{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Distortion of Eiger2 CdTe detector from ID11\n",
    "\n",
    "The detector's distortion is characterized by a Tungsten plate with a grid pattern of holes provided by Gavin Vaughan. The calibration experiment has been performed by Marie Ruat with a conventional source.\n",
    "Those files are not available for share, please get in contact with Marie for the experimental details.\n",
    "\n",
    "## Preprocessing\n",
    "\n",
    "Data were acquired with and without the grid on from of the detector. 100 frames were recorded in each case withthe same exposure time. \n",
    "The first step is to filter out outliers using a pixel-wise median filter on the stack.\n",
    "\n",
    "*Note:* a faily recent version of FabIO is needed to read those HDF5 files produced by LImA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib nbagg\n",
    "import time\n",
    "start_time = time.perf_counter()\n",
    "#load many libraries ...\n",
    "from matplotlib.pyplot import subplots\n",
    "import matplotlib.colors as colors\n",
    "import numpy\n",
    "import pyFAI\n",
    "from collections import namedtuple\n",
    "from scipy.ndimage import convolve, binary_dilation, label, distance_transform_edt\n",
    "from scipy.spatial import distance_matrix\n",
    "from pyFAI.ext.watershed import InverseWatershed\n",
    "from pyFAI.ext.bilinear import Bilinear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Median reduction finished                                                                                      \n",
      "Median reduction finished                                                                                        \n"
     ]
    }
   ],
   "source": [
    "!pyFAI-average -m median W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5 -F numpy -o flat.npy\n",
    "!pyFAI-average -m median W200um_40kVp_5mA_T4_E8_GRID_noretrigger_0000.h5 -F numpy -o grid.npy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using pyFAI verison:  0.20.0-beta1\n"
     ]
    }
   ],
   "source": [
    "# A couple of constants and compound dtypes ...\n",
    "dt = numpy.dtype([('y', numpy.float64),\n",
    "                  ('x', numpy.float64),\n",
    "                  ('i', numpy.int64),\n",
    "                 ])\n",
    "Alignment = namedtuple(\"Alignment\", \"points RMSD rotation center_ref center_set matrix\")\n",
    "mpl = {\"origin\":\"lower\", \n",
    "       \"cmap\":\"viridis\", \n",
    "       \"interpolation\":\"nearest\"}\n",
    "print(\"Using pyFAI verison: \", pyFAI.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* 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",
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       "\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",
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       "\n",
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       "        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",
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       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
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       "    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",
       "    var resizeObserver = new 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",
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       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
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       "                    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",
       "    resizeObserver.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",
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       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
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       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
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       "            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",
       "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.one(\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",
       "\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",
       "    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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flat = numpy.load(\"flat.npy\")\n",
    "grid = numpy.load(\"grid.npy\")\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "\n",
    "ax.imshow(grid/flat, **mpl)\n",
    "ax.set_title(\"Raw grid (normalized)\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define the right mask\n",
    "\n",
    "As we want to measure the position of the grid with a sub-pixel precision, it is of crutial important to discard all pixels wich have been interpolated.\n",
    "\n",
    "The Eiger2 4M is built of 8 modules 500 kpixels, each of them consists of the assemble of 8 chips of 256x256 pixel each. Some pixels are systematically masked out as they are known to be noisy. Some pixels are also missing at the junction of the sub-modules. Finally the CdTe sensors is made of single crystals of the semi-conductor which cover 512x512 pixels. Hence one sensor covers half a module or 4 chips.\n",
    "\n",
    "This is best demonstrated by the pixel-wise standard deviation along a stack of images like the one acquired for the flatfield.\n",
    "\n",
    "A Poissonian detector should have a variance equal to the average signal. Thus plotting the standard deviation squared over the median highlights:\n",
    " * Noisy pixels which should be discarded for quantitative analysis std²>>median\n",
    " * Interpolated pixels which have only half/quater of the expected noise (std²<<median).\n",
    " \n",
    "The detector has also an internal map of invalid pixel which are set to the maximum value of the range."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Std reduction finished                                                                                         \n"
     ]
    }
   ],
   "source": [
    "!pyFAI-average -m std W200um_40kVp_5mA_T4_E8_FF_noretrigger_0000.h5 -F numpy -o flat_std.npy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "std = numpy.load(\"flat_std.npy\")\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow((std**2/flat).clip(0,2), **mpl)\n",
    "ax.set_title(\"Poissonianness map of the detctor (should be 1)\")\n",
    "pass"
   ]
  },
  {
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "ax.hist((std**2/flat).ravel(), 100, range=(0,2))\n",
    "ax.set_title(\"Histogram of std²/median values\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This test of Poissonian-ness is not enough to discriminate between interpolated pixels and non interpolated ones.\n",
    "One needs to build the mask by other methods."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This is the default detector as definied in pyFAI according to the specification provided by Dectris:\n",
    "eiger2 = pyFAI.detector_factory(\"Eiger2CdTe_4M\")\n",
    "width = eiger2.shape[1]\n",
    "module_size = eiger2.MODULE_SIZE\n",
    "module_gap = eiger2.MODULE_GAP\n",
    "submodule_size = (256,256)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculate the default mask\n",
    "mask = eiger2.calc_mask()\n",
    "# Mask out the interpolated pixels along X\n",
    "for j in [256, 772]:\n",
    "    for i in range(j, eiger2.max_shape[1],\n",
    "                   eiger2.module_size[1] + eiger2.MODULE_GAP[1]):\n",
    "        mask[:,i-2:i + 2] = 1\n",
    "# Mask out the interpolated pixels along Y\n",
    "for i in range(256, eiger2.max_shape[0],\n",
    "               eiger2.module_size[0] + eiger2.MODULE_GAP[0]):\n",
    "    mask[i-2:i + 2, :] = 1\n",
    "\n",
    "# Finally mask out invalid/miss-behaving pixels known from the detector\n",
    "mask[ flat>(flat.max()*0.99) ] = 1"
   ]
  },
  {
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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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QafToaen57x99Je//AWDBw/u1R/C0/Xzn/9cvnfq1Cn4fD44HA5cdtllvdpzyy239GnPhSggLS0tGDBgAP70pz/16dv09HSkpqYCAE6cOIHhw4fDbrdjy5Yt5/XEfZb4+PizGgHEmvPUU0/1el94OM9U0ACgsLAQV199da/3jh49ivz8fFx55ZV9DCbCI/HOO+9g0KBBSE1Nxd13390nXAqI9GFhYSGuv/565OXl9anU90X7SqxRDz30UJ/fMRgMZ1VADh48CJ1Ohx/+8Idn6UGGYS4UVkAY5lvO15EDcurUKSiKArfbjQEDBuDSSy/F2LFje13zXAqIx+OBTqc7azx5fn4+rFYrAODee++FTqfDyy+/3OdzaWlpZ1VA9u/f3+eziqJAp9OhvLwchw8fxmuvvYbjx4/jlltu6XWf50pOPZdi8Hn9CAAvvfQSdDod7r333j5/E/0gqgV9GQXkww8/RFtbG+x2O3Q6HYYMGYLbbrsNv/71r+VnzqWAFBcX49JLL+3z/j//+c8vpYAEAgFcd911vTwDX7UPvV7veT1zAwcOBBDp1z179vRpV0FBwecqIF91TJztmudi1qxZGDFihOynlJQUKcAKKisrMXDgQDQ1NeHIkSN4/fXXcfz4ccTHx/ca519FASkpKTlv35rNZvnZn/3sZygoKMDw4cOh0+lw4403oq2trU9exmex2Wy4+eab+7x/rrki2nhm2KW4p2HDhsl/v/7667jkkkuQn5+Pffv24ZVXXsHx48fR0tLSZ4158cUXMWXKFAwbNkzel8hNO7MPr7nmGuh0Otx333192vtF++rLrFECoYyLXBOGYb4eWAFhmG85X/c5IB988AEefPBBREVF4aqrrpIW/Qv1gKSnpwM4vwfks9bF8wnvbrcbY8aM6fN+VlbWN66AfFMekDP54x//iF27duH666+H3W6X73/THpDU1FSUlpae9RoX2odbt26VFuWzeefE576qB+SrjomzXfNciHH85JNP4he/+AV0Oh22bNnS6zPDhw/HokWL+nx3xIgRn6uAlJWV4YYbbujz3c8+/8bGRgwYMAAvv/zyWfv1swnvACVYv/nmmzJUrru7+7z3mpmZieTk5D7vf1UFpLq6GkOGDME///nPXp87mwIi+OSTT/Daa69h3rx50Oki4XKiDwOBAEpLS3HJJZfgnnvu6fXdL9pXF+IB2bt3L3Q63ecWMWAY5svBCgjDfMv5pg4iFHH+ImRDxL9/NnH1rbfegk6nw8qVK3u9L+LqW1paAETCV0Tcv+B8OSBnE94TExMxYcKEXu/99Kc/xcCBA79xBeT06dMYMWIEEhISeuUqfPjhh7juuut6JShfqAIiEEKiUGhqamqg0+n6hGd90RyQ8/GHP/wBAwYM6BNS81X78N1338Wll16KQCBw3t8/ffo0brzxRiQlJV1QDshXHRNnu+a5+OSTTzBixAjMnj0bdXV1GDJkSJ/k9auuuqrPwX2HDx/uM87PpoB0d3dj4MCBvRKjP/roI1it1l4KyFct8/yDH/wAs2bNOu9nlixZgquuuqrP+19VAampqcEVV1zRywPzj3/8A3q9/pwKiODEiRPQ6XRYvXo1gL7PtKamBgMGDMDmzZvld75oX/31r3/90jkgPp8PAwcOxF//+tfzXpthmC8HKyAM8y3n61BApkyZgsbGRlm1Z/fu3TAajTAYDFJIEEJnWVkZXn31VRw/fhz/7//9PwBUBWvAgAGoqqrCU089hW3btuG6667DqFGjelnmRYx4WVkZjhw5gp07d2LUqFG48cYbkZeXJz93PuG9ra0NAwYMQFtbG44ePYrNmzfjhhtugMVi+cYVECBSBWvSpEk4ePAg9u/fj5SUlF5VsD7vHj5Lamoqurq6cODAAbzwwgvYunUrrr76amRkZPRpX3t7uwwx+uijj3D69Gnk5uZi8ODB8Pv9562CdS7Wrl2L4cOH9wnJ+Tr60O/349JLL0VZWRkeffRRPP/889i3bx9qa2t7JcHv3LkTOh1VwRLVtr5oFayvOibOds3z0dTUhMGDB+Paa6/F3Llz+/x9wYIFGDx4MNauXYujR48iGAzi2muvxciRIz9XAfnd736Hyy67DGPGjMHjjz+Ohx9+GKNHj4bJZOrjASstLcXll1+O1atX49ChQ3j22Wdx3333oaKiQgrghw4dwsSJE7Ft2zY888wzePrpp1FeXg6dToft27ef9z53794Nna5vTsdXVUCOHj0KnU6HmTNn4umnn8bevXuRlJSEqKioXgrIli1bMGvWLNx999149tln8cQTT8hqcEJZPtszFe0401P5RfoKANasWQOdjqpgiUp956uCNXXq1PMm2DMMc2GwAsIw33K+DgVEURRkZmbimmuuwaBBg6DX61FcXNyrkgxAgtdNN92EgQMHQqfrew6IzWbDZZddhmuuuQbz588/6zkgXq8XI0eOxKBBgxAXF4fDhw8jPj6+l9XxfML7Rx99hLq6OowYMQJDhgxBYmIiDhw40Cd2/ptSQAA6HTotLQ1DhgzBsGHDkJ+f3+cwsi+jgDQ2NiI5ORnDhw/H4MGDYTabUV1d3Ut5++ijj1BSUoJrr70WAwYM6CWonThxAkuWLMEPfvADXH755Rg/frz0TH0RoTo7O/usHrGvqw8PHDiAvLw8XHnllRg8eDAMBgNmzpzZJ3F3586diIqKwqBBg2Cz2XDXXXd9oXNAvuqYONs1z8evf/1rmT/wzDPP9Pn7Bx98gOLiYlx33XW4/PLLkZ2djZdeeqnPWRJnU0AACgVKSEjA0KFDYTabsXHjxrOW4QWAu+66C2lpaRg2bBiGDh0Ki8WCBQsWyBK0b731FgoLC2GxWDB06FB8//vfl0ndn8fJkydxxRVX9Ak5/KoKiGi33W6X4727uxt33nlnr3F97NgxTJ8+HQaDAYMHD8bVV1+N0aNH47HHHuvTh599piJk9Ewl9/P6CqA1qru7G6NGjZJr1KFDh856Dsjf/vY3XH755X2qazEM89VhBYRhmG+U3/3udxg0aBB8Pt/Fbsq/Je+//z4GDhzYS6hjGMGKFSvgcDj4nIuzsHPnTgwbNozDrxjmG4AVEIZhvjbefPNNNDQ04ODBg3juueewdetWmM1mXHPNNb1i3hmG+Xbwxz/+EVdeeeUF5zJ9Vzl16hSioqLg9XovdlMY5jsJKyAMw3xt/OY3v0F+fj6uueYaXHrppbj66qsxY8aMXqdDMwzz7eLQoUPYvXv3xW7Gt4rf/e536Ozs7FPJi2GYrwdWQBiGYRiGYRiG6TdYAWEYhmEYhmEYpt9gBYRhGIZhGIZhmH6DFRCGYRiGYRiGYfoNVkC+I5w+fRrvvfceTpw4gZMnT/KLX/ziF7/4xS9+8escrxMnTuC9997D6dOnL7YI928JKyDfEd577z15cBa/+MUvfvGLX/ziF78+//XZA3WZ/oEVkO8IJ06cgE6ng2t2K4ydPjgq/DB2+TAq5EHalC5YmvyIKfXD1OFD9Ao/4ot8SL3Vg6RZXuh7vMjNboW13o/oFX44KvwwtftgX+lH0kwvXMU+xJT68cGvzYhd4oNjuR+Js72IXuGHeY0P1gY/7Cv9iKr1w9TpQ0yZH8ZOH7LyOzA2rgHmFh/SJ3Zh5Nou2Ff5MSroQUyZH2lTumCt9yNhng+uEh9iltL3jF0+WJr8iNrTiKy8dsQu9sHc4sOoIN1L0iwv7FV+jAp5YGnyQ7+9FYmzvbCv8iOqzg9Lox/uOT6MXN8Je5Uf1no/rKv90uphbvPBWebHyI0dWPBcAWw1flh2NyG60g+Dz4uoWj9s1X7kHlqGhLk+uOf4kDDPh5TbPDCv8SEvsRHWBuonZzndd0yZHyPXdcGx3A+D1wd9jxeOZdTfBq8Ptho/YpZS+5zlfiRP98Dc7IfR44P5niaYm/1ImOtDyjQPoivpmlG1fmz8SSqiav3ImNCJ5Nu9SCzw0v0V+mCrpvs0t9L9jAp5YPB5oQ/Qb8cs9cNWQ/3rnuPDyE0d0Pd4EbPUj5GbOmBp8mNUwCv/f6TaBfPdzTh58iRMnT6Y23xImuHFqG1tcJb5YW3wIyuvHXGLfIhb5IO+2wtXCT3/UdvbEF/kw8i1XYhe4UfSDC8MPi9iF9NnbTX0XLJHt8Pc5kPa5C7EP1gLV4kPmeM6YV3tR9xC+mxWfgesDdRX9lX0bGKW+pF5cAVcxTSm9d1eJMyjcTJySzusq/1wltF4zH+8DKlTPRgV8sDY6UPcQhqz+h4vTO0+WHY3IeNAJWIX01yIW0T9bm7zwbyG3rPWUx8lzfYiupKeU9xCH6Jq/Ri1tR3OchpPMaX0nOIW0PcMXh8ybu6U1zbsbIWtmp65fRX9VupUDxJnR/pm0pFi+H40BnGL6PqO5X7ou72IqvMj5TYP3HN8MHX4ED/fh7IXZyB+Ps0x8VxSbqP7NHX44C6kz2Xld8CyuwmJs70YFfRg5g8X0NytoLmfWOCFrYbaZG6mvouq9SN+vk+Og5TbPBi5rgv6bi8ce+thr6JnMirgxch1XbBX0f2OCnswSvEgscAL8xpaV4weH0Zuae9jcTS3+ZA42wv99lZkjuuAuZnGRfQKGqeJD1XLeaLv8cJZRmM9abYXuRlrEL2C5lnSDC/yo2sRt8gHVzGN79glPoza2g5XsQ+xi6k/YhfTOha7hMZm6lQP9D1exC3yyWvbqmnsxSylOWSr8SO6kp6ZqYPux9ROa1TCPLpm7BIfske3w1pPz8vYSc/b3Erz3bHMj5zcNiTN9iJ+Pj3XhHk+OU5HBT00R0tpbOXktCFmKY0pexXNn/giH5zldL9RtTS24xb4MHJzB2JKac1JmEfPOn4+Pdu0yV1Ink7XTpztlWPTXeiT68ooxYO0yV1wF9LcSyygNSGxgNYXYyf1TVY+/Y7oL3ML3XP8fB/sVfT7qbfSGHFUaPNgkQ+WRrpHo4fmgnW1H64Smlv6Ha1yvYxb4KPxpHgwamu7/I2YpX7EPLAapg4fzM3a52qpT9yF1AcnT55EfJEP+oCXxtqGTqTe6oHhzjUwN9N4iqrT9qOlfqx+dRIcy/0Yc6gCWfkdMPi9iFvog/nuZliaaB4YPTRWHMvp+0tfmEnvrYqs9dGVfoxJaUbx87OROtUDZ5mfxsNiGl/i3qIr6fcNfi/Sb+lCfBHdW8bNndB3e2Hq8CFhrg+jtrchak8jPbMKP5Jv9yJplhfOcpqXpnYfkmZ6MXJLO0ydPjj21iNplrZ2LKRx7yqma7tK6LO2Gj/MLT455xILvEiYS8/M0kh7tamdxqitxo+Rd3Qic1wnjB4aQ/YqP0au74Slie47egXde+Jsr5QfzC0+jFzXhQ9+bcYoxQNbNfVb8nQP4ot8GJ3WgrzERrm2x5T6kT6xC+Zm6uukGV5k3NxJY2YhjU+jh56HYxn1qXkN7blinYyqpetn3NxJ8kCI/j9hLs37qFra8xwVtEaZ2ukaCfNoTMY/WCv39qSZXphbfBjR1QKdTocTJ05cbBHu3xJWQL4jnDx5EjqdjhbK1SpSisJImR+GYWMI6U/Vw+pVEF+hILpZhWFjCDmTAjCpYdg6VRg2hOGqVmH1KbD0KEgpCsPRqCK6RUXcCno/dqWKtDlhWP0KzCEF9jUqoptVGNeGkbRIgbNBxTt/uAExdSosPQqSFilIXkifS1pMv2tfoyJjVgiORhX2hztQ8OpSuEsUxC9TkDI/jOQFCvR39iB2lQpHo4rM20OIr1AwJr8bztUqYleqsLXTK65Sxejx3bAEFCQtVmDYEIY5pMDWocLqV+BoVBHVpcKkhGEJKDDcEZJ9ZQorcK5WkT01iPhl1M7UeWFEN6uIqVVh6aY2mcJ0PZNC/eEuVWBSw4huoTbE1KnImRKAYWMIjkfbYemhfopuUeGqpr8nlCmIXaXCuD4M49ownKtVmNQwLD0K7G0qkhYpiFtO/Ry3gj7vqlJx+n0rYupU2NtUjHu2CkmLqE+zpgdh2BzCgtcXI312CCYljAU5/mQAACAASURBVDHjuuEuUWDrpN+MW06vxGIFcStU6LcEYQkoWPT6IrhLFUx+cQVsHfR+VBe11RxS4KynZwoAcctVuJcqsLeqMGwOIaqLrh1TR/2RUKbAvZTGi2FzCJNfXIHYVdTncctVJJQrMAcU6LcEYW9VkXC4GYZNIei3BWHZ1wVLgPo4dS6NQf3WIBLKaIzmZ3lg61CRNY3ei6ukfnBVqXDWq3J8Ji5RkHl7CIZ7upEzJSB/K76Cxp0lQP81bA4hbrmK+GV0j856Gj85z9TBvob63XifDzlTAkhaTP1secADW7uKKI8Cw8YQbB30/ZxJAVh6FLhqqJ+ybw0i8/aQfFauKhWGO0KIX6bIcRy/TEFCuYLoFhXmvV64alS4alQ4V6vQ7wwgdW4Y+m1B6LcFqS3rwkgrDMPSTWMhsZjaHfVgJ6KbVSQvVGi++hXotwcQ1aUidR5dI8qjwLjHh+SFCqK66Pf1W4LQ392NpMUKrD7qc3sb3VtMHY3BqC66niWg0BwP0Jy1+mhuxdTSuDbs9sNZT/dqXBuGYbcfMXWqXF9s7Sqq3pgNext997OMye+G7aFO2Nrp95wNWh/MCyN5oQLj2jAybw/B0k3t0N/Vg7TCMAwb6P24FTQGDXeEkDMlgLTCMLVnjYrUufSZ+GX03dhV9F5Ul4rMGSEklCtwl9KzMIdoLsVVqjDd70NUlyr7Z/SEHsQvo/lk9VI/OOvpmVl9tLbodwSg3xZE9tQgLD00RpMXKMiaFkRMLT1bR6MKd4kC/bYgUp5sRFwlPcv02TQe3aV0v5VvzJFjEgBOv2+FYUMYtg6aTzG1KmJXqRg9oQfmIK0bKfPDyJ0YoDUpTOubpVuB/eEOmpcBrS9n0NhMfLwZtg7qO+P6MExhWnNzJgeg39UDc4Dms2FTiNbqNrofw0bqZ+P6sJzbVr+2Xj7SLtuTOjeMKA+1JXkhzQ+TEkZiMc3BuEoV6QW0xiYuUeQ4j/LQGHcvpd/PmRKQ63ziElqn7WtUxB9qQXpBGKfftyK+gsaVs16FvZXWLGcDzffciQE4V9N7rhra68xBmtPxy6jdtnbqA3NAke0ybKJnor+zB0mLFeh39cC5mp67SQkj4XAz9DsCiG6me0koozEm5qKritadmDraJ8Xcc9bTb6XMpzXT0UjzbfKLK2DY7YelR0HmjBBcNbQG2tpV6LcFcXPsGiSU01iNXaXKdd+4Loy4Stqzjetp7CcW076TMZPuNbFYQdqcsJxzxrVhZMyi8ZE6l8ZV+lP1NL+20rrjrKexmlBO/eSqor4Ve4ylm65rUsNwl9AYjq9Q4C6h/dnWSXtIekEYqfNInkhaTP2TuESBfmcACWX0PMeM60Z+pod+t4H6K6GMftvSQ+ukvY32YXcprfEp88M0ZtbS9U17vYirpPFob6V5ettLFUiZH4arRpVzNnkhrUvZtwaRUhRG1rQgDBvCJJO0qIhZ6odOp8PJkye/MdmMOTesgHxHEAqIa18djGtJYMiYFSKh6GCrFMxNCgm/+rt6oN8RoIW7m4T4lKIwcp6pg35XDxyNaq9FyL6GNtWU+TT5kxcqMK4n4d7RSMpBYjFtRq5qFfrtARj3+GDrpM0za1pQChsp88PI/WEtTCq10+qlhdtdQotF4hLa9IXA6y7RhN1u2sz1W4N48V2zFJzjlqso+/F8KeSnzw7BvVRB1Ruzob+7G4Y7QkhaHBGGhPBrXBuGfntACg1Ji0kQc9bTYh7dTApG2pywFMKdDSpMYfpu4hL6vL2V+tC4Lgx7K/VRzMFWGNeHEbtSle0W/R/dTJuQvVWVv2u4I0QbboMKc0BBxixa4A0bSWFzHWxF2hxtI9D6x9lAG6azgfrI0qPAdL+PFKwGem76XT3QbwsieQE9J/dS2jRyJgdgecCD6BYSkA33dCOxmDZDADBsCmF8aif0d3fLhT+hjATMuBWqVPpyJgXgaKRN2llPY8S4PiyVXXOINhFXNQkpCWWk1EU307hIKyTFM7pZha2DNp6EcgUxtZHftOzrQkwdbSbmII07/ZYgDBtDGJvrg7uUxk/O5AByJtNGZ/UqUjhOKQpj9PhuGDaFSOjfFoSjiQQJofxa93fB1k7tSiwmQci+RkXqkQbE1NLn4io1ZXwVPXMActNMLyDBxtlAgnp0M72yppNQkTUtiLQ51C9mbfzZW2meJJQr2PSr0UheQG1Jm0OCo1QANoaQl+eHSQnD9lCn3FRFX4/N8ZIQV0KClu2hTiQviAhvVj+1b/rL5STYe0l4iq8gQTGqi4wGjkZ6Jq4qVQqTprCCcWmdiKlTkTfWj6guUmhi6lTYHuqEq4a+G91M/WoJUH9YvSQEfxarn4QlRyONIUsPjcW4ShXmIM0P4/owzEFqf0wdCZHps2k8xtSSMuusV+WaYOuIrD1CyHTV0H1kTw0ioZwEqqiuiPCYMp+EpLgV9J2YOmrPmQKYeykpKtEttCaYg6RQW73a2rIjgNyJAWrjJlJwEpfQNYRwabiD1uD0AlpDMmaG4GiiOe6qUWG41w97q4rKN+Yg+pF2AIB+axBphWG4S+lehIKYOi8s+yJ9dghZ0+k5RDeTMSYvz0/rqS+yjrqqNWW3XpVKbWKxAkcTjdPkBaTERjfTMxHKuquK1j5bJ40fWzut8XEr6HuzXi1F5u0hOBuoXaYw9VvWtCDcJTS+LN2K3F9yptBeE1OrYuwYHxLKac+xr6HfysvzI36ZgoyZIcSupLmcvJDWTcOGMPR3dyN5ASmFyQtpXFm9JFCb93qRtIielTlIwrFYt5IX0L3qtwWROSNERok2GleumshcT58dgkkNkzFgKwnkrmpShNKfqkfMwVYy6hWF4V5KxhxbB40l4x4fGVnKaU7bHupEwatLYbinGxkzQzDu8cG4PizHoH2Npsj56PP2NXRPCWWKNFaY1LAUsG0d1EfGdbR3ZMwKSSOVENKF8cbRqBlg2lQ55/R3dyP7VhorsStpf3KX0HeEguVsUGHa60VCmYJ5ry2Bu4QEf7F3RLfQc4+pi8wDsY/FVdIYMAcV5OXReM68nZ6js57Wh/TZNA/024JY/pNCZN5OSlfsKlWuu4ZNZBgdPb4brhoVjiYasyaF+lwYMd2ltIfFrqT+NIdoXBg20/OVCvRCGn9jxnXTHnxXD2JX0m+mFJHy66hgBeRiwgrIdwShgOh7vCS03BFCSlGYhI39XbTp7fXCXUoCe/atQSncOuvJohJXSRujYTNZvc5c9PKz6bu2TtrsRo/vhutgK6x++rw5QFYjYSk2rgvD6qPFUQhmlm5aGJ0NJOC4SzQhXPOapM2hBd7qI0uecR1ZanOm0Aap3x6AcR0pSYnFtMlHN9MGadgUQpSHNiGrN+LFiV+myHYL4isiAq6jkRYjU5gW49hVZF2NbqHF33WwlaysDSos+7qQuITa7WgiYVtYV4UXxfKAhz6/mix4Vh8t9LErqW+tXrpnoXyNHeNDShF9Pmt6kISHQy3SEu+qpk005clGRDeT8pMzhYQekxpG9q1kNTfc000W9EpVWpDsraoUHAwbqC+FYOP/+UTErdCuNzkAq1eRShcAsgwrJDC7qqgNoyeQsmNvo83KFKb7M2wKYdyzVTBsCiF2FQlTY8f4kLSIxt745HayQFZQX9g6SdhJPdIgrZDZtwZhDpLiJazNuRMDyLw9JPswvkLbdDSrae4tPbC30uYcU6t5yDro/t1LSXiOqSMhQ78jgLjl9MxdVbQJ29qpDVEeBY5H2+WYsnqpjQnl1P+xq6g99jX0Muz2w11KQpBxjw+JS0iQSlxCwrC9lfonppba5azXPBR3d8vnOf3lcmRPDUrLnFRcWuh3nfU0XxLKaRMdl9YJ/a4eWHpI4EkrJCve+OdWIXUeKd0TXC1yrli66Z5yJgeQNZ0EWnNQQZRHUwwDmtV0VgjG9eR9EF7PtELyJqY/Vd/LY6LfHpBePXOI+lZ4QfS7ekgIraDxaelWkFYY7rNO2TpJkYmvUOTzHp/cTs9rrxeJS+h7+Vke8sbs74JzNQk0qfNIODRsJiHe6ldg3utFxqwQeYka6BmYwoqck1avIr1fwiLrqqLPiXu1dNN6kDuRjBFWP91b7CrNS6Mp1kL5jq8gC77wdurv6pFKjjDUCAu+62ArDBtDcJdQPwqrseFeP3kcNtI67WiidREA8sb6kTGLBOL4ZdT+2FXkCY1bTuuEozFinXaX0topBL7sW4NSabZ6yaOYMp8UmbTCiIcprZCea+ISbe2dT2uSfQ0JlhmzSGE3bAgj95YejJ7Qg9yJJKwnlJOAKjyOGbNC0qjiqlYxJr8b7lIFnf85RQp7wqPgqlZxs7tNjh13KSlYxnWkFJ5+3yrXA1tnRPB1PNoOU5ieGwBahxTy/DkaVSmcC4HWWa8py7UqrPu7YOmm52bppj6N8kTWVyGsirXHuJ7ml7OBriWMRVY/fcd0vw/2NhKSU+aT4ckcVGC8j5Qrq5fWrPTZIVh6yOjgqiKlw6TSfI1dSf1sCisYM64bUV2q3KviVtA6G3+oBfZWFQteXyw95Po7e2gOBukZxtRpRiFtjRURCwJXFQnnxrVhWqeKI54+VzU9D2GwcTaoUg6wryHPmf7OHujv7IG9jdbV+ArNm76UvuMuiXi7hSFAKK1Z04LSmBK3gp6hMCyIiAhzSEHyAoW85BtoT05eEDFmxtSS7GLpVqTRwOqn/jSuDUvjnq2djDCuGjI8xFWq0iCg3xrEbS9VwL5GlfuPo0nFSLWLFZCLCCsg3xGEAjIq6EFcJU0uRxMtSinzydKfOYMme9wKVYaRJJSTAJq0mAQQWydNfhFW5TrYCv3WoLSSx66iRdRVRQuB2PwtAUWG6Rg2krXD6o0IOYlLyAprb42421PmhzHh+ZUyjMBVpcrwMXNAke5z/c4Aojy0iMQtVxH9SLsUJmMOtpIHpZYsHvZWLeToAQ+cq2mhEqFIgtPvW2HYFMLUF5cjvoKsTpYAfUYIf+YgbVKp80gxc9WQsO5oVGVbxGZi66S/6e/sIat7bcQKHlNLi50loEgBLbGYrJPiWdjaSVgw7/WSe3gR9Y+zgaxpcStUZDxVT279JhVJTzTB0agiZ1KANhPNEpj19Go4mlTpmhcburCy2zpogTbu8cGkkjU1dR55jYQXwriehEb3UvJw2NeQkpVQRhakjKfqZbjW+OdWIXalFjZWQyEiloCmBPpog9TvCCB+GV1bWLeypgURX0EblrtEkeEm0Y+0w1VN42VMfrdUTMeO8cnwBTG2Lfu6yEo3I4TsW4My5MtdShvXbS9VwF1KiqirOhIWlbSIlEehxLiqVRkaJ8KbTPf7SAHY1wXDHSFYvQqiHuyEKUzj2blaxaLXFwEAEpfQOE6fHYJ1f5dUJnKmBKSnxOqlZx+7isaBCLNLXkiGgrQ5YRjXhRG7igTNsc9WI3cizUnngTYklJOwkDUtCPvDHTIkLXMGKXyZM0Kw+hXZD1Yv9YsII4qppY3Y3qqFtZVHPIyG3X7pdbK3RiyD0Y+0I2MmCaDmEAk6hnv9sHWQcOmspzGeMp8E3+xbycPpqiKvXOqRBtjXqH3WKeHFczSS8B+7kuZW1rQgCcPFJJwLoUMYRGJXUT86G1Q5flPnkhKZNifcy9smvBvZU4PIz/Ig+9YgbA91wrjHh/f/60apPCQWR0LQoptJydHvDETWt0rNWjqfhDzRbyJsUXge3KWaQlFCgrjVT8KbcV0k7MZZT96O2JWq9Og5GmluCiuwo4n6S3gxRChiziQKK0qdG8aY/G6kzA8jb6w/Ijje043oZhJeozzUB8JDor+7G45H25G8UFNkVtLYzM/0wLCBjD1C4bL6FOn1iKskhSw/2wvXwVbk3kKhsZbuiAdy+svliKmlzxrXk/ISX0H7wOn3rTBsDsm5b+ugeVNyvAj2NdocDtD4jPLQnHCXUDviK0iQd1WRkhXdTGt6zpSAVIIBChMVSruYv8LIJfYsq48EUKufrm/1akaweur7xMebydOnhRmlzCevrjlIbUmdRyG3Vi+ta/qdAZhDtGbFrqS2iv0n5mArKUjN1G5Hk0oe6J1kzMu+NYisaUG5XxjX07oz9cXlSC+gdSOhTPt+ASlAtg4aJ0LxjV+meU/XaPvKvi4yPu0kj60IP0opiij/yQtp/orvGtfSWiNCkPU7A7jv1ykwKbQn6LeT0UIYcMaM64bpfp/0Qtg6yJORMSskw/zG5HfL/dJdokjPra2D5qdzNa3ltnaKgrAEaKzGV5BhIK2Q5rMYg8JTnjM5IL0j9laSTcwhCpG1+qgPH/uti7xjHZF5JI0wjaRAGzZRVMToCT0yPDCmTkXSbC8rIBcRVkC+IwgFxNxCFllnvSYUbyNLUlQXTUqxIRrXUkylfQ1tPNHNtJCL8IXkhSTEGO4IIaaWLOxRHk14Lib3umEjCX+xK2lCJy0mwVqE4+RMDmDsGB8pO5olI3UeLX767QEpDItwgfSCsIz/FV6GmFr6bOq8sIx/jfJorvYC2vSEi1h/JwnADW/eDv1dPXJzMq4NS7c9AOjv6oGlW8EEV4sU9s+0gLuXkkVQvyUIkxqG/i6KC86ZHICrmiyVWdODMu5cLHyiH+KWU7/G1FH7o5spvCOm9oyQrg1hzHilTIZsuWq0kKotZDFyNNEGIYQVVzVtSlafljNSSYKQ/u5u+H8+kcI+NlDscdIi6s/Ylap0TY/N9cHWThtW1nSyVAmhLrpFGwdeiqEGgLgVqozjdZcq5PHSBPaUIortjq8gQdUU1qxMu3qkUJA1LYikRTRGhHV/fHI7CdkrqV9sHaoMw3CXkNfMuJ6ESRGulDfW30v5EGFuVi89NyEIJi8ghcbZQMKHENYMmymUTWzoxnURYVJ44kQuiQghEqEbqXPJ9S+eoXspCZr6bUE5ntxLqR8nOJuk8mH1k1DS+Z9T4GgiIVZ45gwbQzLER1gGjWsplNGk0DhNKCdvgL2VFCez1iZbJ1lezQHyOom5FLeChJvoZppfoyf0kIK5OQRXNf2Oq0qVY8y6vwvOBnoOjiaa6/odAek5i/IoyM/0UJiTlqeQMTOEjFlk+Tauo/FrUsKUW9BOHp+45Vo+kSZYps8O9Vmn4laQVdfqpTlm3uuV4Wqjx3eT0N1O48K81wv7wx1klW+NCJUxtdoYL6ZwM+O6sFS2TSq11dZJYyVxCSnOItzMVU33KJQy/Q4SauMqNQ+HNn71OwOkjHhp3mfMJEu2UPhFm2NXRowE4lmL3Al7K+W62TrJgND00+m0Nu0IIGMWCUT6nRRqZOsgxRsgL1HmDPo9YYhIKKcxLJ6XvZUEOv2WIMbm+mBcF5aW5dETepAzhbyH4neypwbhOthKoYcrqF32VhUpTzZKBXnLW7kybC1xiRbCVUNrnBAgRf7f6fetGHO0BmmFFDI4wdUCRxOt+bEraRyKcCLXwVaYA6QgG9eR0Sh1Lu0/cZUqLA94SEAsoWer3xqk0EAPGQwMG8JSyUydG470UwcpsVnTgjKUNC/PL9uetChiTEgo08JrV9N+p7+zR4YauksUFLy6FNb9XVB+OY72ze0B+f34Q3Rv7hJ6FiY1LNcPi2b5T5sTluu36X4f5eCsp/0qe2okXOnOtzPlvpA7kfrqsd+6YOuk65tDWt7dBuo/S4+CrKdX0/x8pJ2iA9bQuMuaFiQlpV1bX/Z3YUx+N/RbgnjnDzfIOSdCuJIWa2GX2hwQxjlTWJF7t62TxrX+7m5YfZTfkTqXlAr9jgCFsTZEjIQp88MyZNawgfpAeGPS5pDXV3hdXAdbEVOr9flSGltpc2i+ps0hT8a4jC7KofGQstDziwnSWCqMBLaHOpGf6ZHzL62QjHYxdapsq+GebgrX1Awyhg0UXRFzsBVRD3bKfKxJR4pZAbmIsALyHUEmoS/zQ39nj3Trm5QwsqcG8fP/7yYphOi3kLVx9IQeGZ8vLKAi5tS4hxbuKI8iE5ITyshTEP1IOy3IpYqMFXZVk6UkYybFdsYvU6S71urVYqFbaaEU4UsJZfSbQgGKXUVWQnOArN7GtWQVcdWQgJO0mIQ6Vw0JCeYgLb4J5bSQinhUESMf/Ug7MmaREiUs+wAQ5SELTdJi+p5hYwg1/zGLrL2aQOSqoj4QSfvCGmdcS4usrV0Lc2rTvElVZME37fXCsJkWVMOmEPRbgiQY7fXKuPWYWhJwTGpYutoTixUZ7yqslSL8J6qL7kkUBcjL81MIihZqlj6bNoW45bTwO+sjLnwR82zRQp3MAcqp0N9FibZRXaRMuUvp97OmBwEAhs0h6V6PXUkLv71Ne0a7/TLEzVWtytAGEW5k1vIAHn0nTlqFE8oVxBxshSWgCfaldF2RJ2Pe60V+lofG5/aADKkwbKTcm8TiSFJ07EqywFl9irTYZ8wiJStuOSlq6bMpYVO/hULUsqZRwr1hA42nlKIwLPu6pCckuoUsjGOfrSZL4CaK17e3kYAUu5KSwMWmJsJllF+OI4tcgMaUsHCKUEIR7hBTR2PK0UTzK3khhR3E1NKz0u8kj8f4lA7o76akTvsaGnNRXXS/hs0hShJuIeFhzNEamZ8QX0FhJIYNpMwIYVQkaQslM2kx3a+lhxRLITDGLVdlvL2zQQvNWkdrhymsyGRfYZEcn9guE/BtHREvQWJxJKHdWd/XA2JcRwJjXKWm3KwnQSttTlh6IvKzyIubNZ1i8XNvIStyxkwqOCBCxfKzvXAvVaQnKLqZxpEIeTMHFDkvRFy9KGwQU0d5Y+MyumjtW0Ox/iIPxt5Ka6erioSk2FVUqMDeSpbntDmUVySMG2cqlM4GsnxbvbQmFby6FK4qEo4Si0nZcFVHwgWd9fT/lp5IcnXccppX6bOpwEXKfBKg0uaEewnvhnv9FPrURkKjs57WheSF9BIej4yZtHYJhTt1Hs2NM8e1KDJibyNlMHNGCKb7fSToPtGEnElU8ODmhFbEVUYMSiKUK3Uehe7FrqJ9I2U+zSPhmUooJ69OfAVZsA33dJNCq7XLXUprlAgLGjOuG9EtlI+XVkiGHeFxAoDUIw3Sc5u4RJHrplAQXdWq9II468lAVffmTFh9EU/RxBcqKYeuVMtZ0UKwLN2k5McvoznlaNK8wNsDMNxBSp19DY0r/XYqTGHa66WQsB2UX+esp31CJK+7qrWw1mWR0LL02TSmrfu7YNgQxrzXlkC/PYAZr5TBuMcn84ncpbRvGu71S+Ob1Uv9KDwHIv/FVa1i8osr5JwT4b7Cux67ijwKp9+3kjFhM+1vIldRhJbFL1MwNtcnQ8NEqKdYJ+MrFFlYJKUo3MuzK3KTkhfSGigU6LQ5ZLDLmUKK99gc8voLb6RlH81H52rNw1oU8Qy5S+haMbWad7+K5k1KESlBWdNoT0heoIV2pnbKPKKoLnoWJoXuV4REm9f4WAG5iLAC8h1BKCAxZVSlxurTKsxonobEYkUmbEe3aC7UmSTMjH22Woa22Ndo1qsKEhTz8miDiz/UIt2aIi42fpkiLeHOevq3qPCUUhSWAoarhgTYhMNkLdXf3Q1bhyo3uOQFCurenImxz1YjP9sL4zoKzbKvUaVF3FWtYnxqJ9wlCtb87DakzQmj4sfzkD47RJ6ae7qRn+1FdIsqkyzTC7SY8TtCvapgRTeTFTihjDYRYbVJKFfk5uNcTcKWWRPghYtfxF+LSl+ZMyjB3aRShRbngTYKFalXUXisRMaxWrppcxVu+8THm6nalpas7WhUpZU5vYD636SGpeXd3kZCjRAgbB3UN44mzRvTpkorubAOi41VuOBFPo69TfMkPNwhlRpHE91/lIc2d5FUK8I6RB/Y22jhjnqwE8b1YaQXhGV1HhHPa9hI4yq9ICzjrIVgIUL14pZTLoBxHeUmOJqoT2+x1JEQ1KopMyFFPp+0QrJoj0vr7FVdRb+FvC36rWRpFDHzxj3kLXCuVqVFPKpLlQqHEIKFoh5fQRu48GgZNoXgLlVk1bPoFlIGRWggAEqC1LwXothB9tRIdbGMmTQ+bR0kPOnv7KHQiwb6zZT5YYx7tgquKi1RvTAsLZauKi2XQAtLEkr9mHHdsqCDSVOYRZ5K+lP15LlaRFbeqC5VhnmZA1plurZIjkJCGY3h1LlkrbV6FYxPpupGwkNmCkeq34weTyFAicWKVKyTFlO7hBD0/n/dKL06nyV5Ac0DZwN5CtILSJEVFX9Ef2dNIyu81avI+SPDJA83yxwd4SkQzzVuOc0lMc5tHfRbmbdTcrUpTAKdyOsSBhkRtiRCWnKeqZO5ByIsU1ip7a00dvV3k4DsqqLriuRr/VaqjqXf1YN5ry2hJH9NuDPcEaLQxVWUO2JSaA4nLVbkmIpbEVHC9Hf2SI+PUFqt+7ukcUK/JYjR47uRNoeURUcTjTlXlSrzUkQisEggFyGT6QVh6R0QvyG8zgnltHYnL1DkS1SLM+31IvN2SoTPvjVIOTwl9AySnmiSoS4ZM0PSyCIqwgkjTJRHkXlMIvciZX4YE5xNcJdSX2VNp34cPb6b9haFct7cJdRPwqCWvEDL8aokZUoYLOxrIuE3Vj+NlZT52ppaQqE+SYtozI1/bhVGT+iB49F2qqTVQOuNYSPl2YgwVOdqLZ/iPh/0OyiEK6WIvOS2DpqTztW0JiQv0Iqm7OqRRqS0wrCMCBAGvOhmuncRvuYupVApR6OKsbm+Xrk4mbeHpALtbNA83Pf6kV5AAnn8MprfCWWRuRdTp8oiJI5GWr9EeHDuRArj3f3rNGTMpFBpSzcZBOxtpDyJvW/sGJ8sQBG3IhIeJ8LshPfKsJmK1tg6VOmZEN50oaTnTKbQQ6FYZE8NyrCsuBU0X2XoqFYt0qIVbsidGKAQXq2KlkXzCIs8p7FjSKbImh6U+4sIA3/6d3a4S2k+x9SpiF3MCsjFhBWQ7whCARm5hYQHq58UCFFWU7+TQiwsynXBWAAAIABJREFUD3hkqUDnato4RYy8sFzHruxt2U6bE7FsuarI4mBvVWV51ZhaEvZEzL2jkbwTZq1CVs4UiqnNvD1EuRN+EjKM68Oo+Y9ZMh5WvzNAFiQtX8Xqp8RoUdbSXapI65KtU5W5J+YQtdldSguhJUAhJMJzIRZegUhAjl2pykRVw4awvF9RrcO9lDY9e6uKsTleaTVLLKb+zJoWlO+Z7qeYZeGejvJoIT5dtEHkTAnQpqV5n7KnBqWiklCmJcpqMb6iipOlmxQGEUZk9ZEbO2mxIgXrXkUENOufrUOVio3+7m55fyIRUAi+oipK3HLN4qWFwgFAzuSA9ColL1BkCVtHEwlFhjso8dykkEXWpNIYcS9V5MYqhCtR1jhlPm0GY3O8FFL12BpY9nXJ6joxdaocV+kFpGwIz8GEmGYZf39mMrutne5ZVOqKqVNlCEvSYlL0TArl6WTeTuNBvz1AXgdNgBReJMNuPymvj7Yj5clGmEOKDDkSXjqrn4QIkawvhKOcSVSWVVSiEQq9SD4XCm5UFwmeomSs/eEOCuHR8g1yJwYw7tkqmIORIg0ijMC4TrNkbqYE64xZWvnOu7tl9SkRymN7qJMKC2jJwekFNK/iltN4FGGYCWWk0JhD9NnUefTMhBU0eQEJ7K4aLQRMDUcq1MwJSy+hqC5m6VGkxVJUVDuTvLF+SjbXFOTYVWokBG89KcmZM8jiLfLLREjW2DE+qXAJxVyE32XMipQgjVtByqOzXusLLQ9GvyUof8vWroW+9dA8S15Aa82YfKq2lLSYCmGcmcMQU6fKHBzDRhKyjPf5ZA6Ws55+11VNfSVKFYs8OEcjrQ9JizSltlOVFmP3UmoTAPkZUXQheaGCnl9MkGEqrmpaU/W7emQonCiS4KqivD1RaCM/0wP9zoA0FgnlXoQkiZK+hnuoUpKoWJVYrMi8wKRFkbwPYdARIZrinjNmhUhh2hYkb3FBWOYtJJQpMjfNsIE8BO6lioznd67WrOa1tKa7SykhWZQ2Fs939IQeWXADAHktAjR+hRHE0aRizNEa6HeQFyGtkNamrOlkpHAeaEPuLT20T/Qo0osl2pM6l7xASYtpv7M91ClLpRs2h2QxEuN9Ppx+3yrDH0VYn5gj0S2qzIUTVc/il9HvCQVE5BNGeRRpaLB0k8KfUkTtyJhFCrbwTIk2nJkz5miKKHWxqyg8TpQJB4CMWSGp7I19tprCMH2KXA9FmJirRpVeUeGREIUVRAWxqAc75RonqkmKYjbJCxSptAkl1hxQZEl6EaInqrmJctnmvV45X+Q49UZyp4QRS+TWpBXSvSctJq/MmPxueSyAyBkTa4AopW3p0ULiVqjSqOFeqiBhHisgFxNWQL4jCAXE2OWjECN/xLIgBH4RIuOqiSS1xdRSaIC9lSZ07sSATNwTlg+rlwRfsVnHrtSEtoKwTNZLKwxLIUlUnElcEql8JM7xEMJZQhkJeq4aimuX54EU0UYuqrj0yiXQ3jfu8cnESxmLvUqNCBMLIx6AuEpVVnESiE3O0k2bg9VHwrGlJ2I1ExaXuEragA13aMLr1qDMT7H6I2EDohJS7i09ZH3WhMKsaRQCFN2sfXepguU/KUTccmqT80CbDD1JLwgjP9ODqC5Vnh2S9fRqGXITX6HIBHBhARa5O0mLadMWZziIMw5SikhotbWTkCgs6QnlirQWi+o4uRMpLAwAUufRv/U7ydqUVkjCqohnFsnDzgYSYISyFbeC3hMueCGoWn2KFObS5lAtdxEuJfKVxKYb99gamIP0zBPKaSMSwpw450JsbGNzvFTudBNVy4puUaUSHbtSld46q1eR8e8ixMXeSp4wUX5YeKKcqzWLWzeFhwhPlL2V2mnZ1wXDxpDsp8QlJECIJNYtb+Vi7BgfXfORdvK+7CHlU+QRGNfR/dvaqR+TFpNCJRItRRnd1LlhGY4jvJHCMyESz1PnhmUoj1C4Y1eRNViEuiUWk4Ct3xKUxgZRkjKmloSJmFqt5HVJJM7f1hEpuynGd+rcMFlDdwSkZdtVrYXJaRXIbO2qzCc6E2FZtXWoMkQlbjkl4qbODUuLcMZT9Ugo04RUTdmOr1Dk+7ZOFc+9S8Ukcp6h0uNn5lqlFZJHSsxPUWZXnKsiks9zb+khwXpXj8wfSp8dQtITTfL37W2UCC7OJrB1kpfBFKZ+MikkELlLFRkqJoTCnCkB6LcGZV9afdS/pjAJjMKLI8JfASDusTWyaELKfJo7+m1BWbVLhKWKqlfxFfQ552oV4zK6kDI/TCEy2nw7/b5VVprKnEHtzp1IicCjJ/RAf1ePrAwX3ULPLcpDvznu2Sq4SxRp6RZViPTbgtJrJc9pWkX9nJfnl6GTosS78HgmHG6WOQGZM0IyDEnMT5H3EOVRelXPiqskJS6liAwdAGBcH+6Vj6PfoQm3WsW/xGIFyi/HIbpFhf/nEylnZjt5DfV3kcIiqh+KsNB1v8yX9yWqMOq3B+A80CaFcXF2kOPRdlpnl5OyIc7xECXHRU6LUNLtrSQg50wKyLXZVaVKRUMklotcB+F9FufcuJcqsiqarSNS5MUcUqRCLowYqfMiIccJZbSWiX4SHjvhETPd7yPjohayljsxIKv7Ce+B8DgkL6Q+Ewq/SNKP8kTyNEQ1MqufFDDhPbJ1aop8rXaelHbOlghptfoiZ1nZH+5A9tSgLGwgigD89b9HUNjXjoA8g0acwSTK9csKWjUq7vt1itybROUrsTcllCuwVXMZ3osJKyDfEeQ5IMU+xK5UZSnRnMlk7XXV0OKXtIiUCRGqElOnlYf1aUnElTSRU4o093M4kkOQtIiSu8QCKw6WEhZQW3vkQLnEx5spZ2BlJBQia1pQHuDnqqZ/W71aMnkdeWdS50UO6XM2kNAQ+sXNlCynhbmY93qlVc+4jmL5hQfF1hnxvogkVFHqV2BcSxu4cQ+5t4U1ML2AklltHdRuISjUvTmTqh0V0WKr30UWtOxbKUk9ykOLnqsmUl7Q3kZClKUnEuefMZOsSIZ7I6Unxz5bTdYkrRSoOagpPVoZXiEURzfThppSFJahYVnTg5RU6aWNIKaO2pZeEJZhWCJhf8zRGlma0l1CsdiJxWQtEl4eUT0JgDzHxOqjftRvo4pC+rt65MFths0h6Y0x3ueTyld6AT0Tq4/Gi6g5L1zmYmNJONxMIXYtZAHNmhakAwGfqZNn0MQtV3t5wZIWKfJsC3cpbWCGOygcRAj4tnayQto6aFPOmEXhN9HNWk5TpSrLMVq6FRlyZ1xPXjBRn9+kkLATv0yRycTuEk3I1sJADJtDZEXVLMSWbgU3x66Rcy31SAOFZHl6n6EiFHzjOjqIztGoynK3wlAwZly3TAQXG3HsSq1a0SQSErOmBaHfEUDC4WYpQCSU0TMQJVPFeTFCyBAGAFFSV3gIhGU7c0YIuT+slcUORDhi1vQgHI+20+GMWilcEefvLlGk0J+8gEK2zpYDkj01COv+Lnld016v9AxFt9BzExbvlCIyZohkcXFdURUsupkE8rG5PhkPblxPFaKEt06c2yMEjrQ5YXlugiVAAlvGTAqRSy+gqm+uavJcJS9Q5IFtOVPo90WVqOjmyDkS4rkIYTJtDimNmTOoEpXIT0ibE5Y5WekFkTM5RD6TyCsSB/nZ2rWwr6U0j8bm+pB9K4Uk5U4MyMMm3aWKXEeFgiQOQ3U2UD8Y9/ioYplm1RdKuThk78zyt8b7fPLsJ1cNjbucyQF5vlJKUVgWPBBhq0JZc1XTb4vwGpFLIc7cyZ5KCp4oeZ41jRTopMURT6t4RqLKUercsFSUDbv9MN7nAwCyui+MHMZpuNcP54E2qoQlKm11a2cjaXldJceLYFxLikv21KAsw56f6SFFVDvMU4Qrj8mPnCciDlEVhg1RCCR5QeS8FvdSKowgwqBt7SrW/TJf5sIJY1/yAjJSOVfTOmP10/VNapi86dXk6RHeuJzJlBc3Jr+bDnLUCp0I67/toU55xpS7RMGMV8rknIur1EKmKyIFGYTBJ7qZ9hzhbRcH4orqdyKSQvxbrIeORq3UbgflYgmPr3V/F+1joUip9JxJAVl+2r00khcnwnmtfto/bO2qNEAI75IIg3U0qbIogtWryDLa8cvov4XHSuBcraLuzZmyNL1xHYVgi5w4oYikzg3LIiYxpayAXExYAfmOIBSQjJs70fazW2U1GldNpMKQOUS5HMb1NDFzJwakpSChjKzx4hTpx37roryCyki5ThFjmjKfEjDNAUpSiznYKmNMRWKzWJzNoUglLnsbnbsg4sUN99CBQ/ZWrYKUZo3KmRSQJQrdpVrb93rl2Q72NapMerN10mI5Ntcnk95S5kdKfabMD8tcAkFMHbVPJA/a16iyipbILRACiDjlVlgBLQ94MC6tE3lj/VQK0B/Jk7D66SUS58T30uZQqduorkhCq/4uUhSypgeRMp/yR0Rp0igPKRfRWllcV7Uqa/SL/Ib4ZYp0rac82Sitx7ErSbjJmUwnbNvXqLKevjhnJPtWKqEYU0tWwzMr7riqNSvsCurj6Efa5TkrxrWUR5CX56fqYGckeItKXkLYModowxFJ53HL6V4SyhUZMuJsiJQYFUnE8csUGSLjLlEicerl5Kofn9qJjJkh6b2pe3OmPMhOWGJFnffEYkoMlQJjNY0xkfsjyn86GiMhhCKhVYQUidK5wjKbn+kh5fhAGwDQxqmF54jwFVF9TghpaYUU4pI1nfpLhOJEa+VF9/8mMZJoPSskw3zECeCjx9N3DZvIICBCNdILqF+dq+kZC0+S1R8JaxFlLcVJ1uJsGP1OsnLOe20JnAfa6CwUTdG1tUesvGlzwhif0iEPIItuobAjR1PkNPe45WRFTShTZGiOrZ2Uxc8iEoItgUjJbOGRFLHfrmpVCiwigTVrOj0Lkd9l3d9Fyn2dKg8HFLHvUR7ylAiPRsqTjYipVWW4SdY08kTGLae2p88OSS9dQpki4+4TyrUiF2WKPNfFsDEkrcmxq+j5jh3jkyGP4vwK4fE0Byi3JHZVJGZeHPImDgk0BxV5YjsAGTIrztoQ+SUiry7z9pCsyGZcT88nykPGgyhP5CBG/Y4AJV17FXmIakI5XTv+UIt8xpYeRRa1+P/Ze7PnOK4r2/u/+MLfbXdmTagqFAoFoApVmEECJEWKkzmTIAASAAcQBAcQADFPBaAKNWQmIc4zKVEUNY+WJdmy7Janlq/ddruv7Wu3O+we+XLjRvTLFzduBON8D+usnaDd74xgICMU7pY4oLIyzzl777V+y1fAvU50uxNwr4X/3rQZwAJOtuklCk/ic9S0WSL1qd+Fe/qTP5nQ7p9zpBv+q3/+K1CillEUVPTpabPOa1kZYGfcX4LZ+SqKliePA8p8kFVKKbX2u4PqhfIp8c8kPxnDc3PclmySquO6gL2TQ4CjBg2Q8uTP2SJjoky1/KzOEXJcySM9aLHTjsh+40e0pGoJRVDz50OyBtEvV9NmqdiHU6q1CVS7hp0FmYIwkZ1+HV/elnBbHsY5WeAkv2FnQXJL6ncDSkHsMJHunmVLZGpKKRWcRTPDl9dodZ2dRI+gcTMv63X9rqJqfjEva6FxD9ja+t1FaQTQmxV4c17kwfT3+YpYRygJZANtQxI0O18ea4gvb0vDI9WuCYU6l6vusxFk7OhJO6VlyU7s63IvdxREutfw7fNihqccMvrBtOQ+UVZOf13ZMApWM7uK4X2W12oB8pxcIsFaQCch9M6cUDfYPajfha5l6qAlbG2aL6PncChmlge7SkwENq6j227czItRkVkX7ND6CrZIZhLdruyLxrK6vUXR4lLWUjqOUbZxBzkH1MCySAi8OS/yHRobS8exQTXsLKj2v+1R5itZCXx67w8x0YsysMhzwRJ9tVJKMLKUHNDguPybdcpr6cAw7XlginbVMVtoLMYN/Jy+vC1Gz6qjOCCXn3FEEkNSSdtPjirzAZKsmRvyjR/0qbq9MChXHXXNoqEp9xDetAXYQ6ZPe5Yt8fXQcJ5qx2Jbu9+dSBGZyRF71VEQqBjW5HUsMU6vq18Q0kzZkKOavjOslFIylak6isK0cXtBCljem8gong0a/tn1amnJqvjHE5IQTW02s1pS7TCTUjZHU2DpOA7I3Lw5pWNHNZiGxKTpO8OqbBh/JylIqYOWGEwp3zNfxvcWmnblIa1r8X6UjmnyjfZN+Je0IXtXUZlXi9JdJ1bXuA5ikPnykhy4lFJIBJ50jZCUR4RmXH6/ecnt+EZGNA7zpKbOncbnomSMqdU0igbnHIEAhGbw9xNx2bCzIJ1SFubsolJm4c/Z0hmlhEw2ai2zC87hANO0Fdp8GoOZEeLL2xJk2rgN39sLldPAnR5x5T+EVBi34OVikbbyqttblDWkcTtM08lOvBO+vC0T0Io+HNI8Fyy1dj0mTA07CkLQo2He62iplZaNlZ/FmseOdWREy8+0lj6YxucwLxVVyVtpTJDu5PDsDqJR0bADxaPXQePAuFaQ55INDuZzcIpGKQwnZCQBrf3uIN4XnUlEiRoLRyalBxZx35WCRLR5Uw4EMseSQErSpOjDY4OJsszScVezz6kb/SiJLvxaShkJNGjelEOXu90SqSPJQsTZei1bpHyx02iGsItct7eodv+oV1LYmd+U7LTEK8WU+/IzbsbUC+VTal0jEswpe2ThW9OGg//a9UtPYazZFHqhCs9V1THITkvHcbhkyCIRyOEJfFbvo0XlK+D+GvdyyDxZdINXjdt51fVVl4QRem23MZTowtQgNOUWxVVH9RR12vX20NNh3F9SdZ+NuPRHPSmUDr42zgsW+zwaJ/435qXrn/p0VKa0zI/xOvCS+XMaOa9JgUxUpz/Ia9nqGz/oU8ZtV/5oXgIMgOsgFQzVh221/osBrAG6kbehehb7/93cU0nsxj3svckOeC6YPk5Et2cZz495tSg/H4v6pq2QhEVGsRdVH7LFyE75FIsc4/6SQGIYBmxeKorHk401+uuig478I82klyxV+t4s/D+vZQR40bwpJ+Z/kVGPrk5AnuW1WoA8JxcLkMr2jMigSDfyFdGpqT7spgHHTmFCQZNeTRvwdDSQVx/SiN0t4OSze+grQFebakfnnYZR4z5GwxUn0dnwPMyo0JSWuOhF88njgGreBPQv+e5lQ1rqkgc2t2QBnZUnjwMq0W2rJ48DIo0wbuYlcIgLTvlZ1yRJnTzpOuTmxz+eEHO1UkoF306rtp8clYBDr4NFlV2XkgVbcIDBtLtYM8Aw0YV/T/OocaMgnTZ2XoJz6HhSTnXoq24kpy+4AUzsQj95HJCk+Fg/Aq2MW3lBEZsvL0kREj2HrjRD4zi5iJ1yJWTsZobfnZWNrn43jKIVJ23V/PmQMl9eUk8eB+DvGcD3Gli01cayCaWUQsq9ll/FP4YhlEVMogsFJ3GZ0UFH6Gde25JiMDLipso3bckLwcu4UVDv/SEmQYgsBOhZKBvGsxLIPC2X4tjeuF4QCpCgVk87khHDLhcnL+VnsVGSLiOG1BU0t6rjrobZ8zADw6z2GUUH9Oanjb++Au65UkqmH5wIeC6g4xn9YFoKENKdIqP4u7ihex18V/W7i+IFMW7mJS2aoYprvzso8jvjPrj8nGaZl4sS2kUtdyCjJz86lZ3Me043ShZcVG7VcRRX8R7cl7q92idy0VIbqmcFY9u0NS84YB70jftLyrNsqXWNi6r6EJ5rBi02biv8lxKs2IdTwPX22OqFymkcGC9aAi3g98PCPNmJVPTwhJsaTd03EdV1e0HTi53W9/80mhqVvXiuqg9jWtC8KaeqD2GNiJx3JMvIuAFzdWvTomrYWZD/zqYJqW3sMHOd8DzMqLXrllQgCz9b9SFbwvU4SY4OouPPYrCyV/9zwi0iCRugB6R2vyXfaflZR/IZoud0vpDu+NbvxpSmaTO8WqQXlQ3pteACZKlE5hKvzHR4Tg7MS0BOBxZtmUaXDeuC6d1Z6PG345mgJKzmgCXfl9e2ZGJqXC+omV9tV/4lFPO1n40IinftuiVZZ4NpR+Q98v4NOPK5E91YH9ngaF2raVC6QFBKid8idsqV2fnfmFe+op6C7SlKHhObN/TGJbqxR3gdrJksWkj3o5FbjPVaisa9svIEDrHGjYJIHjck51TlCUwnSSokjpf+JP+SDj3MozFm/2a9FM8sgIxrBQlHXdewADDHjAs2oEeRYYqR845IFUloJM1QKaV+8c9fV6VjwO5zohE/YssaEp5wZCpsXEORXzKvmxKbUUi894eYTB1IbWvaggZB/S6cGwgOqT5sy3SN8u36XXhWjVvAjRs3CuKBIxmShWF4QmfPjK5INt8OxUbqoCXFKP2Ylb22Gv/7nUBwj+L74hrjfS2jjv73TskqCWRskWR5li3lm1w1oT/La7UAeU4uFiDVuxZV0+a80Fi4yRHd6X20qHK/3oju8QriTE0bDvDG3ZyYpv0517gWnNMEpJt56XBRUtK4HZr+//MfXuV/fUEIQ+YVHKzKhhzhi3O8XjruGoGrjmJDZPpq7WcjyvtoUTZf4/6SSChCM67ZmVQUdii9NroxvrwtWMeaNmwmLS1ZuVepdkuIMeSb06NQcwDTksj7M5KIzNGv0LiOuh1BjvxJTGIxwAlO9WFbNocnjwPAlw5iYyp9b1aZD7JCQDIvYyRdddQW+sdKvXIw7W40HNszsM64XhANcvKTMYED0GxOWQixmKXjMP6SPhR6Z04lumyRzQTfTsNvkMXnZEdecku0DKNs2M3yqDip09u134dEstSno2JwNm7nVerTUekcUivOcLboOd1pPgQpTGTUkZwabhwlC9jQaCQOzeBZogmYuuC6vUWhjZEEVtG3Atd72i36iLH0XMB0xrxUFLmYP69DKAfcrioPi6QUGTdhiowOoOBv+8lROXhwqkHka2T0acpUdBAbY7wH92p93TwmD48WITfUMkLKv6qOuZkw/pzupr8/o1IHLQET8L0mXrfqqEbpanJU7LRG9mqZh3ETlLzSMV3o6qJUDgp6ShI/gu8qkMFzHu/B8xbI2JIE73kJEkAme6+8qg/rQLqXIEUMzcCczII2ch7d+6atONwYNwronp53sc58PgJZ13fAjASGkzLUklK9ZIclaE8a+EvH3AlvZBTPLA3M0UEd1NaDn7dk3p2q1RxAsW1exNTN/8a8ZDFQ1rMhlQZB7NKKw9kRFAuU+1CWVfJWWrCqSil5V+I9tkjzvI8WARXZXpCwymQnJjHMDvK/Ma8iI468G01b84J4joy4U4ZUOz5j3Z4iglF1xkbT5rza5B/GOn/DJYZ5ljHR9T5aVLX7ioLsbV2LwD1moBg3CjIJZ94Twzcbt2NSOPB3+4DytWxZ10JT6LiXDbnvhT+P972iD5PmDam08hXRQGPGRdmwPhBryY/v0SLe4WVLGgGVJ2yZxhNPHdZ0QIIeyoYcmZzU7UXDhOuZ/3UEYwYytvj26J3g3hbI4GcsP6unpbdcaS/zRwhHKD/jCK2tps1S5ivwK2358pSE7Yam8Hyv2bAEid8X5yRXxZ9DU8a8VMRzYWGqw/c8NIWCd6XnkXsKJbyx0/juY6exHxi380KvDLyJZ5khiRUncb9D08CIV57AfhzrdySPixk2rU2LQPKP4nlnQGJ4wqWjhSddObF/CeePipMaSDPg+k6SHZbIn5l5Q3IVfZAVfbYoFMrPun4nX8GWPbvipPbitVuQjo7pUFMdLlx6cnUC8iyv1QLkOblWFiDNL+ZlkY2dciRdtWkzuuqlY1iojFt5N8DsKpCX8R4cVFIHLRQyOsma4VmBRVsObrX7LfWNH/Qpr2NJeBfHsFy8Ahkt8dKBXslOS+QJnmVMPmoOYIMjMrV2v6WMOzmZRtBAT00p//+yYXwGynm4wTRtyQvSteYAulzxI25HyOtYMnauOKkLkG9OIDxME8CoQ09022LYLPtgWmRAzEsxbhRkqsCDAROXK3tdQyXNlXd+Vw+N8VGYFUvm9aLagZ+T5sB4jy3Gc+NuTg5Ixp2cTKRY0BH1GDulD/M6YKzqmPYy3MXnYuJtIIPOo3F/STIi2FFmAUK5SeQ8PmfVUXcDZJe9bk9RdX3VpVLtOAhF3p+R7lbZMApTEruiH0wL9YSdWOM2sLCpgxqDexFZBjQE17S56c6VJ/C5avdBBtC0Na+M+0sih2htxsSNZvPKE5COmVdwsEgdtKTbmjqI309QQXgCBVb5Wd3pX8CBpXlTTrw/0XMaqDCFLmlYY3gZIFi7D3+HP2dLkepfsqW4Z9ebk4zG7QXleTUj3594NLSunoeJVLslac3xIy4Gs/owvocXyqdU8O00DrrvzYr3ikGbpFHFTrn5BZHzmGYRPlB9CIVr6tNRZKJYWAd4GOEmHj+CQ3dlr0vQMq4VVOzDKYT99aJgNu7mJDH7zy+aycPvzqrQDA5+azbmpMHB78rzKnwV/pxOhtap7v6cxlHrCag/j+eNcpQXqmaEwkcMKju9LKbKht1DY7wH99H7WkbklJyqNG4vqJ6fHpbvg+Grxg3kUzB8r2QeRbjXxs8dnMW7umZjTsyy0XO6C9+OMLba/ZoEd8qRoiQ6gPtFIps/706AmJFQOuZIMcIshZo2dIWrD+HAnOi2hXRYeUKTjPYgCyn24ZTQBb023mvKNQlGYHFj3IP0iOhrosHLz+J7a2kFztm8VFSeV/XE+/UFeadovK/fhalx7tcbVfPnQ/DqnHDDLTndYlZEIGtLdohxO49pb4elXqiYekr+SH+FeQlUpNC0oyo+mhRKnPkgi3dqSk8Htc+QDRTzKmhnZcOOrN0NOwrKvFxUy79Zh/3lNvwQxr2cevMf4/h1vS5KPHXQla55Hy2CBqdlazz41+9GkelZRoHx4t+cVsb9JeV1UMBWH8KvaV2bkcYfp8Iskozr2OPMl9HYa9hZELxMlc4XAAAgAElEQVRv2RDWLcn+0knyvDZ+/4wgaoNp9zmOjGpMtG4EVPSh4VK/q6gCb86LR864hQkb9x1Ksut3AwfONYTZLp6HGWXczcn0KtWufSfnnKdyfxiWTAneSgltosv1ATK8lYqG9V8MiHqh6ij2R6arE2kfeX8GRZLGrgffTqvmz4cAP+nFZy8dc5R5e3q1AHmG12oB8pxcEkR4PAtDbF7LLBax0XotdJPYOTRuQqdtXrTk18uirBno7KbyIFN9CL+m7INpCWuKnXI7tF4bRQs10q1fnJNDp3kVWuctX56S8TRzE2iIY6hX3V6QdAIZdLSbtsCwJ4nOM26YFlnmiS6dBfEqiCeJblst/MMWmVYEsm4Bwo2fU4yaAyhQxv9+pxjhmehOoyoLgepDtmyo4UnXOB8dcIQaFR3EvWvamhf035PHASHlxPqxyDZuK4imPnoOWmB2fPjfOXJOdGkj6Xl8VzVtCGtkoROa0eSnWRwI/u1fvwYiSxqHzSePA8q8qqUWGRRd1HYHMrZ0ZN/5Q6VSSgn9hZMDFkTMgzGvQppCsg4zRUgvq91XlGla+Vl0pVq/OCdeIgbnsaNtXkZQJZG07X/bIwe22Ckc+mv3wU/CDrx5Fd3YNRuWlHENhQu9LRy5e5b1IW9r/qkDrq+Ie8aANaYTGzcKyrgNU2bJW2llvpKFdEYfzvxLtrwvSinlfbQoXXMegqgHj/VrKswH0+gQXy+I1IMoSJJiaIYmXpXMeiJKKTWpPmRLDo/nAu7PwN/tE/pSaFpPJTos1bwp55LECCzoQLfbvGiJTC/RjY274dvnQXzaDOkLJ4MVfdoboxHO1JK3NiMDw//GvGrelFMbv39GmhjVh1Aw/vll3EJzoOo4OuO8V+VndbL3RUtkUyXzOmjtSlE8ayXzjvjHiDKl76l+d1EIOQ07ClIcmJdBnwtP4mASnHW9HDTAswjzLFtycPI9WhQqUOrTURSJb6VlUhOcxXtOaY5xo+BOAs87UhDHTuFdrujThZ6WdBJaQTR03R4Q6HgY55rHqaxP56ckum0186vtKtkBD1f1IVuC3zjhYvZIdBD3V3KBbufFMM5QwKbNMLxXH3KnvF4L3wGpgqEpvEsyfelATkt4whHZUOS8DsDVZD5/3lb/9q9fE6xtqt0Sct8L5ZhOcGpGIliiy1bZ//EivEB6CuJ5CY0JzwVLZK5KKbXty36honkuAJhRfhbfFWWY5hUUkrX7LZX6dBQNHJ03VTbsCESidl9R9i/eL/psiM0tWcBaaF7FdJRT7v/7Hz5pThDMwVweFnQ1bfg8xq285BVFP5iGh0snrrMxwUZSTRsaY3znacYmsdK8XBTaXvkZ/D3mJRjTV757/pwtQYec6vE54QG+4qR+jl/LCK2waQuadHV7i+Kl4zO8rmEBa6QGW/C5iZ3SPjDdBGMosXErL3LP4BxkpZQhUq4YO43n0Zd3p6ukn5WfcaThlOyw5N322pimEOFe04aGie/RopBAzctFabwZ10DFonk9sXvVhP4sr9UC5Dm5WICU9mXl4EWzbWRUTwIsl/gUmsYhINaPlz46gINf6bijdv+oF76Go9gsy4Yhj6JGl6hFptA2fz6k6ncV1bX/2Sxd+7XrkPoc+3BK+YquqTKQxcJNykdk1BEfA82QJQvuZlR5wt2kaWJOdNmiFa06qjudWmZDxG7JvJt3UnUM8idePMys2QA9fUtrFmnPNrq3JW+lVexDdNt4OJbk7bs5Ib0w5C+QtaXbkjqIzmH0HEbvvkeLQlOinp6UlkDG/SzssEYHHJFlNW4vQLqgM0IadhTcidXlopikSbfxLFsysdmQSsthjxhgyocY3Ec/QqodNJqyYXwXSimV/GRMma9kVeM2bIheB5v/mg1LIoFjIFX5WYQKMjuDFCZ/Dj8nMy+MO1oqwFA+HeJILXBwDrI6ZhLw2WSuRNkQNu3ScXwOFoH1u4viJ6JmmJImYocbduigLS1f2hCfFX1ysgOdYI7nm7bk1f/9D5908Su/OSHZJqXjOEz6WIBY+NmIeGxtzkjhziR04ya8I4lvjSvjbg4yp3s51bCzIGZ6TorKz0LHXjoOvGVwDvfCuFEQ0ywnNuN/v1NFB/UzdysvAYxk6ye68dn4DIWmHGH78/0xLxdlwsSfi1MCBiWaV3CwLz+LnyX3640qcl4X5bor6lnGBI8HXxKf/vwqHcP3zPC64Bye88Cb88DoPsxIk6FuL6ZziW5b1ivjBuSkyU/GxDtScwAhi/EeWxLYm7bmlfe1DILv7iDrg89teMKVZzLBm4UXD9KEXZhXXZlS2ZAj2OmaNryP7MyaV4t4xrSMpHFbQSQgsVOO0OjoAyK+lUAJ+kOUUurnf/proR5FRnRhdqUokAAGCZqXkLVQNqSzZHR2EeVClNOt2bAkqd+BRcASGPrHBpSvoA/LvZgYpdp1ftAcOsiEY5iXiwIm4KGYsrdUOwqJ0DSeq//zH14c0nUDp+Ik7h1ln5QnUZrIw/uTxwHltbCuB+cc2bPYyKg4qWWieg9JduA7JimPHr3gnKZm6bWSzbja/a4JPzLiyGdl+CzXR95fhkaWDeEZrGnDXho5j+aBZ9lSZR9My3oSP4LwTk6hV0pgY6cxJSLOtqZNS/cWbZGw0mNEP1Fw1lGHvupG9kYea2xoxpGcG+MG7lsgY6s3/zGOyeY7c/LOMQU+3mOLrJQFJ0NfS95KQxqcc/1j4XdnpbgNvzsrdDTPw4yklPP9o1S3dr/GJp9xvy/jDuA2//vf/0rV7cHP3LATIIzKE3imur7qUsbdnIQ0+jSu2p+zBd9PShbfxeCs3sM0rtqfd7/PNRuxzpqvZF1ctZahlizg+wlPOip6dNUD8iyv1QLkOblYgATOZ1VwzhEWPDF0qYPYJOkVoA+gdNxRV367RoXfnYUkS0uSavcVJTOBnYXBX+xF98jR7PgBjS6cxMZVdcwWI114wkWsRgdxaGOuxx//9WsidfLnbLX3x8cxEn5/RvTq8SPoxtAQ53k1I4ZvpsCSrMKio/1ve1Tfz9qFre/PuYf7YNo9DJV9MC0yq/CENkhrTOWhr7olX8G8UpQwQE5qtn3Zjw3zOvTiTOMteSstlK+mzXk30+GD6aeIUdFz6JT78ujGkIo0/Ms9yvtaRghaTZshVYmddhd1LvzMGGEnml4TJtoTh9uwo6CaPx9SgSw2ndL3ZiVd3LiNTpyvqHGTwzgkUDZTftY9zNLMney0ZMLhK9qi/y4dc9Qn/1QqxYR5BeZPeh3IhQ9k8J0G54BlrNsLj1D84wnZ5Ek5ip5z5LCZ6LJhdD6MIovTPMpxQjMuXrZub1FIN4lu3L+KPnTaGrcVJKywdj+KN37myCg2tkSXngRetMREXjYESQ1NralPR5WvgENQ9SFbTO7lZxz5HPQMxD6cEvN9RR9IboGMrRLfGhcZkXEP+nfKrmoOWOJlYf6HcROknv0/PoaD8ZWiSJ7Mq0C1sgj+z3//Og7e+kBFGQ5/PQ8HPCxS5pHsQCFDKUQw7UpQaEzm9HHj98+gsPxwSnIJ2MVNdEHTXbvvL5PQzUtFKQDYhSyZd6QLTRoZPQv+JVu6wrF+3Av7N+vVzK+2i9QtdhpmXcIpeKCOndJUNd3kCCza8v3W7y6qtetBLEq1Qz7lK9ju5GrRFv06JxGUNnHaxwZIoguHanqS6nfhvWEjwbOMbi0lXuEJHViqaWgkPQXenJd3j4nlRNpS6lJ+Bs9k/OMJdJP1Oh/I2Ore72rlsxHmQLQwp1INOwtyP9gwaH4xL5JDZlyULKCJRNw3JVhVx3APSEV68W9Ow1SuccX0C4ZmdK6L7RYn4sG6mRfJZ9UxW+hSTD5nYG2iy6XFBd6cl+IxNI01itCUsmGsUZ5lEK/EdzXqSGOKE3XKjegFKh1D08D7aFGSulvXZkQexRydxm0oLsvP4vkoHXfxxZXfnJAQ3IYdBRX9YFql/2ErDtMfTIu3jGhahixyWukruvAOzwX8+/AkSJa+oi3FIRUH3tcyyrzi5uRUHYUPq2ReTwpu51Vg0Z34V35zQjXshO+KBU2yA4W918L3+eUffZIHVjqu/47LRcn8CU074ptk/gelecZNFLeVvbb8PLF+lwRICTLvf3TAEWIakf1s8FQfQnEanHVkUmw+yIKoNqnlxHoiXHUcftF1jYuSZ8LcqMiII56k4KymPGrZt3GjILkmkd5VD8izvFYLkOfkEg/IzgVl/2a9Cs046sW/OS0dcXoTjHs5CV/yFd3kaHZNvZYtXg8y3kPTOJx5XsImzaRpZkmwuxoZdaQLTQO5ebkowYB1n42gi6yxheblohr8xV6RLDA0iuZvXwGLL2lT0UFsbvW7oNcPTWlvhk5VpTGOZB0azIk95MUJTnDWEXJXybxLHiK1i56S9D9shclTdz4pJWrcBh11aAq/j2bk4V/uERN4aMoRCQLxskR+mhdxsI+MOOIR+Ld//ZpIICo+mhQiT+1+mPLW1YMIVLcXlCBOKSp73VTalYbtwKLWe2t5VvDttMgdUgdxgCwdw3fitXHoVkoJ6pieHvOVrEjFmOztK+hnRJsMOanxXNDdzdu665qFBj3ZaYn/xVe0BTTAYrR2vyXFc2gGmw0JLeTeey3Xo0Pds+Q/aImacQMHM0prBn+xVxCN7FB7LVd6xqTt8jNu16+mDRMfr23JpK5hJ9Kfaz8bEcoMAxMre7UJ+LwjHP+q47YgRL/xgz757quOYpIUnnQTenlw8y9pk6k+XFFCxsRiUplK5qEHj4w6aucPT0i3noGe1Ye1LE/nhlQftuU9lWmCNss2fz4kpJ/grItiZX5KTZslkwoWuCxgSLlbX5NWNW2uIdS8gq7zn1/lZxyZ6gQythS25iUU75zy+fOuB4oGbWYnTP3qG+hAvz8jWSvEFVPmaF60JD3b82oGXfdXM6riJJ4JTuUo+wimUQAxt4fY5NhpHDAbt0Gax8M6C9zAIp4jkqeYgxI/gkkDgSCUm5E6aF4FvpayFh5glVISPvnkcQAQCXq7bhSE9kafAH0hzFNhocb1mZp64xp8Mql2S/DJK9PP6aOp+GgSBm49IY1/PIEp5HFbdX3VJVhzNqiYeVF9yBaoSNPWvGraiuBChnqaD7Jq9Je7lP/1BfXkcQAepjOuj864hwkGGwaksZWfddHRDd8+LwWqUgpZMNqT4nkV+wZzYSr63BRx5kexkPYso+NPqVvtPjSaiKrd8uUp2Q/FtzDuYubr9sAjUb+rKGQ0ZqR4li0Jf33l9zXqP//961IIhd+dFdKer4AGlHEnp5q+MyyToebPh9Ta7w5K0rivAH9Z/IgtU/r4ERT49IglvjUuXrWaNo2NnnH3u6rjtkhHwxOO4HHjR3RD7HZemS8viWSp72ftUqj7c/jHc8ESL+TGyLjI8ygtS7Vb8muSne6eyPeKVLNAVuOyz7hrcaodZwvjhgtSEfjN22mAKlqyQr3ifuNZtiQrijJBXxEFbWQERR9N+wwHrejDdyiKhtyqBOtZXqsFyHNysQDxj2WFyc3qv3a/JWbs2n0wu5kvg2jRuK0gpCRu4P4lHBBrDmiJgg63Ck07Qn8xLxVV5P0ZMT/7X18QOgdTc0sWbAkeowm0og8Lb8VJdIGpj11fNy/JxPW7i8q4k1Oel2AWF1O9NjczbKx+N0bklC/R+PjkcUD5itgoqFHdkHRH0jVtKE6Y4xGacSQLhebs6sP4eVMHsbhV9NkSSLbhe2fRmdK5HzTl+nT3zbxoyZQj8OY8umjn3ZRZLoZEBRJ5SElUvAfymbJhR338T2XycxEBmeyw1PovBuRQHp50O4eBDA5ald+ckK42u+jhCd0d1lACpnKHJ1ykac0BHBpTn46qDdWz0qUrP6unK+ccmTAEZ93DKbvpvJc0MzIXgAZFHl6Hf7kH2uYOS5Kx6X9o+PZ5CfES+dCMS99iAbtmw5KYPuM9IBSRquK1XGM/D7SRUfhsEt8adwMh7+Wwmc+4hJzgHIzbkRHdMbuVF0lGxUeTQElqs370HDbcZCcmC9Q+hycc0bt7LVsS1o3rBUFae16yJMsikMUzRpxv9JwjacycCLHDzn/PIo2dx7Xrlp7q6sY/npDpW9OWvEuVOa0lV+PwaYUnHCmGmKlRfsaRfI9gGu8Qu/ANO0Au8rykPTqnIXWo3wWOv3ENk6b/qgCpPoR1JbBoSzHChGw+S6TYlczrMLq7kK/RBG3cKMjnvPO7eskIKB1zhOQVHcCUYNuX/VLItv9tj0wbGPDJ4p869/IzKJ5q96NbzNT68KQj5CxOfIJzOGwTf10yj+elbNhFpVYfQiOBplkWDMTE1u/GdKFxe0GyisxXsgIoIMCD0zi+08E5R5DBzNYwL6OIY45N2QfTquq4LdK4xm0FHDQ1fjnZgayWqqOYMJaOYbrHyVLdHhTBbC5QFkU/WP1uYLSDs/g18R7ke3gtEOyqD+HgmuwEibD6kK3+8C/whJSfga+LPhsejHlo9Vq2SPGqD9lqY3BE1inS1egP+Pmf/lolOy2hLKU+HVVVR7EPUHbW9VUXyHE6v4OZQ4RmNL+YFy9d+VlHNX8+pCp7bbXzhycwdZ7Gd0HCHnHwlAob10BQDE9AjkrTed2eorzndZ+NuPKtEQf7SB73lBkfwTlIMDd876xIqY37Syr4dlo+k+eCJUbqqmO2TCbMi+5Ee+UEJHXQUj0/PSzkLaaeD/zdPqFhcZJLolxlL9Yq81JRrf9iQFWcxEH/R3/0ojjXU1TifCMjbkJ5+Vk8D8T8s4hJdONzN26HLLBub1HCjcOT+P6bN+WEashQRYY3kppGdDwnqSXzeA8ZDpk6aElAY7wHtDZKdRkyS9pe+NHIagHyDK/VAuQ5uViAeGdBYaG+kiZNnw5jWv/FgDLu5ERXTpN5ssMSPGlkBN1Vz6sZley0BJHJzZILV3gSvzbe4x4+aWomrz4453ZC2GVt/nxIRrieZRxAA1lswtTgBtOOTEuMuznB3UZGNOu9gGmDfwkLcaodaenJDkuQhUS8Uq/Nq6U1KzhfolDJWffawGqWvJVWiW5sLqFpbEAVJ21h6Bu385LsS9kZOy5hzTGPfTgFX4lOWOehsfwMZFil464JksVU/AgmFkzE9ue1DG6FrrvyhC0dLHY7wxPYIM3LRZGQVJ5AgcKxc2sz8i3oRTHugHJTu9+Sws5rYePioZY0MUrZiJP06+It3mOrltYsNt5+fDff+EGfSrWjSGICsuclbJqJrhXGTG2apvwo1o/7wU7iSnM7E3OZOB4ZcScGyQ5LyGGeZUsF306DMnXBcuVfWVt085xMmQ8AbKDhlDQg8wo25eCcG64XyAC+QOxu7DQOQZ6HGfFSMBOEEx1u7AwErT7kHj65MTOErrIXP/uajTmZVjHUseKkLe9BMI3NlgcC80FWwrfe/Mc4CvXrKJzrdxUFu9y8CaQp8xLeYeNuTrW0ZjEVveG+96EpV2bFEMbg22l4drTEgx3K6CCmMgK6sC0x6pK68+cXD37NL+bFmxQ950hwpXET8pHQlJZSjOK9JDHOc8GS76X8rEvQSXTbT0lj4h9PgHz26ahkE/X89LBKdqIoXbt+SSarJQvQtftztuSPUAoZnsDzwclQoguFIiVppHc1bcmrDd87KyhQhp2Zr2TdiZamFpHwV7e3KBI6yvSUUoK8Tnbg8GncycEsr2VeDTsLqmkLCHLrGhexLmX1BFZ71CKjMNzTWJ7owuHVuFYQYlGqHUVSw46Cqt/lyqxqDqCobGnNindkXf2CpNKXDeFnKBvC3xE/YkuThUAD40ZBhd6ZU7F+F0YSO+0Wl8kOS43//U6Yhj+aRPL2pItmTR3E2sCE+GDaUetr0iJjVUpB7vnykjJu5wX5a9zKq5K30ni/rxSlCVU67oi8bO065NdERnFfAhncu8Ai1qZ4D95PXwF/F/2Pxu28INJ9RU1f0/tHeBLvYJ3OPfE+WsSE43pB3fldPXw00/g1pFEFssiHMm7mJXWdUJGur7pECulfwjTNuF5QG1Jp9c4fKrHm6NA/rt/BtDbB69wfXpuMAUFNl47jeWZIL/HjXst2i+cryHGqOOlKBCu/OSFS18AiipOyIUf8frX7QFlj3kyyE8VX47aCoKQJL6k+jCKJaF3zAfwyRCITDMPmXqodDU/jWkE17HSL4Uf/mHgK6hGacTOPWtdm4L/TTUvjRkEM+IEMZIcVfbaq2Tq/WoA8w2u1AHlOLhYgvsmMSnTbom1OdKEjTi1z/AgO+utr0iIdYRf5p38yJFU3ek6HHj3IIp9AGwzrdxWFY06ySaLbFiO518EIONVuCXVlfU1atbRkMb7XB+DwBJJuqQlnYnv1IVv44fQEsFtPOQKN9bF+90BQt7conHjzKjpVrU0w03G6wis0gy7Zl3/0ARt6JyfjY+rYq47aEpLntTSq08FnDaZdRCsP/74CuuytaxEsSM01u4a1+0BOIUo4mMbhoWxId2SX4a+o/WxEOq6xft0F14ZU76NFdL1vFATLWdkLOQ91u8yeIGmIGSHeR2C0U9LG4iE84QZSxk454m1o+s6wm6KuJ2llw3guvK+B/1/5zQlMrfQ9oHa8/KwGHJzWBJIuWyZuyU5LAsRqDuhArlcz0lVjp53SK3YozZfdLBh6QVZKp8wrOlX+mM7s0GFblKKsXb8kcpOwRl0yEC005aiN0UkpmoknLR1zhEJTOu5IF5vSRKVwWCSeODTliHyQKdyceEUHcaAuP6MLcB1wyZA4Tr1IqQtkbbkn/jfmVfOLoMGJ52RZh1BqTGXVcVfmluywRI9PRKxxKy+ZNvS+EMNL8IE/j+fF61hiiDduFIBx3YsCmThZ43pBdOwsMo2beUmhrz6E9/LPr5WI65K30sr7WkZCT1PtlrwjlJBGz7lyP/MipFFlQyhIyoYd8YX5Hi2q5k05deirbsietBwtOoDmC70MlIcRAVu3F9OO6KCbPUGUp3Err07/3QF0dc/o1PIpvAuc6nlezcD/pgsOduKDs9pEPOeI/IowC3rvYqdxkFrXuCiTTaUUaEQWJhoEaHgtPI/Nm3L4nnQ4Z8VJ252UnMPUw7NsqRcqgb3ms7t23ZLsAQwnTXYih4L5SwwYrThpC+wjeg5rUkWfltu9MY/utZ7emFchQyo/g3efgahM5aa/gb6Wuj2gNDHkseHb59W2L/tVa3MG8sNTrqF+5btBuENLa1al2nGfOK0MvDkv/idCAow7OeV5mJHCqmwIU7rIKJ49z8OM7DmJLqyLDO3lQda4ife9pTUrKHc2QEguKx3DutD7sw7I/k450gj7/b98TcX6Xfy8eQnvZ9kH05As6y48mwD+PJ5xzzL8esyVSrXj/V1Xv6D8b8xL8UL4Cp/l0DS+g7Ih5ykENvcE/jom2lcdt9WLf3MaGVa9uG80wnMyzikUpWVr1y9JWKEkx+smB72e9JX4c7YANmiqZ6Bw1VEUi5ERFO/0gLJpmey0VP3uojQhI6Na5rqEdYVNCGaRlI450owk4jrRhcmScaOAhHW9p5a+NyvxAtEjqyb0Z3mtFiDPycUC5Be//n9AQlmEsdlzAQun+TIO++z0B7K2bMaJLiwUdZ+NyObCrhq7Q2VDOHhW9GEMmuiCwda8UhTzuoTTDWGRMe7DQEySDL0k9bu0sW97AZ1Y7XMILKLzWNOGnyXRjUJHcku0MZeHcgb3MVuk/KybEp46aIlOlP4CXkLO0H4IBtixAGEXibSjJ48DqnTMTT5v/eIcgufyrnckdRAdePLIqb1v2IGNhQVI2TDMhV4HY2LiaINpR6YODOOKDjiCNfUv6cPpIorAquPwy5ivZGGk1pkKNQfcPInwJO539SFsyCx2zMtF8f9wk40fwT0yrmNSxBTm0393AHStLpeuEzuNQ6H5IKvMB1lBvVKDzkKHHTYiS+mrYUdPzMJaO85OHkM0aQyvOmpLDkf1YfdwS5Oh5yU8U7F+15Cb6NKHED1V4PQq1W4JwYedtKYtICgZNwEPqDquTdmdbphWyYL2VLyWEemcUkp+TlKvEt22dMpZ6FGCVbuvKLr9QFbrq9+YBxFGo6zpv6BMsLLXncAR4UxfUbITh5VkBw69azbmVOQ8JFI8sBvXCrJBM0yQ5unGbejQlizYcsAMTTlyaDMfZCXNvmFnQVV8NAm9dVFPZO7klHm1KD9v4M156cgmuvD7//wKplGIFX/9ArDZOiyQSE9fHt3VDck5mRYF0468xytJU74iDk00nxvXCyLnIaKZEyrmBvHQ2Lgd97ziJPDDVcfRFaUckL4Z4xrMuzzslI47kh5ddQwTDkrUfEVb7f/xMcHlcuLZuB0TKX/e1f3TwyFykBUSLOMGQBYl84504c1LKHRjpxxZI+k/adqcF8JWdNARwhPNukSP0h8WO6WlYkOO2vj9M/A56c475YpVx2wpJKoPo3DwWi56lkVHww7cn9JxNCjWrkfAH713JIp5LRc/zJDFkgVbQkybtuZV6J05hALqHJTgHNYNr619M69kJcNIKSWADuM2Pn/VcVskk5RHmVeK4rHhM2vcywkhj2nf5qWi+K8CGVv2FBLPKLvy52xprtXtLUrzZcP3zgIJP4hJpfnyktry5SnltWz1zh8qZVKWarcwtbkBX96GVPopeiOLrqpjGvIxCPws09aj5xx18bct8CedcqSgevI4oOzfrIe3LeuiipVSeMc16a3mgCW0ubIhRyW+Na48DzPiifLn0ERjDkf8iC2UsLrPRgQYYdzJwQulAwXLhtzih7koJQu2+vifykQGKoVIzpZniXh55qWEphyhXhLjHh3QWVdjeN4Ci5BvE/tOYAmJcNWH9QRLP8fmRUsM+MwGKxvCz+EfWzWhP8trtQB5Ti4WILGuDDrfM+j8R89h0aMkiSmvNOwxd4Kj+tAM9OO1+7ExMLOCGn8ywokUpCmVwX7MyR/liSMAACAASURBVFiJp6We1Je35eDNDrM/hy5isgPmbkqGeDiLnYZO/8njgBQFZcMYvfuK6P4xFIqfu7VpUWQXxo2CdER4MY2WpraKk7Zsely4njwOwJDahgM9ZUIkfDAcqnE7jOgNO3HIID8/dRAdo5YWSDA4KUh26MVwDt8FM1eMeznZUHx53MOSeRw2SHMKTzpi0mOGC6cdwbfTwr6n76T46xdUyVtpFCs2FmB2+HwFaHdJhoofwZ/btDWvlFKSgRKecKRDHZrGZljThoNJ86ac8j5aFOyq9zWE3DVtzYvMJDyBTja7b/EjLmqybm9RihOaT0nEMV+Gv8O4XpCOfckCDsj0s9AXUTKP5zOY1t38qyjswhOaptNtP4VApmmV6bj1u6FFNl9egqxOB1yFZrTxWVOtGrdjEhMddESqRkkHu2rsFKYOWk/JHoJpR/wUVUdtyTEhrCD+8YTIAiPvz0gnb6WZkgfp0jH8Ga3NGVVzwJJQMoICeN/Dk44YMok4Dc1oaMDNvGr6zrB07imHEt/F7bwybiGIlNISGr55rxPfGlcbv39GGdegob/3u1oxj/Pn/POLWv9kp6XMy2hexI8gVyA0jYNNZAT+nli/I5hcUupojKcMyLyC786fswWFXDaEyVVwFs8PsaUMvSxZsCVlvX5XUTV9ZxiHYz19ZeeZIIf4EVsmT7X7MbWq31VEI2XEkVyIio8mYUrW3dnICCR0+398TNLVmaUUmsY7y1wO4x5kKkohp8i4jk6y99GiMu7llPe1jAq/OytG98CiphU5yOPYEJ9VdXuLKv7xhATgseAvGwKOtuqYu+YbN/PyXXHqET+Cn4vZIZRUVXw0Cb/L5rxILeM9OsPhJJ4vr+VKKmlap4n+hcpp3E8tjQtP4nto3pQTqRlhJ/QflI7j71j/xQAS0TVF6cnjgDJu4T55Xs1I6CGbCclPxpRxoyAy1TUbUXB4bUtwwpSDMdiSh1gehOmBJJqaUjPed3pYQtPAgkfOO/JucBIcGXXDJwmkYKhrcBZ+pMoT2IOI7eafuWbDEkAe5x2RSya6bMmh4Z9ffcgW32PkPPZgz8OMqAp4eR0UN56H2Ge5tjMLjLlcpWNoTrFQZQ4XqYMl825uU/lZ+CqjH0xLlojngiXeGBa+0QF34hsd0GZ8DYBJdGkZdU6bwnWzMTLiSCgtJyCk2YUnAN3wFbHGMnnduJNTqXZLJjhEXIcnHPGG0GdXNoRm5obknCpbpWA902u1AHlOLhYgwUFInRiKlui2heAUmsLCwSwHGmAjIzpk6RI21bJh7YXQBYNn2ZJOXWWvzk3QC2pLC/wUTDBnngeNhMG0I4fRZCdSYMPvzsKk2Q3ZSbwHWE9fwZa/PzrojrIZXkfcInXc7DCySKAUIpB1FyV/3tVv86o5gAR3z0uWbG4SwLgCc7mucVEWNYYjkvC1EgVIoz5NrGT3N7+Yl/vGQ3fsNA4NyU7IZJpfxPdETnx40lHv/SGGLt4sNvP4EXROzStF9eRxQD38fVK1tGbd0LGzLkXJ8zCDTvCHU4J1jQ44stHw18X6HUmG9r++IF6S6kM4WNNvUH4GxVP9LsALaAKn3r95U07kVIGsLRpjHvrX16TRKX8ZSE9+ztp90MRzEpHshCE22YmOZmQE97FxW0FtDI5AkjfrTnWi59zQKq9jiSSFciHes9C0NhprelXpmCMmXPpKGCTHyUBwDh1NGoW9jxYxJdBhhaXvzar9Pz6G+3RbJ7Ift6UbGZ7Q0gpNQzKuFYS7b16CsZe+idRBvH+xflfCFnw7LTkV7L4/eRyA12Br3jWl61wCyks4QfI6eF+JxuX0zJe3xZTc/GJeCmESZKLn3KKO9zTZiZ+jaUteEN4k8viX8Ozz8Bnvwd9hXi3+xTvHi4XnSpwmwQvxHlsOzgQcMD+I33d0wBFDanDOnTQx0I3p5oO/2KuqD2O6wcNL5DxkVSKx0p1h8xIyPHhvK/ogfyI5iFPIyHlMmRq3F6TTHhl11Pjf74Q5f2dBJqXVh12aHg3z5tWi6Nyj53Ty+AjuNzvTSinV/CIkKcT+0kOV6MYhsKUlq1IHLbXhe2dVqt0StGl0EEXy/h8fwwHw/hKKr3fmVOk4fj6vbT0lU+H72Li9INMur4MJVqILEwXS6/x5gDeCafzZ9C9R+sppq+eCJQnhTVvykBxN49758yic/Xkt8dLJ87F+HFTpBeDkjpMWyuQ8L2GdUEop8+UlVbsPfi0So0rHtETuKuRh9PdR/hZMA7Xe0ppVTx4H4PvQWUE1bZZMX+m5ERSw/qwMgk18a1wyXMqGMbWJnsNa3LCjgMDdI7b6yZ9MNNryeG8IWag6rv1weu899FW3hN5yQmDczkuTiRLN//z3r4vfofowGkYsIuM9tur9WYcQ2nh5bUyPaM7f+cMTKrCIiQppkuVnUGCyEGPRFHpnTtV9NiLJ4cG307KfEcbQsAO+In5HpLSZl0FB8xXdvBOqAXwFSK7oO2JOj09nkBjXQDKkN7DmgKVq9c9Ruw9r8pqNuacKaM+rGSG4RUbxszI4t3Qc+1yqHZLripPa93pzNQn9WV6rBchzcrEASW1bEDlTMO0Sa4z7S0I3IXGi6qgOiruAzn397qJQk9gpoymYI1VKX+jXCGSwCHstW+QyFR9Nwiz++gLCzPQh0LiBn6VhB6YS7MzX7SkKKrZuT1EC6niIathZkMOzcRPmS0qJeBgj+tXzEg5Lfi254CFgJZGHng12fYJpyKJCU46kqXP6wC5gotsdy1MaleiyxejORY4JwUQDf++PAaGssLMVWLSFOEa0a9VxW21IzqnG7cgvadyGoiv5yRgKLguHu3WNi/LZQlM4RFGHz5RYUseqjusE7X63e8zxOCcr5MIHZ3EYD2SwcTGsjuZ7GqGbtuZRXJzH5yX+uPIEPCFM5q06CtN2vMeWrAKa8wNZbBZr1y2pZCc6yhUn0ZXkIYiY2JYW6LaJpeQBj88pP3vdXnShmzbDh0CzLDMJKF0KzeigvzEc2FLtLmlLDo5LbkBkzQHIu1IHUTByysOgLxrzowPohop3RYfCmVfQUWxtxqSldh9ILP435rGpagkJPUOR92dkSla3pyjFEicBPLT635iHTl8fSmnYp39GDjijLvJyfU1alb43K5KG6sN4pmv3ozvM0D+G1SW60aFt2prHe6cN+vxcFX2YojGEsOHb51XstIt69Vz4SwqWcTMvBJ3gnCMSUeNWXpLEfTqToWEHwukoK+L0jBKVyhNAmxrXsZ7UfjaCxGU90eF9aNqMZ9Z8kJWCt+KjSWVeRDe6+cW82lg2oVpaslIcei3IvTi1NK8WxfvCfAy+H8TbRgd1gNq0O0GgNJLv5EqMMiVADF+L9aMASXaiuVK7ryhmXPqByoa1d0NnMxDMEH531iV16cKexWbTZnT+qw/bQhZq3I7v1VewZRoeyNhymAxNAUdbNoQJn3E3J+8wMzw8L1mSsUPfQPkZ128S63e786FpSHjCk/oeTWF/iIw4cr/q9iLbpmEH1kv6ZPhdkizGd4/PEtc+fx4NA0r2mjbnJf+hbEg3Q27hOadE1LgDLx+764ku9xBPIqR5EZOd3p91uPudbUniN6dyxM9yvRXQyyQO1Fw7SsccV6K6Dz9vdBDp4Dw8G3cRnll9WCOEj6LBVXMAQbecCEVGdDNHTwlqPxtB1s9Zt/hvacmq1qZFNEuuFUQOVn4Gz1/ykzHxhBHgEsjiWWnakpfwVjZZ4j22FH2eh/BABdNuonvJggupMK4X4OHS8AH6f7yPFgV7HVjEJIS5MRUn9YT/Mv67cX9J+R4tKvNBVm37sh/rsAPPZEUfmmAspFPtluxvwbTjNk163HeMXqjScUeFzq5OQJ7ltVqAPCeXTEDOabLN7TxkAruRMup7tIjR+FFsgk8eB1RlL/Tv7IIwGTfeY0sycMNOdMk3VM+qNRuWpONYfkbLNfIoSqKDOLgTSRiewGG+dh84/I3bC8CdTjuqdW1GDv9NW4DZ9b8xj9Tw2zjo+N+Yl45s7LSrHTXug2CS/GRM1e5DwRSacUQGwEkIqUeREWwqazYsyb2q/OYEMLwF3I/Up6OC663dV5QME4Yl1X02ApmaJlnxkFFxEosex9/JTkuMxyyY2PUhKaayF5v9usZF1f/zNlXx0aR68jggJneGKDGYienNzZtyas1GGCurD6MTGXhzHpkfWrtM4ygPXSz4aOLj4aFkwRYMa/VhW3IA2LlXSiF0TJvsjRswHFNKVH0YB2jPBXwP/HV8DtjVZm6BcSsvxK3WL87h0K67q5HzOIQyw6VxW8FN0c0DJMD0Yuroxb+kO5zm5aJ4N1gAGPdwsKg6jo48JTrsblJD78+5hC6O+9nxp9SkbMjNR6g4iXtMHXrZMOQZoRkcVjgx2/LlKUAMjqKwYOFWNuy4xnH934ioDCy60wWGZYZm8FwY95dQ5Azoz3c7L8VHIAMvggAKtN6dE0E+pwzk8ryaEQkNC3d6bPx5yH7Khh31h3/5GtaGabfb2boWeQueZRw+E11oSJB8lOi21cXftkDOcvwvTeiU27HAJGY1OuhiPJmkTaAFGxbhCcgLQzOYblb2upp9enVouI/34MBW+t6sMu7m5CDjX7IldM64VpDPFe+xJXBwZWhZRR9+JgZkhifRyScIoeaAJT4UylLLzzjqJ38ycRjSB//AIj4jkeckqzG81biXU8lOPFPMr2BmRGTUNebG+tGUqDqO4pDFXqIb3+ed39WLz8e8aEnzhtI/enbMl5dkrSx9bxbgBe2h8Dq60aLN0cFZR4L5wpO4P01bMEniBMR8kFWN2zGpCrw5r2raNPp3OzxG5stLckgnRCGYdgSkwGC42CkUl8kOS3JCKOcNT7iaf6WUyDdZwAfT2qegzdLmFZCZ+NwzZ6JhBxpo9btQVDZuK+B5e7SoWtdmpMFG+hn9IvEjtuwTxvWCYL4jI+6B1rxoSUYNTeNrvzuofEVbJi5M/y4/g3sVeX8GCd760BxMY6JJ+VDNAdfDQAgGpdUN3z6v4ke0ckA3ZNiI4rWStEYJtOch/IPJTkzC6O0oWcAaxT0ufgT7KLNGfI8WlXETsknzMoon+j05kefzYtzCGprswDpTecJ+qvjh3tb1VZcUkaEZ/G/TVkhfSadjYCWfC0qDY6dRzLBxk/p0VGTPzKDxFbAeE9tc04YmYaLbVtW7VnNAnuW1WoA8J9fKCUhlr3t4rDzhJuFSFhMZ0eQKndLMRd+84nZ6Q9Ou3jo454gMxftaRsVOoXPf/CJkGUTsVfba6sN/iqpP/qlUOneUVfgeLSrj/hIkA5oExNAoX9EWmpWv4JqMaULkn+219WZxtSidWFJ7XqiaAVFJ06yqD+tNcRukBeyaKaVEc+u5YKl1DQvg5K8IyGNQGw8UnocZ8RAQDdrw7fNCieLUhJtacE6TmjRi1+ugw2w+AFI1es5d6MmmT3TpMX/GFtNhaBobdfVhN62bYADjVl4Zd3PKpz9z9BwWZHaCCBEIT0APX3kCRUNwDhtXqh1dLvNyEez1KUdS55VS0jVMdNuSFxIddCTUigQreix8jxZV8pMx8c4kOyHHSHbigBbrxzNEqRfDFZMdlki6SLJhkGJNGwqUdfULavePekEXmkN3MDoA3n50ANM9HmC5iTZ9Z1h5HUsO4zzwsDNddQxSEJrIeehkYeBZhkwpOgjJYkUfJlTmJYSQra9DanX97qKk+foKuEfUwlf0aQSvA+M2ZSGR846w+r0OOqmel9B9ZKBcyQLeCR4WKdlLdCH0j+8O0dGJLl0EnsS9JmZ0Xf0CpFl6auB9LaOMe5A/lQ3hmWbgJqk05oOsQBaMa4Wng8iytpixg2nnqVC60LSblWHcgVTpz69Elw4+vI6DcXQQnW9/Djkm9buKIvGg5JHp7cY1YLoj5zWoQJN2fvHPX5f1rmlzXjI9kh2YDsT6Hfn5S8fxzjXsgMdCQhunXTIVO/osSJs35QSYwCC0VLv1lJmZstW6PUXV+sU5gBlO4/fX7oeMife5aUtespkqTtpiDBcC3ea8GKiz/+NFTF7u5MSTx3BL8yIAC+FJNJA4zbj3u1pZv8zLRVXyVlqlDuLQZdzJwQx90BKM8UoqGO8Ds1SYL7J2/ZKYx0kx46SwstedpNHfxFyKhh3ouAeyeKb9Szqz5yqaY8RL87usOm6LPJdrfNOWvAR3mlew9isFmahxoyDBuZFRTBGqjmmz/y2g0gm+iH88Abz5jCOBeJW9thSuLEKCs24xHh10xBtJ43LDDkz9JIzx/RnxEFYdRzHJxPOWViBmjZt5KRJWNgxqDuDP8T1aVH0/axdZKYtPhr6yYHnyOCAhoZUn8G748vg9G753FoXGPIpUXqRlsUinpJO+GfMSAB5eB/tC61rsd5UnXN9dcBaEtdr9+J5r2izJY+LPymIs1o+1pmFnQQr5+l2Y/MoUOgf5sXEL+R0kCYYnsd75c7asUaSGhSfcKTbzeTgxJ8nLa+MzcI2PjEAeZ15CwRGcdYlZnmVL/XVxYbUAeYbXagHynFwsQEJns25Yn+bmpw5CF+lf0obvT8aAHHy0iMmEPkQ2boOp2ryCRaxhZ0EyDGhO/Od//ZoY2BgkV9FnS1BWdAAklPC7sxJCFXpnTrj6xo0CulHXC6p2n+40ajZ67JSj/ve//5VkXXB0/f/9hylc+LBG9nKhTXS5Ka8ku3Cj9ryEDn0ga0t3USklpmsmaZtXi2rtuiU186vtQieh/j886aim7wxLvgg1paFpR/32X/5fVbe3KDQd4glTBy2R8CS6bHXnd/WQQUy7cpjwhJuQHh3E4SFyHveYk4H4EVvkJ8bdnOAfE93Y5EgV4aGicXtBQpuaX8yrZIfWZOuOd9VRWwzUkREc8LiBs/sUTKMAadwO+UtgEUVNxUeTOBBr9CclPMTrMteFRmKmXEcH3INy+Rn4J5g+7XnJkoNYcNaRVPPogB6ta58CA/oYNOcraL/NWTwLNKSTaMbcgMh5RzayZAekXqRZVZ6wJQeAIZPBt9PS0efzZl4uCuaZ30VlL/5+pZQUHwz6pHG+fldRfAllQ5j8RAfwThE5WjbkSOp25TcnUKjkXepbrF83C2xLJIM1ByzBBZcNOWpDKi3+BL5X7LiTBkYj+7pGJM9zAsYClcWv52FGRT+YFkLXSrxu1TFNP1u2JIMn8v6MHNJbmzOSo8LE75Uo0JXvnnG9IHki/J4oAYuM4rNXnHRlOsa9nOSjhGawbtUcsFD0j8HA7Vm25D2n52fNxpzo6St7NQlQS+IiozDRx3v0e9ptS4YRD0PJTkuS3jnJbH4xLzLW3T/qhTfmZl7w1sG0S/bi/S0dgzyPhz1iXytP2EKsquzFvVNKSaeX32PVcUjNOL1hcRaacSQoMDqAQokSNRqjzUtFQZgGMvh7OZ1KdsCzZ17GdKD9b3tAB2P206Aj+Gg2hViQUM7LyUqi21ZrvzsI7880ZFj+N+YhTdNYak7JKMOKDmrk9TFMbCv6XL+FL4/1mb6PZAeKkoqTCHdVSgkmnusWA/08D9EMGv3lLpFReR1L7vHF37Yo8+UlFG260VHTZsmExZ/HVKh0DH9mdMARgp3XhtQuOuCG75a+Nwv/U8EWqTFJYvLv7mOdNG4gsJAI57q9RWn8eB0L/sirRZn+sKHD56jquC2TmZ0/PKHiH0/Ar6Jx8eYDKCBYpCmlIOHSEwR6CpMdlkgNKcGmp8yXt11psJa2mRctkY/Fj2BvrDoGeERwDu+swCx0kRxMu9LBxu0FgbcEsmhYlQ3pTJEb2u+hm1PmA6CWOVkLTWtEti5eA4vuvU21Q8IZnnAR1SXz7rSfHp/IiCMwBWaAJDssFT61KsF6ltdqAfKcXCLBejgmoUlMB/da2Dj9OZ2foDGa/jwW89RBC51RfZCtObBCR6mTiquO2zJV2PnDEygYNI6RRrjoABaXyhPYPA591a28tiWdFM+yJSStquPobAXfTosZmOmlxs28mKuNG5iQkG7BYEF2aIlCXNewIPKPwJvz0omp31WErKvfPQxFB/SCdNJ+KhlaksUn3ELHv2RL9864m1Nr18F86Svaggnkz+rPuWZc5jGwMEsdtCS4sHTMDUwilSU86SZNRwdwiFj73UHp9hN9zK4QdfyRUUicmHLNDbxpc14kJf6cLZpe5r4Yt0A3YfHAFFyiU/1LIHgxoI9jcHboScUS6onOcQhPOkifvlFQO394QjwJDJqj1js0g/+l3IeBj768PvwOOMLKrz6su+qaqsKCjOGW1FTzEOzP4aBUOo5OIPHDoSlHEo+JPK48ARY+nwNOOFIHLZekpk2LoWncS0o6lFJyqCDJqnEbDh/Vh2w5WJuXikJV4s9CQzklB8FZnWmwiMKqbg9kEjUHLJFJVh11aTH+1xdEG0+ZCg9QnocZQdrSJEu5T/QcOtOUyURGHfHeVB9yU5Q9DzNAYXehi9u0OQ/p3esL4Orfzquenx5W5oOsHP4prSkdgyeh5sBfekCSnZZqaUFX2FfEAahuLwLjoucgZ6MMpeIk1hF/zlbf+EGfFFXUzAeyegKqJS+l781KsKBxJwd/lMYa07fF93T9FwPiP0h2av/KKZADSdap21MU6hoP+qFpPKvMlqndBxnPCxVTmHIM6nVT+6qIqOa/43SPBCgWEg07IFVSSqnQlCP5SqXjMJ3TnEyUaHgSz1H/z9vE7BuadlTbT45Ktk3pmPZoafoZp4zVh3FQZ8OCjY3wu7PSEKK3qmwYP3NLC/KgzAdZpGf3O2rwF3uVr2BLN51rEKey6X/Yin+vSVGkNtXvKgpxq+IkCprYaawHwTkc7KPnXJIYp2CUPia6cJ8q+nRo656ihIMSh8xOOPewsmG9x2g/B4sJXx7FXdkQpHWJblsw4bF+vNPmlaJgos2LlsAm4j1oBP2vf/tv8g7TG+S1dRaK9n0QcW4+yCIocVpP/nRxFD+C6eSTxwE0ogYcMbpzUv69PwZkPfc6mJxwD7jy2zXwSJ13J+q82MwgdKXyBJqNXJsZRkuvByEwlOglOy1Zl4jfrTqG74SfoXY/Jsapdvw59Hc1bc2jGTHtCHLeV7CFKkmJYfOmHPDN+vstHXckbyzR7UIlvLb1VOYMKZapT0exl8268saKkyikSLCjPDnVjsZcaNpRiX2rEqxnea0WIM/JxQKkehemGrFTQP2VDblpzM2bcuhOL9qC6iP3ntry0nFH+O21+zAm9zooIogx3PLlKVXZqw9ZelTL7h7NdXV7i5LG7Ctoao4+mHkfLYKCo7vk5Wfxd5V9MC0EDGYgMNSO3eq6PUUxxNfvxuSiZB5ekiePAyAVvY0kXOMWdKTsAvMqP4uOLXGsNAx+4wd9ciCj6bxhZ0G6KNSNJjugmd3wvbM4OGhzMA3dnmV0shi6RbN443bITpq25gU5WH3IliTdsmE3Ydy4AUSwcR2HbkqefAVbUmdJChv+5R4Ucv34/WSqe21LJBbxHty7QAadMKbdUnNP4zPJRdQ1M1fEn3NRrcR/MpMjdlof8N+ZQyfqxTzoNP3YsCkLCr0zp0reSgvOk+QpPnP0pxAZywMGTazBOTwL5itZSQ5mzgwN45UnsDmnDlqClCQ5p+Kku3EnO3CQWLMR+FOvg2lMIIvvonTcES9Q9INpvDf6v1Ffr5QSSlX8CMyxlMeEJx1h3ROv67lgSR4HPTgsGipPQMdNSp0/hwPPmg1LyFu5CmRt2QfTkv/hf31BQkZLx1xjdvyIixmlbM+zbKn+n7fByDyEw3TJgi3UGuNGQbDIlBb6SO6ZdRHKa9cvuSnJffh8LFwoX2H68X9FwaIfZWVTwvtoUXmWLTmEBzJ495u+M6xK3kq7a1XGlvtS2euG/AUWkc3DTjSnEM2bcnjOX19Qxp2cTJF4sK86jqIs0Y0ChqnZPPz6NVGLKdbpf9gqAayDv9iLAvheTvDR7LzSkF46hgIhdhprGulwDTvgjaIE0r9kizFeKVD6GFJHiADDCykbWle/II0KNpu8ltuo4TtdsmALtpXhl+alokAF1jUsyESKDSWGQW6onpXfXzqmgzP1QXZlbgQJhfRqJLpsARZwraKkt2wIhR3Xo+/9MSC6fjazogMaWT33dA4FP+fuH/UqpZQq01OlQBYAjLJhnY1xXk8UNBiFXXv+rL4inmMCD4KzyPdJdlriwYoOQKbE1PKSeXw/xs28TBxT7ZZ8P+Vn3ODX+t1FCW5lM4HZToRuJDtdCIiEm2r/GiWUJEil2i050FeewOQ4OqBxx8eQtUEPXWjKbajxSnZYgl8PTWPPW1e/gInCEXgcK06ikPQvYX+iPyY4h+/ds4zmEn2VNW1ozq1dtyTrmPjddBBsIIvnPdbvSBGV7LDECM4GgNeBdK9uj17j9GSEnqTKE7Z4UUsWdIDqDPanNRtzMkVlmnvsFIp2KhWY3cN3N3bKUSVvpdEA2LkqwXqW12oB8pxcK5PQaQgWROdVdGB5aIicd8QYx/H5hlQaAYWLurN/2pFOvyRSXy+opi3o2lIqUX7GcRN0decwkLUlJIqhbVx4g3OOmNXqd8EQy3F+aEZrfF/JCsqT5j8SZ5Kd6CRRS+t/fQESkLUIiJv51XYw/m+BhMW0ZoZ8KYXOGbXqngsokjwvuUFw7GiXzAOxWXFSm4R1CJavqOUcOuG44iQKJYaJJbpRJLDDWXMAXZ3W5oyYSekD8C/BUBwd0BvXnCttIAkrfgQI2dp9OCDGTuHeNW/KqaateZdYtmwhqXhjTpKGPRdQuKzZsITNcG9R5DsNOwrKvAQZnHnRkjRcpZSYbh/+PimTrXWNi5Kk7NPabFJaPC9ZMtWp6NPyudt5CbbzFbUed1dRAAHcGCr6NA9+ye1ux06haFuzYQkYX5107s9jU6Yvpu6zEcnIIBLWv+T6EOr24oBavxtSBx6cqA+u3YeQA1QWnAAAIABJREFUzOrDkIGwC1i73xJzNAsLvjPmpaJQZnh499qWyMGqjuH3RUZXGH+1BI1TiMbtkB3QF0Bjc+wUCri16+E7KT+DQtp8kJUwMXqjKEmIDqBbmOhGZ738LA5y5itZwQcz6Cx10BKDJ/1gzD0hMjr4dloZ93IicSPxjehPSsDMl5eUedFSrU2LMo3xvIRnmkn0f35VHcVhIpBxwQlVx7Ucx7FU38/aJRukps2SKWWy0y2m/a8vqPU1kMt5Hy3KO7Z2/ZKgp315W1KuPRfw3VT02RLm2Pz5kGBPAxkcYBPdKKSMGwXVujYjk4Zg2lEbo5NyuKEcK9FtS+5P7T4814REMNeC2RAMRy0/i8NP1TGsZ08eB1RwVq9rd3NKKaUS3W5iOBsK0UFHAliTnaBYURbb/PkQEs/H3NBMErTq9hRF/snPWzLvyDNRfRjfq3EvJ1PGqmN4rryvZaQooRfQv4TfxylieFJPYHXGiXEnp+JHbGB9z+PvKZl3pLjj56z4aFLkT/W7ihJ+K2hkbebmtHXNxpxkSjVtcbOKKOOTgvEIvnfzKoqc2n36z9UEKBYY3HP8OVvCHgWecRMYZP8b89IA2vvj4wCW6MM4PTBM/fa8mpFnLzStm19vp5/yyHG6XX3YlsM3gwtp5i95K41iRUtVzcuaRnc7L3Sp+McToLlN6gn/TUxIa9qsp7yXvPyvL0A+rH+G2v3wL/GgX9NmKd+jRTz71zWqeQQ/d9/P2gUWUDas17RjtvjI6Cfkc9Dz08PKs2xJLo1xfwl7wkeT4ouKnXJ9nZS+BRbRWIoO6NDad2dlmtXSmpXpKiWwpe/NKuOmu/cREMCihUAVQkoIACG9c0MKPjrf1GoS+rO8VguQ5+RiAfL1q3NC++HizCKBwTw8+Kyvm5dwKq8NjGXpuEahvpKVpGxJvH01g81wwEUsUi+9ckMKTzrqld/XgEhzA0z06AD+/Upa0Pf+GFBlwyge/DlXykNJAHWzzZtyKjTtCEHIuJ0XOkhoBp+TeFlq1cknLx2DJMXzMCP3qmFn4SkUX92eoshQaIJNdqLQMK4VnuK1E6dZux8bZ7LDkoUzdspNNOcmz859+RlHJCTy3/twmEt2aDRon6vd9yyjI9+4HSQrr4ODI7unzGowH2TFoLtS38/DXekYDjyN27H59v2sHYz56/j1xLeGJ3Boo3Y4fsSWLhzTis0HWeV9tKh8BVuQk5HzLmaU3UQx++o/k9hE8zIO+8b1gpjlPcs4GDM0r/qQLRKXhm+fV/W7kRlBKQDJKYEMDkhNW/Jq/RcDquSttMjESFoxrkPPHh1AoZnodkP8aKRuacnCUD3nyCHfV7DVti/7YSSdd9Sv/vmvZDJgXrQkjEspJV2/xu3w/5QNuVOsyl5bzfxqu8jx5ADR43pVmBptXMNmWbLgUpkIjlg5tWF6NMM/PRcsyUuoPIEDIE2eviLuhf+NeVW3pyjTobo9RZFeVB9CUFzDt88LPrR+t04Rv2Cp5s+HML15Cc0E40ZB3tOKk253llk4oRlHJmK+4l8WIPQtMY+i6jie+Yo+/c5fgzk82QlIBvXv5pWiyJdINApkIC2tPOHKO9mpXTk1LB13ZZ9MbGbxULe3CDPs7bxau25JivzIqA5lI3lJF1RVx2wJ36w+ZIuUk1MLppHT0M7DIdPHCZ0g5pgHK04IlFLK+xo8W8kOfFfNm3LqGz/oE0NwTRsO5xUfTUIuOolJtnEvJ/eA9KKSefw8wTQOiFyzooMo3qMD7mEw2WmJVDTRhaK9dr8l0kcGNLJAp1Qn8OY8Jht70TUnkbCy15YDZaxfyw435wWxG5x1my2cNlUdRYHBhgaL0apjKPz9ry+od/5QqZRSMgEVg3XBnR7zXaw5gEP1yjWDEwbzlazyXLDE59C4vSANNOMuJp5+jY+tOWDJmlZ+xkWvl5/RElr9TG/58pRa17goE0Ri4h/+Pgkpp6bp7f/xMWXcyamb/7MRk+IrKMJKx126YngCDRKqFBjgSMlRdNAtCiu/OYHMEP18+fPuu1d+xp3U+YpoRlX2woPSuA2Ya74nVcfdENyqYyiok53wj0XPOeJ3Mq4VxBPCw33tfqwXdXtc2iO9JzSgJzssUVsQ00twSKJL+6L63IZmww4QyohnZigjCWjRc26jdO26JdXSCmw7n2tmMFFxwDBEesQqD64WIM/yWi1AnpOLBUjtJuBrQ9Na63s7DwOkjQOjcQ0bd7LTEiQmMa1E5gXfTosEx7NsqfjHE8q4v6SatoJGEu/RkgsH5j12wclkrzngatKrD9lC6qk6jk2tpRV64tgpHKK5KNQcsNTG75+B7vcYwgkTXbbq/3mbJMGyc7sSoWlcK8hhMfzurOr/eZskhVf22hKgxItGTU5qYqcckRfFezBtqDqODa9syFEbI+NI4L1eQMjh+zPQvmq/QngCxnvPMg6avrwtvgwasaMfTKvIiCN+g+CsPjT2usF8K0MOaWav7IX+en1NWpkPsjJ9qd2Pz5fssAS3GvtwCp3vl0GMCc7pDpk2qVLyEevH31EyrwujrC2d5rq9KEBK3krjwL+AjZTpv+bLS3K/iWyuOoZDeNVx4BqNa5iUJTvRKTTu5GQTJfWGpJbkJ2OQXPW74V+xU27YHH1BYmx8Ow0ErzYnkh5k3Mqr+McTkrDLEEPiVWn25eQuPOkIHYaUG7/2NTGMjoVscM5Ng6fRmRv8mg1L8pmSnZbcC+P+ksAgOLWKnsP3wSI5fsSW0LnYaTwD5PFTXuNZxp9Zt6eojHs5ARgQ2WvchW+rfndRivKSebz78R68l+vqF5R50ZIN2PMQU0eflvRxuucr6knEo0Xlfc31n6yc5sT6UWhKJ1dnXdTugw7fvFoUORrNwisvHnTYVAhPavTxAd3R3Q1pIUNUzUvaG3Le9UbV7SnKIZahbsyJYSBmZAQFmk+bgSMjjqCJ2S2nobr1i3MyNWEhZdzOw59wpajW16SV52FGZGjlZ+AVovyu4qQrTyWJjyGS6xoXRfJFUzoP5DxQkvoUHdQFiGOp1uYMfAwHLQlbLT8DSR4JU1yf/UuuhDN+xJZ1vPqwLZKrQFYXpDp9vaUli/WjE9I3eoDKhiBHquizhVoX68d7T/xseNL1dFWesGXtogyG02w2X548DqgN8Vk0Vxbxs/rztkggq465BU/dnqJQCStP2NIcYpJ17MMpVXES75730SLocToHh5P/yHmdsXI7L9OvyIiGZEw5QimkuZkT3coTtvgNwxP4rLF+R6a+XN/5GVIHkUzOSXqsH5ML8yo+x+4f9cLwfhFySabWB+cwoSkdw1q1rhEELF9RI40vF5HLtasoXj8etP05W4p4TnrpbeDBuvowDvG8SBsMTzoykTDu5iSB3POSJTAUqhqYv8XJW0tLFk3KfUXB3XPiS79WstMSFQVpjySplb6HvB5mhnDa6svbgtH35bH/kV7HAremTRfGWjretDUve4NxKw9Vgg6i5JQxdgrPc91eNwyRTTvCT8ITjvKPr5rQn+W1WoA8J5dQsM5kocHtx2Gy7rMR6C5PuSE8xm3IMxhMFZ7EYkNyCnM+jGsFkU4RtUfSRWjaEQZ+/a6i4HUDGVvM7FXHbQk+qjlgyQiVEi/Pq5BNkRzCMXJ40pEOB7F5RCNS2vXkcUCFZhwxpHlfg7yJGxAPS55lLF5kxyulVGgaC+2P/uhFt+sGyFHmK1lJlaZ/xFe0RTtNozS7i5QTNG3OSxeUhw3jlps0bV7FISr4dhpygg0o5vxLbueN04rQDIoZprtXH9bmR41h7P1ZB+g+S7ZMlSKjLk2EoX7xI7ZbUGkDZCCLRZgTFE7JOK7mhEwppZo35YREwg6teQlyjqrjtpj8zYuYBBGTyVC22CkUW5xORUZdCQm9HKKd10SY2s9G5HAYGdFeindnxVBb2YtNpvys9h3YCPELTWuWvNaOc2LktXAg9j1aFOpJ1XFbJT8ZE+pLaMYRjwmpcAxFNO4vyaSPsg5/zhYAg1I4UAtO9B58TeziNW5DsV+yAFqMP4+Jgf+NeQnJCmRsKR7Kzzgq9emoSrWj821ewj+R8zrh/i66mMSI+oq2FCehaTxXpLoxCHPNxpx0mRlMaF7Eu9jatCheCspDmJyd7LQEGetZtiQ/guhVytbKhvEeGzchzWQifXTQeSoMjVfZEKYpnGpFBx2ZKPH/JnEp+sE0aFsjLhUpNOOIz6FsWPsSTrswhODbaZmqsWu8Mswves5dV2iyLnkrrWr3w4vCSSYhGYkuW34+emt8BTc0k1IqavwDiy41iU0GBhTGj0Dmx2lE6tNRpDy3WfK8KIWAPebu1O0tSm4K080r+nDIJ3whNIXDeuqgJbJEr4VfX33YljyayAjWg5J5fNdVx1E4Nex0qWQs3v1LKKLDE47Qhhp2wkRNeWNoGp+3fldRgk85OQ1N4f76irZMyGvaLEHbptqxpnhfy8iUk1Of8rNapjqK+0cCli/vrhdKKdXSCqkukbapdkvlfr0R8i3HUuvr5iWPSuSDM3oacR3TDuaoMAGcB2r+euNGQXK1gmn8vObVomQj0UMRfncWv+5eTtXvKqrEt8bx2bW/J37E3TcpEa4+jGIjNONOVpq24nkvHXdkPYv3oOlUsmBL84+5XcxNqtsDuRMDA8Pvzso7xyKOYayN2wqqcVsBvihtcvcVkLmU6HYlsUSJ07TOd6p+N6Z/pLcxS6l+V1FCdVPtlvgm/TnsceVn8B6UDaEo5bvIaQubN+LFebSIwvss1ru167AeB9OOFFAMay0bxueO9WtJoIaYUFrHdZl5V2x+xg6vTkCe5bVagDwnFwuQsmNZeBW0NpO8bJq2ycdmYq5nGYcy80pROulNmzFmbdiBoiB10J1ysINYdUwTo/5/9t4zuK7rvP7mZCZ1YmsmeTMjO8q5/V7g4uICF70QIAgSpCgWsYEgCbADbCgkAAIger39nMPem0SKpESJ6r3ZUmRJjm3ZI7nFtlLs2Jx/JnHivJnEeSfyfj+svZ4Dyk4m/3zhjIZnRhM7hoBbztl7P8+z1m/prkper8PYr1qTlYkFpwukQc1bnFINZTiIU/7kMZ1UV5pM2bnMPWhLgND8emx+vsemJCyJB5D8feiYEsFYuMuSDYchULyI/aMuu2g7Pi920Yxzafks2FHJGcLmwINLbKcm7ehFn5rewBQ2KeMUQtnyelEw+dI42OUMY3OteKUfSfWrMtK1dB82pRvnS1tygAmNoCipr4ur0IijKSa9yn9jSg6Z/oQlWGOiYUlCK2sGPaxuYVL0y+yM0ehPD8iqd3aD/b/T+RxibShmqFfmJImhkTx8FO1Axyz3qfHb6DDG+bTkEzCEkmFnVauzalFsTJCKxMlS11/agiKSmMVYqyVhXa6HkUxdsgWdN/oiyjaagn/Me2ZUZHz89+mFoOygrBlyQqbxkuxVvt6UQoKjfGJ4KbPJGcLhw3UZz1/5elO98HGebKbGqYwqfH5I8lwYnCjG4BPApRqXUsLqL9xtSSeYEgaSYEJjuK/CfbgHPNfiYvLkYWb+/ITkRQSmnEONZBHoLvqerzfDM6RNoL7HpqTQyHtmFFkqg7Z0/CuatAn52RF8H9PO1KpwN4pE1wkc0j59MfSttAX3IicrwQkcjGJtOjzxuWHluT6jCp4bFqlH4W6sOUS7MrtmYfmkCo4DjlHRhPuZcILSFnRH87uwLsXaHMxr4W5LuriU1xRt12GerZB+8pkq2eIYgok9ZXYLjdCbv7pNfGQSAklz+rB9m+k40q2f1UOQqfoemxJsMUPUKAl1HzHFa0BMN2UzXNtKN6HZsbBySuQxp75fK4c711HTCUtsxzMrU/GzaRW6OaHq3+yWaULxi4OCA/elIdlkgyXabosUN7LflhRsb9YSD8Ti/2cnKHAadhAaBd2qYC8OrNFOFPyU4NA74kvhEOq6klDlG0z1bz9zqbnLM1JMB8dtCdmLteJ9cQrtPmw6AXrbUbBUrQFpj2tF4S5Hupt70JaMIE7X69/sRkNHF1SU3ZZshneJTRZvGo20/C4nwbyiCb+Da7hxJqPGPlxxG4q4dgn8XNUrMzIRoLco2olCJ/D4pBRdS97qVO7DaAYQxODRDRXKmQm8qFmalnTz2QCIwueH4Gc5B6JcwR78LhZ7Hgv3xtwVGUkfdx0HdpjfoS9pqaZ32wA/6HakowSMlK9HAXK/t1e5TjoSrPwuh7BV2mLKmlbz2gEVeWZUXntlY1aaJB7blKKoeKuTEUaZMgt5qjQ4caFsOtbmSLjnLU4hN6nXCS9krlLuoK3+zLxrQr+T190C5DNysQDxDySwID85jrFjL7pxRMS6jyCVtHy9KbKXwl1YaHMP2k7wkj5M5x50xtnBcf27aPI9lRHDY2gEhzsuAFVrsmpxsF+69MaFlNCXmt5tU8Y5GH7nNSTFFF28Fd1p6oVdJ7NiuqV5LrYTkpGKJlN04aWbMGavWZoWoogvpc2BWuM7O5XZH0dHhji+yH6dMTHkdDGpwTUupJCmO6k7xww0O2hLh5sd69s465ugnf7kll95rsWh3d3jTAMq1mUloC/nyXHJHwiNYGOm5Ck0Ao8MX19Zs5YU9Gkz6068X9dRfB4ks+QM2SKzoymxrBkyHJqbRfJjYnOln0cppYpeGLoN7RvtACKVfiJq3WseSCvXCeiUIz3aRzFtyfi8ehWK2Nk+n4I9lngJ3IdM6ehyo+cBwHU8K+P0iibdEX12RCRIPDy4riQEVcyChIdAEqlyhjQSV2+wFeuy4kNhsRruwyF1XkMSn4UuBCkXqWgyJVWYHhD3I3EhrJRsseQ+YGK0+xAOF8FxLS/a7xTOxumMevDP90iX3j+DjmloDN9d+QZTJAjhPlukWdTksyCLPjui6t7owYF5HNOSwl04nNUsTSM8cL8GPYw4U4Zwvy2ZLDnDDiyC30f5BlNCM8s2mk6RG8f9sP+DdTARr8nifj+rEce7LemOf/qiDCna4RjqXSezos+nhpyUsmgnfg9T6N1HkApPGhsPXcw5Yj5RuM+h83EiGn56TLJMfElQtgqeG5b7kl3UqtUwgAcen1TBCVstyh9RxpmMmrcYGG6fPly6Hk6qqjVZYMHPZKR4Zqo0ixHe12y6uK+iWCRVr2g7cOic0lavhMG8fIOpCp4bVq4rCfmu6PGKdOP3Vq/CxC5nGAUH5Zv0+dGPUbDXmUy4jjqwBEIe2Fioe6NHckvoFfHPOBOXki26wDyeFToWO9rzGpJq6dsd8nwW7LVkmhjuQ6HtTeMASBli9at9qrRFS5s0YjnaoacEDyVlolFfh8kDCYi8l1wPJ1WFBlHU3p9S7iOmNE24B1Q2ZmX/okySRYf7sG4O6Wk6/Ye+NPaY2dIgXwpei9xBZ+JFCiJJfrMbVJxk+ONa9pfCM+WPa8mgln/lHdBeFe0DC/dBBpm/T2fknMNr53v75JZfza/XWRkZJ/fIOIXsJuMCgjN5ceLlS+L7+Mbf/JlyXU7Auzcr3Fbkq1qOXdHkpNaT5OVLYu2gj4wenFgr7iV6WAp3O1ALTvi53nMfCvehWKLU2JfCHhXtxL1C9HXNA2mRwQamnPdBT1vOkCPRzB3EWcWbAbqbRYs3o71C2qMpaN7GuxjeO3ndLUA+I9dsClbBXksqfhYRPr2Iuq/GpRBgt9SbsaQDU9GEBz+/yxaUaXAS3f+yZiyA3uszQsfxJyCf4Ri5sjErqNS8A1jc2NXkpsSgrGg7Nht2r+m7KNtoCnPfl3awt+ysBschkxLW/ogNhK7GQVY24uC66+stqmCPpUY+fFD01UopNW8xigoaExm+RBwxTbCxVktM+nULkrIxEk9L+U5piykbLFGoJVt0bobGXXJc7bqckJT33EHw2z3X4so4lxZMb3AScqfKxiw8F+fTIuWgN4RSq7qFSRjztjmkI2InmWthnM5Id80/o419+vDkT4BoUtoCVC2zG6pWgx7T+C46mTRmF+3AgSnvgC25HQwkZNqz+4iemNmmZDUwHI5j8IaicZju4w41KzSGsXjxVmz+zOYITjqHAG8a/44/ofXkT44r1+WEyDZY/OVovjxlNsyL4EGBYAXXCWjOqcsv3orDSdWaLDZzbWhlfgr/bkUTPqecJ8dlKlK1OivZM7yPY21OZzLSjXvVH9dG3nXY1JnkW77BVHVv9EhmCRPlGWZGvXuODtniZ0SKFClxruMgAC2KjanNX92mfI9NCTyBWMrC3XgOWYRFO2zJByrZYgndzZvWnofLyH9grkFeL4rzki2W5PVwqsSJaWj01yVYzALg50lJheso7t2CPZba/8E6MVOz88tnnRkqLDhjO7GmlG+Ad40NhPx9+Jna13sFs1y8FYc34xwmVnm9DmGP5lVKg4q3ocNdvTIjCd/EmXP66Z/R+UpJFPCu45DeeCxTij56W4xzaemmc83LGXKS5Y2zaWU8lFRKKUyrV2fluYn0wFsg+OFJW8IxK9ZlVUPZpBDNwgMowL2zpiNFLwyp6lf7JIeDh/hID4piopAJ0/An9BQ662QvMTPCuJCSA1xsJwpaHlJ9aax3NBUTgMI8JNKcvGl83oFpS4qqA99aq1a9s1u5D6H7XfbygAQXeq/PyH1Aj45SCjjVaQd/7L0+g2JnAAd4yomYU0IprMe0nIDK54dESkwZVn4XPEpMdHcfhlem6d02mQJy6kpTNbHJ3PPcV+OqfIOJSdIhx38VHrDVP/zdFyUItGyjKSQ1mrOrV2Wk4WKcyUhqPKf1xkVNqLs+4/juzmKaHHh8UhlnMuKTUQq0sOizIyI/Cj4x6UjOhp11j6h1Qihcxx1PWtF2Sy2snBI6Jn1W9TVolo18+KBMnBhITPQ090j/jSkAMRqztxE1S1swgTEupTDRSjsBqSwa6xZif8nv0qGvWo3BCQ1JbQxTzHtmVBmn0RQgaY4ScTb2Ij22ck/dlWDdyetuAfIZuViA5HQkhGTFXIma1w5I59p9SHfBNH7Vl4LWl0jb6LMjqqFsUrCiJCXRi1C+wVlwaag1zqVF+0zTWd4BdDdIOKL0i+ZzTj08piVBfBxfh8Z0CrjOMSBSlxOKso2mMOXpFaHkgR4Adomj7dp7MCuIsOiFIUmCD06ia08KT+0SaF+plZ+7HONsek5oWnQfhv/AeCiJvBPdCR37cIUUY/MWY0TPBHQavoPjkATF2iA1iHY6h8LCXZaYzX0pSHeYIcEAwRc+zlPBcehgg+O2ZLGUtuDwSf587kFnyuE6kVW+x6aEI08YAT0tHsuE3CapDZ7arOfN4BDiS1uC6fXP4PBDcy83hZxhhwpT0WQ6+Q26Q+bRB4QF1dMiraMRkim+3qzD6jdOgZa19O0OyCv0v1+5Fp1j6tsj+/FZuE5kbzM/0rBL02is1RJfTfE2HJY5EaRGOL/Ldpj8u/V716hneV5OQzKjlEK4m9785s9PIFG71ZLDU883G1VgGp8XUbKCzzyTEYRrzTJ07ZjqzDwc4xLSfaMds+g7egMNTOM/Mx0+OGmL7I+G9eAEpgTRdmzMNKYzc4XyNvq9GorG5TVw4kEPSP2b3ZL2TanOkrc6xYxsXEzJJIFEvE9fRTsskQJxUkfyHKcWxVtRCFW80i96c05EKa+gNyN/H94rpV/GaR2s14lDZM0DaRjwB3Hwiu20xP/kT+CgzzwJYkZ9j03J55z71LhqKJuEx0oTuvxxPS3uxjpashn3juso8io8tikNH05HiM4m+pnPU7QTB1f3I3HxzJS9PCB5CsVb8Z2VrzfFsF6zNC1TEXaAV72zG13wh5Lqk1t+oaMRW0q5m/uIM4n1z2gJUxLPw4K5MwKscB117mvXsaz4QoggDo47hET31bhgyGNtuP/9M9rMfzqDcMpZVCrv9RmAMjSeePnb7ZBiaT8i5T+cUhNXy4aJP441KjCNgz4lfPldOIwa5/C5scgr22jKGkrfGQEbHstUoZsTgpfN77LFlB3ux33sOgb/HbG/lFdVrwKylllD9K6FxiAXLtiDSdFs4AkP5VQSuI6jiCTKONxnC6Uxd1CHBeu1KdKD7+Av/sYAGl7LnMuasR+WbMYe8KMf33sbdp4eR6K/jYspaaAtfbtDVa/MiMTJP+NMjkgVyx1Ebta8xQBtGGcga6VMs3plRkJDmRm2ONCnCvZayvruQkw39Xni1t99QfJSOJX1pSyRpVLiSeM/seXRdjwnnPw++Od75PsMTuK+cp3MShGcvw/fQ94zo7KGlbY4vqP59RpisvVuAXInr7sFyGfkml2AUG9qnNFM9ZOQmxRtt8Q06zpqih4/3K/lOk9MSjey55uNGAufyYikiZrmqtVZ0Y8vfbsD2L9Hp6UwYSeO42Ff2pKuIA9yeQdswVbm9WJRJDO+cJclh3d2pjzXgNJt+NI+Qdi6r8bRhXmz2xnbXwBhibQMhlPV3p+Sz8p9BHIlTonyu7CR5w6iw8ckVuIAa5ekRWbCzJPAFAos9yOYOHH0XLRdS8ZuTmDUrAPteMjyJywhY7kPwwvCXAliVI1T6CZ/cssvEpT8fQ6qkgszD8zl67VRL+4csGlKZfFBolL1qoyYVtmlrF6VEWkHN3cJA9NemfnzEyhaEpba/hdbEGw2gc3AY5uCqGU6fMlmyIny9zlEFR4k87u0kVh30usWAgvJ0X9D2aTypjXDf4/OlNgOmVPPNxsd2ljGEnRsaNQWf1Bwwumq+1Lo0tLTRG8HMdPhAbzPhjJ0Dn1pp4CpWg1/UrRdd00fm5IcBfcRrUPXErh5DUn4ODRtiQfEiiYcSkMjeqqxE/dH0XZH9+wxcRD0Zi114nvzVGhU59rog0vJZkeiRq9C8TZ031ngMlsjttOSwMTgJO49ymXCT4+JGZ8yQKKjXUdRhOQM2WLyJ4iBXc/w02Oi/WbwnMfG9M91IqvmLU4JMpVFyaevmgfS8ELojqd/xnKMpRdS4lHnsdoUAAAgAElEQVQg6pWTP8q63I/EJUmZskbCInIHcSiaLcUp2mEJvrtoO+6xxV/uQmPjPLC0fEaNUxnV+rVNjgRUHzwpU+P3GJy0VevXNol3imspp2X0V4X7bPEDEXtuXAJAgmnn4X5bPfWjqFCRlFIwimvZW8FeTBdzBx3AA71ypDQx02NeQxLG6YspwcI2FI1LoGpoBK8t3G+rzV/dpl74OE/5UlhnuJ4urJySgFgxleuwS8JDjLNpKeijHbh/697okXuDfqnAFA6uxhlMdnMHdZf7OKa7lWuxjxTs0c+YZQq2tXAXpiWELVDKmDPsrOVsaOX12oJ0pQfIeCiJZkCbkwvBfCfCJFxHTfFX0dfkj0MOV9HkoK+r1mQh89Q+N07+/HEUvTUPgMBH2WPwiUmRTrJg96UsmYBEO225PwLTjpHbl8Q+SXiC51pcuY+YEgY6dzloZfSIkBRJ0hOxx5H92H94Bcexd8yvT6hPbvlVzQNoSHiuxUVpwOBf7t9FLwzBuN6Jz8tzLa4Kd1uqoXRCPoe8AygeuT9TSsrin6Z110k8Y9zrGUpYuNsSMA69cSR5+VKWhLa6D5vi2+T+6jrqpNozfJENquAk1m7KqN1HTARNtujv9KWD8gx6x+4WIHfyuluA/DdXIpFQJSUl6g//8A/Vn/zJn6gHH3xQff/737/tZ371q1+p8fFx9YUvfEH93u/9npo3b5769re/fdvP/PKXv1QdHR3qj//4j9Uf/MEfqOXLl6uf/OQnt/3Mz3/+c9XS0qI+//nPq89//vOqpaVF/dM//dP/+LWyACnYFFeRbo0sHXfMluyS0uTFTAWfNu25joGUseStTiF8cFT7yS2/JHa7TmZVzdK08ljAN0Z60EF1nUDgG3GzRDF6riFpvHJtVhYI17GsEJYi3Q7GL9amR+7MiDiCv+HNYqMjiz3w+KQECPLgQP0uPROhMT0h6XekXrzCT49hCnPAFllZaMwWUhQXfG8GmwJRltQpF70wJPIJX9pSiwpGRIed8+S45DZc/2GxhFzNXYHNj7hJIX1oWlPo5gTM/5rEU7kWhx96FAr2Ovpjf9w5lDP3YfGXu5RxKaU8Fj7X3KfGVfFWHEYq12ZlMuU6lkVAn9b00tztsXFIqV4F43BsJzZif9wSuQ2nGMbpjNBsfElsCJRqzF70SZkq3WRKURprsyQcsKzZFERtaMQhopRuQrFqnE8L+Sh/Hz5b3gPhfltSl92HTIcSdCajil8cxLRAH1opw/LYptCNIt06sfqZUTWvIYmOW4/mx+tuZ94zo6JbJimHqb08LLoP4d6oWIdDFQ+NpOjU3p8SDwIlZzRiug+ZkupesywtmnoSZXgwY9ow32O4D6+NwZiU1VQ0oeCqaMKUk8Zl8XvoFOuKV/rRzZ6BhM99CN1gXxL3i4SBDWsvzglIy6pf7QNFTD8HuYOOFKxkMw5jlOQFphyz8Owr2qHJRptMuRcpQfLYpiRk5x60pVAOjusDzzOjKrbTEp28P2EJ4ahwlyVZFCTRhQdsmVC5j+Ce8mZwOK5emZHsDr6W6lUZ1fClfULnCo06tL/y9ZiGlm9wkKXhfn1w2411x3goKXK6iibo2o1LeH/l6zH9qr0/JZJKXwrrqXEaMqO8XtxTnJLmDDk5FpQw8XvkvREas1Xi20uERJT6zmIVujkhhmNK9KrWIE/El8T6RSkew1CZHURiU7gfhWtFE/aJmmVpkbsFn5jEofwY1rH6mpnbEMPEK+fvwzNmnEvLdIiTH9fDSQF25Azbguj1ZvS68tiUqluYlOmHL4V703N9RvwN0XYtq+rBZxPtBJCDk+qiHVjveNinPKh6ZUbgJDlDDgo6vwvPVu6gpouNOkQ0Zo14TDzHHhOfI30rpS8dlNDP2vtT8E2exkSIoZv+BNZUTupjrdZtmSKU5xHIULLFks9VpkG6AKZXiTjgwl2Ypniz+M6N82l55pgk7zqG0EL3VeyPC+bOAOe93RKjOQl+wQkc6Iu3aRT6zQkncVyHehrn0kKX4+SD3i/jEqbzHhv7i38G3/v8+gSaQBrvy8gAZsAwE4XNLYYlktAZGrGFqhbbic+tYA+aQ4wCoFyYvsnC54dUfpctociuo4CTnPp+raqtHLlbgNzB624B8t9cixcvVpcuXVLf/va31be+9S21dOlSZRiG+td//Vf5mVQqpT73uc+pmzdvqo8++kg1NTWpL3zhC+pf/uVf5Gd2796t/vRP/1S99tpr6oMPPlDz589XBQUF6j//8z/lZ+6//34ViUTUu+++q959910ViUTUsmXL/sevlQVIpDUu8pGSzVgoYzstdeEvq5T3+owEQBkXU8q4mBJNvXE+LR17yiC812fE5EjNti+lswDS+P2UKjAzoPrVPtX0bpugK6tXZZTrcgLBfWuy0okLD9giBaD2PNaGwwHlUP4bU4JSrWgyhQtP4+alv6wQ8zC1nzycM4mYhvnZpjzST8JPj8nfK95qCRWGHpDC3SgMYm0w+rqvxkVmsGDujATAMfm6ZmlaVa5FF5zdWW8an6P7kbjw+CXsUaMVKT8h3tEft5BurHnuDHzjlMKbReGRM4zNtHSTZp93YnPwmNh4/XFLjHvsQvL38DV7TGw+HhOvlfrqcB8W/tAYiqG5K3Bgk6yBTsccHmtz0rHpm4ntRIe+Yl1WJgvMjRHM8qRDlwmN6JG59vDQAE0EL+VCLHipYWYnPbJfd0EvYHJW2QhkcMU6HJ6Lt+lsgjFbkJ+Va7Oq7OUB5c3g0FyzDDSggj2QJcphO2EJLci46EAJlFJiMHUfNoXgU7cwKchQaucL9kKrzf/uOoa/TTy1cQokMGZZeHQyMX0d/gRe/9wV8PMwiyI0oiccWr5EZC9JRXIIs2EyDo3gMMmDlfg/0o4fJzTmdGrLmiE1JDUrMG1J1z80oj0EV+NyqJCDlS6wPn25Hk6KnJKegqId+Juxndqj023Ld0LEa6QH90buQQcUQaIVPTWxnVqetQ3PTNUaNCgi3baYgMteHoDcShdw1L/n9dpySIy1Yc0p2YJChfSjqtVZyQOK9CAdnZAEMX7vx+F34FurpQBkAUWalzeDQyIBHszHoUzUdQzPmz+OAxsD2hi8SGoRgwM9FgpZyrU4IfHPWGph+SRMyN0ARlS+0i8QDnbRmYVT2uL42wjuIIo3PGBLDlBZM56/ykYntLFkC9Y5Fj30uHEvyBnWP5PWHpbnhlV4AGumLw35r+casOzN728X0zU9Px7LVPVvdou0SymFrBZtMI524j0zCyRHo8W5Zub12kIanF+fUKUtphxG87tsMTxzmsqDb2VjVl5/4PFJ0Oy0pM39SNyhqD01Lt4hyobmLYa5nySw/C4Nc9H0wmgH3j9zsoLj+L+Fux1sLddnfwLrZ7TdaRbm9dpCNwuNYc9hTs5s6ErRC0PK/UhcLX27QwUen5RnO++AlqNutVR9bVyKpdrXe6V5V7EuK0GtlY1ZIciRGEm/CCfdBXtwlmAo5eavbkNhOuH4nqKdeoJxOaFqX+8VqEHJZtyLzDkJjuM9cR3M68UzljNsyx7P6SehJq6j2GOCE/h3jUuY2hVvxdpctTqrXMezshbm7rmbA3Inr7sFyP/F9fd///dqzpw56q233lJKYfpx7733qlTKkff88pe/VPfcc486ffq0Ukqpf/7nf1a//du/rR599FH5mZ/+9Kfqt37rt9TLL7+slFLqu9/9rpozZ456//335Wfee+89NWfOnF+buPxXl5jQR+JOSM8lSBE4/XAdNVXOk+PSwS7ZbMlBjF1ikjny92FDpxyJQX3s9FNuwgMNN6xoBw4gVavBdg+NQXsdujmBROH9Tldk7nIsrMa5tFCVvGkcrom1DffjkFLWbKr/96eGGEXnLU6pC39ZBbPrzQk5APqS6HDz4Fa9MiOpxryCT0yqXV9vgTbVNlXDl/aJEbHw+SFMXlbhwE20ZM3SNDb3Pls2oYK9+FvM8yh7eQAFgsYk0tRO2Q0RgAwAoyk758lx5Uvi8/Nciwu5o2JdVqQMTLZmcUgToy9pSaBcwV7HtBd8YhJTqFFIyEq2QLLBQMCapZCVsavksRHO5E9g4/KlcHD95JZfDrj1tdBbl200JcOFeNRItxNMlTNkS2BiyRYtn+jEgSI0iu+dOurQGGQ1gSlbxumcOlGeMK8hKV1AGjTZbfRmLRnxe0wcOtmNDkzZ0m3koZeTo6o1WZH9UL7nPmJK0F9pCw52vsemVPkGnYNyMityGOr1a5bC0MwuH3NDqKsv24gOc3Bc07lGHAla5VqQlijbymEGzz5MHRdUT0sHmMZf67sLVaQbEy8GuvEZZCHAHKDqlRknLXvImYAwTI2FefWrfVIYMUCO95n7alxkWoFprCvFW3HvEZ5A86c/ju9k1Tu75Zn49NX0bpvozEs2w1dBX4w/4RibK5pAN4u1WTIhZcJ5wV7cO8b5tMizON3yacJY6SZ0OSPdmvq2z75Nfmiczqgf/fhemUotqJoGXee5YUFSV7/aJ5Sjks2WGKQX5Y8IGc6fwHpFRDARyZFu3C+VjVmZDtLA7EtasiaWbkLDgE0OpZQcLimTo1TPdVLf2+fTqnyDKXhs4wy8QsXbIF11XUHG04FvrRUwBQNfv/23X5QpX2BKN6NOZVReL2RZ+V22g8nNWtLYKNphCY6awaA5w1qOeBiHeNfJrMhCY62WoId9j02JtCfWiiKq4Uv71PRHS2U94cRk5MMH5e/H2pzmDPcW4yzWYaWQKcPXW7gLxZLrSkLkukwEj+zHNMI4k1EvfZyrAlO2kBQDU3gvlID6kngumU3CIpt5HcZFBCeWb0DBUF8Xl7Bd+gTLNzhNHuZoVa/MSG4NfSLG6YwUyAwclKZAu60aisZR1D4zKuh17nMMVIzs10jclwcw1byB9SpnyGm4lW10iJfMJWEYrHEOgZ6BKR3et8XxBXksFDSlLx2UdTHa7igH+DpKtlhS1NA35806Qbf5XbZMKhiQmjMEn0zhLjxXjAMg0EKyT6Zs2evCA7bQPGseSIvUkKoAaaQk8HfyevHZZL+zSOTWxVtRVBbu0kjtprsUrDt53S1A/i+uH/7wh2rOnDnqo48+Ukop9fHHH6s5c+aoDz744LafW7Fihdq8ebNSSqk33nhDzZkzR/385z+/7Wei0agaGxtTSil14cIFdc899/za37vnnnvUxYsXf+Nr+eUvf6l+8YtfyD8/+clP1Jw5c1T+trgQm7xpp/vqMXFgmLc4JV4F41IKBsgjkI0syh+RjpY3qxGN2gNS8Uo/FgGdO8AiZO5yYPLKN2AMXLkWZlXjQkoFptFVnq19ZXI3sb+uk1loch+dRu6HRmtSDkDKiv/GFA4QYzgs+m9MSTfMY1qymDMdnQjJ4q2WmL95xdoskWuFxhzpDw8AlClQnsWumHEGXSkmxL70ca7Dwp/AwSB3EIse07aLXxxUlWsh0cnvslXnB+uh2785ITI1/4z21uiCgJ4O0nO4SZQ141AV2+lsbq6Hkekxd3lGVb7SL6NtjtWJ3GR3m3kg7sMmsjoG8VqWvNWpvBn8TqWUvA9vVqdR699LzCRN7pWNWVVfMyOLu2zUF1LKfTWuvGl8fjxgklLjOgHKDw+9cgDfbEm33ZfSeSfjjg8m2qmxmmcyKvjEpKpcCypafc2M/E4eTJhLE5iyxdgebXcOAZR7FG/Fwc0/oyWBOiiRkqdIj3O48qVRWFSvhFStZIuT2E4gg8e01MI398vEJjiJAth9BFKlmgfSqvVrm1TNsrQUEfldtkyJcobgKWFWACeVxLnGduL+5YZOGQQPrcFxR5ZU2Qg5ExHWPAwHJ23RpvMAVrcgKX8/1mpJh5dFbskWS8LZSB7ymPjOgxO6s3kch3DmWHz6YmI2JaKUjrFzzQkfQy9DI85BnoUGARWhUdwLnmtxVb0SUwr6jBimxskqp3acENQuwRoTGsV7ZUHsSzu4Tt4b9H/kHbCFVMSmTukmU9UtQKFdvsGUApOSIk6MSBJ0H9ZNjVHcswXPDYsHj7I+15WEFDfU5QugQuvePx14aZxN35bmHXlmVEJYA9Mo+Kpf7VM5QzjkF+62pMgj3pl0OE51STmcX59QC6qmBQVc2QgJbdlG4FnZjOE0c1FsTGSvpCEyL4RABm/GEnQxaVL0CebvQwPBfcSURhQ9Y9zPlALQoKFoXLwPRdtxaCYAI7IfUsX6OsiA6T/jlMJ4KCnkRxLmOAEMPjGJ6flT4+iYxyERIqrZm8HnF23HfVC5NiuekLwDuK8pLc0ZQsPAdRSNLYZBsiCItmvgxMUU5LgaWkLZU2AK79k/A79OeAC/l+v53OUZSVgnrn42AILrRuDxSfFRUPZE4mL+Pkc6VdoCBDJhJq6T2JcobY50a0KVnmC7TiIEkcV+aNQWqSNpgtFO3OPEaVOCyO+gvi6OJo1WAfBe4FrORhIx0KFRrOehMbyGnGHn85g/PyHNPeYnEcBAOR0bjmXL7+aA3MnrbgHyP7x+9atfqeXLl6u5c+fK/+8rX/mKmjNnjvrpT39628+2tbWpRYsWKaWUunr1qvqd3/mdX/t9DQ0NaufOnUoppeLxuAoEAr/2M4FAQCUSid/4esbHx9WcOXN+7R8jPSOo0cJdTmdkXkNS0oqDE442OjQKI7nrZFblPDku8hAuAO5DGGMySJDEHuNSCpr70xkJ9PKl0M2qe6NHihV2hGm69MedkXLjuztV7ZK0dDS9WUtM2jnDWGAYBlbaYkqiMSkh3BBJEyrc5XRdmD9CCQPN1UopHHpvTqg8HYRUuwQTHAar5T0zCqmDxhwSf+iP4/BZuEvnQ6QskT3IYUXLSKKdji49fx8OOcaFlIyhmahdsxSBSu5D+LwL9li3oUWpUS7cjYWeoYWhmxPKe31GEtSJLyS1xWNaMrEp3oaDG3XOrhMohtjxE1qNTqhWSslrZ4ggWfeVa7NOF/+5YZg8j5gijSFJhaFmNUvTkkDusUzpAodG0VkL99siVTMupdC12uJkohD5y4KhYK9OTj+ELr5xOqOiz444RLVrcUHWcqzvvhoXMzmRmjST1i4BwY0J0Pn7nGTevGdGoS22MfHh/TivISmBjTRZkmZGuRTlav4ZHMpynxqH9r8dz1/1KicszmOb0sEvfnFQfoc3i3RifxyvLzQGHwzpL0XbLfm/NOOTrW+cySjfo9NC+ol2aBnOawecJsKQ83rLNppyyPWlnEN32csDIKjpnIWcIVDMeC8yG4BTKBKmOG369EVSWWjUSZyOtVpSOLkPmUKuinZgLWLwGUMzi7ZrDXirQ/UieS930NHwMz17QfW0yF4K9uKAGxq1ZXpKcl60w5Znm9p7rll7vt4shlmP6SDFi3bgeafUz33ElBwD41JKvfBxHn53uy3p0nNXZOTvLyyfVPV1cUEXK6WU51pcTOChMTwfzGsIjWgfyYUU5GMvDsLX9NoBtTjnoDLOpSUo0ZdCOGLuINZSauBXvbNbBaYtVV8XV8XbLGmKeK7PSAMk0gMplMfE4Zr7gVeve940ClYSjdgcCo47yfbGqYyz1+iwOt+j0yrc52RT+WdQ6DJHh/hXz7U4JD/aIE0Sl3EqI/IimpQZLsgJffE2TI9JgTTOII+paIcOHH15QHKGwv22+Ps4feZUkQdv3s+UWEWfHVGuh5OCgnWdBNHKOJ1R9bVxNB0mMLmIdOsgUV1oRbp1AKAOCmWOFU3voRFb/Dv83rzXZ+BD1BOwgW+tRvPgsSllXEypDe+1qss/KJfpMWWavKLtWBf8N0BB9FyLi+yP6PNohy33d+4gCrfZU+jgBCSIvuSsPVZPHwlICI3ifuTvYfFtnMpIiGf46TFpgsTa8N1TNkZfFXG7uQfxfgp34fljSnxZs6lGPnwQKGLTEkpncNzJMsodxH/2z1jyu/j809tTuNtSnvG7JvQ7ed0tQP6H1969e5XL5brNPM4C5Gc/+9ltP9va2qoWL16slPqvC5CFCxeqXbt2KaVQgASDwV/7Gb/fr5LJ5G98Pf/VBKQ+0ifjemqca5amJQiLk4XSTSDhMLma5lam0gqRRptGaXgs3mbJYbdqDbouwXHHAEvWOOUKgWkn7K1ohyXG0HmLU6L5DI7DjJi/z5ZuDhcMstsr10JrPvugIgee/c5BlV3Dks34eyRxzT4MEb0amNKH1usw40lY4mUw6qnn5qbMQsF1IisGQXYlz35/rgTs5QzrXARtmCX6kea+ki3oANU8kBbqELGx7NoW7MFGKp21tPZdPDuiYm36QKpNsrVLEABnnAIzPtyv0amXE4J6LNwFKYRxPi2SjYLnhsGOn3IMmRXrIFVzX4W0wJt2/DH8rKLttmp8d6djVNZSsHCfo7UNPD4pWQRiAtcGdn531AWL5EN7UMIDuG+Wv92Oz0ojGD22/s5sU15/5Voc/Pw3pkTKU18bl0N5tBNJ35xm5O/DwTfvgC1ksJplMKUHHgdutWYpwhWpJWdYWMFzwzDW35xQlY34nBhK+M2/vQ+SOS1JKdtoqlXv7JaCLDCNZgCzUqLtGoN6JaGKtsMzwDwVXxIH67krYAytr0EoGdPFq9ZkJWyRZLribU7hwMPy5q9uk/uPKeC196fUkrc6ZSNnWBdpa4QrVDSh6KIem16r0hY81wV7tClYG1KJzeT0xHMtroyz6V9bt/J6nYwAEugi3TrhWSciV67NilGdeRqkUhHpPDvLpWgHurG7vt4iCFjSozzX4mpeQxLBk1knG8M4n0Zi9IgzcSQONNqOaYXn+gwAGo3AexL5bZzJqKVvd0hAZaQbr5UHqIomU9LMjQto1NDbkjOM+z7aYasD31rr3G8PJ1XwiUlZnxi05r0+oyrW6SnDHktgBgzsZAe4cq1DGqKMh14pIoFLNqNZwUlIfc2MeLmqV2bEx0K5bc6QEwbLYig0hntFvEx6wlra4mRp8PXld9lqzVd2IdOizxZvX2mLqdxXUXRQZlvaYsoU3WOZIuGNttuCfPVY8ErRYJ07aKuFb+4XP0dwAvtI6SZTpsJ81oxzafGlhEZQyHuvz4iPjFQn3t+uo8DbSihpygkbpSyS9y8nd0yczz2IaTi77ca5tDSx3IdNkb1Vr0QyusdG6rnrMqZRnBTR++TN4rmYuxwTbU5JIvuxH5VvQAgow30ZdsqL72nVO7vhXTlkimyKtK6CvXid8xanVPkGU4JyKTfmnsgAYOKIK9eiKKl5AE08+ooYtskmCcMQg5N4fsrX4/cQZsPgRk6ncgd1GKLGFdctTKpwP3w1DWWTUCRcSglKn2cVytKCkyj0jbOYSEsS+hY0GPJ68bP+/rsekDt53S1A/gdXR0eHuu+++9Rf/dVf3fb/v5MSrE9f9ICEdyUE88pDcO5T46pmWVr49VxoOdYmSceX0t6R0+gY8SDLhbes2RSpQPFWHGZcVxIyjm1+f7sqX4+uiXE2reY1JNXVH5TKpCTaYYshsmJdVsbzxhlImjhV8SfQ/SezPrLfFva/62RWOkTFW/F6ufEZl1IiC/Cl0RWrbETH1XXFmSRRA54zZEuXOrJfh351OxIVj4VRNLusgWlLML/hp8dQMFxKSffaY5kyHWKqLMfexdssYd1zgZQQuE7HXxCYxuZSthFdMV/aYcCzk1rzADa0+tq4TBRKN2FTMc7CeB1rdbSwoTFHClC9CpSx6lUZ8STkDjqHEOaAkCrCQ03uU+PIEDmEwpXaZdGRn86Ib4SbUn4XNgyaeHOGcLBjCi4Pt0U78B7nNSTF6GycxQGRk6eylwccKULCEmoaJVLG6YzoyOkZIReeGGYe1Kmhn7cYyGOPDTIUZQiU+1D6wvTiSLcmrY3awtmn6btqNQ641Lkbl1DAP/txBAWaLs6j7bhPQ6O2eI14WM0ZtlXlK/1CcmHit/FQUrI/wgO25KsEprTUR3fraUpmYWqcS8uB0B938iuojaZuOjBlS9iYeLS0V4b3Df9eRZMpYaZFO3Tg3zOjyCPQfoTIfvzNhW/u/7V1Kn8fngVm0JRscVLhjbPOAYoeNE7V8g5oHKc+0BdvcwJEaTiOdmhKjy5Uw322HJ6YrSKZLC2m+BQiz4wK1raiyckLCPfBt+OxTAlLJfmKUr+SzZDvhfv19zriBP2VtphCfHMdxcGsbKMpwaFMomZhMa8hKfcUcbE0MwefmFSlm0y1sHxSuss5wzg8zl2OlPYN77Wq8AAKi/wuLddrwz2f3wXctS8Nn0BgWtPt9D3J6VZw3BZQRn6XLabj7X+xRdXXzKiFlVPKdSIr675ImK7GpdFTuslUpS8dVMZ5ncexB5851/HGd3eq8g2myn1qXDT7RLQS6jB3RUbWiPrauITm+mcsWaPch0yRVHHCVLcAk4nw02PiKWDydmBKT3eeGZXPJ2cYr9f36LTQFEMjOqdHe3v4HNBjV9aMaTwJgJRSLaycEmnfJ7f8kpnEtdJjmzLBrXkgLZ8VJ6feDJoNxduw9hS9MATPplYMBMd1Y+kEQCycIoocWnueGOA7+5kjWKJ2CQqV4m14Dd4MmnQeC88DiZmuY5DSMiQx1mbJXhRrdQ704lnpdKblbOwwLd54CKQ9j4nPsfjFQZXXC1kap6ehUbzGuoXAJxfu1k2EywnIOfvgFaQfKtznSD79cTTGQmO2BIPSK8UpS2AaxRQnLrmDWH+L1971gNzJ624B8t9cv/rVr1R7e7v64he/qH7wgx/8xv/93nvvVem00+n7j//4j99oQn/sscfkZ372s5/9RhP6V7/6VfmZ999//39lQs/bmRBZVGUjFlH3IXSWxj5cAfmFTqdld5F64GgnFovgBDYS6nsZOuaPg5aR+9Q4OhtamkN9ufsIOtPMFWB3lJIHGoN5aGbQGTfi0Ag2W/fVuPKlddiXRm82lE0K/YKdM6IDSWwq3mbJe3I9nBSZifuR+G1BhESV5h7EBh7ut0WWEqwIQh0AACAASURBVH56TMVa0T3jIu8xHVwjD72cQrBIC41i06H5v6LJRALvsKN3D/c7Ov/YTkjQZmMHq1fhELb9L7bIZKRqTVakJ/QUxNrQxfWYzsZNnClzO6KdOMTWLENXi6Nwfi5EyVLuUrDHEua8UloG0oG/70uj0CPn3biIAzQpKjShUnLFEC8WuMYZZIAEprXxT4dRGhdSwDbrzBiP7QRMBqZxCHIfhjyJ6ESSYLhhU39N47vksOgwPcpwKA1hkcBDRM0ydEaJro21YqMt2AsyD1G8dW/0gL72wpAyzqUFMetLQ5IR6bFl+kXfiX/GEt9JcEIHEK7JqtolaRV8YlJF223JmTAupUSK6DqBrjPJOZH9tnTscobwWiUZ+/kh3O8nspK7kjPsBBayWx3uQ4EZ7XQkFwwao+SIEAf/jSlVsgWHoeCEDnk86vhmcgfxTJU1m5IRRHBA+XqNIR6x5V6afbEQDU5qM/akQ7YiSrX2fmRFLJg7IwVR7lPjqmZpWpoN/DyKtluq6d02OSBS/lG20ZRmQsFeSyZP5etB9XIfNtWi2JgyzmRE6uM+Ykp2kP/GlHId13620xmRfZZssSRw0pfGusTDz6W/rJBcnZwhjdLeZwvelEjnSA9kbJWNMDvTm1e+wbmner7ZqO739iIBftLBqbsuwx8yd0VGzMIMdMx5chySQ02PqlmaFmJYzjCe9cA0mjG+JNZyIo/LNppyyGfGT34XtPm5B3GfMcSRuUeEPhTsxTNlPJQU43q43xZficcyhdj2vR9/QYXGbCm8vVlLHf7uAhTtp1BEzp+fkOfq+g+LJUiOkyQarJe+3SHZT6SMeTOWaihBwy3WZknuj3ExpYzTGZGyGacz6JA/lJTAxqrVyLKpW5CUiYcvbUmaNwt5Fs3FW3Wj7JApuRQsFlwnIFWWRpbGTHN6wQkoqVfBcZ1j0eEY5ym54zNWvA3fLfMyPKYlEjR66Dw27u/ZGTy+NDxBHhM+oEiPk/XjfgTTYm8GxRIlzcFxW934YZEAHTjBj/TYksHDRp37EKZfFU34TNyH8ZkQGV28FXtlaYupapekZUpSez/WvIYv7cP6O2ZLdg6lvYu/3KXK12PPiO10fCVEG1esQ+Mush/rYvl6SHNdJ7PiHaGEm40D+lGNMxnlmbwrwbqT190C5L+59uzZo+655x715S9/Wd26dUv++bd/+zf5mVQqpe655x715JNPqo8++kht2LDhN2J477vvPvX666+rDz74QNXX1/9GDG80GlXvvfeeeu+991R+fv7/CsNb8HiveDE49nedwEMa7reF+lGy2VlMIvthMv/FT+9TDV/ah83lGjparuNZ6QCVbMYiw7AvjsZdlxNCp+GmwuRmhrgxTI1mz/INWIwZZEWKUM4QCpIF1dPQ7lsYH/senZa079JNGOmT706al+vhpPJen1GhUfyOwl3o3EXbbfUPf/dF+azy99kSVsek78pGdJDq6+Lyv8fasHEz8bV0k6nWfGUXusp7ITMp3mYJkSkwbYGupcfuke7bD+S+tCW6Yi6irpPg889bnJJDFYMaSTeiAbJoOw7peQdsQeyWNQN16LGxIfiSlkgIYm3Oa5T8hRZ0m11HTeHi02zPcEil0IWlZKp0Ewos5hd4TEuoKd4Mph5EDHMUTrkGA/OEsz+AQq1wN6YEJVtw8M3rdYrB/H22hD764zrhXZsTwwP4+2u+sksZ59LofLc76dsey5RwPvfVON7r5YRaVDBy+797OiMHaKIxox06lfoQDqJF2/G3icw0TmWEdFW1BhKsuoVJdH+nLfGbRHo0meXGlMAVmBLvOo4DH4sK17GsfJaUc4RGnCDRSDc03zT1+m9MwQdy2BQkZ3DcCbyjsZ+FF7HapM65jprq1Pdr4UHpt8WsyQJwNiCCFC+murPgcx3PyoTVp6WBDBMljtO4mFKL8kd+bZ2S3Bgt1+N3X7sE9zkLTh7iQmO2GPVLW0yRxZU1o8ER7keTomQLDlmxVkzLYjstyZ+JdtiCmjbOZAThS4JbyWZLpDb+ODrDoZsTaKocMuUARcgG83zotSA2OWcI9xyBDKSC5R60BTnLaRJfV/E2S418+CDISutRgND7VdmYVfW18C/VLEXHnE0TghuIvy7arklrJ7ISAunNWOLlopSRXfhwny3SNRYKJA7mDNlSsNa+3gvJqibEVazLqnkNSfk8mFdChO9sMh7BF74UvDa5T40rb8aSjIfC54cQVjdrYh+Y0lJUDd5o+NI+FXlmVCW+vQSFc6dDNAyNoBCm/4K0wcJd2hfVaYsXxZu11NK3O1TZRmB4g5O2EPNYKPpncP8xs8Ifx95W89oBFFp7NNlQF0Jcj43TuLdirXif3rQzMY+22yKhLNxtyfeavw/PruukxjDrkEaSBEOjtvj9/AlLtX9jg8AuqlZDdpq/zxaMMxsc9W92i8+TV94BWxoWPLhzrac/gmZ/4usptaPckvATj+V46Cpe6Veu41nJ0Zlfn5DmhS+Ne2vu8owUXNEOPB95vUBYs6FAahilaZTi+eO6YTTgIH6Z6xQatQU8EZzAPVPZmFXG+bQzCUljPS7Z4ngqGW46vz6BwnHmbgFyJ6+7Bch/c/0mk/ecOXPUpUuX5GcYRHjvvfeq3/3d31W1tbVCyeL17//+76qjo0P90R/9kfr93/99tWzZMvXjH//4tp/5x3/8R9Xc3Kw+97nPqc997nOqubn5fxVEaJyDeWzkwwelYx2YhuyE6EESjBpKxpFKrMOjXMdg2jVOZ6TTFH56TALeGLIUnEBHLvz0mGycoTFbUlxJzCHBKtqOxZr5GyQJ+eMaR6lRfh7bFF0qDzfF2/Az7NLm73P0sfVvdqtYKzp6XJiMs2nprLJjSykRL+OUkyA8ryGJA8lOJweE/7myMSvm1LqFSUno5YJdthE0qXmLU8Jjr1qTdXDG3SicPDaKgZqlaaGQuQ87mvGa1w7ItIadHq82wLuPmIKErFqTVQXPDUOClnQ8Dq6TWUE0ljWbQkYq2AOCDQ+7OcNaHjLlmPyDE5DOsXiItTnmahqTS7bgMMeiKNpui9yKAXqBKae4ZWrtnq83Y6LxzChM3xdTmEZpXKNxMSUmzZLN+BvBSVvM58FJUMPyevH3KjTliwjZ3IPOZpS/Dxt2fhfuD+NMBkb4aRwUPdfiIunIPYjis3YJNqtIj4O8JLKyeCsOtL601nVrz0rTu21CZ1NKqSVvdSrfY1P4+R5bJDfBcXSESzbjHi7aYYlMjSbpwDSekcrGrOTlsCBY+OZ+tfztdlX4/JBkGdBg7TqZlQMEu8acglCiEh7AAW/7X2xB4XMlARyqNnkW7YCuOr9LG6ZPQfJCKo37ahwJz9udgDh2dBu+tE+5LidwMH0EacrsftctBD2n8pV+oRXNvkiymvxomSBpw0+PqYomU7I7gpO6aDiXFrkhJR/MSFhQPS0kPzZamB/iOpmVZ4OHmE9u+UVCx3yd3EGnaUIMq38GBuZYG54HBnsSlVu2EZPTks34jgt343PJ0YhSjwUEdnDC8VX50pYU4zlDWnt+Y0poQq4rCQSK6nuqbmFSphrFW1H0hAdQeCyYO6MKd+E1kzIY7XQgFixq/HGsl66TIE6xEcTirWi7JVJXUpuY++E6kVWuE1lpCJRvMAV/nt+lsdmPT0pH/5Nbfsg/T2UAwNDPGmU7TOKmb6h6JYr/uoWYiBun4QnwWKZMv11HTSFX0RTOMNribbivvBq6wdDIZz+OyNpEAEqkBz4RHvzf/muvAA1ql6SFwjd3BXxxsZ2WTK2NCynxXVWsy4rfjQ204AQKgMLd2tC/1RJyFf1FuQdtUQvQ5E5Zk8e0BExRvA3/vW4BnqPcQUyLmCHC6TLpfoQdGBdSMtFnE8xjmWrP15vlmSOchHhtylh5MJ+d/UP/zf4P1gnIpWiHJeZ0glNcRxFAWb7BVMUvDqrqlc4kccN7rTINNc5k5JlhM8E4g/skr9eW/J3C3ZbAcuipqViXlSlT+XpTENve6zOqrBnPAu+LwBT2XiJ7iTTm9I25Pr6UJbLy4Lit7js2ebcAuYPX3QLkM3KxAIlujUs31H3ElEyMmmVp6cZFunFw4YGamwM1mMTxFezFiFa6jjpcr2Iduq6VjVkJCIt0Y7FtfHendHGZH8CEVGo7SZEp3IXDWfl6HIB4iCX5omQzCo6aZWn1i5/ehwPS+TTCm8ZtSWJlV5IbHLX70k0asW9DghJhGRq1JTSPErPcQVu0tfn7sIH5b0wBpav1+eTzh0Zw6Iv04OBT1qxHz7owY2KtfwbdN+/1GVW+3pTk8HA/OlCea3EVnMT7qF4JuVL5evgDiAOtWgNzOVOWP7nlF3pT2csD6pNbfhWYstXC8klINU7g4MFOad4BbIp5vfjuiV8tbTGF/kWDpVJIY3YfxgaSe1Abpo9nJU3XOJORJN9wHzreBXsg32HwWnACm03NAyh+PRbIVIFpS8hLRTssARUwjbxmaVp8HpVrsxKaWdqCQwk3JY+JDYUSkrJmTXvqgaGc8jyGOdKwXL0KmMfAlE4HfiipFlZOqZoHkLzuvzGFYiHpHJjYUaV0I9aKQxCnI8yXYPZAtEPr+I+juFj1zm41+dEyZTwET0Gk2zH6svDxpZAJQx8EvQ/G6YyKPDOqCncjryLnyXFoojXSld+BN6MN1hq/HB7A7w1OatRsFl1aYpj9cUsK3/wuW4pa32NT0OMnLFX60kHlS2GzrlmaFkTxbBRt2csDyFR4fFKVbTRFF85idvbF4oB45rwDOol6EN8ZJzaFuzSgQmvs3Y9gksfXQ8pWfW1cCs/qVdDwu6/qKeYTk5D+aL8GPQSLYmNorDBfZYvjlfInnEwHXwr/uXwD1lFq7XmIL3huWNZVj40DWWgUB2CCM5h7E+2E7Kp4q87s0Wtv/j5bvidK1ggE+eXPPELXW/OVXRIkW7oJh8Sq1VnxC5RswbPXUDohoIXQGL6ziiZIZOhbOPq9+cpjmYLR9liYMNLnkr8PMjhCNFjwEIPLZ7WiCYdA4ocHvrVazV2RUU/9KIpCOO14eEpbTNk/mA8SGkPBS4N9zhAKV18Sa88nt/y4d/UEMdKtGwQdWKPch3DPkR6Y12tLQ4z5E6ERyCdLNjvesarV8DnykBwascUrxUlzjkaC5wxhEuw6ioMsUeuuY1mRZLkP41njnlOyGe+dh2Ka+glocR3PSjApGxv0IJJEWPrSQcnkYRaP6wTySAjG4F5VvsEULwSlkJHuWRSsDtx7nIxEO2xBZUe68b9xAs3AVU7RWfj4Uo6HzDiPyUX1qoysBSz23I/EVfs3NogUtmZZWmTMoRHbya3RPpScYe1r04n24QEUmXOXZ4TYGO3AHkZwQdXqLFDqfQCCVDQ5+4LrGBDROUN4H7xPCV2oWJdVdQuSalHBCPxaXXdN6HfyuluAfEYuFiC57Ql0p4+Do08zn/EQEmwF1XkeibqxNkwYytfjoML/vfD5IRXu17rxDlstf7sdhxptzDQuplThLks6mgwxYlZDxTpIcoyzafDu9YbLbiIpKa6jphr7cIW639MjgV9FO7TxT3cNw31Y3OoWJh0617MjEqBEIyGNlaTSzF0BgsfAt1argj3OYajmtQOyiDNYjnkeG95rBc5Re1dcVxLYfI5nJQtAAraSDt3KY8Ec6M3qjA5NZqFRj6Z0yqnoQfDHdSAdKSE6JDE0orX1KccESSpX0Xbnd7iuJOCBGLZV3YKkSArYVQtM4e96bHSQapbh+4jthEeoZDO01pTuUDtcthHa6qrVWZku0CxMUyMP3TnD2EAIDKhagxRc99W4yIJcx7Mi3yHfnbIs6saLt2EKkjPsdFsrG7NIt9WJ4dF2J3SKBRI7aZd/UA7qVo8tVChf0vGvVDRhY/NmYVo0zqalCCvcpbNkumwxPtYuwSbJtF3K1Gj8VEoJ0YwQBUqHyppNCbwq2KMPKX22mOeNs2mh/+TvA2GL+RCuKwkQfbQZ3HU8iwBJLW2qWYpsHY8JqV/Rdmy8gWlLJBjuw5hOsMvNLn2kG2SiugVJMTi3fm2T8piWOvG9ear1a5uka1/28oBa9c5ukbiRXOVLopgzLqacVPYrCekSBydtYe1/+pqdvxJ8YvK2CQGzS37+0z9Vxvm0HGCJBPbPWGLyJWrcdSIrJKrcQRQhRHLWLUhKceNL6U69DhSkH4j69tAoppUM3SQtSTwM+h6iB614G6Y1vqQlGOWcYRySmEDP8LXKtVlJdDfOIQB0XkNSzM6RHjRTAlO4p9jZp6+Knp7cQa2RT+D5J8o52u7g0CPd2sf3xCQm2QexHsda0bmvee2A0ALZMab8iJ3yWCvW58rGrFDwfElMaohKL21BjlD1qtslkIFp/FO81ZLE9NyDKMLYhaf0tnA3ngN/AutC4PFJkLnabckhKnt5QCRhbJDMnw+giMdCsK7n+gyyNaZRKJWvR3FVXxcHxWsGvh2io6tf7YNkq9WS74ATembEsHDhRJ/vmwAW15UEfBtZSy15q1PldzndfRY3RTssdb+3V4VG8HM8xGe/s0iIjyWb9XTxtQPKdQyfN9cKTuE+ueVXrst6H3o4KZ7BB/98D6Rdzw+pgueGlT8OqZZxJiNBqUopUNySWAdKN0EqV/TCkHJdToh3pnA3vpOKJjRyIvttuY8p8SRSnKGT4X5b0MnF2zRmV5vnSzeZIokzzkKOTDpefS3WpbJmfH9sekb2o4HGoOL8fY6U2Je0BFBgnIOHy33YlKBIyrR8KUvCCxl067qSwHp1Ni3PFJ9j7+hdCdadvO4WIJ+RiwVI5aJJ2dTyDtjq6Pfmq8Lnh2CEndRJsnpRoX48OInN2jiFTmv46TEJmqKB25d2wu9YSNC0yA6bLwlTJpneoTFb6CLsdpIGtfTtDlk0qKslfcOfcBLY3Yexsdfen1LG2bSqbMRmQVzf7NF9Q+kE0nMHnJwD/sOQL6UUDpgJS0L+qINmZ696ZUZG+9UrM6pyLQ6UxIBSE1+5Fp2YinXOYkxMJI2FRGHONvxXrkVX3HgoiS52xjHPL8ofkdA0avlZ9Hgz2BBcx7MSHsfAq6rVOi9hCzZHyjf4GRNpShpQ0Q4cIiltcx1D0UDZDPXsnBR4bHT2mFJLH1DhbhQmpNwYZ9OiM+78YL3y2Dhg02tU2oJpF+lKeQdskWHkHbBFEjJ/fkIyVure6BF0YqQb94gvCdmD66gpmS2UEvpSlqBzA1Mw38Z2gmDGFPP6WpioG8omcTjQHgOaORdUTQuKk6FyrpNZtTg8CDmiLmiN82npkpMmV/rSQZmqBScdH1bTu20I/eqy1eK8IZHqsesZeHwSk7UxfZBtwz2U32VL6BxRtZwklbaYEiY69uEK6KD1hIsZK/RMVTQBEsFAxJxhHFY9piVywJwh+MGY7xGYdig17qtxyagJjWmCks5eiLXiuahZpmVtn0KB8vKl8beYbUO0bfl65DAQ11z3Ro8YeGkwZRp2YMqWDitN07mDmNzQSxaYtkRGQ4ll5dqsdMDDAxo3PitRPThuSzHP1HUeWhiiSSrbwjf3q+CELR6ksmbc566HkwA7HIOBvWoN1o6q1VmRAcVanUyhvF6892i7420I92E9Lm3Ric9nQW1jMZLXi+cx3O8ghGOtlpCXJGso7SRf5+/Tne4DtmTGsHAveG4YU7UBW9Cvc1dkhGiWO+hMiigtpHQt3Ie/zcIn1gaABz8vQgZibZb6xt/8mUiKjLNpkRYRrtH8/nZlnE+L5IfwhE9u+WXKVPbygEzWSLWqfrVPptn06uU8OS4QhqLtliR0RzvwHRRvxedV80AaBedBWwIbiR3m5I/wlMA0clUayiYhK3t0WvYu7qWhEazTje/uREE+hJ+rWpOVdd54KCnrkPFQUt34YZHyXJ9R8+cn4H+6MaVirXp9O46puPuwKZjZou2WdPyv/7BYpFHGKfwcc614kSJlnIecMfLMKJQKe7EmUnJGolnPNxsliLB4m6W+9+MvKPcRE3LYA9g7OKn2PTalCvZCelm0w0kdD43i+apYl5XpIyeMvhSewdyDTgq9fwb7HAsIb0Y/p9qLFJyEuiLWCjgI/XQEFHiuxeEn03LfWBsmgvSYEMHsOoa1030Y5xj31N0C5E5edwuQz8g1W4LlPoxDScUr/Y5UZp8t5I6a1w7AO/FwEiPkR+LSlaMO330Ih5bFOQcFKzi7i2CcT6vaJWkJrSIeL7LfIWm5LoNm4no4Cczk4tRtE5K6Bdisib8tX6+Lm7STuF3agk4H5VkVTaaQPCobs2rxl7tUxbqsyn5nkapembkNLVy9EpsoD2+8SrZgo6Lxl8nC0U7NRN+DA8z8+oQYPCkJmLc4pUJjThpw+QZTDJnGpZRooot2WKKfpeQq74AtHTVOABi4534kDunUURQBwQlbTMJlG0E2IbL2k1t+oDOXpCX0znUloUJjeD9Vq7OS6Oyx8TlQOx2YcsLWSB8iBjM8gIONUkoOf8T0uk5mRX5jnE0L8pSp4PU1M6IlZ7Abk4zdh2YFEOoE37JmFBoMw/SmUVjldzmoSKYrF2+1JHcg7wA6WuE+bcrWQVPuQ6bkwVAyRkldpMdWL3ycBwb+1bgqfemgPA8EBJRuAsWGuN7sdxYJirZ4Gzax/C7b8SecQRJ6aERr7mcsyTlYWInwQuNsGrkyeqP85t/eB3LPI3GVO4jvibkwfD/zFoMAVbMU1BwmjzMBONZqSYaPL+0AB3KGbUkf54Qg/PSY8tim+H6inTjARjtgVi3ZjIK0rBkNBKauB8chhzIugS5EnTYLLUII6uvwWXIKEu7D3/SlMWXwZn+9AGH3033IVK1f2ySkNWrhjdMZSOBOZVTz+9vV/HpMViL78TfKN5jigeE0ieFzksew05GaMhXddRTfny/lTGFzD2rc8cWUBL7NW5wC8OBCStU8kBYvGQ+R7iOYrNYsS0v3On8ffg/zG/IOOJkt0Q5bOu2kGnmvz0h3mZ8rEchKKVW0HZOsoheG0EToc/wt7kOmrFvGOUhlguO2GLsZCEuUL/OP2NWmpKp4Gwy6oTG81vq62zG6rqN4ZvO7IIsKD2D6ltdrS3ebGTPVKzMIPDyoP98M/n/5XXhfxtm0+CCk267DZolvLtliiaSMeOVIN75vpoT7ko5cVyklE8Fopy1oWl9KSzcbs1JQFW3HPVy3IInGkCbQRXpQfPmSlkyJoh0OUpbPJfOkmLlCGpRxNi2T4opX+gXvWvPaAUFhMxQwZwgHcmZ0EURSuskU/1Bkv0Y/H8Ne7E9YklnlOpaVhkS4H6by4LgtzR0W6pzoz5YcEyRBWeSerzeLJG7VO7tR2Ldj32bWD8mCpS8dBEggbckknPlVgccnURRooEPl2qxIdZkQT79meGCWub3DoV2xOeg6kRXpmu/RaVWzFOoNej6pWCB4IvD4pCp+cRASaT2RC45jnXNdSWBv1XkwRD2XtuC/c/LuPmQqz8TdAuROXncLkM/IxQLkvsNTqr4OJsCaB9JqUf6IHDpJziDnnQ9pfhfkI9Z3F6popy2HTnZcS1scjGLz+9tV4S5okrlg19fGBTWZO6iNm9dnpNtH5O7c5UjGLd7qYAxp7qQWNNqJf2her16ZEelK8VZLaBhEWors4Cy6PpRXFG/T7/GpcfzuPmdBpraWHUjjXFrkR6ExFEdFLwyhQ3LEITNFnx0Rk+zNHxXiYDnhTE+MiykxITLEKvWdxZJczmmD51pcQt5KN5liZA1M4fcQdepLQSokFK0kNkLif0lOCY3iELrkrU50JWclq7uOQ+9MeVl4wFZjH66ANvaVfifjoseWEb9SSjCU9bVxMegWvzgIeU1c54hojXBkPwqTwBQM5xVN+D2xNo3nPIMOveskirZIjy25JjSpui4ncMB7BFMNYhNLN0E6ZpzOOPks12fUl/7aL8bIvAOO1ya20xIZmnEphU7XbmeaVrRDGzK19IIwgdJN2MCrVyIgrGwjNjTXlYSM+Ynx5HRGKSVGYtKdIt0OQe2TW34xxM9dngE4oWZGjMUMvzMupAR3G+20ZdpmnMmo0hbcz+4j+KwLnhtWwXFbaHPUYDMUNDzgYLaXv90u+QNEE3MimL/PKTCNCyicjYspVfdGj3IfxmdP2U7g8UnVUDap2r+xQXmvz6BpoENM2VUl95+/N2cIxdSnL3bgmUHBsL7LPyjHwU5PMEhH8lyfQR7ACXRMjYspld+FZ5QHRL636lUZmRiWtuC5pVTUOJ2RQL/iFweB79SySnZzS7ZgHVpYOQUcatIp6Gh09moZY0WTo6HnYbdyLQopTizu9x1AQXMsKyZw9yFMOxjUWtqCCW5spyX3FJsepI1FO20psGbnDrHBwYOZhyCKlwfgY9MoXW/Gkv9unENOUWAKhX5eL9ZTkvdYJBTsxUGTE2pK6xj6xuKOk2bxPB01BYFa2ZiVDJL58xPymsMDWiqnJ6rU97uOohCJ9DjyJE70vFlHkms8hDXKmwHlkIndRdtxn1CmSQhKyRb45mj+Ni6lhMZlXEyJWb50EyaEvrQlsjLXURTS9KAEHp9Ukf14RqOd2gzeYYtEMNKDgzwbSyRABcfxnt2H8JyQLFa20ZTDOcMI2anP77KlMVC1GkX33BUZZZzC9J3TJNflhPLqqaH7EJoRzJRRSsn3zYln2csDqvb1XgQLvtKPpPtrcfFO8PdFOx15mvf6jBSJxPOXr8dr91yLY+qq5YhL3upUrisJ9Yuf3idrNIveuSsyUhjWPJAWaRfDaX2PTamq1VlZY4q34v1RVhZ9dkQM+Ae+tRb73I0pkcdxokLIDGWTlDvzeWFOWaD3rgfkTl53C5DPyMUCxHcwobwZS01/tFQZZ9OC1WMHhBKc0M0JMZgZ59OqoWQci7w2bBftwGKRM4xFsGpNVjSuuQdt6QD6kg5KNzCN/8xAIoZzuQ+Zoicm8YJF0ptfKAAAIABJREFUCc3fOUPoggSmbCQ1axlVcMIWCg47jKER20kGbtOm2iNYwJjgGmt1ulokPPFiJ5Tdl9IWTAeCEzqDQuOHt351KzbYJ8clVMl1Mqu+9Nd+GPEnbFX7ei8+lwvI/qhszEo4YqzNOdhzulGyxfkMhFhzY0qVNZvSvY30YLOjCZL6V4+JRbt4K1LNmadR/WqfbLjGGWxQ7FwzYZaFBLXwkf34nIk2rmjCQs4u7NK3O4CdjesiRnc/i3bgoMRNPNKt0+GPZ0EYOeQYMiM9uE9yhtEZ5yGKTP/QqC3TCkn03gopgcfCdIl5JYEp0GxcJ3FodJ3Miok71mrJod6bdg5TlAFWrNNmXZ1VQDkijbg1S9NCXGEREBrD7yhrNtXivCHJMCndhIMe5UVM3Q73O0VV+QYcAji5iXTbYj41zmQEwUoMNjXP7CTG2tBdLtlsyaGYfhLjTAbSoQsp6YDTQM5nIDCN55IJzq4TQHUW7IWcinIRYohznxqHGXbckTdR4hSYwqHH/QhCL+nlId3Nl0KHMTSK7it9SJwWffriPURMa16vLQewinUoQMs3mDK5zevFpMWb1pMKTcajX8abdmhwzCvic0ddORHhsTYcoJhWHxxHt9p/Ywp+j2dGVWgUh0xKTXmoYUaQL6nXxSFbaE5lzXh+It06o0j7t4q24zkt2IMJWuFuHHJdJ3Gf+h6dFrqY66hDdyIRqOzlATV3eUY6tzlPjstkONphy2GzeJslJLrqlZAy5gzZ8jwx9JGSTn/CEtJgaAzP6mzKUrTTVpu/uk3kbbFWjae9MaVKW2C2p+SUeRXuIzjgl24yJRW+rBlNJq6nfA6C47ZMEVLfWYyJKRPWN2vfz04cFr1p5/Me+NZqyC0tU+6l2td74W1bmpZE8LJm3Ke1S0BR42G/cm1WVb7Sj4nIAaeo9CUhQa1Yp6Wx59MykWIQYc2ytAT7Rnr0PjTmNF5CY7ZIUWOtlhyymeBOxC1DaDmBCExhwuSx9BTyPBpprhNZ1f6NDcjVOGJKMVW7BO/HOJWRZhiJkcbZtHIdBw539n6XexANs/CAra7/sFi5LidU6SaEry58c7/yJVHoVTZmAYiJa3P9IfgYOYVggVq7BFJo9yFMZ9ggIFSlfIMTilu03RJgi+RrvTiINUojymtf74X/JeOEipJQ6NMeJE6UKZ2M7EcxHW1HwZTf5aCEXSdwrxkXUqIcINDEfTUu8lXfY1PqvsNTdwuQO3jdLUA+IxcLkFBXQjq+JVssobm4jmVFP12xDma8iiZMP8qaTcFZkj0+dwXSdWuWwvQZGkU3cu6KjGxmOUOOfrlgjyV5CHm9OLSLybbL2RApzwkPaJzujSkZXbuuJGCw7bal82dcTMmhITCFw3zRDhyAw/2QbHgsXYBowyUpVd4MUuCj7beHojF7oazZFGwnu+gcM4f7bUHy+tKQYxlncVD4wY/vFR0xzcoFezVq9VRG5EqkfpSvx0ZTvsGUkDJ+Buz0ug/h9RuXUqq+Lo4gvLSlPvzbP0X440FnMuSfwaE2v8sWE3tlY1aCEmm89c8Aa3j0e/PF9BxrtUTvTmlOROtmmcatlBINf/VKmLy9GXwGnK6UbLGE3uM+jM8/3Id/Z+5y5FcEJ3FA8GZ1iNrDSXm/Nct0KNrDSVX60kFsfAlLNtL6Oh1G+dS4JKfT5BjbiY09d1BvvikcfGqWpVX1SvhLapam5cBdvTIjKOOi7ei4F+6y1ILqaWWcychEjoZZ9xFTzMcMKuOULDCFriC71b6UJdKpki2WWlg+KYhLemoY7Bbuwz0+rwF43vDTYyCy7bLUqnd2C1SBWvLqlY6/IDBlS7eeeGc+f6R9cVLD7q3nWhxTx0l85pVrs5LbwBwO40JKLSocFbkDA+mYRcHDjesYQvOY8u3NWCKdKNgL7XXxVkteY2jEkfPNvlhsuA+bqvD5IeV7dFpIeGT0Fzw3rCrWZSVYMDCF+7lybVZ5rs8of9xSp75fq0q2aE/USZipQzcn1Ce3/Gp+PcL6iBou2awPkOcwuQhMa0qRLtSKtuu0dD1BYh4MsauhEbyfFz7OwyH11T5VuMuSg17eASfYrWiHJfLVmqVI5ubEkg2T8g2mTA/mLse0be4KYEyVUk5wJQEWerJG43hkv62+/bdfVK4rCVDXHp1WsVYnT4EBmIW7LYFICNDj6TGEeGZxqGMWhusYGieuk1mZPubvw3fILnZoxMknYgYK/4l2OOhsX1LLbXWSeu6gRqVO4z6hx5BFauEuS/31T+6VRgKbJq4rCfXsxxFASXY4SHIi1Zmyzg46D8/GqYx0vxnomTME6Zt/Bq813A8ZMb83AgKM0xnxx4XGdODmRhihOdEhvjx0cwI5RZtQiIdGHUBAfW1c+R6dVuUbTCn2irfq7IyTWedQfQb4XyZ9EyluXEqpyrVZNfnRMuU6jvubKHjXcRSw8+sTmICPad9ZK5oOxS8OqroFzgTElwRSvGo1vA/hfoe8RfpW6juLZSKbe9AW+lrtkrQ0rujXqlsAvwchGAzl5L/rPmwKbpzyVOM0Jlq5BwGT4cQvNGqrC39ZJRNs3vc1DyA76pNbfll3fUkoAiLdtvjWoh22QEsi3Y4/hgHKDCKtXIuCyWPrZhsnJlvuSrDu5HW3APmMXBJEuAkLJqceTPmuWQrEaO39OHwV7dCdb20Sc1+Ni3421obFLtqOjW/VO7slZIqUE891zaPvcELVyL0v2KMPJ1fgoVj+drtyHUPQX3AcByOPDWMm03pLW8DPpyGQm6cvrWVaOy0cWJJOOnThbkv9n7/7guB9wwO2hJcVb7WkQ0IjL69V7+yW7irxgIIn1ibdinVZQTv645YYg/0JvB5qyHMP2kK2CT89Bqyu7eBmyzZC2uPN4LOtfb0X6cpaVhBrwz+uk1lJDS/Yg4MhD2v8nkjAqlmaFtN0aNSWqVPuQXR9uCF4MyBckXxC30XxVnSl2DEljYxceKWUanx3pxBO5jUk0S0ddfCZkR4UpLy3eHCjxjfa4RSCOU+OY5R+MqsayiZFTpM7aIu5lnLAvAM4lNE8TE9RzhDuMd9jU/AhXINnhiFqPj31WlA17YAEdNZIyRbnkEQsr3E+rcpeHkAOzc0JZZxLC8mI3xcPYb6kfh1aKlX/ZrfK68X95DqhJzJHNdGsEVhf18mspAGH+x1qGLMpNn91mzDtjVOYWhVvwwGFJu+5yzNyf5Vs1pMhG58XCU0sLtyPxAU76p+xBNlKaWTV6izyJvQEJrLfFqpRcMKREblOgDpWugkyh9lySsIt/HGQ5Th9Cvc5uFHKZqhN//TlOp4VYlJw0slwob6d6fWuk1mZmgYnbDkw+BOW+tJf++WeYxH+yS2/ZBgwf4D/e/WqjArdnJDMAxb+vsemBHpRXwcDfPl6R0tPbb3reFYKPl/SEh9c7f0p6f77kpZgRAmjKNkMk3Bkvy2hhJSZea/PiAyNeQtEpwbHNbXqQkp5rsXV//czLyYmKRCXXJdBOqx+tU9kav/wd18UeStD3Eji4rQ1sl/TDXV4K6eFZRsdGe7NHxVCRnt9RvmSWiZzY0qkU760JZ46Tq9dR/HceiwUCESV1zyQFi9YYAqdao9lSiBqbKclBnHmmhAPn9cLbGrJFtwLxCBzUqOUUgV7LJn0eixMkIxTGQk+ZaBo3gE8g0wUz+u1pdHlPoQCq/n97ZKd5I9j3cgZwv1WvQrFedF2fLbuw6aATLz6c+LalL/PlilGbCc+PwkmnLJlklewF0V3tMMWeSnpiZFuHLxDo8hSinY6ZEPxEWkPX7RD54LofKXibZZMkngZZ+Ch8WbwfVeuxUTUcy2uapfA9E+ZJpuUJZstCQjOO4D/7jqJYrV0EybT7qtxVfTCkCMVu5CSvdtjOhMk46L2VZ1Gc45AG+Y70bszb3FKnln3I3FV2gJYBgtAfv+kUW54r1WwyWUb0Uz0pnXosSYWsvnJdTyvF82vugVJNCLvSrDu6HW3APmMXCxAPONxoVPNr09Ab7syIxt54S5LjG5iYNPp2iWbLRhor8UltIqden/cySbgAS/S44Q1UQ4R6bEFDcnOGU1+XBA4FeH4mMY+juG9WUs9+Od7EArW5DD4i7ZbQskI3ZwAbWNMdz30wZIBXjRdzvaZ8CraYalFhaNiSI08MwpD4h6NHEzgIMgOzLzFKaSda3Ny0XZLVb7SryoboVU1TsPjUNqCUEIaTokmLNmMwoP+j4p1WRBdNBa5cBcW0NAYUKdN77YJlrZoOzps7kfiau4KZKVwk6logn6cB59IjyZX2SChFG3X4XdpHAqJPS3Yqz/Had1pPKY3h+MoFpRSCJqqi8uhPefJcWWcTWOCM4ypiXEW3S/jYkr8OGXNpqA52RFt/domKSTyu/5/9t70N67zzPb9N9I53btGVpFVxWIV51kUKVmWNUSyRFGURFGUKJISSXEQ57lI1rz31mxrnixbHuTY8pDYTsdO3IlzkrjjoJN0utPpDN05ES7QXy4ucHHRgPDeD+tdz6aSg4v7TYDADTQ6cSyquGsPz7DWb+H3jQzbop1u2A4fAc2ZgSXnxcWmlhhSbgf4O5PcVPtiXmhV/lVLNiD+VUu2Nf5VS3xLoXcXAEq4CGlT9L05VXnQkTBFRm3xoLDI3/r9QWn6aPJ0v5pUGzYDusDrOTwG4hA/o+tCXrnupCWQy5e2nMC7HocoR3KM+wyacf8q5BslJ1AEUTbICaY356Rt+5ParzSJhiU4h62McSUnxtWCZV3YzMH/U3HIFEJayUm8vGv2AiW9YXNa0qK991flPLNpMG5mlOtOGuSni5A2eLP4vJ7XklJk/eVROAOfUHDeAQhUHDLFmE4vC4vc6ACuD8o7iHDe/NmQqt+Zk6KQvrWNG1NCfiMOlhvW572nlXEzo1rqViRPo/iUDg9cwv8nhICDkLUeDv7eo1+1igmZEldfFvd2wQq2RcwhIDY81mcJYY15EP6UJUZqau2VUjLA8adQUAeW8H0zV8Z1IS9hmryeIyO4J7gxpEcjPGYLAMSn3wHxHjwT6Z/jdUB/VHWbKY0WPQYMmf3Tf35NvHqUyRJjTEloxSFIr4JzjvTNm3dSxLt/2uGE/V0FoS40DqwsN0rcsFPLX3HIVC21KwiZW8V5ouSKfhMazplcX7CCa7pwxla9Xx6Cr0dvLEOTwOw2fzoCYpImLxbOoBksnEHjVNFhyqCEQwL6gMKnbdmguc+YkjofGYbPjhIs13kgi0uP4jyEH86LyZsocW5d6z4Zl/vAfQbbjNKjzjOMoYk1H0/I83zTp8PiFXTdSavYBzNPEOgovw5NorFm4G/ZEUv96A8ubIpW9QZfb4VYQ9CXGB6zBcBAQiKfRaXH8JwnnZB5IRUdMOiTlshri803JaiVBzUG/QYCfdnEGFdy0nCVHwYsh9493keEmFCC5bFMueaC807YrvusKcPRikMYKgTn7PUG5Ckf6w3IM3KwASl/cVXV7smrlvpVteV7p4C20ySIaD8KXPc5vCAYRhfvxn8u73ToJFw1G9cQPkayk3EVUhT3GSfllOhTrorp8ahuMyXngLSKkpN4eBe9syhrVONyTorT4iHH1MvpS/y487kYmEWJivusKZpmSgMiw/j8NCAWrDjSIqUgcYj1WZJMXDzkyG6YbsyiqPSoJqpo2UDgQUI9fuRX9TtgAKQGtmgahUTvl4dEU81AMuYnuO6kZdXMkK0Nm9Nq9w/6VO+Xh5Bku4zfwZ/CBKfgrQSINTo4jvIfSiBoSqaEqaVuRXleSyIcURs3S05aMi1fW/CSWkK0amDRFsLM5tJF5TqPwsS4noVcaNUh37jOmyI54JQqOI9mhdke9Orw5eN6JaX+609fV8YNNBbUl/uy+M8sutaaXMOnbWHuV+03VfS9OVU4CyQjsy0KZ7QU7BymoMyO4ffP1OnKA6ZIoYJztkw6fRlL8j9cF/Kqfge03vQz+NJaynIKhXv8OM6zUkoas4bt0J7TvE9KTMlJnXY8oKfTfTgvzQ2ryriCwQBlQtTsB+c1ZnUc35lXG2SJsCyaxnnbVLMstCmRguiCK/AAOG7/m8vwHOSxESvvtJygw1nHP2Jcz0q6N3GkxrWs/DyPDRwxZRqcPh/9SaeY4o1r8NJE+2Hkdt1N/dVzKvYBJqa1e+CHKZxFcdCwLSuT+IYXMJ0u67LEsO4+C3Mrg/x43l2vwLRL8hc/L4tdfwqNnnENxXTj8xkZhHDSy4wJYpyr2k0JH2Qx5M1BVsOhwsovtqnAkq02ly9Ks0VJSHDBdiARNxxPETe6JEkRF0oPEAEQHhODASJ/2bi4XsIWmZkvkWF8F5UHTGkcKw+aQhTy5tEMhSZsdeTHR1BU6u+cQ494D35ORQc+Q/g0ik8GA9LXEj9uqed9Y6B66eIuNKHzQ9J4nlXvQ3NUfhjXk/ssJuUkThkv5+RZ7XktKc0Fkb8EZ3Cbwm124awthD16e5SCl6/8MApXZlHQWO1L43MZtzIy2SeZMN5tSWp4cB7/Pd6tSWoadsJz6rqTlsl/8RC+U2Yq0VjvS1tqx+f9glJ3XcB7kDkzvjSecR4LwwwayUXqqD8TsfL/1/8yhCBWecC5v5ta0hg6rFqSfcWGh4j96n151fTdUfX4kV/uuXg3njvMMIoO2pLd5b2/qvxvLosvjxkspccsGf40bs3KVmFTVQLn5Dw8LA3bsxiYLDrme9LGPDbuIfc9QGqq25zrilv9WJ+l2r44jmZc0wWD88Cglx5DrklwwRYqmnE1+wSdLNrvqB74HChY1kO2NN6nxafQwBNmEh3EM2ZzZUKVdKxLsJ7msd6APCMHG5CKXSuqYAVF8+NHftW4NSva+bIjmKRGhm2RKoQfzsPkqRO2q9pNKXo8ryVV6N0FGBK/uYigIm3W9eadIjgy7KSkE2HrS1vSlITGbcGMemy8WDwmCoPmJj01fCUl01ka0YyrWWHhU2bU+PenRZdcOIstj3/VmZIzDLHyAB78xUMoKsIP5+Vcee6vSsifN48Xifz5w5aYaItPofAp73Qwnw0vZGG4G7cF21s4i+I4NOHQUIJza5KZz6EwpReEL7F4t+bgDzirYkoAooO2eAU4iWIyfLwH31Xsgxkx+dF7U70vL3z+6KBjQq9phXbauJYVWR4/R90uNKXevCVFEMOmAot4sXteQy5F8O0lFPWrOpSry9HIlx+GZ6NpU1pFByFRiTycV5uqElLEVu03JR2ZEhRuGmhWZBAXyVRsGBi65cs4IW9MBnbdhdwv8nBeFZ+yJbG3/LClfvIHA3ABTZOKdzvSLUpiiqY0p37VeUF683jBVbdh0hoZxjXiupSXoK94D5q5yo8mlfseJv+Fs3ozo7d2IgvUDa8vY0lOjPsMrgm+SDc2p1T5YUu11K9KMV7VjvNWftgSk3S8xyHZVe03pQhzXdDJy/1OMrAvA8mUx3Twz8RCN7WklXE1K9Q74xZ+zubyRWXcxv9WchKNdlU76GaUNbnupGULRa4+JRWVB01BFa89QuOYnpKi0/h8Rkhj7jOm4FRLTurAzR6HfBdc0NvYN5dFKvX4kV+KTcqJuFkjmjSQcLT5ZUdAUWJyNKV2LKqJBY736MyGK5BKlndaEuAXeJBQNa15h/qlBymUAtKnxDwS1520aqlfleaxYXtW5IgFy7jPqvdB4qaUknwGFk8lJ3VQ3zLu38jDeRU/bknAKz8rNyOu86ZI+Apn8ZlKTqIRp3HdY8H351+1hORUqLMa6I/h5olACb4Dioec5zknytVtpoNsHrCFrtdSi/T38sNOZg2pf82fjqA51LKrhu0a6/5wXnxNhTO41hjg6n41KcMk4wYm666X0PQyvyY4h4LzxJcHxYPVtCktz9iKDlO2DD4NNZCmccrZtsZ6tdzWMmXTRJpe7YtAModP45ogcpZFLul/voz2tGhIACET9DN6LCCP2QRyUOE+Y0ryN7ct3hyev1XtyA0qHsKziU04JUbevPXEvUeiojeHRrGq3VQl788q43Za5I7ucxiuee+vCgaceT000UeGca0GF3QY8XXk3Xjzlkr9cqvyp/Au5db58997sZUw8XkoH/VlsGkNzuFcbKpZxr2j5XGkQ/pXHQl5ZNQBbXhs1BqbPh1G3s8ph9rJezg64CCTG7dmcS++lZCA0/BpPCuKTqxvQJ7msd6APCMHGxDvXFJ0tt48HuJV+01Bk9a05kWiw4CgyoOmrEJ9Waz9y47gYcpVcMM2FHMMeAuPOfjV0qN4GPAl5nolpXZ83i9TCU6jucqlLp2p0b6sJn0s6KmxNhaGJqFLbtimdbzjzsu7eh8MdZRXuc+YquCthMg3WHjzgdT4vIME3VyZwBp7L34OfRHus6bkbxQs4yXmPmeKtOvV31SA0d+wiinVEAq44iH8fmxC/ClNezqHgor5DLt/0KdqX8wLyYSTXk6bo/0oIMuOWJIR4U+hOeMmZ9Onw9Blp/AQp/Qn1gsTqvsMJDChCXz/Ve2mEHWq2vGii4xg6xRccBCcLCwpm6FMLzpgCxpSchMu52QqX7MXLy8iNqnJZyPlOg/pgi+rfSl5TPVc51GwNn86IhScghU0A9UfT0iqsi/rGO59aRQLHltvvXSqt8fEi9l9Fhs39zkgkJnizELZfcYUQAI3fvFu/P/gHF7mNXtBUHG/mgRxSMvaiJzkS63iEAzW9FT4spC51O3KCXq6aBoTu+ZGSBpDk/g+PTY2kNFBPb1cdDIDKjp07oGW94QmbCm0ik85eRAVHSgKKg+aksXjf3NZVbfpYmHUloap98tDkCxcQy4JMwfix7GZ8uZQEIUm8PP4+UmyIXuf92B0UKNNP554gnC0dlpvXIYM7y8P+j+q9yHEM5CwpaEsegdheGVdlkzdvTlLprLhMWw9/UlLmjI2FgwQ9LyWFEQwt0aU+TFjgs8GFpz0/tTtzomchMUpU+tZePG6LD2Kc0SCFb09W78/KBkZ/EwlJ/DcpPG75KSlKr49BV28DiMNvbugGr4zppRScn/T38FzEn44L+GTkVE02AXLtmr74rgYp0kijA7a6rmSObW5fFEQwTs+7xc5a8N3xlSsFwMp5mYEEri+ScriNcoGrvwwpIr0HpCUxjydhm1ZwWC7z6Ap4UCpaNppto/+pFOek/FuFI304bHpj/Y7Wwve7+WdGHAQKFJxCM/8ygO6kNe5VsZl3EeuS3mh2hlXkFXCLcPm0kUBjHBLtvsHfcCja/ld9b68ir43B+mdDlj95HdBbHvfXgLG93pWGjleA4WzmjQ5r4dF+2Dsb3w+gwZYKwcCCVveHeExPTS5mhVfColn5YfRBDFQkB6PkpN4N3heS6rAEuANrlewxXXfS8o9x3wn40pO7fi8XwUSOoBShzt6tZ/QdSetit7Rm8U7aRT895LyTi1Ydmh8R3/Sqfyrlhr7+d4nhl1E5DP4z5t3BgmlRy3x/HE4Qjki5WW+NEAJTGnnEIcZP5ER7d26mJd3A31r9FGNftWqKg6ZItEOLuB5VHLCkuwjb14HxY6uNyBP81hvQJ6Rgw1I4X0Ubxs3pp7g8jMDQUg/Z01lXM6pu7+pEklHwVsJUKaOOijEX/7x66qsy5FnxXucIrDiEHT7XGXTX/CjP7igM76/CnqQTjIvWLGEgOSxUSh5LFNt+d4pMWzXtAKVKOmpc87D33UeRaA3ZwldhOmwxpWc2lSVEK0scbeui9pwZzqaWFLAAov6JaoLTeN2WkznxvWsGBEb//60atiuzYS2KU1YrA8vAG46QhOYyBpXICmjNvUb/3ACicDTthBxXBchj/FlEAzJh2VkRIc06Qasar8p6e4k6RSsWKJfjw7oc3QzAxnSGVNyYDy2Kc1ARQeCFMsPW7INIEqUJkimbyulZJpKyQWnp0wbJn52c2UCjekIckK8eUxLy7q0BjenpSJvQArkS6NQaf9RN2Qa97B9k0BEne7MsChOdJu+OypT3NC4LdSzwhlbba5YUpuqErLZ8JiQ2rjPYKtSNIUXUOGMozt2nTfFT8TmmBpjFvbFQ46fgpuFqnY0W5UfTSqllGRhcMLLJjo0ieLEfQYNIKU+9Ny4zzimyeggCt7gvCPTivbrLcSVnKpq18GDaQfrG3k4L9Pm6CC+x4JlW8g0lB2yqaEU0pdF00ENf2TEIatt2JJBIrnpYIALZ2yZGJZ+OINgPm0wLnpnUYXeXZBrrm53TlV+NAmqmY0G4C8Phg26LqIgLljG+WaRXrCM+4qabY8NGWDtHhRxkWFbGu2CFVw3b/82JrJAgjICCVs9F19QJSdRZLPAKT+sn2PHQdIyrkHSUdGBJqBqvynBgNX7QP4yXs5JjkfpMcj2mJbNRp3J7s2NSQFvGJdzso1iY+NP6kJ6yrlH6nfmADMYQ8PW/qNuudcLZx14QawXfjV+L/SfbKpKiFzs1d9UiOk62m/LliTwICHXFcNRqz+egOdA45WLh1B0G1dykjlT8e0pkVVx6xF4kICMq896wsNR1W6Kxt+fhEyRtEM2RyRThcdw7VXv00OOC4B+NGxDU8Xg0ngPNgBE9/oyluCdSWbyJ/GuYQaV6yVs/QJL2GTSy+c+B8lQaNIWg371xxOqel9ehnN8HjDPqPnTEZjp5yFXivXh7w+N29Jo+NKQCnnzurn5bEj53ljG5uQ4kPihcWfYEH44LwGm5Z0YyhAPywZQMnpup2Vry0C/0mOWZDBx+8WtWOVBNGVrNyA1rbh33PeSQOJ/PCHNfHTQlqDR8Gm8ax8/8iMHqw8bUQ7U/Kv4+ZsrluD36Xfym4zr2KIy7b3yo0lI4vSzsG4XgBr05zBbi3lf/lW8h7ltonenpjUv9UhFB54FW8IzgjLnRlfCkye1IV6/f3mfCbHxnClkwNCkrUr3ra43IE/xWG9AnpGDDYh/PCUr38eP/AhM0nIMbx6rfYbzcFXqT2qylYkJe1mXnsgdoKvhAAAgAElEQVQP2KLNbKldEarR7h/0KdfdlCQEl7w/q0KTkHVxSk6UpHEtK1KDhm2YFjINvfIA1qz0L7juQn7S8J0xBOW14SVUeswJMSpYQRPgvpcUAyKbK3pNClawQeB0hGFfPDyvJVXgQUKwgIWzthTbxu20eEA2bEEacsUhU2hSdbtyKvAgIcZW40pOTIxFU45Zr2gaBdvW7w+qoikUPgUrWgKnC3RKRzippyG08JuLynN/Vaa55Z1glvPvoJ7Ym9PNzN2UJM8y+duriVnUiIfH8Oe45TFezol8oKodxZf7nCkbkJpWbJjGfr5XDI41rXnR1le3OSFafBlQ6lbRgfPtsfD3Fn4TU9jhn+2Tgio0jgKRwV80NVZ0mGLI5XYu3m2Jdjjab4tngwnhDJTzr+I6oSm6eh9kZ6VHLUf2oLc6oUlb9Nqui5CaVbWDjU8ePidudZ+MQ0uvG4jyTmzclFKQqyzjs5Qew/3ky1qSXUPZXPU+bdDUFDXXeQd1y+A/MXnr81PeieswflyTh05qQ7DWoIfG8T1Q2uO6hKDHmlYHxcsCv/ywpvdcwuZhLSAi8nBebfp0WLnPmWKcjYxqc6vefjCJnD6U4ByeKcEFLQ2Zw9/PHInun3ao4MJfb0B8aUtka0XTtsiwiKilTIzG+LIjuD5pJm/alJZtLr0slOpQ/hEes6XI54aVzTZRpYFF/E7bPh8Q8pnrPIYae37YK1NiFllF7yw6eS46lZqAgqr9jqeOTa77nCnyJ4+FxrThO2OSiVQ8ZAtJieZ5boyC82jwXHdTqmF7VuhIDdsgiYqM2CLJM65BGsgijbIgXxb3SLwHspuSkyjIo4NO6rrHdIYTbNJdl/JORs2YU8BXHsT9zpA/htQVTdviTWPKelU7/l2CTyjrkyFMlyXo2egA/vnjR36538KnbZG81e3GgMS/im154awt1xW3iYlfbBeJE3MiSPRr2J4V1OzVf6kXT0/pUZzT5iZsi7t/2oHmQoc3xj6YgYn+BLY0a7N8Qu8uiCyX+UnenCXfOzdAxu005H5aslt2BAV8aAI/v2ga755Nnw4DApHD4IsNXmQUjXJZlyVbHm/Oku0/vyNfVm+dNDkqMox3IA9vzhKjd2TYloBL10t5yahx3UkjaHHFIUi5z5nin2C2le+NZVX98QSydU44OVWhcScot/gUhi9V+3ENkCoYmsA5IK2P8IZYL35vvv8IByE9rvnTEeVLo7lznzHVxuaUOvLjIyDnPUiAJKmfn/5V1AkMp3SdR9o7JbehyTXEtOtZ5Z1b94A8zWO9AXlGDjYgRSdTkgJe05pXVe3YNNS05lXZt6ZFB0v6k8fEdMpjaSOklgDRgOi6mxJJBNGLzDeo2o8/Y1zLCh2HQWZEpFKfy4RzEmZcl/JCn6E5be6fviHT1kBCbxh0wF20Hw2L8TLMipFhPBiJfWQDQ4182RFLkrip/eYRnLclwTreg4mWcQP0KmJ5ae7z6s9jXEcQVWjcVpsrYUSnLIfGU4+lpRy7QB5imnThjOO5YDq2L2uJgdhjmYLjZBgWiwQ2Uw3bMWk0rmeVV6dDlx/GC7hgRReXGgVbPKSpLZppH+/GQ75hG14KlIYUD9mi6Q6fxu/KF1d0AEVQwbKWbF1Btkd0EN8dGyYGxkX7HWMvpWV1u2AojPUhG8Rj6pyA11ekUG2pW5FJFQ3H9TtyYmpmGFlkFMUniU/RfmzViodwLfuyTr4HZS8s/mr24lpz30vK+WMeAFO7jas4N5xa+tLQRhvXsspzf1VwyNFBXHf+JM6TcUOjWLVka8PmtGqpW4FkR98PsQ9msG07Zknh4LoI/GvmV1tEtmZcyUlmQs1eGHqJ3xT/1HkUPAQb8BoUmlRyzXZDc/6ZmFw0hSlu5UFMiSkJq2mF54GNHWVp3FaQshQeQyFRPGQLXSuQwO9X05qXPIb6nSga124defC7Hf2qVRpCyr0KVixBpbLwLZzB7xact2U74TpvyvUfWMR5WdvEcaBgXAO1jYFv1MuzSKrfkZPnBH/O40d+CVYs67IE4c3PSFwqM10og/Jl0Fzyf6tqx9ap5KQusHSODM8bm01ijMs7LSmsiTcvHnJkOP4kGt3IMK6jut05aeYozeRzxJdx8NUkD5HEFVyAbJTmYo+JAtRjWpKYHpqAlK3sW9Oqdg+2xcYVvCMqOvS2RBemzIhiwcqAuNJjlrwLPLaJDYf2Y5R14fOVd6KpqGl1JHwbm1PwetwDga9uV06agIIVvCN4nsq6LPEA1rQCHlGzFw3240d+QW97TE071PlSfO+4z+BeJMiC/omCt7AtqtpvSoApiX7hh/NC4yvrsoRqR/JXU0ta4B0N27Vh+t0Fte3zAQTDHrfku4iM4B2xYUtGuS7CPB4+bYvBvPiUztl5fxaDu1O2kAjHfr5XniHGrYxsD31ZvKvXDtyMl3PK9/qK+sc//J3Q2Ojv2Pb5gAyviLjfuDEl13z1Ptyf0QF8X5/8LqjiPdqLcX9VVXRACunN4TquOISNcOVBU1D1DS9kBQse77bk3R5IaFmovpdpIg8u4HsoOYlnGZHQHK4xy4TNKgddJPlxS1Q0hf+t+BRqh22fDwgMhqAU39S6BOtpHusNyDNysAGJdCfVxuaUqjyg070fJCSkh3pt972kMm4jFI7kmeo2FA7NjUlV3WaqzeXQ2ta0YoJo3MxgzXkPpnFy/4mTZFpqrA/6ZurAvXlLsIruM6ZkDNTugQme2mMW+lX7ddpyHi9/bx6yhuCcLfKGwCIeQnW74S3wr+Lz0aQqJCOd4BvvsZ7IJKjfmVP1O3OClK3aj9U8JV01esITPm2LsZ7J3cSz8oFMPCdzKIyrWRUax4OdxmnjGuRcJe/PioH+n/74P0COacP5iB/XxvJeS4IVud4vP+wkR5cfxr/nvpcE8vaTcZnEtdSuqPqdOcEPf/K7oPhQ3Pdg/A0u2FIc17TmIVU6Z4o/grIZXwaFfHQQzVnJSSf7xJuDGZ8FFalP3CgYV3JiCg8sOenQnFIHlnAdlR3RKeLjurjNO/hb3+sryIWZcIhr1BWXfjgDOs6MLZNn0agPosh2nTdV6YcwrBvXsw4GdNQWnDGpQERNMnfCl8ZL3L9qyZYluICmINZnCe1JKSU6apom+bNcryCrITyG4sW4mlV7ftirjKsOVa7sW9OSpbB2KhgatwWd6X4VfP/6HTn133/2ipeGOTL0WJEO1rA9C/PxDFDDzNlwn0HzxOyaWC8mq5TwFU3jxc+G2X0GxXp1G8zKzCBxvZSX35FBk8WnIPXxvJaUgoI+hb88CJXg5qS6zVS+N5ZlOs7tDHHeBESUdzoZQ9F+3G9sIIumbblHSEHzZZDtITjeLkuSvglyoMerbhd8EJFhW4LivHmHnhdI2GL0jfVZggTm70hpFLHI/JzGlZzIwkhsYjMVfjiPQnAY11XxKVskWKFxFF3GlRwoQucc0l/RO4tIwX4xLz6gyKgtwXnePMh4/qSTXk66EbcgRVNASlOeuCU8IxuAgmVMkfl8Z5J53SfjIufd88NeEOx6HGBDc8Oqig7YUvjHelEIcmtKIz1N5czAeOe3UVW3C0Sojc0pVXICzUL9TgyaavYiUDY0qeVLevOslBIJjutuSp348qAQ3GK9aGAYKlu/E81TwbKmRd3KCA0p3oP/PTShN8c5S5qm4iEMOQiNKD2KZyADYd2vJp3t+LenQPfSQxb6DQpncQ3HjzvXW01rXpC29D5GB20hX7nPmSLFrdqPZ5RxOSeyxMbnM2rDFjQd8W7L+XOvJgXgEO9xmn8OBhq2ZcVzEftgRoAD/qQlOV++NJooEgUrDmHbWn7YkgbTY1qCjJfn92kM/kh+I7wluIBrs/TDGTX6VStIh3pLGR10Gr+qdpyXzRVLaP7aIQUveX9WlZywVOsXPcr1EgZJ4m3MoGGufTEvHi2SJLmBCi6g6TOu5GQw40vrgd3FvCo5tL4BeZrHegPyjBxsQMI9KWGg0+gbPg2PAF+KxuUckIl3U5I+HJy3ZcLQ1JJWG7ZkVEWHKVNCph9T+xoZxXQkuICXGdev3rwl0xOuzulZcL0CFnpkBA+p8JieMuoHNlfEVfuh3a/bpc2EL0FaYtxOq6JphEZxlf/LP34dGuqLCEnjRLhw1lkn00vCI7CoDba3MoJ79Jh4SD9+5Id0Qk8X63fiIUsqFifgYz/fi3XwxpSkA/MhTBNleAznnZNC43JOjX7VihyLEe3n0MVcw7YsNk8aOVl5AL+v57Wk8idR8HNjQ0JQYBEFJwt3rrhbv+hRwXlMiqMDeOEyxKp+J4qawhlnGhUZwSapYTsyTZTC2p5bhMqDOqPkRkbW9NF+W5Cs0QFbOPehcXwvaz0aNGkGHiTQUDasivyraAq/OyUMxi3Qf5obViXgzWMB7ehfxYS5uQkv/uDbS5BJvD8rGnvSf2J9oJ/8+j/+Rs6N6zymdryOPTaub4b3GdezgkSt6ICWPTKiM1B0A2RcxUaERlgmKYfHMHFe+cU21bgVpmX+GSIu3ecwGa1pdbaMNN96LFBoqtucLVblAc3Hv5KTn1Xeid8rNGmL/IVpwO4zuFdofuemj1Q3hlEaV7MiF9zYnJIE9up9edXUkpZtGLN8fBk9xb+VEfMwt6JsYDiZ9NiOP4PnaO2xYQsacZqBm1rSktAemsR3V3LCkvwRNraUXoZP2w60QJOE+CzjlJsSO8o5qvflRW8enEfhFO9GQ0KMdnWbKYhiz/1V1fCdMZGhNmzHlsO4CgmU61JepIzePMz49JGxyDNezqndP+hTBcvYmFa1m7JB9b2xLJAAbrg4bVYK1KLaFyH1IVKUQIrgAq4f42bG8Yh164LwujbaH8fUnehqSlnc57Dh82Ut9cPfeyCVHcD5KFhBYU2QSOVBTLU9ryWlyCdxq3gIhTy35lXtphTkNa3aD6ClTs+VzGGQtTcvWvxCjT6nd5AT8MJZNDq+rDYiX0B2kfXPm+S65zReKSVEx+p9eQkIJOSCfsXHj/xCtys5oRv2CTyna1/MS1o2n6uUddGc7rqIjXRwAc93Jng3N6yKZ6PwmyDG8V3JrUGsD888onfpaXLfw5DPuJ6VQZdxM4Pv4hqehdyOk7gWmtR0L+0jeue3Uee+sEwhtgUeJIBvTjn3nutCXoJby45Y8ndzM7/t8wGRktIXR+pi6YczwO6+kpLr1H0WPpPNnw0JMtx1CVlS3LqWHnW2/ME5536lOqH8MJQXHNKUnNDb6ta85JEwQZ6hulRfMDCYoBhvFs8m1x1giol7dl3Ii8Ih3q1R+Zdz6vyvN4pk0Tu/3oA8zWO9AXlGDjYgBWMI4vJlUDiSThSatNWWyCweLNrI+viRH1rk86Z4EgpWLJGYMAE6OoDCoO6TcdGlxrst0ep7TNBJCmfxci2cseWBtOV7p8BF79WoSp3HEO/By6e8Eytoyimi/XjR01xWOGOr5qakUC/I6S+aXoMF1Kbh0mOW6Gmr9mPLQrwu8y2UUio4h7Uw9fykc4RP48EZnIcmuOT9WUFiMluEkz9/EqGEwXlbdNH0IRhXQOoJLKEo9WZRpHDCRBoPpWkslrhxoZGu8oD5BAWMel3iezn199imbCYo72AqdHWbk37OLBVv1kllJvOf3PaavSiCGDxZctIpEmK9lphD+c/48vNl9NZiydlmMZTNuJ4VPwoNvMYVnWfwVkKFxp3JJTcKkWHIs6IDWk5zKyMT/7IjuGYqD+BFyCaucMYW6hYlSgzeNK5mxVdgvJyT9f3uH/RBunIzg03bvDao6jRn41ZG5IjPxRdUxSFTjX7VKvKiig40vBu2ZNR//9mLDJZhW4zL7rMoZoqHsJlhtoV/1WmCKj+aVPU7cyJHjB/X4WZn0TAVzuDPxo/jmmPIoz+F77t+Z040/wXL+O9sYOiLIcc/MmpLICkbBxZclA+tlUJUtaMQ8t5fRTK3pnlxa2pcy8rgINaLz11yEhAMXktrD39Se7jOmRIoVnoMhSLv0+IhWybozLghJYheLWY7sFHy2KYEmfE5EUjoZ5cu/oyrWdX4fEZklgXL+P24xeS5Do/ZgjkuP2yp3/zH1+T+Y54RSVvxHlzLzJUonIHXgyGIxu20qugw1ee/90q4WuGsLWjxyKiWrbyck8K6ug3ylSM/PqLi3Zba/NmQPGMiI3gWM1QzMoprgdP+6HtzAnKgZIn4XqZc07MVSDj6/ZKTljQTJSct2TjV78zJOSXAwZvDcKv8sCWBdiSsFU07dLWyI5ZALFznsWUmactjQkbmf3NZTOn07pQe08+c92eRjq4buvBp3Fe1e3BdUWIaHtMStbcSyvNaEpjpce1/mrNVS/2qoIlDk7huu3/aIVuumr1oKGVaft3JF4ofx73juoPk7KaWNDaaV2Cq3vPDXmyZX0lJmB8N4pFhvAer2k1Jqfe9vgIP5Ut5kdXJzzmL+9WXtUTixdTvwhlbMkCM22nIWHXT11K3Anqe3rKvzXNSSqmyb00Dmz6NYQqlwK5LaGyIPKeHsviUxrXrsMbqfXkBI7jPmfIeYx4XB47iE3tzWTav9OF576+qwlmd23ILQJrggv7dZm2hdkYHnBBS13mH8BecezLvhHlLDEit25UTiRuHgdFBW5DbvK8pkYuM6E3M8XUJ1tM81huQZ+QQCtZgCi+VCbyoPPdXlfteUgx8FR14GDLFlZOa0CQelnzJhN5dUKUfzqjG55FkSuQmtaz1O0Hn8a9aanOpY9BsqV8VWUXxKU23SODhW9GBfAfy6et35GTKWXrUksCkqv2mrHXLD+OhHe/Wa9hLecewOOykr5LXzz9bOGNLGBcfkDyMa1lV3WaKlILhVaQmMXWY0jLjdhpN2zCKFG8WUy7XpbwUk9TuE11q3MqomlZMZt1