InteractivePlots.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e5ad523a",
   "metadata": {},
   "source": [
    "# Sample-Oriented Task-Driven Visualizations: \n",
    "## Allowing Users to Make Better, More Confident Decisions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4082d2b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Import libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy.stats as st\n",
    "import matplotlib.colors as col\n",
    "import matplotlib.cm as cm\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "94d8cb69",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "#Enable interactive plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "22b108cd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the data\n",
    "# Use the following data for this assignment:\n",
    "np.random.seed(12345)\n",
    "\n",
    "df = pd.DataFrame([\n",
    "    np.random.normal(32000, 200000, 3650),\n",
    "    np.random.normal(43000, 100000, 3650),\n",
    "    np.random.normal(43500, 140000, 3650),\n",
    "    np.random.normal(48000, 70000, 3650)\n",
    "],\n",
    "                  index=[1992, 1993, 1994, 1995])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e553898c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3650"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the means and standard deviations\n",
    "df_mean = df.mean(axis = 1)\n",
    "df_std = df.std(axis = 1)\n",
    "n = df.shape[1]\n",
    "n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "48381d14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1992    6508.778367\n",
       "1993    3192.195655\n",
       "1994    4553.818608\n",
       "1995    2263.810146\n",
       "dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Computer the errorbar for the plots|\n",
    "ci = df_std/np.sqrt(n)*st.norm.ppf(1-0.05/2)\n",
    "ci"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d74c05cf",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* 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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * 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",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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BAgQIECAAAECBAgQaEVAANgKu5P6BaA5QIAAAQIECBAgQIAAAQIECBAoIyAALOPsLFMEBICmBAECBAgQIECAAAECBAgQIECgjIAAsIyzswgAzQECBAgQIECAAAECBAgQIECAQCsCAsBW2J3ULwDNAQIECBAgQIAAAQIECBAgQIBAGQEBYBlnZ5kiIAA0JQgQIECAAAECBAgQIECAAAECZQR6HwAut9xyI0nusMMO6Uc/+tES97388svT2WefnW688cb0pz/9Ka255pppm222SQceeGB64xvfONJ5Hn/88XT66aeniy66KN1zzz3p73//e9pggw3SLrvskj7wgQ+kDTfccKR27rzzzvSFL3whXXnllen+++9Pc+fOTZtuumnae++903777ZdWWGGFkdq54IIL0rnnnptuu+229Je//CWts846afvtt0+HHHJIevWrXz1SG+PsJAAcR80xBAgQIECAAAECBAgQIECAAIFlFxAA/l+zJQWACxYsSAcddFAV/s205RDwS1/6UlpS4HjvvfdWQd9dd901bTPPe97z0vnnn5923nnnJVbyy1/+chXQ/e1vf5t2vxzcXXLJJWn11VefsZ0nn3wyveMd76j2m26bM2dOOu6449Kxxx677LNqhCMEgCMg2YUAAQIECBAgQIAAAQIECBAg0IDAYALA973vfenggw+ekWzllVdOG2200bSff/SjH00nnnhi9dkWW2yRjj766PSiF70o5UDvlFNOSbfeemv1Wd7vU5/61LRtzJs3L2299dbpl7/8ZfX5AQcckPbYY4+04oorpquvvjqddNJJKe+z0korpeuvvz697GUvm7ad73//+1VAOH/+/LT22mtX53zVq16V/vznP6dzzjknXXzxxdVxr3nNa6p2c5A33ZZ/KZjDxrzttNNO6bDDDkvrrbdeuv3226ux5rHlLbe5//77NzDVFm1CANg4qQYJECBAgAABAgQIECBAgAABAtMKDCYA/PjHP179om1Zt3ybbr619umnn05bbbVVuvbaa6vQbmLLt/TmXw/efPPN1W23OeDL4eDULZ/7+OOPr/5zDg2POuqoRXbJoV8O7fJ5ciD3wx/+cLE28me5L7lPz33uc9Mtt9yy2LnyLwPPOOOM6tivfvWraZ999lmsnWuuuSbtuOOO1X/fbbfd0re//e20/PLLL9zvoYceSltuuWW677770mqrrZZ+/etfp1VXXXVZ6Za4vwCwUU6NESBAgAABAgQIECBAgAABAgRmFBAALmVyTA7Uckg33XPxbrjhhrTttttWLR166KHVs/kmb0899VRaa6210sMPP1wFeHfccce0v8zLtxmfddZZ1aE5UMwh3OQtPzfwne98Z/Wf8i8GP/ShDy3W+xxIPv/5z6+e5/fSl760+kXf1C3fhnzZZZdVod9vf/vbav+pW3424J577ln958985jPpyCOPbHQZCQAb5dQYAQIECBAgQIAAAQIECBAgQGBGAQHgEiZHfvZffkFHfsnGS17ykvSLX/xixr3z5/nZfjlMy7+cm/wswB/84Afp9a9/fXXspz/96fTBD35w2nYmB4kf+chH0gknnLDIfpNv233ggQeqF3ZMt00OEu++++608cYbL9wt32a8xhprVM8PzC8u+d73vjdtG/nlJPklJ4888kjabrvt0k9+8pNGl5EAsFFOjREgQIAAAQIECBAgQIAAAQIEBIDj3AKcb32duJ33ve99b/WSj5m2/PnES0LycZOfJ/ixj30sffKTn6wOnelXhPmzfItvvtX2scceq24HzrfqTt7yG4J/97vfpU022WThswSn6883vvGNtNdee1UffeUrX0n77rvvwt3yrcWve93rqn+f6VeEEzu/4Q1vSFdccUV1a3P+ZeGznvWsxpaSALAxSg0RIECAAAECBAgQIECAAAECBJYoMJhfAG622WZVwJZ/nZcDrfzrufzLtve85z3VM/em2y699NK06667Vh99/vOfT4cffviMmPnzI444ovo8Hzf5Tb75bbvf/OY3q8/yrblLep7ey1/+8nTbbbdVv7774x//uPB8+Zd7+bl/+VeJb3nLW9J3vvOdGfuSX0ryyle+svo8P2swP3NwYjv99NOr25Tzlp/999a3vnXGdvKLQU477bTq8zvvvDNlw6Y2AWBTktohQIAAAQIECBAgQIAAAQIECCxZYDAB4JIYcgh23nnnpec973mL7JZ/8ZffHpy3/Py9t7/97TM2kwO+HPTlLR+XfxE4seXnBv70pz9N+U3DOchb0pYDxxwg5u3JJ59Mz3nOc6p/zi8Xyc8PzFt+LuEXv/jFGZvJL/HIAWLe8puG8y8CJ7b83MCTTz65+tebbrqperHJTFt+9t/Ey0ouv/zylH8ROOqWA74lbfkW5m222abaJf+qcbrnEI56LvsRIECAAAECBAgQIECgLwKf+9znUv5f01v+wcrEj1aablt7BAh0X6D3AWAO3d785jdXt73m5/TNnTs3/elPf6pur81B3b/8y79UVcpv8s3P6pt8m+upp56ajj766Orz/Ky8/My8mbb8+cSv/qa+NGPzzTdPP//5z9Paa6+dHnzwwSXOit133z1deOGF1T45yFt99dWrf85h3URglp8hmJ8lONP2xBNPpJVWWqn6OAeK3/3udxfuOvmlJvmZhtlkpu3MM89MBx98cPVxDjjf9ra3jTyjJz8DcWkHCQCXJuRzAgQIECBAgAABAgSGInDcccel448/vvHhjvNYrMY7oUECBFoT6H0AmN+8O9Mtt3/4wx/Sm970ppRvmc3bf/2v/zV94AMfWFiM/Ny+/Py+vF111VXpta997YyFmvxsvXzcMcccs3Df/BzB/FzA/EKRfAvykrZ99tknfe1rX6t2mRyM/fjHP66eC5i3Y489Nn3iE5+YsZn58+dXb/jNWw4+r7zyyoX77rffftVzAfN27733phe+8IUztpP3y/vnLffpXe9618gTVQA4MpUdCRAgQIAAAQIECBAgsFBgab8AzNd7+Y6qydu6666b5syZs0RFvwA0yQgMW6D3AeDSypuDuXxrbX7r7b/7d/8u/epXv1p4iF8Ajv8LQLcAL23m+ZwAAQIECBAgQIAAAQLLLpDvaFtrrbUWOTA/P37iMVDL3qIjCBAYgsDgA8Bc5MnP3bv//vvTeuutV9XeMwDHfwbg0haPl4AsTcjnBAgQIECAAAECBAgQWFxAAGhWECAwjoAAMKXqOX/51355u/HGG9PWW29d/fMll1ySdtttt+qf67wFOL885Fvf+lbVTp23AK+yyipVG3XeApxfHvL+97+/asdbgMdZMo4hQIAAAQIECBAgQIBAewICwPbsnZlAZAEBYErVm27zizumBoD59uD8/L685bf65l8EzrTlz88+++zq43zcRhtttHDX/BzB/FzAvF1//fUpvxV4uu3pp5+unlf42GOPVc/7yy8qmbxtuOGG1XMBN9lkk+qtwDNt+a2/e+21V/Vxfo7fvvvuu3DXyc8qPOmkk1J+K/BMW37r7xVXXJFWWGGFqk/PfvazG5vrfgHYGKWGCBAgQIAAAQIECBAYkIAAcEDFNlQCDQoIAP//N+zusssu6bLLLqtYczC1/vrrV/+8YMGC9PznPz/9/ve/r96Wm9+aO9OWnyOYQ7l8bA7pJr8EI4doOUzLW357b36L73TbDTfckLbddtvqow9/+MPpxBNPXGS3HOrlcC9v+aGv66yzzrTtHHTQQemss86qPrvrrrvSi1/84oX7Pfroo2mNNdaonnmY32qc31483ZY/z8+QeOSRR6o+XXfddQ1Ou391zi9FyZu3ADdKqzECBAgQIECAAAECBHosIADscXENjcAsCgw+AMy/1svh3lNPPVW9ETe/GXfydvDBB6czzzyz+k8z/XpvcnCX9z/99NMXaSOHafkhrX/961+rF47ceeediwSEEztPDu4m34o88fmFF16Ydt999+pfZ/r13uOPP16FlvlW480226w619Rt5513roK//Mu+3/zmN9X+U7cLLrgg7bnnntV/PuWUU6pfSTa5CQCb1NQWAQIECBAgQIAAAQJDERAADqXSxkmgWYFeB4Df/e5305ve9KYq6Jpu+8Mf/lB9fuutt1Yff/azn0351eiTt7vvvjttvvnmKd+eu9VWW6Vrr702rbjiigt3eeKJJ6rbdW+++ebqPD//+c/TxhtvvNjpJt8GPF2glsPF3E4+zw477JB+9KMfLdZGDilzgJhDyuc+97nplltuWXiL8sTOhxxySDrjjDOqfz333HPTe97znsXamXwb8Jvf/OZ08cUXp+WXX37hfg899FDacsst03333VfdkpxD0tVWW63RmScAbJRTYwQIECBAgAABAgQIDERAADiQQhsmgYYFeh0AvuAFL6h+2fe2t72tuo01/3sO73LAlQO2/Ey/f/mXf6lI/+mf/ildeeWV6TnPec5ixPl23Hzrbt622GKL6hbe/GzAHMSdfPLJCwPE6W7bnWgs33qbA8QcKObtwAMPTHvssUfVn6uvvrq63XfevHnVv+fbbV/xildMW+p8q3J+Mcn8+fPT2muvnY455pi0zTbbVL/4O+eccxa+bCSPJ49xcrA3ucH86778K7+87bTTTunwww+v3n58++23pxNOOGHhLyGzUX6+YdObALBpUe0RIECAAAECBAgQIDAEAQHgEKpsjASaF+h9APi///f/XqpaDgj/23/7b9Wv3abbcth2wAEHVC/UmGnbb7/9qpeAzJkzZ8Z97rnnnpRvv/3Vr3417T75V31f//rX06677rrEPueg79BDD62e4zfdlgPBSy+9tHrW30xb/uVifjvxxLMPp+6Xx3Hsscem4447bql+4+wgABxHzTEECBAgQIAAAQIECAxdQAA49Blg/ATGE+h1AJjfopv/l2+vzbex5l/+5ZdazJ07t3oBxXbbbZfe/e53L3zxxtIIc1iWQ76bbrqpaisHbFtvvXX1C7l8K/EoW36bbn5G4EUXXZRyIJhDvNyXHAwedthh6R/+4R9GaSbdcccd6bTTTktXXXVV9ZKSlVdeubo9eO+9907777//jLc9T238/PPPT+edd1762c9+lh5++OHqV4Xbb799FTBOvJBkpA4t404CwGUEszsBAgQIECBAgAABAgRSSgJA04AAgXEEeh0AjgPimDICAsAyzs5CgAABAgQIECBAgEC/BASA/aqn0RAoJSAALCXtPIsICABNCAIECBAgQIAAAQIECCy7gABw2c0cQYBASgJAs6AVAQFgK+xOSoAAAQIECBAgQIBAcAEBYPAC6j6BlgQEgC3BD/20AsChzwDjJ0CAAAECBAgQIEBgHAEB4DhqjiFAQABoDrQiIABshd1JCRAgQIAAAQIECBAILiAADF5A3SfQkoAAsCX4oZ9WADj0GWD8BAgQIECAAAECBAiMIyAAHEfNMQQICADNgVYEBICtsDspAQIECBAgQIAAAQLBBQSAwQuo+wRaEhAAtgQ/9NMKAIc+A4yfAAECBAgQIECAAIFxBASA46g5hgABAaA50IqAALAVdiclQIAAAQIECBAgQCC4gAAweAF1n0BLAgLAluCHfloB4NBngPETIECAAAECBAgQIDCOgABwHDXHECAgADQHWhEQALbC7qQECBAgQIAAAQIECAQXEAAGL6DuE2hJQADYEvzQTysAHPoMMH4CBAgQIECAAAECBMYREACOo+YYAgQEgOZAKwICwFbYnZQAAQIECBAgQIAAgeACAsDgBdR9Ai0JCABbgh/6aQWAQ58Bxk+AAAECBAgQIECAwDgCAsBx1BxDgIAA0BxoRUAA2Aq7kxIgQIAAAQIECBAgEFxAABi8gLpPoCUBAWBL8EM/rQBw6DPA+AkQIECAAAECBAgQGEdAADiOmmMIEBAAmgOtCAgAW2F3UgIECBAgQIAAAQIEggsIAIMXUPcJtCQgAGwJfuinFQAOfQYYPwECBAgQIECAAAEC4wgIAMdRcwwBAgJAc6AVAQFgK+xOSoAAAQIECBAgQIBAcAGC8QqzAAAgAElEQVQBYPAC6j6BlgQEgC3BD/20AsChzwDjJ0CAAAECBAgQ6IPAVlttlR588ME+DCXMGJ555pnFzNdZZ520/PLLhxlDXzqa3W+++ea+DMc4ei4gAOx5gbs6PAFgVyujXwQIECBAgAABAgRGF3j+85+f7r///tEPsCeBHgmsv/76KV/b2ghEEBAARqhSD/soAOxhUQ2JAAECBAgQIEBgcAITAeByyy2X5s6dO7jxtzHg+fPnp8cee2yRU6+88sppzpw5bXRnkOecN29eWrBgQRIADrL8YQctAAxbutgdFwDGrp/eEyBAgAABAgQIEMgCEwHgKqusko488kgoBQRy+Hfqqacucqajjjoq5RDQVkbgs5/9bHr00UcFgGW4naUhAQFgQ5CaWTYBAeCyedmbAAECBAgQIECAQBcFBIDlqyIALG8+9YwCwPZroAfLLiAAXHYzRzQgIABsAFETBAgQIECAAAECBFoWEACWL4AAsLy5ALB9cz2oLyAArG+ohTEEBIBjoDmEAAECBAgQIECAQMcEBIDlCyIALG8uAGzfXA/qCwgA6xtqYQwBAeAYaA4hQIAAAQIECBAg0DEBAWD5gggAy5sLANs314P6AgLA+oZaGENAADgGmkMIECBAgAABAgQIdExAAFi+IALA8uYCwPbN9aC+gACwvqEWxhAQAI6B5hACBAgQIECAAAECHRMQAJYviACwvLkAsH1zPagvIACsb6iFMQQEgGOgOYQAAQIECBAgQIBAxwQEgOULIgAsby4AbN9cD+oLCADrG2phDAEB4BhoDiFAgAABAgQIECDQMQEBYPmCCADLmwsA2zfXg/oCAsD6hloYQ0AAOAaaQwgQIECAAAECBAh0TEAAWL4gAsDy5gLA9s31oL6AALC+oRbGEBAAjoHmEAIECBAgQIAAAQIdExAAli+IALC8uQCwfXM9qC8gAKxvqIUxBASAY6A5hAABAgQIECBAgEDHBASA5QsiACxvLgBs31wP6gsIAOsbamEMAQHgGGgOIUCAAAECBAgQINAxAQFg+YIIAMubCwDbN9eD+gICwPqGWhhDQAA4BppDCBAgQIAAAQIECHRMQABYviACwPLmAsD2zfWgvoAAsL6hFsYQEACOgeYQAgQIECBAgAABAh0TEACWL4gAsLy5ALB9cz2oLyAArG+ohTEEBIBjoDmEAAECBAgQIECAQMcEBIDlCyIALG8uAGzfXA/qCwgA6xtqYQwBAeAYaA4hQIAAAQIECBAg0DEBAWD5gggAy5sLANs314P6AgLA+oZaGENAADgGmkMIECBAgAABAgQIdExAAFi+IALA8uYCwPbN9aC+gACwvqEWxhAQAI6B5hACBAgQIECAAAECHRMQAJYviACwvLkAsH1zPagvIACsb6iFMQQEgGOgOYQAAQIECBAgQIBAxwQEgOULIgAsby4AbN9cD+oLCADrG2phDAEB4BhoDiFAgAABAgQIECDQMQEBYPmCCADLmwsA2zfXg/oCAsD6hloYQ0AAOAaaQwgQIECAAAECBAh0TEAAWL4gAsDy5gLA9s31oL6AALC+oRbGEBAAjoHmEAIECBAgQIAAAQIdExAAli+IALC8uQCwfXM9qC8gAKxvqIUxBASAY6A5hAABAgQIECBAgEDHBASA5QsiACxvLgBs31wP6gsIAOsbamEMAQHgGGgOIUCAAAECBAgQINAxAQFg+YIIAMubCwDbN9eD+gICwPqGWhhDQAA4BppDCBAgQIAAAQIECHRMQABYviACwPLmAsD2zfWgvoAAsL6hFsYQEACOgeYQAgQIECBAgAABAh0TEACWL4gAsLy5ALB9cz2oLyAArG+ohTEEBIBjoDmEAAECBAgQIECAQMcEBIDlCyIALG8uAGzfXA/qCwgA6xtqYQwBAeAYaA4hQIAAAQIECBAg0DEBAWD5gggAy5sLANs314P6AgLA+oZaGENAADgGmkMIECBAgAABAgQIdExAANh8Qa677rp0/fXXz9jwggUL0rx58xb5fO7cuWm55ZZbYme23XbbtN122zXf4QG2+NnPfjY9+uijaf3110/52tZGIIKAADBClXrYRwFgD4tqSAQIECBAgAABAoMTEAA2X/Krr746XXPNNY03vMMOO6Sddtqp8XaH2KAAcIhVjz9mAWD8GoYcgQAwZNl0mgABAgQIECBAgMAiAgLA5ifE0n4BOO4Z/QJwXLnFjxMANmeppXICAsBy1s40SUAAaDoQIECAAAECBAgQiC8gAIxfQyNYdgEB4LKbOaJ9AQFg+zUYZA8EgIMsu0ETIECAAAECBAj0TEAA2LOCGs5IAgLAkZjs1DEBAWDHCjKU7ggAh1Jp4yRAgAABAgQIEOizgACwz9U1tpkEBIDmRkQBAWDEqvWgzwLAHhTREAgQGKTA5z73uZT/1/R2xBFHpPw/GwECBAjEEhAAxqqX3jYjIABsxlErZQUEgGW9ne3/CggATQUCBAjEFDjuuOPS8ccf33jnP/7xj6fcto0AAQIEYgkIAGPVS2+bERAANuOolbICAsCy3s4mADQHCBAgEFpgab8AnD9/fnrggQcWGeO6666b5syZs8Rx+wVg6Gmh8wQIDFhAADjg4g946ALAARc/8NAFgIGLF7nrfgEYuXr6ToAAgZkF/vSnP6W11lprkR3++Mc/pjXXXBMbAQIECPRQQADYw6Ia0lIFBIBLJbJDBwUEgB0syhC6JAAcQpWNkQCBIQoIAIdYdWMmQGDIAgLAIVd/uGMXAA639pFHLgCMXL3AfRcABi6erhMgQGAJAgJA04MAAQLDEhAADqveRvuvAgJAMyGigAAwYtV60GcBYA+KaAgECBCYRkAAaFoQIEBgWAICwGHV22gFgOZAXAEBYNzahe65ADB0+XSeAAECMwoIAE0OAgQIDEtAADisehutANAciCsgAIxbu9A9FwCGLp/OEyBAQABoDhAgQIBAJSAANBGGKOAW4CFWPf6YBYDxaxhyBALAkGXTaQIECCxVwC8Al0pkBwIECPRKQADYq3IazIgCAsARoezWKQEBYKfKMZzOCACHU2sjJUBgWAICwGHV22gJECAgADQHhiggABxi1eOPWQAYv4YhRyAADFk2nSZAgMBSBQSASyWyAwECBHolIADsVTkNZkQBAeCIUHbrlIAAsFPlGE5nBIDDqbWREiAwLAEB4LDqbbQECBAQAJoDQxQQAA6x6vHHLACMX8OQIxAAhiybThMgQGCpAgLApRLZgQABAr0SEAD2qpwGM6KAAHBEKLt1SkAA2KlyDKczAsDh1NpICRAYloAAcFj1NtoYAp/73OdS/l/T2xFHHJHy/2zDFhAADrv+Qx29AHColY89bgFg7PqF7b0AMGzpdJwAAQJLFBAAmiAEuidw3HHHpeOPP77xjn384x9PuW3bsAUEgMOu/1BHLwAcauVjj1sAGLt+YXsvAAxbOh0nQICAANAcIBBMYGm/AJw/f3564IEHFhnVuuuum+bMmbPEkfoFYLCJMEvdFQDOEqxmOy0gAOx0eXRuBgEBoKnRioAAsBV2JyVAgMCsC/gF4KwTOwGBxgWs28ZJB9WgAHBQ5TbY/ysgADQVIgoIACNWrQd9FgD2oIiGQIAAgWkEBAmmBYF4AtZtvJp1qccCwC5VQ19KCQgAS0k7T5MCAsAmNbU1soAAcGQqOxIgQCCUgCAhVLl0lkAlYN2aCHUEBIB19BwbVUAAGLVyw+63AHDY9W9t9ALA1uidmAABArMqIEiYVV6NE5gVAet2VlgH06gAcDClNtBJAgJA0yGigAAwYtV60GcBYA+KaAgECBCYRkCQYFoQiCdg3carWZd6LADsUjX0pZSAALCUtPM0KSAAbFJTWyMLCABHprIjAQIEQgkIEkKVS2cJVALWrYlQR0AAWEfPsVEFBIBRKzfsfgsAh13/1kYvAGyN3okJECAwqwKChFnl1TiBWRGwbmeFdTCNCgAHU2oDnSQgADQdIgoIACNWrQd9FgD2oIiGQIAAgWkEBAmmBYF4AtZtvJp1qccCwC5VQ19KCQgAS0k7T5MCAsAmNbU1soAAcGQqOxIgQCCUgCAhVLl0lkAlYN2aCHUEBIB19BwbVUAAGLVyw+63AHDY9W9t9ALA1uidmAABArMqIEiYVV6NE5gVAet2VlgH06gAcDClNtBJAgJA0yGigAAwYtV60GcBYA+KaAgECBCYRkCQYFoQiCdg3carWZd6LADsUjX0pZSAALCUtPM0KSAAbFJTWyMLCABHprIjAQIEQgkIEkKVS2cJVALWrYlQR0AAWEfPsVEFBIBRKzfsfgsAh13/1kYvAGyN3okJECAwqwKChFnl1TiBWRGwbmeFdTCNCgAHU2oDnSQgADQdIgoIACNWrQd9FgD2oIiGQIAAgWkEBAmmBYF4AtZtvJp1qccCwC5VQ19KCQgAS0k7T5MCAsAmNbU1soAAcGQqOxIgQCCUgCAhVLl0lkAlYN2aCHUEBIB19BwbVUAAGLVyw+63AHDY9W9t9ALA1uidmAABArMqIEiYVV6NE5gVAet2VlgH06gAcDClNtBJAgJA0yGigAAwYtV60GcBYA+KaAgECBCYRkCQYFoQiCdg3carWZd6LADsUjX0pZSAALCUtPM0KSAAbFJTWyMLCABHprIjAQIEQgkIEkKVS2cJVALWrYlQR0AAWEfPsVEFBIBRKzfsfgsAh13/1kYvAGyN3okJECAwqwKChFnl1TiBWRGwbmeFdTCNCgAHU2oDnSQgADQdIgoIACNWrQd9FgD2oIiGQIAAgWkEBAmmBYF4AtZtvJp1qccCwC5VQ19KCQgAS0k7T5MCAsAmNbU1soAAcGQqOxIgQCCUgCAhVLl0lkAlYN2aCHUEBIB19BwbVUAAGLVyw+63AHDY9W9t9ALA1uidmAABArMqIEiYVV6NE5gVAet2VlgH06gAcDClNtBJAgJA0yGigAAwYtV60GcBYA+KaAgECBCYRkCQYFoQiCdg3carWZd6LADsUjX0pZSAALCUtPM0KSAAbFJTWyMLCABHprIjAQIEQgkIEkKVS2cJVALWrYlQR0AAWEfPsVEFBIBRKzfsfgsAh13/1kYvAGyN3okJECAwqwKChFnl1TiBWRGwbmeFdTCNCgAHU2oDnSQgADQdIgoIACNWrQd9FgD2oIiGQIAAgWkEBAmmBYF4AtZtvJp1qccCwC5VQ19KCQgAS0k7T5MCAsAmNbU1soAAcGQqOxIgQCCUgCAhVLl0lkAlYN2aCHUEBIB19BwbVUAAGLVyw+63AHDY9W9t9ALA1uidmAABArMqIEiYVV6NE5gVAet2VlgH06gAcDClNtBJAgJA0yGigAAwYtV60GcBYA+KaAgEAghstdVW6cEHHwzQ0/508ZlnnlnMfJ111knLL798fwYZZCTZ/eabbw7SW91sU0AA2KZ+/HMLAOPX0AiWXUAAuOxmjmhfQADYfg0G2QMB4CDLbtAEigtMXJQUP7ETEuiAwPrrr5/y962NwNIEBIBLE/L5kgQEgObHEAUEgEOsevwxCwDj1zDkCASAIcum0wTCCUxclCy33HJp7ty54fofscPz589Pjz322CJdX3nlldOcOXMiDidkn+fNm5cWLFiQBIAhy9dKpwWArbD35qQCwN6U0kCWQUAAuAxYdu2MgACwM6UYVkcEgMOqt9ESaEvARUl5+Rz+nXrqqYuc+Kijjko5BLSVEXBRUsa5T2cRAPapmuXH4ru2vLkzti/gu7b9GujBsgsIAJfdzBENCAgAG0DUBAECSxVwUbJUosZ3EAA2TrrMDbooWWaywR8gABz8FKgF4Lu2Fp+Dgwr4rg1auIF3WwA48AnQ1vAFgG3JOy+BYQm4KClfbwFgefOpZ3RR0n4NovVAABitYt3qr+/abtVDb8oI+K4t4+wszQoIAJv11NqIAgLAEaHsRoBALQEXJbX4xjpYADgWW6MHuShplHMQjQkAB1HmWRuk79pZo9VwhwV813a4OLo2o4AA0ORoRUAA2Aq7kxIYnICLkvIlFwCWN596Rhcl7dcgWg8EgNEq1q3++q7tVj30poyA79oyzs7SrIAAsFlPrY0oIAAcEcpuBAjUEnBRUotvrIMFgGOxNXqQi5JGOQfRmABwEGWetUH6rp01Wg13WMB3bYeLo2szCggATY5WBASArbA7KYHBCbgoKV9yAWB586lndFHSfg2i9UAAGK1i3eqv79pu1UNvygj4ri3j7CzNCggAm/XU2ogCAsARoexGgEAtARcltfjGOlgAOBZbowe5KGmUcxCNCQAHUeZZG6Tv2lmj1XCHBXzXdrg4ujajgADQ5GhFQADYCruTEhicgIuS8iUXAJY3n3pGFyXt1yBaDwSA0SrWrf76ru1WPfSmjIDv2jLOztKsgACwWU+tjSggABwRym4ECNQScFFSi2+sgwWAY7E1epCLkkY5B9GYAHAQZZ61QfqunTVaDXdYwHdth4ujazMKCABNjlYEBICtsDspgcEJuCgpX3IBYHnzqWd0UdJ+DaL1QAAYrWLd6q/v2m7VQ2/KCPiuLePsLM0KCACb9dTaiAICwBGh7EaAQC0BFyW1+MY6WAA4FlujB7koaZRzEI0JAAdR5lkbpO/aWaPVcIcFfNd2uDi6NqOAANDkaEVAANgKu5MSGJyAi5LyJRcAljefekYXJe3XIFoPBIDRKtat/vqu7VY99KaMgO/aMs7O0qyAALBZT62NKCAAHBHKbgQI1BJwUVKLb6yDBYBjsTV6kIuSRjkH0ZgAcBBlnrVB+q6dNVoNd1jAd22Hi6NrMwoMNgA8+uij06mnnroQ5uqrr0477rjjEqfK5Zdfns4+++x04403pvyH0pprrpm22WabdOCBB6Y3vvGNI02zxx9/PJ1++unpoosuSvfcc0/6+9//njbYYIO0yy67pA984ANpww03HKmdO++8M33hC19IV155Zbr//vvT3Llz06abbpr23nvvtN9++6UVVlhhpHYuuOCCdO6556bbbrst/eUvf0nrrLNO2n777dMhhxySXv3qV4/Uxjg7CQDHUXMMAQLLKuCiZFnF6u8vAKxvWLcFFyV1BYd3vABweDVvcsS+a5vU1FYUAd+1USqln5MFBhkA/uxnP0tbbbVVevrpp0cKABcsWJAOOuigKvybacsh4Je+9KW03HLLzbjPvffeWwV9d91117T7PO95z0vnn39+2nnnnZc4S7/85S9XAd3f/va3affLwd0ll1ySVl999RnbefLJJ9M73vGOar/ptjlz5qTjjjsuHXvssbOyYgSAs8KqUQIEpgi4KCk/JQSA5c2nntFFSfs1iNYDAWC0inWrv75ru1UPvSkj4Lu2jLOzNCswuABw/vz51S/bbrrpprTWWmulP/7xj5Xokn4B+NGPfjSdeOKJ1X5bbLFFyr8efNGLXpRyoHfKKaekW2+9tfos7/epT31q2grNmzcvbb311umXv/xl9fkBBxyQ9thjj7TiiitW5z7ppJNS3mellVZK119/fXrZy142bTvf//73q4Awj2PttdeuzvmqV70q/fnPf07nnHNOuvjii6vjXvOa11Tt5iBvui3/UjCHjXnbaaed0mGHHZbWW2+9dPvtt1djzWPLW25z//33b3bWpZQEgI2TapAAgWkEXJSUnxYCwPLmU8/ooqT9GkTrgQAwWsW61V/ftd2qh96UEfBdW8bZWZoVGFwA+M///M/pP//n/1zdLvvWt761Ct7yNlMAmG/TzfvmXwvmXw1ee+21VWg3seVbenfYYYd08803V7fd5oAvh4NTt/xruuOPP776zzk0POqooxbZJYd+ObTL58mB3A9/+MPF2sif5b7kPj33uc9Nt9xyy2Lnyr8MPOOMM6pjv/rVr6Z99tlnsXauueaahbc777bbbunb3/52Wn755Rfu99BDD6Utt9wy3XfffWm11VZLv/71r9Oqq67a6MwTADbKqTECBGYQcFFSfmoIAMubTz2ji5L2axCtBwLAaBXrVn9913arHnpTRsB3bRlnZ2lWYFAB4O9+97u02WabVb+0+9GPflSFfhOh3EwB4ORALYd00z0X74YbbkjbbrttVZlDDz20ejbf5O2pp56qfm348MMPVwHeHXfcMe0v8/JtxmeddVZ1aA4Ucwg3ecvPDXznO99Z/accXH7oQx9abDbkQDJ/Cefn+b30pS+tftE3dcu3IV922WVV6Pfb3/622n/qlp8NuOeee1b/+TOf+Uw68sgjG515AsBGOTVGgMAMAi5Kyk8NAWB586lndFHSfg2i9UAAGK1i3eqv79pu1UNvygj4ri3j7CzNCgwqAMy/dsvPvHv3u9+dzjvvvOoZd0sKAPOz//ILOvJLNl7ykpekX/ziFzPq58/zs/3yF2D+5dzkZwH+4Ac/SK9//eurYz/96U+nD37wg9O2MzlI/MhHPpJOOOGERfabfNvuAw88UL2wY7ptcpB49913p4033njhbjn8XGONNarnB+YXl3zve9+bto38cpL8kpNHHnkkbbfdduknP/lJozNPANgop8YIEBAAdmYOCADbL4WLkvZrEK0HAsBoFetWfwWA3aqH3pQR8F1bxtlZmhUYTAB44YUXpt133z3923/7b6vbdHO4tbQAMN/6OnE773vf+97qJR8zbfnziZeE5OM22mijhbt+7GMfS5/85Cerf5/pV4T5s3yLb77VNl885duB8626k7f8huD8K8ZNNtlk4bMEp+vPN77xjbTXXntVH33lK19J++6778Ld8q3Fr3vd66p/n+lXhBM7v+ENb0hXXHFFdWtz/mXhs571rMZmnwCwMUoNESCwBAEXJeWnhwCwvPnUM7ooab8G0XogAIxWsW7113dtt+qhN2UEfNeWcXaWZgUGEQBO3Hr74IMPLvJSi6UFgJdeemnaddddK/HPf/7z6fDDD59RP39+xBFHVJ/n4ya/yTe/bfeb3/xm9Vm+NXdJz9N7+ctfnm677bYqoJx4QUk+Lv9yLz/3L/8q8S1veUv6zne+M2Nf8ktJXvnKV1af52cN5mcOTmynn356dZty3vKz//JzEGfa8otBTjvttOrjO++8s7p9uqlNANiUpHYIEFiSgIuS8vNDAFjefOoZXZS0X4NoPRAARqtYt/rru7Zb9dCbMgK+a8s4O0uzAoMIAA888MAq+Mu3sv7P//k/F96eu7QAMP/i733ve18lnp+/9/a3v31G/Rzw5aAvb/m4/IvAiS0/N/CnP/1pWnnllasgb0lbDhxzgJi3J598Mj3nOc+p/jn/ajE/PzBv+bmEX/ziF2dsJr/EIweIectvGs6/CJzY8nMDTz755Opf85uQ84tNZtrys/8mXlZy+eWXp/yLwFG3HPAtacu3MG+zzTbVLvlXjdM9h3DUc9mPAAECMwm4KCk/NwSA5c2nntFFSfs1iNYDAWC0inWrv75ru1UPvSkj4Lu2jLOzNCvQ+wAwB375dtr8wov81tx//Md/XCi4tADw1FNPTUcffXS1f35WXn5m3kxb/nziV39TX5qx+eabp5///Odp7bXXTvlXiEva8m3K+XblvOUgb/XVV6/+OYd1E4FZfoZgfpbgTNsTTzyRVlppperjHCh+97vfXbjr5Jea5Gca5mcXzrSdeeaZ6eCDD64+zgHn2972tpFn3+RnIC7tIAHg0oR8ToDAuAIuSsaVG/84AeD4dk0d6aKkKcnhtCMAHE6tZ2OkvmtnQ1WbXRfwXdv1CunfdAK9DgDziyxe8YpXVC/vmHorbMZYWgCYn9uXn9+Xt6uuuiq99rWvnXEWTX62Xj7umGOOWbhvfo5gfi5gfqFIfkHIkrZ99tknfe1rX6t2mRyM/fjHP66CzLwde+yx6ROf+MSMzcyfP78KPPOWn/d35ZVXLtx3v/32q54LmLd77703vfCFL5yxnbxf3j9vuU/vete7Rl5FAsCRqexIgMAsCrgomUXcGZoWAJY3n3pGFyXt1yBaDwSA0SrWrf76ru1WPfSmjIDv2jLOztKsQK8DwImAL788I/8CL9+CO3lbWgDoF4Dj/wLQLcDNLlStESAwnoCLkvHc6hwlAKyj18yxLkqacRxSKwLAIVW7+bH6rm3eVIvdF/Bd2/0a6eHiAr0NAPMz8/ILNfKvAP/H//gf6c1vfvNio19aAOgZgOM/A3Bpi81LQJYmNJzPP/e5z6X8v6a3/FKeiRfzNN229uIIuCgpXysBYHnzqWd0UdJ+DaL1QAAYrWLd6q/v2m7VQ2/KCPiuLePsLM0K9DYAzC/hOPvss6tbXE844YRp1fJz7b71rW9Vn+XbaifecrvbbrtVvxa85JJLUv7nvNV5C3B+ecjEeeq8