{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"><li><span><a href=\"#MCD43A1\" data-toc-modified-id=\"MCD43A1-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>MCD43A1</a></span><ul class=\"toc-item\"><li><span><a href=\"#Subdatasets\" data-toc-modified-id=\"Subdatasets-1.1\"><span class=\"toc-item-num\">1.1&nbsp;&nbsp;</span>Subdatasets</a></span></li></ul></li><li><span><a href=\"#Data-quality\" data-toc-modified-id=\"Data-quality-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Data quality</a></span></li><li><span><a href=\"#Calculate-solar-angles-at-local-noon\" data-toc-modified-id=\"Calculate-solar-angles-at-local-noon-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Calculate solar angles at local noon</a></span><ul class=\"toc-item\"><li><span><a href=\"#Declination-angle\" data-toc-modified-id=\"Declination-angle-3.1\"><span class=\"toc-item-num\">3.1&nbsp;&nbsp;</span>Declination angle</a></span></li><li><span><a href=\"#Solar-zenith-angle\" data-toc-modified-id=\"Solar-zenith-angle-3.2\"><span class=\"toc-item-num\">3.2&nbsp;&nbsp;</span>Solar zenith angle</a></span></li><li><span><a href=\"#Plot\" data-toc-modified-id=\"Plot-3.3\"><span class=\"toc-item-num\">3.3&nbsp;&nbsp;</span>Plot</a></span></li></ul></li><li><span><a href=\"#Albedos\" data-toc-modified-id=\"Albedos-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Albedos</a></span><ul class=\"toc-item\"><li><span><a href=\"#Black-sky-albedo\" data-toc-modified-id=\"Black-sky-albedo-4.1\"><span class=\"toc-item-num\">4.1&nbsp;&nbsp;</span>Black sky albedo</a></span><ul class=\"toc-item\"><li><span><a href=\"#Func\" data-toc-modified-id=\"Func-4.1.1\"><span class=\"toc-item-num\">4.1.1&nbsp;&nbsp;</span>Func</a></span></li><li><span><a href=\"#Plot\" data-toc-modified-id=\"Plot-4.1.2\"><span class=\"toc-item-num\">4.1.2&nbsp;&nbsp;</span>Plot</a></span></li></ul></li><li><span><a href=\"#White-sky-albedo\" data-toc-modified-id=\"White-sky-albedo-4.2\"><span class=\"toc-item-num\">4.2&nbsp;&nbsp;</span>White sky albedo</a></span><ul class=\"toc-item\"><li><span><a href=\"#Func\" data-toc-modified-id=\"Func-4.2.1\"><span class=\"toc-item-num\">4.2.1&nbsp;&nbsp;</span>Func</a></span></li><li><span><a href=\"#Plot\" data-toc-modified-id=\"Plot-4.2.2\"><span class=\"toc-item-num\">4.2.2&nbsp;&nbsp;</span>Plot</a></span></li></ul></li><li><span><a href=\"#Blue-sky-albedo\" data-toc-modified-id=\"Blue-sky-albedo-4.3\"><span class=\"toc-item-num\">4.3&nbsp;&nbsp;</span>Blue sky albedo</a></span></li></ul></li></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction \n",
    "This notebook will provide an overview of the core concepts required for computing the black, white, and blue sky albedos using the RossThick-LiSparse kernel functions for characterizing isotropic, volume and surface scattering (Wanner et al., 1995; 1997; Lucht et al., 2000; Schaaf et al., 2002; 2011).\n",
    "\n",
    "Notes:\n",
    "* This notebook assumes no prior knowledge of the concepts required for the albedos calc.\n",
    "* Interactive plots will only work until the next interactive plot is initialized. Matplotlib only supports one live plot at a time. Rerun previous cells to respawn a plot if you need.\n",
    "\n",
    "## MCD43A1\n",
    "\n",
    "The MODIS BRDF/Albedo/NBAR product (MCD43) is led by Professor Crystal Schaaf at UMass Boston. \n",
    "* [USER GUIDE](https://www.umb.edu/spectralmass/terra_aqua_modis/modis_brdf_albedo_product_mcd43) (this is a fantastic resource)\n",
    "* [README](proc/actual_albedo_tool/albedo/readme) (from MCD43 source code)\n",
    "\n",
    "### Subdatasets\n",
    "\n",
    "The SDSs provide the three model parameters for each band that characterize the isotropic, volume, and surface scattering for the RossThick LiSparse reciprocal BRDF model and their corresponding quality layers.\n",
    "\n",
    "## Data quality\n",
    "\n",
    "Reference: https://lpdaac.usgs.gov/products/mcd43a1v006/\n",
    "\n",
    "Fortunately, MCD43 quality flags are as simple as they come (for MODIS):\n",
    "```\n",
    "Value \tDescription\n",
    "0 \t    Processed; good quality (full BRDF inversions)\n",
    "1 \t    Processed; see other QA (magnitude BRDF inversions)\n",
    "2 \t    Processed; good quality (full BRDF inversions); Band 6 filled; dead or noisy detectors\n",
    "3 \t    Processed; see other QA (magnitude BRDF inversions); Band 6 filled; dead or noisy detectors\n",
    "255 \tFill Value\n",
    "```\n",
    "\n",
    "## Calculate solar angles at local noon\n",
    "\n",
    "We need to calculate a solar zenith angle (0 to 90 degrees) for every observation in the time series, that's every pixel of every image for the whole time series. It's a function of the viewing latitude and the day of the year. \n",
    "\n",
    "These calculations were harvested from: \n",
    "http://holbert.faculty.asu.edu/eee463/SolarCalcs.pdf\n",
    "\n",
    "![sunangle](docs/img/solar_angles.gif)\n",
    "Import `math.radians` and `math.cos` for the calculation:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from math import radians, cos\n",
    "from ipywidgets import IntSlider, HTML, Box, interact"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Declination angle\n",
    "\n",
    "https://sciencing.com/calculate-suns-declination-6904335.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9863013698630136"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doy = 166                  # day of the year    \n",
    "diy = 365                  # number of days in the year\n",
    "deg_rot_per_day = 360/diy  # degree of rotation per day\n",
    "abs_max_decl = 23.45       # absolute |maximum declination angle|\n",
    "deg_rot_per_day"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get cosine of x and multiple it by the negative of the max lat (axial tilt, -23.44) to get solar declination in degrees:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23.303357311228375"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decl = cos(radians((doy+10)*deg_rot_per_day))*-abs_max_decl\n",
    "decl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Solar zenith angle\n",
    "The sum of the solar zenith angle and the solar altitude angle equal 90 degrees. In the northern hemisphere, get the solar altitude angle by subtracting latitude from 90 and summing with the declination angle. \n",
    "\n",
    "Compute SZA at 35 degrees latitude on day of the year 166. First get the declination:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23.303357311228375"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat, doy, ndoy = 35., 166., 365\n",
    "decl = cos(radians((doy+10)*(360/ndoy)))*-23.45\n",
    "decl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now get solar altitude angle:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "78.30335731122838"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "solar_alt = 90. - lat + decl\n",
    "solar_alt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now subtract solar altitude from 90 to get the solar zenith angle:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.696642688771618"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "solar_zen = 90. - solar_alt\n",
    "solar_zen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As a function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11.696642688771618"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def get_solar_zenith(latitude, doy, ndoy=365):\n",
    "    \"\"\" \"\"\"\n",
    "    declination = cos(radians((doy+10)*(360/ndoy)))*-23.45\n",
    "    solar_altitude = 90 - latitude + declination\n",
    "    solar_zenith = 90 - solar_altitude\n",
    "    return(solar_zenith)\n",
    "    \n",
    "\n",
    "get_solar_zenith(35, 166)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The result matches the output from the solar zenith calculator used by ORNL DAAC:\n",
    "```shell\n",
    "[jnd@daacmodis1 plug_1]$ ./local_szn.1.exe 35 166\n",
    "lat 35.0000000 day 166 lzsn 11.696643\n",
    "```\n",
    "\n",
    "### Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "/* Put everything inside the global mpl namespace */\n",
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       "\n",
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       "    } 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",
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       "\n",
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       "        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",
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       "    this.waiting = false;\n",
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       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
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       "            fig.send_message(\"refresh\", {});\n",
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       "\n",
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       "            if (fig.image_mode == 'full') {\n",
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       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
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       "            event.step = -1;\n",
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       "        mouse_event_fn(event);\n",
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       "\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",
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       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
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       "\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",
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       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
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       "\n",
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       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"799.5333333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fd14b1d732c74144851f6e34a9a0358e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=0, description='Lat:', max=90, min=-90), Output()), _dom_classes=('widge…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.pupdate(lat)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "latslider = IntSlider(value=0, min=-90, max=90, step=1, description='Lat:')\n",
    "doy  = np.array([i for i in range(1, 366)])\n",
    "sza  = np.array([get_solar_zenith(latslider.value, i) for i in range(1, 366)])\n",
    "\n",
    "fig  = plt.figure(num=0, figsize=(8, 3))\n",
    "ln,  = plt.plot(doy, sza, label=None)\n",
    "plt.xlim(doy[0], doy[-1]); plt.ylim(-90, 90)  # set x,y limits\n",
    "plt.ylabel(\"zenith angle [deg]\")              # add ylabel \n",
    "plt.xlabel(\"day of the year\")                 # add xlabel \n",
    "\n",
    "def pupdate(lat):\n",
    "    \"\"\"Update plot.\"\"\"\n",
    "    sza = np.array([get_solar_zenith(lat, i) for i in range(1, 366)])\n",
    "    ln.set_ydata(sza)\n",
    "  \n",
    "interact(pupdate, lat=latslider)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Albedos\n",
    "https://www.umb.edu/spectralmass/terra_aqua_modis/v006/mcd43a1_brdif_albedo_model_parameters_product\n",
    "\n",
    "### Black sky albedo\n",
    "```shell   \n",
    "  kernel                      k=iso     k=vol           k=geo\n",
    "----------------------------------------------------------------------\n",
    "  G_0k(term 1)                1.0      -0.007574       -1.284909  \n",
    "  G_1k(term SZN^2)            0.0      -0.070987       -0.166314  \n",
    "  G_2k(term SZN^3)            0.0       0.307588        0.041840   \n",
    "----------------------------------------------------------------------\n",
    "\n",
    "BLACK(SZN,BAND) = F_iso(BAND)*(G_0iso + G_1iso*SZN^2 + G_2iso*SZN^3) +\n",
    "                  F_vol(BAND)*(G_0vol + G_1vol*SZN^2 + G_2vol*SZN^3) +\n",
    "                  F_geo(BAND)*(G_0geo + G_1geo*SZN^2 + G_2geo*SNZ^3)\n",
    "where\n",
    "                  SZN:  solar zenith angle\n",
    "                  BAND: RossThick-LiSparse_r kernel parameter for BAND\n",
    "```\n",
    "#### Func"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def black(par1, par2, par3, sza):\n",
    "    \"\"\"Calculate black sky albedo for MCD43A1 band parameters.\"\"\"\n",
    "    \n",
    "    iso = ( 1.000000,  0.000000, 0.000000)          # iso: Isotropic\n",
    "    vol = (-0.007574, -0.070987, 0.307588)          # vol: RossThick\n",
    "    geo = (-1.284909, -0.166314, 0.041840)          # geo: LiSparseR\n",
    "    \n",
    "    s = np.radians(sza)                             # get sza in radians\n",
    "    sza2, sza3 = s**2, s**3                         # get exponentiated sza\n",
    "    func = lambda p1, p2, p3: (                     # def apply function\n",
    "        p1*(iso[0]+iso[1]*sza2+iso[2]*sza3)+        #  iso\n",
    "        p2*(vol[0]+vol[1]*sza2+vol[2]*sza3)+        #  vol\n",
    "        p3*(geo[0]+geo[1]*sza2+geo[2]*sza3))        #  geo\n",
    "    \n",
    "    return(xr.apply_ufunc(func, par1, par2, par3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "da3ec65eb0144e148d9dc3f2c53fcdc1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=45.0, description='SZA', max=90.0, step=1e-05), Output()), _dom_classe…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "from ipywidgets import FloatSlider, Dropdown, Layout\n",
    "from docs.scripts.mcd43 import *\n",
    "\n",
    "example_nc = \"data/mcd43a1_one_pixel.nc4\"           # example; only one pixel\n",
    "px, sza, bands = prep(example_nc)                   # prep function: mcd43.py\n",
    "\n",
    "band_name  = \"BRDF_Albedo_Parameters_Band1\"         # only plot band 1\n",
    "band = px[band_name]\n",
    "p1   = band.sel(param=0).squeeze()\n",
    "p2   = band.sel(param=1).squeeze()\n",
    "p3   = band.sel(param=2).squeeze()\n",
    "bsa  = black(p1, p2, p3, 45.0)                      # black albedo\n",
    "\n",
    "fig = plt.figure(num=1, figsize=(8,3))\n",
    "ln, = bsa.plot(x=\"time\", label=get_lab(band_name))\n",
    "\n",
    "plt.xlim(px.time[0].data, px.time[-1].data)         # set x limits\n",
    "plt.ylim(0.00, 0.25)                                # set y limits\n",
    "plt.ylabel(\"black sky albedo [unitless]\")           # add ylabel \n",
    "plt.title(\"BLACK SKY ALBEDO: \"+band_name)\n",
    "\n",
    "def update(SZA):\n",
    "    ln.set_ydata(black(p1, p2, p3, SZA))\n",
    "\n",
    "interact(update, SZA=FloatSlider(min=0, max=90, step=0.00001, value=45.0));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### White sky albedo\n",
    "The formula for white sky albedo is:\n",
    "```shell\n",
    "  kernel                      k=iso     k=vol           k=geo\n",
    "----------------------------------------------------------------------\n",
    "  WSA                         1.0       0.189184       -1.377622 \n",
    "----------------------------------------------------------------------\n",
    "\n",
    "WSA(BAND) = iso(BAND)* 1.0      + \n",
    "            vol(BAND)* 0.189184 + \n",
    "            geo(BAND)*-1.377622\n",
    "where\n",
    "            BAND: RossThick-LiSparse_r kernel parameter for BAND\n",
    "```\n",
    "#### Func"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def white(par1, par2, par3):\n",
    "    \"\"\" \"\"\"\n",
    "    func = lambda p1, p2, p3: (\n",
    "        p1* 1.000000 +                             # Isotropic\n",
    "        p2* 0.189184 +                             # RossThick\n",
    "        p3*-1.377622 )                             # LiSparseR \n",
    "    return(xr.apply_ufunc(func, par1, par2, par3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"799.5333333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'WHITE SKY ALBEDO: BRDF_Albedo_Parameters_Band1')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "wsa = white(p1, p2, p3)\n",
    "\n",
    "plt.figure(num=2, figsize=(8,3),)\n",
    "plt.plot(px.time, wsa, label=band_name.split(\"_\")[-1])\n",
    "plt.xlim(px.time[0].data, px.time[-1].data)            # set x limits\n",
    "plt.ylabel(\"white sky albedo [unitless]\")              # add ylabel \n",
    "plt.title(\"WHITE SKY ALBEDO: \"+band_name)              # add title"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Blue sky albedo\n",
    "\n",
    "The cell below creates an interactive plot that will respond to adjustments of the solar zenith angle and optical depth Sliders, and the bands Dropdown:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"799.5333333333333\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "40137a979cf74e74bf69fd25c1240c2d",
       "version_major": 2,
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      },
      "text/plain": [
       "interactive(children=(Dropdown(description='BAND', layout=Layout(width='40%'), options=('BRDF_Albedo_Parameter…"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "def blue(wsa, bsa, lookup):\n",
    "    \"\"\"Vectorize albedo polynomials over two 3d arrays.\"\"\"\n",
    "    func = lambda white,black,lookup: (white*lookup) + (black*(1 - lookup))\n",
    "    return(xr.apply_ufunc(func, wsa, bsa, lookup))\n",
    "\n",
    "def lookup(band, sza, sod=0.20):\n",
    "    \"\"\"Look up blue albedo skyl_lut value.\"\"\"    \n",
    "    od = '%.2f' % sod\n",
    "    luc = band.lookup[od]\n",
    "    lfunc = lambda s: luc.iloc[s]\n",
    "    return(xr.apply_ufunc(lfunc, abs(sza).round()))\n",
    "\n",
    "def get_ylim(bsa,wsa,alb):\n",
    "    a = np.array([bsa,wsa, alb])\n",
    "    return(np.nanmin(a), np.nanmax(a))\n",
    "\n",
    "\n",
    "# albedos --------------------------------------------------------------------\n",
    "\n",
    "bsa = black(p1, p2, p3, sza)\n",
    "wsa = white(p1, p2, p3)\n",
    "lu  = lookup(px[band_name], sza).values.reshape(sza.shape)\n",
    "alb = blue(bsa, wsa, lu)\n",
    "\n",
    "# plot -----------------------------------------------------------------------\n",
    "\n",
    "fig = plt.figure(num=3, figsize=(8,3))\n",
    "lalb, = plt.plot(px.time, alb, label=\"blue\")\n",
    "lbsa, = plt.plot(px.time, bsa, label=\"black\", color=\"black\")\n",
    "lwsa, = plt.plot(px.time, wsa, label=\"white\", color=\"gray\")\n",
    "\n",
    "plt.xlim(px.time[0].data, px.time[-1].data)     # set x limits\n",
    "plt.ylim(get_ylim(bsa,wsa,alb))                 # set y limits\n",
    "plt.legend(loc=\"upper right\", borderpad=0.75)   # add legend\n",
    "plt.ylabel(\"albedo [unitless]\")                 # add ylabel \n",
    "plt.title(\"BLACK, WHITE, BLUE SKY ALBEDOS\")\n",
    "\n",
    "# widgets and events ---------------------------------------------------------\n",
    "\n",
    "def update_ylim(change):\n",
    "    plt.ylim(get_ylim(bsa,wsa,alb))\n",
    "\n",
    "def update(BAND, SZA, SOD):\n",
    "    band = px[BAND]\n",
    "    \n",
    "    p1, p2, p3 = [band.sel(param=n).squeeze() for n in [0,1,2]]\n",
    "    bsa = black(p1, p2, p3, SZA)\n",
    "    wsa = white(p1, p2, p3)\n",
    "    \n",
    "    sza = np.array([SZA]*365)\n",
    "    lu  = lookup(band, sza, SOD).values.reshape(sza.shape)\n",
    "    alb = blue(bsa, wsa, lu)\n",
    "    \n",
    "    lbsa.set_ydata(bsa)\n",
    "    lwsa.set_ydata(wsa)\n",
    "    lalb.set_ydata(alb)\n",
    "    \n",
    "    plt.ylim(min([bsa.min().item(), wsa.min().item(), alb.min().item()]),\n",
    "             max([bsa.max().item(), wsa.max().item(), alb.max().item()]))\n",
    "\n",
    "lyt   = Layout(width=\"40%\")\n",
    "wsza  = FloatSlider(min=0, max=90, step=0.00001, value=45.0, layout=lyt)\n",
    "wod   = FloatSlider(min=0.02, max=0.98, step=0.02, value=0.20, layout=lyt) \n",
    "wband = Dropdown(options=bands, value=bands[0], layout=lyt)\n",
    "wband.observe(update_ylim, names='value')\n",
    "\n",
    "interact(update, BAND=wband, SZA=wsza, SOD=wod);"
   ]
  }
 ],
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          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-3-4a93a3075f83>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(sza)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m14\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbands\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m         bsa = black(\n",
          "\u001b[0;31mNameError\u001b[0m: name 'w' is not defined"
         ]
        }
       ]
      }
     },
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      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_e553c8519b3243c08a8b1055e04b1005",
       "outputs": [
        {
         "ename": "AttributeError",
         "evalue": "'list' object has no attribute 'set_ydata'",
         "output_type": "error",
         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-25-6ee366bcda9d>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(sza)\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;34m\"\"\" \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbands\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 24\u001b[0;31m         lines[b].set_ydata(black(\n\u001b[0m\u001b[1;32m     25\u001b[0m             \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m             \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'set_ydata'"
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\n",
          "text/plain": "<Figure size 1008x360 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "30b70fd093f34d268b13bb60bbb1b355": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "31c1f337039e4dec9c98a442142f6eea": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_b44d7d0eced2413784bf482de639c279",
       "outputs": [
        {
         "name": "stderr",
         "output_type": "stream",
         "text": "findfont: Font family ['normal'] not found. Falling back to DejaVu Sans.\n"
        }
       ]
      }
     },
     "31ebba69ef4d44d1835e906a7d35e6c0": {
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xXEqZ0l99WVnZ50lJSY3DGRPdO8rKyoKTkpKi+6pzd837Wjh3nHfZBuAKgB8ACATw4u0ESERERERERET9c3fafCSATwBACBEI53FxGVLKPwohLgHYMkTxEREREREREd3z3B15VwBwHQ03E4AEUNz92gxAN7hhEREREREREZGLu8l7JYCvdT//NoAPpZTt3a/DAHwx2IERERERERERkZO70+b/DcB+IcRyAEEAlvSomw3go8EOjIiIiIiIiIic3D3n/YAQ4jyA6QCOSinf61FdB+B/hiI4IiIiIiIiIrq1c94/APBBH+UvDGpERERERERERHQNd9e8QwjhK4R4RgiRL4R4Rwgxobv820KI+4cuRCIiIiIiIqJ7m1sj70KICDh3lw+H88i4RAD+3dWzAcwF8L0hiI+IiIiIiIjonufuyPu/A7ACmAAgGYDoUfcugC8PclxERERERERE1M3d5H0egBeklOfhPOO9pxoA+kGNioiIiIiIiEbMjh07tEKIZNdDoVAk63S6yfPnz48pKytTDnc8mZmZ0Xq9fpLr9eXLlz3mz58fExkZmahWq6f6+/tPmTx58v07d+7UDHdsw8XdDeu8AbT0UxcIwDY44RAREREREdFokZeXVxUZGdnpcDhQUVGhys3NHZeamhp/+vTpU1qt1jFScVmtVqFQKGRWVtbFmJgYq8Vi8Th48GDQ008/Pb6hocHzhRdeqB+p2IaKu8n7RwAyAbzVR106gOODFhERERERERGNCtOmTWtPTEy0AkBqampbeHh458KFC+OKiop8ly5d2jxScY0dO9Zx+PDhz3qWfetb32qaMmWK6je/+U3w3Zi8uzttPhfASiHEf+Ef69snCiF+AmBldz0RERERERHdxQIDAx0AYLPZBACcPHlSmZGRMV6v109SqVSG8PDwSY8++mhkQ0ODoud1mZmZ0aGhoZNLSkrUycnJ8Wq1empUVFRiTk5OSO97FBYW+k+cODFBqVQaIiIiEnNzc4PdjS8oKMju6enZe6n3XcGtkXcpZYEQYg2ArQBWdBfvg3Mq/fellH2NyBMREREREdEdzOFwwGazwW63i/LycuXGjRvDNRqNPT09vQUAzGazl16v71y8eLFZq9XaKysrldu2bRs3b948nxMnTnzSs6+2tjbFsmXLYlavXl0XGxtbm5eXp12/fn1kQkKCZcGCBS0AYDKZVEuWLJmQmJjYvmfPniqLxSK2bNkS1t7erlAoFNcl5V1dXXA4HLh06ZLi9ddfD3r//fcDXn755XPD89sZXu5Om4eU8pdCiP0AvgRAB+ASgA+llP2thSciIiIiIrpnbSrZFHHm8hmfkYwhNii2/aczfmoe6PVTpkxJ7Pk6JCTEVlBQUKnRaLoAID09vTU9Pb3VVT937tzW+Ph4a1paWnxJSYl6xowZHa66trY2j+3bt593JeppaWktYWFhAQcOHNC4yrKzs8f5+vo6iouLKwICAroAYPbs2a0JCQmTdDrddXutbd26NWTjxo2RAODp6Sl/9rOfmb///e9fGuj7Hc3cTt4BQErZBuDPQxQLERERERERjSL79u07GxUV1SmlhNls9t65c2dIRkbGhKKiok8NBoPFYrGI7Ozs0IMHD2pra2uVVqv16rHip06dUvVM3lUqVZcrSQcAtVoto6KirNXV1d6uMpPJ5Gc0GptciTsAxMbG2gwGQ2t1dfV1u9w//vjjl2fOnNlWX1/v+cYbb4zZuHFjpEKhkD/84Q8bh+Y3MnL6Td6FELd0druU8r3bD4eIiIiIiOjucDsj3qPF1KlTO1wb1gFoz8jIaIqIiJi8adOmsCNHjlStXbtWv3fvXl1WVlbtzJkzWwMDAx3nzp3zXr58+X0Wi+WaPdYCAgKu253e29tbWq3Wq+0aGxu9dDqdvXe7kJAQe1/Je1hYmD0sLMwOAIsXL27u6OjwyM7OjnjmmWcuKZXKu2rt+41G3otx/ZnufRHd7RQ3awgAQogIAC/BeXa8gHMk/wfdZ8i7c30CgBcBzAbgC+A8gJ1Syu3uXE9EREREREQD4+fnJ8PDwzvLy8vVAFBYWKhZtGjRpZycnFpXm8OHD7uVG/YlODjYVl9ff12e2tDQ4Nas8eTk5LaCggJtdXW153333XdXHWl+o1/A7MG+mRDCB8BfAFgBLIcz6f8ZgHeEEJO7p+Xf6PqU7uuLAXwPQBOACQD8BjtWIiIiIiIiulZLS4uH2WxWxsbGdgCAxWLx6L27e15ennag/RsMhtbi4uLA5uZmD9fU+TNnzniZTCa/vta89/b+++/7+/j4dOn1+utG7+90/SbvUsp3h+B+qwDEAIiXUp4BACHERwAqAfwzgG39XSiE8ADwawBFUsqFPareGYI4iYiIiIiI7nlHjx71qaur85RSoqamxmvXrl26pqYmxZo1a+oBYNasWU0FBQXarVu3dsTFxVnz8/PHHD9+fMCDq9nZ2bXTp08PMhqNcVlZWRetVqvYvHlzmFarvSYZz83NDf7b3/7mN2fOnObIyMjOxsZGz0OHDmneeuutoB/96Ec1KpXqrpoyD7i5YZ0QogrAQillWR91iQD+R0oZ40ZX3wBQ6krcAUBK+ZkQogTAN3GD5B2AEcBEAE+5EzMRERERERHdnhUrVlzN84KCguxxcXEd+fn5lZmZmc0AsHv3bvOqVavE5s2b9QBgNBqb9u/fX2U0GhMGcj+DwWA5dOhQ5YYNGyJWrlwZo9PpbOvWrastLS31Ky0t9Xe1mzJlSscf/vCHMc8//3x4U1OT55gxY+yxsbGW//7v/z7z7W9/u+l23/doJKS8+RcSQoguAA9JKf/eR10KgL9JKW+6rkEIcRFAoZTyn3uV7wSwREoZcoNrnwfwEwCpAH4KIBnAZQC/BbBeStnR37UuKSkp8tixYzdrRkRERERE9yghxHEpZUp/9WVlZZ8nJSXddTuZ0+hQVlYWnJSUFN1XnUdfhf3oL8tPAXDFzT40cCbcvX0BIOgm14Z1/zwI4E9wbniXA+fa9wNu3p+IiIiIiIjojnOjo+KyAGR1v5QADgshOns1U8OZkP/2Fu7Z15cAoo+y3lxfNLwupXy++3mxEEIBYKsQYqKU8vR1HQvxJIAnASAyMvIWwiQiIiIiIiIaHW605r0KQFH38+UAjgFo6NXGCuA0gD1u3u8ynMl+b0Hoe0S+p0vdP9/uVf4nAFsBTOmO5RpSyt0AdgPOafNuxklEREREREQ0atxot/lCAIUAIIQAgBellJ/d5v1OAXigj/KJ6CPx7uNa4PqRe9eofddtxEVEREREREQ0arm15l1K+cQgJO4A8D8AHhJCXN2xUAgRDWBGd92NvAnnSH9ar/Kvdv/kTnRERERERER0V7rRmvfnAeyRUl7ofn4jUkr5Uzfu918Avg+gUAjxYzhH0X8KwAzg1R73jgJwFs7R/he7b3BJCLEFwCYhRDOAv8C5Wd7zAH7d8/g5IiIiIiIiorvJjda8ZwN4C8CF7uc34krCb9xIyjYhxFcAvARgP5xT3osA/EBK2dqjqQCgwPUzA14E0AJgDYB/BVALINedexMRERERERHdqW605t2jr+e3S0p5HkDmTdp8jj52oJfOQ+m3dT+IiIiIiIiI7gmDlpQTERERERER0dC40bT5PgkhdABUvcu7R9SJiIiIiIiIaJC5NfIuhAgQQrwmhGiHc535Z308iIiIiIiI6C6wY8cOrRAi2fVQKBTJOp1u8vz582PKysqUwx1PZmZmtF6vn9Rf/auvvqoRQiSHhoZOHs64hpO7I++vwLlO/VcAPobzyDYiIiIiIiK6i+Xl5VVFRkZ2OhwOVFRUqHJzc8elpqbGnz59+pRWq3WMdHwA0NjYqNi4cWNEcHCwbaRjGUruJu9fBfBDKeUrQxkMERERERERjR7Tpk1rT0xMtAJAampqW3h4eOfChQvjioqKfJcuXdo80vEBwNq1a8Pvv//+9tDQUNsHH3wQMNLxDBV3N6wTAD4dykCIiIiIiIhodAsMDHQAgM1mEwBw8uRJZUZGxni9Xj9JpVIZwsPDJz366KORDQ0Nip7XZWZmRoeGhk4uKSlRJycnx6vV6qlRUVGJOTk5Ib3vUVhY6D9x4sQEpVJpiIiISMzNzQ3uL54//elPvm+88Ybml7/85V2/B5u7I++/BbAAwJ+HMBYiIiIiIiIaRRwOB2w2G+x2uygvL1du3LgxXKPR2NPT01sAwGw2e+n1+s7FixebtVqtvbKyUrlt27Zx8+bN8zlx4sQnPftqa2tTLFu2LGb16tV1sbGxtXl5edr169dHJiQkWBYsWNACACaTSbVkyZIJiYmJ7Xv27KmyWCxiy5YtYe3t7QqFQiF79me1WsWaNWuin3rqqTrX7IC7mbvJ+58AvCyE8AfwRwBf9G4gpfzLYAZGRERERER0J7vwo40R1spKn5GMQTlhQnvY5p+bB3r9lClTEnu+DgkJsRUUFFRqNJouAEhPT29NT09vddXPnTu3NT4+3pqWlhZfUlKinjFjRoerrq2tzWP79u3nXYl6WlpaS1hYWMCBAwc0rrLs7Oxxvr6+juLi4oqAgIAuAJg9e3ZrQkLCJJ1Od82a9k2bNo3t7OwUP//5z2sH+v7uJO4m74XdP8cDeLxHuYRzSr0EoAARERERERHdNfbt23c2KiqqU0oJs9nsvXPnzpCMjIwJRUVFnxoMBovFYhHZ2dmhBw8e1NbW1iqtVqtwXXvq1ClVz+RdpVJ1uZJ0AFCr1TIqKspaXV3t7SozmUx+RqOxyZW4A0BsbKzNYDC0VldXX93l/uTJk8odO3aMe/3118/4+PhcMyJ/t3I3eZ89pFEQERERERHdZW5nxHu0mDp1akePKentGRkZTREREZM3bdoUduTIkaq1a9fq9+7dq8vKyqqdOXNma2BgoOPcuXPey5cvv89isVyzx1pAQMB1u9N7e3tLq9V6tV1jY6OXTqez924XEhJi75m8P/300xEPPfRQs9FobGtsbFQAQGdnp5BSorGxUaFSqbr8/PzuqqTereRdSvnuUAdCREREREREo5ufn58MDw/vLC8vVwNAYWGhZtGiRZdycnKuTl0/fPjwgGdlBwcH2+rr66/LUxsaGq4pO3PmjPrChQveISEhU3q3DQkJmfLEE0/U5+Xl3fFfnvTk7sg7ERERERER3eNaWlo8zGazMjY2tgMALBaLh6en5zUj3Hl5edqB9m8wGFqLi4sDm5ubPVxT58+cOeNlMpn8eq5537dvX1VHR8c1I/u/+MUvxp48edJn//79VdHR0Z0DjWG0cit5F0LcbDM6KaWcMwjxEBERERER0Shx9OhRn7q6Ok8pJWpqarx27dqla2pqUqxZs6YeAGbNmtVUUFCg3bp1a0dcXJw1Pz9/zPHjx/0Ger/s7Oza6dOnBxmNxrisrKyLVqtVbN68OUyr1V4zlX7OnDltva997bXXtN7e3vLrX/96S++6u4G7I+8ecG5K15MWQDyABgAVgxkUERERERERjbwVK1bEuJ4HBQXZ4+LiOvLz8yszMzObAWD37t3mVatWic2bN+sBwGg0Nu3fv7/KaDQmDOR+BoPBcujQocoNGzZErFy5Mkan09nWrVtXW1pa6ldaWuo/OO/qziSkHPgafiHEfQDeAJAlpRz1Z8CnpKTIY8eOjXQYREREREQ0SgkhjkspU/qrLysr+zwpKalxOGOie0dZWVlwUlJSdF91Hn0VuktKeRbAVgC5t9MPEREREREREfXvtpL3bg0A4gahHyIiIiIiIiLqw20l70IIDYB/AXB2cMIhIiIiIiIiot7c3W3+M1y/YZ03gNDu55mDGRQRERERERER/YO7u82/i+uTdwuAcwAOda99JyIiIiIiIqIh4FbyLqV8fIjjICIiIiIiIqJ+DMaGdUREREREREQ0hPpN3oUQzwshwtztSDg9L4QYOzihERERERERERFw45H3FwDob7GvFwC4nfATERERERER0c3daM27APC8EKLBzb7EIMRDRERERERERL3cKHk/DyDxFvs7D8A68HCIiIiIiIhopO3YsUO7bt26aNdrDw8PaLVaW0pKSuuWLVtqkpKShjXvy8zMjC4tLfWvqan52FWm1+snXbhwwbt323379rdG6JwAACAASURBVJ1dtmzZleGMbzj0m7xLKaOHMQ4iIiIiIiIaZfLy8qoiIyM7HQ4HKioqVLm5ueNSU1PjT58+fUqr1TpGOr6ZM2c2Z2dnX+hZNnnyZMtIxTOU3D3nnYiIiIiIiO4x06ZNa09MTLQCQGpqalt4eHjnwoUL44qKinyXLl3aPNLxaTQa+5w5c9pGOo7hwKPiiIiIiIiIyC2BgYEOALDZbAIATp48qczIyBiv1+snqVQqQ3h4+KRHH300sqGhQdHzuszMzOjQ0NDJJSUl6uTk5Hi1Wj01KioqMScnJ6T3PQoLC/0nTpyYoFQqDREREYm5ubnBw/PuRjeOvBMREREREVGfHA4HbDYb7Ha7KC8vV27cuDFco9HY09PTWwDAbDZ76fX6zsWLF5u1Wq29srJSuW3btnHz5s3zOXHixCc9+2pra1MsW7YsZvXq1XWxsbG1eXl52vXr10cmJCRYFixY0AIAJpNJtWTJkgmJiYnte/bsqbJYLGLLli1h7e3tCoVCIXvH95e//CVQrVZPdTgcIiEhof1f//VfL96N690BJu9ERERERERDomhfecQXNa0+IxmDRu/XPuexBPNAr58yZco1m5iHhITYCgoKKjUaTRcApKent6anp7e66ufOndsaHx9vTUtLiy8pKVHPmDGjw1XX1tbmsX379vOuRD0tLa0lLCws4MCBAxpXWXZ29jhfX19HcXFxRUBAQBcAzJ49uzUhIWGSTqez9Yxl7ty5V6ZNm9YeGxtrra2t9dq1a5fuscceu6+lpeWzNWvWfDHQ9zxaMXknIiIiIiKiPu3bt+9sVFRUp5QSZrPZe+fOnSEZGRkTioqKPjUYDBaLxSKys7NDDx48qK2trVVardarR4ifOnVK1TN5V6lUXa4kHQDUarWMioqyVldXX90x3mQy+RmNxiZX4g4AsbGxNoPB0FpdXa3sGduvf/3ra76UWLZs2eUpU6YkvPjii+FM3omIiIiIiMgttzPiPVpMnTq1w7VhHYD2jIyMpoiIiMmbNm0KO3LkSNXatWv1e/fu1WVlZdXOnDmzNTAw0HHu3Dnv5cuX32exWK7ZYy0gIOC63em9vb2l1Wq92q6xsdFLp9PZe7cLCQmx907ee/P09ERGRsYXP//5z8PPnTvnFRUVZbtR+zuN28m7EMIHwAoAswBoAFwCUAxgr5SyfUiiIyIiIiIiolHDz89PhoeHd5aXl6sBoLCwULNo0aJLOTk5ta42hw8fVvTfw40FBwfb6uvrr8tTGxoa3MpdpZQCAIQQ162Pv9O5tdu8EGIsABOAHQBSAPgAmAbgPwEcF0KEDlmERERERERENCq0tLR4mM1mpUajsQOAxWLx8PT0vCZRzsvL0w60f4PB0FpcXBzY3Nx8NVc9c+aMl8lk8rvZtTabDYWFhUHjxo3rjIyMvG70/k7n7sh7DoAgAI9IKUtchUKIhwH8DsAvADw+6NERERERERHRiDl69KhPXV2dp5QSNTU1Xrt27dI1NTUp1qxZUw8As2bNaiooKNBu3bq1Iy4uzpqfnz/m+PHjN020+5OdnV07ffr0IKPRGJeVlXXRarWKzZs3h2m12muS8VdffVVz+PDhMWlpaU1RUVGdtbW1nq+++qru1KlTPq+++mrV7b7v0cjd5D0dwPqeiTsASCk/FEL8GMDWQY+MiIiIiIiIRtSKFStiXM+DgoLscXFxHfn5+ZWZmZnNALB7927zqlWrxObNm/UAYDQam/bv319lNBoTBnI/g8FgOXToUOWGDRsiVq5cGaPT6Wzr1q2rLS0t9SstLfV3tYuNjbU2NjZ6vvDCC+FNTU0KtVrdNWnSpPaesd1thJQ3XwoghOgAsFBK+VYfdV8F8IaUUj0E8Q2qlJQUeezYsZEOg4iIiIiIRikhxHEpZUp/9WVlZZ8nJSU1DmdMdO8oKysLTkpKiu6rzq017wA+BbCsn7rvAvhkAHERERERERERkRvcnTb/bwD2dW9MdwBALYCxAL4NYC76T+yJiIiIiIiI6Da5u93+691Hxb0IYE+PqjoAT0kpDwxFcERERERERER0C+e8Syl3CyH2AIiH85z3LwB8KqXsGqrgiIiIiIiIiOgWkncA6E7Uy4coFiIiIiIiIiLqQ7/JuxDisVvpSEq57/bDISIiIiIiIqLebjTyvrfXa9eZcqKPMgBg8k5EREREREQ0BG50VNz4Ho9HAFQDeBWAEUBC98/dAMwAZrp7QyFEhBAiXwjRJIRoFkIUCCEibzVwIcQGIYQUQnxwq9cSERERERER3Un6HXmXUp5zPRdCbAfwWynl+h5NPgXwnhDiFwCeBbDwZjfr3rH+LwCsAJbDOXL/MwDvCCEmSynb3AlaCBEDYCOAenfaExEREREREd3JbjTy3tMcAG/3U/d2d707VgGIAZAhpXxDSlkI4BsAogD8s5t9AMAuAL8BN88jIiIiIiKie4C7ybsVQEo/ddMAdLrZzzcAlEopz7gKpJSfASgB8E13OhBC/BMAA4ANbt6TiIiIiIiIbsGOHTu0Qohk10OhUCTrdLrJ8+fPjykrK1MOdzyZmZnRer1+Uu/yzz77zGvJkiXRwcHBSd7e3ga9Xj/p6aef1g93fMPB3aPi/j8A2UIIB4BDAOoAhAJYCuAFAL9ys58HABT2UX4KwJKbXSyECALwEoBnpZRfCCFudgkRERERERENUF5eXlVkZGSnw+FARUWFKjc3d1xqamr86dOnT2m1WsdIxvbpp596P/LII/dHRERYt27den7cuHG