nQUYpmsKD1KtX2kVTOAfMReAkMtaHwr12T17C32r2otGKH3ekRMysoBSKOQzGtay8zCoPoBFjhkRwDkV6YBFSiOZPRxzsY8KRN5QdsSR4q7rNyQgxbmXEfMzsEQYLMlfDeDmHKXc3GhYWm4GELdM8Gg79q5Zgh43rWZn0Fc7YziSuE1NpaowrDmGazHOz5Xun8Lst2PICpryKki7+3mzYOMWt6DCFcuUxITmsfTEv5msWmkygdp/Fnw1N6iyCK9CdU/Zg3MyIDp/kHZ4n+n1cl/KiHY/14XvZ88NeNLODGr17Lavi3ZhA8nzRT1PTCk5/03dHRV4WmtDnbda59hu2Z+Xv8uYtIcUY1/Gzi6YwqKA0svF5bDhivfoa1k1U6TFLEKCFM7aYbllMFs44DaRxJSdSMo/91xSs0LjO7tD3QGTEFg+AYH77nUyfxq34/YyrWdmKFSzj3619MS+yK+YK1O7BzyLYgohk/tzwGDaorjtpaVCKT0HWVzzkFI0btuBcRAdx3VB6VnrMUie+PCgDh7VyqpY67W3qX5PSrIussi5LlX1rGs3wFWyg19IFabhXSqmq/aY6/OMuyUHw2I6cJZDAQKZqP+RX2z4fkO1kTWtesmV2fN6PTdC4LVsH43ZaZEfE04YmHDoYG47g20u4389Dnhbrs4QGxue8N+ugq933kpLDUHoURbXntaR4wzY2p2RDyAFOrA+T+KIph/BFyVvDNvgcKEMsmkIjGh3Qmz29za7dA4w6v1/6Ggpn9b3eaanDP+7C4OSME7RnvJwT+AnDD+t254SmxOejcQ0AAPerSeXL4hkfSNgiYyuaxoDCl9FhirpxMS7nRP5HNDmb2vJOS+4r3+sryAk5bolkK96Nc1i7J682fToMspeWdQXnbDFrV+/LC+bXfS8pWPLqNmy51m4fueFkThDN6xzShE9Dmh1I4Odv2JIRGWJ1G96nv/2Pr0nQIHNPfBlL3fjXWhX7YAbvjwcJkQ0z0LKmNS+YZtl+nXJAG5R/lnc6Bn02Hc0Nq7gO70LVwXNAEAnpawUruNfdZ0zVUrci4A2vlkWT7sfBKRu3wJKt/OPrDcjTPNYbkGfkYAPiWgVK1XUHkxrXS7qIPYVCzZvDw5JEiGg/MLFF07ZMBYqHHNOd605aXgLuV5MwhvU7JJaiaVt+PoscGodb6lbk5SxoSL3mr30xL6vapk1pVfrhDLYCg5iybK5MSKhUeMwWiUPlAfydTJiODDv5IpQLPBebl2AjX8YSIhMP8uk5xap9EQhM1wUUGdFBTLTdZ6GbZ2PgzaHBoRTIm4OUgehK10s6BViTsViM+dKW+Fw4NSIu2H3GVE2b0irwICEEGk7LmCBOZCI569VtkCaR785U68qD+OecVNMYWnHIFJ8KqVCcArnPmIJ0JYpYKYXvXhuEq9o1FlcHX3HqyxcrC9PICM5bTWtetdQD/+m6k1YeG78jEbSBBwk0Eh2O14UBbZUHYZ43bmRU2bem5SVOLXrpUUtwyO4zpqr49hQmuyuYDJZ9a1pexnW7cgISKD0KNO+W753CZmpN08RtAEPX1pJSSFMLj2kvjw7m8+bwgi9YdvJzKg6ZsiGg7Md1Jy2Bj6VHnb+HhWG0H1tDDg2Y9lw8hHuu7YvjDmkt6RBlGA5XsIJ7nAGioQlbqEvGLZxD4xq2P5FRW+AUgUVHP85NzdpUcNLlGl7IioG99Jgl5vb4cY3hPI8Xe3gMzwd6dmK9+A7+8qA0q7zT+R0YMkpSXNsXxyWZnFI1b1abqTXrn4ZTppsbNzPKdSEvQ5HiIZisKWcs67KkSfenLCHnlXfiuuI2MN6jUeXT2GSwYRYK2XkMV2J9liBNXa+kpOGp35FzpE76+VO3Owc9fYfzHVUeNGV7xlBGbkACS7YY/CsPgsZHkhelPpRMcYJftysn2SfxHnx/Na15MQlXHsSmk1tvTob5DKw8iGeEcTuNov71FcloKZpyhkH8Lio6UFRWHjSlGC/UFDtmA3F4QWR6WZclhuCiaVtCMinXrGpHAeq9v4pk8aRjxicAgx4spUCgY5itN+/gpZs/HcF1qrNS+Hys3wEpY6wPWSGREVtVfjSJAlY3ewxkJQ3LuAJZFUMtPTa+Wz7Ha/bmgVEfcwIGjZvY6LsuaeP9BDYPxUNoTqgWYBp6ZBjPZhrkOe2PjGpa5EE8o+t35CTIMDzm4HiZNF/wFlDkxjXIL3kYtwBYiXdb6u3fxmQY40/qLcK4lqeauF6L3lmUMNiaVnxHJe/PqtC449Nzn4VcmTQzj+1sKkikpC+SAxL/KqTE3PDU7MV7N/TugqrfmRMpqn9VQ0D0ZyS5ruwIhi+bapZV75eHVHAeYJLaPcg2iw7i2tzyvVPwB3bhfvTmLKGTUbrFYd7G+NR6A/IUj/UG5Bk52ICs30jrx/qxfqwf68f6sX6sH//fx3rd9HSP9QbkGTnWb6T1Y/1YP9aP9WP9WD/Wj/9/x3rd9HSP9QbkGTl4I+377iGRP5DeJChRjfiknCq4APlFaBI63VifYy5vbkoqz/1VVb8jB453Hnps0lgCS1i3lx7TVI2rWUnHDo1jDcswuT/+59dAouhxcK2RUayWC1Ys0cdS6hB5OC/hT/6UJdhV91lIFkpOQg8dGnf0tYElW1bAoUmsuon3LJzFep8HZRBrQ/uig7bIjhhcF+3HvyNSrBuZJ0IRGQJVedBBSMZ7IO/wvb4C3eqSLYFWoUlomBk8WH5YZ1zo39O4llWxPsh7ClYgPxCcoz5v/lUdJphwPDyuO2mR9tTvzEk4GiUINPTzz1O6ER2ExMV9LynyntoXYfAkyYu+CRq8KaMqHtIyOJ0PUHnQlETojRtTyriWRaCfzt8Ivbug3Gfhsak8ADkIpRexXtBmPCZW9Awy4+eO9+AaYCBfIIHv3PUSAuGi782pwhno/+kdqugwBdlJLCyRlpUfTaqNzSmRtQQXnOySwCJSrIML+HsLlrHKd513DO/BeUhTlFIq8CAhEodYLz6nN4frc1NVQkzwNOMal3MgXensgrV5E/FuJyma0qDQJAhETJyu3ZMXLGj4NK5/Xi+RUVvwwiTJDf5sP/IeiCFddPJqmM1CzxZRtGXfmgau+RJ8OcaNjAR0Mvm44K2EfFbXXYAvaE5nSFnV/r/2gDALpWFbVs4Z0bsN27NC9ipYcfDM7rOQmQQS+pq7nYakSNOTiLum1yw07nhJAku2yNA21SyLL4iUn7Gf71VKQaZC2c+GzfhdaZDdXLqoou/NiTSr7IglHqzg20swzffpMLYM7ufG5yFNIUq0YMWhOMX68Fxm6GK82xLAhVJKVR4w1cv/0qjO/3qjXNMMFA0kIPGJ91iCWy79cEYF5/FZS05agr8u64IM1r8K4hflpO6zpoTiMRvD9VJe5IUlJ/B3FU1BJjP2873wUnVbyvVKCjjWUVue/ZRJlZwENat4yPksrot5+I6uZkXeGpq01dl/bhGppHE1q+7/W5mcW+N2Gl62KzkEmx4yxQdTsGKpxr8/LdcS5W2854gh972+IoQzIozd95Kq98tDkLwu2eJBcp8zxX/A94xxMwO52EHcG5ERXDflnZC8FQ/hGnddgATLuAoTfvg0kM3NTUnI4botkemVHoMsK7hgC/yF4ZeBJUj+qvZrj9s1IKOL3lmEoX0Unj3eY0x192adAEzipYNzeCfwqN+ZU9UfT4gUrPwwPFWkGwrBbG9eMLolJ2AWZ8go5Y/MCyGuu3pfXq7zhu1Z8Xi47sBv5E9aQlQMLGlanw44rDhkqhNfHlS+DM5p1X5HAkncdnAOz+PQON5NNR9PyHObQZnRftzPjVuzqvnTEfFPlh6FHDk6qDHvWVwvrkuQHhq306r6+eX1BuQpHusNyDNysAGJHklKojX13NFBFB4MV6NJLfrenLrxr7XiMSg7ArNvc1NSue8lnTCf15Iw3y06ZjHjCrI0QuN4Aca7gSZs3JoV3WtkxJYE1qIpW0zf5Yct9d3fBVTj1qwkjgcWbckGYCpyxSHocYPz+HzUlpPE5LqbEmpSoU5BpaLH0Z4AACAASURBVB6WqcCRUbyw6W1QChhe3+srSBw38VKlubLsCPTA1AH7MngQx3ssIdW0/6hbFU3jMzGvxPMajIoMc2OTZVzPglP+SkrV7cKf97+5LNpr3+soEPxJS5KI8796Dsb/fXnBLhLNWnFoTar5GZ02vIjfkendxo2Mqt+Bn8UMCqZeF6zAmMkEatcFpOEytZk6dF/aEiM6vQYVHSgCaHSO9qPIqd2Tl4bCl0Gxw2uAlBySvXwZJ4iqYXsWqFJtIiQZzbiVkYIgMgrTcukx7ft4FR4n733kDpQedc5D6VFLSCuNf39aNOnV+5AlUHnAFLAAsdHEjpYes0SP7rqbEnMjjboFy/gzwXmca/obgnMoHgpWLNXwnTFV0YFGxZ/EdxHtx2dgUGP5YeTklHc6yb40wPPnR0YcnX3xEAq/oz/pFPqYP2lJuvmGLRk1+LP9ynU3hRyEZSc8rPSYJX6CeI8loWrU5LPYpzm0vBMNlH8VzTB9KoElW5DeNKqG3l1Q3iyaCeNaVkh2xrWs3PclJ/8aw+vNAaNMT0RwHp+X1BrieJl8HR10MK/GzYwKP5yHN+KAKV6Yig6kHXtMS3wNDB+lOdq4nZbriaGXvjSocsZN+JYIw2AYYvw4nltbQtMotPWfCS5ob1UHrjtmuYTHbMHcenN4fsX68MwtnLHVppplKVyNq1kV7XfMxNVtzvkqnEG+Culc0UFbSIb0tAQSaPTd92CmJR2IXjV/EtcXBzX8foumMJCiyZtBlNF+W7392xiIiEfwDKb5Od6Dc1LRgeLYc39VvD6VB+Btcl3MP4GuZjo6z2VNK/xt4oE7bKm7v6mSgMLgnC2GZTaYzU1J8Rb4MpZc4zUfTyilFDxeD+cle8V1B/kVbM5dF/OCdC5YdgANGzYD11p+2BLwRiCB76LkBP4eepA8lik+C6Zw09xsXMuqg//zqApN2OLJaNiWVY8f+VV0wJagRNelvAxFfG8sK/cZnXFxAn+/GME1upuUtbpdAFyMftUqYZkkhrXUr0oqPA3YoXcXlMdCHlSsz7n3Hj/yo5mZ1uhjbeReG/bJ96ZxOSchgsaV3BPZNu5Xk5LyTuQ9A0jpkeFQsGo/nmsM6P3GP5wAvlu/UzZsTkuDEeuzlP/NZSEPuu6mBDkeHbTFoxXrdc4ZM0T4zne9hOFX0TTexZ7Xkur//rNLFU3h/RNYxOCJREG+e43s6noD8hSP9QbkGTnYgPyduSKhR5y+Vx7UYUY6rK9huxME5rFNMTJzKsQJb/GQTjIf0Mmi0/j/VftNSVR1nwXLf1MVTOM0HcoUU0/lowOa166Np3W7csL15lTJdSEvnHaG2TGzofIgirXiIZ1NkMb0KThvq0u/3qBC7y5gWns9i83ALB5kxNmS7qSUwstffx7XS3hx0mjLRoikDuN6VszzDN0KjevMhUt55bqItOqKQ/gZvV8eEvNbcF4Xz0fxs4muZShk8O0lMfTH+sC+D727IJQpmvIrDsGEGJrEZJWUnep9+Hu9OUvFPpiRDILAEl4E7rMokB4/8iuPDbILM0SYQRAe08XLbQcvqZQSPGj8uCXIT2Yx0Dzpy+JlbVyBaZw0pLIjOkX8OrJLiGCu250TzGRkFOF5xUN4WZV3WhK0ZVxDPoP7LAyfoXG8RGj0JanGeDknwYqNz2ck+4VG56p2mNyr9uOFev/fyrBx0qz60AQ+06aaZVW7Jy8p4CxQ3WdNQTGToERq0cbmlFIKhmHiizmRd13Ky7QyMmoLmpfEq8CSE7zFa5QbrvDDeSBm+3U2SMIJCPTm0FgVTePa9acsMfobV3KC62TR17QpraIDCPBkzkLo3QUpJmJ9lmr67qjy6clg+DTOB5s3j2UKVcm4lVHue0kVfHtJMjBIXQs/nFdlXfjdNn82pAKLtvr8994nyHM8+Ewggch1Aee9aVNaJX6xXYUmQUFyXQK6u/H5jBQ37jO41iPDOH/NTUmZcpd34ueuzbYgovOXf/y6YJcJE6hpzUv+D4EdRdP4uUSHGteQZF085AA2iNluakmr+HEMG3xZSwItq9pxzph9MPiz/UJiKzmhN10aUFHWhQ2o6yICMIktJm2qqt1EoamDGVm0NWzPylbVeFmbyPUzLjRhS36Px8agqGAFzVTx0Jpt2YjTyHjzGLjUtOJZdvjHXYA47M4J/MN9FhN3on8bt+I5GxmxxbBNZHn44TzwzTnc+1XtyLhJ/GK706hez0qAoXErI9duwzaYxut258TYHT+O80sIhPsMNmtlXZbARApWdGieDiVlY/r4kV8Qxt48/t6q/Xgu1OzNq/JOS8Jtaajf9OkwhicT2Eq4zpsC5IiMOECJ8Gn8u9wGcaPCzA2CFkqPOgCCzK+2qHg3hg2BJVveb948rolv/MMJGWxFB3Ft8R4pP2zJe7r4FK4PPlP9q/q5/nBeBd9eUr6004D4NKqamO3Ag4Sq3peXJoRNPkEmjVuzGIhkcU0wfDjwIIFC/5uLMtSI9qPRqzyAdwWHKyRJcsNStzuHe+pKTtQSTS1paS5ZX/B7cl1yttkMGaURnkMxhjUSVME8FebO+FO4v8q6sFkn6pn3U2jCVgWn1ylYT/NYb0CekUOCCI+nZPIVHcRNykAeFkStX/SAu60nWTV7UUjH+ixpVEpOOFQQFjo1e/Pq7d/GVNV+FH/1O4EbNG5khIXPyQWnKsWnUMQTP1p2BAVq/Q4kK1NWUjSFgrx+R04ePCzUjVsI86s8iKl9vAdFT7zbIWRwglizFy9RvuAZrLTj8345V/5V/XLoxYONhXRwHg8l/5vLTgqtDo+K9VrCbjeuZqUhefzIj0CnCVsd+fERsO/fmxPqTsUhEHhK3p9VjX9/WgUXUIj6MpYUbQxO8+YxNYz3WOq3//E1rOJvIAck2q/Tjufx71FiQhkZpWOe15KYoK+ZDrvPmVL0hd5dUMYNpNpXtZuSjt3csIrp6f1VpZRSrkt46RmXc0I6YWFF6ZN/1ZJAyYpDoIyE3l0Q2kjRNJouooILv7mIgLVJ/N3uM6aEToUmnMC50mNO8nysD0UWp7HcEkT7UUAx9I5krIK3EqpuF5Kio4OQXZScBGbZY2P1z02ghLwlcG7qduUkQZmJ1cxO4Hlfm3CulFLxHmBZi4eQok3MamAJsi6Phc/IrIryTo3+1GnAG7ZkJDTLuAIEKvMIik/hnAUXtEzrQQLbtVEU+sz2cL0C9LYvjXsp1odmjUFjGzemZCsTendBAu18WchDyg9bkg1BCUXZt6YF2eq6CNxpZERLPN5ewnZN0+5cd9KSSmxcR/HSUrvyv01Cpzynar8phXTFIVMmlh4TU+SiaUjEKP0gwjp+3JlQV7U7mTTRQaeII2q5YBmFT7QfshLjZkbFj+vfuRMFUNGULRuA4JwtTcHgz/bLIKNmL6531wU8p+o+GUe681Fcm8yc8Nim+vDfw6p6X142uCXvz6riU9guxPrQ6PEZW9OaR7N9L6katmflfHHT4Uvj3HKrx8l5rNcS6d7jR34h2hnXstII1+0GlS/07gIKu5Ql4a3+lKUu/XqDSGh8GWyvPaaDWuY9sPmzIdlQ8Flb9M6iSBddF/KCbyeitvQonm382cZ1NJTenG62cri2A0s499wqBBK4tn2vryjjGrIefGn8mdA4vntfGs8dPsc9Jhoq3pOVB7Gl8aXxLOPAR/KZmL/zWlK5LoBaWL8DyexNm9IiH/RY2HAxebuiA5tn40pOJX6xHduePD5PTWteGbeBdSYivPunHar0GAYGVfuBcY6MoFHh71zWZUmwH5/nBct45pZ3YiPOQRgluxubU6qiw5HQ/fD3Hlx7upGuPICNZPlhpwHhEIHPjcAS8j0qD2jp7J20NM7uV5NCj+P2ltK0ygMgFHqzeBZtqkrIc7umNa9cd9IqNI57rqID9y23E0ytb9wKRYDHxDO4+JQzTKk8gO+gaROys4qmnLBK9xk0cHynG1chCy/rQjZS75eHlOtCHk2Fbkbd95KqaRMohMxQ4bCR7/bgqfUG5Gke6w3IM3KwAQmMpFTBiiWTkeJTKMI4sU/9civW1RfQDLguwO8R68OqtWlTGhg/jRiMDjppu6XHLAlTivU5qL26XVjn17TmpcCLHwdOkxxu4gxdr6QwRRt2pj/GtaykXnO9euLLg/IQ5NS7ogPeAddFZ3Jf0YEimlkfoUmnAHSfA0bUc39VNPtKKRSmOvOD56V2D9LWo4NOMVN2BJOTwJKDmCw5iRdDzV4Uev4UpkDVH08IirKsCw87cv/ZuFS3oVB4LjavmhshcSODn5rXlroVVd5pSfFT0YHpW/1OrMPLuixJYA5N4oXruovvfC0S059EgUVdffi0Pi9aLlY05WwawmNAMVe14/wqpbAZ0y/3khOWoBWpO2ehUtZlScI0efnhMScHoviULXIPFrgN21CYk0/PVGwp+vXEMtaL4qV6X141vIAwQ28OTWdTS1qVvD8r8pbyTj0NvYzzVLcrJ4Vb/Dj+e7wb127Dd8bgtcnjs/peXwH2VOvmAwmdPbCELYA3h99/7Od7ZZ3PYpG4ZL74KQkIzkOzXHrMkoIw3o0/y00D/US+LL7LghUUbWyMfBlcR/U7MeFt/nREsiPKujDxdF1CYeNLW1IsREZwfZS8Pysabo9tiqSo8iA2Y00taZnGui7l1Z4f9joJ92lLzkFkGPeE+yyKq6r9KL6YGu/LWiJFLFjGhD6wCBnZXx7us9hIVXSYMgRhgBw9N/4UGpjyThRcgUWcz/qdOdlGVu9D7gdlW43PZ2T79fiRHxIqzfxn0KY3b6nRr1pVYAnFtD9lKd8by6q5YRXhkbfTgvUtOeFscKvb0MQ3taTlHo/1WfLcCS5o3007CsnG5zNqw5aM4KEjI2i6rH/epHyvr6i6Xfg9iBb1r+LvqtuF7WNo3JZmp7rNlCRrbkLjx1Egx7vx/KxugzfOeDmnKj+aBL6235a0d8oEi6ZtkaJx81y9DxtgNp7enCXyPRbIdZ+Mq/BpHczXg8aPeF5/EsVeaELnP2g/HjNVmCXkuptC453E0CI4r/1CD+che1vSQY/DjkSuYNlBNLsuIVTVdRfNtFJKAkir9iOvhJlC3EZtCc/Ag6WvmcqPJuGnGMHnqThkqo0bU7KZ9LwGydfmiiXV+HxGQl3LjuB35lYrsISf5XolpQqW9WZqwEEre2xT5KHcLnnzeLf631xWbV8cFymxf9USJH5o3Mn5IZK6ug0DDAbvEgNfcQgNRe+Xh4Di1jKvwBLe24EHCbnnvHlLsnWINHafRTMR67XU//Gnv4G3U29ROFxiECg9FwxYrP54AvdO1skvqWnF35/51RZV8v6syLy4WXVdAio6ftwStPv5X29Uh3/cpYyXc2hmxvHZmlrSIjWtbjPFK+fLoGmh1yj8cF7eB2w6I8P47ut25VTDdmwwXRfx52O9ltpcvoimZArn/G8vJNYbkKd4rDcgz8jBBqSsFSt7ruRZbDAlOfrenHKdR1HV+kUPDHkJZ8IRHdDmynltnNYvVF8aD0yGFzVsh+nOv4oXecO2LFaemsfOwofGZa48jatZYd8H55xgobXBesbttEhkXBfyqqYVE9i63TnJxmCOBEPe6j4ZV/43kadQelSnEF/NqsJZFILGjYycK75E6KXgtqjkBGRAsT5LVX40qao/nlBlXSiKGGDle31FDJ/Befxf2RFLAgabNqVVvMeSKd+GLfBj+LKWTAeZqVGzNy8bmuggHpqFM85nC43b4r1xnzMlOZg8+ZITkNCkfrlVDIne+8jfoC8i/6vnVMkJ+C3iPdgQ+dII16L2v3AGAX7VbShqlFLy0GbaelmXJdkjxtWs6v5pB15Kl/DzqvabopOPDKP4YePCSTUTkwtWLGnwaPosOWlJ/oXHwu9Ko2HhLCZsHhtFgPtVFGNM8/XmUOT7sk5Bb9zKSKgcpTiRUTQ7NPHHPpgRU3f9DqTXF87a0uAyA8Kbd4zO5YedZkwppZo/HZGMG24f4t2YNtfuQXBh/lfPOfINy5RmNt6NotNjonlk9kf1PkyUI8O2s9HK4js0LmOyXb8TDVa8BwZ540pONhbM5KEMkXk77nOmNDrcbBasYKMQHtN/nwkoQdkRyPpc503ZrgQSaGTcZ/EcKO+0JEHd98Yy9N5ajvaNfzihiqb+egPCqWjDNi2DbDNV/U5sLfwpJ/Wb2nJmIYQm9T2ir4uW2hXxJhTOOnAFStDYsBuXcxIa2LgVxlvmvBhXs1Lseu6vwkx8E5kbvrSW3ekco8JZncasvWJF7yyq//6zVxrA0mP4O+hVoLa+6J1FFR6z1dGfdIrUsGq/KT6Z8sP4u+hfUUqpWC82WeWdTnFfsGyLH47DEwb3cfJbOKPDGXu1NFLnUTS1pGUow6K6YRuejdX7oNNnDgeT1ktOagnuhbxjJtZBmsy8+cY/nFD+JJ79LLY9NibfxUOOvp+ZNB4bzSfzO0ITuJ8Ifag4pBuUlyG/NW5k1MaNKeU6b8pWxriSU/f/rUwppeS7rN+RU5tLFyW0tqIDEBAOY+gfq2mFZNV1Cc3rhs1pwBLanSFWvEd7eWw9bLoGuXLNxxPK/WpSmm9vDv8eG9KG7VmENd7MKO99bJP4Po2MYggVeJCACbzTUlu/P6gKZ3Ed8vd3vYTPxy15+LQD6AiP2bKRjvXivuNWkEGeki81YT8RRBjrczJzGM5LY7v7LL6v0LgtyfYcTnpzaAC8WUu99+8RVd1mqtIPZ0S+WziD9xJzbPj9MXssOqCl1MyT2g/pZmhSS2hvZJTrThphuOfgYfG9viIeot0/6EO4rB7OlXVp2eZLyBB7LjYv8t7CGdxPlGOVdzpNVKzXEsCBN4v6gQHJruS6B+RpHusNyDNysAEpOpmCROGwJUSTDVsgPXCdNyV9lKZJTt+r9mNyQ0mCN4dJlfEyTGlM/A5NopihxMObc7SqbGRYrJOy5M3ipeLLOJPu6n2Y8vgy2BQYtzDBbHgBUwsmvBbO4AXD4qpoGi/ioim8RKv35SWALDiPiRANgqEJvLQoi+GxlkzVsC0rZjZq7UtOOrSf8JhOIV/AxqCsC9Om7/4uoMKnbUm7Dk3Y6id/MFTRO4tC1mKDExm2ZatResx5MVUcMuGdmUfz50ujcC6cQSFTOKuNf7rJqTxoCpXJYzpNRXgMBa37DORe0X5b5DkFbyVE5tOwPatcd1N4mOuVfuVBTNRIeGrcipAvUqVoVuaLoHFrVpW8PwuDYtaSgocBXkXvLOL838zAR9KBVbjrvJYsZLBpoxepcAY/v2q/Kf8OJ+seU1N8tFGaOmpu34qHcN4K3kpIMnvJSVwjrjtp5V/V1Kg07oENWzIi/appRQFUehSFL4lbtS9iE8bU9YZtoHIVfnNRNW7NyhSPDUjsgxkJH6OXIzqIwoKpwWVHtDlap5azkCxYRlHBIoXfoy9jiUzAn7SEkBZcQEMbnNc0q/uryn3GmUZzW8eQL+NaVjZ2gUX8bvx7a1rzUlA3Po9mjRsnbvC8eZyX0g9nlC9tSQHIrcM//uHvhH5m3E6Llyw6iA3O/84DUn5Yf9btWeW6iCKb/y7DML33V1XVftxTDFAMLDpp0tFBW+6jeI8lxbcv44APyjvxvOP3L8nwr6RUvAfXGGVwxadw3XNKSv9LtB/PHnq0OGAomtZp8FlsdBmqStJZ4Yy+73XjGEigUPO9sayKpm311R//FtfMtawkTRu30yItKj3m/E70HEQHcC7qd6Dx86ecQQt9e2Vdlsh3vDkMPEITmqCli7OiaWz8CG1oeCGrmjal1YbNabX5syEMdzrQ0Da8kFV/+s+viXwofhzPL3/SkR5Rk09vX2hce5nGbGkwy7rwXXlMDAi4jTVexnXZ1KKpYw/nVdkRSzU3JlWs1xIvY8kJy9m2agKUUko2HvSrBedxDfE5Vjijn/M6tLKiwxRDOjcXlDBWHMJzgQMZ/5ugwhEeUr8jJxKgwBLktqVHcU9M/vxFeMMG8P4IjzlhmfEeSzboxadwngqWbVXx7SkVnLfVcyVzatOnw8qbtWTQRzKhL+0M8QpWUDg3bs2q0g9nlPsc5KuRYVu2poFFfQ/fzMjzSSlsikqP6fd13lLPxRckgJWf1fMa/r6iaWw4iofQ6BJM4n41qULjtrr/b2X4fHpoRApi+LQtvj2a+4NztgzrKMWr250TEmRgST+L9ubFP2Vcz4oUPJDAny+axuCB3qnAEoZEvowl0j8OEQIPEirwICEEzpZ6bTjPwB/juptSRdPOls21mlxvQJ7isd6APCMHG5CKXSvKeBmbgtCErf7rT19X0UEUyrx5KzpMvDj35NXjR35gTo86cht/EkXB40d+Vbsnr+o+GVfRARS1/lVLyE2RYdz87ntJ1fzpiFB5wmO2GIBXfrFNbfneKXmx8cEZnMefLVjRBI9JZ4LnsUyZABcsoxAuOYnPxQle4SwKFeq/t3zvlDPx0AZAb86S1OnSo85EyH1Op4DriRYbM9KcgvNorCgZiPfolbc2bhYsr0nMNp0EbG8Ovz/lNcG3l/AS6sZDnEU1p6LV+yBZKx5CoUI0Kn+2P4UXfXPDqhR9RBWS4lLTqtNkJ/G/FSzjvK19OUWGbaFzxXvw90QH9HZKS9ZKj1qypVJKIf1cJ3h7cw4pp7kxKZO7eA+KOnoqaj6ekA0V09yD87ZIpiKj2EgEEhpPqvG4NXvzQL/O6a3BOWjda1rz0tjy7+LGhRNgeiK4PfHm8Xs3bUoDd5vSWvS0JTQhkq3EqHsrg5Tdvfj+vXrCS3hDwza9tftgBgZfLY9TSqmSk5AwFKxYauUX28QLxQRg972kmD/j3Wgq6nfkxFwdXEAhMPpVKyRJeRRrFYdMMZeysKfpMjiP66W5KSkNl8eGpyI0rovnQTQrTZtQ3AXndFq8Nqt78ygm6UcpnNVY0JccxCjvHX4PJPHQ1Op/c1moYLFe3J9F03ixb/neqSdQoDyIxfZmnSlkaBz3cvi0s4mlTMm4lRE4QnAO1/HW7w8q4zowpbFe3CslJ/B8qWl1KFjG9az4vDh4KZzRRD2NgA6PafJVQjfYWn5VeQAG6dD4mkJyEdcO8bF1n4zDZ6GlI7xmwqfhhaIUxJvDNLf0qCWet7d/GxNyVXgM301gCddU06a0+HRILyTxaOv3BwX2wA0hn0cbtmSUcSsj/gf3q0lVfMpW/+f/+ltV3WYKec5jY0Mw+LP9In9kCjmx2LE+vSVLOgAG91md7q4lg5ERp4GP9uP8cejFZ6ZxJSckLnoDidYunNWDF20cN65nZcMWHYRkrardhKk6g++XVCOlIFXzvbEMuIamJPmT+HwkJlXtN4XkZlzJiWQzMoJrqewIfFHcnIYfzqOh1M/C0ATup7JvTaNxuook7/BpkMpIbeR3YLycE6lU8ZDtEAizlqRvu17CppSgBT6PaPCv3QPJ7nv/HlE1rXj3bdyYwvNIb5IjwxjylR7FdUJZY90uyDXXbvwp7yLCnhK5jc0p8YbUfDyhKg+aMpwjFjp+3FLdP+1QtXvyKvreHIhhi9pTczst787oAHxWtXvy6nnvaXkHBBccH2CszxL6XdGUQ+wjkIJ49ni382woOaGHqJvTqvKjSYFzFE3jM7OBKpy1ZfNfftgSTyThBb4smvN4N65VUupK3jq93oA8xWO9AXlGDjGh92Ji89nvIU/xvb6C4vfhvAqfxkSKGR9FU5ga1O7JC8kl3m2J6YzGQxp9C5ZtoY5UHsQ0if/Zm8dLhFIasuWjgzA4V7dhmtJSu6K2fn9QppuVB9AAUA8dHnM8K4EECpWCtxLq8SO/qmnNi7yLSF42QNz0EKPYtCmtAouYnhAfySPejYc2ZRXRfvzn0qN4GVR/PCHysOo2PPTj3XhBlR5DMVc0hSlM7R5MB43badlGUPZVPOTkAvAhSwqNN48XPOkhu3/QB2mWlm2RdBQddMzY3BhRAsTJXmgcxWNFh8Z+njdFmvLff/aKlIXyLONmRpo6GnyL3lmEZO8AzpNxOScSHjLfmzalRePvsWFGdV3ICwaU9BtO4Kv3Qbe9NkPCuA65RnNjUrwSNXshkfNlUUCw0PHoBpMEId/rK4J5rNsFL0JL3YqDmL4AMyPhCYGELdu00qP457Uv5lXJ+7PydxfOOpkwLbUrgmguPuVkzAgeWMve+GJVSqnRr1qV604aE8/3Z6WI55St8iBelv5VNEJ1uzBRX/vZvHlNJfpoEtLGk5A/Fc7acj4iI7Zo8omm5GffsDmNgnDYFn9A2RF9rRy1xPgeGbVFFld5AJPpsi4UTU2b0gKpoFkzfBqfv6YVkoyiKUdGYdzKYAJ6HZPm5qakijychy9KbxaMa9m/ek4Z17LKdQc5DJERWzZKGzemxHgeXNAIYSJgNTUsOKe9Lfo78Kc0weoYrhWeg8oDuAYP/s+jKvJwHpNfPcml4bXhhawMMkpOainahbwq68JzpHBWE5h68DuSoEP8LqWa9Ew8fuSXQig0qUlJ2nBMZLdxM6Pqd0Jyx40oiYKBhC3GYZp4jatZ+L6O4HsqOYkJOElgLN65GXHdTcHD8NkQmmbt9TCuZgWNWtVuyoBjw2aYjzlcct2BJMn3xrJsJ2iCDizaQujj54oO2jLocZ03BVfuOm9K1gubtYoOTLe5RWFD2/pFjyo/DKlP6TH8fuHT+L7LuixpFokUjw5AIqQUzNXRAVxnjc9npJGhN4S+sOh7c9h2v5CV7KSqdrx3wg/n4WPQdLvogH7eaLw7M64891dF0ls85PgSuR1e2wDEj6PJpH+x+JQtzXtNK56XDdtxLphbVbsn72y6D+hnyJTeXOj8DZ5z10X8bx4T57r0wxngr7XUK94NjwQPX9YSshU3jcRd850eXMD9SCmYcR0+Lr7bIsO4h2joLj+MgQ03dcbLICEWvbOofGlL7il/yhLPZ0WHKb5UDh8pNgMBigAAIABJREFUMQ08SAAq06Pzod5ZFAS5cTutwqedIQMBCAQuyOZGD5z8KfjmSG5zn0Mj7Lm/inpIezZDE7YKDq+b0J/msd6APCMHGxDfFLIxmLtR1Q6tvHEZNJh4j16Hayxr8O0l6CrvpmTKFz+Oh8B3fxeAgU+bgouHbJFjVbWbquE7Yyq4AMN4WRemTp77q+rz33vxcDHx8hn+2T5BEVKvvGEzTMQFy/jZDLuL9eJlu6kqAYLMEP7Z//NnD14CNyEXCc7jwRk+bYuZOzhvixE0POZ4WYJzeODwYACa61JeimsGWNW+mBdcIGlEbCIqDumG6ZWUrKCLpoFijPbbEp5G/WvRtK1e/U2FTFWjA3jw+jLYLlGPTCmDf9WSMDROJhkeGR1Ek+AxNWpxHi/if/rj/4DkTZO5yGxv+M6YaLyL3lmEebjdFHRidNBWN/61ViZRlN55LDQgjx/5gR19c1mKgOgACqnIKF6sFYcgp3NdzAvDnWbGqv2mNICECbjOOxKq0DiKOb7sI8M4v4Wa0765MqFa6tAIMJODBJyiad0IX81KE8Gmklks5Z2WbJdIP+LLPXwanzHeg6KTGvPSozCLG7cyqmZvXnxUDS9AlsQgRG7+lFLQzO/MqYpvT+EFm3JAAeEx/M7E2XLTRZQlZQDBeVvN/dM3RMPNELjG5zPiG4oMO4VRaNLBQVe3gWITHXCaOY9pyd9FnThpNU3fHVXGrYz4ogJLkKsZl/HCjnejgWnYllUFbyWQpaCHCiTXVLWbIs/iZLd+R06KIiKn/3cSrPBpJzAw1mtJgVXdhu0d76HaPfheWIgG53F91u3KOVCFGxnlupsS+EJ0EP8O5SbMGeIQpfQY7sHgnLPFiPdo6taU44NgTgk3nMSgVnToYu86fEw+/V0y6JGGbtdLkKSVHsNG5bPf+6UhefPfShGYOu9Mbikpo7eB/i+PjYwSyiFJ+qPEkM87To0p6ev/x/YnNlws1MSX0YviMfJwXoXH8PxiHof7LJ7R0X7H0+ZLQ2r5XHxBbft8QORr4oOYsuW6YbYJvVYc0nhzON+ui6D81e/MiQ+weAj/vHAGUpuqdlONftWKYcFJbRA3LWdwpK8rZvfQY1iwjO+TuRh8lkQHHQgDQRztP+oG3W8CEioGT8a7ce/W7wTlsX5HTkAakYfzoJ8dw8/hxifeowM8daMYGbUlT4XNV+EMGqGCtxKQ7I6jiX/8yK+q27BBr9+Rk4aGIIAf/QFZFnyeuV7Kq9gHM/h+7q/KEItFuce0nniOK6VkI89rhVvZ0mMYfjRsz4JKaaEuePzIr4IL+vl1IS8ySNLjCr+5KJtBona9uTWYdD0c2Nicwr1wKyPbvvqdOZFS06O3YXNasL7x45Ygx7mlcN1NyZaSEsvqfZBvMjDVY5tqw+Y0PCjaLL8Wb87Gs3DGGTh4TEt5bs2sNyBP8VhvQJ6Rgw2IJ+GQiEpO4GHI1XFwzhYJlDdnCWKQa3cyt8nDr9udk7Wv65UUfBxpFAiHf9ylKg/CQEpDODGOrot5tfmzIdHZUxpV+dGk6Ln9q5b6439+DZNebRAuPmU7WRVsKhYwkaYmnmZFplNTRlE4Y0s2RXABshlfxnqCG86j9YseFetFcFzRtC3bFAYaMjjPuIkHZ8O2rHr5XxqF0hOa0CQnjfok654BccaNjKr49pRj5j9pCeGp9Ch8HjTVG1dyIhkIzmESVNaFTQCbuuiAI6uhwdib1wZdTS2KH8cD1bidVnW7QB5pqV8FZUfrxavbcL48lqnm/ukbIoWpfVHjMrUpUCmYhY3LwNKSaOU+a8oLgPIJvtxoAA9NAPVYekznhxx3Js/MiWlqSSvXS/BaEG1JbKlxPStyDXoCXOdR8JQew/S74hAmW66X8sq4jOLfuJKTxsq4kpMmjsGFJSdwHigdrH0xr5obk5JfEBq3BfVLpj9hBaEJvPhr9+RFG04Mb6wPRUhwAQhaemaigw760Z+0xDsRHXTIP5yyemxMpZta0qp4CPcrszZo9PZlnal9zd48MLe6aYv3aITpCJpUMfafsCSjhYbcgmUnedubRaFW3WaKlKOpJS15GZRJNmzLquIhnR7eiWuPU+vEL7aLdyU6oGVJ503V+kWPqt2T/6vnVP1OmFL9by47kqnL+Ix1u3Pqv/70dWwVZnXuh/bLeCxTiFDNDauq+JTjVavaj2KvptXBQxPb6roIkIBxLStFTHNjUohD9Ttw/TIwk7S052LzqmF7VvmTljzXYr2WyEMfP/ILeKLi21MiJYkM41nE4Uto3BYPQKwP90Ksz/nM0UFsDhkaqRTQzgUrkHDSPMstb3TQFm+aLwOPgjdvibyLm8SiKVvQpt4cnk/EVsf60Bx4TE2kmtNI63OmeAH+8Q9/p8qOWE7RnsA9UHICw5OGbVnxYPiy+Pnx49iilB2xnNDBBdyPsV6NTu/RmO1RfA+xPmfqzeuWW626XTl5H5EMRS+IUqAZ8vlYtwvSwoZtWTm/fCaUnLTEq/SjP7gEoELpZmQUSgBSzyi1Y5PLsMyGbdpofiMj4JHyw7iPSo85aHT3OVOGGpRV1nw8gcK/G02p+xzM3RzKMOQ3OoBnU7TflqFAYNHx1hARXPBWQvySDKj15rB5Gf2q9QkMb8MLyD5hIOejP/2NDMkCi07mUGQEwxbjdlr8Ie6zIEnWtOYFgUsKl4QvvoB8GNd53eTdBLbd/WoSgwXtzaMvxLiSEww+JdPG9SxyXq5npYEsOWGpP/3n18RYTjw1n4l8ZhlX4UtknIA3Z0kzxoDf0mN4z3GDW/ohCGmBkfUNyNM81huQZ+RgA1KzOSHknqIpPERD4w42lbphFsU0wdLEVnwKD3jqKTnBLjlpSbor16bRflvwjKEJWwKENjanMOXTKaiBBwlBjK7lwIv+/4jT9JCuwRdNeSdW/rE+TCIrD5hSODPkqKwLWQyu85je1OzNC13GfdaUaSaPgmV9XrSOmemwrguQonks84n0WE4TjduQLBAvTJ1x3a6cUERoBiatxnUH5tzG5zMy1a7oMCWrgGQiIoxpdmfmgS9jScJ0zV4ElhmXcyhCTqMx5ISaGEY2UdzSUJddsIwigtSU6AA8QmVdeEFS6qSUAiZTU5miA7aw/4ktZuGwYbPjMWh4Aab4oilsxfxJXDPMFPCvAs0cHXBkBKNftUrRTrOkZNhoyRApWkVTOvn3zWXgTTXV6rn4gmjfq/ajmWSxSfJXvAcFc3knriPf6yuC2Q2+vYQi6Iwp8j/3WaQ6c0JLTX+8x1J7ftirXK8giJDmZ+MapuAlJ7XJ9npWKHLRAVv9+j/+RuQWRA9LkXwhL40M5VXV+/LymVhkkKVfekynbPeiUG2pWxHELqVNDLjzvb6iXBfgl9mwJSNbNWqsjZsZwTn7Vx16mPscfn+PZT6BGPW/ufxEXkRwDt9T6VFLiDre+6sq/HD+CfQ1DxLSCmectGx/CvdXdNBBt7peQdaH741l9ZM/GKr50xFVsGKp/n9sVx4LWwrSpzjg8NjYmBDhWr8jJynVrkvONcDME98by2IaXpsI3dSSFs+QL437tLkxKXCC5k9HVPXHE8q4nFM/+oNLEM405ZacdOSoxuUcrnWtnV/rC4j14WdHBzFk+X/Ze8/nuM47y//f8NR67u2ETmg00MiZAAiKpBgsZoIBJEEQIAiABAEi59D53sucoxhEZYlUpC1r1vJaXo3DjO2xNeMZ2zOe9fLd/mpr320V6/m9OM/5Xkje96xioaumZkaiwEb3vc/9hnM+h+FxvOYKFm2RkzFroXKvJblElC/Vbs1LQCSN2uY5FIhlB225bgk1CE1pMuD1rGr9fEBM+gWLtgTsxXvd/CgOnTgE4ES+emde6G2BJTfxvf2rQ8q8mBdiYkm3zh+6nVGJTlsd/OqghCZW7MfvEp50BPJg3ElLBgjzSwqHMJwJTTtylhcs6HtTB1Cy+CUOmj4az2lcl8yWMq5nxePiOW3JZ5PotMVfxWRtynv8adzjsZPwggXn8PxiA0LUuz9rq5eKpyBh1dN243ZGlX08Lp8F/Xz83Gp2QK4bmsHmpfiYLWAP8TYOOyK9jfdpdPg8pI/hCWDUSz+aUMaVHHK++t3nHfODjBtZaQKKezRy/7K7UYwO414uOeqmrpNsSGmrcRPbZA45y9s15nYG5yAVDOFJPJcZIFzVZslmh88DvyZzEfhRvROfg9dxkbpEuXf+bL94X+jD4plVfsCWBoPDyNqteE8EG5DwV3oYzy3/64uqYWNWbf+sfaUBeY6vlQbkBXmxAQmMpKBbvZkR1jzNseUHYGjm1oC0nuj7M5Kea9zAw5ETRvN8XhLHSV4i6YrBeHwwB5ZcagklL8Z1GIfLD2iEpJ78eM7iwDfvpcRgSsKN//VFmQIy7dufRuPD6aI/6+pnuT1g6iwD+ii/4nSOLxYl1CEHUrYYQWOPpmG6TduCDY4N4HPi1HDbT7phaDxniZ6bnHKa/MKTjhSI0VF8XqvWZrAx+XACkyCdTM8kX/po2DwEljBFjYy7shXq1vlgpiyJycUV+y1B7Ta8nBVCWCCF98HPnVpi6v0plaC+uvAU3n9LU1IK0podaF44gS07hEI49U/r8bv3uInL4Um8X2Zf8HsjtSk64sh1YVxHYrrXtoR9TwoLMcjBeZBaQlOO6PFJx4kNOGLSbWpNC9UsccSWoiM0rfMq9ENv1dqMpKzv+vKIMq5l1d/9KSCEI8qd5n+zUWSHLU1Jybzw3IfGurkZyNXGz4awIdKY4rotORQYGu0bHUUBICbZoyjkKF3gxNX/+iJ+5nuzUoyXdNsCCqAPibkb9CgxX8S4lhUQQc32vCQKm+ch+zKuYKpMk60/a6vAmwsiMeM/91q2DB8YaBk7Cb/V6voloUo1bMhKSJ5xHZS1ui05gV58+0X8see0JUjbhpcRxhcdgeeo6Dj+t1cb06t2Y0rM7ULpRxNS/FTsR4FSdtCW65+yt+aWlBDIuIHwnLHEHM1wOQ4a6AmjF6xmO4AJvKbrtuRUyYcTGE6cwGdOGQ+nvgULGtaRxDUSfzyFTXPWvQ9KD6PAJdXNcxaDitqtuPeePQ1IZo2YcpO2oHsr9mOLWL0TwIaZX2/GxP8KgmHZxHofLkkIHH0ENOfST0M5H8lldVtyak3lPDxHB12JFKVMJBY1N6ck+ZuekYNfHURx98YCyH/trvfKuIxtb9FxR2ADiS695TgASZZxJy1FsHE1J9JXepkSXbZ405RS4m8x76XkbEh0AqFuXMmheXt7XsX7HMmEoOSNtLLoKIp+Sm8995OYoE+70lFmHfmztlpTMQfEtCYzRUccCTKl/Kn8AJ4J7V8dwmb64ZKc7QzsrN+UEzokg1uZqB6c1aS/ZVvz4Bw+w+j7M8q4nhUfReykoy5+vUpF3pvFxn3KffbxZVzOybOMXhMOIotOYLjE1PPSw3if1U9GsMHTyFyqJuirKXhrXtVtASmN5nHSCgNLaI4b12dlE8uhYvUuTfZbwr1Ysx0Bhmy2Q9NoNBnMSd9qcBayYt/DJckqMa7kRBpadtCFYFTuwTOO9QB9dcRaxwbxM2u35lVgdGUD8jxfKw3IC/JiA/L//d6nvA507sQSMkzQn0FBT0QhZQ9FJxzJB+j9RRv8BI+nVGQMDyfiSUk2alyXUaWHcYNz6hsbxI3PQphaWAaGtTQmsaXQRW/9Zqz1w+/OCsmKE9yCBUdWsNTklh9AwVbagWZhTeW88jxIivmMVKboMIoXYiiJRlxO5DGuwaCZ6MLUpOzjcTnESjtsWUczZIsGYM9ZC9rhG1m1pnRWtN+haRcLyoak9DAmTM+eBmRaX7lH+2amHTdTQ6+cjct4INXsgPGcU6iSoyDaRMYcNfPrzapyD7Ypm77olbA9zxlL0JecpEVHUFB4Lb2xejQtGvvqnXl54HH1zwdSZNxNYy5vx/bJPGcJNpGa4IYNWdWwMatKPpyATOoC3nd0GNcIqWWhaRRC3FQZd9Iy5fKcxYOFHqCP/lCIz+jlrDwkmHXgf31RhSfgHfKnUbgEkrYUSbFBdxrPwj84j4aEzVLDy1m1am0GWvRzlmCVPQ+SkilQclTr40864nFgyCVX/sE5XNdKQarmf2NBkLbmq2k0qrabbmxczsnmgo0WG/WSbjTMrZ8PCBAgpiU5lG8Rscope6IT32EgaUvQnXEjK4jeRJctacmJTmTFEGNLWV3lXjR3bDJKP5oQ/TTzARo2uveJeQmyEBKRyg6hgFhTDrMo9eXMlCjuQSP57Re9N/So0KfTsBESKfNVV4bGosVzGmdQ8TFbtoLRUVczzqyC4mO4Lppa08il0VskIqODs47o5avaLLnPOeHlgEQ8VzoIsHFdBpsfnWpf/MGkyGh4xvmyKN7po6AXizACkqvYkBcdR0MVnINsKDboIrApRU0cwTW7pnRWzsLQlCNEteC8I94U+jvoaeLnb17Mq6bWtGQmmRfxPXoeJMV0zCk0z/OaHZj+01vV1JrGtTWlm6cLeTFJV+6x1OraRZCwdBPN50l4AvdGxT5LlXw4oYw7aff71Kns5qW8yGv9GcgQ/RldqM+4z5Rf/PvfQgp8MS8YXm5xGRxKHx7fNyVwxtWc8jxIqtptedmylx3E58fMl9hJnfSuBzgkBvrytuSjlLdrH807c8q8hOa+6IQjCeolRyGBIkyFpEFm+JR26ITuM7g3C96aB25WN7IlH04Ao97vyIadEBmvjWdPxX5L4BXEdXvOWoKmpc9tuQTLuIVzgV6douOOnNVE81IeW/zBpGzhibE2biFUkz6zeC/O45JunBdVu3Ef+HLYQL1UMq2io/ju2aDFTroZJZExfIbG5ZxI4dgQes5Y4gmq2IfBWCBlC6p8eRBxeEKb+3V4cdEJPVTVwxNeGwQJ+PIaYnAxL1LcSO9KA/I8XysNyAvyYgNi3pgWIkv95pzQgJ49DeAg6XeEZBEZdxOBa7fmhSZEpjcfJqR3+PK2oPpKO2wJP+JBHn1/RlKxKZkxbmUg19Fa4thJd1rrz+KwrdwLSQUfPCxYwxOOYAHNeynV+bP9MGx22Cr49rwybiHcqmAR/82zpwFM/rREwbyXkmnu8olQeFIb12xLvAFEutIkGZyFl4GEFD6gSd2iTIcPFE5bAilbjf9qCyQ22kcSO4nCIDSFlTAD5sx7KSmA2HCY5/PKvJsS1KVxOYeclJuQxjT84JQYx2u3ougvb3enpL4silwiSj0PMNEr7XDN2wWLttrwRZ8w8qPD+HtIGlJKqeIeW60NjqjoqCOo2Ip9ljQPNU9GYIDca0m4nte2XCnBppwyL+al+SL7PzqqE8I7bEmJjw3qrJc+RyQ0xrWsMm5lhDhkvpoWhn7lHmz4qPuO9zky6fXalmCo+YCKndTbi9cXEQY2iWuOOvZA0latNQugK82D0R8dwXtmaBeJViwO2ahROkdyHCd+5gUUKJzQB+cd1Vo1r4yrOSHpUALSuD6rAm8uiNk+sORKYmh6Le3QFDoNWzAvodgIvwuksy+HQqpgwVHzv9moAkmYQLm9IwmPBkzP/aTciwQDUHpERDDD/EiCam5JSb6O+WpaiFAkwQWWbFdepXXc336d+7oZ1LycLbjsgrfmhcrF4r9qtyWeL5K4io7j84mMa3SvLg6N2xn1UtEUClSdIB5/PCWZM6TqtDQm1a4vj0jzwuFFvB/NUHTEEf8Vi0XSp3xZfA7PngbQqN1Lqeqd2AYa17PK8yCp6jflpGhl4GZoChQhnkWJI/h7uOWIP56S4UXBIorG8LuzKvj2vAyPgnMugc28iN+vaXXaLZr34b8993WzyGBo4A9POhIYl+iyRaZJ2VxoCme9cRuGfm7Marbn5VokJYneLKZfE2td9vE40Ll9+PcNL0OqxKGI18JWglvCiv2WQCqYk8IGijh4bkIKFrG157avZnteQvYi45BGVu61ZBpe9vG4IFn5DKl7BZLVin0YljFNu3AI75fENw4XqnZbkqN08KuDstWkTKmkG80mm+nYoKPWlM+q6l343UoP43vyZ9D8N67LSPNZsc8NbG1clxGsOze89O4wcI+UttigIwj9xvXYZMQGcA6VdGPQVLcFnhcOCvkyboAE1fAycrO4MQ3OuRJb81JeJKq8ZoybGclqKjwFuAGbD/r+4r2OSDKbfjiIjJN9GvigPXne15IikzPPw3QeezSNgZT2WdZvyqng2/Pqiz/5BBwSHXYJjeZFeMVCM7guen6+V4AUHFgQBEGAQ3AWjRSpefRA0eie6LJV2baVIMLn+VppQF6QFxuQ8MMRGMIdS7T1Ffugbec0iEg9Ij2JmY2MQyYUHcHhGJrGhI2yJmYuFB/TNKCTbtotUY71m2GqNu+mhL7DJic8iQK65CgahuonI5hS6smecQNmtuiwI5IwSo0q90I20dSaFuIND9HgnGbUZ108JScz9Hn4s+6BXHQcso/ImCOZEfWbcvJgKjsEbwNRu+UHbMGUVn46KtkZNGVShkG5Cv0IskbXtC7K1QpPYc1MM3NYB1+ZF/Ng83fp8LrzeZnOFZ1wxHRtXsgL2anikzHVuC4Dc/cPB2VKbV4Asrh2a141bETqdOlhG0Syw9i4kOYTemdOVX46qjxnLTF4ksgUnAdGmQWwP4tVvHE1hyLvdUw/ua2hF4BFBadSxrWsSzp6ax74Rt0I0EsT73VzCFhULw/NDE3hIUPKkfhTdNoxp7OVe1D00ytU2mGrn/zJK8FYgTcXlOcMjNe9v2iTrRfzR+L9jgTMMbU68t6sbC0oHVJKqdaaBWlQi04AxcsNWHBOZyp0oznY8WUXkrYzKBAJcCjtwNaFTQl9PObFvPpff/kvyqfJXtSKlxzVyeRzKKS9touEjQ06QrXjfZPoxHfi099daEbLEjtt8blw00H/jXEroxrXw5BaeApnSEtTUrwj/qwtCGbip0sP2+49cAsZJN9+GbcyQmSq2wL5DSlQ9E9QYlfxyRiayW40AfT1lB1EkcppcVWbJTJHwiwSnfjMCoccyWrwnMZWh4MZesS8jiXNceP6rCQrJ464HoLQjN4IaipVvE9nQqRt9af//A5kpNOOYHX5eVDj70+jefG/AQ+NL+t6LZpWp2XCq5QS2abv4ZKEsT17GhCJa3hCyzYXnG9Q9wofTYN0qM/QzG/XSvYEPRBihu/X3iVmI/Q7YnIv6bYFzkAwA3G7HMhwI1C/GY0RyXOe+0nxJzW3pFQgheu/eheQ2SXd+O5jJx05n7lNio46YpJnuGZJt0uF40aMclqS+biJ4fMtOoKfXb3LUq01C6CB3U/K5oEbuKLjjhDUinvwXTVsyIocjUMkhuH5Hi4JuYxZUbEBFLmEQRh30pAMZzA8aG5OSSBveFKDIsZw/9CbR6mV56ybw1P3Sk4ynop7MEjy2pY0jQxTNK6CPsehUslRV2bElz8LWRwBDSQZcpsRO+mIZI3Du6o2NGGlh21JdS86gfqg9DDOK1ItKcE2ruTks+V2lwM9Di/pATHvpSSgkBTFRJfeIn4wqSr3YvMY78M5UL85p9q/OqTKD+C8q9qNrT8ldl//+W+wfTwLnxql19xaRUd0DaElb6TJGemVBuR5vlYakBfkxQYkdjgpBSGLdCY/s/gNTenCRCNZK/ZDK2veSynjdkYOwvpNOTkMg/OOoAcpVWHYUHGPLmi1tIlhZYkuWwzWxuWcZDgYNzOCjGWDFHhzQbCqNBqGpvSD/ioKtch7s0JHIXoxPOmiNElbip10TXM0IC5vQIyrOZFv8AESSOlVsF59B99GMnjFfktyOFgcEj/b0pgE1vWUIwSt0LQmJw2jsfGcxkPv2dOA0KgovfDalmCIzYt5CRojmcSXw/sIpJZNHR9PqeaWlLJ/1wovyJuY3PMBFxl3p5SJLlskGiw8qJdn8CBNpkR/0jhMdnpwDg98TkTNC3lBwiY6bdmI8FojJYWTMNKSuMKPDmPaV/dKTky/vhwKKEnd1d8Z/57ImCNhY/E+FFyRMTSdlNsY16FF9txPwhy/FoUu8ck02DInhUUErxsmszNkrOSoLZQiz4OkaJLZ7FBeFDup/URpGPnrN4HodO7rZnyXWs/sOYMk7OIPJlVrzYKq2Z5X47/aIsMAz2lLmhMWdbXb8JBnZoxxO4PPK4/CkZ8B3294Er8rM15Wrc18I0WZxv66LSg6KRVhs+c5DQkhA0k5LTeuwjfCVObYo2lVvykn6drFPfhvEkdsoeFREvPtlz8DuU28f1negk5SphSMHiBCDYjw5hQ43odrjjK7ohOOFLj0O8T7cP3EBiD34ESeslJiS5cPDsoOIhCybktOZEiU9Uz9+nvKuJ0ReQ8zDOjz8txPomG7AoxzZEynxvdhsOJ9LQmT/G54pth0MZST6exKKbl/ucWmz6jkKAq08nZ9FvQ64uHwZV3vhdd2CVCe+0n5s/STEVdNolJkDGdE9U4AQvj7BVLYBl3+50bk3GiQBZs7GsnZTJkXgfwu7bCFSsQwPxbf5kWN1n1nThWectSOL7vE2O59uCSEs/ID+B1LjqIJLDuEM4iDEaWwpeUgbHlS9qq1GTH+x05qyeQu3D/FPTqMkYSk61kJwvRnbHl/4Uk0MfE+F2dt3k2pwlOOevyHmMr/9iVpxtZUzCHfY9YRkpbXskVixGaXeTWkB4pUbADnGymC5jnLzT5K47+nMb1gUfsN31iQ+yEyjs2f19byrE5btkRKKXiS3lwQ6VvonTnkcZzQ5xnx47cygmlOHMF2lWf76rpF+b7k7Nbb90BKb9KWZeNER/Fdf/3nvwEhznZlWsz3ENP5a0lVswPelLotOUGdE73tuZ+ULB9ekzz7va8lsVWewJ8NvwtYinkhD+TxGXz2xpWcAEEYmlh8zFaFXSsSrOf5WmlAXpAXGxDfq+OqpSkp+MzCU5jUMWgpOuyIxIp5FwyzYoFY3u6GBXkrh1jyAAAgAElEQVTOWIJMDevALRa7TasRXFW51xJzWWgaP/P//MWArGjOkWlb/eacpJKH351VNdvzkgIbnNdhSw+X3NA0TZUhDaPskC3BcLVb8y6ab2jZIXonLZsJSkPItOerfjOmnf4MDsNnTwNAQ+qpXuVeS7YB/ozORdjohmrF+9wsj/J2rOn/11/+C8KSjrlyLuM6wqY895My3SVyl0WBcTuDyfKbCzLR9NrWNwKdSrptIVtV7bbUmtJZTJ10UnTDRlfyEFiyxdTK7QH57KSohCewhfA6liSAE+dLwgzzA7yvJZUvr9PeX0sCBfvurOB+mTob73Vkml+125I8jso9mGyad5GdQjIOzdkMF6vY79KJvJbGvD4ZUeO/2gJZ1D5LMleoY2czTElO2SG32TEv5gXhmejEFJoNpS+rjfcX8+Ih8Zy2pMGu3IOAspJuXKfmBQRz1TwZkc0gNyDhCRdPal7KS+gfP3uGh9F8u2pNWnJkJEflPDwExR9Mwuuhs2LCEyiCGOZ19/dVEipZtwW+EvN8XihWxEnHBtGYeh1LPqfWGpDDOF2nJ4cNdeNnQxhIaCJe0XFXovFS8RQ+nztp8SlxMs6zgQ04p9ee09iwfPuV6LLFPE5JEElN9ZtzKvzurCpYtNUP/xgExOJyTjZx5r2UoDaZIk8TatFxV85Tsc8SWSNNtMwTKVi0v7FBq96J62JN5byq+GQM0sZt+D4oZTLvpVz5hz5P/BkUdY3rgL1dLnvkgIHSMfNeSkhcBABws/Zvf/6O6PkpE2XzH388pcyLebW6fknFex2RycYGcD9RisnClZh0DhP43ZMyxUZb/EW6cKRBvfCUI80OfQuVe10SE38uz0HPGTQtRI3z/iE4geGQ//Af31XhCUfO1ej7M7j3NGacsjvjdkY1rsvIBsOXt0XSG5px1Nr/ehz4Y/05hSdRSDIpvuiEI0Zj5n0wz6lqN6hu8V58v2WHbPGt+NMouJmFQVkic0EoSTLP58W7FJ7U4ImzluQCMSuLDXbdlpzAPuo35xCuO4tNgXElJ2niJd34/rjVK+2wBX9eOOR6KaLDaNKam1PAm+vvl3LYmu15VbMd/obl/ivie0PTaLQoIWtanUbjNK8DCafx/IuOag/dnCMZKJQOCr54AP/OcxbPEG5lq9pw9hM6wuwk4w62fAytjQ241yJDAyv2W+Id8pzRtMUPJ6SuIFK5+JgbssrfLTrsgg0YKWDczqgNX/TJtiQy7oJLuDUrOpRcaUCe42ulAXlBXmxAjOvTMi0376ZUSbeeFp+2VNnH4yJZIBnKa9my4WDSaHQUN2f9phxC7HTybdEJVyZVctRtaEjlYCZGYAmNhNfRa2mdkEvyT+VeS3wAXgdyHZpbI+/N4qGotwnUOsd7HfX7P38H2s1OPOwo8Sk8hQcRtewbvugTuUp0BBPs5paUfFalHa7ZMdGpcYz3sc2IDULfXvrRBIpJ/YBhMRPvdYRz/3//p08yHowr8FDwAURTdPhd0IzMc3igVj8ZQbiXlizwoK/Ybwmas2ABKEvPWUzqjetZCa0iArfo+LKDd9oN8jIu52Sq5rVR4MZOIngrOuq4E899liAOyw7he2/YCNSvUkpt+KJPAtzWVMy5mvIJTW7S2RXeh0tqTemsJNPGTro5LrXboPeN90MHX70TD/5Ep8YrX8Gk2Z+xRRIYGXPEWEwJEY2rLGxCU9o7orcb0REURd/7cQ/01HpK7s/qrJQ+R2Rh0WH4Qagx92V1zsMo/kziCAotGrxZ3BaeckSCFn88JSQeTtK5nSDiuGAR3yMxtwUL+I7MC3l3gv5wSTX9cBAyOy0d4r1i3Mrgs8m6hntijSv2oZCp2g2TZtnH45Lxw6KJngIS5LgRKFhwJGmd0kpuoeZ/s1HyUPxvLEDmNeua57llYaik13KNsmyAvQ4GFsH5/3cQIaVx9ZvhbSrtwO9V90pOzPjmvRQ+R03kqt6l78vzeTHHEyNOuRTpWSRWkcjGAij+eAqN5z63Uapqg5fIa6F4+smfvDLYCE/iLNrwRZ9sNAJJfK6Uy/nytsihKK0JT2jzcs6WbJLQtCPZQyVHbbnfEkds1fjZkEj6Mr9dq5RSSIOfdiTnqKrNErkPSUOU5XA7W7EfOGnjKqQ00gjN4/6m5Invl00yt1DBOZ0zobeG9BERJUuPBLfSngdJ3Gdamlu7DZ/b6nqQy6ixpzn42dOAqtgPvHlJt5sgz6KRG0kWqavWpFVk3FHv/FuJSOre/NdSMRIrpQQ1XbMdctNnTwPiP6Is0WvjOmV2TWvVvOSC8Lyp3ZYXszs3LIEl93MhBY9bf2Ltifc2rkIWy8+i8BSu24IF/LcFC46EAJcdxPXJwR4pfg0bspKhxewY78MlAXEwA6XouCMyLw5FKE1jbgubBL6YH2RezIuHKTriyBayYFH7D/WzxWu5yfTMiKERnRvX0LSjzn3drGZ+vRkNSheudfNCXhC8zDkqOuHIBjN2EsMvhorWb86J54dSbV9Oo3n15r7ikzE5pygVC00hGJHQAa9jifoiNuAi6c1X0xhY9aOW4JloXNZ+1AdjKw3Ic3ytNCAvyIsNSFGHDo57DVIs4yokASXdtuQsmBeRIUEGO0ko1CFzlU3NJ9GRVW2W0HMKFjExKhzCoUkzuD+LcCs2PsaNrNAzyj4eF62o56ylPA+SmJxp+RYP8OqdmnKhDzIWTaUdthjLeOgkjtii6TTPYYpSclS/B93wNH429A0qiBxu+udzPRwbdP0GsZMo6ELvzCFUbFAnsGriTnQYD6tVa9Jq73/vwKS9y5bAvZodMKca10Hf4GYk0WkLY7/kqGbIOy5y17iRlfU2EYzMLOF0ntIG40ZWJs1Maw5PuJudeB8ebIEk6ELPngbkQU9tNc2fgRTeF7MIaGaNDWjPxjCKqIIFPAB3fXkEU3BKB4ahny87qHNbPpwAHUr7XkIzkF3VbcnhM9XBimWH0JRxasmJeMMPTok3oWYHCoSCt+bxnk7iGvU9XFJlh2zZ+EWH3SkXc22MmxkpEPmgJ/qzvN2WjBvqzI0rOVWzPS+Y10AS12f43Vl4f25mviFxYECceTclD8zCIci5SJzx3E8q42ZGtN7Mp0gcwcOWk+3QNO5Dz4Okav/qkGpqTQt5TIrNDyck/yJxxFZrKudhlF/UXPzUstRyTYup2Y5sHk4xC4cc4eyXHXThAjQ8l3w4Ic12dAQFq3ENnimh2MygAPCn3XAynzalBpYwwS37ePyvzqmyg2iuqnfmpXCr36yvixm3wTcu52RSX3bQLVi5VYj3Io/j1D9uh8/gKLZdXgufA71txL/6coBkUKZZsABZCfM1jGtZCfALTTviSfJatmx6+Rmd+d1q5TlrCe7Yn8XfvaZ0VkJBK/Zhw3X7X6plM+K1bEnPDk/ge/G/sYBzRiejK6WEzlV03FGraxdFBspra+CXO7HFfgBpCoMR6WUqO2RLMxwd1RJb7R2p/HRUxXsxkAhNuXkUBW/NS7H87GkA5/KNrGCKRcqot7TbftKtVq1JAzG9bGtevcuScEKvZcuZ4Dmrg/CuIXU7NujKrIRudT+pRv9xq0gzGV4X79NF8B3cD9ysMbQ1OIvfo2IfzhnjZkayVthkU3a1PKyQxTFlPVQLFB13VHNLypUB97obyfpNOfHt1W/OyXdK/2FYI8ApISQcgljsgkXcL5SKBd+eV62fD8hgznw1jXt9RoexnnIEmlC7FeS7xvVZQWYHUgAi0ANDzxFJYUppDK/eLIQndTDkUVsytYiPLjuoNwuH3ZyP4Cz+/pYGoIT9aTSWPT/fK9Kxxs+GVLxXg0fOa8LY2/NyfnCAF+9HPVG/CYOn6l34TinHJqmtZjsGVear+L4p6Ux02QL7qNiHwSC3iTXb8yLFImTGuJUBzesS7jOvbUnALyVdf5td8YA8z9dKA/KCvCQHZDQlq2dOQyPjmHyT3c+MjtiAGz4UmtFkKMuWoD5SlRKdKHYoe2j8bEh5HUsd/Oqgqt2alxCo6p2YsMR7teb2Sk5V78wr+3etyriWVavrl0Ce2ZmXbQun/OZ5/LO2n3ai2NcTERZX9u9aJU2apkaa+CjJYbjdua+b1eg/bkUCtN4qLJeDMKna61iS+2Ces9R/aDOpcTOD3/uIqz/mVogPmPJ2jRQc1xkCukmLjkIqUr8pJxuKkm5sA4pO4DCmHybei4dMS1NSlR/AA8G8m5ICOjzhyAM/0WWLhyc84aif/rupjCs51fr5gIReFQ65mwFiOmOD2qQ7gkkfaVvEHq5ai2KQJs3oMIog814KZvy1IFEZV3PyOdRtgdTj2j/Xi0yv7aedYt70WpjuM1irtQpEn6o2Szj+hUMuLjbei/dT2mFLAFtJNx60sQFsEShv8qchH2BydWwA7yeQwrVSctQNEyM1aTnliL8jC6ToqCOhmOZ56IaNmxnleZAUsywnvf4MvoPSw65chsUXSVPFx3CP+bIwJ7NZD09iMuo5i2liZNyRaR8DumiUZgFm3M7IVLZmex5hZ7oAKDuIaW5sAAUazbWr65cERVx20JYCk+hRyo8KT+lr8TYKAhasBQuYYjNV3LiZkYd6vBcTdWI1SztcE23xMVumqV4H5LKi43+9AWlpSqqCt+ZFPtW4XmejvL6Iz+ZyTs3/ZqP63o97IIMZwsCBEhFf3s0i4D3H3B/SneL9OGNKut2mpHZrXrZU0WE07/6MLZtKNrtNq9PK93AJn7fthjOywDXvpiRNOTSFKXW815HAURq6I+OODC3ivWjaCb2o2ZEX+WnBW/OCgq34ZEwppWQQwul78TEMeyJj+G448ZYG+05aJbrgRShYQHNZ+tGEOvjVQZFq0Wy9PDPHuJlRZYcwWCrpRhHO6bl5KS+oYDZe8X73zPK/vihDl+Db8zK1Lnw0LZSv4h5bsnG4IYqOwOcTmnLUwa8OyjaIQxBmb8R7HYFJFB/TQadMIr8GXDFhJMU9rmejemderlGmkYcn8X3Xb84B453BNROawjVD4mDNDmwfqnfhnK3abUkeUrzXlTnWbM9LwB2HX0SME2Xd1JpWxnWQszxnLckRCc46glJmXkiiC//DwNHImBuAa1zJqc6f7VeeB0kZsFA25svh59VvzsmzhR41bmiVwsa/dmtewvmio46ktxcfw7lYchQNOqllVDKQ+hgZh+eRSHtudJkSH55wJd9sOgiTKVjAGVW9y5JhWsmHE9jkaulazZMR9Yt//9tveppeXxSvanjCBUQQF1+7DeTDQEp7qF5LKuM2Bk4M3azcg+0h0+l92mdYuUfnes2tSLCe52ulAXlBXmxA6ldB8kOkodeyJVzJvJuSUCHPWTyQSPuhfpymy+j7M2Du68TVQNKWgt08h2LLc1YjOHVwlHEjKxM34nWrd+JnmxfAp29pSqo1lfNCKylvx7TF//qiSA4YrsbpMx8SDLeiHpfTJzYN5e14mBJn6nUsCfyLDSw7kHWjEJpxHx5c3W/5b0dVwSLMiaR1MPDQl7VFtkBDa3DeEcO/mBpH3GmQcSUnmwROpzgBjT+Gtj7eh4KicV1GMJGclJV2YLth3MwIdtefRsFSuzWvWhqTyALRD6jqXfismQPCKXBwFkWFPw3NLX0s/jQKj8QR/DxOYf3aJ8HJLWVWfOj6s/jcvTqgzJezxQAdezQNo+UrOVXzZERVtWEaHO9z8xVIs6nfhOaBU1Dqtc1zllCGuAWq2I+HyXJkMzMQIu/NqvrN7nTSn3GlEv4sGsBEly0wBeMmEM6BlDZr64dq4ZAjqMzgHP7/2m0ozJtWpyXsLDiPz4lbi01f9EKaMIUHNuWIy7d6BCaUHXTfW8PGrIAgGtdjSkuv06o1kA8QHem18PO4LSHNqXonvDr01ZQfwGdTchRDgfJ2W/T/iSOQX5HYFO+DTLDulZxqaUzKmVF2CPdPcwuCQgMpPMwr94Lw43WwHQxN6Y3pjax4U8ITjiSGf/vly6GoYhFLmSC3pJRNxU6iUC07iPfCCWp01BEDc2zAkXA3Esj8Gd1w5nGu0A8SmnGpR/wz3Aow16SkGz8rOO+IMdq8CzlY5aej0oyz4C07pLd9epNZ1WaJ54nFXWAJG76q3TiXGtdlBNbAayk86YhkVCkl93Gi05YtIxthr4N7zDyHa6Jyj6VeKpqCNOdKTrYQ5r2UYGyX565wYMCJePUuvOfabThjPGchFWUaNZ8HJBHRpM7tUGQMsI2yQ7YYoJku3vmz/So2oJHDXW4CeGzQJYqVt9tSWFfusUSi5M/iniISnf+OcBOlFJKuTzky+facRdFZ1QbENrN/iOdmFka8D9dR+QEUx97XkmgU+1A80zMYGcf/3dKwJBvywiG9BdG5SmxeGzbAZ1l2yE3wDiRtOZ9lu/fxOEIJtQwqkLLV6rpFZVzOifyMeTpEJUfG4QNhM0pwy6o1aYENmOfdwNF4H7bNfHGD5bmfFAz66lr8nQJFmXdEcla9CwMrXx7fe3gC76N6Z142rNzIeW1g2CPjOE/oASzpRoPzv//yXfGoUWFBj0h4UkvKNOmucg/qA2nm3sTvzEajvB3PxkAK913pYTd3iNd2ZBzfBX09BCxwAEQ4BO+NmrXzKw3Ic3ytNCAvyIsNSEPDjBxknFpKavA+S9a4vjwmV5FxrIrL2/Gw9Fo4OIgOjPe7hsfYSZ1Sez2rarfm1aq1kDk1rsuIsTD49rwgK1mQ8WD26Qkuk3or98JXwJV/wSIeHnWvYNrH6WNkzBH0Hk3FoRlH2b9rFaSncSetmlrTctD7MyiKqnZDK9vSlJTPKjyhJ+O9bmNh3MrIQ8GXR9Hf8vlJFZrB+whNL9OiX8qr0DtzsvkoOu4I+cn7WlI8KpV7Nev+4ZIqWESBzwl82cfj4M8/mlbGrQzoZHrCG5zFtKf4g0kpIIwrOZGhRIdRfDGoqeHlrOr9RZtMTRlySD8FDdGBFL6TgkVklTR+NiSTM3/G/ayVUqrph4OS9t7x9wegE55zmyhmmpR8OKFqtmN7JQGHJx3xDcVO6gL+rflvGrIfIayq+Bh+X2r6S7pRwFQ/GcFDbtINbKP0ioV96WE0IOXtmH75sjCNF/dgA1P28biqakPDHR1209M3fdErTSqN9pQVGXfSQiHznLWkQTIv4XdeXbcInfUxFEGZ366VLBl/xhYddvkBW3JYjOsoUjl1ZxZIxX5LdPc1O/ICBfCcxqTOPIfrp2DBkQ1Vc3NKrVqbkZRoequMG1lBbxd/MCmEGurNjWuYTjJ3Jfr+jGwRifJlgUWDeOwkppxEjyaOuFuOgkXX58C8ChkeTKLhqtmR/6tzqnYbDP00DVe1Wcr7cEmaX2Zw0LPCrIHiHnxGsUfTKjrsqL/7U0ByVxrXZVyqWyeK5+IPJpU/q6lNOqsh9M4chg49bgp28TEUiSXd7la4cV1GJFjRYRfn/FJiRlXtttT4r7bI9U35D7cMgaQtYA1/Bmcj5ZUcYASWdAaFLr4JrajYB9kMsaoFC+72gRu/6DAKrMi4I7kUy9O9I2O4zltrsNUNpHBWkiC03H9BhGrBAp4BPHfKDmHDG5p2Mx6MG8jlKVgA+pSEw7KDtlCiGMBZ1WbJmUrqmXEzI+GwLNJXrUmr9T/qF4x19c68eLroMVn3tydUzY68XOMktSmFTVHNkxEE7x1w0cz1m3KyvSEUhfJEFtzMmjEv5QU1y+dl6UcTQkPkZpPY2cAS7ktu4Gq3YagTnsC56324hLyRHvioGtdlpDFj9hYBEMxk4v1PaRhR2PWb8XuQ5hXvx2dWctQWj0nZIWxc6eFreBlnTPzxlNxzgSQGMLxfmlrTyPjSOHqmnPvytmB+ifmOvDcrQx3Kp4KzjkgmC4fQQJS325Ll4c9gyGFeyKvWzwdwTzyegkzqGs4pYozDE/jdmptTAkLgBtNzFoPImV9vVp77SRkYBOdwj1LeFu9Fg0TACxUUxcd0nTPvbrFrnowAb63v25K9KxuQ5/laaUBekBcbkO+egXm0vN3Na/A9XJJJcGzAEXlNIIXDjxImIlcZ3vP9P4aUeT6vvvfjHjH5EQXI9NHv/bgHh6xucCgnKT8A1GLjZ0OSv8CU7PCko15KzAhrPdGp6RnajMuHKDcezS0poSxxerXjyy6RB/hytsiaIuN4+FLOEZzFv6/d5hZD0WHtadltCVqRwXVeB9P3wkfTkPFoGQ6RvhX7LAnrampNS/Af5W4MPSRBy3w1LabX2KNpbA0s/Nym1chYKD+gmeR30lIos4AxrsKot+bvTmATcjujKvdaIkdicfZ3fwqI/8K4DFOg5wGm4iSC1H1/WMg0LEIZxEfMKhs1pvhW7rEkyMmfwfXS1JoWuUSiC79vw8as8urE9sIh3ZAtugUdjak0HPrTtmTEcMMQ78O00Z/RaeR6ArhqbUbVb0YRQYpXbBA/l0ZWyp9YwDSuz4q8rHonNkKVeyzRYpccxXTPl3cLrOA83nfVbkumavFe/D70IpHWVLkHxWLgTU2Xemse0kQtU/RncG378rbcW5xuhicd2TIw4yU6jOvMa6MpCE1rfKmW25Ds4s+iKCpYRLNFw37lHg180DjiyBg2G6Ud7mAhdtL1MVXthhyCpJ6i444kyxtX4NNZfmYQ7UoPlHE9K8b14DyaFn8Gv6/ntCXT4W+/uB1t/GxI/Bz5376EXJbDuH4pc2ytmhd60XKJVe1WFzBBac34r7ZIUUk/AjOK/FkUR6vWQnJEzHflHusbQX6c+nvuJ1X1LqBSQ1OO4JeNa1n585H3ZmWzadzOSGgr6Xalh23XN6QnzZzSxgbdjUcghfM3OIeiWymlqnehKSscwr8vWHAbjJrt8EP5dHNF2SuN576si64tHNJoVD2Njg3i/PVqQEjRCdxfzEBabiqPDuN8KD2Mwn91rd5Qjzsi++NGzHPGkqaFfx9RqkT1sqA3LucEglF4Cg2o5wykTS8VTUnavHEtq8y7KWBw9UCIjUzlXtx7hadwnTS8nBUCF2Vexp20nNuhKUdw04VD+MxWrUVODfHHoSlHrY2Oq9KPJlT9JshN67bk5Dqr2IfBUd0rOdnyV+zH9VO5F2Qv+if9Wu4ZnsR9638DuRRFx3Hd1b2Sk00Cc574fmigrtxjqTO/Wy3+M88ZS237SbdSCiS5ho3wZAXeXBCpcWjGxSkbl90NSOEQpILciFPq27Axi4Gh3gzRDxKedGSLZVzOyffL84FhrolON+so3o8zght2CdK9Chl24RAau3i/IwGyBYtuA8LagX680g78bHoYQzOOIOD9adwzVW14NkXGXRx/dNSFQ4QndeO4z5KNJweU4XdnVeidOeVZXGlAnudrpQF5QV5sQApOpcTcGRtwRLpBXjpDAznRZbFSOISD9qWSaUxd3oPkpuiEDhgbcmSiVnQcD8ayQ7YEQRlXcoLEa2pNCwWp7vvDyryI6SaN2/WbcjLRrt5lqcXfbFDRYRzCLPJLD7s5FkS3MmzQcxbmtdA7c26K8FvIy4i8NyvNCAk5xI7yJUF3eRTde/97ByalupgzruYkpZ2seeqa6akIvTOnmlanYbCediQJmHSxgkUUA4ElyJfMV9OSpm5eyrvkJL1a9mXdYDWih0sP2+LPqNuCg7z9q0PKuJNW5QfQEAbfhkH82dOAir4/o6Lvz6jWqnkpQhKdkN4FUng4+zMo8qra4L/hP4/3obBueBn66kBKI5VvZMW07H0tKduLohP4fPnwr9mh1/PamEgNNydyiU79wM24JsPwhE6z3o0HSeEpl5ZS0m1LkBoNy9yamHdTgtilybTulZx8V8YVTfmZhqyLZub6zUhnDyRR0MQG8Pf48ri+WaATVc1ANV/OnfZTM22+ipC9yk9HRaLIRq/oOBqMlqakmKEr9iGrJDaAa6WlYQk/525KeW0UlIGkrbb9pFuMv02r8T2b51xTNf0cTPum5n/VmrTbZA1C31/aYauXSqZFU85GuLwdzTElJ1VtlhSfnCSHph2Z2jKAruXzk4J5JXY2sGRLbgODM4kGNs/9dRK6cSOrLv9zoyo8hd9vx5dd4nmhpCL87qwKzmrTrp7ykkJXtdtSg/+wA/6TY65MsOyQ+x1yk2PeSwHLraWfTEimxIQFUWTcvS/YeJYdslX7V4cESWxezAvNzHMWzRahEl5LS4/uA6rBZoESU+MGcLbGzYyEDxI20bAR98ev/+O/iGyGQ5OCRWzSKj4ZU/60LR604mP6bNWb4p6f70WYog77NG5go11+QPuc9FbXl7UltDX+eApUvXOWfMfGlZxIoChn8Zy2JJmbwXz+jE60XoswVPrh6C8sb3c3sYkjOO8o0/Sn3Yn0+K+2qIIFfN7M8ogNai/BkAtSYD6H18GGxbiDe49NqXk+LxJaYoX5d3CD/f0/hrBJGnabejZUDDw1z6F5pe+vvN2WYD5Ki4pO4M/5NYGL1DMZhmhvS2jakZwOAiJ4P3Gj+3//p0+FZrQn8pj2oWzPS/I6G+3whEtW/MmfvBJyywaHoape2xJUcOGQ+7xjLgmHH7Vb8yKDop+SsqSi4zhDWqvmxbvkW9a8UNpHqbNxNScbYc9pXFek0vHvpQeRpnffwyVIvZ6MqMb12PqsLZxQiSP4s/WbIdH0vpYUlDt9nJQYFixqj8osrm2CYyjzjffjTKrZjubHx8HNAv559U7knH338uxKA/IcXysNyAvyYgMSPwgpyo4vu6SIpumThjB/FshSIgBrt+aFOR6a0Wvl1xcRAKjTTv1aPlDe7tKHYgMoYBgs5LVsWZEyvbjuFeSMBJJYM9MzEpzFQWDczqjqJyOS9Ou1UbQy+0J0yntRwHFKEpzH38mJJolYwdllhnCdDRGcdQTdqJQSBCWbGhrV4r2aR38FNKbgPCaVmd+uVZ4Heir6/WFZEzeuywiRgwd02cfj6tnTgCTURofxEKf0IDzpblsSnbZ4KdZUzAm5KjjrpvPRM/kAACAASURBVIT78raEeRX32EIbKzrhCAnMl8dh7dWTYjYHTMYmSYg6evNiXtCOkXFH0IxrKuYEnVqopS5Fxx3ZCFA+xtyLxnXw1lTttqTZYcPHjYHnrOVmp+gHJzNJGJJXvxmm9oJFLRF7a16d+7pZcKphjeFlujuDNCs/HRUvCeUMNKlzusbCgFsHz/2kCk1pk7Ke0oYnHddUTE9CvyNNIJGenGJSHqOUEtkRG4TYAH5/yj+YI+PLo2DxPEgKxrilYUl8VTU73GwLfxp/F+lHnLqWH4CMj9cuJXrlB2zZOlICRmMmUdW+HDZJvodLMK0fgsmfAXfGFWjJiXTme4yOOLL94nUZHUUBzf+WYYLNzSnJK6DP6NsvBraR6Eb/FLMgaIam/j44h/ux/atDch/Q/0OzKWUw3CSSukTfBKVSVbvRdHOjRWJec0tKPAqyVc3qfKMnI2rxNxvEsBxI4tplrlLRCdyvq9akXYLeo2nkMaTcrTFDPtlosWkPTSGDhL4opZSY/Bk8SjADTd8lH05ATnc+r1qr5lX3z/fJWeZ1sDHiJoobl8h7s2i8RnH/Rkd1zpMOwKzflBNZGQlJPHMIIoiMoXis3YrG0PdwSfX/cjckp9fgtajbAj2/cS2r6rZgU9j42ZDcE4WncH8zA6P0MM63U/+4XeRG9KNwO8gNTsEizhxuH5klUrDgCBnO61gSwmpcA4Gr/AD+uXE5Jx68in06ef1BUrU0LIG893JWAilpPue1sGpNWjbw5gUQlgqHcN9yi8wBBL1xvpxLbeLnalxB1ghlTZQw+7K2EKR4dtXscGmVXhvPKGaSlHbgGk/903plXM2p2m15gXjE+/A589W0Oi2QAM+DpBs++Iob4Fex35KcF3oNPWcgOQtPaNhCn34G6aaCskaidP1pdwDIc9Wfdj1chaf0OfcQYZPc8PKMN25m1Pof9eNM6bEF616zIy/UTYapcojI99O4PiuZL76crdaUz0qosXEzIwGj5gU0aBxoFB5ZCSJ8nq+VBuQFeUkOSBrscDYHlXstMazJhFmnAzN8cE3FnBBbAilIBwJJWw4f5iNExlHMUqdfdsiWXIfYo2kh9BC5S/NYcB6FcmhGJ/FqWUP1LksY8IkuFF1Epla1ucGGXgcPSYa2medRxBQOYYqW6NSr/XEXGUsCSrwXE7VvrKQ1XjDw5gIKNp2bEBl3JKgtkMIDaW3hhOr9RZuEDPJhWNyDYpBIz9A0vDEVn4yJcZKa4/J2FH/PngZU1W5LCnUijENTLqnKcxryqpIPJ2SCx1DI6PszguONjuCzoB+GCdBFx4EJNW5Ay+05awnGMTKmHy59rpmfBWPBoi1ZB0opKVJ8mkVPGhp1z8E5Pd29llUNG7LKvIBNA1GUNEcvNz8bVxG+xevCa9miYzcuw29Svykn5lya42nqjJ3U8oHzKJDrN+UkJdyXw4O8uQXSgtIOW4z4QtXZi+lp4Sn8nOC8JvPoMEOmIBtXtWQmrzHE2u8QHcHnS820UkomqvHHUzJFJ8e/8tNRSev2PEDjY95LSfhWaBoTdZqQS47aEi5o3kupwBL+zrXBEUzCNTGME/uCRVz3sUEXr0kDfqJLf/eawhZ9f0aKc/N8XnDOpR24zvk50oxadALfW3AeG8vKPSjeyw+4Mhr6lmKD+Exqt2Iz439jQQqBb78oczJuZmR7Seyn+Wpamtx4Hz4TX94W07v34ZIy76ZQrF3KSyNP4o55Me/mEOVtKUiCsygi2ex7zuBsqN2aFz8AJ+gFC67kigVayVG8N+MG9PIlH06gKNNT5dIOWyR0kTEMeChFrdhviVTK6+AsDk05gvs1L+WFgkUCXbzPkYKbZxs3ng0v4yzz5VHsUUfPDCQmmPuzrqcuOItCkEMef9qGSfvjcZwpI47K//YlySCqeTKCQdRWNMWlHSjACx9NY4CgJTHGzQw2KmfdCTe3UNxc8TMp/mBSZLqU8nCQQIxyvE9vXDTSmcGYBIlw6ELC081/qYWMNKklhjocj0U4jdlNrWmhC/pywNYaNzOyIedWkFsr5rIw5Ts67EjALX0xvJZqtufFn8BNuHENMsien+8VSRvzTjynLRlKMcvDp+lYlAE2vJxFg3Y9K8NDTvmDc5AvMs08OowzJTKOjSK9mv6Me++ReJXo/OY2rPcXbdhsa+xzIOX6BJlCzwLfuIxmP/TOHGS8WlZXvcuSbYJx2c3mSnTa4umKncTzuLhH35d30tJUMdeLDWFoWoMFrqN5pFqC6exVbW5eS3BehxpPaMnzMuN52SFbvv+So64nL97vyOCparelvntuxYT+PF8rDcgL8mIDUrpzSUxv5GTz8GMwW+vnA5IgXr0z7yJN9bTB+xokP9H3Z7ABuZcSrWWiCwc4MZzETJLOUXzMxRHSTFbco7G5PbbgV4t73AKSnoawxs621ixI0B1N7A0/OAVpyJSrx2VYV3RUG4o1RjF2En9vVRumo8U9KEr44qSOZnih5WicqXEFvgtKc7jdKDnqelZij6bl4cJclfAE1srU/Sc68eDm9iE4i4c1pSrVu5CF0tSaFkNx1W7o843roAqtrl1EANi0m9YdnkQTQFkTjenUmBs3svI7cyVvXsoDV7vkmpb7f7lbtPwNG7JyHSillOcMPrvqnXmZ5tbs0J9l0paDveKTMUiQUnig8X3EBvBZmPdSCPA6iokbr8eCBUg2ODlkICSpU/LA6HNkouo5Y6nYo2lVtdvNnGnYmFWes5Y8ZNigEOMcGcN3lOiCNJCUJeNGVpCZgSS2E7wnKH9YXY/mq+6VnIAFwpNaZqdJPNzOcLLqtbTx/CrkXpExbAOqdmMCS1oaUcQslNjMU3pYv1ln4/Rrk/HjKeV1tE/iVka1NCwJNap2K2Qq/tcXxcBd2oE/x8wV+gaIAU0cwaaouEf/XVdzkgcQGQNMgRsZ41pWskVC78ypeL+jHv5rmVrzdyeQz3A5J1ki/HPFx2w18Mudf3VORUdgOGXzEO/FlqrkwwmhkrGBf/ivZap6J343fjeBJVs2iW0/7YSp+OQy3fcErvX6zTmZ6tLIbV7EdRycdQRewLyH2EnIX0iiK3w0rUq6tTzwmKvX/96Pe0DpuZ0RGQ43TWxiPKctNf+bjUI78qd1BlMHzrrYID5nQgM895NidFZKCXGIHgjPWUsgDb4cCsboCHJHzHNoGgX0oTOHWByTWNj42ZA0R4RD0HsUnHVEYmRezAvqNTLuSANASMGqtZjwR8bxviv3ovmv2Z5XB786qMZ/tUV5zqKwrNptfSO8dW3hhEhUa7ZDnitG5yGXSsgBAg3knjM498xX05KxoxRohnVbcG9Ghx2RknHb4nUswUoTSFK5B2btui0516+mTdrcyPEe9L++qDxnMLwrWHCERsUwUBbngs99D54r405a0rob16PBYPPe3JJSZR+PK+NaFlCEabxX4mGfPQ2I5JX3vQyK9Naq9fMB5FxczqnGdRnxb71UPOUODLvc512iS6fct6SUcTujarflBVgSG3Sl1cRL+9M4k1s/H5CzzKfVFOZ5bHw41OKGrOTDCXn2eG1ck5SWsWmIPZrGAEPn8oRmXMkkTfy120Dt4z8j4IH+moIFR3X8/QFs0O+mVP8vd6v44yllnrPU6volGfCVt0O2V7HfEglX6WHcIyQSrq5dVCV7Vjwgz/O10oC8IC82IP6xlOr9RZs8JOJ97sHoOY2pQ0m3LYml8cdToNBsy0siOfne5oW8SCRYuNHMtu0n3Sh6sraEAPKh1vAypu/dP9+nRv9xKyYay8KQEl22mC85rSOir6Rb05h0dknsJA69wkfTriH3KB48xhVMy0sPa23zfWhGqWemrCN2EocyX8E5THWNKygSPWctkIXS2oR7OyO0rvID7mF4819qsbLenhcfBzG+zCOg/4GTKONmRrTYvodLqviDSeXL4/0zcI0HrXnOklRqNm/VOzGlrdiPQpjEnNggvjv6RpabmGmgZ2NmXMuq7/8xpNp+2qkSR7CNqdxjSYo7G5nyA7YYHSPvzQr5KDLuSMPBgiTerzns/fhufTk8cKlL92vqTuVeS/JJosNaGz/sylmCs456/IeYam5OCRCB2MjqXRameuP4vijraVyflaJQJtw66bjoODZFkTFHzNyeM5b4PviZV+9EkxMZc/0MxlXQXBrXYTrPIMvardi6lR+wJeyx7BAe8CSwFCyA1lKxH5SeVWs1mGG/JZQfJpJzu1Z6GNPz0sO2oJW9lq2am+Fxqdxjyc8o7kHRWLEfTas/bQveWBLK+3EP1G51kZyU2RA1S8jB8gyE8nZc8yw0SeYhrSeQxD3FxiA4i0KMzQoZ/w0bQFJi6GnJ0b/egPizmL4y2C026AgIgLCDwJKe/N/KyP3ARPuqNkjkjBtZkU3xPIiMQQrVtDotCdX1m/BdH/zqoEhKyw7Z6tzXzbJdY4PS3JKSDd73/xhSlXssocOZF0H1OvjVQZHA8Boz7qRVc3NKdf5sv3y+lCQVH7MlSd5rWzDw6u1LaMbNFmLzp5QSyVPNdmxHjdsZXLNPRuS6aGpNy4aa5/yaynnZwHnOuCF78T4Uf0ywjg06Is+q3ZYXeSLDaL22JZtdytpo8C54ax7fk35WlHTrHAuNpg6+Pa/W/6jfPV8v5VXPz/fiTH9vVgZT9ZtysnVgMc5nSXDOkVR7Zr4wpLRmO/JplFLAaV/OSYihXLfHHdmYVey3JMC2bktOCuPoiJYqPZr+hh8scQT3GzOFqnfqEFQN1GA+RVWbJaZ2SjwLFtCYUAbL5Pii446EXDIxnEMA3gtMYjeuwS9EspbXsZT/9UXZChUsQK5GZYAQJfdgcMXNxHIML713haccaVj5fGIeVMV+11/J77j0sDb/6/ym6Cj+fOO6jGpcj+ubg5qCBZwnpYfRvNdsx9nD4Ft6erwPl0TS5n0tCd/d+zMYhhzDZ161Gz4tSpspl40OOwIwKO7Bn3spMaMaNsIzFJzF1pLNoOdBEmj3KTdUlfK2hg1Z1dKYVLHOlQbkeb5WGpAX5MUGZHXklPrff/muCs1o0o7Ws5qX8mKkZiIzcXs0jxNjWt6Owqik25bJqHE7o7yvwWRpvpoW2kTjOhgRmYdABC7NdqvWpFXdlpyECLEJWbUmLYeacSMrmueiEwg8Iis/0QW5BR9WvjwOsebmlDxkYgM4eDp/th/hRZrOUtrhTpo52VdKIcDwmC0FDUMCmY9y8etVMhXlw5xTYuaoFLw1L1IkmncTnfY39NoM1PPcx0FYuQfFqdeyRU7FDIiq3XjPda/khFizPAyy6Lg24WszeOfP9qvYSde/QeIM5UgV+/EgYVoypSrM1QgsgWby7GlADnvSh5RS0mhQTlWxXzcsuunjw7RhA3IsSo7iu2luSanqnZiixh5NS3ZG2UFMyopOoJgoPobfg/QrBgkylMtzVufVnHHT6PlwL+1wcb6U1lD2Q2JW6+cDIsHyZd0GizK6ohOOfKY0eTIozLiVUS1NSWyK7qTRkM9oiYRli0RCKZj1GfxoXMvKRi086UjRTnldebs24b49r4wrOSneGegX79XhY5c1lWgWTUTJhxMghS3izw3+ww7VsAENDCUrwTm3ESJxjkSoi1+vguRHS15orPbl8HnUbgVhaHkWUMPGrBDGGGrKvJrg24AcNK1OS9gkG31u3oqOo/n+9os5NZTvyLX9IKm8lg0ghPY4UfMdGcOWhNPz4Dz+f5q++c88Z/QE+6MJSMoeJFXj+qxIumiw3fXlESl8uS2lLCbR6SZAm+cskQoZtzPfyP8hzrylKSnmXuMK6EmxQUd1/3yfCry5IIS3xvX4uyo/HcUZeh7bluC8I0hlYouN6yBAhaZd+UhwDp9z2cfj8IdpuROnudwe1m/Clq76yYjo6IuO6+yKITcDpOgE7vXxX22B7n9bXkhz5qtpSPF63OyZjr8/AN+V3qTVPBkRnw2HSpIBpYdJLMjbftop11Jk3FH9v9ytKj8dlcaam11m+rR+PiANZN2WnGrYmJVtX3gCzwellJtHM437pGI/5E+eB0m1NjiijCs51bAB8sLIuOvBK+2wRYps3M6IjIdKgcQRXJO1W/MwSWsCHYP0GLzne7gkvkfjMpohhuSVH7DVS0VT0qCwMTTPYyvq1dJWbnnYgHtOW5Jbk+iyhSpl3Mqo8LuzIh81L2ETQZBC+QG8xx/+MSjocb5qduTl2VS1G38nn/HcFhlXc4Icpv/SuIrP3ryXUjXb8TvHHk2jqe5waXykExJjT7Q/hzX8PHneramcV14HHj76YSJjugZ5uCTnJ89Q0hb5nCg8hfPJuIUsp6rdlvwcfo6lHbhGKZ1kZk5o2s3talyXUeH+FQ/I83ytNCAvyIsNSMnepKrYZ0khGhtw8yuIKmTAWyBpS5gWfRCUJ5h3UyLXKBxyhO3PwoZreuNGFtr2S5jWr/9Rv4ToGVdhSGQaM6lSZHZzwhMdwd9BwyhNwdzGECO43Bxe8uGEbAnivY7kZBBJGJ5AIUgtqHnBxfDy4KUBjvQVFhKe+0lJk6V0ZjlVi1Sg8nb8brVb86Ij5oM7OKeTbrXXorRDU572WTJ5alyXUYE3F5CsfsD12ETGXI14/eachCbSB2PcwgSKqbUV+1A8xgYd8X14Hy5Jwnv9Jkz+KBNhbkft1rw8kNf/qF+ZF/DPlcLantSSmu2AB3hOW2I6Zr6AcTmnmn44qMrbdQ7IzYwUhyzGqfMmdav4GIpDmWyN6I3Jmwtogifchz0f0BX7UKQUncDvXNrh4kYZ6OVPo4mhdC467BosE0fQTIQntcRKy7wSnfhZxvWs0KEoUTRuad9Om6X8b0AWaFzNyeRVKQXpwazOPcmiICo/YIt3x7yIArRqNyaPLL7ZwIYnoXeOncR3XP1kRPnTaOSMa5DSma+mxbApyc/63iHJqnBIb8763BT0hpezws5/9jQAv9YRNJHFPbgvKI8JTTlqbXhMJJLGzYz8XYlODBi4FaNvKPDmgqr8dFSAAmUH8RkH5x3xa337FRl35Ds2Luui+DTQ10XH0SB7HiRxLgy7YZ/hCTRPtVvzyrgOZHJLgy7i9DYnNoBC33w1DQiG/pyo5fc8SALves69P5i0He931IYv+pRxOyNp9NzMVuyz1Pd+3AOylL7OGzZmpYihbInJ9gULeiurpVEc9DClmyjq8LuzyFDS1y9R4S2NSXXu62ZkfZxyZDtVtduShjlxBA0gqVZskANLeI/LUdmN61EMEjtbfsBFtNe9gmuZAZ30lHgdS/7ewlOgvjGbgbJXes+Cszh/i4/hTCOVjEbkkqOu3LRmOzZJpGHVbkWD5LUxzWc+RdEJNKV3f1+ljGtZ2bis/a/HhYLF7QGN/olOd1vCgUpw1pUveU4DpsHm2ryHfKt4ryO0q8o9lgRBVu/C2VmwiM2seTEvW1fjRlaGChy8NX42JBlcsQEdrKp9Xhx8hKbhhwlNu4hYkVv1O+KDKTzlbqeIpy8/oAdqj6YlJNC4lpUtRUm3zsI4CnkSX/6MLdLD2MA3k87D786Kd5CfO8NP/RmcY4GUa1gnATA6guuuYUNWgCpspOg/5bOj5CiehxyuxPtwtlZ+Oio/N9FlS00RHdZSRn1d127Lq7XRceU5iwYi/O4sJHxaQmpeyIt803Pa9TyWHkbjQ7hG1W7tYbuCaALzbkrFDq9sQJ7na6UBeUFebECCg0jurtmRV/HHUyry3ixISHoaV3bQFvRqaBoPDsqginvciWiiy3YnQ1PfDA5MHHETyGUCdsQ9YIPzeKCUHbQl+Mx8NS00JIancZpFZB+3HM+eBlR5uzbHZvEz/VlbPAyr67H1oKzh2dOAKvt4XHnOYHrntXS2CScmQy5hRimloqP4e6mZT3Thz1PPT9+LP2tLMF3RcUcMmPF+R/lfX5QHOycr9EZE3psVqk1wzmXmF53AIVy7zdXRNvzglDDcmbmQ6MLUPjqCh/+qtRk8QOZRRHjOWII+Ni9isxVYssVozYcyf6eSo64mvPwA/A8MqgzOwnQaWLKFJqWUUr6HS6p+EzTG3BRV7MPU0JfHzyeuMzTtCBUoOOeinYNz2jfTpafW65EnUN6uvUO6gSTGMTaAYpwGVOI3g/OOaLIpY6KBkZptZgLEH0+pqjZLff+PIdly+DN6Qn0T1K6aHZj2Fp1w03/LDrpM+8g4rtf6zbg3oiP4rJf7pcrbtVfmLJp2Gm75MOUUs/yALbrkouOO5K2wuaS0IN4HWQCJTjXbUfCQuEY5Q+Epx4VEJG31p//8DgITNwOH6cvh/q77/jAKK63dp68rNI17gmx+8voL3ppXRSccwUqzeK3ZkRdDf2jaEZSrV6M0K/egKPZlbcndMa7mJB/l26/iHvsbqN+KT8awWXq4hCb6pM7cuJF10+P19La0w80IqHkyooqOa2/DOIp0SuY8Zyz13r/FscW4BA8JJ9VP/8ffSNJ2w4asmPDrN+eUeTcFk/QS/Gk0BBvXIfeiTyf49rw7ODmFQpYNEotgYpy5dYoNaimrhm6QVMTcIPNSXv2fvxhKKSR8l3S7v4svZ8vkPZB0/SjmRe1TejKCgvc8Pi/zUl7MwJTuhSewoQpNO5J9xEFVZAwNarUO9SMMw7gF+WhgSdO9BnVO0gU0Dca1rIQslh1yfRPREVe+yxBASu+Kj6FxYgPiy8MnwWFTbMDNszDPg4Jk3Elj223hdycFy/twSbajwbfnlS+PbUHgzQU848Yd2ar6M7Y0461V87gv2yzJuPHlbZEY8bzhNiLe627DSw/jemEitz+Ns9W4lRECIzetvEZI5aJcrvgYtuKBNxeUeQmghcQRbHH5Xvh+hSx1HZuY4Dy8P1Q2GHfSKv54SkzV9LUtf95V7MOWv6TbFmwxU+zpkeN9X7clBxnWApowoo0r92L4Epp21LafdINUpr1y/jcWQHjTCHl59mk6XLzPkSBEbj2bfjjoDjs0dj42qM3vekOdOILvIDLuiBGeoaJVu1GH0DsZnMX3yE2vcTknNQp9duEJXP/Mmqndlld/m19caUCe42ulAXlBXmxAfDNJBAfqYpkPh9IO7R14NC0Jq0xB5oM0Oooip/yAnqJcdGlFJd34c6SzGNcxeWFYli+HA42FKIuY6CgOUf/riyD+6K0DiT2BJP4dD27PWUuMbaEpHNjBeZ36/WpaEpQ9py2Zfmz7SbcyL2G13fjZkOiZg7OQHpCKxZdQOgZcMzoZ+NRdN2zMSgHPSWGi0xbvAXNEGHBF4xwnaoE3F2Ba1FNxFg3GFaAgI+OOrKjjfY7QmThNpja9fjMkWWwEq3e5m62i424wXnTEEQkP/1x5uy1raT74QtP4u8i6D87h/Teuywg9RiklXgN6XMoP4KHY8INTQC7blhCggrNopPxvLKCh0wWj/w08YD1nsKr3nIFZO9GFgpCkNe9rSaHLMECOsjaSkir2WapxPYhbxIxW7rUk26FmO7JCqtqAIl21Fs2GeUFPp5O2+DMYCLg2NCoGRSZFM/WbdDfiHhk+yGvW6+B6Ck9qU+ilvGppTIqpmcVScP6byfTmOY2UZuOfdjXg1bvwe5S3475kMnf1LmxPKGVganNw3hHZR9EJNFgV+7G1KnhrHp+dLooZ0NbUCoNs5V5cH8XH4LWo2OcawLl1Kz6ms4N0U5Y4osMQ31jAJlBf2+FJXF+R92ZVcA5yyIYN2W8YYfkyL+RV7VadzZK0JT27ZgfuNdLJ4r2a/MYi/zymnM+eBlS811Gpf1qvvvfjHmm8PafRCAbn3W2qcQXXgz+js090k1S/KSdbo7KD2CAG5zD5Jdmn8NG05JxQbsoCumZHXn73xs+G0LzOaj+IPkeiI66RmyZpbh+Na/hsiEVl5ka8Vzf/WVvd/JdaXC/cRE+7yd3FPdDQmxfzIBm9sQCN+6i7zWGTSxx3dNg1/5v3UspzPymo9Oj7M9gkjoKOaFzV16Ye0MQGcM3XPBlRzc0pFZ50hFzlf31RNhykoAXnMLCoewWhqzzTImP4TFL/tB4bT01x8pzGtpPNNRs2/xsLyBfZgO0kvQYl3biueF8WnYAELTjnCHAh3ofmjdN8z4MkvHev5ESC6DljyXOQiOdAyvUmBZZ0Y3zGkm3UNxDpegNjXMsCgDKqP6ftoELxs6/8dBQ5OfcQqBsbwLlt3k0J/p33MQP6jCs6rG8BZ1W8Tz9b+91hE78D4yYS6pkvQtkcX2UHbSniSSmr3ZpX1U9GlNeCH6rj7w8gJTxri7wvPOHI2WLeBb0v9M6cKjqO5yabUsoO6aWzf9eqwhNukju3ssFZR+hhwVlHMNmBJfxehafwcyPvzYpcjc8yKg8KTzmC0Y8O4xohkMW8iMFewVvzKjjnAhb4rCLsI3EEdUO811HfPb9CwXqer5UG5AV5SRL6xTkcopMo2rlN4Mo1kMKD37idkSAqyjfI1E90QUbAf1/3/WEVnHXUwC93KvMS/n3onTkxv5nnMWVkocykb/EdZL8pRTIvwcRd+tGEHLL0KZCawbUqE1n5Z/xpW/jkpCmRdMX307ARU0vmE0TG8PfyxSkkiSM0ksYfT6n6TWg0Ekcg2WCaKzNV/Flb/dufv6Oio6B1GdcR6hecR8FDras/7SYuU0JiXMkJwcm4lVFlH4+LeZ6Gxk/+EAH95vEUpsQzSJtnAnJ0xBGO+nINdcmHE5JvEDupE73bsLEKzTiiCzeugm7my9mCTq38dFTkXQxspNfCc9aSlGTzEiaS5gUc9KEpbfBedr0xwZZSCq9tSeCleS+lVq1JA/962FbFH0xKsFTj+qzQyMITmPbWbcmp4NvzgvKMjuCz4paNDVi8z5FUbfqZGjZAtlH28biq3GuJbIxNGa/P6Aj+DE2pxT22pBPTwB/v1wbuUTcIsOmHg0opFEGhGWxuChZtaZafPQ3gurqcE4lVeEJnx0y5zQQlYiT8VO/MGQue4gAAIABJREFUC6qTm5nSDoQAmvfgC2jYkAW1TYc91r0CqSMN18sL3eA83vv6H/ULUSqQQpG0vKgKJN1gyJKjeEAbV5Av0NKwJBkQgSV3oxhYQmHU+4s25X0tKUbaeJ8buPntV9VunYlyKa8aNkAKyuRq/xto2onB9me0tOsQ/u+qNui9KRss6XZxxsE5bbjud6Uq5gUQ3Ig4JXmH0srYST080DIpkrboZQhNa6mIblJLjuLc5DbDvJQXrTplJ8G355VxI6uaWtMq3q8zP27DTB+ecDNAjMvwPETGUHTV7MgLBat+U05IUpTMFZ7CdxrvdbcK3G48exrAWX0vJRN/mnJ5/5vnsU3zOpiSE/3LrVogaUu4XOVeNMlFx93NHzfFkfdmIaF6fVHVbXFzojhICby5gIR4TUkU6MDriyI9rdhnyfOG+T3cIHPSz6KzpRHXlddGE1DV5k736RvzZ1F8es5YAjyp35wT2XH43VkpTguH8PuxsQ2kMKzicCHe74ipeceXXaAd9ukco6zeOuj8Gcp8iComLMO4CRx4ohO/u3E1J/cHz8XYSd3waukR5ZTG5Zx4zW7+Sy3oaE9GAAqwLQkVNi/mRfJUsQ/3iOd+Etu6TneTrZQC1n63lmhlILsiUn055Y0SY+KwE134fLnt4kaSVK9AylYbvugTCEx5uyvrJtqa5yFzwphl1Fo1L9t+DlkSXfjeqaSo3Qb4R3NzSq2uW0SjOOxINtFLRVNoYt+fgXT6DOTSrBViA47IdBd/swEo832WbGgKFm1V89JKA/I8XysNyAvyYgMS7kvJZqPkKIpT6j5JXApP4CA3zwOTZ95LIeH6lCufYq5BIIn/jgjPxnUZ9dEfCkV7Hp6EjKK0AwW7EC+0yUwQexnoUiNjKLIYRtb+1SGZiPDfkVjkeZBE+vQHk7Kyb25JSTNAUk5JN6aRiS7daKVcqVR0BEVc9U63GKJWmpSbqjaYF2mgrNuSE0KR18bPrd0K2U5JN34P4lE5ASo64coxWKDE+x0x7JUetsUg+r0f90BPPOBmFNRvRtFRuRffV/fP9ynPWUuITxX7LTXwy51q1RpsgbidKT6GByiLgeAcCkIa+IuOo6DiNqt6Z14VvDUv6es1T0aQUqwfrl7LzbcgeYuklZKjKAiJ64wNOmLmN25nlP/1RSkYiU8mdYQFvnEVenNfVk/4B91NTHEPinyu2onPZePMBwclRNFRR/T+DB4r/mBSrVqbUavWYqND0yElRwWLtsgFWxqWVOEQrjvjFhqDtdFx0OIs9x5iMVW5Rxd9g/h9lFIwf+pCxrgGP5TnrCXkG/8bCwJfMC9CAmdehCeJyeuhKUeutdhJFLFFJ3AfMnNhebAmk4LLD6AZp/m4cEgbSm9mBJvcWrMg1BrCESo+GVOhGUeCQQuH8F0xzTqQxPandiu05UxaNq5l1Ud/KESmhW2J58a4nlXGtawURMT3+vL/bwmWbGNWp8VEHp5w1IPfV8jWxzyfFy9X2UHXF2Reyivz1bRslbiho1ypuMcWSlNJN64TGumpz4/36wZkAE0E9fZ3f18FWadly5ScQZMkWSWO2KpaF4TRUQwDanbAE8IQPPpMIuOu/Cry3qwq/WhCwvIafnBKlR0CLc24kVXNzSmhYFXusSQnpfwA7tPm5pSgZglWoGzGuA0QiHEzo4wrOSnEAin897GTjgwu2DhKiGgbisOGjVkXeXsHzROTxwMpDdM46waues6geTCuZaWh97+xIJ6L0BSud6JeSViKDWILz7OLmVLdP98nU/HYo2nJ5KjabQkGNnFE42y1/LFiP679DV/0QWL4Sk4aScI/AimczSQRVu61xLPAbVHxB5Pij2lqhYep9LCtOn+2H81vFj+DWzPmN/m0L7GlKal+/+fviI8lNOV6GhKdkEPSoO19LSkY9eioizkuWHD9lJT7Uibnz+L5wayp9T/qV8YNHZp4yMXnkq6W+qf1KpBy773whCbTLeK5SomTeR7DBXqYCBIx76ZU1W4L/qZzkGMRVmNczUnuiy+nwSEauUxPWXk7aorCR9MYYOmBVWkHGqDo+zPSgBk3cP3EBlypMq+J1fVLqml1Woz9BNr4M/hZDRsw2KnflBOZb+UenEukFpa32yKhLD2MBprevOCco757cW6lAXmOr5UG5AV5sQGJdqfUs6cBNAT3gbnjNMJz1pIkZU7BiO6LjmJlWd6OgpJkKzYQntOQtlAz3dKwJNjQxs+GxHwWnHOD0tgI+bIoXKt3YXNR9vG4Mm6AYsFJYN0rOXkvlBvF+xwxnVNaEpxFaFbDxqxwvallNS/l1ZqKOXXx61Vi9CR6MDLuToSIKC4cwgO4cAgHu3kRkz7PGUsSdgtPudSlmh159VLxlJhtfXlbJvDl7dgKrVrrbhJ8WZcYVrMdE06moxvX8ftX78Ik2/sati3m3RSQj8saN5rAOe3khL5mO/wfNGzHTuI7YPATcbmUmxnXXfgAySr+NB50rTULKt6Pn6+UQpZJvytJCE9iAs7PyKc9APF+fDecqjeu1/kar6ZF7mPcysj0l4bNmh34fRiaRY+D5zQ2WEQ6Bmd19oFlyzXJRoYTTU6ayw7ZQhViM83rv+6VnMhU1lTOYyqnteHG7YwyL+VV5V69PbuTlk1LotOWApzyHhZcSikJvwokUdQVLOjk7Tm3KaB0KTKO5sJr2d/AINOsymK7+Jgt6czFx3TjrmVk3OiZF1A4hyfdySPTlhlKR2obk5lrtueFVlR8DDIeph7Tm9XcnEJiuy7mWYgS7sAGruyQLZuqwkfTgmqm/4HEtm+/fFlbra5dVFW7LZGbmPdSKvLerGpcj3C8wlOOZAcUnnLPouqd8LDFe3WQ6c68yNl43VPGQnM9/R7mPQwNdn15BEbuSUdC3Ei4Ym4HtzjGTZeQxEENhxC+HAovfxYkosi4I1PkRBd+hnEF1ygDOXkPVu61RIbIBr2lKalCMxrDq4vLqjYU/JV7sCGL9zqS1s4MC/Mcmr3Yo2mh6f2P//yOig06Ii8qO2SLP4GfDYNJV61Jy+CGPhlCE2p26I2Z9oCwWWaiOeVTzGBKHLHle+H9TrldbMAR03lsAFIrbnejI2gQjOtZ5c9gUBMZc4SEV7s1L5uDteExtevLI0opJU0zIR5lH49LoGbH3x9QxtUcmtbzOCdphmaxzbOEGTFEx1a1AVJAylvBAt47SYX+jC1KgdIOnB/FPbZsNullKm+3Vf63L4FeNeR6vpbLS5nIzff3/7P3nsF1XefZNjOTZCaZsT0pP+x8zj4V5wAHBwfnoHeAICGSYjF7A0iwgCgECYAAiN6B0/fe7L2KEkVVq1jVji1LsVVsOXKs2NbrErckzI/PSZzMvMl8E2V9P+51Pxu0/b6O84czGuwZTWIKAk/Ze631PM99XzczQPwLQKKH+7AGuc5nVe2DaJJFO53mjDfjhN0GpvHcle4x78m9ir4whuLHMoXK5ktb4mshIcqXckhZ9MfljdiSYcO8q4lvfUaez1ibJUV/5dasqCvoryI0geGF4X4HulHWjMIpOIHParF3hEoE1/msxATE2rDGkrBF4z2f14IejbLXRSADe31pnAXq1qRlkk0i2lIQ4f29lgqQj8jFAqR4+4J05xjU5D7lmOkY1uR/Yk5kVEw3Ji+dPg6mowYn9ERjN4xfNeszYs4m/jI4icNQ3eqUHB7rm5Lq1vfK0Q07m5UEZX9co2CfmJMDrPuEKXkflL+4HkoK8YMG2IlvfUYWbF9SHzC0abd0D3Tgxo0UPA77IDOIdGPR4+VLaXKURtRSF0oSiXERXX+aWLlxhft0+vfVtFCneDj0WKZIw7i4fu+nn1Sle7CR03BddMBJJ/ZmHARlSSuKmdCzU6roxTHBkbpu4XDW9FqvLObuk6boeQu7tJxL06+IFCaO0LiZlEO/+5G4dOdCwzgMV26DLrZ0jymoQ6WUkJ1cp/Gdk1qWO2arptIZGa0HJyARiHTj+yG62XNnQUhdPEjzvijscoyola8OqbJmdFpd57JOirGeEuQPQHIU7XDSctkxL96vdegp3L/BSRRyxfscjwM7sOwWMlyOEgpv1tFQN6xMihGd/Pm6NWkQfB4BJrZkryVYUKWUg4S8BPldzjwkDuE+xzfiS1siLarcllUd77Yo42paVW/MSJBffVNS1a6DzMGX1r9DT4eIH6bsItqJAx+zVJim7rH1IaLHFuoN0cT+BYTokd0fGrIlWJFJydUb4Y2o3JYVz09o2KFW0cvg04CE5rcPYMqTcqZKLAxJYvvliwdfHrKYcxPus4VMw0mFP6Hzc7JOunHJXks6m7F2S3JxiFvlJG/tG0ckeLViO+Ro/gTWnPxBHHBy5pDt4zoHshbpOwW9ONzUbMhIkGrkKORFDSuSKtZmif4+9OwUzLsbIb1x347L5xdrwxoWa7fku+J0h0Ve+LlJlTMHYy8JdHmj+M5IRgvMYL3j8+bT0wCuT/kDtup/bxuec12gsPB0nYYfigXitf9VhUJ5HhMdZmOE+20xsHtMSGFCQ3gdxfsxhfbH0XyiP8KXtsRbxeeFpmKmTdNvxIkt0fCUbnp1Vgc/11i7Q7KiLJAgCz7H4WNaghVfFD75cEIOmzSq+5KWFCklex1IRkmrDjHVqfLVmxzEOlHXVA6UtOoE7p06eNDGGkSJUnAK063YIf0caGmT986CTAaMSxkVfm5Smij0B1J+S69j2W5TQmsLu/DcEzXMQznBKszcYo4R4RdsDLhPOZ5H3tO54xqtfAdhxUTrRo7YAkIwrqYlG4UTbPrOjOsg49WuTct+nD+AQL9wP/bdnDkUpaEh7OvRDnhgoh1Y85c3IuOIDbDSFhMoYQ1QMa6kBQQQ7bCkYClrduThJPix+eTNYk9tKoX8nNCCwLQtwbZsEhH361/Afdj/1XVLBch9vJYKkI/IxQIkZzCh/E/MCfnGfdJUX/zbgPI/MSfdH4YQhvtt0fQvRubSr0DqkXElLZ1Nj6UNm5q0sfaNI6p4HwoD4yo2ccod/Al0LIwbKXTMdKcrMI2uPROl/QuY1njuLGBzPpOVICz/AqYna14/ComQpQ/EOpypZK+mCHXr7k+L6UhZNFqShm1eu95qgyn6lClZArljjoGcxvfgpGNGNi6AisMpg/uUKQtw8X4HiVi5LSvyrbLdjmmW+lvKQYjjzBvB5unNoKtW2uIYtms2ZBDgNaInVDo3hLSfFTULKvXtVcp1PitZE1Wbs6J95sJPk6w348hHVtRAz58zZ0sSeWDGloN1+U4nL6J2HShBoeM4kFRtzqrAU7MSwEipTLQTB4rynaZMjZja7D5liqcnZ94S/GS0Q+uG91lSnIb7HJle7hg2xlgbikkeOktaEXhFSZRxKSMknbxRHKJJoVo8TWoqnYFHQhde1O8T+UhJn/skXiv9BLF2FMHsBK/8Up9SSqEw0uF2Zc2mFAdFB/FMFPSiy0yKEyUE/ifmJJ8gfMy+J/SNh6zANA4plVuzomuOHYIfJH8AHb3gJJ6R+qakSEWKDqBwjbVbkjlRdFAXKp+dBvVqDl1JTgyYyp4/6Ei4PKYlORyhIbyelZVzqrEhLhMyHh4rXh1C3sVqHJyjL4wJqnjxRfyrcS2Fz6XHFgN3zpxuRujJLe+Xyq1ZAQ6U74I0xHNnQTq2LF4vfFAneGfKMTwW8nBKWnFvuk+YEhJY0GsLDKLoIBoLkSM49LseSgp+ODCD+8V9Cu+1eL8lCdZFB3HwLt+FJoz7BO5rFkwMJ82ZtyRDqL4pKfdnaYsJnPD2rHr6B1GllJKmh3ED8qzAtC14UeNKWgJGa9em5b7wWA4BMDiBZ500PtdDSQk+rNqCwqd6I9YWkgwZbFrSir83fwD3Ufi5SbXqyz1oQumE+9p1mNDc+l459orLmEaT0kRymT+Btd11Jit5JgzCrdieFYmbxwLOtWw3qGMM7ePexMlg8OkZofFxjfJmsLb5E859RegCE8o9Np7twi5LHfhaq1pRPY99bNoJVWUKN4sUptFTvhXuw9pKkp5xDesgi1l6Sxrr4sq/gDWBeSCxdniqvFmHQlWzHllFDP3jZKN+VcqBYsQdCV1wChABf8KSZlNgBvdP6NkpVXQQ6G6SvShTU0rJgZ2fe2AGaxLvYxZZ1Z8/js8iBTl1+S5TwCn0IPnSFsKFB7AXVW3JygSGgA5vFuus+3YcDQvd8HOdzYpqgnhfSmvzRiF9DvdhLWoqQeZJY11coCC+JKZhnkeRE9awMgny3gz268LDOj9ET1GMaymAU9alRXa2onoehd8JnCNKNi8sFSD38VoqQD4iFwuQva/tgKTokkN3cp3JCsqzdl1atPFv/dglI+jifZpbvxfGMppbGTwU7scDnTPvJERTH/r0D6LwXGg8au6YLTkKkW6NP+3XRArtReEommZYjq3zB20Z2TLoL9xvy+EjZw6/t2QvDln0EhQedgyi98gNjjqFEy92JAu7sLiuef0owpfGNXVmxpEVeTNYcHPH0OXMH8DfT/8BTa8MtsobsUUvXb0JaNTqjRkxLhYe1mSwtENeIXLQdR6d2pJWfBf+ODZdz50FUER0QnBwwpYNlSha18MJIV25Hk4o/4LGRZ7LCuM+Z14bNs9mxePAkDOGPDJlmAZXbkgMxSKBRPCR7RoacD4reMfAU7NInZ1zOo+xdmwAJ7+zAmjlRaF4oWEHCRo6bsvErqAH9+W2N9sxvu+zRZ/sS+L7rlmfgXRmAYcb162EmBfLd5pq3zv7VMPKpApO4lBBwzwPl5TIeWxTTLpVW7JyCCBS13NnAXKdK2k5iCmFAzVzAhgGWbLXIZ9Vbc4q4zokPu6TOGTkzOvAQF2MFh20xOgemMF3GZzC/RacwvumLIVJ4JFunQtxCh1uvqeqzVlgVgec8K5cnWlhXE/JhC444XiXSveYMuWIdNuyidOw7DqblWR05rYwf6VqS1b8M6FhTcMaceADv3x5bFO61NEOHVCm5WV8/qs3IlOitMUU7X3pHhSuVVuycjAr3aO7/Gez6s73i1XRiyh6GGRGKhLTsCmzYwYDaW1smBBM4Hk0rlaFxx3a1PmseCfKmvH7It24v9mh9limdIyNSxmYZjW9iNr9mg1IM6/cmpU1In8Q8injclrM1YLj1rS54n1YQwiBMK6nIEfTkkNmM1AqRCw4jfIknM2/v1ayTQp68flT+krUeXAKzx8R6CV79fRuyCmu+Ox7TPhdWEiwAVK8z5K8hQ/v+kWGG5hxYAC1D6Ylr4eTSWK7PY/GBYXse3wOnetnpkFOW8ABnJ8T6V2uh5IIiNwCiTG9RZRduk5rbPdTsyI5Csw4BV3pHlPM55XbsH5wGsGQPdK46M0ikYvyOkqHi/fj/RHpvnw54BG+FO57ARxczIiB25fEZxHtsCT/h4npeaO4R5vKZqFc0CGFVVuy4p8g5rfptV6BUPAKzNhCfvRYkOs21sWF6MYGS8leTBeWNyYAVdCGb070qzcCVe16OKGMSzDLM7C3bnVKlTWbso9HOzFhoYyxbLcpmTLcl4lc91iYLhXvx/Pz4g/zMX1dRK6iJHFxxgslmPI9HIW8Vs46a9P3qCUqdpgi/SXC3z23lANyP6+lAuQ3XK+//rpat26d+tSnPqWWLVumnnnmmXv+/bJly37tP5mM0/2rr6//lX+/Y8eOe37PP/3TP6mWlhb18Y9/XH384x9XLS0t6p//+Z//26+TBcjyFzrBsDedxYaLvySW66AsMvjpVyjfCQmRN2tJd5p63rxRx8hr3EwKoSU0jE2HRBjjCjYWEk5qNmSku8GDBAkavsfnYFycdfjhNFkSoRecsiXcr241EqpL95jK82hcskSinZba9JVOSe7OH7SFItOwMqnC/Y63QSlw9l1nYcAjScibxsZnXE6DRT+BDbegF/9t9caMcPR5OHWdw2Lme3xODIW3v1eqQsed8CkSnEpbsOl4s5bQkIxLGemWRo7oac/DCZFXLG9EMcTwu8CsRrLq8DF2FZkTULMeh7HALA7bxGLyEFayFwULN0yPZcq4nx0iykCYZs28EON6Sgy5la8OidSHpKbglDMBocG6rNmRb/HnjRuYMNDUnjOniy9t0A4N4fO68EGdFD/r3+gWLHNBjy1ElbJXhpVxVYf16aAwpvwW9MBcygBMdm3LmhEuVrzPyXXIHdcShLNZkdZJfsMxWxLSJa9jHWQoSilB0BrXkJdS9OKYqtiBQpPENuKM/QnH9B86jilBcMqZPoiMRT9bzEup3AbEL4uFvGemQY1KOrrpmvUodikFyxvB5m1cyijXQ0kpfn0pJ5CR+R2xQ9j43bfhQ/DYpkyJCnr096/vP8ppeN8Fp9BUYJdeoAw992bv8Ar34Vko2WtJI8GfsESqyAmbP4FpUe2DaXmeSvegk137oBMayc+kZgNkoaFnpzCFvZyGOXfaCaFjUeS5swAfXMLxexUe1kF2WrrJkLO8EVtknuzO/uLvPy2+urd+7FKV27KC/c4bRc5E3ogthUbVZqCHCz83Du/aAXze+QOQL0Y78TM07dPzQSlPwwpMt4wbACsYV9BECg3jns2Zx8S1fCcgGpFurd/X07SSvWgcFB20hOpHj0y43/HshPtsAY74FyzxSUU7LYGA5I1CisasjGgHuusFPUBxM+dBskG0RyAwY0vjhUSuyq0AjVCamTOPbjUNxx6dNM7fVbE9K6RGpZRIbYoOODLF6o0Z1Vi7gGdVQ0Bcp02RcYb7UZRx0lXaoqW057TPrg9rJ/0jwSkcZDlZ4LoRnEIB0filY0KmYkMnd9yWIl9IkI/PoTn1wphynYMMk8Qp/4Ilf29JK/Y59yncqwyuDczi9TKI1X0C+yhJjbE2+Lc8j8YxjdntNNyIy412wFfCSWfkKAoW5o5IZlG7M33xpfF31TclpanhOg1QQX1TUrlPmKpie1atfeOI/PvadWjShIYwcY0cxfpKv1nRAYdG5jqblZBaNuRyx5yGIxUM+QNYA1gU+xOWrPeLVQlEDrtPYmJIdK9/AY3PutUpmZB6M5aK7l4qQO7ntVSA/IbrpZdeUuPj4+rpp5/+tQXI3bt37/nn+vXr6nd+53fUD3/4Q/mZ+vp6dejQoXt+7l/+5V/u+T2rV69W4XBYvfnmm+rNN99U4XBYrVu37r/9OlmA9H1lvXQzGS4Wa3fSj6s/f1wVdqGb4E1rvav2cJS+PIIAPJ1Z4F+AMZBJ6tFOSwKASBUp6NFcbo2sLN1jipGPxQBRu8X7LZX69iplXMT43/MoEo+LDloyJaGBmAmwXk0S2vSVTlW6B+N36m2DU07HzXUahw0aB0PHNdozrbMKPjstnxXRlMYNmLDdp1Cobflqh/LY6KhEjuL9UlueNwrvA3Gq0Q5Lpg4sTCp2oAPv09KsD+/6ZcPzL+gNfATvkZQTZqoEZsHgb1iZRKfviTmh6rjOZEVzS3JM/oAtIX25Y7ZkvLCgZOiZL+VABQLT2KB9KdwPBb1aGqIlXJEjthysOb0KTtr3ZD0wYZkd2twxjLWJqA0N4fBQ1uxkV/AA4k0790to2KFThY7j7ynotQWT6EtZkgURmLYFxUyCDqcioSEHkcvcDm5a3NwZJBkadmSJFTt0crcuOIkZLehF2rLHhCSHgW6RbudgTQqbUkpybSiTYqZNaBiFkDfjkL68dxZQRG7PKuNmUlDHFTscrXe4Dz6g0j14fjj5Ch/TeQ7DtnogOimeDGapMOV5sbeFIYks2tj5jhzFBl23Jq1q16VBqrmVUIGnZlGMTdlSIFD77k9YknpN0hVli94spC3uE/CJ5Q/aUoT+8lX04hju56dn7gmxo+wwcgTPIWUTwUkc5Ag0qNoC+YoU31nHOJs/iM/Il8ba9Dc/+TPJ5GCGUeCpWWXcTKr1b3QLsWzXW20SZmlcxAHcm7UE8FDQo6e4RDNrWlGsHcVc17vNAmao/vxx5TqLzqzrTFaMuZQTebMoNuhd8Ji6aD9tSm7Kj372SaGzESXKbBbXwwlMVp6fUAe+1go/1Rf7Vd6ok8fAe7J2nSOdjRzFWln7IORSueNYHxkMGZy0JcspNOQ0jIr36cDGg/jdkSM6jfwiGjLnvluvVlTPq/qmpORgsGnx4V0/iqUep/llXMSEypvFQbJ0j6lWfqlP5Y2gWUXz+uUPauBTupJWxtW0ePxi7Zb4G2LtluRG+JK4hypfHZI8CspoSTqkP5FUP/oAig7g2StrNsV7mDOHdS04da+ZnynezFZhsUqpIuWkhH9Q3hs7hOfJm8ba6zoPGiExxtyzop34TLiGekxLKGT0enEC7X4kLs2YXJ2hU9ZsSnefFzO5/An4MIgtpzwudgj7ESdlpS+PQKHw/ITy2KZM8BmkW74Tf0fgqVk5KwQnbJGfCSBk0MniIJ7dm3ZCWqs3gbrGaQepce7bcdDcTmE9jL4wpprKZpXHwucS7sPnWbHDFPUGixRONEv3mGKyJ06dxYlxFVlSxfsslTOYWCpA7uO1VID8FtevK0B++frMZz6jGhsb7/mz+vp61dvb+3/8b77zne+oZcuWqbffflv+7K233lLLli1TH3zwwX/rtbEAqXoO8qlwvy0SprwRdGB8SRxs3SdMOby4zmblwMdugTeDDXNF1TzGqDdSYoIrPKw72To4qWZDRjTHwQknuIvoUI9limY2dwwHqYIeW4IRvWlIqdwnMdbOG8XGRc0yiU7GVfgrCnphnnY9lJTON+lNrnNZmUyUtpjqwgd1yriSFikVr+5v7EII4eePK+MCGPw0CteudTTX1AKHj9nqie8XqXAfFvnG2gUkT7djtJwzZwtDP/E3a1TDiqRa9eUeVfbKsCRp+xOWeEqMq2lJOqZcgmhTyihc52GMNS6gExc6jsXfuIS/lzSbFTULosPOG9WaYJ2XUbzPEnpI9caM8t5ZwEEpjc4kD8WhYWdSRX318sYEJl01W03sAAAgAElEQVTt0IGH+xytNA3VRQct2VDYWW+si4vUj4x6FrC+pBOoKGnDJ2Heb6xdUMEpWwhZlJksb0yI5p9Bd8uXI8nZuALZCv8uGjJFbpbUBYOeFASm8f9zshCYRXElkjANWSBGllMAYkxd57Lye4m5ZAeWJLb8QVs6ocxAIMaVUyEeeMiozx2370F9MqWZUIiqzej80sTKIDHX2az8d5QC1q3BoZM0Jn8Ch1d2uyNHnM/el3SK39xx7X/SB1DjAky5rocT6FSfMoW3T9kPSU/Gdejiox14z6V7dNbEr6FgVW7LCoSCoY8kBNGTwYR2FlDBCW2gPewkHrOhQYlFYNrJHCo8jIYGgxqZyB3ttITIVNiFeyT07BTkg6choSrbbcoUioZrUqqMi5D7Ec5R0KtD3bY4gawf3vWLpIXej/znJh2J52l8NoPf3IrDvw6D5DqilJIOuzcLGVJwAutn4WEdlDqF3+t7bF4m3N47C8r32DwkR0NOR5hyOvqmOPEi8ta/YAn4gUV+8X4UCJxAMzCyrNmU554FsjejJ8cXM5KGTWoeC9XqTTCUu24BEc8wRU79KFUtOujIgFyncUAOPDUrzQPm/tBb5I9jLaWcsmY9Dp6UBAamcU83vdYr0te6NWnBS0c7LfG+rX+j2wlc1R4UptRTmknYiH/BEqqh+3YcGUyDzsSewamUKzFU1pfC4d2X0lTC6/BGktjkS+FZ9Twal/8mfxDFNV+XP47C0v/EnEzBXWehQDAuYH8mTplXzjzWoLJmU5QJXt1EYUBhyV5LQg8Zopg7hnUkOOkAKwp60dj0Zi1pCjCE0P1IXLKnYocwbc4fRAFBeEphl3XP1IKf7ZavdoBKuYiEWbMBz1vpHuz/tevSQj1b8/pRSCwfjavatYB3VGzPiuTbm3ZCcwt6HA+JxzYFCFOxw1QVq+eWCpD7eC0VIL/F9ZsKkH/8x39Uv/u7v6tu3759z5/X19erP/3TP1V/8id/okKhkBoYGFD/+q//Kv/+2rVr6hOf+MSv/L5PfOIT6vr167/27/qP//gP9Ytf/EL++dnPfqaWLVumjNQCQv4OYmPzL1gyVbjz/WJ0fnS2gPskRpz5A+haMxTMl7JETsVgLtJXqj9/XEbC3PRptHadh4Sl8DAOdB/e9auy3RgV58xj0Q73YTN0n4DMgLKW/AFbqFw5T86qD+/6ZdEOHbfFaMwE9cCMrRq+2A+duKb+FHY5AUmuWwlI0AaxcfnjzmEof0Dr9B/FglnSigW6emNG1a9KCU6ycmtWzb6/TiQx4WM4UBcetoTAwqAydv08j8bl8F90wJIJS2GXJV4ESbfWXpVdb7UpXwqTnhVV804Oyikn5M+XdLr17kfQxY9020L5qnh1CF6CI5CYeDNYeKs2ZwWdSq394hyHwIwtBURgGp+9Ugom2JtJocaQLBOcwmbtOo+gwKot6EzyO4od0qbsfRqnOep0VMP9mFxEOzAOF1yuJm7VrEcnsaAHrydvBL+Th5LwMdyzla8OwXdy2kHFRjstyTkp32U6MoBhh3xTuTUrGyp9DHydoSEnxTjaaUlhkjuGqZpxFZtf4WF8j+4T2OAZtug+iY3NuAzdsetMVk186zMoFLXkoaAH301piynyrtzPTsNkqYltxrWUHMaYHE/6TsleS7rKDE5znXbIV5Gj+Jxdp02Hqa8nbcSDMqk++PSMYE59KUsO8czxKehBoU+NteRHrEmryPMTkKbpYtSXwiGodI8p0iBSd375Mq6m0XXV06aKHfgOP/+3QUyBtDn4w7t+FdZp5JQGpr69SvDc9Oc0lUxD9qKnMQ/EplSkG/LFyBEnP6X05RGEnHVa6sb/qkC2TNySDBb3KVOkIZFudEk5ZeJz5V/Q6fYzmHQZF3C/ejP4XfT2sMh3345Lro/n0bha+8YRFRqy1envLpeCt3ZtGu/1mJOEziIoMA2JVsle3Bu1D6YxmRjG/WJchCzOuJmU+4IBe8bNpPjwjIsZMQnTpxRrsyStvqRVN4My6N6HjuMQR78SCYHs8POAmz9oC4yCgY7hY5hWca3zPT6nYocwpYm14/cbl+ANoXSOPg3jIkh2DJys2ZARM7jrLIJYPSZen1LqnudisYxpsefsuz/9FLwbrSg2WWxREhSctIWSSPISJUuUnZbstSQdPtphSRODZvDQkPbjtWO6Vb0JEmge5hn22/ilY6IcKH5pFPS1m0mZ3hd24TV/76efVN4s3ne0EwWacSUtE8OqLVmsG3pa5Ho4oXa8eUh8EcbFjEyylVIq97PTUhzF2jAF8WYskTNV7ECRWLED8jZO8KhecD2UFCR6rA1FX9XmrIQHcnLOyTpRwvTsVOwwVVPJtKrcqpPItSmfhKvKrZDPuk6bkB3rkFkGkHI6wnXFuIr1L9KN4qX05RFkGD2YFu9YaAhrXvkurHFsHtWuTUtzM3fcVn+emV8qQO7jtVSA/BbXbypA0um0+qM/+iP17//+7/f8+eXLl9UXvvAF9f7776s7d+4ot9utVq5cKf8+Ho+rnJycX/l9OTk5KpFI/Nq/a3p6+td6T1wJaIbLd0Hz/OFdPw6lJhZoZgCwS1l0EIddGgLzRjTrX09ISH7KG8WiHmsH956/K3Qcm5I/Yam3fuzCgz6HDdB9EsWHccnpcIWGbKEmLd6EG1aCDEO/Sf4AOnh8vbmf1QFCt4BbnH1/nfI8iqwG42rayQl5alZNfWuDTH8o29r0lU757Fy3kFJbuRVj7J/87JMwf+/FYh+c1EWLzpkg158bd1kzDpvlu3DQzh+0ZZQ++/46FX1hTEU7cFikTKnoAArCxQVacFJ/Fy+P4OfGbckAoTHWuITDcaQb7720BYd9FottX9+j3CdMyUvJHdPFnP79lG59eNev6psg+2GWQt4IxuZEfBIAoBS8DdEOjYT83DjCFA84XhEm/pLgkjeKDZ2yscAMSFGUplRtRoBcQa8tlKuCXgczSjhC/aqUqtqCqRwLqKKDOPhyokLPDPn6NOuTzMSwt0i3LabTWBsOWoVd6O5yarE4MIwEnPAxW3JOaMzmxhZrw6GCRtjYIUs0866HE6Itz5nD4bpsNw624X5NPKqD7JDyjJr1kLLQn+E6nxWjctluHMJq16ZFplG/Ct0990kYhcnSp3nWuJxW7pOmTDJih5wOPFOH2fkl3YfyMk5Cmt8+gCaEpg8xbZpENcozA9NoAkQ7caiqb0oiaPF8Vg4Ev3wV9EBiVr4LneoP7/oF3sDPmcUOE6Fzx+A7CPc5EyQmXvNei3ZoP4LuBMcOWZIN4LEcszqJYIWfGxeTe+6Y84xQl17agsT2ih3AJJe9Muz4AF4ahawyYakdbx6CFFLLCSnTC07a+Nw10axudQrG7KtpyX+g1p169BXV80opJeSkaCfW1fKdyG/iYbH2QeCtox0wEUc7LUcSp6leec9My7Qmd0wfWsccfb3rHO4VrhukzHlMfA7etAVCk86CCD49o7wZxxjNxGvSmAq7LEFxl+/URK47C9JgYkfbuICiafibm1VwEq83OGWLN6BmPYoT43rKmbRqT0bDyqQUEErBXB2Y1mvv2awa/uZmEL42ASziPmHKFNK4nFa1a52mRN2atNDcOGFhAeU6n5VGSKzdkql40UE9zTxgicm/oAdFP4v8xoa4SOeIPvZm8byGjjv44tIWUzxKkSPo/HPiwP0iOIk1o+vdZsh2OxyoRHBCPzPPT0jDJGdOy51eHFPGJceDSglw0UFLvmuazInHj3ZijcqZs8UD6j5hCjK38tUh5T6B1+hP4O9zPZzA5G4ev5vPUuSIRplrD1XxPqyP0Q7c/5y8cVrEiS8/D+J+F587wn16Cn0azyDR/EyP54QmMI3vwZe0ZBpKAiKbcoWHtbRzylZGaomCdT+vpQLkt7h+UwESDAbVkSNHfuPveffdd9WyZcvUN77xDaUUCpBAIPArP+f3+1Uymfy1v+P/NAHJPYLOf96opppM2mJU45i9emNGsLDGTeD4Fnso3Lfj0iE2LmUka6JsN0K/QkPochXvx+LOADnjOrB3JF9IiNbZrATYLU6z9j0+B0mSznDgNMa4BHIXR8VMnqafpWI7koc5MqbJjcSMiu1Z9eFdvwpO4aBetyatKl4dks8u/Nykcp2G9tiXxFSH8jD+PZEj+N3etCW5CSWtlmR6eO4sKG/WEgMqfSPejM5eeQSmYeNmEijaYVuSc92342LwJJY23I9Nx/fYvGQkFPTCs5Ezb6ldb7UBT9qHTSJvxFaXP6iR75jIUX8Co3Bf0pF6sbuUP6hlM9oIXrUFn1NoGIelTV/plMDGur8YUMEpbNTs+nEiNvWtDWrwm1uRj6I30OJ92HAa65BIzM5YYBqFZGmLifevk5NptqcunsVm8X5QWOh9KNuNjZsFGv97Gjt5WGP6MqdLxfst1f/eNhBRZmzpapI0xUwJeih8j82r5Y0J+ERMHGSjHTioh/vxZ+xAUs6glBKyWPkuU8b8eaPYOKu2ZMUMTD29cTWtglPaI7VIfhTtsCQNONKNv4/TiortWTHWN5XOqJx5HNQaG+LC9t/y1Q4hWBlX0jIVqFsDGo9xM6mMGylMVbZmlf8JgBNWVs4BP9vtgCCKXhxThYct6epGjtqSE8RpFGlfJXudjZ6HKPqGvOlflWAxn4T3fOQIDhPeDBohZc06aPFcFjkqrwwr1xkc8CmRocyH75cTBBb0eaM4RAZmbMliKGs2VeHnxmHgpe5cP9P0nxDSkDvmyL1ImWNieMWrQ5LZU7UZcrLynbh3SWeLdEOyVbE9K94ZNnkqtmfhK0s7nxebGCz+CUtwnzDlkOt6OCHEOeb2VG/Cd+I6m1WD39yKBHtNsyOMINKN+6N6E/IufEn8PDvuwSk0NujNiHZYgk9veq1X1l8m3eeNOP4yyk5dZ7Kit2cYHifGlH8yZ8e4AH/W3/0MGUmhZ6dUYZdGWGufA78jkpU4JWVBSgkWJ9c0WLPDzpDd0hZTZMChIWd9Zt4LvWdcT2ofBNCifKcp04fQkC1GeE7bfY/NS3ZTaQuAKDIBuJSBn+4o3i/lb4R1RI6gaHDdQrJ9rF0jak87BClO3nLm8ByUNSPjomZDRgWfnlHRF8aUfwHPnDerp8gzeEb9cUskaLxIT1usWoh020KFIvUvOGELgrx0j+M/qVmP/Sx/wMnCYoYIQTXlu5yJfNXmrFqVOyJmfE7q6LNZXJy4T5nSwMgdw1mFBTn32wdiUwLGIO6ZvqrgpC1UMq49Bb22TC1Dx22n8B6GeoDAi5wnZ5dM6Pf5WipAfovr/1aAvPHGG2rZsmXqm9/85m/8Pf/1X/+lfu/3fk899thjSqn/mQTrly96QFyJBdmUmDoenLIF51jQq5NdZ7C4xdp0au9VhM5FO3AAzB/EQkucIbXm/ifmgNwcAvWEGz0PLEyYJTKUnY/QcVtwg/QtuE+Y0jms+4sBkcHUrcFmJ7KfSRz4y5pN4X/T2EhDpfuUqZrfPoDCYxKbRu64NgV/dlqwqUopHKiu4jDte3wOG28nuugk2bhPQitbvTEjJj121T02fA00BRs3k9KxrdmgDYbzjoTIY6LQC/fZqu+vtqtv/eT/AQQgg8+GqMXgpC0km6/92FCRo/j5yBFbEswZPEaJl+tMVg5vXe82S4hTzQaEARYexhSHWSw589jAjWsp1bAiKdMcYiB5CAoNY5OOdGtZzy1kldSsz0jeQf4gNiPXGae4ZLYANwCmthd2WSK/K95nCRqSaba+lCWJuJRI1a7FVKRkryVZJQxZDE7hn7xRHIDKdzlEGNJuqEOPdugpRcKS7JbG2gUhXflSlky9fEkcrKo3ofAjySs4YUtXkN1epZQKPDUrRCPiPMuacYCp3IbMBd5T+QO2dL65eQamIY0s7EL3lJ1ITlQoZ4sdsuS9cIJSshebvzeLZ6ZyW1Y1NsSV7/E5Ma3XNyXViqp53PM3HVQpwQvG5bQEhvnjliAsjctpQQN7bFP02+xgejP4nPKemRbCW+6YI5NkaOYvX02v9SrXuayqW50SXxS/U8rkPI+igPalnAKHxnBvRktbNmSQn6P9TAU9kJGO/vUmHMw0iampZFokl/6EDgF9albVPgjvQP5zk2g69GAdcp2GDKWk1ZLsEBas1RsdDwjRyXnPTDuwjQHHN+Q+id9TvN8SGU/oOO4PXxrv03U+q6o3olAwrkDXr5SS12BczIjkyH0Sr5vUvpJWPfF5KCkSQI9lCuaYiGbjclqCH9kQqN6YUcZFEIH42RN9mzvmHOhCw5hWuc5khTZYtyatcuYtmQYFJ1DklrTCm8BMHAaXekx8VyWtkLwW9GD97P7GLlW9MQMJ1lFNoNOv12Nqf00/nqnGhrj4SZi3o5SSdYEHTB6aC3rxfoJTtsp++wEBhRQexjrOYFnXGXxPFa8OCb3RuJyWw2zDSqyPteswgXTfdrKqYofws74UDvyu85Ak5X52WnlMSyaYJOb5UpZ81+E+ncHVjzVtzetHBdoSa7MEyRztsKRYobwpZw4Hejb/ig5oUtUjcZF+ElXNK9ppSc5O/oAt+45xI6VcDyXV8uUIu6X/jgj3gh4nT8l1HrJdekALD+OcwL3HfUpPDF8dUvkDKNb8cafBkz9gC2muvikpMJmig3hftevSUuhzmlXQg4aoP66LIA0v4V7MddBjQiHBNYe/NzCjYwhOmxLAzMwh41pKFfTYSzkg9/laKkB+i+v/VoC0traq4uLi/9bvef/999WyZcvU66+/rpRyTOjvvPOO/Mzbb7/9PzOhr5zFBp7CBsKRaNkrw9Jl86W08U9rwXngo3mu7i8GVPE+LT+45EiS3KdM2QzYESKpp251SuU9g/CgwKyWCB3HxuxLWdLRbKyLw7ycxeLKcLaiF8dU2SvDIq/hCLVie1a8IrljtpBlSNYobcFmXfuFQRV+blLF2i218kt9IiliaBupRUop5XooKeZU90lTrfpyj5PmPuagLSu3ZdXy5eg8xtocvbg/jsW/oBeblPukKUnf/gUcTj//t0HJKfAvYGEODeNgF3x6Rg6WRQcR2uR6KIk8AK2hZYe3tMVUD0QnhTvPEXnxPmdx56HUm7FEbx456mBAI91a0qYzPHa91SbSB+Yh0Fgb7XQY+9EOzdI/isKwajNwsNTbByc1aWYCE5TIUU1O09OyooOWJOhWbIexfPnyhBBl2r6+R0WOOmm2NCfmjmmpjUZzFu/Hd0FZWrjflnRypgn7Uloi1mlJHkpTGcySQjzRKNfcMVvSkcuaTZGRcZrCDiYxwTTy5o7ZIvFyncYhyLiQgRHXdihUNRsyqmoz7ncp9s9gY+cEkJ3S0DB+vz8Bz0BhlyPPa/hiPwg7OvArMO0goylFMi7AZ8NpBVGUHgsbedFB/L7AU7N4Hgec90HZYvVGIGzPfbcehzgLqGJ/3BKJZe4Y3hsRvxU7UMC4zqBgyB/EIaWxFmnm/rj1az0gBT0OVSh03BYak3Epg0ZBF+6z6AtjMIVrmlTgqVnIPHqcqWfkCA4Y7hMo+vxxFC3+hKX+9z+4RDOeMw9ZUc68nvpehp4+dxyfp/ukKT4hSvpIMqpvSmIKN4yCmP6zL/5t4J6Oa31TEmuaJsf5F4CJDk5qiIbOyyBhzPfYvHTojQsZyYVRSgme23UuK5MlJlL745aa+tYGVfsgtOxMpeb9mTvmHBbZGCL1iN4Ukgo9linyG/qPeLBlIjqLptwxW1LsvRmd8H0NcJLCz42r5Y0J5TqTFclVQS9klbnjtup4twW5KfM6U8fS4AdNDuTaw+8r2oE1nHtV3oiDzmUhpBRQ4e5TphT0pXtMQTOHhlF8kCDmeTSO/KbjaGYtXw45qzdtqegLY6pyKz7rqs1Zgax4M5ZMwmvXpiXjyXUOxSH9MOE+B4DAIo6vpawZUzH3bYRrfnjXLzJLEhx9j8+p5rcP4DB/Niud+qbXeiFF0qjkxrq4IKMJjajakhWpF9fvutUpFRpatN/dSqjKbVnB2bvOZyXMkk1JEt7KdqPIy5nD877rrTY0hlod+EjlNhTozMJhI8q4nlLBp2fkuSnZa8m0vXpTRvJeuPcxF4SgE5LL6OfxZvDd5cxraZxWODBnhCARSpa9aUyD+t/bhsLvGIoRyrfY8HI/Ehfct3d8aQJyP6+lAuQ3XP/2b/+m3nvvPfXee++pZcuWKdu21Xvvvad+8pOfyM/84he/UH/4h3+oLly48Cv//Q9+8AM1Ozurvv71r6sf/ehH6sUXX1S5ubkqFoup//zP/5SfW716tYpEIuqtt95Sb731liooKPgfYXhzBhJyGGD3jh0f6n/ZnSYrn/+e42vjAvTSoeNOJgAf/MAsfkfFDlO6ge5T2NCYJEuii/uEKTkCVZvRuffopGxvxpEYVW9yDH4MPyrfBR1x8UujqqDHFpmD586CSLg+vOtXoeMoMowrSDGmtp4LE70qiw9D7EgTIcqOne/xORltl+/Ewaewy5LRuetcVsKkqDXOmcciywXOpw+HkW6HKsRNkbrXujVpOWjmD9qiJ2bInGROdNui280bwcTJuA5GPA9xNOtRFlF4GIf24JQtuF7jSlqyXwLTWkd7zBbZETMbiGJWSjlynAOWfCaccPFeCkw7WMjCw46foLTFlO+CkjEauD2WKQFWhB2wi0ecY7jfQfoyyZYFL2UOsXZL2PC+x+dAKMqg6Cjeb0lxGZzEQYhGRHbBI92ORNGfcGQ9tevSyqNxuTTfSoiXJqgYlzKq691mpZS653tmJ4/+CRrjC3psSfM2rqaVN4PCmQQfTmsKejCZC/fju67clhVyGslCwUlbCFPGjZQyrqQlBLN2LUhortMoIGq/MKhynpwVSpvHtCSgtPCwJVSxwsMamfnslBx+ataj8Mkdw+GCafF1a9Iih4m+MCaEKU54Cg9bQjqiUX/xlTOnwwsvZaQbGXhqVlVvxN/HA8Ot75XDTNuH+yxvBJO4mvUZCaosPGypk99ZASPrNnScK3Zo+YjtZFgYF0ABY+ja3nf2q/JdpiByeT/5F/S097F5+T6LDkCSUnQQHVSGcjJvhAVJ5Vasl7UPwlSbO+6EW5KWR29SQa8tB1NSrCgBUkqpyq1ZVd+UFO8Hca/hYzj88buPtVnivaJ0LHcM3x99BXxe6ZthvkjVFtyPsTZLfCiR5ycQOtlliZaek6lIt1McsLlFDX7Ok7PIj9JEvdIWNHWY5UJTtOt8Vpoy7hOmfA++x+cENMDiO9qBz5vJ3wza86UdAl3RQQ0I0AAU0u2o8c8dQ1Hne2xewv3KdpsCMiH6tmZ9RppkkaO2IMaZEUNFAalNPKy7TzoySjblFk/CCru0v0Tvab7H5oGV1xM9IfVp78TyRhRFPk1wIgWy6IADcGHorutMVp4lAmWYmB6YdmiGSilB4PoXLClyglMOGCPWZklIa2GXPgNcwQQ0NOx4MEgM42S/7JVh7H+6cI21WdLoYrBjxXYUjhU7TKFlrsofAw1Tr/GUjJXuQROn+KVRyJhPYA/2pZw8LeKbSdukRJcTMvpGyppN1fDFflWxHfIz1zmY3gt6sBaWtqBAL96+NAG5n9dSAfIbrtdee+3Xmr1bW1vlZy5duqT+4A/+4FeyPZRS6qc//amqq6tTf/zHf6x+//d/X/l8PtXT06N+/vOf3/NzP//5z1Vzc7P62Mc+pj72sY+p5ubm/1EQYX47KBKRo9iIoh2WuvBBnSppdQyDVZuz0mlmQjCzPGhk5KE4d9wWky3Dq5guLp4OTeRgoB03W+psGxviku5tXE0rX9pS9atS6tb3ysW4zG6bV4+4mVjsOoPN9Ws/NrCAZS2R89BIRswvTYPMbmhsiAuhZHEmAWUGxS+NKn8CnUouhtThMxeCExnjalp5HkWgXNFBS4IGQ8dt8YXwEG1cwmHYe2dBCC6uc+h2edNaUnE7LtQg4xqSrIk0JV2HqbjG1bSYNI2LGfESUMJWtQW/f+87+6W7H+7DgY2SHuNCRjCjNMHnjWrz42enlessCkR6QAR7Oe+EidH4a1yAMbpiBw4avG+El7/PKYSIvwxO6Y2LG8+wDuXSSc2cDIjBctRBO5P8UtDrbJhVm7GhCCmr1QmcCh3XjPlTprD7c+adorSsGXKWiu343oJTOHzVNyUlSZnm8rwRFL1Efcba8X6YRZA3YgtRpaBXAwA0QpWEseL9MBiX7jFV0YtjypdEh7diOyZtHgtJ8rXr0mL0pDneuJSRySX9F5zOcIJAfXW4z5aE+3AfNl0W0tyAjUuQ9USOgrBkXMpIsCCne/kDOMQQzZkzj+ea3XT3KVM1rEzCdK/le/6EJUZXdoEpKVp8EYPLgFGa58PHHDQmi9CSVkvC83Lm8GfLlyfkdYWPoUAt3qeDDLcCxcnPy7+Aw0q0E+/XfQrTnfKdzucdPobvinKf0hYkyzP0LdqBgpVFKMMYPXcWlC9pyQGVnqLghM7WOQfDe/4A7sW8ETw7PIwyKLKsGa+JidxKKRU5ojMxxvGeXQ8nhCRY0upMlldUz0uehetcFt42LW/LG4FfqLF2Qb4z162EBBOW7TbVvnf2CS0s3I/JL8PzcuYR7kq6X3DC2Q8oIyTUgYhdppx7M5AqGjdSkPjpkMDoC2MoGg5YIgPzpuFFq12XlnT14ATuidAQ1vjKbVlV9sowMlS2YJKolBK6IBHkfE2us5AFByf1lHyPKaG5bE4VduF15o5pvPm1lODN6Z0JDdniWSC0xKsnw0UHLYf4p32HpBVGum2R4hoXM0KCinRDokqktIT3Xsio8HOTqrEhrqq2OBLE/AEnT4f+Oko3XbcSaMaN20JFY7imcQ3SOl4MPvVm0ZjyPzEnBSp9ISQi8jOo3JoVymC+nk6sfeOIyLlCwyh66lelIO8dcFQRbAAVHcDnFHx6RhXvh8S0tAXNR9f5rAQVl+0Gurd2LShu9J1yzxA3rXsAACAASURBVCMWO3fcaUKRViffmSZmGteQ7VW7Dvj9wCzer3E5rfrf2yZek4odaFY0lI4tFSD38VoqQD4iFwuQwLGEGAWjnXh4mbUQ7cADWrYbJBXXwwmRV7jOZ2UEWr7LFPwiOz4cwfoTloQSNr3Wqyq34hDnOg9pVM16hAxSzhHtdLTc4X4sOAzaK92DSQkPdkx4LWm1JPzIuOn4FOjT8FimdMsiz0/I3+PNYMHx3EGmBDu7xoXMPR0hjw3D37Y328WsXbsWnWf3KRyG+fvp5QgN4e93PxIXFjvpWyTleLNYJKu2QPrkPmFKEBo9OCWt6DwTFVzSim4mJ0D8nlxnsiIJqdyWlQ5gU9E0JjUJbXzvBno097PT6JrqjmJwEu+BHW9OfKKd2LCrtiCUzHUar919EoAB6quDk9jY+F4Kemw52FRshyacU4fYIRwCmchcvyqlPJYpBnCPbYrW27iB9GtOxUr3oFvPVG1KQGrXYjoQOWoLLYvBfpQ1iVdCHzhCx3VYoJbGNZVMY5KmN/rKrTjUeLXnh9KPwAy+38qtWUFxlu/U2StpS/CV0Q6Nq9UkGaWUcp3LCrfev4Dni4fy0hYUiHyN/ifm8HnfQLFcvyqF93kIv9e4Bqka0cG5Y9hw2X1dUbMgkzJmb1A+aVzBZMKXsgQByv+dN4pnwriSlt/H6Y9xDd+px0ZnmNSYcL9zz5TvRMeweiMOU7E2HAR9SUu8EoEZW7IjfEncd0UHftWEzqKsoAcTG/dJHf522hTzN82xNKMSl8upEtchdu+pm+d9mDsGahPzcxob4qr4pVH57mOHcEjseLdFfEWus1nBs4aO47uhPI1+Nk5CmcNSshc+HY9lqtS3VwHnfNwhivmSDnXNm7XU3/3sk5I5419YhGk9j0nXv/29oZRSCBDUz58/Dv8YZVTBSazFRJ/Ta+E6h0kJJa05cw6u2LiZFFiG+4SeTmtSGn0EtevSgjMP99lSaEmTSQdUPhCdVMYl/H4+O+U7cU8Tyd2wQvtSTpkCm+BrzxtxktyLDmDtJemoaktWraiel4yYvBHdTW8xRb4YnMJ7VkrJpJGTZX6ui4M3mUeVN4LXW7U5K3Iwyv3CfbbAEUiMLN5nyTSzsMtS3/jxnyvjWkqycIoOWGIy51SoeP+9E6nSPab4QFy3EuJXi3Za6vR3l4NAdRkH5aKDlqxd5btQsLnOQbbqX0CTgt4cCUw8i72d75l7ByWyi5+5/Ocm4ePUdEf6nkLDDgGsflVKeUys4/QL1a5NqwNfa72HRhWcwp5UsQN7deSILT6jhpUgLdatQYZVQY8tIaWFXZYz1dUhsJQXUrZHhC73XP5Z7ji+07xnplVoWDcdNTyDMnPjYkb8Slu+2iGhjkQQFx62ZPq7vDGhljcm1KfPzSwVIPfxWipAPiIXC5A/t9BpJQqWEokP7/rRPRtCR8CX1F2/44s8G0MOvaV8F4hKNKzSA1CzHoWB67Tu3t+A96NmAwoPakr3vbNP5AW+x+cEb1q9SXsvbsclB8D9SFzCgUhhoR68oBebcEkrdKLGhYwkGxs3kyrvmWllXE6rve/sx+Izbkuxw2TUcB/Se3mxc0rDdukeUwhHREzWrkuL+ZiSoZJWLLC169KSZOt6KCnFCU13HIWzq0R/DTXXrnNZdfSvdirjZlIKJ6Z+Fx2wxFwdGtLGyjsLSLdOW4K/jLVZQmOhJKXr3WYV7sOCnTNvOenP07ZMgoRApAMh8wfv9TXQvJg3CklA7rgtHeXwMVt8BvkDeE+kOPm06deXskSLT7IKZRWlLQ7n3XUWB0wWm66zCB1cUTUv2Fzjekr545bq/sYuCV9jloNxCZktlVvREWUCsHEhI6bc3HF0j33aqFy9KSOYUuNGSjay3DGH+R+YdozF0Q6gSGs2ZCChemUYk8TbcfEUlb48IlMRfkaRo/jMaM72Jyx19K92QjYxbwlJzrgBDG3+IAo9b8bBX0aenxA6UrjfFmlIYZclHhnXrQSKkWspVbM+o5rKZtXK8lkcoDQpqXYtsiNcZ7PiDWOCd3DCFpN80QF4srxa4li5DZ6TwCwKMwaxMTMiOOFMCKiBJyQi8vyE+uqPPBKst/gilY/PVvlOUyQzeSNYjxpWJtUPfvpJVdBjCxo3d0xPMO4sSAOkbnVKkqmNi+ia0kBOGSMnvZSe8s9jbSgKmAfCiQtlJCyGXQ8l5dDc8W6LaqyLSxFIGh0nr/StBSdQLJJy5V/AAcubscRX5M1Y4oVj3gyDG41LGTkg543YQuiKHLXl2QgfcyRveSO2TJyZcxM+5uRXhI/hvnY9hGBR4yJoSp5H46KlX9z1jnY6B1WuZWXNplAUjYto6KyowXdRdBDPsMdCY6t2HabFDD/lZ2lcTivjMvI23KdMwWoTTdvwxX4VPgb/wPLGhEjPWGwS2lC8T39OFxE8WLIXr6l8l6nyn5sUCh3DO+k5o1ypZC8KHwIcKBdiUelL4XvJeXJW5Q86IIay3VgfGcRJgErNhowQtIhNN26kZDIeenZKJjuc4DOIV2RI11Kq9OURmfYwm4a5LvmDttCivFmH+kcZry+JCc3yxoQkfvOiTI2IX0qqY+2W3GckAuaOo9HElPTQEJoTDHYs6LGF4Fi833IaV7sxgSX5zHVay6d0g8+bxRrtT6Axw7WHDTL6SRtWJMVnGD6G5iGDDNlYC8za4geLduKzdJ9ASnpwSjfebiZl0hfux+drXMA9wqKkpNVSeV1LSej381oqQD4iFwuQvMMJlfvZaXg2+jQj/TyKiOCEkyMQ7sdCw4WR3cK8EYx3XbcSKufJWaAp2x3jmy+JLkbxfp18qse4/gQKBBYuRQcs9Zm/7FKhZ6dEvsSuK/G8zP0IzOIAI2SVKWyu/gVL5GSFXeguM9vAfTuOKcC8JR4E0i48pqUeiE5KQjH9C7yIXswf0HpdLTHgGJ5YV9dpSNaCE7Za8/pRZVxw0mCpJ6WPgWFyzEfgQTQ4ha4XN1oagHlwoVQm3G8LGauwCwu7N2NJIBnxg/SFhPtwkKO8i6ni7KrXrUnL50odd/DpGUyatEGV3WL6PypfHZLEeONKGt1qnbDtMS2ZfvBQzz+rW4MAKKZne7MoHEv3QMNedACHLuMSwq4YQmZczEjAHwuU4ISDTswfwOdcvQmHm8gRWw4LueOQ5ZDIFju0iJr02LzKf25S7X1nP4ozjbbla6bJmPIGj6kTkJOaVtbvyA6lsOhzNl5OvJRCaFz+oC2EmeFvbpYpAqVnrnOQbgSfnlH+hIOfLNsNnxMPjP4n5kCTubMgGSWeOwvy/NLk70vrQuvRuPhSOHGJPD8Bf8AhEIt4MMgfxP1N9G3oOAhrNHjve2ef3OvElTIDR+7DGfjGPJYpaFgirI2bSXXn+8VAGJ/NSvDhL18keeXMYSqTP4iCv7TFVCvLZyXQjrksH971q4aVSUnfzhsFOjhnzuneF/Q60rO8UbzX0HGdLp3UTZRH4hK2lz+Azi7Rw8Skemyn+0q4RrQT6w6LmJXlsyIl5AEp1gaZK2WUOU/OCjGLYZuL6VSU/XBCW9qCNbRie1YppUTOxVwZavq9WUs636EhTGdIpSs87CTL545BysrGCfOHWFQbV9Ky7rhPwNfDQDtKi0ib8iXRGS/do7/zM1nxwJH2xeBE3uv0+jEgk9NOypACs5hsMNHem3WIgcbFjKpvSmL6roEAHhPFGkEMsUNYo5pKpuHp0P4/Xwp7Dj1txqWMKvzcuOCGi/ehCRF5fgLyrUVEp8hRvDfXLUj8+EwTg+x/Yk6M8z4tG/PcWUDj7TqeK8ogA7NOs4XSVdLCwv14VqIdlky4OZnjgd99QsuDViZFmli5DdLCohdhmA9O2urkd1YIHYqIahairjNZeebonaE0l7LnWBtkwvkDOBfQG+o+haJu9v11gAk8mJa9gn6Vwi5LLV+OZpI37Rj9OWF3n0IxWrwf8kCPifdKWEHh58bFF1S3Jo3P8XJaJOEFPbYT+qmlsL60VlJoE3r5TjTAqjZnVf2qlFALickmtj805ExIynZjDacHJnBsqQC5n9dSAfIRuRab0MN9GnGrDxTd39glI06PacnI2HUeuvqSVqczR+IFWeiR5yfQSdZEnYYVwHrSz8BNlAfGklYc8LgJEHtYvM/JevDHnfE4efz+BRQQo3+9SXTOJEut+nKPWlk+q3KenBW/CfNCfGl9cLyYkVH71Lc2qNKXRyTZ+dx361X5TucwREQgszloAKb8xXXavCctlSQS12lTDmg8zIb7nPA0X9KSDdmbQVewcmtW8lQ4Imd3snSPCaPwPA7NXNyZxyLBcR2WpLpXbdZ4V50R4D4FTXv+IPTxBb0wO5Jw9EB0ErIcG1KnklZLgr98aWxATGEOzKIQVUpJijPvF47QazZkIE/S0xViRmvXYZwea8Pnuub1oyp2SNOrLmbk74gc1fruYZ2C/blxHP71fcCwLaHX2KZMYjwmJlCR5ydU1RZI/mrXpaUT+uFdv2pYkRRZSN6IzhLRUADeb/64o93OmbdE10yDde1aFF+V27JiPmahbNxMIkV6HQzDvqQl06/XfuQXUo9xIyXTFKI9vToF3ZdGZ53d2+AUvkdf2sIEQxO1gpN4veT/Ez6wGMkbGkZne3Hacvi5SeC3ddCbcSGjqjdmxOzuPmXKdCl3DIUsyWrhY7ZMpJgxIvLEE6b8HLvxDDkr6HEK6dghHGaXL//VEFX6CHxpS6ahJFo9UDghEwRKGwPTKHTYaTcuwaxevssUbwYDImk2LzoA3XpjQxxZErtNmRj5HpvHoX1KH5LTCFZlIyV/0JaiJmdOZ3Bo1PjK8lkpqPMHnDWA1L1oJ6RRhYct8X3442i2EDVb/NKo4GsLemxBoLNLqxSKfxYguWO2+t//4BK0sMdEgcD1K2/UlmKfVK+cORy8oi+MiSE6OIVibnljQiS2LLYZYMfgUeN6Cs2e4850h34ooqzpzckbRcNq/v210gRiEyD07JRynUZn2riM99j29T0IytNZUevf6MZaoCl5pC1S9lj7YFo+P8p1fSkUIMzhIH2NrznnyVlM5kew9gdmbfElsAnEvbDooJaHTTnUJU6FjOsp2a+oJvBY2mu0wxSELA+89atSEh4Z7cT6T98QfYoley31//2DVzxuNKXnzNnqM3/ZheJNy3XdJ02ZdDDlm4U3J3sd77aoyBG8r+J9aIY1rEAgqDxz3Q7tjRlYxFeH+225l4r36dd6zKEbejM6C+j5CZGqsXALDTu+DzbJuGYzeDUwg/uDTYFwH9YHZkut/FIfKHBa6kzJt38Ba0ztg2mhdZF0Rhpnzhx+n/uRuBScnOSxQcDQZQJQGORbsR3FXmTvEgXrfl5LBchH5JICZDAhMhvX+azIeShb8dimSKMiR2wZ7RvXsNh6szhcNaxICtWJutb3fvJp6WSLRn2PiRyDwzjk5o5j8aAkgQGI1BtzoTduAq3LkEFOZdiRp3E91mYJ5YnBecEJW1KMia80ruKQ11QyLWQoTgyoJeVV0mqpVbkjTrp7mwWS1vUUjJovjKn85yaVx4LuvW51SiYpoWFbutP1TUlZoIMTyBygFGnbm+2QBF1BpzV/UJO9zsCcmjdqC164YgeISOTJeyx8R76kXuiHHP8GqU9FB7Cg8nBLE3n+oC0b+tS3NgCPq7M8aAZlcrN4Uc5kcXCfRhdPKSX0E3bQaQ732NjwWXjRAEhDsSTdJlAsrKiaxz3QfS+kgN4C9+24inQjVJHfvRzKNC+/tMWUcMHSFlMoMPweoh3wFJEUxUlJ7rhjuKx9MC2hc64zWcEdB6adv4vmdeNGSohetQ+mxWBJIk/l1qzQwoKTDiLU9zhC/Qp6nCmVYIwXnP/LwDEePvgZsFCPdlhi9g3343Pn4ZWTOU4nig5Ykmgca7NEw587jmfadS4rpuHADD5L41pKOsDeLH6ek4zIUVueLwb28TONtVuSaWB9Z6UKzNoiwwwN2eLJqFudUsb1lPLcWfiVdYoUJobH8f4i1YoF64d3/apya1blPzeJLvcNFBIf3vUrfxzPK7urNRsyAoQg4aygFwV5zfqM4HFJjyp+aVQmRHWrU+LLCA07jQYmkBPGULYb00V2rAPTjqmcE1Sa6CnxMy5BPsKMC0pCSOBiIcOwvqKDODQGpoHSJmnK/Qgka7FDlgRM0hNTsQNNm1ib07Wnlyny/ITICoMTtvhvghN4P4VdloThGZcy8rn7kpa68/1imNi/dEy8U7ljtgprL4FPI0/ZLPDHnaknqW3MreC6xHWDBDTXwwlZB5kcXr0xI3p9whiKDuKZZYaI+yTWqPAxW3xZnAzG2iy17c12NfjNrTI1o2y1ajMaNzlPziKzY9xJLC/dYwogw5u1xKsluVQXM0KFIvHP/QhM1Xx2Cw9jHSrZa4lvLjCDyYc/bgl5zriG30sKXvWmDEIAO50AWj6XTDzna8wdt4W+WLoH011fGkVjtNMSYMTiEFD3SVOtqJ4X43XuuKZm6YYE8d4MbTRuJmGeTziexPwBSCNjbQ66l4UB1zoa4r1ZFPXS/DmCaWtg2oHXMHi4bLd5j1ctOIHfwyYkpxVswjFkMHYI/7t6U0Ym3MQSU6patxp+vEi3EzRJ/DyhHp8+ObdUgNzHa6kA+YhcLEC8D40K0Yr4Wd+iDZbTisX4zaKDlkiMuKC7zuKgTE2v66EkfCNa58nOGzGD3iwWEEEL9mBzKt+FzjuJJx4bo/ttb7ZLuBilPqHjtmR0sJvDTjbH7JEjOCC4T2py1pAtk57yXaZIedy3IflynUZnc7EevaDXvhfHqCkd3iwOdOU7TaHfLJZb+Bf0CP+os+m6b4OM5Uvi3zU2QBrmj+tpiA6lIyGHXSU5LB/FQvjhXb9IJFznstJt9Nh4/bljtqAbly9PSIgUaUD5gzpbYie625XbcGB1346rWDuAAR4T0gHjZhIL9hFbiCkFPVi8OSmi3peviVKEujVpSIO0xjt2yJJsCm8WGNz8QSzy7hOQ1YSPwQRJaR0PFXWrU0KcKd0Do3qszRI5EXGX7DaSulO/KiWZCPQiFB20xABc1gxpEzXTpS04THhJs5rSRd2oLSnPjbULqql0Rjr4RAl3vNsi/hm+fx6UlVJCTsp5clZQuLljmhDTlJQkbE7Fig44G23tOnT3OAHIG7EFU1zQY6uKV4ek+KMhnQdg5qNUbUbwWP6gLWn3DSuTsulGO52QROJkfUkncK56U0akbpTlhfvQhS46gEkNaVJMNycpy7icls6p586CeMQqtkNy+MT3i35lneKUkbS2SLdjDA/3ozj+2o8NvB89AfAlcXgj/MD1UFLlD+L9dLzboiq3QeJBAEXhYUuIX8YVFIQlrZZIYrhmUCqjlILWf58+XOn73pe05NDksUxBkPN79CeAAa590DErU89OeRHlmMwvCU7a6uUf5sl78dg4IDPPQikl6NzCLo0IT2oQgg5YK/zcuEwUfSlHXuWxTbmPil8aVcaNlBTc9M1RAshpo38BnxWnfpzQ5Mzh8GhcwjNOKag3i4kYm1YFPbrB1WGJgbl0D+5DHiR9adxTlVuzAF6cwrPtOo17rOyVYSGfGTcht6M8j887U9CZSaKUks+HhZT7dlyoiMX7NEr9nEP3My5B8ul7fE4kV960Dh7dmJFmEhsTsXZLpEs0ebvOZ2XNpd+wZK8luPTQcVuQv5zAM1E+1oYJgTdjiUy14Yv9Imn9zF92KfcJTPNi7Q6Zq3wnipzQsPZZzWLKQall/gDWg8qtWSnwFwMguJY2rEyKVJhrJRG2DGj1PT4nyoPcMZ2bcRKfjy+NphKn8FWb0dwoaUXTrXifJWnpnD7TR1d0AL5Oehtz5lCQrqycE9AIGxFE9FNqyNcYOYIpE1HWwQlbYAhcQ4kkZyBq5CgaBYwj4JrG6fafW/NLBch9vJYKkI/IxQLEMxN3phrXsYCVNZsyaueBMtrpYEvDfbag7sLHNMHiRkqtfeMIzNOmo7XmqL52bVqSeUmroVGw4tUh6cTkzFtCTQkdt+8ZIYf78d9SFrJ8OaY3xfst8VvwAMZDcN6I02mtfTCN9/DEHNJntbSHxC76ApgtwIuFEvWuRQfwfoJPz+BApsMUI0ewqRd2YfJRsz4jOlpSaEh+qtkAg5s3banVn+4BVvBB+DCqN2bu6e6XtDobcv0qdHartmSlG5U7hsU32okuT7jflo2xchvCx2LtKETEwKg7eDw4541iczOupyRIkCbc7LcfEOlVcAqvj5s9dfv5gyj+2CVjGGXdmrTo2INPzyCnQE+5jBspkWURw1vSasmGxVC2gh4n0NF1C2nfRG8al5ALU7bblO+ncmtWOmE+fWAI9+NQGDuEriOlhK7TjuejdI8pAAC+Jh4E3SfxvVfsMIULT3pNaAhhjcwQMa6kRXJSu1bnCWhaGJGrxqWMQBJo0JQQuqtpye/gPcyNk51l6umZVs8Dft1fDEhisussIA3h5yYhB7ueks4wE+49NszBroeSUpjye/Vm8Iy4zmbVL/7+0xJIxnyIws+Ni//Gv2CpLV/tQOjYXhwicuZx+A1O2YLNzHlyVpU1m+r5H4Zh3n56Bk2Px+bFT7T4Yu4PCy/jclryQLxpS/4+Uslihywp/ujNIAmrqWhaMM300XD6S38XZTGus1mV98w0DlfTttxjuWN4lv/mJ38mAWw0uAYnNFZZS9mWNyaU/4k5wa5SomVcwOGseqMjJaE5OH8ARRWLB9LsQsNYM13nkF9S34QDpVL6wKiTsst3YQrFdSEwjWcg0o014t/+3hB5SuFhTGXZZa7akpUpeHAKEwnmqHBd9S84XicWhsw0qXh1CFPbc/CZMVWdBRjzmQgPoB+meJ+eco6iYAkN25JZwgyR+qakFEI16zNY/7QJuaDHlnwMZpgUdmEt4SRHKSUek5r1GWVcSwlJj8nmlOTkjSAssXSPKYnjPDj7tIyYsqzAU7Mq9OyUqt6YkYmYL23JFJGfmy+N5yN3DM0xrqV5o/iZnHlMOBob4tJwIiSjZgPybXwpHb7abwthrWZ9RjxzLIaZ4E5aVmEXDvPGdTRVKNMq2QtlQazdUhPf+ow8c8ZFTJWqN2WkqGaTRIz3j+O+9qUclHL4GAoewgKiHZpIN+VADy5/UCM5RyzOKK9k5lft2rRTVH9uHEb9RfCbwsOWTL8KD0OGSrCKP+6oGBg8zAmq6zR+xmObstbxGS7ej2eeHrlYG147CWMV2zVy+siSB+R+XksFyEfkYgES6kyA7NFiKt9j85AmDDl5BKQFcbPxx3G4IF608DA6L8EJJ7uBHX/q+8t3mjJVCU5AS1v2yrC6/EGNBKdxExK6zbDT5Q5OoftReBjkk0g3gtd8j0NG40tZEsJkXMwo10MI5eJiVXgYHUOGy7lP4d/5Fyxhi5N+woNE5IhTgPDQVbLXkpyLwFOzIDu9MgyD87zlmAy11IJ6aJqDGbpnXEmL5IXj5fpV2BBJDSvfpTvKZ7Lix6EeuWJ7VjU2xCXUqqwZG4NxI4X07pdHVMOKpMhLhK7zxJyYQml+zB+0hfqSM2/J5kFSUWGXpVZ9uUd57ywobxb5FJFu29Hid+Nzqv3CIBDBl9My6o906wyER+NyAPIvOMZaSsUCs7akGjOEkQnYPFSU74R3hcZ1bj7GBaCAqcUu6NFae0sz53VXkLIZktLcp/CZMRmeJnx20qu2ZFXo2SnlS+LwxKK76IAl5mwWcgW9+v7ssgTN7LFwLwcndNL0o3GllFKu0zrxeLcpJnjvHeBymY9C6hWpVa4zKAI8pvbjHMHvDD49IynUxKtySlbYBb153jPTyriSFskL5VquM8h/CE45hzaPjWKPIX/cuGvXpSUzgK/PH7dU9eePYx14alYOO0//IIqpyWPz0sHn88fDbGAWh5ltb7bL7+VB5ZevogOYGvLzpDyUawy72gW96MYyC8OXRPhftEMnvp9A8Vn2yjAKKd3RJ+qUJtSK7fje3ScRTsjDSuU2EJAavtiv8gdxqKakL9aO+75mQ0bkVgRxRI4gablhZVJyE5gF4j6JtYB+Jk4qmERNSU1wEv+U7IXcdXljQkzgSin5Do1LGZG1uB+Jy+HKdR4a99BxnQlxNitBigSQkJrEjJ3QED5D1y2E3bnO4P1z8uw+gc+mcmtWGVfTMiEjwIBJ8/64Bd+BviddDyfkc2cBWrEdz07w6RkAMPY6wYWus1mRMnFNIGLYdTYr8qXghJ6MtVsiHfSl8XmV73IyeGrXpVXDyqT4CPwLelKqp/v8TliQEqlMfwL9HcbltEzGY+3YV0h4K96PZ4wFMHNriAlng4qwAW/GEpw7w/1YuHEiWd+URNOi3xbanPt2XIqtgl5bYACUonlMSwpGr6aGeWzIcCt2mGIkJyaYV7QDXhpvxpK8pNG/3oS/d8b5HjhFCz83qda+cUT54/heOeGJdKPY8iWxZgZmNGhDg0OYkl6+U0uKL2akgDr6VzvVyi/1qVg7CnV/wiksKEMsaYV0KzgFPwyJlJz2hYaxt1fswHs2LmHaylwuGtALevGaPRaAJSuq5nE2mMR9zjBPX3pJgnW/r6UC5CNysQCJNsdFWxnt1Icz3enIfw6G5Iod6NRHnp+AX2KfHuN/dloFnoLZWyYROrjMfVKb0rsduRVlQZEjttCrOA4PzGIx9yewmFNvTjQqg85cDyVFhsFFzh9HB2bx3++5swCW+gg05kUHtSnz0biYLJc3JkBm0tKa+qakTH0WJ6GTpS4m8i4dLjhvSbhd7jgOz2tePwrDomVKccTRe/4ANo3FHXtuvqQjccPxpdAVKjqAiQwnQTR5B6bRNWZYZPUmHD7Kd5mSscAwOE6VaHI1LmRUx7st8n3wUJf3zLQKTIMaxGlCYAYdWddDSfHciCH8sOXkWzwEKYT7BCRBNRsykvWRO+ZsyhU7wP2nTKLoTr5QpgAAIABJREFUAPTIHJkzUyVyFD9L4zMPqtS0164FaaW0xZT8lJK92DTYVWZ4Vu06h2DEooCvq3pTRrluId+G9CIaJjlpIfGsoEcH81mYkLhPQOJUscOUA2fFDhQWpXtMCTcr6LVFgsV08OqN2Gx5oGN6PDMhjJtJ1VQ0LVQW8u6p12bHrqTVkoOXcSWtli9PQGPe4Uifig5YEqxY+jK8TOzqRzudIpcYVaY2h4/h8yvoweSBiFAmOTMHQnw4FzJCDAtOOt4h4zKmQre+Vy7G0NwxHMyJHmbOxC9fBFeIbG4YBeblD2pUuA/PcOQo/i8N4NFOS1W8OgSi0IBDjXKdAUQjdFwDCr7YDz38tZRMTpitQz8bJWfF+/Gsk7DFMEfX2ax4G/wLWgKpMdaEPaz8Uh8OetoDR9Rn6R4gxQu7LMmo8DyKcLnAjAZ0JPA906BMuWVJqyUTI38cP0fKHIs5+p4I6CDpkCnbbCQwN4ihc0z8Jhr8w7t+QY6zIPbeWYD8Uxv+qzZnJfk9bwSf+QOFSEov221KpoRxMaOK9+NzZWgsJwL9722THBWu0fQEPFAwoVynTfGMMMAvd9wWg3JwAvvKyso53IOLuvhKKRRKehLAIodwj7xR+A4Ku9Ag8ScsNfWtDXj2tU+LYZPBSVtkWP3vbRN5MiWMueMI2y1rxn2UO45Ci0Su2gfxLIWPAZhCmbDHMiVYr2Sv3v/GHIjEiqp52SvZlY92Yj/1PBqX/JbQMAq3ih0oEAmRiHYANMB1gBknLLx5GdexDnpMS2TUNRtAz2p6rRff2SWALnLmQbek17FihykStKKDulHwwhggJin8LoIWKImmyZuBjaEhW7KCHiickLWvbg1k1fQksdkQa8dax7ynileHZN/glCM4if2sZgM8XhU7NLigHc9yyV5LKFj+uDbc65Dh4JSe2JzNqj9PLyWh389rqQD5iFwsQAr3xMVAzlwGeia46RvXUiK3Kn15BHKIbmcxDg3b0lUhX586Xh7uT393uQQH8oDGTS58zBbvQrgPh6+cOW0Y1EnANLUyaT10XCeZ6oNR1WYkh6/6cg+6i4/ElfsEFpzqjZCaFB7Gz+cPoIiKHcKikzeiA690R3vTVzqlY62UQorqUZjGPTYmE547CzDG3UwiYVZPh4hFbKyLQ0esN73yXdiEeVBlR9j3+By0p0fw37vOZ8U/wTE+zbMV27OYRqRxcOfBoXZdGptFGodJfk4NKyCrcZ2Hv4MHbma0MHmWnhGaysuaseD747pjfDYrWQo8wPuSOGj8v3/3Z0oppTx3FtSKmgUESaYtCVnLf24SfhjNjOf3xQKAXPtYmyVSO6ajN6xIomN3HSZoSs6CEzhw8lBNchoD8xob4OehmZ243uL9llpRNS9a+9CQ3lh1t5s5H6QysTvtS+O1eywckiPdtqT+0sjKQ5toyJ+Zvscjdfq7y5VSSpCqgVkc/Dhti3ZYYhwu6LHFWOwxsVnmzOFAYFzChC1/QEt/em1JbufGbFzKCLiBicxlu00VeX5CBaccClTpHlMyM8i7X0yZKzzs/E5fCgdz1zncg5QwUBbFCRN16U0l06rptV4VGsLB7sO7fvgDdAZKuE/nygzgsBbus+8hz/HyZp21xJfSeOZrKSkgil4cg+9HH8aCk05Xum51Svkem1c589pQfBKyzfAxR65lXEtJE4T+oZJW7YPQkIFwP75z42ZSwtIi3bYcco3rkEXWrU5JIKPrLEL28p+bBFFM++Aa6+KqZgMkpsUvjaq61SlV35QE4Uv7ONjlLTqI11O9Ec8s1zDq+GkcLuxCAVK22xTvQ6wdxnuGsXrTlhABg5NOBzlvBNJUBh1yYhTtQLPHdSuBcEdd/Bf04pkp3u9ki/AzCA1rMIOWkHa92yzrF4sO42oaB/kep8AJH4PE0LieAqmsxxaJLA/x1ZsyKvXtVTLxC8xiysPnu3wXJlwe25Sw1qIDuHcIynCdNtWqL/egOD4DiZ3rNGhnnNY3rMSkoWY9njFOMyk92vVWm0yIIkfwOVZsz4qvjentzNKhVDTaiXuweiPkY7F2TF1dp1FQLZbbGRfRFOH+ymRxFl5bvtohmSWcthk3k6qpbFYmILVr05LtxGyfwIytmspmpRB2nTbvybvhxUKak0NvFu+LQAL3KawDJXstyaFa/0a3TNvYHORExriCjCz3SS2zSztrCyWlBMsEZmzBEMfanCBCyh8Ds7aY+PMH8L9z5rEWhI7b0nCIdGPaxcZB+BiKbl8S30POHN4Hpd+u81kBvNDrFphBYcIModghS7nnlihY9/NaKkA+IpdIsDoSqqwZY2DjRkq6Bh7TkoNJ0UHHuFZ4WCe+PjYvRtmy3aboqcN96LjW/cWAHNBWVs6psmYQaaKd0OBzs63ajDCrxYnhkW50RD6861eNDXGhv3i1wW/4m5sd1v6Qs5HnzKObX77LlNAyGh6LDurFTRcf0Q5LOuyFXdDfRjucjTLa4YykQ89OiWGQExT3KYxmK18dUkUvjslBZXHYUfiY7oTtxgbmS0FTSoNv5VYYgtkdXVE1LxrVWDvGy8bFjFCTws9NKs+dhXuCv7xpFEOlLVg0Q0OOpM19Cn/GlGB2oPIHMRp3nUPQXeApbErGtRSkaXpKcvfvPoUD8KtDYkZl4RmYxibGQ2PxPmwW7lOmSBOony9r1lhD08lgqF2XdtLK9YTM9XBCuU/poEkts2CCvDejiybdVSvfZYphkEVp7YNptSo8rvJGnA2LMg9fyhK5Vd4o/CfsjDesSKrifZaaf38tDuTjTtZJYReei+y3H1Ae2xSZiutWAt1H3YWltt+bxutrbHBQj4EZ3C9KKdXxbovyZizV/PaB/5+993yuqzz3hv+B9w/glGet3ffWbtLWVm9WsWxsY2PjjiRbklUsq/detrT7Km64Y2xjwBRTDAECCSSQSkIaCck5OUlIAs/xvDNn5v3wzDxzvniu98NvXdcyhy/55hnPvmeYECHtcq+7XOVXyPF8iqr3aZK0MeSGoXaBBVyi5e/OUfU+KKGx8g6r5DARM9aHtdXcCOM77ysJaqlLosN0JUf135kSk8P6HZhPXiv8XNmHwnEK66/mCShMBRZsA0CGODieS6Faa0mh8ueN9RoixMBVeA6ca/ZCVWjiV/up4tuzIonr1LHnik98kwOintXEhC/WawhUonq/Jt0v9geK9aLTwyaZlYd04eWsfLYLkIsj6Bzcu+sRVTr/EuavaA5rbs8Pj6PLmDAFClk8YHWmLKK6d93iFFnKb+rNNKk3MuINEliwScvqeU0w9AxDYT8FNorkPeM0gJ1n40vHaeyB+zsQ7Nx9766HiIiiQxa86UaGqt+bgQrRlCmeObE+SwHJgsR4kgYU0qZNaq5P0ldfPgLOxsW8eNGUt+vChQvOmEKCdpy2lPHOQDAiOog9tuX/OSoBed2uvHRKWYa1eABSxyxiolzLAkZ1DgHmhX9rEBNN9QyKM+zFw4kPm+EqV3LkzmG/lndgvhh+x5+fkxrHc+g4ExE1bobcbLwLyRg/9/C4SW0/7ZaiCXuleF9JkHI9A6GTi3mB5fzx74+Q9vkWKFH1W0qNlvkr+1qxISKLsHD3g3l/7OrOio0sG6zeTFPR66sQfrC4dHW7ADNl6VzvKwnxrOIziHlrApNeN0XMhBWxqvdr0n2NDppCHGfVMR7xLjwrPruUC3nATG+mKTiLde9JGgLJq9+RE3EZ/xJ+j+9q/xK8SJTrgCDW7cpLZ5QLBezGzopevjWT0r/bJvy2yAi6Wq48oJ1uK1Hh/ayesaWky44Y4qMU68E/jpN4Jv4lW7GuvAMFA/YMUc9qIirCvFE20CyaswU6nIlCAvIgRyEBeUgGJyCe2bRUX9XzGrWWrpJ6DtU7/6trkOI7gOqh4/kUlfRb7sHWRV55yJI8tZQyGE/LSiwVbTZEprwDhy9X1u6/GJl0Xr8jJ5J9TkOXgI4vH66OcTLgyuEAqjpgBekWTEh5Okf37nqghmQ533IiwvjjqgOaYPZjfbgwOj/pRCA/bR/I/lfXyKXhwmf4meOU/jVyrFPH5VTzhEbbPhqG/KdFzOULMToMjxWBQ1l+CEyKV5/SgKOdw+vwBadcyVFLXRJ/ey0rHYgtJcvCk6nfkRNip3oe0AZW3mLIm28NVdj670xRtaWY1NyYotCdZQmyGPfLlfDAgnVR9NoSvxVtugSVJccRNEaHMAfsucDyx94N4Mijby4JdrnqICrwjtM6DXzaJkEYvzdXi1lKON5lO8TH+gxxs67fDiMqNibkyr0rj9/nteNbQ4ARGbFgfGctQ8EXUiJTzF2gijZd4HqOk6g+MzSPq42ssFV1UBeIAnfFWP1IPYP/Fus1JKEhIggonNQl+fCuW92LZZNaajdox8dDkNK1+FShO8vku52AE/wqgq/iAUOSynt3PeK1MPvrJwC3uAi4DnOp6reDcxTrM4TPxdAQTqYr2nSBwzlO6RJM+1ZNgfYx14pVoVjBhlVs3Bmrim51pFyaLcvJoghOAwlHc2NKOl/M3eI5un+U9Bti2sYJEEsoxzsR0CnXsuj03QSkkhWlGE7F0p+1u9ENjfUZQp5ncQ3fminJDgcpoSlTPDQYAhrrMQSWo57VpFocnLV8TcZtmBHLgtdvx+/y+cGiD03Naap5AsnJ4Z/0iOx1dNgmKjtO6VKlZ4Us560kCLlWB6Th0awEgU1NUEgq70BxiKvW7IlSPABORnNjSrxHYr04e9gg1pU3xFWe51+5BG5dvBPJcv0OeI9wEUg9jzuC/UpiPZbR51FDAsXiExDCYBNa7kYplxDgBmdNUVYKTQLux/PlSVqSr1eztu+DxQlwnNJlTkr6EcQyN27bR8Migc2wyMpDNjSK4Wr+JVOUBT1JCxpkwf0YLszGfZyoR0ZskQzlQp58CcCEIqM29DOwiCTIu2F1yyz5ej47Gzejgx7rtWBzN9GNcZq6dLIY+sXVfjZoVJ9NC5ysos3yKXolIXuuaA6wYlbg8q6jeMd3AEMuWRqbByc+X335iL1+b2TATZnHPnflUaSK9Rpi8ue6lUTB5nJO+HWetA0hdpqIFTxpS8TAUhZkQ1D/Mjpd7LVSeVgXw8zmhpQYPVZ8e5aUC3koa44gqaneB+SAL4FzwZU3xHfEnbXhee6cIcgK9gFj8QflmazAaf3LtoqW4znEGSX9hsRNhQTkwYxCAvKQDN5Ika6USO0x3rt6H0zbmEzG7dDIKCAWLHfrfSUBAp11yUdGTJHgjfXhYOKK5bN/rBSstieJKjIHhCyT50laMJ1rIGS7c4YQK8s7YDCnXAA+1nFSF74Gw1MYjx6cRdWlaB6HCHtdeDcADfK/uiY45bKjlqzkd6ZIPatJwuRLfJ0Dws6uLBn5wV98wtmIDuH1mYPC0sIshdnw3UmpvrTUbIiaFx/A3KIuen1V3IO5hc6HPssR+tYshSMLAhQdsn/GgaknjcAnsIhLteoAvEIYzsIGXI6Tupjz1e2C9LHyDKpCvgSqqo0tGejPW1wE9odx51D5ZQ4IQ0YYFsEV5JY6OCxHRvEcmF8RWDTlPbhaqFzOAZ5kmfvF+gyRieQLlbsnnLgypI3doAOWZHTVQVuOON6JamPtnrzINrLaGSuKMffEv2xLVzI8hV3hGWsdGcUeYX4FB7j8GTnpCU3ZuvTsRVB2BMlC1QHIVrMCE1+m6llNTK98CfyjPqVJtyM8jjVduzsvHb6qA5pU8hnGwPyqiieRCFUe1oVnw5A49hxhnH50CN+HiaK1uwGZYbO92t2AhijXshKosqoPY7cbvjspARyLVXAniJ9VeTvWHYtIxDvRnbq/CssjMoq/Le/A91DPwIzSt2Z3J9SnNKr49qxIZioX80IcdpwGZ4ED4/rvTJH3lQQgjVZxJTqMJLviSVR2b/1H3IZpWdAcPqMGPm1DEHorSdX7kDwoz2SRQL22Cs+XDnwuXmMMq2nYhjUocBHLRK16HwQBlGsQTAi8tiqKQpzccZe6vB1FmXinTUIX/wILyseqQbEe24SQhR8Cr6HAxAE4+8t4UtZZbcFJGbbS1GyZws2YIlBS/NYiOtbWOc5JWHTY5gTFeuxAWbmQp9aKBAWncX/U7cpTc31SupEsqczyr5u2ZiH/fQmJHKsYVh7CXmXjvpLj2BONLRlJJpUrOekOsAJVzROanFHMUWGPKYa0+W4nZA8yAoCr4+E7y5AFXzKp85NO6ex4UjZpPzps8QTOYk2woR13dJymLl1CdwbfSbkKEQiGtzmeT1Gsx5LRHbLvq7IjKNZ4UoBC1T+Gwotvze46+FcQwDfXQ1ZauZ6RZNaTxpnKkGpPEn/bXJ+En0w39hWP5g/HsfbGTap+bwbw5Ms58VFhwQHuCLEQDUOJXbeSUNp7JYHi3AspW5HsdkLuNoalhSdMkal2mrokLvy5S7stb69BW3rceStJjudTMJS8YHfcuOjGsQErd7ozmMvyd+fAFzyK585w3eK3Fqm5ISVcWIZ79fy8Qzg50WGT/r8/ugoJyAMchQTkIRmcgNRsTlDPzzvg/jlgCLazaN5qCT+bJqehS6WV4QKVh0EmLm/Xbf35nG2E5l3HJVT69oLAlUqOG2IOKJWIWdvcybuOw4Y7Hd4NVJtifYZIgPIhziZv6nnbTVm5iKpI4+aMYKL5kqzerwm5NjhryeIOWRXOpO1+GpxBlYT1/onoawaI0UFTggd31pDWLgeRLOtb3qGLTwaTNasOaOJ2zmS46DBI8gyBCo+jGsqEbHZPHvvlAZDzBwy5zF0WsTM8joCdZVqr9+HyZhdXrn4rF0DILDtq4409L6+LFCprvTMxnjX7y44YovYTfXMJAdelvLiQE6FSrVzMC2TEqeNS485YYAGXoeMk5Ia508CXa81ejUrfXpCAhTkj0SF8z02tGRA3x3ChKBfy6BIt2+RQvhidhi6KZup5m2dR3qGLMgw/s8Brq5JEFs3bCmDRQbsSygmgdx0JNpOilesZIWA7TiMxdVvBHPMHWKLa/+oaEcGIMDpsOy27c/guvlVTku7a96eFSMtKY8p1aPI3NaXF3To6jOSD39ulIbnhynbt+9MUnkBVtuyI7eGgPqXJBevOGoIVZ0ECdwZ7h4M+5ZmsGHOV9Fvynt220zUrVDlO6tIlir8zj0T5rEa1e/K0JbYiFWj1nCafpaJNF9MwT/qbECyWyGToJ/McuNviOGUlor3A53vS2GtFc6YoPLlfWhejMvZziPUZElgz2Z7PlvAEiOPFJ7A+3RlDXOhZAtS3hsSjtNugI590wRHewo2zeVvDo1kkF9tyIjbgu50g5SIgNcKHWrfFCCoP6dKpZCUyllp1nNRFpc2dsyWwWZK4/9N28ejY+fEg9syQ7X/CPKE//f0R6a74V0zpfHAgzXww5XJOKvUMjfEv29LfytM56UxXHgbkzZW3AvrV+wjZC0iGi99alG4CC3Von28B7+8KlLTKjhoSgHLiy7AqTxrnMqtX+Vatc9nC/rOUeXjCgqSd1cR9nAiGslUHAANUrmXle6vnNGr8YAJn3VGsKRbv8K7je1bvB4TWdzshEt4sxxu+s0y1e/Kyf1hQpPIwziL1nCb3B5ubhsfwHFlYgbsxDD/mteY4bft8MJ/SnbM7+ZyIC0RsxVYzc5zUxbjTl7CllkOTONuKXl8lIqKavdrXfK+qDiKZbG5ICWeEBQ7Ys4YFMdQbGVEQ4yJccMYyVLWkzXmuanfb3LXQlCX734vPxPLtVQdwXihXs+Il4zR1gXZyh7y02xA0ADvLs2dS/Q4on7Fy5aatWfCCngZ0LzoEDysWGOG1VHLckP3AKIzAIkjtDMMqdEAe7CgkIA/J4I3knksDI5+zqwIcTFYeRiXYv2IFTZ24jJvrk6J/X96ui242kxLD4whimhtTovvPBFtWUWHzMzYNZA4AS5ny5dDUZEmizlgk3Cs5UZhi0zYO6Jy3kkiAlm1lIVceh8jW749IAONLIMiteBIHKbsRuywSt3oO0pI8vOuoBrM/RXQY1SNOOtxZQ7T4IyMIFsX5e9KGP1Tv1+j9v/gp+MaKkF65alN6DIc0J1TRQQQexQOGdBSqDqKS5l23jbJK314QMzNXDtUz9lfhg5T5L64cKreO09BaV8+gzc3Osly1jg7Z8ByBI1jqLI6TuggI+FYRkPMcMaTm4I97xen33l0PEoFzmgTYnMTGeg2pcrIzrfJMVjTq3VlDeAz+JcxndBAJFs+p61aSavbCmZ01/BmqEJoyqbV8DVLQh3XpILHxmEjn3ieR2bg5Ax7B2wtS/eXq/eyvn6DiAVx2Tc1pUi7lxdzQncHlx2RVru7WPKGJkgoRybz6VnEJxt+Zp6qDSMAYQqhcRvfHnbUNvliWNDSFS73mCU24OMwH2NQKhSaGJsV6ETirT2mAdln70r9s2pAeK3hM/PYxCk7j+xfNWfKnFsSlqTktXCnW/OdqMu8lrvwqF/L0/l/8glm/d9cDk9KnNPLdTtDOjwcFxsPP3HEa6yne+c0EJDxmCkQlsIh97klhHf/kryo5TqEyrFxCch3vxL8zPI9hQP4VwFFYmCLWa3kXjFl+Mk+j08XGm8zJ8K3axGRX3pDOYWk3qtHqeXBRWJZauZCH3860ncRy90W5lhUJ5aamtHRJKw8hUfcl8FyqDloE4Vl0lGI9WE9s+lizVyPnrSS5s5gvx0nMAfvLKNdQWXflAakrf3fONm+dwf9yUBfvNET5JziNPXnvrkfeh7t6bBbLASV3pR0n8VkZ1uJ/dY0Cr61KZ4n5QOpTmjzDWA8SiNrdeXK+kJKORmTEUrSy1n3VAU2gSfXbc9Jx2NSaEU+gkn4E6e6X1pHw3oDCHsNOB39xmOp2IQGpfwyJBEsrxzutxDdlOZlb/izc+eL7reHRLKnnkEiyUzx/Bw5+Wc2Jz/3mhhQpT+ekmOPOgiPnS2AfRwdtJUFO0CoPo8vnS2CN1e7JC1yY4aTBaVN8qKKDOF8cp3XpKnLhjU0Lq/dpkvCwASmbt7KZH5uw8mDyuO92QgQvGHYWnsB5UL89J5DVzk86wcuzknj2EmMzXeVyTgRQeN5YIp5lfbmg4s4g+WQkBotPsAlizRNAZ0RG8e+t5WukntW+pkTGRUTmtrDYBZuvlnYb0p3m87BxM+YgOI09yJDp0KRVILTO7UIC8mBHIQF5SAZvpNKDSVF3Uc9q5H5xgyKjJk39ep/gcp0GSIH37nqo/rGceHuwVB4fiKVvL6B6ahF52UCOkw/2e/BuIDnh9n+sz8ZYVx5CVS46iIMyNGXKwd/UjMqm04SaTfV+XMQSFN1ZFsdTrkyXHEflgy8H5ekcuW4lqaINgbR/2RSXU8a6cxufR9kRQ6pTbJy3qTWDw9XC/ha9vko9P+8Q6VNPGlAKp4GEgJVgKg+hIsXqRSuf7ZID2XESrWXuCLGpnScJzHT1fiQnDJ9xnNbF4TvWY/lBvLQuSlWxPhzIm7ZmAZnbwIV6v+Y96+arN+Abwt4KTh0GT4EFPJfWslXx92h4NAvVMUtZi4ikG6A8YzvPMk5cPasJWZU9G1y3ktRSs0FlRwy5tJ0vpETelbX9I6OoEPuXbbnNijZdZFfZaKy5PinqRcpFyMtWHraCB0tmVrkIBZr7iaG+NVS7OcEuO4oALNZjKY1Z5G9XHhcnY+3ZubloHspwHAjFuwxxfy7px+fxryBYIyLhknBw41u1IAJZVGeL5oEZZ8Uvfq6bWmG45l233Z9ZzpZ5EJta8QwaN2egW//iBkzd+gwJxud/s8fuPN5Zlu5e5WGQ/x2nQahu2AZdfsboNzWn4eJ81HY73/HxkATg3HlTn4K6WsM2VKLv3fXImmMn9Pnf7KE9PzxOA5+2kdPU6fU/ReG5kvtmAuJJIRhxGkiaKw9hn0RGTDGPY2lddrWu24lqNBsxlnxrQaqbTlMXPw5WM+Pq+dSv91HtbshHh+8sizljrAddFLel0saO1Szf2fbTbnKcxN5gHgF7zlQe0kXJp/4xBGJ7f9RP/iVTcO/KBeDem5rTFB7Da1YdtAzUxkyB0XHnUs7OW0kiIoEAsigEd2LdWbv76FvF+ufnwPCXojnLkM4S9eCqOncJYj0GbSmGeppLM6QowpXo6BCSA17L6nmNzvyhSeCj9Y/h7PYvQ0UwMopEkOW0W+qS6EKcAQ+JVauC06Yo2bGppiuHwL6kH51YNmPlzhV319wvraNLa6nYnfvDJiIiunfXQw3fnQQM5515Us9rIJ5bPKnW742KoIpyNStFjoo23H8sKsAdyZq9WPvqOSRbLF3N8CFXzoKJTdhJJxelWDCBzXZZ5MSlWepOVrcpsIi7cFMrEit+VgzLE27YJZskz7KzyqU8im5t6AwFZ0yBTfpfXROzU/bF4NG4OSMO66xIyJ5EgUWcV+pN+IeVHLe6RJZHieOkLv5OyiUk4yxcod5Mixw934llRyyY7/UMeV9JULzTECSGO2tDtDhOYIhWcBZcEN+qKbLfrMjJ888S2AwhU8/jbAosWBDdNXsPV7QhieX1zf4kfOd70rhPChCsBzsKCchDMjgBCfekhHTlOIUAlB2cXbeS1LAtR1O/3iek5vrt8F9QrlrSqAsIvlldirkKDKMp7wB8q3YP8KG+BC7nmr2a+Glw653brcrFvFTKWYnIdzshWujsn8DO20zk5WCZOSkMEeLqBlfhWK+8eMAQoyLGpzORnuENRCSv587i59Fhm0SoXM1Ka71o3uY1+Jdxgdbs1cjxPBSRiuYQ7LG5E0sMq+fwO+x0W3YEB7x33VLJWbSrkUzSY1J22VEEmtwNqjqoSwLG8LCi11fFGbd4AFU/5l5U79eopXYDh/T1DMjoJwCXcGdx6G8NzpN6M00Dn7bR4z8YoIM/7qV7dz306p9KqP/TdiKCDO+9ux6oLb26Rjs+HqKPv3DRZ3/7F7hpn9HlAghSP2bbAAAgAElEQVRN2UaItbvzouDiyiMIZw35eKchMBhWbWrcnBG+jyeJi4rdiivaEESHx23PiPAYYGYs1epfRpXNcUqXrod6I0MuzRA8fmgK88qyt8UDhnThNm3NUsO2HFXvQzBS3o4Atv4xBMPsIny/n0xkBOuYiABVsZRwmK/BksehKQQ+nKyxQZgniSTal8D6KT6B5DY4jb9zGkjat8RWpJrKcAy3xTdh6VPHSV04PQ3bbIWx6KDtAs7chPJ2iC2wWlZoEmdE5SFdiLROAzAP5j2waAF3Bz0pdCZdt5LkfnFDoBD37nqo6PVVev6P5aQ+mybt8y3U+UnnN86p4DSCpsd/MCAQy+ibS/BXGcF7safCf331zyKt6s4a9LO/KmT8fjP5l631MI3kmTtg7P9RdhTBxaZWcNe4y8n+MCwWwYZwvgQCxJq9tts3K9qxx0flYcCRWuqSVHoMgbtLM+i/vvpnaqndgMPy6yhQqDfTVLsHHWcOopjwXHwCa7y0G0lJ/Q6svbqdeYGJckeI/Q0aP5jAGWAZTvrWLFjmNZzZ4XHwJmqeQAGnaB5wPeY1sHpQrBfPNziLNcUFCPUs9lHZUUPgee4c5i34xgoVv7UoHg0sI81cIDbZq91t8cgsvlXNEygM1DyB/edbtRO00JQpXivcfWFisP/VNfK8vE5Lnz1ORa+v0p4fHiflWhbY/Yt5qn5vRookF/6tgRo/mCDf7QQ1fHeSnLeSVPzWosA37y98uPKG8L1ivQZtiSyJ+hIX4Ji/5VtDgaHodXCA+NxSLuUhFW+t2/CE7f7OamdNTeikclGo6oBGW8OLkJN9d048ppiT0VyftM9PK5Hmc4z9S8Lj5tdEEBgV0NSURsfqZprUs0ie4p2G7Gke7ElT8q0FcpxC0lF8wqA9PzxOrRUJqvj2LKC4V3LkW7XEXMYtA0nL00O5Cl4SnzXuFyF/Hh7DHuRuBPM0WBjCnTNEpl+5moVDulV8UM9qYkzKqo/V+zXwNy2ejW/N4kIdt/2jmLtXNI/5c5q6FDpDd5bJ/dK62BAol3PU2JKhx38wQO6X1qnxgwn61d/+lb768hHa/OFYoQPygEchAXlIBm+kUG9a9OADC6YQQ7cUL5HjlE7NH46T46QuUAo2eGPOBHtRsMwrt14jI+hchKYQABbNm1K5CE3hcmGsun/JrghxcO9bw4HtupWUSjPDVrhDcj9en4M9/xKqSOqzaQmUPElDYDvMOWDjMaeJS18CvmO2XB+P8g7gXnd8PCS64CX9hih3cfWXSZH+JVOCFMcpXUhyrrytfx6atCQLn0JwXnbUkMCRK+zcui8eMKSi6F+xKlCWyWJjS4Ycz6XoyCddguMPTdqt7OC0rTLjziH4i4zi4A1OY36lypOy/+EEgaFpjCt3v7ROzR+OC1zO/dI6ERHF35mnX/3tX2nls12k3shQ8I0Vcr6Qoh994aQvvnwEMADLjZnJfux0zqZ5DFlhUn9gAZdVxZO68DBclioNJ6jspSFBs0VW5kAn8NqqELXZ+Iydmnnd+pfsC76lZkP8LTgBYWlnX8IU6I77xQ04nN9KikKUdx3BMbu9l3dgfTI8jojQEeu1TQwjo0iqXDlD1JycJvgxkRFUKsuOItEJLJoCSXGcxms7DYurYSnGsGMwq76wxKcvgbmpOgAuVfOH44AQWdA4lrplGAR3h2J96OgUDxiSYDBvIjoMY83GzTCpZGWsWJ8hMEn12bRwTphLsPdH/ThPzmq0/8d9dO4Pmyj+zvzXvAh4VB7SRV6VzcfiXRA74M6K+6V1atiWE9GFysMI7hg6EprCz5lHUHrMkG6fK28IrMiTtqSkT+ni7xKasuWE678zRWVHDPrD3/9JvFTYe4LdyBkbz34njucskusJQ6BonPzfzzVSrmUpfGdZHLCZ9BoeM6WjWbNXEwPShu9Oint1eAzPk7trtXvykrAz1Cg6ZJmhWoo/LqvTynKqbJ4XmsT5Hu+yDUzZG6HykC7Kak4dpqvBaXyeqgOAxqg3IG3su52g0mOQYK86qEN63ZKideVsLiBj+Ms7sL9CUyD+cheyaN4UzhHzEJVLeYoO4+/KjgIaqT6bpiOfdNG2j4bJu27SF18+Qo7nU3Tvrod+9IWTiIhO/b6F/vT3R2jiV/sloWWfk6bmtJDIo28uQWlxFnPJKmcM2VEu56RrUTQHUj4rL3mSePaO51PkW0MQf39Xf0vJMn3vCw85Ttprjrsf8S7cn1yMqtkLqBGLuUhXvx+8Me72+ZdwHno3YJ5Y2g3p9IM/7qW6XehMxDsNUYsKvLYqiRxzl2K9dvcxPGb5GLEs/6R9H1W/NyPJguP5FBXNmXIusHpXcNbu0jNJnjty0UEU3Djm8CThVxO+swz1rL3olqtnNdq0NSsu8U1NaTGCjQ6ZAjNjI0T22ArO2N384AzOV/Zj4XuTzSr9Kyi6uV/coOIBcO/cGXyXHR8PUev3RgE7fi5FOz8epMhIAYL1oEchAXlIBm+kfz1nuZmetLoAlsKJL4GDqfIQgpYtJctoQx5C4BScsUi9L6TQibCgCp6UIRcLq+bwZdFSswHn2uO4OKr3aaKKU3zCEHiPO4eLkrGYyqU8Xf33GoFQ8QUZmrQUSizVktrd6A6o5zRJaMJjqDqxmSJf+NX7NdFDZ4KfO2tIazoyagdDFU+iY8Bu6C4NF0J5O7o1RXMIPnxrwHm7X1qXJKz4BAKJ/k/bhcQcnLW8KTKGtNrVm2lSriMQ5WocdzIqD+MCD09YxHzLQ6B6Hzgp7hwgI8oFkJ4bN8PYjCFF7K/BqmPujC3N6zR1gWspF/OiAqVcsj0BGCu99fsj5LqVpD/9/REJEv725SNERLiwruRo+JeHaOmzx8nxfIr++z+dpH2+hSq+PUuNH0wA5347QSX9gJGEJpFAFL2+SjV7EcC4X9wQbXhfwnJCHrZb9ky4j4yY9KMvnJL0ubNYu8wdCc7aMLa6XXl0iqzEZFMrWv5MQuTKPxu8McafpamZ3L3VNwP4xcW88KGKBxBshKYsErwFD2ROR8O2nPCjiEg6GrFekIZDkwhMnDpgJUXztlO78nSOHM+noMe/Ch4TY6abG1CdLR4AVI4Dl6I5PC+u1LKkb3TYFG8a5VpW4HDl7SgyhO4sAw/+LPgLjzrGJdhiWds3/xym6BCgkI7TugQm7gzWn+tWUhJ6VnSqOohKcazPEDlvVw5KU9E3l2jPD4+Du3A9Qzs/HvzGOcVQJ7cFqSo7YghhNziDNex4PgUYieUBwp83OmhKklvx7Vmq3oduQGQUZHBOMpm75ltFBb5+O6CPLs2g9O+2ifdN8VuL5DilCzTvzT+HKTyGvR3vRAKqnkOCxwpsgUWcgyxpW/8YKrkNj2ZFhSuwYNJnf/sXqVyzN4s7BwO0ijYkmfXbAWmM9VrQ1EchnaretLlK7pfWRRXMaaIbwt0+Dt6bG1LkyuO8bC2H1LpyHTKr1fs02vjtDlJvZKhxc0a8JhhOF5rEWa6eR+Gkep8GPtKISYnfPmYnLhZBnwnrte9PU8O2nIhU+FYR/HHAHn1zSaCYDCFjPgEr4YXHre7xpCkS8OXtlkjCnWWKvzNPmz8co5XPdtHKZ7so+/lW8ry8TvXfmSIioo+/cNGeHx6nV/9UQuXvzsENftiULld0CIWKzR+OCaE8sAjoWMWTusCDmBfjSRvSIeR15XguJfzIqvdmoGb2pC5ddt+aKXyGzdXrIm3N3KWSfls63HESCd/9kOQtsRVJeovmTSl4sbS5eiMDXuAQ5qhoHmcocyrYKby8A8+B94Xjedt4lxMH5UJefI6Y0M5qaNyJLX5rEYU+K9ltbkhJYsGw61ifIQlddBBwNFZFZJh0vBNnERtA+lfuMx+07kjvhm2mWXVQF0I53weOU7oUl0r6cV+zmIpyPUPKM1kRWlAu5Um5lBdyPZsoM79SPa+R61YSEujPpukPf/8n2v/jvkIC8oBHIQF5SAZvJNdKSvDRgQXL4dmqpDotwjJLAhbNoeLCZli+VVMq5o7nU8IJUK4A/17abbvqsv46V3uYOFyzF1jPqoO66JKzdGRjC8iftbvzlP7dNlQwX16HPreFI46MIinxrpvicsoJBhP2OHFw5wz64C8+cYWOjEKulyUKuQsUWDBFO56IyPFciqoOAKrE0JrwuCkmicUDqJYybIATA5Zj7P7ZUXEBLx5AIMV4/uIBQzxJik8A4saEUe8GqmDRYVPckIOz+F3GrzK0zJOG8hC7Ipd249Av7QbsQ3kmSy4NwXf9dui0R4dNCZacpi6qWey/wjADluu98G8NdO+uh5Y+e5zcL63TvbseevwHA0REkGd+bZX8r64Bb3szTe4skiWupLlz0L0vmsd8NzemgFs/jItWPacJ34PNpVhKkuFUdbvywqHg6m7pMSvRvAYPC658Vx3QRDa585NO8bLh9431WMZVFiGbJR9Dk6YQeh2ndVHCYTd17l4wqZ4lJasO6tRSu0Hqs2khRKs3MhKsEaGbdn9y6budQDdh0JbCLpq3IGjvzJNyIS8JOkPT3Dn4y7AgQ3Da/BqvgxMw9vfhbhCruLGhIRszNmzLCYyE4TKOk8BEV7TpAn2r2wlyt3oGHRr1ZpqCMyYd+aQLDuyXkeyxialyBQmUd902PSvtNmjps8ep+r0ZXO5nUZENvrFC3T87+o1zKjyOYEB5GlK/pd2GGKMGFkxJ8twZQ5Isx3OoPns3DDFKLe9AoBqaQgLp3UAXhGVuy45gjtjDg8+seKdB3/vCI5Aa9neIdxmidORfxp73L9kO3p4k/EqC0wik6nbCXZuDaq74Ol9ICTy1tXRV1OaUyznh1zU8iuKJ5+V1gU+yvw8RCV+IFZJY/rv2/Wl4laTw78FpBMjcjVbPgE/DClXKJaiVBWfss8lpYK2z8SVD9zwpCIK48vh80UEEgFypZ25WcNoUXoJyOUf1j+Vo8BeHIfH8TJbqH4MxXtkRBOzqUyBVq+c16VKWduMZKlezuCPG7E5gyXEUTho/mCD1RoYGf3GYfAkkS+nfbaPQJEwOiYiUZ7Iwt/1wnLZ9NAxS/btz4N7pOC9iPYZAQsuOWKIGFqeMO6ZF80gGanfjfHBpeBbFJwwpxrFMuXIFBSf1vCadcu5ys9JhrM+g/T/uw/n/nSlynNKpYVtO3L75vWv2AvoWWMBzZN4RS9d7100xz2ORCO86PlfVQZ32/qgfxrUWpMm/YsrZFeuzOyBcGGJiPiddt/4jjgLMVchO1+2C27t3wzpHb4CbxuRxx3MpqmjTxdOIRVZYQXJTK6DRjtO2Ilz99hzV7USSHJy1uBqrKIywiAH73nBCxd2RyChktlnOnGMZ5m2VHUEB0nESe7Z2t6VSeAUwMRat4buZOXT37nqwl55NFxKQBzwKCchDMngjqamkEMOqDuLArH8sJwF54wcTtPX7I+R9JSEkz9CUKZwRrhLFehAYccWytNugltoNgXwwxCk6ZEq1zbdmikJM8QlD4F3xTkPUtCoP6VKljA6bIr3JlV3/EnCdrO/uX7Gxx6xQxM69sV58vtbSVZHkVZ7OiZpR2RFDjAzvlwQt7wBB0reKwDTeBeKpJwmIAQcEnrQhMAinoUvl2mmiysxQHg7+xUl7wZYtdJq6GLbF35kHhnXQ4pacQOWLIT9Mit320bC4nLNUYecnnba6zhpej1VwKtrQuWpuTAlRluU6ucIV70L1bNPWLI398gCVHbE6W6+ukeOUZSD41iKpT4Gsv/HbHaRcylPPzzuo9v1pGvi0jX7x1/8lnBDlck7kGf2vrpH7xQ2RRm6p2SD1RkYUgpgLUXUACUlFG/DVQri2Es6Sby1IRZhVVjgIKz6BTpVyKS+kc5dmyGuwbj/zFNRz6MQoV7NielW3C7KqrObC+P66nRaZ9wqI1iX9SByVC3mq3QNsu/OFlCT1sR4EN0T0NRNBVuNhMjnL6kaHsYZCk1bwcADzxL4CvjVTOg3BGTsZK+02BB5XdRDBYHAGVf3iAQScHOBWHUQg7cpZyla3krJ3S/oNEWqI9eC7qOc0Um+im+nSsM7Z1JDVcVx5BCH+ZZvsqj6lCWGaFby8ryRo7JcHKHRnmTZ/OEYDn7ZBFvvNpW+cU56U1QmzYHjl7TrVvj9NvlXA0MrfnaO6Xaia1m9H4ssqbRy8sopZ5SF0+6r347nHu7CmK9p0URqL9RjSZa3bieIHm0RuiSyBQ2P5fogEuMUbYWNJhjkyhLB+R06U7lhdSbmUh4HmCgonVQetDpZV1W5qTotK2KbWDFQALZGGkn4EhKE7y0REIj3N0LmA5btStwvQy4o2XdSonLeSVL1fExfq8g5duH/qeTwrXwLvxcaC3g2cNZwIxLuw5+q343s5ToEMXdEGwn1pN9aU47nU1xQJnSbWpPjxaJayVrsuED31PLg0HPgzYbr0GN7PlTdE9S8yYiUgz2TR8bHWacW3Z8l5K0nBN1ao9XujtPTZ40RE1Pq9UTrySRc9+8dK2vjtDqr/zpR8BvUsikLMU6nfkSOnqUvnw50zxKvKcVK3k99HYVTHKl08x1yxj/XgHGqtSEj3LjSJRMGlGcIXc2dQcGC/jKqDuCeYG8ddcVZt9K/gHCvvgFlq1QFABJnDGR2yutpXs+LDxAW26LBJrd8bJd8q9qN/xfxaAsJ/z8kTe8s4TukCEWSYJ3N3QneWSXkmS9X7NZGsZh+YykO6dENYSCY8ZkqXgpXZGL7NxZHKw5b0tdVlaW5IUXQYiQYrLsa7kMCUHMc9t7l6XUj4Jf1IEoPTeL5MjucOXHgCd4YnhecdnEUi19yQgtnpa6ukfb6FHv/BAD37x0pSz+iFBOQBj0IC8pCM+2V4K9pQcVIug5TKFdKqg/rX+A7M+eDAmc2o2H2WCeH1O3IirepJI+Bhd+xNraiAN34wgUrzeVzaRXOmmNBxF0JauRZBnFVr+L3YUTU8hsSg5LghDqkCZbLIZaFJu+Le3JgSyUL3S/aBFeux2sC7QG7jwZjfwAJeV7mUF315/zIqJUVzprTl1XOaXGQMbev+2VGKjCCQ8W4Y0rIPLEAq0rsBuIc7gwqSciUnEDKuaLKjMSdIXGnmqjhj/tn3hPXcS/oxr8pVVMmq96MqyqZSvjUE7dyZYC8Y77r5NXWm7OdbyXEaRnA7Px6kbR8NU+nbC0REtPX7I1CWuZkW/Oz+H/dR+btzFH1ziSoP69RSl4RcrUVCZbgQE6nZWTo6hM/Bn7HiSZALmaPAXgMtNRuioMMO684XUiIBy4oyrpwtqelbtQ0YPS/bykYlx/E+6nmQ2hlm6Diti3M9wyQqD9lwhC0ly2jnX86JFwYTaV2aIZeyfwnVak8Kwbr3lYTwqpjzwm7xlYd1IbJyhyUyYtLSZ4+L6zKbxPFeZc5A8QD+huVI/cum+CqwJ031Pk0c3YsHME/xTgRH1fs16eRVHsLadb6Qkkqr09CF0+JJW0pso+iCcEW/6qAuYhR7fngcKlYvpEi5liXlQp5KvrVA6d9to/J35+jeXQ9d/fcaavjuJO39Uf83zqn/96t/olivQV99+YjtrpzEeon1GbJ3eU2o56GCxpVOx0ldjDqZJ8HcmsgIkpDSbkMc7O/d9YgPB/Ml1HMaffXlI1S/PSfqc04DwR93vny3E+LG3FK7Qe4XNwT77l+2CdXMd4t3GsIti3dZXQ9L1SvWi8CxtBvv5VvFXAYW7U4Nw56ISGSfGUrJilmhSZtUzfuMPW9479fshWpUzV50Hhhaxx4f0WGcAcrTOeHMVR1AdbnqIPD+wWkE3WygWXkIe6bkuAHPEQu+5TSQfCrPZAErTaHrwVLpXDgpPmEprVnyyiXfWpCAU7mUB0zTKtj4EihEqE9p1PbTbip6fZUmfrWfom8ukStngAvyHOBF//c/Vbr71T9R8VuL9JO/qpT+3TZa+WwXOQ18b8cprG0uZoXHsZ8mfrVfFJnYsLJoDlyD/T/ugz+TVRxyZwyRWXe/uCHQIz7r2ZmbjTfZa4UNN5WrWftcGkNiwqTze3c9IhLB8MniE/C5CCxgTXCCEeux105kxC7OML/Su4EOJvOAGCJKRNLRYIK5d91K+EaRlPCdurkaUONYjyHePO6sIf47xQNIOrzrpnDMSo9hv5QdNSRZUi7lyZNGJ61ozhQZeeF1LtvGmP4VfHft8y3wrpk3RbrflcOeSvz2MVmnm1ohK163C4Uh5SL4Q7FeQ0yKN7UCalj93gw6mks4Hy7/Wx05TZ2e/2M5tf20m/7P/1YKCcgDHoUE5CEZAsFaTokGedlRS3HFcjXmANpx2tJeT+Oi8K7jIApNmaLMVHUQUJVYH1xYWfY0NIXN70njkGD5Vz6YlesZUZAKj5sC7VKetgLwO8u48M5DdYjNs3p+3oEK8VuLqBhZpkWsgMSKG/EuQ2RLJeBm6dOMIUpdyrUsXH3ThuCleZR2gwMQnAUEzKXhOyuX8tLyZRnX+h05MVljozNOwBwnEbC4s4YEjRVtVrD7xgr5V0Aq5yA8sGDjvplwWNptiEFS5SHdlga9nRDZxXgnYFnurEUutVzHwxOoBLH2edE83oMrXKy64zgFRZHQnWUh7QYWkSj95K8q1b4/DbWpO8si37j1+yPU8/MOOvJJF7Dg78xT4rePUenbC7Tto2HyrSIYZUKmbxUXKmOkuaPG3J6KJ3WpHHuShrTP78eHl3ZbcJMecEoYLhhYtPwy2nUxqGIoQXkH1IncL62TfwmJR9E8KpkMc2Cip3pOE9MvdkwOTaKqr1zIS5DiyltwFguqx7LPLJoQHkdSQURykbMkNcuOVrTpwptg2emyI3hOnNQ7TulSGWXxg/AYvp9Lw+d1nMI6c+XsgMhpWj43eQSjDNdigjrLXnKgxIaS5e/OkXIlJx2GeJflxWGtr/CYKVComr2awPUYNlfyrQVqakqLOZt6DoFr7fvTdO+uh7p/dhSFgtcgz7rj46FvnFNOHYEU4+TLO/A6lYcwD7FeBIYs/xmeQNDmtMQVWEWIydNczfekEVzX7cqLGk9rRYICiwgQWRiCn5V6HuRYNo+s3g9COSsdMW6duWUsH+x4PkXqU1Ac8r6SEMIym8UxKZY9InZ+PEjRQVOcsTloY7PX8AT2QP+n7ZLUDv7iMIpEG7ZLteO0LskrO9uzPHr9dvhhcNDrS0AaeVNrBhX/d+ahzJa2TfJc1jmz54fHST0L/4WSfgTD9TtySFquZ5CQzOIZ1O3KSzIYnEXHsfIQusFcSIkO2e7kZUfQNWn93iht+2gYa2wCfxcZMYVrFxlFsMhKazs/HiT/CuZEuZ6hzk866cwfmuhXf/tX6vykU4ok5e/O0dgvD9Drf4pS/6ftdOr3LZBo7rcEAs4jgOdOqSuP7+/SMO9c7HLlkTBW70O3hwUPnKYuf8sd6c2VCdwpvRbE7Iwu3XnukKtndOE1MaTPcVqnqvdmJJnhbr53wxBPnpLjBm39/oh0nhg2plzLisCD00QyWN5hdxqCs5hL7hwoF/Ki0sf3nTtnSDfCdztBypWcGF5yRyUyimKI08C5q1zOUXMjhEdYRS/Wh/uEZabdWUPWUt0u+DgxVLq8Q5e/c7+0LueaO2cXR2r3QBY5OGsZ8VoS3FzEjPWiY9Lw3Ul0hCxODXs1cVzAPlzqzTQ4axfzYjpb0g+J8fTvtpH/1TUyfr+Z3C+t063/iFPvR/sKCcgDHIUE5CEZhUy+MAqjMAqjMAqjMArjHxuFuOnBjkIC8pCMwkYqjMIojMIojMIojML4x0Yhbnqwo5CAPCSjsJEKozAKozAKozAKozD+sVGImx7sKCQgD8kobKTCKIzCKIzCKIzCKIx/bBTipgc7CgnIQzIKG6kwCqMwCqMwCqMwCuMfG4W46cGOQgLykIzCRiqMwiiMwiiMwiiMwvjHRiFuerCjkIA8JKOwkQqjMAqjMAqjMAqjMP6xUYibHuwoJCAPyShspMIojMIojMIojMIojH9sFOKmBzsKCchDMgobqTAKozAKozAKozAK4x8bhbjpwY5CAvKQjMJGKozCKIzCKIzCKIzC+MdGIW56sKOQgDwko7CRCqMwCqMwCqMwCqMw/rFRiJse7CgkIA/J4I3kWkxR7fvT5DipU+UhndTzGlUd1Ck8ZpJ6XiNP0iDvhkGunEHRQZNK+g2q3q9RyXGDwuMm+ZdNCs6aVHlIJ3fOIP8Kfic8YVJwxiTlQp5cmkG+NZMcJ3UKTZlUvU+j+d/soXiXQfFOg5SLeSo9ZlD1Po2igyb5l0wqHjBIuZ6h6DBeL95lUHTIJOVKjpyGTrE+g8qOGlTerlNgEe+jXMxTeMwkd8Yg5VKevOsmxfoMioyYFBk1yZUzqOqARvEug2I9+KyBBZOUyznyr+B3K57UKd5pUGTUlLkqO2qQ09SpeMCgwIJJ7pxByoU81e3MU3TIJO+GQZ6UQa0VCYqMmDT76yco3mmQejON775qUnjcpIondYqMYh5Kuw1q3JwhXwKv50nitZVrWQpNmhQdMqn4hEHBGcxHcMakyIhJRfOYm8bNGYoOmRQdNqlhW46qDmjkeXmdooP4HfWsRhVtOtU8oZFvDc+y7KhB7qxBJccNCk2aVN6uk/qURpFRzF/VQZ3KjuJZx3oMKjuCeQ+Pm1R2FD+r25knT8rA6ybw7ImIlMs56vl5BzlO4TXdWUPWj0vDe/pXTCo9hnlRz2lU9d4M1e7OkztjUM1ejYIzJrmzWDuxPvxdeAxzER00ST2nUXN9kgILJvlWTfKkDHKcxrp16gY5TuoU68VnVs9qFJrC9y49hv8fGTHJt2aScjFP/iVTvkvdzjypz6bJu4H39q/gmThfSOFz5A1SLucoNIVnXb89R668QY0tGYqMYO4q2nT5/PXbc+TSsIYaN2co+MYKFQ8YRERU0o+fbyleovCYSY7TOtVvz5EnbVCsD/vBv2zK/nEaOhktKHQAACAASURBVKnnNCrv0OkPf/8nCry2Sp60gb1m/V7Do1nyr5g0/5s9dOr3LRTvNGjzh2PkfmmdKp7UKTyB+XMaOimXc1TSb8ieDCxgfSlXsxSawt4pHsB8eZIGTf16n6zDkn6DPGmsneC0SYFFPJOKNp08Kazf+u058q3h+QQWsFZ5jwQW8RmVi3mKDpt04d8aSL2BPR4dxDP/n4P3cN3OPDkNnVpqNyjWY1B5h07eDYNCd5bxrExr3b24IXuHz5voEM6pqoM6+Vbx2RwndarejzVSNGe9fy/ep3gAeyDeZZB3HWu25Djm27tuUtUBnJHedZMcp3Tyr2AvxfowTzV78d8rntSp9JhB/+d/K+Rdx/mjXM9Q+M4yNW7OUMWT+B2noVN5h06hSXyuhm05qjysU+VhrOt7dz1U+/40BadNcuWxj9QzOKOJiCIjeIbedawZ74ZBRa9jnYTHsJ7VsxrV7cpTZATvsfLZLnIauvxORZtO8S6Dik8YVLsnT6FJPL/SYwa1lq2SeiNDZUdwFqhPWXt/BnNXeUgnV97A3j+nUe2ePMW7DKrbZZ3JEyaFx0xSns5RdAh/E+vDGlYuYf/7l/E5w+MmNTXhfPCv4Llt2pql4Bsr5EnhfA6Pm1TzhEaO51LkNHXyrZnkf3VNzqOiORNzeUqn6n3Y/0RE0SF85ur3Zsh1K0nl7TpFh0yK9RjkS2CdBBbxGcrbdfLdTuAsPadRdAh3yPxv9pB6XqNYr0HBWfx+c2OK/K+ukXIhT5FRvHd5h05VB/H8/Usm9mwW67bsCM67WJ9BpW8v0JFPuvDvx6x7a8Mgp6HTF18+Qu4XN6ik36DgtEndPztK5e06ztZn0+S6lSTlco7CE1gXTkMn9QzWpXpGJ6epU3QQZ1K8E3dUvBO/VzSHe8K7Yd09i/Z950uYclfwmuz5eQc5DfuOD03hdzxJg2K92Ce+BObceStJ8U6DKg9hfZX04w4OTeJcrX5vhkr6Ddl71e/NkCeJuzk4g7MoOoz14MobVNptyF3nymE/uHIGKdey5Hl5nYoHEDsUn8C+rTqok+MUzrriE9hzgddWyZ01qGgerxGeMKmlZoOcpk4lx621ex7PRL2ZpsrDmOf4O/MUHsf39aQMCvWnCwnIAxyFBOQhGZyARI+myLtu0r27HvKkERwVn8ChwZd00ZxJ8S6DlGeyFFgwafOHY+Q0dSqaN+nwT3rIv4zAzp3FgcRBgy9h0tbvj8il6EvgUuMEpuwIgruieVxiNU9o5MohkAlPmOR4LoVA4rkUtdRsUPGAQdnPt5IvgaCv7KhB9Y/lEJC061TRppMrh2AhPIHvwQF5/Y4cpX+3jZQrOfKt4jDzL+FzufI4pHyruFDK23Vq3JyRuQqP4fCMDiJAqzysU3DWJKeJIMFx0r5sGrbhQqh4UpeDPdZrSJASHjPloIwO4v38K/Zlee+uh0r6DVJvZMi/bAVfu5CghSZNKn93jtwZHOj1j+Wo8YMJXO7XM1Q8gEvGv2RSaTfmu+JJJGiBRTuQqjqgUc1ejZRnsuTO2J8xsGBSyXFD/r2pKY2Lag5zFRnFvAWnrcD42TSVt+tERORJ43Itf3eOosMmuV9ap1gfEqXgtElNzWkKzmAd8Ws5TmP+iubxup401ljRPNZSxZM6qTfTpFzJkX8Jn8Fp6qRcyJMnfV9Cc06TpM2dwbryrSEYCU+Y9Iu//i9ynNYpMoJ5CM4i6HDlsFaL5nExVh5GgKqeQeAXGTEleak6qEvyE5w1qbkhhSDcSkhLj2Ethsfw3Yrm8XveDQQqDd+dJCIi/7JJlYd1Ui7mSbmUp+As5vzqv9eQcgmBW6wXrxcdNMl5K4mA30ryeV0UDyD49m4YklBH31wi9QzWkX8JezKwiL+raNMpsIB5Dk0h0fUvm7I//EuYu7pdeSo5bkgAUHbUCrxfSVDRnElv/jlMThPBanN9knwJBGy+NZPKjmAfhqasAC6B71Z6DAFUaBK/WzyAZxScwefzJLFuHSf1b5xTsT4kmdFhBI+1u/My75ERBN1lRxGkvP3nELXUblBkxJQAb+yXB3BuLVrvP4b3rHgSyQwnTbw+PUmsu+IBBOPxLoPcGSuJ7sd/i/Xg/ep25smXQEEl1ovvVNJv0KatKCKUdtsFi+gg3tO7YQXm1zPkX8Jn8W4goefkJt5lUP2OHNXvyFHJcQSCwWmTWktXJWGrem+GIiNW8n8lJ+dI2REEaPFOfBblapaUS0iqHCex3yKjmMv+T9uREFjrv+Q43ic4i/ugcbP1Xgc0Kuk35Lmp5zUpPoUmkdCXd+jkOI0CQNGcXYSK9Vl7cdqURDreheKR5+V1zHnakGQmOIOzyJ1FABvvQnDpzhjU+r1RivUi2fQv47uWHcHaL+lHItX9s6NYW9N4T+Valpqa00SERC00ZVLtnjyV9BvU8N1JchpI0JXLOVJvpuX+2/bRMN2766F7dz3kW8VrFQ/gfA+8torz3nq+vCbLjuAsDSzgDCg7irOu+IRBj/9ggGJ9KDL4V/Cz0BTm3reK/RKaxHs4dXyf6CDOn9r3p8mTwhyVHjPI+0qCosOY2+gQ9kDxCdzdvgSC9trdeTmLeF+e+UMTuXP4DvU7cuRL4DXU8xqp5zXZc/Euq/Bk/T0nz+rNNLnyWPfxd+ZJuZwj5ZkslXYb9F9f/bOsu/odOdrUmqGKb89S9X6NnLeSVLsHiaZv1ZTX97y8Tu4szvzQlEnxToMmfrVfiiXhcZzfvlXcFeFxnFPxTtxh0TeXyLtu0s6PB6n6vRkke1Yi60mjcKo8naPgGyso7l1EMbRozqSi11fJqePzuLM4o8JjJoXvLFP1Pg375ukcKRfzFFjE+9fuzpN/tJCAPMhRSEAeksEJSLgnRdX7UAWvem+GKg/jkixv1yl0Z5k6P+mUpMC/gsDt6r/XUNUBq0K1ZFfXS7txWXvShgTk3lcScojV7s6jWrWEQzo6hAM1PI5AJTKKn9XvyFHZUbxGw7acXAqxHgQFpcdweLdWJKi0G0FBY0sGFa1BXDIl/TgwK9pwUXg37M/V8GgWlaQcgsPydiQU7qwh1TDvhl2NrduVp+ggOg3uLA6/8g78vXcDAWpgAQlBcAaXcmTEpJbaDXIaCPwcz6XIaaDa4tQRpFTv00i5lJcEqvKw3WWJjOBCLjmOapknjYq8ekaXy095Gp0b7waSuFgPgpviAVQX1fMa+V9do/AEkr7SY3bnx5XDgdvwaJaamtLkNKzg2wouXJohzyawgAu4YVuOfve3f0Y1/DgC//rvTBERkXpGJ+USKtt8qT7/x3IEe2343hzIOXV8jqJ5UzpeXHl3v7RORXOmJEbKpTxVfHuWSrvtym+8y6CSby2QdwMXunIti2Riw6CWuiRVHdSpbpd1cZzSJfiMjJqy/oLTqIBFh1HZKu/A5/cvowKnXMhTeByBWGDRJOWZLKk3MuTOWsFkG96D17x0BFcQREjnpx8/5yqsJ4ULunjAkCq2cj1DLTUb5DiFai4nx4FFBLe+NaznwIIpXRjlco6q92noJB3E+g3OmlK9Vq5nKNaHwDbehb9t2JZDB+2tRVQUh/BsnaYuSZwnhUSs9Bg+uytnIJh4UqfydlS607/bRts+GpZuU/TNJYr1IJDwpAxy3kqSbxVzzsl0ZNQkp47Exp2zkmQrYIj1GuS6laT6x3LfOKdiPYbs4dJuVG99CbxW9X50X4LTWG/qzTQFZ7FGvBsIfLnL6l9CQl1yHEFbeTv+ruwo1nlgEetDPaeReiND3nUkSxysh8fw+p40nv/mD8fIk0Qw7EsgcfGtYl+58nhNx2n9a91iVx7rhAsFnDiWHMdrBmewfjhRqmjD+gjOoOIfmkK1uOHRLBKCE1hT6lmcR8Un8DMOSoPTmOOqA5qcUbE+dLV8a9ZaubOMs+s7U9SwDYm+ejONc+6gLl3pWK8d4CrXM+RJGdLpKB4wJBiPDmHPunLY30VzJrlf3EDxodOqxKetLuWzaSo+gYQp1oPzrOHRLDl1dAKUS3mc0TMmEslrWSo5jr3qSeH8cuXxd5ERrIGyo0hUHCfxXPjZExGVHLe7flx5j4wgUYyM4syrPIRzgDvPvBcjIzhDPSk8S+3zLeiQbeAZhiax1vjv63fkSLmeIcdpXTpqpcfQ7fekDFKf0sip4zv41vBP9X5NOmieJOa1vEOnW/8Rp8gozgLlWpaK5rDGg7Mmqc+myflCiqJvLlFFm061e9DlCk+gw7upNUNFcybOwwU8v/AEzkXfqknxd+apZi/2EY/AIs4BVx7Pa+v3R2TOvOsI0pWncyisPIruVGTUlC6+bw1rlruhfI5zocK7gWdaeRj7uviEIfdieTsSQlfOoOAbK+RdN6VzVXbESugz+N+2n3ZTdAjzxkU3vgcaN+P88yQNKTwFFkzZJ4wCqDqAAivHN5ER7LWqA0icuGDF3RbXYqqQgDzAUUhAHpLBCUjsUIrcWVQPGQZT8SSC4eb6JBWfMCSgDI+bcqA1NaWlOh+cxoGonsWh6lvD4c7QiaoDGm0NzpN6M43q7QlDOgoNj2YRUBgIvkJTOFR9azjsGrYB+uI4bQUeJip49Ttycjk7dQtiM2pS4LVVCs7g0Ko8jKpFeBwHj3/ZlPatO4MKmCeJJKRoHgezS8PlqFzKy1wVzSOZqHhSJ8dzKXr/L34ERccMORSL5vGe4XF8r+gwvgfDDLgCFJrCIedL4MLyvoI2PyeBHGS68giwlKtZqjqIADE4i85PaAqBRHDalIp4cNq6LJcxR65bSYoOm1Ll8q0BguLUEQCXdyC4CE3iv5d36NT84TgpV3ISmBYP4ALq/7SdanfjMrt314ODeQEBUtHrq0REaHPzId+uCxQvOIMWfkUbOhCP/2CAfGt4DlUHdflMyrUsOQ1Uur/48hHypNCVUi7mqfIQkrjHfzCAwHHGFChbrA8BjW8NnycyikSM1wBDr7wbSAiUZ7ISrEdGTXI8n0LwcyFPjudTVL1fk/fjDojydI7inXjODDUIj9udIF8C68t1K0lFc0jkGbLnSeGCdb6QIiKSOSo+ge5LYMGUy5ihGbW780h2MwYpV9BR4+fX3Jgi9bxGe354nLzreNZ8SZd34Pt70pjP+u1I3rkjUfT6KtXuyQvEInxnmVx5Q+Bj/iVctBxQqzcy5NTx/Ou3AxaknkdAHZoyadtHw+iUntKlW+o0dNr20TA5TupUs1fDerSSW+8GYIrqeY3qd+RQoFjHulWeRvL+P0d4DMESQyhLuw2BULkzeO+avdg75R06Ar9rWWpsyeB5X8nJXlEuY90HZ0xq/nAcUJ69Gqln0H0t7UbyVXwCVfeW2g1AFEfsKnOsxwAMrBcBdHgCZ5E7Z9COj4dIPafhLBlH0MfVWPWcJok2J7eOk4A8BqexBwMLWLuNLQjw/ctYHw2PZqmiDV0zhn55N7BniUjgjeo5TbqXwWmrm9CDZ/XHvz9Crd8bpeiwKWdX9T5NumKeJJJ3hhG6M5jrzR+OSYcj8NoqoIGzKCZVtGH/cpfUk8S+KzuK8527XKEpU74vJ3ZVB5Ekhsfw/txxjPWhes8woeA01m5kBHukvEMXiK56XpNOh+tWUrpF5e06lfSjOBGeQKJFRJIEOW8lBbbG34MhwtFBBM7NDei+MySs9BiSzYo23CPBGZwt0TeXANsaM6XzHh00aWtwHsnKhClJp9PA2vKvmPI3fCc5TXSUIyMmnfvDJrp31yMdQ08Kfx8Zxe9yUsNdLccpwIa5g9X4wQRV70Ngfe+uh9QbGSo5jrtYuZ6heBe6AJWHdXTiVnD/8HDlkCA5Tup0765H7hT1ZloSrYo2XWB4yjNZuX8rD6HAx11z/xLiibKj2OuO51IUeG2VosNWQcjqLnmSmJ/Aa6tUdsSgrT4kh+FxU2IK/7LVwdqdp3t3PaRcyeGcsopS3T87KveId8Ognp93IEnahn1fvx1njHIpT65bSfIkcbarz6YpsGAlShfzpJ7T5E6JjJjSUY0OmeRaKiQgD3IUEpCHZHAC8r8urkqgEFjAxaBcyFNr2SqVt6PqWXUQCQlX6Er6cdhVHtLJpRn0qHsKl+yzaQpOY8OWHMeBw+3NwAICiIo2BI2l3Qgeyo4YcpH5VhHwRYdMCt1ZxsHw2iqqZklD4AJOAxeSfxkXn3IZUIWSflQyG7blAD1aQOUuNIUA7v4gsmEbgsrGzRlgbk0Ewg2PZineZQi0iAgckOAsLhblKqArdTuB1S0+YbemPSlUDf/7P52oDneiGlc8gLkpmrNay2N4HW5ze1I47JQLqNrzhRodsqAtRw2pNHrSqExFB02pqvrWMG+VhxH4u7OGYOC9G4bA3eofy6HSs2xDXxg6U3oMQYfTRDBZNGdK5Z7/Vvt8C8X6UBGPd+Ky505R/fYcuW4lwcGxcLq3/iOOCuUVJJGeNCqA/mVUq9QzwL87TiK44mCJg+HIiF0V5opl/WM5cpxCR8WXwGXC3Q1O3srbdUkkfbcTVHYUgb07i2TQv4I1E+ux4WfuFzeQ0E4jMOAgjJMi/zKeD8+nJ4VL3HEa7xW+s0zK1axwkrwb+PtYD4IQTxLzxJwW/woSXg4GY32o1O74eAjcnb0aOAp3lhGEdeCZtJauCnentBtrr6V2g4rmTOFFOE4D4180h4S66PVVunfXg/ceRIWbO27OW0ka+LQNAfVZdMl8a7j0nbpBLTUbFBk1pQsRWMSzK2+3OQPNH46T4xSCN+VSXpJADhR8t9GpdGlWAj6KNV/ajTWtPJOl6BDWx/8clYexX5ymTluD89RSlxTOllM3BNLV2II1WXoMQa96M41AeMqGSJV2o9Ny766HfGsI9BzPp0i5iE5AZBTPnaGI6o0MoKVWEYGrtUVz2JPqeY18txPkXTcFjsUdMq4Ye1L2mddSl6SKNszT/WdKzV5NunDRIStoPG/B6BI298txEl2b8LjNoyAiincCVuPdMATHHpxFQsL7q7wdAW6sx5COK8OgQlOmBJOVhwGjCk6Db+dJW5DTaSSJ3PFVLuXJdzsBWI2VsPJe4nPGt2pXw30JU7qNVQcAtY0OmRIYxztxrnhSOOsr2nSBL3k38EycugUBu5FBN+lbCxQZMamxJUPqs2mq3YMqP+/R8ASe3f3zFO/Ez7XPtwiks+Q4EvbosAWJW8c8uC0eUM0TGrnyhny34DTOGU4YY30G+V9dE3hm6TE7Ma749qx0wTmJVS7kqf/TdinM/OyvCr3+pyjFevHZ/vs/nUjGrLMj1oO9487iHFPPa6Q8nZNuqXpeo8rDKAD4EqasHb6T+DvxfgvO4C5uakpLl+j+5P/eXQ8VzeGODM7gLqp+b4Z8a0jc+VwpHjAkQSw7ioJe/6ft5NRxT3315SOCJnDqSLxqdwO+pZ7R6Sd/Vcm/jJ9V77f5W+oZrNniE4bwXYIzpnTq6rfnSLmUBwzc2mOhKZzpvlXEJ85bSfIv29yb0BTO2/rt4EtyYY7XYWk31h0nu3U789gzZxCXVB7SaWt4kerrVwoJyAMchQTkIRlCQl9IA6K0blfwa/ZqqLomcKFUHkIl5H4eR2m33aIv79Bpc/U6xXpx8BbNm1KxKj6BgKbkOA7/4Cz+W1NTmjZ+u4O86wg2ueJT84QmuHkOFGK9SC4YIsAJkG8NHZmavZpAp4rm0BWoPIRqKFfDGMtbvV8TOEt0CBfJu38ukiRHPasJQY/HvbseQNQOaIIxrd6nUXm7Tp2fdFJ4DId4rBcQE8bnxjsxR6EpHNgMrWBsLbfgQ5MI8JwWMbLh0SxV79cEa95cn0RQaPFuwuN4j8gIyJetFQlq+2k3NW7OSKXMk8Kz4MqjfwmVWv+y1dKetjkSgQV8PoYeNDWlST2v0dt/DoH3kjOo4tuzFBk1pSoVHsPhPv+bPUREuMytgJCDcCHvnzDkMlCugkfkOG0F3r2Yd/dL6xTrwWd+/U9RJLfW5VDzhEaO00iAnSYSAoZoRAfxM8ZgK9dBllUu55AsLqESzaTR6v2o1PluJ2Q9+pespCWHYIiFFhgyGB43BWrBWHjfqil7pnqfJkkNE0I3tWbkAot32Rd80Tz2lSeF9cyXH//Mt4p5Ck9gPpWnAZuKdxpCQHUaWFPMf6reB4hNcNoUcqdvDc/2zB+aBGLAlb69P+pHMDtrE2YrntQp+MYKhSdM6dJ5UlhLtbvzUnkMj+PzMyG7os0ieg+a0q1Rz2mk3kxTw6NZSvz2MWpqBraeK96NH0xQ+btz5EkiaGGYEwsa3D98q/gs9+56BEbG8D+GzZQdRZDF0AwmKlcd1Cn+zjzFem0hCCbQMj+KIUBVB61qr8WjUK5lbZ7PIuYyMmKJMfTi/XyreI/Agkn/9dU/U81enIXhCXud1jyhCZyleh+SRsdJXXgv5e2AzUQH7TMlOIvOXOUhXZKP4KwpSWJo0kRhw4JgKRfyIhJQvV+jsiMIAJm0G1iwOj03wMeq354TUn5ptw2HUW+m5XwPLOIsDSzaXDlOeioP6VT93gw1fjAhQa5yGfBUPtMcp9Ct8KSRFIUmEdRxQF9yHOdN5SGcFVtiWHv+JayjqvdmcNaN2d1Gx/MpOS/dGSTsyuWcdBHLjhpU/NYiiPanUVCK9SI5JSIkNa+ukXIFncHIKNZD5yed0kXj5Es9i46zJ2kI14I5W+4c3ofhkZyoepIWOTxniLBL3c48qec1ai1fo+aGFNXtylPjBxOkPoWkhnlYjtO6wMMiI+jauPI2Od6TxO9W79NIfQr3kOMUioX8v8UD6FwwaZ4LSq689Z2eApzug7/4KDyO/RxYsAjs5n0QrAW7y6E+pVHgtVUqPYazsfq9GUkIGcZVeRh3rTuL80K5nqHitxYp3mXQmT804X2HsAaVyznq/KSTyo4g5ghNWRAnqyDHaITAa6vUUrsBMvthxBmOk/g85R061T8GgjlDk9O/20buDF4zPGHSz/6qULzLhgY2tmRkjVbvQ1dTPWdxTq3vxwIBoSmsN4bxBmdwX5T0G1Q0UOCAPMhRSEAeksEJSKg/TbFeK0C3oCVF86jieF5eF9hVZASBSuUhXJCeFOBD87/ZQ4EFEMGCs2ixlnYbEsQHFsyvwRLinTgkq/fjIKndgyCvtBuBRHTICoYv5oUXUDxgCJyheMAQ0nxkBJUJxylUfoNvrKDid1qX7otLQ+DIqhyBBVxgdbvyAjfjy6x+O+AajM3mER5Ha/aLLx9B1enNJVKeRrDV3JgSsi1X7KPDplRiWWGHK1hMdo714X+ZfM9qIQxXYFx1ebsuCQ1jV91ZKwBKWKpOl/ICb3CauNBdeUOwvAznqDqgQS3MUvDirpJv1RRyPAcFzfVJkMDPApLkf3UNZNohXE6lx9DBaK1IEBGR+0VcFkXzJv3p74+AJG19l/IOBPcMOeGEQ7kEvLLvdkKw5e//xS9E+KXPHofiWS/m0rdmikJX9T6NXBp+zlVT/xJew5U3qLkxhfe3giH/Mp4Bw4VKj4HLxJ2e4hMGVb03Q77bCUmYWLWFYQAl/Qb96e+PCP/g8R8MiMKN8jSIwLEeQAGYBPx//1MFZOnOMhEhCFLPa7Tz40GQ9q2AU7mSE/Usx0mQzaODWN9MDFfPacJxKj6B9eZJIuhTruBCLh4AFIi7PcwvcGmYo9rdeeEZVe9HhZZVzpQL6Fj4l9CpK35rETC8Ljzre3c9FJqyAvtOdI0qD1vdqNsJmQdPCt0f74almDWDNVDSb5Dj+RRVHdDI+P1mchoWLGIaogUcUN8/Svqt7qcFEwqPI1htqUHHKjRlQ8ecBgK+wIIpJG53FskHQ/Zqd+eFdBtYRLDntiCZ8S5DKqTKlRyIskmry2kFdXW7sG/Uc0j44p0IXJy6QY0fTEjiVtKPNc5wF98qzsPQJJ711uA8+VcQvHGxIDhrQ5VYOIKJyJFRVIYr2pAsxt+ZJ/UpTeaIFd6q96MDwl0APpP4OwQWTVkvvlUrWTyjyzpm6GpJPwo86jnw+yIjONe4oxicRvDuX8H3cWfwjAILNvQyMmJSybcWBG7l1G2YkHQpLI5Z/WM5Us+gOxQdMsn5ApI/rvIHZ5HAcBLU8Ch4WtxdZSUtXwJJ8eGf9CB4XsTZTAQBCE/SkKSR1dcYEsyCC9X7NEmGnIYN5/rsb/9C1fvw3Bn+Vd6uSyAdmrT5eKywVTSHtcfqjOEx3DOepHUO5rBWSt9eoOK3FqWAw0gA7m7U70Dnl8VVyt+dI+Ui9mt02BQRAOctwKaZb8fJM38eVw73bHjMFM4WFwl5qGcA8ap9f5qcOgj596+l6v2aJKZVBzScJ4umwHddeavra3FdfAkkabE+PG/Haazh9//iRyHJgl/W7UQs4Hl5/f9n7z1j4zrPtOFggf2zP/JngQ/OZvdM5ZAzHA5n2NtQFCVZXVaXKIkSKbGKRSTFTooUy/Rzjnqhui3LcomtuMYlsWMnsTfNyeus0zbdSYQF3i0fFviwWKzwfD+u57qPlHyLd79fBgwdwEjiSOTMOc95nvu+7quoR2MzYmjAiVvlbnxH41pa1WyFYUtxtzMlcj2OSVh4wDEn4fqs3QxqVcMKuNARlCk7ALDBuJhVxYed6Senfmvf7QMtUbsOuuceUrA+zethA/IZudiAFDcnVPk+jVJroaZXIzzxdRlBq4j2coTOAotIMAvxWBsQWlqoFkzqsX6bJaIzctspLvcvaprP+oyMwavfGAU32AatiPQHFrBlB5yilPSTwHEc0mX7tSXh4yk5gPwJS4qR8ADQn2gnvgspErSZDczisODl1TafJYecEX5xt0OtIK9/Vdms8icsKdQKJlFA3v39F4QaRLekwJwt947IZdXO3AOTEU5rvBlLvfTLMCwhz6Lw9ictQWh4eLjO5ERUS00BmwhfBodsxR5s4o/GZkSHY1zOqJKDQKOrduLP0to1MAvkiva8pa34z8b6hDKupoU2ggtj5gAAIABJREFU40ujcGbhYVwDokWkMdoJ0WqkD0hm4bA+GLZg/M7DvG4j3M0iPbags9FONLue24vKfcoUfrHrPDRL7lOm2vhej4gbjRspEbeHhxzKD5usuk1ZEXxGejQSOq0nLbcSgqDmz+CzEm2vbEKzu/rr/WrZqpQyLmRFVEmRZWmLtjHWDSO1Jpd+WqeUwqSIzWLhMNYHaT3hIa0F0QUCKUyRPmfqdO+uX9VszYkGgTS+8mZMW/yLeC9//ckj0A6dQXNLnUPVLiDdNdtyYg9MV6loFxqE0lbrAYoJCxzXeRzoVTtzItDl9CLSh78fGrVFdM7C31jKyoSM+icWNCzmXefhyvan151fRFTpaxNCj4r0YULhe2YeHO0jGkG+BYOG2i0oNOo2ZcXVKDCLBoxWqv4knkvD14bUjvc7hJ9euxlrz3UaewddsOiA5joDxJtC9NCYbizuzIrAl0VlxR40FAWTjp6KujYK4cMDtjTurjNAtV03k6rl2y3QhbSBIhoesMUhj05UsXb8DKUU6CbTaBYokg6O22KL6zoHFykWfrEOSygs4UGsrbL9zt7ovpVQeQuWuvv7L8iUiVMO1+MpVb82I6YQ4SGcC499o1vef64pGji4bkILV3IQDbA3q/f7dSiqK3ejOK5fk8YE7ijWyrmfLFNFR2yV/Ie1Qh9ynXEcuVzncsq4kYKZwxDeQ+5vHtsUWlR8HcwNOPX1L1oCDHF6Wf6VcYigmzUFZxOmNbQQLzlkSSPozVnisGhczGI/2Z4ToKLi9THRl7jO5+SZEeyI9OIdqd0MsXpoFBPF9e/1ysSPFFmeXQ0rUkL5rd0CF8C8eRTGefO22NRzjw+NYa0ZF9EwByccvQtF6q4z0BjGOvBdeEX6IDSvemNUwJP4Bgj9aREd6bFFw1Z4FJMoTh4JfFHLNPPRJpku5s9oQfciKHQFU3ifarbiHKbzWeC4fme1S1/hMJwUjcswqOE5QFOL8q+MA0x4Zl7oz/6kJU1leTP0Lv4kzrbibvwd3zPzABf6cK/4Hou7oKbGGlcADkX3PmxAPs3rYQPyGbnud8Fi8Vz88pTyPJUQLmZRPzbpql04kOMbYGnnS4F7HrwzC5GZdgTy6XG/+8mEWHmuqF1QeQvYCKKd2hNdI4Txt4aBaFxPi42l60xONoq6jRBvs8CPtVtyeJFKQQcO9wkTrlDaXadwGCiocSUDAd1pcGRZDJW26kyMTqA0oTHthqI3MR7uSilxyLh314/fczWtAsdRPD7x80oUI1+eURV7tJblS3PgeetDndQkb9aSfAz60+fN41CMr8uouo1wj4l2OnSy8CBQq5ptGNnHNzg5C8blDND47fj8pNDwkCvbr4WmWldCNyyiaPF1GeV7ekEtb4TIMjRmqy3f7AI1Zxh/P28B6OzK6nlxHHKdz6nly5NC+VJK4Wdvz8mEKzSG4opUoEgfmrryZlOmNwWTKN7up/hFenR2hD7giGTRPtGXtoRyYixllf/ZeeVPOpxrFsOFw45nPHU2LHTi63GYMGfAl8LEzXXaFDtL5pnQza36jVFlXMgq1+MpVXLIcR0jEhyYQwHBg5Hib7or1WwDWs0Mm/Cgo5UxbqTgmqWpEGyAS1t00aIbebphBSccnUCszRK9TKRHT4jaHctO0ducg/CbhSE/c7QTvycwp6lV09reUwuDSVuk/mD58qRj2jBgC5XLl3Y46hTLclrDbAP3SUwbXWcwTWChSu46DQ3uv/Lm8e/ZaFQ2mWL6wAaP70TBpG6or6VFnBwcd+x6vbcXlXE1LZMG40pG7HHdTyZU4YvHRExMpz6vdmEqeXVSnH5CY7YIx7nmPbYpKClzMWq3ZEGTa4fOhTaixkXslZE+WxpRuiHR1MC4nlZlByy15ZtdKtJjCxUn1o69tHoH3M2UUrD5ngaaG5i1xfiB7nlF/WjKuebcJ0xpxkpbUagRIPJlHB1WeTOmWw0rU7KWK5tMoQ7RqpYif+ovYh2WaPoaVqZgvqHpp3Qw4z5StzELYwVt2OFPouCuX5OW5pQgU2nrg8BH8WGsdfetBHKW9uLzB74E58WN7/WoaJclNryxNksMTJYvT6rK3bBbN5ayolsp7sbPK99nyvTBYzrOhK5zWg/SYcnU59GiaeVPWOoHv/1bASqoOQjM2jLVD47Ducm4kFUVezDZJh0v2mnJnmncAOPAm3Gm193f24tzU7s31W7OKo9pia7RY2l78kVLqHuhUaxRj40MIebncDpPlzTXeVCjeLEBJCWwfJ+prB+vFNF3wRRYEaveOQIx+iz2fvcpU/Jfqrdjck4hPSeMoTHHgTHaibVl3Egp1/mcgD0eC3+PdsUlh9CghAdsmXRHX5lUq7/ej8mztj1e+26fcj2RxJmum9LazVnlOoPPFuvAvaNrmnE9rW79vFwYC/kz2uxjJ5p915mcU3NoAC5y4GED8mleDxuQz8jFBiS6J6FCY46DUOVuoBBFRzDVoPMIcyTypzVqpN07ajdnZZOgE5brbE6QBPL9fWm84ETFWUD4F/X/HrfF1lfQiCmEUBlX0+BlL2Xl4KKDE919KvaaatU7R8Sas2KPKUWiP6ktXtOOUFKalHWgzrz5q3z1T7//gor0AMW+35awdjMKXvLjvVltJ5q2RJw389EmFd+QEX1K/oyt/vOPXpW3AEqMP4kN3biRUvF1aIr8CRR+hcMQFxd3OxMeUgCCE9oDfcB2RMCHHLoD0fOifltEkMYlaF+KjuDvkOLFYML8GRRqFJYykDE8aMuUqHoHxtXGNRQC4QEnuDDWhmdBIbJSSiheefNoOulYZlxNC+Uj0oPPubJyDt7vRzHRia/PqLEfblW+pxfg2PWlORUe0Ei39o7Pe25OPiPtSa/+rEYyZ5ixwAkVUd9Ym6ajdDoOZN4s7ln5PtC7SC0j+ll82LExLn55SlBE39MLyriOTIn4W8MIyNIiUI8NvnvkpWkJ0eTBGBq1RQNiLGVV8M6shJi1fbcZQmAtpGdYJYXCwQk0SRd+Wg8bzAUHPY70gjsdHtROL/tAT6Bgk1z+bd/qVO5Tplju0oqTayg0AtCAzRSzaJiRE+mzxS2rYi8KHeoCCl6YVXkLlnxmUh850aGDVcPKlMp7bk6FXzwm7mCrCyflnY30/H+L0GNtjlVp1U7HutSfxF7kOgtr0vsD3Cr2mMq4nBEkODSK71Sx13ygkI304POFRoDSG9fSsLE+jO8cvDOrljcm1aqSWZmQUjvCbBpawopF6NMLkufCqRpNJuis4086jki0nA7emYUFup6QGEsoMOMbMqqxIaHq1wCkKep3mobCYaypyt2mUFAo7jcuQTDOd6VuUxY6j3MAIHwpvCc0Z6jahUJzeWNSvn94QAvpn51X3gwKW06hiDzXbXImyR4LE25qbmIdyHAqbwZiTq0Ng/UIxqyoQR6L62ZSzCCMpaxatjqN/abD2QO8OUcnEDhuq2/92qN8GQc0qN2cVcsbk9BFXMQ0O//540oppf7jjx5MvlYC4OLkyX0SZhg8EwiQ3C/YppYgPOQ0Fvkztjgx0vwjOI49mEYTsXZQMgmo8Nx0nc3Jz+ZEjHs0G9zKJlNMEFw3k2JAULYfkxnmx+QfQ9PtsQHCFR/WYMtL03JW8+xjICHBGZ4h91OOGXYb6YGVujeDMEqar7jOYp93nXU0S7Snr94OcKH7e3slV4mNfMEkfj9NU7hXVu3MCcjoSzm0POMyzklSeat3QEPFRt2/CP0HG6DQmC2ZN8FxTd/rwXkY6XFssD2mQx+Nr88o960E9Clab+dPYIpV2opzvOgInkFg1n6oAfmUr4cNyGfkYgMS6kxKUUXdxbJVKUnHjnVALFuxF4dcYFanji9lBQnyL1rqO78x1PLlEJ7mT6NxKBzWBcLFrMp//jh81JMo/gNz2FB8aU2bueSk5BoXs1J4h0ZReMQ3OGJc5lnUvjmijItZ9eovC5X7VgKfR2eFMOCqZmtOaD5EO4mE5M/Ywq8vbbFks6TYkZfrNLjqsTZLPhPDylhk0jnEl9IOVS8ewyHchg2WvOzgBA4lupgQ2WaWBAut0hYczuVfGccYXusmfCmggrTRpP+962YStKNjDlfem3O42w1fG1LxdRmkGeuC7t5dv1r7bp9aUbMgzWHZfmzqpP5U7TKF/tLYkBD0K9oJNI0OM5VNpthwup5Igvqj+cW+tOUkWGualfskii0WbqSXGNfS4r1PmpuxlBUeOp+NL4PP09iQAEJ9EMVy3gJCv5jHEhrD/Sw5ZInOiG5DoS/PCCfZ98y8qtmG+1775ogETlIkz2kCpwiuczmhP3Hy5s3eF96ln7VxI4UsgxGsJ1JxOGEJfGkOdtfdTtCbFMLdlri4+VL47L6nF0DFOw/aQLRT24PuMSUwzJ+wBCy4d9cv1AIKee+n8zAkzXUzKZOF8JAtYXi05KSQdUXNAprkJD5b8WFHAE66Cq2wq3eAChXpxTra+/cHJWBtRe2C2F1W7jbFYe5Pr/xpR4BNQ4OCSewXJQctSZD2L4Lq4b4FDRqFz6ExW3J8qnfkxFDAn3A+f+VuE1oY/exKW9AAcNpQsQfUrtAI1n5pq6V+8rsvSGFqXIexgnExq9xPJuTZR/rwndy3Emjo5gF4MGOFdLz4hozYcPufnVeRl6Ylu4gi5dot2HMZZlf88pRoZuLrgOh6nkqIO160y5JpdbRTTyQ0KNDYkJCiMzjhTGQq9gJsInUnPKCF3d1Olor/2XlVctBxHPQn0SQxdyTWgaLe9URSgk/ZjPmfnYeNc6fj6le3KStURE4yjYu495zERTuxtgKztmi5WLRXvTGq4usy0ixTQE5QK2/BksBGUmJrtyChPb4OOh/f0wuiJaIDX7QLz964nJE8jqYP2sRSl9MGhiFyj3addhp9Ov2xWSscduzmIz22NMDRLtApaQ/LBjA0hvVx6+flyriUwXT1zqwYkJBORqML1xlMlNy3Esr/7Lz66LdfBDVWT4hu/2OpMi5nhGZdvg/3umZbTqU/Xi3vXPFh7EEMa421WZJzw6astBVTqtrNoNVyopw3b8ukxriUEcDMuJ6GrfGAQ5v0pXCmkcblS+Ps4Z7DfbTkIP4emQs0rGDAb6QHAKL39qLY9PtSoHg1rEwp90lkmvmTlkz12YxQaM+mktkydItkzhbPZyO9+LAB+RSvhw3IZ+QSCtahBGxOJxynqvh68Dzp9W0sZVX5V8aF+pH//HHY+00ikKvx7UFVvyatfE8vCIWl7IAlFowUs9VszYnzEDmdsQ4UkkQsjUsZFCpd4LGzyCUlYtnqtLh1UcBJnjnR0lXlxwW9c53PySSEY1TmRBjX4K9f3I2DuGy/5ntehaCVF2ldpG4EJ4Ackn6RN4+N133KFBpAwaTjrkQ6A8WxjQ0oAj22g9SW7UejEh6yhSbDgqu421Lv/NqvvFnwaslrjXXgc1ftzEnx6zG1NuSFWbErrtplSsgiTQJKDkFX4s1hU+Z0p3K3KUni5AnXr80gH0Nzf0tbLOGoE4V1P5lQ//v3f6OMpaxkFxApC07Y6p1fw7edyFxpq/Ndol2WY2O8E6N7Ug/YqLhOo1ArOYjil9Me95MJZVzIqrL9+HnGxaxoKPIWNFVQCw6jr0xC2K/DqEjlojFAeBAHYXACVCNaS+ZPA9EMfGlO0FEmzG/5ZpcKzOpUaU0zo2993aasFEXU6VCUTfTUuAgbYfdJrEMG0eUtWKKbIB88bwHUG18Gz71ytymIITNsCo/a4pkfHMekpvCo4xYV67AEgS6Ysh1K3HFbmnJyy42lLAo8LYCNtWEyVLbfcgrhbjwn12lTEN7K3eYDqK7rDAIxy/eZKv7WsKDD3gy0PcWHLcmX+NOLiewUdEdfmURYpTa4YC6L+xQmYCzk6fzmOpdTLd9ugXPfIUvteL8DaeD9jsNffD0aSONaWrmeSAoKHh5Ew1XwAqaT0U5oGEhvpIjXfQqUEQIeXJsNK1PQVx3CxMO4khEHp2inpVZWzyvjkkZ5j+LeuR5PiTaGSeLRLg24bMlictNrC8iilHIyFKacpGh/Es/KuJSBDuRMTq1654gI0jkRa6xPoFG6kVJ1G5E/47m9KIYPFJDnzziAVKQH0yFSVQtfPIZG5gLoLhR1Fx+2JD+h8CjeH+adlB2AIx4nvXxPjaWsFNuFw7ZMMaKdlip9bULejVibtvTWBaJxHXu5N6sn3i9PKeNaWtB2pRQybjR9NTxki50sJ2jBcawX0T71OnTe0Igtz5ri73t3/Sr05RlpxtiYM2uEQXaxdjSxzJWg1TLF7ZW70aTwfpU3Yz2UtlhC++L6iLVb4qRIAIx7QejLM+ImZVzH5JmgCenSntuLYjNMsXqkD/eCV2DWCTqM9GGCRFtm9ylTaIy1m7Oyjhj+y2l7wST2P9rwV+xFzpT7FOi2HguTx8rdMAWhK6XHtMR6OThuixDf/+y8BISWtmog9EpGRV+ZxL734jG4Qs5oU5aTsJ32Jyw5Y5iTZNxIKeNqWl34ab2KdWASdOvn5arvw92idaJO7H6zgJJDlirZ+bAB+TSvhw3IZ+QSCtbehPC0Yx2W0Bzi6zH1iPQ5m179V4/iUNToVFE/DiKikr6UJcUKBcvkvzOZmCFF9WvSKjyAjbBmW07C8Lw57RS1W9v56maGjjBE2WlT2/RBmyrfBy5v9JVJNfbDrUA9NG3Jl3LEp6Ut2Jh9uvAhclm/Jq2WrU6rmm3g/Jftx+/jxZBBjqxJv6pswuetbAKiTiSXAVjx9RnlOgMqE910KNRfvjwpqHd4ABtn+T5TwtAKpvRGO+dYfcbaLeHpU5xIqpsvhaKS6CCfnT/pJBLnPTcnomiKgF3ncnKY0cLTuIakZeMyaD1EjuMbELhWuyWrtnyzSyY1SikVOA4UiochG1p/AsVR3ry2qX3xmAoPwUY0OA5uPYOo8uZR0JccQqNYsccUj/od73eAOzykD5mraVBWFiyxvvXYoHeQThVrQ4pv2X5L+M91G7NCP7s/sJAUAoofa7eguOHExGObavnypMpbsGQax8R7Upnu3fWL9W7+88ch8tcHaN481lNoBIUuJw1sGou7rQcoUdEuXTxsyEhKdrQT9zM0YqN4vZgVh53783r8Sb1Onj8OAbZG+6i1yluwRPBL4XD9mrTypXHP4+sz4rTDxO6e7zcpXwbPhdoVapoCx9EIUs/AfaTwKP49OfRl+1HQ+pNomvyLKNSC4/hu+TN/3oC4T4Ae07AypSK9Wl/WqfeVrTnV2JBQj32jW0wQjKugbNZtBJWqbL8lCcyBWVs1xheVN4t30ZvFP3yPY+0oIGkSEF+fERceuuOxeaceovgw7tlHv/2iMq6lJY+GRSpNKrwZS+16vx30mSwoesWHLadQWrTEzth1NicTr+C4LQF1NOXIe25ODf1gh0xASHGl6xkbs1gHmuGabTn1aPG0ir81LJqB1fljCNQb0xa9WmtR2oq1EpxwQB1qX/jucy9ethrU2MhL05L9EOlxRMmuszkVvDOr1r7bB5qQbsbyp21xICuYwv2Nduk9vtex6KYjlS9lyb7vzTjvSsUe6AdXvj2givrxeZgx4r29qGq25kRro5RSu95vV67z+P9paEJrZlJYGTzJXKaarTnZg4uO6LDHNkcc7s3pAn4CDSdNQqKdeHZE5Os2oTm7d9evfNpUhGnltZtBaQwPAPhwnzJFWxkaRYPF6SgnQQVTeJ8IGOVPO2ANmzdaRvueXhDK0dWf1YhJAXWJzDPi9U+//4KknBd3oyAvbcVEjeBh1S6c2yWHsJfwTFzjHlQeyxRnutAY9r/wkA76u453JNJnO2dmr7YP1yGHtOEPD+gsmTmd9XLaFCDQe3tRQh65H/kyYAfQMKeyyRT2hevxlDQV3Kvv/8eXxj4ff2tY+dJam3ctLcHJ0U4wQwK3xh82IJ/i9bAB+YxcbED+9hTyECI98N52nQG1o/qNUeH+MuGcYYUraheANmnRIOkFnEzQYYQ+5B4LRRlH76ERJy28Yg82CRFSj9gSIsSC3X1KhxRqHq7nKaS3L/xovYgKA3Pa4//FY5KfwM9EhKa0xSmMSg5pesVeU3JB7rd8pHWjUgoUmIzj28+8h/q1cPIKDzrZDbSYpGg8MKuFvW347qR+0Omj+LCT0lzUj/sRHAflQooJ7X7CVNyCKfsBpy0egIHj+EyxNvy95Y1JHMi6uKLQzp/U/6lpXRV7cQhEXpqG0cCokzNiXMmI9bFxIyVZIXRNc5/EwRV/axjTEU23MJaysl5+8rsvKON6Wji1jfUJ0JK+PKMKh7FeKvbg0OT3i6/LIMtjKasaVqRU49uDSB1+AQ1vz/ebgPRPozELTqDg8j0zr4zraaSRmzjUer7fpMr2W5JjwukAOc1sCkMjjki3eju0Bb4U7pv7FJrC8n1A7rwZ688KqAs/rZemafqjx6T4IPKrlJLmhXSG4DieB4O96jZiIsJ8BDqC1X/1KFyYNHUxMGtLIcVGiVxr40ZKuR6HS1esHdqA/BnHSpJWzRTnr323TwVmbUF6ifYWDqPR82ax7pkgzTUWmMNkIr4OE4TAcRQb9+76Vff39iKNXAdq/vaTR0DLW0TBzyIrfwbv5ZZvdglN7f6r5JCTll3ebIqbHK2IYx34TtQBVO/Ae2csZSXThQF0kT5bnN9KWy1pALn/MeiONEgKa6OdaLTq10C3FLyDiUjFHqC3VbuwF+Yfs2Uvy3tuTug/RHyDd2Yl4yA0iqK0sSGhvDlLAkop9o91YB0GZrFWi7uddUgXoFg71tTYD7dKCCTF0lU7cyLoZk5SaMwWnUlgDvcsNIb1t6J2QblP4L7e/sdStev9dmVcyKr9326VptK4gIme63Hom7gnM8jUY0E/yJA3NhXMHjIuZsVoglQs40pGJlIEssr2a5tgbTFOyiIzacJDukG4gobGn3BAIJpMFL54DJOVx1OqbhOS0PnOhQewvzLtvWYbAj8JtNRshSsbp+ihEVsm0TRmCA/oyXIKe2vePN7Bqp1wDIyvy0jhyu9JhJ+UxaJ+FO3LVqdxDmqNIyexNFohkFG7JSvPyL8IgICia1ruGpcAEjWsSAkVLPLStExBq7fD+Sq+HtMDUtD+849eeeeinbifFa+PAQh7bULlH0ND5F8EPSrWrqfVTaaYuYRGndyUsgOWBKUyFJSNHCf77lOmNCLeHGqF0Kg2v9DWvdRB5k/bjt6s38mhaliZkqn/zEebVPUbozKBqnpj1KGfjuI9d580H2hAvvarwAONSHDCVid/vEIo3JzOGktZVd5sqlDnQw3Ip3k9bEA+IxcbkPwBhE/RB712c1atqFmQgqtqJ+wxmSew+uv9IuKkwLxqlynFpnEFThkT/2uL8DQLJh10yHUmJ/x8cuMpiKNmITBrS5K5seSIQmn9WLnbVN7bixDBaqoE/ynqd3ISmI4e34BQOiLL5FzTv9+bcXQapa2WfA9e7pNA2iK9QMhKW4C01K9Jq4rXx1TZARzCkV7dwGi7x1ibI0qs2mU6NCbdMLC4JiWHdrG1W7Kq9s0RFWvTloF6E6SlMAvuldXzyC/Z4DRgTKSmvz0LD9eZnAjo3acci9DguC2HZtERoOaRHozggxNOUvfy5UnhV9OPP9KL56SUgpOUFkQTpWXBZyxB08PAMwrvV749oDxPJZR/EdMX47IzMQoP6O+rnx8nAZE+/Xn3W5JHw8T40BiKB8mbOaPDHPXnp7NXySEUEYVHUfBt+WYXqDa6WFq2Oq3cJ02hulXuxvSD1ILoK5PidMXDONKDe+NLW+JIRctYhtwppcT5iOi3P4HCrmDKFo50wSQmQ8XdKFy8GYdLzrwGZh54LBSptA0mXYxOcfVrM2rVO0dU4TDuzbJVKQETArNaH9GnqZKbszJ9o2ap8CjWFwuv0hY8K05QqOHhe1M4rBsUPU1gNsXzv4jCurvLsZal+1LBlDNF+tMr0mNL0cqCzJvFNKd6BzQ05JBTCM93rLzZlKZXLGg17So0AoSbeh66pDFkzZfBeqaOIDSmpwOdTtCe61xORV6aFp3D8uUIdSWCXziMAtO/aInLm1f/3FgH1jX/LlFu/yLWT3wDJgiuJ5Baz6kGzUKYzq0UmrTibnxG4xr0fNw/S1vx88sOOEVqtFPrGy5mJYyQmqS8eQA8JQcxPXSddiZWtNwtPIqpDJsPAj20Ky9t0Y3cnC3c/bwF7OHuU6aAQhTSh8a0Nq/NAWhc56EfoskJp17hIY3wv3gMxgNa91S/FlQ25s+Q1uNfdATWRf347LF2Td+axmfj2VW+zxTjBP8imlZvDp+xtNWS3+fRTbXrbE7S2o2lrFDQXGdyzsR61hZXO49pSZZF3jyeVcOKlORgcU8mTbNqJyZIvrROhtf0yKqdOoNGU62WL4f+r2BS0+C0ONzzVELyu3g2yXR0Gvd81/vtolvkFR7C32GzxrBVZsOwIeX5bFzKyNpis1G+T2d2XMiKLsR1JvfAWiH1trQF2o+KvaaYefCsLzloqVXlx8VNK9qlp4fdljQX7pNo3mg37jqN/11yEA2X+1ZC6KaVTaZa+NF6de+uX237Vqf6xe8eeaABMS5lJNDUY1piSZ23gKnaQxveT/d62IB8Ri42IMHDEJ/SwYmoJO1Do52WSn+8Wr33ay9GmCO2JJ4bV9NCo4h26U1DJ15z4wqN2eKQRNSnblNWEtDJ8/cvWoLoeixTtBksvlnsMqWdKBjRzKqdyNEgkh5fD72A56mEWAob19ISaEWeb3kzDkx6uBcOOyFZvMID+B4eG1SN0AjsFCM9OGBX1C2Cnx1fVCsr50CpSAJZq9gLhIj0LKLs5fscu036sjOki9qWaBcO4tCYLU4zZQfAHSd6+0+//wKQVa1zoPNO3oJ2d3ppWigU/JnhAVvyQfxJS1w+guOO1oWIeNl+x/aVbjQVe03lvgX3EV8G98nzVEIxDYc4AAAgAElEQVQOfF/aUt3f26tcZ3OqZhuKVXKrSw5ZQuVh+GNwHEh69XZQJlbULcqBWrUTqD8FwbSPpOA2NIZ/yFl2n4BYlC5XrieSKjxoq8a3B6XoiXZaUiST317aqsXfG0FFNC7C4pc/h6FlHtuU0Dim4za+PSiNMh2GSg4ClTOWUER5c7oIOuKE8lXtwiHtOg3kWALCLmckLLF+bQa0wAOWWBATyWNRSTpI4Dh+dnAcKH1gDvebwZbRThRBy1anVfk+J/XXY0GYzAKaVre0zGRD67qZVMM/3I7MBV0IUY9CdDP38aNq2eo0ONqX8Gz9iwh5LNuPz09radcTSdFPxToQfPqnV7TL0XhF+hxaEF2tOP0gBTRw3JZgP2quoq9MSqPEAoP2qNHO+9bjjDNRC41hXyptRcNgXMH+yCwUXwYoPS1b69ekBcGldTOpWG3fbRYU3biYVctWpVT1DuhimG9ErRZRcNrWspCmA1ZwwpaimPorNjBl+6GnK23Bc+beKM9zFOYY4QHHtrV8H4oy1/mccj8JPQhd8Ch4jvTaYuDBCVnBJMAKpoPHOlDYlrw6qRrji+LmFd+QUfG3htFUaAqNN2OpR2MzktsTvDOrvBlL/fsfDGVcTYsDWdERW1W8Pib01Yo9cOni/rP23T6xgaUzl3FJB0lq0XPBpNPYFh+21LZvdcqzrP/qUVW/FvQi9ylTptnGNegDGFBLACc8hAl7pNd2KGUHUUAXH8aeXnjUCR8kjYh7HScSoVHsoXQq82Xw/Gq3aPOVE6bQYgNzemo77TT7FGezUYl24nyp2pkTZz7P7UUxeCk8qimWuujPW8Ck1ZdCo0YaMS9qUqi3oE13tNPJnyF4ZVyCprHsgCX02uLDjv18aYsl9utVu/QEs9lU/88fXerqz2pkmrNsNRrnhpUpgEc6i4eifY+pxe+vTUAXNKf3Jp1NFpzAs6namRPgyZvB+2ZcyUhafMmrkw80HKTshsZsoVvOfLRJpmeFw7aI7GPt1kMK1qd8PWxAPiMXG5CiVhSOG9/rkXTflW8PSLNxv9MGES/XWe1eNYIihN7ikV5bcgA8tim+3wUvzAq32mNBeE2LPo9tSsYCbUcv/bQOjY2tOa0nTHFQcp12hNWum0nV2JBQ4SHHOYqiw/j6jCRmFx8GkhE4DgS3sSEhjlfMI6D1YKwNhWjVzpzcq1g7Rsl03ShvNtW2b3VKwRhr16FYl518iW3f6lTF3ZhgeHPaMapdi7v1pCbahQaJOoSy/Za4k3gzlgj2SlstCb7zPb2gvFlLpikF2mpVgqUuZUSrEhqzxX6wuFtngmh3D+MaXMo8Nhqj+AZofmY+2qTynpvDPW/Xdqlf71f5xzT6dAECv9o3R0Cd0nbFLDoLJnEg7P92q3DQWUTlzeNeVW+HI1nec3NCnTAuZiURnYFVVbuwHqgP4aEZGrMlBC0wZ0sByMR6Ws3uer8djYe2eKze4eS90I2JSDkTp/mf+TNYD8zVoD7CuJ4GPeAcslDoPsNwvuKXp2CR+dycCg+hcSttsRy0WhcI/qQzMaJVsjdjiS2sVxfFtZtByWJqev40nmnN1pwUf96cNjAYcBBUz1MJcWXjZK1uY1Z5LLxv4UEUkMtWA0SgS5TrHGhHRf040JetSokAn81CcMJW//v3fyNggU/fIwkY67rPIvdaWugWxg1kQhjX05IHVLUL1tDUPfzp5Xo8BYMAbXfKLBROa72aRmRcQkPJxm75coQQRnqdbBtSJyM9cLNaWT0Pdx+60c2Cg0+L2oq9pjQyfLdpOUpL7KIjKMiZt8OQuPxjtlhyFx7FOq3bCFoiXezq12ha4jFw2ktbHhSxB+awnwbmbLF7pqVqw0o4FSqlJEw1cNwW4w/XWfxZvhNsRKm9KOp3qHzUQZBKxGbS9URSrf56vxiLUE9HK+bwEPZTalXcJwAcuU8BxSZVtrLJVAUvzMoEiu5ktHGuX5sRDr5xGYYX1dsxkWaKNTWHDANkE9iwMqWC46CbRvpgBsGQyuJurMPAnDbKOGkKfZUUN38SVKbguC3J7LF2rYMZtx+guTJTh1TH0Bj2oNotWXGIrGyC2Lrn+01itet6HJTIhhUp5T6BZo/Tuqs/qwEIpyeYnCSW7wNA5LFMsYSlpS51XUy2r9plSjAwhe0lBzFNy5/BNJ97HwtuUtsIglGorxSa/rpNmHJX70CQous09tR7d/2oAc7nVM1WULPppkXre+o52OAwRDU0agvt+befPCIOhTyDXU8kBYQrmLQlF0vcxHptyVfh/aFZAsEfj2ZGcK8jNS48BOCTjpV/+k/BpA4rvJ7GuaAnfd4smq+27zaD5rv74QTk07weNiCfkYsNSMnORUe03OOEcBGRp5sQ7e7yj9kyvSjuRpNQuzkrqdsNK1KqsSEBd6p+nWSuRYe1m2EtStefyEvTcLHIWuLYVHLIsfZ0n8TfJTfXl3Y4wuEhPcI/ikLGnwD/v7TFUnM/2qAKphwuqU/rWHwpbGR5z82BbvDcnFA83KcwXWGOAg8tpRT0GJ0oGNyn0Bw0vj2IgkBbA9KppHaLI37lz2Y+gn/REpFxeAjfhz7udKQpfnkKqdNnUVQYlzPgG+/MqZWVc7A21kK7hhUpVbkbTZ0/AcrLqvLjgt7SzrBuIw5I9wlTrahblIOO9CvjCihOpS2WTG+IzlftBHWrekdOuU6jCN7/7VaxnqR7SslBhy5U3gwk15fGfSe1iXS8wqO2OFbROSk0gs2e2S4MgAoP2qJ3oLixYAqH96qyWdgP9+nve3tRGUtZcZy584sIiuALWWVczohgv3I3DiZSS0gV8WoksuQQ1heLndCYLTbOkV58PvKFi1+eUu4T9+mIZnFYURyefwz/m40aramf+HmluMDNfLRJuNMUUtdugQC2Yo8p7xKzQ+rXgMLjzQBhrN6eE2TRq6eR3gzeoeA4UEPSw5ig7rFNEfE3vj2oguMQaPtSaDKZA+CxnQwf9ylMHKp2wcq07IAlRhHUBPkTmi4yjQOfoXeuM3gOrptJtbwxqYZ+sAOBmS9Nq5ptOeV5KqGq3xj9s32qejtAkUeLpsWmm9MoWvySfsmpQNUuU1Ka6R7Ghq6421Lf/83fgaKh7XDFCrjPFn0DqVh08qncbYouLTiu3dc0rTMwhwK4tAV7YP4xrSM4l1O1m4HAus6C5mVcTavq7bAVp86gYBKfubEBFtPMq+HELtKjHeeO2rLGGcColFI9329SFXtMTB+0LbU/aUmuBJsi6u9KDqFAY34JMyri66G5cp3JSU5TwaSTpVCzNafWeIZkDRRM4bOyKSFaHGu3ZFpAcKdytykFKJF0XwYAhWS9zGENu85gPVB0z1yl/OePiwsh7VlLDgEgKe7GHu5fdPR3FXtMOaeUUir6yqQ0g66bSeV+MiH25a6bSXFO4/2nEUThUWe6zHDZ3MePCjjkPgX7YtdpHUapHdWiXfoZ7MHZGvjSHJpC7VhnLGVFP1kwhc9JrWL+MVinh4dsMZ7ghE6YApq2RH1i5W5TqLYUjrtPwRAj/xjuff7zxyVri+ucABSvsgOWGvrBDmgwjuFn0eXKm7OECthYn4DpAoOCOyx5H6k3IpCzbFVKnPWolyxvxiS5sSGhXI+nBIwh0GJcS6u17/ahDtEujbSLpk6GtUnJQdQiDLR0nzTF6YznqzdrqdX5YwA7NO079OUZ9bVfBVTREbzDfDYFk3DAi6/HRI2ayaKDDxuQT/N62IB8Ri7JAelKAq18IomiXQf/UAcR3wAxHQtI95OYmBg3UoLK0nlkRc2C8Fnj62C56no8BZvZA5Zq+26zpBfLyFNrDXgI50/j75Pb6804NoFlBzTff84p7CnQDMxi42AhHmt3RNvBCedAyJvXabcntKuRPnirt6NYiLVbYhHIq3ZLVix3GcpnLGUlvIt5Fa4zOdGvlO9D80BEz3U2J3z44IQtvvPenCWCVGoj6r96FBv3y1OS1l388pRQDbjZciMubzZFe+BPWpJCHx6yRXgd35CBt/8QNtK6TeAs9324W8U3ZFR5s1NUr3rnCA6qGVvE2x6N0Ja2WIKWhgcci8vQqLZU1NQ8mhHkLWCi5M05hgWxNiBoFa+PieA/77k5VbMVAmY2waSmlLaiWIlvAApNni8/U95zcyowa0sx1RhfhONTGxDWmm05oSkV9Wt7yyO4V2UH8LOLDzvp5rR59Nim2IQybJOOTXSkIlpJqh0nPQ1fGxLBc2AW1BSllLp31y9ucpEeW5pHHuCNDQn42Zs4dJP/sFY0Qv6kJYhhZRMaCFJ9QmO2ZJd4TDSenPIwODI0AjQ8NGpL+jDRayKybLCpR/DmnKDQij1oJmg3ymne1Z/VKPct0DD8z86L9qv0tQm1/r1euK1pcXrxy1OqYg8oZ8tWaV3YOUxzwkN/rgEpOoJ7RMvRf/r9F0CPS+I99WYdmkn1djTJVTsBWLhOm+K2RRS7tNWZZhLM4DtlXEdDwekf8wY8TyWUx4ZWqPDFY7KvsAHi1LOyyRT7U+5RLODzFiwJSavZlhNtRqzdydhgzlFozEm2Lz5sSahmwaSjN+DzV0oJx5+5CsymKDsAIIEuR4EvzUnDmDdvi7lAY3xR3IZoBV2520QBfJ9DX6zDEkqMaE4uZ1R8PQw0aLdMOiIBDhbZ9+76lescdEj1Xz0q71rNtpxqWAktBBuw0hbQR/OfP45pzoye1GgxtHFFm2X02BKwV3zYElS/4IVZVf3GKHQMg1hX+TO2avl2i6yD2jdHhC4UvDML++mUBshOQbNXfBh7VWAO2ibPUwmhRRHlJx124MOdqmw/pu3RVyYFWOHUpOiInlB9eQZnpz4/Sw5Z4sTkvb2o1r7bJ1SiwJcAkvmemRcgjVOFJ35e+UBQX+GLx1T0lUkJ3GQiuD+BiTlpgPfu+p08nYsAZ4wbKXnnirtBp6J+xLiYFRqY9eOVyn0L01Xul/nHcB/8SaxVWs/zMzBkNDgOpgXvf2DOFivgwmGc940NCWVcggFBrANaU9oH37vrB6DRZ4vlv/uUKZNJhqhSQxTtxH7kzTmAJade3ixChO/d9atd77erN3+VD4OOp9CUGlfTQje7d9evlq0CMOGdediAfJrXwwbkM3KxAXElFiEum8NmWXYAfEzmMpAiEJgDclv1xqhaVTYrPunlzZomk3SQ7/h6ICY88DyWqerXAgWs3YwAp/xjOMRqt+BQ9j29oGLt4Aa3fbdZFQ7bKv3xatgOHsfvLjloCRpVckhnlmwA9YIc4Egv0EfachYeReFEa18iWgwLK21FEBsbAvKdKRpWSokVK1PVA8dt1fRBm1hahsa0SE/z1enpHu20hOJBWk3VzpwU6Pzv0S4UO+EBCKBZRNJeMTCHzb7sgEa+bFNG5LF2FEK+lCUJ9nQxYeFXvg+NoC9lidCPWoq8eTR+PBSqdoJKRmvK8CCKj/wZLbJ+Zl6FRoAA+jIoHpRSKvLStPInsNH/yx++qBrrE8p1Dinn/iQOZdfZnLgAxdp1PoQOrSxtsSRYLm8eh3X+ND5D3UYHNYv02JL9UrYfyODwD7dLQnPD14aEekOqkzcL5I/TMAo6eTCVN+N/R1+ZlOfAA5eItuscJkmkFpHG8fPfPSJuZd4shMjRTkuKipqtoNuU7deNmk5xJn+ZeR9EhSubTBFpVzahmA6Nwvyh5KAl9MbwEH4Oxav05PcncR/Iryen330CAt3AHNYTC6HgBN6X6Y8eQ/F9ElbFDStS0ty6zmEa5zGBukY7LfW1XwWQO3A5I2YADHKr2GsKH55BcqQ+CE2IInDdXK18e0DVbsn+2T4Va0fBXXTEFlpJrB1Nbd68LZkEDMsj1cz9ZEKmX67TptiuFkza0kBUNoH+xfTt0Ki2czb13tfi0EFomR3ttET0X/DCrLhOCU1JT5mK+h0bV6bDFw7jO9Dmlw16yauTaHQ1Ukv0vXyftgfuQJPMTI7iw3of+tKcUgo5RdL8a81ReMCWPZeC2rwF0I2KD6ModJ/C96/cDQpj8M4sJpOXQV999ZeFCJ+sXZD3gPstJwGcyFY2AbSp2GOKlirSg/XTsBLNLsP4jItZsbKNr4eToPysm9B40NWvZhumgN3f24ucDE3Xc58wRW/IfJqKvaZoPphLsrwxqSp3o1EreXVSuc7n1LLVadH/eSxHrG4sQfcVHkTBX3jUFj0BHeTu3fWrJ35eKbkoTFIPjdniXuex0BRwvfOz5k/bcp9j7dB3cYJechBaSvethLy/dIrzpRy7ZtdpvVd14V50f28vnvmWrAToeW4viqlGebOpJv7XFtWwAgGaxmVM3nxprX0YcbQpvCr2mir84jERmocHcb4Fx/Gz2aCVtlpi5JE/jXOEeknmDhUdsdX693pV4TD2lsrd+Pz+hKb7aee84J1Z2XsZNkgnxfCALRSrWJt+ty5nhPod35BR/mfnsQbHcF7lLeiskGtpqRmKu50spcrd0BH50o4GjEJ7f8IJlOSkjmGnpc8PPGxAPsXrYQPyGblEhN4N4WlwwgkB8mYt0QQU9dtiFRkadYpSUlMivbYEpRk3UpgAvD6marblZDoRGkPhxwK6Yq+p/M/Oq/hbw6psv3ZA0pSIgQ93wpN+zpZD0vfMvLjylLw6qXxpnTdyyhRHJqLTBZOOJSmbkfJmoHy+DDaTghdm1b27ftFE3LvrV5FeIC4stBkcp5SSzah+Tdop6ileH3LcNYh8rs4fU+XNpoy8q3aiEOIEhveRDh6Vu7W/+YimrB1DQdkYXwRC/uy82IiGB5ygOLq5lDebD4QJ+hfh3U6nqLpNKMJibY7GINqpJ1GjthQhROkq9uAQ7fzePpW3gEKaVCzeo/wZW4LolFIIZUui+HOdRXAUs1eIgv3nH73i3MLEcxajlU1ABPs+3K1KW1EcMLmc6euuszlxWqGIn8m19KWnOxIL+tJWHB6uswh+9NhOcFbBJJrj/GP43iWHUNi6zgOhJh/edQYIbM22nDhbBe/MYhJ2KaPWv9cLu8mzOZni0Ie/9s0RcQJTSok9tD+B8Kz8Gdz/aCcKIAr/vVkctEVHMIkkRaRmG1D+ZavTEtDoPmGKTsZ1DgUWEWNS3iK9mjd+2pSQS9c5RzflPoGJUnjAKdCJYrMBmPvRBnk3PCYQxMomU7QudRshkK/dkhUPfl8aB/vqr/cr4wYcuO7d9avAnNaW3UyKxSrv0f1X4VEUrMtWp+VzBeZsoZcxE2JF3aJoLnwpPSXQxU7gOO5j7Zas5MpQuMu9g5lBjW8PwuxgzHZok6RzzgI0cJ/EtDO+AbQ+0jvpJFU4jPfXlwKwkvfcnGitONl1nclJ8Ve7JSsi4cAcCv5lq9MSDFswiXdy6Ac7lOs8JmD3h6UWTCHhvmqXKVO/sv3aUeuIkwVU2gJEODCL++jNOt+zbhO0RsyoIXgT68A6peED8304QWJqtut8Thq0+jVpMTMhZfd+akvZAUuotmKfncZn86UtmSQ2fdCmSlsBuBT12+J65M044myPCcogzRMoyM9bwM+JvjKp/AnsUa6zOfX7Tx6RAt71RBLaIW2useqdI9KcUb9hXM4I7YnfkVk+1dvxrrluJgHCabSdWjZm/XhsvHNv/iofovpn58WW3n0Caz80qgG5zcgfKtAOZtQeFL88peo2ZSX0UPQ9lzOi1eMaKzloYbo84oT95h+zxWWMBXl5sykmIR7T0YDkLVhixW1cwLkca7PECIQsAcmuOmRJQ0Nnq/J9JqYdvU7GlHEhKxpHNqDUkPkTaI6YrVTaiufDe167GXuJ7+kFgEPPH1fxdRkx/Agct0XMz7091gaAzJcGc8P1eEocDAuHsa/SuCPWgTOTwN+K2gVMpLKWWG3nT9vKP/LQhvfTvB42IJ+RS2x4jySR8KmFtzVbc2JnGOnBJnfuJ8uUsQRxb3gAB4b39qJMOAqP4gBr+XYLDpIEDj+O7X0ZS+hRDKxyPQ4KV2DOFqEng5TouhMesNXKyjkU0wcsCYliYUXEh3abLLJiHZYUSkSKGPQVHkQBS1tXckR3vd+u/It6QmBhw+HFyQlTgOmK8YPf/i0cci5lpDHwWKAuMDiKfvjxdRmhTpDOU9yNDZ1OO9xsWShyYyc9jTqDSJ8tSLjrrEamnkqohpUpQcA8likWoPF1EHIyCXv5cjhD0XmF9zDSq8OfjuPwpINUxR5T7EILJjFxCI06dsdKKbgU9TpC1apduIfLVqcF/WIGBJ8taQC0nO3+3l6hrTR90CaOOYXDQCRJuRj6wQ6hWjCoMjhuSyNtXMyqr/wyqIITKEw5kSrbj4aQac/hQQgwOdWiUwpF8xSA+9J4HpVNsP/c8s0uoQ9GetCY+BPgetPG1nU2p1w3Yf3rvpVQ277VqZRS4sVf1G8L77lsvyVp3BL8pjnd5ftwD31pfHZSoNwn8P/RtjTWhu9AQSWtmsNDznP0mE5wIIsemkgQBQ0P6uTlYSdp2XUzKcYF9+76YXN5HRa15HEza2Dgw53QomgetnEZ7xnf88omU8TxO97vwN8fxe+4P/yTV+1mpHOHh4C+8x6xUYp1WJL8XXYAhWSszXEMIyWOQXoM4KTDD9dPYFa70I3Z4iBF+1v3SUwKwkO6MNSTV9fjKXkPGNrpzaLoDQ8ANa7dklWlrfjz4UG8m8blzAOTIddprBl/wplaNaxMyX5LTZIvbYlVM3NPlFJCf/WlcR+8GYdWV/XGqJgF1G1EI0mnv8Cc/UCQKsMOXaexr0R6tXB+xqHzlL42oawfr1SumzBgYEJ7z/ebZO9kOva9u344IO0zJYX60eJp5X8W2UO1m7PKuAhdEGl/9+76Edy5YD1gLBCc0NlSTy+ItsW4BDSf+6A/aYmuxvf0AihcM3j/lEKjVrPNceMLjaLRim/IyHejbbdP6+cqm0wxMqGOwn0rAYqUfk9oAR4cd2ygOc0SlP8sfgabhdIWPKNff/IIDBquZMTxkNMTroXKJky2SlswNQkP6rNGUy1JjybFiJS10lY9KZt1wk2DEwBN3CdhS91Yn5A0cF7uWwlVfBjOdVybxlW4VLnO5WQNuk+ayvf0gtCgOJmmU2Dt5iwaxCWYp9RuzopRCRt11zkwB2JtlpilML/HWIIxTdERfL+abTmxRHadR2gwzUfCA3qypt3Yyvbj+eY9N6eMC1nRRFW9MSpmAYHjAGZWvXNE7P8LpnS+V7+20x91wAfXzeRDDcinfD1sQD4j1/02vKtKZjE+HdR0qTVptaJmAXaPOp3UfQobMQXVRMB8GaASgTlbuN8SGKU94CkqjvTYMjGoX5MW/n7ZAYjUirstKXTy5m1J5o61A1VzPZ6S35u3gAIj9/GjcFvJOOgenZ4oWjWuZFTDipQ6/ZPl0D6QB7+UVevf61UVr49JLkiswxLRHi+ift//zd85yLlpScquN4fCoPAomrHCYRxErptJceIKzDri4ZKD+B3Ue7hPAE1aUbcoegHmGpCGUzjs5E5Q9OmxTJmCxNqBWgVmcTBQg8Cmg1OPmq05odblzdtiIkB/9/j6jGQlkCbizeGAqNqZE2SQRSTzUpo+aJMmkQLg8AAaUwo7Q6M62C5jiaOScRVOQKu/3i8Wzcb1tOr+3l4V6UWhQMSfE48t3+ySsCv3KRx2Rf2gX0X6bLE/Do7jnrqeAOffm0OhX3YA1Cla6XosU6yKKXAOjaEIqNoFY4XgnVlMtDRlwqupCEX94I/TnS0wi/XNYvXeXT8cXs6CqlZyCOu5fJ8prjZFR1Cg0w/f/+y8HNAVeyEi5bqPr88IH5maoPCgDirbnFWuJ5IQnWuaRcEU1nnec7CHLjqiKVLNKB7CLx6DC1PWsSIlgsxnwJBBz1MJ1fj2oPrKL4Oqfk1aioOqN0ZV9Q747XOysvCj9cgNaUWxQnSbdLrpjx5TDV8bAiVIa7LWv9f7Z/uUWHhTsNyhxbd7cF8YHho4rpte7YbHyaDrDMwD4usyknDNd5iFDb9/pNdWH/zGJQLnql2mJNkbF9CM1myD2UTxYUsmgtEuSwr4ir06WPWNUUHGS1vws+LrM0Biz6Bo9i9iGhjpsyVLKdZhiftbYFYXr9qZrDG+KCFuVbvgIqgUdDLGBSfMNdKHvYbuR0TMjYtZQfBp35y3YIkdseuMDk89jnebtNGy/Xj3ycsXUfYxR2MX35BRoRFbGkpf2gk5pIaP2THeHJq0/BnsP5yC8vxpWAH7VYIatVuyUuCHRrDWS16dVCUH0WzF3xqWZjM8aKu17/ZBCD3qOB0qpVT9Wrw7zCryZrRQXRussCGPdTiujxTue28vCrWLgnf3KbgB3rvrV//3H/5W9Xy/ST32jW518scrROgcGtGTkEHnswdmMR0KjeJsqtiLfZz3zn0S0yfXeZy3FXudKSPBBWoRA8dxhnhzEI6HhwAYeTN4fyt34/7ybKFJh+ucEwRJbQsv9ylTwj/9CZzbZfvxZwsm8bn4+w9+5wDqg1sJCZv12KZMI+o2oolI/sNaCch1nzBhCDBsS9YYHTSLux1zgfxpfUZcyUhGCr+7cS0teSPhQbAuOPn0WKCreXMaCG3WzmP9WEPuk2AM5C1YknO1om4R766+P6FRW8CBuk1ZFbwzi2Dc1OLDBuRTvB42IJ+Riw2IbzypjGtpSXhu+26zinWgIYj0aPTlSgZOQhdQTJYdsCRYivQA180k/OM1ram0xRIeOxEkckJp6UgXGdK0arblJEGVln4lB7ER1W7Oio2g+wToThWvjwmnONJni/CYVAdy8Ym+FvU7mQE120CXoY94yauTqmDKcUiq2erY8NLNhNZ8sQ6gu6Ut2mloAsnxdFOJdmJDo5sHPfAr9mIj5GEXHkIjU95simUiU7WjnVrI32SqV39ZqOLrsPnzGZCfXziMw8y4CCoaqSrBO7Pi8hNrx+HBJiXWZqmVlXPS8FXuNuVwoKMQrUnLDmhEb9pB0MZ0SEEAACAASURBVI3LGZlyMS+F6HnD14aU+xSoTu4TKCaoTSAyy3R1BiW6Hk+p4AQsNIuOQJtAmk54CJbGLKJKX5tQRf22NB5segombVX+lXHlS1sinDeuZJTv6QUR9Za2WpJc7j4FnnN5s+PYFLwzK0JPSfF9IqmMyxjNe0ysSwq//YuW5G1QRHrvrl+obSwQyg5Yom8ITtjiphQasVX8rWHly0AoW9qKd4rc8drNKCpdT4BGETgO8XhgzqFWGRfxXgYnUETXr4EVbuFRrAVfCvQHUseWrQbVZ0XNAugp+oCOdmnU9xz+rOscLEBLDlri/BWcwIHszYKvzqkANVaRHtwTTk4KphzhfNVOFFNVuzAxcZ3LSTZCYA5rbss3u/5sn2JQncc2xQmocrdTKISHcB9KDlnq2X8sUSWvTqKx6MBn/Movg7iH52AZGl+fkcBKhjNG+nRwpRYbU+dReFQ7Q11Pw+3spCm5E3T5KZh0aIREm+lYxaJZEu/1hKNijynibtpq+5NaBK+LZpoyFEzaQlekBXW0S9PB9JTWlwY6zAaGgm+655UdwDPx5ixpJoPj+M/4uoxYDgdmHeF8eMAWCmVgzhYns7IDlqDgNPyI9OJ99GZxbrAxpnth3UY0g1U7oYdyncf7Fe1yggzZqDKLIzDrZDx5TBS1/HlVO3Mikq7aCfpuw8qUTGp5NrFBpL4h2mk9UCDHN2AS4LGhgfPeXkTjeF+OBNfX8A+3Y1rzRFLVbnYma5xc8Z+K18ekUI51WEIRunfXL1pKX8qhI/tS2EeZbF8wZcvUt3AYP6dwGOubFsseS09Zz+ceMDAg0EHL2pptOWlsaac+/dFjoKZ1YV93nXGc2HiRvUAti/XjlWI1TYOWij2wbC94YVZMCdq+2yxTNWYDebOW2vv3B8Wwoviwzu5YxF4V7bTEUa9mK+67fxHvac22nGidKptMAWr4Odj003Z9dd4ImpjD1gN6saqdOYkVCA/inSaoWDAJR7v4W8NSS9RsRdNectBypseWqdxPJlRhx0MK1qd5PWxAPiMXG5C/uwj3D28OG0OsDRu4P2EJau3NolB1nTYfQMBq3xyB+5RGh+j5z2K1fi2KZl8atJ+8Bcd+ke5Ma9/tw5h6Fgf/0A924ADosMT28P7C1biYlQOCGxKbk/CgLQ5LTCiu2AMqkHEtrR77RreKvDSNn3EevO1Ymx71t1kPuKoYFxw+Op2tivqdBoOCR9e5nPr3PxiY+OjDlnzZmq0I96KrUmUTDmnXE0kpKGg9WPraBKYC2ga2fB8OjkiftrDU4YDF3Zb6xe8ekUAyjsY58idfN3DcFncW/7Pz6urPagTVj/TgoI/02GrH+x1C1zCWsurWz8slVM24DicQNgrVO3Jio8kGwPU43FOe/ccSbPKjtlBqiKYbF7KSBEzqTGgUh+u9u35VtykrdqssYKt2mVJsM7Ar0nvftOGIraY/ekwFJ2wJSgwP4tANjeB7E8XzpXCwV7w+pmq25sTKNTDrhHoxcKxwGM0ki5jQmC00OUmRH8XnpFtS9RujCNx6Zl6ak/JmUxW/PCUWsLF2NGrBO7OqfJ8pWRIVr49J/gjFy/fu+lX+NJBC1+MpmVjVbNM8au1NX7MNhgH37vqlCK94fUzeg9AIJkzUWVEPRG2L9zZ0E93f2yuJzaFRTDxIETz4nQPK/+y86KSMpayEjJGKSd43ufp58yjaAsed1PbyZlO0JqERW0IqSQEMjdlCKbr/IrebzWPeAtb2bz95RISly1anJZSQKdR0kaJOoWAS64CFOp3jmIEi4X+D2mZ4c1Y11ifkvSbVLDyop5K7YGkdHnIoodVvjApVqW5TVprEXe+3K9d56KyYb0EBsC+NveHR6DHk+Qxqitf6jDQqsTa8fw0rU2J3ztwRpZQKjWhxs9bAVew1xZ0oPIT9m3k4pKt4LKD3oRHneZe2aCvoU6a4BhlXMmKhO/bDrRDk6iwb41pa6EAFk7bozkgx5bnhvpUQ+o/HtCTcs6gfn402zr5nsM74DL1ZS3436TAFUxq8upFyikptIEA76uJu7fJ3GXqrkoN492jvXtQPSmfFXlOtfbdPuU+Y8l6TevMPv/0bAYi4BviZSg7iu0U78TlIkd32rU5MYV+aVuEBUCyD45pOZ1pCbxSLdQ0cFPXrwMwuS1whI722WCcTeGJ4JxsGYykrLmt0nKI9L4EMvqcFk451vhg53EgJSHZ/A8IzJzBniw2v+5QpmhA2tKFRPDePiSKfU0UCV4VHdYCgbsQLj9qSR8XnxD3dm8Ezo+lCaSuapLqNWZn+kmZd2mKJyYZxMSuBrEX9tkzMjAuYpNM5jRrW/BmsdVK9ae3sT+p/14c1RuoV90M2t0WtDylYn+b1sAH5jFxsQArbk0KzcJ8Cx50c0vhbwyi6tFtE0RFbQq9WVs+r2s1ZNfDhToS7vTopG218Q0YO9vJmUwoHOniwiaBzVsEkNgZvRvPWB2zV9+Fu5XkqIRQsityXrUrJnyE3uLQVRRSnMdXbc+rR2IzypR0Ei37p5ftMSbh1nUcxmj9jyyHkPmkKBYUXkVfSBoxLGbFP/ei3X4Q98SlMge7PKKFugwU8k9mrt+ckVC00aot7FNE57+1FEeGT780/U78mDZRL2/qW7UczVLULk6rwEA6zwBxyMHwpCPCY8BvtBOpGBInCXmoR7t31y8Zdth8HjXE9DfeeWwkRGBLNYsI3g+wqd5vyfL05h0fNApmFsC+FQiQ8pEPPdFPhsTBhMK5kVMELs7BofPGYcKILJnUAoabShMZQFJDjXDjsOKzw0FhRtyiFF+loq945IinRwXHc48YGPBvjUkZsN1lgRrss0bWwQGBwW6xDC1qvoBmIr8/Ic2FjXbEHKCwnSyUHLbGSDY5jvRRM4R7yPkX6bHF5KW821cKP1ivjUkbc6gqmdEE/iiasdnNWEsq9GS2e3JkTZzT3SVMyBRhm6bFNSfOu3oHJUPUbo6puIwq48IvHYLd6NS2aq9IW6J9W/1/dkulS+OIxcYspbcW6YDNWvwY6oOC4LdMbis8JJKx9t081rEj92T7FyULZflA9xVb4elq5T5gSjMr95tHiabgy6XVISia1GsFxrDHuSyw2SJ0s2493dXljUoVGbOHq813x3F4E4n8S73b+MTQe5Phz8mHcgJsUqaB585pOeA7rq7TFUqd/shygyiUAK7TR5Rq5d9cP16tu0Ev9i5Zw6yt3m9KAUOMUGtET3AVLFb88pSqbTLH55VoqO2CJ/m1F3aIk2dOJihRE40pGaEbUPkV6YfVKq1pa0RoXsmrH+x3qvV97xQo62oXJputsToI+yf1nM1fwwqyIycNDuE/x9Tg7aOgggnHtPEdqIxsfb9aS4EDjWloaNNdZNLexDjRuSinYJvfgnDEuQcAc60BBbFzJqFXvHFElhxwqbWgUxgv8d75n5pWxBApv7RZok9xPJmSPLzyKz8pnwFRwj2XKFDRvAe9l7eas5PVwsli/NiOU0MCsLZON+Ho0gaWvTcAQ4Sk0dMXdTuJ93UYU4sYSinjqiyr2mJJY7rm9iLXcoy2rtTMZ81d4BcdtyTgp7rZkOlowaatVJY7zG0XjVbtM9eav8lWsA+d5xetjyrgIoCTy0rQ0jvfu+tVj3+hWlbtB/zQuZWS/o12y7+kFZVzISvho4VGHslZy0LGAr9mGPY5AZqwNYEjVzpy4ixlLWWlK1r7bh2n4CMJGw0P4Lu5TyAWjHiV/xpls0XWrvNkUl8mHFKxP93rYgHxGLjYg/tEkwqe001NxN4o/CqMLh231/d/8neRCBCeA2r3za786+J0DakXdohQ8RKC9+pBmmBUPCQa/xTrwMnPkmrdgwYFEc8FjbfgMHtvZyDke9eYcFIvZAZGXpkWsTaqAx8Qh41/Um3SfrXq+36T8CUulP14tuhU6wcTXIQuEo/Lff/KI3CsKQRtWQgtQvyat5n60Qa19t0+scn1pZyP3Jx3fd5kGffWo+NTTklG+i9YfeLMo3BgqR2vHsv2YJgXmMLFgIKDr8RQO68dTSOTVlJ3KJlP9yx++iO+1PvOAbz895Gm1XLcpK375dMgKjaAgL+4G5Yo2kx7T+TPFhy1xQ1MKzim0T/z3PxjKuJIR169oJwpI40IW3OB5HCiRPvyewhePgf6Uwv0pbbXEJSx/xlbP/yIqtr1hXehSS1Ny0JI8l+AE0EbfM/PSaJXvg7aA3GVmtLhuJmFHqxuE8n2gG/iTmNI0rEhh7eqsESJ5LCBXf70f0yaNLqY/Xq0q9poyHSs+jJ9JnQ01Rad/slyaE47/b/28XKhxROeDd2ZB2dDJ3/ENoIGRohIe0OYQ19IyMSTy7LHx/YwbKbW8ManyZxxr3PwZrRU5bYqoOdJrq3d+7VcXflqvPLcXVcPXhkT/QtoXXYiqdoGW9dg3ulHYXE0LqnnnFxFZh+5T+O7GEoSokV5Q6dg8Fh0BMs4MguLDlsp9/Oif7VOxNkv1fbhbeW8vCm3x3E+WCUUqOG6L/aY3i2ceGrUlbX39e72wEp92rDi9Gac4JoJcvs8JZmSzSXc65gGwsC5t1Q5LmtLDqUzNNtArl61OS/NVtROakUdjM2i2d+bU2A+3YvLzwqxw/D2mJdMpTm38z87DAU47nhFlplkE1xT1LgWTthhfBI7r4vf2ovrObwzluplUNdtyqu27zaKhyZu/L3BvGmskNKb1NBRZH3WaMmr4lq3CZLLsgKaiapQ+1m5JCG1g1hZB8G8/eUSoX/VrM3I2hEac32ksZUV/wWa4YNJWF35aL/bcpa9NqGWr02r5coSl0nSjfB8m3JFeW0T2BEhqt0CLqJQSB7yiIyieq98YFVCCE8P7abnM6oh2aWDmAho/Wh7zfaS5RtUuU4T8tI+nADrW4UxhCeoE5vD96zZi8kwBd8PKlNA63U8m1GPf6FbhAW27rR3bmKXjuomJSOSlaZkkcqIQHtTZKzeTqmKPqeJvDSvX+Zxq+XaLKjyKHBE6/t0/fXQ/mYC2Rk/hYm2W2F1Ta8bcm2gXgKn8GVutqpiT9Vx0xFY//90jynUzqeZ+tEFCFwOztjhv0f7ZfcJ8gILnT+oE9xuggcc6AD4yayRvwWmqOb2mEyENJ/wJbdGvmQ3erCWNTO7jR3HeZiz5/f6kJVbMNVtBey3uxjOkTshjmypy4OEE5NO8HjYg/4fr3XffVRs2bFBf+MIX1Oc+9zl1586dB/7/AwcOqM997nMP/FNZWfnAn/mP//gP1dvbq/76r/9a/dVf/ZXauHGj+uSTTx74M//yL/+i9u3bpz7/+c+rz3/+82rfvn3qX//1X//Hn/NPJyCFw7akihtXMpIXUP/Vowj0GkJRblxPy3jWdRYc1OCdWbEEZPJtyauTcojTxpLccLpc5T03pyJ9tiM20+mtxo2UcHt5oBQdsQXRZHBc/Zq08ONZ8DJ4jELS6h052eBY8LhPmOqxb3SL1oJpxrQX9NxeVP6kMwGh9V9pKwppjnOrdpnq4HcOqLwFS439cCuKtGtpCEd1ACOTwMMDOHCJbCf/Ya3yZiw5MGq2OrzW8mZTTX/0mHKfNFXVG6MinA7emRWnEbrYcPIQ35BRjW8PqsAsGi3JIzhyn/6BdJQp8Hpdp0240ugNf9kqjOQrd4PrTr1EtBMbcd6CbgxegGe7+8mEqnh9TCkFdyeiZPnHcMiUHIJeZNmqlKreDr2A6zyKjNAofp7HxgHMv0cRM524ol0o/ov6bdX49qAylmDJSj5vySGYAzBHoOCFWeQvaEFjfF1GqALkpRtLGgnNOVQK1+NI6i08igM29/GjqnZLFsFjxx3bzuC4Do3UjaTrnE5avwi7SuoL6OASmLUlp0YpJdOO0Ajukescmvf6rx5F8NugLYJUcu7LDuBQr96u0cKXp0CHupFSkV5Nh2rXuoxtmAaUHNL2lPr3u0/BkYoTtvo1aWmejSsZ5b6VUEX9yBtpbEhIOGhoBO/pvbt+cfTxPzsvTkN07AlO2Cr84jHlT1qiHfAnLBGj+tKa4qMnHqSUxNpAcfHcXnyA9sgrOI5mkMVLfENGQvyMC1kVeWlaBe/Mgp5xX0YMC7tHo8dU2X7ci6J+x/KV2T0MMWVwHw0PBDzQmTnFhy1p9Lj2yvZrgX3SCd3LW3Aafdf5nGh+woO2FDF08or04bu5zudUfF1GBO9soqp2IsOHmQ7hQaxfUvVILWLqN0EkajLo3kbKKV3VfM/Mq7pNWSnIjetp5ToHMIhaIhqNRHrwmThdjvQ60yvqXYiUu0+aQndks2pcwHvgyzhCdv4OJr/TdY50LOoPK/ai0KfI/95dvyqYAqhC2/KKPaYETRqXM9C6dWhb1yUUyq5z0PNxz67aZUqRnjeP++pLWZINVd6MydH+b7civXwaNriFw7b6yi+DKtKjE+B7nODCO7+IQOeWs9R//NEDoXUnkPqiI472kMYu0x89JlSswmHsL7VbsqJdK+62RCtSOKyF30ncYwaf0oVOKLXagCO+LiP7CmmApS2WavqgTRX1Y2KXf0xPngawJqt2OprHvHnHYEAswzUdOzRmy1QuMGsLHS9wXAMo046hhutcToW+PAPN3klo7sIDeB4lBy3VsCIldvaxdnw3NgcFU1p3dmdWGdegjfJp04DIS9OY3GiTC4Z3Miuk4vUx5Utb4tDpMbFG+z7cDY2NnpiXN5tq/7dblecphB3S0bJqZ04cv1xnc5I35U9YqnrV3MMG5FO8HjYg/4frtddeU1NTU+r555//bxuQNWvWqLt378o///zP//zAn+nq6lJf/OIX1VtvvaU+/PBDtXz5clVcXKz+67/+S/7MmjVrVDgcVu+//756//33VTgcVhs2bPgff042IKU7F8Xbm+F15Ou++stClf/8cdWwEoVpaaslh7axhPE2gwarduGQofB0+qPHlHENonBSYUoO4c+z4PQ9vaA8TyWETkG3pcBxh4rjsTXK8mRCNm9u5ByRMnCI1Bg64xT1A3EzrqbFNaj2zRHYAmp3F3LuJdH4mK0WfrRenFOUUsp1DoVExR7tF34BkxdagBpXoX2JdqEQ8WYsEcr6Fy3J36hfk1bx9bDgzJ/RYn7NUS47gGK95CAQQNfZnIy/Xee0+PNmUqYTxpWMuJMIL1tnmRRoC1n/Iu4NDy6mv5MSVfrahAie2WSSQ5t/zBYdRN4CdDVsUOjOFenBZq4UdDJEydmAhYcwynY/mUBAlBbNGxeykqxNe+fyfSigaKdLuk9gDkh5wwrw3/ksvLqwNW6kHhBmPvaNblW7OSsHf8UeTbd5YRZUq6cXVN6CJXSFkoOW5NjUbM0JZSI0itTk4Djeh+odGM8bS0Cp3adMsf1l42BcRgDn8uWwFeXh7DqNQkoppVbULIDSMYz3INqF5q9+TVqd+8kyVdSPZ1fagsK8Yi+KuminJRSr6CtwSWP4GIsQ39MLKBiSeJcZ8mlcRDidZDNMO1NCf8Kx5a14fQyp0OO6wD7gWNxW7MH7H5wAKFG+zxRRdlE/CpPyr4xLxoj7VkIyacIDMBao2eoIz0sOYcpQdgCpy/kztjiq3X95bi8KPdS4nhY6FZ1svDlLdBnGRdw3uqmRXlLyKlKpOWkhX77k1Ulou444OgIWVZW7TUmBX/XOEREbU69jXMQaC43qRkwL1skhL221ZH+s3Yx8l8omrP+ifjyH0hbsN1VvjKraN0fg3qPNKhiCJ/bAevoTa3cSpKkr8qURGhjpQ9NCxz3XaVMZV9OiF+K740trmmzSEgt2Tk8Cs3h3q3cgNLZgyhbzDZpx5M9g3y2YAmjkuplUK6vnxdab00X3KXyX4m4dAquDRRkUmz+NJtB9AvclMIvvSDejZauhb6OAvmFFCrS7A5ag9OXNWIcLP1qPonPcFvOL8IDODNFuYcaNFLJvWrHuO7+3T/RKDLjj5DXWDsDH/SRop7S75eQ9vi4jmRPuE6aAXETcy/fpyc6ljLzD8XUZCfCtX4vpPP9McBzPqG5jVhor9wk0kQ0rUkI/peEKp5f5x7De1r/Xq1zn0ChOf/QYJqa2pj9ry16PZco99yfwu+vXoLhnoKxSSqh+ZfstoYt6c5acm1yH1B3y+xpLWaFurXx7QIwoOIUh+BLtxHOKb8A9rNmak8wgf8IJzAzMarBDnyMM+gx8aU750pZ6tHhaqNOkZ+Yfw/kYHMc+7HkqAdAypad0bZaE5voTzv2jm6Q3p93FZp28rYIp7DfuJxMquvfhBOTTvB42IP8/rv+uAXnsscf+27/zb//2b+ov//Iv1dNPPy3/7g9/+IP6i7/4C/X6668rpZT68Y9/rD73uc+pv//7v5c/88EHH6jPfe5z6qc//en/6LOxAalaO6/y5nH4eEwUdNU7UCisLsQUg4VKw4qUJIl7bFOSRT2WqVaVzapopxOGlD8NzqzrPHjl8fXwyaeDSsUeU33nN4Y4mbhPOZqEuk1ZHGAaGaM1Jf3WS1ssdemndXBX+cq4Mi6Dz9v0QZu4EW37VicC6t4YxeHZ6SQVE5Us0LamDC40rqaR16E1Hryof6FrTLTLko2PLkwMCTRupJxNLmmJqNKbxabIAluElXoCwulQaEQHB57JCS0svj4jkw4W7P6kJfeRKfbU2SilJC2ZzWKkR1tl6oOMzkv5MzgU4hsyQBAvZWSaQB74/fcs2gkqBJFOBjayAN72rU618b0eESSTYx6cQEFV3I2C05vTwXk3QQH8/SePwJJxl+MI5l+0pOgND95n5astN+mu4j4B3QKD+R77RrfKe25OxdrhyuNftMQ2uKgfh27evGPHSv982nuSGx6Y07kNN1KgdQyh+KjZlpNCL/3xaqF1MBRv+XLoQYxrabFzJcc60gc0k+grp28U8NOGmkFytW+OiGie75BxAYg2p301W1Ec+dKWNFtsgIq7LRGx0wmqbL+DWpftx3Pc9X67cp3F9/LmMDEJzOJ+hsbws90nTOV5KqFWlR9HE3YC7ySpZiySfc/MIwPkeloFvjQnoYb+JNZi3gL2moJJzcdfykrx+6eXL22JzbZxDdSm6u2YDFAPVnTEFtvS0hbcs1iHJe5ZFGfTIGHVO0fEKaxqJyYOVbtMFfryjBMgp7VRq/NGJEso0ueALSywGaZnLGWVsQQKJMW2dBJiMVm3KauMGykgzM8fd9yTNK2EDQpzIkg54ZSYk0jScEIjDgUr0mcL992fuA8oupyR+0xXrfJmTDl9zyA9uuSQpV76ZViFXzyGpn4JNuWrv94P6kwXmq5opyWTMArKly9PqrID+Iy+pxcAOukMGk4qAscxzahs+n/Ze8/YuM4z7T9fsov9EARYIEDae6ZyhlM47E0skijJsqwSyxJFSRQlSqJIURTF3js5M5xyzlHvzbJkyXKXuxyXxJvYceLYWSdZJ9k4idOEALt5sRtgN3gB4fl/uJ7rPlScxfvuAn8YMHQAw04ss8ycec5drut3QVrlupxULd9rkqRrBjXSt+TNQj67ZPm8Ms475npm3nBTwUY5rwvnCM9D40JKCuycOUvd6+tXSil1+5ZfZK+RPk3XG0Uj70vjtV68Yl48iyy4iVGP9uB9fvSfiyTc1HstDgpiPZrRxSvmRfJI6a4/bqlXfxEQiiNpaHkHbNl0BKYho2p+u1km+h4T56Dv+qxs/4Pj+Nm8WUuGBTWrgZiurM+qpXWQZLlOYIrPBp1SWl8KzSAx39FePSzqdj574SEU6rdv+VXdEsj1CvdYMjTz2Lhn2DwQNe9+OKGKdqEpC8w4virP1YSK9toyAOGQrOj5UWzntYrCl8KZuGhDVr36i4CoElgH8MwteG4Um5EH51XNmrQa+cf1KnfUVtf+uVi5Ls1L01XWiIEbvS4c9sQ68D19KUjh/HFLtpLMOPHHsbFre2ebBJyWNZrKc2HsbgPyCV53G5D/xvVfNSCf//zn1Re+8AWVk5OjWlpa1B/+8Af596+++qr6zGc+o/74xz/e8d/FYjE1OTmplFLq/Pnz6vOf//zHvt/nP/95deHChb/6s/z5z39W//Zv/yZ//eY3v1Gf+cxnVMkDcax4j6Ch4KEY7cXB7s1gqkUcaOk2U2QxRbtxEOa3W2rtGx3KeHBeLX+tW4VGUEhSOuVLY4LMyR+JKSxyo922hA8tXZqEpKvXljAi3yNzav239qq62oSquQ/oRE5SjdMoxlwnsqp6XUZV3ByUkDePbYpcpKzRlA1B5casYDFj+23JMKH5MDAF0xov95WEKt8MDr/7kCkY3dwnp/C9jmdFO17crLc0Y9rQ2emYnwvaoOtmGnb5ZlM08ZTlcILtzeDrBGY0kUMb8qmpj/Q5r+Wy6rgErPEhxwl5aRMOYaKJmXNA/CFNkzSyU+cdHnC2SP44Ni6lTdAnhwdR7CytA6ZWKaXWvtEhD273lQQMvDstkU1E+rAJcR3PqoLnRkXu8tTPY4JzJp2laDdey2v/XKxCT02p8NOTeM20BCw44aBZmYxN71BsPxo4ok9LduAB7z6ozZhn0+Jfie23JTTROJdW+c+OoUCcQwHOzIrCFku8DcapjMiGSIQyLqZUpM9WK0qnQaJqRMJwQZsjlSneiWk1MxUIIaCRuWQ7Hohs8gpbHARk0S7LoTw9hIat5uv9ynU0qyI3JtSiB7AhCzw+I1pxghbKGp1JarTXVu3vNKrQCPTfvnnHM8HcAuJdmeTOpjg84BQDvkfmJFmZsjPjHIL5jHPad3U1ARnZ5SSmk/ttdeSDpcp9CO9DRQOKiod/VqoC07ZaGR27Q/bIy5vFPbSsOi5DiOC4LRSpku243/LbtUeo1yl8KFmsfaVPJD6c+i6rxrnnvpIQs7fHMkU6SAqON+2gTYPj+KyXbHcaEha8zW83i3E1MIXXLjgBP1Tg8RnJH+CmiH6fxu/sEokk70tqz+k1CQ/YYgiP9kC2RYywUsjgISrUuJCS4K53SQAAIABJREFUdO1oD+6FpXVJ5TrqnFEeGw1I1f06M+E4fA80OPO9W7o0icbvdEbCLo1T8Gr44/BH9b5Xj/ulD/cctyaBKWfI40tZ0kAuJBqFhnVeiAYElL44DNz4mIOxZgPJNG8G5hJ2wK0EceSuS/PS0JW9NKRKm0DTU0qJ56J4pyUGZZKeyraa0ry5ryDPhhj427f84vcq3wI/ACfjNF4z02n72zsxgDiD87J6bUbyePK60KzfvuVXxc14dlY0QAZEI354AEb/6nUZSfiOddjq5V8EIcPVUsfSJlPCLoOTtvrz7z0oyk9nVP6zY7I5I/K7rBEm95d/EZRzs6ANPwM3Yws/c/n7cAbSJE8UMOXS7sPaH3YuDYJmJ6RdfF18j8wJsIV5R4V7kH9VuTGril8YEZ+RP2EJ1jjaDQUCz868LlugJQQIkLTn1dvR0iZT8q1yx7QUT2feBMd1CKn2bLkeSsr34qaE7yPvOdeJrAo+MS3357LquDSanqm7G5BP8rrbgPw3rr/WgDzyyCPqueeeUz/84Q/VM888o/Lz81UkElF//vOflVJKPfzww+pv/uZvPva1VqxYoVpbW5VSSiUSCZWTk/OxP5OTk6OSyeRf/VmmpqY+5j1hEGFgGtP/SB8O3GgPCrqi3c70NHcU0xYWZWVbURCxsai5Ly3J3cwS8M0jJOr9j76iojcmkF6tJ0n57UDuMjyPjPrFK1Nq+WvdyriYUqu+2QlJRZeTqVC9DkV1fjsmVpQ9MR+CK/jw05OQ7JxwNLhFuxB8SGSjHFinkFZMgk3wiek7DmQ2EGwSmMDNRohmTE7RQiOYHnoz+qH94Dzwv+fSKq9Lbzz0pCXWYUvSerQb0/2yl4bghdByjGi3LfSQqvvx4KTZnIZLBqIZJyGNo4zj9i0/DtqnppDGTLKHLoJCI3q6qglfsQ5dVJ1LywaH5JDghM7iaEahzxwXpZQkoC95tReTx1lbqDl5B/DQLNqlPTZ6gxMawcRw0QNA5zJZ3XUc07vAjC3a9vCALRuSgjYLxu0hWyQ6z38YAXFpFbY8ROcSvxqccDIF/HFLqGDuh5EE7M1o9LTO1mChnXcAEAYGV9FjEhzH++gxtcFZP8RcxyFVk5X9Xsc3o5QSUhnzGhgmWdFgytS+ZnVaTJbFOy0p2ivrs4Kb9GZRiC1dmkTY46SDNg0P2mr72zuFZsNixZ+05EFOpLU/YUloKKUUwQnQf6gfN86mpQGp0MZdNkOcfubvw2bLl8K013UiK3hM3yNzaCI1NSc4qTXmcUdLbpxJq5qv93/s3KInjLSfwhbI58JDGkqhEb3RHmz4GMBXvgXFH6VK3gxer8qbgzLtZCo0Df757fCJ0Wi7tC4pkrrAtCOVjPThe6V+vFK2SZQz8evEOnCvMpOEG7L8Z8dkaxXtxrlZ3IyziQbe6nUZofMVN1sSykeje8FeFIfMlhGaXdwSWV94wJGilm/G8IXZHYSJlOzQaGe9ifCmcX77Uo7UjB6tku2WNNWV9dg0FT0/ikJ/qwOvYGiqcRroWnqt8rpsyRwiOINbtdAIzlKvJtHR0xfrsCXRm/egbx6NZqzTFsJX+RZIrnJHcYZ49cDrqZ/HIFPdgcY2OIn3IOexGblvXEezyriYEmAJz3qS4cq2InGdUsvANJ6Bix7ISmO/4vUu5UtZIlElJpe+lMI9jmzJOJnB87ED5094wBap3qpvdqqlS5MS9mucwueafhOmhed1QZqUO4qBT6QPr33uqK22vNUi5Df3YUi//AlLEsfdByFXE5VCyhIcPC9+JjkkKNuKM3fJ8nk0o3o44rEw9ClsxT1aWZ+V7V1hq7O5W7QBW0ZfyhIfk+vSvIQz5u/De2KczkgQIeVl0V5NyNRERRILXceyqv7NVrWsak51vrtZbXmrReWO2mp55azypp0cGDZaObN4BlVuzKrnP4zgM7ghK3KunDkM4vwJ7VV9ckpkgaFheH8C07b6X9m5uw3IJ3jdbUD+G9dfa0D+8vr973+vPvvZz6onnnhCKfVfNyDLly9XbW1tSik0IIFA4GN/xu/3q/n5j6MslfqvNyDla2bFSOib15IhPeWL9uCA8z86K6tiTq440WCGR7QXh+RCCgjpMLWrYIr76DdfBFJzhyUZHaVNpkzqWGwTibf97Z1SgDAFPK9LJ6VrnKE/uQB3eDWhipvxtWu+3g/dejMmG+999FXIgC7No+C6MQHz5UOY8gWmEcLoTTtmal6+tG4iOh1UH6U/OY/NwGw8Ax1ucNxBYhpn0ypyYwK89jFsKirrcXAyYZfo2Ug/HhjhIRQ/9B7cvuUXOlN4CBPf0IizUckdtWUN7tPTIRo4oz0oEot2WZIO7j4Iky0NqLFOW+Rc4SFMrtyHTDExG2fSQhtatCEroX7hIVsKOaWUFOHd726SAi5yY0J5r8VVfrslGN2qlwcEDlC02xIt9OKVmNySPORPWqJ/rn2lT9XVJlTuqK3qliRU/j5L7oPQCJonZrmUbjPFHMpwr6JdlqRzM+eAgVeBKcjmXCeykA3popbmb3LnuSVgKCMLUhKHiG5m01SzOi3s+0g/thpKKVW5EZsGr54Uhgf1FF9vXJZVAUOZvw/vpce0xFOT/+wYUKL70WAsrUuK8dc4i81gtNvZftTem1K+R+akGAoPOXKTwLSThl2wF00OJYls8MMDIJBF+hzJjXEemRuhp6ZU5UZICz0mimePBaN8QZslDUy0W6NuNUEsNGJLSntoBJ8hmvXdh82PnVsL5UfEiYYHbJEl5o7pLWqPrc7/dJEqbLGkoeUW15/Eti3nsRnZSOV12XitL6akaTDOp4DPvjkoid2BKfwONavTslnIf3ZMVa1HhgOT5mPPjCN0kLJITVfzWKZMbRevTAlcQIhFww7K1nU8K9+P25LwELYSoWFb0OGlTaYMWZRSIksKPD6jKm8OKuMMmtzaVdj2hZ6aQjOht6iBKTQrwQlbckCIgS1uBpWusj4rn5X8fSgqt7+9U/njliRFc8NGAqH3Whwy1TVpAWTE9juvty9lSVEvWRZn0xJOy6wbBrpWbILMsObr/ZKBQSmWYLh1dhCNx8bZtGwACfngkIQ+wOAEimtmZRC1zE1BYQueeURdR/ptaQrzDtjOlrbNEi9ccByp4Csjo6r0xWHAV0Zttfy1bgy9BnD25cyiya/YlJXpOwck9W+2OrLjFkt1fH+Lyn0S0ubYfrx+rhNZMYVTysQtS2GrJfI83g8s7r1pS9Dx/BrceAcn8bvzWv3Gfrn3+HmoXpuRe72iARKu6nX4vhUN+H28GZzn5Vtw/hW2YvhAqZPnWlzFOrBJyTuAZjTSh4aCxL/QMP7/0LAtGWO+FH723FFbtplUEpS+OKy8WRD0ckcx6CncAygMN5euS/MizZ374Wogk29MYJP98oAMu777K0N5ribw+10C4MObscRX6rmaUJE9d4MIP8nrbgPy37j+XxoQpdA4pFIppdT/fxKsv7wkiDAdl3CshUF15VtgQhMMHQ1numjO64L0hE1L2zvblMdC4VJ7bwoHwCWk4pa+OCxm1Wgvil7P1YRyHQFfvmiXJtgknXWw+xAefA1v7pEJhi8N+YBxNi0SrMJWrZNNYarmMZ3AK9dDSQkXo8Qq1okp2IrXu1TdkgRQrU2YshftsuQhU73OIfIsegDGxZrV+L7clPiTKHYWrvFp3KN0JtprC4KW2tqKTVkJFyzfbIK0olfllLjxARsacQgji1emlHE6A3JV3EEaMtGZngoWL8ZpPDT9j0Lr7T5kSjNZe29KFTdbYrLkQUsfDzWyBW14gAUnbSkafI/MQabXbYsRNtbheBloBC7dhslZtAfvx/pv7ZXXz30YD5TFK4F3jHY7UjhvBg3fwjW9N4OvU9CG9yswhULEdQTNW+TGhBQMJNq8/ksYIoOTttCJONHzpZH14DqWVcaDIJa5D5lSPFIax/wCAgL8CZhJfSm8Lhu+3SZhg9SqM6G3YC+KAMp8lIK+etGGrEwGX/wwJH6Q0m0oioqeH5XQwMCULR4DhqGR8uSxTNkoETH88M9KQSF7AJ/paLcOI9TAA5rsia8sbnZCyipvDqqKTVnIcGxTfAbMasgddVKHaUplkBqpNQV7NUVPp4Xn70MTe/uWXzaRxkXo+r0ZZ/KYOwoz9l9eLPBCwyjSa9ak1bIqpNvnt+OzVLkxK4S3pXVJycdxH4Y0g9tSkqdYIDNDxXUZEsXFK+bRXI3YMrWO9Nvidynbat6Rc5F3AEUSs1yMc2m5Jxc9kFVP/LwA3+++tHIdBeL7zE+qZUiTq9HQoRF93u7A57/o+VEBbRCuQM9KyXZM7UMjuEeVUsCe6+EPJYSx/bZsEivrcX5FbkyouiXQ6RundaDl4zMy3KBngZsX1xGctYWtljwXiBsv2W6p5eUzIoPi+8ypdu29GBKVNUK2STiJ52pC3ou8A7bcg8RSU5oY6cc9tWT5vDSspJURLlHcbKnVb+zHdktvcXOfnEJGSZfTNLouQxXgsUwJDQ3MYFpOHDGzKHzzoMm5jmdh4H98Bsnc2rQf63CoUmwwSXkTsMJ2S4Jj3Q8DskL/zK3ffgnvsc76ITCEHsGC50axOW/Fv1/xehdkqIP6M3c2jTPrbFoVPT8KiMtJJ+/CH8fgJK/LVmvf6JCsqeC4rXrfq4d389kxyJG0Fy0wY0umjFIKPrTTGeW9Flcd398ickSi4GP7bWnAmB3jPmhKxpP7SgIbnrPwV+Y/Owaj/x5LiGoVNwdlkGlcSIkZPNaJrbb7CuiDDK6kl9L9cEL5rmP747oEKEHVywMqOKmb2BdGlMdE41OxCc/E6rUa5vHInHIdw4DEfdAUj4/7SgLSZssJJ61ZjYGW7/qs8mZx7u/67g711WPTdxuQT/C624D8N67/lwbkX/7lX9Tf/u3fqkuXLimlHBP69evX5c/8/ve//6sm9Lffflv+zHe+853/kQk90pZUvnkcEjQLVjSYEvLlS1nCyV8YnEYsZGjEFpNWcbODqCxsQZFLM1teFx7kyytnhSGf345Vqi+FgrtkxwLz4bm0ch0xZQPC4javC9OryvqsJKIHZlBkRXswZWIwFzG+TNzloR/p0/IZJrifT4n+3TiVUa5jWSmslVKq893NkjjusU3Z4EjBoHXC5LtXbsSmRjwImorV/k6j6v/BRpXXheYk0ocGKr8djVdwAj9LcbMl5A6ao/lg/9FHXxZ/Aws437zGE3Y4gXOiY7d1JkWTqbrf3YTNzWFIrNZ/a69IVUhJMU5mBF/pS1tCGytrhGk1PIApeu6YE0qplJLmiMhhFuF5XXh4+JOYxHpsBFX5k1hzMymbkpPCVjwQmPXS/HazbBsoE4r024LZXbwSFJdl1XEx+ZP6U/9mq2jHc2ZRkBW0ObhWj2mBSvX8KKbdM84mo2Q7oAb0OJEIlTtmSz6D6wiS7dve2SaGe4b5uY5n5feouDmoxt8HeOL4B4vFexKYQpPx3kdfFeoMiyvXMTw8Sb0KTqKQDMzYIpEo22qKDK9qfUaMob/9zRdFOllZnxUtOCVW1esg04nemMCW4AB+78p6YFJLmzBwCE5iosjgT+YFUM9unAT1hrKvvAO24E9LtluSdly+BTIW4wKyOYLjtiSnGxdAaaqsh7H8L6/QMM6YWCeKviWv9oJOpD099xRMSAhc1fqM+E3483M6X70WVLiFSF7jVEZIXcQOl201ncTmepxNNfelpfFi88uMBBbut2/5RQrpTcNftaJ0WpLpaYDl59I4Bzx19dqMyFhZwMtQ5DhIVCzsRNaiST8kq/muI6SwoA3/nrJK1wl4YoxTGfXGL71S2PLsun3Lr4zzKdnocVCQM6uBFxdSkosT24/3m7Ky9ncapWlmYF6021Z1NXExPRMwwBBEekNoXmeuye1bftHq03tQV5tQnmvQ3levhXmfJmjiqD0WfhaicEtfHFbuwxh6UHaXvw9nr1IwoXMAw/wKSlVrVwG4wRC/mtVpFJ8kGmpje1mjKUG87kOmgB5iHc6UnBsigi7yDtjyfCvajdedAbEl23HuFOzVOVBpfL3ghC2/n+uhJJ6FzXge8H7n/e2xTSExMjQ41oHtQWELtko5s7YYwekloumb0kFeJN4ZZ9IIzq3POrj7B+eRfaOlzNxK8P52Hc1K0jlVC/nt8P8Qieu6jGwi92G9Udxnidfn9i2/an+nUWRquaOOlNCXtoSAx7yWIx8sFZrYt3/pETBOYQsGXnWv9cDboSEmkX58rUjfnZ97+vFI4eSznmeV/9FZZZxP3c0B+YSvuw3I/+X605/+pN577z313nvvqc985jPKtm313nvvqY8++kj96U9/Un19ferNN99Uv/zlL9Xrr7+uKisr1Ve+8hX17//+7/I19u7dq7761a+qV155Rb377ruqrq7ur2J4Y7GYeuutt9Rbb72l8vLy/kcY3pIH4kjPXpN2cLxaC8mCNtoLzwEnqHVLEqI5dx/G9NUftwTBScmKL41DLDxkCxbUY2HSXL0uo4zzKbV4Zco5RE87/oayraZq/M4uGLw1LajguVHBKkb6cPAxAdY37zQqRCGScX9PwYT8Pgwb5PeizIgFTuEeS3wTvJjjEO3GdCevC68XpRT+JELEIv04gH3zeKh0v7sJ5uFJPESo7+fklLkXbBgoy4h1OhM8HqgsAgLTDqqSRDDf9Vn574PjNjw3PbZMbio2ZZXnWlytfaND0JEkzkgol84XME4D2UpddWAGReWS5fPIp9jmFL2uY1nBN+YdwMPAOAsPRmU9thbEKRKjXPbSkFBHPDaKBeqQS3ZoqcqKeTFsUm5R0AYDIw2ElI8U7YIZ1pfWWRg6dJIT+cqNWbXh220gMOlpbqzDFs2wP47GonJjVvjzxtm0UOG8GRQrtavSsgWiKb56bUZ1vrsZxsVjkM+EB53cDMIdghO2JMYTsenVuRc0WVJjX7IdD/ef//qLknfjjztUqtwxTPlqV6UlXX7RA3joh4dwX+aOonErbTIFHWtcRGCgN4PfN9qL32X5a90IiEzhvih+YUQ2X3kHUHBHe2115ifVqv2dRtX97iZ4O9KW4Jh982iyV37jgBTK0R48uClj40M9cmNC1dUm0LBoX8TtW35V2GqJp2HhRZRnrNOWsLfcUR0U2Q7dPcPrXJeA2SX4gHQsSvs4bXYd0anvejOVv8/ZBl38aYXIV4qbLTHTMluitMmUIcvSuiTIYHorS9QoQRCFe3RTN6W17lrfHh7U+RVJTf15AMUWdfw19wHQ4bkWl1R6fs/Km4Mgs2mynVJKYBHGRRTJvhTeOzYPnLRXbMqqulpMzD2mLuY0Ktf/6KyqWp+RLUtg2kHYskHyzeO+Kd9iysBh0Yas/B5M6HYfxCbcp8lbLLhLtmMoRVAADerEkjd+ZxfS6TWpi020P4kzzDgLgzolPeEhWxp13zwaktgz4yraYwvKnVIqpZTQsxjQlztmCw0q1oEmgEnadTUo3tlwlW4zZQNI30a0W5uhs04mRWhES4fSGiXOLKW9KGLDA7b4wPL3oSGsWY3sCRrciRiOduOeaX67GZ/JvfhcrfzGAZi3k1qCq7fg9W+2KtdDSUmor1qfEUXB5PvrhFroS+E8YbginzG8ipstkeh1vrtZDf3gARn8+B+dVR3f36LKtpqq97165FfZkBUyvdyfsMTfFHtmXPD4fJ9yZhFSyOcJBydljaakxa8onRbkefFOB9nNrUTpNsAFmBl2+5ZfAAeuI6YM/egNpcwtOI4zzp/E9/Y9MgeT+jzuVc+1uCgpvGlsDT2mJa9BzpXhuw3IJ3jdbUD+L9frr7/+V83eO3bsUP/xH/+h7rnnHvWFL3xBffazn1WGYagdO3aoX//613d8jf/8z/9U+/fvV3//93+v/u7v/k6tWbPmY3/mX//1X1VjY6P63Oc+pz73uc+pxsbG/1EQ4f/+mRd+D/1Q8GZ1mm3SUj/66MuqosFUa9/oEPLJ0rqkyFpCwzhYqNv1PzorvgBfWutRexyuOmU6xFIS90tTbXgQBVTlRhTxrhNZkYpEuzEt9mqjd8kOS5CWoWGE7zHBlrrPot2gtoQHbKEAuS4ncUDqAp0PCtJd8vdZH0uGLdjrBJTljtmSMmucT6Hw1HQV95WETCMpO3Efgla7dJspq+uV3zigKjdmBe8a26+3HYdMGMV7QAWK9NvStJAlv2QZvCiFrXhY0hDsm9cPaS1TCU5qupNurmjk9pj4XWmA9D0yh8JCNzj+pDaYa+9HzZq0FK7ejCO/iPbidVhoQqchu+LmoMgiLv60ApMkHQjGnAWSk3JmbTHVBidtgRJUvTwghCiCBba81eIY1XUoXPU6UF9inQ6LvnSbQ5+pXYXmqmSHNrc/OQVKk8ZIE0lcsBeBht6MpRq/s0sVtjiUGD7UXMfh34jtR3G44vUumCNPZFXVywPKdcSUJq7utR5Vus2URkckWE9PqvItIMgQQsBEd9KzaNqsvDmIxklvGphCHu1FceU+DP+EcTElOnvjHDaI3qwlm0ViO2nIp5Su9pU+waqygYn0436i16Z8M7ZlwXFNnDsK7Xrlxiyyf3QGRkWDqf7P772qZk1avfhhCJ9bnZac3457PtoLIy8lGq5jeOBHeyE742u08Mp5bEZV3Z+RgpjTTY9piSG2cI+eCOsCIzyEn6d6bUaCD+lVqL1XF646NXnJ8nnIOx5KCqa5sh5FaLTHCXss2o2NHaEVnKJTthiYwmtPMmDV+owqfmFEPmv0Ja0omRJYRrQX7w39WcEnpiHteW5U6FXM3vCY2HJGe3UDm3E+e9z25o46TTfBBuVbMCBienbuGN47CYOdsyStm5kgsf3O2Z4zZwkggkANj21KIR7thUeDKFomwwfHHXka5TUFey0JguP3Y0Alt3v+pPZG6e9Zst0hFfE8q9wIE3pgBl+fSHFm/3izuCeKXxgRopNS2NKS1pUz5/jn3Afx2pOcRWJf1f0w53Mbf/uWX3nT2penn5VM3vZdn5XnFJHfpdtMMWQX7NXSrqOQPfE1LtqNZ0XuqDPsM05mVPCJaZF45XXZgjNe2IzT7xXtdZ574acnVbQHfhSPZaqhHzyAe/bBeeU+bMrwJjiJQpwIZTazSikx3XPAxs9F7qgtoYeRflsM4bk6Q6b+zVZsOLWfw7iYki2vTw8sjFMZwCHaLSGPMf/DdQzBhZQN3r7lxzZY1wFsTHPH8Hp49bntsfBs5HbNdSIr/lRuTUiSFF9LgymAj7KXhpDldGNChQeBQ2b2jjeDTRVlfbn773pAPsnrbgPyKbnYgMR2JLDiPgWEbXjIFkpUcNwWhCt1uzlzloMtnNTSJm3GdR1FAUyGOg2WnNoy6Ik4xUf/uUhFu22RJLmOZ+XB7NXYRhrEaMi+fcsPM6l+0DCV1nU0KxOokh1aopTFoV25MSu5CsU7UVRx3Zoz5zxEvFlLpiELp7H+BIgvpCcxHDA0bMsEJ9qDB0NoGA/PP/z2S4IxpUG+sNUSGgg19O7DpvgKKhocihFTdZcuTar8djykSbGpWZOWQEKaGYt2o3ChXIOMd4+p09b15I8Ga881IIXdh03JEPEndKLyccjbcmbxwGHWAjXxNLhHbkwoz7W4UkqJ38Fj4sDufa9etOssYOnBCI6jIU39eCXySb7er/xJS5KVq+7HAzh3zFZt72xD2OAApo+lTaYYcmlsL9+M38M4mXEIMAdNeS+p4y/cY0kuiedqQgVmMDXkxopJv755NDbGmbT64NdfwsP0FOhixmkQsDxXE4IGZjq4+xBey4oGFDRFuyz5XdnQeq7FZSviPoyGk1uL4KSmYmn9t3EO73PlRsgNOIVcUTqt/HG9GbmSEExwtFdvBvZhqhoeQk4JKVS+lGPyLdhrSQIzMc7G6Yza8laLMi6mVON3dknKuXE6o7rf3aT8cZ2/sy4Df9c0Co2TP6kFeCLjpIlXboR8KNaJzWW0W3uwOmy1/lt7EeB5Lo1/p6WcC42wvCiP8FyLiwTFfdgUuU94yGk83Adhhq2sR5H38i+CyriQEshDyQ5LDPY8G+jJovyDk3n3QRRrFQ2QA1FOWdCGIUxwUp9TGUhmCtowHMiZxfvIANC8LjTz9NSFB5zBR3GzJejzvC5HW88tQHjQwZgWtlgy9falLcmDUEqJrCRnVgcE6i1h0fOjqrjZksDD8AB+B5KIOHUmArhkuyXFMQEFJPSxmQ5M2YL4LWizJBOlbKsp8seCvThLQiPa5K5x4a7jmNS7D+GcK2yxZGBAwpv3WlwaTtcReG1cRyGbdT2UlBDBIx8slWKXIA/mAxXvBATBOJOWLZ1SSpXswHka7dYI9G4HpEFzO8M9AzO2WlE2IwAUbi39SUznG97co0pfHIa0U/uvKjaBDmZcTMlZ5D6MJnD8/a9hKLQpK+CF8BBex+KdGDac/+kiSe8ODUMmzKDESJ8jc8w7gHN8ZXQM254Z+CikYL80f8fvld+uSVU2fofADL6+UAJTuA95BWZs8QhR4sxBRmAKctdYJ+SZriOQpxlnAa9Y+Y0Dgo4OzOA9dx/EuZ3X5QwrvWl87dIm+HIqGtBYhJ+eBAjlSkI1vLlHSF/hAbz/Hi0r812fxeaoAdlEJTswXDAuptSPPvqyILoZbJi/D2cH/VmE3TA8Mb8dDXFpk+NFqrw5qO4pmJDBkMc2Vd7OuxKsT/K624B8Si42IPnbEoLHo8bYN2+p8NOTKB71AyI0bKvXf+kXOo83qycuOlDPuJCC/lZPBfkAivY6uE3XUVBNQsOQQoQHMIHyXkMhwXA0ptVGuxEWFRx3tLRLXu0FRaTBVJ5rcWiQJx2CSdlWU9J2FxpFKxpMoffkt2NKUr02I/rQWKeTydDyvSa1omxGXqvAFIpf65+Wy3qdgUh5BzQCMwkZj+t4VlWtx9ST2lSvNs8XtFkw0OrAtmi3jeyGHq3111QqWtcgAAAgAElEQVSVwLQt2EBfCo0FG7FIv2Oozt9nqfZ3GmFy14FjuaMOoSzShwaSJkKiJZnhIFIdreMOD2Bqda+7R9W91oPp5E5nWle80xJvhm/eEhSxUpjsuy4nZStS+uIwDJ4aE8n3QcAB+mckTavq/ozopl/+RVCyHqrXoeD3J/HzB6Yg0fKmUfSRBMMCNjzgmOWb325GGnLGEowpza5ljXgY8X3xXouDptOoiUxaZ2yczAgRrqDN0Tlz+kdaWGjYVs98GBVCDbMlJF1ZmzwL9lrq3373VdGAR3udyS4lWwxZq3utR8KxqFsmGtKbxiar9pU+TPIWyDZWlGlzsKYbVdZnRVZDo32kT0/3DuKfOWGkRM14EA0GSUTRXm1MPo7ifvvbO1XBXmw2In34zKx9o0O5jmMz9fov/UJ0Cw+hEKt9pU+5LicxSRyFLMSXdgYARbs+3oBw61O7Ki25FZF+TEIf/lkpJsgXUnIGcIOzomhK/B/cjuUdgDyO9CSPiYyQ2H40npUbs7JJqqzPqiXLgc+uvRfBkLwnKe+JdttqRcmUSFEL2pzNJ6VSBAi4Ls1LnkXV+gxS6jVq1GNaamXusDJOZoD21qGSkRsTYhL2ZkDpWijHok+NaOxIv1NM0s/DAouTanoJSptA56q9NyX5Lpyiv/qLABrMx2ekuOTPTh9g8U78N8wcKnp+VJLpy14agudPb8ECUzjnfGkdtqhhIDSA0x/Ie4EQhdCILWF34QGYqpklVbbVFJIfPSi5owvQtTq5PXfUlqwifxKfY26Z8tstobIxGDMwrb0Ll+aVcQrZVMc/WKxCw7ZaGRyCuVxP98XwnHbCPZeXzyCTQgdIFjcDjkJQSd1rPQhe1JuNwOMzsrWoaDAFrhCYBg6+9MVh+OJ0WnxBm5O07ro0r3zXZ2UgkfPYDIZyz4yLRJMJ7tFu3Bu3b/lV+RZTBn3MfwkP3RlEKHLUUzg3A4/PCKxh0QYU8PQjEVhQ1ujkc8U68XkKzNgiRy3eideKqeSRPi1P02ARoXfNaJ/nzUFlnM4ILpmNc8WmLAJztTTXm3UkvBwqCHhiD86qvC5b3evtg0JBwxCM0xllnMyo8s24D6M9eC24KYr24r0gwa+wxVKha4N3G5BP8LrbgHxKLqFgnZ4UXCUNYTmzOKxKdjhY0cI9OCQqGrReWGcH5I5iOkkdP7XL29/eidW29oq899FXJQCvsMWSCWxFg7NKLmyB/Kv/BxuFMhKcxIEXGrFFqkBakutYVnksSKNopC1sxQPxj7/7ivInLJgZLWwpClssIZLkjkJeFByH5l82EWsgC6JuWCklDHb6ShgGZ1xIqWi3llLoB2dpE6hWpU2mPBRJlPInQOYqaNNyIH0Ic93uujSP1/KROVW4B3++el1GRXudzYpxISVa6eC4o6P3Jy2RBfjjaIaKd6KoI7Zz+Wvd6uJPKzDh1IVNXpct4YnMCLH+aTkKLv3axzrRCFAmUb7FFGKaN4PXyXUsK/ShSD+as+JmFCPuKwl5MLG5YjJvaEQbfnXxJ1hVbZgMD0KCFpzAA6K0CZuN8KBDMXIfhNzGm8YDKDRiSxjX0rqk3MfPfBhFFsysg2g1zqeUN4P3vbjZydwwzqRlU1eyHUV59ToUjpQiRLvx8zABOzTsNBDMLSnbimknNyCBKTyYIzcm1D354/LwJx3OOJsGclhr3SnTYjEVmLEFqxycQGFKuRSbWiImmS1SsSkrmy6mBLMBYXhktNcWjbj7sCm6ePcV+L2C47pAfAxUL5nyailZ2UtDeKifgmHYH7cE3DD+/tdU3gFo0v1xTRHTeE7iurnd+cvLuJhSNavTqmp9RtWuwsakfLMpeTUVDQv03s2WbBCq7s+omtVpTDu1HyWvyxaZTNlWFEy8X/IO2JK9E5x0/FeESJAylDOL+/P2LT+kWLo5NE4iUyU8oGlmOvfHOAt9v8fU3qus0xwU7MV/S2rV7Vt+VdgCMEJwAv+7YC8+w0ynr9iUlaFAyXZ89ljI16yGL630xWFlnM4I0YqbDzaa3EoTL0x0NX8+nrXcrPnjDlCgbKspIJJli+bESB7tdcIXSeAi3nvRBjSlha14bxi2OffD1Wr9t/aqnDlL8oA8NmREkX698dyGRsmbhQS0rNEUn01gyvFyGOecxPfwgOPnMB6cl4wLNvOuh5KShRMaxmeYKd61q9JSwLKByB3VFLpuTbCbxBZSKG+nsLENTKGZWfmNA3gfmoD1rlmdFgmybx7PvtImU9Dn9EiUNTr+kuJmnEl//N1XlOtEVpp7vt7EMZdvwffImcXzkHkmLd9rkgDB0iZTLXm1V3C3DBgkIt6fwECNF7epvjQyfQh3MM6kpZnipiw4iaaeUAjmrBS04bMT7bXl2VBZn5WMk8AMhhzFzRieGRdSEtiYOwpENkNd699sVbljeJ1cl5OqogH3O7cq+ftAtWz8zi5pJKX5nXZw1/QDRfqwaVm8Qg8FWvAZ8z0yB8nxs2OCA847AL8gpYyuZPxuA/IJXncbkE/JxQbEM5UQDW3Bc6OqogGykPH3v4ZCUSNXKSdynYBGnUi86I0J9dTPYyINCA3jwRa9MaG2v70TU47LSVWyXev19znkK2Z40DhIEspC4k7Dm3vU7Vt+yGZsU7TLpIDkdeksC00oYTIzH76LV2I66jqGB3fhHk2hOYnCvngnHgbMGWAzUVmfldeKP0u010H/FbTp7JRH5pAUX58VvGj2x/dgczOpw9s2gUde0WBKoq7rOKg/lGTw9/FYphhSwwMopPxxSwKebv32S6p4pyUa1cI9+HrGqYwkUJNCxEmhP4ECLdrjrPO5lSpog76c0jT3IVPoWjRIF7ZYknJMuQyJLcwBKWs0ZVrsfhiyPibEB6Zt9cGvv6SKdmMCWrgHGyEmMNfVJqC31w84wgpYRISHHKoWp3lFux3ZUc4cJpo5cw62mQnOJJ2xEWOSvHE2LV+Hmmfmj1RsysrkOHfU2Z4R2br+W3vxYBvAQ5BZGoFpPFh912dFnsdAQY+FTVGkD00kg94YxkhUcOEeS1J3uaUKjmNSGJhGYccsgvLNKJhzZrX2WSOJ3VcSqq42oSbfXydEnYLnRmHa3+34OvxJvB+UyfjmdTDlpONn8D86iwf+nDP5zh3F71jc7CSF8/szWJGhbIEpbFEW+mmMi9iWejOOGbb2lT4V6ft4A+KbR0NdvgVFEwvc8i1oqjkppl7bdQSFQqzTls2L6yi2kr553Hcsypi3sHRpUtWuQiGeM4ezsKwRshFqv/MO2JJCTe9E8kerlOdaXKQ35VtMGSowcbxkhwUP3c1BgVHkHbDlLGCGUEEb3heSAete68HGpdPxQ3izlpp8fx1wwh1oznlPHf9gMabE3bZsXZmsTh0+vRQe20RGTMoSEEb+Pku8Vv4EzhS+14f+aZnyZiz1zIdRaZh5vxClK6CQvZagw1ncchPsujQv1DB6z9a+0QGIgjbKx54ZhwRz3Ak85WfMdSIr5nbjQYR9GhdSQv7iuUbvnMc2JbtIKSWQFUozc5+cAtmo08Ebk1YVHtQ+i17b2XqcxpbWdQLnufdaXIL+ot34GUpfHFbGg/OqdlUaP/s2/Ay979XLttZ7LY5t1fVZVbsqLUU3TdmkZhU34z3gwKTj+1tkwxvrwDYldwz3asl2yJKMk9iQxZ4Zx72tfUSUhxLGQC8dQyl5LymFjRo3fmzqg5OOtzPnsRlV91qPyjtgCy7Xm8Hrx8+kP2mpewomVOTGhAAICOmghI/3QmV9VmSbxTvxZxmSWrzTkt+VZ9gffvslCe4s2Is/w2DR/H0YcFCKx4aWmy3SBGMdGNTQg0mpdGhYDxm08qN8Cz6f7kNacn5p5G4D8gledxuQT8klDch0Qh7ERIM2v92sqtY7cgAamjlVWLwyJfShik1ZVftKH1Kf2yyhfAQncFDnHdBay7OOzp1ElkgfJnDlm1GMUJZDnCS58yxeSCVavGIe01sdLEXDOukfPHxIgKpei4cvg+tq7kNOAVPI3YdMyTCp2JRVRc+PqoK9zgaEr4H7kA5O0tsebhBKt5myAq7YlBXySd4B+BtokCxtQs5DXU1cVa3PCLfdOJ+6Q47DrAyvlk2w2CfphRjFwj2OoZi+CG8a/g5qrcu24s/2vlcvwUpsgGruc7Y9gSlM3upe65EMh1gHaCUseKvuz4j0is1H2VYU1v44flb3IUjjGPBFrwv9H5UbUWzUrEkjlVvnsvgemYMX6Vxa3evrV9EbE/g5T2TFg+G5Flc5cyBreTMo+MoaTSnSot3OhiU8gNeQkzLK0wraNP43AXyuPwl5Q82atEg+Hv5ZKYrBfbjnqN/3xx3zfbTHofYYp2F4Dw3bMk00zqbFh0L6Eu8l3yNzkgtT0WCqFa93Kdcxja/kZuLJKRWYQoCmxzKloKbchKnZjd/ZBaqRDXQv6U9s7ivrtYxMT/IpZ1j7Rofo+SO6qI7tRyOT12WLB6i4GYUxP48VDaagk0ln41ngupwUuk/pNlPdUzipCvdAr1/7Sp8kmufMorB2Hcuqlu81oQi+mriDxMOLmwEWxxWbIK30pdFsi1/i6UnZRkZuTMimg0VpcTOQzaER3A8MYMsdwxngOopzwmOjgYr0Q/JT2qTxyLrQZggmQx+9GUzUjQfnIe2wtUF80Mn6KN6pm5Mx3B+UH/E1ZQNQ0Aa5UawT/03V+oyY430avuGx0YiVNqHxVEop9yH4VCL9+H4MSSxrNJ2tc6uTkh7txvvc/k4jvCUnUDgapzJq/bf2Iu8miUKwZnVauR9OiDQ01okCmrksHtOSRHJv2lKrvtkp90BFg6lyn5ySZGpCCFxHTPg5FuQQEaxAdHBo2BbpH03W5ZtBM6u6PyPBmYR7uB5KygCGDRTzoEqbcEZRkutNY+BTvQ6eJ9cRUzJsXJfmZaPjm9ebuT5IwnJHcU+5TiDHyZvGmcCgyR999GUpiDnUommdyesLMbAMSyzZgYFP8U5syqvWw6TtPuQMjyo3ZsUoH+tEE593AHhpDi5e/kUQ26FBDGqWv9Yt/gn3wwnJ4+AZVrQLErzYfvxMvJiFFe2GtI6bp49+80UV7cHnxTgNzHTeAZzfxpm0bMCGfvAAPq/a/7Logaxg7v0JJwiWsmnXCTwTFq+YV8EJPJ+jPTgfalZjEGKcBzTFOAnZFAMt2TT45vHeU4bozQKjHuuA1DPajc8Z8fi5Y3qI8XBCVd4cxDP70rxyPZRU5ZtxzkRuTKi2d7YJqKa0yVQFjXc9IJ/kdbcB+ZRcbEBc58eBYd2YFX1tzqwt/0xqBHMGmBHgS1kylS7Zbqne9+qRQKupOMEJrft/fAZF/2poUimHoZwp2m0L8pMkJWruORXjZGjRA1mZiDKp1XUC5sWKBlPkAqERFHwL1/JFu7TR8NFZTOWSmJQYF0GocR80BSMc7UExxqtsqymY0po1aSHTlDXioZX75BSmJFcS8NCkLDHc1twHKtHIP65HU6B9DAxfzOvC72f903LIwS4ikyS/HSZdFuj5+yyRquXM2oK+DI7joZ6/DzQbyjrch0w188M1Ylz3pfAXU54XTlcZNBicxPtS0QAZGfXBpS8OQ47RgwlwcNIWgohxEoW152pCQieNi5gqVmzKqq/9Q7sYUL1ZGNVLdljy9fn7GKcz0EabC3JfHp3F2v14VuU/OyYyjMIWSyRoxS+MSEFZsQnFGwOmYp2OZMt1HKbuwAx+z4WJwtFuFD9V67EV470Q69DyNm1kJDqZvqFV3+wEzUvjfXPHHHY/tc6UinAD4jGh0Y7022LwDQ1rGtGFlOTDVG5EkF3tKjTL3qwlnoJYJ75/yXZL0J3GubSkjv/ht19SrqNZFR5EOjgNz+4rCRXbj8wDyni6392Er301IRsPhnHR3FlXg4KThaT7sCn3kOsYAtuiNybUkQ+WqrolIFzd6+6B1+PJKVX8wogKTtpq5B/Xi0xu2aI5eKaOQkbpj9+ZRcArr8sW3TlpVgV78RrV3JdWHssxuJY1mrKJdR1B8cYchar1GQFIVK/NSIG9aAO2XYEp+KW81+LyPaM9TqCk+xAK8OKdKBrLtppyz/JeouQ0MIXCmJ93Dga8GcAsmB7tTzhJ2+GnJ/EePZyQrIuS7Xpb++C8KmxBUcX8G1KKlFJCGQoPoCGK9Dk5QwVtlsgi8w6gMViybF7V3ptSS5bPY9qsv35oRL8+63RwWxqFbX47EqPLt2DjVvbSEELtTGdwwXwlZlEwrI9UMfrHqtfB3MywPlK3CtosoWPRb1TcbAm1zZ9wmgdu0io2LcjFmbYF1mGcxnAnf59D7VJKQVqjhwyUIpVuw+Bp+WvdwMy3Q6brPgjPkjcN/HdZoylDteCELcGPlDFyq1KyQ3tWhnC2U2rMs5nDGIIUXJeTjl+h1ZHLEj/9/IcRyeGK9uJsK9iL10+IhRdSGDzp4UHpi8PYyuqtfmAGxXVw0lbb396JvKKNGIiFnppCc7lAguVPYthUsFdvi9J4Fi2tS6rlr3UD+KADAUPDjrSK6eWBx2fEP5F3AN970QbIQKvXak9dN97j0IjOv+m2BclPXDJzQHJm8XUpU+Mzdu6Hq+VZW9Zois+UjQaVFM98GMVQ6DQGDL6UJVlfxumM8lyFkoPnd/CJafyZ41nJxQoNY5joG75Lwfokr7sNyKfkYgPy1ZNTkPnoB2jJdhxuZVtNyYvI69Jhg214GNWswVSCD+faVWmV++QUzMojwLAu2pAVaQ8Z6rlj2nSedlbCRF1Ge2zxYHhsTLUKWyzJgjDOp6SwrHp5ALIPG3p7suQZ8OY+ZMpUsbAVBSvRq6UvDouGnESn4ATW4YEZPWk3rTuQoJE+FPyRGxOYAG1B8RHpt8VATs8GCwHSeCoaTBSR0yjsQ09NobjV7P78di1D60BB4ToGw6XnagK6fW04pHTgrV+5VPW6jIo9M67WvtEhCcSxTm2OfmpKbXmrRSbtHhOFK7Wxxc2WoCtZqER7tKlRa3VdRzGFDA/Y4pdhMNr/+b0X019tyqa8gTjEld84IJsu4wy2AJRzVN4clIcKt1qx/Sgk8w4sMBSm8BAv34IU47JG/P5lW00hsHGyx2bHm7bkIeR7ZE4982FU5ADG2bRICOgHyplFIUKJlD9hiQeFEiPjQkq5jiP0jAZaNhXV6zLO9O9URoriik3QaZ//6SLxZOSO4eGqlJLXgmGdRESGB3APhYZt+fwFJ2yRGpAu509oqeCNCeU6gs/VyZ/UAkWsJ5l/+p2hfNdnVeXNQbVk+Tym8R22FEqc8JZvNtW1fy5WMz9cI1p04yLC57wZDVrQRUhoxBYZRWErClOGmnFLEelH8fHdXxki8cpvt1T/DzYKypnBhB4TBVPRbjTfrmPQ1v/lRaytP47zqWo90LqUa3CqzawPTsaJ7GUeB3Xepduw7fClUFhS11/YinuxbKupWr7XJNLO4BPTqnIjin7KRxY9AMKXcTIjONjSbaZkz9CQ7EtphHiPk22R16WNzlpOSMDD4pUp+CA2oDAiRteXwmtPKiH9TsZpUNn4GkV79SY2DT08iUmeq4k7iEOLNmQlJ4HN+KINWSHAMYTTOJWRZpuvjXExpYwzaVW3BLKb/H2WeBqKm/H3ska8D/SIhYb1eXkeZnd6sjgoYSBppB9fPzjuhGVW1mflOcFBz3sffRUZIIOY/pdvMQVwkf3xPbLNKNplyfPBfRgNCFGyrstJ53nR6ZjXA9POvc2wUvoPKNus2ISGO/jEtHIfhsTSdSwr91ykH76y3FH8bq6HkkLiinXYklWTO4aBVcWmrAxvjLNpOU94ny5eMS/PvrJGZG9Eu0EHdB+GPMg4ie2wP2kJRZEbhqLd2OqQ8kQ/Y0Eb/v2u7+6QgEhePItdx7JCqOQ2npI443xK4Cb83YPjOGNqX+kDwON0BueExjBXrc9Ig8UNe3Dc2TStjAA/vWT5vPiI+PfaV/qwgXhuVIz1HCrxWSSDup4FeOI47mf+b/6dkB3f9VkJCF37RofICRkCzByowlZLffdXhvI9dFeC9UledxuQT8nFBsQ7mlTBcVuKr4oGFKIvfhiS/IKa1Wn11q9cksYtK+SUJRQTBgjlHdCJq5POA7auBtIZz9WE6E99j8xhsnIWxXnuqC1BU/weS5cis4NmbzYbTEO9fcsPAtEIJheLV8yrwJQt2RIsAPKfHVPG+ZSstpkdwiKw+IURmY4Yp6A/Ns6l5bWqenlAJoTcknDDwokUtfYkHpXscPJFGAhVvgXTWmYuUNvLoDmfphi5jqIJ4SSsrBFa8uKdTtq8P6FTrttQnL74YUgIQJJCexRp4Hyg5B1wJElMDibFhCb5aK8tm4jQCEzVuWPO++25ioluYSuaRZqr3/qVS/6c61hWRW9MAK077eQkhIfQbLz/0VckGGppXVJSizmZpkwvfx9eVxpXBcepZRqBGRTt7kNAhJLkVXlzEN6XOCQG+e2WYItzZlFIVzSgwa65D7ja0iZTtm6BGbxOlO+VNuH15/SO0jdvBg+7X/7mi6potyVkrLwu/fNemodv6DgKXqWUmMmLd+qwvy77jo1UYasljPvwoFOk5I7iZ3WdyAp8oazRFJxkrBNfwziDbYzrCGQEnH6HB/F+e0xLvDaxTlsC6XyPzImkxf1wQtXem1KV9VnV/4ONKndUY0t7bUmC5v1gnER43YsfhiBv0pp3NnsrXu+SwE+ibdnYMrSURvS/JsEqbHH8TcFxvG6BaVvkRLWr0jLNLGzF+xu5MSGNBQ2zxqmMGHRpxKZplQngrmNZteL1LlXWaN4xbae0jedNXhcKNuNiCts7LQlhoCBRyvSjEJwR7YFZv6DNSc6m1Mq4AEnNkmXzyp+wJFmdYXn0d0R78R7TW6WUUvntejOit52UdvqTkO9E+m0hCgVm0EAteiB7B8AiOG6LkZoafU6w2cCxOShsRVYOJUJV9yOQMO+AU1Sy0WYxzK2EP2mpFUVTyvVQUrKnSreZIo0ra0TzwfOHWUk8kwNTtjS6LBRLt2HQQL/dyZ/UChI+2oPfVyklG8DgOGRkvuvwN1W9PKBWvN6FQcO8k8NSszqtal/pu8MX5c1gw+OPIyCQXrCCNkvVfL1flW9G81N5c1CwzXldeB4sXplSOY/NiKcitt+WEFRudLnxL2zFPVD20hACBrWPMtahcbQ606JmdRqgkm5M+I2LKTRNo86WpuLmoOQ6UaLpzVri1eRgkFd4EAhg1/EsaGAPzgMckbaELPfzX38RzZG+b3Nm0XixkWRuFBsZesnomWQGSLQXHriCNjzbyhpN2UAW7bJkyLVwa7ToAchDy7eYgjWOdjsb2liHLXhuBg6ymS9sdUIPK28OYkurn1v3+vrFP8YNqT+O982fwM/hH7i7Afkkr7sNyKfkYgPink0o98MJVbM6LcxzHmTUAud1oQAp2WE5zYoujEkkyh2zJS+EOF4avojoW7QhK6bO4matldchWB5LYyCPAsvLB//SpUlZWzMV26clJQxRKtplyVTedSKrjFMZPLh1ngUpL8tf64Y5s90SSpU/7iBOOZGN9NnycFdKiW66tAlIU+qZXUdMJ6BJy32W1iUlPdxzNSHGuII2S9CMy1/rFrxfzWp4IQpbMbmMdaKA4lbna//QLvkmJPGw4WHhXnNfWrmvJJT/0VlVc19aDlwSq7xZS7kuJ1Xve/VYkev8hoI2TNqLmy0VemoKzdCjs0IOqWjAfxvtwe9KE7v3WlyQisYpSLBWv7FfVd4cVO4rCfXH330F2QpPTcFYb2LaKrIKzYknbz3nsRmsuNcgOZdmTZqPb9/yAwRwANOxol2QVjAYjxkI3e9uQsOqCUDPfxhRH/3miyrnsRnV8r0mZZzDQ5hGx/c++qpsF+iz6Xx3szLOpwS6EJjWWuHDSIb3adM1G4NIP34/jw3ZGsO7aMx0X0ko9yFTNby5RymlJMk72qOlXDcmVM6cNsWOQabE0EZuONwHTblHOWEubNFm8gsp+axWr8NWjshVhskFJ1BMRvqdiTORuyRg1d6bUite7xJ9NKel7sOmeE8CU/pzO41/Zq5MYYul/vDbL8lkn5Q3fxyvletYVkhD4QHcYwRA8D5re2ebCo5/fANCD0BoxJY0esqs/HGnIOLXch80BZRgPIgGsKANn5+yrXg9K+vxvv3ooy+jKdhqSkL5og0wrFO2uWgDpvDlW0zJHTFOgXrGQQq3GxWbsiLJWvRAVmhRxumMIJ6XLMc0OtqD17jmvrQKPjEttC7PtbjqfHczABVPTwqOdvFK0MBWFE3BeD9pi/wx7wB+Jt7DsWfGkXmjTeJM/nZdTqryLTijinbDt+PNWOINW1jEsQFh3o3r0rwyLiJ4tUIHZIaG8RqXbLckTZ7nIRtr0vvynx0Tr1zRbjwjjn+wWC3akJUNxKINWbX8tW5sLMdxhi6rjkOqNupsBmOdtnhhuJ0mGpmkrod/Vir+CRqsjXM4GwtbdEjugia1ZDu2rvT/UIZoXMBmihhzfwLPjsCM7QSRHs+qP//eo3JmcS/V1cRV6scr8ZprsmHVevjE3vqVSxoJ90FTaGvFL4yo4BPTGFZcnxUUbuipKYGCRHsdvx/vd24eg+OaWKelZf64Jejmot2WIL4pWyvfggag+91NEkrLKzxgC6xDMjv26M/ak1NoVhd4OQMzTl4UfZexDifp3XhwXlC3xkUME/1x7ZmLYwgZGrEFYkMiZ2V9FvenDjAOTKMZz3lsRsWeGVexDls9/LNS+Rk42CvYq1Hi51OqrBHPwtJtkGeGB3XuSn1WhjDGOVD2PCbOMsYRkAQY60ADWVmfVd6Jux6QT/K624B8Si42ILmdSUyy9Lo4ZxYFcs2atHgw+EBldsL6b+1Fgc3CS3PqeWDzcGPhwgKk9t6Uql4HSofrKKQqG77dJgVn3gEURZ6rCdkAUIJEVnhwAocjUZlRjdShDBoAACAASURBVBKkHKxot05JP4kDP+exGdnMUCccempKea/FISs6YoqvIzSMBw9fB14MOCrdhgN8/P2vycam7KUhKfQ4SaU5l0XeihLI0zw2Jser39gv+MCHf1aKw/BEVj3/YUR0xtFejR/WBeGSZfOi63ddmsfv98jcHcbj0iZTpF4lO/Q6fsghQOU8NqMqbg5KUeixsXW5fcuvjJMZtXRpUsg3DFxjLkxoxJZwrZw5S5o+X1qnDK+YFxrQ7Vt+ZZxPiSGf+QES5nc+BdP0JRT0LIKYt1K7CsZXNoqcjhNfOvKP6+GvWZ3GlkvTvpZVxwVVGtuvcZPX4oI8dh1Hc+o6hrwWTuiKdluC12SRzuAq92FTJpL+JBoK1wmN3D3q6PGj3bZInYwH54W8VvT8KKa3ulEraLPUz3/9RVXY4mCT3VcSypvF68YGmIz64hdGRDrATSLpLJX1Wcl8ME5n1No3OlRBm6W+9g/tgrgOD2r0Z5tj6F/5jQOygcrrwusUGsHPwkbDOIdi/8gHSyGFO+7kMtBsSjx2tBcFJvNcOPX1mE7CNfX8nJ7njuE+L2y1JNRw4WeOlzetKTwTtrzO3ILkzKFpCz01BcPqfWlVc19aPBE8Cyi/cl1OyqaLOR6uh5JCpvPNW+L9ocndOIlmtmo97hvf9VlVsBcErOIXRiRXItpjy/fgBoibotu3/OJRiXXYgjX1pSzxVtEfEevA6+CxMNwo24qke8/VBIY6OtiSGQ1KKSmuAjN4fapeHlD+pKXG3/+ayACjvRgcVDSgGTYupmTjUbU+g3tjxr4DIV3YijOR4IaKTZAj0ovE15fyXI9tSngmCXLGyYxAHPheVNZnERarv4bHNgWfHOnT5LIjpuRwcNsdemoKm75J56zt+P4WkQNTUsosqtu3/DIFV0opb9bJZcrrwvntOoYzteC5UfHvGKczwL3qLYbrGJ59HgvvZ3Dcac5oLHddxlZi0QY9eJnAYCX3ySl8lk9n4JXqxlkeHrAlCHb1G/uV62hWPfyzUmVcSN2Jvd+UFQiFPMem8LylL7NotyUp98Z5+FeM8ylBPVc0mEJli/bis+0+iHtm13d3qLolONN4hQdxtnlMS1QOHgs/Z6wD51qsE9/r4k8r8GzW+VLGmbQkuNPXWL0uA9niesjccp+cQpOjpauFe7BNKtmO7/dvv/uqCg/YkgBPTxHzx4zTGdkqc7NYug2f52iPLc19zhzOvJqv9wsiee0bHZKzRHlwbD/OrbwDaGKMiynBw4eHIHHlULFy5czdBuQTvO42IJ+Siw1IpBXGstxRTNn8cc3JHnJIOLljthgvc5+cumNFuTIyqpa82isegPAACsPFK1OYWE7YovX3Zi3RSTMoqbQJ/1xxc1D8GHldOJxo9P7j774itKvqtWCe5z45heJJy5RCI0hopaY/d1RTVS4n8SB8cF65jph3rHv9cQum6iem5UDi9Lt4pyMH4YTOcy0OE6w+YL3X4jAObgOe1DiTviPsipkN7oNO+qpxLi1oXSI9uYr2PTKn3IchJ+L0lcbISB8eWLEOTI24QYh14mCl7KxyY1aaNNeleQT5TTpeF+Oi8/vRZO2xTdG+uk5A1rXruzskCb14J8hjHhsTxoK9TtFECVa0V8vetMa25j4YCyl3y9+HTJDADL5HbL+TxJv/7JigHz3X4mLadR3BtJLm2ooGSFrCA0BSVm7Mik63rBGen9u3/Gh+n55Uha3YoLBQLtoFg6lvHg3GmZ9Uq8iNCdG/V26ELKWiAcU9pRZFuxBYR3216wSIVdVroZMPTNuSV5A7aou0yGOb0twx46J8M+4VfxKFA9G+9AS5D5kiGQuO69TwnZrGtRkNH1/3e/LHVdV6oEHJt/dqWWP46UlMQ68As73k1V5lXEjJBsB1FMUks2RKt5myMaisz+JrEMGcQpMYfnpSsgzCg9hGcQtUuTErnqOcWRTBsWfGQW9L643Io7Mi6RQErGUKIvqvNSA19yGXgWn2bBg91+KCBSYRh0UvC/BYpzaQa9M8fWWRfls8YcbFlKC7iV/N36cnqLpAqtiEbQ6zhgKPI/CNfp/wgO1gha8kxLTqm3cKuEg/CreKBlNCCAv3WEKDkrTwE1lBYXuuJjBF1wnisQ685q4jpkialFJSWJY1oqlfUTYjk2hSzDwWNlkNb+4B7a42IVNlTv/52pEQ5ktBXhWcwPdlIK3x4LyglTnkCA+haeO2ybiYUq5L84KRjfThfF1eOSvbWwIRuInlRpVZGItXzIv8kturigZTJI5EtZZsR6NUeXNQuS4npRHL67IlEFYpjcDW0BFKdFwnMIhwnciq4x8sVv44Cn8+Z2rWpJX7kCl+ExL1XCdwP1etz8gWp2SHk3nisTAE4jCuaLdDTaxemxGPhHE2LZ+/27f84jVxXU4q3/VZDN106r00A1cTCGEcw7n47V96hMRFM7/v+qz4Gf1x3LOu49jc5o46W4K62oRyXZpX3qzzvCvcY4lXyTiTVpEbE2j+nhkXaez2t3dCdrYmLZLp7W/vVPntlnrxwxCa5FFbNtL+uKNYoA+wbKspeVSFrY7XLO8AhnTM0/E/Oqti+22HEqjvs2gv7h/e/6wDPDa8It4MnnPGyYxsUSR0Uz9DO76/BWf8bng8KUleuPX47W++iGfsnKVc58fvNiCf4HW3AfmUXGxAYtsTMr1nLoR4OzSZinjHtW90YAW+XwcOaWZ+tMeW6TzD5ThhoYGXYUvRXlvCy0p26HW8Zs/zIWw8OC/ovpxZTOioKQ4N2zKNqluSEHPsite71LKqOcge9PSiZIcOsLoWF+Z+xSZMjfPbsd5nEqr7IEx/3qwlQYi8fClMXP/lt1+Wn1fSsLVmODCjHzJTznrbY5li+C1tQoH3zIfRO3wz9KwwtJBegJLteM0qGkzBhboPmoLfzJm15SHGAokNBQ2BnADSjEjJE4kqlIeEB22RElTdr8PlNHGF25D8Z8cg+7iQktBI5oMohbBGFkXRblsCvYh9LG0yJX/Fm0HBJybUMeAemZBNb0XOrCM5CA/a6vu/+l+CvDXOpCHdGnE05yyCQsNaEqADBUlbW1E6rQpb0XxQTsjXt6LBVMuq5pAUvBmTTs+1OPToVxOCti3dhm1AeAC/V9EuS1C3T/y8QAXHkQruPgS5CYPMeD8x34SSF9KnaPpu+V6TmDdj+x2iWumLwxIwOfn+OrWidFoIWpF+GHDz21HQcgPW9s42IVsRD8rJMKWM3GJVNDgemKJdWh/erQvrrBNox+2BcSqjKhpMyYig7C/aiyKX2G3mM7B43PJWi+BLc2ZtMQyXNpkSarnw8s1jAk2pW/kWnBX+hCWGXUqwSnZYkhpNmQnDNV3HnKBLko6YKeM+iM9/zhwKyNwxDd3Q0suS7fj5Clt0o6I/m5SRUkNPUo/nGqRa4UEtg+uExM2bcQYHeV2OnLLhzT2qsj6rau+Fp4TNFU2+xc24p+mXie23ZZugFMAG7kOmutfdI5K76rU4WwJTeG3uKZgQdLlxPiVnXrQXRRm3NcFJeEFqVqflnpCwym5bfn4mRpMixf+vogFTfeNURlXq7BPjYgrEs2NZVbYVoAAW1PcUTkrRH+l3wuJyx/BzETLhuz6rPCY+sxymhId0PsswBjuRfg3T0JjcwIwt1COllPhZ3IfwZ0IjeH1SP16JjdT1WTSQpzKyDacxnDQvwlkifbY0OgV7LXkdKe0iWY1/pzG6/s1WeL6emIZP5Vxa0OnRbr2VeSgpFCZvGrJkX9qSfA1Kh0q2434PPD6jinbhXvRei6tIn63qlmCrGnxiGs/WcWwKvWn8DK6HkirabUvG1kIJVmgE0l9uH9d/a6+quDkoz/TcMcdzRulUzX1p2fguq5oD0vaEDgHNYuBCadeqb3ZiCJe0xFjOgVzz281COctvx2eZ8m7K5Uhn5PbCdSyrOt/drFyXk6qwFa//sqo5FR7Avf+1f2iXc5ISc2/aEjl2yXYMDp7/MCJI88DjM9IkMV/FdcRUy4K9dxuQT/C624B8Si42IP5ByBK8WUsmDDmztshT/Ek9DbyQUu3vNArazziTFukW2drhQUwWeSAT/0duPrX8rmPQt/vjmHJzJU2cbmkTNgY0QMc67TuamPItpjygmTy+ZBlCrsq2ah3wAjOj91pcHhb5+9A4ESe4ZPm8+FL8CRCUwgO20J2UUkK+Mc7Ca5G/z5KkdvdhU0IFo922Wl4+IxjiaA+IINT8E3dYug2yL4+FB3zxCyMix+AmwziZAR1KT6IYeudNW7LmLtqNCWVlPQpiymjoOQlO4HvS8+AxnZTo0ib8LK7jeKhKsnkWZkpKLyo3YtXte2RO9M/FzXe+50op4Ft1Wi5Nz/QKUPYSGrFFHkVk4/LXukE2ux8yhfLNKGoWavmjvVqesh/vQ91rPdjSDTgYY3/cSfVmgeZPWI7HSJtaa1el5cFW+uIwthf6dS1oQ0PFNGiCD4wLmJpSApjXhdctd8yWoEQfSUN6u+e9FhcyUvJHq1T5ZpB4iFfNmXVyaQgF4GQ+PAT5RmAG93NgCp+l4hdGZLOz4vUubDS07CJ3DH+GgW+LV0Cbf/uWH/k2DaZQukjaMs6m0RhryAN9V64TWaEsUd/vS1lCN4rtR6HIoEqilNmEcsPnPmhKs5g7iveLCcqBx2ekwXUdwz3x10zowQntIdCbOuY7VG7MSnglG10Sf6rXwqNRthXFcFmjE0bIz2zVywPq27/0YEKucabVazNiOGajmb9Py0o3m0KbYvNRvNNp6pZVx52wvH0atzrgaN1v3/Irj4UzyTiVET9IXW0CxvxBTPA9NhrU/GfHxCslqdK6+aPEzLgAslpoGOc1A1SDk7b4G8q2YutbthUFefFO/P78zBun4Zcr3mlJUU2iUMFenCH8HC3aAAw6IQzhARTpLOI4mPBmUTTfvuWH3PaIKcGp3NKEhlFAVt2PbZBxNi1BsB7LVH/+vUcFpnWWiX4eFTfje9FfxIEUG2QOmYxzackvWbxiXra0xc3632sZJmll9E0V7kGRb5zMiBTZfQhnA4lM9Iu4D5mSmi2N3UlsZHg2SyOr5cMMwuWwacnyeeV7ZE4VPT+qckdt9dDPyqUpzH1yShW2WBKeyMk/P98cABW2WGrDt9sEb507Zt+REcUMGuMkslNcx/HZ9mYXBLNqKdnC5x2HM4Utjh9i1Tc75XlEOiKpc2WNpmDKOQAKD2Crz3uFW0zX8axsgwr24ndwXU7KGR4acbYVzL/xpR3sPfH7HhvPXA5Qg+Mw3JOU57oEmlasA/cgNy0crHqvxVXtqrRsDwMzOIuWLJ8XxYQvbam6JQkMHY9nVbjtrgn9k7zuNiCfkosNyO5vbJLpPLcSxumMqlmdFqZ89dqMev2XfmF3F+65k1xjPDgvyL7yzTjsSptMVXFzEOtbXfDk77OkAL8nfxwG1E2YHrseSspUx3sND3NOwPP3aQOY1qh7rmJtbJxJI9l8wEEp5szi0GUDwOkg8y9In6L8x7iYUq7LSaFpscDwJ5wD2biYQgNzY0KVbTUlcb3spSGZikf6UERwW5S/DwdrfjumKzRjFu5BkRccRzFMPn/RLv0Q1xP8ik1Z2VzEOm0pxCiHYDMX7bXFHBmYsgUvGR6yZS3N6Xd4CO9PaNgWjTGD5NwHTVX8wojq/8FGQWQyOI2HPDcWlRuzIj8JzODhzlCtwhYHIRoa1nIrTfwp22qKUZIenIK2O0lhsU6tqe/W5lKdmRKcwHvJ8Mr139oLCpHGhhbsRUFWus0UYIFxFlKfJa/2wkz4zLjKb0fBGHpqSpU2AWsZHEdBHB7Ca8nvzwe4+wqkMDT7FuzVXgGd51GxKSvBd/ntlpCVipuxfdj13R3K+qflSimFjJkONFTGeYSA+dLat3Q+JZ+r3FEUh0W78O88VxMokKbw55csn1exDhS2OY/NYKugfVnhATzkw4NoTlxH4X0RxOoZ5KGQvLZk2bz6l99+WbkPYxvERO7gBB7criOmMs6iYQ5M66nnvEOIKn5hREACvuuzMpXm+RCYsQXV6ToO+ZrrCAYHnmtxIV2VbjM/dk6x8KtZDd063/9IH6bQ0R4UShWbsmJ09T86K4VMpB9FOZGx0V7IakLDaDRKtjs0tjM/qZZNjT+ppTDHMZShxMR9JSEFMCfL3B77E3jtz/90kVCzJFNF+yMi/SBhFbZaQm3j1rBmTVoVPT8qJuPbt/yqfIspXhePCakSp8kMAWVhRWgBG6rKjdDxu68kJLmc4IHgpC1+BiJ7GfLI6S8bL/rQ/vDbL+GM1HkqNfelxVC/eGVKzlpvBudHeFBjnDXims06EbCBGedMNM6BgLgwnyV/H54BT/08pmrWpB2EdDfuLf+js4CnXEhJ0F31WgBUQsNo7PP3obhVSolsSc7DAQdLnvPYjNC4SHaL9ON9bXhzj/rurwx57hU8NwoMuG4aa9bANO+7Pqte/DAEydOULWGs3IIxkyg0bN+xHQ6O20LX4zau4c09QpHMmbVV/ZutatmiOZzvnbYMFIzT+Fldl5MSUBrpx/3jOmJKGGN4EN/r9i2/Cjw+g8HZUSfnInfUGbh5r8VV7qgt4aGUzDGgkBkj7oPYepY1ggopiPW9Dn6fOV+UX//s11/E80knzVevBXUyMIOcDQYEriiaEiQ4tzs8UwJTDmzCfcgUeha3lMXNDjK9ogENb2AGz/qKm4OCji57aUh5TN0w7sJnonodXg+PhbwbNvrcdt7NAflkr7sNyKfkkiT0GVB6SpsgbShuxnRVWPHadOx+OOEkxF6fVZF+mFmjvZpkNGcJaYc5C5zKhwdswQDyAVOy3cHUMjuECEN6DfwJmB+jNybUogfgbWBj4Zu3xEAamHHSyY2TGaEAUX5ACpT7SgJr7jNpVfP1flXQZglBhNjV9ncaQSlZEERIT8mGb7cpbwZo16Jdllq2aE55sygKaJaM9mAayilUzpzOcdC/f2gERXnJdktSmCs3ooiLdeLwZSJyYaslwX75+xz5RGjYCScsbrZEB73oAUw/6dFgYVuy3ZJclNAImsz8djxQqtdiUsu/8tsds3DuqEMWKdptCRIzPAD0rD9pyYOLmn7jPLTfkX6YLSlXCI1gLc4ciCXLkXpLc3VBmyWbGgZcskkyzqZlCmeczqi6mrha9c1OkJV0Oj2LDX8czUNw0pnGc+pYsxrIZwbMcetRttUU0zzvQ5LCXCeyqurlARg3D5uSzu46Yopx3jiDIqis0aGtkMJinIJ2nJkNJBPFOrGJantnmwo/PalKtkMqIFsx/RClmTx3FDKe4p1472IdKDqjPbZIMupe6xE/hVBjtAGf0qPyLaZovDnpZGpx8U5LgA7UUvvj+P9Y5HuvxWXzZJwHgrOsEdNBBnu5jpgS7ljc7ATOhQfwOau5Ly1DA6Koi18YUZ5r8Y+dU4WtlpiDi3ZbQuPj71/WaEqBUtoEs25hiyWFXWgEZ4bkGO1DsUGD9eIV80Jco0mZ9B++1kW7LAnxo0bdczWhli2aEzLcogfgCTLOpwCYeHZMZI4FbWhmaFYv32Iq/6OzssWjqbhsqylDFWJ2SRejuZswBg4plFIiAyrapWVp51MilVm0ISvggsAMCjduTPL36YZ1CF/fOIuMj7wuNDeuS5DCEnM7/v7XIEc5nVGLV6ZU+OlJFenHfek6nlV1SxI4T3R6uHEuLXko4SFbwgjzDjiBrLzfaQDmJJ8NFRv1speGsDXXxKvgE9Mq9NSUqlmDxsW4kJJhFIPsor24Z4p24bNX3GyJxLR4p2Pap8+EGxUGwZZuM9WZn1RLVhMTvPnZ5fvEjUTNamz6iLGuuDmovFlLqFveLM5qynWN08DC8zMY63S2Ajx/8vc5/iRmNHV8fwsGTD22DAWDT0yr2lVpSPhMnXe0C/IpAlE46Y/024ID5tAqv90ZuFVuzAqQgecB85O4xeSzyPVQEj/X5aSquh/StcqNWWk4Q8NoEoLjaKYqGrRX6hBUF3/+vUe5H9YhqHHtVdPUNUIdKK2M9DsNGb1HzPrhPcj8qsJW1BfBcUi6Y504C1q+16QifXhGE0xTWZ+9I3TUdRTP0bwDGtO/Uw93rsVV+ZrZuw3IJ3jdbUA+JRcbkLxd0LxyNctDlNg/TraZKh4axuSe2vm8AziYuf6mCbx6XUYe/AsTSgtbdb7BgoA6Hq6cQEe7bTHIcrXtMbEdCE5A33r7lh8p0zN4gJRtxfQzMGOL5IKTFwZZleywZHsR69AP2eNZOUD9if+Pvff+jeu+0/3/De8me840zgxnhkMOe5dESZElWYoaJVGURImiqEKxib3X6ecc9Wr1YsVylWucOHLiTZyyKbtpm0281+nCBb5Y4OICF4sLCJ/vD8/neR8p+eL7qwCBBzDi2DI55ZR3eZ7Xg6TiFU3AVfIwLmOSXnzUlmkoEbw07Mf6HJE4MU/Bn4ZJb/mqNHCMryQlLDGQchGinjtJPNh0kGNpuy0YXiYeh6Z1aNMTOSiVrZas8/kXtyQ0bXptfC5sRDjheTJbhZko0QEdUnXYJTEd+vFuyJkWbUFYcvIbHkf+g1JKDMIslMi3jz2YQojZJYQnFo4+kfmi/SWU/AjjXze9lJMVH7Hl867bnFP1G3LA8R6wBVHqy+HBTmkHQ9TqNoHwE+vDP6dxlijpmm1Pr/JZhBT1Ouq//+qF5EDLUpjxwEKB5mIW1sEZbEhoiC45hJyKhpeyEmxJcpZ5My3G8erteYTBjUBO0vL9DqHAeS1bYBCeu0mhyP3hTy/I+RQZQQHsOYmmyDxtSYovJRJszArm8d1U7rKksGXT67UxfTUu5RCwdj4v2Q/Ml4kM49ylFI2IZerqzdspZd5EUd+4Nqsiw45q+X6Hm/o9gOI80WmLBMdroUj8/0xC18bv5avSYmIlscY8m1eNa7OyOaUMI9aHxuKTLwAkKD5qP7VpYLHvOWEJQci4mFPlbW5oKolKJDZV7rLkvhWadANY+Z15bUsGJI0fD+Bn6ulyaBrvYcWKlOQ8+DMuTSwy5AhcItHpbkvo4SAut7TdlcMxM0QpQDLqNsPYHDuO85wyG3/WpaZ5bUt8CdxGeW2cM7zPsjCs3ZKXLCUCNShBCk3hMyzqxXcRGcIgwzwPr075XhSSfD++PO49X/zpBWVcz0jTX7EbzxA2hoVjjqCg6zdALhdYtGU67rmbVIEUiv7SA5CpmacB5ogfwwaJmz5uOmL9jsgfq3dYArvwp231v/9iCM2PuOOm5TB483cX9eCcqWrBgGNNaESkeub5vODcm5brjJE3ZlXFHkvw6oFFW7xVfAaFpnXTfzcJsITOYDLP5EW6FBlGU8XvhJJaelL6frpdhkTNn3UKPpop75QgRwdxbnhO4r7lu7co31/NNleu96QE63tfeAUTXNkKuV5RjybD2ZYQDDmQCSRtIbSFJ1DUM4SYsl3jZeSIcANHomHt1rzAOEJvzCrjQk7uNcblrKC/4+9MquAM7tebv3sY9wCdV8ProXqH5ao0OnDe8BriZiaQxLmz6mEfBkd628Frgs2t8XJWmaex2SlYwLYv3uUo3/jSBuRZHksNyHNySBL6+VngbofcUDzSOzwncOOr2omHEnXQ1AcXH0VhULZPB9jN68yCLjcsKDiLhxb/m/I2l1/uy2oEo55gFvU4YriLDriEi5LDkBFEhlH8e23c0EoOIRXduJyVqV5wBj/Dc8IS5GMgqR8mvY76X3/5MuQMmlDEoCzzXF7W/oWjT3tASAgqHHUEB1ixG5PYVTXzQj0q24fp42//+IKq34CpMUkqy9ZkVMO6rMhR4l0a06hlYCy4K1shIfKcRMETmnJkUspmqalhUUXenhZDN5OIOSmi+Z6EKNksaJRjZAjvn6QSTq5pzPZl8dCMPpiSrAKu8YuP2CInKD6KolYpJWZZXw4PUnoSGl/EZsG4kca0/Osj4h2Id+HhcOE3japmGx7QDEczz2AKF+/S4Zhn8tKYhaYxMad0gyn0ZftRWNB8WNSDhzObDWqpqfE3Lmfh+eGGRwfV3fptFegoWupSegDfi3ENBDH6X4i5LT5qywQ80YkHH2lcBfPuZJPnEieS5OCXt6H4TnTaUniyYfBatkzsardAV8/UcPM0NpfL1mSAkR5D4VK5y9Xck8Tmy+PnrFiRkowLknroWSjb74Z0eR34JEKTKGDqNrkFuteCfMGf1o3qyyDlMK+HTWbhGJqET74IoDi8mgF6V2Nxq1oQBubLg27nuZv8u/sUNdu+nC1p9qXttkh5GOTHf0Zkd8G8Lm7aXbMphwNeC81VeMJx81S0fJPp9PQiENpQfBQbz8JRR5qvit2WJNmXHEYhW7cJcpZVD/tky5ToRGFDz9ZXiiYFS9zxL3vQ6GwDIWvkX7fAoJ3V2569btI2N1Mlh/E98R5FGRqL+NCUK8Wkjj/RgdfAwo7vldd7/Bjum8xaCo/r7B9NtyOmmJ4r+uyIeiViNn4Mn1v1Dv380FJaX86WbXGsz5GtdcVubIC9Nt5r8RFIq3iPrNiNLSe3UI0vYtPof3VeXne8W28hnxiSFfVgMBE7DumlUsDweu4mxbsWHQRlLjKk86OuA2Hb8v0OVbs1D2N4vwYxZLEB5tbRn8FwiX4sDqGCM9oXMYHrgplNBA/Q40VsMuVYpOjVbAMqNvrAhQZw40kognERwxrzduqp8ELP3SQof1r2t+Ozg/Lv/VlbQgAjQ2gcKSOu3o6NLg+Rfr02hy3IlawM36iUMG+nlNeBv4ivreajYeXL2RJC6nVwfZS2434eWMTvIxq64SV4dUibYoYHJdehKX1evzshaPTwOBQY1dvzch5yu1e/ISe/n6Gba7/TLTlL8W7ATnx5/H9er9U7LLkfkoYZGcF5HFhEjdOwHn7MxpolCtazPJYakOfkYAMS60hKcZc4iIc5H+TE6haOuoZi6vSrPxrGq2lAEwAAIABJREFU3+vAIa7WKTMo6nEkQCrerROmKYnKYULW1AA5Byc1xUfx4A3O6am/JkL57i1KsVqzLS9To0SHLZsBhh16bRhP/a/OS0HFsELjSlZVtlpS6FfuskQrK8WE3iCQnKKUkoLcl7clhJAa8vCEIw0UAxUjw7oA1YXuO/8ZE1lI41rIEmJ9ePAEX58DcUrLjMo+GBOvRnDOEcQqccPBWUfyKSidWfudbiEXFfXoHJEHU/gOUrZgBaMPpkRiRXKJL2dLHgoLR/Ocm7pMUhG3FSSgFfXq7ZgmF8WPubQyfxrFPIOgarciP+HCbxplZR6ccYSsRBM26SdMXq7Z5uZc0NyaOGiL3CQ4g+/duIyE8JW1wBiXHLLFWFvUg+Kk8K0ZtWxNRiQWTM+u3gHTOAseJiqzOCdWNjStk34HntCtX4Ysiw+wyAgmpeFxnBPF706oyl3Qc0cfTMnnVL4XuuK6bwypxrUI4Yp3oUBhNsKhH+9WXgsPXdKlKCsr24+fzWkz07mNS9BTV2+H9t97b1GkDCuaUoIQ9txJCnXoiz+9IJ8VzfwFC3j/fn3ec6MXGXYzXcxbKcFzU45l3kyLtKRit94QDuJ75dbx8z++gAHDgykVO45CKJDE+e21/94DQokQEbDhCdwn/usvX5KUcU5wuT2LvzOpKvZYMvkn+jPW7xLhvLYlGNAnN65FPe41Gp5wMzQa1sOwT8kUN7ssoFicEaLQ1LCIDcBBFEiBJIYtVTtd6pp5Fv4SboLi3Wgeq1os8ZU8fhRQ/iwkJomD+AxjxxEgV3IY117sON4byVjcMPn1e0scdItd+ns4RCH1TQzEGopAzGlwRn+32k9AiiFJfgULOD8fPwoIWpgbYm5na7bl5bzi99f+ozaBJwTuz0sBblyGn4LY1PgxNJI129B812zLC9I9NI2Gmq+d0luv5RqXowOQ4CilsGXX8rAVTSlskLUfLjijG+abMOwzSLD4iC1p94R/0Jvy2z++IPcaUg2jOlncrz1ZlO6VtuP8pMcwMuwI+ljkmpdwLfizbtghvX6RIXweXgvJ3IRHBGdwDRJ3zlRyhgEHZx3XbziAc6r0gC3PESJug6/PyTXHjQthIfEuR/xNa77do8r2Y0sbSOE9Mv2cw53qHZbQyrh58NxNonHU7630/XEVSKGpp1+KW2XPKWwPGXBMaV1RL+53lM4xs4mhlzKo0FRENpuUQRLmQqVEeBy/y2thI+3/2gI2RNrXRQ8IQ4gjw45a9/UDSw3IMzyWGpDn5GADkmhJygOED+TICB4y9RtyquGlrEvO0CvK6IMpVTCPm0Zlq6X8X1sQE6LXskUb3v3TnTBh300q83ZKtinG1YxMzGu35qW4evwoIEFT5ILT2EYNLR9GnN7Fu3Fz9OW16a0fshIWIeZpS3lfSSLL4N6iPAT4oOG0j5p3ooIrW91iyDyLzQMZ8jS8+TPuzY6G2/K9rtyDEpeiXjRZvpzOfThtqaaH/UAWj7rNB/nkwRms5wsW4Aug9IrTODYape+Po1jQZBDjRlqkaVyBh9+ckZyPwjFHdMfGpZxIj8jvj/U7Qv7he6RUo6rFEpRseNyRcLGiHkxhzTPwtXhOQacdmtZ5E2fzKvOrNapusyYenckjxVb7arhR4IPGa8N0S+JN03JM9Sr24PV8/scXpLgpmHcNsQULmuLz+hwgBWcxze3+6U7IFybxmRQfQTHuuZuEbOkUii9+r2T9127NyxStdmteNhLxbuj/iVkNTekJ362Uqt+QU8XvTmC6++q8uve7MmiQ9XZJKfiJmHJetzmnVpfPoLjV5K/QlA72041ieBy/o2AeHo/io1rCMYZpau0WNGm+HK5N4pQjb08DNasNnv60m1zd9LBfJTpRPJPaxkwBX941jfM6JJ0o0eFSapatyQiViYhi6vGLet1tZPERW4g0xqWcZDNQ5nLox7uBBH51XkItnzwCKTcPp7wN5wU9ZxwYFI7hdxKXTf39hd80QmZ5BvcMbjYjQ47cC/p+ul1ep3kuLxjTeBeKTsIzOLWt3ZqXbYbnThJZCOuyYqr2nLBEesaGvmE9kNHGy2hWmIsTfH1OJE8EDzSsc4lhHML4M/j8CuYdoXUFZ3FeKaVED8/Jri9nCwo9NO1CKaq351X9Rryn6KArsyU4I9GBYUxwFkV69Q5smrlZKD2AotS4kZYpPr12sX4UaQ3rkIXEjbfnhCUY48YXAV2IDLl0PpKHCubxcyv24BosbUdTxgY60el67biBrGqxZIPA3xPv0h6QUWwK7F+vkkbNPG1JZojXRuHpOWUp81ZK7lXxY9hgMNwwPO6IXI5FPYlPjx8F1Kqaebnnb/3eIXgntWyt7IMxNECXs8q4kBMKX3TAEaIYwyGNa2hAQm/MquiAI9kwxhUMcrZ+79BTDWnBAoYYXtuSkEp/Bp9NdNARWETZB2MyDKjcpUNeT2D44LWx7WGOEY/QFD6D4Iyj7v+uVO7HnpOW4NgJdjCuZ8SHFX5zBvenN2YlzyiwiM1L6QE0p82fdYo0y5/BZkS8kgdtGVx6X0mqFz392OJqGSIJXwXzjmxLSg7hPsCUew642GT7M7jfM6S3qkUHcV7KwSs3i+/xl3/4R2xdJrVnZcoRoEnxES3TvJRTE9//ylID8gyPpQbkOTnYgAT7U6BLzLsXXLwLf9U050V7SvMspxT0dxjXMlJAxo5jqsPsA2o+GeBGHX3hmC7CNGGmshXTBRpS6bkwT6MoKz6KG2tkCA/u//tXnwRS1W7FTcO4lsH2YNh9sPLGyICwylZLQuGMG2nR6geSkGmEJ56Ywne6xVDk7WnQil6dl7C7um8MqUM/3i0SAKJiC8fcnx3vdiQ1vnZLXjjxZfts0QRz8saCLbCoUZDXMlipa7RjZERreU9ZUgyzeOakLDLkCCu+5DAS3+s25YSG5X0lKTfS6IMpkXGQkEV5RmARQVPGlawyrsNfQVwpfThl+zD5pL46OoiHg+eEJfz3wlFsyugv4QYnfswRLC7hBpxMem0UTStrF5TnJGRia77doyIjWsf73rjo4INzjjRLzZ91Ks8pS2Q2nGqGJt2MGr5mmrATHe6Go2DeUQu/WC+SJko5yvbZog8XWdMMJqjUO7OJC02j6GHII2WANIErBbkMJ8te21IrVqTUf//Vi++mFcVQZBjnxL4f7pOiovSALdkqNOxyEujLu5NWSqAK35oRySBDJYnHrWrBdke2Ua/PKd+9RWmUA0k8cCkBKupx3IDCK1mglLvdHIvGFzOqqsWSQL6aZhTy8W7kl9Dn5MvZMsio+HAU1/j5vAQbslB88gi+PqfMM3nZSiQOoiEgzKLksC3EJg40CKPwnIBxPnYcRQ1NwWzky/e6KemURFEWxAa7tB0TfWaQMICQfojBf90mdLSiHneDap7WTezVjHhKfFlbNiuRIRhia5pxbnFTw9fCe21ViyXadgIF6L2Ld+OcYrP0+FFAsmdiffhMaBgm/Y0yTDZ8sT681syv1kgAY7zbnaaT2la+F/dUgi/CE2isQpOOJGEbl3KSUE9SWGWrJf6gsv24/9U0w68QSNlyv48OOCK5NG+l8PfHXJw3fYmUwBG6UfzuhCRehyccadq5VSQVTCmlKlstoU0xZNO4npHcnNP/vgIbO93M1zTn1fpPjynjUk6oURV7tN9xjyWbaPMsNrz0k1W1WPLsKz7qysyIVC6Yd4EJxuWsyN7MWymh9331n4/AV3MGgxBKTp9s8CkPDSxqKfKFnITWMt8j+Pqc6v7pThTp2mdX2WqJPLDwrRlRBPBgfojXsWSwVrslj41HypX5+bO4XqKDyFKhP+7xo4Bs+NlMc0tX8eGoNPPcXnhty81oOWGJksI8i/OE3i2qCAh9oIyTSo2aj4axtci4kkM2v7E+NLpe21Keu0nZSkYHgQo2rmE73vjxgGy4QpN62PranCsbX/KAPNNjqQF5Tg42IJHDMEaSU89pmHEFprFlazKY3mdxwytvs0WOUNMMUhOn5Ax1Mi7kRLZBw2ZoCnIPf0Yz5Edwkyk+6qYPmzfTqnEtpkWcUHMyF55AwUPzWlEvJnplH4xhApxHY9DwEpqXwlE8sEmCigw7kghM/TYf7IFFWx4YXseSmyAP81YKGthBFC6UCNAzI5NEjQj1p3EjJYbTuJ5x05h1oFLDelBxKNvy3E2KxCbWr4PLsnjYE9PoT9syqSN1zHMChtXSdlsC2io+HIWJ87CWujyYAuLzgO1ORLVMzLiKaXTzZ52q8UUEhvlyeAhGB901OiVCzByJDrqTdaWUKjlkK/vXq7C6bsWDufmzTvldfOB7bUtt+LRLmbcwlYp34eHC3Ia3Po9DLjbgFh6Jgyga6zbnJBWc59eTWSFPpaIfgWa7cW0WU+x3JxC4eG9RwvU8J6D9L3lvXLYPiYM4DxgySDwvp4rMfYkd15IA7bvhJK1uc058Emu+3QNjbcWsmNADKRgqWawSNZnotNWayJhM0us252RLwElycA6fC3NOqPuv2ZaX858TduI5vRbO26aH/SqwiO+fONOqnZbgNZn6Xr8BW5+CBWwrzTPwRnlO4bvq+kmLJDtza+A5BeBC1U5L8lNKDrkGZPM2mioWWyQFsVmu3YritHZr/u/uU6Xt8ARw0EDaUOKg9lxdwmZRAv/WZgVuQZlgUa+jvveFF3Q0nVMQnnDpR8SMVu6CLItyS0I1PKcswXB6TuH+QZmjVzdukSE0BhxglO1DsW1cwXuO9btBpSRUNbyUlU1golPr2fdgC5votEXrLnhhvR2t3qFD+5LuRpKNRcECGkLPCejbA/fnESy4LquWf+u4Mk9bgvYtmIePoPiou8ld/+kxSH3uLYrmnptGEg4ZAOfPYkjEQEeidLnVzvxqDe43Wv7G4FKizNt/1KbiXY68P0p42BxWtqIxYANsngP6O/XLtZIDQmIZ6X7BOXwu5nkMHTgoUEqp8ITbYDd/1olmYMEW2lvFbkt57y1iSKJlw95XkgBr6Kyfqp0osgkQIdihfK+tGj8eEKLUsjUZZZ6F9y1+zMWyR4bcZi7ejaK4bD/uFcE5yNEIEqjchc8o0eH6Ttik1W/Iqa/+8xEJ8mR+FAcU/MzK22wJ/qTcjO/bcwoNunEJ9CoevpxLIIsM4b5GD2VNcx5yql3Y4pe+P65qtuVVw7os8Np6UxceR3Cx17YEW2yeRthrUa8jck7PCQQKx/pcTx1zWSj74iaR8isOjfwZ7XPM415AVLlxLSPDCaLIy9tsea6RqMh4AG512ahEhnH+08NavQO/497vytSXz88uNSDP8FhqQJ6TQzwgB5Iid1n1sE+Md9FB0CBiD6bkwif6ksVW7MEUCtMe3HQbX4REyTwPsoXnlCVTlESnfiBrykVlKwr9FU1Ibn4yYDA4BwNcvBsPSOo2JVH77WlZ4ce7cJNlCBanbzTf1W7FQ4sSl30/3Kfi3UDCht6YVb57ixKsR6OxcRHhfjzIDWcxGx1wJL030QHfTE1zXgL3EgdtVfDanDJvp4T1To06Cz8mSQdnUYjw/dU056Uw8uVs4fCX7QPBihhDmsBpkP5ff/myFKiJDjxUi3rx4GOmh3ERAW3cxHB6RcTpytoF0Qg/fhRAAabzUmLHXXoXdd2REdBplFLKuAo0MbXolOgF5/AAWLYmI40nDeo0tJPCVbYfhVBoyg1Uiwy75s3arXkVemNWGhN/2paciiebkMK3IDtj9opxOQvZ1JAjqOREh5tFwEkZM28CKVt8ScYFTCH55zK/WqO6ftICM/jNtBBWqNuPH3MlimwCSg6hCFBKgfr0SlKIcIFFWzU97BdiW2ARUibCDkimCk84shlpWJeVQiA0rWWIOkG6ege2KDR+rqxflC1jyWFbtf6gHZ4L7SGiz6W0HZ8lk5xFrqfPn1U1SFM3Xs7ie3x7Wpln8mLWNq5lVOFbM2r5SsgAl61OS0MX73ZARUrZIgWq3YpppHE5qxo/HkAxfPrvPSBEjUaGYShd0ZSC30ibaMvbbBV5exrSy+sAHtQ04y8Ss2jGjnfjfkDKUMGCLYGGvJZrmkHZaWoEoYjG+qoWS4zwpG3Fj6HhqduUE48W720NLwH5HO/C+V6zLS95CyRs+TMommh6991blM2Y/9V5SY42rgO/XHJYyzu7HZGBKaUEiFDZaqnWH7Tjzx5yg+p8WVstW51G0b7PzejglDh2HPeaWL8jxufQlFvoeS2XiOi1cR4lDuJaXVm3oMwzebWiKfWUZM24kpVU9tAk7hu+rAtKqN+Az5WbhXgXmjcS8IIzjqr7xpAEcTLJmvcvNpv0ryQO2uJDIeWtYB6fPe9RsX40J6se9qFgdSyhDgZnXDx6IGmr1ZVzQk+kBK1qJ4ZuEnh4PaNqmvNq1cM+8W4Ekrbgf3l9t3y/Axjh2yn41ZjRcwnnJmWzVS2WCr85I17G8DiulVu/rYIcUjcPq0tnVO1Wjbi9k4Q87CSeB56TaCoKFmCOZ/bW6k96ATS4nRISHMM9yz4YU7Vb3OcdQS5HftwqRMHgHGSXjR8PAJWr8fkcntRtzgHRrcmDvpztNpJfH1HxdyZVwYKtjvy4VbxBLPIJuWHTXXzEVk2NSSEEGpdy6vM/vqDiXY40rczAevwooFY97EOA6lkMBZqWJ1XxES1Jvbeo/K/Og/b41gzknlkXRsLhBVHx3LQV9eJ+xOaNkk3vXHKpAXmGx1ID8pwcT2J4/V9bUAXzmLrH+jB9DU3iZs31a903hp5aaxeO4UbT8BL0z8TdBlLaM7ATk7bIMAqI0vfHha5Rsw2yg/K9WvqQ0QSPiyjYyJcnmpATPuMKVv6hyScelJOObB/Ms3lJa5Xpl37gfyUxjU2HNmCbN9P4WTp4jROeWL+e+KRcOUjFbktt/u5hhOrp1NXICApBpiHTuM2JC+lboUm36OaDl9kIkSE3LNGftcU8zMRwXw6fS/wYHj61W6Dt5+q5Yrcl4YBND/tlKs8MguJ3J9T935UikG0AKe3U0Cc6bXlAlx7AxM6ftuWB4sva4i1hIWyetqSZoeeCjH2u/svbMCmKHYdB1LwJvTiD1/xZjVLd7Ab68WFduQtN04ZPu+ScDM45osWmr6N2ixuEWNlqqeUr02LYDyTxQCkcc3M+2BjUbsmr9/8zKmne8W5HfaUY24j6jTj3qnbCIFm23xYddqzfkQfiiqaUTOaKenE9NDUsyiTbcyepCsdQcD9+FJDpHRPji3oh0TOu4fP2OiigRN6j/VgN611pRnTQkYaFW8HKr4+ous2Q11GSEh3Ag7luEzaIDEUkXY50LK+FLcLpf18Br8HZvASYGVey8DLpBGYmP9M0HZzTkq9eR0yt9GLE+hz1X3/5kirbj++SeQMl740jzFPnO9CbxMlqxYejynsPWTB/e8z94iVJUue0u24zhhjm7ZRaEx2HBOliDnSxN2dUySFX3sfEb25ijctZ2cj5siDcdP2kRVW2Qh/Pc40gASJ6K1stAV4ULNhigK3ZhkYnMqITnGcdyS2p24Rz3LieEdRo9fa8bF653Yp3O/LzEwdtSYBmdg8bxOigTjdvRSFMVDiBAsylaViPLdDJX6/ElvQUvBnGtQymu46LTfecQhPo0/cfDkko8SECPNYHiUvFbkvyY3hv4+Y23uWI/4E+OPMcpDKlB7CV4KaD22OeKw0vwTtS1IPvuXwv7kkl740rfwbyOaKojctZkVKyGfScsGQizg14w7qsFMVKKfjBdM4D5UHBGSB0/RlbfIqUcZa3oWHnUIbbIDZY0UE3xyg66IisiZhgz52kKupx1OrSGeU5ZQkYoWABAypul305TWtctOXaZ0I8h11l+3H+VOzBEI0+GON6RpDmPFdIiyvqwedSuzUvz+fwhCMSpUQnCmsi1HmU7cc5ywFMZasliGfPnaRIJtd/ekyeZf4sGi3jagZSJT0840COVLX/+1ffU9kvVS2Qp3lO4HN5/CggSoGK3Zb4JuNdeJ4FZ1z5lnExJx44AgWIEPdntE/makZACdzae07iWVYwr5vPOUdoaf4MXnfBa3Nowm1Lxd+ZFJy3Z36pAXmWx1ID8pwcbEDC3SnR/rLoZxHOB1N5G4xk5pm8+DnCOmMiPI7mgkU0pRKNa7OY4ud16FDWloKJEoCS98YlSK1iN3SctVvc7UVpOwrius05QeI1vpgRrTEneeT80zDIbU1kBNPveBce/MQFBuccaT4qd1ny4KzeYUk69ZMraZruvA4mont/uF9QsMSLJjptKbLe+jwuq/eiHiBUafxt/qxTSF1MjvenbbWyHiFsnD4zrTiQxASK5BNqexloFjuu5R4aNUuMcdl+mO/K9rnFDBsi41JOPD2eOwjNivWjMWz45qCq3ZpXj/78D4J8pcQtcRA5KcwCoRFYKSVoy+IjOqW5FZ9rosMWIEB4HIV+zUfDavrnGzGJy9rqw/8sVJ47SSF2hSegxaXchlkBdZtyyriYkyK2bB8kZiyEG9ZlhQjz+FEAuR+HbaGoFfWgAVxdPiOZK/Rn0BDM3AzmoRBK4Lu3iIdRl84X0cSv2i0uXpL+iKaGRVW2HxjMqp06VfsCDMPBGUiygrOu34d+k/K9+vu5nFVlH4zhdWmOfWUrfo55Ni8+HpKVKLVr+OYgpH5aQuTP2PI50M9hXM+oyl3u5Jdp4eY5FCn1G3Mq86s1yLHJoIFjrofXssU8TwkWczqM6xn5+cu/dRywBb05ivXjLyYYR4b1darpRYlOd3v5t0fJYbfhJBEtNOWI3PDJ7WzxUWRtcFLMkErzDLI8OCmv2mkJ7pMAAX/GnQgT0MCtpXhIdljIC1rE98TsFspdIkPI5gjO4O/9aRT/iYP43oIzaPbMc3kxlNdtyrlZPXttgYGQ8BSadoRoxqwTZhkxPI73SPqcmOzMIEvvvUVsC89iu8qkdX4OBDmYZ7ANovSzvA2DFeNGGr6DLF4H6X/GRTS6XT9pwSbjtP5u07Z4Cf1Zl+RWts+VCZI2x0KfzZhxBRJa41oGmSGaeGdczoqvr6jHpZBxQOFPo6HiP6v8+giSqzO2NGokSTWsz4qPzK8HLes/PaZqmvNSyBL2wGdW4iCuYU7LC16bA3TjpCWeyMpWS/nuLarS98fFs1b59RFRFKyqmVdlH4zBq6HlbcVHcR577iIA0jyHoMGqnZb4iXx6YMatMIc3wVktBZvA66FUuXYLNoxPBm8SDsIt9IXfNKridydkUEGculIKnqSdloo+mBKfnXk7JdkqNR8NK//XFgQ+wIEEQxQ5sBCM9K0UJHRn8+re78qEmGXcwOAosOhey1Q78H16TmIDTGR9ZAiNJQeJEuao/XdFvRpDrX1L5q2U8j8hH2ewK69Bbo7YeFCBUdlqCT6d99vgnKNCvUsekGd5LDUgz8nBBqRq/byq3GXJmrJhfVayFvgXbyzUVjZ8c1DIMSIJ0OScQBJNA2UFnMKsLoXZrWZbXvjoYkyew1TOa+MBUr4XN4PGtZiKBRZdzbHXRpNgnsmLEd08izXtqod9qmonCkhOXgJJPIBifXhIkWLDfIbYcdcgJ/p7zfLnEZxzJOvEcxLTR+OSDih6CVQR0TDrzdHylWkV63NcXXcXitzgnCOymegA/uyTWnxOMSMjLlaV5su9P9wvCEpfThuIdTPFB5k/De+D5yR8CP6MLcFnpQc0I/0KgvHMMyjmOv5lj0AE+HNrmvNC0QlNIdiNIAFOD82zecHwBlKQwtz9bYVM0ENTeJBFRvQkbkte9f10Oyahr81hqtaHz5ufCbdojWuzqmEdJp2kWhGNy63E3C9eksbKvJ1SjWuzgu58chuROIjVfqwPryP6YEoM3URlVnw4CtSmTi735VAsMSmYviPzLOABviwITqFpTUS6m1SrP+mV840FGHNN2ID4M/CVlH0wJinNpQdsKQBZSBSO4Xv12pAGEfPqy+LnX/5NvVyDRb0gznEoQDModeaBlBu857mDTSMD8Mr240H+4X8WquDrcwJWYKEbmnIBE6Ep1/tR+NYMvgddnJmnca74v7aAxkVn/oTfnJHCKrCIoUNYI53L2yATYUhadND5u/sUBwtVLSiWeS8o26exwSlsEHx5nG/LV+mshj7Xd8DNgXE9I6+TIYrEdpYesEXCxwaiYV1WpJmxPnwf9FrxPuM5iU2vcT0jkp3QFDZl9MYRkUwpXXkbGp3/+suXkPA8oOEKGvnqtS0J+mOgKcEVxiWcn6uq5iQHhF4aUn8q9uA90g9jnsNAITSpQz7nMRRhKOqqqjl4TVpcb5TXtlRTY1IAI+btlKraicEJAQT+jC2baONKVsV0weq5k5QgzJJDLtCCXpCC1+aeAl94bUzBy/ZhsEDCErffhHuY5/MCGajenlfLVqfxz09bUiBHhlwcK5sI4+WsUkqJtLRgAY02pWs+7WUxz2IDRNleUQ/ep+eUJfLNrySmVSCpG10tYWMGDEMLjesYYhkXMCgrfAt0KOMifm54whECV+2WvDz3SKyL9aMoj3c76siPW4UCRoADoQiFY27qec02NIqUH9duyYuHpviIlr+NugPG4ncnkB6vhygcgCmlkIm1Bf5O40ZaXm+iQzcJIy41MDLsiLH/z396AduFc7jPU2JZ1YLnI32ThWMY0vnytkg4GbbJ+3XFh6Mw4F8GOj88AWVBUS+udeOSm9tD7HHFbkiazXM69Fg/pxhOyeFR4iCkj55TOMeNqxnxei1fmRY8O/NbzNugJpa228o7s7QBeZbHUgPynBxsQCq+qoPY2m3JQ0h02upHvzdgJuxzhNRS+fURPNx0IiulAuV7XfQj5QjLVqdVw7qsetEDaZB5O6Vi/Y6kAVfsttRXiiZlSh2cxU1z2ZqM0FfC4440HqFp3Ng9d5IyRaX5rm5TDghF7VGp3o5Jn3kLv6tuc041NSxKInZkWE84iFxst8WsJ6F0V7LyWQWS+JnGdbw2aSIY0BQYAAAgAElEQVT4EM5CMxxYtEXzXLUTBR+pIMxAqd+YU9f/o1qoNCxOIyNo/jjRCyyi0aPJkU0TH4ZFPWjajJez8qCkiZ6ZDY1rkZrLjYh5K4Uid8GdXlfvcMPTGLZUMO9IErcvh80CkcjF706IRKFuc041LUd4XNPDfnXrt1WSCRMZcmSiHNa89cgIvldiW0mLKTmMLYnXQtFV9sGYBEt67iSFNFM46ojZmVJA0pxoHo7163R1nVdT9sGY6O8TB/EZxLt03oo2hDa+mBGCFBs8pjgXjqGQYMPiz7rTW/NMXnj2RT06L0dLwaiXNy7mxNCrlJJQu5pm5JYwa6WmOS9SlNJ2Wx661dvxO8zTQGAy+4JT7tot8DT4M7b6/u9NVfeNIbmGKd2p3IXC0XMHxu+VtQvC9l/+reNAQJ+0JLE7NOkGGlIyRMlNIGlLQ+HL2dI4c1MRfH0OE+r3xpEgryfsxiUk2HttS1LRyz4Yk7DHgnlc3397lO9FscHwxfC4ixomdteX18VVSlOy3p1AwXQQ11vd5pyYZCv2WIJ1DiRxzzNvpp+i9pTtQxFO/LTXwu8jxY9m8MYXse1hUjszgXZ8dtAl92hzOQ3z/ow25p/JC8EoOoA/S3qceS4vYYJ1m3KyEalqAazCn8Z3ZJ6Hbt+Xw2dPaqF5Ni9yIm79PCdRDFLy5c+giOaWjJIw3ofix3CPpMRxxQrkZjD8jRp7yn5IwmKw2+NHARW4Py9T7siw3phr/xdfry+HBrGmOa+Wf+u48r6SVA0vwbMVmnLzF9iokwAm8sQBRzyGW793SCQ6JEYRLqCUkntReEKbzDVJjt6ReLf2bQ26ie/7frjPld0NuPc1fxpNeHQAhXHhqAMowStJZd5KYRDS7aoFQlOObEYrduv7gsag7/jsIIiSV7IyFCCqngGixvWMhByWtuMeSM9cvAtNH6mGhWOObHHMm2lX2tdpux6UIUidQ2/MqtJ2+ykCnT9tq5/94csCiGAj4r23qLyWLYF/dZtzKvj6nEp02uonv/8nNf3zjZBGns2r6IMpAUUwu4Uy6uAs7g+Jg8DMl+3HIM+4ArgN84O4rU8cxL8v6oG01XMniS2Qlstx0GPeTqmaj4ZlwLCyflGZt1MiJ/Q6aPhIzgtNuT638jZc2yRj0itFvHxlKySwJbuWGpBneSw1IM/JwQakZJeeco1j1csU0OrteaG7kH5Bj0bZPtyQiF7kjbv4CB7EXguTTeYhNHxz0F3rDmqayhPaS3oyKAmhL4PGVF8OEjAWZ+bZvBhPC0fxkK9pBpLR64C64TmFG1lo0iXaBJKQ9JBmQiQkp2H1GzCJpyyGR2gK/44NzLI1GcijUtgsLF+ZFjkD0ab0r0QHUThs/u5hocg0vIRCn4FmNF4W9QCdydfAyadxFX4BmnpZsJGDTsN5UwNkQgxWoyeETHvjekYmw8VHbSHCJDpsycJofBFp1dXbIeWq+WhY6F8MSmt4yQ3uY2FNlHN0AN8JJViBJL47TgYjQ3gIUZbEwqj9R23qq/98RJnngb4kyrRylysdM09bMpkiXrmqBdKP6o+GMa26mQbvfSf+ecWHo9jw6O2APwOtMmV7FXuAZq5pRvFnvAyPgHE9oyJvTwt1bfUnvSo0BUPr2u90q5O/XineitWVkGOUvIdGoWABGQCNa7PKe29RRUYcITwtX5VW5s20bKdIm6rejs2gP4smqajXkWRp82Za1W/IiXE7cdAWrxbN2USv1mzLq3f+MwZD8xwwyMVH8DOZ68HQyuggrnP716ukwImMwOjZsA6ha/6MpoodRaPtz7qAgtP/vkIIMvEuTdJz3M+45JAtBWjpAWxQl61OgwLW64amVe7CpJZI5yePxEGcx3Wbc5K7w8/Oc8oCLvSVpEAvarfC4EvPB4lA3PqEphyRcnLzVjCP4rFhXVbd/W2FqvvGEOShx1GIUstOucbjRwHxdHEb58vjmjcu5MRszUa5cheGBr4sGoWqFktQ1vSnbP7uYbX8W8flNceP4bsJzqIJKRx1JMmbvrfYcU130l6GqhZ3W0aJS+0WfR1reh4DMxnAymyIyIiWjGkpEBtQfwayq6Iet9jntoZyWja83Dxs/d4hyWUJJFGocrJdts/NQTEu5kB46sN7jfXj8yYdia+zqgUYX2KiC0fd4EjjMjYvlPjF+nB+RIYw5Gpci6JeKQWUeBKbkYb1WWWeycvr4IZrxYqUYHMpIWSxSk8AmxBf1pZNS9kHY4CYXMwp41pGdf2kBQGuE27qunE9I2AQkQ6PYIhS+fURaeQSnW62xZPnevFRNLEr6xZkqEOkORPGKYksfX8cW8a9+HzpiyBJLjyB85nPK2bKKKXQYOsmkahdZkmZZ4DjpeS3bjMoggyMNC7lZFPOzU68G9ei95WkZOUwB4swGW7oio/Ykn/D5ywx+Ma1jAw1GDBMM3uszxH0PdUFJClGhhz16M//oOo25STMs7JVS9wmAYHx2qBJEtFM4mT1drwWbiCXTOjP9lhqQJ6Tgw1IqCclxB2uXYt68PCktrlgwRZSSd2mnLr/u1JVtymnlq2Bnrz0gC0yKn/aNTczfI5r8rJ9tuQmcM1cfMSWEDQmpRYs4IZIXGj8nUlkdegcgaJe3OA6/mUPpov7UZyf+/dlyng5q1bWLihfzlb5X31FMJbUVxfMY+pfOIpJn3kzLcbloh43gTc0/bQHxOugSDKuZOW/J76S6++K3aB+RQd0UNIhN0k6NOmmwJN3TjlZ4ZimJ+nwL/Lzmx72q8RBhPH5si6xp25Tzi0yLkI2VHIY06r/58//qJoe9mNTNeka5v1pd33OAjI6qOUVOo+FUofwOEhOhWN4CPpybjPDqapfb4tWPexTSiGLgKhQFn1k6heOOkL7SnSgoKhpzkvTY1zOqoZvDkrxTmke6WSxPjx0/vuvXtH5EhNMpjx9IAWvzcmkvH5jTjZUlMr5cthmUXNeegDNMnGYbHBJ52IiMDd8xe9OiLndn8FDqWE9poo0KZNkFutz9fekYJln4BugqZ/fCbdKtVvy8r3wczNvpSSVOTiD/0+2Pn9WeZtuem+lYMq9m1SB+/MqPO6o1C/XyjVnXIIHJzzuiF6aOSbmaRC0aFj13E1KZsaKppQKzjriowjrTJdVNfNosobx/fKz99qYNhI5WrEH0/FPv/Cp6KD+XN+ZxET2bF62EH970A/G78Jruf4jNve8T4XHcS4VH0WjxDDQus05ySShhInbitJ2fDdexw0lpQSDnqrQtCMSFur5mxqTIlUpbUdRU70DnxMzOpavSouGvmAer82Xt2X4Utpui3SM51j9xpz4SwpH8V0XLNgyNIkOup6HwP15pZSSzWHxUe3ZOZOXxoBYZOruiQ1mIjXlM56TLvGOBXjFHnyH5m1Q1YxryDSp3IVQwciQo974vES8S6EpRzaBkRFHpGdl+zXtbsxFHsePIbjPczepjJez0oia54FWL1jA6zMu5YS65ctjm2GexhDEuIgGMjLi3ncYVFe9Pa/G/m0zpGPaA0ID9ONHARST9xZhLH9tTozYzFii3yDR4cIYzDN5aTKNyyhWGQhqXMA2IHbckTwOyn7YuDPTpLzNFuxsvAtNT9l+VzZYvtcW+ajXttTeH+5Xd39b8VSAHzOtAilbsm3oMyJxMn4MzzHzHJ4LpQdckmLd5pzyf21Ble1zUcQ8Ysex1fHcTQqspPHFjCo5BDBAaNKRQESf/gxL2zW0QINaqrfj2iehkEZyUr/WfLtHJIZsjs2zeWke+ayr34DPdcOnXQI/MV7Oyv1y2ZqMSI/prTTP43uq2ZaXgM9YvyMew+J3J0CBTOO896fdc43ePHpFKz4cVasr55RxOQtpYXJxqQF5hsdSA/KcHGxA/im7KMnn3GhwY8BpZnRQa8kX9SRkSgdSaeIOtaY0f3JiEB7HpKpwFAX8qod98Hpomk1Nc96VIb2cVYVvIRW6fiOMf40vZoQCEu92w5sSnbrY0nkMlPXUfDSMBGhdhDBZnRPv+o0oROo35mS1XbsVG5CCefxz0nGeNKF77iRR+N1OCS6Xq9+CBXxWhaMurjI0pTXRmvTifSWpFn6xXmRrTcuTMkUiZjTRaYtR2p9Bo7VsjTZiHsJ7Mc+jCaz+aBjZINq8SSRu5S5LHp7E3JIcE1i0pUgLjwOfGe/Gw9J7b1GF35zBZ9uhH256WxEed1PZGcZGbwBTcZVCXkPt1rx8T5yYMj2+fkNOrWhKQYM/6W7MQlOaYHYrBQmNzgqp3oHpbMP6rCTgkiRU3oYGruSQK0FaVTOvzJswy8aO6yn5q/MyXedETortm9CPG5ezyriRlobYl7NV5ldr8H3piWn8mBuY+JPf/5MyrmTxoNNIS2ruowP63Expcpw2sNIoqpRSK+vdfIVEhy3yLPkuNeyABfeqh32C0ix8awY0IQ0GMM/gd6x62Cdp141rs7IxqmrBwz/RCX8O81vMs5C/sBmibIOknfAEzsPyNnxmwRlXZrJ8ZRobk0tu6FlRL7Y09GIwjLPgtTlQiqbQNJMctPqTXuV/dV4tX5WGhEenHDNY78nDuAY9PaWDDFZcviotevLwhCMFHIEa/EwTnbg++H5YrHEyyvwKGmEjI5p2c8rVgIemUMh5bSBjY32ODBqKj6J48eVsmXAXvDYn09zogB5QXMsIIYpT1fAE8Mn1G3LiPSkcdSQMkZIlfodVLTDIrliRUg3rsrIx4vdHHXxkBOdkeRsKY3/WTfUOTWt5y5TrVyEmN7Cop+RvzAJ/O4vXWHLIFhBDyWE0QtyCBhbRFCxflYY06yi+h8a1WdWwHhN8XxbfA9Ou+b+RIWxIfXlbpFmUmPI+zy1j+V5bPCul7WgQCeBgpkNRL35e4iB+Z+n74yjE9XlV8Nqc+Ht4jwpNQapT8h6M47/94wtABA9j8l63CSGEJGA9fhSAd01LPZkr07gW20v/q/M4z/UmmHTFggWcX03Lk6ruG0NynjJNPbCo0e1n8tiot6BR8pzEUI5yuNID7u+kdJro2Mpdllrz7R75XuhdM2+lVPjNGSH5kXhGD+Xkz78qNEOlYEKPDOG/Ew+YHqY0LU8Kkt08g0FOw0sg59VtzinjAu5HxUfwnRNFHz+Gz4+5PCWHNSRBo3Y5aKjcpTOcLuWU18I2Ld6F84L+Q38WMrCS90DA47033uWovp9ul81bZFg/B7K2yEfj3Y4gtgNJW9DYrT9oF8oktzll+3FNjP3bZhji7yZVomVpA/Isj6UG5Dk52IB8+cQ8iE6alkRjKZO1w+OaRX8to4zLWRgKL4EAxIdG1U4UdlUtmKyYZ/Ky7pXJlC5+7/62QqZG3leSynPSncJx/Vze5hrZSw7hgUYSEotWFgeFo4769AufTA9pCC8cw3soOQwGvveVpGi8/RlbUsM5+aCRjdIsGjyVggyk8eMByIauZJVxOSsygPoNOcH2kdphnoe2uajHXRdHB7AFKjmEBwVTYO/9rkwehAyDJA2kcBQPi/gxNIfm+bwyT1sypeWDiLQOkr2Kj7pT+2VrMrJZKJjH6llM5OfzMtXlg+HzP74gGS00rMe7YMilCTn0xqzkqpS3uRKs4iOYeMX6HXmdjx8FVGQYDQ9JJCz+IiNAYBoX0BB67y1KbobnTlIZN9KqqTEpWxxKriLDLn++chc2RuatFLS9WvLgu7cIOdWIzge5C5lOcBaFPwttJryXtuNhU70D75vNJY3eDMCq3oGikPkKlIhEBzR29b1xFRlyWfik+JjnIMHilLNqJ4K+iDoOj6MQqmy1hAjHlF5mkhT16ORjnfnR9LBfGdcygjilydl4OSsG0cu/qRcZk+eUJWF5gUU0/aXt+N6DcxgIMGG8vA3nTs02SJq8ryQlg8ZzB8FhwVkUDAxDK99ri//IuIRARjbCwdfnpLDgeykcddQv//CPghelpOjJg1NmFjH1G+AHqdhjCfGHIan0pVS1uPAEwgMKRx3xCVXtxGukX8afgTY++mBKsMkM/2z8eEAyVLhBMy7lJLsoMoLvqKgX1155m636frodoWpDT8hY9L2VRRQJQsS3GpcgRwpNoSBj8x5YRMPETB7PSUtMuAxLpdmXk//IMBqbol4ttdIG7eAs5C+eu0l4a7TBN3bcxehGB91wveigvoce0snfp1x6EOWBDOxjyGVwFn6EeJe7KeM9nZLBwP15VdSDRqq8zRaTNalO3IASr+w5Ycl9vWI3GjWez/6MLZ9RdEA32KdRWBeO4f1W7EGjxk1lySEXSVsw78gGn9koJYfgezPP5EV6Gp5ws4kCKXx//O9LDumMK02me/woIBvC0CTOj8ePAvC16POSEI9Ehy1NVWQIE336ngpHXZRzIIXr7n/++R/kHlnTjAGCcQOo8+odblPcuBb37WVrMjI49Kfx/KSyoLRdPx805Y5HdNCFJhgXczCsX80IfIGDg7IPxiAZnsL9gSnpgfvzyH067m5rCUMp6nEzbLg15rXvdSBFDc446tCPdyuvjYySsg/GlHEjLT+DhMjiI7hP7/3hflU4hsYifkwrNrSygffRT7/wCVWTTSo3f3WbcwJT8Kdx/vmztsA3zFspbNmStooeWqJgPctjqQF5Tg42IP5bY8qftqVYJIautB0PnaqdWLd7LVumCZKFMexSJeo25ZR5M608JzQV5kZale3TJjr9UON0j8W7cTmr9v1wn2AaC0fdNGHjCpCqxqWcWv1Jr6xfV6xAgjbNhSQSmactVfn1EZiHD9riR/DlbEm5rmnGitd3b1GVt0EHzqnv8pVpVdSj9eh77aduyJShcCJFcyHNqCvrF5VxGQW6996iYAf9Wbx3cuPrNgHllziICdSqmnkV73aE1GJczqpYv0scifW5EqPyvZiqm+ddWkxkGA9Y+klWPewDKUwTUhjexQnq3h/ul0Tq6KAjkiFOWQvmgVSmR0RkKOfhT4gOoFA1LoOUVrcZDymllDJvw9xNnS71yMaVrDry41ZlXMyJtM08D9lK8VF8b547MJ7SpFswj+9t+ucbhTz2JGUmkMKk0TwLvOrjRwGhTzFAreSwLfIVNtEN6zGpI4rTl9d5LG9PiySAKFMWWSWHQGRhoVpyWGu09eaAJujoAArgVQ/75FxtWA9E89rvdIvGunDMEd0/U8GflHyV7cfWo+QQtjFrv9MNs27ezV0hOelnf/iyhL3F+lHoFCzYgmkmhYiY1fA4PFmFoyhMyvbbsqkzz+A7efwoIIVo4qBuVC5n1aM//4Pglc3bKSC7F+2nUL6REfz86/9RrbwWztFEp5tSHh7HNUHUdOUuSwYYnhPWU1NYHpxs12/IuanV9+dF3x3vxvd0/GfNkD69M4lpfVbnv2hJZeUuNAz8/zQD124BrSk0iQ1n/cacIGq54Soc1bkKvfh98S6cM4Vj2NImOm0xUyc6bNG9r6xdEB9DeByfkeck7nPMhSh4bU7Vb8iJJyY4i6acG5vAIjwKNE+bZ6BLJ8JVKSWBrySiEcZAqEb8mCNbacoxuRmq2QYfxLLVafH+hccBEfG/Og8s+rR7vsT6tMdAn4ePHwVkAEWqEamD4QlHPFtVLZb4CIzLWTGTl+3HfaRgXqeC61BcgZB04/ygTDc64NLYCAVgQGrDeoRkGtcAGajdik2hcSOtlAJRjUCJ0BT+HPMmIsPuhpVNhz+N77FsPzZikWG8n+Cce2/nVik0qUNOdfNWfMQ19xO0wT9begC+OM8J66n7UKxffzaTOA8aPx4QSRn9gmyiffcWQYA75tLy6K9hknr8nUlVsdtSg/+6TdU0Ywv4+FFAtnlsDLhR5UGqX9l+PAO89xZl01WwYMv2ggnt/Exaf9CuVqxICZbYvJWSayOQwnOY9+/qHZb6/u9NCbQ0rmQlDyo8jmd12X4XPmPcSAs6vmYbmhRf1m2ii3rRyPjTLqiA/kVu+4qP6rBDZn0s2AKOoSS4+CjeH32G5s00fH6f9KrQtLOUhP6Mj6UG5Dk52IAkWkAb4YVK1jczNMJvzmANfjONVNAUbqz+NAoM4gMZEOXL4QKP9etiVkukJn/+VVnD1m3OCU2G+RahSddAF5pCoVWzLQ/phtYR06tgXMsgkG3CUdM/3wiWeAoPI89JS34viykaCclGL+oBEjewaEsaLwvKyDAKAPOMmwxLLTgDn4wLMC2ap9GUGBdzsvKODmpql77pVezWRfw5SEjM29Dok8kfSOnCUk/QzDPYcnBjEpzDd2L/epUUIUSNPn4UUBV7LHk4MQWa62eaqjn5ig5qxv8HY5CL9bs5LcRtMo+CybzV2/MI89LSlKYGyGUqdqN4ij6YUkopQAquZsRwyGKVci3jShZUrqOQannuJCVIkY1EeBxFRnmbNi4esiWsj6ZTFqTFR/FAiQ7iPZS32fIAoinVPIcJY8O6rCrbpx82b8zCl/BgSorNwKItuSTmeXgwWMB5TlpCfQlNoZAt26c1wjP4rv1pWyQ/njtJ2WZFBx0xOwdn3Wk1w8jCb86oij2QmiU63QI31g/Jky9rSxEVO65NzcccKUordgNRnDhoq83fPSxyLgZKLvxiPSZ52pPR+oN2tfY73UJ8Kj5iq8mffxUeDf2aGCzXsB6o5pbvdyhfzpbigFsfyj84bSYe1biclW1bIGmrz//4gip+dwJDiasZYKl3WzL9X7EiJR6mhvXZv7tPsdkJTaFYivW5eRueU/gsq3dYoiUnqpuZEcblrHgDAoto4jlI4BTYuJiTKXflLhRWvjwGFIEkvmf6jTx3YaQ1LuaEUOW7t4jpbKebLB6cc2SzlejAeVSxx1LmzbQyrmZEmsom3LydQtNStyBNtKBGD+I1eF9Jit+BniellBirGWxX2m4LGpnbXeMKhhvhCTc80HMC910iUhkoywFTwbyb1VC/IYc8qAyGTeVt2LoxoM+fxmSZCdOFY/j8iZUmDaxityXbLM8JHR53LSP+EGbUxPpwToamcA2RbFQ4itdUvwE+OK9tid+kYg/OYfoAOAQrHMO1V7slL7k6rT9oV6UHbPFjhMdx32LTHJzRDUo3noMM1mQau3EtI+dZ1U5LraxbUFU7AUUg7jmQstWa4LCKDOPzMK5l5NlUtymnog+mlHEtI8MqZhOZZ7Q/TvsCmVMU73axzEyAD85guCKb5RF3ExdIusU0k76Lj7pUKm5+KnZbKvL2tFxzjx8FpMmiSTv6YEo2ukW9kJxFH0yJXzD4+pw8x8ITjqDnKcPmBpH3WHpMKEcteG1OaHBsbuo2QdJVvxGbs8qvjyDUVm+fGQRMsEa82xG5X6JTy6GnNcxBb7jMM9jghSa17yoLWZznTlLyYQKLaMDqNmPLWNlqCVWvZvXcUgPyDI+lBuQ5OdiAlG5fFKIKDaNMK48+mJLwQd5IgnOOrJljfSgKKnfhBsaHR6IDhfaTqcrBObDxPacwUSk+orXZvY4U0jSScYLIIqmpYdHVtGqKhnkrpWq2QepVfBRNRWga6//yvSiAyttsCUXkdC06gCKCE15q4YmWpDzpyWksJVk0stdtykkKcO3WvGiWSbRimJ55FpIW6vXp0/DeW5TEV3orlq9My6Q1MqQlOhty8J6cBgGl9AAK0pLDtqyujUs55X0lKdkX5W2YTjGozbgMfXv9RhgWQ1N4mPE1hifwQGdxQelE9XbID8ITeD/1G+BnWL4yLZ93xR4Un0opocQwLyU6AF+G796iavx4QHDD0QF8jl4H2zWa1NlA8VyId+liQ+upfTlbJtJ8wPFhV9TjStTiXXql34cJotfRidya9kKGPQsez0m8x+iDKfEAeO4m5eeSAFW/ISemZdJeChZcYy611fUbIaWp2mmp+DuTUgDxc6LJP97tCMmlvE37Ji7mZLIanEURWDjmXps0oCY6Ufz50yie4u9MqqbGpPgO4u9MqoIFW4zM1DlT69zwzUHV8M1BVbXTEorcf/3lS+r+70oRMDYLf0900JEwt/qNOWWew7S8qTEpkpHogCM43MiInk5qI6dxCWZdzwlLNX48oMybaZEfhSfcPByvBb3+k+AHHqFp7c2hCXvANflX7tINZ7/2kWmMKQvF8ASGC1U7LSH6ceIeemNWvfF5iUAsCl6bU8bVjEh7zNOWgBe4RWNYoYAldIhi+M0ZKbaNCzlJdX4y6C86oLcn70wK8KLhpawyz+dV41rgRz0ncG+obNVZLhrzXXpAh7npELnyNlvuHUopVbbPDS1NdOCcYsNYsy3/VHFbcgjSV4I3zNOQVlHexYGJ+M7O5lXswRSm8cexGSnbhwa35L1xaWCYqUL0M3OIChZwrhKLW9UC2aY/i2vHvJUSv4DXtkQSFut3BP5BTwmxsczMIcmOONXaLXm1YkVKxY+5klGa2JVSkrxtnsfG0biYQ3iiJmaRNuh9JanK2/SWc8hRoTdmVbwbW6Cv/vMR5bmbVN57i7h29LY9OKszgg7ZQpcjJe3xo4Bq/qxTCv/KVp1c36Xvl/0YynHgwHMtNIXfTaIhX49xIacib0+rwCIaOtLtCF8gwtm4nBWYR2QI53X9hpw8a3mPjR/DFoNHIKkJX3nINBnASrkd7/PV2/Oq+bNOydgpWMB9oHAUTYbnblKkuubZvPKcxLAlPO4IZrzpYT+uU009878KcIZxFVK0oh4tUbwI6WbzZ53iqykc08/yB1OyuShvg0S1cS22/MVHbAmPNK5mhBBJfxG9T+LT0VK3sg/GkF2UwvXN6zd8bEmC9SyPpQbkOTnYgEQOpdT/+aspsiPzDHTU8S6dsTAPaUeiAw+Mx48CMCPvtCQ3orJV4xotFyHJSZvXtoR3zxsU6UY1zSBU1TTjgRBIAsdXuQsPopW1C2rFihSwuyO4KXPFSnxuwYKr5w0s2oILrdiN6V5lq6U++SIgPoJ4F6YflbtQfHEqmeh0Q9KoZebhuZsEXnDEpcrw99Q0Y8pO7bxxPSN6/EASD5TSdpKoqxEAACAASURBVFsKJyJRl68C9YcT1aaH/erQj3fLtJMrYtJj/Bk8hGq3oGHyWq5WunyvLU2SeTulapqhkTdvp6QB4fSJAZFsfKhHDtyfF+lBw3royTnVOv6zZgmrrN+YE5a7cRXTfaXUU9kdFXvwoKvbBPTpqqo5IQFV74Cu2JfD58VwMvpZKMWr3YJzonaLmxVAmpRxMacK35qBdOhcXoprFgPmeazvzfN5mT6yWKfJnxuilfVoBqMDuljRjRClZ1U79ZT4tTnV/Fmn5HaQOMNpNLdPNOkXvzuB96SzcUKTOJ+qPxpWNdsQ/BWadoQiUzjmCM2F5+3ybx2XjBbj5awgQsv34qG6/tNjABt0uGb8wlH4eJg/wHMmMuyINC7R4eZaLP/WcRWcRQG5unJOxfocaTZpwC89gKK9cS28TzXb8tKo7v3hfin6gzM6CNGyBVBQfNSdetMX1PDNQaGK+dN6k5R2zcJPHsbVjMr/6iuSkUEARrwbxYo/i/fS8FJWDNAl743j/c7g/Pivv3xJtf+oDVNpXXgH7s8rzwlLjNPBWdfTEpp0BL5ByRKHCImDuEdV7MZ9jYbzyl3YttRthiesYo8lOvj6Dcga4CYucdCl9pTtsyUJnYbrZWvQ1Da+mJHcDl/Odglfr8K0nOhAYU3PjXkaMrbwBD7rqp2W+KTC47ieI8OOFMH1G3JiLjZvQoLFfKCqFniUuAFnzhCN4MVHca/j58V09BVNyBpqWJ+VcDn6WpiQThQwZUCkYi1bnRZaX2k70LLLV6ZlMs6teHTAkYTs0gMaOqBlXivr4LfgtpS5OUopQZtHB/A6KWlj4KEvi99NL1SsD/8sOuio8Jsz8NpcyinPHfih/FmcuyXvjeN9n8uLwTtw3z03w+N626OvceYEle91t57RQUfOWRbXvB9RVvXzP3wJ16pukDh0KerB1j7e5QiG2uvgsy09YMtQyDwLM3/dphzupRrIkOjAs0CuuYs5eL80pjby9rQqHHVplqQ80udo3kyr9Z8eU4H785Dh3kirij2WXFftP2oTuebpf1+hfHlbrWhKudJEDYPxnLRki8dGwbiRVsd/1qzG/m0zZJcaiOHL4V6/bE1GGdcy+Ew1HYy5ZYTpkG5Ztwko/YJ5/XnpsFavbYlUumyfLTQ5DqEePwrgu0vZqnjPkgn9WR5LDchzcrABKWpPSrIsH2A0qxrXMBESUtXFnFr/6THcYFMolIp6HQmnCs45YnQmJYPyo/C4Ds/TPhLPKUsCzMrb8Ff9Ruj0PSct1fL9DhUeB7+76yctUqQwJ4QIV66Vjeu4CVG7yaKNRk7jRloC8CpbQXihKZRIyoo9muOu01t5FCzYMsmNPZjCQ0ev65mMHprCzay0HYZb8yxughV7YNysaXZzVSp3YeIYHYQR9vGjAKRK0yhWOK1k8Ucjrnkur2o+GlYN61F0Gpexgqa+mBPSQApemaqdloSZcRUd1pkB8WOuBj86iAmTL2sLOcs8j0KID2siKSt3WfC8aGkXN0Wek5YY0JnEu/CL9co8DZywyNIOuVkpzDOo3wjiCQO/OE1b/q3jKpDCxJ0a6dC0I8GIbHRoKPfcAdIz8vY0AACHXCmgeTMN6dtNGNvDb86oxEGtZdaSCxLXjKsZQQrHj+EcL2+DRCg4o3MdRhzxWyQ60GjWbMtLCBonavRnNLwEeVFRjyuTKNuPn8lcDnoPOBllboxxMQep31XkC5S22yhGNBqUKGxSuDjNDSTRIKwunRFssHkuLw0+9c0VezR1TIdtVW/PSxYD9eTcJJCQE+vHuc3Pb/UnvaKnJ9Dh3u/KZEsXHXBkEh4ZQdHLzApq2Yl0fvIgqYZ+hSfP8/oN2BhxS2SetuQ+ULMtrzZ/97BaXTEr8rJA0pZpLhO4a7eimSrbj62cL+d+RpFhRzZ9lHA0rMuKFKxmG8Ikg7Nan9/qhrQWzKMINM9ACsTUaW4exSN1Iy3euaJeR7bIla2WeLGYIO21Ldlw0LOnFNDOnhPIvChtx33U61gC+1ixIiXnrddCURjvwucVP6blPcccISAy2K1iN65pQgzYSPP1kP7my2IAQklQ7Lj754wLuLa5ja7c5UJCCCahR2D1J71CUqtsddPg//dfDDHds8AuOYR7CKWj9IV47mA7x/BK42pGAi65LfN/bUHygxrWac/F6/DieB1L/c8//4M0A5EhNBg8h4mJ9zqujJJBd/yd8W4MlIp60XjQs1WzLS85NJEh3I85yIodB92wcAzvkeGS1TtQyJtn0cAVLKCBufoftfJ5rnrYp8zzedXy/Q61umJWVe/Atcrw1oVfrAf6WkM6jOsZbFvTtpjNfTm3ASH9ck1sQuS4HNglOgELCU2hSTWuZEUpkejAvUqeL62Wi4PWm1huI8Lj+tzXz4yKPZaq+WhY4AZeBwPIJ2EM4XFHGhvKxEveG1c1zXlV8NqcKtvv+iQrd+F381zmdU2/aM02bG8IlSh8a0YFFvGs8Zx0ARN8reE3Z5R5O6X8Y0sbkGd5LDUgz8nBBmTpQlo6lo6lY+lYOpaOpWPp+P8/luqmZ3ssNSDPycELqXhPUnSyROF99Z+PiLyKk/pYnyNBQdRckn4TnMGfu/oftTCKDWFSxKkVTXLE8M394iVVsdtS3/gfIegsF23hgAfugwxVfFRPYg9iyl4w70ggFqfMXscSHKd5HjSbyIgjqdw0mpLbzuk/E8SNy6AUEeHJyVr9xpxMF5WCKc//tQXRPJOlX3LI5dETnyoegBZMpt74vESm89FBB7QlTfIwXs4KBYjysuigpi1pFK3npCUBWPz8lq8CYrD0/XFM8s7lBfdYsftpRn/k7WnBknJyX78hB0nakCtbYqK6L4cJW+GoS2Epb4Ohmdx7psqXHIaJWSmFqeaoTlPWxBjzLKbW9RuR4l2+F3hIklPK9tmSylu9PS9TwcgItM+cShe8NifG8JL3xmUiSw9B2T5tPDyI9bnX0Rp6jSeu3oEpvHEdxlHmNkRG9NTyfF75X52X6VviIF4nzbJFPdjEEbNZsIBNEfGP9A9EhrCREOlOxoURGFeyci75crZMUhmc6L23qFp/0C6kHcrTGj8eQAK6g61g1U7rKSIXSUkMB/NauD6MqxkxMVN+xWl+ogNT8JLDmKz67i3KZ0h0tXkW9CNOLrd+75BAHSixDM653hRisRkQSLPo40cBQauWvDcuEgnSbuJdOA/L9+L3/+1R2QoU57I1GUmFNs/gWl2+Kq3Ms1r2tssSz0DhWzNC2ik5bEseQ7wb1x3N6fUb4OWieZZp44VjuE8Q+1reppHjerLLbR+3JzRe89qNDuK/rWrBZqq03UWHU5YY79YbkOvQugdSWhqThfm9tB3T3LJ9kGz6crZa8+0e+PT0tct7lHEtI2CMQEpP+bO2JEJzY8GNM1POE522avjmILbUt1JyL2hYB5oU4Qo1zXl1/GfNKjqIf0dvQ+kB1wxN2RqzeYwbuEd57y0q40IOmTiafhYZ0WF9R7GZpkm5+KjrdWDuzrLV+DmhKZzHzE4qfX8cCeIawx0dgHQ0NAlZ5U9+/08iV2xYh2uPviBK2SLDevOlgRzE8FKWR0hJ4ZgrnzWuZSDLnHJzQRrW455GIh23M/60i7wlrnbVwz7IFDVtckVTCkQsjaM3bqQhV9NbEc8JS+V/9RVlXM3Idqz4iCbsXQIil5IqIpLL23DfJ/GJW1LPCVwj8WMwdJvnAP9Y8+0eVdPsQleYORTrg0Q0NIl7IvOqio8C5kGUfHhcb/vO5iWMMDyB75jwgNJ2vZm9nBX5ZNk+PCt4XdVtQqhuabst5K2Gl7KylQu/OaPCb86owrdmZINsngMhkLJn371F0Nr6XbwvFRahN2aFPlfx4ajkS/F75PkQmsbGuuSwrVaXzrjG/r228o8ubUCe5bHUgDwnBxuQwi4kH3stXKBFvbj4jAsgBFVvxwXuOYUHVk2za5KLDoBisyYyph4/CkiKNLMOGtahiCM9hoZgMZZdwOozOOOIryA66AhOMPTGLGRI748LFjEy4og5jBSSWL9eB19CaNTK+kUJduN6nghePoCI76P+nvp0/9cWJDCJR/UOFCGCtNW8fgaL8aFL3j8RuIlOPPyqWpD/EZzFKpgyI/O0JQhHr4N1MeVrzHyIjGhEqia2sHCM9Tli1I/1O2p16YwyrkIzXr7XFpkIjeIkJDHzgY1W8VH8WWYtlB7QBcQlBBTyBu45ie+/aqclciwWnEopaQSf9Ol4TlmCSowfc/GnZftsQXWapy3JO4mM6GL9RhqptBpZnOi0xZBdvhf/PXMr2IzUbkExGJxFk1ezDZ8Zk4/jxxzxkdz7XZkEaZa26xTjObw+8yxM/qvLZyQkkmFmxqWc+krJFLCxp6ABb3rYL+ZPegqor6aptmKPJUnDIgfQvqbiI7Y05/60rb740wuCuvRpFn35Xlut//SYqtuck0BJX1ZLwua01+EMrlPjWkYF7s8LYrS0HcUIpSHhcZ2lcRuJ3YH780ItY0I68aKl7bZ898ZFyCfMM2jmA0nILbwWCmZfHoWbL4frgQnlfHjz2o0MoSAuOYzXSvmm/2sL6pd/+Me/u08F5xwJmPTpxHV/2hbYAs8dSjuKenUg3f15FUjaalXNvCBRgzOaLnUjrXz3FpGtoZHLhaModouP4J4X79ZDjesZSDa1GT/RqWlsYzrtuQ3f2//5q+lS6ebw8zwnIW2jpys4i8841o/Gg741IqnLPhgTCaTxMoLtEh0oII3ryGEiQaxgAbInpZTy5XSY37jbIJXtc2WnvM+ZZ/Mih6lqsUQmSgkKQ1T5efL9eB3Ipsr22WplLdKz6Q+Kd+MapdE4MqyJipM6vM7C90x6GeVnhHRUteD9FPU4qvunOyGjPQr8aVGPG0ZYOIbPrOajYXgb9GfGBrD43QkVnHFUx7/sUa0/aIe/7oQlGSFKKcFK06dEvG94HD4HerrC4/h8io+4eVSl748jF0O/F/MMBivMl1ldPqOaHvarjn/ZIxJKNjQ123A/rduMZ2pRL35faBINb+TtaRXv1kZs7VmL9eNn1Hw0DGnpFZjB6Z30nLKEENi4FsNCXx4+xuCcIzlQhKSQoMghlnEFEtrgHLKCKne5kuO5X7ykarfCV8XA14rdlqB06YkimIZDJ5LQ6Lkg9ZLo9/CbM8rr4FlasID/jn5DDlY4YDSuZFV5G4YI8W7ID0NTjsj8QpOO/P/SA7ZIP8v32jIcJHmO4JzIEO63XgtoddKymKPEEMjYcQfJ63pAQm9k+V5bxfcueUCe5bHUgDwnBxuQmre75QFtXM0IF95rW8p4GabKIz9ulSKdYUEkoTA0z6/NwZ47SQkUNM8gqbzkMCZtnPKu/qRXWOHBOZ1zoekV0QHcjHZ8dlB57iSfKpgKFvDAoWns8aOAKn53QhJlmQtCc2BkyJECm8Zb+i8SB/H6K/ZY4nEhrrdg3tXsK6WUP2NLWCD10wXzjvrzn16QopbGNlK7nkyUNs/khRZDs2l4HOQTmsTZSDAUieQr42pGsJ+VrZYkxdJ4XTDvSKp3/J1JvL8PxpQ/C8Qxm4vgrJ7y6IaGRnRuCYqPYNqUOIj/ruGbgygah9xmKjjjelNix1Gg0awfSGKSRh1u49qsbFXMc/C/GJdBIzMuZ9XylWmkuusNUvleNMCkCpFM5TllqfCbM1KYNT3sl6K3cMyRNHPzdkomk7F+/DzPCUumc8TD8iEXmnLzGQIpWx3/WbOboKyRvwWvzUl6duEofg7PJ563Je+Nq6bGpGp8EWjowKItieVNDYvYqGiPiFJKhSbxwA/O4dx8/CggnpeaZmyMjAvYtGR+tUZS0ROdOH+rdwAGEO92ROdsXMdn4XVQLLAx9OXxPot68J5Jsgkk8dmc/PVK2Xat/U439NYvI4Ct8eMBmITfnlYN6zENpH4/OqizZDTas2yfLX4ANnMEEnCqG5p0pBjn9UdQRclhFA1lH4z93X3KuIGEdZrBec6Gx1GQ0ssVmnRD5zh88OVR1LMQCk9geEHKGq/n0gM6b+BGWtLBV6xIKa+tM0d0QU2kr3EtozynLCHclRxys1cCKVsm/AzNKxx1JJSVJLDYcYStJTpQPPHnhN+ckSFBw0tZ2Y6wWeDmiChkpZQ06bVbAU1gnhGT2YkQNs/kVeOLGaFrkaJUOIrfl+hwg2jrNuUQFjrs3pOYyRN+c0b58rpp1k1SZSsaEIbYFSygsS+Yx3kenHPkmcGQzOgg7vXMGSH4InHQxaDStL9sTUb5NQaeRnLjcla1/qBd7m+JTltS341LOQn4IwVr8F+3qa8kpiVlO3B/XpW+P+56i45j6MWAv/oNOYFtlBxCo7iybkEZl3ICZqjdCrIV0eEcvDQ1JhF2q99P5S5LyHcMGA0sohj25XXeyAdjMghjKGrql2tVzUfDguVOdOD+JM2Rfp1FPbh2PSdwbtdvzKm3Po8Dj34BW7eun7So8jYYwANJDGCEcjnxRPCu9voVvjWDz3YO50BoEt/X6kr4LVq+3yFG+B/93lDB2ScCJPW2uG6z9ppcwbPFvJmWAEduofhcKxzV/rLj+HetP2iXwUzg/rwqbcczxriYwzNQh2vS/M7tDHHFn37hU3Wbcyr4+pw0LMzJKXhtDkOYXj0c0Z4f43IW14g2rQcWdcI7vTJTSw3IszyWGpDn5GADYi4mUQBp3rx5M62Csy5GMHYck8e5X7wka9iiXi1D0FMqTvdXrEip8r22ECpqPhqW5oCrY5JojBtpGJJfA5nFPIdpNpn+JYefmKSftNQv//CP6q3P47KNMC7k3LyB+/MyISrbr6fVOpOiqMe9efIBWrkLkiciYLlZKD2AaVT1dpj3eHDjU78RK2JfHgVXyWFbkplJsmEwHeUevjxeY+PHA5gadrnyldJ2PbFeRPFAGVnioDtJpvzAl9fbpX7HbfBOQ1L1+FEAlBKN9/Q6CIIkJSawaEuIFU3EnKRTdsXCvfiILSbv4IyjNn/3sCptx4P98aOASnTYgl1lGjk/I05nQ9Mui57BXkxcJy441u+IidqX06FPt1Iu136vG1gXWLRFOkMUK03EfGh5TmDazDyD4iO2ZAREht1md+Rftwg6N5C0BWLgy9tSwAcWtYzmtTmZotVuhWyIyedrvt2Drc2wfqj1wRhKegxNqSvrFqQZUQqhlrHjGqU55EgiNieCDBCMH8MU0JfHuU7ykS9nyzkenEFRHxkBXtdzwlLLV6blvy/qdVTmV2vQMPa5jXVViyUhfkU9jkyFGXjHh3jpAVsGBeFxTLMJWijbj88skMLfe21LJu9MoC4cQ6Hsz+K8Ny5nAWi4mRb8afV2UOL4Pf7tEZrUZmBNTQokXeJbUa+bGt6wHhlENdtcA7lP474ZqFa235XuMayvqNdRTQ2Lgleu3wh5Yv1GbFPjXfg5snmbdcSsHx3Q3/PLQL5y88uwvpJDLukt/CYkLcyQKZjX2UJXM0LeW1m7gJBLbX736RwGwim8lp6qdyKh3bgAAh3vqUU9KGKLetwAUkrMio/qQDgNVqjZlpdUbJp12ZiWtmNDyyEH71O8R3pOwMTL0Niy/SgQu3+6UzWsy8oWlkQ7yvCY4M7sI2KNg7P43dXb8wIYCL4+pyo+HH3q/le2D59H9MGUhLGy6SXF0XM3KRQo5ptwS0sTdGDRllR481xe0rNZEAfuz0MW+7UFtf7/Ze/NgqM6z7XRXP8XubbPn6we1d1qtVpqzTOSAGNGM4NACEkIDYCQhEY0Tz2vtcw8YzAGY/CA8WwntnecGMeZdrazM9hJ/syhdtWpvbPrVJ06lSrqOxfP97xLJBf/f+cqF6sqFRsLdffq9X3f+77P9NEhnHWnQPEJzGGPJLWPTWHNhoyKdSLQsXynKY6QdavTEkzqTVviwkQEmc1tcBJrJXrQFvc+5k/40tgX5n62TjU0JsQ+ly5PxlkUyiUt2ONpKlDchiDT0ATWTnmTKU0LbXq5thrr47LmjPMQ4zMLyp+wxLAgOIl9jXszXfyKWx3rZTo/hibwHvMP4zP5b8+rlR/2AaWZwX6c8+KciOBpqV/69hj2+SEg9/mHtWuZdtBjtlHeIIYGZbtNMWnhfTcupJVxFYgmBwdEz0Ljtqp//wjssueXmC+8NimDsqZPOsBySMMiP9aJ89e1+KgB+TKvRw3IV+RiA+KZi8sUnJZ1rjNZTNOatC3rOu3qokPUGJLFVN7ArC2p2e7rcVX37UFMPa4mleu5BPzuryXE899jmRJoxLAi42oS9IHj+D3GORTiuWO2uI1Ee7FhMcGcByVD4Cp2mFL8+9KYnBlXUjKJN85lVO5RDRtrhMC4mhR7RE7vyt4ZfSiTwDibkWKN+R+uk5oGZuOexPajQKcjR+26tMOVn3V0KMFJ7SRiYrOV6aietDIFPDKgPeDbMfWNdejDexHUgYbGhGQvBGadhoYHacV2HJiV746outWYpHrTllCMAjMO7YDTWW8G93nLx11Ct/BmcMjXPZmCN7v2xydtqKExoZQCV5+TUONKSrzpOZGj7qVie1atLJqRlHJvWk8z9bRUMgW0M1lDYwLTfdOSKSUbNuaICD3v1Wlw4I84tIiC1yckpJKTV28GjXbunRllXMGzRIoOHdXErpXo1BE822//NhfFaJslWo7iVnzOuidTEohYsR2TRd8LC5IKrJRSKz7oVznztur50W5VuyYthVPolRlQQUbxrDTWLiJBucuSMLKyd0aV64QpBXZgVtPcMjpT4RTQSyILD+77kd+hMxOoFQiN2yrx76tV4t9XK8/zcXXz18XKuJgWtKbpkw5QSF6dFu1N3t0pUMxen0Ao2yDuMfMyqjehaHE/bcpUO3rICbUkEsoG2vfCgqRa5x9GA7F0CsuLDSTDJst3ojBiQ0Gb6uzPn0BBNYc9xWNaav1HBxHA149GpX5FUjXWx4Wnz/BH3wsLEhxZsQPPb9MnHRi03IjDArjfGco01sdB/ezHd+BLQTPkOq3tP7U9KZ//pdQ+am2qtmQFFfIvopGLdVgyLDGuYOJN9IAT4rrVadgqj2KPU0oJWkGb87wh0HT8i9Dl0cFraUFZuscUZ6VorzMYYCgttUSFXZa4JzU0JoS6yGbiwX0/kMHXJ1TRm+OwU30aCfMcMITGbaHZ+VKWOGWFRzD0Co07+Uiu5xJSfBNhzXlxThr6WAeGMsWtQFojd6fkHoZHEeQYHsH/V27LirW3Ukp0PmJJfXdKuW/EVe23hlTOgqUq3h1R3jRcDNnMVW3Jim6LzX9sP9DI4LT9UDNQ9s6onEfeNApqbxoDBNrEcr8lis/mPTyC9VrY5WgcqdspOGBJOKh/EQ149caMQ6e6mBZqI4P+atYDpRGHyFEnfG/399slcDY4iT2EgbJKKXEglEDWrCUUJjo78iwnCk9Ei/sSv3P3MVNet2oLBnXBSYdGSS3Rx7/zQCP4JJwX2Uj8+U+PIavmaYSu+m/PS4AqXTc9Js610CszWFub0VTSNc6btsS+Pr/PyeSp3pQRCmFw2jl7iYrTtZMIb82GjHIvPGpAvszrUQPyFbkEAUksKvf1uCQuc9P2LzoQJ/MQoq9NKs/NRVXYjYmX60xWPfXdHogb3xiHIHceG1pkAH+P9BFSRsLDsBt0H0MTwuKOfHhOzbwZx1Y0OI0iJdaB6SrTmDmB8VimWKIGp4ByFBzAAenNWPI+GGJ389fF2JDo265Fvw0NCeW/PS+2v7zCI5iY+OMogPyLltpxbz941CezoBVdSUmid6xTh7CdRUig62QWnNuUJdZ+pKyJLa32+4/0Y/rX8mmb+JmTBx2YwSbOYLOKHZjSVW7NqsI3xlXOi3OqsAuHDmlGgVk0kJF+pxjM73NE0gd/3IQk6EMoMsPDNqwIbyDckPSYggPOIeR+GhqIwi5LGjVqKDzPYwJJS8PRn25GuJ7+zOFhRwztvh5XrhMmRPW6AKPPP+lzDMakWJCp1r6kJQGS9cuTYlfJjIrgpKZf6GwX8phr16ahy9lpqhWV86r4raPgYB+yZcr7ROGUUN04QQ68NAe7TN0YBieRj8Iiik2gTM/18x2cxGfx3AQCQmEzLZm7ftQMzvP5jPrvv3wD6FzakqY1PGpLweO5uShZGOFXp6Hx0GjAg/t+VbU5K3kmrhOm+vOfHkMReMIUYTqDEJlN474RB7dcFzLGeeS8RHudIr9onyWBeP/6h28oXwoHOlOnfS8sCJc+/zBEwCxiqXVigrvH0mLbyykR6C+vWVShV2aUceGfk9A5FS9vcqbP1HJ5OWTQ1FH/7XlV0mKJTWdgBs8Z7XaJWLmPm2IlTkpMxQ58JwUHQP9hgvdSpK9qM3RF7mOmmB+EJvBskR9f3gSrblINmaUTmLFlaltwAN8ngzT9CWSwFL91VHnTDlJJDQ0pIKT9VOwA+swGpHYNkLLCbp14rYvs+vePqLy7U6pmfUYoaBXbs5J34UthgEIxbqxTJ4PrzCTPzUW1bFUKw49LaVW7Lg2tn74HFOoHp1HMV2/KyPAoPIrn1H97XoVemQGV71tDMizypi1VvyIJG9xpx469+K2jYoNNq2LS9gKzeA58ujHL78MaKW9ykqr9i2jYqt8bVrFONA3LViaVUgrPoJ7m596BfS7PJmYl1b9/RFm/WAEDA50nkzeEz8KzKfDSnGjiiNZ6bFNNf7ZBEEDXqaxY1xsXkP9CrYTHMuVcqvv2oIjjPTcX0bDOYGDBwFzjCihBvrSltnzcpXLmwTbImUdz0NAAm/S8u1PQEB7UzYWe4JftNgVpIw2ZFKbgFPYh1wlHAxJ4CQ0frXT9i3i2qjdlhEJIO21mZlEPGZi1RV8VnNYp8TWLyh/H9xKYtYUySgMSFvwMyvWYMGAJTTi24oE5W/Sfpc2mUKaC0/iz6veGxWY98NKc+uKPjyn3caBDuUf1AEfr8VynkTnC3/dEbFrYxa+LfAAAIABJREFUAg/u+5VxKS2hua5TWdX+g70qb0jn1Dyy4f1Sr0cNyFfkYgPinourZatSKncMBRUFfxQkUpxctTkrAXK13xpCsTaDDdC4kAbCcDklC9s4DypD9CCoJIS5OWUTJ5AZFARluzCFCY/g75DvWrktq6KvTYLS9O4IKFcJS0SCtWvSkvpd2I3Nv2Z9RgLu6PfO0L3SZlOQg0i/LSL0nAVLkuALu1Dw8zLO4nP7bs1DGDzuiNFD49hkt3zcpYxLaZkOkc7mvhFH4dynhXGaJsND/+CPm5Q3jc091gH3j7xBbHaNdZi0MvyQ9LaC1yeU79a8ONwQEXAfM8Vj3r9oiQvKtnudkk1R0qIPwqeB3JTtQgPgSwOxote6L+3QR7xZnbB8yKGi5R/G1J5amcgRTOhK9uLeley1ZBod6XfclHy35p2cmfNI5S1ug/6E4lJOvN1PmxJ8RspZcMoWx7S6J1Pgaw/j+WQwpXExLTqb4LQjrq7ZkJHD0mObEirosUzRMhT0WFIQLdVTVG3JCo3E9WxSaGTR1ybhTa/F5K4TKGRL95gi1mZStVJAilYWzajgFGh5gVlbpqTetCXZNNQ9+OOYvnE6yqAvakNY8FCjYlxKq6I3x4VuyFTwggNOY0zNEqeYpXvwc0zB5j01zmfEQKF6U0ZQy4ID+JyBWW2C0I/hQuXWrCp9ewyUijSaYO/NRXXl8wqVM6+pPBfTkpNQsx4Fa3gYjavrTPaf9qm61XBd8liYQNYvT0qIIte963RWVW0GhbP4raOCuCxNBa9+b1jE8VWbs1Jg0HWn4IAl2Rs0NGCjEeuwJA+JVDGG97Hh96XxvLOIL9ttSoBfYE5nXcTxnC9NDfdYupDVWQeFXZZQxarfGxbDicgA9gTjHJpbjw3Km1IwgKChhT+hRexXUrL/RvqBXnhM3P+qzVlx+anYYQotr6QFa9v9NBCu0mZTVW/MiEFEpB9Nat4Q7gGLSaIPB3/cpMp3moK8sYB1H8OAqHoj1ntRuyVIkT9uiZ6M9Jf/+PPjKNhfWFC+JIpCIo4scnPHbLXj3n5VtTkrKFruGF6v4IBzdqz8sE/CUo1LaRF5M9yPwwr/IvaE/MP4bN40moWidkv2pMgAGvb8PjTz7qe13mY30HUiUNRBFBwAQkwkI3oIDQFRgdpvDSnfCwui1cobRBPhe2FBslTCI9i3gtP459I9pmjkvBk8TxT2F705LgW5L4n7VbM+I+uRuV68X9Fe/C/w0pyEWiqlRLMY6cd9IUJHA4jCbu0U1mMJtZop8nmDumlJYABQvQn0JjrdFfRgL/Un8H4Yzlmxw5Tz1JvBvxsX0sq4lEZjro1wOIgkOhGcwvDTf3teuU4ANSs4AESSOpriVkc35rGxjwTmgCb64xg4BKdtcd1iIxcax75T2IXPkrNgKffcIwTky7weNSBfkYsNSLAvoYzzGUnd5TS1qB2LvLEurrxZLEAKWMk3pb6BTkMlLThQg9P4HcurFyTtuaEBHE42A8bVJAK7FpygvbwhDb0/lxCBJ+0FWYi7TgIV8N2aV8tWJkVEuePefik8OD0s2ufYBLKxCsygOC5uw+fLWUBhUfgGXE44XV9qCVq5FTB8bD+m+qSLlTdBSxI9pHUGk85rMcSPbkjup7HBVmwHdJ+zADpA14+alceCNan7aVPcUDiFLOx2+NixTsc5yJeyxNKQFqxM1WUoW1E7prvUnZS0WDIRY2GZN6SdpjowDc4/jIaQYmtu+AxKLN2D91rcis2f98m4kBakgQ4iOQsonkKvzICethXc4IIeJyHYY5mSUs7mlRPfsl06jXkCFswMU3vquz3ieNX+g70qPGwL1Sg8rK0un48r1+ms+o8/Py7TzdI9przn4KQtRWN4GC5irhOmpKJ/8nuXMp5JiVMUYfjwKKaxJS0ojK58XqEqdpgiqG1ohA6KAVz5fTrw7SAaEOMixJjuY6bq/clOsbgmlYHONMWtOBhbPm2TALbQhEPpo1FE9BAKRc/zcVWzIaOq3xtWOQuYGtKxznUGBXrOvK1+8HtD3KH8CVhqs7jhoV+xHVzqon2YUkd7tX1vpyUuNrT8pMiafHjSUajFcJ3OSsNHRMFjm6qhISGFFe2PmVi99KINdXAKGonIEVsm8N6sJTq16CFdnI3rIMwtWZmcV22GfqexLq58KUsEsB7bVE8UTgk6UrsWSe/5fXg2GKZJHUxxmyVIX3AS+4hxKY2m+jqGBca5jBTV1RvRLJDWSkvz0ASe49I9WIO0nfXHNTWSGgaNwoTGnQTv3KMO/ZGUtWUrk+rvf/VCj6cDUiP92Id8SS1gvzMjHHtfEs8HG15aZntMuL9xf6lfkZRGjFRRXxL7FjVXgVlbPjsDVb0ZjWa0WkLZLNuFPy/sRmFsXE6J2NyrLYNLWoAKxDotGUZEDwHJ4R7iMS2xMzcuYfBVvQlUMIZ4ii1w2hL0TCmlrnxeASOFBaBM1KZQcxjpt4X+VHAAKD9/F+2Dc4/C3dF1wpSkbg4cynbDPIVDoZK9cMnLWcD+Q+1P7VqYcfB5K+jR56l2HTTOYcDjOpWVAUNgxpnG02jFcxPapYrtWVXw+oQ0OR4TZ0NROxra8KvTYmxBCmTxW0fhRqi1FjQ0UEpJY8WzwHXChA328wiErV+OPYE2vsYluEpywBV+dRprKGWpC7+qkSaGjATueVWbs4IMGpdTQC/mHHOUsl2gNgcnbXGnEqdKbV/OhPKcBdyT8KgeZjybFLfEB/f9om9kcGVpM87aindHVOTulCCsOfOoJYhoG+cwqKjchqDmks2LjxqQL/F61IB8RS42IP7hhEDzpC3FOi2xo3xw348DWIvk6lckpQDjNO7aF+WYBGrKSmmzKQcSD0L/oiVF9oP7fjX3s3VSQH3xx8ek0AuN4+Cm4w/FrKQl8L02fdKhYp04DOmAsrJkBpOyNES/pJUF5nAYER2ggNQfRxEZnMShQk4oHUZ4FbWjoKjcCrqVP4FCyjiHn+ehWrUFGgeKdukYVdLiNFmlzabcT/+ipVZ80C8iS1IKaDVY2O1oE4rb0HyEJkABKtuti94m3EO67tCjn81e9aYMJtojmPi4j5kipOZEzGOZkvvgOmGqJwomVd4gvj/3MUyzilst8dsPTTgcXhaNxsU0noen8fNEUtzHtRj0kHP/ajZAy/Lgvl+yBog8eNNAeCIDKGb9t+cxydZ0I7r5kI5Fl5vGurhY+37xx8cgKB22hcKUM2+Lq05JiyX0l7whvMaOe/uRYq+n+q5T4NB7s5rOppPka9ekhQZnXEyjiJ5yOPeuE2juPLYpwm9fyhKf/Y4f7lGRflsSkd3X0TjE9lvqxC8bgDrsdBrWst2m5N2QR0071bonwTePDDhc8sqtsIPOvTMDp6ZFUNVCr8wILY9mBf44pszUbwSn8L6qtoBSSJvSnAU05O5jphzeRHdYoDXWxVXltqzKuzslhUb9iqRY4j5RCEcz0izdx/Bs+OO6+bwRl8TqpVfZblPomR4LKCt5/XXfHlTGpbQq6AGFiU0sC+C6J1OCsvGeu6/HVWE3qGRMQS5qx+fzalQjetAWu1FquQoOWKKfCQ/bQhfJWcBrsemOdeB3l+0yJam7sMsSpyWPbcqe8NR3e/AMLjFVCE7i56kBaWjEgMibhj6LyKtxMe3kgFxNqpwFrCeiSvyOXM8lBBnN7wO1x7+o9U1x6OA4cGIekKSva6vvvEFb0rpz78zgO76QlqK9bDcQk4Ie7L1Ecliw+2/PCyKZM6+zFqYcF71oL9Zx4KU52cuJaIRemZEU77LdoPDmzKNgrVuNtei+EVclLZYUvb4XFlDY6mbdeAbPlfz71aQMLcqbsNZcJ0zRrPA1wqM6O2oW67t6k3bFOp8R2iIt2WOdliC7rtOgThbtg7GG+zom7BzaiBOUHr5xoBAe1UObI45AP28QDnWrv9OrwsNIhW+si0tuF5vp3KO2IEuem4uw0L0RVw/u+6UBJfLlOgMbXw7zaCnMKzzqOIq5roHeVbYbqDgzqTjkoB6SAnhmOPkTeAY8lun8s43hY0GPJQ0Amx8ahXB90KHNdSorGrauHzWrFeVz6qnv9mDtaZdC93E0g64T2F9K95jKfSMObab+fvh9+BOOrXWkH/uIx7QkV6SoHc9P+U5nYFW1JSuUstjORwjIl3k9akC+IhcbkFhTXJxXitrRQNBb3bicUstWpUSgHj2Iw4QF9se/88C1SAfq5R61hbsZmEHBRktUBjPxMK3eiEKL+QzRg/j5xg8GxOqWolxvWgui05ZK/Pvqh6B4bxYNRv9PtktxFT2oeciav2uczzghQ5OYqHH6V9psiqd/YA6UmvAwNkNe3HS9GR0KlnZQE8/zcdElsEgmvScwi+ls6R5TGgxOT8lHjhzBgcimrWKHk59ArYZxIS15CdHXJiVckegOXcuC005TFe3VTlMvzSGkbAATNKIzD+77QVXY79goFxzQ3v4HceCW7TalKWJhF+3FAUehaHAS94luZ5G7U5IJEpxEg5Q36OgjWGiV7sEBGJixxWo0egjP0LJVKXHMavm0DdQDbZBQ3gTKCBteOpgFJ3EQkp5R0oIpf6zTEpclWp3yPVDPYlyBOJsiZxaNvrQltpilzWjmSAm7/esiR/Csvfhzx2zRu1RuheiZh2rNek0DuZhWt39dpNZ+dAg0jR4tatV5KHlDEKi7TqKRMJ6Bm5vrBLQW1EGFhxHEd/nzKqARC4719IoP+mHvHEeR63o2CYH/glPEcqqYO4bvOjSBBtX3AtZZeRN0Eu5jaFT9cUesvJSixDC1v//VC6tR2mQPOmhl5O6UPAuBOVsm0UQsXM8mlXEV7kH/eBmX0iKUJT0yOIkpZ2jCVkM/3Qpk8GJamsfwCO4/bVFz78xg79HOOGwk/HEU3dSJLM1seHDfjyyN8xqBO2FK8xqasIUqWrk1K/ffuAxaKm2ti9pBaQqNowmu2A6bWuYhMaixbLcpgWrBKQxgvBmH3kINHGmCFe+OiE5HKQUK2hbsnWW78RyRfhiawPd18MdNymObguLkHtWuW/stEZ6T1klEjrkjJXsxXAmNY71su9epKrZnVeU25CYsbeKWCrMZPujRTkmc5PO9/edf/qcKjdsSKEhEmgF+gTmHZlmyFzTA8KvTynU6K7RCflaPDqAjjYuUpuU1i6Jv8GYdoxHjQlr2Ff4uIox0/6pfkVTeLNAg0jBr18A5imgTJ+6xDqx7BlSW7gE6TlSA+RTG2Yy8BkXpoQk0SSs+6AdyqvfO2m8NgTqlxffi+hjXmrqkDlG8OyWuhdTJkF7GcExq74786zYJtzQupxz3xctO8//3v3pF2E/HyNo1adHp0d65bBdoewz388d1EKw2qVm2KiXOmcFJndexx8Q91DbmuXdmZOBHEweit94M6gQOgNzHTOW6lpABGt3mVnzQD0MY03HHojtbfp8t6KvrVFbMUojGRg/iO6lfnhTE+MF9vyrZq0M0dYgys3si+x41IF/m9agB+YpcbECKdixiw5vGAjOupMQZxZ9AwVtwwEnydZ0A9N7QkMBkdytSmvPuTmHquDotkwQ6PXlMJ/E6b9BW1i9WgGL06rQKzNlq5Yd9qqgdoUuFb4yL8Iz8aFp90tFp2cok/q4uNiMDtvh0M9QvZ0HDvhcg/v7od14UTFpU6ktpLq5O03bfiINysjwpgk5etWvT0kSQ68uwNhYihV2WFJA8PCkeZAHsT1gyNc4ds9XKsjlMf0bBe/XYeH++FxZUyV5Lpq6+FDZP41xGXfm8Qt3/8+OqZkNGtDYUBZY3YfpOigYhfOMyhKTkyRf0OMFz5MuGJnCwxTotcQuL7cfvaf/BXpk41WzIqI4f7lGxTkzsS5txuFdtzopYs+CAdh3RKMJSx6jcMRxEjR8MSOYLKWSu5xJSDIcmcEAVt2FKW9zqoAjG+QzC4g46Diy5d2YkwTk4iWKKCbd0RavaDKGyN2uJE5lxCVxh41xGLa9ZhM3qLmhjWMzVfXtQEsR9t+blgAzMopnNP2yLXqa4DQc0+dU587ZkGigFqlpw2la//OPjyriELI2ido1CXQNPn+J+781FQQFJKSrah++zpAX0huqNECfnvDgntrK0b/VmUSD5E/DPp8AyPGJL4nJ4GJ/P9VxCnLhKm7Uu4UJaRY4gIM6bsaRpzO+zJZSwsBsTRTb+FNDLBPMkktaNi/hdWz7uUsEpFJ25Y2icX/5NoRQQ/3gx94K/lwVDcBqFet6QLfxzZoLk96FhOfjjJuWPa81Sny3DjmUrk+rYL5bDVlS73wRewv2r2GFKvoX/9rw49YQmbMnFCA/j78X2O9ql3p/sFKpH/mFbRMquEyjkSINkhs6D+34UwcM6w0SjS8yaYMAk7ys1E7EO7FFcM1x7Re1onjnA8Gaw3678sA9N9sW0ynlxTp43miUw5yH48qwMYbivFrVbgrT5E45lef5hfAbuNYVdWJt1q9MS4Fi1GWh3zoJGlk7DyCS23xKb3tJmU7RER/9tk7jL1azPiEthpB+F+IP7fqGIetN6GKNRGuMsnAv5HmvXpVWsA+JsBrsqpTBU06hv+NVpCKs3ZtTcz9ap/MPYj4mAezOWOv3LZWIpXrEDU3ZqE0v26r38pTnRC1RszyLN+2xGMkVoQU4tVmBGa6EupEUvRtthX9pS7/+vgIi3/QlL/flPj6ma9TqAtN8J4qNlsrhYDeI8uv3rIqeBvJyS12XDU9yKvcK4mBZb6PCoLfu4UkoVvD4BauwLcBQr2wXdFG11QxN68KINR4KT+N2RAQyPGuuge3Qfw75VuS0raLDrNPbtFR/0K/eNuGr/wV5xP4wetCVEkagHG0zaUBNdJ5OivAn3IDDnmHbQZpvDQu9NmGLw75Q2m4LS0uHNv2gJ9ZB6J+ZMBaew1k7/cpkq3v6IgvVlXo8akK/IxQbkv77wKtcJLMiy3Sh2eLguFfsaZ7EBVG6D087KD/swsd8O+NW4klJ1TwIWN64mgRjcXJR0WFJ2CnqwUZHL6TqDIqh6E6wkmVLqOo2Ny30dGhTXGUzva781JJMnXxJUmsJuSyYjTAL23QJ1p3pjRoK58vtsmbLGOiwJ6Hpw3+/QHCacNGVedKdiXoR/Eb+XUyba6/IgYvp79KAt4VyRI5rH+1zioSaAh2rt2rRM5HPHtFPPuyOiF6FonK5LkSM4NHy35tXNXxeDL9up7Xd1SBoF88tWJmGpqYXVhV2YGLvOgDJTvxwTaAZcxTowOYp1WmJBypwAiuzdxzG1LW5zPPa9GRRBRe2ajjDpJEAHp4FK8RD1pTHxYtp0cSsOR28GE2zaHMc6QCeKdeB9u85gMmZchJNV4KU5NKs3F1XtGriXPLjvh3g+YwmfuWpLVlLYQzrrItKP755FN6khoQlbAsL8Cbxm9LVJdeXzCoiK9QTUdQraJG8Wz7Qv5XDqS1osyTYoe2dUNCD0pZ/+bIMq7LbUj3//TWVcTKvco7aIvH0pS0LAatZnlP/2vNBBXM8mpbBb8UG/UK7c1+MOPedsRqbsxlmEg7IZE3Hya5MqNIF1R/60P2GJ9qakRfOqb8EVrn5FEvkBWgRvXE5JOn1wGvfam7YkXZgoakmLJfQbf1yHOh519C60Hc29A4rYP17FbZZkp9ARjhkiwWm8/7JdDlUsvw8NV96Qdql6ZQYDlEn8O0WopGKSskk0NNYJCob7Oux6wyOO41hhF36W+Qyuk1l1+fMqtbIUrmikLnEQw+YpNI6C/sKvaoDk6Mmt+wbc5nLHHM3KspVJ9aTniPKlLEmMLt8JvQYRQA4Y3E9jLwuN2+q///INVbE9K86CxnnoqIxzoGbS0a6xPq6qN2YEXXEf1w5SOluEIW0eG8iwN4uGoHpjRpAY13MJUI2ehRkCg/by7k6p6CFbaGDBSSAQtPStXZeWkLj694+o6o34ucb6OBo9vV8w64RZTcVt+Oe8u1NwLdwO17/wMJ5FX9JSt39dJPq5wjcQLli0D2fJslWY7jO40nUyq2IduP/GMyk4omlUwf00Jv4+fRZ4bFPsbKlPKG61JJXc9WxSbbvXKZk5ZbtNsYYu2YvzkrkVRJrCozBmcV+PQz+kRf8V20HzypnHeRU9ZKunvtsjSd75h9E0erOW7CM8Xyj6XlkyI2GarpNZFX51Gp8nqdf3VW04cj4jNNDYfkvd/HWxrDmePwxkzb0zo4LTeL5XVM7L0KawC69jXAHy50vqsFPtwpUzj4aPFFGaXFRvBKpgXHFs3Y2LaXHPzBu01Wu/jch6p6OdT2uFiCpyLy7stiRY030ce0N5kynPangEDR7zxor24TMXtVvS0IUmbPX2b3OF1s2wXtIVvWkYWRjJRw3Il3k9akC+IpfkgMzGhZtLYXDZLtANaLuaN2gLhap+BdKClx6s5TthC1m+Ewd4cMoWKoLHxAFiXEqrHff2w35z2gmGK93juBG5b8SlcH0if1IVt+Fgq/v2oGpoSIhzCQVlOfN4fbqKBGYwiQzMOUWI60xW3GvyhrRIVE8kuSEy74BJtdFebEC8eGDkH7blEDYuwaEjvw8/SwqNcRnFtBSkkygCXSex8RlnM05y7WVA2ZXb4I/OrJGa9RlJyg6P2DKVC+kwuMIuFBm+NBAqahc4JSOlLtaBSeMTsWlV0gIKQ2QAxQ4TfKkXkVBAbaHIKWNBD8S5vjQK8frlSRUewXceOQKOtlJKhO8s5NjE5fc57mcMZ1y2CoYH2+51ii0xheIV27MCmS9blZIGjxPiyAAOdjl05/Asle0yhabjj1vK9VxCdB9E1v71D99QoXHQusi19ycsmc4xqK2gx1Kbvtetcub1s62bIdLQynciIdxj4zULXp+QA550MOMyEqdJfcgbQgNS1O7kCDBdfnnVgloVGhNrXop7l60Et58BWuVNeL2iN8fBXbZxvwMztojyXadR8BR265A2zdWv3AqUgpxsJkGX7YbWgRkyRe14/r0ZNAtlu0zJrskbtCXJWuxGdWha+U5T9DKuU2gsS/Ziv6janBV6UnAaRZ3rjFNsUVdStuufKVi0BS/bpR3zdFBe/fKkM6Uc0zSWi6Br+eOORajHNiW8LTCH5r18pykOYbVr0+L4wyBGCltLWvB5ivZZYvdNBx2aPeSOYS9YtjKpitrRNBjn8DPFbZZogdzHwE+nmxJpanlDWNuVW7Nq7mfrRPNV0oI/oxWtN+0U8cFJTHvrVsOBjlom12k0MaQUeSzYkJbvRDZLZMAW1MXzfFz991++oeqXw6nPd2sejdrLs9IEM+GbNE/qBZiJQVtkahVKmzEpzz9sSyPmei4h9t6+tKWufVGO/J2zGUESCl6fANX3sGMPXrHdMako3YP9ZNmqlOTmBGY1UpHFftj1o2ZlnIN2sHZNWp7j4BQGBUopDMrOo/ms3JoVUwmihiUtluPiqFFjnk3FrZY0wcaltDgxkVbM86v2W0OikaC9t+s56Cxzj9pib829ge5zhV1Yj/7b88p1EugRndro0Oa7Na88FlywjLMZGAZ0wpWvbLepvDcX1b/+4RvCGMg/rBGLcez5dGX75PculTuGxu/Pf3pMhii8ArP6LNY6rfw+nfT+2iRMZGznvdFEwnUCaFZoAoOOum8PClrhOgEdYO0aNF3lTWgSatchPNhjWmJsEZrQZiR6QOB5Pi50ztq1aaS4355XeXenVGN9XLK5GB4bfnVaFbdZ0qDk3pkR183IESfjpv79IzCzSTuBkDyjc+bR+NHQIdaB91a7Nq2iex9RsL7M61ED8hW52ICEuxIoMHQIFr3BKW4lDE8qDKeAxW1az6GFm+TU+lJ6Cq4FX+FRW8KTYh0oisiDLm6z1MqiGfii31xEanS7JQJO2jQGZmy1onJegs6K9lmiK4n0g5ZC6gCTdTnV4nvgwRW5O6Uq3x2RiRs3KIY90QI4MOsgIIR/Cfn6E5pPql2acua1QLrfmQYRMSptxqZM2gFdlip2mMIvj3VocZ+mAjGxt7QZG3Fhl6VaPm2TXJTl1QvKuJiWzbpoHz5bYTfySSJ3p2CPeXseHu/XEiK2jnUCvaGGJHIEh0vRm+OwKpywZQrOBo+ZJvz+SPFgcrhSSrmPwyklPAzqUP5hW/2/f3Wp0j2Y2Eb6cdD7F1GEMYGW9BZaLQsfvE8f9hfTMlmlC5B/EZzkyndHVGw/CiX6w1PQ7nthQQrnB/f9cMa6uSiWwoEZJ0iLuREictc+8RRJNzQmVOW7IxDun82IO0tsPxpZ3wsLyvrFCuW+EVeRfkcvEusALc6/aIllKp3Owq9OC+IUmLPlMGeqNt1iaAbAdUBb0OAkinHmBET6cYD6bs2rP//pMbWifA5FRx/urXE1Kdao0V5bnf1VnawPuiwxeZ3FJBvm0Lgt5gUP7vthdTuCIo3i5bwhnfMyguewZgMQRWa/5I6hUcp5cU5c8/KGbJk4cnDxj1fZblMCDymcZ/py3hAKJdJD+B0StSICUdyKdVi1Bc1McRvW2bZ7ncpzc1E9uO9HjoA2g1j42VrQMZJYs7SM5mQ+d8wWDrs/7iRA++N4PeMZoMGRI3o9aVSOz171Jgwh6GTF/A6G81Vs16iWzjGIdYI2Ex7F6y7VTCilnNC7DJ6n9R8dVNGDKHCnP9sAep/OginsRlPAApiCaBaVHstUH/4OtrdMDM8ds8XlKP+wLc2V62RWqGLlTQg9NS6Balfchj0yMAMEnVbH4RE9DBrE/0r3mOLwFe3FPl/YjewOj23KMMn1bFLc5BgC6dPnUPQgitzen+zEQGMI66R2TVpS65VSEKfrRqq8yZTgUTZRsU6dSTVsq8baRdE5+RNa3G2b0kT74yiOIwPQPVZuy4oWhoMdBolWb8J9pVNgZAB7sX8R6yT48qzy6AaX2U2+FNZD0T5LGhW6HDIcMu/ulBjGeG7i/Y7+dDNsj/XwxLgKxypvFs/H9GfuvPWnAAAgAElEQVQbxDiFyEtDIzJHeBnnM2L2EJjDgCw46QwzXM8mpRHj/hmcArWaKEtRuyWN1Y0vSh8KfKXFv+vZpCpvMlXjBwNOdtc50Cpr10Dn574eFxSifKcpOU8eEyYToQk8QxJCfBAaOiItpXvgPkYGBusA15msoFk1GxwzGT6bRG1r16ZhTKGt4P2jj3JAvszrUQPyFbnYgBQ0x8VznGFstFs0zmXgwNSKiZQ36xTh5C4X7bPEdpBiQAqKXSdMoUu5TmfBQ563RehVuQ0WnaFxPRXSU8VV/3IYHvXbHbtXNkH5fbYUOVWb0WT4UpaEucU6nDyQ3DGd+XBzUXkzOLRD47ZYI5LWEJxGMRd+dVrVbMio2nUQyfFyncAhlntUOwTpKSKTyaMHcaAtr14Qji0RDP/teRUecaZ1sf3a7WVO2+U+lxD0pahdowzvH5EJJNNuy3ajIPYltZXuLhQ9kQFbBIpMVg6POEgO8yGovynaZ4k7DguZB/f94jDkOolJWeW7I05avRa0V26Dv7wvieJ48rOnxC2MyczV7w2rZatSase9/ap0j/kQ37hmfUYE3qQjkN5WuTWrKt4dkcIuNA6Rf848fm/JXkvt/n67Csw5fGxS4ao3ZtTq7/SKNTQdufLuTuE70BaQrpNZ0QuQJuE6mVXrPzqIdO3tWcmiMa6kpGAlFZFiYzr8FBywJDHZdS0hHGs27sEpx/mGmiIii8WteBaqN2VUQQ+ado+Fhkfces5nEJqoBeHhUVAjqG9ik1RwwJJsG/r7f/w7j1r1L4cRUjbiTAmjvfjdbEw5mS3bhSl5casu6E5mJfSN3O+CAzon4jjcaRjiFpizVenbYyo0DjMIWjhTZE/7VF/SknAxXxL3sOmTDqHSLHWe4xUetkVsPvrTzcr3woJK/XwVEJ2jKGIiA04KuMdGw8d9hQnivqQlouktH3dJttHymkXZ5+rfPwL64DGsM1qR0qmJVMTqTRlJn3cfMwXFNZ5JKV8KTYY3o3NQsmgIqragOWQR6EujWarYAUSHVrWkWBHRrV+RVEf/bRMQ5wk07nXfHhTLWaUU9tteWyb/gZfmIApOoIF0XUsIelq+0xQ7Vk7fafNNFyNquEijo9bNOK9F5RZ+rmZDRkJrazZk1LKVSRV6ZUblvDgnaei5d2YkJJbZGLVr09K4uU5nBXkuOADqYXASa811LQFN1zTOpqJ2TcUacrR/oQmcCw0NCbgRpp107vw+/ayP4D7VrwDNlEGoRFaqNmeFgljUbknOC4dGxgVkt+QN4vmiMUpkwBZnLIb0Fe3Dnkrret471wlTaLMUwufdnVLhV6eRobQuLUhE7hjOqNh+PEftP9irjAtp5O88l5AzJziF5uHGF6XKlwZVjnkXpEX745Y0f3TKWrYqJUGR1PzxHimlxETFdSorFOHKd0dU5basQ/G9Pf+Qg1VJiyUZLNFe7IlMHTeupFTB6xOqvAmDxpr1GE4Ut4KqmN+Hnwm9MiODNWYZeTW91KeNMYKTMMuo3gQHs4IDoBXSXZLui5F+3Msrn1eomvUZOAdOoInJP2zL+3wiBi0pw25dp5AiX7MezzpDd4NTaEpzDzxqQL7M61ED8hW52IBE98aFdpI36GgZCg6A/13U7kwN3NfhA16y11L/95//L2xcw5jmEIYOTkEf4o9rQeBa8NtL9+BA4oS4sAtwf3DKls2CYYW+FIoJ2viV7jHFHaRstymUI07NXCecZFlO1I3zGdj/dTuHX3mTDoya145I3ZZMkChML202H3J3UgpJ6JxQ0vXKdS2hCt8Yl0KMVB8WCrl3ZpTrFIpGFjBlu5GSnDuGxoIBcIFZ/fu6UDxUb0SRF5hzrCv9cUfsue1ep6QdB6dsCegLzECESI5wcasl2oeCA5h4hUfgfkShI6fe/oQlgXruY6b6jz8/DhRhGuJMUjxI9aGQe+WHfUophDWS7ubNYJLY8mmbfDe+lJNd4jqdlaC+B/f9yjiXkSlb2S5T6FPRQ0BTiBIZFxzf/JwFS5Cd4LQzVWWegPs4CoWqzVn4us85uoOcBTzr1Kb4F53i2LiQFgtKGipQV8H3efTfNkE/ow9X0jc4jfPqqTppZ5zuKaXU6V8uU/l9uiHQFsOuk1nV86PdImB+cN8vicXhYScl2h/H8xmctNX6jw4+hFAyRyc4bYsbUWw/prTkO3PqHXhpTu4XaZREM4is1GxAmGdsv6VaP22FPbRGGDnRD8zBM595FAzR892aV5EjKFD9cU1DPJ8R/j81ArQXbqxdVN6bi5LXsPTyWEivD05rAXSf/RBSySaBwXP+uCXWmsY5IHeNdXGsBe3mRqc3InE0Poi+NongU13EBaecsDZvBtbedLmrW51Wy1alpPALD2N/yBvEWo722jKkKNqnaYxJDFWYr1PeBJ3Fisp5ef5JW6QVatluJ8W9oTEhmrnwiC0ISFE7CnB/3Ckya9eA3iLI85QtwnPfCwtws7NMtel73VLQF+3DM2acA1XTuAwrZvdxHQqnG7XwCPa4ZatSMs3O77OFxhfb77iSFe3T4Z2nMGDwZi1xv3OdycrfpXCYtEQaVOQftmUgExrHWnU9mxRxPgXOkSMYVOTMa03ey7PIpNAhlkop1f+T7XJfOVVvrI87uUuvTjtoXyvcpd78bZ68f/cxiPmjBzEcMc6DSluxwxRxf+unrSiU9X7seT4uA5XwCPYc0n0iA85AiEM913MJ9dpvI2rtR4eAJGm0kUhM/mGgpP64JU21x3SMXmrXpcVdkihZ3pAtwvuK7VmV8+Kc8sctQcFpYMKLSFlDQ0JQLtoI0wyi4PUJOaNp3e9fxL5DHWFgFt9FY31cdBw5Cwgy3vJxlwxCatZnlHEpLYOgwJxjYmFcTiFraTtMTUix5NCxdI8pKA0NdIhu0bihYgcGOAU9OKd9SW2Soq2Xi9pBsar79iBsr68mJWCVz2NoAkOygj2PKFhf5vWoAfmKXGxAirctYmqlvf59Lyxg8e8xH1rweUPYTJhyyuAx1xlM9nJenENI1Z0ZTOO+NYRpz6DDH4/02wJVM7wpMKepMBMoqgIvzT0EIRe3AVFgAjOdZGjlGJjTQjdNXwiPan61FuCGh3UwlXbx4kSbU0FqCxoaIQ6vXZsWZyVenEyFJrBZLv1cq/LGlfuYqVZ+2KeMS3CaKdrn0EpWf6cXU9H9mM75bs3LwWpcTYoYncWecTYjyfQshGL70UwwbDDv7hTEf89AVFnYbYlTDqdGOfP4jK/9NiJ0JPcxU6ZSuUdtQVTKdqFAZrDUg/t+BC/q/I3oIa1p6MVElgF9bBaVUkKFKt2jPdmfTUp4IxtcpuCSux8eReFYsz6jCg5YEujnj6NgYo4DhZoMZSvs1i5e27LqSc8RoQSyiczTVsA//v03JcW+dI+2731jXJAlNhm0d2XQVWkzUAZJG9YwvHEug+nuDVjAVuwwhSYY7YWGgHxnOhkVHMBnzpnH88TJOi183/tfQZU7hntJDcYTBZPSaDHwjIVfcSsm7//fXz0ISNTizvCIdilbrwXoumE2zsNFzZvG/fWlUAAwkIzZMrH9KCQiRzTl5Tk4CBmX0sqb0V76w3oq+uIcsmW0tz7FznyWfLfmJf/HuJSW1/BoN6ySFnwe1wmsb2ZNsElbepW04L3nHsWUmIYUpLu4nk1KFkHumBPeyUl4cBLP5Ju/zRPETAJPT6EIJKIYHnYsWEmXDE7ZogNhs+5LgmbiMSFyzz/soLIUIZftNlXdkykJ1Xtw34+9Z9ppfMOjWE+hCQx3jMspoV8Z5/A9uk5ngay8sCCIJ4t2WjvXrkFWiS8FbYzn+bgq22VKqF7kiC0FoPs43p9/Ec+bN6sbxIsIoDQupZE+P2yrP/zpMXEgivTbYi7hPg6KITVXD+77xe7a9VxCMjnI43c/DUSAKJ6Ew2oKaGE3gvGIhHOIQ3vX8Aj2NCaiE0XIG8RezybPm3aGOmxOooewZpRSqmQvfqawG5/duJISdIUBrRU7gHZ70/pnnklJ9g51kESZS/Y6hh207OYUnsYIBQcs0S+4zmDwQk2k+5ijm4gexDNTuseUQr68yZQBlnEelN7Ln1ep6veGletMVtAcIqNVm7PyWu4bcUHPqV+iNsVjmar6vWE5C2Md+N54RXtttSoyIXpDZpIUHNCo4juj0F7eiCPhXN/X8iZTkH5mTtHYJmfBkqEN3QN9SUs0bAwYpVscQyEZSBycxhkdfHkW2q7n4yJAL+zWCLLpULO9WeiCmHfjupZATaMRt8ptWfkeaL9bvRFOmh0/3KOCk2g4aGPsOgX0p3jbIxH6l3k9akC+IhcbENdiXOwASWuhywRFi7TwY3YFNQQV27MCLfPwNC6nJEGUAj3jQlp47sZ5hBdWb0JhFOtE0Z0zv6R41nC8cQ4FEQ9eiq950HvTDhc6MqA59Nrlwx+3JHnYv4hNNzCnIVXt9NX1o2ZHFGo6vvuh8YeTYZfSnpatSsFDXQtWSesqOIADyPVcQnzLi1tx6Fdtzqrabw2JNWVwEsVZzotzqumTDggTtQXmUl0C3aFo+xs5gt+Z34dmgqFV3rQltpnGMylJyiWCkjumud7j2FQJuYcmQNsobrMkEJAHXkkL8gboukURO20Sl/rQKwXrRvqzM4SOCcmhce0IdhoUrsCMLXoTakOMsxl1+9dFcKfRgV50lSndY4rNKDnwBQecMCzeO0766e5CK+FN3+sWOhSbhcIu7eh10FabvtcNEb4+IEl5i/TbkklQ2GUJFJ97FM9ZYE5noUw53P3glJOcvJT+EOnH81TSApSL/PYtH3epnAU0YXQQMy4ia4B6oYIe3LPqjRmV+vkqaIw0ouC5uSgNR86CFtmOokkt2ucUxNRDuE6BQlj4xri4zBDdCo3bwnGn2J2ubqV7TEFHYx24dwyuI80lOI2CkAik8Kp1gKj7ely0VtSWVLw7IhNK17XEP+1TDQ0J4f+X7MXrVm6FRScF0mW7HWcrSVY+nxGXMmYKsUmmeUFJC4rD8p1ajzWOtepfhNsPQy5J65DMhnMZtaIcU+SCHkusOkkBJKXVl8IUmVkCTJb3LwKZYnFGqhYdwoKTDp2OBd1SrU141JZiTyklRbvHRsNY0uKEr/lSWKPUgFDTQbto15ms5E5EjtiCNtEV0XUtoSp2gErL3B1fCkU4EW/StlynsyLAp7sRnQrdT5vyZ66TWdH/FLdC3Fy9MSNuZaTeVuyA/qd+eVJCNct2marsnVEVnMazlzdoS8NGKpAgPv04v+iCFZi1hQpa0oL3UvTmuArMoUgnqk601JvW9+hUVnKqqAvxpS318m8KZXDkOoPnJvfODPRac7YM5kqbTUERXKeyqutHzdI8MFW+uE0jvPr7ZyaGLwnkjdla7htxVdRuqT/86TE4dr2woHZ/vx1aj0No+GvXpGV4FT2Ifa2wC/fOn7Ak6T3Sj32CzAFexlmc7/XLk6CV6iFBbD/eC5HyxnowIkITtlBKK7dhHRccQDAwg2DpeEaHQX8c+2n+Yaynih3O8xHttYV2WtSOpsR9A05+dNCjHXdht97P3xiX4aN/0XKe/ZuLgihSd1nYhbOjuE3rSDTd96GwyNNZQafZ7HpvLqrq5bOPGpAv8XrUgHxFLjYg3zQxHffpCROzKqgD8S9akhxrXAKsz6LGl7LU3M/WCQ2hoRFWuOFhHbI05yAM+YdtmVJ4bFNcRihqDk46PG5vGlkHxllMJOpW41At7EYR7DoFONV4JiWTW1LAPBa49OU7TTX0062iTaGrCqlHLNgjAw5CQqpFtBfNGC9f0gniItc/PArLQ1pZrgqOgpv72qQI1iis5aS4uA3FQOEb46p2XRo84EFbDvfadWm19qNDQg/z6sA/4zzoMLQGpUCO4lEeNtSFlLQ477egBy4zKyrnJXQwth+fsaEhgeZL01/KdjvJ2XQ2KtsFISPFg3mDmB7Rhz9nQQs8teCytNkUISKDv+Z+tk5FD9ky0Q0Pax65Doqk4QBpRp/94X+iKbmouddLuMbUF9FGuWYDqHZ0/TLOwhghOGmL+L3ggCW6nWtflIPysBNWoIXdzkEYmsBzwtA3FjT09ef0liFk7qfhVhWYw+eJHkJht/LDPjznFih/BQdAiVFKKdezaJA9Ngr63p/sFJ1B9SboWcKjtthRMpyu4IBugp52Jtic5FNE/uC+X2271ymHssfUonptdUw3Ho8FZy/3jbjYexZ24z0Wt6KAY3AhG2qmAnMdep6P47s4iPVT0INsl8jdKVWzIaOqtmSlKWKRUfD6hBSO4WF8prwh2NPWrk2r6GuT/7RPBWbRDLmf1qYId2aEZ8+E+/w+W5qBWAeeIdcpaFiih1B05g3aEn7IgDbXGUxDV5bMACnS9DyKdj02rK8Ds7bYHbN5Mc5pZO56XOiLDDCl81BhlyWBf4E5UJYY8BYe1g281mdVbs2q4Muz4rBVthvDDgYW5syjOcodc7QXdMHKmUdzSmpKzYaMCr0yI4nSXKuF3Y5zlft6XJx+lq1C/hOfpWWrUpKnUtRuCVpd2myq5TWLKAz3oeiv2pIVBLWxPi7GHsurFiSoMf+w1hqcz6jCN8ZlmMU8kfw+W1zSIgMQM/teWFCF3Vh7/oQeujwNKi6NTELjOLdy78yI01P0oOMkWPckzBliHY7+irlL4Ven4fKmPzMRirxBNA7GZaDLoXFbQgajvRqp2AXBfqQfDQXdDkub8d1SzEx6lnElJQYvxtkMbOZ1YUsdQ/5h7Kuu01llXE1Cv9YD8xGifp7n48r6xQqxb3edhl6hoMcS+iXZBb5b88p1LSFIG/UkDPLkIKbozXGVs2CpxjpHhM48G1KnWKC//JtCydia/mwDkBFtT2xcTEt+R84CTARK95iSf0VKEwc3wWkMWNw34jgHh4CY0fqZVvIryuck0Tw8qjOLTmaFTmtcTsm9o/4yOIk1YjyTEqdKInhEd42zGVC20tjLypvwfNN5zqebT9JUPTYaJP9zY48akC/xetSAfEUuNiDla+chNNdhcTnztjivUKgYGrfFj718J4qB0AQ2ZFoZVuwwJUegbnVakA73cUxp6KZUtxqUDjq85Peh8CIP13drXpU3mWrtR4eU62RWGpbSPWhaIke00FQXP9SLrCyZkQlu3qCeTE87AUYFPTjE6PJDag0tXgsO6LwHnWbuvu5syNRQUCtQtsuUqV5xm87VuIDijZN7X9IRwnqejyvjalLl99kPuYc99d0e0KvaMBXPP+zY1nIaSvEvC1HSeihYJaeYE2e6juX3aYqQdkfxZh3xJe2Mo71OcRM9BIjbuJBWBT0oYjgNpBgzPKwD9w7h4KSjjlIK/3zCFL0Pi8/CLhSDBa9PKF8ak7sf//6bEpTmOpkVbj/T0pkd4UujiQuP2uJCQ/vS8LAt6b9F7TjciEZF+m318m8KZfIVnLYl9I/cfzqhcMJLe126JvHnOJUl/cx1As+e+3pcJoPG1aQKzOqpadZS/89fDOXN6EC5GUeAqpSSYoQoC6fc/T/ZjgT00+DKX/uiHM/PBHQm+Yfx/dSuS0tTzQAt781F0NrGbAna2nFvv4p1oAkqbzLFZru4bUnuxpvjqvGDATSdJ0x5rny35nFA69DConZLQtSIOIRHbbX7++3ime9PQCzLlGfjalL5bs0Lkrp0HecNOi5KzOGg6cU/XpF+Wxqvyq1AukhZZCp99CAGA+5jphg+0Habifa0CHedRjMW60TxUrsuLYU5kbnynaZq/bRVGm4mtnuJKk6g4PeYlqSl12wA/Y45GLXr0lIY0ZqVYnVq3eT705/fY5miF/AvOpk6b/42T4TadMwiYqUUULVIP1BO6q8iA7b68Hd+Vb8iKY1E5TbYb1e/NywhsXWrsS6K3zoqk2Ny/2nBzAEP0WlpOnqg46NgmfeCeTHRgyhwGZxI6iqzVNhke2xT1a+AmYDn+TjQjFencYZcj0u2k3ERaDxF+ryf1MnQACA4ic9PB76y3dA35Cxouqt22xMEWaedX/68Cu5v7Q6dqGoLKIfLVqXEfrqoHd9ByV7snXydyq3QIDHAk3lErtNZQdy8GQwKVpbNKdezSQl4pWFIQQ/WAQcVgRlbrHcLevC+SEmOHtI0ysspFR5xXi+/zxbKVe5RrL2nvtuDhlGj8KFXZnBOpSyxBuZFSlvpHlNoz7QY91imhApzrcc6cH6FxiFW91imDBK9aZxb0YOwFQ9N2KK5rFmPJoH3r2Qv/pyUPg5HwsNovj2m1uJoNKTy3RFV+vaYPAuFXfgd1O1FBpzBlfs68m8YlkiNFwevjR8MKOOZlLi0VW7Lik0/9WnlO01VVzn5qAH5Eq9HDchX5BIb3m4IeSmgjdydElEZRYpF7Sjg61anwTd9GsUnQ+WMS2mZkDNTIDyCxZ3499WARm38neJWbNrlTaZMJl3PJtXq7/SqSL+tjvzrNlXcBiE0i/K8QWyU4RFbKAOkHTBcjWLDa1+Uq8CsM6ku2QvuMaekdIwJzNmOuE8jPu7rcdjLal4xLxa1tNrlRDc0gd8R6cf7Km120IjcMVsOkFgnCvXgFO4dA8to40nakjeDn69dk1bGhbTwmZmxkTsG3Udo3JbDODhtq9ZPWzFx1EFcsU5QPWrXYSrlTVtiCRoad4TL3gyKwIodaBwYUseJj/tGHI1VmyWNX3GbExTIaZZSsEsVpOaYKRQ16kdIbaILU/3ypARHkkO8KjKBwDjt4+6Po6BZtiqlar81pGrXpqVgJ9LGooJ2th4bRX3tOtw/UueivbY0EiyaWRwU7bOEBxyctKUhK91jig4k1ommufGDAclkiB5Cg1K9MSNJzQ/u+5X7uCm2l+6ntaA/jSms9+YiGqhRvFbVliyQiXGIw9mQFbdZau1Hh1TltqxK/XyVihzRQuutKCCok/I8H1fem4uCLkQP2TK5pVFBYMYWikb+YYee5l/E76t+b1iE/qTTGGczkphevwJ5JLSs9qXQWFIXxu+UlMuaDZgulr0zitDCcxlJGQ7M2DKZb/20FTz6TseQ4h+vjh/uAdKzS7s1TThIVd4Qnh064DQ0JFRgDtNPFvoFB1CMMCGc1DGGL/K7J/2SRWDZLlO0Qb5b86p6Y0ZSyCkOju23ZAIdHkFhQxE7tSUUOxsX04IuU4BNmp9/0RKzD1JHWTgxrZrBd9yLyptQdCulpAAjClfQA/c9InkV2/FaFM/7E1rrtoD1H+vU1JkTuMcVO0BvZeOfO4bvl2uNe0WsQ+eG6MFJzQYkmBf0WPIcFxywJOQ0MIPCLv8w7isbyLy7U6p2LdzeiAhQcF21OStT/LLdpvD+c8fw35hEXr0JAX1LefuCxA0tadQ0PW7T97olP4YWs5EBnUelaXGNtYtA+pOW6BGJ5IQmHETUn3D2oPImNMGFXaD3EM0OzDpaSFIEjWfw36O9WKMleyGO9mbwe/ishsZx/wOzWKNE/8PDDs2TBiMcPlEHmLOgs1fGbHGO8yUtyTxiKOZSEbrrBIaMpW+PQTOk9YWFXZayfrECYnKt0aSBALOc6GxFwTpDWv/wp8fAaNA01uXVC9hnNVL74L5fco2qtqCZJZIYmLOFqsy9u2pzVoZhgTntTnklBeH6RVj40u1qy8ddyvfCgmqsi8M9bNIZpuTMo1GP9joW+rSA98exJj2WdgfstZVn9pEI/cu8HjUgX5FLKFgX4Iyx6Xvdqv79I+KERb646zm4M1VvzEhmAJ12SvZiqum6lpDsA28ahzT5lrTjI7Uh1uk4WJH/781aIjor3WMKFN74wQBSoY/aYlmZfxgITd23ByWdO9YBMSotGgOzTuAWCwny4YPT2Fzo/rH2o0NwvdC8WBFpjz2chE4r4cp3R+TQZoCS+ximLxXbscGzgA5NYHpTvTGjbnxRKhxx/+155U1DLB2cxv2sfHdEle8EvM0AwcIu3MuCHvzzg/t+caXp+dFuVdyGe9PQmJB7x4AsFkEFPVoc3oyN37gKbQZFs+5jjitReBjfReW2rIgilyIe5U2mFJ/GuYy49iilgEa8NKf+/lcvkJRLaaFd0d2G31fumKZ5aF0GkTX/orbR1U0PQ9mMyyjsgtNwt/FmLDENyBtyNCk16zNykAen9ESQnP8Zh9e7495+FZzCe/BYSE4Oj2h06nIKYVQLECjSeco4D2vG134bAdUijmKmdk1aEoDDw7ZQWTwWnjX3MVOKBaWU8JaJCriPY6JJ+kj41WkE912FpSknxZF+/DwbgLy7U6q4FYUDE5z9CayR2nVpCNNH4bQVnNT6GJ3o7D6GNcamqWpLVqiNxtWkg9JpGkLuUVud+GWDKtnr6GqWrYIwOudFuLZxykv6JFONaW7BrJ7iNhRhTZ90CIXGdTorycz/eFVtBrpSvSmjPM/HBc0LjWsHpCNo0AsOWBKIWr0JehCmf/O/V27Nqgu/qpH7we8sdwzNX8UOE65Ix0xJvc4bxH5DmqlxFtk1xW0OghE95IRPlu02lef5uDRKkX5t73nClHyfWAcmuRxWsFnOWUDhTbSVjQaLu7xBTR3K4POvqJxXSikEsWoKaXEbitiCHkut+KBfhYex99F1aVVkQsLjQrTmbcK+Ubc6LeiLN+0Eni4t3Gk6wiT40IQtQZGx/bpAfwYon3ExjUR6nQkiSJfOjKrcmoVTm+1kOBBd9lhAoeheRqMJmjFwQu86lZVwT8/NRbX6O734906dVXU1KY2a8UxKrSifk0BTGlfQicn3woJQciu3Ya8oenNciu8H9/1gCJwDvUs+z6W0Mi6mVdkuUy2vWlCTnz0ltvFkFoQmUPgzyyQ46Vj6BuacZ7r4raPKd2teVbw7goGARmzYiFDzx+9v8rOnVPVGrNVor9aZPJcQO+/YfpxpsU7tMvninHKdBlKzbCWsr/0JrFleuUcdNJD0Mgr1iUBTf0W0XNLDBxw3MzaJxpUUdCpaV0RqorGm3/kAACAASURBVPt6XOWO2eJGSQo285eY98VhVmM9NGQNjTA6YOCt+2k0HcVtlhgg0PyhtBmWwYFZUCErt2bFVZDaocIuS3Q/0V4nhJFuezxTCnos9c3MwqMG5Eu8HjUgX5GLDYh3Ii6bF0PqyFdlYeo6Cd4+ObQimruUlhAqQv+hcUCtvrSlSt8eE4qI8QwKO18KzULOPDZe93EHyeAElYcY/1usE4eLcSUlWpTwiC2HdtkuU1Vuw2SYNpKtn7Yq/6IldBWKZOltTmFsaTMalMjdKdn06CbFq2aDLjz0AUxqRP5h8JUj/bYUne4bcRHtlzdBk+E6nZWJE2Fvb9axMzXOQRTJICyfdnMpaXEajKJ9ljr44yZ89lGH/8wCg0nl0YO28LclALJTU7K2o+jxxy1waU9oGoVOgqYzFG0QC3owXavanBXuvPt6XDzcmZaulFL//ZdvwNJQuwUFp1B8k9dtXEmp2jVIEPaYlvC7fSkUIIFZW2xgqzdmZEruMbU7kw78Cg87eSYMfmOxZ1xJyWHF5zVvUDtcDeik4nVp2C/OYIJHulz0IF7/wX0/Di59/8nXZyPFxjDai3vMlPjgtC1cddcpiO3DI5jMlbRYTmr1uK1+88fHVGy/JYLS3DFbQh9L9loyWXSdyopFdXGrpq0cwaFe2qwRqmdSkhaes2AJshKYtYV7n3d3CgfrdfCtS1os4WYbl9LKuJISvYr/9jyKrMspsdjmZ82ZRyPO5tI4D6em4MuzWGsJHT7WDTpL7phjKes6A357/mF8T3WrndRyBsKt+KD/n/Yp40JaBKq0nOY03mObIkxlVlBwEt997Zq0UAeJ1lDDxsRlUhDXfnRIxPZ0ODIupEEh0fbenpuLKJ66UZQX7cOfM4DPo8M3xaBBIwiuU6COEHWk2L16U0aCVVs/bUWomxYahyZs1Vinw+00ehDSls4MuCOKoJRSeUNopkv3mCr62qSsZeMymkc6ZJXuAXIWGUDRR92TcT6DjIOjeF3meISHbdlraCZAjZzHtGTfKW7FtJ+6IOMZfL+lzdgzSlrwrJOSSsE6XY7cN+IqMKvXq0bjA3O2OAmWNgPJNK4mxSSBFr9lu4DsNH4wINqp4lacY5Ej2EvKdmG6H5zEWvLHsQ/TzdF1JiuWzKFxZNpEe7UgXyPjNetRZHssaOLyhmxx+atdk3bc2sacfCM2yURHZBB30MkwCcw4Q5nSZlPODZqhGGdBaat+bxj3RFNc3dexd9AF0n09LoOt8p3O0KNihyl0QTZBHNx4LFDsatZnHjJdIQ2p9dNW5dGhn7Sw5+co7MZ9jPSj4Tn9y2WgHG4FelG7Lu2EO+qmzr+I7zr/sDYESeiMlZuLsg9yCEKHTNeZrNQBpDcvW5lUy6sWpIHzPB9X7utx5JuM2BJMWbUFA0PjckpVbc6qyq1ZQfeJyDFTqWifJfsKh1YcerqPm2J/XfHk/KMG5Eu8HjUgX5GLDUjh7rgU6J7n47DE1Ie1eMLrCaLH1DQhTbeI9ENEGxmw1dF/26R+8HtDhUcx+Rn66VahWJEuVHDAEt0CD7NYJ/jvwWmd6aGLN9ezSefvvT4hLkTWL1YgMO+EqXZ/vx2H4K15sUdc6rbDLAU683gsUzin3gwOKY8Nt5+WT9vEUrXgAApXXpyS1i+HGJ9hXMzDyBu0RfS9+/vtquCApT75vUvCjoLTKP5Ja8k/bMsBzIC/vCGddqvdsSrfHUFBGMdmzglbeNhxhypqxyZKa+Tgy7PKY2qayIBzMD3pHVQ1G+BOQ1qXL42CorB7SYF2JSX2g7Rk9dimJNyXtFgS1LbU0lgp8Ksj/U5xylC4pbbLxkXYmIZHbPWD3xuCrJXuAeWDf48BZQyJrP3WEO5FAgWH61lYjVZuzYohQM4CDACW8sKjr02KRWNwCvct0q+1E3FLBP4UxRe/dVTlDekC6dmkBPyV78T7Wflhn2SnuE6gmONaYaFX3Iomsn55Es3uvJ6OX0IDQrGj+wYcwnLmUcjwM8Q68L6YJM48kZK9eP5Jf5j87CkVmMXnLHtnFNonrdeiELRon6XK3hmV3AjmEFRuRQNT3IZn5sQvG4R7ve1ep2PDrB2ymPpOo4DYfo0KXUiLSLq02ZRsCFplh4dtSYGm0UFDI1ytiEASWczvw/T3Hy+iZMYFIE31y5MwGtDoTHgU32lwCs0SBa4MvTPOZeSZKuxyUsCZSeJLYyhCbZrHgvsOBaws5tm4hiawT1KUnDeIz+o6nRW3prLdsP01nkG2ypaPu4Amn87KUCHnxTmhlkV7HWMJ4zz0cIVvjMuzEBmA9WneoPN8EXVRSkHA3+u4fIVHnSR7vv/CbktC7kjlCo3bMqAo7MIzHz1oi76O68ifsCSE030MazoyoA0wDtriJORPwO6UjRhREdJ7qc+RRnlai/bTllr1L4fFeS96CK/74D6oMQWvT6AhPw30hU1N3iDOC1KzitvwfMQ6sYdTy0UL7KJ9Gr29iOaIrnmF3ZYkkHtuLsKhTRfrHssUrWH0ENCqxtpF0YfRda+gxxKdYu6YLUU7A2KXrUqp1d/pFTMHj+XY5gandIjufjzn+YeB9NJwImce/71yG2htFLjnLKDJjO3XdtB92PO9NxdV9XvDKjiFZorZGEwR594fnEahnjdoq//48+Oy5qhpDL86raK9+H5zFrR73RX8c8HrE6pslymDE9I2PaYlAzn3cQwOjPMZ0Sx5LFDsqjcBCXbfiEuT6Y8DZXQfx31saEgo93E43PFe0hClemNGMsaWUl6L9mEty33TNrt06TKeAc04cndKzrw7v4nCuGVzVizTC3r0gO2AJfEDoXFbBfseBRF+mdejBuQrcrEByRlMiIOJcTkF56AjjugsZx4FPd1ZyMdlccxpBv3yqzaD2kGqky9lidsTPb1ZwKz8sE8SZ/1xFED01w9OQhtS0GOJT7qEt3VaannNIpJt3wR9pvCNcYi1046IjdkkDAtkUnjVFsD2pW+Pga51OSWuNdFDDiWMFwt1sTI9nZVAq8Juh/blTWPjrlmfUTkLlvCdqaHxmMhZ8SUtmdJT9ExeePQgDg06L1EUaVxOwanluYSqX54UlIVBSZVb4XnvOoONngFUkSM4rHNeRPhcxQ5TEA4mplMU3NCYEJFrtNehNNEP35vB4VfS4jRWwZdncY90YVO5LSvJssyZIM+fDQTRJ4p6w6MoUMp2adeiI840PzCH75aNXvjVaWmOH9z3q6otWaGUhEdtcRlzX4+LRoGi65IWS9y66lanhYNevSkjXvjGORyWlVuz6os/PgZUS6c6Uz8RGQAKSPccbxaHc2E3pmmu0zjIqjZnJciOVLXqjRlBimiFzKmycQUmC8wTIdJHgXmsA2Fi9M0nnYW2w3w+aUTgvhGXLIUrn1dIZgW57+7jEKO6zmSVcRGFj+fmojxL/tvzou2K9CN0kELvWCdE9pEB5Pfk99mq44d7sN51IbLtXiemrC/PIjdH0548tiloF7/H0mYUkf94saileJWi4V/+8XEYQRyHboGUQd43NoMlLZY8r6S0MIflwq9q1O1fF6mK7WgMivZZggqGR7D2aJ5Bqh959kf/bZPQs+h2V9iFtei/Pa+qtmRV7Zq05PGUN6GoMq4mZU8t7EJj4z6mk8XXA+njwIPOgblHdaE45Dgale3CZ1VKqaotWbVsFRDj/D488/w71ZsQEJp7FGvVdcIU+izdiohUkmrKzJfyJlNsUH0paLSMyyhAvTcXVd3qtKwjj2UKbZL3iSgEG6BoLxpzuucxyI66OD5n3GPYKH30O69QXmkeEe0Fba58J+5d+U6YJwQn8b27TqBBjh5y3MKK9gGtYE5E+NVpFZizxbCDqBCTwN3HTKG7+W9rs5ZWrCtSHWOdOPPoMMhBGKf+7mMo/GMdaN6MKynHGv75uAzzArNoDLhfUzNCIb5xOSUZPsbZjCA51IewAbj8eZXy3lxU9e8fgS31rK1Wf6dXPfXdHuUl3VEbjRgXtAHDS3Mqeujh3CvjXEYsnKmJ4RlJlDA4qd0e91tiQBMedvKCiABRkxSYwb5HlJkUucIurB+eIb6UpT76nVeGdWy4XWeywoao2gwmAinB7utxea2aDRkJkxWt42nEBtS/fwR5NSeRecPMs4rtWdlT6a5FXZjrTFaa7byuRw3Il3k9akD+N9d3vvMdtW7dOvX444+rr33ta+rOnTvy3/7+97+rkZERFYlE1P/4H/9DPf7442rPnj3qL3/5y0O/Y9myZeprX/vaQ//bsWPHQz/zn//5n6q5uVl9/etfV1//+tdVc3Oz+q//+q//4/fJBqRsw4Ly3FzERtLhpGEvzSugQwUTWD2WKYJrFhYUL9O1KDyKKS5Dw3IWUHxHD2GjaWiAToC8Z28aEzhvVnt460BETrroukOb0upNELp6bkIomPj31ZKCmzOPjZ+c3cJucHmL9qGZyRsErYmiYTpmMOOA6b68XGeykg67vHoBAWLvH8GEUaejF3ajgOn/yXYVmAXiERnQFJNZbNbejCXwvOtUVqhSy1alVMW7I5KMXLTPEl9+/+154RD/7k+PIbxpCs1ZSQs245IWy7FcPaFpabsdt5LyJlOantCELcFZdHMJzGgqUQqUnOI2TKIY/Fep80Coz6DLTvSgY3FJgWvOAhq+kr0oysveGVVP5E8KP7huNcSeuXdmJLOlbDdCA1k8l+80RaxcvtNUk589BWj9EJ6puidTKvDSnAq8NAcI38T7Mi6mYY2rcwiK9mk3ryFHJ0DrZeNqUq38sE/lvDgngWn+RUzDvTcX0WgcgViVjmm169JSqHks3NPCLkulfr5KRQ8CBQuPasqL5oaHR2yZfCulJLGciOCD+35V0IOsEmqUAnMoRvlzkQGtGzgNoXBwUrsOtTluQK5rCVW+E9atRW+OC3XEdcJUFe+OYFp8ElQ6Uj6YixOa0M+ZRqfCw7bQyjw3F5U3bUnWged5UGk8limJ7eFh0Ns6frgHf6Z1Y67ToLaQjsLvlMgUdVmk4Hgz/xxEmHd3CuhIqxNYyKKj9dNWsc7NPerQWmL7LbHT9Jg6xf58RlCg8p0oECveHVHGxbQ02OU7TdFPNNbH4XLVhmJVglmnQe8iepA36NBIXSdM9fe/ekFje3EOWQWaPkjKaUmLtg7Va5CFjut0VpLdWfCzwWFmgu+FBXFni/TbIq4mskqUJ3rIFofB/MNoBIrbUHAXtVsSxJY3BKpZzYaMZDAQJXGdzEq4HFHr2nUaJdJW3wUHLJkWL7X59dimCIvZZAcn8Zqe5+Mo5vRzwFwk2l2Xvj0GOup+S3I8aJYR68B7dx8zxeiECCpDc0taLDHTYKPJvZzN4tI8KONKSoYlwWlNPT0A5JB6hAf3/dKI5CxYQvcjnTVnHj+Xe2dGEM/cOzNYF9pOtu5JpHSHh/FdF3Y5lDxvBvrB8iZTLVuZdIJ7Bxy0wnUCGjkO3AJztgQuNjQkJDvLdS0hSDqLd4ZPkkLpX3S0PUQv3MeXiNDPZCVU98e//6bq+lEz3K868VmJ4uX3wWLddQLNWN4ghhGlzbgXwUns92W78OxWbAcVuW61tle/O6W8GX1PdFPpsZwhQmAG9zE0gfM+NG6LTqm8yVQFr6MhNs5l5EylhXb0kK1O/3KZ7P0MR6zclhX0tGZ9RrKM+L26TqPZoOsVdV6BGa3hiT8KIvwyr0cNyP/meuutt9TExIR6+eWX/6kB+dvf/qZWrFihbt26pX71q1+pTz75RJWXl6vi4uKHfseyZcvU/v371f379+V/f/vb3x76mSeffFJFIhF17949de/ePRWJRNS6dev+j9+nBBEmFuF5bzr5He7jmPxUbc6Kg5Uv6QhQ/QlM98kBjnWi0I0cwcTlxhelqnIreNO0suSBxMO6oTGhtt3rlGwL6glq16TFzYd0D9fprJr87CllPJMSy9lIv2M7yOm0bNy68OCEvaAHzVT250+Iy4z7mKYWnER44tIii1x/Xsb5DA6BUygAc+/MPFTolrTAMSXSbwtljSK5sl2A3F3XEuJGQ5Fc8VtHBSEKDwNRKG02ZZLtsUyxC4z2ar60diB7+7e5kjvhTeMwXlmEaTZtjiUnQhdlpW+PyaSWh3Z4xBE2ljZD3F61JQtBZr8jfKzeiIOSHPicBTSlpKpRfFi0zxLUiU5S/E4KevDfSvYCweJBKRaoB0HTInLGrAgWaOFhRzwa228JJztyRP//AJ6Jwi5LCj2Kg2s2ZKTAEOHopbQcvpGBh21dmTwfOWILzaKw23Km99O2IFqhV2akIWa+hutaQtYGkR2lgBTRuaV8Jw66G1+UqtK3x0SL5T6G9UYKiesk3H6K2kGZMs5nVGNdXCa+oXGgJ1VbsjIIqNiOqbgkfL8yA272GvDaPZZ2PjsHOhPpfEXtmEqW7zQlDT04DRqM74UF9dR3e8SdLG8ITQNdgYzzGaHVsGF0nclK4jmtlsMjKIpy5tHskF5TsvefGxCPpSf/upGhGJZ/j80JEUmGsbmuJYAYns6KgxSDHWvXpEVXEz1oO01jyhLKDAMT3cegMWADHX51WhW+MS7oVtUWoF01GzLCJefU23Ut4VhBTzoNB5GVvEE0wrVr0qIb8d5cRIOu3bjYVHECTtTVY1oiri7sssSCWcw6tJMP/x5RFWZXsNmRz7UkZ4dJ4KEJWxwF3Tfi0Epp6lqkH0Vhcat2ujqfUWXvjIqonuLx5VULKvzqtCrZawllVdy8BmxJ2WZoat4Q9pDcMVvOmxUf9KvyndBkuY+jQCUay5wpjw1KJPdW3//P3nsGx3GdaaPcH7v/XK76dusrfV5v9yTMDAaDAQY5MwEiKQYx5wCCYABBAiBAIqcBMHm6mbMYRYqUREqioiXZoi1b0fLKlmw5W5Ilm3W37Htr11V3vd7lnvvjOc/bpO29G/6oSsWu2lqLEoGZ7tPnvO/zPiGNfap+Pqh7SimZ7LFwl8T2PuxPVauc4EUi+UwSp6tW1Uo0odUrYJTCKYjrQE72Ldcl0EMbqyfUwlfbVeXqnLwnpENGW52U8cCwdmAaxx7D8MbiZwelkebE1XUAjROZAd5HMVmgVoNazuoVWQmKpLtitBUgi2s/zjCmkpvHsqp6RVbeOWZWhbvuZj0wyJFn0hsfmco4DnMO81hWaNmnflSHxlEbC9Quzki2FgNszcNZsZcni6BinbZY79WAyJUpAFRf6VPGQ2mcn2ux9kbfWyTng/GQAzwVdjo23QU9aGB9j01At6VDYRvmpmRiZR5yJlTzX92lSlrABJDJuAZXA8MQwbsm7rlgfZbXvQbkv3H9cQPy5663335bTZs2TX388cfyZ9OnT1ednZ3/4d/54IMP1LRp09Sbb74pf/bGG2+oadOmqR/96Ef/pc8mLljWJESP9VNwm3lpHwTlGvGv+EofkPwpS801umCrqf3zyaGNtOOwJGpjnMamX9SGIs6bxr9rrJ4QHYgn6wh5icLQP951KS7J6EVtlgi7PWmN8PRA+EYf+fCNETQ1MxMyOmexQc5y3SK47DAZlc4spGeE9+Cwrlydk9E0LxZSXt2k0Io2ug2jZfMYOOwUmJJ2E3pqVJy+CjtwiIT6cKDdHx1VBXtRiIW7bLFFLezE96Clpbj9dNniTlXSYsnnL3luUPmvxXBYtDvou3kYDSKpI+EuHFbTm5ISskcEr7ADkwU2F6SoBYZtSRX2jzlWq0U7UegFnxhT9fNBb/Ck8d9XrIXbD7MjmPNCCh8nNf4xW6gQROHJiWfWyawZcUGmqlbl1MJX24XOUdihEf6LyC6Z1RBH0XwEo/bpTUnJOWCGAqcOhR141sz4IHWMrl23b/kk+yXv8ZgqbcbvLH+hX/IkAsOgk/jHbHl+s2bExeGFBgO0vyxfD4TROAFNhLjTaJ7/9KakFGLGSYjwvY9OgL4wZUmiseugQxEyzifVzJmg97z38d8q1/6c+tov/DIVIC0mb9ISHU/RM0Pi3EaaD61efY9NCC+8sMMJi2SApFc7ERU/O6iyP7hfxL+BYVuajIK9tuiIqlY6zkds/ij6pTbja7/wA+kcsMUp7M6LVtCR3aCAmUdQuND3/870+bnevZgU6BwTBkxSGE53oxWvb4M4tssWVyJmAfF75004AnzjobSIexnI58lgfwvtw/tcsBcFbcVX+mAIcSEpTk81y+A6VLsEa4Ihrd4kGkrzYkJF2oHqui7HVfjGiNCNmMlQuSYnQuXCDqy9+gV494yTGQmDLGpDSBzdnRh6ybR3FvrMeCJNsXo5GkVOSu90Hwp3O+8H91cWegygI0DFxrBsI9ZYdBtS5YvasG7ynxxTBXtt4fzn90MPw5/re2xCLKeLt6MRKtuIJj4waosjF6cDpEjSLYxNrXEyIxbM3MupZ/KPY58JXB9H0J4GaGhpW/9AWppGWhIHB7H+CDD5x2xpeo2zKSmiaeZAUwoaI/jHsMcyA6Nibc4xCmnBZ2p7Z504TLoOQOtW/OyguE4RIMybwAScIN+dmgwCIzS2CPVqfVQChXTxdkttf2e98k05a69qJVB/XqTDNcxFUF/ehENHZCPPRolT4FAfnPLYOLouxyXNngClcSqt5n1jN+7HtZia9coex11zyBa9Bc08ql7sFROT4BDWB0XhDF4MDGtAQTd47d9Zo+oXwAHT/QgoqBVr8c4ERpygUE/Gkr2vZimcsain4RqbVT+lzCMANxu+2oPzIXavAfksr3sNyH/j+q80IC+//LL6i7/4i7sW9PTp09Xf/M3fqL/+679WoVBI9fT0qH/6p3+Sf3/mzBn1xS9+8U9+1he/+EV19uzZ/9JnkwYkPaXKNmGTDu1z8kC8aaBs3MSMExnhbwefGBNhafGzg/AS1w4ivrgliGTRTiDdwUH8/fINOVX/QFpoIEwTN07Ano+j8GirgzRH2h1rU9pq8oAsagPS47qMLATzCEKjKKz2PTahgkPYoPzj2NjWvdmizKNA5moX44ClfSQT2oNDKJJ4hfoc9NJ4CBkdxdtR5MfeXyCULAoE6SZVssWSEX/RTku1fnuDKl8PegKD9fzjOIRYNDOPwnU5Lm5MdE0xH4b94IPfbJMCqGZZVvI0IrvxOV0HQMN66RcB5Uvg2VatzMohObsGOhTmBJB6Feqzxd/efWVKRbeCcuZ+JK6irZag6RTV501aMikq3YwJinkIxYBvCgc57ZcLOxw70Ia5KTiEWfic3qTm6m+ypImiRuH2LR8KUF2AF3aAnvebT7+kCnpsQc7ooOKP4T4RaR19b5HYBpMrXdpsiTuR8RAcbFz78XnKNgLppAal5LlByfOoXZwRpzY+v6qVWbFDphPPnECfjO5v3/JJurxSoIGwSTcPQWxsHoWDGycyvikUsNkf3I9pzGagdp4rEL/StjW0D8UAC363jT9rmJcWHVPRTjx74wRS1iu+0gf+ub73zFygA0zt4oygkvXz02INXb0C64fF9sa3NivjBJyB6h9Iq5plmLwFhm015+sdeB91QUvrbeMk6HNS2HJiuAfFzp3GD7zuLxxWpc0oYplcTW2HO4cGtmyjJQ5BtN3OH0BDXrUSmiTmLRR2gvqTN2FLIGlon+PqU9ADIW9Bjy3f/fYtn9zLghsjUjzT6pMJ5Ux4p9aG1qLM4CnsAIjiTeGZuB9xHAhd+1FUlbRY6umfh1XDvLSkgRfsxe8I9Tq6LuN4RihYMvnR4mnzcFYK2aqVmMRwOkkRu38c2irjDPQztAFnQRfu0hNt3SgxAyfUZwswYB7CfeDEkfoz6iKI+Ed2OwndDXNBPyMVjnlKFNGHu/Es2DQyByp/AJSa6Da8u74E1iKLYNKiwnvw/Uub8c6SGqSUksa/bBP2PtIF79Q40lDAtT8nGRmhPlvMSUL78Jxf+Hk+QKCLCYiil2SEGkhr+dl1UzJZze93ptjRVmhvPGm8F6QWcipmXgQ92ZtGErp5BFlNvikAAC/8PF9oR/4xvEOffnIf7HcTzj30aPokjSKoPaF+hBMyT9a6a/roTeOzE0g0LyZA6dzv7NfBIdyH0s3QazAPpelmp7g58nvdvuVTRTu1Zf3+nBhLuO2cmK1wDf+/vzZl6kW6l3EuJTpJTxZAgH8c4EF0qyWOeKWbLXGrNE5kZE24DuoQ0osJmSIFhnXgrz4vOZ0lzdWbtGQSyQli5Zqcuvxuwb0G5DO87jUg/43rP2tA/vmf/1mVlpaqdevW3fXnp06dUi+//LJ6//331ZUrV5TL5VKNjY3y7+PxuMrLy/uTn5eXl6cSicSf/V2///3v1T/+4z/K/33yySdq2rRp6v/5iUc2TiZSm0fg3R3UQT2ugznZvImSm4dxIBLppSd82SZtXXkEyCRpQsbJjIzbX/pFQOhFTG1lYBNR9/oH0uCua1eimmW6SDuDUfUbH5kiCC5tRuFf0uJY3RbvQBNA61z/mC02kGK3q8WObhsNF5uvyO67bXiLnx2UbAEJPToOa14GCrKYoQsPLTSjraBaFe/AZs3sgeoVWQk94qibVJhwly1i/cAIipf8ARSZnA7lTdjij88NvrBDp3Gncb8q1wDlI0843IXC0XUZtpJu27H6NU5mVNPNThW+MQKbz04chPn9KEBoNRnZ7dhHMlFaKaU8WY3ea1vXmmVZ5clireQP2ILihfegKKRA13UAiLJ5JCvfs2ItCoeqlVhjvrilZnytG2GVe/A7apdkhHfOicXMWQnlzlmSMF62Ech7+QYcTq3f3oAx/15b6FyFHbZM3kqbUdQWPTOkjLMp9dqHbgliC3ej+CtqgxaKgtOGuSlxBGJTaB5yRJqeK1Pq9i2fHPB0JmLgpCcLBHXG17qlSKtaCY74xrc2i2Wm9+qk8qR1Hs9jE4IWFu9AgfSzX96nAsO2JNL7EpZYQNOq0jieERFyYNiWhOP8fgiUyRGnKJZBh7WLwZVmmCiReeMh0CW9j07I+8T0c2bGKp40ugAAIABJREFU5D85Bm66bh4j7UBoac9Z0KOT1TVq/ceXcTwjyHr7d9YImmke0XqWhJNVYpwATZCUioq1KJg8GUwfzEOgUo2+t0hyjvImHTEvbUkLO5yMFk7QqHsp22iJaxmzG5rKxmSPLNqJYjwwoumEmhpF221S10J9uL/1D6SF4lG3CECMeTEhxgx0ByvstOU5EE0/9MOZePc0Qs9pjycD8IVNCt3eOG3jNG9GY1Lc4fImbKHtEJSoW5SRZHfXQQTT0V2MZiXU1VDrFtmlbdqbLclcMY9mxXaYU9FoK6zAqaGoXp6VkENSsco2wtkusgtNTWEHvhvBjqKdltjCUvOS/+SYiuyyZQ2EnhpVs+umlFLKEe8fwTSvbCMKS+NERhlnoCc0TqXVnK93qOATMK2oXJ2TSVLJFkuQ9OAQ1k/NUoAeJS3awOCZIVX6/AAm4dqq2jeFCVbF2pz64S//D8xAVmbF/MA/jklL5OlhVbUyq7rfXYGsLH320eGQVrWzayaV9+qk87yvTCn3Fdgo5w84hhwy7T2ZkTyccBfuVcVaAHzr3mwBffrGiLxztK6PbrMkZNg8hrVBx8nCTsdlrnJ1TnSUj/20RAVG7tgv9X9jnE3hbMpaAqwV78CU2z+GKXlRG/Zw40RGGScyanpTUtzhPGnHoTLcZQtltHg76ongkK1m10EP+dIvAgCPtCkOaaH+GPaRkhacSQ1zU8iG0rrVgr1Yx9TCEYARG+KzKeUZvTcB+Syvew3If+P6/2tA/vCHP6gHH3xQRaPR/3Qxv/POO2ratGnqO9/5jlIKDYjf7/+T/87n86lkMvlnf8bY2NifCNunTZum8vaC7+iLW7IBBkZsdeWnpfCa3wHErnYJRtqlm7HRMl27oAcbeM3SrGMpeocLBgsNjrRLtmgXIU0lIZpV0OOImpm+St5o6fMDsJNshbMORZoMXTLOppRxLqUaX+kSbYBxJiWHAoWiTG+nLqFgL9Bk8uZdl+LCqS3scBqQvAmHRuW943tzpE3awrsff1nsMl0Hc8KJpZNUxbqcWAWG96DAnz4npe6PjuJgPJYVvcE//urLQMKPOeFOpGIwTM43BfF1cMiWDTu6DZ+nYi2oCRSSe9O4r6E+PCP3lSnV+u0NTrOyGgekcTwjeRp0g2FDxs8X6kXRSBtTpZS6PzoqDUZJi4MU+hKWSnx/ngRjBUbRiBinICakALZsIw7Lge8tUTXLdGJvWhdyWvsTGLHFUYl838CI5ihrPnDxs4NCw2AQJd1b/GO2NHVVK7OqQGe/0KY5fGMElKXHY3K4RVu1uPNIVjV8tUdMF6pXZNW8b+wGEnfUeW5uC7a47hwaYOYLGGcR9EVKoXkEKG3l6pxa9tp2mf4VdtqSCVG7GEVV5ZqcIOHFO9AgBQednJQ3PjLBUa6fUubhrLry01IEPWqKBbn8t2/5sL5jcFrzPTahjFNoBEmTrFyjM3UO5GRKU7JFuyZNoPkm75puSyVbcGj7x3APyzfkJB17xmwYSxQ9MyT6pSd/FhGtEHOFuDb/+ArqjCDjISDZwSFbMhwIJBT0gMZT8twg1qC25fWPocgwTsKyM7pVh+tpww1S5+j0ExjG33vh5/mSfVGwF40EUfmKtTlpKGLvL0DGTLejqalcjb1L0OxjcEgq6MGUIfuD+1Xg+rhMyNh4ccrm1nqD4KAtYIZ/DHSUB7/ZJvQYNpFKKdHTCMf+6iToLyuzKnxjRJmHIG4ODjmarsguWyhy90dHQZdqtWQiE2l3NHUlWxx7aO4lpGNWrs6JnsmbAnLedLNT7K5JreHewsmXGHRciyn3I3ERTBftvMMso8MJxGOmhVtP4Ng807qb0y7X/pyE23l0UU4HOm8K5wEnvmUbncKTDADXQQBt/pgOybyIDCYaB4R6bfl+3MPcetoX2W2rJ38WUQV7sd8zydwXx95fuQb3itRT0sHMY1oYrbVUrd/egPfpWkwc74p2Yj9xXYqrppIxfO4eR6dCUTutY2uWQdv44DfbVP3Le6Xhrp+fho25ZjfcvuVT/vG76Y/mYUzn9n53OSaGuzWAcSalzIcTcvYxjbxuEWhUnFbQ0js4iHOisXpC1S7JSOYWnbAa5qXVzJkJZR7Oih11/QJo1BgHULskIwJ2Wl57k9DeGWdSokvyZLEXvPGRKVb7eRP4Gf5rMbXi9W1iZc/wUN+UJZRr4yGwJIzTaRHD+xIANJtudkqocOmyeyL0z/K614D8N67/qAH5wx/+oBYvXqwikYj6zW9+85/+nH//939Xf/mXf6muXr2qlPqfUbD+owlIYUtchfpwEDfd7JRNkAhK/oDm/HagAaBnfmBEo91aEG4ezYrTy+1bPvEpL98AxPX2LZ+kR7ttbMQs1ENPjSKLQieDcxwbabdlvF+2EXzS6U1JVT8/Lah/xdqciDXpbe62c+KawwPcl7Dgw/5CvwThURdAVJg0B+9V6GJ4MRCL4uPGV7rE5ap6RdaxKB5BI0Bk37yQxO/RnF3ax1IInjfhiKcD18cly4F5D8yZ4OHCZqp+PgLV3DmH6mYe0mFdp9JIqNc84NLNoNKUbHEC7oxzKVAMdCMVHNQTlhd7xcUmshu/r6TF0WyUbUQCtnE2JcJNFkHGyYzKf3JMGrKGeWkVuD6uGualRTdhHsqJ7bDrUlzVv7xXqHu1SzAyz39yDIFmcdjihrttoa7lTeKAK2mx1KxX9ijzEIrBwk7QLsxDjiVnZLet/vBrj0wFfFNYP0zkprMarXWFC78iq2Y1xOW7kpZDLQ0NDybfn6/MY86haJxEom7i+/PAre+x1bLXtsP5rMcxNWAQGJ8NQ8/Ia/ePOQ3rxZ9UKvMwkFKikuaRrCp/oR90kF4gwpWr0ZQW7LXVg99sg9hUB/wVdtiy5irX4PnTujTSjsPcF0exdmejSvGnP+ZQfszDABVm1U/Bde7xmNr41mYc3LoY88c0b1432saJjGSShHptKcajrU4oGe0uOU2782JitGu/NjPo0oXmpTj4/1qUXPzsoDTqd06mjLMpCSqM7HZ0EmyISTOaOSshAlnSL4ga0zihZAusaKc3JSVTgXSX4CCKoOrlmgaoi6rAiM48SlsyQTBOOI5cBXvx+/m5y9fnxK2MupnKNTmhsdGtrWEuaKlKKfDzB2wBicrXQ5Bd2uw48NF2m5S4xsqYcl2Kw5HoESRSi15n2Fnrrv3Ynxg2yyY7MKotrrsdymNony1ZOsXbLQkzJXruizt7Lp8FHd3KN+Dd9D02oVz7MaXwj+mfnUYxXrwDAJTrchyi9jGdZaLFxdFtOvQ1q3UJmuZFqlpRG/IyjFOYTNFSmTQb4xQmq6TZsgA1j2RV6KlREX/PmJ3E9CYBPQXDV9ngUaN27sdVMA5otcSFrW5hRmhX5etz4uxU/wACN42TGZX3eAw5FFemlHkMlFXmYhRvRzPjfRT3iYGmZZssoYLSKt44DXDBOJcScTfd0mh7XbAX65ZaPqUUqIEZh4bF4ts8klUN89KS0yS/R+d80AXQeAh7/6xX9sh6okGD77EJTMJ6ALDcST0zzoBqNXNmAuDIGey/gVFbAJnSZu3U14fG0pN2gh2Z10RqFp04AyMAHcNdtojwGUpJeiZzTugCGNltO7lX+9G0eNKWym+7Z8P7WV73GpD/xvXnGhA2HwUFBeof/uEf/ks/5/3331fTpk1T3/jGN5RSjgj9rbfekv/mzTff/B+J0GsaYzIu5cFAtJ9ocbRVO5cMoUAhN5qCWW7owUFbEHkil0SjiXLTL9w4mRHBZ3AIGwUnIP4xFAxlmywJ83NdQkLv/Fd3qXVvtgh31Xw4IUhL4Po4kpmHbTWjEcV/xTp81uM/anBQ4KSlZjQmhRYT3WpJMBcFaG7LEeWJX/qYY19Ltxlmcsz4WrcKd8FSV4r7vdj4gk+MiTe828qJO1LZJk2FeWIMlrU6fKtqFcSoFetykvXAgs6ds0RYyPBG4yTG4OS/spisWaq9zhMojC7+pFLVLAX9yW1DxEutT34/RthiN8gJlg7HKmoDVehO+k7xDhTpSoFaRGpGqE9PH/T38Y9re8WLCbECJWoqdIZjWbE97fvuUlW1MituW9PnpNTPfnmfmjkLVrOBUayTWQ1xoa3RcYt0moIbI1L0uvbjntPxquS5QeVNWSJkpU98uMuWXJvy9Tn12oduNXNWQoLpGGD46Sf34c9OQ7NRsS6nZjXEUWA+PQyh4xVMI8yHE5LRoZQSqg6Ty5khQ+pS2SZn6hVpR4PhvTqpfI9NiFaFlILI08NwfHo4IYeyeQiNKQO76HBnXkSRGBixZR0Fh1AwEhU++sPpKIJOpVX5C/3KdSmuoltBlXEd1NaYMXDxA6NosGbXTKLgvRRHoTAIFNFt5VTjK12SqGyczKCh1o54FNHXLcqIBW7e5J9vQIraLLXq9a2YGh5CE0WDielzULQYxzPCkfemATDQrMF1UE+4tJiVzyMwCmCAwYnMIODeF221JEhtRmNS9iLe9+IdlhT5tHDO77cl22jG7KRkvjCZnKBOZDfes+a3mrHPtYFeFxjBc3RdikvIGq2HSzdbQt/0pPH5lVIqMOoUcHRFi+xCgVvQ49Af8yawL5JuVrskI1MoarUoOG6Yh7WdN2kJ7bBibQ4TCysngaQEXqpWZkV8TkEvwxKZ81C20UnF9mrXw9LN+FzGcTRPpGe5DuZUwY0R0X+YFzRdbNKSqYD/WkxoUN6kJWcY9yzXAWdyqJQC9WwD3v9QH54j6XZ5j8fgRBWDMUKk3RZrZ0/GyfaoXwDwrW5RRvmvxUA36rLFlISue9FtoB+aR+EwZR6GvbM3DfoyhdJ04fImNaVIU5w5/W+Yl1alzw/IRICGKTO+1g3g5UJSmsPK1Y6jExsz80hWGiq+Fw1zU6qoDVk6bgvv/p0X64CSLWjUqbUiRbXgxoiEKwYHtZZHv/N5E3iv6djnSeOsZaOQN4F3xXgorZZ8a4fyxxzKsHEyowpujKjh9x5Us+umJMiQDXDVKpzx3/no7wRsoPYstA9ARft31gB81Nk0NKIo7MC733SzU8IGS5sxBZ3VAKOLgh6cqeEbI8q8mJCMsMCwsy8Y6XsTkM/yuteA/CfX7373O/Xuu++qd999V02bNk3Ztq3effdd9fHHH6t//dd/VYsWLVJf/vKX1Xe/+927bHb/5V/+RSml1M9+9jMVi8XUt7/9bfXhhx+q5557TgWDQRWNRtW//du/ye+ZO3euikQi6o033lBvvPGGKiws/B/Z8BrpKWRr9DoJ1EyRdj8SV+Xrc3dxOs1DOfEaZ1ggCwPjJHicoT6goBQvkjNd2qyt7x5OiB+6RzvrkOJz+SflaCp0s2OcTamB7y0RN57gkENnYhBSZLct+gAGOhXstVXX369UJc8NQgiqA75KtlhSgDBzhALWyjU5OeiILiqlnN83aovnPotH4yRsTOeEh5T1QaO4ivjHICTnZIY6i3CXpjJtsaRhKtiLqYZxAmm31cuzIqYkXYFixqKdOBS8j04Ahd2NQpAIbGAU96BmKRBY/zgOS7pZuS1QfnxxbbOoKQz5/XcEIh4BukuaU/kGoMw1y7LC053elJSDVyloQMxjQEzL14POQYpEYAQuIhyv5z85piK74fxknIVNqCfrUMR8cUtCF4mcGWcQhEiP+Yq1KAgKbowIxeBOXcSdVo/MV2Eug/8aMhrMo6ApGGdS0O0sB1/YkwX670vowlF7xkd243uUr0fzVvzsoHJdjqvE9+cp/7UYULYbIypvAr/LvJhQr33oViUtaACVAr86MGyr2pf2qcIOPPff/cqA/a1Gxo1zKYh6j4KKNvzeg0BO7xAEh/pAOyrfkBNtjvEQikR3DhSx27d8IpBmOjqnHlUv9kpzEtmFRoQucZGnh9G0aF1XzTKgim3vrBMdRLgbAn1aaPtjtthSF3aiiDXOJ2XyRtokpyj1C9LSqNJa2DiX+pN9iqFvwUF8v8o1OVU/Py0OZpxa5g9gHVM/IG5kJ2ARWrHWsRL3ptCM1i3U3HhNwfQmUaCR5mQcz4jNK3VmzL8gfTBvwlbP/bxAVazLiS153aKMaAvo8Bbuwj1xW5j+0gqXE0D/GNZjuNtWa95oVYWdDqWKE8pQHyiKZRstsVZVSomtLLUlNcuyIqCeNSMuOpTjP2pQwUEIfY0TcNda9tp2MSYwLyRB3bwUlwkhgRkGiTI1vXwDmpQZs5PShEVb8TNcB3OS0cF3Mtxtiy6Lugq+b/4YmtaCHsdJMDiIvaVqFfbHyjU5sYAvabEkQDXcpQGcYYemVdqM9e9NW0I1U0qp6hWYtIT6bLXi9W0qOGir2bWg9xTtxHQl1IfJKbVB/hieMydU1OBRTB4cxFRjVv2UUBGNM1pb0IrGhc5y0a3QG/rHtDvV9XE4cmnNWskWAAc8z8xDoEMymTwwrOmC2mHKOAFaEwMZmbdjHMekgE5nd2ZDMVW+pEU7CR7ExO3O6SPNObxXJ6Hd1FOzpooYAA9NwSY1jz+nco2T/+HRwFbzW82qYW5KNHLG+aRa+Gq7uPtVrsH9WPH6NuhCnh1UC19tV2WbLDkv7o+O4nlM4f65r0yJti/cjfXuH8f9DPVpO3Adcpo/oAG1QzARCQ7hfpdttETzRQfPZa9tV95HJ1RBD84Snq9BnfkTHLJV/s57E5DP8rrXgPwn182bN/+s1mLTpk3qww8//LP/btq0aermzZtKKaV++ctfqoaGBvW//tf/Un/1V3+lvF6v6ujoUL/97W/v+j2//e1v1bp169QXvvAF9YUvfEGtW7fufxRE6O9OoMkYxaFIK0JPFqjp9KakBB+F9gH9DPVCeBnZbQsv2J0D2uJNWXL4uS1s9hXrcCAxd4KhTgU9evw5obUAG51AsdJmIIJ3WnSWbcR4lpQd1wFseoUdthxk5tGsNAbNbzWLNah5IQnR5D7HTjbaaolOghzgwk4chncKYkNPjSrzQlLNroNVMR253HZO6C3189Mq2oqCtWZZVhoLX8ISxxYKQCWvYgcOFgrnI7uAfNLesmwTkF+KLcN7nAakck1O+LEUihf06ByRrfhekXYcZDXLsqp2cUZE3dT2MCCNCKsna4lo0jgNmlvVSmzC+QMoLum05U0DHfYldBChLqyYG8DDO7pN58qknTyP8g05GWszryXaiilVuAthVvn9QNKWfGuHNDEMm1JKqcZqaHXMQ2iOmsrGQD3TIWelzbhnXC+zayeBAj8eU8FBW7W8vUk4/cZDsPGl1TDF88ZpTH6Cg/hz9yNxyaAgwk6XJfOwg6qRF+5NO6FnXE/kbbd/Z4040jCXwzifFBtZ/7WYcl1GscMAwMAwni/RePMQ1m7JFryrbhuTs/qX90o+gefKlNA+CnpA9wj16XwLzaen2YN5CH+fja55FDoVNmU1S7MicjVOweGMEx1vyhJBPCdzd+bZ3En58ibhAlTarB12ro8rbxJr4Y8v4yTMHiieDYxgDbjtnOxLZRsxfahcgyBBFiWBERTBdHKjpol5GkU78Z5UL89KFofvsQn1/Y+/hGJJB6960pbkD1AbwSkttW3Mn6DujO8PEW3jDLjxdJ8zTqdVzdKs8OmrVsEhkBoMWpzzfeJkmcGARW14n5TCVM2TtUSfVr5BUx03O5oOBol6r06q6uVoTlnI0w3NOJvC/qjfK1KxaDfLgFZO6mgxHrg+rozTaVW9HOuleDueRcFeWyiHs2t0MZvWa+T6OII0R231+1+71ZzQgEwrec+CQ9gLwt0OxS+/35b9qWQLGqHpc1IIJ3xuUBV2ahOL+WllnEkJZUkpBU3T0ayEKRpnU8q8kJQ9Or/fFqMRUutqlsK0gGYURc8MqYp1WPOFHWhuCNywcC1pAdWrdLOeco/gfCxqc9y6/DFbGmlJ3L6YELpicAgAg3kI7zsDb4ueGVJ1CzOwaddmEQPfW4IcjHFbXBSrVmZFW1S2CVMP0vSMsymZGEVbYXZxlwbkUE5yoMwjAMSYFk67Xxblvik08hXrsAeEerEXFu+w1OT78yXQtHoF9CfhGyOwrqZBzGHt0nZjRNwB6fBV0uLUENQlkdpdvMOSUE5SXGnLTUe40s0A+WbOSgiFlwJ0Tqw4kQlcH0dW1gZ897pF0ECyES3aibPF13uvAfksr3sNyOfkYgPy/Q/+t/LFnVA5crE5FpaRecrxZWd6OROgAyMoFimQrlgLhIHWjqQk+MfRuNQ/gJRV35Rj0epN4QWny8VvPv0SCvpWoFmVq+GARfpKYFgLknVwVfEOoOMlLTjsg4P4Lp6sJQeDfxxjY1qOkoYTHLQllKjl7U3CweZFp5ZQry3iTjoHLfnWDlWzFAd6eI+tzvy4RoTs0a2WCA9dB3Lq1Q89kmpN9KxyTU6mNOYRFCTFO3A4ejL4vbPrpoS/6r4ypSbfnw+hraZC0U3MPJIVvnnRTktoWSwuiOSWtFiC+BINqluonVG2WGJd6bZyYgccHMTEwpvEPS3sAPJXsgVF42M/LQE9QCc0U1Ta8vYmfLeHE1L4mUdhOVy1MquO/nC6Cnfrwn0IU4PZNZMI9DuIyUXg+rhQRMxjKCybbnaK1WxTRUxoS94UUDZvCnaV876xW+61cR60O2odPGkglJVrUMQERlFkUPsR2ocGsvXbG+AaxrT5iwlBwYvacJATWQ8O2VLckZJDvrdSCjS2rZqqoUPoIk8PO5PCp0YFvWN6uXkEYXoFPbZQOiq+0ie0AG8ShXRhB54REXM6Vd2Z90EL0sZXulTJFq1Z0CJe9yNxlfrBHCnUo1stCRXN78eh7r4ypapWQoBvnMgIxYjUTLcNET7BhNJmJ3fFOJsCt/+aRlKPIJ+HgtU/F0RYtyijGitjcDh7JK5CT40q41xKjAFqlmbFfYmoridtiXg52qqbjTbH6ELyP3SuxfB7D6rwHlute7NFLKGpJ6JxAh2LQn343+4rU6pyDaYbHq29ontd3iQQZIray9fnVN1CgAXcOwMjaBBm103BpUxbc0db8Y6/9qFbGScz6tUPPTIR8I/h+VauQYPDPYq20d4UCma68fmvxeD21mWLWJ66CTZy/GdmZHhT2inq4YRQ2MLdeNeJWgeuj4NiNIBpDQEfOrAxB4iW5ARejHOaznJ1UtU/gOLbfWUKOjo9QXFbOTUnNCCfo3SzNg3YZolDXOlmoP9Vq3IyyWoqGQN4EneAGP8YCv3ZtZNKKaWqVuXUg99sk7VdsxTp6aR7knrrTYHeOfzeg6qozZIzhxM77m2BEcfsxJdAoV27BE1W3iTuz/WfFePZ6D2ZGVvetCWhfsxxIv3SOJlRrd/eoPZ+d7kyTqVlEhUYxfvE/BMG7TFItqAHe1dkN6ywqTPc/s56rKEnoNHjJD7chf2FQBCv8B7cN0/WklwTfwy00qpVOQHLyjcARCrebonwm3k73hQK92ir42zJ5qR2Me4Rf743ZQmNy5dwdEHuK1OqcjXAKp4d1cuzanbdlATh8vzjviZW+K3OPxOgkQmvtvO/U7t27sdV0mwERrGX3GlaQxr2PRH6Z3vda0A+JxcbkKL1oDh4U7A6rVyTk9TcmqXgqub3I4SJNCUK/mqWZiVkKG9S8+j34CUvabFEeJjfr4OUevWBrilO/msxaX7oB583AbSZQW1sMGhrSfGo+8oU+NuDtqTJFrVpses+bMQUuHlT2JxLN2t7wVZLArHoPOQ6qK1fVwFFvZMOwvR2IpwzGpOC7vvilmgB6OzjjwHhzpvEZm8eho973SL4nTNVm440tBUs7IQWINQHpLromSFoP54bFIQr+MSYIJc88Nw5ZxROLm39fGys3quTavoc5G74x+FKZDyUljReT9pJFK9ekZWMAPq3M4GcUzHmUtQ/kJbcDaWUqlmWFd931wEUb3Q/oy/+mR/XwHp0QdrRzejgqXCX7WQiHMxJpgUpS0ynJr2C1p+ejPaJ10nb3qQldKbSZksMEG7f8inzQlLE8BTN+mNOpoLbygkymDehE+PX58RJKtwFvjPF/wU9mFiVNlsyNWPGhXkxodwWqIyhXgi3lVJSHNN0gZMBUkqCg9BMeDKWiNrznxxDUKV2iyMNxZ1DkVa1ClOvB7/ZJrosTxbames/KxY76uCg1i+cQAES3QoxPwtINtKcNFIImzdpybvJiRBzM5pudqol39oh/5vvKak3gWFdzGRQ2JdswXpm4KR5AVQ+dw4o+R9f4S78XfNYVlLOQ0+Nwlgibkkhx2BNFpRsDvxjuL80oqAtLMMtXQdRRFHfw0kKrVXZ5If2aa74+aRkU/ivxQCcaBckJqqTtli9HHbdo+8tgtZin62aysclRJQGFbQw9sdsMQRhiGhRm0Zep3C/SUepWwQUXCkU1uaFO5rrq9DlkLJCsIKhca5LceW6FMc+msN39I/j99cuAQ0w3I09+/Ytn2TwFO1Ec1++Pid22D/75X2wEtcmCtQ5FO/AZ/WP6QyMdqw/upExX4Vhf6E+gDfMZOB+RHc4rmHjdFo1zEuLoURgGOujeIclRSXXGtdpeA/2qPoFsHbn5y3fkBNKz+h7i7CvaGow81tIsXXtz4kzYGQ3/htOk2oXIw28amVWdIz1D6SFFlq7BPtC3UI9yTsJdL5uUUZVvdgrExLqCkP7cEYSNKBTmnkEWhfuDTwjWSiH9oG+OaseRbYvYUkj5rkyBWdJbYPtyeK8plPhH37tkXcuf8AWAC26Db+P2VbunCXJ4mUbsR/VLM0KPZfvAM+rkucGQdfd45hsGGdTIvJm4LE3jb2oqA0AWGEn8mYi7aDqzX91lziRRbeCykkDELIDqDsM9aGBKd2sc33OJ8XRsGwjKGzeFKa3VatAO+eUnc/cPJKV6WZ+P/aG2sUZFei4NwH5LK97Dcjn5GIDkteTkEOPDhrGeQTiVa+AgK1ki4OClW20RFhIelRgxBEUB0b1xqUpBBx5h2+MiPsTk1OZ0M2gMiKoAAAgAElEQVTDtvrFXhRvh4FMhfp0wBozQzqgH6CQlgUnfcpdB3DY1j+QFtoQhXz8rHd60DOJuHxDTuhclatzIpbkNb0pqaJbLRFczpidlHEwnZ2i21AI05qy9PkBcExHHFSK6Gd4jy3NVfF2FD/+GNBN0th8cb3J7gUtxDibAoKkdRGuy3EgWTdGlOtATg6UyG49Zj+JA8+8kER2hHbxMA9nVf3Le3F4dWDTrp+fhrZF88fLN+REC0J6SLgbz6J+QVqoHhQrKqXUS78IqIZ5aSnQXAeAML/9kSHOaszsYHglxe1FO7XZgJ6muXNo4srX58TByjycFd0BKU2FHbaES4VvjDjPrgt/Hhi1xejAdQBUq/L1OQmADHfbav6ru4Tn6x93tAPF21HMML2+fkFamrHgoC2OOLWLgQwzSLF6BaYFdIYraUERTx460UpfwhIhLidkeRNoXM3DOPxIVYxuA02ifkFazWhMgn6iHdlmNcTFTYc6gfwBp4FncJx5LCvJz7WLM8p1CcV03iQQ5Mo1Ofx3h2CakDeB99B9ZUqyNkqb8bmLdlqq9qV9wn9nhkOk3VYv/SIg+SFVKzG5pDCceSpBbRdKFJ0TvJd+EfiTfYpWtdSAkd/NxGVf3JK1VtDjZPwU78A74jqQE+TfPJIVl7by9Tp7RE8ujLOg69S+tA/fnVq4XWiIqV9zHciJPsE8AuT80A9nqnAX1sSK17dJdkHeJAq9vAknA6d+PuyLSbPKezwGytJq7D/c2wLDuFcM8wyMOu5lLJSKdgK1Zjq76wAmhsU70IAX9Dj7Hd0HabLgzllC5Rr43hLQTJ4ZAoiiJ8O1izPy3dnwcK0Zp9Oq+NlBEd/XLULQJScVnJhf+WmpAAhEsGkOwneehgANX+0R4bBxLqXCN0YAJlBLtAaiZGr2qCkpasMe6rocF8DLPAbdkutgTvaoyC4dyKcni5xar3p9Kybty1FEc5LFCVn9A2mxojfOpNScQJ808AV7QS9a9tp22HfrfauoDcYITRUxedbVy7Oq5Dm4tbW8vQmOTUcw/SHVmZoLujjSKpr3N78f58ZzPy8AxWgE05T8AVhrB4YBFNQuych7wOmUN63PlUOgXBfshU6J9EtenrQlk5yaZfjM5rGs5KFwwsPzI9ztnHHRbZb6vz79PyowgvPCOJcSg40Zs5PKOA/QsOIrfWLEQLe3SLutGivhAGacQP7PjNlJGHVojVR0Kz4/Q3FJHaZOkQGqBEL9Y7in5RvwTMioKOx0ptc0+sgf0JSzFdm7tKH1C/AOFm+31JcPxe41IJ/hda8B+ZxcbEC+fHRcBHbm4ayEM5Hnzpc+qL3Z858cE0pL8Q5LNh1fHON60T7owqB6hXOQh7uxKfBwy5tAccvijU1LU0VMCnQK3ed+uUMOXRF4HkChXLIFm1LNUkc0RstB8kVJpyDCWdCjhXJ2ToTQ3NTcOUc0rJSS5FcKmM0LSaE40TmLBZIv4TRXbhtFLwW35sWETD7K12MiYpxLSQNUszQrYWaN1ROqsRI2p4FR3Ltlr21X/hg4zp4MaE1uG4i8O2dJgcCckeIdTuYImz8GXFWshaicI2iif3WLgOAHhsFBbrrZKYLU+gVpCRJj8iwPruAgDur6B6CFyXsc9I/ILidUzDyUczQ9fXoiNaRdfTIWGqNWS1KFQ706yfpaDEX7lLaL1cgtEVnjXErNnIVEY7q4ufY7Qsm8CYc28eA328ClbrMk1FK4/VvxOyg0LtsEUa1xMiMUg9JmS0TNFK5XrtGuVhOa6qepMuaFpEp8f55w6JVypmnlG3JykIf3OM5QRc8MoSgfclA8fwwH8Lo3WzBxO5uCG81e3MPCDjSmMxrh709KCZPVi58dFPe50D4cuInvzxONRtPNTkc3tNtBvz1ZoJ1sGIyTGQkXbawGClqzNCvPg2YG0VZLXMK8Kfw98q1XvL5NPfjNNsmT8SZBw/BcmZKslDsvj27SZsxO3hW4SUoQQ0cju20JHburcT+TEuG7J+M4pjE8zZ2zxOjBm7Jkmlq6WT+bGyMqb1ILcM+mZG8JDiLcs2Id9g9S49yPxFX9A2gQPXoSULE2p9yPxIWaapxNIYNDZxdUroGehZbX5Lb7phyqZmS3rUJPjWJambOEUqOUEqe40s3Yg2/f8qmCHjSeBI9cl7DmPRltOa2nRjXLEBIY6nNsThm82DAvrczDmKjSACS61REfS1jgbiDvoadGxWWpahXosA3z0mIOwimq61Jcufbj30e34s+mNwGlbrrZKcg6qXXhbrwLnL4bJzOqdgn0DeahnHrh5/mgOV2dlOkeGz6m2CulQPnSIZi+Ke3Wp7UxFWuhceB7Kc3yEJrpvMdj4mRW//Je2Fsn8K7fvuUTECi6FY1H3uMx5EucSiMXyNYidJ0v4bYcxz5vSlsKazc2BgAGhxwtoDuHZxfqReHc8NUeKaqtDxodXdbjMeU6kFP3R0dV3SJM32c1xGEQoAEqmpT4r8XuOiPlndPU1tu3fCry9DCK9CtTQmX0x5xspuLtemLRgXeKkxk2KhT9k25G7QZpf8EhNEszZybQ6GqQMzioQax2WyzFjXMpmcaOvrdImtjACM6jki04z6tWZkUb1lQ2hknJ08NqzRutqnZxRprxwIitlnxrh7z/tEE2TqI2oeOYN6kd6Ppsld9+bwLyWV73GpDPycUGJLIprsLdOHzMw8g4qH6xF6hEwpKNPLrNccXxplAQ1C7JiFWlOwcqQtFOHdqk8xXC3ZiKbH9nvfiU04bSOJ1W3qSlht97EJqKEdvZ5K5BLEzagdvCQe86mJOi0j+ubUSP4XM1zIOAjRoCokUM7mIgG0fTZZtgRWgeQgPAcXRkNw4CXgwYY8JteI/29V+fk4To/CfHVN3CjAj6jeP43+5H4gg77HY8/b1XJ+UAYLha6WZLLHujrZZqfKULInFN4wrvsSXzxG3hs/umgDb6HpsQATXdr5i5wAOmZimK0tJmSzZf0sZYAN1JRzMvJkRsSAtlt51DkrgW/dFyUSnYpQriuAtIPkXYgVE0rrTfpW1iYyUOwJqlWVCmNjvOVebhLCYKL/aquoXguPMzR3ahcKI7EsPsKtaBRmecwAiduoDAsKPH8aTxM2uXZBx3rN0oaM1jWUl6J9e9Ym0Oh/qluAiMiThT6F7YgXtPu1njbEoVPTMk6KovgeJeKXjs01XG/UhcTZ+TUvNf3SVZKbNe2SMJ2i1vb1LBIVusYMvX5yR13DiVhoNVu+aOa+HnrPop5bZBySEdgQes61JcFe2E3S6Tk9mEsNExTmQk5ItFgutAThpIovehfVoXsQkoqS+BAsc4npHwUt8UipDgEJqSyC6gijXLskIVIj0z3I3m5Y8vctx9cazd0s0622LEcYmK7NJp39qS2DieAXVswha3KNfluKpekRUqUmSX40xU2GFLUV4/H9oKt5UTymZhJ/5bou50cJo5M6GMk3Cukwavz5a1HOpDcUX6afF27RikjSZ8Cd2kbHfS2oNDTiYJef7eRydkCkT9WlGbJcLh6uWwea1YhyahfgGmOsx98aYcqhopL+bhrOTEhPo0VW0X9mbuFywYa5eggfRoVykaMXAiYR7OShAtaXcFe23Z04lSs2Gm2Jx5N3dOTEkH5cSVkzdOmss3YJ8mLc11MCegC40GSP8lLatuIahqJVssmYAVdqLgNI9gqlu2CU3Iex//rZr/6i7ZV/h5zYvIJEr9YI4KDEMcz4npmR/XKO/VSdV0sxPfNWNJ3gTPB1roRnbZMpGuWQokniYu3kcnlHE+qWqWZQWAK9uERpiNmCdjqfuLhjEF1vo+0gQj7fqcasZnaJiXRl7SMUxZahdnZG2SvjijMSk6MF5FO9FEhLtsMU5outmpXAdyquvvV8oEV0I/dX6GJ4PPGdqHNTtrRlzlPzkme743iTVknAFg1DA3pZpudqri7dg7apeAOko6oe+xCWQgaddH136cwbRIJmhEnVBoH943hkhWrcwq80JSgoQjuwDwFG/XVFadARPZ5Zxnlatzas7XO4QObF7ABMZ8OIHp+pZ7Seif5XWvAfmcXGxA8tsTqn5BGumrV6acNGxNvSKydPuWTzW+0gWEZqslzjNFbdjEql7sVRVrMRr16skCBXv5T46pytUQ+oaeGoVA9nRa7Bor1sJtgg5CpZsdXjLRsNJmjO2JmpRtAme8fn5aAt+Yisqfw1E2/b+JQhGd895BhXEdzIkzT7QVKB4v8psju9F4uC4hFTbcDctGBtIZJzOSr8BJjS+ui8pTacn+oD0q+axELBl8RB6yN21JKm+oF7+bwvTbt3wQturQNTqylG/Q4+k+3aBtxuZetzAj9KD8fsdFLG8C43Mirv5xjMfpxDK7bkpVvdirSpuxFqLbHItL8wimY0opUN768blrloJjX9ip+dsamYxus8RZxnU5DuHrNkuoXuUb0CBUrMuJA5Q3qYWZJ4B6EpmuWomms2AvkGHXpTicp5JAmI1TaVU/Hw5jpc8PSLNCs4Xbt3yqbBOaPma8FHbYkqUS2e2k8Yqz0y5bHIQ4OSrsAPLoHwdK69qPNV3+Qr/wvb1XJ5XrABqQso1Yp3mTlgRWBoecsDiiz764JU5TkXagngtfbRc3l+g2S617s0XSpknNI0LvtvD+tby9Sfkem1DFzyL7wG3r9/tkBq47E7aI/8N7QHlwWznV/e4KCYAraQGtIbLLVgc+mC0WyLQ4DnfbojEiLcsXt6QpibTjfafZg+tyXAWfGEPRlbRU9gf3K+N8UnW/u+JP9qnKNWgAadPrH7NlskYuN5uX0s2WJIrzcy97bTvE+p1aRK+nB7KHadF5YBiWzqWbYcFMSkn9fGTmVKzNiRUzC8uinVg/pZvRyFesxVSldnFGTBHyBxxdVGAE076ZM1HM5k3AlMM8Bttcf8wW+1RSUPq+u1Rd+WkpKICHYd/NPbKoDe+ef8xWp35Up1wHAQAU7LVF48KQTGqdSE+iTovBrcEhaLKMU3DiqlkKpzHzKJqrki14D2lh7ElbkvjtS6CorF6Rdfj0o7pI3IW9RsL+HoIOo2JdTs16ZY80oqF9eM+MU9D5+R6bEDOIwCjWf+XqnNiRE4Dhd6NbXPXyrIAKkXa8F5w++uL4nDNmJ0WnEurF1Jc6yPx+CMsP/XCmyu/Xk1TtmlWtz7iyjQDbZsxOqmirJQUrz6BwN0Ah84izz7ntnNDXGH7Hotc3hWl2YES7CHbYkj1hnEDAqTeFd8m1H01f7WJ8b98UGjjSvlz7c9LgRHZpauckphTGyYx64ef5or0hiBYYxRnMi5bG05uSAiBVrULDWLE2J6YHBT0OFTq6zZLcpvAe7PuSr6LdyCjC57rwXp1EM3wxIUJ1sfU/msX90prRkhadw3V1UhpZUiDJeqCJgOugbvy0Nosuav6Ytp0fw9lUsQ7NbMPclJrVEJfQ0QMfzIbRw/GMmMOUbEEj/nf3ckA+0+teA/I5udiA1E0fA8KQxAZRuhmIkXEuhdHmI3HRatQsQwFb2Kn//OlhFDTnk4JIuA5AwEmtR3AIBxEpJkwfvvmhT2wsiRzSHpdNDkMFyV1l8Vy+Hki3f1wfrmM45Oi0wimFiNDOpmQikj+gbTM7NI/7GCw4yd0lVWtWQ1zuVc0ycOGnNyWVf0wnM2trWf+4Pui1PiRvwpYcCCKpRW2WOA0V3BhRMxqTgrTTOrRsk0aNH5tQeROYCvgSKD7JlzdOpyWErXSz4zLDiQr1L+aFpKpbmJEkYFppMvXZbeVEX+A64PjrM6gtvx9omTeli8hj2bsoA3kT+vk8Eleugzi4iG6Xb8iJG03tS/uU6wAO9sAoDrRzP64SsWbZRmz+5JQTjSea58k6jQYF5cFB/DkPENLefFNoXAo7bcmkCIygSDXOpZRHO7HlD6CooLCbSHdgGE0JUTxSBwt6MBHyJbSu4CDc2IrarLs41+Q8P/3zMCw1taMZBfOcqJlH4e5FnRSpDcaJjHDKjdMwCZjz9Q5JImZqL++P62BOwgpJ92PBRDEr6VLm0awUKuFuNGz+GNzFwt22UK2MkxkR7LutnEp8fx6aqPNJQVFLN0NbUbkaU5Y5X+9QxpmUqlgLgMGT1VkyuqiuXp4VG0smRB/64UyhgtFimjS2P75I2+HPKt6OZqh0M/as2pf2wXhAF+a0hKVwnUnj0W2aHnM6LSYLxTt08zHi/LN5BLoVJrDnTdhC1ZOi/ulhiJOvTAlPPziIKQmd6oxzKaEDlm52GtySFhRlfDaeDIpy9yNxNb0pCbolKYGtlhTk5mFk1rjtnFC9irejsL59yyduZObhrITn0biBuqxoKwpO5vTQlSgwjM/FdcepKamjfEbl63OCsvvH8YyJtpdvgItbYzXWEadrbgv3pHo5mgPXAejsONVlwCnzphq+2gO9knakI82HEx/u4cy14RS9aCf2Cm/SkkajenlWQC+lkJcyozEpjaE3ZYkukBq5qlU51XSzUzW+0qWabnaqUB/WRVGbpdreWQeARhfh5iG8a0VteCdCvXgGK17fpgIjmB6EnhpFTtTXOzD11q5j299Zrwo70fzQ6a+oDbRl4zjohbVLMiowirOAAYOFnTi/Et+fp8o24Z3yZPD3uJaKdoKh8OA329T2d9ZDl6UpYdUv9oqDFcNLa5dkxE5d9qgDeh9ZifXhuhwX8X1gFPfsd78yYOjS79DHZtdNIbRws6PzIa2bE3ZaBRe14V12X8HUlva4tM+ufrFX+aZAL/Q9NgEtzEJMt5ltQupo+QYABJzW0Txk+hxMo2uWYr1UrcL3LtuIPZeTKLpaGicyTlbSSgBp/msxodgGuu5RsD7L614D8jm52ICULptSMxqRP1DYaYtvuXE+KXZ1kd0oUmZ8rVscOkL70JAQ6bx9y6fcjwBFKGmxRITLw5S+9bdv+dT2d9YLlah4h+OIQk1F7P0FEEwfA8JunIWHfs0y/PPMWeCLlmyxhGZT0IONuXoFig6mI5MTTSvKwk40P2y68gdssZtk8rTxEDjcvCrX5IQ7Sq/w+gdQMNctysBfXttWFnbYYr3KZFvfYxgfk0JVsQ7/P9KO6QNRW/LAaffrTYJS4706qbyPToCf3Y5Di77s5etx8BNVun3LJyhg/gB4s9FWS+hFHDszAZmp7Q3z0jK1aHylS6hq+f1Axws7bAlHq12SkZAxImeRXbYUDtXLs+LHzqC52bWT4pJlnIaWhIU9LUEj7Y7DU/EO/efahrZ4h9aLLM+q4BNjqnpFVq15o1VsK43TKEo9WccRh3ajoX2g51gfNEIAuQ7NIxPq2RBF2jVavT+HgjumnbayQDVDvSjezWM4sLyPTqAYPY77weBHTxb5LR9/cp8qf6FfLXy1XShY/M7uK1PKOJ8Up6Lbt3yq4as9at43dqvAMCZ2tYszcGvTybzmUSSyE2GkXSVdZcyj0F1c/1kxkO9TaYSr7XPC90gP4aFqPpwQLYLrAKYNlatRzJB6Gd2GNVz+Qj/u77ODkulATZF5BNM3d84SmlnVKoATRTsd152yjZg4Hv9Rg+hvSKMq6PnTBmT0vUXSiPnHsedUL8+qmbMSkjHDBGy6q3GKxoA8AigsfKKtmCaRqkHnJWZuEJ2mAQGzLAIjAAx8CWQcMNeodklGuS7HRQzN0LXy9Qj95CTQOAGnJAIFTOH2pixJF2ehRvoabbCpaQoO2gIw8N3Lm0AWRMFefJ+SFrgwUeBfuRr7TWmzJY18xTo00hXrUKhVr8D+UL08q2Y0ohEq3QwQqWFeGiJ8PTGZMTupQn2OAJxF8/Z31kuWCBuB6uVZVXBjRMwHJHhQ25rSYjZv0hKNDq1VKRInUs7mu3KNzj1JOdlN0VZQJknlIrDFPBGlMAGJtDu5N0xMp9bQkwE9kYJ8t4194NAPZwLU6sI+wmYlMIzPTSE2m5pIuxOGyylRyRboXGqWZsXOuKQFZw11B/5xWzR0bisnoYwMiyWgV9LipJ6Tapb/JCZptIun8JxuWAxOLG3Gd+YUoPyFftgan3Em/jR+ME6nAahNWpLxQqCqYi3WD5kS5iFtjz+KZ1TQg7VtnE+iSdIOWqF9aGhnzsR+1lQRU4UdtuiTqHki5Zb6IRp+EDiL7LJlGmkeycr68qbx+d7+yJDJMmsPuljWL4CTHkEaMgHotMa1S6tsUkALO2zl23evAfksr3sNyOfkYgMS3JVAoXA6jQN3HyYBtUsyYpFJznPFWsfnO/TUKFKQM0C3yRee8/UOca26fcsnAUyuA9hQKTBjyFXdooxMTSK7bHGgIQLh2g/knWFMxlmgIXQ3Mk4hHZlj+nCXLYgpbRmj20Bj4tiWDlkVa7GJ09KV1AFuvLzIAQ/vweZftxBcbeN4RjY+fwzoTOD6uHI/Ehd/dPNwVpCdUJ/OrNBi/xd+no+x79VJCb9jqFh0G2xVmcBOxLewA/ef04O6hRmxiaV9bP38tAQ3FvQ4CdlFOy01/9VdEIRq57HCTjynhnlpoarlTTrTFSbVz5idFDpDcBDNQ9kmbNi8Ryz8Q716SpZD41O62XKsQFMacd7rFEeNlTHYMuuEaFor+hIoKhjE5os7oWoFPVr0/cyQpDPzcKMlMX+HeQSFJycSs2bEVd4k1oZvCpQ60uOCQ6CyeVNA3jjlkjCxZ4bEZtI8Bh0KtTq+BBrc/AEYBlSsy8k74k2joTUvJlTbO+sgLtUUDPNoVrlzKFiN4xl5l5jZQtG+Lw6hPm2bo9sscX5jynP5BhzIRAw5aQt345lUrsmJfS8zLnxxS+3++9XiFMZJR8XanKp9aZ8qf6EfTW6/FsieSqvyF/pFM8L7l9+P+z2jEY4++U+Oqfr5abH0pCib6GfZJjTwNJeofrH3T/apop2gZfivxcSyuGCvLYGapZudn0lL1KpV0AMtfLVdBa6PC2pLDQ9R45ItluiR8gccU4SCHuwhtOnke5Lfjz/36CK/Yi32pnnf2C0ajYa5KQl4LF+fQ27J+aTsP+SbkztPoXRw0JZgShZc4T22JGCzWPJfgxi6/IV+yeDxxzClIfBRvyAt5iD5A/gc1SuyQtWJtNuC+nLvim7Deit6ZkhyR/ImIN4Nd9tCM61bhHOhpAVrj0VmcNCWdPVQr1N4l27GeqH1resAJjDF29GEB4fwHGmHWrskIwYXpFtSp1O2yVJzgv3QtvXZEvQquQ+a0soikmYCxkNppZQS+lNwUDeEp9PiCDXwvSWgX51LKeNcSho+1wFQc83DWdX33aWw79YFfrhb54BswbvL950NtTftvN/hbuzLVS/2ivW4N43JGMXwLKzzHo+h0Y1j/6tenpWJHq2D+Q4V9OC+k85Y0uJQY8NdOq/k+riqfyAtZiahXid93f1IXEwGeDHg1JPRVC8NFIS7bdH6FWhzBpopNFZPiJ115WpMeL1JNN1MeafVfd7jMclFCYzinlesBYuA65QNlEenngdGbLm3BEVKWnRtcTAnOTKlzw/IhNGXQAPfMA/0UeYmla/PyTOcOSsBa29t4VvYqS299RSkqSIG8EVr/iIb72lAPsvrXgPyObnYgNTOHFPf+ejvgJIfyQraxnwD8sN9CRTT5Kif+lGdmveN3cIBpYg7MILMA9qV+sewMfhjeMEppuVmSyqGN2kJp948nBURNQPjapZBW0CuLF1HiKIRhWPSdPkGUH9qlmUFWfRkcaAERkGFKttoSXo3E2kju1CANsxLy70i3YkTBE5+Sp8fUPlPjt1VEFNbMr0piU0wbskBXvViL9LE251AqapV+B7GqbRoCPzjOLyYK8G0d18cXOH6BWkRt0pCuHb68Y9pL/R9+s+1eNM/hoOKGS7mxYRqfqtZmgUW6JWrc2rNG61yv+hsFNqnXby2a52N1paQh060ldoA82hWuNl5E3oacwIBWyte36ZCfbaI0slpplDTPAyNiTflFKslW8DNL96OAqBhXlqSlJmzwcmYeSEpORE1yzAVCPXpgMEpHPqeLA7AcDeKkbxJHJbmMfDYSW8wzqaUP+YEWZY2Axk3D2FywgwR4zT0GsFBW3Ik6HVvnE3JfWJWDJ3TOJGR4MBzKaGG5fejGAkM477WLQI9gPbYRTsx3eO76r4yBVriiYyk3Pvi+F7GiYy4uZU8N6iMU2nJX/AmsSZnNCYFYaxfkMZkQGfLuC7HHYekR5EWPmM2clVYlOX349Av7IBWhFNKNjXmITQ4xc8OgkKh6U31C9KSnP3HFymcoV5bNAMUQzPAlJMLuuCQhmacS6lVr28Vqkz+ABrnaKvOdTibEk45mxnX5bia1RBXnqxTvNc/gCbAPJaVgtsXRwFUvQJCV2a5UP/G8E3anRLZ9yUsyVko2GvLxKD0+QGZnpY2WxLqRtF1081OAXNYOEbaHXvZ8g0IDzTOQzRbsQ5TW4YmBnUmhetATo2+t0gcmRg4V9oMxy+xK93quI8FRm3JLyKtNdSLKTkBmHCX43DIhGv+DNKnAqP43pxSsNmO7LLlTKhcnZOfX9Bji1Calsm+OCbgxTssmeCE9uFeNsyD+J6FpHE8IwCUUkqVr0cQoXE6LY5WnJTMemWPNPOkwfrHnTBLakqK2pzJR3DQlukrc3RoZ873iM6MroM5saunVXv18qykuVevACjltnKSWUNtA5uRcJet6l/eqzwZbT1/MaHav7NG1h51c5wUhHoxUalYi/vhugTNVMkW/B63BT2Lb8pSn35yn7xz5gWwH0o3W5JsX7wDf4cTfzFU2O9MfSvW5oR+WdiJM7ZqJUCammUAFUlFLN5hyWSfOiDzKM4wujxyfZZvyKk5gT6hiJsXkkI3pBA+1Iv1R/BOqMPacr312xsg9rcAHAWGNf1YU5v5TEkR82Rw/902Gvb8fjw7z8i9BuSzvO41IJ+Tiw1IoCOhjDMpmYJQ+BXahw04cH1cJhbhPU42RGkzCosZX+sG7cLKSTNCa8Hi7VaI1RoAACAASURBVKA6EOULDKNQGH1vEYSnxzMidi7suLtgDneBJxsYttUbH5lAqg9gI5775Q5lXkgq79VJVbEO3M9oq5MXEW1FUWScS8Gp5iyQ7MIOFFmRXSimSzdrEe2NEbXq9a2SyuqbcgSeSimM+vts+fl5k04I09sfGcID901ZdyWdk0ZUttGSMTPH1AU9On/jdFrG9XR28mQt4YgzpI2hat70HeP74zj0apdkBLEkj5/Fc8U6NGYMg6pegSaO1BlOa4jgejJOIF5hhx5LjzruU1WrcmK7POuVPWJxaT6cULdv+WTcf/uWT+wsaSlL2g4LJuNMSg7KFa9vE0SN4vTt76yX0Ky6hWguKQpnseK2c0Ilq1yTE+qEJ6PD3cadotg/roPXRuH09vEn9yn3lSnluhyXkEc2L5HduJe/+fRLynUAaDrRcbp1+a/FlHEa/H1yiIt34EDr++5SacoCo05h7bqE3+W2dDGuk4mDQ2gENr61+a6pmn/MsawO3xhR3e+uwD1sdwoK81hW7l2kHd+DTm3Fzw6Ks1rVSjRXy17bLtQT1+W4Snx/Hg7oIUw2S1pQPGV/cL9yHcyJK07D3JRQEJnC3DAPlK9QHyZtxgl9z/Y7z4Ue/3RkktTol/bB4lNnZfw5DYh5DIgo7TdZsPmmUPAUbwcCyvC44h1ALUubUeyUNmPSMn1OStKpA6OOwxSbqoa5KWmmuIZpVnHlp6WqZllWsghohEFXpYq1KCBv3/Kp3//aLUVU6KlRse/2aGpI3cKM6OOMk+D4F+/A5IH5JtFteCcCoyjMmHxdttGSZHfjdFrWVds76yR9Otxti/Yk3GULOswsivINaMCCT4wpT8ZSTSVjSIff49hjV67OSRihN6W1T5fiyqMR/erl0GVVrcqJvSsLX9Jh2Fz7Y9j7y9fnZF8p24TC1nUQk3ZSppjanj9giyVrfr8tGhbjobRMx8vX5yRDxTiVlkKYmkFODqnfUEoJpYoABENRS58fQJN+HhQpmnp0v7tCuS1MFX0JbaZxPimNAYtz5tHkTYKeysBXf8wJTlzzRqvksZBKSyG4eQjNsH8ce5T1QaMyTkDDV70i6xjDnEpLWKg3ica76WanCnfZkuJd0uI05NYHjULX9I9hf8nvx2f7/a/dQl0rbcZ5w4vUN+MktCjM3fDFLcn74uSpeIclAA7NVHxTWJ/U6lDXQWpZ6fMDqC+uxSSriS5y0Vaca7NmxJV/zAm3JAhYviEnoJtxPqk+/OQ+R8cTt1TX36/E37sxIkCZULbanXN6+hxQWV/4eb5k3TAjh81HQQ+a2N98+iXRuFTOn7jXgHyG170G5HNy3ZmEHt5ji7e+NwV03PvohKpYC2SWKEakHYgl02mj27QFXisO7J/88j7lOoDNis40bjsn/y1HpkU7sWE1vtIlugwibBQF0/3EPw6OtXkMo976+Wkp7ue/uktoI6E+HLD5/dj0fFOWFOS+BBqh0D5bXf5JuVhPEg0v7NQ5FUdBF2r/zhplnMjIvTKPZXE/NFLtyVrC0/Zfiynz4QQyOXQ2hXlIfwdNw2q62XmXCLT42UHxxacokZsobS/ZxOX3g7NMelO4C8V84Pq4ZGr4r8XUjNlJ8dUv2+jQEYwTGWUcz0iWC92X8iZ0xsa4LTSY4JCekrQB2S3aiWaE2Qu+BKZkfd9dKmJvt+XkgNDOkd8/3IVDL28CCG/xDkst+dYOIKPaQYn8YvrdE+2++aEPjWMW0zbXgZxMtXwJHJoffnKfKt5hia6kdDO+u3EyI1qamTMTUgwFB7XpwIK08j46oWqWZYXnbhxHYWgewfeO7LaFklW/IK3cFqYBpLWQN1+8A9Mu32MTQFB1Iec6gOboN59+Cev0DhteUtACo07WBw0BzCNZmeqQC1+5BhoRap3okGacQvBj5OlhoS7cvuVT/nH8HW/SUr/7lYEJVp+DLDZ8tUcZD6VhXrAM33fO1zuAENqwiXYdzEnT5pvC7234ao8yLyaUcUpT/DZhrXu1Xouhb+E9tlDFCvbinleu1kXW2B3iU523Q3ExncLuvPjd3RYa33CXLe9MZLdjd12zzEkzXvhqu6Q4B0Zs0XoxpZ7vVcPclGqYm5JJmz+m8050cxbuQkFSuSYnluDVL/bKHuSbslTs/QVCZ2LYHJHc4u14jxgIaD6cgHZLU8T4DpHCGtnt2A2H9+C7Mc+F4YDUC3AaqZSS9Hn/GBpsFsgUlZdtsu5ydQuMYH013exEJo7WctEdyjySlfyPcLctrnzhLtBlfFOWBAsGRrURgg5aDQzjHHHntJPWlSlpDqOtluxRTFb3x5xpjidjiRakoEeH4+rpq3EiI/dpybd2SLPCTI3CDqxParnCe/Q90FMWpRTu39kUdBJsjuP4+94kdDE8CxlE578GjULNUjzHsk2O8Qjzgg58MFumV6Q9ug7oQEWt46C5ifuRuFAifQlL6IeerCXubg3z0niPx2DtTZ1J2SZL7ln+k2OicXMdwOdngCJNQPxj2kZY62TutNSvfyCN/fwQPmPepAO4rXh9m5pVPyXTUl/CEmE3dU6+KT156HMm6EFtk1y9IitaKFKja5cgyNKTQX1RvRz6RTbH1CYFro9LmCj1jgzQZOaQfwz3nxPfUK8tYaJlG7Xm8lJcLLHL1wNcNY9khe4abdXN+DaH4rfw1XZQvLY6dFLPlSnlvxYDjevpYfXlA/cakM/yuteAfE4uSUK/BGEpXYkqVwNdlPC8o1kp0GfXwk7VOAWRNkO9IruBBvrieLGL2pxJRGifLehgYFRbrWYd8agvrrUSh2C9yvGtaz+QV+/VSRFAF+/QVpD6kDROgVMb6rMl4E1oO7qINI8i1ZRaAgYFlm9AoRVpR4F0+SflwsX2j9t3ifJIJyLSTDE5bU99j03IyNg8qr/rCA5iilcZNsUGLDiIBoB2mrx3nDaVtIDCUbtYT3fiONCnN+lGo9USMWb1iqyaVT8lgjuilkwLD3fhcPSP2cLjZgJscBBFhSdrCZ8/MKx1PnqEz8Mub0LTAaYsmQLdH4XDTOipUTkQ73QDK9qJ+0JqVWQXRuXMKGDzmTdpCQrK4DrflCWOPYERhN8x9dc4A2MC82ICKfW70AxxssN06du3fKp2cUZCGZmGXPr8AGh3OrWchaCESl6ZAv0vAwTdtR/c9XCXdqG6FFfBQVt9+Ml9MhWhjWNkN+6tW9taR1shElVKieDZOJ2WtV62UXPaNXpI6p5/HAVU5Olh5ToAa9yapU7woX/MERibFxMSgMmimvaotK2MbnXoZ8EhFDfZH9yvAsM6GHNhRjRLt2/51LkfVwnnm65P3kcnVOWanLwTFWtz6vJPyuEU90hcVXylT4TebLDMw1nosMYdBzo+I/+4dlXbhvX6x5dxPIPm5QQyAm7f8injREY1vtKlXJfjKn8A7mpsMphbwv2pYi2a1uhW/HxOboyTGUFD3TkUn/x8oV68E9R85T2OEEI2MdSIlW8A1537X3QbENj6+WkpOgka5PfjZ/kSliQysymvn4+9ltPT8B4U0wV78d3q56fxebqcSSJ1ZEopoYFx/2OIrH8Me290myWBoKQ2BUbxzKlPYRZRSYsGTvT0lk0ppx9FbZieMMum9PkBVbbREiS8sNMW+q3bAvh0+5YPmRrNeA4stN05S95LTt5rl2TEAplngutyXDJ8mEnjyToNWfkGJKeH9ml9Qg/sp8s35MTuWCloG9hM1S7OIHhzl6OR8qbxrEta8N1ZPLvtnFDmolstObPcFqa4DfPgxMWplD8G0KhmKSi19QvSsu/NCfZDcK1F2dS6vf2RoYzTaTFnKezUGVDnkwKumYfhTnX7lk/cCvk5AqPYezxZ/HPtYkwRfFOWBLUWPTMEvY8+O8J7sP7LN+D78aIzYWkzHL3cFpwazSOY+tJlrXYJgJ7SZkum37Rap6g80m4LHTi/39HH+BI4z7xJTCMC18dF++MfwxnCSRopyGWb7tD5XB+XKQjXCtkFxc8OAtR7ckwAC9rXV6zNSQ4YHRvpiMlGrfGVLuWbstRvPv2Sml07KdS84h2WCj+6914D8hle9xqQz8klLlgrpoRPSgHjzFlA6ojAhbvv8C7X3PjKNTkRkRsnUODVLULWBA9RBvuEu2yxbaTw1m3n5GCsWYqmorDDQfRrF2dgKXsYSAmDj9w5bNgUV1OQR4cW2qGyIeLYnummxrmU2DGSDkAbQqbsHv9Rg4rsdjZk40wKI3CtMQkM22LrWrUSfFHjZEZQxFAfAuioASjbaIk487Gflsiol6nr0a2WZClw9EvfdNdlpBlzhB3Z5aTIMqeFG2pg1LEMLV/v0FRCvWjQql7sFRSvtBmNS8kWJytFqFMMLttji+uZfxzoMHUHbFqJwhZ22BIo1v3uCskDCe1DI8Z73zA3BZqQFiv6Epa46Rin0+L/zlwH43Ra9DVvf2Tg2d8YAV3qmGNSQO5vw7y0FF/lG3Kq5LlB1VgNQTbRenLUmTRsPpxA4rtuiGnVXLsY68I4js+f93gMlKQ2FGp5k04YJfMUGL5GxDy61dFRKaVU8Q44wPgSlvCQPRknW8Y8nJVD1TiJ3Ik1b7SKoULRTqxr9yOwxSxfn5PMkOLteJbmkaxkutAqmQYS0W1A7UubsTaM80nluhyXlPeCGyPiylTUZokQNH9Ao82PIFyMSLB/XPPbtVj2//7V36qZsxIIAIw57kDmEVg5k0LHlHTy6jkt++MrtM/hZucPOE415N8zbyi6FZ+1+a1mFJbttjwjUkkLemyhjxKNZ4NR0qJdlA6iwDNOZtSnurn0x7Ae6uenkRNzfVwaVyZDh/doiuSjExJ6xuRu0qbKN0A75E2ikA4Oag3M/LRoDRjKxoIvOAguvX8cn4MAS7jLFtpM3qQl+5r/WkymD0yxN49hT/am9TTniTGEkLZY6uNP7lPd764QBJuhhsyHWfNGq+Q05A9gjROFr1iLPYX5I7WLM5L5MH1OCs/8ypSIrMNdejJoIfiVjlAlLdqAQTu8FfSARmichRjce3VSVXylT8CF6uVZ0Hh68fPq5yNtvXo5vjPNLsJ7bDUn2K9mzsK75x+zpQgv2onmyXUpDvfGLuxv/pgtuqjKNTmxdXcdzIlLV+lmS4r30D5b3tv5r+4CzZTia236wKkILdEj7fj91geNaGo1lbZ8PXQh/hjOl/x+THDDXY7Ve0EPCuvQPoe+xUa8YW4KFKVRrFU2D8PvPYj3VtMPaWTCort2ceYu23nzQlKAq5mzEjBd0A12tNWS7KLaJRlV8twgzok+W4I6Oa0mTbH2pX0wF9Ap8HkTtkwjGuZhErP3u8uV9UEjTG00AONLWKJdC+8BrSr/yTFV2Gmr2TWT0JYszaqaZVn5jAtfbZe8mXC3E5bKgNy8x2Mwksg4TIxIuy26G2p2SKsO77GFEh18Yky1vbrkXgPyGV73GpDPycUGxEhOQU9wLiVWlKRdlG7GoUWqCX3lCzvRNIT3oMDgaLhqVU4KBgplqUOgODkwaouWY+Gr7Shmta6BRVdBDzZFIsMMzzKPgno0u25KVazDz3jtQ7cK9drq00/uk9yQop2WBFMFB7GJ0jrQkwUqzARe0hUq1ubk4HJboEjwKl8P9I1CeSZd1yzLihCuYC+82atXZAXJb5iXVo2vdOEgWp2TgCmhAx2BmJ2iciKEzBCpW4TC1z+mBb7xO7Ic+pyAqPuj8Jov7NQhb1rYzKaPjl/k7hd2Ogdc3uMxZV5IqoZ5oBlV6yaFqB1H+BRJl7ToDTvmCKiVQpPG9F4WWKSymEeykitCq9BZDaAisHmgPoAam3/81ZdVQQ/WmetATvkem1AD31uiXPv1pCvp8JFdB3LiGsSk8oav9gji5tqfk1Thop3QRbAY9yXgYlT87KAyLySV8f+x9+Y/ctV3uv+/ATPJqbWruqurq7t6393eMMbY4H3f7V5st91u9+7eu2s/53gB23g3BmN2MGDAhCUxgQxZSIaQQJgQQkJijXR1r0YjfXU1kvX+/vB8nvcxyf0dCbmkSDMJ2LWc8znv5Xlezzl8bhrxKzpRqETHoAlnLgJldcy9iPVjcuY/YitaNjaI4oTNuoioUZPUnnktkKj4nkD6ddl+V+6rGJPYoJmAns7rpDXRbahVz05L4OoskM5vDgJvOegqmtR/JQX5mCHRrf/ZLgnYjlz/slSCBYTzWedyGghpnc8iOLHXC+9sWFXQcMRFP96vuSb+KylZWDslkeenNBug+MUJNEhTXhEeTqPxWvvhbiVXle8xeSPnQEWiPJCEsTOfN//TOUU6mW4V7vApjX7ykEz99kFFddavtfU65PaVGRWETJS/ehjErVUgnTHxPTLhqrSEBu3WxRhwcOLO6Ss9YmywmdVA2VvAdhRFThljwMEZUrfe1ikxza80gbNIp7SSSe9lB7xMktAz09K8NK9oXxGRYAGNV/VWXIvWOfgO4geN2TeDKT6JWmy8G1ZhIJTYizOl4caA+lYiE/guWhfnNLCTXiXdKo96xKDEXhM++NKEau35eeY3z2J7Y2h9zUvz4nsiLeV78Oc3PYztFvNAKjocbfIikyimo2Oe8TucwvOFwxc+r8r3IJyzarujv23VdgAuREQ9BhUdkM42L80ryZAEurnz0poZVTRtzr+XxzXxPvL8lNSvweev2QQKWNU2bFLpdWBh6z9iqw+saNoU/ubctC5mxTqdl9b7s7rtL702hmeKOYdIEhv/ZBmM7gaNT2kgt6f870I573cqGXZ1U9n0MDxICxqm0SyYJHqSz6LjKO75CtiOei04FGSmi3UW11XLAzn1lfiP2vpe628MaBglm3L6t+iTCbi2AmValuQ0JJZhjwTLMACS5nOFABgJYXTUSDwfKUjFayO4v9bhfG1YVdDg0OgLk1L1+jAkYpuwXeI2MrnLUdQ7iXm+J9ISvDorsZfHpW49muuF7x2Q+Y0zEhy5i+H9Ll93G5DvyYsNSHggjXCjMTyYVn7QoYVP+R5HJR7cMhR+dx/WuLsN8s+k486dmxbrIqZ5tRsMXeJ8VurXQP9ducP5FsWJD/LoGIo0msat05ABsZj0ncB0IzbgqokwYKMZYgAY8wMSr4wqicu6mMUDfsxVPGLtRkxGq7c6Kqli4B3Xx+EUNPI1bwzpd1W7wZbQM9Ng8t+heeWE2DqT8/jrhsxSucNR+Vrs5XElqUTHzfswIWQNNwbwEOzxMjlo8GSAGzcaJUOuStIY8GWdzn+LBhYbNCjeB4CYTLbDoxDM4f00rCqo4ZGoQUqumPRN/TOlctwy+B7PYFNxLqc0Eer2uUKv6PDSuBkOR71508N5CT0zLac+b9UGgpsYUl84mSsZctUMSHkNyTpl+13NZGAIFSVfDasLSiNj/gob5rYFGUz8DQ4ymIc0qmjawxEHc5jGLaycAIkrg0Ki9s1BXI8nsaGwTmP6V9rnanMeuDqrEi1iK/1PpqT+xoBO9/3HbMWGshmN9eP78Z1EfkpkAt+/70RBip6bUj9F3XpbaTT8/2MDaAAabgyI7zIyPaxzOWya9nmSNmb0FH53H+hpL0xKxWsj0vRwXhsV+nDiva5iOznVTexDKvf6n+2SZLvXjEdfmJToOL57Um22fbQNXgpDcaOkkGnKkQlMlH3HURS3PJBT+MA/vjhEYDFXuxG/AVGv3Lw1riyoYd73BKa21oWs+E4WZH7zrOrcQ1lHsw1YkIZyjhaUjSsL6g+jNLBuva0bzsodXsAqNwX1axCMZl3MaiFaNIPGiUU7QwUrXhvRQE9O+otHPH8KNz30XiX2oqFgw7zwvQMIkRv0/FfW+awOSFS6moF8dfWH7UoMa14GPbz/Sgq0wctAsEemDMTBBAzSFxXKwStQdsCjv3EDuqioHxvQTjRn9Wsx8a7dYCsNb17LrKbG06PQuBLF3vKfduo2jIhhBmzWvDGEpu2plFRv8QiEvhMFNaiT1FQ84oWGHv9srm5qw7OGArXEy3QqGfICais6IG/q+XiNeqMik/CX8Myp3uoNwEh4W/1hu9SvRb6L79GCQhBoRE+2o2gOuMD3BmxH/RzBq7NS/uph+eNf7tGhDANY5zfNSMCxVSJXvxbDonDKkfvKR7H1PYzBFFHOTQ/n9c+gDJM+maIZx8vk6PM2tPwt69fauuXgJp0v+ghJz4r34rtP7nIULsOcnPo1Bal5Y0g9R75H4GGzLmXk9q2wFE3DWzF3bhqgAOMb/F/f/Auoh3vNUMFIxyjhpieIhvqy/V6GTHQU50C8x8NEJ9vxPd/8KqhDo/Cso+dzw6qCbt+JYyfinvdiYq93/SZ34fcv74KUNuDgvrmL4f1uX3cbkO/Jiw1I9XIYToumUZjzEPU9ntEE83gvDrTSPugrm97qF98TaWjTj9ma7K1aeMO4r97qTaial0GmVb0VU6o5C/HvVO7AYXb7VlgnT3zYMuxq7ty01K2DjIRTLx46JUPmEBvE381pMCdI1Ldap/OagFrR4XipwGZl7b+SAs50uyeb4SucNmby6gn9c27fCot1Clsarnk5YafmlZPA+jUFlVqxuGheBrxuRYejD0b6PsoOeMmy1mN5DdCq3uLI+p/tUvO87/GMVLw2gmlrr6tBZUz19j2RltqNeBCW7Xd18lS9FStoegVCWWiSz3zerJ+LCb1V2x2d3Fmn89iM7DUG91N5eeXLuIiILIqBbBKedZQwRNlcMI+HWfwgpG80GjJTpG4dftfEK6Mgb5mHv+9yWip3YlvCQqVxBZq6tgUZaVxZUDJb69uHJJhHU2NdyqjRm4jYufPS8A5dxtSNaefE24ZTmDYziDKUwe/tP2YDfWmai5o3hlDkGnkMyTKUIvmPQGZAsEB03GsKRUQzHZK7QRFjyFjXLzeikJ/x0NCNKwtafFqXMsjFMYnLjSsQDMbpZ3QMU0ya10NZR+4rG8V0fiWKhzuJYSwU/ufvQQmnEAwYfWFSen+9Wk3mJNcxlNF3OY1p7DmkFwdzZlNiqFKhnKO5PsGrs2qIpjSS/3+iG7/Zjp9vhfzM4EMD9j9LsLhlq92A5qtmE4q9yBSaZZrui0dc3V4RQ0yvC/ODoi9MavGysHZKm7XYgKu5GSw+EntNE0JP2wlcK/PaUvqbMum5aTnONt8Jcx0anxLzLYiELR7BtcbmpPgwiq/IBKQ2Adtcv2cRUlh8GPKrgI1pd8sSbDY4aGheaib7Rm5SudPRUEnKhZjJtKh4SBvz0U8ektJDrpz5vBnN+4zj3fOmOS4ecTX4tWqbR31bWD0hpYfwd4WyJjvEbAQplQmnHaUo8r1yuBGeRXMUHYMpn79vbADXbOvinGbkxF4eB6rYmKqH/305aEjDeG/qdTsL2XBpH4p861xOEeDz3j2ocloa5Uv7MCzg79i6GEAGlfoNYcsYyiIIlvev77itiOPQM9MSemZatzI0Lpd34Z6kxKv4MDxHlAzT70jgBf1kvsczStS6MxCvYXVBEdXRcVe9HqGcd02W7TdZIC5QzJU7cd0WPTclpX3IniIUofTaGLbvl9N6dpJ8xld03NsuhHJe0KL1GCR21sWsNiK+Rwq6CUm2A3secGxZ++FuKb02pj6QkiF4zgK2o+ef72RBZWPFh70NV8NqSKYDNoaBDMFkg0DZK4NPG1dicBNOYwPDjCM+expXFFRGGsp58sHIhKv0P/pD6JlrXQyfWPjZaVVbRJ6fkuS6uw3Id/m624B8T15sQH5wfArYvV5oOotmDGnpuK2SprL9psgznHXfiYJOHBigF8ri3wunYOiseA3a0IYbA3iAm2lR87K80iyioziUk+1eSjNNhpRFMWOExj1qv0MmG6Ro2pWr/1GlD83Sa2MwuR4yU8cLWYmO4QFfPIJJc2TK+9+rt+LgrN5iTLqGqhGe9YqhxhUFlXXVbrCVkkLKFKftnOAE846iX0NZL4WVbPnI81PKHS8Z9hooyqZIBrnyRY0GJ5LSU9Hh6ASHDxpiBFlwWGdzGlSX/nSxhHJ3BKzl8Ltxsjj4mxUSmfS8MCVDrqI8mfZet86WwFMplaZFx/HZ+cAQEZ04MnSS+mh+/h0/3wppy9VZNXVSxvHp1/+i0/3KnSY0cpujmS6UvzCxdvWH7VK9BdK1sv2eJ6Z+DUyNZQeMnGTANKVPpdQj0febVUhx7zIBVlOuaslLD2GiFh1zNWOl6LkpBJMds5VWxRyJ27fC0Pt3u0rBoXG8diOakYCLwEbfowUREQnmvWmxdSGLrYqRpqih8pHCt5j9JUNGRnYI92gw56VqR8dcDevq+XiNRMdM8JyhNYVyuDZDT89o+NnXf71Hbn4VlNo3B0EsMthiNgd162yVqQSvzqr5fvyTZTDHThtDcz9kadw8xHtd9YwFbGOiv2C2mkdMls0sNgElL03Iqc9blfIVvDor4Wen/+mcImVpYeWEhgbGBtDwsIiYOzcNTO1Wz7tCSRxpQ8UjmIRyolu+B/c8KU+3b4WleiuudSJsmx5GMzV3blo3vnPnpZGjcjan3isWagQD+E5gI0KKD++nUBZNYLwXw4RkOwrMhtU4G2ODrl5T3KTwTCGBrmw/rsmWJTlpXoYGJN5r8mLG0UCX7UejETTviYb/YN5DFMf6XfVO1K8FQp1kKw6dggVsEoJ55IFQOspGxncCdMTYwB0bLjPhZgE7Z2FG2hZkYMLfiUYlsQ/3Z9FzU5oRlGzH+VO+B98DDfQVHY56B6Pjrp5zbQsy+qxYWDmBxn0C91DtRpwlLFLvKxsVEZH6NQVpeqtf1v9sFxrrRwv6XasfxMHvHR2DGqD1/qyEnpnGxPzNQXgez4GiRwoWyWmNK7ztvHUWjVRFp6MNWWzQBKfu9p5vFR04SxpXFlSuWr3FkV2/2Cy3vrlXrDM5hZ7w3LUuZDUgmN4hTvF5HpZ34TeMjqFprtqGa5sI6cQ+V++FwFMpiUx5AzffiYL+9nXrseUoc4QY8AAAIABJREFUHnGl9s1B3GNPGb+akeKVDOPz0kPJ7XfVdgwbKf3j/V+9xVG8bsDFELBxZUGfb4GnUjCLz+L+uFNeTcJcywM5aZuPTTRzYOit+fqv98ATOYrBE7fJt2+FQfl7BsGCJMCFnp6R+EHjGdwJuWc4hUa1eVleQ313/WKzxHfdbUC+y9fdBuR78lIPyNkxTQWmXrNoGjczHzD0ZFAOQWPYnTpKZnkw2C6529GiqXlZXjWljSvg5aB0q3qro/KlgAMdbvVWUEFoFqWUpHYDjI7zm2akotPL2ghlHT2oSdtZ/7NdSgIK2EbKcBp5GE3L81K1HZsLTv80yZnSijtW0uG0o9rdxD7kF0Qm8NDkdLTlwZxy+tkoETdaeX1EajdgE1G91QTpvX0IhuchI5ExSMHIlNGpmrCmxhV4MIVnMdG69c2936KVUR7XtiADtrkpdu4ssKq2oVloXIEHBvG78R4zNTZr6aIZFBGhDK6H+c2zmosxrwWekaaH85CpDLjyqz//UPGypKkQlUqteeVObzNE4lC8x/Dh+11pe6cXPhlDRmIWi+9kQdGMTQ/ntaALOLbq99kU+E6goZ2zEGt/ptqHMh5is3yPKahzXjqx7wS8TdnfLdJJI83DRTPYUARzjoYvlrw0gdyQoyi4+36zCu/1uK3+gdAz04pnblpuNmQ3BpSCFZlCoxC/NibzG2eg7zeSqprNRl7U7yqZiGnr0VFMkEMZFKL0BFXu8BqU8Cwm0gHb0cDMpuW4Xyp3ovmzTudRJD9SkMrrI4qkDafw2/ufTOmmqGobhgmhp2fEOpWXlh/1KdL59q2wVHQ4KrPznSho9kp4FqF21hlkpDBfI/BUSt75UwQ4a0PwqdrmaC7NnehrvpgdEe/xNmUMWuMEvPX+LIYaIwbZbRqAeA+K6Kv/USXJ3TBGR56f0pyBxD5jIjdm/XgvCunyPfjt/cdsmdcyq3k4LQ/mIEs8gvyKy1/UqcckOuZq1kfcyGW4eQ3POhpIyuyRWD+2riVD3uQ33oMGgr6o8KyjIZ08f+JmI8L8EhFRGlDg6iy2LcbXQukSmxv6NAiliEzCuBx7eVwDQVk4Vm9xYPRdA9ADgxRDGXwPCiEwxCLilnn+kGgUnjWEseenNEQ02Y5rmNk+TNBO7HV1+xZOO5pqT/pVeZeXjE4Za81mW03PlNO+9McEEq832+p3ExEp70LDWLUd57kGUL4+LL7HM/o78nripJ1hhYl9rpz4bA62G9sgMS7fY54BT6QV7Vq7AUU7pZ2hjKPAknAavy1DB+vXGjDGmHdmU2rG53E4jeuq6a1+FPnncoCNTBmamIsGPpQxMI9TeZUJc/OQ2Ifnydx5aR2qUDLL34+v8i5Hm8fomPFOmjDLy1/USeOKgrz0xwSakMczauhOtuN5F8o6SqHk+cAmis+msv2uor8p/yvtcxU6QBlr0Qzub94T9OvUbsQWt/bNQSTem7OKXh2CD4JXZxFyeDmNbYZp+nhvMiS49f6sYpTLDhgSo4HDkNhWs8mWH5yYvNuAfIevuw3I9+TFBiTWkVbtcfmrh6VhlXf40YzmOwEDKhG41tmc8uSti1mdJPiveOFB9WttHOQrC9LyQA4P5ClXU4LjB402dRQTmvo1ML1Wb3E0wbZk2EyUTXp6/KBJaTc6+prNQIDeqeMsmjZyqqOgqhSP4MHGDULr/TA6Vm8x+D+jw6fkrGVJTjNM+OKkbGHlhGIp+edXbcMDu2azLXMW4VDf9YvN0GmbyUzl9REQRNodTe796q/3aBNRfBgNW2wARWZFJ94bSS4MxuLGhcQP8vs1xf7lcS0wmEcSTjuy9sPdMr9pRkJPzyh6lxkuNCz6HkVivP8Yit3I81Mg5hw2cq6TBTWkx3vwEPAfsWVeG+gpiVdGxfcIQu5KhvCbBo1Mp/SQp1n2PYJJV9kBVwuGsv1m/W0O/bIDgAqo8dn85jQsc5JGLHKi2xjb21L6/hLdmO5xQ0FEKI268R68p3f+FJE5C/Hb06gcG0BjVrYfD9B4r5dnw0wc6xS2hWykGlfAr1F6bUzlLdaZnG5H4gdxPbHAW3pzL8ALBs9ZuxFbrMtf1IG4dj4rlTsgA2t5EPdP8OosCk0XHhbrQlaTjqlPJ/K0eMTVSePFP9Qr/pcT1pJhyMliA65ijflbL2iY1i0QN3m1G0yx9PSMIkpr3xyU0mtj4n8yJXMWZXWTQA/JvHcPYqrZ6egm7+If6pGgbraTxSMeZab316v/6Zya3zSjQWmhHK5PbgFLhiDF4XSYuRwMOIv34n1aZ3IoGC9lpPbNQfnk639VYzan/8UjaD6al+UViVx2wNXNqyJ0TQHI4ER+x0ED6wi4BmP+QE6W3NwnsX5o4CNTrgIrKjq8LZ//Skpa789qkjQllNZjeYm9PO41Nca7YJ3HWRCwnW81/7xGWJQld6MR9V9J6cR99YftkD5dTivmmVJZyjBrN9jqt0nucjTY07oA7HXr4py0LchI6JlpJTKV9rlafIfTjspyuVkk7ZB+p+IR/JaJbleLRutSBo3JIwXp/nid+E4WFNBQNOPJmsKzOPvq1xS0wG35UZ9K1kIZfPeU5oZyjoalFk1jO0lJD4cRtRu9jS3JZCXD8DTFe3F+V+5AU85QzNJrY5p/UzSNBpYJ7sE8/vzWtw9pBgUpg5U7PJxx8OqsZkzRGF21HX925fUR3W5HR12VV/mfTGEQYNLcK3c6uoEMPQPaH7f59WvwHZbvcRQWUDyC98FtcfMyDOOYFi8i3mangG0OQxO5xdD8FdeWno/X6CCwYRUGI1XbMOyiMb5hFRqvtvkZDFyuzmrYZslLE0Ct73Zkx8+3al6RdSGr28mq7WhASQIkySvgYGAS78XvSoM6zfUEeZDiGU47KrGldLPsgKsbaUrgqKSg7DvW72qsQFHfXRP6d/m624B8T15sQEr2pLUQIVqPD4oTn83RJqRkyFB2np7RhzHX4U3L88om56Ql0Y1DtnInpqX+Y54vIDKFg8l6DIdf+NlpSB6WowD9n78HJTqGaXvZAVfpKHwQW2eg9S4ZwuHBnIDyLqyMG1bBuM419O1bYdW6RqbMBuD5KZiezRSQJtXajbYSiviKTBpd6tmc1K2zNVG4fg1SapknUbsB/xuzOOidoPeEkxSGHcWvjUn9WluRxfVrIW+6fSsst2+FdZpcNO1q2FjLEqz/S16a0Amu7zgmQgvfO4A0aJNMm9gH2QfNtIl9+A25oSjb76q5NjLlYUsX/6RbQ6RY/EWmPExv24KMtDyQ00mnCAgzNJXevhWWhdUTKJ56IXuzTkO6UDJkNMxZPKQqdzpS88YQNMGPw+dQMuRqUCEDJEsPuWouppSIRJzwrKNFd+PKgm5yEvtcuf5lqRRNu/LQ+106iS/f43yLphV6Zhrm6ElXV/8hgxxO7ENzSkx00XNTmsNAvDSDCV/4Y4VUXh/R4pJbId+JgiJTiw/jn29dnFM/UHIXHsbWqbxK/OrXGMpcD4zgjSsxkQ3lUKRxEkh9fuiZaYRbXh9R82zVNgAIlt7cq+81MgnNebwHDQ3RuMSsNj2c12IxlHU0dNT3RFruS47rtimx11W0MlHO0VH8RtbZnPivIE8mOm6CO18b0U1kcjcmrNaFrMrWSvu8Ju3OV2kfBiPETEemcE/Ur0WRXLMJ3y9DPVmkhjKOGux9jxRUljjz2yW6kUvsw/UfHTXZBCkUc9YZyJtozo+9PI6m81wO8sh98AiQIEb5H03eJcNe2jK18txaMBiVUsPI81MSG0BjWPjdfZp3VL0VRRe9E5QZ0nv0n9/cKyXDHoaXWTtsYKq2o/nwXYb5t3FFQT1ClFhVbzWynl34PhhEWzKEa760z5U5i6DRr1tv6/XHBjTgGD3+DLT69FXdvhWWwNVZxVaHU14mU/VWfO/c1FXudPQzz2+awTk9YDJUDNCCadqlfWZDvNnWgQLhFERnV+6EPItkuqaHIQkSgbSIzQWzQ+hxK+9y9Py2HstLYi+ohi1LYKwufnFCN/TRMVfzm0iiYop6KOPote+7nFbUNe8jbtEpLS09hE0DN79Ez1IOSWkrM08ocyVJq3lZXuV/pYfQTCXbHfnff/tXCeWwkY9MYatbs9nWJor3S/UWM1S6497zP5mSmk22zG+a0c2jZuIYc3vLEmzOy189rBsbevTuRPT7ThSk/saADtb8V1IgB5ohlP8YnrcNqwoaYFt6CGfCK1/GkevRicabAJDouIepb1gNEAqx8L5H8VtxUJHY62V/+R79dl0QG3BV/rWgDvkm4RSasqbleYlfG1NPX+khXH8/zM/cbUC+w9fdBuR78mIDEjmYloCLVNHK6yMoPA3yMJh31Gwc78FNzymS/6it0y9Ok1rfPoSipRvTUf+TyLDgw4IkrOqtjhrKKLli8i3Tw30nQC1iMUR6TnIXHhSVO1GE0ARH8kesHwd00XNT0vebVRogFB1DMVe2H4f//KYZ1RsHC/iMvpMwv7Hg5is2APN9bAA6eCIHKzo9ZG7NZs/DQE1vcpe3ZQiRCnQmJ+lPF6u0JFjAg5i4w9bFOTWV16/BwUitf9U2fH/1a0DvYrpwwDbpxSeBEKQZvOaNIaX9kAhE0ytzEBJ78SDzPZ5RE3V01IQ9jeOhV70VBbl1Kq80MhbXFZ2YnIXTKLg4WQ1lse4vHnFVHhEb9Iyt4bSj5tNYvyv3JRFkuOTmPon34O+4fSusmQ5EXdZstpXVH3t5XMlhsUFXOfVLb+6Vsv146DbcGNAUYUp2aLxnqFjVNi8xPpQD2pbFQfVWQy8yZteQaapoouz99WrFGYeyjmr7OV2b1wJ/xty5yCII2KZBfG4KmTJjHkJ03rsHtXgOp1Gkb/toG6aqxgwaLEBKRWmi75GCkos4JSVlKdkOKRj9D8WH4fkpPuz5RCo68b22/KgPGx1jtJ07N60PbP8xIKEjU/CGcWq44N0eSbY70vXLjVJ6bQwN5jAGBAHb8zeRJlY0jSED06F9Jw1xyuitadS/80W0M5OJw7MYWDSsgi+L+R/xgyZIjv4EE8xHX09pH7ZaLAD9RyGjYhFLky6bdDb+iW7TmC03A451tlL5mFegOUBvDkrr/VkNRqxbbysNrewAzrvWxZ5EhSjf2g0o0umvqdpm6Du2F+pKaEOy3VESFEl9lTuN9OZSBpk+pgmhsb5qG+5fTt+tMzmdRLNJLNtviuo93paT+Ryt92cVBx7vdXUjNndeWr//2o225mbEBvHvzlmUVRTrnEVZ3ZyyUfIdt8X3aEE/L4Mp2UAXvzghjStA7uPmiGdu/CD+ORbYZftdDWkN2PhPw2r4FheVjuDec2zNAJk7Ny0lQ2jGuNUvO4AGPjpmtmsrgFkP5RwtRPW5dRaesvIu3LdsRCs6EdRYu9H2ZLsmU6KiA79Z/RoQ26ggCOWMh7IX523zsry0vn1IYv2uFvORKYOT3eadV6WHXH0fpYdc9cxZpyCzJLadcqrQM9MqNQ7lPPwyAzn5qtzhKLmOv5f1GIh2yXacEUTDB/OOIpUZ3EiJn/8oZH5t80FPbHoY3jjrXE4aVqNZsy5ldDua3I3fLDIJ43woZ0IfO8298Oph/CYnMXDwPVJQBHfDakhAk+34LnhOc3tzJ6DFeiyPbfZaj5BIumXV68No9J9IKw2N/15ytyNNcyfuNiDf4etuA/I9ebEBqXtwWoI56KRjA9AStyzJSe1GTGLr1tmaGBvKocghAYWbkMRerKB9jxQUExjKYKLmO1FQGVVkyjNZsshiQiofqi0PQgJFxn4oi2KgYVVB07sZ3BU3lI3iwzgsrbM5Jd+UDOFhQARtdAyFR3TcVV+IdQoZCxWdyDogNjUygffJVyjj6N/rO1HQiUjNJlvX2sGrs+J7FFNxSk+al+ZVX088JIslSrTKDmASM2dhRqUJDAmr2oZGjAY8hizGBlB8+04CgRi8OotJnzHoMoX206//Rc21/iO2BqmVd+H9M2jJfxRFFVfxhAlEJl01FP/8z5aiWZm5wWJaRDRpmenXsX6ELjYvzetkmiFvoQwwsLUbkb5dtw7bMYZ21a3HpK55qUGTGppQeNbRMEX/EWARq14f1oevdSGrBKjkLlwPsZfHdbsXcLG1si5lpHlZXhb/pFva3umV2AD01f6jeLDWbgQillM6whYik2hA058uBqa6C7Inom7jB12dMIYy8GCwsGWjxo0Sp77886lZ5+eJ9btKKAqnTOF4LqdNQs1myKHq19o60f/gq4D4ThQk9PSM/PrrH4j1WF6a3urHMCGHIr+8yyumouMuCGP9XiHkP2LLf35zrzSsgpTH92hBp5YMfWMw3H/97Qdo3s/AzMzfjiS8LR9tBz3tXE4eer9Lczl8j6BRnrMoC537tCsb/22HVO78ZwpW08N5qdyJ+5+EofCsgT/s9AolNq3WRUy42UzwnoxMGf/EUyklyLF4IdSh6Lkp5A104/qK9aPwqOjE5Ldyh0ddql9jEsmP4/xg8xOZRAp2dNyVU5+3SuUOeIVoVq7oRCFGWaD/CK41/VwmyK5ms62hbNFRLzU+fhCbB98TaW3YGKLnP4YmwPcozNYBG++15YGcFsIshonb5iR5UfGQzGvFGc4mhOdERafX7HLQw20d7/nqLShWAw68buFZfM6KTm9TWbUd32PzUjRrFR2O0sEqOk1Y4yZsJhtXGMnnoHdvWWdymirP37XitRFt2urW2Rp6R7BI87K8pnz7Hi1o4c4twrxWyIeZNN+wuqAJ8f5juJ64Rdnx861AsmewvY5MuooBD8/ieVYy7Ho+pQI2xvVrbTUzk9BY8doIktp7sGkp2++FJIYyhpBm/nk+J6Jjrvoz/VdSeqZxU1o8gvM6MoHn2JyFGd06E6vbNj/jBTWavKJ4D/4evqzH4POrW2eroX/euwfFdzmtwzdi4GP92AYG8+azG1ALMe+U9MV7MXziBrH4ML47SrYZcFrRCakbYShzFmWlvMuRX3/9Ax0ikOSnNMl1UD1YlzKaTcbfv3gE51ByN2iKrDd8JwoqcWaTUbXdwBfyqEPYKFmXMupntM6O3W1AvsPX3Qbke/L6Rw8IyT2JbuPVsB1NGGaaMU2aw/++XEoPubKgYVo5+6EMHhbxHhw63FyQHpXcZbIcTqJJsc4AdRrrd5W+VN7lNRPMSUjsxcFAekf5HhQwNCy3PJjTZoMbgbb5Gc0zSO52lFpElGdir5FRpM2D/uqszPx2iepFQxk8CPkKOCgGwrOY6hPvx4lwRadpGnbi83B6Enl+CvShlKOow3DahJHtMkGIhqVf0WnSsC9mVUsc7zVBdaZAqdxpqEhmspzc5YXxUXtbvRXZFsQnlva58rM/+7SADDiQssQPGg/G1VmpX4OJEjXQhA00rEIRQEJS5Q5HzbhsmGhetB6DtISFLWU9lMY1riiocbRlSU4qdzqabkzqUNs7vZoNQnOr/6it5l0G0MX6TQNrUsvpGWJAGCUo8Wtj+hkrd+LBFngqpZSu8KyjE+CiaTzUWOQSFlC9xdEkeIY6knRVv6YgXb/cCA/OE0j/5uaQ+Re3b4VBgrqQFRFR0o51Ct4b5jeUHfBkUGc+bxbrdF69N+Vd2Hr5Tno4Sd/ltFjnsxqc538ypUGipYfw/Sx4twcbMUPfqd7ipc03rigoMjk65qp/KJQx02wT6MUihSGRjSshZ6KUIeAChbnox/ul7AAKBmI8i56bgtnzfBbSLJPzEx135eu/3qMUuPobA9K4Ajjff3xR6hiwcV35TmIA4H8SjVPNJltpZtzMhnL4XJHnp1RuEe9xtTgMOCanyPyGkUn8zroF6PJSy32Pg7RTv6agG1NmJ1C2WH9jQL1ANP9yi8szj9Iayl0Sr4ziHCl4Rv62BRnkKxy1tejlNqFhdUG9TSTCUdYXLDgqka3oMIb3HjTSVdtx/Va9PvytM5UbntiAZ0rn9Wady4l1MatePfqKajfaiiSt2YR7hbCRUM7RwFPrMQ9L3Lwsr8bjYMHRgQSDFxfWTGLAk8NWkIOJ2o22NmLJ3Y42wpRNJrpRfPJZQ5+E/0pKmh7GvcXzbPFPukVE8PlfmNQmiMW4dQokOOsUrk2ie2s32vpeucmLPD8lvstp5OHsNoRA29HhmP8oGtd5rSnxH7MVfR3vdT1KnBnwREe9zVrRjKODLt9xz1jPEEF62oIFRz77y736fRUfRtPPhqr0ELyK8YMGzX3QCwLkdUMJcOVOR/HBrYtzes9FJnCdUdZKsAKBAEXTJicq75HGKFtmQ0q58bx3D6qnjUnwbBroDeNWmsjlig58N/Na8GyK96Ch4NCuohObk/q1tjbS/PeS7eY5POBqQ1ja5+rQ0HeyoFARggGY5N5wY0A3+7EB/Ea+4/hsRdP4jiK9dz0g3+XrbgPyPXmxAWltHFPOOmUDzcvyKvvwncT6O7kbXPNv/nqPyhTq1+IhX3bAC5BjoA9NgZQrhFM4GKLjMPfNWZgR6ywC0zgVph6ezU84ZULXetFstN4PkzfpRmUHvNwRhn35jmPKw7DEhtUFzRUJ5lFcVu5w9KCM9XvBccldmJhFR71wQxHo9mODKO4qd+Lw4jo5uQvFEDGdkUnDu085OkGOH3R1Mhnv9RCJRECWDHvvgXjTsgMeQYSFPtOwQxms+a3Teay6j9lqZGcC9UPvdyHk0OiGS4bQDEQmMclcWDsFnfxy6J1J/0m2Y6LtewRQAP8RPChYiCfbPeP6nEWgwIgAcbn2w91oErs8GVPNJvxeiX0mqOo4ioTmpZC6lb96WP0jDIikMd86k9P07GABD/v4tTGJ95oC7/GMxAZRMFCmVr3F2+RQzxuZcLWR8h+xpfL6iOYp1K2zZdtH2xTjSb1z1XZH8aK+R1Csl7w0oVSi0NMzcuubezEZvpzWsMT4Qfz+/iN4iPFhm9yN76lmk62UrpJhGIPjPfDJEE1deshrouizKTvgaoNRPIJpLCfUgaeA2Wy4MSCF390HE3Ufvr/xT5bJkpv7PCJP1gtALH4RaFtiKJlsHXl+Sptr63xWArZpuCew1WMeEAlgirnt8JLbgwUzRTwNaWPV68PiP2LLqc9bIe867slY6Bv6f0mwaCKv3IH7rHgEhc3CWnhxqrc4CggI5h0NTuQ5whBP6wyyIThlr97q5SQkdznfSo2mV+V//+1fJWAD4hDK4n1+8FUAKFbjEyFZLeDg3ydMgs2DFo6mOfUdt1XykXhlFJI0M9lf++FuYLOz3vXBHA7dXM06auyO9+L7aluQEd9xNCT1a01gadaT+sX6kXcQuDorsX4UUom9mPaTwkRfSs1mW43K3JgVH3ZVTslsiuIRV3HQpF0xCb5oxmuYoqP4/Lt+sVmHUzzP6BMsfnFCTcW1bw5K2X7jubuQ1S1rdNyVW9/c6xEUnwbZbUHdlHpX6LGgh8B/FA3Ygnd7RESw8ZpCYcsmvWaTLdEXJqVunZdFwsa7fA+GV//z96Bmq0RHDRBgm9eE+Y9528jmZRjEVHTi3qTXgpTJyJSrW34W7JU7HW2Ayw5422I+q7gF5XnlO4lnCjNqSNBqXZzTbWxkCmfhlo+2wyv46mFpvR9BwVXbYMSu2YzNesuSnPqJRODnq9kM8pl1Jie+R3H+ccPF8MzwrPGiXPC2RJSHxa+NKaK65o0hiY660v3xOtn20Tacj1dS0vXLjVLRYXJ0OvD+KU9jmj3vT+sMwDdsZBmg27QcwwHrbA4eokcK+qyIjnrPkrr1AE4kXhmFQqBgEuyH8Z1SuuV/MiW1G9E4Uq4ZcPE5qrY50tp8dwPyXb7uNiDfkxcbEP90SmVB3CI03BiArn3aldAz09L69iEpO+DK8c/mAke41+PKx3vQUFRvdb4VQtiwqqATdN8TaW1UqPckGSk24GoqL6f5NZswRWPWRNG02SZk8ECIHzQT2SfSKhmq2oait+WBnPiPmMLJoDVpYPWdxFpZEZWvjEJyZrYoxYdd1adHR70DuWYzjObNyzCtsk7nsQo3Ju/ajbbSSBiqpIm9hh7F4pQ40tu3wjqhrd0IPXowjwdR/VpbJ63Wafhvrv5HFYzpw6YpMJNOej+Su2Cmrltna2AVp+oMPPM/mUIS8XEUMjrxNtjIqu0wcPqeSGvRFu81E1ujm6f+n9ueee8eFBFR2g6xtZT8NKzGA8E6jUlo40o0tJRz0LRbfNjVh0b1VkelRRpKeKKgsivmIiS6UURXdDiaIN+8FBNDylbIey/tQ0EdmUQjRN9FsIBrrHwPii8W+zVvDEngKTRKRTPYnlBu2HBjAFKOPq9RCeWgUfYfRVNeMgTSGfMpQlk0INSrh3KOmq+t03mQvdKGkGOM1PzvSvtMLoJJVCcNhpps/jNNy/NKhCsecXVTEXAxuRz95CGVKTXcGMDk8FIGRYsJGWO6vf8opv/xHlclmfVrbQ3ro9ySMrmAY8vP/2zJf//NwrVjzgnfI6BuNazGhqPy+ghCPd87IJXXRyT87DTMrF2OXPmi5p/OKYayBZ5KSTBvio8sfDDle0yjeiovNW8MaQHHTUFFJ64fniV35oAQScumlduBig7QuVjElvbhrGLmRGwQ5win8o0rAD1gIZr+dLFmopCSx9+DkigOMbitIsaZHjZObJleHe/FWRzvxf1UdgDv3X8MW1pifX2PFnQTyyaYSe2cPie6XZX5sfBN7na0aSwZcjV0kjjn6BjOnMqdnhm4ZjOkNUSuW6fz6muZ15rSoVB5l/F7bYDcyH8FmGciaWMDKA7ZpBFnHJk0Q6418CEFczibCPeo6MQ1z4R15/cLZF4rgmQrOnHucltKmWhFpyeLrN1ogzhnwuai4/h769bhfc6dB1+DdQpDnvobA5A2GXxx8Yj3f1fuxDVz5YsaifW72rBzqMOGnzIkJsJzO1F6bQxNx1FbBxSLfrxfmt7q160vSZXHP5sLSt0oGlwO6yo6cF/mMFV0AAAgAElEQVTUr7V1mMhATSoHmAfEfJLajWiG6Qnka/jfl8MveQAkr7L9Blt+Oa0bw6aH85oBEu/1ktsDtkHQv3pY74PWtw/JQ+93adir7wTgI6EcSGActixomNaMHAZ5cuMRyuLPnTs3LfPaUopNpzoj9PSMIswZgBvr96A4TQ/n9Xlinc0BXvFEWtoWZHS7Hh13Nayycgeuxdgghi3z2vAMuesB+W5fdxuQ78mLDUjZjpRqppPtJvl1wMuSuDOgp3oL/hOZ9BLGyfCveWMImQVrCjLz2yWQSl2GTpmTktu3wl5a9dmcNC/Ny61v7lVyEelScxZm4HEwhlrmWMReHscDdLujoXCkuMQGXX1YlvZ5OlMWxDWbbKX3kCRDKROLtngPDk6a9vhimFT1FkxVp377oLQ86PHqWZiWHjJ4UiML4AQwNmCM8IbeUbcO/ppkO5oGokvDKRRWLPpJT2KomHUxq9rgohlzmD9a0MTq7o/X6aTOd9wLkWSIGD93dBy/LTcgRTNeWm103FCHjK65ohPfH3G/oawpvFZ6oVsiIk3LkezO6S2JN7FB4ws5jukoV9xV2x0N4gvmIYkIp4zmfQy/S2TS1fV3OI3vpmqb1+C0LchANjEKbCInWgEXWvDFP+nWBpYTLd9JFHDWYwjEVOzwBHCpyd3w+nAKXDLkaogaaUbJXQilKt/jyFt/ikJ+ZSgs0VEjxXgypX9XRScm0SKiRnxOXsmrJ4knNoACsPfXq6XmjSEpGUIzn2z3tnOhZ6bxWZ5IAwf83BSkL+dy8tVf74E+ug8FUvmrh3F9jLsKkyg2uR0VnSiwSo1UjZPfik4TKDboakpw89K8FgrWmRwySUwBcWfifNEMfkPrfBYZGZts/YyU1HEqHj+I/953oqDp1f/48p0oSGKfSSY2Q4W5c9MowJ9MqSSpvMvR9830dVJ16FcL5oA5rtxpvGaGDJbcDWlNYp/3O1hnc6q/T3S78tIfE+K7nFZ5Wf0aaMiZZcH/kNKW3IVrp3mpkSMZz0btRpOMfjanCeYNqwtKvaIZv2jGURNu9VZ4CRJ7gTdmMCzpTqGsSUp/MIeBz6MFaZufkealoHLxWm24MSCt92d14s/rng1kvAfwkOg4CsxkO+7XZDuGJgQ3UMITLJjci41ozurXoDEJPzstC2smFYFNWUzZfnw2Xs+JfRhA1K23dVDCPJxgzlH4BSWR3JwUj6BBoNyteVlez5BtH22T2KCreRrcDoiIJHc7OCPNVoGhlZTY3b4VlkQ3yHmhLK4RErsI9oiO4f6rX1PQv9//ZAp+gVUozluW5L4l66zcgWcXz9DqrY4idys6TYNsnmF9v1mlz5slN/fpmaVn0rPTkNvlDCDmHLaDiX2uZuOon+vJlJK5ajcAjMIsDXoxiqaNQfuwd+8l9uI6bXunV5PfK3fiWqS/JzpqvEjmmV++BzJbwktCxlMY63cVqlLRgf8u9DRoZ2zuo6OGRGngCERP16+1FfAQeR4BmuV7zEClAFrj8p92Kq6XVKzIpJFGvzai5vKWB3LSuBJb/bb5GfE9UtDGhJRF0vlK+4yn9XIaGWhv9YvvOORfPyzcpWB9l6+7Dcj35MUGJHogrdOcxpUFTcjmw5wGzdu3worgjA2ioGMCec1maMY5iQkWUNgGbEcPPzL3rXOYppKIRTkVp5Kcis1rw5Yg1o8CsG1+Rqkg8V7oegNPpdB4pB01Vwfzjnzxl3sknHI0ePC9r8Iydy58Gdb5rOYGaKFUMD4VMyX1nQD9hC+ua+MHTcDiMVsDuuIHYeBN7EOD5T+KyWBkCgfrgnd7JDYAUyUTsW/fCsuCd3t0M0ODKJOUrQtZUIUMWYVGwe6P1wHpaJqm0kOuEnSS7SiQaXqnib/y+ggKezPhi0yZsMkZZEyQclK13VEjOn0pxC+XdzmKR6zoxJSzeRkkVM1LER5XvsdML/OQKpFhX/PGEIIfXx+W5qUwN/qfTOH32mMKvX6PusUNC5HJ3HBFJvEdWheAzmxYVdAU39a3D+k0kRuLmk3Q8C+om5JTn7eq5r34MCZazu8XSM0m+H/43Vnn8WfTCFv03JSkP12sNBn+PnXrbQ3WCjwFLwIhB8UvTmB7ddBImC4BsckpbNs7vQiyfB76bf8xW/b+ar34n8QmsnlpXu8N38mCtL59SBpuDKiu/dn/qFS5SLwXv2nilVHdyFnncpqgTp8SyTfJ3Sgcyl89DCPxuZyGshWP4Lt5609R1YXHr41pEVp8GL99eBa/x6/+/EMUGC+PS9cvN0owZ4g7h1yVz1W8NqJNKxvfX3/9A50ykri25OY+vQ/+8cU/jyb94hEUePTkVHSicCvvcjRHon4tpCK3b4V1M1SzycujoLQo3uuq0fn2rbB+Pua2NKwq6N9ftR0SI+s0it2qbYZGt8+TZYZM4UTNPa9FNvacjjPTp3ElCFDWhaz4j2Hw4ruc1nToUM4EDhp4Bs+fuvUY4CT24vtqXoYCOpjHfWFdzMJvtRd/X8DB/UQ6WfOyvGKYCUxgABu31DyjGZTI5rphNXJ8mpbnZWHNJOhUnR7alNIjkrXmLMxIw2qgteM98EYkdwHLTFkL/YK+J9K6KSoecZUAVnbAVQlQ+R587yz2a94Y0r+3osORvb9ar2nZ3FhRqsaNbO0GnA3cNMxvmoEJeugOadgeR/GtsUFXt6gMIOQgLbkLRevCmkmZsxDbdG53G1YVtNnhRq1oBr8RfWMlw/jzxz9ZBimbGcJwINa0HIMZggGaludVAUCZMQMUE3txLc5ZmNEcnMYV+O7ZpHBzzg1G2zu9UjKEa5OvRDfOLgYLlu13VXlQsxkb61AWz+niEZyHNK4TT86cr0S3q1JW0qgCV2d1GGedBkwiNoh7bH7jjH5vkSlXAwfnN83o8IWkNDbQDasKev9xW7ugbkqKpl2Z3zijw7+iGe9ZQjy6dQohwNbZnMomI1M4YwIumuvSPpMpNOpK7dK7Dch3+brbgHxPXmxAfpib9fI1zmeBUTQm38gUisF4Dw4RRX0et7WAKHlpQoJGW8zEdMoGaOTjv0t0H4kflddHwIk3RtrGFQXVZAbNw5cJuNEXJqV5WV5e+TKOSbF5mLc8mJNwypETn835VnBe69uHpHaDrdMxUmRCWTREnG76j9i6Jo9MuZqYXr3VW0lT+jSvFenJPNSt03nZ8tF2aK/XFNTHwIaCxuRENyZ9TQ9DuvWzP/ukegseXCXDriIyWYgHHPhFEnvxEK3e6mghGOvHocvU61AOh3fZflfTdbmdiQ1CbkGfS2TK1dU2181Vrw9LwMGEq2jak2X4j9rS8kBOf9dw2tHwscRe4xWYdJXuxGl3/VqQnJhBQMxl6/1ZhEE9O61o4mQ7ftf6tYa/b5oR5/cLVGaS6HZl5QcdKrOiTGVey6xOtWs32GoOr91gK/++apuj33NsAA/b2g2evCj0zLQEr87ienp5HJubkwX97tlMBo35lKbr0j5DLxs0SbsGPe07bqs8iJ4oTuNIeNrx861KbQqnPJRx7UaPRNayJKfIU98TaTUrL3i3R65/WSrFL07IlS9qpPL6CIzd5xESV7UdevpwCttH/1Hcq9EXJqV+TUHGP1mGTdrpvKz8oENNvQRN+E7Cu2Sdy4n/yRR8EY9nlIbWen8WxWMHyE4B15bhf18OA6gxdIafnQbKeIPnRWj5UR9+h2tjUjyCP4eACgZqhjL4rf7xRR9A7UacQwHHVn0881lqN6Igp9SFjdaiH+9H02oACf6jhm70ZEo3o7EBV3NAeO8Xj7iay6JF1KBnyC8eQXNBzwBR0kzWLj7sarHKAi25G5+zeiuGJcG8oyjS27fCGg7HHKDEXmxJqreYbVQ/hjDJ3TgL/Edt6fvNKhERpQ0WTbs6SIlMmvvdND+hnKOBb8WHEQBXth8+LqZcV2/B9Ui/C/0a3IyVDKOQ9B/F4KR5WV7e+VNE8zeSu70tNk3d1ml4sP6/v/sg19qF3/n2rbCie4n9pY+h9NqYms8rOtAwJXd5TQllm9FxV8/8UNYjkTEJ3vdoQbHxIiK1G9HwWhfgXat6fRg5Fiacs6IT9y4lwf4rKQ2no8zSfyWlWGg2i/R50HBftt/4toxUjMOaomlXz/GAi+dO2QFcJ8G8o8+1yCS+C147NMrTl1e+x9HkehL2KF2u2Wzr/RjvQdNJeXGw4OhW9tOv/0VCGcjlaCzn6z+/uVebcDZE/mNoMua1pvB8uJKSwFMAatDXZ13KqDQ6MuXq0Kq8C9f+Q+93watoMOUBFxuOxhUFfaYw84PYbT5T69aZgc/VWTzbN3ohov4r2DZHx7zsolAWf0fJEP7coueQ+7XrF5txTZzO67kRyuF9tjyQky0fbYds13bk67/eo8GLJUNopu96QL7b190G5HvyYgNi5WZVVkWNNKdexOeWHcBk2zqflYbV0D1T7xsdw+FGE/DceWlNiOY0nwVuyZCrBzY9IPROMNuCh1vlThSR4VkUX+TxB67OykPvd0nptTEUgSYp1bqQVVkCJQXEqhbNOIo/JKGEK9WSYTDHSdmJjnrFJV+6oRhGodK0PI+wqylMvooPmxAzQ1HidqVo2kwt6VMxia5cT9NwzocNGxlOZaOjeIAUzXiT0KbleWl6GHKnwd+skJYHc5qR4r+CjRDDDZmMXLXdUYxl8WEUFtxmxa+NgZZybQyI1SwejiXDrj7469bZGprX9FY/fChHbWW3i4gaDiOTJg3bTMuqtpup86Fvm2opA6hbZ6tUo3gEn58I3fIubKM4fQvmHKVXhTJ4X7FBFD9Vrw9r4cUiMd7jKvueQV6JvcAyWmdzmqFRtw4NX8uDOZVshGe9woFktoCL4jdk3gfpT9Y5GDVLhvE5IhOuBmiV70GBQKra0pt7pfQQvqPwLIpRyht8j2f0uyF9ZtGP90tiLyZ5xEkHC7h2wikT6pk1hLnj2DBu+2ib4iirtgMVHB3FdiZk6Dn+o7ZOygNXZ6HpJ6HrQhbyvLf6pWTI1e1n5PkpqXp9WBKvjGpIJqexfJhTl89U7P/794BY57P6ecv3YAvIooiN4raPtslD73f90zlFI2oo6+Wj1K23vU2h8VDUbrTVa1E0jfNqQR0S0blpKD2E+7rkpQlIVQytiQnOpLWRoMQtUfGIV4xX7vAoWTznSl6aUKlf0TSkUDyH6KtjDkQw5wWzMpNn8DcrlMrnO47NBYciNH0ndxmK1qCXtM0NyIK6KTQHO/H3+I7b2qzTX0VKFw3oyV34HawzOandgM9C6EVs0GQF7Xa0wYv3YCudbHe0GOU1WvLSBGS1lzK6lQplUVTXvjkokSlsHtb/bJeUDKEIpJ8smMf7CKeNXM8QuSo6QBxkmjrP97L9nqS3fI8JwBw3W67N+DOJ9w7PGmmpMVhHx1xtbJK7IB/k863vN6t0C1i+x5HK6yOacl61DY0RA17vbNqjL0xKbMCT3TauKOAeMoAE6zGQuvxPpqRo2lXPXvwghl/J3fjcDasKumkq3+Po4IlYdv8xXPONK4B/5kTed7KgfiAaw0uGcG8wxZsbAEXWm9yY0NMzUvHaiPgez3xLcsxrjOhebmwqd5psDfM5k7sdRYAzW6hpeR4QllkMnVoehN/E90hBaZgLqyd0UMcQTBK+2hZkpG6dLV2/3Ci+47bMe/eg5/Eb8XJHqrajYQ84toI7Kjpw//CaXf7TThC9jH+Rz4SN/7YDYZADUChYp/ISe3lcMfAcChVN4/5L7r6jLjp0l4L1Xb7uNiDfkxcbkPLnDuFmXmsrBYv8e641gwUcyDWbbLn+Zakk2z3ZQ7zXJJPvxSq0bh2mMKV9mChQQsRNSvFhrDfnzoN3JN6DpqN8j5eSTDOl70RBp82kyJR3QbrgP2arVKzlwZzmi1jnEYZHGRLpWyxcfScK0v3xOvhcjJSJzZN1Ki+t92c19ZUvYl5XftABTn6Xo81P/VpbUbHFhzGtIdUrYJtiaRJNSMuDoI3cvhWGBvxUXkO2OKWnWZGM8tu3wuJ7BCtp/xE0DnXrMS2n7pyBaJx6FU2bKaoxnXLSzYKXOGI2K5zocQIXLODBSekNGzJOk+IHXTVoMsDKd6Igqz9sx0Tx8YziZ4f/fbl89pd7xTqTUz09H7b0NdAjEJlwleTiezwj3R+vQ6My5WoRk2yHlr20DwSpUMYLfyweMbSZSTSg9TcGEN71+rA0rCrIQ+93if9KShpWFUCO2g5NePZ3i+CFMYUrufBNy/H5/ufvQciKzuUUiFD03BTSp00+zoJ3e9Bo78CUkRsUmmorryMMjQV4crcJRnxtROpvDEjLgzmlDfmP2Ho/cvIeHTehd1dnpfvjdZLoxiaB1C6iQM//oRENuOvRjSJTeC8M3KtbbysjP/TMtPo8SNWyLmZVglm91SPh1b45KIlXRqX17UMw3p6BFCqcRjHDa4wYWetUXsMQrcfy0rAaBUPvr1eLdQ6T7vSni8V3ErLE8lcP/9M51bIEyOfs7xZhW2GkWmwImMOTbMf1T88YG3YtWA+jkGxempeWJTklQDHAj1Kx6BhCSuO9+P2Z8l4yjKJufvOsFnLLf9opJUNGq15Akcjvm2Gu9D75LqfhI+p01BzOED0ivis6HHnjyxJkErw+jM9ojNxl+1FYB/MYXviP2drUVr0+LPFrY8hfmHLVbxE/6GowpnUa3z/PBMq16tegOSs+jMKLGNnWxTmlgyV3O1q8R6aw5Q49My0VnRgCsFCuW4/P1fQwENIcvNRsxja1bp0JAuwyBEWTedE2PwPJ5MmCzGuZ1bPU90Rac3I4PCGWuXoLvoPKHbhHGlYVJPrC5Ld8TsRb+4/ie6Lshvf4jp9vFetcTtZ+uFv9VgHX1ml61TZQpBa+d0DCz07Di5bCOd60HMMZZqRQhpdsd7QZTu42DV3/HSRDQ4Vjnkj9WgBTfI/iTOR9qQngZ3JKm6tfa6t3It6LBuYfccuU1NLfV/LShEqguIkgdGV+04zK51qWeBjeik5HQRnW2ZwEnkpp8GhkwlXpaKzf1ewb38mCNC3HxtB/BJLsUNaTWS+9uRdqBuMrpTcjnDIb3yk8dxjcuaBhGo3nKWzZKCOtX4tnrXUWFK/6GwNQYxz1NmYMPp2zKCvz3j2oW0fKNxn4qM/bg3j/HLomdwOtbZ3Ky//65l9k1y82S8VrI/Lff7Nk+GeL7jYg3+HrbgPyPXmxAfk/XwSRwtyW0gM03uuqkZKpyjToseiq2u6oZjZ4dVZaHsRBSeoGpQCJfXgYs7jhlI2mNDLEiUyM97iqqa/ciQKKZJv6tSiiyruM5OVkQRGp8949qJuTqu2OhifWbrRlUVG/RCZQjMxvnBHrVB4m8d47/tODAqNyB3T9dzYg0TEcXI0r0Hxweju/eVaal+UVn+o7WdAQu+ioq+FTlD1wzR9OY7pJYlas3xCzHoepunElHqaBqyh2mF3CaXTDKrNdMjQnhk8pwehKSpbe3IstyhgKHUo7QhkvOJIhiEyJr+jA79C6OCetbx/CvzfmmS9//mdLbt8KS/rTxbLk5j6peWNIp9aBp1ISfnZadv1is9y+FZYlN/dJ4pVRqX1zEMSvSU8fPr95Voqm0dC13p8V62xOsZLJdhTltRvxPrhq5ySQpBpij1mk12y2PeywkXSEn50GtejxjGYHFM3gzyf0gJNB3+W0VG/Bb+N73Gior43J+CfLpH4NJuS+R0AQq+hA4RiZMIbUGwNiXczimntlFOSaPldOfDYHD+E0iiwRNCDWeWQs7PrFZgnPeg3TnEVZldiFso5illt+1IeG32xT+H4ZAkZyT8B2pOOXm5QUVLUN2w7S5WjyTXSbxORLGchlHFunfaGMoyFvNNbfvhWWxhWYPtN06z9qa8J4sh3fLX02lNmoBM9gfoMF/IbWpYzc/Coo5//QCMmWkSHdGf7JVygLvXp03Eutjo4ZSpkN6UvpIdwb89pSilrmhrV+De7ZUNZR/1rTckNKG/cocZQ/MQG8fA+2H4RKqHfA5AhUbXM0jZ7yx8aVBW2ymVhunc9Kxy83KdKajVnRjKPSzsodjmrlS/vw9/H34zSd75dhgtzQiIgs/kk30NPGd0XtvDavZmvGLRC3vSzcOMEnQjZwdVZNuf4nU9K6OAegyHNTmtAemcIzomk5mlSaoOvXoBAl2rRqO866OQsz+jwIFnCfk1pW/OKETv6tszn1iwRsPB8ik/iOKjowcadHgFvYsv2eRv+rv94jVa8Py5UvanTr5rucFhHRgcT4J8vk9q2wvPDHCql4bUQqXhuRlh/1gZB0PqsZOyQ81W6wZWHNpJKhEq+MqoSneVkeuRu9AFtwsxt6ZhpnicmEoi/E9wTC/BpXFDQLhVKtgGOrGZ1UsGS7kQdPAkyR6Mb9Vb+mIG0LMiCVpfC7P/R+lzQthxyPMjUCAhgoW7nD5Iwcs3UDE7A9Sp8IQmXr1xRUTlc84ipxsaLTUakUc2SUTmnCRxf/pFv8x3DPNKzCxoc+H55fkSlsJmreGIIczTxX6fHwnTRBn4aYRRlg9RaoHShN819JScuDBik8DmkkB45167GRKT2Esyky4eUuNayGb4SSPN+j+M4orw4/Oy3O7xdI8Oqs1L45KOf/0Ci+47b8ny+CdxuQ7/B1twH5nrzUA3J6XKq3GqNiP+QKpYfQQFR0YLpcNONp9jnZ4qo61u9ph2kWb3o4rwbCufPSOlmK96KpIFmj5UFwvxtXFHSSFD+ITURyNyQvTMkmoYJylZrNeEjXbPLStJPteIBZj+Hh4D+GlXw4jamP/4ghrox52tryPY76M5qXYh3fsKogcxZl9btqvT+rOD/KgVoX56TmjSEU0Iabzsk3J/FV23HY9f1mlfiPwBTbvNRrfojrZdhU8QjkQAwEm9eawpq4YVpX5pzaJPbhn2WgHY3o9GxYZ3PqS2ACMCVW9Wshu6GXp3qLoTYdt+XiH+oxDTZSkeal2AxUb8EBvvC9A2KdzUnhd/fJ6g/bZeF7B0QEG5CZ3y6Rvb9aL0tu7pPaNwfFupCVlR90iPP7BeJ7PCPlrx4G9eiRghobE/tcbRhCWUcnVL6TSMsmTYwaXOtSRjMD5ixCwF/JsCGjbcN1Ub0FhUTtBlw7oadnZPWH7dK8LK/TzsBTKf3um5bn1Rg5d25ampflVVsdTmOi2bYgA4TlY3k8iE2TtOjH+xWF6buM7cXC9w5IsIAHbcuP+hT/KAKggXUpowWJdQH+jfCso3QkSghIIev65UZseUyTntiL37X0EL7LxCujMvXbB9UXER1HwRLrx+bIugidP6UG4ZQji2LDcvT386XpYTygg1dn9c8NZYzkLe8FKkbHXfU8EJcacOARaV4G4zz/7jsDxUpemsC2w+SVVG8B3efWN/fKJ1//q1S9Piy+xzMSTjv/zwZkQcO0FrEselikv/dVWHzHbaUR8br3nTASLwMEKB7BuZboxn3fsBoSmDsLjvo1BTT8JhiwaBrFYsjcl5FJNF6RCW/rwuZB4QRGEug/ho2IdSovzcvyuuEs73LkP7+5VwI2rlXfCVCjWpbkZOnNvVK1HVN53+MZeej9LuB+zba5aTnkYrUbbA3OIzXMOpXX9GzKv4qmsY21zmfFupSRig5gTkli4vY33oPvhJ4qNlhNy5Hv4Xsc24k77wlOvklRqtmEc/pOVDHDXucsyuqmxDoDBHF0DNcbNyONKwuaLUQzMs/ChTWTulHyX0nJouggPIcmxDCcMn4vswG4fSssM79dIktu7pOlN/eKdRaSRBGRtR/ulsDVWd3iXf6iTmrfHJTFP+mW27fCQLlvtFXiSMlT8Oqs3FcxJqGnZ5TIx2K8ZQmybiKT8BnMb5xR6a91CsOQ6LirmHrmJzUvg7lcgQ0duP8JAEnudnSj0LjC0KsOurKwGh4v0pqIxPc9npFg3tH8qOi4qzALku2KX5zQzXPAsTVLq6LT+dbzrngE22bKqio6HcW/kyZYuRPDIEqAazYDShPMOyq7pvdxzkKcEQynZXCudSGrzWbRDK6td/4U0cyryp34fpO7HW0g4j1o2Cp34D3x/o2OmmvNQHDY/FOJQFlw8YjZpq8qyMoPOrQuIfY9uRuf6ejv50vl9RHp+80qKb02Jis/6JATn82R8X9bcLcB+Q5fdxuQ78mLDUh4EBOZ6Jirek2ibJku3LwMUqFQxuhmz+RUx86C13eioKv1lh/14d9bmlefyNd/vUcP17L9OBRoPg7mcKA3rAZ5Kpw2k+0BPHgpJ4o8P6XTtcBTKUxss5jgME2WaMXEPmPm68KBRMMeTXG7frFZrItZzQCgXIAygtoNXhI6KUE7fr4VD5CFGTRVNjZHDA6s3uplCDCc0bqYlTOfN0vTcmxKEt2YbDaugBmQKeTkxpNsRHY+pU70SDAtm3kYlTsc1ftW7vBoRXyAcpuUbHe0mIlMudoE1myy9XPXr8XD5r7yUZW4MIgqsReF/O1bYdn4bzsgC7s+otKikpcmxH8EyE/n9wuwjbiYlZo3huS//2ZJy4M52fHzrRoemdhrJCon8PmZtUJ5FrdMdetBquLanpkipX2upuRSilfRAblPybDXtNy+FdZQTV6LTIMPODAblr96WKq2O9j6GLlK44qC6sx5rZNkFBsEuSnei/+9/NXDoPu0o7AknY2J55FJV1O+E93QHftOAGNMPTdBEP5jeBCWDLvKyOeGpPvjdcqzjw0Y9OxrIxKZcnUqzy1P769X67bS/2QKE9N3eiX09AxkED1ITKaPhHIRNkb+K8CuUjbF4ih+bQyyiR/1qVk28vyUNNwYwOTyUTTvhE/4jnv3I1OYO365ST77y73wyzw/JaGnZ6Tn4zXS9Fb/P51TBCEk2x2ZOzetEIxku6NFbkUHvnP1Tw24Wkw0rizoBqZuva2EJet0Xsl23Pq0LkaxM68NzSm3rUQ+M7yubp2twXzxXpx9iQd2MqoAACAASURBVG4UVHMWIfujcSUKo5pNkAxZZ3Ie8c40etzgtC7OSSjjaLhd5Q4H2F+TpM7kctLVKOmJTOKaKtvv6ua5eov5ro/gHGaDwJwP3geJblfD35Ltjm4fOJQh/Sky4RnzCQZhkcetTfVWfN7aDRju0IPCUEZS22o32nqPxA/iWrt9Kyxl+z3vW/PSvN5X0XH8GbVvDkrjyoKCDsr2uyp7ss6g4Qw8lVKP2s/+7BPfE2nQjU7nJZRD87/8p52y5OY+eetPUWl6q1+++Ms90vZOr1S8NiJt7/Qq9t13oiCLfrz/W0QsouJb3z6EYN1ZnOEkJVG2XLvRy8CJTOG7L702Brzyc1NiXcxK6+Lct64v/1FbiVtzFmZ008iBAoMtSXmkr4iNLE3kH3wVgNzRNP9UHST2eXI2SrCYy1G/1kaQ6h0bEAZKEi4TnnXU59XyQA4yw0lXt4Cae3M2p7+Nqil6vMFd2zu9+jkX/Xi/+K+ktJng0CW5y3yv5j4lfti6iK2H7xFsVLhFoSS2eguaFMopG1dAYtm0PK+GdAIBSq+NSXIXvgd+J77jtg4xfMcxBLTOZ/Vs+uCrgKz8oEPKnj10twH5Dl93G5DvyetOCRbZ7LEBPLhCOUy5iL4k8/zOG7VoGgfswvcO4ADYCtPgfclxZbcHXOQQRCa9PA5uBni4RF+YlL2/Wi+NK00+wyWY0OY3zeihT7Z32QEcbvUmKJHc7+iY603luk3GQQcOIZK7gldnlcDheyItt2+FpXIHDuDaDbbKcdre6VXNNV/JdshAWpbktDnp/fVqFIk5FEKcJLfej4My0Y11cNs7vUBkmryEWD+0tyRasQEgCehOI+2ChmkFAlRvwftb+N6Bb5n3yva7OkljQB8fgsldKBJu3wpD0mNC55Lt3gbJfwRmZGIdmU8SvDqrrHoa6EnVWnJzn1gXs7L8p53iv5ISEUiw5r17UAJXZ+XmV0F5609RGf735WhGTXhZ7UY8jCMT7rdkaAEbhQSlbsWH8b/7j9kqoYpMohgqvTYm5V34Pip3OOp3CObNdm43ivfI81NA0uYwBWbhXNEB43hinys9H6+BGfLFCc2NCObwMLQuZmXwNyvQcLw8Lm0LMsqmp7yBQW2RCVcpNtZjKHji18bE/yQm/i0PIsNCRFAQbsb2Jlgwsot2/Pbk6ZftN6brZ6Yl8vyUSgsjU7g/uAWggb/02phUb8V38tD7XZAebkCRzMwcNvk0ClunkFYcmTL3znNTeMBfTqMJMds561Re7kuOgzT09IxYlzKS/nQxJr7GdE0ZVzjtqPF5+U87ISUcx58dfnZaYgO43otfnNBcjfFPlkn608UwnZ4o/NM5RY25/xim8OV7HPXvBK/OSvQFSGOS7Z5RuLzLo8Gx2aJXQI3EZhocG3BVPsSQQ+tCVlO1fcc92SfDNzlFZcNmXcrIr7/+gerpeQ8zQ4MyGjYAnADTb0FqU9kBM93daSa4F7NqvuUghvjq6DiAHCKi/rGQ+Y0pfSoZwgBhYeWEQj7iB708BqJoK3dgYEH9fHIXtq2hDCbQ9WsKOvGeOzeteQ3qSzhpKFIdXlo3G3miZcMpnE3NS+Gz8z2ObKKSIdczFa+1FeRBuW7TcnzecAq6/PI9jmZYlPYZKteVlFiPIcyz45ebZPSTh9T7VfX6sG6K/u/fAyoJ/dWffyj/9bcfaIDmG1+W6MCIKdsKFBnHecLwyHDK0XDEhhsDUjziyn0VY+oDSnR7vsJw2ttKR8eMfOtCVr09BJBY57Nqfua20f9kSv0Rib1myGWCI+M9rqKRuY1qvT8rpz5vleioh3n2nfBkgdVbHaWJVW9xdBhknc19a+DGhrNuvSe3TuzDECR4dVY3uqR4EUjDM2TeuwchfTtZgOTwUgZ/j/HQBQuOUuT4/OX9SRAAfUf0R0VfmFQPV9v8DKAyZhBVvcXRQMroKLYi0VFvM7fk5j7d4Le90wsPYxeuV99JDLFig65+N9FxDFJOfDYH99lTKcjMf9QnvvTs3QbkO3zdbUC+Jy82IMFxGJTbFmT0MOHaPHB1VnwnCyqvKNuPG9X3KKgYJIJo2OBhb7IYHXU1RIzTaOtSRurWeyQhHoTNy/BQqt1gqwSifi2maY0rCprKzalfwyrv0PAfhaTCupiFbtisiGs3YpPRuAL/bN06G+GGZnpCnGzxiOGRn8FB37w0r8x8voI5TG+S7R7+kFOmprf60XC9MqqbI079iNatvD4iF/9Qr3Si6q2OHoBlB1xtlhLdKGrjPXigkEBVvwYHeev9Wc0yiPe4cr/VAwKI2QZwGlzehYaJONGSIVdpONb5LOg6WQ+VWrsBDUvAxntK7HPVsFwyZDCRBRT4V76okcQro3L09/MleHVWRj95SERE5jfNSGQCn9X3RFoWvndAat4Ykg++Cqjpfs6irGrmnd8vwMPpbE5xjfPaMHX3H7E1J2VR6YiSxBL7jBF9Nx440TEzRTThkfGDHjvfdzkt4VkQoKyzMNRa51A4FR/GdfSrP/8Q25E8MLwBFySf2MvjyD4xzP9QzpHrX5ZKzRtDanJlY2idyQGHa6g3vstpEGIMbtO6mEXj1IciaOF7B+S9r8JSf2NAQs9MS3TMbKpeHsfkuMcrVBniFZl0Zea3S5QO1LgCvzUNqqWHoKUuPoz3Fcqh2Xzo/S6xTucVoxl+dlo9WCzcWh6EZJHNXDDnSfnaFqDZKTsAAz7Nv5FJV7K/WyShp2fEfyWlmQINqwvaHAZsyK9KhkwApgkBbV0MudHqD9vhgXl2WrK/W4RN1cvj/3ROtTyQ04BGmvqtUzDyWpcyCEQzngZicBN7USxVdDpKQCsZgka/fA+K6uZlkBZyUxXvxRnGkMKAa+vAgk05sy2al3nhgzWbsNWpvD6i51CiG9vk5C4UZWUHXAUCUCpTNIPBSOOKgt670TFXzbhsHkqGsXWxzuRQ+O/3siAYAhpOGy+K2bqy8CK2NpTDZyBBqHyPJ1liqFy9KaT9x9C41q2HTLNhFX5zEr+44aAMKDKJ91G9Bec/G5xwCn9H7QZb2uZnkI006cnnEt2uAkWYXUEvwby2FIYuhpQUeCqFDazZEoVTjpqhq7fic8R78Rsf/2yuhJ+dlvJXD8vR38+HlPMkGtvxT5ZJ6JlpiV8bk5KXJmTJzX2y8oMOOfN5s1z8Q71uyNhwVm9xNG+lcUUBG4zTeSl+cULJYEXTJii2gDO35o2hb/kYmRGlUqnjtha7RN0zBNJ/FAMA/g7hFAZssQEThmjkfbEBPOciE65mDDGcz3/E1kazaNpVeWRs0PXyfXo86mAwb7YUr43oPUdzONPt75Q+0TNV0ek16NFR4/+awTXhu4xrLLnLS2P3X0mpWT4y4WqDR3x70bSriewk61kXAJThQJCBg4luXBPWadAoW5bkgGM3mOXqrY4irCt3OjpwY/4N/Yb0i1VvMRu5y2mZ3zQDiea1Mam8PiIzv10i1um87Pj5Vtn1i81y+uOquw3Id/i624B8T14aRNiTVgkSp/l1621d+VqP5dUsR8NZwLG1MYhMmMlZ1iRFO7ZywAOurWt6kpzuxNe+8mVcyU3EcS5874Cy0JO7HV29Vm3D+ts6De0sUZlK3DFptiwmyg6gMCWNJGDjgEx036FR7zRr7NeHpXKHd1g2rCooulFENKCs+DAeRKFnpjXgj7SjxF4UKW3zMzphD6e99F4idQMuHjLzG2fEf8SW1vuBNq7dCOmN/0pKmt7qR9NnELqRKXw/TcvzXqFhTNDWpYxuCxY0TONzmC1A48qCksdoHvQ9UlDsKKfloYx5MA6gSGNAov+IrQjl2MvjYp3Jif8ogvMiE5g2xq+NiYjIQ+93ycU/1Msf/3KP+E4UZMtH22Xvr9bL2g93i+8kyC2nPm+FidhM+BpXFmTpzb36IIv3uPKNkeoxH6V8D4qrRT/ej++7Gw/26AuTSNQ+6CpJKPbyuH72WD+2KaFnUIxU7kAxyIRc60IWUqaXx9XLULUND13fcRvr9gNoon2P4jvzX0nh93sireFeARv3DYktjSsQHuh7tCDZ3y1SMEAwb2hhj2d0O8VGuHoLJs6lffidQhk0tAEbRQ1129bpvPiP2jrxrFtn69SdORSV10dUKsdE38aVkMtVvT4s6U8XS72hiHFzGO/xSGksVBb9eL/Me/egGpgDtvENjBlstWN7Uk2Tpm2dQSbPkpv74E0aQmBodMy7/is6cL+98WWJFL84Iac+b5UrX9RI01v9svynnf90TvF7Lh5BUc/sD2bfsBDzPQI6XMsSNCzVW9HcNy/N69CBm8y6dbZmElV0mPC+M6BtWeezmlbN7zcyiUJyYe2UVG3HgKZ+rVfsNKyCDyecxjnYej8CLetvDIjvZAGbmy4UOwRhxAYwsSZcgBuTqm2OEpGowb8T2sEtECfqIghr9D1akNJrY9KwuiBnPm/W9PeGVfDY1a3DkIFY8+ZlODN9jxpvzDoUh/QikQjGoU845QXPxXvhlSJ0pHaDrY1e7OVxpRjyXK/e4miOiHUhq1jT5G40KISR8HMld2PSTdAEiVn021Cite2jbSjiJ4Ey9h9DLg09dL2/Xi3/9bcfiO9xACCa3uqXcMrRpoMym+tflorz+wWaK/H/s/deQXKd17koy1V2uVxl6cF1qsQre+/O3dPd0zPdkyOAAUBkiMhpkCdhcs6pZ6bz3hs5R4IEQIAESTCTIimSFknRpmiZCpQlU5Il6+DllBwebunB0LoP37/WJkXXPfQTqlD9V6GQerp3/2H9K3zft8K9NqyHq94r3u6GtPthu2FvaNCWdmeVJe887EHpHlOUJCMdlsB0I134PdqC71W5TfWwmbao7tuD5OS+REpYw5XFvC9emhLlq/Jd2Of+SZt3FBzG/nj+szDUv7rt6nLBmCW2zT+J+4ohn8WtJj1SOEnVG+3qI99lXLmp3gg+4r4P90liRD+eEwUzJutzYOtOmVKd4vXiIMNpocrMIiAslMCyv9Em3Pm167OiWsZVWu7Jwty8xctSgBvfmZL7WzudBUxccZ+izbgztHMZKms0JInntAyR5w9MIGHZ+/FWqAG2m7TrewfQq+bVEdIfS1H8h2vp2KdL8iT0+zzyAcgDMjgAcY+CaFm/CnAVJhmW7YbWO2d6WXq1uNUmYgcmYBDLdivlJyUV6puBI8NBCTsMRe22qgb/G3cWZ6y747AhJFpPQmXG0qbgmNkJCg3YDYa44sGKRpzZL241paLB2Gn/NJ6reiPI9kur50m7kJFgyxe3pILDIzRgiSOuH4ckqScJ4nakA057aACOGnM0OBjiLCr3DtAfT4qKSbjPou/80kNLaxeosAcwrqrNyIZ++uuHRaqR9dyXLEHnXIZ0cGdf7WxWpD6DQ4ror7qkc/BRtzojkoORDmTH3Gl8n+Bz01Sx3ZDLkg1+uN+i8ldHQIZX3aIjz0/Svbseyv34EQQllwAtunfXQ87rCXr9F3668fMSUTXiXwxVqXxtGI31ssjSs8RzaEDxKu5M0Zb3W9Cl9kKGtAsZ8tyaI/0EiJjHPl1CTtOgHR800fd/9Tf0nV/i/VnP3/d0HBnmp+J08Z+qac+H+8lza45++Ztv0L/+5huiilL2yqjdw+OYQcc+XUIbvttGyR+tIu10ltI/XiFz8u4vXaRdSdGOD5rIcRhcDO1SmopfHKdrPysTZzPSZe//sX/cQKE7U1Au6rREYrZgzKL4D9fSp79+mBre6qN9H+4DtOpcBpr0V1K06b1WcqdM6NjP2gHst/72EByl14bB2dmao9p1WdIuZMTJ8c6b0jNjz4f7SbucJqeFZ5bGhacBi1j1TpfgpvVTCLq9czhb8z9cQ75ZnPH/86//DypJp7OkXUpT/RsDwIc/Ny0KeOE7U7Ti7W7SrybBwxm1RGEoMAHHlJ1+ViH6/C/Prbn/loSunQa0Rj+VQ3a3C0E3y8GyNHXt+qwQuUv3wnFlCWSnBUK/dimNqo4K6CQoV3ycSCeemQUO2DEJPjcNqFYXlIiCI7Bf/+//1vG+Z/GMkS5UJ7TTgJc4riWkyzjzZVgZiYmwpXuUfK0i4WpnbBU3Fh5gkQWGujgtAxXZJgS1DCH9vARwpBOSzk5TEcOHAHUK98NmlOwDxE+7CJiX/lhKereEBm3IZXErggzfrCVy4vrJHPhBqgO1fjUpnBsW9WA4DVdUOdtfsd0Q7lXgmRnpp8IcioIx7JH5H64RuBvb8EinJc56YQ8qX9z/giF4d//1Yap6bZgc1xJ0766HjvxkKflvzxIR0ae/fhh7VJ33+R+uofJXR8hpgBMoNm+XIZLFrpwtMbzm3U7IErcoJ3kdAjj/NJJ1nCBxPJGAqMUkAlcOwlg1Uj+REzgfk9OjTaaoR1bsMIRIXdRuSsAc7ofjH+6z4XtO05AkgDuNihKrWLmymGNeE7ZProwdiLPUfrjPvu+W1i5Is0jtQgYKkWfQf6pqC/p5NCwGf2NprVLAvDkn7+20DFGM068mRXWOuSuR5yeRWOqyRHaYeUOBCVuIw502BZIlnMFTOYERMzyYEynaFcD6uOFmWaMhctqurLp/Ve8nTrBp5zLkfnIegZqq1pY1GjT9yXq6+rMKuvazMrxW9Uiqf6E9H4Dcx5EPQB6QwQFI/iDlR37kR37kR37kR378/4+833R/Rz4AeUBG/iDlR37kR37kR37kR358tZH3m+7vyAcgD8jIH6T8yI/8yI/8yI/8yI+vNvJ+0/0d+QDkARn5g5Qf+ZEf+ZEf+ZEf+fHVRt5vur8jH4A8ICN/kPIjP/IjP/IjP/IjP77ayPtN93fkA5AHZOQPUn7kR37kR37kR37kx1cbeb/p/o58APKAjPxByo/8yI/8yI/8yI/8+Goj7zfd35EPQB6QkT9I+ZEf+ZEf+ZEf+ZEfX23k/ab7O/IByAMy8gcpP/IjP/IjP/IjP/Ljq42833R/Rz4AeUBG/iDlR37kR37kR37kR358tZH3m+7vyAcgD8jgg+TvTVLJPpP0UzkKjFtUuTVH2vkMle4xKTBukXYpTZEOi4rbTCoYsyjaZJLjiEGOwwYtXpYiV86kWz+PUf3KNLlyJnkWTHJlTCrbbZB2PkO+uEX+aYsGf7CZKrfmyJUzyWngvb3zJnkSJmnnMlQwZpF2OkvB56bJF7eoelOOIp0WOY4apJ3L0PLv9FC0xaSKHfjshsUJWrQ8RdqFDJXsN0m7kKGK7QYFhyzyLJhU82iWAuMW6ady5M6YFHl+kgqencG/Hc9R1WvD5J+0qPjFcSrZZ5IvbpF+NUmeBZMWrUiTd86SuQr3WxTutUg/kaPQgEWL3+yncJ9F3jmLtDNZ8iyYFDtokncev7szJi17q5ciz0+SdjZL4T6LQgN4bXDEoqIXJig4ZFGkw8KzX05T2SujVL4Tzx87aJLjqEFF7Zgn540FcuVMCkxY5M6YVDBqkStnUtkro6RdSVFwyKLa9XiOgmdnqObRLJXvNGjVO11UttsgxxMJ8tyaI/fNOYodMKmo3aTCbou0y1gzX9wi/ZhBla8Ny/c899NaCg7je2vnM+ROmeQ4bJB2NkuxAya++9ksuTKmzFHFDoNq12fxM5fS5LQMqthuUKTDIv1kjsp3GuSftijabNLvfvtN8k9aFByxaPqT9dgf2wwK91kUHLbIncZnxA6Y5JvBc7jTmAPHEYMC4xZFuuw9FBzG+tW/MUA1G7Lki2OdgkP4jMIei8p3YU96kiZVbMe+qn9jgMp2G+TKmtT097spdgDfs6jdJFfWpKJD2O/f+aWH/LdnyZXF/nYcNqiwxyKnYZI7hWeIdFnkuTVHsZfGyfd0nAp7LIq2mFS3OkP7PtxHRERVrw1TYbdFxa0mhXstCoxjv5btNkg/ZpB33qTCHosKuy3yzWJ/eOdN0o8ZWJvHkxTus0h/LEX+aYtK9pkUGsDcF7WbVL7ToJJ9eCb9BM5bcMgi95PzVLoXc1mx3SD/JNZ1ae0CFYxhbhrqE1T/xgA5jmCdAuMWaRew9uE+iwpG8W++uEWle7EP173bQdrFNF57LkOOw5hL140FqnkU+73m0SxpFzKkP5Yi7UyW9MdS5FnAnLlyJunHcxRtMSnabH7JTgVHMFclL49hviawJ7RzGdKPGaSfwnd0HMbZCYzjXPknLXJlTLp310NOA2sTGLdoy/st5LyeIKdlUOke2LTFb/aT4wh+XjsLu9Hx/R0UHLbIN2OR08K+rF+ZJlcGNqhg1KLAMzPkyuA99KtJ0s5myXEtgbM6bpHjsEG+uEXhO1PkSZpU+dowOQ2TnBY+KzSIPV21OUfamSy5M1g/x2GDPAsmRZtM8k8rO3M5TYXdFnkS2Av6iRzFDmK+os04K7f/uZhCAxb5pywqasf6aBcy1PBWH3mSOOcl+01yPzlPgQnsMffNOXIcNmhp7QKVvTJKjsMGFbea5J/EHGoX0/heTyRIv5qkwAT2HM9r8Yvj5J9UdlrZ+8C4Ra6sKXts8dIUOS2D6tZkKNKJ71K6xyT9ZE6eqXJrjiJdFoX7MecFo7Bpxa04D+FenOPyXQb5ZnE2Ip0WFYzBtrozJmnnM1TYg/1R2AM7pp3NkvPGAuapCXNX1mhQaBA/v6QhSfox/D00gH8LjFsUHMI86sewn8t2G+SbwVrwWY82mVS9MUe167Pkn8Q5rt6I+ybaBDurnc1i703gWbULGZzfk3i24LBFTtMgp2XIfvEsYP+EBrDHfDPY05EOrFlwGPdjwahFnqRJ4X6Lln+nh9wpdfc2GlS3NkOBCcxh7IBJsZfGqWQ/bEVwBPPrezpOkQ5L9jCP4la8p34yR3VrMhTux7MXjOHnzv20lkpeHqPynZi3wm48R3GrSdrpLO7zUYtKXh6j4AiewTeLNSzdY1LpHpMc1xJUuhe+gP54kgq7LSo6hL+7M9gbwWGL7t31UGACZyU0CDtXusck7WKaqjbncL+nMV/RJtgT7xzWyT+p7twhnEF3GrbUnTbpyE+WUnAEc+xZwH7xzVjkvz1LvhnsM/1Ujmo2ZKm4DftzSUOS6l9ozwcg93HkA5AHZHAAEuhMkv54kgLj6vLuhJGMPD+JA50x6cbPS6hiO5w+7XyG9OMwngVjCEy0cxnyT8FAVm7NUejOFOkncuQ4alBxG4xDyctj5Ema5EmaVLcmQ4XdFtWvgnHzPR0n/SQuIP1EjvyTuNDLd8LYRLosWvVOFxX2wJgtaUhSaACXXGgQl0XRIThXxa0mjf3jBvIk8X+Ll6Yo0mVRzetDlPvxI9TwVh85ryeo4a0+8s6b9uV1NkuOowZ9/1d/Q2WNhlzuRDDIVZtz5FmA8Qr3W7Tt/WZyXEtQaADP2lCfoOI2XO6+p+NUtxpGODCBX07DJN8sjB079hU74OiV7McF4J2Dc6edzZJ2MY1L4GoSF3CfRTUb4KT4ZuGEL62eFwfWO4/Pdj85T8VtMOSOo1+8bGMHTFq8DAELBzr6cTgB+vEc1TyaJXcK8xZtxrq++QsfFYxibWvXwxEp2YdLovjFcfLO2wGIdiVFkQ6LqjbnqHQvjHpxm0mHPtpFvrhFdWsyFBzG/0e6LNrz4X7yT8EJ80/jUvXF8V2LW+EwBYcsqnptmHyzFpU1GqQfz5Erg8AgOIT96J/EXEa6EHBWb4RTWrIPAUv5LoOKDtkBQsk+kyKdeO9wvyWOa82jWYo2mwgKz2RJP2aQO40zUNxqUnAEl7d/EkG1fiJHpXvwLPqJHDmvJ8j7VJw8CVyyZY04MyX7MV9ERCX7Tapbm6FIl0X9/7AFzn0/5qlym0HVm3JUthvnJtxvUfXGHILVTgSdnqRJ+mMpCYpDA3DGPAk4Gfoxg+pXIvgr7FHPOoWgo3ynQTWPZuGsD1sUfG4aQf5hQwLZcC/W/t5dD/lmVeB8PiOvK9sN56awB0FIuBd71j9pUe26LJXtxp7TzuA8aRcyEsh4FuA4lL0yinPdYcm+9z4VJ8dh40t2KvjcNIV7LQkI2Tl0ZXFmw/0WnP6MWreLaezpGUuc7oJROMj6iRyF++DUfPIv36TYQaytJwFnuXQPfg+MYw5Cg3gPdiCDw5hLlwoU6tZmyDtvUv0bAwi6r6TgqM5aFLozReW7DPrkX75JgXHYmHCfRWW7DXttbs/CAbsKB8w/hcCydK9JgWdm5DyFBhEEOZ5IiC2Z/ORbpF1OExHRqne6KNqMfRjutSTBo5/MSXAZOwj7WLcaAWWkyxK7EBjHPivsVvb/Cmxm7CBsVbTZJP8U9sKSJUnyxWG7/bdnKXYQ68hBZ9UW7Nfl5XGq3JqT4CjchzMTHMF6uVM4E5Eu2AV3Gvam6BCCBP+UctjPIJkQO4ig2j8NO/bprx+mwAT2ffWmHO35cD/5no5T6V6Toi0439Ub4aQXtyob1aveU9nWst3GF4K1SKclZ7Z8l0FLGpJUtQUObsV2gwq7ceYD43C6S/fYz+Odw999M7ZTy3Yn3I+zw0EXz7/75hz5p1WAfjpLFdsN8s5hr0W6kDThYG3wB5uR1LmeoHAf7rvgMM6OBG99FlVtwXcu7MF+0i6m6ZHoNAUmLKrcZlC0BXZs8dIUkjlHDVpWNfeF4D8wblH5ToM8Saw7J0zcaVP2U2gA35uDpaotOarakkOg1IUz8q2/PUTBYZy/mteHyBfH+0Q6LFrzbifumNNZ0q6kyHHYkPdfvDRFFTvUORrE/nSn8SzhXsytL25Rw+IE9voE7qeaDUj2VW4zyJWDzdYfS1FgHGfedWNB7JvTxPfzzcL2+ieRAOWkX+yAfUe4Uypxs8MgPbmQD0Du48gHIA/I4ADEMZegiu04/NFmVEL0E7i4SveissDBhXYBjofzeoKCw7iEllXNkXYlJQ6/0zQkA+E0DRxkVQmoW5NBluRKChmS/Say1M9Nk9OCM17cCsfCncHFUrc2Q+6bc6Sdy5DTRBaqdC+MmNOAsYp1gAAAIABJREFUkdCPIXNUuy5Lk598SwKfyq1wVqNNcO6KXxwnTxLvz45j9UblrKjgougQLpOSfbZB9sXhZG15vwXVhwy+6/Qn62l5eZyKW3HZFHbbmanI85O058P9VLEdc+C6sUDaOVSWfLNw2HyzFsVeGqdwHy5l7WKaynfBQXGncVmV7kG1gh0V/zQMuncOl7L/9iwyuSqj1fvxVoo24buUvTJKTgsXqm8WPxccwvy5sibVbMjK/9276yGnaUggVtgDZ14/maOidjh3noSqlpzMSQBY8vIYEZEEsBXbkUF15bA2ThOVMv+kJRn/skY4wFxpKN9lSAARHMGFFxrAReaL42Ko2ZAlVxafv+m9Vqpdj2DpX3/zDSrsscQRDA6h6sCZcf/tWXEyHU8kaNGKNNWuy1LBKC6iih1wQmIHMYfRFlxo/kkEJ5wBrdqcE8euuA0XmNNE1ah2XZY8CVWROpuVwCd2wJRgRbsIZzF2EFUyx2G7UsEZScdR7CHtUpqCI5ZU/viC54DEk8T8apfScJ7GsH7eeTxf6R6cZd8s5jN0ZwqB3s05cuVMWQ9PAg5r+U6cWc8C9lrZK6NU1ogqScGoJb/7ZjA/ZY3I4Jfsx9niyqhvFsGz/niS9FPI0BeMIcvsSWJOKrZjPvd8uJ/809gD4X78u34i9yU7pV3IiEOln0JGVjuTparNeH//NAJa7WyWCnswh+zI66fgEJXutTOjrgyC8/JdBhWMqepiBsG6dilNhT1wZPgclOxHMMYVTg5MAhNwXDmhUPXaMBxD5cBEW7DftItp0o8ZVLoXa17chkCxYrtBhz7ahWzuFQQdy6rmqO7bg+R9Kk7a+QxVbs3RvbseCvdhrTwJvIfjiEHep+IUGkDW2pVTdnrarmpGOi0Jpr7zSw+Fe7Fvo814vrF/3IDK7wxslW8GQaDzxgIV9qCyxdVrdsT2fLifqrbkEPycRWbZccSgwASCFqeBrL/n1hxFm0zY/i7cF1VbUNHmDH7Nhiw5DZyP4jaTituQMHBaBlVuQ+WUz7XjKCpOwWH8KmrHnNe/MSBBneOwQeW7DIp04r2Dz03D+e+z7CqtSvoEhywJOKo258j7VJwKu2EPwn0InlwZk5Y0JLFPeO83mRKw+eLYk64M9lbtOlRril6YIFcG90rlViStXFkERcHnpiX4CIzjjuHKpSuLs+TKmjjrfbCd1Ztgd3xxO8Nf1G5K9dU3i0DDPwW77DRxj7oyJjmvIymmnc1S9SZUCxxPJGhJA5Ja+uNJqaLUPJqVMxfuQ7LJlUEwWHQIzvySJUnc8Qa+n38SiatIJ+wTV80qXxumonaTal4fotp1WSQxLqYlgIy24AyF+7B/itrxPXwzsLlFh0x5H08C9jHSifuAK7NVm3NUsQO2RH88SZFOBB7lOw1yHEWgVdiDNS3Zhznb9n4zeZ+KkyuLdY42m/a+UknMokP4vLq1SJw4DSQpC7sVYmFLPgC5nyMfgDwggwOQgvYk+W/PwpB0wbkLTFhU8OyMZDbLXx0h/USOqjbnUILfj8u8fJdBzusJWvVOl0C4tMtpKtmPACE0YENNDn20i0IDCFoY9lDcBgc20mlJ0MOwB/80nBmnhUvFnYGzxu8ZHFIXrHoe/yQMW3GbgsQsmLT8Oz1wSp5IkC+uDPaMRRf/qRrVgDf7xZAe+mgX6cdzVHQI2evCHrskrV1KU+wAnM7gc9MUGsRnlu6xLwyGTASHYSzDfcicBIfhADHkii+ede92CLzIP4V5qV2XpcptcMQ5AxYaQNYu0oH3K35xnD75l2+SdiFDK97uphs/L0FWLYMLnw3y8vI4+Sdx+euPI2upn8hR7KVxuQBKXh6jiu3I5GrnM8giPaoyji+Nk3YxLZdK5PlJ8iThAPmnFQxnD5wzIqKy3YBacfk88vwkoBzTmAv9GCAavB8KRhUk6kpK4FGRDkuc8miLSYuXppB5HYQzX74TWbFwH+a/ZkNWoILsxIb7sW+qtgAawUFz0QsTFJjAWvjiFi2tXSDHtQSF++GAu1O4fCIdFvV+vBXBz4wlgTkHCvqJHL5Tr1q3NwYoNAAnqGpzjvxT9noHh+2AunQPnKDgCDLfRe04Q3WrM7LHC56dId+sJUGwbwYOdbjXokUr0gJJLN9pUOjOFLluLNCK0DhFOuGgcjWFg6TiVjgKRe1wdFwZOKq+OPaS/liKtHMZqtwGp8w3Y0n1JnbAlOpjuE9BPfpwUVdug1NSuhfvG+nAv5ftRrAdbUHgUditKkXH1B47myX9OCpUS2sRkNetyZAngTX0T1pfslP+KRUEqSpOUTsc+4Ix21lxZwBjZDgar3npXpO8T8URoD87g4zwmazAc5wm5t03q+AtPfiz4zCCL66QeOdNmbO61ajaep+KU2ACDnL1phxFm0xaWjNPZbvhPOvH7YCxelOOnDcWpPJU2IPPC92ZIt8M5q10LwI7hkZq51Al9s6bYu8cR/G8FdtRWWKYaGgAQV64H+cnMI41Y7vhtBAsFx3CXuZA1z9tyWeEe3HOOAFQ3Pa5gPJEjjy35ig4hLUsGMMerlsDOKN2Jkuxg6Y8d8Eo5jF8Z4oKxrAf+WccTySo4NkZCVxK95q05f0Wql+ZxjqeQfBX8vIY+SdVVrsfSQjHYUOqgFyhL+xRc7wRwWZRu6oy3JyjohcmSD+Ro/JdqKx55yyxYYFx+55xWob8fMEYznbT3+8W6Jd2OY1KzIwlNiLaBHvAFThODBUdwn3geCIhcFK2T6EBVCs4eI8dsKtsXEVjKJDn1hxteq+VnAbsXGEPEjfapTTOw+1ZKt2L8x3psmGVwWFLYG2hQdyJhd34/5oNWVRA1dwXjMGR1x9PkvvJeTlzDKNzPzlP2sU0qgA35+AL7DKkihCYgH3j+0Y/mZNqMidrXDnYAt8MAipOeJTshz0P92GvaBcQcC9ehsSBdjlN+tWkwL6K2xBE3P7nYvIk8edoMwIk7VwG9+SoqkypBKU7DZtYux53mieJvR8aQIIi3Iv1LdmHpFBgHDBLvuvr1mYE9le/KkPlr45QbFs+ALmfIx+APCCDAxDPSJKWl81S5TZkv/VjyMAXHTKp/NURKmqHUxPugyEOjiBDysYo0gWYUHAYF2m4T5Xbb88C0tGHSyx2EFj6glFcdNqlNJU1AtJR3ApHvWAMGarQAMryxW3KoT5mSKnVPwljxVhn/RiczoJR/NmzYIoT6puFI//sP0ckM+x7Ok5OAxc680PCfTCK2nlAAEIDuEh4hO9MCSZXuwhOTP3KNIV7Fd58ysbq89wVjFlygccOwokIjMNgR5uRDfMsIHCqXwVng//OpfGKHQbpV5Pkm0XAVtiNYNBpgStQtSUnZWVPAgY9dgDz5MrhecpeGaW6teDJhHtx2bpyKpgawUWhXU7T7X8uFtiNdi4jBts/Dcf4lc8KqHynIUGUJ2EKrImIgG034OjFDuA9w732BcwQjsIei5bHZsh5PUGuGwvIoI/iQtdOI2AobsW6u3KmwA34MinsxneLNiPY1C5kBP7hncO8eW7NkdM0KNqMf+c1DQ2iSua6sQB+RAbvUbcW0DCnAYeTHchIJypN9+56yHHEkGxn+S7sc/1ETuB6DKkIDcBRcOXwWv8k/s7OYnDEzsJ65yzhbMReGqfK14bJnTbFGebAO9qM/RSYgHNcMAbntWw3HFEO3Jnr4rk1B6d5Bk5zwRgyepyBjh2wOSL1qzJUutekHR80Idut4DQr3u6m2AHsmZL92K+OawlyHFFQCVVN04/ZXCVPAueqfJdBsZfGyXljgQITCGordhhSUQ0NqurdlEUr3u6maIspHJ8/HqEBS6qLhT14Nv14TnhWsZfGKTiMc/H8Z2H5rgyt8M7DHrDDWDCGOWTHLzhiCURUO5MVZ23Te60UGrCo9aNGrEkn3sNpAprjTsP5Y+4KO33Frar6oLhOsQOmJBW4+ul4IkGb3msl7UxWnGL/JIJiXm/PrTnB1gfGFYTsGLK73jmLdnzQROWvjhARgTfUDb5AtAnVytK9cLyizQgI2eljeI/YMwUb44off55vFn923ligxctS5Hs6TgXPzlD9yjSSPBmTDvzdXnlt7XokT0KDqqrVq5xTdTe4svhs7XKaYgcROLgz+J6eW3NU1I79oF1OU8V2gzwJUzgbDOPSzmaFJ8H8vtK9puxp7WKa/NOwo5zh9s7DLhERbLPaq6FBzCnDHhnCW7YbzjlXYN1prJ9+AgHlkiXItpfsA+dE4KhtioOiuFvluxDUcCWHOSu+OOyZdiUlPMK61eCFBEfwXBxQ6Sdy5ElgTzUsTggXzjuPs7u0doHcN+cofGcK9+bnAsiS/dhHkS5U5RneVrUZdi3SaYmd5fWX+07NHVckGAKlncvYZ6EF/898MO9TcXBeLgIy5kmi8lC+E+vF9yHfgVwdDY5YtLwMUD6uKlbsMAQKx7yS8J0pKt+J5EvsINaUzynb7nAf9h7DVF1ZPGNwyCLXjQXyJLGPig7hTITvTJF+KkfB56aR0Jy26JHiKal0aZfTAjHzxVVFZiiZD0Du48gHIA/I4AAk1JwEBCsF55F5B4EJOEfVm1DqLN9lCAaas0FOE45UtNmk6U/WU6QLDsWi5SkxqPoxXNj8MyX74fzUPJoV0l9htyVZKVfGpLpvD5LnFpw5riQ4riUkQxTpsOjaz8qAu91rChaYoV/sRFRuzZF3zhJCG5MitdNZqnptmLzzcIiiLbjsOON5766H9FM2HEQ/Dlw+c2TcGWRg9GMIEqo2AxoSGrBJ0YXditMxCyPO2bmyRkMytxy8+afgpF79WQWe9blp4KWH7f8PTFhSHq5dn6XQIObKOwfHg0vj+mMpcazCfRY11C0IZ8Bx1CDnjQUqemGCwv0KBhZHRrtubYac1xO044MmCfo8CThcDXULFBxBRsw/jSpZuM+SQIeIBFrli1vCxfEk4az7p/HacD+cBlcGl3rt+ixVb0RlbdEKEJkrtyG4KhjDZcyXcMUOkFgLxuAY/e6336T0j1eQ0zKQCe2G0EHN60Pgagxh/xa1I2vNFYHQAMr+DDGq3pQTJzQ0iLnlak6kC3s88MwMFXbj2Qq7bQ6CL47vHxrEPueMX+leXL7RJlxeteuyFJjABR/uh7PL1Qp3Co6L04ATU9ijoD2qolG+EwGHdjktThAT0m/9PCaXc3AEVavAOJ65qB0OOkO0nKZBr//CL85U7bosaZfTtGhFWgjbzENgR8NpwdnVzmWED8LY99hBxe2ZwfOW7lHCDxNILjAnyD+N+Yp0Yf9xImDdux3C44kdxFxpZ7NfslMMc/LNwOmb/mS9kPV9s9jzi5anKNpkUsf3d1D1phyFBi1xjjq+v4O0cxnwhS4hm7toRZq00wrmuTEnROElS5JUdAhroF3IiPPim4VYhStjyjnQT+Tk7HhuzZF2OS0wm0gnMqyc6fYsAC6nXUpTaFCRbU1DoB9ss9wZQAeL2nE+fHFVRVLwRa7aRpsQsAZHsKcKRnH2mJRdvTFH+jGDmv5+N1XsQNY82oxggh3ySKcllT0REbiYpvqVaYp0IUkQbcZz+6ctSfgUjALSxVXaaAvmsLAHcBzHYXweV0wa3uqT+4BtQcEo9ury8rjsG7aNvlkEevpjKfrW3x4SB5cDI1fOrkCU7Me/V24FHK/mUQgcFLepPx/PkdMyaPl3enD2enH23TfnqGpzDjyrXrx/tAl7zJVBMB7ut6T6xUk4/SQCTuZdVG3OUf3KNNWtVgIow0jWRLpsjl9gwpIqgncOwSeLpDD8zz+poLF7YC+LW+HQe+eRAGLRjcpt+Az9eI4Cz0BQJXRnivzTeJ7ynUjescBCyT6cr6J2+3v4Zi0R8mD4liuHs86D90K4F8kDx1FDeIJc0WRooeOoXfmONmMe3SkkX3wzsN/61SRVboOP4UkicRU7oIQ7FO+mrBHQQl/cEjSFJ/k57sWJHPmejotAjXYuQ+U7ccd7EkrY4blp4Ut6FlCZ4cSN01D2eELZalW9rNiBZBNDrBxPIMkS6bKkMh07CN8o2mzmIVj3eeQDkAdkcADimk6Qb9YSlaPgEHDR9W8MSHafHSXPrTkQ356Kk/54kla90wUc6GMpIeBx9iEwoQ5wBy78Te+1ijIMk8Uc1xKSaWdiGzuvS6vnJYOun8gJibbokCmE+MVLUwgEjufIN2uXXn2zMIgV2w0hZVbsAAG3bLdBK92D9MGvdKpbDcekemNOgodd3ztApXvNL2SEOIBxPJEQp1Y7C2fLN2PjQ4sO2dyH4BAMNmPGtSsp8s7DWSpug4Nf8/oQuVQF5vMqWvM/XEO+p+P00mch8GtURq9iO6pUS6vnheQYmMDFVjAGon7gmRm6d9dDy97qpXCfJUoj7ACE+2GcHUcMu0pzKS3vw/Ao71NxcBsWcGnVrQX0ZMN328hxRClA3Vgg5/UEEZFweip2oLLS+/FWKnphgrTzGSFGhvsAFYl0WLTvw31CKtaPAy51766HCsYwjwWjwBX/8jffIO8cAtuqLTnSLqZFQck/rQJQBaeo3pQDZOJiWqBGHGhEOhG8BkfgFDFOX6o1/XAAOJCrXwXSNGfMvfPIKOvH8RnMxWAFNSbjhvvh2DEBvLgN6kdljbjgo02A7DCfQj9mZ2AXLU+RdglQFK5elOzH+rlygGnEDiJQYHUmhjJ55xXOfAjk9tAA9ktoEGfIlYHTW9ZoSIazdA9w3fwZZY2ooDHuX4JUldFlKIV2NiuBf8GYgkpeByyKVW58cQTGTsuQSmDrR42kXU4DYjavcOD9ls3VavlyBYR5HuF+OEPuNM57YMKilz4LSQVPO5ulyq1wdiIdam0PKojLApyj+lUZUajyxTEvoUFLYILL3uoVQY7iNlQPq7aAh1Hcpipy/YA1FozCLvV+vJW0C7AjnHiQrHEKWX3/JM5/tBkJj3C/JUEGc9LqVgOKFm1B1YAFMrzzSIhoZ+GkM+xIu5iWKm39qoyo70WbTSHCByYsWrQ8JfwW7Sy4StOfrAepfsiiFf+rFUH1CNaBqzEcPGvnMghCJhGc169MS7DDFVv9mCHqYYXdlpC2/ZOoKHjnlc2esCTRoJ8Ct0E/ZkA84+accD60M1lA3MYt4ToEJixRpSsYw/7VTyDwcZpwiFlBSbuSQnVlQe1vxedjURPPrTmq3pgDBEqRqd1pU9bYdWNBKrd1qzOi7li3JkOPRJEc8iSxTqyQ5ryeADxzyla6Ym4KV2qZb6afhFCLbxZnhOFN/N2CQ/jeZbsNSdQxvIihcb644qup5FNoEJ+rn8qBk7jTEHRA9UacF+eNBTnT/klVJWmB3Vq0PCVnjiFfgQmFMjiVI+1SWmCCjiMG+G5sN/cCFhnpsoTHw5VLho9Wb8xJUqywBwGQfioH1SkFb1y8zCbGR5uUXVavf/6zMLiC25Hwc1xL4NmUcuXS6nmcfSWiULkNMNX6Vdi/4T4VpHfhrmboZHAYa8znhlX0uBKtXcgI1LpuTYZc04l8AHIfRz4AeUAGByAVa+ZoWdUciJoqM13UjqxswSguIMbCFrWjhMuKEVveb5GsTaRDSdc9lpISOUOrmA/iurFANRuywNqqC1w/kZM/a+cyVLcWkBr9ZE6w1k7LILeqjMQOILNRuc2g8J0pGImzkPusXZcF/nwUl1W43xJMerQFl41/WmWkn5mh0j3AlBaMQlGDYVDaWRCceTCeXDubFbledlBjB2DIuFRe3ApnrlIpN/niKvt7BMFTUTsykZxVrd6EOdCupCB1eRIXiPPGAkVb4DQVHUJQ40kqSVWlxBUcxnOHBrE2jiM24d2TwHNoZ1FlCPfbPBp3Gpdn+scrULFZMKnr4+3km7GlVyNdeL3jiCEVEV8cwWbBKC4zzwIcCyICl6cL2SrO+m74bhsCMBVYPhKdxqWolIgC44DOeOfgZEx/st4mxz8zQ60fNVL9GwO07f1minThZxre6oPDcT4jMrSBcayrK4fAhAO52vVZmYfiVlNkPhnKw4ouVVsAeShuA9Qh2mRLE0c6cKHVrgexleeeAwjGEbvTcA7ZcQoOKSWvGTx3wSgCWlHp6bIVlpw3FkDAH7Ix+0zKdqcwLw1v9YlqDkNLgkOW4MiXLAEsqGQ/yLORTpBMvfMmhe5MieoRk4C1Cxlq+vvdghl3Klha+S5DMPvOGwuSzYw2m6K6pT+eFG5IcRvmymmhGsiKYIuWp0SYwJNUqkSbcoLp987hHLlykL0uGLPVij4/PAlVtVKwqbJXRgU+Ehy26O6/Pkx1azOCo/fcmkOiQ8nhTn7yLVFm4ypn7CDgF64bkCB2qX2unc1S0SGTej/eKpyi2AEFUZm2hDTvvA5ni9XKuDIVHAJ0NDCB9/RPwdZwJYOdG+00CMssFlC5FQpq2tmsVBRqHgWElBWdOOhctDxF2umsSJITkSgbVewwBEZUtzZDweemBePPxN7CHiU4oRTbal4fQmb86bjAyhiayZXawm44+f4pZOGZ1FuzweZqBEcQqDIGv6E+QYuXIeiqX5mmIz9ZKtW58l2AVQVH7CDJN6PgcUcNKnh2Bo6sYWeoS14ek8QEy3kzN4YrWYFxm0fFNrdihyHzpB9XilYK2sriK5FOS1S3CsZsdcXynQYtWpGW4C7SqfhI09gbXDmv3JqTShXLArMgQf0qSF2zXajanBNlJ+10VhAB2pksaZfS1FC3ADusKsYcDIX78IxulUhgyVqWd2cp6qJ2U4jaXGUo3WuKnDHfy+6UrQTlTuP78tCupOQuKG5VAg0qePVP2py+wm7YjnCvJbA6Jr07nkgIb4sJ8AyBi3QpgY7bszIXHMBzcMrJI/2xFLnTCMKjLdhL4X4E4PqJHD1SNElF7Xh+Ft34fEKvZkMWSdQ+JZl/a07OoFPBdiMd2CssUuGbwXtFm+3qHMvJ+3vyEKz7OfIByAMyOADRUgukH89Rw+KEZJILRpXsYdqUknhgQim7HAE0p3ojlDoYp8y9H2IHTGDhB0FcZslU5kuUvTIK8mcXsqxOAxKDn68mVG5TeGfVU4BL9kXtpqj3lLw8JspVL30WEgjXire7yZ1CAMAZPZYPZQK247AhWeaO7+/AZXA2K5Kl0WbzCzK8jKXt/4ctIIqrfibBEUWWv5Qm540FaNTHcfHws7LiSlmjLUksSjCPZgWbr11KI+jqg6PoezpO2rkMrXu3gyY/+RbmZxaZG4ZzVW8EB8RxGCRTVlZi5Q+WmGRoWuleVY25mKb6NwYAb1GZPN/TIK2X7APmtuGtPnnO0r2mVJX0Y4aoAkWbTbr8T5VERBSYgOOjnctIpctpordEcMQm7Uc6lJyryrYzNjnaYpNnyxoNUYupXYdsXLgfAVv9yjQVvzguVQmuZDD2mfdiYAKZxtK9yAbWr0yLWkzJfptQzRdtYFzJwc6j3O5J4kKtW42AmCWNmRSuXQRUhTPZgQmb1Fu1JUdLlkDcwWmBl8QSs3WrM1TUjoCPZSd3fe8AMqdXID+pH8Ne8SQQUPinLFpaPU+xgyaN/GCjSML64nB2uIJX3GYKfp2dDa40chVEu5Ki4DD2fc3rQ8KPqNkAWW2uLDmOGBLMO01DnDJ3CkmI6o05gRHGDqhK0umsZBlL9pmioOXKmBIoOg7bQV1hD84d804inV8moQeHAZtkOBifC4Z4BibsvgmVW3Nis5wW7JT7yXkKDsOmFIxZIv+qnc6Sfxp7uuyVUamksl1x5ezXeJ+Ki6JTyT5T9mhRuyn73Xk9QdqVFDXUJ8g/aUml0xeH3fMkFDFffefQnSlUUp6dIf14Thyhiu22c81Vu4JR8MRKXh6TwF0/nhNuQ0DJ/Ea6bFsTbYJzWr5TSZKqPk7FraaQmNnxY9WgRctTpF0ETIwVsGrXZb9QAWFndfqT9bL/9GOwO+F+S3rIhAaw7u6MKXwKrpKwmlPBszMyV8yrYvI8V7Wd1xPC0YkdhCT8ohU4e64sEh36SZCWA+P4N+88xDo4cbPm3U4iIoFR8Xer3ggOFPcocT85T+6U3VOiemOOltbMU2gQ87qkAXw8rm5GW+z+Jewo163OSCWwrNGgR6LT5J3D2SzfCac9MAEOYdUWVPZZSU4/kZOeH/4p2CKujMQO4tyFBnBnehZwx7hvzglPLjCu+E9x/F7UbkqShB1z3ouOw7Bl/mkFe30qLmfOfXNOuEIl+zAPnltzckfXrssKj8txGOfdO4ezzcFr9SZAwrhqUr4Td3DNhqyICyxpSFLFDoNWBMcEisc2nVXWQgNQJatdn6UlS5ISxJbtNiB2oqCyDLtloYvQgOolpqCC4V5VcVYwOt/TcVrxdrfAbhvqE0jUdNqw30gn7D8rIIb7LfIM5wOQ+znyAcgDMkQF61CSAs9AIcalSKPcgIcld1nZiKFPLO8XfG4a6ibTdgasYjuMORMvw32W4Mn/7lcalb86QtpFyF1qZ7JCEnXlgAsv221IKd1pGZKdXPF2t2Qx+P8KRmFcLv9TpahLubKqX4PSrw8+Nw2y37wNyWBnn/X8G+pAVA7fmRLHLXbgcwFIE7JNzutwLiIdyA5z9smTgINVtRkqHoFxOC2eBfuiiHTAGQj34nKt3Iby+uelJUW6VsFWFr/ZL7ry/mlIfZbvxPfWzmco8MwMeAPdlkj1+qdxQVbsMCT7XNQOvL52BtA37SKkOkteHqPnPwsL/MmTVE2hFGmy4a0+gdfEDqpAJY6qRWAcz8PZRW5QGDsIZ5ShddEmXICtHzUKHpez4IFxXBKszFPWCCcx2mKS+ZNlkGses7OvjqOG9OMo7MG8lexDUFS/KiMwhWiLcjxHLAnQYgdMkWRlzHJg3FZuKm6z8cu+GWCrtXMZOvB3e+F435wThTR2sLh6x7AxvpS101nhAC2tnpdmgEREThPwtS3vt5A7bcqeiHRh/ViOmdeuYFSpuSingBtsBsaxp7kpon41SVWbsadJQsDVAAAgAElEQVTZ+WEZ5OCwkjSetYMVhs+wE1Iwhn2nnYMaW7gPc1fWaKCJ55hNoK3YAWeRM/rFbXZgw3LKTAYu32kI74D71Tgtg+rfGIDE8hnIsWpXUrRoRfpLdio4bIkkrjsNZ5Ybm/E8OA4bol4VHMF7nvtprTgenD3mxEC4HzwO7r/Ccqr37nqkSnLvrkd6ZpQ1oj8QK3sxLMoXx/6JdKr3PmST3plXUNSO/RQ7YArkM9KlFI0uIPiufG2Y3E/Oi5hA3dqMwI5CA6hYVG3JiaIUw8c8C0pets+ipTXzcOqWJKl0L7gkJfvxmZEuvJYx9eE+BHIsXhEcgd32zcCxZoWhaIvq7bE5R3WrM7KWgXEkA+rWgITN1Z2K7TinzhvI4jPsi7lcVVuUA20aAh/yT1ni8LtTsPWF3Th/FdsNqlsNLg7Do1h5rW5tRmyeWyW5qjZD5a9mA/ZHzYYsAjwl78y2L9pkyl3BfCUO6qu2QJaXq4yOo4b0ROHGjLye3PSW+1tUbc4Jl4zhV0XtqhqrZHpL9mOvmz9ZhiabL47TohVpCg3geX0zljR3ZLvEjUC5osO9mtg2ehIQJAmMqztGwUkrXxumkv3qXumyaFnVnOx/VrUrOoQqjeNaQs7cI0WTOJvnEVwvWmHDQst2GyIgEBjHWrPML+9NtkmuHJIn7hTuhIIxxTG7BKGB6o2o/NetRUNYVnzTj+eEE8TyyJxMZKhtcMSSymbVFvC4tMuAejHp3ZVV+7jZFHtUuRVckpJ9qGyybLtvBnO278N9VHTIFCXPgFIwC/fDDv/16Zl8AHIfRz4AeUAGByDuqyihu5+cFwUfzlrpx3OiAz7/wzXkNA3pblz12jCy1AoLHG0yRYM/dtCuAHzrbw8Jkct5PSESq9oVyOC5U6ZkiFjG1pVRWegE8LpOy5ByO2cKw/241FhOsrgV7+u/PUuDP9gMmNEpdBjWzmekozJDiTwLpmR/YgfxPcK9gFAUHYKh4sGqXIK/vgy8MfdoKH5xnMyfLAO87PlJaabHTrnjsCHOUXAYjh6rXfFl4MoiA+m0lCTsCxOiGKYfUzj601lppua0AFXgDCZn7vTjOcGvF7eZtObdTtGiX/NupxDjXVk4hXxBVWyHWIB3zrLVsU4jMHGnVfCmJIFZ2aaw2xLiMOOBi1tNUWEp32VIt2uucHDPhrJGkAZL96CCwMFLcZspcBffDH4tWZKk2vXI0JfvRMaQS/bRFjgla97tpKIXJtDH4dEs9X68FQG1Eg7gPeRJKBKrItg2LE7gPfbYKmXchf3zJHPmCXCGWjudFQgEZ12ZByJEY/WZvln8PBFR2Suj0jOHe1xwQFbYo7qiK9Ws8p2AYQWemREHlTO//mn8nCunsqOqCRjDYEr2mdKQLzgCx4qdDyZzcqWMVZEYsqBdyKBScwi4bHfK7tPA/VUaFoNMy5lHhiv5p+y/c6UzdtAUtSf9VE4ga1zZYnWaaNOXIVj6CcUVUD1xitpNCcIcTyRkPaJNdlM0dpy4uWLNo1npleI0DcloOq8nBB5VMIozzr1EuK8Hq5+xU/P5BmneOQRpLOfKkDvuFcHcEyZNa2cQzHN/glXvdFHVZmSKuTLCwhLLv9Mj8CfmIdRswPmPNpmyh4hIMO2hQQQ+p39aL/2PmKzNNjZ2ADDB4JDqXt2G/+feEyX7YMd9MxblfvyIJFy4W7s4xWlTejt5n4oL1LCwxxI7zvyicC/6jjBUlxsrhu9MoaHtqCWKdwydqV+VAadF8Zru3fWIDLvjCMQ0QoOwxfx5zBVk6VoOkHxxzFPsgCn2kyvE4T6sfele2AOnYauGcVUzMAGZ9rJGwMfcKQRBsQNIAHDTv9r1WelpxFLHlVvRS+nzPYR4n2gXMsKnK2o3RcBDP4akmH8alS+uVFdsN6TSyd+TJYpZva9ymwG1usMI8mrXZQVaWtRuqxOGBlG1YXVG7bQtAMF2hqHYgQmV8BmCTYwdMIUgz0qS2kX0JGLRGOaO6idycrbjP1wriRmGda3wDZN2LiNJGpbLZ3uinc0iAahgqczD4qoawzPdaZznz3dd5/1UsQNQLqdp0IG/20tLa5FoLWuEEArfV04TyZbQICplhT2ovIUGEbz5Jy3yDuQrIPdz5AOQB2RwAFL1XBdwvNPIOkVbcBDdN+dIO5Olk58ugq66wsrWrssKPIrhWZ6kLVUYbTYlq1a5FXwRxqtzh2tWxPDOg7DueAL9GBjDzJf3unc7IJ86YIkSkieheBQmiJUl+5H9KnphAiRQZTRY/aNymyKsv9lP2nlk8bhRHcv61q+EdGD1xhxpp1GV8D1tl6SZMOc04BBseb+FHNcSUEhSMIaGt/pwkd5YoNd/4afI85Mgj15J0S9/8w0pD3d8f4eUxCNdluic7/igSWBaXCWpXY8OuY4nEuKcB8ZxeXPJ3xeHo8V9DliG150xpaLxymcFssbc2I/Jie4U1ks7nRWForo1ChbGHbCfSEiwybC54JBFxz5dIk5Q+S5DnA3Wh6/cimyUdiEjndT1Y4b0XlgRHIOEpuJreOcsITvu+KCJ/FOWOH7BEdWXI4PAqbDHkk69LIXKjt+Kt7uFLB07gKzqB7/SIQu5C126A8/MiCKKfsyQvh36CWC0lzQkBWpT/OK4NISs2G47ISz1ytKd2jkQTbVz6HnBcqXcrZyISL+Kfg0FY/jZ2vXQ5WeIEZP/w/2AZjmuJQD76oPqFe8PwW9nVCb3MrKUSxqS4DYoXtWRnywl7SJw7JXbVAXuBM6l0zRA4D6dFQiUd84S5TsOhjnry5yTyq0q2JmxO7Wzo8TOknfe7lD86a8fFkdcfzwpTjcnL0r2myJn+sfDccQQoQGuaLgymPOKHXh+Dig5uxocgoO56p0uBOVXk6LWFelEQFLYY6t1sagBV364W3m4Twk0jCORwtlUtmv8md458Jv8k5b0bynsUVnyYRvGUrkVzq/n1hygHopsXrc6I6pz9SvTtLx0BudpH563uM22n8xhqX9jgALjdgDizpjiONWvTIuaFwfW/kkEfZ4FBNveeThs4V40HWS+WfC5aXKrKpp23g7ItPMZgcQyLLa4FQEN97DgTuNsJ5jorp1HVa2hPkGeBGyvdw7JH4YyOY4YIlkd7gdsyp3GXJftRmW07JVR2vReKyp+JwAB5OaJ5TsNcWA5IVOzAXDZ4jYbqla6F+eH4ZKxA6ZUFRzXEoD9DFq0eFmKqjfZ3eED45b0nGAOTN2aDFVvRKWJg/iy3ajG6scQDJTvQuIpdhAVH+4jwkINvhnIL5futeFc3DSSBURK9qnGp6pZr3YpLapW+nF0gefqJe9LljNngnpoEPs+0mEJH44TPOE+S+B8RESBZ2awx6csac7rWYD94IoTS947Dfu7c0JKuwSFLFYL00/iXmVoGaMTWLmLqzEuFlFQ8FwOLlg0hXlB4V7sc5aTX7QCKm/hfuypRSvSYq+jzabwderWZsBlVdVq5pk01CfQX0dJhXP1ieXZtdNZ4c8VHMoHIPdz5AOQB2RIBWQ0KZdb2SujX+BJfD57zKVV7WxW4FhsGBYvTcHpYxJYr1J+OYOMkCuHjBljNYvaYVyZ1Mddy8WIK/gINxirW50R3e7FS1OSTWfHNjiCz/vOLz1UugcZPHaSWZGl7tuDpF2w8dqs+37vrkc4CdUbUX5nCVUe7Pjrp9BULNKB76ifUjhlE0TJiu0IICJdNhQoNACnpGS/KTrupXuQkWR+BWfRKnZgrsoaDakA+act6QXCF6H75hwyVxOWOGZljbjwtNNZCWqclgpoFGnQO2eTH1ntirNhvllLmqSxopB2OQ0YVYsitCtHlrHBpXtwqRLBsWac8oq3u4W7wCRcd9quWgSHcYnWrkOfgg9+pcvlVL8KF7x/GqX/kv34DHYa9ZOQPGb4HDvi9auAffbOwXko3WMKxKZ6E8jVTPDnZorcH4RJ/9wtPjSoGgQqx6ZkP5y+6o3ABvO8cQdzhkP4b88KQZYJr+6MUm1SzuLgDzaDH6HgaKxUU7LfrsKx6pQnifOln0TVoGK7IQEgQ8D8k/jcSAccPSa/csVDu5yWjLYnqfD4HTZptOyVUUCUlOxzaAAZzIrthuxL