BXiVVVap+lLnLcD55SHvf//7q3a8BbjZxaS18QQmB/HjtTD9UR//+Mer2/xtwxZwUVK+/gLA8uYCwPbNo/dAABi9gu3233dtu/7O3o6AALAdd2etJ9DbAPA973lP+upXvzqWzm9+85v0ghe8oHpuX35+X95yoJh/ETjTNhE45s/zcRtttNHCXfNzBPNzAfN2/fXXp/xW4Om2p59+Oq266qopXzzl5/1dc801i+yWb2XOzwXcZJNNqrcCz7Tlt/7utdde1cf5OX777rvvwl0nP6vwpJNOSvmtwDNt+a2/V1xxRVphhRWqPj372c8ey3O6g/wCsDHK8A0t7ReA+ZmW+a3Rk7d11103zZkzZ4lj9wvA8FOjkQG4KGmEcZkaEQAuE9es7OyiZFZYe92oALDX5Z31wfmunXViJ+iggO/aDhZFl5YqIACchmgiAFywYEHKX2i///3vq7fl5peJzLRtuummVSi3/vrrVyHd5Jdg5BAth2l5y2/vzW/xnW674YYb0rbbblt99OEPfzideOKJi+yWQ70c7uUtByLrrLPOtO0cdNBB6ayzzqo+u+uuu9KLX/zihfs9+uijaY011qhujc5vNc5vL55uy5+vuZeU/EMAACAASURBVOaa6ZFHHqn6dN111y11Mi3LDgLAZdEa9r4uSoZd/7qjd1FSV3DZjxcALrtZ00e4KGlatP/t+a7tf41nc4S+a2dTV9tdFfBd29XK6NeSBHobAI5S9qU9AzC3cfDBB6czzzyzam6mX+9NDu7y/qeffvoip89h2lprrZX++te/phwU3nnnnYsEhBM7Tw7ubrzxxrT11lsv0s6FF16Ydt999+q/zfTrvccff7wKLfOtxvmW5nyuqdvOO+9cBX/5l3057Mz7T90uuOCCtOeee1b/+ZRTTqneotzkJgBsUrPfbbko6Xd9Z3t0LkpmW3jx9gWA5c2nnjH6RclWW22VHnzwwfYhB9SDZ555ZjHz/P9oXn755Qek0I2hZvebb765G50ZsRe+a0eEsluvBKJ/1/aqGAYzsoAA8PjjK6yrr7467bjjjovB3X333WnzzTdP+fbc/Afptddem1ZcccWF+z3xxBPV7br5izoHavltwxtvvPFi7Uy+DXi6QC2Hi7mdfJ4ddtgh/ehHP1qsjaeeeqoKEO+999703Oc+N91yyy0Lb1Ge2PmQQw5JZ5xxRvWv5557bsq3Qk/dJt8GnF+OcvHFFy/yB95DDz2Uttxyy3TfffdVtyTnW5pXW221kSfVKDsKAEdRsk8WEACaB3UEXJTU0RvvWAHgeG5NHhX9omRi3TZpoi0CUQTy3UT57+RIm+/aSNXS16YEon/XNuWgnVgCAsClBIC5nPl23Hzrbt622GKL6hbe/GzAHMSdfPLJ6dZbb60+m+623YnpkG+9zQFiDhTzduCBB6Y99tijChNz+Jhv9503b1717/l221e84hXTzqTLLrusejFJfi7a2muvnY455pi0zTbbVL/4O+eccxa+bOSf/umfqhBxpv/Pbf51X/6VX9522mmndPjhh6f11lsv3X777dVLU/LY8pafe5ifb9j0JgBsWrS/7QkA+1vbEiNzUVJCedFzCADLm089Y/SLkol1mx+nMnfu3PZBB9CD/HdlXruTt/xCvKU9b3cANMWGmK8D8uOHBIDFyJ2IQC2B6N+1tQbv4LACAsARAsD8R9EBBxxQvVBjpm2//far3jq8pD+U7rnnnpRvv/3Vr341bTP5V31f//rX06677rrECZWDvkMPPbR6jt90Ww4EL7300upZfzNt+ZeL+e3EOVCcbsvjyG9Gnq23qAoAw/7fjOIdFwAWJ+/VCQWA5cspACxv3tcAcJVVVklHHnlk+6AD6IF1236RI4cJvmvbnz96UF4g8potr+WMXREQAI4QAE4UK4dlOeS76aabUr5NNgds+Tl9+Rdyb3rTm0aqaf4DKz8j8KKLLko5EMwh3gYbbFAFg4cddlj6h3/4h5HaueOOO9Jpp52WrrrqquolJfn/S5tvD957773T/vvvX92OPMp2/vnnp/POOy/97Gc/Sw8//HD1q8Ltt9++ChgnXkgySjvLuo8AcFnFhru/AHC4tW9i5C5KmlBctjYECcvmNRt7R78osW5nY1YsuU3rtrx5n4J7a7b9+aMH5QWif9eWF3PGLggMOgDsQgGG2gcB4FArv+zjFgAuu5kj/p+Ai5Lys0GQUN68T0FCHot1W34OWbflzfu0bq3Z9uePHpQXEACWN3fG+gICwPqGWhhDQAA4BtpADxEADrTwDQ3bRUlDkMvQjCBhGbBmadfoFyXW7SxNjCU0a92WNxcAtm+uBwTqCET/rq0zdsfGFRAAxq1d6J4LAEOXr2jnBYBFuXt3MkFC+ZIKEsqb9ylIyGOxbsvPIeu2vHmf1q012/780YPyAgLA8ubOWF9AAFjfUAtjCAgAx0Ab6CECwIEWvqFhuyhpCHIZmhEkLAPWLO0a/aLEup2libGEZq3b8uYCwPbN9YBAHYHo37V1xu7YuAICwLi1C91zAWDo8hXtvACwKHfvTiZIKF9SQUJ58z4FCXks1m35OWTdljfv07q1ZtufP3pQXkAAWN7cGesLCADrG2phDAEB4BhoAz1EADjQwjc0bBclDUEuQzOChGXAmqVdo1+UWLezNDGW0Kx1W95cANi+uR4QqCMQ/bu2ztgdG1dAABi3dqF7LgAMXb6inRcAFuXu3ckECeVLKkgob96nICGPxbotP4es2/LmfVq31mz780cPygsIAMubO2N9AQFgfUMtjCEgABwDbaCHCAAHWviGhu2ipCHISc1cd9116frrr5+x4QULFqR58+Yt8vncuXPTcsstt8TObLvttmm77bZrvsMDbDH6RYl1W37SCgDLmwsA2zfXAwJ1BKJ/19YZu2PjCggA49YudM8FgKHLV7TzAsCi3L07mSCh+ZJeffXV6Zprrmm84R122CHttNNOjbc7xAajX5RYt+VnrQCwvLkAsH1zPSBQRyD6d22dsTs2roAAMG7tQvdcABi6fEU7LwAsyt27kwkSmi/p0n4BOO4Z/QJwXLnFj4t+UWLdNjcXRm1JADiq1OztF3ndWrOzNy+03F2ByGu2u6p6NtsCAsDZFtb+tAICQBNjVAEB4KhS9ptOwEWJeTFEgegXJdZt+VkrACxvPvWMkdetNdv+/NGD8gKR12x5LWfsioAAsCuVGFg/BIADK3iN4QoAa+A51MsEzIFBCkS/KBEmlJ+2AsDy5gLA9s31gEAdgejftXXG7ti4AgLAuLUL3XMBYOjyFe28ALAod+9OJkjoXUkNaASB6Bcl1u0IRW54FwFgw6BjNBd53VqzYxTcIeEFIq/Z8PgGMLaAAHBsOgfWERAA1tEb1rECwGHVu+nRuihpWlR7EQSiX5RYt+VnmQCwvPnUM0Zet9Zs+/NHD8oLRF6z5bWcsSsCAsCuVGJg/RAADqzgNYYrAKyB51C3AJsDgxSIflEiTCg/bQWA5c0FgO2b6wGBOgLRv2vrjN2xcQUEgHFrF7rnAsDQ5SvaeQFgUe7enUyQ0LuSGtAIAtEvSqzbEYrc8C4CwIZBx2gu8rq1ZscouEPCC0Res+HxDWBsAQHg2HQOrCMgAKyjN6xjBYDDqnfTo3VR0rSo9iIIRL8osW7LzzIBYHnzqWeMvG6t2fbnjx6UF4i8ZstrOWNXBASAXanEwPohABxYwWsMVwBYA8+hbgE2BwYpEP2iRJhQftoKAMubCwDbN9cDAnUEon/X1hm7Y+MKCADj1i50zwWAoctXtPMCwKLcvTuZIKF3JTWgEQSiX5RYtyMUueFdBIANg47RXOR1a82OUXCHhBeIvGbD4xvA2AICwLHpHFhHQABYR29YxwoAh1XvpkfroqRpUe1FEIh+UWLdlp9lAsDy5lPPGHndWrPtzx89KC8Qec2W13LGrggIALtSiYH1QwA4sILXGK4AsAaeQ90CbA4MUiD6RYkwofy0FQCWNxcAtm+uBwTqCET/rq0zdsfGFRAAxq1d6J4LAEOXr2jnBYBFuXt3MkFC70pqQCMIRL8osW5HKHLDuwgAGwYdo7nI69aaHaPgDgkvEHnNhsc3gLEFBIBj0zmwjoAAsI7esI4VAA6r3k2P1kVJ06LaiyAQ/aLEui0/ywSA5c2nnjHyurVm258/elBeIPKaLa/ljF0REAB2pRID64cAcGAFrzFcAWANPIe6BdgcGKRA9IsSYUL5aSsALG8uAGzfXA8I1BGI/l1bZ+yOjSsgAIxbu9A9FwCGLl/RzgsAi3L37mSChN6V1IBGEIh+UWLdjlDkhncRADYMOkZzkdetNTtGwR0SXiDymg2PbwBjCwgAx6ZzYB0BAWAdvWEdKwAcVr2bHq2LkqZFtRdBIPpFiXVbfpYJAMubTz1j5HVrzbY/f/SgvEDkNVteyxm7IiAA7EolBtYPAeDACl5juALAGngOdQuwOTBIgegXJcKE8tNWAFjeXADYvrkeEKgjEP27ts7YHRtXQAAYt3ahey4ADF2+op0XABbl7t3JBAm9K6kBjSAQ/aLEuh2hyA3vIgBsGHSM5iKvW2t2jII7JLxA5DUbHt8AxhYQAI5N58A6AgLAOnrDOlYAOKx6Nz1aFyVNi2ovgkD0ixLrtvwsEwCWN596xsjr1pptf/7oQXmByGu2vJYzdkVAANiVSgysHwLAgRW8xnAFgDXwHOoWYHNgkALRL0qECeWnrQCwvLkAsH1zPSBQRyD6d22dsTs2roAAMG7tQvdcABi6fEU7LwAsyt27kwkSeldSAxpBIPpFiXU7QpEb3kUA2DDoGM1FXrfW7BgFd0h4gchrNjy+AYwtIAAcm86BdQQEgHX0hnWsAHBY9W56tC5KmhbVXgSB6Bcl1m35WSYALG8+9YyR16012/780YPyApHXbHktZ+yKgACwK5UYWD8EgAMreI3hCgBr4DnULcDmwCAFol+UCBPKT1sBYHlzAWD75npAoI5A9O/aOmN3bFwBAWDc2oXuuQAwdPmKdl4AWJS7dycTJPSupAY0gkD0ixLrdoQiN7yLALBh0DGai7xurdkxCu6Q8AKR12x4fAMYW0AAODadA+sICADr6A3rWAHgsOrd9GhdlDQtqr0IAtEvSqzb8rNMAFjefOoZI69ba7b9+aMH5QUir9nyWs7YFQEBYFcqMbB+CAAHVvAawxUA1sBzqFuAzYFBCkS/KBEmlJ+2AsDy5gLA9s31gEAdgejftXXG7ti4AgLAuLUL3XMBYOjyFe28ALAod+9OJkjoXUkNaASB6Bcl1u0IRW54FwFgw6BjNBd53VqzYxTcIeEFIq/Z8PgGMLaAAHBsOgfWERAA1tEb1rECwGHVu+nRuihpWlR7EQSiX5RYt+VnmQCwvPnUM0Zet9Zs+/NHD8oLRF6z5bWcsSsCAsCuVGJg/RAADqzgNYYrAKyB51C3AJsDgxSIflEiTCg/bQWA5c0FgO2b6wGBOgLRv2vrjN2xcQUEgHFrF7rnAsDQ5SvaeQFgUe7enUyQ0LuSGtAIAtEvSqzbEYrc8C4CwIZBx2gu8rq1ZscouEPCC0Res+HxDWBsAQHg2HQOrCMgAKyjN6xjBYDDqnfTo3VR0rSo9iIIRL8osW7LzzIBYHnzqWeMvG6t2fbnjx6UF4i8ZstrOWNXBASAXanEwPohABxYwWsMVwBYA8+hbgE2BwYpEP2iRJhQftoKAMubCwDbN9cDAnUEon/X1hm7Y+MKCADj1i50zwWAoctXtPMCwKLcvTuZIKF3JTWgEQSiX5RYtyMUueFdBIANg47RXOR1a82OUXCHhBeIvGbD4xvA2AICwLHpHFhHQABYR29YxwoAh1XvpkfroqRpUe1FEIh+UWLdlp9lAsDy5lPPGHndWrPtzx89KC8Qec2W13LGrggIALtSiYH1QwA4sILXGK4AsAaeQ90CbA4MUiD6RYkwofy0FQCWNxcAtm+uBwTqCET/rq0zdsfGFRAAxq1d6J4LAEOXr2jnBYBFuXt3MkFC70pqQCMIRL8osW5HKHLDuwgAGwYdo7nI69aaHaPgDgkvEHnNhsc3gLEFBIBj0zmwjoAAsI7esI4VAA6r3k2P1kVJ06LaiyAQ/aLEui0/ywSA5c2nnjHyurVm258/elBeIPKaLa/ljF0REAB2pRID64cAcGAFrzFcAWANPIe6BdgcGKRA9IsSYUL5aSsALG8uAGzfXA8I1BGI/l1bZ+yOjSsgAIxbu9A9FwCGLl/RzgsAi3L37mSChN6V1IBGEIh+UWLdjlDkhncRADYMOkZzkdetNTtGwR0SXiDymg2PbwBjCwgAx6ZzYB0BAWAdvWEdKwAcVr2bHq2LkqZFtRdBIPpFiXVbfpYJAMubTz1j5HVrzbY/f/SgvEDkNVteyxm7IiAA7EolBtYPAeDACl5juALAGngOdQuwOTBIgegXJcKE8tNWAFjeXADYvrkeEKgjEP27ts7YHRtXQAAYt3ahey4ADF2+op0XABbl7t3JBAm9K6kBjSAQ/aLEuh2hyA3vIgBsGHSM5iKvW2t2jII7JLxA5DUbHt8AxhYQAI5N58A6AgLAOnrDOlYAOKx6Nz1aFyVNi2ovgkD0ixLrtvwsEwCWN596xsjr1pptf/7oQXmByGu2vJYzdkVAANiVSgysHwLAgRW8xnAFgDXwHOoWYHNgkALRL0qECeWnrQCwvLkAsH1zPSBQRyD6d22dsTs2roAAMG7tQvdcABi6fEU7LwAsyt27kwkSeldSAxpBIPpFiXU7QpEb3kUA2DDoGM1FXrfW7BgFd0h4gchrNjy+AYwtIAAcm86BdQQEgHX0hnWsAHBY9W56tC5KmhbVXgSB6Bcl1m35WSYALG8+9YyR16012/780YPyApHXbHktZ+yKgACwK5UYWD8EgAMreI3hCgBr4DnULcDmwCAFol+UCBPKT1sBYHlzAWD75npAoI5A9O/aOmN3bFwBAWDc2oXuuQAwdPmKdl4AWJS7dycTJPSupAY0gkD0ixLrdoQiN7yLALBh0DGai7xurdkxCu6Q8AKR12x4fAMYW0AAODadA+sICADr6A3rWAHgsOrd9GhdlDQtqr0IAtEvSqzb8rNMAFjefOoZI69ba7b9+aMH5QUir9nyWs7YFQEBYFcqMbB+CAAHVvAawxUA1sBzqFuAzYFBCkS/KBEmlJ+2AsDy5gLA9s31gEAdgejftXXG7ti4AgLAuLUL3XMBYOjyFe28ALAod+9OJkjoXUkNaASB6Bcl1u0IRV7GXa677rp0/fXXz3jUggUL0rx58xb5fO7cuWm55ZZb4pm23XbbtN122y1jb+w+nUDkdWvNmtNDFIi8ZodYL2P+VwEBoJnQioAAsBX2kCcVAIYsW2c67aKkM6XQkYIC0S9KrNvmJ8vVV1+drrnmmsYb3mGHHdJOO+3UeLtDbDDyurVmhzhjjTnymlW94QoIAIdb+1ZHLgBslT/UyQWAocrVuc66KOlcSXSogED0ixLrtvlJsrRfAI57Rr8AHFdu8eMir1trtrl5oKU4ApHXbBxlPW1aQADYtKj2RhIQAI7EZKeUkgDQNKgj4KKkjp5jowpEvyixbqPOPP2uIxB53VqzdSrv2KgCkddsVHP9ri8gAKxvqIUxBASAY6AN9BAB4EAL39CwXZQ0BKmZUALRL0qs21DTTWcbEoi8bq3ZhiaBZkIJRF6zoaB1tlEBAWCjnBobVUAAOKqU/QSA5kAdARcldfQcG1Ug+kWJdRt15ul3HYHI69aarVN5x0YViLxmo5rrd30BAWB9Qy2MISAAHANtoIcIAAda+IaG7aKkIUjNhBKIflFi3YaabjrbkEDkdWvNNjQJNBNKIPKaDQWts40KCAAb5dTYqAICwFGl7CcANAfqCLgoqaPn2KgC0S9KrNuoM0+/6whEXrfWbJ3KOzaqQOQ1G9Vcv+sLCADrG2phDAEB4BhoAz1EADjQwjc0bBclDUFqJpRA9IsS6zbUdNPZhgQir1trtqFJoJlQApHXbChonW1UQADYKKfGRhUQAI4qZT8BoDlQR8BFSR09x0YViH5RYt1GnXn6XUcg8rq1ZutU3rFRBSKv2ajm+l1fQABY31ALYwgIAMdAG+ghAsCBFr6hYbsoaQhSM6EEol+UWLehppvONiQQed1asw1NAs2EEoi8ZkNB62yjAgLARjk1NqqAAHBUKfsJAM2BOgIuSuroOTaqQPSLEus26szT7zoCkdetNVun8o6NKhB5zUY11+/6AgLA+oZaGENAADgG2kAPEQAOtPANDdtFSUOQmgklEP2ixLoNNd10tiGByOvWmm1oEmgmlEDkNRsKWmcbFRAANsqpsVEFBICjStlPAGgO1BFwUVJHz7FRBaJflFi3UWeeftcRiLxurdk6lXdsVIHIazaquX7XFxAA1jfUwhgCAsAx0AZ6iABwoIVvaNguShqC1EwogegXJdZtqOmmsw0JRF631mxDk0AzoQQir9lQ0DrbqIAAsFFOjY0qIAAcVcp+AkBzoI6Ai5I6eo6NKhD9osS6jTrz9LuOQOR1a83WqbxjowpEXrNRzfW7voAAsL6hFsYQEACOgTbQQwSAAy18Q8N2UdIQpGZCCUS/KLFuQ003nW1IIPK6tWYbmgSaCSUQec2GgtbZRgUEgI1yamxUAQHgqFL2EwCaA3UEXJTU0XNsVIHoFyXWbdSZp991BCKvW2u2TuUdG1Ug8pqNaq7f9QUEgPUNtTCGgABwDLSBHiIAHGjhGxq2i5KGIDUTSiD6RYl1G2q66WxDApHXrTXb0CTQTCiByGs2FLTONiogAGyUU2OjCggAR5WynwDQHKgj4KKkjp5jowpEvyixbqPOPP2uIxB53VqzdSrv2KgCkddsVHP9ri8gAKxvqIUxBASAY6AN9BAB4EAL39CwXZQ0BKmZUALRL0qs21DTTWcbEoi8bq3ZhiaBZkIJRF6zoaB1tlEBAWCjnBobVUAAOKqU/QSA5kAdARcldfQcG1Ug+kWJdRt15ul3HYHI69aarVN5x0YViLxmo5rrd30BAWB9Qy2MIRA1ANxqq63Sgw8+OMaIHTKuwDPPPLOY+TrrrJOWX375cZt03JgC2f3mm28e8+h2DnNR0o67s7YrEP2ixLptd/44ezsCkdetNdvOnHHWdgUir9l25Zy9TQEBYJv6Az531ABw4g+cAZfO0AcssP7666e8diNtLkoiVUtfmxKIflFi3TY1E7QTSSDyurVmI800fW1KIPKabcpAO/EEBIDxataLHkcPAJdbbrk0d+7cXtSi64OYP39+euyxxxbp5sorr5zmzJnT9a73pn/z5s1