2qqoq5ZkzZ4b9y4Xh4G7y/v8A+APYAmBrj3IJ4EB3vTs0AC73Uf4FgCA3rs8FUIHrd8InIiIiIiKiQTZt2rT2xMREKwCkpqa2hYeHdy5cuDCuqKjId+nSpc0jGdv3vve9qNDQUNuHH35YoVQqXSehtY5kTEPJrWnzUsoOKeUyABMBPAHnlPXHAUyUUj4mpbTcwj1lH2U3HUIXQjwC4DEAq6WUffXR33VPCiGOCSGONTQ03EKYRERERERE1FNgYKADAGw2mwCAkydPKjMyMsbr9fpJKpXKEB4ePunRRx+NbGhoUPS8LjMzMzo0NHRySUmJOjk5OV6tVk+NiopKzMnJCel9j8LCQv+JEycmKJVKQ0RERGJubm5w7zanTp1SfvDBBwFPPfVUXY/E/a7m7sg7AEBKWQHnyPdAXYZz9L23IPQ9It/Tq3BOz68WQozpLvMEoOh+3SGltPa+SEq5G84j7ZCSknJP/EMlIiIiIiIaDA6HAzabDXa7XZSXlys3btwYrtFo7Onp6S0AYDabvfR6fefixYvNWq3WXllZqdy2bdu4efPm+Zw4ceKTnn21tbUpli1bFrN69eq62NjY2ry8PO369esjExISLAsWLGgBAJPJpFqyZMmExMTE9j179lRZLBaxZcuWsPb2doVCobiaz73zzjt+AODj4yMffvjhCceOHfNXqVRdc+bMubJr1y7z2LFjR3RK/1BwO3kXQvgCWAngy3Am4P8spawUQnwbwAkp5Sc37MDpFJzr3nubCOD0Ta5N6H481UfdZQBZAF52IwYiIiIiIqIh97+7Xo5oNJ/zGckYgiOi2r+6+gfmgV4/ZcqUxJ6vQ0JCbAUFBZUajaYLANLT01vT09OvTlWfO3dua3x8vDUtLS2+pKREPWPGjA5XXVtbm8f27dvPuxL1tLS0lrCwsIADBw5oXGXZ2dnjfH19HcXFxRUBAQFdADB79uzWhISESTqdzubq68KFC14AsHbt2uiFCxdeeu655y5WVFQof/azn4XPnTtXXVZWVq5QXDP4f8dzK3kXQkQAKAYQDuATAIlwroEHgNkA5gL4nhtd/Q+AfxNCxEgpq7r7jgYwA8BzN7l2dh9lLwNQAFgL4Ewf9URERERERDRA+/btOxsVFdUppYTZbPbeuXNnSEZGxoSioqJPDQaDxWKxiOzs7NCDBw9qa2trlVar9eqS6FOnTql6Ju8qlarLlaQDgFqtllFRUdbq6mpvV5nJZPIzGo1NrsQdAGJjY20Gg6G1urr66kZ0XV3O6gcffLBl//7957uLWwIDAx1PPvlkzO9+97uAkV6TP9jcHXn/dziPi5sA4AKuPRruXQDZbvbzXwC+D6BQCPFjONe//xSAGc5p8QAAIUQUgLMAXpRSvggAUsri3p0JIa4A8OyrjoiIiIiIaCTdzoj3aDF16tQO14Z1ANozMjKaIiIiJm/atCnsyJEjVWvXrtXv3btXl5WVVTtz5szWwMBAx7lz57yXL19+n8ViuWaPtYCAgOumsnt7e0ur1Xq1XWNjo5dOp7P3bhcSEmLvmbxrtVo7AMyZM+eaBD0jI6P5ySefhMlk8rlXk/d5AJ6UUp4XQvSee1ADwK1z9KSUbUKIr8B53Nt+ODeqKwLwAyllz10BBZwj6u6eQ09ERERERERDzM/PT4aHh3eWl5erAaCwsFCzaNGiSzk5ObWuNocPHx7wfPXg4GBbfX39dXlqQ0PDNWWTJ0+2AIAQos99zTw87r5U0t135A2gpZ+6QAC2fuquI6U8L6XMlFIGSCn9pZQZUsrPe7X5XEoppJTZN+nLKKWc6e69iYiIiIiIaOBaWlo8zGazUqPR2AHAYrF4eHp6XpNA5+XlaQfav8FgaC0uLg5sbm6+mqueOXPGy2Qy+fVs95WvfKU1ODjY9vbbbwf2LC8oKAgEgOnTp7cNNIbRyt2R948AZAJ4q4+6dADHBy0iIiIiIiIiGhWOHj3qU1dX5ymlRE1NjdeuXbt0TU1NijVr1tQDwKxZs5oKCgq0W7du7YiLi7Pm5+ePOX78uN/N+u1PdnZ27fTp04OMRmNcVlbWRavVKjZv3hzmmibv4uXlheeff77mmWeeif6nf/qnyMWLF1+pqKhQbt68Wf/ggw+29Fxbf7dwN3nPBZAvhACAA91lE4UQ34RzB/pvDEFsRERERERENIJWrFgR43oeFBRkj4uL68jPz6/MzMxsBoDdu3ebV61aJTZv3qwHAKPR2LR///4qo9GYMJD7GQwGy6FDhyo3bNgQsXLlyhidTmdbt25dbWlpqV9paal/z7Zr16695OHhIV9++eVx+fn5wYGBgfaFCxde2rFjR83dOG1eSOne0edCiKcAbIVzl3nXDoItAH7YfZb6qJeSkiKPHTs20mEQEREREdEoJYQ4LqVM6a++rKzs86SkpMbhjInuHWVlZcFJSUnRfdW5fc67lPKXQoj9AB4GEALgEoAPpZR33XQEIiIiIiIiotHE7eQdcO4WD+DtIYqFiIiIiIiIiPrgdvIuhBgDIAvAl+A8Gq4GwIcAXpZSXhma8IiIiIiIiIjIrVX8QogkAJUANgBQATjd/fNHACqEEJOGLEIiIiIiIiKie5y7I+874FzjniKlPOcqFEJEw3l83H8AMA5ybEREREREREQEN0feAUwDsKln4g4AUsrPAbwA4MFBjouIiIiIiIiIurmbvF8CYO2nztJdT0RERERERERDwN3kfReAHwohVD0LhRBqAP8K4JXBDoyIiIiIiIiInPpd8y6EeLHnSwBRAM4LIf4IoA5AKID5ADoA+AxlkERERERERET3shttWPfjfsof66NsI4Dnbz8cIiIiIiIiIuqt32nzUkqPW3gohjNoIiK6Mdkl0eXogsPWBXunA50WO6wddljabOho7UR7cyfamqxovWxFyxcWOBxdIx0yERERjSI7duzQCiGSXQ+FQpGs0+kmz58/P6asrEw53PFkZmZG6/X6q0eU946v9+P8+fPunqx2x7jr3hAREQEfFpzBiT+b3W4fEKLGnMcSEDZhzBBGRURERHeavLy8qsjIyE6Hw4GKigpVbm7uuNTU1PjTp0+f0mq1jpGKa/HixU0PPPDAJz3LpJRYsmRJbHh4eGdkZKR9pGIbKkzeiYjuQpEPaKH08QSEgIeHAATg4SEghIDwQPdPASGALofEiT+fx++3mRAR4w1PHx9AKAC7xfkA4OnlgeSMRGgjgm4tECmB2jLA0uT+NdGPAB7u7qd6C977N6Dj8uD32x8PBZD8OKCJGb573kDrZSvOn7oEKSV8A5WImqSFEGKkwxodzpcC5YevLfPwBMZEAGOiAIX3P8qFAMKnAV7q4Y2RiGiETJs2rT0xMdEKAKmpqW3h4eGdCxcujCsqKvJdunRp80jFFRYWZg8LC7smQX/rrbf8rly54vnss89eGKm4htKNNqzrAiDd7EdKKflFABHRKBHheAcRnUU3b+inAzQxiJ9yDH//qzeqzyV0Vwj0/BPQ6gjG56c/xJz4d3FfdOu1fUR+CZj6XWdS09sHLwFFP7m14H/cAHh437zdrfo4H7hyfvD77Y/dAnz2HrDqnb5/N8NESonTH1zAh787g07LPwZI5q2ciLhpY0csrlHD3gn87ntASy2g6DEL1NEJdNn6vkafAjz+BybwRHRPCgwMdACAzWYTAHDy5Enlj3/847CjR4/6Xbp0ySs4ONg2a9asppdffrkmJCTk6h+ezMzM6A8++CCgoKCg8plnnok8ffq0j06nsz399NN1zz77bEPPexQWFvpv2LAh/OzZs2qdTtf5zDPPXHQnttdee03r5eUln3jiiS8G8z2PFjdKuF+E+8k7ERGNJl9UORPHG5FdQGsd0GWHt5cPZs7+DhAV6ExwrS1AUBQQEA54eKD1Uhve+r0Vb32SBv+zlxDo1QhvDwsguxDvtR8xp34PzHsR8PYBPFWA31jgo4POxD0xE0hZ6X7sHkP0XfDTpUPTb39OHADeWA2cfgN4YOEtXfrJX2vR5ej7T7DN6kBTYwfarlgBCXQ5utDyhQXNlyywd3YBUiI5PRrTv+Ec8S8+8ClOv38B+gn+mJlcA5XSgSNvBuFvb1Thvik6KLxuMMuhqQY4/1fnc4U3MCYS0N4HKP1v6f24rbPd+dN7GA+xOfEboMkMfPd3QOzcq8XWVitkcx0cV2rQ/IUdzVckHA4ALbWI/PRH8Pv9U8Di1wBbO9BW77xIrQHUXHpCRHcXh8MBm80Gu90uysvLlRs3bgzXaDT29PT0FgAwm81eer2+c/HixWatVmuvrKxUbtu2bdy8efN8Tpw4cc209ra2NsWyZctiVq9eXRcbG1ubl5enXb9+fWRCQoJlwYIFLQBgMplUS5YsmZCYmNi+Z8+eKovFIrZs2RLW3t6uUCgU/eanra2t4o9//GPQ7Nmzm8aOHTti0/mHUr+fkKSU2cMYBxERDaYv/9D5uBmHHWg6D/hoAVVgv8387gMWTu1C2V/MaKwORXNjBzo6HehoseF8axK+W/U0fH854x8XKLyBLjswfhaQ8UvAcwhG0ke7yd8CPvxPoOhF4P6vAwovty9972AFbJb+P3d4KRXwC1LCQ+Fc/uCvVUMfFwQvpQKN1a049sfPoY8bA5vVgdPvX0DS7LGYceVpiGITAOBLtiQcvpyNk+/VIGlOxPU3kBIw/Rr4341AZ6+ZFt7+wPf+DOjud/v9AAAaKoD8J5wzEhTewMJXgXGTnXVn/wL89RXgs/cB/7HA40ecU9aHmr0TeP/fYRn7COosU4BTl3DlYjs+/dtFNJxv6eeiEKhVu7CgbD1CzBOBlou4OtbhqQYW/wq4/2tDH/sQsLTZ8N5vKzDta9EIGus70uEQ3RW+yK+IsF1sG9Fjtb3G+rZrFse5vxFOL1OmTEns+TokJMRWUFBQqdFougAgPT29NT09/eofi7lz57bGx8db09LS4ktKStQzZszocNW1tbV5bN++/bwrUU9LS2sJCwsLOHDggMZVlp2dPc7X19dRXFxcERAQ0AUAs2fPbk1ISJik0+n6mRIF/OY3vwlqbW1VPPbYY40Dfa+jHae6ExHdyxSebq/JVnh5wPDVqGvKrtS347+z/4ajka/DaDjrLOxsA66cA7ocwKxnR03i/uarHztHq4eJEMDYoBeReOFpBH7wkvPLFDenz//TCw+hv8lvCi8PqHy9+l2vbut04ODP/o6ifeVw2CW0el98qfMnEBdPAAt3A3oDIot+goiSMhw9DOii/BEaEwiPmqPA288Dlz8HHDagvREY/+XuGRV+zhHmL6qAN9YAf/0P4Juv3Nov5IOXnNfHpwOn3gBOFzqT964u4NATgJcPYHjMOWPj1wuAJ/4IBITd2j1uhaUZOJYHy+UryK/LQtOJj65WhUT6Y/o3Y+CtUkAIAX+tCmN0PvD09kBbUyfe2v0xft+Ug+mao9AkBMEnOBgQEopTB+H/349BMX8LMP3JoYt9iLz32wpUHq2DT6A3Zi6eMNLhENEosW/fvrNRUVGdUkqYzWbvnTt3hmRkZEwoKir61GAwWCwWi8jOzg49ePCgtra2Vmm1Wq/+gTp16pSqZ/KuUqm6XEk6AKjVahkVFWWtrq6++mHBZDL5GY3GJlfiDgCxsbE2g8HQWl1d3e8u96+//ro2KCjIvnTp0lvYaOfO4nbyLoTwBpAOIB6Aqle1lFL+dDADI7qTOOxdgMSNp58S3YXG6HzwwJf1zhHc9AWjerTOS6mAt3r4vrN22LpQ9n8KnOjaibD804h8PxtRX/smgqcabnqtX9DAT+Dx8lZg7uMTUZB7HMJD4Bsp70Nx+i3g6y8BSd9yNvrmTjx8/rv4XdX9KPg3E5SeVqjkJcBjuTOJhgA8lcDZAOCsBYAFCk8PBGhjEKJ6AcllL0IxJxvwC3EvqJY64GS+cwO/+bnOJP589zKG+tOA5QqQ/gsg6dvOGQv7M4BXHgJC4oGoLwFfed75RdNgMB8FDj8D1J+GQ3rij+3b0GpR4KurJsIvSAmVrxfGhPY/SOYXpMLiZ1Pwh1fK8EHlQ0Blz9qn4SFWQ7v/M3w14CMEJky+5tryD2vRWO38zKrV+yH+obFQKEbH343Ko3WoPFoHT28PnPv4EpN3okFyOyPeo8XUqVM7XBvWAWjPyMhoioiImLxp06awI0eOVK1du1a/d+9eXVZWVu3MmTNbAwMDHefOnfNevnz5fRaL5Zr/yQUEBFw3rczb21tardar7RobG710Ot11O8WHhITY+0vez5075/XXv/41YPny5fVeXu7PdLvTuPWXUAgRBuADANFwDgW4vk3pOSzA5J3uCF2OLnh0f1hy2LtwqaYVdZ81o/5cM3wClEh4eBzGhPqgs/tMbC+V8wN/Xx+w7J0OfFxcA9P/nkOn1Y7Q6ABo9X5QKDwQEKJG4iy9c6dvurtc/Bh4Z7NzXbjsAvQGIHYeED3TucP4PSZlfjQ++Wst3nz1JCISguAbqIQQAnabA80NHWi+ZOl3/XZfMv7f1CFJaOY+PnHQ+7yZ1stWnP6gBp+V2lBa/QA+ea0CjyYlDfm/J2NjAjH3iYlQtJoR/H4OkPwEkLLiHw1UAQh+PBfLD34f1V+Eoro9Hp3+sUBIQr/T++2dDjQ1dODzC3FQ+s9G0rFfAcbn3Avo2K+co/nTn3K+jvwScOw157T1cyXOsqiHnT8jpgHLDwPH8oCGT4CS7UD4g0DC1927l7UFaK13zvywtQGXzwHNNc7XTWY4/r4X73WswxdeG2B1+OByqwdSVyYgNlnnXv8AfMcosXTDNLResaKpoQOWVucsTpvVgSZzHU4Wt+EPr9Ug84UEqHydv8+Pi6vx3m8r4KVUXG17/M3PMckYjqBxvvANVEJ2SXR1SXh6eUDh5eF87ZDw16rgrbr+I5vD0YWq/2vAxaomBI31hTbMF14qT3irFAgI/sdmeiffq4G/RoWoRC0A4ELlZXxcXAPZ4z9Lc/kXCB0fgAkpofjgUCWu1LXf8EsMIrp3+fn5yfDw8M7y8nI1ABQWFmoWLVp0KScnp9bV5vDhwwP+QxccHGyrr6+/7n96DQ0N/eaue/bs0TgcDqxcufKunTIPuD/yngugAcCXAZwHML379QoA3wKQOiTR0ajW3NiBM8frofTxhMrXC62XrWhu7IDCywM+Ad6InhyMMbrR84e/wdwC01vncNZUD2+1J3wCvNHcaHGOmgNQ+3vB0maH6X/PwVvtic6OHl/4CSBAq4K/VoWOFhtaL1thtzkgHRJSApETNdCE+eJC5RVUHqtDl13CZnXAXP4F5q2Y2OeHLhpdZJdE6xUrPDoaofrsDSjU/s7pvX69PtDXmID9C52bqoXEOxOS0l8CH/4HEDMbWLL3ntuwyifAG8bvxsP01nmcLqmF3fqPL9V9xygREKyCp/foGF0cbn5BSjy4IAYPLohB28V6tJrPD9sXPHHTQoG85YA6CJj7wvUNQuKh+v7biAUQewv9vvGSCcervoOJpT+EV+zca5cCqDVAYMS1o+Q2C3D0V0BcmnOzOwCIfAgo3Qlc/MiZvAdGOjfDc9EbnA+HHdg+GTi65+bJ+3u5zv8W2/v/3CYl8I7iJXzaFA193Bj4eggkzddhwrTQW/gNOAkPAX+NCv6a3pMRxyHys5+h8Nw////snXd8HOWd/98zs31XuyqrLtmSbUnuDVewsY1NieklCWcukEAulwIJpF6Sy6XcXcrlcrnL5Xchl8AFCEnAQCCUGGywwbhX2ZabbPXeVlptL/P8/nhULKu627Dv12tfq52d8syudub5ts+Xdb8+yKI7JuLzhNn83HEKZqTxkc/NRFGg+mA7O16tYMsLJ0Y/lgKpuQ4cyT0BJ9n9kdZaH/7OMKpBQY8NdJDd+sgsxk2Txvqev1ZhNGuMm5aKoihsf6WCtlrfgAyPtBw71z0wBVVVeH9tOVUH25id2f+d1B7uoL7cQ1quA1e6dUDbyXhMx9MUwNPoJxSIEQ3FiITiRMMxLDYjqbkOsgqd5JakoBk+nNeCBAk+SHR3d6u1tbXmSZMmBQFCoZBqMBgGXISefPLJtLPd/9y5c32bNm1yeb1etTd1/sSJE8a9e/c6hqt5f+6559KKi4uDV199dXCo9z8ojNWiWAp8Fejtl6cLIaqAf1IURQN+Adx+/oeX4HIkGo6z981q9r1VD3P0vAAAIABJREFU02f49mIwa+gxHT0u2PlqJas+ORV3voPtr1QQDsRY/bkZaAYVT5OfPX+tZvGdE7Enm4lF42x+vpzieZnklpxhH+kxsGddFdtfrsBo0Zi+LA+EwN8VYfwMN5kFTjILnThSzAS8EY7taKK7PURSmgWL3UisR5SrsyVAd3sIp7tXGEpFURXyp6SSWzx4zAc21vH+88d58d/2MHVJDuOnpSWiGBcBPa4Ti+jEojomq4bBqCF0gacpQCwaJy3P0RfVjXc2cmLtWg4fMtAaLSCq907CpzLL9gpLnF+CpGy5yGgFVx407KNRzGG36ZtYFRep+XYyFxnJ8L6BccM34InrYcljsk96L+5JkHvVxf0gLjLF87Monp+FENJxBaBqCgbjhy8TYTjsWRnYs8Ye3R2ArkOsZz4S8cu6dG+DFAUEmQGix2SE2VMtU99FHGq3y9p06/m7ri64ZQJ//lknh9rnMee3KwevoBplp4LUCTL1vumQNKgXf75/nfxF8rl6q3xMHGI/IJ0AV30KNv4LtJ2Qv6WhKN8A7/yLdKAVXit/t5oRoVnwa7n44m50DFQf8XJsfT0Lbi1k/s2F5/ZBjEDO9HFc1/0bNpR/lhf/bQ8A7nwH1z80rS8bq2Cmm/Ez0gh0RehqDRLwRlA1BVVViEV14tE4iqagKAodDX6aK7sIdkcGRMvT8x0sv6+EcdPS8HWE8DQF8HlCbHr2GD5Pv75DNBzH5wnTVufDYjfSeKKLhbdNYN7qgiHHn5pjl8b7Kmm8R0Ix3nqyrC/DYDhUVcFsN2A0axjN8rmt3sfJ/a0gwGwzMPGqDBbeOgGb8/LQwkiQIMHo7Nq1y9bc3GwQQlBfX2/81a9+ldHV1aV9/vOfbwFYtmxZ10svvZT24x//OFhcXBx+4YUXkvfs2eM42+N973vfa1y4cGHK8uXLix977LGmcDis/PCHP8xJS0sblEoP8P7779vKy8ut3/3ud+vO9phXCmM13tOABiGEriiKHzh1FvAO8PB5H1mCC0ZHg59jO5porupCUZQ+8SOT1UA0FCPkjyH0gR58Z5qFwtnpBLwRtv35JP7OMEXzM1l0+wRUTSHoi2J3mbEmyfTA7vYQb/62jL/++iCqQUFBeuZ3v1HFVR8Zz5u/KaO93kd3R4jbH5vDlhdOcHhzA1WlbfzNdxf2pRmeLbVHOvA0+Smal8mJPS1sf7mConkZLFtTgtk2/L7tLjNzbxg/7PtnwswVebjSrby/tpz3ny/nfcrJLUlm9qpxpGTZ0OMyHVLvSYsUusBkMZCcZUNVFeJRHV9nGJvT1JdmeSGIR3ViMR3zRawFPlPiMR2hCwymwZ+DrgsObqpj77pqQv7owPRsRX6nkUCYaEQuMmgxUpN8qDE/3QELfn06KbZOJqdXkapVQnIhDfpcSg/eTvLUmUxPl+rcUoStlnrbzbx28uMYLXHU5g6ObZdtR1VtIlNnvcji9s9ievlzp41SgZt+BItOX/7BQ1GURKbJ+eBP90mBOCHA3wrtJ/uN99GwZ0A0CJFuaSTPWnNeh5ZTlEz+lBT2Vn0Kx1Wf6H9DgEXx4NIrsPjLwVNFNCzosl0Hc+eQU7C0f92kTGnc739Wnl9vyvxQzL0f3v2JTL2/6UeD3/e3o7/8BTaGv83JvQthb/9b8ZiOHvMAnr5lRfMzhzVazxsTllGy+36yP/coHUoxAW+EwlnuQb8NRVGwJ5uxJ5+9xkEvTrcVp9tKOBBl07PH+pxoQN/f5TubsTjkPXCkbIOCGW72r68hHIhithkpfbuWkC/KnV+Zi9Gi4esISSeCACEEiqLgyrSSnGkbsuQlGo5Tf8zDyb0tHN3WyMk9LcxbXYAjZWDWgsmqYbYZsdgNmG1GjCZNRvdVZViBxgQJElx4HnzwwT5l25SUlFhxcXHwhRdeKL/77ru9AP/7v/9b+3d/93fKD3/4w1yA5cuXdz3zzDMVy5cvn3I2x5s7d25o7dq15d/85jfzH3rooQkZGRnRL33pS43bt293bN++fVCv0ieeeCJN0zTx0EMPtZ/tOV4pKEKMXoeoKMox4BtCiJcVRdkPvCWE+HrPe98EHhVCnHnO2UVm3rx5Yvfu3aOuJ4SgYl8rx3Y0kVucwqR5GYQDMToa/LjzHMNGT4Uu8HeFUTUVk0Ub0tC4WHjbg1SWtlFT1o6/M0w0HCca0YmF40TDcRRVIX1cEqoKsahO2B8jHIxhsmiY7UY0rf8mKQR4mvyyfzBSmXjJx4rJnjh8WymAWDTOtpdOEo3EWXBLITteqeDYzmbGT0+j6kAbU6/J5vCWRvKnplJ7uIMJc9KpLG2jZFEWK+8f/FuPhGK0VneTmmPHmmRC1wUhXxRr0kDV5ZZqLy/9+17iUR1VVdB1QeEsNzd9ZnpfrfvFpqs1yMl9LRx4p25UtWujRcPuMuNtDaL3OFHMNgOOFDnB0+OCkD9KPCZAyLR9IQRGs4Yr3Yorw0ZyhhWzzUhTRRdttd1MmJ3OlGtyEEJQd8Qjv2urgaaTXRze0oCiwL3fWThqJKTqYBuRUIxxU9PO2cEyEi3VXoK+KEIXVB9s5/iuZiLBGGabgayJLpbcU0Rypo2G8k62vHiClioveRkeMp1tGAhjsJjQbA5CHR68zd0Y4h4yzVVozlSaPGl4IhlgSsJotzNl1TTGL56Ocoo2ga4L3vjVAWrLOrjqI+MJdkcJeCPouqDuSAdJbiu3Pzobu8tMyB+lqaKLygNtHH6/AUeyiUnTTp2QCmyNGyj2/hr7NWvgxn8ds+J4gg8xT90qDXCQUfO0IlnCoShgsEBKgVRi10ygqIACqgqOLNkjXQgItEuVeOPpad3nTlNll4woj13KgNu+NJv8Kan9C17+vDTeAR7eM3xUHeCFB2V0/ZpH+pcJAd56RNU2NlbewJHAdRQvyMSa1H8dUzUFZ5oFR6oFzaCiGVSyJrouvBZJoAP+bQIs/yYs/8aFPdZpxOM6j39hEwtvK2Te6kLiMZ3HH94EyDIOs01GxO/++ryhd6DrNFbI++jSjxdRPD+LZ/5xK7klKaz+3MyhtzkDPE1+Nj17jIbyzjFvY7JopOU5yC1O4aqbxmMwadQe6eC9Px3HYjeSmmMn4I3gafQzcW4Gi+6YcFkY++0NPk7sbsHmNOFKl1l7ownbNlV0cei9elqqu4kEYyy8rZDJi7NleUJcx9Pop73ej91lImuCC82gEvBGMFkNF9TR/2FDUZQ9QohhfiRQWlpaNWvWrA90bXWCS0dpaal71qxZBUO9N1bj/XEgKIR4TFGUzwH/D9gARIEbgV8LIb5w/oZ8YTjdeBdCcOCdOmoOt6PHpUCMI9VCV0uA2iMeLHYjIf/gFLGcomRKFmUxYXY6RpNGY0UXVaVtnNzX0pempqoK05blsuCWwgtq5AxFxf5W3vzNIfS4IDnTRkqWDYNJk2lsJg1nupVJV2WcUcpaNBKn9nAHCCic5R5g6IyVcCDKn/55Jz5PmBkr8rj248W8/dRhjm5rIrPQyZ1fncvOVyvZu66aa+8tpmheZl+EoO5oB+88fZTujhAga2xDvii6Lkgfl8ScG8aRPyWVeExn7Y92o6oKqx6cSmVpG5FgjKUfL7os0nfjMZ3qg+1EwjFUVUHV1L40SVVTCHRHaK70EuiKkJJtw+m2EuyO4POE8XnC+DvDaAYVs92AwaBCb80hEAnFZWp/W6jP6Fc1WZPZ1RrEkWImHIwN6B2tKDB+hpvawx2Mn5HGTZ+ZPuyEp+ZwO6/9dylC0FcuMPeGceQUJ5/XSdLeN6vZ9ueTfa81o8rEyQZS3Bq+WArlu1uIR3Xc+Q6aK71YTUGW2B6nyLoVxZosDZtAu4xSWpJhwnJZazv5ZrA4xzyOcDDGSz/dQ0eDH7PNgD3Z3Pd5rvjbyQMMhF6aKrp494/H6GwODFgei+goCArN21lxZxqW5Z89248nQYLLhu6O0IDriUAQ7I7ibQ0SDsjMRoNJxem2svn54whdcO93FvYbGHufhr88Ao5M+MqxkZ1adXvg/26CeGTgclsaO4KfZHfjEuatLmDhbWNre3hR+PUyWb7w4F8v+qEff3gTs1bmsfjOSYT8UZ74ymYyCpy0VHkBWPrxYmauyBu8YcUmeP4B9I/8jOdeyaejwY/VaSLYHeHef1xAWu5ZZ8EOQAhBZ3NgQKaUEMjsv0CMcCBKyBclFpVZVwFvhLZaH00VXaSPS2Lqkhw2P38cZ5oVa5KRjkY/NqcZq8NIQ3knM1fkseRjRRfUgPd5wqx/skzel41qn8igK8NGycIsvG1BNv/pOLFof3mhxWGkeH4mqkEl0BUmLdfBxLkZuNKtCCHYt76G7S9XYLYayJrg7HEOe8ksdKLHBe0NvgHaBqpBQVVkmYXFYeQjn51BzqQPl+bKhSJhvCe4lJwP490NpAohjve8fgQpVGcD1gE/EEKEztuILxCnGu9CCLa+eIL9G2pJybZjtmpEIzq+HuNw/i2FzFiWi6cpQNXBNuwuMylZduqOdXBkSyNdrcE+gysW1VENCuOmpjFuqowqtNX5OLKlAZPVQPZEV186m9NtweY0Y7JqKKoio+CKgtM9tJLsmVJ1oI2//vog6eOSWPWpqZeVYBxI4+bo9iaW3DMJg0kjGo5T+nYNkxfn4EiRte8v/tse2mp9fSnPiiJvksmZNhbcWkh3RwhPox+by4zJonFkayNdLT0RKgUMRpW7vnYV6fmDsmo+FOhxne6OEAFvFHeeA4NJpeZwBwfersWeYmbS3Iye1MoY9mQzjhRzn8F8w0PTKJztRo+JAS21ulqDrP3RLhwpZq69t5jqsg6ObGkg2B3tcxDZk83SqdNzSVEUcGXYcOfZiccE3R0hhC4w24yY7QYsNiNmmwGzzYDBqBEOxjiytYHtL1cwqTjOrDlRdIyk1TyFufJVudPMGfhnfJ4tR2fSUt3FdOPLTBN/xLjoAbj6izIVF+QsMNQF5qRzEgfT4zrhYGzEntpjobM5wJGtDex/q5IUrZZbPzcZ+7QR0oQTJPiA0VDu4c8/28esVfn9LcjayuGX82DanVLocTT0uKztPwWhGnjiq5vJmZTMRz4747KItvax/p9g2//AY2VgdkhDfizji4akpkFXrbyG2dPB7gazc/jtdV0q60f8oKg88d2jFM3L5Nq/KaG7I8TT39rKko8Wsf3lk8Tjgk/++JrBDvy6PT0ZH35wZBL77C6O7ulm3/oa8qemsXxNyTl/JOdK5YE2NjxZRiQUJ7PQyS0PzxoQIBFCsOXFE5RuqMWVYSUe1UlKs7Dygam40q0j7HkwUiOgG2uSCZvThC3J1Bc193nCvPzzvQS6IhTMSCMeE306BS013X1OrbzJKaz6lOxy0VrTzZGtjVSVtqFoClaHsS/gY7LI+1QkFGfi3HRWfGIKZqsBoQvKNtdT+k4djhQz6flJuMc5SMt10N0eovFEJ/G4wJlm4eCmerxtQebfXIAj1YLBqOHKsJKSabukmaDDoeuCWDiO0aKBkPOMjkY/0Fsm0Zs5Y8WZbh2ULdNbrjHS/muPdFC+q5msCS6mX5t7RuNLGO8JLiXnbLx/UJgxdZZ49bm36W4PUXukg8rSNmasyGPpR4sGRJJHuyAIIWit6ebk3lZikTh5k1PILU4Z1D+4vd7Hnr9W0dEYwNseHBChGAqTResbR9/XIgQoCiULs7jm7kkD0q1Cvii1RztoOtlFa203/s4w3R1h0vMd3Pal2SPWdl/O6HGdlupuag53yLo6ZM39nOvHDVvzXHukA0+jX95IZ7rJKUp4ns8EXRe89NM9NFd6+5ZlFDgpnJlGsDtK5QGZwfDRb87DlW6Dut3Emk9ytC6f6ioNb3sEf3esP4VWEbJLU2To441EkX07qxw/RVV6JulmFyx5FCwu2Vqq+SDkzpOT2Ib9sOZPMGnVuX8IF4Ha0lreePwQdkMXt331Gpzj8y/1kBIkuGhsevYoZe83kD3RRd7kVCw2A6L0OfyuuXij6XS1BfG2Bsma6GL152aOSZW8qzXA77+zneX3lTBt6ZlNzi84J9+RnSl6MTulkJ8lWToV3SUw9xOQNUPe6+v3wrb/hsN/kWKDp6OZ4bpvwzVfkq87a2WXi+qt0FI2wLHxdMuvyZ2aycqHV9DR4OePP9jBDXfZaPW5CQdjrLhBhdYjMLVHa7irDh5fIq+zN/wrPHcfLPny0F0KLjGdzQFO7Glm5nX5QwY9eiPYjSe6sNgMVB6Q9tXSjxf3ObT9PS3+Wmt8dDT4SMtzULwgi6RUCwFvmCNbGjm0uX6Qgr/ZJjvVhAIxYpE4tz4ye1AJYTQSp7K0lXhUULIoa5DRGY/pqD1ChN62IBX7W/F1hPsyCScvzjorJ1TIH+Wt3x6i9ohn0HtmmwFrkomsQifjpqWRlCZLaWTw6vxrlDSUe9j7Zg0+T5hwQGaw9nYicrmtBP1RGss7iYTiGIwyAzEywhzZYFQxWjTiMdGjY6FjMGmk5dpxpFrwd8rMRBRp9Mci0vEeC8dRNQU9Lli2pmREAz7kj9LdEZJlislmNIOWMN4TXDISxnsP49JLxDfu/hUgL2QzVuSx4JbCi+KpF0LWKXvbQgS7I0SCMXRdYDIbiMd1vG1B/F3S0ukbjQIKMpW6fFczmYVOZl6XR3d7iPrjndQd9fSIeKmkj0vCkWLB6bYwe9W4i56qn+DKx+cJU/Z+PQajSjwmqDrQRmtNt/z/yk9i4W0TyE1tldGk46OngQoBfjWb9rRbMTjTSLIGUENthNtbCUdUQlo6Yd1BOBgnFvBjjndgN3gomJmJOv9+sLkh7JUT216lbCHgwHPw5rch2CGjdVOvrEYXTbv28c7vj7L676eRPPXc60cTJLhSiIRkK86asg5aa7r7lquGnuia24rFYeD4jmZmrshj6ceLR91n+a5m3nqijI99az7p4y6zbCtdh9I/QqgTYmHobpQR9bAP9Cg0HoB4GGxpMlNIj0ln5Zy/lW3yXHkyku5vA38LlP4JQl549IB0Xv7+Hqh8D8Yvhpy5YEuV0f1QF398LpWUfDc3feMWmiu9vPCT3dw84VkKvv6EHNszd0HFRnj0oDzOhu/Dlv+Ch3fJdn4vfQbKXobbfyk7beTNh6Sss/schIDOGtCMUqfhIuNtC/LXXx+UGX2nYTBrpGTaBqWjK6rC5MVZTF6URTgQI+CNEPBGCPY8RyM6828uIGvCyNo/FxshBD5PGD2uy1K65gBdLUEC3RH8njD15R7C/n6xbpvLxEf+fgYZ45M4vKWRqoNtIMBo1ihZlMX4aWmDyiS9bUH2v12LryOEzWnC6jRhd5owWmSL3YYTnZzY3YI92UzG+CTMdiMIQTyq4++K4G0LYjBp5BYn43RbCXRHiEd10sclkZbrQNUUhN4j5hsTdLUGaG/wEwvH0QwqqkFFMyhEgnHa6334OsM4ekQfFYU+cVujRSNnUjL5U1NZ/0QZVYfamTgnnY4GP11tPdmzqoKiKQidAe2BFVXhC7+6LmG8J7hkjGS8f6gkgVNz7Nz99av6hL8uZnqdoihYHSasjrNrjTJhdjpvP32E9U8cBsCVbmXO9eMonO0mfVzSkOquCRKMSKhLil0ZZSqhI8XMwlv760UX3FJIyBfFZDPIyMHxt+B/H5D9zVf+E5Ssho4K8LXIdlCa6ZSHASUWwVGxCUf5W9DQEwmwpeJIKwSTGQKVcuKa65YTusJ7YcKykVtaKQrMulfWsHc3QsZZiZheUrLmz+HeOTNRDRc2jbGuro7m5uZR17PZbLhcLlwuFzab7fJKO07wgcJkMbDo9oksun0ikVCsz1gy2wwDDASr3UTpO7U4UiyYbQZQYMrV2UP+bzZXe9GMKqm59ot2HmNGVWHOfcO/H+iAA8/LCLg1BZLHw4x7ZKr8UFiS4S8PQ2MpuPKl8b34Ybj++wPXC3kxPv9sn8J8NCyNEmPnEWg+DNZkua3Qpe7AtV+XwoFFN0jDHWDV9+D4Onjp7+TrwmvhgVdHP+dIAFqOyAyppkPQXCYf4S75/rirZbbBzHvl53MRcLqt3PP1eTRVdBH0RYmGYziSLSSlWfrSscOBKJWlbUTDcSwOIxnjnWecZn85oChSl6WX08sHdV1mjob9UWIRnS0vlvPnn+0lKc1CV0uQ5EwbJotGS02YE3taSM60MXNFHiWLsmiv93Po3TrKd7egqJCcYev7TE8VrtSMKvNWFzD3pvEYz0O6/vnIpLzxM9N567dl1B/vJKvQScEMNwIQPR1/AJLSLCSlWggHZASeX53zYRMkuCB8qIx3g1G97LykY2XSVRnkFCUT8EbOW318gg8hsQj8+e/hxNtyMmW0QdH1kDkD2k9AZ7U06uMRyJmLZfximUbpqYJ3/hWypsOa5/sjMKMZz5NXA/92/s/DmiwfVygX2nAHOHz4MFu3bj2jbYxGY58hb7fbBxhLBoOBVatWYbVeeRPaBJcfI93DFt81keaqLra+dKJvmTvPQcb4wYKTLVVe3HmOK9OBbUuFRWcgXlmyWnYWOPIquHJlpH763YPXMzkwKiGiEWmUREM9xrsSlJkAtlRpuGdOhz1PQeY08DXLlny9OHPgi/vBWy8j/tt+Ke8DKQXDj6+7GR6/Rrb+AzAlyX3PuEfeOwLtcGAtvPw52P8HuP3/yTKCs6W7Se5n/DWQv2BEPQHNqJJbMrxj2GwzMnlx9tmP5QpBVRUyC/p/RznFyWz43WG6WoLc9PfTmTA7vU/V/uTeFko31PLen47z/gvl6DGB0aIxc0Ues1eNw5Ei2xvqcV06RUJxTFapYzOWkpeLicGonZdOCQkSXA4kLMArCJvTdEYK8QkSDEAIeP3LUPaSTMt0F4OnWk4ED78CSTmy73JqT/S9YhMcfL5/+wkr4OPPDB8VSnBZce2117Jo0aIR1xFC4Pf76erqGvRob28fsF5XVxdut5vFixdf6KFfMDo6OtB1fcj3NE3D6XSiaUPpauj4fD4ikTMXcUhNTUW9SBHGDwqaQeX2R+fQUtON0azx/A93UXWgbZDxruuC1lofU67+4BtdANjTpKF65FXZNjCtSJYVnY6qYtRiBHv+XaN+KQJmVEIy0m9xQv5CWPIY/PFeeP2rUvG/6IaB+7Glyoc1Bbb9P2kor/jW8OMr/aM03O/8tdx/8vjB0fWlX4V9z8C6b8F/jcGYsqVJJ4M1RQr4CR1KbpafxYbvy5IEgJw5MO0umLhCrp/IIBoTFruRW74wa9ByTVMpnp9F0bxMmiu9HNvRhDvPQdH8zEGON1VTsbvMcGXGxhIkuOJIGO8JElzJBD0yRdFTJWsq3cUyKu5rgUBPKZaiSXGkul1y0rT0q7DyO/37WP1T2U/afFoLICFkJD4WlvtInXDR0hwTnDsWiwWLZfT+3i6Xi5yc0etQH3/8cQ4dOsSiRYvOKLVeCEF9fT3R6OC2m8Mxfvz4C2LwPv3003R2Dt9bWlEUkpKSBhjwQgh8Ph+xWGzY7UZi2bJlrFix4qy2/TBjMGl9La+yJ7ioPNDGglsHtoHzNMk62Mzx59+h6PV62bx5M/H4YBEtRVGYO3cuubmXQCBv6u3wxleh7ZjsIT/Mb9FoiBONyt9Q1C9bVxoL50PtK+Brglv/CyZdD85cGV1f8hhow0wJXXkw8TrY9yws+8bQHTyEgH2/h/xFsrRpOBRFRvgnLJf6JfGRfldCjq3pkBTUc+XJe9XGf5Fv5y2Am/9d3tt2PQnrvwPrkfu/7b9H2G+CsaIoClkTXFds1mqCBB9ExmS8K4pyvRBi/YUeTIIECU7B3y6NcmuyjLKYHHLi03QIDq6VSsZNBxlQbDYak2+BFd8euEzVBhvuII81Uopkgg8V06dPZ8OGDfz8wb8hNTUVV2YWyZnZuDKyyCgoJG/K9EFR7cbGRtatW0dtbe0ZHesf//EfL4jxftNNNw3rRIhGo3R2dtLV1cXpQq4Oh4OUlJQxOUNOZcuWLRw7dixhvJ8jBbPcbHvpJN0doQH1vC1VUvQuo2BwOv25smPHDnbt2oXDMfjaGAgE8Hq93HffCPXsF4rJN0vjHWSkeRiMRkE0JI3sPuN9xs3Q+i7EQrI9n2aAeZ+CjT+COZ8Y+bhz/hZe+BRUvisN+dOp2wXt5f1K+KORPA6u/drY1j2drnpoOy7r8FUNsmfB/E/L5Vv+E3b+LxQuk+n6CRIkSPABY6yR9zcVRakAfg38TgjRegHHlCDBlUO4WxrTDXtlPR9IZeDWY1JQzWSX6X75C2RaX+txua45SaYUehvkpCfQLpV4VaOcUEUCMjpyKgar3M7fIkXjxi2WkZfcqyC1UG7fdlxG3R0Zsjcwimw5pOuyjUH27ET0PMFZMW3aNDZs2EDanAW4wgG6WpqoOVRKLBymcM48dh87wf79+wdtZ7fbufnmm0lPTx/zsS5UmvnkyZMvyH6Ho6Ojg40bN+L3+7HbL0NBtSuEwpnSeK860MaM5Xl9y1uqvZgsGskZtvN6PCEEZWVlTJw4kU98YrBR+/rrr7Nv3z6i0ShG40Xu7OLMkaJvsSCkD6/GbzQKonE5xYsGZS9xoytNittF/FLLBOCax2DqHf1CdcMx+WZ5L3vv3yFtkjS+T2XfM2C0w7Q7zvrUxowrVz6GWn7jj2QL0dcek+fYUSlT/6fffeWl0oe65HzCmtLTXlCFeBSaD8lztDghY5o8L0+V/E6uQBHXBAkSnBljNd6vA/4e+GfgnxVFeQn4tRDi3Qs2sgQJLibdzTKSHfFJozcahKYDssZOUaWCelK2nAS0HJFqv111cv1eFE3eRM1JkD5FGuzRoBQC2vrfUlwIZGp7NChrD3sN+4IlsnVQvOehmSBzqkxVD3mlwe5rkWnyvbV99rTB53H6hGoU9HicXa++RCTgZ+maT57955fgA09KSgp5eXkEolEe+OKXAWnkBLo6eX/rVrbt3MXs2bNJSekXhTI4MjAOAAAgAElEQVSbzcyePfuMI9YfFCZOnMjGjRupqKhgxowhapMTjImULDvJmTYqTzHedV3QXOklfXzSoFZW50pDQwOdnZ0sW7ZsyPeLiorYtWsX1dXVTJo06bwee0zc+6xMUx8Bo0khphvRdUE0EEYjgmpLg5JPDlxRM4C7aPRjGsyw/Fvw5rfgF3OkBopmlJFv1zg49GdpuF9qTRTNAHf/Vvasf/aUyHvFRrj552C4BLpB0ZCs1e9FxMHbKMvSPFWyjV5E6hIQ9Mhlnkr59wAURsy0Uw2yXGD2mvM7/gQJRuG1115LuvXWW4tfffXV47fcckv36FskOBfGZLwLITYBmxRFSQMeBP4OuFdRlGPA48DTQojTrzKXH0EPbP4PaTClFsroZsdJaD8pn4MemZpsSZZe6IypMOWWfg91goEIIW9Iek9N4Ok3xWAn/PUb0Lhf1mFPXAnXfLF/286afqVZIeC9n0rvfua0Czfmuj2yLi7klca0iMua7s7qwesarNIYVhRpbHc3ShV2R5Y0oCesgKRMSJ8se+wmZQ5/3LBPGv3uSf2t0OJRebO9iNEAoeu0VFUQ8Hahx2PseHktjcePoigqiz96H4aLHUVKcEUxffp01q1bx/bt2zGbzQgh6O7uZtvOXcycOZPbb7890WruFHJycrBYLJw8eTJhvJ8jBTPdHHinls3PH5f9qo93EvJHueqmc1ArH4aysjJUVR02U6OgoABN0zhx4sSlMd5tqaOuYjTLlPlYJE40HMaohM/dsF74GdlBZMsvoGqzdGzHI1C+QabiX/Wpc9v/+SJlvGxr11kt7837noF3fwL1e6Xz3GCWzveuOtlxxZYq7+lF1/douxj6H0JApFsa4Ioiz1lRpdPCmTe8TgDIecZfvy6F/EZCM/d/N2YHpBTKsoaUArBnyAh80CPnW4oK6SWQM7tnXnEYUORc5d0fSyX/mm3ytckhdQGyZ408zgtBJABH/tIz14r2n4PRJrULXHlSb8GaIudiEb+cY3U3QdgrXwvRc77FMtvEYJLzRotr7IEKXZdzUFeezEhMcEG4+uqr/Rs2bDg6Z86c4KUey4eBM/o1CyHagZ8CP1UUZSXwPeA/gB8pivI88DMhxMHzPsrzhacK3v7+4OXWVGmsO/NkJLWzWkZh42F442sw86NS4dVdLFVML/ZF8GwJdMgbbKBdXvSFkA/NIBVcbWny3C0ueVMS+inr6fR5eIWQBm7YCw37oOxlqN/dH0nuxTVOKt9mzZA3nXd/IiPXE1fKdO4N35NCMtZkOPo6PHcffGaTvGm2n4CN/yovzLf/8sJ8HuXr4fn75c0ie5a8+SqavEFf9YAU7+kVe9OMkDpx4Het6/L/w3IW9ZVmB+TPH7hMu/CGshCCE7u20VxxAk9DPbWHDxLs9vYPy2Zn6tIVHN68EU9DHenjCy/4mBJcufSmzq9bt27A8vz8fG699daE4X4aqqpSWFhIRUUFQojE53MOFM/P5MDGWo5sbcSWZGL8jDTGTUtlwqyxl2OMhVNT5odri2gymSgoKKC8vJybbrrpvB7/fGG09NS7h+NEQzGMagjM50EbwJUHq09r/ykERAOyTOxyIWe2fIBUyHcXw47HZc/5WFieR192XIusk992hnMPg0UGeezp0iFgtMpng0U+H/6LnAMt+Iw0VPui5orM5EsZL8vnHJlnX86WfYpi/5q1Ug9h71MD17Gmwif+3P95nAtCSK2do6/LuaXdLedNqRNkxxqhy6zFDd+T596HIudO0aB0+JwrWTPkvNxgkZmKmknO6eJRuf94WDoAytfLcVhT4KO/k0KJCc47qamp+sqVK/2jrRcMBhWr1XoGQk0JhuKsrFBFUVYj0+gXAS3AK8CNwH2KonxRCPGr8zfE80jGFPjm9p60pErpAUydMLQXW49Lb92uJ2WP0z2/k8ttaVLt1Z4ua6k0E4xbKOuP0yZd2pqq+j2w+0mZAu5rlnVRQh99uzMlYxos/Ky8USuavOnoulS/bToIx/8qj5uUA598Q34+NTvgyRtk6tq0O2VrMoBj66TxXrFJvq7ecv7HGwvD1l/Aph/L/4H7Xhw5Sj6cd1ZVz85wv4SU79zKq//xIxRVxZmeQcHsqyicNRdXpmytlJKdg8/TweHNG2mvq0kY7wlGJCkpiccee4xwOIyiKH2PpKSkRDu0YZg4cSJHjhyhra3tjOr+LxdisRgdHR19jgdFUbBarRe9hj99XBKf/cXy854i30s4HKahoQGPx0NXVxfXXTeEKNspFBUVsW7dOjwez4BSkcsFo0U6h6OhONFwXEbeL9T9S1EuL8N9KGbcM7KAXdgH1VtliZoek0agHu85NwcYLf2lCkKXmQatPXMeX7OcZ8SCPc8h+ezMhU+tk3Ogi4HBBLf9Am75T5lVGGiX57TuH+C1R+HTbw/dKaDsz1D6XH8poCtPaiuoPWURjkxppDcdgIr3oKuGPmM81DX0WDJnyEBM5oweUdwk+azrsp1gVx1462SGpmaUjg9nrjyWxdkj0KvJqH3jAZlNAJCcL7c98irsfaan3PA0Z4Ciybm5wQR58+Har8L2x+GZu+CqT8rMBUeGzHgIdsDxN6Fut5wXpk6UbQ4Lrz2f38wVzZe//OWcn//859kHDhw49Mgjj+Tv3LkzKTk5ObZmzZq2n/zkJ42apg2ZNr9gwYKSeDzOV77ylaZ//ud/zj158qTl29/+dt13v/vdlkt9Tlc6YzbeFUXJAh4CPg2MBzYDfwu8KISIKYqiAf8F/BNweRrvBouMgJod8gIwEqomhcByr4Jb/gM6KqTH9ujr0piPhfoj9ft/L7exuaUXVDPJaG5KgUypLr6x3yAMdEgv76lRbfnHKa97/tbjUtCsswZMNumhjYWgrVyKmUX88iZjdsqsgqOvgdkFaRPkhfbar8GkVT2p3z2pXihyH8EOOZZAu7z49qaD0ZsWpvT83TNR0kwyQp9SMLqwTSQgI+2pE/onC3nzZDlC+XqpeF7+plx+YgOs+Ga/8d5RIWvBnOfYtzcakkJwDXul46WjQjpdbvvlFWeAny1C19n2wh9Jyc7lgX//JZph6Ei/0WJFUVTa689METzBhxO73Z4QXzsDJkyQ7c1Onjx5SY13IQRbtmxh9+7dCCEwmUxce+21TJ8+fciMgN4I9Pr16+nqGjhB1zSN+++/n/Hjz3/K+khcKMM9FArxxBNP0NoqtXiNRiMlJSUjbtObLn/48GFmzervk20ymTCZLkFd9WkYLWZAitVFw0L2eDcmfrfDYnZA8Q2jr3cloKqAKiPi0++SzoYXH4I9/ydV+XsRQgY21v+TnF+mT5ZOGG+9NJZ1XRrGgTa5D0syFC6Fa78CJTeDI106Obob5RzL1yLnjxaX7EgwlKNAVaWRnJQJXDWGczHLrMXTMxevfmTgeehxacj3RuBPZ/rd8OqXZDvDeHjge0nZUnfI3ybP+9ALo4/rQ8hdd901ac2aNW2PPvpo8yuvvJL8s5/9LCc/Pz/ypS99qX24bSorKy1f+9rXxn3ta19rmDRpUiQ9Pf3seq4mGMBYW8W9CNwChIDfA/8jhCg7dR0hRFxRlD8Anz/vo7zUGMwyYpsxRXpuY2FAkV49IaQxXbMNarb31B8JiEWkYRoLSUO+6AZpKNfu5Ixaew07Jov0TKqa9BirBlj2D7D4C2MzTodSaj1fmGyD07NUDSatlMZ7zTbpMMiaIbMFfC1Q+Z5MZW8sldH3c2nx4qmWQjVtx+XrjGkyZWyo9jYfYE7s2k5bTRWrH/7KsIY7gMFoJDkrm/a6mos4uiubSCTCkSNHCAaD6LrOlClTLsvoW4JLT2pqKm63m7feeouamhpmz55NUVHRRU2hj0QivPLKK5SVlVFYWIjL5aKpqYkXX3yR3bt3U1RUhNPppKGhgfLycgKBALquEw6HycrKYsWKFRgMBoQQCCHYsGEDb775Jp/+9Kev+IwLXdd56aWXaGtr44477iA5OZmkpKRRRRbT0tJISUlh/fr1rF/f30lX0zRmzpzJ4sWLyci4dDW2Rpscf9TXTTQqMGrRRKeRDyvT74a9T8OGH8iMU5NdRq+rt8qgz7S74M7H5Vx3KOKx/hT50w1jzSgDRGcolnteURRZ4jhSSas5Ce55Us7Z/W0y+h+PyHNOnzwwa9ZTBZWb4fv3n7chvvzyy/ktLS3nty3GGZKRkRG44447zjpK8/DDDzf1Gup33HFH95YtW5Kef/751JGM987OTsNrr712+Oqrr07Uwp9Hxhp5LwIeBZ4RQvhGWO8g8MFvaHvqBU5RpJhGerGsmz4VPS7TqvY/C4delNH35f/Qo+x6SlQbpX9fva97I9/ObOkRjfhlLb5mltuPQbDmsmPS9fJzePffpHf0hn+Bp2+XIoJhLyx+RLZ3OVPjPdAhjf54RNZT/fXr0mlyz5Oy16vdfeHO6SIQCQWpLTuIzenCmZ5Bw7EjlO/aRrDbi2Yw4khNI7NwIsmZWSiKiqJpWBwOtr3wB1Kycym5ZvT0r7S8fNprP7zGeywWQ9M0FEXB4/Fw8uRJ7HY7kyZNwmg09hktqqrS0tLC2rVr+6J0AOvXr2fGjBlcd911JCcnX8IzSXA5ct9997Fjxw4OHDhAW1sbRUVjUPc+T8Tjcf70pz9RUVHB9ddfz9VXX42iKOi6zp49e3jvvffYsGEDIA3PwsJCJk6U2VXZ2dnMmjVrkIEuhODPf/4zBw8eHBB1Ho329nY2b95MNBpFVVWuu+66AU4vIQS6rqOq6gV1bsTjcd5//33a29vx+XxUVFSwevVqZs8ee02woih87GMfo7Z24Fy4ubmZ0tJSSktL+exnP3vJDPh+491HNKpg1eKXZBwJLgMUBW7+GfxmpRS068WRCdc8Ciu/O7JjRzOMXGp4JaEoMmPAMUIWVEqBfHD+jPcPAvfcc8+AFKySkpLgoUOHRnRI5OTkRBKG+/lnrMb7fCFEeLg3FUXJFkI0CiG6gUT7uF5UTbb7uvFf5eNcsLv7ldmvVCatks9Vm6UhX7BUiojs+q1cPvE6GLcIqoape6/dCW//QDpPNJP0BHsbe+qvTsGVD/f/BTIubk/ns6WzqZG22mrsKSl4W1s5/N7btNZUkZabj8lmp3LvLqLh0IBtrElOXBmZxKNRassOUPrW60Pu+yMPfwV1qBSy00jLG8fJPTuJx6IjRumvRHRdp6uri7a2NuLxOG63G6vVSnNzM/X19Rw7doy6ujoMBgNWq5Xu7v4uJ2azmaSkJDo7O4nH4zidTvx+P2azmTVr1pCXl0ckEmH79u3s2bOH48ePc9tttzF16tRLeMYJLjdSUlK46aabWLVqFV6v97wbprqu9zmYeh9GoxFFUXj77bepqKjgtttuY+7cuX3bqKrK/PnzmT9/PqFQiK6uLlJSUsaU8j1jxgx27NjBhg0bSE1NJTU1tW+7Xh2E0w3w+vp6nn32WWKxGE6nk46ODsxmM7fccgtCCJ5++mkqKysBGDduHJ/4xCcuSA/1WCzGiy++yJEjR3C5XCiKwtKlS5k/f/7oG59GdnY22dmDS7yWLVvGL37xC3bs2MGtt956PoZ9xhjtck4d9QeIRlWMlgugf5PgysFdBF8+LGv6wz6ZUp9QX79onEvE+3IhIyNjQMq7yWQSkUhkxHSejIyM6IUd1YeTsRrvzyqK8lEhBjcWVRQlG9gIXBmWUoJLhyNditM17IOSj0jnxsTrZDQ+a6bsWz7+ajixHnytgz2jG74nRfjSJsnSBVuqFILJfFDu15wEsTAifQonDx/HX/oGeVOmk5qTRyQUJB6LYXNeXm3/mitP8vz3/4FIsN8x6UhJJWfyNDobG2itrmTykmWULFpKNByiq6UJ97gC8qfOQNWkUS50nc7mRrrb2wCIx2KEfN0gBJOvGbpP8emk5Y1D6Dqexgbc+Veek0jXderq6ggEAkQiEaLRKOFwmLq6OioqKgiFQsNum52dzZIlS9B1Hb/fT2ZmJsXFxXR1dVFWVkYgEKCoqAiDwUBXVxeqqrJy5UqSkmRrH5vNxk033cSCBQt44YUXeP7553E6nQMMF6fTydVXX01JSckVn2ac4OwxGAykpo6eNRWPx9m/fz/Nzc00NTURDofRNK3v0WsYx2IxPB4PXq930D5cLhe5ubkcPnyY+fPnDzDcT8disYyaJn4qqqpy44038tRTT/HEE08MuY7RaCQlJQWHw4GiKNTU1GC323nwwQdxu928/PLLlJaWsmrVKmpra6msrGTmzJnY7Xa2bdvGX/7yF+66664zcnSUlZX1aQvYbDY6Ozvp7u7m1KlLc3MzdXV13HjjjSxevHjM+z4TnE4nM2fOpLS0lJUrV2KzXfxsWWOPLkU0ECAa1zAax1au5/f7ef/995k/f/6Y/lcTXEH0aj4lSHCRUBQloSx/ARir8b4E+CXwhVMX9ojYbQSGjcqfjqIo+cDPgeuR+eIbgEeFECPm7CqKMg/4DHAtMA5oQ4rm/aMQonKsx09wiSn+iFQOLe5przNplTTeJ/ZUWxQskc/VW2DaHf3b1exAVG0htPwHWFd8acAuA94uTu7ZQchXjdB1jrz/B9pqqvpXUJQ+YUB7cgrucQUYTCaErhMO+An2TO40TSMpzU3mxGKMZjPNFSfobmtFMxoxWa2k5Y0jfXwhBbOvwuoYW79cT2M9VQf2YXEkkZTmJmticV8vdU9TAy/96LuY7Q7u+Np3iISCmCxWcqdMG1O0vO/0VJWU7FxSskfXMYjH4+zYsYPW1lZ0XScej6PrOhaDhlAU2utqx2S8x+PxvujahaC3f3hzczMnTpzg+PHjxONx0tPTmTRpEgsXLkRVVaLRKHv27GHHjh14PJ5B+0lKSmLy5Mnk5+fjdrvRNI3W1laCwSAZGRlkZWXhcAw9mXG73X3pw2MhNTWVBx98kG3bttHW1jbgvZqaGp577jmysrK49957E6n1HzJ8He1YHEkYxihkpqoqGzZsIB6Pk5mZSUpKCvF4nFgs1vfcu15BQQHJyckYDIZBke4TJ04wfvx4brzxxvN+TuPHj+eRRx6hpaUFj8dDLBYbEPkPBoN0dHQQCAQAqbp/88039zm95s+fz/79+yktLeXQoUO4XC5uv/12NE3DarXyzjvvYLVaycrKIjk5uU/4bzgOHz7M2rVrMRqNRKP9wR6bzTbgc9E0bVAWwoVgwYIF7N27l3379nHNNdec0bbxeJyWlhaamppQFAWTyYTRaMRkMpGbm4vB0D91i8Vi+Hw+vF4vXq8Xv98vz7ejE0ESUX+MaNyI0TS6E6SlpYU//OEPdHZ2UlVVxac//Wk0bez3ogQJEiRIcOEZq/F+M7BRUZQWIcT3ARRFyQTeAWLAyrHsRFEUW882YeABpHLbv/Tse6YQYqQegfcC04BfAGVALvAdYLeiKLOFEFd8Ssr5oLc+uv7YYUwWK8mZWVjsDlSDEc1oRDMYiIaCdLY0EejsBMBosVCyeCn25LEJbrVUVdBaXcmk+Ysw285QvfaaL8Lk1f2CecU3ybYcMz4mX+fMkYIqu34r0+rtaXL5lv/kgH8CGx5fT87GeooWLCbo7aKlqoKaQ6Xo8f56vpScPFY//BWyikqoO3KIruZmLHY7KAptNVW01dag63EUFMw2G2m5+Siahh6L0tnUSFXpPoTQcWVk4srMRo/H6G5rpfrAPuKxGKpmYPyMWZhsdiIBPzZXMu788bjzx5M2bjxC16ktO8iRrZup3r97wOkbLVbGTZ9FOOCj+eQJNJOJj33rB6TljtL94DROrcEeiUAgQE1NDVarFZPJxOuvv05dXR1JSUkDInjt7e2o40toqKygZPGSIffV2dnJSy+9RENDA7FYDIPBgNvtxuVyDXAEgDRkMzIyyM/PJysrC0VR8Hq9xGIxVFUdEEXUNI14PE5bWxtNTU1UVlZSVVXVN+nXNI0JEyZgtVppamrizTff5Pjx48yZM4d33nmHzs5O8vLyuO6660hLS+ub5JpMJiwWy6DIXV5e3hl91meCwWBg6dKlg5bH43HKysp4/fXX+b//+z8eeOCBRFTrQ8RLP/k+rdWVOFLTyCmazK2P/cOI6yuKwuc//3nsdvs5Och6f48XysmWkpJy1kKNubm55OTksHHjRkKhEKtXr+4zFJcuXUprays7d+7sW3/NmjUUFxcPua/q6mpefPFF8vPzuf/++wmHwwSDQZKTky9I6v1YyMrKoqCggJ07dzJt2jQURSEYDNLd3Y3JZOrLSlBVlUAgwI4dOzh27BihUAifz9fnoDmdoqIi1qxZg6IovPvuu2zcuHHYMSRZJhMJOIjpNg4RJPzOO30t8MrKyigvL+eWW27BYDDQ0NDA7373O0wmE8uXL2fTpk28++67o7bMO51ep02vM2Go635ycjIzZ85MOAYSJEiQ4CwYk/EuhNijKMo9wKuKojQCLyGNcAVYKYRoG3EH/fwdMAEoEUKcAFAU5QBQjuwb/x8jbPsTIUTrqQsURdkCVPbs95/GOIYPBG211RzYsI6mk8cx2+UEwNPYQGdzI0LXUTVtgEE7Gu/9/kmKFy3BmZ6BoqooiioNu56H/Fuj9vABTu7eAUhDdMo1y3CmZ2C22Zk4fyFJqaOIwxmtUmW+F1sqPPRW/2vNCNf/ANZ9E/5nIVz9RVkXf+wNDkdX40gzE+r28u4zT6BqGinZucxdfTtTliwnOTMLIcBktfYZbClZOWM6/3A4TFlZGdmxGJkZ6SgCmtva8Hg8aJqGxWJhSVYWxkiIg1s3U3mkDL2jE9VkJtTaQfjQYVBVhKIiTCbiVgdCM5A8dwnFU6aSk5WJWY9Rvnc3VSeOY7LZSZ93NVmTp3Gw/CS+faX4fD7CYZnEoqoqFosFq9WK1WrFaDTS1tZGc3MzPp+PQCDQlwqq9n4/PefcOzkyGo3U1dUNSBk1m83cfffdzJgxY8D5Hz58mLXP/Yn3j1dQ89RTZGRkkJGRgdvt7ksXf+2114jH48yfPx+z2Uw4HKalpYXOzs6+iZmqqgghOHLkCHv37pVfudHYZ9yPBafTSVFRETk5OWRkZJCbm9tXTyuEYN++fbzxxhtUVlbidru5//77R43KXWp6FajdbjfPPPNMnwHvdl/ZYooJxsaiOz9Ge10tnc2NmKzWMW3TG6E+Fy73Eo0FCxbw8ssv43A4mDNnTt9yRVG46667uP7669F1nd///ve88cYbFBYWDjLGW1tb+eMf/0hycjJ/8zd/g9FoxGg0DptRczFZuHAhzz33HP/5n/855Pu91+ru7m4ikQgFBQVkZmZis9nIzs4mJycHVVX7SoGOHTvG+++/z/Hjx0lKSmLTpk0UFRUxefJknE4nTqcTu91OKBTil7/8JaghAj4psNuux2javJmZM2dis9l49dVXCYVCWK1Wli1bxtq1a7FYLDz00EO4XC48Hg+bN2/GbDZTUFBAdnb2qP9PbW1t/OY3v+m7j/Weo9FoJB6PD3DwbtmyhRUrVvS1nUxKSsLpdBIOh/F6vdjt9r7yo94yKJD3E7NZnlN1dTXbt2/H7Xb33TNOzUpIkCBBgg8iyhBl7MOvrCj3Af8H1AERYLkQoukMtn8bsAghrjlt+bsAQoixFegO3LYZeE0I8dBo686bN0/s3r17tNUuW6LhECd2bad0/V+pP1qGqhnIKZlMLBwmHo2SnJ1DWt448qZMJ7dkKkLX6Wpp6qv3jkejxGMxNKOR5MxsHCmpKKpCV0sz+9a9ypHNm4iEggh9eGEbi93B3JtvJ3/aTA5uWMexHVuJR3oMTk2jZPFSlt73ydGN+NFoOgSvfAEa9wPQLZL536MzuObjn2DhnR/D52nH5kxGO4MbtRCCpqYmjh49SkNDAy0tLVgsFhwOBzU1NQNSLXsxGAzE43HG8jtRFAVNVTAbjeTn5ZGakUlNTQ319fWjbm+z2XA4HH2TEl3XCQaDhEIhgsEgQgiSkpLIzMzE5XJhs9nQNA1d1/vEqnonRdFolM7OToLBIIWFhRQVFRGNRunq6mLixInDpmz/4cffp8EbwFU4iZaWlkGfR1pqKsUuO4WTJ1O8cOQ00N6095qaGmprazEYDKSkpGA2m/smcb0Tud4U/LS0NNLT00lJSRm1zrW1tZW6urpLHr1pra7k6JZ36WptIeTrZurSFUy9duRIVXNzM6+++iof/ehHcbkuLw2GBAlOp62mipN7dg5YZnW6mLZs5Rldf4ciGo3y29/+lgULFnDVVcP3fK6srOSpp55i2bJlrFjR39DG6/XyxBNPEIvF+PSnP33ZtWvsdWSGQiF0XcdqteJwOIhEInR2duLxePB4PJjNZhYvXkxm5siK3vF4nF/96lfE43EsFgvd3d184QtfwHqaQ0jXdX7wgx+Q5MtiWmoGJ2pctGVtBmDq1KkkJSWxc+dOiouLOXbsGFlZWTQ3N/OpT32KceNky69QKMTvfvc7mprkFG/SpEmsWbNmRAN+7dq1HD9+nDvvvJPk5OS+e9Wp13MhBMePH2fdunVDljqditVqRdM0fL7+JkeqqjJhwgQcDgf79+/HarUSCoX6MtEyMjJYunQp06ZNG3HfCRKMhqIoe4QQ84Z7v7S0tGrWrFljDV4mSHBGlJaWumfNmlUw1HvDGu+KogwXynoM+DhwN1Dfu1AIUTHaQBRFaQJeEUL8/WnL/wf4qBBihN4NQ+5vCnAY+JoQ4t9HW38o493b1kr9kUN0tjQRPE30x2AyUbJ4KZkTJgGg63G8ra14GuqwuZLJKJiAoqoIXScSCgIKiqqgoICq9EWv1RGMC09jPQ3Hjw4w7uL/n73zDpOqPPv/55TpfbYXlqV3UBBBFEFFxZJoBBNjS2LeGJP8NM2oidFoojExb0zUxKiJLfomwQIaUYPEgmJDRCmC1N1l2TbbptdzzvP7Y2aHXVhgaSLJfK5rr5059ZkzM2eeu33vTJqOxjAWLkoAACAASURBVO10NjaQisfJpFMkwqGsCBngLatg4py5jJs9Z48CbEIIkskk8Xh8t1pEk8mE2+1GlmXa2toIBoO43W6KioryP7TCMEgmk6RSKYQwUCQpa8gKQeOOJhoaGqivrycQCGC327FZLcTCYZKJBHYZ5l74JVKpNOvXryeYS8+vrKxk3rx5SJJEIBDghRdeYN68ebjdbgzDYOnSpYwfP56qqqqeF5HtxdndwKp3PuK1Z57ja7+7H3/l/qc9r1+/ntdee4329nYkSaK4uJiysjLS6TThcJjy8nKOO+44nE4nO3bsQNd1ampq8Hq9SJKUTz9va2vD7XbnFct71yLuyYhMpVI0NDTQ0tKC2+2mpKQkH0m2Wq04HI69GqBCCDRNO+zpn2/87VE+WLyIE790GZWjxhJLJujq7EbLpEnH42z+94vEOgMoJhMX3/ZbSms/29Hug0VLp9n+8WqaN35CoH4rqVgMV3EJNpebdCJOV/MOWrdsQlZU3MUlIGU7B4ybPYdxJ59KMNBKOpf67y2vYOjk4/OTWCHEp9rnu0CBA6Huow94/q47dut2AXDSRZcz7Qtf/NTG8vTTT7N+/fo+5SY9v29f/epXqawcWJbVoSTcHkDLpAEwWaw5h/jhzXbYunUrjz/+OADz589n/Pjx/W73q1/9CnOXjVrTIHZ0OugqfweTBBmRdTRPnjyZs846i4cffpjm5mbmzJnDSSf1LZkSQhAOh1m9ejWvvvrqbs6T3jQ3N/Pggw9y8sknDyjVXtM0Ghsb8/OSSCRCOBzOO9Sj0ShtbW0YhoHX68WWy6jr7u7m448/JhQKMW3aNE477TR0XWfbtm00NzezefNmOjo6uPTSSz/zGVkFPtsUjPcCR5K9Ge97c5tvIVuT3h8S8PouywYS/vID/blau4D9cplLkqQC9wPtQP9yt7sQag/wxO0/o6x2CMeccjofvvk6H7zzDrqsgDCyfZ5z2+qqCR2Zt5Yvp9LtxNA1uro6EYkEkpFN/7V7vDh8frqbm9DSe9DskyQGTziGiaedicXhJBRoJZPzEjd+vIZtq97vdzeT1UZxzWCcfj+q2YLN5cbp81MxYjQ14yfucYIQjUZ59913Wbly5V4VtveExWLB6/USj8f7tMzaFVVVqampYcaMGSQSCaLRKKVl5cSDXTRsb+SZZxYC2drnyspKYrEY69atY+rUqQwePJg33niDhoYGVqxYwZw5c9iyZQvvvPMOgUCAyy67LH/tcJaCs5RNf3mK4pra/TLcM5kMgUCA5cuXs2HDBsrKyjjnnHMYO3ZsPlWvP/qLTNvtdkaPHs3o0fvfVMFisTBy5Mg91mvuC0mSPpW6zVHTT6Luw5W8+bdH+11fVF3D6dfdzNI//4HFd9/JZXf8HtViQetJ9VeVo7bNXPv2elo2f0J7Qx3xUIhkNEzL5k1kUkkkWaaougab00Xr1k0koxEsdgd2j5fZl/8PY2edhs3pwtB13nnm77y7cAEfv/7v3c4xYtoMTv/G/8PmchcM9wKfSeLhEBvefI1IVydaKsXaV5dQNGgwX7juZuy9skReuOc3vPPM3xk5/cQBCWXuD6l4HMPQdxMFnTt3Lmazuc/vWk+7u0NluOtaVt8k2t1J9Zj+jeLeLP79r2nZsjH/XDGZcHj9KKqC1eXm/B/ddFAdThLRSDbt3GKlc8d2Gjeso6OhHh8assmMQ0vR3dLEmleWEKjbQuXIMVSNGY/JYsWsqhhyknhcBiVbP68GmjDXjiSTyXDKKaegqipf/vKX2bp1KxMnTtzt/JIk4fF4mDlzJl1dXSxbtozS0lLGjBmzWwT+lVdewWazMWPGjAG9NlVVGTJkyAFdl9NPP510Oo0swZqlL1E1eixjx45l3LhxzJw5k4cffpgFCxbk2/Q5nU4GDx58VNx3hRD5jD1ZllFVFVVVs/NTScIwjPz8TJblfFldT9bBoEH7p59ToECBo4+9Rd6/sj8HEkI8ts+TSVIa+K0Q4se7LL8duF4IMeAcPEmS7ge+DpwjhHh5L9tdSValnoqKiilXXnll3/WIbHRVltH1nSm8Xq8Xw9BpampGEgKRu+lLQEmRH7vJRLy7E13LYLI5MFutOK1WrGaVeDJNSsvgsliwSYKGle8Q69zpnBNICLMZk8fPoGOmUDxkGIqi9hqzjMXhQJKkfN2X2+3GbrfnPeGBQICmpiba29sJh8P5mrlspFwwZswYampqsNvteRXinr90Ok0oFELTNMrKyvD7/YTDYbq6uujq6iIYDGK32/H7/fn2QZqmkUwmMZlMDB48eK+1ZS8/cC8fvvsWx5x6BkNGjsLu8qDpGn9//kXKS4o56fip/P255wEwm8384Ac/4G9/+xv19fUAfPe73+2T/hjt6uSBb3+VGRdezAnzvrzPz0ZnZydLlixh8+bNeRX52bNnM2PGjIJAzgCIBbtp3boJSZJRTCZUkxnVbKa4phZFVdm+bjVP3fZTHB4vqXi8j+PK6fPjr6rm+PO+yOCJxxzBVzEw4qEgrz7yABvfyaaUmm02nL4iLA4HpbVDGXbcdKrHjsdktgz4mIH6bSTCYTxl5Vhzdbdr/v0v3lrwBHaPhy9c/7P/+KyFAkcHsWA3r//1L9nMMSFoWPsReiaDyZK97w8aN4Gzr/4Rll1anUW7u3j0B9+itHYoc7/z/T7rrE4XZuvA6vp3RQjB32+6FllRuOjWOw/sRR3geV995H5WL30prxnz3ccX7jVrDqB+9SoSuYy4dDxGsK2VWLAbQ9PY9O5bTDn3fGZdesUBjanpk/UsuPUGhGEgSTJCZMuirC43/spquluaSIRDQLbjSHF1DR2N2/PbxWrHYJEc+MLTiMtpgsUfYmvczMx5FzFowjH7beSl02keeugh2trasNls+f726XSazs5OEokEZ5xxxoCN94NFGAaLf/9rNr33FgDFNbVM/fw8xpw4i1A4zF/+8pc+6faDBg3i5JNPpra2Nu8MT6VSecP3cNHR0cHq1avzZW2QLWuIRCKEQiEkScJisWCxWDCbzTQ1NdHW1rbP4/aUze06h584cSKnnnpqXqzVbDYfEadFJpOhsbExn/nZUwK4q/aN2WympKQEj8dDIpEgFosRj8fz2wohsFgs2O12TCYTkiTlMxhlWc6XGAL5Oa4sy/nXHQgEWLVqFT6fj6lTp+7Xe12IvBc4khxQ2vzhIFef/uzBps1LknQHcD3wFSHE4wM9/5gxY8SiRYsIBgJsW7ea4rIyZp17Xr7OuD927NjBRx99hN1up7i4mPb2durq6giFQvmaYLPZTCaTyd9AgPxNpeex3WrNLhOCWC+xsf2hRwysZ19JkvD7/Xg8HlwuV17gbPz48UdUCCuTSvLUbT+lZdMnfZanSqpIF5WjRrrRXD7sbY3Ey2uwRLpJuXxYQp2k3H5KFEGNe2dkPNrZQfOmDVx25x+Ii6zHXpZlwuEwwWCQZDJJJpMhnU6TSCTYsGEDiqIwdepUqqqqqK6uxu12f9qX4T+ada//m60r38NTWobdky0t0NJpQoE2GtevJdzexqgTZjL78v/B6S86YuMUQvDKw/ez5f13MDQNQ9cxdB1JlrA6XSSjUfRMmuPP/yJjZs7GW1p+2NJe27Zt4dn/vY10PM551/6UmvG7R7oKFPi00DIZnrz1Btob6vFVVqFnMgwaN5Fjzjh7QO0i17zyL5Y++Id+19k9XmyuvvdcxWTCW16Ju7gEQ9PQNY0xM0+hatSY/DZbP1jBs3f+HJPFytWPPfWpGR3vLXqS5f/4K2NnnsKgcRPxlJVTNWrsPo33vfHiH37L5hVv8417H8Lu2b/WkIau88QN3yUZi3HsWZ8jGY3gq6hi0NgJeEqzdfFaJsPm994i1t3F6BNn4fQXkYxFCdRtxdB1Xn7rHbqbu3F2zCBt7iLkX0dRVzODBg3i/B/dNKBx7Frek0wm2bRpE9u2bcuXoJlMJvx+P+Xl5UyePPlTc5C/8bdHef+5pznxS5dhc7lZvfRF2hvqKK0dxhnfvBpXeSUdHR1YrVbq6+t5880389Fqv99PNBrNZ3FYrVYqKysZMWIEfr8fSZKIRqMEAgFSqRR+vx+3240QIj/XSyaTmM3mvKhs778e/ZqNGzeycOFC0ul0n+siSRJOpxOPx4MkSaRSqfyfy+XiuOOOY8yY7PdC07R8i8geHA4HNpsNIQSpVCq/ftWqVSxfvryPo0BVVTweD+ecc84+ywgSiQThcBjDMJBlOd9etYdkNMpL999Na1sbGVlFkxV0ScZkNlEzqIbaEaMIxWK0dXZSv6PpgLI/B4rdbsfj8dDR0dGvXpHFYsHpdNLZ2YlENo24traWGTNmEAqFiMfjeQdIKBQiGo1it9txuVz5MsgZM2YUjPcCR4zDYrxLkjQWGAO8I4RoHuA+rwJmIcRJuyx/PTeWfQrWSZJ0I9n2ctcIIe7dnzEfTsE6IQSxWIxIJILX68VisdDe3k5TU1M+mg3ZG6nL5aKoqAiv14vD4dijZ9QwDGKxWJ+WKz3qtEVFRZSXl+/V8XCkSUajhAKtJGNZ73c8keCpl17GEIIKv5dRPhcrG1uJpjMoksT0mnLWNrURy2hUhQP0viKlQ4YhjxjPe++91++5ehRtzWYzQ4YMYc6cOYdErbnA/qOl07z/z2d479knUVSVGRdewtDJU7MrpZwmhCSR/chn32XVbM47AQ4lG95axov3/Iahk6fiKipBVhVkRc1qOkQjIATHn38hRdU1h/S8eyLc0c7CO35GsLWZ+TfdTvXogqhSgU8Pw9CJBbtBwFsLHufjZa/wuR/8eJ8ClP0hhKDuw5XEQr0q4UQ2myXY1koqHu2zfSaVItjaTKSjHcVkRhgGmVSSUSfM5ORLr8BVVMwTP/4egbqtAFx536O4ig6fE3r7utUEW1uIdnfxztN/Y/SJszj76msP2T2oq7mJR3/wLSafcx6zL9uppxsLdmPoer/18Zl0CpPZwgcvPMfrf/0zn//hTxhx/IFFsp9++mk2r9mAO3AiSWuAiPcTplaXsvm1l7nqwSewOvpX42/btoUX//BbIh3taJk0E+ecxalfuxJZPjRGuRCCUKAtnyGwj41JRMIE21pJRrKaRNHuLhrWfkSgbiuTTj+L077+7bxOzydvLeONvz2Knslw8e134S0rzx8qk8mwbds2tm/fTkdHB263G4/HQyaTIRqN0tDQQEdHXzusR9m+dwS/B1VV99jOD7LGZTwep6Kigi996Ut7FIo91HR0dLB582YgK3AYj8fZuHEjwWCQL37xi4waNSq/rRCCxsZG3n//fbZt20Ys1rdbs6IolJeX4/V6MasK61d9QEpWoVcmqiqBbhgYUq/Psq5jioUospqwms0IIdATcTLRCKlIGK2XsS0UBcNiQ6gm0HUUYeBwOnA6XWQSCVLxKBVjxjNuzlnYvX6EEHR0dFBXV0csFqO4uDgvctsT3NJ1nXA4TCgYJBVooWPFG+ieYjJVQ/p9z3oEg+PxeJ/3+tZbby0Y7wWOGAdtvEuS9AdAFUJclXt+AbCAbJ17GDhdCNF/8Xbf43wP+F9gZI/AnSRJtWRbxd0ghPjtPva/BrgbuFEI8ct9DnwXjna1+f8EFi5cyJo1a7jiiiuoqalhzZo1LFy4kBkzZnDGGWewYcMGFixYwEUXXdSnvrytrY3777+f8ePHM2HCBHRdx+124/V6sVqthXT4zyDB1hZeffQB6j4c2HfO6nJTWjuU4VOnM+qEmZhtdpLRCOH2QLZrQi6zxVtWQc2ESfucZMdDQR754bfxlVVw0S/uPGSTz4MlEY3w3sIFnHTR5ag54cICBQ4ELZ0m1N5GpKMdw+iVjiqyRk72e5MVTQy3B2j6ZD2p+M4J+gnzL2bGhRd/2sMGIJNMsuKfz7Dy+YXIisyoE2ay9tWXGTfrND5e9grzb7ztsJXedLc08cgPvpXvrFI9ZjzzfvLzQ/59fOmPd7Hp3bc4Yf6XcXh9bF7xNts+eD8rAmsyUTtpCqddcRWqxcK//ngX21a9T1F1DeGOdqpHj+ULN9xywM6EF198kVXvvY+vbSYJexNR91Yun/cFFt12I3O//X3GzjwFXdeztdQ5J8L2dWt49je/wOZyMeL4E4iHw2x48zVGnziLud/+/kF3F0gn4vzzrjtoWPPhAR9DVhQqRoxm2JTjmXLO+btlR3Q1N/H3n/4Qu9fHxbf9L2abnXgoSKBuK8FAK0LX0TIZ4qFuYrmgiqKaGDVjJv4hw4nFYui6jt1ux+fzIcsyqVSKSCSrP6CqKjabLd+JpicdvPdfJBKhu7s734bv09Cs2RvxeJwnnniC1tZWysrKsFqt+ZZ80WgUVZZRo0FMWhpF15EkEJJMxmRGUy3oSjbCLqdTjJt0DOOnHEdZWVm+lZ9hGNRt3sSObVvxuF3YFIXAts201W3FyBnLZrsDq9OJzeXG6nRhc7mwOd2YrFaQJPRMmmhXJ5HOTqJdHUS7u7DY7ChmM5tXvI2ezlAyeAgOnw9ZUUhEImip1M5WxrnPQSoWJRWL4ioqQTGZ2LFhHZNOP5uGNR+SSKeZ/c3vMmjoMJxOZ75Mtuf9CbcHaNywjpLaYbhLy7DZbAXjvcAR41AY71uBW4UQf809X0tW0O5m4LdAWghx7gCO4wBWAwngp2QzWX4BuICJQohobrvBwFbg50KIn+eWXQT8DVgC3LrLocNCiPX7On/BeD/yRCIRtm3bxsSJE5EkCV3XWblyJRMnTsRms6HrOnfffTfJZJKZM2cyffp0VFXlscceo62tjauvvhr7LvWXBT67CCHYsWEd0c6OrPpl7n4jev8XgnQyQcf2epo3fULnju37PG758JGMmzWHWLCbaFcn/WlrtjfU07G9jst+fc+nFlkvUOBQce9XL8w7rA4UWVEw27MlSDaXm+ox4ygbMgxJVrC53QyfMu2wq6Pvi1CglZcfuJft61bjq6hk/k9v58/f+Rqnfu2bHDv3c4flnC/c8xu2rHyXS3/5Oyx2Bw6v77Bch2BbK0/f/lNCbdl2aza3h4mnnYmrqJjOpkbWvvIyiqpittmJBbuZOGcuwbYWwoE2vnD9z/CWVxzwuV977TWWLVtGcetM4o7txF0N3HTTTTz83SuJdnVkU6tz92FZUZBVFT2dwV9Vzbwbf55v97riuad582+PMnjisZx99bV7FeATQhBsa8FdXJIXL412dRLuaMfQNV577M+0N9Qx48JLcJeUDuh1WB1OPGXl2cwsJFSzeZ9Olu3r1vDML2/q8xp3RbVYcHi8SJJMMh4jGQkz4vgZjJoxE5DwV1VTUlM7oDEeDSSTSV599VW6u7tJJpNYLBZcLhdqMs6GRX+ndsIkPCVlCGGQ/Vk2IP9fIMkKx849N9996dMkHgqy6qV/0t5QR7S7C6HrWF1uTBYLoqddbs55aXE4MdvsRDoCBNvamHDK6Uy74Et0Ne/g7zddSyoWw2J3YHO5s597JZuNl0kl6W7JN9Ciesx4Lrr11wXjvcAR40DV5ntTDtQDSJJUDYwDvi6EWCtJ0j0MUO1dCBGTJOlU4HfA42Szbl4BvtdjuOeQyEb1e/+azs0tn5v7680yYPYAX0uBI4jL5WLSpEn554qiMG3atD7Pv/rVr7JkyRJeeeUVli1bht/vJxAIcO655xYM96MMSZIYNHbCfu3Tvr2ere+/C1K2Lt1VVIy3rByLwwlCsO3D93l34QJeeeg+kKTsBKyfzAtJkjj1a1cVDPcCRyXHn3churZ7LWdvZEXFU1KKq6R0t6io3e3FVVR8UHXbnwae0nLm//Q2Nq94G29ZBa6iYsw2O13NOw7L+Tq21/PJ229w/OfnHfZ7g7esnP+55y+k4jEiHe14K6pQe0Vhj537OZY+cC/hjgAX/fzXVAwftZej7R89vd+FpCHkDJZcHe+cr3+Luo8+wOJwoJrM6JqGoWtomQyqycyUc8/vo/R//HnzsbndvPLQn3j8+msYe/Kp7Fi/jq6mRiBrBFePGU9RdQ2b3nmT9u312D1exsw8he7mHdR9+EE+RV61WPjCdTcz5Ng92kOHhJrxE5n3k5+zfd0aZEXG6nBSUjsUX0UVismEoqqYLNZ8VoOWyfDB4kW8u3ABm1e8nT9O9djxjJo+Ezmns2O22bA4nPgqKnH5iw+b4yvcHqCrqZHiwUNw+vz73mEfCMOgu7EBfyKMTYujizQejw9/ZTkv3PO/VI0YxReu/9lBZ1YcLuweLydddPlBHaOoahAX3XonW1e+R7S7i2Q0kjX6dR1d15BlmYlz5lI9ehwN61bz8etLD9HoCxQ49Aw08t4BXC6EeFGSpEuAPwJ+IYQhSdJs4EUhxGfeqipE3o8u6urq2LRpEy0tLdhsNi688MLDqgpb4OhB1zJEOjtxFRUdte3pChQo0D//d+MPMFttXHjT7QPaPtLVQbBlQNI7vP/PZ2jauIH/+cNDu7WjO1LsKgx3KFi9ejWLFi3C1z6VuLMeW0Wa733v+/vecQ+01W1l8e9+RTDQSvnQ4ZQNHZFLXw6zfd1q4qEgpbXDGHPSLJo2rmfryhXYPR7Gn3JGVpRQkiiqGjTgiPuRIBGNEOvuQghB/epVfPiv54l0tPe7rdlm57QrrmLsyfvuad8bXcvw8euv5LWAeiOEoOmTj6n76IN8xoDF4UA1W1BUE57SMnwVlfgqqvCUlNG8+RM2vvMm0c7OnenjsoycK4XoWaal09lyGUnCbLUiq6a8hoDV5ebyX99zWPUljkaEEMiyXIi8FzhiHIrI+yrgO5IkbQe+AywVO9VGhgAtBz3KAgV2YciQIQfcB7bAfzaKauojRlSgQIH/HPyV1Wxft3pA2wrDYMEtN+RT0wfCjC9e8pkx3IHDoqqfj7zLGZBT2O39C9QNlLIhw/ja7+4nk0rt1jpQCEE8FMyLjh73uQtIxWM5o/OzGc3tD5vTlf9clNTUMuWc84h1ZwUZDV0nnUyQCIfpbmliw/LXeOmPd5FOJikeVMOGN18nFY/lr0E8HMJstTHh1DMoHz4SyAqWLv7dr2jZsnGPY3D4/Ey/4EtUjxlPZ2MDXS3N2cyIdJpgWwub3ns7b3jLikLtpMmMnXlKLnU8mz7e89jQ9WyrQVmmevQ4ao89Lv/6ot1dNH3yMf7K6oLh3g9Hor1egQIDZaB31RuBf5GtVw8CV/Vadz6w4hCPq0CBAgUKFCjwX4i/spr1b7xKOhHHbNt7Ul/TxvWE2lo58YuXUjV67D6PLSkKlSNG73O7o50e493Ipc33PD8YZEXZzXCHrKHj8Pr6LLPYHbttd7Qhy0q/hm3N+ImMm3Uaz//ujmz5FmCy2nD6fDkRPIHd7SUWCrLmlX/hq6jCbLMRbGvB0A3O/d4NDJ0ytd9zqqopn44/eEL/go2JSJhQWyuesvLdWjIOFKfPz6gTZh7QvgUK9LB48WLX5z73uZGLFi3adP7550cO57kef/xx79atWy233HJL2+E8z9HAgIx3IcT7kiTVAKOBzUKIcK/VD5JViy9QoECBAgUKFDgo/FXVQFY5vHzYiL1uu+HN1zFZrEw55/yscnUBoG/kXcjaITHeC+xENZv5/A9/wornnsZdXMrIaSfu9vlLxeOsf/NV6levAiHwllVwwoUXU1Q16KDObXO5D9hoL1DgaOXZZ5/1Ll++3F0w3gceeUcIEQM+6Gf5C4d0RAUKFChQoECB/1r8lVnjpqt5x16Ndy2TYeO7bzL8+BMKhvsu5CPvsoYu6QXj/TCgqCZOmPflPa632O0ce+a5HHvmPpsxFShQYA8kEgnJZrPtW6Dtv4iC+leBAgUKFChQ4DODt7wcSZbpatq74nzdh++TisUYe9LsT2dgRxHWnDNDyBkMySh0ailQoMABsWbNGsvpp58+zO/3T7JYLJMrKiomnHXWWUMzmZ3dUGKxmHz55ZfX+Hy+ST6fb9J55503pKOjo0+rk66uLvnyyy+vKS0tnWg2myfX1taOv/XWW0sNw8hvs3jxYpckSVMee+wx70UXXTTY5/NNKi0tnTRv3rzahQsXFgUCAZMkSVMkSZpSVVU1QdM0XC7XMdddd12+r+aKFStskiRNmTJlSp/2HWVlZROvuuqq6p7n3//+9yvHjh07xuVyHePz+SZNnz595CuvvJKv92loaDCpqjrl9ttv301l88YbbyxXVXVyc3NzPgj+2GOPeSdNmjTaZrMd63K5jjnrrLOGbt68ee99LQ+Qo0dJpECBAgUKDBjD0AB9wNtLkrkg0lPgM0FWkLKCrubGftcLwyDa3cXaV5Zg93ip2UNt8H8ziqJgVlV0JQkShch7gQIFDojPf/7zI1wul37XXXc1lJSUaI2NjeaXXnrJo+t6fsJw3XXX1cyZMyf40EMP1W3YsMH6i1/8ovrKK68UCxcurAfQdZ3TTz99xPr16+3XXXdd86RJkxLPP/+855ZbbhnU3t5u+sMf/tDU+5w/+tGPak455ZTQn//857pEIiFPnjw50dnZqa5Zs8bx1FNPbQGwWq2GqqpMnTo1+sYbb7jIiacvWbLEZbVajTVr1jjC4bDsdruN1atXWwKBgOnUU0/Nl303NzebvvOd77TV1NRkotGo/H//939Fc+fOHbV8+fIN06ZNSwwePDhzwgknhP/xj38U3XjjjYHe43vqqaf8J598criyslIDuPPOO0uuv/76mvnz53f+5Cc/aQmHw/Idd9xROXv27FHr1q372OfzGRxCCsZ7gQIFCvwHsnXbb9i+/S8D3t5k8uF2H4PLNRabrQaLuQxJkkGSkZAAGSQp+1iSkJABCUmScThGoCgF46DAocNfVU3Llk18+K/nQZIIBdoItrYQbG0m1NaKlkkDMOWc8z/zveyPFFaLhXg8ARSM9wIFjiTrN1w/KBbddETTXxzOkfGxY37dv0d0D7S0tKgNDQ2WJ554Yssll1wS6ll+1VVXdfXeENZA/QAAIABJREFUbtq0aZHHHnus59jhjRs3WhcsWFBsGEa9LMs8+eSTnlWrVjnvvvvu+muuuaYT4IILLgjH43H5wQcfLLvxxhvbKioqtJ7jTZo0KbZgwYKG3ucoKirSTCaTOO2002K9l8+aNSt8xx13VPek1y9btsx1wQUXdC5atKho6dKlznnz5oWXLFniVhRFnHnmmfkejb2Pr2ka8+fPD40YMWL8/fffXzxt2rRGgIsvvrjz29/+9pDVq1dbJk2alAJ4++23bZs3b7Zdd911LQChUEj+xS9+UTV//vzOp556qr7nmCeffHJs/Pjx4++9997im2++uY/xf7AUjPcCBQoU+A+kyD8Lk+od4NaCeGI7odCHdHYuA/bPSWy3D+W4KU9iMvn2vXGBAgOgZtxEtq58j1cfeQAA1WTGU1aOt7yS2kmT8ZZX4i2voHr0uCM80s8uNpudSKQ797hgvBcoUGD/KCsr06qrq1M333xzdWtrq+mMM86ITJgwIbXrdmeffXao9/MJEybEH3/8cWnHjh1qTU2NtmzZMpcsy3zjG9/oY/RfdtllXU8++WTxa6+95rj44ovzxzjvvPOCAx3j6aefHrnlllukf//7386zzz47smLFCtcf//jH+oaGBsu///1v17x588Kvv/66a8KECXGPx5Of3Dz77LOuO+64o2Ljxo32UCiU9wBv2bIlL6By6aWXBq+99lrjoYceKrrnnnuaAR555JEip9OpX3zxxUGAV1991RmNRpVLL720s3cpwdChQ9NDhgxJLl++3AV8+sa7JEnVQog9Fp9JkjRLCLHs0A2rQIECBQocDH7/DPz+Gfu9n2GkSSabSac7EMIABAIDhMg9FrnHBgJBOtXBxk03sXrNNzn2mMdRFEuf4yUSTQSDKzBEesBjqKyYjyQd+mjqO+/OIZHo/VO2qwZO3+dC7H397s93p6TkDEaOuBmrtWKf2x5uEolGOrveBGGgKA5KS8/e7f3qTSi8mqYdTxCOrAVAlsxYbdU4HCMYXPM/qOrh65U++ezzmDjnLNLJBMIwsLs9+RZaBQaGze5AyO0AhZr3AgWOIPsb8f6sIMsyS5Ys2XTjjTdW3nbbbVXXXnutWlVVlb766qtbr7/++vae7YqLi7Xe+1ksFgGQSCRkgO7ubsXtdmu7Cs9VVVVlADo7O9X+lg+E6dOnJ7xer/bKK6+4vF6vHovFlLlz50Y2bNhgff75532GYTS9++67rksuuaSjZ5/ly5fbL7zwwhEzZ84M33vvvfVVVVUZVVXFlVdeWZtKpfI/NC6Xy5g7d273M888U/T73/++2TAMnnvuOf8555zTbbfbBUBra6sKcP7554/sb3wej2fg9YsDZKCR9yWSJJ0ohNjNEyJJ0snAYuDw/YoXKFDgkJFKBUilWgGwWMqxWHbT4vivIpMJk0q1IEkKsmxF00KkUgFMZj9OxygUZaeKtWFoxGKbaW55ks7OZRhGCpBwuyfi95+E33cidvvgI/diDgGybMZur8Vurx3wPopiY93H17Di/c9hNvnzy9OZbuLxLfs9horyLxwW472y4otktHCfZbtX+e+yZDcdAGmXZ3ter2lhmpr/wbtdcykrOweLpRy7rZby8s/v79APikwmRH39H2nc8TiilxOlru4ehg37IYaRIhReTSy2hUSiAV2PI4SBrkdRFAc+3wnIkgndSBCLbaW9fSmBwEtMmvgAdvuQwzZu1WxGNR8WvZ8+xGJb2LLl10Rjm3A6RmKz1SDQEYaGITSE0HbbR1FsqKoHRbbsstyBx3MMLtd4ZPnwj31vOJw7e60XIu8FChQ4EMaOHZtetGhRvWEYvPvuu7a777679IYbbqgZMmRIqseA3Rc+n08Ph8NqMpmUrFZrfp+mpiYT7G78S5I0YHV5WZY5/vjjo2+++abL5XLpo0ePjpeUlOinn356+M4776xaunSps7u7Wz3ttNPyP/4LFizwqaoqXnrppa09jgaAcDisuN3uPsb25Zdf3rlw4cKil19+2RmPx+X29nbTV77ylc6e9SUlJRrAPffcUz9p0qTEruM7ksZ7FHhBkqTThBDJnoWSJJ0EvAD881APrECBTxNdjxOOfIwQGjbrIEAQjW0ik+7CbC7GZPYj5yZpiXgD8UQ9uhbFMFIYIo1hpLOPjTSZTJBEohEhMjmDbgaqyYMsW1BkS/Y4ezBM0ql2IpGPSaXbsFmrsVgrAAmEjhBGLgKaeyz03POdj4XQs8aXbTBW6yAkScpNPnW0TJjm5n/QFliMEDvvJS7nOEpL51Jd/RVU1dHvuD7raFqMZHIHkch6otENOeNDz12XnuuloWkRUqlW0uls5pZhpND16B6PK0kKqurOvbep/HWTJDNFRSdjMvkQRppg8H3a25cAYLUOwmar7nMck8mH338SRUWzsFrKD9NVOHKUlZ2DbiRobVnUZ7nNVk1l5YUU+WeiqgPvSyxJpkM9RAAGD77ysBx3bwwa9BU2bb6d9valZDJdOJ1jB2S8t7W90Od72h+GkSKR3EEq2bzbtnb7UIqKTiYY+oC6unvRtDAVFfOoHXwVquoiEtnAps23se7j7wKgKE6cjhH4fCfk3yuHfRjl5Z/fLcLe3f0ua9ddzYr3z9/NyWM2+bHZh2A2FyEhoWlREontpNJtGEYGkTOGJUll+PAbKPKfhBCCxh2Pkkq24PVNw+uZisl0+PpYp9Od1NXdSzLVjGGk6e5+B0Wx4fedRCy+he7gCiRJQZJUZNmUcyT1dtIIdD2BpoX2+B6pqotx435PcdHsAxqjYaR7Zb9IWK3l/Tq0dD1FLLaJZLIZSZKRJBVJNqEqduyOnY7HXY33dLqLRLIRj3tS9hUJQTj8IcHQB8Tj9VRXXYrLNeaAxr7zNaQIhdegKnaczrFIkpS7FxvIcqFqs0CBowlZlpkxY0Zi9OjRjU8++WTx2rVrbdOmTYsPZN/Zs2dHHnjggbJHHnnE961vfSufOv/EE0/4TSaTmD17dmxv+0M2mt87Kt6bWbNmhX/2s58NkmWZk046KQIwc+bMuM1m02+99dZKk8kk5syZk5/sxeNxWZZlZFnOG+7//Oc/XS0tLebq6uo+aYLnnntupKysLPPYY48VJRIJubKyMt27dv7UU0+NOhwOY8uWLZarr766k0+Bgd49zwGWA09JknSeEMKQJGkG8CJZ4/3SwzXAAgeOEAaaFs4aHflUV5FLBe15bCDLJiyWsgFFugwjRSi0mu7gewS73yUa24jJ5MdiKUVRHMiyOfsnmZEVS/a/bEGWzbhc4yguPhUATYvQ0fEqpaVnI8smhDDY3vgQPu903O4Jh/xaGIZGd/BdOjteIxhaiWGk869fCI1kcsc+J8q7kp3c7Xx92T8LqurG4zkGIXTa21+mpeXp/R6vojjQ9X3eyw7guHYGVX8Vr28akI04dXS8ytZtv6Vxx18ZVH151tDXo1itVdhttciyFSEydAffo6PjVdLpDiRJxWYbREnxHLzeqQA7jeXcH4DDMXy3yP5OA3jn503XE8TiW4nHtuaif9sxmf3YbYNJpbMODYTA7hiCyzmOoqKTEQgaGh6gtfU5NG1nuZUsm1EUV+796funKHbs9iF4PFPyE12rtQqrpQKBgaEnUU1uLOaS/HkzmVDe6SLLFszmYkpLz+xT3y2EIJGop7NrOd3db+edAz2EQqsIBF4EJPy+E6momEdJyZl7TVk+2qismE9lxfwjPYzPHDZbDZMmZuu2DSONpu3ZWdSbDZ/8ZK+OpZ3IWCxlyPJOh4cQBq1tz7Gt7ncA+H0nMnz4j/sYY0VFM5nmW0xX91tYLZU4HMOzAoUDwOebztTjFrFt2127ZDII0ql2gqGV6Hp2TidJJmy2aiyWClTVnTUuJZVodANr136Lycf+H62tz9G441EkSWV740OAhNM5BpdzDJKsYrVUMnjwN/u8xv4QQqBpQeKJ7WTS/c+hkqlWtm37HZoWweEYgYREZeVFDB1yDWZz0YBef+/z7aoPkU53EQqtor7+j6xZcyWjRv2CkuLTERikUq0kEo0YejY4o6pu7PYhGEaarq43CIVXk0q2kEy1kE530LssQ1U9+H0zqKz8EkVFM9H1FJs230pLy9N7/O2y2r6Vf7xp09VYLKWMHv1LhND4aPXXiETWMXTI9xk06Kts+OQnBAIvAFnnZCDwApMm/gWv97j9uibd3Svo7n6HUPhDgsGVGEZOMM9ag9VWRTi8FkmSGTXy1oPKQDEMjbbAYgKBl/B4JlNeft5/pGO0QIEjyXvvvWe75pprBs2bN6975MiRSV3XpUcffbRIURRxxhlnRHrXiu+NCy+8MPSb3/wmeu211w5ub29XJ0yYkFy8eLFnwYIFxd/5zndae4vV7YkxY8Yk/v73vxf/+te/Lpk+fXrMZrOJ448/PgFw5plnRm688UZp5cqVzmuvvbYVoEeJ/rXXXvMcd9xxUafTmb+hnn322aGHH364dP78+UOuuOKKjk8++cT629/+tqK0tHS3dH1FUbjgggs6n3jiiRJN06RvfOMbbXKvEi6/32/87Gc/a/zxj388uL29XT377LPDXq9Xb2xsNL3xxhuuWbNmRXYV+DtYBmS8CyE6JEmaC7wFPCRJ0oPAS8AS4BKxe2HgZxJdj9Pa+k8MI4khNHQtQjrTRSrZSiLZSDrdSY9BBwJJMuF0jMDpGoPVUoHZXITNVovdPiQ/iTAMjWh0PalUG1ZrJYriIBbbRDzRgEn1YLaU4vUch6o69zguIcR+t2jS9RTxRB2ZdCeqyYMi28lo3SQTTXR1v0V319uk0m0DNkglyYzVWpkzpHuMe2NnzWtukpJOd+RThV3OsZQUn05GC5NOB8hkQvnoszDS6EYKIdJ9IpYjht9IRcV8Plr9VcLh1QRDqxg96lbq6+9jW93vUBQ7E8bfR1HRzP26HrsSCCwhFF6FxVJOOt1BS8tC0ukAsmzG45mSnUTm1LNBoqzsXDzuY5Bla9aQR+B0jMRsLiGd7iCT6cq+Lgxs1kHY7UP2+p72YBga8fhWdD2R/dzlI7j9f2VU1YXLNQ6TyUMmEySVasu9QTISSs7glCH/WMk93/lY15PEE/Ukk01I+eUqkqzi9UzBZNopYlZSfBq1g79JKLSKzZt/ydZtvwWyBnDWwdEbGa93Km7XBITQiETXs3nLL/d5DazWKsymIgQi95pa8grlJpOfeLyOZHJnHbIkKVgslWQyXeh6DElScThGIkkyLS2L2KE/ntsue/sqLT0bl3M0FksFTudo7PahhyyqU1py5oC2kyQJu30IdvsQBlVfttt6IQSx2GYC7f+ipeUZPl7/faZMXrDfE+MCRzeybMZs9u97Q+D4qc+xr5p6SVJzhvvu6dnpdAddXW9jNhfh883o9zdGlk0HHBm22aoZN+6uftcJIRAikx9jf06BVCrAyg8u5INVX8Iw0gwa9DWGDb2WcHg13cEVBIPv0dX9FkLopNPtpDMdjBp5yx7P19X1Blu3/Tbr6NsHbvckxoy+A6dz1D633RvZa9p37mqxlFBaeiZ+/4msXff/+OSTn/AJPxnQ8Wy2Wmy2QRQ7R+dLmiTZhDA0QuGP6OxcRqD9JUpLzyaZ2EE4soaqqovx+U7AbhucVaQwNDQ9ykcffQWTGgIUbDZbzqESxeEciZYJEYmsw+M5jm11v2N740NoWpShQ75PZdVFCCPNqg8v48OPvkpp6ZnIshW/7wRKS8/Z41xFCEFd/R+oq/s9ION0jKCycj5+34lkMt20BV4kk+mmvPzzRCMb+Hj992kLLMZmG5zrYCHnfq/k/ON8p4tezw09QSKxnWBoJclkE2ZzMR0d/2br1jtz7S6hrOw8Ro/6+REvWyhQ4Ginuro6U1VVlb7vvvvK2traTGazWYwcOTKxYMGCLTNnzowvXrx4QCXTiqKwdOnSzd/73veq77333vJgMKhWVVWlb7nllsabbrppQGJu3/3udztWrFjhuP3226sikYhSWVmZbmpqWgswZcqUZFFRkRYMBpUzzjgj0rPPrFmzwq+99ppn5syZkd7HmjdvXvi2225rvO+++8qWLFniGz58eOLBBx+s++Uvf1nZ37mvuOKKzj/96U/lPY93Xf+jH/2oo6amJnPXXXeVXXXVVUWapkmlpaXpadOmRadOnTqg7IT9Qdofu1uSpInAMsABPA98UexvuPIIMmqURdz3p77prLJswWIuw2arwWwuzk0ysq2QDD1JNLaRWGwrvb3rkmTCbC5Clq2k0+37jJDKsoWiotnYbYMBiYwWIpVqIZlsIZVqQddT2GxVWCzl2XPnI8I66XS2PtlkKsLlGosQBvH41pzoUv+K0Krqxu8/CbutNp/uvfMHUMqdQ8r9CEvZ1MvE9myqN0Yfo1bK/2hmn5tNfrze4/F6p2IyeQZ87Q0jxccf/5BA+0tYLZWk0u0U+WfS0fkqlZUX0dy8gJKSM0kkGojFtjB2zJ0H5JU3jAybt/ySHTv+iiSpufRMhaKi2VRUzKPIf3KhpdUeEEKQyXShqi4kyUQ63U4isT1rxEsSLufo3dTE4/EGYrGNWUO6J2WT7H+BTjSygVD4w/x3RFXdWK1VCCNDNPoJGS2I3T4Uh30Ydsfw7H/7YGTZghCCdKYTVXHlI9RZI3gTHZ2vk8l0UV11CTZbzad+rQ4GIQyCwZV4vVMLfdUL/FcTj9fx4YeXU1JyBiNG/HSP34fNm3/J9saHGDP6Diorv5hfbhgaHR3/Znvjw4RCH2C1VlNddTF2+zDMlpJ+9AiyzgSnc9Rh0VTYFcPI0Nb2PJoeBSQs5lJstkGoqjN3v+0mHq8DsgKTFkvZPo6XoqHhz9Q33IckqYwb+7+UlJyx23ZCCF5fNgGzeQ5LX/ZSXOxkzNg/oSj2fNZZWdnnGTvmN9Q33Edr6yJGjbwVv//E/DFS6Q7Wr7+WeLwOTYuiaUF83unU1n4bi6UMRXUiIWEYGpoWprV1EdsbH6Ki/AJGjvzZXp3bhqFR3/Anduz4a248PYECIx8o2PPUUsJqrcRhH0ZV1SUUF59KIrGdQOBfaHok56x/Gq93GiOG30Aq1YqiOPH5Tjgs91vDSCNJpj0eW9cTdAffy2WkaWiZSLbcgmw5hMM+FI/nuHyZSDxeR0vrIiLhtSDJIAzSmW60TM8+fbMxLJay/LW2mEspKpqNxzOZ7DwvmwXXk3V2pOmZ14LIlbC1oetxFNWJqrhQVWcugzPrfE+nO4hGNyJJSn7uoesx0pluUslWhMhk25payrKOK6EjjEz+WhtGimDoA7q63sxm79R+K18mAtnvUzLZQkYLoWsxrNYKrNaqvNNHkqQPhBB79LCvXr26ftKkSR17Wl+gwMGwevXq4kmTJtX2t26PxrskSVfs4XizgLOAm4B8eoEQ4uGDG+bh55hjRonlby1GVRy5m5kTRbHv84ZuGCnS6S7S6Q7i8W35WmjdSKCqHnzeqVhtg0glW9C0KA7HcOz2IWhahERiO+0dL+frHYUQqKoLq7UCi6UCq7UCWbaQSOwgne5xPu30NlvMJVgsZaTS7USjG5CQsTuG4bAPx+EYhtlcgqaF0fUEJpMHs7kEh2PkZ7KezDAyfLz+h7S3L2XihD9SVDSLj1Z/na6uN3E4RjD1uIUYhsaatd8kGFzBkNqrGTLkGiRJJhL5mPqGB3JtrAQ9jgV6PPW554aRQdOC1Az6OsOGXYeuZ51thRZWBQoUKPDZYyCZZ4ahsXr11+nqfgtF2anLkZ2gJ7Faq6mp+TpVlRf9V0Rbk8lmAKzWfoNEALz9zqnAYF5eMpjaWhuDah5k5MhbaGx8FCEyTDv+hQF3CxBCp6l5AVu3/gZtF8HH3lRVXcKokbcMuPxi3+ftnQFo5D4ryj7LJ1pan2XDhhvy2R8AbtdEKiovJJ0KZPUBZBVZtmDoSTQ9hiTJyJIZSTYhy+a8zkEfB5DUE/zIGu3h8GoikbWYTcV4fdPyGWAOx3CcztHEYptZu+6aAYh2SjmdCZG7vjIu55heQRMfqsmbdzhJSL0y2dpyJSqCVKqln4y5LF7vNMrLPp//zFgsZdjtQ5EkmVSqjURiB8lkI5oWwWwpxWIuxWIpR1XdxGKbshktkoSqOEkkdxAOr8EwkrkMkXIslrKsWKkkk8l009X5BsHQSkwmL1ZrdX7+nM3c3DvZebkZTRtwt7A9X1lJxeM+lmhsM5oWxGatQVYs6Hoi9z3aNQgmY7VWYLMNZsrkJwrGe4EjxoEa7/vT6FcIIQ6/G/sgOe6448TKlSuP9DD+qxFCoOvR/KQhkwmxre5uBlVfnhc+MowUn2y8mZaWp7GYyzBEmkymG0VxUlZ2DqrizImz7eqpz4q3FRXPHnC6c4ECBQoU+OyTyYRobHwkF8XuQcLnnUpx8WmfSiT9aOKDVV8mlUzy8suTGDtWoaj4UY495nHc7kkIoe1X5lwPmUyQSORj0pku9Jx2Q4+op8VShtt9zGcmmyga3UgstgWbbRCR6Abq6/9IMtlEViOiNOf4SSPL1lxUWiCMTF6AtqdksCfSvbOckNx/GZdrLB7PZFLJFrqD75FO5ztnYTL50fUYqupi1MifY7VWIkkyqurJaT8oCKETja6nO/g+mUy2JNZqraK87HP7zMLoD12P09X1NtHYxj4lCJoWIRB4MZ/l0UOPMGhvJ8fAkHA4hqMozpwAbPtuHRmslkp8/hnoWoxEcgdmcxEO+zDU3OdOUexYLZUoih1dj2WzO/QImhZF1yLoRgK7bQhO52iQJDKZbkBCVeyoJm+2XEhSSSQaSaUD2bJCWc2V6eTEJiUFh2MEqupC06I0Nf+DSGQdwtCQZBP2XJmKyeRDVqykks3EE9tzmajbOX7qwoLxXuCIsTfjfW/h2cPX/6XAfy2SJPXx9ptMHkaNvLnPNrJsYczoX+F2TyIUXImiurDba6kon3fACsR6JE1iTTupuhDppihCM8AAyaog21REUkcPpVA8FmyTSlAcJhKfdKEF4kiqjGSSkZ0mZLsJySQjKRKSKoMsoYfT2e0sCpahHhSvBT2Ywkho2X3NCorbjOq1oJY7UNzm3SY4whCItI7IGIi0jpE2EBkddIHiMiO7TIiUgZHIIFkUFKc5e/4CBQoU+C/AZPIwdOj3jvQwjhosljLi8Q8BsNlSuWXlB9VRxGTy9kmt/yzjdI7Kaxq43ROpKP8CyWRTTtvn8AiFalqEZKqVSHgtXV3LQZIZPvwGLObiPe7j803H55t+SM6vKHZKSuZQUjJnt3VDh3yfWGwzuh5FCINksolobBMIgdVWjS3XJUVV3aTTHaRSraRSATKZLuyO4bhd45EkNRuZNxf3KYsQwiCd7sw7IGTZis1W86k4csx7uba9UVUng2v+Zz+P/tlwRBUosCt7NN6FEA2f5kAK7D9CCERKx0hqiIyBbFORrSpGPIMeyYkFqRIoWWMTQ2CkdIxoBq0riUjrqGV2zOUOZJcZSR74jUqPZUis6yC5qRsjnMZIaNnzu8wobjOKy4zI6GjdKUQy65FVS+x4zhyMZFIwUjqprUGso/zZsQGp+hCmUnvWQJYkqqsuprrq4gO7NoZA60qitcdJbugitqoNNIHitWAe7Ea2KCCBkdSzY/dZsY7ykWmNEXl1OwhQi6xYat0IQfY6xzOku5KgGQhdZB0AukB2mVGLbRjxDJHXGnuy+pGsanZbzeijOyVZVSSTBLpAaAKhZ4+zv0hWFcVlQrIoIEn5dtSSVcU6zIO51gO6wEhlnQiyVUWyKDnj34SkFIz/AgUKFPhPxGIuRdOyivVmS1bxfdfOH/9NyLIZu/3wxqRU1YVTdeF0jKCi4oLDeq79RZIknM6RvZbsWSzVbC7ao5hjfx0ZJEnGYinBYik52GEWKFBgAAyoMFqSpOlAjRDiyX7WXQhsF0K8d6gH999ApjVGujFbly2ZZNRSO6ZSO5IqIzSD5NYgqY3dGGkdOWd4yRYFLZgiubEbvSt5aAaiyqheCyj9G/ByLnqMLKG1J8gE4mAIFL8VtciKyWfBSGhonQnS9SGMuAaKhOK1INtUEJDc1ESqLoTr5GpC/6pD705hHePHf9FoIq9uJ7JsB2qJjeKvT8iOZQDo0TR6MIUeTqO4zKhldpLrOwktbUDvTOZfm2NKGc4TqzCV7lu0RY+ks46Nov0XtjOSGkZSQ3FZ8k4JoQv0SBq9O0mmNUamLXvtUCQkRUZSpXyEXjLLSCYFyawgm3dG9o1oOvve29SsAyaSQY+mMaIZjFRO2EcIEKCHUoReqt/7QBUJU7kD2aKgR9IoPivFXxmXH3OBox8jqf1/9t48TK6rvPP/nLvf2ntvdau1tiRLtixveGHfTAAHm2DChEDCkMniJAOJJ3kSBrLMLzBhksnPkDBkwoQACSTEE2IgQMxisDGLbbzLtixLspbuVu9d1bXX3c6ZP251dbektlqyZMl2fZ+nn66qu9S5t+49912+7/dF+auvftJS5ikF8Npoo43zF7bdh5QNkkkNx2mgVHJVHVLaaKONNto4v7FaVbOPAnevsGw78OvAa8/IiJ6nkF5IMFGN/8arBNO1VkZcT1sYnQ7CWp7p9EfLBOMrKNVrtMqthKkhXAPlRSg/an1mb86RvLIfPWGCqaFqAbIRoSUN9JQFInYcVaQglKAJNFtHSxjoXS6aqRFM1gimqoSFBtG8FzuVx0KB9CKCmRpIMLpdnAs6cXd2Yw4kT0iNUs3vW+oM1PfMkb/1KfJf3IvR7ZJ+9RDl748y+Wc/QdZC3J3dNPYVmPmbR+l+74WYfUuEiSJF7ZFpGnvzcYBBKvyxyorBC7M/SeZtWzD6Eph9CTRn9QJ+evr0BY80xzjuu4QuYsp8zsbeeOp1hqeDqOThj1UQloZmG6hAIv0I5YXIRkQ41yCYqKB8id7h4O0rUPnxOOlXDD4n42vj7KP0vREqdx9d9frm2hTd//Fei7TSAAAgAElEQVTCeO5oo402ntewmln297znBiYn/5Zq7dRrqNtoo4022jj/sFqPZhfw5yss+wnw/jMznPMDSimCsQrewXnQNISlIeshshogNBHTlKVC+hFRwSMYrxDOLTqRWsLA6EtidLsIU0OWfLxDxdihXQI9Z5N9yybcbZ1gCJQXxZnZ6XrsRAuw1mVwNucQptYamwpkPI4zUPNsb8pibzrzDuWJxubu6KL3Ny+hsa9A8sp+NEvHGkpRuG0/mTduIP2qtQTjVWY/8xhTH38Id2c39uYcUcGj/vgs4WwdPWuDETvv1kAK6+o1GF0uWtpElnyCySpGTwJ3Z/eLOouoZ2zcHatjLyilmPvcE5S+c4TExd3xOW7jeQ/3ou5Vs0dkPaR0xwgzn9pN17u2I0xtsTSkGdATjoHZ3W6z2EYbzwfYVuysG0YVP5jBtl68lPk22mijjRcSVuu8O8S54BNBJ+77ft4jKvuU7hqNM+EdDsFUlfoTc3HGuSlAJnTRpDifoJ2FocXU5GZ9sjA1tIyFtSZJ4rI+zIEk5kDqhIJkq8XSbPOJIIRAWM9fVV2zWRawAPfCbpwdXa3zZQ2m6Lv5cio/OErlngnqu2dBE5gDSbrevR3nwq5nPLfuRasTL2ljEUIIctdvZvJjD5H/0j4SF/fEtPqeBGZ/AmHqqEjhj5XxDsxjdDm4F/e8qIMjEM8nC2yW81E80F6XwV63eoFHe12G2b9/gqmPP7TiOh0/u5Xk5e0MXhttnO9YqG/3vCk8b5pc9rJzPKI22mijjTbOBFbrvD8JXA984wTLrgeeOmMjOouISj6lbx5e9pnR42IOJGPxsCgWDzNTKTKvW4ezvQuhCZQfIVwDrek0q1DGAmHt+uAzgmOdcT1lkX3TRtKvGULWQvSs3T7XZxlGl0v22vUUbz+Et/+Y3qpLSjgWYN41SuoVa7E3Z9EzNlHJQ1bDWOMgYZw37YLOBsK5OvNfOxiXcBAH8bp+cQfOlo5zPLJnB3tTlt73XYp/sNgMZsaaDGgCBJTvHKX4jYM42zra1Po22jjPsdR59/2p02o9dqpQkaJ85wgIEevhdNgYHQ5oAlkLUKGKO7W4xrNKckDMGGvsmaN6/xRGXwJnawdGlxML59qrL5Nr44UNpRTevgIA9nBumVBvOO/hHykSFjxkNcAaSmNvyhKVA4Kx8rkachttnBSrneH+BviUEKIE/C0wBgwCvwr8J+A3zs7wziysgRQDf/JSoqJHVPDQc/aqBMxwj6lhPg+zbC9EnKh+vI2zh/Sr1pK4rBcVSVQgCSZrhNO1ZrAq1hGwN+fwDsxT+vZhCv+yL95QA5ZUhAjHwFqXxl6XRkuai9oHukBWQ8J8rHxsrklidLkIASqMRf1kPcTodjH7kwhDtPQaVKRi1gtxSYDmrv668I6UiPIN9A4bLWHGXQbqsUZFNO/F3RE6HIxOBz1rExU9gokqQhfoXS7hbI36IzOx0CAQFhoIXSP9unXoCYPyj8aZ//pB+n7rsuc9G8HsdlekxhudDlN/9TDFbxyi8z+cWIm4jTbaOD+g6wkMI02lug8p/VYN/NlE9ScTlO4YWdW6wtHj0kJNgCbieThjx6KvZR8lVatN60Jb1qUIp2r4o2W0jEVjX4HK98dayxKX9tLx9q3toP+LEEoqonwjbr/rRRS/dRjvQJyQ0JIm1lDcqjgsNAibz3Qg1lI6ja4/bbRxLrAqC1gp9bdCiG3AzcB/WboI+JhS6v+cjcGdcYhYNV3rSWD2rMJpb6ONFxmWivWtdI8kdvXg7uwmmKjiHy621Oq1hEk07xHO1PCOlCjdUTjh9sLWQRGLL54GhK2TvW4jyZf0tzI3SipkJTb4FqC8iNJ3R+LSixV3xjJGwUrQUmYsNqgJnK0dpF+9Fj0TawNoaYv8P+2l9ugMyUtfuHWlZl+S9CvXUr5zNBavXE3WLJLIahhn3dTqDaPB//bSsxIk9SeqEK1egf9MIA5EtQO+bTz3sKw+yuXHAM565l3WAkrfOYK9KUv3ey8kLHhEhQZhoQGKuAWsoaEiiawGBFM1wnyjVYoYjFdpPJlHODp6JmbbyUqAWmi3eoxjJWyd3M8Mk7yiHxVGeIdKLd2byo/HUZEkd8Mw/pESCOK2tOc4uKqUQtbC5rMq/szILQ9Gq0jiHSoSFbxYcLc3EWseaQIhRLyPckAwVW0F2NEF5pokZo+LlrJa+1tgOZwKw0FFasWgh1Kq2f0maInfKi9CSxjHZbX9sTLVB6daGk0I4meGiNmWshESFjyEAGtjFqPbJZysEuYbaAkDLWESztUJp2toaQtrIIX0IvyxMsqL0NPWoi0hFTSd9WCyigoW53hh6+Su34yetak9Ok04U28Fi5KX92EP5+IkgqHhj5XxDxfRszbmYAr+7BR+3Bc5hBCX33zzzRO33HLL+Lkey4sBq05fKaV+Vwjxv4HXA13ALHCHUurg2RpcG220cX5CaAJrMIU1uHLrIek3uyNEKn64RiouP0nErQOjQoNw3mvtT0tbaI4etyKcqoFSsTHQpHDHKXqo3jfB/G0HqPxwHM01UEFEOFNf9sBuwRBkXr8Od2c30byHrIfx95k65pokes5GVoK420I+Ho+esTDXJEEqwrkGWtLE3pRd0fBzL4q7LpS+fZjEzm4QAhXJxeOG87Yu/lSRee06ZC0gPJEmyAkgNIG5JhWXUpyK4XyWyi7mPr/nzLXXXCWMbpeOn92KvX71+gPnAiqQYIgXdMnL+Y6o5MWOl67FgdDZepyBXnB+mg4cGmiugdHpoCT4I6W4fesS/1YYGrbZQ6F4DwCW1kNYjJ2lBScKIeL3zf3HrUtPb54q3TGCrIdk37I5nl+P0bc5mxC6gXtBZ+u9nrMp/vuhZYFbc02S1CsGl7P5pCKqBsiyj7kmib2lA6EJgpk6QgOjJ4HQYkdT1kL0Drt1f8h6SH3PHI29+fgZsTGLc0Enmr1ckyjMNyh9b4RgvBL/RuHxQUw9Z6OlLVAq/s0bJwhsC+JnoRDLnnVa0owDHPeeOBguLB09Z4OKS0ONDhtzTSoOjjTC2JFNmkSVgMa+AlGhgZa24tbAQrRa0BIpwnxjxaC7ljLjAIkuCGfreAeLsS6Ua8SBW0VrX0oqNFtHzznISFL+3ki8XBcYHQ6yHsTnO2dj9iWJSh7lHxxFmBrWYAotZxNVAmShqVfVZG8IWyd5ZT/mmmQc8FBgb861khLuhcf3qF8Ke33mvJ+nz1fccccdezds2OCf63G8WCBOJRvyfMcVV1yhHnjggXM9jDbaaONZQClF7f4pao/NxG0TdYHR7cYUzKWGpwB7Uw6j0znrY2rsKzD7mcdXzORrKZOOG7fgbn9m46GNs4vGgXlUcHqMj9OBrIeUvn2EqOiR2NVD4rI+7M2584bOG0zXKHz5AOFUFVkLsdZnyLx2CHtzDoippf5ImagQBzxkI85sRWWf1MsGSF7Rf86zmS8UFL5ygOq9E/GbU6HwPgN7aO66f2Y2+CYAW/f/NeLQSZxpAc7WDhKX9KJnY4fH6EmctH1qY1+B2c89TvIl/XT8zJbVjfsso/boDMF0DWdzlqjoU/zOkZMH7gzRclQhztpqCaMlYBxngJOE+QbhbB0U6BkrbgvsS8zBFL03XYwwYwde+hHTn3yEqNDAWp/B7IsDxnraROgaSsYOcTBRbQWW9YyFu6MLozdBOFUlnG3EznnULB+LFEan02qDq6esmCpeaBDmG8hqEDvlgAqanxe9loMbztUJJuPguOYYMb28HiKsuP2w2Z8kKvmxICssBnu0ZsvbXhc9bSMcPQ5KOwbhdI3ag1N4R0ogBJqjk7yin+RV/asqfZSNkGjeW/YMbwWtmjhR++GzDSHEg0qpK1Za/uijjx7etWvXM1D72mjj9PHoo49279q1a8OJlp1yQbEQopdYfX4ZlFKrK3Rqo402zilkvY5/+DDB+DhGVxfOrl3Pq2ybEILklf0kr+w/10Npwd6SI3fDZqKy38xeCdC1BbIAtQemmPv7PSQu6cEcSLWyFHrSPNdDf1HBGc4959/pXthN6TtHqD4wSe2RGYzeBH03X3bO7zl/rBwHnDSBu7MbLWFSe3ia2c8+sfJGhsDsi8sA5m87QPXH4xjNDil6ysTodBAr6FHoKQt7S+6cH/f5iOr9k1TvnSBxWS9Gj4usRxjdTly6pDcnEdlk8igFMqaph3Nxba+9PoM5kGw5NkrBxH+/F6ORi/sBAWrUwr2gE2d752IWVKpYSqT5Pqr41B+dJX/rcg1ioy8Rf8dgCrMngZY0EI6BIHaSi7cfwuxLkHnDhufupJ0EiV09y967O7uPYycgQE+aaAkDb6RMY2++yRZKxh1WRkrIeoh5ZT+aa+AdKhFMNNvRXtyDe0En5toUSKg/NkP+1qfIf2k/nT+3DSEE8//2NOF0je73XoSz9dQFTVfbmlNoAqPLXXVr0IWkXavsrFlKtJT2fiowu13cHacfmNYcA63/GG2pY5z0FwJz7fmIT3/60x2/8iu/sunee+/dc9VVV9WXLnvlK1+5ZXp62ty7d++eY2nzu3fvtn/nd35n7YMPPpiqVqt6Z2dncMkll1T/7d/+7aBptu2eZ4tVOe9CCA34CPBrwErWz/O3f1kbbbwIoJSifPvtTP7Jh4nmFxXl7W3b6PyFd5N961sRRlsg8HQghCB1zcCKy1NXraH4rcNU7pmAR2YA6H3fpW3n/UUAzdbJ/fQmsj+1gcZTeaJq8Jw4sAv1tcqLmQbhTI36k3mCoxUUEE5V0RImPb+8E6PpJGRet47aY7OtTLuetrDWpTF6EnGGF1p1t/Xds5TvHiM4WgGlaJT8E5euLIGzvZOOG7ecl90KVCiJSnG2UVaDE1LRl0LYOnrKXLF1q7B03Iu6j6NRL4X0IxpPFSh89QD2cC4WWTtDmUW9w0GvZiEDhp5DCw3cC7tIvuSZg57ZN24kOFpB+hFIhX+0gvf0PLXds6ifTJ5wG/eiLjp+dtszHuu5hjA0rIGVy7yczTmczcvN22PbYqauXmGO1yFxSS9hwaP0rcPM1gIAvP3zpF87dFqO+9nEsfPP6Trtbbzw8fM///PzN998c/TZz36266qrrmqpQo6Ojho//vGP0x/60IeOnmi766+/fks6nY5uueWWIz09PeHo6Kh1++23Z6MoEqZpvngo32cJq7XUfxv4TWL5ho8A/51YX/pdzf//46yMro022lgRYaFA4/HHUVGEPbwFzXXwnnqKMF/A2bEda8MGZKVCMDZG/dFHKd95J9W7f4Czcyf9/+2PMQcHaezdS+GfvsjEH/whc5/7HN03/TrmwAB6OoXR34+eTp/rw3xBQBgaues2kX3zRpQXISsBetY+q99Z/u53qd5330nXMzo7MYeGcLZtw9q0CaG1DbmzAWFquBd1r3r98T+9L3a8hUBoNJ3nY2qVF2qXmw7f0s+isn9c7aywNKyhNELXcLZ3kX3zRowl16EwtFWJLgoh4jKAJdlNpVQsZLVCTWx9T57iNw8x+T8fQLN1VCgxB1LYwzmSL+l/zgNZKogIZhtEc3Xqe/PUH5897nxpibj+/ARboxrRSYMVxW8cJPXSAfROJxZlm6zij5ZjWrOKyxIIFXqnE2drzyAl2Oh00IppyMT17gBG18lLiIQmWorcQNwC89VDsVhZvknNrgXIZlBIT5g4O7ra5RNA+tVrkRWf+pN5NFsneVU/mdevP9fDauM8wG8/OTK0t9o4p0rZFySd2se3rxs9lW0SiYS67rrrCl/+8pc7P/nJT47pehyg++xnP9sJiF/6pV/KH7vNxMSEceTIEfsLX/jCgXe9613Fhc9vuumm49Zt4/SwWuf9vcCfAB8ndt6/rJR6SAjxEeDbwLqzNL422jjvoZRiquQRKUVfOjaER/I18lWfLuWT9KoUkzmKkYAoRC/M0e3o9KRsaqbL/oZGcaaAc+BJzLlphBAITWuWmWkITaBkRP3oBMHRo5gzk7hz0yTnT1JqpekgF41R0dXFyI3v5XNrX4o8orMj0Ni+8Wp2fOJaBh6/j/zHbmH8d393+S5SKYQVZ8n0TAajuxv30kvJvu1nsDduPLMn8kUAIQTiOWqBWH/8cYpf/sozryQlslptvdWyWewNG04oGCcMA/fSS0m+/OUYXZ3Llhn9a9BTyTMx7DaaSF7WGzuHiuWCT7CosLxEBAqWr2cP5zA63dgBJaa125tysZDTWYAQ4hlro9OvGMTenKXyo/E4BqGJuCvFNw9Te2ianl/d+awz8lHFxx8px8JaQYTZl8TocZdlFmUjpHr/JLUHp1B+ky5s6bgXdbU6Smi2jjmUXhbYOBGkF62ooRDONSjfObqsdZowtZh63iw1cLZ14mzJYW3Moq2QwT9dGF0u2sEkDIEZdbY+O10IcWrU7BcjhBDk3rKZ3Fs2n+uhtNHGGcN73vOeuVtvvbX7a1/7Wvqtb31rGeDWW2/tuuaaa0rr168Pjl2/r68vXLt2rfdHf/RHaycnJ803vOEN5Z07d65O5baNVWFVgnVCiCrwZqXU94UQPvAapdSPmstuAD6hlDrvHfgXo2BdGEmCSKFQxN00FI6hY51m/ZAXRlQaIYWaz2i+znS5gUBgGRqXr+9gqPP8bcGnlKL2k/vJ//vtSN9HCUG9ew1zvUPU5/Johw4QeD4VN0NUr5M+ephEKY80LaTtoGwHaTtUhUFZaiTKBTqKM+B5SCmxooBU0MBQEQ3dRFOKdLBYIlS0kqT8GvoxPMxA6Jjq5CJaEkHeyTCV7GQu1cXBdB97skNEms768hR26HM4u4Z5K8nw/FGGKtPM2ynK6U4eTw8w6XaCEGzrS+NaOk9Nlqk3Dc++jM2nfm4XW4tjyEqVqFQknJwkmJhERWFcD1ksEk5OUd+9G6KIxNVX033Tr5G46qrzto5VKUU4PY0KAsze3lYgAkBJSZTPIwwDYVko30c2GgjTRHMcRCKxWBPYXKZnYiXaYHoa//BhjI4O9O5uiCKU56F3dqK5zy/jVtZq+KNjNJ54gtqDDxBOnJgaK6tV6k88AWF43DLhumTe8AbSb7gWa/16jJ6eOAAg5WKLOCmbjuaCCv9C/W78eVx7G782h4bOyjVV/t6dyHrt5CueIQghcC+/HLPv7Lbpej6j8fQ8c597Ar3ToeeXd55UHO1ECKZrlL8/Ru2R6dUJvekxc8DZ1onR5WD2JVoiY2caUclvOfh6zn7OKMrlu8eY/d79HHzl79IVvpGeH/w8A//fS9sZ8jbaWCXagnUxpJQMDQ3tvOqqq8q33Xbb4Yceesi5/PLLL/zrv/7rQ7/+67+eh+Nbxe3Zs8f60Ic+NHDXXXdl5+fnjcHBQf9973vf5O///u/PnNujef7gTAjWFVkUqRsHtgE/WrKPzhNtdL5BKaj7EcV6wGwlbpmStAxqfsRIvoYfRmxzQnqUx7TbwWwgGMg5DHUmaAQRhWpAd9oiYZ2ZrJlSiumyR77qM9SZIGUbrc/HCnUOzFTIuibrOhMEkWSq5HFotsJTkxVG8lVmmts2AkkYhKwVDfqiGr4fUGvEf40gRFMKoRRa01iu2QmCoQ10ZhJUvJAgkmzuSbGlN4ljHn9sCjgyW2Hmwd10H9nLmuocqaBOwUlTsNOoZjHkt3STTGcGTdOo1n2KukMplcPJpBnudhlImehSoikZZ2lMg/T6tfQN9BJKSdWLmK14zJQ9furCfnauzZ72uZVhiD+Xhyhi9sARDn3nLvS7v0fH1Ch13aJqOhgyIudXWZBZ8TWDUNNZH3pIIZjK9jOX7kILA4x6CTOYwQ59MjJgQxRQTeWYz/ag9yfJOCbCtpnWbSJNp8NQuKbOVK6Hip0kWymQLM3h5Trwu3qZD2Gu4pEJGgxEVfSODGr7RUQDQ0hix1JKSRQplJKAoGvdAFf0ZnGbGRqlFGUvpOFHaJpAEwJNgBdKjs7XOVqoc3S+zlSpwYWOSU/a5upNnQz3xpTISCqOzFV5YrzEn39rL+/4zAN88E0X0N+xBi8d4fVKvAslAjA0gaYJDE1wSSIic/e3KXz+84z8x/diDgwgnEU6ptB1zHXrsDdtwtq0CXvzJrTUcvp9VJwnGB0lmp9HmCbS8/CefBLv8GGswbXY27ahpZJNynDMGY6KRYKJ8bj9y/AwRk834dQUwfgEwcQE4cwMagnTAKla37EAvbsbs78fYRh4+/cvyzofCy2bxR4eRvk+3t69qCBAy2TQbJtwZuXnj97TjX7M8Wqui7VhPdbwMMmrr8bduRNxlkVb/uq7+/mn+0ZaSfSYUb1ouLc+FyAQbO4Z5Ia3X8lVmzrRl6xn6BodCRMhBFG5TO3BB1H1xaCUkpLaT+6n9I1vUPzqV8/I2C/Y/ShYZ74ueupP/5RgbOzkK55BCMui453vJHvj27DWrUNzzn73g1OBiqL44ajry64PpRT1Rx6h8MUv0njs8WXbCNsmcfnlJF/2UvTs6uZpzXWxt2w57rp3Nufoes8OZj+3h4mP/gR7U5bkFX24u3pWFcDxx8rM/O1jIBXJl/STuLS3qVot4j7Yc/XldeuawBnOnVaQ4HSgZ87+94Szs9Qffxx31y6Mjri+2uhy0L0sQliYlW70Tuc5cdyl5xFOTRFOTxNOTxNMT0MYIlwXPZfDGhrCWrcOPffci0e20UYbpw5N03j7298+9+lPf7qvXC6PfOYzn+lKJBLy3e9+9/xK2+zYscP/8pe/fFhKyb333uv+5V/+Ze8HPvCBdRs3bvTe8Y53lJ7L8b8QsdrM+zeIe7p/TAjxKeDNwO8BIXH9+6RS6pVndaRnABvSHeqDL3kDoaYTaDpZr8qa2hyJIBbnSYQeiXCR2THjZnm0e5hHe4ZxQp++Wh4pNKxcFiOTJnSThIkUUSJFWbd5uiGYCHSS6SSZhEUjiPBDyVWbOvnpiweYrXj86NEjVMfGkfUas2WPqUDDiXy2zI+x1i+ST3Yw4eSoysXovK4ihuePsmtmP5YMmU52YSQS9ARlOmpFktUibmUe7RTa/gWGRSHXixX5WH4Dw6tjhUHTsXWpmE7zv0vNdNhWOspAaRqAyHaRqRRGaR4RHMeYOWVUDYdIaCgh+Psdb+L2DVeTS5jc/luvYE325FlM6Xl4+QJmwkVLJvnJ3/0zwd99iu7SYkBUIni6c4inr7oW541vwk4mEAL6hc/A/ATZ3i4yWzaTTjnovtdsd3J+GdlnAvkg5H8emmTc88kYOsOuw5t6snSjcdMXHuQnh05ekqRrgndeOcR/ftk67Dv+ndr997N0HlF+gH/kMP6RETiF60Pv6cbeuAl/bJRwfOLE62SzsfBysVVGhXBdzDVrMHp7jxPcM9f0Y2+7AM11CCYnCSenCCYnUY0G9pYtWBs3gpIo30dYNsKxUWGIqtXwx8bw9h9A6DrOzoswOrsIjh5FVis4O3ZgbR5GlkuEM7Ng6GiWRTg7iz86usy5BYhKZfwjR2LHUSm0ZJJ1f/dp3EsuWfX5OVV8ffc4d++LgwxLmNXN10uo1sSBnAcO5xkvnriVUsLSGci5BJGk5kd0p2zWdyZINgOOFw5keMfFPeiHnsYfHSOcnYkdr7gIGzRtsVa7GYxZaD/UWk9orXrt7FvegtDPfCbUHxlBnYA5cLYga3UK//iPcVBDxhRtZ9fFbLz11udsDEopCv/4T/iHDtHz/vctc7YL//IvTP3pRxevVyHAMOLfSNNQ9TpaKkXymmsQSwK7UbEUB3EaJ2m9dQyE4+Bs347mOqDF91Xq5S8HoLFvgqicJZy3ifIezrYOcj8zjJFbeR4OpqrMfGo3wtbpuWnXSWnupwJZrRLNz7PSY9Xs7zujAp/1x5+gctddaMkkWirZEgZcNgAFwcR4PC8ZBu6uXYQzMxS++MXWb2ENb0ZzE4hkH0b/O7B/VsP/gUTMFzE7D9F106+hWRaNp/ZRu+9eVBghdA2jtxdz7Vqciy46bdZLY98+jvzCLy6bn1eCMbAGe/Pw4jlcGk2EZQKJi1hcR5gm5sAAxpr++LcqzCM0gXBd0tdei7N162kdQxsvLATj44x+87uktgzT+4prVr1d7cEHSV5xRTvz3sTu3bvtXbt2XfTJT37y0Ec+8pHBa665pvyv//qvhxeWH5t5