{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Signal separation between amorphous and crystalline phases\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using pyFAI version 0.21.0-dev0\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "import numpy\n",
    "from matplotlib.pyplot import subplots\n",
    "import fabio\n",
    "import pyFAI\n",
    "\n",
    "from pyFAI.gui import jupyter\n",
    "from pyFAI.azimuthalIntegrator import AzimuthalIntegrator\n",
    "from silx.resources import ExternalResources\n",
    "\n",
    "start_time = time.perf_counter()\n",
    "downloader = ExternalResources(\"pyfai\", \"http://www.silx.org/pub/pyFAI/testimages\")\n",
    "image_file = downloader.getfile(\"Pilatus6M.cbf\")\n",
    "geometry_file = downloader.getfile(\"Pilatus6M.poni\")\n",
    "\n",
    "fimg = fabio.open(image_file)\n",
    "img = fimg.data\n",
    "print(f\"Using pyFAI version {pyFAI.version}\")\n",
    "#print(fabio.open(image_file).header[\"_array_data.header_contents\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Detector Pilatus 6M\t PixelSize= 1.720e-04, 1.720e-04 m\n",
       "Wavelength= 1.033200e-10m\n",
       "SampleDetDist= 3.000000e-01m\tPONI= 2.254060e-01, 2.285880e-01m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
       "DirectBeamDist= 300.000mm\tCenter: x=1329.000, y=1310.500 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# ai = AzimuthalIntegrator(detector=\"Pilatus6M\")\n",
    "# ai.setFit2D(300, 1230.10, 1310.50)\n",
    "\n",
    "ai = pyFAI.load(geometry_file)\n",
    "ai.wavelength = 1.0332e-10\n",
    "ai.detector = pyFAI.detector_factory(\"Pilatus6M\")\n",
    "ai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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": {
      "text/html": [
       "<img 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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = subplots(figsize=(9,9))\n",
    "jupyter.display(img, ax=ax)\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0. 1D and 2D integration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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"
    },
    {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pyFAI.DEPRECATION:Function integrate2d_legacy is deprecated since pyFAI version 0.21.\n",
      "  File \"<ipython-input-5-0a6e763f5841>\", line 5, in <module>\n",
      "    int2 = ai.integrate2d(img, 1000, method=method)\n",
      "WARNING:pyFAI.azimuthalIntegrator:Method requested '('full', 'csr', 'cython')' not available. Method 'IntegrationMethod(2d int, pseudo split, histogram, cython)' will be used\n"
     ]
    }
   ],
   "source": [
    "fig,ax = subplots(2, figsize=(10,12))\n",
    "method=(\"full\",\"csr\",\"cython\")\n",
    "int1 = ai.integrate1d(img, 1000, method=method)\n",
    "jupyter.plot1d(int1, ax=ax[0])\n",
    "int2 = ai.integrate2d(img, 1000, method=method)\n",
    "jupyter.plot2d(int2, ax=ax[1])\n",
    "ax[0].set_xlim(int2.radial.min(), int2.radial.max())\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Separation based on 2D integration\n",
    "\n",
    "Two methods are readily available in pyFAI, they perform filtering the 2D regrouped image along a vertical axis:\n",
    "* median filtering: simple median along azimuthal angle\n",
    "* sigma clipping: iterative removal of all pixels above n standard deviation\n",
    "\n",
    "The drawback is in the 2D integration: costly in time and smears pixel together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* 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",
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       "        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",
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       "\n",
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       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
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       "\n",
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       "\n",
       "    this.context = undefined;\n",
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       "    this.format_dropdown = undefined;\n",
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       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
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       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
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       "    this.ws.onmessage = this._make_on_message_function(this);\n",
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       "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",
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       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
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       "\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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
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       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
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       "\n",
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       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
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       "\n",
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       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
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       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
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       "            if (entry.devicePixelContentBoxSize) {\n",
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       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
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       "                canvas.setAttribute(\n",
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       "                    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 (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",
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       "\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=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pyFAI.azimuthalIntegrator:Method requested '('full', 'csr', 'cython')' not available. Method 'IntegrationMethod(2d int, pseudo split, histogram, cython)' will be used\n",
      "WARNING:pyFAI.DEPRECATION:Function integrate2d_legacy is deprecated since pyFAI version 0.21.\n",
      "  File \"/usr/lib/python3/dist-packages/pyFAI/azimuthalIntegrator.py\", line 2723, in medfilt1d\n",
      "    res2d = self.integrate2d(data, npt_rad, npt_azim, mask=mask,\n",
      "WARNING:pyFAI.azimuthalIntegrator:Method requested '('full', 'csr', 'cython')' not available. Method 'IntegrationMethod(2d int, pseudo split, histogram, cython)' will be used\n",
      "WARNING:pyFAI.DEPRECATION:Function integrate2d_legacy is deprecated since pyFAI version 0.21.\n",
      "  File \"/usr/lib/python3/dist-packages/pyFAI/azimuthalIntegrator.py\", line 2868, in _sigma_clip_legacy\n",
      "    res2d = self.integrate2d(data, npt_rad, npt_azim, mask=mask,\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 457 ms, sys: 33.4 ms, total: 491 ms\n",
      "Wall time: 490 ms\n",
      "CPU times: user 444 ms, sys: 56.4 ms, total: 500 ms\n",
      "Wall time: 499 ms\n"
     ]
    }
   ],
   "source": [
    "fig,ax = subplots(1,1, figsize=(9,6))\n",
    "int1 = ai.integrate1d(img, 1000, method=method)\n",
    "jupyter.plot1d(int1, ax=ax)\n",
    "%time mf1 = ai.medfilt1d(img, 1000, method=method)\n",
    "%time sc2 = ai.sigma_clip(img, 1000, method=method, thres=5, max_iter=5)\n",
    "ax.plot(mf1.radial, mf1.intensity, label=\"medfilt1d\")\n",
    "ax.plot(sc2.radial, sc2.intensity, label=\"sigma-clip (legacy)\")\n",
    "ax.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Separation based on 1D integration:\n",
    "\n",
    "1D CSR integrator contain all the information to perform the sigma-clipping. This has been implemented in OpenCL and can be performed up to thousands of times per second.\n",
    "\n",
    "* Available using OpenCL (no cython yet)\n",
    "* Presentation of how it can be implemented is explained later in the demonstration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pyFAI.ext.splitBBoxCSR:Pixel splitting desactivated !\n",
      "WARNING:pyFAI.ext.splitBBoxCSR:Pixel splitting desactivated !\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 742 ms, sys: 104 ms, total: 846 ms\n",
      "Wall time: 368 ms\n",
      "CPU times: user 242 ms, sys: 20.2 ms, total: 263 ms\n",
      "Wall time: 262 ms\n"
     ]
    }
   ],
   "source": [
    "fig,ax = subplots(1,1, figsize=(9,6))\n",
    "int1 = ai.integrate1d(img, 1000, method=method)\n",
    "jupyter.plot1d(int1, ax=ax)\n",
    "%time sc1000 = ai.sigma_clip_ng(img, 1000, method=(\"no\",\"csr\",\"opencl\"), thres=5, max_iter=5, error_model=\"poisson\")\n",
    "%time sc100 = ai.sigma_clip_ng(img, 100, method=(\"no\",\"csr\",\"opencl\"), thres=5, max_iter=5, error_model=\"poisson\")\n",
    "ax.plot(sc1000.radial, sc1000.intensity, label=\"sigma-clip 1000pts\")\n",
    "ax.plot(sc100.radial, sc100.intensity, label=\"sigma-clip 100pts\")\n",
    "ax.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Rebuild the isotropic and anisotropic contribution\n",
    "\n",
    "Isotropic images are simply obtained from bilinear interpolation from 1D curves."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
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       "        return WebSocket;\n",
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       "        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",
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       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
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       "    this.context = undefined;\n",
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       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
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       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
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       "\n",
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       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
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       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
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       "    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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
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       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
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       "\n",
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       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
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       "\n",
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       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
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       "                height = entry.contentRect.height;\n",
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       "\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",
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       "                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 (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",
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       "    rubberband_canvas.addEventListener(\n",
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       "        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",
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       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
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       "        on_mouse_event_closure('figure_leave')\n",
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       "\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": {
      "text/html": [
       "<img 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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Rebuild an image from the integrated curve:\n",
    "isotropic = ai.calcfrom1d(sc100.radial, sc100.intensity, dim1_unit=sc100.unit, mask = ai.detector.mask)\n",
    "jupyter.display(isotropic, label=\"Anisotropic contribution\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aniso = img - isotropic\n",
    "jupyter.display(aniso, label=\"Anisotropic contribution\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#This can be simplified (using median filtering)\n",
    "bragg, amorphous = ai.separate(img)\n",
    "\n",
    "fig,ax = subplots(1, 2, figsize=(9,6))\n",
    "jupyter.display(bragg, label=\"Bragg\", ax=ax[0])\n",
    "jupyter.display(amorphous, label=\"Amorphous\", ax=ax[1])\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Implementation of sigma-clipping using pure 1D integrators.\n",
    "\n",
    "This is a workaround until it is implemented in pyFAI. The procedure mimics what is running in OpenCL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sigma_clip_ng(ai, img, npt, method, unit=\"q_nm^-1\", error_model=None, thres=5, max_iter=5):\n",
    "    img = img.astype(numpy.float32) #also explicit copy\n",
    "    if error_model!=\"poisson\":\n",
    "        raise RuntimeError(\"Only Poissonian detector are supported for now\")\n",
    "    for i in range(max_iter):\n",
    "        variance = img #enforce Poisson lay\n",
    "        res1d = ai.integrate1d(img, npt, variance=variance, method=method, unit=unit)\n",
    "        new_signal = ai.calcfrom1d(res1d.radial, res1d.intensity, dim1_unit=res1d.unit)\n",
    "        new_variance = ai.calcfrom1d(res1d.radial, res1d.intensity, dim1_unit=res1d.unit)\n",
    "        discard = abs(img-new_signal)>thres*new_variance\n",
    "        if discard.sum() == 0: break\n",
    "        img[discard] = numpy.NaN\n",
    "    return res1d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:pyFAI.ext.splitBBoxCSR:Pixel splitting desactivated !\n",
      "WARNING:pyFAI.ext.splitBBoxCSR:Pixel splitting desactivated !\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.8 s, sys: 1.58 s, total: 4.37 s\n",
      "Wall time: 831 ms\n",
      "CPU times: user 2.09 s, sys: 1.37 s, total: 3.46 s\n",
      "Wall time: 707 ms\n"
     ]
    }
   ],
   "source": [
    "fig,ax = subplots(1,1, figsize=(9,6))\n",
    "method = (\"no\",\"csr\",\"cython\")\n",
    "int1 = ai.integrate1d(img, 1000, method=method)\n",
    "jupyter.plot1d(int1, ax=ax)\n",
    "%time sc1000 = sigma_clip_ng(ai, img, 1000, method=method, thres=5, max_iter=5, error_model=\"poisson\")\n",
    "%time sc100 = sigma_clip_ng(ai, img, 100, method=method, thres=5, max_iter=5, error_model=\"poisson\")\n",
    "ax.plot(sc1000.radial, sc1000.intensity, label=\"sigma-clip 1000pts\")\n",
    "ax.plot(sc100.radial, sc100.intensity, label=\"sigma-clip 100pts\")\n",
    "ax.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Towards lossy compression of single crystal diffraction data\n",
    "\n",
    "For now only available as OpenCL code. \n",
    "\n",
    "Also available as command line tool, see `man sparsify-Bragg`:\n",
    "\n",
    "This 6 Mpix image can be summarized by:\n",
    "* 2000 pixels with signal above the background\n",
    "* 100 radial bins with intensity and associated deviation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "IntegrationMethod(1d int, no split, CSR, cython)\n",
      "CPU times: user 1.61 ms, sys: 730 µs, total: 2.34 ms\n",
      "Wall time: 28.2 ms\n",
      "Number of brag pixel found: 19233\n"
     ]
    }
   ],
   "source": [
    "from pyFAI.opencl.peak_finder import OCL_PeakFinder\n",
    "method = sc100.method\n",
    "print(method)\n",
    "lut = ai.engines[method].engine.lut\n",
    "#print(lut) # this is the stored transformation matrix\n",
    "peak_finder = OCL_PeakFinder(lut, \n",
    "                             image_size=numpy.prod(ai.detector.shape),\n",
    "                             unit=sc100.unit,\n",
    "                             bin_centers=sc100.radial,\n",
    "                             radius=ai.array_from_unit(sc100.unit),\n",
    "                             mask=ai.detector.mask)\n",
    "\n",
    "%time sep = peak_finder(img, error_model=\"poisson\")\n",
    "print(f\"Number of Bragg pixels found: {len(sep.index)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 349 ms, sys: 27.6 ms, total: 377 ms\n",
      "Wall time: 376 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Rebuild the image with noise\n",
    "bg_avg = ai.calcfrom1d(sep.radius, sep.background_avg, dim1_unit=sc100.unit)\n",
    "bg_std = ai.calcfrom1d(sep.radius, sep.background_std, dim1_unit=sc100.unit)\n",
    "restored = numpy.random.normal(bg_avg, bg_std)\n",
    "restored[numpy.where(ai.detector.mask)] = -1\n",
    "restored_flat = restored.ravel()\n",
    "restored_flat[sep.index] = sep.intensity\n",
    "restored = numpy.round(restored).astype(numpy.int32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "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",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\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 (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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T3pSCw2FwoJtKmQUIT1///d/Xz71qU+Vn/3Zn22kFNbsJz/5ye3eGzZs6NuLNoG4fv7zny8gsieffHJ5znOeU37iJ36iLCws9MeZEO7FndVNNwJG4C4hMIsQQlZ+z/d8T/nN3/zN8sIXvrBd8//+7/8KiCLSBmDkO/3008uLXvSiJm+5Yf+v/dqvlX/4h39oMh+GwBNPPLGlFvzQD/1QC8N84xvfuKKNl156aTn++OObhxKy+q1vfWu5+uqrW/jqE57whOaxPOigg/rzcOxZZ53V5DdCWy+44IIWxfJbv/Vb5Ytf/GIjs+95z3vK9ddfX44++uh231/5lV8ZGTSvueaads4///M/l8XFxfJd3/Vd5Rd+4RdaCoRDRu9SN/LBRuBOIWBCeKdg8kFG4J6HwI4dO1p45tlnn12QQzhr+/qv//py7rnnNkKHyRkTOsJKn/rUp5Zv//ZvL7fffnt5/OMfP0kIf/iHf7i87W1vK7/8y79cvvVbv7WFhSJXEdeCIrArQviWt7ylnHTSSeXpT396eeADH9hIIdoAYgrFhBvyZL75m7+5HHvssW0XngekEcqOHmdCeM/rh26RETACq4PALEIIDx48eSB2T3ziE1vuNggTZD32H3jggY204XwlTz/90z9d3vSmN5Xf+I3fKA960IOa7MfccK973audd8kllzSZC0Pe//7v//YPhWPXr1/fDIswIoJoQl5/5jOfaeTu1FNPbcfTyAdCuHXr1uYR/NVf/dVmlMQ9jjnmmJbaAIIHQyPmBpyH9oCQoq3Y4E18yEMeUkAK8RuuDwL5zne+s6VDmBCuTn/zVecbARPC+X7/fvq9GIHrrruuHHHEEY3YgXjN2vA7SB2Of/WrX90IIUgW/uqWi8qA/J155pnlBS94QbPscoOigcn7x37sx3ZJCGFt/tu//dvygz/4g/35sGxD8UD+y9S2tLRU8B+s38h/vOGGG3ovoQnhXtxh3XQjYATuEgIkhDCQgSAxhxAeNZAkkDOkCcAbCPKFnHFNG/i+7/u+Fg2C3HCQMBgPEX2B9IJZ26yQ0X/9139tpPN3fud3yvOf//z+dMj3pzzlKeV1r3td+cmf/Mm2H4QQ98QcgnZyAyFFtMl5553XG//wG4yMv/RLv9T2Iw/9Na95TXnWs55V3vWud5XHPe5x/fnPfOYzy5//+Z+bEN6lXuSDjcCdQ8CE8M7h5KOMwD0OgTtLCDFZY9JGeA4syyCCn/70p8v973//nRLCP/uzP2tFaqBQPPjBD+6PRUgnlI8f+ZEf2SUh/Ku/+qsWvoSwVG6wLv/hH/5hswJze9/73tc8gsiVgfdRN4QYHX744W2XCeE9rhu6QUbACKwSArnKKG8DAvjhD3+4hWlefPHFrdro7/3e75Wf+7mfG7UE5AkyHMQM5yBSA4QMoZj0KOa8vlmEEIZBkEHMIwgV5YYUAxS4QfoCjIXYQAhR6foTn/jEqD1Ia8Bc8va3v320/3Of+1wzPsJgCSKIOQuhonkuYGqCPYSr1OF82blGwIRwrl+/H35vRuCrCRnNkzpwyB5ChOq85CUvaZZe5HnoBs8kFIpdhYwi9Oi2224bnZvvA6v2N3zDNzSyBwswlAaEJyE8CLkpzF8xIdybe6vbbgSMwF1FgIQQhjUQultvvbVFe7z2ta9t8hekCYXFsMTQzjaE6iPEEyGiIHW4xkUXXdQMdd/5nd9Zfvd3f7dfwmIWIXzGM57R8gu3bdu24lbwOiIs9N///d97QgiChzBP3datW9dyxGdtyIHEnINUhssvv7zllOuGqBLgYEJ4V3uSjzcCu0bAhHDXGPkII3CPRWBXRWVA5mCtzUVlEIZ5n/vcZ6dEbXd4CO8MIXze855XcK8vf/nLI08ick9MCO+xXc8NMwJGYJURmJVDiNDMv/iLvyh/93d/18JAsSQFIi+QTzi1nXbaac2LpxsiTEAokTMITyND+O+uhxDhqUxdYFGZd7/73aN7HnnkkS0yBXJ9ajvqqKMK/rOHcJU7li9vBCYQMCF0tzACezECXHYCeXnIC8HCxdzgQUThF1Sk++AHP9i8cPTO3RlCiHwOVIpDQZnf/u3f7q97V3II7wwhRIU75J/cdNNNBRZkbAgnhZKDAgL2EO7FHdRNNwJG4G4jMIsQwniGgiyI1EBRGMhKhI1mj9yduTEqdyKEH95DVB2FPP6DP/iDFuqv4aT/9m//1ryJ+A3ncIOMR444wlPhRcQ2ixCCyGI+Qpt3tn6icwjvzJvzMUZg9yJgQrh78fTVjMAeR0AXpod1F5U6uTD9Rz/60TbZP/e5z23tuiuEEMejyijyD1llFCSRVUZhjcY6WNh2tuzErkJGkT/4bd/2beUHfuAHWsjojTfe2PJhkD+CkCETwj3epXxDI2AE7gEIzCKEaBrCPCGXUTUUIf2IAnnUox7VlnDAdxjYsNwD8vjgScSGKqSIKoGXDoQMv2O5BxR+QU4iNt4T1UNxTRgZcTyMdfgOeY1zsK4tq4yCjOYqozAmZg8hlrrAshEgmliKCJ5LFMrBskkgiiCCSBkAGUVlU3gx4U3E9fE7jJ6uMnoP6JhuwtckAiaEX5Ov1Q81bwigCh2IGjyBIFRI6EdeCSq3YQLmdlcJIdchfPOb39wIGpaOwDqEyF/BGlOwFn+1hBDnIycEXkgoBlBmYEk+7LDDWhEEE8J5681+XiNgBJSc5YXp8RuIFAgVlnoAsYOxDuQJxjl4EA855JBWsRPrEP7UT/1UAxRhpf/xH//RqjyDdEHWYskhEDwcjw3LRWANWFT4/NKXvlRQNEbXIcQcgigRLAmBtANEoaAg2NQ6hJkQ4vq4JpYewrq4SGlAKCvyDzGnoH1YngIb1jlEkRxUN8VatI95zGOa9xKRLs4h9PgwArsfARPC3Y+pr2gEvqYRgCUZ1mFUq4MH0ZsRMAJGwAgYASNgBIzA3ouACeHe++7cciOw6gigahxCgbAGFsJ8sFwF1iTEwscIF9LlJFa9Mb6BETACRsAIGAEjYASMwG5HwIRwt0PqCxqBrx0EkIOIMB2sY4WS5wgRQmEBLBqPinHejIARMAJGwAgYASNgBPZuBEwI9+7359YbASNgBIyAETACRsAIGAEjYATuNgImhHcbOp9oBIyAETACRsAIGAEjYASMgBHYuxEwIdy7359bbwSMgBEwAkbACBgBI2AEjIARuNsImBDebeh8ohEwAkbACBgBI2AEjIARMAJGYO9GwIQwvT8Uy3j7299eLrzwwlZVEWveYH00rPfDDQu/vvGNbxydiQVfsRYcN6zfhjXg3vKWt5RNmza1hbdf/epXt0VXuWGtICzO+o//+I9t1+Me97iCRcZ1PZ9dda+lpaW2HhDW8sFaPd6MgBEwAl/LCGBdNBQ4Ouqoo8ri4uJX/ah7k8y3vP+qX7cvYASMwF6EwO6W93vRo+/xppoQJsixOOpTn/rU8tCHPrRs3769Ldj62c9+tlVZ5IKpIITXXXddWxyV2/r169ti4Nye9axntYVX3/CGN7QFX1Gp8aabbirnnHNOWbNmTTvssY99bFuY9XWve137/sxnPrMcf/zx7bw7u+H8Y4455s4e7uOMgBEwAl8TCFx55ZUjA9vdfai9SeZb3t/dt+zzjIAR2JsR2F3yfm/GYLXbbkK4C4RvuOGGcthhh5X//u//Lo985CPb0SCEX/nKV8o73/nOybNvvvnmcuihh5Y3velN5SlPeUo7Bl48ELf3vve9rWz/BRdcUM4444zmVYR3ERs+P+IRj2jeSfVI7qyJuBc8iidt/O6yrmzoD10si2Wp/sOGz9wW6ucdZfto3/aF+n15sawpa8tyO2up/b6m/ttR/+Gc9ctry9Z6XFyv7lleKNsXcNz487p6HDachw3XwLbcXZnX1L/b6nXXL6/r2zu0daGdt1D/YcNftA1/8e/2hTvKVUvnlpMWHlxbvra1BdtSPWdtvS+fg3+31zbl/RvqHqCEc3D+tooN28xnZXt4DL/v6NqC8/Ab/q0TrNnmbfXXtfIMfKYd7Z7xXPys7xr7F6vXd6l6RPC3PVv9zO3axS+VW8uN5ZSlU8uahXjHemzfzuWl/vc13b30WJ7D59jRHc9juZ/f9XjizXvxWMUO2ODcAbd4Buzj0+DXbfW+a7vn4HVxr3V1H4/DtXj/CxcuLAcvH14OLwe3d7e9ng+c2A/ye8O52i7ek9jyuTPeeDfR1vpX2qfvqvWd5ejz6E84Hs+CNvHdbm/9En1l2PDW+F0/RzvjN+137HPoZ58uHy0nlLPLvcrGdkH8xj4e+EIGxDNjPGJMtz7V+kDcFd/xXJvLljaGMD7iGeJ3nL+u7sX5bAc+4dpT/R/X4nVx7e1pPKkc4LE6TtGCrQvb2jUgY7gtLUAyVfyqnNqxvK2cu+XtTQZjPczdvd2TZb7K+33qm8cGZHTDG9ZxuDN8cC6Ob3h3cowynZjr+ZgHti9EX8Bn9pOpe3AO0rkoH8e5SWU8+oX2V56zeWFLuXHh2nL00vH9nMA+RJnKfolz8LnvP518Zv9nmzg+OC9o+3AMxhPlCc/ROQ33wJyhcyz7/9Q7UIy1bfjMOYJvkzKHY/SmhVvLbYu3lKN2HLVCjuCN6NzDOQXXgHzbUmUTZU+M6driuh8yD/cDUpBtnF8477CNs75T3hJHnM93sm5hTS+TcR++Y72m4o1jiF3065j7eY9LF64q+y8fWA5c3reXW8RGr83z8l9eE38hi4lXyKTYiDm/87n6toiOMTXPjPtPyK8sx/Ed99dnpL5EGc3+r+PrssXPl6Nq318fb28ko+M+IddV7mt/i1E76FMcH21O7XQZ4q8yWccmfmebMvZ8BshwyH3ID+qJkNvRxmh3G1tVjqiMJ3Y8D3+xbV3eXC7a/I+rJu/1nc37ZxPCXfSAiy++uJxyyinNS3jWWWe1o0EIQQbhFQQZe9SjHlVe8YpXNOKI7X3ve18LEYVH8OCDD+7v8IAHPKA84QlPKC972cvK61//+vK85z2vdXLdcL1XvepV5WlPe9qd6pu33HJLU4rut/H7y8JiHeIdscPJIH4geVOfOTjxl4SQk1o+R4klBjAHKgczBvba5VAkeV3ua/SyEwycSCE4SAhD6VhqhBAbhQ8FGWheFS39tVXh3LywuVy+9Jly2sLD2u84lhvO2VAFJxVQtkufJU8iU/cf2gGyGJMuhTkmWHzWYygkOcnyHmw328ffeU/9PQvaQXGOyYWT5DULXyo3ly+V05ZOa6SDkz8nZR43vJcgrq0/dBP0htpntiwFkQGBIeHK3zEpk9SBuIGkccMVSfr4OfAeqwBoIxUO3GtNU0gwQWHyHxMfJUH4Hefqc+DzeQsXlEOWjyhHVkKohJFEc+o8bSfvO7yT4R79zTqs+J6yYqT9EcfouwJGwGqK9EP5UiWpYdP1JbSffY3PnY0R+P7Z8pFywsIDyr2W9+mbCwUWBG54N8Mz6djC71vqXaAIh/IYfUAnbMVga1N6B7LN9mCcDQpz9C8qyHpdjHc1nGgf5xjtlfROXvB7L0t6BWFTOX/TPxSQowMOOECbuVs+35NlPuX9GRufVMfPuia713ZGODX2keRR1cV3fl5XZS0w1feN3yD3MWcEoQzDIY6lvM8GRsj/bHjEe4WBD79RxvOl4Ht+11SAOXam+gXnjS0LW8t1C5eXY5ZOHpE9Xh99Gf0/ywl8V2MQ+y734XclhJnc6XOTIPJZSDB5D4wjjD8aCFUCZoJI5VznEe3A2Vh008Jt5ZbFr5Rjd9xXZrrBqEPscI0sXxRflVNqSJw6RgkZ5wYlajSekVjSaMi5iEY2PhdlXjau8Tpq8CRhZRsvWbyiHLB0UJX5+0ff7QgtPmu/0f2KpxJePivnYfxVUq37s+zlzEfDH2R19KEggNAJlEDq+VP9QklajMkwTA/9OO548eIF5cjlE8rG5fVjYtXL7mF+5z2nDLTbmpG/GiwbORvmHd5b9S3uU8Mi+357VsoRkQUc92NHxDDH6DvRZ8wEkbrh8vL28tlNf7tq8n7sCFb/AAAgAElEQVSqPfO6z4RwJ28escuPf/zjC3L9PvjBD/ZHvu1tbyv77bdfOe6448qll15aXvKSl7TwUoSDbtiwofzN3/xNI3TII9TtMY95TDnhhBPKa1/72vLKV76yhZN+7nOfGx1z6qmntnNf9KIXTbYM19TrQkGA5xEKwo5FkJPFpiBgIt/WWdppkaGSsKUSKRwzWDwHBTLfFESvDdR23ficCaIqcjgmKw5KClVIUJjg9w1VyGXlehAWIehUgOHz7fU5Llv6VDl9ITysobCG8KRiTPKpiggtY2rZVataFtBZKKplkBZFJYuDgjwQXFxDSR+sp0q+9HdOwjo59lhInuhVC9dXD+FNjRCqNRTX5gYPFYkevWjZCzflXYO3q00albjQTxOernGeKice7m0ESLx0JGX0oGFS5jVACPmMuDYIlD4zqYweFzgB11LOX/xcOXjp0HJEJYQkl/idxyvJJBHU85X+4XnZtqk2K5GlJ5IYZ2WIBFD7s7579hVV4GjyAAZqtVcDQ7Zef7r8bzmpPLD6Bzes8JgMXv4YD/R85zEWpDAIADeei+/qKeQ46PuWGGpIFoEzvY8qBzi+cuQAFWhcU89je3CNbHDaXO5YNUJ4T5P5O5P3axc2jIx+/QvsPlAuk+xNvVca8qh8xTuu/1oESBj68Btlv94jW/f1ndEIyH00DlBZJGnKbeb3gSwNBkESwmOXTunnglDiQQQZDRNGCyV9U9+VyI6eqZ6tXnZ+JvFThT57X8bmr7hqjIvYMvnIxk/KxUGZH87Dpy8v3FJurR7CE3Yc0xHrMBAO43YwGLZ7d4Qpk76MsUahzCJmbBtkH8mcHqsRLJgzKE9xDOcbkgoa7JRgKoFVwtlw66JiLl1zZTlo6d41KiQ844zA0GcdEfBuriQppQdSiaHei7/jetFfNZJluTcE6/zOqA++3/g7GIl5LD13lMPYD9mLcaCGMu2Lg+yPvv2FxYuqd/zEZujWsda8bV0EBw3olMc6LtQAwvvweOCAcZQNfdmIwf5PeT4YQMPrF88P49Kgg2Rj+NBfhwi2rCNS7uNYE0LtFav72YRwJ/g+5znPKe95z3vKhz70oZ3mqlx77bWNHL71rW8tT3ziE2cSwu/4ju8oJ510UnnNa17TCCEK01x00UWjFsAb+fSnP7288IUvnGzZS1/60uZhzBs8hLAYM+wTv6v1mMdjetpWLa3rGgGLcCGGkIJEblrcNPqNykEb6H0IQBBEWohp2eHvTUA369NYSLAN+ptahdRarIIK52n4Dy3Bdyxsah7CMxce3luA1dKroT24hnrrsveC4TQa3sF9DI3LFkBtUzzzdPgnLYlNuHWTjLaFE5ROquqJygSVBA+E8PaFm8sZNWQUk5d6nHitaNdgORzeQbQABK4dI0RzRHg7Lx4UAWwkiCSHU4qXeuj0uvAGYltfC4Fsrl5J3ieXQlKipr+FglMn5o7kwkN4n+WjashohA3iWB7Te9u6c/h79gEq2c2hoo2cdV5NXBdY0UvaJtAuJErfD/BBeFb02S5kSEKzaDnH70qGtf9MEUkNHeXEnj2EIw9BG38RoooNiouG4ZGYsT9AcVAPO8ciz1EPISzMkDRx3S5svL9PqAx5rOFY7M/kLnCiIhFtJAHZUkMEIZMyOdy+vGXVCOE9TebPkvf0EPL98S+9e61/dfb/6Pvq0Q9vIOUzoz5IArOHbCqsi/fLiqnKfO2PlLf52tG2CFvm5+HaEjJcf4fn8dqFSwsIocqoZtDqvTRDX8J1OB+ooqsGEG2Xtp1t0H1qNFTccX/OEeznuf8reYx3M4SPTxEIvi3MDYwyuLESwturl/C4paNHBsBZnkESwkxUVSbn/tPa1oV90kA2RST0PCV9OSqDIf8aHZLbpXNKvq5+v3zx6nLA8kGNEOZnyOSUslXJK66l6QFN9kiqBd+dztfjyJSVIfx8j/oOGDVEEojr0tjFPk4vIFJWGHHE++sz63XhIYR3HISQxjaVxdkTyfemxhXuIzGdIpAqv7MxZap/T42b6OOh/+W/+TcNEdWos/a+6r/lpW3l05vfZg/h1GDdzftMCGcA+tznPreFhX7gAx9oXr1dbSByz3jGM8oLXvCCVQ0Z3ZWHkJ6/EDwxrWiOiYYO8Rj+TiWBz6oWZh7LCV2VCA5cevx4PvIJc3goQ4mmiJFalqasupjcoZhScb2lTo5X1hxCeAhzbqBaqKJ9Q54fhSmPUcKkFj2ooppLoDkYuX0b4PGT/AlOwnlC4YQwJVg1P03JCYleztdgyOhZy6f3xEW9gTpBhBAe8u+ygsJ3RlIVSkgN++q8eBoWGm1fuU0ROw0LXYtr1dP2qYRwa62OS4v5ti5slNdlKOcsgse2nbtwXiOEh5WDWmOmJi8lnXwXqkxygmxKZUc0NYR11rhXi3k/XlK+J/arVTrnyLQ29/gGohpKTBLYlBoheNiPCf388vFySnlw2admlbR3Vf9j+FI2AmQPuSoLuU9yfLDPMIew70NNmR2HcnNMQjHn2GZ+FRQYKuxZ2ciKtOI99qCG1RnyZFu1ra9GCNE9UebvykNI2R2yM3LAlfwpnjvzAqtcz0pce+9duK6GifK47A3MYfnqIRjkYhgV2femojLYdkaGbKoGghtqHtmxSyf1jzXL2EWvif6uxsIsG/sxLF4OPh/DnTXvloYSnKcRJ3os97OPcxwP9xrGu3qk1LDIqAmcS0J47NJRo3w/yhHKGxISDesnqcx5gmyL5g5qn6HMWl/nt6mwfc4pOepErzE8wxC6m++X89j5LGosRcgoPISHlP1W5DruKseRns32vrooFfViMkJFozMofxu+MqqyV7A3Pnbyl3NDJtJTfXVKD1K5x/4FeX/Z4sXVQ3hC629q6IB8pnyPtg65r/0YlRk7z5NqkFjfCGpkG+at96aKLqWefx3nUzJgKnIM91AjIeVMP/ZrhMK2mkNoQrjidazKDhPCBCtChqAYvOMd7yjvf//7W/7grrYbb7yxHH300a1a6I/+6I82SwaKyrz5zW8uT37yk9vp8CJiyYlcVOajH/1oedjDIgcOnx/+8IffpaIymkMIDyEFAv5SSaAHUL8zTzArCfqsUC6Yb8LQIoaPkhCqlbmfXCRnkJNgBJqGxUiFiApJDSdjKJla2TJxu60WlWEOoSqoEGrcslU3wkRZdgFx9EMeYGAX3hTu7wWTeFriuLHa1Yf/JAW/x6S7tuYWUsBqaAqPp3dqFnHDcVct3NByCE9fvt/IYo7fSM40t06JUI+PeNAwCQy5HyigElfBZD0On4mzpwggSVyQ4+E4kMHtXXEcYEwSGCR3XFgl+m5s9CrGvnFYKUNGmUOoOYFTnsVsQdWJOxPH6KWRu5jJn+Za0lOo4U+BTRRDmCKBGqak+Z44L1u0QfDY17QoDcbFubWoDENGs7daiZaOK/R/Fo7JhAv3Z/4hnke9iFQQ8BcEj0Vm+F5UkVBcqagw70TbmXMNmyJTwxQ3VK8g5QWur8QDcmhL2bRbCeHeJPMp78/c+IO1fw2Fszie+XfKGBj9ssV29LJYz8thoTDoMR9wKvoj31Nz57Lypx6zlW3NkmSIpND+sqWmQMBDCC8JPdR4lpzfyufL95mKWtFjcxhrNqKQEGrhGtxDC8twvuEYoGybKiySFX8SORJCygMeB0KIkNGTlo7tZGMUaqHM0OfNuXu5WIzKmanzmQvI68wi3kocaFSjF46RIjS0MdR+1jW14JkWNMNz4Vx6CEEIQy4MkS8ahrryvXfzWCI56kUkjmOZOHhyh3EVeJMs5kI9OI5FxIbKB3F2mMrCuKdzHn9TXYR6iBoevlBTJEAI0fcpT6cK5fF62fCpcllJIJ9Nj6fxnX1QozhiPgrs+UwhW8Z5gmrw4T30ebKMGBFDSKhOj9xSS56dt+nv7CHMHXsVvpsQJlCf/exnt5DPd73rXaNKnyjcgnUJb7vttoIwnic96UnlyCOPLJdddll58YtfXK644opWORTrAWLDshPvfve7W54glqPAmoQgjnnZCVQfRU4hNiw7gdDTu7LshCoIIIQYhCCAYwvNUOFpW50+l1AdtBafwT8SPvUSNmGbisfkPBLmCuog1mTiKWWTZDBb0NRKRmUZiggUQ0449EBEiEYUD7ht4fbeQxiCOCpsYaMFLbwbUX2RlrQQmAM5bUp9U5Ji07wMtdzqb9ifq4dyIsB+tEPDCxmG0odvdBUolRSqRTfu1Qndnkh14X9d+Ob1C1+ueSXXtxxCJZCcEPBXJ8opy2WeSNnmobJmYEKypSRxCL+RgihC8DSMB4SQm06UIHzrOs/hYCXuQnM6UqlhnSRquJbmELZnFQ+dKkBtcu0wJFGdRVyVQOs7mCLmOdQLFmfNDdXQqKlw4KniB1lxZv/LCgS+f7LmEB63cHatvLdv33/ZJq02h0mYRZZYrADPoyHVqljEcw9V7PoXl/ZTIdCxmRVEVYJUeWDeF8c+5RXlzNBXQjHQ3OTdrSDsTTI/F5VR4qfRH1NeQsr4DcsbWiXXWR5DYs8QUvYHvgP1Fmq4F37P4Z+MEOH44fvGvMGK1P39RMHXfTyXhJA5hCrnNEJEK4Nq3+XxnD+ygSxXl87VdKfa2ctzMSxyDOqY1bkg5OkQJpsLkA2RDEPrccxXuqIyzCHkNXg+vXiUfZwTFAMSLfXIaU50xoSpAhpqCQ/bFHljES3KTTXQ6buaZeTMBjjKEl4XVUYRMkpCmL2MSiK14jTfR879bm3qono4J/E9EbPsueZ3ksKcL87zpvQGFpvRCs16fdWDsvEbfRGE8Mil41rOeOA55OplOUovIY7LFXSZHkD5zXvRE98bQOv1dR/CU9l3tU9pFFhO08kpAhp9Mown1bgkb70jhKsVEZJlg79XuVSto9Ol9eYUnVmLu2PNQVQXxSLzqBT6yU9+slUIBSl89KMfXV7+8peP1gPcvHlzef7zn9/IpS5Mr2sGogppXpj+T/7kT+7SwvSqIKDIgIZ5Mj9wXQ0pI0nE71pFNAb4UIEO3/F7JoQoULNPrWYIotaETJ38WR6e3/FXC9DQYqQK3VT4Dc5Ty5EKHVqjcggQhNkdWHZiuS7fUR466q1DCEdUtWvems6fNctLRIscJzNOYJpbCKJHhV33x7EDkVQlPnuKGr5SYZKhLgy50aR9tfJyAtdJjx7CM2vI6FSIB5+leXsqiYTCgC0PeHq3WPkzW5MZThPXi2el547EKlvCScLoGVxXw0S31TBRFoTprciVxEEEcdzhs5I3fbE8t/W3et5nFi5qRWXgIWQ4KtqlxDCTQV4vVzXl+2bOi2KkxE8JM3NnqGjwO98FLeY60fP+9DK2vi8l2VXhUKUiDCFjUo2iMhoyyveDvyxcQ0t2nrTVA65LStBoo+E/bHP4+MMgA69M9hTieaE0hAWcuYtYdmNceRHXYwGDnFujXhkcxzD0vvhJbcGO5a27NYRob5L5OSIkkA75zQgQGgUzWeTcwEIxGvavlUTVk6aGP10aiGRS0wQ0HYCEj+8z+mZ4gKeIo+Yy6ZjXsceiMsfXnOmsMPftqX0ty3oaBcOIN3jIqVBPKf3qEdE5pEU3yDyQPYFKKDKxowcwkw6tED21PAPHolYZzVU8KbO1gMuUl5BpB0qY6MGjDKSRcBj3Q5REnmdmGRmbXOuiK/gOc9QG57Q+jz3N0TpX43qXLtQcwqUDyyEL4SHUfEWVvdlTOctbyufTfMTsNcz5jngXmEfRZvUUxigc1xCY8hDyuD4CRvpSjJFx3iw9igwZvW8tKoNoDDUc8nNeqoKyOhvnqUspUdRq0VPvPd6neKQ7s7nK73gnnce6GRSHvPXoW0Fgs4znbypTVDbtbnmv8sWfxwiYEO7lPUIVhHWVEA6er3ERAQ669rd6CJFrSAUCEzQGI4o4gAzCi4i/upSEVpzDefyNCmReRwfEkcpEkNBYt0yFBokaw8PyshQkgxRWeYJATgmqjJ698A3NA5i9HrgXw3lyOFCI1CHnCsfmkA0t5BHCehzaqGEmGibCapAU1JxUshVSJ+d2fSlcgs8tJ0yKuaigxm9X1zUI4SFEyKh6+tQKrAoCJ5scTkpSx+tzKQiSVU7sOI7Eq00QsmQEPYdKyHAMiCA2Er1MCIkrlHKcq0Sy4d+q1EW4KTFiO8+thPDeS4eX+y4c1H7HvXCN3kKeSCjvjb9oL3MRo0/GRiKYrclZyVQlairnUIsp4LpakIYKIJ9jZBmWkGMWlNB+z1EN5RJFZbTKaFZcda2reMZhXU8SxHjmoBPcODFrlAFzd1UhpELB8ak5vuo9DMVgGPvAUkNa+Z33V6syi04x+gDf1ywtl09ufstchhBNhYw2A554dHWpiXi/4yIybRylKqIs5qCFw3Ac5wbOK/qOeA7vnb27uXKzekboecg5pDn0Gfdj/6eH8MQaEZE90bvyaOs8RUW57/DyQcfIMB6G0MRsYFRDoq41q8vITHkK9d7qbcKYRT66Et6GQZVrN2Idwho2ihxCjuf2jrrlgnjNqfVU+Vs2eCnhZvRFrs6cCZZ6+FRu4jOXJNKcc00d4Fyi8rNvW0cg8V2rRsezlnJZXYNy3+X9as54RGFRjubccLYjF0rTituKv+br59x95vVn4x5zGwfP3LjCa4y7IS9cn1GNcRpyimNUNmofgLxGDiE8hPtVH6GSM+oZ43sOxjuV49STeq9pi5QaQkA53rTvcx/HrB6TjSm5DTszMKrRCOdpgUGVQ64yqr11dT+bEK4uvqt+9UwImzBtYZLhydM1pTipkwiGAFq5gD0FCJQBeAZ5DVUABgEXih4GMy3IGooUbYhpY0p4hFchvA0ayqCTzlQlQ1wPHkIUlUGVUT5LtpapEoJjKIwRIqqT9iAAB8VZk8r1RerE3+4rVSQR3sK2T5W51iIiunBv9jbp/XSSiueMp7y21JDRxRtqyOgpHXGKhdBZtQ3TEcIxka+HCUAt0yRFJHXDc8S6gD0eUlQGk3SfCyMhmHosPmt7SWDohYGXkKSSuYQ4h4Qyk26SQioVOA7/gWB+duHztcjAIeXohXu3JlCJGKzlzB1RNIfqnsSAbc4WbezPRFG9f/ycw3K5P783tiJ7AWgIYMgwC0C0do2bPlKEP7P8P+XkhYf0IURTRSzoFUGfyTle+j2edWUuV7Y653UH0duZw6XENRM+VTzZh1Wp4f3VM6mKTPN/1RAihBli2YnVKCqToL5Hfs0pAmikFg1T2R44r6zyx3lgqnqokrspeU9Q+D54zFS6QJbFfMeq6Or7zvMElWN6k2EAxDqErDKavYS4PvonPSg5BC8r0Xk+0qrSJLP00Gh/Zv8lFjQAThkQ1TsTMiqqhmoIqT43rtEKlAk5YtgmCCHWIdSQUS2mkpd36L303VJANDDS2NjLo+5eU+vC8lmnvHztt1TFORsR45ljeSHKuYyfPmtuA8/HPHXJwpUtZPTQjhBq2D+OywSxyU9Jt1AjwjilIAqKTXkDd1aEp/WNbr7XojVq+NX5nlFEmgvO+THrGkoaOQ6YQwhdSeU1Izy4pqzWSaBXjnpWNqrze78udGe80yrS9N7n8FFeW6tX57GtBZfU0KjRAmqM1GgyfG56bH038yrv9/QkZEK4pxHfzffLC9PD86ehQkoCGTrKJmieCcOIsqdAv6vHUGPFs2DQe2JQMxeQnghd2FQFm5LAZpHr1GEth68CbVNdPuPS5U+Xs0qsQzg816DYzioaox6SLHzzK9JwSA0B1Ymcz6EFR7RyGc/jJMXJdGfWV7ZDJ2N6uXDtL9Y1CG9Z/HI5vRZZUM9WzkWcmrjVaovfSY44UfLeamWNiTxISvOwVXKXi8L053XH8Zz23N0EzWNyoZnheQfSlsN51EN5XiKE9C4O2A73ZDvVE6n343tRL2K809gUdw3r4TGae8i8FCoT2YKv71y9uWpRppLJNlKx1FCjzy5/uFXY3djKkA8bFR8qs4H9dGYAx5yG8WRvEGWAegJxTRJBKMtQIBiKFMFU41BttmFqP34bchsjmkDXCOWTMTxxnsuQz8oZD3yZFz3kjHM/MVRjnaYFSPdZ8VEjPYYxM/S4vAA97zEmOkMJelyDqQOUbczXy56xNpa7uSCHjMZv41xXDZOLcbtyCRQloXweJYB9ZEe9b26fjiVeB8ZFDQdVj59ikBdG79+JECZdM4/eKRoWWWX0hGUsTD9URdZoBxr+GFnCPEINdZ+SX0os1UOoeX2UhXpsewcdKaRRr2HU5X/TiIgIjixbNR9d56NZc9EXupDR+3Qho8RPr6vRGgyrJSnkkkWaptF7yiQSh7KSxJ3EL4ee8jm1n00ZOIZ2Rl+c5T0OOTrUMuB5NEZcUtchZMio9lfVtyiDpyqPZk8hi4tRRqjXUJdmacafbv7QwkpZpudnV30PEWOsOk9DJKPIcJ2p5cd4vkNGdyadd+9vJoS7F889frWpkFHmCHLChJWF5I+eQ5BDCgLsw3etHMowIxxDIqghnlTOWIac19IJWkOIsqeOQpTnQUGAZVeFDycu9coomcSyE1csn9cI4aAwj0PfdHLfWbGYXjHvBB8VEwhoTvBoB5eX0LA/FfD4HZPSZix0Lp5RLhY/pZjrc+YS3Zz4sZ8TJcnYlbXK6FfK9eWs5TNHFUE5SedQGO2cJFq5WEn0mfGGyZxFYUiocAStufT0wRuJ35kTmNOTe8tpV2CGeYjqRZxKac7X5HfkEB5YPYTHLNynNVjbjXuhPbwHSeyGxYVyxw7tI8Oz9mRL0qpX+swGcjhM9PFJibuWaI+2dTl1nSW6HS9hsPkz+xz7g75TTrwoKoOQ0X3rwhMcT+jv2mf5frWiZ/asMGRbleney91CscdeJj43lQ9VMHkNjGP17PdeU/F88Dr4TQ00+iy0jlPpgRzZWsuQO2Q0qowOGEKZHGQ699PQp8fNIoUaNqoFZLKM1zygkUyREaiesWw4wzmcS2g8oIKr3ggdU/h8+8LmkYdQx1U+dsromNMa1IPIa6nCOyjBkOWR+6RhsOz3miKws9SBUb/WIludF6t/R03eRg6WbjeUW2pUzG3lxGWsQxiVN+ntyznPU1El9NThmlo1mnMBSRzvqQSwndOlCFAWcV+8z2FTcqfkceozyRyvqekKen18pofwiIUD+psNOX8rq17jfpgDtlTDJZ9Z5XBeookXBfFjcbBoQ/Xodp5A9rOcL65eX15H+xcNE5TrvA7+5uWs+nbUHqA6F9YhRP6sFscL7MfreGajinoQM3nU/oVw0vYeOkPILG+inpP7qI4Ryu541pUL1+clybLhic8FQjiv8l6x3hOfTQj3BMqreI+pqnM5h0QXog8BApVgrORx/ar2S80vQajoiFjWfS08rO7XogRt8eiOTPIxNRxAiaAKCLVwIQSCoW0qKCmY8uKpOAbKJizGly9/tpxdImRUrcEMY+D9Z4XTURhnAZ1LgI9DYYbCMHHeyvwBtUIy5KcJ/zTR4xkxmW4FgUyTDoWzdh+1qjJk9KzlmlMjIZya8xe4DORNQ3La9TvrtB6nRI/PRkJFwsb9bBtIGshHm9BF2cn7mCdIUqfeRpBO7tdn7vGV66IduaiMtkXvg/0khprr2N6d5ChmLyBDkgZL8dAqVa64F8fl9bj4fhkuNUX8cj5K/xwy0U/t+1RdduLkRghRTGoIL9VJWhem1zEyeCNDWdJwHioCmv+hygKP131KDjNRxPWU9OkSMZQJlAdaXAqyhmHoLFYFK/PW5U27taiM9rV7+ufsIeSSQjT46dIROXS/vTepHt36f6eo5XxA/EbM8VmjQzQiRPsOz9FjM/HDd4aeTSmcmRCiSBHPQUQIlp1ADiEX5KYBgu9NvSB8PhzDtTRXVEGs12cIXpMTnUkSx2u+bg6F43NpuGj26uuYjWsHVdIIDkYTYH97zm5+0GiZeI7lQkJ4XF17NYc80jM4hCjG3blfvWj0KObiNmwvCR3IVK7OzLmhEa0u9HXK86ceQp2bcI9ZHkCNGFHy2fpfvd/F5Zqy39L+hR5CJcHMb2euOZ9Flw2i9zDjQnk5lXvf+rTI9d6whZx1FIeDbBMDIot5KQHUUHwaj3OBMLYXf7VPDc8RVUaxBif6K+V9zsHN5JAVpmFs1zxwEuMpud+eucmFlbmFarzmM6p+NpUbrrpXjj5RQ36uWMyw9HmOCNF+sSc+mxDuCZRX8R6qIFRtulfsWHmO+YQYXLQgq8dwlvWfTe6r+3Wl3zlxcX2qnHPSx6J3x+fwrxyOw/so+aOigL/ML6RSSSGF82AxZlEZFYQh8KOiVZ7I1cLbJpoWjhTLTmztLGRKIrNXcfCsRTiR5oPRWquFYFq7O7KWLY8aWoi2kDzk4D71PDGcB5PR1cs3tRzCM6rVUHPsNERGC8aoNVUne81jaBNS5+XToi58T1oNdDSJdd44DV1sVdcSiWv9R3IR1ZuoxG/Ky5g9hSCEKCpzzOLBzSvJtpOUKnnV3wLrgUBlqzSfS/HKyist4kq+NdRKvdpUyjRHkQsgUznMSlNroxSYyUoF2g9CeEp5UC0yEGXIsWnYafaY0htDZTbGSeCWJ3qOHyWOOi5Zup/X0PHLvEIN9c65h7qAfcimWDsUhUN0iQld/47POM8hRLmqNGQ5DXdq1GvvdGLpIBaToeEv3n0YB6eWk+Dv/ZgQS3+WudEXQgIo8WLf1SUocvRH9jSoMgolE0ow5D0IoS47of2Pz8F7M5dK28PnyF7yqfsH2Yz5QQ2HLCSDazDfT6/LfLI2zmaMYQ2vm1qqhuGiHJtoy43ltlZU5oTqIeTGkM54xpBKDOHM4e48R71y3MdiMGzv1F/OCziHIaBqYCPhwtwS7yW2nFOeIzFyKKreW8//QiWEqDJ62OK9Wl48Ns5vWuCM+3uQug9TBj/8pHgogYxn6OaVDtuW3y1zGt+PHst5PYcLQ+bT0BznDRhpNDeMf+IAACAASURBVBHbndMAEDJKQsj76TjKHnAco/vwnfqYrmOIa1Bv0/1sh95jagmLwHBlaLbu12vk6JO+YGHXY5QYNudEXXnWOYS5N6/OdxPC1cF1j101lyFnBVE2QPMEqTAwHFRDRENAxRqGXHZCc0OoLOC4HEJKRXPIYRlCGJRc0XpE4aBrpdFqnCsX4tq0bvG81obaSoaM3q98Xcuj2tIWnUc+R5S5z6ETFFBaUjwUj1iMPq4LMT5MrE2opmUB1KPDST+EbZcf0E1WEJJc6kEnkiwctaLlMDEMyfh8l9kSe01VEW5evLERwl549wrIMFn2lu6J0CScp5VANSSUOXkbarVOTk5KvDApMyxzFvFjURt6Cvt+Wdup1UP7ZxQPo4aP0pOIc5C7iA1FZQ7fcVS579r9y9ZuH/bvzMuons0phYWWbSXSbNtK7178QkUoW6BjTA15SPqe1TOQc4uyMsZ+y75GMqnLTvBeVDJUmeVv+JtJIb/3zygKv1YGZig3x2O29Orabz3BqP1fxyzuwaIfDCmdpUhQkYm2p2iG5e1zG0KUq4z2A7/1w4j8iPes6mTIbHr88rvT4jJKCqeupQRdwzJzRdEYF+NQNu2H2QPGgmL8O/RHyuU1XcjoFTVs7uRezuM62qdyX6GXm57oMV6DB0T7YR4vgzdlWFYgV5JmnlmWFdxP2aE55vxtap7iXKLj57pycx8y2trYGeFICoelKAbjGI5jNeUcAsq2MuQf3/OasIqXGpgg+zVnkMfpPkZpcJ6gt5EyastS9c4u1l40kULAY3ldXAvLThy0dHC5TyWErY+LZy7nmnOuzPmOvJ6GtYIEbmjrAg80HWvKUg/IxXpwDV2aQ40J2q9pQMsVq5kTqtjmiJtmjE2GiM8vXtgWpkdECH+DR5JjDX/VM6meOfxGD2HDrl0bTzEsE8E8brZraimK0JdCx+LY49jSCsH8bSosm/dXo8jUcjTct62mCHx689vmsqq09pE98dmEcE+gvIr3UIvx+oWN1cK+ebSkRJs4OoWKhJA5gzEwB8VBlYZ23kRpcl2gXtedUmsYP3NxeQoAXY9sPNEMGQgQJFwANQRvTOkqnKiUwmL8haVPlNMWHtbnH9IrqEKHyooKLgprXcxeLb/Zu4LrcYFczeviBJ89hcwxwHmYEDDp7FNzfpTUqedoalHfnHOhYTS4zhe7KqPZQ8ilH4gxiR0nTV0MvmEsEzIna3r3SMqm1mojRv1SE90NcU4LqWx9L8I1QTqBCb13im8k+0cVOiok0W/DgqreQg1NBSHEOoTwELINOyOZusahYqOeSRbKUau2lkCf8iZqOGp7xo4I8f2Ow41pPQ+ypMqEegk1rwdtVc8f2z5FCNWTmcOKmN+hY0/XkdJQwFlFoyhPprxDra93ikL26ON6qnDo+FOPZVw/ZAALDajnBzJloSqS85pTkkNG1cgX7y88rblIGI5btxzVCbHN8gbqb7r2o6YBNJnR5hT0qFiyRJf1UYOfRmoMYy76vfZVNfzxOPUwYx9CRq9bCEKo/VDDjNUbGe3k2qvhwdAxkMOsM0nV3+Na44xi5guq936cj0cvVhgK87wB0kFjUI48UaMhyYcSQiU07X134Z05UkSJ0YD/4JminNfqzwyjp2GNOeTZmNYbn7qw+2yIo2ahnkWNDqHMhlzWaJRslORvKCoDQnjvhX37YmbqqVSDXfSP8GRmUsj8/6nQ1UwUKY8whzOPn72AKQKU4Zzzt9T3qpEf7Rr0mgqJ1XxTzocqV3uDZTfOEDKKojIbq7ZDgwQM2Zp/zT7M+YJFatjGWWOFY1GNeb2saOQRJHAcRqrjV4/VcZSXGusFUPchewe5ZqiuP4tlJ87Z/NcmhBm8VfhuQrgKoO7JS6qHEIQQW84hZHhQthDTG9gIYlUW+LuGFTVh1oUe7WzdKZ0UqSTgvppDqPtjgg2lQic/9QYqEdRj6EWEhxDLTtx/4Rv70B4KcPxVC5t+nhK+OJ5eQtwLoUBaShq/59Ae5paBFGYrYG5HPG8oBq1tXQ7CriYl/s42c3LEBHPN8ldayCiqjOJ7Jn4kGLQAr+/W6Zsiezopg7wpMeTE1Csd4sUj4cuEUclce/bOmo3POWSU5JHjhs8auS6BF9vHtkOZ4DqEx1VCqN5KehMVM14jh7ziWCXQ9HiOwnU6hYcKEc9pz9LG27igQQ474nORILa2dOfQc6xhxYFX5+npnj+8AWG+4XMhZPS08uDmHW99qvtNw5JaqfluImc7dJKmMqGhoXk9UB23U6HZI1IrZJiKwVTFujzuw/I8GINwH1VeSA7xd57XpcqEUHMGQ+aMlxHSIhIa/s+0gZxnqNfjAvJToWh8t0wdQJ+h0qheAfVwaYTI4HXrwlWl30RfjnlBj2PI6MlLp7Mrd/1+KFihhskYn8M1sjd8KnQa52h46OCpGy+fpF790fM2OTykE7AN7d10pEAxacRY5gIcp0sHtfZ0ZO9LyzVkdPHWctzyke251eNHQ5Xm4THaIeTJQGZZlIxtIpGC3NfK0ZrnTXnO62RDIY12uCbJZZb5fGkaZUKDn8o1zg/0QtLghpDRA5cOKocsVkIoPUDXqKUsVxJK2aiGUI0E6dvVfaDHlQSP7yjP8ztbVgqX6kmZFH9iPYGpKBCeo9VllRSyyigI4Ugf6AijGkOoe6lRo+kBDMuUSJCcdwujno4/XQ6MWE15RXWdwhwNlseejgsdP5xr2jvrlhnavrxlbg2A0s33yEcTwj0C8+rdhArCqfs+vtYarLH11YqKpSe4MfwTgyuKB49DiTB9TXkGaUEmWWyTR/2HQg8kmFQmxlatYXIOQRz5H7Qu5SRolKtnyI8Kojg3yADXlaKHj+FrdyxsalVGUVSmn4S7qoh8/pH1tikHsTFvkAKSSkBWAEJAxUarHAQ2PYK0BKKlWjxGJ39OjBSymvegPUOLmOB5WLhkuFZYPNu7SISQ+3TCJjGiZwwT/lTlT80ZJOHC9TCBIlx0TW3YlroYuG6cXHmcEi31DvJ3JX3ZO6i5gbyHHsN9WrAGz3HewiXNQ3j04oHtufI9qGS0gi41pDSTwVzYJuczZqWC1mYaAkjCSRA1r7C9jz7oaFzVD79pPguPZf9QskRDw+B5HIgfqoyeUgnhPt0IIU7aX7EPubEYB6rotvdSezbGnJYfx34qypzElZxRedC2sv2ZXHA86/pVOJbeISoCOTRVF6GHbKLVmORmS9k0tzklSgjXLWyIdbrqRoNeJnQa4jmVj6n5Ojq+SQZHOaSdgqZhadnrRpmtBjy9LkmeKpTDmB8iQTJpQh+NKqNDyCj7qq6VqXPS0C/jDm2c1v/rnDBV4bH3fHUhe9kDmNcRzeGmOwsFbe1oBqahiijnrkwMc+XOG4UQTpFBXJvL8uTQd3r9iLXKvtZ/GH4qxJHGPpUrOK6PeEiGQdUsKEvzNXJIKdqBNqMSaPYkxvsbokRQVAY5hEeu2a8vEsb3qsfqZyWlfI5+PhbvoXrwMlkbz3zjvGuSRbxzVhLnfWhQzovbj8ZDl+LB+7P+AA3YqltdVENGkUPIZYZ25qHDPZSUaSRI3wc6o1vgNRiS1FuI32YVFMtjVCNeNPJqaq6I99YZe+tfjTjAbzrnOGRUe8zqfjYhXF18V/3qeR3CxeXII2FRGeaVbKtqIferAFDvYS5RzsZPLT5Miz1DNFmdTS3FOJ8hOpoviP20Jk8tNcGCEytz/TS0dLHcWhem1yqjbC+tTDl8VEOZIHCiVldsquRQIDWcmpcqprpGlrqwIx6jVSVJCHEt5g5yMqF3SPM+pvIb8mSky1vogu5oEYvKsMqoLg0xa/kG5nVw8gbhY04eLbPERCd49RjCcovvJGCtXROTayNQ3XHAAfdhvqIODOzHtfDszTrbhRD11u4Zo+gzte5chIweODpCQ1izhVS9fK0fdtZ3fCY2OadFrdc4TvNb+nsJUacyRkLPPpCr1bUqdd15qkjjPOTXTIUZ6YN+ony4EULklOiyKejX6hXUdwdDiI5JKrs51IgTMu6XS/izDZpHwvA+Vn9sOEmIERWOPLZVccgKTMszrB5ByCXmggX+82sxnlqYnu8jE/JcVKYf15XY5UXpRwphVxBMPQdZ7mn+jxoQQk4OYdFNUe7CNkPJhQFwXN4+K5bD84SnjQaLTTVL/NrFy1vIaC4co/nu2l/ZtuyxULmgY4oynuF8LChDed+erw+xH5PL0XXEUzguqhLYaAEWyBddtkDnAN1/fbm15RDCQ6g5zkN0wXRen3r3NEyT7aW8o7xX41oO18c5IIXI2d7ZEkNNbgi5VGwoTzV9QGWstoP7ca/PL1/dF5XB9bJXEfva3CERHdEf41gSTg2F7ftaN4fxe8tV72RzjgJh1E7MUyAzCEWOLRvzsC8bDDRUlGHE9D7y/lkfwf5MCLPRdGzqD0LILRvGlYxlz6KG/Qd+w3jm96kIDz4/lzjSnEIcPytlSCNQNJeQ2JkQ6uhZ3c8mhKuL76pffWodQhaWYT4JQ0BzY/L6g3oclQuuQaWFCHovQVp0Htef8i7k3KXBmxcLWlOQqLDhBM5wM8115OSvC9OrwNMlJ/jMg9VrWDIiT0IqYLNXUL9TIcC1MRlwyYh+culs0LoMQback9pqTuGsSZ77VbHAvRgyeubyKf2rVW9fI1ndL3xWkrnAvDQPIL1nOcQy3sewZYLY7oXrdGRwmHziE++leOFY9dy1dqQ8DyotU4QZ57blKerfTy1/oSoIB7UcQpJSeuv47Jrfx2fG32zBZo4jLNWZWOfQKT6bKjys0pdDkfQZxsaFocc2DCWUuO9HnUKlxRPkdZRPlo/0VUahZJBcaWiyHq+ej4ZBU9a70FRpg+akqOKfFfnxtbtCTClkEU/Jao8twqDzaCkBzUo7rsswxazc4zcvO3FgOWPjk6pneN8+FzD6du27lTxrATDKTXoONWxUUwB4ft/35D1in+ZxqoK7MzLHa2Vv4BAGOuTQ6nV4v1yoiCGjWHYCWzZU0Ns9S/kd7hstyxUftT/zs14L+9SzF2MdJKwbQwxvT/tU/g34jq+sXigt7MLj8fsNHSE8uRzVNzWTgIZLJzc0jJMh9+oJnCIUakhU+ZaNYmyARm3kyA8a+SjzVUbTc8ioDXwHTjQiUm4qObykZs3vX5edOLx6CLWdOV0hpxfkYxnSytzIXMCG8lbzLxmSG31gWI6jjZvWD8YVT2M8jYtq0ZvI8P/eGDdBnDUclZ9BCGEM2adKbV3nVsdXuAJibs/jLodmag9UOR9tj3iyGIvjnF9831KluhrcdexgHmLkVx5T6kXU9uC4WfOO1yGckkyrs8+EcHVw3WNXnVWGnJVE4RnEchMY3n0F0V4JDAVi0+KmGnKEuPRBpNO6nBUJPBgFiVp29IGzZYhChccoIZzKI9S1qGghVkKIfQgju62GjF66/Ol+HcKVYUZoaRQSUM8Qq7HR80fhzQqjPJ7hoLPWJ1KBybwDPmv2BmnVOA0FUi8QQzrz5IvvObcNb+qqLofw7I4Q0grahGvnneNkqd91MlbvUWt7N9nRSpwnZk7cmQTy3ep+hJru6DQdTfjXz7S+4nwqA2xH9LXYBk9aFxZVnw8ewkN2HFaOWTv2ECrp1GfKCkm893F+Ivc1TwEIb6fkDWG/Y5LM47X/K4GjR5jPQvLHPqjKhBJDtcqyXHkrcd8poejX8BCeUR5a/YNr+/7N/q5Vc6lUqVFEPR+NREso3VQIHouD4DlI8Hg9rQypFejU64RjuGnYoCoIIww7izKvwZwYHLN5+Y65rTqXQ0aj/0WYPvMCc0GZWWQwl3dX/JVsqTEwL9uT3x89giwMRrLfy4fm8Rtyx6fC3tqY7Qip/qWH8KSOEGYllveKpYrWNi95XkKIijIVZx3v+vwcR5ns8RiSYlXus0c/QspDgmmOuYaS4zctZKLep95z18mgm2q/v7XlEB7eG620zVrFk/szqWvjtzN6KZHizJ+Lfun3HL2i96DxT+euWQa9eL8x1+h8Qbk9yIn4RMlx8fK1PSHM5HPUdyX8VfPDG9b0+nXHqAGVcpuROO3e3fF6fc0Z1xoAOZdcjb0aNon3z/6gcj7PG/odBPDiWlTmmFpllCGjxFF1G21nYBdGi2zYUDLGNoDkxbgYqojq9aYMO43kCnGkPMjLEkVbB0/jFPnTKIRoe8g1ewjzW1297yaEq4ftHrlyLkOuRQS47iAqjyrhUwWC6xTqwsZQFEAk8RuJZZ9nWAvMMKeHD4i8wg2VUGLTtaayMJlloaIHcZZyiPuRfKryCQF28fI55YEL39SEEu4NRYDKMO5PkkeLmuYIqnVV1wHKygCF2VSOoAo6Pm9rS6tKVhV4sRJqmBBzAemNmrL0ctJjnkVedPfqpZtbUZkzl0/qyYvm7/GaSoQ4iUyF69D71j+HeP6UxOF3PIuGjmalhsf0uXIppDIPDnobGTKavYokqsQL539q+fPl0B1HtJyS9lziUctWeVqDcZxahokH28NnUjKIzwyTGvfpgRxyUtZ3pAqChgqzrXi/OF6L0LDvQBHtDSfdsicaqtaeX4rKRIhnhC/lvxx36uXuixt1CkN+H1QgMH6wnAu2vHYVDTNQwBnWp/KHykJeiJxKCnKL4TFURUFlgHoR4/4Ihd0+1+tSUd6fvfHJdcxHrjjD/pknroY9eg31/TLCIh+nBJ7Hq2dQr6EeXN1PYx725cgQKol4ryCMeJ+6T5VLhiDTIIjrgRBevfiFcsrSGa3PaBjoLC/kVKioegbj+uO1BjEuIbtRBRR/83IxOWQ0E0F6ETWUUAvFqDcQ99elhlo/7yI71HMF+cuiMieKh1CJEeSUkj31EOo70nBZHtPPQ0lOk7TlaBCG/2dCl+VwyzWvUSiU63w+RpZkMsPn0fs2Y2Z9tguXrmmEEOsQMqJjat6kMZNGRE2F0OM1fFbbMeU5peGOXj4sl4HjMF+ogRfPNxVuiv05CoQGA91PY7TKcZxLQnhcrTIKDyGPi/EfG+shRID9UCRP3/24HwxjCONZx1q0N9CinKAHXo3z+lz5Po34iiGQv6u8z6GxU8R1aXlb+cTmv3GV0VkvcjfuNyHcjWD+/3GpHDLK3MHttTw7isso4WN5FOzTUCIqEhz8qtRRIdDCMww1ooU5V5jLCcJtEuiswlMlkuO+g/UIeYUaxz6lJOLJoCBcUtViFJXBRgVErWLZa6iW4SnFIIdxDFbDlZVEZxFY7leFgAvB90Kxm/R7741MxIPgHOdJcD8nuCuFEOa+lwlNDv2kAqBeOW2bXk9DOvtwpHoACS48gag5M4TNxNm6j9ejMqTeQ72XhtLyumrlpXKA3z6+dFEjhEevOWC0dIaGlUa/GLZZVlglgqowtfOTl5D4q9cy+nD33Ol+U5bj7BmhooFTNSxNxwaVSpJGFJXBGpwHLOzTV8Rlf+qNCZ2HvL2Prl0aUtR7OvrQzjgze4JIKhk2ykq/OW9NZUe0fShWQFiUKOo+5iFzDVEuPaEFTnD9eV6oeFeEUMP+1TM4tY5s9Imx0qffWfp9nRQpm1LgcuiXyuFsDGA4Wdx7GJkqp7XfZEKIHMJTlu7Xnzsr7CwrnVOh0SCC2GgAVA8FC4fxd83xolcQv9HopyF+6v3Py+Bk8hjjPUIQNeyw4dPJHXqsrl+6tVUZ1ZBRETV9lEAbv/C+1b9aWTMvB5TP5e8N/+S947Eqn7WN6xZRBVmvGO1ndAt+mgoHxbNBlm+rkwVJp15FI0hACO9dUwTusyaqqasHkoSO+3KqgJJDnDuVG5lDSxl6yvbgebh8COck5hFyjtQ5X7Ei8e/rEXTGS9UhNARZI0H4TBcuXtCHjK4M8YzxROOGjkHqPLpmYTa2hUERawuG/3pU4bl+CydA/I5NDXnERxetZ674rAiB1neaET/ycLOzYOhv6FdbTQjHQ2vVvpkQrhq0e+bCSgiXq1DGgIU3ENVGMbmvr59JDqmskSQqMWRrc9hoG7hShIDrEMIr2IQy/nXLUkBx6BXHWgxCiSN+U6uulrtXq5CudwOBwaIzOYcFiimrjCJsju3OcfF4ZggzCiBVgKP9Q7y9WrRZURTH5GtSWaAXR6uJqSdNlZIB36GoQJuY2vXHGycdepDU28XQRUxEWIfwK3VheuYQZkKSLZ1acY0T6NRyEf0EKPgwZDWHAZF8cUJUT1z2KvYVUut18+RPC7IqEGxHLk7T3mV9/k+Vz/WEEO1icZp410NYkt5XLcGc8LWIDBUo3ptrYjGElIrFqO90RQxUqaPXb0op0PdOTx0naLW4x4LS0wt8o6+CEJ5UHlgOqEFE2NQzHu2rylbnMdSlJlQJ0XHIvBH226nwT1XiVQHA/UDgMFamqooOfSq0xqlwP0YBcCxnssJr3FZuKRduesdcWoxzRMiQJTzIkBZm1UV4RD8YZLQuKaRRH7kCqb4DDR9l0Yd+bFY5T8Ko75T9IPol0hVCqdTwslBgY30zGgF53ei7WLd1YBmsMnri0qkjIjsVasaiM3o9jlmVD1PhdpT9akDRNAk1GqqxDNfNxDETXaYWZOIQhCnWumvt7AgZySBk1HU7as9fvLkcX4vKTEWWTOWPq0dMDV38nJcSYjSJtoGf8VcJWg7NH8a49sUxcSP2fBfqeeRcolEWGhFy3tIV5ZClQyohHC87oWGqen3NJcyGsqn5rzfwpZx45g9mwt6TzHpTXduQBjsWltN8v9a+Nl9E2LQaKKdIkfbtz02EjGajCj2DSgj5NqYMN3nsaNXpnEc4vNUhP5LGvVmRHZkQqtcwG5eif8WMqWkLWGZoXtedVcz3xGcTwj2B8iregwrChnXH1BCimEyoJHDR4qnb393f2vXrfZa7ypv5O9uA3/W4vL8XUt1x2kaeuyvYcNz2pZr/uOZeMw/N18L3xQWEXEB5jYI2X822CMEuWOzsWrwnzpm14Vr6e/6u521f2lLvvb2sr8+/s+Pu6vPRy8y+pItf81qz+lheAxPHTy11kvvf1Hk76rOtqWFxs665dcftFau1Ze3ihtbnp+7T9zMJXVElOp9zV7HC8cR+qh9M9Q/u43u+s+fltm3dcUt99o2tP+dtqn9zH/4O75ELdw/74r1P75+FD+UBxjnO1XtMnaPjUs/NckXlhH7evO3yuSaEB298UAsTnyKEK/sCrPCzZY4eT5mt8jr/rt+n3mPft0TO3VmZ3uRFmhOwmm0bZ7XfboO8r31eN/yO3/h36jfu47Wm+iSugU2vx+N4/Vn9/67sx7WwmMquZGCWe/Xpm7xf1603rG2dHGPN+zK89yl88nmKdcaC+HA/38mdvW5+R/ou9NqzsNy2vKnJe2CX23lX8N9Z/9gZjjoP5vG0q3lkan6a1QcVF60Wv3npltb3M247+57vMWuc3F38OF7zmL8zMj2P9VmyZKmGbn950yfnUt5/Ne/l7pxrQnh3ULsHnUNCuGbx3j0hvAc1z00xAkbACOxWBKA47Fi6aS4VBMr7/TecVuX9V2/Q2q0vxhczAkbACOxmBJYrIbx1y0VzKe93M5S7vJwJ4S4humcfQAXhiH2/qRHCNRPegt56I16UbOHKBQaa9SZZGLGP1ezwmWscsnqpetzoIVizXEskd+Gl+B3rJGJZjFkbfs8bl9GIELYocIF922sO4Y1bv1COXnd228ffq89oRW7MrrymyLdEaC03zX3iZ+CxYXmfdm3cPwo2xHmKH/ZtrSG7+JvD33h9nM81IzXvioV8xpbdyMMi9liEGiFeKChz29KN5ehyaruslpTnfbiP60bmnK+GZXdtDdHTz0OlVlTtG4dx6flDPxuCYHMYmYYFavVCPTeHzuhx/Iw2Xb54Udm4cECrNJq3ydy1ilnrJzXEufWVGu42tTHcbhZWeg7fSfY65mfD7xgnU/2BfYHjgufqWGAf4/jBMVdtP7ccuu7k1ifZ/7lQOb7PsmJP4z6MO/RzjDMUpcJn9oXWhm784i9+R8Gqoa8N406fCeMAm4au52fG7/RgwhMSuSyDlxKfuR9V5665/b/nUkGgvD9+3+9snuHox/FeVHZxXLJfUGbhOMrHJr86WZn7+lS47s688FPerixzZ0WlTI0J7TN8LvTtr9RA+UPLsf3zsh9NDuS6k/IUz8PPHBvaHo4bHKOyQ7103D/1N6/rqCG4PB7yZn2V3XH/yJvC323t/Y2XbYn+P5ajCBfdUitrH7FjWHaiDzWv1xpCvYd8/JyrvLM0hugz46USuI9/tdgP761t4DJRumQI++Cu6gJoeC2eH3lquuzUVWuuLPstH1gOWjqgDz2Oaw845RDGqYJWOYyXz8zwS7wPzps5n479LPoTZFLk1eU5NIdg9+d1cxDHF+8T8nHI0cPv2j/x+dqFL5R714JC+yzvuyJqhv2UsmBKn2vvsNM7+E4oJ1Qny3pN1tlmhfK3a3ZyiPqRyh/1sDJdST2rvK6O5Ta/1qIyl9zxnrmU97Pk2mrtNyFcLWT30HWpIJy67+Nr9al79cIpDz5VFEEoIHw4GEkwRgNR8gKZ+0fhwUGueRU8l5XjIMwx4el6NLkIC74jAKRNil21QQplrVqYS6BzctpSiWZedoLCXddkQzI1kq2R8zcrZh/XbHH3sqZUrgKGY3JFOJ1ENb8Cn1lZkguUN9z6ZPJAjDlqxI9rUOVCKsxz0zzBK5e+XG6uOYRn1TID8U4iNy8n1I/eqxSAQTJ/tG1lTld7rro/1pIaln3Q43NFsHi+uBvOxWf+Zc4KiwewTTye7d/epQzx3Fl5Dzj+kzsurcrBweXYuuxE5KKEghWFZ4anzsVtJou8dHkjzGWcqq6neYma86gFClof6d4BjsdnVuTT/MOp4jZapjyXJefTaM7IOcv/W9/8A8v+deTnyoc8Pgj4UPBmIPfaK2Ipial1pfR+fBdUhqbIPfNOVPHUXMMw2kRFOz0mK3VZcYb6igAAIABJREFUVqC1uF+TW0vb5n7ZCVQZXbMQlZ11Afq25EQXHr2tykfI9hhbITn4G4vMaMGeTEBmKcN53GciwsqCUcwi1jDLOUYjmSQKtbYxG+VQVfrKxYvLyUunt6JHzJfSe/RypX5gX2duLQvLUE6wT7VxKqSCcp9VpTm2kN+HMcxcP64zq3mBmmOdqx6rTM9mT81pgzxBFU3mTvO3L9YQ+dsWbyunLh7RydiVhVgo9gb5uTJHnRU+KduBE/P2Yt4a582P8qZFrlLWUt7xnkPhsRDmnEdUJnEeaX2zmyf6qp+SN8pzcK/zd1zbisocujYMYJSX+f6xFETcl9dHwRs+G9ukGOXlJbQIjRbjyZVbeZy+T+bRs6jPLL0A7ci/aU55jIXIM8Q/5hDu2wx1tY90FXC1P3PRe+LW96vOAIGK0SrnsxzWcanXxfyg1d4brp1M4ZjdmUyn3Of1qd+xOE3OLdYCNq4yqm9ldT+bEK4uvqt+9akiA+qJIPmb5alCA3UxY1qmNixv6NvOiZXkTgdrVg6oNOr6TyweoMplCJRBWdDlJPQzySCV0JgIwm+Bhem/sPSJcv+FbxxdiwU0qDRAKFJYsUgHrjMkggeR6AvOdAn9FLoUzCwEQCHOv6wgxkmK9yIpZHEY/g7Sp8VK2sTQrXnHCpb0oeoC6lrABeewyuj9Ky3QwjNsFyt5cnLMZDGTrTwZcNJWktf6S71BlNsetAMeQ+LHyR2TMo4n0WvvvRFR5Aqt3M/z+2I/HVlV4wMVjHOWLin32VH9Bev2b02fMlDoM5GctvfZEVZVFEBWtbpeP7HXhrL4gSpp+3RKWy5aw3tqUQPuG5GzjjiyaEF/njRa+xjHCxRTKAkfXf5QqzIKBUGNFyx0waI00X/VmBEkEf2ZlecUp0zOYqwMRUFoIOIYj+uHBxv7NlXbvlr2MYZ1cXqtVKqL3WPc8xlpTKLFX/vq9uUtc1tkQKuMghCqVR34q6eJBWCyh53vmnOCyj716I/GjrzfeN+dt11lQCfPh+uHfFCCiPOw3EguKKGLyuc2sH15HUIuicICMvjO8aUkkEpyy7iU6pmoDJrlfpNP6Tm4T/GYIoG8dhCSeHYlCpCZXFJiajF1XaQdz6FVP3EtEsKTFw4fFeVSeU8SNBrPQo5am7rvU8RNySBlesgnYYLdxdXo1mREdxwNiDxHv0/9ls/lM2g/wL6Llr4YVUYrIcT8gW1K5kOmKyHEcUqC+/6JeayT+a2fypqDeG94n1qFOxdlY7v5ntW4m4uQjQ3R+nYG3QSPpGsja7VpnH9RjYjBOoQkhHx+Vr3l2rLs07xLGHYg84cxO0Xesn7G86lvqS6WySDHIIw2LAQ4fsogkDQY9u+gG2u5OI6uizvP8j5juNrfTQhXG+FVvn5emJ4hXnDJa7ggK8oNAzGUBw1toEUZigTWFWQFuJ2F8HER+lw+WBenp3UpLMYrhYJCpJ7BrHTkynF3lM1t2YkHlEfMFHZaRTSC0GImad6G5sGMKTsrKOpNhGDWTQkgJ5sQzsMG0avePl12ggvQKwls18GEKstR8K5K9nSCuroWFblxzfV1HcZTGkHgBD/V5ehBIxHSiZSfQdwaee7JUlxTvX1t8usUCvxV4qbf1ZPJCZ7EkIRQy5SPLayDp5H7QSjZPrQB11RCqJP1LGJIItlbdZOixHqGimWUFY/S8NwfFQFrj5H31doEbBo+Q8VTKoF8v6MqrOlF9V7UVl10rIL1bYMXu5vg4SE8vTykrb3Jyrcsg08FRJUqVRSimis8HggPDQ8OsQZJ7JU5UY6VKIL0UbGPZx8IIcZ76yf1HyzA8TlGh647x9/VkxTXivaoUqDeSJQhn9eqc2oARHrAVJh4w7sLQWQXY3VoEkiNuuD6jmo0pKxVgj4iT2LM0/eLzzToabSHhhByDmDIHc7J4Xe5fejzd9TedMXiJeW0tuxEGDQGj8p4MOWqkvg1yzxGhOSqjzSusC9G+4b1PTXCQMlfOz5VqFS5xogBHKeyQ2VEGyMdmeyNQR1RuX7HHbWq9M3l9EUJGRVZHPcf5DMRobxu70kmKX2frU0dYdB5ZMpAx+sOBtQgg9nrx/aoQTCTSLRXI1rU+BjvJyI+0NYLt19XDljerxy5bt/2PXsUMxHq+z6FZ/f86jkcyOfw7nSNYER3KFHXXtba1b2rHpPuXY0q1HbGXu7L3sgBz5Uhu7oG5vkL57dlJ/btIgNytBPkdiu30xkMGR2Sq+bG0i/Qw2LLHvwV77cb65TBMR4idSTI5hDqqvjws459vZd+5hygRkHOGduqAdDrEE4hu/v3mRDufkz36BXVYryuqmggddw0x4/qHif9rDDQmozftyxsafkWXEZC87Y0jID30bUFlViRFGpomIKTQ30yAVSFgoIHYQskmHfUHMKLKyE8sy47oetMUcgp2cM+XIPhozlMiMoBFGQKVLXQaVvVQzh6no40YF8oFbHlRejbxCknaqnvaPs4/JOEkHM557crt99cblpzYyWEJ7arRahkrOvE58Vz0QvGWzJUqN1LPHC03mbrNuY8XIPePvVy5c+8N47PykTDRZ4vK22KSXhVxwoM27uu/ojrn7P90nLo0qE1h/RevaVfn1sVhCkLt64lFe9sZZhRthCLbtHg5KSsz6IEsi1jUT2JbQ0rURayosh3o+FZ6oWg4hkENVpBQoiFilmuXhe55/lUUtm3dc00XGdLTdrnmmz4jjHCdQjpddFlK3BMGy9NqRgQ0cXK+blh1BG8eP/DuoRqHJoKLWTYNwkmzocisrVWG/z05rfNZU4J5f0D9nlKWW6LY0dPyusPsj/x9+wt1NDRvM4j89dyBEFPAJrxYGAWXHMsWjMOEc0yXvOtdHzmtWv5Xc+HEeKqujD9SUun9fdn/4OspwI8PDs/pRDIzqjCJSLU4BZ9DNEiQzgfDYBKBENeDKQE3+np11BRLhtBuaeyNcvOobXDJ5zfxnEd9ySEZ645akT82C41+mEfzs0GIV6Zsk/DNcNQFwbAeL6hHWw/95DIqZcRLaXRrr9+G//d9brPeq0ctYHzsQ3hlpGygO38bdeVg5YPKEes2zgir3oNvgclktnTSG+hvifFXuW3epRbuzoDIQ1//N7m3u4i9BSGoSEan9/1QKCH1qmcHLcnwkaxDiGWXNm3GoK2VZkNPQUeRV0iS1NeVFcbvNdDdIiOl+yhizbjiCB9ahhi2zh+Sfh6WdNFkyiBZKRH61cj07k+6Zic4nxEpW2pOeMmhGOcVuubCeFqIbuHrptDRnFbEkEoCSCIpCaawKzNayFdNZEaoabMOcF5+3TFKnCsDm6GhlFJxO8YuFyHDMfCe4DwAYaZwt/IJPGpnEBcg5ZlVRq0nSSFOB8KwM3VZqwL0/NYKrH0Buo6QOq5wmcK1bEPMBQInTCaN6VTbFVR5z0ZforvVALwmTlkJIj0APbnVUG/vhIGLozeBGZHLLHY76wFe3EcCCE8hA+qHsJ4R4MSoNbfld7PlZN+VgKmCEvGKCzeY7LY+l+3j+SwtU2YFH+PsJpAgr/n37Af+/CXkyoVDBDCQ5buU45fHyGjmq8IMtkmlI58ayiVKrqab0jlppGupBTRm6leQtyT+YHZ6qtKhb5reoW5T0lwv68j9o1EikdQ1y7DsR9f/nDNIPz6ss9iLebSHdv6nCi0OJ+hcehXIH+tj01Myo2Ed318MMbUsKm6jwse67kRBjomeKrYc7wO4dpxLK3AvJZ+77ESLyX2jRZNnuOFinPIKPFq/b/z0uo+NfxpmNfQ/4ZCUVlm8JpTa/rxndLjS/LO62r/UkWRUSK8dvSB8Ier4r4zQgileKDCw9OqB1AV8N7b3QhcjLjsHdOQa7SGeYKcA6h498/XDG9BCFW5D4NcfRYhDvQiTYX/Nxw64Ue5T9mhv+EzCOFtC7eXU9ZEEa3s7WvjpMmOARO2kaGqlDca3sk5JhvEaJTTyIx4X7HRs8nw/3insem5De9OhvMvW5jln8rwbDA8txLCg2tRmcPXdUW0NCSnXpBzEZ4HcyeNncN7imP47rfUAzbU4zRtYDxPxPHxHgZPJvuW6gdsq+YYam45flfvMT9HfmBsamjWXELqGxcsXFjzZ08tG7rcwezJztcfesF4fUzNM8zyHudAt2rzRieDMynEMSqPddzqPfmZaQFZRgxzTPQofsdfRKdRn/TC9FOors4+E8LVwXWPXVUVhIW6Rk/OFcR3FpRRoshQURYXYIOnvIJ5EfkcKqDhZRzYVAhyPgZDQuO48XQQgmAoijAVlqAT+W214hqKypxVlWL1AFF53VjxgCUNG8Mp4r4xYYVFs3pE6zH8TiGvxWMoqFVo02rM45snSDx/nOThHQJpoKJAnJWY5n060eAz7o/JV63F2E8P4YMXT4zQDVEGiJNafPv7SJiReuxypyVOWugle/hI6pSwKambGgiqHOjvSgpJBOlpzNfBNT62LTyEx67fb/Tz4JkdlCYNgyVWUBrGHrkBQw2t1dwS9gUlhlMTcfZ2Mh8FDYWioJsSXVW2cAzeHxVMLnzPcz9WcwjPLg8v+y3WqrMdIcR4Q3+GAWMIuQlrsirDmj+biTaJIe6DsY+QVFUcGF6KMaUhiDHOUBkwxnA27ORKfEoUKDeGsTBoe2q9boapWnVuXi3GKu83lI19pdw+dLSTqZTvUx5Z3Qe8pwhZLz869X8g9eEBzN+p7Kl8j3ca/WClbIkRosbBqXlEz0PfQsgoPYTaLyDz1Yin+YG8Bn9nbm2OGqDc1XBtHakc+zQcqVKvRkB6hnDclir71Uuo0SG66PoUWUC76R1E2764/fa6MP2t5fQ1R0x68ZQQU3aQmPXjSmR/DvPEMeqhy2+N8wCOyUY/GsyyETAfR7neZEXtAnq/6IvDlr1qF267oYWMHrV+WIdSQ2RJaDX1QcNOA8+VXl0lwis6quzow/aF7EcfH9qt4a88ld5O9gvOJ6obDCH+LH5TjcGSOoB7n7dwwYgQ4vqQ883j2eTieF5RI0fDu10vtkZQJXJjVtioeuhxruac5/6W9TmMe5JBJX/ZG0mDIO+lKUb4zYRwZ71y9/5mQrh78dzjV8uEkA3QSZiewlZSO+UNMpSI57H0McOIQkiHEpBLLDOUgANYBQz2wUsIKw/+quKYrzMFmk7WzCfCcVrI4taFO8rly58tD2o5hOOtD9HBBNDZ4Ka8gDwLE8f6bl0vClgNdaWSoKFEVFm5jxZeKgC0TGooSSaCIJHYlJg0zDsvoXqtGOrJSfCybREy+pDFk9o1aKnjfZkzx+v34UqdUsDJOONPzx/nF2LLyZ7713QPo5OyTvj5s15HPX+4v1qOcd3wrNYnEs8gJzJapD9ePYSHLx1W7rse1XXHm1qXZ1mhlSQGRuNKdK1dnQLRjytRqFp7xHJM8j4VVsr3yWeYqlbHPquK5nDfoZ9wnJ1TPlpOW35g2W9hQ+/RwL1ZHRHnwuDB8KIN9TOUka1duBHzBxkuOumt7JSGqRzhrCDEs40VfRYLYS4hy8BrLqF6CGkdViWBIYnEwoTwwIKQ0VZUppax5zIqjZ533/t+0xO6eC/4HUY/bjT2UdbhPWsV2SlPHc6dCvHl/ugHzEul9T+Iocr1qdyjKS8l24CIk6sXL6thc6dMerhz6Bw9fa1dnZzlPoaLalrAgFm0sicAojjzGOaE9/l+DHWoBzBqQD1EjAwgIeRYV1IY8iTC/gfyGXeEnLlu+x3lloXbymlrD2vfc+h//1Lb8w55fdwPuQkSpiQpSHIckecmfIcsxjlsA/O/p+YGlffaFuUpSp40OoTEUc/DZ8p6nHfu9mtrRMjB5cj14SFkm8P7VslRbSvnC/X0KeHT6BDuDyPTOGWAc2h/n07uMy2D+9UwmIvSNMzqfywOxHx0vuMwpgZBHcL6EaIZfY/z9ZalarCux9FDuE+np2h6gJKs3hjdkUUaxWkQycYSjjk1DGZvnqYMaCjqqBqoaGGZYFK+aBQY8GHUmHoHNaIp5t+tc2sAzONhtb+bEK42wqt8/RwyiuqgXF+N1lmGDak3UEuVh+DCmnrVsi8KBteua78nRWJWmEAmcr3gBOHq1ryisNDCBVqIgu0ZhH5YmpA/yA2CCFVGL6uEEGFz3JoA6adyhs91cfAdyaJy0O7TQjaG37NHU8P0lADiXH4flI3xy84J55zAmFeG71rJsv3ezZJaJU0Jhu6/evtt5YYaMgpCOKtwgLZopZ1++FX0mbZTvXWja3QT46x9U0SvKSd1tuE9skVWi9TodVvIT/fwei6OwfVICI+thHDoZ2MrMxQaHJs9djxeq5+iH7BCXW5HKFixN0UqjUJ+eB6NBK2tyXLb+l13IHNPtFS5hhlnzwEVBZxHQogiA/RoNyuwvEyWyo++FnfF+GClUlWQ8phmcRnNz+LErTklWiFyeP4obzUVLshlJ7imWev3XegpK1LyOmqU4b55VhA0h3CheobVwKfrmGmoqC4xMYyTCBXV95U9ZviNhcVyLqCOj3h/MSqyIqje4uxRiLEUSw5x+SFeK1eKhocaRcSuXby8eQjpEUSf1eqKuX/3/Uhkv44pjgMdtxgnLCSmYXytbT2xDGW+3S9Fh4AQtmiO+t9UJMgsEsg2rLxn/HLtNhSVuaWcsebIUaXnmE/Gxb9ICNfXDyp+mJetYZ5Dnxhkp0Zx8HwW9lLj3ax5o3+WTliSqGE/783rQCqBzGVSlg2KCBk9ZPmgctSGDX1OO56T5Lp/160fDlsOHZ3qh63vdvK9N+R2baehkB7V/p134abRj4ccfvXUkRC2Y+oDZ0MgQ4vj/sNMn6OEcG94CGEMQeSTyuF2buchpFdQi9EwMkQg6T+qvhTGuKizoFXieX0a5vlblu95WYpcNArX0WrTfR5zZ3CB86D1jzYXDFjAAHjO5r+ey5zxqXe2mvtMCFcT3T1wbVUQlqqAYlio3hoho5pHqAqCeghDODDHaFhsFcdg8GJRXRUCeeDinqoowjPIkAH8RuWAoaFUJNlWXJukD3ckCVSLESviIYzttpql+PnyiVZllFXgdHLAZ1RdVAtZWEejyIcqzmxDXmdwKkyIx2Ji14IxVABIAJQQsl0MFwzrblSupEWY1sdMOGjBVbKCd3XFtlt7Qsg2af6I9oEpMkhP4BRBA4kCmdpSuwMm63z9bIHF8U2YdwSMn7UNtET277uzytILp8RxZ2E8VBT+b9vl1WJ8SM0hHEJG1coZ/XEIb+J33n+KDLIQg4aM8nhakvFd8z7wne9Ozw/yxhzLlUtasE/gb8vpSd5i7Nf+xdCjpnzUFqCoDAoqociAejT4e//OOg8/vuewoinDDt8Tq/DmpSk0p4SW5NbWDhXIEA3/5rITSg5aWzq1bVbo6BRZxfjfWosMzHuVUXgIQQj7d9xVFc3VRPmdeGvkiI5HrRKr3mCtFh3jJ6JFdON7zaFfJIkaFprlQYylYVkDVTqpoLJf0UN4as2jiucZG/xa+5rHpfOGdjdrni5ZXxa7QQS5juC4TcO3uFZ4bHqchQHRw9OeoR5H719W+jm+KfNH3sdO/udlEng/NSzdsH1z8xCeuvZQaU981JznnP+M7xsq94enb2eRFLiOeu1GuKRJibIa8p6yUq9POazEcmqeYdsz+dN5hNc4v4aMHlyLyoAQ8niGnbLdLH6mRka2T5+nv2/TB6ZTB7RgDs/NpBX71eDHubz1ie4kyFwSw5xDHpgPhgV8p9zn+WwfCOEJtcro/ovrw6uYPNcaGdKu0+kX/BypMUOldR0r2ZBOec56DBzzmj6E6+ZiUCpT1PCnSw/1WHYIUU60dyLPxBxCE8Lcc1fvuwnh6mG7R66sHsINdYFqFpHJy0yEoBnCd3RJCvymBWfoDRwVcuhKC9M6xHDRQSEc55bw4alAMBQsQk+XWhgpwgXgNQxBMIQUUSlQ4cL74fymmNd/UBB02QkKuykll8qDCkpdTgLXJRnUvMCsaKuSoCGifF4Id4QTsUjMFEFpOWF45s4imImp5mHomkpUDuL85UYIv7TmhvLQNREyysmKJET3aWfMpDkmpXG+nYYEaagoFYDAMbxvPD+HDGVyqh4IJVfZu0lvIp9Tn0M9jSSE9123X2tLTKSRl4LnoUdvKhSKFmQltriPKqf6Xdsb+4fw0rBAx0brPybsHDrKd6Ahoaoo8Hz8zoIN9DbEGImN7+8jS/9T82cfVgnh2navyBeN++b8kGwAydbobEVu5LO7I0nBlFVa137jOVAEOManKtBFDuJQjAbPpOXGiRP/KgmJkL+tc2sxnlqHUNeRbX2oRnoMYWDqKxnyBdm38Vdla/YEqvyOvjdmBvk7jsnKny4pwXeajY9sg/bv3IdJCFFYQ4nNKCqleeW6uagjW/pM9P5lZTpHfwQug1INGQ0CyWq+vD9JoHqPhn47eBTb+O3awzBDNQAO4YvjwieK1zXbag5hJYT3W3t4P0Q03FMNXFO5eTQAZvLVnrWTl1OGQ/UCThnq+rZPRHNMEVUd32yLkjLsU6LJSBElhHqNnGc+7vFxZCaFKvfV4Mxjde7RfZqnz2tkQ67KfX3n2cPYrtvG1Pgv+4oanLHv/MXPlRN3nFT2rUXEaKjQaCiOT+osfRimGL9zOoKm06iBhbKcy1NoyKiOeYzJbOjLhia+K40e0BBS/K7RIpwLqFuCEH5885vtIdROv0qfTQhXCdg9dVldh3ChesOiAmiQLHoGlRyCSmHKzGsUMr+DHkJalkncNFZcwwlyJSoIV1QW1bBQCA0IAF1jEO3TkIIQZpFjkhVAVUwp5HCf2xc29wvTa2VRtYzhuhoSqqX3dXmJEM5BCjd0VT+jTeGl0SqiEPjM/cMxQ7W1QVlSqzD7QrYeamjQYA1cGTrTsOpIYEwWcUWEjN64+KXykLUn9N0Nv0EZWF9Z3FZd6K8ewUlfF6wf2jZcV/suJ2xM+r2SKTOeKgPZuswcQ3oA+Ryau8F75TCeTNRym3Dtj2y9tBy5dETNIdw4smxrKFLccyCHfKeY8IhVViCyFZjhVzg3h9WNrcMDhvQOjhWPlR46XJPeQfUsMAwt551on/y/mkN4+vKDy72qh1A3rYZL4sqJX0Oktew+97N4DK4H5VetyqxOh2NId3UdUpzDnBCVJyQIg/d/vG4VFyumsQfyAxstxFAWIENwHXzeXJedmHcP4dkbn1z7PAwBCO8KeT9VUVQjOlS2TlUJHBGrRPymlDkqdUruM9GK/jpEm+h4Vw8w96tHQj3R+J3LTpxS1yFs3jnMFZ3QaUaUigXC6bBpCB2NH3k92RjPsXGc5L9aLIZjD3/VG9gXmZFBiPblCBDKBMrRHPGBeSZI6CBnSEBwzhe3bSpfWbilnL3+8GbsUgPY2nrS1iQ0STRyFdCpwi/S9MCjI2X4rEY/zWnncUoYiQ3frcpSJZM6r7T3BaNa/Y/Xyh4+/KaEcGreYXvi/Y/DX9tz1Gtoe5hzSCMiz8ttjhw/RMoMayLyvfBYXBvvD3pBL3OTwZeeQjXIrsQ9vImByRBVgu8khMwh5Lm5Iml71s4cqYZA5s9SjtNrDkMHNo4pvW4OAY/jIt5MlyeaNsIPKQNq8GfYqEYaqM7HeQBzC3RGyHuHjOaesjrfTQhXB9c9dtW8UPGUFzAXGmhCu1O6qBjkdar4nctGUBBoARnsY5EI/g7rDrx+9AyoVwFtC8VuqICI3zU3MIckqTWKYQwUSLdUFYEeQi0ogLZQueG6g/xOpYCW4qmQUFrmqAzQGkcrcfYkDhPvkCNAS6uSQJKHIRQlFBJaR9VKqvsazvVA5n9wErpsa4SMfn31EGZSE+FM40k2e/C0k86y/CqZ4/Ekp5zEtbjMrEmdShDfwxAGG+wS18QEjRDVqVDBqbCfj229vBWVOWZDVJ3jvfVv6wuCQ14fEb+THM4qSsB1D6MfhAqpVmUNeW3X6wgzFTt6C7MBIOeacD1Khob2/aRTLNRDiPt8ZPkj5YzlhzQPYRt/XeiTlsynVRp/NaRIvdJT3kGG2VHRjrEez47n3VpVDmQuhrc+No4DTujsLyxSomsT8rfAf1hbMe4D+TDICh5DWTDPCxVPLTuRC4XFuwgJRE9cLujCPjz1jki88RsL+pCkTxHDrNhBnuuSRPH+qHQO5JDh/5omwOUkpuTZ7d06hCCEKu9JDNk/lAwOqQRjzyZzrHR+oUewtbf3LgZCSjAomzUnjGM3R3uQ4E1V4QyPfhAJHMc8QJIN/s53RA/hWesGD2F7x53BSwuwcDwy8kMJV47ImAoxVUKIa4EUgnSq3GNaQd+HJkIiOtG1wuOHZ+OcxuiL7JXL1z1v6w01h7CGjO6zoSeQOEbDS4kH75tlphotiQ3CTjMJjD4Q5Jz4oL00/kZUyHh5opxr2CI1QCa7B5lab5jviTKffQ8VSIOIxmwIbD5Tzi8Il4aHEMfnpVDU+Efy164voaNMmRmwHYx7Q1TBQA5pCIcexXkZXkMaBafWolUdNFcRVuII4+FgVBqvX8r24e88R4QoDnviswnhnkB5Fe+RPYS9tbhTCLhgMa208AySDGp4XPYMapM1PLQJ3GQ9xj66/Knc6Toy8DLmalRqNc6Wac0fzDklca9YG21zVRCwMP2Daun9TCIyAVEiCM/H5lSaPyvRqhwQCw3tCEHFheCDCLbJCcK3/sV3LkiecxQYMqrW4BDUQy5DJh5aSpuT1FXbalGZxRoy2nkI1VKbw2j4G/YzgZ/tVSGNiY4TM/7imbFek5LAbMGOSSdQ0nAR/a7vQ8OcSMaUIOLY7fWeVEDU8K2WYxBC5BCesGHIIZwKY23tqO3jbxo6le+v/V4VgZxvqDjhHCoPvbJYn4Hji4YADQvTcGEqDTlESAsO0MBAJRR9jx5C5BA2w0pbWmLIecr6GRXleF+DggwvINa2AjFUxZchRDgeikFW/NXS3Yf3dN74Dp6PAAAgAElEQVRD9l8d97lPx3UjZ7lhWM9VpZ778DeIZ1ict9UcQi9MH1VGe+y6YmBaFIy/Ze/7aCzWfgojX15rkOc2udRZ6nMRiOwN1O9UCkn6Wp/rIkC0sqkSTFam1n6G8+g1xO+XLV5cTquEUJVXkD7tzySBGFfqFRxTwqGSoxr8YiyP5brmeIWhJGS8hldS6eZ+GnMGHOO6IH2Kv3oAY1x2EQPtmfrX2z5cs3VTuWnxK31RGRq6eJSGy7cxA49Ya+/4Ouqdy8Yr3j9HaKjcDYzimtpGECvcS+eH7DlqxqQ2n4zP7ftxui5TBNRDeOT6DStSHHD+FOkmDvjLMFRNJSCZzs/TPGCdx0+NE6h8rdEyvZyT+R/PzLUdGeHBJaNUJnMOYIQI5akuS8T+hL/nLlxUjt9xYltmKJ435mV+/v/Ye7NYy67rPHedUz2riq1INZYsUVRLNTRFkepg3wsYtpOXOBcX105zcZEgSIIksJG4TZCXGHADP/khDZI8uEkMG/fFTeIECW7iWJYskZIoWZZjSzJJiWptiY3YVZ061Zw7/znmt+a/xp77FGXVKUmpvYni2Xutueaa7RjjH93UN/dkylZCP4+W8UYZiLWQzNMo3b3v3YMjAKFbCqnPASKWwLpOFrulK4jqWmq8JepbLlbd2wDC5f49yF8bQHiQo3sV6gYQvua67y0RhEq/39kUrqJkEFV8oT6eYGakOcZFy+/J6ne22Pe4RvY59/3W5iWdPH8ZAncvwnqoe9IOux8611wokAChcm5tlAAql1FlGVUcFVnnKgOo4CpaqoQyItqkF3cXCgSJiNnqmeUgUn4/snfBYJuVKIHAIHyrn+r+VzR+Tuo4V9CZdbSzW6zmsWtayqzZlYVQLqMAQpgHggKWO29Rds1xoJfdUrMQMLs6ifGnjroFz787QOR7pGwfbw7e+dyFS9PpglzdJbPOS9Pa6rsA4a3lYHplGXVNeJ0HGzNcnvIbXVu8GKM2jxks8m7WgVsMWXcr7xC43Q+kNeHTU5bXulBxa7/KDck0zbzjA81CeH0REEhfztlVlMESorXsGUjDObsBvdYGzqkCCLr1zwEfArrHleR+eza55diGiAEQyJasbIFiz7trurKMblxGv68CwuwmmhP1+NhnIMi90aHyI3euoO8SBgXMIwTAzx7LADHHiUY4Q88gmEMD8vNYARG6zxQF4Ge3P1WtJPqMFAx+jIS73HFeWwaF7nLqY5XjwwNYLRV/o/J6jozB0cYOkEaeD1lx2cMbonZXunxu97lyMP2Z6Q1He1IZFH+uDFznmpkVa+7ZMKLflHfQsc6TpO5po83MjyvFqoJRVramYIRmZiXigl60OkXDcwwhYNR5mo+H3ifFoo9N0NZx8hwHXz72eNuobkCYA0OPK5z3VONveIXE+PREdtk7hPd5+EDQyR62IpfRV5UYQh2PxfqEjZK3IO8haC0hAcwLCWUcCOoeGXt5N88D/rjuFnqSPtF3JB2OsEEudG+FqEf/rSoBV5SCmxhC3xIH+n0DCA90eA++8uwyqjfmhDLVAatkoXMGPbuIFs0y5fV3t4DGY3tHS3KaYs5vmetGhwdDzJ3Bj0DiyHXJE01k7TXuCAgLLjRgGQQgnilQ8pGtj0137d1bNWMeV+LasJxAo2pq2xk9ItijbHMcMh9a5i5GoDFDOEB7TJa5SthbeZiBMwLdJ6Oca1erFbZphyHaUVePFXEGqO8ChE9uPzG99cjL60IbMbpRcP5IeMhgEwuYayFxkcma61lbb9ZFVj718NstodnS7BZr2uNutggTvN8BYR3XBlI9291IGKjj26Y06ozWgXFdK9qZ3NJtDBcf+u7uXTk2amGJr0JBi5kRUwSMlVT1WJQRKnNMoWNwCZ0f2Hvf9OZy5IpciGg/h9ez9rKbKPsJ64m7142yM6reLCS4a6jua89iQcSSV+djdimNEXVllWcQntdKEQ+IN9S1DEAQHjYuo/0cwpVxLRmh/ZihTPc9TpsxHlnsmJM+N11wi3d2mpi1/76v14GgnL0w1+nvh64rq/Tnth+ZXnfp9bGeZutIWTcti2jfr8tsqBwfFAAtki/pgzve3E9TxGg/opiBzjuNcK+Qug8aYSKeTGX1LtF7B1/QCrcOQhczqJr3Wmnol8+fm54sMYR3HumAkHZ7sq/F2BkCBjhlZZ63jWdHtLmulwbQRmA8xrO7UcYcLeMh3QsGOogi8nLr5mPnIsvoS4vLKG3RdOW+c63PaV7NS1dQptyVimQvjT3SP/Tf/64DhCgD6riXKjx2P6+R6m3UXoOH0TwXzXNIFkIBQuj94tzDtqYJG3C67t4oeSSg+SF/jDP0ujW+zqm105X00GdXFHrWeuLLaYO7ljowJHYci+Hu3rlNDOHqEj6QKxtAeCDDevUqdUAoKTe7jNYN3A6j5zvnFOo3yWXyWVWVQJR/2qiegKA+I7ctc/WibBCLAJ5+pASuXvrLwaTuouRn3wQBXvq1+2g6UHy6aEs/tffR+diJrjWzNOZGKPOsuCbK4wI9fgTBX0wruwE5cUSI1zUCyxca6sL9SCIAA67PN4aNkAB4wFLIO1Zc+cpznzu3M/3p9p9VQOhgkHphWrjd8K6RRtYB4DqXH9qNpjcYXXeVdWueCwwuRGQNcwbBDp7UDxcwaD+xKw4I5V7qgf6jHcgYmcw3jLOMNbi09rq10IW0hTa+tDaPbRZyEA5oX7XSmebYBYOsLXZ3ZLVHFsI37r11FhCIN2EPuRDM+9AoAxTdpS4SyPQPlkLicLMGHWGA2EI/v0q1zGDZrELMqc9PFzhC9IJG0A+sgzM9uoYPKvYYwmNTxM56/Dd0PFsO0c57vDa0XdfcbRRBjPkFmDMffd5jtQD8/R1Ow0d70fcF8+qKBV3LceHnysp4tADC15ZzCFEA1vcbGOy0W5a6poio3h1LiEO8VdDKIMIIzigAHby4m6hqJR5saT3r9RA7npV+rH/ovceGZ4WUaAXZQvXcY+fPT1+enp7eeOyWRaKX6MNylD0bc77vNGoE8KhpHShEeRlj1t+Lws7ftw7kZT7gdD8rHmnvH557fLp579T0onLsBO/w9tdYbWvPOqsp8zor5tozuNeqDqd1AnIoDemtK2d1DX5NApqY5678pVlME+sP2u+yggNQeI2yTf9hOXZCGXZJKuNu0ipHCMvsilrdvSPJjX9cCY4HCRZEB3++HkdZRmlbda8tI6ZnkeX0vnXxhdmLAUthHcfyVI4t3ADCNIEH+HMDCA9wcK9G1aOkMgCwmo5c/xUroD7KOnqknCWIlhgrYAVwRbNMuvIgZh1UzUSwaYVh4AgRs5uL3RdgJHmMCwzZgkDdOesdiSiwClYG0IQEhAFpjD+598HpzVvvqoRIZw5WIafFQvmhw90FKMica6Rca4xrqMrk84EiBqRrjYcAsXCh7JZU296sQv53SaS7u2j0dfkZAcJHzz03/dn2l6rLKG6i2V3UGTbtqH2rjGI5x6N4D7/mz3Qr15LdwKAd4I6sjQBBFy7qGm0cPQOrUb3rXEZda7wAbMlVaJ0rEcDd4zDz+DM/JPqZ17FcO02LPgK0df21YfPRy1pid00Nt6Xusqbv77/0/unNBRAebxbCqLfX6EIIAsgsiDRXnYVrdtk3WfOv9nu8CP0ELGIZdDch3wEkofLVjEVqtOcdDHa6EwlmWLe7JevctR5DePfxv1qzjNY5b/GDeICQIdrnkrHTX6fBuHECuoP2rCZ48PgeDw2g/H6JJHzuc4yQ7vWzX3sCDmiguy+fLWtALqMChN21slv7PCyA71np54nB3FKo9wEE/fxYrPTsRTxBsmuoe4FgGXI6m5ViIcDHyAAusqKJcIJKK8tAfH53p1gIn5pIKuMu77KSuaKRerPF0dvkCj6n89Amz6qZARDjv84bQuV3CgFVvDqx6AqTgN47nWd9eJ0jpaUA4S17p6cXHju6yII64hV1nTd6z99snax7p5TxuHq3Fmb6D0DXvJFojDrYV/TFPWPcgujHSPV+j91J5zFqE/3R6eOzyyjrFfCYY9K1tLRPXSmoa37sSrR9mckUK2GmHb6HMy/knrv1L8tHK7PHSH1/g6tOF5DNcE2/lj1CfByvxvcNILwao3yA78hZ50ZJZLLAkN1FY2MuD4V3LY7Kq94T5fRAfThnDOaydB/qwoTue/IY3sNxEwgWrklauA02wcSvuauRhM2Pl9Qad5eD6UXApKUiOQYELccOdi1wh1wAONe4uauoW2ZcKMfFr/bT3Uobkc3AEADpGlAYJEzYz48auQ/FGMbnM7uRVOa+I7evrDCECAQFZ9zuqpSBnYO+EWB0IcKtezBA+ubxiGOIHIKQx2Ks0xqvExRyllEGwTW/uBONLKiesMDBoaeDz0KFa4/1jKcy1/s9rnC2aBpIY55dwMrAjX6EJjdciRbW1wYMlWVUgPD0oZK0ScKWAUbciRxwVmtkExL0DtKN5+MnEJpdQ4ywWmMRWwwZ7XTlSgYW/psD6yMLpdRTYUc6XvKVai+TVMQXswPW2WJVYkqu1TTkmd6j9Mu01vfcKLGPys/W/aZ+GgFBnwvu+7lj4gXx7h6SkF1I+3oOiohFuVrdSyukoqQtXIOnOFjEQviGvddHIoq2r6C9Dv4QdLNAjPKv0lFzGz1qij7R9YU7XusAdNezRY6SxzggzH3Xvmcvxbj1Tw9HiGsZqHxxN1xG33Ts1goQ3e3dXRh9zuo7GiNSGUCe85aREkjPZV7ANeg2WVF5XwfpXeEFLc5ZsnkGHsI4Zouj0z0shMoyejmFpvcvx5Br3Jw/xVqIFkGqyVzqoBsL4tzfZknM443njCtFKZPnqQI38xDp5UI54jQYQOgKQLfSebgARw+ttC1ZDfM+WioUA8CjgGd9jtYv+1bv8xjzTIdizaOUd1tobylKQcrtliRim3MI80wezO8NIDyYcb1qtSIgvO7E/1EsZMeqy6ifPVU3oMUPVnBX/juyV9yESpzgsWIxlCCmD65DvmkrYBnYvBDOOiPvgDKIwqGF26iuBXFBgAgnHhdKRCbE9D3OxQVCEsfwjI6deKQkY1YclZ7FQhjtD5ehrClmYsgqWstmU5HNHpaZqHNVMEernDXEKu9uSf5dTDBbxqg/u+Vx3RkTzft0AYSPbz8+3Xf05QuG5rEQLgy4WxEAbh0gZL5GluKRVpjytI3nFNTvMSsjRr5us9Dek8UQcrYsUWlmXZONhfD24yfnKhxwZebLuGerJ0LHDOBM2KrzaKgKFnZdUd/ru856zMBwIYyUh9GQ0/6R9lvvyZnptN6yOxu/xfxlIZTLqAAh8UysnxxfovrppwM4FwhizUZCpi4sR+ep19uua9md08fWDzV2t/GoryegckHeE5W4yyJti/m4cM0DwruO9yyjDsBQ5OWsoXVeZ0GsJ4fReHqG6DnG1BzNmJ8MCJlDTyzjCsDsMoa3B66hs0WsroXYT/k4iUr/WmwTgPD1e6+z/R4WjsyjhIGc5lKPC7NOdxC8/SiJfN+tgtofASq6W6DKuwupKwB1T3vHQwGofz9vEAd9n9s5V84hfHa68+gtc9Ocpnt76x5rngp+PVsFR6DPn80gkjjJTFtzrLkD5VUQtOp9NI9FmTjR++cKvQ/rXc+k+bFzj1WX0W85frwWD1rVM3OPlG2LOWzAmCM0cDGFX+Yxq8CuWRmPlYGWco4yrhis19qLiBMc9dnbEqCxJx3SPbKfyj0UKzXyha79wSCGEI8lkorl2Fj99nMKF21I1jnkJY87Z9+M4ssBe64gXADUOkOrRzUxd94WKZacL1X5rVypeSlKiMAGEObdfTC/N4DwYMb1qtW6LoawbmT9V8CgQKD0TXIXxVro5xByTeWOqoxi/cp3JZcZWYkQLOIdxBkqIURAOc4iBAAiOEBARhrrrJ12F7SlINNTfnMOoSyE+iDIItRSJ5NBOnL/K4IqYgvhAwA6+Ju1l2JCxqD0VI4l4V3ZRZTrLkDAzBEUYCxdOFkminHLl8qOAKGXQZgYHTXhRNk1xDBYd3EKZtUZM7+9j77gETocjK4TlLKF1MGmC0+uOeZdH9z9zHTTpZumVx0/vQCKCDlZIBpdh+lTZ3bD8vsZlAMEZ+tZEziIN8l7Z2kV7PGGLjxkIXZ28RRjtznQdyyEJ5uFMAu7ru3N7nEx/911WkIA7RW1kLt1zHPX4rrAPnIbcvef6hLXBALV4+eS+l7PiWayYO/uQyStUpbRD+/8yvTUU09N119/vS+9/+W/Q+8zIHQlYD7qIZ8ly5h6nB80lhiefL4syX46OOwwJoN9XMMyIOyAMmh40LsAg564CBdlrIPQKrmMfmb74XL25p0z36l1lL2QD53HEtjdMHuGxwzAoHkSqvM9V8iM4gXdC8Tp+Tr6r+u4guajgdwCNaLjXzjXAWG1rCUr4UzDNJ6FqHBsj4MmB4Ajj4wYz2UyGFcaOr0egVGnuSNA6vX7dzwrMk+hDt1XUpnbphtLDGHJea4QjNZWV0L5GLBusNRxb1SeeyhKUZ4BCH2sspcICsOujAuwSmI6rSnApMbPlXXdO6nthwaC9QuajffHH0zKMvrK6cT2oQWdI3aQvcBNP0e5j0t4iYiue+xtqOe714jnY9CzWZHrxxC5xb+2W/W0mEL9xgiQQ4doU04yiCcJsuS1TO8XE30VfmwA4VUY5IN8hbsQXRKzKey1Ez7FBMkdJ8J2jxTXrJlYlPhCJ545nlD3ZEXUB+EAAWIdo9cGlkDhQBBXIgUK6+gKd0XF+ki9EB0OJ64ErhKXpdUQpq2Div9k+sj0bcVCmK0awbhITLCMGezuKUv/+UrMmlCAxg3rju5xLpETaj9rEEPSKIuorwH6KYahD+dH5XWCa4sHy7vG+FM7zxWX0cdqUhl3gckgxpka74Dx6fc611BvD9rY2bVGq6p0mPeuY/6qY2FVsmcciFKO9rjwlZkRDP1Du5+tx0684vh1tuZjFrIVLmvCR9rkzPQ11s7s6/pob3JAxDoNZUIH8TXbaXIR8zENLXHXOkffQ2vMx10+AXgI01gIT7UYQq1ZKTf2A3+qFzc6AByCd2XyyQ0PDbMAolxM5ZLNUS7u5jeyvLCv3WpF/KDa4Yw/r/0luNyuiQZmwLoBhNObTnxfoefHZvcr30uz5r54gOgjOu6eGFhh3QKbY3hirYflbY5NrOAt6Lvqy54oi7Vd7qJ0zCAfZcEy1CCvgFWrtCeVYY27u2iOmcpu/LVPjb4H+IqdhsDuv909lJbhCsoB5Cj3+O2AMN7V+0RiEq5l4ElJ96YgWzLXvlAshE8UC+Fdx19QvQnmZ6qlcpnQijXQ6ciy/GKu2i13+UT5NFLEufvnyr41gpU9UjKAdBrs78leLXW9lHr/4NyXKiB8yfGjs3Is8511gNTrHwFCB8F1bTMmzUJIP70PHnKAi+ms6GjPr7Pgqn4BOWQF1guWQ/2uLv7mnvL7Bghnj422hiOZTVd6VPqqMILWcA8VcEWgbrtlMHtLkWzGPUSw2OMminXfLf7Qj7w+OIqCsCFoi4NFyXt+bNmlzbETq8TxgK5sAOEBDezVqjbHlCgyx0Eh7fAEM56BLjbuKnuC2QucnStHUXisyuhg+/k9pby7ecoNVQSWrKMuRJA4xpkWjAytcQgkY5c1AcJPTg9Ob5neWasYuX4utczxJhe4O6HvVwFquude7g4GVAamma1nWVNMnNysia5gtceSwIxcqEaLPNJQUv+jO2drUhnPMrof03V3Id4fDKGv1qwN1p3sYpmv8bQLIdmt1OcYja2P2wKMrXEz6XMVzI4Ywpcfj2yLGXiuGwvfm66JzyCP+de8eExJ1s57fX4OFrxcPJs05iSh0ZwTy+kWwhjbvkYdEIYGt4ysmH/5/sG9D0yv37t7uuFQCEisSXc7dmGXLKSsdBcMBPLQGGNxwZKke3w431MZSd1dlLPsSDTF0TAxhuE65OdOZcugyrn1ycvK44A1V8Flefe1biEUICTLqK+/FcVHA2azsG/UT/PiSjoH4cxb9rIAIFa6UVaABLfRB4tjdil2K2HU0Y+zwF3U96EDXVkdPlUOptc5hKxDB4Gu4GBtO/3PCcOcnuPp4RbBiLfrgrnu4YqqtkOjHdg4Dax0ogrl/ZB5wI1AlSuc3PsgeyJkQCiXURRxTvNGIHDmp82iVuc1gZUc97wOVHk5n/OsUNQ9QCP7NsdaMg7UQ3kHm+Kb7qIql9FbJx07cXTBlzP9zOvRwfJICQmvInu1nud7HivdEy3PCX9ivwRPz54juT3raH9W6sbY9VhXAcLXXXrVdN2hEo5jQLHyEXt/3Vem2IPuB9+NySfGcFYKpfJZmbKOnxNfqH1MLLDLTHqXA0W8w/L5pZmOuJy4U5KIXasx43ntHPTvDSA86BE+4PozIAzCVHyvlWG0ZJ/zjadfgldyC8WKFxu2A0IIphg3qYZVxq15dAkNMtmglhrfOHoiXIKi/hzr4sHFZLsLYiVrpp7v7kS0B+uh2vPMtDM9NP1+tRBiEXT3IRdoFV8Y/VgK3BIEsAY6UXU3UU8iMHIhqn1rUrYzkOwmuQIc20BCQLOFiXEGFPIeGCAWQo8h9Lbw/EiLqpgI3gujz8DPGX1mCKPf9N0Z27yeJJA0i5i78OR3cC+7M81rrtWj33IZlYXQAWEGWXU/NBeo7GJF2+ReVddGm0MHcv7d58PPd6xr1ty3fL74ni2NPuY+P57hlLWK5pffMPv7Lz1QksrcM506JMv7UpvMjvYD67NyxF3J1AdSkMeYxZgwz+zFbHmtZed1HMBvVGYB1itVkgARHggojDIgdMtUvKcBy6IxvtYBIVlGibceWT00ZqNzYhlzXPyzWy5j7WAwx/fMtMXmkXoR5jTnWA+8TgdisQ4iqYyvEff4IOnRbuEMjx761PT6AgixalQrSnlWa1t02pMpsV8QhN37g/brb6bvrjDpdSzPEvTn9T3TOXd9zMI6z7q3RwY12XVS9X9+Z6fEEJ6ZXnvkpjkuOwNQ1Z3pefeIWbbaFWbeRs+c7O3SHOExky1hqtlpNi6dDoBHQEHP4SGDCyh9UH0Opj+288R0495108tOHJ9p+qjd2dq4DshmJWTdLxU09fhE2jKv98ZLsuXUvUEAhMQT1rXfnstAGH6Fsjb20DIuFaXgh/c+UZQhd1R6H+MWYQR17PUO++szTRlXZsSa7cCQ8vCAORSoZZ6OuS/nzbbffuzLCAwCNPO+xgjgGaZz1uk6XqbI2gDC5b49yF8bQHiQo3sV6vYYwu0CesLBR1a6IL8Ows4Xi5qsh7rG+YOcSZgPMM7Pusa3Es5mCSSuR9ekbc7nD2bXL2f6WcO8nyvqKLvhWXMZFeBzKwdDT7xg9CdYfbj+dHchEgmIwAIQRy49uClVpmhmxgy46viYBTEzD91X2uoce6AmqV5i0FSmEkcxqOS6ous6dkIuowDCkUXMrZW4wmRtreoaaQDdhUhtULD/uWIswqKY71P/OjeZGPsYO2fSLszKyuX18wzz6RZMuYzecunmyZPKkFGOseQ5B6swYcaWMv7XLYcIbvl+fj7PEZZEt3i4IJWtsT4OaMfZL+4iVt9b/uEyekOJIdQHxp+t2pHuPT4hbPREDC4kuGUfECoB4GjZWzuyILZaSFKAG6mDBfZpbU/5LzKKLo+z0D3PTunjOgInus+5pyE4bWII33L8r5XNFEqukUKPsXc3/1g3AaozrfU5CA7ReQjuXTwvOoqLlz8HOPF3cz+ewdV0KcB67HcoKgPg4ZqGMu/ZckC1ziEky2g+Yy0LvE7nWM+uKMlCtH5jBaTdbq13Wur9Big5eGJve9ZoAQTRCCx+0PWc0bLu01ZOZVCwKamMsox+2/HbVlwmoW9ZqYcnyOh4HL3H3WRjfmNuVF70frdcINlJn8v45opMB3Mjl9LMT7M3Bs/T3gw4VedHCyC8ae/k9NITcpXuMYR1Dxg/DvfJ6Ftui3v1UKbP9TJJzUKJ1VDZiA+bsW5eFg5y3V3YFcYZuO6WCyMXUlWqdmMhVEZc9Z/Ywlgvy7YTVxhzGa6kcvn3+G3fzx5X7GvbYw3dJRVgGJ4f8XFFj9cxshCK/uM95jHIWXbVvc05hD6aB/t9AwgPdnwPvHYA4Quuu7eaOLabC8+lsuH4TiMOlS2o6xeLeKXvlZA0q+GooXpeZfUJoLl0D/J3EI7vJ0nVZ2bLnLJFnZtfQ3lALM8R8xhEUE5CJdHNVsSI6Tfl9Vv1feX8Z6cXHH1V7Y/yaUns4C8v028+ur+91y2WDpxztryRRTPHzdBe/xvEsbPAURY+ymRiSNsubRXi3drpZXWdz1PTY0VQf3p68fSqy64ztedCiSlSnesUBvsRZtYAa0Z/vV+5z9z3rIPryuekFHTGn/X6uP/54kJz3fZN0w2XbinW8OV45QEZjSfjUetu45rXxldTr5flu8/XukkKe1lY7/ua7b+Xp7P1cf/Chf853XzkFdPxIiQxPodbnC5983ZoHxwq3gF1LxU3cPZKnndvJ/fkir6acmPZI7XzcHFkvFByBS/q0IH3jQ5cat+1lw9tRVt0zfd/XUs6U9RcVfX7fEk/Lhqkff/lMw9c00llXnbyO8sY9XjxvLY0t7FXg/Zp3tetSa35desUeqH1VOel0aR1+8L3bKU5Lf67Pmvrm/ZmxaXTf5VxuiqF5tPTl6ZbppdGWxpoHdEYrh0u8ZO+t90rxfvgdfg7te7r+DVr9khg9X5Jscq5vyhZObYpz9G69nsbfdye3n5qOrP1zPSiiy+dLZLZMrzOOo+HTXYxXacIdAuNewe5R4f3J9e/n/tqHodYp+PMo7RPCowvHPrcdF05h/D6S9fPwCbXFQBFwCfSpLiFKo+N5oU8CaoHS5XX4fVn3p/5OmVdye7Pk+F91H9dG/FH6K569Wdbj043FW5/bO9462X0s7rXFx2pA/wAACAASURBVP6lta5P5muj/Z3puq9r50VZnou56jII9fg+z32Z96LlkFgnd9VnjRfru2IIP/Pc/3dN0vt1a+Wgrm8A4UGN7FWqF0B4aPvmggdHdq2r1JDNazYjsBmBzQhchRHYK5rui5eeuCYFBOj96WOvLfR+HL93FaZg84rNCGxGYDMCV2UE9opi8Jlzn7gm6f1VGWB7yQYQXu0Rv8LvQ0A4dezVRWMsK1m3LCAwaEOh2Vmn5VdZytHE/Lz/5rtrdLO1TPXomjQ8Ku9lZR3AMuCWRCwIVVPUrAlYCkZWhrPnn5hOHX3h0HqRrQ7ZCllz6DUQLSFT3/W3trtdz1bR2q6B9XUes1JntugwDuumXu9Qnfr498stlZ1LTxf30jPT6cMvWjyX66Me3uH1rnvfqA5v4+Xa5mPkFunLPffV3H/6wp+W1OrHqpVwXR/dYk4Z+ja6l8fG630+c7OfxX20By+ngWW9sTZ8/T21+7npxOGb6xjkT17Ho9/r2jpav6N58X3p1rx5nJOVz+vI73CPgZHF0PfuxUs716yAAL2/9bpy9uo+FsLROs77N9Oxy9E11q/TusvtV+Yt0/u8RrAI+9+61o136ffZS0+VGKoX1OuqM1szMn/jPlY3LH6EVnj7wyqG50zQYyyt6/op6wvWdvfoqG2/jNfC4t3NwpOtRJ1mbU9nin1U1vfrS2qVdVb9dVarkXVrZLFd18/8/FdTzq1PebxzG/w9+bmnpy9XbyE8IoIWrobGPJ+27eeVMmrjOosW7XcLevY2ob7R9ZEHB+Xcs0l1PHPpy5XXjZIGzu9o1tHROhrJP8+X1rMXR54bvk+hEVkupH0juj/yDlvMQTl39s/OvG8DCC9HbK/A/Q0gvAKD+PWswpPKbBUBQQTK3VxwYVHMIK4Mo/biOjHHhRVWiF95ziYIIT5WXVC1nSNxzEwcK2CK5ztDi7gTPn4Woa6N4gexd47OpdIzZ4oL0cenDy2yjGYfeQstqK0hfvBY8cP3TF2qb5RcgCxfxJZ4sL+7pOQkAKpvFDfBdT+eYDQfxCqMYtmIL1GW0S9u/+l035Hb54D+/Fx93yDhzch1aORupOez6w3nKwUjiNZ7PGGODyS2xgP265y34Lycyc1jKzw+x8dJ1/1gendRWpdgg/Z60ht9Jwus94d3keVujs/bJ5akjkOL9RzFCnlWQY/VYY7oN+9ifHJgPvGE72tJZa4/HEKsPlrTiifRXx2JQvyGH1xP2f2yjpK0g7hc0o/7epjr0Too89GTwsQ5VNrTnn20zrnRAPWLWMKcZU7HTOjj8WzQk93iOvqRnV+9JgUE6L1iCKUARPDzc2Whw+yJ7I7nZwzWNd/oN9+ZS+YkJwdjHufEE5XeB7Wbk6u0eFPqYh3Gsz1OsO6Zxic8yy1ry4+VIIbwjXuvr7eX8X1B5HKsIPtMe4G9Qd2KxYp44s4lxAPUHj9KIo+jx7kRb0e8d04ileOPPTaQdvA3J+PK7pxKKqNjJ9507AVzbFyO48518ruP8RIyQ5OI4fOzX/Usic7ymYm+9ykX62eZQEXXiF+kLl3zuERiK0nG0scj6CnxeIohvGU6VY+dqOuoxqLH+/xcwpzQxpPH5BhF2q53aIyOlgLE8XsSuByjSRIYeCtJxRaxjCmLjmcfzWPlPG+UaEblHyxJZZRl9GTJMprXLeu+xgvW8e3QKxLtRcKlKs+U/xOju4wLbMnV9Hzbk/UsQMUe2kKGF2Sem2MJ/SxCX5eesDADev+t+pW1enPsxLpdfeWvbwDhlR/Tq1pjzjLKhkIzqr86kD5/anxH8aEnzqET+Dg/yoUI9+N3cEgKchcY8vkyJJUgiBihUUTJkw9kIEd7KhNpAoS+k25cREqA8BPTh6d7tt4xC6OjzFmqC5YvwsaxEiJgftA8QdoAuS6QR2uWiTl61rmcZGZJ/JbB95WRlRcsQE8DGS48ePC6Azoyr6mtJJXRsRMr81sa6wkJ5vlt2c4y+BND00HG87i35/33COCSkW2UZU/PjhLqeJ2jzZKf8SQ0ztzJMqpzCDPoHQHJGhvSkg3ovbkM9/dLzuNtQ4AbZRgdJR/QO3OiGRLo+Ds9I10khOnzQhs1/wDCGxog1DIiMZKYNsKwr2vWvDNvDk2u89UEgZxMgEyPHEhMZkjPPOcJBpjXdZmKs0II+sC86C90haMRaNuFklTmWk1D7oDw0NbRGUwFfao+D3UOR4q9rKCjXKVJ5UnOJ2TuHGQuaVrEZ43eVdd4XUfxgX7DQ1iTnkimvr95ZIwSV+i+EhgpsdFD25+sSWWivz3DaOytDHYKuGsZP4JGh1CMcAw9c2Uf/YROOF0R0GA/rgMgACxPHDOPZ0vmlGkV96HtPtb+HUD4xmO3LGiCtyXGoT+lvS+Qo2HIArtKuWLKn+vJd3rys7kf5SbJu+o82Pt4T+YVDoYoTzIWEoB1hVhvP2tJfz+yE8dOCBACAknIwxO8BzAHLa19bXzWQe+sdO6664VyE/7m60LtFq90wD76vh+Pz/ORsONSPmh8ywGhNbc2LZ9RCyhkjkkk5nszFLf943Wyt9YpAl1J7GsUIDlaw564Jis7PG5TMqwy15OdfpNUZh1FuPLXN4Dwyo/pVa3Rs4we2TpWrYO4w4zcPLgmi+C5rd16BEUQjQ4EK5FvpMI3KkJAZToLUiLhrZM0jqMgsFvlOWx0JtwW8O0DloUMCZ58SHVMRlEOphcg7JrhrtEKscWYS+EWLnBkpoXQoDIzAa2Zylp2vAamfHwcoNRxaUAqgwrXjqqcM0P/PqrDmZprJv1g+pFlkLpob7aceb0qMzrywfsDM3HA4hphv+7n7dX+lv+ypdGPn2C80LiPNN/HioFZWuEzxXik8g+c+8x026Vb67ETPg8joJcBsFsnXSM7GiMfx7pXMje2NZbnYQQM/ZpbFDxTH1U6SGU1S6jVun7vpQ9Md+29ZTrd0pC7NRtNseqZhaO67sJ6qDVd10X5u1sOs89HUNR+moU/+h0d9zFyQSYsTf04E+oYJZwQIKxrrimfPBEE97p1KY6wUT3KNrpXXIg2gPCvlTkLQAjt9jVDVmjP8uxWXJ+b9cq4oKB+dpjTdN/TMZdxBq3TcNphW2Sm6NlLgSzOsX+DOvuak6fII9t/UgEhR0nE3izeJ6LR2hftL++TZRDlCGve2xIeI0vl2ciyimUJuoZVC0DloMhpJsAy05hMe0cKtUxnAIQ6mN69KlzIp163mnl/63i1CxmYqS+cr4dF0K/VvW/KS6dd2fqVLaMowiiXz9md1655WAAUOffv98+GhVDnEK77AMi579lMM+iiDB4tmZfPSgxTojr9q/JQWzsqy9mFzCVzPlsXU99UV87gOgKw7LMPXPp4tRCePiz7XpdJYEes86g3ZBg+mnMpM0IO6Vmm2WPO0rAgVuVf5RXLfY3V0PmAZDIp6eu7Kw3oygZd49givrvBgTEd7bt62m2h9w/s/Ltr0iNk7UI/oBsbQHhAA3u1qgUQ3nX8+6et7SMVEMoimM8gFPDzbGe6v+6oCTFxATh9JLA5+HP3It2PTHIh3EnDjJsYGn/P3JXHBLDnRLsSqPLvXGmBXFLdvSgfPC8XIlkIdQ6hPkqPz8fdifSd85MQGCCKuD+KgHnK8QzssrXNoaaIr1wLXQNJP2KMllrUuY2NQVzOVShbrnj3p3fO1GMn3nr0ZfXdI8tWfX8CqQ4qYSwOzvoYLpmKz18m+PSXvnIukz/jQkwt37gQwhYMO5ejLP2D2TkgzAzGtfAZXDojyyA1r1H9Zry4N1objLO31S2Hup6FKbTbrH8H16wbCaDO3PXunVKx5kuA8O5yDqFciGiTuxLNhxCblQQLoeqXgNCBcbjO4a4a89mF++gXZeIYCbf6cKSArwNcvbUmzpb9zHEFdSzknlWzGIfLuVsM83E07kYkV1K5EF3rgFD0/ujWiaGVwgFidt3HBVfjyHfotwNG0fIMBmNNLtVs1C9FQLh4SbPflQKsC18LrBF3W/N9JwF0QTfaOjxbBMNPH3pkeuPea+ttXOHc8sV36P1oP/uB804nRnTSQQJ0agR+XBE0ohd+zek0dNuFYbV5eWRG9IJzCN90/ObKU/xoA/rpSrn5WvviIEyX1A/RaY7GcOtm9npQed5HuQz6AJG6XgFznaPVkAWNFV4y+ylG89wBCF92IgBhVqwt18yqpZp1x9hlkO9g2utyfuF8MitEeCYrH31usaz6USPZWujrS+sZwCpA+PoKCA/XfY9bM2BO8A+5Bz7AWYUoTPKagI873Q8lSSjPOQJmBp1tLwr8ZSuf6u6upvEmeJvogj5ZUaVrowy40DDxBXmEfHDnlzeAMG+IA/i9AYQHMKhXs8p8DmEl9GWLScwi+BiQqHuzC2dzF50JRAGIijMcnU9VNbYNJEog4EBjWQUF2qoWJ1kTXOvMM+7KNCImLlxEP0LD5ZZB/UYThcvo3dPbZy2WXIvqM43TCPC54OvnLi0F7WxNXGqN3aK0TruVXW7EQIktyYJFJZblvgsSaBiZE9cCUveJwmkvFNp6rjwsl9HHt5+ogHCex+YSmS1dvI96lr3tKzZrSd1y5+s6WwY9bsOBXRa4ggF0RjFSBuS25v0E437/uU9PL7r0wun2EyfqfF9/RIBGgCmeyAzeBb4c5+hjrbmWNVLCEi5DDlIXYCgBceZ0ZDmIdRlt0xg4IMx9RCRGIPD+IFxmCyF1YClcGTe7gCudLnFOFVZCnVfFGW9oi3WttrsJCmGZWo2TzXu2rpMG+KLf0bN5vMtdT7+PJXCdNUs0Z3MO4Q2TYgjdZdQVG259ZcqJG3SLoe4J+PmZkAA+aLq7kTJPKAk9PlCAL+Y3aDbW4pHCJQvMsi6ovARQ6DdKPNad6twpgPBT2w9VC6ELrX6mLP2tgjv7rHp4xAfvD31HeM400ek7oCH6tLreuY7FsK7t5EKJpcvBn78DPpQBaaYRnz0bB9M7IPT27dfGbDmjnQ7inPa79Y8x5ZnczhjXKKV7dF9153pGllTqH4FDD68QINQ5hN9aziHUXBwvNFrvhabyvI+DWwXdqlvb2uZU1/VPZy4CFmnTSPmXeWSspbFrf+b72eqr+4DvDAxZb8Q3PnjpT6bX790xHVdseAXzoYhW/zm/UNOAdwgu0vTVQR9jhNJQv2sOhfIXV1IHmgDDkMXCLd2fZbwAhJxZC5+I9/U4c/2W0QF5tK4tUzI6iBYg3FgIfRce3PcNIDy4sb0qNbuFcG+7H1TsIFDWQIE9dwvl+/n5fKlwNEUrLKave3pO12D0JImYCebCKbN32QU/dyFy17AgVF2A4LcLGhAKtw4S33SmEIo/nh5cxBD6oKtmuQydLy5x+gvjzXElCAnuNoErUX9/BxgQ1jou7pOamExlFM0KmBcDjECxCE6os/a4jkl7Rxau5DKaAaG/B6umruG+Qn8oh3ZYjFeHzjsDdFCS3WtdONovDq6vk+RCUsaFd1MmW8gqE2mAaxQTIgvhrZdeML3yRJxTKfAt5roOkF5uQ7olkXePgLUzrlEygcz05zEYMH8f13Ug29vijPJ3L4bL6KniMsp6jSQLfSUjMLimuK6F1igs5a5BzjGF7jaUhQAAYgaKsZf7XPQ5Dmsg8Wm+/zOdWKxlUzhtYghvmO4+/leLhfD4QhGXLd8jV9BOW4tiyeJ0AHu6puc4NLquvfpfET7bWXwxt3Il7ZZi1/yHJbifAedro+7T5l7GdVkESV6EO1rEAy4Tk50rMYSyEL7+0mtmj4+ueOl0FOtgBoTQ+XVKr6z0cRoJoFKdEr5zHQ5mMp1x+r3ynAEJ7nGY+oJulBd8oRxML0B4V7EQxrzEJyvYuKa/DgQzGKteHNZYgKvT0GxVJDaSx0R3KqhsPMqVcCNeVtuWys60oZGtbPmjXb//3JPTLVunpm85EWEuWCHrWBj4pD6vB37r4+bz7YDe+dnIHZckZPB/lIY+79kymnk4yl/G2t/PuvW/otkChK+99MrpVHEZ9bY7v0GWAAyiEJ+TypR6nHejLA8g3PkGyhL1qSoYjf6yR72/4V0SK9LrdwUh6xJvAegH3iHO29wwIXp//84vbSyEPuAH9H0DCA9oYK9WtW4hPDYdnzOJisErTlBCQj4YF7BWGX0Diw4EiUtxy540zAgL3ZLXXUTVX9fuo1l2wW+U7MDdLjwrIcRD7cKFyLVSunamuI798daHp7un+4JBVCGku4eGgB3xUjBPBF+PF8yEDde4AJQhaLhFrTKXqs1eokEXGnKcBu8Q8xRwcYtUZmA9mU0n0BB9dy8lhvCewy+v1iZ9svXKXY+CuK/GFiDkkLGtjn3rWgaCtDVrnN2NCI0tWeAW49t+4H6U94lrdP3eyI00A0J3BaqMCQGj9Zn25PlkXHyOMzjUM87kqR8hLguEuEW561Uu69pvj9mh3wgj3g8fEwChYghZF71sL4krUXUB0lqWxWTwl/0S4xH7qPa7CQM5TncFgJTyEtpxH9wtkEFu4XlO3RU1x5vhXorLIq7r9KZatK5hjbErAI+XFPzQVBeg5rXbANXSahfZoEdp6XH/JywgHwmAYjBbGVmnmivRe815BoG+bkOQTpo00ZxGZaF68gSRxVBlZSmUhfDRQ5+a7iyAMGhUJJFxwVk0mbpZ90EX4+OCblizlvHhrnTLdNBdJgEYOUHYCBhRD+6Gs2Ky7SsXhPM4eRuwEL7hWHEZLW3P7qELQbx12C10DDm0idi8kcWrjlVTZjotO1wGfGE5amAQC5XT/gok2n3/60DO58j7znen+x8+80RJKnO6AkKsaZp/X0qeDdXdMqnPrXBOZ/U9KxL1bvd8URmUZcyZxs75TlYGrlMoenwh4+zzgCsv4FTlP7Kn+Nk7phMlRIDPoh4bQFfczQrsRs/rmir/tB7VH2QkPEXqWJTrWUGu67IACvghl+Gt5XOX+9y9QXopaAiypu54eBJ0rb6zyHkbQDjaHVf+2gYQXvkxvao15hjCutn3ghtUILjQAfZ7DgpzgwFxC9cZsxLWupsmGZejbOnLdaJdptws7BYCgwCpZyqAba4FOTWyuxSJMMlC+Imt35/uaTGEMH0XNjzZwOyaozEyLgJTcqsg7c/MOjOCuVx52F1WdH0EmnxcRprqDOjqfJrs5G5Hj+w8GzGELcvoOksidSKQwMRGFrmRxSrHmOi5E4UnqR652bh2No+Ba7FHY5Lvq4wDCNfQusVS5YghlMso92CgjJsz6Jxdjv6z7qpSpHUgFAbdZXS0HrIW2OdqpCHGYqt34OZT3y2rnua5vYTvCKDeJ9qqv+++cH85cuXeOcmAW5qXVudmhW99Y3wBhdGeUHBEFsWl0Kd3SSBHMHfrj8cRMkZ5nnyv53jkHIeDUijTD3dr1Hmp16qAAL2XhfBwSSKW6a5r23XPrYTQ7NhjiuE8XId5v7PvskdHXeMNXpFBllhw6HaUiU8oGlsyC3MJI2kM8+zKBtoHQIRWn7l0Yc4y6jHhMyBtniBOwzLw7Dxi1UXNlWWZ7qA0Axz1di8tXq6wywqkhQWkCeduZWJvO532sfzM2XPTk1vPVZdR32vwGQes3M+KKt9XI75Sx96sbQGap+pCr4+8SBwQRps74OZ3zH0v67+zKgALY0/K0ut0UIKF8GXXhYXQ4/EyEFOdR8skKryivtsAstPaWGtLS+mKAsssoIxPnZfUEQfoDuRc8eDj73VR36zQ846Xm6rvQ5c+WV1GlVQGpabTeebBXZA1DiMX0jpPxg9GFkKVQSkY4LFQA2PwJJvxRH18D0DZFenEitd+VroUH2gGLuYae/c8qEaLTVKZvGwO7PcGEB7Y0F6divOxE4DBSmyK9Q+G7sdLOJNn0+IeqnsCb9q0SuxCFsBKHAxcxqaObY1l0GNMEBRJEOEZ6PYbGZLIVM3frNeVpi4yXUFQ9LcmlSmA8K0FEEIM+Zszz0GAsJDQhtAouzUpXFHWWYsg2FlzmPvkacdd+M9MZAQ4nZBWDVpjDln7jIXwvqMvXxlSb38ds8a8MlAZuSdRWbYOZvcjhCMECD03AsEep6IyjIeDx8yUvUPZhYZMfwKEL7p0W4khlOvc6sctbCPm7enaMzhfFyeaAYwLIl6Ha/BHgNkFlLpXNUdt/LwngEW3EjKHshCSVMafyetZUy+gJwHAz2MjzmoBHrWfSznAnwO4utcbMERLzD7n+InZEm/Cv/dv1sJL09zOr4M2ZM2yxy17/3b2zl7zSWUECBVDWPecKesAadDq7HaZ53MU++0WxJxV1L043OMDuuyxg0F3wpUMAMi6wYJImU5zupso8YTcc0AYyrsQLFnHKoeQKyu4PnM2Xd3TPqt7IO4h7PK9t2HsajlS4NW1naxgvladvgP+sCj1vdORxQiIUt8XdnbL0exPF5fRF8zZQHUvK5cybcl0ez8g6Hxidheta2z1k4FhtZrKqljnZjkudW7qmEc9PmbOu3WPdyVMNAkQ3rR1cnr5dT3LqNczz5+9g/EhnKDWb+CwtqU9mK3NzJMrEjPI9zXDkSSZD3iISYxD9ExWQHIMUK+HILjrrsp/4GIAQiURox5XIFfQZgyJuSSMADdS+LpnHfWYcvqECynzgGcHQN/PJ8yhBCiBMl/ISk+9y+OP8QjxkKONy+hg8x3QpQ0gTAP7Mz/zM9Ov/dqvTR//+MenE8Xy8M53vnP62Z/92em1r43MZnUjFqbyEz/xE9O//bf/dnryySent73tbdO//Jf/cnrDG94wlzl37tz0Iz/yI9Ov/uqvTmfPnp2+8zu/c/pX/+pfTS996UvnMnr2B3/wB6f/8B/+Q732l/7SX5r++T//59ONN974vKcbQHjnif+zZp3Th3hBzhrkt+7B4F3gFRgEMGYg4YSH7/qr/J/B/CM2cVQ3hC+DKzo3W9saC/BMhbgVQWhOlPjIGgfVXBZEaAQI/2TrowsLIcQLV0kshGqhH6gOYQqNbnw84YCIaXbxmee/uSCus4RUIaX8b3RWk2vcGM+ThePoKIUMNvIicOKvezqYXhbCuw+/rDK5bCGk/dTjlkGv25nq6Iwmlc1MlGsrQEoCQbOW+hjQPteAZvC47j1+sHGdp7qOp+n9BRC+pADClydAmK2F3m8XuBxksV4c4Pn6dWuh5uFCKejxnyMhKwN5xjxn8HMw7Fp+d39ya6bqkZDxnov3l7UvC+HhOUa09ykEq3ApWloIeT4DQvaKxxDWOSn/qjDdLPcIAsSSoKzpyWhiR2mclF3OvQJg/rrvYCXTivAUiKMmsuLpSmed+2ai+e4RAr2HjuivK+1w/eRIIM71yi6jjK8yj8pq6CCGWPMMLFnL2T01olnjw1mDZB5VFmhS2VOGcAC3JpHIqK4Rc3PzLKMB7KLlruRjfzsQjPGJD61zV/p8GHuszaWSBre+/SxuriADdM6Cvmm/oPfMG9ZO/Xbll35j7dF3AcLHp3IwfbEQjjKG+vuhV7jJY+nrvK7H4DkAy8DPAeICeM5zPE/3/IU+z3TDkN1IMRfz3JWyo+969x+ceXJ6QYkhnC2E5ZpbbHNStpzl2VuKoi2PY56DEQB0RamDSeimKxpizfWMzN6GkSLBlYd1fZQ+8g4BQrmMniwWQtYoCWdqu01xnC2msdZ6nKDzwQwGu4dKUOWjZZ/paKIYm55MhjhfXVcMcJbZ6CvgUHTAjxFz5aCHDmQZ9HyR8zZJZVb32UFc2QDCNKp/4S/8hemv/JW/Mt17773ThQsXpn/6T//p9LGPfWz6oz/6o+nkyZO1tADiT/3UT02/+Iu/OL3mNa+ZfvInf3L63d/93ekTn/jEdPr06Vrm7/29vzf9x//4H2uZW265ZfrhH/7h6YknnpgefPDB6VDT8PzFv/gXp8997nMVWOrzd/7O35le8YpX1Oee7yfHENZNa0lkqMcz+emax0qQlU7X3V3UhQtpngUCJVyITOi7g0s/83AEAEf3s/sYwkS2Fqm+YwUQuiVDzOYZsxCq7cQKOlALrVnJhlqImn8Agi40o9lkfPQ3AwGujZhCPsPJvFLnV+NS5EwCVz2fl0zcO4PvzAVAeO/Rb130DaabwY+0kc5g+troTMeD27mfXThrO01ymMeogcG53sbkXZgajYlbCrlftc3txSProcq9f+dzJanMLdMdRXGj3wgsnsmTtjio9Poy0Fq37wAsatNXkwjockya93kM4UhTnfuhet998YHpLeXYiRuOBCCswsSaDnThLEr4GPi+Qiu8dA/toJCYEQeZfmj9QpBuglB2JcSNcO57E3my5wK/sRTOsYdX2IXom4nmu8uoLIRZqVbpUwXiTUBr1kNAYXYj9cx/nlAmnxO5oIkNVmWPjeAfEcOXXcbcIhg0lMQzHaT15/oiDpoc5ww+d/H89NChh+uxEwjd0GEsgqw/0VQsUiMrPoAQN1Hfp07HIwNluJJDx5w2EUPoFjEsgXWfDYR00WFZhzKdhLfwnNepdnz2bABCJZXJVr8RDfX6HJzlGD6VcysdZTM4pD7oDPxyndVsHSBcVz6DGI9BV/tkIXRAmEkdfdB13FAXCj7jT+vGS9c9vn2UMI12jeY2rKQ9Tj9bB2Os11Hp6JFbC51O318A4RunV03XlUXnvB2roFtoZ9raFILu1ql7nEU703u9t45bbxvKeG/tgl40b5G6LqQkbUlleHfEB9o6b1+zNw90JCeXASRuAGFe6Qf3ewMILzO2X/7yl6fbbrtteve73z19x3d8R7UOvuQlL5n+4T/8h9OP//iP16dlDXzhC19YgeLf/bt/t2ZDuvXWW6d//+///fT93//9tcwXvvCF6WUve9n0n//zf56+53u+Z/rjP/7j6c4775zuv//+amHUR9/f8Y53VOukWyT3a6K7jB6bTlRrHWcMnts6V4BbuFfISkhyGQAjgO/c1vlFFlI2+Lq4wGWSgshCKlO/rgMoEShITgpchwAAIABJREFUKzxyjYzywXaW1pgQKPQh3bEnluH9shAqy+i9W++sMBUXoyX0C0KHAOACg+r3mI9ZuEpEPTMwfqsugMjIWpiFhTqupW4Hg3yHuXh7VN6ZTtacCRB+afvL9dgJv+eCBP31Pjgz8e++zuhbnZvESB20eRt53t/P/WxJdM3zaH0jdI0EH94vQPhCZRm97nisoQHD9/OuAH/rjshgfmjPWMvaAFX549ZehAAYanaZmt13SiMcFKvNAEzAuls4w1IdfcvCyf+48EBxl37rHFOybg35eVXaV5khu5WlWhRtQtZpvT3RDIxf+4+kMm7p8L3h3x1QuPuhFEPnKj2J5Cfu1qi9v1v2/UGeQ/iNTPOh9zp2YioWN+gtx0pUwcxm2JVu2V207s2BlwfTD22CT+COWulmik2Pax1CeNZBLIUBvkKN6ImF6r5rFMzPPXMXNSn7ni0xhI80QAjtrkrAxivc28OtXiQ8cXqfrTb6jfs8MdOsYfe+WGfVce8MPa9jgdwaBkjM4DTT+BiLpcIGevHomYghFCD0ZDbraE2fx76hM/CrdLPdZsxGVrxMr9clhnEQ6e/SKxwgYrH09+u7WyGdL2jcPtIA4ctPHql1qWwuvz/UihrXnQ9LmAdg3enwfhmxRwCXeSbpi3ugjMIO3NLpgLCOW6P/AoSyECqGcAVUVWVg500+dniJsE94lr2j324lnC13pVFkJ2WemF8s/VgJiTGM9Rzxg4v5a+s61kGX+XgXtKXuw0of+ufc3s7GQrgYzYP7sQGElxnbhx56aHr1q19drYRvfOMbp0ceeWS64447pg9/uGS3vPvu+env/d7vra6ev/RLvzT99m//dnURlUXwpptumsvcdddd01/+y3+5upv+/M///PRDP/RD01e+8pVFC1THz/3cz01/82/+zWHLBD71j48EBAFNxZTo2AkBv7op0boXa6FnG9U9L0NmJwJ55TIk16HKvI3pkzwGJo0W+ngBnNltKJ+D5Rt8Yb1rhCEfZuquB7ijdeAYPRcBevbS+emPth6sMYR8sBK6Gw73RGSyKxF1ZaY6GvyR5U3lupZ6mVjGgRMCASmr5zYVupm1y05MxRxmMNuoMaDj4ZJU5snt4rJ8rFsIR8BvdG1dmwM8996PhA2vb8TkPQ25aqKM97mO20gF3Qqt0yLXtd14zQM7XyiA8ObpFQ0QuqWyvrfV79rgnN00H+6suj2uMoNbgvlHMYb0z0G+93Gd4JDB8gjYxp6ODwKjAKEshHIZZTwZm9miKZBcbjp7zkkGLuc+5Jl6a6bS5jbkSQX0/jwmbkXE4qhy4W2grMXLg+/9OArGEkWTJ8c66Cyj30g0fx29BxDipTGKDXS6PO89G3PR+myVzWuY+E5Aeqy/ksHaeAPASfPpXh6sVeKIAnRFLDigkCNNRlapsPB1InHu0sXpTw49NL25WAhlEcyKv9lq2J7Rk1JoECdeaUKzWuNOn2PBnWYgiDsgZHx8nGZlT7MMZUVSdofGiuSWRKdr+p6VVlgIn9x7bnrzdV2mqPuuKcIyrcpjGuMZ9DN/dzC4zvKVwfC6OXOeMLJGwh/8+RGQy/cffPbJ6bbt08VlNOidjxnPB79cBbl6p9NVHys/AmKe18SbPA7e+YnK433i45NpYd0LpU5PWhbz0Dw7TJmZeQZtuv/Cw9Pr9l4x3WCAEH7lZy0v6q1rvsfPOg9Rvbhbj5SCZKPOfIfkMijp6zwkADifW1vXXNnzDSSuUxTmfeVZRncLINwcTJ9H6GB+bwDhPuMqrYmAnmL93vOe99SS73vf+6Z3vetd0+c///lqKeQjd89HH310+q//9b9Ov/Irv1IBnQM3lfvu7/7u6fbbb5/+zb/5N9NP//RPV3fST37yk4sWyAVVz/6Tf/JPhi37Z//sn1VAmT93Hf/+mmQgZw/lPEFPKiNGdG5rdzq6F9m6YkPrMGqx/+XZT8Sd5CMniO2Zhd/2/MgdgkQ1nkmK77w/W81wH0KAkPXBXTFEYNxl1JPIqM4sMLiwkHFIaCvjqgvnmcG6ZdDHH4Lp8Qgj18hc36KOBgxHmutRfJXKfXrnTI0hxGVU9Y+sfyOLpt49ikPJ6wrmN9KSe1kfU9c4j77TntEz83o0CWGpae9vfe/ZbiGE2Xt7M+Oe11rTuMY66W60Pk5YE10zvgLcGhPMsaaar3w+YXWTrO473RXWFQZZiFQ5NNX5jKq6X8v4yGVU5xDeeLhl3WsdZj3r724pqHGewXJ9dlX8qgqUUlCWDT+Swl1ISUXubqNKEkJsGDGEsY+622AdZ/W/uhBFMplIXNUtIbII6t6xcseFgbpOS0lPNnCQAsI3Gs1fR+8FCI+ULKN1rI1mZ8FM9zg7lpjCun5MgPM4zbinuM+w2eXno2xzL2vAPp7pn5wYzDN9claZhESV05rJyWOyFYvnAYRyGQ0PBgHMVa0S6519Eusx2pc9KbJ7dnb7dy8PPY/LuPM5r9OtNHqnA1obokp76zmArV1qhyunRlZCuYxmQLhOqcaojICWW0wzv/M28n11hFdLMWfcCfDj7sDdFbIrrfp9fw7AmvmDAKFcRmUh5JOVbA7KvJUOGEdjpncBGlnPzyd8wsGgnhOQd3Dm7cyWQfcwAcSxZmd63YCiSDYWwuuPHJo9RkbKS9a7J5jRtT4GEVcea7CfS5itjshbCrnp8wNdX8aU56R/7j7qewVw6EYAVyhBb9ir4hWbLKOjXXkw1zaAcJ9x/Qf/4B9M/+k//afpve9975wMBkAoF9AXv/jF89N/+2//7emzn/3s9F/+y39ZCwi/67u+q1oX//W//tcVEMqaqLhD/8ga+bf+1t+a/vE//sfDlq3TGL/pxPdVQCjr325zAVUFAnlY7HAlHcX+eRZQBAh3P8quR559TsIax0pk8EInpDlGg4xwiOCAxtjjTzIBIuYkiG64FDxzqRxMX84hvG/r7SvaYo8pQThFsEBgINbMBeZjhRKP4gbm9pQvELBKtGDoTdDPGuYMKAAKHsMC8dNfQAPXXNOYx9YBoQsWWQs4aq8vLlwVYYD5bK26jow7O/PPAodroP0dejwLetz3OrIQkK2RLmgIEL64uIzKQujjrHozQ81ALFvhyBDHsy6QwfR1LysF/F5OBT5y//V20H/AdtbM4ya6zl1JgFBZRq8vFsIYl0jz7d/1juxK5Fpqxl7AT5YU3avxiBrD8i8DwkgQELPEnNZxaVbDGL8u6GNRrAK8gcLsFoTLkCeociWVMh7zuVTOpToojfE3Gs3fzyMkH0zv4A2Qp8Q8AGzFffMR/fYkMlmR55lfZ2VZA55Ok3we3f0fq2DQju4mqt8CgCgXAKacIVsFcykGShl9PNZptySu8BjCutZah7TmWI+iQSPFmivkfK/0MVn1KoCe+3m04frazuhsG8iVMNAJ9h7JzKCvfW8FncqWTqcLruj6ws75AgjPTG8+eUMt4oq1DMjmiZ7Hp19x5VMHyqtWNVfmxb7u7/Q+zuOnvlgZvcetkd5mys30tDzHERExbkueI16NhfBbi4UQK6PHGTqQzHyXe3lcYn0GOM/ZsLNyMSeKi/W5OofOfzN/4P1hyYx8ACOPEs6IpLza9sGLD093FguhJ5VBoZmBKTzA3+e808FhBoL9nZFABrkp9kx89DznhDpPqHPcoCfP5szCgEEPE3CaAh3Di0T0/n07v7g5mH60eK/wtQ0gXDOgP/ADPzD9xm/8Rk0WI6sen6+3y2hubj52wjOKViLe2A3aXsULeoIX3ElJEYMl0EEhBxa7JprsovmoCd4DyHPf8GhPkJQ5tq0QD9yP3J0IDZO7JcCEIUpnSnIJuYwCCNEYo9FSFrpOEIMEirGvur70RC3uxoM7xjo3B4+zQ9BHuMcNpTKipuWjjGLGgqguD7znmv5mTba7KmKREiB8ZuvM9NbrXlD75FkpgzDHxwWOrFB3DbGvLRcUol3x2U9brDIupGThACbvIE9nRXGWob/f35nfizDwewkQ5rFepy2udbc5yX2mDr8+YpjZolfHuQlDPrcjgE/dCAWU8fa6Ec81zvO+Ke0nqQwuo6P1ky0WKEEYU8Chr3Hdc2u8rGaMAYI8gjtHCvj5U2SVi3dEplEUQh5/7N/dXXQ/d9wKcA4IEH4z0PycVIa1lA+mh55XoG4gfhRHSB2uKMyAkOcILQi60ml53i8oAAI8BQBEsHTwV9eaysweGgG03OU/rPV7JXb04vRwOZj+DXuvnjNGSzk4Uja5wg1auu6YGUBZVuaxp7P3iu91ZRsWUKAM/MP3KXTBYxP7mHcvhbpfSmegTdBzFHSyEO4UnnfnqesqrdcnaEgffYT+/ayAPl4+b5kWuoXP+wxvcDpWx3DAHDINBnzpgHt9BAL13XkCtDVb/z70zFPTC7ZPVpdRXqVnVYcrFUeAl2sezuDghrF0Gu6gUnPiilIH6u4hxIHynV66d8aY37M+R3zA2/D+C5FU5nTpNErc2IfB6wP09oQ2/B7xweV4La2E7D/ovisGYx10K2Edt+Rt4L97YproO7yhtrfRJeQTxgzZk77tlJjxa/Xc2XX786CubwBhGlltAgkGv/7rvz79zu/8To0f9A9JZf7RP/pH04/92I/VW7u7uzXxTE4q88u//MvT933f99UyX/ziF6uVMSeVeeCBB6b77ruvltH3t7/97X/upDKcSyXAJ3dQgB+a9mxtcs2vW/liIy4D/2UBREsf2ue4T2yh/vLJGmV3Mxq5jcJMOasqu626AOFWpjNFMMwWwjl4uzTG3YkQSMQEnHGNmL3PNy4ZLjS4RU1lswdedgV0TWPWXLog4RbAddpYnhcRfbgcZ/Ll7cen+469tAoFcd7QUksLsR1lw8ughtgLFzCyUPB8CNFI6+zP0Ube4xn3RvWPLIu6BiB85clyDqFp6kcCgR96jDCVrYQh2HXXIQdJI4HFtbsO4Ov+MXBY10hjmj7fIwGA9StBUx8YPXXG3gzNNIDwVIkp6XsoBOp1n1gjTeCumvEoW616xTXIXa317lyXu/gRJ1LbueadJBdxUM2apM3yHMjxg2ScU92cZRoCxcXS990raiH8ZqL5nlRG9L4KgE3l48CP+Uc4w/Xfy0C/ZwtFcxXVs1LSIbSxflXOPT1ibnrcIHugxkWpjmYZdMEbS7IUfaHY6usPGo0Amt1B6zmEJamMYgjZJ55IRu2BDuqduoeFUW2SpY4PirvqttkuuicFCUZ0q667CmgBYP3s2kyzYy+MwRF7t5ZpbfVt43yDejwe7tEz4TJ698llDGGmNSNgNvd7HWGoNCDazmfmNWuuZ14z6rfTZX81ZQXmeI/3NT+n3wDCV5wssa+J3tN2V0rG3BE/F3RdGV4DKC2Vm/s957wYDx8HhD6fgHhiVy+nTFTd5BXIwJDxqu0t/x4oFsI3TLeXrNJSsMRd1g/HT7DG8XLKfIckPHp+lGwGcKm9h2LdvUR6m6JmFIOxtmN/cSxR389xXXt/dDQR9MJji13+FL3fWAj32bhX8NYGEKbB/Pt//+9Xl8/f/M3fXGT6vOGGG+q5hPoI+Onsql/4hV+ogFHunwKP+diJ3/qt36pxgjfffHM9k/Dxxx9fOXZCrqeKKdRHcYgvf/nL/1zHTnBQsWcZPV+sgSXNzOJcQs8Y5ww8mL0SPVyahbPKRNtRE67NJxkB1kSshWS8AwBGapqlwALhyEIhzNhBIVMDG4+MVt3yNXIZxVWUOKgZEJkwICKcgZgL1JV4GcOhHdm1xzXKKuMZLd0Sl0GgyrqQ0fvZBY35nY0ZO5OHmX7KAOE6K6BbJ1WnZ1jLgoMreEeQwt1zXPCCyfpWQus7M659iNY6oUHtUT3nLsbDeQxwGRUg5LNOGHOhFNDndcJ0fQ7nOtsX9TkYeHfP9G5lCyHzrL+V6TVBcRbAbZCz+xBrMAsetc4G/skyykHF9AfNsI9JdlH2eZkz+pp0WoX1UoGEAly03TqY1weCPiC5uxnFoeSyJGYrJC7jUjThcl77UIFf5BcdAZgrHUP4zUTzMyCEZjPX/ttBYGR7DvdRlHcC2roeAlnEkLvr6GxZq8q/pacBCYE8syjr3JPIxJrsCkTaydy7ZTCnxo+10F30HRDi/YHAP9fbaDtt8T2YzxvMNNP3mrtxj5R4vu/5nulTtkj6+3w8sQqqnpw91Pfw58+enx7fe3YGhOxBxsCVnZ3WrIKfGJv94/vc4jeiqdDTkcWNNrsiz8drnWUOq6bX6bzhA0+HhfCOU+EyOtNIjZuBVqdN696VlaGMif72sI6g9+5V4UAMOlznrfEGDpN3sDxaH9njhzJcZ/0iJ+i3LITftvXq6XhbaCgtAtz1Ee60fWktVAnA3dLVNqz3JBsDxHoseQa2mRdAp+d1ISVfjQ8OQ4HHFLoHidc7shgGiNycQziiNwdxbQMI06gCKPJgC/z9jb/xN+plDqYXkPOD6ZWFlM/Ozs70oz/6oxVc+sH0ygjKR1lI88H0/+Jf/Is/18H0JJWpRLJkFiWJjAPE0VmEEB79dcseZnssgA4IVRahwt1PfczcYpLdRFXOASFtQKtMRioRExEEtxB65sKd4kL0P0sM4du27quWDa+XtkDoFBtYx8a0t3N/jZkI3Lilrbo+NaaQNckO+nAp4R283+PIslazt3HV5WgEkpyJSdiQhVDHTrzj2LeaS18Etmdg49pnzvdD6KEdDgjz+l9aVeMuPMgtiuv6mAFEFuRi/a3GGWaGDJjT9feeiSyjAoSXA7P+Pr77eLqmfgQK1b6jhbepr2cvdCEVC567WI407YC0kWY7jzW/Aal1bMp7sUxnC6FcRl1oXVcfoBRB7XjpzNmy2N26B4N2QRxLoa5xDAXjLTc+JZWpGvYKekO4IHnI3JfUKCxXog14J9T620oWXZHCSaAGl/XY3xJcrqyF8JuJ5rvL6OGSVEbjozMHPQa80qC2OwGIfiyFT4XHgqOVd2tt9tYgZjArx2L/xhmExAwFjSCuFfq8pDJZYA9Qs8wgijLj2YuyED4yvUkuoyUcwAEkYIj95clcRsq0WEt9H7O/3DKYQYMrEl25U+uybjE2Ofsk4w5Pcc+ROlZlE0GT/ZB1qv7MmYghvKvFEGaFnoOQaGtv1zp+kq2A0C6sdU4rnc7H3K4PIXCLHTTbPVCCHi7jkDMNd5qt8g8+8/R06/Z10ysKIKROX8sLep7atqLAsgu5H4ArhTNIIblTFJLrAB68tK7/0igl8cJK526cxJGy5uAX8AXCQILf9ca5B9PvnQ9AeLQU2i/hDfzBx0b7UPReylXnA7Fvlwln1G4Hg2Qb9foAlmopoTzL+yUxVVME6boAIe7j0AdXPvGs6D+eCHgoiN5vXEZ9dA/u+wYQHtzYXpWa/WB6ZZ0TEBQgBKjpNx9dP1ZdSYPgYL3L7qK54e4OKq2yPoC8fg5WJI3xe/qeY04qsaqWxy5SuCtrzSY6Q41oiSexcEDoMYTEnIiYSlgIhhHCqQQHxQ7mTyU85TLuFfVd+zB2B4TRrvg4MOQd2c1k3QHG3iZ3Tx0lPYApwVRkIQQQznPcviySwJigMZcr1zKD97bzPYO02t/yb8TMMxAaCQzPB7joHVn7PWr37z33p9NtezcVQFjWfWlUFghoq49xBS6t8oVFr43RyiKxC9kr0t05R2O3TlO7ztXUGaRror1NCK64jHIOIWsjCxqumPF4Rh8rBJC65soLEAZ4r59RVbXIbU8xT7PQ2JQ32r8OCqinXq+WqDh6ABoACIz6VoUhXEXjmcPT2SIUH+Q5hPutga/3vWwhzIq6VcXdEro5uBZdzy7zOX7Tk8Y4iM8eHj4uou/HipIgwHuoGNxKyFET1OfJxKDvqh8rNevxTAGEOnbinq3XL2iQ773s+TGHEDRFoFtGoKNcgx4ulV/LxB8BeuONvufc28bBqCsg9R2rIQK99vOiTY2OuTs74M4Bobs/jpR17E36tFAmtsnTtQWfaAPpnDLTa6eZ+9HyPEYZrPq4OG3PQNLX1QfKEVu3HTo5veJkKKD8uVhjnbaP3qcygL39+uF1Z4XFiHfghun1+/pg3kcZSbEU4/LpGat9XgU8OZgel1FXKKAsxFtnaUHtsYui3z28pMf1olzBTZTQAXhC9G0JqyP5WJz/rAzA+ksJXcdCiKIwx5bXOo1nsB9dHtW1TQzh1eM6G0B49cb6QN40OpheB9Drw3mD+u7uQM40aVQWBCqBFfNrthdpoT1Lne5LONPmxXU0u32Ngo0lBEIYPNmACJIEwxNbhxdCRE9hLq3YEtTJhegPtz5Uk8rEWVM9ZsQHW3UfLSBxJGx6nZ7MYMW9rbx6FCbl7j77AUPakzNPStuHRZIyaAk9sUJlMHVO+l9iCN9eYgj1cS131m7X+WxaY3/PaFF27ffyLgAv2jfW7jpDx40ng7XLAUcHkiOhg/sChC+ZbpluL2nIZ0ZkmudR3wCE6wQC3uexIou1JCYmBUOb7Bzjh8Y3A7E6lwh7zWqiekNrGomO9gOE2cVM4+8H08d+7SnPvR2jen2ePCFMpRWlPbIEOjAkwYBnmuu0o4+Qx4ihFa5rs/xHO3A3jDXds5Y64HDg2J8LF8cNILxh0rETccxQ0MQKvpp1FWsg190zBDdc7sEXcBnlepz/qFo7zc1JZDxrtB8t4espJ5LxOcb7w7MYal/NGTzbmgYYPnfxfE0q823Ta1qGxm6hcrqa+cRM7xqNnNetyber3hLj/drXfE98g1U9g5BsRa0eMHYxH03jz2cLnWbhs8VC+ESzEIZlpu87fR2BqQzM6vw2PjACPtz32PERKOxvjm/OmQFI0GlcQN0S5RY+2u1/K21Y4o/pQ08/M73g0HXTK08Vz6F2L7uX5v4So9iVcx3IO9jLwD2Ppced59AQB+/EEKr9fubtfrGEI/6YwZfap3MI3zTdPp1uMYQZBI7kE/iT857R2DLUntUXfoJyJgBgV4RHZu7lx6csK4POFW+SnEme+EHkPN+rjNnuJqlM3m4H9nsDCA9saK9OxQBCXEY5ZkKgUAwdUIiWPRh+MHoP3I3rXaggTpDysgx2gSC4mruLctZgXI/YQXdBjdiVsCIKFGYribsXIDRw9qCIziJBTGUWexMWwndsv6MKw+4Hvy4N+UiT68zAXTpc6I9xWH4gju6OOWuNy82RkAGhD6YcFkoIn1sFszVw5KIFIHzXiZeuJAPIGlgJDxJG5P6iDwIEzGEkYGQrHcR/pP2dCblpaR3Y+X2+uwDkYNO1sF427ygBwhdNN093nFRyjdWPCwH57mzVapaDCqAEcjOHaw+OrINuMc5uOt1VjiQGPb14jP/yRb4fdD8DUmfErJd3X/jQ9Nbp7kUaco7PcO1yra91IAtZjLv+zskDWp/ddYg6chKQfp5U9MeVQLG2li6kQYf6bLHf2F/uMopFsL579kzYroDwwzu/ck2mIYfe33P8rxdX3WPzeLuLP2tdx0qg1IPmk6zHYwY56iPiDMOCuzy7kLntu8jPGtRVlHtkivZ1wnmD3OvHU0R9AMCgSQEIWRdSRGSXUQFCnuOv8xtXsowUP1jn3D2UPZljff15FBNYCbPlhzZz3WlOdkldp7Bz2ucUQjtGgFAxhPeciqQy0LBMy3VPro7qZ07YRX88gYs/H3s2Wg4NcSDHfQeV3o5M8zPYod5QWI3DBFDaMX604/6nnp5eJAuhAcJKG4yGj9qsd7kVz/lCBqa8M5cZvYdnR32cy2s8W6WZJ/u7RnX4mhb9dkCIgs35hMcUity71dHnzXnBaA48hAAQWBUuiQm622itv9H17KUQYxGuoAu5sLmXIxOSjTrqCnlL9zYxhKyUg/+7AYQHP8YH+gaPKdkq1jW3BALYKjgsrqNoiuU6quMm9PEkBAgPVctf/gEK0eK7Nr8eeF+2K25HddNX0LhdAR+CXaQ/jw+EMWICg+so/kiZpwCE56VFamnKcUFAUEBjBUB8+pKyjH5keuf22+a6SUOuujOgERN0SwWChgulmUi7O4/uqWwGgPVd7WUZUGStJ/UvNO8NRGUh3q2BDgiowy2EgE+ATRZ2+ntXl2NuIwKCCy0qMwKCM3A1IFjnOiG0lb6ZtENZr4s6MhN1EAkgfPWpoz3rmuanzb0LMhl8qv4s6Hi7XbDQGhBzJWEA68BH0jWx1OPuyLhrZpe2aEffD3n9zYJJeb8rILTe/kcChKP2rwLAmBhPQqD+6UD6mjymATh3HVqXXKCnFEfBEOcPRjtWIXqOGcnxin5ETWiOm7th2XWAFNW9s3f2mncZFSDc3hKljWzPsSa7ks9ptbv8+6HzlW5Vl60AgNAk3ESd7vdE/7FCiRfMaeUF+twykDMN+p7Rd2Kr2FM5FhwlX5334pb2ye2Hp7dsKctor6kqGeq67QfBO+30d45od7ZQ1XEpQzo6HqjSwVahewf4WaFuDcrtGCkP19E42o2nhQDhYw0Q0v2RdQk6AA3L/Ru5xma6k+cp5jw+6xR9+9F8z26ZrW+5PgcpvFfXPvDUM8VlVDGEYSEc8aMMcEZg0dvJdweMmXK5++WKoq1Mdo47RbHoJHC0Jlxx4KDRx95p5vvOPzzdtfXKogDUii/K9VKB832ew3K4Tkk5lxONbePoFmHdBwjGXgiljJSNngm4rrNWNr53bw/RAD8yLCsK4x090RiKQvaWe5FssoyOduPBXNsAwoMZ16tWq1sIj26dmEGZWwQBiVgFYf6zFaNq7QnmjUyjfNxSyLWcjY7MpWh0JJgoc+CxAg35uNCSM9P5+YMwANLbKx5QBInYJdw6JUgoycAflHMIPakMQi0uelFfF7hFAN19z8+GGgkRMPAM+PR7lHwEAj2KzaEtwVSD7cxWVAOFbg3MjKQ+U8rq/RkQ6l5mkhnc+X0vn7XR/pty6zShzPFIsBpp6PO75jVinLgyyzIQrq3OQsB7ng2X0TtO2TprmmeNzMcwAAAgAElEQVTWkTP3kcCSNcEq75lY6bs/u5/rsB9UrHlCmEAru84yiEA7EnRy4gKNqa799wsPFAvhW6cbyrETfPwgZF3rDH9pocxj7utCYwDj177DRVYCAUoZPR+urlgAQ4k0yhQZ7eheA92qGBpgfQAh0KHuqh6ui+6NsAGEN0zKKq2kMvkDQMzHTGQLIfQJzw6EOT8DLLvzAgpFk7LrV4/9i91N6nnmvlr+GqSIxDPhbpYTyHgMa7Yen2mA8J4CCFdBTtB48YXsqufg0ekRNNzHMNPt/J5MX9ljeHrQ5pqcrHmJOEAYeSA4yMDqNAJtjz4XLqN3n7oh+RdED0YAEDro99fRVC/rY+KATd9HseeucPP+EFV2oeUy8Hv+DO8bgTzuPWCA0JV5+yn2nP5TbvRe5jErkRd0P202v7egn/ZS5wFzH9uXkRKx0va6N7r3EO/5vfMPlaQyAoThYZX5mc/xyMMkz/solEB1QP+jvqDxAL8AmU0B1e5xMD0u4HTf+cHIapiVhu450uXRrU0M4QqVP7gLG0B4cGN7VWoGEL7muu8thPqITumqR03oo+/66Pf2XgF6WxfK+YRH618+h5ulcHdrt96Tjvl8+a7y3ba3dA/lWXLByS1VVseZ4Jk1shKVplPdLcdg1FrbfT9M2QcLYSYLgq7dlnDy9HR2enj6/XJY69uqlrta78wtQUAzBAQls+hadDEGAU1pnD1hDQHOnrgGohgMY5lQw+/VcR64VdAvt/BJ6AHYepzWLEyoHhsQd7/SZRjboxe/Mn1l+4mqNeR6XnRYQTMAHS1OtN8OQuc5TQ8ASkf9q21pqG+kLc0guwqYg/L+Dtesox394IVPTbdeunX61qOn+trTPNW5Ws2w512QwOZuNSMhYVU46EH4WQhhjrIl18cyW9ryehmtkXl809pT2x6cHpju3LtnOrUdgDhb7PKaX6yptsL8YHnepefcOlTXeVMa9fkuVn0DavXA+PIc8WsjjTBWv0xXRDtEQ1BiEQPt5UTL2P9yIfr42V+/pl1G33Di/6r0Xp8Q14LO66Oxctqc97rGV+fUeqy5n1kLeDxf+ATz4spD5tYznLJGWDesjWhXKCycBmGZjOeWH/ck8Ttnpt3ps9ufml6/97oF3a51NOE0KxCpP2eSdeUftJh6ZB2fvUdM6eECbMQsxgcLnrc1BPt+D7dYXfewBT3jSkH9dsGdOtXeL+6em57cenq688it9bKDS+hs9GE5nlkJ5SCX9+UjOfy9fB/R4zqvpZ8joOutcIWqlx8p1/w5FKwCOB/ZeWy6Ze/09NITJYmYxqkVzBZWntd11hzzOYrNo3xuS/Zg8HZ1ReJSsZtdjvU+p7t4HI1ArOr3ox/UR7eQf3T6+PSqi3dMpw81eq/7Ng4xF/1tyBl1TSzGawno3ENrHruk3CNrNPIV8cNuycPDo9cBXTq0cPmva67NHvknXCHFO5SzQoaFvb0LZe5/9Zqk98udfPC/NoDw4Mf4QN8AIDy0/YJClDNrPdBXf4NUHmL08+n7nvzY/xcaI/VHn/+V+vTVLKpN/6XYeX5rf9245j3BmI7Ka53td/+rmbuvpazacPHSY9ekgAC9v/74nWXfd8vw1zKeX8uze8XF/2q24/m8T2AYkPy19O1qP5vbzW/APX1aHspxtVv59Xvf1ey/3jUaZ66P1te6+btSI/Z81v6Vetc3Uj3q99M7f3RN0vurPQ8bQHi1R/wKvw8B4fCh274hgYEchWSf84+uXanPpb1idWya8itVJyArC78ALxeiLwdKDhKEqu/6HET/r+RYHlRd6n91RPsmAPmsg8uth9H9dSAsr/1vFMB2ufkWPcg0gGvr7nmdGo8LF790TQoI6wDhfiDI72Uhd53gm+fw+Za73Nx/rffVDiyj6+q6VATI7QFYXnf9a23T1Xpe7c/9H83tN8pcXelxudj43eXmf7R2K083W7SP0X4g70r34WupT/2vmSCuoCKIPaG//tE78rWvtu1Xah0KED6184fXJL3/asf8ay2/AYRf6wh+nZ93l9EjJWpv4cbVXEOPFFdQdytyt9IKKJp///ni0hmpZyJmJ2vk5GYUhFUxh52AeIyiuwLVuhX8XOpyVzJcQnU/xyMukq2kSAmS0ZDQ4NniOvaJ6cMlz+Lb56Q0uGL0oPvOBmRPkwtpdhtZdzA19lbckdxNCPeh7pK5XAij1OvE81Eyuym6e6dn2nOXGE9o8OndZ6Yni8voPYdfvnj5KNA8uyoxzjXWxXxa/MDb7BZa577FL2Z3Je7RkOcTTzhyjRrFRVCnp/TWtfef+8x0W3EZvf3EiVokxxzp2sj9tV5vfc5xFO7aNKdPb2VHLkq5HlzDMlnIc01cDvEa15WAVMU+yWVolJBlXjOtnzXr3N7905v33jpdt10cqNuEMAYkAsguq4xJdiGiPVrr1YWoObJlN1NPIuJ9HI2zJ4mZ57C5luq3kp1wrqm7m0YbI+awrqtGb+RaKlp1sRxU/NGd//eaFBD8mCEdO1HXfTt7dt57dvasu91y310W3W0/0+7YU93/MLv66r7oN3GLuATjIurP+v70GHI/riLqW7rLE2eoezvlmKGHDj1c1vxrY100F33OTMt7zmnzKG7ZY+HYn9m9MtdZ+9Hivfk+KkN//d7lXDx9XuYEP+VdZIv84s5ucRl9brrr+M0rLvnr2pJjwec10vqQzyFcV95jB9e5aHpfs1sq99bF7/mzmS/w+yPPPj3dUg6m/9brDi/cMEfP+rWgsX3eRrxJ5UX79+MXPRmOU8Vl3V6P+2sRS8g1EtF4ojKPM8f11F1dH9z7xPS6S6+aTh4qO6y6LPc4Qu+T8/M+7hHugEuqxwaqjMtEEe8dspLKL3sb8cF8ZlfyKlf16/omd88TJY8EoRCeaBC3c573v5I9cSWNs0x3pw/u/PI1Se/X0ZaDur4BhAc1slepXhcQAIR6NT7a+u5Mm1ggEsGwMQXwAGecNxhCWvhxk5BGzys9uQtsdJU6Z6bTvkAQcsC+bpOJinZkYcGFY09AIIJIUhllGa39bBzXmZeuB4BsaYyNukFEPX5iwSBbWZLHQOwzY/d0zyqTmaHHNWZhYr9ENqO6oj8R+P3IczvTnxVA+M4TL6n9R6iPsegLMCcboF7qIt6F3/P8meDj1/iehSx+ezt6K57fN2c+Xp+eznGBv/vMl6Zv2SrHTpyK2CnGwPvhbfHAf0/Hzju9fpgqID7iUVazp3rciceceG+zkOGxLX0s+2jCgiUs5MRF7CUJib9z4f01odL1R0qMhgQeta/8Q+gAvBNTWQV+i1+VEEB2uZzsgbiqSHYTiQXqHGidtSQDvEfJZhhzxXDtlhgsPjkxyQhQKg4lx5SpBhILkL2Yo28ulZiSB3b+3TUpIOSD6TXOnkBGvyPbaCj1XFk3UuLFvPWkW9B55s2VcHkHsy58fXj8NVmiSTZR21bWUo31NsUcvz3GVusI4ZX37pR19cntR6Z7tl9daUGP81tNPkWyMJRji/3YwMEo2VgXcFdj+dgTKM3YV/4u9qEr5aD5c5x0a4wfGh8Ku/GH5z935sL05Utnpvuuv36mdU6feNrPMByBV+gcCV9ybODlYgJzjGJu9Tq+oHKuCFvT3U47EhJ535PPTS88rHMIV0dKDp4zzWnPZZCU+UcHePEkNTiggu7ncXZekGmn6vLsprHu4x21Pq3dlnSoXhsMhMohl+g7x04oX8ApZVtrHz/GalZOZgRXypJoiXeNkpx5YjPmKtrcaX+9br+dB/isQBN8vnPSsQB70SL2XR27BkFrApsKes9P79v5xWuS3g+WxoFe2gDCAx3eg6/cs4xealTnSLHkoc11rSMZ5RC0lDRAx08gUOjw+TnAvZFHgT9tVp1pRcZRkg64EAdAdKCJhtizyznAk8CwJABL/SxnD3bLTMkiVwSFSmDLv6fKQcX/c+vD9dgJMoeOBFyVV81uDYN45mD6bCGrYKk0wC1jfi3PsDPgnEhgpDVVPxxwzkyqUFKAZ2Y4CBKPPHdu+tLWk9M7T75o0QxnXhUIS8tc+sD3EKbG6cPX9Yc2ZICk8jmpwohBer1ZoHCNcP7ugC4LE7/z9JemF083Ta8+Xdb7QGvv1kZ4JGBa97p1L1rn/cgMP6ceH2m6BTJHfcvXsibYV71rShmzEAiWgE97QgfTv23r3ulU00i4YBFCdpxDNpoPZ8C8h+xxWLcdkLvF27XJCPZkIlVdaJX1PBnodJxM7ucMbpsAIKqljzTJbl2SQsqPTthkGY2D6eUqnpVwGj+NFQpBP3jeLXxYXbOFryv+unLBFXqsFbfectSEA0MUfey3oMFLQOgJtXIyDLJF8z7R0jMXL05/vP3QpCyjWEgAhZTLVhlotSvtfD+4RR/F4VIx1LPzci4t7xolWclgKtN8xkN/STCS6YOX4Z7+fvrZAIT3FkA4Al2AypESTG0GAGYa7/0Z0VHd7xbUfpwTc+rvW1e3A6J1ZZxG58Ps9f77nzw7vfDI8emO09F7wJXPA8AwWzGdr7iyz7GT00qn7xlIevupK/cP/uHz7/xIdUDTHayh1PNER1F2b9KxE55l1BXNc5K6ZM9jjNaBzkovxCdMs+nt7ICzZxv1/js4XJxfKOVjW6Uoic4piV9VCMVROZQnmd9K0ql2/JgshO/Z+YUNIFy3ca7g9Q0gvIKD+fWoKh9Mj1uV/pI5jkxxlbAoB13JMqdrLgxwHqFAH25clVjUbR0EWOcOuvYZYEi/3XVIz5CmHBfPnJLef+tZ0tjnbJ8+rn52YAaEczuqtrWzzCwQuzDsgBCtnL/v+VoDEQRGDNWtMsu+LFeMaw5Hmm1KA8r+5Nmd6ctbX5kBYdabAgB5DiA4WqcjsOrCnJ6h/jyezgzX3etrpLPgCNuPSIPRx5nyiLH+ztOPTS/ZurEAwmKxTlrhUX3O/CtYaRcyo9azXhYtsY+jvtMmBLv9MuY5Qx4JnA6yQrCLMfHr1C/hVsKLAKEfO6F3ZAs3wjzWDN8jHRCH61EWJNFM6xmvJ7er3m+WxAVYFM0oGuDsVoQgs85zIAPCeH9YEUXTNhbCAIRHBsdOaKwAz3WsmpeHaDrKPZURkAx6Hs7BQdcDjAPMWSt5vnzeXMDzPYfLsYAdwqaDN7cSVqUYLs/t7yizsgDhJ4qF8O6tV8/la3+l8Gob1s8DrP0slfv+XlWuhfeIf7KyZwZlrZDvZd9vuJhnWqV9i1GHPeYKuQyoHATqldBhAOHbbwgLod8b0X7dBwSKxh5qmcAdtDq/quPVFIVeP99p5zp6/3zGkDLr6LXe4ZZTlYcWv++JAIS3Nwuht4M+QSP34ynUmfmbZ4WljK+dEahc0vJV11T4DOOcPUpcAa13+tpyUHi+vEgH07uFsCo7SoXZ6yOPbR4bVxRWK1yl/c0K2AY7K1/VNhSG83ooFWdLv5dh77tiMfoYYJDjxvxIohh3577TtFsA4cZC6Lvr4L5vAOHBje1VqdkB4d52JGsRk/c07jTEtcWV+KfkLmjlAX24aKFZBmB63IkfjBzvjjMN/UD6bBnQwfO4C4goZGYWTGGZ/mAWQhAcShkHhGihRGBXXKDWMPxob/9kCwt3sqDtE4sGGgCXNc7uggTxR6N5tEzXyeLt+JXdHr8gKyaMypmNgzGuP/TsuelPtx+fvv26cBnl4wKJvuu9R7f3prMXVyNkRkCQesYwbdUKBqiTwOEM+XIa6XUbBGaewWLW1AIIX1MAoWuXg6msfvzwXWd4I6a/ro4MDus+koa1LR767+6ao36ifHCg5u4/ec+oDj+PUILuf9v90HTv1lum00XanDXVpdzx0qCdciFrhV3AiH6EMMH3fDhxaLmjHiw21OmHFfuaV3kUOoyhH0GBoK99L6sh+1o0AcHA9x20xGNOdvd2rtmYEuj9vcf/7zInR6twpQ8xmEHTOlXDUuheHSoDjYSWAwhJJx91xqeCt/KfA3vmCDru5xCi2OsAorscu9cH1hBoPTFOssTl/awyz1y4UAGhXEY9xo41VPeiAcBMm0Mh1mPIsTJmqjgCiH5ereoZxV5noOSCsL6LTpw6vFf6oTYsgY/uZVrsCieNx6PPXZweu1hcRm84vSApWVEnuinesrvME1KfcQXnPIelAmgrykZowQigXV7pFzVD2xxQj3jsyHpVn09Kqt8rgPBFR05Mr1x2f3geX1bOueWQfo94RFeSdT5MW3gOBSBlob0+Vg4ug472Kcvg0PcZpXSN8wjZdzqH8E3T7dONZXKh2Xg+wX/gISiXM8/UdebF17T3kaMyMmAWfWb/qA636s/eHm3gR0d3STkY9GTpKiraH+9fzgj9PldyRWwA4WLLH9iPDSA8sKG9OhUjIOigYgFCEgx4ogGSxrhQQHwJrcRC6OeNoTmeN3EhJSp3rPz/XD3vMBIKkDxCmmXOpfEDjn0kONAYAuCuRX5gMa6h1a+9MrJg5O6280xxGf1YcRl9e3EZlaARTDc0vtlHPjMxvT9rk2Fi2e0oa37zzGZBIASGELSdGUpLLNdNMWXVebT8FnORhi6sMfHbBQG9KwtHdT5KOQFCuYx++6nuMlqBhoFKBJEjBRDuFEDIJws9Iw2zMzHe6X1/voAvW1mpY+QSq3ZojPis0/Tq/m8/FRZCAcJFu5qA49ec1bigka/7M5qfnSJUUcbHYz9hos5ZK+DCameazX23lIPx65mRVdDdjmu77cU6mP6+YiOcBQS7l4WxbPXweMJ5rG29MkbZfRRrj+8RPa/9lrXbKwJFG0mSD0gQ0HcfIxfOd1viKnd717s2LqM3TPcc/+vVZdTjB91VtO7XBgzdfVRWQSyIKO1cIGUu6vop8+XWQlxCodnE/3hiGFcQkiAGwJetB2qjrkHrRcPPtTMAoed1L5V/+v2cXEa3Hp7euv0aA6exenGRxhriLtYcEq9yhwvhIxmHaDRr1/dfra/xEPiNj4vuz/GApXE5nGAduHLarj45+MrxhIBO2qLfnzZA6HvLASE0GUAIjXXvAvY7f/ej/ZlPAOK9Dq75vfw9v9N/s/7cssWcijfShvc+vjPdduRYdRl1sJ3rnkFdItKZlzhNVFEpTcUjHayz/niHnlmlpau9G1kbVQoa7m6uo7FxRSH388H0ff5WVbfuqVH70NYp3zNfmttWdsfsEZDGL4Dtks6P4gmZzy6Dhas4yWrqu0xl271LlEG4KwZpx04BhPfv/NLGZXS/TXSF7m0A4RUayK9XNW4h3CoHVDsgrIzLQBsxhLrumncxSEWjeAIINi2aZweTs3a2+oJHXR7/40LdMUuRzCHYQeyXRMx/eeIBCE7VOpfnEBREbJRk4CNbD07v2r5vAQblXrFwTzINKC4SYjLZOsjvEYOHkEqg4INgwaWlFn01KUH0ezWIPFsOsTaukvlgjlx/+Lnd6U+nJ6b/7fQSELrbT2acLjyoPSNhINq5dOXkt4PAPE5YykauPKP9QV9cg+oWNsZ83d76b089Pr20AMJXFUA40ur3eVrWkDXP9T2tiIM+CZLnDBBSS87ilgWE3F60slmzHO8NBuxryi3cXOcdWAm1F3AZvblpjEfjBeMXkCNGCkshWmb99f3i7kOujHCBgL3imuIQYuIJYgdh/NmTAFDoIFIAAutiJNhfSiQCM/VTLIvXelIZAUJZCDMIZL14tmldQwFIYhndz/GHnkimz2FfzZorzRExgzHH8akhAk3TL6AoGk6MuK+Vnpgl1jxxhFgOo674OB3Rb7mMfnL70eneQ3fMFhe3cgC41JZq5WjLBxDogm7QntaGts7YH9mq4kq9PhodCNY2t0brnbiHehwcSj6VhQ7Q3jo/Bnygi1nR+OlnL05fKhbCt5mFMJfJ9JlxdLC1juZ73+pz7YKDYeeZ8gi5aBlteb6uk+ot0t+0NburllFuz3V+28s6PfD3q+73PB4WwjuShbCuo/Zy53cZGGYQlhPRSGl6/hJrYjXGnHnyueLaOsXiqF08w3gBHvmblYkoDRVDKJfR6wtjyuAZmSe7W+od7lmCMroqjm0h4HIdY9l7A69kzer++SJ35czsnmgsu5YyP+IxWAmh9Zkv4CWiPot+iE9sAGHemQf3ewMID25sr0rN2WVUrqJBzCOKgwx9riVm01cmXsq54MUG5S8xhLOQWN1Bu2XQwSHWQdcY6l0u8HoCAicGfD+25kw5AKHqQ3h46sJutRB++6G3z1rkHJjs73bG7swBhpfdafROD7jOgkId50ZUM5PgvQBPt9hk6woA0IGFAz9fSBkQfmn6yvSuU7fNQHFmKsYg0UZ7e5cAPJjf4ca0eV923VwnbOQ4Gtd8O8ByoYi2+P3LbZiqtTeJ4beferJYCK+fXne9lBkj+Lxk6pRQP881xp/bATjVu0jE40w/t5exTcrU2pV1WULn8bWHFlnWZBU3JcZCk23PyEKoGMIbS5bRuqeTFhjmT/vzWqQdxGB5PEqei8hA1xMLaA3zW/c8PbnGuScKCG2w73WPH3FgiJCwDkTijbBxGb1hksuoLIROr+s8t7Fm/rJXSE42Bi8QRSejqK7hOjrTRgPrnjwm9k/EIPonaEC/NsoWnWl6jhv0JE9au89eiBjC+w69ZgGgeK9b4JzWaR+iyHNlB94kKEZQimQ67IpC9qV7c+S9EgqWuOq093Jxg67UgoZSt34/XADhExfPTvfecCoShJXaLxTQxXeVdb5GIp0RZXRanJVpdexyp9pvwF7t2wAMCuxxPYNArnd+O6KabdxK3V6XnpGFUDGEr24hlPsp4hyIBQ/v1rlR18Q/nLaPAJ6PGfczj1DdKAL0Xa6cvhZ0LQNVMo5ma+7CWl9eiMuoskp73Gzli8ndEqUIbtH+zpF1EtBZ11BSlAAKseSJ1ksG468AYqy9Yn1vFsTs/ukKQuKLBQ5RInnSMXc31XNKKrNxGV2zIa/w5Q0gvMIDerWr82MnjpVTX/y4iVHs37qzwTzBjPoAUOxxhZHGHM0ySR7QunpcYTCUzobEXPATlwBY/d4L8BNRxZ0I60K1ADbC4n8ZV8CmyjkgrO9sr8wg0LVp+i7LD+ACfJHdRJ1J7gdaXHAfgc8Yi7FVMJhqMHEHlq459vWEoAHDeaRZCHEZdWCGIOLtC2LftalePtq5nkEHwV+ubsCpNKv6oF2t/bKiWcDKIFFFM6DO/Wac9Pd8ERbk3vPfv/Lk9C3bN0yvPb0UX0hWQx37MXve7e+j7WrTAoy1QozhzGTbuDIvo/Xi6220HhBKY476MQB5rMh4q3K/fb7HEF5/ZGt6ukg9uMoxX1gn8/i6hhjtMBZvxiIEjfi1BPk9rhBtsAsC7vpdAXZaV56xNNZKd0NiJgVI9OmKqfAQqHWVNOTvvUbTkEPv33b8/yk0QwnALtXsz3UdN/qcv/va9vUFveLIoaygc+tfzGnQ7jovDQT63BIOIEEP66DKdot0CJKxNpf8AZA58uzgGi6jxBCi4GCt+7qtY1CWyognsOYYi3VKvbm+8gXXRffmiHGIUs5j6Bk0OAOCDNDsFIGhdZTnP1UA4WMFEL7txgII2/7YL1kM7cp03ttdv9sCcbCWAVysK1luYm/CO0fAMOYkyum+f+d16wAj1ylH/b9bAOGLjxZAaBZCtyhmPj8/374sAF9idTnGcAQIY90sP16n8wNKZV7g3iXO02K8et1uJdRVTypzYxFgTpQt/8x5Ky8aWhURS96R16fejwu1A07vVe/HarIxFIOxtvo6yNlGa8x5K7PMPtyTTGW+oDo9vjDGWzzt/CbLaFp3B/VzAwgPamSvUr35HEJ/rScX2C2Hzrv1sBKgZiHEvShr8lVGUSq4apGlzgVW6aiVmc6Pm9A1LB6eUtgBkwsMrhECEAZxCKbjDIuyop1fKRbCP9j60PQdh9654jIYBMuz1y2ZdnZHUXmYvZ/9lkEQRNxjuxjz5wsIc/wJz3fhpbuGIlS4+1EdmzIAjzx7fvriVGIIT9+2WG1Z4MiaZ3+fu4aOstDlZXw54YnyIxAIOD1+KFxzRqDR37cfEFc5AOHrru8rxBWlqxrXpRaYdzHG+i3roQAnWlHWkffLASNz4eV5xtuSBUrqA4yh5R25j6qsJ5yp7yr/sBDecLiI4mXS3d0WIOjtz8LBuqQCwYS78gAA7IKux5JIQ4ybN0LAvG7NOggQBDBgKZR2WJ8FEG4DxBE5yljMeYUSEK7VmBLovVxGj5Yso9Bu3zckD2NM6/op/7kbqbuLjgQzjbdbB2drcJlP0W5X+M2uphU0xu7gUOvYH5FBek6NL/flpvTz8wZVbmTNwpL31PlIKqMYQgeDYbXqSj5ZA32/+Di4JZ442rxHnDc4qNT17M0RdcfH6YjPB4oz6Ablax9Sh1G8UK/X+ZnnLk1/duHM9I4bT8Z+aXve//Je3pnb4b/nsoOLWOccnDmwq/01oMfvaNcSNuGKOXIh9VdT3whAqs53P3auAkK5jGYQ6/UsgN+ob+XanAimNTVnvB7VsV+9KA99vnwUHAiOlHw+nzTZwa6uvWf3oXrsxGkhuvJx4Oa0079791EmLiydUnqWQshauIZq/+Q4SOqqSj7zGNG+dTdSlIPRxuU5tos6Kp9p1sWyi1AyZX6wyTI62rUHc20DCA9mXK9aretiCHW+oBiejpjQd3388Hn9RigQc5cQwbES0jrD8AGBKot1sRIvNMVVcAjSJyECYuSa5Jw98EiLK8yChGcWRYPsrmmVwDTiJeLx9IXzBRA+WF1GXRM8Eq59QiibLTUjTep+E5kFbBLJ8Ixb53I8BmBlnUDglrwsQMAIAITfkQBhtgrGfIXwsRRwJJhFaxEg3CoUBL3fz1Ym7nsfMrPz8Rs9v258vf/+nH//7098ZfqWQ9dPr0mAMAtKo0OL6bP3UV2V9ltuWGKGGfjR1gz+6l4qDZZ7kCckCMYZY1vPuEqdpZ2ARbLKqViOT30VOtYAACAASURBVPWxdkCopDKnCyCsc5wERF3zpAwjBQtN8hgS3s89txL2azE6LgwghKM5dgHYXUg9GUkvW8a99JqjagB/td/mpq4+nC1ZRq/1GEIshHn/5LMGK+hpYQGi6X7UBKCvzmMd5+WnAqABRCNdPKVxAYt1Ex/HOQJ9npFwds0s5Uaxg54N1+k6WUblMkqbMxjKFhKVy9lEcRt1a2Ts6WXSsjy2DjzZ1yNlidNr6linpHPglumzP6N7n352CQjnuo2G+9iv0vul8J+VogF4l2DOxyADwNGayWO2bm3lchkEjqyL73lstwBCJZXpTwNcXXE8shoC1BY0qdFmD0OgZvGA2vbGM6Hl85pvNN3j9eF9zqNQrIm+jhVr/R3UPYpR19r0cwh7u3psOO+fFS/NaojXiPN6eAhjRZuZU0/Kt9sUflkhSHtVh8cQ+lEUKuOgkEPn676snjDLkAJPMsacymX0WvUIGe2ng7y2AYQHObpXoe5sIXSNsc4i5PgJ4m88sQwJY3Qg/bFiC+T8wUhBroyh5bzCdjSFn1sVTKefXYUrF4llPI5PZV0ru7QGRvwihCFASyPEIhjZPNfuQ1ifvXhh+miJIfyOQ/fNI+3+77WNjaA7IYdJISw7MaScW1wgTMRkuKYNX/1K4Fp7ESxG7qh17BpllTJddTr4EYPJwsNK21uBTzyzOymGUBbC/YSQERCs7S3vzla4DHLXjV8Q+lUN98wk2j0HlJd7RveL5+OcdKBrQFc3ku7JQviy4jIKIMxtTWEVc5yhW0WJwxlpdjNjpv0OCH2uVIdb1jKQxWqX3ZN5D+URTnlfXa/tRZ3pR1KZt+zdM910pIj25X4F82XR+bx6wgLWfRYC/D3s17pO26pyV1IXF+cEMm2gUeLUjKPlH8ye/S0g6GdP9XUd7oguyOkZeR74h6MRNoAwsowqqUzMadDrOo9tzKDf3INeR5kG5o3SDN0Gbf4rnWu0OtZjP2A6z5HT8U4PuruorhE/qPdCN7tVLxY7Cjro+DMlhlBZRt9eAKHT57pWEyhin4yOlsiJnLJSTm3isPCRkoW9FnskPgAGjxN0y6DT5/w+zzAaY9vr7crLveIRsjdbCGkXPIlxHvEB7mWlpLuHUuZyVkCvy3fnyLq3XBfxa6h0EN0ywrIuGc17H5eF8Nj0quuXoHXksppBoT8Bv830uc5jK7hOiejA0JWnzkf9O3wFhRtxsa4s7Huk0/B5Phvw1LuwEN5Y0l+vszjqOfaRxw/OALL1L+8f3ucyUbiHLsMmWOuMIXGE9bgh4wMCiHOMoTwC2h7RX1cOxppYPZcw3hON3biM+k462O8bQHiw43vgtfuxE1slpiS7iR7dOzK3YeHS2FiZAB/Ab7cdPK8HyF4HwMQNyVOVkwVqJl5V4xPxQK5dJv6EcsQTVstk4+RokbrrghK6dHF7lP7+TAGEshD+74ffMYNOmP0I2PD+bKnR9axpzuBCZbzOYNrRPtc4Z4taHUtDDS64891BxUhjPLc7CT0AQiyEXZu+1Dq6UDFakBl3rwOFo+sOZtct9stZBl2oEiAMJrEUEkZ1y0L4ssMlhvD6eAgmOQKGmQGuizNcAp54qycJqG1rhZwpZ8FwxPB5dhWoxnsQROkra9kVLJ48QDGEb53uLlnnelIZPeuAEBCKO3QWlDLD11oNt88QLFjn69xIXRAIC0okFuDDMRU+PggFxKR5fFqmHxIePO5ZVq0NIFwCwlg7McIZGDIP8vTA/baXjYPoI3Qgnq9z2Oi4e3lQj58jyZy61p84xOAN/dwyB4mRrKu9r62VHEPoCV9Yo8QQjgCh2udAjfbisVIBaLMC1j1SAW1f6+4+Oi/etg9072hpRN4r/HYrUfSz15ABWr4HYHC6X+fR6iBe8OECCB+7sDO9/aYT8wtGyWvy87EuluEXI5dQKqVsTg7jdWRg52Pmz+3nJgof1rxVj4zLuKDKZfRbisuoAGGuN4PCkcUwA7W6Zso/qJXfJ3sqCr4ZULWOuvJOl5wXUBbF4bxP/n/23izGsuwsE90RmRkZmVWZWYNnm/ZQrvIFbrfxgKvKNh6aC4gXhECNpUbCIBASLzwwiEFCAiF4QYIHEJO6jX1BDA8tEHBx0xjjCcsWGOPmYqpcHkrI165y2a7KoTIjMiMj7vrWv769vv2df5+Ickekcec5paw4Z++1117jv/7vH9uLeN/Plb7H+mjSRQUWJkw7cQ5RRqUd+KrrV88Irn8X/HKNuOWKzistVgL4djcCDTBGAb5GFvX8hFx/PAvGfjYgSOESLUd0LYG27K18CHVIjvT7ChAe6fAefeVqMnqsSIwVuEHykkUZJUNADSFMRJXp1NxWlDCryagHkIkNH/kIyUSo+ShHgaai+E3NoDscVyLdDmvVJqqpKAn5RdEQumlTJ+DTFBQkTpCEkYiSWY539zmrhLC8OJM+k+cF801mw2fbQ6KTuKu0jhpCZQDYvwlTUAFol0Tj3kPFq/zR4fzw+rNPq6/mfQeYbFeWMoIS5rkDo86VHWRjffIiB31kjFSbxroyzai2nUwSD+qsX6jrHQ0QfvU5MpdTp3+dOwVhc9oF1AlGQNucMRG85n3juGTP6D2ugy6N7itHmVZeVS20rp2/2QlACJNR9kkZIV+PvJf99XlWZt41op2Bgr9lmNnhrwp1aDYEf0EADHwyjWFfS6ElrO0o/1SghHyE6hcDE6Kb3WSUGkLXDqqfoAaZIc1e0I5V7WJEFa3Ap1mEhJVDpCLyiIHU8qqp6CLtE4BZ1kdlIkshjyyqgInrzDWDuA5aCg3hPzcNYaV37WHdE7iWWZY4w6znhQpBUJcLDEPQEdojtxZRWos2ZXRcx0YDyNBfS0GkA8haZ5kD9OsTF/eGxwogfPUdHRDWcZAXTIFkv+EA0MGXz99+v10jGOamU2CXlXGtYsxjUBQHoN4GmozeUwBhVg/r2k9jyHozwV60I0pooJkFIaM0Ti08tG59RmMAqOCyvqfyIlNrHX8fnnEfQoy5gyzyIq4l1LGs72trGde535b5OfJcmp6N08jTjDwaY9iFQQCL9COG+al/mKbGo0+D/uDetZKHcGUyut+OPJz7K0B4OOP4ZavFfQhhIqo5pyAZxodgTbUOHlhAAwXwOfqdAGgyhxUS05OBoMYwCwihiY0ZXtjNlaaHWfwCoYPfCX6BgPCA16ADIJjnd3aGfxz+vvoQatCCWkcCVlwiyXfp5LkpDv0LnNGoGpNmnpeBUa2bDAXfo9LgkL5NwRzvV+ZE+uGg6eMFECKozBvO5iaj2q8sZQTvux+EMzUZWMzGWPuHOhEJ9EpJ9MtPP4BLlNlyj7+zsNxsg0pieY3j8FePh8noV5/rLJxr+JRZzDZppjms+4VMQfvrIJXtQthxfhTAjkEL5KU+jg4MUVQlv5TMeru5JgkIoSGcA5nKqE3Xw1Rj4H6MFBDp3PkYMNw4ymjIcX1PSJnDxDDSU0QPKeyhqSg0SgSPzG9HM0UNdhWaylVQGaadwNggyuioCaj+37EfYvwimAx/j3u03PNgMtQSqnmoAkhoE1GGQFEFiwr6411hGoZ5pdZY14hqCdkmBUbeXoC28zMmo3Om75n/Y+ztLiTEHlOG2LVg3WJlapJd+1c2hNJy9oP1ZXTUI4qqiek4N0LzCQZxzwHhHBBEWQYIw/e5YC3qL8h+Oq3h7wys+TUEC0Ni94M8M875Ep9FbQvepSajav5a6Un551BjTmtIC4isr6otdGCI8q4ZVEuQDBjGeos3cX3j91w93iatExrCV6zfNZxWkyN5QDV6bCvXu5+DGngp1sjieVCvN/0p+SvSmehDdMy1sToX1BZqqgo9R0iD1FqEXWL9K0A4tysP//oKEB7+mN7QGhUQbqydqgwAfQfnUlAQ7AUhRfS+IKWqGeS9jLnQIAXY/NulBoBEJwwMQ941B3FYKCjUQDIk6KMvXju4eV3NjMBQIlExEtO/tiSm96if3dxpGoGOBCz6101FOWnOXEwBWQ/prJOcAUINT67aRD7Hw8EPBjIYIJqMnKcHP6/juY81DeEbioaQ7dRw5NFHhUjxdppW8d0EWNo2B1a850xOJ96LJrXet2UbI5NS7reR6EP4fxRAiD6oRlbNdfSQV8lrHILQkEDiHH85NtuNscnGQZkABXn6nUEE0AcegPx+qlh4brWE95poXvvLuhSYufkPTEZfXjSEmodwnMMyIASJDCoAabIH0qhrpJTVuaLPoIPyundkQPgVhz01QChDibAzaQB8anJI7RP7yDymNFnkvvdUOdAQ3uxRRgEIh+oi0KkD/b37Pg56pfSpaspakBmU08AyQS8iRRDBuVpp8Husg5j9k+tFAFm+cy2oC0Ctv2yokZk023RqDGmCxp4gOBfXmjKkTzYNIYLKKH1V2sS+apTRDBg6HcvcCEZNddtLPBtIo+mf67QRe4S0OxPoobwGMMuAHWkSgB3356eKyejnrm0XDeFmfWWn+R0MZf1AWdUQ7ufvh/KqQcxMSHFfz3vNGTiuP0tOz+tsD3/DKqMLazuB0XairAJCHT/VdqEe1Oc5DDGO2mYVvGlOPz0rYhymPEKmNazmrhjj1iE1BYXA8HSRyV/eWTRNHUGaDAzp8Lj+W4PQXmgIHRCyfNXyNwGF7h363yJtha95nj1Y11nQM01HVOdstPQI81HNG6pRp1FWIwrHfPfIv0ovot4QHtU1DX60nBN0IwAtenL3yk1L73XP3IjvK0B4I0b5CN/hJqMAg+uVwIZBjwaT0WuUumvuKc0tiCaD3YBmsG7wqmOMBNMa1pyBZCoRqhs6Pu5/Qn9BagnISDDNBLQNzF1DRqESCPE1Qf0wT6NWDVFG/2n9wzWoTGdECpNSmrwdkewX/PdA4BkwYHqgdVMR5VvcMdunUjWjo7kspM6lExp8htpEEsDo29QckweKEm7XJpIhx/WHLu4Mj+xdGF539o4gpuXaslyCmemrAlDUgYN289huOcAWa9J31/lexJqT5OgoQzDsmjgdRwWoPIB9nFmXzg3TTnxN0xBWJqwUDHPg/ICeAJrWfm0bvt95suT72opk9x2Y9RZlpjVaTsGo9sOBJOefEmNdE2rGxjp6+Wj4O671xPS6lnTc+ayalPrYKlMxgjCxsaXJqr+D9dBsSbX5vOcaQq5/zs/VknKCpkG13Y0xqFL8Rm+0vQEir920iYpJ7wEIEVRGfcbhC56lBqLFyLiOquYwUgWF2wBmuPt/a4J6MGQ1wE/T7LIONRsd11ilQQpvpuaXYSkR9yvdbw+SeeyWIIu0BfvhUiGi/+/w8ZqYXjV51HYELYtaXZDCveWMM7UqFCbR7JHnWCYgnPawmZM2esN1DU0gk5a7j6HuZ68LaW/0o0FjoCEEILy/AEI9K+ZAoO/zLIIo2nZyfXd4cgdm5903zwFeBijpZzenrXOBkP4mQPM2Zr/ZbpqMwoeQwlzSukVDxF6TA0veIR9w58md4bHtItBu5wZpFP6Olh521iEKKeeadJ1rbM70UutHWQV/mdZQxwLk+N0CCLmOJ2Ug7JH9l57PIiCi4M/PXAoQ9SzQs58WTeqrGH2PZPVdgNDTy4RWNgJLUTBJoRPGD+0mjdG0RLQIee/W7wznz58fzp49e5AlsyrzJY7AChB+iQP3b+WxLA8hUk2AUQAwZML58RDC4d58cqgRpIawbupyXwPK4JpGGw1iSeYBTEUARgBD+gOGv0Y/pmgbXolgMyMicaDkyP2Poi0MGd5Hm1G6cPjDp8Q1hAxGQCZDNR+ed62PyaLvoBJA/T4xjS2UTFNNkInXeut4yalPAJZp2lBslPrKMxlQxLWPNUD4hnN3jIfLXMJi9xXke1g3zzsEdcFhvVXyBPKTHSy4pwdJJkllW9h/wRiTKIFMrqz3dX/p8/r9ned7lNE5zWVdc01yir5tz3AO2bs19Djq0YPeD/1MczbVui0GMFANnEq5te+s1wO84LoHlVGAiTrU70lBX+zD/pm2vWuUqF3SgAFco1MAHKunMtdlgjQEOd7DvUgNIcCERxzVfKXevsr8VBaf71mZjBIQqpCOaYX0L4WA6iNe925jDD1VEOdBA/2gfI/+HHQB/6+MsIB25h5UwR79wZV53CjuANGG+CwCrG6JoQyuRhlVekbao5puCjFGa5PW3zk6oQCTNCbTACotVoae48H+LKPj3JvcgRMBoFh0uEby4w0QQkOofXVAOJc6IksbgTZsFFPPK0UA6J9M67dQqF1YBsj0GR1n3ecKFhVgBvALoIrE9Awq4+3AfZxb1A7iPvMf1rWWBKyZo4Gse05bSCBc2y8gcu4McK2fr33VMNbv5Z8Kb1nve7Y+OXzdsRcMp8rCmFvHTsvV1DPeuyjF1WeqsL0MjObH7f3sbh66dvUs5FkRmtp4l1uOaT5aTz0R5RmlOs4iWISsAOHczjvc6ytAeLjjecNrUw3hibUwJWEwAZUMU1OoCeRR1gPM0JyTZqVOQLBBaWbk/oAqWQ5ThTg+YR8OgKimo2AI4V9CR+SINBUfEpBR61fbGR9lEM43DSFMRikd1oPSJ0MJsx5/qqGqY1Ka7YCQ9WfjwfcQEPJwm/MlUQbINYBO6JUBcaYDgPAze08M//FcBJWJ+ZwSfPatjmu7pe/UQ0/fPQEzckDpmILebxR5AMpCGt61UNFqb4uH8p7TaC7TJur7AQifW3wImZheAZZrPvHcZvFb3C5AVyW6rC8DhKoh9LXEOvQwZJkO4vpT9aAtD00O7PLbGVt9D31dskMchzZ9CG/DJLRPZVDafLkpVV0DdV6mJmZqPrWgaRxBWPeBcaGIS4ohAQ5GLsAhmQSMGfY9wYgGlKr5DE0LFWuot5UWDCsfwnMD8xBW5qlq+aoIcPQfV19xjCOtRdQfk9Yh9B0EjfZE0Z6AGvc9j+yUnpHmR7AhzSfLNar+3u7Px7XF4BhBI2INwGT0o2sPD/cdvyusRNrCVS1aZSDLJuA11kfTOaWBvqepdVKrhroGy7tGAIw9W34omFXzRdY5AWztedYV86Emn1OTda2DZfGXgPC1d8Y5j0+maXNAeJBUEnMRPn2MNor1yPVCQ6+1PH1637WvvKdniZ9vGRDEc6RJek4DECIx/d2Wh9DbyN/u09g1VyLslIdnBZ9ojxyrYeIac1bb2kChA0IVtnIMMp9z1KFxBJz3wH2syfduByA8W6KMco067cZ+CsFMdIzrUOkB6uce1DJjWZxTbVy64K8LCvEOVK/8CPbAtg2gg8K+HuJ5CgVRj5qMkq8k7QEgfPeVt6w0hHML/RCvrwDhIQ7ml6MqAkJEndsTrVzNQ1U0hQgyw48yBWAgyEzgPn8HMQ4GQ0OVk6AgsTFyFo6bGxq/UhYBBzQPoZuMVsLT7MOhIYgDUbVQYU4A5vFkkyCHueaU8NS2lusgSgCEmpi+glWAOfShEcTOfEaLVVOikisP1Y+yBFNqMqdzrL4pUynvop9era897MBF78HUiG2nH4oCWZZFHQ9cCED4f527c/SBG+faxO7O6GsbsnWbaf+8XD+U+suY16/Od7s8xxD0uaAkMUw0R+m6gFtPE4H65wBh1p/skJ3rj17XQx/XfT1m5p5cZ6yHvMQy8FjrNuFtFuiF40NAeP/6K4rEuAFwEWQ4KCSzq21QBm6eGcolyhwHjgn7CtPvMP8JUKj+hDQtVa0SpcEKCKkRZN7BOp7lH80ct1eJ6Wsewo21k3XYg153Oh/XwnrDTSd9TDlvZLyVpilwZzlae3DH07zLTUVRDoHByBQqMKQggEHCPCAYaYcL8GAy+s/Dp4Z7j93V8rd2TSL2g5qOBp2c+lAqDdS4HOpC4L5pU7AZo8C1Pye8Aw1XZjnaMgWWSp5pJkpBWD93pqbvn7g4DI9e2xoICAkGn0oyefcf9PQN6s+X0dFxHbQvfp76M8vobnYOZu/k2lwGCKkhdE2lgkBPdp8FnUnBGPZTO5dc4BZ7LXctIFDkWiAYpHDQAWPWdxVevmv748PL11800RC6EJ1AMNbporWHWgpUc8wyYJpfua5VCDwEFNY+av/Lc/BJpDUW7vfgNxFRVK1KwKvRImzUIJYyuAb6wYCDumf0XLi6u73SEC7bjId4bwUID3EwvxxVaR7CSDtRpLxNvnN17VqVGmvk0fGQhwZPjHVoNsr7iFzHoDTKWGgocx661D4CEFY/ETmIoQVUlhIbncFmVDrI4DI0O6OPCZ8F8aB2EH9BWDIfQp0DB1K455pB2stnZo3KDCjhZL/5rjCRbUw5D0qMQ6P4Ki12abJKitlelUCzvDIQqA/MwL+cv14A4YWiIbx9svRc46k3tS0jaG4apaxcPVgWMUEtqgFZ/NCYA6B8hwMQLT8HCGP+ojHoI30IqSHM9p8zbXPAZ5xL0a6xj95mHtIxD4iEu/hmvEcPUZTIgg/UPglwZjlfx3UeWt/JlPx1SUz/qpJ4AhpCf9cyQKj7Tt+jUeo4TpQG+7qlRDvahb5GYBkVssT4xT1GGeWhrwe+pjVgHylgIlMPk1F+VkFlzg2ZD2HmzwzzUQj2HIRrLkKfM5r7awRY1xQyz6DSc9X2xV7tWmIHfe4v6L8nGrY28Zp2Qs0pde3T55vAlm1SOoDyDgiL0qUG1sBf3Ttqusf1l9Fw3qsaTRPG8ac+l9E4vmvO5xCA8LHiQ/jaO0MQkPn1zWn/dZ/P5Qkc6ZyRMwUdTgt1nup+b9oyunY4fVsmiJwDiOzT+4qG8JknNkveWWug/XTg56VVG/pUQSH6RfCjmkI/V1TwNuF/2g+nnz6u/K0+jNAQvuzYC4dby+KlEANrxt0XsjF2k3E9T+paarxgpffSYBWWcH7xV4M2cc7jfpwBTDtRr5V/jEhNYZAmpycN4Ws1DQXKrwDh8vV+mHdXgPAwR/PLUJcHlRkPJtEQMnjAtbWdCg4VNJ5okmWaG1FrSECoQQs0xQQYNkqbu4lnNzlSH0IPSa6R6DT5vEuRSWDiUOmyax5CiDL6DyXK6OuP3bugjSLxUjNOXPOAMm6eKErLiZ+GTq0GsFG/QWphtKwzByjvgMLL8zClJNoZEEqUP3rheg0qA0DoUTKVeGcHRJVSCpBR6bQyRNmS1jEKSWKwPHoougbJeKR0p8Dnowcq6GZUampa10IDB9AQPmft7HDP2UitMpdag+tlTuvpzKIDYH+/Sn7RZoRad8zMsRhBd+uxSqD9IM/MgDhQbvKD63M+hDq4WqcKQ7gXMuDe2xw+IyhDLTmeY1/JHGn48Xq/vVQjy+E6mfMAjhGgarsGlel0o64jlG0WBwQ5BIj4u8pDGInpN0tU6Tov5T98mBqIfoP0Jaxjb8DQhQIa2bXSMdOuoY65QDJxL6JO1vkr85vRdTKJkZOMZeOvugLEGgvTN64H/L0sQWWcJnKN6rPUSNNclM+49kNNRZW2oa6od6qp454Z66vjNfX/xm9Gm9R7E1DYdpKC2zaE9Q9pJunTQxc6IMy0XQdJI0EA5H5dpA0eqbICXMxpndepO4W21b+T/us5oGVwHT7das3Dd2X+a7gHQAiT0bvEZLTOUWsfv/M9+43HHDBW+Z7Tb8wfBAf8YC3B11zPEA0Qk5mC6hlQ13cD0azTz1H+hg/hf1h/wYDE9HV9CBjUOinwUJcDDbbkgiO1ImAgPAeF3Auoe4wgCrPZ1nY937HvsNfJz7Ffo0+hCQhpLqp5CHmm4GzYLnkIVyajy3bb4d1bAcLDG8svS03uQwgNHk09R8Io2sBp8viIIjpqHtqRDobiajENBSiMg2kxfDm0gXiOGkFKfIJwhDkAPjQPxXcykvQtqYEyGjHX6HNBJEOrEO9f/KCuKw0QepRRJc40iyNBq39bdbXtjaiOJlNNwrss/2Dmj0IiTGCl2kXco/mn9mWUEicdJBOC5/x2HJx7xWS0AMLdi8MbbrttHCC8XxkVHuIxplPpt46qm2S69g/+GFcL36nAk2DQDzC+K9PO8ZqPQ4wf/M0CXGV+Odpe9P8d578wPG/tthEQ8n4WWKeuv1KxaoKpSWV7x+eNWdXDMfMrHKW4bYwdZLF+1RBqGQoI2Ea2g0ybMij9UI0oo9QQeh9YF5lNtrFqHyqIj48ye6rpdr9AndMM1GrYcT5btTVNYqzRRhl2HMMMkyE1IYRWCqCP5u3K7NGHcG9vZxVltEUZ7Wu+MYmNVvc1FKajGk2aPoNcA11gV/YfgBjsSkaLh9gM6u9T16tYenAd8Z2MIkirDwrzdE0hGBfMzphiYk6jp3T5YrG5o8moC+7cggNtUT8pB5zKNLP9qBPM/mazvlVAp0IQpUNz9NyvO7hjHZov0Glj1yJG6YdgMno1NISZFszzAs5F11S6okIiBWf0v1MNoNL5Ucimg1G+a78zMMgxxWMOCK2qoE8AjQ2IUkN4t2gISR/0b6VVrbKpRZCL7Rbf6KkpFAQryOVZqjXo2cB++vMuKOTz2rIMEGIc3nVlERBmAj/OrwNr7r8MHCqfgL2UWXrQgiQLcMa5CjAcvaGmkL7kGkAQ9xeEqE1IqNYjKLfSEGY742iurQDh0YzrDauVgPBrT/2n4ttXoo/Vo38aBTTzI9HgAnUzN1KujAM7EZpAgMfwO2QZtVGPdBTxXgYn2FgD2OwfPotDQyXIOlg1mEBtz1QrOLZFThxGGf3G4/dOJJgoS+JFQlUJVAUdUdPcoUhGg6ak8EvJAjSgjkw7SALt5j94rQI1NSf1xYKyehCmTIcAwjfe3gEh3q+BSua0Y3ynakhD4hgO8/x4IBgdT5V+cnxdG+naN2d69JDNxkHnHczTtRb9FOCRGsIXnwnBhbZt/G3HjjOS/k79rQezjksGCtGP7kexaAY6JwX2/mteQtficE1zP7/j6t8P9669fDhTJMYO/Jf1K6TaU9M2Z5ApBeYYkAnQMeE7AtCGyage/riPa5rTbmoeCkB4fQw4xfqYzIXqBQAAIABJREFUAL2vwQAg+FS/l1Vi+tFkFKb+jBZd13+j//E9KEf4GCLfbKfduK6J6LmmNPiXSuz7foqE9nHKTD+ZTzjXQzcJjedo9k/BF2keaqTALfoQH+xbAEKknbgPeQjLDdV0jGtF1jUD01DbmJm/gYYzRRDfozSMGkIV4MxpBmt726Bof6JPi77RpK0EhTQV1XFV09YHRUMYbc0BjptBxhqYuksoaHAtIPvBve7Ajm/l3CntyeZBVwnL8lmOjfekClDLTfWJe/8Xw2QUgNDBqa4V9i1LnaFtcfrKezp+Xes9Xets7zhGVcjWZ07Hro5/ue+gLxOk6rjgOT1ToCGkyahbNrk20IE86XeMd8RgyM5qtAnvpOAQ5f2scGEh+YCoU8egm49qgDFVGFC4pPSE1xjgChYh79t66yqozHQJHsmvFSA8kmG9cZW6ySgDyWhyek0uryCOGkCklXAfEwaZYV4rEpIK+NoxnUWsQzkGl1HiQBBJ3xOUS4MJ1IMuiAqZAfUvGcFuoRpqMjoScyG7LgnTg4/1q/aFdSgxnEvXQGbDZ5rvIF1UQDRleuKA2A8Y1nYKk6HvY9oJ+hBmgVfqYVQOgIyRZ73uz0CSnh38bI8fZn6QsZ3K8Cn4cWYS5Xlf+6ttQBmVML/7wueLyehtJepcB4SxTqcmXmxzFvV0Wd5Gjp2OeXbQ97XXGRVnppwZyBgK1V76utRDmHXTZPTMceQQi1Ysmrt2QYibfVEjGMxKBCDI/rJ/KgDgGNO8mTkI2W6ajcY7A24okKCZUMxpPBVAIMxIFczw++gbXYLK/N3W792UDALpPaKMIg8h/bxp8k9AiOBfCDTjQWI0Kb0GmMH408wf46+RR+s+aMyemnL53kQ5CvqoDQhzTAT7CqsR1Qa7n5muP2Voo20dEL5y/Z7q66efKWDrwWb6uuqapujPVCDimrJKM/Bee08mnGM7aAUS78zpWa23gp1uEl/Lt4r1vGA9vEaT0Vc3H8LpCExNJ3lvovkpfeYZ5ADF61KwRyGjgh83re2aqi5QdNDC326l4e/mfOOvnhnv/+KVCghffGZqou/0XteCjyfnVQGyW0toezhOOh68TwsZBlLT97LMMuuRZWdJtSYBMGvrD4JCRhm9pUQtIlimwCBy78aOdEEJ3kPfWq6HVLCXyBcIBr18tQ5rIFetudhv+AwSBMb67tYiaiEyORcTDSHOBggAV2knsl1y+NdWgPDwx/SG1kgG4fTGXWXTQSN3verq+PepNGa9poYI8ujfp0QSZl52UiYv6okk4ibahw8SS9eQNmhvYT707+LBlL+neiGVZ7d2zg+nT/S0C0+lv1p2vbRlt9QXfZ9+ZzkGmw6i29vFoz179xqC6pQxxd9lH+hfC+kbi+D3fp/t3UtFY3Z5OHP8WWlR9cLbr67/lftst/Yhaz/KHaRfB23LpZ3PFUaz6MWPnTvQIz1YeMzF3LyFXDOfY95b9kKdx2XlsC4O8pl756Wrjw6bx8+V6Io9DD3WMNYvP7qmcY2/l/Xf9wDr0vHy7/v1A3v1oB8d/+z79d1rw+Wrn7ipAeHTTn99mecuCCE90rWi13zvOW12+uNzxX2b7fW6Xoxeef3Z3M/RWa5TXce8tlV8pk+vWxCtRouzfXvQNbesnPrRz5XDmTv3Wd/b/6yMMYxyHriN9W6tPVk06lvDmeHOw+jWRJgw0otyVdux37hQIPFUG0QBxkGeY9lLwxdKZN3Tw+beLZ2+iZvLQeo6zDL79X13rdP3OX4M1+c+ug7w/cndLxS/4bPF1JbRhRuvVi238rNk6ok/XYcZbUVblM/xtun5omcJy83Rn6cy7n5+7hYXgccuf/CmpPdPZdwOo+wKEB7GKH4Z6yAgPLZ+x76g48vYzNWrVyOwGoHVCBzKCABIX9/94k3JIJDenzn5klHAdiiDuqpkNQKrEViNwL/BEYAw8eL2gzclvb/R07EChDd6xA/5fWQQnnn61cWM5lTVAECy6hosSn7wt5uQhiYR0iVKksLkKKSduHdi7+SwvXalXCnGo3uRigKSL0g98ZeSL0pBIz1yl0RRyqXS6vBILP81yanWx3dM2xkGNi692l7bGj57/YHhBetf17wcQ1I2J9FdT5Lp+nRkbY/3RpoONa3ls93/Mt6vZdSnJ/o0NZZ0Z3iazanJnL6HvlS49sjwxeHxtc8NX7v31QuriuXUJ5TfaeKxuR7zvLVb1oDZGrrf5FNdtuqjGf2Oj/uyzF3jmKv/q7fhwfUHhrPD04Zn7z5tYu64MKfNRikzbeGcZPPKerKx9Hdw/HqApijB+XWfXdzzvqmUt+YRTaTH6kv34N4H69rf3NusdXnuuTmpsZqT4zv2Bf4ujJvtFy3Duq+XVh4rBobX1q5GfxtdYF36m89wL9fnSvgq7rmdUleM2VRT4v2AhcHDl//ypmQQSO9fdPpbq3Y89okaIIbhOP7D3JDuKl3jnOjfhfVcaDtoMZ7nHLtGHdeDvvX3T99D0/9Ol5WOLiy4OvfxDNc5XBdY55Vhe/j/1j85vGj3JSmNd/NY/Z2ZIOuepIls3/N9/5IW0QWCdMRpeWYGP3Wb6D3WCIyuP/ScjnzqkZ0nhwvrF4eXrIdFSGLhNwnGRppEM93NZn+4peGl61jn5qbqY6dRI5WW6/W572w/7+9XTteFtuHje58dzu6eHZ517Jb0HBlpjvmxVZoiJsss536MYzvrnoqPmqzq+eGRlbWPsX7nPzSZ7Gutz6TPWbQhKOZD5bz7d7t31TzQC/7lI38ULadrj55dGlCQ50WmlV4wOW08FXkb7ZnyI4hknNVHngx/4dI0px1GL3dqJPygOzwnYDL60Sv/7aak90uW0ZHcWgHCIxnWG1ep5iFcExMiByIkAJU41mM3AA4PNQQn0MAyiExHwqKHOAlNtWEvWxZbN/XDa/5AsAHH8xpttEew6+NEnxONBjf6ozTCTIJMYs3E9K8/fl+tSIMR0C+Kke7QRvhhMZQ536y+EBqFkvc1r5VHfdNZ1oiV0Zb4uD/cnM8gfTv4F+RQfTDUP5DXGWX0G++4bZryIeMUpLFa11yAFF/BB/VB5HPeBPcxdOaJ/hcMrLDU16G8BOXeeeGR4bnFfOruM+WAnPGz1DnwPrn/oPvFsLz7hmRRR7VM9ZeTAVB/QV5H8mp8ENVQfUmyfjMq6AguW4V/dfXvhq8vQWVuOzFNQI561d+nrkcZcAZMYv/Uh0Yj07GOhf4LK8oABIwu50mJ8Q71J8TvHu0uWkCmS8OP93UUvo3qc4ggA++/SYMMkN4jD+HGWjcV1rWtQcVA65kuCGU0n+PJZlrMoD99vce5oPnAcI85ZbmUMCf0CSfdJo11P3Ctu9O6BhhbhXh2oyw2j4LLSLkeZZS0GXXTp1vXKoN+6Tqu/SgbScPrk3YTJ0XAmsUPaZP6Ck7HPei90n68WxPP475GRPVzAvUpQNTAMR+7sFajjH7D0zYmjcuCyFQa0Ep5/+u9RkOcTmtZtG0Snbg9p355Wd1af+1P62RG2zz4SV8nvY18nj6EdxUfwjkwpwOj7VQA5QCcwWcY3Mf5mSxXId/D/msKIdxj+iSOBfvJ8fbyTFqvfrlaBt8ZVObcRo8J4GcD148GDeIckCfCb42vwL3g88TrOqY8+zTYT/Q3goohajDPAo4j+DjmIdR1yTmZ+Mc3P0LQnkpbym/Q+1XaiYQgHcGlFSA8gkG9kVWSQfj3p76rSI4iLxU1DwwwE5sw15xVsFaOIJUkjUS5Xu9hyxnUIZ4JIEgpq2q6qOUKYhgkDoCQHzIPAGfKjJKweIhwTT+hB/6TSDsx/N0AQMi66GytB41GHPVgBASB7nxOR+xsLjXyWyWu5XRyphm/Cf48eIK/S1MskFnqcxDjxwhmCmIICD3KKJ/V/IDZIY5yKgHVvuqBOwcMWJ51jG0uD3vQgkziqkyXt0PL1zEu/9gHBjd5z8XPDc8ebq+AEB+d8wxw+lxmgR08Sqw+owIDDaIQ67y/n4DQ26sHPNvKnFYZY0bmMeY/GMWIBBsHMKKMEhB6bqhxbkpZPIP3aIRdBk5ifSjPax5IwCPUqWaT/caeZ2AZRpujAEeZgZ0WWARlXPNKENLXVciISTkIDFeA8NzAoDKk9wwW4xGl674weOMMMcZY8xCCEWOEUTwP5gwf0nClz55OJHIMNqDXJhJPgyn0PVmFdXZRA3rVfS/3nyxc8z8NnxruPXZX8ZtdhGwZ8MA17S8jjXKNMWiHgh89I0jHPP0P30U6T8GI0ouIlNl3dhY4hnQWKRj40eiY+p1pJwgIl0UTVVCzjH6rsMppKOmaB5Vx2jJHM3U++Iyfkwe5zjIEhC+8dXHd1LVS/uk5koFtnZ+Rrph1hCauR3kf5yxCswM8FxqOY8k9YYBcgaWfi1yD77ny8PCK488fTgkDou/xwGIUgruwROdAwVjGI/DMUyENx/BqaRj2NWlOj4iKSPM98E/srWkU6joe41jEYPgZSLoDer8KKqMr9+i+rwDh0Y3tDalZNYR7zQQQJmDUAnYTtkVAyCOaSeipJUR0OpirjZFBWz7CemAkzIUyFAxbziTGZAqD4SBjHxHnKpPQqBi+g1mkNGljvR/j/blpBK3zOzvDR9b+IU1M79qUylyX+kNbOWWwg+jHdCkDgmfcDAnAkwcCGXSNBqaTTqCnBL4yKLXe/sl+k9HWnHp4AlJMtvXBi7vFZPbC4IAwS6TOtyl4WyYd1n7wQFpkwToRnwNgmWaRgGnfXIMNWPKwwLxhrAii3nWxawizzcZx1fUTaziM39Jn2rGkGl/VtrkWMQOGfrg5ONYx0Xv+HfVQmzcBRm0MoCFE2omzRUPY5zeivzm/rLmlqGFWDbR+n9MSRnsWo5Hi+rTtXVKMPa2mYsoEcP1REwUaAYkwrQrwfaItacKurZKo+ANbb7spTYg0yiiCS8BMK9JKxBoA3YZJGYV3XBeM/KxAgfkHqemDphAfAsK6V9qCdzNJWl7UuW8vCXoY0QTxF789qijXCv723LNRR2jTprtSQdTFsvEBCO87fte4vpXZ5ZPUhNBiROv1faRCHk/74ACT9buG0IEHf1MzyOeUpqCMMuYErppfEM8REOIvNYTIQ9jrxP7qg8ZxdDCmtD6jDzrqet/pdyb4HNtS6UOvyYWtDky9/7o2Yu3FOck6P/D4leHpx5GYPgeE2gc/W1yT6a4aOp74rjkcHaBT++c8hoJr9p1ldRxrBFHMbevbFKBNzVXZLjyDPISvOP7C4ZaySTLhR39nPKVa0WzsPXI126Hz5u3ufElPCUL3EtbHerrWMKg4I49SeMnyVBoEvY+1jH1NerTSEOrKPtrvK0B4tON75LV72olKVMvhcXwvQo67n1JI2YtvYGEhgpGIzcp8VrTvVkDJZzTBcebjpnmtUCdBoeaYUQaBBMvNOFWizNQUNEdAvewX8xC+dv1VI3PR82n1Q1J9HvwgUKmaMh96KCpjMUqG0Y4EU6hZUbR1qrlSRt01g1wszswrKOR3vPuBC1NAGFI8YQ5Ea6ULcQ4ULjuwlaFgu/WwyKTBeKc+x5YRENZDq13M4JkelKwH5dh+1RAq+FNtnY8lngejptpTbUcm0a/9EIGBSk3rfitj7iBzBJG4r0xSmwhemwOLTK+hDBEeJXNEDaECQvX7RL00qVOXIQI/7LHMdI6SYDLRSDK+zDeL4cd9rrn2VVuIdwIsACTy8OfBT9PD6pVcgMmoEa0CnPWar5DA4+oKEA6v2PzuEnGw+Iw3yw/XvzGlBE1EPeegji/mguAw9kJPEUGQrv5T1cvctIB4jjlkY7+ElgAmZLrGaS3Bfam5Aklnxzx/ZQ0rfd4qFX1k75PD1xcNIbV4Spvn6Cevq1bcwQrXq9IZpQusg/Rc6YoCQv2utCRLX6FnyRSoTkV1BHyqIZzTDirtm6P5bqlQaZi8ckJ3QUfKoekgcg4oOmDUNmT3FJBnZ4jed0DIs8Dnjr/13d6Oca3IDc/ruJ+mMGh//3Cdj7S/rV+eyzpmbnKpdJ7lNMUSrv1NA4RnmjrZ5yD2XbRHBQMOhjmXLtyrz4P+loe75jxyFmq95KfYB1qQTMFjNIS0hLSfoxXtizQ0HVhPuVVanwEQ/s2V/3pTCgDn1vBRXV8BwqMa2RtUr2sIFQjSZFTtxdEsSJA19yA1gpQyM4gDAGCWl4x5CKt5ZmP5yYDQXNSDmSjDTyKgBJXSZU9YD58SfK4VauPM/aWdYjK69qGqIQziQ01FECNKsdXEw82lYHqE56oJWyOm9XcjispoLQK1mGQ3BSLTMO3zVGvDMlwmC2XNgIKgQxkkaAgfvX5p+I93nB3ggzCnGZwDgCNxnvIfE+kjy7AOrSu7V8ej/LMqU3Mer2vuGd9KrP+9zWT0xcVkFJqFcyd2hyeuRZJ2frgmMuCZSVkVLCr41jYoIFyW+xHPaGLhvj6jNvqN8OCfA44EaWBoqTHEmqaGMEtMr2u1MiqNsaOmMPZHr081hKrx0b3DPaJ+tZVZkMFR0I/vAJTjOmlgsFoBVKA59R+kkAngj+ahul+rCRRWeQlDfrMmKlYfwvU16P0QAuxYFfJRYMfgEUxGT79vzEOls01QyDGuIcjKnKi/dw0zVuZITf0r09qk+LhPEKk0W3OPESCqwC8EN7FK5gAR159q4rCGaTL66hN31ee1HtV2qCuCajRcO6h7mgIlpRv8Tlqt+xM+wHNAMMY51r3S7bl3LAopp1q/2temIXys+BC+pvgQEhA6IOGYas5Q7Se/O8CrbZXzT39zruaAhddJeuMCUz8/M0CDuoRkTM5WNRnF2jhT6P2FRu8piPW+Ko3J5la1aMGDKL2KGXagGG3sJ3a3eog3oIYJLS8XXAC5YGLansEYuT8h6lQN4W3Nh5At1XnBd9atGkw/D/RcdN5KFQkKTvW8UMBJYElgiPrUp7jmli15CUkHRs1gm5DKR7ZJdx4ARSAAXPkQZrv48K+tAOHhj+kNrVF9CE8UqEftoDaC/iXbJRIgACOBHsoQ3BEM1oOg/hdmSIueH1GzR2UDMCQoZIJjMBj4TnNRtolATQMPUCtYfYzQLkiOGs2l5M2lyzAZ/cfh76sPoUqa3QeRh5/7p9R+tJe4XxTudRARmlatt/sf9JHWA99NVnDPQYkS6cx8Us1D8RY9YEE/1YdQTVMUeGTgjMwC++gHPaWVJM7K5Nf1AXDR+jNKQ9G+8i8Dn/48R2wOOPL+sn7gWZiMPqcFlalruVzkXGd9mgO12mYCQtcUKgh0k0tK0CkJVm0h166DPf3NMhxbbec4vnJSUjLrgFCDbGigAB8TZbiqubcAw9j//aOMIw9y7jWU0n2jPiSUDFdmoUmBnRHA8/RBU6ChCczdJ45BBm72oDKemH4/es0ZVbpNQAjtLP03g86FD2EP/hWnQIDGKR0c92r7otEzK31pz6E+0s9Ru6hSsFZWQRu1FNwDBIQwGY39HhVAGMQ9we/oBxhQ1Ygrzc7AidJnbDf6DXrZ2q/W9sz/ey5YFZ5RGrUMCKqpKDVVD5xfG75wbREQOrhzMEh6nvVjmfBspEdNmMS51vc5GGEZ1exRGMXn2B4hMxUEqrCzzm/TTHK8AQjVZHQ/AKvni4L6ublnUJlK1wrgy4DgtM2xCJxe1udxvdHsrl3rliQKCJX+c8z9XEV51xBqW/hctD3ucO3Tb5Z7i2BunCsKL8pzFNio5YfWqfsT19XfnM/w3O7j0H3B1VxU26N9YRRW+pgjqvRKQ+izfTS/V4DwaMb1htWqJqMnStQ51QaOEtRqJhohfwMQRhAZ9QfswWGa9LaZkhIwRnKK8EPUejV0N/1UpqG2w7woC/lfGdhCvU4Uf0FlAuth0AAhnfWV+FOC5T6EQViD8fDv2SEA5kEPHZ00JYxu1uQ+iBnQU+kx61XmgeCRzH8FjKJrgURRD6hsQf3L+evDZ0qi5jecu2PBLDEDcV6HEm6/l0nq5qStLu30uvQ5BZl4fybJxvhmdXqbVEOo78gYH22T8qEqKVVGx5k61wQqKGTdAOU+hyphZX+nh1/3v8uYK5c241n6UGZRRukju10qU4EKnuNvNSFVbQw1kWyfMou+N7r/R9xh3zRsOq5reHb4kFCb1KXqe9VXJKwGFiNbBlPRI41CuHStSIxvdg0hACES01MreG1MAdEDfk3mDHOBeUr+xpqJM8GBIOow3FbnUBnDqeYtaDq1g7Vs++37sgJSuTfxFy0vVZCAZ+lDqBpCF9Q5WFFaPaEBrVO6/72vcwI7PkOhmI6P+w0qqCXN535xa5X6/uoj3sEI5wvXHrwwDI8VQKg+hK6dymiqAycdB1rCuNBI6YWPqZ8bSmd8zvTdGrUyO4/93OBvllUNodOjoDVTv0x/3s9kLe++q3x2P+0g50vnwQV6Cgi13Sos1LNNzwyuSQAvBJV5WQkqQ5NRBbzZOKvgD8+Tjur88fsYGEbMRXW+MpDJNaLnBDV9FHywv+gffQiVBkVwsfhQOMhnIPyL82NnBQjnNschX18BwkMe0BtdnZqMHlvbWACE2OgAgidKbpeRQLYjHn6EMDXCB4wFmAowBQgy45pBmh2FJLowbvYXdZwoYcwRIILMBd9HDWEEZOl24xpQRvPggTkksSOIIkAI6WIwHIgy+mEzGVXToWhTi4baDotKxGSSVCqJ7x3chVZwwTenArf4TMvHNT3oKJUcx72dSPjj4DDaFceCmu858AB93CnMARgPaAgBCF939o7JslOQqdJHlzryIYJuBxCTSu2HHnp6a04a7UwlnlHNXPYuB4AKcvGdQWVgMppJg7V/DgJ5T5+bSu+nb/e0H7X9UqRrIqY91THX9jj4cymxlh2/l5MT76HZ6Nu3I6jMbRsRUES1N9wHZLo7UzJdewSBmZ8t6qRghcGUdE+QiVCGEW3znJY88OcAoQoJ6M/WmYHuh8L3XV2lnRiQdoImo553tZrtNyFgpScAfOVf1QYLvKsS/XZNabYGkOFq9oAPQa+mH9Sl0Z5xlz7gpOn1OSMG/kxtswBCCucuXLs+CSqjpq9kbDXVBK7RKoSacN+zy+g1e5cJ8njPQV6MSycMPCOwR1gP30mBn5ofusmiBjQBIHz02tbwujs3J+A+E9xkAj3uZ5u2VHCkdeq5MCdkYp3+nLdNx7vSlvJPx4jrY6Sb7T6uw4fwmSciqIyCOQf1So/Y5zlwvzAW7cKcdlDBOucNZTMLHXUF4Lk9Ac/ych0nCPx8nFDXu1uU0VubD6H6GFLIp7xDZunhoDkECJ3PoZYv0kd0Nxo0VfdOHVf8k4U2gkrMWblH//G+NqIwnmPgqXhH9ylnWZ7LIaRaaQh9nR7V7xUgPKqRvUH1etoJ1eJNvXvE56IyBxFQxoPIKECkH2AwDpF+Qv1RxkPR+uomRwwYEQBpqi08WbSDjC7qeQZ5OOhhA5LCgxVBZZh2AmUUvKk0TJndWmcyN26e1A/tnvMHj4HhIIhk+xz4zYEPMg8ZExHt6oAwI8BBTKM9AIQfLYDwkaYh1DGqz9bxWPRnYLkMjPlhpf3w8vidHbyj+SHGqb1MmRO2KQOI2raYz/j487wGDeGzWtoJB4vJFI91sawzpt6mLEqgSkp9jlS44D4j2jeXANd5bZ3UcfVrZJ4oHPnLAgjvX39FiTI69ZtUJ/9RAgygVtfYoulxpu1xzQPXOv1N1M9ksf394Mf7aDaKckhN0cc/Ism5vzE1VdkcYl8jUfHNGoac9P6+zTcXOghByGLgMI4bgWGdn7aLaNaPa2raT99v9yN0KxL6G9b1UOvtIFCv8Z76F4K+g9HER0Gga6lr20oFyuQCWD5RAOE/lyij0BAqGOTadDrPdUntjwMPPtfHa1Ggp+cNyxFo+nOkh8whq+UzmjMVTHYqN5dXkBrCV0uU0S8VDDqI0j2sGqRsDx4EIOrZ4MKv7Hl9f/ZOXHv/408Ozzx+erj77DQPH+mugyjtYyYwpBBOz++MN8C7Nfpr5mcYe8wBUvSEYxH+273tI20uZTKLGDynZ8DfXH54eOmx5xcBYKym9Kxoy0j3VAjpgndRbRwtn9TkmjwjBYnZWlC/eO4h+g3ieVin+L7XOVWzUSoFCAy5C6hYiNQTKw3h3J447OsrQHjYI3qD63MN4dW1a9UslFFEGVE0CFaYiTLoAL7D6AhgD7rBurnlGpPTB/GJrUoT0igbBIZSZyUm9EWhgSmePn3sWHUuJkFwXz/UqQEIHISQ4BP4XSg+hNAQapTRTIKpGj0y1dSMuNRWp09TTPC6R8Dz5+fABp3e9fCZ00gp4HQJqpqfPHBhp2gInxjecPZpY0AdjU7JA4OHB/466OEYz4HBDDhSo6hAjYfeXP1sA/oMCeg4jkmbdA4U2PrWevdM2gl9ZhmorWtYCnBuHOjO+RPWPkEa2upYlKBOhQmcD64FHtR1b5abPHyXBRxQMPk/tj9UAOHLiglRZ2NcM+igV6Xy2l4yMygfTv4x2spEdOakp7ZQhoXri5JhDAtNguq1Ri80iAAERASFdRwq4AvfY4ITBjzhtVXaiXNVQ3i8WIQojY491qX9c5FGyRRW4YAAyh6kJTSM+GiCaNJyTRFEYZ76DtJkNHxapxpprJfuDhBt5RqlsCJbs3iGGkKajKJ9Gu1UGXKtU5ljpSFKg6JdOV1S2ohgMlzn/Tya0hEFhJnwz0HHnFmip6BAlNHPXt0qJqObtQ0OtGL+Fz8ZaPRSDqay+66VYxmvf64un1f2gdfVfBX3HIyohtD7z7bM+U7rXOmZt0jrF8fvqWgL3XRUxyh4jthX6seP9mSAkMFlWF41hOiPArPJ+S2LwIV94ziJVpDXdspguN9mtnY0sJnPE+g8+Ts2Q8E4ytN0VEea55ZaeBEUbu1u3bQCwGQ7H+mlFSA80uE9+srVh3BtvXjxFXNC9StxUBfmQ0UrV/0B4+CGnVcFAAAgAElEQVR3kyNNYk8pMxg1agcrQ9fAZWj/1DghmIx6vZXBKASz3blvBpaphF2GCSDMQQh+awLUqG9tuFgAIaKMvu7Yq2oNylzoyC867y86XtfnS/NAtEEUVduoB5kHU3FpMd/LcvytwMRNkLJcg3zOQUaMVwCNj13sgHAs38b6zpPXh89vl+iDACwyGDq2GdhTIo7H/Le+h/PKciT8+jfbAQSUkzmC9NK4mWVgEM8CEDKoDN65eWxvOFnm7olr3eRYx9+BooNh9ieTnqv2FuZB3dwr07hNYTEl0axfD3+CRGW2OAwKttyfA3sGgPC+AgifsVnSMpQLBJgEBaPvXTXTngY5oOmprkW2i/uFY6dMk/sOoozuDzUZpbngWI9MuB78PdhMCKzcl430heBlZTLaE9P39d3NQjXKKO6TVtPcf9QUVzAWa9XNfCe0uoLG+HSBV/iGk/kjSEQZagdUONYFRgEA8Vv9B+s6Qv2NBqs5Pp99skgp/nHvoeG+Y/csBAPTQEe6HlVrqMK82pcGAClE072gPlBVSJIIjnQ8ot8xSpnGisIm9rOOeetzPNOJX2aWiLIPNZNRB4R4/o6N68Njhd7X+hNaqjRtTmOHZx1Q4RoFWEoHSOO1rvry9tEzQE0nFYRr+Qxs6nmA9r/vi08Ozz5xemBi+o314t5S/l3a6RYSTrvn2qdz50A10xIuA+1ZxNE6v21KObPUeGfWI6S9us/oK466cB0aQiSmP9s0hDQt5dhlZqM6xprqQtcIvmeWHzonWk+U7woBP7edtqtVWDUPbUyNCpGoIWRfdR1tr6KM6vAf6fcVIDzS4T36yj2oDP0FnSlkS8hwEQwyOh1TTfRyIQ9Wk6GUUFLiVcFffGiKhO/6Po8yh/sAgJQqIbiMSpOUofDIhgSEHxr+rkYZDQLfT+25YAK1XCumWkI9SLqkvGtuFqW6cfBqG/U7x1E1g3U87JkYo54Xz4OZsL1TzWYAwgcuXBs+N1ysQWXwIfDIpHqZ5NhXp7Yf4OrJnSmwiTGOTwYmvT7+zhgUvce2c3xcWkrpPd/L8u+9FInp1YdQ189c//S6S7MJ8JWRyALMZIBwDrzr3DgjRUDIvmsqCm3nAkgsF+BDCJNRAsLwU+lPZaajkzptUXQ/yCiFMVANoc6T+w8S5JPRp88YD3/8ZpL60OTEyxm5ktYLHB8mq9echCgP2nJp9/Lwwa3/+6bMS6WJ6aEhxEeFduO+qrQ7PtequX+I/QgO3ZfQTTDhU+h7KUBNzxuGumn6qYFk8B71GeTaZtsoDJyKEeOuWnOMfak0s2sI7y15CDcKYaXvk9MXmsBVINcqcYAZa4lvWBRq0MyU9IF/9Rmtg/QCoFDfFfPT+ta+KEgNEDwFg/WZdk3TSyggVBqvgq6M9s+BpD4fyEm6N2xdjwbOAco+WvFtDmwpcKxnUvmXgWSOjZIhr1PrIiCkDyHpbRYYTjVmuv60vmVzw756kB9ez/w+cc1N7bVvGsyrjl9ZGRpUzbWGOpe4B0D4yhPPH+44WawqYH6KsW3ri+dItyDqApbMxFPnT+eVZ4Ze8zXF9UH+SetSNyWeBZO6sL5q3+PDvLT4rsGqNF3R9eIz/s5VHkLffkfyewUIj2RYb1ylCgg3SqJiBYIjUasSXuSNihihVQI/0fiFlvBqYRegPaS/CcxOKzEV5kIP8QgW06SiIG71HTxUAkyqFBl1ERSCEOCzUUCgmpiNxKYROv4enxOjGE1MH0CrS5/JDGTmfHpNzTPdhJV1VLPYUj9NJXjgU+rLQ8aZBYI/BU8OCD0qZQYIOY8uWXQNoYILPuPATQ8QXaXLgFRfR/FtGcDT+1k5fb+On7bFDzkfRx6yjDJ6dwkqUw+XtmZ4P2NofWf6+Pgcsj/6XBZWXg9Jf4fPm4I7zhmfz0B9xjDhHW/fCg3hbc1kNPP7U+A2ronGoKk/pDIS077GLxzQroWJtvbWqUS8A98IIgUAiPZpMAHUq1rEYPCbbwxo1AQ0dsqz0hB2k9E6hpWyB13Hf4z2DHoIMDj6U7cykbuwB81yCT5/ew5C7jGCd8ydAkJI/BlVNPZNR1zcV1gj9CPsIGqqGVThlyZ0v1w1hJ+sPoRci8r4cw+5MFC1jr6fnYbjvgqgVGBEOsRr7J3mLoWgSJ9h/fW9srGyJOiLdKNfQZs+UUxGEVTm1XdsLmhslab4Plc6nAGlORDJsfD+LqPP3gf/zTHTgCjZMwoMeb4yyqgCQgeac+BF50TfR3qTCXN9zvB7Drwvy0vI941awDKA2ZnAto+WGqVR7DsAIAHh2RJUBnPgABJ9gECR653vVU0000RoIBnuCaxPBWK1v+U/mJJ6Xaxz2ZmDZ0LzOLXYYWoxngcoR9Pz+oycA9jnSEz/jsv/5aYUAO63nw77/goQHvaI3uD61Idwo6SdwIcmQwrWqOnTAA6eaoLaQiStD6Yhgsjgw1QV+A3PFTAaEYt0yliw+5p7UCXLuN99OkLaTO3ByUK1O0M8JSQEZOqsrCajai6qjIZOh/qS+CGpBxDr4gFOIqqmpwoKMUJkeDKfRGUK9ACiNFk1S0rMHcxq4nm0VwGhgoY6xnLBQTbuO8hwJkaBkoOmgzIVGTDzA9jrZtv2A3N4bg4Qev/Gw6w85Bpbvl+ZHra7mv2a9nYuEb0KFur7WyWcM9bD9c023XJ8b3ji6jTnppfRqHPKNCCozKuLhpA+hGQeNspCvWJq1lpnaxMDdqhwR9f2xMesCULQXpbhe/YDhDjY3fyU/aZACO8iEAzapQCzf6dPMvwNdwuDcLOnnYAPIeh9Df5Q/qPwjsI85hvMtHDq881gMpH7C7n7wuyQDDL3h5v/1/XQFj39vtX8VMEgg8kE0FrM6erCNqXZ43lSntMoo/RDnND3Uj81e2RYmYNN96drzOboM2mCCvGi3/FWBREUEimAndMMZmAw0wj63oGG8JFrV4bX3HFqYYgwT9yXSu/YXu7/OWGoluPzGZDM5kbfm9FtP5u0ji44iqtzZwuuOyD0slnbsvpQTs97n0uvJwPyWWoQPJdpCev19s7TxfLmYjFx1fNA30eyrf7l7MM7ngwNIdNOcNwhD7y802tRjawL/cI6A0KZOA/4W32PVcjH4DK+PpxnoYUIzioVQjofAf/BOt5NmEQfc1zPzNcD+K40hNnaPoprK0B4FKN6A+vM8hCqtNjNiaABvFYYCAI8/K4Esmxj9ScEKMQHjIYCS6acwD0FhG4mqkPQD8YAgCAG1BRQogzCAJPR/LnpgHpQGfgQZj5/bpqjgJAEzCXMy/wQJ20rnXKTIzIWrtHicy5hXpZ4Pg6X/kYHg6iLQWVeX4LK6KFMQKFMXbYk/SCv75SCzhQqg6D14bqavvBe1w/EFWcMsvsqsWc9fqjQv+c9Jcros1uU0aztKoVWRkU1AHxO55LjooyiM1sMHBGHauQfdFDIOdS5wzUe9grUcR3vcAl3HIjBfOIv3gemEwcvg8rcVhCgmovGfExHm/XyeZdGK1Ne21L+VRPDVs1EU9LuLwOE0Z+uHWSd45w2jSHL6Xoi+ECfAQDxYWCZkCqvoowSEIKOqwBwNHenpUYb2GrlIMK7vrcCBGowHwoPQwvX15GadPX1EXSbQYOYU1atLVTo4ub4nv9NNT4KINFeaghfc+LF43Lpe2gaoKauGem7mo5yrbMSF+bFeou7rH+O1rMOjxCdmaMuuh2IwKOYG+KjaSZ8z2SAkDVkAIcgRPeWnncKHLQMhWZ6zYGenzeZBi47f1QgyHXhZ052TuDaHCBkO5126nnFvmbCgGx89JquJc4R/nryeoJBXXcu3FM6vMxypNZf/nGcofl7ZzMZVQ1hbU8rW9dLOyMU+KtQyM8xPsO1Hr58mi4mRsLHFucP964mvp89d2RAaS2Ccer+43xPpKBQk/ZrBRCuEtP7ijya3ytAeDTjesNqJSD82lP/aTg5bFbTT/UHpDkRmAYyD2gco4VmCekBBhl9lFrCCEbTcvo18IhnTxZmQqMBsuMaXTQY6zgeFswyQWzKP9X8qWTVCRgZCoBUmowSEOphp+khaOpZiaegEGWOA6w5RAmGwP1QSByzQx81aCS6cTxq/f0zMhwLMKmXobbQwSBLfLwElfl0iTJKQOiLzqWjB5XU6uHubXawqe/Uw1YZFAKaDFDqu+Yk3Dys9HBFuwAImXZC26HvVgYEZTgGBHsKZH32XROgc4l3ZGkptB0Ei+zXyAxIIQVmHB8tpwexzh/8Uf57CypzewGE7ieipuMOBtWXRTXSerDXMW9705mBSR/biCrzrmPqwUo0oAB9h0kfQvsXIBIfBZRgEhjAapV2IoLKnCwaQtD1SteqUCIEbvAT5Ic0W+dzAZg0yqRaApqLEhTSd7DOS1sb9b1lrggGGSSCVh+4z2BgXB+Le0gtRvrKUlrBfcigMvcfv2eiaeT+UjqtNL+C4bKkSO8JCBepfbcgcEsPpSMq2KOmRwGhC/7GPsvG2S9yJfPa6V6jDyFMRvFxMKhl63xDMNRMCPk71kpzf5ABcEDpv/lcJjDke7Pzxemsl1Uw46DTf2eA0GlrHRcI0FrflgkxdbyytaBjxv0Ta36xpwSHqiHU+tVgI/Ml5NmmtFZNRwkINaiMn10EkGpyzTY4KGTf9H2afoJCxYz/Ap3QPlDLqMKZRSAcdJ3motUqpCkG1CKFFiOkOyEQXWkIfW8f1e8VIDyqkb1B9WZRRgkKaUaEpiDpPH/3KHTdX3AaPCaOVpU24xn4ppAZ0E3MsmomxPrI7JG59DDhDgQpNVSCRUID35POLAcgRB7Cbzh23xjKnPcZiZ9mERphznNc8V0qvca1YPqnE0lTUV7lgccDswJIeYb3naFwRmKsT57lgT6X044mowCEbC/rwbO3b+wWc8QAC8vAIJ91KS+bonOiozF3/aks/QxEZofVRLLdXsA8hPcUH0L2z6X/nBdlnpZJs/lund+snyEomAYD2s9sdDycW2NUgs/24eBXybkDwnrQtsIEhPQhrPNY/rl/CA7wjOFTxsEZBvphMRLkHFhX8yJfg/hNkyDu8zn/EdCO7d1iql4BBlY8/NGCDl3bC2sFWCEANF4tUec+sPW2m9KnZC6ozLjvG7ijoE/3IoR3GEtqC0MTGx+ajtLUX/c+6tL8g/1d3dqDmsFOf4Ka0kRUXQtGN4Qy1107F6akLnzoQpm1Ek1yd/hI8yFkm3W/uoml/g7LlK7xY718vwuOWC/BHWgozhQFUzQpr20RAEKa47QkLEKioAYrUU0TgKBqmHRP0YcQUUad4Ua5syd2h4vXGr2HlqdUpJEnldayXr+m64X9UPqnAjUvm/0+6BmhNI/1OCBEUBnkIbyn5CEk7aQ2U9fNCEzaGPiaUm0hx0G1onzvROCbdG4O1DuYz+ZK6fhOmXM/n/kM1xs0ckg7kZmMoml0K/BIoyoMcasPPDf6F5cXKW+lgnftugoXVTCkliTUMuI5nh/oH2h/3ROtQoJCRhidnBFinbCKMnqQnXY4ZVaA8HDG8ctWCxmEl2/+58JMRXANmoNqo9TsE9c3ir6PmkRoAbcLZKSpKc1IUQ4gUvMWekfBZCAiIH18INUnI+dgUIlBbWfZ9J6oXusHgSBB4V+9zzyE1BA6ePO24tCm5Ji+Hh5dL/xoerQwlTr7QYL6FfCRySATwfdXxkEILr7TXDTzSSPjAuKOwyKkdb03ZNYQZfSzw+PD6848Iw0NfqIwINu7UXrOiV8PXcO+tU4Qej0gVXvlgFFBG1s7J6HVudHn5gBitsGgIXzGcNvwkjMRbZEf7Ud20NZ16J1tc5m1S+eZ9xUg0VxUGZGsvbjm2l4yNpwf1DvLQOB5gsnyF4AQeQjPFU5VTYQ00ijboYEBVCuYtVOFPZnJqDIOPh5kJHj4u4aQwWnoQ1gjjyZzx2sEMHXO6hwV4FgA4fu33npTA8JXbH73sFmCiMWagvVH9/emtpBjpmA/yxnr/n6jNUf1T5yabym9Vk0jAaHWtUhP+hWl1aTF1GZR4KHpf1D+fOF6GVSGpv3V1aDR6zkTUQc92i43j/SgUqTlBCzqgzzS+2YuTg0kxn3UMLa1raagcz6Emcmh7k83GXUhF96pqQjwbHZm+Z5XYZGDMNzTMckAoYM+lqFp/zJA6UCQc6NnHtukGsK67p24t475WevCLD7r546OC891XnOtej0TTFOoWkLcZ+wBbSvpPedmpM/lnKcbS71X/qkGUE1G6UOotFfrZf/JM1BIGudK7JfsjFCrktq/ZmLOAE4U2KiQ3V0V8JwCQhfk4jxAfTgHcAYEYI1Z5+/wZ+5uTBAAvvvKW25Keu979ah/rwBhMsLvec97hl/6pV8aPvShDw2f/exnhz/+4z8evv3bv30s+b3f+73D2972tsmT99577/CBD3xgvLa9vT382I/92PAHf/AHw5UrV4Zv/MZvHH791399eN7znjeWefzxx4cf/uEfHv70T/+0Xvu2b/u24Vd/9VeH22677cDzrkFljq+dDClrMyPS/ILuW4IXUIvHQAT0IVS/QwYngBlSBX1NvjNq/JpEWsOUV6lWlT7HRieRVx+UUVNo5mEsr0RdzUw1LDJNRl9/7N4gKI3Y4bsGgsFvlWZRalbHoDUu80GMMYqPJ2zVg0vbHGBv6rTujBG1S3OTzHepyaGXRR0fPd8BYfS/gzceonrA68HobXqqkt+s7Q7+MtBV56K9LCvv95zZ0PeqD2EG/OZAnzMhrHMZOO7rpLdA60c+rDNFQg+NrJvsEKxRcpxq/Vq1vOegcMEk1AAhW0Xmf/qOPjqUTHdz5B6evK6hVnTO78SlyOoz4mBeU07EngwmoO6XJuxRE1EmqCc9Iph0TdZhA8KvRHp/3+abC505MTJtSt9VO+jaJtJt1QwGHewphjSKqAri9Hto3DoVUX8gRI7WD7WE3PsMCEOtHcvqviEYVEEmNYT3Hb+rRipVWuH9ivXWLTxcg1dpemu+0kXSbpr9k7azPGmH7v0sEX0Hi25iG1rC/UAhx0TNtj9+ca9GGUVQmSwSZaZdZd90rJQGx9xn1DyuERBmdDgT5MzX1O84nTjI2YMyAITPOnFqeMGtU99OFXaqwMwtNjKgyP5nZ7SOp88nhK23nrheAh1FEKa+hntNSkNx3wPFkBYzrzDK6FigPPtGQPiqjecPtxbpiAoDsrMvs4yq89ka6gJ2gkWNocBrsQdCOM9+cO/qeaF1qJiPZ1kILHpr3X2gr/V4mqmH4DO+SjtxkJ31v15mBQiTMXz7298+/O3f/u3w8pe/fPjO7/zOFBA++uijw+/8zu+MT29sbAx33BH54PD5oR/6oeHP/uzPhre+9a3DnXfeOfzoj/7o8MUvfrGCzGPHgoh867d+6/DpT396+O3f/u36+wd/8AeHF7zgBfW5g34UEK6twfOvS4qZYB5/oemj2Sj9A/UdSFQPzaCHMNfoovQjBDgkUJwCqWneQtTPtBKVKRBmEPdc6qa5qzQcfS1biAklVmy3A8IAWvFxk1a/phoVauRYP6PmKYjkO1F2zr8E10fT1PKAShkdQHoQAmWGFEAoMHCQ92DTEH5D0RCO7Stf5gCPrym2iYeOS0XnwBkPR0owOT91jO10cmZDQRfbowzZHFhEWWXGUO5dJTE98xB6/7WvyyTEbA/LePt8THwe+R4PKqN+LPyupkQ+TmrWi3sZaOQY4C80AYgyijyEMBml9tvnQBlqHMC6zjQCIzXnykTrnuH4KIOqhz73jo41Q45zjAAIR5DY9ihBHxkA+AlSOkxrAwCU6l/Y6A7CkB9mlNGvRHqPoDJDofew9FABHv0IaRYaayYk8dSwUuuXaQRUOzjdc5DqQxMZVh0EhFwPmodQ3QBQB/YMQSDWBNNOcK3S39uFgFxfZJwvFRXiPw+fqmknPDiNaiI80mgGBnUfK83R6yoEYtto7VFpXmPLM3NRBRBKizxojKcxcH8sHRMCwle3KKNKI6gF0nFQusyxzoRwczRZtaH7gTavl+92QJqdFXx2P9BJQHjXmUUXCD9DHHTWtVxeoCBxmcWP0tE5cF/XtuWQ9Pl1GlppWxtMFfjqvE3KtMXDtBMOCNlOP/Mz01GCONJ6FR6qGTfq9OAwBIRoJ+qmUB3t4sfNT3X/kpZQAIg1p1pC5qPubeq+5Fd3t1eAUInIEX5fAcJ9BhdS0ExD+MQTTwx/8id/kj59/vz54elPf/rwu7/7u8Ob3vSmWuYzn/nM8FVf9VXDX/zFXwzf8i3fMvzLv/zL8DVf8zVVqwjtIj74fv/99w8PPPDA8JKXvORA0+5RRtUM9Npa8Rvciyih1OyxUgJEgEN8mGpCtYq4pn6IGqDAGwdGjptd/RGDoe7R6vCdYA8ESn1P1BwJh5EymSplphTriWs7w4fXPjRAQ6hE24NjgACriRK1Izmj0FMAoI9ooye+DXC66Cv4pQSTUWCK9+mBBQChB6pLAmEy+kgxGQUgzA71Wl/5pwdtdrCraUm26LKD2hmPOlblZRlzdbqkVrha3MCuNf8ZfYcf5Nm7tDzuY21slvDd//3xx8agMlk/HQg6CFOGZ9kYKHPBMWV/Y430maFwAdfJyOq8EhTSPIiAH3/VLJjP468yCPzNoDI0GeUYuWaPZj46Nxpwo76ntZUCFU+z4mvCx5GMQAWcbc2xnXyWYJDafjIcpAU92lyMJcEgTEZVEBRtPVxAqP37SqH3CCqzLgJAjTbaUwz1ADMEiuob1EFV0GcP5qP+hLTuwFi5cI9COKXfSo8ICHXP6N6s+7BtoUVwRYg2THwIdU2Ev2nMoq5d0u0MJCn9VmEQ10LdC43O6zU8x7yDyyKL0geXz8JFoO6JGe3g3P5VsPTQhb3hsR3kITw1ORf4rAIcpcO6vnXc584MlufIK9jwazqnpGmbx3aLwArJ06fpdFhW6Ud2jrAefe+pQu//+rGtqiF8UQGE2vY5Ok8TXh+LibCtgUQVXPYVFyPhQs16TQbVU4boXKqAmu9V9wCeB+qPrppEniweZZTtoomwmgpnY6pRQf2MGNcPTJ+bPdecsE/XEr6PmuryHfVeLZ2kQIhnT1h1TUeVkUbHvdWex++rJQWFnhMQAK6ijPrIH83vFSDcZ1znGASAQWgFYd75+te/fviFX/iF4RnPCE3NO9/5zmoiCo3g7bffPr7hpS99aTU9/bmf+7nhLW95y/AjP/IjA4ClflDfr/zKrwzf933fl7YMpqj4xw8AIYDmvz/1XWUThS/V8b2pGUM384zkxZqLkICQSekBCBUcqoaQ72R9Ghq4vrcFgfCGa/hyppZQJmIkoI1w6GGtpgoEhbSBZx5CAEJGyFLm3TWQLh3UnFHaZtSfmZugjEqQs4PDwaKW0YNFmQkyQ9qGLJCMAkIcLh+72AHh5NlWMDvIlPlRcKh1ax8JWPY7JP1QVsZBTWjn3pkxCX1dLG4F9O1dFyLtxItLUBm+T5kJzpcDaV4HqLxy3XvW3+V3Mv8iltY0FLX+xlCqNBjX5+Z1LIcyrcEKFvFslc6WewSa6kMYdfdPPLvYcx1nB4bjeLcv1P7UuktVGaPhGki2U9eNS5v99xhsoAwatVCaj5D0CkwErh9l2omvFHqveQh1DtQNQIEh1gYjkjJxPYL0EHjTPEt3mgr2cN0DglVhGYR9WJt1ffYd43vF/ZFQH0HcHK3lWuV7PQ9hFXRWYWPUpYJANUd1gQ73v65V0m0I9RxAqGmpWod4ZFGvt9avAyrf5zRLcxpC7OQ5QMjzw90a0A9qDr0ZupczMLSfYI5jp/WSRqgVgZfDPYJ2pymuKfQz6W+LyegzT2wOSEyfvXekX41W+TxuFrP+reZTz3f7X6V1BJ26lrWPPqaY064xD7NgBhFSbZwCQtSB+WOsAL5fhYD4DkD4rsv/Orxy46uqyaj6G9K6JAP4fv5wj+hfzhGDkWXxGpxms92TeSg/tI5s6U95mLBcqICx/GXUUT5XhYiwbigmoytAOENIDvnyChDuM6AZg/BHf/RHw6233jo8//nPHz71qU8NP/MzPzPs7OxUc9CTJ08Ov//7v18BnQI3vOabv/mbhxe+8IXDb/3Wbw2/+Iu/WM1JP/axj01acM8999Rnf+qnfipt2c/+7M9WQOkfpp3AdZp9wkSU3wH8CPRGwtkYxs44RMqKntwYkC+iv+GjfioMAU+mIohKEGoHitpWDV/uKSjqs6yj/VWzg+53GDVCQ4goo284fv+onXJAyAOWUUfxnPuqaN/oh6jmosqwqNQ4kyDP3Z+2K6JTdqlx9IeaS3ynX4FqdkhMeSiphpBjzEOBZc6e2Bue3NHorNOVw/L6dzpfU/NF9k99WBYWY7ugoDDGOD4KCk+UQxp1bhdglgE3B4r6myajdxdAyA/qIBOUHZBsh4NrZYqUUdkPCFN4oVpCtsU1y93fImrNQODJMh4IBLTgM5iUf/vWh4b7SlCZs2VxZ5Joau7wLpqLcp3VeWjScYJM1aK7/wvby/WoGr6Y0xhR7VP8ns4qI8tpAIHavmrFEGuAWkPQIT5P2oIIpIdtMjouHqzRxCLk3yK9ByA82YLKsP0KBjUxvQJ7lCV9VgCHcUU+wlGwImfDVLgTv7je6EeI+aSwj4EjdFzrM60iDQKjkTDVd1o1hTx3nixcMYLKIA+h0kXWrX6ETrMzQRgZ/UwkBGCogrG6b6QPMQaRe9QBFX9nYHA/E0N1deDZxXGcMxnV90OTBiGX0kkde50TAsbYv4vWJHxOQdPcnPJ6Rq9VWwrfO4zZ1QbMMqGTt511AxCqhtCBlYPcbAwUJHpbvW+cbz0P+l4Lc1GNGst9gXnzADMKCFkH2n+yDMB2uUnzUdyjME3bh7JITE+TUc6Zg2oCySo8LPXqPqr1Cs33/hLMZabkbr7NelWoqEA/2tf5RnyPcyZAoEYU5VkQfQ9tYggO4nnQ+0ODo5YAACAASURBVJUPoc/W0fxeAcJ9xjVjEPwRBJ4BOPzDP/zD4Tu+4ztmAeE3fdM3DXfdddfwm7/5mxUQIjDNgw8+OKnu7rvvHr7/+79/+Mmf/Mm0ZXMawpduvqkc6JsT0KY5qnSDnqgGpP24Uo2g5iBkGfoOqh8Kw8MzIT0k+wCJQRTjKO0Sts5EsA5PQo/NTyKhB7QTeUqEcR0+hH9f/nvj8XsrCPAIa3owK9hyZiHa2tooL+9MT58KlRA7w1D7Xi5mEmXeY01gJjx4DAGi+5o5EORB4RrCkZlrD6AdBBgZ2FLANGX6ukaIZfzgYX8cdGk9eqDqYlbpM3P5wZzU68oObB6WKJslpuc71b/Rx29uy7tEebqGF4PhqD9RrPvpKKtpMg9ovhsSYX54iDtI1f5rGV4HIFSTUbyPPh1qKqr9pW+JMuIq/CATqhp3fZ7vVkDoAiOU52GO7wR1fA//sg74kuier30dAWZIiUMbhZD6u+Xf0SWm/0qh9zAZPVGCiE33VUvOLqOZgpLmB6hgXc366cfJ/Rh7Kpg0MrYaGbDuk3K/mpU2hi7TEI60r0221geBHWkM1nCkeJgKIwEI/+fuw8P9Gy+qVSkQ0nFwE9RMA6ZtUbDI6xkgJD1gfaTXekZR8KgCmqANU3+zce+bGX0GHFj2Y2IyymsOcPB+9evyMffy2Rhm55rT/zkB2mRByg8+7+OyrDzu6VmxDBAuaw+BkQsR1KcwA5O85uOhe2q/fJK1D3D9sLFg3wjSeHvuXEC5OUA4pQHxC20mYMbvxdyHsSZd6DCuSz/L2l5UUMkzbZkJan13aTvpgYLCvgcacCz0A+aiHG+aqW8XH8KVhnBupxzu9RUg3Gc8D8IgoAoAuR/4gR8YfuInfuJITUa9ufQhfM4tr69kIHRPBcpVaW+QLjBQ+L075vMKjYonsQ8iFdv7WAlWwE+ENY9nwJ4d24PRUckJttZNV4u+a1jfw9VOLvHc8Rr0oDByRT/J96FulmPgG9znO1HP3Efrv7J2efjszgPDXcdeGf1s78D3aHPvg/eV9ayDWDf/Dnznh+Xxl4zJJIDOhIWNpxisJ4vu2uvVd0zN/Ob6TObYTQA/u/7IcGn4wnD37tfOjpff4Hgf+AEp6EF9dDxUG7Vf3WqynJXVulCWaU+0/+jHJ9cfHM4Mdw7P3O1BdXTN6hrL3pOt/4OsO5RhII/+vh5VF9eU2a3MoDC3I9PXDl2XyHL9xt+meaugKEy+8cEzD+59cHjesf9zOLUb6Qf0gzV9bbha95nvZZbT/RJ9Ck+WZWtGA1Utm+fdtbA1cHrg9dPnWfu82JdCR4ov9E7xia6fkq/w4ct/eSRhyL9S6P2LTn9roemdjuv8Yb4xt/jgu44xx9bXvo4vvuvH5xB1Yh6zulkWbgse7dr9F51mqK87I15DQMnP9lqJqrz2qeEFu/fUS547V/vpNHiOPk3r6L1W2lbfVQFxd7lgSRVksFy0TeqitUvmG9CKqbAk21cA2p8bLg6X1i4ML9p77ljE/fNdI69+nQTrLghYto+n66Btv3Zx7pR2LaeX0/tavwumJvdK/x9e++xwdvfc8LT1W8Zb3t9Je5uAQufFLQ7cd3bcH27HLBUrqPV5hraLpo9uAokqdJ41oFbcmwoUta34/mA5756/+6IxrsNEu2rPpj6AQo+5VzTCvOcu1bPH14if4a4N1L3u9AdnE+gT+VOnRXpGoMxOSTvx0Sv/7Ujo/UHX/s1SbgUI95npgzAIX/jCF4bnPve5NVro93zP99SFi6Ayv/d7vzd813d9V30DtIhIOeFBZT74wQ8Or3rVq2oZfL/vvvu+pKAyx9bvKIRoHkjdLAt61c/VCKxG4H/vEdiDlnD3i0fCIHyl0PszJ19S6P3UV/x/71lf9W41AqsRuBlHYK8oMi5uP3gk9P5mHM9lfV4BwmR0Ll26NHz84x+vd172spcNv/zLvzy88Y1vrGkl8A9+fEhH8exnP3t4+OGHh5/+6Z8e/vVf/7VGDj1zpoTAKh+knfjzP//z6ieIZ5CTEMDR004g+ih8CvFB2gmYnn4paSduPXn3hEHYLUzTugFEagD4F2WOlUh12YeaRt4D84GNiQ++U7qD3y7R0fpUM8nruLbfx+v3tletY9F8Xr72+eHWjWdGuyZyWbQTOeG6xoO/9XoGoqFTKSxn1a34h+9gn/2d2TNzdcyNQaalycpe3n28OJtvD2ePP2tsL9p90M9B2nrQuvYr5+O2X/mD3L+w88hwfP3kcHq9B27KntMxyeZ27j6v85lx/SbrQtef752nOs/Ze3W98fv5q58uubCeWfPRLZt37gFd/3Xflr3he+Qg4z7Xv2XrltYJXr/XldXhmkvQoQtbHz00BuErkd4//TQiK+e0G2Ose3uOlvG60zCl6Qv0TSxN1BrlqdA4tb5wrd4yCwZoFUDzzqw/fXwdLFOive1smtmbdUyK5Qk017RA4Xf+nbMi6ft+XuCajWG2l56KVYLvhStrTw5X9y4Ptw3PTDX5c3tXaW92bh+07QehDUdRhuvsieHRYWPt9HB6L3gs/TgPktHLL6VtT2VsdF3zXZl2flnbcS97BtfO7z0y3Lp+Z4kcf7KW0bXsdeLe3Ad7hfuGZXT/6Pfrxc7ELQSCvkS8Cf/e6wtLtdib07bMWqI0/pL8Ic4MfAeP88jl9x0avf9S1sHN8swKECYz/a53vasCQP+8+c1vHn7jN36jRgr98Ic/XCOEAhSi7M///M/XaJ/8bG1tDT/+4z9e/Qk1Mb2WQRRST0z/a7/2a19SYvqXb/7nGmWUZjcMKBMbdtHUJQhPN3NjtFFGFb0O09DxsI20FRMfEjGBox8h+65mOAwgMBLIFnyARysDG6jvGcpq2on+bHyjbT/zEL52/VVjniudM7aXf9WvRUN08xkGs2BaC1ynbwvfqyZCHkCGZdx/BtfVny7z23DfDvf54331qXAfQkQiYxvoL4Hnssh5vrbVXygjfnP+Ouwb2+vzyLrcRyx7h1/LghmwX3jfey9GlFEGlfHACNkYuq9I3QelIK5j/Fg/U4hoG3gvm3fOr9Z3ugR4uNyimNK/MI7JYHF0TvGcpp3gPS+jAQfgQ/iaYy8bbmmNdZ/LKBujoAEG8DuCGMRH/XsYGKCuI5kQlNVIc3hm9CMr79BowB5mXH0I4900g2VUujDJY3Q7vgeRLyOSZPgO9vYebtqJr0R6Dx/C4y2qdOzBMGlc2EONxnMuNQiYlkWEaDUf831L00NNP8EyzNuq9TGnbOyVntRaE8rT3w1lwseu1+D7FHUwyijyEHLtZX7GGZ2v67nUr75weB1Tz+C+RkN2H0L1bx79yLHu6Q/Z/mb+d/uZVnIP6vjRZ1ivfaIkpkfaiftuPzWm6VBf4LoObAnAH119HTM/6YVFU9fTdC50nDmWbLf77+n9rG59zn0Ts/Kk48xDiLQT/AQdWkzNM12LOf2r7Wj0mONGq94sKJGuq+w8RLqNq9fz2aavnp5f7j9I7zn6v7Pf+M08hK888fwSRCxmR33j+VvPK7dQnpqrTveDzy9NrIOWx2iOZ1F7Mc4KzrU+rwFo2F8/E67BV1BMqdWMGD7lfX/vrYLKzG2iI7i+AoRHMKg3skpNTH+8BRkgKITvlecfBPBDiom6kRsTobbiTE4fBKYDwSCeEl2uAcLIARVEkPWcrMxFMHsaqlxt61GeQWQ0WSnHjsy95x8kscF15iF83bFXBUPUDnzWwYTH/E0n6Izx0GA1DiAJALR+Dyjih4UyEAoWxraYzX+MXz+GFwn0dFXhvgJCBWL6bj0wtQZvnxJ2Z5z4nDMJuK6Hl4M+BcE6B9433y/7ATuWZ9oJAMKFQ6sU8jGJNT2NpkfHey3rTIYf/jqfGQOoc6wMh0a3ZRllAnw8WYZAn21nmPH/50oAwts2kD6gBRFoD6lMFvswG3NGiOuBQno+OO71U2UTgRnZKRWQAZjzFyHzoO+agMjWNkaVw54DY0AwSAEV16YGlsGj18oOgUfyUUYZ9bX4b+036T2DymQRoLXNmmaoen6LX1WNFA3hRA3oNaXhCi5RB2xCxqBfLcCMjw1BYKzjiBZIwV4W9IMgUOmq0h4FC6jzclmAGmV0IqAEKGgMqkdWVNqD707HMrqmNJ/PaB80wmhG3ys9bS/WdAQ6ZoxQiWsunKHgR8sz7QQAYaVl1t/6TgOEHEOn9ypYdNq5TPiXwR2lNe47nfkLzumuMnCobUNQmedsnBpeeOviriSAztbZSGtFQugChzmgnJ2THOdsLLIosjFXPT0LweEI+MoFDXrHFBQqIAQNfueTkXaCgFCFgwo0s/5irUyD2E2FI3UNljKbReGO9yKfIIV+uj8ZrEwFin2d97RIDEpGWqDrLeaqT4ZHnmb7eT5cW+UhXFzwR3RlBQiPaGBvVLVkEJCH8ORwqgIjZRLyvFTTU2OnOhuHFpGAsG78CigBKUP5XyW9jTnQyH+akJ7MAxkPRBNlnhlNM0GwSKZBo0JmY0dgqNq780g7URLTKyDUg1gPI4YHdyaD72K9UyfxfsBmTIOCAR4wDhb8cNUEtBqVUtNMkDhPmIdGsPUgAyB8dDg/vPbM08aiGQNAybcSZQdCzkzMjRPBks+Rg3G+y5k99i1jQjLQogDOgRqijD537Y6iIQzTuTmGQg9WHvAOmhkd0NM9ZNJvBf+ZNpjPeJ6yiRS1nYeqKSTQ09xhBIM63iiHf4wyekeJXe5R5Op4tDHhswRnznRnh7u+T5lVSo47AxJCH4JOdEvXG75vlcZRGMS8dRpqvDMwQblIQ/Cd+fFAY/ju7RJk4P1bb70pTYgUEEJD6IGuFAACPLsQTwEhx50BU2LNhNUI9gdoPCNH+35ncnpGF81pdo/enNEXCuwU2GTCKJ5pFwtX/E/DpyZpJzxVijKnvX/xTfe+0h+NHK3PZLTck9E73XeQ4FEoFQRyj/rYjZqYdoN0TfMQkt5pexXUZOcAxwB/9SzQuZkDRlkgFQd2XsaDxDwVMJmtp/d+IdJO3NU0hH7m6DOC/bKqZvOqamHVHnPsHEgq6GeqCdahvz3SKOdPzyZoc7G+HBCyzDsuTQEh0wU5zeXcp+fpeO4sRhnV9CBs3ySQW3kW/VdrkzktpKagIIjkuuP4MAWFBuLpZ000dJWHMF2+R3ZxBQiPbGhvTMVkEGgyCkAHgIdNiPQSmRnQuCErAIz8hJqnkCAwAGIwFT03YfyuXoRNFKsmqS5N1lEAOIRGwHMNapmQzHZQG4Q4oJcnTNXE9F4HfyuDQCkZiZ0y+wo09eBi8noyufqMagldkohymn4CvylVZloJNSPU9k+AQ7vhBzV+U0P4ujM9yuZ+B6FqwnjI8d1sb1aHgjGWN2F0uuD9APVC3levk8/rwck63n3h88OzhnPDS84WHzoeVuXvXLu0X6495D1tjzJ7KoHW+h0QZtJ1zns9EAUIcv4Zapzv0DFyM1KWwV9oCJF2AhpC1q2pLjrDsKghdG2lmjShLjcXdfNrZzZ46BMcVsaBfU2iK+J9mouQpohIXzOuxzKT/E0gg/dcLRLjmx0QIg/hqeJPxQi8LvjLNDUTutaS0ndT0K4hHFNHVDocpsE+/52uxm6g9hDfKdBQs3/UoYIOB26ZCb9Hd85MRpWWz2kMqRkhvXbBke5hNxUl3VOgqvuZ/a17ptL4xQ/z1REcZqBwThjG2nBfTUYdOGfP81mlY7ymgDADOXNavLHO8kUBn/ZaTRMzIFnnrNGYDDTquxXcvP+LWy0x/eIYu+DQBXlz55DT++yczcaPc832O/BHv3HOZ3Ougjo9d7AH5hLUg5ZCQ/j1G/9uYNpdFRxgFwKEVUGOHeAKnPdzFVAeS/MS+ojj3ZnFC8uhLWo6iuu9r+FViDEC/UGKIroRQMCkViPRr1UewoSsHMmlFSA8kmG9cZWqyehaCzJAJ2AAQoBDgMQAdxEKXH0DgzjHtVH6X8hKJIku0qomMabkGJsY12B+RDMj762aidbNXgoEQxDMAzZ/ZTLab9cooIz781UCJGaWYBYICKEh1PJ4ngQ7ix7dCXy0Jzss1JxJJcvOVGSHBeukhJmHGrWDmT+ZjqET9OyQwpg+VDSEjwyPD99QAGEmFZwC3k6Q5wBTNg5aVpkIEvgzx/eGSyXx/dwnk/i7BJzP6ng5w+JaPjzzLgGErCPTNG8WXz4kQmYdc2Bw2a7VZ8gk6trBd5/ver9q2ts6MzNhXs80Ajw8yUTDZIjrEOWpIYTJ6JnCxRIIOjM1XVdRq0vW1XRUGTjuOfoB4/etRYyMw36rDSZphpuR4j0KCLnXATaqNrHtcU9KXAGv0BwmTMc1+hHuFgbhfTe5hvAVm9893LJ2SwWEsfamQjR1FaimoRpcq5WlPyHoONaWgm8K+eIcCHocpqVgcrmeg7Fn/kF+x92g7/QR7XQWa4iaQa5DB4OZ+T/66InpFQBynbuFh+5RBXdK09mOudyDrHvOd5C0gfRz2obYcw4CdV9i3LBX1IexPtMKkbYv0xBqfeNYGFl2Wq5A2EFyJthCvbcc3x2u7EQP1d+4jnPWiLqf4zN3n485SHQh1fu+kANCPSvwfWMdtKLTe+3bZNxLYT3zDjKGKKPjqHN+EG1w5Z8EsPErLTwytxGUwfqAhtABYaWXrR/M30m6qwIYnhl8vwsvtE11rtrePVUqgZVK5IoNSxDdty4UUGsSjqdqCHGN5uRqNor60bZqJlpdHDrfCED4jsv/5aa0CJnZUkd2eQUIj2xob0zFqiFEXqqdteslChXyRMUGxt+TBb4x+TxaBebqRM0l1cuwrIJDgL5xgzcmLTZtkyY3My78BuOAD5kHbnwPOEBmQkenMhnJcJHYbpQvIHLXClXDNTIMajKaSbH1ECIwvKVwI1slIJ2avvHVPLB40LkGEOXGxMOlHX7QOGPgGkIvr2Chzks7HUzAt/AeEvdPXJoCQh3CuQNdDzQHBsue0efYPp8zBX8ZiOVBw776QY7rOmbLdhCehYbwOWu3VZPRTELuhz3fp4fo3DvIPOpckInkMwSAy9ZuX1tRk/qKxF5cDC6TAUS9FkAtNIQKCOshXjasmuto/9zZn/NAZpQMBa7PJbjnTvW55n7ivu/MbABANRendpDmhpAIU3CkY6nm6TQZRf0rH8Jzw32bby5jeiKYtBoROQw9qSkEPcb41T1FC4vyWy07Yv7DfxBnAhk0/CYAJJCve7ctJoJ5ri31Bd9oLgLc67peuN7wl6aeLrDDuiK9VxqCNUQfQgSV0XodaGidUJ7TxJptIo1xwVBlkuv50k0q+bsz/hFIRkFsBggz7Rk1hRw3147p+CiNJYOvGkL2RZ9Rej5HyzMgnJVV4KA0xMdaQZyukaBt+4NALedaSV1vKJcBQj1DMnrP8dE++lnhz2XjoWf3QQBhZj7KvrJNfh5xnEOLF+cCzyr8/R+XHh7u3XhBqiHUdYDvKkzgWqGpJ2g7zUP7uQLz8BD2je1otaiwqbap/FN/RF0fi32cAknUBVrvgcZqmwE6SxsoJKSLw/WVhtCH+Mh+rwDhkQ3tjalYNYQba5v1YGeEUDIH+Es/QWoJu8YvyK6a5+jzLoUlIKySfmE4KGVmr7v2Lza4BpTRQ0Wj0bmWi+AvG0ncy3wIHXRVP4BGwEAQj5cHlTEmo6r289QO8jk/RDPTI2UKvPw4JqItCkl5UF+XCqp/Hw+ETqT7aKiGcIEoN6mhghiXEBPQ6GGih6ObkGbP63v12ZBAdu1Y9g5e00Odh5cfcHrIsR3QEBIQLqtfn/VxcpCna9AZg2ws3c8k9lJ8lIlcRg3UZJTlqOnk/Gu7eO0vrvzjcP+x/1CCDMSOIiDMtISU0i4wTcIABKOvmr0p41Drb+afbs6nkmMXNKhEWMEg6AIAxNUCCCEV5tjV/ok2lcwDAeLKh/DcQA0hLTbq/IOJFMGdrgNn5CHEc1N/NTslcNTE3fGO+GiEQAJ70hOuXUQUhRAP8wmQpx89V+qZAuAGLXgDZdzPKki4VFQVH9n75ABAyP2gpqgjvZI1TZP/jCbzGjVzjCzsgNH3sgat8f2OiJ4EA+5DpqajvEf3ATL/c3QC9zNA6PQq0/Q58NX+LKNLOt+u5dsP7Pnay9Zipjl0LWFdB62RAITP3tisQWWcxrAfel3PzjlhpQodlgkxp6u3WyAtGwfXGKKN6kuYCf6iTOcJ1E8w0xCyX+QZ/NzwcVGTUZ17Bckq3HMfQl8vrE/Bu2pB9czgO5adBzQZreMAulA223ZJO/E3V/7rSkO432Y9hPsrQHgIg/jlrIKA8KWbbyqbZ6Nq/rbXrlUtoaeb0AN/JBSNfaVJaRDgHkyGpqMsX5nGURsY0p8R/ImWMJiDTkb1YEddHmEU19RkZjQvnTCGlOAGqLu0c30SVCaISEi6SKhVI0NmQ5lZlZQFiJl+2IXRXKiU0e9a2hkJPYQ8gMwcWCIhdHDM6/o+AsLX3PqMyQFJ3ssZAZVI+gGnBwe+67P6m+1Q0KMHm5s9+cHt4E8l4dq37AD3MVAfQn02O+T1vo7D3N51wQLLZeOmbdX7GSBk1NG+n/oTzhTqb3zHP0SBg4YbBz8A4auPvbRIjKOOCXPQXkCzKzfb0Xnhd2UWyLC7iRPfg7+6Rj3CKPsOQOAftImBppQpjLaGoMlpF4LLEBBCQ/jerd+5KRkE0vtXb35vTTvhQWRo4q9awSrgajs6IrrGqJ9ATsGmGVSTXpiY0rdQ/yqIUxqrz9JUFNPOQGB4l1twgK5S80UBnK4tXV9su5uMjjSrfIFmg1pHpf3x7ihJgAD5iQLEsZ5Wzum7Cs6YwkHr1ec7YA5gqJ9MQ6j3HSD4vU9d2hsevRZpJ7KP06HFnRdPaX90DOuYW8V6Hi4Da3XukudjnGIs9gORk/4mHaSG8O6z/aaOmdPmuf7zaSdNGcjUMeXY+XpRWlnLtP7qd/Ul5Bin9L6BQdJWBpnB+iYgPLcRtHdKfzv9Z78T0jtJN5SNgwtBo41RowsbdIoIXD0wDeg/6YC7fVAIqJGou5VWvBO05WoBhO9cAcJ0zx/2xRUgPOwRvcH1KSDcWDs1YaQ04AC1hICJ+I8mpJqLsBLv8h9NkIIAhhmSS4B4SDMKXUQLbTbm7WAIZrIAtKIFoNMwowyqKSlNyhywdGBjkVML5Qdxog/hG4/f28wrCFAXgR0lxZweN30D0SPTUsehSaxVwhwEqh+oDrz4W0GRElgHhb5UsgMiW04w+UC9ajJKgs02athnP8gyYKjtVDCoh8AciNQ2OpBjvZRcjuCjrq34ZKAwa6MedKjH007cvrE7PH61szDZgcj2TCWi0Q5lEv1dvJeVU3DsY52BwjpXdU/FWzyojI8RGVllAMAgwGT0tcdePpzb6GanqI/rg4c596WvkXq//FP/QwfCCq71+Zi3znLRFMjXfjAKkYIAtGCMdFrHoIGGch33GFiG9AA+bfQbpCYMZuwrQBgmowCEPgeei1CZ1SwH4RTwhYYRHwLKDBjW+/ARLH81aqlaeyhNoHCvM7mx5uoaauvPmXEykQSWuI8oo0w7gWcpwKPQo++1btLmNJrtUjqOd1A7yPvqX8c9He/ruQe1DNvC5x0URF+nFDTX5OvITZn+LKgMx0E1+9yn7CNNwqc1t/Gvczl9j4MCF5Jmmj3WPQf6FAQpcB/nI2tcoxG1j+Xfe5oPIQHh2RPXS27KIiFDOUF/CgT9jPHXkAbWOcb8tgeU1vp46Hrw9nsAId6fSzFS14W3v4FC9gvzhzJzgFC1iGwbNYaTcSmV0J2Agr7sPOxndvBEPEfcT5l96/6PccWFiAooNR8ho4yifKf5TIMT5wVoykpDOLM5juDyChAewaDeyCo9yqgGdwhi00ASJcTlL0AfEtd3k1L4kPTjSQPMxAYPKsmoo/G9RxrFfQVT3MgEhJrMmAyKlicjQRDQU1L0g0qJEcHchZ2d4cMl7cTrj907yb9UD3g5e5XQk8hmpqIkZpWoludpMsr5xMGpzD8PXLZbfQ6dkdZw5c06bsFUlIcD30eAqECFhB5l3GRUDzE1ZdRD0SXjetg5GODhkq1nZeDmvtfxlAOWvzOg5u+Yq5PMDcYcgBBpJ+4pPoQKIHX8snc6w8ADmfPp85AxFcvGcU4gQO2Czr8mqVcQyjboWPE7ymEcAAhfd/zlo4aQ98kg6P7PcgTW++2li76NUybRg8bMAUe2m2Om0l/OC68REKq20DWE/A2AwjyEWyXtxAe23nZTawgBCDdK3lnVEAb96rQa35mLVrWEfkYw7YRGpEYt1PxFtMFFiw8I+SDsY6AgBg7jOuY+YDJ67C8CFwUZ3QpjGhgn6E8n5KohdG1gpeu1/1PGXgU5AS47pWF7lE5NIduiNQjpuAoKSeOoCavtbu4ATtccGOiengMvLOOA0Ov2MyfGr/tDenmnjXoWuAB4pKlSSVZGAeGc2WimSdSx41zGep6ajD7zxOYAQDgHaObAYDY2em3uu46Zn6M+XkHPpprhTFvI/uncO3DTgGMOCBFl1OnvlOZPZ1oFf6qV13ZoTIV+jnTfb403kY0V6tI2uIAHNMQjmOqe5XeeBXQxqv6GhfKvgspku/fwr60A4eGP6Q2tUX0IYTKK6HIB9vqRy/QTLj3WhqqmEGan6sPD1BMoT8kxn9VIo2QasKlpUsRybA01hBqmnAeXH1CjxlEkmFE2SPMcIMyYDRAo+qi4+erYxkbxu9lP3JkzIVIpM8vRxEPrzCJNqt9gJYZNCsgDfJnEk4deFmWUYzl3MMYc9ah2fLcScGWaCLR0rWRSxblFnz3Paw76lmkRWb/WRx9CAkJvw9zBpeV0nPx5jJVGbMN9llfG8dyJiLSq9zKpskeZ5fuWpZ1Q6THXCJ5Du95eTEa/ZfPrFvxp1PSzMx3lQC4ciwbcoHam9ssGQpk5DT+uESDRRwZ6zvkEhAAAIABJREFU4jrCX51XBYSsk0EDSCPwGwe/zjHpEUxFRwkz6i7/VoDw3KAmo+rzgzGEFrWaCIOulL+g3wqs1MRTzfoB7GjxUdcdrCbE1HSkae0LAT1+Oj3v5vNIaB8PKFhQE0/ddwBa7p/K+/QhfM2JF49rgrRcgaab+atPdtd+dKEh16sDRNJKMt+eVxTtUgFhXfvST085kJmMqhBvGS1C3QCENBnNBG06jgqE2U6lncue1/NTtYFof+TK6x83I3WTU46Jts3Xwn7Ake9zDWEmlHLBoINsPVd13mubcAZDaGAqUQeTtyLS6vUo1NfGdH3XMW9CAfUp5TioxhTXSOfpP0g+gmsCa/ivL316eN3p59XAdsxPy/66DyHPeNStvrmqzZubR/SJAkRGFuU+U3qu/JkGM+O4sK/uh9gFn0GjxnIQPLWgMlwjeN/eChD69jmy3ytAeGRDe2Mqdh/C3UKE6D+oJqOUFLNVDC4TBDs0hNQM4hqApQcoGIGS+A3G80F2NTKdSvZCatujR+E3CYwyJJWIyj0lJAweoOZwT+xcGz6y9g9VQ+gJinX0QUA1cfdG4R4Qfe5KoaI0iRjHRTj9ufxVZBRUo4Tn8R5NLMs6s3yD+/kQKlGdYxQevHh1+NzwRE07kX0yjR/H2IGaaztRTstkzAQBHMuy7oMCxmWaRX//OJZNOIDfHlTGx0ABJu8R4DnDpM8SCGI+FYSlg1wuYu3pHLkfJZ7TAEK+Hhz8q68F77nAgBrCNxQN4S3FhzAO8a4hAWPh0Ub1MM80g256p+snY746cz1docrkou+jmWg1P+pmo9AubZeAMvwweIwydfRxI+iBHyFMRm/2PISvLT6E12tgGKaRj1HsVh/diqNL/2P83cyTEUmZYgL1kNnTv1F/fFyopnXSj9DN8kmj1Wyt1tUqHSNdt+VEzSLbT0B43/G7Cq2NNU/TeE9y7yb/uD9qRxqNJx1HG0bGvlxUE0otE/2OxrkwkGvYsMQICvQ83M98UOmM7iUAws/vbA/33r45tsEBjj7r31WI5bTXy6r2T+e9jlUrPAcosrqU8VctmgJKHUN/B357UBmdN9W2URihdJR1s5xa0Oi9/c4u3IfLduTZW/THDF5HhFstF6GbCy/S5mgFASH7Vq+Vf+iLm4xqGfZhBJaYJ5wHFMa073pOeNoQFR6qAEktCipAw74rFbv1B88f75ubjHINYazI/yHStK6t6FuM4yoPoe+oo/u9AoRHN7Y3pGY1GR1KkAAmlddE83VTFTIevoARcRS+hPjQZxDXkJ7Cpc0o46HMA9BFbitGqwPdgZSY5qLMWcVBmNfK9WOKh++chFi1LiBe1BAyD2G0deoYX9tKxr48A+nxZjkNcCBAyub5dzwcuoM+ZQTcz4QpKVwzpe3OchAqs48+dAna9DsPMdb/0KUcEGZAkADImYJskSpY0vIOCpUZ0QNJn/lSN8EyMErQrRpCfb8DkqwNXj/KOEik1kHHc25s+jrvhzCv6fPqRxqHXeRrc+Cpv/HdQSN+M6gMfAhd+0fBCbV7/R3TJPXUEhIgKrOuUmyVpmNP9aigYeZH4EBGgkwAmTKPVkmNILWDap44jlupt9Ir0RLi3kpDGBrCvQYImXNQrTxIB2npAS1hX6Nh5hkBuCKwDGGlQvugxwEi8QGAZ9JoDxJTaW8pS4Ee6sbc40zwtYOyoV2capOjjikjqxppmIz+z92Hh/s3XrTgP6i5DT1aKeql0EZpA9+vgiNtk9N+CHXc/YCj6sE0FBhkKQhcQ+R0X8eBe9+jjNZn2pmWj13MOOfU6bKeS1wbLsgdF035Qg1hfZfcoLZ3mbZQ6dcy4a0DaryG7yUgvOtMf/kcrVfAOxVXxbMU+mXAWM9vvsnPAI5r8D06Sq1+MxkmINQx0jFR8OqgkCDvr5I8hPpmBYPaP5QZwR7OEpm/DJBnwFD5QgV4XH9VI1kq8/o0KnVo+/r48wxmGQoH1doA9a3yEC6ur6O6sgKERzWyN6jezIcQuQhP7UUEOg8aw+h9lUiU+wCBei0IXSehZDY0sijKMEAB/U9IZPE3y12lGkKYirlmkM8TOLINrsEj85kBQhIyP5zHKHOlWzRJ4vToe3ht1IQKw6L+gaT/III8VOlfqAQvP3Ch4QjzwhPl0PB8QzF+uZM838vDw4PKkPDz8HKGhocYxxptcFCr9xREepv8ICKYV0mtgyeODf0AYx1N+6r1zr2T1+c0hNmBzno5Npn0mOPnggefE953kI3rOp4OmF0wMJeEWMeQbdJxoa/Gn7c8hEw7wZxrV3Ewi0R4OlcdENK0VANS4Dk18cvqqYd/eZh7U31+ebiTye7CjfhGhqECVQlCxXvbuyWnXgMhzI8HwZNKrFdpJ6ZBZWjNgTEk8FMNC75rcnpGhva0E1wnKOupPpSuqzsAaaX6geseUOCo+6FabWCNtjWBZxhIhu2gYJDChicL8kDaCZqMat1Ox2j6p4w8vjsdJw1nOaXtpIW1TKHY9LNVUEi6p0BmLt0ATUbdrNL3O9swEQyWH58sUUYf21keZTSjYeyH09ZRaND2vLdrTks4ZxbqFgZOu1RbRZrKNi0DoiwDk1GknSAg1Pb7WaFCNmj0rjWhmrfhoOeNltPxnNL0aaksUb2vgYzWKyDkOaUawttKlFGaiOJ5P8v0jJsIEtuCovbcgaHPl4NA1xqi7sztQNcB308wyDMT+zDcDWK11zy04jYQdUSDVxpCX31H93sFCI9ubG9Iza4hrIS2yXs1D2Hd7A0gbhS2QRPVM8gMzUipZQTBZRjzKvEUKfNIyMUpSf0LudFJtPVvmBR1sZoegAGsujkCmQQ1JyIRvljSTnhQGT8kMsDDwyjTRMbh34PKqD+KEn/3K+w+MzEyDgZHkFbnAP2bgiE9/HXhUOqXgRRqCJF2gu/EeypTLxyKMztzC5MAMpPi4RlK9Pg3q6eLEqZ3tQ16gC0DV3XN4tCpa6+PKw8ZBYQ8aJwB1LlgXWyZl52bM+2JHrDU2GrbHBiTMWHdmT8pBATQPlBQwH7zvVwDCs4whpp2ggezMtl1/9bxi8BS1a/MDvHJXFQakc+bjxk1jxqsRoU5U6akH/wj0JDD3/0HVZBQx6Jqm3rLrq5MRidRRif+gUajSQZIxzmPTCeU5SNUQMjyIfijZq/Tbl6DVJ9rH8+opphavvHd/fFxsfne4zOqYVAfwt6uRhfwzlavLK1Ro+fCKRXk6bu1aaSHbu6dRZ6udKa2ISggfO00JyGuuS/ZMi2h0xy05aELHRBmAEif0X6QfuozPt76bKalWwYCjWQsCKOcBvq7FJjEfp9qIFl+GSDUOv2cIniqdTdBWZ2j1imuGwWLPr51fmVQdXwpgO6C5Ags46ajdV9InkqsET2TSJvZFwqLYz0NAzSEr9z4quG2YhEC6yZto/MPCojZVxVojObT7WW0DFFBX12zcnaQL1MQGOs6KsnWCK5r6iGdG54FjEDNfrtP+QoQ+g47ut8rQHh0Y3tDatagMmtrkVSCEUMJ7GKzxq6l2SjLafCYGi20/AciAMAIgIgPJNAEhwwwU00xmyT55HpJVVGoAky78F3BXxDBxbQVIB40DVAmWgmZBibITFnhQ/iPw98Pbzh+/wIA08FXgDeXfoLlFRDW8bJDQAFmLVsBrETPa+XVD2XZQlDAk4FCgoGsLQ80H0LmIcTBRO2Qh1GndBz1sW363cGgt1lBO5krZ9yd6VJwqEBKx5rf/dnxcGhf9J24hLqRh5CJ6RUQav0ugZ2bC5ZzpgDlefiqJm2OOaj7ZR+GN0s/srG+V+YOibyjhQ6sCfR5HeXevvWh4TXHXjYmpqfGTzXcuAbzTvfPQvuzcOFz2guOG5kf7PcO8lu6mboXujBnOv899QRNy/EXJohMOYF34P1IN1HXe6mLPoR9ThGGfGt439Zbb/ooo0g7MY5LA4KZ2agK8zJ/wqkXYt8hHUh0MEjTX3UBQP0U8JGW63qDv59qm6ogpS0OmvP7nu0+5hQK7dW0E//8/7P3prGWXVe97zqnevd2SJwGEieOEz1CCE7nJg6QiwDxBZDQDboX9HgIAeILom++gUQjhAQfaAToAuGC4CMS8IBw89ISv0S5MeHmQTrHJEBaEndlV9Wp7rz5n2P91vyvsefap+ycU05u7W2Vz96rmWuu2Ywx/qPd/fjwmmMvWMmyyL7L7eb9nHmNg1hoIDyIEIBYi9FhBw9sc3iG05Ze+YFehtHM77LSqu6Jcaw8hpC+SrB3t70l+pZJ0jpAuNRGW2urroGurFq634Ep78XYrQOcrJ2cVIbnLD27R0P9vTPN97H2deNrs66But7bvPg7LIHCHEN49NDF4WxJTEMsIs/wXAckG9O5pTqEvKPzZx8PlynYGwBDH3P1W3wCrw+vz6znZ6XitG5tkHO4QVZIis63MIzGD2J/xafylbSANi6je+3I/Tu/AYT7N5ZPSUsAwpeeeH1x/zwxgUGshO7+WbWu4795QeOxlk+5WxlGyVLqBerZsMQOtoQB0ea53QtTPKGAIcWNJ6vB6CKG8IBVQO5H0BQEaY/p8BgSCBOE/OSF8xUQft3hOyeNdK6/B2EHFNY2TBjxxAc+gT2hfskqqGcAsnpWo7wwHBy5QJBBUwZUzqT0HGUZ/dTw0OAWwso8Ru2hPzdbDTPAygyQ3z0g5gzRGVKPAed39+t7INSFLB8PhAna0+9cdkLnloCnA8PsIkmbPkY+hjDYLATwPJ9/fycXNstU1aLyCJk5qRBtuQIg1nv7qE+c1x7pAcLaznjL1YdL4qTzIUzkBAC+D9DI94SyEFBHYVi0IwlCnoFUbU5a5Po9Pv5shA4dRwhBgZSvZe0RQ1jblrJqYyEc7jj+fw5XlbqzKsXh2aM9ERjjxVjrr9ciDPf7oOx4dwiMk2mU9ZddRKHp2eUMHkHCl3herIJcBshBjAvmrmSo/bb1RtmJ1x594bTPPTzAFSE9hU0GJLFe527/PJNz4xKeFIPat4BY9v10DV/UbrEEsa7dMrjXXmPM9TfzCbKM3nHDiSkRD1YlFJ2TZb48yJWfma7msIr8DtACB/KsoyWLHq6CtIUVyud6naLU6QDv7/w7WwhtuOtXt/5lRasrDJfAHmPpmZh7wLnHo+bre84J9V6yBvJxt1HnSz53XnZCrWks/+6xjw13HL2l1J2Nlsg0ypoRb5GiMCsVPL7cred1zGzcJj6ntsvz2Hv6iwKQ/cFY6X74aV4runaWZXocFkZnqj1bOtXjT4zXuULv/8ep/3ZFKgDzGj/o3xtAeNAjfMDt58L0FJVfcdkZte1B1Of6wkjsXhIMjLZAvxfrYCUc5RrPYqfrcpwPZSjIOFpdiSyVsJ6v37U2YSEE62oQukunWxEqMSz3nrpwYbhveE8FhPp4amR3U6qC/vjKTuz9HqbJY1uir00DuxR/Uq+zeQYU+NT3GAsMM2v3IPA94EibOvfRx88Onx4eHO6++pndWLyquTSBqtefJoCtLlRnCDBUrsq/8909cKtjHJcFM4NuHwcfz6wFrWu4XPDmRz43PHO4fnjxdaUwk9bnyMT4DoPkeh/vDLx6mmPuoz3/nd83CwkoBnjHMxeGmtkW97NpHrUvjfnyroov3SkWw9xPXct7eFKZSbDQGGt8tB9GAaHHzOsaGx8GUycRTcR3rCb4ABy6ksYTDITgMHfvjXjHYPh4CsD8ETpJQFXjSNLAZgth9V4oAsKVbiGk7ASZpN2DIpR+q653AESBP9Fd3HAFCskw6glmoEMBmmKFh2ItMkbrL8eYtqXi9DovYKmP/uDazO92f1sA8CGUfADCu4/cOlkysM7UPTre6sm92NcZiPh+9Wf7dXMuGXs3uxdOSkJbt9k6mK1D3tf6vbP/J/oghUz5p72cy064oA+98bZcqZfHN/OWtO1mFt0M1HzOoTUkZwN0C6w4qAnwHBaiHjDf6xm6922f2xm8DmFWYOmac4VmZjrE86Cl2eWxvo/xyZ7ir67T8o+2fLwctDIeOX7QlQPT3I5zz/NFcx2wYSGsVuByEVlGFUOoD+/jbv9ZucI1/k5O951O5KL19GtJ6ZdlC8YVT5X5ug7K7mBV45mVhYxNDRUaO6oQgU0dwrxDD+b3BhAezLhetlbdQqg6hLLqUYNwu2ilssUviHk4CQk84iIawC9ctBwwuqWR5AWIbap6GISpiXFZ49wSRKjt+JBUxjMP6jvniUdhECHCnnRARBBA+NpDc0Do7g3ZtUkMXYRXQgOM1gmXXz9zGQJQavzK9xCS5tOc3UmzQJEXhQMdiL6uCULZt3b5mNz/2M7w6e3PD/dc9exZ03qfdbGTXNwTHjiXLV3+AO+3M8ie5lX36V30T6Do4bMXCjDaHp52rKzNUaWYtfkuMOSAecZHf98yFqa/rRSm93fK68Z/c78DDwkvuNhmIEvfstU1z31PwNSzXMDMGUbpl7sG8e5HRhdS3h8w7UIAFsIbhDTLx7W2+g2zB8g5aKzjIOFsBJCuXV6aR93TXA7b+lyFcXPGT6zINEfjlyWtsBenZ75wI9XvTVKZSCpzaCtUeO7tAQ3Htd9DBVgTsS5ZM6GU88RiAEbmAYthVTJUIDkH9x4T7jTPaSnJwNxTo7fOnMZnxYMnlWEt5QyPKDd6+3PJ2uPH3QvEAUAAz6Aa2jeu9HNQGufjul79Oa9F2BQivM08Tps9zdlellHOZRpK3Nw6HuQKv9aDRjf8mK+dDMQ0py0GLVzRRdNOF3p/smRzOVYedF0BMRpb0bXMO7EsZfowvds4pg4IfWzWKfMAIMzluvvy+lgHmpfoPePUix/MFnX6wvrZGQfWQeG50bKovrwxWQjpH7LCCkDTuGkdln+aE8+2Xp+tf+Wkl4PR8ewuSrsuVzE37uLqbea1Q/w6LqGa81wDVf3xLMahyAwF4JtP//7GQpgH9QB+bwDhAQzq5WwSQPicq19XNtjhsvmllwsSq++HigtobNQAiooSLPr64dDukVLH6lz9HddemL4f3m33NKIcNa/08dK0PI97uF7PvVAiEeOZ28Ph3XiOMqAeLc8me6mOUSMxg1GS3Oi4gO1EhEYge2Y4O9xfnEa/erijCkVk2AtBIiyQEmYkTDYNd0vBkDOduoXxWAEtzrjc4ggD8/pZ6ltoQdvs94BOjN/cFZDfLtC7MO/rCW252n7g9KnhP7Y/N7zq6HNn7h21L3XO+x/vo4NitLcwj6wRzQwnCxTOJCujKZ0QkNopgsGpwrU+efb08K+HPj5cd/HG4VUnnjnIpZFx854y7j0rows4nlSmB2579/fGP49SDxRmzeu0L0blgLexpCjI9QdxG52A2rg26p4YESvAFcugX/t/lyyj9xx6eXEhCiujPtnqF2A8TmJRyG5DdUzKe/TAt4+rrnNXM4Am7+5jpGPe1/jdLIXR1yhILzfQlsW4jaTHN9d1Mrqmb5LKtCyjee1O67JS80gkNM1P+eLHAIU67wnBem3mJGG4kbpgx97UE53GhIKqFahHEQH9JF297gFwsofcW8UBIecdTGC9Y30D3HifnvWPvrqSjzXfE/plhcrKsgwIYz+5yil60Ks/WPelXepjCD/gPdxCyDthlcmgqI3f+OzxBudpziPcUgRwcf7h/KhXYsPLN4nmP3Z+a/jsmYtVaSte+qwTh4Zrj7Sxc2VAD6gzB209DwMuo7eNZScyf1ui0aszMfcmqXNQGsvW3yWFqfPvucIvervX3Pt+1HdAq9Nwt66yRig7seQySlvT2hjbngDdqPzT+Sxf+H7KdQRpjwRi0++OgNFTcuh64geDj/XjB2v/x8YnL5INIGS4L8vfDSC8LMN8cA8BEN581d0VEF4s4lVseOIC47cf47eAGoAO+5zuP1Tglz5+zkHgdqld5aAzt3e4RDNKzAOEkuTmyO6x4eJWbHkBSD/vyXAOF2jHufMjqOS8g9KdrTPDZ85+YHjOkZdOwHNquzxne5fCzaVmooFT3ou2ghBdrECV7yTkERB1N1zXpAuA4tbas4xCdHF/wNVK9byqIFz+TckTbIkoziprTanvGPMYhPPTu48On9/+zPDS3dsmN0HcuOr8mVsXVlcvEVDfdeSWDoZD4GnQy61CyhiWEz7UPo2X41aL5hCt5Jki9TxehIOPbH+8ro17jry4ZEtbtbKqrcxwcUN0a6S+k1TmRcVCmJm+gzq/j2H26zPoWdI4KwawuvWMjWBZzFr4LIz5+Ng0TxYHLITeJ97ZhUUSzqh9HRcgVFIZLISurXWhLtJ7x5MBlr6OvE98Z/15vUHOLYFCF+LcdbRnCVT/tD71lzUZrknxQYnDfsO9Me47N7zjzB9ekRpj6D0WwikGeqTInhU69tKYXbZ8J3soyrJe6R9PMBNgqbn2sybcZRSrIXuMNSw64DTE6YMrJNyiR1/p92yvlPaUVIY6hDrnVsd6T7nG3QF7CrkM8lizspD7PnaAmC37Ubqofdq7RXbJ6EvbzX6sl1imB1jYqz4GbiHsAUCnmw4se8czCHN+45Ysnt8DidM5ewGsUacubJX5KrWCz0UZmZuPbw/XHC5KW/MKqUpD6FJpjD4sKTK9DmFWeGYA2aP/PR6RlZw+3ihIfS58XXA8KwR6CYVo1+ffrarMEf32mENoNoBQfFPv0q6N1mnDvUp8nh30usu2z7G+Mw8ee155jlkZM8jE8s+zsRrTtoNJeANyDh4HbYxaSaKNhdBX5MF/3wDCgx/jA30CAsIzr7qnAkKBtfy5WBK+1I0+nsu//XoBvQtF4AL0ZSAGuOMerI4XSnqDICZYEaMfWA7Pb50vgCtcWrkuktaEVZNPfX4BbzruINHb4loBwk+d/+Dw3MNfPXtOtlYeKUBPlslzW2eHY7vHJ7Apq6WO66/6ghUyrI3NFUvP07nMsEIYGkdgFJzom0Cff1wDq+O8sdfeIcYKITxrcP0+ff/k7sPDQ9v/MbykAMIY07lLF23nWJ9wy4rPkoAU51r2yCmRRLkRgAiRz265FCr2eM2zhXsJmHx491N1Hbz8+DOGawr+zkKbnpsBXAaC9BmXUQeELgjQVltbc5csrkWYWNJac17CC669WQBxzbvPe8/KkC2F3mdcvdAa05Z+uyZZ12WXURi+uxDVNTPOWQa+vVgShLTDZTA0Z9zryZeOlnPny4kWNxSryddLe268AW6j2eqAUNA0y6E9xkXU3coFCsPNaRNDqKQyZBn1LNBSXh2rvhKRgGcCceNOz9ma8aDQHBH/re8OBInxnPZRdTGdu3z5HnMhmwQzCM0ONqiH5glR6p4VUCg3uCJKxx8tgPD9Vpje95m+I5R6nFoGquxTrWuPCa/3VxAbn6zUif7HOs9lJ7h+bq2MazNwESDwPcDeX6fQon2VnfjM+VPD3TdePfMIybTI52KJdjqt6yXm6VkHnf/1ABnPFf1RLJ+e/XhJaqWPvEE03sqm7OObgSht9MDhOz5/enj20RODLIRBB/IKWP3du2RJAZjbYx37Xz2hpwDMc5/LTui+HEvq7+AAL66dx2Dq/BtP/utwx7HnFktre08Sy2jMPY4UPqIre+NEqIDLJW7lZX14/OBM4Vc6rz2KDMAzXGmZn61rsQ5qDB0Q9maSmPILG5fRvRf6Pl2xAYT7NJBPVTMAwhdd9W3D8aEwCrMtAawAYdkaKNDFuQqKilZT9+Diqd9HiiUvZyqt/uAG7CSQyB6ojwrdzzTD5VeOY8FFVMToSAGpZBGUdvvI2H8veO/361oEl1MFuP5TSSojl1EJNrJbSggKAQZgOgcYziD1DLfe+RySAAHmJSHYrTXuEtWzmHn8obebNZIQZgiqZ0ntxWa5FehjZx8rLqP/Mbzi8PNXMn1VYlz+0U8057iI5vXqwjyEP7vJZiac43d6GnrXVJ8qHEeJIW46eqiCQcbW+5KZbe6nz1/PZVTXu3WK+10wyNpYrlmnLe5p5Ns4Lb8LgqQXoa/vPdrfebZbQZ2RuqDgwqNbCClM7wCvx4zR8vJMBHJ+uxCo9Q4g9PGJvjeBzDOQEifiY+21pqJPof6hDeJEAryM1pVyvr73uJexaPGsTVKZ6wcllVGZIbcQ9kpOTHOdACFjGnuwxRAyBzm5TE0CZvMWLqBFMVBpbVgRXTHksYA1xrDc60kr9NxccgJ6kOkPv7OFMNMPF8pzhk1XgGWwRzt+nORiOufKHgrU1/6PxMppwwTAUxwh8wAgdMDjAnsGBg7cliyEtL3012kw7+Njnevo9SyEde+O8893aIH+OpioSrPyj7qqFXiXvSz+kPliBoQopPKzdF2v7EQGdz4GS3hR4+GKt9k9AlblYT2FX25vvi7m40ObveL0Pn71e1XYxad+twd5YhkshIRaEJKh+7gFGYU5nyx244HsRUICsWl9ap4kAWK5HRuGtmce6b8dZLrbaZZjdspLUnKMgvROW0KxEyWJ9FGW0bdsYgj32ub7cn4DCPdlGJ+6RrwO4a5qABYNpINC9axmAy1Hz1cRKza8fyQEKF6vuRfJctcSxmSAp7IU0kJ7DEoGYZVZjIALoa8HwGAIFCcVoZAwKmuSaFHODgfR1F+5IKow/T3br67CiBOxnPzCmTbv7u6NYlbEr9CWM6tjZTic6cEMGMkVRjdqm10Q6a0SZwTqIxq2LCTEPM5dRT76eHGZ3X6wJpXh+t57Mmb1HQqNvZQ+5XF37SPv0dOcOmCLNbDKXHmXxoTi2xMBg3oOZSc8qQzv2tPuOrPMAkEPDPb6zjhHgoSo++h9z1aGJe29rwUHenmO6bODXLlenSwxOn9xqrmMOqMHmOOO6XuGNVatyaPgo/Mw87xGl7Twvb2mfZ7XFu6i7qY4K0Q/Sj/eV+8DCiD9JTPmBhBeX8tOHNk6VoeK5GDZnb3RuaBkntynBwidxvhe9PjBeo2b/seHeCIwzbksg54l1JUNlZaUheIxW2GxazXeM/rIAAAgAElEQVQsYx81K6EeI/dD1SG886gUYNFDp9G8LzF3WWGj8+4GCKDjukl5Vq4TSGItA2i8/frskcazF3p9ifGKlpayjfoeW7LsaLweeCwK099904nZNs2032kO9MRBYY7v9P7PQX9zgWX+smWQjsysR+PA9UAV1zv9CKVZP+bdLVgZEK4D1ZmXZDDnY5ZBJYozB4ZqT2ui5MhZsSJP7zSbldVYwr3qUOYYb8DgVYXeP17ovSyEyhfgMYTOt5ynTXQ+ATtXCvpcA8SRcbIckTON6nrcTp0cuIKbvrlHUd0H2hPjWJFkhr3cy0C9SSqTFtYB/twAwgMc3MvRtFsIvQ6hnn1kCBdN4ufcRZMYQNwmBSL1/WxJNKNYuhz/lwveq/3mRBna/NjUDZCSOKZqfBJz9yQvnlpelj2YWGWmaRBd4Hy8WAg/sHXf8MpiIQwtd3yIt8PdzJkKwgzxdQ5IeZ4DAe+3M84cgO4Z8XLNrd46cMKs88VoVsFgK0y+Wky8ju8IsPT9X3aahVDgJAvvPW2ex+nE+8YIZy2euwiGBnNuAdA9wRRC+HPmnL8DUHrjsKSN7l1bn1nXWPx9986/Ds+8+IzheSeOzwTD5n44B6QNeM3Fg7kAFdlPFfOYhZbcp97aqHPU6XxeL1wyA/4IUuPYcg3a2TpP5ZqjRaJT/95y/t1l7b9yuPqQEkX110tTOMQ3jY3HlkabLWbD5671MTS62jvV5Wdsx8/HGmof38Oytss9iH0eHgbxcdqwM8b5Tu1WKtToClarM7unh38482dXdAzh7cf/S7UQepZoxgq6LAWgK/s0rgKPMe4x0+fL73CHDzrgdQzlsUGiLp3LisTazmhdjPPt49mlcYWP9uf7w+MY/f6e0koKwA9vPzDcvnXbCMbmtMtpltN869asfp+OY8nsZaOO9+vHC+rJziegFRmA+bNn/RgBpysAM712wVnfP/74ueHB3VPDy6+5fmoqK+B83LJCC1ojy1JPgai+OyBd6nudxwrgm3Dv3jOc5/4MLnK7PsYZuPm173n00eHp21cNt1xTPJvKhd7ukuIqK1Z9fhg7t7Tpeb21x1pw8FiBrC3arIDI8+lt8166J/irg6T5uFbFY9m279h5YPiaQ7cU99sSzpIGynmEj5n4hWhvj59PBoBxLJ2fNUWeZJLg8dnzBjCHhwDPJSRlZ7TwcZwY8VDsRby4PEP8Q6y4+qIaq6I/V3ISsXV78CDObQDhQYzqZWwTQHho+8uG7e2WiXO3aNS3RrfJSojG3/qrj5+7jN2dHuXZTS/l+WRHzdfqfbZL+nU5u9b3GrOo0v6ltP1UXKPxZy58PvzYXv2q+RnH99/r2v8dz18sCgGN437PdZ6b/R67/Wr/yb6/ZxSeCQ+WabjSDNtT68aA9rh+v8ert+fPX/jsFQ0Irzv+lWXtr8aLX+rYk1Bs6fre+ZyErJdt+lKf/2Sv05oXvX+yH8XGE0NPG724+yfb/qXet9f499pRv2vm8C/g/S+1f1+M1ym3QVU3fwHrvvdeT2YunorxOX/xTF376/JEPBX92u9neqZ8ta09/+iZf74i6f1+j+1e7W0A4V4j9EV+PgPCvYAgr4NQ6n+/yF+1273d3RLzWDTll/rpAcYlAflS23yqrtsAwoMBhE/VfD7R5z4ZQLhf4O2JKnSe6Lutu140bgMIvzBAuNd8uJC8LqO02uldu1f7T/b8FwoIl56bE65x3X6Djyf73iEYbwDhQQDCL2ROLue9DgizUuNy9mM/n5UTCvpvnrNb1v0GEO7nqC+3tQGEl2ecD+wp7jKK5lDlFuQueq7U6aMOoTqgLJv6eDkGXEFJKqMYRLkhnStZQfU5VtxHT2/tVHdS3JNCCCCGo/0l7lDniWupz6siw+on3Cybz0Vz8WzuS1E3Kz7u7iHWeKaAQVxGdV6ZPb1+DW6kpEmvbZTnyUVuyppZjuHyEDGOLSkJsYTunsJ70O2Zq5G5j+Tr3H3EXRHnAeRzl1D1d6not859fOfxWofwlUeeN3Nd0bnsUuNzRrsrsaTZPzdNmc+hu27GHC9/5A4rl5e9PhrTHJfAb49B4ln/b3EZfcbFpw/PPxExNTkWxJ/XS37Sc6nlnp77rbeXXaDrGHTmP9bcPGYqj4Mn/HF3V+ap51aqWI+3XXj38PLdVww3Hjlc41tZ+9l1M2fynI2LLcD27HnQv64ngUi85+qe9fg0Pd+LpbOvlTmUxE+Te/folij3IP/IWbS6mNbzEf+MW+O53Z3hvjN/ekVqjKH3rzj+XcNuzXAcI0lir6X4cMYz7OnhYlzXZnLll4sWpSuaC6roomirUiON9H5cA8SOE+sZrpQj/R7XFgkkerGHdT2NE+9x5DpEwhrcM0+evzB8cPv+4WuGF81ixlk3ngmZ/ejuzdB2YsfdXd7jHWf73NwCWfXuHur73vc/12betURfllwbdT10DZfRl10dLqM9l/bsdptJenZzJUvlFA4x3tBzKaUv/mw/xnFPjIZL5Iw2lmfk9ntxfP7u+o7L6HPJqmITtZ72x4XZnXede6qvAb77WGZ33DwmPddUXYNraHPlnyeV0TW4304hDnIrLcffcbas/a0XlCyjTc7J/SS2j+Os/zw+HmKgtZ+zhWZ3ZbWnJC+SsaDnS5mj4UNTwqm6huON/f09hEDnlGCwF1agGMJ7z7zhiqT3vXV4kMc2gPAgR/cytI2A8LLj31mY5NEqIFSgVX2wVb5BokKQMmX35JzH+iEsUAjegR1gDoaJXzfZQdWu4v5cINCmJ7NcJcSjgEDdMc4hOJDAJO6bx8JBOHNdKxEdksp83aE7ZgWzfdg9JipnBvUEOzAsEh5Ev+dxEk70c4Y5Yiq4RiN+uCQTILukV3z0/nkBWmcSXLPEtPS8jz52bvj08NDw2mufUS93oULfqfmUlyHMqr6jnVwX69HDir0YCY5lUOLMYDY/ab6XzjmD4hqVnXjWcOPw4uv6LmQ5NsPH9GhZGF5TkLHLMSLcsw48Mo7EwvT6OglcFeSETcU/XovQ+0AJibp/yy2sOwHAXJjes4xmgaspSho4JYmHx/947JUnGNBxT6oU8xmKFT2LwsMel5LXMFnjvI4dpVEig+2q+oNkMg44dwogvFIFBK9DKJdR6P20Tkflm8cK891jAgXwAHMAP29jThdGEKg5Kv+0FrxuqQuJTlsEBKGxuXZljb8S/RkfRHs5o7XvP2UZfd/uA8PdR26dxURxjdN3HXOhPYO5TPu4nr+05W2yZ0la02uzKQIjIUuvJl2vFt0k/Nd90GIXq3Jl/K2yE587vzPcddPxGe3QjyUAx4U9YJgbqTxD9Hg8kZV8S1lG56ocrY2WjKb2zdpbSk7jdCfHmXKP1yHM77waU9cAoK5VuQvV9nNa5/f4WtlbGdhGrqcEXCpM78mFfMyg8a4YjHFr/dU1b3psXnYCsO3zCFdZiumcso6Oe8/BZ28MXEbyvakEOGQS9UzmQcfnimynRV7HmL4q1vDYWJtZPAIFEmtn5+LOJsvoyo4/mAMbQHgw43rZWnVAeGTr+FRXLxheAENKQiA+oHnXNVWoG3W0ZBrVcZIJ1A1ergEY9kpDuDUA8KlEEpmw54LGrhFe0mSqLyFor2YRlcZYWUa/9tCrJwGBgYexOcDzNPuNqYfQok/OXJfTT6Op9r4SoA8Y8L++CACEwSyD2OePE+esWe5pUD908uzw2eHhCgh7GlfPmhfrIT7OxAgU72k8c/96oJD2csC52vNjPfA4G5+kNe4x6wyOlWVUgPC2Upgpa8t7AoI/zwVXjmdQyHH6DshmLnpjurSOHRBOzysz4v10hQDf0eDHXo2PnqGx/evT7xvuOvTVg8pOuKVZ12jvdQvCj43QHzF2t/bmhDF1fsu/Hhjsgb/ePOuRgEHeHTDqzwYQeiKZc8VdKAuiV7LGGHpPHcKq3S//ocTDwqe/WVDXuKqsjxR4GldqqDr91vzglRH0Lrw78hw4KAwaECpDlCHNitbodm27XEQiFU++FcXeY/f0MmHrWC07Mdw/3HPkxfU6QGX2HsjlLHqZRdlHtOPKFk/QhTXRFTjwjtwGe6UeT6DIwQDn8vxkIV7teDFxyk54ltFMJ9lfS0o/zvPX6SZj4ddkr5DpPrsov0d+xtI9Xa+hNG66twcInQZn+rROGennesCvgpnyzzNn5nFZpwjwd9c8q29eZN7n3nk6wL8p9YI3aH7YL5SdUJZRP7fEy9Rmzlyq/lEn2MfWx7PHe+taVEKxkU87nceLJ9Z98CZdi7LQ72s8bqw3WwAgBgMBwZyIZlOYfmk3HczxDSA8mHG9bK162YnDJQ05wgHZ5JRBzgut850OnqvCBOXlW7bCYG5RQxBQKYbtQFGCg4QLr3+FMKe6gKEBbpkJe4Aw1ykDdFXiYgICxMUH9tHz5ydA6AAUohTvMBdmnNA70EQ7CpFEew3Am5japNGOIw6uMmDMFjeEClmD8jnaVz+yYOBa4tq/kap+5LEAhK+55hmzFOhiIPRbAk0ul5HfxRlTE+TiKgQ8H/clcNe7NrfRu9eP+bhkhu1t6VkAwmwhXAcGAVM9QchBtYBYDyR7Xx1wuyXBQWFuA4XANN/jGg+t6jzj3Irr0HieNv/q9HuHu7ZvH24o5k6vAeXr39eLZ6KjDbcq+n7hu9xN+fgedJej+TPmigdphP1Ts8vZJsRrADDooEIupr3stxsL4fXDnce/pxamz+AJhZxoM5+elh93fdy/Yg6jfit3MnNz2hou95pDCXDZjSz2Vwh7tENxevVDbYkeUaYH4btHF7yovZbRY2VT/mOxEL7myAtnYLAPLBpt9jXlNLt3HLqQ93OAz6ilJwFf+xga6zQr+EaM3BIYaHu/7YysGPLfAFpZCFV24s4bT8yyn+ZSFfQrKxX1tEybZpuz88Pfx2so6h01Dq5A6s3DOrDYs0Cu649bCLMCFBoED8rAL/MYv9/BkNOyzCNYOz1AmK2iS5bhSwWEyAjwBc3x3z32seGOo7fUshP0H0UGPD+DTPW5Bwqx5OHeiwJ9vg5jv8ID3NLHODkfgaxrT+ci92pXXiTUK0VZqbahL3iL1LZHOqKx3pSd2GuX7t/5DSDcv7F8SloCEL70xOuL9vfY5CLqIBAWrzgcxePUGMHiTiqL4Nn6VzGHARyxGGJVBATONPlj3A8+302ECIaTY/dgCh5v56mKs+uoM1i32mXm8si588N9ZiHMjDlbPiBYDfQ062AwyyD1nK9acONa4bYan9mzysHsruTA1hfGkqugrpGLqRiBiLwzNtcAOiP7yMm5y6iI+pHiGnP6QmP7WbiL92zv4Azg+KHmVpO1ji5I8P4wK39Gb3yWNI641PaYO2PWewbM6O0nm8uoM8K8EeeQJM5mjWgGoj2QnMFdFq7yGNGPtp6iJ8QU1n6YlbBpT+NOACL99fP6LpfR1xy6vVoI6/XjBY2ZhuLBa0gx1qvuSXO3s/z+ebx4N2oP5vXu1mHWsteYAlToL3UJp/erXgsRO4wruixaCCRnisvou8780RUZUwK9f9Xx7x6ObUXsrFsD3ZvD3fNw8afkB4DR40HVVi9mOxQBMTuUHwEMUlKCdnr7H+8OX1OiVZkeT2uqdPxw0php7ajUilxGBQj9w770YvIzV8+xU+v2K23gZu/r2b+j0OmFE3iB9x4giD0695xhjqBzsxczOqXzXphe1+l91Z8zRu97Siyn5byL2jtWeMW50h/oS+afK30pB7JLrAOLfH3vfo7RzhJg7FmlBQhvPnK8hAg0q6Hacwuh0/rMw3hPaCW8PdM6AFTmCQ608zp3cLtUdzKD6IkWj/NMv/TXAWFY3IrL6OMfG+46dkuJIWy02tvQfaulIUJWwROE8apjYWOXtts0dfAODoh+uNV6Om4Dz5rwtRi1qFdjKONdsaSGogm30Vaq6NzGZXSvzbVP5zeAcJ8G8qlqxi2EyrbpMSVYCT2JwJHC8iU0CBAKBAoUBnFQ0oYgawAj3a8C9CQZkNVPiQX0+9iY+llg0OMHK1Gq5xuJdHcjbXhphCrxq89qH9doOmiLaxvFIQbxwQII5TKqGMLMCLHw1XuNWPWEEBdYdD2uTB4r0vrT+lu1xiZseB8yQNRdHkfosYUQf53XdwcCjFPMS3MbrAKCxRC6wM51PYaYhSIHa3pGdjP1de3Az+M+92oz7w3XvOY1kDW53NsTmChMf2upS1XH1zrCe2ULqfdlCUT2jmeGiXDAc11ozGMq4KuPz3mdz3JTaFNbx33uM0DEYkjMyd+cCUB4bZFi3SqYBRxZ6Xxc9Uzcp7NbtwuoeUzrO4yd8vhBtxZmpp/XoCciyNbBsB7V3LlT4gISmRCnrD4oqczfX6FJBtxl9FgJEUCJJ1dQPtDrup+TpTDoyFx14aBQ13vRek03Gvy6HvJmrjSj3ePKPdaLLH3t+7JLnqwcWA69nyg1ThWzw/+6+LHhNcdeMOuFe3OoDcIE2F8I/kuA0MGgC/r+Xeuafew8ZAkY5Dgy4gnVcbesAXxcsM8Ajn0PILzjhhMzl0bf2wyMuz32gIyu09xC751/+DxnpaoPfHbVzde6QsLP5fZp00GiWx65Phemd3pUrxE/Ln+xTrk8AV1lrNyNONPrbLV22p/XUAaudd2Obq89YJjBEvPAGAhs1fcaFYW8g9b1mx9vhenV57xmWCcOin1eMyh02u/9oi9O6/neA46V5pd/8CCeSbzgUrKzUPi13no93PBWCOvkhZJU5s2nf/+KVAB2yO2BHtoAwgMd3oNv3GMIjxaNcXYPIvuceqLvOYHA0WoZjIx+xwpEDGIUbqJOqDNBFzhsWuMmJqBNzoHBXKHzFC7FXUlPwuc8mBeAsRELz4YH4X/ILISAxMykEAr8byZqbhl04UIENGJb4pPvI76kMgG7Zun62sYIbEkskkGCA8JM2DMTc5fRaa4MoPr9nJ+Lgm19ZpCGoIBw4oIDIC4EtVWL4xLI6wku63ZI73qeqfs8hnBdOy4M+HUZODmTzQoGv8/BIOsCQOjChbeR5z32Wavsxn24fzkA9nMc19+/PvOe4e7tV1SXUX1w1fG5rMcrwGousLyLx35Ef9onCwD+O39HWdO7p4HacCN0AUC9JgNq1RKbJUruovTdE1rVfpa6VFd6UhnFEAIIg64kkGfzWWna5P0gD4SWLTTWb9xLG+x5/a2eHHXMVZyadRaz6tZBXMFcCIeWT4DLuujuZU6bKRQPvXevkodLquL3D/8yJZVxeuxJvnrrMFsM2Q8ZENGmK3j8O26jed+zc9yCZttp9tWTyriVxi9yZRDj5zGELuhnQOPtZDAICFwn4Mcea4pRaEO2ggFs83v2lEw9gNcbnyUFla7FQnhbsRDSx54SUOecBy3Rf123ZO1CGZz7mAFhnvfYF2Hxcnqa55z+09cJfI0Tnz1HekllFNbAu7EefS04L8nv4Upyzqm/WAQZ1xyH7uCPdeneJpKXqvtqaUvAHN6AnDCXaQT25lKK+tCSnUXx+o3L6BIl2f/jG0C4/2N6WVvMgJCHy7onCyCun7IMVqJR/pObKMxfFsLz5SpPR+4aZI8jdOJHDIqECyUn4CPLoAt9pKuPkg4IHi0JQSXKhSg444e4VeJaNdZNG+aETzGE/7j1vuHrDr9yfLdGhF1z55rirAntPSMnO+DdJDz0BAgXGLg2CxGN6M4zTOYspK71c6bdSzhAUhnFEE5z00F8vXf29/B7lwSFrC3vLfKJQYwnc1cyUPF5zkAq1mpYTHsfsRGPIQQo5aud3SDoTnMxgiT9FnMlQVDuF+9VhaRxqWfBgPn2eVpaA74W9N0Bn6/v2BtzTbBfKwuhYghvOlYs96X/LoB4UH+Ow+NaLCmuyW/a9fmejPEVg443p/0e2HTQrquJKZtcQ+U+VI4Tn+J7dafQE2hOPCd6VwWF8uywHp694i2Echk9WiyEzIeXi5D3B54iOh6JZ2InuKtopt2xFhXTE4vcATq/dUbAkLnUb67jLxbBvM9mJXrGkw4AVi16LUupLlcM4fuLhfCuoy+YufWzPhyw+Jp24T4r6/x3VgKxf13Z41bCDB6zhUv98nhC+tQDBz5WgJks0P/LY7vDZ89FltG9AGG2ajlQz6Dd2/J3oE/8XRrffF3+vQQQl+7LlqtYl8Nw74PhMnrrtavKWa7RX8avpxDNaxKA44mIelYwp/d5/EKJ3DKr9rKM1n7hnju+D33tgcG8HoghfPXR55UQgUg4k0Gvj4G37aEEWS5yfsU6yGCOdn1/MG7ZUOBtYHX02HX61d4vRrO6lNqCiD7EuXOF3r9lYyHca5vty/kNINyXYXzqGvG6VEdLUhnPIJozjNJL1ybLnRTXUp3vpTGvBKGQH7klEYPiFsJ6n9yGRmERDY/+esAw2h9dr+NOWJ1QOJP2RBYIocRqEENI2YnoZ3yyhjNrpH3GPOX5JGCNnfBMow4IeUa1VpZ/SwAhxnQda2o9yW4iOtMj2NzhMYQZUPUACvfRV2coMYdt7LJA4eP1RC1907qz9peOZaEsv5czwrc++rnh2Vs3lCyjxcq9MMRzjWSzkmXNMoysB57zu/e0xLjQ+rU+pp6yPuZ1Dl3zPNNv3ov35q9A3d/utBhCZ/rT2I77oSkZolXX8voaQ+CT1a6niCFGy+NKMth0hQIJZdiTxA27Vhjrk/oxm6vRSyF7NAjEnL2C61J5DKGSyji9Xpf8q85zHdNQsuk7ScHqmhjHm1WJIk9z4kCO71671euSkUwmC9VZ4af9goUa92VotO8hLIZaV6fLDZ5UJgufdb/p/Urb7vbHmodOZ9rG79xnB4TsZaflS66oAIRMC/y3gwM/7nQsk7Re2QmnW05TOe60nvMoxpYUdpl++O9YKzHOwc9bcpml9/Xr3XLmANPbzc+g3Z6FMD8zyxSecIdr85i5e21ur7cmfJyz1dRdg73sSH4n6DhrU3/D4jrSaO3R8WV0LTGEAoTXmMY68wnv/+RC2uGN7DX2YKb5xPhGaabWQOazGWzynivXjV4qainXMcyJZdygIDqlyqhvOvXfNi6j6wjKPp3bAMJ9GsinqpkMCJU1lDjBiQDWLS1AF1ZCJZfRRxGH+kiocCuhjk2lGEY3U7KLzjN/NrdR3I4yUMxFifXEbBFEoxyxTvGEiEuZj6q7M6gdYghVdgKBAyCYtU0OCFfLScxLWuQYQnqRk8pMAsnYz70EiCCWcbGSvyCYc7wnDDRhvo0Fz/WyE7WNQm0zoPIRzEJCnfvSHRfipzUztsVvhAj97gkUGST2wKa/i2vd1wHMrAX1frytAMJnDtdPdQiXwKOPDd99XPz5uY18nVtW3YW3B7InQVNMzYRU95LpWUBzLAjzJismFjwdI4ZQSWVg7F47MISOYOZu2etpjHWNWwx7aykzedKJ97LPzYG4CRTzLT2cVdpx0YQRkHCasggxX0EX9BEg3CSVuX6g7ARz654ckVCsEU+n2XPX+7gmZ3p211EvMu9hALFeIoN0jiHkyc2CFke8xh2AkDVX38PoPUK6A8LHZSEsLqN3Hr514g99q1wfEHp8NPSHdc/a9tqtTs+r4k9CbRlXEss4IHRetQ4k6HlL7oPZgyIrs3JSmSUaBvCFjqwDNWk7rvBc6GW8f3zc+sr9GfTl63IZDj+v79n62LNUOiAEUGVeFIBjvQUxv7P/zuBwSTHqXkR+/151J7Ga1XWgNV/+OXAjjAC+AKDFQqgso55UxtdIL6EMtJ74vmkPlBt1jOyk/g497xKXEZzeE/PIfAL44T28G3uJuMIGZJvb6CyecKQvok0XS8aLDSBct2r379wGEO7fWD4lLTkg3K2lHoKUKiqQovSrMYGtnASdxlLohe3zfQ72PBFBTleOdtnBIOnJs1bQ61dNfSnUAwuFM6SJ+YzUhLITrzt8x4wJZCEBZuUChwsrTXBv2s+pL2NjyCqAAI9Z0bXOmFrb8+L0vkB62UZ7oIr3nzGt8UcGhH4tbeW4Q4SFDLR0L1aungDB9ZzLzEf3e//DshAdXQJqPQ21M57M9PMGAxDmOoRZS4yQQB97Y9oDhXkcGCP6sWRRyALJkoUY5UBWBDhw5jsCNDWpNP4OCMX4XQlCHz3DqI7BwAGoCCgIOBQb9r22TmngrqPtmfP9gEWQv5SdIMMoWYklENS5Kv8nzs3dFnF73NQhvH7AZZRkYNnNv851GUl5dbR4vCBmPrZ1T5QrqmdJTeQQceZkGyUmHJf/qgQYJ5oyQhSmRymna6Tky+7FPdCUBVXfo6wn+v94WZyyEL726AtX6H1ex2G9mivInN5AB/U3x0FzzvvCvb3EMk4XMn9z90GAYAZH7tXi9NXpnejA/SeLy+j5U8PdN149ndK+90zY+Z4eoMnKup7yLtPantLQ3Q8nelHX0yotWrIGUhPPaZcro5zWAgjlMqpPNnz5/DoPgP4vWQIz313if3qmKzt6wL9eMyYRo+97xQ+SqwAFMXzBvUYcEKrsBPVpfQymhEoa//FEz1IeNKDNk4M4n/fJKDAqfqpnQVXOzZXI8KSgJTH3WXk4jcU4a+494usF+uLgcBNDmHfjwf3eAMKDG9vL0rIDQmUZbYQ5SCygMArLi9krS2jE6fAh02ivwySioTC9CxdRO0wxJ+UpkwafgqSRJSrHD1C/yrX+PLeBrvgG4QmmHRY1TzoAIJTLKB8Hd0GcWzvOEBwQemyU1+XJsSeemED09ngxuOrY2fKSLrg7IOyBChITuKUId9HMnNzlxRmlni+X0c8Mjwz3XPtl3bXGeMLwM1Dq3dRjjoBdtzBmISK3tSR0ABQRwngex3uAsM5j+efMT7/lMuoWQl3nILIxob71NAse+i0LATUIe0AoC5X+3nNhIawJ07ocrQsODjMgbFrTuEu/vR6inwcQKobw+mIhRLBeHb9w/4SRAwg9y2i+x9csmt6soIn+ZYoR+jAAACAASURBVJFsLly3/sY3B4Qw/iYMt9bIWoy7qACMWyA2MYRRh/DQViQBq3MzgjrKBrHuAthFfI4EL8V7L1kEvUB9jSlPPpwOAHo1ZdcpeObWxLZr3MVTfaQoPGsQmq87ZCFU2QkBQu8LAqjuaWC1ZZfmNZwuq70eWKptVIWk9XH8La+OyosMvWS3UbccLWWbXJd9kn3vdAW6lpPK1GvL1nI+xbX668pA2stzxPN03Me8x7dc0ZXHv6eErWNc/mVvndpHH9/xO2u0BxJ1yTs+f3p45pETNYaQD2CPd3U+ken7xGsMRGfg4jJHnoMl2p/Bru7zuXdAyLvDp3iGAzjnC7wfLqOvPBIxhPn9nd+6ZTi/HzIHij+f07lissWL61nwD57bUyxmMOixg85LXR6pSsAxftDXir6TaGzn4s4mhjAvxgP6vQGEBzSwl6tZTypzxJIM8HxlEVUSmSDOI9CaCaoBEr00hUBgEK5wPVpxv5QA0gn4wILoSQYgli4QqL1ZFtLR7aj2caR1lKZw7anOO3hzQKj7ekkyVM/KCZMIIscq4R7HgjT6mbHxmmrb61w5A82CRQ8QeskJ5gYrja8VjyN0IAYRDXAcAsuHxzqEX3vtMzqieQNRTvR7AgHPz0JABoB5TdO/3l+/tgceAYB1naHNrPMx/2Qw6+/iZScyeOu5z2Sgk987a8FdoMjCpK/VWEfzj5eayBZCB4r5/fU7xxNyDWOh8wKKiiHMhel9fNp9McArYHEVz8V15V9m7ihlsnvobO2O7TFW6me4/IzZKk0Dwr4GJAJSaA9rIEllYow3SWWg9wKEW1LETcnCwspX1+UIDt1tlPH2shJTiYhy/dlS51FgkXvn5Srm7qGkhK9zUohYrU1Y1+34/PGYhwa4tUH3YfHmO/vJsz6i/GPuAYSqQ+g1/1aVjvNSQ9HPucWQ5wXgbKsYPsL5HgjweOA+rW9WIrcK+l7JZSjYn64gc3Cj8wKEJJXx6/W9ly0TYOuKpHV0rAeOeA7j4e+QvzvvzHQo1uXqJ8sWbul1bwW1984HVwHhtG7Gl1wChA52fe69Rz0FYKy9+cf5yFxJMk8sk2MI61iOTWVAyBw6GBT9dM+QN5/62CBAeMPRSCqjT55b5x0+dzlMgLHNc+byVbQfT3C6PwOOovE2PD4enmWUvjjLyWBQtCQU/xEiEN4tmyyj6/bcfp/bAML9HtHL3B4CwktO/OfhxHDVbOO65ljxgp5wht85XTkCBq9B9rpKRCdAGWfDatC00+GcRH2jrVL4drsWGa3XluuoM0PbobEOcuuA52ihuCJ6D+0oy2Rc3YTMprl6+Py5kmX0vkExhFgwspYpykYEcelpU10LnjWg9BMNLIwBMOOgkD5yLAsStO3gwAEhsSkKLM9WLrSEDo4cEL62AMKlTwhq8zGMuWsfiHRmfB5z02Pw3k7u26VsgyWtIf1w4ajXHoBQSWX0yQKN38MY9lxoHfjpO3FEWcPsbsIZPC652y7Ntxcepp95np25ayzkmuOCBIXpVYfQmbL64m48S0kBPO7QNeO9uY7nxt5zocHbBgB6/C/HsrvoLLHM6Cpa53AUQMgoKppCPCGWwrObwvTVQqgkYmQUZQ1JmScaeK7ap4M296w3bi3ETdSzjjpfYD/KNdQBPGUoaD8Xp9d6znGH6qdb0bRuRe+vLlv4sULsXUEX9KWtNwChYghzJtNKf3X92NmlWDBXXgGYnE7o2NJxaPtSYhl4VAY+vayTDhRzgqmsIIM+OyB0Wud7t0cHHQxlpV8eD+c9+dpMg9eBPqdHPdrtYwSgx6rmoMn7ngFh1mdlel3XRGJq3uc8hnnseuCZd6nrZPyxlFV0ouuWQCzXSOSZDbBFh9U3vIOYkzc99q/DK49+xSzLKM/wNZMBW91HpVnCCposMgeoPl7Qe/qSwXI9X/55u+zBes/4DvAKgT94ZPC5NnsV+CEHjgpEtYFCaWMh7O2ggzm2AYQHM66XrVUA4UtPvL7EixybWfp6cYSuRabURN185T+5ksqiOAeSc7dP18auA4Qia163ig0/EdTypVdqQoRGzF7WuJ0LqwloXBg9WcpO3FcK03tSGddQQQghdD0mmrXQnvgAApcBYY9ReDmCJS2sZxDrLRCsiD1AODEOu9GzjHLeibozi57A7wA3g0Hv3zqmmu9zcAlI7I2/t58BKX299sjF4iYmF7d+KnEHhBmgLYHq3rvs1T8fO7cm1PVlL9ITvNw9mIQBwTDbnfn9HPS5y6gEBECj2qDsxLVls2Qm74Crp92duyuvgml/5xyH6LFhvt6834yNM3+3Cobw3jTCup51IJfRaFdgUN4LMVayGioubnf3/BVfhxCX0VmSmGpB1XgV4Db+xWV0sq6OXh8aT3cfxfU/1mbEEDIn+gawU0ZA6LaXEYIvEBOe6QcKO1+nuDmL1ssjBIuCC+3+fo+euzD80+7HhzuPPn+tO+uMR43bjHjC+n5loS3RaNZzVkplKyL72umJ3xPrOyxGOY5wyWWUvvnYsSfU557L6BJtdl635Drq9Jln9mhxHrPsBur99e8+17Gu2sf5NMevPtzofQYgon33jhbCF4wuo0u8p9efdWDxUoAkyoC6PsZ3YY6X3t8thD2vC/YX4CrGaG79Yx6l4HvrqShML+WJz5f339cLa9nbX3LHdY+QUD6Ge7Q+7MEemEZRmQG+rnUQ2N41eojyKJciirXWrtH3TdmJpRW2/8c3gHD/x/SytgggvP34fxl2tw8NR3YP1+yhWAMBUKuFiwvoKlfqQ61CNj9lKHQebTNupLr2aBEX0CqTiCDubdZBzP5OPGuCAhudnttoBomN8M192kWIHi6F6f8hAUIffNcYZ0DEdaENblpov87v9+sRDlwAgPjCODJQyC6juSA97XvWSWfObi2CkfdcRp1oB3GNlrPgsiQMuBYvJ4VxwOPWQ597f+/eM3wc6V8POOZ7szZY92YLobdHn3hejsX0fjhDzeO3JPD1gCAp2L2NJXdR1oPPEXPsmuEesw+r27wwvVv78hhrHbuwDRh0r+/Jijxe6+/twmW2NmYBcrb/RsGi9UfCTmSVczoQscjNOqjrsQZOtQfLFVi7Tu+eGd595r9fkWnIvezEsa0TM2stLqLnzYEcl/9Ky0Y6p/EVGGx1HcNFq9HscD/lvLuZMpeeMIwkYpQScrqodcW17kLq6ws626PRLpSqDqGSytx9JLKM9mgd6fLdQhhhAtHzHuDJijE902PSgke0T1iHInNwpg/5vSodSklGaKmXZAbLiu8j+r1kIdT5njKKNhgn+DO0ERq7RKcdlPGMHj+BhmVlqr+D35fBoIMRbyMDtZ6FcInf1TErL+Y0Lr+PvxPndA9ZyDOPmykFxpdbZx3slRYhlAHFnvcpLHgNEDJ+ukf/3vx4WAhPlI6wRqHbTqODfrbRd+XftCa0Zso/d9Gdu7OueoO4kpF2fNy8bfqT+YXTfj0/84L5mom7lVRmU4cwU4SD+b0BhAczrpet1R4gDMFJ1VsuTuCwEj+5X41lKSg1oYQyJI5xlzBd7yBQ2er8g0CRBfVeYgJqEU5EZCRExAlmQBAMq7FgYgC9XqC+CxDeN7ynFKa/c9IYO4ibudypzZGBZ6am370yF80lZM74nTHMNIejIMF7NoC8uhyytdABAkxjIrYar9JHmD7nZSH81PDQsBRD2FuELhTEOM+FpN5cLGlQM/jjeb3soj2hI2uBqybT+tTrm78ThenJMtqYUFzF/T52fqzuiXIgM9P5Op9fg3DY67sLg7HfVmFsTjSj6xAC3ALoAh7jkoUJWQjvLEllbjwaZSew5KlNj/24quh9Tp6b9yULzEsuXi7Ez908W1yZz5kni3JBm1hC7flaakLWv/KXchN+rfovKyHv4BYfgZ2Lu+eueAuhl52IlDtab+G0j/KvFwPusYG+znsx4YQA6DqfJweDopFemsKzwob3RYAraL0/kzVHIhnfj74+5TGiPSCX0f9VCtPLQhj7e7U0ETSbtp2G074D1gz0oBXsP6dl+ZgUQHnP09665DI+BnWvmkuh+s0+5zp2rgDhZ86dGe6+6cQKGK50xHgE96o/HjKQr1lH/3M/M2Dv/eaeXl9ijc4thdnqtKSI0r0Awtuua67zmW7k5xNb2VM2+HrLz22KiHk4y2zPjO+idcCH9+slkuEal0vUP1cO63um87pPx970+McGL0zP8cxb1XfKScDbtI7lbSIZSOc8BjfHarq81WSQosgb748128A2ykgdz1mqxTN431iLMVbsT4UR8ZG1EOVSKzOksKENIMx78aB+bwDhQY3sZWrXYwiPDcfrU8OyF4CQD1bDSgSr0NBqD+oY2UgRGBSDwrWKUzk2upK6xgeXUdcs6x5nsjMrYH12cxX1+EH66QDLXRU4T+yICJ2XnahEZqQtMOMloSBPjTMDNM9Z0zy/prXgsWMOFvwZLoBcisXI30XfIZkZ8NzfAYSuDaYPEOQcP1fnvXSO9n3euHcv4JMFimm9FSaJtbMHBp/I9nDA4fcBCF98XWRbnFuy4soMgLluneDBO2f3UMar7gsDkg7efNyoV+axopx391Ed01gRX8I1Jw7tFiE4BAR/NzTGb9x5z3D39itqltHWLsJSzCrr2bOM5v703Jma8mFumc8aX12n/vg+oNYUa3fG6MtBuR3WMazv3axTM2Ap99Axu2h9D7Pi75QYwnvPvOGKthCSVAYQ2MBzKzeUy044sMZd1AGcWwm9lBDzIlpOEWnfhySWiXUcZSkmd9Jxn7CeMjBUn3DnzIonhE6UdY8WSfb9IyDMYNDVlbiiZjdP3/vOZ3gXaIW7l/bA45wXjGt5vNDbdXCa3QtzAXPfv/STY0uA0GmNz4ff70BIx3sAsAcS1ynKAPk9q19+du6Xz0Gvz1khCA1RvwUIbz5yvGQZbbkK8txN4ziCY+/jxD8NzKwbw8wPfd6boiEr2uKupdIiDva5E1B4tGSxPXMhlCgZKDsgJKkMisIsF+T1o9+VTo8CEVbBcBMPr6057yRTfCgW63M6Y5Ytj6HMiLfKycfURvCgNqruLprDB6LPEVJwoQDCN5/+/SuS3vf2z0Ee2wDCgxzdy9B2jiFEQJgInVwQyqZWbOBOsQ+yWSlKH1rkQ+UalaJwnXBLIuOaZi96LKFCH09G4JlG0ZZVTbG5iek48YVOdGEGAazaGc9Q524OJJWhDiElI3Q/2blcUMAVRH1Wn+SL/3hJwIqwzDN1fxYwIKqMK8JGDxBmJuNCRV4SvbhCHcsFyx0UIoTnGEIYgQOUnga7af2agJCZn4M4FwBye/l9EDh688o75AQsPYYW63S11pQ/LwNC3p9r/B1ww6TNnlVwSePt7+LCa55n71suLZLjB7Ogor5m9x/1R1rdSXAw2UP3E0MoQOhpxNWPyVW8ArZg6j3gGm5Kc/ehNn4BBmO9RRtSyAjw+V7NY5nXDiBBz0Ej7OAEgEh8M2BEyWRkEcxF1k/tnt64jB7/7kEuo/4hAZhc/qHl8uwA6MnKN88eKsGvUTq3LFYaWec+ktJ4XTC3EGpdAPIcUDodgJ77mpzvlViDVTk1rnGSgekelBruMur8IQvqWeGBDCp6f6bEpbONAG+uRIPWodzzdQ5NCv4QZWVyxlGn9ZO1UbSs4zaarUiVfunfHGNMQ6U6hFgIffzy9T0wt0TbMv3md49+69xS29znfWFe1lkFM81e6o+OYyFUDOESb8jglvZ7Crz8LKfJrhzIiua6Dsb40Gm8xvldV2sy8zkHqL3YQefTulYuo7cfLkllSsI97RWsgOor3iU+Llj02FNZQe4uou6q654m58uDKa0CMIz3b0lq2LeEJeSY9SxvyENE8h80BS8U6tLGOmt0ZxNDuG5X7O+5DSDc3/G87K3lshPBVC4Wi96Rqd6gu3HWzTaCRP2lBqFKU3hCGWmXJ4A0gjPiUNRGdi/FWsgAUMfKYwmlBfL4AdcWZSDh7qEQeR1TRjp9zpaDxBDmOoQQGO6bM+YgZC5wuCVSz3B3Cp9QEcFebAlCBAzTmUklnpXANSEi5mAuUPAcTzsN8IM5OyjU9cQQKstovmZiVHWu4qNxyHERs/ezHy408V6Z2feY77r26KPqeZ29ONfyZgbfY/j5eR5D6EyRMY91uio8kKglv1cWdhBomD9dLy2u1s+50c3LBUDGmLkOS0WLdXLw72szAz7GuTLgcd4Y1+naws3/plgI7yoWwhsSIMwuPxQBZt3nFPXuwnR1WfwqAM67sM8npj2upt5aWJBja1uAQmJGXEhU4hinSZ74KruOqq1NltHrB1xGUeR5qaC6ritYaWA/9kQT87Obp8578h7RbSn3/Dr2kgNCMke762isnQBylBvKSj4HKO7m7+BO/T1War1qrYneU5heZSeakNkAY0+R594R7Hf2Uo4F5/gEZMpw5f3ttKCO2QQE4ClOAVtG1aUC9ZVGiUaMt/mcOTjU2BNDePdNx2fO6E5LMk3L75R5otNUB4G1X+PN+fj8DeNXVhT6c0Tv/R1jfTRw6QoknutKQ2jNvQ+eGS2E8cwlerPEp3pAu6fg7LkJ+zv3rIM9i68r2nhn77cDtl4xeu+vwB9lJ64d6xByfknZ2YsdzEllVEtZShL6lzNJe+jB5IUwDvzM82g85qUmtH9F9ystGRWJsVYiXrk+s/wLZWNYD7PLt645W+oQbiyEvV23/8c2gHD/x/SytugxhEdLHUIBOc8uSmfIOlc35AgIewXpiUFhY5KgwLXHXn6iWdUidiUDOza/CxE+QNPxzqgdK0QEglGz5FWi0dzgPMuoW/cgbh7HoWMeYO4uEE3wj+Qynj0v39fTHDvDVPKC1TFooDDGv7GyVfe9Oft1puDgRsfDQvjI8NpSmB6m4MMIAMyM05/g53qgMgtEmbFlASlPo4/FEgPnmr0AZmbobz/52eFZw42DYgjXffJze4JBMKp5Kz4eEhJ4V4+J4I65lSISTjTNbLMk5GL0ul/9c1Dm/cNd1IWmqg0u/6hDKAuha3v9LehXdb0ZY0CmmKLxwiyM8nwXutlfgE0X6FkT6iPuoXk+YPinLxTrlTF+WQdXFB6jJYtahAEY46O+KqbkSncZfVWxEIreV/o0KexiJFEAupcDwqksgnh0UOMRKyGWWQfktCdwmD/VlXOcE4Ah9NwBIfdlYXOJPntisWqBLItNf0/KZXT4l5pUxhOB5b2LdwhWFD0H75A54Gx73umUaHgPKGVlIF4ATgNop5eApM7VmgQzuewC+4r23ULo/cv7NVsDe/SAtvN4tLlame7ZPu2BRG8r09hsoct9Xn1aHHG65xbC3P/MO3p1GWt7pUHPJdADhLGn2qd3zZLLaDwjMstKGeh0CwUffQ/vjFV+D79yhaC+CxAqhvCasqDzNXpf94ASjffY3B7NxxLoc8MejbGfxw3mOXLA6R4qWXkYPKy5iwIGZzHppfFJ5hwbZu5F7zeAcGmH7O/xDSDc3/G87K25hfDQlvJ/Sles5DHnq9uQfgn4nY+E7bW8xIliP9RHx3p1CDPj9kLHLSoxXtVdkJR5lA9kzmMIyTIq4YHvZKZDgIAIOPBzodYFAQChXEadQfSYEVpoJ2Jh8WtAU217/GFzeZ1PK6BwSbhoADMEjgyqchzhOlCYtZ3qCSABQHhPAYQwMcYvA0T14VjR1Eoj+PA5txU0K1QvZm6vBZ0Zvc//EgDsXePgNQs7SwLOEiD0PgVjm396GmQd89Ih3Je1xUva8rBOxJNQPOS1pt+4As+ZcHMTUwv0T38dKLoQoON/Z4Xp3d00M3XevgoYNhjZ7cfbyHsuxiP2rackZz22Z8QDKD8gwEeiAFyCaiHzKT6kAUIBQAclCA4VhI4PCPfFs8PfX+ExhAKEuIy6Fl/0HR7gq95d/XUcV9xcekLnKFDv9ztoJ+7IgRuuwC12MGiMK9tij0TiCX08Tpt942WAJOQeLjehhDhdFqhiCO86+oKpa5k2zJO5tPjWnrLHeU1PiRfrOB41f5c45nu+jpspA2ehBD6QaiuVo8B6lq0j2YqWC9Or2XXWsGOlwROllMOj56Isjb/P0tzyrpCJTO/8uN7fY+JoU9c43fTjGWhlXu0AUPc57VbZCWIIc//hdz1+Cd1zhTD3M78+Pt5H3sU9GhwMuouo98lBIccd4NV3s5cTX+jxKfjBOkDo4wswZG3wDC9E7zIc7008obt9ooD3dUZ78A7nIext3ce48c4aU2IISTAWYxA8xZPNAB6h/xtAmAjIAf7cAMIDHNzL0TSA8OXH/2vhNIcmV9EQooqv9phgRtlFAVNHasxgkJ9WeiL8BnRcxxwUkmHUXSBytjriUwCFLiw4MUWrHM9qWqHZ9RVEBVl2hu8Byzrnhek9DbkzBfeNb4R83u5cG9wy17lO/OpihJLbRrYOucDgTCaDRhco6nslK+FE1EfQgLBBbIEzShjHhx6NLKNLLqMIJTBLjcXhIoycKe6a+rgQ1ANv1xwO1069d2bU/q76jmDAfOUENkua2HV7ZEnzzT0OCOm/nnvE3rHXPuBznRDB2Pn9OX6wrzmeWwfz85fqTHEdfZJbK+Pq5/Q9NMsBCF9z6PZSqHh7Voh+Wkvm3jnbR1mrY53MiW18D7L/YOAI71moo7mrC8JW3JfHn0X/22rTuQnojoBQ14iOVCFCSixLLqNzGwvh9VNheo1H5GNt9B7aXufO3P3dSuiFoR1QxnyPtHe8tym0QnDLHhS6hzqzuI5ipcvKMO6F5nrcYLRjroRlYQAIdU4uow4IM8BkjWfLI+2yLl1J5+DF+1oS91bgOucNDeiwL2KMYwUTa7WqALQNVt9xTm2zu2Henuyvj54cagzhXcVltL6T9kePcI+Pg15V+l2u87H1/tM71QE8Veq+QusBI1nxmXkRfIR2MqByZQL95toeAFy6XhbCpx+OpDJOz+RBqSTKPTqUFZYOstfxpMyvp7Uzn8rFWpO6rOe1wZjqvHuQNGAWDwBI8V3z/JZiIXzlkefVwvR5bjyr6IpC1NZIv08tcZgrEx0QRuIbCzmpcsrcq+aqsuAeGxlIdi+t7zuOXc9CKPpBngnKEIVMt6lDmJbcgf7cAMIDHd6DbxxA+Irj31WI5JHh3Nb54fBuMQNlwlXYR9Xwj+kGyEBK3GBs2DGJxOhSShMkK4iS9a1m30QkZTUoQtuxAkhxV8qEn4xRR0sw8ZRauFyE8JE1h7SdgR6aLJ1/SGUnSh1CxRA6cXeir+vkOtGLJellwiKj3fRu4xcPrHbXIZ3m2TM3oQpqVy2ELmC4RSkz71y4vLeSPjgCQpWd4OPyAYw6CzW9trJcoXsZN9fytTlf1U7rXO/afI8zc+7p9SnPaazRZnHtWQhdmKHNLLBwPGvN+a25QKD1+XVBL2vvBUL9Q8IJ/5uf68IB70YfXCBgjFjDCBK4jFKY3gV7t/DN+joKhj1LYX3O2EndI8E6XDpbYhmddhrgIDELAQBHzyrqMYRqa8o0x3NHUDiPXStJlspxPBUECN915o+uyKxz0Pu7j/9fRRgNirwC6MoxYsC9DiFz5+s06GnxIJFbbgKC0HKAOW6jYcVtFBthjhhxn7scR6hnu6spgNAtwAKB1cpQ1iCx3rpPZSfeV+oQ3nn41upGGnukCbNZ+Kdt98AAFMVYxCcDHv+dz3H93AIYe3+p7fBO0fuMijiVqxifLbfCpUL1WFx4LweEzi8nd0A7mMGRA0Loia8DPUPx0eeKAjDHpPl1PVrqAC6DQcYZ6tgDixlg+vP4rvd510MNEDIP2SLG9XktuEslCoFZDJytB/ozWwedTvm85RjRJRd+p+HwBrxG3KvH6T/KQbmMvuLw84brS1IZB4S61pWb/u4NdLpLZtD2dco/Nwj4elHbGktiEeu58k/7VfkdFOubP9G/uSVQNMKzjOoezzjtbSir9NtO/8EVSe97e+Egj20A4UGO7mVo22MI5TJK/OBMODQBgRqFaJHJMKquytVILkeyEOJeKrfTIOoRI0ix4onwjuf0O2pVDcPx7chh2ohi8x8P5risaRahOF4Iy5mRsAQwaS4FPqSPnD8/vG/4n8PXH76rMnUBmKopG58t1zbd23P3cH97BI8GCOaxhHVsSvtZo4ilSSTQExRUzbVxvgwMp7Gza6hp5XWJnLY6Q4VhOSB0MpyBTiW2GpfOO+icX+/gkXM9TaoLAbE+5p8MTHUWRuUCQN4iWXBYZS/tjred/PTwnOFpwwtLDGFWAvAswHt+x/xc/53fdyn5hO6hfwEi45eEvPxZEdDGcff3Y46ydrhpVlurEgBUduKOrZcPNxwtiphROI65aCCBOXQA6Jb+3jiwX2YxHmkiGKO8RtH+5sQBuc0QdqPRKtxUZZWATLiN6iMAIkWTSuDgBi/atLEQRlKZ7QIInT7HWM7LhOgYoLDuwTrW8dfdRQFxXoye2oOu5COjqNrAtSsScbVEEfU5DhjTPkHBwJ4V3d4pDiqsKQmWObuhzhFDKECoZ+o+CaBBh9uey27/nNKecaUd36EVS+CPPZLvzcBhVo+udKcHON3rxF1HvYi5u476/iKG8M4bT3R5Ef0E/NX1MO5bwEd2Z++5UXZpQnkZ53dL9NTHsEeToUdcV5UNpY9OTwAd9I35ufehx4ebD181vOAagPW8pxN/Ke25S6OPC3zfXR8zLQMwcl/lm7Zv6juMeyiP1ZJVkOtyIhnGyN31dW22/Or3/3PqgeFVh58/XDMmlZneyzoxtTd2JCeRYfy9381HI45m+WGpzWwhBPipDe1H0feY3znzgDdIUVi9TMpflxW9b6JBovcbQNjblft/bAMI939ML2uLAMJrjt1WLYT6tPyVsc0ipUVzROF3C3m+9C5vFW3yug9tbo/XXSyp4/U9/92rDX8H7+fWGKe4WwTF80VzdOb8w4VA3lwYgLPaaF3XoyqxQgAAIABJREFU1Pcv5/S9d03uh6IuK1Gs8ZXzd73U8cr3MQfr3tnHq3cd4+Hze+riQwUAnx6uO/zMS5/APa7svfelNJ7XWG/d5XZ693DNunNc8+j5Txeh8MRwYvv6xS5eSjvr3vmJ7BXW+VJn8hzm6+iH/uZP3tM6/8jZfx+uPvL0IoxHTDCf3v3dNTXuD/ZIXVu2T9g/vub2Wgu9fvreXzc2e7ZdaInoz275++iZf74iNcbQ+6dfdcc0775+mfslOub7ofc9H/M56dEojuV9C630NT9ra7KRiT+VOR3ToemaBnKD/uqcPipCIpp33fac3um82uBavs+et1vi6LaCH2yX770PzyVzK39zv3vH1/EGtdu7Z9161/X5c2rrZMmwe2q4Ybh5r63SPZ956tLcPKnG9/mmXt8eHj5TEildNZzYvXqSafbiyT2++US6ypp4Ivfo2t780UaPRnKudx9r56HdTw7XbD9tOLS7PolafX5Z61rnrPl1/Wd/6Zq8j/yc97G3pte9s7977V+h4XUvJnmS497fi7vnh0+f+vsrkt4/0XX3hV6/AYRf6Ag+xfcjIBzavumSAM9T3N3N4zcjsBmBzQh8QSMgoHrh4oNXpIAAvb/22IsrON58NiOwGYHNCPzvPAJSAJ7c+dAVSe8v97xuAOHlHvF9fh4CwjOvuqe6EEVqgeL2qRIUu+eKST60SUuaYbozWfaSNhPtLX+jrSaIoIXyv7R5uDgreftYKSPZTbi39jRNtKXzh3eL+6ppdtF8qd2drTPDp85/cHju4a+u2rC9tHlu7aEv2QLkbWyrPtToBqjvuf2l+B31LWdv9Xtn9cBWnC3nC8TdtXDzxcXjM9ufHU4Onx9eePH/mN10KZq6vZYh87J0XUttH9pv/7imneO9ueE+XwNPpO8f3f7AcE1xGb35YouhfDLv5WMcc7dqQfCyC/McrTHXXuuT37kvOftnXxs8up2WFnHTVjyYPr5f9Psju+8ZvvzQVw3Hdo+X9R9rNV/D2OrMoeoKrp6GA5k+vid1nmO9vuW9yjXnS9xy3X2jRjrPK+MgC09eV3WPyw20/MfYc7/2OtafC8VxlL4JEH7i8bdckQIC9P4FV33L5BHCGLJGGMcla5/mQHPhNJ856lrFxnkVLdanzvdoZWPN9PZdL5Z9iUbnPZXb0546vbUzfGbr48NzLxZvmDGEoUcfnfb6mlVWbX0Ik1CIRIxVuCB6Mh6eL3dbPpneu1usP3PVYXzuQkt7PTvlOlfEz118fHh0+5HhBcOzo7+jK567Z/fmIfZNfJZc/XF/XefO722TE4A2PW409+FS2szX5P6qzQe2PjFcs3vd8IyhVKZPn971T7QfPp+xLpZdQ5fGuZevq2VLbnfltdZL8uRt6fqPbn9oeM7F5w9XjVnivQ2yC+tvptNa9x4a1OPtwRWaa+d8DxX3z9FtH17kewGaoWPKYSFexAf5qY7nePz8VuzD4FbBl9yDzel/lWaLHHv/qb+8Iun90jo7qOMbQNgZ2be//e3Dr/7qrw7vfe97h0996lPDn//5nw/f/u3fPl0pn+ef//mfH37v935veOihh4Y77rhj+K3f+q3hJS95yXTNzs7O8BM/8RPDn/3Znw2nT58evuEbvmH47d/+7eHLv/zLp2t07w//8A8Pf/EXf1GPfeu3fuvwG7/xG8MNN9xwyfPtMYS72yVlzLjpcuyfGmxCfGxwRaB4LKESzpCMIMcg0qEaAzjGKLVMoI0AKAalxVa0uBJPQkBbJCEgkYvHTukatepxGi40qH8nz18Y7hveM3zd4TtrnzyjKARdsQS5Bo/OKXGBPvi3t5iG9i45liziH9vUeBwEcQfeX49FyOdrH1Iikl48h8eA1Dk0d/wPnzw/fHL34eHrrvuyrt9/EN25EMCYTnNgKy2FidUz+Xod84Qrfr4nCF3yQn4SF5JU5sXXHRljFVZLTHiz3r88LrzrtM47L+OHmPtcQqTOkVQmNYlEfF+Kb9S6VD+IHYz1GD3wbLY1xs4mR+0qfuNNZ9873Ll9ey1MT2A/e4QMcdxHnKxiWOq7lpeJ/q1+dA9JB/SeisX1cgDEbHkSGR/PnF7c4wcVg7ZzscQFFlDnte3IJkrJAy9Ir2M7RUusbMd65n6XnfhSpPeKITxSXIXreIwCnwtpkTwsaDX1HJ12x3pXsiDFZ4fyoa39iBevQmJZJFE3MorMkwGQfX+8JAnzGKGg5dFarNuWlbSVpFiNUyIBjMd2+8r0GMLXHn1hfeYqH1oW4lVSJtZytJppN89ir3r8n8cYZhqg3xFj1hwB1RZJyGKc2/M8wUxOROKJZ2KPRiIa9uhHHh2G/zi3M9x507EpHpt+s/88aUnmVZkOMQ69eMBeXOW6+PIcd6a2/XnwP48XzGPu853v1TmVnfiykmX0hWOWUb/f4yZ9fumHv2svVjSvtXq9H7T56GWJnfpi9yDPsBc8frD2C0XEyAe8rx5DSDvKMnp7SSpzQ0kq49fCH+DL0HWPRc3glvg/30exVudJqmr24vIA1oOuoX34hPMQeIVnKD1TXvxIoRP61MQx5a+Xmcg5HnKisbObpDJpJR7czw0g7Izt3/zN3wzvfOc7h5e//OXDd3zHd6wAwl/5lV8ZfvEXf3F4wxveMLzoRS8afuEXfmGQUPGhD31ouPba0F790A/90PCXf/mX9ZqnPe1pw4//+I8PDz74YAWZhw6FZvJbvuVbhn//93+vwFKfH/iBHxhuueWWet+lfrzsxMWy6QQIWymJ0MBQj9A1QJH2JT6Aw+u3jxdhTTqm0BaRXVTXeC3CSozqsSAg+tQMpkVwQ7MEEfRgf89OR5ryWpOs3h8fz95WnzMSoyrYmHCh5ympzD9u3TeoDqEzKydUTgg90JwsdRkQeoICZ4oZDNYxGaUDGD5B934ORpjB5ZIg4UH/LRlCPAihg3G5vwDCfx8BoY/VBALq/My1wz1NKsKE/3XBKN+zBBzHKZz+5HY5UZMGlJNLYNLBRW6T37rmHVaYnjaXrvfjPHcJHDvz8zn2/k/fR0HQ5weQ2CtCz32T4DYe0Hj7vPn4IITC+LnXk8rQbmsjZinvC5g5CTLUlgtzFDPmeB6LEE6aMJ6FHj0Tpu9jrgQCLmCRUCCyjtLXAB9u+aB4umehPFMEhP3MMvqlSO8FCA+XJGJOfxlvgcE692Vcw5IWH8AhNPGakvxrR0l7yj8p8hh7QKKyjzI3nOdaFHxkGKWurI4L8B8bBUA915Ox9CyBXiZCQMpT3DsNVlKZf9r9eK1DiKDq/KXuwQrO5inx9Zsaoxkw9RR5Tvtqe+VfTsrFnvSM067g6wFC2vV9kLOP6h0oQ5ETzXyklJ341Nkzw91j2QnmG3qcgZ3vXcYmgzov4O5jAe1wmpfv9f297ly+bqkvvTb8mAChyk7cdt0cEHn7vl7WAVjnAfl+9kco9SILrJcGmcY9JQ+bWfQ6IM+Vu/QtJ4+Bnvr4c4ykMtcZIOzxYhLrzcZde6PShKRcHGl5XXdVhgs5i7UU67EpENmfuW0vCeZJaubv0+g7CszWp7jLlU48YwMIfbQP9vsGEO4xvmJ4biGUdfDZz3728CM/8iPDT//0T9e7ZQ28+eabBwHFH/zBH6ym7ac//enDH//xHw/f+Z3fWa/55Cc/OXzFV3zF8Nd//dfDN3/zNw8f+MAHhq/8yq8c3vWud1ULoz76ftdddw0f/OAHhxe/+MWXNPNuIVQacpnocdWRYKAC9foIJMpt4PSwU2sV8gngJ8Y/B46V4Zb/yDjqnVnnRqPrJFBkAQNNsywEqk+mFOIQUEAhlgXXqALQIDKkNpYm6lQBrwKEX3vo1bV7uUQFwgF9x1oIuFvSKvLMfL+PgdrKYKFXpw4mG+MSLbj2mTYFInoZ4FKCrkmrqPs++GhYCL++WAgdfAEmdE0P7LmWm2t6i20JOPk7OHjrgc2lPuTn5TmfxqWc6IEOXd+rQ9hrdx2Ade0q93oNRR8rB/XZIpCfm8uG5HHKGmAHg86MfX6w2mHlUB3CV299TalLVXb62FGYeay7fnZez7Dn/dC+OFpe/mw5iMKH1OQIWu45gFAejDxAvhcdrmu+/KMt1wo7EHSXW73GWSWPMeuV2qHshL7v7J4Z3n3mvx+IC9GXCr13C2Hsx1XNvo6LB8gSm4E1YNHptK6njqy7QMc8BpQj86i+18yitvCDrsZCdI+Qawq9P41p2voacxwNOE2mSXlx6LzWo5oVz3j/8C+17ER9NzOBZfBDG7TvJSh6oCHvc1fu1f7RT6PhTg+gX9DxfM7bmPpWx6tHnWxQy1eshLIQqg7hPU+LOoT6zAR3uy0rguiPg8Z8/zpA6P3P9KmnNPIxnr9N67f3qde/3FcK0z9/zDJKn3hX/wtv93ngfXtzQ1tzBfIyEOxliK3tpzmAv3A4g0Idd0Dv17siQjT/Lacjy6gAYeYXefzcSpj7hCeV2vCSXK3NpkzEsyQrGzL/cv4D32ENNKW7ahqT6C+yi0p5SBkyxgJQCK2RR8hbTv/+gdD73tq8ko9tAOEes58FhAceeGC49dZbh/vuu2+4/fbbp7u/7du+rbp6/tEf/dHw5je/ubqIyiJ44403Tte87GUvq66ncjf9gz/4g+HHfuzHhocffnjWA7Xx67/+68P3fu/3XtK67JWdAMS5psbrD+JvThyGP+jYGEckAQx/dJ1H61y1r6PmWe6lOo5QoeskeGAp9BpUaP0RFORCwDGRCLcUOnNG2ISYIwTgMvoPYx1CJ3KZCfB+ueZVrhvoDKO5w7bRcSuhgwZd4YDGAV8PNDo4aALResEAAIpcpdpFshB+cvfR4Wuvu6l20ltwzZxrs7NlirdzJu997lnrHPg54GQcfD3l+/NbAjr93nXPpG0HhCo74fe7S+sSGMxA2fsMI3Pt/9KaWnIZ9fay0NYT4nSMOcta40wIWAOqQyiXUQncfFZTfI/tqv1yUXYjmvVT+3wCdrbuR1Au5p2tPXqeK3JCoAlASSmCnjYYMIHrKAAxwIsEhRAcMgDVsf22EPoYfKnQ+1x2ou2LeZ1YSk6IRjOevg6yhdG9PGbjMv5g30xlKsa08V6Yfr6Xmk0QJYUrF1yJl0EheA935UdkIRwBobswe7F7PTsDDdplX2EF92uhQ76+oSlqD7DEuzmN8vIVtc1RuYcw7fyA+yer7YL1aXqOWaGwEAII3dUO2tEDR9Mzx32cf+8F6LzNTIsyEMnn93qWzq8Dqd4eZSdUmJ65A9SgJMsAhutcpvB5n61V+5FrQ/bce32Osuu9z0fddyMjyrUHY08uA3tqEGrtAgi97MQMTJYf7gXFetf6pHB9rM8GXDO4j/40rml6nGl0eEadO+t79hyZxsfGVbwh86gW7hAXZpliYyFc2lX7f3wDCPcY0ywg3HvvvcNrXvOa4ROf+ES1FPKRu+fHP/7x4Y1vfOPwp3/6pxXQyXLon2/6pm8anv/85w+/+7u/O/zSL/1SdSf98Ic/PLtGLqi692d/9me7PVOb3q4AoSyPrzr+3cOFapkTRIv4j+oCMMYJssmPjIH0chNVUXr/EIuiY1gX5QSq2B2BwCAmQVpdw0wb0i7jYoRGOQsQIka4JXghYyyImTFnzZQLFQ+eOze5jGY3IfrkIC5b23QNQCtrVD3exbWG3COhQh+P9arjkzTICBKZ6WYhwS1OTnB5Hm1XRlOF+61qIfx0AYRff30Awp77iY6vA2UZkGWw5+sjg8bevZnx+rN7YDAv8nXX52vdZZT31N8Th3aHMxcQgOMu+uV98Dnw+ef6DNaJDYyxjpQdc+Y4CirluAC7zzl9d+bv3x3A67vmMtdQ9PUry93/OLtah5D1gTCtPuAWVuN3bBDpe05kobY9AY4L8Lrd96QLHZxzjbArfdAI5+QNXINGWO2cG9OS67tAihRNVfiQ50JJMnDvmTcciMb4S4XeAwgrXag0Pjw8Yu3GOnSXf/fqyPsIV1JAI3Q8XPyDpnPOk4eg2a/KvHHB+fqqfRuPu4tyjif32G/ux+WSfak+PnruwmQhBBACKONZq+AixifoPOvfaT5j4coflCIOAqVzgd45LdH3dYCw50nS6Mp8JnrWQndZFCD8zNmd4e6nlRjCuhfiM7OM1flvH/ZnBskZONIOdzrdyOvFxzorynrtcn/msevmrPfMv3/w8eFZR64aBAidFx0rg7FTBoP597/+Xj6fvbWS1673oRc3CN30v7rH3f0nq5sBQvoE/fe+5GPcDyB8hSyEpQ5hBk3Q/dq2rYmeAjAXpK9zPTIX9yrJYN9dR7MHCTGD7nLqvBYloReo9/FWCEHeV3UsKi/d1CHs7YeDOLYBhHuM6pKAIBfQZz3rWdPd3//93z/827/92/C3f/u3i4DwG7/xG6t18Xd+53cqIJQ1UXGH/rntttuG7/u+7xt+5md+ptuzn/u5n6sWxvx52fHvLDV6TkRsxcgqIqIPITVAIoXn3U2LGMKJGYwChmdhcwBIAXoXJAUYTxSXVT2tJTGIZx6rQkUvSDviW1zIAIiJQBwrFAnB2JkKwoAnlYHIiojNXInGG12Dh6VQp7xQLf7xCCO9dnSPeSrNLCbO4Jz5AB4d7GSgqPgTT0biz8nMGWDwwUcvTBbCFeLNe2cUZgsHRpTHOIMmBy5ZsKC5LCwtgaEeMKvvOjbkY5QtffkZchl95nDj8KLRQpjBZE8r7KCZeFXmzfvBfLQ9sTqQ2cV3WqMoTcZbcr+y9tiZPtc6IPQ4H/qvewQIX1UK01+vpDICe+MLZ3DryQyyssFj87Jr0fTuJmg7Q9d59dfjfuXKrXbkGh5Wv/gIDBJvFgILyUpCgJGlkOQmQcPm7qYopKqaq9SlutyA8IuN3hNDGGtWiWMuzJSBbd0GDa5rfOIFjQjgmutZDnEb1XLSvJBUxve60+w4H/NI4fq2F+beH3rO0eIdgoKyJqEpF1NAu/VsFcThMnrHoVunpGCZ7kF33GPEC9Vrb3Auu5Hq2T2awPE6hmVQNC49QMHxGOsYc/jLOm8DtxbGXom4NT7EEn7IXEYdEE5jnUiU0+1otylAfZzXWRX9Ot7fn9ej872x6dGnbHl0ej8pocY+65lYCBVD6DSRfmVrF3Pl9Lf3Pg6aYu7i40l9FE+Y54NrpBzUJz/f41WxDJJkrM7H2CD8AP6m394W1ympzCtKUhkshByfF7tvMbSscwdebtGb3keKTfMgcJdPXNG9PyhWaCvHDGaAG2MTNF18wD+eQMb5dfAVxSPLD+3cpjB9XrgH9HsDCPcY2C82F6IlC+FLTvznko746vo2YvzaRp4OWMdxAWWTYz0kwYyXCwBMIkSQfRSts6yGAMNKGE0vObcubFVAyAdBD41y9DdAIckoEDYyAHA3Id33WMky+t6SZfS1h+6sxGNOiCJAuhH35rbhQnEvqx3PyTEuPVALeOyBD7dA9ZiTCxcIEEvWQaejAJEPPBKAEAshTCkDukrAk/bcmZBvgXxvb3vomuPbu4VYz98axsvfianX9RGfHnPuHUPQcwCXweTbTn56eE4pO5FdRnmOBIwjhZGfKwzb4yp778TzHNxw3bq56Vmdl5LJuIDmc5IB4bRXEsire3icIAGvN5/7n8MdBRAqJncJDNZ7ysJ1a6Bba9o7tkQcCOgkGdDvnfI8d9fOwhxjnt3APaZQwgBgEIZP1kq5iLLvSVyCoFFdiiZoqX6evWwxhE91iMASvfekMh7vXee7qpYiMyhu/V6eoVrMyn/ujlvpsGu6ym9ZBTUXAoi+03H3BdTXe8eFRHIZ9wQJejpPIqU1CH31teQJZtz9Tc3nGMLo8zyxGe+lv72s043/zC1Kaot+sD+adXJOP81DewKHTuvZUw4i2J8OGn3vXUos4Ycf3epaCAGHSzQ9e45kWuHCfg+IqZ/EmuVrda4qgY1W8V6MaaUN5Ty8NoNIfjsgZG79eQKEshDecrUAsz+lffd+elhH73LGoWcZ9Plw8O2Jfno9YA44N6e9c8tmnhfnD5NlcWxIv992ugFCH+8ZeBSYHO9ZUhow3o3HBiD0zKDMXXN7DnpBwif2hlsWp3e2MAL4qRT8KAVRKqp/rjTMZVSQRU5fPD38/QF5hPRX0ZV7dAMI95j7pSQDP/qjPzr81E/9VL377NmzwzOe8YyVpDJ/8id/Mrz+9a+v16h8hUpO5KQy7373u4dXvzqSouj7nXfe+aSSyrz0xOuLa6dcSZr7EElhvC4aghUxgZXwVuFh7m6EJRFBwoWMuKfFJIkA4VIUhLyRX2yUrkUOF564JhNjFx503sFCzih3smQZva/EECqpjAhUBoUieG4NzEzELWNOJB3cusa5EklbL2p7SWMMmOUaX2YuFGQBgXIFPVdW9+fX+Q8+WuqxXXxkBRDyLBfCetrT+j4j1c2gLIO7vE303j2wxpzpbw8k94SWuc5w/qSeAELbby2A8NkFEN5WLISMd+7n1YfDfbT3/hyDMdKu/9YxzUl93xFY9dxFY23EGwM+HRDnsebZWYDw396/etyYvQDhm869uwDCV5WyE4cm4b4+f+wnYzExflu8PeUG17sW2ZU7bV3FjCFEsFa83ESM29xKqL0uwcDjBnUdYNBLHfBcMl7y7HNllC8nICSJ2Bcbvc8WQsbL477rHFR+4J4hbYfIFdfBt9NxaLiHCGQan6280PVskcBFFKDlVgen6W7Jc0Weeqw1/HgxI75v9yPDqw+9qNL1BrJacpq8/zOfij7OMyfCF6Dled+4Iiq7h2Zazl7IJYXqXIwvxT3a0w6A657qJJnBYihAqCyjX1uSyjgfmvbtAiHlMDQyAziEe6dRjDk0yMFVpkt5zHvgbx0Izff7b6e7AoTPPnL1cMs1/Tt0LYrKnpIxz+vsOalJjyHM33ug0Pka4w3NruNq3NB5rt8nvtHjxwBFAcKXHXrecH1JKuP8zuWCmdfWCNLz/GYgSHIwnyP1GWUnnlPZIya7nnqSsbqW1cY4rlkxiLcIciCx6HVtlrsUS17jDcv3sxd3hnec+cMDCRFYt/auxHMbQNiZ9ccee2y4//776xkljvm1X/u14XWve91w0003Dc997nMr8PvlX/7l4Q//8A8HuXjK/fOtb33rStmJv/qrv6pxgrpPNQk///nPr5SdkCuSYgr1URzi8573vCdVdkKA8NhwYtL84kakjKIUHc2xhc2FKDhV2BRjC3Ot7lemUncfhVnLjUuWQn20cbPAQIIZTzqThQW34qkdhEiP4esJ7rpWLqMklakEbHR94K+YbdYyQ+jcEudxHk48HRjWMZEQktZLFiZc2zndU+6jXYSLDEJa+2Ucy0O4vsess8vof7r+xonh+H1ZEPCuO6PPmsq8JdYx1x6QzPe7G5bLLC5o9YhvD+S5UCNAiIXQ28pA1Nt27bQLObrG58aTxWg+EKIY+567aGb6gOamTW1MkjT26+I+6XcGgyFEFEB4NiyE144+ye72M1sH5Xr1F4EjuxIhXDpozkDQ3YIqrUjCJz+x8vfcRpVhztckxa0FCGWFagBSiQdabTxcSLl7Z/f08J4zf7JvAsKXIr13QJj3ThR7DiWBr4mj5ZgANaUoOAft1jnoubuJunWx7ZHlGrPEhuMipt8ZFGquqVnmdJV1Gjyouedr3z1WJF+Syszp59w7JCt03FKSAWGmDZkOOL1xpSHgEWGdsIDgYfMZcUthPp8Vjjl7pQNELISv/bKj1a10Rs/HH3lfcs2S0s3BIXTG4zeXwJ3zZAES7kEZ5XQW3tbjP5zL/c736zoshCSV6b2ru+byPJ83aNelAvG6HlL5CY65q6grUHnuHKjFfAEAM0/QOa+R6fQbHiFAqDqE15YYQtalX6c23GOlpzSgD/VayWxlw8FP6HePd9C2u/L7+GuMz5YDKDvos3t9eQ3CeTvBXeRurms8lly0ZwMI5/TkIH9tAGFndAXuBADz53u+53sqwKMwvYCcF6b/qq/6qumWM2fODD/5kz9Z4wm9ML0SwPBRFtJcmP43f/M3n3RhepWdoOagLHpKIOO1BysxqGQgks3w211GAYUqRcGnut+UfwKA/jeEvgaREOJy6vJKQMs/kg/AoKtFoRzPlj9dj4aaxAVOaHA3erRYCAUIVYcwEzN+uwAwXaP20+T2khhkgUq3AGCztbFpq5tV049VoUcAtbThIMq10iEYzctP+HMyGMFC6IDQX2tJ2+jXuFihfkHI/Xhmzs789AzP2kfbPQbpAM8BnINe1kree80K1ZKt5KQy+Z4sCMQaDBfS/HEwmAW46Z1GqSq79a6rN4jAqL54pjeyx6ntnvsPxyg1oTEidoOkLwKEiiHEQthA/rzcBLFD3L/y7qVvWB/zXGRhAUEet58saDogzMofXEZ1XPXvPI6ZPimZjOrf6S/JTry/une/s4x+KdJ7JRFTHUJ386/0yei2W/eg27meLGPsyjy1IxqO5VaaeqfzOX7QXb16VkIK1avdoHfz/QedhFZDg/DugDYry+j/N9w/3HVYFsLm8sr6mOLlS/NZkdZT5lVaM679pULyre22CicQZ4oiQKCDwUzPaSHT/Ol42pjZWgggvKckldE5AAn7rKfY6dHRfCyDCuYJgNgbIweE3l4GCSuEthzwdh28535UhdoINnXuXQ+dHm4+cnxQ2Qnuy/MMIPR58GuyciB7Smhc/RoH3jnzqN4tW8lcwRc0tQFBXe/8ANqvv95HeINfq/PKMqqkMgKEefwZU2JxeS/vX1aUxPPnSqOlecVVlL6yRmiDecbrqsW6Nw7hCiJiCVmz0Y/4tHITEUagJGKbshO9nbT/xzaAcP/H9LK2SNkJJZXZ2i4FJ3Yjz6jHjnisiAQCWfyoS6jMoo0hRQKCDAY5D5DMGUYx8btWn+x07jKKBaASk/KPeBPaB/zpnMcRuhDhKYsfvxAWQq9D6IOfBdIMDt0yqPum2EpS7bqQAAAgAElEQVTTmuVg66zNdtAhYpoFArWLhcyTy9DP5kYVR5pw1AhpBoUIL//8yMXhUxdKDGEpVcLHrVROpB2AZRAY797cO/aKt+uBvb0WvQPhbCV0q5GDZQeBLkTxLK