LCxYsSALA3pTUQHouEP2iRJjQ8wlqeNMKRF631qxJPUSByGt2iPUy5n8VEACaCa0IRA8AV1lllXTkkUe2Yje0k+bw79RTT11k2EcddVTKIaCtjEDkP3BclJSZI87SLYHIazZLWrfdmk96U0Yg8rq1ZsvMEWfplkDkNdstSb0pKSAALKntXAsFBIAmw6gCAsBRpWZvv8h/4Lgomb15oeXuCkReswLA7s4rPZtdgcjr1nft7M4NrXdTIPKa7aaoXpUQEACWUHaOxQQEgCbFqAICwFGlZm+/yH/guCiZvXmh5e4KRF6zAsDuzis9m12ByOvWd+3szg2td1Mg8prtpqhelRAQAJZQdg4BoDkwtoAAcGy6xg6M/AeOi5LGpoGGAglEXrMCwEATTVcbFYi8bn3XNjoVNBZEIPKaDUKsm7MgIACcBVRNLl3ALwCXbmSPfxUQALY/EyL/geOipP35owflBSKvWQFg+fnijN0QiLxufdd2Yw7pRVmByGu2rJSzdUlAANilagyoLwLAARW75lAFgDUBGzg88h84LkoamACaCCcQec0KAMNNNx1uSCDyuvVd29Ak0EwogchrNhS0zjYqIABslFNjowoIAEeVsp8AsP05EPkPHBcl7c8fPSgvEHnNCgDLzxdn7IZA5HXru7Ybc0gvygpEXrNlpZytSwICwC5VY0B9EQAOqNg1hyoArAnYwOGR/8BxUdLABNBEOIHIa1YAGG666XBDApHXre/ahiaBZkIJRF6zoaB1tlEBAWCjnBobVUAAOKqU/QSA7c+ByH/guChpf/7oQXmByGtWAFh+vjhjNwQir1vftd2YQ3pRViDymi0r5WxdEhAAdqkaA+qLAHBAxa45VAFgTcAGDo/8B46LkgYmgCbCCUReswLAcNNNhxsSiLxufdc2NAk0E0og8poNBa2zjQoIABvl1NioAgLAUaXsJwBsfw5E/gPHRUn780cPygtEXrMCwPLzxRm7IRB53fqu7cYc0ouyApHXbFkpZ+uSgACwS9UYUF8EgAMqds2hCgBrAjZweOQ/cFyUNDABNBFOIPKaFQCGm2463JBA5HXru7ahSaCZUAKR12woaJ1tVEAA2CinxkYVEACOKmU/AWD7cyDyHzguStqfP3pQXiDymhUAlp8vztgNgcjr1ndtN+aQXpQViLxmy0o5W5cEBIBdqsaA+iIAHFCxaw5VAFgTsIHDI/+B46KkgQmgiXACkdesADDcdNPhhgQir1vftQ1NAs2EEoi8ZkNB62yjAgLARjk1NqqAAHBUKfsJANufA5H/wHFR0v780YPyApHXrACw/Hxxxm4IRF63vmu7MYf0oqxA5DVbVsrZuiQgAOxSNQbUFwHggIpdc6gCwJqADRwe+Q8cFyUNTABNhBOIvGYFgOGmmw43JBB53fqubWgSaCaUQOQ1GwpaZxsVEAA2yqmxUQUEgKNK2U8A2P4ciPwHjouS9uePHpQXiLxmBYDl54szdkMg8rr1XduNOaQXZQUir9myUs7WJQEBYJeqMaC+CAAHVOyaQxUA1gRs4PDIf+C4KGlgAmginEDkNSsADDfddLghgcjr1ndtQ5NAM6EEIq/ZUNA626iAALBRTo2NKiAAHFXKfgLA9udA5D9wXJS0P3/0oLxA5DUrACw/X5yxGwKR163v2m7MIb0oKxB5zZaVcrYuCQgAu1SNAfVFADigYtccqgCwJmADh0f+A8dFSQMTQBPhBCKvWQFguOmmww0JRF63vmsbmgSaCSUQec2GgtbZRgUEgI1yamxUAQHgqFL2EwC2Pwci/4HjoqT9+aMH5QUir1kBYPn54ozdEIi8bn3XdmMO6UVZgchrtqyUs3VJQADYpWoMqC8CwAEVu+ZQBYA1ARs4PPIfOC5KGpgAmggnEHnNCgDDTTcdbkgg8rr1XdvQJNBMKIHIazYUtM42KiAAbJRTY6MKCABHlbKfALD9ORD5DxwXJe3PHz0oLxB5zQoAy88XZ+yGQOR167u2G3NIL8oKRF6zZaWcrUsCAsAuVWNAfREADqjYNYcqAKwJ2MDhkf/AcVHSwATQRDiByGtWABhuuulwQwKR163v2oYmgWZCCURes6GgdbZRAQFgo5waG1VAADiqlP0EgO3Pgch/4LgoaX/+6EF5gchrVgBYfr44YzcEIq9b37XdmEN6UVYg8potK+VsXRIQAHapGgPqiwBwQMWuOVQBYE3ABg6P/AeOi5IGJoAmwglEXrMCwHDTTYcbEoi8bqn+CgAAIABJREFUbn3XNjQJNBNKIPKaDQWts40KCAAb5dTYqAICwFGl7CcAbH8ORP4Dx0VJ+/NHD8oLRF6zAsDy88UZuyEQed36ru3GHNKLsgKR12xZKWfrkoAAsEvVGFBfBIADKnbNoQoAawI2cHjkP3BclDQwATQRTiDymhUAhptuOtyQQOR167u2oUmgmVACkddsKGidbVRAANgop8ZGFRAAjiplPwFg+3Mg8h84Lkranz96UF4g8poVAJafL87YDYHI69Z3bTfmkF6UFYi8ZstKOVuXBASAXarGgPoiABxQsWsOVQBYE7CBwyP/geOipIEJoIlwApHXrAAw3HTT4YYEIq9b37UNTQLNhBKIvGZDQetsowICwEY5NTaqgABwVCn7CQDbnwOR/8BxUdL+/NGD8gKR16wAsPx8ccZuCERet75ruzGH9KKsQOQ1W1bK2bokIADsUjUG1BcB4ICKXXOoAsCagA0cHvkPHBclDUwATYQTiLxmBYDhppsONyQQed36rm1oEmgmlEDkNRsKWmcbFRAANsqpsVEFBICjStlPANj+HIj8B46Lkvbnjx6UF4i8ZgWA5eeLM3ZDIPK69V3bjTmkF2UFIq/ZslLO1iUBAWCXqjGgvggAB1TsmkMVANYEbODwyH/guChpYAJoIpxA5DUrAAw33XS4IYHI69Z3bUOTQDOhBCKv2VDQOtuogACwUU6NjSogABxVyn4CwPbnQOQ/cFyUtD9/9KC8QOQ1KwAsP1+csRsCkdet79puzCG9KCsQec2WlXK2Lgn0OgB85JFH0mWXXZZuuummdPPNN6f7778//elPf0pPPPFEWnXVVdNmm22Wdt5557Tffvul1Vdffal1ufzyy9PZZ5+dbrzxxqqdNddcM22zzTbpwAMPTG984xuXenze4fHHH0+nn356uuiii9I999yT/v73v6cNNtgg7bLLLukDH/hA2nDDDUdq584770xf+MIX0pVXXlmNa+7cuWnTTTdNe++9dzWeFVZYYaR2LrjggnTuueem2267Lf3lL39J66yzTtp+++3TIYcckl796leP1MY4OwkAx1Eb5jECwPbrHvkPHBcl7c8fPSgvEHnNCgDLzxdn7IZA5HXru7Ybc0gvygpEXrNlpZytSwK9DgBzOPbv//2/X6r3Gmuskf77f//v6Q1veMO0+y5YsCAddNBBVfg305ZDwC996UtpueWWm3Gfe++9twr67rrrrmn3ed7znpfOP//8KpRc0vblL3+5Cuj+9re/TbtbDu4uueSSJYaaTz75ZHrHO95R7TfdNmfOnHTcccelY489dql+4+wgABxHbZjHCADbr3vkP3BclLQ/f/SgvEDkNSsALD9fnLEbApHXre/abswhvSgrEHnNlpVyti4J9D4A/E//6T+lnXbaKW255ZbVL+3WXXfdNH/+/JQDqG9+85vp4osvTs8880x69rOfXf1S8GUve9li9fnoRz+aTjzxxOq/b7HFFunoo49OL3rRi1IO9E455ZR06623Vp/l/T71qU9NW9958+alrbfeOv3yl7+sPj/ggAPSHnvskVZcccV09dVXp5NOOinlfVZaaaV0/fXXT9uPfNz3v//9KiDMY1h77bWrc77qVa9Kf/7zn9M555xTjSdvr3nNa6p2c5A33ZZ/KZjDxrxln8MOOyytt9566fbbb6/GmseWt9zm/vvv3/icFQA2TtrbBgWA7Zc28h84Lkranz96UF4g8prNWtZt+TnjjO0LRF631mz780cPygtEXrPltZyxKwK9DgBzsLf88ssv0fo73/lO+g//4T9U+/zH//gf07e+9a1F9s+36eZba59++um01VZbpWuvvbYK7Sa2fEvvDjvsUN1inG+7zQFfDgenbvnXdMcff3z1n3NoeNRRRy2ySw79cmiXz5MDuR/+8IeLtZE/y33JfXruc5+bbrnllsXOlX8ZeMYZZ1THfvWrX0377LPPYu1cc801accdd6z++2677Za+/e1vL+L00EMPVYHpfffdl1ZbbbX061//urpluslNANikZr/bEgC2X9/If+C4KGl//uhBeYHIazZrWbfl54wzti8Qed1as+3PHz0oLxB5zZbXcsauCPQ6ABwVOYdqObjLtwLnZ/tN3iYHajmkm+65eDfccEPadtttq8MOPfTQ6tl8k7ennnoqrbXWWunhhx+uArw77rhj2l/m5duMzzrrrOrQHCjmEG7ylp8b+M53vrP6T/kXgx/60IcWG2IOJPOXcH6e30tf+tLqF31Tt3wbcn42Yg5Hf/vb31b7T93yswH33HPP6j9/5jOfSUceeeSonCPtJwAciclOKSUBYPvTIPIfOC5K2p8/elBeIPKazVrWbfk544ztC0Ret9Zs+/NHD8oLRF6z5bWcsSsCAsCUql/2/a//9b+qF2k8+uijC2uTn/2XbxvOL9l4yUtekn7xi1/MWLf8eX62X/4CzL+cm/wswB/84Afp9a9/fXXspz/96fTBD35w2nYmB4kf+chH0gknnLDIfpNv233ggQeqF3ZMt00OEu++++608cYbL9wt32acg878/MD84pLvfe9707aRX06SX3KSX6Sy3XbbpZ/85CeNzlkBYKOcvW5MANh+eSP/geOipP35owflBSKvWQFg+fnijN0QiLxufdd2Yw7pRVmByGu2rJSzdUlg8AFgDvX+8R//sXoOYA4C83MAJ7Z86+vE7bzvfe97q5d8zLTlzydeEpKP22ijjRbu+rGPfSx98pOfrP59pl8R5s/yLb75VtsceOTbgfOtupO3/Ibg3/3ud2mTTTZZ+CzB6frzjW98I+21117VR1/5ylfSvvvuu3C3fGvx6173uurfZ/oV4cTO+aUoV1xxRXVrc/5l4bOe9azG5q4AsDHK3jckAGy/xJH/wHFR0v780YPyApHXbNaybsvPGWdsXyDyurVm258/elBeIPKaLa/ljF0RGGQAmMOs/Ku+7373u9Xz+P7whz9U9fja176W3vWudy2szaWXXpp23XXX6t8///nPp8MPP3zGuuXPjzjiiOrzfNzkN/nmt+3mF47kLd+au6Tn6b385S9Pt912W/Xruz/+8Y8Lz5d/uZef+5d/lfiWt7wl5WcXzrTll5K88pWvrD7OzxrMY5zYTj/99Oo25bzlZ/+99a1vnbGd/GKQ0047rfr8zjvvTJtttllj81YA2Bhl7xsSALZf4sh/4LgoaX/+6EF5gchrNmtZt+XnjDO2LxB53Vqz7c8fPSgvEHnNltdyxq4IDCYAPO+88xb5JdzUAvyX//JfqqBs8q27+Rd/73vf+6pd8/P33v72t89Ytxzw5aAvb/m4/IvAiS0/N/CnP/1pWnnllas3/S5py4FjDhDz9uSTT6bnPOc51T/nZxTm5wfmLT+X8Itf/OKMzeSXeOQAMW/5TcP5F4ETW35u4Mknn1z9a/61Y/7V40xbfvbfxMtKLr/88pR/ETjqlgO+JW35FuZtttmm2iX/qnG65xCOeq6S+/kDp6T2v55LAFjefOoZI/+BY822P3/0oLxA5DWbtazb8nPGGdsXiLxurdn2548elBeIvGbLazljVwQGHwC+4hWvqAK7V73qVYvV5NRTT01HH3109d/zs/LyM/Nm2vLnE7/6m/rSjM033zz9/Oc/T2uvvXZ68MEHl1j73XffPV144YXVPjnIW3311at/zmHdRGCWnyGYnyU40/bEE0+klVZaqfo4B4r5l44T2+SXmuTbn/OzC2fazjzzzHTwwQdXH+eA821ve9vI83ZykLq0gwSASxMa9ucCwPbrH/kPHBcl7c8fPSgvEHnNZi3rtvycccb2BSKvW2u2/fmjB+UFIq/Z8lrO2BWBwQSA+Q28E79KywHZvffeWwVt+TbY/Jy/f/7nf154u+9EcfJz+/Lz+/J21VVXpde+9rUz1m3ys/Xyccccc8zCfXP7+bmA+YUi+QUhS9r22Wef6lbkvE0Oxn784x9XzwXM27HHHps+8YlPzNjM/Pnzqzf85i0/7+/KK69cuO9+++1XPRcwb9nghS984Yzt5P3y/nmbenv00iawAHBpQj4fVUAAOKrU7O0X+Q8cFyWzNy+03F2ByGs2q1q33Z1bejZ7ApHXrTU7e/NCy90ViLxmu6uqZ7MtMJgAcCbIHGy9+93vrm79/fKXv5ze8573LNzVLwDH/wWgW4Bne+kOp30BYPu1jvwHjouS9uePHpQXiLxmBYDl54szdkMg8rr1XduNOaQXZQUir9myUs7WJYHBB4C5GBO33eZn9OVf3a222mpVjTwDcPxnAC5tknsJyNKEfD4hIABsfy5E/gPHRUn780cPygtEXrMCwPLzxRm7IRB53fqu7cYc0ouyApHXbFkpZ+uSgAAwpXT++eenvffeu6rL17/+9bTXXntV/3zJJZek3XbbrfrnOm8Bzi8P+da3vlW1U+ctwKusskrVRp23AOeXh7z//e+v2vEW4GVfiv7AWXazukcIAOsK1j8+8h841mz9+mshnkDkNSsAjDff9LgZgcjr1ndtM3NAK7EEIq/ZWNJ626SAADCl9IMf/CC9/vWvr1xPPPHE9OEPf7j65/zcvvz8vrzlt/rmXwTOtOXPzz777IXHbbTRRgt3zc8RzM8FzNv111+f8luBp9uefvrptOqqq1ZvPc3P+7vmmmsW2W3DDTesfqG4ySabVG8FnmnLb/2dCDHzc/z23XffhbtOflbhSSedlPJbgWfa8lt/r7jiirTCCitUfXr2s5/d2NzzC8DGKHvfkACw/RJH/gPHRUn780cPygtEXrNZy7otP2ecsX2ByOvWmm1//uhBeYHIa7a8ljN2RUAAmFI677zzFoZkp5122sJfyC1YsKD6I/T3v/999bbc/NbcmbZNN920CuXWX3/9KqSb/BKMHKLlMC1v+e29+S2+02033HBD2nbbbauPcgiZw8jJWw71criXtwceeCCts84607Zz0EEHpbPOOqv67K677kovfvGLF+736KOPpjXWWCP9/e9/r95qnN9ePN2WP19zzTXTI488UvXpuuuua3TOCgAb5ex1YwLA9ssb+Q8cFyXtzx89KC8Qec1mLeu2/JxxxvYFIq9ba7b9+aMH5QUir9nyWs7YFQEBYEppl112SZdddllVk6uvvjrtuOOOC+tz8MEHpzPPPLP695l+vTc5uMv7n3766YvUN4dpa621VvrrX/+aclB45513LhIQTuw8Obi78cYb09Zbb71IO/mtxfl5hXmb6dd7jz/+ePWHc77VeLPNNqvONXXbeeedq+Av/7LvN7/5TbX/1O2CCy5Ie+65Z/WfTznllHTUUUc1OmcFgI1y9roxAWD75Y38B46Lkvbnjx6UF4i8ZrOWdVt+zjhj+wKR16012/780YPyApHXbHktZ+yKQK8DwPzLvj322CP9m3/zb2b0zs/2O+KII6rPX/CCF6Rf/epXVTA2sd19991p8803T/n23K222ipde+3/x96bAOtVVen7m7lJGGUIYgGNgowlIhAMCDEOqAxqNzJGUSpMAgqtDYoQBJXZKhVlCirY/sQUKFpCEBAEQiMxSZFmFkwUYykaUCICQdDwr33u/6ZuyL3Jd/Y+31n7Pes5VV3d5H5777Wetd7ee7/1DdPDmmuuueTvixYtqj6uO3v27GrcI488Erbeeutl1hv6MeDhDLVoLsZ54jrjx48Pd9555zJzvPzyy5WBOG/evLDOOuuE++67b8lHlAdffMIJJ4RLL720+s+rrrpqqV81HnzN0I8Bv//97w/XX399WGWVVZas9/TTT4dddtklzJ8/v/pIcvwo9OAPozTVuBiATZHs/jwYgPY1Vj7gcCmx7x8iaJ+AsmYxANvvF1Ysg4Cybtlry+ghomiXgLJm2yXFaiUR6LQBGA29+JHXAw88MLztbW+rzLK11lqr+rcHH3yw+sGPe+65p6pH/H67adOmhXe9613L1Cd+HDd+dDc+O++8c/UR3jhXNOIuuOCCMGfOnOpvw31sd3CyuGY0EKOhGJ9jjjmmMiejmRjfdRg/7vvcc89V/x0/bvvmN7952D6J71SMP0yyePHiMGbMmHDGGWeEsWPHVu/4u/LKK5f82EjMN5qIQ429oRPGd/fFd/nFZ8KECeHkk08Om266acXlnHPOqXKLT/zew/j9hk0/GIBNE+3ufBiA9rVVPuBwKbHvHyJon4CyZiMtdNt+z7CiPQFl3aJZ+/4hgvYJKGu2fVqsWAqBzhuAv/vd71bIOm5a8ccy3v3udw/72mi2HX300dVrRnomTZpU/QjIyiuvPOJr5s6dG+LHb+O7DId74rv6oim5//77LzfmaPSdeOKJ1ff4DfdEQzCamfG7/kZ64jsX468TD370+dWvi3lMnjw5nHXWWSvkl/ICDMAUaj7HYADa1135gMOlxL5/iKB9AsqaxQBsv19YsQwCyrplry2jh4iiXQLKmm2XFKuVRKDTBmB8F9ttt91WvcMu/oDHn//85/CXv/yl+khwfPdcfJddNNsOPvjgMGrUqBXWJZpl0eSbNWtWiB+TjQZb/J6++A65973vfSscH18QzYz4HYHXXXddiIZgNPE222yzyhg86aSTwhZbbNHTPA899FCIP1hy++23Vz9SMnr06OrjwRMnTgxHHXXUUh9jXt6E11xzTfUjKPfff39YuHBhxWWvvfaqDMbBHyTpKaCaL8IArAnM8csxAO2Lr3zA4VJi3z9E0D4BZc1iALbfL6xYBgFl3bLXltFDRNEuAWXNtkuK1Uoi0GkDsCTQxLI0AQxAOqJXAhiAvZLq3+uUDzhcSvrXF8xcLgFlzWIAlttXRNZfAsq6Za/tb28we5kElDVbJlGiaoMABmAblFljGQIYgDRFrwQwAHsl1b/XKR9wuJT0ry+YuVwCyprFACy3r4isvwSUdcte29/eYPYyCShrtkyiRNUGAQzANiizBgYgPZBMAAMwGV1jA5UPOFxKGmsDJhIioKxZDEChRiPURgko65a9ttFWYDIRAsqaFUFMmH0ggAHYB6hMuWICvANwxYx4xQABDED7TlA+4HApse8fImifgLJmMQDb7xdWLIOAsm