Pxb5fF7r6uq69A/+4A/GPvzhD089ZwN/HuOZMu+rdd6vBTYppT4lhOgHvgZc3lx8BLhBKbX7DI33rGF7Jqs+f/lV6FGIEYXIdIZGdz9ksqQcA811mUp1kddcemoFMhOH0R56AKMSB4mkaYGSaCcx/iJNx7MTeE4Cz05w0Mgw4eTYPD/GzrlD6OrEIjdS09DkiZcpIQg2DGPlMhhTEyjfx+jpwejpxujtbb7uwejqjjMbWtNIFtry10IQzsxQ3/0owdhRtEQiNhaSSTTHRtbqROUSslyJ/5fKROUyZn8/mZ++jvRrXoPe3d0yLGS53BygQjY8ZK0a997WBFGpFDtK9XpsEOoGwtBjoxAI6h75gyNUR0bRUJgH98PeJzE+8TfccFeZXWtzfOGXr0LX4u+666t3kf/X24gsGyU0kiNP0z95iKS/6ChJIdCUYqRzLZXXvBFl2RgdHQxf+wq2bxtCf55TBgOpeLhU5cfzFTpMg1d3plnvLjdY65HkcN1j0gtI6BopQ6cURuyvNvizQ5MUw5BtSYf5IOKoFzvXl2USfHzbEH7RRxMC29SwDS0ur1AQKUUYKRpBxOfvPcI/3TdCpBSXrevgivUdy86roQk29iTZ0umSnJtEGxtB9z30ZvZeA/RUEnNoCLO7G8IQTdcxuzpbhlpUqaJ8L6ZdN2nVeiqFlkzGVPiZGaJ8HqOvDz0Xt5+qeCFJ6/js4UzZo1ALkEphGRo9aZu0bSCEoOaH/PjAHPcfyWPrGhnXJOua5BIWtqFhaIJGGDFfC6g1hbiCSFKoBZTqxwcmetI26zoTJG2dMKY/YngAACAASURBVFKEMv6LpCSMFFa9wtCRPeSeeJh1//X3MJo0/PMBUioeOFJg/3R52edeIBkt1JiYb2CbGo6hM11uMJKv0QgkUikmig26khY/dVE/1hJasGVoXDiQ4eK1OZKWvmh7I1paa0KIhY9bdnvWNc+bUgwpFTMVj5F8jap3ao6/EIKLB7Mk81PUH91NMDqCME26fvmXT7rtmQgyyIbH5B//MaVvfAMAo6eHnt96P3pnJ5W7vs/8//2/JK6+msSVL4FIxsyVSIKMUGGEtXEj6Te/mYoeZ48tQ2sxz6TnxYKZ3upKGaNikdrDD+PteRIVRUivgbf3qVZQYwHCtEj/9G+AcREqkHFf7JxNNO8RFb3j1N+1tEnvTbtOuRZbKRWXu0hJ5fvfZ/6LX6SxN26RphoNZO2Zyyv0nm6y119P4rLLlmlECMvGWjuI3tUVM4ImJmJ2w8oDofzt76yetaLrWOvXo3w/DgZqGtm3/DSZt1xP4/HHqD+6GxWFVO/5CenrPkHm2vWUvjeCv+/beI/9C/YFF2Bv3kzp3/+dE0UmrOHNdL33vWTe+Ea05Op1LGS9zqG3/yy1uQIPvuGd7I9cCm6GRrYT3bJISJ/usMY6b57e+UnSowdxp44iUAgUIBAtTYdWqLG1fw0wdQ1dEM+p9Qb67DQiavY0t6zY9gh8cBzW3nIL6de+ZtXjP1tQUuIfORJfa0FAMD5OMDkZC4WuHYoDWQulREqipVItdhjEzJioUCAqFOIdahqy3kBWKshKmahSgUjGttWCnWUaoOtxuVthHlmt4l68Mw7M6IvMvXBmBqTE6O1t2YbR7GwcwA4jiEJUFKGCEJTE3nYBZl8vSkoaTz5JOBX7YEZnJ87OnQhdj8vR5uZiJo9pIiwLoeuE09P4o2OoRj22HUslgvFxZL2B0du0XW0rZqmtW4fR30+Uz+MdPIh/8BDeoUNUyjXy0qBaKqNNT2FWy1iWgbVgV5omsqePsLMbfWoC/cA+rJGDrd+i8Jo3cfkHfiu2X30/ZtXNzjF+74NU9x3A3biBrk1DzH3pNrQndrPjqb1t530Jdu3adcHk5KQ1PT1tfuUrX9l3ww03tIyFpc77fffd577//e8fuvHGGwtbt25tRFEkPve5z3XdfvvtHXfeeefeV7ziFc9d7drzGM/aeT9uo9iq2gwkgCeVUs8+/foc4HRq3lUU4R88iJbNYvTEND7pechSiahcbv2PiqV4Ii2XY4e30vxfLOKNjRGMjaEGh+h+w+txt1+AcF0QAlWvI0wTZ/t2jDVrCGdmCSfGY4dlCayNG1t0uBcqolKJQ2+7ERWG7P7Dv+R3vjPKGy/sZ7gniXbbP3PtD/6FSDNAgBGFTHcPUtqwjainD5GJ69RlYZ7kRTu49qZ3Yq9Q3lAJI0KlCBVMeD6jDZ+UrrPetei3TWxNw5eS/TWPp2seM35AQyouSDpsTToUgpDxRkCwNNsMjDV8dpdrTPshlhCYmsDSBI6m0WeZdJg6Iw2f/dUGDakWEpHEecglzkxzn1rTqRFAhGLSCzjaCPCPuWcdTSy0AUYRH9dK2JV2+dgF69iRig3d8YbPN2aK3HJ4El8p/uumNQw5J6Z5pnSNLstgk2sznq/z1UfG+c6Tkzw1udzZCxd6B58G4mSsaApoi9Z7TcSOQ9I22Nid5IZLBrl8fQd7xks8cCTPD/fPsn+6gmNqrO1I4Jo6UimOzteZrx0/PemaQNcEkVREUmHq4pTGLQSkbANtidEulaLcWL3D9aWbruGKDWev4ugL43N8fXpFVttxuCDl8J6BbjYmFoNBc37IkbqHBAwh2J5ysE+gRv/gkTyf+N4BHh5Z/n31JvvoVLHvI286bV2OZ8Ir//xORgunZjec7rW8AMfUeMcVQ1y3cw3ru5L0pm20VQQRn7r8imcs61g1hKDnt3+b5MtfxsQHP4T31GIP765f/k/03HwzgRJ86vtPM1FazKQrBWOFGo+MzFNeErToSloMdSZY35VgqCNx0t+p4oUcmavSCCTX7ujjzTvXkHHi4BnlErX770fYDubgIMH4OOU7vsP8P99K+qfeSub6XyOYbhAVPYycjZ5z4r7ni4dG4pLeVqu7lRDNz8eB5ChC1WqUvvktSl//OtGSDLGxZk3MAjBip8Po6YmfudrxDBAVBlTuvpvKXd8/oQbEqUKYJp3v+UW6fvVXAZCVyuIBthgsMfSODrRmSUk4M0MURtxX1nl4ZJ7NvUm29KaxDA3/l95FYttNONsG8Q7M03jkC6RftZHi17+OrFbpePe7qV33NlQigakknY0SwZ495P/hH/D27kXYNsmXvQz34osxh9ai6nW8pw8iG3XM3l70jg5AIEwDc2CA4r99jfmvfIUPXvMr7Fu7nS19aZKWjh9K/Ejih5JiPWC67BHJM9MpSlOSrFehZth4RjxvdTRKfPgnn2VTYYzsdddhdHWiJVOx+KphEBWLyHoda+MGnK1bEY4LMmo5l7JWa2lzxGjqdCy8D6N4H5UyemcX5sAAWjKJMI3YMdYNzP4+nAsvJBgbY/xDf0D9wQdP7cB0PWaZed7ieM4AQjdJ0NGFlkhgzEyhF+OAgDJMlK6jeSdn0gRDG9BL82jF5XO9ns1ibdoUl6MtXL+rgNI0xAmSVkrTEUvK4Bq6hacbJEIPXzOZSnRQspNxwAaFpiRWFNJXy5Pzq+TtNAezA+wf2MbaN70O9e3bedmD3zpOcwhiZuasm6WrXkRHMeXmuG341XziS/+j7bwvwUc/+tGeD37wg+t6e3uD8fHx3foSdtxS5/3o0aPG+973vrUPPfRQampqyrQsS23durX+gQ98YOLGG29sU+ZXiTPuvD9fcazzHkrFUc9npO5zpOHjScmOlMtm10ZvOgxZQ19moK8WvpRYS4xcpdQpZ5KkUi2n7FDdY08lzjBvTNgkdY0ZP2TGD5n2A8phRErXSRlxVtuTiicrdR4p1yiHy6P+OcPg0kyCTQmbYhBRl5KNrs1612LGDxlt+ARSoQua50GgE78+6vncnS8z0vDZmnQYciz2VxscrHsMORa70gkGHYsuU6fLNOg0DRK6hlxyPErF/QV1AYO2xVrHwhCxA+zt2cORd/48Kgwpdg8wE2r0lmfJBDXmL3spl/2vv8Du7Djp+RxtOtKBVFQiybjnc6jm8WCpxkjDf8bzntA1AqmWOeerxaBtstaxCFSccfWVohpJprzY6e4wdLYlHdxmdrIlDt0UFGzKeKFQS5bFDn5fc9+XZRK8NJdiLgi5K1/maMNHX+LwOppgg2szYJs0pKIcRmQNnW7LYGvSWVbPvICjDZ/f2HOE+4ondxYGbJPfWt/HO9d0LrvGFxBEkiNzVQ5MV6j5sfMWRBIvjLO0StEST1SqedzHvF+89uP1I6nwQ0nFC3nwSIGR/KIDZhsaV27s5CUbOinWA8YKNYKmaFVfxmFbX4qetIOuxc7kbNmnUPOJlMLSNa7e1MUVGzowNY2yF1KsBRTrAV4YEck4W9+RsEg0M8eGppF1zROyOGp+yGi+TiOI0DWBoQsMLc7g65rAjySj+Rqj+RrXXzJI1j17de+fHpvhy1OFVa0bKXi8UiNUsCURz3/zQcSkvzzw4WoaV2WTdB0TGNucsLmxr+M4FkgYSfZOltkzUcIP5aLZtGQuWHgGLb3bfvGaDWeFJfPpHxw8IWPiZOhuMioyp/h7NYKI2x46ylcfOdq6Jrf0pvjOf3nVSbed+/SnUWegLClxxRUkXvISAFQQ4B04gJISPZ3GWrcOL4z4zX98iDuenKY7ZbEYPoyZJJety7GpJ4Um4vtnNF9jJF/jyFyN8fk6J/PDLENjXWcCKRUHZxfnFyFgx5oMLxvuRinFaL7OFRs6eO/LNlL8wueZ+tOP4uzYgdH/zH3J4wOLWWDBzDSyujw4oxqN45wJYVmkX/967C3DANhbt5J61atOmQYf5vMEE8tLfFS9jj86RpSfw+jvjzVBTqLfoPX0ck9Bce/BPJGUrTlQysX5UDbvFbl0jlTw6Oj8svO6gF997Kv8/OA1GD1bIFJUf/Qxvnbzh3jfa4fxvIBf++oB7jk411rf0ARDnQkuWZvlld5R+h65h9QDP8acWRSwFJaFcN0VafFf2vY69l3/C3zuvVeueP9GUlFuBASRIohiRpIfnTzAV2oEjOZrlOoBvRmHnrRNyjYwdY1CzWeu4tOZNHFMnZv/4T5uuPMLXFM8iNGoY3j1VlZfCYHSDbTw9O8t30niOwmcyjzGCvvRMhmU79NA53PDr2POzSDRmEnkmHFzZL0K/bU8pgyb3AOBEoJs1GBrVKQ7atDQTQrKYEQ5lKwkSoCmFA3domY61AyHmmETaRq6lOhKYsgIXUn0pghu0UoSaAYXzR3i4tkDZL0qbuQx52R4OjtIqOn01QoYMmIy2cmckyXQDCJNIxLxX6jp6EqxPX+YXTMHKFlJHui7gNF0LwoYqM7yqvx+1tXnmOkdYrJjgEItoFato8sIU4YUnAwTiU5qZlwGUzUcZhIdhJpO1quQ9SqYMsINPQYrM/TX8sw5WaY7+rE3bWJwyzp2DObYMZBhQ1eSrGsSScV4U9cHYqaTJprsC8tGE7B9TQbH1Imk4stfuovZBx6GBUaAaaKl0/RdfjHrhvo4Ollg+qmn6d6xlcs29TDYkWg7722cM5yW8y6EOKUadqXU3ac+tOcWiQsuVMN/F9caKqAQhM+YpQQwBPRZJjtSLhenXQSC2SAkkBJdCGqR5KjnU40knYaBJmBvtcG4F9BtGmxK2Gx0bTa4FlN+yOPlGuVIYmsCqaAUxs4zgCUEax2LHsvgYM1jf807LQdyAWld49JMgm5rucE56QU8Uq5Raz4wDcFJz8MCbE1wZTbJ5oTDvmqD0YbPcMJmOGFzuO7zeKXOtB+sSvD3RFjvWFwqfV6773Guvu9H4HuYQ0O4l16G85af5um6j6tpZAydLjOmSEdKcbjuYQhBztD59NgsfzUyhbfEqhTETuclmQS70gncZiu2fstknWtRCSWHGx4zXkg+CDE1wYUply0Jmz7bxBSCPZUGB2oNuiyDQdvCPsY46bXM45yaBSgVBxFSunZO6cAlv8THHvwYRa/Ijq4d7OzeySW9l2DrNpFSPFVtEJ7gmlNAOYyY9AL+/ugc95eq9FgGb+vr4LruLJsTDilDawZyfHQRO3rdlkGfZeI0BfUWmASiFWxYYBuIJa+PrXM8ZiwqpncfmK6wY02aVIfLwYbHobq37DqWSjHmBTxVrSMQbE06bHIt1tgW3ZaBIQTlMOKHhQr3FStUItkKWlmaoNcyGU7Y5AyDUMXBnFCpZgmCx7jn02kadFsGtUhSCCI6TZ0Nrk3GWJ6tS+gaG12bQcdsBU92plxSxtlRuD4dTHkBXxifY081DhK6msaOlMtwwsYUgmokuWe+wj3zFWpLMiVSxcEyBexIOmxM2KyxTTQEhhCsdy02uDbWKTjjV2WTpxU0PRlufPgAE95zRxQTwCs707yrO8fcbJ2RuSqaJnjXVeufszGshCCSPDo6z1997wB375vhw2+9iF+4evm4lFIc9QJGjwl4GkIwaJv0msZJ5zNN0CqzemK8xA/2zxJGkkYYcf/hAg8dKaBpgp6UzdH5Oldt7OSW/3AJiW99jflbb2W1CQY9mcTo7UVLpZbT2A0Dc3Cw6USbIASJyy5bVvsfScX39k7z5EScFMpXfR4eKbB/uoJc4fsvHMjy1ksG2DWUQywJeFT9cFmAY6IYBzh0IdC0mPWjiTiYpzf/PzFe4uh8HVMXmLp2HOsofi/QtYXPFpf3Zxx+7sq1XLm1h0Nz8fcmFHzjf3+RD1UizPUvA+Dxez7OTdf8Ei8f7qYeRDwyOs/vvGErA1mXRhAxWqjx9HSVB44UmK0slkLkRMhvbHN4xUVrEWsG8STMFUrU5uLMq2p4RONHufOxMe7pHObrN7+a3rSDUoq91Qb3zFdI6jrXdmfoMHSm/JCGlGxwn50+QS2SNGQ8Z3tSEiiFL+M5ulMKfuPzD/LoWJGEpROFEbrXwJARFdNBCcFALc9Wbw6/Hh9rOZll7Y5hetZ0o1DMVnz2TVepeiFb+9P0pF0OzVU4nK+jhIYmQEeR9ao4kY+KIuYrDdZnLW7sCllzYDdPT5f5/9e+hje/ZicbupLomqAnbdOVtJmteIwWavihXHz+CSg1Qkbm4lazlhEHiq/e1Mml6zo4Ol9n/1QZqeKg2NoOlwv6M/Sk4nM5XW7w2NEisxWPoY4EvRkHL4jwQkl/1mEg51L3I6bLDYJIxQHmpddj8/paCLzU/Ih6EOEYOglLJ5Rx6Vw9iKg3lzWCiPH5Bk9OlBgt1FAKTF0wmHNjFpwVJ8DSjkHWNbGbTJ2UbbAm59KVskiY8b5H8zXG5uuETQNyU0+ydd5OF9Uofl6vsU367FMLvrbV5ts4lzhd511yXHXZiVcFlFLq/LFCV0D/RRerX/jXuPZPKeg0ddY3M84bXBtDCPZU6hyueyggVIpZP2TcC9hdrnGgFn/eYejYmkaoFLYmGHQskrrGfBARKMW2pMN612LSCzhYi52KKT8krWtcmHLpsgy8Jm06a+i4uoYA6lIyWveZ9kM2uBbbUy7JZoZ2rWNxUcpFEGfha5GkxzLptWLnIWvoVCNJKYzQhMAUgl7LWNEAjpQiH4TkmgGHsUZMH++xTIYcC0cTRCo+B1IpouY2CV07IW12KaRSFMOIfBAy54c0pDrOSdMAXynGGj5jjYCFnNxT1Qb3zVeZDUIuTru8rbcDXQieqjb42sw8xSUsgpSuMehYjDb8ViBiAdf35vj1oV4SukZSj2nr5vO83v3ZQCnF47OP83t3/x6T1Un6k/2MVWLVbVu3eeXaV/KBKz9Ab6J3Vfv6fqHMPxyd4ztzpVaASbC6CWO1WOrca0vKCrKGzgVJl4SucX8xvlZWQlrX2JZ0UMD+WoPSCSjcphBcnknQZRmYIr7uPSmZ8AKebt5rormeLgQpQ2M4YbPWsSgEETN+QErXyRo6c0HI4eY2S1GT8riA1jcv38olmfO3teKpYKzhc9tUgXvnK4w0fKaaDrKv1LIg2mox8qqLT8jqeLb4w/1jzPrPnWBdTUq+O1dCQ/CKjjQbExbbky7vGug66bavv+X71Jp09aVncLl+mVrh8xOvv3RJ1YuNb93UuP6Nw0ynYm2MpfsebfhMPcP5MpvlQauBIaDLNOgwDfTmc2DANlnvWCR1nQjF0YkKX7vzELon+cCbLuBdV65bscTACyNG5motB2G1iKTi4ZECdz41zXxTC+PufbMcnV/UTnFNnYvXZtm+JtNyNpYiiBQ/PDDDvqmV6cGagMEOl4Gsi6HHJTpSxs/RhXKdSMbP1560zcsuWUO906IiJeUwohxGVJrziN4MsAdS4avYYZWAjqAaRRyq+60kAICrCZx6yF/e+u/s6Hs1Kgr4te4RvEsv4/D9ExAqXvdTm8nbAk8qGjJ2hA0h+M/rernKdvDDuAPM//nBQb726Ak1qJbBNXX++Ocu5itBnUN1j5kgXDYP6gIyuk6heY3tSru8pSdHytCXBG2bcz0rs9AmvIA75oo8UVmZ4n1hyuEfd26iy4wz82EkOTxXY7rcoCtp05Wy6EhY6Jqg7keMF+sM5lycZ9EuUCnFd/ZM8effeooD0/F1YRsaf/72i7nhksHT3u/S/UeKVhA5UIpiEDEXhGQMnU2ujS5g3AuY8gKMZtmeJTSMZqBHKsWEFzDS8LE1jX4rZkYGzWnB0mLb0W4GloImezCQEr/JJoyIA/mzQdia27tMg5d3pOhcImoZSsWEH99fpogDuboQGCIO/lUjybgX4EtJn23SZRpIYpszah7jgg16qOaxp9pg2gsohhFTfsBYwydScGHKZWsytt/rkWRvtcG+WoNAxttP+QGKeP55U3eOa3JJ5pv3l1RQjSSH6h7TfsA6x2Zr0kZrju/Ptg21nfc2zhlO13k/Oa9vCZRS3z/1oT23eLZ93muRPCVj5dhtF7KPbTwzQqn4l6k8txyeamV8ErrGm7uzvL4rQ6QUhTDiUM1jtOGzzrW4sFnDPeOHXJpOcFEiZKQ8wmBqkC6n66xkuyMZMVOfoREuNyIKXoH9hf0UGgXWpNYwkBxgMDVIT6IHQ1uemZ+tz7Ivv49KUCFpJqmFNQ7MH6DQKDCQHKA/1Y+lWa11p2vTrb9aWCOUYfynQiIZEcrY0E5baVJmCiEEgQx4ev5p5r15+hJ9/MWr/oJLei+h6BV5ePph7hm/h9v234Zt2Lz/0vfTn+xHExoaMUtAFzqa0NiY3UiXu9zpyAchDxSrHK57FIKIbUmHLck461KLJLNByLQf4knZKpeI6dKqZYzJZa8XSwg4ZrkkdkRmg4C91QaVUHJZJsFLskl2pFw2uTbOMfdmYgnTQTWvm0kvYM4PCZXC1ASXZhIkV1A2V6ppJD/L6yeQsSM07i1mMHelE6TPYuZ9rj5H0T+56vMC0maaLrcLTZw5p1mqWKvhSCMuU1gtXppLvWDmypG6x/8ameaBYpUjDZ/Nrs23X7LtpNv9wVcewwsWnZ+lp2NppnfZ58tOWfymqCkO2oqagN4IuiKBUBCaGnM5g0cCj7pUbHAt1h2jd9FjmVyeSTCccFh6a3nN63ms4Z+QqXMiBDIOGBeCCNnU5ljYx7F7cH1JMFKhr6FIGBqaBMuXraMOI8VIvkYoFb1pm99+/VY2dif54YEZxgrLOz00gojRfJ2JYj0uv4kkjUBiaIJcIs7Ebe1L84vXrOc1F/RiaBrFMOSrM0V+WCiveN0OuzYbhYFZi5Y5n0lT54KuJJ0ZhzsKZb49W6Qh4+xqj2WwwbVJG0tL6uDuQpmvz8T3qiUEaUMnY2ikmvNSpBSGiJ0xs+mQLWihOJrGpiarx2gGH8c8n8+MzvCa/9fenYfHcdYJHv++VdWnunXfhw/Fjq/EBidOwJAEQiBZjpgJCwwJLMwMVzh2eZZrw+xAAgNhHxbILlkYhivDQ3gCDJNNYAO5CAMEDHZuO45PybZkSbZ19t1dVe/+Ud3t1ulWLFm29Pv4qaflut63q+vtrvd+Zg9f6m+n1z7Btjd0Fu+KQub4JdEwlZaJ3/AybIXWc1fXRrmmrpJ6v49R2+apk3F02mG95Wd5wJt2NBr0FWv/IwGLHckk/2XvUXyG4lW1ldT5TNZHQmytjjCcc/j1yVEGczZrK4LYWvOz/mF2xcd/VuUwFVxWVcEVNVEv7vnr4jcMfEoxajt89kAvdT6Lv2urZ+dYgqTjcmVNlPWREIfTGQYyNqvCATrDAY6ms7wQT5MuKfwotDTry+SKBVr+fHe09qCfjOuScrzKm6hl0uS3aA/6qfKZ+FAYtouddkiYcPfgCA+cGC3+jhXO773q4j1QELVMlgW91mE5rYnbLkfyvx0ztWgM5jPesTK6IMwHBawKe5notOtyNJ0tu0VnuSKmQZVlUue3imPzPBdLFbtCGnhduNZFQoTzhb8dQT9rKoLsHEtwT98QI/nPM5gvoAgaBitCfpr8PrpSGQ4kMxgKwobBC1dulMy7WDDS5z2v86JOfc/D95C0k/TEekjZKTSa0cwoPbEesm6W1TWrWVm5kqAVxG/48Zk+gmaQDfUbqPBNHnk15+QYSg+RsMf3OTOVSX2oftIxOSfHcGaYeC5OMpcknouTdbwvHsuwaK1opTXSis841bzH1S5HYkfYO7SXk6mTpJ00I+kRBpIDpJ00zeFmGsON4x66NZqUnSKRS9Cf6Kcn1kM855UGh6wQrZFWGkLeAHwGBhF/hKg/iqm8hwVvALWSB8T8Y5PX3FmRdtL0xHo4njyOUgq/4acmWEN9qJ6Mk2E0M4rf9NMQaiDsC+f76rn5UnSNi4upTJormmmLtOE3/V7T8lyckcwIUV+U5ZUr8Pm8JokGOWIZbxqz9mj7jJ/zjv4dfPy3H2c4M3N/X0MZdEQ7WF29mpHMCPuG95G0k4TMEEErSMAMoJRiJDNCKpeiwl9BxBfBUAaudjmePE7OLb8JrkJhGmYxUwyQcSaP1KxQVPgqip/XxDjXB+tpDDdS4a/AUhaWYWEq03s1zOJ1TOQSaK2LGe+1tWu5bsV1VAcnz6/bNdrF3//h73nu5HMzvocLqi7g0uZL2dK8hUubLp2UmV8qErkEB0cOEvFFqA5WUxOoOW0BUcpOMZQeojHcOC59z5ev7vwqd+2+a1bHWIZFU7iJlooWaoO1475TDGUU02vQGj99V2O4kY31Gwn7zu2WBIdGDs0qzc6FzqpOfKb3eev8GBjldJd4xfY9JM7wQdxFczxrYwCVlll8cC2osky2NVbztuZaLqkML0iXnky+VYoBHEpl2D4S5/+dGOXxkfHff0FHU5/RmNr7jowELaIBi6HDY3TvOum10DEVzQ1hSt+FzzRoqQrSVBnEMg0cpcg0+HkeZ9L1KBjM2eS0ZnnQT2SKmndHw8EZurV5rXQg7Wqa/T7q/CaO9rqsTRVm1DR4b3sD726ppjk0u1HzwStIHsmMUBOsKabZv3vmEL85doJHf5flR3WDfPOSFTyweTWPDcXIuC43tdZNGqPC0Zrv95zkf3T1FWv9wcswFzKOdT6LjVGvsNRQMGI77BhN0J3KsjES4nsXr5x20NOJBrM2TknhbenYL6UFIopTXa4qTIOK06Sfp8eS3PTsIQZzNm0BH2HTYH9y+lkRCi2rSlWYBi0BH9U+C4VXAdOVyhQ/v4ChZmxVFDUNUq6LgeJNjdVUWYVnq3yYivH/z/81YtscSWUZzNn4DUXYMOkI+WkL+AiZRrEW21KKKp9Jrc9iKGezO54ikx9Yty3gw9GMqzUv3KrNAa+rYM71auEz+S6g4NVyZ/O17bari4Pu+vPh+QyFiVdgUeszi2P3HElleWwoxp5ECq298RNWBP0sz7dotfM16YVa9Zz2Woe0Bf348p2zqAAAGAZJREFUlKI/m2M452Ap8rXzXvoptNBZFgywPhKk2jd1t0Q7/zkoNXNBezrfOrXaZ07bsqt0PCVpNi8W0pxl3pVSlcBFQBvQC+zSWp83IweGVob0qltXTVofNIO0R9sxlcnB0YPF2stSlmGxpWkLa2vX0hBu4MjYEf547I8ciR2ZMcyIL0JTuImGcAMnUyfpGu3C0TNMG1OmgBmgMdxI0ArSH+8nlotN2qeQCWwMN9IebafK7/Xxi+Vi9MX7GEx7g9U4rkMsF5vyfc+kNlhLU7gJgKyTZSg9xHBmGMuwqPJXkXWyU8brTG1u3MwNq2+gJlhTrFXeO7QXy7AIWSHuO3Af7dF2PvLSjzCYGpw2E2+7Nt2j3ewf2U+Vv4oLay+kyl9FxsmQslOknTRaa6oCVYStMIlcgngujkajUDSGG2mLtE0qoIn6o6yuXk1tqJb+RD+98V6OxY/Rn+jH0Y5XiKE1Gk1juJE1NWuoClSRslP4TB+dVZ2ErBBj2TEGEgPYro2LS12wjvpQ/aTa+7liuzb7h/cXw3P1qSXn5tgzuIcdAzt4cuBJUrZXY9JZ1VnMyG+o34DP8BWPKRTUeA9kJQU3U23L/20og+WVy6csKJuK1pojsSM8fPhhth/bTspJ4bpu8To72sHRDlX+KpZXLsc0TPYO7eVY/BiOdibFA5g2/iErVCxo2ju0d1w6LmwLWVM/eI9kRuiJ9aDRxUKrr7/q66yrW3eGn9r0Xhh6ga7RrrL21Vozlh2jL9FHf6Kf/kQ/Q+mhcfvYrk1/sn/a74nC+yqtFbYMi9ZIKy0VLfjN8h7oAT615VPzcp9f9/Pr6I33zvl5Z9IWaeNjmz/GtSuunVXm+DP7eshMM3XobHSGg7ylqYYmv8XBVIb9iTQab0yDl1dHCOYfwAsFkkdjR0nb6XEF26crCC3QWjOYHqQn1kMsO/6732/6i/eCZVgYyqAx3EhrpJV4Nk5PrIekfWqwuTE3yAnX+82yVQXD1nKO5irG1T6mXc2Yo+mwLGoMk/12llSZ3TS2VFZwYcXU/a5rfBZvbqzmouj0hVEJ2+GPI3H6s7lxrYrSjstQzibral5XX8nLJ7QiGc3Zk+I4lDzC13d8me1922mpaGFZ5TLAu56N4UZaKloYSA6wf3g/iVwCQxlUBapoj7aTc3L8uf/PjGZGCZgBmiuasZRFMrCeZ4Nv4ytPpbhzuc1YVZrLcj+iPdo+bWFj0AryltVvoT7U5HV7yzfJbg74OJbJ8buhGDtGEzwbS9KTb0UUNAw2V4Z5RXWUd7bWFTN0AMlckh8+/0NaKlrYtmobAEdjR9k3tI+rl139oguLBlOD3HvgXkbSI6SdNFWBKuqCdbjaJWWnuLT5UlbVbmTUdmjPFyT0pL1Ba5eH/DT6fRxMebPJFGpmw2Z5LY4SjkPQMDDzzdCTjtfFqiedJea4ZF3v8+9OZQkYive2N9BWZmHGfHG1y3B6mKH0EKZhUmFVUB+qx5xiJoVSWmtGMiPEs3GSdhLLsAiYAYJWkKAZJGAFzkpBdEHaTrN/eD9D6aFiRZKhvI4WuvCvOABqoVWD9xr1R4uVVqd738PpYbpGu7ik+RLJvIsFMyeZd6XUZ4GPAxFOFRbGgK9orf9xDuI5716y+SX6m7/8JhFfhPZoO1FfFPAeMAs/IjknR3+yn5yTI+d6y1hmjD/1/Yk/9P6Bw2OHybk5QlaIy5ovY0PdBupCdcUmygW2a3MidYKBxAADyQGOJ49TF6xjdc1qmiuaqfB5tbhhX5igGUQpRdpOcyxxjL54XzEjUdASaWFt7Vqaw82EfCH8hn9ceBknM2lgn0LNcTm01mScTDHc0i++4t8lX4w+wzdlLZvt2pjq1FzbaTtNyk55zbDzX7KGMorNufviffTGe4sZoQpfBVWBKsYyYxwaPcRYxisb8pk+6oJ1jGZG+em+n3I0dnRcuO2RdpRSnEyd5PKWy/niK79Ipf/cmUN7MSlm5Pt3sHNgJ08OPDnuoXsutEfaT5uBTztp+hP9xdYL62rXFWueCk39C/fiSGaEw2OHsV2b1TWrWR71MvKFe3Lcg8CEh4LC/xO5BD3xHlK5FBsbNnJR/UVknAxD6SF64730xnrJuFPX7lRYFayqXkV9uJ6+eB898R4+fsnHaapomtPrNt8KXUXG1V5rOBI7whMDT9CXGD/ydsbJ0Bfv41ji2KwKLR9762PF2uq59Hjv45O6ucynpJ3krt13sW94H+AVqK6qWcW/Xf9vZyV8V7vs7N/JA10PEM/F2XbBNra2bsU0TJK5JI8eeZSHDz9M12gXvfHeKVslKBRRf7Ts35KaQI1XWByoGleQk7bT9MZ7GUgOeIVqrjOudZFlWNOm+WQuOWXcNIq1yz/AYPg15LTmypoo6yLBceFOZABbayLFAdOmm7nEcR0OjByYdaF2dbCatojXx3n34G7ueOIOkjnv+7E+VE97tJ2IPwLaK9Q7GjvKn/r+RMgMccPqGziROkFPvAcDLzM5kBygP9FPXaiONTVrqAxUFmvae2I9uLhc3nw5a2rXMJAYoD/Z733uA09xqPYLLBvOcaihhsjQXWz0HWE0PTptoXrGyeA3/Lx7w7t53YrXsbJyJbsHd/Pw4YdpDDfy9jVvn9TqpnCtDo4eJOfm0Nor9DkaO8p3n/suA0lvLvAPveRDbKrfxCd+9wli2Rhvu/Bt3HL5LbMupOsa7eLmR26mN95LyAoRMAOMZccmPTNds+wa3rzqzfhMHz7Dh6lMAlaA6kD1uFaGAI52OJE84bXIdFLF7/9CK7lJzy8oLMNiWeUymsJNZJwMB0cOMpwZJutkCVkhOqIdWIbFvuF9xeeVtJ2ma7SL7rHuaVsARf1RVlaupLO6k86qTizD4oFDD7C9bzutkVYuqL6A48njHBw5WCxEL9zvjna859b882vh3i0UVJeK+CJsatxEpb+Sk6mTJHLjW49mnSy98d5iGNMxlUlVoIoVlStoibRgKpO0neZo7Ci98V40unj9TcMsthKcmEZd7ZK209japjpQTW2w1lvnpMnYmeLv/ZlWfpnKpCncRF2oDoUi62Y5mTrJSHqk+ExQeM+73rNLMu9iwZxx5l0pdRvwD8B3gXuAAaAJeAfwt8AXtNa3zlF8582Z9nmHUyWREV9kXh4uxem52mXf8D5yTg5DGSyrXEbUH13oaC1ZtmuzZ3AP+0f2A6e6XJRmfgsPQVNljEsfkLJOloMjBzkwcmDKLgWlCrVM7ZF2rmy/kpZIy9l4u0LMiuM6/Lr718VWELXBWm5cd+Npj/vobz76ogsaNJrBlFcDnnbShK0wQSvIUHqIiC+C3/QTz8bJulnaIm2sq11HR7SD9mi7l7n0RQCI+CO0RdoImGc2Mvh04tk4vfFeov4oTeGmaWvEcm6OfcP72De0D1ufykwfGjnEj/b8iBtW38CtL7+VRC7BWHbmxoAZJ8MTA0/wx2N/5NDIIXriPSyvXM4HNn6Aa5Zfg6EMnj7+NLf/5XaeH3z+Rb2v1y5/LRfVX8SdT91JTaCG1TWrT2UQ4z3F77YKXwUd0Q42NWzi5k03T9sNyXGd09YWTvTAoQf48K7nSEWvBe2wJf417n3jv8yYWT4WP8YdT9zBr7p/BVCs0bQMC9u1aQw1ct3K68ad42TqJL/v+f2UrTPW1q7l01s+zb0H7uX+g/cDsLpmNVuatvDjF37MJU2XsLp6NTk3V2ylVsjU1gZraY+2U+mvLHa101rzyJFHMJXJnVffycUNFxevz2h2tFhoe/eeu/n+ru+fNuM5F6K+KAk7ManwYDr1oXo6qzqnLAQBr9b30OihcZnpoBnk8pbLOZE6QddoFw2hBlZVryLqj47LlCsUftPvLYYf0zCLv7O1wVrqQnW4rkssG2Pv8F6ePvE0aTtNQ6iBCl/FuEIsS3mtptoibVQGKglZIRztkLZPZaYzToa0nWYwPUj3aHexoMYyLNoj3ndJ4d6xXbtYaGe79qR4K6UIWSFMZTKcGWYwNTiupt9v+mmtaGV93XqaK5rH3ROF1pBwqmtn6XnBKyjrS/TRF++jL9HHcHq4GNf6UD01wRqv8MPJ0VLRQmd1J1e0XyGZd7Fg5iLzfgy4W2v9ySm2/U/gRq1165lGdL7NReZdCCGEmG/ve+h9Z9RKoCZYQ0e0g4sbLuaq9quwlMWjRx9lZ7/3Gxg0g1y97Gpe2vjSBZ2+8kzd+dSdfPvZbxP1RWfVTasp3MSGug20Rlp5/NjjdI12EbJCWMoilovRGG7kg5s+SGPo9DNwlHr25LPcveduErkEW1u38uUrvkxNsKa4vbQ128SxZeaS1pptv/4UfwnehD/5BD+/ZCNbmreUdezhscPsOrmLgyMHWVm1kld3vJoXhl7gG099g10nd43bN+QLsbV1K1e0XeG10EBRGaikNlhLR7SjOEbMt575Fv2Jfm657BbCvjA/3ftT/umZfyLn5saPp2EG0WivBUKsh2QuOa7QtzXSyu1X3E5HtGPG9zCcHuZI7IiXaXQdbG2TttOMZkanLOBpCDXQFm0j4ouMyxi62sXFBU3x70JLxa7RLg6MHKAmWMOamjU0hBvwG37iuThHY0fJOlkurLmQ5ZXLi2PTRPyRsj6748njHBo9RCwbY2vr1rKOE3NL+ryLhTQXmfcEsE1r/cgU264B7tNal9VJVSnVAXwdeC1e8/tHgI9prWfuPO4dGwS+ALwTqAaeBj5d7hzzknkXQgghFg+tNT9+4cccGDlAR7SDmkDNjPsbymBD3QYuqL6gmHF2XIcHux8sDtjZEG7gr9f89YsegHEkPcIzJ57hlW2vnHWN+VzaM7iHN/7+J1xZ7ecHr/rMgsVDiPORZN7FQpop815uZ6M/A1vwMtoTbclvPy2lVBj4DZAB3o03vss/Ao8ppTZqrRMzHQ98D3gD8EngEPBh4EGl1Mu11k+XEwchhBBCLA5KKW5ad9MZncM0TF7f+Xpe3/n6OYlTdbCaqzpmNdvuvFhXt46HXvWu087QIoQQ4vwxbeZdqXGT/f5n4F6llA38jFN93t+G1+d9W5nhvQ/oBNZorQ/kw3kW2A98APjaDPHZBNwI/K3W+gf5df8O7AY+D1xfZhyEEEIIIRa9C6ovWOgoCCGEmEMz1bzbMG54SgV8Ob8wYf2zpzlXwfXA9kLGHUBr3aWUehyvAGDazHv+2Bzwk5JjbaXUPcB/U0oFtNYzj3AlhBBCCCGEEGfGdV1XGYZR/pzbQpTBdV2FNwPplGbKcH8emOsbcgNw3xTrdwNvLePYLq31xDmpdgN+YFX+byGEEEIIIYSYF0qp/lQqVVVRUTH/0xqIJSWVSgWVUv3TbZ828z5PU7/VApPnE4EhYOZRZmY+trBdCCGEEEIIIeaNbdu3dXd337lixQpCoVBaauDFmXJdV6VSqWB3d7fftu3bptuv3AHr5tJUN3c5c6WoF3OsUur9wPvz/40rpfaWEdZiVw/ICJliKZJ7X4jJJF0IMZ6kCbF8po2bN29+8Mknn/zIwYMHP6e1bgaMmfYXogyuUqrftu3bNm/e/OB0O53tzPswU9eQ1zB1rXqpIWDZNMcWtk+itf5n4J/LjeBSoJTaOdP0F0IsVnLvCzGZpAshxpM0IcqRz2BNm8kSYj6c7VKi3Xh91ydaDzxfxrEr89PNTTw2CxyYfIgQQgghhBBCCHH+O9uZ9/uBlymlOgsrlFIrgFfkt53uWB8lA9sppSzg7cBDMtK8EEIIIYQQQojF6mxn3r8DdAP3KaW2KaWuxxt9/ijw7cJOSqnlSilbKfXZwjqt9dN408TdoZR6r1LqNcA9wErgc2fxPSwG0o1ALFVy7wsxmaQLIcaTNCGEOCcprc/u4IhKqWXA14HX4g029yjwMa11d8k+K4Au4LbSUe+VUiHgi8CNQDXwDPBprfVvz0rkhRBCCCGEEEKIBXDWM+9CCCGEEEIIIYSYHZnWYAEopf6jUurnSqnDSqmUUmqvUup2pVR0wn41SqnvKqVOKqUSSqlHlFIXT3G+LymlHlJKDSqltFLqPdOEW6eU+l9KqUP5cLuUUncqpRrKjHdQKfUVpVRf/vg/KaWunLDPhfkwnlVKxfP73q+U2jSLSyQWqcV87+f3687HY+Ly5jIvkVhilkCaOKNwxNJ0HqeLcsP5r0qpX+TTj1ZK3VrO+YUQQjLvC+MTgAN8BrgO+BZwM/CwUsoAUEopvEH6rgM+CrwFb8C+x5RS7RPO91EgBPxyugBLzncj8BXgP+Rf3wHcn99+Ot8D3gd8Fngj0Ac8qJR6Sck+rwNeDfwL8CbgQ0AD8Gel1CVlhCEWt8V87xc8CLx8wvLvZYQhlqZFmybmKByxNJ2v6eK04eS9D2gE/m8Z5xRCiFO01rKc5QVomGLdfwI0cHX+/9vy/391yT5VePPZ/+8Jxxr511X5Y94zxfkvzG97/4T1H8yvX3OaOG/K7/c3JessYC9wf8m6evLdMSbEexj44UJfe1kWdlnM935+fTfwo4W+zrKcP8tiThNnGo4sS3c5H9NFueFM2M/K73frQl9zWWSR5fxYpOZ9AWitT0yxekf+tS3/ej1wTGv9WMlxo8Av8H6wSs/nlhGsP/86NmH9SP71dPfC9UAOb8T/Qrg23oj/1yqlAvl1J7XW4wZSyMd7H6fem1iiFvO9L8SLscjTxJmGI5ao8zRdlBtO2fsJIcRE8sN57rgq/7on/7oB2DXFfruBZUqpyCzPvxv4HfAPSqlLlVIRpdRleE0ef6W13jPz4WwAurTWySnO68crZZ6SUqoWuIhT702IUovt3n+TUiqplMoopbYr6e8uZm+xpIkzDUeIUud6uhBCiHknmfdzgFKqDfg88IjWemd+dS1eU/OJhvKvNbMJI18b/nq8Zo07gBjwZ+AQXj+x0zldfGpnOPYbeNMC3lFufMXSsAjv/V/g9Xm8FrgJSAP3KqXeOZs4i6VrMaWJOQhHCOC8SRdCCDHvJPO+wPIlw/cBNvA3pZvw+kFNOuQMgvsO8DK8/ltX5V8vBf61ZAAYUylllSyFe+RFxUcpdQve4C8f0VofOIO4i0VmMd77WuuPaq1/qLX+vdb6X4HXADuB288g7mKJWIxpopxwhJjJeZQuhBBi3skXzgJSSgXxRjbtBK7VWveUbB5i6trsQknyVKXNM4X1BrwRU9+ltf621vp3WutvA+/CK2l+U37XR/H6MhaWz5YZn6GJG5RSHwS+BPx3rfX3ZxNfsbgt9nu/QGvtAD8D2pVSLbOJt1haFmOamEU4QkzpPEsXQggx76yFjsBSpZTyAT8HLgOu0Vo/N2GX3XjTrk20HjiitY7PMsjCvKc7Jqz/S/51HV7J9geA0nlUj5XE56+UUuEJ/RzXA1lgXK26UupdwDeBr2qtvzjLuIpFbLHf+1Mo1AJNVUMkxGJOE+WGI8Qk52G6EEKIeSc17wsg38Tqbrwmtdu01tun2O1+oE0pdVXJcZV4Jb/3v4hg+/Ovl01Yf3n+tRdAa71Xa72zZCn8KN2PN3/qW0viYwFvBx7SWmdK1v8V8APgu1rrT7yIuIpFarHf+xPl93sr3oNk/3T7iaVrkaeJssIRYqLzNF0IIcS8UxNm9RJngVLqW3j9qL4I/HLC5h6tdU/+h+sPQAfwSbzmX7cAG4FNWuujJee7CmgAmvEGh/s/wG8B8v1uCz9oe/BqAb8AvACsBT6HV1Oy/nSl1Eqpe/AG4vok0AXcDLwR2Kq1fjK/z5XAQ8DzwEeA0ulQMlrrp8q5RmJxWuT3/jvwpid6ADgKNAEfBl4JvENrfU/5V0osFYs8TZxxOGJpOo/TxWnDye93KbACrxLtJ3jdq36a3/zAFDM5CCGER58Dk80vtQXoxmtCO9Vya8l+tcD38fp1JfH6WW2a4ny/ne58E/brAL6H96CVzr9+B2grM94h4Gt4pdNpvFFYXzVhn1tneG/dC33tZVnYZZHf+y8DfgMM4PWDHAUeweunueDXXpZzc1nMaWIuwpFlaS7ncbooN5y7Znh/Kxb6+ssiiyzn7iI170IIIYQQQgghxDlO+rwLIYQQQgghhBDnOMm8CyGEEEIIIYQQ5zjJvAshhBBCCCGEEOc4ybwLIYQQQgghhBDnOMm8CyGEEEIIIYQQ5zjJvAshhBBCCCGEEOc4ybwLIYQQQgghhBDnOMm8CyGEEEIIIYQQ5zjJvAshhBBCCCGEEOe4/w9h/HusrE0IQAAAAABJRU5ErkJggg==\n",
          "text/plain": "<Figure size 1008x288 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "3bfe8e3045a04953bf91107d304dba6c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3c1572d6664a4d62a91303e27722f2e2": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_20396f565f134585a7549288063fffcd"
      }
     },
     "3d35402ed9534de5b208f4244b0dd58a": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "3e343a5d08cd4492aebcd0be057b463b": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_da0506863ee24dbf9695c719bb6651fe",
       "outputs": [
        {
         "data": {
          "image/png": 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T3OSaT0PMWDOF8HgbAC21Pb4Lo2HL7lLfxreVQdigmDL5gcEiFwSGI0ZeemGFJEPRFvB4pl9r5PHIvy9XP3z0P5CwGhJXD+8u2F1La10vcZnBLLgynrV3p40TRUNkrYpm19+KaKnpJnzQrGIYvzDpdHce+lFNh4Yy6ULY3+M8zzNRKC59lDBSKBSKmXDqLVns/tntULZDNoz80zXw0KsjK/KXIOFx/pzcXUdvxwD+IXMnCKZLU2UXu/7m3eBgtsnfVcvd31yG0aSfU1EEUhgJj8CNjihbjRTiowiN9QeguaqbpJwwb6fwTmjqiKnCVLSVSnvrIfzCZBRnKK3Oz8t1Q5LBPQDd9TLtcDJc/VC+C7oboKMSjr8AnVUj+2/6xfC3wiOoKmgjeUEY138m18vJxpKxPIo9LxVzbGs1G+7PxGQZ9dhji5A1U/3dYLlwa+YaK6SRRJ8SRgrFnKOEkUKhUMyE029D4hoZIVpwDwQnwTN3w9bvwsefOd+zmzPC4uSDeGttzwUljFKXRPCpn6+f8+vUl3ay+ck8tj99mms/lT3nUbOolJEH9pgE47jIhsVmJDIpgEPvVBAc6ed7qlVYmm+W3X0dMjI0WuxbQwdT6YYiRl6ipMMGDxUTCyMhYNcvYP/vRs4Fsi5p07fl35bJf0y0qKW2B3vXgM8i0OJvZN7aGE7urqPseDORiQGgQURCAAujowgAaVpxIQujMimMHL1KGCkUc40SRgqFQjER7/8Aag9Jd62Q5JHtbWXQVADX/3hkW8IKWPoQ7H9Spudcoil1YXEydau1toek3GlEKOYYg1GPwaif8+ukLo5g1W2p7H+9DP8QM2vuSEObII1rNrDYjIREW3E21+Cf5D0SecuXF/HOb/N494/57H3ZTL/dhfDIJqtGix6TxYBOr6HpNJJyw8heH0twaKpvlt3to6y6h/ALGUml05vBZBt/3NDfS3s5JK/zfu7GAtj+75B6lbQ9j8iSaXnmAO/jgaoCKaASsr2k703AlQ9kMW9VNCf31tHZ3IfwCI5vq+EE4Wz0v5pse+uIIQXgdnlwDbjRdNrYCNN5wO3y0FzVDYBDRYwUijlHCSOF4ixoKOvkyLuVmP0MbHp4/gVVc6E4S6oPwp5fyu+f3ABLH5HpQ/6RMvUGZN+W0Sx+UNZEnHgR1nzh3M73HGH2M+Ifaqal5vI1YFh2QxI97f0cfa+K7lYHVz8yH4Np7kTZ6itNuDf/BWI+6XW/1d/E7V9bzMG3K7B3DWAeFEICaV890CeFUn+fi2PvV3P8/WruuSeDCICnbh9JBzQHwJJPQOaNI3VBo626hy8YCl35Iz2MvH3uBSWAppcRo4mo3ie/3vrE2IWHSagqaCM8wR9bkO/RSk3TiEkPJiY9eHhbV2sfm399gBMtN5Pd2zy83Tng5ulvf0hftxNNgw33ZZK7Md7na802LTU9uF0egiKsdLc5LrjaPoXiUkMJI8UFTf6uWuyd/ay89fzXbDh6nbTW9BCdFkRf9wA7ny+i4kQLeqMOt9NDysIIUpdETH0i5CrgrheKiM8MIWNF1BzPXDFt3C5462sQEAsPvgRvPiYFjy1isFjbLZtMntnYMyobYpfC0Wdg9T9e0AXdZ0N4nP9l7UynaRob788kKNzKh6+WEJ7gz7Ibkmf/Qm4nCA+pwUVg3QMxv5xwqMGoZ80daRPuH6K9oZfnvr+fuv4sItKvkREjj1vurD8BhQ9AWIZsEBueKfsHabqxwsUvbMSVzlt9EUiHxqD4KYTRAfCPkmmoPtDf56K+tNO7w9w0CQyzkrEkhI82p9DTVIv/PLm9rqiDvm4nizYl0Fzdzd5XSkjMCSMw3HrW15wJjeXSeCFpQRgnttXgdLgxWdWjm0IxV6i/LsUFS/nxZnY+Vwga5GyIwxZkxu30gAZ6wyx1VPcRj0fwzu9OUF/SidnPgMcjEG7BmjvTyNkQx6s/P8yel4tJzAn1aeX4wJvlnNxdx8ndddQVd7Dq9lQstkvb6vmioCFfCqC2cmjMg3ufguhc+OwH8uFRp4feVum2FZXt/RxLPgFv/xPs/72MLgHoDJBx3XBjzoudsDh/qgraOPVhHWlLIzGa9DRVdnP0vUoaK7owWQ0YjDrQNNxODwN9Llwuz5hzJGWHcvUnJ/g3vAjQNI0l1yUSkeg/JhIxI/p7oCEPHB3gtMvam7qjcOw5cDkgIFo2bg1LP+t5B0f5YbEZaWvVwSdeGbvT7YKTr8G+38G735Lb/KPgtv8Zmy7nFyrn2tPk3ZFuiJDkKYTRfkhYOeUCQlNlF5ufzMPZ70Z4xPRMJiYhaXEcH21uoarURfZgu6XKglYMRh2r70ylr9vJ8z/Yz47nCrn1y4vQNI3ejn5O7q1j3poYAkItZz2HxoouXANu4jJDvO8v78IWbB521OvrcSphpFDMIT79dWmalgA8DlwLaMD7wFeFEFVTHJcE/ApYDEQCvUA+8FMhxOYzxuqA/wd8HogGCoEfCiHO+ORWXMp0tfTRVNmNs9/N7heLCIq00tnUR+mRJhZcGc+bvz6G0WLg5i8sBODQO+UEhFnJWhUNwJ6XikmYHzrrtQ+HN1dQX9I5nELjdnlYfUcqQREyN/+Kj2fy+uNH+ft/HcHR60Rv0BGXGULW6uhxjR3rijs48l4l89fGYLEZObq1ivzdtUQmBXLdp3MIirg0Hp4vOoSAv/+DrIkIS4P1X4P5t43s1w0KXlsYLHlw4vPk3g3vfx+2/MvY7Zv+DTZ8Y9anfT6YtyaG0qPNbHvqNNueOj283exnICk3DJdT1mgA6PQ6LH4G9Maxixnh8f7ndM5zRfw832tdhmkpgZL3QXik5XveyzDQPXaMziBTNc0BkP93aUCgO/t0PU3TCI210VbXO36n3iCNRBbcIxcJWoog68bxgt4aKufeVgapV058sZBkaVLije5GKZpWfGbKORcdaMTeNcD8NTFYA0xEp02/Wa43QhNDsenbqKo2MyTRqwpaicsKwWDUExCqZ/Udaex+oYg3f3WM+HmhHHmvkv5eFye217Dp4fn4BZjwuD1EpwV5TXFzOd30tPUTHOW9juvg2+W0N9h56EdrAHj/zycpPdI0crzLQ+riCKz+cuHM0etU9wiFYg6ZUhhpmuYHbAP6gUcAAfw7sF3TtIVCCC+frsP4Ay3Ad4AaIBD4LPCOpml3CyFeHTX2R8A3gG8Dh4H7gJc0TbtFCPHOtN+Z4qKivaGXHc8WUlfcMbzNL9DE7V9dwtu/OUHxwSZCY2zUFnVgNOtlxEYIDm+uJDTWRtaqaPq6Bzj+QTU97f2zKowayjo5+FY5mauiWD1Bqkp8Vgg5V8RSfbqdiMQAnP0eCvc3kL+7loVXxRMS5Ufp0Wa6Wvro7RwgMMzC+nszMFkMpC+PpCKvlcObK8jfVcu6u89+VVgxA0rel1Gi238joz4zxRoMXzk61mXrja/IQvcrvn5JpNcFR/nxwPdXUV/SQW2R/Ju1BpjIXBl13ovVL0ga8iHvRfl9a+mgWJDmCBgskHOnfNkiZGRI0+T3Q9GYG38+q783oTE2ig42Tl6vEp0rX94YSp/rmySVDqQwsrfImrwzDRWq98uvCaumnG/VyTbiMoK58sF5U46dDpqmkehfRGnTUjxuD91tDjqb+lh41UhNUe7GOAYcLvJ31lJ9qp2olEBW3JzCh6+W8M5vTwyPW3pD0rhURnvXAG/9z3Gaq7qJSgkka1U0wVF+RCQEYBkUOm6nh67mPvrtToxmPaVHmghP8CcmbTAKqUHmyujhhQZlwKBQzC2+3ME+C6QCWUKIEgBN004AxcjozoRJz0KIAuDTo7dpmvY2UA48Crw6uC0SKYp+IoQYaliwXdO0dOAngBJGlziHt1TSXNXNqttTScoJw2DSYQs2Y7IYyFgRyb7XytjzUgkgi4k7GuzSOcjpoaW6B9eAm4ZyaWnaVj+ZVp8+p/bWYbQY2Hhf1qTjzrxpDzhc7Pt7KSe21QAQEu1HdGoQFpuR3I1xww+QkUmBRCYFUlfUfk4aVComYPcvITAOFtx79ueyhY91pVv6kOxzVHNIutddAmiaRmxGCLEZ3lOAFKNoK5VuhSAFwhVfh2WflN8brVP3QprMNW4GhMbaGOhzzbwX1ej0ucmE0bBld+V4kVW9H/QmiFk06aW62xy01/cyf23M9OfpA4lhdZzqXE1DeRetg4YiiaNS9XQ6jeU3JrP0ukTaG+yERPuh0+uIzQim9GgTZquB8hMtHNlSiU6nEZEYgKPXSX+vi/xdNdi7Blh6fRJlx5qH+2yFxtq4/7tSEA65B7ZU92C2GXE5PeRujB/Oghiio9EOjLXs9ngE+18vIzEn1GsqnhACR48Ti79RGTYoFD7iizC6Ddg3JIoAhBDlmqbtBW5nEmHkDSGES9O0TmD0ssf1gAk4s/nHM8D/aZqWIoTwsROd4mJDCEH1Sdmwb/mNyeP2py+LYt9rZbTW9pC9PpaTe+poquzC5ZQ1Cx6PoKmye7g7eGejHbfTMy51Z6bUFLYTlxk87bxuk8XAhvuzyNkge3iExtomvTklZIey77Uy7F0D+AWazmrOimlStgOqPoQbfgIGE611PdSXdBIYbiEyKXDC+q/T++qx+pumjlDOvw3e/gYcf+6SEUaKaZB9u3xdIITGyHqhtvoZ9qKy+iiMhi27K7wIowMQu2RKUVh9Ui4WJU7Dnns6JMR0o5W52fNiMR6PIDDCSnDkeCGq0+uGe3gBGM165q2WYi1pQTjOfjeH3qkYc4wtyMQdX1tKVEogq+9Ipae9nz0vFg/fq0DevwCaqrox+8l7TFTy+J5KQxGm0RGjjkY7R96t5OjWKtbelUbGiijMVgOaTqOj0c7uF4upLWwnOjWQhZsSiEoOxD/Ugm4O7eUViosdX570coDXvWwvAD7my0UG64d0QDgyApUJPHbGNfqBkjMOLRj8mo2MMikuQVpre7F3DUzYlyIowkpUSiBdLX2suyed4oONsmC1343RosfpcNNQ3jns3uPxCDqa7GNuYtOhu81B/s4aVt6aSm9HP10tDhZdPXMXJF/nkTBfCqPqU23jVgsVs4yzT4ohNCmIPvqNjBYtfZjTH9Wz49lC3INmAaNXd0cz4HCx/ZnT4IGbvrBwcnFkCYT5t0L+K4Pi68JpjKq4/AiNHRRGdb0kZs8g7Xh0xMjmgzBqPi2btoI0lzj6NNQdkc6NU1B1shVbsHl4zrONOSiQqyKf5WDv5+hudbBw0/StuXU6jWs/lcOiTQnoDTrMfgYsNiNGi354MUzTNAJCLfgFmYbFEIxEjJqrujFZ9Jj9DF5riMxWA5oGfT0Dw9t62h2AFLp7Xy5h78tjH6HMfgYWXZNA+bFm3vuTfJwymvWkLA4ne13shIYPCsXljC/CKBRo97K9DfD1r+pnwNcHv+8B7hNCfHDGNTqEEOKM49pG7R+HpmmfAz4HkJh49vadivPD0IpgwvyJb7DXfioH14Abk8VARGIATRVdOPvdxGUE09Zgp76kk8aKbmIzgqkr7qCtrnfGwqhwfwNH3q0iNNZ/+OE4PmvubyDhCQFYbEZqlDCaW9wueOEhKNk6sm3JJ+CaH3J8dxt7XiomLiuEDR/PpPBAA0e2VNLRZB+3ilyZ34rHJbAFmdjyhzxu/fKiydPKFt0n60yKt8L8W+bozSkUU2MNMGENMM487djXVDpriHxt+5F8jSb9Wlj9xUkv43F7qDndTsriiLlLBbNFMN/wHPO++780VvUMR9Omi06njTPamWicGCWMPO6hVLpu9EYdEYkBXhsGazoNs82Io9c1vK2nvR+Am/5xAW11vfS0O+jvcyEEGIw6slZHY/U3sfbONBrKu+hotNNY1knp0WaK9jdy+9eWnJN7m0JxMeFrbtCZggWkO52vPAH8Dek29zDwnKZp9wgh3hp1rmlfQwjxB+APAMuXL/d2vOIioOpkK6GxtklTOkavoEUmB3JiWzUetyBzZTQmPwMlB5vweATz1kRTX9pJa10PGcysP1BLtXSHOrGtmqBIP/wCTYTEzG6Ovzd0Oo34eSFUnWpTTfzmkve+LUXRdf8OSWvBHATh6fT1DHDgzXwSc8K4+QsL0Ol1zF8bw5EtlVQVtI4TRridpdMAACAASURBVOXHW7D4G/nYt1bw918e4bXHj7H8pmSW35iETu8ljTNlgyysL9+phJHivBMaM4EznS+YA6Vrnsc1uTAC+NhfpRX5EJoGKRuHU+v67U4GHO7h3Y5eJ4X7Gig/3oxzwEO/3TVnaXQA+IWDx4U20El06hxeZxBNrw2LIRhJpWtvtKPTNBZP0qPJ6m/EMTpi1OYADWwh5kn7LOn0OmLTg4lNDyZ7XSzr783khf84wLanTnHfv61UhikKxSh8+Wtox3vEJgTvkaRxCCFqkK50AG9pmrYD+AUwJIzagBBN07QzokYho/YrLkGcA27qSzrJ3Rjn8zFRyYHDN5aolEDMfgaK9jcCEJcZQnCkdeY3fGQRrMGoo6mym9baXlKXzOFq5RkkZIdScrjprCJeigkQAnb+VPYXWv1FWPvlMbuPbKnE2e9m7d1pw8ImONKP4Cg/KvNbWXhVwvBYt8tDZV4LaUsjsQWb+di3VrDrb4UcfKucAbuL9fdmjL++3igtlyv2zOnbVCh8ITTGRuH+hpktwmiajAT1Nk8tjFI3ypcXejv7efo7H8n+dKPQ6TQSc8PwCzBitBhIWRju9fhZwTbYlNveOnlPpllCp9PGpdIZjDpcTg8eIYhKGl9fNITF3zjGfKGnvR+/QBN6bwsxk2A067n6kWxe/cVhPnylZNbd/hSKixlfhFEBsgboTLKBkzO87iHgq2dcwwykMbbOaKi1wEyvoziHOPvd6AzamA/pAYeL5qruMStk1gDjcLO6uuIO3C7PhPVF3ohMGrR91WT0aKgw3hpgJCDMQmisP83V3ZOcYWIG+lx0Nvex9Pok8nfVMtDnIn7euUs1SMoJQ2/UsfflYm798mKvKRUKH/C44chTULUP0V5Ff8RK+rrsBBf/EfeCBznQ+yhl3/2IxJwwUhaFIzyCvB21ZK2KJix2rCBNygkjf1ctzgE3xsHmvTWF7Qw43KQulg9VZquBax/NQafXkberhsXXJuAf4qX5Y/J6+OCH0Nsy1rVOoTjHhMbaGHC4Oby5YrgptdGsJ2VRxLD5ixCC5qpu+ntd4z+j/cKkMLLOXExUnGjB7fSw9q50zDb5OKLXayRkh507A5qhv8PeZgj3sqAxy+h0GsI9NpUuIjGA+lJZIxvpxXhhCIvNSFdL3/DPPe0O758zPhCTFsTiqxM49n412etjiZxEkCkUlxO+CKM3gF9ompYqhCgD0DQtGVgH/Mskx3ll0IhhPVA6avMWYAB4EPjBqO2fAPKVI92FT+H+BrY9fQqETHuz2IwIAU1VXXhc47Mcr/rEPDJXRrHvtVLMNgOxGb53jg8Is2DxN2L1N2K2GgiLs2Ew6YhODRpuXlh6tGnMgyzIfPW8HbWkLAqfMO2gZdCuNSY9CLfbw/H3q89pDrYt2MyGj2ey/ZnTHN5SyfKbks/ZtS8lBvY/xYcvnqLZs4pO1230u+X/t59lE8bjwXQ2VxOTFkTB7lrytstgts6gseKWlHHnSsoN4/i2amoL2wkIs9BS1U3hgUYMZj3x88f+bqy4KZmi/Q0c3lzJxge82LsnXyG/Vu69oFzKFJcf0WnBaDqN/W+Mvb3u+lsR8fNCMJoNdDbbaanuQdPg07/cgHm0M6c1FEz+YJzZgzlA2bEWAsMtLL424fylDo8WRucATa8N9+HTNPm9f6gFa3MfmsakKeUWfyNNFV3DP/e098+4Jgpgxc0pnN7XwEd/L+W2xxar9G2FAt+E0R+BLwGva5r2HWQt0I+AauDJoUGapiUhxc4PhRA/HNz2fWQa3l6gAVlj9GlgJfDA0LFCiCZN0x4HvqVpWjdwBPg4sAlpCa64wBhqhtfb0U9NYQcH3yonNiOY6NRA2hvsDDjceNweFl6VQHxWCEbLiEA59E4FO58rpORwIy3VPdz8xYVjBMxUaJrG8puSh2/SOr2O6z+TS0C4vEGHxdpAQHt975hVsLJjLex5qZhj71dx+9eWEBBioaPJPsZGeyjSFJEQQFxWCKmLIibN3Z4L5q+LobaonQNvlhGXFULMLHV5n2tcTveg7Xr4+Y10ufo5/c4BCvo+RnxWCBnRfgSFGjBpvVRX6uhq6eOWLy0iKTcMR6+T5spuBAL/YIvX/+vYjGAMJh3bnjpFX/dIGsv8tTEYjGN/bwPDrcxfF8vJvXXEZYVgNMv9eoNGTEYw+tglss6oQgkjxfklPN6fzz2xAfeo6EVPm4NTe+upPt2G8Dgw+xnI2RBHwa5amiq7SJh3hhvdVGl0kzDgcFFT2MaCjfHn94F8KJWut+WcXG7IKlsImZEoPAKdXmPequgpPzctNiN9vU6GKg662xwzcxUcxGQ1sPymZPa8WEz1qbazOtcQQghKjzQTmxF8UbWdEELQUNZFzek2Fm5KGLsIoLismPJ/XgjRq2naJuBx4GmkIcIHwFeFED2jhmqAHmnLPcQRZMrcfUAQUhwdB64QQuw941LfRjrWPYYUUIXAvUKIN2fwvhRzhLPfzZYn86gpah8TCUpbEsE1n8oe96Dojes/m8srPz1E9al2lt6QRPKC6acULdqUMObn5FE56KOtaEcLo4LdtfgFmXANeHj5p4dwuwSufjfXPJo97ALXUtODNcCIX5BpsIGl75Gs2ULTNDY+kEV9SSfbnz7Fvd9e4dO/61wiPGLKm3bRgUa2P32aNXelsfS6pHM0My8ceYpT7cuIiILbv7ZkzK7sM4ZabMYp0zj1Rh1pSyKpOtnKqttSSVsagcXfOGFvo+U3JnH6o3re/WP+mO1pSyO5/jM5aKrOSHGBYDDpxzwEmOP8x9XHOXqdFOyqpbH8DGG04ZvQ2zTja1cVtOFxCVIXn+eU0iFx13ACmk5DWJqsB5wjdPpBYeQWoJNGDDqdxtq70yc+SAh47R+x2O/E4zLi7HfjcQtcAx78Q8/O+j/3ijhObKtm6/+eJCBsJPpnDTCRmB1K/LwQQmJsk/Y+Kj3ahF+AiZj0YA5vqWT/62UsuS6RtXdN8p4uIBw9Tl574uhwg1+PW7DqttTh/cIj6OnoJyB05tFRxcWDT5JYCFEF3D3FmArOcJETQryBTMXz5Rpu4N8HX4oLECEE2546RfWpNhZelUBonG24L0NozOTNS0djthq49SuLKT/eTO4G300XfCUoworZz0DejhrSl0diMOrpaLRTc7qdVbelkLIogr2vlBAYbqW+pIP9b5SRvjQSvVFHS3U3EQkB5z2lwGQxcOWDWbz56+Mc3lzJqttS6e9z0VTeRVt9L5pOwxpgJGWhjM4cfKuc0qPNmCx6AsKspC2JIColkP4+13AXdpdTOj+FRNmITPb9PXY02nn5p4fY9NB8UpdETDiusVymeOx/rUxGD1POQ6TL6aB56wu0uP6VDVfOXr3A1Z+cDwKfImH+IRYe+N4q7N0j7lFV+a0cfLuCfW9YWTNcZ9Q6eQ8YheICwGIzEhzlNyaFC4CYhWd13vLjzVhsRp8srucUvVH2MDv8F/nyj4LFD0LsYimaEteAbvYWpoY+QzwegX7wq6af4nOlrQyOP48lNAlYhaPHyYBD2nbPtMZoCL1RxzWP5nDk3UpGe191NvWx56ViAIwWPcGRfpj9DMSkB7P4moRhJ7sBh4t3/1iA8AiSFoRRmdcKGtSXdHq93oVI3s4aWmt62PhAFhV5LeTtrGHp9UkYzXoG+lxs/fNJKk60cNVD88heF3u+p6uYY1SsUOEzx7ZWU3K4iTV3prH0+rOLCASEWsa4fM0mOr2OTQ/PZ/Pv89j5bCGbHplPwZ46NJ3G/HWx2ILM3PaVxYC0Cn/zV8cp2FNLzhVxsuHhNXPvTOQLiTlhZK2K5tDmCo5trcJ1hnMTMFxr1d5gJyE7FE2D+pIOSo9MvpIbmRTA4msTSV8aiRCCirxWwuL8xzUWFEKw47lC+u0uKgtaJxVGTZVdRKUEYu8c4L0/FXD/d1cNp5LNOkLQdeg9rGlLMIZGjmwv38mp1oXo9IKMlbPXC0rTtGk1KAgMt45Jy4tKDqS3a4AjWyqJu28NiTBYZ3TbrM1RoZgropIDqZ7FNgIej6Ayv5WUReHere3PNZ9+D5oLZZ1Rwd9h7xMgBj9vF34c7nxS5r3NArpRwggGU+mmWnAp2wGA1VEBrMLR68TeKRdezjZiBNKI4eYvjBe6XS191Jd00FDeRXerg77uAQ6+VU7+zhqu/mQ2STlh1BV3SFGUG0ZlfitxWSGExdnI31WLy+k+79kOU+FyusnbUUNiThi5G+IIi/Pn1Z8f5tSH9cTPC+HdP+bT3mAnLM7GjmcL8bg8tNX10t3ezw2fz522I6DiwkcJI4VPeDyCg2+Xk7wgjCWT9Fm4UEhdHMGKW1I4+FY5NUXtOLqdpCwKxxY09iaSMD+UuMxgDr5dQUeDHY9bEJ4QcJ5mPZ7192ZgCzbj8Qis/kYiEgMIi/NH06C1rpfjH1TT2WTnpi8sHLa09XgEDaUddDT2YbbJDuwWmxGDSYcQUHOqjRPba3jvTwUcTaxiwOGis6mPyORA7vl/y9A0jbqSDnQ6jba6XmoL2zGa9cMRIW+4Bty01vay9LpEErJDee2XR8nfVcuSa2fvd6W+pANHrxP/EAtHn32X4spQrIYDLLl9AQuvkh3n3YXbKHJsJHVx+ISpbucDTdPYcF8m5ceaOVnoT+IDL8oeSgrFRUBkciCF+xvoaZ+ddCJHj5N+u4uIxAvECS0oXr5ANmLubYXuesh/GfY8DtELxtn7A+DsA+P0alDHpNIh07amjESX7wTAYpcRHEePk552BwABZxkxmoyhBZ6s1THD2xrLu9j65wL2vlxCUk4YtUUd6PQa138ul76uAWxBZioLWjmxrYamym5i0899OjrAgbfKcfQ4SV8WQVCkH26nh8aKLupLO4lJCyJ9aSSaTqPoQCN93U4WXysXamPSgohODeTgW+V8+EoJRrOeW7+yiKjkQF5//Cg7ny8a7rxZX9KpGuRegihhdJ4pOdyE2WYYm7s9AUII6ks6cA548A8xTyt97Wxpr+/F2e8mfVnkeU8z85UVNyVjsuhpru7G0eNk+Y3J48Zomsa6ezJ453cnyNtZi96oO/+pHaOw2IysuTPN6774LJPXD2WdTiM2I4TYDO8f2MGRfmRfEUfRgQYOvV2ByWog54pYCnbXUVXQhsGo47Unjg63XI5KCSRhfiiHN1cw4HB5bQbYXN2D8AgikwOJSwsgIdXA0fcqyd0QNytRI0dbB6//8iBuz6CZAf4sCd9JS1cQH77iR1ezg40PZHHsoJt+TwA5Gy888a7X60hfFsXJvXUMPHw1JrP6+FVcHESlSAHTWN41K8Ko3y5NTCy2C/RvwBYmX1E50FYOW78LccvkYsaAHbb9CIrehbZSCEqAhFWQexekXwuGyQ0HzowYeaaKGHncUL4LdEYsA/UA9PU46W7vR6fTsJ5jg4OolEAWbUpg19+KaK3robawnejUIIwmPcbBKPmQYVBDaed5EUbN1d0cfEu6LebtqBmzT6fXyNtew5GESuIyQyg/3kxYvP+Ye+nSG5J557cnSF4YzlWfmDdsInHrVxZTmddCbGYIz3z3IyrzWpQwugS5QD+VLg/KjjXLAm0Nrrg3gwUb4+np6KejyU53q3SbGW3deWpvPdufOT38842fXzBpatNs0lQpowWT9Vi40NB0GouvmfoBOSIxgEd+vE5aqLoFeuOlHxrX6TTmrY5h3uBKoNvloaqgjf1vlOHocRIUbmXNXWm01PQwb3U0HY190n69stvrjWCo/iAqORB2/pQVHW/wavePyX/pPZakV0BrCfR1gKMTHB0QngW3PD7lQwQAjk6Kf/8T3J7ruDbmKYS9jZjseAIffAL+egt7Cps4vus6IiMGONR0NalJ3ud4IZC5Moq8HTWUHWtm3pqYqQ9QKC4AwuP80Rk0miq6SF8WOfUBU+DolfUx5gsoqusVTYM7fgvVB2Dbf8Cjb8O+38C+30LG9bDgHmgpkqlu+S9DSDJ8fjdYRt0ne1uk2Yp7ADQdWkswoBvu7SfcUwijhhPQ1w4LPob1+BZAGmL0tDuwBZunTsObA9KWRrL7hSIKdtfRUt09rq2ENcBEcJQf9SUdcJZp9xPRWN7F4S0VNJR3MdDnwi/ARPqySNbclcbhzZUYLXoe+N4qGsq6cPQ60ellK4+IxABKDjVxeEslBXvqcA+4ue4zuWMWfFMWhvPwf67FP8Q8ZrvFZhyOnsVlBFOZ38q6e+a+95Xi3KKE0TnA4xGc2FZN1ck2+u0ubEEm4ueFsu+1UiKTArAFm9n9QjEfvlo6pgO4f4iZO/5pKUERVlrretj9guwvsfKWFLb8MZ/CAw3nThhVdGMaLMC8VNHpNLhMG6rqDTqW3ZjEjmcL0TS465+XEZ0aRNoS+RBktsoHmMZy76kDTZVd2IJM2IzdsO+3xCSlk9B3ksN7E3EczSfGVo3bFMyAPg4nWfiXHCTF8C20W/5r5CT93eB2ju0+398NT9/Fqfr7CY9wk/m9v4Cja+TB49b/ZlX11VQ4V7HtFTBogvUfu3BvVFEpgQSGWyg60KCEkeKiQW/UEZEQQOOZBgyj6Grpw2DS+2TRPBQxMvtdBI8gJhus+wps+Rco3Ax7fw1ZN8H9z4+Mcbvg4B/lmIY8SF4nP8v2/x52/gz6R/7ddPZNwJfxeOS9fkrzhcH6IpZ/CtOJVzCZPJQfb8bjFrNSXzQT/AJNxGaGkL+zFiEgzss9ISYtiLLjzQw4XBTtbyBzZTSmWbTA3vl8Id2tDpIWhGENMNHe0MvRrVXYuwcoPdrE0uuS8A+xkL5sfIQza1X0sBPtRI6rU0VGk3LD2fNSMV0tfee8pcfZIIRACM6LoL5YuAg+lS5uOprsfPCXUzSUdRIW549fkInmqm7Kj7fgF2jixn9YiF+QiePvV9Pb2U9wlB/BkVbQNLb8IY/XHj9CyqIIKvNaMFr0XPNoNrYgM2lLIzm5p27C1KbZpqmyi4ikgPPbn0Yxp8xbE0PRgUaScsPGpRNa/KUz1UR1Rk2V3TKauOdxcNrhrj9wRV8IO58p4FjN3RzpPfOIq0l87wiZjb+hvCURZ3cXCc4PiDccITQpDF32rTLX/++fp7mynWZnKldsyhyczKjV2Mj5GK/+Bps2/5TX+37IqvDNBKT9avb+UWYZTdPIWBHFkS2V9Hb2j6t5UyguVGLSgzn+fhXH3q9i0dWyIavb6aHseDMFu+uoLWwnJj2Iu76xbMpz9fcOptL5XeARoyGWPgK7fgEvPiIjP1d9e+x+vUGKpS3/IqPjyevg0P/Be9+BjOtgwz/LhrjCje6556BLPpCDD6l0ZTsgMhviV6DT61i7oJQdh2VWQ8aKqJm9n4Y8OPkGbPzmjK3JM5ZHUlvYLtPPvTiQxqQHcerDev72wwN0tzlwDnhmrea0p91Bc1X3GCMoIQQ7ni3k5J46DEYdi672zdxpps80Sblh7HmpmIq8VhZeFT+jc5wrhBC01vZSfKiRkkONdLf14x9iJi4zmLV3p2P1v3j6TZ0LlDCaZepKOuhosBOVEkh9aSd7Xy5Gp9dxzaPZZK6MQtM0hEfQWNmFX4BpOFXOm6HB7Y8t4e3fHKfwo3oCI6xsenj+8INUxrJI8rbXUHGihcxZdN/yhtvpoaWmx+cPGsXFid6g486vL51w/0TOVP12Jx2NdrKW2ODgn6SLU0QWIcAd/xpJv91Je4Mdg0mPyaLHaNZTcqiBD19yUnXQiFXXjkXnYa/rE8AnMLQPkFRwiMXv3EawoYYTYX9A16GRuXKCh4B1jxFb9C6fMjyCefnHZs09aq7IXBnNkXeraCzrOmcRX4XibFlxczJdLX3sfbmE4kNNmP0MNFfJ+s2AUAsxaUE0lHX5tFjnsA+l0l0kjyAmP1j7JXj/+5B7N0Tnjh8TFA96sxRGADWHIDAeHnxpzDDNKhd2PG4hxZEAXe1+YLBvTvUB2QQ6OldGoqoPwJKHpIAJTiI7cC8VC1ZTkdc6JtXeZzpr4Jm7oacRPC645nvTPweQuiSCnc8XEZ0a5DX9PCZN1ha5nG4s/kYay2fPvrsirxUY279Q0zQ23p+J3qAjOMo6581lg6P8CIq0Un68mfRlkVhshgvDYXEUHY12ig81UnyoifbBNh8J80JIXx5Fd0sfRQcaqSxoI3N5FJ0tfRhMOmLSgklbGjHpop1zwM3xD6rJXBF1UUXLfOUi+VS6eCg53ETe9pFiv4T5IWx6eP6YXgOaTvOpx0tEYgCP/GSdV7OD6NQgbMFmig81zbkwaqntweMWY5qlKi4/olKkM9WpD+tx9DiJTgsiNMbG3lfkg0CUcx+4HHJ1dBRmv/G9ShZclUjK4kh6amqJTMhCZwulu1ujvqSD+tJOig+YKW0bdG1rgqxVURO7zOn0cOfvMT93Lyy8d9bf92wTGmPjUz9bj8X/IlktVyiQvdVu+Fwux7ZWU3q0iYE+F3GZIWSviyFhfig1Re288cQx6oo7pmzaPRQxMs9iatWcs+KzUlSs+6r3/To9hKZCa6n8uekURJ3ZUprhh2ePRwwbMGhVH4K4Ty7qvPIZCIiBT78r65ecdohfLg8OS0drK+Wqh+bz5q+PTb8BeX8PPH+fNJDIuklG+FM3QuqV0zsPYPU3sfH+TEKibV73B0f5cfMXFxKREMDeV0pkvdEsUX68haAIKyHRY1P7dXodG+7LnLXrTEXywnCOv1/Nn7+5B5PVwPy1MWSviyUkxu+cmFQN9LmoOd1OXUkHPe0O3C5B+tIIgqNsHHy7nMp8KSBjM4JZeH8maUsjsQaMCMaWmm4++Osp8nfVEhRpZaDPRcmhJo5treLu/7fMqziydw3w9m9P0FTRRUNZJ7d8cdGcv89zzUX0qXRxcMW9GSy8Mp7G8k50Bt1Zu7hNdKym00hfFikbk9X2EBo7dw51Q4X1kckXjo214twTPeg0tP3pEQOQoV+5RVcnEN/xY4hZLDvH+4B/iAX/kJGxAaEQsDKazJXRrLkzjaIDjQw4XITF+U9tphCaAl86OL03dB5RokhxMaJpGkuuS/Sa4RCTGoTOoFFb5IMwsrswWfQX3Ar7pJj94eb/mnxMWBq0FMtIT0shpG8aN0Snk+9ZjBJGOmcXdNWBwQIdldDdAK5+qDsqD4pdMnL+it34+Rv4+LdXTm/+QsBbX4PGAhhqF/CHK+HVz8OXDoBl+m6sOVcMNmhvOgUB0WAd+zk99HsQlRJI8cFGetodZ92QdsDhoqawjQUb48+7Q+6Km1OITAyg3+6irqSDvO01HP+gGmugiYxlkay9K33OzJzqSzp447+P4XJ6MBh1+IdacLs8VJxoAWT93qrbUpm3JnrCf/Pw+AA+/u2Vw3VWQggayrp441fHeOt/jrPk2kTKT7Tg7Hdjshiwdw3QUt2N2+UhZVE45cdbaCjrvKCcfGcDJYxmGU3TZJ1Q1NybFMxbE03ezhr+9qMDw+40HrcHW7AZi78J14AbvUHWNKQsisDt8jDQ56Lf7sLsZ5hwpedMmiq7sAYYZ8WmVXHxEpEQwI3/sEDWG0X6UXO6jYayLuavjSEixA7/dRCu+tdZuZbJYiB3Q9ysnOtyY/PmzbS2tk46JjExkcWLFxMYqKLAitnBYNITnRJEbWH7lGMddueF70g3E8LSpY13S5GsRYqYP26INhQxcovhXkY6zQP1x2QqHoC7H+pPSGFkCoDQwQWksDQZQequh6Bpfj4efRryXpT1URnXym13Pgl/3AQ7fgI3/HhGbxlHJ/zhKvneP7PVa1+noQyZxvIun4VRXUkHx9+vJmlBGKmLI4YzBmpOteNxieG+fecTs9UwnLGz4Mp4ejv6qchroeZ0Oye219BS08O1n8rGaDFgMutnrUZbCMGel4qx+Bu55tFsotOC0Ot1CCGoK+qgrb6XzJVRmH2s4Rual6ZpxKQFcf1ncnjnd3ls/b+TWANN2IJMtPf1Yg0wkbIonIVXJRAUaeXp73zEgTfLWHBVAvk7a3D0OBFCNpBPzAkjZVH4eRevM0EJo4uY8PgAPvHDNVTmtVBf2olOp6HpNHo7++nrHsBo1tPd1s+2p04Dp8cdn7o4glW3pxIaM7FAcva7qSlsJzIp8KL8BVecBW1lUPw+zLt5+CacunikJiZzMLoDwOFXACHHKs4r/f399PX1Tbjf5XKxbds2tm/fTnx8PElJSeTk5BATo1zyFGdHXGYwh96poN/unPShbGhx7pIjLB08Tih+V/4cOV4Y6QyyF5vH7RlJpcMN9cdBN+rfrHq/FEaxi2EwykRYuvzaVjo9YVR9EN75JqRshCu+PrI9biksfxT2PwmLH5R1TR6PPL97QJo+THXfP/kGuPqgMQ+2fAtufWLckPAEf/QGHQ3lXaQt9c3u/aNXS2go76LsWDO7/1bE/PWxBEVYOfpuJWabgej0Cy9KYQs2k3NFHDlXxJGyqIEPnjrFX7/1ISDT7m7+wsJpne/Met4hSg430VTZzaaH5xOXORKl0zSNuKwQry6B0yF5QTh3/NMShEcQkx48oTnI0uuS+PDVEqpPtRMQaiEkxg/hERQdbKRgdx2rbk/12j/yQucS/GS6vAgItZC7MZ7cjd5dUYQQ1Jd2Ul/SgcliwGwzYLbKQsjjH1TTUNbJIz9e6zWlQQjBzucL6WnvZ9ND4z/gFZcoQsDz90PRZvnz4b/IlUDTJBHG02/LHh6R43PqFeeWO+64Y8oxra2tHDt2jPLycj788EP27NlDTEwMQUEjDxtGo5EbbrgBm823yLJCEZcVwsG3K6gt6sBsNRAUafUaIejvdU5cM3gxEz7YKuDUm4AGEVnjhgyn0rlcw850Om1QGGl6KX7cTqjcK93jVn1u5OChyNGeJ6B4K6z8HARPYYpU8Br8/fMy1e2uP8paqNFs+jc55rl7wS8MOqpkrzkA/yiIypXiKCpH1ldZQ2Q6nn8U+EfIWnA3fgAAIABJREFUKFRoKsy/Ffb+t2x2u/j+MZfQG3REJPpPaMBwpmFHQ1knDWVdrL83g+jUIPJ31lCwsxaPRxCTHiRT1C7wNMzMldGExNioLWynobST0mPNdLc5fM686e3s5/kf7McaYCIhO5TE+aFEpwXR1dLHvtfLCIuzkbV67urLfWnMm3tlHO2NvUSnBpG1Onr4/8Tj9vD+X05x4I0yopJlg/iLCSWMLnE0TSM2PXjcL3lSbtj/Z++8w+I4z719zzZYeq8CBCqACgg1JAvJQs1FtiVL7t1xHJckTjlp5yQ5OV+Sk+aU48SOYzt23OImF9mWXFStYhkJNZCE6CAQvbdlYXdnvj9edgHRRUdzX9dewOzs7LvL7sz7e5/n+T34TnPjs+fOUpJd3+sH9+yBErJSylm8cfqk+2CrDIOaPCGKFj0A4cvhg0fhw2/Bsseg4qy4cLZUiYt04DxhVZt/AJZ8fcI7wqkIfH19Wbt2LQCtra2kp6dz9uxZ6upEGpTVaqWmpoaYmBjmzp07nkNVmUQERQqHss+fP4ssK8xaEsiGh3p+ftpMVly9pqBVvT2iU3JCnB97SSuTdB2TR4u1s8YIG5SeAUkjrL6R4Ox7oNg664sAPEJFHWfxMcjbC07uwnK7L0pPwbb7hVi54w1w7SX9zMUHbnwKUp4VxwtJEGYPkhZy94iaJ9kGR/4mFsmMPlBXIMTQ7f+GgkNw9Y9h1Q+g5CR89G3wCBGmDl0IjPTk7MESbDbZMYFuqjVz6O1sCs/UsO6BWEcGQtreYoeZgcFZR+D0OSy9MYrWpnb8w90nTfaKf5g7/mHuNC5oJe9UlZhPXdIMty/OHiyhrdVKwHQPzh8u7WbqJWkkbvhW3Lj3ItIbtL0ummu0GpLviaGmpJldL57jtv9aMqlKMVRhdAUTMde3wzq5opvwaaxudZyswmK9WbIxchxHqTLmFB8VPxMfg4AYURS89//BuffFdo1erBq2VHZ/3JybxnacKiOC0WgkMTGRxMREx7bW1lZ+//vf09Awcha7KlMfrV7DvFWh1JW10FDVSlONudf9zC1TtMbIxVeYGJgbek2jA9Bo7al0FmSbPZVOhuZysUPIQtAZRCQGugsjjQYeOSB+f3KWWKTqj4pz4ufN/+hdFNmZc1Pv5++Eu7sfa/9vhPNowt3wxe/hX9cCinAD1erh9tfhpWvh7Xvg63vBv9MhLjDSg7S9xaTtKWZajDdZR8vJ+LIMZAWfYBf2vHwem1XByUVH3slKFqwP7xZFcvdxnlST6654+BkJmeVFZkoZi66N4PTeYqouNIIkEbM8iPA5vt32t1lkzh0sIWKeLzd8Mx6bRaY0r56KgkY8/Y0Ez/ActonFaKN30nLtN+ax7XfH+fyFs9z8HwvR6iZ2lM+OKoyuYHQGLdPj/Mg7XcWqu6LRajXUlDSz/S+nsFpkrtoyk7g108Z9VUJljCk+Ki7ufh0XtaTviZVKJzcImi96c2g00FoHVVmiF4bBTeTCq0wJnJ2d0ev1qjBSGTJJt4p0st0vnaMsr+fnR1EU2kxWnKdijZEkiahRyYk+04rtwkix2jpT6Vy61MuEJIhzLYjzsHcfC5Oe04R9eH80V4if7iNQPxg4F+74d+ffboEiOhS6qNOJ1OgF97wLTy2A06/D+l86dg+L9cE7yIWvPhB25hqNxIxFASzbFIWzm56P/5rGvlfPA2Aw6pi/emI3TR0qMcuD2PdqJh8+dZqSrDo8/JxpN9soOF3Flh8twj+s0/U353gFrU0W4pNFmqRWryEsxoewmMmVueMd5Mra+2L57PmzfPlu7phaqQ+HKXhmUhkKsxYHkJNawcXMOlw9nfjoqVNotBK3/3DJmDjrqUxALqbCtCWdBb+SBPG399zP6A3hy8Z2bCpjgiRJeHp60tjYON5DGTSFhYWkpKT0ep+Liwvx8fGEh4d3S8Opq6vj1KlTVFZW9vq43pAkiZUrVxISEjLsMU9lXD2daGlo61FAbm2XkW3KoB2zJh0OYdR7xEiymy9YrY6IkcZ7GtRJ4lwbNF+k4BnchEjqK23MKwwqMvofS1MFOHn2mtI3bBbeB1oD+Md03+45TdRaVXY3fHJ21XPnLxKpLW2hqqiJsFifbumUNz4Rz4WzNbh4GPANcZtyLQ1mLAzg4FvZlGTVsXjjdJbeEElrk4V3fpPKp8+e4db/WozRzYAiK6TtK8Y72JVpscMzUZgIzFgYwIJ1YZzeU0zM8qBJ0Q9TFUZXOOFzfDE4a9n7cgatTRaMHgY2fy9BFUVXKq31oifF3JvHeyQq44ynp+ekihi1t7dTW1vb630FBQWcPHkSo9GIVttZfN7c3IwkSfj5Dd5WtqqqCk9PT1UYDYCrlxOyVaGtxdptkmu2N3cdwYiRxWKhtLQURVF63Ofr64u7+xj24LPXGQ0QMZKtnTVGkpNRPE6j64wW3fiUiNT3hWcYZO8SZjl9fXabK8BtcC5wl0X8Hb1v94+BkuM9NkuShG+oG76hbj3uMzjrmLU4cKRHOGEwOOu4+q5oYd66XETwXDwMXPfofD7440k+/ccZbvrOAtL2FlNd3Mza+2MnTS3VQCy7eQbTYn0mhSgCVRhd8Wj1GuasDCX/VCXzV09jTlJIr92OVa4QSo4DCoQNsXmgypTD09OT8vLyIT3GZrNRVlbW6wT1UpydnfH39x9wv8Eye/ZsZs/uPVWjvb2dc+fOcfHixW5j8/T0ZMGCBd3c+AbiqaeeoqWlZdjjneq4eBoA4a7VVRi1mawAI+pKd/jwYQ4cONDrfaGhoTz88MMj9lwDEnebsLr26/2z6Eils3VxpdNo4ZrfdEbpAebf0v/zeE4TNtmmmr7rh5orhBvdWBMwR9SktjV3Cj0VYpb1TGkMnO7B2gdi2fXPc3z0f6cpz29g1uKAUXWcG2u0Wg0Rc30H3nGCoAojFVZsncmKrTPHexgqo01zJaS/LdIqFtwD+l6KN4tThTNS6KKxH5/KhMLT05OWlhYsFgt6/eAmsR988AFnz54d1L7R0dHceeedA+84AhgMBhISEkhISBh45wFwdXWlubl5BEY1tbGnSbU0tHWLELSNQsSouroaDw8Pbr65e6Q7JSWF4uLiEXueQeE9Hdb8rM+7JZ143bLV1mm+oNXA7A1Dex7PDpvuhuL+hVHI8D/zQyagI72uOku9lgyCWYsDaalv48t3c/EOcmH1PTFTJlo0GVGFkYrKVMdUC7v/G9LeFEYJAIf+LC6Y1dnCfjXqamG9nbcXAuYK21aVKxp7FKWxsRFf34FX+4qKijh79ixLliwhOrpn/5ZLmaz9kdzc3PpM2VPpxJ550FLf3m27PWI0kq50jY2N+Pj4EBnZ3ajgwoULZGVlYbVa0ekmxnTH0eDVauu0676cnjyeHeYEDRf7Fj9NFcIkYazx76ivqsxUhdEgWbAuHA9fIwHT3bu58amMPeq7r6IylcnZI5r7meth8UOi11BTGRz4vRBFfrOFHffBJ0GRxWOWfqP/Y6pcEdiF0ekD+1h5/Q0YnPsu4JZlmc8//xx3d3fWr1+PwWAYq2GOOW5ubhQVDWCTrIJrl1S6rphNIx8xamho6CGKQPyvAFpaWoaULjmaaDoEWrcGr5cljOwRoz6c6dqawdIyPsLIJxK0TlA5gDmESjeiEkYutVjl8lGFkYrKRMDaBkUpImrjehm5uO0t0FTeaZsKUFsA2x4Ar3C470MImie2+8/u0XwPc4PoidFcAaGLL/tlqEwd7BPJ1M92kPHRO8QmrWb+2msJjJxBWVkZe/bsQZaFmLZYLJSUlLB58+YpLYpARLpMJhM2m62bkYNKd3QGLU4uOkz13YVRW8vI1hjZbDaampp6FT52YdTc3DxhhJHDlc7WNZXuMj5HLj6gM/YtjOxW3eMhjDRasehWlSmuLR99G1b/V2eKnYrKBEYVRioq40FrPaS+AM1VYlUv8xNorRXNU2NvgA3/C54djkRdXYeqcyH9LdA5i2aCXmFQXwxf/FZcCIMXwMJ7YcZaeO8hUS9011tCHPWHs6ewiWX+qL5slcmDh4dwEJq74QZ0FcWc+2Ivabs/JTBqFs4LEiksLCQ0VHxGNRoNS5YsIS4ubjyHPCbYJ9smk2ls3c4mIS6eTrQ0dE+lM5ssSBoJvdPIiMrm5mYURXF8Xrti//80NTWNyHONBBqtEISyTUa22sQ23WW8F5LUcf7vI3rp6GE0Tk5vATFw4Sv46u+Q8SH4RcOan47PWFRUhoAqjFRUxpLmKjj3gUhlM9UIQSJpIHKVsMguPgonXxV9MO55H069Bkefh4irRMQn5R9ga+t53GlLYdnjkPYW7PyPzu23vjywKFJR6QWdToerqyuKwYnrvvl9ku//BhmH9pOVcogLF0uYPXs2t9/eS3+rKY69Nqq5uVkVRgPg6mnokUrXZrLi7KobseJyu6X8QBGjiYJGrwUU0eDVKqJnGu1lvhf9NXlt6nCUHI+IEQjL7jPb4Kunxd8XU8dnHCNBcxXk7oH5t4JWnTZPddT/sIrKSFNxDvIPQP0F8ImChHugJlcYIOQfQNhhL4N73oOQBd0fO3ezOPm+djM8vUTsG309lJ4WxgixN8L1fwRnLzBVi9VCRYaIFWIFccV3oCoLcncL9zm1H5HKMOjay8jZzY2F191I6MKlPPvss8yaNWucRzc+dK1bUekfVy8nSrLqum1ra7GMaHPX/oRRVxE7UZB0eqBdpNJZRb3VZaXSgRBG5X24QDZ3NC12GyfbZ3sfp/YWiEgSi32y3N2SfCJhbYPMHaIuN+IqcS12cofiY/DO/dBUKq6rNz8PVjO0VIlaKpUphyqMVCYH1jbhqGaYYE5WigIpz0LFWYi5QUR8jvxViBW9C1hMsP9/wdwoUt9W/wRiNopaor5WTEMXwgM7YNfPYMnDIrXOZhUn5q7RH89pnc5EdiRJpDCoudwqI4CnpydVVVXdtuXk5AAwc+aVafE/EaMQExVXTydMje0osoKkEee7NpNlxI0XgF5T6XQ6HS4uLhMslU5HpzDqiBhdrmOeZzi0VILF3LP9QnO5aBhr9B7egC+XgA5nuvm3woxk2H5Y2Hfbt483TRXQ3gxtTXD2XTj9hsji0LtC2huw47siZb29BbwjYNk3IeUZUbtbnS16VX0vA9xUw4SpxqC+jZIkhQF/AdYDErAH+K6iKP1a80iStBj4BrAKCAeqgUPAzxRFKbhk30IgopfD3KwoyvbBjFNlCvP+w6LL97ytsOIJ8O/DDjjjIwic292EYLRoN8GO74maH70LnP632L7wPkj+qUhhKD4Kx14AjxBY+R9g9BrcsYPmC8MEO1rduKbEyTabozGhypWDp6cnubm5KIriSH3Kzs4mKCio14nolcBEjEJMVFy9DMg2BXOLBaO7MOUwt1gdv48EjY2NODk54ezcS182hJCdSP8rjd7ex0hGsXXUGA0nYgTQWNLzmtdcKa5B4xWh8YmEzf+AWeuhtSNqeDF1fIVRS7VINz/7HpSe7Nyu0UH0dbDoAYhKFtGtrE+F+HFyh8RHhMB09YVDfxGp71mfiCyO+DvG7eWojA4DCiNJklyAfUAbcD+gAL8G9kuSFKcoSn/5BHcAc4G/AueAUODnwHFJkhYoinJp57XPgf+5ZFvWIF6HylTGVAuZO8F3ljih1RXAg5+I+6xtIGmFcFAUeP8bInVt4x9Hfhznd8C+X4mTvLlBhNNBiKAV34XCgyLFbVoXV7fwZeI2iWmsquTVH3+b6775fWYsShzv4aiMIZ6enlgsFlpbW3FxcaG1tZXi4mKSkpLGe2jjhpOTE3q9Xk2lGwSOXkYNbQ4x1Gay4BXoMmLP0dDQ0K/j3EQTRiKVDhRZdkSMpMsxX4AuvYyKewqjpnJwC7jcYY4MCzoaOBt9xLXxYqpYOBwLGi5Cbb7I3qg8D4WHIftzkC3CpGjtL8T7J2lg+sruJhVhS8XtUlb+ByR9X8w1/jQbcnarwmgKMpiI0cNAFBCtKEougCRJ6UAO8Ajw534e+3tFUbrlYUiS9CVQ0HHc/75k/2pFUVIGOXaVK4XzH4s0upufhS//CmVpnfe9ullEV67/gwh5W1uFu9tIoyjC+a2tCWZfK0wTnD1F87oZyWKfmetG/nknAMd3fEBbSwt1pSWg9uq7orBPOJ955hkkScJsNqMoyhVbX2TH1dV1Qk22JyquXp1NXv065vDCfGFka4z6E0bu7u5UV1eP2PMNF02HMJKtncJIc7kF/V4dvYwqz0PU6u73NVf2TLUeLzQamLYELh4fm+eTbfDiBhFJs+MZLvr4LXpgeKnmkiRuM9dB9mfiuTRqNsVUYjDfxpuAFLsoAlAUpaBD4GyiH2F0qSjq2HZBkqQqRPRIRWVgzr0vTAyCF4CrvwiH26nMgA77U0wd202jIIxKToo6oo1/hiUPjfzxJyimxgbO7NsFQLvZPM6jURlroqKiSExMpL29HUmScHZ2xsvLi7CwsPEe2rgy0aIQExWXS5q8nvniIm0mK27eTiP2HI2NjQ7b+N6w/6+6poOOJ5JOj4QNWZY7Xekut8bIK0Iszh15GhZ/DXRd3tfmclGvOlGYtgS+2COyLZxHuafUhSNCFK39hYj8eE8feZE4cx2kvSnmBmFLRvbYI01zFRQcELf8A8LK3S0AIq8WZk6X1qdd4Qzm2zgX+LCX7eeAW4f6hJIkxQIBwPle7r5RkiQToAVOAb+btPVFploRZbicZp0qnTRXQsFBEb6WJFHo2NYgUugAzPWdQslUI3621vV+rOFw4l+ijmj+kD/yk5pTn36E1dKOJGloN7eO93BUxhhnZ2euu+668R7GhMPNzY3a2lFYgJliuHqIifrF87WU5daT+VU50+P8mL96ZCap7e3tmEymAVPpZFl2pIOOOxodEjKKTUbuqDG6bFc6SYI1P4fXNsPxf8GyR8V2m1VcF93HyZGuN6YtBhT4/KcicpO/H3L3itrZkARYeD/oRqj27Ox7wkQh8VEwjNL/fMYakYaXu3t8hJGiiPev8aJIG8zbD9U5IoNlzibxs60ZPv8vOP+ReIyTJ0xPEu62DRdFO5CaPLHYe+Jl8JslFn8nwALCeDIYYeQD9DbTrAWGZHciSZIO+AdQBbx4yd0fA6mINLtA4FvAB5Ik3asoyut9HO8bCHMHwsMnSK+WzE8g9Z9CmWt0sPnvwjAAxIc0Y7uwefSdCaGLwSN4fMc7niiKKITM3w/X/k508r6UjA9FjrD9PXTtcIBp6RKMvDRSNNLCyNwoTrTztoLz1C84ry4qZMdTf6CxugprWxuzliynJCsDiyqMVFQAkUpXVNSv95AKoNVrcPEwkHO8Eo1GIn5dGFdtmYlGMzITr8bGRqB3q247XZu8TghhpNWjkWzDb/BqJ2q1qJE59Edh7mM1C9dTlPGvMepK5CpIuFdEWU69JrYFzhcOb6f/La71t7/W00XPZoW2RmGCoB1ECqbNIo4Vfd3oiSIQ85XQxeK5AueCfyz4zx6957uUlGfh8/8Uv0saMZaYjUKoZWwX2zQ6UYOd9H3hmhsc370P05l34YNHoeiIqAMrPAR+s2HZY/0/t7UN0t+GWdeMXwPhUWSw8Vull22Xc2Z7GrgK2KgoSrfZq6Io3+52cEn6AEgBfgv0KowURXkeeB5g8eLFvY1x7KnMED1rln9LOJK9+zU4855oyll0FNovsQ2dtkQU9EVfYauydYXw2X9B1k7xd/kZuHe7OJErishJztsHu38hUugCO3oidBVGSse/vKVa9EdwRIzqR3asZ94RttuLHxzZ404wFEWh4NRxdv71SfTOzsSt3YCk0bJgw/W8++uf096qCiMVFRBRCJPJhM1mQ6u6NfbL9Y/H0d5qJSjKE73TyL5X/fUwstPVXj0wcAJM4jR6NNiQZaXTle5yU+lArO6v/QW8uB4+eKT7fePVw6g3tHrY9LRoWZH9GUxf1Skk0t6CD78FzyYJkaFzEtkgTRXCQEG2dBzDAEjicVte6N3hLv+AqDO2L6aOJnNuEm013rlPCJAb/ixqmEYbU61oEh+1Gjb9XYhJuwi0WYXJRf5+sUh81ROdtWiXMv8WkWbYUgUz14vXsetnItIYvbFnBE9RxFxt++NQcQbCEuGBT6Zc09vBvJo6RNToUrzpPZLUK5Ik/RYR3blfUZRdA+2vKIpNkqRtwO8lSQpWFKVssM81rlz1bSF0JEmo6s9+IhqGufqK8ObC+8SXuToH8vdB2tvw1t1w67/E/RMdRRF+/6WnRK6wYhMrEzPXwdwtnV+kugviZGcx9TxGXYEwVNDoYcP/ihPhW3fDU3HCZEGjE12zK84JW+673u58rEMYVYuiRxBj6JpS19YgTg4j8WWVbfDV30WoP2QC5WuPMLnHj3LkndepulCAf/h0Nv/4F3j4dfZn0Ds7Y2lTa4xUVKDTsttkMjkiEiq9Ezh95KPsVquVoqIi8vLygN57GNmZcH2nHKl0CrJN7tg0TDOKsCXwxElxfZZtYjGv8MvuDqkTBc9pIpWuK/F3gGeYiHo1l4u+TEYvkdoVfZ2wHW9vFgZLiizmFi+sEQ3MqzKFrbbvLHD1Ew1ZnTxh5trRfy3LvyXGYKqFvf8PPv6OEBmrfjj8Y8uyyD7SaMRrC10oomYAB/4gomjX/AY8L6mv0+ogYrm4DYaun5Gbn4UX1sK2B8DgJv4ndhRZ1G21N4OLX2dfp4NPQvJ/DuulTjQGM3M8h6gzupQ5QMZgnkSSpJ8CPwGeUBTltcEPzxGVmhjRoMHQtfhR5wQ3/KX3/aYtErfER+H1rSKydM1vIeHuidfEtCvHXoBPf9jhyuYlVoHaW+DMNhHdCV0ktmXuECdobS85wwZXcUJZ9pjo7wOioWnaW+I+a5tYjYi9AW74v+69f1z9xM+WKiGi7LRUd0aMQAgl+77DIesTqM2DW/41ZfNuFUXhs2f+jNHdg3Vff5w5K9egv6QniMFoVCNGKioddJ1sj4cwam9vd9iFe3h49Bu1am5u5tVXX8VqteLk5IRGo0Gv17N582a8vAbZV22CcfToUXbv3g2AXq/vVxh1TaWbEGh1IpVOllE6Uumk4USM7PhEdf6+5mfDP95YM32FuA2G5d8UKWCZOyAoTqSBlZ7szBZZ+nD3udhoIUmdjdbvfBvevlv0OVr5g+HPF068JOZajufSCgdeSYKydLHIHtjb1HwYOHvCIwdFKUjO7u4lCyAiVH6zYM5mUe/dWgsH/wBNZSJ65OIrHPqaK4VYjbt9dNMZR4nBfBs/Av4oSVKUoij5AJIkTQdWIMROv0iS9ASi79FPFUX522AH1lGPdCtQpChK+WAfN+lwcoe7t8Gbd4kvwf5fi9DnVU+MXCHiSJGzBz77sQix3v56Z+M4exHgyZdFIV9LNSx6EJK+13M1oy9CFw7OQadrKp3N0rnddIkwaq0bGWF05G/C+Sf2puEfa4JiaqinzdTCVbfdTfz663vdR+9sxNzUOMYjU1GZmNiF0Xj0MlIUhZdeeonycnFZnDdvHrfcckuf++/fv5/q6mrmzJmD2WzGZrNRUFBAbm4uixdPwIjCIMjNzcXPz49Nmzbh5uaGrh9hYTAY0Ov1Eyhi1JFKZ6PTfGEkhNGVhHsQ3DfBfLm0OmHIkP2ZmAO5+Q/8mL6oLxYLzVGrYdMzUJUlnPZKjovF5oX3wdpLu92MEAYXEaUbTHnH9U+CpRXObYeTr/S8//xHcMebk871bjDfxhcQRggfSpL0M0T05ldAMfCcfSdJkiKAPOCXiqL8smPbHcD/AZ8B+yRJ6trpslFRlIyO/e5EWH9/0nHcQOCbiK4pdw7nBU4KnD1FxKT4qOjTs+9XcPZ9kUZWmy++bCu+0z1yMpZcPC7Cpdmfi6LOLc9376YtSTBrnbiNNgY30DkLYWRt79zeUtVdGA3HsrvdJCzCy9LF/+S6P0y5HNqu1JWXAuAdFNLnPgZnI42VFWM1JBWVCY09lW48JttFRUWUl5eTmJhIa2sr6enprFixguDgnkY+FRUVnDx5kqVLlzrcBRVF4Xe/+x0VFZPz+2yxWCgqKmLp0qWDso2XJGli2atrhV23Ims6hJGERj9yfZ1UxhHv6eJnXcHlCyNZhh3fFalrNz7VGZEai9TAoeLkDre9IrKDavJEn0fZKl57wSH4+AmRlnf7a4MzzpggDDjbUxSlRZKkNcBfgNcQ6W17ge8qitL1TCMhbLa7zJi5tmP7tR23rhwAVnf8XoCw8H4SUc9kQjjUXasoyudDe0mTFEmC8GXilvkJ7PqpCA27B8PhPwu76Fv+1dlMdKww1YomqnpnkTeb+Cg4uY3tGLoiSeAaIFZkrGYwuAtDC3sqnd4VLC3Dc6Y78S9hcanRQ0QSJNwzcuOfgNSViSZ43sF9R/f0zs60qzVGKiqASM+SJInMzEzi4uLQdF0oGmVOnDiBk5MTa9euRZZlsrOz2bdvH3fffTcghE9WVhYNDQ2cPXsWJycnrr76asfjJUkiMDDQEXGabBQVFWGz2YiMjBz0Y9zd3Tl79iznz3d2CUlISGDjxo1j39tIo0MjyciyBsUmA9rh1xipTAwcwqhQ9E/qi5KTopbanhrXlS9+A7l7RH8h+/EmOhptT0c+nyghknZ+H/b+Ejb8anzGdhkMahlcUZQioF+LD0VRCrnEqU5RlAeABwZx/BRgzWDGckUQc7242SlLg/cfgXfuh4f3ihzPseLIX0Wx3df3DK9b9Eji6iciRJZWMaaLqZ3CyHcGlKcPTxhlfw5+0fD4V1dER+v6slI0Wi0e/n1buxqMRixqjVEPjh07RmNjIzNnziQ8PHxMJ8gq44fBYGDt2rXs2bOH/fv3s3bt2Kzmmkwmzp07x8KFCzEYRKp1UlISe/bsITs7m5kzZ7Jr1y5SUlIcj7nhhht62FQHBgaSlpaGLMuT7jNbUFCARqMhIiJi0I9RoxXuAAAgAElEQVRZu3YtOTk5jr9ra2s5fvw406ZNY8GCBaMxzL6RpA5XOm2H+YL28vsYqUwsvDraxtQV9n7/xeOij1Nxx/fTJ0qIH4sZfKPEou/hPwtb80sNKiYjSx4STs1H/grhy7vPaycwUzc/aCoRHA93vwPPJ8Obd8DSR0T90dwto9tXp7kKjj4nLB0niigCUWfUXC5S3gLnCBMIU7UQRzOShyeM2ppFLu+yR68IUQQilc4zIAhNPxdng7ML7ebWCdM9fiLQ0NDAp59+iqIoHD58mPnz57N16xhYxKpMCFasWEFtbS2HDh3C19d3TCbYaWlp2Gw2Fi1a5Ni2dOlSUlNTeeONN/Dw8KCxsZHExERWrVqFVqvF2blnfn9QUBCpqanU19fj49Ob6ezEJT8/n2nTpuHkNPji+oiIiG5CSpZlXnnlFXbu3ElYWBi+vmPbiF2SlA5XOhsSGqSJVk+scnnojSLLpy9h9MEjIt3suj+IfTM+EnMVrUE49ZobRL+nG/4ydcyervmNEITbHxXGDpMgCqYKo8mCV7gwPHh9a6dTyZd/FbmbdmeS4mPw2X8Kb/2F9w9ck9RcJforeU4TBgr5+6EoRYgD2QpV50W62tU/Ht3XNlRc/aHirIhkuSWLCFJzhTjB+EQBknBLuRwKDoieCTPXj+iQJzL1ZaV4B/ddXwQilU6RZayWdvSGMXD7mQScPHkSRVF49NFHSU9P58iRI8TExDB37gg7BalMSCRJYuPGjSiKQmjoIE1mhkl6ejqhoaEEBXX2pzEYDI7PYHp6OkuWLCEpKanfBQx7P5+KioohCSObve+ORjMuCyQmk4nS0lJWr149rONoNBq2bNnCM888w6FDh9i8efPIDHCwzy/JyDIosoIGm0jbVpkaeE/vXRi1VIsel+v+HyR29JtaeF/n/bJNzGv8Zk+qepwB0TnBrS+LdDrD5GhtoAqjyUTEcvhhrkghqzgL739DeM5veR6mJ8G2B4UgKDkO+34t0sF8o0Qu66XUFYo8VxTRvVi2iIaqIOp0tDrxRV36jbFN3RsMdiEkW0Xo2dUfqnMBRfxu9Lr8iFHObmHwED7IHgCTHEVRqKsoI2xefL/7GYxGACytrVeUMKqsrKSlpaVHPYPNZuPEiRPMnDmToKAg/P39KSwsZMeOHURERDhcy1SmNlqtlk2bxqb/nMlkoqysjOTknnWmRqORxMREEhMTB3WsgIAAJEmivLyc2NhemmT2wuHDh9mzZw8AYWFhPPTQQ4Mf/DApKSlh27ZttLcLw52h1Bf1haenJyEhIVRXVw/7WENFI8nICsg2WQQGprC5zxWHd6RYYL2U4mPiZ1gf31GNVmQHTUV8IkWvzkmC+m2cbBhcxC3qanj0ELx1l+hWHBArxMJDu4QQOvsuVGSIW29toIw+kPxfQlwcf0lYX1/7O1j80MSzCb8UV//OHkZu/sI7v+SE+NvFV3SBvhxhpChCGEWtnvjvwQjRXFeDta2tX0c6EK50AO1mMy59N5mfUlRWVvLSSy9hNptZv349ixYtIj09HavVikajobm5mSVLlgBigrx582aee+459u3bx003TV17d5XxobCwEBgZUWAwGPDx8Rm0M52iKBw/fpzAwEBcXV0pKCjAarWi0+mwWCyUlpZSX19PUFCQIxo1khw/fpyWlhbmz5+Pq6vroNzoBoOPjw9ZWVkjcqyhIEkKiiyEkQbUiNFUwns6pL0p6oa62lRfPCbmZiFjXNOmMmRUYTSZcQuA+z6C9x4SjUg3/LqzF1Bw3OCPs+pHgDJ5wreuXWww3QLF37YO624XHyH6hmLXbbOI/N6Kc9B4Ea4ega7Vk4S6UmHV7TVAKp1DGLWaRn1M44nNZqO8vByz2cyHH36ITqcjJiaG3bt3s3//fqzWzqbCnp6ezJrVGU0NCAhgwYIFnD59mrVr1zosnVVURoKCggL0ej0hIf1/VwdLUFAQJSUlg9q3uLiY+vp6Nm/ejKIo5Ofn09DQgK+vL9u3b+fcuXOASNF77LHHRmR8dqxWK+fPnyc2NnbEFxx8fHxoaWmhra1tSDVLw8WRSmfrSKWbLNdelYHxng4oUF/U3amt+JiICOmN4zUylUGiCqPJjsEFbntNGA6EJFzeMSZbGL9rfwB7Kp0dFz8RMbq0Y7Mdi1nkvNrz49tNIuKWK7qo4x4CswfR2GwSIdtsfRor1Hf0MPLpx6obRI0RgMU8dS27FUXh7bffJjs7GxCr6g8++CCBgYEcOHCAhoYGlixZgtFoJDMzk+Dg4B6OXsuWLePEiROkpqYOuw5CRaUrBQUFRERE9NvMdCgEBgZy7tw5zGZzrwYNXTlz5gw6nY7Y2FiHzXddXR2+vr6UlZURFRVFYGAgX331Fc3NzSOaSpqXl4fZbGbevHkjdkw73t7egHCp660P1GihkRRkGWRZQZJkNWI0lehq2W0XRjaLKF1Y9MA4DUplKEyyGbFKr2h1nZGiK4FuEaMAUXNkx55KV53d83HNVfB/88BnBiy4E5BEI9fSU7DxzxB/Bximziq/Isvs+OuTZKccxs3Hl7A581l11wO4+XQ6MNWVl6LV63H39evnSJ01Ru3mqWvZnZKSQnZ2NqtWrSIiIgJ/f388PITr46V1HVdddVWvx/D392fWrFmkpqayYsUK9GrjRpUh0NLSQklJCWaz2RGdDAwMxMPDg+rqahISLnPxqxfshhEvvfQS8fHxGI1GJEnCyckJDw8PQkJC0Gg02Gw2zp07R3R0NE5OTg4xUVdXh9Vqpa6ujnnz5hETE8NXX31Ffn4+cXFDyFgYgDNnzmA0GpkxY8aIHdOO3XhirIWRZBdGNrkjYqROxaYMXYWRnfIzYG3tv7eRyoRB/TaqTD66CiNX/57CyMUHWut7Pq4qU7jstTXBrp+Jbc5ewjFlztgUUI82ljYzTTXVeAeHcuTdN8n+6hBzr16HLNvISfmSvOMpzFq6Ao1Wg4dfAKXZmXgFBiMN0MtE35FKZ5miwigvL4/du3cTHR1NcnLysBy3li9fzquvvsrTTz/tEEY6nY5rr72W6dOnj9CIVSYbdsOOjIwMPD098fLy6hZxrKys5Pz588iy3O1xkiQRHR0NjEx9kZ2oqCg2bdpEamoqu3fv7nG/t7c3c+fOxWw2YzKZmD9/PgBubm7odDpqa2upra1FURT8/PwICgrCaDQOWRhlZWXh7++Pj48PsixTUlKCxWIBOpvVxsXFoR2FXj9dhdFYotXIWBWpw5VO7t0gSWVy4hYAOmN3YXQxVfxUhdGkQP02qkw+XDoiHk6eorjRpUMYGdzE30ZvaGsAm7X7SlxDsfh533bRN8DJTQijSdwvQLbZaKyuwiswiNamRt799c+pLMzDMzCIhopy5q5exzWPfgdJkqi/5S6+eO2fXEg/iQK01InJwMwlAzvwddYYTX5hVFdXx549e8jJyXE0Zc3Ozsbb25tNmzYN24Y4MjKSpKQk6uo6DUAuXrzIe++9x+OPP47RqOaYX2lcuHCBjz76iJqaGvz9/ampqaGpqanbPkajkaVLlxIbG4urqys6nQ5Zlvn000/JzMzE2dm5m033cJEkiYSEBBISEmhqakKWZWRZpq2tjYqKCk6ePMnhw4cB8PLyYubMmYCwuvby8qKuro6amhoA/Pz80Gg0REZGkp+fP+h+Z+Xl5bz55psO8VdaWkpjY2OP/UYyAtUVJycnXF1du31XxwJJoiNipCBJql33lEKSult2t1TDuQ/AI1S0RlGZ8KjCSGXyodUL8WMXRPYIkktHPw6jSPXAXN89mlRfJH56ThN1RpMcq8XCR3/6XwpOHWda7DzMzU3UlZey/JY7Kc3OxCdkGuseetwxQfEKCmbzD3/ueLypoZ6ic+kERs0c8LnsNUbtk7zG6OTJk+zcuRNJkoiNjaW0tJTm5mbWrFnDsmXLMBiG70YoSRLr1q3rtq20tJQXXniBTz/9lC1btgz7OVQmF3q9Ho1Gw5133sns2bORJKnXyFBvYuKOO+7gwIEDGI3GHjVtI4W7e/f+IkFBQcTHxzvGeOnYfHx8qKurc1hd2xukRkVFkZGRQU1NDX5+/afnAo56voULF3Lu3DlCQ0PZsGFDtxolJyenUU1z8/b2HvOIkUajIFslZBnVfGEq4hMJuXvgxWugMgPaW2DDr8Z7VCqDRBVGKpMTV/9OQWQXP/ZIkl0YtdZdIoyKRVfqAUSRoig019Xg7jPwhX2sqSzMZ/cLTxMaPYeakmIKT58gbu21FKSdoLWpkZt//Asi5g/ODtTF04uYq1YNal+D0QWYvKl0bW1tpKSksH//fkcKkaen8B0f7Or2cAgJCWHVqlUcOHCABQsWEBUVNarPpzKxCAkJ4bHHHusmbAYrcrRaLWvWrBmtofVLX2P09vamsLCQ6upq3N3dHY5u9s/1+fPniY+Px83Nrd/XmZOTQ3BwMDfeeCM33njjyL+AQeDj4+OwQh8rNJKCYk+lk+RBZS3U19fj4uIyIos3KqPMqh909FfMhhlrRGsU/+jxHpXKIFGFkcrkZPk3waljldPoA0idESRjR+ToUsvuhiLwHLj/xbEP3+XwW69yy09/NWiRMVac2beLyoI8qgrzsVmtrH/4W8StuxbZZqO9tRXnUWosqtXp0Gi1k8Z8wWq1kpKSQkFBAWVlZZhMwmY8Li6Om266qZuz12iLIjsrV67k6NGjnD59WhVGVyCjFe0ZD7y9vWlvb+fChQvdIkM+Pj54e3uzd+9e9u7dy5IlS9i4cWOvxzCZTFy8eJFVqwa3ODNa+Pj4kJ6ejsViGTOzFEkDsiyihpIkD7h/W1sbzz77LEuWLOkRjVaZgIQuEjeVSYkqjFQmJ11tL7U6kUZnjw51jRh1pb5owJNVa1Mjx7ZvA0Vh9wtPc/+TT6N36t/KdqxQFIX8k6lMX7CIjd/+AU01NfhOE0JPo9WOmigCIR4MzsZJU2N05MgR9u3bR0BAANHR0fj6+uLn58fs2bPHbYJq74mUkZExppMwFZWRxm5aUF9f362XF8Btt91GSUkJJ06c6DcSk5ubi6IozJ49u899xoKur8Xf33+AvUcGjQZkxZ5K10sD9kvIysqira1t0H2nVFRULh9VGKlMDW76W6dNptFL/OwqjGQZGkpg7s39HubYh+9iMZtZ+9Dj7H3x7+x98R/4R0Qi26zEr7/OkVLWFZvVikajGdDZbbjUXCyisaqCxM23YjC64Dut51hGisOHD1NbW+uIpmi1WiRXtwH7GCmK4nCUGs2UD1mWyc7OJjQ0tEd9RGNjI4cOHSI2Npbbb7991MZwOcybN4/Tp0+Tm5tLbGzseA9HReWysFt2Q2d9kZ3g4GCCg4Npamri4MGDtLe393ouyM7OxtXVdUxtsnujqzPdUIRRU1MT+fn5+Pr6EhQUNKT+UhoNjlQ6STOwMDpz5gwgzCrGIvVXReVKRhVGKlODmC7pGr1FjJrLQbZgdgqkr/jPxfNnOfXZx8xZtYYFG66nqjCf9L2fOe4/+elHLN10C06ubjRWVlCYfpKqC4W0t5rwnRbOlp/8Dx7+ARSdTaelroaQ6Fg8/ANH7CKWf1JYfkYuXDwix+uLsrIy9uzZ063Y22Qy4ebuQ7vZ1OfjCgsLef3117F2CMWkpCRWrlyJJEk0NTVhNptxcnJyTEQuB0VRyM3NZffu3VRWVuLi4sLmzZu7rTrv2bMHWZZZv379ZT/PaBEZGYnRaOTcuXOqMJrEKLLM9id/RUTcQuasTB7VaO1ExMvLy/F7XyYLwcHBKIpCRUUFYWHdU5htNhu5ubnExMSMe4qhXeQVFxfj5+fHxYsXyc/PJzAwkISEhB4ukhUVFRw4cIDMzEyHOYVGo8HDw4PAwEC2bt3qEIKKotDQ0MDFixcpLi6msbERZ2dnTJIZWdEgK4gao34wmUzk5eXh4uKCyWSiubm5x2LQUKipqaGwsJDGxkYiIyMJCwsbFSt0FZXJiiqMVKYezl7C/tRuzw1QX0SLVc/zz37KeutM5iV3Tpqba2vY+bcnuZhxFhdPL6667S4Akh98hNiVq/EODqWhspw9LzzDvn8953hcYNRM5qxag7OrK6c+38Gb//1DAqNmkXc8xbFPaMwcrn3se3gFDX5VtLlORGqc3dzQ6jrTrfJPHiNg+oxRN4U4ffo0Wq2Wb3/727i4iKjUtm3bOH/2DG2tfUeMTp06hVarZfXq1ZSXl3Pw4EFSUlJob2/vtl90dDSrV68e8kpxTk4OX3zxBSUlJXh7e3PDDTeQmprKG2+8wdatW5k/fz6lpaWkp6eTlJQ0LAE2Wmi1WubMmUN6enqfK+kqE5+Whnpa6uvZ//JzHPr3v1jz0KPMT94w3sMaM/R6Pe7u7jQ1NfUrjEAstFwqjC5evIjZbO6RhjceuLi44OrqyuHDhx325M7OzqSlpbFv3z7mz59PQkICJpOJ8+fPk56ejpOTE8uWLWPevHnU19dTVlZGRUUFWVlZFBQUEB0dTVFREdu2bXPYsut0Ory8vIQduWQlSJFQZGHE0B8ZGRnIsszKlSv5/PPPqaiouCxh1N7ezieffMLp06cd2w4cOIC3tzcPP/yw41x/OdTX1+Ps7Iyz88RIO1dRGQ6qMFKZemg0EHU1ZO6Ea34jHH/qi2mwOCPbZL567y1iVyaj1emQZRs7//YkFXm5JN//MPPXXOOwptbp9UyLnQeAq5c39/z+KRorK1FQcHZ1w+ju4XjK2cuSeO83/82F9FMk3Xk/0+MXUnw2jZT33+bVH32bax77DtHLVw449IuZ53jnf/4TRZHR6vWse+hx5iWvp7WpkdKsTBK33DY671kHVquV9PR0YmJiul0o4+PjOXfuHHV9pNJZrVaysrKIiYkhKSkJgISEBDIyMnBzc8PDwwOj0UhFRQVHjx7ln//8J1u2bGHu3Lk0NjZSV1eHs7Mznp6ePS6u9fX1fPrpp2RlZeHl5cUNN9zAggUL0Ol0xMfH89JLL7F3717mzJnDwYMHcXZ2doxhIjJ37lxOnDhBTk4Oc+fOHe/hqFwGbt4+3PPbv1BRkMeZvZ8TEHHlmWn4+PjQ2tqKh4dHr/d7eHjg4uJCWVlZj/uys7PRaDTMmDFjtIc5IJIk8bWvfY3KykrMZjMBAQEEBwdTWVlJamoq6enpnDp1ChDiZtmyZaxcudJxfgwJCWHOnDlYLBZ+//vfk5+fT3R0NEeOHMFms3HdddcRFhZGYGAgWq2WnTt3cjr1OIqiQZYlKpwb+fDDD9m0STQZr6mpQafTOVwzz5w5g5+fH/Hx8Q5hZO8pNRgqKiooLi4mNTWViooKkpKSiI+Px93dnaysLLZv386uXbvYvHnzZb1/dmMIJycntm7dSkRExGUdR0VloqAKI5WpSexN8PETUJ4OwfHQUITJKqIvjVUVnD/8BfNWr+PYB9u4mHGWax//HnOvXtvvITUaba+Rn5qaGtq0eu578mkUWcbo4UlraysxyYHMWpbEJ3/7Izv/+iQ6g4EZixJ7PN5kMvHVV19x/PhxXOqrcPP1ZelNt5B99Es+/8dT1FeUk5v6FYoiM3PxsiG9DTabDYvFMuBKXlZWFi4uLjQ2NtLa2kpCQkK3+2fMmIFOggal97TA/Px8zGZzt4n+jBkzekx85syZQ2JiIm+++Sbbtm0jNTWVCxcuoCidq6Z+fn7MmDGDuLg4CgoKOHDgAADr1q1j2bJl3XL59Xo9ycnJvPHGG+zatYvMzEyuvvrqCb1yOX36dLZu3TqkyY3KxCQwcgaBX398vIcxLsyePRsvL68+U+EkSSI4OLhXYWRvrjxRvqe+vr49aqWCgoK48cYbWb9+PdnZ2Xh6ehIaGtpnLZFeryciIoK8vDwsFgt5eXksWLCAxMTu53ytVosMjlQ6k85CWloa11xzDU5OTrz22msYjUa+8Y1vUFtby4ULF1izZg0uLi64u7tTUVEx6NdVUFDAK6+8AoCbmxt33313tyhdfHw8VVVVHD58mPnz5xMeHo4kSUOql8rIyKCtrQ29Xs/LL79McnIySUlJ454iqaJyuajCSGVqEnMD7PgeZHwohFF9Ea1akUvu5uPL0fffpjQrg7P79xCz4mrmrLq8PiF1dXW8+OKLtLa2cv311xMUFMT7r7zq6KQeFBTElse/x+dP/YEP/vEMxrCd1Jta0RldcPbwpN1qw2QyoSgKLk4GagyurLomiQXXbGRe8no+/NP/cvSDt3H382fzj37erRlrW1sbiqKg1Wp7OJzV1taSmppKWloaJpMJZ2dnjEZjt3qnkJAQVq9ezYkTJ/jqq68AYZjg4eHRw05aq9Xi66SnQlYwmUw90i4yMjJwcnIalA21i4sL9957L++99x4lJSUkJSURERFBW1sbNTU1FBcXc/z4cY4ePQpATEwM1157bbe6hq7MmjWL0NBQjh49isFg6DERmWhoNBrmz58/3sNQURkWK1asGHCf4OBgjhw5gtVqdUy26+vrqaysZMOGyZF66OzsTFxc3KD2jYqKYvfu3Zw+fRqLxUJ0dM/eNVqtFgUFWdGgyKBICrIsk5+fj5eXF/X19dTX11NcXExWVhaSJLFggWgbERgYOCRhVFlZCcAjjzxCUFBQr/WuV199NRkZGbz22muAEHizZs3Cw8ODgoIC9Ho9a9asISAggMzMTBoaGgBxXg4NDeXUqVP4+vry8MMPs2PHDvbt20dhYSG33HLLsNLzVFTGC1UYqUxNXH1hepIQRmt+DvXFmHRiRXDVXQ/wydN/ormulvlrNnD1vV8btEGCzWYjNTWV8vJyZs6cycGDB5FlmcjISHbu3IkkSXh4eHDNNdcgyzIHDx7kX6+8inPQdJqdPGm2Kbi4umNtbqSpoQ5PH1/mJiTgJrdzavs7KJGxHEk/S+T8eCIjI9n0Hz8l78QxohIWo2g05OXlkZ+fT1ZWlqPrPIgoS0hICMHBwdTX15OaKowaoqOjCQ0NpaGhAXOXNDhZlsnKyuLs2bMALF26FC8vL1JSUli2bFmvq33BHm5UtNby7LPPsmzZMmbMmIGvry9Wq5XMzExiYmIGvdJoMBi44447+nzfTSYTmZmZeHp6DphuI0kSycnJvP766yxdulS9GKuoTBCCg4ORZZnKykpCQkIAES0CJkR90UgzY8YMdu/ezb59+3BycmL69Ok99nFEjJCQFQmlw647JycHNzc30RrBYODIkSMUFRURHR3tSFcMDAwkPz8fm802KMOEuro69Hp9n6IIhBC66667SEtLw2Aw0NDQwPnz5zGbzYSHh1NbW8urr77q2F+SJBRF4ejRo2zZsoWioiLWrl2Ls7MzW7duJTIykh07dnD06FGSk5OH/iaqqIwzqjBSmbrM2QQ7vw+VGVBfhEmKwGDUEJO0GhcvbwIiZ2B0G3wRa3l5OR988AEVFRUYDAZOnz6NJEncc889TJ8+nb1799LW1sb69esdKSIxMTFs27YNrVZLcnIyMTExGAwG2s2tnPzkI45uf4fzZ4SICY2Zw+oHH+S9j3fy+uuvc91111FRUUFaWhrW3fu6OSBNnz6d+Ph4dDodZrOZsrIyCgoKSE9PR5IkEhISSE5O7rdIt6mpiSNHjuDn58eiRaK/01VXXdXn/t4e7ridOoFv5Bp2797N7t27u90/1HqZ/sSoi4sLCxcuHPSxZsyYwb333kt4ePiQxjCSKLJMdfEFvAKDHXVqKipXMnYDhry8PMc58fz583h7e/dp2jCZCQwMxNXVlZaWFubNm9frQpFd0MgdNUb27OScnByHmAoKCnJE8e3nZvvxZVmmurqawMDAAcdTV1eHt7f3gAt/fn5+rF3bmUp+/fXXI8syOp0Oi8XCiRMnMJvNxMbGEhAQQGNjI88//zxvvfUWkiQRHx8PiHP6okWLOHr0qNpzSWXSogojlUlBbW0t+fn5AISHhxMQEACIwlJ70X4PYm+Ez34Cr28FUw0mOQYXD5FOFjF/wZCev7i4mNdffx29Xs9tt91GdHQ0Fy5ccIgUoNfUEF9fXx599NEe2w3ORpZtuZ25V68lfc+nBM2cTdTCpUiSxIMPPsibb77Jjh07HGlXHh4eaLVaQkNDCQ8Px8nJqddxNjU1Icty7+/HJbi7u3PNNdcM+j0wGI1IjbXcd++91NbVUV5eTk1NjcOhajxrZiRJGrdCbkVROPLO65zZt4uW+jrmrl7HtY99d1zGoqJyKYqikLb7U1obGxzbdAYDC67ZOOrNq729vTEajezdu5e9e/c6ticmJk7JXjySJBEVFcWZM2d6TaODTmGkdIkYaTQampubaW5uJjExkVmzZpGSktIjYm4XQxUVFUMSRkNFo9E4sgb0ej3LlnWvbfX09OT222/nlVdeISoqqocBR0hICDk5OWrPJZVJiSqMxph2cyvNtbXdtnkFBqGZ4H0ESrPP88nTf0Kj1RG39hqmxyXgFRSCzmDA2t5OzrEjZH55gHZzK3qDEyvvfhD/8OkDHrck6zznDuwh+b6H+1xlb2ho4J///Ccmk+ihExYWxkMPPQTA22+/TVBQELfdJtzannvuOeLj48WJ3C0A7t8Bu34GTWWYbE4YByEYLuXixYu8+uqruLu7c9999zlqXQZTTzMQ7r5+rLj93m7bXFxcuO+++0hLS2PmzJl91tb0erxh9LcYCIOz6OfRbm7Fz8+vx4pvRX4uu577G7f87FfdHPumOinvv0XK+28TtWgpss1G5uEvWHnn/bh6DX1CoqIy0hSfO8PeF//eY7ubtw+xK0c31UmSJO69916qqqq6bZuKaXR24uLiKC8v7/M1OoSRpGCTtSgSREREUFBQAEBsbCzu7u5s2LABb2/vbmnNvr6+uLi48Mknn2C1WklISOhTeCiKQl1d3Yhcp3ojPDycRx55BLdeeniFhIRw+vRpGhsbB7VIp6IykVCF0RhRX1HOse3vkPnlQSxt3S2PQ2Pmcuwv5x4AACAASURBVOvPf92tZ814YrNaANDq9Mg2G6d37eTAay/h7ueH0c2dA6+9yAEASRKW1zYbiizj4R+Ih78/ZXk5fPjkr7jnt0/12/iwtbmJHX/5Lc11tVjb27num9/vcZK3WCy8/fbbWK1Wvv71r3Ps2DFyc3PFOG02Rw414Egp8/Hx6VzhCk+Eh3ZB+Rla//w8Hh5DP0nb88UffPDBURUeXdHr9SxePLqNXIeK3i6MWltxdu35fz29ayeVhXmUZJ1n5uKJbYBwOTRUVpCbmoKkkZi19CoMRiOZXx7kyDv/Zs7KZK795vepLy/lpe89yuldn7DitrvHe8gqKmQc3IfBaOTRf7yGzmBAlm08/bU7KMvLHnVhBGKSbK8vuhKYNWtWv8LPURskyUIYoeDh4UFERASSJDmuMcuXL+/xWJ1Ox9e+9jU+/vhjPvroIxRF6ZZq15WWlhYsFstlRYwGiz1z41LsKZSlpaWqMFKZdKjCaAxQZJntf/glDVUVxFy1irC5cQ4B0FBZwZdvv8b+l19g5V0PkHc8BaO7B+Hz48dFKFna23jr5z+irryUqIVLqCzIo66shMgFi7ju2z/A6OZObWkJlQW51JaWYLW0I0kS4fPiCZ8bh6TRUJqdydv/8xM++duTLN10a4/n0Oi0eAWFsO+lf2BqbGDOqjWcPnuOvD/9keh58wkKCaGpqYmqqiouXLhAXV0dt99+O9OmTXPU0bS1tdHS0oKiKNTX1ztWxwDRQK8rkgTBcZiaGgmaOXtI70dlZSX5+fmsXbt2zETRRMXQEdGz9NLLyGa1kHPsCACVBXlTShhZ2sx89sxfyD76pWPb/pefF58rRSEkeg7rH3kCSZLwDg4lauES0nZ/QuSChWSnfEmbqQWNRsvSzbfgGRA0jq9E5UrD0mYm++iXRC9PckTktRoNgZEzKM/LGefRXZl0ptJ1RIw6tt1xxx2Deryfnx/3338/Tz/9NFlZWX0KI/v1cDSFUV/YzR5KS0uJjY0d8+dXURkOqjAaYRRZ5sLZNM7s/Ryb1coN3/kR+SePUXOxiOuf+CGxK67u8Zg2UwvHP36fcwf2Ym1vA8DZ1Y0NjzzBrMS+i+FHg/0vP09lYR6zl6+k6MxpXL282fSDnzFjcWdOuE9IKD4hoX0eI2R2DMn3P8zel56l4PSJfp9v4ZY7KG6TaQsMo72mhiNffSUmnIiUstDQUJKTkx0nV/tJvq6ujpaWFkDYVre2tjouBHY70a4oskxrYwMunoNPSwM4evQoOp2uz4vPlYTBKNze2s2mHvcVpp2iraUFSaOhsjB/rIc2ajTVVPPxX35LWW42y7bewdxVa5FlmZxjR1BkmeCZ0YTGzkXXxS590fWb2Parn/Lmz3+IVq/H6OGJqb6OdnMrG5/44Ti+GpUrjdzUFCzm1h7tCIJmzOb0rp3YrFa0Q+hZM1n5/B9PUZqdCYBPyDTmr91A+LwF3b63Y0XXiJFV1iFLouWC0Wgc9DE0Gg2RkZGcOXOmT4e68RRGer2egICAXntYqahMdAZ1RpQkKQz4C7AekIA9wHcVRSka4HGLgW8Aq4BwoBo4BPxMUZSCS/bVAD8GHgGCgCzgl4qivDeUFzTe7P3Xc6Tt2omzqxvmlmb2vvQsFXk5eIdMI3p5Uq+PWXnn/ZibmwCYl7wBc3MTX77zOrteeJppc+aNWb1GxqH9nNn7OUs338rKO+/vtXDSZrORmZlJbW0tZrPZsc+sWbOIiIggJyeHw4cPo9frCd98F2EB/gT5+1FwsYSCiyUOZzWtzUa7xcLBzDy0Wi3XX3cdPlqFsvw8jn7yEZFz5rHlBz9AusQ2ujdhZP/bfiGwGxB0zc02m1qQbTZcBplKZ7VaaWhoIC0tjbi4ONUCGhwrzr1FjLKOHMTZzZ2wufMn/Uq0tb2dYx++S8ahfTRUlKPTG7jp+//JrKWdixSJm3tGQu2EzY1j+S13YnT3IHZlMs6ubhx4/SVO7NjOitvu6bVJsIrKSNLa3ISpvp6z+3fh7ufPtJjujpFBM2dj27md6qLCbr3Rpioe/gG0t7aiKDIlmRnkpgrHN53eQNKd97Fo4+YxG0u3iJGiR0FB6bguDoXIyEhOnDhBaWkpYWFhPe63Xw+HUqM6kgQHB5OdnY3JZOLAgQMsX7583MaiojIUBhRGkiS5APuANuB+QAF+DeyXJClOUZSW/8/eecdHUef//zm7sy2btum9JyQhBRJ6ERBQwF5A7N4d6p3tvNPzd2e58/SKend6evLV89TzrIgFFEUREKlSQoc00guk102ymy3z+2OTNSEB0hNwno8HD8jMZ2Y+s2R35/V5v9+v91kOXw6MB14CjgPBwBNAhiAIEyRJKu0y9mngYeAxYH/HsR8JgnC5JEnr+31no0TSnPkExycSO3k6uz/9kD1rPgRg8X0PoVD0brCgUCq59Oe/7