9DOJt3Ewid0SqeUB8HhBn4umVwybUsxw3mRAE+1noeWuFpjiQojC8N09e5PA46drzoZU6VUqI8E3fObCGMtRdAEGEZIUHrZdI+qz9aZ5rzURhua2d1FnWdZx2tcSTjOmed+Hx6DGFdz+VfL04Eq9Ts3tK2JzfBMqh2oGf6rjTk+1mYfq+1+8V0HnqPhfBsoeUo9NRPLzk0AaQaEjBmHxyVerIG6oNLqSyDzic806iuQ8mn71mdUuvOVotfUUIqYYyEu/Lb6W+OI0TB5yCOce55YWj/e9mJ2veklXMrtscnTu0aXWA8eJYDQt4xC9CZbop29wBIjkP2GGS1jdXNx3LOVxRv1Z4GEMmA0DOQOhh0ntRT8DEeWZmj4xnQqRdqw/ucr+uNL3Q3J7TKY+rPUzs9ax7H3ELo4NEVr75XsQKKfvlzg/bF2/cKznsbPsZ+vO9VYXR9HNycbVqHnb8yB4yDZIQzTSSbWRTffuaB4fZDz68uow7cPERgSbHXmzPf7z23UcY987tcm7aO4+iNQJIY5wOusBAvkCVQoQMeg6w2AIXwfRJabQChr7yD/b4BhAc7vgfeugPCI1vHZy5CHifoHXFAqOM7BSK2OoMRT0imUgkYHnfoFsYVxi3Bo4Kp0ChXYXcUc3Eb5R58x9EURfxfMEGEBfoM8SdmieOnCiBUDOE926+uwsG6JAKVII435jiQTFBVENmFC9wqnGl74La63XNV8WP13vE6AIJbpfydXYBAS9qzSAIIX3djA4SulcxMAAKfGa8z5blw31++GbT5VUvAr81huzprS5n73lMn5jSuD43tWx/9XMkyev3w4uuiDiHvm7XHDtQddOVxuJTkMQ6iljLHObimTw78/Jj32ddFFta0RhFs4rrmMqrC9CQEyIJSjid05j5/l3lcsPoF48+CtitlfE3pHsCflDsCCJ5ZNMBlay0DZ92PZVCA5VixFFJuwhVc5wogPKjC9P0V/8VzNAPCOk+FQotOT3GXhYJ6YXlcRMnU6l4eseeUfCZc/pkdxRfW/TG25d9dycdaOK66suMwQdO91mwGhF56Ate1eMa4j8sfkowE8NqqSWXet/vAoCyjKPNY7+6CSnsoR5i9bB3KGaa5bkl5hlKqZ2npxRZCX+K95gq+DGLYRxHmsB4Qustotlq5xctjgXm3nsKtBwy5vge8oFnTuBpSdgVcL5a551LqwAM+5zSccVRh+mceOTG84NrV/eh8x/vl/WF9+RgtJfNhrezlmutKy2mMbUDdQpjH2RWFPaugv6VA5FuLhfBrDt1Syk60JGLMhdN16LaHBjgtzxb6HA7g89vjF+6Kyv7PlsFoo2WL1m/nGx47SKxgy4nflKO6b1OHcHW9H9SRDSA8qJG9TO0iILz8+H8tnETWwXD1zO6OTgRIGFM3bbmSAvVuHfRsbZ6tzplr3N8+Eii8FqG7EuncsVFowHXMNbwuCFCkXgREKcopiO3AUE/FZVQWQkAbzMOJv+7zVONck5O0ZO2kZ+LjLaXdcguLT3Nm8hISlJFO1hl4Zs5QN43neIGDxCX3UZ7zwWIh/ESxEDogrHMvC9SKHj+elBmkW6roSxYCshbX+7x0LtZg+/hzM2DyfuX4G871xvmtj352eFYpOyFA6BpTv6cnvPkYt/U8rymo4y50cp277c6ZcItjQkhwEJg1wS4M5DnAsodwlK2DMbYBCCk74ePj46m2cBXNSoW2VuZ3+5zisupCA3NJDNjqXEdJiRwz0tZXWxnTuIyrBa0xf/E6IKOxQM0GEF4/YCF0F3+n8Q4Op3EfxxhXUtxEGdtM7yJTZ6stG4BxpCMj39BeIuuoznTd/8txFIVcUy0FZXPO+My4MbOisd5TDp4shPT9pTD93UdunRasA0J3f9MFKPAARk4LcEel7UwXl0Ah9El03GmOvuM63wN7mc74NQ7S5llWmxVL91OHUIAw9m4ZvWTp0jFXVq5zI83KsdV9HL1esur58cwHcFPPCiOnNM5vnedMYzVOAud6gLAHBPP99R38weN3jw3Mp3uAMMfkuYfERMPHQe2FEWQe4PxRgNDnA8uu34OFUC6jMf8tcyvjreMeGpDnvycXQtt9DrE0qj2Xn3ycRP99frOyQdc6D3AjAJZE0YWW2CrkUeqf8iwlEdu4jHYW8AEc2gDCAxjUy9kkgFBlJ44NxyfrXi4hkbOK0kdAIIKFhAWvS+gxia1MRYsndOajNhX/o9gT3EiDGAcBI/4u39MAViQfCDeVECr1W98hNqGlDU22yk7IQvh1h+6YCBPa4cwAVmMFWqY5iGvtY7kxC1Y+n7gixXu1j+47Wv6dHV8ugw4sgGi90TZ720vHcgF0BHvFEH7mwmPD6266biXJB+/k7ow8yxm52pZbCx9nSs6MloCVrllyMXVgpPYdCPJdY+bZ1XrP0b3OrBhDXEYBhH5vtj41ZUITcI6W0hlixDDvrMXP+7jnKso17prljN5jSlwL7P2TILlT3IRyghnXnNcxsHEAEL5yuH249vChqS6ba2FdSPB38ePrXIwYd/XD04vzPY7P42L17lgGpzU1aorZM/EeMUrEi+BJ4EqkeH4kGcAzQa6N+x1DmOf5i/k39P4Vx7+rxhDi3u/uoTkxWIy7mXHqWmoJwbLrmK4XHUc4q/ePREegkDqz3u6k8BL9Ht1Fq7BXrMSi+1gIdY9b/ty1cwKxBgxZ88eKnjO7jDJPbk3qAVJvF+C2tDccpGSw4fRFe1bvQVyw2s3KLF0vN3VXzkHLeU4vxIB9wvtll1EAoVs8216bzzN0w9e0K6DgS3slFuN+p8Pwq57izxPN+LPzmC3Re6c93C9AqBjCF5bC9M5beIdKT8Z5yGOj34oNV9zlXiU+sAp6HcLe+OnYTOlXfix5jWQlq68b3jWPYwaIb925f3jF9q01hjADQN9TjEP8bS6a7ukUCsl4giuC3ILrCnPe38sPIZdF/1tZIq7FWwQ5yXmT9vXMfXRUMLlnA+1sksr46jvY7xtAeLDje+CtIyAoy+jxUomwEoHyn5ef8AQyWAM5L/CnYxIsiCfUb1ka5VqaBQ5/Ibcc4m4kVyNp9SE0nr48CHeLZ3H3UXcd9WfMrIilAbcEUnZCSWWyhpc20ARnV5rMiN0qs8SkHAzSvoNCd3dxAOKuo2iWsxZ5am/k5zC50M6NhDvxegFCxRB+w003zLKSuhWLEgmVaMv9qzSVASHnYEx50fZAYr4Gi1dPwPBuZy0iFii/JmueXeDzc7IQPmfrplKYXu5y8cni0NLx3hjU+0sDGTBxnHfGApvBtM5nEO1gl/FFiEAolLCbAaGDQVegEM+n8VYdQgAhfctWQN7F/8Z8N8Hc513PRZjir56FlT67bZ8d48bQ+OIKiLuQCwF6jgtqxIxQ606KpGmMKwhUjFsAEAc5mxjC6wdPKoOizscu9kLsBgBRVZZZMjFcSbkWWk12aI/nPLZdAKIp5ljnPS+P2C/js8s9ZBn1mCEX4l0Bx/rrreeTRaNCltG6liZa2XfxnxaTXetrGmtctsT7HnI6DR0H/NW+ln9uKYT+cF+OJ1SfctIqVwRm3tN45O7gWUb93bKl0M+5+2m2cPl10O9YC3PvjgyM2zpb9TjhXLb4OQB2+ud9mPXb+sDzHRDGul4NL6ENp2H5GT4mS2U+ZmOj9VP+9aytGRByX0/JqnPiByiOWTcO0HVNBt26RwDynTvhMnrt6GaEyzMWwSzjeFu+Ttv8zRPK5GdnBWg9P95MHz1mnfs1JpMFcLyH/BBemJ7wAfbMxDtnvkVSsm/KTiztk/0+vgGE+z2il7k9B4SqQyggJ0BYN2cBEkoyU4FMFayUjnzVeULClnTN+sCc1YbA4olyhjpWOo/F0BPLuDUwiILrugIE4p7kRY0VYxJEckyEkbRMIj66Hu2XCxG6j7ITiiEUwUM4gRmpdWf2fM8uFWo/M3YHTgjBwbjnNa/c1XVJ26vjzmR5jx4oXDqWExPo/VWY/tMXT1ZASPvOTHQN4CXmrmmr+Z7j5gCNmkHeJ1sA57Pb3g2hAiGoPr+uqfZZB9yyhp15j3UZHzTZGqe3lRjCL9+6YXjRdYdXLKRNYF3NnLoqdLXMroyZA8OeNYEMf7Heo29Zw6vnAAj9Ghcge25Hda50r1yNxzYYQTS7AEJ3Gc0xO7wLdaSmNsY+Mw5awznxQn4eY+9z6+/sex73QMAgFkGSj1TN8UgjqkBVRg4QEs+JkhMCMMS9xbNCgFGSgXuv0ELF2ULopYPk5ZHryWbLYJ3rcaW2e2O23X0z1mDEg/PXC9T7Pp7XnW1CY9DfVnLCU9A7TSAJUk/h5gq9x4tHyD9tfbRmGWWPBDhrrZ0vB7TeSbCU46UAnGRj9H3uew7wxz7QX6fjWfHUCwUA6MFb2n5bVfDxPN9fGRy7y2hOOrMOFPo7LIHCzDd8fLMSz3nZkiVw9sxRCbmktI211wehnNPfd44xhLddF617e722s6STXUQ1ZgLneUz2iht0ukc/EHlygjGUBwDHKnuMi8cBYeapPh86p3F+RwGEX719y3DTsaJ0xxNp5A89i6j6lrOMNj4UT8xjOJv3sVOukMRi73G6tMO46PWkKPQ4wTmgjoZ9XVGCyMFhy3K8yTLq++kgv28A4UGO7mVoOyeVkVBwfuvCcHT3SP0rQOiCQtYQh8uoxIgSqzcCSQrVc59rmoNAB8CctJej8DadMwaN4IeGOQhObHvul6AQwK+x2YgxiSuc+bow/0gpO/GPW/fNXEbnlp82AS4AZI2aa4RF2NG8QRx5LwRSrFoZWOg6QE3Pfci1xxDi3nWc8+uzO2PhCcP7HgpAqBjC3JcKHMo/BB5fimJauM9wnPaXCuhmAciZGoQdpucCEC48DohyW/SBGJx1INIZJ4DwhaOFsNdub478Xfl+tFjp1FdntNm6VpnY2AHPHufvn5mj3jsz93wNv3uWySyssDa0PzyG0OcbxUV16RnXAH3vZdzTuXw8x2PV+6VQ0LqyxYQgp78OAON5o9BRvkMHpkzCoyu4ksiQwCTGYS4aUTcPC6EUVVsFMG4A4XcNR7eOVTAtLw7RZDw6HNgpgUwV4kaXLBfMZt4NIw0PUCY3/QDlDgpJMEMsodrMNWYB/540BsGwKgNHgBmug/04Qu8j9FHLQnUIVXbizlKYHrqWXfyzxSIDQpYu1kEs5YDBHu3nHhR5CPmxJ4I/OSAMfrEae7dC63HZM8LVsxZqPA4X9/YPPLI1fObszuAxhPVZqZh9D9C44tK/21aeeZn06DvXZnqXlZFO/zPQY2zURk/h12ub59774JnqMtoDhLrG1/NqiMgIQkaXUX92BtPrLG1OnSaeJhpf5aFQuC4p/zLtJLcAbfo4Zl6q9S9AqCyjuIyqn+KZlIRAWYgchaKvjk1pPIPBoLcxuj1ex3F4EHuL50Bn4Enz954DbfJG9Gh89C9iCTlPHVTRGMUQvu30H+xb3Vlf85vv8xHYAMIv8RXhgPDQWJdKQHB7jAubF5QPzlNjQ0YgKCughKwoVhHncRPNBY5xOfLahv8/e28Wa1lynWfum3NmDVnF4ixS4lwUKQ7FmaLkNuC2/dSwG4ZakLvRgB5sQW8CZEuvNmAbMPQsQfZLS7IswQ03YMCAB1iWTIkSWSKLg2RSHKtYnMShBlZWDjenezv+WPHt+Pc6sW9mkXmzKOQ5hax7zh5iR8SOWGv9a1RMDy5dEj5y/J1nq3OBHYFBYJBU5Xq2vrv72ZomWX3BQqikMhAnB5VolyU8eA24TRtpLAJ3+YRYZu3uSOPMEnKLpAMRFw4yKJQg4VoxtNCVGLeGFYfiwE7fTx3dL4Bwf/r63jOT6hBmd1Un8kFwO9hx5pUthYxlVGTd58StjQ54PBg+A3muG4G0Ov825tG29HnS+YMshIxZwHdkJeV47Idg5nmOR32grQzyDvrdQVy06POQXUp5pistnOG6heO/XflodRlVllHm1Ot2ef9h+DxPgkQuhMycef/0HUEg4nqj/4A/YsNwEa1t2IOJFSFeRL9JIkAsGnRH4BDwQhmEhbtshaR6n9e2gLDEEJ7aOT0r+6TMQ5EXeymUdnwAWe56y7ty11wHeO466jGEaPN1f47ZwzKHdZASFDzLYwkzLZwF2bbG3IKt+x0Q1meXh3TlWXcbzTwo93MEiNwSyXdKUWQ6FvMbH1dejUDhPP/tBucFI68PjRng6PtQ8c6f/u7O9J2rlyfVIax9sILpvteX+z4ePKqhB/Dxv37viF47LfN5yc9fqnU2PWTW+nvQcSyEry1ZRtcUv/n+tYytG/1t8pLTG12TXSQBatmd0vnlMNmMPRCFAvT3IIVi7YOUcANA6B5PNM/7mfd7VeCFZ0WVAUpD2ZVc90LPfVzukko/9BceQAxi8JTw8hrFDUohhFfIHFLQOrwsMxQHUV4RQiBA+Ee7/88WEH4vm+Y53rMFhM9xwn7QLs+AEJdRuYsKFMryl4UDNp3cRL0OoY57zKBnqpP2WR+1Xy0F1f20JLMorXvB+tM7pc2m6dF1Sk6wQaTLgdAQLmtV6TrXJnOfGE9YDBugLTfrK0llKDvhz8kplxGkRUT1vQJEu8GthN6Oa0qxvHCeNjMT4Xxor/vHtb8QVm+rzm+5Qcz/6l4PnD9ZwF8I4R246FpiCMkyCqH2WBeeswAsxq2zBVG/EUiUBCVcFpfzXtdPeweuFcyAjWt8Pg86Fu85rs5z5VpU3snvPxMuo7IQugbU59aBaz3etLhuca3jMVDIs3OiBQeWawCQfnKevxIWPZOct+1tqS/xnOUHrSxCs6wriiGUyygxJf6uZ6Zt7xp3nwzI8/NrHxZ2wKWVM84vheJYE5vuVzo+J6Gp8xzXVcGqWa1IXhJuSEcqYJy9B1o/nBZd3t/dlp049X+XNR9u/tB4YsdjPYf7KPGF2XWU2MwK3BZUqq87L0DvdWV5b2Rc7pbhpcVQLbm1Qu/erYQogHKcnSe/oDfqpxSAn9n5ci074ZY81r3+jsYS9H6/ZLludKyuwQ4qsBY5PwAMIryz5mNM/X6+Bz+L3ua2uafPbDx7DRC2JJKzux/79QvnpulbV3env/ZAKS9lVsEb1dKrfbfEYd4P2tHYvT7riE4zNuYi87YxHYmnZfDo9MP7wzzm5+s3FkIBQs/GWvtV/oUSQgqj/rSRm6gfG7naOu3NfG5WeC7oan9e0Om+RpzO50Qyedz8dp7qx5RllLIT8U77uDO/0HkshNBO2pqBXOPvziuQj7x+pBe7hw+N+L/aJ6GY7yWvOQhQRcmoewJExoR6nDFeCltA6CvlcL9vAeHhzu+ht+4xhNVC2ECgCwQCc1gK5R6KhXDUOc57bIpf5zGI0udLkw9BhghJqAuhLwS8OB6sGiBYiUcR/FSvsN83TpmtKyL+aKkRVtmJj08fnX7y6PsWmmoHcbk2YdYEQ1gZI8AQi4oDDQAhBHUta6qDS/oCy/DfWTBHO3zv8b1Sc6sIxgKt5cbMeBEkPnsuXEb/1xJDOAJSmXn52DIAQgupeQDIkhXTs3COXEqV9EYulJnJe7yE2uX9+3hGmmRdSyKdnCXV50yA8OWKIWyAcLSeM/CLtbppEeRejf2uY3sFZO1N37hUktW0Do7GXdeO2kuDyGDP58UtqDPjz5PQOgOAo2+eHEQM+w+ufWx6rwChzH3WD/q8fN9dQGBNZ4UGbTgYdM3yGvj3OLOqgS4P9uQBXcseA2U+cBFifNTCk5uoFE36uLIJT4apxBB+6A6PIVTZCQBh0M9eO5b5zInFcgx5eIkEzRUdrhmmC03uFgUXdCOWELdR/cXd1zOPRjvxCXfMWAueZEZeIIAwPQG6yt6elQEG2gCEiiGUy6hqxc6KhsYXiEXUswVWScAEwMy8AGvJstRD9N33CPsCWpzPOT3DSpgBkNMt52OiT3cf3y/0vt/h1zrfECB0C6H6dRC40TkEcC+wnkGT2iGEwIEF9/b1tLSYZSWcz9t8T3s3o3N+jc8xx2Nd92d+6Mnd6WUnTk0ChJzzOeC7/uZMoRlA+zPuPn690Pzr07cuKV9C/2wo6tqpTLczb3By7jRT/NRlk9pPvcP2N2dszvGGAoTvPPbq0tfIMgoIVju4/Aew7xbBEUjX9TnZVxwLINt5XgzYwRvt5fs1Di8xgSJI10V/eqhQTk7limT3PtOzxSNkcti6jPqKPbzvW0B4eHN7W1oGED506mcKc4hoQHcJqOUkCmM4vV/AYvmPIvQUpw/CGqUmvB4hhY49/lDWROJVXOPs8SkMetbYVVeFzuyIP8G9YOniaUzRCIjarMXu0fA2inuhFKb/hBWmx6WNPiDMwlScuYiwRRHg/pqyGwhaaBc0/KXmJAhOTLPF0YUJGIDaUsYxiDEMVu1ksJhBoe75/LlrMyDMwGSOvSnX6d6RtSu7mebxj6yHgFbi7Ub1lpgj+pRjZ/x8FpzqeiwHs6unzzvZPVWYHgsh9+VNlwEhY/K/usdBFHNPPOHaGGH8aIV5Now/H+e3v38YLO8+v6d5P7WH9evCQihASGH6eV6bsOBxMgjZYs4oMhAiPE7LkxAADIQ3r5SOejwoe0L9175DQMA9KLT1AQYQskIAVxZkiqBHjwVCvN4dmmHGk+MIt3UIe5bRzfXuuvluKdR1eIoABAW2c2KZ+bry7np9sFDsed1Cr0noAl0AMcBjrAHvEVbCeM6SzpG8Czq/3PNLCyGWDN8frEnPRI1ywy2HI4WhhxfQpgM/36eZFmNFhB44/c7XrtG7UeF6rDDMk1sIA2xvWsM6DSgjPsCKOLIYZisbvxW/eK14rOgzskSNrIk+X3mN+m/uhTevWSZ1jwChYggfbEllvJ0R4BvVaKzrLs3bvIa0HtsY16x0fX67YnEUN+j03Nebvmf+sA7a+v4gqQxZRrObr8s2Huun/s78rDE55jgnBKIfyGbwIuoN+h7y2tA9bjdAoSuAqkxmL8o9RJwP8l1KJp5D/PLWQnjQDrq157aA8NbO521vzS2EJ0tO0Cs7V2tCmSDeAQaVWAbXIRik4gyP7x+r2UV1TgCRxDKUnZivbUAwmLiylUZZC310b3VNMG0zgoMnJwjCFBrmrC1i45NEpl6biIh+V0G23IxgSlIZxRDyAaQB+NY0nn4eYpqFAkACiQvc9SK7Ybi1xfsO6MKNc1MI2gR/2SoIUc/3ChB+Y//cHEOIVZO5yKAyazYPAsPBOKMl2uWvEtpcFRAokzsCS645zhrRkZDlm2Z0fV3LBohw+8RlVFlGY82smNrqXgir4Npn7bwnj/F7R2BQCoYKlLEq2uMcsPu9dT3bIu3WtB77wXPdcqf5wGX0bEFsPj8kGVhCA9w1o7VssSBmUefQMIeFPyzzu+UC9l5dG1oX9b3EaHSPwIA+Dg4lHAAQcmbRbJEKV/T4AFpq2/XtqTROtL+tQxiA8MiO/DNk4evADk8QaPQcW90o6shKmGMNNcfu2YHWPivzWAMOCPWdxEHQcxdWvSzJKP5Qz2bdZQvVxZZUhiyjWrNeDL4DqHE8YaaHdR/UtdYTnOQ9A/BEqQYdZw/QZp6L/CyULtn6x293ZeeZDgj1vC8+uz99u8QQymXU+ZqXsXBLYNtKq3X33IrGtdmypuMAQrdIxR6Nz5olcQR01t6B2vHEViMlLhbC1xcLoT+7vouUWIfx+N/R2Djv3hhY7WItxmdkFZytqu2irJTN9zrIdDCEZVDPma107ZmunCTL6H1Fi5ytePQROSTPZygje/xgjC1CUZxfq11Z30XvsajP9LzQGtogz4PPL2AwH6u1paVgKplHmVsvSM88EzqQXdV393a3MYSjBX0Ix7aA8BAm9XY2mQGhQGAQ6aWlUMccFBIDiFXwak0sE+wQK6A2P1ZBCtfrXK57haCWNTuunSVlOYWoHRRGf+NDmnLcD2BCgEEXfD2pTGhpQzRZI4p1DprQ7kzMhQAxJQkZ2SUjWwsRtPqY+1uHyLrlhZiUOsZKjHvMCf2qIDVJJFnD7Na2z8pC2AChr7ls/crrMQNHzmfgp+NuOcv3xRwtdd4IJ8Qd5hg+tXkjjbKf9+8Z0P3eM09WC+Eb792MU81j5jdzQ6bV0RhrH9O43HKHcFjvtfcpa6/cfPXPoacLRgtgOMCnB7ssxQ2VuZd/chmlDmG2fI40yDGudn/pIW51OR4HK2EAwHhmHn8c6wNwYVHf0RJjPUTrjDXQ/8Y8LuMPJRx4wip/n9IYf2T3N+/IJAOjshMo57I3x+kyg3oXAoELC1lVjvTyE06/c6kJzTuKPN6ZC7OxpnrsIKDfM0m7C7FbDEkwg6LL98kowQxlJ8gyyprooKwLrJxzHuRKu/neticyMNT5NfqdgZrHbGdFiysCfQ3n63p/liVwfIxfaoDwJwoghA44r/P2+Z6tZKNr/JhbDkeAD/bk+13PiPj2/lkDi3U9rXQiA848hj964kpxGT1ZXUaf67jm9WDxhdnaOaLTGSzFem9yRqPyhEvwDAd+rBW3CmZXUGSB7B3iYE2kVoDQ6xBmGu9rAgA4z2EDc3nqMyDUeWSf0bUAQtH1Afua48j1jmdLZW0zFIMu/9VnlX/QE/cUcTqyrUN4o117685vAeGtm8vnpaVcdgLLH50ZaYpxEQ3i3AV6jxsUEJTbaGzaSCLDBy101eSWFjwWxd1HiSXUfRkQ6hhJCTa1st6neKoEjKyFffb6temT08em/+XY+6rAM3IPintDCM6Cr85JkMY6sql1jGcDhNx1NCc+cKA6z1Np2wGVjrsrp777mCpzX+KrOW6ScSA86TeA8K+ffUHMkTSA9kzG53PgFjr6mTW5JkYApGsAACAASURBVOfP7/ygL84g3aqIdS3f68AuAy/Gsdamt/X7zzw9/dCRs9OD96yJGHG1g8A1K6HP21rpDbW1YNKtM5mpZsGC+zymcyT84M7J9YyVde3PUVt/cO3h6T0FEt5zLACxg8I5plR9bg25MBfzPHYB4zjjGMWLjOIG5/425u81R2H8I3fRvG979tEALdClWq9Q8KZkGX1497fuaEBIYXrPGuqWwlyPUO8GXpATzcxgqPGCJYjqpSLUhruN+ns5WVxKsQSzthwIhhUuiNtceoR12azQrvxxRVsFr2UBXSohAoohfE+JIXTFmNO0tQQ5tU+ir+UvFnAvPTGySHUlZafLrgyiDxkQQsJn65/R9Kzgq3Pa+FPMTafh7sGhtgQIlVTmAy84zVabrThrFHBUhN0tZZkGjGINaSODPN275n5ZaVijMf7dE5TMg0hfcIXNff/gE5drDOEb7g03RIHQUdIYNZdjK/OzMhisfTSEs2Hta+dyuSHadRCYj9F2BlBZ8anrssLQa8hSduJMWbgeDkD77l2DlR1Qhtsn/URBx77wJDK8r805MQVgmivG7HGEy/ceN6BwYqx1PzVo6TzFFVNbQLi2U2798S0gvPVzeltbBBC+5MyPF8vW6UIkrxZicbzqgF1zXDdjBW+dFArmHSvF7K8Xp6ywKCqDaLEUFpfTvZ1madwvZSWKG6rOHSnfdVx/va1jNVtpZCGNM8Ge9KzjxSlVJe6p0hOWyZ4dzy2aarfeZ8/WtVHdJ2xN+vD9ys6V6RvXPzO9+sg75mcqqY7cZGtfXBvYXGdHL8fnhHvlZuuxmNznlkHctTiX3bf8eP8e72AksMX8hcgwisvMws43jzw5PTM9Mb15/0cXbmN+f8zXjT8jbR93uaDpx7y/PDOPIc+BWxc8gNzncm0e8yg+vfMX0/37L55ePj2wmLMbjzauyOPKAe31moSOXVgObWcXfBbWvQZkopBCuFq7YmX0rDyHnoVT59DO0s4X9j86/fCRt5b44BAQcef28XtiEVzI2Rdr57QHWKPsJ/12Gx7n/W/tf6MPsQ5ireuYaID2su81nddxpwH0HXoi2hLeCd3z4dL07PT1C39wRwPC153534pw1RQBiTZmOs/vYyVE4NqO0elGb3lvOh9rsM91fjfQb18LOVc0tI2143S4p5zpe8LXrpSQmS5AEy8Vev+XO49Nr9orSWVa7UXfEwcqBcvuwF020uaEMtNdaJeAeglofE+5J4zXa8x0J9PyGGd8PK5+uV+XrWBR1Rv59vUL07kj56Y37Lxsvoh2DqLxTttvhhfkcQTtiQ/3o+Dh2hs9wy1B2cKc++TP8ud8bu+b0317904vOXbGxr8Ect53fybH87Prej9AAwpN95qqI0uou8Pn+ctKm4OeF3O95Mb04QtHPju9Yu81RWKLkCA+eZ35/vH94fc4PyJUSHtqIQtVih99UXYKvMjgad6eyzS0Qab7Wgat8QJkOacD8JYRT6k8osi0n7n0/92R9H60Fw/z2BYQHubs3oa2AYRHj7ygaMUOtpTchu5sH7Gdge0MbGfgUGdgvyShub731B0pIEDv7zn5YKH3N+8qfagvZNv4dga2M7CdgUOagf2SaObZy5+7I+n9IU3parNbQHi7Z/wWPw8B4fSJV9ckA9VLW3W82nc9Dsuf/uqja/j4Mb7nLh6pZSQ2nSx0/Ll8NqsOju++WUFnr2iOLl97djp9PFwm+5iiXyPL4s30F837XiFE/tFxHeM85/Ixt2aO+uXH6OOoXzcC+Feuny+uVJenM8ceKHq0TeFQdpnR8ZuZg78K15y/9u1iFT9T6ovd/X13l7nS3+/no7239hlX6YurR+vK2+G8r8mLV5+YTh07W/f6rfrk9XhQn/MzxbjZu/rOx9u8UXvQGWiLfvOdfXV97+p08cqX7kgBAXr/wjPvnrM+fb97PNMr6HR+b+F1IivCjfcI1436lr09bmbtiubKUnBp75npzJH7N2jwzbQxpLHNm2W07unnjfhWtnbwHD9+UP/W+O6C9xRr7u5U6H3JE343HhFmjR+1P/IQupl5cmvPzVx/s9c813bz9eem70wnds5Mp/bvWnjZzHzYPG8qTW2/3ep1o77inXSj6zptU1bM8Kxa+2TLl/fX18rIMu9tXth7cjq1c+9i7fsadQ8q3bfw6BjILXM/0rks93gf1uSVEV0/SP7I/PYgOUghAt+5+PAdSe9vdh3equu2gPBWzeTz1E6uQyhXx0yAcCXDdO/XqNvHK5MP1wC57CjWJH8iTrC7FOBek+MJVYequ09EVitcIMhcp2tGdXA86xz+5F7rD/iJ//sz16+WmJKPTz9R6hDmuI3cf3f/XLh9mr8KsSq6dxRfgt9+zhiXk6ScKM78StO/HPumWEHMlxdBVhwA7RMvmOMTOf/5Z69O35yenn7ynhcvajTm/njcITF0o9qCB2Xh7EwsJmyULCYf937nOMUYZ6lRVNKZj+IaPetedxheOheRZdSTyvi1eay+JkZxfjofwfg9Jb5i8XLfuS6Y7tIlV7/9Hk/UU+8b0Am1n0umENPB5Tm5j9pRDOE79t85nT0uh54V19XSts8vyQbYa6yVubh4Gz9xTRHT0uM/YuzLMhN1HlLcINfpzlxWIseKXJZAYo7N0JacDEVtKhuyFEEf3f3tO1JA8KQyJ3ZO1uXhrsWi0fooBnwZH76pvMsZSGP/tsRDld4v9xsx4R4HpNhwPu6q5hlJB0u+PofahPruLpROy7U+VYZCf58tdWc/d+TR6V1H3tAy3vYSKmTmrLVba9s97o+95DFWdaztQV6mIscZ5phujyukDdwQ+cueyuNQW06Luc6f4eeZN449dn5v+va1i9N777u70t/5fPK55DmcdxfMPB6uyfHFo+OZxhx0j9O5EW3KPCq7Yfo9scZ72YnXt7ITOf4xaE5/r5nGu7trpYMpTiLyCcRag2b63HkNWd61ksWQCC7oeMxcfpbvgfTYRQZT4kZHmao/fOXR6Ud3fqTEjBeoX9cSWdd7iz5+X/d+XHtEH7Kq59hQ6nN67LquhxewV4kX1LmZf7SBhiw14BstlMLnSKEXcr2uccZ1TKoxGr+jnSt3bN1ZXze34/sWEN6OWT7EZ3hSmZ0jJS9fIWgCaR7rtEhXX7YZ5z25gJg5JSgkiGWfcAAhmUhH8VeRsdTjpbqAwUZ3IQVgFwxvEzDNQms5r0QESlusYxIQRDDPXbs6/VmpQ0hSGabZ0yuvZZbzGmyjpDIQZhemIbB6vtfmyemc1Y85oYDmozKaLqjQz5EgIMKdEyb48nFmDyD86/e+eLHCXD5QkoIRSPIbPHnBPIelH99rttIF87N28jY4UWTXK0X34M/PSXjyPTOjLu0qqcwrS1KZN56NsgueBXX0fROcxUwBAmFSqwy7dUZCAO/YQW9m4oDFYKRxD+OLJBt9XegchbTn+I4k3CyK/ZYGPnj94VKH8N1VQPC2mTNP8ANz7Uw2sul6n1nHUoYo9filsuBHc6NZyxlG+7pJ2ULLgClAL/BA4XOBCzF9/tb3UP5VAcCEXeIliS3bJpU5N509e3Z656n/s1hLTs5g0OMGs2WortUWw0O8kOYTes18CwCuxeE5jYuEFUuACQCElvu+HfmROBiMvdSThul3JNyK/an1qL2hurN/0ZLKoLw7WWgIZVvIBM2zEZq9LwclHhsBHMCl7y/ApgOHmwF13o9RAfvcho9DAPBL50vZiQII33/fXYuSQIzbeYO3pX5SQmBu0/abjo3KNoyKu68lnfGxdVoQSV/4HC/1DKUAfC4fzT/JY5Rl9CUly6jKToyS2Tiw0TO8jMVMf9PDnS6PEouNwKGa6Iq0aJDfzht03OkrvKuupdYPzYbucVrtsgcKDo3lj69+cXr7zmume0S4y2dW3iQ+4fLeiJd4mSPWsnjLldZZ5tEBNVlFtS9D9on3qP8rSZMUgshzlCAalabwceu7+EH+wCdingQWr27LTjyXTfN9XLsFhN/H5P0g3AogfPPpnyrBxqcq4+fj5SHE/D2oXuJAZO2LlOQk8hAoDDjYtDv1XLSJSwPC2QJ4lescJOq70sYjPGAV8OQhEiLIOKenYQ2sGttG8OK5PTOdrkeQPt+yjMpC6CCq3lOBVRAtJ8TZWjJilMyfW/CqlXXWeHUBfyR0QMh0j2c2dYbjGuysLXUtMd9HVrQvFgvhXxYL4V8rFkLGOdJA53V6UKbNkRbdQU9moGt7wIHbGrB0De2IITqo8+fQx//2dADCN9zbAdGNwC3tUEx4pAkeAUKOMX4XMNa0wQBCzy7qayBn3Avw1WtFkSEurzv1WYKCZxn1dn398p25dAGFtd/HEky9CzsxahcMYm2H9hdKUzXK5T6vORj3hWgC00eI8EQcWB/JNFfXcdvz+nvZklVpP20thB0QUocw5qzT6Tr3lhhmXg9G57knru20PhR/S/rr90PbBAgpbHSlWHiPy52+af+xnqwp+uKZ8Z5VqxDewJphnXRPifAyOX/terUQquyEr3HoiAPCJbjqXiq6L1sEtX6V8XoJCLoCjz0zymwa7XXBX8/lugwYoRMCgzpXgVrbRA6TvO9Y6nVMFsInru0WC2FLIlWOsa8Bg9Ap70N91wMclq1w86TaFwCdW+MyKBzdx7GRdfBG93OeNvitLKM/VLKMvroAwgDqAiJNqdcudlCPMsvXY6zfpYJulOk61uJyZNwXsspSkci1XlPQr2f6XRZR615qYpTbxhWHf3RlCQjpnfPnaHPZcVeW6vkAQleK01YFoHU9Zy5oc1bnJkCh/qqPIw8RtxIy7z6ja4nVvD6trr9SLIR/svsbd6RHyEF76zDObQHhYczqbWwTQPjQqZ8pGuNTFeBh3fO6g2RUczchCVf6RGXBDui8LIWAo87jRpqzxOn+5b09VTzWwlzbihIUCMwOBhEU0CAjFMdzOsjTb2mMP1EshD9x5D2VyWfNWL3HGKEL3BDmESDMgkVmDLzeEUjzTKD+7BHzdaDEtZ6CnGMO8rzNzz17Zfr29N0ZEPp4MxP0cxkQelH2DCxGAOu5Lm+3zK21l4Eo/V2be53/79/dBISjvo1cTr1dPVtzopTi+uR6UM4al1rT/jRnyu4yyrhgwho/1mIYcgaCMGQXKHmSz+V/Ly6jshDebUUuPU25z/Wm9bIDzyykVKtc0jrHvHTNsNcJRRiIdxZCAt/D/agJYQ14BFAMK5MLFjpGmQkXQFFkiV6J/lzZ3926jDYLYdDFZfZod+/vsC3otGfVnC0MZpFVezeqKyvw527AowzBakehATOtbF+cvlOrMsbQFIJN0HZ6gGIPC6FcRms/dW35W4FVo/Osf1fm+Vpeo8/0gfaCJnTgqvMo8Xwvez8BZRQX931FaYraTicbq3VnvX4hfPLxC91lVE1EeYZoLNNV+hL7cAluMl/SNVkB61bdg0pLxLMDmOXagBnY2bBnIOf3rLXFfX/45G4tO+EWwpELfh1PmxeXMWgnlMVBh6N+YnjRjOit7snKQI6Nrs8WQe+Lvwu1qXXU6xtHfza9WPpYsBDe1bQIvvay5dsBXayFluU6PcM9Rlgn7iqK1c9lHY17VINWx7AKStGj355RdRNi+oroiqkaklCVS/HZAsLlPB3mry0gPMzZvQ1tOyA8unNidrO5WtKLy30UAIerp4Qqj/vzeLpKsBowxIIoayBuWzoPOETokBVQQlwV8NrT3PVL5/ngGy5BUNZBipRWRtAukgXQ61fVZ5rF0F2LZCH8lGIIGyDUtcRizcC33CsPC2m+RpauETDEt772a6BZFdHOcX/ednZ1ghHE/MYHzZ8vEdfyeo1CrtExZ+5fOL8JCHkWTA+GyHG57agduWo6EPSxunLQx9nf46b29EZL3a19I8uf1/LytvK1Lsy4hXCkXWVMYvp8RlpfADca5SxMZIBY358Ya2sUwIN2eAQgvQ0HO96vketxdZlpggPPjXW+aSHkHWut+1pBK+xuo1k5wt6hP1rDMPdRfSiuDwG6a4vnGnNl4yA0OCAEDOr+kbuo2sNrobqHVk+DXg9V920B4dlJdQhlIcQqJ7qttPCkpM8WQncFrfuiUVwHiSgTReOz+2inQUHBZOWlnV6Evu+zbhGJb0uAgeIldoqsc7F2uzLBvTt4DjGEqkPoINDBjJrCpZ8+578eq+70RNfRru+VWKtLaxxWl9q3RpdZ59Hf/hH/cXrBmazo8/vdMsjxL5+/XkpPyGW0mMjqnPYi9k4nfUxq50Sh+bvXBQiW/eI6fzd1DjbeVwd8I5DnxewzKITW5Wt0HLqc3VWzqyrz5YCQYwD4WD9LIMh7qAo4UzTkmnu67qpCbdpLcx7hYNDBZQaDmR+oTbcQ+pqgHQeA9fpyAkXGCKg5IFwLU5E7Z6zXriAPABchAnzPyg6ANfGDamPkEeXHeQd4iOgvCvxZ2ZQYc+aZUizlEiw5B8XVkjjvQ1sLoVGUw/u6BYSHN7e3pWWPIRQgrDEiqvtiQnAwD4Ew1ZIJQJiTOMQ1MO+l+6fOqVqY3EkXiVKqZjrAIMAPDX/ElMT2D9fJ5qLa4oYAniShgShk4dOLGastzktYvVCSyvzPI5+sgBAi69ownu2Mwr9n62DMwTJ2bnTv0k1n0zJ5MxrZ7CKZn6M34S5KPj4WlgNCZ1ZdGJumU0f3p8tNGIApuWZRxzzO0AFgBr4HLei1Ma9Z+PL1de6TJlvHRoIObf7B09+dXnb03mFh+gx2sf7lMWje3OULxu7CGc9bA5OZ8cc6jSc5P3QhszPMTZdmnVMchn+yxU6gTzGESirzwpOtfly5BZcfMX8lN7okM2T7ZCEXUIgLHczcNcQweXftc61vBXAChOUvhckVM0gB81mgqlbH4o7YrEZXlZEUrXW5FzqAlRAlFHSL2lfV/2FbmH56x6m/X+YsksrUvbPw8OgWw5zp0i1keS9EJVrqZUaChw3LQ9PcY93NbeD9oeMo/NbAIdaHDv4CEKL0q4qMtoDUxm6JIVcMIUllHKQ5rXCrmb4rHjYrCmdA3DrnirpYy927BJfSTaC0BIlOR+r4yw24hEJzmYsMznS9rl0DlbpfgPCJ65emd5+NrMo6lr09TpWYysvJbOaKRt3nYHOknFoDiNmal999/j2yLN7I2phplbcpQPiS46emB0tSGR/iyFIHTV5Y0QxwqV1PrAZ/cD5arykHRseq4qABLK7z9To6pne74X1S2sFK6LzOvUh41+4y6ryIMYrm7xIHaOsX5UV2iWb/+Lr2OHbiBn3NxrgitEDzgtLQ6zT28KDgY7pWPAEX8xkQS9lZjsvjoL/34BNYCEMxeWUbQ3ijzXaLzm8B4S2ayOermbUso1gBK6M0YIZmSRZAjw3MRbDdDQgr4ZUCC6WBdtfME0VsuNpgIbGIMBnPGIWbURC3iFmE0GjzI0DKwuAfTz4AE8C96JmWVObHj7y33lJjEMvtWDfUVnZ1gLi6gO3E2xkkjFEEG+EFa03OXLfoc+lBMIfulsdzMwMGgHq/YiybcR8+M2pfgPCb01PTT9790vr4LHR4n1woQDOdLaa65kUnr03PXC0uYUmoeC6unnkvjN7Bze6XbCH033IZfXlJw60so2uZSGdG0xi7fvv4YU5ihMzvyaJRl4AAlspzAcgBsOMiOoMfPWuJ52o33B2NfuX1AEiLfnZB1t3UdE7P/OC1j03vmB6a7jveGSoCx0ECrgtQmTbwXP2t1kkbx5w1ro2FMQAIsRZy3Bk/HgE5Y6kyjErNJIAhocFjmgGBeDfwe3f/0vTI7r+9I2NKoPeyEB4rCsB5fVegFoo8zwYNjYfaLpR0ErYG3h0943SzBjb+wTvEFdRBKJr+rGjMCr+8Lut6w0LYBoOlEHqu9arvl0qIwKcLIHxo5/X1N26i0CZcNTPdG9Ea2lwAhjZO4gldKEd5mBWGrhx0ejoCg1mpA02mD1khlmMWH62AsGQZPRsWQn1y0jAdw3LowLgebwo3b/cFJ65P50TvB/QqAGcHX6N3N5rbg44JEIab5vrH+byzoQ81QEiW0TVlY6bDDoR4KgBQY5TXDErTUZu0B1jXNVl+yEBvVgjaMDOIyzS90ly1zT5ofwFVI0CIe7+7ds40Ib1T3j/r2t8AChCXWWjb+d3lMgjJVcQOsj6uFGWN5qeeaw13S18ccHkPOgGtAUTmRGM1bnxrIXyu2+x7vn4LCL/nqfvBuNFdRnd2jrWyEZEophKY8p8shif3ZcMLtyJ9PMOofocg0cm0l5WQ6xZxKjmeEJfRbl1k8/fnV/dI64+uACACDsNKEaSnuyBFW+FeGUzEs1s925LKCBD6cRhsHWdzXSPBC0I5wNivHQsrU6lzF2MRMXTXC1YA7hkuEGy44jZqyDVunYRBY5FzLTHPcBDD9V+6sASEXLsGDF34cWHE+31QOnP658zQmWRdb5WhScDv8S3zGNocuGuMW0p1Hcx7dJx2eI6yjP5QSSrz4D2yiETjznSzFj5rer09v++Bk3vT01cKQGmcDVfQGWyld1n7Y8/OYHAk4GxaGzv3diu8a3fz+BVD+K7yH4BQ/SUj4yxktpvctSr22KbCwi2D3M+YBQYRBLAkolkmdsSt/MxJ1Yo36yAu431NL61RV8qVed+4pZBSCleKgLAFhOEyOvqQYIZY8m6JjQzTDuQ8sQNu/532dxVUdlHzBEEnVCPQtP3Q8lFIANmkUS6cbLFGskCzxiodaANjz2o9klTmnUdeP/M3T9pV93/5d5DLv9P7eM6m8k6ZS/XJyTfqvmnP0HfocN1L5cGuNBvRYH92ANJ4jivM/H16G/oOIHxPA4TOE/K4Mh3PijWPUeSZPtcZ8DB25ph7RhbGG11brWum3XQLlQNAt9Tqnj9+6tL00uOnp9c2PAzNzXyt9jEp5TxxjMeL69r7TuwVUKyYtz77oZhbrkPOOr9EWbgAoem+NeCq9gCAI+DNXDMPchl9285rpnuLKZD3A4DLtJvxyzp+rfxwUKzvPtbcRh4nv/FaUX9wE+W7rwvP+9CtffHCXXEkOpNjyGM/hizImLZlJ5wqHO73LSA83Pk99NYdEO4fKbEfrQ7hXhHIBQIjk+j1Kgh4ZlF1rFv0QrPciXyUrnAgyLkMCOdYvQYmqwZ1Zudx12yVbGnnteG9FqFrjnR8yXQjeyFaZLUnDa6IzrPFZfTPdj42vf/I+y0OpVtWdK0zW88ux7lKyMrQXYDOTCm/xAxWLKfHIk5xnuOkaa3Pbo1mN6R5ns0dxQWHaDM+AoTf2Hli+skzL+/vTs8ywALwm99tObcErn10rqHu8xHrQgxV7qenjhbmWcDSGmDL7lq1v8b8vW8ZOGU3WsBl1njTn//xzFPVQviGe8NlknepvzcL/rjPGTrzkMGlPyMr1FlDs2a4XTBybYIBuxDnQfooMfKYZpDWGv2DZiE8e6yoW8ocj6yScxv9Nc/zlAXUPhd9dIynx5P08i81aUC5KWv7ERzE/LEmyfqX3UVh/LgHVffT0mIuh+MeCQKFU7EqPrz7W3e0hVBlJ9xCGHsirIQjCyHvNoPDWTHWqIpbaHEZHVkX1d5mAqHu/uUZp13BJdrta2bNOqj2cUuDfFwsFkKvQ+g0NK5Pi7z9dB7Aes4ZqLOCZLQ3spLFnzYCot4GXXP65/fnmN+Y336Fvn75QlgIAYQ66+06DZLl8KCP6EVu3y1huleWszOF3j97LRDyGrAZ1ez16zNYPbBj7TkLPtHG6YAwxwUuaPVMeyNhTOyNpcJwpCykX5vKujjj4A8wjneIuws7H9V99NXHnRUIbrXDWgcQ1H3ap39y9UsVEJ4uD8N6zjy7u/8MFpuSAoUF+873H9bHkTcT8Yj0W3PmLqLau8hqktHcQyQrB/Wb8kOjcKVwKe1x5dApeTCo7uw2y+iNds2tOb8FhLdmHp+3VhwQXjfKK1glcEjcoLsOARDdfbQSvGbs94QylaA1C2EQVm3ciEecCai5K4V2Gs1rFBjVxzX/VRPdEstkwd0FBpLLhA96zzpFPJMA4Z+XpDKyELrwECBoGTcCUdVftxrqNwR8rVZTvaYN1i1YCOBeByo0v52TO3NwqySuRzCCLFjThAO6EFpC8NETvnD+8vTNI0/OgFBzSXwI8Q2ZGa9plbMspftGhd392Kh8RQZ1dd5Lx3zeYFA3s2lGNRRp6/eeeXJ6xc59MyCcwVhqOIM1P+1AcF7PTTvMb82NCyB5zdK+1s+V8iLX3EXr/jHlgwNzMV+3NLs11teoz+fvXX14ek+xEN5TAGHszS4Uu+sR6xcrYRZY+J3dj3gu2mRPMe6Jn2broU0sJSc4hGbYNcIOBEeWBldSeZZjaYzvdECoGMKTJat01bIv3D6N9jSqVd2uCnUXUATcwQOgi25NzN4eWUHW4+82EZi7ghEzCiAM2rO8J+hgdyGck1K06/xqAKEshPq4dY/ENPW43eQunb6/9R067QoH2vQ9E9duWnOwdKUhbbhmQrednrC3/FgGKTMAbeP58vlr03f2CiC8Nyqzc36Eg53uk0WTvzEeUwC3BrBaZijp7WfaBz+p9Cfd6EDcSMMiLs+Px1qMD8/0Jv+kWAgVQ/jae+KsJ4fJCsrcrn7nOHJvu1vcNu/0cTmPIVld7Uvjy1gWmY+RAmDNKuj02dcfffvjy49ObznyqmohjGcuSxRlxQc8xOsOMrqsqPQ9sKHctHeCEpC4WpR/3eUzZpU9H2utryBXfGIhpE/iByeLt4HCCOp9kuHKMXmEfGT3N+9IBeBoHR/msS0gPMzZvQ1tZwthJUTlP4HBnJCBc0FsAtRlX+5FXEgFf6FxlmZ+LTbFAWbONOraZUAPbgH+LIjG7I7WXNSYQgRQ/RXzFyFSUhkAoZe2ABTpXjLOIWyPrIRZSAcYuusR/chZNyHum1a8TgQdCDpzCdC1/Dhw8jPO/CH8X74YQR+auwAAIABJREFUFsKfaBZCZ9wuTPj45vlsXzLDykJGZjLErIyWtrLZoUXNSV3y9QdZtPzeUY0oXH7+x7knioXwvhJDeGxOpgIjyu+0g57oSRZyeC8jUOkM0gUWfXdQpzY1foCZxyAtNd5R1kFrc6HZNiv9Wv/VdwCnLITv3nnHouxE7PGl2xyChis8+jhh4E3IKo3DtJ2Rq12OI0w4c/fzLsxVMI2WXkodcweq/WrKpKBJ8XFhJX539yH93gLCsxtJZZgn177Pibtapui+9zeTxcT8h6eIWw17FtO4m2QyKPUQBLlfwP9k8VRZuoL1TKJLQTTWA6CQNQCfcPCodaSyE58vdQjdZdTpE0oFt7YhFNf5kaJHgrsRXRR42SUWq5fXanNB3tfpzbqoZsDlyV04xzsagcOvXLg2Pbl3qVoIMx/p7za+Ob2ZeYHRl/n6EZpsJ31uR5fhnq7LR0DRx7BUjPL0JR2mHf11QMHVAoQvOtYB4cjDBK+S/oRNoDoCgg7kuDfzBB8nAJAxZoVhbsP74/12JV6OQ8xj8ML00d8+khGPv1xwVcOOG+UsWL+043xM58Ly2ek1e5FyQ8hp8ACUgvora59oQD8XmUSdVsQzijdISzK2LE/Rx7WNIfRVcPjft4Dw8Of4UJ/ggPBYyTpXU7UX7Z+XnPCYpCC2AnnBFWUV1Hf/WxlKE5mVRAa3UwZCbSs9i5TwOSOdEs3QDhbDTaYbmUdJPiMBdBScTPzg/PymcXrm2pXqMvqB4jKKhRBmwrVYA3GxcHe9rAnr7S+B2tLFKa5C85xf7ghgdY36EkBw74kyQSLAAIiscc5CDMz50QthIQQQMnYshXX+y8WZ2PNc19z72H0OndG7NnhtUQPWsDCuAbq1+/36zORcCNL9AMLX37PpMpoFEBcwaLeClcr4ojcZNOrYErBtCip5bhE6XWPt9QbDWrCZbCgDtPl3E2AzQFS/VZheMYTZZRSh2wXkbuXbjFly4cKFEgTWAL7hEsQHF6G675K7ULYw6B4vTu9pxesca+7bX+iIXIXmZ1UrWMS/iYZsy070shNr8YCaOynwRh/oEQXoRwWiHRSGe3+PS/f34rUk6x5qfIP95vTX+xJJYcL9WB8PCdBayAKk2pOF8C+OfHF6x86DzUsi4v9GH1/7COCZrqIkdP7onize9oiG8gxX6h2k0KMNZQIlPrnOWaPR+puH4+e+XAHhxendzUKY6bfTfWg18c/r89RLV6gv1OWLd9Jn1j0WXGnoe91pbFa4ZSVRphGZvvm86Lue//B3AxC+5u7lLK0lFMv8wkHbRvttqLkfuQ2UgLwrp5d+LvMUxrBmyYS28vzsMSGegcvoXRaAmRUD8B/PXOryi38nkRA8SX3M/E7HcBPN+0x9vFz27yh2fLwrO/8UPwDQupLJw41QJEoBuHUZXZvRW3t8Cwhv7Xze9tYyIKyEJwlQHpNDpj5AYYC9iNtx4YKB5KLHtayFWQupWcX1JItx8Md3tMq97V7eQsxZCQaUSS4YWyf6CJ3uWiQidK5kGf3UzkdrDCHZSV3rynPcDShbPxCGAZ2ebrwyDRhF++vaZ3/ZWegIhrGpiccq6M9x4p9dSZ0xZ6b+WAKEWWgZAbiRYMB1HZQE4c7XrjH5bEXcYBztRndZ0rOIc8mgMTNh2svg9A/OfXv6oZ0XlELFHRAiAC3eTV1Py0D6rAzwxDEODLOANhJk5v61k9nFrjJaY7Z5b+i8uzHjujkiJu5WKpdRlZ14wYlSK7QBR7kHjYQLzyLoiWdGGuKxELQJCLHaI2TM8SWl47F+ei3CmIOeRIDSFDXhjLmcO23wIupOtyQg3KkuRNB7yk70sj/y4gjlHjTa57KusZoR+lpV4mXlXNC6oMeu6Jtd5Zv7lv+e22+0WkC/gsf2PkcgwBWAxIIHjevxSPpNPUvPOi1AKAvh20uWUbWdLex1DLZhnXa7FQ9hmf57PKEra6ADNYtuo+cj+umAMCtjZKEBKLkiKlvP6v4oBwEaIaQv4yJlIZTL6Dvv6S6jDmCcVnk/M3BcztFIfdMpj3ty6PtBCkbGMKJbrih1fsG1IwCV2/nI05emFxZA+Oq7Y8ZHIQ2ZrnsbGbxlfsa1nlU6KxZz+w4C/R1mYKZzyAiuAMvyRfDF6InTca3Bj1z70vSW6dXTPZZUxgGUu/w7D/Hnev9HfFv3MU993YbXiCtt1D+shFLqsIrgY+zzOu7yDwCIRZByE4QSeGgR70FGBdGkLSAc7ajDObYFhIczr7etVS87cbwUhVBG0RMlmUwQlBLk34o6I1xJIJAFUS6lx4uAwFb2MhO4iGZ3UncZDYIcxSPQ9KgEhb5Lu4/22TX/QRzCOoIGWIkmPPNUuHQuXRU8zkREkmyHKkz/ZzuPTD9x9H3zPc78qp9740TuuprdRutYxOzaWxsJ1DqVmaO/5DUtNIIE1zqxdyaYQSHPc6thZqSPXtidvnXkqenHT0dSGdfc5gW4EAJgOE0A8WszAPI20bBmASNridWeEhJoTjy9d12T5RiCjgsJ9MEFpfy9zkm7UG384bPfnl423V8AYc+2SF9cGPXxZbATgGgptHlfXEiL9dsFtxFwxa0s9kf/OCCMdmIfIGxy5QzK20AQXmG0vGdZGGQhFCC8/3gAYtYnz2JNZw0x70F/9XwsC64Q8D04962NCeGgxpOY/xNz726gWAbVhtcinfeYgUG3Smnu3ErY38nWQnj27NJl1Gl3rLtY/Ut33FiNI2sYx9dcRvVelE3awY7uQbNPLCj1xBQDpFggfXI5ikzfY12UXjVQ6QnE6vG6V2J/ymX0s8VC+PbpDZWu+1gyTRedHdFrFCe+nxg/+wGlC2uOtkegJvrPld3ajT4TgJct706ncru9ta6Y09788oWr09Ol5MpDd9/bk6C1Z2fQmRPs6P5RZtEROMwZOelPthjWeWvPF/B1b4u6Dss5gFG2zvoY9R2PmzU3UF3z4e9emF587Mz0I3cVyWPAw0bWLQfVTt94vo75fT4fKAkzZHbAFGtmaeXdUKilBpZu0132GJX+cLfQbCHMnl/EVLJ+R7GDroh2ZSA8gPH4+4HGOyj0farjOXxgcX9TBCLr1fdd/gMcxjMlrcbHvc10bBtDmHfL4f3eAsLDm9vb0nKuQ+gF6QF+6ognDfAEDZWoC6A1ISJbCaVV3p2uzBZEAUy0yF702NuI5wUVBBiy0T0zXRU0iuCA4OJWBQQH3YdLQo5pyjGEMZb4IERIcOhxictXsqbtdG1ydrHwelT1eSYMwNRyu8GMV+J2XJhojMXLUNBjPQeGDkj5YgWET0wfOP2K2aLnINNHG3O7ZH4UTc4LdQ0U+nWumZ772Oa9vmtj2P4+Mnhc+501mXVNNaEGhuyA0MEjz8tzIRB1EJj16xFueKc+9z4P7jrMPS5U3Ejz7dbzLJjkWpcZLCqG8F2lDuFdLamMhDIEMLLH1f3TOuya6UVwv4FixhbANxQz0gCz9zy5U30n7TosOjVbnFv3m2XJ60wt1lHrn9pxpZXTGa7HZXRbh/DspCyjp3ZOV7oe7yEsrbH25YYf6jo8PPxv3699p3OPu49yjPY9YRjr1oW8vnZC2aFzVws4lODnfMX3oHp8oniG6AOdlrAZLv7LQvUqM/T5I1+qLqPQM19L+i6rY477WwMj2drn7qII4tDuTDtRtuhZxGm5W3aO3ar70OhvfrYDOKe/TtcECJ/avzi94+6z87BrP1q70Kj+fuObPyvTv3y+vutGlGOM8cOLuOu3g239Ji7z6t7BJYdwSfV34m6qo9hznv3h7z47vezYXdOrmoUw01YH2Sju8vrwa7IbvV+7pijM6yD227LsiAPh+V2UuXRLnT8rK6I9rGWO2y4P+fC1z1fruLuM8r6yctWBNXRfc57jFENB27lwjg3kN3vRs5K6UiX6vPywduu7MMXfDDDrsZA/a9maasDoiiu1puOX93fv2CRief0e9u8tIDzsGT7k9gGEbz79U4UZnpyfJmAoQHh8P9yDgqhHhtBFnERzEzpRgV6c11/fwIBFuSQpppCMdVxfGYQBSv3OQmg8v2t/3NXBrYXRVgd0FDrFSoiwoOueKUllPl2yjL5PdQjVNlrm+n0zds6Zu/cvC+IwZ4hntvRkwAYzpGj9yHI0Ej7qPFUiHe/HXVvz/DkDpS0Bwu8UC+H7i4VwxOhp30Ey8zuyznG9WwV1DMIOoxsBXu4ZuWzS7ghEjrbHjUFU3PVHxUL40mIhfEOxEGZhQG4/GZi5cKVzAoj6y9xlDbP3w6/J2uzsJjYCs3X9G/plDtcshHVdtIZx1WJ9EX9EDOFdR4v4X4W3+Kwx/h6zESvChQ1/D9GnXhc0A8l5n8lC2NoJAX2nxJSUmqUmyNMu9ahyPVJZAd2iRR9rMoHqBLk/OW1Se9sYwrAQKsuo6sqOFHrMu4C15nGZbCZ4QOztTnvcVTR7jozAoCszeB5WQ7mOIgjqnBeo93qzKAqqRbisJ1xEK68QKGzrSm3IZVQWQgChjuU4QNbmLMi2/UD/3JOjAynFrguEQg9CeTeyQDoN9D2j73h5sA/FF3Dh9qRjmQ46fYbOZAufjn/lYsQQykLIBxrndEznvJ3Mj5y+O92M9dB5Z+ZZ3u9RhukMGnOG6IPAXsyf6EmGFZ1uPvzMs9NLCyCUy6gDNvqtv7PSrM2Bj2kUFpDfhbcbvHn5lr19whCc3mOBznPuniO0uATe3UWUcbh1UMe87ETmbc7PsYpma6vaUC1l3yNrClm9BfhA9CdoPZbBzjuihZ4szLx4Gm0Jt88oQYQ7uWedjnfUSxhBm3St+MWlAgjv1BCB5eo7/F9bQHj4c3yoT8gWQj1M7qD6yH2UuoQAwSx8UT7C3YsqAZgtfPjrB1DMMYRcSwKDiE3sRD0Eu/AFr4Sjth1/cR3NVslsMSSFvTTJIkj6yMVIZSccEOasdBkAiADjQuoumhB0FyLiGT3VeNy7WVKAaxDC18CiL4IlGF4CBa5zgo+AIW00rlC67tGLSwthBkUhpEeLjNHZrWvwdI0LIVnrHGC6pwWv81P+jZ6ZmQzCijPXrGnN7dC+z1vizdMHn/3m9PLpgem1dxe9YhuYAzdn9hsM2uZk7RzjdUvdAjRah9zN2N/hEmQuR+ACgY9zrcg1wmUIz9P0wes9qUzsw83sot4u3329Z/Bd3UDLhbhl657sKoSwnoUC2ofpyzo0K4oaSMRVCBchtMLV0pgsXJ7xEmuVwI1iSj66+9t3ZBpy6P27T/1ftQ6hAGHdu1WRF+DaabwAIR4hubase3jofmoQLvecAHnwkyygApgEAnmfAP6RlZjkYUGPYi84AJz3zbyWOyDU9QoR+OLRkmW0WAj1cXDmSs7sxcHecCVbBn8VCIjGtYs6vezAmbWcyxPlPZbjFaXAyZlI15RrmT57TPzjzWX07Q0QhtAefIn+bioeRxSgH8s0nTPOC5Y0rAv8jGGUeVplLWQt1DX63q1jyAEB/rICcaRsjLU3TX9aAOELj54p9F6hKfHJgI5jjCPzDD+vZ3m8YJ6pqtBIDThgdp6lcaAodDfVbBV0+cdd+0djCXDaFRMOCFn/3md3EUUuyTkRXPmse1FIdp7gCtJQDEpRU69r+7I+275jHfT58PmvHmUpoyj0geO9gH13a4enbmMID97Dt/LsFhDeytl8HtpyQLizc2wuN5FdRGH+xBW6BdBjdyqRmN2QwiJYiVXZ1MQjYiFECHGBwzXRXUCJeCC5AyAQUqOKKUOQd4bo2av0feQySmF6J7ShNe7xFy4sjAgpBM6zbgEAg2huxhdyD4Q31yIcPceFjJF2XfdksMj8jCyuj13qFsK89BzA+dyuaX039bIttiGdcAY80mw7SKRPEi70zzPrZTDq/fc2XPuax/jH58NCKEA4z1O5WfesgTx/L1zjigOdz0JE7oNb73iux3/EGo/Z6c+IVrNbmn4rBPLZq01Lag93S2R20cqAMFyKwz16zTUpg7+qla1Cx6ardQhDy0Qy7k7UlRQBE1gLgEESyMR8d2sj38kg5+ubmEHREE8i466LW0B4blIMoRemD1CthDHFPbPZibsCbpkELOhWvL0etRMJZ3SP5lff+3tp69i0/Sjz1iyEtR1qiTV3UdoLJdUyTtz3tWrM5g+0/WIDhIohDH6wcem8x2IfE6++jOet+9DuBYRo3xwrP1jn3sY8H6Zgy093IOqhBv48t1DW9tt+xwvA58lppB77lYtXpyf3z0/vvPv+ut8cVAKsqqdAo4EO9jJdXvLZpTfNmvKwjsMGnXmJzweAsK63wZxlhaBfl5Oa0C6A8DUFEPLJdN77ACkF9GXlqNP//C6zss77RMzg6J4Rb2CtIUeIXX33CnF0ofTwYvQj5aLW8loM4QZdLwNHeaw+0p6DwUz7Hcx1sB1AkLAA7U311Y+p/RwmUN9lWSkklmEdX0nu4+41grLJeUD0fVuYPq+zw/y9BYSHObu3oe3sMiqLYPhkF9et5v6pbmQm77EidBMG6r8laITjVmOu1QIY4gNC20i77MICyWaCoTQNoQmJbjVQTKEzHWKTdK+7j0r49cL0GTzCMHnmc2HysxtOI6bZFciF8yyo17kuN8zZtgYqyu7a2hOLZLBbiaqYe3sZ7pYIkX+8AELFEL7/1CvmlebWOGfYzGnWwNa2Sh9HwtWsAS6dwAUz3692Z9faJoiMnqvnoHF1Qca3SGbCALs1weODF74xvXTvgenBe8JV2sHNLOQxf4P3MGKCuT8weL1naeL1ryjq5w+CnwNCrTUs0VxIXIi373FKIwHJ3Y8yONScy2X0vTvvnusQjlxF/XkeK8K+UB8i9jFArGJEsA4SP+g1QLHQswbd/S8EhaULaC4xASCG8XuMsdb65UJt6tqvIkW47kFf9FeARUkGHtn9t3e0hRCXUS8X5MllcLON99TfSaVPLfkXawN+wXEUffEeevZPb8epNOBeLmESDr1MBXTZBUS1izuYvmMlxGW0xzwF1SJMQPT+S0cfq0llIsYwRpCtRJ3H9PMO1jwlP26ddV7M0ub7g+91PhqN4zvPp3315WZqGAISfI87XcygTOdkIVQM4UMWQ1j73frk9GzmYQPQ7G1nupNprdN3npUVaKyjNcUSXXASDEAdWfjG77SUnWgWwlfdFS7y0Pu+jjuP4Rht5Xfn5/27gz2syKrn533HdZ/7aj/KP0C9g1QAv3v3uPsofAGe4VbBuk9kmWtjVQzhj02vm862ANXRc+Y+aa1qb7QDmfYzL75mdMzHqf3o9F58ILfTQWY8qPL4Rm/8b4yll65xeY2kVLVP6cVsAeHaSj2c41tAeDjzettaBRC+7dRPF8Yg6BWZPvMH4coth1yjVOW4Hnk8ijajzjl4dBck7ndBApDYz8X9WAczIFTiAX3IRqjfFJ4X05BWyl3TerxhKTuxd3X6TMky+p6d99WSFUp+QfpyXedaVD0jwNIyPsTj9pw5rSWWcbc81wJnV6MqXBvFHoGgHMejPo4shO4y6mD1S5culRjCJxeAkHGOGK0nesnM212Toh/xydrdLDDkceXYPdbBmiDF+SpImXFgFAOY1/QfX/jm9OL9+ysgHFkE/XrmI7soaR4Ye3Zp1f3e7iyECEClzoysb5750JUtrGfin/zekdtPfR/lheCKpH7I2vr7Vz9cAOF7pnuPlz3f+pQVCG6hrIJ/k1Dye2U9ePwgmuDcpg/dBQQHDOxnBP8oQRECgebCM4hiEcx7s85/c1P3vzulnTu1LlUuOxFz1Om0u416+Qm3GM57zlZxBuDVzav8d7JlqXYAT9yn1oXcRauFwBYFoQB4gbiloPKCcg9hAEGjg9q4GynKiXhGnL9Y4lM/d+QLJY3SG+d7HO+wl+lKVrJVy6bd4EI8Qj57xHmF2kPB52t0DjEobRJP5spDt/qwh0cWQvqUwZknstL3rxYL4RPFQvjQXffXIaL8q0qrqtTp9Dr6HMegqxmY+fUANJ/PkZLKj+X5drqAkhEgtAYGuedGz9L5jzxzbnrRkTMlhjCyKg90fPX4yCLIfDn9zwpK2vR5cuDq44N+epz3/IxCm11R7HKCf0eJKAUCyVoyvVab0FiVnXjzVMpOlBeKohJ5pPbdeIDHfQMy6xpMPABQ7Yo9XVetd+WfZ/9lT2YloM9LVSBUq164m0bG0B4O4Fmpq8KxZhfF1b3zVQ8XuFoUgA/v/tYdqQD0ub0d37eA8HbM8iE+I5edmAmsuQU5s1dcIUXrMyBBM3x1p9SqKsloiEfR/Vea5j4nn/G2tbVP1aQzIS7n9OczsKkCjJ7ewZmuBxyOMoy6sACxc0DoiS4EIqXdErBE0HUBGOuNW22CqQaLcQ2za3yZWzSBHuvlbqUjoQPhIydB4Hlrz18woUpY46O5lMuoLITvOxkWQn9uvaZxtszg1pajg7usWB5phXU99yBcuJCxpv1VYebdCH2aPx53oYPeXgavMWclqczFsBC+/u6wECIYcR6Gj9bXEw1lzShgkPdEx7KGNxeZz2PMAJKxoOmdFTNNeMvzlu/PAgf9w0L4npJn9J6WZbQ+K81dXlfZzc+fNyte2uDRDuMyhNt2Po6FyN3FHRBmC/vczybSEXMsoCEQgoIJEOjeCDq2jSE8Oz106memEyWpDMo6n/ugD3kH970GzXYvkpxszNsAHEoZ6MAPWgTA0z3dTTOen0MIJCC6ddD3digNIlthTi4jWk6WUVxG2ecZpKAIjPNhScx0fGShy3s/Z4bGFXy0Z7ObuPObSieN1q19xVrpABGgqTEJEMpC+La7zs60zsfKXgZIZnAHLYJWAihHLpAjnpHp62gcI2B3spQgutziCbPiLium8rwBWNSfPz0XgPBVDRAC1ugHSkRXsHHOlX1Zeed8z5/H2oRXZN7GPObjOREN9C/3K/eD+rCZV/DeAITZQgiPgq7m91IVe43fjPhs8MkOrx1Mes6Gur/LddVyWPdW/+AZoH0rcOtGBPcSma3/TfbzvuYEY9CPbQzhTRCPW3TJFhDeool8vprJFkISyVTtcAN/uItWv/GmcYdZ4pKFRgbhq8cOhgaHzRlEB41Oz0iKG2l2GaMQsieV8blCm8yxkSAzAoi6/nyzEL6vWAhzHSsRYTTPEC7X+ma3IrVX3TbkymodhJivxavkAPKs7XVNHhpqmB6PASToN5po126760efp2mShfDbR74zvf/kD6+CwRFzjHe/+XFmPgKTvb9L16nR2vcxeuKDNcBEG86ER310rfCHGiB8zV0BCF2jrt8jrTRjd+1wXdNr6ma10zSvPk4YrDP7LMysuYneUCBpz/M1l+NY9dz/XlxG39UAoSczyjEogMIuMPYSKFl4wcpehRIbsO8vCQQ9DXm4CKIFRuBHQIh9FdFq815qwoCOefF5aJDHOQssAhTpzt7+tTtWY+z0/kQpO5EBl+aIY9STJeHXtRpG0HeVJ5WZ53bAH1xxB3ivlglcemeLX9QWwzoQ+6rxDrl4luvhJayTRQKcGm8YCcM8myHHdouFkLITmea4sidoQXM3biDT6ekaLc90OWhFzBdeN843PAwBGuIJZzLdhmbgfeKgFItSd5eNEXocoADhd6Znp3eceUE9B4CIfi6tgz4/I2Do5ytYbu6ydf3YDQ4MHfgAxm6kbMyKN57r1kVAGOPwe+AHolMfe/aZ6cVH7pp++K6imCgPrtaodvFMjxv4533Eu1sqGBmj0/wDyH/tsmcQz4qDeUz0pR3Q+/dYvqxM9D7Ce91FNN5/p9WKIXz7zmumU2VRIFewbqRMkNcIig/nAcQLIlswJxHX32m57mHf4aZNmSE8r/i96SETOyTLf77OKD5P/UFPJFPnol280cb+1elDu7+xtRD6ZB7S9y0gPKSJvV3NIiBIY7x/5OicVZTnq/QEFkEHg7EBYwsCGLN7aI49iXvCPYkP9cJGCQYc6FBfJm96WtK1WAjdxQiA5kIGz764d236nzsfmwCE7tpGUeNKzAX0GpeDcYziTDwJge6b+5aQiTMEd9NwMOjEnv6OBA5nslyHq2GeU++ziPkXLl6cnihlJ2QhzO5JamsETkfP0zHiJVz7XedgIBxkrS79zlrDtT2QNa+1r3Zx1sjmPiMI/MmlsBAKEI6A5M1oeEd97My5u4JlAOjCHsBvNC/uvp3n1tdFzmTqrmUOSB2kCRC6hTC7IwEE3SrpbqouBLG/cBXy1OQzLWlfwkUw3phr6UklrvNBV8IalF1Oq6DUvATQCkNrAIhYpdyaFW0eLXWpLt3xWUaxEAadEmgOOO3ZRjkXNFv1XiNLdLy3lbqo9Z3x/uJaT/BDm/mdelkJzyjI2iG+0N1I+d4Vdj1ecaSMIKnMW0sMIXGuPR67u0hCt2qcYflRFQ9lE/nvee9pLkoHnKavWa18zphD/SVmMLvpZXrvNGM5vuXznSa59UqAUEll3GV0zWrlbfj3TGcBx9lKNs+PASy/5qD2BUyymyrXZx6RgVi2+jloe+TZsBAKEGalWgaeGVTq+Z33d2WhW858TAcpCOexpM7jncF6qM+s+zM+uIjCE7LSV+dHchR9IYZQLqN1X0pxWP6xznytsz4Bg+wJ5sF5I0obB4SMcQ4xaGNxPuEWfZKJxTh7Ldru2RV9jphAeYLE5AVtikz0khFHseXbwvRru+3WH98Cwls/p7e1xQwIw55XNtd+ZF50LTDWwywM4KblGlzXiMpNtG70KhrsL2oRxqaOp6KJ1rEojBwfZ5QIg9G3zrBJSY4wwV980GubxuBFVC4WSwExhJzXX9yN9B3NqQvFEEMSE3gclMcU+ot0rW52u9B1WYDP7pvuMooWMC8Uf3Z2Xx3FqzzWLITvLRZC/2Qgm5n9iPmvuRk5iBmBw7XFPgKHSyYUAtzJ4j6qoH0+aHNzu269pB0A4asLIHRNNe89CxtrY1loistNrq2nHy7LIXroAAAgAElEQVTAeTZazoeWO57ocRp1nZfOrRWZZ1y+fvJ6muemDQjwTx3C+yyGMPZVFz7m9mHArY0Ai0sLju6t1j+bfIQEDklDvDa/EgS6sNMEgHY9boKcRwDQXxQd1MFzS6EnxgI0bpPKnJ2IGXeFnJcQktJOINGTy8xr1Tw+spUwu/HP73PBSaKl7ElBJulY8z2TqFsDtU9RGHCdJ5xx2l3XmRHSCyWpzBePfml6W4kh9LIojMsTOSFsZ+CQM4GyX2iDcACnCQ4Q/Rlc45Y69rufczf//g7iG3vNk9t4XxyofvXSlenp/QvT20sMYQfRcTWxcZnuuiWN77a9Z0WaWwj9/EiByBjrGmjKxKzEyzSCdk6UAV9pE7I2x/58z+758fPPTC+UhfBMyCP68Fxca/25I7BM3/N8LTx9WtuVpmt87SVR9ken3SPD+zuyAjJPXOe8bPkuOsdyfsF3B4RzIrfSwFqGUk9axrgXvK6+v24hZM+yXj00IHIiBNBbZgfdjA/UNVVJNQCG4aUW677T/U2loc/LFhD6bBzu9y0gPNz5PfTWAYRvOv33ioUw2MSR/SaM7ZQN3L6L8Rf7YdHEXKl/tS2vlVjBYyVWsBKs8h/H9RfrIYnnOa92ZHGsz1mIjjFU3L2oaZXjCGeiWMFgFz1zspvZWtfcjEg8IS0S7krnS07CL0yfmN46RWF6ZSjNH/X07PFjJWZtr/q2e4yKa++6i0VkWcRFIgs9nkJ/9HJHKfZjXnptN3dlDQAU2uus5URo94QvMxEt93z92vnpyRJD+Pajr6rENWukR9rD3GcHjxZGUC8DGPF9xMgOsnpmjTrPHrnIhmARVoscNzevmaatRkj62NXHpxftvXD64RN3zf3VF85nN0sfu56HIJcBsmtpmW/dOwLyo5iM2of2XtfWg9dpGzHlRV/b2qnrqMZnxOcjew9Pb91/53TvsVYapp3TO50VCs39jvZ8nS8AerXkhUufK4Zi3H0XVGtLA3Ejd868p3muwIk+AJSwAIoGRa1UByKUsQEM5r9Xy77/80v/7x3pQpRjxuUB4h/qzuoY86ZrFBNe32WrW8h5B5GxbiPzcZwPa2GuVcv68LUyAp5Yd+lfziir455ciMRjPh7cy3RstygAHyuF6R/ce3D2JknOG/VW6P3I4hHj6vRYv7P3CcI+oOFGdC/TOffw8MRSjCu3p98j66HzJ9Hir13enc7tXJjedOKBeYocrGYLHqA43AKXCdVGfRiBWH8XrlBzK1idQ5vXKuyb1dU9HDz5jrfN9w0lQ7OA6dl/fvmJ6YH9e6ZXnI4QgXh3S6safLAnohuHN6yCsqYQVNvwQx9b7jNz4u/PlYO63uNY8/2jBICMq/ah3h+fR/Y/N71x73XTmaM9x+8yqVesI2oH8ix3/w8rZssk3b47BRnFJLuiz9+TKw5rn+u/ZYIYTw7DWLPrunswuFcaPGOvuIzeqVmlR3vkMI9tAeFhzu5taBsB4djRFxcinLfobehAJVjKbNrNPAf91rlb9amOB1UL1evQjdpmXnQtH58rP14J+A3mUdff6JpbNcaD2hGh1OdG478dfXk+nqHx1zxmz9O6fz7GzDO1BjV+vfu18ed1/Xz2d/TsTDP8moPoicZ17fq372hAePbUj5X3LrorC6tiOOPvvD4W9jvR6DjnlSXz9f77oLWSn3U71xVrPj/zyEAZ6NfslRpofk3+rWtHx27n2G70LPVPc3/0BvzO22FtVL7W1gnffT2sraHRGrmV79/bYm2O1qr6er3Se2XYXMoQPq61ObyZa240/8/3+bXxP5d++Rrnu/6OPprntXPP5Znf77X7pX/P7P7PO5Lef79z91zv3wLC5zpjP2DXAwiPHnnhHSkYL730b/7lSIh2YIfw/FcJXPxV7PPNv6EbX/lXcfy3UpmwXywm1Y7TAPHNtj1SgPygg0dfDerr9b0n7kgBAXp/76k3VUC4nJfr8zEJUVXwP+CaG++wH7wrNK48ph+8Xh5ejw5j/DcDlm6kUMgjHoG7NYVDvpa2XNlRwevKu79R/w86f6N7D+9NPveWD+PdP/de3L47GK/+ntv9zB1J72/fbMeTtoDwds/4LX4eAsIbT//v1WX0eisPIbdPPrhx6ZyO6+/x/RP1dGQjvbZwLdVvuXCeKNfU+MDmesq9uJ+qnZ4avrueQuB1PS5M9EEuYnJfUmkLT3ZDX0iKQIIEn66cIe/Czu702P6nSrHW99b4RmIYvbCy3JAIYKYtsuN5htPstpddXXMwfnZVkttFr1XVM5zqmdklKVxqogV3+ejvq8fncC0xhGQB07Vf3Xt6erpkGVWSBT5kB3N3o8UclueeKOvkigUTeP9yUH8eZ47lq0RE66hdGO4ym8eWfei/6IbuOdUauTyI6He3FlxoP7n/6PSC6w9Mrzx2diOzobtk8jQfp2Ll9CEWiZpLd5eAkYvFZ9Vdl7zvozTc9R3XvRTvNb9Tj6X1rIt5XfBb18u92ZNtsI7oi9b0I/sfLnWp3j2dKRYDj9fo60gpwIsAbQlEdI6ELvQ7/mrHRRZiz0oc5yIZifaYf7TfVI5G991dIosVD6jfuBpyLW6htKXffLLFCjoh1/bjxcF0fnftjej89f0rd7zLqEIEsBQdZOnDxT+7luL2T9IxzTOZqev3FhbQ15Le6jIRjSexUczi5bICgjeI5oaraXZDzvUQcR/zZDfRl56RFDfW3bImvn7ksem1xWXU4889HkmJyUhcAQ0gDt3300F7z/cz4x9lsXYa67UUqYGb3cZHbuJz++WL0zinqVzzl1cvTt89cm568MhL66G12PBc2kiJ2UhY4i6s7u7vrpfuwoorZI6h9nu5Jmc6xi3fQw98zo6VRtTObvHNzS6zTn9hB5+5/pfTA3v3Ty87UcqtmCupz4OXWNAc5bh8zyWg+04Xen9J9N5iq50nZX5Y10aLu4v2Ow/3uNm1TLvcn9eOJ3aJ9b+UAXT9p6bPTq+7/trCJyOtH22Q9Zm2PcEL/ccVlGvcNZzEX+4aOwwdsJJAp3aU2Gd/2q1UP8pMkGyQZ5HlmKRX7GmeTdkbD8uAB9V+Nnf4O5nes/dv198tILxdM31Iz/GYEhWmB/RVotKYeq7rJYHsZEk640RC1y+SYtQU5aVIfHPxhGF7AhnE5lE2UrXHcytRnsXbJbGL68QYgl1DSCliTeZRCbYeIyjGRtmJ9x95f02XXO9vxLQS63LNXM9qEKfn/vkB6OIljeI+PJ04jA6m5cQ5x0BEP8YvHwBZYwXLjbr3+AFevxBO3tPjuypM/8T07hM/PMf+5Jg+j4ehF95fZ9Z17OWk4zG/fwEGLdYiCxb+OzPUnKSAqSEWb60mVghXy3n88O7XppeUGMLXnDk1x3twhc95jo0MsLUZcxnrL/ZBTkrh+4NnrCVcoB3mi+d7cgKSV+TsorqX9eDrOcex6NkfvP7w9FCJIVzUIWyCEn30QswxhviwzwDGnubfZ1lr5bK5WruiRNf5PnVB3IvQS2Tw7JcqReO0wekOAkFOJiPhoibrEYUrgPCju799R2qMvezEqZ0zM5Anzm8U39f3fY8N7MeC4AjIj7JHI7Q5yOsCX5ToGYGGWUHS6H7sqU7cyDAqRYYykM7rtcUgZWWIziur9KMlqcyP7T+4KM/D3QAxskp7QhKn71pHmZ6zV3NsnJ6bs5DWfdToX47hq9cbbXGgxd5mrJmPeDwae7+/p2n6yqXL0zPTxemtZ6IwfW7P9+1BtGmFHVXakEtyoOCLcXXFnz+r9jXRHX47/c/0O+Ial0B4oAuclY2PnH+6lJ24Z3plSSrjisfcl/p+2kHam2MX7Zn5WbxT6DXJWuo8l3+eMMbjzxm/vxOUglmW8JjBDSDUOu39gB9rLf/p9c8X5ffrCiCU22zfdzlG1OfDk+cAOnXeS6YQayte4PU/Y1yJ6ba5nfl226+xXiODqD4oZog/1zOIfHQFfZ1XU4W4IQAl5W7JKr2NIRyt8lt/bAsIb/2c3tYWR2Un1AFP1pALEHvB56wJGiVzCYLY2UhOYw4wRDssgc+TS3iSAggH9azmc5aVLmvXAIu5DxeLYPi5nU9O7yl1CJ14RZYrgauoiSViBKGDqY0YZmdioQnX70Vq6HKz3+dENWtQR4JFBgTOQCqD0/MaIPP6Q5sgKqxQj1++UJLKPDUpy6hrOL3+Hf1w5pYzpLnAI0aje5T5cyQI1bXQ5oHvMMQMgLifcS8YVXkpgDaEqtC2LjXf3ONzwFgFCF9Uyk689vTpetma4JY35FpWNvrhZSQQ6Gr7zUJCFtFRYgbvr74DdOGrI+XAwrraBM1RYhyym/IMAOG9x5QkqicDWWh/S0PO0p3BuzCPQiX2Z/+QUS7vvVEiHDLIeX06JQJh7jwJjQM+gUO3CDm9muezjSKEjjs3yYDTeykAXajUXGUtPZY6L+cR1rVugfN3O9OkSkHDOpwVewhqDvLJJFppQmvEFVjZuhi0oysKsyWjZ52O1St6KED42NHHprfsv35Rd5Y+Q6tz/VnWfwY7TtudRjgtZ786bV5c29jiQYllclIRF+YzbYqxdrrh9ONru1emJ6fz09tPv2DpkWEbXNlCXak2snDV99rorJ4F3dVxB4VuKfN+OjB0UDXiC96207n+zqK/rpyNtdEVgPRJgPCFO3cXQDjOGeBKQ6/fONOQNk+ZbnPeabTXZ3ULqB+HN3jt4jVAC09BrvD5HCkXvE9agw4I5cXima69bd0Hf+J9IrmxTKg1W8+3QePZ4rUKY50E/4h33jOM9jldAsC4PpQ/UZ5I6znksOyp5XRCSkP3JqB9XXNpf/eOrTs7og+HeWwLCA9zdm9D255lVC5EuA/lbKDutoXFDsYOEXGTPhphdyHTddQqzAIFbgOebQ7Xs+wqEO04wFSG0CaAGEGBuKxlD71QBMO/2Pl4Kc393gr4ZPk5UUCgCB6ZQuuzIGTlvECiE7MuRCzBXhZmZgLVug2TgLE6YHF3D903KoTs4MlBwghk5JIFvK8v70YdwnedeMVs1Ypis9HbRcZAUwszA1Vr15hN7ieMb63v9MmZmWcHzQJUBkRZeMiChbp79vj+9N2rYkLdauYWzY9cDgvh6+46NVtYs4F15K6kdUIJEwfK3odR9jcH3SgLxIyZgwzi8/Yn6ynWwbx28pxyPe+J90q7AoTvqBbCAITenq5hjikm7C5NOo+yxNeD9k5f69pTveZgvadphPUXVzyy0M3uWFpXDTzTmmefUzsSAPRxV2+eixthv0dugCWRTBMaZCG8UzXGa4DQ3TdFgykR5HQ6g8W6RirHiPnNWaNztlEyPGfPErXj9Jz3WD0ejK5Dk4LWbLpCjARC1gAeIV8++uhsIfT9JcFWtN3LpriLZs7UPCs+jS5q/6BA056RoO+f7HWAomukXMxgcwScsjdH7Ml4ovqh59Wafq0bAoSUnchlCVyJ4zTb6Xt93zYkwFouOeTWNV3P3AEM8l/azVlZHeSNAN5icsuPewu9P9fovbfJ8z9xoQPCpZJrGbLAs/jrczAweM3dcI+f+i7q/ohP9tDwNrEeZqvztfIyofU8xBUHM+Bug8leI/AV3at18LG9z08/uv/a6a6SZXSx9psycHbFXBkkJYPq3LYG4IWLbKXt/gDisWBGoS0xL8rcHjMnOc1r0WIRdIDoWUxdTnIvMzxIop8lvGX/8vSR3d+8Iz1C8h457N9bQHjYM3zI7bvL6E7x664xe8X3mtg9jx0R09dxfQTW3B1oxORx3zpZHEcRxhgO/uFe8NgthV70HmEFIhRRR4Xh1u2+ZLq5rEO2fIjo0NdzRXP0pZ0/q4AQv3mvVajnofmS8Huyulr0+lgai2tQR+Ud5MIpYuxuhLNmq9ycaa8zZie8br3KYGlkIWKew62mx+648PG13cvTN498e+EyWp9p2tWR1rYS8ib8SKhxoAGRjrnbXLyzFc0sfF7eIQtNDn5yayO+5S6rmnuAKRZUB3gfvvyV6eV7L55e1VxGRww8mFZ8YNwjTbWvM597tMDZArCwyCZrp/dVbTkYPshSOJqPDFjdivmH1/+0rP13VQEha54Rxtx1aU7F3uYCVyGPj5JA3S0qYYmugqO58lVNvNkda4xIq0Ho7yBcPKO8BAqm2HOxnnVMzJ96efGuqKQavVDbxAYL5NSSF8V9/E53GVVh+mwhzEq6XPpnCQ6L8FbDAmKTOxgkDlQ1DlkNI2sfIFJ0XB+PTfW9LvCH0AgQxGU00wRfa5yDDKnuLIBw6ZGxLBXU92+n9W7VwoKCsOt1BKE5TivcmlbnSkq0tuc76FgSyznmuwnr7k1SacLAoq9+IKA7OGVPfWM3CtO/5XS4jIYCtOylslV839U9NuBN7qlxI4Dq9M15pH+Pvdw/bokdKac8LIB7Hdhp/FgLaZV29JxHLj41vWiSy2gJd2lKQvqTn1fnuM3LmkeM82oHJ65UdXBJnxwcjayD7Bnn1SPFsY552SLWFc/JtB9AqBAB+FLv09KlV26kXsrKY9cJE/ByFHX/lglz+cvfjc4D2phzwF92K42C9V5fFlreebEDQOclTm/mPVIU/x/a/Y0tIMzE8hB+bwHhIUzq7WwSQPjm0z9V0zF7DcHKvMp/gEBZCUnkEhs83IE8CYS7xTEOrIJOFNAsz4TbNMwuaEio0EfCiT4SHi63GCK10SvqdJcEn79RID5CzPmiOZLL6EPTe2ZomZOJAArRIHdiG4Hs7l7k4MkthzBzJ/Cb+u1oGSZTta6FDo4sVLougy0HWpx3bS6JAaiFp7589XLEEL7rxCsXSy7HsNCOazsRONRfxjXShrr7UgY2PrYMeOlQBog3szfcTcvnyoGnjgsQvnjvRdOPnDpdhbTRnOs6uVFRDDn2RMSDEGvkwpH3D+Yk4e8ga4DuH1kHva4i84O1j+eMAOKofqK/m7qfyo0ChMQQZnfW0O4u3a50H8IAApDH3tb1a9phhL2a7L4cJ543K4887pc94G6F7H2vZwezn4UnA4KiN3MSqpYsyhPbyGV0Cwh/ZjqxU5JrNKAO+Mv7y91BSQLkLqMo9GJfdEthTquEt4euA8zXdVh6ACB0AbsnlekuY90q1wtX1+e2De/qQRQQrDXxCXmEPF5cRt+094bq9VGLZZd1ibJvIag3TxB3bQ6L5Th22C0hHj8MXcn7NdO3rLjL8d6VjpnLeYy7W16yRZH9Ce/Rb8UQPrnz7PTQqRculFyu8ILOuGLNQc3I22QeS/uyZn3z67gm6wy7Iiqu9ti9mIMe34eFMuZu6TaawYjOy0J4/85d0ytOndigxyjh9AzcZutaHYBlaHDmJ/AddwtVGyMLsIcVMC8jkD2vm6ZAc2UE3iV6V1nB4N4kdZ+VcXz0+pemN+2/qiTCCaV+VirkmFme7VbzaEuWy1D2VR6lPaT1WP4BCl0RWN9jU+7NMcoNPKIMBARmhWAYFeIToUY97hgFEgYCYsQ9qVlNZFYUgA/v/tYWEPJCD/HvFhAe4uTejqYdEJJ1DsYuICgQeKImkFG20ChQ7DE6Hh+i/roWmd/8pVAoWvuRRTCuDdbOc3QMN1URlshLFSS/kPYqEHgSCh1fcz/wuBNZCD83fXx65877Z2AZbXWXQH8H1XrYLIQcz/Emtf+Ny7m1sRK0ppWMMcYHxotgfyNNbQZO2U1E1joSyzhIPF3Up8vMoNMcQwggHAkyMImsoc5jUT8yI9QYTxbeo3hC/zhgy+CN8efjdf5s3kagj+djnfQ5dTcomPzDBRC+tFgIX31agrEJH+1Z3ufM1J15sxZHyYSWrk4Rp5etcVmLPAKQaIP1bt2CuGZxnQWpNgiYqseLOCDMY3W3rhw3OK99m6fsMkQcrgQEF869rTVrPrEi7iaq/gMMu2tpWAMBLVIeRabKiG/DMhhrJ1wa9VdJBj6x+7t3pIAAvX/Hqb8fNSiry2cQrDVQGPQqisxzvQNFfwfODyIWPNp29//s6eF9qEJlo+0AxehbuBjXvjQa7EDQXcm8P1gMdS8Wwh8tgFChAXqW1i1Aj3Wt34QJOM3Rtbov+hBXu5uje6u4FwEum07boE0I82oLWu57sc5dHW8I8CiPuCZ7JvDcE6bEgnZ9rQDCp0th+redesH8iC7IB99wqxieKIAN3eQKKKdtzMmpQu8vRtjvYp7cYljHqrbaNW6l87mljXwt8z56vlvSvP+a508WQPhAiyF0AJh56Dy3AwuhFIEe38/8Oaj2+DzacgDo1sSRMjG7bqIY9D4jNzAHHqLhoQLeviyEby4uowDC+j7bW4j11a2EaiMnDuvz0gFhvIvwApHLtcAhrqVuCZTrN4pB5LXs9t2VifuVBuQM79mrxJXqDhrxTFPfKk/YxhBmknJov7eA8NCm9vY0PLIQ5ie7VdA1l7PW3SyHHkui79qQuIcu/b8j9gTgVxlBg0kiBGh91MbJZiUUEHSmq40vQBjldiV4lkyilusOgiOwSGAyxFYE6tliIfyL6ZHp3Ts/Xu93a2MwpibMZHNc7evy48JtAMcQ3N3y4313ISHGPv5kELQAGM2C6C5IYoJKxz1yO+EJMM3HdiOpjLKM8kHr7OBwZgSaIxNOXCuNdW1+hg3HrYnODBm3W7/mftxg+TsgzHPkgoCageE7Q9U9AoSyECqpzMxQGsN3y2eAMcUYhWDmc6XvCGv6PgKFCHJrAsxoqFgMdA6wlS3G9Xlt4Xi/3I3orrLQzl8Nodf7qXs/eO0j0ztK2QmyjNKGa9e7sBbuQNUltEmF0hLzPbsL9TXT3UNdO6zzshgq+28F402D7BYrLIJ1DtobyvHLTj/qu2i0QHFwcl3k43FxVwog/NTuv7vjAaFcRmdlRqFAHntDvCBKvNirDZAtHP366h2VG4n7lpZDvD54r/6eoQ85VoinOP9x91EHh15ChTU3shD6+u1gLcboSZJyshmdx7Ll9D33UXsYb4KDQGFtrzWYFTxhYexKyuU+154Mq+UIhEDnUeZ99dLu9N2di9ObT75gzpLKNSjRXKkW+yk+nK/vTIrN/trnvjvIrfdmM12d164E9bE6HeMa2nBPFx47UtDl6xyECtR+avep6YFS4OaVp8u6t77Bf+b3V+bUgXGshzjriblckZf7Y9NTv/o8V+UWNDRZfeuzGvCnDR+XA15/Bv276/jO9Gyh9z7/9FOA8MG915TY+siy6kq8bLHl3JwIplkFUaLU9ud1EeuTBDLzO2oyldoehQi4YgeXcMIE1IbLCiO5ofK0Bmhz4kPdD29QHcJtDGFekYfzewsID2deb1ur2UKIVdBdRbEO4jq60IQ2zXEQiLAi9jjDgHweP4jAJ6FAmzjuC22+u8Sg5fH6UgKKZJNCeOlCSkwZwqW+e30cAcDsq36xiIxuIRThgvmTDANmLKaLm4SIE9bCcFsJcioCl11XnJi7KyYEm/Pu0rcGDl2TWQleEyJgXtznwoUnanEXRIHGR3fPV5fR95z4kRlouyveyG0JQqu/1fUrgWUfhxP1rM3zvjpzZuG7Nv0gIYXrR1bH2scklHhcBYBQLqME9LsQkb8DlrNLbY+aCybERxp31ciiH1nocyECsLp2zUi4ijUX7kLZssxeGI1H4E29/KPrH5neXmIIz5akMr4eXTuc17f2EElmXKD2WNtYG/GRcC7gp799zaAKiuv83Nxvs/y55cotVRERGBZCLFPMvdc8DPrS6stJcVSSynx893fuaECYYwiht27Jc0UebrjMK3Pa92vfaLiR6hriCN2FtL/9pftovPtGS20fZWUBiWag/W6JGGUepY+XLIYwXJjDbRQBHYtI9uxAGMVqCJ0fAZWRW6fTPixMWUnl9MvdNaGv0Fp4DcpGVzI5L3EFEDTpGyVmXC6jbysuo2ufGZAL9HVSVi9H6ecg0dtxVpCVX9CqTPPcwuXeD7p+RNNH4EjXuhXTgaa382cXw2UUQOhA0C19Dn51v7xuApgvXUiZB+aAfAGuAD2In/jcZR7iv7PHSKWjA2Uwx+lXjwOMPfXI3hcqILy7xBDO+7Zt2xEgpB23llNeCDfR+l7rvg2LIu24ld73Nc8VAPRkf1Wh33hEntcMDNUGXgSiAZ6VnrXuAFFJZe7UJGKrG/2QTmwB4SFN7O1qNieVkXsohZ+9+LBcRTNIi40erlgZzNF/Ty1O3GAuUO1uRdrcuHq5TzhxJzmYGA0wbeBnjqbJ3Ywq42iESLwOC+F7ioUwf7r7RCQWkDtEtRI1LgUDcRDobcBLnTFiOfTrnEFmrWsGehXsNqakNmBoAwPmRlpxBBCerflRltFvlaQyAoTLvoeFEeCDZSmDv/r+m+AwspzNa6D1+d5SJ1zuRIrHG7l7jDSCWTOIK6Q/d+TCo2fjjuXM3scJIHx1Kzvh4+G7A+Q653KxEwhrSPMgzXBdg+W6keY6WwLUtmvP6adbBUeabO7L5xizWw6ydSEDQtzfqka39rulCS/fc40pB/4I1wjWEZul+OLYBbgK1b42kSFb+mNe47767sxiOLtQmQJJiaoEB0VLsDjpOq+Hl7XS9Z2Wa64WAWELCH+mAKKTda5Hbv5OT7nGXf4dZDsNRrnn4QAupPn+y+EGEuLcyhiF6UP4627APYaIdj1kAEshMavwC/29XCwFjx75Qsm0+MaF+2ley7g71/1e1qQDQbXbLYbLMIBuketlitasVrj1u1UNejHyKvF9426iWUnlezy7k359d3d6auf8IoYwJ0CB7vGesHJqV9aEOU1ad6Edd/wMAu8p1R0uFHqf4w6ddmeAl+leXXvN2wZayDEBtZzwhfsdTMZ7LC6jlyKpzA+dLrQjWTkZTwa9lRaVexVukbPGck+2/mF9w6Mk8xD3IvH3p+sAf6wF6LvXE8zAlMRu8ErkFNF+fzaA8MwcQ9gt3QNjbs22HjJH7IHL5bc/o8s48c1LQ7iyZrNcRE8ihtwY8xzH/JQAACAASURBVLwsL+GlaKDdmS5Bm1Aa4qbu3md3ct1Zp7e34/sWEN6OWT7EZ3ih4p0jxQZXitFj5QMY8niBwqs712ocoQhNLkWRQZuYMMfY0LTlLklon8kQ6ALGzYBNBRpTvHq2PDVhNEBsCJidyUXczMWSZODT00ery6jOIky4KwXHRxY8CQs6Pkpc4wk5YGDZsuTMEEJ7Iy0k2svMfLOmGMHANcy+jNQXLITvPFYshHJvKv+cQC8swY0pVwbVLIM8w38jQMT7Xsbl8Xy30nmfsnXRwa9rpb3AL3MbjGHdUubn9V3v+GNXvlrqEJbC9KfPzN3IrjwO+PL7Yy58nvyYC2Su8a1z0ziwA0ONUVn/PFnALGS2CXAlAO+c98Z9LqxtWCFxsSnP/1CxEL61lJ04e+x4PYo1MCdW8rpTFeDaPKMZ9veYv7sVkLYF/GTpAQBiwWe/ZtdRtxzhPurKqFHtQe+HAxXFlNzpgJAYQs3RCJzPtLKcZe59PcsFN/Z4rDY8OTxkgJIgo5IU/m5QGrJHSFYW7TZhs1p51dOurIq934VR/SZxUXYb1TkshEoqgzcIXiPUmY0xxWemnQYC6TeeI3p+Ls0A7QfYuacF1kfaQXFT30NjUQIrAMaD9lVWRrk7vz8TuiWXUQHCt5wMC2H2iuCYZyqd6VNThmblGvwIsOZlLjzZSbyrZm1rY6XtBYhtli9Xhrqya82y6klUHGQDYPV8XEaVVEbteMw7Ss/wBOrnRh4vmX+NrJ68N+cn/i5zSYkRSAYc5r8jbxLF6Wdw7TxH1sI/m75Yy06cKS/G+Y97hNT1XyaQxDH0eZQ8TEAPuk3uBWgFJYWqC795UNV10Pa0wgXyfob+xz7E+yP2vBegJzzI+URd51WRGJKkaJJo0J1cZugg+nEY57aA8HuY1X/yT/7J9E//6T9d3PmSl7xk+uY3v1mPafPp/L/+1/96evrpp6f3vve906/+6q9Ob37zm+d7Ll++PP2jf/SPpt/93d+dLl26NP2Nv/E3pl/7tV+bXvGKVzynHnldKpWd8JITAL6rO1dr9lHA4sliRfRNV5mZMWoHgT1bXAgWuJBW5rOwE3WhQudIKY+gQZyJF0jWcxRDqL/UJZNbKWnKl4w4SLtrrmQhVJbRd5ayE8BFBONgYGEhoUYhbqNqCYJJ9tFcky0nm0E4yNrBIMBdC+oa2ey+k0FjnaemtR0BBdc05xp1OoeF8L0nXjW03DjgcCuhu6K41XBk7RyBk2z1gzl5HaZ4VxGzMdIiZ80712d3Ex1XgoWajrz8czD50StfmQEh4xttnhw3iQa4zr+ZZ7EG+rpjb9Budy9evneEGLf2jo65ZlvvHmFP74TrR3PA83VdaKUDEMpl9L4CCOl7zEP/uJZYR9eyii7jQSKm1xOP4Bbq1pzaXrIYups3vcBK1H8H0697xwCJ1yTECyFrlMM16fa7jP6g0PxM7718UF3PzbXW5y1/d6tb7LsQxBDA3IXX34/XpnW3Ud9z7hLs64f97bQ9W8BYTw5wAYg6JwWgsow+uPf65tMST6bmLMoO+uNKKJR/seaCNrniJHlXLjw03DOE5CJqhyQumYbTvoOfkbLOBX735iBmkPmBrpJURjGEWalX57d5PkDv4EUApKwIynR8+R6XLp9+bgSCOQ8NY56dBkAb4UsZBPq8eTvwxk/sPjE9sH/P9IrTJ4fKQ+/XiIby7vK6o+yIA9xM13xtOq2dx9cWUAb5LhsAutesm91CHdZMLITw10f2Pzf96N7rCiCUzNQ/rghEjunvI67MioB5j7SJzq6iarN6mjRAKLp+spX8CtfSZfH57kUQCke8AnzdLNdQtKFPVn4EqOwJx7YWwrVZvPXHt4Dwe5hTCQf//t//++n3fu/35ruPlk36ohe9qP7+l//yX07//J//8+k3fuM3pje84Q3TP/tn/2z6wz/8w+lzn/vcdM8999Rrfv7nf376j//xP9ZrHnjggekXf/EXp6eeemp65JFHJrV1sx+PITw9nemalZIoJgjB3pxltDL8ctwBobv4uHVJ9yJc0BcEh2h3KTByDe3hOprb7NdFTJAAYLa+ZIEcIcL/iigRQ/jQ9L7p9BHVJ2zJQxrnmVPsN0tgJT7tO4I9MShoEkdulfP4Vyxwbt2Dec+WTnMRjecv32wGDQdZCt3yqese371UXUbfdTxcRkdCR9biwgz9Oc4gh1rfSvx7QhZdk61/B2lZ63oxYJita3mtL13ApkmZ78Q6BIpxoVSf//TK4yXL6Etq2Qn/jJi5u/boWgd22QJwUP8i+L4/bfS+cB2tzyl9RqDB4urriblZE6S4lme6MILL6N1Hw9oj66Rco0ZZRR0IuotogPZl/Sm1hQWmjrcJBRLO+Z6tp7gLxb2WjbUNYHZVMiDoyUoAG04vsDRJm3y1/EOD/Hy4jP6g0Hz3CDleyk7U9dPm1OMHccHC8po1+ZVezC7BUSeSYxkwcjzHeeo4IN5LijgQHFn9XVgMS8TS4c3Xkp4BKBQgfOzIF0umxR8dKgCxEhIb627Saod6m96nbE0Pj5K+v/nmICsrzhyIxHP6/U7f3ZuAJCweXzYL1XU/dprJu/tLFaYvWUYBhDyF+wA2gEUfRbaUcc5BYX5XDiKyWymgxrNsQ+dy5lW3FjI/GRR5X71N78Ofl6Qy9++XshMJEGbvk7pe2zvw8QG0XTnKd+Y4v2fomc91BSxlybqssKB5TXmZlbweJ+lx9eGl0QG9zwX90nkBwjfsvXa6p9B77Rit9+pVUu9f0nBXeAeNiA/rANkIBTrgb+TSmXdDNQq00ADOde+AOELoD88eeSngYg6NIlwAxRSxzFtAuEmPDuvIFhB+DzMr4eA//If/MH3yk5/cuFuC18tf/vLpF37hF6Zf/uVfrudlDZQFUUDx537u52oyBIHHf/Nv/s300z/90/Wab3zjG9MrX/nK6T/9p/80/e2//bdvulcOCE9OTUAoiWEAggKA+q5EMaM6UxwLYlGsc03DjGspGl+djxZ6khkEB08o46Z+L2ys+2fi1twBepubw63CcxIWPM2xCOCz025xoigWwlJ2omq1zSKo+0ksI96AsJAJI65DAEXOe72qnJrc48pgxs7AnfBCEDNARHvsSWPqfU0QQJtYgUzplKeprm0WCq46hAKEchkdFR12gOhCTBZCRpbEzCD9Del6gTTNi1yM1Ha2DuY36tbS3JYzbfq5dr0zXgHCl6gw/akzC415BrgO/mVt3FVpIxNCNVZdc7IMDAtkZ5y9t7S7piEmOQxg2WMg61pvbr3uBsV6c5A52vwzw20WQK3/P9l7uGYZVWF6fQK8BdMfJY5BQEYY4DkIBdojgEP2joODLHTofn8ffX/3vYsrOM/CMyGP0cGGuxxKsbRRx/B5qEP4g0LzPWb85BSKkFG8n78bjzHMVjveg7v5B/06UuM5uT7XK3Tg7ha9zXjEkMw9iQR7y9eAA9bswo81YrcklZGFUGUn+GDJ4O8cH1guAACSSKOPNb5pr8x8oQnUuIsiZGMdXFMa1bnSvrbBjCxh2YU0e5Xo9pGlhOPa29+6fKUmlZHL6Ehx58pIQAb987nOIBAl2ygxF+NSbT+UcsydtznKUq17XRkW66or9Zxn5D7RttPHP7/8RIkhvLfWIeTj9Jox+zzkGrS17yteK4s5gg+bcsvPAwjdmuvvChDs5ZJ0nuP5ffRSD8uyRopjRAn5sf2/qDU4VXaix+J3CyBteuKYnEnan+vfKS0U7zbadLdRpxvuRlrHVC16m59sgc5GBHcX1d3Ur3ZeoD0hBeC2DuHam7u1x7eA8HuYTwkHv/IrvzKdPXt2OnnyZHUJ/Rf/4l9Mr3nNa6ZHH310eu1rXzt9/OMfnx566KG59b/zd/7OdN99902/+Zu/Of3+7/9+dRGVRfD++++fr3nb2942/d2/+3c33FG9iwKX+sdHAoKA5FtO/x/F2hZJBuQ26gll+I6FkCyiEDA2NYCvbvi6zUPTr09OY57dRemPWwjjPlnuwh/cN72+6xiZR0lAUAmAAOwce7Lpiy5gKIFVwqLKTshCOJeYqCCyB1vX55iFEMKF4IAQHP3pn2wpdEuQrjrovDNrd0dxULhwT5G2sZx0DWJelhlwiiE9fvnCnGV0ZIGLsQcD9HiYkUU2j4/n6zgupn6M+XKXUAdzdR22Oc3MIoOfGQTbehtZNrN7pwPCbPF0i6bPpYDspaae9Xnx+cNdx/tFG4A53D2JJcnvy+NbsrDorqFujXRhya2caKRnC0N5nwDCt+y/o7iMqvxALzrvrnMuEKiPEjw0Prem1+LezeKPYB3X9hgRxufCv8cQeuIBjQNrvvYypWXcajWvJXktFMjnLosOPhBOYr0FLXo+YgifL5q/Ru8VQ6iyE24B1NzMSouW4AWvDgf27rave6DlXIOSMAtwnjGaZ+V4Qd6xx4XnvTGyCobLZNSj9XIUQcPCpZUYQgeEQWfCKo4FW+uy09rCT0oyjZOt/qCuny1FRp9ywhHnIU5Doz8xIo8vAxQ6rXOlkgAhNDjT6nzcwbYnKSHL6I+dfKA+f0TjvG+jcABojPgSYG0UE+59Z2xcH3O++ckAwAFhdluN/dx5BK1lhS3P0lx/5nLJMposhN7OSDEpen+hDDBiu4MXupeMj4J1oWO45s/9akZsD+NY42PQfrKuujV0LYQCeu8lh5w/6fjHm4VQHiHuBYJSG6vg7P2S5jcAcwykJplpicOwz2PYpmYox2UNVP+UVVQ8IdZeJJAhkZi/S63fKy2BmMcXS9arfWi8hr/UnlW7MiKQdRRF115RBG0B4WDDHcKhLSD8Hib1P//n/zxdvHixuoN+61vfqi6hn/3sZ6dPf/rT1S30Ax/4wPT1r3+9Wgr5/MN/+A+nxx9/fPqv//W/Tr/zO78z/ezP/uwC2Om6v/W3/tb06le/evpX/+pfrfZqFMuii9926qfLhj21kWF0zSpIfGFOCBAEWC5EYXVw8ABgjGsgF8uuejkKnfHn03a4ioabGxplCRAACGmT9du1yi5EiBjpPhWm/8LOp2oMIX0isxVCgbuNxvOW7hPhxhekUOfIOhpjjw+EslrrykHcirKW3F1JYMzMDgw2Mzx3K/GYivm+Buhqf/Ts1hl9/8qVMSCsc9E6Tz+wgnm/EEyyi+6adXDkbro2Ts+qpv648MTYstth1pDnOeBZsvIJ1JFURi6jDlTqu6zvqrsu0hZ/mR/No0p40EfWAu+StvJ9LsRll6g6/3VdLdOcex9c863HS3hQYgF9UCLUd97ckzJA1thkIVQMoVyI4tr4rMWR6JyEgJ4Axtd2xNtWy0gTsF1AJ25ktFa8jihKHuYg/kaNUWgK46prsh2nBEV+T9AHpzd7xUJ4u9OQP180/0b03t1FQ1PflW+z98JMwWJ2JXAFnY5V6O6egEOPJ8xeJGvWwYVl3txRXRDU8wD2tdh1A4D6u7TCLcsMaS1eLLGjjx95tLqMaj2QaMw5kSs2PLaQfZ2VJSgEc0kKwEGmbwFcN+vQbSgIyzgzgBp5CLDeUTD5fnerqa77askyeq7VIXTLPAqe2PvRovov6xKfNatYHh/Xu3IKQMieBugBfABi87PqO45Pdud02qbzOcN0rI9+r75j5ftUiyF8+akSQ9isspmO+r0O2BwoZxq2pjwMy3QPlchuoWpzxFfdA8TXgINijdDBoQNQtUlpIV2HckIuo28sMYSnknKDedc9ZFNXv6UIITZcbQAc18J93PI3stKP9r3mhJrTdW9UOa6HE2U5EXqv67zcRKyVeJt+j5SDV4qc99Hd374jywzNG/g2fdkCwlsw0RcuXKhWwV/6pV+a3ve+91VAKBfQl73sZXPr/+Af/IPpq1/96vRf/st/WQWEf/Nv/s3azq//+q+v9mpNYyxAqCyjuIdiJcQqGCG6RVO6H1ZEAUJlGw2CI+ZamHPbkG4VlPYmiHQUJ0aoG9W10iZ37T6bG+0/7VK/0GNe1twJ3LrCpNDO+eny9IXpE9VCiHbY3aNC4Ajrh2fT8snN7ZOmvPa9acAcEDrQygy7zlNyNXGG5wxg5GLDsexyVAWQQisdDOr7Y5fPl8L0T05KKuNujG4t47sDw8X4rb8aWy7ezvrwuc9ChMDM6aI/OFeWigsHa+6QoW0cF2MGsM+ALTFl9UNzKqsWFkJiCGHO2ZKYQTBjcaspx1xLnMFYrIn+juvcjPUiMyB07bALR1nDnq2DjAFBITTbAeCwBn5478PT2/bfPUljLAZO0fnsBo37qCtH3I22x9YEIHQtcCZEXmtqflcNirL36vst9AJ30VECK19XnqwEYYC/buHSPbWtAgif7yyjt4vmr9F71SFUErElLesF5P24A76g5V1wcxrdLYRB8dYER1y6csIZ3hkZBHlf2TLgNBcloNMXF7zdEnG+uI599UhxGS1lJ/LH3dtyRmquDSBTPEia4Fzdo60h9iQgUTTKLYV17hIIYK9V19JyflRgPuY86LfTZtrLY1nzXJCFUIXp33SyexUBUEcu565EAsRCV7JnAu6Wzi8yraM9jUUliM5diZ5zL3Tdj+XyHBnAeYbXrKxlLk8W3iJlmVxGlVQGQMi8jTxTah+SUnRM8zbDB9bo/ryOGj+WIhGFeaXPiRfktZ1pPgpLtZs9Qug/70PXfnL6/AYgZK5rG1KAtvXdM8322EIyiRJa492VFbDKS42WI/tEP9S7nu2d/UlNaV+/eAi4HIaiCiMAdML3OW0gU3mCsd39S7ddAZj35J3yewsIb9GbFph73eteN/3jf/yPD9VlNHeXmJI3nf57RQN0vGYTnQlXKUHhH3cZRTvvbkAeUJwJFNofteebvlv4umsogsLcD2O72ZKja0ZaJUCqM2wHYDofgPDj07t2PjAPE01ztRBWF6Qo4o2mrD6vIasKCCzuCmIKIY/4kSYcrYDD0LyN4z9g1jHG+IyYxOgc4C+/b8Chjn/tSo8hRNhwjSVMKgsiDpicKGeAm61SviZgVMRrEJsX89vGOgBLbrnLwpFbGPK4XVvLfQ9f+XKNIfSkMm71pL+0lS2Q9D1bEn2NArRJ2JKLDLvVVs9ZEwoQmpgfd2/CjUnnZjBXXZ+XEwgohFkry6hcRu85WgqGtbU1x7Q04QAhKNcaZE8QK0iSABQr7CPeiZeb8HeTNcAeawIQ1DXUJvU6gxIQusIpFo1q5eU4txy/srt/saSg/3fPu8b4+aD5nmVULqNuEcwlJDK9dBo+csV1+s87zsdQ7um8J4HI+9WznY6ApQv/GcC5OxzuomojWwiDrnYep2+4u+kc36v1r3VQz2WP6RBxhvTfYwpDYdSt6HwHFGba6XNAkXMsWR6nR7y3g4gRvc+Kt68VQPj0zrnprSdfXGlD5qXQC6xaWRnoAGkNEGoM2WqXgaHG9v+z9yZNll3Xvd/JRFNV6BuCJAA2YgOCBEmJ6qXngcMDDxWOF47Hp6+hD6CRBvoYmiiseM/hmTx0WBo8dXxUA7Cn2BMk0RFEX4VCZXr/19q/s/9n5b5JWsZNypH3VlTkvafZZ5/drPa/1oIPVQVvQxuEvpDB0Q7yXI5TR7EaMd0wiFfx6RvPL+9dHmgKYVv3ve1aqw9luo570OZOT90YSddcsdO9I0HXFpmzGnyNNLuhlvZ0TPH13g/G1XmB03jGGRTS6JvaOlmeOfpmKIQYH7R2ddy9gk7v8523KBAdo96g721X4LzMhO/FM/zI9hR9BRLK3qz8wdctMl4CUnNAkUvz/pSMDh5C31X7/X5QCN+F8ZUVV549wUL/+I//OKCif/RHfxQew1jQb7+9vPe97z2TVObP//zPl89//vNxzY9//OMoOfFvTSqjGEIJCPpQb7DWJOR3EIX2T7GEeOnw2pFOXATCY02wKo+Nnxt4pswhNJA6GGFwBm+qWU4hUmFRjT7kcypkVALrG00k+UaLIfy15ffzvTuU1GFDNYucC8Z16l1YqDUKIYwDUph3u/ewKhyVyel6EWwxG2CG7lFzeIn3raY1j+e2BxNDqCyj02c16uzJZur7Zv9HELsLIDPF3S2nM++ot++E3y3LCEaxdrp3ku/VYlqhPbTPs/EQfvDKtVUJ3Qh7fXZm1tdYU6vBYF6AXtfMlGqUQP3V+8DomT9X+meKYB0bt+5vGGMYIbYw5fQYpiDw96f/0OBzv7Hc3xRChC4ZODy74nmJZOL9TOkc8SWK0U38aho1htANxC8VyWHgWAXD1t4u67AjEIh9Y069zMRMyZSiKFSCzv0ysozWvfPLovmzLKN1nxAOUBXEWPMdCVIzSDO21UvocFHWCygQoP+uGHlm2HyenjQ8jj6OHi6woUVxX97jhjxllcZDiEfQ22OVDsVtlB3y69ifdZ/iQXQjJCEE8risWUwL7UrD4dYjVRUfaFulFfHeveM1JADYPfRRHkLqELpwviJvOr3gXatiiFFN52elh9zT5l6/6v2k/aqwrsfbl+oprYgPNwhwH8+ve43fDhllTGJNBnoi4Z3eFt/9nK7FaKb47/OSsek65sTf1ZVpkDs6Hwpg6TxrzLNjs9b1tyqiVSnUWg4Frv1/+ujrUXJFcg5zAvoj52ubadT3Th1T9Fmv9+nKn66XcVB8QG0jf1XYKOECLgcOGtK9x13hmxkwqkxIP70G6iHL6K4d8e4fPyiE/4YxVf3AP/iDP1g+9KEPLc8//3zEEP71X//18swzzywf/vCHQ/H70z/90+XP/uzPlieeeCISzvzVX/3VmbITf/mXfxllJx566KGoSfjSSy/9fyo7oSyjqzDQEsusBLp5Cp2x6xr9loKIFcYho9qkst5juYHJw9i9NqGeIWEtCHTHhV9pd3t9LKzYLoxUaEG1VkGAsDiRZMbjC+VdEGT0cy2GcHj1RrAzfYJAiYiCrV/HpngA8Rp6inIXiIEZeazhaCu/YaXEu+SMWeelEIoZuTIRTKIL/9nv3paIcTtehQWdrTGEdSnjrcJDyPkKpdFxj5Wg3xBwvHrRx6Jk8a46h2Do2epmllofL/eOcbwynV1M8+/e/s7y2Mmjy4euXl2hnLyHv4PuF+MmVhDFFgHCr63CwkZZ22EVZu25Qj/zBFcL/S5PKuMYAkkfFESd1QLcjgsy+quniiHMOoRas5xHuCVmiix2OYdby3EIHecohggEnuwJY81UsOtKYUDoujDgscpnFJiegCA9ian06TMSlCjxzPAc/jIUwn8vNN89hLcfXdkklcGop7EjRrB6BVcvko0zlnpX5P07Br1aGzLoRvsHRBSFn33sXkJfJxJobzRBk7jx6G+PJ4TGYAjEMKg+3mir4Lut7MQTJ5+M6/0D/3CDkCsIutY9H+wP2oiYOwxEnSdsit0XhEjSu9xL9TkeJ6c9vnoL2cudnse+MhCP6LWXXIjxbR1FSUAhfOrOh88ooI4MmSEcGNfs9/Aurh6vrlC5NxC674az6nXMcc0Xc8Ofew79nNPTzQT2H654AcHlmBTCB07vWT7Y6D0f5y+8F/2GN/n78v6MRz3noRdxbXu3mQfQM0hXhE/1iPqY1ff38dfzKDK/wvj7i8rQJ4XwiVuqQzhS+kHvnfbLWEeIjK9T1iv0fuYVnI2VK4S8GwYbFMJ17Lsj4YxxvB+vc74aMzoP4DwyZfgOW1KZi44Zn63Ny3DsoBD+G2b5D//wD6Ou4IsvtjTIrXyE4gb/5E/+ZHnqqaeiNQrTKzmMF6b/zGc+sz7tegsQF7xUCWa8ML0yhv6/+Thk9GqrQ4hC6IqhFD8Yt2IL9aEWIS56KYZS5N5qbDcIeFdJZp6iPJ/Bw/qn+/SR4sdGnmWu4728SD2EucJVEWQgtp5gJgXHlnWuKYRfb5BRxRAm4eveRBMWPPFAxc6LF3viAbWBQhjX9vMk6aAvbnkDVqR23Gob4yEGb8ddwYLZOYwkxzWtajVdtayPnhlOTIoYQpWdiHEswkW8T2sQBQtrZhWaxrgNhWKXh7AS+pml+v7mqH6jxRO6N9Cvc+Wzjtl5z8Wii9AihfDRk/dH2Ql9Vrhkm4mZ0staqwqgK2Zu6Y81NREIquLHvDEHM9ioW6ZZq74eUIx9zeSxFDqzz70sRF8jKIR3Hct442snF4LDoSO+MI6O2LCIKi5W5XgXrf3+ErP5QTF0QcH3Z81iCdpg9UYbiGxjqOpKH4mp8AqiDGLY+WVARv+90HzovWcZ9QQx7hV0OGnQgq4EIrxVIc7LClX6rfvdSyua70khNLcy0N3ZQxacfrv3GMNetjdQJivd6x5pCbXsK+IIlblQdQifPHnSjE9DMWR96C8eRDf65P7fhgz0LbGJv/ISRGpd+8HLUYx2hjLkXsIZTURx4XkeT+6qLbQF46CXq/h+kxlePnpl+cwd71vjEWnPFUL3tGEIc7oWBoDY49w90BrnoTbG1fkNunlvY/+vNXqPF3SXN83vr4qn93lGu9X2l268tDzUFELFEFajYdC7vp7cSOnPFP9woyDngs4anefdanjALOnbWD/bWMpK22nTDaD+nrpeNBq6i+wR+yQ8lUMhVM1lL6mCd9DfFaWPfWCiQZbjkle7y3C6r8JE4QEkFhu02/iMhTWwxzECruOCTNZpD7ygZp4HdYCcGn3qhsVDltG68/b3+6AQ7m9sL6Rlr0N4R7MYS/mTMqgQ4BpPqON3nt4R5ylFERuvl6lACayZ6kRoKWiv6x36VT17Qfh2QISwNDMwK9HshMkFR6zHeAm83fzeMk2aQphMbngHReBkJXOrGMIAcYVJpJ1UnhWqIz1zg+chWAArhZciKOyCDPGuOl89hc6QYBi8267Fg6Cg5zpk1L2BztxQSB3aUtuGMXFt9eD49TAGZ8jJULaWcrxwem+/xy2wjCnXMgaztn0c6e8/3PxOxBB+5OrdcdqFijq2Pr6+/lw4pg1/X4Qbzxyn8yybXQWW3Upc+0b//b3rJ/CqJAAAIABJREFU+2l9AfesMVX6HUl1Tv8ukspIQIhn9EbS2DAyzuXzc8W6x5HaU64Y+rvXZAJrwoFukNlYwmHe6xNEJxKJkH0b2S+Bkq9z1O8Fak4ZCp13AxOeQ8WU/NP1v/ilxxD6WF3Ud1cIl5YGvmYAHWOKQpXjj4JW43WqR8DLCd1s8yesBxlH1zXaWiOxjNpNxbBDPG2+3Uupe6thQMcwDuZ3S9IR12d6ewRXYgg/0WqxUZpC5wR7o3h9vmt+iCF0A4en1Heanka4TAzj3naORf8NTcJv7RGUwVjnbYNB8/KaFjIiRaTdi+ewehDTW7k7IzFewh/euL680uoQPnXHI2fq0jI3KIY8u/bH5xvFEEWurgXapC1d5zQ21lQfbAxevPsu9IN7xHYZm9d1FoiZHF/9VdmJB07vWh5vHkJH37giCm3lfKwrU35XBEWH+Fa+zbNdWZ6VEJrRf6e/qaRla85jaMvhzeOZ411py2toPt0CZD5+66OthEruGvcKxhy1/15H1pXB1bBY6LQnj6EfnvEXhdDXghsf1+d2niAjj8f1Or3xNjBOOaqhxpqPcbn4rNLe18v0/aAQ/v98tl0hVFIZxQXiBbyl9OJNAeS3zkmxi03cE84QM4jSF/d30dJrwgRh7czeoUEIGhvmsbLkYeXJ+3sB7S4oAk2tSp/DSVfm0L840VVSGQrT1+dXCNyaSKb3zdONr4K3NVKhoyLM+iiA261pwO9CAe1ccGZ5jffv3sKdXtfWGJbyKiTMYKPffvu15eXjn0Zhen3cc4UQ4d5AXVM9XhVOyhB4H7G8rvCOPhZuCY7nu0DXBaNq+XUG7N7TXc/Fesv7reuhjVWNIXTvWt3WYYHtE6N31lzJ+n69ceiqEPsz8bAiSDCGtA/jr1AnP+6W4F0W4nqN9z8EMe1ZO4hC+CnFEB6PQs1VEV372T2EswQfK0Szp/4fqcq3meXinYzxUxomBMuu+nENzw2lN4xTt60WfKCHkVK8KxMedyxFxNeflBQdg/78MiCjdT39sn47ZJQso17Og37VGM2a5IU5Y+5ncFEdc8s99cJqjLie6fVmd5Utmnl1dK8LkDOlkPsEGVXZiY83hdAho5Qaoq1q4KAEkdam72MUQuLKodG6DkFce444LVAjeA2h/Un7xsdpgRvDqpLkEEsMffkO29hc0CI/arkKfnb0+gJkVNdCX92bxXvMFLhqAFs9P51e57t05b4rZH6s8gLeeqYAnndM962wyEBCJH91Y2Q1TOIhlEK4qx9qwz2FMZ59cq62gXyzuWYrCmTWT+oBitU5YseVQ5vy+FohrlVJ9n7pmbUtlLM1G3RfB8D+gYxqPYNsivft/CH5xPCO0z/3nMfakBGnG1Gc9leD+sw7CLTb+cws/EfHvNA88+IJB71fblDCYAhNUlbpQ9mJutr28/ugEO5nXC+sVVcIFUMo5a9a44kXnHVqlPBNK76nFHdlEcbhKeJ1rScjEFyIDe/WnlnCCK9DOGISE0YErIii1hATIEb6rVTmry2tDmGDjP7G8h/i1SC4KqCKUKDjZE5EcNDfhEwksb9x0izhPStphU54HIkLBGo34k56TSA8hdmPbbIZ9545I6vWUocVVcG+Cgn6/d23s+yEK4RrmwaBqQwwmNfWMXrGu1YVuWAk3VLLvS5M1DYdnupzU5Vl1mT1Cuo441aD/znnHkJvlzbPe0cXNlwZo233uEb/5QFtg07iABfg4t3b/11FhxkbFxB0bNYHPINqjxIgDhfl3fT371odwk+d/vpyXys3Q8a56hE3VNgqtPr69DTj6THcflwRnSmbIVx08LgnKtkl4MmbJOXBaQKQ0IosCO+PxQ7mOKug8vVfetmJMkwX9rMqhNVDCO13wQs6vu6L1aun0RxeOZ8/V9L8+2gjS1y4QpnzM1bQLqOSK6Neb1b3i67rw7pkb+mvECFKKkMdwiEwJpx61s/Yz11IJuu01+3D04LBL/alDHfdM+XrvybpmEFJc18PCKYvDKdHeK3w0o1xHXegiBAu8Ozbw0OY/RzPqZDHGDfzgnk/Kj86D+1RYZjuRXS+4vsdRU/P5DjPx6uIsuqQXucrsw2lshOCjH7wWsaM+zMdkTLjXefxwNWT12l89Q5W2u40kiynOe9bploVwFV5DzTNSBbmNNrlD7Up5RAjxpdaDOHHb32s1SFsFLTz4tgrnVl5SAzKFkYLJYdR/+RdRHH0cIG6tt1wkHOWSuRmPcfe2hr9axwx44JhsBqgapkyr1uNQnlIKjPbDfs5dlAI9zOuF9YqAoJnGSWbKELBxjPY2KZ7ASlF4RlJ6fwsK6gnm3Ei77Wn/OUdJipvgCuNeraEEGJRNtbURoQgLtSxcqYpQvRW8y986+jpFkP4O5vxplaaLF41Gx3CQTLMjJWS8DErZJ9evwY7bX+JKwFOFPf3NkR0EdqTAOYHKyAW3mqNdYXAYS3nJWWBaTpk9Nebh5BnVIumM0KHNxIUXzPZeb3D2SKuCucvInTAtGI82sS5IMM4ORP35+Kt82QLwHV+UYUQ63l9t/ouVaji90w5VB/xOCDkuJCCoOMFh6ugUj2kutY/MP3Vks46688WZFQewnubh1DXKvOoPih821jAHovYLfHuVcn5ycLg7h1kfUrhG3svV3f1NGoP17qinrlY9zgUlPtFA9xLWAUG/a5JS/491CGc7Y2LOOZZRskq7UrY20c31+zReAndY5frI42GtS4Yxj0vWF+9C+kdLNak1matTajnVESI0/fY953G1+Qz7C1fY1qvyjL6/eNvtdT7n9rANz3eKb19rpQO5dLjyQeN3pYm8jmsyqIbBKuiyH20y96txkFdV5EU0AElG5Pypw88wA2BUghfPXpj+cyVh4OORlv9gZVWzc7FmBvEU99rX2jHlVfop6515YN3rmEAG4hk62fNdH0ekgMa6WsFZe/Lb7/Q6hDeFzGEdRxjzXTyOfP46bzHAOo78Zl6v4rA4N0ckcS69DVSDZwY/VzRVbfgz6vyGf3dZgXN+UmZJBSwRs/pl+SPf1m+tiqE+b5n79dxPc/3Tt3D3n8g1xVKzHP9L7TZk0HFuHb+UD26dY5W+aeHD+zyFnr/9F0K4SGpTB2V/fw+KIT7GdcLaxUB4d4rTy7HTTA87enixfLFuutf79hR86Tpev0NQtK+cz3X+bnY4HZPvTcJWoOoNhc/9+mYoKwn1vasb0k8qn9i9PZYXr/+bnxXO9ff+dlyd4up4F037yeRQ3GEZtm61fqm/vh71nfO98z79DfHZnw/77dU0Po5CYgscV7je73O52vXAvK+Xj95tTGNN5d7b3//uetNz1Yf/MMxP7frutn77HrgrL36rF1jwTjN/sbasvfQ91feebYx9buWu46zUPOucd717ucOmp2crQ+/N4GV2w9reXau9tV/09c6F/W31uPrN59brt3+UKznWX9qH/y375e6d7TPtMf4sO/4zbl6nHdlv8ec2b7lfq6b7dncW0mTdF60RB/oDm28ev0rlzqG8JG7freN7e0bOjbbv3Vdck3GmG/XDevQ73F65vurrqX6nLruufc8Gh9zr351fjFr862TV5Z7bnvPhhdEv23NVjrqfdlFY50nxXoLX2fSfkfcKAzDz9U+KrpyuxflmRFcOv/u+uj8bRHeYcaX0y0/vN4q777TwiTuWR6eNoN3hTaO+/21dEi8U3sO58+uke797ddw7awdb2tXPKu3Xz3Xs3N13Lmn4WGWO4/uankQWpkh0YYJ3VV77mVi7t45anGuZTzre+8aE8bzvDlU2z53tK17cj2NuecYx281kzj95r6aHErH3zh5KXhdpd3b9baV+yTviAbP+FGlv/yucpa3X+n5L7K3dvXP+Xy+v/GcPm469s7pjeWFN//+UtL7nQRjTycOCuGeBvaimkUhvO34oVV5uahnH55zGIHDCBxG4KJHQMrwrZOfXkoBwQ2AbnS76Dk4PO8wAocROIzARYyADISv3fj6paT3FzG+/oyDQnjRI/4uPw8B4T13/XZYjNPqlGDMmy3GLkGTw9Lo3g63FusaWYxlgawWKB13S1D14OiZbtWVxYu267312rAMFW+E2sKy5cMlyxXeEPVH1/zs5g+W99z58c2ougciLU/DmlhjJkd5je4lNUsuVlu1Ua2u/kBv/3aLo5xNtVsvZ9ZyssNWS6p+3356e0sK9M7a7KvLi4ss5o8fPRn9c0t2fbbHFvkYuGWT7/6XdqrlulqjY5y7lXSXtRQLbbXE+tjyfhn3urWQ13d87vTby9Wj+5YHT987taxzvcbN32PWbsxxh7LMxm423z7v1eNMW7s81/I0BFy7/WON0gdfs+dZrZ97+6vLg3d8OKzmjDlWbLdmY5EefVLtuLRK7/oEqLB7XfRXGYzVZ47xXtqDQW/6HgYJwD692eL9qkfYEQPuEWU/QD9yPIZne22n1aV67s2/uZQCAvT+8bv/p5XeM4fuWdH83d4KAvl68PWN12rdF33t48lwL4aumXk4dGxGK6r3ZpeHSce1N3/evuO9RBteO3l+efDosYhed56kfZQ+vQS1aq3Wa/I9BmpG1+o6jvOcSr920chKEyoNqe81o/c+Zz6P9V6FdPzs+OXG0V9f3nv6gXXMki+MRHJ1P/+8bOKz/U/W8dn7reWsuneuZij3e4Ij9QzmTuOmz5x4+7xttfX8bT9arp7evTxw8uDqHRx8KPGihL7w3rN3IcmeX38eLayeyLq+q5dMbTk/YI3NZI8co+GtnXkZWX8vLN9fHlje30qGKVeEKGN6q3me/mrNe3/p23bvb+XButZ8L828sC5L+LzW45zzNtRvaJLLM86TfQx0rcpO/OCN/+tS0vvz1uU+zh0Uwn2M6gW26XUIVahYHzEIER/Fk/A7mFWvQehEs8IrZhu8xn4kAbLitj2uxOtUiS2TGdAz0EU/CoZ8KGVnExzU7HeR9S3gTscRQ/iN5YsthvD31xH3OCj6SfYsYkuUpjze0xIRRAyW6vNEVMX4zFKNQ05r8gHuUiIaT+dManJfFsQYcMyD72uQv6c+1/UUtFdSmReOX1h+546PRDOK/+AcSU+IQSFLaV2aXvjYg+t1nWcgJbajxvR5ezWekLhIsnvS5uwekrbQPs8mVsZjHXnXL77zvSg78eGr16JJ73+NranPrNdzviaL4Tjj6OPgsZ61fWIHa9xgjW+ZZRAljsTjNxTHWktJKIbwqdPfXO6/TVDxZP1awzVWymNKSLbkKflzLLbxizVhA+9HEgGdb5GLbQemwjaUzbF7oBGKZYvnRtKazFxJPLH++h5QmQOyjLL3db/q3mWWS0G5L2+hYo8Zv6ONStCDljkamu9CuAvLovlOZ2MP9XjS2JclLnBk/ct6s2P+8zvlKc7jH7RLLGONF0/VbVuPsCapIaut2nqjrZpnj7+7qOzEul9Lv3Ucmg0tJ0FNZkgkm2XGWlGygkQzlCTKuK+hwmWCl5I0xJJ55B7oicZ0X/tPQg/t2ytt4+9KfLUrltzjv/X9xy2GUHUIn2p1CElKUukLNEn9geYTwzcrnTNLtpJjmCM8i8urdL5ew321bY9LrPH0usdjvGu8uc4/c+OFZvy7b/lAjyGs4+kkzGP/PP68xsb5vOWY9RjpnnWVhDI1aU5NWKaYxBpZy64ha2jsm7X9POv9JD8BCY64j4zoXzr6amTYvdqNb5QNynbGHvX4cMWGV/knVDKLGSfnQu2PfkfcaNDt0deaBV7teaIoYpQ9hpj+6S95JEJGjSRjMtgnf9D31QAUoTZHy9sNMnqIIcz9uO/PQSHc9wjvuX1PMnDa65EF4elWQyyIbp3yOoQ3m9J4tVmcQmhrCiMJZygQSuKBkeAlM3giMFAnTJtcSSNGsoieurp753Qd1+heT0OvPnpB0iDMHU9ehRaECF3zalMJv708vXxu+d1NdlKYjadR9mkg8YCEgVqOomZp1H06JoGBTwjFk4QzEHcn+jAYyDVCgieeUbukuT6TeMEyxcH8UUjJMqqkMjFmJcFA9H0r56+lKYpsc0YA2JW1zpMZ7BImsi9Hy9XmdH27Dcrb7eV4XhUmanKEKggoyQLvpXb9/D827/DDJw8tH75y97Sw8HkKYh2Xs1GA2zIPfp55cKFsVX56dkL/zRqqyYd0vCpi+Y6jMLwLMAizpMn/u6YQPnn6ueXB46uhLMY6aqvVBQIJwVISMVCQRKA+h3tZWzyXulKeUMCTzLBetfdFK1wJZL94LUHogCuENbto9kVlJkapCtqKpCmtc/94/X+7lBZjVwivLNdWbwA1Zjd0bvX6JWFAUIu576avatgj47MnokBgW7N6dsHNlbfqNaEf9bjmlEyz0P3sTyYRC4OeidY6RuZRFEIK0yedyfWtNS+DHzQdQdj3AnS/0mAfM9+rYdizk8O41sezJxvDAFiVDU8s4nyA53sNW+i/K3ierErdeO5mZhn9xO2PbJLOkN14l/GJPY2xMPnXslxp9Nnp7yypVoxxa6Aa6pJ2bbOpqqyD2lCZDlcSSUZTE9owtLUdNw664qU6hA82D+H7rowyO57wy2m6+I2/z+ycj9u6Xju/Re7wZG++Tip955zzeS9xojHXOlGiGBLU1bWlceNDkjDnBV85Vh3CjzVEiOhifmoSrjGmmXDGawqyP6AFdd2H0aPvvV0Zp/2Zvm/1vSaN0bFZIrG872wMaE1+w7vdakllLiu9r3O0798HhXDfI7zn9l1AoC5VTYKR8Lu0EEtwuKPBdFAA1T0pgbnRs3g0Ln6EhkHs0ivoQh9Cm6csdwGCze+eADLVacMPhbPXR+wQCAiMCwr0g7IUP201mb53+szya91DGFnhwjOZnj79RikMC5YVrncvioQIL2JPSYogaJ1Ie5kKr1sl4p7vuM1UBgPAO1gVzZ9nmV3fX5k5JXhMLOHfv/laKzvxYis7kR7C4bnMkapKT85xfnZ5DOO5XbGsfXTmS5Y2V7qqt9GzePo5stZlRrbst2ce1XMQrujPjPHLQ/jIyXuiMP2uwvF+364xYVxcGfIxquUkqtKEZ4D1Ge11jl3nPbx1ZWKYk1k2W2pQ+dzpu45/cfn7UAjvbcgAFxDwjOiY0o2PtWRGjR0eQd7BLdccwzMPo3YFI9ffsPjW8jXy7lHk3JVI2g5F1cRvLM41g53oljyEl70w/aev/afmH7zqS261rFcvYa6djoroVMI9utWiD/3O+7YeQY5Vw99m7XeDYfAbMxLKM5wehzQeaE3oGFmkq3CLUO4K4Q9bHcInTz45pes1Vb76RMkhT+cfBkkzulCTLfd8ZtJ0ZU67BsPhuj/aNextncNgONs3zguq51D31WzDVZnimT+8+fryessy+uTt703FuXXMPTe7smyiVNWUbShNjiqJfYxSJK+XniEe1F6ioi7IUsp4ebbRzcJsP3YZGOEBlR/5s2jrqzdfWu5rCuHjd451X69LT24+z+eCd3T6pmfLo1oVQ97H+R/KnSuoul9KHHPvtD72STvHuomC8bGfcs6obRm0ub0EtJ9yJ6vxr3dYbUkh/GhTCK9YiI3vUQwe2keJdpIhW0lZGqy4G0vYD5zf7tutHEMJsOBvxVjzi2QWdXkSfrCWkugyWkWNuLeQ/aykMpeV3td9tO/fB4Vw3yO85/arQohCV+MK8PxVHHuFkaIcBnNsJEXWXD4OD6qWXBcQHB7ABqf2GIKfvIV89JxR9HiwLZRMvAWkO+ZZb7a7VIcQyKgrTcPCJ5hQWp4d9uGwIvd4wvyBDsmqd6MrjD6VCSUZdQiBeWwEiQ45ciFgBiuBcXAOxkJb1bLqHkJBRn/9tlQIZ+UqkuFkz6uC6IxQ9/Jx6yqM1Rk25yszmXko/bm7hItYa/2lHAY0U+ZcWaUw/WN3KuvcVgCoCmbtazyzCw767gJDFeqqJVeW8Cho3xsN63kXnM+DDrmH0IsQM58OGSLFPf0GEqr7UP6kEAoyeq3HDutaF6odGk07Dg+qqd0rVDk8CeENSk+Jw5KoH+dwUME6RS/wMrHnvdbUpn99BN2ABOyc+oPAkRxWJ4vxZRUQZpDR8+KkiKWaeVtBiri3MPaFGeWAcQHp8n2k73gN3cjHNQN2mivcC1VnSIFmWetrZBeE5jsyRPdq/sUjvn/8zaYQfjpUS1cAuSbojRn/6u8KJ1372hVEaO+679oXCfwO+/PSANVryH26p4Az4hTewdirXfFcFTCNfVfGYmzbd7xrogc/uflWK0z/6qoQco0retAx/dUHul6VPjySFEc/z5hIiSKn+xXCP8YxjWHeLjR7HdOiaMZY9JMYB2Pe+nV8/8rNF5b7T+9dPnAlFUI3HFaEh8ZR6BKVltB18DpQHWt/2xf3zLkMwbyI3r/xTj7BlXe9YzXuaW1orYheU6NY1/j7YUD0tUNIQC2hEgbEjvoQZPSjJ08EPaakFsYMrataJzDXR3oJdT1rTn8dBspeYkyg9exflEFHE6xz2Ve5K3/uVJDhhyL10Z9u2Ebm8hq0HnLkMtnbLQ79stJ7xvmi/h4Uwosa6T09xwvTK1kD3sBg9uYZ1OOJNRHsSueoT+gxhRS2v7OlwA4CYrCjjUIVQuKAjuraWnC6YsERKjw+BQgZw+OCH5ZjCFI+Q56EfO7rDTL6reWfw0OI4OoE3Yle9eqIQLowM5setyLXmKuVeDZiP4MW6bwYwkzZm8UXuvCQSmk+Qcx1wI3yKgT3HzSLsTyEv908hDPYkL9TKrBDQHAPXLQZnsi8wwUMrnNhYHYvzNuVTlcs6/gikNT7qjLKfS6UcK/qED568v7lg1eurcJDVSK5f/Zu6xz2ccbiruPuFdwoqW3t+Rrlu1uQq6WeZ1fhYViihxCx7oMuRc3iSRBg8BDe0zyEsbe6RXqF9pmF+ufFCLoyyP5CYKmeGxcUfD3Geo1/uZAc+pfntiJyhQhxTyoLgowq6Ue2qA+w8oOH8P7l167+50YX7tzEhbsgBvyfOcmx7UKh0fR1f3SIbt2nzIkr5rN51TGPFSc2iD7VEIAZX6kGQNaxexRVh/CJ5iFkPclbIoG3wt1AgHgMODHkvg4j5Vrfa9ojxGX52gR2XT2LoEY8ljz7taWhTmf0nZCCda/boFdEAadEm569+UZ4CD95+/uKcXPAN+P5rRH3ZEH7Yy7N8MdxHXOv2sz454Y4R2OITqJ0zYxwu3iAK3OuMDo/qIZHFEJ5CCuCBKRJNd7V+Qhlp5OhNBzkgIDCCW+oFLgw8qUCn8dyJlDYOYenbwbz92PrM4yua914GEDOz6iLiTLIPvjqUatD2GIItebdsMBeqOEAUhC1dqu8UY0tdX2O3ylnzaDc0AOHfbt8COpg5hxI49FAorlSqGdD+7n3ABk1ArHnrweFcM8DvO/mPYbw6HjUlZpl29LmRdGr1uGbPXul7kPwcsiow4q8UDSeQhcSSAqhewQTg2ChMGqj1wL1gzl2Ah0BxVm4HuKj7yKFxDC92XKuSSH8TIshdI9lWBnNgjwIbXoKvXCxzw9CgBNb/z4CzkdB2DVeUMTcGgNKChREp7hWcQSRsKBbpWfxJfBtGPhMCfnezVcj85xiCCv8pa4796CtBN8URBRCLLRVsUuGthtqClOHMev6ytBnnsV13s1bV++l7donCtMTQ1hhQbVP/o48F0t6zk8eRWio8CCHEMV+MMELASIt07k+WDteQBhBZvZX68LhytWqHH3rSp4EiS+c/s3y6eW3l7tlCOqChBtpUBJ138y6i5EDRu7CFO2E0LjCBs96Ct1LIw9Q7DWzAjsyADrg59nbOpepsNLQ5MfzvowzznG/eWljStxDKIXQQwFi7Bv95uOIDsbQz8U+63TSBTtfL8zH2mj7ItoN9JPjzFlNNsOc4wXUcxAA5VGuRgLWjx/HQ50ewm81L8knko7HWsm4p5nxz41+7BuuxUDiSmJ6SvLjXsEq2EcfRb99UGKNpvGOJCDQfmIMpTystL59v7MZDHketMI9hPmc8RAphK8etxjC4/evikqMbzcaVoi/38t1tAZUElSJwxm5ZpeRMNZNodc65l5IFLtqiHNFriIxcq0M2KLHaqu9L7W6qw+e3h+Q0V00Wm3onejfhqaFkrdVAuNd+h5gjFAAXfnTOaftbuhFKawGPsYUox4yQQ0DcN6sc6w9Nw5oP0gh/MjJx1tSmQRfR9VoM/rFeun0kznEyDFCZNJbOTP6Vi9rzodGTHHpQw6bIbFqGMAMFRJz01qCT0z7a06G1SjT6P0Xrv/5pYwZH7v/Yr4dFMKLGee9PcWzjMpDqLTDuZFzeztEFCVRMYQogEBJ6SBKIDGGupaPC5WuADoR2jLyJCIu5NGWK4S1n/TfoUxuUaa96y1HlSCjuxTCysjdEkw/wNRDnOC/DsWQp69meXSP48oIYtyJiUvBYJY0JJlLWgJrnxKSMj7AMGH6PgdSCF+87YXlN48/tgr8MLxZggG3CHO+eg5XRmJ9cBiPDqOYVYUFy7KY8R2Nq+r9PPZE9wrGg+I1Eyqq8lc9lG5Nrgphrptk3K6Y1n4yd/I6qj9xnyl3Oo/wRrbQamBYlSizJI99QptjJoESOSN2eBFehhR0cl24oMA6QkjQE/6hKYSfWn5zuUuKQRMEPEmSr7u6D1hDIVCE0UaCqUFgTQjIMT3r8Vutt2a4wZtH7Bj3Opww+tlalOLgfzE4VSNQTXMvpfDt07eWf7n+Xy6lgFAVwqBbRQkce3jwgKrAcQ38wQ1OQZ+6AGhkYIOowGuAAsh6SIgYmWcH7a+x4ij3Z6D83ZjA2nfvhLJKK4bwPIVwpQHd8AdsesO72t7yZDPwE1cIee+hqGUW6nqNZyIVVNANhEHLO7GsseaeidrjzPVcPbPGsen3i7caZPS4QUabQugf7c47u/aXcE3Rj7yiJkWpSuK6VkCHtPuqsrBdA4M2Dshj0nvRShTAWJf9RmiyewWO1J34AAAgAElEQVRncdkoeXgcq9FMCuEDLcuoQgT0ca8ez3MPIP3ehookrff14LTc4bumi2+8hLHG+rxCW2tfeXZ4G/v1XIs8wXFdO7yRc5lBa+9rx19dPnbyZKP3St51li677LV613tG9WpQ9jwL8EfuB4WVY7rNMuxj6jSlhiLlvdvEMTNESIxlexuPHeS5POudFiJwyDLqu3B/3w8K4f7G9kJarmUngIkCGXJPoL7rc6XBQYkNJNGMxxiSlEDH8Ly5pQhl0JNAuNWfbKJsdvcU1kGp8St6nvqGYOFQoyqUu0K4TWqTluPqKXTGQD9S8N4K0+GFtEBsXYMAgUDgggLMSZY9twI6HCWVqmQx+l4VPx2vFkj3HOrcas3vzPuH77wWCuFvHH90HVaPORnvmN+qlxCvItdV66yOe2xhzmd+6r2uqGEd1nUVEuoK3nlxLK7QVc8f/f3CO99pSWUeWX7lzns2Vs9dCqDa2RUHUQViPcMtocwxMSQokJ48ZpZEwNcZiQViLrqxAIHBY1Z3WdEjNiX6lfEi/7S0LKPLbyz3HclinovCEwus89oVzKok1sQCvmfwuOAdzPWT8CH2WkI7t3UUeaYgg04TuH+stQE3d4VT7c0yECOYHDyEry7333//8tlrn2/0pCdp7wohtJwx9pCAHP9MKuZx4g7Hjf3a1xHJxxxehlHO51/3zEIFaDeFPWWmHv6HamBwYdKRHrHn2n0cw0MooZj14IZJN27EPRODXBrMkuuQbKP2J2GCLWbxRPU3W2iF2lFfDKIwEByZFCZhhqkQztAhrhzlXGyhpTPFIsbWCOuL71xffnr8s1AItds9Hg7+EEa47olMFMpQgFAOKx+EJu5SFllP9Ft/Ueh4DzcwzhS7CmN1+umlMqoh0z2Ygozed3pPKITwH+DzA70z1nCl37xHVQY9JCD3wIj1dHSH82On5Yw3K3yWGKYq2cSCs3ZcnnBlkzWntfr1469HDKFixp3eY1Se0XtKrnBO6zn2VWuPJGGbeTUDPnurJpCBTrhCyD7XOY47WmWXcjiTITEa8vybLanMIcuo78L9fT8ohPsb2wtpuXoIc0Pmpq/eQRRCwUadQetaFMhQyBp8FCjSzNPIhkeZgzlj9Z8JjnUw3FNQ+xoMp4kCZKWbDaSIugQEPIRkogtmZD42Ha/QOGXeUvZFzzqq/oRlNuARye6xwoHDpx+6hmMIC64MrB6oLkjMrMRqy5VCrMIuxEDoU0DZerHUWzyEUghRBB3u4kySvns7LpTU+MLKwGEaboGtyqLPU1VqKkP0OJUhKuJd3SYM2LWR/v7Wt5b33XrfqhC6p7b2JdZ49wJ6jF/1mua8p3LlBoiqSCJ4+XNmMSOcJ0mMnufJY/BEVmVtO97ZI61r92x88fRvw0NIDOHqiS8KoAsMXpeKtY61eJSWUTKpVPw4toFstnN48kgM4kyc7/kO3eAS92ScmT7au27EgWbM6E3sld4Xzcn15c3lmbf+66X2EJJllIQy/PXY8Rz/tNJX+Kivb0dfsP6Zb+ZlF0ysehDcY+hwYX9+9QpSp5A+eZvA1XROScSePf7O6iHkXOzhUDyTbp+7bzvtTnogBa7XQDOPD0Y/5yMDljr8Rq4Uqj2H+8EX8BI6PaTsQMyPKXyefASlQvfJ0Cg68fytFkN4/PqqEDrPgM5Ur9ZQOEYSHubY53RWU9XRJn5PhdK7Qul0Xvd4qQv66KgUp/05J9vkaDlGefxr7yRk9H13tDJZ5gWtxrxda5XnM1cVYuvIHL8Wzy/jvb5HmxfOBTSzewPd+Bvj1o4TLzigyjlTJCvyZ2OQyPbScCZ55RstyyiQ0TGW6cHDuBfe2DDcZVZT32sxvhrP/pe23VDMXmK+nQ7EuHUDDYiO4VVMuu5KYj5va/irBpxdHkjfe4cso74a9/v9oBDud3z33vouhXAtJdGL0QdhbZbkaiEehGVbboLNrb9SEB1aWi348ua529+JFQHCEAJPbDAI0hBaeK5bpiEyeAshIhIqVZhekFF9yI7nVmXPRkdygBiLzohdKHCmT9+w3NW/2c/RTjK5kWDGGaNbjKOfLgSojT5gKBQefwaDd6ggDFllJ356/FJkGdWzqzDgjLHGv1Vvq7pQs5QGQTco5ZjX4SmMsewngAaNJCoj4YAuceHA4UZ+vVuLc6y22VFdsJKH8OFWduJDd9x7RmGm7/SZvxuPR3+3jNnIK1zQqG0w7g6LcgtyhYWqry7YobC6BdmhovSxxoVkPzLhhdeJ+u+n/2355PJbUw+hBAi8JJ5l19cE1mMXApxhM0dVKVR/tPc8U7CO4RWsGYXHuknhZZZaXNfMPPh+HIOWkgxcdoVQHkIK07v1ne+eebRa53PP5q5FGYz9ad7DGlPo60JGAOL/HAaG8p/tnvUMAhGuqBD64f1yIR9apfUFZNQNBMQS+jrGQFiNgdVzCEJk3XtdgMV7yHH35Axakt+AjVbYYHiRjM8AFdQ9nojGlSKHkiqmmEyVuucn77zRIKOvLJ84enRtF75EnzAexpgaDJTvznucJxBTiHJ33l/o5Xkxiw7LnPGVnOvxqYZG/w1d+OqtnzR6/+Dy3juurDeyNpgf3htam/RjJIch9AI6795B9wzGfoCfd2MB9Bx+bt2Pd0Eh5LjzRTe+Kms5Bmjn6xj92GuEAKQ38bR5CL+2/EqLIVSIANmiZdzWnF+XgXs1ZA/4f80gGu81MZg78kPXOGw052pAR52Hep3B2Avtn+hD0oIsO+PGf+KHGSNHnjktcUPQIcuor7T9fj8ohPsd37237jElS7N2KobQvX+uGKIQegZRFwLcozgYTIPOHL0dyWhQzGqx+grzAfbl1mIISvUkONGo0CEsx1V5EbN/uxGaUAhPv7B8+uj3moCi985PCiOZmhmF780WmKxgbIRjZ9QwP2oR4olxZuLEeqak1SykwIccvriOaY8Py77mx5mHw4RcOXClVPcIMvrCbT9Zfv3oiZXED+jJ2aWHF9GFgnzHs3UO3eo7Y+5B/NvDFIPnXkeHMaWlNBU6xevdSMTyTuWtQoe4NsbJhBve7AvNQ/jIrfc2D+G9Oe/mAawKsM6f8Ux0aJWPlAsKVeAJD0CPlUH4qzGg1eLtSYVIJoAwyPwzx8BGEw6Wq2yFIxlcNI63OZOHUJDRu5pqNuYr7yPeifnFc46gnBbe8XFmjKfFx8WFCKzDvl9niQJcyKi17arnyQUAtyrTBx2j/MzBQ3j/4nUIgYISI17jwn0e+T5TCNkj8+tHVmmUeuBeM4TIMPZtBUOPWVzhqR0NMvNCu2Ioev+D439tWUafii6uaz48IgPKjDDLWp+9zzoOBit1OGnuzSQ6HjdYaTB7te5h3eeIAe3XK40fec252Kdd6YP+AxGsxct1/ifdQ/jxo/dtXsmRJEm/3OwzLnV6hnFrJG4hu2X+1XuJD1UjzYxXeFt4FWP8ikLKvdBYelk9jjParba+fvKT5YGTFkN4x92b+fc+YRit7+eK37b9Ab2txj08ts6bY17bf72DK/x4Bck14Mghkgx5XDiQUTc8gFBCIXRlX2uRpDJ3dpSF+oKRe+YRdOMpexs5xY2B8Aboq9Pm6sFzb35Fme3KFurGpFpaohoeSFiIoqg1cvAQnkfB3t1zB4Xw3R3PC2/Ns4yeHmeePhS/mYJHXEmNLwFqpBdwgYI6Mq4MwiidEENM6gb3OoTO8IGEMmCkqyd2sEKMZkRKWUa/vTy9/GrzEKIEOnSIttV3QeAyN14KzBWqw7UIBSOxRwpCYO8h5D7RQwkbaaRDkDDrcBDvnpxmPd6ZC/2BAVWFEOsnUMOIU2k3ff+dV5af3vbS8rmjj64KoWdG84Q09HfEQcyL3fucwtxTURnxKDBbh1vuggp5rEkICV1QqPEqFcYpiBTP1H2zPnyxeQgfOnl4+did98Xr4eXzuJmZpyH6ISW1zw9Cz1kBJkeN+Z0JDC70uXLPXFWIaIXSsp58DVX4qP+OsZByFDGEf7s81bKMCjLKhyQarClPyb++Z193HkNC3K5bsik/4ftdQrbuc+Xa97W8OPr06LYV+k12SXmWvHahrnVlMOBRvdiErM1qR4oAH9GFm60u1WVPKuMKodPudZwaGsQ9g7VWocY2x3obAzqDirrilXs4PRZer5DjY562ySiq93Drid6iU6rhJtZy66uSyjx7/N1Ive99gPZovda+cs6NitB+vCzuNXQDD3ubot7sKYRkSlagxLkCGXug0xcUBzfuYTAM+gId6tBC9ZnMle4hfLYZAN84fmORQui0Rt/hCWG4LEqhhxEwDkoAI/pHTHTM38To5p5F5w1VucRo6IiSmVpaFcx1vXRYaOU/9Ev9/MqtHzd6/0BARjle+0FcOsZPoJhuKM2+bul6pcu55vLj5xzu7+c8dwDv5Pyieh/ZL678rRB+eRDDaDwwP8QQfvjko8vVRkNzfTUPXLvWZRaerWNeWJ7j+utlvHiGK2DsbTfMgRJBbvPYY5JIVXi6K3+63zPOe38Yi9Vg0BOVsX4OZSfqaO3v90Eh3N/YXkjLNescil6NG8F6vBKrzlJQIGNTNngpZSdQwLhem9nLSTiDdcuSrsdDmET1aE0Q49ZhhEKucRgqcCAJl4Kl6TcCK4RL973VREUphJ9ZfieETJRXBBWURBcwdJ9gFvo4JMPhmvQJTyH1fJy5kPJZRDmD9fMsRN2zzWV7g7Gs8KPuKazMXdcDHVrj4iYJEp699eqqEG6ttMns+MyYt47NBC/ds4tp1/Zm8YjVSxfryjx3tF+FBT3TlTTvh767Qko/vniSHkJBRvnQd37XuR9MJjPxcR4hIZ+1FRg4FvNrMDD99syCsva7ZZ/YUfqSyvDIRBhj04+5Yqm59xT1DhdlDWptegzheAbJLbaxUW6ocUHBM4NK2auewNWAYpAhW1qr0OJChkOGPLmI7hvepJYtdFVGcrW6UML8U4rC6xIeCtOnh/COZghwul5pfIx3UwxF1/0zSyqTc7M162juCAfAM1DjPl1oRCGq3l/3DiOAVhirPxt6rz45X5BhQDGESirjip8rhMBH89553Bw0whEk4YFuwrXWu2j6agTqpjY3EA7a0ul0P6BrIpZLilYY0Pq6tlAC7p3FO7tiiBLiaA55CF9tWUYFGa1IBJ+5igCBZql/nhglxsgYRU2uAn2kz05DYr92o5ob1OAJM8MjBkZHnED3NwtUa7HTZkds4CF83+13ncn6CVRWii4oDtqssfokotGY1WQ+DvvXdYLHonCL1oPyGPSWuPetMXg93+WCpGcpcyAzTAvJy0hT8huwLpVlVBl28RCqr27UODM/saeTxwlRRV1n36d8r5lFgV8jp7ni+PP2sJTG0e420zye/F21DaH7+hs8v/2/fvrmpTUA1n2x798HhXDfI7zn9r0w/XHgyZVCXowtWYQY7Qob7WyE4vM6f7PBQa+cXo1rVLBe0FAyzGH50XWy7MviM7wMmaggGGj6JQOqyjUz6yDCoNpwa5GOrzXGWhuuOCJcIJxIKCDZjGcZDea2vnPi5N3CBr7emRtER389uQAMHaueZ+rKN07iXj8okNUynJ60oQiQYET3Vwbj3sNatqLGqEghfOm25wMyOrxi27TlsQZW62v22BUerNs1tsTnzyE+7jXkHjyFjIcrijqGoOECQR07Vwj9fvrH9W6B/uLJN5eHBRm94/6px497ZDV2BVn9JpgfOI9b1V2AyvEzhb9b8YGCSgn0zILMKckk9FvPutK8wwgiDg31frGmHC6qNUUMCZ6MHNPTyDJK2YkQRkOA7/u+91nrWgJG3NP+u5AMzCj62PeLK2W+X3WNx+iu89H3K/vTk8z4HLOnvVZhvFt/Lp5BV+A9Tgw6EN6wNuaXNeucGwCJIXSFT/MgWj6LG4w10I1+sa5NAfRkPqvRpFvqmceNl60bCIaCP1SSUK46hFP3SqnESJDrqBWT70JjFS7hKbNwASFCfnz8vTWpjNqqHiXWP0YPDBzpodxmDl6VymJs81JEGPrwxrjhEF5QoaH1uMeJMZbVAOkxcNAO4KXyEoqGKKnMK8oyevS4b62NcuieQmhcznXSsYAlmlGrFlqvffV+8VC8ihjRNEZSwnyd6Du0mzZdwfRzhBmg1NEOdBt+8NWTHzXIaKtD2CCjerbTaYfJupfUB4q5nBlg13nRHtG6au/k1zEXa4IZ8+quoSpd+ateZozBjgYZkM3hSWcvuSdZx0B9KMsoHkKPJ2cf6O8WuTEM0f5+IDzGsQG5zn069jLtuWeQXA48d5fRL9ddlhka+3xbZ9Z5ihvy/Z0uswFws9Ev4MdBIbyAQd7nI1whVB3C3EhJoogn9DjCWyrp0JQ+PjeObsR1ZB51tz8ERn89EQSEi2QzWHRRGl0Rq2nq+Z0MOoOOyTzocLNBrJK9Vq+VBAZ5DbwO4QzaRF9m1uI6L7IYk4WxJuJASIDZ5zgPL6NnJnUhP4hiFzg8O2mMaWcqNaYMJiyyXK29Dl/53snLTUB4qUFmP75RWtwiOrMK57wOpXZXMWQYPucdXuRrI98xFb+Zd9GFNif0G+ZVIJyukLoFOtZ1j22RQvjIrfcvH7jdPYTD6u1evzoOpGlX3OKNdmHGAvEOqXDVcdSzXSn3AtQxHn0+EQDiXS3WhHlFMHBL7WoIKBZlron3brOWSlwyVTyESjIQfeuC3haqlGpmQKji3u0HYcY9fLrCvXzcsRU2slA881nLCjgNiPXRDUY5htkn3/dJD1J4cMgSxiMdJ/vx0hTcg0KYSWUcLuoJYjxLNEqgxxrWGEKHgLmnAUV/lno+5/WsQFuWWPAOfYg5dAMiRgFPUFThaBgL8RAqsQaQV896WA0IIER8/foeYO0rHED0nuzTuUZTmBZPqB9de2czvno8FsoGUD+Mg0lXziJIaDO9PJkQrCag0TUed/zcrdebh/CVUAhdWTnTwd7/2JvdgOVhCNC5qlBBN5wfQLNQsvQb3c9hmdwziwekf44UebsZdbKt5JbwTEe6RP/7Of39WlcIH72dGMJB8+oYOMyesdIYUNop1m6fFxRATxaDQuj8tyqJ1UvrKKEwcve5dTqfayvpn68Zfm+9ygMSqrGWQvjBk4+sMeP+zhj7WN8VAovHL967G0ekGPJJ/qAEMC7hCPGUx/Rxz301JmHk2byfGftcKcQIWL2I7jXkXDglLjG9n+3tfR47KIT7HN0LaNstxtSlwko8iy3ROZQ/LMsIDyIKErooRg8x8Ixzu3DeEJq0Dt9as9BVC5EPCQSgCgNOMPAeJnMYcSu6V5DRby3/vHx2+b1VEUnmksKlwyGSUOXHLcWurFQIBn31eMP1mPmc8OJcaTGca1KA6G9+MitbBvu7sO6w0jXWxWCkMHNPTEJMmpgNCuFnmkLIewXhxnppg10VIhjwzHqtY+obnsEYu66wucfOBYNqqWcePMOcrpHVl/euyQMqvNOfiwfRIUn//eQboRA+3hRCt3y7BzTXTX4qFJR+kETBhiu+ukUZCzuwoRBmdI3d5N5ejynRcaBHLqjEnAU89GzBa+bRk8MAR6Nv/7j8TWQZvSZ/e0+glO+bb8yxqpC7x1v7SBCkGN94n6FwptduazHmdSUcSEAn22RFDkQf41+250J9Go7Sa+k0QMeAm7N/8QyyntIQdOPSZxkFMuqePebGY8hFy6HjJBBz5R1FHYEOgTDXQyr9Pgc8o0KJpeQB64113ZV7fceYuHpAWtsoiblOxprL67P+LWsZYVXrzT2ErrhW72X2YXwQkPGEr/S2G0o8QyN3uVLoXvroY/e8r+Ng8FD4hXsKsyxAvpMbf2Yxi56NFL6h/r5w8uYZyGjlDavxsRu0HO7IOwOLdG9izIN5DvVd94puxT7t56oy6XTXPYVkYnZFr8Ly1/XaLhLU05XDFRpvhjkphPe1pDKP335PUDinpc6jV8WsK8PQaQysjtSALgPh9RJR8LqQF0SnmxIb62pFXySclHFz5IfWNKWpMOL5WrelGevfoZ/+DK7TWlfZCVcIMWBzDUY/Lzuhc+4l9+dC252G8N2h4rmXcvU4TWff8l553fAArvNb5LFYT6vTIiGlzqO8fFnEOB8UQp+2vX4/KIR7Hd79N14L08sDKI+fb+LcgHmcDX/l9M7V4u6KoYQGspDCZF0wYPOfxatnvImYuTx9LgQQXIyViELFbjlLa+62lk31VkKQIE5vHF1fvnP6L6tCSHxLVU5QEAeBOjsvCMNeywoFESsxjCYsyl2IAc7hx5zwV8svxB4YKb+rJVLHgQrlXA4oCzWNnj/JLKOfPX1iY22N53cGDsPmOZWJoiQRS+KMfAvd3MabMII1joTjrJ07WyNqRxlGN56HzvFnFuWZMJHvlK0jLPzz6TeX9956dHmsCQjjuWfj/3y23TPqyrmuwSOIMLRmh+tjTztYihEmYn9JgOrePff8ugLtHsJ1LXbFmzWT3oqEUnrNQaBDCbvN7LkUppdCuM6H3sO8gbNYIwQEanS6J8WVQq25GxOF0IVvFAf3ZOL9V59qgXqE4l2oADxGKJhqww0Fok+HshOjML2vbehlJAXr0FD/63HlusZh+ut6FGpDsNwWe8h56Cfxpp5l2mMKvS+xJ7p3QQYAeALrfDxvZC/lHAohsFI9T+tBBsCqEPr6mKEKaszjeO7oLd6VdX+3Z20UzK4U5T6XZyv3H97Asfe2gQShILVrV+Wm7+lqhINeZCKtEZe4hQ4uy/MniiF8ZfmV00c3Betz3IYCTEgCyo34yI3ukdO1GBUxWjmdc6+ZexVnYRIYGR2C6uESMyOkX+s8Ksd2GE03/LAPMAqh6L2PjU4Tv42C7Eqgr8vVYIvBs5905AeKsx+rz6NN2pMcgAzgaCHWtGeqrevF+RDjD513pJLKTiiGMAHh8/W7DW/JaypE1MdjfQ+DcPu+h75XGKmHE3nyGOg7sh7KnkKEvAg99zv8VH1xhNHqfGhlhi4rImQ2V/s8dlAI9zm6F9A2CuEnr/3HSDLgsYN4ClH4JAQIIqprHEbqcSfqcrUkU7Re56pwUCEGvLJjxkUI5AV0y7SnKK6QChEJxQeKiHg8IQSDdt5q8Y9SCFWHUFciCOuvgqj1GXDWVJIlDJMpMT0XCaVzSCmKoAsYNeZjF4PwZALVW8h7Yjn02BPSVM8Ymce7oQyKYT578sry0vFzq0KINXhmOa3HKlzFl6ozf+I6PAOd1+HTeY8pqfGDwIrOyyrKs3Ut7+qwW7LkuVdT131p+dfwED562z0bZa5ammfCTFje175nnF8Fh4XFt41zVQwrnIjffj/zhNVY7yjBTL+xRntSAYdYYnmtHs1Yv03w0EfvSNkJPIReUgWLM2Pr3vEKJxp7dlujapeH0PeFJ3PymlTVohx9Nq89vysdyGdmDUWnJSAPggacvrP80/W/uPSF6RUigPLncFHfyzHOJbEMWaRncYYVCqbfVembCW3VC838el/IIM36JmTA53lX7KOOV4WwIljcqwxEbvChrTcfei/ljqLe1fBHv0aisJGoCRrje0401RPS1P0bxjl5XruiuL538S6q73ix2AWiHUBGn2iQUYcvOgIBb1ZVjCraxH+rHw53d74UCAZLlqVrnc9UD6fT6KRXI3Z+RmN1TfS/vR/jVT2V9Ocbpz9ePYRuaHMaN3svrwVbi8RDk+O9ukGvIoLSOzyQPij4QIExDrvn15V+kB1O/5A7gCrPvG3uldYzvtkUwg+dfCxQGbm/tqinGO8wrKfn0uN43WDHeOmtatbQbHfUhXYjktP0XAfbovNjHra1ZnUcBIGjtyriK9scOSTWZ7eSYQeFkNHd79+DQrjf8d176xUyGpuvW4irQijBIIhGswDrg5eQe7AM02liThAgajDxLOnDTJDzjX/Wk5CWaH0gUBBOWYp5BsQCCJN+v95EBEFGKUyvY46FR5BxQSEJXn488YzDSOmL/rqQ4PEhEHLGygX1fMYoVwFD4drhlXO1JxUrPE0b62yxZsZ7mkL4qRZT414pT0ZTFVk8hmucYmuHXqwQGYO2bnuYb+DMzm3iKI8xV+YBRCnk/WN82sWkCPfj7gWswkX17j3dFEIllfng7UoqM6zLOW95d7U6nydIENOCUuqW4ipg+TryrHUogvIecpz5v9qEnutmqVcbDiWLcTP4nMcMkhGXsVKbgox+YvnN5e5mbnHo2o0GsVnhad3gwX0ep4HQvMujzl51OKjaIZuvK4BuVfaEIQ5JJOGMwwU9CRXPUXIr0SZ9gA/lumsCzMFDuNx/f2YZVRIx0CBO6yuddyUP5ZBrfO/lmk6go3toKw2eGencUOg8INvMvegCcYWP+jpZPQNNpHUoKwrhEyefDGHXYw15D56Vae5H1lxKDm1QCtGn7Ye+u6dF+7AmlWE9xnsrNk2GjJ5B0ukU+xb4aN6XH12nexRqgDLiisf6Tp2Wvdg9hB9dHtv0W/TKFRsPP6ANRzVU1MJKU7TfLK6ujo2P1Cy+OubYvKn67UoWCqHH9K3P7hDV2TPhVSiE77+tJZWxuXNPHsof7+je0uoF9IzQPibD+5u9U78rn6v1/EB2+NyLB6gIva99N8zy7l7WxMfY6TIK4Qda2Yl7mkroZbTSizc+KIrA75G/8NZx5QzpUVFZQEQli0Hv6zW1Bq07ANwryJ7RXzcy1f3OdQeF0FfDxXw/KIQXM857e0pNKrPLwroyl85KHFrKxkNYIIZwhYM1+JGO4TGASSMEuuLlsSMwfWfCwId0rNalSeiamLhqBsoyPbLRqf/AzHje60dvhYdQtdg88DkYkQnWrhBWeJzHkug+J/QeVwLjrwR9xBNkADjCgbcVDMFixepi8JgEmA9wxApf8Xt/dPrq8uLxj5fPnD65ERBcscG7lUxp/oHhzvqlY64UrrEWdnEKNmkJdoYIDBWFcAuoygaqwunCUjKGrZUZGDQYNYIAACAASURBVJKe9+Wl1SG89fBGIdQ9bokmXmas//xWY2tIMa6xoAZYvWYjNNh4rvFJ3cKs9vH4VkXVx8CTDqxQG6tBVT3nrGlSl3/h9G+WJ5ZfDwEhjSlbi63aRDB2Id9hoayLWltQx8n6pu/Uq2Mc3cuD0JBtjfp3NYkISaOqh2kmHBDL7IkOsDKfXGKLsdN7IULGfKRlvVr0RedBjZB91A1/tT5h7I1O7/WdkkI8pxoPcg+PmG2n9Wvn7BrWyMxj4WvH7+W7xxDOztMX4GjEQdVrXTmEFrAPdrXr8YSxHyImMA2GwEirwotHEESI7vMkKZw/mwF7xDu71+nF09eX149fC8joiFNMWhYKmtEf3uuMwmuGshoHXWGI0d8ew+fjUuMUY+xMkfR78DCimPEM9yzSV4/f2zwvxvu0lZj60XJ/q0OIQsicgeSo7wod9zn2eUaJqh5JaDd9II5bx6XgodwnkmhQ9IC7d8Okw/1px2GjxA1q73iGc/aPh6tQS/ZfewyhhwjQttdfdlpejTNc7zSYYw4DzXHKEUURlDwGH3DvYI5v8h7kv5pIqqJDUFJpz50CPvcRhX6JESG76NG+jh8Uwn2N7AW1WyGjemyKZIM8YkmlRiFdQ0CoMFLiCCk/4YohlmW3EiN4umCgZ5BNToxcyh/xQRAOV15XYbfDS+kjHr9Z0oNXj15viVWeXj579B9WQajCm9xinGMzCr66cujP03cXbDxhR7yXYkjaFXgJvZ4h5yucRNcDJ63QFCx6u47D7B32J2b3k+Xl5eXjF5ZfbQphrX/nGdPqUnSm7JAens9zxKDvbF6tlWF04YCAfjGt6sUL5tCZor7XzJ3uscSjWOtfZQzdSD7jbbqC9c/LN5aHT963fPi2B1aoqXrrkCfd68KHv9sqbOkaGyQEjFgHHTZahS3GjaQCu7a7W8yr8IBXASOCxlUlIqrxYVhQR6ICHfvn5e9DIbzWPITxnu1/hQzFHISiMKBE1Uuva1AcKV3hRb7Z/0D8hsdnFBRXGyQVIUbYY4cFGceS7M939MC6zrr3x4WE4bnJGMLLXpj+s9c+3/Z8UtjYHx1qhacwjjXFriadgX7X2oSVrlcIKl7C2fFquMj+bBPFsGaYY5Q/+s5amUFWuUYhAs8dfT/iqOgHho5ZnHvuiTSKuDdkrN9UpqrxsGakRjjXtSh3LrhXhYJz4hP6uJHM6eWKzOj+pxp7Bg8Jetuuefn0jY1CuCofhiBxg2KOW9JjeRBJiuJoEl3jiWkcUumextUQ2OnhmMf8NvPIOU9yeOO6zzs/qdBHlG835umar58+uzx48uDyntvuoolY/fCLQPl0iOvMIIcXlee5sXUXTBWlbzZvzEtV9KoRkPUDXc/xSk7kyA7uc7i/ezWBjKIQulfQvYFqd2ZkG3OW6CXoOoZ9h49WeGiupW05marksae9vqzTBhLJ0D+Ux5mRaZ3g9uXm6fVLS+99HC7i+0EhvIhR3uMzPKnMUYMQbYN/k+S5N9C7Empjg5HWbKRSFFHEcvOmpw44Ed8F7UKp9Ou5biX8HfqDIuhEgu/V4qR7XWhwxo8iKUXTIaNVWNFvrMRuEQNjD2MIwTy8knrKWZCkKxgV3gGMlFpvSl2OBwdBgIDzeKdiVXT4qDOSbHd8nPijIP7w9GehECqpTDAXEwyqQjgLtq9xZYNhbBl8rAFZoIOBjXNVaVtrNPWGKBDsCmQwFoN3olR61jiHAyEUoOjpfjyArhDOoDi73o/3dCXPr60FonMt5gcBC0WPGMFQ6rowMtY9salDKGRt+Hr3deIKc40hcY+1+vF0Uwg/vnxuuXe5Gp7tmKe+lvXdi3Sz1iuUbsz5yCjqRhj2DQK3/66CdBXm8RC6MoAQkf0YRiL1w2PCgKsLmSBvoT58Pz25eWkFBOj9r139z8tpgxrqQ91Z6DmKIL91zc1Gq6Eo1Jp1JZAwAoyGJJWpc1IVMeilK/bQdAyCDilLw8RAgcR+DmV2GOpyHSfPQVjVMUFGnz3+dlMIn4z3dqHVr3NvOIpsTTiWzxsxsyQTc9rD3sj9kHs5x3tk8dXvAffMhE8eV8jaZ6+w1/03cYUef4gBMd6z0/UXlteWN5sRVB5CL2HkRic3KsInPFMpNNrr6XlMtJRGeA/lkOrfGS8i1lrP9/NV2Yzxirmbl+mBTjltRrH86ukPmkL40PLI8V3B6zx222l2rTE7Uw49+Y2fz/kdIQfEeVelr86rh4wMyGnWEBwIoEQR1TXEnHkuAwxzGKP1+1ut7AQxhLWwey0bRKF5h2P6nmFte16HmmRqJpMFLWmrD9pNO/rrJca2cFddr2zHaZjJfozah6loZhiT8xDaPiiEPsr7/X5QCPc7vntv3RVC6hDqobVAvW82oKFuTQ5C3SzKXsTes49yP8zW4wcdauDKo+4hu5TXMUziMYjE8GAMz6aek0Xo07uhDzh2oKNedgLhwevmVI/llnipNEZrqScVwGKmuBMEgHzn7lUMpmwELRS2UdoCou7eQ7VDlrkqELjaWYPUPUbPmb33X8/7cfcQAhmF8eu6mVeR+515x7xrbNv7ONRSxxzC4wrZysAMTpQK0eghiWfc8hrPKoH7rmByd832GXNfIEl6h6ebhzCTyty39l/XuhCyKkJSQn0ANa8Gs3JFzxXWdVx2xMYQN6SmEfbS85klRrAi51oakNrVEFLGw9eUrzfiRPwd5CGUQigYttZtQMfaMyp8FMHX20YAJuMoQ+P7SMfw3MSaav9WtECBp/J+uZ4ySyrHeK4rClyDYOAeLhAKs2O5hi5vkoGaVTp9gFKu71y9Zsylxwui8FWByxVAzrmhD0OA09Vc67nOECidd/h591RA86vCKDoPPJm1gjEQODL0+dnj74RQ7OfV710ZpjEKMiak2nfeoLa2GX3zaiDYDumstTw99X+NN8+1OmKbveD9OkfFADlTBBPGfrK8sLwaCuFHT7MwvZczEM1xqKPTWZLO5N7Mj867p7AqV2s8ud1TPXmuKEInnfZGHzvdHfD4kQwFHsW5Wvy9QmH/tUNGq0KYdGZ83Li3xoN3+u1lfHSHhyjU7K+McbafzK2ai2tJCXrhBspq5HMDM9/DKND+i45Dv9WWGyrcQ4hnG8XPPeEcy/fbBmpg7KvG/ZoQrIYB5BjkKM8MPJXmMw7qlxRINyRxzpEnHg9cPZeHwvS2uPf89aAQ7nmA9928x5Q0CXdNMsAGdqHKNzWeQZEhCtVLaOB34MWbZZ77PYZQ15H0ob6fE6DKdHUtwgAWZZQ8iK5beldhw4RLCI8gaCiEv7b8/loTTQxf1igYP4KyfksBpBgrCQfce5HW6/QSQqARFipsL97FoJHuzWFMgAzx3tXKyHUcd1iKw4U8xo/jYiTPnv40PIRPNQhVMA8pIUG4hxW2WmMrg3alqHrGgFS6MkifA5rUoUg6FuUl2l8VeSeRC9d6jCHjJu8hdalW6JQpR9xT4T20qWd8+ehbkVRGCqE+Du90Sz8CAu9Ts4K60OCCRRUmZlAgXwMIUQh11RuMYOfJYtgPjMuMXjhkTee5Hw+hYgj18RprdQ2zBt1THmMWng/VkEsvHMJ1GmPSA+VwQa5xy/IM+s0xfz/dixV5Y0zp8CUZjyQ8+Ie+YWjSuUMdwvuXp679r22/jxhC5oWx8zCBCg+NazsyRN9Befic5rwPAwDto1iKHzisXucrumKFVRYxuq4BShVFX0y0r2tHa1RlJ1SYvnoHU/DMmpkzNIknI3N4nXs44Vf5rls4KUohCqGHEfgx4H7AS2PfWZwZBj5XfMecjVIzzpeg+Yoh/Nnxy8vHTj+YSI1ulPE4Q1dwHCrvBiq/PsYcY2BHOcQ+9di4/t0VTo2P8yW8eIMGbs+DnpjBVcf757dKg3muYgjvO7l/ec/x3ev8ML5VGa7joDkARYFhjufiEQTtMYtjj+cYCiPGyOQSzldvccAiu1cw3q0r9/6OY73mM1yhQ0HUevIsoy5HVUQHxhUgmqxrEjHlM5K2j7GPaL04Xmm7K4vbe1KJne3ZeO9ufnBv4UCIjIL3HprkCmuOaXvCIYZwM1f7/HFQCPc5uhfQNgrhY3f/j41AZyyRf7Rlb28Co8o5+3ddo9/KUidIqT4S6W8167uSFQyLzR3h0JeqmURwtJNtNFjP6R3LrQZJcuICw9a5k6MUyY9Pmxejfefv7U2oCEtUO6bv/pnFQL7TFFRdp793tiyEbx69tvz05neXD9z+2VVxHUqk3ltxS6qJKBKr2oH5nuEZbf/GO26fDegFy3u+96jvmKQzx26mcA9hbFsP0q+tY1LHJ36H12cki9AxPZP+SRl88+Tl5dHmJ3KhnLFzL7HuebvF4GjcPMaUvnK/w8/qs2ufGEvdW+NTN3NZYMkx/j0Tbr53Uw6bd5r2eI634f1kPp5tHsK7jltMycmjGybm/eR9fL42Cy3W8AA5ea1OvC8Vhs31rCmfEx8TrVNfC+w1zb2Prc9zHQP2iu8t3uX77zy9vOeOjzTjzLX1lYYlNkUOX8v+3rXP2id8fG/4+3jffB+rj3xEB8Is1fc2xxMCKpW1IQNOr6zfK+3QvaIxdQ3oOHTo5ulby7Nv/N+XuuzEh+7+n5tP8NpKP30O1rXS6Sp0s86lrykfb9ajvI6ie1VRnO1P2oLm1D2m31sQfF7B/vR1UvcAz1dfftYipx9ZPpTrw/gJ7+jrkmvor67hGOuRcYMH0X9dq3OMBdlcoQn+m3t07Earjau1z7tuAZRz5I6/O4q6K+nQxtePXm3tvxWoCCDV+T5J0VHWORbj2ONIQf7sGudaWqp6lubzuc1GC+2p8+f3Opy3tkmyIy+T5df85LYfLldP7w6l0GlmzY7Oe9e42MhQLINxk0m4po6Vx9jWeNvKgyrvdB4KH6nrW89Dlti1NmZ8V/c9d/Td5aGWYVZtszZ9Tec7pXzl88w1yE6zfuueWPNF5ogdUM45/2Nv8V48t/JG9oivEV8n3o6u0TvebMXD9PzTFlf/rTf/z0tJ72f7bp/HDgrhPkf3AtpGIbzt+KHmIKyguAvowOERhxE4jMBhBC5wBE6bxf3WyU8vpYAAvb/3ihJJba38FzgFh0cdRuAwAocRuJARkEL42o2vX0p6fyEDbA85KIQXPeLv8vMQEK7c0WAkTSHcZaGdWWfVFbdg8V3tSOjiUy1C/go6d9yy3fn1571ibVvXcmzXubUfiuEzpfekQQlundxY7mh1ierHPQryLOxqA89njsXwhPp3P3feNdtxyWd6++/W1B8ry2kbC8VSaQxuPx4eIp3jo2u49rxn+z26zu/jHMdqO7PjOqbPrC+72vd2dz3L79X3t2+9EWvv9uPm0bZ39T5rjI5bAW/6U9uuff1Fx2w2nr/IWK/rcMdaY33N/tZn3mzvr7nX+/kan+0F1rD2aTUccYw9E9dOrtN5jSf3s+fPM0TRjtMH3+++L/nu7c3oio5dv/m9SykgQO8fvPbrUYdwrCfFN581CP482l09Wbv4xC9Ku86j7z6/dT34OjivjXdOG703ejfr12zt1usUddjMCpvDs2O77uNa/Q26NGnr5x3nXp6hNuoxb0O0/qQJx3e2pCocn12/a67O8976PX7defLELg/XL7xW+np1FIfu3fVMzb3OkSuhImDO0j3F4w055hd9/5/Xf5+nOmd1HdBWXS+ztaFjvp7qerx58lbAxLU/6rlfZO3uouvn7Zdd/OI8Wl35w659Pxtn3at17nRIa/7lt/7pUtL7n7cW3+3zB4Xw3R7RC26vlp2YwXuAEQAT82sc+gIx9vgMVxgdOrcSOit2D9xA8BRiEB0OCGxF0I1ZsXvw5YpdzDZMubHgaLLUXW/wHJWd+PTR70V3PFudx79wXNeQ3ZBYKZIVjKQGGYu1pg63mMJB3C043+IIPOg+iftIvkDMCZnEyE4a4NOSdTP62YReZSzlfE1lruM/WX66vNpiSj7Rkyx44pog/vH8/BAXoXgGFULOVN2ZGr7GlHgGTc55YoJkZvlhhjxrnTLVeaHkuH7yjpHspCc38Jg/T44zSwfOc585+mbLOvfI8v7l/ng/Ym2IJ/F3zD6PTIHMZa6J7XFPFMB9njSIpDHXTxqMOJizkj406HRXxmtK8Qq/WmMa232eAKbGTAl45mUgPBGT9vCXT/9u+cTRb7cco3f2dkZB+lqDzQP1iRckXsT3uyeRyXFWRkjtmlaCRJC41iOHfXmSKcbUE8qwv3QOaBfwNtEG4n2phzcgehnD7LFuakMZMm+06OFn3vqvl1JAqEnEgGYBeXRIlqBxZ7KHGiQM6Br3AKfzrNNewN7LWAD5Bq7o++k8qDlraha7R4yT1oSvpTRzHi1vNHr/3NH3WlKZJ+J3/UDPPK6J9eS8wde7lzZJqFoqeMSi5/7MfeVxiE7r/bnwME8OQkIezwFOAqgYj56wzJNC6XjdZy8evdLG4PXlI6cfiD6SdMpjOSNerCe00jUksiEGMuonlgRZHlO3ZpI23kBsXYxLu99j47Of+SFm2uMbnRb4tZXm6lzWnCXLacbeeSKe7x39aLnn9L7l4VZ5tZbomMVik9BNbTNH3j73ZIKdFkfdaXiNFWedRbx1zyI71ufZhDbwRBK/xNh0FafyTXIaVDrqMYLsp389/urywRY/q1hrl29q3gVf37w7/eUvMX7sLR8/zs0yB7O+PS7Qx8fX7QyayntWeLPTf53zsJLLnFW6ztu+fx8Uwn2P8J7bd4VQlrPAXrdYsTtarNgM640QMCtM711FYUM44Hd9HRiojtfUwTBYBDsYamUSEGuRAQrXw/D5uxLv9lYUrX/16I3le6fPLJ9cfmvtFkIuz/IaVLqIBBkQLog1wdxJQEdSgUH4Kby6VYY8I2mtM7gS387wUR5qkHnNvDkTdmoSATFp6hAqqQzB6iSoWTO36V16CQtqVHnCGpi5p+HmesahZoEj+YynCKfwcK3X5+ulpi+PObBMnzWVuCuJfp3uk8L5L6ffXh5oacgfO7rvzJx5MhreO+d8fEimoCOeatwFIE/M4IriHT0Rg+dwq4qQBBK1pfneBNZ3gQ1BECHuRhNIxrrPotcUwFYfZai40owEOqYWv7T8w/LR5VdbJFkmF9klVGyLu6eSWTPwksiglhnI52a/JGioxhSZf+ve9L3kKca5HoHf6YAnA4FeeKKbWotQ/TvUIbx/+fS1/xSeEtFxjxleaU7E/mRsrselxXw2gYvPmlW6x/DG3uoJY9xw5/s453nEN3OuKjC5rzLqTh/nFQiiub4U053ZpGuSCp2HP6gO4Y+PvtOSymQSrbFXRj3MrVKI927EYaf5Jg0xngTHS7TMDBoocy7QkzjGDUAkmPFn1OQ7jNeurKQYkDAiYjx8bnllURxhTSqDkpNjnOWBUKZcAcKQReKXTNyVStd5Wa+rgcyzKcc8dAVzVvqH82RcxsAY82qJa3KtbOmzK6dXWh+/szy/3H1y9/LQ0V3rtWRxniWKGesy28YguCszKKPAmGlemSP668p23RP8rknAUBBXZShkmK1Bw5OAeeZQ2lTfVXbi8ZOPLHdFTohcibOYzBrLOUsOVfvOHvXasewxlEC/x/cZ19V949d7GzWxmWcwXrMh97jY4HSHpDK7ltq7fvygEL7rQ3qxDdY6hMkUUikkUUuksGjBxiiJnjhDDFJCBYlGaoIPLMFKd33X6T0hLKD4VasO1mK3ELvw50zYvSakDK+KkDN8CaL6jYdP7ymLMQohWbNq4PcgqKMmIdZft9qRoa4y/iR2qQSS0j+YQ/9N+9Xi6e9K7UKsnTOFr1ouPasdBJd6hmQ3+9HRi8trRy9HllFXTNxi6144tSPliBpWvBvH8epRhJi04L6iUfx0jOuutIyhN1vK0JtkCbUbXLn29tQPPU8fz/rpWVFrNtAxl+kNVNkJeQgfO3rgzKZDqeOdsPp63cCqiLtl2IUTBAgEKD3M61F6nalcG+n1rVlmyXSXimJXysxaj2BJcXmYvStwtK+/T5/+t/AQSkCoFuWc2xSTMsNuS+7Urf547Vxo3TBlg7/N9lW1/NInmP7M4MMEse/VBn3y/oz9lEoL9fNQXIJetcL0/3T9Ly61h/CT1/5jJP/y5BWbfWpetpyfkcjJESLyuCZ/GBTEFUm8udB0T9RRBU/Wm8+ho0pAYbgBUNc6/efcTNnDQ6g6hO7J5hmeDTEVywGpdUMg/XZhepaZMfZ52z+evZfvrPFa05b+e3H7VIqTf+jj9eYYq+rZWzO0RubwvE9lhl47fnX5yK0PnqE/nrkY42HSgLzXPUA55qO24i5FbNvXoaxdu+22lk26gSM7vUdBHKUlci2Jzo2sm746t8iVqqhWbxXnyTJ6/9G1dUzcY8nYe91fPdWVRnoBjUaZrR7UWmIK5XAtuVRQJecl4fEsoqCGsl8kUhvzUxUnX6PfPv7G8oGTjwbdrLKUe7cdDcJ1ou9656wHmKmieJZnCWWt+LpJo53KdHVa0ftd6T3v5N5/X9/0y1Eg9Vg8v5c/Qzk8eAi3e2efvw4K4T5H9wLarhAimB1Z0oCJeqyIrqFuFRkLYfQSwICRBkNplhod+9rbf7V88MpvNY/Mg+tbVQipQ8LyGcrCOeCXDjdQI26h5RyEyIucujXZCZYsxt8++cfls0f/YfX8VSElmZ/YfSqTPBdCKWiPBG79pkRFTQn9dsR7HYVwMCIStkQ8xqr9l8CgdnSPngpTdAaf1w4LoXuQsAb7e7ogj6KhY4KMvnL80vLErQYjAa5ojMohPDOmn2ORacelzDl0tKYsdxiMe9+qgjiDzVZPH5BSykQEtNOgo1VxdIgTSpue8/TR15eHTt4XkNFkRvlxmKtbs2s9KF1bixKzuN0SjEJYhSpn3g5tjbmLGoQJMWKuBUlavXhdWHLh0MfJvQdqb6Q4zx7q2n9Z/nZ5YvmNgIyypugj9QRzXLbekI23su8LyjsAEcXTrva+c/y15bHTj7VsptrRmZY8BKoQunNlSMBY13jsk/So89HvWY1Q9qQL6fm+w4u1CvzNsyWDlGKJLrtCKA+hygzNYPwav5+X0ZP7QIq4IdC/r/uh8YFaLB7FUgIcXkWnv3gYsz8jIyW8wekx6zfXdq6duobeOrqxQkb9+uQPCW2ugiyK4aZf7Tqt4+pdmXk4fS3iacG7vi7u/gX673zC6aYbFH1M8A7NzuNt0vU/bUZZGWY/cPL+eKJD1PXdlUI3HtYxcYXxvILromHwFUeZnAcNrSWUkv6cDV3I98+Pl+fxUhaMLzT8W0c/CPnj4aN71qF3+g4ctnr6fJ4Yo+r9i3VnZaT4DU0DUorMgnEXOu/PWI2afc27nJPrCdo55AkPL6E2bKXhUgjlIYTe19qg9KEaWFA8d+0Pp9NS/DCOeEmwutbZf7rekSmVR1bveK0XWuk8xil3LlzmMkOzcd/nsYNCuM/RvYC2Z3UIlfr6yunVbpdM63CFFdXUx3gIKc1QSyoAQ3WPol4Pyz3CgqeMrpYiJ4wQAlmdqFfjHsAKI1L8UhDprpKJ8EhA+O7JPy+fOvrdlcHLG4KgikWsWsn0zCTM6aVxixqEDsVmWKxTCM+2h6CbHhgpv6T5H3EG7lXk3d2bVImnM6Vq2XUBifvwEEohBPZzHqzR4wmBjbpXEEtshfJUhcyhlvoOhFT9l5JHXGDOV35g9NVjGWMUkNosHF+Vx7WuldXCoj7gVxqDrArhrMaWK7v+jJjPUNxGUXnGtlrca2yNC6tubZ7Bpnz88AJ6TOnMaqwxUwyplEg3QkBS9Mxnlr8LhdA9hOyhCofzAvSspcqM5YXX3qjeQqDcejYexyqs51wP4w/9rN7wGWzUvYbct8Zy9ThC0Aj6e3Ry66AQNoVQSWVQ/LC6E/PN79iTQeeGmUvnELhUhB7egCI48wai3FWjX9LLLXzU+Q3ziRLFGhnr2HlTxgrWvQWc9OcphKBIBg0fUFLvJ0pirtkBZ/X9MNbvKHrPsRXS2UcOj77Tu3F/foNPpPKaH6d1XM+1GJPcM/VSK7MkyOiHTx5PA6bFmOu+WeF7j32u45r4ga0HDfqnc4Q2EIs3M/I4EoLztU3nOyijTl+hHWPvJ+yVdjj+naNnI4bwkeXeNEiVuHT6zNjwrMpLq7fPlTtH8TgU1+tLQq/dmIeH1+M6HR1T5Qjeua53+JND7nWt3okYQjx1bgxKo8JZI5runRWd9zGvfcB7iEIY41oMftzvCp/Le44+8X0zM9g7bQeB5ogFIUIua8y404WL+H5QCC9ilPf4jFkMIUrdFq6T9Qar4qeuZV2btumbBR7mLkXvRlO45Enk44ICm1jnXPjI9jIhRDCp1s5ZC9koSgohSyiDgvoFYR0xThAeEsngkRCBfbPVZCKpDAqkCycOE/IpwEqVfU8BpH6ACrnyR7IZYKWvtuQW97QILoreu2AAg/B2vWitjnNNtVpWJu6MTwwLBeqHRy8EZPTJlmRh+37JUDfHutLFvf53VX7NS6d7vVCvM3XFz6HIAevUsbh+A4EcSt4sOQyewBsNPvl68/rcf3R1jXd0JQgBCsUOJe6rphDWwstjDNP7WT2F/s61YDEQo9n6mFnUa0woCYGI41E7s7hRGRIQEN1zGGu+CzsuiCBMs34FGf340W82hfBqTLV7uVEj3VqMBwOBtjJwLNI6X4sRx57usG3fLy5MsPeUeIb97M/wwvMoCCiIvlZ9D7sXChTDIYYwYwilECZULGuTQtuTZobIHMdAgThU1HlDpevcj+IIhGsmzOlajIG5X4Zy6PTXPdA+974+8Bzm84eXkLUhnqIYQpLK4K12g6LT82qMqGuMZ1fPNXvJx4F73TuIcRBjS32eKwHrO3Tj4WooM89p5ZMohdAyJZV56+jNllTm8aAnUtTkFSMEwL1eW/h7GimrElbDFPAIOi31ueB7zvngMdBWp3eizkM9WgAAIABJREFU7Z50y+ezIgd4LnTY22bc1PYPjn8cYSvva4gQp0HVs+fzXJXGSlurodbHfIzDgPyiBHpfPVGc5gA5QPQdWYHvVdaYGXqrgZr1KIXw8QYZJWac9cn+872XNDiT0s2eUb1/VQ7iPpJ+MabVoKPjuwz//h7sMY8RjP73GGdkxlk94wNk1Ff0fr8fFML9ju/eW3fIqFIS6+MKoadaHtbQlqq/KWoVHgrDJ9scUCCUO51XzIlngSLGBOLkBXWTcaig9FmFqzLW7LfgCqGebjKGOiNKJpwqgmJK5CEUZBQYmwibE8hdEwDm3oXjyqi4t0JFVwXFPIOp2KYCBJF0K2+MRYd1ionrI4bOM+UJ4j5izyDKrkw49LR6CBmnGAPLNOeQHZhcZb6eaMazdapNkrJI6au/3crt3kDBQmfJBkhew9jqnpdO3oyfD7bYEH24z+P94t26wioFUu8ohVAxhI8uD66Z9WpyGIQUhBZPBoNHNBO3bA0DM+EO4cITN9T1VaHBOu/xgnqW7peAoHXlltQqgMysyq7UfWn5++UjR7+2XGsJpPCooWB6plzPTsoa018Ydox5X7meQCbmusPrtF+q154xwpAz5jT3e6z/3i7vQqxu7YdbuF1ZCaNUozmeGOEyQ4ig95+99vlmfBmKYFX+MP753EL//VoykVZBzL2IVYibxQD5PtgFY+X5au/aaSbGqOvDaVj2fezL6iGsEGWSjXmMVO6HVFLHfkoqPYsbdOUQHsG7uSeb9egCv9YwBkRiDT30gfdxaCl8I8/lpwrY0FhBRl89/lnEEFbFJcaNGO6StIr+kyEz+inIeufLNZ55F3QSj+RMwdAzXCFF+RwQf3jHNsup09ka+6j+YVxT+/IQXju9a3nv8sCq3DKmlfasv7thTXR3Davo8dtV4R5IomHI1D1K9iUEEPy9QkJzzY4cA+d5jFnfPItM0shDWgPEjPt601h8t/E7soxqTeMRdxi/f2cMmC/me5YUzK8RGov94vuxGmlmch3PHPNxFt8CfXB46Ohr7lVPZnjz9PryL9f/y6WMGa/jue/fB4Vw3yO85/YdMnpyPBQvJZAhscyu+EEJDVcaY8Y9jxAhgSGO658F+KIo6pWAEKEQ6loS0PDKcv/rg2DowiDXVGiBwzsgXDOiJML3amOQ3z/98vLU8tvB3GoafX+GZ1r0KXGhdrUWhj8pPzDvCjvROZj/jEHwXrTj2cp0DAa1C2Iohvq2GFGvNUb82dqvxvSlEL6yvNg8hE8GsxsQlrzKFUopGzDE2TNznhKmQ8ZSvTMKVLxvz6wJLFWKo8cMVi8gbY4xsJiyDtVUGz85fXW5u0Gc7z9Ob7SzEBLX0GdP8CLIaJadyLjWmj11Nh4zD1+1Nte06pyv4+YMEW/vzLvL+yOEScipcDE3KNQ4VdYeiqR+S9CUQvix5XPhpa5eOz0TT3td+54NmJISKTjn/BCPld+HQL5L2Ij1bLEkMRchhA8IqRte6rhRZob9p9+KV1T/gSgyhvFeDUJ0WQWEagCsdWRz7AcahPnE2Fe9hLX0hI9zLTnBb/cYOlIk9m7nF/AOeEAktejndN3qEV/VoPFk1nJVPFRm6PkWRyYPofOGXYY81q+/067x0DO93AUCu66viiD7SUrCjcZDPXtqfRZ9cNSLvx/00+MHK0+kLxUy6gpeGndGIpdZ/9lfNR7ODXcoSRpTh0wCDXUlLXzQBtvk3YmD9/tzXaZX0enpLDkX93v7ul9lJ6QQvuc0Y8Y9o6vHh8+yg3oMdo3PjjnqmcDdY+iKci0lVJXDmWG05kFgfDx2FmOzJ7WbBQloP327ZRl1hdDXCUljWG/wfl+PXnqF4+tcmCcRea3uw9l+qnzHPYgVUbAaZrpXkL2ovxWSTombcFy0XXaAjM4oy7t/7KAQvvtjeqEtusV4aUqBksl4dtEa31GLzqqz7vXzeBLfqPWltIGvhNKZtcKS4GdWNwRO/b4R2U4bdKEkHuD6KhzC6EUgdT/WKmBoLqACGf3Vo/9hfS6KYe2vw3EcGufwJd3jVuFKGGtqcv32ukRiCjABGDxwIgkPnqhkZuGF6agf1YrrcFPO/Wh5aXn56Pnl06efitf1uk0VHuTW15HoJkfJYwfdg6g2PF6QMR1xkOmJVMY5P8Z1MR4drulxdK5E6ryU3avHVnvMoKt6b8/gSlY5zfNXj762PHj63uXxVpmKDyaRGUP0Y4wHgo7Dnpib9X27oqT73TtYk9Twjqu1tSeWYT71t867l5XYjJt5n3NdWs3Hzryfbgrhx5tCSB1C7q/QM55LP7S3HG6nPZe+6oxDqWMHJM9h2zOhXUohCgft1X2IMut7zT2Yfj/KoCsdOnbr9Oby5bf+90tpMa4K4S40COPuCcJ8LhwFUpPInPe7lh+q0FM9w0uFsObwRnN9pbu+Zl0RHHviNHjJC0c/bArhx9b1m+toCy9NHpAGCfd8uNFjq5SNcioOjZ55Quu6RvFybzh9hhdgVKQ2IbHogeQIJWmbhRSeSNmZHNOjhTqEiiGsaJS6z5xW63uNm3PatY7xGqedY+dKEEoaSBb4HkrozGDKM5OyjKRf5xnYdCXGTTeuOWT0keW+6DJoi/ouniHUxwk6WpXvYQDNkXBvH7/X8ezn9Zt5Hee28a8zI4CuxSuo71oTyAhuePC1hzz13eN/jaQywkvk88+Pka1JZLyfbvRDiavJaHS9y2eUBKMdX/Oej2G2Fr2EjdNznBHIkK4Y8o6HGMLZiO7n2EEh3M+4XlirNanM2PQjiYCOSRGceQy93IQgpFwLhKjGkSSBHIH4IgpKTBCEril++sww7T4gbjmqnjS/DsIXlsLO3N0aTNmJzy6/txFkndnX/tB/WYN3ef8czqHrPe24+ksx2eFRyWtiDFblYQjweHwoNwDDkXVUcBRSXosxAU9xpcQtlQ7BUQzhz1ptpqdOn9qUOag1qJKwDk+PKzUkDKjJWMj85qnEZ2nE8crtUo5msXyuGHsSHM86pz6jTKKUouxxnTyE954+2DJgvifGnvmoSQ1YU67o0G+PH8y1kULkbAx5Bgo0yqxDvPAURlsG4cIrmG1shQ6EKr+GNaFstfqQATeF3YzhrAqhw6DZV3WvsvccGooiWD2DPh4IHx6vxXkMLFUodOg31w5YVsLDY57bP5AGKBz+2xVDXf/26VvLV976Pw4KYQsRoNZsjm8maHFECGt/lnW0KnNO67mPdmsoQPUMunCK0uRKoNN8hD6PF/f9WxNqsK5uND5DHcKZAuLeCtrD8DFby64wuhLq48LeZo3PkCZOWxk37x/x6JxjD1T+MWZujL7zxxeOfra8cfz68iu3sjC9G4n8Ov8+84a5kE9yK7WHt86h645c0DXulfJySowvPa8K6MpTZbTuIRO+xtxgyPEa/ycPoWIIHz69d1VUPNNq7Z97EHXOlXfGL9dJfgbNzGP+7q6c1yRgKPg+vxUK7Wut9oNrZwgq+qV1J4Xw0ZMPR+Ivp9W6hnISDsfMdxvZd1cPXTGg1LnDaOdz7WvWvYDwDt690hRPGBP96dmKWYPA0aH7nkwG1NnBQ+g7Zb/fDwrhfsd3763XpDJsSGBDKSRmrIk+WIxvNgQ6vz2mxBMTsIG1aeVF1MfjSbzosdrwWJ8kMnr2EPrWexuREgFwgWC1irZzs0yEXrgY4iSLsWIIP330e9E3iK6IozyKaYG9bRU4PbGBx37kOIyYChgzHj+3XrvCN7xwOc0oeq4wepwg/atW1qoUO2NyZVEMkkQkaveHzTv4Wis98anTT+bze+07h9o49MeVaU8Sw9jxLM/whkJIEgP3IGL59UVey1tgfY21FB7Vnnym3+QePX++xzF6YXl/lmII7z95eHnMPIScn2W2o7+uhFLy485e8J37XcF14c5hoy7EVOhU9QS6h5estO4pyPHZfjwO0CFgWJifOf2b5cmj34lxpebaCnnqBoCaMMMVMtEKxaHgoauxKMBJ1St56muimfAidLoSXmt7AzfieLIolAFf89WrWLM9upCgvtxsCYguu4fwE3f9L00wzJhbPq50VdhohZbWrKPejlvrXcB09IhDQ9fnG1wU4bMKqA4b9Wf6unVvgwvWovfPHX0vIKPrPg31N3c7a8492dWL4sbCWstQ61sf9oHHv2tsSbChNj1hjns7OQ5/cdRI9WRCEz2mUMeqII6x8eWWVGaXQqj7vH6pe8YqtLQasOC9ooFREqEjG6qS6dk4Y5y6clezm3K/K6N6BjGI7sGLMeix6Xj8mFuneTpGUhl5CP1a4J6MnbcZ66Ib5vR9VWw6RHTsnQFlrbHdDg/NOctPjY5zg+OuuWad+juyxpFZOOfrT3T6+8ffDMgoWdKrcW8YzXscXhiIkjd4DC19qH10GYuxymtTjmOduDyk827Q83IR69j2GqdewxRFkljBmuGYe6P9Q5ZRH469fj8ohHsd3v03PitMDxMWfDQI2Gmrh9dEOo8foWeVYes4ENK8d2QflRJXvYFY8rnWrcNehwriVRmpexcc6uPE1TMmhoLT3kTE6/WWcU0xhJ9YfnMlfDB1rLYiniK0tcC2J+Fwi5fewxlynUG8MzOCz7UI7BB6lEKUD4eZrsS/16Vz6y2E15PMBIHuMMrnjlth+qYQKoawWlhRVreEtRH2nm2OWA68hQ7p8Vg8xRBScF5tuUI3S1aTjCQ/ntjGj2scrhwDexlJa0aE4Whjprgyt185+kqLJ3lsjSHMuct7PQufeyQ1lryTewNj/UZMZHpSUfBIaoAgWWG9+V5Z529AfhLihaDCfLtg5kLQ2Iv5zS3OWGupl4nwKWvyV5YvLB8++mzzkt4V93FO33WeDxk/s239w5s9CnfrnAvEXCsYKJ562iMWJa85mzAKKJGfq15E7mXsBD3HIhxz0eFQHksCrTl4CO9fKEw/i9PR+EkhlNEPA6Agoho/Ge00psSLu+evCmceQxjro2ehXheW5qmHC/gx/47RsPKFmON2L/NMrdjZmmJPSiH8yZGyjH4iHpFK19ks0c5Hci2dTSzjBgv6Ozx2wzRThWGu9X2Igjhb7zw//w4lYgjv2SLKHHvf+QzfXyoeQr/HlRQMa7uSoOBZ5G9V3KrAv8u75zzHlTynh+6BjDEIfpKJtdZx7wrhLB7Rr/nW8feX+04eCA8hRrXKL9276XOl7+4xdFpd56auZYeGulHV55t1WMNK1BbyAHt1BhPlmR57jbzGWlEM4aOnDTLacjMA84ee71L66rtU73uNxeWd2EOOCEFOGkiEnMNNTLpoRKEJFU1Q+7TCSXtsYTUAHrKM1hHb3++DQri/sb2Qll0hvNWTyiiGEK+gF6gP4tTj+bzeoCt6XqheG1NCxV1d4ISIUruKovUSMvTxjQx8tHq/SD1fLcK6/43jN5a7T+7uUI2ElDnDJ56QgUUh/OTyWyGY6rzaJUbK4QwibNQyrIxiZTpduHDIhFpU4gAEGq51CAVEFmYA44dJAzl1Jc0ZojM9PVseRFci3GIrRSoKubf3VWF6xRCiEDpMp2YqnS1GTzteE7J4gpnh3Rqt6Pkzj6Ir8q7guVLm7xvrxmoBkmzHFdZg2D1zntcD/NLRM8vdLaGMYmq4pkLJHLZZlT36wfjKgi3I7pVe34u2XMnUPTNLaS0hQdueptyFNk/wQ3ukJvekAsofCqxVbbKGUAiVZfSe0+Epos9qQ4YQhGYXyNXOLg9dzEdXGjG+8C4SHkge43DQmVLIOCHgeFwx5yQIUNDc1yf7tsKN1jG9xBZjR4Tc0SCj1ciHgQ+kx+y8jq0F6Tde3VSTHCVSE8uwPoCXxr4z5R2679fpuycHclhZXYt1Xbpn4q1WZujFlmlSqfc9AQzrb+tFT8SHQ0azT8MYgsfbaVb1bM4gcTMonQvFnHcETFUk6u+ZAliVxpdaDcI3WiK1x04eXWHj3nffQ7ynP4fYuWrwpGxFjVN3gxY0kvnCeAb8syZ48fjDqrQ5emJFBikpmkFJXZFkXr9z2w9CIZSHsHr9ePca05/rcxjZhtJ/VgmvvMOvrUa6lXcENxjZlHke6A7Gy+kffMjXjO/TmosB2KeyjHrZCXkNZwqdy0x1Hfh6QenzfbEaPhuFqPKX7y+fU9/DFe2h64KfdGXPaUWlLW4QjD61e4JWXeKYcd/TF/H9oBBexCjv8RkeQ6i6VLk5R+0pzxyajPmdJoRlNsfKmLH8wNQpL1Fx4ViVEeggbDVAeHgqb631CMkoWOGknogAouJMv8aCiHAp65zqEAKbY5iHtW54QHhehdDBiGe1D9WeCBqCQ5bEyPgt/wCJoy6UB6178L1DTL2oMFnf1OYM3uOM2TO1kWVUkFFXfNSO18KLue5WWMamKjt1icI4SL6ytTqnqsc5teVKkz+L66qCF8lUukeuxvzNLK/eb67/8tFXW0Wq9ywfOH0klGgysgYz6YIfCjbndNxTkDNuCEVxb8+c58p5TW7j0FliQ/NdsZqSgCZrgDEnKWCmQi/FEyHIa5l5xjl/D9ZXtNVaoOyEFEI8cMwjjNgF3OpNYpxcaOT+KkjglcdiHGuqw/VSjdiWmvD6gqqbJeWUD94Vn2f1F0MTxYmjf5aR7iAgLIsbAG876oa4NvquCBIeMIsbpNxQrtXhCavQSn7XUANifRz9QUjBCmFrij7X1QQz0HbPzFlr1u4SNlWCJCGjn9h4B4fitIWODoE+USW+Xlm/rF2HO1da6O/gCBff724kwqBY1/tsb3kcewro2h2DRsibxEdZRlV24vFbj60hDigj1QgJj5rBUdVe0ofxqXF0sUc3pYsSBcG93Fk9gK40wAd2KYc+zrwz8XnuZeS5UgjvPbmveQgzqUz9eJZVaCzXeKhHVYrcuMu5WSkdaKrkEm/DDXgu1/Dsup61hhwe6nsPw13wnrZqHdYsD6EUwixMPwwb1ejDmtZzZYBn7VeavhpI23WuRM4UeNb68KwSr5yJyKosyfVkF96FJOA+R555aJHe7ejk1qXNKj1d6Hs8eFAI9zi4F9G0W4zvbHXcuj1mtdoCE9Im83OebZRaVJxXyQl9qjDmgb9ASVVPSsH+fDjuSmPFlTtMCCLL89yz6OPnRDuubW8jCNF3Tv5x+WSPIZzVL6wWXxeKEUwRXmdEjT5gKXZoE8wL75BnFk3hY3xmZQZgrtWqqftgtJUxetwGWUarQijFQUWBpQThBZwpiLssouoXkEsldHmrEWQ91xU3nxspSygrDiOqSqczJL7XLJ/JSDKD3EyJ9YQuxBC+f3koGNqmT51hokBXryvX1oQ9sz3riqt20SyL3Qwy6kJiGhbEoLM8CMJfLWqtuScGlUQyCHXsFbwmiiH8lePPLfed3t0FvIxzqmnLa+wfFme96yzpRsx/66HHlLhCPrM6e9INr9GmaxEYqrA0q2/qtAIDUzVQXWYBoSqEjgABFjpoVhoG3UCoc16jEEQI97iFX8c8ZMBpfJxr/2qNwrWd4hEImt1jDN1DVb0kLhDHPd0Do+8SGqUQKo4q6YTBDrtxou5fNzoMITop80qDukCc75T+0dmHmpx5bwrE7k13j4q/V41X9/evHiv4RuUXohPEEH7g1uMxKmoHRWfM34ilrwgVf6eqeOkcSiKGy5qNM8anGxbdm0fsvM57fVV/Hm270utx2ngga6IczzCNQvhgUwg96YvaBFLvih9zrDGt6BzosfPA6unT/RViyRqpa9PXBJBQV6wqzJKx2cg/fR1W4wzrVB7C951+OEo0QZ99DXrffOzdYKfjNVbQx8DpfH33XYriWHtbU7m/R4WBMl7Rn45ai/43uGmVOw8xhFNytJeDB4VwL8N6cY1WAcEZVRKIZAvElHDMhQQSzDgj5DzKorflG5c3rRvZR6BmHc3+JBzUk1KQ3AIhwBU2oG8QYt1LYfpPHf3uqhBUi69bd52h07/K5HW/CiAjZHsqZu8rfXfoq4sRQEYE+dNnBvurHh/ggc6s830TKsgHj6Kyzgky+glZzDvkZu1PD5onOxoxbdWTmPM62gYC5MoYGUjJ+sm74EmjDS97cd4OcEXRPYUwvlW5bP2qheXVLp5JxRA+0MoUv78llqlwFsaBLKouGKoNPTfXYcb+nWcRH/UM8zpl/qzC2CwulLljLBCGxu+M9XMh2GGlKFN4yn1fqM9SCD96/Bttrd6VBpLWGrBqtUkSJfYfe8M9J25prmnKq5WcvefeR0/6sdKCNjr0FSVQz8RwBK2YlTDQ9cSqOS1DKdR7XeZCxdUA6GUncm/kCnJFMOdgJBbzvellKXSdJ59BUAPK5QiQKuB5jUKf36owwmOqNzH7TgmGVLbcG6frlQWbOoT5jsNrNatZ6/vO12Y1hOHt8eMVapo0bmRs5Dd9rJ7PGUR6lkTNveU83wVx7xMK4Yd6ltH6frXI+YwGOx10oyVhDfle+UE5c8XbFamZV7E+U9cDhYfWzuCgHvtXn0eb373th2sMofNT+uyxkf4eniXcE3kx77q28naMcMgk0L5sd5SXYDyr0cs9aS6D1DXuBmogoFXJ49nfax7CDzRjCB5KvNruRRSkX+us1ox1Ix5rijJBiXzKcACn19zjSit98wRL7F1Hiq1Z6i2e0GnGrtI2fpxQptPTdw51CGebeQ/HDgrhHgb1IpusAoJKSyiJTLVySlDAgoyAQD/dc5ibOy3L+qBIJoNuZKNvcDFnhAmImgsCsuZmJlGShwyB0ONMnPhXOKeej9XOmSTM/9Xj15Znb31lQSGscDaIN2OB8ifC6/GIZ8cqYRB8KuzJPTczBuOWWVKO4xkabY76U87QOO/K5cYS3mE8UgpVduK1o5eXj9/62ApL5P5a8oA28DDGuHYoY87ztmgwYyfl645jxXdkohX/1HQieBW9+HAwM6tv5dfkWsskMO59pC9xr1Ziz56KtxNFlDqE8hDuyvK5wmKsBITHDNI+a809fTEubYy8VmD1BHr8KIkOst8pWHm6ch87t2rPBEH6k3OTmXfd+OAxhLIYu/JU4dconCnMCd6z9aZ6kpix/gb8jrXgHhUfL32feROBC2m/q+/y6Kt26SzeysdV0MAVpdDpEHDRVAgPWUY9qcyYs/RYVVRE7rOzXi9XzlyB9HUqGu9Ca67t5j3uVv2aHRAPL9c5tLR6DFxoxGhxnvC8y0PoiqGv1ar4+dpO40zGGaIYSIgmsRLXcl22e9YjWNey/2YMarbSWWyWX0vcOoI/7yeF8K2WSE0xhLyn/u6CN3rmbEfYgELAmJPPTriqlKeIobb6rxXpsEtRhD5V42f1PM6QMxg9Z4oeyXN+ePyTKEwPZLTy3prQZavg57u5IZf3qhnGh5FshIcwxq5QVyNkheRXuUJri/IQGnMpYJ4xNOcgaeWqXPU+65w8hEoqA71n3liruleyTSr6PTlaeWen/Z7Nl9wOtOVe7OoZzDWXMFE3hAR/Mbi47xl9B1peywg5vWEf+NhdZnpfx2bfvw8K4b5HeM/toxAqDfnVlmIDRY4C9UCKXEioVmQURVfwEBA8CU1NNgBkaObmd2bvEIAZEXEigMUUYjcjumDo/5/2zj3WzqJc49PWcJdyEThci3I7FBKOEFQgaIzxlhwFJFH/8RZvUaN4VzQmEAUjJELiBRCiEoxKMF7wnhgjKgT+UDlyCq0akBZaQC7t4dJSoT3fO7OetZ49/Xa7obvtWnt+y5xD91rf+tbMb+Z7Z55533lHB9OHINxSli15Wdy7kY3UYILs+wLC+MaEO97T7/ug6BMLH5CnCy/RYFuvYHqIqfaT+d6PuHeEfUa4Y22g4+/75j+U1qQH88H08prl8nTeL/cUxiDgGU4zWxN3njY8rpU4q88mlFdN4aNxH2X0rMMqNfC4iBtyG+wd1N+akPnZfxKsnrjG7xVliJDROIdQHkLdr07Io/d1z+yt6ph62FHf3hXtSZEg9IAYtV2dsS9+Kwh6khn9fr1SrX0/U7PolrArhUBp0hb9URNLte1t6eYUSWV2HewJjt/RNe757vOMK9QtvqOJRPzbJwy+gq7nURMNfwZGE6jwoJRQ05js6LnW8+/7xjxBjZ6tmPBHhuNctp6MczpMPUKI/mfdtU2fQyhB6LazcAux9pwhe02sXBB6QjEfF1zo1ZNbX8RT22f7OZgAxn20COifz+SaugyjMo+yGOr+kWU0vCTel9Rv5ZX2qA714bov17anLnP9LKhfS7iWz8uEuF6A0cS+jtbRGFPs5si7Gc+2xjSNTxKNshHxnUe6pDKPzv+/fA6h2yKf2E9ZPBwsA/gZuf69kWe01F6f9bHqE3EeVeGLYaOzXUcLY7Wd9KN3+kJbvd3UFss7D+HuG+Icwr2GAlb3dQ9n/d26bbXI7P3FQ/X9meqLENLnak+JI7HvE1BajKtD9JX9vC/D88jGFs/0XfOXdmfuHjHF3ssue3+Of7vH3OvvXj/vK36Nwv+9Hn3PhzhMub/t+fZnJF87OH5iWK9BeGh9Hz3/Clcnqcx09Gf/fQTh7DPdrnd0QRhJBuQdXN+txu/UTRRHsesjD+F0YUXyAuoB9fChbGSqWG9/4Ou4b3/o3UNRTxr0mSfFqENJ415unGI1K8LjYjIS5xAePe/k7EWRcVQoRT1gKxV/fd6ar5TqGl/Vjftq1W7nnM49JgFTV9zd0Mb1vuroK5ca4H0VchRGEgKwZFuTqOj7rjJUKqlMCEIP9fR9ccOBovLS1efsyWcUewZjkPXwUPeo1cc6lLYpL1899cQs+kzCtN4bWPrRVNEqYaozAyUGh/2qu15JZUIQ+spy8PGseNMdzqyV5zqRTynvKHRKf9fC3h/0OkGD7xf0Np8urKs+e00sfUU7e9wGK77Rt5VUJgShey/Uv33xxb1BPqlV27iXJFaZ1Sbx+y7uIkFMfO6ee3GI53HnTtCpLj5Rcg+F6qZnXommlFTGF5PqoxDit1peMa7+reYkAAAgAElEQVSPGZrarrF/NBYONg0PrT2EnlKkjgLRqv/oWevxLtpen9r2+wKhh5n6AmLudzZ59L5a+l6xAOo3OpbE9xD2hWCqzD7ZrfdMTTdZ1nc9wVg9VtQeWM9U2pfRVBP+8pxtmoij9rDEdT526DmMMj3cJZR5Mq3LHkKFe2prQj0e1fuInaWHPO7SLTiu7xbH5G2Tl9D34nkIaSnPKPlZX5im207/vBZqvv9R+6a131Ii1u39XQvuSntv2C/t1R1OP3q/jM0Rxi8GCveMa9R/3BZ5RIbu40dBiI+yleu+8hI6W/fmqd/W0RoePup23W227LB797zu8hBGUpkyTxudm6wzYuvFj+kWQySEa0GoemtRQnt+67OnPdTfF2/kIfSwz9oWTBfBkNmZQPS/2UM47O7b/B8Iwm2OeNv+QD1B0GRAA02sGEdW0dpzqLBQH/x9P4mv2kYNhmnKu4c2JpSeEMJXdKY7c6YWWKIiA+H7ndyQu5GK931g08H0R847KZfJvRcyrPWKrgy4jKXvr5JHUINyqXeZ6vtKsMru5wuV70zNQupepDJYTE1/7QJD//a9h8O9egPJpd+LwSvqce/8+9MTXea5Y+yg5vgdZdHUxn8ll1G5NUjW5xsqVDPEl2fddK4K34zy1nsINahpA38dxqlwVXkT/cmo9x+6oPSBzT2by7o9FZFl9IAN+wzaqDDuW/kcCpLqQGKtcktEy4sor6Cv+pa+U+Svi84soLseor6lxC5qp7I6XMKV6gUBn5ypv/Xty9MzEf1QixIhCI9I/zVMwe/38gn2TLwk7hXQpEVnePre3ph8xGJMlEP7SNxzKZGnskyXUEbhpDp2YmSvugQRAw+X2xjvKy3vKamPnZBtcj5FTJWwf20PcAHoWwJcKPZlJ62Poch2bLBtoN4TVEeMqEyeKEgCv05Q5uXPdarEYrwXCwZ+DmEdyjpaWCt9M17yfg9tXrWQ58mTZL98cVKLiz6RL7Z8FC4Xf8tLKBGhdqmvy7bDEj+p3/t7ffYr7htbJCJkNJLK+LOufcilHCOhUMpZslVKRAxt88Aeibsv5kkUyuYo06mLtr7vFd5laXG6MxL9e/UxTf6Ze0pVnhUL4hzCvdPC7hxCP6bDoxrUhiq7s+wLEa2zM+t7tXDxvpX7+SCyqA4H1u+XJ3C0kDK0b4Pxo47E8MWEOqGX2lHHToRdrvttPY5Ee3qYq3/u+yX7OPV5CD3Ms2/vt/r7sA0rb6AiDDz6o2+vuJ4t3SfmnRu6BYsla69rMiJEHLbXfxGE24v0Zn7n61//err44ovTqlWr0nHHHZcuvfTSdPrpp8+oZC4IN86fl8VfGKL6UOL8wFo4kfYU1j/iB9grfMvTAPuDWick0PVuCP1oCg1KSi6hvUUelqk0yTKCbry0sivj9ti8x9OKDf+bj53Q9dnTNAhbU1m1t1AraTLGvrpee1M0uZfB1wTYV4+10ha/owFD+wvrCUQp30gQak+hQlXqUB+/Pn5T4kKCJAb2CBldneIcwv/MoaXxm7WQUWiOjq5QWeO/caah9op4P3ABmPvN4BgGMZYYrAcTP88qfs/3AsqDme8xCBl1r2bfGVjyGnrZ4/vh0YvP/jrvr11SmQPSgRueNxSBdYivJ3uZTijmOg7ap+/f8d50R0toNdoXLvx36qyidVhW3/4f9U/vXy4SFX50x8ZbclKZEFBaAPF+nBduBt4+TTh8v6BPSpSMoLYHPlGMzxTqqQmCPDnxmWcaze002D9c7y2RPVEmYp98+Z6z3BYDYaDv5P474WnIZ8ve69iJ0mdL4hiF/9eiz8VenY202ITRUUWlLYuXWIIx2rlPCNb9RWXJz7lNiOtspZ6GvnfiPGh331sYCwSrupDR8JLU+7pVDj17dTKQWjRMWeTqEUd9QrD27oQoKAt5mc7QAxhlmS6zbzyHnizHy+scNJ7o2rhfCMJYADzk6UOH3rD6iJq+RafSFqM9wbV9dwHo14lpvdCq97XgqYiZelFpNM6OwlHde9dXJr1Xe+Hi/bsX3J322LAwh4yWPloidTSGSrjW4bSlHxdvs/4d/1WUg+oznYAqfbpsI6nLPF0/7Fus0Pf7FqFdMHo/c6baQxgRIX5gvMqndvYFQA9Ndk9l/XxqvuMePy0m9D3j+TcH5wTGvM/PGdVn+Te6xSONEZ6XIT5THgrZBv8dfxZajgiZjv22eh9BuK3IzvC+1157bXrLW96SYpJw2mmnpSuuuCJdddVV6fbbb0+HHXbYFu/S5yGUNy8SzMR+kngk49/lAS3JYZ7szvCLh06H2LsB87ML/UgK7SGMBzge5joMyfeZ+Abi+F0/TqLOwDYyyGWjcl8oUH2IdVwT2UAjZFTnEMqQhuErezJKiI4Gbp8UaHO3vBxlYNc5jqO9K1q5dQ+hDLs8NX1iLuqkAUb7v2SwZcB9wKzDXuIaeaF06K/2tCkccuX8B9Kj3eH0R3WC0Pea+JmB8jz6gBj3VqY37R/UPT28sqzSjjKcSshpT2N92LxCQT0Ji7yT/jv6tzyYO3Vi1hPRyAsZ5XQh6SnI47ciy+ie+RzC/YdhthKPmxN/cd/6czH2z/xew9XlQThq7b2Nzz2jbD2oq+1rT3D2UNpkzScdehY8xMdDoJZsvDkLwpKGvCSL8cHX+76EXJ1AQYk06qRNeiY18fCJha+q16vu7iHUM1CHINZn2LnYCLsSNmc4abKVZk0unkxrJzbr3GzZ+9gzHoIw7Lfb7noiGm0Q2wdk5/s8hS4e1e59SWj0mXsNPXIk27VBe/WVo75W1/edUeYTQv2uH0zvR1jE5/Io+fdqb9mo/FPPZ9Miop7RWjDV3hxfdIznQwnKNBF3caj9u77oUX5HWxzik0HUwcCr6XVxz1SEjK7rFkEXPb1oGDrugqEeV9xu1AtWEkNuj9xG6XoJzHLvUfIZ3+uu9/X98t9N9yTqtzwZTL0gJsHoHsK4X8xi7hoIwr03LlRT5v/WgtVFp/qG7H3NQWK4Fk4eClovFvuP+3V9nt++dh6N+5v2AX3Wd3Zg7SH0/lwnCOrzhtY23PthX536nkF5+PwooDrDsJ5r9fk6n0S8XyelKv2r9Crxlp1hD+GU7r5N/0AQblO8W775i1/84nTiiSemyy67bHjxsccem84888z0xS9+cYs38BCieZ3HJxvPbpIQgk8H0OsmeYLYrbKGKPT3fE9hvO9/uxcwP6xVuJAnKChDWzn3SpO8vgOM4z4arOU9iPcUKqaVqTqMZhj2l0P3NnSCcG32EEZSGR8Y6wE8MxnsOywrikXwaXXP92aJS18oSL2Srcl33E9ePIV85vrkVePR3jofXONzP4OuXl3VAcWjVb1SMg208d9V8x/MgvCYDcdkr5uSvtQ7fiTq+sSSC7W4f19oZR02GfeJpCxRP4VYSlD2XVuHmeb2CGFlYad9gtTL478jYao9hAdtfF4WhPLyDQf/qpy+cjxq5663DsJI/fsh+CLRT4hfT1zQd8Cxn3GlNlKIaAndKdnl4lUSSIz2oXq4V+kTRdj5AoV7G9QH473wEEa4dCx++MJFKcMoI2L8PdW7UcK+6xVbX1mW5yPCQ2sveV3muH/tUfcFiKGXo9tjWO8vyXXu3vdkMvXCUil/ab3IUrp+49qJTSozW/Z+8a5nZ0HY9/KJVeFbbH6xV5vuJdc96jMLNaHzcwt1rdt39bd6pd8jTHz/ue5Rh555ohjZPfUP9YHYQ6h9VNHHtP/UPW1xbb2QJxvdt3jn/b72AI3qq1DIcsB9qfOmXjctyvQ9s1pU9Lr5M6/xJN7zjNuq++ouocxjXabRRU8fPrLTg9Ha99zpuZbNKfcbWT8fe7UgJfFY7+HzEFDvaxrLFIFS7/lzoaXv+eKXR1Z4Qpe+vfnirKQye3XnEMq+ePmH/Sr6RZ6HlPapxZ4vOPdxrkW2+ncdRhrv1wutKkN9nJWzK7Ok4lnWvd3uq2+5rY/r49iJ/+iyjMbZz/X99Hedi8Hbvk6Q4+LOWdX2Q/VUmH8u38Dz55EiwwX4zp4Pn5vq2Im+LPWjsneJ/AbeRnHJ7bfh3xNr76c01AT8gSDcgY20fv36tNtuu6XrrrsunXXWWcOSnHPOOenWW29NN9xwwxZL1ycIY/BXeGh56PP/7yZTuwxDiuLGvoo7XYhRpH+PvRvD1d2BEau/32csfe+IHvA6NMFDwbSSFIkpPKuiBtJ6P9IT3X4KhYy6CPTwOK2E+qquG5vpVnDrfVHxHU1YNGH3iX65Z1kV9VVP91rKsHqIjoSfzrbra3CfePhG/PvnP9zJwVWdh3DxUJy5R08hnLVQ7POeybvne/Q8/DIPvIMjL2rPocrsos3rUb+vcxTFo+/7vocx97XqyIt4b+n8O4bnELoXNZiHmMsLC4MMrR5q6xMyn1hoj4wz9tVsX+Eu/b8ciJwXNQZhZz6ZcA+xT/ZKXymiz+vuE0ZNdBTyWXuw4/0QhHEwfUwQ+pJXuGeuL1TU96FEWd0LLkbuoVAd+ryCmrxo0qH9f+XomQhhLyGI4dmJhR9NWuN7SjTltqBEL3THAHSTCw9fjPcnNcnAbNt7CUJPIlN7C2XrNA4oQqT2FLpN1MJeeT6LkPS+pD7r3g9f8Vc7qyzuAfTjivJv2gKjBKJ7h/0ooziOJARhTIpjYaD2ItXP9aico2fNbal/rufZ33PPoSei8bEmrtez5c+gZ40UO4Vw+/frvfVuA2rmIQgVMirbGXVWRmKV3b1hvuWiFsUqh0cHTCdy496yEb4Q2hcJUYtIjxrwhVO3faqP719zD2/U894FK3OW0RCEdditOIS99gUrt+81K7dL7tWtzwOs8xD0PWPOQX1JNt7nHnlR3hb9NBb4Ap4nMpJQj+uWd1m1XRBq8UFJvoaDif3DhV4pV8mK2yeE/XmWPXAPqNuS4lwowq8Wh32H0OtMQdmJKIfsu9sTX1TKWaU7/zsho30tu23eQxBuG64zuuvKlSvTwQcfnG688cZ06qmnDr9z4YUXpquvvjotW7Zsk/s8+eSTKf5PrzVr1uTQ0qN2+e8uxHDn4Wpw+AzCmISnUNlGNXGIQT7ez+FGg6Qzcb+Rd6+cg1OMR9mf9O/uf3FPGQD9vkJ31scq9GBFTiv8kfRll26yWnsBS8a4boVs4KnUAONGSgbSPQ8+gMT767oJQgjCo3JSmVGWURliiUHf9xdT57VdXTR4l2lwSfjhhqmenHtiDQ2sWk2N+8Vr17zZezTJrycOo/uPNt3HewrfjPJqP4a8fKOV7yjjKAwnvFLFQ/hQJwiPnhICKcGl8E8P4Yzf80EyhGiEOvoqalxTiyMXhPLQBbe4d4iveCm8U8ljSp8apVePv+V5i+9GHfxg+hBv4hEevzo7aH148d/n/70LGd03J5WpBYw/OLqP7invpvenzZ03mOs29BiGh2AUcipOo7Yt/nUlVVD7xXXqj4XDKFNt3wQm+p8f/itBJaEYz8ftWRCekHazcwi9fWPiUXsjPGNeZj14buJalVX9Q5Mu/Vf3coFQT7h8xdyv0yRKZxHG3091tieeEfcIhh3Ra6dBOKSuk4iMEKJl665Pq1evTgsXTg0f83Yft3/Ptr0PQRj2WxEf2kMY9fbJnUc2bI5JTBRHC1jFo1S/pzGhzkAd10Z7RfuFXfcJYy5PlZW0fk+/VU9U87M3mHjGZw/MW549hPXLhVX0wfjfUznj6si21eOLxomo007d0xbPWPTxMiEvKXn0PNXiJP6OZ0bfc+9XfKeO+PCxQIs7I9teIggUTaC6+XVRrjXd/sEn5j+WDnj6gGH1dU0tUlTvesFT5QzPf/xmXa7Sd6YuVnkCl/i8trV1GLoWzgqHUbZmT0pTC6habLqXU6Jo1YJV3R7CPdOeXZbRvgU1F8LOMP7t2VPrcihMv35OnJ3u5+JQ84q+oyR8QSDu7/3DPdLTPY8aN4uYLOPiPfPvTPtvPCxnci79JZK/FU9oXB/MnmNhx+qjvqjnUVEuDLNA6/4Xz0yfvfD+5V7BEedB8r1uwc89/6MQ8rJ8M9qTvKl3PT6PxUItJspJMan2frq2Hef3EYQ7sHU0QbjpppvSKaecMizJBRdckK655pq0dOnSTUp33nnnpfPPP38HlpqfhgAEILDjCaxYsSIdcsghO74gMywB9n6GoLgMAhCAQEVg0uz9JDYggnAHttqzCSGqPYSxSr5o0aK0fPnyiVotny3sETJ76KGHpjAWe+6552zddmLu03r9o6FaZ9Ba/Td24cOPPvpoOuigg9L8+fWO2fF9dLH3W982rfX1PmKtM6D+bc15JtXeb7212/53QBBuf+ZTfjGSDJx00kk5y6heixcvTmecccYzSioToaOtCqIIG6P+bba/BCF9oN1nYAeb8Gf089j7Z4Rrk4u1Z75Ve4+9KwuA2Hvs/dZZEr7dRwBBuIP7hdKQX3755Tls9Bvf+Ea68sor05IlS7Lnb0svjCODQ8uDIxMkJkhbspHj9Dn2futao/XxDnuHveMZ2DobwrenJ4AgHIPeEd7Biy66KB9Mf/zxx6dLLrkkvfSlL51RyVo3DtS/bUHMBIkJ0owM5RhdhL1/9o3Rur3H3mHveAaevf3gm5sngCCc8B4SewrjvMJzzz037bzz1PNpJrxqMyo+9W+7/aOT0AfoAzMyFnPgIvo6fZ0+0HYfaL3954AZH9sqIAjHtmkoGAQgAAEIQAACEIAABCAAgW1LAEG4bflydwhAAAIQgAAEIAABCEAAAmNLAEE4tk1DwSAAAQhAAAIQgAAEIAABCGxbAgjCbcuXu0MAAhCAAAQgAAEIQAACEBhbAgjCsW2aLRcsstVdfPHFOTvpcccdly699NJ0+umnb/mLY37Feeedl84///wppTzggAPSfffdl9+Lg0rj8zii45FHHklxttfXvva1zECv2Hj98Y9/PH3ve99La9euTa94xSvyWY+HHHLI2NX+97//fW7HP/3pT7ktf/SjH6UzzzxzWM7Zqm+w+tCHPpSuv/76fO/Xv/716Stf+Uraa6+9diiTLdX/7W9/e7r66qunlDHa/Oabb35G7T2u9Y+kUD/84Q/T0qVL06677ppOPfXU9KUvfSkdc8wxzfSBHdoBJ+THsfdzw95Hd9uSzcPmY/Pneh+YELPbVDERhBPa3DrPKiYJp512WrriiivSVVddlW6//fZ02GGHTWitSrFDEP7gBz9Iv/nNb4b1WLBgQdpvv/3y3zFZvuCCC9K3v/3tdPTRR6cvfOELeYBdtmxZeu5zn5uved/73pd++tOf5mv23Xff9LGPfSw9/PDDWXTFvcbp9ctf/jLdeOON6cQTT0xnn332JoJwtur72te+Nt1zzz1ZSMfrPe95Tzr88MMzpx352lL9QxDef//96Vvf+tawmDvttFPaZ599hn/PpL3Htf6vec1r0pvf/OZ08sknp6eeeip99rOfTbfddlt+lnffffdZ7fPjymBH9r9J+G3s/dyx99HftmTzsPnY/LneBybB7rZWRgThhLZ4eEhCQFx22WXDGhx77LHZsxQeh0l+hSD88Y9/nG699dZNqhGrZgcddFD68Ic/nD71qU/lz8MbGB7EMKDvfe9705o1a7J4vOaaa9Kb3vSmfM3KlSvToYcemn7xi1+kV7/61WOLZ968eVME4WzV94477kiLFy/OXrXoO/GKf59yyinZM+XeqB0Jp65/lCUE4erVq3Of6HvNpL0npf5Rv3/9619p//33TzfccEM+j7S1PrAj+9+4/jb2fm7a++hv2PypYx42H5s/rnZ4rpcLQTiBLbx+/fq02267peuuuy6dddZZwxqcc845WUTFRHKSXyEII4Ry4cKF+WzFmAxdeOGF6QUveEG688470xFHHJH+/Oc/pxe+8IXDap5xxhk59DFCC3/729/mENHwCO69997Da0444YQsmOtw1HFiVU8OZqu+3/zmN9NHP/rRLKz8FcwuueSS9I53vGMsMEwnCEMMhlcwyvuyl70se4hDNMVrJu09KfWP+vzjH/9IRx11VPYSHn/88bPW5yeJwVh0xjEpBPZ+7tr7PkGIzS+LgNj8re/32PwxMeITUgwE4YQ0lBczvF0HH3xwDjOM/UZ6hWgKQRShk5P8inCaJ554IoeDRqhghISGF2vJkiW5bhEie++992ZPoV4R/nj33XenX//61+m73/1uFjjhOfTXq171qvT85z8/h9eO66sWRDfddNOs1Df6RoTP/u1vf5tS9WAcrM4999yxQNInCCNcbo899kiLFi1Kd911V/rc5z6XQysj/DcWDGbS3pNS//AGxuJG7Hf8wx/+kNuktT4wFh1xjAqBvZ+79r5PELb2vGPzsfljZG6bLgqCcAKbXxOEGDgi5E+v8JpEmGSIp7n0evzxx7NX8JOf/GR6yUtekgVSMDjwwAOH1Xz3u9+dVqxYkX71q19NKxBe+cpX5vtcfvnlY4tnOkG4tfWdbrEgPFHvfOc706c//emxYNI3OagLFol3Qhx+//vfT294wxtm1N6TUv8PfOAD6ec//3n64x//OEyApAliK31gLDriGBUCez937f3mBGErzzs2H5s/Rua26aIgCCew+ed6CFFfk4SYO/LII9MnPvEJQkY7QM80RHZSQkdmMjmI/hFC9l3velfeRzpXQkY/+MEP5jCpSJAUnmy9Wgshm0CTvE2LjL3f+tC5bdpAW3lztglsuoewDyk2f+6O+1v5CPH1WSKAIJwlkNv7NrGv7qSTTspHKegVSUNCKEx6UpmaZYR+hmcvwkIjXDBCRT/ykY9kj2G8YsIU+8nqpDLf+c530hvf+MZ8TXiV4siJSU0qs7X1VVKVW265Jb3oRS/KTOLf4XEd96QydX946KGHcsh0ZEt961vfOkwitLn2Huf6R5hoiME4buR3v/tdFrv+UlKZVvrA9ralk/B72Pu5ae+j702XVKaV530mi4DY/Gc3zxnncW8S7G5rZUQQTmiLKw15hD9G2GhMjq+88sq8zy7C6Sb5FecHvu51r8vHZzzwwAN5D2EkyokkG1G3EH4heuMYgpg8RzhgTKTrYyd+9rOf5X1zcTxB3DMGlXE8duKxxx7LiUTiFYlyvvzlL6eXv/zludzBYLbqG0cORBiS9lCGwA6eO/rYic3VPxhEkqE4jiNChP/5z3+mz3zmM2n58uUpBjs/ZmRL7T2u9X//+9+fw15/8pOfTMn2GkmV4lzCeM31PjDJ9mp7lB17P3fsffQXbP70Yx42H5u/PWwqv7EpAQThBPeK8A5edNFF2fsV2QgjW2SkqZ/0V5zJFmFzDz74YD4+IrxYn//85/OxCfHSga0hbPxg+mCg17p163J4aUy0/WD6OHpi3F4hZkMA1q+3ve1tWdDOVn0j62p9MP1Xv/rVHX4w/ebqH8eqRGbYv/zlLzlDaojCYBX9wdtyJu09rvWPFfK+Vyx4RLa92ezz48pg3J7JcSwP9n5u2PvoW9j86cc8bD42fxztbwtlQhC20MrUEQIQgAAEIAABCEAAAhCAQA8BBCHdAgIQgAAEIAABCEAAAhCAQKMEEISNNjzVhgAEIAABCEAAAhCAAAQggCCkD0AAAhCAAAQgAAEIQAACEGiUAIKw0Yan2hCAAAQgAAEIQAACEIAABBCE9AEIQAACEIAABCAAAQhAAAKNEkAQNtrwVBsCEIAABCAAAQhAAAIQgACCkD4AAQhAAAIQgAAEIAABCECgUQIIwkYbnmpDAAIQgAAEIAABCEAAAhBAENIHIAABCEAAAhCAAAQgAAEINEoAQdhow1NtCEAAAhCAAAQgAAEIQAACCEL6AAQgAAEIQAACEIAABCAAgUYJIAgbbXiqDQEIQAACEIAABCAAAQhAAEFIH4AABCAAAQhAAAIQgAAEINAoAQRhow1PtSEAAQhAAAIQgAAEIAABCCAI6QMQgAAEIAABCEAAAhCAAAQaJYAgbLThqTYEIAABCEAAAhCAAAQgAAEEIX0AAhCAAAQgAAEIQAACEIBAowQQhI02PNWGAAQgAAEIQAACEIAABCCAIKQPQAACEIAABCAAAQhAAAIQaJQAgrDRhqfaEIAABCAAAQhAAAIQgAAEEIT0AQhAAAIQgAAEIAABCEAAAo0SQBA22vBUGwIQgAAEIAABCEAAAhCAAIKQPgABCEAAAhCAAAQgAAEIQKBRAgjCRhueakMAAhCAAAQgAAEIQAACEEAQ0gcgAAEIQAACEIAABCAAAQg0SgBB2GjDU20IQAACEIAABCAAAQhAAAIIQvoABCAAAQhAAAIQgAAEIACBRgkgCBtteKoNAQhAAAIQgAAEIAABCEAAQUgfgAAEIAABCEAAAhCAAAQg0CgBBGGjDU+1IQABCEAAAhCAAAQgAAEIIAjpAxCAAAQgAAEIQAACEIAABBolgCBstOGpNgQgAAEIQAACEIAABCAAAQQhfQACEIAABCAAAQhAAAIQgECjBBCEjTY81YYABCAAAQhAAAIQgAAEIIAgpA9AAAIQgAAEIAABCEAAAhBolACCsNGGp9oQgAAEIAABCEAAAhCAAAQQhPQBCEAAAhCAAAQgAAEIQAACjRJAEDba8FQbAhCAAAQgAAEIQAACEIAAgpA+AAEIQAACEIAABCAAAQhAoFECCMJGG55qQwACEIAABCAAAQhAAAIQQBDSByAAAQhAAAIQgAAEIAABCDRKAEHYaMNTbQhAAAIQgAAEIAABCEAAAghC+gAEIAABCEAAAhCAAAQgAIFGCSAIG214qg0BCEAAAhCAAAQgAAEIQABBSB+AAAQgAAEIQAACEIAABCDQKAEEYaMNT7UhAAEIQAACEIAABCAAAQggCOkDEIAABCAAAQhAAAIQgAAEGiWAIGy04ak2BCAAAQhAAAIQgAAEIAABBCF9AAIQgAAEIAABCEAAAhCAQKMEEISNNjzVhgAEIAABCEAAAhCAAAQggCCkD/Q4crUAAAVBSURBVEAAAhCAAAQgAAEIQAACEGiUAIKw0Yan2hCAAAQgAAEIQAACEIAABBCE9AEIQAACEIAABCAAAQhAAAKNEkAQNtrwVBsCEIAABCAAAQhAAAIQgACCkD4AAQhAAAIQgAAEIAABCECgUQIIwkYbnmpDAAIQgAAEIAABCEAAAhBAENIHIAABCEAAAhCAAAQgAAEINEoAQdhow1NtCEAAAhCAAAQgAAEIQAACCEL6AAQgAAEIQAACEIAABCAAgUYJIAgbbXiqDQEIQAACEIAABCAAAQhAAEFIH4AABCAAAQhAAAIQgAAEINAoAQRhow1PtSEAAQhAAAIQgAAEIAABCCAI6QMQgAAEIAABCEAAAhCAAAQaJYAgbLThqTYEIAABCEAAAhCAAAQgAAEEIX0AAhCAAAQgAAEIQAACEIBAowQQhI02PNWGAAQgAAEIQAACEIAABCCAIKQPQAACEIAABCAAAQhAAAIQaJQAgrDRhqfaEIAABCAAAQhAAAIQgAAEEIT0AQhAAAIQgAAEIAABCEAAAo0SQBA22vBUGwIQgAAEIAABCEAAAhCAAIKQPgABCEAAAhCAAAQgAAEIQKBRAgjCRhueakMAAhCAAAQgAAEIQAACEEAQ0gcgAAEIQAACEIAABCAAAQg0SgBB2GjDU20IQAACEIAABCAAAQhAAAIIQvoABCAAAQhAAAIQgAAEIACBRgkgCBtteKoNAQhAAAIQgAAEIAABCEAAQUgfgAAEIAABCEAAAhCAAAQg0CgBBGGjDU+1IQABCEAAAhCAAAQgAAEIIAjpAxCAAAQgAAEIQAACEIAABBolgCBstOGpNgQgAAEIQAACEIAABCAAAQQhfQACEIAABCAAAQhAAAIQgECjBBCEjTY81YYABCAAAQhAAAIQgAAEIIAgpA9AAAIQgAAEIAABCEAAAhBolACCsNGGp9oQgAAEIAABCEAAAhCAAAQQhPQBCEAAAhCAAAQgAAEIQAACjRJAEDba8FQbAhCAAAQgAAEIQAACEIAAgpA+AAEIQAACEIAABCAAAQhAoFECCMJGG55qQwACEIAABCAAAQhAAAIQQBDSByAAAQhAAAIQgAAEIAABCDRKAEHYaMNTbQhAAAIQgAAEIAABCEAAAghC+gAEIAABCEAAAhCAAAQgAIFGCSAIG214qg0BCEAAAhCAAAQgAAEIQABBSB+AAAQgAAEIQAACEIAABCDQKAEEYaMNT7UhAAEIQAACEIAABCAAAQggCOkDEIAABCAAAQhAAAIQgAAEGiWAIGy04ak2BCAAAQhAAAIQgAAEIAABBCF9AAIQgAAEIAABCEAAAhCAQKMEEISNNjzVhgAEIAABCEAAAhCAAAQggCCkD0AAAhCAAAQgAAEIQAACEGiUAIKw0Yan2hCAAAQgAAEIQAACEIAABBCE9AEIQAACEIAABCAAAQhAAAKNEkAQNtrwVBsCEIAABCAAAQhAAAIQgACCkD4AAQhAAAIQgAAEIAABCECgUQIIwkYbnmpDAAIQgAAEIAABCEAAAhBAENIHIAABCEAAAhCAAAQgAAEINEoAQdhow1NtCEAAAhCAAAQgAAEIQAACCEL6AAQgAAEIQAACEIAABCAAgUYJIAgbbXiqDQEIQAACEIAABCAAAQhAAEFIH4AABCAAAQhAAAIQgAAEINAoAQRhow1PtSEAAQhAAAIQgAAEIAABCCAI6QMQgAAEIAABCEAAAhCAAAQaJYAgbLThqTYEIAABCEAAAhCAAAQgAAEEIX0AAhCAAAQgAAEIQAACEIBAowT+HxKWk27uIR/kAAAAAElFTkSuQmCC\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = subplots(1, 2, figsize=(9,6))\n",
    "jupyter.display(img, label=\"Original\", ax=ax[0])\n",
    "jupyter.display(restored, label=\"Restored\", ax=ax[1])\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The compression ratio would be : 160.968x\n"
     ]
    }
   ],
   "source": [
    "raw_size = img.nbytes\n",
    "cmp_size = sep.index.nbytes + sep.intensity.nbytes + sep.background_avg.nbytes + sep.background_std.nbytes\n",
    "print(f\"The compression ratio would be : {raw_size/cmp_size:.3f}x\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Conclusion\n",
    "\n",
    "This tutorial explains how single crystal diffraction images can be treated to separate the amorphous content from Bragg peaks.\n",
    "The first method has extensively been described in `J Kieffer & J.P. Wright; Powder Diffraction (2013) 28 (S2), pp339-350`\n",
    "Subsequent ones have been developed with Gavin Vaughan (ESRF ID15) and Daniele De Sanctis (ESRF ID29).\n",
    "Those methods open the door to lossy compression in the world of single crystal diffraction with compression rates above 100x which makes them appealing for serial-crystallography applications where bandwidth is critical. \n",
    "First experimentation shows a limited degradation of "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 9.682s \n"
     ]
    }
   ],
   "source": [
    "print(f\"Total execution time: {time.perf_counter()-start_time:.3f}s \")"
   ]
  }
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