7Za8voIaJol4CyZtslxWolEcAALKkajmLBAHRU7MxUMQAzATYwXPmAw6WkgQZgCjkCyprFAJRrNwJuiICybtlrG2oCppEioKxZKdAE2ygBDMBGcTJZrwQwAHslxeswAO17QPmAw6XEvn+IoH0CyprFAGy/X1ixDALKumWvLaOHiKJdAsqabZcUq5VEAAOwpGo4igUD0FGxM1PFAMwE2MBw5QMOl5IGGoAp5AgoaxYDUK7dCLghAsq6Za9tqAmYRoqAsmalQBNsowQwABvFyWS9EsAA7JUUr8MAtO8B5QMOlxL7/iGC9gkoaxYDsP1+YcUyCCjrlr22jB4iinYJKGu2XVKsVhIBDMCSquEoFgxAR8XOTBUDMBNgA8OVDzhcShpoAKaQI6CsWQxAuXYj4IYIKOuWvbahJmAaKQLKmpUCTbCNEsAAbBQnk/VKAAOwV1K8DgPQvgeUDzhcSuz7hwjaJ6CsWQzA9vuFFcsgoKxb9toyeogo2iWgrNl2SbFaSQQwAEuqhqNYMAAdFTszVQzATIANDFc+4HApaaABmEKOgLJmMQDl2o2AGyKgrFv22oaagGmkCChrVgo0wTZKAAOwUZxM1isBDMBeSfE6DED7HlA+4HApse8fImifgLJmMQDb7xdWLIOAsm7Za8voIaJol4CyZtslxWolEcAALKkajmLBAHRU7MxUMQAzATYwXPmAw6WkgQZgCjkCyprFAJRrNwJuiICybtlrG2oCppEioKxZKdAE2ygBDMBGcTJZrwQwAHslxeswAO17QPmAw6XEvn+IoH0CyprFAGy/X1ixDALKumWvLaOHiKJdAsqabZcUq5VEAAOwpGo4igUD0FGxM1PFAMwE2MBw5QMOl5IGGoAp5AgoaxYDUK7dCLghAsq6Za9tqAmYRoqAsmalQBNsowQwABvFyWS9EsAA7JUUr8MAtO8B5QMOlxL7/iGC9gkoaxYDsP1+YcUyCCjrlr22jB4iinYJKGu2XVKsVhIBDMCSquEoFgxAR8XOTBUDMBNgA8OVDzhcShpoAKaQI6CsWQxAuXYj4IYIKOuWvbahJmAaKQLKmpUCTbCNEsAAbBQnk/VKAAOwV1K8DgPQvgeUDzhcSuz7hwjaJ6CsWQzA9vuFFcsgoKxb9toyeogo2iWgrNl2SbFaSQQwAEuqhqNYMAAdFTszVQzATIANDFc+4HApaaABmEKOgLJmMQDl2o2AGyKgrFv22oaagGmkCChrVgo0wTZKAAOwUZxM1isBDMBeSfE6DED7HlA+4HApse8fImifgLJmMQDb7xdWLIOAsm7Za8voIaJol4CyZtslxWolEcAALKkajmLBAHRU7MxUMQAzATYwXPmAw6WkgQZgCjkCyprFAJRrNwJuiICybtlrG2oCppEioKxZKdAE2ygBDMBGcTJZrwQwAHslxeswAO17QPmAw6XEvn+IoH0CyprFAGy/X1ixDALKumWvLaOHiKJdAsqabZcUq5VEAAOwpGo4igUD0FGxM1PFAMwE2MBw5QMOl5IGGoAp5AgoaxYDUK7dCLghAsq6Za9tqAmYRoqAsmalQBNsowQwABvFyWS9EsAA7JUUr8MAtO8B5QMOlxL7/iGC9gkoaxYDsP1+YcUyCCjrlr22jB4iinYJKGu2XVKsVhIBDMCSquEoFgxAR8XOTBUDMBNgA8OVDzhcShpoAKaQI6CsWQxAuXYj4IYIKOuWvbahJmAaKQLKmpUCTbCNEsAAbBQnk/VKAAOwV1K8DgPQvgeUDzhcSuz7hwjaJ6CsWQzA9vuFFcsgoKxb9toyeogo2iWgrNl2SbFaSQQwAEuqhqNYMAAdFTszVQzATIANDFc+4HApaaABmEKOgLJmMQDl2o2AGyKgrFv22oaagGmkCChrVgo0wTZKAAOwUZxM1isBDMBeSfE6DED7HlA+4HApse8fImifgLJmMQDb7xdWLIOAsm7Za8voIaJol4CyZtslxWolEcAALKkajmLBAHRU7MxUMQAzATYwXPmAw6WkgQZgCjkCyprFAJRrNwJuiICybtlrG2oCppEioKxZKdAE2ygBDMBGcTJZrwQwAHslxeswAO17QPmAw6XEvn+IoH0CyprFAGy/X1ixDALKumWvLaOHiKJdAsqabZcUq5VEAAOwpGo4igUD0FGxM1PFAMwE2MBw5QMOl5IGGoAp5AgoaxYDUK7dCLghAsq6Za9tqAmYRoqAsmalQBNsowQwABvFyWS9EsAA7JUUr8MAtO8B5QMOlxL7/iGC9gkoaxYDsP1+YcUyCCjrlr22jB4iinYJKGu2XVKsVhIBDMCSquEoFgxAR8XOTBUDMBNgA8OVDzhcShpoAKaQI6CsWQxAuXYj4IYIKOuWvbahJmAaKQLKmpUCTbCNEsAAbBQnk/VKAAOwV1Ldf90vfvGLcO+9946Y6CuvvBKee+65pf6+1lprhZVWWmm5cMaNGxf22GOP7gNsIUPlAw6XkhYahCWKI6CsWQzA4tqJgFoioKxb9tqWmoRliiKgrNmiQBJMqwQwAFvFzWKDBDAA6YVBAnfccUe46667Ggcyfvz4MGHChMbn9Tih8gGHS4nHjiVnZc1iANK/Xgko65a91mvX+s5bWbO+K+c7ewxA3/U3yx4D0Ax9cQuv6B2AqQHzDsBUcsuOUz7gcClprg+YSYeAsmYxAHX6jEibJaCsW/baZnuB2TQIKGtWgzBR9oMABmA/qDLnCglgAK4QES+AQDEElA84XEqKaSMCaZGAsmYxAFtsFJYqioCybtlri2olgmmJgLJmW0LEMgUSwAAssCgeQsIA9FBlcuwKAeUDDpeSrnQhedQhoKxZDMA6lea1XSKgrFv22i51Irn0SkBZs73myOu6RwADsHs1lcgIA1CiTAQJgYqA8gGHSwlN7JGAsmYxAD12LDmz19IDENAjoL7X6hEn4iYIYAA2QZE5ahPAAKyNjAEQMCOgfMDBADRrGxY2JKCsWQxAw8ZhaVMCyrplrzVtHRY3IqCsWSNkLFsAAQzAAorgMQQMQI9VJ2dVAsoHHC4lql1H3DkElDWLAZhTecYqE1DWLXutcucReyoBZc2m5sw4fQIYgPo1lMwAA1CybATtlIDyAYdLidOmdZ62smYxAJ03r+P0lXXLXuu4cR2nrqxZx2VznzoGoPsWsAGAAWjDnVUhkEJA+YDDpSSl4oxRJ6CsWQxA9e4j/lQCyrplr02tOuOUCShrVpk7secRwADM48foRAIYgIngGAYBAwLKBxwuJQYNw5LmBJQ1iwFo3j4EYERAWbfstUZNw7KmBJQ1awqOxU0JYACa4ve7OAag39qTuR4B5QMOlxK9fiPifALKmsUAzK8/M2gSUNYte61mzxF1HgFlzeZlzmhlAhiAytUTjh0DULh4hO6OgPIBh0uJu3Yl4RCCsmYxAGlhrwSUdcte67VrfeetrFnflfOdPQag7/qbZY8BaIaehSFQm4DyAYdLSe1yM6ADBJQ1iwHYgQYkhSQCyrplr00qOYPECShrVhw94WcQwADMgMfQdAIYgOnsGAmBtgkoH3C4lLTdLaxXAgFlzWIAltBBxGBBQFm37LUWHcOa1gSUNWvNjvXtCGAA2rF3vTIGoOvyk7wYAeUDDpcSsWYj3EYIKGsWA7CRFmASQQLKumWvFWw4Qs4moKzZ7OSZQJYABqBs6bQDxwDUrh/R+yKgfMDhUuKrV8l2gICyZjEA6WKvBJR1y17rtWt9562sWd+V8509BqDv+ptljwFohp6FIVCbgPIBh0tJ7XIzoAMElDWLAdiBBiSFJALKumWvTSo5g8QJKGtWHD3hZxDAAMyAx9B0AhiA6ewYCYG2CSgfcLiUtN0trFcCAWXNYgCW0EHEYEFAWbfstRYdw5qaM5VYAAAgAElEQVTWBJQ1a82O9e0IYADasXe9Mgag6/KTvBgB5QMOlxKxZiPcRggoaxYDsJEWYBJBAsq6Za8VbDhCziagrNns5JlAlgAGoGzptAPHANSuH9H7IqB8wOFS4qtXyXaAgLJmMQDpYq8ElHXLXuu1a33nraxZ35XznT0GoO/6m2WPAWiGnoUhUJuA8gGHS0ntcjOgAwSUNYsB2IEGJIUkAsq6Za9NKjmDxAkoa1YcPeFnEMAAzIDH0HQCGIDp7BgJgbYJKB9wuJS03S2sVwIBZc1iAJbQQcRgQUBZt+y1Fh3DmtYElDVrzY717QhgANqxd70yBqDr8pO8GAHlAw6XErFmI9xGCChrFgOwkRZgEkECyrplrxVsOELOJqCs2ezkmUCWAAagbOm0A8cA1K4f0fsioHzA4VLiq1fJdoCAsmYxAOlirwSUdcte67VrfeetrFnflfOdPQag7/qbZY8BaIaehSFQm4DyAYdLSe1yM6ADBJQ1iwHYgQYkhSQCyrplr00qOYPECShrVhw94WcQwADMgMfQdAIYgOnsGAmBtgkoH3C4lLTdLaxXAgFlzWIAltBBxGBBQFm37LUWHcOa1gSUNWvNjvXtCGAA2rF3vTIGoOvyk7wYAeUDDpcSsWYj3EYIKGsWA7CRFmASQQLKumWvFWw4Qs4moKzZ7OSZQJYABqBs6bQDxwDUrh/R+yKgfMDhUuKrV8l2gICyZjEA6WKvBJR1y17rtWt9562sWd+V8509BqDv+ptljwFohp6FIVCbgPIBh0tJ7XIzoAMElDWLAdiBBiSFJALKumWvTSo5g8QJKGtWHD3hZxDAAMyAx9B0AhiA6ewYCYG2CSgfcLiUtN0trFcCAWXNYgCW0EHEYEFAWbfstRYdw5rWBJQ1a82O9e0IYADasXe9Mgag6/KTvBgB5QMOlxKxZiPcRggoaxYDsJEWYBJBAsq6Za8VbDhCziagrNns5JlAlgAGoGzptAPHANSuH9H7IqB8wOFS4qtXyXaAgLJmMQDpYq8ElHXLXuu1a33nraxZ35XznT0GoO/6m2WPAWiGnoUhUJuA8gGHS0ntcjOgAwSUNYsB2IEGJIUkAsq6Za9NKjmDxAkoa1YcPeFnEMAAzIDH0HQCGIDp7BgJgbYJKB9wuJS03S2sVwIBZc1iAJbQQcRgQUBZt+y1Fh3DmtYElDVrzY717QhgANqxd70yBqDr8pO8GAHlAw6XErFmI9xGCChrFgOwkRZgEkECyrplrxVsOELOJqCs2ezkmUCWAAagbOm0A8cA1K4f0fsioHzA4VLiq1fJdoCAsmYxAOlirwSUdcte67VrfeetrFnflfOdPQag7/qbZY8BaIaehSFQm4DyAYdLSe1yM6ADBJQ1iwHYgQYkhSQCyrplr00qOYPECShrVhw94WcQwADMgMfQdAIYgOnsGAmBtgkoH3C4lLTdLaxXAgFlzWIAltBBxGBBQFm37LUWHcOa1gSUNWvNjvXtCGAA2rF3vTIGoOvyk7wYAeUDDpcSsWYj3EYIKGsWA7CRFmASQQLKumWvFWw4Qs4moKzZ7OSZQJYABqBs6bQDxwDUrh/R+yKgfMDhUuKrV8l2gICyZjEA6WKvBJR1y17rtWt9562sWd+V8509BqDv+ptljwFohp6FIVCbgPIBh0tJ7XIzoAMElDWLAdiBBiSFJALKumWvTSo5g8QJKGtWHD3hZxDAAMyAx9B0AhiA6ewYCYG2CSgfcLiUtN0trFcCAWXNYgCW0EHEYEFAWbfstRYdw5rWBJQ1a82O9e0IYADasXe9Mgag6/KTvBgB5QMOlxKxZiPcRggoaxYDsJEWYBJBAsq6Za8VbDhCziagrNns5JlAlgAGoGzptAPHANSuH9H7IqB8wOFS4qtXyXaAgLJmMQDpYq8ElHXLXuu1a33nraxZ35XznT0GoO/6m2WPAWiGnoUhUJuA8gGHS0ntcjOgAwSUNYsB2IEGJIUkAsq6Za9NKjmDxAkoa1YcPeFnEMAAzIDH0HQCGIDp7BgJgbYJKB9wuJS03S2sVwIBZc1iAJbQQcRgQUBZt+y1Fh3DmtYElDVrzY717QhgANqxd70yBqDr8pO8GAHlAw6XErFmI9xGCChrFgOwkRZgEkECyrplrxVsOELOJqCs2ezkmUCWAAagbOm0A8cA1K4f0fsioHzA4VLiq1fJdoCAsmYxAOlirwSUdcte67VrfeetrFnflfOdPQag7/qbZY8BaIaehSFQm4DyAYdLSe1yM6ADBJQ1iwHYgQYkhSQCyrplr00qOYPECShrVhw94WcQwADMgMfQdAIYgOnsGAmBtgkoH3C4lLTdLaxXAgFlzWIAltBBxGBBQFm37LUWHcOa1gSUNWvNjvXtCGAA2rF3vTIGoOvyk7wYAeUDDpcSsWYj3EYIKGsWA7CRFmASQQLKumWvFWw4Qs4moKzZ7OSZQJYABqBs6bQDxwDUrh/R+yKgfMDhUuKrV8l2gICyZjEA6WKvBJR1y17rtWt9562sWd+V8509BqDv+ptljwFohp6FIVCbgPIBh0tJ7XIzoAMElDWLAdiBBiSFJALKumWvTSo5g8QJKGtWHD3hZxDAAMyAx9B0AhiA6ewYCYG2CSgfcLiUtN0trFcCAWXNYgCW0EHEYEFAWbfstRYdw5rWBJQ1a82O9e0IYADasXe9Mgag6/KTvBgB5QMOlxKxZiPcRggoaxYDsJEWYBJBAsq6Za8VbDhCziagrNns5JlAlgAGoGzptAPHANSuH9H7IqB8wOFS4qtXyXaAgLJmMQDpYq8ElHXLXuu1a33nraxZ35XznT0GoO/6m2WPAWiGnoUhUJuA8gGHS0ntcjOgAwSUNYsB2IEGJIUkAsq6Za9NKjmDxAkoa1YcPeFnEMAAzIDH0HQCGIDp7BgJgbYJKB9wuJS03S2sVwIBZc1iAJbQQcRgQUBZt+y1Fh3DmtYElDVrzY717QhgANqxd70yBqDr8pO8GAHlAw6XErFmI9xGCChrFgOwkRZgEkECyrplrxVsOELOJqCs2ezkmUCWAAagbOm0A8cA1K4f0fsioHzA4VLiq1fJdoCAsmYxAOlirwSUdcte67VrfeetrFnflfOdPQag7/qbZY8BaIaehSFQm4DyAYdLSe1yM6ADBJQ1iwHYgQYkhSQCyrplr00qOYPECShrVhw94WcQwADMgMfQdAIYgOnsGAmBtgkoH3C4lLTdLaxXAgFlzWIAltBBxGBBQFm37LUWHcOa1gSUNWvNjvXtCGAA2rF3vTIGoOvyk7wYAeUDDpcSsWYj3EYIKGsWA7CRFmASQQLKumWvFWw4Qs4moKzZ7OSZQJYABqBs6bQDxwDUrh/R+yKgfMDhUuKrV8l2gICyZjEA6WKvBJR1y17rtWt9562sWd+V8509BqDv+ptljwFohp6FIVCbgPIBh0tJ7XIzoAMElDWLAdiBBiSFJALKumWvTSo5g8QJKGtWHD3hZxDAAMyAx9B0AhiA6ewYCYG2CSgfcLiUtN0trFcCAWXNYgCW0EHEYEFAWbfstRYdw5rWBJQ1a82O9e0IYADasXe9Mgag6/KTvBgB5QMOlxKxZiPcRggoaxYDsJEWYBJBAsq6Za8VbDhCziagrNns5JlAlgAGoGzptAPHANSuH9H7IqB8wOFS4qtXyXaAgLJmMQDpYq8ElHXLXuu1a33nraxZ35XznT0GoO/6m2WPAWiGnoUhUJuA8gGHS0ntcjOgAwSUNYsB2IEGJIUkAsq6Za9NKjmDxAkoa1YcPeFnEMAAzIDH0HQCGIDp7BgJgbYJKB9wuJS03S2sVwIBZc1iAJbQQcRgQUBZt+y1Fh3DmtYElDVrzY717QhgANqxd70yBqDr8pO8GAHlAw6XErFmI9xGCChrFgOwkRZgEkECyrplrxVsOELOJqCs2ezkmUCWAAagbOm0A8cA1K4f0fsioHzA4VLiq1fJdoCAsmYxAOlirwSUdcte67VrfeetrFnflfOdPQag7/qbZY8BaIaehSFQm4DyAYdLSe1yM6ADBJQ1iwHYgQYkhSQCyrplr00qOYPECShrVhw94WcQwADMgMfQdAIYgOnsGAmBtgkoH3C4lLTdLaxXAgFlzWIAltBBxGBBQFm37LUWHcOa1gSUNWvNjvXtCGAA2rF3vTIGoOvyk7wYAeUDDpcSsWYj3EYIKGsWA7CRFmASQQLKumWvFWw4Qs4moKzZ7OSZQJYABqBs6bQDxwDUrh/R+yKgfMDhUuKrV8l2gICyZjEA6WKvBJR1y17rtWt9562sWd+V8509BqDv+ptljwFohp6FIVCbgPIBh0tJ7XIzoAMElDWLAdiBBiSFJALKumWvTSo5g8QJKGtWHD3hZxDAAMyAx9B0AhiA6ewYCYG2CSgfcLiUtN0trFcCAWXNYgCW0EHEYEFAWbfstRYdw5rWBJQ1a82O9e0IYADasXe9Mgag6/KTvBgB5QMOlxKxZiPcRggoaxYDsJEWYBJBAsq6Za8VbDhCziagrNns5JlAlgAGoGzptAPHANSuH9H7IqB8wOFS4qtXyXaAgLJmMQDpYq8ElHXLXuu1a33nraxZ35XznT0GoO/6m2WPAWiGnoUhUJuA8gGHS0ntcjOgAwSUNYsB2IEGJIUkAsq6Za9NKjmDxAkoa1YcPeFnEMAAzIDH0HQCGIDp7BgJgbYJKB9wuJS03S2sVwIBZc1iAJbQQcRgQUBZt+y1Fh3DmtYElDVrzY717QhgANqxd70yBqDr8pO8GAHlAw6XErFmI9xGCChrFgOwkRZgEkECyrplrxVsOELOJqCs2ezkmUCWAAagbOm0A8cA1K4f0fsioHzA4VLiq1fJdoCAsmYxAOlirwSUdcte67VrfeetrFnflfOdPQag7/qbZY8BaIaehSFQm4DyAYdLSe1yM6ADBJQ1iwHYgQYkhSQCyrplr00qOYPECShrVhw94WcQwADMgMfQdAIYgOnsGAmBtgkoH3C4lLTdLaxXAgFlzWIAltBBxGBBQFm37LUWHcOa1gSUNWvNjvXtCHTaALzvvvvCzTffHO6+++7w0EMPhQULFoTVVlstbLrppmGPPfYIkyZNCnvttVfP9ONcU6ZMCTNnzgxPPfVU2GijjcLYsWPDMcccE9773vf2NM8LL7wQLrnkknDdddeFuXPnhpdeeilsttlmYb/99guf/OQnw+abb97TPA8//HD4+te/Hm677bbwhz/8Iay11lphu+22CxMnTqzyWnXVVXuaZ+rUqeGqq64KDzzwQHjmmWfCJptsUjE54YQTwlvf+tae5kh5EQZgCjXGQMCGgPIBh0uJTc+wqi0BZc1iANr2DqvbEVDWLXutXd+wsh0BZc3aUWNlawKdNQDHjx8fpk+fvkK+H/nIR8I3v/nNsPrqq4/42ldeeSUcd9xxlfk30hNNwMsvvzystNJKI75m3rx5ldH32GOPDfuaddddN1xzzTVh3333XW7c3/rWtyqD7h//+Mewr4vG3Y033hg22GCDEed58cUXw0EHHVS9brhn5ZVXDmeddVaYPHnyChmmvAADMIUaYyBgQ0D5gMOlxKZnWNWWgLJmMQBte4fV7Qgo65a91q5vWNmOgLJm7aixsjWBzhqAW221VYiGW3y3XzS64rva4rvr/vWvf4V77723+oLs+M65+Bx22GGV8TbSc/rpp4dzzz23+vPOO+8cTj311PCGN7yhmv/CCy8Mc+bMqf4WX/elL31p2Gmee+65sNtuu4Vf/epX1d+PPvrocOihh4Y111wz3HHHHeG8884L8TWjRo2q4nvTm9407Dy33HJLZRAuXrw4jBkzplpz9913D3/961/DlVdeGa6//vpq3N57713NG4284Z74TsHBnCdMmBBOOumkitWDDz5Y5Rpzi0+c86ijjmq8TzEAG0fKhBDoGwHlAw6Xkr61BRMXTEBZsxErui24uQitbwSUdYtm+9YWTFwwAWXNFoyV0PpMoLMG4P777x+OOOKIcOCBB4ZVVlllGYxPP/102HPPPcPjjz9e/S2+W3C4jwPHj+nGj9b+85//DLvuumv1umjaDT7xI73x3YazZ8+uPnYbDb5oDr76ie+mO/vss6t/jqbhKaecstRLoukXTbu4TjTkfv7zny8zR/xbjCXGtM4664T4EedXrxXfGXjppZdWY7/zne9UDF793HXXXeHtb3979c8HHHBA+NGPfrQUo8hml112CfPnzw/rr79++M1vfhPWW2+9RlsRA7BRnEwGgb4SUD7gcCnpa2sweaEElDUbkaLbQhuLsPpKQFm3aLavrcHkhRJQ1myhSAmrBQKdNQB7YRc//hoNsPjE79/72te+tsywoYZaNOmG+168GTNmhHHjxlVjTzzxxOq7+YY+L7/8cth4443DwoULKwMvfh/hcO/Mix8zvuKKK6qh0VCMJtzQJ35v4MEHH1z9U3zH4Gc/+9ll4o2GZNyE4/f57bjjjtU7+l79xI8h33TTTZXp98QTT1Svf/UTvxswvjMyPl/+8pfDpz/96V6Q9vwaDMCeUfFCCJgTUD7gcCkxbx8CMCCgrNmIC90aNA1LmhNQ1i2aNW8fAjAgoKxZA1wsWQgB1wZg/Mjt2muvXZUimmKv/j68+N1/8Qc64keFt9122/Doo4+OWLb49/jdfnEDjO+cG/pdgD/72c/CPvvsU409//zzw2c+85lh5xlqJH7uc58L55xzzlKvG/qx3SeffLL6wY7hnqFGYnyH49Zbb73kZTHnDTfcsPr+wPjDJT/96U+HnSP+OEn8kZNnn322+sGUe+65p9GWxQBsFCeTQaCvBJQPOFxK+toaTF4oAWXNYgAW2lSE1XcCyrplr+17e7BAgQSUNVsgTkJqiYBrAzB+b97gD2XEdwL+5Cc/WQp7/Ojr4Edsjz322OpHPkZ64t8HfyQkjttyyy2XvPTMM88MX/ziF6v/HuldhPFv8SO+8aO2zz//fPVx4PhR3aFP/A7D3//+92GbbbZZ8l2Cw8Xz/e9/Pxx++OHVn7797W+HI488csnL4keL3/nOd1b/PdK7CAdf/J73vCfceuut1Ueb4zsL4y8oN/VgADZFknkg0H8CygccLiX97w9WKI+AsmYjTXRbXk8RUf8JKOsWzfa/P1ihPALKmi2PJhG1RcC1ARi/++4///M/K9bxO/nid/MNfaZNmxbidwnG5ytf+Uo4+eSTR6xL/PunPvWp6u9x3NBf8o0/QvKDH/yg+lv8aO7yvk9vp512Cg888ED17rsFCxYsWS++cy9+7198V+IHPvCB8OMf/3jEWOKPkrzlLW8ZNq9LLrmk+phyfGL+H/zgB0ecJ/4wyMUXX1z9/eGHHw7bb799Y32JAdgYSiaCQN8JKB9wuJT0vT1YoEACypqNONFtgU1FSH0noKxbNNv39mCBAgkoa7ZAnITUEgG3BmD8Fd34vX0zZ86sUM+aNav6kY+hT3zH38c//vHqn+L3733oQx8asSzR4ItGX3ziuPiOwMEnfm/gL3/5yzB69Ojql36X90TDMRqI8XnxxRfDGmusUf3f8cdF4vcHxid+L+E3vvGNEaeJP+IRDcT4xF8aju8IHHzi9wZecMEFI+Y8dNL43X+DP1Zy8803h/iOwF6faPAt74kfYR47dmz1kviuxuG+h7DXtdp8HQecNmmzVikElA84aLaULiKONgkoazZyQrdtdgtrlUJAWbdotpQuIo42CShrtk1OrFUWAbcGYBTsf//3f1fV+I//+I9w/fXXL1OZiy66KJx66qnVv8fvyovfmTfSE/8++K6/V/9oxg477BAeeeSRMGbMmPCnP/1puR1wyCGHhGuvvbZ6TTTyBj+iHA3KQcMsfodg/C7BkZ5FixaFUaNGVX+OhuINN9yw5KVDf9Qkfqdh/O7CkZ7LLrssHH/88dWfo8EZf1G512fodyCuaAwG4IoI8XcI2BJQPuBwKbHtHVa3IaCs2UgM3dr0DavaElDWLZq17R1WtyGgrFkbYqxaAgGXBmD8br13vetd1XfuxV/njR+5jebcq5/4vX3x+/vic/vtt4d3vOMdI9Zs6HfrxXFnnHHGktfG7xGM3wsYf1Ak/kDI8p4jjjgifPe7361eMtQYu/vuu6vvBYzP5MmTwxe+8IURp4nvboy/8Buf+H1/t91225LXTpo0qfpewPjMmzcvvP71rx9xnvi6+Pr4xJg+/OEP99yzGIA9o+KFECiegPIBh0tJ8e1FgH0goKzZiAPd9qEpmLJ4Asq6RbPFtxcB9oGAsmb7gIMpRQi4MwDjd9nttdde1XfxxY/X3nLLLWH8+PHDlot3AKa/A5CPAIv8fwDChEAPBJQPOFxKeigwL+kcAWXNYgB2rh1JqEcCyrplr+2xyLysUwSUNdupQpBMLQKuDMDf/va34W1ve1v44x//WL1DLn6vX/z470gP3wGY/h2AK+pCfgRkRYT4OwTKIaB8wOFSUk4fEUl7BJQ1iwHYXp+wUlkElHXLXltWLxFNOwSUNdsOIVYpkYAbAzCafvGdf/GjuPHjqVdffXWIH7dd3nPjjTeGAw44oHpJzq8Axx8P+eEPf1jNk/MrwGuvvXY1R86vAMcfD/nEJz5RzcOvANeXJAec+swYoU9A+YCDZvX7jwzqE1DWLAZg/XozohsElHXLXtuNHiSLegSUNVsvU17dJQIuDMD4YxrxY77xhzjiE02w+GMYK3qiWRi/vy8+8Vd94zsCR3ri36dMmVL9OY7bcsstl7w0fo9g/F7A+Nx7770h/irwcE/8TsL11lsvPP/889X3/cXvKhz6bL755tX3Am6zzTbVrwKP9MRf/T388MOrP8fv8TvyyCOXvHTodxWed955If4q8EhP/NXfW2+9Nay66qpVTKuvvvqKkPX8d94B2DMqXggBcwLKBxwuJebtQwAGBJQ1G3GhW4OmYUlzAsq6RbPm7UMABgSUNWuAiyULIdB5A/Bvf/tb9eMd9913X4U8/npu/BXdXp5XXnmlOoTGdw/GX8uNv5o70rPddttVptzrXve6yqQb+iMY0USLZtqK1p8xY0YYN25c9brTTjstnHvuuUstF029aO7F58knnwybbLLJsOEcd9xx4Yorrqj+9thjj4U3vvGNS17397//PWy44YbhpZdeqn7VOP568XBP/PtGG20Unn322SqmX/ziF70g6/k1GIA9o+KFEDAnoHzA4VJi3j4EYEBAWbMRF7o1aBqWNCegrFs0a94+BGBAQFmzBrhYshACnTYAX3jhhbDPPvuEe+65p8J9+umnhy996Uu10B9//PHhsssuq8aM9O69ocZdfP0ll1yy1BrRTIu/NhzNyGgUxh8iGe5XcocadzNnzgy77bbbUvNce+214ZBDDqn+baR378Wc4yYcP2q8/fbbV2u9+tl3330r4y++sy9+L2J8/aufqVOnhsMOO6z65wsvvDCccsoptbit6MUYgCsixN8hUA4B5QMOl5Jy+ohI2iOgrNlICd221yusVA4BZd2i2XL6iEjaI6Cs2fYosVJpBDprAEbTLX5/X3z3XXxOOumk8NWvfrU2/8cffzzssMMOIX48d9dddw3Tp08Pa6655pJ5Fi1aVH1cd/bs2ZWhFj9mvPXWWy+zztCPAQ9nqEVzMc4T14kfV77zzjuXmePll1+uDMR58+aFddZZp3pX4+BHlAdfHD/afOmll1b/edVVV4WPfexjy8wz9GPA73//+8P1119f/SjK4BM/Mr3LLruE+fPnVx9Jjh9pXn/99WuzW94ADMBGcTIZBPpKQPmAw6Wkr63B5IUSUNYsBmChTUVYfSegrFv22r63BwsUSEBZswXiJKSWCHTWADzwwAMrYys+8SPA0fwb7l13g5zj99sN/ajsUP7x47jxo8Px2XnnnauPEEfjLRpxF1xwQZgzZ071t+E+tjs4T/zobTQQo6EYn2OOOSYceuihlZl4xx13VB/3fe6556r/jh+3ffOb3zxsC9x0002Vsbl48eIwZsyYcMYZZ4SxY8dW7/i78sorl/zYSPy142giDjX2hk4Y390X3+UXnwkTJoSTTz45bLrppuHBBx8M55xzTpVbfOL3HsbvN2z6wQBsmijzQaB/BJQPOFxK+tcXzFwuAWXNRqrottzeIrL+EVDWLZrtX18wc7kElDVbLlUi6zeBzhqAyzP7hoO6xRZbhCeeeGJY3tFsO/roo6sf1BjpmTRpUvUjICuvvPKIr5k7d26IH7/99a9/Pexr4rv6vve974X9999/uXWPRt+JJ55YfY/fcE80BKdNm1Z9199IT3znYvx14mgoDvfEPCZPnhzOOuusvvQgBmBfsDIpBPpCQPmAw6WkLy3BpIUTUNYsBmDhzUV4fSOgrFv22r61BRMXTEBZswVjJbQ+E8AA/P8BL88AHKxBNMuiyTdr1qwQPyYbDbb4PX3xHXLve9/7eipV/DXd+B2B1113XYiGYDTxNttss8oYjB9TjnH08jz00EPh4osvDrfffnv1IyWjR4+uPh48ceLEcNRRR1UfR+7lueaaa8LVV18d7r///rBw4cLqXYV77bVXZTAO/iBJL/PUfQ0GYF1ivB4CdgSUDzhcSuz6hpXtCChrFgPQrm9Y2ZaAsm7Za217h9VtCChr1oYYq5ZAoLMGYAlwiWFkAhiAdAcEdAgoH3C4lOj0GZE2R0BZsxiAzfUBM2kRUNYte61WrxFtMwSUNdsMAWZRJIABqFi1DsSMAdiBIpKCGwLKBxwuJW7alESHEFDWLAYgreyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUsCbiMcAACAASURBVCLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dAQxAO/auV8YAdF1+khcjoHzA4VIi1myE2wgBZc1iADbSAkwiSEBZt+y1gg1HyNkElDWbnTwTyBLAAJQtnXbgGIDa9SN6XwSUDzhcSnz1KtkOEFDWLAYgXeyVgLJu2Wu9dq3vvJU167tyvrPHAPRdf7PsMQDN0LMwBGoTUD7gcCmpXW4GdICAsmYxADvQgKSQREBZt+y1SSVnkDgBZc2Koyf8DAIYgBnwGJpOAAMwnR0jIdA2AeUDDpeStruF9UogoKxZDMASOogYLAgo65a91qJjWNOagLJmrdmxvh0BDEA79q5XxgB0XX6SFyOgfMDhUiLWbITbCAFlzWIANtICTCJIQFm37LWCDUfI2QSUNZudPBPIEsAAlC2dduAYgNr1I3pfBJQPOFxKfPUq2Q4QUNYsBiBd7JWAsm7Za712re+8lTXru3K+s8cA9F1/s+wxAM3QszAEahNQPuBwKaldbgZ0gICyZjEAO9CApJBEQFm37LVJJWeQOAFlzYqjJ/wMAhiAGfAYmk4AAzCdHSMh0DYB5QMOl5K2u4X1SiCgrFkMwBI6iBgsCCjrlr3WomNY05qAsmat2bG+HQEMQDv2rlfGAHRdfpIXI6B8wOFSItZshNsIAWXNYgA20gJMIkhAWbfstYINR8jZBJQ1m508E8gSwACULZ124BiA2vUjel8ElA84XEp89SrZDhBQ1iwGIF3slYCybtlrvXat77yVNeu7cr6zxwD0XX+z7DEAzdCzMARqE1A+4HApqV1uBnSAgLJmMQA70ICkkERAWbfstUklZ5A4AWXNiqMn/AwCGIAZ8BiaTgADMJ0dIyHQNgHlAw6Xkra7hfVKIKCsWQzAEjqIGCwIKOuWvdaiY1jTmoCyZq3Zsb4dgU4bgAsWLAgzZ86s/mfWrFnV//zlL3+paH/0ox8NV199dS3yN998c5gyZUo131NPPRU22mijMHbs2HDMMceE9773vT3N9cILL4RLLrkkXHfddWHu3LnhpZdeCptttlnYb7/9wic/+cmw+eab9zTPww8/HL7+9a+H2267LfzhD38Ia621Vthuu+3CxIkTw6RJk8Kqq67a0zxTp04NV111VXjggQfCM888EzbZZJOw1157hRNOOCG89a1v7WmOlBdhAKZQYwwEbAgoH3C4lNj0DKvaElDWLAagbe+wuh0BZd2y19r1DSvbEVDWrB01VrYm0GkDcKWVVhqRbx0D8JVXXgnHHXdcZf6N9EQT8PLLLw/LW3PevHmV0ffYY48NO826664brrnmmrDvvvsuty++9a1vVQbdP/7xj2FfF427G2+8MWywwQYjzvPiiy+Ggw46qHrdcM/KK68czjrrrDB58uS+9CgGYF+wMikE+kJA+YDDpaQvLcGkhRNQ1iwGYOHNRXh9I6CsW/bavrUFExdMQFmzBWMltD4TcGMAxnfZxXfI3XrrrRXSOgbg6aefHs4999xq3M477xxOPfXU8IY3vCFEQ+/CCy8Mc+bMqf4WX/elL31p2JI999xzYbfddgu/+tWvqr8fffTR4dBDDw1rrrlmuOOOO8J5550X4mtGjRoV7r333vCmN71p2HluueWWyiBcvHhxGDNmTLXm7rvvHv7617+GK6+8Mlx//fXVuL333ruaNxp5wz3xnYLRbIzPhAkTwkknnRQ23XTT8OCDD1a5xtziE+c86qijGm9DDMDGkTIhBPpGQPmAw6Wkb23BxAUTUNZsxIpuC24uQusbAWXdotm+tQUTF0xAWbMFYyW0PhPotAH4+c9/vjLd4v9Es+yJJ54IW265ZYW0VwMwfkw3Gof//Oc/w6677hqmT59emXaDT/xI7/jx48Ps2bOrj91Ggy+ag69+4rvpzj777Oqfo2l4yimnLPWSaPpF0y6uEw25n//858vMEf8WY4kxrbPOOuG+++5bZq34zsBLL720Gvud73wnHHHEEcvMc9ddd4W3v/3t1b8fcMAB4Uc/+lFYZZVVlrzu6aefDrvsskuYP39+WH/99cNvfvObsN566zXaihiAjeJkMgj0lYDyAYdLSV9bg8kLJaCs2YgU3RbaWITVVwLKukWzfW0NJi+UgLJmC0VKWC0Q6LQB+Gp+KQbgUEMtmnTDfS/ejBkzwrhx46rlTjzxxOq7+YY+L7/8cth4443DwoULKwPvoYceGvadefFjxldccUU1NBqK0YQb+sTvDTz44IOrf4rvGPzsZz+7TItEQzJuwvH7/HbcccfqHX2vfuLHkG+66abK9ItM4utf/cTvBjzssMOqf/7yl78cPv3pTzfajhiAjeJkMgj0lYDyAYdLSV9bg8kLJaCs2YgU3RbaWITVVwLKukWzfW0NJi+UgLJmC0VKWC0QwABcDuT43X/xo8PxRza23Xbb8Oijj4746vj3+N1+cQOM75wb+l2AP/vZz8I+++xTjT3//PPDZz7zmWHnGWokfu5znwvnnHPOUq8b+rHdJ598svrBjuGeoUbi448/HrbeeuslL4sfM95www2r7w+MP1zy05/+dNg54o+TxB85efbZZ8Mee+wR7rnnnkbbEQOwUZxMBoG+ElA+4HAp6WtrMHmhBJQ1iwFYaFMRVt8JKOuWvbbv7cECBRJQ1myBOAmpJQIYgMsBHT/6Ovhx3mOPPbb6kY+Rnvj3wR8JieMGP2ocX3/mmWeGL37xi9XQkd5FGP8WP+IbP2r7/PPPVx8Hjh/VHfrEXwj+/e9/H7bZZpsl3yU4XDzf//73w+GHH1796dvf/nY48sgjl7wsfrT4ne98Z/XfI72LcPDF73nPe6rvTIwfbY7vLFxttdUaa0sMwMZQMhEE+k5A+YDDpaTv7cECBRJQ1mzEiW4LbCpC6jsBZd2i2b63BwsUSEBZswXiJKSWCGAALgf0tGnTwv7771+94itf+Uo4+eSTR3x1/PunPvWp6u9x3NBf8o2/tvuDH/yg+lv8aO7yvk9vp512Cg888ED17rsFCxYsWS++cy9+7198V+IHPvCB8OMf/3jEWOKPkrzlLW+p/h6/azB+5+Dgc8kll1QfU45P/O6/D37wgyPOE38Y5OKLL67+/vDDD4ftt9++sbbEAGwMJRNBoO8ElA84XEr63h4sUCABZc1GnOi2wKYipL4TUNYtmu17e7BAgQSUNVsgTkJqiQAG4HJAx3f8ffzjH69eEb9/70Mf+tCIr44GXzT64hPHxXcEDj7xewN/+ctfhtGjR1e/9Lu8JxqO0UCMz4svvhjWWGON6v+OPy4Svz8wPvF7Cb/xjW+MOE38EY9oIMYn/tJwfEfg4BO/N/CCCy6oPGSrewAAIABJREFU/nPWrFnVD5uM9MTv/hv8sZKbb745xHcE9vpEg295T/wI89ixY6uXxHc1Dvc9hL2u1ebrOOC0SZu1SiGgfMBBs6V0EXG0SUBZs5ETum2zW1irFALKukWzpXQRcbRJQFmzbXJirbIIYAAupx4XXXRROPXUU6tXxO/Ki9+ZN9IT/z74rr9X/2jGDjvsEB555JHql4j/9Kc/LbcDDjnkkHDttddWr4lG3gYbbFD939GsGzTM4ncIxu8SHOlZtGhRGDVqVPXnaCjecMMNS1469EdN4ncaxu8uHOm57LLLwvHHH1/9ORqcBx54YM/dO/Q7EFc0CANwRYT4OwRsCSgfcLiU2PYOq9sQUNZsJIZubfqGVW0JKOsWzdr2DqvbEFDWrA0xVi2BAAbgcqoQv7cvfn9ffG6//fbwjne8Y8RXD/1uvTjujDPOWPLa+D2C8XsB4w+KxB8IWd5zxBFHhO9+97vVS4YaY3fffXf1vYDxmTx5cvjCF74w4jSLFy+ufuE3PvH7/m677bYlr500aVL1vYDxmTdvXnj9618/4jzxdfH18YkxffjDH+65ZzEAe0