LbNw9ePd377S7a99xaX/vyB4Z42RYf2s+GVFwlJTGLmsluAnnbKR48eZfPmzTQ0NDjmrVCgVCqx2Wzs3LkTg8HgdMHR6XSU1tRwPCcXURSxWq14eHig1+uxWq00G1uw2WxMnTqV6dOnO/OQYyZNQ+/qypb//Ye9n3/S4wH0TMKooaHB+UUgSRLNzc3dcptbGx1z1vUhYpSTk8OqVauQJEd/iSlTpvT9hbyAUXepMeqktamRloZ68jL2ED9jNobAYE7s2UVbc9N5acBQWZjPFy88Q0PlKSInpJO6cAlREyfjHdLzweNMCILAjKXd64vSL7uag199zr51n7DwzvuGetoyMk4qC/L48MnfOmtZp15zQ48FpsCOlOKK/BNDJozaOhb3+tMCYbCYW1s4mZNF5MSz12NOv+5G579tVgsFB/ZRV17Gkc0byM/YMyrCCMEhhmySnfx938MVV/TrPJGRkQAUFhaeURi5urr2aP49nBzfupmguHgMgcFOA4Y333yTmpoaBEFg0aJFIzaX/tDU1MT69esRRRF/f3/8/Pzw9fVFFEWam5s5cOAApaWlJCQkMGHCBKdLrMyFSV8iRncCUcA4SZLyAARBOAKcwBHdef4sxz4rSVJ11w2CIOwECjvO+/uObX44RNEzkiT9vWPoFkEQYoBngPNGGAXExBEQE0dtbS3hM+dSU1pMc0010ZOnYzQa0ev1TsFRX1/P4cOHCQwM7GHt6RMWQdqSq8hY9ynNtdW0m9oIT0plwqWXD6nblaXdTH7GHja88iLeIaFc9fDjvTrkVVZW8umnnxIQEMDixYuJiopCFEUEQcBisXDw4EGOHj3KxIkTmTFjhrP/QVZWFgUFBcTHxxMXF9ctinMmK8+Ji6+kNPMoez79kEmXX9Mt1UOn06HRaJzCyNXVFaPR2C1iBPRww2nrSK/rS8Roz549uLq6MmfOHLy9vQkIkOtCAFw6VvsOfr2OwNhxZHyxhox1nzr3x8+c61z5rCosIDylf5boY4Ft775Ju6mN6x//U78t3c+Gq8GL8XMWcPy7TUy//iZcDV5Ddm4ZmU5amxr5/Pm/oHF1ZeHd96MURSJTe6YBu/v6o3VzpyI/l9SFi4fk2l+++BxKlYprHvn9kJzvbLQZm9n27ptk79qG3Wrl7lf+1+c0aaWockZ/GyoryN+/Zzin2vP6XSJGjuauApa2nunJ50Kv1+Pv709hYSEXXXRRj/0DteoeKJUFeXz9fy8QljyBpY//yWm4UVdXh7e3N5mZmVx66aVjzr7barWyevVqKioq0Ov1zqbnXRFFkYCAALZu3crWrVsBxyLtz3/+8zO2zpA5f+mLMLoS2N0pigAkSSrsEDhXcRZhdLoo6thWLAhCNY7oUSeXAmrg3dOGvwu8KQhC5Ompd2OV3Nxcdu3aRVFREeCw4fRNmMDzL7yA2WxGq9Wi1+uRJIm6DttupVLJz372M4KCgrDb7QiC4Fh1vv4mKgvyMBmbUYoqdq9Zzd7PPsY7OBQP/wDaTSYkm425t9+JX0TfLDntNhvHvttIfsYeWhsbqCkrwWo24xUcyvWPPd2r25gkSWzYsAGNRsOtt97aI61MpVIxZcqUHpEVlUpFSkoKKSkpvc7lTB+QgiCQMHseeft2U1mQR1BcfLd9nZGplpYWAgICKC8vdwojHx8fampqaGxs7LaK1trcN2HU0NBAQUEBc+bMGXOucKONm5cPC++6n2/ffIXX7rkDu81G8vxLCUtKxdXgRXD8eGdKaFVR/nknjJpqqik5foTp1y0fUlHUyaQrr+XI5q859u03TLuub4XWMjJ9Yd0Lz1BXXoql3UxLQz3Ln3z2rEYzgiAQGB1LRV7ukFxfkiQq8nJHzFxk3+efcHzrZpLmLSRl/iJ0A3AbBfAOCeXYlm9obWrsc5r1YDk9YoQgYGltxW63nTGr5ExERkayb98+LBZLj8hQfX29s8feSLCvY5Gs5OghKvJPEBAeSWxsLGlpaZjNZtauXUt5eTkhISEjNqeuVFVVcfz4cXJyclAqlXh5eWEwGKiurqasrIylS5cyfvx4TCYTVVVV1NbWOpvcxsXFodPpqKurIy8vj/r6er7//nuOHz/er0bkY4GGhgaqq6sRRRGDwSCnN/ZCX4TReOCzXrYfB86caH8GBEFIAPyArNOuYQbyTht+vOPvRBxRpjFPRUUFDQ0NXHzxxajVanbs2EFZWRmJiYkEBQVRV1fn7MeTkpLCuHHj+OCDD1i9ejXjx49n3759uLu7M2PGDJKSklj2+784z11/qpxjWzZSU1pM/amTqHU6GiorWPvc09z8l+fRuOipyMvFZrNibTdTW1ZKU001dKSEAZRlHaO2rARDYDAefv4kzV1IdPoUQscnn9EFLzc3l4KCAhYtWjRitTYhCUkAlGYe7SaMwLFSU1VVRUtLCyEhIbS2tlJfX09DQwMTJ06kpqamhzNda2fE6ByriocPHwZgwoTz66F+pEiZfyk+oeHs/PBtJlx6ebe6GwCdmztu3r7npQFD1vYtIEkkXjT/3IMHgCEgiJDEJDK3b2HqtTeMuZVTmfOTpuoqcnfvwC8iGleDKxfddEef3DcDYuIoPHyA8pwsZ1RepdXiFRTS799NY30t5taWXo1ZhoOiQ/sJjk/kkrvuH9R5fELCAKgtK8ElMXnQ87K0m8neuZXa0mJm3XiH09zBbrM5MzG69jHqFEeS3U5LQz1uXj69n/gMREZGsnv3boqLi7s12LZarTQ1NY1YxKixqoLc73eQsmARObu2s++zj7ni17/j5psdKcVtbW0oFAqysrJGTBgdPXqUsrIy7HY7RUVFzl5aYWFhKJVKSktLOXbsGJIkMXv2bMaPd9ThabVawsLCCAsL63FOLy8vpkyZgiRJnDhxggMHDowJYSRJklPgtbW1YbFY0Gg0aLVatFotkiRRW1tLQUGBs19WJxEREYSGhmK1WomKiupzj7HW1lZ0Ot0F+T3WF2HkBdT3sr0O6Ne7ThAEEXgVqAbeOO0aDZLU5Qn+h2t07u/tfHfhMHfo9Zd4NJg+fTqzZs1ypoxNmjQJm8121nDrsmXLePPNN9m5cycJCQnU19fz+eef8+WXXxIeHo5Wq8VqtZKens7sm+4AHB98oihSWZjPqj88wqo/PILJaHSu2Hei1bsidEmNc/U0cOVDjxIzefo5f6FNJhMZGRns3LkTb29vJk+ePMBXpf+4uHvgHRJGWebRXuuMsrOzkSQJg8FAS0sLJ06cwG63ExgYiFqt7uFM56wxOkvdi91u5+DBg0RGRo6Kk8/5QlBcPEuf+MsZ9/tFRlGRn8vuT1aR2+HepnV1JWHWPOJnXuSsVRpLSJLE8a2bCY4fj6f/8K16J86+mG/+/RIVebkExo479wEyMueg6MhBAJbc/xDeIX3/HgyKSwBJYtXvuzsl+oRFED/jImffMgAXDw9iJk8/o4tbbanDh6lr/eFw0dJQT3VxIbOW3zboc3k5hVEpoYMURlk7vuPbt17D1OxYlBPVWmbecAub33yVnJ1bWXz/Q0RNnNylNsWOhEMYCZIdY21tv4VRREQEer2edevWsWLFCmdLiZqaGmDkHOkyvliLoFAw7brl6Nzc2bP2I+pOljvda3U6HVFRUWRmZrJgwYJhf5hua2tj7dq1CIKAUqnE39+fJUuWOJvndmK1WjGZTL02qT0bgiCQnp7Ohg0bqKysxN/ff6hv4ZyUl5ezfv162tvbaWtrw2g0nvMYg8HA3LlziYyMxGazUVpayuHDh9m+fTtKpZLdu3ezbNkyEhISqKuro62tDa1Wi1KpdPbYUigUHDlyhDVr1pCWlsbll19+wYmjvvp0ni5YwOFO119eBmYAl0mS1FVsCQO5hiRJrwGvAUyaNKm340ec08PZoiginsMONSQkhBUrVqBWq/Hx8UGSJIqLi8nOzqagoICmpiba29v54IMPmDhxIs3NzeTn5zN//nxmzZrFkvsf5uuVLxCRmtbhgqXHBrj5+CFqtNhsNqcbXCcmk+mM9qClpaVkZGSQmZmJxWIhOjqaSy+9dMSLDUPHJ3P8u809LGUNBoPTGKFTGFksjqa0Xl5euLu794wYNTWidXPvtX7Kbrdz6tQp9u3bR0NDA/PmDX/TwwsZv4ho8jP2sHP1u4QkJqHVu1F3soyNr/2L3Z+s4tbnXhrRAu2uNFRW8N3br2Osq8HUYgRJQq3V4RseSf2pciZfed2wXj9u2ky+ffNVjm/7VhZGMkNC8dFDuBq88Aruu0EIQHjKRJY+8WcsZrNzW3NNNce+28iOVW/3GK83eBE5IZ2m6krcvH259BcPOh+Iass6hJFp+IVR0eEDAESkDn6l3s3bB7XOhdqy4n4fW19xki/++Sy+4Q4ThOPfbSJoXCIzl91C5rZv2fvZR5iMTRze+BU6N3fWPPsUyfMWYlE73D0dEaOOxxZJorm2ut+fCRqNhptuuom33nqL9957j5SUFGprazly5AgKhYLg4DO31RgqrBYLx7duJn7mRbh5+TBx0RXsXfsxWTu2OI2cABISEli3bh0FBQVER0cP65yOHTuGzWbjrrvuOmtzYVEU+y2KOklJSWHTpk0cOHCAxYuHpk6vr9TV1fHee++hVCoJDQ1FFEXCw8OJiIjA1dUVURRpb2/HZDJhNpudi8jaDmfZTqKiopgzZw6SJNHe3s4777zDxx9/TGBgIGVlZT2u6+HhQWRkJIcOHcLV1ZX9+/fj5+eHm5sb+/fvx2q1olKp8PT0xM/Pj4kTJ46o+cdQ0RdhVE/vERsDvUeSekUQhL/iiO7cLknSN6ftrgMMgiAIp0WNDF32X9B0ffMKgkBERES3/GCr1cqmTZvYvXs3bm5uhIWFsWnTJmw2G7NmzeLeN1eRl5fHoSNHKCkp6dnk9DSUSiUTJkxgxowZeHt7A47c082bN3P06FE0Gg3Jycmkp6ePyIdrb4QmJnNow5c96oy6roJ1CqOuP3t4ePSIGLU1NqB192TlypX4+fmRnJxMVVUVeXl5VFRU0N7ejiiKpKWlOUPqMgMjcfY8mqorSVmwyLEqjSMiU3z4AJ8++0e2vvMGi37x4KjMLXf3DvIzdhMxId2ZMmRsqCdn9w40LnripvVuqT9UaFz0RE+eRs6ubcy7fcWoNHGWuXCw222UHD1EdPqUfq/adjbmPp0Jl16GyWhEkn5YTKssyGPfuk/J27cbvaeBkmNHCE9Nc/blq+mIGFnN5gHVyvSHosMHcPHw7HNd7dkQBAHvkFBqy0rPPfg0jn37DdVFhTRWVWBuaWHSFdcya/ltKEURv8goio8c4PDGr4iZPJ0l9z3E5jdfJXPbt1hVWoiIp2vEyCGMagd0D8HBwSxdupQPP/yQb775BqVSSVJSEjNnzsTX13dA5+wPZZlHsZjaGDd9NgB6TwNewSFUFeZ3G5eYmMiOHTt4//33WbRoEQ0NDeTl5eHp6UlwcDDTpk1DrVYPyZwOHz6Mn58fgYHD1xpBr9cTHx/Pnj172LNnDy4uLiQkJDB58uRBGzYZ62ppa26ipbWNvKIiTlZUMiE93fnc8uGHHyJJErfffjs+Pr1HGXU6XZ97YwmCgEaj4eabb+btt9+mra2NBQsW4Ovri8lkwmazYbPZyMrK4tChQ8TGxrJ06VI+/vhjvvrqK8BhC+/h4UFLSwvl5eVkZGSQlZXF8uXLzzuDir4Io+M4aoBOJxHI7MtFBEF4DPgt8IAkSe+c4RoaIJrudUaJHX/36ToXMqIosmjRImbNmuXM61y7di1btmxh27Zt6HQ6p+tdRESEM6Ws01JbcZpda0lJCYcOHWL//v3ExMSg0WjIzMxEoVBw0UUXMWvWrCH7kBooZ6ozOl0YdYaQBUHA3d0dd3d3Kisru52rtbkRwd2T6upq6urqOH7cUb4WFBTEhAkTCAoKYty4cf1qsifTO54BgSy651fdtgmCQMSEdCZfeR17135Ewsy5o2LOUF1ciJu3L9f97o/dtlvMJixmM5oRqKFLvGgeObu2UXAwg9jJ04f9ejIXLlWFBZiMzYSnTBzS82pPW0WPSE1zRmjsdhvvPfprtr37JjHpU1Fptd0iLu1tbb2a+AwFkt1O8ZGDRExI72FBPlC8Q8IoOLCvf/OQJLJ3bSc8dSLXPPJ7TMbmbvWrWr0rlz34/8jcupl5t9+FSqtl0T0PsuieB6murmblypXdIkZKpZLmupoB30NcXByPPPIIkiQ5v/dHisKDGYgqNaHjf0hF9I+MpvjY4W7jdDodK1as4MMPP+TLL79EEATCw8Opra0lJyeH7OxsbrzxRtzc3DAajXzxxRcUFhaSmppKamoqgiA4zQ8sFgsJCQkEBgbS0tKCJEno9Xo8PT1paGigrKyMhQsXDnuKV6d46KzhOXLkCFlZWTz88MMD/j9obWrkjV/ehUlU0xYaCwoFgtVCQXExO3fsoKq62hkpPJMoGig6nY677777jPsnT56M0WjExcUFhULBtddey8aNGwkPDycpKanbPR8+fJi1a9fyzjvvcN11151X5Ql9EUafA38XBCFKkqQCAEEQIoCZOMTOWREE4QEcfY8ekyTpX2cY9jXQDtwMdH1iuQU4dr440o0EXcO+V199NePGjaOsrIzGxkYSEhJISEg4Z+oeQGpqKnPnziUjI4MDBw7Q3t7O9OnTmTJlyphxKXHx8MQ7JIwTe3YSP2O20/HI09MTQRCc1t2dbzhPT0+USiUeHh4YjUZnHRY4zBckv2AwWbn33nupr693hoBlRo5p1y3nxJ6dbHpjJT95/tVeUxuHk5qSInzDI3psV2m0qDTangcMAxEpaSxYcU+PppsyMv2luKO+aDhcFM+EQqHk4jvuZtUfHmHvZx8xY9kt1JaVIqo1WNvNwyKM2k1tHN28AWN9HW3NTUOSRteJd0gYx7Zs7JczXUVeLk3VlcxYehMKpbJXU5+Q+PG9vsd7qzHSuepprh24MAJGbVW+4OA+Qscnd/v89IuMIXP7Foz1dd1aE+j1em677Tby8vIICgrC3d1R85udnc0nn3zCK6+8gre3N7W1tZjNZmJiYsjIyGDv3r3Oc3TWvHQubnZFq9ViMBgQBOGMbrhDSWfNTieHDx9mzZo1VFVVDThqlL1zGyalivbIBDz1LsxKTcFUU8H2776jTrIT5uNFTKA/3u5nfnYx1tdRlnWMuvIyQELn7sG46bOHxHmx8xn0ZG4WvuGRXHGG/lupqamo1Wo+/fRTVq5cyZw5c5g+fXqfnk9Hm77M8D/AfcBngiA8jqMW6GmgFPh35yBBEMKBfOApSZKe6ti2HPgnDuHzrSAI07qct0mSpEwASZKqBEF4AfidIAjNwAHgBuBiHJbgMr2gUCgYP378gFO/3NzcmDdvnjPHdCw2LEtduJgtb/2H1x+4E0NAIILgWJFQuPmAybFa5RflcFHxcHfH1GJ0ftg2NTXh5eX4UG5takQMikCtVmAwGJzbZUYWlVrDrBtvZ93zfyU/Yw+xU2ec+6AhwmqxUHeyjOhJU0fsmr2hUCpJXbhkVOcgc/5is1rYs2Y1VUUFVOafwDciqs89fIaK4PhExs24iIwv1hIzeTrtba2EJCRRlnUMyzDUGeV8v53v3n4dAI1eP+TCCKCurBSXRA/ajM2se/6vuPv4kbLgUmc6sMVkYvuq/5E4ax7Zu7ahFEViJk8726l7pbsrnSNi5OLmhnGQwmg0qD9VTkPFKdKWdH9M849y1BBVFeb36NkmiiLx8d2dZuPj4/nJT37Czp07aW1tJTg4mAULFuDv709TUxOlpaUolUpcXV0JDAxEEASKi4tpaGjA1dUVQRBoaWkhNzeXrKwsxo0bNyqLnp0mYCUlJWcURs3NzRw6dIjq6mpMJhPh4eFMnTrVKRgO7NiKKXwc3l5e3HHHHU4h4hcRxYZXX6Iuu5W9wJGvPmfW8tvwCgrG3NpKeU4mFXm51J0sc5pNdWXr268TOXESoeNT0bi4UJ59HA+/AKZes6zf93kqL4cPnvgNaYuvZN4dd51xXEJCAvfeey8bNmzg22+/JS4ublSMKvrLOYWRJEktgiBcDLwAvIPDEGEz8KAkSV1tMARACXSNHy7q2L6o409XtgJzu/z8GGAEfgkEADnAMkmS1vXjfmQGwEiG3fvLxEVXEDN5usOmvKPAF8DW1k5jxUk+feZJABQRCZzcv5uVX3+CNiwK9F7k7N9HgI83EhKm5iZUkoCvr+8F56ByvhEzeRruvv7sX792RIVRXXkpdpsNn7CIEbumjMxQYDIaaayuxGZp57t33uBUbjY+oeHoPDxJXzI6a4czl91M7u4dbHj1RQACY8dRlnVsWJzpakqKETUa7vnPeyhF1ZBGmjuFUU1ZCUHxCax/6W+UZ2dSoTrB8a2bWLDiHlIXLuHolo0c/GodRzZ+hVKlJnLiJDQu+n5f74c+RhJSh123i6s7zXnZQ3ZPI0XBgQwAoiZ27/nXWf9VWZhHVFrf3GyDgoJYurRnBxh3cf3lRQAAIABJREFUd/deF38jIyN7bEtNTcVkMo3aIq+npyfu7u4UFxf36OsI8N1337Ft2zbsdjuenp6Iokhubi4ZGRkOcWS3UabQ4qLVcNttt3XLEIqbNstZA1tbVso3r/2LTa+vdO5XKEX8o6KJSpuCd0goIfHj8YuMRqFUUlNazJHNX5OfsYe8fbsBUKpU2CwWfMMjiUqbjLW9HcluR6U9d+bEro/eB+DI5g1MuXopes8zp8l5enpyww03UF1dPSI1b0NBn2JakiSVAGe1a5IkqYjTXOQkSboDuKOP17DhSLn7U1/Gy/x4cPP2Yfr1N/bYbrNaKNi/j6aaaux2CUEAu81KZsZeqoGtq99D1fSDb0erxUroEOfkyvQfhUJJ2uIr+O7t1x2NAKP71jdhsFQXOzJyO12kZGTGEpIkUZl/gor8Ez9sQ+JUbja5e3Zi63DeVGl1XP7g/3MWu48WhsBgEi+6mOPfbQIgMMbhqDYswqi0GO/gsGFJd3Xz9kHn7sH2998iZ9c2yrKOsfDO+4ifeRGfPvMk33+yisSLLubQhnX4RUaj9zRQeDCDhFlzB3Q9Z8QIO51mvC4enpyqrz2rcUVVUQHl2cdprKogad4l+ISGD+j6Q4XdbuPE3p14BYf2aOyr1rlgCAzuYcDQ0lCPsa6W5toaCg9mUJ6TiahW4+kfyIIV9/aobRsIpzuvjSSCIBAWFkZxcTGSJHVbhK2vr2fr1q3ExsZyySWXOOuD8vPz+eabb/j6668d57DbuOWmm52ZL73hHRLK8ief4VReLjZLO0qVCt+IKFTq3tMpfULDufiOu7n4jrtpqq6iva0Vz4Ag3nv0V2x87V/MvvknbPnff7BbLUy45DLips1Co3dFo9ej1uqoLi6kLPMo/lExKEQVRYf2kzz/Uo59u5H9X67lopt/cs7X5nwRRdB3u24ZmTGHUlT1GnGYsPhK/vKXv5C8+CrSkh0GDhabjTdXrR7yYkWZgZE0byE7V7/HptdXEhgbj1IU0ej1iGpNt9WVwLgEgsclDMk1q4sLEFVqDIFntm+VkRkOTp3I4eCGL846pqa0mOpeGiNrXPQkX3wpYUkpCIICv8ho3H3GxkPGtGuXk7V9Cxq9Kx4d/b+Go8lrbWkxEanpQ35ecDzMXv/Y02R8sYbc3Y4mpSkLHAkuM5bewkdPP8qXL/2N+lMnWfLAb4ifPpuqogL8IgdmOe2ssegSMXL18ECy22ltaMDVy7vHMebWVj544jdY2x3W6k011Vz560cHdP3BYLfbsJoddWQbXn2R8uxM5tz6s17H+kVGczI3y/lzwcF9fPa3P2G32QCHwA9NTEKy28nZvQNXL2/m3rZiRO5jOAkLC+PYsWPU19d3S9nfvXs3SBJth3azOfcIdrsdc4sRyW5Hp1AQKqqoazYSEhREUPi5Ra+gUHQzpeor7r5+zn8vuudXvPfYr/nq5X/gFxGNZ2AQez//hL2ffXzG49U6F1w8PJl3251YTCYOfbOetMVX9vp721BxipLjR0iau2DE64kHgyyMZC441Go1AQEBlFRWseSaOARBcHryn0+rFhcyGhc9U69eSsYXa2isqsRqacfapZ9KV6InTWXubXf2aLxqMhppb2tFIYo98th7o7q4CO/Q8GG1EpaR6Y02Y1O3h8TecHHzYP7P7iE6fUq3vm1qF/0ZG6uONp7+AUy/7kYsZpOzcfNQR4zamptoaajHJ3T4mrj7RUSx5L6HuOTuB7q99qHjkwmOH09+xh70Bi/ips5AUCjwj4oZ8LV6ixh1piI119b0+oCZv38P1nYz1z32NAX793Jk89eYWoyDNrmwmE2czMnuZs3eK5JEaeZRjn23yVm/ohRFFt51HynzT6+ScOAfGU3Orm20NjVis1j4auULeAeHMuOGW9G5uuEfHev8vd7w6osc2vAFEy69fFgbbI8E4R2ipqSk5Ica59ZWDhw4gKalEcnUAnoXRJWIS2AwClFE6ug16eXtzZQrrx+xufpHxbDwrvsw1tUy5arrUYoqGipuo6a0GHNrC+YWI6aWFjwDAglJSOLEnp1kfLmW6dfdiEqrZeo1y8jdvZPXH1hB3NSZePgHoFAqsVmsNFScJHf3TiTJjqAQSJ53yYjd12CRhZHMBUl6ejpffvklJ0+eJDg42NkJXI4YjR2mXrOsW+GnzWpxpgs5frZyZNPX7P3sI1b94RFuePIZPP0DKTp8gMMb11Owf5/zC33Wjbcz9eqe+emdSJJEdXEh0ZP6XywtIzNYoiZOJmpi32otzjemXbccwPnA3N42tBGj2o4eSd4jkDp2ugAVBIHp193Ix39+nNQFi4ek75hCoXBExbtEjNw6Fnaa62oIpGeT15xd23Dz9iU8KRWti56DX6/jxJ5dJF88uIfNXR+9T8a6T/s0VhAURKVPJjh+PAIQljzhrL2kOiNqOz98h8qCPGwWC5f/6nd4BfXsizhj2c1k79zG1ndeZ+o1N+Bq8OpVIJ4P+Pr6otVqKS4uZsKECVgsFrZu3YrFYkFVWUba8lt6mFWMJqcLFs+AQDwDeu//lH7Z1aRfdrXzZ5/QcG595p8c+mY9Obu2OZqm4/hd0ej1pC25kpLjR9j32ceMnzP/vFmUlIWRzAVJcnIy33zzDfv37yc4OJjq6moUCsV55aX/Y0Mpqno8eEy9ZhnR6VP48KlH+ejpx9B7GqjIy8XFw5NJV16LV2AwJ/buYtfqd4mckH7GL+qWhnrampt6teqWkZEZPCrd8ESMOk13RqumJjxlAst+/xcC44YmpRcc4qhrxMitQwQ01/R0pmszNlN0+CBpS650RKuiYzEEBpO1fcughJHNauH41s1ETEhn2rXLzznew8+/T5H5TvyjYlDrdBzZ9DUqrY5Fv/hlr6IIwM3Lh0lXXMvuTz4gb99ulCoVt/z1n6NeRzUQFAoF4eHhHDx4kJKSElpbW2lrayMiJJjarAx8wi6sGlefsAgWrLiHBSvuQZIkJLsdQaFw1lfl7tnJuuf/Su7uncTPuGiUZ9s3ZGEkc0Gi1WpJSkri6NGjXHLJJdTU1ODt7T0mLcllzo5PWATXP/Y0Hz39KIIgcMndD5B40TyniIqeNJW3HrqHr1c+T2BsPLm7d2Bp756WJ9kdDyCy8YKMzPAgqtQICgXtQ2zXXVNajFrnMqoRhNDxQ9sTR6lQdHelc3NHVKl7bfKat/d77Dar02xDEAQSZs9l10fv01RTPeB6s4ID+2hramTipZcPWR1nV7R6V37+73cAHLWj53CDnXH9jYQmJmFua+XrlS+wY9XbXP2bJ4Z8XiPB4sWLCQkJoaysDFEUSU9Pp/bYQbYBPmHnn9jrK4IgIJz2jBU7eTpeQSHsXbOacdNnnxeuwLIwkrlgSU9P5+DBg6xfv57KykoCA3sPD8uMffwjo7nz5TcR1ZpuNQAAOjd3Fqy4h8//8RfqK04RO3VGrw9RGhc9weMSR2rKMjI/KgRBQKNzGfKIUW1pMT6h4efFA1VfUSqVjohRRx8jURRx8/HhxJ6djqa9koQhKBidqzulmUfw9A/sVteUMGseu1a/R+bWzc5Uxv5y7LtN6A1eQ9oT6nT64yIoKBSEJaUCUHdVKTtWvU15dibB8effZ7anpyezZ3d3jcz9+jP0Bq8habJ6PiEoFEy5eikbXnmRqsL8QdXnjRSyMJK5YAkODmb27Nns2LEDSZJITk4e7SnJDIKz9QyJnTKDm/78DwyBwYMuSJaRkRkYKp1uSGuMJEmipqyEuCkj1+9sJFAoFNgEqSOdziGUguISycv4Hq+gEBSiSE1JseO1FASmXXNDN2Ho6R9AxIR0Dn3zJZOuvO6s5hwWs6mbQGmuq6G1oYHCgxlMuuLaMekWlrb4Sg5+vY5vXvsXYUmpuHn7kLb4SkS1erSnNmCqi4vOy9TAoSB+5hyCxiVgCDg/HGFlYSRzwSIIAvPnz2fcuHFs27at1yZxMhcOnX1UZGRkRge1VtfniJFkt2O32846pqWhAVNzE97D6Eg3GiiVSqyCHakjYqRUKll0z4NI0i/7HBlLv+xqPvnzE+Ts2kbi7HkUHt6P2WhEqVYTlTYFUaXi4Nfr+O7t11ly/8OMmz6bHaveYc+aD53nGD9n/rDc32BRabVc/NOfs/mNV8jeuRWTsZnMbd+y+L6H8B+gTfpoYrfZqC0vYWLyFaM9lVFBKYrnjSgCWRjJ/AgICQnhpptuGu1pyMjIyFzQqHW6PtUYWS0W3nhgBca62j6d90JbaXfUukrQJWIE9CtdMDx5Aj5hEWSs+5S8fd+Tt2+3c19ATBypC5ew5a3/oBRFvl75ApWF+ez77GPiZ84hIjUNV4M33sGhQ3lbQ0rc1JnETZ0JQNGh/Wx49UVW//G33PGPV3DzPr/cZetPncRmsVxwv8cXKrIwkpGRkZGRkRk0ap0L7a3nTqVrrqnCWFfLuOmzz2mIotbpCElMGqopjgmUSiWSIHWLGPUXQRBIv+xqNrzyT2rLS5l72wqi0iZTUZDHxtdeZsMr/8Q3PJKrHn6M1U89xr7PPiYsKYVF9/yqR53mWCdiQjo3/PE5/vfwvXz731e56uHHh/wazbU1uBq8EBSKQZ+rva2VUydyaWmsxysohIbKU4Bs/nO+cH69O2RkZGRkZGTGJGqdrk9RoKaaagBSFy4ecse38wFRqQRsIHSPGPWX+JlzqClx9GcLTXTU0BoCg/ELj2T/+s+Ydu1y3H18ufa3T3Lomy+YseyW804UdeLpH8D0629k+/tvcWLf98ROnj5k587cvoWvXv4HcVNnsui+X6NSawZ8rqbqKj7602M0VDjEEIKAT0gYgkKB1xiO0Mn8wPn5DpGRkZGRkZEZU6i1fXOla+4QRu6+fsM9pTGJUhSRBCsSEgpBGLDjnqhSMfe2O3ts9w4J45K77u/ycyjzf/qLAc93rJB+2dVk79zK1nfeIGbStCFxKjyZm8U3r76IITCI3L27aPxDFTGTpuLi6Ul0+lT0nj/0PjyVl8OeNauxWa09zqNSazAEBpG5fQsWs4krH3oUQ2Awe9asJnvnVryCQ89qkiEzdpCFkYyMjIyMjMygUffRla6ppgoEYVR7E40mjqiNHQQ7iiFI3fqxoBRFJi6+gm9efYnq4sIzNvQ+Hclu59Nn/0htR7PgrrQ1NeHm7cuNT/+dsuzjbHztZXaufheAzcpXiJk0janX3oCgUPDJX36PUlT1KugbWyvJ378HFw9PbnjyWXzDIgBYcv/DRE2chNbNfeA3LjOiyMJIRkZGRkZGZtA4hFEbkiSddTW/qaYaV0+Ds0nzjw1HxEhCQnI0e5XpM9FpU0AQyNu3u8/CqDTzGEWH9hM5IR0XD0O3fUqVyKQrrkXn5k7s5OnETp6OzWqhoeIUx77bxNFvN5C7dxdqrRa1Vsfyp/6Gh59/r9exWa0IgtDNAt3RkHfewG9YZsSRhZGMjIyMjIzMoFHrXJAkO9Z281mbezbXVOPm4zuCMxtbiKLoqC8S7CiVsjDqDy4engTFxpO/fw8zlt5EQ8UpSjOPggANFacoz84kIjWNadfe4Dzm+NZNqHUuXPHr3/Wp6axSVOEdEsacW37K1KuXsW/dJxQe2s+S+x46oyhyHCc/Ul8IyP+LMjIyMjIyMoNGrdUB0N7WdtYH0KaaKvwjY0ZqWmMOpVKJhL0jYjT2GqyOdaInTWX7+29x6kQOa557iramRgAUSiV6Ty92rn6XiNQ0AqJjaW9rJXfPThJnzeuTKDodrasrs2+8ndk33j7UtyEzRpGXKmRkZGRkZGQGjVrXIYzO0stIsttprq35UUeMlEpll4iRLIz6S8zkaQB8/OfHsZhNLH/qb6z41xvc9+aH3P73l9F7Gtj4n5ex22zk7N6B1Wxm/NwFozxrmfMFOWIkIyMjIyMjM2hUncLoLL2MWpsasVksuP/YhRGOPkayMOo/XkEhGIJCqD9ZxqJ7fkXwuIRu++fdfidf/PNZPnzytzTVVGEICiEwdtwozVbmfEMWRjIyMjIyMjKDxplKd5aIUVNNFfDjteqGzgavdkCOGA2UWctvpf7UScbPmd9jX9y0WUy64gSlx4/iavBi0hXXDom1t8yPA1kYycjIyMjIyAwajc4F4Ky9jDp7GLl5/8gjRkJnxEh+DBsIcVNnnnGfIAjMueWnIzgbmQsJucZIRkZGRkZGZtCo+lBj1NTZ3NXnRx4xoiNiJDuZyciMKWRhJCMjIyMjIzNoOs0XLGeJGDXVVKHS6tDo9SM1rTFH14iRKAsjGZkxhSyMZGRkZGRkZAaNWtuZSndm84XmmmrcfXx/1DUfjoiRBMipdDIyYw1ZGMnIyMjIyMgMGrXW0SfGfNaIUfWP2pEOOiNGIAk2lCpZGMnIjCXkd6SMjIzMBURj4wGs1uY+jFTg4ZGGKP54U5pkhhZBoUCl1WEx9R4xaqqporGqgoDo2BGe2dii04lOEmyIcsRIRmZMIb8jZWRkZC4gck/8iaamw30aq9UEER//J7y95wzzrGR+LKh1um6udHabjYID+ziy+WsKD+0HICI1bbSmNyZwCiOFHVGOGMnIjCn69I4UBCEUeAFYCAjAJuBBSZJK+nDsX4BJQDrgBfxEkqS3ehlXBIT3coprJEla25d5ysjIyPzYSYj/KzbbmWs8Omm31JGX9xyHDv8UT4/JBAUtRaMNcu4XBBFXfRwqlcdwTlfmAkOt1dFQWUF1SRHFRw6yf/1nGGtrcDV4Me2aZSTNuwQPP//Rnuao0jViJPcxkpEZW5xTGAmC4AJ8C5iB2wEJ+BOwRRCEFEmSWs5xivuBQ8AXwG3nGLsBePK0bTnnmqOMjIyMjANX1753ePf2mkVp2TuUl79PZtYjvY7R6cJRKrTOn1UqAykpr8kpeDK94uEfQNGh/bz9m/sACE1MZv5Pfk5U2mQUsggAfhBGCHKDVxmZsUZfIkZ3AlHAOEmS8gAEQTgCnADuBp4/x/EekiTZBUGI4dzCqEaSpN19mJOMjIyMzCBRKDSEh60gLPSnNDcf7xZpsttNNDUfw2jMRpKsANhsbdTVbae2biv+fktGa9oyY5irHn6c2tJi6k6WYQgM/tHXE/VGVzEkCyMZmbFFX4TRlcDuTlEEIElSoSAIO4GrOIcwkiTJPrgpysjIyMgMJ4KgwN09ucf202uP7HYrO3ZOo6ZmsyyMZHpFVKnwj4rBPypmtKcyZpGFkYzM2KUvwmg88Fkv248DS4d2OlwhCEIroAQOAs/I9UUyMjIyYwOFQsTbew41Nd9ht1tRKMZO4Xhd3S6KS17r1zF2uxmrtQm73dyPoxRER/0aP79F/ZvgKGK1NmO1GhEEEbXa50fdQ2gsIAsjGZmxS1++1byA+l621wGGIZzLOmAfUAj4A/cBawRBuFWSpHd7O0AQhLuAuwDCwsKGcCoyMjIyMr3h4zOfioq1NDYdxOA5uds+u91Ka1shSNI5zyOKrmi7mD0MFkmyYbUa+3WMQqFCqw1BodAg0Dex0Nh0iBN5f8XHZz4KhWogUx00druFdkstAgJqtd9ZhU59wz4OHboDu90EgKtrIiHBNxEUdAOCILcyHA1kYSQjM3bp63Jfb99yQ7rkJEnS/d1OLghrgN3AX4FehZEkSa8BrwFMmjTp3N/EMjIyMjKDwttrNoKgoqZmUzdhZLE0cPjwChqbDvbpPD4+C0hN+ffQzct7Nt7es4fsfGeipmYLh4+soKLiM4KCrh/2652O3W4hY/9SmpuPAhAUuIyEhL/2OtZkruDo0XvRaAIID78Lq7WJiorPyM55HEGhIihw5OcvIwsjGZmxTF+EUT2OqNHpGOg9kjQkSJJkEwThI+BZQRACJUk6NVzXkpGRkekvdruV45m/wmKpx8trNoEBV6PRXPg2xKLohsFzKlVVG3DVdzrgSRSXvE5raxGxsY/36XXQqP2Gd6LDhLf3XNzcxlNUvJKAgKtHPJ3w5MkPaW4+SkT4PZhM5Zw8tZrg4Btxd08BwGjMobz8A9otdRiNWdjtbaQkv4uraxwAYaEr2L1nEeXlH5y3wqi2bgdFRSsJC/0ZPj7zsdvNmM2VvY5Vq70QRbcRnuHZkYWRjMzYpS+f6Mdx1BmdTiKQObTT6UFnVEqOBsnIyIwp8vOfo6pqPS4uUeTnP0dJyeskJ/0Lg2HaaE9t2PHzX0J29qNkZv3GuU2pdGVC6ht4ec0YxZkNP4IgEBlxP0eO/pwjR+/C3+9yfHzmoVINZWZ571itzRQUvoin51Sion6NzWaktm47efnPkRD/LCdOPE11zUYUCi1abRAKQUXS+Bedoqhz/sHByzlx4k80N2fh5pYw7PMeSux2MznZT9BmKqWhYS8aTQBmcxXQu8+TIIgYPKfh5jYeuqQcehlm4OU1c4Rm3R1ZGMnIjF36Iow+B/4uCEKUJEkFAIIgRAAzgd8O18QEQRBxmDuUSJJUMVzXkZGRkelEkiTaLbXYrEYaGjMoL1+FJLUTHv4LvL0uoq2tCLO5CqMxm5LSNwgJuZVxcU9ibDnB0aP3cvDQbcTE/I7QkDsu6AL3oMBleHvNdtp4g6O/0VhbmR8ufHwWEB7+c06d+pTa2q3ExjxGWNhPh/26RUX/h8VST2zsowiCgCi6ERlxL7knnmb3noUIgpLIyF8SGnLrWYVaYMA15Oc/R/nJD4gf99Swz3soKSt7lzZTCakpr2MynaS+/ntc9NG46MKA02umJFpaTlBds5H6hr1dttsoLn6V4OBbiI35LUqlbgTvAETxh0cvWRjJyIwt+iKM/oPDCOEzQRAexxG9eRooBZwJ4oIghAP5wFOSJD3VZfscwBcI6Ng0SRAEI4AkSR93jLkRh/X3+o7z+gP3AunAjYO4PxmZ8wKLpZ6Ghv14ec0c8S/p05EkiZLS12kxnkAQlISE3HberSoPBKMxl+ycx2hsPODc5uLisBw+duy+HuM9PCYRG/MoAK76WCZP+oTjmQ87VuKbjhEcfKNzhVohqHBzG48gXBgPQYIgDKlxwvmGIAjERP+G6KiHaG4+hmaIXgu73YrZ3H0dUK32RanU0NKSR0npfwkMuBZ3tyTn/uDgm6io+Ay12odx4/7Yp/8XlcoTP78lVFR8hlYT4NyuVOrx978ctdrbua2trYya2i0YmzMxmR0Z7e7uqURH/QpwRLEkyTqsETO73UxV1Qbs9nYKi17G23sOPj7zAAgJufmcx8fE/L9uP9tsZgoK/kFJ6RtI9vYz1mgNF13FUFeRJCMjM/qc8x0pSVKLIAgXAy8A7+BIb9sMPChJUlcLIAGHzfbpSzZ/BLo2w7i340/nMeBwovMD/oajnqkVh0PdIkmSNvTnhmRkRhqbrQ273YJK5Q44vsQlyYZS6eIcI0kSzc1HaWktwNJeS7ulDkt7He2WOszmCpqbMwE7vr6XkJy0clTdoqqqvyYv7xnUaj9sthaqazaSlvYBrvoLq1Gj2VxJSckb1NZtByRaW4sQRVeiox9Bo/ZD5xKGh3saYKey8kva2kpw0Uej1QQgih7odGHd6ktE0Y2U5FcoKlpJQeGLVFR27zTg5TWb5KR//WiiKj8GHP2fUs45zmQ6SUNDxlnHtLTkcvLUx7S3V3fbrtEEkJryGrkn/oxS6UJMzCPd9isUaiZPXtPvuYeG3E5l5XryC/7RbXte/rP4+S5GVLnR2lpEXd0OQEKlMqDThWFpr6eubgehIbejVntx7NgDNDQeYHzi3/H1XdjvefSFouJ/U1j4IuAQbzHRg0tWUSo1xMY+itVmpLJyHXFxT3T7vB5u5FQ6GZmxiyD1wVb1fGDSpElSRsbZv3hkZIYSSZKoqvqSnNw/YrMZCQm+FVF0p6T0v1itTej1Mbjq49BoA6mv30Vz83HnsYIgolJ5oVZ7oVZ54+4xEUmyUVz8CtFRDxERcU+f5tDSkk9DYwY+PvPRqH167LfbLbS3V2O1NjsEGxJ2m6ljfnG4uIR3G2+zmdm95xKUShemTF6HyVTO/gPLAZiU/jE6XfAgXrGRx2Q6SfnJVbS312Cztjju327GZCqnpSUPSbLh5TUTUemKRuNPRMQ93VbLB4rRmNutGLylJZe8/OdwcYli4oS3fhQmDTI/UFm1nmPH7j/HKAU+3nPx8bkYocMGXLJbKSx6mfb2aiTJyrhxTxMSfNOQzctut9K1Nqe1rZjSkjeprtmEJNlRqdwJ8L+agICr0enCEASBpqYj7Mu4hsTEf+DjPYftO6YiCCrsdhPhYXcTGflLlErNkM3RYmlk566LMBimEhf7BKLo4VyEGiz1Dfs4cGA54xOfJyDgqiE55+lIkh2rtRFR9HSm19bV1fHSSy8BsGzZMhITE896jubmLLKyf0dIyC2DMswoL19FcfG/SUp6EXf3FCyWRszmClxdx5374LNgMlegEg1D+v8uIzOcCIKwX5KkSb3tk2O4MmOalpYCKqu+pLFxPwBeXrMICLjaKQJM5gqUCh0qlQcAhUUr8fSYhMEwdUjnIUkSpaX/5dSpj5GwY7dbsFqbsFjqcHNLxlUfS0npfwE7Pj7zcXNNpKn5CE1NRzBVf42LSyTjxj2Nl2E6KpUXoujeowZFkiRMpnLyC56nofEABs/JaDQBjgiDoMBuN9PWWoS5vRqdNgSzuYqS0jeRJAuCIOLunuoQP3YLouiOzd5GS0sudnt7r/ckCCLBwTcTFHgdKpUBSbJx8uSHmExlTJzwNgqFiItLOBMn/I+M/UvJPfHUWe2VjcYcCgr/iZtbEj7eF49q+p3dbqG07C0KC1/CbjejUnmhVOoRBAWCIKLVBuPlNYuQ4JvQ6Ya+B5qra1y3gndv79m4usZz5OgvOHz4TtLSPkAU9UN+XZmxibfXRUybuvGsY1Qqj15FuY/PPI4cvQelQktw0PIhndfpjnqu+lgSEv5KAmdOLXNzS0Kt9qG2ZgtINiTJRtrE9zl16hOKS/5Ndc2mxC0lAAAgAElEQVRGQkJuRSV6YjBMR6PxHdQcS0rfwGYzEhX1a3S60EGd63Q8PdLRaoOpqFjbZ2EkSXbqG/bQUL+XZmMmkmRDJboTHf1wjzTGurqdnMh7BqMxE4VCi0bjhyh64Kr/4fvp9IhRUdH/IYruhITcAkBFxedkZf8Wu93MyZMfDlgYVVdvIjvnCQAOHrqdqMgHKSp+BYuljunTNg/4tTWbq9m9+1L0LlFMnPiu/Lkmc94jR4xkRh273UpBwfNUVW/Aw2MiBs8p6HRh1NXtpLjkP0iSFVd9HBJ2WlpO4O4+kcmTPkaSJL7//mLc3JNITvoXFks927ZPwmCYTtrEXltfDXB+ZrKzH+dUxad4eKShVvuhEERElTuurgkEBS5DoRBpbS1Ckqzo9THdjpcke59T42y2NvLy/0Zd3TZaWwt7HaNQaJ3NGgMCriEk+Gaqqr6isekwouiKIIhYrc0oBBWubvG46CIRVR4oFRpAQKFQo1TqOVXxCeXlqzjdzam3/jJFRa+SX/A3Jk54p1fXMavVyN59V2E2n8JuNwOQlPQy/n6L+3TfQ0lDQwbZOU/Q0pKLj8984mJ/j04XMuLz6A1HD5y78PGZR0ryKxdMzZHM8OL4npbGTEPWzMxHqK7ZiIdHOkZjFjNn7EAQBGprt5Od8wQmUynQ915VLS15VFatx2Zr7bGvvPx9vL3nkJz0ryG/D4D8/L9TVPxvZs3chUbji8lcQWXlF1gtDSAo8PGeh4fHROx2CzU131JY9BJGYzYg4OISjVKppbW1EFF0Y0Lqm87oS2npW+SeeBqtNoTgoOVYLPWYzZU0Nh3EZjPx7eYlAFx2WSsabQspySuxWo1s3zEZSYLp0zZis7Wyd98VeLhPRK+P4eSp1cyeldGviJkk2Th16lNycp/EVR9HQuJzHD78M0ymcvT6WFpbCwkJvoW4uCcG9Ppl5/yBkyc/AMBgmEFCwjMoBBGVyvuCNqCROb+RI0YyY5b29hqOH/81dfU78fScQm3td1RU/JAvHxBwDTExv3VGiAoLX6ag8AXM5kra2+toM5VgsTYhSXYaOormGxr2YrHUD1kxcFb2Y1RUrCEq8kEiIu4744e9i0tEr9v78zCjVOoYF/d7wGHI0N5ej9XWDJKEoBBx0YWjVLrSbqnFbmtzrvJ5eEzs300BHh4TCAv9KUZjLhZLfUd6nwdeXj2bZIaG/oTykx9wIu/PhIfdRbMxExddBO7uKSiVLuQXvEBbWwlpE99Dr4/iyJGfk5n5MDptMG5uydjtbVisTVgtTVitTajVPmd8vU7HYmmgvn4PTU2HcNFHE+B/JTZbK7W1W3F3T8HFJdI51pEacxNaTQApya8OW83DQPHxmUdc3BPk5v6RiorPCQy8ZrSnJHMe4PjMGTsPmd4+8zhV8Qm1tVsICbnV+Zno7T2bGdM3095eR17+M1RXb8Jut6DoSA08Hau1haNH76GufgegQKFQ9xijVLoQFfngsN2Lf8BVFBW/wsFDtyGKrjQ2HgLsCIKIJNkoKlqJm1sSbW2lWK2N6HQRJCb8HV/fBc56wWZjNocP/ZT9B24gPW01arUX+QUv4OU1m9SUf6NQ/JBilpv7NCdPfez8ud1SQFPzQdraSmlqOtwR4RfIL/g7ZnMlSqUrycn/R2trAeUnP6C+fhd+fov6dG9mczUHD91GS0su7u4TSUl5FY3ah/S0VdTUfkdQ4HVkZT3KyVMfERn5y36nKLa2FnLy5CqCgm7E3W08Wdm/Y+dOhwX6uLin+mSMISMz1pCFkUy/kCSJhoZ9PQqERdEVUeWJQhABAY3G74wrRpJkp729hqrqDRQUPI/NZiIh/lmCgq5Hkuy0tZViMpUhiu64uyd3O9bXdyEFhS9QU/Mt7e21AFitDbS0nKCxYX/H+W3U1GwhMPDaAd1jY+MBcnKeJCrqV1isjVRUrCEy4gEiI89VIzC0qFSGM4q73uqJBoKLS2Q3YXEmlEoNMdGPcOz4AxzP/DWCoESSbN3GREc9hMEwBYDklFfJ2HcNGfuXASBJlm5jBUFJdNRDhIXdiSAosNlaqandiqjU4+U1G0EQsNutlJW9TUHhP7HZWpzXzMt7rsMJq92ZDhgV+SBKpY6cnCfQagOZOmU9oug6JK/RUBMachs6bSje3nNHeyoyMgPC22tWh3Cw4utzSbd9gqBEo/HF12chFRVraWo+gqdHeq/nKSx6ibr6HURHPURQ0DLUQ/S51h9c9bGEhNyOsTkTBIHwsDsJCroBF5dwrNYWTp5aTUXFGnx85uHnuxhv77k9UhDdXONJT/+IjP3XcfjIXXi4p2K3m4j7/+ydd5gdV3n/P1Nur3vv9iqtVqsu2bLcK3KjGAzYpjmAHUxNAskvCSEBQgkQICROAgZCccBgMDUy2AYbUyy5W1bvXdvr7f3OzPn9cXevtN6VtJJ3tbvy+TzPPtLOzJ05c3f3zvme932/78JPjhFFAKrmLEfVS5RSnXv71pFO78Nur6Su9haOdpQibYsXf6HcpFbTvAxH1k9aGPX1P0g6vY9ly/6Tmuqbys9jp7O+XKvW3Pwe+vrX0dPzY1pa3o8QJoaRQlVtJzWkyOcH2Lv3U6iqnfnz/wqHvRKns4FM9ihHj46mVEphJJl7SGEkmTTDw09w8NC/jzEROBmKYp9wpdCyighRehhUVFxKe/unyo5niqLidreMMwUYxeNpx+lsYGj4jxQKQzgcdeTzvcRiLxCLv4jfv4p8vp/BwcfOWBh1dd9PMrWTrdvuQlHsBAMXMm/eX5z6hec41dWvZZXmxuGoweNpJ5frJJnajbCMcZEmh72S88+/j67u+1FVJzbdh677R7589PT+jAMHv0x3zwNomptM5kg5PTAYuBCvdzFDw38gl+smHL6aefP+Ar9vOdHoc3T3/BiHo47q6tfQ3/8rurp+wNDQ44RCV5BO72fliv+ZtaJolFGrYYlkLqLrPoLBC0kmdxMMXjThMaVGxwqRyFMTCqNUai+dnf9Lfd1bJm02M12MRulfiq57aG66k+amO095DpergZUrvsmmzW+nf+AhGhvfjcezYNxxquoYWSiyALX8LOzt/TnFYoTampuZN++D9Pb9Apezifq620ZeZyMUuozI8AaEEJNKU4tEnsTtbqO25vUnPMbnW0pFxaUcOPhlDh76j+N6k6l4PG24XS1jGuNCyRQkEn0KIQwWLvxEeaEuFLqcEJeTTu+np+enWFZ+nDCUSGY7UhhNE6aZJZ3eT9FIoCp2fL4l5PP99PT8lEz2CIqioyg6qmIjEFhNff2ts/oDZHj4CbZsvQuXq4kli/8V//GpW8LCMFMYxThipBg3n+8nn+8bF1UARorf6/F4FhIMXnRaeciKolBZuZaenp9gWQVa5/8N3T0/JhJ5kmRyG40N78SyCvT0/gzTzJ52T6DRPPKa6puwO6oZHn6CZcv+Y9wK4SuR0nt/bEJ/qmiT2z2f9oWfmHBfKHQlPaErGBr6A1ASQ9XVryadOcShQ/9JIrmdUMVlLFz4caoqbzguVecqwuGryuepCF5IXe0t7Nj51/T0/ITKymupqrpuKm5XIpGchMWLPkfRiJ/ws9FmC+LzLScSeYrW+R8es08Ikz17Sw5zL7Ufn8sEAuexdOm/09X1g3H3PIo28pxXVRPLKgkjVXWQy3UBUFX9anTdx0UXPYw+YhgzSih0JYODj5HJHJpQdB2PaeaJxZ6nof7UrSAXtX+Gvr51lOrYbOg2P0YxQTyxmWy2Y8LX1NbcTEvLByZcxAxVXE5X133E45tHBLJEMneQs70pJpXaS1f3j+jrW4dppsbtVxQbHs+CEQFhYJpZ+vrXcbTjf6iru41gYDV+/6oxK96WZRCJbMDlasHtns/A4G/p7f05leG11Ne/5YT521NFOn2A7Ts+jNe7iAtW/2TGXWcqw9fS1fWD0v8rryWdOUh//0OARSBwAbrupav7B0QiG6iquuHkJ3sJsdjzGEaCmpqbSvUpCz8+DXcgURSFhvq30lD/1jHbKyouGVkhtSa9UBAInMfFF/2a7u4fUVt7ZlFCiURyekymRjAUuoKOjm9jGKkxz7QjR75OPP4iS5d8eVobw84ENdWvpab6tSfcr6pOAGw2yOdBiDzh8DUMD69HVe1UBEuOdROlS4dDpUWhFza+EVV1smjRZ054rXh8I5aVJxS64pRj9ngWsGDB357yuMlSUXExiqIRiT49Z4SRYaQAMSJSe8jlehBYCKtIoTCEJYrUVN80ZVbxktmLFEZTTG/f/9Hb+1Oqq15LVfUN2G1hDDNFMrkTTXVRW/uGMXnUQggikSc5fOS/RxrYCUDF611MMHABHk8bXd0/JJ3eD5S6oBcKg+h6kOHhP9HZ9T1WLL9njDXw8ee2rDya5pz0+E0zy9DQ7zHMNF5PO9Hos3R03ouqOkZSlGbeirOi4iI0zYOu+/F6F1MRvIj+/l8BEAhegE0PoOt+Bgd/d9rCaGDwUVTVNaEBgeTscCZCX9d9tLS8fxpGI5FIzpRQxWUcPfoNorHnqAyvBSAafYZDh/9rpD/SK28hY3TB55gwKmC3hViw4G9LWSQn+fxzuRpZuPATZLMdRKPPsnfvpwhVXF5uV3E8w5ENKIptyltXTAZd9+HzrSQSeZqW5vdy9Oi3aGi8Haej9qyPZZRUai+FwhCgEAicN6Z+anDwMbbv+Eg5rfFEHDz4Zerr3oLNVoHT2UBNzevnrPNeLt+HYSTHNG4XwiKX68FmC540HT0SeZr9Bz5PXd2tk0oznWtIYTTFtDS/l3ktH8BmC47ZXnmCQmtFUQiHryQcvpJiMUEisYVY/EXi8U309v0C08zgdDaxbOndFIsRItFnqKq8lrq6Wxga/hN79nyCTZtv5/zz7sPrbSeTOUI09hzR6DNEo89hGDEqw2uprn4NquZEWEUMI0k220EsvhFVddK+8BM4HDUcPvzVkRS09JgxhkNX0db2sVnT3FNVHSxY8Pfoug9FUco57i5XS3mVrTK8lsGhP2BZxphUj3T6EDZbELs9NO68QlgMDv6OcPjq0xKTEolEIhlPIHABqupk27b3jdnudrexaNFn5+yk8uWgjjxbdL3UKsWy8qiac9ITzNHjksldPP/CzRw6fDeL2j897rhI5CkCgdUnNVCYTkKhyzhy5Bts2vxnJJM7KBpxFi/67Fm7fiTydKnPlFVkYPBRksnt5X1OZxNLl3yJioqLiUafZ8fOj+DzLqam5iYMM4PTUYvT1Yiq2FAUDbu9kmIxxpEj99DR+d3yeQrF4VkpDIQwSSS2E4tvJJXaQyE/iK77sDsq8XjaSaf30d39AEIU8XqX4vG0kUkfJJ05iGXl0HUfTU1/Tjh0JSDI5fvJZg5jmlnyhUF6e3+OpnnYv/9z5PN9NDbcjmGk6er+IQMDj+BxLyAUupLm5rtmxWL66SKF0RQzUYO+yWKz+cfUUFiWQTZ7FJersbzK1NR0R/n4qspr8axewKbNt7PxxTcjhCi7fzkctYRDV2Kzh+jre5DBobHNBRXFht+3nFRqD8+/cDOa5sEwEtTW3kx93a04nfWkUntwOhvx+U7elXsmaGp8Z/n/bncrTkc9oYpj/XWqqm6gr38dsfgLhCouBUr9bV7cVErdcjjq8PuW4/YsIJvtIJs5iiWKFAoDVFfdeHZvRiKRSM5BNM3B8mX/STK1u7xNQaWu7s1zcsI0FWgjqXS6rSSMhMiX0+tOB59vKY0Nt9PVdT8eTzu1NW9A171YlkE0+jSp1C4WtP7dlI79dAhVXM6RI/eQSu3D51tGX9+DLGz72JQJtWIxgWVlcThqJty3ddv7sKwsUBLi7e2fwuddSqE4zIEDX2TT5negqi4sK4/bPY9Vq7474YLpKC5XEytXfnPEPMpix84Pc+DAv+LzLimnC45arU93eQNALtdDZ+f3CIevxudbQUfndxkYeBhhmRSNKIaRBMBur8bprCOX7yMf2YBpplAUnbq6W/F6FtLbt454bCMeTxsVFZfgcs8jMryew4f/aySL6Rilvnsa9fVvZWHbP3Lg4L/R0fEdOjq+A4Cq2qmqupFstovDR77KcGQD5636zrhAwWxHNng9B8hmOzna8S103Y/bNZ9gcA0uV0t5Nc6yCqQzh0q9cBQNmy2AzRZEVR0UCsPsP/AFCvkh2to+hs+3ZIbv5swoFIbQNHf5Q9c0M6zfsIb6+rexqP2fEUKwadPbyWQP09z0HpLJnSSSO8hmj+J0NuDxLEBBQ9M9LFn8hRlbZZNIJBLJuUupyfNd7N93G319dq686n7mz/9rWs+gHUSxGGfzlneSTO4cadztw7JymGYaXfdx4Zr/m1Q7hunAsors2/cZqqpfjao62LTpbeW2HC+XWGwj23f8FYYRY17LX9DS8r4xPbCOdnyHAwf+lTUX/AyPpx1N84yJTppmhq6uH1IoDqMq9jNK8zOMJC9sfDOZzCE0zYuiqBhGApezmYsueuhlC/9iMc7hI1/FpgcJha7A612CppUWyNPpA2ze8m7y+T6AciuLUOhK7LYwmu4mGLyIiopLx9SqCSHI5XpQVRsOR/VJr59OHyA7YgjisFfhds8fNy8SQhCJPkUh348QgnDlNeXrjaYnut3zWL78v8ek7M0GTtbgVQojyTnL1m3vJ5XcxWWXrScS2cCWrXfS3v7pMdEmIcyRVRCJRCKRSKaXSORpNm95J4cP3UJPj43Lr3iAtgX/QEvL+0794gkQQpBIbGFg4DeYVhZF0agIXkI4fNWsWeATQvDsczdi0/2sXPk/xGIvoGludN1LNttFPt+Lpvuw20Iji7b20vbCAApqyZlP0TCNFKn0XgYGfoPT2YDXu5jBwUex2cKEQ1dSX38bweCFPP3MWpyOOi644IFpva9crofe3l9QNOIIy0DVnHR0fJumpjtP6Mh6MkwzAygYRpItW+4gnTlwnLOvisvVhKY6yea60TQnK1f8D9lsB/HEJurqbsXvWz6l9/dyiUSeYvuOD2Oaaea1fJB58z4wa9yXTyaMZCqd5JylqvJ6hoYe58iRe+gfeAins3GcC5oURRKJRCI5W2jH1RhpWmnSq76MmlZFUQgEzidwfAuNWcaoC+n+A19gw5OXUOrhdGY4HLXU1txMe/sn0XUfw8Pr6e37JcORJ+jrf5CqqhvI5bpY2PaPU3cDJ8DprB/X+N0003R2fp/amjfg968csy+V2ktf34MMR55A13xUV7+GyspX4XQ20tV9PwcOfAnLyo70gNQ5b9X/4vUuJhp7jlRqD5nMYYQw8HqXMH/+h3G7WwgEzqO29g3Tfq9nQih0OZde8ij79n+eI0fvobr61Xi9i2Z6WKdECiPJOUtl5VpU1cGhw3ejKHaWL//PMeF2iUQikUjOJqMr5ppmoY2sy2lnUGM016iru5VYfCMez0Iqw69CCBPDSOJ0NuB01mOaaQrFKMVCBMvK43I14XDUUMpqKvVHVFXnOLe00bps08ywe88/0d//axyOOiorZ6af3YLWv2dw8He8sPHNKIqO19POwoUfJ50+wL79/wIIgoE1FIoR9u3/LPv2fxZd92MYCUKhK6kIXkS+MERd7Zvw+1cAp7aAn83Y7ZUsX3Y3mfkfnrG0ztNFCiPJOYvdHuLSSx5HCIHDUX1WCiIlEolEIjkRo0YLmm6h6+rIttmRXjSd2GwBVq74xgn367p3QiOFyaJpbpYtvZtw6GqczvoZa8pus/k5b9X/0j/wMAiL/oGH2LT5HQCEw1ezdMlXyiYP6fRBotFniCc2UxG8mLq6285Zp8a5IopACiPJOY7TWT9l5xKmwBjMYGUNUBVsNW6sjEFm8wCqR8d7ydRdSyKRSCTnHmVhpFllZ7ozcaWTjEdRFOrq3jTTw8DnW1I2spo//6/o7PxfFNVGc9N7SvVSI3g8C/B4FtDIn83UUCUTIIWRRDIJCr1poj/dS7E3fcJj9AonzkUhcvui5I/EQYAWcOCY70cLlh58il1FURSM4SyZ7UM424LYG31n6zYkEolEMoOo2mgqnYlN18dsk5x7aJqLefM+NNPDkJwGUhhJJKcgu2OI4R/vQXXpBN/Uhh5yIgyLYl8aFAXXsjDDP9xN5Gf7cK+uIbW+ZHGJArzE9FGxq2hBJ8ZgBgQkNIXga+djb/FjxgvYm7xofvmQlEgkknMRbbTGSDXLTV5fCTVGEslcQQojyaxi1D7+pXm2wrAwEwUANL8dRVfHvXY6MNNFov+3H1uth8o/X47mOVan5FpyrJlv6G2LGfjaZlLru3CvqaHijW2gKZjDOfJH4lgZAwSYiTzGcA7X8jDuVVXEf3OE2K8PHbugAo75AVznVeFeXonqnlxdlBACLFC00vsmLAHi2PcSiUQimXlG0+ZUmUonkcxKpDCSzApSz/QQ+/VBsECvdFF55zL0sAszWSD1dA/p53pL4gJwtAWpuqvk1mKmiyi6iuoo2fsI0wJFQVGnRhDEf3MYK2tQeVf7GFH0Uux1HsK3L8HKGrhXV5eFnV7pQq90nfB14XctJbd7GADVaye3L0p26yCxXx4g9uBBvJfU4VvbXL62mS5iDGYwBrIY8TwIgZUqktsXxUwWsDf70Xw28gdiCEvgvaQe9wXVJTFp08ASJdFkCRSHds4WekokEslsRFF0QMVmA4f9lWO+IJHMFaQwksw4Vs4g8buj2Oq8OBdVkH62l8Fvb8d7WT2JP3Qg8ibOJWFcS0LkD8fJbBrAiOTQAnYG7tmCvcFL+PYlCFPQ95WNuFfXELi+5YzHIyxBdscQ+UNxMhv78V7diL3u1F2sXUvDpzzmpSiqgmvZsc7UjhY//uuaKXanSD3bWxKFz/ehODVEUSByxktOAIpDw7kgiFbhJH8wRmE4i3NxCFEwST7RSfJPnRNe2z7PT+Udy1Cd8mNAIpFIzgaKoqBpTlpa6mhfuJCjHevKvY0kEsnMI2dEkpeNMCyyO4fJ7hrG2V6B+/zq04rYpJ7qwcoYVN7Zhr3Jh2tZJYPf2U78kcM4WgME39iGrbrUwdvRFiSzaYDM5gH0ShdmJEc2kcfKGRQ6k5jRPJnNA/ivaz7jaEhyfReJ3x5Bsak4l4bxX9t8Ruc5UxRFwd7oI3SrD98VDaSf70MYFmgKetiFXuXCVuVGCzpO+T4Xh7IUjsSx0kVE0QJNRVEVrIJJ8o+dDN27A/91LRS6k4CCHnRga/JhO0mUSyKRSCRnjqo60TSByz1iviAjRhLJrEEKI8kYhCVIru8ityeCGc+jeu042yuw0kVyeyKgKuiVLlSnBgKMWB6jP4MomCh2jezWQVJPduNaFsZW50Wxj68FUhwa9iYfiqJgZYokN3ThXBLC3lRyZ7M3eKn+4CqK/Rlcy8NjBI5e4cTRGihZZLt0FIeGyJvk9kTIHYgBYEZyFPsyk4ryjLt/wyL1ZDeOhUEq71g+4zU6tloPwTcsOPPXV7pOKHLsdR6Gf7SHoXt3jNunh514LqnHe2kdKFDsy2CrdaNoZ6e2SyKRSM5VVNWOZeWwzNzI9zJiJJHMFqQwegWT3Rshvy9ajkLoISfxR4+Q3TaEvcmHo8WPEcmR/EMHiq7iWFiBYlMxBjOYUQso2VG7L6jGtSSMY0GQ7PZBkn/qJPH7jnGObMdja/DiWhom/UIfIm/if0nqm63aXY4SvRT3+dVEf7EfgMDrW0k+0UVmyyD5owkcbUHyB2Pkdg6dkTDKbB7AShXxXdU446JounEtr6Tmw+eXapMafSWziGiO/ME4me2DxB8+ROrJbqy8icgZBN/UhvfiupketkQikcxpVNWJZeawrJIwkql0EsnsQQqjc5jUMz3Ef3MEYVpoHhu+tc14LqxF0RSST3YTf/gQKApYYxVM4DXz8V7VUI7UWFkDRVdKxfunwH1eNe7zqrHyJsZApmSG8BKMwSyJP3aS+N1R7C1+Kt68EHu9d9L35VpRSfTBgyi6gmdNLeZwjtTTPQB4L6tHFEupff7rTl1nZKaLFHvTmPE8tmo3yQ3d2Oo8ONqCkx7PXMZW68FWe0xAqjUebDUevJfVk9sXJbm+C81vJ7cnQuFoAqQwkkgkkpeFpjmxrDymVXJalal0EsnsQQqjOYgQgvzBWGlCnyjgXFSBozU4pt4ks2WA2IMHcSwIYG/ykT+SILbuAPFHj6DoClayiHNZmPDbFmFlTYqDGYzBDHqVG+eCsaJAdZ3+r4k6ki43EY55AdyrqzHjBfTQ6a+UqU6d4Gvnozg0VIeGa0Ulqad7UJwazvYKjKEs8UcOY0Ry484vihboCpiCxONHST7RNS6yVfHWRdKtDXC2V+BsrwBg6Hs7KXSnZnhEkskw9L2dFHsm8bNSFYJvWHBGpiESieTMUVUHplWKGCmKDUU59aKjRCI5O0xqxqsoShNwN3A9pbaVjwN/LYTomMRrvwCsAS4AQsCdQojvTXCcCvwD8H6gFtgLfFYI8YtJ3ckrBGMoS/SX+8kfipc2qAqpDd1oAfuYnjfFgQz2+YFSnYxNRQhBbleE3N4ICNCrXHivaEBRFTSbhua3w4KzFyVRNPWMRNEo3svqy/+3t/jRQk6cC4MouopraZj4I4fJ7hjCd1Vj+bhiX5r+r21BtasoDg0zmse9pgb3qiq0gINiXxozWcC9supl3du5iK3BS25vBKtgotrlQ3w2Y2/2oXpP3f8qtzdKckO3FEYSyVlGVUsRI8vMyWiRRDLLOKUwUhTFDfwByAPvprS+/jngj4qirBRCpE9xir8CtgAPAe86yXH/Avwd8HHgReBtwM8URblJCPHIqcZ5rmPE8iSf6CT9Qh+KphJ8YxuuFZWodo3sjiGyu4YR5rHQh73JR+A181FspWJ5RVFwLQvjWnbuTYIUVaHmw+eXm77qlS7s8/yknurGe1k9il4ShrGHDqHoJac5M5Ij+LpWXMuPWWWfqKZJUjLEQECxJ4VjXmCmhyM5CUuXvsQAACAASURBVP61k3NRTPyhg8RjRyeMrEokkulDUx0UjTimlZP1RRLJLGMyEaP3Aq3AIiHEAQBFUbYB+ylFd/7jFK8PCCEsRVHaOIEwUhSlmpIo+qIQ4isjm/848povAq8YYXR8w1IhBMZgltSGbtKb+gHwrK7Bf30zmv/YKpP7/Grc51fP1JBnBS/txeNf28zQvTtIb+rHe1EduT0R8gdiBG5qxXdFwwyNcu5ibyzVgBW6pDA6V3CfX03isaMle/uzbEkvkbySUVVH2XxBRowkktnFZITRG4BnR0URgBDisKIoTwE3cwphJIQYX30/nhsBO/DDl2z/IXCvoijzhRCHJ3GeOYWVKTJ8/26MoRx6lQsznscYzAKg+uyInFGuifFcVIvv6kb0oFxdmgyOhUFsjV6Sf+pCD7mIPXSolD54qTQPOBM0vwPVZ6co64zOGcrW95v68a1tknV1EslZQtWcmFYeyypIq26JZJYxGWG0DHhwgu07gdumaBzLKKXqHXjJ9p0j/y4F5rQwMqI5ir1p9CoXmseGlTcZvm8XxcEMrmWV5XQW9wU1MBIpUl06epUb19LQmAiR5NQoioJ/bTPD9+1i6DvbUZw64XcukX14Xgb2Bu9II9gTIwyrnNIomf24V1cT/fl+