bFCyFQPAHlAw6XkuLbiwD7QEBZsxEHuu1DUzBl8QSUdYtmi28vAuwDAWXN9gEHU4oQwABcTqF4B2D6OwD5CLDI/wcgTAj0QED5gMOlpIcC85LOEVDWLAZg59qRhHokoKxb9toei8zLOkVAWbOdKgTJ1CKAAbgcXHwHYPp3AK6oC/kRkBUR4u8QKIeA8gGHS0k5fUQk7RFQ1iwGYHt9wkplEVDWLXttWb1ENO0QUNZsO4RYpUQCGIDLqcqNN94YDjjggOoVOb8CHH885Ic//GE1T86vAK+99trVHDm/Ahx/POQTn/hENQ+/Alxfkhxw6jNjhD4B5QMOmtXvPzKoT0BZsxiA9evNiG4QUNYte203epAs6hFQ1my9THl1lwhgAC6nmvF7++L398Un/qpvfEfgSE/8+5QpU6o/x3FbbrnlkpfG7xGM3wsYn3vvvTfEXwUe7vnnP/8Z1ltvvfD8889X3/d31113LfWyzTffvPpewG222ab6VeCRnvirv4cffnj15/g9fkceeeSSlw79rsLzzjsvxF8FHumJv/p76623hlVXXbWKafXVV2+s93kHYGMomQgCfSegfMDhUtL39mCBAgkoazbiRLcFNhUh9Z2Asm7RbN/bgwUKJKCs2QJxElJLBDAAlwP6lVdeqQ6hf/zjH6tfy42/mjvSs91221Wm3Ote97rKpBv6IxjRRItmWnzir/fGX/Ed7pkxY0YYN25c9afTTjstnHvuuUu9LJp60dyLz5NPPhk22WSTYec57rjjwhVXXFH97bHHHgtvfOMbl7zu73//e9hwww3DSy+9VP2qcfz14uGe+PeNNtooPPvss1VMv/jFLxptSQzARnEyGQT6SkD5gMOlpK+tweSFElDWbESKbgttLMLqKwFl3aLZvrYGkxdKQFmzhSIlrBYIYACuAPLxxx8fLrvssupVI717b6hxF19/ySWXLDVrNNM23njj8Le//S1Eo/Dhhx9eyiAcfPFQ427mzJlht912W2qea6+9NhxyyCHVv4307r0XXnihOjjHjxpvv/321Vqvfvbdd9/K+Ivv7Pvtb39bvf7Vz9SpU8Nhhx1W/fOFF14YTjnllEbbEQOwUZxMBoG+ElA+4HAp6WtrMHmhBJQ1iwFYaFMRVt8JKOuWvbbv7cECBRJQ1myBOAmpJQIYgCsA/fjjj4cddtghxI/n7rrrrmH69OlhzTXXXDJq0aJF1cd1Z8+eXRlqjzzySNh6662XmXXox4CHM9SiuRjnieuMHz8+3HnnncvM8fLLL1cG4rx588I666wT7rvvviUfUR588QknnBAuvfTS6j+vuuqq8LGPfWyZeYZ+DPj9739/uP7668Mqq6yy5HVPP/102GWXXcL8+fOrjyTHjzSvv/76jbYkBmCjOJkMAn0loHzA4VLS19Zg8kIJKGsWA7DQpiKsvhNQ1i17bd/bgwUKJKCs2QJxElJLBDptAP7v//5vmDt37lLG1uA72fbcc89w1FFHLYV5OLMsviB+HDd+dDc+O++8c/UR3vjdgNGIu+CCC8KcOXOqvw33sd3BBeJHb6OBGA3F+BxzzDHh0EMPrczEO+64o/q473PPPVf9d/y47Zvf/OZhW+Cmm26qfphk8eLFYcyYMeGMM84IY8eOrd7xd+WVVy75sZG3ve1tlYk41NgbOmF8d198l198JkyYEE4++eSw6aabhgcffDCcc845VW7xid97GL/fsOkHA7BposwHgf4RUD7gcCnpX18wc7kElDUbqaLbcnuLyPpHQFm3aLZ/fcHM5RJQ1my5VIms3wQ6bQBGQ+873/lOzwzjd/4N90Sz7eijj65+UGOkZ9KkSdWPgKy88sojviaakfHjt7/+9a+HfU18V9/3vve9sP/++y835mj0nXjiidX3+A33RENw2rRp1Xf9jfTEdy7GXyeOhuJwT8xj8uTJ4ayzzuqZX50XYgDWocVrIWBLQPmAw6XEtndY3YaAsmYjMXRr0zesaktAWbdo1rZ3WN2GgLJmbYixagkEMACHVGEkA3DwJdEsiybfrFmzQvyYbDTY4vf0xXfIve997+upnvHXdON3BF533XXVuxOjibfZZptVxuBJJ50Utthii57meeihh8LFF18cbr/99upHSkaPHl19PHjixInVOxvjx5F7ea655ppw9dVXh/vvvz8sXLiwelfhXnvtVRmMgz9I0ss8dV+DAViXGK+HgB0B5QMOlxK7vmFlOwLKmsUAtOsbVrYloKxb9lrb3mF1GwLKmrUhxqolEOi0AVgCYGIYngAGIJ0BAR0CygccLiU6fUakzRFQ1iwGYHN9wExaBJR1y16r1WtE2wwBZc02Q4BZFAlgACpWrQMxYwB2oIik4IaA8gGHS4mbNiXRIQSUNYsBSCt7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar13rO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBjyGphPAAExnx0gItE1A+YDDpaTtbmG9EggoaxYDsIQOIgYLAsq6Za+16BjWtCagrFlrdqxvRwAD0I6965UxAF2Xn+TFCCgfcLiUiDUb4TZCQFmzGICNtACTCBJQ1i17rWDDEXI2AWXNZifPBLIEMABlS6cdOAagdv2I3hcB5QMOlxJfvUq2AwSUNYsBSBd7JaCsW/Zar11DDem2AAAgAElEQVTrO29lzfqunO/sMQB9198sewxAM/QsDIHaBJQPOFxKapebAR0goKxZDMAONCApJBFQ1i17bVLJGSROQFmz4ugJP4MABmAGPIamE8AATGfHSAi0TUD5gMOlpO1uYb0SCChrFgOwhA4iBgsCyrplr7XoGNa0JqCsWWt2rG9HAAPQjr3rlTEAXZef5MUIKB9wuJSINRvhNkJAWbMYgI20AJMIElDWLXutYMMRcjYBZc1mJ88EsgQwAGVLpx04BqB2/YjeFwHlAw6XEl+9SrYDBJQ1iwFIF3sloKxb9lqvXes7b2XN+q6c7+wxAH3X3yx7DEAz9CwMgdoElA84XEpql5sBHSCgrFkMwA40ICkkEVDWLXttUskZJE5AWbPi6Ak/gwAGYAY8hqYTwABMZ8dICLRNQPmAw6Wk7W5hvRIIKGsWA7CEDiIGCwLKumWvtegY1rQmoKxZa3asb0cAA9COveuVMQBdl5/kxQgoH3C4lIg1G+E2QkBZsxiAjbQAkwgSUNYte61gwxFyNgFlzWYnzwSyBDAAZUunHTgGoHb9iN4XAeUDDpcSX71KtgMElDWLAUgXeyWgrFv2Wq9d6ztvZc36rpzv7DEAfdffLHsMQDP0LAyB2gSUDzhcSmqXmwEdIKCsWQzADjQgKSQRUNYte21SyRkkTkBZs+LoCT+DAAZgBryuDJ0/f364+OKLw7Rp00L8v9dYY42w1VZbhYMPPjgcf/zxYdSoUY2nigHYOFImhEDfCCgfcLiU9K0tmLhgAsqaxQAsuLEIra8ElHXLXtvX1mDyQgkoa7ZQpITVAgEMwBYgl7xENP0mTpwY/va3vw0b5jbbbBNuuumm8PrXv77RNDAAG8XJZBDoKwHlAw6Xkr62BpMXSkBZsxiAhTYVYfWdgLJu2Wv73h4sUCABZc0WiJOQWiKAAdgS6BKXuf/++8Mee+wRXnjhhbDWWmuF0047LUyYMCEsWrQoTJ06NVx55ZVV2Ntuu22YNWtW9ZqmHgzApkgyDwT6T0D5gMOlpP/9wQrlEVDWLAZgef1ERO0QUNYte207PcIqZRFQ1mxZJImmTQIYgG3SLmytaPbdeeedYdVVVw3Tp08P48aNWyrCiy66KJx66qnVv5199tnhzDPPbCwDDMDGUDIRBPpOQPmAw6Wk7+3BAgUSUNYsBmCBDUVIrRBQ1i17bSstwiKFEVDWbGEoCadFAhiALcIuaan4jr6xY8dWIR177LHh8ssvXya8xYsXhx133DE8+uijYf311w9//vOfw2qrrdZIGhiAjWBkEgi0QkD5gMOlpJUWYZHCCChrFgOwsGYinNYIKOuWvba1NmGhgggoa7YgjITSMgEMwJaBl7Lc6aefHs4999wqnBkzZoTdd9992NDOP//86qPB8bn11lvDu9/97kZSwABsBCOTQKAVAsoHHC4lrbQIixRGQFmzGICFNRPhtEZAWbfsta21CQsVREBZswVhJJSWCWAAtgy8lOX23nvvcPfdd4fRo0eHhQsXVh8DHu659957q+8JjE/8CHD8KHATDwZgExSZAwLtEFA+4HApaadHWKUsAsqaxQAsq5eIpj0Cyrplr22vT1ipHALKmi2HIpG0TQADsG3ihay30UYbhaeffjrstNNO4f/+7/9GjOqZZ54Jr3nNa6q/H3TQQeHaa69tJAMMwEYwMgkEWiGgfMDhUtJKi7BIYQSUNYsBWFgzEU5rBJR1y17bWpuwUEEElDVbEEZCaZkABmDLwEtY7sUXXwxrrrlmFcp+++0XbrzxxuWGFX/99/nnnw9vfetbQ3xHYC9PNPiW9/z+979f8s7CmTNnhte+9rW9TGv+mt122y386U9/qt45ecwxx5jHQwAQaIPAlClTqv8fsMkmm1S/CK70oFmlahFrUwSUNRsZoNumOoF5lAgo6xbNKnUasTZFQFmz8Uw/0icAm+LDPGUSwAAssy59jeqpp54KG2+8cbXGIYccEqZOnbrc9caMGRMWLFhQ/SDIgw8+2FNsK620Uk+v40UQgAAEIAABCEAAAhCAAAQgAAEItEMgvhknvnOXxx8BDEB/NQ9R8JtvvnmV+Uc+8pHwP//zP8ulEF8bx7zhDW8Ic+fO7YkYBmBPmHgRBCAAAQhAAAIQgAAEIAABCECgNQIYgK2hLm4hDMDiStL/gNp4B+CKPgIcP4b8q1/9KsR3F8bvI+QtyP2vu/IKTz75ZBg7dmyVgtJHxpWZEzsEcgig2Rx6jIWADQF0a8OdVSGQSgDNppJjHB8B9tsDGIAOa9/GdwA6xErKfSSg+qMxfUTC1BAomgCaLbo8BAeBYQmgWxoDAloE0KxWvYgWAiUQwAAsoQoGMVj/CrBByiwpTIADjnDxCN0lATTrsuwkLU4A3YoXkPDdEUCz7kpOwhDIJoABmI1Qc4K999473H333dWv2S5cuHDEj+DGX/3dY489qiTPPPPMcPbZZ2smTNTSBDjgSJeP4B0SQLMOi07K8gTQrXwJScAZATTrrOCkC4EGCGAANgBRcYrPfe5z4bzzzqtCnzFjRth9992HTeP8888Pp512WvW3W265Jeyzzz6K6RKzOAEOOOIFJHx3BNCsu5KTcAcIoNsOFJEUXBFAs67KTbIQaIQABmAjGPUmiT+kMGj6HXvsseHyyy9fJonFixeHHXfcMTz66KNhvfXWCwsWLAirrbaaXrJELE+AA458CUnAGQE066zgpNsJAui2E2UkCUcE0KyjYpMqBBoigAHYEEjFaQY/Bhx/gXf69Olh3LhxS6Vx0UUXhVNPPbX6t89//vPhrLPOUkyTmDtAgANOB4pICq4IoFlX5SbZjhBAtx0pJGm4IYBm3ZSaRCHQGAEMwMZQ6k00Z86csOeee4ZFixaFtdZaK8SPBU+YMKH676lTp4YpU6ZUSb3xjW8Ms2fPDmuvvbZekkTcCQIccDpRRpJwRADNOio2qXaGALrtTClJxAkBNOuk0KQJgQYJYAA2CFNxqhtuuCF8+MMfDs8+++yw4Ufzb9q0aWGrrbZSTI+YO0KAA05HCkkabgigWTelJtEOEUC3HSomqbgggGZdlJkkIdAoAQzARnFqTva73/0ufO1rX6uMvriRrL766pXhd9BBB4UTTzwxjBo1SjMxooYABCAAAQhAAAIQgAAEIAABCEAAAhAIGIA0AQQgAAEIQAACEIAABCAAAQhAAAIQgAAEOkwAA7DDxSU1CEAAAhCAAAQgAAEIQAACEIAABCAAAQhgANIDEIAABCAAAQhAAAIQgAAEIAABCEAAAhDoMAEMwA4Xl9QgAAEIQAACEIAABCAAAQhAAAIQgAAEIIABSA9AAAIQgAAEIAABCEAAAhCAAAQgAAEIQKDDBDAAO1xcUoMABCAAAQhAAAIQgAAEIAABCEAAAhCAAAYgPQABCEAAAhCAAAQgAAEIQAACEIAABCAAgQ4TwADscHFJDQIQgAAEIAABCEAAAhCAAAQgAAEIQAACGID0AAQgAAEIQAACEIAABCAAAQhAAAIQgAAEOkwAA7DDxSU1CEAAAhCAAAQgAAEIQAACEIAABCAAAQhgANIDEIBAzwQWLFgQZs6cWf3PrFmzqv/5y1/+Uo3/6Ec/Gq6++uqe5/rtb38bLr744vCzn/0s/O53vwuLFy8Or3vd68K73/3ucPzxx4cddtihp7luvPHGat0ZM2aEp556Kqy99tph6623Dh/60IfCxz/+8TBq1KgR53nllVfCPffcE2699dbqfz/yyCNVPv/2b/8WNttsszB+/Phw7LHHhp122qmnWHgRBEoj0DXNxnx++tOfVv+/57777gtPPvlkePrpp8NLL70UXvOa14Q3velN4YMf/GA44ogjwujRo0srB/FAYIUEuqbZ5SV88MEHh+uuu27JS+K54N///d9XyIgXQKA0Al3T7RNPPBG23HLLnjDXPf/3NCkvggAE+kYAA7BvaJkYAt0jsNJKK42YVJ0DwJQpU8InPvGJ6tI+3LP66quHr371q5WBN9Lz97//PUycODHccMMNI74mGoE/+clPwrbbbjvsa7bYYoswf/785RYq5nzKKaeE888/Pywv/+5Vm4y6QKBrmv3mN78Zjj766BWWJmr7hz/8Ydhll11W+FpeAIGSCHRNsyOxnTZtWth///2X+jMGYEmdSCx1CHRNtxiAdarPayGgRQADUKteRAsBUwJDDzjxHXLbbbdd9e65+PRqAE6dOjUcdthh1Zh11103fPrTnw7veMc7whprrBHmzJkTLrzwwjB37tzKbLv22murd/K9+onv3Ntvv/2qdwLFJ17y/+u//qsy+qIxGC8WX//618M//vGP6t0Es2fPDhtssMEy86y66qrhX//6V9hqq63CgQceGPbcc8+w6aabhkWLFoU77rgjfOUrXwnPPPNMNe60004L5557ril/FodAXQJd0+y3vvWtcMEFF4S3v/3tYeedd67eNfza1742vPjii9U7if/f/9fevcd+Pf0PAD9uW2LxNcXSmMtsCJNQFAujoSJyz2Quw0ZjLlvMnX9ct4zkltuW2xCm1louiZlpJUqykUVINNrCfH97nv3e7d3H593n8/58Ve/X6fHc+uPT+/J5ncc55/N5fZ7vc87zmWfS1KlTM9N//vOfNH/+/Py4IFAVgdLmbHvuv/32W17lHx/A9erVK8XqqQgJwKqMUtfZVqC0eVufALz99tvTiBEjGnZ6/K6N38WCAIFqCEgAVqOfXCWBlhC46aab0iGHHJL/7bTTTqn+BqEzCcBVq1blLQVxs7/tttum2bNnp759+67VtpUrV6ZBgwalefPmpZ133jknA9tu5XvxxRfTqFGj8utiy3BsA45Vg/Uxffr0NHTo0Jzgi9WGsd24bRx++OEp2nTccce1u7pv8eLFaeDAgXlrcSQLFy5cmPbYY4+W6AsXQaAzAqXN2b/++ivPxXVFrB6ODwQirrrqqnTPPfd0hspzCLSEQGlztj3UsWPHpgceeCAdc8wxqU+fPmnSpEn5aRKALTEEXUQXBEqbt/X390888UQ6//zzu6DiJQQItKKABGAr9oprIlARgWYTgLElr7aib9y4cSk+VWwvInkXib2I8ePHp8svv3ytpw0bNiwn/SK++OKLfOZfe3HuueemZ599NicHv//++7wiqNmI7x8JxIh77713TWKh2ffxfAKtILApzNlIEsZcj1VG/fv3z+cFCgJVFShtzsaK/AEDBuRE/ty5c/PKegnAqo5O191IoOrzVgLQ2CZQroAEYLl9q2UE1rtAszc4119/fd6+F/Hee+/lLbftRfwBH8U8YltfbPWL7bj1ESsDly1blrfuLlq0qGE7Yzvg6NGj8+NRKCRWKTYbsYWwtkoxEpGREBQEqiqwKczZ6Jsdd9wxF/SJuRuriQWBqgqUNGfjd3vsIJgzZ05efX/zzTfnlUUSgFUdna7730oAttr9sQSgsU2gXAEJwHL7VssIrHeBZv8wufjii9PEiRPzdUXiLhJ4jSLOE1m6dGlevff777+vte0v/u/PP//MCcRIJDaKqDAc23sjxowZkx5//PGmTaLSaK2QQKOtxE2/qRcQ2EgCm8KcrZ/3seK4vsroRmL3bQl0WaCkORtn/F533XV51X4k5uPsXwnALg8NL2xhgarPWwnAFh5cLo3A/yggAfg/Ano5gU1ZoNkbnDiXK87niohtQI0qdEaRjx49euQtfBGff/75WpV8Y3vfL7/80uHqnvqzAg877LD0wQcfNN1dUQgkzhGLePDBB9Nll13W9Ht4AYFWESh1zkbxnyVLluTCQbFVP76OeOedd9LgwYNbhd91EGhaoJQ5G+f7xYrcOAs4kvTHHntstpAAbHpIeEEFBKo+b+uvv1+/funnn3/OH8p369Ytn9sZv1fjQ/14TBAgUC0BCcBq9ZerJdBSAs3e4DzyyCPpkksuyW2Ig/lribW2japfdRePRVXP2kq++DqKd0QBkS222CJ99913qWfPnu26XHHFFbkacERUAo2bl2Yi/lCJSsdRqTBWHX711VcqnTUD6LktJ1DSnI3tg7fccku7xvGzIX7GXHnllS3XBy6IQDMCpczZ448/Pk2bNi2dddZZ6bnnnltDIAHYzGjw3KoIVH3e1l//uszjnj4K+sRqXkGAQDUEJACr0U+ukkBLCjR7g/Ptt9/mKrqxfTe2+MY5QHFWV338/fff6cQTT0xvvfXWmv+OlXynnnrqmq/jHME4LyUiPoGcMGHCP3xii3F8MllbRRhVh2urgjqLGVt+a2f+xerFWFkkCFRZoKQ52ygBGJVFo+r3vvvuW+Wucu0EskAJc7Z2Hu92222XFixYkOIc31pIABroJQpUfd7G9R900EHplFNOyWdxx7b9WP0XH7pHIv+xxx5bc3999tln54J7ggCBaghIAFajn1wlgZYUaPYGJxoRK3Lij/OIvffeO8WZQEOGDMkr7CIhGH/Ux4q/+PqPP/7Iz3v66adTVPStxcqVK9N+++2XIqEYEY9dc801eZtwJPnefPPNdO211+bKv7X3iRVBcQB5ZyNuZmrfM1YBfvzxx2nrrbfu7Ms9j0BLCpQ0Z3/44YcU/yLinNA4KuCpp57KRYMOOOCAFCuOY+u/IFBlgarP2dg6GL+bf/zxx3aP0ZAArPLodO2NBKo+b+P+O+6Zu3fv3m4T40P22MYfO2QiXn311TR8+HADggCBCghIAFagk1wigVYV6MoNTtxUxMH8U6ZMadisWCU4cuTIdPfdd+fnvPLKK2nEiBFrPf+TTz5JJ5xwQk7yNYo4ry/OAPv000/T9ttvn1asWNEpypkzZ6ahQ4em1atXpzhvMAqNWE3UKTpPanGBUudsPfsdd9yRbrjhhrxaIf4oqT8+oMW7x+UR+IdA1edsLcEX1X/jHN7NN998rTZKABr0JQpUfd52pk/i3rh2xm4kA+NsT0GAQOsLSAC2fh+5QgItK9CVG5xoTBT5mDRpUt5eG4m82PYbEUm60aNHp9tuuy3/izO8It5+++105JFH/sMhVv/cddddafLkyXlbQi3233//vCIw3iu2GC9fvjztvvvu+Qy/jiKKkxx99NF5JeE222yTpk+fngYMGNDRyzxOoBICJc7Z9uBjzn744Ydp1113TYsXL16ringlOspFEvh/gSrP2RkzZqTYkh8r8D/66KO8pbBtSAAa6iUKVHneNtMfUdhn/vz5+QO3WInfNsHfzHt5LgECG0ZAAnDDOPsuBIoU6OoNTj1GnNG3bNmyvFW3d+/e+Q+FiFi1U/s0MbYOtT0rsC1oJAOjMnAUBIlVexGRFIz3jIhzBV9//fV19kPcxBx11FE5YRgHGsfza5UKi+xAjdrkBEqbs4068M4770zjxo3LD8+aNSsXDhIEqihQ5TlbK/wRW/HHjh3bLv9DDz2UV+pHxPEgtaJeZ555ZhW7yzUTyAJVnrfNdOHpp5+eXnjhhfySuA9vVJSvmff0XAIE1q+ABOD69fXuBIoW+DducNoDim3CvXr1Sr/++msuGhIreLoSzz//fDrjjDPyS2+99dZ04403Nnyb+B6xlSGShltuuWWKwiNttx135Rq8hkArCZQ0Z9flOnHixFwgKCIqjkblUUGgigJVnrNRPCBW8HclYqeAIFBVgSrP22bMR40ale+XIyQAm5HzXAIbT0ACcOPZ+84EKi+wvm5w4sy/qDwWEdV+Y5tvV+Lkk0/OZ4BFRIGAOIi8vYhiIoMGDUpff/113r4QRUeiqpkgUJpAKXO2o36prxD82muvpWHDhnX0Eo8TaEmBKs9ZCcCWHFIuagMIVHneNsMTBfk+++yzvGtm1apVtgA3g+e5BDaSgATgRoL3bQmUILA+bnCi6tjBBx+c5s6dm7baaqu0YMGCvAqw2YjzvwYOHJjPG4wziOIsv/YiPrGM8wUXLlyYH47KoRdddFGz387zCVRCoIQ52xF0nCl64IEH5uI/EXH2Z5wBKghUUaD0OesMwCqOStfckUDp8zbaX18EZF332R1ZeZwAgQ0rIAG4Yb19NwJFCXTlBuenn35K3bt3z//aRmz9vfDCC/MKvIio5BnFQNqLb775Jh/w3158+eWXaciQISlW9sXZglFopL0qvnFmYDxvzpw5+W3uu+++hucUFdVxGrPJClR9zsbW3gsuuGDNWaFtOzKSf1dffXW6//7780Oxsvfdd9/dZPtbw6svUPU521EPSAB2JOTxKgpUfd7GTpw4BmezzTZreJ8dSb+4F4946aWX0siRI6vYVa6ZwCYnIAG4yXW5BhPoukB82hfJtVpEMi+q7UYcccQROXlXH3Fj3zbirJBYYXfOOefkAhuRxIttA5Gke/jhh/NWgogoAjJlypScwGsvTjrppLxl97zzzkv9+/fPFYRjNd/UqVPThAkT8nvGjctjjz2WxowZ84+3WL16da72+/777+fH4npiu/G6IqoCW0nU9fHjlRteoKQ5G3oxp3fZZZd02mmn5ercu+22W/4wYcWKFflnyJNPPplXD0f06NEjr1CIquCCQFUESpuzHblLAHYk5PEqCJQ2b+N37V577ZWTeoceemjq06dP3ua7dOnSNG3atPToo4/mqr8RUQhk8uTJVegm10iAQNxL/9cpuwYCAQKdFKi/Ue/MS9r78RIJwDg0eF0R3ycqA3br1q3h0yIB+MYbbzR8fIcddkjjx49vePh//aeznWlLPCcqBM+cObOzT/c8AhtdoKQ5W0sAdgZ1n332Sc8880zq169fZ57uOQRaRqC0OdsRrARgR0Ier4JAafO20cq/tn1x6aWX5t0zkRwUBAhUQ0ACsBr95CoJtITAv3GDs2zZsrzFd8aMGfl8v/g6Cm/07t07b8eN7xErezqKWbNmpZdffjlv71uyZElavnx5XgW45557puHDh+fViD179mz4NhKAHQl7vASBkuZs9Me8efPyz45IxC9atCj//Iit/LEKMH6GRMIvCgjF1qU4Q1QQqJpAaXO2I38JwI6EPF4FgdLmbezAmT17dorztGO3Tez4iRV/sbI+zuUePHhwPo6jb9++Vege10iAQJ2ABKDhQIAAAQIECBAgQIAAAQIECBAgQKBgAQnAgjtX0wgQIECAAAECBAgQIECAAAECBAhIABoDBAgQIECAAAECBAgQIECAAAECBAoWkAAsuHM1jQABAgQIECBAgAABAgQIECBAgIAEoDFAgAABAgQIECBAgAABAgQIECBAoGABCcCCO1fTCBAgQIAAAQIECBAgQIAAAQIECEgAGgMECBAgQIAAAQIECBAgQIAAAQIEChaQACy4czWNAAECBAgQIECAAAECBAgQIECAgASgMUCAAAECBAgQIECAAAECBAgQIECgYAEJwII7V9MIECBAgAABAgQIECBAgAABAgQISAAaAwQIECBAgAABAgQIECBAgAABAgQKFpAALLhzNY0AAQIECBAgQIAAAQIECBAgQICABKAxQIAAAQIECBAgQIAAAQIECBAgQKBgAQnAgjtX0wgQIECAAAECBAgQIECAAAECBAhIABoDBAgQIECAAAECBAgQIECAAAECBAoWkAAsuHM1jQABAgQIECBAgAABAgQIECBAgIAEoDFAgAABAgQIECBAgAABAgQIECBAoGABCcCCO1fTCBAgQIAAAQIECBAgQIAAAQIECEgAGgMECBAgQIAAAQIECBAgQIAAAQIEChaQACy4czWNAAECBAgQIECAAAECBAgQIECAgASgMUCAAAECBAgQIECAAAECBAgQIECgYAEJwII7V9MIECBAgAABAgQIECBAgAABAgQISAAaAwQIECBAgAABAgQIECBAgAABAgQKFpAALLhzNY0AAQIECBAgQIAAAQIECBAgQICABKAxQIAAAQIECBAgQIAAAQIECBAgQKBgAQnAgjtX0wgQIECAAAECBAgQIECAAAECBAhIABoDBAgQIECAAAECBAgQIECAAAECBAoWkAAsuHM1jQABAgQIECBAgAABAgQIECBAgIAEoDFAgAABAgQIECBAgAABAgQIECBAoGABCcCCO1fTCBAgQIAAAQIECBAgQIAAAQIECEgAGgMECBAgQIAAAQIECBAgQIAAAQIEChaQACy4czWNAAECBAgQIECAAAECBAgQIECAgASgMUCAAAECBAgQIECAAAECBAgQIECgYAEJwII7V9MIECBAgAABAgQIECBAgAABAgQISAAaAwQIECBAgAABAgQIECBAgAABAgQKFpAALLhzNY0AAQIECBAgQIAAAQIECBAgQICABKAxQIAAAQIECBAgQIAAAQIECBAgQKBgAQnAgjtX0wgQIECAAAECBAgQIECAAAECBAhIABoDBAgQIECAAAECBAgQIECAAAECBAoWkAAsuHM1jQABAgQIECBAgAABAgQIECBAgIAEoDFAgAABAgQIECBAgAABAgQIECBAoGABCcCCO1fTCBAgQIAAAQIECBAgQIAAAQIECEgAGgMECBAgQIAAAQIECBAgQIAAAQIEChaQACy4czWNAAECBAgQIECAAAECBAgQIECAgASgMUCAAAECBAgQIECAAAECBAgQIECgYAEJwII7V9MIECBAgAABAgQIECBAgAABAgQISAAaAwQIECBAgAABAgQIECBAgAABAgQKFpAALLhzNY0AAQIECBAgQIAAAQIECBAgQICABKAxQIAAAQIECBAgQIAAAQIECBAgQKBgAQnAgjtX0wgQIECAAAECBAgQIECAAAECBAhIABoDBAgQIECAAAECBAgQIECAAAECBAoWkAAsuHM1jQABAgQIECBAgAABAgQIECBAgIAEoDFAgAABAgQIECBAgAABAgQIECBAoGABCcCCO1fTCBAgQIAAAQIECBAgQIAAAQIECEgAGgMECBAgQIAAAQIECBAgQIAAAQIEChaQACy4czWNAAECBAgQIECAAAECBAgQIECAgASgMUCAAGlIfEgAAADKSURBVAECBAgQIECAAAECBAgQIECgYAEJwII7V9MIECBAgAABAgQIECBAgAABAgQISAAaAwQIECBAgAABAgQIECBAgAABAgQKFpAALLhzNY0AAQIECBAgQIAAAQIECBAgQICABKAxQIAAAQIECBAgQIAAAQIECBAgQKBgAQnAgjtX0wgQIECAAAECBAgQIECAAAECBAhIABoDBAgQIECAAAECBAgQIECAAAECBAoWkAAsuHM1jQABAgQIECBAgAABAgQIECBAgMD/AVROUfIgaF3gAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Preview the plots \n",
    "\n",
    "plt.figure()\n",
    "plt.bar(df.index,df_mean,yerr=ci,capsize = 4,color='grey',edgecolor='black')\n",
    "plt.xticks(df.index)\n",
    "ax = plt.gca()\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "2e804a1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# start to introduce the horizontal line y\n",
    "y = 42000 #default\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2f5430a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(26803.329108101625, 39820.885842987045),\n",
       " (38669.66388580649, 45054.05519634029),\n",
       " (34939.48633333383, 44047.12354946397),\n",
       " (45479.74082376381, 50007.36111477046)]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the confidence interval for each column\n",
    "c_interval = [st.norm.interval(alpha = 0.95,loc = mu,scale = sigma) for mu,sigma in zip(df_mean,df_std/np.sqrt(n))]\n",
    "c_interval"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "f7d40e94",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Evaluate the proportion of data > y\n",
    "def prop_above_y(y,c):\n",
    "    if y < c[0]:\n",
    "        return 1\n",
    "    elif y> c[1]:\n",
    "        return 0\n",
    "    return (c[1]-y)/(c[1]-c[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "611ddbaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 0.47836278319928677, 0.2247699925770427, 1]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prop_y = [prop_above_y(y,c) for c in c_interval]\n",
    "prop_y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "70aa5594",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df.loc[1995]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "643b293d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set up colormap\n",
    "cc = ['seismic', 'bwr', 'coolwarm']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "64c9beab",
   "metadata": {},
   "outputs": [],
   "source": [
    "cmap = cm.get_cmap(cc[2]) #Get the colormap\n",
    "norm = col.Normalize(vmin = 0,vmax = 1.0) #Normalize the value into [0,1]\n",
    "cpick = cm.ScalarMappable(cmap=cmap,norm=norm)\n",
    "cpick.set_array([]) #To make sure colorbar will work"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e7a9d5a1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "6138b2df",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* 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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from 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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * 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",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Try to plot with colorbar\n",
    "plt.figure()\n",
    "b = plt.bar(df.index,df_mean,yerr=ci,color = cpick.to_rgba(prop_y),edgecolor='gray',alpha=0.6,capsize=7)\n",
    "cbar = plt.colorbar(cpick,orientation='vertical')\n",
    "#Add the horizontal line\n",
    "h = plt.axhline(y,color='gray',linewidth = 1,linestyle='-')\n",
    "\n",
    "plt.xticks(df.index)\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Value')\n",
    "plt.title('Proportion of value above the horizontal line')\n",
    "#Remove the frame\n",
    "ax = plt.gca()\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "#Show the value of y\n",
    "y_t_f = plt.gca().get_yticks()\n",
    "y_t_all = np.append(y_t_f,y)\n",
    "ax.set_yticks(y_t_all)\n",
    "#Show y value on the top\n",
    "y_text = plt.text(1993.5,55000,f'y={y}', bbox = dict(fc='white',ec='k'))\n",
    "\n",
    "# Now let's make the y value user defined\n",
    "def onclick(event):\n",
    "    y = event.ydata\n",
    "    h.set_ydata(event.ydata)\n",
    "    y_all = np.append(y_t_f,y)\n",
    "    plt.gca().set_yticks(y_all)\n",
    "    y_text = plt.text(1993.5,55000,f'y={int(y)}',bbox=dict(fc='white',ec='k'))\n",
    "    #Recalculate the proportion\n",
    "    prop_y = [prop_above_y(y,c) for c in c_interval]\n",
    "    #Update the figure\n",
    "    for i in range(len(df)):\n",
    "        b[i].set_color(cpick.to_rgba(prop_y[i]))\n",
    "        b[i].set_edgecolor('gray')\n",
    "        \n",
    "    \n",
    "   \n",
    "\n",
    "plt.gcf().canvas.mpl_connect('button_press_event',onclick)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "cd387b54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\yuxue'"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "pwd   "
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a23430e8",
   "metadata": {},
   "outputs": [],
   "source": []
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