Br+1DStRGJOOq9hUKt+9DF02+5VIphRVdZT7GGnTKIyK/WmGvr+LwA0tuM+bvqyS7I4htJDztNxlJZLZymSEUQiITrA9AlRM0ThCQEwI8dLON5Hj9o9DUZT3Ae8DaG6eHakgxYEMRnSkN4HPjq3OQ6EzydC9OxE5Y8yxoxMP58Kpehslx+NcEsJ/QwtawFGux5KcOfbGEQOGvIHqGP/RMWoPX/WBlfIBOUdwragk9VQPomBha/Aes+Q3LTJbBsntjeCtlKmnEslUMmq+YFo5VG36Fj3zh+OYkRyRB/ZiDGXxrW0e4147FRT70wzfvxtFVwm9ddGYul2JZC4yWR/miVp1TuVfl3Im1xBCfAv4FsCaNWtO0k707JHe2E9qfVf5e1udB2M4i+qzU3H7YsxkAStTEkiO1oCcQE4jo1EjydRga/SBgOjP96P57LjX1JR/fwudSWIPHQJTkPxjJ+Hbl8zwaM8OuQNRzGgevcqFvck35yKSqkOn5iOrx20XQpA7GKfQefIIoUQiOX001VFypbNy05pKZwznQFdxr6wk8XgH+SMJgq9vpTiQxRjIoAXs2Oq8JXOdMyTxh04Um4pe42H4/t24VlXhXl6Jc2l4ykWYZG4ghAALFG1u/vwnI4yiTByxqWDiSNKZEAEqFEVRXhI1qjhu/5zAe1kdruUl57diT4r0C/3oVW4q372sZIktkcxRHM0+9Go3+cNxRN4k9UwPrpVV6GEnmc0DaD47zsUh0s/1UhzInPMuf0Ysz9D3doJR+sjyXtFA8KbWGR7V1KAoCvZmH3kpjCSSKUdVHZhmDsvMo+vTZ2ZjDOfQw04qbmvHMS9A7KGD9N+9adxxrpWV+Nc2ozg1VKc+zszoRBQHMmS3DeK9qpHAdc3EHjlMdusg2S2D0ujoFUj+UJzogwcwIzmEgIpbFuIZMQYTlpgzQnkyv/07KdUAvZSlwK4pGsdOwAEsYGyd0dKRf6fqOtOOHnSWDRIczX68l9Sf4hUSydxAdduo/X8XAGBlDRJ/7CT9bA+iaKG6dcLvWlYSSS/2k/xTJ6G3LJrhEU8vicePgoCqD6wk9utD51x0xd7kI7dzGDNdRPOcui+SRCKZHKrmBCwMM4lLnb6sBmM4ix52oSglAydHa4Ds7mHsTT5s9V6sZIHM5gESf+oiu21oZHAKjrYgesBB7kAUK2tgq3KjBR2oLn1MDWm+M4miq/iubECxaVTc3EbwpgX0/9cmcvuiUhidoxixHEPf3o6jvYLga+eDrpLZPED0F/vRgw48F9dR6EoS/elerGQBM54nu2OImo+sHtNvc7YyGWH0K+AriqK0CiEOASiKMg+4HPjYFI3jt0ABuB34zHHb/wzYcS460kkkcxnVpRN87fzSh+JL8FxcR+qpbmy1HrxXNFDoSGAMZnEuDZ8zE+xif5rMi/14L2/AMS+AvclHZssAQohzxt3N3uQDSmmSrsUTlnlKJJIzYNRwoVhMTFuNkbAEZiQ3poZZr3Thu/JY03M17MJ/XQvuNTXkD8RKveoGs2S3D1I4msCxIIjmt2MMZSn2p7GyBsIYW7XgW9uM5j2WDaNoSsntcvPAnIoSSCaHsATRn+7DiOUxnukltzcKhoWZKOBoDRD+syWobhtWwWT4+zuJP3IYNAXXkhBWzjxnhNG3gb8EHlQU5ROUaoH+BegE/mf0IEVRWoCDwGeFEJ89bvvVQBVQO7JpjaIoKQAhxM9H/h1QFOVu4B8VRUkCm4C3AmspWYJLJJI5gv+6ZoxIjvgjh0n+qbNcU8e6A7jPqyb4uvlz4sPxpQhLEH/4ELn9Uay0gWLX8L2qCQBbrRuRMzHj+XPGUt/e6ANFCiOJZKoZ7V1kGIlpqzGykgVE0UKvPPX59aATfU1t+fvga+e/rEUexzw/6Wd7KfamX1b9kmT2UOhMYmWK5I8kyB+KU3HLQrSgg/ijR9CDDpyLw7jPqypHFFW7RuUdy8jujpQE9hxaFD2lMBJCpBVFWQvcDfyAkiHC74G/FkIc39REATTgpdXHnwGuPu77vxj5Gn3NKB8HUsBHKImovcBbhBC/nvTdSCSSGUcdsUbPbOwnu2sY19IwtjoP6Rf7ST/fR25/lOBr5qNXulCcJRe0wtEE6Y39KLqK/4YWHM1+oNTwOL8/il7pKk3UXyZWwSS3O4KjNYDmK61yWpkiiT91UexK4mivwL2yCj1UmkzkDkQxk0VcS8MkHj1C6umeUo+sGg/uC2rKH/a2Gg8Axb7MOSOMVIeGrcZ9zqUISiQzzTExZE1bg1djuNQTUQ+fmd3+y4l820eagOcPx6UwmiHMVAErVcRWW3o2CSHAFCi6SrE/TeqpHlAgcOM8FKdOdvsQwhK4V1Si6CpWzsDKGYi8SeLxDrLbh8rndi4N415Tg6IoJ3VVVmwa7pVV036vU82kKuyEEB3ALac45ggTuMgJIa6Z5DVM4HMjXxKJZA6jKAqeC2vxXHhsFdLe6MOzppbIA3uI/GTvuNfoVS6snMHg17eWe+cYw9myX6VrZSW2Gg/GUBZRNI+9UC25D44+AE5G4tEj5QeCrd6LYlMp9mcQOQO9yk3it0dI/PYIjrYgKJDfHwMgqqtgWHivaCDwuvnjJg22mpLRRLEvfU5FV+xNfjI7hia1eiyEwBjOlSdkp0Lz2KZE7Eokc43j0+emq4+RMVxqGzK6yHM20YMOtKCDwtEEXNGAMMWcdSg7HjNZILc3gmtl1Yy3/yh0JYn8bB8ib4KqoAUc6AE7qApmLE/+cBxEqdm9c2EF6Y39GAMZFJuKKFqlf01Bbk+k1Ly9qxTniD98CNVjwxjIHPOK1lX817fgaAsiiiaOeYFzJmV8IiZr1y2RSCQvG3uDl5qPrKbYm8ZMFhCFksDRKpzYm32IgkXqqW6KfWmgJIaci0Pk9kZJrS8VCGsBRznSBGBGclgZg6q7Vpz02sZwltSzvbhWVqJXuUsPbSFwLgziu6YJe70XI5Ijs3mA9At9WHmTwE2t2Bu9pF/oR/XYCLx63oQPBNVtQwvYMfozU/huzTz2Jh/pF/oY+K9NcIoHoZkqYCWLkz63c2mYynctPfWBEsk5hnZclKhkxDD1GMO50oR5hiLYjvkBcvuj5PZGGP7RHipuWThrowdCCIpdKWy1HhTbxC0XigMZhu7dgRnLk3jsKP5Xz8N9XvW01VAJwyJ/KE521zCFriS+qxrL75+VN4n8eA9W0cK5sAJhWJjxPPmOJAiB6tDwXdOE6tRIPtFFfn8MW6MX/3XNWIVSnY/nwlrMaKnHlZkoUPHWRWheG6lnehGGhXtFJVrAAQo4WoMzIrBnCimMJBLJWUXR1XJh/7h9Dm3C3lOOZj++qxpBYdxKXXJDN/GHD5E/FMfRemLr2/hvj6BoCsGbFpzQOl8POfFf21yqHVKOpZM45p3aUlev8ZQF3bmCc2kI18GqsoA9GbZaD/Z5/lLkbhJzBdU1tY8fM1mgODD9wlRRSoKx3AxXIjlNjq8r0qYrlS6SRa9wzFikxj7PT2bzAEP37QJTkPh9B64VlWc90iCKFrmDsVJz8oyBopQWZUbHIixB7FcHST/bixZ04L9xHs72inKatJUzyGwaKLmQqgoVt7aTeraH6E/3kXq6B/81TShOHc1rm1TWAoCVN8Ca+DOw2J8m8cdOcrsjiLyJYlNRfXYiP96DKFq4loSIPXwYI5Kj6r0rT/rMg5IZkpksYKsa3z5D89io+ZsLAFHuwXey1LhXClIYSSSSOYHqmHgi6r2kluT6ThKPH6XqfSsRhkX6hT5Sz/Yiilb5ODOSw3dt86T6iZ3JKqCt1kPqYAxhWnOu0euJ0Lx2wm9fPNPDmBT5gzEiD4xP0ZwOPBfWUnHLwrNyLcm5x/HCaLrMF4zhHNoZ1hdNBY75pQm7XuHEc2Et8d8cJr8/hrN9aibeVt5AFK0xjnjHI0yL9PN9JB7vwEoXUewqmt+BlTfIbBnE1uTD0eSj2JcmfyiO58LaksX0SJq34tBKtTZ5AwyBvdlH6K2L0MMu3KuryWwZIPHbIwz/cHf5mrYGL862IFbGQPXZSnblukr62V6EaeG5qK7U6+fn+xCGhbMtiF7jBgGiYGLGS6l6il3DvaoK59IwzgUBhIDh+3YR/dm+cvNQ3zVNpxRFwCn7UpWE87mbFncmSGEkkUjmNIpNw39NE7FfH6LvPzZiZQysVBF7sw+9/ljhr7o8jO/qxpOc6eVhq3WDWaqzOdeb285GHAuCVL3v5OmUU0F6Yz/pF/vwXt2IrXLmJp6SmcdMF8EUoILqsk0YnSl0p0qF68f1ri/WHqvDmw7zBSEExlAWd/PM1fDZqt2Ebl+Co8WP6tZJPtVNcn3XOGFUHMxgDOdwtldMekHKTBQY/NY2zHge/6vn4b20ftxrh76/i/y+KI7WAN6rGnG2BVF0FWEJMpv6Sf6xk/TmgVIWwRsW4L2sHmEJ8gdjFPsz5fpWRVdxr6oak+WgqAqe1TW4lldS7EmBVYr0pJ/vI7mhq2RXnS6SfrYXdBUrUQAg+YdORNEqibL5frI7hskfipfOaddQXTreKxvxXd04xsVNASrfvZT0830IAZrfjmtZ5Zn8WCSTQAojiUQy5/FcVEexP4OVKYKm4lldjaO94qymbYw60+UPxbBSRYRxLFqFquCY5x/THFEytWg+e9lpcDrRq9xktw+R+N3RWRVNE0KUXBHDzhkvDD8XMZOlybi90YdzSYjMi/2lHi7HoTg1FFVBcWil+hNNIfGHTkDA6MTdFBSqB2DVyLcDBpGnSlEKM1UsmcvkSi0OtKADx/wAnkvqJkyFOhFWpuQmdqaOdFOFe8Wxybvv8nrivzlC/1c3lwMUVtbAHDGJcC4NE3prO5ktgxQ6kviuakCvdpPfF6XYl8F7eT2KrpZ+Dt/ehpnIY2/xE//1IYrdqTENxc1Envy+KL5rGvHfOLYuVFEVPGtq8RxnT378PufCikmnk6l2rZxm7WgN4L20vmxUU+hJkXjsKKJo4n/HYlSnTnJ9F5rPjv/6FhRdJfja1km/l4pNw3u5bJh7NpDCSCKRjCOzcSPRn/6U9PoNVP/d3xK89daZHtJJUWwqFW+e2dQmW7UbVIitOzjhfv/1Lfivnb4u95Kzg+az4728nuQTXRSubsReP/N2xJltgyR+34HRn8G5qILwHcsmXBQQQpDdPkTmxX4CN7We1mT7lU5ubxRjMIsZy5PZPIDq1vGtbSoVqFsCM1VEZA2EKDVWTf6pE0TJQKbijW3l3m2xhw4RPc76uLAnTWbHIJrPjurWsTf5UN06CDAGMqSe6yOzdZDqD66atNAZNYGZTQXznovrKPSky6IPQAs48F1WjzAE8d8epvdzz5XSnzWFzJYBbPVeiiPtAjJbB3CtqCK5vgsMi8o7l2Of7ye27gDpjf0E37CgnDKW21cSrK5V1We9pmn0evZ6L5V3LBuz73jxJpm9SGEkkUjGUBwY4Ogdd6J6PGg+HwP/9hV8112HFgzO9NBmNYpNJfTWRVipInqVG+W4mqjE7ztIPdWN94qGE9ZKSeYOvqsaSb/Qx/B9u6j6wMoZ7V1lpgpEHtiLXuXCvaaGzMZ+0s/14b2kDhgp5v5DJ1bWwErkKfaVJs3CPEjle5af07a7U0n+UAzVo1P79xdS6Ehib/Gf9G/ZiOcx4/mSUcfxEQu7CvnjIscFHUdrgKr3TJwGWhzIMPjNrQzdu4PA61pRNAX7PD+q48TTt8yWARSbWq7zmQ2oTv2kEVY97CT1dA/ey+tLkaCHDpHvSBJ4fSt6wEH0l/tJPHoEx8Igwde1lo0O3KtrSD/XR25PBPd51UBJGKk+eym9WSI5TaQwkkgkY0j8+iEwDOb9+MeIYpHDb3oTg/d8ndqP/9NMD23W415VPeH2wPUtDNyzhfRzvSV3PcmcRnXbqPzzFQx+extD395O1ftXTcrUYzrIbh0ESxB++2L0GjdmPE/84UNYmSJWukjq2V4Um4atyoXi1Km4dSEibxL79SGyO4Zwr5idFsqzCSHEiOtlENWpT8pAQA840APj64dUh4ZqHvtdUfI6iuvEAstW7SZ8xzKGvr2d4ft2AaCFnITfvnhCd89RcwHXyqopd36cTlzLK3EtP5Z6F3rbWBFlb/FjRHI4Wvxjtzf5UH02sjuHcZ9XXerNsy+Ga1lYin7JGTF3/mokEsm0I4Qgvm4drlWrcLTOByD4ltuI/uhHVLztrTgWLJjhEc5N7E0+HG1Bkhu68FxUe1KXIMncwN7gpfLPlzP0nR1ktg/im6H8//SmAWz1nvIKeujWdga+sZXEY0cBcK2qIvj61jHuXcISpDf2l+ozetIouoprRaU0DTkBZiSHGcvjmALzFsWuoZjHCuspaKjBk0eRHc1+aj96IWYsj5ksEPvVQQa+sRXfq5pKdtHH9d7JbBlEFEw8F4+voZnLnKiGUFEVXEvDZDYPIIoWhZ4UImfgXCRtpyVnhnw6SySSMvndu8nv30/tp/65vK3qwx8m8fAj9H/pSzR/61szOLq5jX9tE4Pf2k7PZ5/F3ugl8Jr5syrVRXL6OJr91PzNavSKmUmlK/anKXanCNx0rIhbCzio/eiFJbc0hQkNPxRVIfimNoa/v4vkE11gCRK/O4qtwYvqHD9J10Mugm9qm7ZmlrOdUeewydgjnwrFrqFYxzmO5XWUSZhlHC8MHPP8xH51kOTvO8huHcRzcS3O9gpUt430833Yat0n7BV3LuJaVllKpzsQpdCZBAWcbTL1W3JmSGEkkUjKxNatQ7HZ8L/mNeVteihE5Yc+xMCXvkRq/Xq8V101gyOcuzhag1S9fyW5vVHyh+OTmgxJZj8zIYqsnIERyZF+rhdUcK8amw6nqMoxF7QT4Gj2U//JS4BSndKoy5owxZjjRMEk/UIfzsUVr1iL4PyhOKrXhj4FETXVoaGgoig2hChCXhtTjzipc7hthN62GPcFNcQfOUz84dLXKME3LHhFpZE5WgMoDo3IT/YiChb2Zn/Z7EIiOV2kMJJIXoGIkZ4axz88c7t3E/+/dXhf9apxRguh299B7IEH6P/il3Cdfz6a75WzGjmVOOYHpj1KZEQiiKJx4gMU0CsrUVRpHT4XyXckGP7+Tqx06WfsXBx62TblmteO7+omfFc3jdsnTEHfv28k8cdOnEtnX92GEILMxn6yO4Ym3K96bDjmB9ArXRP2sbQ3+Makok10/vzBWGnyPQX3ProgoioOTFFEKdjO2F7dubAC50cqMKI58ofiiKKFoitlE4JXCoqu4r+hhfyhOLYqF64T1HpKJJNBCiOJ5BzHGB6m/1+/iBmJELrzDqxUioG7/xMtGKT+C5/HvmABmedfoOuv/grV46H6b//fuHModjvV//APdH3oQ+y78CL0mhq8V12F77pr0QIB0G04FrSiumTDy5mm8wMfJLdt20mPsTU2ErztNire/jY0v/+kx0pmFmEKcnsjGINZrIJJan0Xqs9O6A1tZYey6UTRFHzXNBL75QHy+2OTMh6YbsxkgczWQRh5b/KH4uiVLpQJ0gALXSkymwZOeC77PD9V71s5YZqgMAXx3xzGTBRwtk3NfY9Gh1QcmKRQLNtpR4xeil7hRL9g9lhzzwS+yxtmrM5Pcm4hhZFEcg6TfPxxev/5U1ipFFpFBZ3vfR8AjoVtFDs6OPzmW9DCYYzeXmwtzbTcey+2hgYyBQOnrqEeN1nwrX0Vzd//PtmtW8nt3kXi4YeJ/exnxy6mabhWrqTxq/+NXvnKTLmZDYTfexdmJHrC/SKfJ/n44wzefTfRBx6g/otfxHPxRWdxhK88MtsHifx4z0mPUWwaeqWr1Bdn9M9OQKEriZUolI+zN/sIv3PpWWlmO4pndQ3JxzuI/HQvqAqax0bobYvKTY3PJqONVo3BLACKS6filoW419ScsHeTMZjFjOfH7Sv2pIj/5gjJ9V34rylFy8xEnsQfOjGTBcxojmJPGs+ldbgvmJooRDliROnnp5pnHjGSSCRTjxRGEsk5iBGJMPDlfyO+bh2OpUto+NL3sLe0EH/kERRNx//a12BGowz8+39gpdN4PvAB/DfegBYMsq8/yS3feJrWKi+ff+NyljccS/3yXHxReRJt5XJkt2xFFAtY2Sy5XbuIfPde+r/4JRq+8m8zdeuvePzXX3/KY0LveifZrVvp+eg/0PHud6O6x9dOKC4XNR/7BwKvf/10DPMVha3KPWGa2vGIvElxMIMZyY7Zbm/w4rm5FkdbABQFxaae/aaVukrgda2knu5BDzvJ7YsycM8WQm9bjGtp+KyNoziYIXL/bsxYnsr3rij1CNJUFO3E74eiKNiq3RM67jnaghS6UiR+dxRFAVG0SD7ZjTAsbJUuUBUqbmvHc0HNlN2Dai+l7amUrLwVy/6yI0YSiWTqUEZrDeY6a9asERs3bpzpYUgkp4WVyZDftw+tsoqYP0ywkMbo6MC5dAmq04kQgmJ3N6JQRHXY0evrQQhiP/kJ8XUPorhcKKpKsacHK51Gr6+DokFu926EorDvulvYevWbaK4NEvaWHsS5okkiW6S1ysPV7dVox0WFoukCN9/zFJmCAShE0nn+5rp2/nJt26QmY4Nf/RpD99xD03e/g/fyy6frbZNMEVY6TeT+H2FGIuP2ZbdsIbtlC+EPvB/3hReWt+vhMM7FJ27UKDn3MeN5hr6/EyOap/7jF0/ofDeVGJEc0Z/vK7nD6SqV716Kc+HUpLaZ6SIDX9+COZwDSoX8wTcvLAmjacBMFej93HN03vh5suIw7Y99h/Ady3AtDk3L9SQSyXgURXlRCLFmwn1SGEkkk8PKZEg/9xwIga2uDueSJQAU+/sxo1EcixZhxmJEvvtd8oePoHk92BoacZ23CntzM4rLTfrJDUT/bx2R7n4SqRxVqWE0YQGQ02w4zWLpnC4Pu1tW0NR7kIr4YHkMyVA1g8JOa7SLznATpt2BXZjE/WGKDjeh1DDFosmTvhaeqltOd7Aep00jlZ+4GL8h6OKOy+Zx+yXN9MSyfPTn29jRk+An77uE1iovn3pwB+u29PC6lXX8+22rcNpOvrJp5fMcfsPNCCFo/fWvUB3jGxxK5gaiUKD3k/9M/MEHx+2r+/znCN5yywyMSjJbyO4aZvi+XYTvXIZr0cub1AshMIdzaBXOcdEfq2Ay+PWtGLE8vqsb8VxQM+XNdIVpYeVMFKWUmjedETmrYNLzz0/TfcNXyCqHaXv0HqretwJHq7SXlkjOFicTRjKVTiKZBFahQMd77iK7eXN5m+/667A1NBK9/35EsYhR2wCJOFo2Q6KmES2fwxMbQhkRPqN0+Ws45K0hVOdgp/9CnlaraNXzXKol2Zizsw8fl/Xu4JLD2+iqbeXBRa+iz7LhK2S4qH8PC40oT93yQTYvuZxE3iiLHsMUJHNFnDaNG5bV8tUl1Syq9WHXVIZSBeLZUp2CXdPwOXWePTTM9585wucf2c09fzpAIlvEbdf5j7es4vzm0mrs3W89j8V1fr74mz0sqfXxl2sXnvR9Uh0Oaj75STrvuovYT35C6F3vmsKfguRsotjt1H3xXwm9+11YuVx5+9DX7qH3U5/GVl+P59JLZ3CEkpnE2V6B4tTIbhs6Y2EkhCD9bC+pp3swBrPo1W4Cr543xhY7+fsOiv1pKu9YhvNlCrAToWgqmufsuDQqNrXUX8qyo2glgSet+yWS2YOMGEkkp0AIQe8nP0n857+g9tOfxrl8OX2P/5H0/96Lms/x5IKL2ORr4vKe7eQ1G/cvvZHByiYUBYx0mrZIJ5W5OK0uAW3tZNuXcf2yWq5pr0JRFCLpAkGXDVVVyBsmG/YNsbjOR2NFaXJgWoIn9g2w8UiUWy5oZEGVd0rv74UjEe598jD1QRcfumZBOeXueN7x7WfpjGZ44u9eNcaQ4UQcveNO8vv20fa7x1A9Z79A+0QUBwbIvvginssvH+PGZqbS5HZsRxgmZjRCbvcerEwa5+LFuC+6CEdrqYFm+tnnsLIZvFdcQXbbNvo+/RlQFIJveQv2lmbMSATHkiU429tn6hanHTOZ5Og73kGhq5vAG2/Gf+OrUV1OrHwec3gYM5mc1Hls9Q14r5i6dMv4rx+i56MfnbLznRBNo+ajfy9FPxD56V6yu4ap/8QlZ5ROl1zfRfyRw9ibfDiXhcm80IcxnBt3nP+6ZvzXtUzFkGcF3Z96mt7Lv0bWfpT5v/0iNX97Abaql98jaTIIw8DKZlF0XbqISl6xyFQ6ybRRNC0yBRO/8/TSDzojGdZt7iZXKJCOpdgaNeiJZfE58NZUHAAAIABJREFUbSyt8/O5Ny3H77QRyxTY3BEjli0wv9LLeU1nP91g6JvfZPA//4tt17yJz9VeDQJSBQNvPs1Cv07T4vmsaAiwvCHAgiovIY+9XLeTK5ocGU4T8tip9s1dO9UHt3TzkQe2cP9dF3N526kd57JbtnDkbW+n6q//msoPvP9lXVsIcdqpLVYuR2rDBkTumBNV/uABIt+/D5HNorjdBF73OtwXrsFMJhn6+jcwh4fLxyp2O4rDgTUyyfddfz1WPkd6/QYAtHAYMxLB1tCAFgyS27FjzPVdq1ZhX7Dg2Pk0Fe+r1uK95upzon9Qsa+PwbvvJvHbRxH58W5fk8F77bU03fO1KRtTbu9eko8+OmXnOxGZ518gu3Ur8x9cVxbMsxkrn2fo69/AGDyWkqs6nYTf8+fYGl6evXF2T4Th7+0k/O6luJacnglD/lCMwe9sx7UkTOjPlqAoCsKwyO2NIArHouyKW8e5sGJCO+25Ss/nn6N/9b3kXEdp+u3Hqfuni9D805N2bESjFA4fJrdjJ4lHHyW7aRMIgWK3U/mhDxF+z5+j2GQzVMkrCymMJKdNrmiyty+Jz6kzv9KDoih0x7L8bGMnP9vYxVAqjwAKRukBdkVbJZ+5eRkOXWV3b+l1tX4ntglWEZ85OMw9P17Pm7c+woX9u/EWc2xbehkHr30T3d4qHt8zSHuNj3dc3MxXH95GNpUl4ShFHe68fB4fXrsQm65i11TsE5y/aFo8dyjCioYAgTPofi1Mk/zevSguF/Ff/ILh73yXZ1ov5PMrb+Pm1U0EXXbCXjs3LqulrXpqozezlVzR5OIv/J6r2qv46tvPn/AYw7RI5AxCnlJ6SOcHP0TqiSfGrEpq4TDB224leOut6BWnLp7ObN5Mz8c+hh4KU/33f4979dhrF3t6SD/9NK7Vq3G0tmImEkR/9GMi9903oaGA78YbCd56K4lHHiHx6KOITAYA95o1hN97F6rPj+bzYp83D3SdYnc38V/+ksh9PwCg8kMfwj6vhfj/rUOvq6Xqwx9B83rI7d2Llc6gBfykNmwg/uCvMGOx8nWtTAYrHsfetoC6z34W9+rVp7z3M2X9vkGimcJJj3HbdSrcNs5rCqJrZy7UzFiM7PbtpYmWzYYWDpcicZMQsordPqnfgdmGMTTEwdfdhKOtjZYf3Derha4Qgt6Pf4L4L3+JXldX3m5GIqg+H03f+DquFSvO/PyGRc/nnsO5IFAWN5N6XdGk98svoDp1qv/iPFTnKyurv+8rG6GpgFarkv9NkfpPXzot70Fm82aO3v5nYJWe046FC/Fecw1aKER282aSjz2GvbWV0Lvehe/GG06rJlSx21H0V9bPTXLuIIWR5JQIIfj97gEe29XH9u4E+/uTYBRpTvSz2hzGmc+SyBZoTvZzQaYHn1laJVYUBUtV+Vnjxfy06bLShEgIFkc7uKJnGzGHl153mKKmU9Bs7AjPJ5hL8d/PfpMKI4P/umvRvD5iP/85olBAcTgo1NbzouFFLxY4b+ggumXAgoX/n72zjpOrvP7/+947rusucXeDeHAIHly+SNvgpbgU+istFCkupZQCpbgGCBKBCAFCSIh7sln3WZuZHb3y/P6YzSYb3RAh0Lz/ySvP3Ofa7Nx7znPO+RxKPVls8YUQbS9fgYSiyEQKupF29pk40lLZUBvk01XV+IIxrp7Qjbsn993ne1H/n//S+MjD7f//otsYPpt0MU9cOKy99ubXjBCCB4prMIRghNfJialezLLEfdPX8tYP5dx0Qk8qmsI0h1RaYxoCQTius74mgKoLpt8wlv45XuKVVTS/9Rboevu+oxs2EP7hBySHg5TLLyP5/PORLJatBya8ZAktH3yI1tyEKS2N0HcLMWdmJmq4fD5MGRnIHjeS2YKIx4lv2ZKYK0k4x4whsnIlRmsrzvHjSb3yig7GoOxwYM7cJrsrdJ3Yli0YoRD2IUP2aNQZkQgIsUtZ607dU00jMGMmvmefRa2uJvOPd5N80UUHpcj7zH98x8qKlr1vCEzslc6Llw3HajpS47AvtHw4jZp77sE5cQIpl1yCc+xYJOXnu4fRdeuIl5YCILvdmFJTkaxWWr9eQP3f/07addeSfuON7dvHtmyh4uprUGtqOvU3bc7KJOu++3AMH77TZ/6ZpQTnV+AcmUXSWT32KJ29la3CDWm/GXBYNIw91NQ9swzFY8Wc6yI4p5zcB8cdlIhYw7//je/xJ8j7x3NYe/fGkpfX4fPg3Ln4nn2O2Pr1P2n/stOJfcgQks47F4DI8hXIHje2fv1wjR277dl+hCMcZhxxjH5G6gJRWsIqhakOKpsjvL+0AqtJ4TdH5+OymfmhrAWv3dyhV8yBIq4Z1AWi5CXbOxhg329ppMjXyikDskhxWFhRXM+Ln69gZo1GksPM4CwnkyuW0O/L9zG17LDq7nTiHDIEJXVbEaxaVU1k6VJqh46FzCwyilYjF21CKCYkvaMamub2gtWKJRqm4NVXsQ/on9hHXR2t8+YTLysjXlZGsGgLcc0g64RjMaWkEFq4ELW6mpiqE1d1QCAMAbqOPdBEXDbRYnXh0KIsPPZCPsobRYbHxntX71txuFBVVkw4llIcTO82jojJgn70OF68bCTJzv+Nh/yillbOWl6EDBjAuZnJPNevkI21QU55egGGgFSnhRSnBZfNhCJJmBSJPlkePlxayYTe6fzj4t1HRKIbN9Hwwj8Jzpi5y8/NOTlYenRHq6nBNmgQmXfdhaQoNL/9DrGSYgx/AKHrIEnYBw/GOXYMwVmz8X/8Mfbhw0ibOhVbv34H5+bsJ3ogQPXtd9D69dfkPPr3g9IjqLI5TEwzdvu5EBCJ63xf3MCDX2zgpP6Z/H47UQ2TItEzw91Bxv0IHRFC0PD88zS/9TZ6YyPpt95C2tSpB/24rd98g6QoOMeMaR/TAwE2T5yEiER2Occ5cQL5//znTpEtrbGRptdex4iE937cefNRq6rwnn4asteLtUcPks47L5H+JgSB2WUE51XgGJZByvm997q/RG1SEzl/OgppPyKWhyvCMNrvd/N77xH49DMy7/lju8x9/QsrkWQJc66L0KIacu8/OK0Nqm65lcjKlfSY89Xuz1WIhDT/suVAJ+1BITCiMfSmJoLz5qHV1AAgWa2IeByEOCBp1Ec4wsHiiGN0CJn+0jSqv/0BgAqTm/eSB6AqZvJafRQEalEk6O/bwvEVS9EVhVl5I5jebRy9BnYn2WFhWXkzA3K93Hlyn53StLYaM3nJDnpmuIioOoGIRpY3UbsihGBtdQCAssYwj87aQGljmH5ZLk7r4cXi9fBdUQPzNiZyzc2KRHejldtmP0tuqIFQXlfScjOIrVuHEQxiHz6c5IsvwtanD0pKwhFSvN6dXrDCMGj890v4nn4ayWTC1q8f3jPPwHvGGQjDQK2sRGg6ms+H/6OPiKxaRe6TT+6UFvVTiW7cSMVb70MwAEsXY+nShVem3MYHSytZdd9J+2TgNX4ynfo77+SNM/9AzzNOIqoZXDGmy15lqn9NXLu2lDlNARYf3Y9/Vvh4uqyO5/oWcG5WClUtEVxWE177rlMUH56xgRcXbGHOrZPomrZn0YXo+vWEt1P5A7AUFuIcPfqwTk/aX4Rh0PL+BySdfdbPvqL6n+9K+Mun63Yaz02yc8aQHEIxDV8wxvF9M5k8MBv7EfWsDoh4nODcediHDMaclXVQj2VEo2yeOAkJ6D5nDoor8ftqeu016h58iLx/Po8lPx89EERrbABVBbMZ1/jxyLb9q2/UW0PUP/IwgVmzQdcxQiG8Z55B2vXX4//sMxS3Bzl1DK0Lqsj4/VAsubtPMRZ6Iv3O3jelU07U4UKspITy3/4Wa7fuuI49BktuLorXi+zxorhdoCjEi4tpeOFfRFasIOv//QnZ7aby+hsSO1AUks87D9nrwVCHINk8WHJdhFfW4T1BOih937ZMPhVLt67kP3fgavl2ROg64SVLkB0ObH37YsTilF92GZLVSpe33zpoxz3Cz4tQ1V90bdoRx+gQMu/mP5E144P2/8e9KehZ2dg3rm0fE2YzG3sMR9JVehUtR3O4eHT87yhLzef0aCnlZXUEJDOBPoOwpKaS7LBgNcvM21BPIJqIwDgtCqF4IkXpD8f15Kbje/LA698iv/sGsjAIWJw09h7EuD5ZZL3yDPm+Mpal92Jp4WDG98+lV6aLZSWN9J71Hg4tiveSSzFWLMOIRLAN6I/72GNxjh+/T6k+WnMzstOJ/DMae7UP/I2WDz9kzb8+4rZpa/jqlgn0yHDvcY5QVeKlpZgyMlh1waXUNwawvf4eE/scuG7nvxR8cZVhC9dxeW4qD/TMQzME56woYm1rhDkje1No33MOen0wyrhH5nHOsDwemvLTaxeOcOhYWdFCfXCbgII/ovLx8iq+LWrAbTXhtJqoDUSxKDJWk0y6x8qrV4yiIPXQqGgdIUHLtI+o+eMfAci47VZSf/c7hBAUTz4V2eOm67vvHpLzEELQ+MIL+J5+psO4c+JxKNkXYy30kHblgN3Oj25upuHlNaT+Xz/s/fdNsKH9HFSV8JIlCE1Dramlde5cops27XJbx4gR5Dz4t/024sqvvprIkh9R0tJQy8t3u52SkoI5O5vo2rVgMmHr3Zu8Z5+h7u+PEvzyy0SWw9gbsPU7CnOui/CPW2ideReF/30V+6BB+J5+mtDiJRiBAKbsLFxjx+I96yxMaXsXvdkeIxxm4/ARpFx3HZtOvoAfipuwWxTsZoWIqmM3K5wzPG+3i1z7Q+2TT9H80kv0+n5hB/XPI/zyEULQ8t771Dz4IMnXXkf2NVd1ak58yxasPXocgjPsHPvdx0iSpHzgSeAEQAK+Am4SQuz+6bBtrg24H7gUSAJWAHcKIRbssF0psCs9zrOFEB935jwPB4558n548n4AQj8spuGFhBqQ99ZbcI4Zg6QomLOy6JeUUFeLFZdQce013DPnOWSnE725uX1f8RU2vh96PJG4QX5NEaN69CH/0guosyWxpjpImtfBxrogT8/ZzMIiH2e99ShDGovBbkcKh5A2zIJPQElPw37ppYz86iuG/fg+tPmPIwAlLY2C1944IJ3sD4dCavvQITS/8QYDo3UArKr079Yxim3ejO/Z52j97jtEKASADfhmwv9xf++MQ3XKBxUhBAagdNLBfaemCVUILstJvIRNssRz/QqZ8MN6ni2r57E++Xucn+G2cd7wPN7/sZIrxnShd9aendIj/PwM3oXS47nD84jEdWzmROTuh5Im5m2oJ64bfPBjJbe+v4J3rhp9JN3uENL89ttYunfHnJVF4yv/Ifnii4msWkW8pITshx86ZOchSRJp116LpXt3Yps34z3zLELfLKD2wYdwHtOTaHQYsbIA1sJdG8SRtY1IZhlbr5+mMCqEoOrW2wjOnt0+Zs7NxTFyBJKpo5FvhMMEPv0U2WYj669/+ck1fa1ff03o6wVk3HknKVdcjlpVhd7QgB4IoPv9CYl6IVBcLtwnnIBksdDw/POEvltI7jPPYM7MIO+pJwGof/ppWhcFEXEdEdMRWhQ0jco/3IS1Zw/C3y/CcdRRmHNziG8ppv6xx/F/Mp0u77y9T60PYps2gRD8eZ3KzKrFW8t/O/DUV5s4e2guFpOMqgviuoFh7HmxvEeGiynD8rCZZX4oaWJlRQsbaoIkOcz0zfawqLiRqvUmHtF1Qt8vwnPSift8v49w6DDicYxAANnpJLphA8HZXyJiMaw9e6C02am2AQOw5Oej1tZS9/AjBGfOpNVsx3jmGZImTcC+g/1ohELEy8ux9u6NJMs0vvQSvqefocvbb2MfuPtFk8OFvTpGkiQ5gLlADLicRBLqA8A8SZIGCSFCe9nFy8CpwO1AMXA9MEuSpNFCiBU7bDsLuG+HsY17O8fDFedRo3AeNWqP21i7daXLO+9Qc/cfkSwWks47D2u3rmiNjTS+/AoTZ30GioK1WzdiCz+Db6eTDgyQJJzjxuE591wsfVOIffEZw3ybybzvz6RceCG630/ou+9Qa+tIOu9cFLcbcfddaLW1HR6OptSUX1Uvg61qX6mlG7Gb01lV6WfKsETBqRoIsuzKqzElJeHKSEOb/hFhk5UF2QNZ27srSbEgdi3GgMsvOKidzw8VQU3nitUllEVj/KtfF4Z7O75UY4bBgqYgAhjsdjC3KcALFT7GJLno5dyWepNvs3BOZgof1DXxx+7ZpJj3/Ni48biezF5Xx9TXfuST68f+omqzhBAEIhoee+fk5wNRlWhcJ8lhQTMM/BGVdJd1v5TeDhe2T5s7ulsqR3dLrO4PzPVyy3sreXbuZqYM3VbM7XWYD8rq8xEgsnoN0dWrybz3Xmz9+lF28cVU/v5GNJ8PxevFc8oph/ycPCeeCCcmjF7LRReh1tXR+PKreM8fReNr6/CcUIhkkgktrcUIqu3ztJYo9r6pSD8xPbnx3y8RnD2btOuuwzVxArLbjaVr193+XuufKKDxxRcTgi7bLd5Ze/bCe8bp6C0ttHzyCXpDw26P2frdd1i6dCHlkouRJCkhYrCDkMGOpN94YwfBi62YklNA24IR1RLOUTyMfcRwouvWE17yI9l/+xtJ50zpcOyKqVdR86c/kfP4451+N0U3bABgqTmdpy8cwkn9E6meUVXHblEoqm/lyS838/aSCkyyhFmRMSsye3p0GQLeWVLBIzMT+1Z1gSRBl1QnTaE47yypINlhRsruTsxqJ/Tttz+7YyR0nciqVYS+/x5LQSHuE47fJ/U9SDgPsfXr0QNBhBpHdrowpaViKSxsV+bbGhVBln8WGX+hqkQ3bARDR62tIzhrFrGiIixdu2IpyEeyWDHn5OA55eSEMMs33xCY/imt8+djhLfVGeqKCWE2Y4p2rFm0DxtGdN06DE3ntf6TWdx3HA98+iAbb7qdLtf8ltjmzehNzWh1dYR//BERj+OaNAnXccfie/wJXKecgq2tpvxwZ6+pdJIk/QF4AugthChqG+sKbAbuEEI8sYe5g0lEiH4jhPhP25gJWAtsFEKcsd22pcC3QohLf8qFHC6pdAeaeGUViteD4naj1tURnDUbIxxGDwQIfP45Wl0dmEwIwHnUURS89O9fhVG/P2yedAyOYcO4qdc56IZg2nWJ3O35T71M5guP0WR1kxILMjd/GKvO/A39+xaQ5bVR648SimvcfHyvQ1pTVBdTMUkSKWZlr99dzDBoVnUyLXs23GtjKpetLmZda4R0i5mGuMZp6V7iQhAzBIYQLAuEadH0DvMGuuw82SefAe6OaVLrWyMcs2Qj93TL5veFe08xXFbezIX/WkTPTBeD8rYJi6S7bVx6dMFh2dMpEte5+o2lLNjkw2010SvLzdHdUhiQ48VrNxOIqqyrCdISjiMErKsJsLy8mR0XWDPcVs4fkd+hRlAzBBVNYapbIozpkcopA7J/sXVrQgiuf2sZX6yu7TBuNcncdHwvpo7v+otyDNdU+Smqb+309rIscUzvdNy2zjuBrd98S/3fH/kppweA1tyCEQ7T8+v5KG431XfdTWjhQgBSrryS1Cuv+Mn7PlBEN2yg5KyzSb/zbxix7sRLE/WupnQ75pxtvwVJAtf4vD3WIe1IeOlS6h56GBGLEivagueUU8h5/LFOveuEYVB7//20zpnbYUxvaEAymxGqCoqCKXX3aX2S3Ub2/ffjHLXnhc7O4P/scxpe/hZrn8mYc11Elv2AY0AE94knghC7XFFvePHf+J54goy77iT1iis6dZyaP99H7fTPuPqch1h87wn7fd5b2VQX5IOllUjA+J7pDC1Iwmk1IYSg2h8lzWXhL5+uo9dzDzDW8NFj7pxDbpMIISi/4krCS5YkwmTb2bmy14spORm9tTWhmKooOMeMxnvmmRjBVmKbNqHW1KA3NSE57KDphBYuxAjtHAOQLBbM+flIsozW0IDe3IxktVL41pvY+29zAkILFyJUFdfEiXs8byMWa3faYsXFVF5/A1p9PZLJRMoVl5N61VWEf1xK8xuvoySnJBwesxm1rh7/9OkdnHslORnbwAGoZeXEq6sTNYeA7PGgeDyolZUoKSkYYyYwX/OypdxHgz2JDV0HUasppEX95FkMFEOnf9lqji5dSok3h1f7noKrSz4fXjOGv//pRS774h8AqIqJoM1NyOZkTXoPAmYH562fjaxptPboyx1jrua9308i3X1w+nXtK/tVYyRJ0hzAJoQYu8P41wBCiN1+05Ik/Qn4E5AkhAhvN/4X4C7AI4SItY2VcsQx2ieEphFevJjQ94uIlRSTde+9B70A+JdA5c03E1m5kndueY43FpWx9i8nIUsS00+YQnKwEfs7H7G5ooGx/fPosheBgD2hC4EhwLyLdCJfXGVmg588q4VjUrellKiGIKDpWGQJQwgeLqnl1aqGhGOryIzwOJmQ4mZCsotuditv1DTyfm0zMcMgZggqo3EMIMWs0M9p73BskyThMSnUxVQWtrRilSVeGtCV4R4Hd26qZLE/hMekYG2b09NhY0pmMg5FZmUgTE+njWNT3Lt9iZ27vIiSSIwFo/rslJqnSNJO92H6ymoembEBVd+mkNbQGsOsyJw6KJs+WW4yPZ1zkNJcVrqnu/DYO0ar7LtxJqtbIvxjXhGju6dyYr8sLCYZf1jlle9KmLW2FkWW8NjM9M/x0DfbQ7LTzAtfF/NjaRNTx3cjouqsrvKzqtKPvp3nI0vgsZuRgPwUBxN7pZPhttISVjEpMi6rwryNPuZvrN/JYZIk8NjM+CMqXruZpy4cwjEHIWVzps9Po6rtdTtFglPSvHj3EgHcFVFV58t1de19zABmra1l9ro60t1WMj3WxHfD7g2iEV2SuePk/U/h3crKihY+XFbZ6e2FgBUVLayu8u/zsUZ2SebtqUd32gEML1tO06uv7vNxtsc1YTxJ5567z/PWVPl56qvNBCIqiixxTJ90zhmWR6rrwBooQgi2nHwyltw88l9+idgWP5IiYeni2S/DOFZSQumFF6E4ndgGDMCUnk7Grbf8ZOn8rUQ3bMD/yXQUrxfvlLMxZxya9OnQwoXUPvQ+1v5TUJIsRNd+j+e4pD06PEIIqm68keDceRT855UODlp03TrMBYXtYhxbKTn/AlY1xPjksnt45YqRB+tydsn0ldXMePB5blz5IblPPI7sdmMfOhTFdWj6/kXWrKX03HNxn3wylq5dsHbvgXPsGKLr1hGY/mki6uNyI5kUjFCI4Jy5GK1tiyOyjCk9HSUlBRGNIlQVx9FH4ZowAVNaOpLFgtHailZfR3T9BtTKxDNHdruxDx5MwwsvgARdP/gAU0oKgS++oOq228EwSL7s/3CNH0/Lh9NQa6q3nbAh0Gpr0Xw+HEcfTfrvb6Dq9tsRsTje004jXlZG6/z5mAsKUMvLUdLSQNO29cpTFFyTJuE9dTKyy5WQUR88uEOfKWEYRFasoPmNN9FbWoidfDr/iOfyydp6HGaFK8d25ZKjC8jy2KhsjvDhskpqWqJAInvAYzMlIoqKxNlDc8n22imqD3LHX95Ecrnw9uqB3WYBCbx2M+WNYeqWLOfMmqX8u/tx9O/XhcfOG0xO0uGRobS/jlEt8IkQ4uodxp8HzhNCpO9h7jvAUCFE7x3GzwfeBQYIIda2jZUCyYAZUIDlwMOdrS/6X3SMjrBrml57nboHH6T4H29z/ZdVzPjDeCqLKsieeh7NUy5m/IP3/rT9qho/tLQigDWtEd6uacKv6ZydkcT5WSkM9zgpicR4qLiGmQ1+tpqMJ6d5yLNZ+MLnpzqmdtinDFyem0Y3u5UtkRgLm1vZFI62f2YAIzwOsq0WzLJEF7uFFLOJNcEIm8PRDsa3JgR+TceuyExO83JuVjLdHQcuMjPT5+eKNSW7/TzbamaI28FTffJ3a2yXNoR4fn4Rc9bX0xjacxPSzuC2meiZ4eLOk/twVFuq16a6IJe/spgaf+I+uq0mXDYTzeE4UdVgdLdUnFaFhtY462oC7ca9Iks8ecEQzhic077/1phGWWOIQETDYVHolenulDJbY2usXSgFEoWZWV4bFkVmUXEjby0u565T+pCXfOAFDE75cRPLg3uXYAYY6XHy4dDuWLZTATTaHH5J6nxt2lZmrqll5poaAlGNSFzf47YjuiRz64kHTpVsxuoa/vjR6n2ak5Nk5/wR+YzrmYbcyWtduKWBez5aww3H9OC2kw4vVbVPVlSxxbdtZdsXjPHejxUk2c30ynQTiKqsrQ5gViRO6p/FOcPzSN1DqmtJQ4h3FldQF4jynytHUpi654Wk+ieepPHll+n57Tc/ueZUCEF0zRqCX36VUP2bMwcjFKLLu+9gyd9zjePhSFTVqWwOt9e6RjdsoPKWZ7ANughMEuqWb0m5qB/eM87Y43701lZKzzsfPRCg8LX/YunaFd+TT9L475eQHQ48p56KOScbTCZcEyZSev75TMs7CttNt3LLCb0OxaW2Ux+Ictq97/Pqlw8htdmYstOJ5/TTEnUrApLOPivRSLsNIxolumbNNqlzWUEym1DcbpS0tHanSq2tRajqHv8Wav/6V1o+nEbPbxZ0SvzBCIcJLfoBU0YG1p499jnVbnsia9ZSdsklKCkp2Pr2pXX+fBzDhmHt04fmN94A2qI5/fp1aIRtSk/HlJpC89vvYIRCyE4nha+/hq1fP4QQ+D/+BN/TT+M960zSrr4a2W5Hbw2BoSOZzR1KIuKawY9lTXy9yceCTQ00tsY4ZUAWY3ukoRmCr9bX8fHyKqwmhcvHdOGqCd3aG7PvK4YhkHexOCyE4LXvy/jvwlKuntiN80fkH1bZTPvrGMWBJ4QQd+0w/gBwlxBit8uNkiTNJhEVOnqH8eOBL4EJQohv2saeBZYAJUAmcAMwEfg/IcQbe77EI47RoUQ1BBFj20qxAjh/YoPIOY0Bvmoe46cTAAAgAElEQVQMcGNhBtlWCyFdJ6wbpFt+eq1CZPUaSs87D9N9f+OEFVZGdklmwPczOP+HDyicPh1Hr5573cf2CCH4qL6FezdX0qQmjD0JOCbFTbrFzPT6FiKGgdek0Krr2GWZK3PTODMjiflNQR4vrcUAjk3xMNBtx2NSUA1Bq65zYpqXwTukrdXGVBY0B1kbjDA53ctRSYdmlW1vGELwZk0jLerOBm/MEJRGYnxQ18zNhZnc2S17F3voSEs43innSIjEi3ZLQ4hwbJuzoQtBdUuErzf5aA6pvHPV0ZQ2hvjjtNXYzAqvXDGShtYYX66rQ9UNHBYT54/Ip1/OdhE83aCiKUwgqpHsMO/V8Psl4IurqHspoAb4prmVP2wo54rcNB7ulUdA03mmrI6XK31EDIFVlrirazbX5KcfVi+0w4E7PljJ+0srufn4Xlw4Kv+wSA2t8UcY8/DcDjWkiixxzrBc7pncD68j8UzdVBfk7cXlTFtWhT+i7mZv28hPsROMajgtJt6/ZvQeV3wja9dSes65pN98M65Jk/a4XxGPJzIevvuuY42D30+8pARMJmSLBdnrJffxxw9Ye4dDiW4IrvjPYr7Z3MCJ/TKZOqEbdn8T1tsfwj7sCgDixXPJ+P1xuMaPA8AfVqloTtyPLmlOXNZtJlasqIjSCy7ECIUwFxaglpXjnTIFDIPAjBmIWKzD8R8bdiEX3HM1J/Y/9Jkkxz4+n6NjtdxzbBcwDPyffELgixntPeiQJJKmTMGcm4tWV4f/888x/LuP3poLCpAsZuJFiabezjFjcB13bGJfhgBDxz50KNZevdg8fgLhoUex8MIbE9G2lihbfK30znRzwch8sr02AlEN3RAoskRhiqPduDcMwZuLy/nPdyWcOzyP34ztikWRWV3l56VvS5i7vg5dCFKdVm4/qTenDspm7oZ6NtYG6ZLmpLE1xsoPZjBy1Ty6RxvQC7qy4v9uJiCZcK9ZhtHaytqCQcTlhM2U6rLSNc1JKKZR2hgiK+pn3KJP0Y49Cdvw4ZgUCUWSGJDrxbnd30KtP8pX6+toDsVpaI2xoTZIRVMYQySURSOqjlmRGF6YTJLdwtyN9e2LgFaTzGWjC7l6YnfSDnDk+JfCgXCMHhdC3L3D+N9IqMvtyTH6EnAJIUbvMH4CMJvtHKNdzFWARUCWEGKXSwOSJF0FXAVQUFAwvKysbI/XcoT9Z35TgOvXle+UqnN+VjIP98rHociEdQO7LCFJEptCUWY1+IlvZ6gpEqRaTKwKRni9uhEAj0nm5DQvM3x+wobB7/LSubkwE7MkYZHlXaar7Q6hqmyeMBHZ5eKdi+5iXpPEjR8+TIHXzNCZn+11fouq8V5tEw5FoUXV+KCumQ2hKEPdDu7tnk2S2USa2USmNWFoBDWdeU1B5jcF8JgUbijIJM2y7WcR0HRkwPUTncefg7gexyyb99kgnrqmlLlNAX44ul+He3AwqfFHOOf5hTSG4sQ0g8F5Xp67eBj5KUfkpPfGX4qq+GeFD49JJmYk6s/Ozkiil9PGskCYLxsDnJruZeh2znuaxcR5WSn7HE36NRGJ61z35lLmbfRhkiX+euYALj6q4Gc9p38vKOZvX6xn/m2TOpUiHFV1Fpc0dUh13RGv3cywgmTW1QS46N+LiKo6FkWmR4aLpy4c2m7QAe11JltOOnmPctY7Yu3Vq6MUtdmEe9IkPKeffshSrw4WD8/YwAtfb+H0wTnMXV9HKK5jMjRm/Pg+9lGJJJzYxi+I33w2fSeMQgjBKU9/w4baIJBIFT5jcA5XTexG9/S2iEl9Pf5p0wh8/gXec6aQcvnliUa7hgGGge734/9kOptmzeeanFOY8eczf5b0pT9+tJpPV1Sz5N7jWbDJx+juqbjMMsgyemMjvueeo+WDD0HTkMxmHMcdT/GgMcQtNlwWhYHZbtBUQk1+AmUVOEqLMCIRnKNHI+Jxmt96C62+vuNBFQX3sccQ/PIr7pt4LT8kdwcgyWGma5qTddWBXTa/zk+xtwvJLNzSwJLSZvJT7FQ0RXDbTMQ0g7hm4LaaOG1wDh6biUXFjays9OOwKIR3iI4Pzk8iP9nO15t8BNsyBywmGZfVhNOq4LSYsJhkhIC6QJT6YAyTLJGf4iAQUXe5YGgxyYzulkqyw0xjKM53RQ3tGSNuq4kemS66pjkxyzIOq8KY7mmJe97mTPkjKiUNIawmmRyvvX2h5H+V/XWM6oCPf2Iq3bvAkM6k0u1m/h3AI0COEKJmT+f5S4kY1cVUZIn9iogcaJb5Q5RH4xyf6sFlUvDFVWY3BPi0vgVNCIZ5HHjNJsoiMV6vbqS308aFWSntUeDySJxXqhro6bBhkSXWtEZINilkWc2sD0V3e1wJuCY/nQuyU7h7UyVL/WFOz0jCIku8XdPUvp1VlujvstPTYSPZrGCX5e0j0PRz2jkpzdvBeYqsXEn5b3+H4vEgOx3ENheRceednSpSfmBLNc+Vb3vgDvM4uDQ7lQuy/zeMwbAaZvK0yeS6cvnT6D/RJ6XzdSCbQlEmLd7A1fnp/LlH7kE8y44U1Qf5/dsrmDwgi2sndf9FFf//nGiG4F+VPmpicRRJ4pzMZAa1OUFCCJ4tr+fvJTVoO7wmrsxN48Geuf/zkaRiXyvvLqngzCG5HSKRPwenP/stkgTTbxh3UPa/ttrPJyuq0XTBR8sr0QzBMb0zmL2uli6pTr64cTyyLBEvK0uoY+0NCez9+2POPXTPif0hpum8uaicll1E2WKaTmlDiKqWCFuTKQwh2FAb5OKjCnjw7IE0tMZYXt7Cx8uruPrlx0gZdW1i7rqPuLb/aD67/xw21AY447nvmDq+K8MKkvl6k4/pK6sxhOCeyX05b0Q+kgTWTiyy3fHBSuasr+fHe4//WX6n01dWc+Pby8lwW6kPxuiR4eLly0dQmOokquqsqGhhS00LE3qkYjabmPrmig71fsMKkji2TwYvfVtCS1jl6G4pXDAyf9u16zqh+gYqAzH6ZHs5vmcKdfffT/DLr1DTMjlz7K28/rvRjOyajEWRkSQJf1hlxpoaYpqBx25CkWVCMY3pK6r5vrgRSUo0t77hmB5cMDKf74sbmbasilSnhW7pTiYPzG4XXdENwduLy1lW1szkgdmM7p5KRXMYkyy1p02qukFrVMNpTThCu6M1pmE1JVQBIRE19LXGaAnH0QxBRNVZsMnHd0UNxDQDsyJzYr9Mzh2eR36Ko33eETrP/jpGcwGLEGLcDuPz2+bvSXzh/wH3srP4wn3A3WwnvrCb+XcCDwPZQoja3W0Hh7djpBmCuU0BXqtuZG5jALMsMTUvnXMyk5EliVyr+YBFEyK6gX0vP5KIblAUjiKAt2qaeLUqoWRil2VSzApVbXUwXe0W3IrCulAETSQiPWdnJPNI7zycSsfz/aoxwL2bK8mymBmd5KJB1SiNxJiY7OaC7BRSt6s5UYWgMZ5YRcmxbctr1QyBqc25WeYP8W1LK4ok4YurrAiEKY/GaVY1IrtIE0q3mOhisxLUdSane7mlMAt1zWoqpl6FuaCApPPPI2nKFCRlz/c5ZhgMXbiWkV4nD/bMQ9rhHP8XmFk6k9u/vh2HyUFUj3Lf6Ps4u+fZnZ5/w7oyPve1MH9Un702hD3UGELQoum7lRwP6ToLm1spj8aJGYJ8m4VBbvsuryOqG3xQ14xNljg1PQlFgpXBCPk2C1nWw2fhY3+JG0YHx+jRkhr+WeHjli6Z3Nol67BZLKiOxlndGtn7hvuJDIxPdmM7jIyRkoYQxzw2n3tP7cvvxh98qeCKpjDXv7WMovpWhhcm883mBl64dBgnD9h7Cu3BQDcElc3hnfr0QKK2b38VIHVDcOPby/l89a7XZ82KRGGqk/xkO8p29Xr5KXbuOqVPB0fmlW9L6P3n/0fhyERjzOiqdzil/wk8evFIVlS08Nbicpbcc3y79H19MMpt769iwSYfkMgcu+OkPlw7qfsez3ny09+Q5rby2m+2CTVsCkX5pL6ZGwoy92on7CuGEFRE46hC4FIU5JjO+L/PoyDFwUWjCnhm7mY0XeCxmagLxtpFbSQJXFYTuiH4+7mD6JvtYWlZM3+fuYGG1jhje6Qypnsa/11Y2qER9faYFYkZfxhP9zQnLe9/wDPrQ8y0FvDdncfusv5lVzSH4nt1YI7w62F/HaObgMeAXkKI4raxLiTkuu8SQjy+h7lDSIgoXCGE+G/bmAlYDRQJIU7fw1wTiVS6dCHErhq/duBwcYyeKq3ltbb0MKsskWkxUxaNUxNTybSYuDA7lepYnPdrtzVytUgSY5NdXJGbxompCQWfkKa3p5CVRWLMbghQaLfQ32XnxUofb1Y3MtLr5PKcNI5P9SBJ8Neiav5V6SPHaqa300ZjXKNR1RCA16RwTmYyKWYTj5bWUtPm/EjA1Lx0Tk7z8kl9M35NZ7DbwZhkF4NcdiRJIqob6ELgaFt1OZzQhWBeU5B3ahrxazq6gIUtrRzldfLv/l1INyuJQs5O8lFdM9euK+Odwd2YlPK/2bH7pnk3scq3imlnTOO2BbexrG4Z/z35vwxMH9ip+ZXROMcs3kA/l51pQ3v8LIazEIINoSiR7dKESqNxnimrY0MoyilpXu7omkVf17YUk+ponItXFbNhhyinBExO9zIx2U2jqhHRE47Cx/XN7WIaSSYFVQhCuoEiwQmpHnpuJ3yhSBInpnoY5v3l1zAZQnDj+nI+qGsmx2pmcroXuyyTZjFxflYKyT9B5e5AMK2umevWHZp06uNTPbw+cPe9cw41T3+1mafmbOL7u44jy3vo6p003UCSJI5/4mucVoVPbxh3yO/J6ko/d364inU1gV1+nptk552rjt5tau3qSj8fLK3A17qz0S0hke21URuI8tmqGu6Z3JepE/bP8fxsVTXKrXczcPjvAAiseIPJQ85gYK6XqpYIo7un8o+Lh3WYYxiCz1bXUNkcZlFxE98VNTDt2jG7bM4MiTTJAX+exdUTu3H7SYmI/5pgmPNXbqFJ1Tkx1cOL/bvwYqWPH/0hnu9X+JMWZ9+taWJ+U4DyaJyNoSit2z1vH+qVx+leN0l2MyZFpqwxxOOzN2FSJHK8dobkJ1GY6uDTVTUsKWni3tP60j9nW2uHYFSlxh+lZ4YLSZLaonIdRWWcVgWLInPCkwvonenmnauOpiWiMupvX/HbcV25e3Lffb6mI/xvsL+OkRNYCURIRH8EcD/gBgYJIVrbtisEtgB/FUL8dbv57wAnkWjwWgJcC5wGjBFCLGvb5iLgTOALoIKE+ML1wDjgIiHEO3u7yMPFMZpe38K8psQDOqIb1MVV3IrCRdkpHJ+6Ld1rfWuETeEoQsDyYJjPfS1URlXGJbmwyBILmhM5xjlWC+XRjvmmEnBympflgTC1cZVcq5l8m4VF/hBTMpPRhWBLOEaGxUS6xYwsQXE4xg/+hFrRELeDq/PTscsyhXZLB+Pw18CHtU3ctrGCY1I8vDKwa4fPlgVC5Fot7fVBW9kaaTtr2WZq4yoLj+rbaZWqXxPBeJBJ707i/N7nc+eoO2mJtnDh5xeiGRrvnf4eKbaUTu3n/domfr++vEPfo/WtERa2tJJqNtHNYWWAy35Q7nF5JMYfN1fxVePOhlJPh5VjUjy8XdNIUDfoYrcwyusk1Wxien0Lfk3nqT4FjPI6scoSFdE4n/r8vFrVgL+t55O57ZyHuB3c2S1R1PxubRN2WWZ8spuVwTDv1zbRvJ1IhSYEBjDK66TQnohAXpWXzkD3L7MOSheCmQ1+3qhuZGFLK0JAvG3x5PhUT7sk/J4Y5HIwNX+3mdj7TLOqURHdf6XDvTG7IcBjpbU827eA87I693s4mFQ2h7ngX4vIS7bz7tWjd/q8Jhbn+fL6Dj3LLJLEiWlejkvxtEfp94f3llRwx4erePXKkUw6CBL0O/L5qhoemrEeTRfUB6Okuaxcf0yPneT8o6rBQ1+sJ8lh4cXLhuPZLg1qwWYfby8uZ01VAJtZJn8XCpG6EFQ1R4hpBtdM7M5dp+y/vPwPxY2UXHcn44ZcDkD1yje5eeL5VLUkop2vXDGCY/vsvlecP6Jy8lMLcFgUPrp+LB6bmXBcY211gJhqEIiqfLqymhlrann64qHUJJnYHI7ymc+PS5E5PyuFJ8vqSDWb2muFz8pI4p/9CvfJqX2jupHbNlaQazXTxW6ll9PGAJcdhyLzSEkNhTYr7w7Zc1TrQPHO4nLumraaG4/tgSxLPPXVZr64cfzPnt76a8QQgrlNQd6taeLi7JQO7Uh+SeyXY9S2gwLgSeAEEnb5HOAmIUTpdtt0IeH4/EUIcd9243bgb8DFQBIJJ+tOIcT87bY5GngQ6A+kAGESCnWPCiFmdeYiDxfH6KeiGoL/VjfweEktTpPMGenJKBIUR2IMdNk5MyOZqlicZYEwx6d66OeyoxqC2Y1+/lvVwPctIf7cI4ff5e3e0NgUilIXUxmb7PrVG/2PltTweGkds0f0aq+Z2BoNAujlsHFpTgonpXl5rLSW92ubybSYqItr/Kl7DtcXHJqeFocb07dM555v7+GNyW8wOH0wAOsa13HJ55dwQZ8LuGvUXXvZQwIhBFPXlvKZz8/4ZBeZFjPT6prZvuw1y2JmqMfBruwymyzjMSnoItH3ySxLpJhNpJpNJJsVLNK2KKAiwYRkNxlWMx/XNXPLxgoAbinM7OD0OxSZUV4niiTRpGpMq2vm66Ygq4JhAppOqsXEqwO67tTcFiCsGzSpGukWE9Z9iEBupVXTebOmkbdrmgi1rao+3jufCSnufd7X4cq61gjPl9e3L8DsjYnJbh7r88uTX9aF4OzlRWwMRfl8eE96dEISvyUcp7SxcxLqe0IIQbTN+FV1g0BE49FZG9AMwcuXj4RkC8WRbZEPX1zjmbI64kKQsV1da1DT21JKFZJMe4/wuUwyIz1O+rvsyBLkWi2MS3a1G9JxzWDSo/PI8tr48NoxBzVqtKbKzzn/XEi3dBeDcr2ku61MndCtPfVsR1ZUtHDpSz/QGtu5t1efLDeXHFXAGUNydzvfMATBqLbXYnXNENTFVQwSSq0ek0KjqvFhXTOLW0K0aDouReYYlxP9tgeY0vdCADaufovSu2/nqS83YzXLfH/3cSiyRGU0TkNcI6Ansji2j8R+s9nH/728GEmCvGQ7NS1RtO1SzJMcZs4akkvB0Az+WFRFmtlEf5edR3vnUWC38lRpLS9XNfDXHrlUROM8WFzDHV2zODbFg12RO3QfixkGfk3vIKBUE1O5c1MF45PdvD6w207O9Z83V/FqdQMbxg084Cl7u8IwBJe3qf8B9Mp0MeumCYdNRPdwp1XTWREMM7shwIwGP3k2Mw/2zGt/f37dFOSxklpq4yoR3aBB1TC13dqn+hTQxW7l+5ZWmlWdsGEQ1nVkJK4tyKC38+dX7NwV++0Y/RL4pTtGW9n6fezrD1o1xD4pt/3aCWg6o75fxwivkzcGdaMsEuP4JRvp5bQxOT2JWQ1+FrcZcGZJ4pKcVFo1HV9c45/9C3dbg/JrRgjBNV9dQ6m/lJnnzOzwN3jPt/fwZdmXzD5nNkm2Xadv7EhI0xNpnzWN1MU0fpOXxm9z0wgbBquCEWY1+CkK7zpnPGYY+FUdWZLwmGRUIWhSE1Luu8ImS4xNcjOnKcAor5Pn+xWSt4+1YUKIIy/SI3SK4nCME37cSFg3mJTi5g+FmRy9B1n9z1fVcP1byw7KufTMcPHiZSNYpsW4fv3OanBjk1w83iefLtvVyamG4KtGPzMa/J2SdvfFNZYGQh3qO/s4bZyU5iWk6/R22pDKQ9z78RpevnwEx/XdfcTjpxCIqkxfUU1cM3j52xKEEEz//bhOSw1v8bXyY2lTh7FemW6G5Cd1+jcf1HTuK6qiJBLHr2m0qDoh3cCpyFhkicqoirobe2qQy06qxURZJE5xJEZOZS3T1ybSam/OqqRqxCBudSdhVWQ+l2LMaPAT3e5eH5Pi5u3BHaMvS0oTKXWb61opTHUwoksybpsZkyzRP8eLxSRz7vIiamIq3x7VZ6fr3Pq8M4TgstUlu4yw74m+ThvTh/XEvYsUvLmNAS5eVXxIU9INQ7CxLsiPpU0MykvabZrhL4maWJxWzcAsSxTaLAfk/RRvc3StssyillZeqPCxqKUVg0QkeUKKm2WBEH5NZ4DLTtQQbAxFKbBZOCrJiURiUeuYVA+/XVPC9y3bFsJssoRDkbHLMn5NRxWCPxRmkmU106rpXJSdusu/l5+DI47REf4neaasjgeLa7gwK4UVwTBV0ThzRvamoM1AWOoP8VVjgLMzk+l1mK5qHAiEEPhjfhoiDQTVIIFYgEA8QLItmYFpA/FavYTVMH9d9Fc+L/6c6wZfx7VDru2wj83Nm5kyfQrXD7meawZfs0/HN0RCBvpArBxGdINmVetggAQ0nZcrG/igromLs1N5oGduh4alRzjCwaA6Guetmibeqmnkvh65nJGxe0OsPhBlbfW+GZ67w2qS8djNWNuKxAtTnSwMtHLpqmJGeV082Se/fcVfkSRyrPsuu78r4oZBbUxFAIv9IZ4vr2d9KIpTkQnpBuOSXNR8XYkbuV2hbkeiqs5nq2oY3T2V3E5KSFe3RLjyP0vYWJdIL3dbTbw59SgG5R1aw/eOjRW80Vbbm2RW8JoUXIpCSDeIGgaFNgsFdiuKBLoAv6ZjlmByelL7Io0Qgj9uruLV8noWfRVCAU4bplKbnsLYJBcuk8yshgCX5aQy0G0nx2rhu+ZWnq+o56OhPRi9Dz3tfHGVwd+t5cbCTO7aS185zRAsCySiWjsuPllkCa9JwbbDM7Wfy77bZ3pYN+jzzWp+k5fGfYdQnfRgoAtBWSTOxlCEjaEoId3gitw0cm0WVgTCzG8KIEhkOeTbLOTbLRTYEiUQb1Y3UhtT6eW0UWi3kGwykWMz08Nhw7OdgyCEoC6uURSO0qhq+OIan9S1sCSwzemY1BZhz7NZiOgG79c28XF9C6ohMMlQaLNSaLdgkiQa4hoLmoOURuL0dFjJtVmIGQb1cY2NoWiH92eu1cz5WSmM9DoZ6XXiNik0qRpPltayJRxDQmJCSqIGfsdsiahu8Hp1IxlWExOS3R2imr64ym0bK5jVsO259+1RfToVYT8UHHGMjvA/SUjTOWt5EdUxFass8UDPXCand+5lqhoqZvnQKYuphsryuuX0Te2L29L59KqwGqYiWEGv5F4djB8hBEtql/D6utdZXLuYsLb7NB67yY5qqBjC4LrB1zF10FRkaecX3vVzrme1bzXPHPsMiqTgNDvxWD24LW6sys+vPhczjJ+U5naEI+wPuhAIwQGp1dkby9qi3NuLeCwPhDlnRRFd7RY+Gtqzg8F1sDGEQCKhbnrv5irsQGhuFVNHFtI1vaPQSCSu8+rCUiqbIwzJT2LatWN26zx9sbqGWWtriWsGa6oDROI6z108lKH5yVjN8k4qc1XROJ/7WthV8Gug287Y5D0/U+c1BtgYiiJJMNLjZKjH0eF5urC5lSkrirgmP32/Df3Xqxu4fWMln85pIlszM3aSlRyvi5K2+riHeuVxZe62vk4R3WD0ovUU2C18MrRHp53c16oauGNTJXNG9qb/z1BHfO7yIhpVjWf7FvCHDeX8viCTszKTD8mxdSG4dFUx3zW3IksJEY3EvyBLILf9HxIZIxNT3FzQVi9YFI4levG1hIgLgWqIDo6EIiXmDHI72rNOdoddlsi3WSmORHdqeWDa7msUJJzp7enhsHJBVgr5NgsV0ThPltUhhCDNYsavaQQ0gz5OGxkWE1FDUBKJ4WtT+7VIEqO8Tno5bRSHY9TEVWxt6ej9XXZyrGZihiDXZuGUHVqdHEiEEJRFE60g3EoiPf5wKeM44hgd4Qj7wJdlX3LH13dwds+zuWrQVWQ6MpEkCc3QiOmJ1C+rYsUkb1sdMYSxkzOhGzqSJHUYj+kxvqn8hqbotrSOYDzIexvfozpUTYothVuG38LkrpMxKzs7ZkvrljK7dDZZziwiWoS3NryFP+ani6cLJ3U5iVR7Kr6wj9llsykLlJFiS+GEwhMo9BSS7kjHY/HgsXhwmV34Ij5W+lbijyV6R0zKn8TwzOG7vS/L6pZx+czLd/mZ1+rl3qPv5eQuJ3fiDh/hCEfYVxY2t3LRqi3EDcG1+RlcX5BBbVzlvBVFOBWFz4b13ElU5lCyKhhmyvIi9JCK8YMPNAM00aFepW+2hwm90vjX18Xcf2Z/emW6uXva6g4NLaOqTkwzyE2yk+qy4LKauPfUfrstpK+NqZy2bBOV0Z37C23l5sJMbuu6a2n5d2ua+MOGjimI/Zw2um+3sv1jIIRFkpg3qg+O/Yx8z2sMcNGqYl78xkevuI1Jx7m5t1s22W2RvSm7cB7+W9XAnZsqubdbNpfkpLLEH+Ld2ibOzkjmtN1EKs9bUURVVOW7XaTRHQqeLavjb8U1JJkUWjQdsyTx+qCudLNbWRYIc0yKG6/ZRGNcY2aDn/jWMgKgSdVY0BRkfSiKQJBuNnNlXkK1tzwaJ2oIejis5Nssu/xO36xu5NaNFVyQlWgVIkiI3wgBBqLt34RjH9QNZjX422s/AfJsZiYle3CZZMySRDeHld5OG70cNpo1nUeKa/gxEOKS7FQuy0nFqSiEdJ2KaJzyaJzySLytVjwJr9lE3DBoiGs0azoVkThF4SjBHSJzmRYTPRw2MqwmvCaFLEvHSG9ZJMYLFT5adR2rJHNWZhJjk1wdtokZRmKRRpIOyULNL5kjjtERDgq+sI9APIAkSRS6C1HkwyN3dH+5fs71/Fj7I3EjjmZomCQTZsVMRNvWIyXJmsQ1g68hz5XHU8ueoiJYQf/U/nT1dsVj8VAeLGdRzSIkJAamDSTdkY5maCysXkhLrGWnYw5KG8S5vc7lg80fsMq3CrvJzrDMYSGkvGoAACAASURBVGQ5snCanSiSQrG/mK8rv8Ysm1GNhBEwMW8i43LH8Xnx56zwrQBAlmRGZY1ictfJTO42+YBGc1b6VhKIBRAIQmqIQCxAUA0yr3weqxpWcd3g67hm8DVHanV+Rn4z6zf8//buPD6q6m78+OfMlsm+kpAEEhIIO6gsCsgmYA11QQGtdeGl3bW1al3a2tbH1rb6evRR+2hbrbaPqNjyK8paXEERZVFAZQ0kBBKyJySZ7LOe3x8zGRIygYRA1u8b7mvgzrn3npnJydzvWQ+ePHjWdArF2NixXDH0CjLTMokLjjvrMeLclNqdXVpjqc7l5qHDJxgcZOayyDDeKD7pfy7WbGL9pAzSQ3q+1fbTqlpu+TrXf5N7SWgwT6UneSd+UBAXGoRScPvfP2d3XhVOt4ehMSHMGXlq0iCTQTFvTDzT02P9v0dcHs0OW12rcTfgrZH+Y24x+U0OVl40vM1Ab5fWPH60iDeLK0kKMhNnMfm7hCUHmUkLCeJPeaVcHhXGS+OG4dawsbyaVaVVVDlPTdYQbDDwh5FDmHoeptvPrm9i1udZ/O6LMjIcoXz78lBeGpfKovj2W1OcHs31X2azu+ZUy3+QQWH3aO5JiecX6YmtAoTCJgdTtx/kntQEfnmWbnQXyr7aBq7cdYSkIDPLJ6RxX1Y+h+tPtZzEmI1cFx/N26WV1Ljajh2dGBbMpMhQzL714QK1zkSbjCwcFMmUyFCsBgOjQq2kWC1M33GI9JCgDrew1bvcfFxVS4TRSIqvK5x8h/VvEhh1I4fbgVIqYDcsrTV7yvZgNVoZFzeuB3J3Zlprsquz2Vm8E4vBwvzU+W1ulioaK9hRvIO1OWvZUbzDvz85LJmbR93MkPAhaDRaa5r/eP+e2udwOyiuL6bWUUt6VDomZWJ1zmpyqnOYmjCVmUNmMit5FhGWCHYW78TmsPmDjpatNBdCraOW2Stnc8voW7h59M1sytuEzWHD7rYTbg4n2OTtkvBp4afsLNkJQEp4CpcnX86Bkwcoqiuixl5DXHAcM5JnYFRG9pbv9bfKjI8bz5KRS8iIyvBf06AMxFhjfANhPWwt2MrWwq3sKdtDdVM1dc46tNYEm4K5dcytLBu3DIfbQaOrkcGhg/3ncbgd1DpqMRvNRFi6dwpNh9vBb7f/lnVH1/H9Cd/np5N+2q3XF6e8fvB1iusDL0TZksPtYHfpbnKqczApE7OGzCIpLMn/vNlgZu7QuUyKnyQ3CV20rqyaHxw43qVzJAWZWT8pg2SrhU+rajlU511va0FsBGm9IChqtqemnt22Bmrdbl7ILyPMaODbibE0t7MYlWJmkJXvvbSTaekxPPOti/3TaAfSct2sQMxKsWJierszPGqt+bdvBspqpxuH9taqZzc0UepwMdG33tr5WmT9bBrcHtI/2ctd+8oY4QjlgcmhbJycwaSIMwddWmu+qm3k/Qobo0KtXBkXwX9lF/FG8UkuCg/mv0cN5aLwEL6qaeDO/ceodrr4YOqoHhvTobVmZUklM6LCSAkOoszu5LdHixgbFsyEsGCezy9la1UdC2Ij+Hna4FaLYlsNhjaD9HfZ6tlf10h6cBBWgyKn0c6nVXVtWnviLSbKHC7enTySiyP65nII4sKTwKgbvbLvFdbkrOH+SfczOWEyG3I3kFWZhUbzdfnX5NV4p4ueN3Qe1wy/BgMGoqxRpEWmdXiNmLPRWtPoasThduDwOHC4HYSYQwKe36M9vJX9Fu8ee5esyixqHKcGyikUccFxKF9nCLd2c7LJW1OZGJrIDRk3kBaZRoOzgbU5a9lT1vFZlxQKq8nqb4UZFjGMiYMm8kXJF/6bOqMy4tbuVseFm8Oxmqz+PAFkxGSwNGMpY2PH4tZu9lfsZ3fpbqYnTmd+6vw2782ZbvLWH13PI58+wusLX+fi+IvbTae1ZnvRdk42nSRzWGbAbm8Djdaa3+34HauOrOKByQ9wx/g7ejpLF5TWmvW566lz1DEzeSYpESlnPaa0vpS44Lhe1bp6zHaM1dmr2XhsY6uxaE2uJpweJ8lhyUQHnarNjgiK4L5J9zEmtnctnlhSX8KBigMX/DpGg5HpSdM71RJb5XRxrDHwDIwddfqA7b4gq76RHx7II7vFoskeYFyYldUTRhAeZKTK5abG5W73HP9XUMFLBeXcm5rAVXFtK3wGW8wkdXIGSvCW30K7k8EWc4e6Hbk9bjbkbuDy5Mu73LqavvkrrjxaQUZTEE+PD2ff5eMYZDm375A1pVX8JqeQcocLhXe8yhCrud2lB3oL7VuKIbKLM8DaPR5K7U7sHs2WKu/6OjOiwvhtRt+e9EFcWBIYdaPPCj/jqS+e4qjtKAZlwKM9xAfHYzQYSQpLYnHGYkrrS3ll3yttBsTPHjKbP878I5FBp1Z/PlJ1hG2F29hbsbdVV67mGt5vpn2TMIt3ppp3j7/LK3tfoaCugHpn62ZnhWJG0gzmp873f6FrrVmds5rdpbvJiM7gokEXMTFuItOTplPnqOOD/A8orS9tdZ6UiBSmJkxlbOzYNjd3J2pP0OD0vialFP4/vn/jGwRpNphJCEnAZDBRUFdAraOWMTFjUEqhtSbXlsunhZ9is9uYljiNuOA4Dpw8QEFtAdX2av84H/AGa9uKtlHWUNYqLyaDCZfHxVXDrmL2kNk0uZr4+MTH7CjewW+m/YYbMm4I+Pn9dPNPOXjyIO8vfT/gBATizNweN7/Y+gvePf4uT8x6gmvSr+mRfGit+bLsS2odtf59Lo+Lk00ncWs3mcMyiQqK4v2899mUvwmtNU6Pk1pHLbWOWm8XURTJYckopThec5x6Zz0RlghGRY/iuhHXsS5nHZtPbPaff3TMaJZkLGFk9Mg2+bHZbaw4tIKdJTsZHDqYxRmLWZqxlEEh52+B0/OtwdnAe8ff46MTH/m7bgJkVWZRba9m2dhlJIae6qYTbY1mzpA5WE09U0P9n9z/8IutHVtnq6sWpCzg2Sue7ZZrdbe8mjx2Fu/Eo0/VwkdZo5gzZI6/xbwr3imv5s79x3lw2GCizEYeyylsMzD9dN9JjuMPGck92nK5JmcNv/nsN8RYY3j88seZkTSjVQ8Gl8fF4crDBBmDiAuOI8oahdvj5m97/8a2om0sSF3AvJR5mA1mrt1VRmJBFRn1in8ND+fYnHFYTJ0P7prZnC5WFFdS63JjNRi4NSmWOEvbgCO/Jp9/Hf4X90++H7PBjN1tp6y+jKER57ae2P6K/azJWcOesj2EmcMYFzuOIGMQdredm0bdRFpk2tlPIkQPkMCom7k8LtbmrCWvNo+r065mVMyoNmlsdhsl9SVoNBWNFewt38vL+14mISSB+ybfx8S4ifxj/z9YeXglAEPDhxJpORUw1ThqyK/NJ9gUzCXxl2AxWPi44GNGx4xmSsIU4oLjsJqsmA1mLEYLBbUFrMlZQ2lD60An3BzOQ1Mf4voR1/fZ7jIuj4sdxTsobygHID0qnTExY1h+YDl/+fovuDzevuKJoYmEmkMpqC3gX9f8i+FR3nUhjtmOsf7oehLDEnly55PcNOomfn7pz3vs9fR1TreTH374Q74q+4qXv/HyGSd0uFD+/NWfefHrF9t93mq0MjRiKNlV2QwKHkSoORSTwUS4JZxwSzgRlgjcHjeF9YV4PB7SItMIs4RR46hhe9F2KpsqMSkTP5vyM+YMmcPWwq2syVlDVmVWu9eMC45j6cil7C3fy7aibfx5/p+ZPWT2hXj5F1R1UzW/2/E7Psj7oM1z4ZZwZiTN6NCMjmNixrBs3LLzlq/m36kX2rvH3+WVfa/w1wV/ZWbyzAt+va7QWrOrdBfvHX+vTWVZIMX1xewu3R3wuXBzODOSvZ9tfEg8i0YsItwcztqjazlafTTgMZcOvjTgd8vdB/N429c17huxEVx7hqnOI01G5sdGBBxk313cHjeL1i7CqIwYlIGc6hwA/+Q2E+Im8Pf9f+eY7RjgrQCcmTzTX3GXEp5Cfu2pCR4cCT8noimdjBo32xPdJJT/gqvTrmZq4lQATjae5JjtGEHGIIZFDuMbqd9oVWF6rh7e8jDvHH+Hv135N6YnTedPe/7E6wdfZ9ONmzp9fqfbyZyVc3BpF5fEX0Kjq5FDJw/h8rjw4GF+ynyemftMl/MsukdFYwUVjRUkhSVhUiZqHbW4dNtFkbX2ji9ucDWQEp5CbHBsD+S26yQw6iP2lu/lwS0P+ruSKRS3j72dO8bd0aZmWWvNvop9bMjdwBclX1BQW8B3J3yX7034XrvjcNweN8X1xd5xPz4x1hhCzV0fUNpb2ew2ahw1GJSBxNBEKpsqWbJuCTHWGJaNXcbxmuO8fvD1VjXiZ+tGJ87OZrdx28bbqGis4McX/5hvjfpWq+6GHu2hpL6k1ex8Z5IemU6IuWPdQlZnr+bRbY9y3fDruGX0Lf79zWO5ahw1vH7wdQ6cPMCtY25l0fBFnera5nQ72Va0jcGhg1tVemitOVJ1JOBrMiojEwdN9LemnKg9QVJoUq/qUtdZNrvNX+kAcLT6KKuOrGJfxb4OHT89aTqPTn/0QmXvgnG4HSxZtwS3drM8czlGg5EQU0iPtZS1ZLPb2JC7gQ1HN2Bz2Gh0NVLRWEGIKXBX6tMFm4PJHJbJwrSFhJhOlbdcWy6rjngnhgEoaSjB5XH5uzsnhyW36t4M3veprLGMKQlTuHb4tf7nlVJclDCLe46cZH5sBPemJvSaKXzbszF3Iz/f+nOemfsMs5Jn8Z/c/1DWUMYx2zE25W/C4XEwLGIY35vwPYKMQRypOsKanDVU2av45aW/5MaRN5Jdnc2+8n18XvI5/68qEnfwlQwrLSM/rpbhdS9js9ta9YYIN4fj8Diwu+1Mip/Eq5mvdqnysqS+hMy3MnFrN7eNuY2Hpz7M1auv5kTtCZ6c9SRXp1/dqfNtK9rGDz/4Ic/Pe565Q+cCpxao/59d/8OKQyt4f+n7vbpV/ELJq8mjorGC1IhUYq2xZ/3ctNaUNpSSX5NPiDnEWxHegUC1eZkNgzKcsTLK4XaQa8ulwdnA6JjR/u9SrTVN7iZWHFrBS1+/RJO7qd1ztGdYxDDmDp3L/JT5xIfEY1RGjAYjQcYg/9IjudW5bMjdwI8v/nGv+c6TwKgPcXlc7K/Yz56yPUxJmMLEQRM7dNzZxs6IUz4r/Ix7Nt/jD4auTr+aByY/QL2znsqmSiYlTOrhHPYPRXVFPLbtMbYXbyfMHNbqxrHOUdepX8Ix1hjuuuguZibPbPfn3Ga38eahN9mQu4Gpg6fylwV/6da1qMTA0XxT2OxXl/2Km0fffMGvu7t0N2aDuc33woGTB3jz0Ju8d/w97G47Y2PHkhaZhgEDlyZeylXDrjov3eCanWw8ybqj66hz1nHd8OtIjUhtk6a5q/bTu55u1aUV4OZRN/Orab86b/npqk35mzhafRSF4qJBFzF18FT/75nS+lL/Z/32orfbdLG22W1kVWYxKWFSq983Lo/LP763pZ3FO7l120rqYpZhdjox2j/l8eFxXD/ien/X9ShrFLHWWDSaf2b9kyc/f5Kn5jzVpeUQntv9HP934P8YFT2KWkctz13xHEvXLwUgc1gmT815qlPne2LnE7yd/Taf3PxJm5+tvJo8rll9zTktCH6hFNYVcrLxZJv9RmVkZPTIVhV39c561uSsYUHKAhJCE8iqzGJj7kbCLeFEW6MxKAMNzgaO1xxv0wsnvyafXFuu//8jokbwyGWPMCVhCgW1BVTZT00i4vK42FKwhbU5a/3jt5uFW8IZEjYEq8mKQRmYFD+JeSnziAqKoryxnDcOvsGH+R/6u7wmhSaRHJ7sDUyUkTBLGFprcqpzyKvJ84/XNigDUUFRNLmaaHI3+Y9fkLKAzLRMSupLcGs3YeYwLMbA3TubK4Kyq7L5ouQLdhbvDNi6lByWTFxwHF+Xf43ZYObNq99kdMzoM35O3UUCIyFOY7PbqHfWYzFaZJriC+yzws/YnL8ZD6fGLISYQkiLTGNQ8KCzBvR2t503D73JrtKzl2+r0cqSkUv4ycU/8Y+9E+JC2Fa4jbxa72Q6kxMmBxxbdj5tzt/Mzz7+GRajhVczX2Vs7FgAdhTv4K4P7yLIGMQ16dewJGNJr5oYo8HZ4J+VE+CPO//IwZMH+eDGD3rFOM6WLSnNUiNSSY1IpcHZwJ6yPWitefaKZ5mfMv8MZ+qYGkcNU9b8hJpBPwMgpPrf/HvG4na7HLs9bm7+z83Y7DbWXr+WYFMwOVU5/PSjn/L9Cd9vd7zs6ddc+NZCLku8jGmJ03h8x+NkDsvkvePvMWvILL4s/ZIt39rS4UmEtNZkvpXJyOiRPD//+YBpfvD+D8i15bJx8UbKG8v944q7y4naExTVFWF321mTsyZg199mMdYYrh9xPbePvZ0ISwR3b7qbncU7sRqtTEuaxicFn2DA0ObmP9wcTmJYYquf4+igaOYMnUNqRCq51bm8mfUmhXWFhFvC21QQgDcwmzNkDjOSZpASkUKDq4GC2gJO1J6gsK4Qp8dJo6uRAxUHWv2MhpvDWTRiEbHBsdjddvJr8impL8GjPbi1m1pHLR7tYXjUcDKiM8iIziDEFML+iv2UN5ZjNVoJNgUTbApmXNw4ZiTNOOf32ma3saN4Bw3OBtzajdvjps5Z5x8bfmXqlSwZueS8TTB2PkhgJITo07TWfF7y+RmnoTYqI5cnX96rfvkK0VUuj4t3j7/Lo589yqjoUVQ0VeDRHv533v9SY6/h/o/vJzE0kVczXz0v41AutOaZP1d8c0WHe0Q0y67KJrsqm4VpC1tVqKzOXs1ze55rM4vpmdw48kbunXQvz+5+llcPvMqG6zcQGxzLpvxNrD+6HpvDhgED05KmsThjMUPDz22CgkDmrrmTrMh7AYioeJGvrn/mjF2Fd5Xs4s737mRm8kyWjV3Grz/9NWWNZYSZw1h/w/o2lXu5tlye3fUs9a566p31HKk8gku7eG3haySGJnLlqisBuCT+Eu4Ydwf3fnQvL3/jZaYlTutQ/g9XHmbp+qU8Nv0xloxcEjDNh3kfcv/H92NSJlzaRZg5jMsSL2NG0gymDp5KmPlUxVVZQxmrc1bzWeFneLQHo8FItDWaCEtEwOB5SNgQvjvhu4SYQlh+cDk7inZQVFfEoJBB3DDiBrKqsng7+21/a0iYOYxbxtzCxYPadpGvd9XzTu47bCnYgsVoISM6g73le3lg8gMcPHmQj058xOKMxdx98d0EGYP86xBajBaig6LPWrHX6Gpk+YHlFNcXMz5uvHfB+BbdTkfFjCI+JP6s73lVUxU7S3Zid9mxGC3MSp4llX9dcKbAqPvCdyGEOEdKKS5LvKynsyHEOfmq7CuWH1je6eM03rGkZQ1ljIkZw4tXvkhJfQm3v3M7N2/wdt1LDE3kxQUv9omgCLyzr5qUiU35mzocGB2uPMzvd/zev4h1vaueG0feCHgHjT/5+ZOkRqR2eGxoXk0er+x7hfGx41l1ZBXzU+b7Z2a7dvi1XDv82nN4ZR03ITKB5mlakoPMZx0/OWXwFB6e+jAvfPkCnxZ+SrglnGfnPsvDnzzM07ue5slZT/rT5tpy+c6738GlXYyIGkGEJYI7x9/JrCGzuCT+EsA7g2ZWZRbzU+YzLXEaQcYgPj7xMdMSp1HdVM363PUcrjzszV9YMotGLGq1xtmWgi0AzBk6p908zx06l1vH3IpJmRgaPpRDlYfYVrSNTfmbAqa3GCzMGjKLUHMoTo+TqqaqgOM1tdZsK9rG6pzVWI1WquxVTIqfxLSkaWRVZvH7nb/HpEzcMvoW5qXMQ6EYFTPKP94lkMxhmeTV5PGnPX/ig7wPuH/y/e0uNzHYNDjg/vYEm4LPS3fCaGt0l7pSio6TwEgIIYS4gOqd9RyvOX5Ox46OGc0jlz7C7KGzMRvMRAZFsvKalRw8eRCAyxIv61PdgSODIpk6eCqb8zdz36T7zlrj/knBJzy05SFCzaE8OOVBPin4hKe/eJrLky4nKSyJ5798HofHwVNzngo41ikQu9vOTetv4sEtD+LSLm4dc+v5eGkddnFcBqvK6tGGUMZFdWxygtvH3s7CtIX8M+ufzBs6j3Fx4/juhO/y4tcv+sdHARTUFWAxWHgt8zXSo9IDnuuKoVdwuPIw81PmE2IOYVriNN468hafFX5GUV0RDo+D+OB4DAYDpfWl/PXrv5IQmkCdow6H24HT42RC3IQz/tyZDCZ+cWnr6fO11uTV5PFl2ZetJjwKNgUze8jsDgf3J2pO8MJXL1DnrOOui+5ifNx4//mPVB0hzBJGcljn1jFKjUjlmbnPYLPb+kwlg7gwpCudEEIIIbrNyqyV/H7n71mYtpCtBVupc9adMf2YmDG8MP8F4kPiKawrZPHaxaRHpjM5YTKvHXyNZWOX8eDUBzuVh33l+7jtndsYFT2Kldes7NbJi7YXbWfpvnLc5mSeiD/AnePPbdr6JlcTT+96utU09VaTlbsvvpv0yMBBEXi7d2VXZftb7L4u/5oVB1eg0QwKGcSi4Yv8M24W1RWxJmcNhXWFRFgi/APy56fM73RXSCF6CxljJIQQQoheoayhjKtWXYXJYOLK1CtJDm+/dj/UFMpNo25q1d1s/dH1PL7jcZxuJ2lRaSzPXH7GrlLt2Va0jaTQJIZFDjuXl3HObHYbEz78Ny7zUNZNjGXK4ID3Z0KIC0QCIyGEEEL0Grm2XOKC44iwRPR0VnrE3NW3UdpUz66lb/TrtQSF6I1k8gUhhBBC9Bpn6uo1EMwcNIzs6mwJioToZSQwEkIIIYToRr+e9utWExAIIXoHCYyEEEIIIbqR1WTFirWnsyGEOE3PLzsthBBCCCGEED1MAiMhhBBCCCHEgCeBkRBCCCGEEGLAk8BICCGEEEIIMeBJYCSEEEIIIYQY8CQwEkIIIYQQQgx4EhgJIYQQQgghBjwJjIQQQgghhBADngRGQgghhBBCiAFPAiMhhBBCCCHEgKe01j2dh/NCKVUO5PV0PnzigIqezoQQ4oyknArRd0n5FaLv6S3lNlVrPSjQE/0mMOpNlFK7tNZTejofQoj2STkVou+S8itE39MXyq10pRNCCCGEEEIMeBIYCSGEEEIIIQY8CYwujL/1dAaEEGcl5VSIvkvKrxB9T68vtzLGSAghhBBCCDHgSYuREEIIIYQQYsCTwEgIIYQQQggx4PXLwEgptVQp9ZZSKk8p1aiUOqyUekIpFX5aumil1CtKqQqlVL1S6kOl1IQA5/ujUup9pdRJpZRWSt3RznVjlVJ/Ukrl+q57TCn1glIq4FzpAY63KqWeUkoV+47frpSaHSDdz5RS633ptFLqsY69M0L0HgOgnB735eP07foOvkVC9FoDoPzGKaX+oZQq96XbqZS6qoNvjxC9Ug+W2y6Vp+68P+6XgRHwIOAGHgEygb8CdwEfKKUMAEopBazzPX8PsAQwAx8ppYacdr57gGBgQ3sXbHG+W4CngIW+x28D63zPn83fge8DjwLXAMXAe0qpi09L930gHljTgXMK0Vv193IK8B4w/bRtSweuIURv12/Lr1IqCNjsy/fDwGLgBLBBKTW3A9cQorfqiXJ7PspT990fa6373QYMCrBvGaCBeb7/L/L9/4oWaSKBSuB/TzvW4Hsc4TvmjgDnH+l77gen7f+Rb/+os+T5Il+6O1vsMwGHgXXt5MfkO+axnn7PZZOts9sAKKfHgTd6+n2WTbYLsfXn8gvc5ks3t8U+BewFPu/p91422c5166Fy26Xy1N33x/2yxUhrXR5g9xe+x2Tf43VAkdb6oxbH2YD1eH8oWp7P04HLWnyPNaftr/Y9nu29vg5wAitbXNcF/Au4yhdxdyY/QvRq/b2cCtGf9fPyOw1opEXrrvbebb0PTFVKJSNEH9RD5bar5alb74/7ZWDUjjm+x0O+x3HA/gDpDgApSqmwTp7/APAJ8Bul1BSlVJhS6lK8zX7vaK0PnflwxgHHtNYNAc5rwRuNC9Hf9bdyeq1SqkEpZVdK7ZDxRaKf6y/l1w04fTdvLdl9j+M7mW8herMLXW67Wp669f54QARGvmj0d8CHWutdvt0xQFWA5JW+x+jOXMP3gX8Tb9PeF0AtsBPIxds/82zOlp+YzuRHiL6mH5bT9Xj7X18F3Ao0AauVUrd1Js9C9AX9rPweBiKUUmNOSzf9tHRC9GndUW7pennq1vvjfh8Y+SLbtYALuLPlU3j7H7Y5pAuXexlvk+GP8EbgPwKmAKtaDGozKqVMLbbmz+BC5EeIPqE/llOt9T1a69e01lu11quA+cAu4Iku5F2IXqcflt83gXJguVJqgm9GrUeA5lmwpDu76PO6sdx2qDz1lvvjfh0YKaWseGfWSAeu0loXtHi6ksBRZnMkHCg6PdO1rsY7M87tWuuXtNafaK1fAm7HW8N1rS/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\n",
          "text/plain": "<Figure size 1008x360 with 1 Axes>"
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       "layout": "IPY_MODEL_6679bca2c8b54fd2a1f5dc255ad5bca0",
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       "style": "IPY_MODEL_61025978f9cd46f685d2394742e31625"
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     "59ce7106f47e48f9af2c13fa07e66d42": {
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      "model_module_version": "1.0.0",
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       "layout": "IPY_MODEL_8cae6fcc3ff849bc9bf78d1b54c13254",
       "outputs": [
        {
         "ename": "AttributeError",
         "evalue": "'float' object has no attribute 'value'",
         "output_type": "error",
         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-3-75e579288c63>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(sza)\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbands\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m         \u001b[0mp1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 24\u001b[0;31m         \u001b[0mlines\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_ydata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msza\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     25\u001b[0m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mAttributeError\u001b[0m: 'float' object has no attribute 'value'"
         ]
        }
       ]
      }
     },
     "5aa76acde1ed4ca3b746463b3b901137": {
      "model_module": "@jupyter-widgets/controls",
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      "state": {
       "description_width": ""
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      "model_module": "@jupyter-widgets/base",
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      "model_name": "LayoutModel",
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      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "solar_zenith_angle",
       "layout": "IPY_MODEL_066d841730434203b905210d835fdd20",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_010dc6621d824b05ab1d2021492c5c4a",
       "value": 84.7984
      }
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     "5c5166abb22b47fabe371b5b67e4d222": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
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      }
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     "5cc747249edb490a80ab17177c4e0e90": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "5dabd7bfd1f84fd88a224ebb4a2dc72c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
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     "5e2ad6a3dc3d436795151146ebaf4262": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_e0bd3e604872451296e029d7215a8ba6",
        "IPY_MODEL_92e82e7463624af29d468b556cb54b8a"
       ],
       "layout": "IPY_MODEL_b193aa8cb6ee4e9db88f3700743411bd"
      }
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     "5ec67266a46747ce9226103e7b168c17": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "603814f19cb540f587801761bdecf168": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_9f15670a4f724c17ac8e0a3a3b49b280",
       "outputs": [
        {
         "data": {
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       "description_width": ""
      }
     },
     "6b6023c471904f6bbc1f8d431bfcdee9": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6b604ac811a8419c809591ab8e9d5a95": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "6eb666fc506b4fcba5f64f198205efea": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "6f5cf07884004ab1a2b70800ca72f9b1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "sza",
       "layout": "IPY_MODEL_833d99b12e14440489d4587c8bd3292d",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_0fc39f6caf3044829698a2c972c24282",
       "value": 45
      }
     },
     "6fb8b71b34e943fdbf227610a7f78dd2": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "70b6fc1db50147528110ac4bdb53c9a3": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "70c41e6faa4e49959a003533a626c5a6": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_6157ea877cfe4848bc13319c7f3ff17a",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 1008x360 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "7141aed11f7441d8963abc41b4014ad3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "sza",
       "layout": "IPY_MODEL_c6b90307101045229e4709729035b60e",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_6b4ca0bb984746cb99bc6ae2428226c1",
       "value": 45
      }
     },
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      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
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      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
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     "894a7e4c2e98452a9beb95541dbd48a2": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "sza",
       "layout": "IPY_MODEL_b79474a7a33143d99c4fcaaad8c4c4c5",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_c11a1a8934434c59b52c8d0b8c473180",
       "value": 74.63711
      }
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     "8971ec20a8294fc5b9f47e4eb35931c1": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_7141aed11f7441d8963abc41b4014ad3",
        "IPY_MODEL_1fd16379f9c445f99d6490b20c552ba1"
       ],
       "layout": "IPY_MODEL_512fb9587a4e4e12b62237a30829aa71"
      }
     },
     "8a33ea87c3ba43d98a57c9a5b5d0baab": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_32a953218a174db18d3c93dd8d0f1e2d",
       "outputs": [
        {
         "ename": "KeyError",
         "evalue": "'0.5'",
         "output_type": "error",
         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2656\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2657\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2658\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;31mKeyError\u001b[0m: '0.5'",
          "\nDuring handling of the above exception, another exception occurred:\n",
          "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-9-8aeaa0128942>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(solar_zenith_angle, optical_depth)\u001b[0m\n\u001b[1;32m     27\u001b[0m         \u001b[0mbsa\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mblack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msolar_zenith_angle\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m         \u001b[0mwsa\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwhite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 29\u001b[0;31m         \u001b[0mlu\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlookup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpx\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msolar_zenith_angle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moptical_depth\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     30\u001b[0m         \u001b[0malb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mblue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbsa\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwsa\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlu\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     31\u001b[0m         \u001b[0mlines\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_ydata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0malb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-9-8aeaa0128942>\u001b[0m in \u001b[0;36mlookup\u001b[0;34m(band, sza, sod)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mlookup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mband\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msza\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.02\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m     \u001b[0;34m\"\"\" \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m     \u001b[0mluc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mband\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlookup\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msod\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m     \u001b[0mlfunc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mluc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0;32mreturn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mxr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply_ufunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mround\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mabs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msza\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   2925\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnlevels\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2926\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_getitem_multilevel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2927\u001b[0;31m             \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2928\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mis_integer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2929\u001b[0m                 \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mindexer\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m   2657\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2658\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2659\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_maybe_cast_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2660\u001b[0m         \u001b[0mindexer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_indexer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtolerance\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtolerance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2661\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mndim\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mindexer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
          "\u001b[0;31mKeyError\u001b[0m: '0.5'"
         ]
        }
       ]
      }
     },
     "8b7df44f2223454a99e0bfe0b986a7bf": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8cae6fcc3ff849bc9bf78d1b54c13254": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8f2136c5f5044514b977b68a7a896f9b": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "8f253d0a94814299a061e3f454e8af2a": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "90a76b6c3c794fcda595b792daf96b8b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "917f14d0b4654642919358fa5c358ce7": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_49cc679e6f684c5f8d125be9b9f22fe9",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 1008x288 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "91bec6fdbbba425ba0d2172f0e7be4e9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "92cd034eb88049bb943caf34f9e946f9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "SliderStyleModel",
      "state": {
       "description_width": ""
      }
     },
     "92e82e7463624af29d468b556cb54b8a": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_34cef2e77a3945aab950831cf7b65e3f",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 1008x360 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
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       "style": "IPY_MODEL_6eb666fc506b4fcba5f64f198205efea",
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     "93e640d515ef491293f72e2b295cccd2": {
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      "state": {
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      }
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      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
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        "widget-interact"
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       "children": [
        "IPY_MODEL_1c5b837dc2bb4f42bcbbaba8c100d496",
        "IPY_MODEL_f697c152aa804215a27e2833159dfbb2",
        "IPY_MODEL_3c1572d6664a4d62a91303e27722f2e2"
       ],
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      }
     },
     "950bf8686d59404e95f8cc665ed94362": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "VBoxModel",
      "state": {
       "_dom_classes": [
        "widget-interact"
       ],
       "children": [
        "IPY_MODEL_d1ab39c415154fd7adf1e9494860d3c7",
        "IPY_MODEL_2b6a0061f22a4638a68ec6c19fe51072"
       ],
       "layout": "IPY_MODEL_21e36c3a639d44a38b16a2fbe1834c5e"
      }
     },
     "95973928c8fc4011a36a075fd81ea80c": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "95f19375593843349f6ba3426cdb6aae": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "960460e9e3df4b97a3e612c707c5a511": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "9637f50ac2bd4ac4990d1b4d1a2ff9f6": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_4b6655a753684862a164b2a00b8e2e70",
       "outputs": [
        {
         "data": {
          "image/png": 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\n",
          "text/plain": "<Figure size 1008x360 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "966e057257834c5f977eacb0b45eaab0": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "sza",
       "layout": "IPY_MODEL_5dabd7bfd1f84fd88a224ebb4a2dc72c",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_7a2f7498fcef41f1b39d3244975b49f4",
       "value": 16.80243
      }
     },
     "97a460fcaa024890a13bc29334eb3ce9": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "layout": "IPY_MODEL_80bbd554b367415aa44f579d70274d9c",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_c8fce8434fc6493fb16c55e0e2fe60dd",
       "value": 45
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\n",
          "text/plain": "<Figure size 1008x360 with 1 Axes>"
         },
         "metadata": {
          "needs_background": "light"
         },
         "output_type": "display_data"
        }
       ]
      }
     },
     "a1bcb36becf0499e957b72d5c3fd18f6": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a20f0ec53ed844e18bb1773ae8a5599b": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "solar_zenith_angle",
       "layout": "IPY_MODEL_cf76bf80b30f4bf18c75b5d354b7f93b",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_7f26790f62034140a42d732ada22e716",
       "value": 45
      }
     },
     "a21b9fd591c440fb83cc576b7fd1efa3": {
      "model_module": "@jupyter-widgets/controls",
      "model_module_version": "1.4.0",
      "model_name": "FloatSliderModel",
      "state": {
       "description": "sza",
       "layout": "IPY_MODEL_150fbfebef974cc699e48a9c062afa70",
       "max": 90,
       "step": 1e-05,
       "style": "IPY_MODEL_e089f0d3446d44ed8b6fcf6aacf0fffc",
       "value": 9.97983
      }
     },
     "a23c5a7ba04549bebae6761f36cf37ec": {
      "model_module": "@jupyter-widgets/base",
      "model_module_version": "1.1.0",
      "model_name": "LayoutModel",
      "state": {}
     },
     "a2866df1bfd9442ebf34e244727da48d": {
      "model_module": "@jupyter-widgets/output",
      "model_module_version": "1.0.0",
      "model_name": "OutputModel",
      "state": {
       "layout": "IPY_MODEL_0e2461f811f0410197ffddecf41ba9d6",
       "outputs": [
        {
         "ename": "NameError",
         "evalue": "name 'time' is not defined",
         "output_type": "error",
         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-3-4a93a3075f83>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(sza)\u001b[0m\n\u001b[1;32m      5\u001b[0m     \u001b[0mfig\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m14\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m     \u001b[0max\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madd_subplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m     \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mw\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbands\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m         bsa = black(\n",
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          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-6-1763370306d4>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(sza)\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbands\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m         \u001b[0mp1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 24\u001b[0;31m         \u001b[0mlines\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_ydata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msza\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     25\u001b[0m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mAttributeError\u001b[0m: 'float' object has no attribute 'value'"
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          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-23-11a3bb364c72>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(sza)\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;34m\"\"\" \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbands\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 24\u001b[0;31m         lines[b].set_ydata(black(\n\u001b[0m\u001b[1;32m     25\u001b[0m             \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m             \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'set_ydata'"
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      "model_module": "@jupyter-widgets/output",
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        {
         "ename": "AttributeError",
         "evalue": "'float' object has no attribute 'value'",
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         "traceback": [
          "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
          "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
          "\u001b[0;32m~/Python/anaconda3/envs/jack/lib/python3.7/site-packages/ipywidgets/widgets/interaction.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m    249\u001b[0m                     \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_interact_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    250\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mwidget\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_kwarg\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 251\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    252\u001b[0m                 \u001b[0mshow_inline_matplotlib_plots\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    253\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mauto_display\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
          "\u001b[0;32m<ipython-input-3-1763370306d4>\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(sza)\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mbands\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m         \u001b[0mp1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpar\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 24\u001b[0;31m         \u001b[0mlines\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_ydata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mblack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msza\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     25\u001b[0m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     26\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
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