7hIcmICdCPcj2KpbnSHHEwmQqVvgxLsyOOvchI3Vmzjgd6dMkZUVFbCNkGF2HDW+ZKc4C71oRZq0i1Bg0k/BKXU8kRBivvN6AhynO1PkvLFA1ZsAjyvbjaDLcdSweUrnISBRttuQZ5YGay1252qu1oX7sZ4FY6iSMHGWA0PtIvojeRJIEgSHEWRo5zLSDHB52SzpJ5FUiHTiDGpnkN1lEQruMB9tQeJAfyxF295vln4mZbvhhDGXhx3rqs1Y65J9qkJ7JUWRLqgEulOKv9dsB3EceOknciJeIV3HDwNC65/CayPPT1LpXlMI2iJUcRH9QDy35qjk5TFpKBfpsCWdue+Fdw5Bjv/2LGzwMzMUO6ggYXG8jrH4hT2oxheMfo6jcT1B+inAt0r2o8N23eoMLVqRluoq95bgZBVzPFjwgAgVEOboMGSubnVGAoXCHsDfWAKbRTYKRpXCnuKn+KfxvCX7UFngyp933vxCDww+V0xy54CNEyOiNqfuS05K6ccMCV7Ld6Giwfu4rNEQSC5zJSu34h7SH0tJLxYO+F0KKlWxA69jjk5gHLaLg5LPk9CZF8aiKczfCo7Y3DAm8y+tnqeaRxFceufwfNygkbvF+56OA3p3PUE1G7J2BcdScr7HoUimX02SdjZL135WRvrxnEgUs5pgxQ7MAd9/rozdL2fR8pRU02teH5K9yPDL0r2widwUVRr3qnskdhDnq6gdNts7b0qTU25WHG0x8xWQ+zzyAcj/Zbzzzju0du1aevjhh+mhhx6iZ5999gv//4c//IFmZmbo4Ycfpj//8z+nRYsW0Y9+9KMvvOb3v/89dXZ20l/91V/RX/zFX9C6devoN7/5zRde87vf/Y4aGxvpa1/7Gn3ta1+jxsZG+rd/+7ev/JwcgPz1sTgyz1dSVPP6EEjCR2GQS/eCrMVyp54FZJwOfbQLnaGHYOAYzuNJmIITj700Tg2LYZQYPsDOeGAcF8m9ux5RxioYw+sYu1+3FlkkbphWss8UB4I7IRf2KGfx24NUuTUnJepwvyUlesal+2/PguT2OYhRyT44DKV7TAmc7t31fMFhJCJp2MT8Cq40uDKovHjnrC+QvxcvTVHVZkjIOm8soPHd4wgi2LCywofjWoI8t+Zwib44Lt2+I13gDzAGmUv0nI0KjMOB1a6gm7U7gyCOoTPa6SwgM4+loJG/AdKp3Ofh3l0P3fp5jHyzcA6WNCSR2b85R9FmGF/Oipc1GhJ0FXbjEmbCL2OHHUfANajeBAWfyq1Q96p5NCsZ+5J9yDwx9IwzseIAj9jSr8FhZL+qNtvE4m3vN4MDlDJFla12XRbyiwrnrp/MiQpXpBNO2Lp3OxBAZ5Ft50wYZ3GL2/Da0j1w4Lo+3o7OwY9mSTuXEV5LyX48R3DIEvgg91jQjyPzHByxpLkiO2zBEawTEUHStRVOX9VmFRidyIEAywo9J3MCEYx0YP4rdiAL7DiC1zMHyp3BGviejgNeorKD3nmsHyveFLfBMXIa2LOV2yClWTBqiYKSZwGOLcMa3SlUohrqFmTPV23O0aGPdgnfhjuK61eT2NOPJxH89SIgYqWocz+tFeUe7rxeMGoJRDHagnPzx6OwxxIp3oJnZ6QZJstae5IIjN0356R5XuwgzoJ2BbLGLLXKEp761SSe/ZghTqvwqEyILEg/kNM2P6pqc85uDKgU52IHVCWhz+aYsBJY+S4oABX2WNKrgjul85lmOxY7aPdE0R9PolrSCwfVO4+EBYsouHKm/AwRib34PDwxMKH4T9dAjq9dlxXJ9OCQqqqMoCLFSSKuJoZ77cCNoVnauQzuh05Lqnssd8w8tSUNSfRymMHP+WbthpORDjjM135WJvDNSAf2GROt3TfnpCroWYDtYlEIXxyBtnYOcNpIJ6qFVZtzAonjwLtuLdQUiw6hIli6F/PEvITqjThf3jmbyM6JIRbtYC6gJwl7wcIM+mMpgXox1ynch/usoR5BMDcBLdlvS0hLVVYldbSz4D9yhSkwYQlHL9yLueLKH1dDGKLHdsB/e9ZuFjhhd2kvOoQknDTgfG5aeltwp3WWUS/ZZ0rTQh7s+HM1m6vkzI1kAYHWjxqln1C0WdkhlTxxHMX58Czg2Rk2Vdht0Zu/8FG430LlQQVJpXvsCjb3a/LOq55K++2qKictYwcROESbTUnQsAhD7Xp0fOcEpH/SEhRH7AD2SOleUwKhJUuStLR6Xs5/wSjOmdNE8qnslVHhdhbeGsgHIPdx5AOQ/8t4+eWXaWJigm7fvv3fBiDpdJr+8i//km7fvk0//OEPadu2bfTwww/Tf/7nf8pr2tra6Jvf/CZ9+9vfpo8//piWLFlCRUVF9F//9V/ympUrV1I4HKb333+f3n//fQqHw7R27dqv/JzSB2QC8o/cJInJpawwpZ9A5unQR7tIO5tFw6UR9HFgUjrDUKo2o9QamLAkAxkYt2xi9jx4E/oxBBEMoeEeIg1v9SErfAIOVPA5wBpcORjdkR9sRAbvSgqZjG8PQj1jQ5Ze+iwEp1yVuTd8t02w79qFDNWvBCFSu5BB1+mtgIvt+KCJfvbrb5ArC8NU1miI3CGP4BCa79WtRtdox1FDqgbVm3LSPTzcrzpVjyrn9HIafRqUDrl+KieE3ro1GfqP3/614OPLdxrSSbp0jyk4Ym7Wx9AqJgPrjyepelMOpPshlVE9DcPrzsAx52oIl9lL9+BS909aQvhk7kzl1pxArjgrpp3Nkv/2LC60w8g8cyD2D//y1wLZISJ6/Rd+EDBV/wnHYUOwwI6jUC0p34Xv41Il/OCQ3eHdcdiwG3oNWYL3Lt9piHSl4zB4KryveJ+udAJex5lpxjCHBpDtZZiXf0rh3l8cp8jzk2hKeS4DgrqSifXOYe25Y/2qd7qEUO+dN4X8651T8BbVBLOwxxKpW+9TcfCRlLBDYY8ljS2rNqOKUr8qI8pCpXvwd3aIVrzdLZ3mWRKZZaUZZ83d0qMtgMr4ZmxpUKeJQKBstyFd4jlj78risq/YbohgxIbvtpH7yXnyxRGwle9EwOOftCSo8c4rKd4+S6BcTM4s7Ebgrp3JkvvmHDL6l9JCdHcayG6yPKl+NSlqa2xzmP/yx4MlSF05dN4uOgRo5n/89q+puM2W1nZl4ESy486KYAzPq3xtWPoOhQYsOTMbvtsG+NfNOalKaJfTSHQcMcSJCQ0qeOO4XU1w5UyZJ+bUOI4awj0J99nwosIeuxoQmLAkoHXfnCPHYcBGFi9LSbWNg5WTny4CrEepuHkWAHkq7IajR0SS0a5bkxHnmcUaWIa14NkZae4Z6VLrqTq7sxwpV+W4/1LlVpC63SnYh0Mf7SL/NKo5rhsLgGp22I529cacOPKLlqfI/eQ8BAouplGdU/wjlpHl3jele01RcWKnnueZ7ZAnAXvKvCpej7q1GbsifjoryQHfLGyHdhZ8MCKSgC/apIKiTpwrbnQYbVGNU6csgYpVbs2J2InjqM2PXLIkKaIKHIi506b0feK59d+eleaJzMOo2YCkDAcPvlmcs8lPviXkf27ayeIUHNBw8z39BGCSsYOmNLbUT+UksVO6F8mE2AGl5qeqWszh4R5VrI7GIhlE4PPxnc62hzkR9+56yH97FtWKS2mpjHEjQO18BrL0KlBfvDQlXBuG2TFslNUmXVlTkjfFrdgvJS+PUfJHq5DUOG5XbnxPx3FPq+7t3GSWE6bcPFZ8F8XHY1gaixjUvD4kFRO+84IjsA2sXMd8xOCwJfOoL+T7gNzPkQ9A/gfjjwOQP/zhD/SNb3yD0mlb7eX3v/89ff3rX6czZ84QEdG///u/05/+6Z/Sk08+Ka/57W9/S3/yJ39Cr776KhER/eQnP6GHHnqIvve978lrPvjgA3rooYfopz/96Vd6Ng5ASjZDxYJVfsp3GvRI4aSQw7mRG3dnLtsNx9hpwmHkHh+clWZt83Cfysop4iE7hd45SzJbrDLBmWdWOvHfnhXjmvzRKiGucvM8140FMWYs1ec0TNEWn/5kveh5s/JIyT7Vkfi8wukrKNm9ux6qf2NASLyeBRjzgmdnZK70x1KiTd718XZxUpcsScLZeXFcdM9dOXzGvbseqtxm2Pjm27NUMGrj5jnQ47L/unc7pPlT0SHVjV3hnLna5LwOhSTO4hS3mUKo5cZZ4T4EXbGXxin20jia6Y1aUtXh/gkMLfBPK37MFVRtwr0Ko66ySfopvFeky5JGlQEl1xzpsqQZWkBJgfLl7X5ynpaXxyWrG+lUvRgUVtc7b4oiFBMWq7bkROq1oR68oJoNgKloV1KCww6M2027PAsmrQiNS6dq7TxgLwz5ih2A4+qftuTZiltVeT2t+j+cztKyqjkouzwzIxhllh/2ziE7WbsOVaS6NSBNcuMxhhY4nkhIxpsrfeE+PEPN60NEROSfxH53GqZ0fNePGfTJv3wTXZpTtnY9E445K+q0EFhEOqBE5lmAE1+1BQThqs05adi37f1mweB751TzsWnMe2E31iLSYZN/XTlbYjvy/CRteq9VSMuOJxLSH4jVdriSw4IITtOQrudMdC0YA6SOpYm1S5B/rlubEclu36xS1lGQnT8en28Mx/PlSagmhqoBHHcJjzabAttk+AWr/LgVzIqbS7JaEUPM6lZDCYjXSz+BShqrPjHk8pHCSWk0ygRV7pzOjdIcRw1p5Fi225DP5vUpazTEAWWoBwcrrPjFTvSu7x2AjWm1m14u/04P+Z4GV4iIBOZW1I7qCZ8v5jywAlG0WfGFFHyruA3EeA4gtLNZqn9jAM0i202x88HnpqW/kydp2g39FvDsjJOPNqOni3YZjUCrNqMa4U7hXPJeYzlehumJyqBliBJYcBhr65sFJIu7zLPSGEuEh/ss4Xmw3LjzOnhTLsWDK9kPGxUchqQrQ8H8k5Y4pQw/5DuiYFTtDSWUwRLJnGQJPjctwYrTApyo7tuDNPiDzVTYjXV35XAnbnm/hWIHTWlo55uxpC8Li0BwJcKTMCXg909bFL4zhftI9UjhZpeF3XYSiHt/cDXJnVZdyBVBfPFS8Cw5eGJoJcOzmCfJgyvgNRuy0p8oOIJ7iyv2sYOmSDoXtZu2kMK5jIi8VG+EvWf7xBzLiu3gbrlydvPBskZD7kfHYewvPhcV21V/ocdwBzCvKtqE712226AVoXHyJPActeuy0iekagsqtCwIwOe/6rVhKt1j8yoLuy3hljIUvKgd/9dQn4B/cdAkf3cegnU/Rz4A+R+MPw5APvvsM3rooYfo448//sLr1q9fT3v27CEiojfffJMeeugh+t3vfveF10QiEZqeniYioosXL9LXv/71L33e17/+dbp06dJXejYOQDzDIEJyIz/Obi5anhKdbVa/Kn91hPTHk9SwOEFOC9hU7ZzKPD8zQ64sjB3DMhjWVPTChDjogQn00/AkTVr8Zj8yE+czVLMhKyVP7iQdbTIlY+efgpHikrvjWgKN15Qhanirj7RzGelmWr7TJvYyLILVbk5+uojcaWSa9RM5IUazwxltRgDAg6VKC7ttHf2SfXhN9aacNJDTH0P2eIV/RErWpXtNUVkJjuBSiDarvgtKTpc5DzzfoiLTkKTABLLknAkLPDOD4OkU9MzZefBPw5ENDeDCLnphgoIjwPhzTwHu4q5fTdKiFWnJHPNl40nYHYuDw5ZktE9+uggSkXFk4RzXEuSfBqygsAcXF/fN4Gx2QEnscgPF8l24BPTHUhJsBodVs6/lKakeRVsQcMUOAp9dux5QsthBdLvd9F6rdFX3JHBBseQnQ0y48ZY4e312l2cur3sWAEXST+WEkMmNCt0ZOLJMrGU4QnDEbqBYsQN75lt/ewgwqCcSQtiPdGHumCjti1siV1z0wgQtWpGmJQ1J6dK86b1WKt2DvVyyD+/F3y0wgYCQEwHBIVzyrCYnzdhSyPAx5yPaYtLYP26Qy5WV1iQQnsWvym2GqNmEBhAcMY/FswB4kXY+I5CdwAQCBXaS2Xkp7MY+ZeetYrtBu753gJY0JGlZRZwiHbYQRLTFlO70DGPkc/7Hg3tycKdq75xy1M9kBW7incO51s6CX1G3FjCd6k05Wa/giOqJkTFFuapgDOvki1sizcvzWtSO1zktQ7hOvhkEKs9/FqbFy9CsLTQIieniNmTMPbfmSD+ek4aJwREEd9zLoWAUa+E04dyzU+Q4YojDw83e6lZjPf3T2AOuLCqb3qfi4mgSESpoK9NUvhN9FliGOXbQriq40/jsxctScH4V/2DVO11SDeMeRtxItnKbIcFqzYas9ErST+ZEaW3L+y2yLqxmVtSuklFns9LbyXVjQSqfTMLWLqbBq9sIWGqkUxHllRPOwat+Chlw5i0xb40rRdwojiGcTgsZ8OIXxxGEvjBBRCROb9WWHDkOI/Hgm8Fe9s0iOAndmaLaddhbrPY3+IPN4ggz1I2TQqwIxc37ilttG8rzH21G0iLcZ4tHsEpTcSuSetqVFMVeQmPaFW93Qy642ZTmlJxk4r8Xt+EMVW2GJG1xG9ZXO5OFrO8g7qTABJKADCPVT+SkJ87n+1h9PgDh8xwcsQQKt2hFWu5v5rixhLLjKOa+fBfgd+U7DVr5Nz3SV4kDba7aMiy0rNGghsUJKt9lSJ+q2vVZqUBX7IDss3YeZHCuZlRtzklVnJOmhT12/5hwr6p+XbC5XoFx64t9Rk5nqWIHIFy+Wcxr1eac9I+qem2YGuoWhBPJQjnOeL4Ccj9HPgD5H4w/DkDee+89euihh+i3v/3tF17X3NxMjzzyCBERXbt2jf7sz/7sS++1fPlyamlpISKiRCJBXnqlhkoAACAASURBVK/3S6/xer2UTCb/22f5/e9/T//xH/8hv37zm9/QQw89RMVPAwKjn0Qncs5iMe6YM96xAybd+nmMCkaRZVrpHkQ36tuzUhHwzpsCHanchtIpG9tIB5ykkR9sFJUnzjpwhiUwAXKjO6W6Gqs+EtqFjEgjunJw0urWZqSEzQpA7ifn0dH5pNJE34VKx727HgpMWOLoswRo+asjghsvGLUNMcv+8dAupwWnypAllh5kqJpvxhIC4NLaBamwcPY0OAQibbTFFAUqT0IpUJ1Hhtb3dFy6zXOn87JGXE58qftmUQnyzaoAZdyWJORKhWfBlpqt2pyTbrXRJnUZzFmitMRqYYEJSy4U9805wfo6DkOaUJyPEwiSuIu9KwcnSLuYliCD+ThF7eAM+WZxSbEmPlfFuBwebUEzyuAwni18Z4p8s5bIITOUZPGb/VIdY137+pVpchw2hDTN3YirN+ZESSf43DScb9XE0p0GNjzaZFLH93fgglYdryu35ij5o1Wojhw1qPWjRql+uVXmcHnZrGj+szOon4Lkbd2ajMhZa+cy0lPl0Ee7iIiQue+1JOO7eCmkl8t2G3Tr5zHyLJiCnfY+FUfQeMhu+FfUbkpAyrwC34ySrh61O25Hm2wcd2G3JY4YO2ocULCMLktlu7I4c1VboFDDKmTFbSb1/8MW8s6jfwwrLBWMYt9zUy/PAhylXd87AGjdEQRqjiOGnEPf03GRLmZOS2EPnKk/HgxR1K6khPvFUB5WASvsUQo8l9J2U9TLacCjFK+helNOsO/sFHEFjvHmkS4Ldkf19eG+I9w8k4m7DM9g+eOS/ZgHbr7JQgn6MTii+vEc+acxv3/3Kw2qUOtRMShqN6VK4FmwHTDtNNbYlTOFW+HOwOH3LCDY0a/C1vtmLYH/+KcsgahwY8Cy3YY4o2x7uSN5+U6cJeeNBZEyLm6z5YNr12Wl0zQ3zmR53aU187R4KeBm/imoCYYGLIGkOU04+e4MEiW8N8/9tBaB7POTECFQfR1K9tsJrJpHYT+dNxZIO5+Rypt2KQ0+4SCgQUzyv3fXA9GFS2k0d+3C++knIR5AhEDN9f+x914xdl1ntm6/NfrBaNzz5O7jXmun2nvXrl27alfOLBaLIikGM2dWYgUWWSSLrJzjzmst5hzEKJKSFWhZgQ6SLduypXZLttW27A7H2cQBug9wYeD26QsI8z6MOf5Fym4cdL/oQuACDMkUWaxae6055///Y3wjg/vtvbOIxsyXJ1Hkac2/cR4H05qNOZl6CHjhGozO5umcIKhrNqIRZJzLqiXLUyJxKjzkiGQy9MIs/BsadFG5HQUMi5jQlC6qNBAjsGjLdCJ6FGtM8T4Un7GDLtksdhCfZWmbLRK68t2YklRts2Rv4npQuwFQGDYp2Axc9a2DqmDALUBWhEYAdxl2AwwrdlqSIURaI8Mj69ZmpXFIDycDLZvf7IcnRBeQFTvxHtE3GR7H+mhcgkSsdj0kkLE+TSLbmBPPYdWDYZlqVW/R3qptkJVy74wexTtMIAuDI6u2olHIBpPnBAqUpsaEeGjq16B5Yp5EYcSGQf4o1uulTUnlH3syAfk0rycFyH/i+o8KkN///veP/b7Ozk61YsUKpdR/XIA0Nzernp4epRQKkGAw+Ee/JxAIqFTqj42cSik1M4MAnU/+L3gkqRY+XC0H16oHw5IY7LmVEORheMLtTlVtzYnfguY88sGZ41HajsU93gX5CSUXxfs0jeJUTtjfRa9MCJe/5NVxJJLqyQs7vDz4BWew8RgXshIiFxlyNwIeeIKzLo2l82/3yKj7UZN60SsTggXk91+8zxbSCy/jKhbsxmUpKVRWfeugWrICWtnwizPwIzwHHXnVg2EhgpmncmrVtw6iQ30hq/x3F1RTA6QFzH4g85y4y/o1wDsW7beF4MFpRcPXB0SX7783j8yCLTkUDbrjVtZii3a3fLelSl8bU/FOW33x273KuJwBqjWLooNTqkDCltG7PwOakP/ugjKupYTy5XVwWKjZiNE+zZFKKVW+21LLK+awMR7AsxFIak2upp2EdTZD3dqspJ9TVheawkZ74x8qQQPL4qAQWHSnYbUbML733E6oyh0oaMpacGAOzmJDy3t+DuFnA64ZmwF+xrWUHMhqNrlegWW1KFyJk17xzUNqyYq0qtqGiVzldkumR5Xb3WA/80ZSslfKWjBZMq+nUEDNue8LZVRKKZnq8RBDyU/15pxqrpwT03b5bhxkq7biPQlNO5JMTqkiM0CMy0hr9z6bkAMzPU7+uwuqegsaAb47i3IgZG5M/himRrXrsyL/o19LjOsOCvnIsKOa6hdV/dMZ6UATEECJmHEBnfKRH25UxT3o/BpXIcuhTJChc0zPNq5A2/+nChB/Wq8pWZfmxKyB8tdHZVoWmkYBU7MpJ8SqwKL+THShTIpXWYstkypiXs3TOKAYl0FYCyTQrffdWXS14broL9lri/zKvAEvQGjKka61FI16GkMPUM0mvENFvbYUhuaZnJB3iIMlopeSSa6TLBZWv92nKndYIi3yOii0WPwyUbx8Nz6Pol484yQCUR7FSUL15pxgiuOdtmT5hMfR1ODP5DmhJzZ6QkHsLyEVQraaxWSFk6NAEs9B8T5MMRtWoaFUucO97/60LUF0gefmASp5bUwOjk31iypvAYfe5RVzqrTdVm//wge6m24qBOcwGQ9PYD8wz6CIDk26BUjFLktkS7EvTyLEbzP+Dj5bsq8Mu2GbkWHcu/wxR6R20aM6SFP7vDhN5oSibi1kR5wu16/OqKb6RcgcD7pZVMFZfB3StkjZImzCcxzSy0ACkzPPcUvkk8U9tkymvZatfvWbz7vFim5CkUrHfa24Rxdm2ktnXMqIlFYp9bjHTRfdnMrT9xYZwvdMPyRliXnPY9rJDCKCUAoGsLaQjOVPu1JYUuz4e0i5YnPMn7FF/sY9rmQv1siiVyZUvBvF8lOFk5JRU9oOf5EE1a7E/uPL4utxzTJvJIFP14UmmyplrbagrQsPORIAbCYXnxQgn+L1pAD5T1z/f5Jg/UcTEO9cQmQOhYceoYLcn1L+e/PquX8sgQfiTE5N/3gdOvsa31jWgi5rvFNnRByEOTreiQ06OIeDqHlSBwFZ2KjJUY8ehWRl1bcOimQpOOcIPatqGw4Awk7XVJCGlTAWs3Oct2ALF73ijRHlT7uITco0RCfe6W58xrUUcg82Ih3Vc8JSjc1AGRJxqRQmIJRxFO3H/aG5tXZ9VjU2pyRgqW4tTNaRl6fdw/eFrHrm51Xq44cBlf7JCmR4pGzpOAZnsJmYN5OiqWaaLzt2JR04QNIIaV5PqcjL0/CGOJaEAHJxfpSMwk2USMHoEXQfjcsZZV5PCcrSa0GWRrzvxw8DaskKyCRo8A5POEJXKn1tTMzVDGmkF4TmyPLdliQMGxeyavXbfZBfnM/KIYeHIfN0ToVemBV6C7+WcR4+h1if81g6MnMZKnegk03SCzeaunU4fOW/NKNqvzoEo6Q+zLBY8WW1oTjjdi4rtwPVWNZqi2Sgapsl8jjzZlKStultMm8klXEenz1pRdF+x6Wu6Yma/+6CWhEelZ+dQW+cQFAGWLsehujaDVmRWZR04H1bVrcoMp66dVl0jfWBorl6XmQF1VuAjzSuwQganHW74PFuW7CwRfsxIQgsumuA18IhhJ13FmuUCvGAGxmCvKx2PchIxV8ZV8vLZqTAibw8LSjY/DG805zgFR5GhzR6FM9padsfm9CNC1nluZ1Q5klM1yp3aL+Ivvc89FEKZp7UmRGUtegGBTv64QlMPMMT6OQTm00yGTvJ5s2kaNq9Du5B9YNhyVdggCJ16OEJR+hr4QktO9JTU69lyxpJz4g/o6VOujg2byZV7QbgWdlkIVmP+RY0zTasRMEWSLoULPM68OT+e/OQruipdMEA7gkDCUPTuoDVh6tAAlOv5jf78RmNwmNS2o4DWMVOfC12jnt+sFs1LkvBNKxJZnw+OOEu3of1hFPQeBfuied2AtLE3ZZIdBu+PqA8xyy16lsHRU7LDvn0j9dJYGhxjy33jHhtIpK55tVucL0lxT22+CYaVmWwh+pJXHAGzyWn5NVbcvKOkHzGCWH0KJ4d8yymRmxGMIgwPI53n7jZxuaUEOsiL0+LjK1yB557Tr5ZuPmyetJ8AvI5ZpPQ90hEfcUbI6p8t6V2fK8TU4yLGQnfi7w8jbVKU+lIQQtNOeJ1K9+DA7TX1pJXvTaFX5wRLyaveDeahnxfa9dDHs3Df/WDYYRTboHUMDiL6V/RKxPKPJ2TJgqzw5i7QgN9zcYc8lxO4J4Q+mJcxV5DOVl4Ant+WYutjItoyoWm8awX9dqCLydwgj5Jrk/Ro1gntrzTrXwZWzVXzgmog/RDfwp7IiW1lFKXtdgCXOC5pHpz7gmG91O+nhQg/4nrPzKhZzIZ+bV///d//5Mm9Hv37snv+f3vf/8nTejvvvuu/J7vf//7/yUTemAoqRqXpaSLHxl2zWu+nIt8zR/DQYYLLzG6BYOOhEOV79HZIDoFtmAQ0wJuNhy3MruABmtKoIr3IY/Bn3G7GORvs2D5+GEA3RZNpmDyc3gCevzQpO4oXcOhLJCwJY2VrHUuyqvf7oO5cUTrsp9NqLZ325A9MeEuyGWtuiN6Myl6dBZhxgWgE83rINiUtkPTT/oMg43MszkVGcaG3dQA/0rDqoxo2zkt8Gc0v10fQJYuTarQpJaJPD8HDK+WnhCrSn0s8xo4Dg8kbSH2MFCKB7/QC7PKPKXH0venVMd7rerkR0vV6rf71JIV6FaHJrFh84BkngYJx3PCEuMpA6wY0njw/e3wBjwYVhW7LCla6C8wrqVQpHbDLLx0aRLPy2F4CKq35EQCSMwysbCc7pTvhhSvfjUoVuZJ9/mKHQSWuWDQEbSo5zZ8DGc+WiLfE/MS2OmLd+LzMK5CJsdgQc8xpBITVWtcgcyElDV2gfNfmpHDTO16TOdKXxtTy986rJYuTUqujHEpI36feJftop9PWpITQC8O/Q3UXfNQVHB/SiRDxKE2NiP74eOHASB1k66UJjjnSOYE5RwbvrNPKFpMc6fsJd6NZ49eBPMsTKRV2ywpLmMHceD0ZXXg5JfmQJIZdqToow+jrAWyzqb6RRR5+u9lp9h3Z1FkTJ+8aBqNHnHknaEhtazVFilXeBxFA8MrgzO4N+aZnBxWCg+h8ObhpnoL9PCEbRBC4buzqMpfHxWPGyWXLADrvzYoB+rICA6oPPDWbMqJX2vF/7VXFR5yJFCu8LAjIWfmSUtN/3idKt+NYsy8kVSe2wm1dGlSTLuRYXgnintwGCoYwPPWsCojWT9KKRWccVTHe60ggd2fkqRvUvCorycEhJMcgg5o7qfMidPkWJ8j+S4le/FMxg7gkBcZciQfxHMCz1v+GNZRSlwrdwC9TQkg/wzTz4t6MaHyHEOh4rmVUPFOyD6N89nHzNgEmeQt2EK0q9yBYmDX9zvkEMyCmknjNHcrpZA11QfpbWNzSsX6XE9CaRvAF5U7LJlMV21D4UbZJ72A5bstkdKSnsR1luCMQNKWpHOvrZthOqCRh9/QFP5c85v9qv5rgyJ12/CdfXiuH1mbeKDueK9VBb80hwl5r4ugZRAjJ4rMBiltR7HpOYE1M9aHSVkggUN9US8mQUX7HwkiHMe9jPY7EvLny+lQzXbInXp+sFs1rAK4ITKsw2lHcEiv3pKTYpNFb+FhPF95C7Z4fhpWZQSGUNqu3+EzaHbVfnVIRY/iXRGwxwL2r/qnM2rH9zpVzaac7MXm2ZxMYZbVLCAgc2VaVW9BY6Z+TUZVbc0Japl+FEpp4122yDrL9+CdpJyP069ov6PMxJMJyKd5PSlA/g/XH/7wB/XBBx+oDz74QP3Zn/2ZchxHffDBB+pXv/qVUgoY3r/8y79UL774ovrwww/Vjh07/iSG9wtf+IL6+te/rt5//33V1NT0JzG8sVhMfe9731Pf+973VGFh4X8Jw2suYmRd9WAYnoARHKYXPlwtaEumQtPkSUNucE4XDRb0+fmjOBxRlkVdvuc49Jb+e/NiKA+9MCubVrzbluA9dhiL9muNuDbkHnx/u6p4Y0Q6s7GD6DBR85z/0gw6HTlNetFheyV7dVbEKZjNjXNZ6ZJ4n00oX85WTxVPqaoHw+rA3+0Q0+OjHhCG7JHmsmR5Ch4WTdAxLgB5y/DBmo3o8tSuh2aXJjhKThgoZpzPClYyMoxFd1ndIoLl9GEhMoyUdBJs+DWrN+cEtxiccySTxbiUgaQhY0t3mMQpmrEpr6ndkJWCjWQhFjqhSUc0/Ay28tqYHDGMsenNI7JxGRczyriWEu27eQpdeyacM9/Ec9ylWHktyB8YCMZOFnGZ4XEUR0X7cXiqX51BEu/dBZEtGedwaObGHn5xRgVnMYmimTo0ia6dcS4r6br8PZ1/u0f+f6zPkWwY86QlgWKRl6eh9X9tDH6lIRQvzdXzgrxleB8zFmrXw9zcsDINU/plNB1K23A4KulAN5kHhHinjbC6m5DeBJK2dFgL7k+JRp7SpfI9ODibN5PK64D8QhgCDfCe2wk5/NWvzghBK/TCLMIXtXSHGS58V9khLDyMIm7JijSkC1ryJ8GJWmrBw2Fpmy0SEsogC+5PQf6Vsd2sgj5HusLG5YwcLop7/ngCsvytw9LtZiHLrxftx2GvZhMmPXVr8c77clg/OMn03VlU5Xtc6RwNvwRE1K7H5KHwENa0jx8GVOC5eeXVifIMAQzOoGMceXlaxTvxdWu/OqTq10DSVLIX+UecRgUWNb3OhgyIU0W+s/FuW9KYzdM4MJa1uAheytkqdgFbzuKZaOngnE5C1whp4xno7kPTjsilOJUp2Yu/yzybAwlq8nESHn1GRfsxUfTa+DsLBhyZAFVud6UsxlU0KaJHHfHT5C3Y8vcZF7We/kZSjPf1qzOSqcFMHeN8VqalbBIxKNJzzBJvHWWJ9I/FO/H+J/9+lQpNOeIP5CQsOINCiYW0UkoOn8E5twjwHMNa5b83D19Tqy3AlOIeTAIYOGmeQVAtJ3bBGUyXzLMoZLk/sqAJa1Qzgy6b3+zHNGI3gnIJJglNOUIdq38aMjpS6cyzaBKZp/BMNazKKONK2m0m6WmgcSkjRb5xMSOBr/6U6xcq6kUxFetDc4WTKk6yePH98T6LkEVS+OJdtuyFlCuGJxzxtzB8kZLhwKLOLslhim+cR0HMiXrePCZQbIDwZzJPYe+s2Ok2O4NzjkBkCg8BGEHiGqet9DTyPrGRF57A8+E57haoFTvdhHo2CIhIpqeHoaeRIUi2PcctVbFu4UkB8ileTwqQ/8P11ltv/UmvRWtrq1LKDSL8/Oc/r/78z/9cNTQ0qA8//PCxr/Fv//Zvqq+vT/23//bf1F/8xV+oNWvWqF//+teP/Z5//dd/Vbt27VKf+9zn1Oc+9zm1a9eu/1IQ4d9kgLisfjAsBsvqB8OqYWVaUoLDE9g48+Y1H/16Si1dio0l3oUDN/XVPBww54HMb+NqWoVemJWxcOTlabX27QPwfljuYs7F1XPCEv6+eSOpwi9C1lHSgYNTIIGDUf4oNgbzFMgV7EzFu2xV/7VBVbdWJ2ifzknnseD+FDIWLkHvTVIOSVir3+5TVQ+G5V5FhuFToeehcgc6Y4GkLZshu7HGhaxqWJWRjTkypDGRXxlX5XvcoMSiVyZwwMvqtN0xt8sdSNqi2efhIjQNzwc9A1XbsDga5yDRyR9Fd8xrW27Y2wgOV54TFtCdWoJDaYbnmCUJ9eZpSLPI1w/OwtNSud1STxVNotjS+MNoP4hGF39Wp0JT2LhI+ql/OoOCR2dPMO2aGNDcT56CUXwUX3/J8pRsNqTvUCNsXEmjABrAoZFY4/CLM2K0F1ykNgoTFUxUp3TXJvB5bPpuj/LcTiBvocOWdODSdnT54p04KFXstCQZ3qenUl4bh5/o/SkJ1iQEgN6mvHk8xxU7LUn7LW3HhqaUUvkvzajyPch9IE6TE4OajTnlT9kiGazZlJMpoHEhK5OH2AH9zJ/FoTU87uamhF+cEWQksZX1T2fUwfe3wzyuD/7mDTQV8uYdkVtwgmZcBKK0rBXvNjMBWOzRtO2/N49nXHuo2D2s3I6JVv/7WzGFegTjvaxuUbW82y7vR8lefD6e46BNffJiM4OUL8IotrzTrbwODpvb3ulSnmMolGvXZ+WAGBlyRPZJmk7sgPYKLWCdonyK2nbjHIIu2fktbXc9NuEJRx3/6TLow1NYt+g9iHdrj9n9KfFQMf/Hl8P6RtllvBufT8PXBwTRLRkIz6SlORGa1EhsjTonuavk1XGhPymlBOsaSOIzZw4DM2m8li0SEvpC2GzwZ/BzeG4llHkjidDUMwg0Dc45Mokk8KJhZVqSueOdaBQEvzQnZvSqbZAn/ctv/xqeqq051dgMxLfXseQ5oB8hbx5SuMrtlgRD8pBJTwnx1/QJ+dNYZyNDjkyVORX33VmU4EPPrQQkbMNYowhbEL/Gfvxs5Xss5b+7IOGmTC5vWJnG36WxxfFOW8L7/Glbwu+i96cACunFs1Yw4Eieh//uAtbFNXinIi9Pi98jNIl3nJAEEtgKBlBA0qwe63MTvc3TaLbw+SzpsCXXhijbxm8cVQ2rXMkSM01KXxsDGntlWtK96S8r3+M23OKdOqQxgwLJn3EzsspabWl82D9txvd6C+tp+W5LZKjxLtdHWNqGAmzFNw8hb+pqGnLCrZiWME8oNOVIHlVpu+1mXp3KgUin0eWB5+YBrxl2wwfjXbY8A5ywBZ6bh39Uy0pJVvMct2SqQzJWU/2iKmvFO5M/insU78IzVzCIr1l4yHmC4f2UrycFyGfkYgHiH00q4xICrLx3FlX15pxqebcd3PA0Fg7KpoiyJbN+4cPVyndnEV6NHBY56i+NCxhNN6xMq5JXx5XXsaRrGJ7AYZGGsKJeLHBebfiMDGMjoMachwnzLOQ59aszKt6JqUv90+j4N6yEbMf7bAJdQE1DIkmKJklmlnCT4mG7ZmNOAvsCCfuxw1Degqb9aGSmeTonnXzzRlLwfwzdY0qxedKS1GBqxanP51g3dsCRbtCyukWkw2dx6ImMOGIg5PQkOKfzOXSWil9vpMEZHWzVj8lEaRsWV3ayyvdYKvAcDoyBRYS5FR7Cz0q0KnGJlHY1rEyLYY+IUHqE+t/fCpmN3ty9Fg5lJGSVteAwyg21YVVGXfxZHVK/UzisxTtxKGxqQKcy/OKMKunQh69pR0gugtmddgQ56rVchnvRfhQ+5tmcfO5MWK/ZlJPplHkGhXL/+1ulg2qeyYkenpIIGhIpI4kedeTARynC9I/Xgc50NS3eFyYU54+hw2jeSEK7nnbN+pTOkX7GwobIWx5qG5vhzaGmnQUUja/VW6BbJkJ1ecmMKu7BQeapwkkxQgvKVweDkQjT1IAA0thBl3JjnMu6kg99uGpYCXhE3Tp04uvXYAoVHncPPJRcGpdRfLJ7zFA0ygKZ9G5cTQuiNW/BlnWmZuMfm9D5/uePuqFtJa+Oq3g3noP+97dKkndTY0LQyZwkVe7QU6keW+Q9wTk89/mjOCyS7kNpYfE+yEMKBtyQSdKyokf1lOlcVrrcXgcyxbx5R4IOvZZObdYSqGi/ntAccVPmj36wRdWuR+YLu7s0NzNAlBCCyDCw1/FOvFdLm5JqaRMoWIWHIbsp3ufea8ow41141urWZuXrLF2ahKk5iTWJZLT6pzMoqPUUhenixoWs+ARI+qNnkGbgkx8tBfZc55rQKxb78qSEW3qfTagPfvUFVdpmS+J0zUZMjuLdWGcojdn2Tpd4e4heDk26ZKnSNhSQNZuwFj9VPAUwhf75WWjlj+I5VUrBl9fnqP/39z54SXQBzoYSEcIMbOWay8YXDeznftag6tZlJVDWuJhRjc0pVyLW4ZLZPLcS4vcSqqGeYAUWbbnXJR22rDMs+gng8NxC9gbvWd68Dvc8lVOeWwnxyJhncuqp+LRMZDhpJmaYTQZOeM2zOWlShabdCUjFLtxHErAkoXyfLQd/XxbfJ30TNOaHJvHcVrwxIuugBKnq7BtOA+lZqd0AH5svi8+zuAfPa2gKhW9kGM0Qwi+8DgrVyLAOxdSEQ4YQkm5Ho35pG9DxlCLTZ+VP2zK9ZeM03q0nRxlbQB5LlyalMVO1av5JAfIpXk8KkM/IxQIkbzCpCg9hUSU6kamnnhPoznlOoDvFosC4AKlDYNGW/AfzTE7VfnVIjGdeB5tavBMvcuUOYDhDU+jkBxK2pKiWtdpiko4ecSSroXKHm+nhOWEJFrLwELq2HCOHpt3DT+Oy1GP89fI96IpT8tX4jaOCk5VgrvPYnP13F+TgyJRhpZTkOHCDC006gvylSdJz3BItsHkjKTr0WB/G4947i2rJirTgiGs2aSnUV8alI9r5t3tkdF6xC2mtjc2Qe1ESlT/qCPGKfgCaz7/47V4c8PUEyuvgsGVcSYumtXK7JWN840JWrX37AFCwmq5CwlLVVpCE2Imv2AlJknEJ92fp0iRM7KdwaAzOYCOtfzqjylpcok3xPtzXshZbJE7cML0WnqfgDIyvFbssCY4sGHBEE720Kalu/0O5Mi5nJHmaU5DqB8OCCKbp15d1A/JCkzjQtLzbjk2pz02hLtqPQw9JSMU9mFQwbLB6C9DUJa+Oq8iIljo8g3tYtTWnTn60VPwHbe+2CTo1PI7sgNhBSBUbv3FUPEWkK1E7z2d1pX9QBZI4LDDNevCHm8WHEuvDu1TahikCJWPleyxBKhuXgdEmNIFYT+NqWrr7DETzHLdU9P6Uqtnkdrv9aRcSQckFKULs5hf14n33OpbIycyTkFIVDOB7WvHNQ1Jw0OAemoRc6qNf/5VMs/LmQXTiffpTSeglHdpzoteHwkOQiwYW8XwZsSXIBgAAIABJREFU51Fki7Rvvy1knMZlKRU7oOVneloUGXYpRyUdeIcI0yBZqmQv1gnmBGx7pwsSQx2mVtqOz7DwMN5FTmLzR9ENJ+hhyfIUcmt03ghlKWWtthvQdhVrwvKSGXyGF7LSzCjab4uB37iSlolIWQuKLYal0vTOSS4NtHkLeuI76GZ0VG1FVknguXkBc5TvgVSW70V4Qu8D2ltF6RbXZAbMlrXYYvQ1r6dU0SsTYuqNd2ENMM/mcECcclHgLPjZyGJBxu+ZMsCKnW6uhHElLYfO8j34vpor51TJXlt99X+ExNhd9MoEPAk61JBrg1JK1a3DobZhVUawyqXtOHQuq1sUUzqN7ZxIs2MeSGqUdxI/ty9niyeqdr0O2NPviV9PAUo6tGR0r9v0qt0A71xkyBF5a+2GrEAfuNcUHsI7Sx9jxS5LsrLyFvCMMtQxsIhuPUNQgzOuEZ1J8eW7LWnWpH+yQpk3kph+HcOez6t6c072guUVc2gQ7ERThgUa83Eop+Q+XrwPn63nuCVwG1Is+Wv+FJo/3CN8OVs1V88LhbKoV+cPncO7zYl58T4UEp4T2NdYPObNu3kqLOQosSprAQ0rMoLpd7TfEUnXU0WTCJOcfpzOZ15PSXQAJbksFINHn0xAPs3rSQHyGblYgPgmE6phZVo1fuOoGPLM6+hGRIYdNfajDSB1ZLFoxDvROfTqUXdRry0Bcr4sujKr3+5T7/3SAFIxiZc6etQR/KpxJS2698iQNqR2Ykztu4MpQCCB38eDLTeVvAUcEr0ONid2Yzvea0UOhc4naPj6gCRwxw7gYOxPucZcFkORYT2uP2G51KXL6Ezz4kSAScoMpONUwLiGbjVZ+TTCclH03E6o8IszKn/MUS/8U7FIoLx3FpElorGTTAA3T2lz3RlIKWjALxhA9zeQtKXjzO+/YMCRQxAnEUWvTKBLdjshxtalS5OQ3axHWiwLN9JXSJQpuD8lWvXiHtdP4rnthuTVbMrJBCTe6eZEsLMmgVXTKCJiBxwhzdD/0/xmv8iCGNZW2m4LySY463aMl791WGhNvPfEQBbcn5LMl473WkXCV7cOBz/jPLr7YmzVmSeB5+aFNFPajv8emsImVbMJkiqm/tLYXLU1h79XS7DM0zll3kwK7ap6c069/s/5bjCb7p4ppSTxOzzhaqSj/S5JiMnDJONEj2qD58vTqurBsISosRCu2pqDREgbuUOTeNaX1SwI5rK0zUWKlu+2UPTNORL+Fpp0pYDBL82p+jUZ19ipwxmJqfYcR+FhnskprwXpAjuLLLCjR9Apjx3EAZBJ0pSm1T+NwpXIV+N8Vu7DJ6/YQRzCfDlbvfWLAA4JGdeYnj/qSNFX2ubCA1gkxTttgVT4MpCNMSyQBytOvHxZHNiX1S4I/poTkrJWfIbN1fOqqNedtvgy7jNWtxawBmYAESDANc5/d0GycoxnADMwT+VUU2NCOu7scn/x273iFyneZ4ucJN7tTjv/8DsD9+gADlw0jLMLHe/SOOcbSXmu6tbBr0YCVdVWSIAKBh1V/JVxYKf1lKpyBw5nDK3zHMOhNNoPOVdTY0KZp9GxNk9qEloP7lMgCaQ7oQqciERGdFr2jGtiD866E6r8UUf9z9/+lVDGlpfMoPjTvgbzFKbs5klLcp3YRMhb0FMBXVz4782rKz+vERN69Iie4myFH7BhVUYKTxZGnKwubUJjjv4cEpbo8WCyfc2mnHjriIwta7XlHS9rwfdU/7VBFZzBunvl5zUid86b10SvyxmZUHqOWeIhy5t36YPG1bQKzmnfxCD+zugRNGMoTQtPYKJlXMIEnRNG82ZSPDv+DNbxov22BHiykaSUUuYZNAyFyjfjyN7KSeqSFfBerPQNqIaVaSkwAwlb7g89PJzGley1ZRLIBlT+qCYJ6vt18Wd10pCjv7K4B9AM40JWwiBZoNGfU9puy3rly+FrM9y2ZmNOqJh1a7PSmKzYaT0WnuhPYT3If2kGk+Ud8IyUtdjy7IQPPilAPs3rSQHyGblYgHjnsJHWbES3l0z72EEsNuzkkxRlnoIWtLQd/87pBLG0eQvQ+VdvBoHK61jKfw+aTUqQqDkt6QC1xZdD0cMJR/4oFhTjmbTw0um3iPa7uQEVb4yopUtxsPUcB8bQOA+ZA0eutV8dgmzqJBYqEmvMm0k5QBYedrvtFTstOQjw4uGWIUwbvrNPGRczMp7Om0e305/GBsskXONqGjKdK2nR6Fbswv/MU+igc9ROzC/zLpoa8f3XbEKXlNrpgkFsIvWrMxhb52yRNDGQL5BwixbK4cjur9oGSUr566OCUA7O4P/Xrs+Kp6R+dUaZZ+CbiR3QSdPnIMPxp3RivPbbKIXOft68K60zrqYlVJIZEfQ7lO+xRIrCRFuSdKL97hjda2FDIEGGmxlxsbXrs2KmNS4AWRucgTyK4XkfPwxISN+2d7pU/qgj3oDwuE6Npz+hZgGacp2DEz2Kz9Y8g0M+DxbErwYWNU7z9VGBInhtdGspL1iyPCUmX6WU8OzZ0acHg5KholcmpDhn15dG/tC0NqTrg6TX0ROrLH5OmqFpMA9P4FBZvVnTf3QH1Wtjcy0Y0AVxCs9ctB/vZawPYAfKN6q35ASBHZxDyOCKyJhqWIXJidfCZIwFf8Ggm8OzZHlKZIeUxkjhoJPCeXhhR//Ri9NGTjmDc1gPJn/8RVCAzoJiU9KhCyCd8UBTdf3TGfgbzmLdWvHNQyry8jQM8hotzUMO5UdLlqeQzaOnjPFOHNjKXx9V9WsgV/WcsETnz3eP+GTShgoGtGdCm4kZGhm9PyVd2uJ9tsinSNWKjECOGe/CukVgRFGvLWGpFbvcHBDq9OPdbtEamsRBeds7XRJY6U/pqfNLM9DNd+N9K98NaV3+mPaIpXAYD35pDllPOrWe0w/KYggrCE1rutWljBzimHfD+xuawpSEa3P5bkuyWJghVLvelXoV6H1BcjBO5VRT/aJM3uqfxrQvsGhLp71mY04d/WCLyh9zjf8Vb4yITy16xIViGNdSkjUR77QlFJZENIZWRu9PqXg3nmNfzpYDbmQE96SoFxMBBnCGxx3xvAQWbZkSRo86AsQIT6AwiIzAPxOcw3tHIz+lwPmj+PWKXbifJDuxIeLL2vLnSORjaCvzawi8yJsH3t6ftsXLRgmueTb3mAQr3m1L4GzVNkumqoFFW/32N59Xd/6xVNC+JXtx740LWfHFlO9+BDd8PSWSwpZ32wU2EJzFc9bYnJK/v2EV1ljmd4Sm8K5Tvsx8o0DCVk1vHpHgWt7zmk058YEFFjVkRTeaajah6CQxsmFlWq2IjCnjEv7O6FFHCqmqbSi8zRtJtax2Qfnvzcuz/WQC8uleTwqQz8jFAuQL52ZEM029JPnqxiWMqpN/v0o6peW7ccAKTTvqn379eUkEfxT36b83j66KTgKu2maJzrnt3TZQdbRpuXZ9Vr36zwXKPJNTH/36r4RcZN5MqlXfOiip0Z7bCWVcSynjmbQyT4H4UngIi1JwFoUFqTakqLALM/ajDZLCTckLZVW+LDru1Q+GgSC+mZSiglf5Hnz/DEby5WwJsAokXLRtYFEf8rfmRI5Sud0S4ku0H7+Po3lqar0O8k6kE5PGBku5GxGDNG8aV5D+/dYvApI8b5zHIWrt2wekSAmPYwMzz+JQWv1gWHmOWYLdXLIcsgnvnUXIn/bpycM+TWT52iBMePenhPDV2JxCAaFH2eZ1BF+WttuSrlyyF89Q1TZLzX24BuZwPTFgNkv5HhQcZS1aotWKDcO8kVTmSUtMyd47iyKv8KdtmUCVdLiH3erNOUnI/eK3e1XJq+PKuIBOl3kKmErjXBaJxM+gKCTRyWvZ0uEliYa+IGbbMB/EPJsTygtRrhU70UkNT2ifxqzrLfKcsFTLu+0wfesOY+36rBQwhYc1NngNkrErd+BQZp7KCWrZuJgReYDInS5kpXgrbbflz/M+BWdxwKGJlRkgIjE4lVPeZ13kaSCJd4BSBhLCqPsubXeTh6NHUVgEnpuHh2IQXV4GyZGE5LUhgTn+02WSRUPfTVNDQnJdqFMPTaNg/+Tly0GD7dNEKqbEc0Jons6JJM+Xs4UAFu13M2kaVmVEBlSy15bsA++dRRhMz2O9q9kEmEPduqy6+LM6QUdXbrcEASp0uf24j8xtKRjAwZ5YZRYzzBSJHtXF47C7BvjTtqDB412umbjwkCPo0aY3j6gt73RLsWdchsTx4PvbVdErE0op+IqiR/GZszAu2o/DNWVpnN6GphyBTeSP4bDGye3SpUkJ4vNlsUbRfE/PQmhae1V2WGp52YxMMgoGcMAe+9EGVbcuK0CO0CSKgaqtOZjgNY0sb8FWH/36r4RqRskjTdf0xpknLfFlxfrwd3jvLKqajTnxfdGrUr05JzQ686QlQZUMAWXXnpOI6s05adKYpzSSeQGNiNr1WUnALhh0c1iMixkBanD6RkJY3ryjDvzdDpleVG/JyZ7C8N7yPZgkVOyyVOTladD8HgyrwsNYT2s3QCYZSNhqRWRMTOwrohPKuJgRrw4nXCTfmSct8X3Qt0cfkXENOVVEllPdUNaqfZZaqsSLBD5/Cp8LqZfGhaz6X7/775K5wkKTmHgawZmpExlCAyQ8juewbm1WmddTkiVGqAsLMprdY30OvCz63SaYg/I4YrgLBhB4SVlcU2MC0tZbCcAQtltSFMU7XeJYvAsFlnEVQAV/yi0wWawFvzSnPLcTspYGZ/FOFvQ8KUA+zetJAfIZuYSCZS8IJYVZFPFuzbTfmJPDUtErE0CKfnkSJjgdfkcMYGBRZxhouVLxV8bRZR3UHWots4h3YZxKDWx4HOQSdjnZWYkM6w6yzoSo3ZAV8kpkxFErCsZVeAKSJEplqrbin5GXp4XOUzAI7KjXwuJGPF/90xnReQZn9OJ8Fl1fdld4LV2aVJ5bCRz0L2RV5OVpKUQaVqahUb6QldExswuIziQ+ON4FCUj566MItNPyBX8GGwLH8P4UzJeeE5oao6U8zD6Jd6EDTNM5D1vv/dJQ4RdnJEyLaa7F+/B9Gs+klXEe3aFd3+8AKldTZMI6xC04g02y+sGwjK6LXplQBYO4Z8bFjHRS/Wkc+JRS6ovf7pW8AfOkJfp6zzFLNVfOiWm1cVlKRYYxwufPFUiiC0eU65IVaUHvxg46QrJhdkBpOzY66uL9GVsOD7/4zedFHkEcquc2NqbqzdjQGHxVsUsXe49w8SkzKmtBMV6/BtSU4BzMq/FuW6QezF4xbyaFvhWacgQLGVjEzxCaxMFXKSX+In/adidC+hDAw2lkCAeCyJAj2GMWCKRc0UfDaUrsICYFVVvRuQxNovAPzqKYJvHtD78zpMvv1/Khmk34nOWwMYwDGj0zDasyqvS1MQSlHcbnQOJX+W5LQiaJY616MKyaq+fFAF/SgXtW+9UhZZ51AQWREXxvnlvQezNY79HLl3U16sYFHGwDCfcgXNpuC90rNO3I4a1qmyWm3/I9kKwZ11Jq+VuHVeOylKTU05RKilblDkvIbPFuW4h2hYd1FtIVPJuREUfkZrGDbsp05XZ06ClhqV2vzfbzWOdiB1xiGrX91Vtc6Yg/he+reB8kgFVbc3Jg5aGXkqaCAaxRhYdwwKrZmMMkTBujCa9gRk75bksm25EhfM8+neLN/JKCQTd7gzAQ+hoqdlmCzWVCfbwLz2XNppxIBwMJN72a8su5D9dIMUE4SXBOZ450Yn0KfmkOsiK9ntGET8qXcS0l0k3jUkb1/mAXQA9fcWWpzLExrqSlk96wEoVtzaacyH7ZJKHUJ7CIex49isNn4WE8u/VfG0QQ4E40UMr3QN6UP4opNINiI0MaecvATF0w1a3DZCA4iy59aRsknOZN+C+Cs/p52JyT0DvPcUtIjiR5Fe+z1f/63X+Hf+tWQtVuyMr+SSxy3rwLrCDunntucNYRvwfveVjnJsU7bXmWlIIJnUZ6ZuNUb8mppjePSJgrn8eGVRlMTQ86Emxa/zTyV0g+e/sXPmWezUmgISfYnKwvq1mQqQmpddGj2mekG1NeB++z18b9jXdpmdURR6RdJFb5spjC0Sf4KAbbcwJniOJ9bq5P7QYABcQbqnOQ2LDJm3ex0f6xJwXIp3k9KUA+I5d4QKYS0sUkXcO4nFG167MSqBQ7AM3yxw8DkgQb69Mm2lfHJd2YHdUlK9JqWd2iJFtzjO51INX6+GFAcjlqN2QhCRgD/pcdMzFXT2DRr9qGDZ3dMHZfinptIQ3FO7GpkEJFeUP0iJsfEH5xRjaQvAUsXGSZi9ToUuaxAmTTd3sgTdBYYM8x/f3ts6VLHxlxg+Iiw44YCBkORdJGwcDjNB1OeCp2WSJD6X9/q9CqjHMoGEh/Ma6kIbPQadaRITcvJHbAkWLMczshizEpUJFhN8yMHXLjAu5/vNNWq751UDbY2g1ZkSiQHR+acsP7Sl4dh0/gJKRqNK8HkraYnQsG8X34M7aYxylZYd6AcSEricAFAzg0U5ebN+/IZ1q/JiNhb/FOWzr65bstObR5jsFMSwJUaBoHotgBbFgiqdAFDY3LefPoWhPT7LVcjXBo2pHRfSCJ79k8gwMJU8UjI44UoeV74HGo2map4z9dhmLpkRwQhhzmLUAm0VS/qE5+tFT93S//BqCAC8Am8wDhy+icF23Spu+KmzgPgJSvFffg/XqUKOR9Fl0+0mP4vuTN43mgETPebUtXmF1q41xWffHbvZCX6LTvyAh+L/N1YgcdIUvFu9F8YFZJcQ9+/kACf25pU1IkmOYZ12PC6eInr+CcI5K+mo04nIYmHZmyem4l1FNFk+j6zjiSvF20HwfW8t04lFRvwWG+uAfPQ96CLdMEr43ngLIwZuwU9WINodwnPKGRwHcXJC2eawa/LwafEU4QGXEEiW1eT0lwJHHaxvms+u4vvJDLzLo+A0IEivbb0nTwZW3BWtdszKkX/qlYKaWUP21Lhz12EGGLvgw+B/M05JQlHbbIrGiGD4870r2mdJOZK+ZZTBNK9mLik//SDN5HPb2t2mbJPaU5vXIHpqgle/V0OGkLvpTFinkqJ7TEil04zHpuJ5TXwcTCc8KSqVxwFoUyGxL0vgQWsVYY5zBhKd6HdaFiF0huxT1Y2woP4fkv6bDl3aPRPTKMgr203ZYijeGxhYfx3woP43OtXQ+0bM3GnLybZS22+M9YkJlnQKUqa8G7Wb8askQCRGrXZ8WbQhITAwbpieJ7FjvgyGSSfhh/xpa90HMcXiEWhA0r0y5WmUb1eUc8NqEp+O0KBh3B0YYmUaAGZ11SmFLqscyhgkFH9fxgt9DcHoUJUOpmXIZct2g/vDPhCR2sqWWKlIrVbMrJ3hVYdEOGRaZruQSx0JT2DA05ohYIzjqSExI7iJ+H6GTxh2gJZuwA7nf9mow8043LUrKOlrbj19gsKNqP+0Z/SGDRFpVEw0qQN2s3ZFXg5uiTAuRTvJ4UIJ+RiwWIcWlKxfockQAVf2VcUlq9zyYQbncxowruTynPbQQ0EQMbGUYRYlxLqfqnM+r1f84XMlV43FGlr42JgYuYO4bMlbbZQlMpPISFk3Ku2g1Z4c6XtWosoj4YUiJgXM4gc0IvsiUdkAcxx4Jj8ng3aCFcvPwZrRvWRur61cgW8BxD55JmuciIW4CEpnGQ8N+bF002JxfEEhvnUPhU7MT437iUUZXbLTG/cVFl55ioTun49GPsHD3iyLiceF7/vXnR8ftytkr/ZIWYSsMvzijjckaN/HCjyC2WLEcqtucEZDDmaaA8G5elhJ9fstcl2ISmUVhQUhNIuB18fwpmUnbbqTE3r6dkyqGUksKGkx0eIIji9ZywxKsSGdLyN81h9zra6KkPvb6cPvTpDTkygg1y03d7VFkrDi40OTMs0DwDjHNRLyRd4QnIV9iNLdqPX4/en1KeWwm1tAmyiMgI0tvNM+jQGZczmI7oApchaExGLuqF/KVmU0757y6oxuYUumyWa2A3T2IaU7HTEvNs4SHcp8ZlKTFFe05YIg0LfmlOitLGZSkJ/PQc01hWHZhnXE2r+q8NSlIyJwyUZDAAr25tVrC3y986rPwp/AxjP9rgdkwX8NlWbbOU8Qx8VXnzeCfEh6V9YcaVtDr6wRYVGXbUwoerVXGPLQeeol5s3mUttnRkfTkAFVikFb0ygUnHZXiXmEp88qOlqn51RjCan7yaK+cE88uJmeB49cSVCd5LlqfgOdPNiIJBvJc80LOYLd4HCUf+mJaubM2p2Jcn4b2oWVANK9Mq2u8GX8YOovnAn5MeDBq+eYCnJ6FhVUamXPTDUPNPn8CSFTgwcnJDw3n0KJ718Dg6swWDjniY8sfcwsH7bEIFZzQAosvNxCnuccllpBeaZ3LwoY3gayyrXZDuL/1zldstgSGQ9sSgRzYe6Fvh2hpI4L02LmZU3dqs4LSjR/Q6cCYnUlDiVkOT7tQo1gd4SEkHinHzZhKFky4Sq7aC6BeaRFFYuR0HxYL7UwAJaBAC7595GlNU/715kNuupEVuqpSSMNai/dgrGlbpYNN785LeXXgIRQ7DYcPjejL94gzkyRcz6sDf7ZCJbngc73xkRGOH+1z/SeFhR4oP4wLCLpmNVXjYEcIZD9nExxcewvvJrKGSDlt8KvFO3bjR+w3lYZT8hSccKSSL9+HPkGzZ1JBQhYcdme5xcudPY/3iVbshKx4on5ZF0bPntVEgkhhYtU2/Pwddah5pecEZNPOYg8Kie1nNAvxFetpTtRVT3sbmlCgFSG8kXSx6FD9f/RpMJJnZFe+21abv9qA40zklVdssAXRwn2ACu/dZ+I/yFlwFAuW2oWlHwC+EfdSuB/KcfqlYa+JJAfIpXk8KkM/I9SiGt+3dNqAD7y7AEPbCrGpclpIUUHaRqUdf9a2DKvTCrGi7vc8mZFIh4Uyan17WgoWBhBbzFFCJtV8dQpL1lTQC9c7joJC3YItWOLBoS9AaA5iMC9nHqBokuhQMOjKRaHu3TbrRHGGXtrnBUw0r09CA6u5RzUYk4Ta/2Y9O5ZmcmIaVUmI6DM5oA9uqDDaJ8+igLFmOw3h4AhsvcxUqdqFzTu8HQxQlzLBLJ1u/NqbMm0kZW5tnYF7Om8fmV9KBQzTlYrGDjiRVB2exoTc2p5CVoTd442oaRsQhHNyKXpkQo31wBlMNGtUjQ46YfMMTuiN3M6l8WRhRGYCVt6BxqHcXlHENRktfFveJuGROWdjp8trofH38MKCCM/j14IxObdd6ffNGUm34zj71VOEkUKkjmvClAwWL92GzXLICIW1kwUePoBDihCB2UMtkzmUls6a0HcXlxw8DKrBoq+/90oS0SYdeynOrzfo0zj46FWE30JfFgYuHu2i/IwGKBYOOSPCY9ktPhOe4JZMi0qsog6AMgwFpXguHbON8VgoZf8aWzbluXVaMt/SnNDUmxA/Bgp4J23Vrs2JIL2vFnzevp5TnhKV2fb9DVezCgbJuXVZyKD5+GJBUaD6LviwODgznomzxu7/wokO4JgN05mV02eufhi+lYADm1+gRTWbqtsXLUzCAz4HhabxHj17m2ZxgXQsGHdVUvwhfyX68zw2rMpK3sax2AT6ILhS2VdssMVVH+3F4CY+jwKtbB1iF13K73yT8xA44gi0uf31UcM7mdRTp9BuUtbjyJk4Mq7ZqOZoOUKvYhQN6x3utasN39qHZkrIlKI1TFO+z0K03v9kvkpu8BVeG2LAyLTJPAgv8abx79MU01ev3/bl5FVi0kbx9dwFrisYGh8dxmPdn8LVL9uI97HivFR6YMXe9LWtF4cmpm3k9pZYsT6lldYuytrEQKRhwpDlV1qozV/SEoGobivmmeqRJh6YdkStKJpIGNfhTIF+VtWKCU9xjS14Gw/DM05Cv+bIunITkIybZ83OvX5ORfBkmYLMZEh53BGLAUDz6JuhF2fJOtzKupcTj5XXQXCreZ4tpnsU+gR0kTtWty7pgl0l9uF3EAbm5el7t+n4HZIknLbV0aVIaH/ljaCwtq0NIMOVS+aOuLLm4B+safSqeY7ivnmNYT5kWXtyDZ5RTJ07fSbmr2YRD+opvHpJ3LjyB+1HaholGIGmLAZ+NoUBSg0FmHcnTKRjAess8EHrcIkMoNB5tWjya2+E5gZ+jdkNW3tHoUU0W67XlnEFYDotafwZTTnpK2JCIjOBZih1whIz48cOAit6fUrEDjvrG/wiKTK2xGWtB3vNzqqkxIX6oslZbJLtEA1dtzalw3xMJ1qd5PSlAPiMXC5CbHxRiRLobWRkcvcf6HCGuhCd02utV8O79dxeE+028ad6CLUmvRPYy6KfqwTDG7xpVWrQfxBSvbUnn0Z/C4tHUkBB2/du/8ImprerBMOhFjqWW1SzAeNiLhYImcXpHGJxX1IuNq7Td3Qz9aeR0FB7GoZUHkdgBHPrY3ana5h6GKt4YAdJUH9gpYajegpA7z62EqluHYqTolQlJ7K7dkJX7Qo0405uNSygsHpXULFkBPPGKvCFBu7IbZ57S2uZrKSCAe23Z8GVhPoLiw2tbgtQt7rGlKPHcTijPLT3VupQRMyzldEQcMlSw/ml0/oJz2NiovQ5PoIAxrqZV6WtjSiklviD7p83gy99ZlKlJU/2i0HIKD6O4IHnMcwuG5OJ9brI2ZWEFAy6pJzSJDjepNf6ULYnWteuzbrGzMQe9+XWY5RubMalj8Fb+SzMSHOd1cDgkFWrH9zqRaq0NwZR2MLXYn3bNvtGjWnLUhYNSU0NCvBycZEi2jcZTKqXk/nuOWa50TtOggnP4Pumjql+TkSyZyIijen+wS4LAltUhGXj12304YJzEIa+sBffDcyshk7Zt73SJnMOf1l1YXQRUbUN38eOHAVd3rgP5aEReXj6LLuXGnHTnK7cDV8mUeAZ9Fh5y5UecQtDX4svWcJQyAAAgAElEQVTCvB7rA52oYidwr7Xr0UTwnPjjAoRTT/N6SgpX+jFK2yAb5IGZ/ggGhxX1Yvrpy+DdYsZHeNyVfBEBzUKedCfjPBod9OjEO235fo0LaJYwHJHJ45SWcWImqfU3kjJFIm6W6fBVD4YlXDB/DJMG751FFevDobF4H7q8fFY2fbdHFR5ypKhQCt6G2g1ZQUkvL5+ViYp5Cp8bMc0MdqRElWtl7ICe4nRqM++oI82YLe90S3I9CX/xbjcDI3rEEepc+R5IbWs3ZGXCWrs+K4Uepw7xLnwOK755CFTA0znAFxbd/8Y1JDiLZydvAWtw8u9XKa+NCSoLJv+9eZiF5zDRDCRskTOyAGE4q3kSUp3G5pTyp/D1Cg/jGYt36/1Ed8OZfWWeybkZJgOOQA24xlQ/GBbvyqMSY+M8JIyFh92iLnoEny0TwsMTKFaJUh/54UYBQpS22yINLLg/JdJGJq5zmuG9syjrFSf0FTstQBOytmR1MIfKPJUTulVwDnsmr9gBd9+g7K3olQkUC7cTQnyjyZueUaaZ5y2g0VHUq/fMfkdM+tVbco/9TAxFpLSTwaYFmhRHjDN9UHwuKbdjUVkw4EhzJ3rUkXemaL87IS08rCWuxyCjJFmOSgFSLfPHHEH9Vm/JSSOsZK+tllRMPClAPsXrSQHyGblYgBTcHZIgL/OkJRsSTW0d77Vi7K9DjXgAqdqaE3lMWGdHsFPBECRmHphn0GkxnkmLkfvMR0tU27ttKpCwBckYGcFCTFwlOznU4lKCQEkO8YM8pHmfhdnYa7l4Tk4ZmC3itdG9bWpMqOAcZGIcfUePONJRCTw3L/eKspLCQzjklu+xpMuWP4qF27iQhc/FxoHOuJhRPT/YjU61ppSQJMWvRTNcwSC6P+FxHLA8t9DRrt6MQxUDo3gYrtxuyeGHadaeWwnRbNNAymAsmoB9+jBMqoh5HYhUX86WvBWG+HmOQ7pTstdW7/3SkCyN/FGdRKslHOZZbO7mjaQ6+dFSmBFvIojRl0Ox58vaYj5875eGaI7NMzkh6BQewrPE7BjSlyLDKGC9Du47N1KO2Jk2HjuAA3zhIRTGJa+OCynLuJaSzatg0JHDXsPKtFrxzUOqfo0212tjOtG5oWnXBM8NLDjjPJbwyylCUwO039VbcsK5J4GnZC8mXkop6f7SpxA74ObbTP94HTbeI45QzYyrkANF70+pQNJWFW+MSPq05JCcAhGIhQsJNCyU+DkUHsYz3vJuuyo85E6h6tZm1cKHq0VCVbMxJ3AJ43JGffwQ+Rv1T8N0W7wPmzt16p7jlkz9PMcs8XyEJ/DuFwzCQ0b888gPN6ry3Sj0Qy/MSuhpePyPJVgyoZty8xf4/BmXIcfwp21Zk6oeDKuKnTjs0GDLRGceJtlgiR51VP/7W6WDnz+G9zAy7EihwskW/XGBRVve4fCEmwQeGcLzFxlyRC6ZP4p/ZyK2cQ3PFbNlIkM4kNWtg7SOsszyPZbQ6woP4Xvy312AXE7nXbAjrpQSiRnfz6pt8C/NfbhGGRdwyPJlUZhRMlrabkvQaEkHCteCQY2n1gZ3ErUiL0/Lz16+23osX4md95K9toAjSDQLPDevtrzTLYdh77MJ9czPq+T+hyeQyl6+Gw2B0jbX40UE9opvHkL3W4cWcpIXnsD9Dk26/pLoUaxbTFCn14+ZTrmfPCVIbUp7KHMt6kWDrKwFaw79OkSnE5ryVOGkrDHVD4ZBx2q1RRpKGlrhYRRQNLNzolrajok76WJssoQn8J7mLUA+GUhqqtzzc+K58GdsadZxH413uoUQJyWUoAYSWHeqN7sHcIadmjfcZmD1ZnhXePkzthjYJfBUo4lrNubE11jajsImNOkImS920JUXc+0znkkL3pyFefkeS7xYNZvQGCrpwP3OH8U67svZsuaSVMYCsPnNfqyr2y2BDhBUQnJZ9IgjWN2yVtxPUh5ppPdlbNX//lY1+MPNmBzPQnpZvE8HYc5iz2cDsqD7yQTk07yeFCCfkUs8IJlFVfVgWGRQpW3okpa/PorDkY2NIzKijdy6U+/P4FAfGcICxUWr4P4UNqAraRXvxktbud0SjWz+KCgjkREsXGUt2OCCc+4Bkp2NpsaEKumwRd9beNgRbrfnODYP5hoE55zHtN7c6MIvzohMRigh4zgYUS7mOQGUKjvyPMDwyluwpcApPOw8lkzOzdE451KAIiM4cJ35aAkS31+aEeY76Rv5Y44gU9ltv/EPlZgAnM8q751FociQOBWccyT5lj8ru99ey5XGVOx0E2FL293gtsiQo/7ul3+DSVDGDeMLzmBzDE07Iltqrp5HYTKHn81rwyMTO4Cvs+Kbh5TnVkLoTp7jlhjI2Z0u7oE8rWDQNVD7M7b6h19/HlIlXcwQR1q9BYUqDbicjOQt2BK4RxlZ3vNzyrgIY2C8UwcMzjuiy3/pn2J4rm8m0S3Vfh1SlBiYRlIXJy3cdIt68blRu85E3Yo3RqAF14hq351FtepbB3H41AV5cBafIadCpa+NCdTAuALaD0MjqUFnqr15OifhiwwKpLSQhyVfzhaUat7zc8pzKyFFuj+FZ3jJirQQeB7N9iDFhlp382ZSktKDs450WP0ZTJjOfLQEGUFajsSCjocPFsSFhx3JbiGowZfBYX3X9ztUtN+RRG4a4kkTiww7kmz+ySsyhHfJvI7chrJWrE35Yzhsxg5qxv+ZnPr7X/21wCCqN+fk7+Shhz4YHq79afyMDOqsX4PpHhGfLAaWrEjL88ufl4c2FnnU4jc1IqnZuJSR0Dyua5Ry5s3j0Ol18M7QrM0OOL92yV69zg3ow+m89pidyqnJH39RNTXg0Oi5lXCzhIZcClL96ozy5Wz53MPj8Pgx3JCUo4ZVGXy+u91wNq+NojqwiL/Xl9F4ZceSzz6QRFFaszGnli5NCn62coclU0nCDYwLkCOx8F6yPIUJ+jXI+4h/53SQPzsLjKb6RfGfle+2xMfny+rCOKfzLQ66JLqqB8NA514CAKJ6i5bEaalpZBj3q7Rdk7vuzQvallMDAi9ifZDuUUob63ObXsbVtHhkSGuqWwvPBwEPvpwt8ISqbVinCYT44rd7oQDQUq3yPZYyr6fkM2VgJelQxqUMvBb9bsgfp2p878wzUDKwSPEctwR5z4T3xuaUhLw2rMrIO+fPoInVXD2v/vA7QzC9NZvgi6jejDUqMoR33p+yXfKXDgU1rqTdKUePLUhlX8Y1+hf12iKfrlsLORvJV5wORobcAM3ifWiwGFfSqqzFFmgHwQ6EGtC3RYhO/ZqMWtqUVJXbMQ1jJlK8S4cO90G5kT+KRsGjJMPgLD5Tzwk8908kWJ/u9aQA+YxcLEAqXzqETfekNqJSg/5MWhZDmosDz+nsBMcSc9zHDwMq9MKsGAmp9a7YiY2VHTuvhc0mdlAHCVrYMJbVolvj1zIJ/715Maj701pu8dKMdMfYAYt9eVJd+XmN0KvY7YiMODJCZ4GQP+aIcZKyiHi3O7HJH9M/7wuzquHrAzCrOa4cxH9vHpkcOjWc96pgwBHaBkO6KAkgctG4is4Mi4Ly3ZYQo3x3FlX0/pTyp7H5mddTIlUgzYekH/OkJYFbxhVMkmJ9jlr9dp/yp7A5eB2kXEdenlaxL0+q4Jz29egEaqaZey1b7p0/jY5cY3MK4AGdSULuu3k9JR1oBtVR31zahtG/UuqxxGfPMRiSz/2sAehf3YXlBsWJDL0iTY3wEFVvzknYIHW4LMIqdmFKFj3iSNYK/RXF+1xfQdVWdOgYGsmpWOff7hFjvOeYpdI/WQESTsblw5vXUxKkFprSGQ43kpLsXLs+i3fEtiQ861EpAv0B+WP4Z/BLc0ha77GFMhOccSRYkd1643xWJCWEHfw/vzeV1wFRKziHg05Jh4YWTDoi/eP0MTjrghCYYBw96qjb/1COn+1UTvIiiHZuWJmWw9Sy2gXlT+O5qN6SkwNzeAIH+NI2dJUrd1gy+ahbi2DK2vVZISH59QFyecWcKunA88Z8Bl/OFnoQ72HB/SnJZmCw3qNX7YasUOJiB/CZ5o85Eq4XnHEEScyufN7zc8pzDPeVGvR4py0I7rJWdLurtqEwY8eaBQulPgWDuqDTxTX/jqL9tsg0i3vwni5ZkZZsDco2qI1fVgMfhtdyc2ZYeDCkjp4Y5szUP51B6JruhFOyZ15PqYaVadXUiEaJUkpwyyUdtshpqjfnBC9snIMUiWZ243IGhmIL+RIFg7iHldst8Zxx3SdK3ZfDOxacwa/VrcXUhgnx0SOYbvFzCixiGksjMFGtLE6Mixm17Z0ueEdemBUPUsOqjGqqXxRfC6ez0aPuZMQ4B68AKYDm2ZzIfGQ9TdnS1KKfzzyVk4KMB8uKXcg78pywpAAiFbFkL55XEp/Mk5YybyZFNlu/JqO++O3exzxtxT0aiqEzg4p6MVGpXwOpZ8d7rcproev+KExBDPVTGjxyd0HWU/+9efgZj1mCbOa0gYqFurVZCRYkqIFp6EwL57MU78TvqVuXlYldWevjnseKnSi8OQ02z+TUtne6lFfv8ZyCem2EWLKA41pB2pjXQnFCM3rVNkskWGweciIdHneDiCt2WuL18FraeP+MRjXrRldRryZY9brS0niXrTr/do8yT+ekORicceRnKm3H/l25HeRFUtxIbSsYwPtHFUFoWufR6Kl+9Yq5JwXIp3g9KUA+IxcLkKLdCXQ8dXeQlJeyFnTJiJ+t2ppTbe+2yYbkvbMooT6cWLDDHO/Cgl2/OoMkVG3WNU/DF2JczCjvnUUYZ0/llHEpo2JfnhQKVuEhaNypzaSxLfilOTX2ow2qahsWLhraov34Hte+fUCQu3nz2FRjfY767W8+jzA1HdxG7GNwzlHf/YUXhvQL8Gv40yiUHpWDcHNgYBSnLyxmqnRmBnMpPLfRga7aig5+cAa6ZJ8mcBlXYez0WpDGUHdqnoZM7V9++9cYeevOaeM3joqxt/z1Ufz6YUfMqMU9boI4u435LyGYLTSF6YbnGDah0tfGMOXKuEQfhuQZV9PKvJEUDGu8y5b0YK9lyxSGlLPIELrhSikV+/KkMs6h25Y/6ojsKnp/ShDMBYP4XjgRiR1wJFW66c0jcjiODOEw4TlmqacKJ1W82xYZxNu/8AlykbkKxBk/ihUN6xA94xoKqCUr0kKpCs7g++PBigeNaL8j32t4HJt/WQtkTx3vtUrxxpArBl2yoPQcwzPJYKzoEXw2xgV0g5VSklPhy+KQW9aKv7f5zX7pMBI+sGRFWvIuWFxX7LSEhR9IatnMswnR3QeSOAhxgzXOZcUcWrELhZdxGXhQ83pKkMkMvazYZUlae0mH/dg0gLKOmo05mZQy36Fov9udLG3DFMa4kJWfvagXz1ztBmR58NkmeYmZBp+8SMgra8EBgtkoBYOOavj6gFqyHOnaV35eg9wKbWSOHcTXbmxOSZp59ZYcDjIXM4Lw9uXwvBb34Gel+ZlyR05POJkwLiMv6KmiSRzmL0CyVfTKhMp7fg6J1Xtx0DMuAaQQ7deQgUOOoMhjX54Uulm8C91e77OYxPDQ67mdcKUfAy6WlGstKVixg/januOuhJbT5+CM7gxrYy67+aQqib5dy7B6frBblXTgQMuJYMGAI7lAHz8MqHg3vn5kGMjf/DHsFzxY1m6ArI9rRWga0h3PrYT6+GEAvpZOW/3v33sx7TlmySF/Wd2iePMIKeCkt7jHVt5nEwLwoOQwPO6SoDy3E6rijRH4mEZQjHtuY1JEeAUpR0X78X5wIpI/hoJzecWcJLJXbtfZSLrwrX/azb0ITTkS2Md09uAcPtPifRpTrZHJkkVzOYMsJo3VZfFRtVXvhRqyYp7BRI7BrmxcRUZ0UajVCBU7LaHOJf9+lci8CCgJzrjULRqzA0ndiHo2IZMASkSVUig+lgPuwX27ZiP2Ms/thMgrPcewBlKKy3R44qSLe9zsJ8q8vRa+F3qvfHcWlT+lDd9a9voogYx5OSyoq7bhZ4+MuJ4afwZrbFkLnmH6QKJH8VwY11IS3ktTfnDODZktGETRUdyD9Ymysngn3uPiHls+U+PS1JMC5FO8nhQgn5FLckCmIRlgwJE/Y6sd3+vEGDKNF59d99A0NhxuJMaFLA4lz83D8KqRk8aFrDKupN0MEY1DNM9Csx9I2mrkhxvx/0/lROfpy2GhDSTdZGV/2l0AzLM5TGtOo8NonMMm6buziA78iJan3J9Sec/PiVm7YACdFc9xyGECSR0kd39K9PHsyOSPYhpStTUn94omtvLd6Koy1Kms1U2iJdKSGwCxneb1lHruH0uQfaG12IWHcbBhZ5Mp0+Sqk7FvnMMmXtrmUoPinbYcQAoGXB20eQYTEBpM69YiiNA4lxV9eEmH/gxuJoWhb57KiVSE8piPHwaU91n4UChva/zGUTHf8yBAo7dSSiZelTsgxwk8Nw/0bUZTcgbxuVGzyxyO/FFHzILE9datzcoGz6R5Hhjyx1BMfPwwoIxrKQnH40EyMuSS0pglEpxDwUxev9fC91+zKafe+kVA8kA46QvOuAcaUogYcBbvxj0MzjrqX37712J896dsCTk0zkOOZ15PCcmKRtjwOIqBggEcdjgN4kGaUwImAldvyYmx3Z+xH8uWIcmotB0oSnabmQtAz4fndkLobNyEA0kU1KEXZiX4kAUyzejc1Iv34ZkLJGzJRuFh87e/+TwyGc5n5RmKHsHaQWmWP4V7Fu+y1Qe/+oLyHLekkKeUMZDAAe6TV3GPLXQxTiQo3+MBiRkXoWl4c/hO0lAcnNNBeS9PK8/tBMzoHa7HQ9DXz2CNK21DgUTEMQuUQMKWLKTSdnw/9H+Utdhi+GdnOXoU78HD3/4VDket+DPxLqyr1KTHu7AGMYiSfovSdluog6XtLuY5etSR1HSllFDcCgYdtfytw+rjhwEcLDvdLBRCBJj940/hM/VlXGrfxw8DqnZDVr3+z/mS4M0pL4P2OFljvkS8W6PIdfOAXf9ldYvwA9yfAqhEG+K3vdOlqh8Mq+KvjGM9vZQRGZ3/7oJI5lhMRY84MpmvXw3PDw/gxhVAUlrebVfGOUwvSDOr3KGBJHOOFCA+be7nYZ4Th0DSFokusz74vvgy7ntNyVC8G58jn8HoEd1Q0VlJpW34uk31wIJzXarekhPcNmEulMtFj2gUfcotSCJDjiSWMyg43mVLIUMaYnEPQj7ZwKvcoWV9z6QFHFG+x5JJEsNGQ1OOuwfcSMo7Fx7X2UdaGl27IauMSxllPIMmTu8PdgnqmYAPkgW9jiXZOoWHHNdfSS+Xxjs/6snjtMHrWBIWHB6HsiAyjPtWMID3Md5lyySXBSL3WcpgjYuQVbFxVdqG98CfstWKbx4SfxazQOgbJQmR54i8eVdFQRLjF07PPilAPsXrSQHyGblYgFSsXRAKh+dWQgKEgnMIDfOnbNkwfDlbjMM8ZJJO0vJuO1ju+s97jiHAJ5BEJ5BTDBJ96AFhwVJ4GJpT4xnordmhZOAbOfiUw7BLceXnNVLAUMMenMOGUNTrTgai/fBglLVgAmFcygA3rEkonuPQnvpTtmhWebHQ8t2BX8Y4B5KGcSGrNn23R+go5o2kMk9padAJSGpoEmQqe/6oo174p2JVud2SwCqShPz35lX91wbdZOt78yry8jQ6OJfgfyjfgy5SaTu+LgOleDAPj2PDznt+Dnp9jUWNjDhq7dsHcEC+mFF5z89J0CA3t5pNrifFPIPDbFkLNnPPCUuCG83TwCMG57CJKaVkgffdWQRnfR4bSIE2T3Oz4CGL2E4+C4FFW8b3lTvQ5Z/+8ToVmsQkLTLiHsA5tSnep8lrI64cgYfDkr3o0oXHMaGq3gJTf80mEIFyP3lKJDsM4yoYcERXHZrEhvh//+4LOIxohKN5BsUin+XgLO43J4MVuyzxRPnTrrm5cjsKNWancOMt3mcLbcq4DIlQ0SsTIlMqf31U0MPMZyHalUnq9WvwDHgtWwr5kg5bdOk8MG74zj4Y7rWPiIeH0nY8p8wtKG2zJd+k8LDbiKjZhMlH/eqMUIG8dxZFesQpVNXWnNzL8IQ+dOimAAvxWJ8jUjmmivu0nO/RK28e96h+dUYZV9PADOtMnaoHw8jGydgyffjfv/cq80xONVfPK6+tQ1MP6AwXXSBRTsbsjOoHw0h035wT5G3FLksIPiUdthDr4t2PZ8MEZ11fC999mrHL9+DeBp6bV4HnIKPh1LF+TUaSyf0pHKqYgJ0/hueH5lrzpGuqZ2efAY9KKVWzEXI0SvrMk5Z6qmgSePC98HMxFLJhZVpCFsMTKBwZKskMD19GE/C00Z1rCgEKhYfwz/rVyHQpa7XVU/FpFX5xRvCozCyKd+L5Dk1ielC8z1b1XxsEGS6JwpuhhJU7LMmwiQzh++CkM28B33P9aoTENqyC94QTcur4GUIaWHRla1yjOBH2Z/C+k8oUGXbEGF7WquEGRxwxxldt1UQrZudsg2eQh1LzVE6K7oJBPQWYcyQRnN18yppYvFbusKT5YVzF5LD4K+MyEa9bC/gAYS58vzjdYuHiOeH66IhH5mGe/iKCVfjM1a+BnLj5zX4JHeblT7sNjNr1kJXVbMpJZgyx9lVbcc/q1mUfCw2mpIuyKIb4FQzg33kPq7dgkrlkRVoFZxzVXDkna2PVNj1d/sq4+ILotaKUynMcexJJXsX7bEFmB2dQ1FZvyamlTUnxyFRt03limtjFzCqqCMRnpvOrIiNuUzDeaav6huknBcineD0pQD4jFwuQ/P2QAOV+8pQKzjqSoeG5nZDxcM3GnGg6/Wkc4H1ZjNabGhKi5S16ZUIkKeyeFdyfUru+36E8x6Ev9qd1HsgZcMhJ3jEuuFpvf8oW6k7sgJvKzA6xcS0FyYLthhhyusLgQ9K6en6wWzU1JNBZbkVXw7yZVAff3y4kGyJhjatpdfKjpUDzPUIFCU07gk981L9AmpV5Nic4Xx5ewuPoNvOQF70/paq2War3B7twUM/Ywt0n0Sh6fwoEIU36OvrBFlWx01Kr3+4TVnq8y9X7R/uxAXF8HUjYcngJJHEIN0/lhODiOWYJRSU0iX8alzMIhZrAhs+cEG7E9AQRCcsigfhe5oCUvDquCg856le/+bxIU8Lj2FRIvfKnbdHmBmfwdaq35MSkz2cgegT/jV32pvpF+RmMixl0sfX3UP76qJj669ZmJayKmROU5IUmXYkaIQFlLZqWcyEr97O4xxYjOOUZAgawseHVP51RzZVzquD+FKQAN5JAXup8h/C42wVlkROcwyGIGzcPJaS+hKYcSWX++GFAEpH5HDP3hVQndjC9tiXQBx5oSGgb+9EG8SdxauFP20K7My5m1PLyWdzrNsiRCgYdMR9HhtxCvqzVFrAAyWU1G7HBU0ZWcH8KEjP9Z42raUw0E8Dlem4nHtN7GxczYrAu6gUw4pMX/V21Xx2S6QuDy7w2vDo06xJ3HBnCAZW40tgBR4oJmkuJrfUcw3MZnIXshx4lz62E5E0QzRwed1T6JytUU2NC+bK2GvzhZhX78iQma/qzJwo5OKflP7cSCFx9Y0QKlVgf1gkG7cX6HMmniPVpkMKU4+bL6HBPZkRQDkK6U948nrOmxoTI+wiYYBJ3WQvuC9eH/DFHoBXle9xkbWbTGFfSQjojTdBzHF1xpozXbIKkjehhTraIDq5fnZGCuWqbJZOp4Cw+q2g/0NqxA46bNK6lojUb8fnyucsfdWTqHu+2BQoQSMCbJRPl2wk0ZEYdSWbnNDverT0kuqET79RhfFoOSNhEaFp7D2z4ZyLDaF6t+tZByUJiKKU/Y0s+VGARBVPlDktAJp7jaH5xYk/U+/GfLgNWXPvPwuNaUjvhNuTYkS/fbUnnn2snqYnGhax4UPwZNIBqNuUkKd48A/nX6rf7VPUWPe3WU3LzJDyDvowtkAyllDs51g09BsLyPfFlIfMMvTArUibPCbyb1Vty0rzhGt5cPS+BwUT2EqNfuyGrzJtJFe/WeU997hSzqNedYHBPM55JIwDzFnyDxrWUEOXKWmwJowwk8Bz77y4o7x3sH8Z5FGLVD4bxtS5nZO1ggUGAR9F+/DoBNPTumYnFJwXIp3g9KUA+I5dIsMbhI/Bp6hK7DAx8igxhhE2dqXkzqerWYvHpf3+rdEcCz82DTHNCd6CS8HowSK1gAAvsc/9YgjHny9MqsIgFwzwN/jslFLGDWPCNq+iMkATDXBHP7YTLDD9uSVeauQ4Vb4xIQFJJB6YoTN6lXr6sxRZvhP8e5EJeG//uOY6fnRdJHyTBsPsenMUGX9qGDimN6IWHsNFWb4HspKwFf8aX1ez9OW1S1zKh0jZbEKbUGvOAKiN2ndLN/I/gLBbfshZbAvQKDzniXynfjYT68IszynMbhyBfBh0iygrMm0ls6Lqo8Vq2yBh44PLfXQBx6pm0qlsL/X5pu4uBLf7KuFJKCaaXBST1uiV78cxQ+uO7syjaZAkT1CGTDJ7yZXE/ar86JNhcf0oXjydhLC9tt8VUS1JUtN+RnI5AEoeRR9Ga0aOQyDD3peD+FDIITqHgoASpuMfVEq99+4AqeXUcJDDdXSNFTSR757OqZlNOJC2UpESP4HBD2YVSCjktjuUax68he8A4l1Ur/YNi0gyPO6rk1XGQj3bhMEOjdnjCPQQUHnYktJLoTPNUDkZULdlh+F/DqgyKkUm3sOChp7gHn5kva4vZn4QnkrL8dxeQ+v5sArIobVYOJPH7mErd84PdYt7035sXpC21/IReeB1MGYKzLtnrk1fhYUdw1AyzLDyMAxgzD2o25UQCap7JiZwmNI37QX18SYctFDEGlBGpW70lJ9MHBroxkdlzwhJinT+Fn5GGdRqzI8Mg6DAfhjkNxqWMan6zH2udDgP05WzxggSS+Pct73TDA3A1jXIP22IAACAASURBVAOUlqEyk6GoFwdBSm/Mk5agwtlNp5cpbwH3dO3bBzCVvg56E6cH+WOOK63V0jn/3QWZGrIQN66mxcBcud2V5PCz5BpAoAeTsEvbtERTNz/YgDCupiFL2q+TsbX/p3wPYCTlezC9Ma4BgTv4w81Yx8fcjBmuj8ytKmt1/TC+nJZB6QNwc+UcsituuR6Qkg5bCpHQlNb1X8yIl4JGd6KH856fA9HsJCbxRMtyys4mAQ/slKmS+FTaZqvcT54SD6DnuKUav3FUxfpcf0regksXo0Tu/2PvPZ+jSPPs339j1mWWU5VUVaqSt0gI10BDM3gnBEIIhBAySEIS8iqVr8zEew8NNHTT3bSZNtN+Z3qmx+34mR1v9rfEjbhx39yI+2IjiOe+OM/5Jj37BxBBqCI2dma6EaWqzCe/5pzPqduGPx/rhZST5KaaVsjpKjrcLVvRPO5jEhZ5ThHUQORxxT58P5TGcoDHbBq++J3TG8ntWPl+WyROtdtdTHS8W29cr0NZwODhin22DJS4NYwMueGypX2ObDgr9tmSG8T7tCiBJopyKfrWKvfivljWMK/M26BbBZLYHpXvt8WLSdmWcSEvhn/zHIY/ZV2QCdZts8Q7yPNsaUtKgCwV+2xBKXstW/mmF5LQn+VroQF5Tl5sQMx0UgySH/4ppIpenYPRVxM0+JAqHtda7tvALYYezsLj0YuHyMriMSFRxbttQdXSSFm/GYfhik/7BW1Y9s64mIJpYuMqde4Xa2XFvaJqRhUl8JA1rmaFiEIkKLXq5mlIL+q2FqQY4JSPycnmrbSq6LBl2lXeiYKTqEkW3ZFHU/JZ0SBrXMyrO7+rVtW7LOHS1+y0ZH3vOWmplmUZweUylIkhi0zsZqEafnNathGccHrvpmDS14SWmlZMq0kPo+m+phWm/OBrcwj9GnBlTNTjUqbCh+f//V//rOq3FCRBPjjnmt9L+2GEfviHMkz8r2exQh/Rjc3VrIq/PSESoeJxFF+e45AWpX+5Wi3/ZEDoKCwcmNgdGXY1xzRqVrYjNC2QskUnzkAo41oWzZOezBoXMcmvaUWyuj9nq2M/2yCFg+CK7yeEYGVcwNrfc9wSkAA3euERTMz8r8yrpc0pKfZqd2BaWLFPh6wNYjq9tDklq3vzFhqq0j78bAar1e6wZBJZlHCkuSvvRMGrlBIZW+12EHVIjvO8nBL9e93WgmxJihKO+Kdo6G5cn5chQSBlS1Ef63GDKXkNMhuhXgfesWniVoahn9y8xN+eEKrYk8fwxxCrbFzOScZO9XtjEli49JMjQO+etKQxoYyRicihSbzH4tdnJFSTzR7zUCgpevrly9mixy7vdLG5jevzMr0tHsfntGxRUjaPXssW6pRxOafqtum05fV52aR6Lfzd9HoE5xzJ8anbZqnVn/eqQAoNdyDpFv/+rE5b//CoEPY4LaU8jNthYkmJHK7o0HAGjQOPHca5Wn4ARXn5fjd92jxlifeKhmFSfZY2w8OklFLNq3OCz431YHvwzX/vFnztk8cBFUhiw1AypjeEr83hzNN5FHVbkbDtOWkJ6YrvPZDEJLp5NYY7ROwGkigk6T/hljN6BNuRphdzqu6DEQys9DnPKTr9axzkMIjQn7NdH89bk3imTOKs5TbGn9FDEp1TYt7MIKSz21Zv/CEmG5vIsA5z1EMS80xBNg7L6xMqOoj/z1BdbvcG/2OLQEl8BTQFlCi3LMuIl81zEo0HBy0cUhWPu16L4By+e3o3gnOODPm8DrYG0SMYSJWMORLsx0BSTt7pZSJtLziD+6FumyUZMpSmFo/jZ5vnsFHynERDwiwPekr43G/cAH/g0/dcxbvj2Nb1OJKezkab5vqnaW5s+Dno4laMm2Emx1Oaxg2h10bjFZx1YSKLXkKmiOekDr3sRDNacgxBnJSi8h5+ejOytCUlDWnJGJpubrU4CC3vdKEXRPovr09gMzeIe4L5T57jaPCITfeNL2B4n+VroQF5Tl6C4V2TAFEjhQe7eDSOugasogQmLZQulB3UAXP3kphWt+LBw6wP40ZGUqP9WTzgSMuo3W6JdpRJ4eGjKHCIzWteDd8Cp+3hUZ1gfjOjAg8SquLdcfXkccBNLdWaW07AjetZ5Xk5JdKR0n4YOUW3rskp4RGQdMq6bLWsYV7kAkUJHFZ8cTrFtW10EA/BolfnZFodSGIS2/zRkJC26rcUZIoWPQKSjHEJxC9mKwgd6MOjou325fEz490w6zOwiaGPx362Qa38rE+2RjWtLh6SZJbooG5SdLJ4IO3Swqp2Qx4RnNEs97to1pgOHxnSoW/vj2KqdQ1eHl8BJj5O5Zlor5QSXwRlFKV9KJLMm8gBeeuPUVwHehvlz+KhFJpyHySekxYK4C48kGimNU8XRHe+5csD0OtvwaSbCfPho/o7pl7+sA4l09NdaQ6y+Hy995KCa6WkpbwT15svr0O/Rhz1zX/vVs0fDSG0sdN275UTKLa9li30sqIEPvv4Idd/FBl2BMSglJKHXskbMyp6BHjgmlYUmsbFPHwSPW7YJBsSZlAwnTs07QjHngCGxg15Vd1miRyQmNLRn27Ehk5vOEnGWtYwr8yzBeU5Adxv/JAttC9/Fp4CyiEZdMZCOjLsyOcZPoqmNNaL3y2QtlX87QlslrScwzxTkFyFRS/lv0bci/XgM10ZHPlf59SidXkUwO+PYtuSwt/ZsMndKC6vhZ/Jfz+hAkn4V8ybkLcQr1u1xxYpDfM9GHZnXITWPjiL4iferXNntIyQGzHq+9n0ek6gyTeu5FzIwSvzIKwNYVJM8231Lksms01rcjJdrdiHomnRurz669+/IT97xaf9qijhSBYB/WObvtslklRSw2jejh7B38VmrW6bJe9r8UoUaPavl6MBy2tAiCYyVXS49EL6dhjKFhlyJP+I4XmkkZX243dr2Ih/Rm8PG0dKa6IDuFdpvq/fXJBC3muhQWdY5u/+9g14qHJ4thg3MkI2rG7Dltu8nVbBWe2Bm4KkjZsY3oPBOZcYppSSAMjSPhTBlO3QZEzJauOGvGwOicWt3wwPGdHwJNyFpvBZxt+eEMkhG1kOtujXo4ejag8+m+JxHYqqCWtN3x5GqGMHzpTy/bZsV2nUli1Op7vxNa5lReZn/3o5TPbvjKvYW5PiZSCm3biSk+0uz2l/xlYrQ6Nyz4UezkoGEzcExnn4HVfUzOGzf21O7ofwm9Ny/j/4fYWKPJrCz72PZzXBCkRRE8veuD4vMmb6NmgQ5/O7vNNtNItfn5FrlB4TStHCIxgcVu61VfZXK9F0TWmq4ojztUDFhk0FUR8wxJHn2+KVWRlS+TO2UDz575R0LzQgz/K10IA8Jy9JQt+flumredo1rTHoqGq3NliewiTUc1zjBK9mJQuDRUfxuKOavj0MzOYMCovSPkf1/HiH8py01Bt/iEFXeyknkxRfAcUmaVfGlZxoZhevgBGWAVCUVDAMqnFDXgVSeOBUfuuY6LdL+3DgGZdQnMW7bdnO+O8nVCBty4SFnoQ1XxyWoDTPy5Du8BWcQfBecAaFZOVeTHaiR8Cw995NiTad2ESaL8//tlm99EWPMi7lRPbBAqS0DxkE1CyXHcTv0fzRkHohPolpr57AbPjOQSm2zZsZVfHuODI5GOS0Li9SjOIJPJgaNsI8Wa8DnZjVUNHhyt1KjjmCDK1st9X//LdPmrq6D0ZUdADfYc37o8rrWPJgpcwsdth9uBtXcqppTU7Vby64YYfaGBmcxeYg1uvSv0hBItWmcUNe/eZv/yQPpFiPbgy0FIbm2eCso+xfLxddMcOq6rbhO2Fid7HOeKlsRzFNMlVoSuMlzxUErUr6V93WgviVjAtokFuWZ5RPa72p+S7rwvTOuJhXqz/vVb57SbVsURI67JzOidhaEHNl8QQ+J8rdKJFjgjOb8dCkDu4aQrHUtCYnhSXDCY3zT4WcaRINg85qt6PpMk8XRH7CwoXm0vAoCstYDyRCJO5wcl1yDBPZ6BF8fjWt2CLQSFreqZOoZ5yvEbuqd8HDwOabAwk2UJSPlfbj7yl6dQ6hY922fNf/+KIRuHjC3cQxZyI4i2vcuOyeGWz+eA8yNyY46wjNi+jmho1uqrg/YwtogbIUFh/RATcHg7+3L2+LrJD44vAofq/yAxq4oe+PkmNunhIHCf4silIGonb+sE1t+3K/8uXxZ5mrE9UQB+NGRn3vL6ZIuKKD+GdKKWTetEEyVtrniKenbpslAX+N6yHriQ5AbuYrwD/VuAFErLqtBRTRV7CF8To61f6tSfkZbIY4/eb74nlcfsBNm/Ycx7VZvh+eKb/2l0UHHMn7IJ2L2+niCbz3in22AAsCDzAgW/PFYWy6NSjEuJgXFLVxIS8wCwbncstAr5tSSuhMK6pn4b/JunQ+fneV3zomsptYL+h5lMQyvJTBfq3f71DmrbRAQLwOitiuH+1SscPIowmP4P4hLY2ZTsbFPLYzXfpa3Y/cIKLlmVrOJttr2YLHZuNWtxX3Hclz5rmCgCj4Hkv7MPgyb4P0GB5xr0XjehZ5VHlbMOFKKZEWN6/KwkM0rTfqOheMmGQSxEr7HcnmME/DD8kcD1/BFriBeaYg9yc3pFQImGd1c/cU3XFF9aw0SHzWs0mg6d9XwOfTvAqELmLAKRUs34+hknEhL7lPa744rIpenRNvoOck7mPznP7+dQ1hnIdKwmvh7/ectFR814IE61m+FhqQ5+TFBqRoKC3BQkSQxnp0AbupINsCkmsiQ448nPwZnRpbcDGbTWtgEuZBHZqCFjk4hwLVdy+pVn7Wp0qOAZ9IpGb5AVvWxxX7tD79LKamlNcw0M2fwRS1aB4pshXvjosxvXy/LUUdNczmuYLIscxTOLgDKTx0S465fHwGJoVHMU3hK34IGw3jWhZYyfN50ZGz4PS/Mi/FlHEhr9q/av8artd7F9sl772kKntnHInIr86pQNpWS5akMRXThlTqk/0ZSNtonvPeS4qXoXqXG5YXPQJZBYkrbPw42QuPuHQnr4VpMpHG4RFHsLOUsj3+r38C8elWWplnC0IZIZVm03e7XLmP1u1LgOWNjJDLyve7koRYj1uwxg5Dfmdcz6qmtTnVtDYnmv6KfSh+GjahiaEpk2Qvfj/cQpAOtGRpWoUezoLR34Ni5N7vKyXXwTyHn0cjLAPqisd1MvZ+SGCIPWYRS2pVaNpRX/zZB2ncTmxgaHj130+owf/YIts8prGXd9pCF6OkL3bYkakiQ/vKumyRe1TvwrYt1uvIpLX6vTFo8LUxc9G6vARtPnkcwBRX69OrdrsZDcFZl8RDGZNxEZp/370kJB/6HibNhz6Ain34GfxsQtNoWthU8f8CaVtkZ8SVVu61JWMhfkhrqMdRtJtn0fSFphzJdqndjg0Mwxqffv1f//VPkEMcQJFU2u9uA2jIp7eFG6p4Nz4/6vOrd6FgLu3X6fN6o9n+VbvghhneRsM+E739r8yr4IyjXiibEuwq4QwMXys7aH9Np+45aam//v0bamlTErr5UUdkSssWJQVUEEjZIjehTI9NBJvLQEonUJ8EDSo66KjW73co4wruA6WUeNnMM8jpqN2BRrxxQx7hr4fdcFgWp9FBHUg4qSEepwtiyuf2g943r2ULVCE86ghelV6RprU5pFPvwXVc2Y6hEY3Okik1juu1tF8nUR/QzWsPgBu123Hf83tlc2dcxGZvxaf94odh0xtIY1tQtw30pZJjuF+Ma1kVnAVhiUGE4VG9fdBZVdFHUzijdCYQs208L6cgW9RI2MgwDP6UObF5ZSAqz14G63ITwhBF+ptYNJd34plA7xOzLGK9jlqyJC0mdtKYogN4LkWG8PkRqMHBW1mXi9BftigpSHMW+Yteygv8gP4r+qUq23HmMNSSnxO3r9VtlngfS47h2ik7iA1y+X5cE1V78Mwzb6VhdD8FLyU/n4ZN+Kw47GIT83R2S2QY8kwGcVbvsuRMCc7iDCLFrXIvBqA8E5gsX7nXVi+UTkqNYFzJKeMywDeL1uVV9XtjwI6/Oa389xNqx/c6Rb5LiVzJmOt946CoWOfMhI86qmhoYQPyLF8LDchz8mIDUr49JXQnJqS+98cSSYs1LuZF92pczQqxo2geMix/Fg/cWK8uSJJuKnBoGqZfbiJK+yHV8Do4gB7+oQyBV1ou0rjezdgo7cNhHJxBEe15GQFU8bcnZCJBBCvNer0/2a7KDqKADh9FwRNI45Dkmtp7NwWD9QQOcWqgaf7jloLyBqUU8L36UGx6Mae8d1PKl7PVn//+DVU8gQ1PII2HQfioRhrrQzU8goPecxyHPmUhxjV8RpyUGhfy0izUfzCConMHDlLiOwu/ekG2RjTxt3w8KOQYrw7mM88V5BAl871iH0zIgTSKXu+9pGCA6Ud48jggvP/iCUh3PHdSLmf9tTnQxs4WVM+Pd6hf/vWfpVGr2uNuBjj958OaqM/ga3N4MGh+P392/ZaCbCq8d1NiSA1N4qHCTRgfAjU7YeaNHcaf8WlDpXnKkoT2in22eHTMW2lV9OqcUM8o/anfrIuHvSjyQg9n8bDT8gZfHpuhFdWzyjxdkDwYblboF4gOOLKJCs64dKeq3SjCo0eweVFKCRnNn9UN/aMp6Ltfg0yPjTAbaE4EiRRmWjPvOWJ8jSvwARTNI5CTzQblkJxqNq7Pq6Y1+He5oeCkk9uCJ48DaFDH8fmT3x/rxYaheVVWtN0kc/FBHhlCYcs8huX1CdW4Pq/89xOSP8EclOAsGmdujIzz+f91Tpk3M8rzMvwODE6MPJqSbUp4xJGgvqUtKfENVXRo6tMbM0LHKUq4ZCF/zpb7hdjl2u3Y1JW8MaMa1+dV/WZMc0uO4ffilmNlcETFerFJeLpxDE3jM/7z378h8p+GjfBCMDjO6yDR+YWyKZxj6/MSZkdTPGVBVbtdKRzN4dFBNLz02PEz8uVs9b2/mJBk6u116OGsYLAp4/JnNAFLT/aN83nJgfDnXHkcU8sLv3pBVXTAl0LPgHkKmy5iec1TOH/CI7gPaOSNH8LmVozCKVuyg2p3oGgMvjYnE3jJbtllqZblGZlelxxzhDQV63GzdigJbFqLTa55O62WLMUwh56fFZ/2y5AkdlhnjJzUdCvtx2N4qnEBoZyeEyi6mWLO7SvPFXotfHmcXaRpRQfguanYZ6vIoynxei1emVUtyzNiuuZZVL7fTZcPj6DZ/Oa/d4vUmZRBBsTyGRYdcFxs9rSmyB3Cs7vnxzuk2SWkgmhlhg6W9ukGow+bTuZs8eXP2GrpJ0dUab/2e5wrCJXMrz+XeLctJKuq3e4ZUrkXz2oi+6vbNKVPyz6LEu6AhmHCzI4ikKJ2O7bjJNCxuSw7iHO+KAFoji+ngwmH3aFEdBAqDM+dFHD5WspFVUC825Zt7/L6hBAnAw8Syp/BM8pzwhJ5b2jSka1oaNpRZTsXNiDP8rXQgDwnLzGhX0Uib9k74xIaRoMYC2kSK/wZHJiBpK22fblfDu6iV+dU80dDkhRt3swITYbkovghW3TqRBHyweS1tOku5a6aW5Zn1JIlaTnUSfkpmse2gZOvyLCrMY8M4xAreWMGE5mbGZF3sdgvHodemDpqZmRM/3wdpt7vjquGTYWvmfKKX58RGsjoTzfCL9EHPwIpXl7HRTZGjzhCe1q0Li+J3JFhVw8cP+QW3i0fD6qr/9kga+vGDXmZdscP6VTlC3mZ4Jd3umAA4lqLEpg2La+dU8Z5GLZL+xxJWjcu51Ck305Ls8GtBx8UnI4XJRA2Fet1teLVbZaqeHccD8o0sg1WftanOn6wRymlVHQQRUvjhrx8PpFhXEf++wmZtBsXYWD052zR31buxYNrRc0cPCn3ksq4lsU27YRrCm7YWBDZlf3r5VLEc0pVvcuSLZB5MwM/yp2UhHmFj+pUdwfbBJKIiPmk3Iwrf+Mywu3mfrEWON1e/D6+Au6NynZs/lo+HlQtyzOypSKdhk23cTmnun/UqpRSyricQ86BlnSc/c1iVd4J70XdVsiJ6H0yT7s5B6X9WtZCupIOJCx6dc71pOyHH6JhY0GQzNxgee8CXcwNUGU77kc2YC3LMwAdXEJDQAkINf9MsicyleQYfj9sDBk+WNrnSh4Z0BZ4kFDmzYwqnsB1EpxzJWOkd/3ji5Pp0j53E0OkdGjKkc+aGy1mQhDyUL0LG6b6LQhk89xJQaevQ/SMq1ncHzo4tWIfzraiV+fUsoZ55PPk3Ibg6Q2YcT4v50r4qCP5R8alnKraY0vWTyBlSyK4ecqlARkX8tIkNWwsqP/5b5+q6ICEhxKiqj22ZECwQTXPolk2T2FqveN7nRh4DOHeqWzHGXnrd7WqfktBLf9kADjbvShCvfeSsq2M9aIwo7SS3yMLdG6eKblashRUufrN8EpU7kVRGO+2hd5E2U5kSGN29TnSsgyNEv0wkWHts9CYYBLhdn+1V5lncCb5cy7alnkNAz/Zqho/PAqJ4tqcWtqUVD//679AfjqOz7i8U/tMNCFRKeVmUmmJDs/Tqj2Ao9RvKbg5Iml8b7U78F2Hj6LAjXfj3jDPFGTjTo8fPXFPHgcwwNMeu+gRnM3BOd0w5DXq+HpWRR9NqcUrMlJg01NIcAlBAMSJV+1xMdq8Nis6bFwP53BdGOfzyjwD34hxDbhxDtoCSVtM714b941xPq9e+qJH7rnGD4+iGdTQivjbE7I1Ku/UcrEZN2yU21jzbEE1rwI85IWyKXjkNHGSw6AlS9OoD7RBnHCZRevyUnvQRM7tctG82wgSt01CV9lBSPwE1nEKMrDmj4YA08jZguaPHsEQoaxLy/guQRrY9GJONsiBlC3Ph5IxPFsf/9c/YaCStFXklaMLDcgzfC00IM/Jiw3Ivx5PqPoPRtTcL9Yq/yvzIDxpqUN5J6blJce0ZOZ8XhKyeRgHUiiSy7q0r+LlFCaNj6aUebqgVnzaLzhK8xaK39C0I2tSGpprt2PqFB1AkcgUdV/BFopL8eszX5u4Mo03kNYrYS1joNTDvJUWOc7yTwaUeSutvBamcjzUWr/fIXQhaojN22kxDSulVM+Pd+DBfxt/nrri8Igjv3Pz6pxMAJmfEJrCofbkcUAeijQiho/qQmLKfShx8uI5qRuFW2lBAkeG8d74fXAiTjRi7XZXxxqa1vhczaHnhJYbmcCDhIQ9Nq3Nia6an7fvXlK2KubNjGjiixJ46HBiXDyBbYtSShkXoDMvP4Bwq6YXkUZbNG/LlIkPUGro492uEb31+x3Qo+f0lF5Pjcu6bCEGRQccaW4Xr8wKT74o4eJRlyxJq/Cb0/AvaM1zyRszKvAgIbkG5fsxbQ8kXS+P5zgepMsWJVXvT7arrh/tElxyeATygOCsIwZtImcpifO/Mi/NYlkXPgPib42raACUUmIu50SXOOjaHZAKGtezAlUwb2ZU70+2i2eK/gWvAwRry7KMSv9yNXJEJnEdFb8+Iyba6KAjmQbUalMiyKI8OoCmkMUMyS/BOTz8I8M6xXgU1xIDMUv7XYmGcSmH1OKjjsitjBto/qv2uHKcRevyX/OrsKhnSJpx6X8noXOK6yvoQLjbaVXZDmjEonV5yathyjO3pys+7VfGtazgjovHtUdpLQIcm9bkVPHrMyqQRjNQt82Ss6/kDfzv8W7II0OT+jPqdaVZLHS+9xcTYWorMspz0lLtX7VLGGZwxkWOmrfT0LDrbJpASm9edwDgEe8G1c2Xt2UDSwM/m1ka8rllYAaPr4Czg5CH6KMpgA50eCsRzjU7deaMDsA0zkPa6Mu7mUSe4/AmBdK2+n//j4F8jYQjfpiSMVyHXgvm+ZpWNIJeC4UciWDcAAfSaKDK96PJrWnF+UX/QvtX7TiLdM5F07eHVcNGbJ64XYge0flDe7WhXcuDI0N6w3ymIAntvjy2TrEeRwAJ/iw+p3u/rxRZJIdjxG83rYUvj6ny5q20gC8aN+QlZJQNOWXJ277cDzKV/r3LO7FprtyL6bx5WhfKXfjMYj1fT9um1Nafw1AnNImmofX7HSryaEpIj6FpRw3/dDPwuz04e3kOMxHduJwTSAKbtuo2+MA4iCPdy3svqaKPptCE6JwcvuiREznSEY1Cv5+QjSFJhpFhRwJCuV3mwLLsIDYKT/8cNn2V7box73I3olV7cG3TS+I5AblvWZctsjBSuSr24Xdp+XhQQAihh7N4/usmPJDU53zaFiSxeRabQw4OuKnnQCw8irPAuIBNOj2iRa/OgSbZuyDBepavhQbkOXmxAancklTGdRhTu3/UKtNWFrDGeeiSeeOyUKfkwrydVsYF6Csb16PA8BwHM568/OJxTEAb14PpHXo4i4JAh0ERDxiaxKG+tBls9OW1czItKpq3v7YWjfWCYMVwpZJjrkmZkwvKUMwzyCkxzxXUopfyMvkJj+IB2fuT7ZAtaQIRdd58NWwqiFm8tN9RO77Xqbw2ikBKxLx3U4K1DM45ggte/Xmv8t5NqSePA2r4p5tV7XZL/eFv3xAcLhGPa744rMwzBfEfMGXZn7XV0qYkJo2OJaGA5s2M8pzAw4NJ7iSWhaYcSaulJCuQ1vSrtTmZBFJbK36Zl1PKuJhXP/7Lv0EKsgdFRdOanCTSeh1LtMQ0tSul1A/+Ysg6nqnz5umCyATMMwVpspigXPz6jCrtQzHCDQUDoBavyID2pE2C4aO60dQoXOJWzVtp1bQWU8eyLltyQIoSmOY/eRyQ6T5Rp1V7bDF0cxpd1qUpQLr4NM/CMMkmisU/EZbRR1PKc9ISJj3pN4EUHrRbvjyg6rYWVON6FxGtFB7uzLWobrNECsMtGx+IlXuxjeN0mYVk5V5bjN/xQ7YUJ+YZTFB9OdeAWXYQxWzjejQkDFskEME8rTd3l3NimC1KQF5StRufZckYmmniP6lBN89plG5K+5Qu51zMZldXvgAAIABJREFU6hx8X4IDvgwwAX0WgTR+n8YNkDlxi/V0088Xmy8S5Wp34H7p/GGbijyaUmUH8R3WbseEvGoPCtDIoyll3krLJpFyvfCIOwUu63ITvz3H4T/gxrCm1ZJ0en8O91LN+6NoHB9Nyc8MpPEZszCsbLcltZvnS3gEfrfy/ZDONb2YE7x1aMoN/yO5q6bVUitDoyp+SOdCXMvKeUkvTfEEJGdKKfxz3aAwJTz85rTQBz3HLfGFBWfgX1j6yREZYESPaE/UiKM+/lMQxv4byJYJj+B6bdgEKhATqZtexL0VHsUgpWq3LZKm6KA+4ycgi6WkjPKwmp04A+LdtlxPpGcZl3HeNK/KimS1fD/Ohuo2C7SrTls+O18OEs3ogCNbYW5hnjwOiBdJKSVSm/ghFKc085OQx5/FPA8i0hmqVzyhJWJaVtTz4x3w9+gATBqlI0OOeBzMU5b4NWq3416LDDsS6MfPkpI980xBsl8YhFhyTKd2n0KAYawH/7mmFWfD9M/XqaJ5bO+aXsyJhyiQQpFO5HloWkNTLAzzvHdTaN5nv96AVLdZ4jEyrmYFfkJTuXnKksaOwJKGjQWRo1LKyWuLPiOGinKww6T68gO2NHx1W3GOcYBH6Sh9U8b1LLyIO3B2UkVAn0xNq6XsXy9XoWnIx+q2FiTY8oWyKRXrAVBm8Qps24Kzekv31qQMBJpXZWWrS18dhzyVmxeCCJ/la6EBeU5ebECqXu+XULd4Nx6eS5swAa//YETSTbt/1Ko2fOegK4WYQpPC4DrjRkbyJlqWZ/DwvogDOd6tJSUanRhI6aAqHVAXmtJeiF5HcIUsqojlY84AH8LF4zi4m17MCe3Ec8JNMy2ewJ+r31JQ3rspkIry2H7EDgNBunhlVshTDAcj1/5rmli9ambiePNHQ2Kc999PqNDDWUyWL+fQyGgc64qqGeRg9KBwizyawqF/AYnfXgdTzMCDhDRFgbQt3HbqgYMzOuMiq4OxrmaRG6KRwWVdttB6vHcR0tj1o12gfGj+Psk2W748IDrYsoMocmveH8X7Op9XtdsxCTYuY4pHL0/xOIqJ0JQ2Ou/X0zw9tebEkcZfrulXf96rzNMF0SEzubv4dWS7xLtx7ZlnCoL3LEo4sjWIH8IkkZPgxg+PKuN8XqRIzHLxvzKvanai8Gj+aEhN/3ydTC95DZb264ed9rGYZzBlizyaklyZResgI6G/IjyKwr20H4WncRENLCehi17Ki17ZPA2vT2W7Kzkg3jOQxAPeuJERqlx1G6QUlIlFH025QZZvTUqxzO2EXOtTjhjk4922G3r42pw0VfTisBmkfpzTaM8dZJ8YN0C7IprWa2Mizw0hPTsV+2xpEnndmLfSalnjvJr++Tr4Ciz7a8GcZQfxWYffnJaJN6WX0SNuDkH95oLIdP7xFRl2RL5o3oRenWCCmlZIOsq6dDDcg4QEAfqzgA/wvCLSNDirz5EbKDrCo3qAoO/Fqj3YAIam8O9VttsS+li7w5JNDBs8NmyhaZcK58+6gWskvJFURe9XdBCUueZVWTTM8zrz6NN+bJ4eTQmm1J/DtfRCfFKa+EDalua/cT3kK9EBNH7cdrGpMi7llOfllPjfuEXgtir6aEpM3Tx7mLez8rM+5C9dz8qZZ1zIi8fHuJKTIcjur/ZKDkjdNkjxqvbgzGpZlpHtN2Edtdstwbp7tcG+aW0OCFqNxPacsCQ8tX4zZE2cgDNfqGFjQSiB3GzUtGI4wQZdKSUFsnE9q2reH5VhR/3mghi/SZsLJG2hQgqg5FJOTOQMi6zdjkKYn6XXsSTPgtkYRI7Xb8GghdKg5o+GRE7rtbGh9pyw5PpYvBKNJ2mIoWk3N4Ybb38W9xxDaot1PkasF35LSikbNmLAVn4AA77IkCPDFeNGRgVS7r1HOSPvK/p0SJtaXp+QYFNu2ZhgzjyU6BH8vdVt+ExXVGHYxPBY41IO8tSr2GSX9kFJUPmtY/g7Z12iJYddREVTClu1x5bsG+YPETMfP+QqCqp34X6peX9UhipsqKKDuG/NMwjBLT/gStWKErjWPHdw3wTStoruW/CAPMvXQgPynLzYgARG08JcL9+PQ9K4mBc6RmRYT3LOFmR137DJDTtioVHa70hhV3YQxklSkihVKJ7AA7ayHQciNx7m7bRq/mhIbfnygCSo1ungNPMcClNmWJCN73UsmTwJaUpvJR78vkKMecaFvMhaeJg1bMQEtXgck+pAGg1RwyZofck354sbGBrl6rZZkuPgzyGr46UveoBt1Qa59/5YovxZFMbdP2qVDceTxwF153fVyrydVh0/2CNJuJzsMYU6dhgFFdf6gRQKI/8r84K9NM8BXWieQgBiZMgRalP9loKYnX15t1h98jigoprkVb3LUn/+O5j75pmCaGhXBkfwUOl1M1bih1B8Lv9kQK354rDw24MzGi+r6SicavMB3fRiTpV1QX5TudeWkEEagePdmERW7balOPOctMSsz+kf8atlXcCHLm1KCoM/kMZ37c8CsUiyDdPA2VDyc2Vh/vR0zzwNOVzLx4OYhmrNc/1mEIjM09ha0IxM2pJ5Fp+bcS0rOShPT2dJ/TGuY7rvOQnPU3AO771o3hYPCx/aZV3QdIem8WANPEigibiITeOyRjRbnpOWBBbWtFqq5v1RtfyTAVX93pgkXgfnXGQ1oQD1mwuiNWcaNYlx9HaYpwvKPIeCj1hkhsYVJfCArtqD64qoa88JS6RZ0QH8PYteyosksXoX5EGV7WjczVOWFCX0hv3ji9sEbqiig45MPZtXZVXdNks1rc1Jk8YhBk3i/hzOkvBRLZ15fQY42kFHzf9ijTIu5VR1myVYZuM85DK+nPbIvJiTrWtw1pENRXDWEdw0p8uUgdVtLSj//QSK1is55SvojY9uFPxZl65G3xLlcv77CZGolvbjfCNBjsOZyr226vnxDiGrMVOC+QjL6xMAYmj8Mu9LJnpzS0yUdt1WXLOjP92If+8KBileG79n4waALyhdMi7mBU1rXMxLgxAe1YGBva7E0nPckqaFGSfeuynVsLEg25jwiKbRDQNa0rI8I/k31W0YKjBrJDKM97P68140uDczatE6yD8pIQ0fdQS4QXSvUjChV+3GGUtfXdGrcxKYyiwphjaaZ9G88T8HkrZIb8v324IeJ7muarctjWPz6pxskeu2FiR005+x5T0EZ/QAQ8tqQ5MwUHMLwq2BcR73bvwQnpVMNKesLzzqSv0qOvCZr/68F8ne+mxhAjjDaQX/rn1iT0NX6BuL9eKfhUdAFvPltRfrgCZAZl1vqHm68LWQTnrQ2ECFHs7C8/fU9W6exQa2cUNeNWyEIsB7L6nMcwXly9kCE4gd1s97TRGLvz0BApjeaIaPonHldpDbUj6TSo5hsGRczENSe9RFaddvLkiDGUjjc+WWhYCX+s0FaWj8YwsSrGf5WmhAnpOXeEDOz6jooOZ6T7rT9sq9KPQmf/5NSHhStpv+fNJSv/zrP0MfOYGHJjMiIkOOIFmDs44kuH5NE699GuERR6V/uRq0nss5KV7oASGq1zxTUMYFFKzNq7KQyujUWOYdENHKB0Lr9ztgsHw0JTSa0DQOaiJfvbYlelT//YQ69ZslkB9cgamNr6KEzgHI4OHqOQmJWWU7CvbooCN5HZzK84H0//23CeOyNrIyRZ6hfmTNR49gW3Dpt4vUk8cBCZOq2Ykmz3s3JaGCxeMo2jjxMa4D+1ixD41kxbvj2MjcyLiSnNdnJIF55Wd9MtHn+zVPF2QiaN5Ou6Sz22nx3FCiRXkTZR9KKaBJNakr/Oa0IIPrtlninSg7qGVg3x4WsygxlaRHkeZEKVfxhCPTaiJ1a3biIbbmi8MSuOg5abmJzatAj2rYhGaaGn4mlFe8Oy4TUhafle3Y9tTstGSrx82ccT6vmldlBYUZGXakyTJPYQLXuCEP2Z2WHBoX8mrJ0rQq348U30AaRVBwDtdA7DCKgsijKaTba915dMARE2TtDlxTwRldTGvvSfztCbX6896vGTODr82J/Cwy5IgMw2u5Bs5A2pbrQCaxWT1J1kx8yvZoFqZ8pmIfpplPHgfgATuGpqp4AtPD6l2YBDduAMig+aMhaMd3QYtO71Ssx72/gzOaQrTfliHDP77KO20kkqdd6tXilVll3syolmUws7IwNS5DWhZI6ob0PtKNq3ZrAMKNDGRZI66Ov7oNn4VxI6Pih3RDNY6GtWqP/TWZV+wwiq/mVcBSV7dB3tT0Igp75tWYZ2HQpmctkMZ92bCpIBJVNn/hUXzf/gyadM/LKdmgxLttARJU7ANiNTiLc7VkDOeuUjBX87tv2IhsCeakEG3Ns4L3cvyQG/LqvZtCxsEhDHG8Dr5nBhjGelzjP30etTss5IxorwtzZUr78fO4ofTnMDhhcVja7wgVLfQQdLn2r9pVxw/2YLu0Dd9HwyZcU+bttPwdW748AOKhnnjTGxDrRcNBohUL4GM/26CWNqdU+KiLCm/9fodIjpmFVL8FjfKidXn14Z9CGJQM4t5uWpsT+ZfXsWSQQZ+F5ziM8p6XU0Jzi/U6AjfhdcicG3owGGYbHdDAlzPAIAdncebVbcP15M/YMlh6ugjnVpefqf+VeTTf0zhXKEMOvzkt2Vb0bpmnLLXopbyE8wVSOPv4ot+vug3Pc/M25FGeO0gZ55bWcxxeCQbf0ptE5G5oGmcaFQvhkadIjadQ2HvvphBgqjNa6Kfy3Usqz0nLlT5pzHFkCGdhZAjPjcUrs3JGRYYdyUkJj7r+HiK4i3UIJE3+/hzOhZbl2AAZ5/PKuAQZF3PPzJsZ8aOUddmq8uHAQgPyDF8LDchz8no6ByT0cBYmMi0r8Jy0ZFrFKRnTtMv3Y6r7vb+YYP63I8WbcivjKkyNzLPwOpY69rMNKjKEpib9y9UidzBvwpQowYA6XZqTVfNmBtMSvemo2IepFTG6lLr4ci7dpHy/LYz9yDAOqTVfHFaf/jkgEhPmeESPOOrW72oxGdMsdhaUld86Jp8VJ6o1rXqC+61jqnkVJEJl74yr5Z8MwLg748pjjAt5tfSTI8o8jaLDvJ1Gfor2M3ASykLUuJiX1Xmsx1EPfl8hmQXGNQRGUQ/NjA7PcUsN/3SzTJOKxx2RB4WmHSmivQ6apEASTSRN98RH8sD1a6yh5wSKgFgPpt2bvtslDy6m/Erolw0ZSHDORQx7jlvqpS96JI12ee0cUKobC2ry59+UIDFqeT0vIzGdDHjjWlZ0/f/z3z48QDWXPzyKz5KTSOa6UKNNGYBxEbhWmu29DhoU/yvzIi0wTyGBnPQz6p753USG8F2E35wWelTTt4eBwb2TUqX9+n45jmIhdtgR4pNxMS+kHX8GGmelFDYtD2fVC+XTKvJoSp39zWJci/r7CL85rRavgPGdE7zIsNu0EPX75HFADf7HFpHUBFK2JKBz2xfrxfuo3Y7CpX4zfDjG+byEhbKhJd6UVKLAg4TosRn0V9Zli7m5WAdi8ndnQOniFRl1/rfNAijw5eG7qduKwrh5dU6Stom2pp7dn/vfEqyyg7jHF6+A52nRS3kkRmsfWazXhVIEkm7jz63hys/6VOytSVX2zrg0KZSF1G3Dtdfy8aAKTWkj+cuQSFa34XoxrqAAbf+qXdV/MKK8d1Oqao8tm1rmOCx6CfQ3f9b1O1Tt0Z6lI25hyGvEuJGRgtJz0pLsC/qIqnbDaC/SIA0h4JlYuwP3llJKhUcQ1BcedaQRMc+igBe5q95Mxw/ZYoBvXp2TPKSGTQXxNtVtQwNSs9MFV8QO4343rmEA1LghL0Uk8brRI45gXuOHAJPwWjife3+yXYXfnJbznVK55lVZFNcaje3L4ez0nEDuCXNaPC+nUNwfdvOTiFo3rmbV6E83KvNmBr/raWwuzFtpNEK6uC47iOFH5V43O8S4jBDSkjdmRHZICejS5pRM7Tkdp1S5bmtBAi7NM9jmcHDD75F5OE+jlYtenYNs7bAbuOfLacCCfh5yqEYsbeVeWzJK6IEKTWPT/nRGli/vZvoQ4Vt2EE1M05qceEGI16chnOZuviJDbs4PjduUi/KZzoGBcRFyWDaa3JouXpFR9R+MqKo92NZxy0wPYfl+W0I5vRbOFO+9JHw+q3PwgEyjmSVsoHjcUS3LMqrpxZz4vUrGsCkzzxUk0LRhI+4zSiUb1+Mspu/LuAJPWnQQnqeSMdyDJLGZt9MCNiFhMPpoSoWmHfWvJ+cWGpBn+FpoQJ6TFxuQf7s0jfWqpk01fnhUFc2jEA0fhabYuJyTwLdAEhP3QMoNniN6locuDX6lfVj3dv+oVfnvJ7Cyv4LDo+jVOUEBLv9kQHwfJGb47yeU715SlfY5gvUkLYPviYdWvBvZB01rc2rDdw4K9pASsS/+7FOL1mEi6bWw2WFx/+RxQK38rE8ZV7Mq/vaEbEmenghFhnWI4dmCGLYjj6aUr6BN5DoN17ielc+w4t1xYFWvZ2W7QMRqyTFHnf3NYhV8bQ7YWp3DwuKxYWNBpufm7bSkmPMhTP56949aledlpLBHHk0p//0EArB02KN5DuZQ43JO/fgv/wZZzdmCPNS9FlbjRfO2+s3f/klkUwyjDB91pECPd6M5a/1+B/I8smjYIkP4nCg/o5SA8iRO3hevzKLImXWk8I29NYktlpa+NH80hGJ5AL8v1+vlB2xJ3zYuYEq1eCWmmNf/s07MssE5FNmECgRnsAWhiTs66BbkxlWw9SPDbrpv7XY0OSVj+I652fJnUEQY17NoLJuxjTLPYvJe1qUnbBOOIGz9GZcMx4mzUkpQrqEpTaW5hjDGkjE0lcs/GRAaS1FCI5ev5MSfFJxzRPtN4zhzNyg3YBNrXMa9FpzTzdOanHgY6KVik8L7r3oX7gmib4snHJEK0awdPeII5ebJ44CQfKil9hUwwTZPYRvFhp9IVg41SIWq21rAVuPc/8bwlh3E1qZxvYu8Ld+Pz7h2O5oE85QlDVv8kIYv9DoCrjBPYcO1+6u9AjpYsiQNn5gmyhGfXDwBf1h4BI0ncxqMC3nR28d6HTeMUpuyuUGrbEcTVN5pS/AftfklxyBBZVI6JaWeO7ivffeS8ElMaonlmYJaUTOnvI5r2i5+fQbb2Ffm5YwqGcN9WrUH1CFKz0iHYnNG47svjyazfjPOgtodljTLbAybV2VV4EFCVXSgeCbWOvjanHzvxpWcivU6krgemnJEJklPVfUueEoouWXiePio9rVlbIFmlPYDh87Bl3EhL1stbn78OVvkNNxClow56s7vqmUYFZqCJCc6CPmScQMZPHd+Vy1+HyEp6lR243JOyGyhh7NqRfUspLgag7vopbzy3ElJWCm3povWId+Cyeb1m3Fv1ey01Pwv1sCjsgn0Nhb81bss2RCwsPblbDF5F706J94xhhGGpvHZLVmalmvN/wpCD/0ZW75X5gMRJFHW5TaddR+MANk77XoNo0fc7TRf1W0488zbadW4Hs147K1JocQRd08yZN1WJLNze8frnZ6nynZ3IEnfX2mfI7LHooQjnk1uTYJzWuFwFkh8/31QDCOPpkTSSWkw4wAq27XvTDfbtTssyXWq2Ykzn98nwxPpFyL1j5kvsV58T9FB/HkOCIoPL0iwnuVroQF5Tl6SA3JlCvSQCRzujRvyMhHxWnoarQ2txlUcJtEjOEifPA6o0LTWUl/JqbptMIUaF/Iq+NocvBm78WB98jggsgaaEZd+ckQK+4ZNBZnaey1IaaiB9t9PgC40gAOnus0SrbF5Cgm5/gwmuzWtOGg4seaUhpQcJuRWt+Fw+fTPoCd5HW1a1GFU1e+NyWdFaRJN0uYpvZrWk7aieVt8AYEUPCGBpK3O/7ZZ5Cq+vCunCM45gqmt2GdLkm1wFoUvpTfhN6clC8Bz0pItUt3WgmRJMMyPk7CGTQUVe2sSkpVx1+TneTmlpn++TvwyxeM6IFFnF7CJCiRtMVxGB10qleckpDTGxbzq+MEeteE7B1X9ByPC2I/1OmKiD87h0KZniJuqlZ/1wdipCSeeE5DO1W/G9C84h4Jk4CdbEeanEY/BGTSU9Zv1ZFM/6Pl+a3dYgqQ0LuWE7lPaj4KqZZlLPDGuZRHwp1n+lAwe+9kGmYgbNzIyKQyPukS1yLAjXHkWv6V9rrHVcwIP/+ZVWXhdrmeVcQWbubqtKK7rtxSkyAo8SGAbM4OfERnCdVE0b8uEzp+xpdCRe7MXTXjwtTlI2LTcjWby+i2gtjHxuroNU1M2d6V97tTRcwLfKQMSzTMoXr2WLeADyh2Kx3HP+zN4IDPHgUFdRfPIiSg/gElscA6fQe0OSzIjaloxNS+eQHFIhKh5yhKz8NOvkmPYHHC7ad4EnYlBkyw2PHdSYpI3TxdE3hQ77Aj+tKIDhTWzaEj4IhY3OIM/Y54uKP8r86p8v86suIi0ck7PWWDVbbMkS4hwBYIgaD4OTbmkq+bVOTEZC6p2yKV0GVdyuBfP4f0vbUnJNU8kL4cr6V+uVrG3JvEZjbkkJq9ly8Ak1oMCUeRQWTcbg/ckC7zyA7ZQqszbaXgkNHyBRl/jelYCamn6ZdAih1ahKbxv/yvzYjaOaNwrSWrNq7IwRc+jYSiat9XcL9Yq41JOAAnM7OGEPjgLxDaL8tWf98oQhWnxTIAPzjjy9xEkoJQS/wGD66r22OLPqmm1ZPDCn1l2EI0qE8B5VnsdNBDlB3A9M8soMgRcffyQLYb40LQj13vVbt2k6WJ89ee9qnE9PIqUEFXtwUCmdoelBn6yVUWPOKrzh23yvdIbQVmT57glcixu5Er7HMn84TVZu8MSql9oEtcSIQc1rZagipXCNjs4h+t903e7lOekJY1n7LCLqmXjVbe1IOd05w/b5Bwve2ccMsZh3OuUJrMBN87DFxQ/hPONG2XKIqvbsPEsHnfhBAxCLjnm+nACKdvFgPfhvXuO47nGzSshM8wMMs6jsWpZDqx7dZslAcP0YjGYmJJD41pWxdsWTOjP8rXQgDwnr6dzQLgKfemLHtXy8aBa+VkfisSHs8q8lZaEbmphSfFhTsj1/6xDqNaIoy79dpEqSjgS/EWDJh9Q5u20TFz890GtYeJt7K1J0UlTY7uscV42IOWdmLyZZwrKdw+Js6TVeB03AMv+9XIcrq/PqIoOPBi8d1Oyli4/gLVqy7KMmKAb1+dV/O0JTIV0gi1fvhxW2ME5FLB1WyEF2v3VXgk4ItkkOqgfIjp927yFTcbiFRnBZIZH9YNDSzxih/HQ5ISfm4uSMbxv//2E6vjBHhS1V7Nq9ee9+B1OomCu3oUCz7gIPW7x6zMwheqwxardIIA0rUEhY56ypDms22YJoah+c0GM38XjegKsjdTGjYwyLmHSbt5Oq8iQW4wqpVTdByNSREuybbdrICZm0biYFyoQJWc1rZZ8xjWtoHDVtFriWaHcKzTtCEUq+mhKmWdQPHGKSNRr1492CaefemGvg5/ry9lCtgkfxcO5cYNGTd9Kq4oOWx6KJWP4nmp34Lsi7jE0ie/p//k//yK+DU5z2axFhuB7YtNavQvXU7zblvdNchwNyEwHL5rHwzLejevbuJKTRpIBk7Fe/H7VbZb6+V//BTjsGxkJvzMuQKrEIDBe58aFvOr8YZtI3J48DsAE/uFRQThXt6EYC6QxdCjrwn1eux0UKH5fZQfRJNfsRBaImKX1JJkUtViP9nJpqWF0EEUCCxjK3Jjs/fSrtF+HWWYR2mhczinPnRSkF9twr9ZtQ/MUmoSJefGKDMhSOiAukLQlZDM0iWKmdjuGGJ7jMO/XbbNEehc/5Hq9GHi66CVk3JS9M66qd1myJeV2jinPfl1Qr6iZExkXC87QpE5i1+n0FR24DinFqtlpSe5FyRg+/8gw3u9LX/SIjMfzckoycJRSKjSpKXf6HokfcgNMmV1ininIlJhFYXAW3/eTxwG1MjIO1POrc8r/yrxaUYEGtqIDxTTzP3x51xtE9Dk9cqQoRo84IlFjocxtV7FGsnM4wRDH8v24lot1Zg3hGy3LMjJ4ivU4bsaKRqXHD+EapK+AIaU+DVbgd68UtmkckNXuwODLPIVriJAR/l4szJc2p+D5mdGen5NuSF3FPlsa5Ko97jXDgEr66bgZ8N9PqPrNkDMROWvezOC9a1Jg7Q5LghlJqiJ5joGYRQk0SZ4TeD8NmwoigSvrwucUmsbPCh91xEPJcEtupEvGXGld8YR771XvwjOd/siieZcQyGad3zGDcSND+rvRjc/SlpSq21pQS5ZALssQUc8JNP7mmYI0CmVdaPj4fC455mbglPbr3J0zBUFq089JKaLnBO5dZuMw94aYfOZkkZ5HWRrT7ANpDEkr99oiS/Q6qA8q293tZXWbpSq3LGB4n+VroQF5Tl5PU7AWrQMNhCvPooQjGwP/K/Mi1eAUhh4JyjyCM1pPfdyVlixaB7Pdti/3K3/GVh//Kag8J+EHKR53jZTmaRBjyg7iwUiakXE9K3hgBhQN/GQrisx5V1YgyMFunS58NSu0mIp9eiKqPQMMhDJvZpQvj6aDq/zSPsfV/OsEYL4aNhWEOsQJeMMmTODZJJAR77UtMcwa5/Oi7/WcsISeFet1pGgongByNTiLAqSsy01nD4+6Kcx8mISPoglicVjz/qiKvz0htCDPCWhoS/thPC855qiOH+wRRKavYKsf/MXANuBqViY+pCY1rs9LNkbVbls8FJzytXw8KKv38FH8OaWU0E6a1kJjT9Nk44Y8KEpaisTG0lewZYpa0YEG1J9x6UPLFiUhx0u4eNMX4pOCbKROurTfxarWbbPUhu8cVN57SWHr06AfnMU1TAxsIG2L74lyPMGq6vBFFmykLDWtyUmREZrCP9/wnYPqxK+XITxOh0NyIm1cyin//YSqbLeF8GSeK4hMisGZtTvQbHnvJVXNTvyvplyuAAAgAElEQVTs5lVZkenQJMz3WdrvkquoJf/4T0HZKLGBr26zRPZTcgx/xnsviQblelbQvoEUPovVn/eCtqbNwLEeN4uGGRxslq7+ZwOKsA6cGbEed4JfcgyTWuJDi+Z18XESvw/16iVjKKzKO22hM/3jy1dwM2v43dNXs7QFOQb+rN5gni5IEcrNUWjKkc+WjZxxMY9N2OUcJF7jbmFTfgAFtvduClNPTcWq6MDPKpq3JeDSfz+hardjo0FkbHAOvxMlHMyNKDuIz7VmpyXegEAKf1fFu+NSzBEPuqxhXjJ4Yr2YrNOYzGFG01ogsDn93vTdLuXPIPAvesSR98uMoMq92BzwO2KjHHxtDvefbs4r9mnJyVGcU5S8tHw8KEWmT6epB5K6WTjgbjrDI7i+536xFlK1zQXZElbtwSY7POKopc0pOe84vKluw3CEIA5/zg0rrWm1xCtXfgCNEbOGAmlcD08eByT523cvKYFySilIt65hi8Ntvtdxt6fcOHpO4u8p78SZGut1BFDgz9rSFPvy2rcz40jBap6yBM5AXyCJXys/61O12y050wIPYE6nRDPeDQVCcAahg/6MLZLZ+s0FydkqHteNyQiGJzw/icH2HLeU505KqIO+PJ7bHNYYV3Ky4SBulpAMpZT67p+92KLdSyrzNDZcJWPuPR1I267sVf/ulL9FB9wsDzbjTyN9K/dieET/CwMGuTFiUxR8bU7yWBavyIg0eO4Xa10JZxLbMvMWapjyA/g76rZisx97axJ0z06cd5FHUwLBaFmOn8kmhT44ktAaNmooy4QjlKziCUdVblpoQJ7la6EBeU5ebEAmvveCalqTk+RfokwDSRy8Tx4HxBRGqkngAVCR1ILTGHz+t82iuS0Z0weMlmqVjLmSCM9xS6aIpLYYN2BoNS7BsBoZxkHiy7k68dhbk24S+DimKdFBR9CbDMqq2GdLwi/lDdVtWFU3fnhUOPU0gEaG8P8//FNI9MZVu90Dme/7m//erXz3kure7yshcTmARiTWi8K9sh0PAa6+S96YkYeN17HU8lqgVIkerdyLYqy6zRJDf/G4Xmtvs4SoE5zFP2N4HB/A1Lh7HQsGTD1JJSo41uOIXKjkmM5OeH8UidDfHlbnf9uM5uDhLNCPvWh0PHdSKvbWpGpcn5ewLKJ3mXpLlOGaLw4rpZTojjntCiTxHuOHtA65Gw8vX8GW3AFutkr74Inh++eDn79D/eaCalqTU8d+tkEwk5EhFx/avAomfYIHng4Fi/U4kijMz61qj63qNZo1kLQlQI/m0er3xmC43q3lAxfz8AldyWGTpqUt1FjHevA9UbpWt7UgEj1pNvbjevLntLdi3G14WXzWbXONp+T+B5KQgTC7hv4O8yzkCCQBEee743udUsx4LS2tmXIbI18Bv3tk2BFDunE9q5pXwYNRPIFCsfmjIYRJ3krjXn11TvxewRk368U4j0GDP4diybyVhuep25WDcMNJHxFDDiv36gf8a8gnoFb/6VfzR0Oikadcs25rQf5ObjIYjvnSFz2q4t1x1fr9DtHp8ztik86Bhj/rNsH+DJoDokXrtyBnp2VZRqhGJOdQhx8e0QnK066HpHKvLb4j4mhD044YZIl55WbDPONinssOYttCvX/9Zgw+lraklE+HrhGPGj3iGofnfrEWw5dLIAB6TkLCEkjp91DAtJcp8MFZNHE0EkeG9Fb0bko1r4Z527yZwRDgGKhxZV0oZiv3atiB9lPxzIoMY+pd0aGHVhqEQQ8CN6HGNeDG67bhrDfPFEQGw/wVbs6aV+dkkGGee+psSdmSaF6UcE38vOeaPxpC2rge2FBeVNqPc7RhU0HOBkIQWAjLIKTgSiOZvUEpKIlKle3wVfAz9lq2BB9yE8wtGzHjoWncX+attHimKE0rHkexTRiM/5V5wV+XdWlkrIaAMCTRuJERj1v9ByPSBMYO49zznMRzJDqoPWraqB4Z0v6uo7jOPMfdjX9wBucPIQLMW6F3hplVPIuCM/oc0qS08k58Bry3qtuwfWhcn5ftVskxNNVUVVR0uP4tKhp4HUSGHHnuM9gzOuj6JolQJxqag03mEZGKV7PTEkKWeaYguPDa7fg86zcXhHQWPuqIGiPebYtc1DexIMF6lq+FBuQ5ebEBCfUjFMy8mVFVu3UC92tzKvurldDZXsgr82ZGMIrRQaycif6s2mOLSat5VVY0+SyQeCAYV6DpLznmSGp18bheJb+cgj790ZQE9Plz7gOUKFXPnZQKTeIh8Ne/fwNbh04Um14LcibiY3d/tRfpwmcKQt0KzmGiV/LGjJhmo5qUxCRwNiyN691MAuN8Xrj91InXby64jcygI4e+cTGvGjYV5MEVGXZE08yVefztCckyKR53Nb6UYnE65r2XhNxiTEsY9ms+/c2MBBJ6jqN4+a+/f0N5TuikXM1v5wO68cOjsjYv7cfkdtE6eF08d1JIm7fxmRN76b2bUtu+3K+2fbkfqbLrMKlv/PCo+vlf/0UZV7MiMVBKiUmwci+m7GIc15Ol+NsTavHKrAQmPnkcEHkGiUmcjHpOoBExLkB/G397Aqz3F3NC7qI5nQ8eSrtqt1uiWY/1aIziWUhoKJdi4BVNxdw0GTcyquJdJL5/+ueAyDGINKX0wlfQidoPEsrzcgpGdW0o9msim9eypWDilFYpJRKUhk0FgQmc/20zru1pTFaLJxz1179/A9KmGxlcF7NucURim9eB50oyfDYj36Z5NZLNYz2a35/DAzg0jffe8vGgCs44IttjzkDxOLYl9Emt8g9LIGNlO+5HZpzQzOm5kxJpWNNayAkp+6ndYckmKN6N98jcIM9xbMdYwJcdtCXU8ukXUdnlB/Rnebag3vhDDISaBwkZDpR3grbD7Arm3lTtRtAoCWvl+23ZIJq30VyV9mkvzHls/wIPEuJfME+jQKzfArRu/ZaCTPuZsVK3Ddumqt1aY09C0SQKs0UvgRRED1XRvC0BokzEpvyOBK6VoVHknmg4gK9giw+BciE2IDU7UZxVdNiSB8HgNl8eUjSexwyQpHmYQXieOynQww64Hq7oAArc4IyjdnyvU9Xu0PjmLpxDTx4HBItOz9XyWsBFCBAJTcG7YVzHRo85O/RVUeblu5eUwNTQFLa2bBL4fRUlUIhGHk0Jra2mFdAN8zSCRcsP2PJzo0cckfsppSQPyriUU0uWYoNLFG30iMa46oDRsi5c6w0b0SAS0MBpvj+rJT8FLX3Tga+12zWe96QliPC6D0ZAkzpdUC+UT6v6LQXJAKpsB0zEl8fzi40LvUxe2/VP0XsUmnQkF2r5JwMCOogM4fMjzZGm/dI+XD9Na3Ji8BYfjB6yNL3o3nskcRHryzR4UrC4YeUzr24rNjxlB9EUNq3JSbMQPYJ7oaLDVstr56TBCKRdamD4qPaYaToe1QHc7HCIQ58NwwGpzGB2SmgaP6t4Aj9PPFkOZG1NL4LmZ95KY9igm7iSMagF+LPLDtpqy5cHsEG/iHueiHYztbABeZavhQbkOXmJCT2VhMZbc+Ar3h1XgSS0kMHX5gTTaFxHGjILdCILo0fcYLaKfbihuRomirRxgy7+Bh0xtxLZ6itA58tE3aa1OaGEUOq0ZAlQwY0b8uL7iHdjm8GC5/xvmwU1u7QlpTwntOGQxvHT0OkGZ9306rKDKA5K3oBXZOknR1TTt4chbXkKS8jgqYp9bsp6dRsmeDSgcrJSsc+WjAxOshavzGI1fxXEkrlfrFX+DJj0a744LDhZZkiUHAPhpGo3DtHQFLYanjspFX974mvmvtDDWfWHv31D5GHm2YJomf33E0L8YlFY02qppZ8cgRF/l8YSX8qpug9GZF0ef3tCmWcKatN3u1TtdsvddmlZV3AWhYnvXlLoTsXjkE2R1FR+AHKP6jYLwWZ6O8JCyriYV56ToPswp2DxiowyLmDrsnilCxIgACE06aia90dF+sP3VLMTv3vjh0eFglOzE++7tN817gceJASJyVyL4nH3s4oOaPRi0lZLm5Jo8i7mZUXPjUdNqyXFY/l+LTvReQrl+23JzQmkbSnQ6W/ghi16xBGpiuekparfGxOsZHjEkXtr0Ut5Zd5GwVg84ch2IX7I9ZBQvkDpifdeUv3gL4Y69Zslqnk1ihpOzPm+Yz24bptXQ95UdtAWY7ZxJSca7eAMGralLSmZ9Fbss0UTz2aS3ye1+lV73NAyEvRK+zXaUzfzZV22uvqfDapxQ17IPP/4otSx/ICbdRE+6ohUiBkzgQcJyRGq3Os2F4GUi3wlVIGbtxO/XiZG++X1CdlImbfTkIfp8MPq98ZUaZ/O8NHhkM0fDYm0ilsebi5895LiuygedwM167bheqvdbslGriiB90TJI2UfJWMo9o79bAOuOy0VC85qiWA/zlKllCp+fUaC96IDjkjvandY4kvipqNo3paNgXnKUpu+26UiQ8hWoeE31uuIp4GBhcYFSNFqt1silQ3OoMB98PsKKTYpZ6vaA28Gt07MswlNYXBVMoafWTSvaWGzODsZKsp71DwLKALP05ZlGfFhLFkCP2FpvyONX1ECBXF00FHL6xHkWr8FAIj4IQ1LSLiY5MUrsxKMF+vVYZI6LNVr2WrFp/2AO9iWyNFIRmJgJTcERP6ygQnOOOqFUshrjfN5kRo1rcU917ARm13jYl42yBx4UOrruZOCh+MimhBen8UTbqFtXM4h8PWdcagO3pxWKz7th+fqGs5RSsqYUh4ecVzct5bN8UXpK+V10QF8Vxwu+u8n8N5OWJJ87su72STMAAqk0HRxGMUQz9J+R7aK9BaJ6XxdXmA4bKJD046ELlbtscXHF+txBDwQmnSEOrZsUVK2vsEZRzyrJWN4fgRStjyTGKbJDYlxIyM+EPpHuNWr3WGpf3USCw3IM3wtNCDPyYsNSO6HTbJ6bNgIs1r9ZoRDFc0j9Iws9OIJHJ7LFiWxOtYPt4p3x+Vmpx60fD9W0tR8lx/AJI764sp2TRjRE2VfTutU9QS4ZqeWUukk4er3xmTtz2blyeOAcNv5UKjajcOr5v1RcNpncBDSNCqmzFNubke8203Qrtrjaqb5YqKuP4MCsWETVtY0ZdIIV7PTkgkMG4FAyvU1GBdwqBqXcqrxw6PKc8ISPK/XweQsOAtfTcU+PSHS/gfy5zt/2KaePA5IaFMghQeA17YEjcrD2nMnBd/JGH7H8k78eX/GVu1ftUtT4M+icaRmvGYnHrYMW2OAVsMmSGwou6CMRiklD15/xpZJvnkrDQmAnuySxc7EaErnuBUJzjgSQkhcak0rHgpFr85JWFXxuJa+6GaXoYPBOZ2xcDUr5mqvA7kApVfG+bwEADZsKki6fckxfO58P8bFPGRMtk551u8n1ov3zrBOFl1eCw+s8gNaj60n9/RHmGdRBHnvJVXT2pyEJZJKxgRqPlwpg/HdSwpyOjzqFvvE+dZvAbCgZRkkjGUHcc9U7caU2p/DtiE0id9v9KcbkfeyteDmKGjJX+jhLPTub0/IRLJ4whEkaOcP26RoNm9jklq7HdfXik/7VeFXL2Bqf8T9Xh/8vkJkTQ2bQEALpG0JdKS+nun1//hi9gE3jsblHMLYXpmXKWpRAo2acTEvm4H0L1erlmUgZvlyuG+XLUqK3Co66AiEobRPm0x3WTKRZR4NvQteG8QcGsBfKJ9WwTk3c4NNkddyhx5e21KLV8BE3bwqKxkRpX0a4KBTo3mGRYZdgtcL5TD3N25wfycCFSh7ZVPLgpvG9CVLIO8hDSl6xP35xL8a510YwLYv96slS9IqOItNR3QQ3x2RqYRq1G2zVOW3jgleOJDUv/so7n2GG/Is9uVcA36825ZGvmTMTVMPTePeOPubxYL1XV6fEIgFN230SYRH0IC9UDopCe88Pz7+U1CZZwqQ37Va4otoWoPpfnRQf3YazlE8rqfvOVuCZrkFi3djCGdcQHPAbSaHT5TVVu2xZYASnMV3ThIaqW9N3x6WrAmeGY3r84Kf9eeAT2ajSmoZ/TuBlG4+5/QA740ZNIsTaLaMq1nZjtFb4bU1xGLSJadV7LPViqoZGSqyGanoAHBGnndJt1EhaZD47cb1IMgVj+MZysaeUlJu97hp8hVsoZ2Z5wqSJVbap0MQk/gdjQsY9CxemXU3J3m9oX5z2g0/vYT7n4Oc+g9GXKmxJn1RhuzTm2HCGZhvUrPTEjkhw3G9Fp5b9Vuw+Wlam5Ofw+1pcM5RpR0LEqxn+VpoQJ6T19MmdM9xTGD9GVukNS0fD6q3/hiV5HO5oTsxIa7ajYPlpS965GH1zX/vFvJJw0ZXg0nJjD+Lm/nhH8rEXG6ehc+DByHzG4rHEYBXlHBEutP44VFpfGgWZ9FZ2ueowq9eUNu+3I/JVc0cckou5qUQDk3iQbX68148BK+iCGT2CRGxxROOhHwppQSxSiwfDeLmuYJo2sv3A7/L6WXtdhhfOYGJ9bjJsUwHZ2ZCUUI/NO4lJV28/AAkNcaVnCR5hyYdIVl576aE0uQ5idT0kjGdaD0FaVmsx5HpYXUbmiTqkakVjh7BxIx6cBKbgnOYVBrXYBwNTeFhSQ1u44a8hD8qBbxsdNCRnJLSfkckKvSDxHoc0XATX+t1sIFpWpsTGov96+UoKgbx+1IzHxl2BPdalHCLe88J/DnPnZRa9FIe73fShRAEklq6disNAtlJFJrESBOAULe1oFZ+1icNaGjakXRn81Yam6U9OpX+NQSK0UTL/JqanS5ZquSNGfWHv30Dhd8Yrqf4IVzjLND9r8yr8gNa0qFNt2x2Ktvxe7Z/1S60G4YF0sNQNK9DOzVowTxlSWFCklL87QlBavtfmVeRIUe998cS0ZdX7IMvx7ieVZ0/bEPI125brp2GTQWROhmXciKF8WdtoRKRy+85YUlCc8+Pd6hA2k3yZmYG9fpLlqQF+UmK3T++KN2MH8JmJzSN8yDejYIv8mhKxbu1ufZGRgLPKEdq/X4H7t1LCJxbXp+QgUDzajT+LcszQgiLDuB8YpHJjUT9ZkyTjUs55buXlPssMuR6d3x57XHZ4wZexg/ZshnltstrYxvasEkjcDtd2RMN5V7bkgms+KG0xNN/PyE+FqWU8txJoUk95tKSvJatun60S6b28bcn1KKX8nI+s3AldMSX19kdeqrMTIbgnCOyHzbf5pmC+JhIkaM8ZvGKjKrcq7NrtHyIkrhAUgNGLuZV6OGsWv7JADJGtFy0Yp+tljUi3yQ0jWK7KIF7jpt34p859KrbisHDC2VTaOjvJdGAvTWpnjwOSDOslBL/EkmEoSnc20ubksrruOCByBD+OZtlnpeL1uUlYZznqXkbss5YjyPbS89xS7D0sV5Xauu1IW069rMNgpr33ElBFnS2IJ4tegL9OYAFQpP4+UuWaDzyZUjI/BlIjDkEMU8hWDE0jedPdRuGWpTOFk/gWWTcyIBgeSclKeFN3x6Wey4yjC0eSZfNHw0hcXyPLVK/pheRxeTL2+IPJbgmNOl87X16TlpC0QxN4fusbLdF5hVIY+NsnrIEQ000ePwQVArcypEOWN6pPTd6SOS9m1LLGudxferkckqjKQXmkC7ebQtJrLwTDVDN+6PwbmkIDs3nJN0FknhuVWxbkGA9y9dCA/KcvNiA+KaRHEtUIgP1SIXy3UtKSBaLLBbATx4H1Ht/LMGK97qmy1wFXaZua0GF35yWSWPz6pwUndTAEkXpK6C4MM7nhenN4tSfsSXJ1HMnhQOh0xYZQ1HCEe05H+Y0uNdtc5n75LqXddkymSweB82HE7zaHZZo9J88DshnZZ6DgdM8XXCLhA5NbXlvTB5EJWN4kLAoLe3DCr7m/VHlOWGp8JvTKpBEYVb5rWMq3m2rFdWzMnElYlF09DPuJLVxA5oSFoTc+hSPoyg0LuYFhbqsYR4UMj3BDM7h54dHMOEMTevJ940Mci60LKR2hyVNC5Okw0fx2ZH1H+/GpMm4DuM3EZeeE3homucKQgXyZ1wdeWhSJ6i/OS1IU+NSTgrw8KjjJljrCVjRvC0p4cbFvCSdm2cLopn25VwjP7dFZV14wCxtTqnoIL7XsnfGQVo6ZIuHgzQY/nea/v1ZW4KqiO6NDmgN+AiKHH8W1zQlOL6cmxUTnMF/N89AYuHPoPhUSokfhJkeTx4HVGTIUStq5qRIZ5FZu90SaAFlZgzwEznOrbRMKgd+shWa/APwY9VvgYZ8zReHZavIVHkWTLyP67ZCQ00Ed91WFEQ0H7M4KBlDE9m0BoSm0CSm6Y0b8ir85rSKd7tSKW5EORkuP6BNyAf0RvGVeSk++Tv944uyFRK5VlTPihQlPIICkknrvN650YsOYpBCaZRxA3je6jYXW+3VpKQnjwNS6BLcwCl2+QF8/+aZgjQIPKMWrUMxTW+Er+AOXYikregAFCP0cFYF0u5myuvg+6VczX8/IVQy0gcr99qymaV5mkZtolM5FGKRX7vdEj9AUcIlawVStuBw/RnACKIDusBKuX4tyvVkg9erA/Mm8LtEHk0Bp6pDHJlqHTvspmRTsurLueGAZQdtGdzEenCvkLbFwEuak+u2QrpDvPGl3y5CGnjGVi+UTkooKHGtkSGNEM5oaZ4mLAVfmxOkesU+WxDWDNRrXo3zxDyNMNSmNTk3fX5U+2oS2CTF357AMOsEni/ZX60UuScHL0UJLVfSCGX6JYvmcU2Kh02fu2wearfrs8XGc638gKY06gEUaVB12/C+uLGh/4iZI5Qk0rjfsAkDu4ZNBclgqeiwxdtQMuaImZ2v6ACkUtzGMLuG8AAOHykZls1iDk1a8Tj8FnVbC5DF6kR2bsnqNyPnJDzqemwiQ87XDOhlXbbgmssP4Gf7s7ZkgsTfngBBUoNTqGio2Qm/Z/hNeG2MS6Ayloy52UdLlqYh+74O/1LTWjxHKKUkqGFZ47xq2Ih7LjiLz6Ry60ID8ixfCw3Ic/JiA1LSnZZC1mtho1GxzxZmuHENWFs+vI1r2nx8riAHcfioI1IQGrdK+x3BRvpyrgE8kLZlM1J20JYpbs1OTG7NW2lpLBo2FQTDGB1E0Vy/BVhAYmBrt1uypm//ql21fDzo+gKythgra1otVfz6jIq/PaGWfnLEnb5fhl+jtB8Pm8p2bUJ9CsP75HEAk3+dR0FPyLYv90sjUL9Zp3zPoSip2oMHMtfqXDXHu/FeqGuNHnHUz//6L8pz0gK95aobvEcvQfztCSAis/bXcJyek8DOeu6kxGhI306s15H3wymhP4eHM79TQgSMS2jg6rZZQqIxb6dlChgZRvHNEKcXyqdFLvHpn9GoEdsYnHFke7KiZk5VdMDQR2xl/JAtxK+ieVt8JizEPSeAqeT3QsKJ6HHfHQc+OO9SYcoPoFngQ6xxQ16u6drtLkPenwWC2Z+F5CA0qUlUvTqHYgrT9cq92GYVJRwJv/Lcga+IgYaUU7AQM25kkBqtgzbp06hstwVyoJSSRPfgnCsx+fTPAVCB9ASfaOnmVfAMcTNWckwXQocw/aMUiUU/6W0MKKx5f1QalfghjRxtx+/uy2MC2rgemmuCDtiAsrhgE0/Nenknzgh/Bg9uJiVX78K17c/g+h78jy2Yglu4t0v7cO/7crYQtCh1iQ66UIJ/fIVHsamk7Cs8ogvYw27B4rmTUua5gmyO6MGKHUahad7MqKa12KQsWZpWb/0xCmqQ3jAal4Gt5gYqOuAW4aRJjf50o0x3Kc0gmrR2u6V6f7Id/9sbM2KaZSaBeQ7FdP0HI+LtKN+PCXHDpoJq2Ijfp2QMk/WaVgwDOICo2o3PPHYY5/HSpqQEJSqlcB5oXxU3IbFeR2R6XgufCYP06I0i3puo75Wf9UmmBYEKHT/YIwZ2boS8d1MYNOkwN+NKTq38rE9QuUxCD4/i86nfXBAJG7OhardDPlixz5aU9NI+fNfmae3h+GQAzxyNql7akkIhmnGbpeZVWZEmVuyzpdn22ihqOexQSgEkoSEXZQdt8frFejRG+U5KNWxyKYP0N9JcbZ6BDIgT+IoODLOqd6GxZ6J8ddtTk/seHdCatAUzW7nXVi/EJ1Xd1oIQwsxbadXxgz2ynQkk8b9xc+B1LMFPs7nn4IODwdJ+R3Dp0UFAMqho4HUXHsXPK+3HM5tF99Pbx9I+LU27lxQzfXhE1wPXs0IMjHe7272KDvyMWA+u94oODOF8BVt8csFZPQzSA7rKvbgHGMDIwQAhBfQjMRiZQYtNa3MCOzGuZUVSGxmGFLRumyVBs8EZyMa4pWSQsHkG+H/mYZWM4d+LDjqCn/blMMgpe2ccJKyr2QUM7zN+LTQgz8mLDYh/LC2rdHojqOkMj+qb9TTwnOERR1LTa1rdTACa3/z3Eyo0iQOIRlfz/2fvvYLjOu9sX9dUzcu8zovn2LN3J3QDjUYDjZwJJlEURYo5gxFEIAAi59gAOu+9mUkxiVEiRSVTmQq0RduyPZY9tmw5jO3xeDwe1pmqOXem7svUqeF892F9679J+95b59a5VapSoatctiUGdPfe3/6HtX7rDKaGS1alRf9P7X7BGB4ygaQt02pOHMhiD03hIIzcmUKOxc0FeEayMHOXtKEpoV675M1xtXRpUqYeNZtzcsBRY10whmK5bL+Wi22CB6ZhTUZ0o+apnHxWXht0qSWr0jK1Ms/kJOchfxzvp36tm8ReOIhGJBjXQWgXMhKk5Lu5gJ/lasrFDOoU7eDLcfw8FmQxvhwKWK+NIoNSCN/NBQk3i3a7AWMNazKSn+LLuLSdWKsrJwhNOmrLx60qPIwipWZLTszBNHgTEcwNEo3zBWOQRRkXIcWJ3JlSSinBovJhFenV0qWrKWlS/S/OgU6iw+7K9+LXV+60HpvAGs+5xQ0n/gwUK9+Dz9I8pY3et+eU5xjwswf+Zq9MOHd8p0VFeh3VtCIlmM1IPx6g4RE0FEkUsL4AACAASURBVMG4IzInfideBxNIUsoid6ZAk9EYTk6Giw/bYmhkkUKUrD+Nhujf//BVSahnaFwgoc21V1MydWfYYf64Ixjp4KwjBW94WJtN9caGU35u4piF4s9gahrtxMOU11TskC1T7JI2XAfhIb2l0Iz7+nXYXjJHhEZtfwYyplgrCiI2Tyzs4z95WtVuzAlGlDJGmqF9OTSZ1KVX7oL+mtNxr4VNUs0WNAN//OLGwf/inASIRvrxd+e/OoPNwiT+v2j43xyXwFT6EGKHbAk8bPqwX+VPYKJMuaBxMaP2fG+/+o9/9qrgDIqz4MtxdxObwZ/NcMjiDgApuFGhV4Lp8zTZl+3DdyUyNp1ZVLMZzRzNsvRVlB7Ad+45bkkDka9D8eghIf720ck+fVn+lBu8ajyblXOYidAlbShgiZ8m0jeQ1BvJjC2o1rx51xReOOB6n+i98WVQDNZuxPbAa9nullDLiRqfTIO8l7JlSx2cxT1dtUPnBVmQJTIFm40+vVT545o8lcLPVbkTZ4dxETr9imZLxX/ytMqbw59ftwFTeMrEaLDOeymu8ifgeYncmcLgSm91Kpottbx+Qba89WuzssltWAN6UtnbY2rXdw8A5bsR24X8cfz+qu04Y/InMDmnjIsNDuEi9GWEJh0JVPSncdb7U7ZICxlIyu2JeQ3PtNqNOTHnFx/Gc5VAkdCU43oJ44BHUDrpy+He4YaWqGDzdE7ONr7W3O/CVjKJbUDTipRsg6rvDguEYcmqNLyaB2xB+nKjFx7CrydAoXAQUjdf1pYQRuNKCnTDpyFXq9xpidohsOCiyau3YpO86dttypcBKCfahbNp2b0+VbspJwGIpQc1drcDvriVlXFlnsCZ2rQiJbLe4sN47k1++ox4M80TlmyySXBjvhRrn9oV8cUG5HN8LTYgX5AXG5DIwYSs1wsHcRjWrc8Kbad2IyQj0dcnVcEoDouSdqAt69dl5cDLeykuRVPhoE7rfW0Gsqqki5AsOoIiq3yvJkppc2HhoIv742SKmF1ZE59DYCLNgwVjjiAFSRLxWm6oXdUOSKNo2PPlbMk7afxgQJlXU4Ji5IbC61gq99kTj1GwzNOYCoamkXvhOYYE8kivI8F/xgVow1lsM0/B/+IcJqZvTKjgyyjuHj4IqJrNOVX29hhM3m+Oy0M/0udIrkDJm+PSNERfn1Q1d4eRon3QVs98s0NwkiTehEccmd6W7bNlWs4gNYapyWbokC1m89CkI/hGknKKD9vScJFYQw8OCxPjgg5DO4xrItqNLIZAUhfjGXwfnT/YIQW0eS2pmlbg39FQ+PBBQC1ZhcaNU7dYC6QoRB8vXZpUK8tnVMFrMyh6LmREox5rQUESmkYRHO3UqNsBR7TLYz/eoDxHMY1n8ee/NY+/r88RzHH5Hlt49eV78c+oB6cEhteceUJrxochx2MBGZqCJ8l4Lo0CXW/UyvfgM2SIGQ3noWnIy+7/1ichccRUkl5FSlCsBUFtBWNuUCC3OXXrUXT6bi6o5bXzIMnoyWRJm5vDUXQERKH5n6yR6z9wew5krCfTUkhSB/3wQUB95x9MFYw7quOTXRLUGJrG/Ux+vj+DhiiwgM1HzZacyE24+WAmR8v3m6VAp1/oj1/GOdB3wiPYKGz5uFWADqQ+USZTvscWWpBxPiNbSN7z9EhwA2deTT3mySGRp2DMpb5Fu90QskASBXb1NksaAr+mILF5Zw5C3XrI90oPosGK9OGsqNkMjDZD2uj1IuQjPIyhSelBW0JbI32OfL7FHRoxriWxSikp1vJfnREPQ6Tf9R5UvjsC+Yv2UZTtw/uo3InpPc9Bz3EU/n/3j1/Ge3txTtXcHZacj5J2V05VMOYISp0kIa+F90IfCrNZKndhC5M/DulhpA+/v/eHW+XPX7oU90DlLuCQi464lD5KLPPmsd3Ln8D1XbHbEllXUY8j97p5TQfPXk7Le1RKyXbLcxTbBPOEJSjiit2WSPgoq2IeRKTfkWbDn9bn3nMIG2SDQW9b9VYM3ygJbHgqI+GBxrmsQALK9rsy4tAkrp8lq9CshSaxqSvfY6tVwWG1snQGmHJ9RoWH3ODGJStT4kvLeynuYmt1ajybt8qdgEwQ8Vu/NisGa352fNVuyqnqbZY0QKEpR6SsKytm8TzU+N669Vmh1DHhnAOm/An8DJTLeY6hwDfOZYEWj+M7plR0yaq05It4LdcHteu7ByDj0tu7uvVZIdaxgS9pR6PDbf+ye32oTXZYMkwxrydV0RFs0es2ZNWyhgX5LPkMCQ+58BXzelJVbXfpoL6srfyjycUG5HN8LTYgX5AXG5BwG7wLK+71Kn/alpA5r066bfxgQPwTqz/qVp5jMMOWtGNSVr8uKymrnHo1PJURuU/pW+MIO9MT82gXDvHqbZZM64zLaeAmtRa6fm1W6BUkO/GwMs7rVNasLcXBo9PpYNxNnI30ufhOYkIj/ZjcbfhWuyocwMO+cXVGjNZ17w0pr22pLR+3ymf12q+jyp+2VfcPt8sEsXZjDuFjeiJeOIgiWT4LTSExz0BfXLUDE6rAAjTUTJWWIDItL/G+kFCBBb3V0cFvNMobV1KCqLz8y2po7bXRnoc8PRc1d4cRtMTmR6+iaSLkZ2eezGFaej7z2OSMvgI+7H05W8zUxBiWHrQlB8Q8qfXpr8wKlSZvzpEGhxOrms2YHJbv0ajUZm08PGG5eNs4/p6G9weVeTonZLSmD/shu9uBIpDc/PAwHvhV2/GwKWkHYY20MuKPgzOOPCSDM44UEuYJS1CMXp3fYDyHz5PJuSVvjktoFTG63BDwc4odcg3pkV5o0sd+vEF5biTEA8KJObeOlMv4U9ialLS7k8qaLTlpDvNeigMTeT4jxDA29JTfMbCTVDRmKuRP4D2bp2HuZG6EeT0JOcUQJqJsDit3ofhac78L08gk7v/YIUgAQ6/MQsOvi9KiHkhnyNb33VwAevt6UkhLlL4EkrbKf3VGMgbou6jeiuvnj18Fr82o5fULEsYZHsbPWLcBspzqu8O4v69A3lO1w1IFr80AfKA3mdwOlR50AQjemwviQ+G9G5py5EwrGMV3w4Tn4CwKes/zCWWcy0pTR3mpecKSAMLkT1cDHX0uqzw3EiLJaXgaHq2KZmyV2dBX7sT1V7M5J5hgyk4j/Y4MQARhrUlgvpwm0Gn6XN36rFq6DKZobqQ8R93tn9eypVnwZ9yCbsO32nHdHYcklYCDR+Urr/y6RMIlq7ZbgpkmXKJqO4p583pScmLq1mfFI2WesCSsLjiD65HhrfXrssqfxnXPzBdCUSp3WQLFoIG+aoclksCiI47g15n4XbZPJ4i3AqPL4ppNBHM8KndZEjJIkIVg3I9bEm66ZGVKsKzM9mAAKr+fglFHpvgMAc2fcITSRTxxeBjXPRt1780FaRT9aVtkpKFJNNnhYUdyfGQr2+uIbLJpeUqe2fw+H72ezWtJZV5LyraPjTZlqWzImla4HpCHDwKqqMdF5VfusmRjQzkuAysDCRcyYVxGAxW5MyUDR8os6bMwLsALGkjY4tcITbtELG5xAgmoIhh+HOl1pW/emwsCUfHeXJBNL+WuHFDmvQT/T+lBW0Ihl9fOwz94PiMSNG5qzVNovPgZc1vTtCIlDVVgeLEB+Txfiw3IF+TFBqSwLQlGuObYBxLapDvySHDXFfeQoxE4b86RB0ZoypHVeN68LQcMH7z0dRR3QAdtnM2KR8N/a15Vb0MRGpzBFI4bj5bvNyvzWlKCAGk85cM32umGnBUOQIbBtNXwMCZ4LBbz5rGCNa8l8WC5Pae8LyTUiZ8vxQPoRgKSIU3hepSL7s8AIew5bklOhXnCEoRp/gTW8wx9o5mZoWCUHtSvxYM2NO2oEz9fKia6kjZbiEWcKIWm8FBn0VU4CE0vJ7iRXkdV3x2WzQS1rV7LVp/+7isqNInCOZBEU1DSZqvzv6hXgYQtWmwWv/S3sDmhmdy8lhSZ2umfL1Fr73dKQUNpF6ewxHISd1zShgd58WEUGF7bkvU4STH+FB7UxqW0Kj4MSV1Fs6UCC/jMGldnJEyqarsF8o0uphueyqimD/sFa8n0Zf+Lcyj+zmfU9KfrYKzvwkOURSknXjVbsEWp2YLpYrRLk1YsFy/tuQHCEDNtun+4XWR9nuOWWvn1HjFK+7KQCpXt08nfb0wo43IaHpHL8IAYFzNSZHJq6LUtkc5Rex5rdYlWfOiyaaLMw7iYEewuCUbL7vUJLnrbx4fgkTiGKWSk3xGGP83Cy+71qcIBjfe9mFGV747IRjQ0CV9VeMQ1yxYOuBuHhw8Ccs/T2ExSHNGpgSS+/2g37k9OrDs+2YUcE52+bp6w1L//4at/ck4Zz6UFqxxrsSUjgIMQau9L2nV6taZJRbscQSFTh1/RbAmcgNkp/KyiXY4QvbhFYWhqpE/r5o/ge6xfl5WinqbfknY0fUw1X/1Rtwp/bVqGKg1rMoILXbIqDYrWpCNNmz/topspkyk64jYLdeuzkkJtXk3BM/fqjFJKCY2P9MGK3ZZIM7lJZnMTHnLUqsJxbJ3vTKFB0xjUhqeRPM6pd0m7lp0ddgM5G57G9VvSjmvAeC4tPi3PURSm4SGcPQRnUF5WvTUn58CGb7VLcGBFsyX3TGgSzxU+Azg0IqWvohlnHBvJYBxDlNghW87WvHlbtu+xFltCQGs25xAcegxeNwaNMsOK0A1KKgl/iLVCQmdeT6onfQOCTQ5N6iDaXjQSPv09EfhResAWaSURwgVjjpi/jbNZV4Knhy9sOjp/sMPN1FqP+8m4lJbUem4ygnH3zyk9iAFB/oQjCHya8tkMM/OE+SmFAzpguM993i2vm1dV2wFqMc4CP1/RjOaKmS3McSF6mx5BAkJqN+aEmpY3pz9HbcCv2ZITX1fd+qwMjoxzWeV9AX4u7wuQZBvPpd2m7cU5VXRED4FmtOdRS0iZtURMM/1uxuW0u525nlSDP9osw7XCAR1mq5u2phUpDAi0T8mXc+WHxjl8L8b5qcUG5HN8LTYgX5AXG5C2+5uk8Il2OkI3Yu6C/9Y8jGJ6rR98Oa6CL8dxIKQ1oUgbko2LGcmSICP/7C8aYZ68mFHv/KZABRZcBnjxYVsM3ub1JAx1eoLcuDojJnfzdE5QeixOzZM50d0/uirnzxoewfTHuJRW5rWkTKWN59KgQu3B4bzqG0dABtJYUWqsw1+bls/KcyMh03dqWok9LT2IySEfEsxcKOpxRGttPIuJKvNPaPb1Oih4mJNAXnn+OH728BBW/6FpPOj8t+axfdFGSc9R/DNuNIzLaZez3qPDtF7AxDZwew4PY31Yk5zDJGhuXozLadHwVjRDjmOcz4iGOdKP7/LRqZFSSnIdig/bUqBwS2BeTUnYZeEACpHCAR0stiIlEo/qrTATRl+fFNjB5KfPoKG9PafMU5BWlbw5joDKZZjWVzRbyryWBKt9xkWH3vxVGQzSWle+7F4fMmWaUSgG4yjYKnfi98dabUm2rt6aU2vvd4run+83OIvJ5+Snz4i0gpIm0uRCU67+OzSNsEgarGs2w6BZuVNnwGjyW8U7owib1DSx8DAarbw57Tm6mlINT2WEUuQ5igKcso7yvbaLYO51mfwslsr221IEsbHNm3Pk39NjVL7Hlq1P6QFbchPM6/ism1Ygb8R4Lq22fNwqhTQn+Z5jkM1w4r76o25lnsD9UXrAVtOfroNfYUJfS3rzVjCKIu6PX8ZZPPirt2GjWdKGn5EEnUDClgRk5szQ61D61rhaXr+garZgMxHtdPX+gQVMtoMz8DdxO0MyH5O6hU43j62kL6OBGVr2Qalc0RFsjLwWGn0aZ8v24Xyq3optnD+DDZAva0txzgA24yzgHfXrssBGn0ZjXLsxJ5sm7wsoIms2I7NJKYSA+jK49pc1JuQcKj6s0cga/01ZFotYflY8O2mKLhh1xI/BJmvFvV7ZwBJ1WnhnSvwrpBHFWtBwxg7h8yWalinTlTtx5uXN66n0IWxUKM+jBI0mZN5jDBCk3JRGekrZiNj2p/GdkChYvTUnw6TYIS3nnXJzh5jVVLHbUoHbcyo84qhlTQlsRzr1kOdSWnxoeXNuA2FeT0rOjnEhI8GCoWmXhBftwlleelBvKHUYZaxFe6o0dKJufVb8Ub4s5IEM/mTIH2mB4SEdIjiCrWswjs8s0uvI86bxSfi56tdmJe8i0otziQMUhnaSlMZX0RH8GsqPmlbgPmlYk5Ggw9pNOZHgeV9ISD0QSNqyOfRn3Ewpz1GXMJk/jjOURC96vEifrHx3BAoHLT8NzuA/vCbM0yBsmmdygqZvXJ2RRPjQFOqAQFJjezX5cO39TmVeS8omj57GvDk0d8Y5bOyWNSXE4+W5AUpo03LIFP/anl9sQD7H12ID8gV5sQEp24JQwUdTb1lUxFpsoct4jlrQomrJTrQLxTEpFoIP1VIS5lbkvRQXqcLkp88A19gJXSdxo149jfJl8PAITWN6RxoXGf2c4FVvsyTplQe6cSktjHmubTkd81qYIJsnUSR5LWwF8uZx0IdHoJM2T6OANJ7NSsCeUtChS57JCN4rdeyFd6aETc4GiWv/wjtTKm/OESkUpQjyd+hCjIQir9Y1B+PuhC2wgKlW6QGXTBRI2LKWDtyeAwayHZ9R0RFIrjiFzpu3JRGextaSdjQxYvDWGxCakvPm8GDjz0rjHvGPxBGHR1AYK6UQCNUNc3fTipSk7VbtQGNXsxnUkcp3R6D/1ZspIkOX12E17su6xlsWDEtWIlAucHtOCEKeGwlcF5cw2V9eNw8JyAk0F9FuR/IpzFM54dh7bUsKrMqdlhT59DoVjOFapXSMZlg+DIkTJl3Kl8O/K9/jygFCUxrPOoXv3OtYktlQuRNFXdnbY9D2a6Tvyq/3QEZyc0FV7UARz+8k0gfvFX0Xq75xRBmX0mrJKiA105+tEpkaQQeUb5H3T+pNrFVL0bR/JJDQHH0bzaxxFpIRYj9jLVo28sosjP/a4Fm13RIca/keF+NKuSMnwJw0HvvZcjHg0h/AYpdG9Eezd/gqPWCrn/7uv0luBQPaGp7OuMWsJjYZZ7MyACCdzpeDPp6mUxpVQ9MubCE8jKKG9yQ149y4MZsiPOKIz8M8mcN3dntOcLG+HEzX//OffZCgvIVNw7KGBchNcpqQ9saEEMaCs26+gf/WvDQX5vWkkHiCL8elwSAUovSgLWCDyl2WbDui3fAPVOzW189LccFKc6NAX0zolVkx/ZIex2C+YNyRe4YGd1KJKHl8+CCgajehUCWljfQ9fwZ/Z1EPitmCUUeAC7z/PMcQbBiccRHXvhxkMvQO9f/tFhAT2/DzUbqTP46zJrBgS3NtXoePhBvcpcvw/6t2wAMS7XJhDdFuXJfmyZyqeGdUMM++rK1O/HypqtkMeU7olVmBqhDsQT8HE9Pz5hwJvMx7KS5m8YpmS7wOJW24zmo35iD90ZTILR+3qsI7U+Jf4rkZ7cZnwsEMtz3PfLMDhfFxl7jFe81zI4EzUOdLLVmZUu/9fQib+kuANVDyGpx179PYocdN6KRClbTZElZLuiV9VGxqgnFHjfxoozKexbaLPqGK3TgXgjOuhKqkHbIq41JaMMue43qbM+z6bKJdOqS0CwOquvVZ1bQiJVu82k05OVcJBeCzl8AN4r+jnY4MSWMtuD+TP10tTVzskC0NcTCOM7KiGUTCwgFskcv22QIzKWxblGB9nq/FBuQL8mID8tfWvBTHXhs3bXgIBQhNnp6jMI/5srb6j3/24kF/DIVeaAoFr3kCh2X09UmRr/gzthSsxYdhpK7YbalnvtmhIn14AJS9Paae+WaHMq8lMWHMuY1DeMiR5ogYw8LBR6a1e22RClVthxk+NIlCNdqJQsy4mJFEXKaw03Tqy0Fe5jmKTQuLsroNaKT44gaheiu8HIV3ph4j+VAu4TmOgpaFnef5BKZ6GqtIEkzZfhRQnuOYutZuyqnGDwbE1Fp0xPWS0OBIBGvpARTUxgUgTv2a2kW6DIuULR+3CiGJad/cDFTuwsMh2u2IBKPinVEU1XFMtPLmtB/GwWFc0oY/i1K6WAuM8CysfdozxAKpepslRQVX/dwEsFj135qX6TUTt41zkJQRrWxcSUHyN4+HGn9+bnGKO2wxg3tfcMlWbKCIMPZlbZFKUTcuTcU0qFlLVqZU/VokvlfutFTw5Tga8zFM9+rXYUJGIpfxbFatrIyLzpmo0oIxvLeqHdgUUBKjFMLQPM8nBC+a++wJlTeHB53XsdTyOuQ/BGcgj6JfJG9eN2cvJERjz2wcXxbFJBsL42xW0p2Dsyic197vxMS0FfdC04f90OKfzMn1bjyXlqKXRmXjHCSH5XuBnWZoYKzVloY9bx5/ZrQLDSnzeEJTjuR+MJSPZC/vzQU5W/xpFEh583/qAQnOongwLqXdhqwXhZg/jc+EEiMG9YW/No3mdgeMt57jkLgtWZnC9XQlJd6w/Am3EKtfl8WWSZ83Ba/NqJ//41+JcZbbFwZmUl7py+FMKepx1Ld/60Wa+oh7TgWStkjAqCVnoeRPoyg3T2MryF8b7XYR1EtWpuQMLRxAoca8GqWUTPPNUzlVszmnltcviGSJlCtuU0rabCEClrTjO6Z/zjydU8bltNr3vX2yAeOUm9s0zzFLJFMMgpPmpMvF/0b6QT3igCFvHo1V9TZcU7EWNIQkB+bN4bqteGdUttj167ICD2AzY55CY1044BbT7/19SIY1kV5NgHseTac/BSmkUkqAGKUHcDZ7bcBEOAn3Wmgg2IA2vD8oOUjGBfgEA7fnpFEIJFHQ8rOjWZ3G9EgfrgEmvtNIn/5slSrf60py88dx/XqOWqp+bVY2RsxXMS6nhabX+GRaLWtKSLNPj0hJO54L9etwFhYdwflhXIEciTJo81oSzbQeDvF6fHTgJn4vvbWu3QQPknkqJ2Z0r6Xl2efQeHhuJJR5PaliLbZ6omQKWxwdCFi+F/d+6QGcMeERDSZwLJGO+XRTWLM5Jw05fTN8/pBQGZxxcf4kQtI3WfnuCBqOy2m5dpl3RL8ZfSz54zhbyvfge/daboPptQHWIS686IjGUDcvJqF/nq/FBuQL8mIDUv3knOh9AwlbcIc06lGDWXzYljV0UQ9uan8ah3t4CKtTShyMc2hQGtZkRDdunIMEoGl5Svmytvoff/iKFLoM8uPE3Wuj4eFEmjInZlWYV1NijGWYFIv3hw8C8gAjbcZ4NityMdKKjAtA/5lnckKUWV6/gInIPvxavirfHVHmqZw8NIrfmBC6R7Rbs+63QCZRvseWHI36tVnV9sluVX13WN5DYAHIxfxxR4IFfRlsOXwZF8NIMk2kVydQP5uVqRjNkNFOGPbN60lXAtXhSiQ4jafGmThOrsvNq0iApomaIYr+DKaJ+eNaCnfccqdgZ7Nq9UfdCOl7Z1TlvRRXSsFcTcIWG72Gp93vpX5dVnwURNF6by7gwakJL5G+RyZQ57FSLxxwTYmSzj3uSlvoySFm0mtDp1x9d1i8TN4XEpBYtaDQ8Byz5MHPos94Nqs+/PugFAvBuIPpYU5fU5eRz2JcyIimm++5ajumqoEkCkQ28cTVRnpR0CilEGipw8l8GVuuy8DtOZU/AVIX30toCsXUO78pULFD2BLEWm3Bh0b68HmHhx3xX9RsyQEakMW9G1iAvCE84uI3zWtJwVdHX59U5vWkoIdjrZp0pgMiy/fiPqvZnBNpC3004RFHzgw2I6UH8b1U7Ibsx7iSUo2rM0L08loaA5vARpQSoeptuOf/+BWahgymcAB/V6wFBYjnqCXZLMUd+P5ih/DvYy3uJo1m5MJBF2sca8EZt7x+QQoOSg7zX51RgdtzalljQpmngOcm8S12SOcj3ZkC2voQhgfG5bT4wZqWY1Jb1IOiOdrpCOnJa9niy6J/rmq7pZ4omVKhKdfsGul1pPi7/MtqENeupIT0Vb4H257f/f7LSiklxm3Jwzig9f8Z2w2vTNoCDuD7qN0I74R5EhuX2CFbGnXjCpClTK5manjBmN7AsnE6k5PhTWgaP3fDUxnZMIm5/+aCWrIqrerXupkMRBJHejWKXMt0PMcsIS3Vr8NGu+TNceXLgQBW8uY4fAyHbQmALN+DTRjhAdVbc6pylyXp70opmZRTysUG0Tifga/oRkJV7LYEmBHt1unZPa4nj1Ko/HFshRmWW77HdmVQGmFLbxLlel7LFtkXB00Vu1GgB2cdwfNWb83Js4ASVZr3+R5L2nANMeSUHiTmshgXMyKrLt9ri1elcABnTUUznl9E6D8qwSoc1GTEKTdIkaQqGtnL96CZ46aHeSWFd6bcxPoB/KxLVqUxjGvB2VJ0BA0PvVxMaC8YdUMPafbnf5bd61P+W/Mwxus08yUrU5LzFO3Cz8otiC+rPTda/sgNppy5ffh3vpwmMV7MSAZI6UG9IdONWqRfezjXZZU3vtiAfJ6vxQbkC/ISE3prUpjv1VvxMK1fm5UCj2nM+eN6mnkIB0tJuw5LW52BLv6DAWhu7w4D3ak9IyXtmGAw3IjTOs9RS4L4ZIp6c0FF+jANrt2YEzN5cMaRsKHQFORWoWlMg4xnMYnOH3eU/bMVqqQNP1ftxpw8KIKzKNSDM44UI8TUNjydkSkz/QPGxcxjSFD+M1/OZf2X7wVFhQ9bEqKalqcwHWrBARua1pPs3Zakuka78f4jd6aUT5O0Qq/MKu8LCRRN15OCDPYcx1bK83xCTX76jPwz8zQedpU7LQkiezQjovuH2yFRSGILVLMZWxY+qPwpTPWinTDEM1Cv8cm00KCIM2bQFQPeiMVkyq5SSvlTtphmjbNZkUYsa4RUqnF1RgqeWKstUrNIPwrphw8CwrqvaHYL+minI8GSXsdSyxrdQMCVFZAFhYe1tOIWsLOBJB7oLBb5UGYOkIHKYgAAIABJREFUAE395klcI0zo9mXcqWTpQVv1/nArJmM6nZhIYJLZvI4lwWFi1J5AU2Sezqlrf1cFJOmteQkiJOJ17f1OyRMwrqTQdOo0X2YARPrwv6mdNq6kUGi3YONR0WyJRId5Ats+PiRBXkuXJSWdm5pq47IOodRhisZFmIZ5XXmOWmpFzZw0SBW7LckniNyZUnkvxUFh6sW977UBB9j3vX245/twf7K4LN+LYpkZCV7LNdoSHsGmsnpr7k/OqcpdKACZpcC8A0q7Akkgnj3PJzDBP58RL0UgaUuz4Mtoipu+xj3HLbV0aRIyEr31LD6Mn43ej2Bcy1N0cei5Aa37138bUP60LZ8T8eSlB1GkcPK+rGEB2Q+HbfFJsIAMD6G5nP/JGnhorieV9yawoJu+3SZTY89RFGC+LDwDzOsITTpuYb0fBXDFbku1fL9ZQCLm9aRqWOMOY4yLGSmuB3+0WfwHvG49x4EENy6nMSDQJKeyfSj8l6xMqfI9+JkivW5gWyCJwpobNG63me9BQ7TxHM5tevRCU5BY0eTMgs+8lpTkcM+NhGTQMKww1mpLWG0giXuW13zREZcuF+l1Ja9KKWVcTktie/U2Sy2vnRdpk3EuK0GLxvmMKwfVG4xYK96LL4tz03PMEn+SX1PSIn34eXmtEtUdHnGk0Ca8g3lF0dcnRWbF65fPrbL9tnhoCD6o3ZhTy+vmBapR1KM3+edBmfK/OIfnTIs7YOEUPzTtfn7E11NO+mgDUrHbpQnmzelEeY3jpsyPnh5uQrn5Ni6nVd0GbLVK3hwX78mKe70yzMib13k5fTjTGp6CnDKwYLuDlRfnhJbJfCZ/Gs0t0fIbvtUORQIN5N1oroIvx5EZo3OP6JvhkCLS7w5IgjNabnw6J80qVQkEmnCQ6cvYquyV3sUG5HN8LTYgX5AXG5DFG2nxtfhafC2+Fl+Lr8XX4uv//bVYN32+r8UG5Avy4o3kmUdGQcNTGWWehH+hbj10neV7tFH3DIy6wTjM2iVvjktKedUOEEDM60n4NkYwrfBa7sQx1qIJSIPQ8HLiEpp2p30FY9gKkILlvYnpYeW7I25gnZ78mafhFanbkHX1rxpNGIzDkxIedmRyyDBAr40JL6dq9euyMq2irKZsvy2UFb4YyGScx7aEG5fiNyZEfpA3b6vw16ZBadJ6XJrviDgOTWKa6HVgYl9xr1e2LkU9+CyMixnow7WeetO321TTh/0iYcufcE20q/JHgbLUpmxOs4o7MOH0HEcmgnEBWxoGtPlTeir/bFZkLQx3yx/HhJca8eptoNPc/lUp8jnGHLX6o25VOAC5UGABU9hol+PmyWh5Tt6cI2GQvhwm4dFuve2yMRGmLGp5/QLoNFqKVfDajCruwJbKl7EFT9r2yW4Qi7SPxKepQtxuManZf2secrc+vVnQmwRuVig7YABgw/uDyjibRbr2lZQKvhxXDx8EVN68ra79XZWq2ZwTGQpzF3w3FyRxnNNgInsZLBmacsSQqZQS6IBxKQ3v0ZxrGmcKsy8L2ReTpzs+2SXeniUrU2rp0qRaUaMnnVoT7bXweyjdqdyJe4FhZKEpV/ZBvGowjglk4wcD0JvrkE9fFhr54AzutdqNOWjmX0hggzTiynIi/S5Kk36eEz9fqvJeiqu/+QdDNbw/qCrfHVGv/LpE8NAMJjRP5wTfHGtxTdWPvgheKD2ARPbQpJaSXYH8om4DiFGbvt0m9C96oUra8B3lT7jZG7w3zetJ8Rl5HUuCOhm0yb+HJvfajTn5tcd+tlz5M5o6No3tLPM+KJcp7sB5QJ+K7+aCTGO5hTAup11P16W0angKPgPzKgyvDFIkMS40ic+9ZktONTydEXQqAwgDt+ewIXkurVZUYdsX6cU9SP9NUQ82f+V7cS4GkrhuzDM5lf/qjOr+4XZV1ION5MpK0A6Z50LaX8Eo7jua/M1TOUlnZw4QCUTEARcOuNkTFbu1920jNgqUJfHeZ94H/T/545CxGZdBMCzbr7NS2pB2nTenfRo6jb34sC2ySOMytvZKKWwibiRkW0JceEWzJds73isEdFDuVbch62JbJ92UdeN8RvxBXseCIftcVq2smFUlb44DhqClv0Qy09NH6ZJ5PYlrUtOyPEeBKmYwbulBvTXUwaV5cwidLHlzXHyOTStSqmoHtmXBGYQdUs7suZGQbUogaUs2T/keW9DIXsvd+Hf+YIfInChVq9oBMmDpW+O4FyZcAldxh/YTavS8/9a8eu3XUQms9OVs+fvz5rX8Vm80CFyJ9GqT/80F+BpbbFX33pB8H/xcQtM6APY0yHbG5bRAAcyToGL5slpGrANp6dsr249Nh3EpjWfGrA4wbNME0Csp8XGa15KyYSO0pnKnpYzMwmID8jm+FhuQL8hLggjbgRKUgrkPet3iDmhaS98aB50nA6Rmzd1hkYZ0/3A7qDYpWx372XLlvbkgAU35444YoP/p91+WtSZJUvSKRLvxa2ikvvTLWjGIBuOOeAGMy2mQrHQDUziIg40SKMo7SGDhw7Fqh6Xq3htCs5KzRULkOY6isWw/DqvQK7PQ7W6HxONRJOjDBwG1+qNuFe3CwzP32RMwqc1rBOPFjOr/2y0osi9mgJTUGtjYIfwMxlkU9+V7bfXh3wclD6NypyVGuKIj0OgHbs+pZU0J5b0Jeo5xCYXK//kHQ/DBRT06gfhiRjWsQR5E4QAQiQWjWO3XbYAm3esA71i+F4dyIAnZjnkqp+reGxLteOGg8xialb6e2o1oTKu2W6ry3RGRB1G7q5RS5vUkiDZxV6eeN6/JZlqvzwBAmudJryEdp3KXJZkDlCGR7f/wQUAQpv4MvndiMENTKKr4gKN8oXAAD7WC12bUpV/WIkwsjsaJRKPQNB7mbK4pB2QzO/bjDWJcNS6npRg1T1gCOggPowgtGHOkUTKvJWFibAHhipkN1G+XvT0munlf1qW/BRJoWhneyCaN6ecsiMLDADgQHOG5kVBNy1G4Nj6Josu4lBbkaKTfkc+8ohnyk4anM5JTEJyFVyY87Ag9K3B7TpUetAVDbJzPCFqT0pXQpKP+/Q9fFc9B/jjeH5uAWCvuCa8N2SAxnaFpRzIDmAzvOWb9yTkVWMA/LzqCz51J9wWjOoBOa/KN8xnV+MEAMLX7UdSW70XxH2uxJY278ck0KHAbdUBhGu/HuJyWwrb0gC1BgF5be1m0XJH+K3q9GtZkVFEPzMelB/DnFg5CM1+13RLKEM3Z+ROOGJkr3x1R+a/OSOZFwWszEpIYa7UFOR5IaAzrIVtVvjsCf9WajBSNXsdSr/8mIs2mL6t9fO22Wlk+g5+hFcVdtAtyTwa2GWcBfTjx86VAcO8BEpZNYulBt5CjfCo4i0abAZ55czgbKIMzTyGLZMnKlMqfcMEP5XtwLxsXIReqaLbU9KfrxGAdmoSMkP4s4zwAIjTSExbgOYqhyIp7vUBMa5pgaNql0uVPOJJ0XzCGRi3ahc/YPAEJWekBW8zxZftdKIE/gybQOAeqIM3M5hmYvL2WDnGcdOVelI0Zz6VVpA+DkspdGJSs+sYRoG234BlrntAkPB3CWHQEn/OSVWnJe6HkiUGM0U78HMbltJwhHG6VtOP3mifx81GWRWkWfRwc0JTtw88vuPrTaCj4Mi5CVk0Mfkm7iwmv3Ilr+vavSlXTipSL291lCVmy9K1xnPnHYX4XIMmIO+wzrqSUeRpDnUACtUDjBwMIpdRyyaIeNFLBGZyFoSl8JvVr0fClP1slTYQ/jXOk5M1xtbJ8RnwoJe22gEEKB3DGMXWecjx/CnJb+l15/RMTzHwuf8ZW0T2LHpDP87XYgHxBXmxAzOSC5EcUDuhU5YybXtqwJqMCt+ekyFv1jSPQgnbj8C15c1yM2N6bC5JgXnrAbQLq12VVxW7XBFf8xoRMPzzPJ5RxOa0a1kDbGel1D5miHjzsCsZwEFNf63keGGDfzQV4MnQiqnEhI9p/Gs/qNuABW7YfdI7KnfBtBG7Pqeq7w0ATvjOqvC8kREtcudNSDx8E5LMyrsD07svgQKfJ3ZezpbCq3oqHLh+WvpxLpqp4Z1QVjOIwNU/BHFncgYbj2M+Wg3qlzXs09VbsxnSXU9OKd0ZhamzDA5NhUJ6j2OrEWrAFWXavTzDBNJ57LTxQqeMv7kBx47V1UUlD6bUk0KOvzsDof3sOxKcL0NUz9CnaqVOtdTCZUko0yeT5m6fwUPc6mDybZzB99t7EpoObn2AchUDTh/34eZ5LYwOhSSfm9aRsNUgGyx9HAeR5PoENTaveknxtWi2vm8fvOwVMKOloJW148BuX0pJS7cvaj3lbio44YjiO9ONnDI/oRk83gZF+R/CRDMgqHMC16HVQWDBpPNKHh2jjBwPKuIDPqWAUzULVDks1PA2ufv1akGtqtqB4i74+qVZWxlXtppwgS8v225LM/PN//CspvIOz0N4/6RsQClZoWlOYLNxPFbsxRfWnbGk6GUy24zst4iUJjzhiDI2+PonpvYY4lO/B9Vy+19Vpl+23ZZjw6DUpg4Bb8+Il4v1T0m6rr/82gIZ8Ao1ly/ebxTD9x69In0s7C9yeEwNv1XYdpKkTlMPD2OCVHkRhWzDmTtX9GTTEkV5Xy167Mad++rv/pgILtvweAgO4iZr/yRqcay9gu8gQRm5G2JjxvQWSbjNdsduSvB42gfRXMd+h6Ij2+vRrypn2mAVnQWAyz+TUK78uwcZSe6xWVsZhAk/h71NKqU9/9xUJ2csfxza7ajsM0GX74JFZsjKlzKsoGGOHNMFIJ6r7U7ZsWzgQyXspjqyLE5b4AfPHHRkCMcempA0NNsEkVdth5K/dCLra0mVJnJmXkJJN2iHBE8b5jPLcABWubgMaDCbElx7Ez1W9Ffka9NUVDmpE/PWk4FILRh2hIZqnc0IuWrIKFDalQHcqGIOfgs+ZyJ0p3MeTQMMXHUETVNSD9y6G+xsJwfTy/ZI0VtSDa4+5NGX70bTxvRBXTBJd1XY01EyjZ0PntWzxtDWuzggQhduW+nVZVb8W77/inVFlns5JrhRBF+YJ6zFP3LJGoIqrtuNstX+2AoS7ZkvIlaFpR234VrvccyS7JX+62kUWD+LZVLYP1014yJGBpf/WvOSAlbTpnCtNgis6gsaN1/yqbxyRgRgHLvkT2hPZh7OqaoclaPtg3PWbBhbwuUb68XmT1mVcTgs6vfgwzOnFh3W4pwMYTvVWPI8IbCnu0EqEbkee08tr54WOZZ7Ac4v+n+X1ILpF9y42IJ/na7EB+YK82IBMf3cFKCVZlwbjT6NQYA5H04f9QtxhgUXyR2hST9Ruz6nQK7OCiuSDPnB7Tu373j4pNqOdehqbhkSFBxkLLH8Gh5znRgKF4sWM0HsoHWJY4IG/2auMi2gGinp0UNIM/syCUcel4mjT8/K6efXwQQCY3zOYpjI0jybx8r0ouGq2uIbY0DQahJotOTHhc2Xc+MGAbC1IYfKnUKRs+nYbwsMcLYV6NquiXY6kmTMki9Si/HGXbOTLohCOduqEWEsXe2+NK38aaefm9aTKffYEkmXPZlXd+qwUWZQb5M3j56X0yTyDFTT5/aRpFXfYUhDywRLpwzQo2oUDOW8OsoHqbZZq/GAAnPVuTM5K2vCwoKE51gqTIJGcnqOWBElFu12jNgugSD++s8qdbhCfL+uGlYVHHJmo+TO2qrk7jGni6Zwa+/EGFXw5Ljk2xnlcE96bCzLBZgNb9vaYrN2ZOB/tdCSE0n9rXjChTctTqnIXCkmRV13MqIanM8hK0cF9wTi2EYEFWyawhQP49Uw4jr4+qZRSKv3ZKpU3b6u2T3argtdm1OqPukGz0de15zgKBaKRSw+6+NqSNnyuxYd1U6qLX25zjMsI3TTOZZV5BlKiQMJFSz5RMqU8R2FUrt6ak+DR8IiW52mgA7dW/pSWFWrDb3DGzeAoOoLGhxN/5v4YF0BN48bPc8xSv/v9lyXLgtPa4jcmJIxTENYn/9SEHmuFFINmXN4LFc34O6KdMNvzvjSvppRPN7m+DLZA5mkUHzVbcjDRn0fjV7chK41mRTPuXe8LCVz37w1BhjWrMbinctLUFA5qEg9zTGxkfDDxvn5dVgVfjsv14DmO99j0Yb9adq9PipqiI7gvgjMolGs252QbVtTjEtdocC7usCVXKNqFe00pJY0xMd80PgcSuO4KxnC/BZK4Dlbc64Xs6gQ2P+bJnCRvF/VgQk6QAzdglbvQyDesQWHc9GE/3oeWiwZnHMGaxlo1ArvDldhQxsvNeuVObKCN50BIotTGPAUQStV2SDenP12nyvfiWRT/ydMSKGueQnNOYhKN21XbUVQHZ9xw1eIOvaW9mlLVW3Xjo5vqug2QjhFdy/f78EFAVW/DM6G4A3K1qh1o5AvGsDXw60EdJbalB3G/RPqxVaUUzOtYQgVjqCThBmyKzFM5gV8Qv+7L2hK8Gv7aND7XqykZ5AXjbkhf8OW4bAhirWhIvDbk0by+mUfitXXTrAcw3FrylTfnuLkur09icHEaDRSbTK+FRoRDJ55DJe2aonYpLaRD780F5TmOc9x4Fpjz4IwjwYnmSdDmyvdgQ3n7V6VQXiRwL5QetOW+8xyzhK7IEMNInzsoYsPI5woHXV7HkvOq7r0h+fM4oCvfg/N16VIE0nqOWhIuG7g9p/wpvVnfvCjB+jxfiw3IF+TFBqRuKVbSBWOO6NNDU3q6ftwl4OTN28LiJ6vbPImJz//8Z58kEntthEtRLlP29pikzxaMukjKyl2Yvpftg8aecgDzDOQtROlxyrbmfhfW7K/MQtJ0ERMj40pK1b03pNo+2Y1puz7IGbpU0o7Ds2YzikivZcvUJW9OF6yX06I1ZwAZp2ZKKZl2c0rluZFQm77dJgd5w5qM2ve9fSgihxwhcETuTKmG9wflwc9ij9jSsrfHhK0fa7FFcxp6ZVaCmYxLacH1rr3fqcwzOQl4YwAbNcoFo1pX/3JcsI/549CABxZsYdWbZ7By99qWSA9YGDxRMvXY4c7/HenH/3/mmx0gPV1Kq+q7w6pgFEWQP4WHBTMiiASmVK3h/UGRQMVa8HcGbs9Jwm14CE1ORTO2T3xAFh+2JZU30qdTxoccSQX3HMO18Fst82ORI5Oskzkh4dRuRMNnXk2B1NTpiNyBsqL8cXxvFc14IJ74+VLxKHAjYZ6A3j52yBYdd0WzpXw3F9S//+Gr8t2EhzCVbfqwX/wNdetR5LPIqdwFXb3/RZc85Xk+Abni65OquMNWN39VJihMShsrd2Eyzaa8YAzNoj+NoieQtCU92jyJ75vbzLK3x1T92qwUUuYZoHtDk8hDMa/jIRxIojCLtaKoYOYMiT5MemaYH/X35kmNw2y1RcNunnCT5JmRQDmG5wbIZtHOP/WAhCa13Gw/rqFotyMEIUoxvQ4oZeapHKb8h3RquAWpXuGgi7EOTblYZ6Z9068jJCNNj6vdpJsr7UNgUbcqPIbG/PVJVb0V6OpIH0g8oUmdAp3GuVW5y1LL6+H/qNru5jw8fBBQ5klM+YMvx/FrdaBoUY8OdHwOcpvXfxMBoUyfQ1XbcT8vXZpUSmGrxiDD+rVZkS8SlW6cy6qyt8eQxL0V15B5NaWe+WYHJG7PY7pffBgDn8JB3A/cIPvTeAaUtNnS2DGxu2ZLTvxCRUccCdp8+CAAr9qkI+/Jl4MMjH6swALO4uLDuBeCs/h+cp89IRtU83ROFbw2o8r34u9kTo0va8s11PjBgFpxr1euibx5W6bW0W5Hto+U43iOodEsHMRZzfwizw1IEP1pfCck2zEvqKRdD4W6XCxvrMVtGrjNjXbhrGz5frPyWrgPV3/UDZmUHuSUvT0mgXs8Y/0ZWzw2VdshDzSvJVXZfpz/lTuxFS/uwMDOc1Qjgl+Zlf8fHnZEJVA4qDMyEm74aHGHLdj4SK/2Il1JPbZ9NM/khE7IJrP4jQllXMwo82pKrkNuNrgFLtunQ021EoJ5RWyc2ViHh90QVGLni3o0QVE33fzvSB/ety/r4pYDC/r5kYRHkd87fZwcKnodSzab9N+UHsBZRHQ/pbaFA45IvUoP2pI7ZZ7SHhkHP8NXj80tNiCf42uxAfmCvNiAGOenVM1myFUifShsWEAWjLpFaO6zJ2TCXNFsSaHNQqX0oK12fKdFhaZRCHltSz0Rm8ZUvh8PSJ82bnL1TblSMA69JVfQ1KCuuNerzNPAOHqOWu5EMO4aimmgjrWgQMmbx4FaegAP9NK3xmU9bjyLoqta+1hiLTjAjIsZFUjaaumypPDCm5an5LMqPYBihFMfTqKIKix4bQYF+DFLTMFsnCitCc5iIl+2D1NR6tepsaZEiSt5vzZeU7v/1m8K4Xs4geIjNIXJWGBBS0LeHsMq/s6UWnO/SxUOummynhsJhPDNaiPo16YFFUzjZrTTEZldcBYoZMpNqna4LHzvCwlsUZ4Fz7+kHQ8u4zKkUzQ+cmXuy+KzopGRBd3DBwGZ1PIa4RaFhYzXggQjkHDD0zxHLTX/kzUoErQe33McuR/m9aQKzroISurOzRNoavLH8e8odfPcQA6NecKShoWfyb7v7VP5E/jZjItolMNDjnxXlAxwk1a+B4ZV82pKsjDq1sO4ajwLNCuvJX63gQV3w0U89dr7ndh+7LbkO8qbRyFGiRgbh4angQOlh8KXRaPOhGm5Bh4xWAaS7tS+9AAe0pTX5M1DbkRZV9OH/Sr6+qS6/1sfJsq2JXp7ZgUQHDH/kzUSBpb+bJVa+fUe5LAM4e+nL6NpRQr466cwPTWezarCO1PKn8H998ev4AwKRspCWfx5nk9gg6ob5fK97kaVZ1dgAYVh7JAtoWdl+2z5mcv2a9lGhy05I8xTIZ6TAXXFb0xgmHES01sW8uFhLXvTAIXCQXiJSg9iak7Tt3EO90tFsyXbikifo1ZWzMrmwXMURt/CATSbJW+Oi4chfwJ/Tu2mnCRkB2c1XvZZ3MNVOyy16htHcH9eSakVVXHV8v1mNBI68ZyG7WgXijHKOIuOOALfMM5mVf26rFqyMgXt/CDSrv1pd1pf+e6I5G0E43qj0+PItcGpNWWyFc0onvMn3CFC/oSjzv+iXgVndEN2FUbqgtFHwuP24DzMm8Pgq3AA11PhnSkYi/fhfftuLqiW7zeraJcjjSM9QxICOuJIXgivVTYOkX6ck5E7U2p5HUJE6UsLJGzxYHh1ox7tdsRAT5BJ6QEUv/5b8+rA3+xVgdtzkGdmsbGt25BVT5RMCeTAa8EL5su4z1HzWhJDlctpkdzWrwPwpeKdUdXw/qCq2I3riLjoqh1o7sv22YKnNk8hnyM07cimuGK3hXyhSZw5hLDUbMk9NnBjCKV5Br/HOJuVIZ15GlK/wO05IJZfANCFmxj/i3PKp30u4RHcWwSlsJFl3kbdBpx7fF4/2kiUtNsCp6FUK9qN31e7UUNo1sM/U782K9t1elyinTif/Cl8Lvmvzsggs2yfLRvqZQ2QiEb68P99WVsaNn/KFniLecJS539RrwJDi0non+drsQH5grzYgEx85wkpQMNDmIwxsGrp0qQcWrUbc6LLr3hnFPQMyyVr1NwdVrEWne/wchyyqxmscLd9fAiF8DFNI9IPKfMEGhnPURyg5rUkNg064I8Hdelb40Le8hzVrPqzMD+ap3IiMaHRrqQNuv7SA5j2UAZE8o8va0vSO1NRY4dgnsvXgWEkpyillHlSH+aT2nj7yiwaBq139TqYqJkndEjigpvQzBVvSTs2SE0f9kuBWXoADQ058oEFW7wwfPjQIBp8OS6pww8fBFRFsyUNVt48fj9JU+EhNEB17w1J+FvBGB7g1DtX7bBECuV1sKWghpgJzwWjWuu/Dw/W2k2YMIcmHTFkNzyF6SIlHyQ/le1Hc9fxyS78s2kkI/M6oxSiuAO64JJ2W8yElTst0dkvr1+QgqlgDEUJNcyhKUekbZ5jOi+iGw9lr20JXMG8llSNHwxI+jsfhJQWFYzpTJBDtsguajbnVOiVWWHqFw5oidN1SJz8t+bRGGvzuPeFhKremhMSlXExI39OeNgReRHzBOhHkWCufZhE581BjsNchIcPAio8hAIwbx6/hoFlxgWkdlOuVbbPfV9r73dKYcIEac9x7YW5llTGhYxqXJ0BCz/umveXNSxI5kndhqxsEUiACk06rp8i7m4kK3dpeIONX0MqFUET9PIwYDQ07RZuXsuWcLM/fkmo5zrkyxgXM2plZRySkll3KxFrRTO/5n6XZAWxqfIcx6YvNOWIsTg8hHOlaQVoWgRI8N5veCojQYGU+hTemZL8gk9/9xVVvQ3bHco3Gp9Mw3wfh9+jbkMWm4QBfF+1m3KSKv3h3wdVpBf3QbRbh41qnxWhAyQNFQ7i+yhps9W+7+1TZftsyY1RSilfDvdM/qsYhJAMRxmNeQJ6f3qh6M1qXJ2BcVdvamKHbNlGUgZZszkH6tZTCG7Nm9d+GZ2qHjtky8S4bD/O1WWNIIKV7ddbgbfGVflehOqxIGSidu0mbMtY6DFl3muhgavempNtni+L5wuDYvPHHTHnR/odteXjVnkelbSj0axbj626UkqgFFXbLcle2fJxK2RyN+Ar5N/H50kg4eZ/+HK2ZPWw8fccs6RA5WY3b07T0+Zt1fHJLuXL2GJ43/O9/QjGTeE+9OXQHJjXk5K5UjDmyuiYAs/AUpreKdP1Z9xgYM9R3BPmtaTy3EiouvVZ1fL9ZpG10qtUs1mHC27OSdYGryWlFM7IF+eUL4tzL++luDJP5sQbE+10fY1V2zEcKBjD5/nwATJyGp9Mq2X3+mTLIBuKDh0aqn17jaszIv8NTTuyjeLfEx7Bew1NOfJcjHZiiLhkVRqUTr35DE3pjJUel3BWtg/NhHkCGww+y4p6MDzyZ2wJc/RnbGmKKEMPTWpxhou8AAAgAElEQVRvk5YCF+9e9IB8nq/FBuQL8mID8tfZeVl5Fh/G9qB8jy0r3Lw5FDN5cyhWazbDXFh0BEY583oSq189rV/WsKDyXoqrLR+3Ks9Rjd49k5Pthcg+dMFH/TcPeyIBzdM50eHWr0OgX3jYncz6UzrhXPsBAkkcZtFOHBZixv3aNFbDNxewrn8yLammlbs0uvL2nDLOZpXvJoxmfOjzxTT2wgEcvDu+06L8KTx4jbPQVq/KH1U1m3MydaUxnBPYWCse8nlz+LMEm3l7TpnXQPoo7gDlhgFJ9BbEWmwx1dVuwoPAPAkDonExo7p/uF0+u09/9xVVudOSiT29I5wMVzRbMHlrvwYfYsQ81m5C4GPsELYpqz/qFpRtaBpNkgSU7beFxFMw5k6MaEI3LqWFQsWpp3EuC4mVJvtQ+03pQPXWnFqyMiX6+8YPBlT5XoS+NTwFWhinhH/7u68+RtAp32sLQSX/1RmV/+oMmoRjluAnSw/i2uL3GUhic1G1w1LbPj6ktn18SHktPKSJ8Vz9UTdSg9ttaQIfJUyVHkCxxGlopBdSJobwUcevlJKwRa+NIq5uQ1bek9dyjZSRfgwD/GlbTLX+F+ckAXrXdw9g0nkCplsSZgIL2iA/gg0iJR6RXvw+NsilB/DrAgu2NOX0ZS1dis830qeTy+cc8RKVtGFLQmO0cTGDxuxqyvUBnM2qpUuTKnJnShWMYpsmXqPDuG+YjF44iF8fmnbEJ/Poy39rXiRF5Xvx9y2vmxfUMylAkV78fu/NBZX/6oyquTuMqW8zimZSxShh8qcwdIl24bskjY3SFPNUTt5vaBLN14qaOdWwJiNbXnoXjCugPZmncoIK96ddCeTyegAKKt4ZVYEECtHqu8MonPRGJTyEZp+maeNsVv33f/orMRHTe2OehN/L6wDTq5TCealpQ6UHUFAWHcFZTMIQC7JIL6450gSZkG1eTamC12Ygm7N1kbcN5xXvz8qdlgp/bRo//zZLhiJeB6h2mpG5aaCXpHIX/n35XlvoW3yOVO3Qk/I3JgTtHpp2G7Oau8Oy7S09qMNyLyBYlYMs40pK3gcbhvAQ/g6vg+eHUkqAKKFpRzZieXO4/mIttlp7vxNm5mk3CZxFcOVObHDpm/EcRxMT6XdkMs8QQfN6UqS1l39Zraq35uRzJdWvohnPOW6CCH+o3maJlNQ4n5FrtGk5vE1l+3G9V+6y5HMmCbBqhyX+y8idKdAlNcAhPIJNR1GPI6h5bpnz5uFN4YveLc/z2AjFWnXYY9aWrZxxOa0CC/qe1BvcRwMZeRaQskXpXsGYO2jb8K121bQiJbREki/pb6OCoPiNCXj6HKgJAkn484zn0hiW6IFS3ktx4PB18CODkQvGdOCt9kd6LXh1yt4eQ/Dg7TmVN2+LL8k8lZMmn8/ixiexAfJeHl9sQD7H12ID8gV5sQH56sm4Knt7THwEzCgg45/5A+TLs1j5wT/8NRB/15Mq2gnplj+Dg6V8DzS0+a/OqIp3RmGS1n6PSD+K0JJ2W6gty+vm5bAJTbpoyEASB/TDBwGZiuePY9JT3GELpzx/HEnEvgy0xOFhR/jq0S6NTdUZJUxBJz6ycpel3vpNIRCYPXi/nErxVb3NEq39z//xr0DFWtAP4Vk8BGIt+lDWFBQWqsWHbTFIPnwQUAWvYTJpnMMUqGwfJqgrv94jjYXn+QQOWu09CA9rQ+0FELgo7aBsKHB7ThnPZt103U4UZkyeJb8/kHQZ8yM/2ghpiqUJKfoh7MugSPEcs2Tqlj/uqJWlM5BTnQR/fUVVXNKilVLiBSgcwOfeuBpGZRJsqLtnU5I/ga2B14KW3TibFbJYRbMlk9mGpzOqdhMKcF9GmzD73eKgcBAT1rJ9wERTihTpc0TyZZ7OqcbVyFgwLqXVwwcBSPrOoTkwns0KSSXa5QgdjFpzJjJzopc3b0sxRyld3fosJIAvIT/EcyOhfFlsCKNdjkxhmcBcvhfvjejHyJ0pwTTzs2p4KiPoYhrbw8NaCqebdOM8yDP1a7FpYAJ06QGd9XIlhc2UTiInOMGftmUqaJ6ER2rP9/ZDLjjjiJ+K2u28eVuIOcQSE89N9HDeS3FlnIWczn9rXhUfxvXly2n5xWHdHGrUaWABBWXtJvw91dv+FMNLLXreHL6DwkHXA8Hzwzifkc1PtBvfe8cnu9AIZGzxQ5hXU6qiGZuyWCu+2/I9uL9iLXoyr3MoGp4GApYbJ+MSjPPGhQxgCRqPuuxen0zweS1was1rOZDAWbFkZUoSnEOT2IoRz9u0PCXUnfAIiqBAUnsLXo6rindGcQ9kXbqTeQ2SNWrxK3a7Rur8V2dkkFS/Nit4U06hgzOObO84BKjchaKUE+eiHsjJ6jZgOFHy5rgKvTIrfw7PBjb0kX5H6GfV21Coh6bx55JaGIzjWg/GHWn2CDFgFk542PVG+G4uQDKns0c4qCocwHXUtCIlsl6ikSmHoqQzb17ngGg6lHk1JVQpz3FLNqw1m/E5Rvr1+ZeyhS7IbZ1xLquq7w5LgjxR0p5j8IxRWkQ0fHjIRWlTihc7ZKtl9/ogrdSepfAwvj9un2s35aQIr92Uky1HeASfQ8U7o7LNenQwEh6BPJHvq3KnJUABgj+aPuwXFHPREUew3nwxJ6jhKdDQlqxMwVh+MQOZb7/OLtFZHPnjjjyrgzP4vkPTuG8DSdxj9euyItnj8ymwgPuyepslDQrfT6zVFn8evUHFhzHYIkmOcuzSgzjfinrwZ3BzHVhAzVJ82H4sFqB8L67/xtVA5ldtt6Q5pO+N0mNuUDhw8U0sbkA+z9diA/IFeUkDcnYGB4cmReTNowAKvhzHg19PJ0LT7gTBOJ/BAZbAARaa1EXb2azctH/7u68KgrB+LaRTNXeHQWUZxZo+0u/SXIxzWaGCGFdSynMjAY9Hq5a/nHNRpfVrwdCPteLfl7Tbgjk0T2hpk84PCc46yv7ZCpEoRXrxEPLpjQgD8/LHMXWJdmkt6ah7IPMB2Lhaa+5P5gTlyok/SUS+HMgzgSQeLtEulyvuy9hiOA+9MisSrT3f2w+j3B49ldWFJCej1dswQQzO6Obp2azIJQoHHZEFlb41rqq34WcVjK02nvOQjnZqo/s0Jkd1G7KSG0CaiOcoyFGcOvtTkD74spgyeY65Gyvqq7nGpm7en7YlCJJBl5ScPHwQEBlRcQceXBXNmLh5LVfOULEbmyxSy/jrijsw9Vtzv0sFX47Lwyg87EiODbdP0dcngTLWk8a8OUetud+F8Mg5bfa9mJFMCBq3Q5P43Lnde+abHQAnXEqLRt24gCbLvA4KU/26rPK+kJB/H+l3Q9OMi5CqFR1Bfs7DBwEVHgFuNX9Cc/E1x7+k3RZ2PwsHInT9KbeoLT2gm/BRbOZC0454bBjwR7KO10KRy4Y90u8It988kxPIRMP7gyiAdahXRTMm7WX7bfF9lO3HdUPZ1aOFYazFFoKTP4MmyJdBozH24w0iWandlBMPV/U2Pe089acULH6GdRuwoQyPoID1OpZM0DlRb1ydkUA0+gOKjmj/yawrrZQgQH0fFfU4QvEJDzlSxNdsxvexrCkh8AjKYyJ92E5u+bgVQI5TOQlcI5CA9xXv3+jrk2j2L6AZjnY66sE//ZWYtQvvTInGPX/CkXDE/Amcl4QUEE1O2YxxAffW2vudmKQf1eS1Lkf8Q8FZR0zoDD6t25BVy+vmBQpSfNiWwp3+NEIWCJUgccl4Li1F+dlfNEruSjAOqaLnmDsk8trat/ZIKGHZfp0zpfHQvowtG4FoN3T9RJz7M7ZkgBiX0pjkH4HUqG4DJKc1WxBGybyJms05GdZU7sTnRIlXzeacgFXq12XVju+0gIqlfWakMzHjgmCH6OuTuFZ04V63ISvvJ5Bw84hY8BYfxlCEn6/nGGiI0U5s5iO9eJZyO8nvjmG75vWkZPVQVlb33hB8WpoqWXhnCij7c0BQm2dyQseK9DpCuGTuR6zFlhwRbsC9NjwlfBHc4U/b0twSvx7+2rQq34ProuztMUAitM+r6IgjjRmzvTjAKbwzBdjNazMq/dkqIeDRO0LfnnEBWHjjclqCe0nWirXi+vz2b73w3r0yq8xrwOpW7kLztqwpof77P/2VKu7Q4b/TmojZ4tIu/WnkfhBQU73NEtImEb2Phn/ymvA6lipsW/SAfJ6vxQbkC/JiAxLdk3CpUo4lBs2lS5M4UK9Bm0rDXqTfkSyA4Cx0t+FhRw3+aDPSpC+lVd17Q+rSL2sRSHQMPoXCAUekELzBK3aDQLG8fkHt+u4BFL5XUsp/a/4xnbnnGKbVZftdUzKNjp7jlur8wQ4xL3OVG0jqQ0xryM3rSdFy8/f7U2i2KndZYppjyi3N1UopOVD583CaG+l1A6hEx7wP0qXCATRlBaMoKCp3WtLM+XJa8jTsiHEy2qlN/TpsrGq7pfwvzgGPeiGj6tdm1Yp7vWr+J2tAAtHs99pNOQkAo7TGOJeVVTJRrZTTPGpOprm3bD9IZMFZNISV746I0T92CA9hJtlXNFuCyTTOAdGrFKaLDNkieSfaieto7f1OTOO1B6fuvSHlT2Hrw8kVG5aCMUdMgPT0mCcsyXgwr+GhHFhAY+N5HsFzJW220J7W3O8SqpRxJSXUJSJPKQNjgeh13AC3kjZbwhgbV0PyQhla2dtjwu/Pn3DEW9G4OiONtde2QGTTjUjtJkw9H53CPvpQowTIl7WlQS0+DFlA+R40BTSOG5fgQdn07TZsia4nlf9F0LjyxyE3qNqBYiJ/Ag0tC2ZmrxQOOtIgb/p2m6SEE96w4VvtMp2u3ppTS5cmEdKlEcSUj9StR+Ma7XJk2soNXPleNB6UcrA4XdaYkIwS5s6UtONMMK8n/2+T0Ak/4BCCU9aqHZbIuIKzjjSrxjnkB+W9FFeRfrwP4j1bvt/sBp9pD1loCtdY+V5bAAUNT2fEyF6/FinvDH0r34v7keZ+Bsp5X0go/4tzSF/PuEn39KfwHKCfaFkjtpzVd4fV4I82q7d+U4gG4e6woEY9x/AeSVcqPWiLPKtgDP9MKXgbmG7OhpHDGwZG1m7KSZFnXksq/615VbnTUpd+WauMixnZfDBjyXMc52L5Hkj/CgfxWYUmNZjhLGRc/X+7Ra3+qFuFvzaNBv0szimGutZuygnemajr4sP4uZiVU7MlJ4WqeTKnlt3rE9lh2T4UwaEpF41MCWdRD7ZiwTikuZ0/2CHNJLNzig+7tLDwCArcFTUwSpe0IeuFSNvyPTh3ljUllHkyJ7Ku4g73szTPIMfJ+0JCvfbrqHhW8jXKlvk8DU9llHk6Jw2IcRbvv2I3BlheC+dXwWszkBm+jNBSNmORXi0/m3Skwc6bx++pWw/su3EBIZgkEpYesMVDaZwFLYsAEa+Dxt84l1UV74zKBjA4C3nRowO30gNudo15CtK6wAKGZl4HTWFwxnHvXS2xDiSwQQhNuZ6y1R91o7Af1FvPhC1yz8IBR7J8GF5JSEesFQ3pklXwVdHnQ3JhcYemu2lPR/Fhd4jGjC0OyvLH9dAxh58v2oX72nMD282azTmR7zU+ica69IDtBowedMNtPfOLG5DP87XYgPxvvkzTVF/60pf+5D+HDx9WSim1d+/eP/l3VVVVj/0Z//Ef/6G6urrUX/7lX6q/+Iu/UGvXrlW///3v/z/9HBJEmFgQs2rtJqxHC0YdMWVxChCc1Qfsgi0HSsFrM1h974XZzrwGfGfusycEfZs3b8tBWtSjaSencqLrrtuAcKVAUhvOD7or3Q3fageKUvs5gjOQX1RvzQGDqQtLNh7Bl+MqcBuFZ/T1SejEhzF9Z9o1mfT54zjMyvfiYUEtMlOPH21AStps9fpvIpgqspg9bqlljQlMtp5PqI5PdmGCb1tIHx6BPMC4gAAtr42pvv/FOTFZGhfx9zIwacO32sXoSjRh4QAeMNyGNK7G7zHPoLAKvTKLIrtLYwnvDqv6dVnJECF+lYndxYfRKHmOotBt+rBf9M2Uo3Di5LV0o9hsCZml9K1xZVxKwz+TtNWyBiTGB5J4jyvu9SK1elNOJBD+tPZ7aE9G2T6ddvzqjExRI/2OoFPL3h6D/nuLZv3rB1V4WCNwtRzQuJhRK+71Sp6LcTGjjPMZdexnyx8j+JTvRYFoPJuVcMxIryMm8NKDtgRueW8uCLkoNOkapWOH0CAxAI6G7Eivo5bd68OGLWOLQZ+se3oyWFzHDkEWwcaKhVjVdnwHxYdxjQQWQHUreXNckuDNMzlpxElM8+VQ1BnnMe312jAjsxHgxNOXgzbda6MortuQxbauE+810ufIdLjm7rAq6sGDPNKLs4Dv1/8iQkk9xy1BZJKa53k+IfJByWrQk/qaLdhgURJWMOZIWGbyp6ulwfrj1+u/iUjuDxsZ4zw8ACymGp7CJqpityW5D5U7UQzTGM4sHJ5v3MLw+gkPofEQOt7WnBB8qGmPHbJlWxvpc0TW2bAmg+FC1pV2lu3DdPXmr8ow5NiJJo0J0cwlyJvT2G69oaveZonPoX5dVorRwkG93ctA7kdyklJKrQpDQlu9zVL/9PsvQ0ISd7Mw8uZtGSLVbsR96U9hm8mMB5qwSQKq3mZJ8BwzWCJ9LnWOxWCk35FCuOHpjEhmaaIPTeK5Mfijzcpr62yFU5heszEr36NDNeOOyOZK2tEMeC38d+VOfLfGxYxa1pRQtRthjg9NuX8/N7ZEezMzp2w/PidueL0W/q4N32qH5FZvAZbXY8NWucsSD0nhoCP+wUACE/bSg7ZgaAmpoDyI26aCUeexzbL3hYT8mmi3I4M4z/MJaWCCcdyna+53qfq12K6bV1Mq+vqkyAu5ted/uCU1r6YEixycccTfxs/QuJx+DCVdtQPfRXAWz/HgjNuABGcdCVFkojhDYL22JWew55glUlKfllQWDjqPBf350xjo1K3PSrCjgAd0FtblX1ZLEHLsEJQDq0Ijype1xWTO91m+B591/qszyjiLDZ4/7VIcmV9G9HzskC2DU2YI8Zql/1I2lVtzUqdU7kLzwjM8POSoy7+sVsH+xQ3I5/labED+N1//8i//oh48eCD/ef/999WXvvQl9fWvf10phQbkySeffOzX/Ou//utjf0Z7e7v6yle+ot5//331wx/+UC1dulQVFxer//zP//xf/jnYgFSsn5dwq/I9Oln0UlrMV/6MOyH2WvomnXIRlsG4I5sF4xwmYwzm4uS9bn0WKdsHMWUNzjrq+b+rUL6cpo1M4M9Z1oQikbKDpUuTqnKnJQhcrvSNs1lQuGyw7/1pWxok82pKhYf0/z4DfXnj6oz4QihzogY92uWSeTxHLVX33pAELPJV+ta4TFTDwzAEMteAuMmSNlt02MUdKAxrtuQkFMlrWyKDoESmfh1M/ZSElO+1BRFIY2NoGv+78t0RPMQ68B2svd+pjHOQDTS8PyiZISVtQIaWvT0GzfqVlDwUuKkhDIDr6bx5F4samtJNiw6by5/QGyudDcDvig8HX0ZjeHVxXzjoBkEGkrZaXjsvmMPCAUcC7syrKUgfzkOqY1xKK/NM7rHJ9sqv9yjj2ay6/1sf0q31Gr5gDA1OaBr/nT/uiCwg1mLLd1uzBVO1yl1g0zPtnCjXhqczok8P3J7DdWZjYj//kzWqcqclib5MN470oQhnkBuNzQzZ42aqchcezoV3ppQvBymiUkq2O4EFDSWYt6V4evggoPJfnZFU4/wJNNKFAyj6op2uaZYeg5otuMb5mXltbDGJLi7f6waDUqsea7VFMkIfBcEQ5lVAKAoHHDebRIdkei1s5/LmbZEtbvv4EK6dJH5+41JaqFiRPlwHBa/NyN9N3LTn+YSk2pfvRUP5KAqULxaITGnPH4fBv3AQDUt4CJ91w9MoQiN3ptTSpUk5Qyp3IXsj0q+byil8fgy0q96GYpPkKRpOAwv4O4Mvx2UizILcn8bnQCAAz8SKd0aB4daFZMOajJxDYnzWkhXzTE4mu5R90tTveT6hGp7KYJOncyrMU5AiVW/Ngfak7wGllNzb5XvczVNwBsU8myeRt+qQy5J2LU9sBz492q3pVbvRLBqX0uIdWl6/oMLDOMdZEIaHcE/4U5gah4dcDGrj6oyABbidaHh/UFVvBbGQkAXjfEYVjOnGRVP0Yq0owKPduN6iXY4MGCi3oX+gepsl8rqCUUeIhPwevTbuz0i/xhXrzW3TihS20BcyMoQIjzjiuWNeBAduhYPABZfvASmRchzJWbmIn796G641/4tzKP7jOLfzx/GZ+DMae3wjIV7Loh5s8379j18W7xv9ab4shhSTnz4jGx+ibSkZJtKdTXr+qzOS/8HvhN8b/QzBWQw8KpoxdKu+O6zCI+7zLjyE84akQeO5tEgVmSPiOY4tUMGYC7CpaIafgpADNgvcdjKQlz46Dgrq12JbU7vJvSc8x3A21q3PquI3JjBkvLmAe143wxwwMBIgNI3P4OwvGnF26qFcaFJnmmXcQFchfw47kp9DVH2025EBn3Eui0HPzQU19uMNqnTbYhDh5/labED+f3719PQov9+v/uu//ksphQbkmWee+X/89f/2b/+m/vzP/1zdunVL/tkf/vAH9Wd/9mfq3Xff/V/+e9mA/B9/55OH4hOxadWwJiM68dgh3UT0YlLpT+Oh7k+78hniAiO9LmWFpJCiIzho8l6Ky6FTvzYLrO1uSxK5Y622kCeYKms8h4K0YU3GRZleS6qOT3ZB3qBlRzRRUgub/mwVppc6MIpG4WgXHhCBBRCxaEYn+pWmRxrrinrcA7n4MKY8TR/2K6+FqX/de0NSDJPu4rmRkEwCov6qdoDCwlV+4QAeqCzAjLNZTGZsS5qjoh48yEva8XCrX4tfU7c+i1CuPbphOoZk4tIDkDt4jlliHuWE3OtY8pl6bUvSm5lPEenDQ3LXdw/ABKoLXP+teWVczAi5hEndxYe1+fJqSlXstiQ8jihcrsDr1kO6UnpAJ2yfQ9NYtg8/Ew3jNA9zMsUJNQv86m2YFEf68H7Tn62C/KVbS6rirjyHsotInyNyuKblaEjDw0DZLlmFa45I29KDOnU453o1yNLPn0Cxy+vT/yLY99wieS1bjLNELfsyLo8/kMS1b55yOfvckhGZWXzYFgM6TcihaWBs/Wlbml4iqyVLog8FqEzOtwIJWrUdxSW9Vyz2Kt4ZVYUMWNTNC/G+lCmU7UPDGB7BNU20Ja9lZlHQs7Dl/2LvzWPjOu9z/6BFWty/CrQI4P4SnFk5MxwOhxzuuyRKsixrsbXvCyWKFEWRFPd95+znHO0Lte+yFVuSbXmRY8uOndjNUje12yzO4iZuLRQoCrQF2vQWwnv/eN7neyTn13uBIoABQwcwEssSRc6cec93eZ7P814TJuZZndY+Y0nxteq7zYLNJfqX8re8Hu1PSVqSuxMcdSRFD16//cyj8rptmTqzCQkN2SLn8sctISPxfqXxl0jV2ifTqvbJtJqzMOkEg55Fw86C3HVEY3K3WuK5Ktnm4JoXBfuxpd2BkDkm0leszaq5C5JC56FvKtoKs3hoCFN0vlaceFeuwSa3egWGLpV3+sTz5kvjexCy0mFHvlWyzRJ5nVJKTLrc3ka6MAiJdOE9m7MwqYzjGWk287ptCdrzJfG+1c9FGCSDFUnlexBbXtgM0iDD3X796WPKOKu3onorVP10RsLciC9l8+fNWvK5LXp5CHKpOAYGC4vGRZ/PrUPFOjSy8+YlRIYY7tcwgm7cC/SzUIoTGrIln2JefULlab+QUkqVbLXEK0b0c6wRW2DjhD6DGVi305HY8mdiDtayd1ohQWrGQG1BpSODrFqVFZIiPyeuwxgQxJr0Zm4WuRXu/aYQxYzzSSC5H5Cj0iNXtENvuk+h0S/YYzkejzFs2usWQ/LFPJainVAX3L/nF+mlcSqtyteb6vVfBVVxA15P0rb8Mw9j511HMAwq3I172n3QlEwT4zQ8TJF92mS+DQQxz9W4Ct8aA5iiD2eqf0bj249kBX2fO4D3K9ZoSTYMJVnGqTQacU3N5M/ObKLgqC01Q84U/J357bhfapZn5D3yJ6yHtjzEIxvHMxJkWLkmq+ZXT+NsG9KZWfvxM8caLfWEu1MVb7cEqxzut5Vv4NEG5Iu8HjUgv8frP//zP9Wf/dmfqXg8Lr+2bds29Sd/8ifqa1/7msrJyVGNjY3qH//xH+W/v/nmm+orX/mK+ud//ueHvlY0GlVjY2P/7d/129/+Vv3Lv/yL/PPpp5+qr3zlK8o3kJApeOlmTI8W3N0nTUl+hy7KXxpWvmemxaBMMkS0DRIEb9ZZf7sOmWKMrFiHwppG1fx2HOQjHz4FqpFOLmfYoDfj0K+YSOw+iKkVsbqBCTyEw/04oJp/uFl5M5Y0T65LTu4DpVbza2ZkkkhJBk21viTyJta816Sie3HoB5+fkNeO8oTSLaZMXcN9mlne7YRquY5mlXE2JcZfygoCk9Ccui4l5L8b54EtjbZpI/kRFBiuiwnxclBuUvDSMBqnq3GQhk5C6hDZhwcoNz48pIu3Y/JetBPF1diHyzFhWonVNyUL1Mb6kmhWfGk0BK6jKKp9aSfX5drPi5UvjWkpk+aferdFeTN6A6KJUoW3h6RALNuki2w9sZv7ZhdSu/VDghIW4zSKrMAEpnH5HbakJQdHMCGdNy+BjJLbQyr35rgEWJLgU/10RooZ7zUkIHvTKC7mvtklTdc//v2fK4+JJmh+1bQKDeO1K2x2TIuuw1mRK3DaHu538lcY1MXNRdlr/WJAZgpvfS2mxtG9KLYZbOnej60REcQFe/T7pxth1yHN8j8Gsz71yWxMKNWiMXj6oyUSiOjNomidszCJKeE+5zUiVIABb+FbY8p1FJ4Z4ywSmlt+uEn50k5QmHEuhSmlhgnkd2ALRq+ScRrBmJEubCOKG9Sh/xwAACAASURBVCyRXTEZm+F+RTssCewj3ptBpBXrTJGMfP7ihovEH1/SEllX+QZTzPHcvHHAEZgEwrlwNwpKvs7c8tLPUPTyEIL0dqHQKNlqSeJ1cBSva143XiNmVzB80HUJ8o2SbQ9r0rnB9KVhtI504v2dXzMj1Lu8brwPed2apHQN+SvGSbymxmxGNi7EUYc0ZjmyD+8Dc1Ncl3Rek57yMlyuvg7J3q6jaHQEm3rcyaEgmTA0rIvuTrxW7oOmSvzNYsmm4OfEH8fP5M3g7ynZijOhdmla/FQ04VP6w4HCg+RDEpDy2/G5zO/Q2Ttj8HA1/3Cz8l+fEggFh0ferCUmclK4mGMR6USRH+7Dnylfj81Y7RIAIOgHIsK4sNnZmlauBnWs+JVBydvgZqpiLc6puje6AUM5jC2F63BWPfVui6pYh5wsf0Ij1xvxvR39yRw0GgfhsSzc7VAbudVk6n3xK4PYruptPnOaYrtwL775q4AqfXVAGSfTMmDyZvFMIAgl2oYz12NhAMj0c9eFpEBHXBeSqmCPJaCNcL/G289m5DNH9LZxCvdi9QodhKi30IQFFG/HILJmWUaehfy8+pJOuj3DcENDeM6VbLPk95duMZX7MoaJlOJSfsyw0HC//dDWNroXX5/PmblvdqmKdThXqaCovNOnlryzVzx7uQNaZbAVX891MSEBrvRHBSZtodmFhp0MrNwBNPHRNlt5Rx95QL7I61ED8nu8nn32WfWHf/iH6h/+4R/k15555hl1+/Zt9dFHH6kXX3xRFRQUqLy8PPXb3/5WKaXUlStX1B/90R/9ztdauHChampq+m//rvHx8f9f78k3jk2Itts4i4yMyD48DCgjKXp5CAXJ6bTyPTONdGY9OcnrwVSkvg7yoIsfl6vXfxWEAVNz8DmNyR2EpITmt7LX+qX49c/gcFz4VgcOZ60vpfY2MG5LHkFkny5c1mbV/KppQZ1SA+wxITWgebSwWYcKjekm4VRaGbMZ0ekzTZYSgNgu66FgJj5UAuPQDRft0GjdG+NC7XIdAt62ahU0vp6r0MLn9Wik6SU87ClnYYEb3YtppffaDKakJ0EBie3CAe6xsLamxOdBPKTHRkMU3YsD0zgFBHJBC35ftNUWSYbrMKgqviQeaLFdKERcR1HgEipQsAeYVuaKMFwr1mip4z+tU0UvD6n6u50q2oqigjkgrgvguQdHcS/5ngUamGnioWEUc/Q+MC+Aqb2RLph0r/28GEZMBjnqzVWs0RK5FjXz5RuQcF67JC1hfjTGE2VqnE9iImpC8kA9/IPSKCbPi9fiYkKCLLkN8dhImSbwoGwjZF1z5yclNLFibfah14vGR2qflVIyGWZYoOtYVjZxlN15bFOQnOFeW7YV7v06h+B8EobpNjTzNJuStOa/PiVhjZ5rM6L5ZtZLYAJeDAk406nSHhPDh8Bzkyp3QGemHDKBfD2kKT66uSCFK3cQkiUa2H1peDpcR+HR4HlStMMSvn9oCEURiyDP1biqewJ+iM9fJAzld+DeXHB3n/I9M63yutGYckoa6XSCzmqfTEtQI+U67v2mkKUob/FYpvirVnxnt0yp+f4FRyGTjLbZan7VtPw9/gTOO28WjSWN6MTY3r/nVwsqpwSawHTv2C4UUe4rcUn35naMvoVoqy2Bgd40BhmLgv1i7GcqOnMXlMJknxjtSKdzXhIXzm2b+0ocMp5bY3K+ui5iAGUcBxQj1mSp539RKKStuQuSqvpp0IFYhBJjTL+Dx8Z9Se08PRz0lXEizs98pEt79iYdQ3rRDnz+KtcgH8qbxufdOIVwyLwXRqUwZPBjZJ/29uzFc+X+Pb94tqKtaHLu3/PLfZU7qIl3+x1zcrTNlm1PuM95VtBHGGvCucEJemwXilvSHukdch3LymaS5D/XUTQq0VZb4COUK0fb8B66r8TFq8csGIbmejOWNAv+61NCDsyZ1gMu/X4v/nYbUNdJSxDK3CTMWQS1ACVjVDYw56igxRKiIq/oXjQkuYO2JIPz3om2opEpenlI5Uxp31UC/rIH5aeBCfshrDVN3u7LcUF7EySSO2hLwx9tsyWzic/oSBfen8o7ffCsHTIFzlKwx8kn4rlKZLE3g/OCksW8bjxL2DhH25yA0DXvNYnk0D9jiTeEUQTMvCrc+KgB+SKvRw3I7/F6/PHH1dKlS/+vv+ezzz5TX/3qV9Xzzz+vlPrvG5AFCxao5ubm//br/HcbkKK10MZTHkGqTF4PioSaZRnBTHKyRHSuN+0kb3O6wYMnOOZsEnIHbUkF9icswRcSFckpAwvH0s3QhVasRQHJSXG0DV+TRs1YkyV5C4FxPFyM2Yyqe6NbtLqcJBLb+WDBXdhsySSeqa7k/5dtchoQpjb7Ezh4i3bgQOak1GObUvy6D2JCWrxdG/Z1SBvXuqWbQRHJHcDf6z6AgqVqJYyZXAU/yDoP9zoeEuN8UrV9sF6C90JDtlpYMq6Mcym19XsN0vC5DjnrfSa5U+aWe3NcJoD0wNQsy8hUnojhoh2WpKETg5v3wihkU22Yvs+vnlZKge5U90a3FL6cXEU6nalXuA8Pr8o7fZjga1JYfoetfvGbx4AIZWptFgV90Q4UBH/1629gUqWLOMHS6kLGOA6DoTELc7XHwkQsZwqFOxuu4Iiefl1KwOt0JiVNGk3cpZvBsQ9M4J6KdOKBZZxOq4q1mPDnd2ivy81xIacxgIzZHvfv+ZEvksU9rxR06IW3MXV3XUhi+q0bjHC/3pYtx0Sx8k4f5Gk2NNQs+P0JbHn4GfOlnGBNmu4FjX0KQwPPtRmBS5SvhxTPcxVysMmPlsKTshHhmPkd0Fv70pbIaXhv0iPkS+L9DA3jXl1YOiG6d2rpQ8O2pMATUEGDui/peDQ4AX8Q/MArvwP3kC9pSYNQ2GyJhCXWiPuh9NUBvF+nILOiB4XZRdFWTTU7BolMuN9BH5duNsU/VtACuSWpevS/PWiMZqhb5Z0++b2cypP8V77BlHyV2qXAA/O9mDcvAY/PkFPY0AhbuTor0i7jLMLP2DwyOI7BdJzsUzpGilvN8gw+7xoJy3ySoz+ZA5lPu0Mii744IhuZghZLitz8dtwn0VbHS5EzrQviaUg+Y42AXhizCNOsuNMnyHHKYjnNb/tgvRio+TpWrcpK7gK3ubFdCIkj6YhBd9z4klxWuNtJ9M6ZtuQ8rFzjBIgaZ+DlMU7idfLHcc5FOp1iP3fQFgBFcMyWvKni7boBOp6RZG1m8OS32/JZocS2amVWELgeG/e06wKkS/RMhnttaa4o0TNOQEZ25mdVynU0q9a9t0s2rsZpNF/uK3EVfH4CG/+deIYYJ9Nq8bfbpLFd816T8qUsGXLxrMgdQNNI/yHvuaqV2veiQ/jCvU4DQk8R7wdv2jGXG2dTKvfmOLxrWmLtj1tCHyzaqXN3BjW98jSGAJVrsJld9k4r7pW1WRlQ+lK4pxN/s1hynjiQye/Aa+RP4LxnXo5xApLb/A6n6fDPYPDG54D7oCm1TfkGUyA09CN6TJxhFetMyQgL99kir4vtwvOPQBfPtRkV7Hgkwfoir0cNyO/p+ru/+zv1B3/wB+rWrVv/z9/r9/tVKgVCzP9UgvX5ix4Q30BCshG4iqZZlNhcYh19KRS0nLaEe201+NcrVKQLDyma4bxpLfeJg4NOmlHpZodxfvHjcshRdLFonE2pDe83Cms+1ojDL9yHCSmn8+7LSGGmj8N1BH9PtA0Ha8lWTIfCt8aEuc6AxJwpHDrUY/OgqtToS/dBpKdWrsmqnh+tlteKPPry9ab65NPHxGTrSzlFGFnonHIRrUo9sHEGhSiT4AtaYAItbsBDI9qqTXbaNF6yFd9n6RY8zBaWjIPmpdfU1O/OnY9DnV4KPihch7MilfJYeAhG9BTRvd+EqX6fUwQxHLF0MyhKzA3xWKb69aePoegbQrpytBUPbm5olFJiFi17rV/VLkmr//2ZVyQHJCCRsmacgCemZBuKo7KNaCg9timFUck2TO+812agedYT4/wOFOaUCoksptcWM2rBHks2dcXbMQWN7tUm7P2mqluclp+Z3pj79/yq9ls9ypvGe0YMa9kmNFPUblMeSBld6WZTCqnAJF4T5qb40pY697MK3N86B6T4lUHlupCEV0U3wjRpR/bZakHllIRAsjCqr50RDX7tUoQTbv1eg1rxnd0iISHm1H0A/hLfsygsmKZM8lvVKjR1lEBxaunN6iyGq3EYmLW3KvriiDJO4WtwCspAS2boeNPwupBgxjBS/wwKYuMc8MGxJstJ4R52JuelW0xh/n/+Yrilx0R4pjfrmLYZFBmY1Jx/ndNRsMeS7CGGtBH/6bFMmQITalHcYEnRGBrC/cfNLgvMmuUZbIh3WiILde9HEbrg7j7lOpwV9Kgvrc3eV+KYhF9KqJplyBxxH0RTyO0jjcwlWy0hYhmn0jIN5j0d2YcGZvG321BcXY7LkOTAj+eLBv7+Pb+EfLoPorHK67Flm0aZYO2StHhvKG2hzC5nSmNfp3QGzbPY5oR7bSEQBsaxsVz33i6VM+VQ7xjaSTlOdC/OMteRrJwrcxZhKMP3glI3evgWf7tN0uWLXxnExnmXJcb66hUwBtOLFZiwVegGyIOlrw7g+XUxgdDIm/CWKIVNUaQL93ZwBPfU8Z/WCc3Lm3b8e5v+Ygc8St1OeGHFOnisar/VI1CIwKQtZxtN6CyW+Sxgpgr9G5S4FrQ4z9HQsPbwnEk5lCw93ef2h74GmqjnLARiPDBhi68o3GvLcyI4agu4wziTUjnfnASYQ2+xuCEvbIZ3ixc9YMwwqlkGeS1RwRVrIe8rbHY8T3yWu44AyOB7Zhrnjw4CNM6kVF6PrZp/uBmeOX0mGqfSklXzb/9giFTWn8D5XNyAs/T+Pb/a+r0G0OayDl6aMlPXsaxsa5hjVLUyKwCV4gb8PMaZlHgZGSCb346mxGProcXptLyW/utTEp5ozGbU3JdaHjUgX+D1qAH5PV3j4+PqscceU//1X//1f/19//RP/6T++I//WF24cEEp5ZjQn332Wfk9n3322f/YhP4Ne0qMWQwHuv7zIoQutTtGT5pHiWlc9k6rWvR2OygmS9LAe5o6NKt2RuQQpZt10uyLI8o4h0OIpks+AD0WPB7Vr/eCWvH8hHIdwySraKc2JWriFadxcxYmlXECkyfZUMygIVhQPqmufFyKidXzE0K4YibG/Xt+SDE0AcV1LCu5BvzeHwxm8s/g56hbjGknZRjRvdqIOwuzry/lSKwinXq6NQF5Qe2TSL0e+fApVf16r+NJuQhZVPjWmEiY8l4YRXN0PCNISNfRrNClgmMoVGiYZfFGQy6nZt40HiyBSTxsOcXNe2FUmirqh0m3ypnS+uyb4zLFo+xDEqSz+LqeazNiXnzwe7t/zw+yWLtTyPKBGBzDtoJFvns/NjML3+oQT4zHNiWjxDgBgholQLXf6gElShvGa5ekhakfeWFU1d/tlACuwt14SM+vmobx/wAax/INplCBqleAkMQi1nUkK7p8BpL542hoihsgvaN3iZN4NnHhPvxs7oOmNJIFexxDulJKfDf+GSdLhgnjoRvjynUUssKCFtynpZshuRv58CncdzOYGO/7YK14X5ggHxp2DPk5UxrD24SJZPF2y6HHnEtJmJo/oX1HcSd5PbYLpmD35TgAClpb75+xxFMRGrLVJ58+Jijd4BgKb+b7uA6Zan71tLp/zy9eLEqBcqYh2eD7+KCH6fMXC/CiHWjIiUbOmXLS4Y1ZoLwFWKBf08+nGDMYjSQrDjCoWY81YSBhzGZU5IVRNL6TzuCDhWVBi4ZPbMXXImlsx/e3qZEPn5Jmj7443p8eG5u1wttDqnwDBhPEIkfbnElrzXKcRe4rcVW2EdsqYzYjW4H8DkxtQzfG8dnrs6UhyevGeV21UqfL641dZB8+L0U7nayRkm26sT6fBMTiIAhpHtuU0Ldwry3Ic/cBU4zERDzXLMfGkT4u3zPTgltm8nTZRk1Fe2FURVtBQCQxkaAGym6Lt1tq8qOlan7VNHx9OsCUXhVvFkVjpAv3crgP5yybC1LsAuOg6EXbbJFgcevGBjG/A011wR4n/4cUM+M0nmnuy3G17r1daFxGUYxTMskNhS+JjblxApsnyt6ie7EVZpBfXo8O7Ry2nWZUbwhypnSGjc6viOzTfpZex2heuNuhCXLg5L4cV/ntaBjpkXEdBoyBWUz0OkRb8T34Uni2lG4xVcWdPuCF73Y6n7lJJ9g1fGtMAgN7frRaGSf1IM/GgKV8PYYHbNhiuywp2o1TaSHhufcjuJA5Ud4MfhbjFLaDsSZ8RghF4HtJgljONycFhsAGm35Rbxb/hG6Mg4444pAJCe6g+iC2C59h4vprl6YlAd190BTa1twFSTGfl683BWfvmnkkwfoir0cNyO/hun//vjIMQ/X39z/06//2b/+muru71Xvvvac++eQT9dZbb6nKykr19a9/Xf3rv/6r/L7du3erb3zjG+qNN95QH3zwgaqvr/8fY3i/cXRCVaxFoFReD6bVHhuGVBaExFgW7tZFbsKSoqn01QFlnIYXJDTshARRpuHNaI15QjchsxmRTkhhnMIhHpjA1yzZZgkBJTBui7eC3wMlBNT6ug5DHla005KVcmhYo1pHMUUjCjD35jjWvNpoOHdBElPrFKa3v/3MI1MYXkx8Lmy2hIhUsg2T3aKd+kGgwxKZKE0tNqUvpH9QwsBmgPQUj+WYwWngZBZB2SZM4ChFK2hBIm5wDAdk2Wv9yMY4n8TkT0vpirdrc+y5lHD/GbxGFnr1ioxopYt2OP4PXxLNUO23eoRHb5wCtpbvA+lNSinBNgYmnNc92oZmJNyHBzAJTtG9KPDzO2zRTdPEXLkGMgZ6Rjymg3IsbHYaAZJgWv9yA95bPU1m2rn14wWQuR2CXIHbvOhebFBYwAZHUNSUvjqgwr22WnB3H6Qe07iXcgfwsH0wndx9Oa58KRRHTM4mDtN9AA91Fk2uI1kxZiulxJDPyZ1xIiNTYuqNuf0ITNhCwynbpLMjZjOiqSdVhw95Up+Y58FE4bJNMKV6NYbSm3Y2hjR0lm00ZRNSvgHDBA4f6JsITOL78GpCE2WZ3jQmmJymf/LpY2is07iHixss8Zjws/DbzzwoXM+lHCTrwO82ICXbcG8W7AGpqXZpGoQ9TVBiQVayFdsf4r8LWrAFKdqBfy9usOTe92Z086GxyuUbTNmschpeuSYrPhBvFkVIQQv+e2EzvhcmbTNlnfQoyYGZ1CQ77Tmj5r10i/MZYvgcdfslWy3B/tY9gWk4J9nhPrxX3H7ynipuQJO87J1W+PM04c1jO4noDFyNNVqCwq6/2ym+FmbVhHttJ9DuBDY/1M+zkSrfAHlnpBPNkutSQjYetU+mxYQdujEuwXLeDM67so04S4OjkHj545ZMwlnoMdzPdTSrjNNpMUETHeuxTfXiLyNS5NNn5UvjXDBOOM1aXrezWTPOJ4Xq6DpkChAhv91Jiaf0hvIej21KcO3Yh8uV63BWQhnDvXgPjBOQiNUsRxOcO2hL9pP7AEI7uelwXUwgO+ogtmcEERjHISmqvNMnOUocnNXPjYu8iiG5sV0oqKtXZEQS6LqUkI1QbBdUCLyXH8w/edAvFxrW25fzSfnMMZjROAVvXd0b3SpnGpurnCn8/e79aBbp5aE/s/rpjDTahMVwC+OxTPV44ahyHc2qHd/fhma5D/cbZWEeyxTvRbgXX/MJb7eKvDCqSrZZauzD5RKYzOY03OuET674zm7xeHj1QIRht4EJW8KGC1rwuaQPa9Hb7arw9hAan6txFboxLmcw87jq58bVN+ypRw3IF3g9akB+D9edO3fUV77yFfWzn/3soV//93//d/X444+rr33ta+qrX/2qMgxDbdu2Tf3mN7956Pf9x3/8h9q7d6/60z/9U/W//tf/UkuXLv2d3/P/utiAXPqrfMin9jm63+AItJ4FLZZM+BkqVLrFFBJNQYvDuKf2XMLXtOkz74VRHE56usTEb28WBb9xPqk8piWFaGgYhYU3jYdoyTYc3MQg0uzICbRxAlQSpqSTbFW5BihG40xKDf71ClWxzlRXPi5FEdqmgwTvdiJ9dadjivdcjctqnVes0RIGfKzREu1quA/yilijNjvqpNrAhC2G3Pq7naKRJuGDsovoXhT2XX+1Bn6E02nQiS4lxAxMjKDHAp+fkq3i7SisGCJYsMcSaQ2N+5VrsmLY85gomKmpJV3Hm0FjEhjHZsqYzYi+lhKgwCSmluTLUxvMiZxSykkzHrMFkRkacuQR9GLQ7J07iMJ1fg22KKS1VK7B/VS62RSpBzcOwVE8KEkzch+AnGVePTCdRTt1GNxJncp7fUroXHVPpCBVOp4Rmdf9e36EcGlSGSEERFwaZ1LSDASfn0BD3uoYHitXZ6U4JnayuAEbhXnz0OwGnpuUJkQpJRp4SmoinZjCBce0AVX/w1TpcB++r8LbQ9hcxHEvLooMSxGYM6UbmglbDN/37/lBqdLhaEwa56Yy1ojPXOVqEO5YRK36brN4UWj2zplySGY8C9xX4pIjE9lnS+BYrBFNd+C5SQEz3L/nh6xoxBYpjT8OGRBNzL6U9RAKlBe9TN6sJSZ690F4Cvialb46AFlJuy0hbMZsRopm935T5DPeazPiY5k7Pwm/0nZswtwH8d8r1uFrLXlnL4AQjZYkPbMZnbsAWnSPDTkjBwy+JAopGmGLG9A0v/UJ5IqUbnksU0hY3G4yjM1zNY7AOo0Rp3yLWUb0+xBskDONs6ByNcL5SAgqbsD9nt9uS+NB6l9wDJ8l77UZkZzNWZiUBOziBpwX9M88OPxgXkJeD17fnGl8bSanl27G1rZ6RUYQ26Qj5Q7astUOjD+QZK/hBL4kmr3AOM6aSJeDm81vR6Ee3YuvXdygw2e1aTkwCeyxcTItmTVESCulRC5I+Q0/9yu+s1vOchrT581LPNTsc+DDDVrhbgyBKtZmRc7ne3ZKPfVuC7Z0mppIsmG411bz6vH1K+70KeMklASHfjJPxZog+aL02DiTEljInEUpweCTtkZkO7eKdYvT0sDmDqKxppHedTQrXrncm+PqzV8FVMEe/Ww4igEP0b28ODggiYrAGY+FAUjbB+tBhDyfRAPUZ8sgzZ/QOTkb8ZymDJoBlvntTsBprNGSzWqkC1sn+mzcl+OSreW6lFCFuxFwzCaO8BBmkXGbWrIVzzo2aMQYeyxIRoWqp59vBEgQjjCvPiGeVsJb5s1LiETPlXiUA/JFXo8akC/JxQakcFNcla831fbvbce0J2Gptz7xY6qkcwD8M6BJLCwZF9qM6wgedAwloy48NKTTkfWBVPrqgDLOJ9Unnz6GQnfSljA0bxbFSP3dTnnoGMczauzD5UDgNeDwMM6mxKwWGEeBVbMMBVPONyeVL60Lco1hNU6hsHFfhsk2OILDrWCPpa58XKqirZAVCGrzMOQ2FWuh4zVOp1XZRkeCRcKU62hW/BSxRhQa3AowtLFucVrd/EVU5XWjoYm+OKKO/7QO+nqdBMzAwvINOhH7WFZ8EZTFcHJZugXTJN+zU6p0M6hGriP4Pj02ijN6IGJNGpe5Wz9gLiRF6kQfgfugzoG4NoOf+U6fFJbFDZAsufebYjB0XUqo6F5bHf9pHehZTQ4Wct8Ha4UWRnoJNwmSzKuLouoVGZlIcTpPJKk3a0kadWhIU0401580ErL7XceyIpegxKBoJybpb/4qAI/RITTJ7stx/KPlXJweinRq2BbPR8EevI7RVj21PgcPjy+F9zl3EEVF+QZT8IzhPtzLNJTnvTCKJrQVm6O6xWmZRFNjzc0YaVLhfr0905ks0b0oMInEZsP+4MOdCOhIl0ZDE2Os06/rFqclB4e/3305rnIHHJxtxVo0T9xO5kw72Q8FexyZXnAUr3NwBMUIsbnUcZPpX7AHjZ97P3xU4VtjyqON7LkDTso9zwhK4ALPTQr84MEpLK/iBrwG7oNoIMK9+Nmpm8/vwLCEW9nC3SgOw7fGVH47hiLuAziPSA9iE1m3OC33fe6gY5COtqEp9GYtmdCWbNXG+iFdqA5j+0adOqfO4X4dCHltBq9tHH+ufAOm1bEmvWXRuUA0Fgcm8fqyqGLwqse0hLIU7sN7y9TnnGkHgR1rsmRwkDtgq4KXhhFMmEZxyfcxNITz1mOZ0mROfrRUUsW5wXUdwvtUtTIrGSx1T8DQHxzFfRAcxfvCoUz93U4QFbX+v3w9hgihITRjdYvTakHlFJoPTdmKttlS2HLDFu6znfwIvdmg/IuUuOAYJDHGLLYjgXFHukQPWdUqGO59SUf+6M04WT0MeQyO4HNEMAMxubkDGCrEGrWUzjLFo0j5V+7NcZHjEdlL/G393U4BpXiuzeB90sZmhoWyweK9Fu6zZSPI85Yho/7rU3KO0pNAX0juoJZWzWbUy7/MU+4r2OgZZ1LSYBJ9a5xJyZaXhTY32UopCcU1ZjNOUr3erHF7SLKhcSaljOMZ2YyQVkWoBpUHeS+MKvd+U617bxdobzqnp3y9M3xwHcmqirXw0+UOainnxQSkyTpk8PVfBZXvmWkxtPsTljTIQpfU0Ar3ATyXcwdswfeWbnae1Q+a8oOj+ns9lhUcf2EzBjxzFqXUnEWgTYZ3PzKhf5HXowbkS3KJCX0woYpeHlLz6hMiSyL5gxNNZiP4Uk5ORfl6FMPhXhQbFXf60KxwKr/eFO1+QQsOl8AkDixqWDm5iL44Ing9FiuL3m5XeS+MygZAmo+dOCzKXuuX4sI/g21J7oAtpnky1mkI91iQ4riO4IDzZjCZdF1KCGaY2xOGqvEK3RiHTGezCTKRzi9gSjmzENwHUZgxW4NTpsC4LSveDe83grijA93oL/Bem0GIm0YVFu1w0JyBCVu0mWHJsAAAIABJREFUvaVbEO4XujGODcEEHtZ1b3Sr6qczqvEHW0TqxakNC4iiHXj45g7YQkHx2KZQWYp2amlYM/7/wrc6VOWdPsmDIBErOIIDfNV3mwUFStNezrQlic/UzbOZId4xv8MWjHBgQtOjevXUPY1pdPErg2ph6YSqWAftOP1ElJNUrsZk7/49v2x8IvswNQ0N2Q7Z7XhGPfVuC4ykFxOqdklaUnZjjbh/OPWqWoUiLzSEwsKYzajoiyNqftW0ENWIp6RfihjRcB8KKRbA0TZt6t8CX0JwTIfGjWMqWbwdn6XQkJZf7YPkjIUigz/9MygEqldkJJhw1Xeb1bz6hCSAEwCR3+HIuuZXT8vGh/eqj5sknXfin7EQJnceCOVIlw4gPIRJvetIVtXf7VQ535wEjrbVliKaxbJxEgGA86unVdWqrMg6cqY1BvhqXBlnUyra6kxJcwfx2hnnk0IAi+2CjOvzV+3StJhmWSDHdlmCN3UdQYYGA+nmV00j1FJvhkh3q1yDJr9iHb6WcQ7vSe2TaN6Kt0P2GWuy1IJyBKfS58Ak5XA/ziFibld9txnNnTbkB0dsGQDULcbrwkk0E8mDo/ClUYrpMVHY5vWgCOb3ziA4/uy5A7g/eHaVr0f2hFJKVazNIqH8MPxLkU7ci0SVCuJVe2P4766jjoTuQUpfyVZ8//T6FLTg3/N60OzRwM5NeLQNTejYh8slGJRyOG8azwPXBaDK83rw2pOSRjnZmveahGJonE2p2qWQTRbeHsI2/IDjmTFOpSURnV6Xtg/Wix/He21GtP0L7u5T0TZ89kh6q1qpCYr7TWmq5yxMCt48sg9nwZyFQEvTjEy/kHE6LZte12FAHR4kNYZ7NQr5uUmZtrP5ZqgmmxtidYsb8LlzHc6i2NVNJgEcdYvTsoEN9+Fr1i5JSxPIzav/+pScTeF+fC+lrw4IECKvRyO4t+J1qlyTVfPqE8p90Bm4hXudTWZ+B+5rAhfYGDJLi1CJBZVTynUxIeqC5h9uRn5KH1QVgecmkdGj5agPZaboZ6d7P+qGsk3YnFIiWtCCwVjZRlM8i4FJ/BkS9SKdUD0YxyGDvvmLKNDAM3huug5nJUyR0uiyTaYMdozTaQnd9M84wb0eyxTKYM6UraJbH3lAvsjrUQPyJbnYgJz6oEjdv+dX9+/5YQq+Ele13+pRcxalVN1iaCy9GRgXC1ow5cxvxzSM6DumgS8on3Q4/0exmi5usCSojLQbj20K0pXygIKXhuFReH4CPobTadEKGyfTMpUseGlYNL80FLouJaAP1nkasSZMsCvWmSKbyOuxpXCqfjoj63fmKHivAUccfH5CHhK8apZl5AHCSTAnZJQUGbMZWRkvCg+qsk2Q+BQ3YBrrvTYjG4CCFjQZxkmkFrsuJkRaUPDSsDxgoq144JRt1IniWiMeHEHxU77BOUC5hcq9OY7iVj/saeYnK92bRmHIQoRyAYYb8iFYuhkFKB94oRvjqrAZfpScKee1i3Th4V6xDlNMmmTnvtmlSreg0F/xnd2q6OUh/Ow6qI/5F8yw8KUdE2C0zRbvEAOhaBqkZG/r9xokTNE4lRb5iy9pCQKZlKmyTaagnulLIumE5BTXITxswn22TLFju7AJ4ISVzROTjYu3Y0voupTAw0vfQ8XbMQUMDdkSrEZPEQsO43wSciqNQzaOZ9S693ZB2jSK14/ZKqFh3HOVq7PSKDNFmRN5EtDoSeJ2yJeENKR+blwITUSxlm1CMceigh4O4yTMyt4sCicWxwzYI1EsutdJbz/0k3nYMGjjMpOxC1oskerxs5XXYwtFjpk6eT3OvfTgxYY+dGMc/pHrU8AMj+H1YPAl6VctP9ykgmPOVozSvPwOFMUEA3hs/OzhPltt/V4DvFqDmnh0GBu7uifg5ShosSDHSkOGWbBHNw5X4w+dBZVrsk7+jn7do23YjrGA91immvtmlyq8PSSvV0ELmv3gKJrRkm2WYKuJkq39Vo94JJjfMfbhcvnsFW/H58x1DDJNwh7mV0/LaxiYwLnc+pcbVPD5CRTAo45ckpKx6qczMmyouNMHaMQGbMf9CUvOhtgu/HvRDku2yOXrTVVfB2phxTpTQgJrl6SV6zAaJTZ0tUvRHBGrGhyxBXRgnEtJ4xoaenjLljOF+7FkmxNwS9x4aAjnPLfRNDIrpWRDwpDTkq0oZBkcS4kazfGUFua3Ywpe0IL/X7IVOTDRVgcj7dXG9pKt+DoFe/A1I11OE2HMAqU8d0FSMmZEpjrsNKmeazPShBbtsGRbkDPtYGYflAnx5+GWjFve6Y+WgCZ2Y1wGAgvf6lBPvduC1/n2kPLHLdX1V2sewvC6DmeFjjVvXkI8JoQZsOkq2wQppk97wpgVxg0ZJWL+hCUqB8IUQkN4DrsOmULpqljr5GYZsxmhPTJAMdxrq/o6bJTLN5gPJZ0zV4meEHrrcgedMNTcAfydxmxG7r2qlVkZlNG4n/NN0L7yO5xcGGZC5e941IB8kdejBuRLcrEBcc3EVdWqrASWGWdT0G/roipn2pKHA82fwRFbeN/FDfjv0TZbjHuUH9Usw2FT+yTMmp6rcUkIL9jjhIcV7UAD4o/rFN87fdCvXwDij4bmcK+W4RzW2NMJW/CwxvGMyB3C/ZBHuC6gyGPRF+lCARMYR6HvPmCqnh+thulu3FYXPy4X2UPuzXF5rZhQ60tZQgSh4bFkG36OWCMeSkxe5YOTW5qqVVk1+dFSFRjHw7Ow2ZIUdfLoc6bQcLDJozY3+uKI8O9pfqTmvO2D9cofxwYkv8OZbjLJnhkuPOyjeyHzinShgDNOZFTlmqz6+DePAQ+8x5lKMb2XDwRjFqZU18WEch8wpeBRCqjivBdGATJYDQSi62JCBUfw0PJfn1KxJkv9yz98A4WsBhIwTdp1yJSkdJoTgyN48FH7bZxMK4+NosZ7bUZVroYGP08H6TFxmw/j0lcHhN7mPuAkJZduMR/yLGz/3nblPmAq68cLsBU7hK/PhGCPifeQ9x+RwEU7nSlnYMKW4MXi7ZaqeyKl/NenlPugqQ78eL6qWY4ckOLtliCIfWnc2xVrs6r2Wz0wu3aj2eOkmPdmxTpTQtiCI46mn1uSkq2W3Ot8eMaaLElUDg2j8C9fbwpwINJli2Qssg8P41d/mavq3uhWvmemxZgcfXEEXo2rcQk7c1+GB4QegeIGS7j7kX1oinwpvBddf7VGIADUsrOwyG9HUV6xFn/35y/jBDZOVauyslkr2GNJ/kH1670qOGqL2XlefUJyLwr24HzKe2FUGlpjFlvD4Cg+c+FenAXUw4eGbTGIU/5IGVi0VZ9tm5wckaqVWXXmZ1WSceExdfDkDLYktUvSqvD2kCSks+D1z+C1qX1S6/aPZBHeeTwj2w42lAUteK+NWUisiI9m0cjmv/rpjGy9KL0inphDIRqoC5vxOSdYgfKZ6td7lXE8o+YuSCrjTArFfArFNT9LzE3iloUFcmASP68364RO5rc7gIQrH5eiMdJo6HC/LVse43wS/rs2/RnTXsLABAZVHJYw7JMBmvPmJZT7SvyhZry+Dr4aYqUpVcvrcfDNvrSj+yeG2ziO7UtgHO9LcMxW135erApeGhY8vTeNBo2Br5QnRfY52R3uK3E01J3YcvBeJCyFhbrHdJ4B3DwvfKtDcqVch2DIlgZx0AmvrVucdlC1rwxiaJO11OP5I6q+Lg4Z2lZLyJOuI1m8h2dTcp8HJtF8MjSYV0EL/s7YLvgDw7fGxKcR6XIS4oteHpJzj4jkvG5bSF6UP236ix2qdAuGO3MXQJqbM61BEHrglTOlX7/j+Fn916eU61hW/eI3jzkytWszUEkMaqnbpAMR4OaaPkXZbJxEHWHMIlfMl8Km1XUUz5XYLrxGVSuzEk5YttHEfXXQlGR0ele+cXjyUQPyBV6PGpAvycUGxHN2WLTRZN97rs0obxb/7k9gEue6kFSNP9ii5i4AXtH37JTymM6D1DiZFpb9hvcb0STE0ViQKe5L4+HIaTJlO6RKVa5BERAc0WbcfQ5esPJOn0whgiOgK0XbwCbn2pQbgnAvNjm5g5pOtA+HCk3zsSZLiEmUihU2W4JpzOtBscHLfRmmUNfhrFBhdnx/mxQVsV0oVvxxTIUol8rrtmVLwe+DnoHAhDb6vzSswv0ocvJ6tNTj1hhkArvw/boPgvJE7TuLf24V8ttRlHHixIms6yjY+q6jWVW7BMneJDblddtiiifSkq+ZL+mkaPsTeMiG+1CgCoLyREZQs0opmbrSS8FJHAvmso2mTKV8mpo0v2bGeWAdNCXsj0ZnYoKN2YzyX58SnjsbCU6P5T66AMqN6zCkWS/+MoJ781xKcMjhPhTUNCg+9W6LTC9pdqVptrgBD2IG3LEoMk6nBatJ/DAnu0ztZkFqnEHhVrEOEgc2c8RKckvgPgD5QawJRbRxAnjTwttDkBHNWCLno4yARCeZ3u+HH6RqpU6A1ynmVSt1EKXeOoX7IZskyrhmWUYFn59QZa/1i1HTOIeARhZtkS485KOttpioZUChsb+RfU6ycO7NcVV/txOm3QZsUL0ZS0yx/hlsHQMTwCfnTFsPked4BcdQ8IeG8XrWLMuIZDBnypbPYGSfxm7240wobMZ76Es5QX9FO1DQRlttyQdgg81mjZ+FWCNkH/w8xJpQeDK/pWCPJcVLcMyWorVqVVYkSeFeLS3RhQw9K6Eb4whUvD2kcgdtlfrbRWIwZqFTuRrNgn8GPx+bvfINkKpwcKCUkoKXDc6it9th2tdyV0rWKI/KHXQ2iaSfcftJiSu3zIm/WQy63XOTCAfVoW0syvI7MMkP99tC2WOuinESUq2SrXiti3Y4QZTU9fM9a/zBFnlPOGAhCSnSiT+bM603sNMOqa1oJ+QxlCAWtDjBhQSF1C1GBo9xHvRDSiXpLXQdy8rAyB93yIH57Tgr8jtw71WsM51AXY2tr1iblSBH0gxdF5Lijyja6fgsCndjGBRrwr27oHwSmx79+aFna8HdffCDaRkWwzRdFxPq8QLk8hS8NAx/xJQtWTiULvE54nsG+HF6kXJvjgv9iw1b7ZNp5bqUkDwnpZDpVLUqq/JeGEWGy0WYwD2WifPsAQkds0q8WYAZYk2WNH/l67G5L96O5/6cRSmReXJgQYUFz3mG+PI9+PDXX0djq6WYzKuJdDomf9+zGG7R7yOobn2/eExLhliUbzHzpWoVzqNYoyUBlAxGDY7a4j0NDeP9KVkx/agB+QKvRw3Il+QSDO/+KUgCNGKXxkWaJX0pS4hFzBBgSFvl6qwa/OsV8FmcyKjwrTFgMbXONDiCzcWit9tFYkE9Kde0ZIAX7cCUqPrpjPJem5EcCoZhUfPNLAZmAlDmQgNgdK8Oh7o1Js0PNctcAZdtMmW65zoKiVLlahy47gOmICV58QBa9k6rml81LZN24wSCv5jgy1yH+rudqvTVAdnweK7GJRWX6FDmUvBhnNejdfObTUFWnvxpjcqZtgSDyOlQ0Q78/tguHaS42iHfkA5VszzjGN63OEF94X4n0bh0sym+l+AIpEIkeT2Y5uu/PgXij9anF94eEnzvx795TF4jfwKNy1PvtqiyjcAkvvOJV82blxDU6f17fjzIn85IY0UtuD/h6OW5BSlsxveZ346tVu4gfm7K/oq3472jJnnOQkdrzvvCY5mCgaThnGx9QgBe/1VQRTptlf3bx9XConFJWA9M4s+XbHOgCbFdlhS4Za/1i0eH9xjJO8ER536lxrpmOSZx73zixevZ5QT+uS/H1YEfz1euC0nV+pcbUMDuh9SA8pyCFhTTwVE0cpEXRsXMbhzPQKKYsaQhjb44Its6YkPdl+NCGSM0IvfmuGr8wRaRJdFfQQJWYFwXhtr/FZhEwRnuw/DBdchUZRtNyfkxzqFQCQ3bghwlHppNMqUYxum0TOM/f5G05EtZEiBWsTYr+EyGI/72Mw+kQFqCFOl0SE3UhwdHneC4op2WQCCKdkJ+ERyFfHLugqRINokQrlmWkQbEm3YaGY9tivcm3GfL/cl06HC/LaRAnkOVq7MABbRo1PWTaejYu2zZ8HE6S6hDuBeNVX4HmhCSApVSUsA+4etRNcsykoMRa8SmqnZp+iHaUH0tcg5iuyxpRDy2KVK/2qVpmWZLKrumIO37YC08YCmcq3WL0xKaSjKhx7TU3De7hA5XvB2fgbrFoPzlTDnBmGzOq1egCWbOE7cD9XVxaQ4Lmy1pNHMH8fkyzifFH+jNWqrnR6ul+S/dgtfS98y0vE48H3mOhoZAvIp04p6YsxDnHQEVxH0zZJbbCP8MJIiksrkvA+bCjAySH0M3xoUMFpjEsyDS6fw5bwa0rvL1ppr+aAnklK34ux+PjeGz24JBHjOBxOdzNY5nTyNe59Itpmr8wRY18uFTMGe3aUmXjcbEdQxY3vL1yOTge+U+gM8nL9exrJznlWuyqu6Nbmx/NYnRdSSrlryzV+UOAFse7rMFJc5QVOKMubX1ph3kNBskfu4IPSAp0TibUqEb4/Cdab8lKZqUQ0U6Iaci3dE4mVY1y7EBDN8ak6R1GQJcjgvAgMjqqlUY7kX34gwqbrDUh7/+uip4aVike9yqMLQ02P7IhP5FXo8akC/JxQYk1AajuHE6LYdjzfKM2vB+o3JfjotxlGtNhs0V3h5SrmNZlfibxUCexh1dvcc2xYheuyQtTQJ59Uve2Stse1Joapekpcgo3I2pVrjPFvkMpTC1T+IhzuwDovJ4GEW6bJlGxZos4fyXbcLhGZhAenu0DYVY8PkJCTYzTqbl4fagCZ0SlYp1pqz5fc9OIW1bF7YMV6K0x5jNqLo3ulXpqwOCnSWbvnIN5EFEF/MhF7oxjq2S3jpQX86iT6bLmqLCqU9oSL9GGrlJ/Sy57740HgqL3m6XIpaNB3XH1IgHnptUkS4dPKeNlJzKlm42nQnqbEbILUpBKsMJLI2rbAz8M5g2kaoTHLOliKSsJdJliwGVxCluioq3W7Ki916bUffv+ZXrUgLBVhcTMERreY8vaQlpjXQWj5ZrUYNP0zVDEEu3mBKCxmBK9wH4Uta9t0sKLtK5yjegsCGWlIUvp63+uBP6R/KZ+0pcKaVkE0azqefajCrejqkdTfOBcQepSzNkXrdD7crrtgUrySR5NkzMHvBfn5IgRco2aLr0ZrD5ye9AAReYxPvxoP+KUsPCZgwF3FfiavKjpdhKPT8hUr9wL97TBz9vOd+cVGWv9aO5156cOYtSkjrM+90ft8QXQuLd5y/mlJBSw1A3Yna5fZi7IAlpyDA+p5Eu3IM8UyrWZlXl6qycQx4bGyHPtRkpKmO78DljoCdpSDTwBya1j+wmsNLBMVvIU8XbdWGkzwlK7Ug6irbis86EeG5nKS0t22jKWUCyYGGzJRlFcxYmQRnT92Xt0rR4GyiXrL/bCfqPltTwDGCqOAtwpnLPr4bc0ZfCn6ldkkZIp35vYo2WNJ21S9LYfuq0+fL1psinGNxXuQYJ35U6B6dsoyl5JQzy86UttejtdlVxp08Vb4eJvGYZNPm5A7hHeR8xt6fuiZTQm4xTaQmCDA1rmuB6fKY5aeffyU16fjtep/L1gIgER1AUG6fSwM224+wv3YyBiC+FhopQCk7k3Qfx2tcszwg4IrYL3ytJfaEb40KPo5elcDc8PMFRLVd6blIVNzj3F0Ej/Jp53U6zGdmnmx/tuWISfGgIvy65MpqgWLIVgxFKdBlEWvdECiGKDXoDqkNTa7/VI3h7XvkdeB9IieTf73tmGnTJA2gSfCkMcvhcpJyNQyFvGk1IpMuWz0bugCOZom9Eckn0ppoy4JwpKB1cR7KymaxcnRU5cnGDA7eRLCadP1P66gDohZrS50tach7Sp8hapXyDqaIvjkDylnUGr9x+RPfie1r87TaV0/2oAfkir0cNyJfkYgNSvHpG+VKW+sVvHlML3+oAH5uGrdd7lfcaErt9z0yropeHZMLojzu89tAwNiO+lNYD78L/1i3GepcHVMEeSw4FToHy2zHJoW6Uhkn3flMSlZmInjOt8zambHXgx/NVYTMOBVKboq0o9JiEHXhuElhKTTphqJnrEIqPgpeGEZCmKULG2ZRIhALjjhzEPwNOO4tj40xKMKqk8uTeHFfG8YwE0l37ebHyz+C/RffiYcSp4v17fuU6lpVDs/iVQWQnaAxqYMKWYMby9fj5SzebIqko22RKqmvuAAKSaEIvaLFkas2gOmqF87q1ZOZsSvCTkX14KM6rTzyUBRCYxGSWpmLfs1MIpNQBe/4Eti+kO4k0RCcI1yx3Cmn3ftDNonshoQmOomBkIxUaxn0QmMSDsHQLTMehIUzYWDRH9zqhUEzzpsmchXe0TTdkB1EEkO5V0IIGghPf6hWQkLkPYAp5/55fFbSgkKSumDS1muUZyDT26onrM9PQtt8cl00Lw9Tu3/ODBqOno3zYr/jObqWUM10s3WxKKBuxk67DSPHN77AF9WmcSUnGAaeavrTGEl+NK9exrKp+vVdVroGMxDgNQpDn2owq3wCpDqeNgoFu1TK4Q5C9Vdzpg7HaMgVo4LHhmamvxddhJk9xA17PuW92qbwXRqUQyW+3xSvlupBUHn1uBEd00aWbHI+Ns6B+blwZs0Bu+9Jo6vJeGP2dc8o4izC+Hd/fpubVJ1Td4rSYn+cuSKL4002Z60JStqrMauGGiUU+9f4szjgcITCBMiEWHg/Si4yT2A5Rt88tJmVrxQ2WyB8p/SvaYclkPLYLZyszlopeHhK5F4NVAxO26PkpYfGlUDCVvdaPhOmzCJdkcGPpFo01vzaj/NenVPZvH8dA6FxK8NXMH/KYWpK6CSS56qd1xsitMTWvPiGDBv4srosJFNZ6kl2wB00UIQ3+uOX40uIoSIt2aAS2/tzz85074HxuaerP68F9UbQD5zeD6PK6bfH4MYeFKN+qlZoWdzotQxp6tEo3Y9jExndBOeR4SikJ9ssd0FlTGctpRo5DWsvEdd4bpIQV7dTn3fMT8J/sc4AW3HAZJ5DuXrUKEsjyDaZK/e0i2U7yLKdEN7rX2cTRV+XN4H8Dk8ip8aX159HEnytogTG8aKclz+rQkC0YZ8EI9+B+5dlozCKU03UkKz8LPXVssnnR41S425IgxcXfbpPBH5/ToSEM8UI3xgVznteNzWRgQiPyn5kWAEjZRtynzAKKdNkSLlq8HQ1+6MY4ckUa0WQf/ckcVbMso4zTaeVLW2rD+40qr8dWi0IDatk7rap0i6mqX+/F+3VjXHmuYhOVO4DvnwCHWBPOJf5sHsuUfC0BuAzassljQ1W5BlLo4BjOtm/sfxRE+EVejxqQL8n14AZk7ptdYgT77iceHHhX41JIhnudhzolQ0SicrJGXXLxdjwwcgf1g+ignpDNZqS4y+txpF1PvduifElM2FwXkiraioM3v13LvvT0pPmHm3FoakSwMZtRuTfHVe3StOiEWZgwu+T+Pb8yzidV0Q5H4sXiLLrXlqCq2qVppInPoCjgg4qX+6ApTHYW2QwRZPq1pKPrzATiABnAVn+3U3wtlOa4r8SF2DH90RIVujEO6cyNceWxnYc3ixKGGea3ay34QYSgUQrizVoSBhbZpx9aGrHJf975xAtj5hTeg0M/mQc5wYsjUmQxMTjWZAk1hqm2BXsgCxECy7iDl2V68sKySRTvl+NCd8kd1I2CzkcwZgENIF0pOArph//6lEyXGUpVuBvvaX67nnCvRaHuOpoVjwlfc+q/XRcTgux0HUVxTtOx62hW1vvE3nJazHR2avaNE5iokvRC0yQ3Pe7LceWPYyrKCat7P/Cz3PzkTFvq4sflSikUizlTtmSJRNuctPNV3212XsezKUlPrnsCDaPrEGQoAhvotxHkGMcDPtzrEIVo9qaMjbhqhkjm9WjZ1qm0bJuKG/B1oi+O4D44lwKxrs9W535WoYyTaVX7rR4YpLUxONZkCX422uaE0wXGddPYin8XMMGRrPhm9n2wViR5lOR8/qKvyTiXkkTo4Ihj+A1MOqbxmmUALfgTuE/pV4l02ZLqXrsE9wMn49yWkqDmTTtyn7wevL5FOy0pHld9txnbKb3dCo7ZQjLjBJjT1uCYLdjvaz8vVuE+NPX886SRhfscyWPZRk3305ub3EEn2+Qf//7PsenTXq6yTaa8RsXb0UjmTDkABzYWxnlk+yz+dpvISeiziO2CpI0bC0IEoq34XufNSwiVrnI1PEihIf15O5kWL17FnT4Mkjps+QwZp9LS/AdHHGpeXo+mD12JC7HKmEX2TbQNz57oXvze6hX4PBc24/3k2U+/WWyX3ipplGrhbmx2uBVj5o5SyvG3XJtRZa/1CyyEsBLXsazI7Og94vNKaI17HNCFcSaljDMp8bsxI4ib/dolkL6VrzfFY8IzjdAHX0qHo+rnAP04FWuzEu5Y/Mog/Jla+hfutyVdnoOmBwEmbEhKN5vy+gbHcL4e+PF8FW1zzmOejQ9SsIJjuEeKG/CeE99MlK/rWFb5r0+pirVZGRjRE8N7lu9P4W5LMolCN8aFsEfARdlGfLaZDcbP1Nz5SclgqVyTld8X3Ws7pL3jwPpWrslKBljOtEMtYzNCiIPv2SnIzq7NSA0QHHOIgszlob+PygfZ4I3Zyjv0aAPyRV6PGpAvycUGJPJsj0xjCvaAglK5GlpeUoByph8uiqc/WqJcR2FULbw9hEL/BCYsNLYasxlZrfuvTyFUrc2WrYDHNuXP0BRetSorfPWFJePyYCh4aRhf90xKJktMzuakprAZq/1PPn0Msp4eRwdNs2ztkrSaswgTuOoVKFaIA2aR7c1qak7akYOQuR/uwyEe7rPlYVm0E4d/yVZsQY7/tA4T1kE8DIKjOMxrlmekqC7YAw2qcQLBSjQ3h/uwwSnbZEq2QF6PgzYM3RgvPF34AAAgAElEQVSH9yKOCXTZa/0gyuhmKtqqGe+azMUASV9KP7h68fdzjU3pUmDcFu11uA/FBJOqmf/h1X6D0JBjzjNOpyW7gXCCop0wBVasM0XWwdC1irVZFI06qIu+D0qsom1orGgedO8HHWnOotRDjH2CBnKmLXXv7/8cOmE91fVRHz7mbBFcR7LiA8jvwM9StRJBjZRUxXZZ6tzPKlRhMx7W5NhHXhhVrgtJyXPwJ1Bc+56ZFs9Q6RZTLcobkvsudwCvzVPvtuAzpBtWpRQQnS8Ni+TKvd8Uz4Lnalym3aT1FO7WGmkdyOg6mhXkMxPCo63aaDrj6MNrl6YfakLYtPi04b5inSnQBuY5vP93LlVfO6OM80k1ZxF02ZFOPOgLmy2kj4+guSvbhEl16RZTABQeE/Kbgj1oriNdeE/XvbdLhYbwPZRtNEUKdu5nFcBQX0iqRW+3K+Ns6nfOKRabroug8rmOwsDuOgQjcetfbkDzMmxLOnnVqqyaOz+J6WWT9kQty0ioW6wJhU3ZJlOM0EQQ+xOWFDn/+zOv8l6bUb/4zWNi8i7YAwQ0J/M0QBMF6jqclfwLygzDvbbkGVBKxswgbtbKNsGH459xTLIcPDBxOvriiKpYZwrCt/ppkNWYO8PspsAkzmgaZxn6WfcE3tOqVVm19XsNyn3AFKM1YSIe05KG+MCP5yMJXvsBcwfxe/kZZzI4wRj5HbYDEhnF91K5Bg2Y+6ADpiDu16vJT5QOMsyRAwZmKYWGdRr27SFgg3WTQEACE9VdR7CFMs6k1OJvt8FPmHW8RcExNGqBCfz982tAuuNZwYT0gj1Au5P+FN1ri9QztksPPLSczJjNiDci1oQilpQohuRyIBdtw/tKP1RkH16juQuSAlrwx/G+Fu3UHpi7nThDO3XA45TjoSzbZD4UqOuPW0IE4znHLbpxHhhbZtdUrHNC/jiU4cUGxR/XYbsaCmKchFeJOSy8n5nC7jqSFdw1ZZllr/WLjCvaZgta3ZdEs8H7lpABErI8FvKZKLck8pgbZc/VuPg5KQFccHefNHDMCcmZBpqbKgB+Vuvvdso52/zDzXLWhYZsycNyX9ZhjrPO9so3+KgB+SKvRw3Il+RiAxLdjjwKBh3xQDdmYSQt36BNYcM4LHMHnBRTho4FJoHk81zDtPDXnz6mXIdxILsOZ8VIV7oFG5XaJ0G08CdQsFDnXbRTF1vHsmKiJYo13I9D0mNDQlG9IiNrZ38CD82yjaZ65xOvrPB9KUuMkEwc5qS6alVWwt5qluPnuH/PrxZFhiU8jxfRppQE0PQZa9RJs1fios+n/Iu0DR7aDGdjUKPrkKnmLEwKClUC/p6ZxkP65riqvNOHxmgSD34WqJTaBEfws/Nw5Gq8cLfeHO3UmFMTxJ28Ho1KfGFUCC7RvXhf/XFM9ijV8Zgwv7suJNVvP/Oo0s2mTPBKtwBfbJxPCi3MOIOitnC3JTKD3EG8Z6VbTDFm+lIohBi+VrEOTWDBHvhU8jvwmlFqVrQTxVW0DQ88fwIPWUqZuIUq2YYHKWUJxvGM6P3J22cgXbTNlqwF3sPuK0hNL7w9BGrQAfwswecnJFW48PaQMo5nZGvj3m9K6nzd4rT6989c4rngPRnpwj1KjXWkC/cZwwY3vN8o2El/HEU8Nx/+BLZ4JdtwP89doMPSdBGU346vyw2S59oMcj3ilhTC1MqzwCJwgCZL42Qa0qQHsnk8Fhoy43RamvTgCF6j2C7gVHMHoeGuWplV697bJWdCpBNnB+VdxrkUNOaXEur7f2dgOHES/xTuxv3pvz4ln+XPX2K8z+pGOANssscyZeAR3esUcdyIcHgSHHWC34xZeFDoF/NmnXuRuUZE3eYOoGjKb9dNpy5o6LtyHc2Khp3vuXEupcL9zuuQ345BBT1s3FIVtODzWbYJU9m585MChnBdTEACcmMcRf6oLRk+nHDHGlHQLyifxGdPm379cUt8DEU7Hk53r1kGAIDnalyM82yoOaEu3WKq+dXToCCtRBOQMwUZHjcCBBQw1JXbXON8En41beDmtsCbReMa6dS5MyfTkD+eTIvUkKhpkqJ2fH+bBA8apyC5y2935IzESvPznjOFP1+9wtleGOeT8joUtGCYVP00hjekUZFA50tqD+MJgAZoOg+OAGYSGtJnpN4g5kzD7B4cdeTDwecn0Dhm8TNXrQJxbsP7jWrTX+zA36OJX+6DaPDq5wJlLanmM5jOF7RY4tHwZvDsqFqFRsxjoqE6+pM5IDo24nNKf0SkUwfCTmHTU7xdY5sfgL4UN+B89M9omEXKEpqhUkqM3+4rcWxbnp0CMKULr0HpFkADCndbkmlEWS29deUbTGkEAuOaAHY4C1XFMqgh3AdBc6xY61CzfEmoEIjNzR3An69aiXN7w/uNgL28MCp+z5KtlgwmKMUzTmQk5JbDmWgbzgb3fvgDSeokHY6UzqpV2PBUrs6q2ichU/NcjeP1XDvzqAH5Aq9HDciX5JIk9IGEkH38caxdg6NOCFL1673CtK+406dclxKyzVjzXhOC2fTko25xWkxmLGhZVIWGcCjUPpmWgrGgBdPYwttD4P1rEyJN0QV7dCGoH65cpeZ165wHXdjS4ByYRAHl3o9mxL1fU1BS+PNe4kovx4VkwkmO61JCsI7BETwQePmSlhTgpa8OqMYfbIFsZVwbOPWhF+nEAcfpamgID46yjaZkoJRs1dPEAVuKFuNMCoXDhaRMWqufzjha51NYq5dvQFYFi7UrH5cqX9oS2UT1Cm1CP50WHSyRuMExPFBKXx0Q82thM4rJop2YkHp09gW/95xpZzNlnEmpwmZLDKCcttUs01PYZmxlaHDd/r3t0LDvdIysuYO2g83tdzwom/5ihxi/8zvw9xLPyfV/2UYndJFUFerTpz9aIghoUodiu3TRpSVOxrmU5NnQtzO/elq8H/OrplXuIO5pJiOTVvYg+pjvG7M0gs9PAMygZWDMbmDCM0ltxdtRBBEpykR0ShXcB0z1eP4IitNOTC0ZmkmkM7XuvmenoJNucrIMuJli48AUaZopd3x/m2jP655ISZgh8zNiTfisczr5IHHL98w0CqwJnVeRRtFWsxwBdcExFF40hxJb6ktZIgfi1qTuiZSEdEb32pIf5N4P/PTnr8LdmMLSlGqcSWG4ock/DFirXINipbAZgXxv/iog4aVFO6EDp2zQl8T0e2HROPwOmtJEnG/laoQPGicy0qgRz0nPUvUKbHeLXxmUyS2npYEJjUHV9LyaZcjl4Ou74f1GVboF0pC8bls2SXVPpFT1ChRAItnRCebVr/diC5a1xPhcugVNLXHM9BTQg8ICz5jNCKLaOIezhpka7gMYBLFoI9TCm8G95TrshJHWLMtICGP0xRHxNRgnMgL64PnFe7y+Lg7ZYDvkbNxeR9sweeazoqBFy/WuxoW+ZBx3tgQ507rJO51WoRvAyRKwUfZaP7a607gnqldkHInhybQQDQt3a/+B9thFW3FWRDpRlAcmcC/SqM0ARfcBJ8Oi7LV+gSawgec2Q7wgp9Pi52Lh7jqSBZTlWz2Sx0P5KEmQxsm0cu83JSCSQXnerCZu6XshNGwL8al+bhxhqSOO/4r0KUqlS7Zhq1S6xRQYR2Bcg1Xu9OEZ8oD8kTk53rRjrOeWilhhNjzhPlukdu4DaDwo3Xz1l7nAoh/Cr3NgEO7VJMduNOg1yzPq5i+ikEfbptr+ve3YOuigwafebUEj2uQ0MXndkAi6L8fFI1OwxwLJ70RGtjvVK3B+5nxzUiSOxgmoM8K9+jw5mhWQC3H3rovYuLn3m2p+FTKR/AlLFWx+FET4RV6PGpAvycUGxDuUUGUbTTFycsqz6rvNymPhYRF4blLl3hwXnTSpK76UU1yGhmEYLtiD/x8atuUgDw0hLIkPXWqt87rRtHizKHjoHyls1kFnuqij76BibVY8HXk9mG6Ehm2ZVtfPjYvZ1HUBkiCP7XDAmQVRtQqHsTdjSSIzg+E4TSnZ5kiwqP8n1jPcb6uWH27CGtm0JK3Wf30Kh2YHHu4LKqfEUOq/PiUBfou/3aZiu9DsMLyLSdo0PEbbHJa575lpVbAHsofcAWCNmcVQ2GyJ7p2FBP0iJLgYxzMI2LuUEOISC9NoK5og14UkktIzSK3ltIuJvZxo1SzLKF8Kr9vC0gl5cM19s0sM6iQKGbMoWJ56twWTcZr4dSMQGrYFxVjcYMk2JtLl5Cr40pZIWO7f86s17zWpufOTD/lHuN1gserN6In3SWz1+N7TT5Lf4fDrSSfKHXR4+6VbTCT3bsCmiobscK/eMsxmZJppHIf/id8bi1xvFgXNy7/MA7L5OBo116UE5CS7QXRjs08TKyfWrqNZ9Te//v/kwWqcSgsCO9aEQtJ9EO8/qTGUELkuJkC3mrAlx4L0HfcBSL5YJBjHM5IUHhyzxePFRoNblMcLRsR/5L4cR/L5NydV6Ma4WvhWB+hhFxAy5jExGSXKM3fQFsqYBBjqzV7OlK1GPnwK+R0Tv7sBKd2CxGya4Fl4rvjObkHa+hNoYGqWZdRbn/jFuB99cUSa3ZJteL9iTfqznnS2EPQn1D6J+6VyjUbEnk+qqlXOpJweCX5N1yFIqQpaLAnY43aJTS63ZO4DaDDYIFNyteP725BvshwTaRaHTJAP9+HzuejtdsmIKWzWWUk6OV6w4KfSqujlIcHWcnPkzTqDHI9tCpaXPpryDbgnSregwKQksGgHfgbXpYScKTXLkXB/8eNylfPNSUyK1ziZJeFepwFxHc5KFlDRDhD1fM9MS1I8k+n5eyJdtshk3AdMOacinbbIBUPDzpaT1Ltwvy2bIl8ShXzRDjSsHCQopUTHn9/hbAE4IKhYCxqXxzIFVxxtQ4FctQrNTXQvzghS9eYsTIqxPziisbi7sEGuXZqW7Ub10xkJCwwNOUGw3Gh4bAzbfNrzyGFRzXKYr/lrOVP4s/Ts0EuU34HXvnI1PBnGiYxsnl2HsyLdLNnmbH/8cY1l1hJL12FHgnXoJ/NAFWuwRP7kTeNeJpwjNISzghjgqlVZ2UDlt6Nh/vWnjwHNr/H7xlnIn8s2YmhRvt4UrHLhbgf1zcwb9wFT4CnM0wkNoR4hkc0/42S2UM7HLTOlxd4MgBXVT2ekyVtwd580uJFOHfA6hvfcl7RkWxhts0UtEdtlqWDHIwnWF3k9akC+JBcbkOr5E4J4zevW0qsTGZlcVqyDBCtn2pKJOCfAxmxGLXunFc3AUUwNPTYmtAvf6oCc4FhWGhmuQTlpj3ThIW+cSUmxTVIPE5erVuKwdB2FLKH4lUGQSl4YVbXf6nkIuflglknFOuhk3QdNCY/jNJP67bo3urFNOWSKlIyYXn/CaUBqlmeELuI6jIOdfHVOhoxzKckYCA3ZQt6oWOcE6pVvMEUbHt2rw9OyevOgMxrm1SfU3PlJSTDPmbJlsuqx9OTyTp8QUWqWQ35R2GxJgjxfy8AEJpmuw1lZebsvO8GETEgm9aVyDaZ03G4Ex/D6Va6BJ4im9+CoLfkPRKe6LibUorfblU/7K2je5grefTkOqZqmDhGJG21z9LpMvCWVqGQbGqBIly068pxp3AvMUGn+4WZMZa/NYEtze0hyLxhcdf+eH5pqTW0q24hJpOtwVrkvx9WCu/tg4k9b6uVf5kGCpkPyKldnhYbkS1rq6E/mCIq4bjFew9ItGs98yBQiVF63LQb08K0xVbkaD/j79/wgeemf//rPi9CYa9/E/Xt+UJZujYmMy6cbNOMc+Pg02Mea0LzRZ0ApYfErgyqip6KU4xknMmLIpRzHmIUvgmhNBjj60pZa816TFExVq1Dw0DdASgxxr6FhNFH0UhgnMir1t4vwuT2SlSa8bCN8RoXNKKRLtlqykWCj9PnLOImt6siHT4n3iMZgyk/oHfJmUCQQQpDf4eBfGZRYtTIrnqRIJwz+oSEUmhVrs8p1CRthvpY8W5jEnN9uyyaPhZs3i00uByYeE5/7ghZsXSNdOhhUywWZ5O5LO3AFZo6Ehm2RxLmOwBQdfXEEA5O0lqFldWHYhsKaGTUP5oP49DlTtTKrRj58SvmSaN7y27Xp9puTklRef7dTCsry9Sj0XMey4j2g7Cfcrz0MM5bIRnMHbKEMsvlYUDkFc7Vukt37MXnnkIayOdclpJhXP51RZa/1C31txXd2q+JXBhF4q0NRvVlLwvm4nQ1MOhkT3LjV3+1UxvmkqlhnSiNQ+uqAUsppQB6ElgTGca8QmxyYxPMprweUu8g+W7DHuYO2mPxZ5HqzzkY3fGtMiuvcQVsVvDQs3gueQe79eG99KUtoku79+OyVbTIFiBFrdIz7q77brMK9+DX/jCWbhOoVCPfjlsofR1NWsc5Ui3J6Qck7kpWU8PwOW0z70VYtbVqF840eNd5PsUZLGgRuc+m5ibbaauzD5UDoas+H65ApdLfApC3Plg3vNyIlXX92XYdM5bqUUD0/Wq38CeC5vddm0OBpn5Hn2gwazWbHG1j3RrcyzqSccNxteN3cB3B/8fvgJirw3KRacHcfnntXIDMnWpvGf9YDBXswKNn6vQbl3o9hXvXTGfFiEaax6O125b808KgB+QKvRw3Il+SSDcgoisL79/wieSndbEoeiOtIVghXlCfRV+G6lFD+ODS+5RvwwY10ai3l+aRyXUrIA5nBXNyauPebynttBivTWdCLjFNpVfcEWOCU/Fz7efFDxufIPls47cHnJ5C5oL9vHnSuo1lJJK9alVU7vr8NxUDa8UaUbMNkL9KJ31/cgIan9S83CIucF5POqfcPjKOYEELSM9OqbCMenK5Dpsg3wv2YpnKFz0DAinUovP0JNA7Ul0qatcb5erN66zFoi7GTkiQe/oFJW1CWUhDorJZYEwz8LMi57aFROXfAFuIV9fHFDY6kLLoX07vIPh36pieWdU9gYxKYwL2ilFJ1b3SrRW+3q+Aofk7KhMK3xoRfT+lMzhTCvwKTmjR1PAPowDFMs4kyDY7ojdweSwKjgiNaBpR0ZGSknVCzzeKmuEHnKuhMBT4cuRHzxy2ZrLqvxFXuAD4HwRFsctwHYIy9f88v2zPPVfhBwn24bwqbHe8MJYIkZRknMBGkFl0pJdp4GiHZsDJHw70f5lBOkTe83yjGWaZ6B0dsSYR2X46rso0wZxpn8TDndm3um13Q6h/OStPI0LBwP0gz9EYx/TfwHLYawVEUo65DpkwJw7fGxOAf7kOhPGdRSlW/3oup/KjjE/vw119HwzhlC7rXdTEBM7KWxhin05LF4p+BDOrzV6QThZYvjc8emwHfM9Mq9+Y47jWt3Y7sw89VtRKS0JJtlmCFXUezkozOjAVO0l1Hs8p7bUZVP50RFG/hbktQ4bVPpiVXgRN0EnNCw/heaFy/f88Pyc2xrHgilr3TKnIrSkv916dkkswCypu1hPgkEs0zKQlszO9AETr3zS55/ZVSavG32+RMozy1aKcTeFqzLCObwcA4putsogubtbxW+7dKtqK4JXI71mjJRiLch0EC/T6Va7IS5Prxbx4TqlfVKhiXSXQr3G2JZ4/hj9EXRwDR0Lk3FWuzDxGpKNti3g1fu1gTfHdeLT31J5yifM6ilHh66ufCjB3ud4rrgj16+5t2JElsKPl+hfts8RLw69csz4hMlWjv6F74PkpfHVD57ZBu+pJosqtWYuBDY7037aDMcwd08KtGOEfbtAF/EhKv4PMT8jwrbMb3z8wakioDE3jvuQUjeS1nCvf+nIVJuRc8linPZiK+c745KWG3fF8ezOB56t2Wh7Dn4X6N1Nf0uMLdkHbRcJ/XbUtmlHEupervdsrXjLbpRk5vaiKdun64NSYYeSooAhOaytdqCzGy/m6nMk5CUlqyzRIoQn6HBgMMOIGmgXGc+0Ree6/NKNcFBFVWrgG5kJlhNJgX7dCI6pvjqrAZTVf109jyVa3E1qh8g250rsSVv//RBuSLvB41IF+Siw2I5xz8F67D0M3Pq4esiQbAwIStFr7VAS2/xv/5Uijeg89PgJW9Gg+cNe81SaJp7ZI0MIgzKB5LN2s/QJ+WLuzH4WycyKi8F0bx4L09JMWUx8ShEelEkdz8w83K9+yUqq+dUYW7LQmvcx80hbwVa0QxsbBoXDwTFWuz8iAgpYWJ5MUNltCZGLZUtTKr+n+0UhlnHCKPL4W1fs6U1jZPOqZfprT645YQO6jhNs6mJOzIm7VEK5s7gIfAq7/MxfRSm4eNsykVeWFUea/NqOd/Uajq3uhWHhsTyfCtMdFy5/Vo7bJG7RI1yGK3Yh0kaK4jaJaibXiwPvVuCwISFwN5TAlUfrutTv60RmhNHhPeBm/GktU/MZDug6ZIdwr2gJSllFKFt4dUYALSmOIGTAz9M9Ak50xbIm2hDpc5CNSbs2CpWolGx33QVBveb8SkbgK/TmOzL42GsGQrGl3KjSjvy+txUrCJUyzb9H/Ye9PnOO773PffSHKS7tkwM5gZDDDYtwF3U1wtriC4L1gIYiGIldgxAGbvbu6rSHGRSMoSJYqSZZuSJdtyLMeJrPgosePEdpzk5oR1qk7VrVu36tStW8X63RfP7/k2KN/3rGKhq1w5x5YATE8v3+V5Po8lJv3YoEsLYoHGAnJ1S1qKnuYtBaHSBOdwjfmKtkAOjKsFNOHalxKecCfClLGs/3G/SNKUQqYM9eaxAZ1cr/0PTEuuOG5LZkp4whGTPAvW0JQ2PLMJ1RQ140ZeMmBYyLC599zDNLS8G9NN733IFX1FW7ZNkTF8Jm5/zDtZd4N1DijRuj2WbHc4JDCuFSSw1J9FU1S/G0ZOz1k30JBkr+gQ7un63Zq2p42+oek/lWD58zgX9A0Yt7MqOOuot39Xic92MydFSe1eNNjBlGsMpzSz/MNJVfnRhGjy2XDX7rOEGud1LNks0LwceHtejLX+LIoRmrR9BWzMwpNuiKjXtgRRSgmPcSOvDv7iiDSmdW2W+Bqij6cFB1590Bb8Lws+0p6qD2mPwL20in8wJUn1SikMB85ZkvpMXLUYv68UhBRGE/nSZG7mNJWedgSpSo9B9UE8H2kcD6RRCFJiJP4X3Rz78vgPZZEMdo2MurLEpfkaBGMEZx3J5GHiNYdDsUFXXkOZrvlGRjXuANa5dp8lzRIBAvyOmQaulBKZVuVRbKyCc474eUjzqt2rZYlHcT9xw0b5E3GxsQH9HnszLRuFyBjOJ03M6350Evkph2z1j//+FyrRbqt1PzopDQ/lWMxX4Zad+VLGrZxsfymPrN3nbsK4IQks2pL6zcY1NINnjnmhqPxvLaiuL/erqiM4P9x+cNMW73Weoz7W7LekqfPaeFdy80QgQ2ARfxPvf2ZJxXvxrGK4b2xQhxbfzUAuqWlroWkt39Jywf/5n38u7zjj9RzSzXVwJoE3q1vSeG/oTVJg0ZZhXusXHVBLZFxJanIT3rfBOdQjJfMuha1+dxHBuo+nlXm5KM1b2Uk3PNRrW+J3pXk/2rncgLzIY7kBeUmObyah0+RKU6bXwo0anEMhXbMfDyKvDQykTK/1ZmT9j/sxpbmbUcbVgqzAyVpPfjKMB+a4O+UwbuYEFRl7PK3M85ZMLmoOWGIOKz+BFwaDwKqO2IJ8TW7Mq/pWS62rTanoMB7c7/6+Ah4QrVevOmKL/CI8ofGz+uXDoq7iOB6sJGKUnXSLIQY3Mb+iZB4Tw/a/OwAj2+0siqObOckwYbPg0+v7sn5HCGCREZ0rcbEoE73/+Z9/Lt4WTrdpAKdpn0GJlIy0bMgr87JORtdm0mdPA7IVMi8UVcV3QSfjip/QgODDlPLn0Lx4zuDFv/7H/UIsMq5gMraUGkavxor1OfHZkIK1tmEeqcRtKLiM13NCVoo9nlbJTXm164tO+DPGHUkUjveg6In36ianCBMx5WZM/vXalkh8IqO6QdbgAkr5yvodkXdUHQY62lew5d+LDkHOQJxneFInh2s/jecMfodxKycFWfg9yDC89/HyIzaSyEZfwd2kBRZBL/PeT0tqctPHIwh2ZBE05RavpCHFBhyV+ccNyng9Jw0yvVDMr6GOntptmi/5+aLDOAeec5CAmJeAEPYVcZ35HizCn6H/Ns8Z/I7SR7PKp+l1ZScdMVsmN+VFIx95fwYeh2sFka6QtkWpSM0BbE2jw27KdGQMf1NsQJOudIYB6TLxHve6pXzkmwdJaMSychNEnj9Tyxt26i0PQ8YepkCOs3GfsNFnSn1wzhHNd8m8I6hVFoaJdujGwxPIFKBpmzIYz1kEg5I2xXubgW9LQxtpDGbeSsVx+zkyGYl64Qnc+9wkhye0vPNKQYzS4QkXjU6fWumjWfWzP3pV2Ulcs55zlmwtCdlgSGTNfnhlAotorPnMjQ7h8zHgMDSFQp3fE5GzBEXQQ2JeKMoGJd6LbSYbWfoVgnOOoKurjmjD+63cc+e6/AQaLF67HAzwXvDcA3Y1POFIWCI/L8+hL4/PxK1S9SE0pWz+6/ZAWmleKkpqdnJjXmAInMTTJL16ZVp5zlri0SBkxGvZqvWLDnX2N2tU6N05bE7G8JzyvJnGdL/TFjxuw86igBdY1DdvAUUq+DAlQyyGOZqXMAykOdzroMgmity4VlBrPxtAWPCrBZEeBzK2SKXDkzrkVkvL2DyQUNa8tSAbdeKQefizLl43MgKQw5qmBfESEm1P3DR/Z7zXESN6IGPLvWG8hvuC23b6phKdtsBJeF0TqlLXBrx5vE9vfjVFMfweNuVeS3vdNKbb6+AZTgVGybwjWS2RUWx2jRt51fBkVDa6DbuKInNmnVEyj8FiaMYRWSX9QTX7LVW/YTmI8EUeyw3IS3KwAfmr4oKk0hq3gfms+f5pl1J1A5NsZh4EH6aU9z4Y/6tWgYjlK9oyhX30+7gKzeg1/OvQp8ZOOVIYkYUemkJRItpprdU3Xsurvnnki3gAACAASURBVK/2qJWfDqp1PzopBYPXtlTs8TTyPDbmpXj1nMGLj9KGpRNwGuXjvfj3GZpUsgDJgOecJrL0QlbEiWVZ//Mracp+wpOYeiXaMbUxrgHJWtdmqY/+EBWuPs1/VYfdIrllQ17kHqQjxXtQkHz0h6iY7MwLRVkr04tT0YWi2DyPjU55tw64eycFaccwvCNSyOvvKjzpyEswmMLLhvhSypeY/h0ZdclkwVkU3Jx0l/WjoC8/YQvVy3MWKMaSBe0B0cZGptEH5zSppRM0KgZflSzgO1qxLiteCPqDSubxEoqMYjLodSwxwDIoL5hycZzhCUdt+bwHvofDSJSv3WuJ5Mqfdc3UbT9vF6RjZBQvStJUzPPYeJSfsOV6KJl31Pf/UAqPjm2psV9th8n+CHTmlB1w2hwZQUPseTMtAVZMCWdjqJSSqd2q1RlV8/3TIi8rmUeD1Lgdk7n6VshIImM62G0/tojG1YKEJ5p3MxJCxryPtXUoaELT+nPpqSITvCnvMS8Aac0MoGdPAyC63UujkdyDIoJyRGbeBOd0wdhtS5Adw8M2fd6LDIcZnWmiJ7WJDnzGga92o0DIoqAo63dR2f4c7qlvHl4LDW9kTE/zb+TV3X+pU/VPRlXLD4ckdJTZCAx6qzkAyQQlWzRV+/O2GKp9mv7Fgj80rcMhe1BQ859NbkKztfazARWacSV5lMbRJ9CwU4eR6gEMtyheBwMS3mcNO9GANuwCKenjfw1JcxUbcASiwA2Xca3wHHbbuIGE6MioTkLXk9yGXXjmlvWj6KvZD+xt5P0ZtWpVRjZUviKu07o2d+MmGGBNNDSuFKSg53fEAL5Epy3fI6/dyCim0ExIrz7oNizeB4tCfSKam1JY+mfC780Ci7qI76VpW0HV7sW2ipuhZ08DYsCnhG7lp4PA/RbQYNbtAbWIuRjctiqlMEQ4YYsEqHF78TlKX2QMz4eq743Le4AGajZwDCUtHXdcAuMk6IiUaX4rMSNbV3rziJEvPY17OZABArp5a0Ekkhy+0b8XHXIEtGFewkbt/D+tAiK6V5PnFvBzokP4O5u34F4v/3BSNk2UvfrzaKpJaaSUke8eHslNeZEL0+hdetqFh1Aqyu1AciMgKiReUf7IQZ/vwaKqOoJhl69oq4Gvdit/Dps18wLumcDb8wIcqN2LBo2m9UBGD+vaXdobcey8prkZ5nOcHsmVa7KyrV96Prh1DaRxrkPvzgmKv2FnUZU+mlXRITfXJt6joQx7lilYL/JYbkBekoMNSKg/I+ttThd5Q6/9bECZ5/HQYDBeWb8jya7VB21JEKVePDqkGwwdUsWpSOVHEwhJmnckfMu8AA3xUhO3r2CLBjM2iKlk15f7hdmd3IhpZiCNhxVlNJQ3+XMoiMhhjw1gCkv6UV2bJTrcqiN4uPb8sk1VH3Q11EyO5rF6ZVr97I9eCc8qPwFWPaUakVFHXfqnFZhuWbZgUf1ZW234SR9wofOOIBCp1/a8CTlFohMNnnlJ+0vOW6LP5nQ7MobkaPMydNZrG+YlS6FxR1H8MeYbGSmSjNdzKjaALVB0yBHEJl+qa5oXkdOgXxTPngYk5Xvlp4MqPOGom//cqIwb8OYQ62u+gWKm+OtviXHYcwYbsuAstl3NW/Cy8pyx1ODf75LtQUUXZAHE8JoXMe1LtNsiwfAVda6AJutQC870XErK6vagiaDWn34jnvvmLQU00Tc18elWTnTd8T5Hff5HnwrOOir36/XANGoCkXEVBZ95Gd6NqsP4XNWHbDGsRofwsmcGB3NVWGDV7rVEtlhxHC9+pZSKPZ5GkapTm5l0zRwEUqm8tiU/l/djol3LpG7lRLtMeZOvYItGnvp4Yjxrvn9afEMMBKs5YKmpr78tBJ3ICK6xYAqFUPmHkyo2qBvPbjfQjNsU/t2hKRQMNfsxAOAUs+K7E0Kt8b+1oBp2FiUAk811dMiV9hmv51T1wT/dgIQncE0H56Ch9xVsydkIPkxJmr3nDO5rfxabET576GUKLNqCCl+xLisZBca1guCN6c1hI+G9j1DQ6oNadno3g7DWVwvKn0WRnOjE9UG5XvUhfBehadxTfKaQjmVcQ2FtvJaXyTRzVthMRocxdV65FjI14yboZ6EZRzZoTdsKslUzbiKok8VizQFLZFnGFQwJvJYtjX7lUd3gvD8j0AWflroxMNC8m1FeB40om1dfAVuB5KY8ZFmvQiKz9rMBgRqQ2sTfYVzBViD36/VAtGvJoNeyxZMUmsakumlbQXKUAhm3WWN4pSSh6+waGuVDM99Ab/e6/jgW6UopFRnBliI0hesg0YnvlHQwyYjQuRaU4ERG3Y3Ihp/0qeqDKPojo45M3M27GWxiNZbXn7MFgNLywyHZ8BIeYd7Jiqm9YZe+3myoD0pPO5KJ0bIBw7bIiNvYlfU74ptperUgCeCl466cq6zfkdwcZkNRSkfPYCBtC2iEXj6llPhTgg9T2Fpq2XRZvx4kTrtkqPJuPDt8BVuGKOadrDJu5STPiIMozzk3p4f4YeN2VkVGHbXhJ30q8DY8Mt4HiyJ5Mi8VRXLd9PEIZN9aLhnIuBK/8m7UBgztTbS7m2/v/bRsWEtPuxtB8zK8hObdDLZdWuZaelorDq4UZDPD+8/ILeeAvMhjuQF5SQ42IEYWPoaKLi2ryOChsj42qTznLNX08Yiq/cEYjLYfTYgBuPIYbvya/drz8cmwYAFD0zqvIO+mndbshw+jvtVSLT8cUj2/bBPiCifb1O3TyBk75YYi8qFBLGRFl5tZEsjYYrblyta4lVOrV6YxMR+F56JkwRaMYPmHk0JKat5aUK1fdKjgLB78DJDjERl1hISx64tO1f53B1TTxyPKn7clRI0/27yTBU3jHArQujZtINRTP/NCUXTHwVlHUuT9WVume6Xj2pCq/+7Ko7YgkEmKYapx/W5dwGspV+T9GSm+fNqvQ7xmeEJntTyale0NvS1eB99X+YeT4mloeDIqWyOCB5iDULvXkhR2pRBeReJXotOW7A1q90MzjsilavYDQEAUbPkJW5DJvjy+y0QnNnF1bZZQvoIpjaC9hiIjPOkI/pTJ9KWnHfEN0ST57Z92K69jycvWa9liACUz36/pPswdaNpWwL+n1/peGxIKTlB9Ba3f19kHq1ZnlD/nImfZ5HotFEX1rXjBE6ub6HR17uXd+O+I0nz2NIDwtZN4eXvOWqKdNu9CHrfy00FVOu56MvzfmcfP7EJD+qM/It+EpvCyflfmQyMoJVySiXBJv5A1a9+fsyXczLxUFGkiyT/xHjSkyc15SfpueQUkMhbOtXstCZpjA2xedqk9wZQjeS6hqT/1gCQ6cb+b52F4D866029mv9TvBiZ17FfbZYtaMo/mKTaonxmX9EBCJ0oTihF4e17gCcaVgkjdQjPYihq3csp4LQ+NvuN6JRIdttryeY8yruN/S3S492ftXsizuAEKZHC9MJgx3uPiV+M97lbq2dOAyGJig3rgoOU4yY15VXUYn8O4VhCUtFJKBR+mJOsnNuhuVr0O7tV4jyPPCEqPyvpR9JeOa7Nwr5tZE0xhexfVEj4GUjbswuamogsTaeNqQRqJeK8jyG7fg0XIzR6mpBhmuChzb4IpdxtT0eVOw2v2W+L7KT+hwxd1IUjktO/BogrOulLasn5sqVp+OCRerKZXC2L0p1Strs2SQNm1nw2A8LYd027CFVjM1+5FllTZSfwObhA4wDEvF2UQ4CvY4ufiwKL6kM6UmsZ0vWkbNuHNW0Gu8txDI2e+ARpcxXFb/F4kNRHY4DkHMEW8F/duzX4MqOif8Jy1VMOTUZnoVx2BB4yyo/ITeJb7HiwKZjjR6Zrk2fzyiA65z1lCHEIz+Lu4sSH6OLBoi0yWHkvmeZh3M8q8UBTKFBvE8HuzIuOM9ziC5o0NYDDy7GkAXpt2DN/8eTwL/TnXC+O1Lcm6IpKdw56KLluuIfMing2kOZaedmuM2n2WBIOWn0DDwSwh43UM3NY0Lojhvb7VUr6p5Q3IizyWG5CX5FgqwYqM4oFa+mhW5BPVBzGlNO9k1abPe0HG0vhdSkL835mHsVJreSPvz6j4B1OCZfTamFBXfjSBpuIUGhXPvbSsyBu3o8DZ8nkPJEu6+KSJvOykOyUqWdCmupwtyEXKucq7bXnY+bN4obFQqW/FRJBYSdJkar5/WvV9tQfkEy31qj4IadNSTWzFcS1H09OaeC8akdAUthktPxzCirxXJ+hqqdnqljRIHslF0csb1/OyRTBeQ9NESZV5sahWJ4GATG7Kq9UtaUF0zny9VRk3c5JgzNwIz720av2iQ60vGRHTIWk9njNu49C8taD6vtojJjvjBjT+5qWimvl6q/K8mRZCTj3T6b8zr6oP4juKfzAlmRDxXhSkSzG8US2PqzyGlzF1y/WtoMKE35uFblzTe372Ry+oTUWXDvR//w9DmqrYAM5B9SG8hN7+XSU4/dqUzzwLSo0O/uKIWxi8lpfpF5tYFvucLBo3QL8KzuIlVb8btDfzUlFM9qRTVRzHd/fBH2IIIdNSL3L8mdTMDZk/qyecGr0aGXERs+EJlyhEeWLlMX2OdRBbcM4RZK7nnJt1wuvLn7Nl0keQA7MZgrOO5HWsaVwQgyUJQMbVgiQs1+zHvUvUbMk7mHgmOm0xnxvXCmpdbQqFdrc7QWQzxOawvNvFHi/FXTNNnBp7TkLLP5yUYLngLJplYmWXHlVHdCq5luHFe9wMl6oj+N3VB3XD/WARDRIL2G5bCjoSr2jC5zS+YSeeGVWH0QDyuw7O6cZGm/p5Hj1nULQwrJOyF+ZnhGYcta56Voo7Sj+8jqX8by2o8Huz4l9gTpJxHc+l5i0FoVJVdLlbKeMavBBeXXgnOvDdJdpxTRmvIZwvPIFNsHkRshF/3pZ8HKZje96El2JdzZx4k0rH8ezmRop+pugQptFe2wKxSiNio4+nRXbFjeHKTwelkEtuzCuvBalN9SFbQuXCEygm6anj0Kn00aw0vDScE9nOAjEygvNVddgWwp/nXlowsf4silRuIqsOo8GrOgwJn1IKBWoX/j5fwRa5LGmEnjeBa6UR37ybkcabJnkieAlSKDvpCO0u8Pa8bMQjI2g8o8MuZrleS7FIE6MJndTJhp1FIcVx4s4wwJoDaIiYi5ToxLVMD0jslCP0SPM8rlHzvCUy5tq92Lys/uyUeC6qDmNoVXPAek5yHEjbMmgpHXdku1Z9EPd46WlHQh2N13Mq0WnLFiiwiMacafLmxaJIxtY0LijzIr4b0jAjo46L6tbbDPMCzkPDk1HJq2reguFAZMQFHzTswjs+OoT/jrkxwTk8L+p3o1Ygga7mAIZpxrWCirw/Iz+bw7mmVwviN0p0YmtY0YVrzjyPraU3tdyAvMhjuQF5SQ5pQOwFVfW9cbXvb46qspMoDktPo/jjBGTT570SDhd6dw7F+LUCeOGdtrC4G3cUJehoqcmMAVJ8kFYfxDrbV3QzBNb96KRM4Mw3ENhHKRcN2L6iLdM9hnTR9MrChE0KHzjBOUd+D021tftgTAymUFAkN+eVcRXoW2rst/31cTlXJfOOqv3BGApGjcY0LxZFBpBox0Oq9NGsBDORfBTv0+xznRHR/eU+PIDzKCLqn4xi0jOE4iE0jQew78GiNH3GjbyswkMzjvgOosNAqfqzOE+lj2ahhdcaaf6z/rcW1Iaf9MlkqGFn0ZXMvAb9bu1ebIIadMZI1ffGxZxt3EDeBSlmkVGcy8CiLeFxNMsS2cg02ZJ3UhKsmGjHJKzspGsUjIy5hbtxKyeUGk7ROXlkg9j08YgqHYc0TEIFu23BH5eOo3Gt22MJgcl8IyOeEQZO1e4DTIGSpeiwmyVDwzRfxOblopgi/9d//oX8Xkqxnj0NQOZyPy1yr3gfmiHmm7C45kaIkoiaA5Y0KSyQKE+s312UZoAZEt4Hi2rl2qzADCq6QO6qOoLpa81+S7j+/L4T7bZkx5Ccw6lt7V5LfE3+vC16Z07pY4Mu/cxz1hKZFgtFggOYv0EfCzckREvHBt2ihcZhZmIw1duf/1MJVt0eFOv0YTCtODzhSOHEAic26Or+m7cWRC5JMyo/e30rmrryE2gA6E+oPGbL1i4ygiabPirKOSPvz4jEIzjriO+JqdwMUQumIHEkUS007ah1lbPiIzJeh+SoeUtBGsBEu86N0cVr+QlXUsSmvL7VEmpfxXHdgFwFpY3ErGdPA6p0HH6g+lbgwblBi4xqMMApLSm8BB8KrxlKaKqOaLLYD8YkPDB2yhG8LKVHvA64Qfec1RCEuxkhR8UGICnznEFhXXUEkl42ZoFFW8415Uulp3Ft0sROc3nslEsfZD5V1RFbhlUMlVuxPifDJwYR1u2BBCi5OS8NKQdmLLgFfaxzkcwLwNqW9WMjRskd7y9utTk5X7U6o1a3YPPOZt3+zVppmIho9+n78u6/1KnQu3MI2NTAl8qjOiDwBoZxoWmQpOraLLU6CbQsMfM1+3FvBec0Vlu/Y315WyAA8V5HskkIcKg8pt+V5y3xI/KgXLB2nyXfQWBRY9yzCMatOgwJIuVpkVF8l3Vt+GcIWKDigGnw1Qf1u04b2huejCrzMuSZxtWCatilYSn9LqSBDV1sENccByHcmPCeK+t3NzVeC88sbmfDE5CuMr2daOf63S6VrvogzjVR1Pwd/JsbdxSVZ7kBeaHHcgPykhzSgFydlVwLXwE3XuMOGEkZ+OfPo9BkwRnWYWBco1cexcSXKNjQDAp2FoAMNAtP4GeY5/HQNM+75BwmcjM9u2Qek6V4nyMvrfITeHBS306OeeUxPFTDk25oUqLTFoPt6s9OyfQzPIm/LTypiSPnLUlmJqKPkxUe9A348pDdMD2boXvhCRRh1Yd0YnsrzMLU8XvOocirPIoH3P/1P/5SxT+YEgwnee70vkRGHTErrliXVTUHQGLhpM+fs8U0yeK268v94gPhQ5gmzkS7frFqJOuGn/RJlkN0GC+GyBh+Dlfo5nlLHtT+PF7klCJk/nGDWrkGxCXq0Mu7bZH5MNcgMqZT299MC7qShvTkJ8Oq+pB7PRk3EVrmtS0pVLf99XEQlNK2kFDYbEQfT4uZ2etYEijGxFpOtoMpfK7YgKN6ftkm+RZEgzJfZWlYXuk4fCGUQBV//S0Vfm9W+XOQjFQe1R6QrYXnzndkDE0k0Zh1e2A2p19DKRCLgnOOangyKoZuBmRVH7LFVxUdxn1Isk3N90+LAZ7DAH/exiZJU8dKx92GLjKGxjPRiWKX14H/O/Nivq9rs1T4PTStBE5UdKFJXFuXkkap7KQOfnuYwjZmEs1VaEpfq+NuZkFg0S0+zPOW0PSW0pWiwxqrqiUi4Qk3ufibR+mjWclCSHTgnJJsFFh09fk8f+UncJ8zxI541UDalkR7yhZXrskKajcy5shklzkCHAz4ivr6n9UetW0FmVzTZ5XcmBcULIvr2r2AAPCfZXhrzX6c96ojbop0+QlbUqDNC0XZrLFoL+/G84aZM5S7KqUQAkvjrf6/pJJxqktyFTfEpY9mgXc+i/PJJPTgnKac3cy5DbsmIoWmIbVh0U3wSM1+SyU35tW3f9qtnj0N4P3x7pxa07yISfauoiBxq47oAvRGXpl3M6pxOySHdW343Xwv+HOa5qQ3aSvXZNHwD6PorG9F0xhY1Onwx3FumrcUVPNWyFsJHjBeAyq8dh/AGfzdvgLeByTNMV+Kngzi6H15XMvBFL6H+lZLJvXMEvHcS+N7SWH4w/foyrVZSKb0VtpXcDNdyj+cFJ/QutqUWrEOGSh/+28GsOFnLDQnF4vy3XIL7ivaQu2iTMyfwz3Y9PGIqtuDDa3njCXfK5/L0WGY5ksWbAGcUKamlBIvUnm3+ywqmdcGfb11rDhuq//nv7xy/ojm9RVdiiDPQ+mjWbwDL6EBoWy1ZQMGbsTUcwvMbSmzRJYOh4JzjhD7fHl3u5HclJftccsPh8RvxWZzxTp4CqsOo7Hke40bT/7MspNoAilxJCmz8hiuL9/EMob3RR7LDchLcrABKe1GYnB9Kwq50DSKUPLIg7OYVhhXsTIPvTuH6UTK1eA+exoAIz5jq/WRcSGjkFRV0QXpUfBhSsKMWKDFTmls6vfGZS1cuw+muOatyNTgFMNr6fTTe+nnwhDN85ZgTYmMJN2jbg8+l9eyRQ9afgK6cq+Ff46GuPCEzjvoQ8HCo2RBIxs/GYYOWBdt5mW8WGkcpAG36jCmh8GHKTE9Nr1agGTswSKY7DqZvPyELdN1/h2BjK12/KwLgVM6HZcPbL58vBYkQealooqMYGNDVKrnnCWpwUTLJjphaCwdd+SFws9Jo6p5Jwud9rtzEtgUnHUEQlB9yJYcBc+baWhj38gopRSkXW/PIxNF05MYHBfvwT8Xfm8W6/MiXujmJZi2r/y2RXIpkptBC1vTvAh9cAabAvoYKEOi6Tg8ieKYabzRYei7afxlM2dcg0m4vBvXzcq1WUEPG1cLorf2593GMjinca3TOtV8Hs1LchNkdJRhmJeKqmEXtnjmeRSqJFlxChkdQrEYSNuSFE19u+fNNIySi0jjZXhXywaYfaW5uYrv6dI/rcD3+UpOwAPRYY3Fvo2AzPJuW/DLlKNRihN8mBJzpXmhKJNxr2OJ/FEmzoPYBHDCb9zOSpMaHXITm40beWXczspmLjyBYrX00aygdGOnIDcKT+Cfj/c4QmTi9uSbR2zAEfNobMCRAsRrWxKayUIr3uvI9Lz0NBprblXjPfBTNewsSqp06Ti2NeXdbiBZZMwRs3Oiw5atCvNowu/NCq2u7KQO5ut1SWUVx20Z1HBjEO9Fs1d5zBbkL/0MFcfxvFi1KqOMG3kU8FqWSrQyi59AGsVTYNENGVRKIW/lDApWel9Y9NKk7CvieUsUcHk3rvGKLreA43ZqxfqcatmQF2xq4/aiIHArurTefhTvDGLbQ1OOSEpL5jGxJ448PInhkudeGnCJIZzb2n2WeNXCkzh/jdu1JE4jh/15NBiREfxdxq0cmu1Hs8r/1gLQt2ctQeMyC4VUNMpklVLyXOLgrOK7E2LQLzuJ52HtPpivCQrxFTDISnSigeX1Ub+7KJ9v7WcDgG5M4zpgQ1N1BPAJEufoIYkO4XqluZp5SOUnbMlkSXRgENCwE0MIygZJCCTieuXarFAW2UBXdOF537CzKITA+la9abpYlPd5bNCRYN2lHpDSR7OQ4A3jO46MOdIMRsYcwfAG0rYgjBOdeKaXLLhAEJIPI2OONP4MvW3aVlBrGhcExR0ddiRzx2tbYrr3FfHzuJHkto6DDtLiosP47+kJ4VAvuTEP+taSjS+byngv3je8rpf6TiOjuIYFXzyB67RkaLkBeZHHcgPykhxsQCr2wo9x8BdHVF2bS7JJdKDAISqTRQWNx6EpFD7xXj2hzmOCSr16ot2WhqZkHkXcP/77XyCwSSehs9EhXSs07UgCLhNzm17F1N48j0KD+nbqXZu2FWQK4rUt9ff//pfqoz9ElS+vQ8N6HNma1O61hOQTHcLfweIlOOcI+jEy4jwXRBgb1Bre3UUxMzfuKKrrv22Whq1uj6VK3kkhH+AWsJLVh2wJPSTCk+Fr9A/87/8yRR9d1u9KMZhUS3kAN0uVx+znNKsktbRsyAuJJzKqZVsPU6r7y32qrk1PC9+eFz1zol3L3y4h+O/3//FnynMvLVubdT86qZo+HhFNODX4DHDzPViULA2lFDC4R7QOV1OP3v5dJQzeGtfJCZbXgaGYgWD83JzcEzt5+BeHpSGM9zjyPXjugWry7GkAAVI70MgkN0NLb14oyu8PzbjY00S7lv5prfGK9TnlK6AQYoHO1HjzYhFymylHpnolCzrTRmMqa/dasl3yFSAjWbU6I1O2qa+/DexwDqZQpSDBkgZVb3+YNZDciJ9rXC2INMRzBr+HqfNSUOvAr8CiLRKMRCcKDerkiQAmkji5KY/sjBF3okhYhHEVBeaOn3XJ1tGfw/++Yl1WJHIVXXoyrxtQDhvq2izR6jfugIzCvIzipnkrGifPvTSw1Tq1vu3n7SDhaHnl/x+G99N/DSLdvd2WrUt4wg0Ga96C6zEyorXjF4sSmkb/ya1/rpek+8qj+G6Ya0RMNqVCFV04T1VHbAEmrG2Yl80PmxF6tkixqmsDPanyqC2IWUqzPGchBaHmvXFHUfCqTFmnNFG2Q7NaunYK/5fG+Prd+IzeB4tCDTPPoxHwWtrTdBlFvHkJpCNmPTCwkT9ftg1ZNCf1ra7MjrS1yJh+Xr+ZFl8SJZ6Uv276vFckLivWZUW2QklmaBrFJQ3HvoItz5WmbQW1ci2CROX9cyMvng4G7BFEQrw5kd1stJg0ToRx4w5IeljgKqWwnToH7yJJh0yHL1kAZIVQiuCcI74U+rmatqGZMy8XRZZJBDQlW5QUc7hk3MrJZl+e4UdtOa/cGhCgQqoht1XGtYJsvxnMR8mb19I47EVb5GHVh/R9Mo2GsGEX/k7e32zgQ1P6+Zd3DeA8GFpJnwllxcE5F91edtKFDtS1WSr+wZTgmmv3QYqV3JSXjQ8zYOpbce9zAFC7D9JtqixoDC/rx73BJjSQtmV74svbIgMllp31A6+XyqPugIcNUEUX7glK8dY0L6rmLQXVsLMo6PVEB74bSrSN21lJbS9ZsFWka7kBeZHHcgPykhxsQIKDGSk2VqzLIsguY0v+Q/i9WQRS6aKL+NvyDydhaH09hwfRloLoolkIEWsqRtlBFE3h92ZV5TH4IUpP4+VIylbVETyMjdtZNfP1VpkKxfsckSOUjjuCZo0NOpKcTbMxjX7xXkdSjhu3F4UiU31QmzO7bJFeNewqyoqaGngezAup2W9JwrF5qShZFZERZEYQd0sUJeVZVYddU3397qJq/aIDKdNzOvH2CjTcpE2FJxwJIvsKXQAAIABJREFUSDJuZ+VnGa/l5Wf4cy61zLiRl3C/8hN4MYl/RBtHY4N4UHvO4sXAor76IDJRSh/NSkhhaMptNFn8GVcKovPnhKtkwRapGvXXnHJywsvpd2TMTeelLrjymH5xtrthkMwo8Vq2ULX4PXMixqAqplKTKsb0+dLTbkhlxXFbwvjK+t1AteAsXsB1bZZ4a+gv4ATM/9aCkNJipyCbqt8NlHJk9PmALONmTq1uwSQ/OIfior5VBzEO4EWplG7UDtvSIAcyequkaVjGDXgdmj4egR9Bk3OePQ1INkPlUR0gWLBlyu7L4xwzbZqUKIIF6Cnhdoy6dfMCJDDdX+4Tf0fJPP7DjQrxng27ipJMbJ7HPdewsygSufJuTC/9WVsQ1cb1vGrYiW3SivU5yRQpWUAYmteBD8q4ian2N4/kJoAOeF59ulmqOYCG1riVkwateQtocpf+aYUqPe2o7i/3iQG/8qhbmFUfcv0q1IfTI0FZVFm/Iynt9JSt/HQQHodpV3JJpDKfP2y4GncUZetK8hRR5UyjNm4grLF03CX5BR+mVMOTUZEzUr7ktfA30X/FzbFSyLdgfkloGtf+ivUoSEmdatgJCAfN9uH3ZiHryoEqReIU9fBNryLgLTLiCOq45oA7nWcaeWjGEaM7N8Gkshk38oI7rzyGv4VhsXzO1bdik/X5H33YKunteuOOojyHWYyWn4AUq3FHUQJpea1yIm9cLciEvPoQ7l02IKXjjmCzAxk0ivQDMdsjNOUW2Wwuufnle+jWP9er+iejMmwzrudV28/bJQMj3ueiswUkcBXSUx/9Kzfyyutg8127TzeYU5r8pTd5sUHtjyvi3EXGMOxq2eCGJy78wyYxuVccRzNBKWfdHnyXsVNoILn54fPXq7/3mgOWyNSUUqr8w0kJIeaGlMOSeJ82r99AAHByM949sQFHQi8pg60+iM+Q3IwsscpjbjYTB01l/Vp6/HgaW6BuDBXYJPjyuAdIViRcgRvmmgMYMnLTTSoeSX2JDlt8L9yC+nM4T9zg8P3Mcx5Iw/uU6MBzbuXarDRryxuQF3ssNyAvybFUgrW2YV7lfr1etP/xPjehuPogdOPBhyn1838zVWgaWFOuREmHiQ3gxRIdctS62pSKPZ6WROD6VsimmrcWRO9dsoDJmedNBJY1veoGMjFoiHpaFtY00UWHsbaODeKF2fPLNrXvb44KWrV5S0GtWgWJFelZsQFMBiXUT2dZBDIohBIdLsec61kegbfn1bOnAeQKvD8j2F2v5aYBGzfyIiPznLEkuLBxe1HoMtSZRh9PK8+9tPIVtPH68TSws9o82LStgIwPPbGJjDw/9a7bgykeiVQsmM07WZn8MsCwZj90z/yeWICEpvByq9mPwolTxvAEth+eN9NSeLBxaNxelMRhFmXcgNTst6S49eXdIqf6kC0ynPB7s5KREhl1lP2btcq8kwXwQLP9iT/lliw07QCnPIu/xVdwc0+4DWGmSDCFz8fC15+3pdjkS5q0oqWSiKrDtkANyOz3nAX+l4z5yCgS3dnwxvsc8Rw1b0GxxoTy2ClXuhCadmRjpJSCnvkE7itmc9S3wh/gz6Ix9tqWkIyIN61/MiqadqZlU54QG0BxEp5Ak1R51PVAVB5FwRFIozgsWdD32p0svEo3cyr1D5uVcTOnfA8WlflGBony/fD6mBeLKvp4GkXKlYJkiJSfwMCCL/LwpCPXM9O4Wdw37CoKGSs8gUa+6gikNbFBbJTM86BEffMwrrhGV/qiuOmSwNHbWXxvPa5x1J+1JVcoNONI/giDNsu7bfEthaYxva/Zbwn1iEOGt39XiSnriCPJzI3b3Twf+zdrpTlYqiU3riN1OdGOCXrNAWx8K49Bxx8bcHHNHCrQq1S7zxLNPD1aiQ5b5X69XoVmNIEwZ0tTG1hEgcUMEXqcEp24nnb8rEtIPsxQ8Fq2WtO4IDSveA+ofYlON9nen8N037wA6QwbuKojKEBXfjoopnF+9uatIHkx7JODj7J+TRAb1YF22tsQ79WDkXtpBNv1uCbw2IAGHLS7DXtyY17VfP80QuF0kVvXhvNVsuA+78OT+M7Ni9g2KYWEb0HkHgU0on53Ua38dFByYhp2FdXKNVkZ6LAQb3oVEmSin5kH5M9qyZ9GYsceT0veU+yUo1asy4KeZOG8cuhEjDxBHObFogzPvDa2BMaVgoAeKAerPGYLqa++1VJr61Li9+JzNzaI69Vr6S23xuZSDdC8tSADwrBGsy/NvQrOaiTxWwuSRcQGPbkJzU/1QVvS3yuO24JAb9iJd2zDLr3VSOE8MKeIQYCxU/jdK9Zl4TeaxO/wZ/EsJvo6NIPfX3PAkqEHPV802FPyRm9qoh3Dp8ioI9vy0nEX0mDcxpauaRve+2xo69rwLOM/37CrKAb45CaAYJaDCF/ssdyAvCQHG5C/vAIzpOdeGgWzXoeSetKyIS/+CPNyUdbdbBQiIzDsmuchrYgNYPXL6ZZ5EU3KB3+Iqcj7M6JDL3006xqlNbI3MgrCCadqfECGJ7RmX3sZBCnKoCCdmFp9yBYzG1PBQ+/OCY6U0zD/d+YlUKnp4xEYenO2pCN7bUvt+qJTzhXT3+ufjOKhOutKPlhkUYJQMq8JH1lNRdIbiNp9lqr63rjgjf1ZPKS9DpCk4tXQL1vjGmQ4NN0yVTg8iXNPzX/tPktoV1VHbGlWImNuWGHVERQPaxoXXPP/AJovonbFOzKI7+Ln/2aqlWuzqvKjCRhC30mpej2ZDU3rzUgnpllKKRi/d2HLtGJdVnToZSdxrkrH9cZqwJ3WUerDIiXe677IiccNZLQGux3fb2gKcg7SS6oP4qVFrj1BBZFRvEBiA3rCpZuF4MMUOPz6+/fcSyvzUhESOS0VqWuzxKNCEk3DrqKq+t44tPfEPmv8dDAFsEFsABIm8wKm1v4spHeksyiFkC+SlcKTKNSbXi3IpK/spCOJ114bTVByc17Quy0bQGwzruJ64HQ90aFzJXod9a2yKcnCiQ5pBPGAI+ciNK2D5u6nVeOOotBgyrsx6SX8ITTlyBSVRBvmgnDTxiKKkjpurRgcZ14oqjVNCwIxqNkPfT6T1VmYVB5FgfzNg5SziuN6K3sSxczAV7tV+YeTUmyXjiMM1LhWkM9ZetqR/AQOLrhFSLTjZ0o4pw7A4wSXhRCfhaFpfM8MKgtPgDpUsx8bRRZolK2EZhzxPwmJSCfYN27HlnFtHfDGvrztSlWybr5S5UcTsqmhvIdyHxr/lVKAY+iMjeBD5B3V7UGGU+yUuyGODjmSgJ3oxHPMuJ4HwnTGDWmtb7UkTyfR6fqhGApatwep9iwSE+24FlgIes7g/qlrswQlG5xzvTUtr+QA29DbH3qCyrtRXDOgMTyh0e6acGZcR1GZ6LTl+Vneje+VWRbJzSgUvQ8WIXN1LLW6Ja2UUhICSFmb56wlvjNifkNTeM9Fhx0V/2BKfA3cvJcs2HL9Jtrh3SFxik04Q+y8Fu47boJlo6KN/Q07i+JvMu9mpLlmblR5N56vlAw3bSuACqgHFZH3Z+R5VNHlInnZOCXaMdSqa9PP9ftpoWHFHk9LzgZ9dTwSHYCjcCgS73WlUcFZbKMqP5pQTa8W1Mo1WRmqeM5ayns/LQAQQk/q9ljyPDRu5oBX1mZ5mr09Z7Ep95yx5F71FYD2Xf/jfrkPmYcVyOAz7vubo6COzeGfT3TaQuUybuThBXk8jRwdTXbz3k9LA8S8Il77zJFZ07woG2xe5+XdtoodW25AXuSx3IC8JAcbkFh7WpJQ430o2CmzIc0m3oMchsgYthePfh+XJFLjdlbW3+Z5SzVvKcDsqc2SfHCTnFF+wpbpYPTxtEujupOVl/yzpwF5yXLKW3VEv8Q+mFL+txZkAh8dcg2/fOBEh1D4NG0ryAuu7KQj6EIapa//tlkoGcGU9pS8WkBTMuc+kBkeF1jEuRj4arekRHsdS0z4fICVnnblCkx59Vq6MB5BQUipUOwUHnCUWdDEylwKzxmQdpq3FFRyE6QexA5y2kWEJlNv6bMp68dDuPTRLPJT8vrl2eNmiVDz3fLDIdl8UedM6ozvwSIIXDlbMmJq96G5DCxqFOj1vBSHC/+wSfw/TN01L+A/1FwbN/JqdXJRec6iiUhuhF65eUtBJuhMSv/2T7uF+MJGifK+6BC+S6KOfQVbSC3mnSyaFp13EJpxr2vmafhzeFFShlW7F+eccozybp2wfh8Nev2TUWyeetwAq6N/e0gZr+Xld5bMI5iQsrPGHUWBGvB6ZBo3DctMFU50allMAQ0aqXBeC82M5yzkErw3whP4m4wbedW4Xacb63yQ4MOUGFhXrM8JmrniuC3FPxn/Fcdtd6NwraDO/9MqSMpGHbn/avdZEl5I0zqLyZWfDookh7hsesKqD+oMHZ34bV5Eo1V5DNc6z2PVkT/F8CY355H3oH1IlHPV7rWkUeOEtPyEq+f3nEUhk9yE4rJ5S0GtaVoQJChpTwydJFiA01PKvOK9jmTTGFcLUuAs3aDwXl21OgMwxyykHtz61O5DUFxoGkXy+vBpFf9gSgVnUbRSX29cx/MruQkZNeUfTkKy1YX7OphCo0S4h+cMGjYmmBuv58SXwkDCujY0uPFeFI4i+Uw5IjUzXsurddWzss1j00fgReVRbKuDc446/IvDSD3XfyuRw+FJN2OG1DNmhHDAFJyDb9B4PSfZF/WtlhC/lr53ONDidqXpVdyjSwNdOQDgYCI6jCFDcmMe/heNMqb/ymvZ4i0kupnbVOMGrpPYKS2ZnHXUqlUZkV957qUFWR6exPnxnIEEkb444xo2oU3bChKoyAbJfCOjavdaYrBOboLPpeWHQyJvavnhkMhEScAjPj65CdCGyqPw+9Xuw/krmdcgh3OWyEx5b8VOOfLzOJgiwY4eNEo0l0qwwhMuNS7RjvulZN5Rmz7vFVKkP+tKPLkZadxRFFLdinVZFX5vVtU/GVUNu4pq1aqMkBFXr0R+i+/Bosi/SAI0roJqSQQ7PaH0txBZzWFpZNRR3yqfEhqhP2cLFazp1YLItBKdAM7E+/D88uWxCaIqoK7NksyqFeuyQnarOoLnC5Hr3//as9yAvMBjuQF5SQ7ZgFyaQ6ZDBlMVz5vp58LEqBcv78aDpeqwvsFTjsiEvv3TbglCYoHLaW14Anpgam93/KxLVX40IcUMOe2//Le/whRujyV+AK+FCb1xrSC5HlyNmpeK+HcHXPMZi36aLiNj+H+vXgkNPM23VYfxUiPy1Hs/reI9eGnG+zSS97sTcq6qDruG/FWrMyo4i4cxJU/GtYLa9HmvWtswD4nF1YIKPkyp5Oa8BK4x6ZbhbQztY45HvBe+mrJ+R3CBpacd8RXQpEsaSsOuolBOSP7gS6ZxR1GVvJMSzGRdG6QBxtXCc+FSZSexjmaxwAkbfQSxAd0gXSuo8g8nYfTM27Laj4y4OnR/Vmuu91uCgPTnMMWva7NkmuoroNjgxDs6pE2bZ1AomechGQumIOVLbsyrkndSIoVKtGtjpm2p5CfDavhXO5Gaq02CLCjrdwMlbVwpqMqPJsSkHchgM1DW7067zItFmY4R+RicdZuC0LtzKpCxBTcZG0CBmejQDaM+90wq9hVtdeW3LUJ6Ym6DUkqtrUup5Ka8kNHYtEQfT0t+COVSwTmNxJ52w7Lqn4yq6oPaR6LlRV7LlmwMFp/0DzGM07wMiQ89Tv7vzIvnwKc11catnOQssMgS+MTrOSGPxU7hb0x0YOJc3o0XenIj/B7mGxnBmDKErnlLQSU/GVaRMUe1/90BVXXYNeJWdOFaXBr+KffeEVuoTwwF8xXxXRuv5UV7XvW9cZf0NeZICCDR0tWHbNHsN+4oyvMhMuImxTNckoOFpWjcyqMo8qoOu4Sr+lZLkOKBNDwR8Q+mZCv34HdVyDjQUg6me0fGHNmwxAYckWqyMSQO1Hs/re7+S51KtLvXF/HjNPQqpcQQntycF3N9ZBTfMQvj8g8nYVx2sG0i1dCfswXawEwUBi427MK2q2QBz3jjWkF9+6fdasV6mM2Z7RTvw6a8+qBOBD8EXHR4wgWQcMMWGcO5JMK2+pAt91HlUUy8o4+npZllg9K4HZuRujZLAAHJzXm1alVGvBKhGUeeqxw2lPW7uOLwBO5NmuzNy0UVeHtemXeyymtbMsjh9r3mgCXktZJ512Owcm1WpGPJTVrqyVDTyyjC472OGOQZcmheKsqWg9CN6kOgGdIbUrJgi1E/NIPrIjSjg1+XGNnZuNftcXHpVCTU7bHk+R0d1gMvrRbwOjjnyU+GXZ9NH973PIJzjkjQeM1TWhfv0w2NHthwoMZrMvgwpczzejh5BVlh3GAbt7EtMW7lkCFzypHUdQ45mFESnMN5jg7h/R0dwv/fPG/J+yv07pwKprDx5bmP9+L/RsYcgdhUHMfnoOG++qAtNDzPGUvybGKDOrxwSb1SdQTPtXgfmu9lD8iLPZYbkJfkYAPyf/6LT7VsABe96ghe7LxJGcwUWEQBw6ng0rV07PE0DG2WDSP2GUvWruH3ZpXnLOg4gYybKEquv+eMJYZKMva999NiIg/NOIJajbw/IzKtRLut/td//gUKoyv4XZz8EN8YnsCkMNGOwp2eDZKLKHuJDejE9vvwPPgeLGK9O74kB0Sb4xj25TkHeUTVYVv0xpRbEOXpz9oid0q02yJhqfjuBB6QIxp3exc5EQyfo0ExNKMN4TP4nf63FoAUtmwp1EmTMW5npfCs22OJBnjgq90oTi8XhRpCnHF4whEGe+VHE5ho25Za04iQqeCsI4jM6oModur24Lv0WrZMrRge57XxYnv2NKCqjkB3ziTwwKLtyrscS7Td5Sc0irjbdoPq2pcYSTMuh97rWDJJpjeIk/jKY2gekp8Mi+ab2EzKLJj1UrsPmnbq7JMb88prW5J+PPar7dimXChKQFdk1BGZUGzAke/Lcy+tjKto3s03MiqQdhsUNtLxHhcVrJSS7zA8uSQpWL/sAxkUH+t/3C/+moouW4zevgKuMVLXKrps8QPt+qITmRLbi2rF+pwUlpExFKIkxpQsoFkpfTSrGrfrl7D2tPhzthCUOEEnWpQbtIouW3DPkVFdWGojK3Gx3GiEZhwZKpSddNSuLzrFVMx8Df5M4zqIOd88gilIdp49DSjPvTTSoLO2+vhfQ6p03BFMsXleS+o0CIKftXFHUTKE2AwZt7OyzQymUOibl4qARryHXCQCH6oPaQmKfm6U9eP+KVmwJYwvPAn0M5tD5hqVzOtGqBuFWdVhW/wyXttSLRswNaYpuPoginEG/VH2UXnMliKJOGgWuUopVfW9ceCTJ9FUB1PP03+YWL76s1Pq5j83qtAUNlGUYVI2Gxl9XjZmXC1gOHAvjUDKgpuNsmpVRiiG4UlHpFm1ey0BaMQGcP9XHsW5DyyCxEdZYWjGkWvYa4OGFBvE+U20a1nOUVueV+XdtnjeKF8qWXCbcfMNNCOl45iKs0iv3acpWB22IKXZxATStrx7KCHzFbXX4o2MbPNIdGNwpueMJV6m0LQLEqhrs8Q3xfwV0tFe8Q+rii5bpEIMWUx0uiGUlUdRuDduLyrzTlbea0yrN+8AFGO85m5EIqNodpbKmTlo82dt8ahxO2NcK+B5tWirn/+bKUAXHrFB/Q7SkkHjCgICzct4H8VOOSKJNa4DuMKNNEll9EFVHtWf7Z2UbAz5nVZ+NCF+D4aWGq9DhcCtMFULvI8p0U10QoJGEAQ9OaQlcrgTWLRlwBIbcL075SfwrGzeityY6LAr817TtIAtz3fm1cpPB1Wi3VY3/7kRUsnlHJAXeiw3IC/JIRuQM/MSYhbvc0O6zEtFyTRIdOBhVtGFgrHmgCWoOhrm+JL152yR0bRsyKvkJ8NIMNXFTd9Xe1D8TrlNCClLsQFo8BkKVXEcf0f97qJkKUTG9Pr/3Tk8HF9D6rY/B7MzNbfUvHvOAgfK7ACvDboGvS0M62IqenDWUVNff1td/22znKv/9798oA49WJSivPTRrDKuFIAJvpkTEykLx+CcftBq7CnNvZxwE/P37GlA1e5FWrF5NyP4yciYI4WwZHLM4eWc3JyXPJXY42l50JafsCUVufQ0puX1T0axkbqGRq/2B2NCrAnN4HswrhaU98GiatpWUN77aZFH/PH/+DP10R+i+Fm7ixKA53uwiBwLTTpSCluidTVzeDFwGzCIwob4XabLeu7hd5Bcwk2EXxvwSxbcjRC3a31f7ZEgL774jNdzaNzuZNXqlrSLqdTkq8gYCjGaKCkfIE++5gBebpFRFIy+As4fp8/Rx9MoLvQ2ggjmRDuuy6gmtxAPXbMfzTnJV6XjWsd8uSjI1IouSGvq2iDrCKZwzRiv54QwF0zpJPIHixLWmPv1ehS8WRQuJDFRx01JYs1+/NzQjKMG/36X+G5CU7imgrP4LjkBNu9mVPNWFBlspKsPovijF4cABjbD4QlHtX7RAQrXoCMFZsNOIJ2Z47NqNYIhibxmkbWmaUGM8pxQM7/nmwfpXcnNeSlMqVtnbg6N2dFhR4orzxl87ujjaeW9n1Zl/Y7gTfm8qtmPZmbV6owMLRicGns8LUVdcnNelfVDnkQppXEDRviqIzoVW0/wme8T70Oxx81yeBL3TWRMo6xPatP6UVvgHAzPozE9MoZtDH0stfsgbSmZ1xPqrM63SONeDD5M4fn8/dOS/RE75f5MblV9DxZVclNehSfx3fJcVR2x5fMzTDPe48IqvLYr5yrvxjDHvFBULa8ANdu8pSDeiIouNE2Sl3EFiHN6u5q2FcQ3U30Igbd8n1CGE5pypNimf8K8jOKWMiKvY6n4B1PyXCg7iSKTjV28x5FNkXk3Ix4VylNrDuB9kOi0Re7auL0opnDzUtF9B7W6qOKGXbjWm7diK2TcziKnSg/c6tpwPZqXi25Gh958JzdBVlh20hHfEKf0xvW8NKSBjK16ftkGpPKdLHC+2ltCalbs8bRavTItjVP97qJa3ZKWjKB4j5vbQa9Fy4a8NHGBtC2hfzxC03jH8p1OFUSi3ZbhXOOOopC+PGchRfOcQ3NfcRx/G4dLDTux+SHCu+wk3terVmVUcA5bJF/RFmJmIGMLrYsQj9//x5/hGbML79l/+Y8/c+EQ+y2RuYamHKGf1e61BBVvXsAzhM+S8IQjpnimqVccx/dm3MpJo71iXVaob8a1gio9sdyAvMhjuQF5SQ42IP5xhDwRZ0gcqHkeD2Pjdlbt+5ujsg4nPrOiS0/Gd2M13vBkFHQVWwdiaWkTZUdM+OUDnpPC0LQutN/ICD1k0+e9yusAVxmaxiSCP5vr50S7G/hVdRgNTHQYRQwn1yUL+Bw+ve6NjDkS7sTEaL58jOt5CdVqeQUaZR4kDHnO4eWT3JgX03p0SCNLJ9y0dlJU6KuJDqEg3fJ5jwqkMflhoCKnm/EPpjB1eWsBml5NyGEY33PyAy3bCM7idzPpmSZuaoCNa3r9fMYSD495CUUni3N/Hi/Zii5b8lvCE47IfGoO4KXovZ9WKz8dVP7vzKuWHw6piuPwejx7GlBKKclO8H9nXgUWsQlho7KmEaGQDEMz72aUP2e7Eo95FHcMZqv8aEKZF6AbLj9hq3U/OimUE4a1mZfhP1n56aDITqhXpnSs8hgmbc1bC+5WRDeg8V400Cw82RT7s27IHeU6LA6rD6HQo8G94cmo8lq2OvubNSLbIsbV82ZaIAXmRcAGlFISmsXsA6+WXkTGHEEZk9DF6S3Rl8xfIFaSTXnVERS5xq2cGLaZ1h4ZwXSTskPzbgZ5Lw8WIcl4sKiMWzlptDxvpmVyvaZpQZl3EKQWG8D1/+xpQJLo6TXyZ9HM0nxbc8CSZpNesUS7LUFj4Ukt49DJ6bx/Vn926k+eUwzvY2p9wy4Ug43bi2Ikp2a89NEsmk/tdWraVpB713gtr8LvzSLE00HuiuccpCrVB9H4xgZcnCcn117HfX4wJM5XxHMp0YF7N/nJsCQzM9m98iiKN06Kk5vzkpcSSOPvq9sDw37FdydUMAXvQuN20M98eXzuymO4DyMj+N6Tm+Gr8byZVsYtZBWZF4vy/GBGBoML/Tk87678tuU5hClJQolOWwLqSk87QmEiPa3iuxOqbo8l+UH+rC2ZHSvXQj6a6ECjsmJdFkZnvWGhR4PY4dggfp73flpgJm//rlIlOmwxs1ces6WALVnAf8fQQM+baeU5YwksgfdI89aCBAcmOvH85XPTeD0n+TKJdlt8b6s/O+VuMvSzgcV1+QlbYCjix+p1sbQNu4oyDCIZsXTcbdqqD+LvoiR4TeMCGuSh54Mca/e5WVgMiA1NaaDIYTzLQlP4LgmuoLQu9nhaDPnrf9wv8qvG7UWhOxESsaZxQSU3oungQMI8b6k1zYvKV8B1Ur+7KPdc/W5sBriRLj2N3036IYMN61steIP05qNxR1Gtq5yVsD/6Gge+2o1GqAP/fl0b7r9dX3TiHriAZznJghzK0DdEnD69L4FFl1JFlHxo2hHPHYNY2STxmUY/a+yUlg/3OCLLDKa03M+G+mPDT/oQDXD0eTlc/PCyCf1FHssNyEtysAEJjGWEUOHL48FCmhQZ4PQNcIridTDpDc3AfEp84fCvdirzjYxo/oMPU9CZ9mrdt2aam3eAJjTfyKhABkY8rtxrDlhq5uutUtAzrbl5CwqEmv1a36ofzjRKs5ik1ti4UlDGDaSgMjk3mHJkIkszWmhGT/V1QWTczEmeAo9Epy3eiOgQ9P/k3ZOsZV4uiqSj/IQtyN+yfmw/WjaAmx7IQFNKaYQ/q4sZPWGJPZ5WTa+iGPcVMC2KDWqTqW6yyk5qicWII8btmgOWWvvZgFr72YDq/nKf+vrf/xu2EAOQsKz70UmY0XVR4M/iRWheKkrwYem4LpZtvCw5Cr3gAAAgAElEQVT5oE902Cr1D5uFqpJot8WkWLsXL/fQDP7O5q0FMXn683gBElHKPAYmaAcyKIjW/eikbGNip7Rn4W5GtbwCoz7N1cx+qDxqi4G3+qBr1DRey6vkZuB8zbsZNAuaVpbclBdvCA34lKSFpvC91+zHNe11IMljURTvRQE78NVuFKqnHCmimKDN9G0G1LFoDE9oiVg7ridOH40b2MC1vJJTlcfcELNgyhG5g9fCyzPw9ryKDbjbsuRmgAUkzV4DFSjxqTyGJnXlp4OQjZ3CNTP+37chsVsbttk0EEnNJGGGhHltbDJKFvBdU9JBetnSPAYOC5Kb8iJbqttjqfU/7hdaUfUh/FxCG5ilEx3WSepXC3/ynIr3OoLR5tCDEAW/JtbRg+M5h41GebctIXXVh9AI1O5F0UdJYfBhStLO6Wuj0b1uDxrQdTVzopF/9jSgrv+22U331ucr8Pa8PBs57S89jWaqZr8lgYzmnSyuPU2x43DBPI/nB6U2iU48B83zmCo37Cwik6cHzylK+IxrBdXwZFQppVTtPpCeuGlmUxV6d04GSvxumcVR32qJDKd+N+Qt63/cDzmclsRUHHc3qizuYoM6mFPT/UTvr7eoJIAxbJPNMf0P9FZUHUEx3fQqvqdEOxqlkgVbvCQNT0YxvT6Pc9i43fUsxHvR8HAg4Ctg+NGwsyhyuUSH3pTeziqllDJuY5ptvJZHWOyEBnnogQ6x8U2vFuQd4Cu6KGw2MPTz+N9akGY1OuQI6au+FcMW43ZWKGvmeRS23BAHZx2RQBIvH550xDgf73VkgxKcc9T6H/fDi9DrvgPt36wVqXIgjecsDfCULQbncG8FFm3BTHPo1LQN3kpeFzy4CSCkIzTthvaGJxxJXKdkNDzpelCIfm/cjk1FcnNePFE856EpNw+KOOLI+zPKr43hxlUdDqiveSoH1jQtPIfUDk/iHAUyrr+rrN8RNDu3hp6zlmy/qw+CxOXP6S35+zOQdmnIinED18a62hS+p4cpqB10Lla0Y3kD8iKP5QbkJTnYgGz9+IjgAoMPU+rZ04BMwiq6sEF49jSAQkHnVTCpnMSSdbUpYf0bV+BP8Fp4eK39bEAMoeZ5S234SZ8a/PtdMs0JzeDhHJ4AUq9uDx5eTM5lMmzFcbxQmDJMCQCJTD2/bINu9yKmHtRxG9dQEJN44s+5SeKcBpFyFR3C9IQaUR6kIlGWxik0i9TKY5jOsAlYuSYr1BIiQCu6dBJxBwIYA2k0fOEJR/DFLAQp9yk76YgZ07iRly0FUcmcTAXS7taFUo/2vzsA74KGAgQWbQkIIx7Ycy+NdFe9GTJuoVFjMWReLqqZr7fKS1DC+vREnNhEpZRL39F4w8btRZlINuzEhLZ2L6Zm/pzGJL6eE4kIJ9sf/CEGCcwgCkzKe4gvNS/pCXHRFhqVP2dLIcEgzNJxnW1yOyvbMBbe1I6XnsY10Li9KAUavys2f/E+IBmZ/0Fdv3EzJyQsZgiwQWVqdO1eGPCjQ9gCKgVaWOMOfI7gHKRlxlVIx2oOWPJyjn8wJduS4CwK3Jr9lphJAxmEFRJFXHMAm0cGN/qz2jvzYFEkWsxGMG7mxEjNJoYSLU6Aec0wY4Sp3JREGDdzKrkJcpEV6+BBevY0IAQdJiWT1hPTxDt+l5TCMBOlcXtRmtmlh/d+WiU3Y7sWfm9WffCHGLxe3xuXTBcOPHxFSHl82iQb78MzIN7rqM//6EPh9N0JIUL5c2g+ir/+lmREfCsxg+fHw5SQdRjqx0To2Ck06sHZJdNXjcsNv4dihWQkfx5/HyV+DNuLjAFoQVNxyyvYDPvfWpBpPlHGpKEF0sCjVnTp4L47KKxXrgVBMDrkSLr0mqYF8Vb59Jam+iAKcnl2p1CsMe2b8iF/1vWZRMbQJKxuSSvzYhF0t1F4Yth0x04hO6j6EJoZrwUTevPWguBV6eMjMpVbD3o2/G8tSFPHbcPX//7fJGTTuFJQyY15oeNFhxwJqIyMQRJIaSZDBFmQ+vKu/6r6kC0NpC+Pcx+ecMMT2YDS7xWcdWQzxiT5yIgj+FjzjQzS7NO2qAP4DCIane+g8KQjIZyVx3RT/71xGXwwsNdzDn8nCXpLPRykvzH0kk0EC+yyfh2oN+CIR7DyqC3PiPITtoASGMTLJpHHUslkXZsl9MbqQ26AX1jnhxBSwc1ooh3/DJ+jbO4IEQnN4J5gA0KPCJs35pXQMxSacVTbz9uVcRXDI/M8FAg05MtnzuK7Z1NZv7sosvKK4/g5DbuKrmRS/20tG/LPbUUSHfjMHNCwcUpuwuBo2YT+Yo/lBuQlOSQJ/VQGMpBBR4LX/Dlb0LUknHgdSFfI3GdqduOOolqdXIR0YdyRVOCWV3JC+CGyccNP+pBs/mRUmXeygn5d/+N+bBkWMBEf/+/bUCCfAcs+sGhLcVd9CAVfogPrdfMSTLD895mW3LDTnUJzQxM7BaoUtb3BhykJoAtPoBHhS5+6YaUUDJoj2HwQfcqfS+Sp17KFEkQKDRuGeI+bXmxegvyL00Ca25u2FURrXX0IBRkxpTTUlZ10dcsVXSjIuHGJjKD4oVQi+ckwMIbHbdHqN+wqioY8MqI3K2fw8mt4MqrMS0Ux+FHOYVzHRJt5FTRYG9fzKHjfQGFdsgBNL1+8S6UUkVG3OH32NCChT5z4c6Ke3IjrJN4LfXLTtoIgFcl5rzxqi9nVn7PV3/6bIdNxUpv835mHudhG8xyaQUFQdRjFY2AR33PtXjSM9a2WeHIocaMBmNu0ujZLqGMsPmKDKFyu/7ZZpuf832sOABJQ34rNQeN2SBwqj2ECG308rWr34UXntSEHIhiA9x310JEx/FyREww6ErrGIowyF69tCU6XqfYsGCJjbqozvRflH07is2qE7czXW9G09aI5SW7OiwSCJCma+z1nUIyUzGPz4TmD68L3YBHDig4UaIlO2w347NHXwqSbJVJxHIU5C8WlR9eX+1XzVoAm4n34e8OTuAaJ5CWlx7ykza83c9IAsignKS25ETIOZsLEexw3m0Xfi5RtcaKc3AxkKoltK9ZlJQQzOoznJfOAlmKKfUU0SKWPZkVeUzoOChA3SOXduLe8tg4X1N9B5TFsmqoP6nPYbosvrHkLtrtEhdfst4R85iva4j+hhOjpf/65YFmNawUh6nEAQNlrZMyRVPmWDUA9Ez9adhLfO4v74Jz77KMWPzzh4sdJpGKxLx6scXw/5qWiWlczhyn2kHvNex34RAJvz6uK47Zcj9zQ8jr2f2detua8P4MpNF/NWyDJYl7Tg99VKaUUvE1vpmXo1fbzdvEb0uhOOSv/mdp9lkgXGYDJz0SJr+eMJRufmv2WPL8o4/SctSQ8kllXlI9xg+rP4lrxFdAAcijIHCW+SwIZW551vCf8WQygCKxgSn1kTG80O/H+pNeH5DcO/r5VPqWatrnbx9UtaeV1MDwxrhWUrwBJLX0ttT8Yk3dd5TE0L4EMGkU2GtFhXIvJzaCEdX25XzJoGFhIZDc9Wb6Cizb2PViUAFKCFcpO4ncH0u57mk0rA3IjY3gXUy5nXAGKn4oL/tx4n/tcYF4VN4xN2woCZUi02zJsqj5oq+Cp5QbkRR7LDchLcrABiXZkBMPHSR6Dghp3FFXTxyPYDmjdunE9LxpostTNNzL4d/XE3biRV81bCsLtplachWR5N14EXseSCXzTxyNC1VqaiUFGOvMxfBoNuNR4m+jQL9erML+LkXTAkemyeaEoRXHz1oIKTaFgr/3BGNblV2GSNG5AwkNqkVJKthkbftInL4dARpNStKSp9YsOVfpoVrW8klPxD6YgxdDkEtJoyk46woKn1KmsHy9dX0F/httZFL03c8q8jE1DyTz8I1wRB9K2SDNig3gwrv9xv+ANZ77eKmQT43YWDeGGPKZLfdr02IUipOI4XsBE0ZLyEprBz+V5JG3q2dMAaCN9mEJTh84ws3if+320vJKTRObQu3OqeYuLglz56aBqeDKqPGfR2AivflRrhTUBxrwIz0p9qyVIYRZK1BqzIOFGLd6D4nbF+pxgFEUK1aHRtdoLEhvA56RcpuSdlJidV6zPqVWrgZTltI0NQXTYeY4y1Li9KLKgyCjuFXpR+N8rBcMwt4sl8zhH9bvRHJvnLfXo93FlXipKGrsvb6t1lbPSsESH9M98b1b97/8ygdbtd2SjwVA7Il9pRK05gHNF+hTDt4iBbtxRFGljwy5QjIzXNX3qHM4Vc3wqj8EnxTyaspM4BzQy17dagsj1OvjefHn8DgaplZ1EAUfyEuEE3zy6v9znSi20JJCIT+NmTjXsxFaTxUfJO9hccKNlXsbUlLKVqiMaXfr+jKrdawltjf6v2ACyhiJjjkyJV67JylTYV4C0xrxYlGBDYkj9WVuC4ThkIKQgOuRIZgGN3eZ5XPtN2wqqdh/u0USnThTfUpCNEyWLDTvh04gOY+tEAAQ9cRVdmNby+2OuBbe7vgeL8uzzv7Wg/HpQQ09W5VFbNplscBhyWTqOa5p5TF4Lv6u+FY1MyTsp10yvs2QiY643jc15aMo1LQdn0eBw0s1/j8V6vA8bq+Cc67/5VmJGAlcDGVtCciUTptcRSEPN908DpTuIRq3iuAtXMN9A8B+3vySyBRb11P+oGwxpXtQm6uNoakLTLmWJoY6lp10yVnjSEUlp0zY0iyXvpMSPWLvXkkn8yk8HpXj2FfD3EWDiz+M6CE9iEFDRha1notOWTBp/DvJLr4Xvsuwknm00pNe1WfI+jA45Qm8zXoMklUTGpUGEPE/MBjLPW8rzZlrCCMu7bWkUg3OaWDkN3xgBNARfUFqZ6LABcelz6YqCye2yBZltXioKhpybl0SHi772FfDfkfJWfdCW0Eb6sszzluCCSZZkreI5awnRkfK3pm0FZdzKiZSrYVdRQkr5ro336IHB/mUPyIs8lhuQl+RgAxIawErdvAD6Fdfq5l34M8ITKAwadhUF1bv2swFB/hnXUdh2f7lPlT6aVd77aQlAi53CdqPpVcguSh/N4iGgMx+4GeEEmAZGSa1O6WmTTvwOpG2RRdDMTX12yTsp0ehWH8IDmgYy40ZeMiJosDYvgi5VfQjFA4kgiXbIHFasz8m5Ku/GBMa8gFC8knn8zqZtBXlIVxyHl2HtZwMoPAfxu2jSY4q5IG61JCM0hWK6cUdRilpSsqJD+OeYDMwilyFwZSf1ROy4lvvo4K7IGF4IlUdt0VRz2pxot+UFVnbSpeAE53QA1vaiWrkWWunI+zNilqZ+uXkLskLC783iO9Yv96rDeBkGH6bk3HJSaNzOCqrSvAipDQlONGHSt0BfDBvPwCK2MKXj2F6tXINwwcgYXnBsOIIpd8IfHXZU6aNZmXzRSMzpbngCL5nSR7OY9O2BGZTXU/KTYbWmcUHSrFesz0ngGr0liQ5btf/dAclwWfnpoBSs/jxeXuUnUARUHoUERilsQJihQ2ITpV/1u4uYVN5Lq+Cso979fQWISHss9e2fdsOcOeyoD/4QE7QtJTpEJS9tkCjDaNhZlAC7RKd+KT+elonfs6cBQBO0BIzUL26F4n3aa7IIgk+8D0VJ1RFbkuI5LeQ2IZCx5TN6zuDvqt2HRnvF+pxasR6yBuM2pIPJjZBzffMgCSc86QBOcLEomNnGHUXZwtS1WYLuLJl3xHtBCVy8F0Vj4O152TjyGq1vReFIBC23J2sb5oW85s9h0lt90M2YoPynZAET6fpWS1V8d0JMxF7LlnuaEtJ4H5C9LRvyck2WzGt4QYdLxIoOodlu2ZCXJof3aNPHI5BJ9rsbkEQ7miiCFoxrBWXeyUJKNoj7LvOPG5TxWl4d/sVhVXEc0+nScW3yPYiGwriKZxrzMHxFWzxoHDxQ+srtknE9LxlB8V43uT0y6ghtzriJhjX07pwY3kvmHRkCGK/lVe7X61VwFu8MJp1HxtB8BNLYptATQC9ZxXFbzNz0fnjOWpIvYd6BT0QpFNbBh6nnfE80/xM5zHySkgVNVDpoyyZj+Fc7lXEzJ41+bMDFzrLAr+iCDLBujyV4cAZyGq8jP6WsH7I+GtOjw3q7eQ5DAkp1JfxzAQ1gyys5yVeiVyQ2gHO9PjKu6lstkRMRlmBcLcgAsL4V71jCZLjNo++Nh3ke72MiswmLaPp4BKGrVwrq8C8Oq9q9MKFzm87mnLJRYuk9Z92t2FKzfdUREAFDM4CQEKvNDXnpuCMwDw4uafBnI0STP31cFV2474h795zBZ6nbg20zN3ockiU35+Wajve6VD5fAejgYAr/W/NW0N/+6vrMcgPyAo/lBuQlOdiAeBbgA2BKdeBthPB47qVBGsnaMpGq311U64OjKjKCh0fbz9tV3R7IWIwbeQmh8pxFBkh5ty06a2o8zctFkV/U7LfUivU5TOvG8N9VfjQhuFHfg0UpVCuPus1R2UlHtiCcSpkXgIk9+IsjatXqjEw8S087YqSuPIYprE+jcRMdevKVxYOca92Seec5TWyi3RZayq4vOiVBmVhWBsh5zloyYQ3O4W/jP8d0X26BNn3eCy3vHArDplc1elKndkeH9VT58bRMWCOjmDJRS1zfCinWls97lOfNNB6+DxZVy4a8FAN8mdAIHnh7XvX8sg2f6RwKL25aiCcMvTsnzVPpaRTkLM6oYTZuYttCczV15Q07dQ5F1kXlmnczYrwMpvC5osPQwJsXMe33Z/HC5wYhdsoRzTq58s+eBgQ/6cvbqvWLDkltNm7lJP2WmvF4H/45ekZYpDLpNphyJM2d0oCK47akyAcWbUGjcvrvy9tSkPuzoKXUt1qAHDxMibyi5gAkCk3bsIErPY0iKDqM5o06eqJwEx2uFDA2iEl+ZMQR2MPCP2wSdOvRvz2kAou2NKScAhs38pKhs+NnXfIyZdFsvJ4TvDUN69SpUytOmVB40gFe9EZeGVdcCWBFF/xOFcdRIBLZy2wVhgQ2vYpGNfTuHDKEroFM47Utwa9yS0gfBwvFpUfpaXye8KTewGr4Ar8bz1lL4BK8T3htJze7fyfDFVn0MbyOBXvtPvycknlcQ1WHUbyVjjvi8WrcAbBEfSu+2/pWyDWoMydZrfrQEj9ShxuM17y1IKnOpafxeVasy4qUMd6jAwq7bAlVXJ3E1Li82xbQhvd+WmR2SiGIkHksJfPulq7qe+Mq0WGrbX99XIpm8Xd02lJg1u6zBEVOLXzJAopf42pBaEvm3Yygi4MpXAuRUVxftXtx/5t3smISZhJ75TFbpKm1PxgTs7HnjCX0ptp9GBK0bMjL0IhwEIZQMkgzOuQSoSizYkJ57T5Lhl1H//aQYI6VUrKlj4xB4mXczCmvg+/SuI4QzYouFPfmpaLyvJlWiQ4XN/zsaUA2nszToXSK2N7IqA4y1ObuRAe+S26W2bByQEEwC/NPuMX1Z3Ef+R4sqqZX4fNgeC/pbolOXBOJDnw3Fcdx/su7bcm14vOBtDpCK5jVwiKegySllIQJVnShCI8OO5JbwvBB0uIY1keaI4l3nnNARvP+oXeRmyQGbhJFziZJwoOTi6p2nyVbptC0K7MiUSveo0Mh+zTBc9CVsonf44MpkZNHh+An4Zau6siSDZrO3WrYiQR6r22JT636oN5svjun/OPLEqwXeSw3IC/JIRuQkxnRnTKgyzyPSSgJWGJe60MqqXEDBW7VYfgQOJ0q77YF8ckJIIkh5gVMNiIjMLOH3p3DKraALUV0CNrg5i0wG3Z9uR8ygawtE1aueikT48u2YWdRGa/lRVdq3IK8pGlbQa1Yn1PmRRTYK9dkJeQuOqynxIOOaP250g2kUUTwYPiR55wluGISQqi9j/diOl7erUOXNHOdkpNg6v9j771j4zrPvFFjgW+xCBDkj/2A2OvkTC+cGQ5nhr1KFEnLsorVJYoSRVGUSEmk2EmxDsnhlDNzzlGvliVbli1ZrnJvsRMnju1sonjtxPYmdmwnsXXvYrHY3SwC78Uqz/3jd57nyMnmwvfL90GAMS8guIicOeUtT/kVMxg2HeZZvcNh4MBcVDtPy1/dI5VP3zSM26pXQRWEN1FWL2E8OLsMl2+ELOWCxRkh6Be34fuWfK+Heq5spNl3lsHL5YAmMpYV63Mi3bnkez0Ckbj0yxiSJ7Oa5E6ZEpb7NVFD4T9ERO6ULoRcbsuzySOrcfGzYufj6E4kEdcT1wPD4BO45y1ugzuJecUE6fJmTZ4tz9effPxtUd+pXgUhBFcaQSS7MXNnyvPQLPDqmzHPm8pmRUI40oX74MDYflATPkhhL94le+B4H54VQ77XPnJQzXIEce55BBTRDgTJwUEkB0QkZHHfpCEO595ZJKmRTsy7ol1ILhiDXbFBk+CFYRSutC6wnLJNmrzX6A4kSey0zGpjoQGDGitRXGDYIEO3goOmBPGDcwg8nhoX3kjTK71Y05pOQ2+tJd8kFJ7qlqjia8BV8/JmTfhaIi16eUqIxv5xrHcuRvAew1V4Nta7fjAUiVX5mO/E6ys4iCSdRS5q7wDJOjRgBhX3pSRwZwgnc3Ps+2Hi6LqYoMQ7S0H8NX1x+DmHewzxvnBmLU4Xk3QZvhLusebYgqa0mAoyLyXWDtgay5dWrUHHOdJpfQab5DE3yhvH/3NemAc5dqMlg85qTEREBY/FZZ9gCJMzi8TDoWOdhC5PUd+V9VA4zJoE5Lgh5orcsa1cl6OGqoQULNjck00Xa5eqAqkK9SOpUu5JS5eFA1Vem7x22PWbeU7OnCWiULRbF0ETNvos36hR7VIV7/VoTjqktUtVKBkOGVL0YTd1di1n5TcW3nBo2MsPvNsAr5Zt2E+Uk1khJLuT4LBxsM/Gdcopyy+Kld6iO3V53g4dXAnfFM4I3teYExbpRPGsvh5IAz73XOY85O6HN26Iyp/tCPyyWCmMu6/scaGcViW54bUV7kbBgAsQyt0Zany5z9oPdqMowHsBm6AqJ4FEuH7YDmkiEuDKgGvpmzJkvfF5W/3CMCBq96YBhUzjs8ubkVDH2vEs2ITXOwMlPiaruy4mRF7cfgBwuPJmwKAr15pQwDNQzqrYoAm/sGoN9kanimclqpiPzIgxKHO2lLMZFHzMThq7rPvHcZY5dE2EZYrbkACz55H9oCbGzKVbTIn+J3fnE5AbOPIJyFdkcAKiZOD8zRj36E6QZKM7rEomq0mE+hG0sOQsb2wMbVr1gy4q3qaT/m4j3K/347BlrKVvEtV0Zw4Va9uxnEhzeuOWYkxgFAlLwRgwv0W7cGDW3Z4B/vPujEAQPHMI7uqWoANTsR5eI0xejnTq4qJd9twosMV7LFIly2Y2VMEcjTGqHFgTES1YnBFzMq7u1N0OWI5yAgeR7T44A7PfAqttOXSNfvHrmy2JVNNtN9KFzbr2Dhxw3jiSGvtBtJ4Z46vcpVLg8WkKmm19dmH2JHRpIzuzpiymCQkI9SFRXPzdvRLcPPJBhH7y8bcpOGhiXk+p5H14FkpWph+CZw6HWNkmTaAvpc/us2B5piJaxXocNrZzKVLuwuHFSaHtXgQjgVHTJGqLJvr0fDgz/pZNy7iCzTKmtnMpMRor2AfioW8KB4R9vwalHbPrFLo8RWWbTAhGC0ykSp/dJ8E4JzfBIZhZFe2GCpnzwjwq3CYssHibLgTykq2ooCl3ZwRzH+oDn4dhgJwkOHO6VCK9s0hgnSr+sCN26bP7LC8C8/5dFxPoRDwzJnyncA+gRUzSDg4BmlK62eRvmFVvdlZmRSX2t2BpatvhnFT32I2evQTC3ZCz5I4SwyvYbLByXU6gdIyf5/fGHAzG9yunVAnoi3brotxjPwidf+YssDeCbxrrrGp1TgQSIl0Iap2qTgua0n+yT4UGEISXbsFnXu9yzMkfB2isbMfXwoTigjHMZd+kKct8L2B8/gmrc3G9AR/L6rK8aPXKLC1oSgv0pXaZSrGnx8GhMjsiwSFDvtc/Yc79Z/fRgsUZ6RTwXsOVWuYLuFP4+wVNaUkMWAKa+SMMS/RNIdBiOBcRkSuNYN6hmepY51ICJ7KdS4linCuDZNF9aU68klhx7npBDYYTuZPgbgVGsOdzp5r5FtEOBORNJXE68G4D1d6BDtyenzSL4V242ySv78b7Cu/Bc/3Jx9+mwAhglQzvC5neMu6Upc7Ee3i4xxT6uB8iIgwxKt+IpHdhA5TYlFOA2y5sTFP1SogX2A9YPiCvf2wTiWvlOIxXe65sRGI7aog7Oss7R3cgQI7utFTxinbheYb6ME/YpZu7mAyFsx/QxPWci3m2ozgjeG2UbgYfsPn1DlrYiHXqzCHQZkNYTnoZynT9fIs9PU7euKUWGduuS9ebvTUCw3guoX5Av5QTWWqsnKOCfZZCle2QBcHizirDk2PbTUUrM7lgh3TmijLPrGSrLsR8Nv8NPzEpfkaVa3OS4LOYjXcGKoMs1166RZPOfs3yrPCYKtbnRIDGGzdEcpp9uLi7HhowvtBRqVybE8U07g6xUSN3Mutuz1BZi0ZNsTjO5BeHqHpVVhJi5STWjH2/RpGHB/IJyA0c+QTkKzKuh2CFuw0xDwsO4sAP7zExpGcQhNkPoGoRujwl1aBVP+hCBf75EejKHwL0iiX5WC6QFYiU06rgo4NDhhhPBYZxSLFTc9Fu67AtbzYlao/lpHJUuhnBCG+QrODlH0fwU7UmJ1Vq0aE/hvYv4/OjOxAUceDG18nVuNDlKXlWXHnnzY35GbXLQAgPXZ6itjfbEChkdIG+cFXQvh/PRblLtTw2UiDie+MISpQzIME5LsyTU7U03V0PAofOmzcfgoV7TYy/iufHxlVMpmOydflGSD0W9hoCDSrfCExrwRiCMWdOFz8EJrwygZodeEMDBt1WOEmOC/PU/HqHeC8Ehi0YCMPaalZk5f0zjvvaVbd0f/yPxkXPnquQvkk8L5aAZgO3shZ0X1hcoHId3iO/LxPIgxoAACAASURBVJZcVe4CjrtmOaAdC5rSguX3zljfz1CE0i1IYJRTEExg6FfhXrMTY5Lh3SmdfvepIpCuuiUq8NdPTkDG0+Sh+KaRPDDRPdKFeWE7jCSlci1UsFgxxj1vJZJsVFnejAPR/2hcJGxrl6q0YHFGjLdsR3JU/MwYXOs1rAWuFhbss7xUHA9A7pS9E3jNsloPq9j4Jwz63aeKkGiZTMomX8oJyL86LsyjE2hKytoPWgRe14NzAk/yJHQhvpZstZIxDlCYxN72ZpsYk7Hp6H8HwfIkUHjgpL24DeuWg/ZIF76T1Ydi7TCndM+bELGtSDg9c0j2K54fEeKwf8JaR7wfsF9FxfMj5I2jws+wUpaerVui0oVfFkuRILoT7u7lGzUKPzEpamDuFORoWcxj0ULTodoUjgj1YX/gqnXl2hw11MxD9teUMy3ajUTflca1cSeHAzgiEonjsk0w2CvfiL2a4UCFvZbKHEN3/OOWBwevy2iHyR+5OyOGnqxQxxBcNm9l/4fKdSD5Mya/bBOKPXwPFevBj6hfhO4wE4zZ0d52NEe1Lw4B5tdlwcw46eKiUFkLCg/hPejK8e+7MphDDBtjoYCK9ShgKCcBpyOyDGXZz4QFEqTTEDdEjIH9f2qWZ8l2LiXcE+5EBUbwDDjxKG6zeAeNlVgPImedQjDNRbWi3brA/Yp2YQ+puz0jHD0OoLnIx4azypkMOXSs90V1SenIs6mme16nhpp5QH3Nrir78ZS1aCLG4UmgeOKbNkThkbtERETeWctjxxvHniLqUMezAuNzaCiQeWcwz1jYItqhi3S0fxx7BvPTGPJWvTIrhS6G5/F+w++IeYOBYUNMjcs2aVRfDyggS3QHh8yu5ZCVHEY7ID7inrdk3O0HLINN9zwSUNeDcxTuhhx61Wr4RZVuwTr2PjxLnT/eLF3a8o0aOWbzJPQbOfIJyFdkcALy0Xs3k+1oTroY7kuQN2Q/AtuxnOCDy1o0UZOK7rAUkWyHTAy4efhEOnXZEAv3GqIaw1KurHBiO5KjsX9YBbne+1Kibc7GW02lUE5ic0TfFAJsDmzt+7EJccfGfj5JnodQufVNgbTqMGX3AqPYVBtq5kXG1TOH/xfpxOG+ODQhjsXXw0EYJuCdNSvQZ0CiZZ4H8zocukaVz4MjU70yK5UoJtFx14XlFgt7DamWKmcyAg1zaDiwlDOo0vgmERTyRs0Stnx4MfwjvMfcJB+A86srgw4Ad5nC3YYcDv5x6+8ZZscmfXVLVKm2LXq5HxLCZnJQ3gzeiHJ3Rt4zERKQshYksc6sLjCtsk2awK5YMpbFDZibExy04ECV6wCXY7nXa1fdEgjxwcIE6GgHKrSeh2YhOzqJzg93gZgv48yaimX3whNkUV1S4CpFT05QwT5LlYV5GLF2XUwrXWkkQ04zCGdOlEPXBJcee3oc3ixjCG6YMMvSpGwaxwo17hTUrRjqwQ6/njkEovwzTlUXZS6p0JrriiEZpVs0UYliUrhLtQiqZZsAV2ATR+Zi2PcjcHz7k1sF1+0wNKl4hveYstrnk5C0NrkArBCk3AV+TuSpcVGlWdiQFr8R3xQCiYrnR4QwXLkOhQTHA0lI+7aiAxLphJLbHw++j/JmTSRrGXvPqknhHrPTtFkT/g53tCo2aCIAUbZJk+Sdndq5gl7Sqsva4YRIOZORyjcn/jUrEDj5phDQc1W4rAUJWdXqnEgkF/biPmPb0TWxH9SEh9BUEif/hDlXTKlQlq8u3QzcOcPcxMdgbU5U6xw63hMRocP73CjZ7ktJgaNyLThxpZvB4/AkrPfmm8RcCYxgLZZt0oSAzjKubHDKEsy+R2YAx9QshSJOKt0pPOvoTkshi+eeQ8NcZR6PcjIrkKnF392LJGsXEjyWY7WfT8JPY8YQSXL7fpwBDNlhzg5LUXOXjiWIi3bj+bEjNxFR6mdLxEiSTUNZ6apoNwJW14NzUikv2Wp5zBQ9OYFrb9WFt7I4NAH4o8k7qlqTk3dUtEuXwoZnDnPPpeoC9WGZdccDSfz9c6Nwe78fxqOV63LSMVROqyIVfj301TuD51DSqovCYrgbkFIWYnGpFlS4rAXXGunE+2XVLH4WPLgLF2vHz3Gnnt3b3ZfmwM8xZdGZ18TQT5bXjXagcBHdgX8v7DVkbvNzb6iZl6JX8TZdFM6KduO7XWldeCS1S1WBzgYHoeTGDvaxdl08oVi+nbu3pZutNc6KWLV3qPCYujtDymnwjhhB4Zs2He9NYRr2/Spv1qhkVSKfgNzAkU9AviKDE5DoxiRcqk1pPeeFeZGULG82uwnDIMH6Hpmh0mf3iSsue1ZIV8E06eJNpHIdqkC1S1Wqr09RwZghBFqWwuNKO8NgmJQc7sHn2+9Pija/O6kLJCXSaeKE71AR9LLh2hFrU7Udgtxm1Zqc5YI9gc3l6HsLKNwDUlpj5ZxgeNnlu3TzdT4gploX81D84xYUwakiuODqdWDY6oIwzKhgH2BjDNGoWZEV52Zu00u1P4nDODRgwZfs55MSUHlnDamSM0/CYWh0/y9KyZPQqakkDhnPFVlyXUxQebOJUX5kBryViwnyPDQrELWyTeCb1C9KiW9DzYqsGNHZjuQgIWnKIzIxzxs3zcjMKiwr5pRtgi4/m0gyXK94G+B8rCrjSViwCW7rV67NoRKo46BkMnzV6pwQrINDhsjRcqcjOGSI+lnpFk0qncHLU7TwOwNUuBd/11QSh0/E2QzIs1stJSPGK5ds1UVekhMI5gg5dI1+/5lN1H3Y8Z7dkq9ddZPtMCRAnVlU+Zm7E3lqnIhQ0bcdywnnyT+B7/npJ9+iNa91itcN8wHYpIurgmzUyco4hXvB3WBFpbIWVLRrlgPLzmaRyl2qHNhikGh2M/3jSATZn4I7Y94ZzGXu9BXsA3+GuyxrXusU4YTKtaju1qyAmhBzSJjr4ptCtZsDI8eFeYFDssfF9bBHHpFOXaqSbPpYvtEkRw9bfKNwN76b4R4f/PpmKBQdQrLoeWhWzP+YOF7cZknJLmhKQ5zCTCKKdiHYdWYtx2bPQ7MSbBeMGeLKzERudlbnayrsRUJsP6AJT8apIkDiIFJ/t5FKN2vStWHpZTZkq9gAl3PmIrDHBENriAiQSPP9swoVF5NKtiIA5QJTpPOLezSr5YV7sL8uaIKUatA0dKxeBRgT73mFew1JGD0JXfgt3LHh/a9meVaUjoq36fJs+LN8k2YF/e4MLWxI02MfhMU1nJXDWJjAndJFJY25fcVtOjWVzYKzMWSRj7l7Hnt6HHyYLUj4iYiWvtot51nw8hQKN6Zc7sLGNLlUJEW2wyjE2I7Awb6hGpwY5u2VbtZECY8Vpbh749A14b9xR185m5E9n585c1VYmrhmRVZkeNkYNNRnyJ4b7cDcZz5maMBUm0ua3Ya7MyK6EerHPlEwhn3FnUS1f+itteSfMISrFhgxCeTt+hd8r9xJK9hnoZGiXVZn36li3XgSukj0s78Ve/7Y7k1T1WrAzJSTWfG0Km7D82M57eI2nDmRLvBkgkPgibBBLUOz3UnsYw3VCfI/GqcFTWm5FoehQchjJwoUjLTgucndc+4ihvdgvfqm0K2yHc6JbHjkqXGqWpMT/xeGi/rHUSj41vF4PgG5gSOfgHxFBicgVY0gbrEMrHI8K+Ssot0IImxHURVjBSpWNWGsOWM5PQlADpggzATs0IAFeShpxYbn0HHQMp+DzZacF+alW+CNW8TuwOPTYhTFJm3OC/MiycuQpUgngkHflOXeLBwWs9LsMEBQ5i4EBy3Vq1AxUk7i0OVRtMtSArPfnxSDO8aQckXJGzchK/PWgRvtsAyu2ASKVbs4aF9Ul/wCrCHcbQgsbFEduhlMqvbGDelALA5NIPjM4RCwn09S0ZMTQi51XUyINrp3xhByMGOsmdjIxH02LOQqHbvOVzw/Qvb7k+R/NE6/+1ShDT/cQa60Tr//zCbysstf3UM/+lgh5UyGdv24hWpfHKKy50alCtUUi4tc58KGtEDT2JWcCeecWAaHDDGWdGUsyIk3Dhxz4V7zfsxOkH8CB1asXZfkirXhuVrL3jXBIXg9BAeRBNruTQPmNWZIpdc7Y3WnXCow5ZVrUdGNbYdUMxtqsSQmH6zszMudL9t9KanCsq+E7ViOlBMwufMkLP6GVNqXZyWZqluiUt3tGbIf0MR/RjmbIfv5JO714VmBZ90WnSZPQqdf/Ppm8W6JteOQrthgET1Zacg/bgY/qhn8mFKURbt04QqxmzV3LVnFqmi3LuTxhqoEObOokBe36VLlZpI1E88r1mOfOf5+HeV+fhsNvbWW6l4apMzPF4tS2PUj2oGEzZ0Et8yZ00VJx35Ao4YaQBaZu+CZw35V1qKJOV10hyX2wN1VVwZrnhX6Qv3o9njmIOGsnFZhzGlCShgWU7MC1XVnDsFJ8TZdOrK8Ngt7EfyXtQD+V7rZhLuNm/vgo3HhMXAF2XY0R/X1KQnMHbom3U/7AXxmY+WcFCMiXZjnRIS5dBegKO4kEjyu6BbsM0Shic0gfVMGtbzRTrZjeE4OzazyXkyIqavf9OsJDcCklE0V7Qc0kYFm+dKK9TmpfrNvhEPD3KhdplLPlY3ozp3IitpexQZNDOEinTq1vrlNujS8Z4V78J56rmyUfZ45AjUrspLkMYzPldElOOXusjOHfZ6IqO6lQfEfqnh+BFBSM0lz6OhQ8Hsp3axJosEeJHyGcEJculmjnisbqeL5Edm7GXrKnlgOAwlkzfKsJJDhJyZh3Hl/Ukj13LlYsDhD7ktzgA0f0gQaxt2jwCg+o2KDJqp4lWtzwilhyKozZ61Bl4q57ntkRhLsig3oIleuBeQw8c5Sa83tNP1hTMif7XBOEiyWYWdyP3um1N4BqCirdQVGDZGJZ8l36cycVuXdFuxDoS3cjfOIFajKmzWBUHf+eDM4gTus98MdUb9pE8BGlw4NYjr2A5rIA9feoZLt3rTI7nPBk/dTPmMWNKXJdsjkK52FeuOFXxaTcjJLy1/dQ9euuukX730zn4DcwJFPQL4igxOQ8NakuJZyReP3n9nIdTFBP/vk7wSnWbxNp2c/LCDleNbSb2dJwjlL5o+DQNaWdzwAtZFIpy6KNYV7EfTyBma7Fz4RtsOA31StQVB35/d3CfQq8Pi0bDJcPeR2KpNJlePwDInuMM2tTDw7kwK5ylS2CQcrKw5VbNDkeqpXgUdQsT4nzyq2HRVJrraE+rGpsbmYchw4edfFhLT12UeBuRHeuCF+B2UtCOgq1+YkwHVcmKdYOw5Y27mUOM0rd1l+AXVLVKm+86HiMjHCgcenqf1HW2FIaFbDlLtUgRHwewrvsWA8TARWTmaFzLfkez00+tZqgYX4xw167IMwvCIei9Od398l7sPXrrrJfWmOiIjG/mEVXbvqptzPbwMf42yGAo9PS+XYflATjgS7L9vPJwUuwXCQgn2WLGxxm2X4yERW+35NSLVMjo3u1EVZR2Q541anhMnrZZvwbNlDwH4+Kfwi2zEQnUP9eG+ff+ZAG7/fcocua9GsuWuSrNlMs2p1Tirh/B3Xu0YzETbWjiSWNe1th3H9TGgv3YIuRrjHFFQwcdVMymV36dsKJwXv7J0xid5bEZzX3Y7khAUIODkLDSDIds9b0Lui3bgOlssO70FHRTmONRAYNquxl6eEK+ZUdXFyZqy375EZqlyXo+Wv7hGIiv18kkL9Zid0ly7EZoeuUezpcTnUT71fQ9euumn5q3v+ZJ+KdOlU+fwIFe5FsujMoYtQ1qJJp4glXNmUMrpTl/XNVXRO+rkowo7ltsO4tornR6hqDbpXHBQzhMmp6hbHZgprgiv7/HPhPZZ8dagfgWrw8pRU9BnmwoaMhXvxO7UvDlHV6pxU8hke6k5ZCWHl2pw4jDN2vWZFViSwC8YsY8HSzZqIc1y76qYFTWmRdmW1qkiXLoUZrsC7MiiWNFbOoQCxDVVwV9qC0bLPDvNeqldmRZWwrMWEUu3XaNHCpMzZUD8KQ6WbUZkO7zGoKRaHc7opnhAcNEQZyZ3E3m0/iGfgmTMEiuWdseSDWSiEO22Rp9DxcFyYp0Pv1dOBdxvowi+Lqe/Kejr63gIiIlr83b3oMl6eotjT48D3myqOhb1IPLkz6tB0ObOuF1FhiCUTotl8887v7xLjSYb8sn+I7b4ULX21WxI7+/0QCGGSMyepoX6rG8hdYe7uRjqxNwYHUeTyxk1fDVPkoWpNjm4rmiT93UZqLJ8FJNmUuGWneoehfYGL5VIxd3mP41HWAt7gax85SDmBruL13iehAUMU3rhY5E7pIonrTlrJucvkf7F3h28a+0uoD3tJ2SZ0dEN91lqrXpkV2GHdEih+uR6cE58u7nIJJLwdCUPtHSqVb7TMIHneNZXEyRu3EnuOd2znUiKXzua//nEkmOEnJnGWnlbpO7/y0k8/+RZVvzBM3zowl09AbuDIJyBfkcEJSGzDvGAqudLvfXhWiH3KGXAdau9QZQPjYEI5pUr1uWAMeGeXqotkYvlGBM3XB9EODYHLuV+UU/2ilCQUTIDnqg4T1Ff9oAt66Fn8nmfOkMp59Sro6jPun5VNbEdzgtVlyUrltCoVUSED7tKFL1LcZhpKPTGJ6vDxrDyrol2oypdu0UTmjxVymDjI6kAu1XIxd16Yh8v1AOAqpZs1UWjhgLtot6lQ8+CcuKxHOuF/4dCxOToeSIrvg3KXKhK7jIH3TRrkuDAvXiyVz48g8FtrGWQxrKOhZl6kMf0T6Ca4VBxuDgOJGqsT2Q4BOzv59p3ke2RGKoj2+5MUujxF6364k65ddRMRUc+VjTT01lpqfr2DEu8spWc/LKBT79cgyDIrhuzvUjBmQXZsxwCvut6BmwnY4R6Dql8YFj5J0W7Tm+CetATvtUtV3PtJJDLK8SxVPj9C1auQ7NTeoZJDQ4JSdzv8SXgecsDAQXi4x6DXP7YJTt+l6mKiF9uOAF+I3qY5pMNABdD14JxIzDpVPDt2sWfsNBFR0yu9qMbfpYrCkzsJyKP70pzAM65ddWOumUGW7Qgq5OzNw++W1bdcGawRIW6OoENYstUy5uMAZ0FTWtSeuDvnfXiWbPelABuZNQ0euzG/2FWZyf6+R2bIndQFmuK+NIfupaqLH4Uzp0twyDARVtL7xa9vpp998nfUd2U9ug0nsjT59p30k4+//Sf7lHImI8FYrB2dHQ70C/daewFzx9iBmWGbuZ/fJt2ecA/us7xZkyDcPa9TwWNxWfPsA8OeRtEOBEShfitYX9iYJuW0SovqkuSbws+xul3lOhh5sqQqE6rr61OiNMfS1FxA8CR0MXFsLJ+FqtFT49JNYTggq3OxSRoHjUFThlg5jkqzcgoQKVfG6nTaDyCB/+kn36JrV90ircrKhwsb0iKM4Ju0ihVsUOubxN5R3qxJ8M+mlezXU7IVSZnDwBkS3oPA2XY4J12s8o2W2aXDAPfEae6pThVBPTuyMwSyZkVW4EflGwH/ZGghJ9Ftb7ZR35X11PZmGwUen6aht9aSMwvpaNt9KSIiWvNaJymnVFr+6h4q26RR6mdLxOjOndJp4KfrpLPU9Eov5OYfnMMZMW0IWb+kFYEs8+zqF6WQpJ2wujJVaxBUs2AAm++x0l+oz5J853VeusV0iJ81ZG8UzwwTAla0C5Alfta2Q5p0IVm9ilX5bPemBWZV3gyRGPb6Ue5Jk+1cSjru1xfcojv0L5DJWSLXfkCjoicnREjDaSYwRbtM8RaTSF61Bmfe9fLbfK4zd9A3jeti6DNzba6PB5Qz4Hva91su9MVt6MIwMd8/biZks4YobjG5njucDHdteaMd3KPQBEyPpy31O/ZusR2DiuaqH3TRwu8MkHJKpau/vYXcSR3eSpcG8wnIDRz5BOQrMjgBcY6nyDeNakGoH5U0rgor96SlhRsYxaJmOTtXGgcey3PazydpQVNaqi3c0eAAx5nDRlrwWNxSR+m2lDRcaXyOO4UAnMl9pVsAnQgMG6Jvz1Ub+0EEzIz3debMCq5ZnS3YZwifhCU4S7aaalHm5lazHJj1WDuqSOy6Gxyy4CDcYucKGPNRitt0MVmLduA6GMfsmYM7PMO+nFldsKUsGxztwP1xNch2XwoH9iEQ9ZgDUNKK72boCUO+2G2eMceFvYZUFLnS7b40J67pTCwv7DVEOaloF1rkdUtUaqiZF7Ulhw5c+sLGNF276qZrV92U+fliCl2eoum3V9ArH7lJf7eRip8ZIyIEQc9+WEC1Lw7Rhh/uoOoXhqn4mTFJQku2Ish2qrim8mZNZD2Z3B4auK4a2Gd12FgliiEpDg3Pkt2tbYdz4lTrzFqHZnDIVGsyeTviAn9ahYTyacBW2AiRnbE7/n4LvACe3Udlz40KUbf2DlWkpWPbcT/+CQuaw6TX4OUpgYyder+GQv2YD0QkuvaBERz6tiM58Z1gVSTlHkC07AeQgFauQwXcdm+aylo0an69g6pXASrpnQUvg43DWMiBu4nKKVVUcGz3pgHFuTyF37k3DYjVfotU73ggCQfjOJJaVuJyGBqNvrVauC+hfgTz3odnBa7HVVaXCoEK7liyjDEbkA78dB3ZDmmkv9tI16666eh7C8h2b1qS2euHd8aQKnPtHapwMphEajuSg5dMnyHwvao1CF5rl6qiaMZGl8xbEu+LCRPCttbkKplu37Ht+hcgW95ZrNGGqoRI79qO5sS5nAsowl+aNjugey3/GfZzcV1MQBL3LtwPizLc/4tSeDKZkLLQ5SnsecytOpkVWVqGxBChAxLqN8RBu2QrFNgCI4CwsiErQ6OqVufE68WTwM8qJ+As78rgXRa36cK7Wfpqt+zl3LmxHckJXJNVsB77IEx1t2cEEsuiA9WrIFN+vckoc128cTyzsk3YI69ddct+VbHenPeHNFF/YrXESKcuCko1y7P0+sc26ruynvqurKdVP+gipwo1tNG3VpN9PxK1xz4IU/EzY+S+NEe/+1QhxwNJunbVTb//zAY1p1lDoFsM3+X3FRg1eQOT2Ptj2/GnYoNGoctTMsdLWnVREeQkjtcQnz2Rp8YB8zQ9glhdrGAM3fSiJyfk3OSOFhcD2NiR5ddDl6fkXdkOacLLCe9B5yU0YEgXIjCCJGXxd/dSrB1Gwpd+GaPqVYCC8mD1xnC32VU2OWjhJyYp9vQ4YFgJXWSvlbsz8vPuS3Ny7lSvRPGvpNVUfDThkAxVDfXDLLOkFTwzTnhE+czcc9kElX1ouEvEnU4+r72zULMq7DXlyI8AQslCM6Wbcba7kyhOOlWsU97PWFI90oV52PrmNgpdnqJdP26h0bdW07lflFPw4nA+AbmBI5+AfEUGJyCuc2No2ScQtP/k429/weU62mHKDD4zRsEhHKJiNGgeFLbDOZHa5BZmqB+VEFYgUu5SpbpRstWs3OxBJYY316ZXekW3n/1D/BNIfGpWINkJjBpSAWajoKLdloJF1WoEz8Vtuph1MTFXOaUKNre4DRXCoicnQAY3VbucF+bJPY+NiAerhXA1/NT7NeRSdXriwxAqfSae1TcJNRP2fyhuM+/97oyYZ537RblIhrLnhzuFYHbRy/1CjPbGEZzbD6ITwERbVuOoWZGlhY1p8ZGIbYd3A/MJYu14Js4c1GCuJ8myIlbl2pxUlZjvE+ozRK7QfgCH2qsfOaF49swYTb59J9W9NEjXrrrpzu/vIs9Ds0REAt+68Mti2vDDHeR9eJaKnpyg0OUp8k1aOvXc/i9uQyV++u0VUs3nwMeh6RKshHsQ4JRuweFfvRLqVYx1Z3Um25GcdKM4AfFP4IDzxq2EOPD4tKj71C6DVCobXCln4e1St0QVDgnD10L9mKPH36+TSiYbjnnj+Luq1Zgnnjl8Fq8P5R4QnIlIxBX8j0JzvmZFVkwebedSknByIs2Bfagf0I3qF4ZJOZ4VxSfbOfAGgkOWDj8r33Cn0juLQ9ahQ/TAdjRHVWtyAjmxHQapnT0nfNOG+KPYD2gigR3usWR9y1pQFS7aZakyeWetZJE1/Uu2Ws7pDFNUTqt0/P06SWwPvVdPV397yxekQHkwhKek1XouzLupWQEjOObNVK3JiddEpBPXFO1A4GHfr0nHJDAMzw2GUxWMXefEPII1455HsFO7FF1ellVlZSD2AWJ5Vv8E7tcbN/dIXZMKb8sb7VC3M0xM/8Oz5L40RwVjCLJYgUs5mxHVKfabqFqTk0JM1Wqsk+JtlhwxEZTVOEitXpWlWDuCW/3dRirfqIlKEePjI0+NI0g2g1PlBIpPl34ZQwf5GLwqlJNZkSFmSA8b7DEPJdKJv1v0cr9Ic3sfnhUoauDxaapciwKP7b6UrCvbvWly6AjMWUo53G1Q65vbqLjN7MCeS0FZal2OapeplmO6aQjJwhyeOYM6/n4LhZ+YpFPv14gUfOSpcXJfmqOmV3qJiDA3npikRS/3U9lzo3TuF+VU99IgfCeuU4mK7kRHJzSAuVbcZnoVtaNwxr5F3lk8c3cS3BOHrkmBiuFWoX4Uuwr3ms/6eJYWLUxKErywIU0VGzQ5L9a81ileMdz54i5m/aIUIGGPTyPZNTvs3O1jGHTtMlX8fSo24P3XrMgK6Z1FU4KXp+C5dRSdZB6BEUNgs0W7MWeqV+G6GbpXsUGTgs7CRnD6wj0GPf1hEHutmfwUjGHvD4yic8hCFsEhy6SxuE2XrhonF5FOq3tX3qwJwbxuiSrFUD6/WIKZOYG8rtnDY1FdEkWhx+JkO5r7ApSSYassUe+bNkQdsfL5EXBaTW7lv3x6K91zpSifgNzAkU9AviKDE5DMjxZIdaDx5T5a2JgWvKQ3DhlWrtwxdp410BluUrpFg4zsHhzw4T2WYzW3aW1HgWe3HUIb9/5flFLjy30Cn2AljeJnxkTdiYMZbvcubEhT+IlJtL9NfLZv2hDYpEq4UAAAIABJREFUE2OX2bCN3ZO5Dcwdl0inTqXP7pO2sPvSnJiDlW0yZTsfjcuz4mqW/YAm5oXsllqyFSRJxuoqZzJCSK1eCeJhyVbLsZqDZpZvVe7OiKIWS2gGL0+hQmqShNkojavuTGxnedzQAIJcliT2TaMtXb5RExnawl5D3gXLBJe1aKJ21fhyHxRmzGuObbeSReZ/DL21lnqubKQnPgxR25tttPTVbqlaK3dnyPvwrJDUK54fIdeDcyAsDlkVRW/ckCoeY4jZsLFoN7pWDKuwHUGwy6713jgCrIIxBCrsdi3SjEMG/fNv/054QOzL4knoomTG3BU26rPvR7fFmdUlKSxv1gRKEulEoMuJhScB6B//O6vbFLfh8GP4jSeBOcn4cYeZgDDxuKzFhPRlrMSPE9/ibTiEa5cBhsddHX4WrPBiO5eSbiMTPoODFoH9888cAjXzPTIjCkVOE3JnO5Kja1fd+N15/QscFIeOirtv2vLxKd6mC2470qULJIVJp6t+0EXBQYtnxIF5cAhJnW8Sz2nxd/fS25/cSi1vtFPZc6M08NN19LNP/o4WfmfgT/apzh9vlmqv/f4kOmJD2IMineCrlbQiCAoNGNI9ZKik/QDux5VBIlS5DvfsypheDAlLhjYwbEjxgMnhjgvz0imMtWPPCw4h2aldhqq59+FZWlQLBa3aO1Tq/PFmWrA4I4Eyw2Js51Lir+Sbwnq0HzTd3PvxPhbVwXXeqeL6KjYA016+EYkgi4DULlMtGV5T6jTcY8i9e2dNSVFTCpm5fAzrtJ9Pgts0i78LjFgdGtthdEKUsxlS7lLF96V6JXhBLW+0i7CDfwJJKVfgQ/1Y37zmwz2AkNoPoADkH7ckk0N9Bi3+nztFBpWNUCvXAQajv9soLurOHNYEe4mwVDATilvf3EbTb68QvhrDRdt/tJWWfK+HiIj2/KSZvDMGtb3ZRut+uJOe/bBA1OYcmmVU558AAsA3ifmx/NU96DaaHJTgEJ4td81cD86JYlnhXqzDcI8hCRZ3Xbm7zAkqQ6RqlsNbw53C+mITQzYSXOzfJ74YRbsxZ0q3aPIuGarF0sElrbo4fisnsyKRHN0JTx2ea8ppVc5p97yV/AdG8Jw9CVNBahb/7Z3B2cG+KQyrc6VxpnLSWb5Rk4Sycp2piGfCtEtagRoo2oVnYjsEE1lPwkqWCvcCgmrfrwnnkZN72zEUGCOdmOPF2/DcroefMY/HM4d9kU11hZNjyrgHh3CeMIKAYbPOrE6Zny+m9h9tpZ4rGwFZPK3SC7/ykf/CSD4BuYEjn4B8RQYnIMVr5sk3ZQj2NsTEyctTqOQeh+FZ8TNj2PzuT1rO2Qm0VoND0Em3358kV9okbOeAnQ4MG9T4cp9wR6I7EFgW7jWJem0IfjkZCIygwuObNKwDJ2UlPuy3Uf3CMAVGr8NU78FGFe1Aa9mdQhWtpNVU79prHV6+R2YkAOVqsXI2Q/aDJszmoCXdSISgsXaZCriN+TvsMcBKIXzY1i5VBQLi0HTpXDDkg3XbN/xwhxAEi3YBv993ZT05HriOoHxvGupeK7FJRp4aB2HU3PAZYiEwN1NGVDmRpUUv90t3hfXxfVMWeT3WrtPZf6yg0mf3iaO97b4UuS/Nwd/hkCZ+ErwJf/Kbm2nNa51U/cIwffDrm2nJ93q+AMHK/fw2Cl6eosc+CNMrH6G6zdh2h6GJoop/whCXXIbGsWkVw3i+8ysvgsEe672WbrZkoRtf7qOCx+LoVswaIsVZtSZHtvtSVPBYXEzG3PO6kG9ZUWthI+BIyt0wbuSDLzj0Rzhks0PHJMlwN6AxDAdjFaD3fn2LQGoYssOdOuUE1GuICF0uE15XvlETHlH9ohRVrsVBzA7xLLnpeWhW4C/KKZW8cVMydXFG5FGZtxFrx/Mu3GuInDDjpBkWVtaCYJHJ8SxkwBV497wuXK2mV3oFlsLBSs2KrJjwMY+AoZN8fd64IUGzf9w0EpsA8bjy+RF679e3QLb4XIp+8vG3KfLUOB1/v+5P9qnAiAl7fHyagkPosjHHhfeFxd4Rcpn8k7IWdAoYxuHMYs1zV0G5Jy1y18VtuqgyudKmjKqGwIiJ3xz0RTp16WKylKc7iaTCoSEBYr8M+36snepVWWqoTtBPP/kWvA52WFCT4m2ohpe0mpBKU5Cibgm4Kp6HZqWKXrjXdNxenYPBpilfyqphzMdgXpJTNffLUav7def3d5FyJiMFBVY6CgyjmlxfDz6Acgbdb+UUYKI8Dzg4ZONL7oCEuw2p2leuy+EdbELCVLxNl65A2SbMdeZqsUQqJ/rcnWHPEJbsrV2mCoTSdZ34AUu+F+3C3G17s43WvNZJb39yK/3Lp7fSgXcbKPD4tCQyRCSQv6InJwSG6LwwT7HtOi2qnZeuXqgfa7Kk1ewgxrG/M5+HfVR801hLDLFypyC6ws7kLALBEEAWSeBKfeW6nHASi9t0mRfctediR81y7I3sveFSkXzV3qGKu3pJqy5qjzy/ox0owJW1aAKX8o9b8seeOYi0sKw1j6LdupgZRrp0MSAtbzbf4WlVTP6Kt6HzzlLVvB/ULlMlgfJNG2Lu6NB0eu0jB/kmLbGZ0ADUHnk+ued1WXPMjWE4NQtflG0ClJllfDn5LnpyghYshmIgq7+xsW2425BC6SsfuQVNwQWg6lWIV9xJFCWvXXXT7DvLSDmtovN8MkvJHy3MJyA3cOQTkK/I4AQkv5DyIz/yIz/yIz/yIz/+v0c+brqxI5+AfEVGfiHlR37kR37kR37kR358uZGPm27syCcgX5GRX0j5kR/5kR/5kR/5kR9fbuTjphs78gnIV2TkF1J+5Ed+5Ed+5Ed+5MeXG/m46caOfALyFRn5hZQf+ZEf+ZEf+ZEf+fHlRj5uurEjn4B8RUZ+IeVHfuRHfuRHfuRHfny5kY+bbuzIJyBfkZFfSPmRH/mRH/mRH/mRH19u5OOmGzvyCchXZOQXUn7kR37kR37kR37kx5cb+bjpxo58AvIVGfmFlB/5kR/5kR/5kR/58eVGPm66sSOfgHxFRn4h5Ud+5Ed+5Ed+5Ed+fLmRj5tu7MgnIH/hiMfjdNNNN33hzze/+U35+z/84Q8Uj8fplltuob/5m7+hBQsW0M9+9rMvfMbnn39O3d3d9Ld/+7f0ta99jZYvX06/+c1v/n9dR34h5Ud+5Ed+5Ed+5Ed+fLmRj5tu7MgnIH/hiMfjFAwG6erVq/Lnn/7pn+TvM5kMff3rX6dHHnmE3nnnHdqwYQPdcsst9O///u/yM11dXXTrrbfSiy++SFeuXKH6+noqKiqi//qv//rS18ELyTmdpKJdOil3qWQ/nyRv3KBwt0GhAYNsR3J0W2SKlDMZWlSXpPJmjSrW5ygwalBhr0GOB5JUX5+iRQuTVL0yS4FhgxyaTr4pg9zzOgWHDCrZqlPpZo3cKZ384wa5Hpyjwl6DyjdqFBwyqGJ9jlyqTpXrcqSczJJv0qDiNp1shzSKdOnkTukU6dKpaLdOsXadfJP47PKNGkU6dbIdyVHd7RmKduhkO5oj/7hBoX6DyjZpVLpFo+Jt+N7SzRpFO3QK9eEaI506BYZxj4V7DYp06VS1OkdOVafYdp1qVmTlWdXdnqGqNTmyH9Qotl2nkq06FW/TqXJtjsLdBsXacW2x7ToFRg0KDhrkfzROtUtV8o8b5MzqVNymU9WaHHnmDFJOZskzZ5BT1cm+XyNnVqfoDp2iO3VyZnUK9RtUvA3PwJPQKTiI3yndolFg2KCmslmyHc5RSatO1avwzNxJnQoei5N/3KCCfQaFLk9RqN+gwKhBnjl8XqjfINuxHAUHDfIkdKpflKLQgEFlLRqVtOL6C/YZFBjG8/JP4Lm4VDwr7yzuxTeN34nu0Ml+UCMiIvt+jcJ78OwDj0+TU8U98zss3aKRdwbXZj+gUWDUoEinThXrc1QwZlBwCH9XtEuncDf+WdKK63Gn8Fxi7TqFewwK9RlUuBe/U7FBo9CAQb5JgxwX5incY1C4xyDflEG2wzkKDRjUc2Uj2Q9opJxWyb5fo8Jeg6I7dQrvMSi6A++ycC/mnTOHP/5xg+z7NfLM4TrD3XjGRbtwLa4H50g5kaVIF+Z52SaNlJNZqtigkSujU+1SlZxZnQrGDAqMYM4REYX68Bw9c5jHRbsxZ/zjBm344Q4KDhlU/cIwNb3SS6EBrJ9wN67BO4trKG/Gddnvx3qNbdfJG8d3FO3GemusnCOnqpNnzqCi3XiWhb14No2Vc+SfwJwKDuJafNNY94FhvAeX+f6UuzOknMiSchpz2T+B5+9J6KSczJJyPEu2wzmKbcdzCA1gzimnVSpuw3pTjmep7vYM2e5LUfiJSVJOq7SoDvtO1Zocued1Cg0Y5NC1P9mnXCrmm3/cusaSrTp5Z/A99YtSFBg2KLwHczPSiWdeu1SlaIdOrosJiu7AZ/im8DmlW7COa+9QyX1pjmLt5to4msP+s00n5XiWXBnMhUiXLj/z6kdOKmnFflW9KkslW/Fcq1bnKDBi0NJXuym2HftSrB0/V3d7hkIDeA/hboNSP1tC0Z3Yw5yqTu6kju9Ssb8V7sX6U05kyTeFdx/qx5oIDGMPrVmeJXcKc6qpbJa8cYO8D89SbDs+K9KJZ6qcyFJZi0beuHnvz+6jqtU58sbx/t3zWPeTb99J1666STmZpWtX3V/qT9lzo2Q/n8RcOKVizxg3yHZfiupeGqTSZ/dRYMSg8mbsvZ45zF+XinnhmzLIflCjgn0G2c6lyD9ukPvSHHnmMKd9U5hv0Z34ndc/tlHdS4NkO4ozKDCKfc43hXdqO5yjSBeesSujU8UGjRy6Rs4L80REX+qevA/PUsFjceq5spGaX+8gx4V58s4YckbYjmFP8SSwDl2qTsqZDLlT2JsKxjAPS7fgzAt34/+FBrAPVK7NUflGjQIjWGfFbTrucYdO9vNJvJNLc+TK6GQ7nKNrV9106L16Uk5mKdRvyHX+9jc307Wrbgr1G7T4u3upsBd/p5zI0qVfxqjzx5up/Udb6dpVN3X+eDM99kGYeq5spI9+czOVPTdK/kfj9KOPFbp21U2eh2YpeHlK1tyh9+qp4++30LWrbqp9cYiuXXVTz5WNVPzMGLW80S5z5dpVN5W06n/2Wa76QRc+P6HT7z5V6Pef2ej3n9no6Q+DNPDTdaSczVDdS4PU+HIfudI6VT4/Qq60Ti1vtNPZf6wg/d1Gqnh+hI6/X0fXrrrp//7tLXTtqpuG3lpLziye1wu/8lHflfUUeWqclLMZyv38Nlr6ajfNvrOMnBfmaewfVtEjH0Ro1Q+66IkPQ1T30iC5L8196Tn+x3/+r3/8dj4BuYEjn4D8hSMej1NRUdF/+3d/+MMf6Oabb6ZMJiP/7/PPP6dvfOMbdOLECSIi+td//Vf6H//jf9DFixflZz799FP6q7/6K3ruuee+9HVwAlL5eA+VtWi0qHaefNNIDAr2IRiItSNAcF1MkDuJDd2pIvAo24QEIroTh2JgFIHn4u/upYoNGgUHkaQERrABe+P4p3I2Q9Urs1TerJFD06lmeZYCowggCvZho/dNGkhoRvD/XWkkBM4sNms+sAv2mcH2AIKv4CAO7vKNCHDDPTj0ORCP7kCQxAGNN26QcneGXKpOC5rSEoxxsM2jrEUjxwNJclyYp+CQQQsWZ8h2LEdNJXEqb9ao5Y12qlyXI8cDSMQ8c/iuhQ1pJCRDBjVUJ8idQiBTu1Sl0i0aVWxAkB8YwT1WrclJkB4cNEg5pZL/0TiFBgyqXpWl6A4ERoW9eJb2AxopZzNUsM+gsudGaWFDmvzjCFQK9yJYq9igkXseQZJnDu+kcm2OGqoS5JkzqL4+RcXbcF38bEs3a6TcpeJA70SiVdKKZ17YiwBUuSdNoQEECERE5RuRxJQ3Iwhxp/Dz9gMa2ffjXovbcKhyghvuxudUrstRtEOnRXVJsh3SyJlDEBndgcDDN2kGoJOYb4W9CFwcBuao/XySvLO4N/8E3qvtaI58U+YzHDckSLWfT1KoD0ECBxbuJO7dfj5JxW2YR+5581r34HuVk1kqGDOoZkUW7ymOBDwwbNC6H+4kVxrJSaQLgYhvGolpdAeSmcW+USIiJM1Hc1S6GQlZebOGBHqHGQQfQRDMSQUf8C5VJ08CQaVvGglP5doclW7BWvOP4/6UMxmsoWkEJBwYF/bidxY0pcmV1sk9j4RGuSdNgRHML09Cpzu/vwvf04e9wJVBIBjdifuI7sCadeaQOFWuQ0BVullD8KXiffgmDfLOIDCsWpOjiudHKLzHkKTSfj5J7qROymmVlLsz5I0bVPzM2J/sU6EBzLe6lwYlca1ch3USe3qc1v1wJ9nPJ8ml6tT8ege553WKdujU8fdbyD9h0P/zmZPc8zoFHp+m4CCuzz2vS5BbvQp7kXIii6T/aA6Bq4a15pvGs+FkvG6JSv4JQ+ae7TCeb2w7/r1oNz7fflCj6heGKfLUOLnSSC7q61OknMxS0yu9FN2Jd8nFFdu5FLnSCFhDl6cousNMTocNud5oh5X8N1QnqG6JSkRE1auyktD7pgxqfLmPSjcjMa9eiWu3HUbCpJzIku1IjpS7VHIYGrkuJsh2OEeOC/NY2wNIbEOXpyj8xCSNvrVaAr/r/7S+uY2UUyq5VBRKyjdq5J3FfhPeY661A0jKSzejWBFrx9qtfmGYinbr9PYnt1JgFHtfqA9zNjCChDUwivssGMPaffbDAlLuSVPxM2O05Hs9VLAPyZXrwTmqWp0j2zEUdwrGMO+cOcyz6A6sHyIi9zzOEeWeNBWM4Xn5xw069X4NFfbiXXgSuswzfh+1S1UKDuEMiXQhKbfdl6KSrUgevbNY6w3VCfKP42fcSbyzig04T6Md+KzgIOZzcRv+u3pVlvzjWJ8lrdiTKjYgefFN4Rwu3GtI0sJ7oiehU+zpcfLOWM/NfWmOfNM4u6rW5Mh+QCNXWqfaZSopZzJUtAsFr8rnRyg4ZBZo+vDPig1W8s/nZUN1gpSTWTlrQwNWMhjuwRq2HdJIOaVij7wnTcpJnNs8r51ZFHq4EBMcMp/PvFnISeOccCfx/HzT+JnAiFW4se9H8SgwbFDw8hQpd2co1q6T+9IcKadVef7+CZznnjns705VxzzuwT5fMGbFGIFhJOyRp8bJdiyH81vDc4126FLYcqWxrj0PzZJyl0rf1hP5BOQGjnwC8heOeDxOX/va1+iWW24hu91OGzZsoA8//JCIiD788EO66aab6MqVK1/4nRUrVlBraysREX3nO9+hm266if7lX/7lCz8TDodpenr6z37v559/Tv/2b/8mf37zm9/QTTfdRKEOBGTeGUMCjeJnxqi4DQs/9/Pb0C0YQTAfe3ocVasxHACBYRy+ngQ2JeUEkhNv3KysThrUFItT3RJsIPbzSaq9A0FhcAibQawdm1FgBD/PAWDtUlQoa5ZjU7MfxMFQvlEj14NzqPL14YDwzhhSgY926BKUcUU03IODrXAvNufoDgR40R0IBEID1mEV6sez4BHdgXvjCi93e+wHNKpZgYSAD5eSVl2qeq4MAqyiXbqVFPSgelbWYiZg5u9zYuC4MI+qfBsqa1WrcUjULlORCGzFxh7pwkZZ2Iv7dc/rck2V6xDgFu5FQKscz5JyJkOuB+eodItGyt0ZKm9GoKCczZBD177Q4Sndgu5TcRs28WgHuj7eWdxf7TKVyjdq5E4iqCIiCu/BwceVQv84nnPtHQjY5ADvxL1HuvA9hXvRBfPMIXjmBLBgDAdjYNg8tDoR8PoemSFnDh07V1qXhCs4aHZfhg3peoX68GyqV2Vp8u07KbpTl8/xT+D9lLVoVNaCg5qD1KrV6MrULMd8calWtTPUZyYzPdZBWrgXQbErrZNDR5fKoaMiGxzE9dcuQ7D46kdOqluC+VqzIkvupI7uyfEs2fdb17KgKU3RHTot9o1iXm3VSbknjeQ7jXcSujyF57gZhYFYu9UFDO/B9/oncP3eWTNRN/DMHQaSzOJnxuQ+Q334ntAA7q+4zeryBUYQOJZvxLzxj+N9K6dVqf6GBgy6LTpNvinsJzXLEex55rDGPQldkiblnjS6ZmYyWrDPkID6+lG3RKXqVUgOwt1IIKI7sZ4qNmhkP4DPiO5EB7O8GQlvQ1WCSrbqUgm33Zci7wyCDv+jcSrdoiEgP61SxfMjZDtkdksnDJlTjgvz5MzqVPTkhFSqwz0GOhp9WLOeBBIy29EcOQwEiaEBrMNrV91UsR7XJHPuwTkq3oZ3Vr0yS8rZDLmT6Jhcu+rGvjRryHv0zhjSoSsYw3XZzyfRoT6ck2dUukUj2yGNQv2Ye95Zg2yHNASMaQTV0Q50+wrGDOr4+y3kyujk0LBvRDt0WvRyPwLwg0gobedS5J43A849uH7bEewTDl2T7qrtSA6J5JkMihenVTyTQ5pU/sM9KAbULM9inzY7Zf5x7OvueQSUse24V2cW1+afwLMs3YyCg3JPmgr3ml3dNp1uV/qosBcFAuWetBSdeO3ZjuWo7qVBIiJa98OdpNylUqgf85wLS8FB3BsnGNxFaqhO0MLGNIX6DFrYmKbwHkOuTzmZxZn5yAwVPzOGfX3O7FydUim6A++Y1483jnMq8Pg01S61roG7W/5xPMcl3+sh5WSWbMdysjcEB5GMcfff/2icXCqKaUW7dOkgx9qxZ8e2I1GtXJujgn04U7nLHRrAGqrYgDPadgQFhNh2XdbchV8W46y9LgnwJNCx4+fhUrEevTOGdP7t9yepfKMmn8kJNn9PcRvu1ZXW6eh7C6h0M9acdxbvrLAX894zh45YuAdnvf0gkBe81wUHcVbUL0qh+LEFz4bP/+CgdQ7ZzycFfcFnUmgAa6N2mYr7M88/7wy63r5JQ9ZRYASfx/thwe5UPgG5gSOfgPyF45lnnqGHH36Y3n77bXrxxRdpwYIF9M1vfpP++Z//mV577TW66aab6NNPP/3C7+zYsYNuu+02IiK6//776a//+q//5HObmppo586df/Z7/zvuyU033UT+nhQV7sUmH9uuC8Qi3G1W3CZRpQl3o6rN8J5IFzaxwAgWtW/aPCzNyk6kCwdfpAsbtu1YjmqXqhKoVq9CRblgDP9t349gwplFUO6NG5K0RDrNQHsHrscbN+E7GzSqeH5EAp6FDWmBCAWHEEj6pgzAy+5PUkkrgnrHhXkK70GlKfD4NC0OjFFZCwKZ8B6z+jJsJSCFvagyRToR+NYuU6VKHRjBs7IdzlFZiwYIUQ82sMJeQ5Kt0i0a1SzPUtVqbKQOAzAa35TVkSluwwFRuTZHoX6DbotMUWDEhISYLfhwNzbrwIhVubcdzlFDdYLKmzUEkH34fnfK/Pt70xTbjiqT/m4jlbRa79k9j0ST4TW2+1LkjRuSVFWtQTLjupigklYcRNWrUEXlKhcRUWAUhyFfu+1ojmyH8E5dKg4hhpNw9d87g+Aj0omDds1rnWS7LyWVMn6H4W48I5eKn/NNmh03M9jjA987Y1ZvBwyBMPABHO7BfA4NmF22KYM8D82SbxrBBUNiojuQREQ6LahTeTMqvJxEytw2E2D/OCquxdtwEDtVQFIK9uF7/eO4ViKShNq+X6PXPnKQM4dnGBxCBTHcbdBjH4TJP475zEm5Z84g18WEvLOq1TmqXIt1Zz8IqF50JwJN2yFN4D58eCp3qUg4tmENOR5I4qA/pJH34Vkq24T1bzuXItsRBAHulNmJ2ok5bTuSE/hk1eocRXfis1wZXarztnvTZDsCWKUrDehXdIeZII9g7QaGsYe4k7p0x7gq/cejZKsJUenQ6dIvY9RQnaDACJKA8B4T6jmI4kLBPgQ3pVvQuSndjA6hb8qCvRXtxj1xkBHuwftd0IRnXdyGdxjuxv7DMMjAiBnknlJpweIM3nMWXUtO2jkp8k1jLfknDCkKxLYjafLMoTPFMMCy50Yptl0n5QQCWuVsBl1bEwLrTqEIwN0bx4V5Uk5mKboT65mIqGyTJgUih2Z1ziJPjdNvf3OzBF8cXNcuQ/JuPwionu1Yjoq3Wd1G7mBVPj+C+bVfo/YfbSVv3CDnhXlS7s4g4TmG7o9vGvPMoSFR4aIPFxm8cawx2yEkZa4H56R7zoF70S7MH56T7qQuCbRyWpWiknIyS+0/2kq+KST9gcenJQHnwlVgBM/OdhRJiPfhWSIiUo5jDw2MIDn2zOEaYu14Ftz9LdiHueGN41qU41mKdFqFmOAQ7ndhQ1r2EndSly6rO4XPCXcbkiQwXFS5Gx3r+kUpql6ZpaJdCMobqhIUa7eKcFzc43nkn8A7ZXhvSSvggd5ZQ2DHngSuoaE6QXW3Z5DIHMUeEe3A/hbqx/u0HcKccV1MoEgyaK09hlsGB7H/O3Nm4pJFl5qTWuWetNWlGjXX9gjeQazdOsd907i+0IDZCTITUHcKa4K7X944EouK9Tly6EhgSrdoZLs3TZ6Etfc6VcQhse06lT67T9ZGxQZNutORLuyH4W5DIOMMeeUCjSuDeVq0G5BaLhwU9uJ3yptx1nCRLzRgUGzDfD4BuYEjn4D8bx7/8R//Qd/85jdJ13VJQD777LMv/ExHRwctXryYiP58AtLY2EidnZ1/9nv+XAekeO082Y6gyh7dicOe4RX2g2Yl7VyKPAmdGmrmJdiuWZEVPH9ZCw7w2mWodnOQzLCrxd4RKm7TBQ7FcB7GNVetyZF9v0blzYDpcLDIfInAKDar4m26VJ5LWrFx1dejsulKA2/tygDb7bgwT75JbGB1twOjW7YJgUl0B+7T8UBSAijfFKpX3LK+Hg7iSeB6K9flUBHdBdiBb9LikwSHzI0sjUOhZjlw75Euiz/BbXT7QRyY3jiqLKF+Cx7ljWNzLuxFhTy6UxdInHfW6hopZzPYXB+fJlcagYV31nr2Zc/Ti72+AAAgAElEQVSN4h3MGFKRF/z+HOAr3rhBBY/FKdIJrDzD1wr3ImAN9SEZ8o8jyHealVDHA0lULk0IGBGR7SiCJZcZJF276iZnDs+paJcuc4yDzuJtCPAL9uG5+KbwHmLtFswk1IfgwzeNe+YEyfFAkkq3YN555nC4xdpxbbZDqNw6NCQB4W5DunO2c4BN8KHvzCGxLd2Mg8uVwZyKtePwUu5SkegMWxwVfpcMvwn1W0lrzYosLfzOAGAtRy2cfWAY10BEAs+r2ACoWXQHOi9c3fY+PEvOnE5Nr/QigDYD8+hOiy/hH8fhaD+fpOpVwPHbjgJGwAdrtEOXBKV0s8V5CPVdl9RNYa5wgFGwD52a0i0a1lknAtLSzYBbemfNhPUAugeFe/HfrgyedcXzI/JZDh1rufXNbVS6BYmofwJJn30/gj1OrMLdhryfPx7KCQR/ytmMQAW5WFC9MitFktLNmhQKGC6l3KUKBK9sEyqe3F2MdGE/8M4awvOoXolOi/PCPBKREUPge+XNqOw6s7g/Dpwq1ltBeGAEnSWHpsue5cwiqeNChSuDwKykVRf+SVmLJrAoz5yZLJoFB1cGQTzDWCo2YK0wdIaIACkZMSQhZvil44EkObPmvm3CApW7VOkYMrSxsNeg8BOTFGs3uSjmNYf68Vw5IeW1UbUGvDn/OBIL5rQV9uIzpah0AMmb7b4UPfFhiGpWoCtSuTZH4R4kENxhZUiV/QD2Bu4eOS/gzKldpqIzktMpaPI+SlqxjmPbdVqwGPthqM+COS1sSNPC7wwIV0Y5rQpHr3Avfm/hdwbIN2lIl5o74bZjOUlyHYYm69OdtDhbTbE4urKT2O/5etzzCHxLt2jStWdYqn8ce5sngWRmUe08eR+epfAe7B/lGzWqW6JS/aKUzIXAsHUeFOwzE+EzGeGqFe2yeD8LG9K0oClN1auQ0NruS4ErM4A9zH4A5yzzWJh/WNhrJSC+R2aodIsmewLvV964lbhHOnEGl7VgD/dNYZ0w5KpoF56TcgLQ4cp1OapeiYSoZCu+05NAwhztsIo+fD76pk14dR/uu2g3uhkLmpD0OLPYt6Id2NsZWlnSaiau44gJapeqVNJqcTMDo+YZdADfF2tHcS/Shfgi1IdrL27TJSku34j9xqFr5B3Id0Bu5MgnIP8HRmNjI3V1df0fhWD98WAOiGtfioJDIMBGd5pQq106PfZBWPDrrjSIxPWLUuiG9KAyEu4x275mYsBcgXAPDqCyFhwmkU7gqRkq5NBMGMVuHBy2o8Crlm1CsFq5LidQEd4Ewz0IwphnwFwO+wG0ZxcszggptHplFmS+FIIQxnxyEOV6cI7cKSQAgVFsxAyL4gqo75EZeVbRDqtKzRCV6A4E0kW7rM9h2JLtMCqKxW063VY0SaEBgxYtBFnTdjgnXRrmuDizeM6x7ajERHfqAjuyHQM/QjmtCpeDr728WZPg1HYsJ9Ch4mfGKDhkBTzhbkM6BMwjqFuCajgHE8rJLDnNqnX5Rk0OLn6H4ScmqXItYAFc0Yp04hAlInIYSBhsx3ICkSncax6OabNaF8e1v/6xTQ5zh4Hg9IVf+ch+AB2ckq1WsM0E+uJtJuzIrGAW9uJ9MozLnTRJ6ya223YkR7b7UhRrx7O0Hc2RcgIHWclWvG/vDALTwr2GEFbDPahOFu3SpTvhnteFr8PzMzho0KKX+wUbbd8PSFNwCEmkK4N7sB3JUd0SQC6ISDowJa3W/UR36vKeKtfmyD+BAz3xzlLpeJQ3A1rHkIXibbpgy69ddSPRe3KClFMquBUnsU7DT0xS1WrAZvzjJvE4aeHxr4fH8FxyGJrch38chzsHaA4N1+KbAh473G3Q3f9YRZGnxqWabzuWEw5OpBPJMePDS7dYQhaBUVRgGWYS7vnTDoh3FkEuQ1CcOZM3clolT0IXQrX/0Tgpd0MswnYsJwEQd8m8MwY1ls9SwT5zzvSaVfCEmeA/kKRFL/dT6WYUCUq24v0X7jWr4GcQjHoSOrW92UbupElQ7zQry30mLCduiT7ULMc+5LqYAHzolAqu3SMz0kEMDeD9ulNm5f4cKuPBy1MCf/JNGsKx4GSe4VVEJAFfcAgBou2YydlK4zOvXXVT5bqcJB6RLsy7UJ8FCeXugnI2QwVj+H++SbNzcQyJwoKmNJLaSSR55c2aVK8XNKHLyl0N54V5gaVdu+rGXpQ2A77TmGvVq7KC17cdASz2tqJJsh21eEW1y1QKDmJeMq8p1G92SC9Pkf18Uros3HnmzkHRLosHQAQBiIIxrHmGYEa6dGqsnAMHqU0XqE9gFGcLF7cKe7HHKMeR8DfUzJNT1SWBu61oUgQiylqwVivX5YQzxh1EKbCZkEE+Q/3j+PxIpy7cE+ZyVa8ETLdqTU46rk2v9KKg14dzo/iZMXLPY5+8HlZX3IZuTM3yLDk07EncubHv1wSCzCIZRESN5egM1y5V0bU5paK4Z54PHJy7MroIJXBHieGz4R5DYJAOTRdhBVcG88o3hfXvm7Y6/95Z/G5JKwoa9fUpSejs9yclGXensC+H9yDBqlmBwoFvCp/FiVJhr1VAYGgsFx+9cUMSH98U/r9yT5qqVoMrVdyGJIlha/5xrOlgZz4BuZEjn4D8bx6ff/453XrrrTQ7OyskdFW1sND/+Z//+d+S0B988EH5mc8+++x/mYTuvX8fghwzqFVOZLEZPDxLkU5UHVb9oAsYeLPSzomCfwIHjSujC8b12lU3hfpwIHGVtXAvNlE++CrX5ciTwKZbsT4nikQMKVLOgkjLPA4mksWeHifbYQSS/kfjUsGrXpmVDZK5EfX1KXQ9nhuVChQTmfnwjHQhCK1ci42dcc4FY/h3HsEhC4pUukWj4mfGQOo1cbUlW0GAbahKCJyovFkTQqYnoUubmitGDCkLDCMQcOZ06QYx9KdsExIiDrCLnpwQOBJ3Oop2WypOrgwOt9ItCOS59cyKOp4EKskVG3B9TSVxYMv34f44gPfOWoHJ9Spd/nEEDcEhVKWcqi5VWO6aRToRhNiOIIHwzphB09GcqHCF+g3B9bPqGfMqKjYgqapbokonJtqB76+7PSMBDosKxLbjgPNNGkJYtp1LAY50Pik48uhOXOvAT9eRcjIrSURgxKCWN9rlwBIia9yE9TWmqaEaB+m1q25A8Z4aB4H+7gx5Z/F8q18YloDHdiRH9fUp6rmyEeRfMyEmshKQsk2aCATUvjhE7iQCVlZqcmbN5OfSHClnMlSzIku1d+CZcDfQfgDdHvtBwKiqVuekK8HVVN+kQYtq56V7U7dEBYxt2qB/+/RbSG7PQIhBOaWS/aBGi17up9oXh0R5ynZIo9oXh4QsHLo8JXCb6E5dMP++SVPx7ZkxUk6pUMozcMDbD5iqafcnkRiZ4hJMGOZg+I8Hq+MtWGwq3d2XEgJ50S5AZ8paQHZe2JiWavqp92uQ1OwxvoDx9zwEpSj7AU3EHwKjSPaYd1GxHnjw6E4kqr4pwJJKN2uSHBe36cKFsx3Jkf18kpwX5gHT2I4EkAsWDCN16Brp7zYCX/5AkrwzhnRLPAl0Xkqf3UfK2Qz2tymrau6bwpr53acKuTK6dJiJiIrbdOFkVK7NSSc7MArYIsPH/OMIxCrXIjl0XUxAzGK/JmR83svd87guFqmovUMl54V5Cl6ekmIM7+EFY9ZezeqErosJKQ4U7sXzC3dj/Yf3oMDT/HqH8JOU49hPPA/Nkn8c78mTQJJXsR57Ez//wDDWeNMrvVIwYX6d8CaGzMLOo3FSzqBL67qYkGLZ7c5Bql6ZFUhveTOSjaLdSPpsh3PUUDNPJa2mguFqzI1YO84XV1qXLhB3+ALDSO4WNKWFhG47mvuCwl/tMlU4k9y98E0joShrwfnC+++i2nnwHU2uW93tgOfV16cw744CYuqdsbpTrox1vSVbdYGkFoxhny1rweeXbNWlCOI05wgPJr+XbMXfVa0Bb8ulmglYUhd+JRctA8OGdAyZjxIcxDVy7FCy1RJHkUKK2Y30zFkwVu6+lLVoZDuak0Riyfd6qHSzJhA/5oWVN2tSlOL5ULtMlQSzsBfXumhhUsj9BWPYx12q2e0zz+BwD96VQ9NFQKF6JcQoYtt1sieS+QTkBo58AvIXjsHBQfrud79Lv/rVr+iNN96gZcuW0de//nX6+OOPiQgyvN/4xjfo0UcfpXfeeYeam5v/Wxneb33rW/TSSy/RlStXaNGiRf/LMrz/L3tvFhzXeV/7PqVSeU3VueXkJLtHdDcajUZ3A40ZICaKojiI8wSCBEGQIEiAxDzP6Ln33pzEUZwpkppnWZZsy7E8xcOxE09xnNE+qbBO1X3PrVOl+u7D+tZ/Q/Z5uXUfVKVCV7niWBTR6N772/9hrd/yTwBj6XmcFiIFEaLhcTyAaKSlXKmjDkbKlo4sJAFzOHif/06/yAZq9xXFXO0toLiiUTywjOkIp63BBTzM4iccVCO1me2NKSmiS1YcyYDHxGQrNGMLjYkyDJp0uT72FvFzPI/TosXlhCxxHIeeP4PDMTypDWga3aiUkqkoTc3u86YQR4wX8yIJq+i3BGFqvJiXtb0vj59PvDAfeJRf1RwwHVlGRk9Dx1HgBt9YgpzkLkhB9bsxoWncjmK1bBSHKUlSvldWZKrtMTW5SGt2S1YtNf33O0H7uYzvp/IYikDjFuQ57gv4PimPod65oh8bsNAMvArJwyh4qK8unbKFbNbSkZUGwVvQ2uw0igsWnpxUBpY1lnhVS8jO2LK1YCEYGYIevflZyHA6/7YHUrRztnzm4XFIUqgFdl8wRbLhLWiSyu0cSDPLjlfB9UIR0sEZx+dTvxueGsoEk4cdkyOlNaXTKKaqO00xqJZOo0io21OUpi08gQKl7yeHlVIogtiMcyNBqWFFvyVGSjZllAU0bi+I10E01UN4wJefxfdQOgUkZ93eoujnaYZm47hhY1Zt+XQADduQgyH25Szo0D+YgU9KG6pdD9DIBxfwZ+O9KDpi78+o8KQtDaDvZUfD7s3reyoNGVjd3qIMAZKHMdl+459jmMD2OtPfyMgfNyCxU9ofsezIPDhoINwg1meJTCM0A4lZxWlMo4kDD49jssrmzvUwI5PYqqP4fbjp9JiWU9hpszfJX1IwrVoiRaw5aAq1z7iXVZXHUIS6L5jqyj9skILHW7DED1LZjf+UrKBJ8xawOTJuFCCXnMH1FVi0RdZIlHCiB++P5KLkh1O4ft9YUqu/2CL+reAcfu+K087ZWr8L973rhaLcO57Hadkyuy+astFJHjalMVyLtq7ot+Rcquy2RH7JoU75OTS6JSuaSqfPfW7Tee0HF7TEcg4bYnpkIiNoQHx5/P+hN4EXb9qaF6wtB07GHdxvgUU09SzM4ydwxjVvzqsHv61RSikVfntBJFSxU44nIn7CEj8G4RC1+yE9c11FIe/P4Lpn0Zw4bokcyJ/GP2tpRwPcUbeiIsN4v7X70HDJfaM/n9AMmjzKCCv6ce2Vn8Wfrd1XFKR6aAbPR18W36NxN6faPhkWYIHHxP1m3MnJ5i5xHOeuxzIFouKxTIE4hMchvy0/hwGe+6W03HOUVie78JysPgR1ArHCNQfw7DJuwefGZoJo+ZIVNJ1s3tua0+IDbd7sUAmNGwXnszmB35lyVRlm9VoCjokOoskhXSw8ge+6fjfuT4Jbwm8vSGPoT+MaDc474IBYn26ONOUwOogmnAQy43pBGmtuZWSY1rXegHyRr/UG5P/ni7kef/Inf6L+8i//Uu3atUv96le/kn/OIMKvfOUr6k//9E9Vc3Oz+sUvfvG5v+O//uu/1MDAgPrzP/9z9Wd/9mdq69at6ve///3/p/fBBiR6JC2a+JJVSyQmlDuVjdqq+4fdMpF/pnxOuS7pSdkyHo7k75NuxAkID4vyc3g4xk9aMmGu21NEloVe0TIPoX53UR423BwwhyE4Z6vlX2wFKWvMdvID9AO8cVtBKDYkIbG44u/hsUzR/PpTKG7qPppQra0agzmIw3EtBSsyjAf3ho0oLph5MfTTfcqXx+cUfGMJPHvtC4gM4321tMMb43mcFuITCUKxPksK95oDQCG7z8OzwklgYBENQMOOgmreDDM9qSTcaETP4LBtbYP3gcQqfwYTt8g785hcj6CxInmHKF3jZl5wg/6UpVz3s+J9IL4zdgoPCBaM0QFIlSgDYYNKQECszxLzY2DJ0YRTnsDJLgtHz+M0KE+vrqi6PSjEag6YMink3+vPoHAoG0VhQ0Nh/ASuI28ek9LgAn5/j20KfjI84Rg1qVdPHjZV8I0lweZ683gv4bcXVPwEpo0Xft0uhUvFe7Oq4eNxATd4C5bq+GQIDzD9nXIjRcwniTVKKZmclp9zKGrRAVzLxjVMoWN9KEwSxzWqMofiTrTOaUuoZR7bVEd+eEzV7wJxrOagKYb/2n1FZdwETrmlIwsZ4ig2GqSCEa1ZcVpTgUh+eWdeGfeAdXZdwb9PWlx43JZGpem5PMzxw/gu2+tXpellYVL70YS6/Y/1KjyJ+9Fb1NvTgjbf38Dv2tKR/aNzio0SqUl1ex3sLX1NoVnHIxRcsAVC4LExlaZkMrCIZiNxXKOcX8LZ57qfxZT2lRXJF+EWljp2j22q7h92g6r28biqOmLJAKHitCXyPW8B92RFvyU+GPejNL5frTVnQU9qXPTdOZGsEjXKqffPfvdXMMNfQXHme3lVpJq9P+5SSingtveh6fLYMIzHTmlU+VuLqn4XKFWbQlPKY2GbFT+pNfq3Qa7y5dEs8vugVM24lZeMksRxbH0iIygm6bEZ/OkBDE90PlNHzTIoiS/m4RO7nVON2woibaKUJ/b+jPJYaBKNF9EolE7h3Iz34vMifc6bd6SH3MZykxpc0NNrvXEPvrGkXA8zYkrf/T14IytO4+/klL36EO4fNiFybuvv0p+yBG1MyAbzpILz2I76so6xmZtpnn+EGVQfgsdsY3JJNW3Ji6Gav0PsFD57Sn4IOaF8kUbvym5LvBH0m3DjTy8RCYbl52yREMb68FyP91ryHdTvKqqOuhXZMvAcV0o5ZnptrPdnLKG+lZ9bk4+kIQOVX50GtSuFZxK9HMTi+jPYkiZ6cE94TAdVXt1pCoAldgqAE27t3OexhYmewXdSu68oWyQhzun779FvkzIM9RYw6Iue0RCI88iCoYfMl0Ud0tKRleFheMLBXLc1paRR5maccIPwqXUJ1hf5Wm9AviQvNiAloxlVv7uoKt6bFd0+18bVnZDqxN6fUY3bCqqtOa0Sx3HQux9BQsBNhXEzr6LvzklRUzpty/SY4W3GLR3ONqXzB8YdCkl1J0hLNHtFRqDvLD9rq8m/26VcV5BJ4S06D0PjFuQkrkum0Elo1nVdgfSldr8pZjvB2PY7wWyULVUew//Pg5CSGaWUGO/C49D9+/IwC/szQDVytduwA4bZ6BkUTZTZED/4TGweUrclR6NcsmqJn6KiXx+EbNQ0jYWBgxs25UTq0PRcHtp3TdpZK1ewft0BiZAOiWOuBn+ucQ3fZXgSmSb0CvheWVGuF4oyrTXuZcX0Xn4Ov7vHgnmak2fjNuQNNK5ykroxsag6PhlSiePOxHNj1SL8BjcKyvUQ2xQy2j2WKcF9NQfwwG5tzYDBvvr5z4XTPfHxaG2vN4/CtmEHDLyhWVzDFactCZCk/pfmaxLAqr82qZqegy+maQuM7zTIktjFhqziNCQpBCu0dGDazUaHUzU+7MvGMMVVSqnKY8520FvE7yE+qesw6TbsgFfCW9RUqvtZ5LHs1R6rAX1vamrXhk05kVHUHDRV4gNIC0qnHbMtm0bfKytoGHQOi8e01Oovtihv3lL9P+kEY/84isOqIygMidh1nzeV50lKZX65Wb67+ElLCEeUZpDMw0wTTkqbtuTRuFwriESuVoeP0QPzhy96DiRg7pUVIafVHDDVg9/WqLmfP49p5iCKW8o0ogO4n1tbM7KB8eVgPK466gSPkoDUtCWPwEctv6M8xnW1KH8/JZzGzbxsyOg94wSbgZneAgoY1xVQfUqnbJE80dPAAvF3//MrAkNY62Pg5oCb48+e+iWwNNGDojHei/fsfiktZwOL8baWtGramledf9ujjFt5ORc4FKBXpvwctmhlo/h93Odx37jPgwJF/HRFv7O5I32I743bSqKk6TlgAF9FP76z0JuLgvut7oTpuuI0PiuakI0bBRlMsRnzZyzxs4THP5+hUdFviS/KfR5DjsgIGu6OT4aUUghLLRuzRWbGoQG3dd68vg7PaK/fsDNEcL+UFuIZr8eqo5Zk0rjuZwUakujBPVFz0BR/nT8NiR2pUJu/PQip0ZCzqSZSlsb3xm0FCSt0v5SWoEKPZaoNm4AsDyzhWgzOY5MVGcL550+jIazsxtYtNIPBAwc+gdeXZdhUvwvNA1/ui6bkJPlyuE8YDBk/qbdeDzPK8yQl28/ggi3EO28R5yMJciUrkDtRclrZbYmMMHFcKxlmcW9t2JQTGAgHUmwqkofR7PhyoHH5M04zyq0MPWvxk2iOGrdDRrW2uYyMYPsT77VUz4+OyqbJuANyWGRI+1Bu58Rb5boK4lr84PoG5It8rTcgX5IXG5DYIZAlmFpc3Qk9uXGjIChHNgeVX50WFjw1pkxgNm7nVGhGh9w1poBN1DIZJgy31yP0KjTrFIBrD7nAIh6Y1YdM0VxXH4IJjgFjJGcYd3JiVuOEMzwBoykRl5zChsfxUPbYeLAxFMt1BWv8hp0F+X0bdhak4eKLmQrMzAgsY0NT3QntNBOP+eB0X9Ar6ntZbCG25JVxHQheX86STQvNtySpcNLfvBk5G2yqjNs5WeEzd8JjoUCgsda4XhAvBAPAYu/PwEx3Uhv79WSPDVhlt24cGRQ1aYt5OTypkcpn8F2ROkNUseuyJo59fUwppaT4Ds47AW87v3sKOnz6VgYx3Y0MQ/NMuQQLMhqly8ZsoWZ5bFNCKinPcD3IqGQXdL7EhBL76X91RdXvRhNlXCuIZpmbG/4MFmnegiW8eG5UfFlLqETRM7YUbTT4Mtm96qglUrfqQ6ZM6mkCZ4HHSbdSyJThQ7OjZhn+gUdp9cG/lEGzfcGU35nm0Hgv/vfAsi3SEvkdtA+j50dHxe9Quw+ehJLXliXbg3S64JwtU2VuBWjKJuBAcgkeZITMxmlwyWtI3Y6ecUye/NzKRrEZCY/je/XlHNkJ5VDUqEdGNBjgXla5HmYEN/uHr8CyI3tsbc0o43pBMlpqDkA2QQoVNeptLWlBirPA5pCFmz/Xw4zk3EQHbTFsh2ZxjSS7sI3gJoXXDs8Toog9T1KQaGRQkCYPo5khBrTqiCVQg5aOrPLl0RAxIT7ZZarnv9OvKo/hs6UshIMK93kUTBykkDxFs69SQBUb1wpCguN5UrKCIq6i31IjP9srMIzogC5aF5wNQvwkPmNf1lLN3xhV2z49IzJQj20KNpWSsciQ9kvkLHkvJGXV7dG6/TcXnSHAe7MqsGRLcF943FYt3xyR5offpXGjoFz3s7jf5m15P8xmKp3Sw5clW+5zjw1ZX/SMgzSnXDB2ygki9BbREEUHHNJd1VHcu4keB9LBItt9HttEyoUJyAjN2LIRcD9CeKkva0nhH5qxBVDS/GxO0PQlK47KwPMkJcMaXx5nenWnKcS5sjFniEdEMocayS5TBgDMyUn04GeVnwX9i4GExg3Q6ijlo28iOojzYGP1Mrbg15znXWjGMZCz2Ssbw/PKm7dEGsVQU+Knm7bmZSNRfhbXQWAZ9w036U1b8hgs6me08SKGE3V7iiJzDi5oeZhuzjmYYi1Brw2bUpLQ2AgyALd+F5qG2v2mam9MyfMvOqCHC3O2ULAat2MoVnEa13jTc/DDGdcLyvUAoJ7qr00q39T6BuSLfK03IF+SFxsQ73wauRQWpD9M067u1KtvnZBLU7NxEweI+6IpzG7iYJs35yVsiig9JrV6TDycw+O2rKvr9iJl3Vuw5AAJLuBQjfdaUiT5U3p1POGEckWGMNEJj9uylq7uNCWFteqIJfpSz2MktrL445/lQ4UhXZReuS+YnzuQuX73vYKVNSeOwQV9kM3bguXlZse4UVCRd+aFVFR+FgVdeBwFhD+N35lbmXivJqBoEzMf1NTTekyY6CLDWvpTdNCy8kDtdYIJiZJ0nzeddNo+SwLruLo37uREFhEZdmQEvpwlBXj8hJMpET+Jf4/ZAw078Tl5i5YQTvjfY+/PqMQHM/KwDs3gn736TwnlvoiCoeYg6FHui6b8GdK0aCRlrgixqZERTIJdV4uStstwxIp+jfLV2R/hcY0GnULRXPrWoqA+S1ZhUiUWMn4C3yW16KXT2vy7A0VvdMCWpjt2yhLyUeyUJbCF8nO4rnltksBFykxra0bFT1gSWtn/k04h3NCn8NlTvzSBZNHz+i0btcVkSZ8HJSK8L8Qg3ovJLqe5/jQKCn8K93vJa8uSiUFZ02dP/So8Ycv3Sy8O78ed3z0lIXPUrhN1Ghl2sjIomXI/SmOz9jAjNJnwOAqemgOmBHyFx/Ez//DFkFTqz11XilJYNXw8rto+GcZGRaNEac62ft2hAss4S3y6aGK+AAcf4QlbCHqREVu1N6YgR3plRfmy8JWEZm1p4pnh8P/8J/JbXA8zyrgH3T8LR+Zc1O43VdNzebm3mA0juRJ6o8MQztAMJti8NlvbMqpxW0Gm/vETlrr5m0YVWNLy0wyKXqWUABtqDmrS2W2EtIXH8dkJle8Yfgf3o7RMzI2boExVHzLV3X+sVS3tWXXpH1pV5TGcTUTp7v3+SZEIVXZb4gsMzdoOwetqUQrG6k5T/fx3/x3FsyYnRYa12bygw/zu5CQ0j1SoklWn4dvy6YB4qEqnbfkuWjqQC+F6kBHZmT9jCdb6//6Pv1SVx9AQUNuvlIKUWDcA3LSilwIAACAASURBVDpSpkWPTOwUzk1uJaoPATFv3M2J0dn1EMZ8BmwGFm0BajR9fUy5HmYkSK+9MQUowAzkcyUrtkiFaciO9WGbTxM38fWxU5Y0VMkuACcYSpjswu/VsAPp9tzox09a4pUjlpubKn5u8ZP6/J60hRRImqFSGCbFTjnNGpHxyS5IiitO62BTnZXSuB3DLwJGGF7oMS0Z8HkLlgTkhmZ0GHAv3mvVEZzZDAbl9UCzemgWZ17NAVPQ6U1bcF/zeo/1WUKwip+0BEzBZ3R7/ar899a2jAwLSMCqOmLJ8CywjOd44zYN5Fl08NL+yfUG5It8rTcgX5IXG5BIL9b2xjWsdj2a5FI2aquxv9sDesosplnl5/DAbH42p2o/mlClby2q3d/rwxRsAvjX0JuLKnbKkgkl9eQ017ovmoKy5Zq8cRvS02N9lvC+S6dxCATnbCkWq782KcVw3d6iED5IZ2pvwKSKIYAeGxOsin6NxLyujaIv5sVMGO/FgcNwu+ggisySFUcOkjhuSQq6yJ0KluReJLtMCbWKvjsnSbGtbRkJpiOL3GPqQn/OFk1r3Z6iZBQQJ8kpV9VRB6NbtweyJAYeEpNKdjm15dFBWxjxJauOgdif0tuXM7ak+lZ26z+3AnkL19EktQTn8HeQGlU2tkZ/3IcpoVJKNewsSJgd/RvMNyG6l6FwwTeWpKhKdmHi37Q1L2ZbJgFTXsGpFQOi/ClLZGKBReeBLQGFupCvOYAmWUzFOpGXJu/6XUUJz6TxnjCDWJ8lU3w2Tvx7gnN48Jes6MDDS5AB+l9dUcbdHCahGUv9/Hf/XQpg/6srSikl3hXiXRMfzEhQHrdPlJWVjcJUTvNtaAbUuVifs0Wp31UUak7lMUfuxuKCVDrjZl7CybgJZHHBxt71IKN8eR0OuK+ojDv4voybkDomPphRDTvwHo1rBZHhNeyE1I9bJKKxq45YavkXW1XptC3Bd83P5lTNQVM1f2MUvq9xSLR47//hi9sv4nubtuYBM9DTYO+TlCBHGXTIVHECHkqncQ1GB3Gv0ETOAEH+O6Twlaw4WO36XUWh7jCLwX0e9LvYKUs2FJERNO8ddSuyZaTRnCjgslFno8dtc3BeN9MPkbXEzA1ShJq25gVGEB2w1T///ivIsTgHWYtSShkv5gUyEViy1TPlQC8z08l9wZRz0nUV2+j6XTh7jDs5BCNqkzAHKsnDpkyn2RSEJ7R8a9lJ0CYSNTKC+5oo3JoDOBP7f9KpHv02iab3SUoZ1woiMYq+O6fqPppQxu2c5DiUn7MFsxs/ie1xSBMMjVt5EMK0zDL89oJIwBhwV/nVaWxkpmwhxn3r37ABcV80pZD0Fi15tlGO5z5vCtyBAwLKhSLDAExQRsSBWMs3RwQF7H6UVo3bCqpuD8hPPPMpL4uMaOy3xl9TOux6mPmcPIh42cAiGnj63oh5ZiBuW3NakPjJLmzEmzdDMlm7D79PdBDb8bJRW7wqzZuB1W3chnuY6fF8xXtRwJMs5roCGW/TlrxsgILztnhTCJFwXSmqzC83q8puPBsTPZZAXep3wePCZjV+Al4qQhk4xDFexFnQtAXDTG9RS4FHcV9WHcXwpL1hFe9/1BZZHDfRVUc1Nn3GyYSpPIZneGW3E95IBDEbxE2hKXlWcjMWmrUl5LJ2X1FV7lsPIvwiX+sNyJfkJRje4QzyHTIokoSC9MYSDtC3F8SzEVjGDe0+b6ptn57BinMchzkN68F5FHEeG5rn5GEcZL4spm/BBS2H0LKekKZYeWzzc/kd5Hy7L0AW4LrkTE6qjloy8Y+fdPwAFacxUQnN2J/LEOEUiXKi8nO2Sn44JbrQ+AlHJ0uk4NoDmXIgX9aSsES+PyIgab7nxNqfgRm15oApRX2ySwdQHdHmNo1M5WSv6ig0ua77WdGHR884qOLQjK02BSfFyMxQJTYZ1EJTy0xcMPNZ1m6FGPzY2ppRdR9NCIaQsqfqQ04aMQv86AA+06ateXmIMuSrbMx5qIYn8bCODOFBWvrWojKuF9TyL7Yie0QjLTmZDs3gIdnyzRFp0LyaJOZPo6hicBk9O9EzmIKVjertzZAtzPuQxltu2AgdNnX0jdsLElYVGcbDzJfVtCktowgu2BLq5cta6u4/1sKcrrc6lB7SDF7dieajbEwTsPaCjFU2imuhdh8KPmYRhGZtVfzVM7KdSB6G/CMyZMs0zpvHd1r70YRKHLck4Zt+FRqF2ay2fTKs6vZCp034AalxNPRKQOUhyAPdL6UhS5vF5/rqPyWUcSenysbQzG/79AwyI7QRtmwM2zb6rxi2Rh8IA/08JpqC0JuL0hB5TJihaRROHjYlIT7WZ4lExfM4/UfnFI2r5ec0+ebtBWwO11wLbFKrjqBQNm7nVOaXm5XHMqXgYzYBG8qSFadhZU5K47aCam3LyHSeYZ/RQVsyMEge4vceeB2ZCcbtnBSZvldWQBY0cX14i5BX0ZsW77Ukz6HqKM628NsLQvlhpoEvawmatvNve4Tik+xyfBlKKfXZU7/ymJZIF1kUUvbD65ZNcmDRCXhjsrRxA1kT3icpVfLasrrw63a1sWoRPrIHGfgmlmxBA7PAjJ/ANdzSkZVtAn0H7oumk5p9NyfXY+m0rbZ9egbS3DdgzKanyvfKinKfB7mNmRuV3ZZcB8ysCSziPmhrScvwh5kj9CZGRvDd/fb3X1FKoVEz7uTkrEx2wXPDLZT/1RXluoRrxnW5KBvIxu0FKWaZMh8ZgnypaUtePD9MDg8uON9rxWlL5M2tbZAa8t7ZsDGL7ZXeqhARSwiLcTsnRK/W1oxIf8tGNVlyOyb8koE0hWFe0xY0jsbNvGrYoRvGq0U5J10vYGhRdcSS97vWAxJc0Obtl9IyJGIzxs07z2DjNraH3KbVHDRl8xmcxzlOSExkyAkX9FimJM23169KaC3hEGzeKbPj4LDqKM5B15WiNHbGzbzAZ3x57YXcb4ps130eG6NEDwYJ3OoxE6SlI4sIgts5DK+OWtLwuC+YknRfOmWvY3i/4Nd6A/IlebEB+WtzVVUdcVKd63cXpYDhFMX9KK2SH07BBHbMKUj8GZ2QumxLyniiBwcWA4OIcU0ct9S13zTLKp4bheCCE7ZEDJ9sRHROB9erTCBvfjYnh3zlMYfHX7KqE6YL+L/hcUwSuaURTOdujUk9id+leXNeKC61+4rK/+qK8liOHISBT/FeHfRkgw5DU6XrclFwnpTy+LIw4rU1IZCLn4lvjQSKCb/U0DL/ItmFB3dgCVsDZoUkD5syHefKnTKg+l1oIht2FlTFe7MSkGfczanIO/MwNectyZDo+dFRJEoP2kKNqvzqNDYUC2h62htTyn0RD1FOwfxpFBMkDfm0bp+aWhoLiScunbYl14SoYtflogSkuR5mpLDj9L1+dxHmay3piA5oKdNlZyMRnNOypUmncfKnHZpW7JSlen/cBYyt3tYY17FZ8eUsteXTAWSDPMxIGKTrkin+h7o92sOgs0bqPprAZmA/HrCkhm3YmJWCMzSLB/2mvzkrTVDiOKbMzLhwv4QHc2TYkQEG31hCdk1bRhm3UIzRvGtcK6i2T4aV634WqF2NhAzNOGZ8TnLr9qKwiAzhgf0Pv/8LIVIZt3NSEBn3sjK9JHii/ByKg+ZvjELSpSV7pASR1R9cwL1et7covhg2Po3bC1JkGDfzgn3lBtWfQop11RE02iUr+HPlZ20x6P7hy5ez5HzyFiwJ0ix9axHbI31+GDcK8nlyYxUZwT1bdRT3OkliNQecILrqQ6bIFH15S535Hwdh1O0HYIIhjDRlc5vBDSEDLMtGbZGeBRadTARmDrnPm45M7U5ONX19DHjck5ZIcDwWNpu+l1dVvBfvl9sPNs7hcRTxGzbh+1QKmHB/Rht/NSaXBRabSpqX63dj09P9w27HuDuLs5NbapKbjGsFmWA3b84r1wt4NhAlPvfz55Uva0lYKWltrqtFgUWEJ9GQ0fjOAUHs/RnJWuDZabyYlwaS4YjMK4mMYAPy/Hf6VdkYCl6Srrghdd3PyuYpMmTL5s+4B7oai1xvAWcgp+TxXgyzKB/lhi08YcvnRe9h3d6iSvRgox6ecNDK4QkMjLwFjaIu4toiFKWy28H0BhfQIDV9fUwkd9x4cWC1sXpZiI31u4oy+ONzks0Dn3PNz+awJdyP/1BGVX4O3yXvg5JVDOkSPfjvlIWVTjn33lp4h/uCKUnqJSuO2T88YatNJePIDRvWzcpJSxDcTc/lpVkiqY4+wuAbS4Lk9RYseR4zi6t2H56Xrsv43Oi1qT5kiuzLuA7gCxsGIp+5vSKhk8/P2PszquagKTQwYtpLVh0lAYEtZWP4d2v347uhLzU8Yau/vrmw3oB8ga/1BuRL8mID4l5Ni1Sndh+KnuCcYywNzuHgq+xGsR0/aYkB0bgFzKLrSlGmsbX7imKqC845+DzXJVNMktTml05prvdry3IAl6zYIlGiHyV5GLQUfwqr2dp9RTEw1+1xAu48linpyFyzl06jCeGh5k+hEal4bxa0E0274ASXxRupRUpBBuJP6WLyZl70/5XdmKAQYVk6jd+J4UvC3H+YccKS9GYm2YXNTuUxFMacJNbvgvmZEz1OjMvP4SHT1gKdeFtzWpot4w7M8dWdkE2wkYoOYpodHdAkrR0oAoJzthBVWNhv/vag5KkY1wufC47iBmgtbpm5FZSquR5kEBamJVXhcWi44734Dph3QbwjryMWL9y0lJ/VxlcLvzslMZxyR4Yd5Cr17Y3bCmISLllFIU/pCZueqqOO6ZAbF+PFPBrt/fphtAITdfOz+PkMByxZsUVvvmFjVqRhJSsoXog1pcTAuF5wUKy6IWJmgz+lUb+mJenRHXUrynW1KAGI9I2wiKk5iOaRDUqZDuakh4Y5F9FBFH01B03BpdYcxLajutMUeo23iO+QUkX3o7Sq2wPZEq/j+Ak0wJvC0yr54ZRq2IlJav1uNF2hWVDNKvot+d3XggPoHWEGD7MnFn6+HV4fTZJiCOrv/udXVKzvjyVYNJpyWs8MiOigLenkNQcciVHjdphuI8MIF6zdV1SB15dh8v3apFDwOKkNT9oib+GWLziHvyc86VDjjGsFZdxD3gv9AdS707Q89NN9st2lJ4dEqEQPJEjeIrZBTVvyuCdeW1buizgjf/TvhooO2KrnR0eV+xGM9Bd+3a58L6+qz576xTjtvogBSNURfF7tDasih/OnLEEw83skYYh+gPrdSOgOLOMc5yav45MhaV5KpxxgRNNzwAA3bcWkmfkX9FFEhjDo2BSeVu6Lphj6fVq6Ehm2Ve+Pu4DYteBdYCp44/aCNK7Nm9HAdXwyJOTB4q+eUWXvzGMwMmer/d8/IXKokteWZQNPAhKvhcAizk33I5yXSinJ1KGnj58n6VMeG9JL5hAF53GNVZxG4yi5UgVnK1M25oQ7ytl4vSDeq6YtefGM8TyjUdt1CWZ+opADS8jM4EAuNIvPJDxpS2J39SGcVTSok2THsFx/Bo1c/IQlW2I+wxkGGxnSGU/vzEPqdgIeOr6qO3H/lqxgQ9HSgcaOz+yaA/jn8V79rJ2yRbZHuVzVUUsGLRwEuC4XJf299K1F5bFxPm/YCKl105a8bMgCyw76lp6jqiOWNEFlmpy1+duDeL7czQnCnA0bvy+GoTIEtmwUzWzJKr4fyjz5XXHQ53qIwMf63Ri2xHstFV5PQv9CX+sNyJfkxQZk60c9sq5P9Fhyg1KeQIwnaTh8mJZO21IM0zvA1GU2EBWnMUVo6ciC9KL1uTShV/SD3tK4XSNmxxxkKGUCFacxkZr++52QbczisKCR3J9G0Vc6hYyLklVn0kOdp3EDGRp8qEUHbAlwIkGHiEY2YmuT0Jmua1xD0R0ZgYQgsIiivHYf1viJHvy+9bshmWJRWTqtgxRXnc0HE9Fr9zmhcY3bcMiVrNjq+e/0i9yLCbacFlPmRtqKhLP14Xfl9+a+gOKVBmQGKo78bC+atksg8FB77nqQcZqlSR2EtoyC0rgDY6PrBd1g6iLSn0YR5M2j8GY6tetyUd4/5UwlKyjsqENPdsHg2bQ1Lybxuj06KXnOVnu/f1IkejRPXvtNMyand3NqY2JR1e3BFDBxHMXFZ0/9KrBoi6yJ8sH4SbznDZvQbAYW8SANLtgiQazbU5SU7KojTn5M+Vlb7f5en/gCSEiKDNsSIJbowZTcYzq5OMb1AnDVWu6glMIU/J15VTaKQtpj4h6gdCp+0hLCFP03fAAz5JJUM29eZ3eYlphSaw7iOmPic+ff9kB/r429xvWCTCqNW3mh1bU3plTTlryyft0hSffhSe3n2I+ijgVj7NSagkBn9RAtXLsPRlBO2yPDTqHT2pYRMlj0jDMlppl2bRYBX66HGVX70YQKzqGocb+UVk1fH5MNDc+djroVXI/aH9SwsyADgZJVJ1HeuI7CzpdF4VOy4qRgU05DUAU3ur48iqmbv2lUbZ8Mqwu/blfGnZxIT+lDCr25KBNZTvcZVkgcKymAnicpFEUaN3rkh8eU+1FahWZt8aaUrGpil0Y/c0ofGcH7r3hvVimlpMmnz4RbAvcFU5rdwLIt52vJCs4+XxaSJwYwlo2iGa3ox+dFall4Atcm5ab07631etUc1Dk4p3QwqCbquS6ZQilMfjil/K+uqLIxBIvGT1iq7yeHhUTW1oygWCam+9MY+Hz21C9yn8btBfGs0BPmMTEcYtaDP6VJUyaai8GfHlBKKWXcAJa9rTktIYfNm7FtrN9dFGlTww6AFCpO4/remFyS6XvFaUsm7+4L8BsYd3Mib2SAZfk5fCbeAjDZ5WcdY3XVEUv8d/RPUd5WcdoS9G7NQVO8b7FTlmSgcLrP0Na2lrRyX8Tzq34XYB3Nz+bgt9FDicpjlkAfooO2yC+Z3dHW4sgf4yecJpShvR01y6pxewEeJy1ldl0pSt4GN0rePIY2/Kw4+KGUkaRLj6mHFvez0vA3f2NU0PEVpy3Z0LV0ZOWzqe5EvZE8bAremo2r64WiBBBXdqNuoJ+Ln6H3SUpys4hk5/OYZxL9SIElx49UeQxN2noD8sW+1huQL8lLggi705LCW9ltSZCWx9ZSJ120M4MifsKSItW4C4JSR92K/PPEcUvoQSSEcKVPkzIL+vAE8iJIMCFdg1QYBsVVH9J8dK2zpdaTK1ePhSIpuKANxJRuncKhaNwoSAGa7NJUKB225M07adc0rlPvyxf16nV7ikLjoPm0aUse+MpXVuSBQMN27T58pokPZlRoFs1ZrM+SzUTT18eEzhMZsWUyW7IKYgkbK3/KkgKMQWaVxyzxuGzYlJNwRQYoMYxu8u92YT2v81jiJ3XKrsaNsomKDmgJzQj8McbtnNCC4r2OoTY0Y8t14rpcFBmIx3SQvsbtnHK/BPKYxzaFSMOQydJpJ/vC/+qKYFDXmq0/e+pXLe2aFtaDqVblV6dVS3tWJCAeC41SyYoDD3C/lEYS/IAtBm/jGjwNxg0UL/TOcMJVux/XDMkwnDK7L2B7wI1gZFhnO2jkK829TVuxCST613UFeFY29g07QYVTCl6ZtdNUf9oSkyQfoMYdyAaSh02Ztlf0W5IYT2xo4riTeMzvkIjdin40C94nKQn1YqEamnEyIIILKIA9jwF0qDlgSoNkXC8IdpmNM0PQmNBs3EMR736UluwghgEGXl/G59oJWU5wHs0IQ9gIDCC9yLiT+6Nz6pn4gniYNmzMiqegZNWSZoNEupoDkIY1b85LgfO9f/NI405/TuP2goShNm+G6dW4h2vNdT8rtDDKY5q25tXO756SyT3pWInjMNlHzzh+rbo9RcmjaNiJ9HTmNbgvmJLATblOdAANw1pZZs0BvEdufSmNK31rUX321C+QD8r6OFBxvVAUk3d40hZJa9VRkLRKVmBQZ45FeFJPxnWGBTOMOj4ZUuFJXNcMNGRRzXuYVDSauimZ4rAjOK8nx9rITuN09AyaTQYqson0WCig+35yWCSADBINzdoCOfC9vApgg6ZG0aPRsANb0JLXloXcZ1xHE00KFuWbhHAYL+YFZ508bIov0biG654bisRxDG+4vaGPoroTviFSCnkGx3vx3CGliXKu0mnHWJ84roNdNa0wsIzroaNuRZWfQ9Hr1f8+cc7RM7iGQzO2NIxlY7ZseKMD+LPEFVOaSSJW5TFLKIauy1AE0IsWnFsjwdLn1saqReW+aMq9ULe3KL4MYrm9edwzfC8MeZTg2hNOCKIv56CCm7bmIcF6kpKhGzdSTVshQyZVr2RVey51OCQDBjdsysn1SJ8WPSqJ45bQuTiQMu5lPxcTED+BBpDhtETRcyBHbyn9fh5zfQPyRb/WG5AvyYsNyF/ZKzIxZDBSdAAPJl8ORRoNqZFhW7IFnqmYk1UnySjGLSR101sRHbRFGkSKDFfz3iIkJSWrOHC8eSdYjPz5ur1FaO0fgsPNB1v0DFbjbFQ2bMqhkM5bgvzlZDHeqyfy9zFFiQ6gaUh2YVrFg6Zuj8OHDy7YnzuQjXtZ1fvjLnngeWxTJA2c9oUn8GCtOqIP+CtFmO9zzjqfFKPGbQVJgC2d0oX/sC0PLtcDhEOSW186bYuplcWM63JR1e2F3pvsfaZ1c1O18VvnYGTVidORd+ZxcG/MosFJ4SHGn8+Jb9kYmpPIkC3BXMnDMNMa1woygeWfU0pBL72rKBNz5pH86N8NFXlnXoqBlo6skE44sa/dV1SuhyCGeR6nIWU4hAc4DZTcQHHaHjul6VPa00EpCCfMP/vdX4k0oqU9q771b/CbcHMUXMBD0HUFD2YGztGE7s84ab3hcWcjRy0+J9H+jCXmxdJpWxqPmgMwxPIhxpA9fxqfJ4ubwBKkhrH3Z+SzDelsDRpeSbyiDCU0g89g5Gd7hepF2Yt4euYcEhBNt0xn9mU1wlR7VBq3FaQQZIPsfgkSv/JzKAIogwws2erID49hmq6vFeO6Q8aSXINzttpUhkwQXn/EnTJXpKIf7yM47xhA//BlXC8Ixpim+JqDuBZqP5pQTV8fk9wW38uryn0Rg43AMjYuDAR0X4Bs6cKv27FFfUtnVBxy/FbJLlMIOJEhWwy43I7SyG7cykuqu8fCQMJ1pSiUPNJ1kl2mSK1cD9Dsul4oypaw+pAmaGlDOovS0KwtIZLRAS3DeXtBeUx4lwKvwx9QpsEGsT5LtnoNO/QkWctwBN+sDer+DM6URI/+d5Zt8TpFz2C4sPt7fcq4lwXoYtyW/KeS15aV60FGuc+DWld1FJAS93lTpGqV3TqwrlfDJHROSvLDKchKn8ATR+hFeNIW+VLlV6cR5qeLVs/jtBSmiQ9mgHi+kxMwiT+lEd0aJZvsMj8HAdn26RlJsFdKyRYisIzP2mOZskUkWdC4mccZfLUIjPK4Q5fbFJ6WTRaHABWnLfVMbF6aksiI8+dj788IJY5y3Yp+S7xXkWG8Tz5Dea8J5VCHO5Jsx/DLxm0FVf21STnLEsctUS+EZm0hb8V7cVY1P5uDFPRGQba09HWwWI8MO/de+TntH7yXxXfXhU0M5VFsOhngaNxAo83nF1UGwQVsO4ILtjTUoRkHL8zPsPLY50lmgWWcdRsTyAIxbqI+aNhRkGdRe/2qamtKqcQH8HZwG0lCZdVRJ9eHGR+BZVxLycOmbH9ifQ45jPehcb0gDTnP8tAMnlX+ifUG5It8rTcgX5IXGxDPclokN8nD2FBwMue6WpR8DO+TFDCSurgnOo8PaNKnjLs5KaYTPZhgeSxT9LCuF+DbcF3G2tu4m1Ouy9AXx/pwGLkugaHfvDmvPI+BISQFi0V9ZEgn5l5DsmvlMUsoRCzUowO2JEqTkc/JM1PLE8edMK2OuhXJXFi7ASkbxWEcGcJhxDT35GFTTL8s9sLjGot42BSzq+uFokhSavfhYRucwzTLn7YErdi0NS+NWvlZHUD1yoqskWv3QW4UHcAhXvfRhPzvJKGEJ1GEuB+lkdzekhbTXbLLFA14Rb8OmZp00paZfeC6n1V1e2EkNe7kVOO2AmR4enJd2a0n4G8uimzGl0XBwGTvpi154ajXHDAlA6ZhR0G5XoDUaVNkVh6w3BoZt/KS/Fv30YRshEqn9HRvzlZv/HNMNeyE/IMbh/hJS/47pRCcugXfWFLu89pH9OqKTEDXJi3X70azm/xwCkW6Tkv2vbyqXPcR1MmU3/KzMImG315QVUd14vAxSLC8BRTfTBnesBHymtAMrifjNqZ2dXs1TatgiT8oNOP4DbxFR7vfUbMs2Sj1u4tiuo0MoZD2ZbE9GPrpPuHYRwdsMZB2fDKkjBsFtff7J4U0JEFn78yLtMz1QlHkMK1taAyIYu6oW5H0aX8av6v7IoI4W9qzsqX77Kkfze4QZDZrMyjivZYEXPpeWVGhNxclR6DktWVV2f1/kGDdz8rmkVvRqiP4npgRULsPBW39bvzf2Psz2LrthMeJUjJ/Cvc5g9fYcDHhnnJJBqHWfjSBjImUli/qe+XgD3plSOHPaDNv3nLCNblNfpISFDnPAXprXFeLyriO76TivVkVWEYhTkllaNaWJvGb/xqA5OVyUbwYnDIrpURLz1yT+ElLQhT5avh4HI3RMN5H8jC+v7JRnY1z3pS8p5JVS7kfpSGL69Xby12Oty/w+rIKT+JzMG7DUO+6XJSNWeUxp8AteW0ZRCuNffancF/xfJBN43lT/Y9//2uAJjStKfA6QvJcDzOqrSkF6aPO4jBuAj3sy1oyyY8OaHmPJr91fDKk3BdNCSJk2Gx40hk0kcbU9Bz0//Feh6rI+y/ei3ucGFd/CgOSjYlFGd6FJxDeR1kj6XXxXjQiTc/lpSGt7jQFrV51BOdW6ZQtMBOG6JHAlDxsyjUVHrdVw8fj8D5q/LMv52DG+Qw1roMgxs+yuhPfNwmHNQfxH+M6MjrWzE5YqQAAIABJREFUZvBEB3AfuC7jTAzOO37MymNajr2EQQM3EAxH5T1FJDB9K8EFHSSpB0jGdTy3Y6fwH+N2DiGCWhpHzDUHVOEJWzYiRPZyw5TosYRiVzbmZI8RDxx8Ywn3vt74RYadc4z3Wnjcls0pm1oOE1iTRN6ZV39dWF1vQL7A13oD8iV5sQEp7ceNFp5wsKZMXebUpPqQKYatuo8mJLDPW4S+lbIO1+WiTDg9Ng5NMs3Lz9mgM007E42m5/KS99C0NS/FRdmYRubq6X500PFRuC7BC8F0Z/dLaaysNQ2FLP+GnQXIq3Q6NbcunGx+9tQvDyB/SpOKdOJ18sOpzx3IpVO2GAhjpyzxxLhfSivjDmg0sT5L/nlbMzS58V5Mh9gg0JzLtXrg9WVVc9CUwr6lPavaG1bFs8IUaaJP3echewss4qFTtwcFSe2+ogQ9+XL4PZufBVu/bMxW0XfnMEHaWZDMA8/jNCRvS2ukcjp9m+hU4gfpGWADE+uzpMhkYnzvj7tg+F2y5WFLDbPHMlXozUUJB2Q2Q+yU9iGcdNCuPo3fTX44hU3XjYKTej7neJL4IKJB3WOi4Q3NYoKW/HBKNNb/6z/+AtK+VUsmyt6CJXkK1AC3NaWUx4ZmvOagqWo/mkCTcx1Jw+4LjjmzYQf0/bX7imLaTBzHg7/h43HouhfxMKR0USl4QAKLtiTTN+woSNNi3MlJsjCJX5899eMazTgSLb4Pop+D8/hMN1YtOk1CCpKlz5761WdP/ap2P6Qq3iL+/sDry9hoXUfxQ9N6yQqyRyjhYihozUEUT9xAUtfN6WniOP5efxrTf0IlSCpzn8e0mdsRj41JbHQAmzN/Cg3KH758WVzPrvtZ1bCzIEWncScHeMSSLb4dmmD9GcckXN2JApS4bjYg8V4EKMZ7cYaFJ3HGVJyGwTVx3KHjMFjNddWhEY38bK8kTDPvhh61hh0FKQzpJQjO2bIdLn0LRLDuH3aDJPfyqgxWSKsqP4fv1WObQu8iNpwS00QPPq/oIO5J1/2sMm7nIGPSWTtKAdPrzVtiAmcWDD07lBjW7SmKVKyy2wlOLFnF++r50VGkQecsIbFVd5qqtS2jkl2Q6DAo1f8qwhirOzF4oVfof/+nV6bdwQWQoJhGXTZqq7v/WCsQDtdV5B4FlmyREDFtPbCor7135mW7Quxq47aC6v1xl2raAhKbV5P66INjOjhTskunbJGHMeel/ByeSaEZW+hzGzblBAvMAray26Fa8XsOzmETWnXECeHzv7qi2poRJNu0Je/glufws5+pmJNQWBbe/oylOmqw7aIxe+O3zsmZXH0I53FFP5rP5GFTGuXwuGO0p5+oZAXPt6at8DpV9DtDq+C8M3BjjglzXkqncK2xoeC2Pd4LfwwHKP6MJfcBc2Miw3j2soGm18+fxr3f3oDEdX9a+0+1RFV8eXuLso2On7Tk/G/pyEqTl+wy1cbkkvK9vCpbwv3fPwHa3yGACHz6+qffLDqIoWHg9WV4l/S2o/StRcdTop+tzHwJLNrKlVrH8H6Rr/UG5EvyWivBInqOk5KyUYf6E1i2RXdPTa73SUqmEIkPZsSQV37WMZ5t2JRT3gImvIElWwrRitOWBKDRMEb6yNpgMwYr8YCt21tUkXfmZQtC0kx1p6kqvzotdCvSLShZiQzjUCk/Z4u517iBgpLovrJRHcz13qyq7jTFCM+X8WJeTHEVpy35d3yvrKjmzXhIVR3BA8FbtITNXnPQlIA0bklKp2AMJkaW3piW9ixkN0sOIazlmyNiLnU9yEAypIlVld2WrMGpD67uRINC9HDg9WUJMyMZxvUCdNnhcVsQjsE3liS1vvysQwHxp7FB8DxOq7J35pUva0mTQc9IdScaNW8RxWXptM5Q0IQ0ysWo8/VlLdmyEZfZ/cNumY5RJmXcQhBVrA8PnXgvCrbafU6GCLXosT5MGctG1/gJdOIzoQEsqjw2miFuMsITTkNWvwvXmPtRGthUrTf2WCam6t2WkFhodvU8TmPdT+mbnkay2CsbswULrJRCc27i72ETwmlo7X4Tcg4dRhZcsIVaQ7BAcM4W0IFMNS1T5E/eIj7f+t3YMjL3o2QVUsb63UXle2VFPARlo06AHNHO3BTQVxHv1QFfxMBaptCnXFdw37DxcD3IiGyCBnzjWkFt/vYgMJe6ECCoYsOmnFDqfvm7v/yjcyo06xQCvOcO/qBXzMoMWnTdz2KzoVORw5PaE3TRlO1ndADbJE5NjesFNf33O6Wh82csB7VtoYBK9EBmVPHerIMVnsF34LFNtelvzoqkhoVhyaqlPv7XIDYROhvHW3SSl70FS/X/pFOVTuH7Cs45m2PXg4yYaCu7LQE0NOwsCPbYuFEQWZ5SSh38Qa8EMn721I9BhSa8ua5iKFQ6jTOXkhdvHltG45ZOZ78BEEjjdvwckX5qYhSvW18OsrnAoi1nOdPOfXlLGu+yMRSGZWO2fFeUF7ofpYVWVjptq+VfbBWQBD1aZe/MY0t0OyfnePwkzlaau71FS4zdrocZ0Pv+oNit6LeU9esO3Ht6CMFtCZvmeC+ancRxPNPYqPKMDM3YMnzxp1HQewsOGSs0i98pMoxnZflZfH/G7ZykpBPbTEoTB1SVx5DS3feTw3J/ewuOJ4FbI24omU9SNuoECjY9lxfkc/wkpGfPxBfEj0cvJAc0JFSVrNgii2rpyMo9x4EGhyAlry2r1rYMpGR6A8JtW9moztuatiVgMzxhO5v6PshZ63dhGGncyst1QlBI/W54YOr2FoVIVruvKFk4JF8ad3Nqw0Zso6sPYSDivoDPsXG74xWRjJ0jGLQkjuPviJ3Cz+VgJLCocdNamsasHl/eEtKl+yLOuESPfmatBxF+oa/1BuRL8mIDUrdpWR60gUVMywPLTuo3U1GNW3kcBJqKwaCi5GFTdKAsDoPzjh8gOqANhBdQHPteXpXpSWjWFkP4Z0/9wg2PnsEUy5+BZjjWZwku1biNcD8mn5aN2ZJO60/jQUuNfngCD46GnQVJe40O4mHfvBm/Cx+QJPv4U3jIlY05DUj9LhxWyS6d2vr+jIqMOAmplHBQYxqcdxLPGTrFTURw3hZNuD+Doq2lA16VwCL+WemU8/ALLjj4W/d5UzjnNQfxQOQku2QFv2/1IUyuOOnmwVl9yBQdcaxPa/T/5iz+bp0MzcKDSFey5Gm0px67dj8eTiTjKKWksPJnLHlI+3KObCTw+jJQxj2W5CKQW29cL6AgPmNLiFhwDo1p1VFLJHYVp1EAMTW+bMyZMhu3IF8LLDmkGhryXVfwHsITtqz8N2zMKs+TFCR+Gl3KdHWvntJ7i/h7aASnl8G4lRedPqEH3oImIi05dJ76XfiMykZx7SilJBmdIWilU/gumV9RcwDFPe+f+EkUZa4HGWXcQMoyiVf+DH73wBK2i7zW+B26HmQk/DM6gP+/+muTonVP9Fiq7ZNhZdzKy9SRE++Kfks1f2MUNJlVTBVLVnCtcpMXWNKBaS/m0cRqaheTo0MztuCqXfezMI6nHZJW3UcT8mcJnPjDF3HL3iKmnpTbcHNDyAFRsjUH4Q8gkalhR0H99vdfkb+HvojoIGR08ZO4JquOaD37rbxcQ8E5/ecvF4HGPW+KbMh1CSGe5Wfx9xIvyqwJ6ufdj9CgRs/Ysq0Kj2tM7pROiNZZIHV7QRArG7VlmOFPW/L9capNrKhxA9vH6IATQBqcQyFKiVHHJ0Oq50dHlS+P7zMybEtjSIljcEFn8lzC5jt+AoStyLCtWlszoun3Z3AvUf5EX1tw3pZGmufTZ0/9yp9xptr0c/leXhXpIaVgtfsQhOm+YEqq+2dP/eLTKRu1VeaXm8W/QfQ585OY4O6+aKqGj8chtTqqr6sFyIeVUsp1FV6zqqO4j4nCrTyGa5wAAg4suNVMHLccj9t5bOCbnsuLpyRx3IF7MOulbk9REOf+FM4QQkLivZZsG+lrSR42RU4mPol5FPCSG/IcEOvuR2nJgCLRKdFjyeaipSOLrcacpqxdL8DAn8MZT1hMRb8lpvq1nseKfjRk7Y3Y4nBrXH4OW5gNm3KCjW9tzYi3hYTG4Lwt/pzooC3Pl8pjliSphycc/2SsD/+8vTElCoP4SccjE313DkMdLXdjDtmGTfjcPLYpG7jwuPY16U1p/S5sMNzn8ZwJLuA8at6M77DqiN6638JnW34O1zyHPyWvLavQrN7UHLFUxeH1DcgX+VpvQL4kLzYglbtT8qBlarD7vKlcL8CQGztlCU2DYYXUG+d+tUkQg61tGcH3EoVbdRRbg2di88p1uahavjmC7crVohjmggu2SFLKxjSqTz8E2TSQ6BRYQhHf9FxeUJlMaG3YWZAAJtKxqo5YUtB5LJiaOf2pPObgfoNz2JIElm057CIjzoHctCUvlKzwJN5zogefQXgCq3yGLvqyKBA40SPBiFIa+hA4XWdQnv/VFVBlFhzTMGVsjdsLamP1skyQmD9RcdoSP8vGaoRnUb5GUpFSStV9NKFCM3iINOwoqLmfPy8IUJJv6ANhinnd3qJq6cgK3teXQ1HC/50SHMpm6ncX1TPxBWikM5ZsKPjQK53G9Do6oEPHbuWlkaFkjxk0lAuRLsVr0J9GIjC9IkQZl6zoEMheXDM1ByFtIiHGW7REtmJcQwFp3MnJJoSmx5u/aRQpReUxS8zy3PpRF+66UpSmkkVV308OC/nFl4WM55v/GlCuS2jEAsv4Lir68WeIEnVfQMFQu8+RbDF8rPlZZImIVvzFvPK9vAq/iUaAsgBu/saoZBR4bFPkCf6UJRPZWB8KLuaz+LL4XjdsygmJLMQQP40F5gaDhJ3mb4yi8blRkGm0ca0gU3RScD576pdNJnMp6NOp7jTFMLoWJx18Y+mPzqmag6ZQ3Xw5/H4NO6EfrzhtOUjQhxk0xXrLSvlV4jj+nD/jYFIjwzh7Kk5DqhhYxO8YP2nJdoGbBxZrlcdA0eE2KThnS3J6YFEHl+kMJGaxkBSWOI4iLjKsaWSaROR5nFbNz4Ie+L1/80AKtewkWBt3cpKeTgwpJ9ntjSmRWLGBMl6EtMeXtUSK4rpaFKJcyQqyUVpbM+J/c93HxJ7SyNr9pmSI0K8TO+XgX+mdYp4OUbWx92ewebybwxbmoul4+rS/JjqoPVWXHK9heMKW66Dyq9PYCulNqreIz82XRQFJiAgbcZ65bNyDc2jEScMyXsxL6KVSCrKlTlNyLDb9tz78nYOOb6W1FcGkxjV4zLjZqd9dVG0tjuTSuJ1Tld04j9obUyp+AubwZJd+Bs3YQtFj4GV43FabAhOqtRWeFhqmS6ex7SbNjPJSSvqqOyFfLFlFk+Ut4r6lvJHZGGzMmrYi8Z3NIaEMDTsd/0RoxpYsmcgwvmu+3BfQWFA5ED+BwpzexPC441eqPmSq6LtzamPVonxOVUf0+yxYAjgx7mVVW3Namj/XZTTs8ROWyPHYVFEqFXxjSRk3CgJZCc7j96zfDSJa+Vk8q0h9qzriePr4XC1ZxXnkuorvrfqQKchnpqoTT+8+j2uD6PPQDDxFAvmYtFXw7LoJ/Yt8rTcgX5IXGxAjn8JESptekx9OqbJ35lXJii35Aca1wueSeAPLWE2yiIgM25JU3F6/Cj/Ig4xISZq25iWFnL4M18OMoA/r9sDwXLKCiUd40mHBEwHJByglPVVHtdRJm8t8eUuwsv60JrDkLZl4+rKWIHwZyEVuvk+jeBt2FmT6H1xwDmSPbYrhveHjcdW0BZImFqeU0LBIJqqT096GnQWZ4jJYcNunZ0RiRtlKeBKTTxKXkodNoa4YL+ZRAGv/CI1+riug/wTfWJLpUvwEpqlKKTHe00DouqqD0sZ1Qzfo4Awpn3M9yKi6vU7RUDpli4mYW6tEjyUp1UopQAa+PibUpoadKOj4syhhY6YDMy84+fPYplr+xVaRATGJvOHjcRV+e0FwkqR7MZk4uOBM0zymJTkapW8tIo171ckF4FqfU87A68torrVZ8R9+/xd4QOuG3H3RlBBFbj+C82jkKt6bVaHZNXKJKVu2AsQds3E2XsyrjpplpRQY++FJTIirD6FoIiWOGwN/Ct8BsaH0R3BC734Egz4lPmzqmrZiUyUeDU1s4rYoNIPGhj/fl3dM4eFJPRlftAVlSQkL+fvuC6Y0DzT+k55kvJhXbU0peGOIstZ5DzUHwOqnVIXnBnXjxnVMZV0PM390TnEa7cs6360/hZ9PCQkpZa6HGfh78tjwhCd04JqWVyW7TClU4icttf/7JyRElMU47xNuAPnvM7ixYSc2vcaNAjaZLxTV4E8PSENTfk5vfC7huw0uOIGRpVO22phcEoQ2t3e890qncM41fX0MGOvLRfGpMSQyuGDLPVhxGvee6xI21LE+S22sRqgrzdDGjYJgd4NztrJ+3YFBkqYceYv4/bnxq+40ZehA3TtR3IkenJO1+wASodTVl7fU//qPv8BnfNiUf+bNWyLHqtsD2dHmbw8KUKSi35IsIk7Q3S+lBVbivqhD9zQ4xLhWcOAYt3MiyzJu51T5OQw4qo6iGY2f1Gbz45CaKQUTuvsCpDst7VmBNaylhXGTwO+v6oilNpXNqI2JRVXZbQlaPbCkfZNb8+I7ZH5L09Y8CvIsGt+K0/qc0veacS8LmtX2gmprSWMwogMPK49ZIoGq311UJa8tiz/PY5kOSnjAFt8H83mqD5lC2AtP4POg7Iuo2uRhbJn4mZWN2ZLAzleszxICH4E0gWVbPH383AJLOMe56QhPOmeXcScnOPPAog6ZHELzQmQ1h4T1uyC9ig5gK1m3F9ejcQ2yQI+FrWf97qIQxoIL+N58WZyLZWO2+EIDS3rro8/v+AlH3cDBpfsCag/XfWwqfbpWYGK8+6IpJM/SKTwfwhO2qty9LsH6Il/rDciX5CUm9NOY4K0NWfNYkEtx2sVQJNcLRdGI+3LaOPsiJtE8DKODaGJCM3j4+15Zge64G9jdqiM6yHAKuu34CUtQiCS7MEWaXPH4Cb2SHbGF2kHMJSfEkWHIDZq2Oqtx43ZOJvFlo7p5WYM/5eHELQuN0Imez1NBXFeLIgVg2BM3E/RehCdsoafE+vB+yR2Pn3Am8GyO3BchffBltUdGf9ZrE65r9+FBXt1pihSocVtBPRObF0nG89/pBwZzBhPZur2QgvEh5DExwavdb36ueAssoYGK9WkM5E00VcE5FAvhCVtyTuK92rypgwZrDuC9VR21xAgbXMDnwnTlgz/oVRurFtEYPEaWhi9vqWe9o3KYUy4XPYPPoeqIJVsYFkKJHjwUKNkIzaD48pgoGjZsxJYmsIjP35u3ZPPFJGviZN0XTKG0MGk4NIt/p/fHXZLiTdlgyWswn5LQFJ7EtqthB/Tr3iIeVDTHl07p1O5tBRWctwXxSy23UkrutdqPJkRayHvJ/ypC4WKnHOmKN2+pnd89JdJE10NMaEunbTX2d3sQ6KmlaYkemEJFNnkXqOrggi1SLuaVEMYQGdL4Zy2f9JiaUDXr+LuYoeO6n5UAMK/W2jOgknkPHlv7kD6YkXBC38uraGT0ZJibG+NGATIbTbf6P+WAUKtNNGv0jC0SJBqbGfK5+duDMt3nn2nenJdMh+bNkJ1FBzBtZ1PK/Af6JYgmrjmA4ql+d1Hkfvx+mp+Ftp7T18iQrX7w7y5VfhY/iyjTyIjt+HQ06KJs1BZwgS/vYLt5vfiyaCCYkk3qIGliTG3esAmfV3Wnqd79l4iqOuo0E8SAcwBAT1LJii3hbrFT+N48j9NSEDKosvwstmrMRKDcko0y/VufPfXj3Hx1RZrt+Ek0bvT/BZZwHbsfpWWzEuuzhFhHDLq3gOePP6MxvJYpzYo/gzN109+clQk/c2DYIDOINdmFhtW4m4M8UBusecYQH87NZ8VpXC91e4pq//dPAOmst23hSSdrg1IhfwrvzffKijKuYxvD86p02hYgAu/J6k5TGn/m4jD0kvj30Ay+07WZNLw32ay6z0NOzKY40WMJ6IXT/sRxXD/cKvtfXZEhXvUhU8JxY+/PKM/jtNqwMavaG1PKuOd4QPisY6NRc0Bvs7ot2fbJUKsbZzn9K2VjttoUnPzcFs2bt4T+RR8ONzL0TNFfU90Jea4vC+lVdBD3SsMONNI1B0wZYtYcNFX47QXZkPP79eW1B/VJSvJgIkOQXrsv4Ppq3owm1HW5qLZ8OiDo84p+/G7BBf159liSyO5PWar0zPoG5It8rTcgX5IXGxDvXFr509DEk2AS69NBeK+uyHSDUxfKKFg4ri24KDeoOuIQoWJ9eBjVHDBFFuR5nBZ5SGDZlgYh3ms5f8dRp0gNLNuie7/2m2ZBXRp3cjjkP5gRVnrZmJMi7U/pB+GTlCpZQaFCEykRtAxIYzI6JT80DSullHETU+TogGMG5sFcdcQSvWhoBkVkaMYWDr9xJ6eatmLKSc9Iaxt0yL6XV0XmVt2JBi92yhLMLVOkY6f0NH7KFu0+yTShGRQ89buKQvmKnsHDn7r0xu2gX9Xux9Zhy6cDIiGLDOnU63FHGx6esFX11yYxWRrFQdzxyZA89JiubtyATEopJd6P8KQtUhhimUlT8RYcbKNxC4b6sjFbKDzEfTKYkVuryIhjlgyPO3I/fwoTxsCyLQ95Eo6oRyf+ODiPlT7JV8F5fFcEL0jY4JAtBk2icZnu7H6UdsIS31yUrIbkYVNkaa77WRBs9FSORk0mxodmbAlAZPo8cxgY7Mn06cgw3itlRPysjHtZYE0HnYc4UZGUSVQdtcTHxcyH+Alsj3gPe56khC5G2RLljcE55H00bivIJod+JNfDjARWui+YAnPwPEmpyq9OSyr85m8PgtBWdKRXfT85rBLHYQx2XQFW+tI/tKrEBzOyTVv7Kp3SFKrHaWVcR/FFoz1lY8weIJ1urTeMW1BOS4MLtkxTOZmu6LdEGroWGerVaeWkatHYzEKKTVjknXl4tC6YIh2llHJtjgahHP60JfQ1DhmYydKwo+BsQD+cUq6HGQmhdF+Ax4Hp1dTt+9M6uT1rqb3fP6n8aU3PK6Kgp8ym8hiakcZtBeXL4Z8Flp1k7uggitT6Xdi0lE7ZkicTnkAjGevD9//ZUz+QtWO4x7khYfZE1VGcP968pjXp74OhedTlV3bjbEl8MCNDkOgAPn9S3qJngLj1Z5xskNK3FgWhbtzA88f9UloCYSNDGoahw0eVUhJ2S0oUiU38bLgNKxvD+e0xgXv2vYIz3WOZkllB0Ah9KSy2A8u23B/hCd18aeCGLwuDOJuKyAiuWW/REipfsstUrocZ5ctbqqU9KwO4itOQ3a31ELkuYSPpepARSRxJgvW7iiLJip7BZ8/w39qPJlRrW0aeV8EFNLp8kTTly6ERJi432aXJWCm857JRfEeUNAYXcO5wc09jfWQI5z3R9U1b8k6Yrm6uaw6asjlsa0oBwqBR2sROx0/iXm/ampchlTfvnHPhSZ2rta0ggyrjLhLhW1szypt3skGYLxSe1KhdPWCq+2hCZIhElXPAU37OVrFD6x6QL/K13oB8SV5rMby+PLp890VT8g88jyHHWKslTRx3uNmlU/BLNG4vKON2TgpCZgNEhm1B0zY/m5NEW07xAstaY77oBCcxHZtyrdgpFC4lK47ZjwZq4wZyPKo7TdHLui4XZYtADwUDhnjg0evArQyTaNm4UKv97r9E5LOizMvzJCWFMQt1ZmrETmGduzGB1Tu3GNF352C01t4Nmq4Txy21KTipXA8yMMOPOmhTprO2tmVgpp90pBxcETNpPtGDCWXJqiXehPhJS0Iby886BsHEccfQF5zXD7vLReV6oShyhW/9G5j9vldWRPfNCaAvj4cL19fc5CillPdJSrj5wXk0NfSDEAJA3w0hASwIG3YUgCTNW+LnYOFMXbD/VWS0VB5z9LmcYEYH9PerGzdmPJSftWXiVjYKOQnlE0xnLj+LB1DJqiVJzySytbZmxFexdqtCsgo18JRjVHfiGidNjbQg1/2sSBw4Ufv4X4NiYHddLgpFzJ+2hCLGFOqGHQWheQWWbAmv8+XxOXX/sFuIPMzpYdHMordsFO+VxJfSKVyLVUctQbGWTuMz588z7mEIEetDs+x+lBYkKv0C7oum6Ojd52G+Fiy2NkfHTzgNFc2vvF6iZ/B9N3w8/rncCr5a2rPiaTFugNBERG7LN0cQMqhlXZR4PPptEg3lojPYMG7lIWGaW4MM79X6d008cj3MCISicXtBGbfykiPS++Mu4Fn19RKewHtnYUJkL7dXkWFHkkViVazPkvA64ntJcaJ5P7CIRijZZcrv57FQfFGyUruvqDxPUlI0rqUx8QxkuGd0wJb8h8CiLeZs/r6UkSUPm4L9ZoNWNgYNPCVyvpdX5SyqPoQzjbI+15WinLv/+z+9qqLfUoM/PQCKnm3Kv8ONUflZXUAWLXkv4bcXJPAuOqhxySdwvlUfAgDAY0JeSnN8+Tmgeyvem0Whq+Wh0XfnZNPLBoSbbKaxk3iV6EHzT2lc03N5uSYDyxhccPMQGcaZQ19WS0dWRd6ZFyN39IxWEnw4hZ+vv2d/Bn+26qglZwcDGEtW0Mw0bc1jIKHN6JIO3mtJg0evY2DJFuS462pRGjdv0ZFPuR5mVOjNRWlMwpO4RjnZ9xYtoTaupT4SYR1Ywp9t3gwiIa/hwJItYA7+d8GQ38oLWIBgFW7EQjPa56FDb0uncd+UTuP83BSeluEfz3R6hUjWjPVZ0rRXHcUZVzaG7REzbBq3F6Tx5oaRAciV3ZZ4ZqIDtkA6ag7iz3ssU+45z+M0JH+rliMXnlrfgHyRr/UG5EvyYgMSP5AWck7NQVMemOEJjT2c18i6JUeCFFzAQV9+Dppm42YeZIpRFEYbNiJ1nDhSfxrTn9IpaGYTxy3xd7S0Q9ZRdQTNhT8FSRbn7hpxAAAgAElEQVRxsRs2IcU1PKmbCj1ZjwzZos+n1KB0WrPhR2xBbxIbyolbZAh/jy+vjdJvLmILoU2Z7otYU3tsR4IVP6HNx/ezynU/C4yqPuyqjloip/AWUCTs/l4fJmo5J/PAdbkorHPmSKz10tQcxEOFYWrG9QLSj/X2pna/KSt593ngP10voFChOZ7p5JEh2zEI38aWyJfVU7dhfB+ZX24W8pPxIoozBvkZdwAW8DxJCQ65dr8pQV0tHVnxohDD63qAtHpulEIztvxOzN1wXQZK0biBCWxoFt9NZFgn63bjM/PlMIl3X3AeBvW7irIF8KfwcE12Qf+/+duDyHvRpvrICH5/yorivUBJUlvtzUPO1rDDCQArnUZDXfLaMgq0CZ2ZcDMv3ic2iSSNUVZRNootFCURlceAbiXZijhrpZRolzdsykmj7b5gihSJyM2GHU5mR+kUCg2mWNPw7U85JlZ/xpKtX2QI1xjxq9s+PeNorzVPn+ZhZoYY97L4rJ+k8LPSjuSR2xGae71FvKfw2wvKuJlHMaj9VP4UirnAslPkMSWbn2tbE5CxnE5WHzJFkviHr+gZ3E8lq3iPxE/zPzTTkwoXGbIlcZum7Np9kKkwhIwFlesSpsL1u4ui0TfuZSVwbsPGrEiPWDyFJ51k9dJpFN/VnaYUvu7zphSy4XEHrkGkdmAZQx33I5y7wTm9xdJbO9d9eN3cF014nVac64eo5OpOUzV9fUxFhvB5lY3ZnyvOacD16im660FGNT+bU1VHgOfmEIn0QkppAoso+pufRR5N8jBgEESPh2YxtGAR3rCjIBJE9wVTddQsC1o90eN4koLzttzXZWO4rxI9gFrQ90a9fskKvi/K9WoO4B6kx2rDJh14e70gQxYS93yvQG7EzzO4ACkaGxCSp4iCZuCeL4t7pqNuBVTHFN473/eGjdhutrZmBGPMxr3mgAM22PR/9YvMqm6vpu5p/0VoxpYcECmwBxyvmS+PJv+Z2LxKHsZZX3XUMbaXrDoSVc/jtMiIeS77XlkRGRRlenxfieMYZpGiZdzOiQeT10B00Ln35NlxC/jbRA/OFm7ujWsFtWFjVp5lGzblJMGdz0VuHcvPYZNIBHPysCkAj8btBfEf1u0pSjI56ZFEQCcP4z7lwLH8rEOBLD9nyxnevBkNXNVRS0ASPKd5Lfmy2ut6GO+VjSXRwS3tWdXSnlXui7gOykZtUUr4spZK7lgPIvwiX+sNyJfkxQYkfAoYPa68S15bBolET30jI3jIckLsepiRBOLAsnOgk1tfOmWLdplUCkpjaGo07uQQeqXJNs3fGBXzNCc5sT4UFZxYVh6zRM7R0oFcEtclU4gp1YdQ5Ff0o4kpncJ7qN2HIt2bR3HoLUKP6rFNMfD5M9DOGzcKgrIMT6w5kLU8J9FjiX6UoWeB15exndCyC18enw0N86FZR7oWO2VJMc+fFT1jS8J2S3tWjII0HZeN4eCnoZNTW05aPRamzjROx09gExIZwc+kvIeNW9PWvCMXS1uCXK7bA9kU/T4bNmaF1lN5DFNm41pBckqIN2RiPDW5rquYhjbswJ+NDNsSakj9tHErDx9B0VJP/qkSRYnt5MiEZj6PV4314aEX67Nk0usx8Ts9/51+CWpLfjilQm8uCgWlZNWSB175WUiemp/NCUGK3zWLdWJc63dhMul5ksI2KWMJ1pEyPBZllccQLMcATxrma/cVVUt7VtV+NCHbGaUUghO1bIuGbcIXAq8vK/dLabWxWmdVfIBsk8qvTquK047fxGNhos3JfWhGh9/pxoPZGNwCUdPMME2mLRsv5kX+V9ntGK9Lp/BgZ85Dsgta8uRhXGvGvawKLEKS1vxsTtUcNNXO755SpdO2mvv586CevbUoviyeLXyvRLjSYB6esCWT4g9fbAxIVmtvTInpN/ruHK5h7e1yv5RWoVlb7f/+CeUxNSXvqJafnXQQoJXdljT00QFHShOcs9WmyCyCyrQMiNdWrE83hjsLqum5PHC7L6AoIf44esZWT//jL8TUShkHG+6KfudsCSzbEgDLaXLFab2V1XkXHDiw2SxZwXlJL05oFvceZY61+4qqfndRNjNs1iLDkN1EB2wBPLQ3phAAqQtQblWDC/gsPSbkQqSocTvM66hxe0HkS7X7iqqjZlmyczix5gBCfIW38mg+jjtbw8gwrtfAMn5G7X7Hgzj38+fx2eotNodWjdsR9OhPWyIrqzlgKt/LqyrZBT8Mp+uVxyxpQDgNp+SHYbrBBZyxFf24l71FnPHRM/jfKZETiaf293G4Ud1pivHZdcmUzT09IbxG2URwgxk/4QSpBufRWLgvoimIDup7VJPlqjtN1fwscjAIZEgc18THYdxL3icpSGQPQMbVuA2fE7epJGmxyeYgwrheUIHXl+WeiwzpTeoI7r26vRgqGXdzKjJiS0YOaYPui6aoAOK9Tthv1RFLqG++HO5fUi65xWZmk8fE7+ItWpJVREJj8+a8oHWbtuLZW91pylCk5gCuqbq9AGOwLiBwhp6WkhVbgBP8zJq25tUzsXmB6zDANzSLJqlhJ4JBgwto5ErG1jcgX+RrvQH5krzYgLiX08q4nVP1u2AqjvVhK0DahMcyZXXrsWGkDI/bUsQTl0r5CIlEgk+8gIdS4oMZ5T5vinGVsijieunhCL6xJAcxZRzBeWey43pB4/t0+FBlNxoL43pBVq/GtYJq2pIX+Qi3I5y8MZU59v6MKp3GAzSwjN+Jk0xvwZGDBBdskSlERhwZGZNwWSDxAHZfNGUq17CjoDZ+65xKdqGQYRMWnnQCytwXoR33vbwqYVixUw72smwM3o+K92blcPTlMdXiRqd5M6ZbLe1ZmS5zg0DZiD/j5FS0NaWkAKg6ok3Bd7GOrv7apFBBpv9+J/DMZ3HQs7mSIm5YT/bn9dr/EpLEqRun6b9kRTPrP5xSB3/QKxp2NpyVx/TUP4/PseYAHrhNzyHfo/wcHoTMuKAkylu0VHvDKoqYJVvABUTB1u7Dn2ez5c1bUqCL9OZBRqhaxDX705pHr+Uznz31w9h7zqEChXQ2CFN9A0tOSFz5Wfh3gnOY/pes4npyXzBFL83CJDIC2VbZKIqC0KxOitYBbOFxSNCSXaZMOV0P8d03PZdXG5NLgA7oa4pyOuvXHSK9qtuDwpSIS4bBPf+dfmlqjbuYjIZmbPFnuK448j5+V3V7iyJvErPtcb1hfGcexDg9ofbm9f1WtNTY3+1BlsRVIFR9L6+qzd8eFNmdP/XHEixO65lgHe/F+eRP4XrxZTW5SaNOK96bVd/81wBkmjrEbud3TynjNjZO8V6QoogCTXahGW3enFfNz+bgy9GfIYMDE8d1KOCWvIR/zv38eZEnekwnKyY8geI8NKO3NHqYw2k4i142sbX78bNqDiLJnmbm2v16CKEN2aXT2ARFzzjZHkRg+zMoKoPzDhCj6etjztCj35LtDSWAkZHPY25rDpiCfa3sxhYrftKSjBN6ZxI9KNKZ00AyVmU37p3AkoNMr9tbxDn8/7L3ps9xXefV77+R3Fyf0xO6G41GA92YRwIgIIqkSHGeBwAESIAgARAjMY89n3M4z6I4i6JGU6Mly5ItJ7Kd2IkjJ3biXEfJm4HfbtWtW/XWrbeKte+HtddzQPv9zioWTpUqjkQCPZyz936eZ63fWnaBIiwGKaU0Xs8IFpfTNs85HOLZ3Q5Nu4F6lPsxYyQ040goIjHKBBXw/2cB4jm3IgupB4f/NW1p8XOxSPWcsyTzo6k1Ld8p/wzzlojJpnKgrMNWrTWLMnkp7cHPKzyNP+99uCwZFoG3FpV5HkUjJbqFp1E4srCq25ITmS0/Gz7zlJVSohvvsiVrpazdndiyYRJc0JAVHQroT9viifA9XFb1m3LyzBlXgTCvOGBJIzIyqu9bna1VPIBsjPhRrC2NL+MMQbADpY98HwWLjhRvxQM42MdOoBnJwN7wpCMFU9UeSO4YaEjsccMGTKbo9/C/uSTvh5MfhimTXsfXHz9qC6q+uN9Ra+uXZS0ndIVS2NgJ/PyanXmhz4WmHRXpWS1Anue1WoC8IBcLkDXV07Lx+DW+smgE3RoG4VEu0rAhqw79okMV92MBMS8CR5k4YqvQu/OS+NqwMSteCwbckSxT1oGFv+DtBWx++uCQOGKLLpjdUfLfySAva8dmSv01R7qlx2zV0pRUZe22aiufU22VC9IhJi62dlteTMWJTmwysQ+mZdxcNOIIgpd0IF5lHbYY+MzLeVX2yYS7iOdd1OLKbl3haRQRT58EQGfK4TUWjWDho1zE/m0rcKk3IUehqdi8gPF+8QA+k4oDlsg5uOHUbkdScGQc0q3Ex5MwcusuKM3z/ow+9C1rmY42jBOH2/DDEVWzM68e/L5CPh8eco1bkHCZ91Iylg/OO2ri77dKlohSCtSYh8vQ/c67eRYFby8oX84WOld0yA1bLO1xJQaFEzjIcSpG8hVRr8a1nEzVyPwPT6Ew5KSItCn6CkiIoqY+9sG0avtqQNJ2+Xf9GdvtEGvPTPi9OXQyb0NyZ7yWFf018ZuxPldPHZyHlK1oGPIZyj2YrWGeh1QtdgKdTU7VGLpJxK95Oe/ipUddrCVRpNFBGOAj45gAPH0SEEILPTvETvb+cr+Q6ko/mlTBdxZQRJx0A8w4wQgs436q2wpz+pp16HZSzlJxwBLAgnkvhd/PdePNJfweTa8rWNISqFsZN1VdS7EiY5gaVu6zJAiMOSWeB8k/WafMeynltWxBd1Ky4nu4DL9OD9al4DsglbV8eUoVDTtq5zdHXcrRh1OYquo8i/0/73QD+/ShjPkG9ZvR8Szux70anHPk8FW5HweygrcXlE/7oWhOZgefuQs8vHjuJ1VkzFF1n49KbhEzFEifiow5qu9Xe11U+BQ+24m/36qMG1ll3kmrRKct4aaes1gLEkdQgDAR2/Mg6erbNTEtcQQHKs/9JEzctqXMO2mEyWn/SXTIzURhQrXnQVIVvj8HX0c//rn+T/Ui1ynux31FaRERtb6cW3AWjeAzIKL4rX9JCBCBhDbzsnsAp/+GPi4Gz3FPip5yceeRUUckOZxyRMa0z+8E1lsG5HX9zUGllEJQ6IKbWk8pb82OvPr0D4UgSS26IYBFw454APhshGbwfDOo0LwAeXL5IXcSRm9H1R40aGp25lXo3XmVOAJMfd2WnBQylJrVbsdeuqYNU/DQu/MiFa3c5xK7gnOu36jskwnBHNNfZ17IS6FFDHxkTDfXNNmSQbbRITRJ6j4ffWa/K1jEz2tuSYkPzZ/BZ0IJbqzPkbBXHtjpNyprxzNKgmLiiK3y//iSrOXm3ZRMXc07etJ+1G3+JDpt1dKYhEftkC1ToOpdebW2bgnZTxrjnThiCzGMZMjIOPY+5my1NCyL3DfeDZBB9BQKqLrPRwWmQF9OdAifdcMrWXl/VFb4bk+uFiDP8VotQF6QS3JAMssik1kZ1BOecr0c3Kijp/QGvQLJaF7MP4M1NM9bcvBlzoF53u1w1G3JqXU/7kfRojebkuPa83E7LSnk/oxelBy8pkDKdg29eyFbCb07D/3uqRXmtrQtmQ2lPbZIUYi2ZLCTcSUn5Bj+jJqdoLbU7Mw/0xESvOhVPWF5PSOBb0SNlnVowtOUq/vlBkSKEHNIGtdnwbt/BWhC4/WMGC4DSXTUKg5gMSaSkO+PIXzmJSBDa7cBt1lxEJIajra9lpsabLyWFTlReMrd7IiApLSEOveKg5bka3BaQQ9O1V5LUnEj47gflFLo+OlCkJIN+jHMi3nV96u9OHS8vaCO/fIAUtjzKGz8GVcSkehEUdLwwxFl3k2pH/1rUBlXcmLs5XfBwC6iIjmV8px10+PrN2m61xlL3f19lVrTllb7f94pLPjYB9MSDpfoxAY4/uttyryYF+20/9GiCr6zoLxvJJV5MS8TBPNuSuQklI3t/qYblKALCOMqnMDkhL4VpZTyP1pUT58ElHEzowoncM9RWhaadWQCRDIL/UD+DLqppIX50+jalxx3DxmcULDrywkTD27Unlf+YBzTSG2Wj55Ck4Gmf3bh+VqK+x2Z0hWN4JC2/icnVePLGSmMIuM4zDBPKDyFQwL11xUHcFCsOGCJrKqpNa08D3BAH/q7ncpz5k+T0GN9WkY2gdfQ0rAsBRYlnqFZR3DANJ+z4RAdgrTF66A739KwrEp6bfXtv/+FqtyvJ4/6APXxH4pA7NIeFmrgKz49rda0pUWPTiwp5Sik4LGwZEHc8uUp8UAZV3JS2BO+QDwuJzEVBzA9JAmw9ctB8VKtaUvDO6K9MrE+NIyUUuLZ8Kdt9bLnlOScxE6690LVHnz+iY8nIa/TYIp4ly3kNaJhjWu4n3jID0+5B0vS+0qPoVnFXA7/o0UUzLqY8zqWTGNoumZSfGRMZ7F04Xv0P1oU75pxK6M8Zyz11XcBVTwA/xLlnvz8w+/Nqc6/PgxvxZQufI/joMspcVk7PuunTwKq+rMxpZSSwyZT41korq1dwvets0UogaUUs6zdls8vuKAnOfOOhNs1N6ck3LZoGD+TU3YWzhWfnlaRUVeOxgkoSVORMbfwqThoyWSdkrmKA5ZqbklJ0c2JtnE1J3Qv5vcQGEIiZc1OFLyRcTx3LKhIf6M/klf1bku1JTAV8pzBcxNI4feZl/Ky/xYNu5ke4SlH9lGuwyW9KGopvyIuPzqICVH95pxMaCLjeGYJxoh36cnK+qzkWgWS2KfMS3lV+P4cJkH6dUTGUQh7bRSHkheim5ls1FEmXrnfkiwYfq/1m/XP1kHEDKas3wy/a+yks+oBec7XagHyglwsQApGUiqQRHeh8DSMx4EkDlHUEpNe4s9i4W1LzIkBjH4P38NlSRVn54Fa23g3/m/pMVtwutFBR0Ufz6jAsqu3LGu35WAWSLpBc9Q3x04Cv0gGOZG5REk2fjEsqe2RMUcCCptbUqpuKzCW4ffmVPVubXhc0mF+F2D8jow5QgDxWq4cpGltWsbYxs0MxuEfTqlA0vUosMtN8ymZ+M0tKZEDeB0cdIv7dQL5SWyQDa9kJV2W/7epNS2mOe/DZRjEdYK8eTmvfA+XgWsd1dQVndRetyUn+Sa+rGu0ZnCVcTsth+vggiN0rLJ2TQW5CjNhzc68hET5M8gLqP5sTPn1phod0pCBCZ3wfRyvs3hAc97nXcM88ak0DAdSmJjRD8FNkkjj4n6N0LydVrXbMM73WngtxusIpgrN6PvlGgrieJfb9SXdqqUpqfxvIhizbmtOwAWUiBHXyc+H2QTEQJcftsVX0Fa5AKNoGnSc0o8mVeCtRemCNrWmBeUcfm9OgrTqtrqSEKWUmECr9qIDbt5Jq8YvhoEoPa7v4Rvo6JPaVNqDDd24mVGdf31Yec7pIMtedBqjp3CYZxeS+E6GBdZ8NqYCb6HwKVjSuROavLUSXWxcA+2IYWk8UNL0W7Mzr9a0pSXkjFjnopEV3VYt82GRTn9MIIVJKGlk/L7kIKw7oH98+XI4ZA3+7S6RCdVvgnGdncnEEVvoXwQxkNbkfbgsqE6a+L2OK7OjRKZqjyWZGf5Hi5gGv4bJEX1RnjOWdEcj444cHIkfZdeVPpyCRUfkpsZ1BNZ1/c1BFR3SKFwN5tj49QlV8uEU/r4mSf3+f/yZdPvbyufk3iRFKtaHw7xSCpNSLfmjxKdxfVYOYJ5zMHkXD+BAWXHQkhyU+s0IOeVhlJkHNDBHh7BOl3Xo53vFZIhUPqaP87DMAsNzzhIfGOWS4SmN+F7G908dvzzPN7Kq8YthBGLmsBYXjTgiYQ1P6d/z2ZgURpxactrmfSOpzPPuGt/wwxGllHKT2S8DuMEGhnlBB9+9nhECXmmPLdI03v8FS1jPmCdTvymnmtam5aBdud+S0Flm/NTsQFOquN+RQzSbbjRuG9dyksHU0oTXvnKPYIYLGxXBBazjlft0UOqtjMiEarfhmWf+TfGAvlc0mpc+iZ3fHEUq+TDkmCspWCxyOVUhhn9tPZqVzS0Izm3YkJVJxrrIBLwpJMuNuyGHnARW7rPEX8PGCafKdVtzIh8jKYyI48goCmnzUl75s1i7mCEWnHfkjMBJrueMJXs5CY7GlZzIPAkQYC6OUCZ1I6vhhyMCpgku6HypvAbI3D+9WoA8x2u1AHlBLhYg0SNJCQYKLGOBTnTa0jHkoZoIytAsOnuBpA60W9CL5h0YU4v7HdX21YAEddVv0jhWrZMPJPHz/W8u4cB7KwNZUu2S6FnDk/Bl0NBIbXzwnQV4At6fE4a7eRmLaqzPkQmH1wY1hAZDMuQpaaK5lJ4BzxmQRIxrOXkPkVF3Qabki5uwUH2GMJFhhgYLDmKMY33YEM7/rlm6ngVLOHwT88mueukxWxj85K3T7E89at2WnPggPPeTYgylfCFxBBs4kZglx/ViPOqmv8sEYc4Nuqva4xJPmALNgophTvWbclLUUdrAw7tSSvTsXtsSqQg7SZzcUJPLzzfx8aQc/BmOd+gXHdLRqvlsDEm8J2FOpYwr0YnvgTkBZZ9MoODRuMfYCUfNfrtZNsPqXegafv6vIVX4/pzQgggBINq54iCKgvJDutt3MS9hap6zkCsZN7LK93BZ6DrGrYyEJ979fRWkaFmNir6dhqRQ50oopZR5Jy0bL4sU5qcY15CvU7sd2FGGqtVtycHErYlbhROOmF2J0Fz6zUYQigZRpK+tXRK5Ik3RLDJpoPflcehfVzAqvHvBzI7rrvYYNvdA0paQPsqMwpOa2vT2gmr8YlhV7cF3XzSMQ2ZxP/TlLQ3LciANzaJIPPbLA/Isxo/iUBh9PPMn6xRxnAz9NO+kpaAjdpagCqKha7fl1ZP//HOkhffaciAs7keh5tPFx9MnAVX3+ahM+ELTjhT09GgwePPr73ygOA07kuvCSVpoBoexqj2Q9RlX8FqfPnGR1v5HiyimRxyRbpYc14QlHRRZOIHpWvlhrbsfd8NGN359QtVvyskkiIn1SsFc7XVw+Kraa6nKH4zLNNhz1lJv/UtCVRzAYVU+Oy03MS9AUuq1AfF48p9/jimHJkNV7cF9RkIR06ZbaxalecD3GZ7EfebLuzklbHhU7bGkqKe3iaREytwK358TyhwPjwVLaKJET2FyK3Q2/d2yCcZpHSVh4UldlKRcEzplXKQkFg27SF1f3l1/mVpftyUnOSfmeUutC46pui05QXnTYM8JOCVeFQctee+EoJASSQN1c0tK8jJiJx35vBjQGZrBusUmTHjSkT2sZicaUcyMCk85IhGu2ZmXKQ9R5SzQmDnkeQC8LHOouNfwqtxvyXQ7NOsIQS3ejfuMuNrq3XgfXO8F/TulyYo7IVPmfRw7iX2ROStE+sa78HNFOjvj/ruiYf2968macTUn2SL0UnnOWdI0ZBMhkMJaVbsde4bnDO7jliZMXFn4xk5of2UvPseaHXmRAIZmNfVtyPWSxA6v5oA8z2u1AHlBLhYgid3LqnIfZE4lx22h0lCLSfZ3aBqL5+5vujHi7rAlu8O8k5bRaXQIG1zjy+gmMXSpZkde0lrNy+j0x064XRTjZka1JeZEUsRRrfEa5D6FE5CEmfdSyriCzadmR16VfDilGl7JCsY1ccSlcFT+YFwMbYGkLd4HatmptyY9iyFuwTn8O17NzZDbeG0c5jd+fULG7OZFHbqnddvmxbx4RtaFT6v4URQBXsuWQ5txIysafONqTpDBsZNuynrBEhZgXw7fAVGqvixIIOWH8V35sxp//HhGzJn+jK3aEnPCeS96PAPs6MW8HLY9ZyzxrjRsyMrG4TljiczEl8fIm1IKJoonjuCgv65oUgIbI6NuCFV0CJ+r535SkK48vFbvxmdW8DZ8AOH35iTIq6URQARqzoNz2BwZ/Few5PLkgwuOSIcYcua18HrZATNuZGVqF5501NnfrhVJwaav+4RiwwKQaEtuXr6HyyLzSHTqz/nUioPqMXxH/jeXsDmdwCbsT9vy2RAu0NIEf0MghYyChd+8IsQX4n7X1i3h87mHbBhq1IsHXH1ycA7d7egQJGSeM5A6lBzXSN7TbogdDehExvqzthDbImOOpHJTN06t996fdbl5LLqTWbUXhxI+38zOWfjNK8p4Hd4P87wlz07DxiyyQ85aQpia/XYzkrSncDgLLLsdeobr/fHVsCELucwoprHMHDj/u2bIh0bRma3cb6nQu/PKuJkRHXf5IRSqRDqbd9IqkHKD0uJH8fNqt6PZQdywP4s1reGVrHgLzIs42BEtHJp1hIr28F/KpLtvXM9KxsFLpYAQhKZxqKzbCmJQ/aacJEVzIsyGi3E1hzTybrzOkg+nBJkbSOrCRE9dGteDGla3JaeM1zOqbgtoWQwe5cE0OuhINkNwQT+n2nxv3Myo2AfTUqx430iq0o8mleccIA6RUTR5PGct8V4VTuCA9vRJQDJNCCWgt6LkOL7z2u15+TkFS7aQjYiF5lQydsKVg9Vuw++rOIgivOTDKVXz2ZikWNM7Rbpg9JQjcq7oEA7OLU1J5cvifr70uzVKKSWSWZLBCid0d/w69hjmbCSOuMTC8kNYy8sPY+0qa7fF8B4ZdyQZvOIgpkzGFTQNgnMucp57ANHyzS0pFRnTB/vDthQqJccxHfBrglOiE7juxBFkqph34A+JjGJNICnR+waaiMzxMW5mZF8oP4zPwHMOJvjSY7Z4YOJHtb/huC05RUopkWRHhxzZe4mKp8yLcquiEXzXgaQtU9z6TTmZFjMXqrQH31v9JjRewlNYa9mYY4BuW8U8CG4dtjQ8mcVEElrlfkuyUihPpgfQvIMJbbwLr6f0mC1nj+J+R1DnDNH1WrbbFNWUNAEnDGM/ZB5L6TFbeRZWC5Dnea0WIC/IxQLEf3dCOgzMsyg57mIAa7dj7MkFl7hOdrt52Gv7akCSZHkQZuc+1ufqgIk9rdIJ+tMAACAASURBVNmRl4NmdBCHmtC78zjknHIpJiW9KFiCC46Y3iOjmuyzMy8dmeigoxq/GJYCp3IfpiA1O7CZFQ+4ngz6NSoOuIF6NOeWH0KHaGUoGj0pJMMYV3JIW51yyR7m3ZQQimgSDE+ie1ZxwFKlH00KBpGhckwZr9mZxzTkMoqP8kO2ZHOQMFRx0FL+R4siEfJnXeJL9S6kh9d8NqZ8OqDMl8emV/PZmIp3Q4bGP/9S8TQ6SgNuV4p5CIUTIOjwkEbCTOEEJBFDf7dTEtSZDq0U5A3+DCRL/owtCcqcDgSWtRF22Ra6UHDOlYLRhFv4/pwyXs88MxUo6XXD0/jfyjqwwQSWbSkKioZRmJQes92usj6Q122F1KTwtKah9DkSOuY5p0krt9NCtmHXjCjH2Al0tL1vJKWINC/gufGcs6QA8Dp4HmInMRXzWjpF+25KKaXkoEIDP4ugioOWAANKj9mCRzWu5VzM8/SKSdC8I5kDKzHZxQO6G6rD3cJT0FuXH8Ln5cvpw9IZHDD5c9lF52SSAWnMewlPaVJVUhuUT+MZp4+h5MMpZbwGbxN/T+jdefHv0MNC420giYNrw8as3A//OwkWi6+GV7KSyUL/gF9Pmpp+NIRD0ZtLgjimpCWwjOdVgs06bUHNrvRAEBHMgp/fS93WHHDJD5dB3tFZFYGUBiXkcT8H31mQIjV20pFQQeNKToy0nAbOfrtZiH30C5GWVnjakTTxePezyNTifkd9+odCTHuv5NT53zUrpZQKLrhhgOZFd702bmWkKVP4/pza/U033mMez8/Ir3eokl5MYeq2omgpWHJT1dl4qtsKmaNxOy00suIBPD/F/Xg2vvouoJpa8d/j3bbQ3qJD+L4pF+KzzImo5z48Y6F351HILKDY9b+5pKJDIH4x3HPhN6+gyNKyV/qnOCXnOh4/qrMudNI1AxurPxuT7r55EWb7+s2YrjATJDiP556TLr5W+hfpWfCctdTL3xuQYqxqD4hZ9AuYd9KShxSedISIFTuJe48+isp9lpjW6zflVMUByCspWa7dlgf5SRdzK8P42Dwhgj2wbAsIo2EjZE7VuyC5omezZmcegYcX8mpd0aTkW9VtdT2PlE9730gioO8wjNz1m3PI23gZfrHIqGuA5x7ptVCo1G/KCdigfnNOaF/+LBqBZR22yOyip9C0MC/g3mXTJZCEvK9yH2h8tdvyMumoOGiJaiM47+bM+PLu80vCVvlhWzU3p+TPNLWmJZ+ECoCCJRSdlG7Vbs+LZ4WAj/CUowp7VylYz/NaLUBekEsKkImUavnylDJup5EO3I3uX3QIE4fKfViwT/7tHhi5RrE5cSNPHEHXjinWjS9npGttXM+KljWQRDgbx57MKKDfoGgYB5CGjVkYVNemZTzPRcnrYBGlaTKQwqF2bd2SdM8TR7BpVu2BrpSkDjL4OVYlbo8m5bJ2nXNyMS8JyLxKe/B+GWzndWB04+cVO+lIl4zBgZ5zlmBra3ZCb8/JkXETm4g/a0tOABdS6oyNG/gcKg5qHLGWCrGoKzyNg4QcyNvRLaOkq2hYj90vASvauD6rGjZmVcMrWVW9GxtgaQ9egz+D4rNwwtUDF424xCrSkMKT+L7MeymYrHVehFJK1W8CwYVY2ao9lmzgxk2ESXrO4nX4tHY/dgJFI/NMzAt5mWoE30FwYEmvLd3j2u2YLlG61NSalm6+ed4S9Kl5AV1Xys2IX2358hQ2O41Urt6NwxIlPAzbLJxwC2UGWRYsur+jtMdWr/60V4LmKvdZ0skvnHDUuhAmbz49RYwfxUaslEI39CwKhMb1WZX6h/Vq+ttXoZceedbIGftgWvmy9jMGcSKJfVl8d/RtlX0yoSo+Pa2iQ3gmOUnkhIsEma+/8ymvpclaE/is67bk4MnRGQH+LA7tZe1aSjODTTj2wTQKvB6sEaF35wXlbFzJqUAK+umSD6fU9r86pj74Q1T1/nK/Mq7l5Jno/OvDcrAyL+UlX8a4kX0mDI0XfSU8CFTtsVTR4xnI9MZQFHoeJF1Z3xHcy8ZVTBviR92MIk5emRxtnkfH2ridFj8IZS7RIUe8ZZSa1W0FjceXc8PjKP/gRLVoBIdmwjKePgnIfb3ux/1o4nRgzXypdEZ5beuZxHQauGXS+PaCyIlotmdoZLwbTRLjGtZf825KPX0SUP6MLR1xCcq8l5LOP6EAT58EJE+E2vuSXhzueE+WH7alqx7vxv+WwEa9xvjTOOAV9ztq/887VcUBS6aSpO6Zl/NCKQpP4bvkuk8pKzHGxM+WH7LFaPxSfFb5M5BTsTFCmqF5J42k+50wLbNQLvtkQhnXs2r9T04qpRTS5t9cEk9VrE/7Goa0nKkDvh9KUBtfzqi1tUtoCvTYQobzPEDDxvtGEvfJvOuxKz2Gz76tfE6mHytBDCXHbfEP8aAf73abW54zgJLEu1C0hScdWWejg46goNnBN27iz3KaRb9FU2saKO9prIeRcUwf6jfh78W7bfnvFQctmaYpBc8j10Tiay/9bo2q24q/T18dgxQTR2x5RgWaoqVlDAuNd+EZrNmRlzyohg3Yk4gxLh5AYcdmgT/tTq/5HBLmwulzrA/NzPB7c+qlkmn42DRRsLk5JftMZNQReXFoxnFx6kd1YOZZFIKcSpp30qqlyW2mcH0of29gtQB5jtdqAfKCXCxAQgMpCe0KT+Fhf/WnvcqX00Fts25arD+jzZy660yEqNfGhl+5z8Lips1jiSO2HBi9DyGTICucHgTPWddgTp9FaAZj9KIRdOfZ0TJuZCXN1bwML4R5Jy3Gc45QKVUIzqGLwuA8zzlMEYxboPfQjM4RbGgaHXHvw+VnMglIwDGuohvKYD/fw2UVmnZEax+aRUePBsOKT09LaBunQgwoDM3qRVV7PHhgLO3BVIGdpbqtOSnOWOAw7ZjGWUqVfA8hpwvOu2SYkg+nZPxcfhgbYtVe65lDStOPhhA2l3I3rLJ2V1PtOWOJ9MO4mhP2+pp1GRVI4XMKzuG+CE9ic/XldGd4DpI1oiTjXfguf/ZvJu4tnQAePQXPAQ9bFQeRDl7crw9st9MyZanZmZdJU2QcWNfoILqkwQV4fhJHoPc176ZE3uG1LekYVu1xg+taqxbUxN9vRZr7sCNa/9YvB1XRMMLlKL3zp2218esTyrjq+jLMuyllXtCHjIM4mBYs4SBsnrdEhqOUEuRmU2tadf71Yck0oSSppTGpgnPYYH15WyaBpcfcEDPvG0nIsbRczDyPA2PlPksKffM8Cix/Bvd2dNARfTsP1g0bs2rNuoygWwsnHEGsCiJ0yvUnlBy3JcjSvINDcOIINviCRbcZwWnC19/5VGAZHcu+X+2VwzkDHEt73EDAQAqSyT++Gjai+xsddBOzv/oOZvpYn8v2l+mGhj+wu1xx0BKpFnXxzPLwvpHEJO2zMZE98cBnXsrLYY1mYM9ZyFhavxyUTjbzYkIzKIaICmdzhUF+PATVfT6qAm8tAi7h4LBlXs6rV3/aK+tsw4asdHf9WRy6KREJzjsiHwsu4J5qrVkU4+76n5wUwlFoBs987fa8pNczbZ3+KBZJ8W5bpjv0MVHeRyyxcQW5MU+fBORZ4mdKP9j/999eFPDaEG3chln46RNQrYqG8eyZ5y3JsuAEk0Uh83NoomZxZNzMwHNgW7I2BZZ1I+qMJftLrA+f6dMnARV4a1H8VxUHLfGBFI044vdj2GhLw7LIfyljig66aeKUFEXGHVmbWMwyC4tSxPJDtqSCBxcc+Tmxk46sMcbVnEzeg3NYW+m1jIw6Mpmp3G8J7Y9ZJIWnHZlAGFdADazehYYYyVHMz6DZnRkeBUvYM7gme22sMbyY9WRewhpDI3bFATRimOcVO+FCKoILehKj8emc8MdOaj+FXq8ZIMncHH8WzRlOmtgQYqOjbgvM42Udtqr49LSsa5S3EUcdnsT6H5p2JDi04iAabU0/GlJ1W9Agi3fh76ytW4LPcAeKM6/lUtkYbBg7CVkwn6dEp62K3hxdLUCe47VagLwgl1CwhlNi1CQphom2RF1KF153JSJjWu6iD9JcjLwOSCXGdciHmORs3Mgq/6NFVbCIBbC5OYVOnO6EVe1FsnP5YfgzqD8PTbvpsbE+R0xk9KWEJzGl8WvKTdUeSyU+npQDPw+3gWUsHmUd2BxifY5opCk3MO+kxThPjjkvSsWa1qblsOZ1sAEHlnHQLDnuEjvKD+tcitNYyCnD8KdRHJUcx2da0utiI+PdMNmbl/Ii72BwlT+DwsW4Cga/cQumwLJ2dPk4EUl8PCkdejLhjetZYZpHT+nk4t2QC9TsgIStZgcOW5FxvLfSjyaVL4eJT+22vASrmRexucdO4hDNgDCllBgpS49B1hCewmdc9/koxu7LKH4Cy/YzwU7UIPseLruZGRfyEjpJAEDJcRxiSns0qaoTtClmiNAzY17MK+8bScgyHs8IsYcbYOLjSenakYBEaaE/i8+c9yrpPpEx4FsDKRSH1LmzAGJxGPn+rEABKHEIvTsvCctKgVjU/ot2VfHpafxOrWEmujYyis+ktAf3Bl8jMycq91kS8kiJR8VBQATiR10dPLGS/rQtCcbMjwjNOIJf5v0SHUTHlxr5wgm8FqbGx7tswQEzT6KsA113NipKj2EyRAMzkZftv2hXu7/pRtYI0aYdtoSYhqccCdj846usHYVY+SFb/b//ZQCYcAOa/YJF3PfUf3ttS1Kca7flpZBu2JAVA23ttjyKgKQtlDI+H7GTKCb9WVtye6r2oOiJDuLgR0N07ASeo9hJ/N3qXSDpsVhp2ABpGcPUzEuQV9bsyKvm5pQAKnxZWzX9aAhrzllLiiCGwNHvwLDW0h78fK9ly7MX79I0v/M42BOF7ctriZH20vnT+PuBlO1matxOSwc7cUQHFuqUa+bKeG1L7gdSyQLL+G5rt+VV6h/Wo6jfa6mWRpiMmUZOWp7XsYSsSC+EeSeN+3FWp4CfsQTUwaKU+PbBv92FUNFx7QvrQ7q7cSOrCt5eUIUTjkzFmBtRsOTCBpRSIvdq/GJYBZLuRCM86YIXEp1aGvRwGTLNU27AKFHflFPRZxRIoXhbWw8SZM1O1xdYNIJ7gWGToVlHZEqFpzHRInmO91NoFms8SXEsxjxnkNkUGccUhoZ9YurrtuQkCJVTA06R6clpbkmJ55BNKcoBeUWHtOyUKeK6GRZI2ZIqzueAWTKBJO7f4BwmnQWLuOcqDqIJwP2lag/+DIlTxKkX97setci4I0nmDDvmekEUb/Uu3EsFby+o8kOQBhNWw0IxegqwBBLkWpqSoNFp7+NK8ITnPhqdBUvYVwMpF2DT0gAyqOeMpb6XW8XwPs9rtQB5Qa6VHpA160D5IHIwuIDNK96FhZVUHmJL2R2LjDlCRQlPQWJQswMbvPfhshQR7IyX9mDRLlhyO+ueM5bIAir3WRJoJkFheszO7iyTwYkmLO53pMPE1FYGGMa73BDC8JRL9PLltCb2tCPaewbz+bJYFINz7mGI0quydjfXgiGKNZ+NSVI4/y4DA7029NKlx3QA2EUc2pmpwoNz4K1F6XpHBzWNycJBo/GLYTncmRfy4hthFzw0i8Mx80QqDiIzwKe1tpxsFSy6ent+ftxwYx9Miym+tMeWYCh2yeo358TPYV7A5sqN0bwED0hk1BHsaMlxbdzUxuzQrCO5IdEhbFAM8Xvw+wpVuy2PLpfGndIzwlA/HkAZisn3RCN+36/2qugp3LMFixosoKcZnnMw1TP4y/twGdIJ7Quh54NoVE4RGPxoXsir0o8mVWQcBx7POcinytqx4QfnkGrMg7Q/g+8zdhKbmnkBuvzoEO6nhlcQ3uZ/tIj7Q8tpIqM6CboX93vrl4PKPI/7YM26jBx8SMvxZ3A4Dby1qIqG4QMqWMS9V70b913Ll6dU4/qseql42j1wXtEH4sso4iihIlmLidehGUeVfjSpwu/NiQyzZkdeDqak9LR9NYCCoF8XvPo9mJfzoqXnn6WsgVpvkryaWtPSof/jy7gOKVvVXssFFAw4YpoPzaBI4r1FH5o/i/fWsCGr6jdB0rP9r44p/yMkVfPQV7XHUm0V88+k3nsdSxC5FQcswWfTSEsvCwlPwXlAIOiXKOuwBRtKrwmJe4FlW9ZQHlYLFt2JEyUisT5H/ed//Jkq6bUlPZqeocLTeJaJdo71aVN8Bq/ZvOuiqOnXCc3gnqvflFN7f9almltSOICfwnNfeNo16XrOWZIWzelpZNSRTA/SwYybGXTI59wQ0dJjOEgbr2ekqeLP4llhunzDBnixjGua6nU/qYzXIR8lACLerbvkU7h3YifwWbGALe53hGooNCu9ZsVO6KnJIVtkW0op8X+VH7blZzQ3pzAN0Rkx4SldWPa5E5iSXnz3zMFioR/vwu+r+PQ0ABZ636C3h0RAFgeUETIsLzyF1125z5LiqGqvJcnyzIIitjw8he+dVEKvg2exbktOiJDMkzGuIzg1NI39jpAO43pWACMEB1D5wKtuC+5h7u/M7KnZmVdNazGJZjMuMqbX4kO2eC65f/CgX70L+yEN8OFJ14/JCSkLF96P5iUoFuhL5H3JNYs0MBrRo0PYi0Kz7uS2cp8lkxvzMtYENm1EWng7LTK0QAqNSN/DZQFqVO+CB6e5GeGJta3zqwXIc7xWC5AX5GIBYi6j8vecs6QjzQWJm1njF8OyqBs3sirx8aT4MHw5mBjpc9j6lz2qcMLtzAQXsKAbt9OSJxEdxOGztWZRulDxo5rGdB4Soni3mySb6Hw2LND/aFHISSXHscjxQEY8a1k7Ruq+rK2ij2dU+WGwyhs2ZGXjTxzB36nZCaP6mnUZFX5vDiFQY+6C3Fq1AKPsNA4R5p206PHNi3khGZkXgG0tWMS/py6WAW4s6JrWpl2T/XEcMInRNS/jEBdcwOLe/ot2QVIyT4E69niXlnD14T2wU1S3Vet8tfaWGnwGqJEOUtqjv+v3gKb15bBBGTeyomsvOY7NOjKO4oJc+eIBHEoq9+EQFO/CgZLITSbTsovGzSQ86TxDFvI8SOKA8cG0AAQCKWxK5qW8+tm/mUj2ncIhhxMnau5ZGK1Zl1Hm3ZSq2ZGXcK7iAUfeF/0rvhwkKdSRG9ch8fGcs1Tk+7PIZBnHgdK8kBe5F9PlaVolejI4h++kaAQb/cm/3aOij2dEb5/oxOut3o3PyZ/FAci8rE2O+tBcPIDnJDyF+4P4R0766jflEIho4VkwbmZU7CR+R+PLGQk+CyTtZzqTsT4ccnw5N3fAa+PzW1c0KRp2Ah1Y6BvXciry/Vn4nXRnuuQ4ZFL+DH6P/9GiMu+mxASa6HS13sbttMh0KvdbIunwZ1wPTPVuFLe12+Bb4pRo5eU5h9fLTjgNtYkjbkJ0w0asG5X7Lcl0KHh7QWRswTlggZ8+CajqXXk18usdyInQqFWGzsW7bEnTrtxviZSwfnNOmh/BeVcaaV6Ap8S4mQHoon9Fcro2+4fenYf5VzcqvBYmc2UdbjBb0YiL2qZkh9kI0UFHfCJ1n49C8qfTt4kKD804kv2x/icn5dAYHUTR8eD3FRIWW9KLSV3lPlerTzwyUb2UAREry8Pxwm9eETM2TdClPbbo85lVU/3ZmHivKg7AZxPvxkST+VGcWgcX8Nq//fe/wM/e6mr4S4/B43fzn2vl3qL3jeslmxz0VtEw3PBKVpLgfTnIiwoWHUEEk3LF+4YHUhZEpC/x4FxxEIffkl4APfidGbcykntRvRseRn8a75vTYua2hGYcAS5wkkiAStOPhvB87sPBt3K/mzdSPODKnlm0ceIua7w2n1fvygukhb4Ufl9cy/lPcB5Nwcb1kCzykgbjOO53GrKZlcHp/UqEdON6eHC4l3H/infb6qXSGVU04ohUsbklhawjHRhqntchvwcsKWjCGjtMulbNzrwQ+EimYk6S7+EyiJr6s2ezc239MqaIc44AV2J9usjTE9qanQgaJeWLaPyV8JOCJeCFAylbfS+/OgF5ntdqAfKCXCxAvLcm4bG4nRZZBpnu5l0sFCu79r48FmOOb4nwDLy1iOTQFtAmivuxMdPzwe5NU2taec6iOGEnnlpybh7+NDYJ6mrZeaKGlgtneNKdaoRm8WeMq+jwBhccGaPSl8HQQqZJs7sWWMZGwy4yNxtepOVEB/H3mLRLc2JoBsXI7LebQai5htdatyUn+RjhSUcOfsxi8L+5hLyHWxmRv5T22II5JWqWoWXFA45s/N43khJoRYpK+WHIbRJHbMFe1m7HoY+yr6JhLNzEKHvOomPmy2sykU5P5wGPngzPOUvkaiUfTkkyMvXVNFr+6t++pxKdtqB66zfn1Jp1GSmCxER+Oy0j70DSVm0V88iK6dNkmJ0w7ka+PwtjojaG1m1FN9uX15kCsy5pZ00b5CQ03zZsRBHGsK+iEdwn1bvycl9xM18JRqg4ANlAZFQf9hZwjzatTSvzPDZmdox9eVvSkotG8DtZ8HDCFH08Ix1G4zruaf+jRfGmVO7Hd1DW7n5HxQO4xwsnUGzSl8BE4cgoJhScJJmX8yJf8TrYYIUI9Bq6ppExdN7jR3GAZvBacT+KuXU/7lc7vzmqigdQJLKLSSmV50ESsh4tp6CEInbCzVVY+s1G5cvZIpFaab6t24q/Z17OS6jluh/3SxFNn8zKq/wQur/Vu1AMshP99ElATP7/93/9hQos22r/zztVU2savgdNBqN/ypfFGmdcy8FUmkJnlmnu5r2UTGpbmkD/qd4NvbzXssXPQSpgZFT7iM5iErO2bkneA6drLNziXbbQ0OJH3envsV8eALr3JiZckVHtkbqdliC8+k3A3UbGsfbFu/Fznj4JSFgqvwPzbkpkVYUTOhxRwwRiH0zLBIWTXDaQgnOOdK0pRYyMowAh1jyQgla/eMAR74dQtjrd9ZMToerdONgzuLF6N9aYsnY84+zuF74/hwP/u/MguO3HAbP8sE6/XrafWX/KD7uBk6FZNDGKHs8IKpUBrMzSiA46MgEp67AFCd2wASGSgSQS5yVhXJPParfl5XtvaUzKVDeQxJ+p3wSiYFk7ChLiZwVx3YeDu3E96wI9NOXMc9YSD0rNjrwLtRhzyXvVn40BHzvokrSKRvSU+RpQwSunGCXH8ZxwbyK8xbiGApuG8ao9lmorR8OJzQ2Gecozd9hdDwsnsKdTDla5H88Siy7jVkbVbwKpLzjnrqc+7cckmnylXIqFALOQOIFgannBEuAqsRN4FkmsDE3j99PnQS9bIOXK4QgQIUEzdsIR+S+nGoQD1G3NIetk2n0NLPYpIaZnkbLLsu3LqwXIc7xWC5AX5GIBUrURUwge0mgQKz+MroYvh02KuRsFS7prdtYSL0blPp1IPudISnVzS0pG+2Xt+iDwcFk03JQzUOfMrkpzC6Qz1IiyK0g6T0kvDvRMQacsKDTtdjNZ8FBixWlE1V5LurtlHbYwyc27KbX1L3uU18J7Zposr8iYI+Qq6moTndggI2OOYDJpjK3cZ6nYB9MwF2syV+32vPrd//hzmFN10BblHEysbq1aQBpsB76D+k056TbXb8pJR5uTDx5wR369AyN+LS+r2ZGXjnFkFJswSV5FI45ktDT8cEQZN7LKuJYTRGLpR5MiS4udcGlejS8j0TnehUNNcB6bTf0m4BtLP5pUNTsg/+FkgmhYmltD0y5UgFKDhg1ZtenrPlW5Hx1D8wI68aFZV+fM98KuYuH7c6pyP75/yhkq91tC/2IIIzfJ0h6NFtXkqPAkDjAFi+jAlR9CMcguGbuQxmtZmaYxFCt+VN83/fisx3+9TfTWDIA07wLsMP3tq7Ixk8RD4zGRzzxgRMbwHuJdtmr/RbsKzkP20LAhKx1T5sIYN5ADEhlzBLdcvRt/d+/PulT08YxIY4i7rNyPA++6H/dLUBdNz8a1nIQIrq1dku6118LBqLTHVomPJ8X7ZNzKSCAkO8SV+xCYGJzHgdNzPykhjGUdtuBD2awwXs/I+y18f04CSP/48mds8ZTx9xSNOCKfIMGIE9HIKLIEIuOuwdifcc3l4UkclAtPu1LA+FG3aPNaKEwKlmyRHGX+cR2KlmUUjl7HkvuCk6P8P76kioYh44me0nI1LWllB7ykVyd1O5Ygln15NDH8GRzY4t34rJl03rg+6/p9dGOgai9MuAwibGoF8tWftmUibNzIyjNDCZnnLA5vwXlXxhZccFRbAmn1xhV0oSv34fnnhMqX0/4oLeGJfH9WCGOUrRnXAGVgmnvsBIpdEpzYfCGdzryYV32/2isNo9AMfj8ls/SGkAxX8elpFRl1UCD342BKxPNK6l5pDw7W/Ew85yw19Hc7lVJK+XIAL5CESLpd9W5LwAHRU44gyZkmn+jEdy3rv/avlR9ym0IEK5iX89IYY6r6mnUZ2cPCkyjAKfPjYToy6jwzKSLEgHS8yv0o6PxZW4ALxQNYv1oaloXguDL7xWujYKrelZfpA8lfnnOW8jxIyudUOOE+ewzkDc26/rDSjyZlslFxEJMeNiIbXskKrax+U07yuQoncL+yYRSedAQYcff3VcBf63258eWMqCxYvDdsxL1P3waf7/LDgHWsrV2SKUrsJJo/wQU8Zw0bsqqlMSlQCMotCxYd8WFW7cXnWXHAkvuG3tbqXXnZe305PDslx20VO7SaA/I8r9UC5AW5WIB8L7eETTsxJz4Af8ZWS7/Z+IxsKHYSi0NkFAeblsakGIC9bySVeRkj3uigIxkN1MlyomHeScvo13gtqwJJGxjWAZcAQnkLN2rPWRxiAstYrOs3Aa9pnkcxQYMkg6R4mGOxInKSURy8/Rmtpz6FLrzIBDT2tnI/pA8r9egMECNWN/DWoirt0SF/w9ow996cUFPo+6Dkp2ovDmfsZIWnsCmVfTKBw/36rHRsooNYZJlwOGGVDgAAIABJREFUzWkJw+ACSXRyyjpcpjnRkTQqx05gkQ7O6XGzTrJvbkmp4DsL0i2s+3xUEuWjg450Pss68H64qbGrFFxww9uCCzho126HBySwjKLI+wbCB72WLb8ndgI/u+GVLMgvmpjDzAIGZlF2RJABQ9I8D0Crqvj0NA7GjiU4Tx7cPOdg0DQv5lVbxbwgJsNTOhdkBveOcT2rjFvISTFuZiSLgohOFhm+nKuh91q26JMTnXgfzA1hzgIPm01rgXSt2oNsCHoJYn1aLjPrCMXHa2tfg9axm3dTEqhXftgWuUBk1JFAx8Ay3m9zcwro1qO4NyoOWBLeWbsdBWj9ZhDUVubSRMZcrX9kzFFv/UtC/ANr2tISEtjUmlbmnbRa/5OT8t79GXQmS3vwsxu/GEaXX4eUClFo2b1HE522PNPGzYyY1tkVZpeVfo4/vuTQcsJNjTdeQwHGHA7zvCVZDZQ1+fI4yHruJ8VTFuvT733KpRDRwBuaXoH1PQv/0tr6Zfh3Tjlq/NfbXACFNrvX7MyrvT/rwuH9KrrAkTF8jwwrLJzA7yz7ZELVbQFKOtFpi19jTVsa64A2BsePYpJT8PaC0JLMy+ikR4dcLCo74kqhSGNIadUedKiLHs+ADvTenLJ/2wqZoMbmkpgXHcJh1fdwWT19EhDaUflhF2bA1xicB8Fs4u+3qrrPR1EsHXUD80gn4nSa8AuSAxnaF5rBOhycx7oWngSkpKQXk0JOdguW0NE3z0OW8/7/FRPJVWkP1hZKuc7+di0kkifctZ6EP69jqe/+48+UUsCp123NiQyz5LhrwudnXbkPB1/PObyX8HtzKjqIgqdo2BGQSNGIIwRDCZi9nhUjfHTQXStIfORBt6UpKcnglH2FJ0HzE0+H9vWI1Ot6Vq1pS2MfPe9Ok9hIYR4N5V9VeyyBZkSHHLW2bkl5bUskzIUT+mCftIWayMvruBJHFgyBJJ5PFkxeG3uwP4116qXSGQSGjiNnqnqXRuvrZhIpkmFNPGQCPdcATkuZOE4wzkrgB3NaSo+53kYWgIEUmqbMDzGuomFn3oMst2AR93NLU1KCMEuPIdMo1ocCNt7tNi/pLy3rQINH1AzrF1cLkOd4rRYgL8jFAqTxw+PC+29qTSvjBvjkngdJMVJHxhwxnD1DMbmHTm/NDhh1SbUKTaPAKOm1hWZBNKfnjJufQd089bZkj7cl5lRrzSISpg+7QYFe25IOFeVYnnOWdDIj49owv9+SgCp2NRgMRf9BcB4HGPMCjLWhGR3cNon/xtwGpWBC9zpA+nnuY/PgYcC4mhOTKT0i1bstMRkyFd1zDt3Epta0dOIZjljwNiYf4md5tAjz7OacbE7Vu2EsJKaY4UzRQUfkHyUfTgmNpPC0Nh1rLGq8Gwd8hh36cvjO6zdhGhSegpa2YAkFU83OvIQ1NWzICjmMr+fmP9dCAqUPjcaVnIo+nhFJUnDBEdlPdNARv01pDw5U1bstQQTHTmIczxwOhlgKJ1/LJmIfTAtFhubY6JCWn5y3hO3PjY6+FB68GKxmXIFBuGDRlUBR4sV04NIezbcfc7/HIu3tMM+je0pPDA/cZN8HlkH1oiad3XKllNBljNczYlwtHtAH4ttp5X+0KEGFhRPu1Mfr6JRxHURZNILDkXEDuS5exxIkdP1mfJY0ejPnhZkkLU3IZIkO4v5jqFf5YeROhN6dV0+fBNT2vzqmtv/VMVU0DApRvBsdf+ZfELzgf7SoPGdAViOtjPSawvfnVGhaTwYez6jIuCvvivXhu67ZgUwQ43b6T9YpSh9WUtN8eVsKdEp6ooMo/sLvzYnBu3DCERmjcSujGtcDFOC5n0TResYN1SsawT0YWHYpcEXDmFzxoEekt3kvBTlPlwtqiIxiDUh06sniisMdizLmEBA3Sglk1R7cJ55zKEISRyB3Ci5o8/4FmG2rd1tCwKOMVCklkI3wpCNNHVKafHmXzlfS69IEyw/heyKWlzkfzc0pufeq9uI7jj6ekXDHyv2WMu+CpOQ5h3vSl3UJSJREskAqOY4DMpOxr/xTo3r6JIBwR046z+AwW9KLNZuNJNIDKR9iY6qpFcRC47WsSJYaNmal8C8/pP0dFzChLnh7QSmlRGLZsBEGbXrJwpOuGZoGeMrlSnt0EaEhAq01i5Dv7baEGiaSSD2RZ5FDfG/8qA72e7gs8kTjVkbuB0r0So672VD0KBChXbCI74OvuWqvJRkblDga19A4i55yRJ5a2mMLFIXrVWTchYLUbcXkvGZHXp45824Kk9X7SVW/CXsQVQxr2tKq4ZWs/Gx6uQqWbJELU064tnZJgiU5rS9YwgSd3jNCTuq2YJ+q2ZEXvwwR0vS+eO4nxZNUuR+/82XvEKRmt9Mq1od1lNQvZrYwV4ker4qDlkyp/Gn9HnZBFsrpJf2m8aO2eql4GnvUlpwKn1gNInye12oB8oJcLEB8s+jsEEtJtjbNvtFBR9jn5oW84DrZJWdGgXk5D+yqnh4wrZWbVGQMi97ub7olrKh6N4qR4JwjeRklx23p/JCMVLs9LwsuiR7RU5jClHw4BcKRDkhk+NqadaAbUR/K0LHgHA6A/jQOMlzcChZxoPuHf/8/sCDvdBdkr2VLoCLDkvxZ/DvzUl668ZJmPOEIdrP8EDagyv3YzANJHDSITvVndBLsJfgyjOtZ0c6S5V+5zxJ8bEkvOvXxoxjVx7vcwxhN48RAUoZUfkh3g89YQnCp3m1JrkR4EmN543pWQiPNC3m17sf9qmBJH7TmHbcDd8+l7PBgHZzXMqt355XnQVK9+tNe1VYxL0F2xIhSJla/KSeMd772gkUcEAoW9UTgMmQsoVkcWlnAlrWjkFizLqOMWxm1rmhSFT2eERqSeS+F0f1rWZniMCyv8DSKVHbnaCQOT+Kg5c/goOS1cBioOIjfT9xrW2IOxtNBVwp3/Z/qVeykI0ZP4wqwljTqGzeyorEu7cHn5k/j70YHUdjt/qZb1W7Pi3QoMub6o54+CSjjVkZ9+odC5GXsh6yQBK/Ex5NSxBUs4b6O9eFnREZxmOQUxpfVZDhtxGeKO/GXiSO2EHgCKUwbvI6l7N+2IiNEh0DW7ICZm/JJdierd6GQKFh0JHuEyFpOSKJDOJywOeHLYqoQfm/uT9app08CkGKM4vUzO+Xpk4Ay76Uk76Fqr+WSdz6ckvfjT9silanZmZfDW3QQnq2WxqQa+rudyriZkeLXn8bzQjpXc3NKZCRiPNfd7vAUOtf87v1vLqGrquUknBBxChlI2tJI8adxcKrZifcQnNf/7kpONbekYCbXE+enTwKqdhvW5ebmFIIVzwNswLXn6ZMApsVJWyAPxtWciow56sHvKxBw2I/vhWACkQ1ezMs0sWAJ62dxP95nSS+KCHrK+LyWH3ZJZp6zILf5M7ZM68wLaFQ1rs+K94eZR5w4RcZd/Cox1CUfTiGnYcwRpDqzkQhwCM67/izPA5jGXyqehl/krM57uoHJJj0g4SkUEKQCCohkzkXCE41cvQv0Ok7EiwfwnkOzeA3rCkYxKc0+ewgvP4TikQG1DNCt3A/ICSd1VXt1Hse8IwTKeDfkiEUj2l90BvtM09o0SG7aUF94WudkaORz/WbI3yoOopFScRBSI06CG17JqtC782gOak9SyXEUxaEZR5oVvIzX3HubZnj+HuMa/DHclwJJvJ6az8awVk67ErDoEA7tzc0pAacQkMC/R3kkp/9srpQct4WWKYWD9g0RFc1Jj9e2JJSVwBAW5Sy6OYllqGrhaa1CaEfh1vDDEfGI1OzIi+crNOOIN6dxfVZFu1YlWM/zWi1AXpBLMLynUzBaPlyWcWvtdqSBc6Og8duXQ3eQI3rKJkKz2liqcXuV+ywJS6IGuGanSxEKTzkSwhRIao2mlhS1NCUloJAp2KXH4A1hp8u4BqqHYHXztmzeZI5X7XG7kmUdWto05iJao0OOSHBosqf8gAdfXoFloFVXpqeWH0YhxCRq/6NFZV7G++e0gXrbxBHXVM+8FU5FiL712pZITLg5lB7TtKMTbrZDIOkiTikn4aGw/DCKG5JKEkew+Bo3suLZiZ3AAsuNMDiPTca4grG/54yl9v+8E2QszcJnGFVkXCe130+qQNIN21NKyQHIl3O17NEhndx8LYcJxYOkYBBZvEVP6TC9uylhwdP8alxFuvbTJwHolu8nled+UgrQ8kO2yKsoD+J9GJrBPXf+d83q6ZMA3tOUI9r74JwjXV1KDsy7KeQ27MLhvOjxjCp8f07CD1u/HFTmJRw040exoTX9aAhGzM05lfh4UvkeLkN+tuQGx339nU8ZN5A0/L/+26fMO2nRiBf3a3mC1t8H53TSPROEtcbe/2hRhabxudGbsqYN4IjWLwdVdNCRRsK3//4XyutAShJYtiWjoqTXFgzq7m+6gerckhMdtHEDWTF1W3Pif+BmHR1yBKnptdGJpwk4OuSIZIxm7tpteBZoFudhgtkKXD/8WVtS3c17qT9Zp7xvIJjRvIufa95LqdCsIxK5wFuLUlCm/mE9wippoj7sYljLPpmQJgv/feV+PH/eh8uYit1Nid8n3uUioQtPO+pH/xpUs99uhvzr8Ywy76WUcQskMt/DZVB8dMgbPT6UrpX2uJImauo59eVUybiZkQC70mNY95jXYVzJSeioeS+F7/aVrMj6OM2R/ActZ6zcZ8l00LycVy1fnkLI38wKad87yNBgV5p+keIB/JyaHSh6PGf01O96VtKhGTpHpHnVXtc8XjjhJoN7zrhYaXacX/1pr0gEzfPWMyZpYo75WguWbAnG/eq7gPhNuCcUD7iQkPJD2Es4sWj58pTyPEhijZpxwSiJIyhW2VgrnNByzR40R6TY0VLCeLctHohEp4aqvAKkLZtTBUsougoWHQFneO4nRabW8uUphHlucJ87rnkENHDCS6IVfTE099Ofx6ktgRnBOUxVSN+r3gUPTWQUz1rtNky0WYyYd9Kq6PEMwiJfe5aCxUKcUzSSrmJ9LqK/aNj1ofCz8WewhnJCFBlFkU8kMSfPBNJIUOFrWWVcycn+x3BAFrPMbIqMo2ggkplrZ8OGrDT0SnptQXGX9tjiZYx3odhmwcXJc/EAUPdr2tIipy7rQKEdSMFLVb0LJviGjVkVObY6AXme12oB8oJckoTen5LxMwsOGj65QDI0KTK2QkevNwEumOxoG9dyIt9JdNqykFGDbF7A4l942pGsjugp/O/QDDopZHd7zroHARJlyAFnx9y4jgyCms/GQCrRZmQa2drK54QWUtaORaisHe+rZkdeGa9nxMxL3wIPgbzi3e5Cm/qH9apxPQ52sROOGNtoro+M43VVHMBGnuh0TYXRQddYWjiBYqyk1yX2UDLDFHdKsso60H31P1pU9ZshSyga0e/nbkomLDRCk9pV0mvLoZRdpoYNCMmrOGAJZpafX8GiI51mJklTEhJIQaIXGXelFZFRFFhKKTGAfvCHqPrP//gz6OzfXFKxEzoBV+ebUE5ELj2na+EpGBON13EQi4xiIuF1LMn34GidZDUaatmJXLMuI6hnFr/+R4uqejcM2JFRBBH2/WovEMA6cDOQwme892ddgoklPWfj1yeUcTOjvI4lac7+LO736ClsZMYVUMpIwkp04kDR/ot2fM73AFZQCnkpZR2gEiWO4KC5/+edQr4KpDBZ5KZZ2gNsammPLcU9AzA995PYyEdAsCK5iBOCmh15FXhrUULaAilb9Nw09yaO4LBQPICDYMlxW/TONHDOfrtZGdezYr6mcTQ65MhrMi/jEMfAvuJ+Ryada2uXRANf1uEipas/G8OB/SQKivZftP/JOsWMEcpUzPOWpJ9TAlO1x6Ut1W6DeTh6Co0U827qma5mdBBI3kQnAALRxzPwbj2eQQDczYxkPdDQ6suhuG360RD8HrcyItssWHTUrX+uFvyvL+tKwqr2WlLAM6G7aFh73HTGAvNKvG9AVvLVdwEYonUBwIOk5ywKeMIR+AzwMypYhNQoegrPV9PaNLIPMu4E8umTgPgu/vM//kx99V1AsoeCC/j86rbq5s24m7YePYX3WbcVlKenTwICKWHB4XmQlPW8rMMWP068y/WDkEbktdBEoZy38gfjmAZnIVc1ruUQmqlzjg79ogPNiKSL5w5POfDf0Osy6QjRyDyPQql4APvD//xvUymlJOyS0JTyQ/YzmR+xPtyHNH+zi88QvNCMaxYnVIA+DvphwlOO5G8QlOHXtDZmqVBqVNaBva/0GNaudeHTqqTXff78WbwWosA5/azehXvZn9aNO02+IpCF05bwJIo3BmhWHLAEBMEmVXAO8sjabe7EP3HEFj9N9BS8d76sG/QaSNnqpfis5A3xMyo8jfWn8gfjErQZO+kIAIQZXg0bs9IIMK7lZD9gk5C5W6XHbPFn0A/U+HIGjZoFdyrB+6JoGD+7ao8l+OO2ygXV1JoWqVfBooZP6Kka/Tb8fGIn8Iwy54zNsqq92tO2a5WC9Tyv1QLkBblYgJQcTIrsipKP4n63cxmadaSDmTiCwxn9DJJRsBna6YYNWXSH9eGXFBLjak60/zSpm3dA+AmkNAryHSD6wlPobjAFl+hbZmSsrV8WAzPNhL4sNlfPg6Qyz+tO/wfTam39skhJKvdZ0sUlAYrseK9lS6gTw8Iob1BKgUCyD5MV4wq6dgWLjiRMx4/i/TBB2bgFo27NZ2PopB1CR8anjfGkCZl30qLzp5zN6+D180DFgMXCCUcOK+xuEk3Z+HJGJG6BFA4GTICNnXTEeL/ux/0y7aBZ3riZUeWHMYFhgrVxPSujdxqbzTvA5vI1Ffe7uQhKKWXeSwkrPjKKw9/TJwHluZ9U/keLEixIuQYlTGva0qqsA8bbl783gM2EJvNJRwyEvhz8CZSR0CwYGUNXLzKmdet7LCGTEZPZ+MWwMq5ho/Fn3ZTclWSa2EkdvtltCz0qesolJzHNubQHh4CuvzmozDtpVbUXmzK/1/LDOLQVLGpkZd4Wn4pSSqYF9MrQSO05p4MP9USBXUfm2gSSbhJx1R4dyDWu9fvXQatbsy4j2nF6IOJdtqQ/FyzhOWeAW8lxW+hKlGUlOvG7jNeBnjTPWzAda2M+ZVUMvywaxrPmy7rZDER5ey1MsZgPwUNw4K1F+fM0ozb8cOR/a0I3bmRVwytZZf+2FTCEGUcS2EnQ8tqW2vj1CRU/ClqSP2OLx4B41erd7uEpOuR+Rq1fDoofouKAJWbbwLIt9Kf40RVyuQVHtX01gOaI/vc1O9BZnf72Vcg9Pp4U+UeiE88WfTQlvTj4NjenJMyPOGiSdozrWeW5n5SuP+9J4wreU0kv7hv/m0tKKcj6nj4JSJZTwytZkWyVHrPVzm+Ogh6nJx27v+mWIMaCRbwnTiMjo7qA3pITylXB2wvowmu5ZsVBHPCjpxzxcDFgj3hsFuSckJf02urzfw1JTkxkDJNZ824KneVxNxQvOIf7OjyFItmfxjNX0ov7hJ4s5hEljrheQ/NyHgW89rpQvqYUgggDSbynl/0jEhLK5gXzX3x5FH7FA84zIXRMtC9Y1IfyvC3Id/l8NbaelDzjelatrV2SQF9iYMs6bJmc8kAeSNrSYArOwdtHXDinenz99E/Sq/by9wYEVODLYb/z2pYQv0LTuL/K2rEXMduDjUYGpSqlhCjFAooYa04eiBo2bsKnVLMDRWTdFhzw40dtweaHZtx9icqItsoFtaYNWVotDcuYgFxDdlXFQUukYpwQV+/WkuUrbv5MxQFL5G8VB/RUSNPL+Fx5bdwzgWXtBzmrPaS6qKNv1J9GUbumLS3QlJXY8Nrt8BJ5LVt5llYlWM/zWi1AXpBrJQXLuJkRLjwXjdgJTbw4gY6E534SnZwj6P7y0OZP22r3N92qtWoBh5dlMPGN68BAsoDw60W+/JCLKqzcb4n0id4Edv3MS3kxaBtXc4K8bWrFwkXsZngKh83IqCPZDaFZ/PfG9VlV+YNx6aaV9OKAspL57rVsIY0Qqek55wbHKaXkfRQ9nkG6rYMFrOQ48jjY6fNpOYnXwmax/icncbDPYPzuz2i058eTqmltWrT3nvswypV8OIUQwY0wV/J1MxMgdhLvidx/f9adCHgfLos0oGgEeQzhSUckQ6/+tFcF591OX/khW0K5mP0RnHexiV4Lh7vo4xlXbnMJZljjdYz6yzpsyW4ITbsBbJSNhKccoRX5M7aEUXFyFEhpXv+sI93IomF8DrXb8vJ3Q9PwSJT02jK1oJeBhUbpMchrQrOOYCONWxnlfSOpyj6ZkKTswgn8k/h4El3fWUcMqWXt+D78aRR8xq2M6Mz9aRQJxrWcMm4AgSqGdW1aZoeeBVvdlpyq2muJbEApFLPxo7a8TuNWRtDAzEcp7sczGBl3JEyP6daxE5D8+DO4H7r+5iCSoKfdz5Tp9gwOKz2GfxeahlGbYIemtWkJd/PaoCHFj+K983DNYon427qtOSFohSdRlEXGHckCKBpGYWtewKQxOugGdlYcBEUu3oXno3IfOrLBOZ0p8L8xoXOdYaFSfhivlx4JHiDD782p/+e//k/B3zZsQHc+NI0uqNfGc01PG2UxXDtu/XO1KuuwgYbVmTGBlC3I2oJFyL2q9qLApTnWvAiTuHkhj3RyTZeq2ZEXQlDRiKaA3UDIZ9VejRE/BsmRcTWnSj6ckgMzDb6USrV9NSDeNs9Z/H7jSk5Q4czbqdpryfccWEZxIblCF/MikVqZJE6ZZ3QQf4c0u6JheCvMi+jU02Qc1ghrrwNvBBtGxnX42db9uF+kYOFJ16tAPG/lfkzLiA02rmfVuh/3Cyyi/BCe7dIerD+BFIrhnd8cxTRHh4Zyolrx6Wm1/icnIWG7mJeJ8d3fV8HTctT1gPCgW9bhEsEIsoh341nmIbVxPfxwpMZFH8+IrIjTjjVtaCBxmkm5Xd1WNMzY8OLPMy9g36NHId6tA/x25AWVGzvp7kNtFfOg6enpPal+1bstoYtxCpc4YsuzRVS+13KTx+u25GSyE5zHf4t32yJxK+twPSAMHW1pSsLb9c6ChNbSn2dcwf1GDLd5Oa/W1i3JpJ3T59rteZnmRUYhiTOu5SB13e2i0zlNNs9bkuMRGcckgnkopR9NulLGY26WDdfF6BA+B3/aFumkL4/XRh8TC0im21PuTN9MdAhrGSfALOJYjBYdXZVgPc9rtQB5QS4pQK7NYsQ744gkhp3WyLgjE4WGDVkh/lTuw6id42siZimdIvUjdgLGbhInaMgMLNtCPCIVi94EHuCJuqXB2ryXkmTiQNKWdFoabKmFJbq04oAlf9fzICkdMnbjKE/yPlyGHEV3+Cr345BU3O92hIr7XUpKaAa+Bo5k6aVgMqs/DVoSQ72Cc1h8eXBhWjonDokjtvDQzUsovPxpWxK5CxYdydwo7sfmJaFNg1rP+s4CqDGvQa+67sf9wDtqmVtJLzZifuaFp3GIrdwH2RYXZl8Om0TlfksO75ExN0HZuJ4VGUlo2j2IKKVkUkBtrz9jC17VeB26a/+jRZE7UP8eGUVnyrwAuQjvp8i4e1DkAZ0hV/TO0PPDQ0PBIu5dn55yVO/KSyeVwW3ckBnyR7RmdAh/37ybUt43khLu58/YEtRoXsgr38NlITkZVzUS+iLMlfzHn9UH47wrU/Fpkye9SS+VzijjtazcwzU70B0NzmHTJG3JuJ6VhHtq2+mLYhZN8YAj5tvmlpT6n/9tqvrNOHAUD6AoZEhXvAuTyuJ+fDeNLwNJzEmicSWHUNExPPNVey2RBcZOYo1oeAWdVhKQCidQmPyv//ZJ+nFoBvcUO/w8bK1Zl0GGg6azmZfyquyTCfEq/fHFwEJmwZR12JK74LUt1dycUo3rs9KUCM1i2uM5awkafGUiO/XkDOKs3G9Jh3NtPRKVmZlReswWc3vshCMEIq5hT58EVGQUz2VxP2RUpR8hL8X/aFEkdrGTOOwzUZ0HqoJFFF2chrEgIrmK9yrxtTwsMVuptWZRKaXE0BtYdrHjBE8YV3OiuaepmUGCIn+chCej4iDWKEIsKHHk2lz3+agqa3eDVRmCR4pRwZIt07KWRjxDJM+1NCZhYtaTE5qLuZYTUMCpOmVlDB305Wx5rVxDPPeTyPJYwu9gyKZxMyPr1ta/7FEjv96hlFJy8OZ+RloTm0qxk47InoJzbvONnguiyTklWdOWVi8VT2Ot0pNE5oQwF4qTmvZftCvjZkb+HRPDGWpYsOjIobd4QE9nb4Daxr2DBL6GDVmR/rLhFD9qS6Cted5SLQ3LrpxW51PFuzGpr92OPYaTXk6ueRECw+eMh/qKg9jzCiccmTh4zqDpEZ7EfUsUP7Nr2BzyaV8GUfrmpbz4IX0Pl/Gd6+Kwai8mL4TPlLXbcg8StBJIYR3inys5jqkLqYb1mwFyCE3jdfD79OXxjBm301LsUlpcvRskP19Wy7legZSX95Xv4bKKHlmdgDzPa7UAeUEuFiCFfSll3ktBhrVDB+vpLgP13KFp1yzOAyE18hzNUoPZ3JxSsZNuOnPtNnRCqRGt2ZEXPSYD4yi5oqSmdrtLsAhPOWIko7yH1KrmlhQ67ZNuum9LAzqQ09++Kt0nhhdW7kOH0PtGUhW+P6eaWtNSlHARD085khDNi4dBMTzq7gw77sEFbbjscSlcVXtQpJUf0njECRRCdVuA7a3dhoNXcB4bJU1y1Jb7M7aEyxF7ytA60r3iXThweM5YQk0hTjY6qNnts5q4sojCg4m2zA4IvrMgwXPNLSmRoJAMw82mpBfBeiSFsJPM7qJ5KS8yBHaX2ioXJLukcp8lHgPjVuaZgqH3l/tVaAbTLeMKNhEmTYcnUaCE3p2XQ2flPnQ+qdMu7sd9RwkVJzjlh3CQW1sPuVDjy5g28KDqT9vPoKKZuEzZw/ivt4mEiGhghn+V9OowBcojAAAgAElEQVRAMj29IZKYcitKxjxnMC0zXsPhOt6FiWF40pUnlh/Gpt6wEaGMwQVISQreXlANGyGnYfeUiNLoIDZy+i98OcjJ4t24B5lSXNZuSzFHfC1lMfRJlR6zxThecRDfFz8bdnq9Fgqxpta0hErSdB6edLXxhFXEu215zYUTWtaoCVLlh1yCW+lHk+LDopxv5VU44XqRmJ1Ahn/jF8MIGNPNgOC8I7IK5hB4zlgSeMikcIazEcKw8esTqqUJgISiYUcOyV4HhcuD31dIdgllO577SeV5kJRGTHTIUb2/3C/aefu3rWis6I62eRGmfB7KGPx665+rBZW6Zl3GJerNuDQrkY9qWat5IS8FnFKYElXtsVRLUxIG2m15OahXa2+c/80l+ZxKe7DWeM7h59KMG5pxc1IY3lmzA689dgL3ddEIDq0lvfgcOU3zOphM0k93/nfNqmEDJoVeB89r1V4Usv6MLa/Dn8XPiZ5ypYBeB1NW4wrQq+WHXKkvaW6Df7tLmmPmeUvS4f2PFuUgH5rBvWvcBFLd93BZfHglvbgHWfjz2ebEgwhcTqOqd6MTX3HQ7cgbr2UF7UzSGYENNKuHZnCArduSE0KVcSWnzDtpoJ5HHAkE5SSVz2vtdpDueE+yWUG075q2tPhJGHrI10fJKJtw/jeXVGQchRebL74cpjWEkvCKDjqq7vNRvKcVxn7P/aT4GunBqt6F312zIy9huDU78mrT131uMX8Gz1F0EPdu6TFbMr6I0K84CG9LZNRRP/s3U6Y4wXnsEXVbc5Jy79MNHvO8JZLsgiVbUP30HRpXc+IF5JSL6fTxLlsaX+FJNDApM/acs6TwYjBpYBnRBIHR1QnI87xWC5AX5GIBEmuHsZGHIY54udkzKZmyJB48g+8sqOrdGsF4zhJzLLXN5r2UyJr8aWw2pT22BBqyY8mwHwYMBeddljfTfqNDmKSUdeAQQ1RivBsFg3kpL0URPQ8MqmI33PsG5AT1m3KioyULnbIHpjjHu+1nkmFJ+SJqllKkyBjeQ3gSxVBZO7pvRP+RfW5cyQkfnT4bBrcVjUCHzm486UaSp3IrIwdaHvoiY47o2Iv78T5pBCwa0fkPd1PKvISNgPjZeDc2kcg4Po/oEA5qZR3oPAZS+O/Mx6jehfdcvyknpBhSrOq25lSiE9+pUvCAMAzPPI/RvOccCp+Kg5ZaW7skhkRKM4JzjhxeiHkMzeD1sxMWSOKzqtmRVw0bsugY5/SBrS0tRulASgfgXc5jgpbSB5sVAYu+vA0az4W82v1Nt6relRdcKsOv1rSl1dff+VT1Lhj0fTl8f5Ex/Ln6TTlB5NJUypDHqDbEkv/vT7ubdXAB9xOLnfU/OakKJ/Szpj0roVkcXv1ZeD8KFh0pGBpfzqj6TTjExI/akgBcPOAW/768LZKqomH8Pe8bSemo8/BOzj59QzRN87XRUxTvxrNd2mMLVMK4kpMuOyVn5Ydw31d/NqYafjiiEp1uiBjDDmMn3WC+omFXPlnagwNF+SEUqX98MbAuesolaLHw5WSrdhsK95LjtphPa7flBSYRO4HvqHY7ioCixzOqZifMurxHyzrwXssP2+IpqtpjqdgH0xI2GZx3JJckkNSSqms5FX5vTrxVDPQrP2yL3JEYcAZORsYckTT1/Wqvqt2WlxDUho1Zleh0swx8D5eRoP79WaHDxfrcIoX3VCCJ915+WP/vPkcObYSIlB/WB78zlnzeXI844WKeSOIIJp7lh2zBOxuvZSVgL95li9E9OIfvkYb9QNKFdrDpsfIeJCrYuJmBf+4upliJTiClzfOQdwWSeM5Lj9liNCcsxOvo700nXEdG8V3XbsuLhKisA/fnB3+IKqUUDqcasEFfIZtXLY0odIwrkPuyCVbcv0I2qlHwXHMq91viBaJvhtKf4ILGhF/LyWQ3kLJFllj2yQQUBHpt4NpYtyUn3gYWeRUHMdGo3m3Ja/enbSFT+TNo6njOWtLcYiAhGyWBZdzX0gzQ/kNSyOJdbsPNcxZyuMaXM6otMScTIE6+qvYiZDWQwvfLrBJOKAkCiA5h7W9uSYlfsrgf+0lgGfcVqW++HFQPxu207DGRUUcS0OllKWvHd8Ri59Wf9iJ8Uq/JXgv3GqMAGM4oqN8hHY65NYesl2433yQ6iGJf5LjTuI/Y5DEv5FeT0J/ztVqAvCAXCxDvQlLIKIkjOmVVh0Hx4WRwFmke1bsRylc84E4jKg64HfrSYy4VhEhKyjBifbrgWEBmBDs0BUs6XE3rykm2YYCcbNqaYV+wZAvRwng9I6+ZScAFS9ikKJkinYhcfeNaTnTzTa0wE8e7sNj7Hy2qsk8m5LMqGnG7Kea9lGQ18CAWmkHnhWSkyPdnJamVIXTBdxaE0sHCgQdYr4WpTO22vHRmuDiW9tiCI2TXcOPXJ5RxC4UOKSU08HkdSw6z0VPQ4XrOuhs0PRocl/N3MPiPev5EJw7QTClm+nXiCL4Dr20p43ZaMLykABX34/P2v7kkBVfiiOtTqdpjiaSK8rjQjCOhfexIlXXog9QJvRlpDwcTioNzjnTOjSsIvKMUrnACB+/q3ZBKdP71YZlCEYMaGcd31/jFMPxHj2ckfbipNS2HbkpsvI6LB63bgs+ncr+lbv1ztQS6FZ52w8i8D5cFwUmTsFJKlXw4pap3Q9cvidgTuAeCc26Xl5MG82LeNX5qj01Zh06V18UKca/BBdx7LV+egiH7gCUm9oqDoLQF3lpUZe36O+9ziWc0jzOlPTyJgwxDSPls8kAdGcNBJjyJIrl6V161fTUgB6a7v68CFW4MB+uyTyZU5T6QxIJzmEo1bMgKsjXeheL3jy/jVkYVLOrp2M2M3LOUkJh34Alj4jz9V/TZsGPc+HJG1qv6zTnRjwdS+JzqtuSkAXPoFx3q1Z/2qsg41rXIKAqYtXX/P3tvHhvXeZ/7GwXSokWBAC0CpE16zmycGQ6HQw73XRS12lqijVopUQtFkSIpiqLEfV9mO4v21bZkS5Ylb7HleI1jO/HN0vQmbm6WNk3auE2aCC3aoBtS46LO+/vjeZ/voZLc/oK2gACDAwRFZYnLzDnv+S7P83lmRdImmNNBvA/GVQTjFdwZh/9nY85rmo65cu7RYxVMO/cYqOmvk43fGKbFDCf035rD76I3YDQGK6XEo8TNbPEhRybiDIhlaJ9xDV4J32ncG6F5NCi87wIWml8SnYhgD6Z1wdiKTWkwi7M2b9bb3HLQxM+AW3PzDM4l/lykcflOwdRNrDvPgKptttwbhb264J12xWf1qf/VievusTQagZ22UPmqt6BxIN6cKGillJxPBHAQa16/Jqs2frFD8ibY8MYGcO7TO5M/5Hmzkm2OEOjM85b4nooOOyLFqtqGz7Fkv4fCpjwrcGtO7ufiDg8Pzfslb8YVxHjZHi+vg2nmxR2OkBjzhyEdjZ3A+cG8G99J7+cm8YrXY2geDSQlTSSqKQUKFov1wiOeF5R+JsqUw5M67Fbfo5T8Enddtw75KY3L08p4JCveoJL9kD1V7LLlumGzQuoUvzfzV8r2oBll1hhxuQF93zBThHI4NnB8zlRvsSRHhFlQwQz+fdXrAyBrTbmSubKqYET5bs6r6mYLzco+LWM+trgBuZ+vxQbkQ/JiAxI+hpCtuvU5TIh6QLd470cfx0NV4zejI5gOBJ+aUeY5rHg5ETQu4UAI3p5Va97phs5ar9r9ro3wJy134MOBMhJ6QzhxZRAdSUXUGtetz6ng7Vl5kJkXPDJFwXFXUokrt9sS/sR1MUMKWXgYl3Kysi/sdcUUnWz3iEkFx70NSNkeR7CLRYc9yU7VVqzIafgkZrLwCH72+odgOjWuZmSzE7A8c695zpLwKt8T86rn3e1C1CJ7v7oZ25bg7VlIxe6Me9PMW3Mq8eKYEKsaVmeU76R9z0SNoWf0YJCi5TtlywbKPINmggSwxmVpCaWLH3MFQLDmnW5VtQ2fV8VONInlLWhACC/If35SkJAMgKN0jTKlunU58eFwQhpK4T1kxoDf0WjVMZ01cRQSl8Je/Hu/7QimMe+ZaXwGOmulZjOmpnyIc8JvXM6plckJ0esX9iLHwzxji+RFZF+nbZELle5zIAHTRTkncgX9eBhTQrKQGNPUOC9FXOOytBTX+cOuSBordtnigyk4jveo+BAakuinJz0T/0FH/ENFh3XD4uDza1wGGQZlgKV7cX3GdYZCdNSjgdG7E3luSnJ/oqP4XUj+CaVQGJbs98zohb3496WvDAudjA0xPQvM8tn8pUPwK3R6gWIsLsp322rdO10q+NSM+F7yhzzPQjDj/NI5RSy2FMg5FH6xAR2kR1lXK7ZX9DUYl3JCyqncjiKHlC/jMvwxkQlsx5jFUd1sqaaGeUFFUw5Yst+R7B6/gyYq0aU3obqo8Z3UeSJaUle+GzJTNgyRMVcmyJRVGhdzKvLclApmHdVUPyf+jrJWRzxs3GCR6hTvQ9NuXAVmVSklpDzzgiVJ2MztMa5lVCDr3Rd5M65670cfV+ZZhKSWvjIsspNEjye5LD7kEZZK9jsiS2P+TSiFe9bv2AhInMdWpOQAAAj0cJTsdySHSXxM02geylts8R5SHmQ8khX/CQdZG7/YIQGW8aM6W0QTw+LHvOcEm+pku9eULDShh+bx2TcuQ9NqXk+JTJUBd4EcruW8WTxP4sdcwU6TyLQq7wSkn/pMq9ipKU3XMgJLaWqYV8WHHIE+ECFvPo5rlJsQNhCcuhd34P3xPzkvQ0CmoJNUWXQYcqBgxtv6MgyxbA+euaTthVIa5a3PhmDGyx7hsyc66m1olVLSOPE8o88xdgLnFp959EZRIk3S4IqKaWU+npbPbyHcpmaTJX+WN6ulWxv1Rkc/w2MDmkKooSE0wNNDUrrPkTwU0h7DUxgWlO3xMkpCcwsa2CnvLDIu5cRzwjOy5IAHJGCgMKEpJCuG5h0VObrYgNzP12ID8iF5iQn90qQyr6dE/kONMak3lDFRKsHCb2GQm++kLUnHPKCio64UuQwW8p2yZdLAaXfFTlsoV8ajGVW7MSfBRUWHsZ7PH8LKuvAIChnKqoo6UdDzUPO7KNRDKRQbyXYYbqtfH/DMegc9mQl/F05LoyOuamrEwR+e9A5kFhBFnY5MdRPdrqQFC75P03oiz00JM59rcU7XA1oOZF7ABJVpuVWvD+A9pRZ2wFXT31orIU8lL4/Iqpn6+tJXhlVswFUbv9ghScyl+/AwYKJ1ohufZ2jOEURkMINDunKHLQQ0Tl79T4J8QkN5/ZqsNGDJdkeMgKRQ5T0zrZSCBItIz2SbIzSgkv3weHA78fxfJqR4ZJFUdNgRWQsDouJHsV4v6sQ1l3hxDHp0jQs1rgKzGH52GpuHl0ZE9sYk46gm9jC7oHSfx4uv2IngqoLjepumNcQ0+AYs/G6UITGgkwb0+jeOI//giXkJ0apbh0a8fk1WZGwT31yvzOspaUCEaz8OXbeQXrRPJHbC8+8UHIeniVSswl5XTJelex3B6DJVOZjB7xcd1UZ/jc4NT7sCG0i2o8BqeqtP8Mb8+5SAEUfKworSH27Xgml874YHszLtj464AnOgrJHegmAaU3Om2zcuS6s/+WsDpugMUL3k+v/ii9SmhbAA6vMLe/FZVG63JTelYpctm8QP7oYQrLghJzr/0ByK0KLPjOL30Rhheqn+5K8NmNqPoHhnyJyQui7qTZo2TideHENBfTknOnICFbgtpNna/+Q8AgZ1oxuag2/Hd8pWb/4grJre6lNLVmXEI0Q/h/FoBtp+LWdlWjQD9gI5Lfl8YUKKYp7NnCLTAF7QDz8ArxPfSVs1vdWnyltsIcRR+lOy35vysxn2nYYfq3QfPv/y3fBHRZ6bEkN5U+M8thydKHBJJ0r0YGhDyZvfsaVB47bHeCwtwAEGunJ45Xe0h0T7DguPwKxuXMtIExXv0whcCz9/3oyrzv/5EpxRZ/DsKDqs33ctL0wexOe0rGZWmddTYj5nWGrJAUcAKMbVjFqVd0JkX6Td+W3cayyumZHBBpCbfEqyCDAxL1hqzTvdquiwzsfRKehFnY5gkpPtaCBCKTTZNGGHJzUlcMIb8iyrwWcbmXAFFhN6ekbCRqMjrpyf5llLNkjGxZx3z2nPTTDtCAiEYY/MzirqdARWkejxNpH8Pfy2BxSpWwdohnEJDUp4Ep8b7wuSGBk2WL4bQ0YCSip22rKN5HlQtQ1hnE2N82LgZ0PBxsFvO/IsIzKawciJLlc+f57J5o2UkLj4XiXbcXbx7/uvjSw2IPfxtdiAfEhekgPSAgQsGd2U+xT0u1LohOagfQ9PuWLu45SJ63NSYoK3Z7Gh0MnXVVstedgunDBxqktvQjCNB5qkSD81g6CiSwg3rNlkiU5/ZeGYpBCb11NyYHLKQbNx7cacHHpMDya2MPLclMg2aF7jxJNTSL64pmYGRfyYK5uJil0oJvOH0AhwW8QVOCeolIUFLDyIK3dgymRcycokzHfalgdN7IRXiPOhFbg1Jw8e30lb5T8/CW32FQQjhp+dlnT35EFMwUMprfvWcqDr36tU9WuBSCYfvWazl5KcPwxdev6w9m7Uzqr6tVlpoqixNs/h/zYuAzq1bh104uUt2vB7BljXVZ8/IgQv38159eAXeiQozP/kvFrzTjd8Pn2ekbB0nyOG8/xhV2hJJS+PSPBXoht/VrsRkyoaWoO3Z5VxNYNJ/kmPg0/JAAtoFiuUKNA3YlzKScp88KkZGLV1E0mq0qrPH1Ef3A3JNLhqK5oiIl3D0zp8Sz/AibFVSkFypa/5FWWTKNCOLoAv6GaXGOLKHSA3hadx7zEbh3IhbuMYhrb5S4dkUht+dlpM+8E03rOG1djGVW+xxOBLrv/SppSYZdk40gjKMC4StLhhM2+kpCAnlS2oBxa1G1D0csNknoHnwDwL2Y15PYVsoDvjYh7+xVfFLrz39WuyyryRktTz+jVZMZWa57DZYEHM37dilxcmVrUV72fD5/oxcX9hAlvGU7Y0jCwImdEQGdPm/RyKm9qNKHCIAC/ohxwkPO2q93/il81W6T6ckfVrs2rF273Y0uhU8KLDnjylrFUXtPFRCdpjJkEwqzXx1zKyJSRlL3bCm5orpdSxP23G2aslS5KlcRZ41yUr0urYnzZLgciGtXy3rTZ/6RAM9nfGxUwsNK2L9wYyGhd10N+NFHxoWorpt/HvEl14v5g3xOFQ/pDGrB/3Jul+F2dA6OkZgYGEp9AoV263JbWaqdvLamZh5tchpUykJxGudK8j27/az56QBvKDuyFvA5LCz5D3zPQ9RS39UKSVkQ5XtRW/E/Ot6LlKHtTZHBl8T3mGZRwJfuSZSU9BMIMzMfLc1D1wl+RB/N+8WdyfjcvT2CY8lhY5nXkB35fmd1LNuK1imGd4GmcWUeDBDD6XhtW4lv0u7g16opZXTqu8WUcyOfgqPOJ5LkJPz9wjCYuOek1G1VZLPlMqDUJzjlwTiS7tF9yQU8tqZ2VIkOjB+eV34e0LT7siXWt4MCtKA99JXEPLamalIS7ucMSf6ndsORNjJ3CNsDmPjGkZ3FZLJOCFvd7nzcEec8BiA67IsAlNqdyhm8zrKZG7ffLkzGIDch9fiw3Ih+S1MAk9OgpTOTG0RBuyGAzengWK9bAjvHJKCYjYi0x45mgxbB51BdEXnnLFsMYCOWBhKk8zcMPn+iXZNXnQUSuLx5HiPeoZrYkMzX9+UvltjTw9b3lTDZ2oThkVDcbEcJLqkTyI6V50RLP8H09LYjVNfnwVHoEsjVMvyouaGuaF+MU/C807omM2rkDjbl5PiSyKcjHjakaZ57E6X7IqI1Ot2CAkT3XrciJhC1j4b9TmLl2KiXrjm8eEulXdbEnwWcODWfhQhnXQ05WsbHvyh11JwWVIXewEGqr4UVdMeyxQzOspkaBEJiB/ql+TFf8AzYuBW3MiKfOdtFX16wMq0a3TnjMo4KjhDs07yvrOSmxz2rxQytggJnPGZTDiiw5reZpGCdMrxIT1QBZTZXphIhOeD8O4nJMUb7/tyISaxlLzvCXXRN4z05LxUb82C8rKeaSI+06BHBR7YQKTVg0o4EYi+NSM+Ioogah/KOvJ51psQVgrhSDCRI8r2vDK7XgIm9dTqroZk3t6roxL2Ab++Q//QLJzfKdtZX1npSo54AjymqQk0f3rCWF0FNcSpTS+U7Yq+swoCpBTtkgP/a4tXi1OBEk7ig268vmRUhcZw8Qz75lpSRqP97kyRScytLDXFVkSN5H1D2WlgCjd631Odeth4P3FF+U7BAEwyM24lJPPgfLJ+DF9398ZF3/IqT9bJphm+tMof6Oc6b0ffVwZj2aESBTvw7Zj4xc7gLyecNVzf1msGh4EurV0r6P+7m//QBmP4D4wLuO8iDw3pazvrJRtMaWenPKHp7XM6DLoTmyOSKRjGGbNZkzfea+uigzKlDh+FL//klUZkazRn0XEbMVrg6rk5RFs5zgV7vf8dZzu127MeZIf7XF6572AbKp5z4dSjgQ2MiekYTU8L0tWQErFQUP+MDKIiAEv6HflvS1rdSREkEnhlTtsyfooOI7rNTyJgQDx1isqpmUotjBcNTKBRiSUcuRrG1eykglRfAjnGBuQil24zv0Ofj9iZokTLurE82RF2aQMkkJzWoLX520lazciyLXosN70HnXVihI8jxoezErDW3hES4M1Rp1y4qpttjRksUF8vYWeqkSPB4CJnXBx36xBc21egDqAZ21xhyPBpETREjFNGSUHhrEB13u292kJ0nNT2PLe9PxXgayjVhaN4R46g3Os4DiGTYRmhKchEzXPQmnA/BGik+N3xmV4WbXNRpOjs0m4xYwNutJMMzOFnqT4MVfM41Xb4PMkjrmwF+c3YRMl+9GkUHnR9FYfnsd6E1h02BFa1tKlaJ6Na0DpL12aEqltIIfvV9CPz62sFcM9ek/9rq0CI4sSrPv5WmxAPiQvNiCfdGfAkdd6b24czMfTsnbOm3HlsODDg56G4kMo1qKj4Hkbj6VlSkNpR6LbFUIS5VPJdhxO1Vss5Tup6Uk3UkKy8T2BrIDilxAYV3BnXNCTlISQgMXmhOt6mncrdoKmwgI13odCOzyFQovGNpoOfads0RIvDGYijamw15UsEwbGUQtrPJqRKT9lO5SqEHvIrUzZHkdMkjSUMgOg4LgrhliGCMaP4fdJHtSaZ52+vlDKEx11Ja2ehSOxluW7sY0gfYahiTSMS2iWlrT5be8BFsyisOLUm6FO5uNptWRFWiV6UDSymDIu4/ph0CP11SUHNE3qhQlVvcVSm790SJUccFTPu9tVUacjVJPYCUjP4n2YBoZSuoF5JCuwhGDGEeoOJ/yR56ZU6SvDCKjT+N1gxlF/+jefFAhAbBAPRl7Tgaw3ZTNvpDz6ip6GUaKQP+RKs1jY68oUOHh7VjXVz6nil0YwMWyxxe8TnnZFK03ph1IKU18tOyCauPilEZCGZlBMl+3RBnIXTRFpMzQNc/pOnXrBcVfY/h/cDSnzgiV+guotlhDBKJVMtnvvX8GdcdGIc/tCMg0zQYJZvH/BjPeQJhyAG6NkmweeCE97uuvQPP6t76Qt2wkWStFRfMYPfqFH7tFffFGHnzejPWhZL4eCoADiSZsaMRCof+M4kKQajFF4BI1p/jDOKOYeMXCPhS/vi/xhSLte/at8+T3N85Y0wEWHHcF7kkSU6Ha99POXR4A9HfAybJhLwzA4QgWCWUeC0cyzlkq8OIatVDcKr+pmSJNWVMDnxC1F3qwjFKzYoJaTHMJ7GJ5yhaTU+OYxbEFtfP3y3R56t2IXPpOlS1OQYeqguQ/uhpTxSBYBf1cQoBc/ChnX8uoZ5TuJTAzmKvhO26rn3e3y2RPHHBvEteS3HdluFHWi2SA5yTxvScNGT8nKJIhfvN+NyzlkPGkaYKIL/5d+l5pNlgBU/LfmsPF+ch5et5P2PR6QyLjGKw9ryMILE5DAbrUEDV2zyRK/Czc4xAVTzsNBU2heyxwn8bvTK0SqWqLbS7CvbrbEaynvxSNomIo6HXnP6tdkJaeFz7W8WZy59LUEM5C6VW21lO8Uvp7v5rxIt5rq51TyIP4OPXkMdo2dwDOmuhnhmcbDWbmWlEKjVrrPkYFI47K0yOsYFFzW6ohEKdGF6zk074jvJ38YjSvDHksOaOWE9j8xb8a4DNVB7YacyLh5DwZyjmzAqpuRwVS9xRIyoHkOxMMVFdPwfmq4SqLLlS0ON1E1m/G7VOxE89mwOiOesKqtlgQhlxzA71n/xnGRlkZHXNmu53ctNiD387XYgHxIXmxAAiNIFE70uJKsat5Iqbr1QOXxIZ9sd4Sp73dsyQswr+Pf7/rj/WKEK+zF4UPiR2GvK+m3RYdR7BmXc1J416/Jiv+gZrMlMo/8IRQyLAKNq1glG49CYsWHdrwPhRuDEClJooyl4LiHGoydQNERnsSByWlidBQPjoYHs+CbL0hCjx/1TIDlu22Z5plnLTHa8kAuOYAHU+UOW7YjBce9gLlQypGgufo3joM0dS0jmx5uSGh6K7gzjvW2pnswfZbs8+iIK+ZEZhyQyrL5S4fwgNPZIMmD+F3jfV6oGiU+wTQ+r/AkCnduiQJZR0L/uHqnp4dmUaUgLWLgHlG7RBcymK5kv9YbP5oRKQ512iUHvKaMxnnq+EnnYeFsPg6CCn//8hZgfo1LoEKZZ4HR9Nu41swbKUmz7vr6DpXoctVPf/wJyTtp+Fy/ypv15E0Fd8ZF507kKWlRpKlFxvEeUrcczOD9Mh5Lq41f7IDm34G/yXw8LYGNNZst2eZQx26ehYk3kMWm5dW/ylcFd8YFpUtsJaecbf97two/Oy3FY+wEGuLj39giD3K/Y6vGZWm1dClkTguNn6X7dNBex4LC5CAKIJLg8p/HdJODg7xZFGS/uIsAACAASURBVNZVW7UMZgCFQsVOL5ugZpMlRu3oCH72HV9pkw0IfUakOVH+Fr8zjpTsX4HhzZvB57GsdlYF045IPnmtMWStuAO/ExuSUAq/B0MHq7fgeiju8IIlIxOYkjcuT4s3gtKh6CgmvOFJL3eESdPM9mDTWNyB4jc0p438855PjsbbRJcrTT+laAV3xiVLIzagt0sTGPJUboe8xLwAGRUnxwwipSdLKfiKjCtecrfvlC1kQjaGLHIbVuOs4fVAXKnxaEZgIpU7sJkwz6F5LTziyjSY1LWqbXiPiXP12yh8SUKjCd13Cj+D8UgWEt5XhpGwfsbbcLLwKzmAc5E+J75HlduxzTMezajGZZAoFfQjC4QhceUtAGsUHHclc8U8C/AGGxBm9CS6XcHWkqAUG0Cjw8l55Q5bDO/8/JNtjmRrBLP6+XJUyz/11jjRjXOCsl0iyYs7PDR48SFHFX1mVBrA8JQ25e+GTJjgDjamsUH8fPSHxftckZ1VN1vyOdatxybF/ySgITWbQY1qWJ2BZ2c18q1ig3rjfQzNGDebC++5kv24f2o35ATjXLpXU8I+M6rq12IbWLbHO5cEAX4chT8bkZpNXuZM6V7dXGiVA+/VRJcrUmo2gMyz4VaXMs5kO7ZU8aOuWlY7K/k1oRSaBBLySg7g/1ZtxTnmtx0ZuMUG8XVDKZxhBOoQSlO7MSfSXQJ3Co67qvEznYsNyH18LTYgH5IXG5DQAGRHpMYkD+IwMc9ZqvzVIUyntG/Df2tODrF4n6uWV06r+rUwNiZ6PJMiw82I66TBnSZW8vgZ1EXSFuURnGCTIkRKEvWbTD+mCa9qqyWG0vq1WWHlUzNtnsN/D2a15OMwCvumt/pU3XoEA4anofU0Hs5KDgVfXA+HJyFpohckf9iVqRj9J/lDrpiSOU1uXI6HdKLHVSve7sXDSJOTaAov3eeoFeVTamlTCt6ZbbZ6570A8jKenRZaSdkeTMY4CQ6l8DuRpMR01+BTM9Dka7066Sk0gFdttYSEVLshJ6vtkgN4cAWzeKhyc8OCkg+K0r2aZnMVIV8MkWKhtOrjh6HR1jKURJdOqL45LzpwbsMaVmdU8KkZmYSGJ70E5sodyGrwPYHNEqkspKAwbbm62RJiTGwAU9zQPBou3ylbMlmCWUca6+gIaDXLKxH4R1wpPQUEIoQnUfww90EyaHTxTvkYQy8bHsQ9wSaEeRNKKQER5D0zLd6Csj1o7IjHJGSAzTPpZMbVDIzO5y1lXrDE5MkgQWJYl1fPQD+upVdlrfiaH9wNKd9pW96H4FMzYuCOTHg+HT7848dckSlGxrw0YeORrKpbl5NARjZIeTO4HvKHXLWycEz8DvQQJA96sjG/gylkbNCVsLWFKFC+yluQ38GwTAIsGh6EiZX0rdgAPqOSA46QyQp7Xcmv4f/4XhJRWrfey8pgEn10BAONwiNeQB2Rn/ys8oe8v5s/pDGo2kC76vNHVHQE0sqS/bg+S/fhHCg67AiBqeFBJC3Xr4UPLPzsNN7r56bk33FDQmlk4/I0tpJjroRbxk4AHczzMDztCoJ2xdu9aIS16ZjFMn0PlTtsoYpV7EIT9ZW/NiXpOjzpwotyKSd5L8vfOupt5oZRFOcPuxJ0WLYH76ff1lP5w3iGBNOObMI4BKJ0jpKv2AltKNZGZ0IN6JOrfygrtMT8IVw75jmcVwy2C097PrrZb61RqW8/qJRSgmClmTnvmWkMhrIYCpmPQ2LELVfshCvEKkI52JDEBtDosFGJTHjSVhLW6tdmRYrFIL/ajTkZ0FAqtmQFCISJLt0YnbTF35FswzXKDaHvJBpT0udWFo3JM9L/5LxaVjMrHjL+PsYVnFvcCnATVrsR24eazdY9zf/SppQMuvwOBgolBxyRkxFgwI2P8WhGBkzxY/i9Kd0q7NUkxqOuwCH454kuTZYa07Lkaxm1ZBXqC7/tyCByyaqMDB7yZryNV1GnI88H3iv0ecaP4b0s322LP47vBT2HkeemMCBckM1TvtuWM5wwEnoffadsFW9bzAG5n6/FBuRD8pIgwj3zUmBW7rClQDPPWWJczZt1BBHI6W1sECSLwiM4KAvujEt6dcUuW0ypiR7dCGRRGNS/cVwSpKkz9zu2PDA4kSCmlkVpwXFN1Zr0dLXFh7Q5fhJNTO2GnMhfGPJWus+RBPUlq0DZ4iSG/HM2L6s+fwQZC2ugK+YrfsyVopghcbFBncCryUqc6JvnLMkZKTmAB7RxGYnVAUtPSudhZF5YxHKyzqAu3ymP5lPWikmoTNa0SY+Tx8SLY/JQq9kMmlL92qw0bJFxV5CQnG4Hbs0hNFK/B+FpPGzzh71iKzLh6bYj4/gs82Y0WeeIl6itlMK0XqMm6ZmhrI05Im+/FxJ5V+ER15O4jHrXE6UzlTtwDYn8QBvAzcfTyncSD5WaTZYYIWkIj52ABp7oxppNlvLdnFf5z09K8clJpnE5p6peH8CmQ+uuazZZIiMrOuzJawqPQAPNz5t6eN9JXDuk89RsstSOr7QBFjDlCj43NIfrif/+m3/zCZFr7frj/Wrim+tV4NYcmoFxSIXof4hrOAB1yOFJfFbMiDDPWerp75fIJonhZJSKVeyEnMtv4+er2WQJdpjSxP/7k4AyHktLo8nCJGDh+qMvgU126V5HVbw2KD6f4kPwRDFThgUCt5IrkxOSkxN+dlq2K/UPZcW7xfdo4YuEpKJOfS6dt9QHd0MwPXOzp7cSyyunJYituMNRR9/dijwcDWOIncB1WfrKsCrucNTN75VDBnI1I/Ip+rw4OS36zCi2Yv3a8K/hCE0NkLtUbbVku0laVMkBFE+RMZ0Qr/GkbF6JDia9qGobzrtgWssw+z00bckBNKnMUKJ5mmewUkom5pQJhZ+dlsa1uAOFbyjlyCCooB/3AbegiS5XsnWCT81I5oR51pIwww/uhpR5Fu99MIMtCJG54WmcO6QMGY9klXER98/st9aI/2H5W0clzJJbcZ4jpfsctax2VmRcTPoub7Elhyl50JEmkVLEwiOu6Pa5qTHPWx7u93JOvf8Tv1xL9Wuzksxd2AtkrN9G4dq4PC1nK8ljpXtxj9evyQqdjjIe49GMql+LRpjmc24jjEeyci5w45DodsXHQ3M6DejccucPuyL9CU/hf/UPZcUfQvM078G6dTkZ2DF0kOdGxU5b3jNKAKu22fLzBSxcp3XrEezHV/luNAz5z0+KAZ7SrvqHsioyocEl9XOqdgOaI/rjSPqKDeBnb2pEfUGZH0E0xALHTnigAeMRFP2rPn9EVW+BzMtvew1f4RFc843L04L/Z6YHQ0Tzh1BDLPR05A/h31ZvwbnHjX/pPgxElqzAuee7OS8b1UQXzjrWRkF979cum1psQO7ja7EB+ZC82IDkd8FESiJUxU4cttSmVu7AYcuchfA0DsGaTZZ4OIoOO+pvf/RxcPQb52VtTFZ6zSYkSgeymjuvDyoWKqGUI6v/8LQn3aGRkNjFip22TJBrP3sCNBaNngylHMF+GpfRlHBjUN0MKQF13GwOoiM4mIgfpqek+JCjHvxCj7xXLN7C0yjWzPOWJB8vbUoJVSQygaKwoN9b0TN5mEZvek+CWUcIQeW79UN8k2eKLD7kqPznJ0X2tHRpChKItCOJ9OZ5PMDr12YlSZnyjmSb46FateGZxk7j0YwU+aEUDtaApXNJZrDBiR9DWNyt75fiPdNcdBZndetQVFU3W0opJfr4itcGsdHR2OSApTM0Rt17TH4Vu2wJlSM6k0ZMv+2I5CsyjqIxNIfi0LiakaaEjH4a6UmhIdGm4XP9kopMj0N5iy1J3YEsJq38/saVrASGUXYUnnSlqYxM4D0p6PeuE99J+x4ajPg09IOQRkqa0CPjriTah6chm2BAX+V2yEgaVmdkkl3Y6z18y3ejiTUu5ZAPkUNjQE+QGHn1xohQhGV1c+IXIk0mOgIaECUnFTtt2RwVdzjq1J8tE8lHcYejvv03fyip4qGUI2FnBBmE5h0hhXEiTr9JU+M8zNc6KTzep//esQXZGO34WX/xxXwS32nII83zkGhyCkzfBqfioadnVMDCn138boMKzWkq0RvHVSi1wEPVhu0Y8yx8JyFbovwm2Q7ZELMF+Psmurzck8gEmmbij8PTruB6o6OuKnl5BPScF8fEDxWegjE/3ofiN5hx1KGvtaiazZbIHqu3WLK1XFE2qWo35mQow69PJLpSkIgSuMGcEuMS6G2bv3RIGvNg1gNvhKdd8TwwaDF2whU0r+80mlYmWktgJklKumkMZtGcMNX8+b9MCAo1/Oy0hH4uzBhZsiojWNOCfnxtghmKDjuC8o4fxedRdBhnJU3RlIrVrc/JJP/m98oxSJnEZNu4mJNEckqwOO2ubkbxTDADZVJ8DhbcGcf5fCknGGXzceTtcBvObVJkwpXrMzrqyia/bj3OS54lTY3zQn7kmUzZnu80niXL6pB6X91syYa4rBWfD2lb1Vss8ZvwPKNMrmaTJcOOqm22JJiHJ/HvzespIXDRPM7rvmF1Ru65hd6HeJ8rjV5kXL8//d7zxXgEzRHlc3Xr8JkYF3MiyQxP4vlVcBxnbHkLQlG5dapuxs8dntJoex0YmTcDstWSVRlVsdNW5/98iWQn8boqb7HV6kA/nsE3AW+pW4et64ryKZXowrMvkENNUtjrAQHKWh3Bn5fsd8RLw2dT6T48x4yLOWU8mlHVWywVmFjcgNzP12ID8iF5yQakVa9tJ3DDEy9IYzO11ZSXcG0cHUGBR/mHecGSBwgPSur/y1qhzazYiSKouEPLQtr11OipGQlkig24khWSN6vJHbeQhRCeRBNC+QfD6ip2eti/0JwjaanJdkcwo5XbbWGQ0wCZeHFMqDJ8uBR3aCnJZW8ilGzzsgrKW7DB8J0GN7y4A9Of4FMzYiSkUbmsFQezec4S+kjw9ixSWbVhPn9Y06QO4jBvapyHN0J7SYIZRzIduEIv3eeIVtU8Z4kBkO9xdbMlKeJMlGeSbbLdEY1ww+qMTKKrtqHgYE4EC3f/rTmVN6vpXppotjBMr/4hyECMKygwo6ModpIHta78SlaoUEyHX1joGNdQjBT2ulKELVmVEUwlt3FC4hrTpuMhz+RYuyEnAVz+J+dFJui3UXD5b83Jip0eBa7bg2lHiGABSz9UH85KkV66D94Hhr1RakTaVuGRe4sW/5PzKEyvZWRCF1xQLEqzuRlFZtv/3i1ylfhRV8zm9DslutFEm9dTUmgvq5uDGbfbFald6T6dGXDQ80KUtTrqT/7aUOUtmOTWbgQqWbwdOqG7bj1MsvGjrkxiKcGp3G4LnpiNaHmLLRuCyDhkYPnPT0LLrmlx9WuzKtnu5R0wXJSys2AW7ysllCQC/eKr8Iirmr/cLmSkyAR+NpqOKcWMjrpCLarcDv/Vrj/eL36DwK05QRNTnlm3PofQtHPwNBV1ouCo3ZATYhA9XsHbs0CbplE0hac8uVpo3pGin01eeYst8IaSl0dAhztti7G4+vUBteMrbcpv432m/DGYxu9VuQOFVv4QzrJgBl+zuAP3Q6Lbe7+KDmtqm95yBHKO6vr6DuW3sYEwLuVUw2o07uYZW0I2uV1OHnSkmKanorgD91t4yiMWLlmB35vbPX4evtPYqrLYLDqM34Nm78hzU2L8Ny9YqvHNY0g918hi+gSIduZWmDIy85wlHpzYoJa8XYD8Kf/5SWm0kwfx88T7kIlC0hMbEJ6TRMozo4JZJeEpeE7YNPAe4OYobwYNbnEHzgwO10Ipr2gtOqw3/Q9lhVzIfKPaDQjALG/BddC4LA3PzklbaGSlez0/ZskBnG0EHoicsg2fRfFLI9KELEQcG5dyuNZ0JhUHVtXNlqpbl1PGI1n5u2V78J7Ry6eUkmsj0eVKUGh5i61WvN0rsknJ9JrUZv5B7+9V7MJ7Q3R85Q5bkLt163IyJKvZZIHYqLeB1c24Bnw35+UZbFzLiNSKZ0j5q0PIBOrDtcGGwrwAU31ZK549sROuEBsLj7hCeaQsznfaFqpb3qy+Lp4FopnZSUQJFx7REQRHFk3o9/O12IB8SF5iQh+dF918cYe3rl1ePSMSGuNiTiZ/TCKtbsahM/x/NqpEN8yFNZsg2ahfk5WHR/jZaVnf0lRW1OlJimIDmIpI8FevZ/gyz+LrEYUafnYaBlg97aeB0DxnSdJzYa8ruEyufc3rKdCwDnthgf5bcwhDanckPC6Y1TQrrfnmSwzShxzhuZvnLMEnVuyEXKrwiJ6aT+EBal7QBCItHdnxlTahzVTsxAM40eN5KpiVUnDclfRbTmDN8yDf0IRHqVPpXkgs4nfGle+ULYc4w9VIGaNXh4nSNM2TCJZsdyT0qW59Tv6cSd5cw4uUxHJkIqyUksOdEr1g2hEdfcFxPZXUD77G5WnBcLLwSXTjZ022OaLbTx4EjYSbEMq5km1aZnR7ViXb8Nmx6WNGC4tRSh2KD3kepGU1syqgJ7dFnxlV0VFM3oo70ATkzUIfXtiLQtG8kVLJNvw+KyqmkSic9ShcoTlHRT89iWnaw1mZshmPwXxO0o9SCvQ0vaVrXJ5WF7/boCq368JYb9I+uBtSe7+6VybzAd2AR0dhvGVWAfM5KKVLdOGaoQGWBVD1Fvxcvpvz2JLpMEcSnhhMVtbqJQdTgla5A00a+f+RcUjcyl8dAmhCS/zC01qy1ImCkkGMzJQIT+sp6pjeImrjfdFnRiXLpKD/lxsQ6vD3/0mrqv3sCcGU+p6YFyS2ed5SkeemlHkGjTQJZCUHtI/h2WnJE0kedNSOr7Qhx6XNEQPuklUZIeTRABw74QqClTlA0REYX4s6HcmCKTziqsFvbIK86JGsWlEyietP06fq1uUk0DU85W1R3v+JH567TvycoTkU7ix2431eAvdC/1VkTOcQvTqklFKQ+p3wzhF+JpSoscD/4G5Icl1K96Iwjg3i7OZnULUNZw4bVXqbmGkRnkTDGh1BY+V3bMlkor+noN+VHBVuSUk8evr7JZIXEZ7UQIsTkBmV7NfeEUcHzmn/IRO9fU8gpX5hEGWiRzek+x2ZYrM5CFj4HmxASg54uTyFR1zxRVB2wzR2Bs4WH8KQxn9rTjbRS1akRQFQ+sqwSLRonGaQY9kebCfpb0i2e+Go0RGcfZT+lO5zRLbLxrK8BY2P7xQaUfMMhoBj3/yUbFQpQ/U7wPM2rM5I88znGO+PZLsjW2I2zTWbLbWsBrld9KgppUR2GXp6RraFAQvPbPN6ymueBl2he5W34EwiTYx+RPM8NqLcnDcuS4t/yLick7MskHXEN8dhYcl+PMOXLk2JUoLeLcq3AzmccU31c2rwG5uQC3QG59eSFUihb1wO6XHlDltynOrXZgEE0XLg/GEM68JTrmzBV0WH1JIVadkyx/tclXd8sQG5n6/FBuRD8mIDEj+AoiQ2qDcJt+ZUxWuDCIM6hxBB32m9Ms06ElBGWRQlRQzAyx/GdLdhdUY4/+Y57+AN5BxJV2YgHPXqTPMm451c/8i4Zxw1rmK6HXxqBli8Yfw7mh/9Dg6vQ19r8XCV2m9C3G7lDlsCjTihLt2nUbDat7LQEBvM4AFlnoeUzLiCECxO0kJzHjKy9JVhCTckAcu4llHr3umS1OeC4/gZajfkYISc1pSnNs8TwtRymg2ZXr5QtsCCxbjsheXFBlzBAhPbWbpXh3ud0cSRHo+uwokhTdh5M16BFMw4qvzVIeV3bXnAsIHznbYlCV4pJQnCwTSkYyTK+G4i78B3E/4AYhQDOUcQw0zjLnl5RKRJJftRIDEckkGN0RFMIdn8GFeyQlmhgZBbrsodthr+PxtBZVmTlS0NU4lDT894ye6WJ02i/jg87YpUjg/Rip24dvKfn8RmTDdjNZstQfWSqMJihFQzpZSY9xeamynTY2FRvltLsvQU3HgYJuGyVjQ6LB5ZFCV68JkzeFB8LPpeIWe/fDfkK6X7dPr09ZSq2GWrxuVpyfSJfnoSWTy6gazdmFMl++EfCuQgpyprhayO5JuaTR4uumobthI0pdJTFEo5kjBNik/A0ubxqzgrmhrmf+mc4haWYZ5sOGMDHu2KUrzSfTrQUiOWubXlUKO8xVaxFyZU3jMIYCNEImBBMlPx2qAMP+gnoBSosFdvG7tQ0BL9nTfr3DMgyB/yNP4l+1HEM2G5oN9raGi+9ruYhscG8d9jJzycuPEwgBrVzZZ4yahv58RZKXhA6tdikvzB3RCkXO1eMU85SWGvHr7Y2KZQMkYpHtGvzMvZ+MUOVfzSiHzd6Ki3PTbP2IJgb1yWFtM1PWXRUTQqgRxQ27EBVwZOTW/1qdig5/UIZnXjr4li9JoRrZro0b4YDRKJH8N2K9mO+7BufU62kcWHvMKfWSRsQOT8325LUnj9mqxIc+JHsTlZXj0jQyMW7rx+jcfSQoaMjLniD+LXKGvF75/o8XKpONyJjqAAj466slFPdOPcq38oq1YWjSnfKVu21sTy8lqiET86gs+NJDYqD+JHvQYy/Ow0PDq2I34i30kMmAqP4Gf2ncTGmLQ/vip3IFDYeBjbAz43OEQwz6ARXVk0JlQ/3mN+B58R837Mc5YEbBIPT9gNPY7mOUstr5zGeak/I3oueO/5Tnvkt+otlqgxYifw/FhZNKYCeqv/wd0Q6oaxBWoBnXHUuDwt5MXkQUe2tYS3NDXMA8qiSZUcciS6cF/+kTW72IDcx9diA/IhebEBSe7ADcfDM+8ZMLUrXhsEeUdPZYzHcOMGMx55hhPX2AAKLr9jC0p2ySpIMZbVzqr6NVmwxFPeFIlprsG0Z3DlGpoccno68odRKC9tSsmEnSGH4WlXAtiMqxnZspC2lGxzRAOb98w0KDIZTCWp2w3kvBTbQA5TyoYHs/JemWctmVoffXcrtjMXIIOg5IxprpRIMNypfi0IJOaNlGi/mehs3kiBuKIPUxqNq5stKcTJumfRUrc+p/y35pR5FlNfblCCGY191Q2bcTknCGQmv5Ie4n9yXkg+nJpWb0HwXt06FKixE9hUJNshw2Jy+2pfn0w7432Qhyil1NvvhVRkHH/uvzWngllHppDxY3oKp6kuQi3SiNpEjyuaa3ormhqh5zXPetPTYFr/nPNe+u+SFdBmGxfx2UiDMOxJDhjCaFxEUxR8agYPZx3yyMC1QM4R3DLxocurZ1T16wMomJ6dloa78IgrZBpm2jB7hBO42o05yc4xz8Erw6KNyNCCfoSYEblqXM1I8Vy5HYMBSek+h8mccQVoZRYW/ifnhQxGmR6L3cJeVyQ+zK3xnUYBIBSjPhQ0bN6qmy1VuyEn1zCNx2WtjtCyWCyGp7xtGgECxrXMPUhZvl/lLd52hjp5kr/Kd3tZKQtfTDRn+CED9Qp7XclUYFAawynp0YiOAKXL8ETjUk78VcG0Ixp741JOvGws4Ku34Dr89t/8IXwCGh0eGXMl9K9ip41N0LyX2fDoX9QgVFVLS6pfH4CU9IUJ9cHdkBRR5o2U5ETQG0UiHIuq6i0YAAWyjmywYgOubCEJymiqn5OwOw4OiAEOpvV1pQED0VHo9AuOo2CMjOFaoRG+YieK1NK9kM/E+1D80bxN6ZPvNAYaTEVf8063TK6Zxs6GkKhmStoo0aSp22/jc/jU/+rEEEF7w8wz+Jnifa7I0oyrGTFrF/a6koCePOhIAB+/J88dNiAB7ctjDhO9iEtWpAET0Nuv8t22bEryh3VY4IacqtmsPYR6W2hcgVcyMu4h0UPzmqzWhmKY1zqHXuZ5nVlyHqhwbnXq12YlAyh+DBCK2o1A4NJ/w2usYXVG1b9xXKAwdetyyndzXnwh9DGZZ3Fulu7DuUspFH0qC4NujcfScs9FR3CuM7SSCeGUyyW6XNmmFxz3Gi+eOw2rM1L0c3MXP4qNNbfQRZ1okleUT6nKHbZsxf2ufc/QpmaTpeJ3xgXoUXDcCzzmBr26GV7L2IAedszhfkkexH/zndSksjH8Xsa1jPwuvpvz4uOkr3Xp0pSQsWo35CTTZFntrDLSc4sNyH18LTYgH5IXGxBzbh74yv0oTDmBI2awsBc3LTGTxrUMwsnS3rQ4b8bLleCkgRr78t224GaJKGQB1vjmMTHalu3xHkgMMAxY3jo2YDmCFqx4bVBQosUdesIzgEO74DgeBoLb1VsD4xISvJPtjmD4grdnRSNacsARI2cwjcklX+b1lExs432ukFxCc45odhM9Wgr2yrCYMEmFKm+xJZXXuILgJ5p5GRRoPJwVTXR0xFV7v7pX1a/NqoqdNihOw55PhBID5gzkD7kS8BXvQ6HGn1lyNjSKMDSH6XXFLlsOdWJCo6NY+fNhYF5PyVamZL/2vVywRBZGEpdSC0K+tIE8cGtO/fTHn1DmeUs1NeC6uvLdOuh4teQq2Y6Hlvl4GqbFzXrDdAnFO/MmyMpn6Fd5i63u/u0fYCp8Kae6vr4DfH2tzSb5hN6Whs/1Q5oygYKEiNbSV4al+Cns9SQ3hUfQ0DDht+HBrCq4My75C2V7HMHZsliq3I6the+ULYW182fLhfRSuQMSB3oSiEWu2GlLmjMpZKF5R6g+CzeHTY3z0jxUb0FxwRwcNtN163NSEJG8Vt4CahPRlL5TthguaRZn2By10/GjmJCaZ7FdpBa+fLetNn6xAx6Pg578jU1SdARNAD1IZa0o6psaMWkt6nRkG8m/nz+M624hiYevvBk07A9+oUcFch6BzriWEckHm03zRgrSNE2BYr5AoscVYz9pfktWgWBU8vKIbG/8LqbP/J3ZVIafnQahrgvXG+8pmmmZA8SmMH4UjV7thhyGOhrrWtbqSaRigyg6gxlNOjvqSi5C/RqNAM15cIwlq/DzF780ooo+Mwq0rW7YmHTNLITYCVcK6kS350f7xfA4Ni3085Qc0FupQVcgIpFxr2EIahph7IQrm9XfTQAAIABJREFUpKCazZZ8LzaYyTZHzrPqLQj7K+rEOR3IOtK8cKOZbHPE40UfDH/fyISWNOlGkdQt6v8Lj7jik+AWJ5jREio9DGIDQv9VcQcgI8QaxwYgqwvN4V4p7MX7wYDBms3Y8uQP475qXJZW4Unc08x2KejHmUE4B6lYlIPmzbgeyEW/7ySamecsCR+kbJLkRN77NZsxcOKWt/iQIzkjRYcdtaIExCoSAY3LGObUr8nK/Rs/hvOBjRMR5uEpb5CklPKCBfW2rW4dGu/CXvw+RZ1ooMtb0IDGj3mqAf+T84KJb3gwKxsiIqtrN8CDQt8cpVGUNEdHXdmEMN+H70VxB5ooQiFqNlmqfm1WGi/KTuvXZiX8lr7F6IjrqR6GNTa/E3kiVVst5AS5qE8qt2Nr1bgsLT6QJauAYW+oGV9sQO7ja7EB+ZC82ICUNs9JMFzo6RlVeMQVXSYxiIluVwhKsROurPdrNyDjgb4F+in4EK7ZhAAthqzxYcjpOwk/DEUKzXumr2SbIzIWyrjyh1xZ5bJhiA24qvilkXv8B8ZlFAlkeUdH8bOxkM0fctWxP21GGKJrS8aG7zSKj7wZFBp8kdbFh9y2Lx9ECu4cDm/zekrVr/UY8TQsm4+nhQhU1ImpV2RCm94HNAf+KFbw3LAQc0s5W3TEldC40r1ofCg3ICUs0e16Rame/JS32PLA5ISQWSXECUvhtxHJ65U7bCGb8aD2PYGC2bgI8lJ4Eg8RNp35Qx7diSt+/jdq7Ku3WLJK54HOLAAWhJExPMTq1uXkz8LTXqgXQ6gSXfjM/TaKFuZ88GsEMyhkQnO45jZ+sQOJ8loWUv8Qmj/fE/Ng27c7EuBoXMX6nkZnQhKY67D3q3vF0M3QLOJ8azfmROJl3kgp4yo2gMGsoxrfPOY1INp8W7sR8hTzeko0+6GUR2rhfWdcxrQ9Mu6KX6Vkv6Ou/UWVyJlIQ2OhWN1sqTXvdKuCO+PwDIx7qFqicPNmca2ySaMMKDaoA9yyjoR6mmfRRNII6ndQODEfwe/Ycm3Vbsgp3xNomMnjZ9o8Ne3m42kpLon+Ln5pRK2omP6lc4oozKLDCDvlVs24AiJWdBTXDYt780ZKMNCRMS/gjr4XGqjNs5b83Awyi/e56uW/KhAPVv4wNhnMRGChEszg/nP+bDkkqid10boN5uNgBj9vw4NZDGZGNaHt9qwURJFxV9LF6T0KT7uydSBBiVI7v+2lRTMEk0OSqq2eib6o07tm48dcGZqEJ12Rl9KfQllmokv7nnSjFMjpbAY9rKGPJZDDffnB3ZAqeXlEGY9kZRLNrBnjMXgDuK0yLnpSQN9NNKHlrw5h2u3g+qLnqHTvvVuM0r2azPfMtAAZaj97AgGoEx55kIj0QA7XGMPw6FlauAHhlLx8t32PTKrkgEfjoymbDVfJfkctq5mVZwTBJvRBBrN4Lyn9S/R4gwzxpI16vgzK7gK35uQa9DswadduxDauZpMlgw3jUk6tKJmUa4/DsPCUxq5fRGPWuDwtzyjjsbSKvTCBUEvtI6rZbEn4r+8kzv3Q0zOyYecr2aY3Hd3eEITySprdE91e0CWvFeNyTn7X6CgaK1K42ITx2UXpW2QCZ1J0FKSwyDj+G+9Legurt1j3eFpI7KzeYglWPzrqQTn4OTCvh+dfossVAI7vtKfeqF8LybN5Fhsf5onwfov3aUjKpsUNyP18LTYg/81XKpVSZWVl6nd/93fVxz72MfWpT31Kffe7373n77S2tqoHHnjgnv9VVlbe83fef/991d3drX7/939f/c7v/I5at26d+tGPfvRr/xxsQKI9KZAxHkvLSpWSIvMMJnx+W+NNT7jyQOUKnAZVFjf8/zn1X2gUW8hRJ2mHkgn6Pfhw9tt4mFTuwM9AXSonpiUHcDgHLByw5a8O4SF5aw4Fd7vewmhCSGzA2zgwiZnTLprgSItKHvQm+0pBE5voxiSWYVZ88JXsx8FbvhsHLR+4tRtyINJYOPgCOY+wtLQpJcSUuvU5oBxfH1C1G1C8lrXikGaWAs2rkQnIbcJTusmhmVJP+wp7XZnokywSnvRC+5a/dVTFTngEpoXbqUAO037zjC3UMMp2zv/5Emkm6taBYBTIOpLArhSatKVNCFczHs6K14Q4SSakV22F7rduXQ7Xwi5bpqn0u/Aa4Pdh4BUDMJlAXL8WzQR9NgzsCk+jOIxM4Fr2PzmvzOuQvYWndU6D1qtHNT6Y02ymH7OQql+DYMJrf1ElEiX6B8JT+L6kwpnnLHnvKaujHj+Qw7SaW67CXtCdzLOWCj87LQ06qWMk/hQdRqMVmsP3LG/xaDtle/B5FfZiQsetW2xQ69zHXPncK3eAYrOwuCKxTe5rLQPKH/L+/ZJVGVCMtqCYoBejZpMlhnd+HuUtKGh53eYP4/f322gUGWya6EERmD+kQ0oPOWppU+pXUrAYGMkGl8Gh0VFXCpmA5Qi+1XgsLcSkuvVorAv6UZjMfmsNJtEpR62KjyKrYNIVUl9Rp/ZsXLAkHDTeh+8dHUEzUr8GuQ+FvRhS0NOW6NYEMy3jo/SmvMVWiRfHoNP/zKhKtmHyS9koAzSNqxllXk8h46QZRtr4nXEx1i9ZlQHN6JgmMR3yrilew/TDMdWdlLPwlJfqLpk7uikwLuZQCI7rkL92fD7xPlcS54kLL+h3xdvjt4F6/eBuSEXGPAIZpbU1myzZKJccACkwbwZFeEG/RzKjVyvZ7qhVeSfkvQ7NO0Idi/cBquE7Bc+CecaWZwlpWcxUWlUwIhkTJCGyAYmMeaATbpuio3jG0MzO1OzaDWgM2aAn2yBlY3OYbHNksMLnRWQc14h51hIZVkG/Pp8eQX6G74l58RSW77Zl68Og2qJOR+6h4g4vvbx0LxpQ43IO25kFZ2p0BL8vEdOUkjGTJzTn+SAL+nXz8OqQKjngyBBwofyxsNeTQ5fuxb0RvzMuWzc2cRU7bfnsKfNl01W1De8bsd/MFDKuIG+lbh3uTeLWK7ejGSBghonpHBAuWaVDSz/Xj81ej5fV4TuNLcqSVRlBTofmPLgDJW7Vzfhcqpshf6tbD1UEEeJsqCp32FKPNC5Pe+Gw5ywVGFvE8N7P12ID8t98rVq1Sl27dk19+9vfVt/4xjfUmjVrlGEY6t/+7d/k77S2tqrVq1eru3fvyv/+8R//8Z6v09HRoT7xiU+oN954Q7377rtq6dKlqqioSP3Hf/zHr/VzsAH5o9wsMis2WzIVCk961BM+IOvW40HOB1RkAkUMV7jGtQwOi1Yvpba4Q+vN9SSNmEoSQZJtjmr+cjvkPLpgYxI6cx7KW9CskM4VeW5K+U7iUAlmtalZ65g5taGkwnfSFj+EcTknaNm69TlJDw/cmgNV6oAjD2zjSlYtr56R9yo6iq8fGcNBazwMlnn005OSqstiJjqqJypvHJeJIx/aJQdgDi/q1OZxXRwFbs0JOapkvyaEzUJuYjySFU117WdPyJTO79pi5t/25YNSyAUzMDwWvzQiW5eyVhTclCZVbcXXDz09g4fYsBfAV96CDIklK9ISQhWe9kIjK3d4iGSGTiqlxGxM7wcNucblnHgDuCbnVJq5G+UttkgrKl4bVGV7IDdKdLmS2Mw1OvXblO+YFyzRapfsx0PCPINCODqqZXk62I3FLAvtxmVpfN9JFNwF/XhQ8ecv2+PcM7UjIatms6Ue/EKPbANrN+RAzzmMwpzI39J9Wqp1wDOhh+b0tuWxtDKuIASMchdOUINpfIaRcV1IffaETASZYVO/BvK8guOukOHyh7XplZPTx9KqYXUG5C1NaqpbBywpC/qG1RmhVEVHtHRn2hUZRmwQhTblRFVbMZE2z1uygTDPWcq4khWNNjeepGTFBlCQGA8DdEASW/jZaVCytG8gPPXLDQj9OzT3B3KY3kZHPWRrbNDzNTB0NDKBpoPekNoNKHbYlNDPQNABvVj8bLglY5ig7+a8BNMRgsA8BN9JWxDUVa8PyH1PrDI9XcUdnoyJjU3lDlsgDMmDjoTyGQ9npThl5ol5BuF3LLzLWlE0soiLH8NnVdaK97/4EK75YMaRBG4OBOgPio66suluWI1Axm1fPqiC+jqkLIjbhICFP//gbkjVbLZkmEHfEj1moadnhKTnO41Bx+YvHRKalXkjJeS7/CF8ttyO0uBOPx+3USSDrQoPKOMaqGWRMZwBBf0YrOTN6EHFMc/QzgaEZnduS9kc5M1qstgWSO+WrMpALqtxtpyKV+yEfJiEp0QPfm5mARHj7XdwLuYPL6AttuE8zx8GhS/R40rAJNPUQ3PwZATTOun+ooYOaOqTcTEn5nmqEgr6NZVSe5aILG+qn5OtEYcWbBL5P5IjfzEJ3e/Y8OCtz6mVxQjxJIyCae0cFCUPYnhQcByfPWuHZBsaVG4GoyP4XGo35oTsZVzWWPAbKaE1xo9CLkm5YFEnfrenv18iG1dSuzjEKNuDs1rk2IM4v/KH8XPUP4SA2+JDeO4Q15z//KQKZvD+L21K4azUZ13VVksFtNcyNO8IpCM4tEjBup+vxQbkf/j193//9+qBBx5QX/jCF+TPWltb1ac+9an/57/5p3/6J/WRj3xE3b59W/7sxz/+sfqN3/gN9dprr/1a35cNyOKNtPhafC2+Fl+Lr8XX4mvx9Z+/Fuum+/tabED+h1/f//731QMPPKC+9a1vyZ+1traqj370o+pjH/uYysvLU21tberv/u7v5L+/+eab6oEHHlA//elP7/laiURCTUxM/Frfd/FGWnwtvhZfi6/F1+Jr8bX4+vVei3XT/X0tNiD/g6+f//znat26daquru6eP799+7Z66aWX1Le+9S314osvqqKiIlVQUKDef/99pZRSN2/eVL/5m7/5S19vxYoVqr29/Vd+r/fff1/98z//s/zvRz/6kXrggQeUf2pekl6pWyXH3DwPPTTzJMzrKZGs0PTlt0E8Ms9b8EA8llbB27Mwpx+BtIeeDFJD6CUgGYT0GqIKoyOQEjBsybiaUcvq5kSuQlSjcTmn1r3TJZjJ2g2gdRhXM2JeN65klXkD3oR4nyvEL0rAynfbovmmGc88i9+Zr0DOIxlFRyE3eO4vi2FkdWGEjEwgRde4kgWFp18TWbQpzryeguzqGmQO5gVL3otEN7625ADopFzrOyslZLHza7tgYJ7De2mew/u96vNHlN+FfIlEq7xZyCb8ji1m8uJDWJ8vr54RgpZ5xpY8ivA0pGelex0xKYcnXTFUU3tPM2lhL3TN8aNaWpRyRE8fnoS8IfT0DKRyT80ov611tOch1wmmHZGNUWLFfAvqwKubYfqtfyiryl8dUkubUiL3KzkAk2/9Q0DSVm27V89d8dqgyPaaGudV4/K0Mh9PS+hU/dosiFNz8EhQdpZsw/UY78P7UbIfEkNic4sPOaLTLn91SBK6E12QW0RHXMmHqX59QFVut+E90fIi6strNlmqqX5O+U7ZgussOYBVf8UuyDBiA66gm5lREshpmd71FLDFN1Iqf9gV3bjfxmdPmZX5OJDXwaxH2SJCmZ8VpY/5Q97nkWxzBHFbvhv/N94HmWCiC2bcwiM6aXkrrlFq9n2nILus2obrr3K7J0PLH3YlV6F0HyhElPMwU2bhK29GS6g25sRnQWpYeYstP3P9G8dVvM+VYDfzrCXQAXqzVlRMC7o0MobPiRAC43JOiD1NDfOqutkSDHLshQll3kghXPXOuIo8NwXC0lmgq5u/3K6qtgFvmjeD651ZCZJJckz76q6nlO+JebX3q3sF8Rp7YUKVtTrqez/8ODI7XhnGPZLBe1bUiWujZhOkMgwNZLhlvA/vC31a5gVLwgJjA654Ekr3ekGygSw+e+JL6WFY/tZRVdQJCU95i63q1uXUnq/uk3Ofki0avY3LORV5bkrFBvA506tEY3HJAcjOzBspkeQFchpUon0mpfscObdosK/dmBOSlnFZy9u2Wgin1djiwl5c13XrIaeNjrryDKIM0ng4KxIskhKJws4fcsVX07A6I3AFBryW7fHCYRPduJZig7jmF0I+8oe8HBfjUk6QwJQPG49CnszfNd6H50XjMtAGizscOVfN85BQ0aDtdyGlTLY7Amlh7k3+EAAmVVshs6XfqvazJyAlW5FWwTSub7/tiH/IuJqR95V0w2S797xj4GxkHP7I8DTkfqF5R615p1sFcri3SaEsfWVYle3BNUoUfzDtiFcjPAnUOPG5VdtsCSumD8d32pb8l/LdtgQYF/Z6ND4S9Jj1U/HaIGRXGhfsf3JeNb3VJx5R4rTL9uhnUztqCeNKVp7DNLqX7oVMPNmO8zd50JPshlL487I9jio4tCjBup+vxQbkf/B1+PBhZZrm/695/Cc/+Yn6yEc+op577jml1P+7AVm+fLk6dOjQr/wak5OTv2Rsf+CBB1TkaEroLSX7YWw0LuakASk6rDMbrsG74Dtli260/o3j0FQ/Ai2730Wh8eYPwsp3Gg8Rcvdjg14IV/6wVxCVtYKKQsIFDylqh4s6cdgtWZHGwdAOzTUD7BI9Hl8+oA/E6i0olpre6lMVO23V8+52VfzSCLSirTiwiCykHjgyjocmsX/MbVAK6dXxPhQ+RDOW7HekSA+lcGiZZ/AAzpvBAyJvFr938PYs/ACnNCUn7QhmOO+ZaVXdDJRlZAKJz0yyZe6DedZSwduzgpBkeGDwqRn4PQ45Qv6ITHgGPfOspYpfGlE7vtKGB/MlFCH0BFDfHxnHgc0HGT0AQU0SKWvVFCZtQixvQYFMn49S8DZU7IJJNG8WqN/ImCtkneJDjmp6q08ZF3OCw8ybdYQAFLw9qxqXp5VxLSNeFPpSmFYbP+r5DeR31DkETQ3zaHAuWGppUwo69jQaR/Msio3oKB5meTOuPITNM/DRfHA3JPkx+c9Piien8Aj+ru+0LXkhNKMX9KMIIk43kENh47fRHBnXMsp4NKNufb9UFR3G+0TEY3GHF0oZfGpGVTej8PC70E0n24CTjQ266ns//LgYgaMjuDaa6ueU39ap8zqbp+DOOALhHgKqufzVIfmcmCPAYs130lZdX9+hDn2tBc33nXHBrvI+iozDO1Fw3CPk1W7MqY1f7FDBtCOoZPp8zPNotEguCz87Lb6m+FHc27ETrvivqreg6aCR+VeZ0BkE5rcdCR4s6Hfl/vedwrVEvT1RucZFnEe1G3OCLqZvhMVd8iAKzJrN0HnH74wr4yI06surZ5RxCb4Jv4tGJ3/IFbCC75Qt+SLmGVu+VrzPy8FgmKHfxudTvzYrPqrGN48Bf3wO+NvwNK5TNiokETE7xHw8LbShD+6G4BXSxuFEF34286wl5KKC47iW/Y6NZlX7DYxL8BVUN8PDU7ndlsA9NqsMnq3ZhFTrxuVp0fUHM44gvOm5Y6YOfYEBC1kKNCiXt9iq9JVhhJ8OuJLjEz8GYz7/rXEtIz4xelaOf2MLktlnPCIg/StV23DvFh9yxEwcG/QQq7FBV6hdSiEElMGc5lkve6rosCMFMyEnsRMeIKF2A96zJasykui9rA7ZSPTo+G/NqaqtlvgHYgNomIo7UJTH+1yBFfDcK391CB6LOTQJLHortwMFy9yr+FFXvHc8e4Np/M7REbz/P/uJKUjaFSUIZwxP4VoiVIT3eLLNkUwu+vboUVNKKfNGSpXs1+e5A98R8doMZY2OwgtZ+sowMoJ0CDDzT4yrGRnG0K9UdNiRfBhmz/DczJvFMzHRpc/mOYRMEkIQPwogBv1LwSy+Z9VWC9AaB+8tc3RCc3gWEBJTud1W1/6iSgzozCohxMVv6+Zd1zzGoxkZuhLTHx1xVf7hxQbkfr4WG5D/oVd3d7f65Cc/qX7wgx/8Wn8/FAqpTCajlPqvSbD+sw1IbFATY3TaeWQMD2jjMgxZvpO2ynsGKcuVOzDVqW6G6S0y7iXcLjRyNr55TMUGMM1iQjfDmhi4x3yJZBsKuPCU3ow8M41iVYfple7TgYhdOrn7qMZKHsODgOFoiS5NMtmGKXPJAUfSahmWtGRVRsLAxJA87kqIXLLdEcMjX0QfVjejoG9clsZUaI8jU9e8WRQWJCD5TuOhWdjrCpnDd3Nele3Bw5UTrDd/EFZ+G5uR/CEUGjQz04hNss3GL3Yo80ZKpohEbhJN6ndwmJNoZFzKSbAhm4X8YZ2i/vQMDtpHslKcVuzCz0yCWPIgHkzlLZi6MlW5qBPGPhZzSin1wd0QkKGfGYW5drstBK9AFhubhcFZDBJkMJZ53pLim4Zj5qDw98mb8TJdApYjuRyJbhTU3HgxJZqFNwEDkXE0zoluj9Of6HFlakw60K3vlyITR2+UfCe9zROLHOPRDMITryLU6vyfL1HhSR3mOYPJpPFwVvIZAhaKRW4yYic8VCkNp5EJFGfBp2aU8VhaLaudxSR71Ns4FnU69xjcP7gbEvN1ZAK/CylXzGsgepMZKbxXhMO/HbSapUtTsoViQnrRYUyRw1N6ensM12PshCvpwcE0rqOSAyjEgmkMMcxzQIQal/B5V21FIx3IOdJUktKU6EFx+Yuv6mZACmiI52dOChKzIDjl5AaRRV79mqxMQn2nMG01rmYEi8pJd8FxTM7rH8KQofCITp3W5nDj4aycFaQX8d9NfHO9Mq7CFB2ecmX7YJ6z5P5hUek7ZUt2i9/Wk/hhNAx+1xbsaWhO3x+35tTy6hlpen2ncI+QxqWUEmpZ/M64Ms/jsyk5oEl6+3EPl+3RRlo9wAhPeSnkeTM6R+gRnP9LVmWwcdKNTeDWnJijYwNoHM0LlvLdnMe5Pe2qzq/tEhR4QN8XsUEvNb5kvyMUwaptwLwX9rqyATMueXSz8BSKUz4PKrejECbhybiSvYc6Fn4Wz6bCI7iPSZqq3G7fg+Elsa18N5oybhaZMF502JEtacPqjFpRgkHEyuJxaXiaGueleWEDw5ymRBdIgMEMimTjsbQ0live7lV+1zNfc2MWTDsyxQ9P4nuQkLVkRRq5SeM4xyp32Krk5RE0wjqMMjLuhcnWbgAF0HgY13xsAPdJWSuKe/M88L6kyUXG8H6GUrg3pY7QvwcR7gFLDwMP41yIH/PAII3LMJyr3oJnY6LblUGm76Stlr91VAA0+UN4X5kDFZlwBakcmtfnVY8rA6pg2pGNFHHR/G8l+x3B4/ufnJdhXTCtjfB6c5LowhletVVjfD89KUG4xYccaZDZhJCOxcGVeRYNDoEKBe2LDcj9fC02IP/N189//nPV1dWl/vAP/1B973vf+7X+zT/8wz+o3/qt31KPP/64UsozoT/11FPyd37yk5/8l0zoq189CG63zjRgsnHxIRyU4UlXPfiFnnsm3MtqZ4Hw1KjYgIVDlM2EoHT15JDYw6BGqjJ1unQfih6/jYfi0qUp1dSARFfzgi4YPj2p6tdk1bp3uiQpmwjfYNbjuefNOrIuJmXHbztSDJBKE8w6gt0L5Dz8H0OxmCVRs9k7kPm9PrgbUoVHNHr405MSQsZQwbp1ORXM4L9FJlxZiwdyeMiTi548iIdm3bqcBJ3FXpjwMk8uoLk7/o0tQtsxrmWw7t7nyMOfyMP6tVkppIhjJeFFmktdbEXG0JCU7gWNhgjZok4c0swBCGS9DQ9lPWwSazeguAzNOVI07vrj/WDXazwlMZvMfwg9PSMUH/OspSa+uR7SAAdFWXkLGgs2pWwqK3dgw5NsR3NT+sqw2vXH+1XJfny2vpNo+oyHQWFKHsT0askqTNGin54EjvG1QUihJvHQK+q8F2EZGXNl+su8CMrjhAq3S6du6w1gMIPim1Kums2YGOcPe1kEJAcd+lqLUkop32ncE5S0kTFP2VKBnsJX7LTVmne6VXQE37egX6c763yEwl5XpFCxQVf99MefwIOVGQwaacx7i1kHsUGvQSE+u3ZjTq5fJnMbF5FSX/8QsMq8Z2MDXkJw7ASujfA0qG+rCkYkVLKs1REKUTDjSDBY3TpgMInOLWt1BJ9snvnlBoTZNL6TGmf73JTguTlFZ4EbngZyuWqrJU2c3wWek8Sf8JQrOR3GoxllXsC1mD/sCoqT5J2Cfi+PZfAbm5R5wRIsqWQh7LaFTLQwDK+gHw1O7cac6vzaLmwyejRidJ8jRRDfewZA+h1bHX13q+BfQ0/PoLEcQZPhtyHHDFj4GkoBL0vpkXkG2+D6h7JqzTvdynwcciRiVFk0Jro9slwwraUuT8xLoCRT5k/92TLIM3Wxy4RyNqAl+x05H2ULeMGSXBA2hBxW+Z6YF7JZMOMFehoPZyXrgejf8LPTsk2qX5OVLS9TrRPdrsp7ZhrX69WMlxX04pgMWmIDrvrXHxtKKWxpE91oUstavWuRQbfJg7hek+04GxM9aEooWS3d52UGMTXeuJRTTQ3zqnZjTqRazAEp3YczdEXZJFQFL46pyISXvbMqPqp8J5FlwWcPBwy+J+blGRyZ8GR8hb14flIeyGYwNIdnL/NkEt2e3JLFNwmW1VuwGYjfGVe+09hCLKRgGQ8jqNA8Y3sI2guWDAFCc16IIGWW5gVLmmfeM76b2EoHM5Ar+m/NYUCpNz61G4Cxjg26qqke8tVElx40tNiyCU+8OAbprpZWF/RreZ2WplVt0+fiK8MY4OizpmInzrxAFs8OUvTK9niIYSKFYy9MqOotlmxZOSwtOO5FD0TGXBVblGDd19diA/LffHV2dqqPfvSj6vOf//w9mN2f/exnSiml/vVf/1X19/erL3/5y+q9995Tb7/9tqqurlaf+MQn1L/8y7/I1+no6FCf/OQn1ec+9zn17rvvqqampv8ShrdwP6bsnMRyHR7VibnRURx4RJIGsijmEi+OqUAWhWH16wOYFIx5WQ4sjsNT0DhzksZmgIcDcyB8N+dRMOq1LXF/sROuevu9kGqqn0MydzuKxcblmLwQkZs3g8lY0WFHJo9MV63dgDCgA0H7AAAgAElEQVS3xjeP4YB/Zlr5nphX9Wv1xkcXiaE5Rw7RhRIsNjzJduhqQ3OYfPLBFBvU4U9Xsti87Mcamlz86KgraEpmigQzjqp6fUDFTqCgS/To92vSFWRneYstm4rCXhS1DFEqOYCNS3Uz0tert1iCjjQu56QRLO5wBA1MSVX+EApoYg+ZnFzY63HY82bwZ8xaWbIKuNaaTSi8o6M68fgqtnJMOY8Notj54G4IWN1dKD6Y4ZHo0ZMk/ZlxWm5cRkCecS0j0g3j0YzkOxT2uoLAJGa1fg2mVgHLUYkXx1TRYUfNfmsNkuI55e93BcPrO42ilVuT8BS2RJwGBixHJF+RMb2NSHtr/vJXh/CzPpqR9zXRjc9t6VL4o5iNE5nQiNZTeJCW7UGx6H9yHohajcGMH9PZMdcyyvcEgh6pDy/di4ep8SiaSuI6iw7joR3I4efLm9HviQ7+C82jSGLRZD6elq0lm46qbSiEgxntZ9kNlCwT5TmRb3qrD74Ezf1n8c3ME6JSEz06N0IHHxqXcir66UkJuQvk8DWbGrBZotSJ9wcTo3/xxaT5YNaREMfYIK7nRDe2GTWbgE/lNoUY2tCcni4/OS/DkvCUK8FlRYcdZX1npYTBle+GH6d8ty2a+UBOF3VTXjYK5SE1my0JHg1PAa9KSRq3APGjrkjlWJwFn5pRBXfG5efKm3ElhK7+IRTi3BjXboAclnr+6i2WyLKqXx9QSillPAosanjavScjKNnmqK6v75B73ncSU/bIOK6x5i+3y71BCWD9G8cRSjiDa4eSRSZ4G9cgRzQeSyvfSdzbRMoGcvj35o0UtobzjlpeOa1KDmBLwKYlMu6qPV/dh2tnFJPo/OcnJYOIyGyRCN2exSa7D2cl7ydmpDAjKXh7VqRU5S22uvjdBhUZQ7ikUkoZl3KqZjOGI8w/SvTg35Uc8LJkzHMothkCSVlvQb8rQbLFHXiesMBnXlGiy5XhyMrkBPxTOliQeR8Mhq1uxj1U3WzJWcqvX7kDW5/6h5DqXbcuJ88Cbru4YQ9PeqGIxqMZNGYaXUyZciCH75P3zDSCPTvh3aA6obzFa0CCGUcas8blaVXUid81qH1DkTH9mQ25ghjm/Zg/hLqBQzLfE5Dk1r9xXM59bkeJnTbP2IIB99+aU3Xr9Pb0sbRIXf22rj9yjvjzwtP4Xn4b5/aymlk0SDpkM/bChLr43QZVtz4nuVSU2Zk3UvAUnbfkvApmcB4mXhwT6RrR62zeg8OLDcj9fC02IP/N16/yYTzwwAPq2rVrSimlfvazn6mVK1eqj33sY+ojH/mIMgxDtba2qh/+8If3fJ1///d/V93d3er3fu/31G//9m+rtWvX/tLf+c9ebECKWubF80HmeGwQU3n/k/OYbO3ClqBxWVolDzoSrMSkZAkj0pNV5gNER10xJ8cGcDgVHUaRXLYHRV79Q1l5+DNArWQ/vgalUokur2Ao6tQeDr0a5RSO7HXy8/Nmdfq6XsEG044EMpUcwIQjqP97QT8K5ZVFY+JxobxBKSXFZPCpGUl8Na7ARJds88IW/a6tCu6Mg0f/zLQKWJAdmOdhHuUkSwKiUnozciOFDc+1jGjoJcit1WtiuHHwnUYhyM1PZMKVEMLqLTj4ORFmAUgPS2QchTyZ+5xiM/jv63/9R6p+LWRM+c9Pqsi45ztJdLlSBDFlnsbhzq/tUvE+ZJXEBjGZDE9pLXwvGk5KT0r3LmDAazNozWZLCoGqrRbyOHQzyG0IzanxY/h6wYwjsiOmxnMif+v7pSrZ5qied7dL+GD4WUxLfU/MS/haIAvpCT0b4WenVWjekeKq+BA2X9Z3VqroqDaOTuAhSl8BNdLJNk/LTU7/wsm4Ul4za1zLoCmdx8N6YXrwjq+0qYCFz4TwAPoBKPljURt7YUK8BYEcJscVO+Fxqt2IzI/wJIrN4g58L07t82ZQUCYPOvJZcgJctQ0bGQIbjKsZ2fjJhLvN8baHOviPTH5mUzAgjtKzkv1oiMJTuJ6rtlpecOHQLzcg8aP47IxHEPBWvtsW8zZlZ9XNABUsq5tT1VssKbiio2iYObGnXj42gAEAJYmFvd7nWrYH/65ipy25M8E0zrzEi2MopvS1yYyJyh2Q0kRHXEhPB3F98JosPOJlTTBlnSGViR5XrXi7F7JMHZYaGXPlvWNQH2U0yYN4fyMT+F2UUso8h+HPyuJx9aX3/CL7rNlsAbrx8gikStpbEr8zrhIvjmESrFPh84dxTdE/Qn8cA19F4qL9RtwIU6pZ/uqQhJEGbs2p6Kcn0Xw5tmxh+LX/P/be7Dmu68zy/TfsruqTcyaQmUggMc8EQFIUxcGkOE8gQIIYSIAAMQMECCSQ8xk4z5M4iZIoWabkSZZsVcllV6lKdrltl6trattldzM64saNuC837gtj34e113dAu98ZwUC+VNmWSCDz5N7fsNZv8bOnz6L2ABrr2gPYPiV7cGf4TWxewylHDOPU43PIVTKLpnb958OycRYoyfaiqttnqcf/VqWUQqNGOWdiCIUv090j89hClk7j//Kfo+yIBXLr63nJEGnahtRyyjEpI6JngZ7H2Dj+zJJZNMzJHltkPcle3Et+fc827sAZyW1z60ZkWFCGywag5DT+t2SPLfddMG2LL81nu1lJxjV4G6U52oJhj8+BkTw++qLkmI1FySzeI/5uwTTOBXogeSf6LFeat7YRuWL8XjVvxUCu+rAtCfRURdAvxXyPtnU5AXn4TTxnTduLYqL32XqTdsb1I1JRwSBNbl6rD+MZKj+OO4BDK+M6NnvBtC35SZF5vN/GHeSPxMZwf1GeW/7xaeV7nIZvcWy1AXmZr9UG5BV5sQHxz2VU3V5LJqHlA1htlszisKvudCfpDJwybqHpYHhbbAwHbv1uUzYC1OdypUp6Sd1eS9LS6z+ZVLExXP5c2/JyoVGVG4PwAg6Pij4cfDTS0UAeyNkSqFjx7VmV7MXhH0zjkmWB1bIJ+mGRvOgAJcorPBdNVf/JpCo5vcKUd8WUMCVOzaLfOoMpTq/tpgePuHKGyqP4HTg1YnJwMKOboCMI24vMQzpBOk3DLhPNUhaTP+q2PRcskW9VdWHL4z0LXTlJKdSIh5Zw2TMJXYg+k/i51mzIq5qDlvyMFf3aYKlJNrXfn0Ko3TlcguFFRyZAlPGEF/B5r/98WCml1Mx/245NmKYx0ezI4pu66cg8LuQSHWLFS4myvUAeF2KyxzUmlnxzAYVgwZ0AV3ei8GnZVJCiJvWrzSJT4wSTzzElLIG8myofH3GkMWOjw+LPex7SMD5j9CAlezU57aIpxstAXheomvhC/Xn9HsgH/CYmokop5T0LGSMvcnoSWFhUdWPjwc8uMYhmyriNSb/PsoXGZVwtqprvTcMEa7m+nS9+61etGwsS7nn5n9eols0FSftesx7a9Nr9lmiwWbCQeGXcLMhWMjaO52nTF4MqMqeL+otuEKH3YUYmys1bINUJZjBNZLo2ZTz8HFo2F0RaxeHE/8mEzkBIPuNlJ3EGec9CatS4w5RtVctmkO7qd0OW0rK5IPS9yLwjhSOn5qXTeH9JHvOb7tYjeUzrz4dRaNLwG53UvpBeDX54nFYDXx1QHW0ZteenxySElVKZgCZWrfvRiPKes0Ru98c/fE1oXI1vYvtICh4BC3t+ekw1b8U2JTGIn7V1I5Lfm7bjLFRKycba93YGz9MNhGny/Am+t6TCC/h7+L2hr6byiEsTi59CsVXR7w5seK75TXzXIvOacKfpUPQgRScdGQJ57uXQ0Njw4sVH0Fh5Lpsv0BR9OuitdAbPRFW3awiv7sQZ6D0Lfxi3sbExDaK4XhRaG6fkNQctgWfQE+G5YIkHpONHp1R8FCQy40ZBhZZwLid7ULC2bMJ3puS0Iw1hR2tGtkCeCzBZV313RnkumfIccABS+uGCNCuReXx/6/ZZcm/6TcApag9YLwTo1u3Dxq2qG89U6Yz25Kz4HGkoJ/HMX8DPHRt3BF5Rt9eSAUh1J75/7R1ZbOpWSCeTPZA+c6BEqRtfxg1slmsOWjJwS/ZgWMamm3I5SpBZIxi3AMBg7RCdwvcx2YvPpH63CZmpplHSC1h+3PWFVfRBQeAv4rsbyKMmoVohMucIwIP0tPCiI3Qx42pRNnPcEnEYGVrG+9q8pSjhoZ6Lppwn3B7RI9Kwy5QhS0WfrSJvT602IC/xtdqAvCIvSUIvAPPZtK2o2tuzUpTyQqnb5xojqfMsG8aXk2ZVJh+HlnG5eM9bqm0ttODGrYJoV7lGLf8Y2tfSGZdGwyRzmhCpZy4/rtNh8660I7zgvJCGTSpU85aiWrMhL7hKFrcNO7EtSQyiwOPFX6IRe+FFt3Bs3GGqri+7XpBgNe4wXzCdR+YxUQ68u4Rp2y0Ysrmyj05pWdMnkzIZb96CQ5HJz+XHUZyFlm21/vNhHIg0UU866sDfHVHlx23Z5PhsNBpMUffcy4mWtm6vJaY+mvBCS1qvfS8nuNWSWRSdXIWXTjsyzYx8sIhU+wU3sZlFBieU7R1ZMR96Lum0dgtFkHEbEi16CPwmLvXKI/jMS6dxqD9/FlRrG5fFIEivRODdJdmIBPLuND+cwlq+qgvT2OVfbRKyDKeJnvvwEVUewcYimLXFo0FyW2gJn7H/cVoKFk6i+746KFpgfxG+Ec9lFDmxMUdMozRP02tU0a+/A/stIW7V7rcEm8oJWkWfuylK9tjiHWjaVgQeehRNkHFd0+fuZ0UyUT6A9y8+4tKiSmdQbBrXoSs3rmLTwWRkKWZGNTnsQRYJ2CYaQlJ6qg/bavvf9GMaqaVdTFwPZvXU0YE8ixIvJlUTxR3MoLEmTci4C7oMv6+l0668k1sj4zYwyhv/ekj06sbNgkoes//snKrosyXJnE0yhxwtm7D5ae/ICkRi6hdvymAjtGzL5J4NFhsuz72cqurG8+0v4vn3OZYUlHz/6/dYslWhrK1sGJJRz/2sio25RLzkMTSFwbSt/u//+RfYro47MnQJ5Gx5nylFYmHz978zVEW/LdIrwdxeLcqfGdAwhxM/26cqj+K9VwqoYu9ZfAZrm9OYsM85Mm1eKV+KzGvz+wU02CySm7ZDMue5Av/MN348IBQzbm6M65AfcihRcwiSQxbmgZwt8IfGHcCirtwoR+Zcqhqn7C2bCvIZ1ByCnImIa79uJOjxIg7WuIlGyLhREK9h+XEXPx3QtKZAXg+zbmJTFPlgUfw/Phufa71GZQfTtnqtbA4S0T59fuTwf2sOWqqqC3dddScGRwQ3sEAPvrckAwnjJoYi8REgwKMT+DN9FgZdRAZT0ltzEO9jMOPKVF8PjKvohAYFvLuk2juywESPu7Ijfk8pRYqN48z3PsxIsjw3PGwAOPzhdr1lE4aJra/n5TsXKODZ9xchsUwM6vv+vSVVcwgbeCoJPFdcKqFxDeCXhl3wVfksnM0Nu1z0OkluaxuXVdM23HnNW0AOq99jocFe4e3k51F+3BZZoc+2BHjT9WWXDCFjYxjmxMZwplR8e1Y17jDlTPRcsOQ9LJ125Pds2Qy/S+k05Jnec/i7Sc9reQONqeeiqf7yYmq1AXmJr9UG5BV5yQbkdAbT9hy00pT8eB5kQf74ZFLY7P7HaeV9lBGErnEHWLzYuJaf9LrkjfWVC0IZatoGs3UwbYuHgQavqm78+zt+0qc8F1CUcVVffRiHJi8pXqLhRciIfDbMc5E5TL+qD+uL9awlUw5O1rd8cUKVfrigjLs4oLxnLSkkSRGSYu+US05RSsnUjYZLbk2Mq1hlx0fRnJFC49ebmPiII7pV4zp8BkQB88IP5HDY+guYkq/cznDVXDqD35e5D5zQtndkUcwexMHtuWTKxc+iq+agu/ovP+4SW4xrmOqubVyWNX0wa0uxz5U9caYls/hMK/pxSXJSmBhEYd30gwlpXMpOOuKbWJnpET/liLQuOoECNpzC+0eds+eKa2QPL4JyRrJQ0/aieDiiUyj2veehk+5ohfk48dGcMu7mIRvR0pvmrUW3+NIeJ+85S+Rl8VG9UbidF75/dSc+3+atRWXcyYPUc72ofG9jazXw1QFM7gZs2Ywxx6Nun0u04e9i3MUFTy045XCP/60KjesAnvOKPhQNRP5WHsFn4TdduVMwg0IrOuGo2//SqJ4/C6qag2j6S2bxuVMKxSKTDT6LYPL0jetF2eBwm2nczkM6NgNzaGwMSOuyYXyO/M4kBnURtSGvgllbJGv8Lgp8IudmABH+EJ0AVpOSivgoCso/fRm3sR2Kj+jP5K2cTOTr9kE22bS9KFrymoPusKL19Tx8ZJOubj+YxefKAUTlEVtyWvg9r91vSfNBilNVF5qC9o4ssNg5W+hqvrdR8NXtg4/G/zitag7hPeDEmvKcyLzeSO6zVOmHC6pBN0v1u0GB89mWNBfBDJ6T5DEtg9W+n8YdppC6lFJoDK5DbsSJr+cB/HKeB1n5OUi9Kp3Gz0rTcnQKz2pkDpsu5izQqxPI44yKPZ1XTduxVSF8gWey7+0MBjxdLmXLc9EUX4f3LLZelUdsGUQlhiD1JYmKiN/1nw9j89uHRiJxQuNS9XsbeAdeG0poKC1r2Ywid9/f9kguR/lxW/2//8ujlIL80XseUILGHZDtec/D90N/WfIYmvC2dfBgVXXhTmncYYrsr2lbUQVyOK9oXOfmj2AF+qUojUqcQDMSzLhghmSvLcO2+Ci+Tx2tGRmM1e/Bd6b8uC2Y9rKTLuGO2/BgGkOvYMZtcPkZtmzCpqfyqDuE4vc7kEdzv+GvTqr6Pa4HhPQ1YuTLTmIoUjqD95pZSJRXBfK2AFTKj7v5TrFxAFIIOmj4ZFIyvHw2PgcOUXjXx0dwplb068bpGLwxlE0ne+GdrDyC7VjjDlM8SI07cLdQskr/nd/Ug5U5nDHGzYKAdgik8VywBM0bncBAjJlfftMW+aaRS682IC/xtdqAvCIvNiCxY1mhA/mLKIKM66DScJJM/WvdXku9ljyD0DQdluSzUAjUHMRhUDqDYkIu/LQOxdPZG5wyeO7lVMMuU3Tg9AowAKllU0F0vzx4KOWJzOkJm4WLcF3DEi6Xsy5mlFQrTnyNmwgk81wCa997Hmhhz4OsqjmE/z827hp4V2IJiR3kdmBlZsn4L3aq+Kij/vcfv64SJ/R24F5OdX7ZLQe29yGM/oG8Lev02LgmEx1BQdSwE7plYh2DWfwcDTtNKbh9Fi43v6mLk7t5yT8pO+kI252SlHDKkemlz7HEQE1MMItNFj3lx3Got63NoYjVBkkWiNyKtHdkVUUffhaaF6u6tXH1uzMi16Ph12fhufKbKE5aPxuTUEfvOWAdg2mXvc5QuvIBTQeadIQwU3vAkt+HyMbIHJ4bSqB8tjvB8p61hLpDsILnMuQDJJ5EJ/A+1XxvWgWztiCiKXHghLdhJ4rEij4tbXjTVK2fjanGN01pYpmFwzAuUn04rfbZljxDFd+exVagV/ssrgKYEJ10G4/mLUVpTo3bKJyImOR73rIJwXwMrXz+LCieivgo9MyV35kVTHBiCBc0N2PBDArpoZ/vhZzLdnMzqrpRCJHsRNxt2UkUeP4CgkjZuNXts5T3YQYNpM4AipxxxIMReGcZjeb9rIp8sKjKB3SBtcd6gTzHV/lxhBV6z6EZiE7qQl/LQGPj2oCrp8XU48dHUURRX+89Z0m+Q81BFMNN2zHs8FyENIh0pMi8Nu9fNsWXEBtzp9bcijRtRwFGcMAP/0dYNm/M2PFcAk6b0j+GBT5/FlTGbZjUjZsFZbyVk21kII8CNjLvEouathcFrRsfdX1PSmGr1vVll/Lcy0nuQnsHsj86fnQKfiCNJQ8UcHYH3wPal4Z271lLtsGNO0zxE0QncebN/fIbCJk8D5kVGzgWjPV7LPWT3/ogodX5LJEPFtW6upSATJp+MCEoa26NAnlM2SkhatqO9yw6hWZm+Veb1PralPLcz2JjtuAOh4zbebW2aRn5Sptg1vbZlgAOEoM4e/nPk8BFuhLlmcynCLy7pCLzaBS85ywZslG+FB9BsZ7ssYW0GB/VWPmn8yJrbdkMYhcbJ5Kg+Jxww+U3cU5yCs+t/zd+PCDZTJVHbCG0sXkrG9b5TdpTaFwtqvD7KbWhZFqtq0tJQ0BClfesJvtpqEboSQperosmBm6jzgsEOmZQJXtx/rf9cBSytG1FQW9Xdbu5N8EsBi+JIf1MnHJhKdWHbclgMu7Cg2PcKIi0mt5Peo5KZh2RwHmumCLJI5AjNuYIiZINYf1uUwJv/aYtvrHAu0sSnMoML8lO0X7LNetBygtmbQkgrttrSagu6XGxcfyd/tOZ1QbkJb5WG5BX5MUG5C/PLUkSKAOTOIFnMJL3PAow4yqwp4lBV8aRGNLTOwsXeEU/Cl8G/rBYZ2ow/RH1uyFdYhHKKcjKZF7qPCmvisw5rqE4hel40zZtZtZaX/77TMZmBoL3nCVFCIPBkr040JiGmvhoDumwGhfKF82+3nNuaBcTsktmHZFSGbcKyridh2Z42c3cMN7KKc8DyITIEydq17haFClXe0cW5rjLIFsx1yAx5EogqrpsmbqXTuti6o2C6PTXbIB/gA1A4w5TCgDvw4yKnMFnzaDJQMEW6VVkHg0aJ7bPnwVlKu65BGkGJ0nUxtIr07ATG6CKb89iqncd25w1G/JC5gnksWFhERCdcCTLIryA4sxzCR6P+t2QPngf4Wc2rhXF7LxmfU7Mg7zwfvA/Ikg61lIOSu2YmeE3MRkd/cddqvWzMchSRl0NPCVU9DwRt+o3IWPzF/GzlQ8A2fj8WRAI3Al3ZZ/scYttpjCTdMUGJDaO37nmkCXJ9tS2MxcgkEdjUdGH7yT9JvxuBrOQNvCZ53vpf5yGr8PBn/v7P3wNz8H7KTR0x/G+83tAkEDymC1kqOikI2SrZC/oRGzEZAOlSWaJQbz3Vd0u0avl03EJDWPhEU7hPyePYcvKPJm7/1IPw682fHObtvKVOOFIsGj5gLsxo/wjtIRJ746f9CnjrZxsBINZW74rkTntT9ODFDYC8VOuEZa5RokTjjTW9Dg07AJe2fsog8/onWVVOuMIlrx0Rk9H38ohMFJvQWNjOPeIDKbPrnGHKd/Hxh2ma4w+oZHMDyGvIxCEeOroJH7O5q1FFf3WGZUYwvvV0ZIWuVt7R1Ylj+G5r+hzkaM+W+PGz1nuM3XYbUBb3iiIP4NhpqFlfeY/zIhXg5uYyiMoTtmsMz07OuGIQb95S1GK4PYOyACNGwUMBXReTOIEJLmBnK32/PSYeDnKhlEkVn5nVhm38+KfYwCd5zK2ihxU+SxbmixuCwLaM0AKFrMk6vbh+xY/hd+nZZPesmjkb9O2ohjQGWL6WtmcCi9iI+jXoJXIHKSypBNWdevnU6NwS6fd4UXzFryP9XswwKg5ZInss3VjQcV0SGD5x6dVaMlt9Nc2LovfkpsjAjLKj2NDRJlrdFIPo4Z1ts6g6yuKjTly3/GuYE5X0/bin2F446ccISmGU26uE0mRlD3HxvF95HcuUMC5yUR3n21JSGb81Ap6pd7yJE7gHmraXhQfp+ei+QJOuHkr6HyROfx+lA7X7dX49rt5FT+FQUzJaUc2hZEzruqCREXvWUulfrVZIATRCUckzI1vwmdEClx0Aj9jVTdqhYo+exXD+5Jfqw3IK/JiA1K9fVmoE9Rrc9pb1YUpQssbBQldSva4Ol+mwFJ2kxjEF76q25agpqouN0CLhWh0yi2MeejUfn8Kjc0eS36W8gFcSlwtkzQVnUJDQHM79d8tb0A/yjTcZK8tq2NiAssHsLFhGiupTNWdrsl+zfqcatnsykFI3aJRNJixVcW3Z3GR2pZgg8ljTwzpy+8Mik2/qTMxHqeFxtG4w1SRDxax4r9syp/FRGIGY0U+WBQqinEdE9fSD5FBUnnElgM09nReBbMouBrfROifcTuvyj8+jcs77U68wikUq2Lez+HiZDp1R0saaEi94q88isP3tXJopFtfx4EffG9JdPvUppdO49Ce++U3MM3Vcr3SDxdEvsP3uWk7Gsy2tTnRP1d1a9P9RdOVN51xZLrPQoybNuM6jKahJUcaFZ9tSZ4KJT/0EnATF07hmR/6+V7ZIvkcNODlx6Gj9hfx/NDMTagBM28898Ch9z7KiPSJAWElsyh6GcwYzOoGRGeihJ6kgEXVDXXNITQl1Z36YtXGfOOtnCqddslo/oJL1iqd1un2Op+ABZ3nQVb97Hf/VbJMKM/iJo343mAW72fZsKMiHyyKmbTyqDu1TPai8SLsIPLBInwt/W7zzgBHFvORMyikqBOPjaFA99zLiS472WuLtK/sJEhQ4dSfNyCNOzSi9Ca2PE3biyr+dF5SyGsOYqO0MuGcJCN6HyiJiszjfImPopmqPmy7unPK3ubd/Bw2ZcxM8RdsyVhJ9tpC8is76Uh4q+ciMk4CBVuN/uMuN8dlHD8rPSllw3pYo0EDJAmtbU6rur34fBs+mYRpWMMWgmk0Fu0dWSGRKaXkmY1Oah+PRnnT5E9vBBuOqi7XxB/Iwzfyz//5dVUy66j7/1qn2tsR0seAPKJoWzYVZEjUshkwD+OtHJq7RUfVfn9KrdmQR5F8zkVhlw1rj5duqhNDAEs07IJ8hhvb2Bi8NdwOeB5kZStCeU7Vd2cEcey5Ysrzk+wFtIOb0PLjekt8raie/fHrSimljLdyqvb7U3KWeO5nJTOFzU10AoUsz2lKUWsO4rlp2GmqNRvyqr0jK94gAjp4PkcnHPGj1e82ZVtAQlPDTsiHOYlf25yWzXnpDO4OUt+Y7UPpJocj3DS1bEIAKDfspTP4HIiWru7U0k4tP2xbB5wzcbaUU67E8FZ34kyr322KTLn2AIp9n43nxrgJj00wAwmm5yIGRtEJyLXKhl0pFeWvDTtNURgQC09CZuURWy+xS0gAACAASURBVAIX46ewtWWz5XmQFapYySzOL8+9nCr55oKgp/1F/FnhFP4876MMhis9uA+jk3gGeR8YV4vyO0WnHNkI+mxs4sqGde7HFJ4n4o4r96xKsF7ma7UBeUVebECMG/OYBOjLy3vWkkTayDyaEeoi/QVbDgsWRwxCa/1sTCa94fdTEo5HzGjtAUu8EFXdtvgSGt/E5JHISeNWQSbKpD35H6exZv90XIWW3NA/Uov8Joryin5sOpiSXL8bUxjPRVP+/EDeDRFr2GlK3gKntGSFU96glJLAOaJJqW9mMV8yiymOmPUvmqr19bxw9HlJRCcxvacZPDbmZlVEPliEjnqFr4DMeuMqZDiBAopT4zq2JgyiatkMI3P21xtFY06sbtO2olqzPqe6vuxSVd34z5E5FKnhFNKwafBjIBe3HExrLjuJC5DGP+ae0JirlALl6KqbpxGdwPPUvAXGalLOolMoTihpI16WmlzveUu8QS1vFNTr/jHxGBGxXDaMhib0JCVZMvTi+B6nIZvRWmRuVYj4reqGAbK6ExP42v2W+Bw8F5A07DdhkGY+SezpPBoarRNv3GGqjtYM0LR38iLFKB+w5eItnUGxVfXdGRV7Oi96/bKTOkNDU73EPKonbPQihJZduYHnQVbSjtl4hZYcyc1J9mhj7eM0iGw6hIyhlIlB1+sRepJSG0ITCE/MoGgb+fluMdx7Lrshl6SJtbwBKg4Nob7HaRTnOsDLuFkQbKVQiDTRqOYgPs/qTvf/99mWwCH484/+4y5V1fXnJnRmffhNW7TnlAXSnF+3V287H6fhoXmclnBV0rlaNhdkMxrI2UK2k+3nkOOGk+6DBI3a+qouNwnab6IZCWZs8WEQVxvI4z8bt/Pqj3/4msg9PZdNeHeytqRCM9CNKPHQEp4BpnlXHkV4WuvrwDUbVwGoID6cmz6llGSFDHx1QK2vXhBUN7M5fJaLS21bl8M2bdSlwwWzbk4LG8PGNzFMCWZw/nCzVDrt4mXDKXzWPgsFYWjJEcgChxfVh10QBsNsCRup22cJSU2e9UvYynJoU7cPBWHgnWVp0ClljU45Qv9jmjaHKc1bETLoPetSsDhV5waHoYD0IzbsxBm+Zn0OJDvtk4lOQJZFr5fnApqi9TWL4s9g9kx4wZEEdp7Ptfst1d6BorxxhymELGaaROYd2YTRR8lBy5YvTgh+nrJGyvjYwEUnHZEVx8Zd8EXTdjeENzHoZloQjZwYwudUOoOGnC/CD9o7siBK9buBsu3tuDcIC4jMQzkQmXeJk7X7ARHwXDFBEdThofV78PwQ657ssQWrznR7zwW8B2zaSNZsfR2ZYB/+e0L8gAx65bbZuIN/JjaOzzm84Mh547mXU8b1ojR//sdpISASS051AIcCRIiTABadcFSic1WC9TJfqw3IK/JiAxIagzQoMYgLQBCCeu1atxdp5NFJXDb+Ag7DyiM4IJ4/C0qqbcMu4BK9593JLnnhTMINL0D60d4OqYDnfla0xKUzjoSeNW8pCqmibFgzz3tdkzgN7sG0LUUzsxHqd5tiZKcsjOQL+jmatumiPocVeCCHKWryGFKrPVdcPXpoyZHiKTqB6UrlUfuF9O66vdAelx/XBI8T7gq37CQuC3pCmEdS8e1ZTE0vm6ptXU48E8YNGMqrum0pDoIZvL+cWiZOYFLHdXUwjck4J/SU00Qn3II4kHMDBT33s6ptXU5MifSvlJzGv2NcLwqdzHMvp5q3FiU3pWTWEdKIcRUXV+KEo078bJ+q24eGq26vJdpq6oNDS45ITZg+XnYS8oXQEn6OEz/bJ9Nbhj8Sp1pyGhKI1o0FaYoq+nQw3YieUOncAhZyNYfQkHouQU/cuANFb3RCb0t0Oi/Z+SvDC/nnGleLgmhlkRid1ObXY7ba8FcnVXzU5f0bd2BmpAyP/HqllPIXQNGp6Mfl2/rZmGTDUPc/9PO9kuLM1PTQsqYm6fDIdT8akc2Uv6gL4HeWIXXT2zcGOCY+msME+klKNj2BArY/66sXBIUbnXSZ/BV9+Hw4qa3utKWIprGWpnPK2coHUJj6C7aADWoO4SzwXEEhwaKl4tuzGGhM4HPkZuxPX4EC/kzKZ8qGtVH8gCV6eiZSh5bds4LhgE3bikKUYvBZ+QByK/jstK3LyeS8cQeeqZrvTQs5y7haVC2fjgPA8e6Squi3VUdLWhl3oZX3XMGQpKIfz1fz1qKkzzPIMDGIArF8wH2uWQzGns4jnDSnTes6rM5zxZSfi1PZ+j34XX2OJRujyLwL52jYZcomu21tDoWmzn9gETXy892QZVluwc4zK7SEzyP2dF41/WACP5feUJNYyAaKeRfGLWj6mdHCopdSMzbbZSc1hGIQz2T9HksGXrwnSmbx/ASzbiFe1W2L+buiD/cDM5c4aPKes4TAWHIa7wfvCzYgJH8le/F9qzmkt2GazMU0dqZo88+KzDlqfW1KfECNb5qgFt7Ji48oPuIIWnrNhrx8h7jBrzyKjVlHa0aaDJ+N7RsT4ynZIn0qcgY/E4cOPLva1uZU29qcbBAYdEt/VGQO35Gag3hvGVLZ+KYp8iluVZi3El50v3sk85EYRvx4aBn3OQeU3PwZt5Dl5bPhnWjeWpSzicb88AK2z8xv4WdNX0ftfks2dzUHLSn6PRdNkUwb19GshN9PAcxyxRSgBXHp1Z147ziUInmL5xO3jrUHLLkPiRkW353+/kYnMfyJzLs5VHWbl1YbkJf4Wm1AXpEXGxBPVk8NtcwgNu6ulP2mvtxvFQRjGp3CQcJJVsNOUw6axCAuSk5a/Ca+/N5HGUk99puYbAdytpA4yoYdQWKGnqQwGbqbl8O/eUtRfePHA4KYreizZVpFrbO/aAsZ6fmzoGjDS6ddWUZkHgd145uQ93AKw9yJ9o6s0IJWGmJDy7bkQDApmhhUNmrBNLweyV69gj+Kg5C/B7M4ag9gNW5c1RO6cyhK4qMowOv2wtNBUkjpDN4TGvMY9kdjfjALlGr9blNCCUPL+rI4qg/xKzoHRE/k2KjFR1H8e89jFU3NM6UNyR5MkyuPupux5i1FN+TqmwsS2Ej5mc/C+p4NW1UXGggW0Q070TCxuOB2KX4KBmUGV9IYHJnTAWR6M8XCIjrpSJijcSevkr3aUDuoPTlPUvicHqcxsdV+D5odPfcQPEcZ0fNnQZmmMyAwMYi/j80QfTDMHvA+BI6TxTmzQIzbeZH3hRfxnyNzuOBrDqJB4WXt16Zg4ypoMIGC1nk/yoCA1GvL9I/afcoX2AxQSuQ3UZzRtEmzKBtnZnFwwxLM2JJozmlw+cenpZgrmcXvztwSSi4SQ454mrg9jI1hWstJLilFnDAme928BnqA+IxRt722Of1n51R0CgWica0oKej2b9YJZcv3OK2qvjuj4iPYIhJJymcrOgHjcHUniil6uOjjipyBRIuT6vD7KTH4M3CNafPec5bk1DRvARq3eSuyWL7zHzG1rgEeKe85DCOI6U0MaYKX3paxeKzdD2TrL3//F/gsLgJE0bK5IGGH0QlHtk3hFH4epoXHR3W4pfYk8XmJTmnv23dmpbknOruiHw1RzSGcxy2bIKUJv58S8zfzLGr3WwIo8T5EJgylO4G8rTp+dEoZb+UkB4pmdhrzwyk8Z9FJbFpLTqMIrPzOrKo5ZEneTXzkxcBN42ZBRb91RrJOmOrNc7SiH59raEmnamsvEIvZyLwjQZk1B90NCL+jwawtgy5+DhV9bvo4cenRCcjgjKtFl8Koz3Ya2okXJ4Wtqlv7MrQ8OTrliFQvPuJuXCTHSpvNPRdN2cKVTruUrLZ1OTHXN28tCuCD7yuHVqRyNexEc9S8BRkXpdP4rtbts2R4RG9ieFEb1XUwJ18tbwCr296elbBhz0UXt+t9mFG+tzPKb+KMoQ+nYZcplMfQEr4jlHAmj+l/djNk0vRl8ZmjN4ubWfpDev7hkGraXhTPx4f/nsAG+7Abckpfz9qmZUhiNT6XTYvxVk68ZMwDiczhzC87qWW8D7Iq9avN0vDQM8o7gjlBvtTqBuRlvlYbkFfktRLDy5wCyhpoMA0t4wu+ZgNMgC1vYE3qNzGBCmbcQMD6PZZsPqq63CTkkm8uQJP9KIPAr/2WSDliY47QmMIL0GE2bynKdNa4jUlyskeToTIo6msO6eJGG52rutxk85Gf78Zl/iCrgu8BpVd92JYCI3nMlnRXTuhKp91NAbc71Z3ugVxz0BJZFKeGnMzWfzIpZkaaqmv3a930t2clHyGY1knsWqLEjc7Iz3erZC8mjK0bC5jCDzoSQFUyqwua23nJyuC2iIe539TJ2jrHwLhaxNbgmCtHCS/iIjJuFqTZiI+4hsuyk44w8Snhqjxiu9PEY7gEiaaMTuDS4urer4lDZcOgSdG7Echp3fMuUxjwwfeW5LLnRJoyAc8VU0z89buRxeE9r0lW/baKPZ1X62sWRQ7G4ooyrfgpyDICOVyw3kcZKebX/WhE/EF+E4W591FGJT6aUw07EaxHIlHpNCbFlUds1fLpuGjsaw66HiXjtta7P8xIHkv9bvz8kmdzsyD+E6WUNCnEVtJ3Uf/JJDwcetrtN920ZyY6R+a0D8REId20DZO6mkOWyv56o6Sp09tDn0hsHJNnhuHVHHQxwSvzfihNWYnjjZxx1LqGJfGgBNO2oIxj446QpYJZvPfra1OymYvMo6nw3MuJP4QNTXjRpVHV7cVmpW6v9WfnVOURyAYDBVvOF5rkOegoP47nru2HozAHf7CI7/llyKxiYxhotG4sKPs36yDh3FqU4oVnQmLIES9aoGCrxEdzguuu3W8JgYr5FNxaNHwyqWJP52UbsjInpWzYUb/+/X9Bkzeng0wH3Uyk+KiLhqbvKzqBJtp7zpUEJnv0z/MwI+ZlDkmMt3Kgp02hufFZKM7YsHGCXnNQU/f0cyeEuxE3MLG605YmJfx+StXvwXePksLAu0uCQi6d0Z4/vc30XDFVzz8ckvcp2YMhSMumAuQ8d/KyWa3qsuU7wvO/bNiRTJzEkMZa9+pmQA8eyoYdkTJ57mfhddOBcsSnG9eLkrlRc8hS536zFuf4IZw5LCzrd5sS+scE7MC7S/JeJgbx7MdPOWpdXUqITYECgvzWbECYHtPb46PaD8XE9dOOZJswjyIxqL0/OnuKGSHJY65k0biG4VRHWwayymO2GLe9jzLIB9IZUbUHtF9hXkNG9CCQ8mOfpcMP91uC0I1OOmpt07KYyLmF5Is0q2Bawwm09zM64aJ+I2dA/mJWDOmLHPq1t2dl2MOtq8+xZKDp035Ihgk27DIlKJUNJqVsHFR6LrtSajZF1YddWXjdXku9HhiX4V7lUdzVHDgYV4tytvkepwX1T0lwaMkdaDKrq3RaKy3eW0K9s2+1AXmZr9UG5BV5yQbk1rxcwtR9U/fMwC6SgChVadhlykHjN3EQUhcdKGCSxKl+5RFXu163D2ZY6nVpqoxO4kArG3ZXsZ57OVV51BZTKBF91LiWD2gT62l3/U0JQdmwLgx0IR0fQWFR1W276bOkemRczbxxDRKqtU3LqvKI24BwOsUJoueyqTz3cqBrXC1K0Up6kc+25AIkXYoUn6ouWwyxZSdxYck6+t0lNFY6bLF+jyXEL6IuubVhM8XEbL4HyR6dw7HHJTMZ14qCvaSWv3TaTQC//691IrXxnrOQ99Gn8wL2WrLxCC3h80mcwHMSWsZ7rBT01Uy8JtGpot9+IQeleWtRRT5YFKQnM1U4EaTRkM8Ok45Dy3gvK4/YUoREp/B5hFNuanGg4G6qSqcdMdqWzDqSXxBaxmXKcCz+DPERyLs4WQ0U8Bx0ftkt6Etijau6NL0sZ0vzVDbsiCcotIRGlN+h6sP4fJXC5U7vkvdhBim+KVxynivwDFT0owE2riNgcNdPe1Xkg0VJemaDv/7zYWnqOBmt6tI4ZK2hZuNSfdgWyguD8Dq/7Fa//cPXlHGtKCx84l0DeUx5A3mXJpUYxPeWjUB1p4vepF+MpDdJhdbPf8lpLck8ivOF31PKMsMp/Mx/+qK+PT6C54pynGBaJzXr70Aw60ooKvow0Tdu57HNuWTKBNpz2ZT8gvD7KSm8S2Zd4/CBvzuiYk/nVXjRbaCNa5DcBLP4e0NLjnz+PgvvZ+vGgnjCiCcvOwm5GZ9x7zlLrW1OA8+sp8U8B8KL+Bk8DwDOSPbgfIqNO9KsxE9p78Q9TMaVUiKJo5GekpaqbhSolJ4F09jCGDcL8v0vHwB0gwMabjziI4408TRfl844YviPjTviGzPu5NWZX25FM30aBTgRqiSYEfoQTLvBpJyu+x+nVfMWfIc9V/D3UDLXtL2I5lcH0u74SZ/IlXyP0ypyBiSqu/9SLyG5hB9w2MUNSHtHFtIwbUqu2wdvhudeTu4qbvqquvGZc1tUvwfb67a1GE50tKShENAhraUzbqI9vYg1h9Dw+XXiOzG2jW/CyM6GNJDXG9AhwBuYZcF8msgZyJpIzvMXsBVlAxJO4ewnEKVuryWQhvAifq6qLlsIemXDOJ/afjiKxuJbZ1RszJVg0dNY1Y17nVLaxJBLDqvfjSFARb8emuzDZr9hpynb1Io+/K6bvhhU0UlHPfvj11XDLlMGZcEMvm/NW4uCyuV5SmS4ZIvpgEYOCykDo4QsNob36fmzoHqtbA7n/0MQ6iLzaKb5fYyc0cS5ERdR7HmAbU91J84TygibtxRFmt60raiSe1cbkJf5Wm1AXpGXJKHbyzIFKp1BwVl92JbpV1W3rTZ9Maj8RY2j63ERtFzjkshEQ61xDVKhmoM4uJnLQU9D5REcoIlBFN3JXkw5fW9nBA2b7HXxpU3bikLjiMxpg64uLKNTjoQO8iLhlNG4XhSzHdNneWmSMkTUHwPkyo/joGbCt1JKqCtMOfeeRWMQegI+/ZlfbhWpi/2bdbJ2T5xwDbzeh9D9l510pEAi37+9PSt4yefPgjDEr89BpnC9KE1HMIvLjNjI+CjoQZ4LlmBJG3eYYliWhGNtxi2ZxYG6EglKghMnPzXfmxaKD024xvWiWtucVrt+2iufZc0hXDikYHFCxIk8ZQjMgqHOObSkL9c3URR6LpuqvT2rag/oy1pregkt4KZnzYY8zIvadEgZVcsbKKY4WST5JPZ0HqZH7cEoG8ZmxLhZkGAw4qNJivFcRsCcz4E5lu9PVTfM5I1vwjC78a+H1I6f9Kmm7UXV8kZBzPeJj+bQsGhSGw3GzVuL8jyVDUP2Qr184gSIbsG0LTKdYAbSsTXrc2KGbN6KoEjPg6zk0TApnn6oqi4UE2xCSMVpW4cC03MBn5nnApqSyu/Mglqj/3tKXpj6Hp1yBBhRv9tE8WAjLNR7HluTyLzm+++3ZOq6Zn1ODPIEEPgLeN5YQHKDaVwriqyJkqKVLz4DxjXIYMjkrz1giWaenq6mbUUpONZXowFiVknZSUjEfA6ezdr92KLGxvXzqrdeZcMoJkun0di1/XBUwvaIbw3k0HRQOuK5aErRF8hjM2FcRyHo10Qj7yNsLphf0Po6ZHhN2+Evotn3+bOgm1ejTbwtmwqq9bMxTPop33lvSWR9tfst+DWGcBZW9NsibWRQH2lNxt28yLtiY64Ms3QGUrTSGTRMFd+elYGJ/zG2WNx0kObUshlUrJrvTctGjLkhDBJlGGBkHs+6caOgjFsFwV0bd/OyiWN+TvyUIzjekllHjPDJYxpWokNguemIfusM5EUa+RzI20Kw8pu2a0LXoZArvUo+28XLMhCSsIGGnaYMKIw7eVX64YIqmXXDUYNZnMlsWOjRKZ1Bw+AvaGLZZVP94+//UnCuhLNUddsCd6EhOzbmooqZ97JmAwJSZfOnpWDRKTcPJj7qCK2MTWfTNjRQ3nPYatccssTsT6qXz7EE3MFXw05T7ioOICjZ9TluKCMLc+N2XnnPW0Lw4lCAgYul0/jZkr22GvjqgIqNOyIJq9uHxq6qy6VghVNooPkcU1GwcpBJVDGR58Es/BwEkNCLtCE2i23RkkYTD7kyNL+JYUpiyB2SeB9mZBOY7ME9EV5wa5pVE/rLfa02IK/Iiw1I1a40un4dvtXzD4eUcTsvGmnmaTALpG6v+4VlKjYNuw27Vlw6A3qqc2JFFsUHiyDR7AaqMtmLqeGa9Tlh6PssYCF5QVUftoX7T/Nw4gQuu+fPgvCSHICZ0XM/K4m+NGHTIOizcYDHxlAAUtYVyOt0YN18Rc7g8CsbdoshYocTJ3Sq9grcJ1fEpTOOXOLEIgYztkwTKa0wbsBUGHh3SdV8bxoXYdEWilTTtqJcft6zlqRJUzZBZCw3Vca1opCxgu8tSZAeaSPlx1Eg0NDMyTovMKYiN22DXpdSCgZC0gAfTKOorzyiZVZ6wuW5hA2I57Jeh+sLgZPGQN4WfXh0Cj97+P0UcmLexEW27297EGZ1DEUXw+84ieOzwFTfqu/OgO6jscXJXk1y0SZVhoFFJ3HJNG+FefH5s6Da/jf9aBb0M5z4aA4Bh/tBZeJnElrSniEb2N76TyYl64Dp6xX9aBhKZ1AI1+2FRyPZi+aPhuvSGUeeJz5r0SnIlZj4W3lUT741crfyqPYZXStKgjuBD03bYEKu3w2/BRHYLBJ4mVIDHRvT6F3d5DIoj3ro8KL7LHNb47mfFQkTIQ7VnaCD1e6HhJGIXRZBpdNodth40QBKuVTLGwVBcbMANm4gc8BzyRSj/soXtf/BtC2sftKriP32XIAHiyGANMf7C7YEaFZ36oLq3SXJsKHcjHkfJP5F5h3JXqjfbUpoJr9bxvWi6PNJ1qvqQkKzX2/hmIVk3NSha1piGF5wU8ifPwtKlhAzbQgQCC3r5mfUTedmjg7lMcxu4DaVvzPlYhV9OK+DGfzf0hlHCIF8/9lMUYrpf6yL64wtG5nWjZCDNW1Hwc8CODKP9+iPf/gagl5TKI7p82re4uZp1B6wBFFO+VXlEY3o1o1kR1tGZD4+C8MIwgxoLKacsXwAm2RK3VreKLhBsLqxJMlJggs1etW4k1eeC5bkr9QcBF6a9xQ3MJVHbZEh8QwipdC4WpQtUTBtC5ae9LXIB4syaGNYH7dZZScxVBFviJbH8dw1bhZU+cenZUuW7LVfuFOY68FNcfMWnHu1+y3B0VJSVH0YDXDtfvy+DIYlDTJ+Cg104oR735EKRfkdt/rVnbb6xo8HZDvFQFfBIevtT0cbUMrxEUfeb/pLqbQIpm3ZglPNwGeKxu+6vdj4RKegiKBfjJlkxvWibA8ZjFxzCA2l92FGGmICaSqPaPmovuP4fAbeWZZhU3RC+9scS3DepR8uiLojNL6aA/IyX6sNyCvyYgNSs21ZlX98WtanjTswKS2ZddT/8z//Uug8NJ8ne11EIkPNqAM23spB3nHYveBI+6EsgMboun24GFtfB2KTAWxEMjbsMiUpPdmDg8P/OC3Jt7X7YZgNLzhC66FEgInmbGio6SS1yHM/K02D95wlBUt4AdM/78OMFNZKKUlwrz1gqfjTeTEh0xvBcLzwIt4jrpH9WvJDnTplNsYd0HN4SbCYWrM+J+bPyqP459c2LUPr3GdLoZsYRGFuXMV2hNNXn4VJkHG9qNZ/PoyUXi118J615L0iRSg66QimteQ0fhbPBbwfxCXzkK/utCVEKzr1oolcKaztjVsF4aavbVxWPktLna6CikKpTfVhW2QGHT86BQmglqG1bC5gC1NA49DyRkFwnNWH8SxVdduCfw7kURAxOZ1BUp6LphCInj8LAnuqzacVfTDVj/x8N0LOPpkUilVsHMU3w/x8lt50XTHFExX5YFEoKURUex5koevW36Pnz4KScxNedATDu7KppKk4mEYh4XmQleA8yfS4bIpMkcx9hjrGxrWv5zqkHZxYU/9colHXxl1w+jkhJtK5aVtRnhcmpNfttWTqRzJV3V4YYPk99TzISnFINCrJOcYdSEsCmjBH2VHiI2TIlJzG5mXjXw+JPrvyiC0F2p++uAXwXDJV6EkKBdTbGdW8FfI0fsa1+yGl8DkwgPuLGnu9IS+m4k1fDAIvm3Eb5bp97pSd2UfMLginUJxQqx7Iay283mQEs7agtFs2F0R6WrfXErM5G8DyAVs1/WBCPGDcJAQzbtI1U7WNGwXxDpSdhP+AIXls9JhnpJQSnGj8FD630JOUTNu/8eMBgYr43s7IVoGQEeNWQaSekTNa6mTZ4mMoO4nNYUUfGiaeafERLe3pxvcpmLXlvGl9PY8z+234FbyPMvK7Raewaev76qAqOY0it+2Ho9jQXYL86sTP9qE5fDov0+2qbjSafhONh+deTjXuMCUMlFshGr2zv96oyo/jM2cDwsTuin74yyr6tPdjHPcNfUwVfe72KNnzoocgPor3jlLPljcK0gBWdUFyRNoZ32tCJehtYChn2Uk0SXX7IOPyPsrINoNbWW4rvGctIVCuNLwTxFFzCIU15aTRCde4z6RxPos8q4mNDy3hf+drzfochkMTWvqkhxSElNAwHszakn0TG4fvgwO8+Kgj1MZgFuc1B5KkW4aWYZwPPUkBkvF+SiAazPPg588hBVHf3rOW2vPTY7I9Ii6+5hC8qJ6LptzRJbOO5FOR/tW2NifBqNFJDTO5VZDBQeVRW7Jgyo/bQiur3bq82oC8xNdqA/KKvFZSsDhNMK7De+C5n1VNP5hQZSddZr9xrYgp3LtLQrsi1aK6U69JBzTxZMyRyQUNaJQM0bhKrj4vLc8lmIBlWqfxo8G0LrQumqJhr91viQmUxtuSWaTtNm0vqtfK5tAgXSvK5djRmhFtdnQSl6Bxvajs36yTYLS6fZj2eh9mlOeCu5KmFrtkFpOY0DIOJOJzmcRKPGXpNAqhYNYWgyG3J8ZVpAMb14uqow3mZZ+DQ7OjFaZDz2VTCCVlw+6qO/DOsgq+tyRUnUDBFgoNDX6xafTq3AAAIABJREFUcRzOIuO4bEqA3qYvBlV0wpGUcU6Hkr3YJpDtHnqSkmkijdfcYHDCHnh3CdO1Gwhs/N9//LrqaMsI9z+YtYV+RtJSQE+kw4s6Ofi7M4LDfP4siEtCN5z0Y9TvxhSZjQdNgU3bi0Ln8hfxHlcfxmdXvxsT2OQxPJ+lMyiKag5a4sHwXIbMoL09i8AprSvn1Ju4Z2JNKb/5xo8HJCSRBeiWL06omoOYMHofZlRkDpew5yJkZuEULnylNGP/rRwwn+csQaQyQDEyjwIo9CSF5mwIBSVNmkw4Di84MhXnVoPbPE7AX6uYF5oPNyIkxxBTSc8EjeLML6g9YEkw25oNedX62ZjIK4wbmDZT4920DQV/daebodH4pik5H81bizLlNK7jO3njvzcjs2TI3ejxWVr56vvqoEg3m7eggKIWnt/9xCDOh2SPLUbf2v1o1I1bBfEVGdeK4hnjJjP+dF4+D250Ko+6eHEapyv6bDG9s8AsnXYN6aSlMdOBhDOaXBleGcy6n0d4wTW7MxSzbBgFkueCpTZ9MYhz7HZeiseWTQWEq2q6n1LwFflsSwy//gJyVSh75WaH3+fmLUXBwn7jxwPik6O3hpuxQB5FYs33prFR7XOD2kpO4zsVTjni36AMqXGHqYLvLSHwjuf/kHsveC6aLyCH6a+q6rLl3OBkOzHoJnhXHkWT6HmQVdWH8X7STF99GBjqun3wRJSdhLSxoh+eHqWUavvhqGxWjRsFgadwK0XCVdlJSMNIePM+yiAj6XFafqaaQ5aQDWsOYlNAL1rDTni5OlpBDis5rRsVTfQLv59SFX2QKkbmXIRyeBE/B834yWO23HXhRdw99Kawqa05hH8+MYj/PbzgSAMRH8FnUt1piyeE8qX2jqw0vtzA8UWEeMun45IrJH4o3bRxuEGfRuKjOeV5kJUMD36WHDSVD9iC6609ADUC5VChJeeFfJiGndisVB+2JT+q8uiLGVGtn43Js0NvWe0B3Lm1BwBvaHlDNw16+0a6VuVR9/vAhq2qy5Zmj5tEYosDeVtCXT2351YbkJf4Wm1AXpEXG5DwaFY0qZVHbNHxc9KRGMRkIzGEKUHJNxcE+UdkL70RpTOOhNyRSmHczcuq3OdAlkLaVHTCDbeitKVxhylmdK6IQ8s40HiwVR5x5RWcSDbsxBrZX3RNuKElFCDGVejMJbX4jJbXWAgwLBt2xKDH1HfmWyilcNkdtWWqRb322ua0ij+dV96zKLqqOzGpJV4xOgFZELGyJae1cVpvSqghN27ADE69t+/tDHIEHmVk2u17nJaEbPLQPZeh663qtiUdNjKPy5EbHvLavWe1/v9+FunIGVu49cSW1u7HFM17Fpde/R4XqVkyq9/jQb0mv2LKFEwpJcGM8VO4OCv68V5Sv9u0vSi0IuMajKWxMRTf4ZROt9U4zbp9ltDEaCSnIXXNejRcrZ+NoWF6kBX9+frPh/F+6AC02u9PqcrvzCrPZUy0mDNTedRW9m/WocjQTU1HK6aP4QU3LyLx0ZwUJyWz+BnXbMhLEF9oCb9L8pjtaoe1nj5xApsXEsp4wXOayWkvG0sa0+On3Mk5YQVk39N/xXRgfkdbNq+42DUGl1kqVV1oskpO4+9hYUPkZ3TCkTCw6k5bAgNJ8OEUPDamMch6G2BcLYq3iU103V54KSiNIxSCGTmVR3QDczsvmzQCFjwXTdkSrXx5rpgyxfXcz4osLtmDZotYWkqOKAUhSSx5DH92dSfet9IZvSl8bwkkHx1s6dP+h7q9KOQ9V0wxuTNroXVjQdXvxlSXAIeag/j+kaRTeRQFu3GzgM9Rnz3M1mnZXIDmvVuHuz2dl8KpfMCW7W+yF5Pg8V/sxHvqWCr1q82qdr+l1qzPCURDKQValJZpRSfwufG9oIae8qDQEpqvZC8aPm6yfG9n1If/npBBFDfQsTHHldPst+R8Y2hjsgdnE0lFz58F0QQsYJNBjGn9HksNfHVAYCHPnwWl4aUxmlsOkuPoZymdcdR7/1YpwxJSwYw78BHGxhw3IDKLn8F4KwfD9goPCPGviUE86+EFfO4tmwo4mx9kxeNR1QX/Rum0bjrPWnLnEUNNrwEJkJT58vtP2hc34skeW/wdvC9IueJdx8yi2v34s5q3YgNNmiTPzPaOrGrcYUoYZuk0tuW1+5HDxM3ngb87gg3iZVOAHt7z+E5vCE0AyKH9YXxxO1a3Fz8nJbeUKzJfY836nGw7jOtFGQzFR3Em8WzloKR2vyX0woo+3N8b/uokjOtaAl63z3JDXLv13b4L70fb2pybn6OHGQynlc38lJtPFR/B97tpO8JkVxrY+fkECjjvKo9iKxadcGQLY9zJA9xwoyCelbaa2dUG5CW+VhuQV+TFBiRyEmmnVd0oSAe+OgCyzjFbJln+ok5B1pr3ktMoQGmkLDkNzjuxmmsbl2VaaLyVE38I1+Wvlc+Jl6S6ExOdxEdzUliTl9+w05SCmCFDLW9gor3pi0EEFw05wijnP0cDs+civCakftD4Sk26v2gLK738uC3pt/V7LBV4d0neK+Yq+CxbaBoNO/H7EL/bthbys+fPgijOHqdhuB7Ez1p7AM1D7fenxBwYWnJE08zGIXIGxTAZ8iv1vrt+2iuheIGC3gzdy0GCoDGwsTEgA0untcFfa2yjk5jIEhFr3CpIrkT5gCuXoY+B6Fau+xnyV3bSDYus3Q/pgFJK/DjlH5/G1O+bCyInonwonMLUtGEXvB9+05ZponG9KBSr8AK8BMlerMjp/WGwJQ291K3XHMJUTwLNem31z//5dWmCWzYXJPU3PooCo2TWUbf/pRFbqbdyavvf9Kvnz4KqeUtRCrjw+ykUKhp+UHnEJbZ5Lprqxn9vVvW7TdXy6bg0I6EnKZH8xMbxM0Yn0XAqBb1+7QHICau6bcnWMO7mJTSNDXd0CpPY+IieIOqJIwMnuUUkGpWTYZ9lS6BXaBlNAklRxo2CCmYwFaw9gITpxBC+D11fdqnQsq02xGZV7fengNbUFK/woiNeqGQvPqfSGcjR1jZCxhnI2RLQyWIi/H5K6DmtGwuyvQi8uySQgsg8Pu/Xkmf+7JzqaMu420edGUApHBsF405evu/JXjTjFf2YkpIi59feikAOm4zqwzh3aJyNn0KxMvWLN1XjDlOkLf6Ci5Bu2l4Ugy43gTSxBtO2mvlv20W+EZnH95begfrdGJB0tGbEt+YvajmgRpFXH8YAg+SkyqO2mN9pug+/n5JgVMof/UUMUhhC6i/YAtmo36MliRcglSOcgXABes0adsHr4rmfVZ4HWdnM1R6wVNs6NJWhZVvyUcILjlpfuSASUuMOtsB+E88pARXB95bEkM8NHwcfPIuZcE95U8ePTqm2tTnV8MmkWvejEcigemwJcww9SanAO8uQHX58GplAOjNibdOyUAj5mbMBoXSIcrWGXaYKvLOswou6+blsqvYOBOSyWfc5llpfi+a/aRvyqOhZiY0hIT1xAvSqZA+m5qElR8hiPJtJu+PGqKrbFgITZZyBgpvRwqDIur0IzPPZlngYSHOq7kTKeMmsqzTg3Z3s0Z6Ig5ZQGJm3wsFX4N0lyEF7cQ/yVTqDoNPER3PyHhp3kVHVtL0oEijxW5y3JFMnPurItqCjNaMC7yyL/6yjFdlZ5cfxXgSztkgbuWUnhCDwzrJQuCjjYzObGNLERcrA5rBh8hf0IE7jsPl3RSfRYAezeP6JfC4fwF0RKOAs8J7HYK5pu85kyunwQ/0ZRT5YVJV70qsNyEt8rTYgr8hrpQQrmNYTvAk3vTh5TE+MPz6tmrfCVFl+XBvGdGI0NaHMuGj9bEwwiFz/Uw5BGQH555z81+3FxKaqyzUoJk44EjpIY27yGP4sf8EWzGnLZkwhvedRgPJQYgIyDYKhJRQIKw93FgTNWzHtYwhWRT8Ow+iEeyBX9ON35sSQmuDwAt6DxCAuFYYmUvMfmXeLFPLWuflJDGrTqGlLsCKD9qq68L7Sp1F5xBbsLS/8QAH/btsPRxH8dhmhhrEx/BmNO0zxwSSP2XJZUH9bMguUJDMJiDUsmcXfHz+Fz7GiD4dz03Y0BsYNTIFrDsEX4H2UUUopQS9WdWMdHx9xxAPhL9iiQ+bPFxtHE9vekVXh91Mq8sGifM6xMfgEeHmUzjhCB1qZTu65gAvRuFVQZcOONJtrNsBkSs1xYtARvC0niA2fTMqENTGI4tj/OA0qk77MmUlAKkrlUfiHAjlbfpZg1g3tDC+4FCTKgmig9J5HA0Lmvt+0lflPr6lAAZ/hurqUalubE1mAcb0oPpT1lQsSHEfqEv/O+CgK8/gpPfm7WZDASJLNxJNRsIUKVdWNJpFyNDagvsdptbY5je+E/j4yj4cghZqDlujWnz8LgorUh2aq8U1TTMKey6bQwHy2pT7/bVA8Ucle20VeatTn/4mCFXhnWRk3C5I9VDoDxK/fxPlUux+TaX8Bnz2hCbFxTZzSMr7403kp3GNj+C6yWYnMOZKt4H2YEWpU/Om88p6HFM24k1fRSfcMZC5C/BR+N4IWSj9ckPc4MYhzoPow3hu/aasvfutX4QUMPUpO4/3jti8+gn/fuFEQDT7lO6SzkUDHwl0pJUbvlRNdftdomi8bxia7Yacb2kedfc1BDGc2RGdU3V5Lra9eAMijGyhq2XrdyUsDQpog3wvvo4ychTS89/zDIWlmavdbkM1omSUHBsGMzkPRyfXec5ac00RvB3J4XiuPaqCFlnPxWao5hCbQc8H1z1V14fmOja1IQr8EgAGT6LnxojzHuF5UgXeWQdPT0/foFM5S71lLtnzBLDYQaxuXlfEWaIW+tzMqMYTmyriOu6D19bzIp3jvkAZG7wmlsJQiBtM4i0NPUkKACy3jMyXOuGEXhn88+4zbedW2Lieb69oD2EDW7bUkxJFNfDBji5zOe94SI3jl0RW5V4ewYazowzNeNuz++5TY1e2z5B4hiIJ3MIdq0Sk8c/7HaVXx7VmRg/JnqujHM+i5Aj9kdSeecRKoAjlbvE8cVgTyru+FJnPPJVP5H6fF7+V5kBVZOKXEgZwLqag+jOco8O6SbH8Y4Om5gKEOkdbG9aKglv2mrf5rcdUD8jJfqw3IK/JiA+JNIbzIuImDs/KoLdPemkOWrLhLTqMZ8Vw2pWDjJoQH2P/3v3yqcYcp1KGOtowcKqXTOIQp5yCzP3nMFkOcULa05pRIV+aS1O9xp0HGNazDvQ8z0OVfsGTK4z2HNX5i0JEVMIvyxKAj0iJuacLvp1R8xDW+c4LKV+KjORQlukkJZm0p0slHJzGDDVb1YUy1k8dsMQkG9AaidBpFfzjlCL6w5iAmezt+0qeCaVsm3r63M3JpJ4YcSViOP51Xxh3kHFQe0ZeJRm+Glm3VthY+DJ8N4zwzW8qGHbm4WjYVJAOCRV10yiWc1BxEJogYmDXhzPsIQXI09CmlVP6fNsg2qqrLFlQxaVrEIhJ7SnlHaNkW0hVRzyR7jf9ip+jDqfev7tSFrTYCB/KY/hIiEMhrbvwILi0CEUpn8PfGxqGjp1cnMg9tN2ko9XssQUgbb+WANO7G+xkfdeRCI1mGsrTKI7aQZvwFPKvUm4cXHXmeAgVbTKvc2ETO4Geq6MfEj01EOOXIxDWQd5n/0UlNgxvCJeo38bww+JNG3MA7y9LQCdFLE29Y/CaGHPX3vzOU+U+vYWrZlkHGRN6W/0vpVMlpRyQQwawtE/xkL74L1IMzCT7Zi9/Vb9qSchxOOUJpI3UumHUzTP70lexBsUdj8IG/OyL+h/o9lmi2gxn8DNwqcdMUP+VmQngfZpT3vIt3DuQ02EFvjkj9YSBc7X5L1XxvGqhmHVTHwEvveUybQ09S+N6/n3rR7H3IEi+Dcb34Ai2NuTiNb2LowOFL31cHZevEQsl7zhIcKJtINsUNO/HdKz8OuaFxG9uyjX89pHyP08CZfn8Kz4yeekcnMJ33XDFFJrr+82H4OxxXOtfyRgHnq/77I3Na2tVvC35Z8hfmXIJX+XE0oeUfn8bUuy0jWyiSlOgJbG/PCuY7MYRGMZBDk+89ZwndTIZd2rdFelrlUbwf9MT4TXyXkr22bHUbdwBeoJQSCZznnvZIaHlvMOMGAJKMFnhnWba/Ab1R8j7MKM/9LO7FE44M7Yh0ZqFOOXPT9iKGbxrTHczaL0iQkj22BDO2bCqItKx2Pyh73KYZt6E6CORxnhOYkDjhfgYtb6ARYWp47QG818zl4ECRjTDPLM+DrGpvR0AtX6Q8ciCZOOF6BUtO48wnvKV+jyUySsr5InMOzu6TbiZNzUFLhnLEKRs3C4KHr9triT+udMa9R5jNIfCSQffOrd2P959UO+KcO1rSynPJlDBfwgCYS0VgDBtpfi9aNxbk8689YAkl63XvKSHFRftWKVgv87XagLwiL5FgjWRhILtiKuMWdJtMW46P4iDwXEFwks+2xOhG7GXTdlweFd+elYlUe3tWpDre85gccdJYMuuItKB1Y0GkSK0bC9K8JIbw3zVtK0pRwMAyapuDaVsSrUNLjhTTiY/mZL1aedRWryXPyISj5hB+ltjTeWBnj2lTXae72maoVzC9IojwXk61fjaGlb3ePJScxmHZ+CYoTyxavOewaSAqlVQuEkwYfFh+3HbTnXXDQrKOcasgW5311QvwnxzHf588BjN581YQsDwXIGep6rYlVIsFGydFkQ8WVSBvS9HPi6SiD5uW9Z8PK88lXP6V35mVgjUyp1f4ehpKc3f5x6dVVZet1tcsSmCj73EaUqgnbiFmXCsqzxVTULPEzTKNlpO5+t2m0IRi47hY6vZaYpAsmYUMpapLS3wOWeKPCC05koZOGRrN6cYtUNBaPh1Xxt28+vvfGWgiNBLVZ2vfz+aCGISpHw5m3WwApkeHlm15Ro1bBdFVl34IKUrwvSWs6XVGTP1uU7wXPhsbkOfPgtAmj+Bn5hbNuIaNjr9gy/fLuFmAOV+bRVlgtWwuYGBwOy/0s9gYCl/jdl68P8ljeL78BXfzlfhoTtUcglekdFo3BToDpHTaEdBDeMFNs6YkrOkHEypyBu+bcRe5LOY/vaYCefd/qzzqNuYls454UbgtSpzA+0FdNhtZzxVsS/70RSIThw+UgRL3Wb8bhl8+E3/8w9cQXrdsy4a0bV1OnqOOH51CUailFcleW+372x4VepKSXAlOupu3FiVxO3kMBZa/aEvjFh9FAcv8gUDOlkKRydD0BVGq2vLpuDLeyqnK78yqL37rF/JY8L0l0Jn2QJ5HiRVDM+v2YTBTc9BSDZ9MqqYfTIhuP9mLn4Fb1pY3CvIdrP9kUqiFhAjU7bOEzkY5amTOEdwzizIawWmSJnSCSeGhZVAMKdekL4WhgcGMNkBPuQZzNtKtG9FA+BxgWkPLeLaZ9RD5YFHFxkDTYyZFdMIRWRm37/R2MXw1fsrdSjP3iRuQyiO2nLtMqecmi5SqxKA+tx5kpeFmcCYbG26JK/pxJnOoxWe7bW1OhZbcpi/ywaIg1Ku6XSM/iYcctnGQF3qSUtWHbfXr3/8XkRRXH9ZNnOM2OjWHNFVyxecQndDI600FKaobdpriH6SsyHvOesE3Ej/lfvf8plY5DDriyYyNO+qXv/8LhExq2S5/tuiUux0lsYpDzZbN8PNU9ON95BlPsiGLfN7P3FYnTugN8qQbLFm3D/d4aMmlT1b04fMMLzoiQebAKphFY8/NVPyUSx0jkti4WpS7duX3LHLGERx15RHIuqITjor1rjYgL/O12oC8Ii82IP4zGRwYc5jG0/TcsMsUqVTrZ2PQB1+GTIFyAdJ4iPxjQRk5g0OcEy5eDpQyec9akt1ROq0LHS3JYDqpv+CaeT0XLDkQy4YdWWv7i5h+UZJl3CwIdYcZDJSS8AKmwYwyGJqCKVUhLaR0xj2QiX0t+eYC0Jna3MuLxXM/KzkWLZ+OoynIubzzqi5tyL9REKxl+XFtfm7LqJbNBTFad7SkX2hOqjvxu7Z8Oi5yqPrdmA6RuiWIxEumoA09V4C1fP4siMP0/ZSE2nkfZUA5G9ayiu/OAK056m6d4k/n5QKt6EfjRERveFHTkjTiUCkU1q0bCwIuqDmES5bFDkPXqrpsCaeirt5z2V2NB9MuUrJk1pHwreiEmy5d1W0LzUqC7DSClBcPnx2SdqKTWgp4y81lMK7j8uFWj6bqtrU5FXqSAq51EpdsbFwXIMdt15NxNy+egsici+ys7rSliKe5P7yI92ngqwNqXV1K/n7jrZwAEhKDjqR201zvPWsJ0tavqVTUyld9d0ZIYlVdthSfdfswCeSmhP4c39sZkfwxYK32gKU6v+wWvX/dXo0EPY/pc8MuU7Z/ra/nZaIfnXCbQqEYfXdGppYsXlj40xje3pGVbCDie1ksex5k/+yc4jaUzx315SxqwouOQCdITOJ3jnku9HtwWk1ZVtmwIzkS/oKbaG+8lVN+E2dLw074oSS8U38+lPHwOSAIIzbuErZqDqJwpNbc51hiYo6Nuf8cQ0npg4iNu8Wr9xzeY9LV2LxHp0AyUkoJYTDZa6t//c+vSYArJ8bU7yeG3IJxJfq4aRsm9CWn3b+P2FxCCCr60TyywK3utFX21xuV73FaaFGkixnXiyrZY0tqPd8nNuzE6RI+wpwG41ZBQBaUT5UNY8sXTLtT//IBeEsYQsohmeeCpVo+Hcd0O4X//u9/Z0gDEnqSEj8Om6PwAr53DD+tPKrfD90AlQ/g72VTSnIZ/WieB1kVeHdJPjPec+EFDNBa3ihIAe09B4BAoOCCKfzafxTM4u9p2l5UrRtxT/g1ZKFkViet62R076OMABhaNxZUe0dWsjfWrHc3tfRLELxSux+yZe85N7eKd+1KDC/pd+EU/vf1NYvyzFZ1odnhBpPZLPQ6cbtZfdiWAQcJa9xIe89ZYuyOj+hzZRh3dfwUvg8+Czk7BGJw+87vVyCnnyeNM2ZmSMumgqo5aMnGrGEnUNGUqFLu99F/xAVBHznjbkMad5hC0Hv8b1VuYrrOQSt7b2y1AXmJr9UG5BV5sQEJjWWFIlEy6zLI2ZRQ40kU5of/nsC6+m5eRb91RsWfzsP0qgOaaFYMvLOM7BDLzdhI9ujJ9LWibAM4WYpOYBohuMbzlksm+eaC+Abq9qFpadqGgDbSeIxb4LGXD9iCYeT0vWzYkTTqin4UA/Ra8DL2XDIlvK76sC3SIqWUbAxYKDEELzGkG7ApR9bqnOB4z0Lu4nsbDPzaA/jPwQyKv/f+rRITmNt5mAu1PCbZg22P92EGxeApRyZDvsdpacI8l3BZeS6aYjymBIIFRXwEUgUGWpGQw2nnL3//F6plU0F5H2akgJck5xsFQdeGljWH/YoJ/PC9HAgheqKpFBoQ5q9Ev3VGVXfaIrkpG8alzaR5BlaVzjjSSCR7kPtBPrz3/AoNuM6Hqei3ZYPFELGOlrRq2ImtBC90z2VTfBKBd5axKdCf0Uf/EVclswADUO7iNzV6+QGIcM1bi/KzBXK2hDqyGPCexQS95Y2C8lw0XWmWJo41b0VoZOvrmNS3rcuJv4GUFfqDiJHkn0GUMAsATsEZ3BZaxjPGDd7v//A1FdNehQN/d0TFxjElLf1wQbVsBomJm7hATm8BLTTPLKiCWVuta1jCNmfaUcu/2iTpzsbNgmiw2YhVHkEh0bDLVMa1omr74ShyeKbxu9UesCTvIjGIBqjmILYuz58F4aUyXWJc+P2UFOZ/+jJu50We4i+geTbu5mUiTwgBG+XoJOACxGxyis1EeGrDidwumdXJ8GccmYi3biwon6PPn/tZYJTfyknInr+A7xgTm9mAcWN74Z/bVek0ilF+n/n8UlpJLwOzVlhslg1jes0NHxtmz0XQlXgWJQbRYCqlxB/me5xWPsuWpo/0NzYHLHKZ+cIgOTZKjW+iwBdUr26KvOfwuTfuACqdk3zPA2DPSUxL9kJ2FE45AjqQsL1T+O+4gQym8b02bhTEh0AoiHGtqOo/mYREc8mRPIYTP9unPJdMZf7TazA2v7ukmrcWhQTIJpMoePrqhIKlz0/6G5q2F0X6FxsDSCQ2rsMg9UCAW7B1DUsyhIvM4x5i+jgxyMS7VvRjy8B8FeNGAQ2opeVZR90kdnpXmCNiXAO0giGvsTE0UvFTjpDumOzNTRUTx4k7N+5iUMDG3LiGjSD/3cgc5G/0N3jPQS7KVzil07+v4n6JnHFEKsUsjbp92B77LJwTDTtBsUsew/nZtL2oPJdMgUfQV5oYcsRTxvOUqN+KfjSswYwtEkB/AbRJnpfEW9OHVt3pboLCKUe8eU3binIH0FhOEELZMJ4PzwXrBcgJwy9JiPNcNNEw5gHmKBt2VOTk6gbkZb5WG5BX5MUGpGI/6BCkJjEDgGZnzwVLvBqhJynB0dbtwzSTh3X4/ZRKHrMlOZgJ6hX9ujh+d0kuh5pDlhBfygdsIe1Ud7pSndjTeWXcLAjyMTqhZSm3ClIw0OwZepJCAXkZFJyyk5ick2vPA62jJa3CC5iAEUUbG9fJ00dwqFOWsNKUxwA//+O0mC+Nq0Wha9FoTAlH27qc8lkg9ATeWVZlJx3RA5d+uKCMa0Vl3M7D5N3v5gJ47gMDueWLE6KL5sSZUi5SVer3YJoWmUdB/PxZEJr0ZVerz6I58dGcat0Io39oyZHQOq6bSzTTnY1K5VFdHGZ0WrNG0XIyb9zG9I40IKUUiGcaOcoQQM8VUxKKAwV8LqSR+GxLyErG3bxqb8+q+CkUC2ubltVr5XMqcsaRBOT4qAYL5HGJ1e/B5VM6jcv/+bOg4D3XbMgr/+M0jL7aQE5kpr9oy6aMhk+GxzEXI7zgiFSpqhu/I83GNGGXnXRkE0KfhPccLkJiS72PMpJDQxM6A8SMGwXV+WW3TP9CT1JqbeOySFB8Nt5v3+O0uvsv9WJ3oiqsAAAgAElEQVSI9z1Oq5Gf75bPN7yo5TNz7tSTMhtCD5I9thDWAjm36WfTS+NqR0ta8i74ebEBrDwKaSU12QwS9Z6zZOvluaI3bh8sqo62jJDmGnaZUmAkhlDcNm0vCiY3MofP2biT/7NziuZun43iybiOwqLmkKXWNeC88p61RMZZ1YXvCSEKlEl57uXEG8TcBu+jjJDdnj8LCj2ITUD5gP2CrKXkNKSmpAlFzmj6zuM0/mztQQktu54J5qkkPppT3rOWbNDoDSORLtljq7//naGqDwM6sK4uJedQ2TC+f54rpmwfKvrxsyqlhAJVecQl9ZWcxvDBuJNXwfeWcN6lbfHSeO7lQMjSZ17lURRp1YdRQPpsTMZrD+C9qt9tCma99XU09NWHbdHZV/SjCC0fsNXGvx5SFX0o6knWYjPtfZRRyV63GH7+LIiiXuflcLtQ3Ynns3kLNirB95bkucv+eqNsBZlczw058yQolfKbtvrg3yuUUkroXE3bioIO5mYgcgbne9mwS8riIMy4WRDpKlGv3OywKQ/kbGlK1janER6pc7SYHcUCmJ4NghASJ/D9X7M+h89Nm/19lkvPio86QoRq3qKlgRexOa7oh9ww8M7yC/k3pHB5z2LTQEw0ken0pTCThK/Qskbd64Yw+q0zsn2lF4SDrpWYYm462ayUDTvSHDD4s3QGZ2uyF5sUz/2s+PQCedd0z9BZhiAmezAYq+rGWdawE81wVbctgyDjFpqW9o4sUNf6XAst4fMqmXUkgJDem/WfD4sUtvKomxtFZDdVGgz3jAyvNiAv87XagLwiLzYgf3l1AVMpPVHzPsqI7jvZi0LUuJvHhfB2xp0aXjKF1kOaCVf3Vd16onwvp/yP06rpBxMoRHaasp6t22upqV+8CTOriQOMpK3mLbgggmlbjOTrfjQizUVkDoi/pm1F0ZRSpsFiJbSkpUSjuEQiZxwpKJK9aEp46DBhOLSMKSDX1HwxVbhlc0H8GcZtMOhLZ3AB/l9//C+Youqfjzrjin5b5BxMoPaetWT6Ez/lSHhW9WFbeO/UrMZHdRDhgjsxjY/AsJo4oadm19HQGHcwLQ6n8LtU9OMgX//5sFx0PFSbfjCBqfg7y8BAauKLz8akilOuij4UkNSDey6agh0mgUwphWcg605fSS3xOe7ki/jeun06ZdyB0ZtAgop+XGxrm9MSTNayqSBbAmqaWfhQZkI5TbJH68KPuAnbLGxKZ9Bgl8zqpPPHaeTZbC3KlDSQR6OcGEJDSe9RMO1u1eKndDOs8aKkUCVO4OehvMxfsNWenx4DMU1z/pWCV6a6E81asgc/u9+0RfLE7xe3cty+NG8tCjKamuzwImhhJNrUHrBke1S/2xRSEn8uSbe/VpSCkDkvnguWGIJZTBO5bVxFQUozKUMAqb8Pv59Sz58Fse0jivV2HtNh3Xw2bUfz6C9q46qWTvlsSPRiY474ZFa+yge0dnzIkRT5jraM+IEoqSkf0EGXOpeHsIaagyu+azqfIHHCEewzgzE5GQ9m8Lw/fxZUf/s7Dzay45Ax1RyEL4Qpy4khRwI046ccCYP0XDYlv4Q0IG4E/CbOsIZdpniBaHyNTriQBcoeA9q/QxKS9xGkWOXHbdHtd37ZDZmODnSlvJF5SZ77WbVmA4pabhUiZxwZEJCixY2OcQuYXGY8+E00UMbVomyaS04jw4Fm+EDedjedey3x91DSVj4A2pvnoikevfCi407JL1gyLDCuFgW8UX4c/qKWzQXxdKzZAAlQMGNLUbtmfU753s7AjH21KPdNstf1gHjP4blgkjuHTTWHMDCLfuuM+KtaPh1H05a1BXsbG8fPt7YJZ6Zx8/9n772e48rOq+9/Q7blczqhu9FoNNDImSAIDslhEHMmAZIgQBAZBJEz0PEEZhKMwzTDyTOUNJJGskavRsljy9J8smXLKsty5s1brvrqrfrKN6z9Xay9ngNK7z2rWDhVLs2MSaDDOXvv53nW+i0cePmcJXrhWak5YKsNDQgtNG4BeBF4sixoYkJRkp14b/4ny9KMq9mPKUblMVumZM+fhWTSwkkRvWjNrRkpkLnG8h4wr+FnUXnAZPHYKO5LNhZq90IOKftdO4pYAjUiM64E71YexesyVjA9ocyUDQ5OIIw7CI/ldKe4XzcC9P7R/fMjkDPO4DW3NKVUSTfW88CTZfiBdL5Vcb+eomdA2mTWFzOMqg/aQj3kXs7GQvkJrEXhBS+wlKqO+JAroITg20tY72cxKWVgMuWakRk90TyYWitAXuK1VoC8IpcUIBcWJVWcOEDfJVs6+bFRVP8cm9fst0BMsbFIcoEg2YSIWr+DTYhmW+NuVvkuoDsTzGFz9du6CNCHIGqSkx34d/LLI7OuEHeKRnCIqN8JoyC77kUjnkk9PuiKByO84IokhJ4K+hCCOUd06qFlRxCdVYftFyhYsVEsuK2fDeKA8ABheDyEFLy3ADRuxjsQEZ9LMo153RLz+Z6fdMn7i07pBNsFzxRdegaHjpJvTL3wvqoOY6MMLXvEKAZBNn5vRBm3csLaj8xgg23agmIq/XdbVDDrqMFf7BfzXclZyEGSpzGtKB7AZxuZ8cypNGtzk6UWn3SokrP4nPb8pEu69kwmr9+Zl4MUDeiV3x7H53kTMjweLOp2W2pTdBwHmX5XaE1Nm7NCwgm+s4gDa9aTRdUcwCGpvB2vjZMQBl2RvMVijwftZAf+Lg+PvjdT4kOhrI4yCQYfbvzBgBfaeQoHJXa96bUgieXQzzqUcTsnMsSApQMbrwNkUHMAlCrzCqZx9bvyMp0IPFlWgTymgM+fhVTw7SWZ9PBejo25qv675yWTo+QbUzKRMq9As57swIaa6NMTvJwjh++a/ZZ8J1s/78WhQxvPzUcwXfsdGIQpMak+aIvhvXDclSL8az/qRsF4Qh8qr1jq4W+rJTfEuJmXAm/jDwZU7aejYhyt2W9JQyAy/ccSrESvK8biiuOO5KCY1y0JfiPRLvjOImAKORQRqzu59AFRb1/w3oKq35mXSRZDRM1HaenKBzVKt7UWuToLf7tNPg/zQUYmE+w4x5/OqOZWD9LRtDmrfG+mhETEhO2G7XlJsGdDo7wd0pmKNkf+LNfVps1Z1bwhoxI9eC31OyGPMq9DJtpauyid8KJz6PBzPfM9TqmWZhQtDGIrO4nPh96p8hP4fOp3QfpUddgW5HGizxUdPIt82QsOYL2q+XQU3p9jmGoUnXOlK09/ACVCJd1eICIDXykjonFfjMVzrrJ+/Rrye4Zcke6WfhNFd+E4pmnmNUxrmQdVOK4zXDQJ7P/8p4Fn75ol9wjlj8w2IUKamOGK445IXQsnvEkg0+2Zkl27D5O70i5I94jerjlgy0E42YFGCn1WpWfwWdXvzEvuUnk7vEvsxhMpG57D58KmRt1uS/xbfheNtpoDtnT6w/MoPEq78PpZvJac9YqawnHvdfkueq+HV0m3hqHcyHvGdy0R812w5R6oOWALajo25oq8LpD3GkPlJ/C9VB+yJSgzPozf37whg2mMlofV7rUkQDDZ6QjRsvogGg/bP++RPYFrIFHTtXsRB1DR5qiNVQvS5GK4ZfK0hsukPbJWSTc8l5wmr9uU9bKGFj06Gz1NpWccFRxfm4C8zGutAHlFLhYghT1pOQiTDlN1GIe0iuOOGI031C+JSZbaWh5Ei57OiObU79oyiShY0oSZRSwQJWcd1Vq9AH2/Tj7mgpTo9VjwRNZS4xqedwXjSzJPMOfISJm629goNtG6Pfhd7AAWD+jsg3ZHUsGTnfj/karDgxU9HI3bPCxh4UdzIk1iiBE5+8UDOlm118Nv+l1bHfpZh2r9bBCdpzFXsJKUTlQeQ3cp2YENun5nXkIHGW5VdhKLuHnVEukGzbA8UBQsukLWikzjdfM1EE25sWpBpHJk8De+nhMfQ2xUew10t5BUFmYIPH8WkmC0xtdzEhDZuBWZIEop9fC31YJ8JayARQCN4Azzio2iCK3bjTF62SeTqmgEnyV9I5SGBd9ZBOZ0AQeT5taMHJaiU674g4zbIITV7oOPhoFYlcdgTKR5M7zgJRRzMsFwuepD6P7SV1S3x1KRD+aVeR14Zo79iwe8TmZ82FU/+D2KhPJ2R0zpRSOupCITIa2UUrGPZwUfXXTO08WXdDsi1+MzR+IQIQFlJx3PBD6GAxkJbuYVSzZPbqicbLFYCOS96UyiF99TeTsoXoXjGgXNjbfHCwhj19Tv2PLMUupU0aZzB7T8MjLtqj0/6ZLPMdGLaRElHJx+8CBjXsMkYOlvt0qy9+rLWMnL76jbA+lI6RlHphzl7d4k0bxqgYZ3K4fU8gO2yGXMh2llXoV8JTYK7LTvcUrkiiVnHSGiJTu0cfy0Iwjhut2WqvrOGIhOJ/DcNrdmVGmX400bj3uG4mAWVLpdPz4jEyxjBRMz35spNC96XNHPR6axfvhdULBKzjqCOi/8aE7ut8JxbZbWRZdSCI5r/v6wFNPxIVe8DMG3l1Tz94flQBk7r6cOU14XnB4NBhQS+hGZ9SbjzEUgpY7eJ05bG7bnxZgdeLKMDIolRw6VNCkn+jzQB+UvsfMa+XorJwhyv2uL7I0yU+MWprss7pgp9PxZSIhZxMhXHbZFmrc6iDAy7XmN2GhKntZyoGt4rfQrRadgbmZjyriD388DeKJPT/s0Upl4aHpiYqO4bwiEYDCecTf7Ar7avA6PB/cuSkGrjthq4w8G1Pr1afmdyU6sofTXlJ3ycm98F9F8opSNpu3CCRRKNQc0/nzElckDJ2+BnPfsFfejMVD40Zw0mWLn4QGq3aeDFjdlJS8plNayvquY5jbsyEtThntI3R74WdgUMh9kpAFhXrZlvQ7Pe6hzQlMq2hzB/dN7Rp8Mm1GcXIZSjtoUm/B8SToDq35X/gXpZNGIZ8D3PU5hH9egjLo98E6RuBXM4awQSjuq9MjaBORlXmsFyCtySRBhalmkLNEpdBWKB9CpY9aG+SAjzHia1cNzOHg3bUYCbtE5V7qPvou2HMrLTukx6oA38uZBkV1T/k6GTRVO6MVxBAtCzQFbbajHaDuUcsTARtlGeE7neWj6SfUhWzZDHlqZxM1uerLTSwUvP4HXwzwOHmZ4MWgq2YmOZeGEh36ND3rmNeZsUIJRsIgFt2lLTrp4xBH6LkJ6UnPAFmlVSTc2QtJjQmktAUp5/2vcQ8ieedWSww8pYPFhvC7fBSyilAWwK2g+yKjqgx6BJjKru2jvLYjmm8nqRedQYATyWHyDGRwMiPKt/XRUZB5KwYRe2gX5FKdWLAYat4FMUnkUFJaSs/BhVB+0Rd7GLAQa9ZkaTNISN/aW5pRo69e3pFFczGGz+dqPuiXMi14Z3+OUIIEpXwrkMH3jYbhoBNkJJd3omIWW8Tn430qpjr8+Jl6Cn/zerwJ5R0Ik2bGsPgg0Kg+UoWVPRtL0F+dkgqaUUg3bYU417mcELNDcmlHGG1nxQwVyjtwP4TncY9WH8L3RNMl0evNhGtIdnVMRendRngXjVk4Oo/xOOeUxr2JDn/3VDlV51JZMFOM2cNb1O/Og3UzojqNGPtO/EMw6AiIwr2GKE/1wTrU0pWCU78EaEZ7HfcD7lTIs69evidyFTYbw3B9PQEJpL/mdmvr4INan8hO432r3WiJbo8wwkHfkwFG7F2b3+KCWz+mij96uxtdz8owygZpTtUBeo6NHsHbw80j06eTyy7Zq/v6wNCOYQO13gNaV3ALtkan89rggpyltNN6A1C28gO+P9y+f75JurB3M9mEzp/xbE0opgA0Y+MggVN7DwQzeA03yNLeXdOM+pYyNsq7gO4vyfIVSjhiLh3+5D56Sm57s1bgPbwML/qbNuIeZns33VNyPe4fNFj7rnGaaj9JA9zq2hLZyel2wiElw1WFbmY+QD0LKWmQWRQFlu5Fp74Bbuxc+NPrKlFIiS6xoA0WLlDSuLySr+W1HCHDNrZh287+Z1yx5LklTLO7H3+V9Yj7IiB/FeCMrxWR43ks7L5zwXmv9rrwYquv2AHJQ9HQGBfqjtKo6bMM0/ga8N2zMhZY1uv3dRWR1TeI1JfpwjxN1vv3zHiH1BSz4Pbh2bf+8R7wyvLb8sE8aNczHCb69JDLQZIcjXrdkJ34eJxi1+ywhLRLhXtrlyZz53dJjZV6zxAzf0pSSswHXqbKTjtocHBGkrnFHU666UVi0NC7Le2HhlOzA32MBSEIgaWXJ045k7RSdcyWnhXJt41bOU2jocEyStopPrBUgL/NaK0BekYsFSOh8WrqbPMSys0GCUXzYlQNq/OmMCr27iM6uHt3TS1B+AgcAauzbv2gXOlbhhE4EP4eFouqwRgGOa+/JJYzvw/Ou0GBIlmInnSNVYiWZ9BqZ0b4SjR9tbs1goc45kkdQ++mo6NMbt+YkaImjad8FFB7F/Sg+fBe8kXQw40jHXYhSH8/K6Dw2hqKD3azopDbwa0Qw9dmF49ikjfs43Bq3c4LYpFaf2MmK447QlpiTwS4SU5r52Vz8+w0iB2PSLNGfvscp8YmE513Z2PxvpSCJ63NlWlJzQHPpF1D8lJ2CnyDRi0218pgtGwAPLcGMV4DwwPJa8bRa+NttIq9btzGDsb+mfT38bTVkfHqqws3XvGqJJtm4hQIlMo3XVTzgeub/fhS2pJAxaDDywbz4k5ivkOjVKOerOPzV7LdU+bcmIBnsA+Wm8qgtGl8Gw5kPMirZAR9H5TEd4NfryiSCBWF4AQcImvXLTuFQ37Ajj0Csh2l0dG18TsUD2Pje/G0lDmp6KkVErt+Bzr/yGO7H4DuLOCR+OOfJcp4sS/YBJ28kvRF1HB9y1Xf/OQKjasYR43Wy00svZiEf0ChVJhvL/fc4helO1pECqH5XXvwC5hWdC3PWy7ehDyA876pdPz4jeSos/qOTqwJH+7QmXdPZ/O4fe0Aq2hzx/CQ7HNX62SAAB1ctQehyMpjocdXv//0rAiNIdmL6x/u7eAAmckIN4oO6cfIgIxjb4DuLqukvzsGo+kZWQAYFi676/PcBFVrWeOw2R6axAe0nqtuDbi69Okw9b26F1CSYg9a96JwrIIZdPz6jzGs4dLI5Q9Q4p4BE4lLeEzuPQxF9akUjXvYIqUnRSRStf/Mvfy6G7satHnyBIailZzQ9T3tt6FFZ7SFhhtPqbI2CJUd1/PUxFDVHbfG6lZ10xPSc7MB9nzztqO2f9yj/WyllXrdEEskDKQ+MLHSZTcOMjrJPJmX63dyaUb5LtuRcxEY9kiCbXc0bMvieD9sv5IBwXWaBb17G+rpuI35m9SHsSbExFKXxYS/ssnafJc9qRRumEMlOrEHxQS9sj58nJUuJHlfWN8IdiHWOD2JivW5TVjx4Jd2OkMgYSsggxvAc1urW6gWZnhgrecHhRz9EICuDXo07OfGIFCxhIscCgoASYtJXU7CKRlyR9kanvMwvospr91qiBqAPhh4UprAHs454AjkB4pSCGWGcaLIBFf1wTuTXlPnFRvFna/dBNkeKG4NPqw7bQuhs3JoTybffdgSEUdqlA3n1pLlgCf9OT2p8WE+dNTTHuJtVm4MjQp/0XcRaVTjhqqLTaxKsl3mtFSCvyCU5IDMpyS6IjXoBfuZVHbh2H9SI10pnkDOwLSdd6ro9lnTKfJds79CUAeWHuRo87NTvygs+l7Ic6lwLlhxBZDK/gQtFfAgLG6lJpP2Y1ywZ/VcfhC6cWMy6PTDMNW7NAResf59xKyfyItKpmjZnVc1+jN/ZDSk653VjmS3hd21Z/LiRUpKW6EEns/bTUUkeDi/g9TbsyIvcpmlLTpV+c1KZl23BqjZtgfRADMbnPCY+NbSUL4TnPdKOeBsG0TkNvr0EScCtnASZhedd0d+aj9LiiSDylfjXkrP4DBleF53Ef2fGRCjtSIgWQwn/6l8MZdwFuai83VE/+b1fUr9baxfFqMjDaeG4K9jjdZuyErxY2oUD8oa6JXTVU56Gv35nXuhjNB7Ghz2kKVHMTVtyGKfrgC3fRRhBnz8LqYYdIJbxO+M4nZKV6kN43wysK+5HB73qMGQkZMSXncKByncBRUL5CRxuQsu6Czzo6aID2uBccdwRs7pSCLWkYb3spNbDa9JN3R5LAriMWznQlD6YV/63UnJgig9DvsXfx4lI6Rn8DPqOeNDyP4HGuXErpEVEyLLwrT5ky/So8KM5yAI7HfX7f/8KJApPlmVayefAeCMrhWPZJ5NyeKzdBz9GxXEUYZwIxgddKTiY39O0Oasqj9kib6Tn5g+vZIcjwXqlZxyR0RGJzQnH1s975TmMjbrib2FwYijlrSX0WDCfhXIZUp4o/2S3+vmzkDJuoqCMfDAvUIV9P+2EbO8GPBc8FLOjXN7uSO4J5S7mZUwn17ekxWNU3I91NTznyevWbcyooqczKjKDyUVplydtMu7i2WEQIac6xj0EItbsRxeacp9kpyNeHBIB+X3SoxWZxTNDxCkJb8+fhdT//Jff6wD3e5NJek54oOZ6V3ZSJ13fgNzNvIbCKfjOour++RHphocX8P6NOzlMbnSmVNVhW1Lsi0bwGpu2AEYRWsZ9V3nUFnhE2UlH1nsCPxhSGp30JiDBdxYFAx6Z1dkYOkCydp+XWRPMODJdrdlvCSiB0k3KRQmliE7ifZBOyKkPTf9Vh+GVrN+V96YU2lfDqYlxOyeyZXpgItOrJsmnPRw3Ud2UGCZ60HwpPQOPHQlU5lVLTf/qazg4a6kVwxYrj2KfFIyw7U1AKKUmEr9uN6aXzAAjopuyMWakEHlbecyWrB76C0mo4vuNfjgnIIz6ndgjOR0Mvr2kNjQsq/ITjvhN40OuvH9CWTaWzQFXPueRyUIp+Doo463flRcvZGkX9oymLTllPkoj/6kHRX/lUVsS7ivaNBQk5Yj0j0W5mVpeK0Be4rVWgLwiFwsQI7OsjBUsIvGnM6rkLBa6gkUXC8LTmRfyOoybecmKKO53RfPuu4DNqfIousXhBVfY+gVLjgRvJXpwiDn5V21q+Jf7pLtg3EBxws0l2YmDt/kwLR2VQE6bx7XZO6DNplWHPVlBZNozOJuXoaGlPr1g0ZWUXpqLI7OujF9JiiLxh1cg7wgDvfogNhMmnpO0xENa1REkkzPVOpT2OppMIubh0XfRliwFIodDy5AT1O/0yFa+C5D4xEYxwYhOuuqT3xUp8zrMrQ3b86LNpdmW/o6WxmXpWht3csq8DqmZ38U0YzURpXgA77Fut6WMu1lPivDpqNBrjJvQ0lI+EJnFobHkG1OQAWjddGzUS/blgZgHQx4KyH1neFx8GB295g0ZIG81/ahpS046vObDtCBgIx/Mw2twD2boqsP4vZyAlJ3E4TQ+6KrhX+5TsVHQ08yHaemwJTs96VxFG+7vijaY9f229kdo/0r0Q/xzS+OyeGZiY6ABsUCjrp33BKVpNAyH0jo/Q2OY63Zb6r//888g49prSapy7DwmHaVdjhQz1Nxv/MEAzMrT+KyTnZoGNI4iy7xmCWs/mMMhMjbmCla4+fvDyncJHXSirH2XtDRvQpvv87ooGMTmzu8qNurJ2Myrlsj/ZKowhKKLMhL+vLKTjuSf0PNkPsiIp6PyqC1Y2dVXeA73BHGelOqUdmkqX5eHs2X4Jf1dobQnwyztQoOFOUIBy1E/+xcTORcXcGgnSps+h/Yv2lXBe8gooVnauJsV2QxpU8YbAE2sb0EuBlG1gRyKsaJzOmFcF7XPn4WQQ6QDNctOaR+ai+8jMu1KQCPlIEUjWI+DOUemvs2tQKeyaGHOS2zMVbO/2iF5Hzx0m1ctNfiL/Wjs6LyQfT/tBClOy+WaNsOfYF6xZD0sOavXpR0wTYdSWEuKB3Q46EFbpLnGCmAK9HxwSk2aE6V0kRm8HnoJS7odkdWE53Hv0+uX6IWUUfYXejWO2SKxadieFzNy9tebhKzIIkopTcHSEwPKKAOWIxk01P5zSkTKX6IH/0v8dsByRL7DaReLZEqHEz2uFJn08kk2zSQO2XyvbC41f39YnvXQstdkqj5oq9JvTsIDovfmYBafFTHE/Iz9Nva97/5zRJ5Rej6M+7i/iwfcF/yAdbtRvPEKZj3vZ9HTGQlVbNiBqU9FmyPAAFIjy09g7eQakuh1BQMczOG1MlumZr8lXjb+WeLMAzk0Jxp25JFPNexN5QhniU7ieSQVK9EHcId5FeeFwgm9xuzKi7+I+0LlUf2sa6N+0Tl8pmxqJE874o+h35P0uoDlqNDo2gTkZV5rBcgrcrEA8S2mVM1+S/CulJuYDzLKvIzNgwnPJWc9UpR5HSPRxtdzQskwr1mSRh0fdoUDn+jDny8cR/fWuJVTvgvQ+haNYFMpP/Fi5y0yg8Niw/a8JNQmO9G941g40eOlz+77aaeKTmIT4SKb7MBhmpuJ0LaWgSJNdjqScl6w5KiRL/cq41ZOEpF5Raf0QeNOTg6CjVtzqvn7wyo6tYoScgId5/ggOlqRaUwm/C58DJRrcWQdG8NC1/5Fu0gJuAFFZqBnNe5nMGlYweSoaAS/v3avJaQvUjqIOGannBrdyDQOOaFlHKgDeUc08vFBHFbq9lgirajbbcnmaj7IqESfx1CPzLpyuAjkPH48E4lbmlNCkjJu5+RgGUo7koAdeLKsKtpQSK7bhOKEVBN2xKsPYiISXkAibcEiNuKWxmUZm1ccx8GSHV8SzSIzmHQJLrlHm+5vg1QUSjuq5BtTOEg/WcbnrEPMiJVOnnbE50EJw9bPe9F5fR95OJTvFI3o6cQQCqTnz0Jy0ChY8oospZR8lsbdLKY7OUcOZww+DC/oIvJ+RnxNDdtB3Er04DmLTsLM3PM3h6Q7F0rjwLrxBwPybFB/X7CI74M0qeJ+7alpwgQ0kEdREMygg8xnPZBDs0BCITM42FUdhnyIzYXm1oxq2JGX1xCedwVDWuPH58YAACAASURBVH0Q90DT5qyYugN53A/FAzhgVBwH+vMPr4CF56FhO+5/+q84DTNW8lIcMCE8PoxmR3gOUz8egppbkUJdcdwRRGxo2Qt+TPRqCuCbKfnnUMqRA7J5zZLDZ+w8urg0YwdyuGeNOzmZDtXtsbwpmMYuMxk62YHPqeQsPvtgFvIsIrmNFUxV4kMuQku1l+H5s5BgRUPLuKdKu7Q35S/OKeN+RqAANFjzUE2oQDAHDxaxqAVLGuV9Iw8KW07T6sZwj0z8P7vUkb88Kd1mv2tLQCezXiiTiT+dwZrf44o0LTqlM3zeWZR73riJ/+UBPJR2ZIpQcdyRpHKmmzOTJjrpik/HvAoCVcES1oDVHfb40xllXrPU9s97vAlIzisumIPEf1+/Po33ouVoTH73O7Z8F0RSByxHlALs+NMwzalabNTLl6KUjLLQ2Hncx+vXp5V52RacOqfgNfstoRGyKVfa5TUGaeJufB3PVs1+S63bhAK27JRHgaw6YgsRkBOcRJ836Srux7NCpQIvFlclZ/WEeQXI6sgH8+JdS3ZgSkT5kv+tlEx/iSrnc1J1BPLK+p155buIArnqMDx8RU9nxG9FCZvfteXei066amPlvIQ+0lMTfn9B8N3c58zLaISwkVZ+AhLMwnH8voL3kI8TH8LEsaTbkxdyAknwROEEJKQsJjnB+erFxbUC5CVeawXIK3JJEvrjcXDOBzy9a0WbI6Scut0wltHY2LADwXF+GwsFOfXl7eg2tjSlBM377d8ViqGaU4TKY7Z4Gor7PVkRR6bssheOI4eAxtiG7diwSrvQLSR/vPxbE3LgphaU4/uSbkd+BwsTms5o8CQamBKksk8mZVPkxcwQyoDYsSk7hc6b+TCtzOuWOvDT08pvO9IlNh/Ai1I4js+xficOStEP51Qo5UjxkjyNv2PcyMsmzDTd8BwW+K/9qFvS22kmLG/HoU68HRpnyq5PohchUsEctO0MlmIXmmhiHvIKltBVpr8gNrpK+nYH+lpK2SjVIL6RGQT1u4DeLfxoTpkPMjLOLjuFDT0yDSN52SmNetRkGW624QU9abuXBeBAk3A4teHBkv4dZq00bcY9adzPqJr9liCdw+8vqIbteTHcknjFIonTnJoDMHVXH7SF1kZJATdIHt59b6ZEnmbcwKTq+bOQ6Knr9lgS7haddEW6p5RS5lXcJ7Hz2CTpe6r6zhhSiR+npMtKf1LBEqZIDI7jM7FuE35v6N1FkSIZ9/DneCBnIZDo1cX/nZx4SYiwjE6ioGY2RfkJRzCVQf09Ryc9KVPAwvcT/XBOxfVELvj2khh0zauYwDApmQZd30XQaGheLxxHIW3czAMD3f9/x/AWnXPV8S9OSGZERZsjxnzzGjIMjBVkIjBThkUyiWDNrZkXMLDGfeS8hN5dFOM37xEe8hf+dps0UqghT552xOhL+VngybIcmGg2TvRqFPb7Cyp2HhTB6kO2JFX7LtqC4Y1Mu/J9cZ0M5vAMJfrwvCRPO5JKTdkTaU7ElPLgXHZKTw56XKE1kZIWnsNrCy94HrXkaUfW2qrDkJwE314S0AffL6e6AcuTxASeLAudiQXW6nBMYqApebv1mwZVegbv5fmzkDLuZdXWz3tVZBbFTeGE9llo5HJ8EL+XqfexMXx3PCRGp1yZOkVmPVSv+SgtXjIWIJQDMjywcALvLZjVYJIOTIo4TS07iTU4tIz3H5nBZ8X1qLk14/3ZU15RH53SpC/9Xa3biIlu4AkSvddtzKj4ECZaLJZplCZ1zu9o34H2SAZz+DyYA8PXSkP7+pa05PPQTM/is/qQLY2r4gEPfpDsdGQStzp4l1Md4xYmz6RLrc4o4eSqflde/DkNO3ShojO34sP4DArHNU56iydR5HS9eACNrfqdeaHU8TxAtHrpGTxzNfstCRik54co5sZtOeV/KyUUy9Izmva4LSchx8YbWazl35rAuUTT0kq6HcGns4llXsMesr4FRSL3Sv+9qbUC5CVeawXIK3KxAImdSSu/7bzQKaGmvGDJETJM3R5sXlVHbOmAmNcx0iwa0SPobkdMqUw+Nm5Cw0+sKUe7xf2uEFGKRpClwfA4435GxZ/OKOMNbIqF4x5JR4L37uQktbpwAgta1RFImhI92gzXgVTeym+PC5XE9zgl0wcGHXLTCb6zKObA1QsyC4Hw+wtg5e8HhcZ3CaPxxteB/iw/4SW180AW1ThBdpvqd+Ylwbu83ZHMDTLeKW+hHr20SxtG30wp3yWMsZOnMTko7veKsPigp4WlOddYwWGPv9v3OCXBks+fhZSxAmN9wXs4JLFAIHiAOFkm1Br3M6r201HVtCWHwkcf4JVSYO7PeWbgxm34fpj+zp/HArHkLKYnNQdsSe+mP6TonKsavzcisIC+XxwUrTMNn9FJTxqSPI3DN0frNPVu+WEfJmeaAd/SnBLiGn065qO0atiOTTS84Jl4yYLnRIVdx+YNGRndtzSlIH/RnWGmRftdFNmBnCOSRh4W6UUgMtO8AtkHSWSUNZBaFjvvhWWWdGtNuU57Js3MdwHyHhKpCpYgm2PxZl7Bc1q7F9K0ls+GVKJXmzi/MyZJyyTRBbMaWa3RlAQo8BDJzd13CQ0IIoyl+LiJAp+vpeykI54x/1spFXp3URoONIjW7bbEJ7P6or+B3yPTzynRbNiRl248YRSJXlcwsBVtmDQw/DQ+5Eq2QtURkLvGvtwt33MoheZL+bcmIFs7CgJRebsjOTu+S7Ycqo2beSnKScYKZnSgpdb0G3dygrYOZvEeWppScghOdjre+nEDyNLIDJ4Vgg+ePwup2V/tkPU5lMK0VSkUaWUnAQKJD+K+YRHJgD9KeYy7WcHgErtdeRRZI8UDeCaaNgPZvPXzXhWd1EWJnp6FUqDaRWa990qzMjOkeMCvPGYLuaulcVlww8GcI3lFoXcX0fDRh97avZZ4KNgUig9pFHAOhbjfsSVXJrzgyuQjNupKwCUnT/zs+DnVHLAlqLPspJcfVTSif/cc9ppEryuI52SnI+nlXNNI7+NrKel2RGLVWrsouTmcojH0bzVmO7TsSHOAXoSWJg8JS6IakbNMC48/nRGgAKerXKvC8/h3FqFUGJgPMrg3HqUhJ8p7xC1i8HlFp3SW1XkNEniyrNZtzHgIbi0dLFjU0xQ9zWzekBFEcvGAqzZWLcjEjflOhG0QQhBKOarvFweloKYfj7SqwglNDtOe0JbmlMgsjfsZycqJTnlTSFE7LHhKAq5Z4XlNrtT4YNIWOUXmPUjpLsMYmTli3p1eK0Be4rVWgLwiFwuQ8n3LkDfMejQqke7MeFOE8AI2NvM6DgrmZRsHPI2+LBpxRbfPwCEaLo2beehxz2JBqWjTevXL6KgWTniHqmSHTt1dyUuSsnnFktF3dBKbFbue7PptrJiTxarsFA4RGxqgCy0/gcML08Urj9riYWC3kRQYbmCrg5mKBzR9acCTsSR6sZiXdjniYzn5V22gYWkcbu0+Sz5LfgZVR+wX6EFFI96hx3cRGxu14MlOnXirD8g1B3CIZPhaeAGHT2G1626W+SCDMLlOR4IfScGimZRdSPNRGov2FIrMZKcjum6aqcmWZ+YKu3DMmVBKSSbJ7K92SNeahVbROX0QW0Gniht9aRc6TIQFtNYuytQg0eMKR77oHP6vdh9yHmKjKDgLx13JNohM4/UXTrgyiSgawWFqQ92SFM3VByHzs379mur6+VHxFJGIRYSrpGVnHCkajJt5dBrfTMF3NI37Nj7obWKUGARzKDwYZtWwAxheJmfzYBGddNV//+efSUCZcQ+J2yyqglkUaskOFLzMi6EGf31LWvJX6nZDA110DlO2fT/tFHM37yl2wgs/mlOf/K5I+V1b/EyFE3pKsgKvVuFHc2Ko5mHAuJ2TCWLi69NCgqNEMj6E12Hcz6ATfN7T05ecdcRjwSBIygxZjPzh5X+yLMSn4DuL6l///SuS7kxKHs20lDgKoUfL6ZhjwMMIg0HNqxYOwHOet4O+DfOqpXwXbcnLKR5w1WvJWVXSjfRqIm7LTjmSdC6ynLQjfiySqUgJqtsDTKhxA3p4SkHZlClvd4TINPLlXpXoxb3KsMf/+S+/HILNh2mlFIo0Im15oKI8jVCJyAy+h8isnmKOe6/ZWEHR43dtWS8LllBUcB0h5jcyg0NwohfPiXTW+3X43kdzqn5XXgALhRNYbwonIMmifDf4ziIK5kdpmVhGZnQhcV7L8tocuS/ZfS87hQmM75ItTRpOJ45/cQLZGNpvxCKRBUjlUTw/FW2OoGHZzGC3nr6nkrPehJv+gZKzjgTkkVjI8N7SM96UpOwUfn7BIj5zrvHxpzPynZR04zuvOI4CoPqQ9gxq5DoDfau+M6Y2NCyr4gHsSZwmV7RBjsyGE1HxNP6HF/DfKVdcnfoencQ9QIIc8cm86OXiZx8fRvONDUT+Xd8FyGRZ6G+sWgAI5ogtVMeiEexJJd1edgobAn7Hlu/evG5JbkfDDvhNaAKPD+sg3z5PCh2ZxrNV3q6JnVoa2LgNBnPjjayq242Ct6RbE+quefsxp4EMb6U0i0Vk9UHs1USzs+lZvn/NhP4yr7UC5BW5WID8ubWEbsAyRqtE9NXvQrhS1RFbSE/Uq7ILy/Ru41YOBq00Nq7ydkfMcJxS0FDLDlDNAeilA3lHAqUKJ1wpIihjCM9hZM3pQqIXMofQu4vKdwEyhubWjEi3/DZ+R+G4t0FSO1x+wgtUi3wwr4oHIG+IzOBQzQWIHgJeVYdt1dKcUts/7wH7fhGjZ99FWzS/jVvhhQlmHeGzl3Q76pf/+lU5GBeOYwGmpI3SChpaOSVo2AEoAEfP8UH8WeNuVrU0A2XJQi1gaaTktVUJrvpwU7CEzyKUcpTz961Iy31vQTYkIlBJonr+LKTqdlsq/XdbBIvI8LGCJUcyUmgkL1jy0qt9j1MikfNdsKX7Zj5MCyiA0jtSqXgYpy7ad9EWn455Fb6MUMqRrnX5CUgQNjQsSxBdotdVI1/ulTRf4za+B05djJs6BG3KFWlAS+OyGK0rj9mCTq3flZdUavNhGp1/TZAhqCB23hU8csGi7kCeRvfZuIPwO78LIptxM68atueFx68UgAbf/+ewqtttiQZdDox3s5LZkjyNz7Z+lzb+vrsondjSM46k09fttiT9PZDTwZWP0mrdRsjfSs8AS0ozKalPxf2a/qSnN6TQRaZR3JW3OyLhCqVwQCB2uHBCY0r1RCu07KiWz4a8wEltXg7mHCGE0d/DaWXZSUeeVdKhQuk/LkDig2gYhFKOdNY5ESxv9zrQ9TvzktpN6WD5CUeM4tEP51TpNydVKOVIlzWQd144ONLU73cwGaFXgxQj0oqaN2RU9SFMDRjOGZ3CffGzfzEBeLiXlamIcRP+lU3/q1/w3+F5zyNBRPKGhmWRKrKQqd1rqdpPR0Ffu2QLYSr28axkyzx/FkIXWE9GjJW80Ntio1h7o1OuBG+WnMXBnzQ281Fa+S7YqvWzQfHnlZ3C72C2ArXwAQv3mHEzr7Z+3qvC7y/gOXsjK1QmFrqUVbIAjT+dUfEhV7VWLyjjblaQreYV7DMtnw2pyKyHr63f5QXu0ZdmrKCRcvcf6yANWsZ9YdzPqNgo5DjMbFm/Pi3+KqWUYJN5QN9YtSAeB97jJCZVHUYjjpN8TirDC7hHQmlHpJzVBzFh8F3EXhDM4P6mOoBrMZteNO3X7rPggdCHfea7cPLMENPYeUhpKX+jZ6FutyVIbBYBlUdt+Oqm0TAM5B35GY3bQPWqOoxivmAR9xk/b14s8Pl+4sOuQByK+1fJ6gZWUbAOQWJV9smkqj4IyRybMOE5/O6gnghHJ/G8N76eE18Zi4WA5fmUAnrywWKt5oAtKF76eCg75toVnsPPNh9kvEJY0/JI+0z04vfQj5fscOT+CeZAyarbje+bU23mmJUeXssBeZnXWgHyilxSgOSWscHmHDGrksKxOvHcvIJuLDG5pN6wo1Dejk5BdBILeOEEFl7mSNDoxu4UzWnVB9Gt3lgFCZb5KC2jYZorzQcZyalIntYJq0PYbMxrlnSHGeRWcRyLTXgem2HNfi3LOmxLJ1dyAbq8YMP4EA7v1HzyIpKQh0QGizH1OHbeVRsr5uSgym7Kuk0wzJlX4P/wXbCFjpP4+rR0W7kQEi9IDnr1IVu6lwXvLYDENAlvTMGiq+q/e146reF5V3wPTIelRIpel4IlbxFmIjt/JidRRU9n4KW4k/MOstq0WzSCzbVgEeP2lqaUHKz9DkhdhePe7yvuXxVseSsn6dLcmBigluhBErZ5BX6jijZvWlK/My8Hl0Sfq7Z+3ou8Gv3ZM72e05yKNvg+ytshUzNuoFA0r1vKuI2Dxab/1a/qd+XFcBofwoHGfJCRPBNOnCiVuvYP65Ah0o7PtnFrTlLDAzk8F/Eh7/AeH8QBs3jAVf/7P/5UDtfGCqYHxq0c0uVP4vOsaEOhEPlgHtIrvdmzgx/MONKJrz6I4n/LD/tU2SeTUhAlerRcbAr6dMruSs46HkmmyxEJlnE3q0q+MSWp8EwqZnec8ALmDXCTb9iOA1vtXks60dEpr2jkZs/cH98FW+g1jVsxAUt2aC/Jbc8DUXL2jwuQ0LuLqrk1IzpzgisiH8yDkpTVAWUree+e1tp3v2OLDKPsJP4cqVThOS+Ik4dr86oltCL/WynJJmE2DiWPtZ+OojPa7ojs7I1/rFGRWaTA88+xu1t20lFH/vKkqjpsq9dKptXWz3slT4jUOR6uqg7jmWcSeeW3x1X4/QVV8N6CF0Q5hWlr3W6Q1czLkGaWfnMSxc8bSPUmmln8dl+fVo3bcrh3tSE3uKrrzsKZfouSbg85G0p7k/DCcS9PgWs5aWTGG1mhihUsOTJRZzedB1LjJiYBJBbGh2G2JzWRRVTBIn7/lh/2qYIlR/3Dv/2JZPKwWKlo81DlDLFNfH1a1RzA1J0FCL1STNyWnA1mPfS4st/5LtkyLSJ+llOggOW8ADvgJJ/ZLeYVTGqZT2S8AZ8eMb7RKZD0OOnlPcjpCSEufL6YCUJsuN+F56e5NaOCby+hIOhxBWNf3I/P7MBPT8s6wmlUyVkUbNzvCBGoOO49e1WH0Zio3WchIf5hWgW0ssC8bslesm4j1isWBfQv1e/UkuUF7xwRmdH+Ez39piw2Nob3UTjhhRRzvTCvWXLPcQpMKialVoleTIFZFNIDFsijwKvdB/mpcRteQ4Zymg8yIgPk/Z3owWuJTuHzLFjE55bsxJ4SWnZUw7q5tQLkJV5rBcgrcrEAKexJg1c+4mFzgxksDqE0Dhzl7egE0HTM1FV2M5g0XHkUGyflINTWln0yqaKTWKwLltAFiQ9hszUfIHuh6ogtizb1pnW7LeiW70H3S8kFDdc0oQXyerKhJxBiQNUBV8xzYCeFcjF2kSkFYWcqMuO+gASND2NTMu5mhfbCxNzItEca8rsY227/vEfSXEvPeAVTwSKC0GJjrhRmpd+cVDX7sVAykI0FEWUE8WEPWUkyDguN2HnvYFSwhAU92aE75FPYYIyVvHQQI7O6sHkTgWjBnCaKvL0EudSIZ5qMnUeHi1KCLT/sQ4f1dk4Z9zMy2lZKSce26JwHGuBUhLI2yubYlSdpiaGCsVFXtMIf/FOp2mwMCinpaz/qVuZlHM6Mm3nRNXPDD+SwuVOCQS13sgO6cVJmWDxzcsSsi1DKEbwjO3sM9aKkL9nhCOmKE4D4IDbBxteRs9GwPS+4TPOKpT75XRGwmTqwMTKD74mTleJ+fLb1u/KSpB5+fwEFws28yPwom2BgZuFHc6r6kHc4po/GuJsVGVQg54g8h3kwg7/YDy9CBlIioYbdzsn3XLsXUgvzuiXTNkFuay02ZRrMNQlmIP2jjyLRg+fy+bOQKpzAs1/S7Uih7LtoS0c0kMeBonD8/+4BqWhz5Bmhlvv5sxBCNk84UkgSu8qmAj8X4rMrj9mq5BtTyvc4BePvtybwnWsaVWQWa1pLcwpZGfO4H0rO4uBPqU3VEVsyURiwaV5B1gGJd8a9rHhA5H1aL3oBgllHgtyCWUcod5FpV6Qs8WFX/HNEmPsu2HJYVUoJMIQwjN/+21fUd/85gmyd+iXJTjBW8uIJSPR4hXtkGp8BJ5SrGxLRKRzOmZ3Cg1p8EPdN0dMZoUdxArbxBwNS7BYPeP4u4y6gEpQTJTvxfLGDvecnXfjMb+dU4/dG5J8ZyhobXZWrM4S1y3cR63jBkodxJd2NU/HVJvToFF4z32d0Cp81wy2Tp7VnKb1qyjvrykSeuOP6XXmZkpCmZtzPKPMackMadqA5RtxwoseVLBYWL8aNvGTn1BywxXRfctYRL1xxvyvZU9FJeGYi067AUiIzGvmrKV6VR22BoDAHp/F10Ah9b6Ykz4gTTeNWTpQNst8NaRmjhglUHMf5gM8g9xvJdtJyazbKjDeyKOp7MXkM5D0cNPek6oO2+KAqj6EJSSlZ/U6sFbwfCifwO5ieHh/WZwetsIhO6mbbkKs2hUdV4QQ+B5rzq74zhsnwZVuUGeZl7G/iwdPToMqjtiS4s5FoXrGkGC8YWcPwvsxrrQB5RS4xoXelJUej5bMhoUAwoCqYw1Si8fWcMlbQxaeUpX4XpAXheSzipd+cRD6Bpn+we8WcAnYsK457BjlKQgIWDqc0/gVzngSh8pgtIVP0XPgu4fBFjCCZ4jxQFCxiUeJGQsNexXFHJBDNrRnpbIVS6KQVTrjyGnmVnAW2lX6XuJazMJSu8KM5MXCSZsXQv0SP69Fb7malM0TDefK0l6hcsATjLict5mVbkI/c9Lk5xD6eFWwsO7XUecfOoyhsfD0nnauqw7bq+8VBCV+iKTXZgfcWsBw5aBYs4VDIMLPSMzgcVR5D5yyY9dC36zYhiLB4wJVRdWRWU8du5UAF03r04DswEEemsRn9n/80JJuheUNGUKP1u/KSz1J5FAfsxtdzklQfH8Z3VHUEB4CxL3cDhaolVQzuqziO77FxW07IOpwYFby3AF/ORVv4/7GPZ9WN3zSp589CAATMupJsHB9y1Uf/lBD/TvVBfc/ezIvMq/Lb46pgCWQlHhDrdyHjhd1qIkrXbcyIhItY1Lo9lkxR4oO4P+lxKlh0JWslPIfPw7xiiXwyOukKCamiDd4aktK6f35E+S5i+hY77wplzbxmiUxoz0+6lN8F5phABE4JEn2uELj8thciGRv1DPCRWVfMn8F3FiX5e1N8SozTkVk8G75L2jSadwR+QLPvH15Mmn72H38ikyLjZl4mkPFhFEGlXfBV1O4FZIEI74CFgw3TqNm4MK9hXaEvq3avpYZ/uU+AF34XBQuxtMkOFLAbGgBbKO6HLJKTgvigzkyY1x3yUX3Q7/NIa8+fhVQw54jfgpjX8hP6UKVlY74LoHvV78yrr/8urka+3Aup5LuLMjk17gArrZQSr5b5KC3SQhaswZyWRL69pOr2WJKhY9zOiXk6OolJWfOGjEhvmB0S+3hWmVfQ9V63KasO/awDP0Mb5M3rlir5xpTQ6Vi0RaewxhH7al6x5DtPdjjyXNNnyKkLvQrBnCatTXrUJJrSfZfQpLn49xtUSTc8A5QS1u/SlLyPZ+ENmPckWAzdK+53xQsSzOlU844XvWd1u+G1qzzmZUwZ95GYzgkM0buNr+fU+vWYEjRuAzkqeVr7aPTPJAmudp8lSevMWEl2OGpD/ZIY9oM5R4h8yQ5goku68Xc3NCyjkD6LP0caFP0rNQdsAUqQ+NawIy/QCPqMCidcKRj8tvNC8G7ROVcaP02bs0Ci1y+pyLSrNjQsq5JuvGfCVSra8F35LtqSc0VpL8MEWVyXncJ+RpiFZM+cQQG4mvrFpkVpFyZp3OMSfVh3fJdsIRS2NC7L/luwiOeq7CQaBJSJGvczKCbOenliXFs5DYudRzFHumRk2pVGjnnNUoU9awXIy7zWCpBX5FpNwYoPu0KEaNie98gj2gzING7Smahbr9tjCTUitOzleJhX0EElMYN6TkpTKOWh4ZiTDB5EyHyvaEO6cOEEflfdbkvoVdEP54QbTn59ZNoVbXntPktSaCOzrnShWWwQK5noAwK18igORUXnPD8IL78Ln0t4zgtV4mEqmNHGbK2brjyGgwsnFomvT0sHu3Yfio7Kb4/D03I/g3DFjCPm5fITmvQzis9p8Bf70Ym+jMOScTsnHXPzUVrG9eY1S1m/fg1dc00fovE2Mq0hAlrjnOzAYbvoHDqMvgteom6iD4d7InRDyx4RifdAeF7LxLTOXymlqr4zJhhh8zK6201/cU7uFU7IiBneWDmvPvldkSo76fmCzEdp3IdzeN3E6nKCtO+nncq8jPwJ8xo6xKG0p1VP9KLz6btoi7yAJkJ6Exhmlfj6NOQl/QgAS/Tivmj83ohQVcpO4ntJduI13fpNA+4PLYswr+DzLO0CKYb6beZ5RKfwOVUcR7GklJIMGOI2Cz+aU+XtHhK6aXMWh9YhVwhwRU9nYIp+nFJbP+8VkAKNsnW70TRYtymrjNvQWkc/hIE8NopDX8N2HNKIjY0Pa+nDR3MqNoZDWt0eS2SMxm34s2r3WtJR5IHLbzuS6yNm1iEU5r6LOBR0//wIpn8fz8pBoOI4DvCxj2c9P4qeqpqXbQm1XH2F51ZlrVxHt77yGL534wYKVeMOilMS+jjJSvR6JKa7/1inzCuY1HINKj/hSIBbdNJDglNOR79G5IN5TKj091rahfuh7KQj3ePwnJ4mfDCvWpqQrRSdxN8vHMcaV7DkyHsOL+DzKliCbInoVr7+RA8+26KnM+onv/cr87It3raCRUwEqw/inrrxmyZV9HTGW9t68CwFM16aNn1CzIYZ+3K3Kj2D57rx9ZyEvbIBRZQ0M5cis65q/6JdxYdctaFuCUjlnV7ga0sjsn0CFu4ZN8J34AAAIABJREFUrqU1+y2ZTpd2eQZ/+qUCeY131VLUqiOehIgheqE0pt7soht3cuL9KzvlNUgkEV7LbXyPUyqU8iRYhR/NKb+DpkXhR3PKuJkXhLHvErrwxI0zeJMBdcaNvDSNKBsrPYOCw1gBBrjonCswk5JuPakZ9sz7kQ/mEYR3AEVvdFKnoeuwzIYdeWWsYF2PzKIA4SSRE0dOuAk+YZFj3MkJ7KB2L3JB2Ixj7g9hHYXjriSqF424gtLnFdTgEYI/Qmnt5+zyoAP0d5V24Xmq2w1ENMMDibQ2L3uhtAWLruxNdXssaVYlelwBWERm9c9/e0mZl1H0CnTkozlJnzcfZJT5MO152cY0MGVWQzM0Yth8kBE5abLDkdde+e1xNE4+mBeAAs8vJBAaN/KS35Xs0LCS42sekJd5rRUgr8jFAqRs/7IYXykbIjKSKbBFIx4Vi0bPkm7IPQqWHNn02DE2r1vC8WZHnoF2wRw2Ymq6GfRl3MqJwbm4H5tiwAIO07iRV+s2ZkSqQ2Mpg/MYYrd+fVqFF4DTZbeNMihq9tn1KDuJQ3Awg8WquN8LN2t8PafMBxn5rIIZj5TBzkvRiCvov9gYNqqq74wJErdgUXekKB3pcuRgaF6D5pvMe5oxuZHW7rVEj17a5aj/779MVTiB7l58CL+LJlpSaYybyNBgURMb1cSajCOeicpjthSQwYwj43tOaxiAF3x7STV+b0Q2P+O2lqPchxa/5tNRZbyRFXSxUgod2btZSRau221JHkh80PWCGHWHqmFHXopK5+9bPYnHu4vSkUv04kC4oW4JRbEOfKOmmd382Jg2g3fAYJzo9RCPkVlXqFcl3R6idcsP+4SqJl3tAS/UseqILXKydZtAVIlOaROsRu6yqxzMYRNetzEjBwSS4JjfULMfExD6Rv7h3/5Ewj1J8vnVv/4Z8Mg38qrlsyFJUSf9KvBkWRX34/6gLIdUr+qDtshUyk45UhwZt3MCXqD8pWjEFYO97yKkbJShbWhYVrO/2vFC+ndkGqhnmsGJiqVWm6GVsTHvc688ZksXvOoI/h6pX8GsIxOA8IIOqXt76YWinxcTiet35r1DkUa18jmID8J3VnEcz7t5zRJ5T9kpb7JXeQzvNZTGfWJe93JPmOtC4ALD9ZiFYtzIS0CgedWSnA+azDlh89uep4xJ1n7HfiGV2u+ieGSDpLxdT9l05gifVeNmXjwi/Fxjozg4JjtR4CqlVGRa0700yaloBBJGmTCcRSHofyslQZn0YvEgzcIm+uEcDvhteB807cfGXPWT3/uFOsSpCiVFTZuzAiWJjeLv+S7Z0n2OTroSChr5YB7giTEtHX1vQTrgLOAZ8MiJqXnNkgykgkU0cUrP4IBbPIB9pXEbuvINO4Afjw+58hwppTD9HkOhzq5202YUf6EUinTf45QqejojnsbafZbaWDkvE4GqI7baFBmTXAjuj5QiFfd73kZO2ut3oSlEj1XxgCtThmDGUWWfTCJr5skyiuaj+HxrDtgixaJHi42wRJ8rocCUhlGyXNGGe4++HfMK1mLKs3yPtcRwAe+f0xhevscphG/q6QxzsOjnS/RpIpeWQHJ6RYx+aBn3rHEP0xMawSOzXkFD/05oGRNV30Vv4sh7MTKLJuFq3yaJVJxaB7SSgl6PZCeacyyao1MIMiR23FgB2CCY9UIIjRWoCIyVvExVGLQYG9MTaU2OW1e9lgPyMq+1AuQVuViARPrTshgz/4JhW+H3FyDDemcRY/o3U9Jx5+GNvHIG2VGzHcijKxz5YF7V7rNUwSLCuIgybNieV6+VzkiQWKLHlckFNevlJ9Ct9bvoGJpXLOGFM52amR40XjN4MNHrjWNpaKvZb0mAYekZTejRCMzCj+akY0r9Pq/ydpga123KCkEqNgaTX+kZR/SllLSwY1bRBj15ok+jSW/kJbXXfJDB5j2qvQqdjtr3007BVtL4vRptSulRbAzyj/igRwzjZll2CodsBgoSgVt0zlXDv9wnpl8mS5OsQn0+JQoko7BD5X8rBT3xViTFU9pi3IMEa92mrKS1R2ZcMUeu2wTdt3ErJ7ppHhyrD+HwRSpW05acMODZQSNlLTznSqZI0Tn8jtZqgAt8b6aQTq4N3ZQmGHezggOlHKNw3ENUxs67AmCoPgh9MP0NBYuuHJDNa5jwGfeyMNCf1ib/VSQjhnYZN/Oq/Yt2hMo9WVYFS0gSr98FYhHlgVt+2IfXoQ8o2V9vQoGpO6LsGkdmvbwAvv7avZbIbniQMR/AN8UJRjCLg0PBojdNKToH8k9xP4rJYNaRSU/j6zlBXxKfbF5GgUGvE8MtzcvY6GsOgKrGIoNejaJzgDJwskoZJuED5lVLipvifm3kvQ550B9elEIxWbloxINMkB4XnXSloEl2onikRDM8j+IlNup63rMjNrIatF+j5BtTOKhds1Qwg3XLvKqN8jn8nsqjHl656rAt/h/jLu4JTq0aduTFD9GwIy8SIuN2Dt6rC/jsyk94nxXlbMUDnvcjYKGQig9h8vD8WUi1NAJqQIpYw3bcU8xriH086wWi6iyaXT8+4yG3r+L9EaMcH8ZaPvLlXlW/E/dgKO2oa/+wDh6FlbyQzoIZHGiPf3ECRd51S+hpJHAxn4WoaBrD63brbJgzjjQB2BgqnPCoZeZ1S1DgnCbTgM1gPWZiJHq9KVbgCQzdNEtviowBnKDzjliABJ4sywQgvOBlcQQzq+Sni5DrxYc9iR0lx5R4cioYfHsJ95qmMbIBEZn25Ee+xymZ9IcXPG9Z8jSkmswyCi94smaCYOhXJFiBJvfKY7Z4IehNSPQASkK5NCfANfstySEqO4Vnr+qILftnSbcjE2BelBXSq8PJOCcULIRLzmKCULvXUjWfjspUh5Md80EGcky9XpCcRaAM/WzVh2whiq0GpEgOiWur5taMEMAqj4GgVX7Ck5JGJz3cb3TSFbN/+H2ggVmYrdsIk3nRiCZG3s2K6oEFpQT1zuDepNex6oitwsNrEqyXea0VIK/IxQLkq5cWYP7WHgbjtqdhpeEy2eFRpWgYJ+Wq/IQjgXpEgRa8twBZlvZV8KBIXKN5GV3qr/2oWwxuzKmo35mXcWrpGXRSChY9H0lkGgcxBt3xQNKwI698b6aQ0G7jddEvsKFuSfCixi0gMyPTelx/F10aLv6x8+gCMjhOKaW++88RFZkFRtO8AtNg7LzHvy8ecEXeQLlPMIsCLjqJzhZ15jxMRid1gOAQDiB+Bxtw7ONZZdzOCfGDZvrYmCsHoFDaEWQxu2SkpLCzScyuecUSCZjftQV7u6FuSQ5S1QeRUN1avSCIVr8DuVfhuCuhY/wumGwffGdRGTdwCDIfZAAMuI0iovCjOQm1Y4BXos8LAOTUq+qwrdZtzCjjblY1bvU2TnZNW5pSKrTsSHFQcdwRoyJNrsF3QLdhOGQwi85oeEGn82bx940beRm1h1KehIAeGRp9S7vw3mikNB+lhXiT7NAG1SnIWiraINtofD0nSbukFRk38qr6ED7zyqM4XCc7HTX25W5VdgqhYw07gOkNvr0k6c7BnKa6ndVyFj01IC7ZvIx7heGPgSfLKF7HvRC5RJ+rOv76mEx1ApajPvinUviozuDeLFjUOMytMGHX74RJ2XcBgXXlJ/A+wnN4r+aDjBDgSBaLjeFnNH9/WLqkkWkPq8uOuNDoej0MKXNqCsfx/gLWH3tAOPEo7sfzuzrUk5Oo0jNYF0rPQFrB7j09IvTzEO1aclZ3iJe9jJviAdCtVt9rxI3TK8DDCM3JNftxoK/dZwnqlhPGyIyXUh2dciUrxbiRFzJdeMEVqRa705Rrlbdrv8Mqk3Xdbu232J5X0Q/nVDCLz8u8iucylMZ65ruA9bniuCNZQ/QNGCu434w7ObX98x5JmyYhqHAcNKqK4466/A/rZUqd6HPF7N6wI68K3sO+EXx7CQn1U14SNjOP6E1gkVvRBmlneTvkmZQvcuJScRz3fcGSDrDN4zuKP50Bup0FW9aTCBF+QbgGJY6RWe2L0WQ7pZQ0dXwXbdnHgjlHyFslZz1/YmTGlXDNyqOQirU0pSDtIRjhAPInghm9N8146HiSD+mDrN2LZ4XZFSwwGnagiOZeluh1JQuKPo5kpyNEKRZ5bC6QaMUGnTyfF2yhnJV0QwFAvwjXpGDWEa9d/c68PHMM5jVu5SSsNmA5Qh5ks4o5X8Gs57PklEp8lxpi47uIBg99hfQ9BXOYutKHSnR01XfGRErLz5RTRUJWis65Qt5cvz4NsMQqWWV82JUJcSjtSBFUOI7imohmNkEpEfZdstXmwDnx/qzGUJet5YC81GutAHlFLhYgvkXkSrzxjzWCRSztwsOY7HCkYxcfciXUh7jI2CgkM6+VzqjQsjYud3qTEU4s2GkgVre431XbP+8Bu1+TXRi+RF0oNeyhlCOTjviwK9IFohqpna48ZgutgkFeTDovnPAmBo3b0Ilk6jsRhA3bMX5ll7fkG1PyWfFgyulGxXEc1kJpLSUbdKUbyyLBfJRWsY9nVSjlSaso1wnPe9hfStr43mjALu7HRIBZBLX7YJ7z2zj8GveyghTkYl92Cq8tNuppi9mBJh2qeMALkeJ3EUrhz61fD+0xk9/bv2gXjTSzWliQxs7jYMGDNTu3FcehuW7ekPE6aRql+D//5cfEQYeMxQfhcQnkNSVHo2STndjsy9uBZ6apnEFUjVth+qzbDSkOzerVBzHCb9yWe0FSFxvVG81VSyZM0Q/nRKJCuUVkFgcFhmYVndMhY1q7nuxwZIOlp4GdXQZ0NewAdYcHCcoymrbAMFy/My8puyzo/Q42Wt+bKLYCT5aVsZJXtZ+OqugkNn+iIunFKDvpqFu/aZDMk/J2TyaU+Pq0FHCBHDbr0DIONUzyfqG72olN1nfRVq3VCyrRgwNMwXsLIqWKjSGdnj6DyqPAGYfnIXMxL+PPRye9VPDifm1m1fQk42ZeEq831C8p435GJJqhZdwPf3g17Mir8PsLKFhv5oXGV7CEQ2xplyOhgHwGRF+vpTRFT2fEgFty1pFnjV6z589CyngjKx4Z3+MUZFK6W191xJNuPX8WUqG0o7Z/3iPZONTSl55BhoBIixY1evVbE2J+jUy7MoVhJ5zBncEcurkstPwOvALGPcArfBdtkeRxzVEKHevnz0LKdwG+AObl0FdjXrdkqlXc7x2sqw6j8WA+TKvIB/Oq7JSjWj8bRI7Hg4xKnnYES+y7aIunKj6E9ZkHTd9jTMa5JofnXAmdjU6igH/+LCQIWU4vOBEqb3ckrNVYQeFhrOSV30EK/fNnIdxX457kreC9BTS79AHfuJEXn0N82JV9qKVx2ZuAaIgJqUncf6oP2hKQSc9KzQFb9i6GbMbGPPQ3802SHWiwVBzX+Si3c+L/ohyytGvVoXwK//sf//4Vlf31Jklwj4168k7KmSiVJSWK6Ppg1gMFkGBJaXNA+y35rLOAMVa8rClORLhPMkyTFxsFgTzkUaEUfl7o3UUV/XAOXsxRrLMbGpYFoEAVhXEXSgHmRrF4IrpaCJC6KcUA4+YNGbXrx2dU47acvHfjFmALlUdtKXTqv3teJLlUIxj3M8p8kMGeqYEkZSchH6baIXYe30cw4wihi164yAfzkKt+PIuw2/PevvrmbytVfFj7oobWJiAv81orQF6RiwVIeBjd3fUtaensRj9E95rd11AaOtWKNnQvQu8uQk/eD/1u5VGYZ2m4ZSeMZA52s5o2Z6UbvOvHZ9T//o8/lW6Uec0SalUwi0NCRRsOCclORyg21KuG59HBKT/hBfEVTmhGuiZzlHZ5CFzjfkY5f98qAW/mdQudd23q9rtYBCvacDgvPeN1Y2liq2jz6B7JDhQvLHo4+fC72KiN2znZsP1vpVTpGUdt/bxXRWbwWbNz43ucQkia7gSGlr3R8bpNWZl4mNctkQME8ihw/K6NELGLtuREBPL4zHyPU6pgyTuMSZbEG1lVPICD8v/8l1+C5iIz+AxJlQlmtVTjjA6E0p392n3QYjOtm7KZls+GVMlZdAV5cPLb6Gr7HXQKSXKhT4SHRwbMNb6eE+kXg6/opaHPwLiZl8+g7xcHpRvduDWHIlZ7Qug5qTqMQ1v3z4+o2r2WTO8oMShvd8RQn+xwxNTKtFwWAJw41e6DfK7+u+dV1WEQt2giJb0lPoR7lhI484olGzwzc2r34lDou2hLGndsFF3F7p8fUQ078nLwZegh8z6M+xm15Yd9chBlU6C83REfD/Xz5nVLRT+cE7KWkK30Z8zch8pjKFKKzuk8j1vomPJgzd/B7zY+DM8LAwKL+70EeRqujbsIp/M/WVZ1uy3JnGCqMfXwoWXcR8X9f1yAbKyYU8lO3IPmNUu1f9EuYIzIB/Ni5GfGDw3F7JhWH0SjZPU9kehzVc2noyD2rUpKTvRqP4om5FAyYz5Mq7JT+K6aWzNCyTNWQECr3YtEdaJ/C94DRpnvqegc7iHxFG3MqKrvjGGCNQ+JEuEDnNyZ1yy5twI5R9ZhHuKKB/BdKqXEhFuzHxLMslOO2lC3pErPQHJiXrdU2SeTqm43Us6rDmsvz52cFLcVx/GzV3v2opNoNFUfBIGIqFhmRMTGPG9CKO0FxxEHvm5TVg7UJd34fZQ4+Z/AtF520iPsBXJo7JC8RhJXZBoNl7o9mBCz875+PQiOwSz+Xu0+7AGRWS/QNtHrUbBiY/pgqhs1pV0an6wbHyQBlpzVn8F1NNBIPKzda6nmDRnlt70mEglwoWVPIUBfTXTSI71tqINfLDrlyZYLFl31WumMig/r99vtSYgYAFh0zps+m1csoYGVfGNKwCb8PcbtnDIfppEBNOhN4iqP2SK9DC3DvF+/C+S+wgmsA43bvODdspP43GoO6HT1e1lp2q1uMjS+nvMUAL1edlXxAP63YQemDOaDjIpM4/vgPh5axu+uOqKBHg/TaGY0pZTvAtaipi3wHtbtAc649IzGnOvsFP79onOuhLpScl3ejn0wMqNDj+/iPUSmsYax8IkPA0LC/CrjbhYFksbCE9fsu4Bnxre4ZkJ/mddaAfKKXKuT0KNTrvqnf/uKWt+SFkxtRRtyAlqrF1T1IVttaFgW8k3xgEdeokwkPqizAB6lVc0BWzIqSs/g4FN5DJtXeAEdEpojw3OuJMYmT3sbbPUhHCJ8lzCBadoCpCyNY9SGEncYH3KFu1/cj85v2UlsDuY164WxMKVXhRPYtMtPOJJRYtxB+N1qKojf9lC4HNH6LtrSLUv04UBffQgYzVAKB++AhcNW/U4ggtltYv6H3wEtq2lzVjVuywnFhZIMdmyZqsvJlO+SLV2o8m9NgEzk2PKZEdFYfQh/rnavJQeF2HlXRtScbtXuswQHy++Xi7P5EInJxk1IN5jMXdqFDbykG4Va0dMZCTNjlkh8CN6RijZNQ9K0s8gsOPbBLBLEuUmJWVbnuYTncIiJfghSE42AlMMEc1oGk0PBUDTiiscoQJLLiNYkD3v+BaJJafyPD+O7SXbgO6ZkpmlLToyVza3IuODhmRr3uj2WGvtyt6o+iAMa9dm+i7gXyk6i6GMBQiNv8jT+DGUgkVlXpCaBHA7Ext2sELleS86ioBlxxYhcvysPXPN1BJaVf2tC/fJfvwpp1YOMdPESfbjPK789DtiDJtX5HSQiB99ekkI0OulKorX5KA3D+1spoekUnXOlW8w058qjkMSx0C0a0Zklj1PynVF+yckqzdLs3DNg9A+vps1Z3Cf6fjbu4Dtpbs1IKnP9rrwcgpKdOiizNeNNXSa9zI7E16eRHaTvj+RpR5Lby07idwQzkOA1bMeU88hfnpSDemzMFcgEE+kbt4FA9PxZSBUP4GcH314SKRWbIYQxNGzPS9Bc7V5LJEvmw7Rq/v4wgAO64OIBs3lDRtC75hVLgkaVUvDrPEyrQN6Rhk50Ek0XSpTMa5b62o+6RS5K87uxksfPvefR10gpjE6iWWLcz4gsqbkV2TvBt5ckUZvZUIG880K+QiitDesXPWlU1WFI/ogfD+SxHoaWcQiuPmiL9yV52lEjX+6V8Dw+wwELf/fWbxoEo0v9f/EAmjdlpzAtDmY9ClbwnUUVyGla4zCeCUoSV/svOKFNdjoSAEtIC6cjfAbL23UBtoxDtXnVEkN74+s5j854ygvxDeqCknJCTl+lYaE9Z+XtXq5TeMEVM3h8EP/MYo+eydgo7q/V358EPeqJWfkJT9L1/FlISGjGLa8AYTHUuBUS3PD7C5JXEx/S05pbOdnTjDeyqvn7w/jvGjnO74Lvs/xbE/Du9OHZKRrxsqyCGY849u3fFaqqw5DJVh32TOkNO/JCdCw9g/Ux/P4Cgop1GDG9WsYKGqD0ipnXLJm8Rydx7xIcwvfEou/N31aqut2WavzeiDKvQNpYddgWVcdXr8+vFSAv8VorQF6RiwVIydGUMP9DKUcMeuzU1u+EN4Mj/PigZ4zmAx3IYcHu/vkRIGqn8WCH318Q6oZ5xRLJg/+tlKrdZ0mIG7XT1PVy/ErtMbGsTVtyKv50RhaDiuOOhM3R+MaUVQbckUtOzXjBewtC5Sg6B2lBzQFbuuhVh21Jk+XVsCMvr5WmUWadBPThN9nhSKBX1XfGVMByZHJCzXX5CSy2LU0p1bQlJ4cL6lITfTqN+EFGBfKO0HgKJ1xBPfKgFcx5unSmsdPAH8hh8w0v4DuS8XzeUa8lZyEx03IuFgzEMtJoSOpZfNgVsgkpIfw8AjlgcpVSyP7YbUkSt9+1RRqX6HOF7hWdwsGVvh7zuiWEkj0/6cLvnXYF/UqJSvh9+IiSnY4cGsUX0ONKB5OUFMpZGDJFrGlkBl6extehO48Pu6rpL84JLatwHEWv73FK+R3IjPza5Fo4ge+xZj8Kb04Ewwv4jJKncT+aVy31Wsm0Cs+jkGtpgplVKaX+3//8qgSMsfAmcphhf8+fhQQEwHwVAiDK23FgIt65og3vv+jpDLTj2otgXsfrSPTB22Bes9TxL04IxSY8D6N47DwK0fCCDgg7ZEtIIOVexk1837zfSdRh6BqN4EQZRz+cwzRsP57xyLTnifjaj7qVcT8j3WoSfqqOoOv5h5fvgteBp4yKeFNKRGnwJW47PqwPY7oALBpxJWeIE6TwPL7LymM2UM+6m0//E83v5jVLJoz0awVzkFUl+nQ2R68rZCxSAHnQLzuJw+3GijmVPO15h8xrlrzG2CigEARaxEYxiak8ZouPym/jM686guLQeAMSTKUQlMqGAA/e5SccCdskJjmQwxpnXrWU+TCtgu/gtTOwNTKLw7X5KC3yQcrxEr06y+IkmkyJPtyXBDqEUo40UCibY6HN7Jp1m+BPqT5ki1SIwYqciPB1Fp2D1LJgSWOFNUK85CyKAuNeVv33f/6ZEJnoCwnk8b6btoBkuP3zHi8JXRO5eIiOTrke3ETvBXxPtftQBNXsx2GaRc7GqgVZDymvNO5lZara3IpGCqc3xgpkZfTYNG3JqXUb4YMJWB6Zyrxsiyei5gAmm5QB8r5g6je9U+bDNHyL2h9oXrFk36OM0HfBfqHBQnN44+u5F/woqxHYbNhEZnH4pneIa3HtPkuKk6ojtng6eR+w8IsP4nPmRKt4wMvYSZ721AuUiK5uBrTWorBN9LqCFmdGVtUR7NF8FuJDmrDWh8ZX1RHbywy6h2YnEfGbiial+RMbdcXLSjx0ZAZrGclvpWe0/CyNYvDPc2sekJd5rRUgr8jFAiRxHPIg3yUsChXHIb0x7uRUyTemJIyJlKryE9qMtuxIp5Vj40SPl+6c6MGmyu4sTb6VR9GlD7+/oGLntXHwHLp1kWlXtNjVh7Dw8QBE+cnqblnlUXR+yNEnuSc26sphlX8m2akNd7OrOqXvLaiG7Xkx/9Gkyo4pL+pOy046QgmiGS4yjcNf5TFbjX25GxOZ9xYgYbqFTp/xRlYoJ+bDNEyCb+Jzb/zeiBzyOfotPYMNb2PlvAq/v6BqDqDLyiTsZCe+I+IKC8fRPaeZkVji5GlHNmfzQUamB9RL87/RpEt9fGTay0+hlIFSqEBO50gMuZJ0r5RSxv2M5MeYD9NiXC9YcoS2UnHckTwABnpRXkV9f+2no1Ig0cRIOhiJWIG8ziJZ0Ghkfe9O/+prKpB31D/921fkwFt0Du9hQ8Oy5NnU74QZ3biZlymd7yIgAcyEMK+COsYOMu8fYyXvve4RLbF7ApS1sOK1nKtoxGPT0zBMT1PzhowU0eE5Vw5kkVl8fiXdWqbV5sAcrf0HTNgmDat2HyRWxQMwbhoreQmELBqB9yn07qIKLeMQ0/HXx5RxLytd30De68zHh+DzYAe1og3PD7ucwYwj9wU/R27inHhGPpiH9v6zISB6R7xuO7NYip7OKPMRDk/BDD6L2Kj7AgqUV6LP81URP7oacVp5zBbp4pG/PClNDmJKI7MotHjo87+FnIJDP+uADHLKS8cOpdBFpb6eKM/avcBm1+3BAcjvgsLDyRKToKOTOOjU7NfZKccg5SxYcqTAiA/p/AXtL2LzxbiDwoDJ08X9rhh22TgpOof/X/VBW9YFpZQ68NPT4ktI9EFCy048pYv0TiQ7HfV3//qnqv2Ldgk+rT6E75jmfXaw/Q6kO0wcZ+Bm+QnvWWNXOrTsZYAYt3LSZV+3KSu+PBbx0UnvYEqcMGVf5iNMXJs2Z7Ef3M2q+l15PGMrmL5yysaprd/Bz2YoYGwMa1PwnUWVPO1NQMxr8Iw1bclJE2rdxozglMMLuFdDy45kLHFqS/BHIKfpgNO4L4hkrz5kC02N4bycblIWS98kzfUVbR5ljUWv7xK+W0rs+P9v3pBBYa0nyQWLnnQwedoRgIn/yTJCecdRdEdmte9GZ9gQcmCs5LE2pLzJDC/zMgqx+u+ex3d3QZMCdYhloseV6QypkAFNjqPstaI/kEnrAAAgAElEQVTNkbBGmrmZmdO0Bc+OcQNrVXjOFZx3fAhFFnH5XC/rdluq4D1N8FvJSyMl8sE8wm5HPfkXFQksrpldEsihOVV20puAFw/gnEJiXaIHTYHyE440U5lTU3rGUV+9tjYBeZnXWgHyilxSgLSnpNPc0pSSvAr/k2V14KenJUSoaASLbqIXY9+CRWxsydPo2BT3Y8EnUo9mO/pAkqc9fX3NfqAWzcvoMrJ7VtrliNzCuA0pFHX4wQy6pMb9jGppxkSlfhfCoWr2WzKmZbew7CTG94lebVzelpNFid29dRszYgynH4B+iNUFSDCLRdW4kZdgI/OKpYyVvGrcii5qz98cUqFldP9aPhuSELOAhUM3Cy3qUM2rlkinOCpv3JZTtZ+OysGeG6BxL4vu6SQOfskORzCTxIcylK/xeyOS3huw8DnEhz3Zm//Jsujkaw7YgqctP+EIUrWlKSUd/uqDtmCGWfxVtKEALJzA61YKJnTjdk5kcLFRVzY2pkmH5zAhosyHwVY1B3CgpHGQRnRmJ0QnPelYa/WCqj4I43X86Yx6LTkrm/T69WkJJGTYW2v1gvgVopOe0dN3AQeZ+u+eV8ZKXrq11NAbK3nx1ZjXLEE9FyzidTLEkB6Z6CSM1UT70k/DNOrwgiufU3NrRtLimfeybmMG3qt2D1hAc33AwgGupTmFf34zhcmXNqzHB7FxUs7E4EFKCxnyWX0Q0zV2Qrd/3iPJ5EUjOPQxG4QdXfO6JWGPkVnQZih5rD4Enw+11+Z1Sw6HzKlJ9Liq9bNBuVfjw1qTfUcX5/q+pDTjDy+uB5yuhFLaq5BGMU/TcTDjyDrAjBAWYaTz0HNS3q7zQjS9KTyvn8dOHLSrD9mq6+dHpSkRmdF69wEULjRz+y6gEGEnuHjAlfyJdZuywJ5et8SkS00+SUolZz0pqLGSF6JgyVlHTLxlJ71MlZEv94qR2XyYVuZlFCCRae/ZCc+jy1x2EmsUG0eUbJJO17Q5K5OjUBr/XrCIn1uw5AgZsGFHHjQr5g3pdPL4MAqemv2Yghl30QSieTo2irWGe0d8GIdFymtq92G9iMygYKz89jgksPpQSkpUMIP9JZR2pIDxXcKaVHUEk4KFv92GLvfdrDIfIKvo+bOQatqcldwTpdQL8lauj01b0MgKPFlWNQe8RlsohUNo4zYUt+Un0BRio4u5JczcEWRwJw75pV34DEmuo2+RwAXfReQLcQoczGIvSJ52Xmg2cQ8xL+NZWy1v9j9Zlj2V61ko7UggJCf5heM41JvX8XqN2zkBE/gdWyaCvCgxjcxCcseg02AG3z+9EqGUN5kJ5DQpTTeHqg4jAJQ0tOgUnvvQMj4LStx4j1e0ObIWcQouU+eVvExUqo7YkidDgz79S2y+/f/sfXd0VOeZvpKs4028Xp9NNhsXPF0zKqNR7wUkqk3vRQjRBBISkkCghoTazGjavaYaAwbcCLgAseMadzYGJ3EhxsEOseO2Drs5SWxvchI7Wfz+/njv815kjO3fri1s8T3n6DgRM6OZb+79vrc87/OApjp8NFMH0bFJXWGs++h+kenHvQSX+dE5PeJrYtcMafZes0voXaJmQM4nVAIyRIAExNEREKOftHvbaUz6em7P93N1zNNpGALdzAEShnx9dVwps27ig8q6hVvWcLAtfngN66k3GuZ9Bie++Fqe5YAbMirw3lWGw7TBsfbV6VJ1yFzEg+9QzUDFDLzzhHYOfuBGnVrDh8DYJ+rF2NC3kg+6kmvCYkDm7tKlyn3Nkyu5ahThwAkKM0R8wENmF07frgAf2tioLbtZ5QsbLmhV+TN5jUCh8q00pXOh9ILDFRX29GVMsQG/OG8Wu8eC5gGHYihCedYb6274NtQ+O1coKZadYeEFp1ex0hVUUSy72UwwaS0fnKk1mgz3pVfxd4LuhOXGsPhz+FbqYvqWM88Mgpy397KJpHGAQvEncyEnhWnVmqgPZVfwQVI0KSKSrAntHHgnr+EgOGmt6egMVTUEKdbro9Kud0Q54C4rCVDJI02U82ALZSwxKE2GpDSoToVTeFA/q1KTOSR8FlAFIHqQXWG4JO8N0MiCPqYVGsOhGGL1dBqDnSPZOX5kYR9Z9hiHs5FkjUlfT9Zbg0TE80S2jUwRgGR06gqNnnrNzh2qfk0Ub0quYZf6k29eTraNpnSm/QdcKMDh6AxrkrB6V5lKO2nLzYF6+EcMHxsSRTFUAXHY5s7lpDS1RpMhZZELncjmX97VulAYUDEENTGn3KzMpzRwkF4wLSrdCusW5mKD+w6qC3jqvns6ztqnQOMCjbJgelQU75LXcBCW3MT/nl0RE8EADMWmV7GABgL3jxqsuYKGJGwP73/OkCZJmGVnWNSXPOsNmp1Bf0lp0AfMY0HWG8IJUO5xdxmD6YZjNdyriyZxNd9hcNWHj+4XNSZUq5GcJd/dSSn1fO2WlgVlkBv3HmhcBdM4AYNHTfDFa0QpCrz4xFZdTEuT1vKMFpyu4StkvT4qkrtwsUcSXDwhLBX1MxWhIDUOTr9vJVNvLdsiIluObmTBNA4IbRu5KJNWzUErZgtttwXYrHQiS6s7Q5pQH9GxBIXRtjcgRrDwVzl9yiWdlsyFZgcEnXyYuias00VGd2Rhn+y3ia2GGe2tQVGMQmfUt9LcU5A0J6zj69i2kZMr0HrGpK8Xn6f4XkNG16jUQ4oZxSTbBlb8iu/VpWuMsxA+INZbgmS9JUg55dyNg8y0XY8J/Q0y2M79fUIptWtcjElu0iW5RVJYMo4TCnRoiYiLXFUDxQncPaZEcMI6w+vJSDrsOn/ugmlRmeuDl5Gngz8bPDUcUZNqlV3BiWRKPXdq06rNedK05bwfo9iZM4/PTMhGwyQ3p5z3RetmNkbNWGzOTKYv1aR7gZnRpLW8NiNG8gxZ2nLN9K9ab5gJL+TOUuZCTtwhk+/ya+RsUypY5xMqARkiQAKSvJzpHqVlQWn5238QkMAMFUXbdXzgOSKayB6i4u0MaWI4ZNc5CPDV6TI4l9Sii6cF5BndPXwQtBybxpukUYHKXGh6V2QsMSgLC8xKdNFEVqVx95ibVP4MTpRg5OXu0mWjSmnQpZpo2xswlYAOdAt1DEPXnk5D+/ymfhqV2yNrhUMU1RUMOmMWJH9GVAZtrbcEKXMhJzR2g6pkuTEsARLUakDTAIc+tYY3Ozg7I9DNnRMT2lZ8rym/C1UeDNHbNW73F48Pi7Gg9dagSFOm/midvMbpUy6htNhjmrS0S8uCvJlfH5U5Gu8qDl4KpkfFCXf42BC7kxvdHCIS1aeykoDMdFg3cTcMHhLoCmQu4usquyImgRn06L2rOTjInxEVpZisSr6G0pbzf23XxSRoypkXkwHZxDZOJvEdWbZHhHYCaontOj6YrnlyJVlu5DkcGJqBMpM9/wwPi7VG8La/T2Z5ML+S2KZTzTPlZNnBAgKZC3n9MThq2RkWZThnWJN18qzn2YHMRfwYUN0g8wmDNigheVfxAWvZFaKcB1vYkNCQuvWtZHpOwfSoyJVmLdDEQdh2neknALWu1BVcFcx/qFmGMUFNcPabHRhX0BjAH9lPo/J7xaMF35dtb4DyZvN9A18LXx2/V99KDjzweaFGBuNLdxcnzB0vTKbUGv5eU1ecPQOSUx4TgYm0e9vFvAxdMnTVvI1mYm/bGxBJcevN/eIrEN/HSWHqCqaBpS9lBa3ENg5qS8uCVDIuRLOPVEmSWjwhLB1PuDqjUJBawwFr/kxWKEKnLG9WVCg9UJ+DpC+UktKqWcUrp5wDt3te9VLyGg5cN71USsUTwuJ7BI+knAdbyL7Pz/unsT8QsWpRYpvRcViqyfwZ5o08HbrMG9huY0PR9CqN2n4xVaRbIdmbsViT5B60MXjGoPNRPJ6lzJ1ho6CzOSod7PhePhtSVxjXlTE7UDCdKXugjsJbYWxSG1lv7mfq0C4WKfB0mAIl6VWmnCoUsFwBbcCcIirZKGwUTo0IZQj7HRHPqWUu4s44/HHgz2K9npPj+D4Ogh0Rvv9h2IpZmty5MTGphPksaMl2LUZLf15BqSu4WIRuaEI7n5Fj0tdLhwTzVZirwZxF8YSwFF/QqZJZw6WazGZBwjil3lBcNMxq0bVLr+KkomB6VGhaEBOZ+pNqHtI2qIAF0zh5kvNuT0gSpIwl/D2WjAuJj8bpUy4WoJjBZy08QhxRTYpZOeUx8RKB6aTIwxuvCUWt4vFhUSJMq+YiCaT+Qakuvpbvw7IRAfJ06OJJVTQxInLrkLlOWsv7I+bjSh5pYsEP4/stmhiRwpj1lqAIt/hWstgDOugoVAwf3S/eI0nLVQJyPqESkCECUcHS+sgZ4k0NQ4me9bq0lBPameqDDcuucZVOKBb3dIgqSf4MbvGmNJhVWASF0O2GMohdj8mG6m3kQ7xgelQccO0xg2ZktPxBRfKu4g0meY1RQTWkgiGXiqAxaa0ug7LYfGAYhUpmfC9X2C03RESlB5W1smK/rJX1elbc8K3kx2Te38ZVfWNI0H1XDx+ge0LigAu1pJxyrrqNTWilnHkxkTkVeUpjiNm2wfTbELnKOYZE8c0sq+gM8WMLpvEBCOlfzARAkx5cd7sWE4qTp8M4xKo0oYcVTIsKLSahnQPgkUV+MQ8bMYqrspCJtW7lqhCGJL2N5uEOaUvr9ZxkZCzha8q+z8/JppFkooqYXcGVwuKH15DttoAcxmnVmhwgcPt17u8TJ/KEdl1mEzBsmNJgHFbGoY+BRtAJkchZdocof2bUNEW8i4dZ82Zz0CIH5VquwiY38dp4G/lAL5jG0p++Ou5OOEOmY29OeUzc3mHI56vVxeCv+FpWmel4YTIVTeRBaOutXM1MWGckl4ZJZkK7OV+C2ZL0ZZp87wgqE9bpIv9q2REWvrwjyoE1DnF0OFAV9NVxtwpJu2U702xcfv57m14qpfg+TSqKqALCuHLhTxdykgQX8hg/F3MSSKLzZkWlo4D3C0NFeAFAeQp87Y/CrpkdOfC9k5t0mQWy3RYYoISXXRGjxT+rFMqlZz1/zxAoQOXa3cVrXjSJaUTWLVyVd0TMwgXoby6/EaRvZnqip4ODM8wqLf15BeXPjNLYJ+ppZJGf8mdGJfFPX2aaAcIlHJQU6yYWdCgtC1JWJa9n/J09MuyLeyq7IkalZXytlJYFZVYLwgbe1Rw4eRv5usybzRQku8ZdPJi8pVVr4sgO1ajMhUzjS63hz40OSUo9vz84lJ+ZZHhXcdDobTS6KDE+G2YfqaI7fp1BqSsMClC5ISAQ00RtLWMx35OJh7pEJt11Ry8n+kanVRKPJbzfjc7qYtGN23sleULQ6Ihyxd2+j83soKJXWhYUN3nsUaMfb2A57UNdQsHBdexdzYE8igDws8idExOlKAyWZy7kpDyxVZd9y3JDhEoeaWJj1JBBh+vSRZkQNEzQrFDgyClnCiySjIwl5tpAYhv+UhgIRwILaWwUDj3rdTlXcG3D9yi9iucAYRSL5C2hXaexHjb9A0aM7KfMRZp0i9KXmr5XBdOMDoVBs4Yses6DLVIUGVnkl3sRc2BFkyJiYOju4SJX3mzemyA9D8GKlHpdZlmSWvhac/mZBQHBGSQfZ+6NCYZsdEo9/83iCUyPdO7vE8PU1Bq+BxwR/g7QKcX8qu26mBSNMJNivZWvpYJpUSop6lQJyHmESkCGCJCAZM7wS0XJEdVk00ISkrxGp2ueXElZC4w5iF0h0TMHfcquxURPHVxjmLWl1jBVxBHmzQfuwJC1hcsw/h4C4qQWXZRHbLcFeOjTMEcqnMqVbVRfMcSd3MSdjcQ2DlDcXSaH1RXUZPA9b1aUiiZFKPuBVhqd1UWP/sZNxRPCTJXoNdQ8zlDkwUCgd5UuDuvDR/dLoGrZHqHCKZzECBd1Pb9/kd40XLShZIX1cffwe4X6V1YlB0o55Vx9s2yPyJwIDhcYnbm7+fEZS/iz9RyfQMlrOJnLmxWVKnDu3JgM5rp7dFHNyVjM1SAM3gqP2M8UOXCe4RMBWlLxtWE5BCDDG9/HByW6FSn1/D4cBu0jdQXTv2qfnUuWXSEWD7iBK6zxvUbldZMRxE+JcAfFmJMBHbD42rAETgt+uojyZnNwCs41KBdYHxzMSCot27ny5dzfJ981ZCbhJpy+VJNEKb6PK4gw24I/TMk1HMSBujD+cB0noyt4nYonhMmyIyyzFajoEpHwxFGxw2dyBTlItV4flQPZtiEmMq4YaoWaE4zS0GHIncMHp8zMGB4gSc0GXXJ6VAy/0qo1uuVk7gA+NYKR7Pl8reXPYGUgz3rDbdmoWnrWG2IUCzXh/Se26qJOlrSWk1IMjObP5OFRy039IvDg7ubHQInNfVcPdzE7zp4ByZvNXdf0Kk3oRTD/8zbqIidaOCUiA8RQuMMegyA5b3ZMKvoInhIMjf+MJRqNfrzBnHkz1LksN0REAc5Xx3uU/QcByliiibpYQjsHWMNHs5pW8bU8H+Xy87B2wfQopd3bTslNHDSBugb6SXwfX+PTn1rOxZb72skR5e5LwfSozCDMPLKMEg52CX0mvYqvqbGeFi4UGclF4ZSIeF5Acjqlnq8RmEt6DnRT3kPNYjbo7jLpODBDzVisiWEihsiRCPrqjK5WtSZGhPC3SFvOHZiEdXw9Wq+PknN/nxQfMBuU1KLLMDjmR+Dv5AryfbvhxEiZfbNuitErb17O78OYIUS309lvzkHAzBb3BBIQKIo5wvxfqMgh8cI15QpqUv1Hwgs/GUhtW7Zx9wQFB8tOvt8t27ibbLsuZhrYGqalUBXLWGLSM6GChUHvtGpTxALy6Jg1y5vNxQrxGDG6PDgrfbW6/D5zIRf9CqfwdesMGbLs05mSZN1sqg/CfwTIWMKFCHTkrJujIqEPPypH2CgsHOjm6yykiUQyWA+JrbrI1HtX8+cYPpb3fhgkoiteOIVl3kF9wmeBeEJOOftLgabn7tJZpAU+Vh2mCh86r6CggX7rvL2XCn+8VrojSNgtu0IyY2rbyIVSPGfEqH4aPjZElm18lifWqA7I+YRKQIYIkIAkVQflwBmV30uWbRGh3oDDPHw0D/ZZdodk83SETZ1vVHXgM5C+lDm1adW8uYOjjAG1spKADKGVjAuZUqJruNqBjSdpren5AJfwokmclIBDj00tf2ZUgmio5WB+xLqFD6/cOabcn+26mOizQ4kJ0oOeTg6cALhjwwE6dw7TFZz9mvCaQeVZc2wGt4GN7pF1c5Sct/fKIYcOAiQ5oYqDJMN6fVRcxRNbOWBJqeegreQapuvYtZjIjaJKadsbEPUjUImQDGE4OGOJJs7goFNAVjmnnANq72o+rGwbY1JtwveYttyozN7XLt8PvBvcPbqooIBj7gqa3x3mfCzbeLgbeu6W7RGuMBlyw6krNPGFyJ4fk+ARPPbM+9uoaBIf8t5VugyHIxDCkDpa7L6VfH1griRvVlQ6T6dPuci2kZPYnHJW/IEAgaeTHz/+cJ34AiQ183cOD4D7Xk02KV8GxSZ7PvscQL0poZ2/DwyhFz+8hjIXsVyny68J9Qfyj746fQDdzOXntYK8b1ILK+FIh/DGMFm2cVCbdm+7eIVYr49KtdiykyWHQ78cywFemGlKOfP4ULfe3C8GmqAVQRs/uYmTEZdfE239lHqD0vNAKwd+G3i9n3rNLkE99ghfHVcQISSAyv7w0f3iLg1RAPhanAkkgphtgXcEPE6KJkVkhm1kQZ/MnSBx9azn7x+DpfDzgIqYM2SqlWHYHYEhhpZBO8N34wrw95dWrUm1NKXeqFa3mbNP2EuSm7gai+JJ8YSwGP1Z9oQoZx7f65irwdpDrQlKUblzuJvhuqNXDAuJzKFh0PdQ6MA1UjSRJX3Tq8wOjPVWprFi3iit2pwpyp7P+wvUAvHdp1eZM3kF06L04htXSjDnCpgzVCkNugTylt0hCZpdAU3cxi27Q9KVOzO5AcUXylkQI0k42EXxffwa+Q8183mEIpRhJglqlGU7dzOhNoUEBBV1yPxC8hadBST1Ce08jyify3j91c/PlOsH8w4YzoevRcE03msTW41ilVFsSq3hvQivj7kOdGA8Hab6YP7MqDzW5efgvnBqRJTTUFzInWN0Do17PLmJEwaoU6GjnNhmFs/yZnPHJW25JgqSZSMCIiaCey6pma+3zIVcqHLs83MSZnR2Qas8fcolZolIShPazZkYMAAyF2pi4AtVRigAgtqcP4Mp1jABxLWUWsOdLkjuZi5iKlb6Uk26cxACSWjXZf7EEeZrFdTr3LkxMbhEMurp4LXC2mRX8GdOX6ZRWbFf9uXho/tp5pFlZA0qGd7zCZWADBF81IgQA2K2jTE2h6vTRXozoZ2dgxFku7sNysh2luEcWdgnlR1op6N9i0HmtOWauGHnzuWbHO7onvUGV/T2XsqfwZxa20Z+TP5MY4i1h/+up5MDlpFFfpH1zZ/BkpNwY3Z368KJtewIk/0HAfaBaOTqZPpS5q/6ao1ExaAVwGCv5BquSgNpyw2vB4NKllJvttZdAd7gQZWAmSGGNC03hinvoWby3t1JWQv471i3RiWgcPcwfSJrgSbUivyZUen4uHuYggXVmvQq/nyistRoUj1QLfPVmoZhqSs0EQfIncMbMAZfESCBx4thbah5lZYGZaASw+COsBn8gY5ExBKXMGaDAgv8Y1JrOBh0BTWR/IWJVs48bouD1jKysE+MyCzbmE6EoCSnnKvPSWt1mVPIruCKlWOfXwY343t5nsW2gWlZKfXmgHB2RUySPVeQr8nCKTzUDh8OcJmDL15DhVMitPdkNv3+P64kV9AcnLReH5XZB99KY/bBmJ0pmB6VCrBlV2iAGVpiK383SWs5kZx7dCnLMm/goC/nwRZy93DQOLLIL9cSZD8dUXP+yLrFUDZq5c9n3RKV4WXMSKFLiPvHt1IXuVfrFk503T1mlRG0EgxrJzUbVMZNHOh5DnSz1KhBqYI7NqRx4acA6ogzZFJcUKV3hk2naNtGnhuDtPdHEX9nDyeq2yJSCPDVcjUTw6YuvyYyno6IJlRQXx1TOFEAyFjMewS+k6RmXTjhGUtMHw2HQefB/AUShNOnXFzND/O+VfbYKjYnXGtK/sJzANLToImcGWSiMpzUwntKWUmA4u/sEaUumNFlLuLnO/sNlSiD657SoMt8CBFJISBhHVMavas4ScV8FRQC7XpM6IfZFXx/uruMrl+MFeHiew1fhZv6pet5pqFl0USWoUZCBrqhZU+IE58D3WTdzAaLuXNilHFfO3eKje85pV6nqT+plmDWu5rPCfgBpVVz5wcCJdYtUaGdwTsipV4X76XEVh6kB02qcEpE5hHc3bwPSAJizOJ5OrlzndTM31fGElN5D/Mb8X1GJ7iFKWKW7RFxSc9aoJH37k6ZScpcpIncMpLF5CZdEnqcgSgYYS90dxvmjZtNbwxfnS4dMhjY5syLDRCWQHEtsZWvZXeX2X3KWMLvAx5DkNRNajFmHm7uF1qTs9+c08taYN57ia18PUHBDwaNkHUGdTenPCZzGRBcyVis0ZjUDlYpM/Z2KUgu525b8XjuEEIWeKynZUDBqHBKhHa8XES260zT2OwKLoglNZsFNBgPQlXTsj0iCSPO1zMLfJArdkT5OrXsYKEBzEbC/BHdX8xypS3nIosjqlHW1D6VgJxHqARkiAAJiKchSCNGsrRsfC8H6O4eribC+0EUMSoNh9ilvMmNLOjjatP+PuaiGtWNpGZdjPFAjcmeH5PhMmeY6Thp1RxcxvfyZgR9cFQv0pdpMviJGYD0pWbHwrqVh4qTmzghgaY/FJ6KJrHyVO6cmAxRFk8Iixxi7hzm/sMMMbXGVIvCgCcR8YDgjWFWazLUcwqmRUW6E34KqOiVlgZF2cm6NSrmaTiIk5q5fYzABUZk3kZdjKS8q41ZhqWa0IzgrZLUoosRmneVLlxuGGxlLuTqfGIr8/WxJuC5QhTAub+P8mbxoeHpNAMjR1STg9qucYBp2ROStjsqnPi+iUgO78RWs0oFZSW0+3GIIWCK79WFlgJlJU+HTm2/mDrA6T59KX//oNi5e/gABXUAa/1f/3EFDw2ODZE9ZgxCGof1iEdX83vZFJODxhnSTKljw2zPEWFaVPYDrUKLc+zzixcK6BQ4+PNn8HAt3JURWCDZK5oYERdeImKVNaPSDgdl7ypOPErG8axVwjoe8B77RD1Nf2q5fMcQY4DijW0vqwXlzY7JDBFkp5HkI9Hz3dMhVeLkuzvJciN30zBnkNjKj0MSj0Qe0rfWrZzsgeaGQMm7ylRQazk2TVS8vKu5qIBuTlalRhMP11L8nT1UWhbk4MxQ5LFuNhypl5+dgMBBOmceSy8ntRhKRAZfvnBqhDacGEmWnWzwlrHENEFLadBlPsRXa5iUzYtJYL3wpwsH+K8gMcT8D7pBvpW895WWBSXo9dXxOozKZ8d0BJ2gwuD6cHfrIrFcOCUiLueYW8JrI2CE0EPWAk1myOxaTAQZ4ENh2c1UWCISGpPLrwn9J2MJ0ygT2tmIEpLKr7x5uczYJazj7zqxlZOmrEoOjC07uKvmCnDHJO+hZhYsCJnUGnvMmOUxOmnuHtM/AZ0dqFJlVXLRCSqDUDaDcal3lVGAMoob3tU8A+AK8nUIGuXonB6ybIsMUFOC50ZKg04dL0wWhabkNYZD9jIz+c+fERXp9cQ23vNzyrkDmLzGmL8zKMbo/OTPZIERzAcVTI9KgpleZXZ4Qf8C3Qkmh6i0Z8+P0cgiv3S0rZtiUhxKatHFmBMKYqDeoSOXPzMqc4voBmF4PW82B+GuoCZdHuzFpWVBXs+YNsA7xxHRxIQzZx5fLwC6E8PHhrjr3mkqmCW0G7M6O8LS8bJtYJVHmN1mVfI1BBGN4aP7hb4JyWjbdZywowiBORUUyFJrDLWsKk5enP2azMWAngajQiP2UG4AACAASURBVNCuEtp1GpPSQY6Icb21cZEMM2lj0teLCuWuXxWIQqfD2HMR3yCpgeR87pwYlYzj88+7VMnwnk+oBGSI4EwVLHcXB56odGcs0aRCBxWa4WOZH2zbEBO+v11n2cWsBawmgaGy3Lkxca6Fqgk4/DAucvmNwVFjAB3t6MIppoIK+PPuLg6UwB0GLSOhnQM9oQsZnGPLzrAchO4u7jC4/JpQa/D69pgmlc+Edt4YPeuN4d9dIVkrR8TUfIeijfXmfuk2IMCGkaM9ZgQChgwlhuucYf5bmANIXqPLELm7m7+DvFlR2fAtu0Iy2G3XYpRwsEs2bevN/QPMGb2rTddiBMOZi3gY3d1leJKENfnu3F1mZyrz/jbuavVpMtwLlSxIBKdVc9Buuy4mbWlXgA8xIpKB+NQV/BlHPLqaSkuDPIgc5krumQOrqTWaUJOS1+iiBpU7xxyUhoqRZXeIUldoYuzl6eCKKZTJ8mbHxNnXsisktCfwr713d8q6QcIY1eZRjzWyLPMqXVSeMBdTPIFlcPNnRkUJDp4ioAjAw8QZ0kT9KbFVp+lPLefh9ikR6SIScTettDQoiQGenzs3RiNG8WArKARJzUyxSjjYJf46lhu4GultZCpjSgMHAK4Adw1TGkzaojNk6utjWNy3UpcBW6y9bUNM6GCgZYCrb7mBh7Q9B7opY7Em3g+W7fw+PB26+OOAHgiOPRyg4ZORMy8mM0HTn1rOHSqDcpjS8PEdEFA7Hn/NJZ0XuIujCosqJgLwtGruGKQt50DErsVkfgPCF9YtzGtPWMfvGRX2rAUapf5oHeXO4Wst4752GVSHUR+Sc/h+WDfznFB8L88TwQfHektQHK3zZsdEOMLl14QOgusSQh+e9brQGDecGElJzTqVFfu5cmvQYEDPSmzla8oV4MBYqtJ+TSrfqSs0MQmFAzoG0mHW56vl/QPKP+gII9jHPlRyTZjGpK+nookRoQ1ibi+7wjSaxXwHBrYtN0Tks54+5WIRjGZd1Apt1xmdY4O+51tpnCGGcqLlpn6ZwUmrNpXw7IYHDtQEk5q5wFRaGpRun7P/DCPCzXw2pNTzd1I4lYsDmMWBSlZ8H89IOcMc/CY1m8pumNXyrTTpRpbdIUpp4O8E91RSMw/PZy7k7zxjMd+HGMYWKet1fDaiqi+UtqBBUzW6cpkL+bp1RDUxN8yeb9w/m0yZXVxnebOiIsENc0x3tylW4qvThW6NoiFg17k7lb6Mz7L8GVGqfXYuJ/bGcDmSb3SOQdnGzElSi2E0eKiLTYgNQ2PbRmOvbjLllvNnRkVwI3UFU0VhnAq5bnTKUhoMv5fro+S6o5c7E/v8Mjti2RGWJMyuMZvjmidXcpeoXpeCXvpSTRQZUdTIm82iEEWTIqwiaHhRpVUbggpzY2TvUQnI+YRKQIYIkIDYuwKiqe3p4Lam5QZTvhKUFVTk3V1cuRqV3ysDx6g4Yyg6u4Lb0mh5++q4Upy5kKkL4KZCEQNus+CeFk3iwAUDnqiwQb43fyZXoaCc4avVhUsa38sJB5ISHFAY2iy+Nmxyq43qum1jTBIAT6cu9DAg8VAX2TbEJKDBAGnunJg4RkOT3bvKPNzdPdy+L7mG/RSS1nIwUTAtKsFucpMuUovuu3rEcwTKTdnzeagZ/HW7zrzarAWaPB9BKEyz3F26VPic+5kXXzIuRNkVMRr7RD0fpAE+aJ2397IqTzs7jrt7mMZh3RyluUeXiva/bUNMqluQJ0RVjojY2fz6KC346SIqvjY8oLJ3JoceCmnubk6IcPDiuoGqmW1DTK4tGEyBMldWEhA5x5R6XQJJXAeuIM+D5M7h5NeuM/0DFDLr5ihZ9pivOyatUyg3OeUxOZg9HbrpNLw5Kjz/pLX8d3DQ2m4LkG0DB5SWG8MyA5A/IypSnUjU0qt4CBqUDQT5KfUcnMHpOrvCcB+eY8iOGokBHLNT6nVR+MKgJegX3kZD9WsXf+euO3plbazXR7kT2aGL9r2nk+97R0QTh2rrzf0iAAGVGPiCpC3n9YBbtKeT/z1/pqnShSANST1UakAZzClnM8LsihiVPNLEQ9/Lzk5AMNAMyo24kWsx8VPJWsBBUnyf6fwMGh/UgfJnRqWSXloWJMt2pvehWv7Sm1eQZZupYIZ9AoOslj1sGFg8PkwjRvWTbUNM/AW8q/h6RvEAztnJTfydbDgxUtypEVQmtuki3JEzjwsJ2RUc9BRP4GQaM3ZJLRxYo4MH88xtL5cQEdGPf+MRBb2C6VEqmBal0Tk9PDy8QBNKj13nWTFPB+8HxRPCYiTpWa+LWhc8hnLKYyJyUTIuRJYb2JfDV2sOjyev4ULBmJQOsm6NUvnTi9mvp9eQIa4xr1HfSl0MP+EwbdvA+yk6RFkLNJkXQEc6vo87sLOPVIn8uGOfX7p+1k2GuuDN/eJUb9kVkqHj994eRkQkCVre7JioPGUs5k6trNNKM8lJbOPH2zawqR6KTUnNph9GfJ8xf7bRFPCw6zGZafSuNoamu01zv/RlnOjC3BJJH/aU5CZjJsHoFCUe6pIuG4ouWZXm4DWcxiE4kV1hzPAYCVhCOxfmIO6BQkX2fE7e4U0CnNntQLcMBQfsuYVTWNwkfybPODrDpukqAnpX0JDmruWzNaeck0aXX5NhfZdfo9feupyy53NSM7Kgj7IfaOXPvpq/09QaLtRYdoVkv7JdF5OOpruL51cdUe7aWPZwwWpUfi8LVhjJc+ZC3rth7glT1PRlTIOEyh/OlPSlmnz3KDpY+tUMyPmESkCGCJCADNNZYhU0DlSXEtp1CZThujz532soawFXtyEdiq4FBhetm6MyrFo0if0joMcO92e4C0P9BJK/GOhFRTlnHgek2EwxKOrp5OfnzeaDxx7TRFkIAVRSsy7cVFAe0pdp4i+R3MQbcN5DzUI1gPwm+LZAxmJ+L0lrdfLd08F0LUM3HIE2KsswLALv3bvaaO0u0Gico4mr/HNjsulDMSp5jSHnaFARMIR4+pSLMhdqNDqbuffO/X0U36fRmLROSX5SGkyjN+9qXVSvEtbpQjmxx/iAK5rEcoqugCYBrj1mKhoh2LRujYpUJXj+ebOiwkPPWKLJvAMRCf3EtjcgvF8MW48s6BPXYqideFfza49JX0/2fX5yRPk7Sf3ROumCZc+P0ajHGmXmA4PECJzxePhowHgOyk2W7RGhQlh28yA6gnPv3Z08YP1QM9OIqswBa0hdYm0zFxn68ga1Ae7JmQs5SBoxsp8SD3VRySNNwtN29msyNA2aABHR6VMuXvsoy5YWXxuWoc6e4xNY098YtM6Zx8kfEqnaZ+dS2r3tdM2TK5mmZdAY8mdGyXZbgIomcoABvxMo78T3mfKZdj0mMtiZCznYc3fze8ybFRX1J9cdvRKgw6k88VCXUGjsOncIENzaNvL9ATqP9dagOMfjJ3MhD/KWPbZKZqes1xuGgjEOCD8KKO6cGVR5Ovn94rMgWE9q5gAou4KTzZR6IzmZGaXiCUzvRGICnjckWzPvbyPLDRHxlclYzLQ1uKnD3dm20VTqg3Fd7pwYjSzsE4d2DCCnL9WkMp1exVVUe0yT63HEyH6hjUHGNKmFK+mYoSsrCVDqj9YxjXNHWAJN5+29VPJIExERJf1wPWUt4MASRoxQzLNsj4hLtT3GwaHlJu7eWjdHRSrWclM/O7Y/2CLUybLHVrHHxWqTXuYwug7O/X1k2c3qQPYfBCh/RlR48i6/JrMV6Us14e5nLTAU+4zua/ydPeztsZULShh6zq7girn9BwHpeKbU6zK4jzkkzJz56ozizXpdqvQpDaZZ3ppjM4iIhTJAh0xay8/JXGh0wYzr2bfSoPduZoqtI2I6sGcuNOh393Sw7023LjQop3HG+Gp1MXR1+ZkiCJVGmFRiCFwKM7WmjDIUnAqmRWnESBY68Dby9WrZybQmSNXjuUnNRsJ/T4cMU3tX8WymK2gMVI8IiOSsOKLvDkmyUTYiIPdc5iI+D9C9L57A0r058zix0k6MojEpHUK9dHcbydYqLriho+HyazLLiHvT5TeNQjFDgoJl7tyYqHFCTS357k7uXBvmqRCSgWAM5i8x85XUrMvQe1ILXwPWrVGhHqfWaOJVhQQOflE55bz2EGPJWMISz0gG82dGKW2e6oCcT6gEZIgACUjBqG5KX2rq3qM6CTUqTyfPgzhDJrc9c6Emzua+WoNeFDKcsctjMgyaVakJDxoDznad5WUdYU1M9OABkLlQE0Mx220Bc4OaHxNzPnc3H0YpDbyJF09gnnnmIlPFJncOv3/r5qgMQ9s2xET1CcOn3kZW7oGqD3TZwcEG0pbz5usKajTW3Uy+lVxBhPETNvDCKWzmVvjjtVIl867WKfuBVnIFDbpNs6EWtciQ6p3KQbvlpn4O+AyerKeTq63goJaWBml0RhfLqcY0cUK2Xs8c5YwlJr2jYDpTWpz9TL9wBTTT7HEW+61gjgIDh1AwQesdMrkjRvWL1GpKgyHxO9vk4yNRg7GWr5aTsPteTebEwXBrR7KWUx4T1bAzE8/UGk4Oc8p5VggUPG+jKZdbfC0r4kDMYPjofip5pIlnggxjueIJTLEoe2yVJBUF06JkvZm536DTFEzn4Cutmq8ZGeQ2hq3TlvN7KpwaEcnY4vFhSaQtN/ULtQ/DlpjFSVrL8wQ55WxMBhlXIjKpSBGmhvzsdQsLAhjqW5i1coY0oUxhHsMZ0iQQSWrm684ZNszRtkZFKtS30hSUQCALmVAEQr5aU+0LPHjIJtv2BoQiaNnFiZtlT0jmK3Cow18iez6/rjNkzkzYrovR1J9Ui6QvuoOg5bh7jO7RGf43Z1ZhAai6YagbBYTSsqAMMRdMZxPAxFa+VpKaOcB3BVhSuWhSRNSxiiZGZNbGrhn0LCOwyX6gVZSgEtr5Hsf3kV3BexL44sXXGh4DYVMyFp47uXO5Opv/ULMMs0JJClTPjCWmdwFoOUgWrJtiQmux65xkpi3XKPrLMXytG8aZzn4zqYUktl1nKhQokqkreI/OfqCVh5AN6pkzZLyH6UzNKXtsFSf5C/jxxRPCNPPIMqFKImCDaWPyGv6+YHAHCiMUysYfriNPp/G66zmJhFBIzryYBKzpVbxnZSzm79a6NSoJuCNiDHwbHZQxaRyMQimptDTI5prVmszL2TbEZI9IX8ZBLChYUKtCASxprTG/sIfpiJgNwXWMNU2vMmYabu5nP6haU2Ie1BzI1HtX61I4c/ab7620LMh+FgFNVJ0w01g0MWIq/RlFk6KJERqd3U0uv+H3YQiMQG0vfyZ3uiAZO2JkPzMVjDWFtw+KfOhoJq/RzcR4De9lKOoB3lW67B3ociU166KgtumlUlGx9NXqcj4UTjWC+Crz9aGkBr8kyOh6G3kPdXfxNZJ4qEvij4Lp3KVd/fxMKTYUTwjLveWI8N/G/A9U4GCKXDA9KgUIdzefg/kzoyKd7+xnCnXGYl5z+FCBYp3Qrg/oKHpXGTLv63RKqlYyvOcTKgEZIkAC4l0aYGnPFjPgG1nEbVKoUrl7DH+HtYbD9eaoUJJKrgmzAtQDrWI6lrpCE+qKM6zJjWzbwBxL1x29zE3dFRL6iF3nai+kCCHNCF100EHKRgS4GnZLkCy7QwP45ZbtEbLdxu7MJeNCUp2ybo4K1xi64pmLNFHZSl+qCdfcub9PnGYBDCNDEShtuTGU+0CrDM9lLtIkAHT3cODm6TC9KBIOdlF2BQfXcHvHcH9iGw+LW3aGZYjbFTAHOLMrOGlLaeDhZPDo4b0At3SYmXnv7hQqiG0jVxMRWDhv75WKt7ubDyNXkD9P5v1trPtfbarNWK9nDwO4MP/+P66kN966nGqeKaeyx1ZR6JdjiYjo0Cs+5mrvDtGzr19NG06MpJlHljGFJsiBfOb9bWaFadUZko0PNfM1oDH9KeFgFyeC9bp0Zdxd/IPBcm8jV9swgD58LFMuiq/lBCSxVRepY/DmMbCJ9bBeHxVTP/hbgP5m2R4Rc87ia9kgML3KpHbZNpoyrSn1fEBhcDlzIa8daDrwDyEioUPkz+Tgwdlv0hpBQ7HsDAt1DHLDCet0c7Zie4RlUY1BWcs2pq7gf6PynLrCpBdCjjq7IiYu8bYNMVr53BzuphgdDBzABdNY3nLEyH7KqtSkM5BWbc5NwScAQ9IJ67hjhxmjlc/NESUe7ypDcWixRnkPNdOOl4so7d52yry/ja55cqXsKR8FrgNIayes4+p0zoMt4imAuTRXQJNEE5SX4WND0nEcPrpfxB5wDY0YZUoQw5QScxlwf0ZwDZNNXJfwI7HcGBaFvrxZnMQVTo3IXAAG9osmceCMrhkMLpNaOEB0BTWhAkI9CapQiW26OFGnVWsiB01ErHZXw5/ft9Jwpb+rhzvXRlI79+hSqazDNLZwSkSojZbt/N7ie3WRCU5s02V+IXORJski9kFXkO/t4WNDQnd1BTSRuoZkseXGsCgHQuSjcCongrbbAlIsGj66fwBVExLjmBcBZRSKe95G7sy7/Bo1PjeLTp9y0eKfVdItJ3Op5/gEKn96MVl2hyQBsf8gQGn3ttPUn1TTi29cSeMP19Hek9nsvbTQpE6hqJaxWBMKMYwSM5Zw5zhjsSEUEjDFLvAdwN8npd7sQsX38tlp2RUS4YnCqRHpnoO+7Apqou6G2UTQ5HCfodPo7uE1dQX49SBz61mvyz6XO5eTIUfYoCne2UOW7bxfgCYJ2hEA8ZEEQ4Yb+zfok5mLOPgfPrqfRhb5WUXwliC7lq/l++hM0Qx3jy5FtLTl5v7lbTQ9PYhI6JUJ63QZOk9q0UWtrWhSRM5H0C4T2k2aH6jdyU1ckEpsY/VOCI1kLtJk8B+UNMsNEbLv87OK4Sbe4yBgYLmpn1UI7+kgT6dOh17xUdE9tSoBOY9QCcgQARKQhLogOyQbVR5QmZKbeCMBHcvZbwaNttsCLLdoUH5s18WobESAXEE+LL2ruEKDqk7e7JgYP2EwF9VlyOkltPMmAck9dw9XuFxBDmwKpnHQBidiGOLBQAhSqKjIlIwLCR1oVH4vOft5cx6V3yvu7NatJmcbg5OWGyIymwAI19kYksOBnzMvJsFy5iJNKk5QAcIQPA4LHBjg84K3jqo6Nk8YrrmCnODF93HCgsDdtpe7LdZNHDjF92nCjwU3O2MJPxd0KWc/b9hwkXf5TZ18BFfDR/fLUCHoBiXjQnTPq16y3NRPz78xjOLv7KFHf+OmjPvaqeXYNMpcaATWB7to/QuTKP+hZnZh/kGAlj8zn15583LKWsCBsyvAevWnT7nob791sLtxv1Ht3+cXQ8HR2d18OOwISycCA/f3vOoVJSZQ9lCJxd/1ruK1xvUX38trBOWxvFncISoeHxYKkHUTV44dEYPXb9DnQCVx7POLS3JKvS6D2OjkeDp0kbNNONjF1b0eTnrSl5lUNch9Wm8JsqnXOl1M9DBzgmHcESP7RWoZg6pjUjrIEeZrXiSGjeovgpjMRWZwZv8BFxgwDJo3K8peKUZgkrac6YfpVdxRsm6KyYxOehUnNN5VugzpOm/vpeLxPKNQWhbkAf0uvu5g5pbcdIbufxVTMZGIeTp1Knmkidx39TAF5v42Wv38TDp9ykVTf1J91j6F5MKznqvCzhA7RWNmIqWe7yOsAwz1IKLhCmjyXU/9STUnfcawNwK5pLW8r1k3R4Vvbo8NLKaUlgbJekuQ6SnbI+LPgf2yaFJEVMfwUzIuRM+/MUyCUlCCCqZH5f2lV2kSlKVXaRJQ7Xi5SLq3cKu33twvkqtJLbyvEpHMjGBmzhUwhEG28twL1I/Sq8y9JneOcb0biaz15n6y7Q1IQm7ZxrKzSACQ1EPZCR0yX60xO9Kki1wvZiPgaA4PJ8wR2vWYrEnBNO4GW28NyszH6VMumQ0DRadwKqstoqhi2xCTOb6yx1bR6VMuWvDTRZRwsIv2/TqTrLcGKb5Xp/KnF5syvDdEqOaZcmr7xVQ6fcpF059aTn3Hx3PQvI0TcszXQaLbHuP3Piq3RySNEww5aXePSQMqmMZVd3c3f1eYFUto5/0HIgEZi7mTCgqR7baAdAWQBMJPBvtJybiQvBYoojIfZtC8HBHD82lLVOYdhB65wZDk3RylEaP6RcY+pd6kO7u7zfMud27MlKitNQ0dUQxMqddlbi27IiZ7F6Sx3d2mzxQ6GPBdAasB560jwvtDUos5y+cMcwJn3+eXmSBcSwkHu2RmyXZbgOdKjVktCM+kNOhiIIm9Cmdv5iJD/jhqGCEbXiRQ1nT2s0iIZVeI+o6P52LQgW5OSHaEyb6nXSUg5xEqAfmSYevWrWSz2ejiiy+mjIwMOnz48Gd6HhKQlEUmN9TbaLrpptTrYmyU2KaLKkfJOKZkWLdERSmpZFyInaZv6hcfkKJJvGkntvEmCulWqD5JdeimfjbJW2y0zw1Z3Jx5MfLd08EqJC28gaQvM+RU53DgnbWAq20woiucykE5DoDMhYZhoRYT2kJSM/9/UAES24zKXJMx3L49whvWGaZo0GuHcpZlD3Nnwem2a3yYe1czFQuSjDD18qzXhYJRPIFlDdOrODhEAJg323C0nRoRFRpQk0rGcUVpnKWRfCv1AcHPqPxeCcRx4DgNGUNU7FLqdaG2YdgeZn/pVaacI6px2fNjlPTD9UJFOPq6lUK/HEvWzVE6fcpFp0+5aPzhOg74dQ6CRjy6mqxbo5T/UDOtfG4OWW7qZ6313SEqLQvKIQCTPF+tLp8dfN2kFh6A96zXBwTTngPdZLmBP4tdj4msZPEEPmgxZJhVyUGubSP/5M7lAULr5qgE0lkLDDPMYj8t/XmFyLVmLtRE3hOHfEq94SPRr0lwiMHMM2mH6LDkz4yK+lTack10/QumcaJBxI7xxePD4n2RVWmIAezv40DaCC7tGndNMLgK+k7JI02cIBqBMCh4Ew/XUmoNUz3gkJy8RqelP6+QeyuxzZRBTluuyZBn+jJDtckY5i2eEJb1hF8HnJAxCwM34/g7e8h2XUyCOO8qrow6Q5qsEzjwSNpPn3JRzTPllPqjdXI9Ff547ccmIHhviW08BA+vIW8jc9wzF3IQm9RsSpc6+zXpAiEZAF2nYHpUOjmoBmMNILGMPSz6yzGUusJQvdtkuqznz+T9LX+mMVh/dydZbw3yvrTa9AaC5K67R5fOqK+W3ycGvSGxmlXJXWRQXbIrYiINate5c4z7OW9WVIaEsUbWzVHxq9j360zKXKTR4dccsm+n1nDSmzs3RiXXhGXWLW8WCzIUjw+zd4jRAUmp1yUBi+81lb+S1/DcFSS1Uxr4c+WUx+T+yJkXk+sMqnMZi42g0phFy67g4g06mJjXAQ3KsjMsFDQEurhXYG6LhKpoYoT+9LaFRj/ewMnpbjaedOzzk2WX2QEZ9VijmOWm/mgdHXrFR4mHusi30vzMlm3cqbVt4MAadNzUGsMV3ej6QQbat5Lv7+z5pp+Gb6Xp2WPdanbY4Z+CM8eyjZPO5CZjxsXw5UEQbd0cpcKpEUneoBCIcxnBtH2fn655ciVTvIL893G++up4rzh9yiU0LJj4QbUMjvZA7lzTEDO+TxM/oMxF3O2CiqT7rh5yRI2iW0gTpUKwIiBNjZkpyPYWTolIsQLd56QW3pOzK2JCr0tdoYmUPvYhqMs5wwa1sCImhSs41Fs3Mx3VFdQk/vCuMve3lAaTGYB4pHBqRApX3kb+G43PzSKXn2f17ns1me74dQa9c9KhEpDzCJWAfImwf/9+uuiii2jnzp104sQJamhooEsuuYTeeOONT30uEpD4piBXdYzDAMOr+TOi4otg2xsYMExr2c5SdWK81K5LS9dyAw8T5s+M0ktvXsHSd8YAW/G1YUqr1kSz3BHRJCBzBTXxvwD/OWOJJhsNAglU9EAlgeEVAuz0Kt6I4DwLsyxUj2RDbORNbXROjxhogR87sqCPvI1mAgJ5T5iQYeNEZc+yIywO6XD6hSxt8cNrJDmI79NodEYXJbbqslnCELB4QpiKJkUo58EWKvzxWh5oNFy8rbcEZf6g+NqwyEdiLiV9qcmJxTCpI8prk1XJh3tZSUCCp+wKVoIB7xrqYBh4LpwaIXe3qU0/9+hSdti+u5NCvxxLa47NIO/dnbT1peGU91AzETEPfdNLpXT6lIss2yN04JU02vOrPPIc6Kbia8NMmdvFgU7uHJacBRUNijOgtsT36mIcOXxsSAIUd5cucpxy8FRztTJ3rjGDUsfBuuXGsIgrDB/NrfSUBoMiYzibF07hz5k7l4ObtHvbmbJ3c78MMns6dRnu9tXpothi28AzA6+8ebnITWcs4eCg5plyct7ey8PpbeZMBBFxUvHD9ZzA9GvSWbNuiYrrryug0b5fZ3JXy5BkzpnHAXDWAg5I0fVxBTShprn8mlBjxia3k+VGlqN2d3EiBZWlpBaTapU7lwNBy41MM0PiktiqS+IHOgnmsDKWmK7Xox5rJGc/B2egbsLbwhXk35eNCMh1ntyk0+wjVbT05xU0/nAd1T47l06fctHYJ+qp7RdTz9qn8mZFxR8gf2ZUhmwh7YnuVsk1PB90+pSL/XQeaBVRiqKJ/D3nzeZ9Caae7i4O8iDf7QwZA7yNZgJcPD7M1JJmXWYYOl6YTAXTomJ46lnP3aCkZpOTDsokFMLQZfWs5+AUVJLUFbzvpTQYcsDGvuUKmvskhv5RnElq5udiaB9BW2Kr+RqOCBc4nP2892Ys5mvFrsdkmBn0V+8qU4Z0ZJGf/YFmx4R2aL01SM7bObmBqWfhVPYH8a00zVyTmvnx+L6h5oTOLeZpCqbzgDfWBdLpCe2molzioS5JXuE8b9kd4m7z/W2sOGaozbm7mDoLw8bsB1pp7BP1ZNkRphfeuEoSkNOnXPT8G8No60vDpZO74+UiKpgWpbJiP1Ow6riT0RbBSAAAHrJJREFU5PJr4huS1MIFD2dYEzoj7j3r1iiVjQjIIH9im1GZN7o6kBR2d5t7Ws48VoBDVxyS4r5aXRT2IMTh6eS9G90+23V8n2PYPamFg/+UBl0CbjAJykYEZNYInT93F38+6+Yozxse6GYp31uCcs8ltjHdM292TMxerVt430SXL7siRiML+qR4CJnqrEpNvIxAg8S8ZXYF07CKrw2LgbC7h/fkpLWG91ifOQSOJLRkHBeBcufyNZnSwP82Jq2TfHX8Xkc/3iB+P/CGcnfx9QHJ6/wZXDhIaDdmRgyhl9y5HEug85e0lgU/lv68gqb+pJosN/XTxMO1NOLR1ZT/w5UqATmPUAnIlwg5OTlUXT2wapiQkECtra2f+lwkII6b2kXC07qVKzCgraCa7OngBAMSrN7VfNN7OjlBwcDX3KNLKa3aNAwCHSOp2fDW2BNiLvCcGI3O6qKEdXxw2TWmXE08XCsbWs48Y9h9Y0zcX3PKDT5rxFBz2R2SAcfCqRzMOyIc9GBwEu100LVSa/gwy5kXE38EX50ubWd7TBNaBJA3OyYKKjCPQ8UUTsoY7IU6CYY3cWh61htVPIMXa90SNfmqTaw+k1bNAUJWpSZV/uyKmHk4GVVqy41h4Vijmmm7juk1MMVy7POLshbM3KzXR8XoCpKomH2AZwRmTuw6V7WTWnS651UveQ5006aXSoXuMP2p5bTyuTk08XAtEfHhPvtIFaX+aB3t+VUenT7lohffuHKAr0dim2lqWXxtmCx7QnTNkytZVnFvgE6fcgnlBIPm8FQomhSRIXbossOpNqGdD6/UGlZNsd3GQ9TOsNHF2MmdEleArzXQAZA4gGMNeVAMrlu2RciuxWRYN6We7xO7FpODH7M8UGOCkhqUuqy3BGXIlohYGGBPiOLv7OGB9/WcpObOjYkMNmYTfHWmoZ0zxNc4aHlIsr2ruJKe3KRT4Y/XcuW5xaDAGB4czhBTF9KreD1GFvRR/J09VDIuRCXj2ONBzC6NBA4BM1RiHBGef0HQ4/LzNQNTRU+nIX+6LUL5DzXzYPUKTZKejCU8l2DdGhW6zOlTLrrj1xk08XAt6+3f237WPuUMaTLwnr7M8DXZGeaBcMP1fOpPqqlkXIhG5/SQXePrHN478Xf2CEUpqYXvobTlfJ/lz4jS4p9VkiuoiZIQRAXmHl0q1JCM+9rJ28hVWXR71hybQXmzDF+NDi4gIBnGbI7ttoAM6BZMi5pVWqNT7KvjOSZIiyav4WDTenM/yzNvN7uhng5dvIdALYMPSOoKpo0ktnHhAd1pSJkiCZ59pEqEQvJnRGWoHB0xqL8lGN4W4OPH92ki15pdEZOOjWV7RKrKuAYwvJtdwfcnaHPwX7Lr3IlLXsPfjbubqTulZUEaf7iOi1pLDVdrQ63Pc6Bb5M8T2nURPMiq1MTLafaRKlr53Byy7Q3QiEdXMz30/jZKPNRlUrCMa3PmkWVk1/k79t3TQZZdISng2PYGeJZqe0QkwEeM6pfOHzwsLDdEZFYIcukoiqA4JJTZjXy2oFMEs1jr9VE513CmYWYEc38QZrFuZklv0BHPPFN8tbzuroAxx9hvGp0mtHNyDPUn6xamYRVO5df2dPDfs2vm/BUU3pz7+9i3yRiwd0T43ovvMwVmXAF+PxiuB2UOpqig9IGymrHEEJUxEovSMk7SXH5NZkycIbN7KT5FAb6nUlfwfmDf55eZDl8dJ96+WnNOzxXgBCp3TkwKYNatPNxuuSHC0skbYkIhKyv2S9dvTEoHTf73Gpp4uJasW6KU91AzjT9cR/t+nUkj71uuEpDzCJWAfEnwwQcf0De+8Q06ePDggN/X19dTSUnJpz5fEpD2INn1GC1/Zr5Uf1JXaCKXmtimSyWqrNjPg7p1Oi346SJ2It8boIz72ll/3qBAOKLGkN4qDqQwaOZt1GW43HoLz56AA+/s543LFTRpH46wwY1exofm3KNLybqJZTNT6jn4Bu/T08HdC8uOsFCRfLW8MSY3cQCA4BqeCOnLjAOu09S8x6BsWYkpS4iDGeowMFs609QpqZkPnqJJEfEXQTUofSkHXwjCrVt4uNd6a5BKrgnzYLqxmUIbPWOJ6d5cOIVpIuCwwigyvo8r6CXXhOUQw1plV/CsTfydPTInAvnI9GVMKUEbPvP+Nv5+DLnNhINdsqE7whot/OlCrhQf7KJNL5XSmmMzaPTjDdT43Cyy3BgmIk5AbLexe/ehV3zkOdBNi39WScXjOUFKPNQlg7roQtn1mNCj0qqNWRAjAfOt1Mn+gwCVlQSEpgEnZrx3zB5gOBn69PF9PFOS82ALdzLCnFBabwlyMGEENDB5g8kljCAhcGDZFRJlsMxFmsyyoEN3+pRLOhnZFaxx33JsGlf9H1vFco+GYRmoaq47eiXISGzTmerWz8O1CBhTf7SO1Xl2hTj43+dnmdcfraPaZ+eKfDOMEaHg5u7RJUAtLWNDUbgpw0sHQ/COqEa1z87lgPhGDp6tm3lI1bqZ9wBQHD0HusWAz7Kd6SDbXi7hdTO41I4IUwWRDDnD3OlBBxKDtjB/7Ds+ntp+MZWct/fS6VMu6js+nmYfqTprn7LewsGTbWNM3KpzyvlzW7ewB0HmQqZTlY0IUPG1YVH7SVuuiQoYuqTgpFt2hqVyb90SFQfr3Lnsv2LdEuWEaTMbJSYe6pIKLAwXRxb5xU3ZHuPACoqCzn5WrULw7QxzYQMSpMlreC/EvQipZfhqWHaGRdUpvcpU2rJs4/3QrseE1pc7NyaqboVTIhLgJrQzPceux0RyOPFQF6Uv5es98/42+uPbV/H3t88ve5/1er4OLbtC5IjydwzDTwgvZD/QyknRZh7mTavmTjn+JkzzkMhioD6+z0xk82dGRQSg7/h46ZgntRjf0Q18rXk6TI8bVONz5sXojl9niJP9Pa96WeL6jl5ac2wGy2vf3UnPvzFMEpCX3ryC3nt7GJvK3tdOll0hFv/YHZLEq+QaLkJ5V+tkvTUoFE38N/FQFyWt5Xvfen1UjFrP9NJKbDVmdjZHRcHRcoOZUBVM42JGySNNlHiIhSdQAAEVLKlFl06dc38f0xnXm+dMSj0HyjnzYuL6DVlf+GihW5/YyteodTMX7yBiYtnO1X5voy4zakREjqg5YI/u+vCxIRqd3U15s6LSgRyd08OUVsMosLQsKMVHmFSKWePOsMjGg5LsXWUkS8Y5nTc7Jl2SxDZdVNmKJ4SpeDx36J39msxRuQLMVvB08noVTYxIgpVacwZl1FA7K5hmdqvONGvEXCQolAXTojT532uo7/h4qn12Lo19op6sW6J0zZMrae2Ra1UCch6hEpAvCd5++22Ki4ujp556asDvA4EAud3usx7//vvv03vvvSc/b775JhsRrlpPaeUBSqwNkndpgKwBP1l2dFJaeYAc6wMUvyZIruYgWUJ+svUFaNiGXiouWU+u5iA5OgKUWBOk5P1rybEuQM7WILnWBsm7JECWsJ/i1wQpf2wPpSw2HrcsSK5bWylhZZDeOemg7Cl9VDCqm7Km+clTH6QxDyyj1PkBypzuJ/fqIDnb+PXS5wTI0xgkT32QXC38Ph3rA5Q9uY88DUEqGNVD+WN6KLEmSEnLg5RYG6TsyX1kDfope0ofZc7k17fs7KSkan694pL1lDuhl5KXBcnRHqSM2fzY9LkBsu3qIEvIL2tl7+a/5VsQIE89//30ufyTvDxIV4f9lLCvmXLH91Lq/ADlTOwj162t5F0SIFuf+XmujvZRakWAsqb5qbC0i9LnBMi7JEA5k/ro6lgfuVqCNGxTD6VWBChlUYBiPy8kT32Q7D0Bujrsp8QVQcqd0Ev2rgC5WoLkWB8gWy+/p8yZfvItDFB8U5B8CwM0bGMP+Sr5Oxm2oZeyJ/dR2jz+/ka6GillUYAlmOcEyLWWn5O4Ikhp8/i/8WuCZO/i13fc3EYvnvg3euekg95+eRg9efwqKrqnliw7O8lxcxu99957tOXZHJr2cCU98IKNXnvpcnrr5Svp6lgfxTfxdzLmgWWUNc1P75x00DsnHRR/WyuNeWAZDdvaTd7b15Al5KeVP5lMjpvaac6j5eTe20r6MwV07wsOcq8O0uqnJpBjHV9Hlh2dlHWwgeKb+D2m3bWahm3rImvAT4n7mmnjM3n0zkkHuZr5Okvev5amPVxJW57Noatv6KK1R66lYRt6adKPF9E7Jx3k3ttKlrCfhm3ppndOOijwsxH0zkkHvfXylbTruTRa/dQEct3aSpYdnTTn0XK6Ouwn+552StzXTLa+AFmDfnI1B2nYxh5656SDSu+tpgWPzyZXC98bVn+A3jnpoPfee4/eOemgxJogvXji38i+ex29c9JBwzb3UMmPVpB9T7usz67n0mjYph4K/Ww41RyeSsO2dVHivmZKvbOJrr6hi4Zt6KUXjO8E9xM+y7Ct3XTvCw6y9QYoZTH/7ceOD6NJP15Elh2dZOsL8D3bGSCrn693a8BPKYv5+nGvDtLO5zJo1P3LadjWbkqbFyDHugC5VwUp62ADFYzqJldLkDyNQRq2pZuSlwcpcUWQ3KuCtPGZPPLUByl9boAyZ/jJ2Roke3eArtb6KHtKHznW8fs58uIV5Lq1Vd73uqNjZI3O/Lk67Kdhei/NenQ+JS0P0l3H3PzdnvHcM3/w7/hZ//Qo3rc28XdTdE8t2fe0U+qdTfTOSQe1HR1LbUfH0pInZlHVkzPonZMOeu2ly+nqsJ8cnQH68QtWmvfoPHk+rov5j82lGY8skN+9dOLfKOtgA+0/lkjvnHSQY12Asg42UPdPR9LVsT5656SDfvcrK61+asLHvm/8ZB5opHdOOmjkfcsH/D7trtVk6wsM+N2SJ2bJNXXmj+PmNjr0CxctemLWJ/6tM3+yDzaQszU44HePHL+aFjw+W/7/2iPXDvj3tqNjybKzk+8nvZfajo6Vf/P8oGXA+zxzvawBPyWsDNLVWh/Zevn+2fVcGt15LIG8SwJUcHcd5Y/h/cvWF6Ck6iAlrAxSyuIA+SoDlDW1j7xLA5RQFySrPyDXlCXkH/DeSu+tptdfvmLAvdf4k4m08ieTacrDC8m2q4NKfrSC95+dneRezWddzsQ+ypjlp8KR3RTfFKTMWXx+ZE/uo/zRPbJHps4PkKOT9+qMWX5KXsbnpHs1Pyexhv97tdZHibVBcqzjc0z21x6+L+Kb+HPENwUpayr/f0vIz2fU+F7yLQhQpvH6ycuDFN8UpGFbu+nqSB//eyU/N76Jz9vUCr7ei0vWU3JVkJytvNalGa2UUMfno6eB/5s6n587bEOv3HOe+iD5FhivuSZIln7eG3wLjTOvir+LpGqOARLqgpRcxWdI+pwAFY7sJkd7UGKKlEUcX7iag5Q5w0/2bn6dxBVBSq3g89HTECRbT4B8C4wzrTFISdX8upZ+P7la+PVdLfzZrQE/pc8N0PC8DkqsMT77mB4+x2qCZOsN0NVR/h7x+u7V/HnxmR0dAUoy1tO9Kkgpi/g8H7alm0bet5zce1up5vBUCv+8mIZt6iHv7WvI1txJcXFx9O677w5WqKdwBlQC8iUBEpAjR44M+L3f7yePx3PW47u6uiguLk79qB/1o37Uj/pRP+pH/fwvf956663BCvUUzoBKQL4k+P+lYH20A/LOO+/QsWPH5Gb6aOXxQv9566231NqotVFro9ZGrc+X4EetjVqbL8PavPvuu/TWW2/R6dOnByvUUzgDKgH5EiEnJ4dqamoG/C4xMfEzDaETmXMg772n+IwfhVqbc0Otzbmh1ubcUGvzyVDrc26otTk31NqcG2pthhZUAvIlAmR4d+3aRSdOnKDGxka65JJL6PXXX/9Mz1c357mh1ubcUGtzbqi1OTfU2nwy1PqcG2ptzg21NueGWpuhBZWAfMmwdetWslqt9M1vfpMyMjLoySef/MzPVTfnuaHW5txQa3NuqLU5N9TafDLU+pwbam3ODbU254Zam6EFlYAMIbz//vvU1dVF77///vl+K186qLU5N9TanBtqbc4NtTafDLU+54Zam3NDrc25odZmaEElIAoKCgoKCgoKCgoKgwaVgCgoKCgoKCgoKCgoDBpUAqKgoKCgoKCgoKCgMGhQCYiCgoKCgoKCgoKCwqBBJSAKCgoKCgoKCgoKCoMGlYAMEWzdupVsNhtdfPHFlJGRQYcPHz7fb+kLRTAYpKysLPqnf/on+t73vkeTJ0+ml19+ecBjKisrKS4ubsBPbm7ugMe8//77VFdXR9/97nfp29/+Nk2cOJHeeuutwfwoXwi6urrO+uzf//735d8//PBD6urqoiuuuIL+8R//kYYPH04vvvjigNcYqmtjtVrPWpu4uDhasWIFEV1Y182TTz5JEyZMoCuuuILi4uLo0KFDA/7987pO/vjHP9L8+fPpn//5n+mf//mfaf78+fTOO+984Z/v/4JPWpu//e1v1NzcTF6vl7797W/TFVdcQRUVFfT2228PeI3hw4efdS3Nnj17wGO+imtD9OnXzud1H30V1+fT1ubj9p+4uDiKRCLymKF67XyWs/tC3ncuJKgEZAgABoY7d+6kEydOUENDA11yySX0xhtvnO+39oVh7NixtGfPHnrxxRfp2LFjNH78eLJYLPTnP/9ZHlNZWUnjxo2jU6dOyc8f/vCHAa9TXV1NV111FT388MP03HPPUWlpKaWmptL//M//DPZH+lzR1dVFycnJAz777373O/n3UChEl156KR04cICOHz9Os2fPpiuuuIL++7//Wx4zVNfmd7/73YB1efjhhykuLo4ef/xxIrqwrpv777+f1q1bRwcOHPjYQOnzuk7GjRtHXq+Xjhw5QkeOHCGv10sTJkwYtM/5v8Enrc27775Lo0aNottvv51efvllOnr0KOXm5lJmZuaA1xg+fDhVVVUNuJbefffdAY/5Kq4N0adfO5/XffRVXJ9PW5sz1+TUqVO0e/du+trXvkavvvqqPGaoXjuf5ey+kPedCwkqARkCyMnJoerq6gG/S0hIoNbW1vP0jgYfv/vd7yguLm6AcWNlZSVNnjz5nM9599136aKLLqL9+/fL795++236+te/Tg8++OAX+n6/aHR1dVFqaurH/tuHH35Il19+OYVCIfnd+++/T5dddhndcMMNRDS01+ajaGhoIKfTSR9++CERXbjXzUcDpc/rOjlx4gTFxcXR008/LY85evQoxcXFnVX5/LLi44LIj+JnP/sZxcXFDSj8DB8+nBoaGs75nKGwNkQfvz6fx300FNbns1w7kydPprKysgG/u1CunY+e3WrfuXCgEpCvOD744AP6xje+QQcPHhzw+/r6eiopKTlP72rw8etf/5ri4uLo+PHj8rvKykq67LLL6Hvf+x7Fx8fT0qVL6b/+67/k3x999FGKi4ujP/7xjwNey+fz0fr16wftvX8R6OrqEmqIzWaj2bNnS3Xt1Vdfpbi4OHruuecGPGfSpEm0YMECIhraa3MmPvjgA/rud79LgUBAfnehXjcfDZQ+r+tk165ddNlll5319y677DLavXv35/0xvhB8liDy4Ycfpq997WsDXJqHDx9O//qv/0rf/e53KSkpiZqamgZUcYfC2hCdOwH5v95HQ2F9Pu3a+c///E/6h3/4B9q7d++A318o185Hz26171w4UAnIVxxvv/02xcXF0VNPPTXg94FAgNxu93l6V4OLDz/8kCZOnEhFRUUDfr9//36699576fjx43TPPfdQamoqJScni4vq3r176Zvf/OZZrzd69GhatmzZoLz3Lwr3338/3XXXXfTCCy/Qww8/TMOHD6fvf//79Pvf/56eeuopiouLO4uvXlVVRWPGjCGiob02Z+L222+nb3zjGwPW4kK9bj4aKH1e10kgEKD4+PizHhMfH0/BYPDz/AhfGD4tiPzrX/9KmZmZVF5ePuD3O3bsoIcffpiOHz9O+/btI5vNRqNGjZJ/HwprQ/Tx6/N53EdDYX0+7doJh8P0L//yL/TXv/51wO8vhGvn485ute9cOFAJyFccSECOHDky4Pd+v588Hs95eleDixUrVpDVav3UIeDf/va3dNFFF9GBAweI6Nyb2KhRo2j58uVfyHs9X/jzn/9M3//+90nTNNngf/vb3w54zNKlS2ns2LFEdOGszZgxYz6VE3yhXDfnSkD+r9fJuYohLpeL+vv7P8+P8IXhk4LIv/3tbzR58mRKT08f0P34ODzzzDMUFxdHzz77LBENjbUh+mwdov/NfTQU1ufT1sbj8VBdXd2nvs5QvHY+7uxW+86FA5WAfMVxoVOw6urqaNiwYfSb3/zmMz3e5XIJt3SoUmnOhVGjRlF1dbWiYBl4/fXX6etf/zr98Ic//NTHXgjXjaJgnRvnCiL/9re/0ZQpU8jn89Hvf//7T32dDz/8cAB3fSisDdFnS0CI/v/vo6GwPp+0NocPH6a4uDg6duzYp77OULt2znV2q33nwoFKQIYAcnJyqKamZsDvEhMTh/QQ+ocffki1tbV05ZVX0smTJz/Tc37/+9/TxRdfTDfffDMRmYNst99+uzzmt7/97Vd+mPjj8P7779NVV11FPT09MuQXDofl3z/44IOPHfIbymvT1dVFl19+Of3973//xMddKNfNuYbQ/6/XCYZBf/rTn8pjnn766a/UMOjHBZFIPpKTkwcozH0Sjh8/PmDgdiisDdFnS0D+N/fRUFifT1qbysrKs5TTzoWhcu182tmt9p0LByoBGQKADO+uXbvoxIkT1NjYSJdccgm9/vrr5/utfWGoqamhyy67jJ544okBMoV/+ctfiIjoT3/6EzU1NdGRI0fotddeo8cff5zy8/PpqquuOkvKb9iwYfTII4/Qc889R2VlZV9JOdWPoqmpiZ544gn6zW9+Q08//TRNmDCBLr30UrkmQqEQXXbZZXTw4EE6fvw4zZ0792NlDofi2hARnT59miwWC7W0tAz4/YV23fzpT3+i559/np5//nmKi4sjXdfp+eefFyWnz+s6GTduHPl8Pjp69CgdPXqUUlJSvvRymJ+0Nn//+99p0qRJNGzYMDp27NiAPeiDDz4gIqJXXnmFenp66Oc//zm99tprdN9991FCQgKlp6d/5deG6JPX5/O8j76K6/Np9xUR0XvvvUff/va3adu2bWc9fyhfO592dhNd2PvOhQSVgAwRbN26laxWK33zm9+kjIyMAXK0QxHnMnLas2cPERH95S9/oTFjxtD3vvc9uuiii8hisVBlZSW9+eabA17nr3/9K9XV1dF3vvMd+ta3vkUTJkw46zFfRUA3/aKLLqIrr7ySpk2bRr/85S/l32H0dPnll9PFF19MJSUlAxTEiIbu2hARPfTQQxQXF0e/+tWvBvz+QrtuHn/88Y+9jyorK4no87tO/vCHP1B5eTldeumldOmll1J5efmX3hDsk9bmtddeO+ceBD+ZN998k0pKSug73/kOffOb3ySn00n19fVneWF8FdeG6JPX5/O8j76K6/Np9xUR0fbt2+lb3/rWWd4eREP72vm0s5vowt53LiSoBERBQUFBQUFBQUFBYdCgEhAFBQUFBQUFBQUFhUGDSkAUFBQUFBQUFBQUFAYNKgFRUFBQUFBQUFBQUBg0qAREQUFBQUFBQUFBQWHQoBIQBQUFBQUFBQUFBYVBg0pAFBQUFBQUFBQUFBQGDSoBUVBQUFBQUFBQUFAYNKgEREFBQUFBQUFBQUFh0KASEAUFBQUFBQUFBQWFQYNKQBQUFBQUFBQUFBQUBg0qAVFQUFBQUFBQUFBQGDSoBERBQUFBQUFBQUFBYdCgEhAFBQUFBQUFBQUFhUGDSkAUFBQUFBQUFBQUFAYNKgFRUFBQUFBQUFBQUBg0qAREQUFBQUFBQUFBQWHQoBIQBQUFBQUFBQUFBYVBg0pAFBQUFBQUFBQUFBQGDSoBUVBQUFBQUFBQUFAYNKgEREFBQUFBQUFBQUFh0KASEAUFBQUFBQUFBQWFQYNKQBQUFBQUFBQUFBQUBg0qAVFQUFBQUFBQUFBQGDSoBERBQUFBQUFBQUFBYdCgEhAFBQUFBQUFBQUFhUGDSkAUFBQUFBQUFBQUFAYNKgFRUFBQUFBQUFBQUBg0qAREQUFBQUFBQUFBQWHQoBIQBQUFBQUFBQUFBYVBg0pAFBQUFBQUFBQUFBQGDSoBUVBQUFBQUFBQUFAYNKgEREFBQUFBQUFBQUFh0KASEAUFBQUFBQUFBQWFQYNKQBQUFBT+X/t1LAAAAAAwyN96FrvKIgBgIyAAAMBGQAAAgI2AAAAAGwEBAAA2AgIAAGwEBAAA2AgIAACwERAAAGAjIAAAwEZAAACAjYAAAAAbAQEAADYCAgAAbAQEAADYCAgAALAREAAAYCMgAADARkAAAICNgAAAABsBAQAANgICAABsBAQAANgICAAAsBEQAABgIyAAAMBGQAAAgI2AAAAAGwEBAAA2AgIAAGwEBAAA2AgIAACwERAAAGATvCwN+WgWcfgAAAAASUVORK5CYII=\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pois = (std**2/flat).clip(0,2)\n",
    "pois[numpy.where(mask)] = numpy.NAN\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow(pois, **mpl)\n",
    "ax.set_title(\"Histogram of std²/median values (masked)\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "normalized = grid/flat\n",
    "normalized[numpy.where(mask)] = numpy.NaN\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow(normalized, **mpl)\n",
    "ax.set_ylim(1100,1400)\n",
    "ax.set_xlim(1000,1300)\n",
    "ax.set_title(\"Zoom on one chip\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see we have between 8 and 16 grid spots per sub-module. This is enough as 3 are needed to localize precisely the position of the chip.\n",
    "\n",
    "## Grid spot position measurement.\n",
    "\n",
    "Let's measure the position of the grid spots precisely. For this we perform a convolution with a kernel which looks like the spot itself. By zooming onto one spot, it is roughly 10 pixels wide, the kernel needs to be of odd size. The fade-out function is tuned to set precisely the spot diameter.\n",
    "\n",
    "The masked values have been set to NaN, this ensures any spot close to a masked region get discarded automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Integral of the kernel:  78.56685275622786\n"
     ]
    },
    {
     "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",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
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       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
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       "                    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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Definition of the convolution kernel\n",
    "ksize = 11\n",
    "y,x = numpy.ogrid[-(ksize-1)//2:ksize//2+1,-(ksize-1)//2:ksize//2+1]\n",
    "d = numpy.sqrt(y*y+x*x)\n",
    "\n",
    "#Fade out curve definition\n",
    "fadeout = lambda x: 1/(1+numpy.exp(5*(x-5)))\n",
    "\n",
    "kernel = fadeout(d)\n",
    "mini=kernel.sum()\n",
    "print(\"Integral of the kernel: \", mini)\n",
    "\n",
    "fig,ax = subplots(1,3, figsize=(8,4))\n",
    "ax[0].imshow(d)\n",
    "ax[0].set_title(\"Distance array\")\n",
    "\n",
    "ax[1].plot(numpy.linspace(0,8,100),fadeout(numpy.linspace(0,8,100)))\n",
    "ax[1].set_title(\"fade-out curve\")\n",
    "\n",
    "ax[2].imshow(kernel)\n",
    "ax[2].set_title(\"Convolution kernel\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "smooth = convolve(normalized, kernel, mode=\"constant\", cval=0)/mini\n",
    "fig,ax = subplots(1,2, figsize=(8,4))\n",
    "ax[0].imshow(normalized)\n",
    "ax[0].set_ylim(1100,1400)\n",
    "ax[0].set_xlim(1000,1300)\n",
    "ax[1].imshow(smooth)\n",
    "ax[1].set_ylim(1100,1400)\n",
    "ax[1].set_xlim(1000,1300)\n",
    "\n",
    "ax[0].set_title(\"Grid (zoomed)\")\n",
    "ax[1].set_title(\"Smoothed grid\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate a mask with all pixels close to any gap is discared\n",
    "#big_mask = numpy.isnan(my_smooth)\n",
    "#big_mask = binary_dilation(mask, iterations=ksize//2+2) #even a bit larger\n",
    "big_mask = binary_dilation(mask, iterations=ksize) #Extremely conservative !"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Peak position measurement\n",
    "\n",
    "The center of spot is now easily measured by segmenting out the image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of region segmented: 661404\n",
      "Number of large enough regions : 4043\n"
     ]
    }
   ],
   "source": [
    "iw = InverseWatershed(smooth)\n",
    "iw.init()\n",
    "iw.merge_singleton()\n",
    "all_regions = set(iw.regions.values())\n",
    "\n",
    "regions = [i for i in all_regions if i.size>mini]\n",
    "\n",
    "print(\"Number of region segmented: %s\"%len(all_regions))\n",
    "print(\"Number of large enough regions : %s\"%len(regions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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>"
      ]
     },
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     "output_type": "display_data"
    },
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\" 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       "        0.53545503, 0.54254253, 0.54963002, 0.55671751, 0.56380501,\n",
       "        0.5708925 , 0.57797999, 0.58506749, 0.59215498, 0.59924248,\n",
       "        0.60632997, 0.61341746, 0.62050496, 0.62759245, 0.63467994,\n",
       "        0.64176744, 0.64885493, 0.65594242, 0.66302992, 0.67011741,\n",
       "        0.6772049 , 0.6842924 , 0.69137989, 0.69846738, 0.70555488,\n",
       "        0.71264237]),\n",
       " <BarContainer object of 100 artists>)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Histogram of peak height:\n",
    "s = numpy.array([i.maxi for i in regions])\n",
    "\n",
    "fig, ax = subplots()\n",
    "ax.hist(s, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of remaining peaks with I>0.5: 804\n"
     ]
    }
   ],
   "source": [
    "#Sieve-out for peak intensity\n",
    "int_mini = 0.5\n",
    "\n",
    "peaks = [(i.index//width, i.index%width) for i in regions if (i.maxi)>int_mini and \n",
    "                             not big_mask[(i.index//width, i.index%width)]]\n",
    "print(\"Number of remaining peaks with I>%s: %s\"%(int_mini, len(peaks)))\n",
    "\n",
    "peaks_raw = numpy.array(peaks)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "About 800 spots were found as valid out of a maximum of 1024 (64 chips with 16 spots per chip)\n",
    "\n",
    "Those spot positions are interpolated using a second order taylor expansion in the region around the maximum value of the smoothed image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Use a bilinear interpolator to localize/refine the maxima\n",
    "bl = Bilinear(smooth)\n",
    "ref_peaks = [bl.local_maxi(p) for p in peaks]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Refined peak coordinate: [(1849.8662119656801, 988.3285617828369), (1780.0930171236396, 114.93192630261183), (1781.5487900078297, 652.5473097264767), (1781.8086816519499, 719.7614358514547), (1782.0510528832674, 786.9847892848775), (1782.2430633455515, 854.1485713273287), (1782.4817058444023, 921.467636436224), (1782.6218681633472, 988.386855006218), (1783.066966727376, 1055.5694026947021), (1783.2517661750317, 1122.8249076157808)] ...\n"
     ]
    }
   ],
   "source": [
    "#Overlay raw peak coordinate and refined peak positions\n",
    "fig, ax = subplots(figsize=(8,8))\n",
    "ax.imshow(normalized, **mpl)\n",
    "peaks_ref = numpy.array(ref_peaks)\n",
    "ax.plot(peaks_raw[:,1], peaks_raw[:, 0], \".r\")\n",
    "ax.plot(peaks_ref[:,1],peaks_ref[:, 0], \".b\")\n",
    "ax.set_title(\"Extracted peak position (red: raw, blue: refined)\")\n",
    "print(\"Refined peak coordinate:\", ref_peaks[:10], \"...\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this stage we have about 800 peaks (with sub-pixel precision) which are visually distributed on all modules and on all chips.\n",
    "We could have expected 16*64=1024 hence most of the spots were properly located.\n",
    "\n",
    "Let's assign each peak to a module identifier. This allows to print out the number of peaks per module:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "64 chips have been labeled\n"
     ]
    }
   ],
   "source": [
    "#Module identification\n",
    "mid, cnt = label(numpy.isfinite(normalized), structure=numpy.ones((3,3), dtype=int))\n",
    "print(cnt, \"chips have been labeled\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Fill the gaps in module identification array\n",
    "\n",
    "#From http://stackoverflow.com/questions/3662361/fill-in-missing-values-with-nearest-neighbour-in-python-numpy-masked-arrays\n",
    "def fill(data, invalid=None):\n",
    "    \"\"\"\n",
    "    Replace the value of invalid 'data' cells (indicated by 'invalid') \n",
    "    by the value of the nearest valid data cell\n",
    "\n",
    "    Input:\n",
    "        data:    numpy array of any dimension\n",
    "        invalid: a binary array of same shape as 'data'. True cells set where data\n",
    "                 value should be replaced.\n",
    "                 If None (default), use: invalid  = np.isnan(data)\n",
    "\n",
    "    Output: \n",
    "        Return a filled array. \n",
    "    \"\"\"\n",
    "\n",
    "    if invalid is None: \n",
    "        invalid = numpy.isnan(data)\n",
    "\n",
    "    ind = distance_transform_edt(invalid, return_distances=False, return_indices=True)\n",
    "    return data[tuple(ind)]\n",
    "\n",
    "filled_mid = fill(mid, invalid=mid==0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = subplots(1, 2, figsize=(10,5))\n",
    "ax[0].imshow(mid, **mpl)\n",
    "ax[0].set_title(\"Chip identification number\")\n",
    "ax[1].imshow(filled_mid, **mpl)\n",
    "ax[1].set_title(\"Filled-gaps version\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of keypoint per chip:\n",
      "Chip id:  1 \t Number of spots: 12\n",
      "Chip id:  2 \t Number of spots: 12\n",
      "Chip id:  3 \t Number of spots: 12\n",
      "Chip id:  4 \t Number of spots: 16\n",
      "Chip id:  5 \t Number of spots: 16\n",
      "Chip id:  6 \t Number of spots: 16\n",
      "Chip id:  7 \t Number of spots: 12\n",
      "Chip id:  8 \t Number of spots: 12\n",
      "Chip id:  9 \t Number of spots:  9\n",
      "Chip id: 10 \t Number of spots:  9\n",
      "Chip id: 11 \t Number of spots:  9\n",
      "Chip id: 12 \t Number of spots: 12\n",
      "Chip id: 13 \t Number of spots: 12\n",
      "Chip id: 14 \t Number of spots: 11\n",
      "Chip id: 15 \t Number of spots:  9\n",
      "Chip id: 16 \t Number of spots:  9\n",
      "Chip id: 17 \t Number of spots: 12\n",
      "Chip id: 18 \t Number of spots: 12\n",
      "Chip id: 19 \t Number of spots: 12\n",
      "Chip id: 20 \t Number of spots: 16\n",
      "Chip id: 21 \t Number of spots: 15\n",
      "Chip id: 22 \t Number of spots: 16\n",
      "Chip id: 23 \t Number of spots: 15\n",
      "Chip id: 24 \t Number of spots: 12\n",
      "Chip id: 25 \t Number of spots: 12\n",
      "Chip id: 26 \t Number of spots: 12\n",
      "Chip id: 27 \t Number of spots: 12\n",
      "Chip id: 28 \t Number of spots: 16\n",
      "Chip id: 29 \t Number of spots: 16\n",
      "Chip id: 30 \t Number of spots: 16\n",
      "Chip id: 31 \t Number of spots: 16\n",
      "Chip id: 32 \t Number of spots: 12\n",
      "Chip id: 33 \t Number of spots:  8\n",
      "Chip id: 34 \t Number of spots:  9\n",
      "Chip id: 35 \t Number of spots:  8\n",
      "Chip id: 36 \t Number of spots: 14\n",
      "Chip id: 37 \t Number of spots: 16\n",
      "Chip id: 38 \t Number of spots: 16\n",
      "Chip id: 39 \t Number of spots: 16\n",
      "Chip id: 40 \t Number of spots: 15\n",
      "Chip id: 41 \t Number of spots: 10\n",
      "Chip id: 42 \t Number of spots: 11\n",
      "Chip id: 43 \t Number of spots: 12\n",
      "Chip id: 44 \t Number of spots: 16\n",
      "Chip id: 45 \t Number of spots: 16\n",
      "Chip id: 46 \t Number of spots: 16\n",
      "Chip id: 47 \t Number of spots: 15\n",
      "Chip id: 48 \t Number of spots: 16\n",
      "Chip id: 49 \t Number of spots:  9\n",
      "Chip id: 50 \t Number of spots:  9\n",
      "Chip id: 51 \t Number of spots:  9\n",
      "Chip id: 52 \t Number of spots: 12\n",
      "Chip id: 53 \t Number of spots: 12\n",
      "Chip id: 54 \t Number of spots: 11\n",
      "Chip id: 55 \t Number of spots: 12\n",
      "Chip id: 56 \t Number of spots: 12\n",
      "Chip id: 57 \t Number of spots:  9\n",
      "Chip id: 58 \t Number of spots:  9\n",
      "Chip id: 59 \t Number of spots:  9\n",
      "Chip id: 60 \t Number of spots: 12\n",
      "Chip id: 61 \t Number of spots: 12\n",
      "Chip id: 62 \t Number of spots: 12\n",
      "Chip id: 63 \t Number of spots: 15\n",
      "Chip id: 64 \t Number of spots: 16\n"
     ]
    }
   ],
   "source": [
    "yxi = numpy.array([i+(mid[round(i[0]),round(i[1])],) \n",
    "                   for i in ref_peaks], dtype=dt)\n",
    "print(\"Number of keypoint per chip:\")\n",
    "for i in range(1, cnt+1):\n",
    "    print(f\"Chip id: {i:2d} \\t Number of spots: {(yxi[:]['i'] == i).sum():2d}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Grid assignment\n",
    "\n",
    "The calibration is performed using a regular grid, the idea is to assign to each peak of coordinates (x,y) the integer value (X, Y) which correspond to the grid corrdinate system.\n",
    "\n",
    "The first step is to measure the grid pitch which correspond to the distance (in pixels) from one peak to the next. This is easily obtained from a pair-wise distribution function.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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": [
    "# pairwise distance calculation using scipy.spatial.distance_matrix\n",
    "\n",
    "dist = distance_matrix(peaks_ref, peaks_ref)\n",
    "\n",
    "fig, ax = subplots()\n",
    "ax.hist(dist.ravel(), 200, range=(0,200))\n",
    "ax.set_title(\"Pair-wise distribution function\")\n",
    "ax.set_xlabel(\"Distance (pixel)\")\n",
    "ax.set_ylabel(\"Occurances\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The histogram of the pair-distribution function has a first peak at 0 and the second peak between 66 and 67.\n",
    "The value of the step size is taken as the average of this second peak in the histogram as it correspond to the first neighbour distance.\n",
    "\n",
    "Two other parameters correspond to the offset, in pixels, for the grid index (X,Y) = (0,0). The easiest is to measure the smallest x and y for the first chip.\n",
    "\n",
    "The grid looks pretty well aligned with the detector, so we will not take into account the rotation of the grid with the detector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average step size 67.20312873609967 ± 0.12603174907696846  pixels, condidering  2770 paires\n"
     ]
    }
   ],
   "source": [
    "#from pair-wise distribution histogram\n",
    "valid_pairs = dist[numpy.logical_and(60<dist, dist<70)]\n",
    "step = valid_pairs.mean()\n",
    "print(\"Average step size\", step, \"±\", valid_pairs.std(), \" pixels, condidering \", valid_pairs.size, \"paires\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average step size 67.20212525166619 ± 0.11948927150151667  pixels, condidering  2290 paires\n"
     ]
    }
   ],
   "source": [
    "#Refinement of the step size when considering only intra-chip distances.\n",
    "distances = []\n",
    "for i in range(1, cnt+1):\n",
    "    locale = yxi[yxi[:][\"i\"] == i]\n",
    "    xy = tmp = numpy.vstack((locale[\"x\"], locale[\"y\"])).T\n",
    "    ldist = distance_matrix(tmp, tmp)\n",
    "    distances.append(ldist[numpy.logical_and(60<ldist, ldist<70)])\n",
    "valid_pairs = numpy.concatenate(distances)\n",
    "step = valid_pairs.mean()\n",
    "print(\"Average step size\", step, \"±\", valid_pairs.std(), \" pixels, condidering \", valid_pairs.size, \"paires\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is interesting to note the standard deviation (0.12) corresponds to the precision of our measurement. \n",
    "\n",
    "Any tweaking when defining the kernel prior to the convolution should be checked against this error.\n",
    "\n",
    "Finally, it will not be possible to calibrate with a precision better than 0.12 pixel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "offset for the first spot:  51.99926513293758 32.647715866565704\n"
     ]
    }
   ],
   "source": [
    "#work with the first module and fit the peak positions\n",
    "first = yxi[yxi[:][\"i\"] == 1]\n",
    "y_min = first[:][\"y\"].min()\n",
    "x_min = first[:][\"x\"].min()\n",
    "print(\"offset for the first spot: \", x_min, y_min)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The grid looks very well aligned with the axes which makes this step easier but nothing garanties it is perfect, so the rotation of the grid has to be measured as well.\n",
    "We will use Kabsch's algoritm for this: https://en.wikipedia.org/wiki/Kabsch_algorithm\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 443 µs, sys: 30 µs, total: 473 µs\n",
      "Wall time: 447 µs\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Alignment(points=array([[ 52.21972564,  99.72317216],\n",
       "       [119.16605393,  99.82767768],\n",
       "       [186.46198903,  99.9937887 ],\n",
       "       [ 51.78194341,  32.47353632],\n",
       "       [119.17009389,  32.68479293],\n",
       "       [186.48768901,  32.82819913],\n",
       "       [119.2490204 , 234.25738509],\n",
       "       [ 51.92672117, 234.31193451],\n",
       "       [186.78477529, 234.17332045],\n",
       "       [ 51.96370067, 167.07745319],\n",
       "       [119.12344307, 167.02715893],\n",
       "       [186.0815291 , 167.03242584]]), RMSD=0.2011512982256994, rotation=0.1268046482418138, center_ref=array([119.20139038, 133.45090374]), center_set=array([119.49699086, 133.7740458 ]), matrix=array([[ 0.99999755, -0.00221316],\n",
       "       [ 0.00221316,  0.99999755]]))"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def kabsch(P, R):\n",
    "    \"Align P on R\"\n",
    "    P = numpy.ascontiguousarray(P)\n",
    "    R = numpy.ascontiguousarray(R)\n",
    "    size = P.shape[0]\n",
    "    assert R.shape[0] == size\n",
    "    centroid_P = P.mean(axis=0)\n",
    "    centroid_R = R.mean(axis=0)\n",
    "    centered_P = P - centroid_P\n",
    "    centered_R = R - centroid_R\n",
    "    C = numpy.dot(centered_P.T, centered_R)\n",
    "    V, S, W = numpy.linalg.svd(C)\n",
    "    d = (numpy.linalg.det(V) * numpy.linalg.det(W)) < 0.0\n",
    "    if d:\n",
    "        S[-1] = -S[-1]\n",
    "        V[:, -1] = -V[:, -1]\n",
    "    # Create Rotation matrix U\n",
    "    U = numpy.dot(V, W)\n",
    "    rotated_P = numpy.dot(centered_P, U)\n",
    "    aligned_P = rotated_P + centroid_R\n",
    "    rmsd = numpy.sqrt(((centered_R - rotated_P)**2).sum()/size)\n",
    "    angle = 180*numpy.arctan2(U[1,0],U[0,0])/numpy.pi\n",
    "    return Alignment(aligned_P, rmsd, angle, centroid_R, centroid_P, U)\n",
    "\n",
    "\n",
    "reference_1 = numpy.empty((first.size, 2))\n",
    "measured_1 = numpy.empty((first.size, 2))\n",
    "measured_1[:, 0] = first[:][\"x\"]\n",
    "measured_1[:, 1] = first[:][\"y\"]\n",
    "reference_1[:, 0] = numpy.round((first[:][\"x\"]-x_min)/step)*step+x_min\n",
    "reference_1[:, 1] = numpy.round((first[:][\"y\"]-y_min)/step)*step+y_min\n",
    "%time kabsch(measured_1, reference_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Chip: 01 \t RMSD: 0.2012 \t Angle: 0.1268°\t Displacement: [-0.29560048 -0.32314206]\n",
      "Chip: 02 \t RMSD: 0.1510 \t Angle: 0.1656°\t Displacement: [-0.38391344 -1.22423316]\n",
      "Chip: 03 \t RMSD: 0.1083 \t Angle: 0.2022°\t Displacement: [-0.23829583 -2.22024286]\n",
      "Chip: 04 \t RMSD: 0.1306 \t Angle: 0.1836°\t Displacement: [-0.21810019 -2.90728647]\n",
      "Chip: 05 \t RMSD: 0.1365 \t Angle: 0.1232°\t Displacement: [ 0.03213908 -3.53275582]\n",
      "Chip: 06 \t RMSD: 0.1334 \t Angle: 0.1232°\t Displacement: [-0.06032228 -4.13097843]\n",
      "Chip: 07 \t RMSD: 0.1475 \t Angle: 0.1536°\t Displacement: [-0.17562643 -4.64086857]\n",
      "Chip: 08 \t RMSD: 0.1410 \t Angle: 0.1508°\t Displacement: [-0.34166363 -5.26099384]\n",
      "Chip: 09 \t RMSD: 0.1927 \t Angle: 0.2098°\t Displacement: [ 0.49720431 -0.35965719]\n",
      "Chip: 10 \t RMSD: 0.2274 \t Angle: 0.1516°\t Displacement: [ 0.43206139 -1.2323675 ]\n",
      "Chip: 11 \t RMSD: 0.1829 \t Angle: 0.1413°\t Displacement: [ 0.48729789 -2.22309062]\n",
      "Chip: 12 \t RMSD: 0.1436 \t Angle: 0.1747°\t Displacement: [ 0.50151207 -2.97743933]\n",
      "Chip: 13 \t RMSD: 0.1093 \t Angle: 0.1599°\t Displacement: [ 0.68731817 -3.60915833]\n",
      "Chip: 14 \t RMSD: 0.1450 \t Angle: 0.1404°\t Displacement: [ 0.51759231 -4.22358055]\n",
      "Chip: 15 \t RMSD: 0.1604 \t Angle: 0.1154°\t Displacement: [ 0.50287889 -4.72060995]\n",
      "Chip: 16 \t RMSD: 0.1761 \t Angle: 0.1194°\t Displacement: [ 0.39368985 -5.35868294]\n",
      "Chip: 17 \t RMSD: 0.1366 \t Angle: 0.1373°\t Displacement: [ 1.00461638 -0.86454067]\n",
      "Chip: 18 \t RMSD: 0.1178 \t Angle: 0.1796°\t Displacement: [ 1.05850903 -1.54616142]\n",
      "Chip: 19 \t RMSD: 0.1333 \t Angle: 0.1285°\t Displacement: [ 1.57215237 -2.12885442]\n",
      "Chip: 20 \t RMSD: 0.0857 \t Angle: 0.1542°\t Displacement: [ 1.66369684 -2.71096796]\n",
      "Chip: 21 \t RMSD: 0.1137 \t Angle: 0.0904°\t Displacement: [ 1.47368641 -3.4015823 ]\n",
      "Chip: 22 \t RMSD: 0.1381 \t Angle: 0.0841°\t Displacement: [ 1.41603634 -3.75261809]\n",
      "Chip: 23 \t RMSD: 0.1437 \t Angle: 0.1674°\t Displacement: [ 1.10109899 -4.73906987]\n",
      "Chip: 24 \t RMSD: 0.1398 \t Angle: 0.1837°\t Displacement: [ 0.97095115 -5.37045418]\n",
      "Chip: 25 \t RMSD: 0.1166 \t Angle: 0.1324°\t Displacement: [ 1.68764075 -0.85490263]\n",
      "Chip: 26 \t RMSD: 0.1177 \t Angle: 0.1185°\t Displacement: [ 1.69238379 -1.52111382]\n",
      "Chip: 27 \t RMSD: 0.1055 \t Angle: 0.1307°\t Displacement: [ 2.26789772 -2.11232468]\n",
      "Chip: 28 \t RMSD: 0.0909 \t Angle: 0.1354°\t Displacement: [ 2.29945194 -2.70842143]\n",
      "Chip: 29 \t RMSD: 0.1050 \t Angle: 0.0733°\t Displacement: [ 1.88217578 -3.4212234 ]\n",
      "Chip: 30 \t RMSD: 0.0839 \t Angle: 0.0652°\t Displacement: [ 1.80781409 -3.80468263]\n",
      "Chip: 31 \t RMSD: 0.1050 \t Angle: 0.1635°\t Displacement: [ 1.84852818 -4.82808066]\n",
      "Chip: 32 \t RMSD: 0.1269 \t Angle: 0.1861°\t Displacement: [ 1.73064256 -5.46682588]\n",
      "Chip: 33 \t RMSD: 0.0862 \t Angle: 0.1965°\t Displacement: [ 2.37680974 -0.34603374]\n",
      "Chip: 34 \t RMSD: 0.1233 \t Angle: 0.1742°\t Displacement: [ 2.38897066 -1.13349797]\n",
      "Chip: 35 \t RMSD: 0.0483 \t Angle: 0.1682°\t Displacement: [ 2.80260071 -1.87052911]\n",
      "Chip: 36 \t RMSD: 0.0919 \t Angle: 0.1821°\t Displacement: [ 2.83955264 -2.65322456]\n",
      "Chip: 37 \t RMSD: 0.0837 \t Angle: 0.1706°\t Displacement: [ 2.82376951 -3.21370844]\n",
      "Chip: 38 \t RMSD: 0.0725 \t Angle: 0.1691°\t Displacement: [ 2.82901261 -4.04532675]\n",
      "Chip: 39 \t RMSD: 0.0955 \t Angle: 0.1839°\t Displacement: [ 2.81983799 -4.89687442]\n",
      "Chip: 40 \t RMSD: 0.2603 \t Angle: 0.2233°\t Displacement: [ 2.80277945 -5.75942135]\n",
      "Chip: 41 \t RMSD: 0.0663 \t Angle: 0.1500°\t Displacement: [ 2.94866733 -0.24353623]\n",
      "Chip: 42 \t RMSD: 0.0657 \t Angle: 0.1755°\t Displacement: [ 3.08040408 -1.08261991]\n",
      "Chip: 43 \t RMSD: 0.0795 \t Angle: 0.1534°\t Displacement: [ 3.54815692 -1.83588844]\n",
      "Chip: 44 \t RMSD: 0.0957 \t Angle: 0.1752°\t Displacement: [ 3.63888685 -2.56507256]\n",
      "Chip: 45 \t RMSD: 0.0908 \t Angle: 0.1744°\t Displacement: [ 3.68243121 -3.18435017]\n",
      "Chip: 46 \t RMSD: 0.0824 \t Angle: 0.1811°\t Displacement: [ 3.67889941 -4.0305737 ]\n",
      "Chip: 47 \t RMSD: 0.0923 \t Angle: 0.2053°\t Displacement: [ 3.7640197  -4.89743891]\n",
      "Chip: 48 \t RMSD: 0.1995 \t Angle: 0.1995°\t Displacement: [ 3.7140228  -5.81118489]\n",
      "Chip: 49 \t RMSD: 0.0507 \t Angle: 0.1030°\t Displacement: [ 4.24836704 -0.15775402]\n",
      "Chip: 50 \t RMSD: 0.1115 \t Angle: 0.1149°\t Displacement: [ 4.34989515 -0.55983273]\n",
      "Chip: 51 \t RMSD: 0.1024 \t Angle: 0.1895°\t Displacement: [ 4.1699786 -1.6241195]\n",
      "Chip: 52 \t RMSD: 0.0841 \t Angle: 0.1909°\t Displacement: [ 4.2606929  -2.44430756]\n",
      "Chip: 53 \t RMSD: 0.0557 \t Angle: 0.1228°\t Displacement: [ 4.43171405 -3.41100148]\n",
      "Chip: 54 \t RMSD: 0.0763 \t Angle: 0.1238°\t Displacement: [ 4.43648478 -3.94109092]\n",
      "Chip: 55 \t RMSD: 0.0687 \t Angle: 0.2055°\t Displacement: [ 4.31061586 -4.46464599]\n",
      "Chip: 56 \t RMSD: 0.1348 \t Angle: 0.1873°\t Displacement: [ 4.24341779 -5.29907885]\n",
      "Chip: 57 \t RMSD: 0.1909 \t Angle: 0.0670°\t Displacement: [4.59114254 0.05261615]\n",
      "Chip: 58 \t RMSD: 0.0919 \t Angle: 0.0797°\t Displacement: [ 4.70254294 -0.42917319]\n",
      "Chip: 59 \t RMSD: 0.0816 \t Angle: 0.2176°\t Displacement: [ 5.07864071 -1.50543293]\n",
      "Chip: 60 \t RMSD: 0.0880 \t Angle: 0.1947°\t Displacement: [ 5.12083489 -2.29531844]\n",
      "Chip: 61 \t RMSD: 0.0921 \t Angle: 0.1047°\t Displacement: [ 4.89500604 -3.27207393]\n",
      "Chip: 62 \t RMSD: 0.0813 \t Angle: 0.0870°\t Displacement: [ 4.96782182 -3.80671605]\n",
      "Chip: 63 \t RMSD: 0.0884 \t Angle: 0.1909°\t Displacement: [ 5.07659518 -4.33725322]\n",
      "Chip: 64 \t RMSD: 0.0915 \t Angle: 0.1956°\t Displacement: [ 5.02915659 -5.17905991]\n"
     ]
    }
   ],
   "source": [
    "# Print alignment info for  all chips:\n",
    "kabsch_results = {}\n",
    "raw_distances = []\n",
    "distances = []\n",
    "for i in range(1, cnt+1):\n",
    "    local = yxi[yxi[:][\"i\"] == i]\n",
    "    reference = numpy.empty((local.size, 2))\n",
    "    measured = numpy.empty((local.size, 2))\n",
    "    measured[:, 0] = local[:][\"x\"]\n",
    "    measured[:, 1] = local[:][\"y\"]\n",
    "    reference[:, 0] = numpy.round((local[:][\"x\"]-x_min)/step)*step+x_min\n",
    "    reference[:, 1] = numpy.round((local[:][\"y\"]-y_min)/step)*step+y_min\n",
    "    raw_distances.append(numpy.sqrt(((reference-measured)**2).sum(axis=-1)))\n",
    "    res = kabsch_results[i] = kabsch(measured, reference)\n",
    "    print(f\"Chip: {i:02d} \\t RMSD: {res.RMSD:.4f} \\t Angle: {res.rotation:.4f}°\\t Displacement: {res.center_ref-res.center_set}\")\n",
    "    distances.append(numpy.sqrt(((reference-res.points)**2).sum(axis=-1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ndistances = numpy.concatenate(distances)\n",
    "nraw_distances = numpy.concatenate(raw_distances)\n",
    "\n",
    "fig, ax = subplots()\n",
    "ax.hist(nraw_distances, bins=100, label=\"raw positions\")\n",
    "ax.hist(ndistances, bins=100, label=\"refined positions\")\n",
    "ax.set_title(\"Histogram of displacement\")\n",
    "ax.set_xlabel(\"Distance in pixels\")\n",
    "ax.set_ylabel(\"Number of spots\")\n",
    "ax.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reconstruction of the pixel position\n",
    "\n",
    "The pixel position can be obtained from the standard Pilatus detector. Each module is then displaced according to the fitted values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.47 s, sys: 116 ms, total: 1.58 s\n",
      "Wall time: 1.58 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "pixel_coord = pyFAI.detector_factory(\"Eiger2CdTe_4M\").get_pixel_corners().astype(numpy.float64)\n",
    "pixel_coord_raw = pixel_coord.copy()\n",
    "\n",
    "for module in range(1, cnt+1):\n",
    "    # Extract the pixel corners for one module\n",
    "    module_idx = numpy.where(filled_mid  == module)\n",
    "    one_module = pixel_coord_raw[module_idx]\n",
    "\n",
    "\n",
    "    #retrieve the fitted values\n",
    "    res = kabsch_results[module]\n",
    "\n",
    "    #z = one_module[...,0]\n",
    "    y = one_module[...,1].ravel()/eiger2.pixel1\n",
    "    x = one_module[...,2].ravel()/eiger2.pixel2\n",
    "    xy_initial = numpy.vstack((x, y)).T\n",
    "    xy_centered = xy_initial - res.center_set\n",
    "    xy_rotated = numpy.dot(xy_centered, res.matrix)\n",
    "    xy_aligned = xy_rotated + res.center_ref\n",
    "    \n",
    "    one_module[...,1] = (xy_aligned[:,1] * eiger2.pixel1).reshape(one_module.shape[:-1])\n",
    "    one_module[...,2] = (xy_aligned[:,0] * eiger2.pixel2).reshape(one_module.shape[:-1])\n",
    "    #Update the array\n",
    "    pixel_coord[module_idx] = one_module\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# displacement for every pixel corner (before/after global displacement):\n",
    "displ_refined = numpy.sqrt(((pixel_coord - pixel_coord_raw)**2).sum(axis=-1))/eiger2.pixel1\n",
    "\n",
    "res = kabsch(pixel_coord.reshape((-1, 3)), pixel_coord_raw.reshape((-1, 3)))\n",
    "new_pixel_coord = res.points.reshape(pixel_coord_raw.shape)\n",
    "displ_aligned = numpy.sqrt(((new_pixel_coord - pixel_coord_raw)**2).sum(axis=-1))/eiger2.pixel1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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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CEtkZKT0odOwYUPZdTnaD4X3339f5xhTpkyBEEIajSgfAO/fv4+wsDDUq1cPH330EX766SccPHgQ+/fvl/1TXbx4EUIIzJw5s9LnbGVlpfc6C+2ifXzZ67nK0oaasqc69b2W77//fqXHsbS0lB6rvQawvPKvdXUDYKNGjWTvndaFCxd03o/qBsARI0borF+6dKlsNLiyaWC0H3Senp4oLCyUbWvcuHGlr92wYcNk9a4qAI4YMQJ16tSp9KaEWbNmycJrWR07dpSNbIaHh+sN1hW1GUDeAfzyyy+VPj8hBPbs2QPgn3alL5heuXIFEyZMgL+/P4QQcHBwwKBBg5Cbm1vp6wEATz31FFq3bg2gdKTIy8tL1sk+yjoaGgCLioqwYMECtGjRAhYWFrCyskKHDh0q/QILAAkJCRBCoE+fPtJd7ocOHcKwYcN0Psv0qej9NrSdDh8+HFZWVjqPv3v3bo0GwOo8TyF0R7sr4+/vLztTo/Xjjz9CCCFdZ1hZANSO5llbW+uEpk6dOlX6Wnbo0EEq+6AB8MCBA1J/tnHjRuzduxeHDh3C1KlTZX0OUNrvBAQEoH///gCAxYsXw8LCAllZWVKZit5XoPSzt+zrxQBYMxgAa1BVAVA7lD1r1ixpXWXzABYXF2P//v3StSHaU17GjABqr8dYvXq17HHaEQrtP1V+fr5BI4Cenp7o3LkzDh06pHe5dOmSrM4PGgCXLVsGIQQ2bdpU4bHKvgYPIwBWNQK4bNkyad2jHAHMycmBu7s7mjdvDpVKpXOavHXr1mjWrFmFr1vZD+pHNQKoDUvAPzcFlGdoAMzKyoIQpaPLFT1H7TWrhozSA6U3+3z88cewt7dHly5dKi1b9vlmZGTg+++/hxACP/74o7T9UdYxKCgIr776qk75pk2bVtjRX79+HV9//TUCAwPh6upa6V25vXr1QoMGDXS+AGg/p6pS0fttaDutaARQ217K/j+PGjUKnp6eOscaO3ZslQGwOs9TiNKbQAxl7Ajg7du3ERwcjCZNmsDJyUnnEppXX30Vbm5uFb6WZYPXgwbASZMmwcbGRudMi74ACADz5s2DSqVCTk4OgoKCdAJwVSOAZdu0Wq3WOTMAlF4iwQBoOAbAGmTINDBOTk6yBm7IRNB5eXkQQmDy5MkAqr4GsOwoVfkAeOTIEVmY1PrPf/6j8+HZoUMHuLi46L07WGvEiBHw9vau8toXYwPgmTNnYGVlhblz51Z6HMDwAHjz5k0IIWSnQCujDT6//fabbP3YsWMf2jWAjRo1ktbpC4DFxcUIDw+Hh4cHcnNzpWsvy1778/7778POzg6nT5+usi7VuQbwvffeq7CMNvCMHz9etl57/V7Z6weNDYAAEBgYiG7dulVab8DwcKX10ksvoV69elWWu379OmxsbPDWW2+hd+/e8PHxkV3r+ijr2KVLF50vKsePH4eVlVWVHb32mtyyN1WV9/LLL8uupQVKbwZzcHAwKgAa2k611wCWvY4N0H8NoPa6wrL/W4WFhdJoY1nl2351nueDBMCKrgF0dHSs8hrAqKgo2NnZ4ejRo9I1kh9++KG0fc2aNRBCYP/+/VXW5UED4BtvvAEHBwfZZQj5+fmoX7++3gB4/fp12Nvbo3379rJRTi3t5UBlnwfwT4grexNJUFCQzv/Sjh07IIR8JoctW7ZACPl1zvQPBsAaVH4i6J9//hkJCQmyiaB37twpe0z5ULJ06VL06dMHq1evxs6dO7F161b07t0bQpROCwHo3gWcmJiITZs24amnnoKVlZV0nUXZOmn/Ge/du4dGjRrB398f69atQ1JSEsaOHYsmTZrofHhq7wJu2LAhli9fjp07d2L9+vXo37+/NFqRk5MDf39/BAcHY8mSJdixYwd++OEHfPLJJ+jevbs0emVsAASAOXPmwMrKCqNGjcLmzZuxa9cubNy4EW+++SamTZsmlTM0AAKlH8RBQUHYtm2bzmhYedq7gD09PbF8+XJs27YN48ePh4WFhc7pn+oGwIruAi57d6e+ADh16lRYWlrKpiHp0aMHnJ2dpY709u3baNGiBXx9fbFgwQIkJydj27ZtWLFiBfr06SPrJKp7F/DIkSOxZcsWbNu2DfHx8fjoo4+kMiNHjoSFhQUmTpyIbdu24dNPP4W7uzv8/Pzw999/S+VqIgDu3LkTarUanTt3xrp167B7925s3rwZc+bMQe/evaVyFYWrvLw8tGjRAvPmzcN3332HXbt2Yd68ebCxscGAAQOqfD0AoH///tJ0SWVvcnnUddR2/mPGjEFKSgpWrlyJoKAgeHl56dwE8vbbb2PTpk3YvXs3/ve//yEgIAD+/v6VXv+4atUqaf87duzA6tWr0ahRI+ku3KpU9H4b2k7v37+PZ555Bra2toiPj0dycjJmzpwphbqyd6CePn0aKpUKzz//PH744QckJCQgPDwcDRo0qDIAVud5PkgALHsX8I8//iiNLJb9kqsvAGqvhy67LiYmBiqVSrpBrbi4GC+88AJcXV0xY8YM/Pjjj0hJScHq1asxZMgQJCYmyt6PBwmA2sDVu3dvbN++HevXr0fLli2l10ffZ+mYMWMgROlsEOW/IGnvAlapVJg+fTqSk5OxYMECODg46NwF/P7778PCwgLvvfceUlJS8NFHH0mjoWXfw9OnT0MIgZdeegk///wzDh06JPvsqe0YAGtQ+XmHrK2t4e7ujvDwcMyZM0fv3bTlQ0lqaip69eoFf39/qNVquLm5ITw8HFu2bJHKlJ0HcMaMGdKcYC1atJBCYvk6lf1nzMjIkL5puri4oE+fPjh//rze06EZGRno06cP3NzcYG1tjfr162Po0KGyf8YrV65g/PjxaNCgAVQqFVxdXdGyZUtMnTpVmoqkJgIgAHzzzTdo3749NBoN1Go1/P390bt3b1kAqk4ATElJQYsWLaBWq3W+Pepz7tw5DBgwAG5ublCpVAgKCsK8efN0PsyqGwDHjh2LJUuWoFGjRlCpVAgODsbatWtl5coHwO3bt8PS0lLnPbt69Srq16+Pp556Sroe8Pbt23j33XelOcG0c75NmjRJNjpSnXkAFy5ciJCQEGl/bdq0wXfffScrM3fuXDRp0gQqlQp169ZFVFRUhfMAlledAAiUXt7Qt29fuLu7Q6VSwdPTEx06dJCdmq+oXRUUFGD06NEIDQ2FRqOBra0tgoKCEBsba/Akxdu3b5f+90+cOKG3zKOoY0lJCT744AM0bNgQNjY2ePLJJ7Fz506dDnzBggVo27Yt6tatK/1vDx8+3KBfrYmPj0dAQADUajUee+wxrFixwqCzGUDF7zdgeDu9du0aXnvtNTg7O8POzg4RERHSdczl59LbunUrmjdvDltbWzRs2BD/7//9P4NvAjH0eT5IAOzevTs2bdqEpk2bwtraGgEBATqjX+UD4JEjR2Bra6tTz4KCArRs2RIBAQHSdGFFRUWYP3++NFeng4MDgoODMWrUKJw8eVJ6rDE3gaxatQpBQUFQq9Vo2LAh4uLisHLlygoD4K5duyDEPzdwlXf37l1MmTIF/v7+UKlU8PLywpgxY3TmASwsLMRbb70FPz8/2NraIjw8HIcPH9b7Hi5atAgNGjRAnTp19I6m1mYMgGaoso6RzE91Ow8i0rV27VoIIbB3715TV6VK1fmC+G+inTKJo3DKwABohhgA/10YAImqZ926dZg3bx6SkpKwfft2zJw5E46OjmjXrp2pq2aQ2hYAU1NT8cUXX8DGxgYTJkwwdXXo/zAAmiEGwH8XBkCi6vnuu+/QsmVLODk5wcrKCn5+fhg3bly15jI0pdoWAIUQsLOzQ+/evaWJn8n0GACJiIiIahkGQCIiIqJahgGQiIiIqJZhACQiIiKqZRgAiYiIiGoZBkAj3L9/HxcuXEBeXh5u3LjBhQsXLly4cDGDJS8vDxcuXNCZxL82YQA0woULF2S//MGFCxcuXLhwMZ+l/C8T1SYMgEbIy8uTGpCpv81w4cKFCxcuXAxbtAM4eXl5po4SJsMAaIQbN25ACIEbN8xj8lEiIiJi/w0wABqFDYiIiMj8sP9mADQKGxAREZH5Yf/NAGgUNiAiIiLzw/6bAdAobEBEZKiSkhLcu3cPd+/e5cKFy0Ne7t27h5KSkgr/H9l/MwAahQ2IiAxRWFiIs2fPIiMjgwsXLo9oOXv2LAoLC/X+T7L/ZgA0ChsQEVXl/v37yMrKwsmTJ5GXl4f8/HyTj45w4fJvXvLz85GXl4eTJ08iKytL72TP7L8ZAI3CBkREVbl79y4yMjJw584dU1eFqFa5c+cOMjIycPfuXZ1t7L8ZAI3CBkREVdEGQH2dEBE9PJX977H/ZgA0ChsQEVWFAZDINBgAK8cAaAQ2ICKqSm0MgCUlJYiOjoaLiwuEEPj9998RHh6OCRMmPPRjDxkyBC+++GKF2z///HM4OTkZfZzc3Fx06tQJdnZ2NbK/mhYbG4uwsDDp76pel38jBsDKMQAagQ2IiKpSWSfkP+X7R7o8Klu3boVKpcLevXuRm5uLoqIiXL16FTdv3nzox35UAfCtt95C06ZNceLECfz1119G76+mlQ+AeXl5uH79uglrVLMMeR8ZACvHAGgENiAiqsq/KQBWNKVGeR9//DHq169v9PEexKMKgK+88goGDx5s1D7u3btndD0qUj4A/tswABqPAdAIbEBEVBVzDoDh4eEYO3YsJk2aBDc3N7Rr1w4AcOzYMbzwwguwt7eHu7s7oqKicOXKFQClAUwIIS3+/v7SvsqeAvb398fs2bPx2muvwcHBAX5+fvj0009lx7948SL69u0LZ2dnuLq6omfPnjhz5oy0vbi4GJMmTYKTkxNcXV0xefJkDB482KAAuHnzZgQGBkKtVqNTp044f/68rNyWLVvwxBNPQK1Wo0GDBpg+fTqKioqkupd9jkOGDAEAnDt3Dj179oS9vT0cHR3Rp08f/Pnnn9I+taFs5cqVaNCgASwsLFBSUoK8vDxER0ejXr16cHR0RPv27XH48OFK35u33noLgYGBsLW1RYMGDfDuu+/KAmVVp4Bv3ryJAQMGwM7ODp6envjwww+r/R6dOXMGQghs3LgRzz77LGxsbPDkk0/i+PHjOHjwIFq2bAl7e3t06dIFly9fltV/1apVCA4OhlqtRlBQED755BOd/SYkJOD555+Hra0tQkNDsW/fPgDATz/9JHv9hRCIjY3VeY0YACvHAGgENiAiqoq5B0AHBwdMnjwZWVlZyMzMRE5ODurWrYt33nkHmZmZSEtLQ0REBNq3bw+g9FTjzJkz4evri9zcXKnj1xcuXF1d8cknn+DkyZOIi4uDpaUlMjMzAZRO4REYGIhhw4bhyJEjyMjIwIABAxAUFCSNRM6dOxdOTk7YtGkTMjIyMHz4cDg6OlYZAFUqFZ588kns27cPv/76K1q1aoW2bdtKZZKSkqDRaLB69WpkZ2dj+/btCAgIwPTp0wEAly9fRteuXdG3b1/k5uYiLy8PJSUlaNGiBZ599ln8+uuv2L9/P5544gmEh4dL+42NjZUCUVpaGv744w+UlJTgmWeeQY8ePXDo0CGcOHECb775Jtzc3HD16tUKn8esWbOwd+9enDlzBlu2bIGHhwfmzp0rO1ZlAXDEiBHw9/dHSkoK0tPT0atXLzg6OlbrPdIGteDgYCQlJSEjIwOtW7fGE088geeffx6//PIL0tLS0LhxY4wePVra7/Lly+Hl5YWEhAScPn0aCQkJcHV1xerVq3X2+/333+P48ePo3bs3/P39UVRUhMLCQixatAgajQa5ubnIzc3FrVu3dF4jBsDKMQAaQTENKFZj2uMTUYXMPQA2b95ctu69995D586dZesuXLgAIQSOHz8OAFi4cKE08ld2X+XDRVRUlPR3SUkJ3N3dsXTpUgDAypUrERQUJPs5r8LCQtja2mLbtm0AAC8vL8THx0vbi4qK4OvrW2UAFEJg//790rrMzEwIIXDgwAEAwHPPPYc5c+bIHvfll5wchIEAACAASURBVF/Cy8tL+vvFF1+URv4AYPv27ahTp45sJPHYsWMQQuDgwYMASkOZSqWSjYbt2LEDGo0GBQUFsuM1atRIZ0S0Mh988AFatmwp/V1ZALx58yZUKhW+/vpraXteXh7s7Oyq9R5pg9pnn30mlVm/fj2EENixY4e0Li4uDkFBQdLffn5+WLdunaz+s2bNQps2bSrcr/a11IZPngI2Xo0GwIsXL2LgwIFwdXWFra0twsLC8Ouvv0rbS0pKEBsbCy8vL9jY2CA8PBxHjx6V7aOgoAAxMTFwc3ODnZ0devTogQsXLsjKXLt2DVFRUdBoNNBoNIiKitK5uPXcuXOIjIyEnZ0d3NzcMG7cOJ3rV44cOYJ27drBxsYG3t7emDFjRqW/HVieYhoQAyCRYpl7ABwxYoRsXbdu3aBSqWBvby9bhBDYunUrAMMD4AcffCArExoaihkzZgAAXn/9ddSpU0fnOBYWFliyZAny8vIghMDu3btl+3jppZeqDIBWVlYoLi6WrXd2dpZGoOzs7GBjYyM7ro2NDYQQ0oTe5QPg4sWLERAQoHM8Z2dnfPHFFwBKQ1njxo1l2z/44ANYWlrqPE9LS0u89dZbFT6Pr7/+Gs888ww8PDxgb28PtVqNevXqSdsrC4CHDx+GEALnzp2T7bNFixbVeo+0QU0bcAFg586dEELIQu6qVavg4uICoHT0VAgBW1tb2fNVq9Vwd3evcL/Xrl2Tvd8MgMarsQB47do1+Pv7Y+jQoThw4ADOnDmDlJQUnDp1SioTHx8PR0dHJCQkID09Hf369YOXl5fszrDRo0fDx8cHycnJSEtLQ/v27REWFib7Z+3atStCQkKwb98+7Nu3DyEhIYiMjJS2FxcXIyQkBO3bt0daWhqSk5Ph7e2NmJgYqcyNGzfg4eGBV199Fenp6UhISICjoyPmz59v8HNWTANiACRSLHMPgOWnbunatStefvllnDx5Ume5ffs2AMMD4MKFC2VlwsLCpGu5Ro8ejVatWuk9Tl5entEBsPzPg5UNajY2Npg7d67eY2sfVz4ALlq0CA0aNNA5npOTE/73v/8B0H9jRnx8PHx8fPQeS3tdZXmpqamoU6cO3n//fem08cyZM2WBqLIA+Pvvv0MIoXPdY/Pmzav1HmmD2u+//y5t116fV3ZQpmxY+/PPPyGEwJo1a3Se7+nTpyvc7/Xr1yGEwE8//aSzz4owAFauxgLglClT8Oyzz1a4vaSkBJ6enrLh+oKCAjg5OWHZsmUASoegVSoVNmzYIJW5dOkSLC0tkZSUBADIyMjQGb5PTU2FEAJZWVkASqcgsLS0xKVLl6Qy69evh1qtlt7sJUuWwMnJSTbsHhcXB29vb4NHARXTgBgAiRTr3xYA//vf/yIoKEi6IUKfmgiAy5cvh4uLS6Wfr15eXrLr3oqKiuDn52fQKWDt6V4AyMrKkq1r27Ythg0bVuE+gOqdAj506BAA/QFQ+7iyN7dUZf78+WjYsKFs3fDhww0OgNpTwJs2bZK237hxA/b29g89AAKAj48PZs6cWeHzMyQArl27Fg4ODhXuA2AArEqNBcDHHnsMEydORO/evVGvXj00b94cy5cvl7ZnZ2dDCIG0tDTZ43r27CndSr9jxw4IIXDt2jVZmdDQUEybNg1A6XUh+lK/k5MTVq1aBaD0GpXQ0FDZdu3w8c6dOwEAgwYNQs+ePWVl0tLSIISQvoWUV1BQgBs3bkiL9roXkzcgBkAixfq3BcBLly6hXr166N27Nw4cOIDs7Gxs27YNr732mnSmpiYCoPYmkOeffx579uzB6dOnsWvXLowfP166LCg+Ph4uLi5ITExEZmYmoqOjDb4JpFWrVti/fz9+++03tGnTBq1bt5bKJCUlwcrKCrGxsTh69CgyMjKwYcMGTJ06VSpTPgBqbwJ57rnn8Ntvv+HAgQNo2bKlzk0g5QNgSUkJnn32WYSFhSEpKQlnzpzB3r17MXXqVCk4lvfNN9/AysoK69evx6lTp7B48WK4uroaHACB0ptAGjRogJ07d+Lo0aN45ZVX4OjoiIkTJ0plHlYAXLFiBWxtbbFo0SIcP34cR44cwapVq7BgwYIK91s+AO7duxdCCKSkpODKlSt6f2ubAbByNRYA1Wo11Go13nnnHaSlpWHZsmWwsbGRhtS1b1bZUTkAiI6Oli4oXrt2LaytrXX2HRERgZEjRwIAZs+ejcDAQJ0ygYGB0kW70dHRiIiI0CljbW0tXXgaERGB6Oho2fZLly5BCCHdal5ebGyszq3nimhADIBEivVvC4AAcOLECfTq1QvOzs6wtbVFcHAwJk6cKJ09qYkACJT+2sbgwYNRt25dqNVqNGzYENHR0dJnblFRESZMmACNRgNnZ2e88cYbBk8Dk5CQgIYNG8La2hodOnTA2bNnZeWSkpLQtm1b2NraQqPRoFWrVrJBjfIBEDB8Gpjybt68iXHjxsHb2xsqlQp+fn4YOHCgzinasiZPngw3Nzc4ODigX79+WLhwYbUCoL5pYFq1aoW3335bKvOwAiBQ2t83b94c1tbWcHFxQbt27ZCYmFjhfssHQKD0MgE3NzdOA/OAaiwAqlQq6Q4erXHjxknfqrQBMCcnR1ZmxIgR6NKlC4CKA2CnTp0watQoAKUBsEmTJjplGjdujLi4OADyUFm+juvXrwcgD5VaFy9ehBACqampep8jRwCJqLpq40/Bkfm5ffs2nJycZHfemjsGwMrVWACsX78+hg8fLlu3ZMkSeHt7A/h3nAIuTzENiAGQSLEYAEmJ0tLSsG7dOpw6dQq//fYbXnzxRTg5OVV444k5YgCsXI0FwP79++vcBDJx4kRpVFB7E0jZC3YLCwv13gSyceNGqUxOTo7em0DKXsC7f/9+vTeBlB1t3LBhg85NIM7OzrKpYeLj43kTCBHVKAZAUqK0tDQ88cQTsLe3h4uLCzp16oQjR46Yulo1igGwcjUWAA8ePAgrKyvMnj0bJ0+exNq1a2FnZ4c1a9ZIZeLj4+Hk5ITExESkp6ejf//+eqeB8fX1RUpKCtLS0tChQwe908CEhoYiNTUVqampaNasmd5pYDp27Ii0tDSkpKTA19dXNg1MXl4ePDw80L9/f6SnpyMxMREajYbTwBBRjWIAJDINBsDK1ehE0N999x1CQkKgVqsRHBwsu2AW+GciaE9PT6jVarRr1w7p6emyMnfv3kVMTIw0mXRkZKTOhbBXr17FwIED4ejoCEdHRwwcOFDvRNDdu3eHra0tXF1dERMTozPT+pEjR/Dcc89BrVbD09MT06dP50TQRFSjGACJTIMBsHL8KTgjKKYBMQASKRYDIJFpMABWjgHQCIppQAyARIrFAEhkGgyAlWMANIJiGhADIJFiMQASmQYDYOUYAI2gmAbEAEikWAyARKbBAFg5BkAjKKYBMQASKRYDIJFpMABWjgHQCIppQAyARIpVGwNgSUkJoqOj4eLiIv2kV0U/K1fTyv/k2YPQV39TK/8Ta/p+Xo3kGAArxwBoBMU0IAZAIsWqNADGah7t8ohs3boVKpUKe/fuRW5uLoqKinD16lXZnK8PS00EQH31F0Jg8+bNNVTL6isfAPPz8/HXX3+ZrD6mUN33lgGwcgyARlBMA2IAJFKsf1MALPvLSZX5+OOPUb9+faOP9yBqIgDqq39NBcB79+490OPKB8DaiAGwZjEAGkExDYgBkEixzDkAhoeHY+zYsZg0aRLc3NzQrl07AMCxY8fwwgsvwN7eHu7u7oiKipJ+Q3bIkCEQQkiLv7+/tK+yp4D9/f0xe/ZsvPbaa3BwcICfnx8+/fRT2fEvXryIvn37wtnZGa6urujZsyfOnDkjbS8uLsakSZPg5OQEV1dXTJ48GYMHD640JPz999949dVX4ePjA1tbW4SEhGDdunXSdn319/f31/ucAGDLli144oknoFar0aBBA0yfPh1FRUXSdiEEli5dip49e8LOzk76XfvyvvzyS7Rs2RIODg7Sr1SVHeEz5BTwrFmzUK9ePTg4OGD48OGYMmUKwsLCZM/txRdfxLx58+Dp6QlXV1e8/vrrslBaWFiIyZMnw9vbG3Z2dmjVqhV++uknabv2uN999x2aNGkCW1tbvPLKK7h9+zZWr14Nf39/ODs7IyYmRvYLXobuNykpCcHBwbC3t0eXLl2kn3SNjY2VvQdCCNnj9WEArBwDoBEU04AYAIkUy9wDoIODAyZPnoysrCxkZmYiJycHdevWxTvvvIPMzEykpaUhIiIC7du3B1D6M5szZ86Er68vcnNzcfnyZWlf5QOgq6srPvnkE5w8eRJxcXGwtLREZmYmAODOnTsIDAzEsGHDcOTIEWRkZGDAgAEICgqSRiLnzp0LJycnbNq0CRkZGRg+fDgcHR0rDYAXL17EvHnz8PvvvyM7OxsfffQR6tSpg/3791dY/8uXL0MIgc8//1z2nJKSkqDRaLB69WpkZ2dj+/btCAgIwPTp06XjCSHg7u6OlStXIjs7G2fPntVbr5UrV2Lr1q3Izs5GamoqWrdujRdeeEHaXlUAXLNmDWxsbLBq1SocP34cM2bMgEaj0QmAGo0Go0ePRmZmJr777jvY2dnJfrVrwIABaNu2Lfbs2YNTp05h3rx5UKvVOHHihHRclUqFiIgIpKWlYffu3XBzc0Pnzp3Rt29fHDt2DN999x2sra2xYcOGau+3U6dOOHToEH777Tc89thjGDBgAADg1q1b6Nu3L7p27Yrc3Fzk5uZWOSLNAFg5BkAjKKYBPWgAZHAkeujMPQA2b95ctu69995D586dZesuXLgAIQSOHz8OAFi4cKFslEy7r/IBMCoqSvq7pKQE7u7uWLp0KYDSQBQUFCT7ec7CwkLY2tpi27ZtAAAvLy/Ex8dL24uKiuDr61vtU8DdunXDm2++Kf2tr/76TgE/99xzmDNnjmzdl19+CS8vL9njJk6cWK36AMDBgwchhMCtW7cAVB0An376aYwdO1a2j2eeeUYnAPr7+8tG5vr06YN+/foBAE6dOgULCwtcunRJtp+OHTvinXfekY4rhMCpU6ek7aNGjYKdnZ1UVwDo0qULRo0aZdR+P/nkE3h4eMjqz1PANYcB0AiKaUAMgESKZe4BcMSIEbJ13bp1g0qlgr29vWwRQmDr1q0ADA+AH3zwgaxMaGgoZsyYAQB4/fXXUadOHZ3jWFhYYMmSJcjLy4MQArt375bt46WXXqo0JBQXF+P9999Hs2bN4OrqCnt7e1hZWaFPnz5SGUMDoJ2dHWxsbGT1s7GxgRACd+7ckR63Zs2aCuujlZaWhp49e6J+/fpwcHCAnZ0dhBA4duwYgKoDoLOzM7744gvZPidNmqQTALt16yYrM378eGn09quvvoIQQuc1t7KyQt++faXj2tnZyfYxbdo0PP7447J1gwcPRq9evYzab2JiIiwsLGT1ZwCsOQyARlBMA2IAJFIscw+A5adu6dq1K15++WWcPHlSZ7l9+zYAwwPgwoULZWXCwsIQGxsLABg9ejRatWql9zh5eXkPHADnzp0LNzc3fPnllzh8+DBOnjyJ7t27yx5jaAC0sbHB3Llz9dbx/v37FT6uvNu3b6Nu3boYMGAA9uzZg8zMTGzbtk02BY0hAfB///ufbL8TJ07Uew1gWRMmTEB4eDgAYMOGDahTpw6ysrJ0nk9ubq7e4wKl1+eVPU75Yz3ofjdv3gwhhN59GoIBsHIMgEZQTANiACRSrH9bAPzvf/+LoKAg2Y0O5dVEAFy+fDlcXFwq/Xz18vLC3Llzpb+Liorg5+dXaUiIjIzEsGHDpL/v37+PJk2aVBkAVSoVNm3aJFvXtm1b2b70MSQA/vrrrxBC4Pz589K6L7/8sloB8Omnn0ZMTIxsv88++2y1AuDx48chhMCePXsqrOuDBMAH3W/5ABgdHY3IyMgK91EeA2DlGACNoJgGxABIpFj/tgB46dIl1KtXD71798aBAweQnZ2Nbdu24bXXXpOuLauJAKi9CeT555/Hnj17cPr0aezatQvjx4/HhQsXAADx8fFwcXFBYmIiMjMzER0dXeVNIBMnToSfnx/27t2LjIwMjBgxAhqNpsoAGBgYiDFjxiA3NxfXrl0DUHoTiJWVFWJjY3H06FFkZGRgw4YNmDp1qvQ4QwLg5cuXYW1tjcmTJyM7OxvffvstmjRpUq0AuGbNGtja2mL16tU4ceIEZs2aBY1GI7uGs6oACAADBw5EQEAAEhIScPr0aRw8eBDx8fH44Ycf9B4XqDoAPuh+ywfA2bNno379+sjKysKVK1eqnFKHAbByDIBGUEwDYgAkUqx/WwAEgBMnTqBXr15wdnaGra0tgoODMXHiROmGjZoIgACQm5uLwYMHo27dulCr1WjYsCGio6Olz9yioiJMmDABGo0Gzs7OeOONN6qcBubq1at48cUX4eDgAHd3d7z77rs6j9FX/y1btqBx48awsrKSbUtKSkLbtm1ha2sLjUaDVq1aye6qNXT+wHXr1iEgIABqtRpt2rTBli1bqhUAAWDmzJmoW7cuHBwcMGzYMIwfPx6tW7eWthsSAO/du4dp06YhICAAKpUKnp6e6NWrF44cOVLhcQ0JgA+y3/IB8PLly4iIiICDgwOngakBDIBGUEwDYgAkUqza+FNwpAydOnWS3Wld2zAAVo4B0AiKaUAMgESKxQBIj8KdO3ewYMECHD16FJmZmZg2bRqEEEhOTjZ11UyGAbByDIBGUEwDYgAkUiwGQHoU8vPz0bFjR7i4uMDOzg4tWrRAQkKCqatlUgyAlWMANIJiGhADIJFiMQASmQYDYOUYAI2gmAbEAEikWAyARKbBAFg5BkAjKKYBMQASKRYDIJFpMABWjgHQCIppQAyARIql7YTy8/NNXRWiWiU/P58BsBIMgEZQTANiACRSrOLiYmRkZODvv/82dVWIapW///4bGRkZ0gTlZSmm/zYhBkAjKKYBMQASKVpOTo4UAvPz83H37l0uXLg8pCU/P18Kfzk5OXr/JxXTf5sQA6ARFNOAGACJFK2kpEQKgVy4cHk0S05OjvTrNOUppv82IQZAIyimATEAEpmF4uJik4+OcOFSGxZ9p33LUkz/bUIMgEZQTANiACQiIjKYYvpvE2IANIJiGhADIBERkcEU03+bEAOgERTTgBgAiYiIDKaY/tuEGACNoJgGxABIRERkMMX03ybEAGgExTQgBkAiIiKDKab/NiEGQCMopgExABIRERlMMf23CTEAGkExDYgBkIiIyGCK6b9NiAHQCIppQAyAREREBlNM/21CDIBGUEwDYgAkIiIymGL6bxNiADSCYhoQAyAREZHBFNN/mxADoBEU04AYAImIiAymmP7bhBgAjaCYBsQASEREZDDF9N8mxABoBMU0IAZAIiIigymm/zYhBkAjKKYBMQASEREZTDH9twkxABpBMQ2IAZCIiMhgium/TYgB0AiKaUAMgERERAZTTP9tQgyARlBMA2IAJCIiMphi+m8TYgA0gmIaEAMgERGRwRTTf5sQA6ARFNOAGACJiIgMppj+24QYAI2giAYUq2EAJCIiqgZF9N8mxgBoBEU0IAZAIiKialFE/21iNRYAY2NjIYSQLR4eHtL2kpISxMbGwsvLCzY2NggPD8fRo0dl+ygoKEBMTAzc3NxgZ2eHHj164MKFC7Iy165dQ1RUFDQaDTQaDaKionD9+nVZmXPnziEyMhJ2dnZwc3PDuHHjUFhYKCtz5MgRtGvXDjY2NvD29saMGTNQUlJSreesiAbEAEhERFQtiui/TaxGA2DTpk2Rm5srLZcvX5a2x8fHw9HREQkJCUhPT0e/fv3g5eWFmzdvSmVGjx4NHx8fJCcnIy0tDe3bt0dYWBiKi4ulMl27dkVISAj27duHffv2ISQkBJGRkdL24uJihISEoH379khLS0NycjK8vb0RExMjlblx4wY8PDzw6quvIj09HQkJCXB0dMT8+fOr9ZwV0YAYAImIiKpFEf23idVoAAwLC9O7raSkBJ6enoiPj5fWFRQUwMnJCcuWLQMA5OXlQaVSYcOGDVKZS5cuwdLSEklJSQCAjIwMCCGwf/9+qUxqaiqEEMjKygIAbN26FZaWlrh06ZJUZv369VCr1dIbvWTJEjg5OaGgoEAqExcXB29v72qNAiqiATEAEhERVYsi+m8Tq9EAaGdnBy8vLwQEBKBfv37Izs4GAGRnZ0MIgbS0NNljevbsicGDBwMAduzYASEErl27JisTGhqKadOmAQBWrlwJJycnnWM7OTlh1apVAID33nsPoaGhsu3Xrl2DEAI7d+4EAAwaNAg9e/aUlUlLS4MQAqdPn67wORYUFODGjRvScuHCBdM3IAZAIiKiamEArMEAuHXrVmzatAlHjhxBcnIywsPD4eHhgb///ht79+6FEEI2KgcA0dHR6Ny5MwBg7dq1sLa21tlvREQERo4cCQCYPXs2AgMDdcoEBgZizpw50j4jIiJ0ylhbW2PdunXSPqOjo2XbL126BCEE9u3bV+Fz1Hedo8kbEAMgERFRtTAAPsS7gG/fvg0PDw8sWLBACoA5OTmyMiNGjECXLl0AVBwAO3XqhFGjRgEoDYBNmjTRKdO4cWPExcUBkIfKslQqFdavXw9AHiq1Ll68CCEEUlNTK3xOHAEkIiIyfwyAD3kamE6dOmH06NH/mlPA5SmiATEAEhERVYsi+m8Te2gBsKCgAD4+PtL0Kp6enpg7d660vbCwUO9NIBs3bpTK5OTk6L0J5MCBA1KZ/fv3670JpOxo44YNG3RuAnF2dpZNDRMfH8+bQIiIiGoBRfTfJlZjAfDNN9/Erl27cPr0aezfvx+RkZFwdHTE2bNnAZQGLCcnJyQmJiI9PR39+/fXOw2Mr68vUlJSkJaWhg4dOuidBiY0NBSpqalITU1Fs2bN9E4D07FjR6SlpSElJQW+vr6yaWDy8vLg4eGB/v37Iz09HYmJidBoNJwGhoiIqBZQRP9tYjUWALXz+qlUKnh7e+Pll1/GsWPHpO3aiaA9PT2hVqvRrl07pKeny/Zx9+5dxMTEwNXVFba2toiMjMT58+dlZa5evYqBAwfC0dERjo6OGDhwoN6JoLt37w5bW1u4uroiJiZGNuULUDoR9HPPPQe1Wg1PT09Mnz6dE0ETERHVAorov02MPwVnBEU0IAZAIiKialFE/21iDIBGUEQDYgAkIiKqFkX03ybGAGgERTQgBkAiIqJqUUT/bWLizp070h9nz57FwoULsW3bNhNWyXwoogExABIREVWLIvpvExNLly4FAFy/fh0eHh7w9fWFjY0NlixZYuKqKZ8iGhADIBERUbUoov82MXH06FEAwIoVKxAaGor79+/jq6++QnBwsImrpnyKaEAMgERERNWiiP7bxMS5c+cAAH369MH06dMBAOfPn4etra0p62UWFNGAGACJiIiqRRH9t4mJxYsX4/z589BoNNi3bx8A4Ndff4WHh4eJq6Z8imhADIBERETVooj+28SESqWCpaUlIiIipJVz5sxB165dTVgt86CIBsQASEREVC2K6L9NTOTm5iItLQ3379+XVh44cACZmZkmrJZ5UEQDYgAkIiKqFkX03ybGeQCNoIgGxABIRERULYrov01M9OrVCxUtVDlFNCAGQCIiompRRP9tYmLo0KGoaKHKKaIBMQASERFViyL6bxPjKWAjKKIBMQASERFViyL6bxMTRUVFSE5OxrJly3Dz5k0AwKVLl3Dr1i0TV035FNGAGACJiIiqRRH9t4mJ4OBg2NnZoU6dOsjOzgYATJgwAaNGjTJx1ZTP5A1IG/4YAImIiAxm8v5bAURUVBQKCwvh4OAgBcBdu3ahcePGJq6a8pm8ATEAEhERVZvJ+28FEFlZWQAgC4BnzpzhT8EZwOQNyJgAaExwJCIiMmMm778VQBw7dgyAPAD+/PPPcHd3N2W9zILJGxADIBERUbWZvP9WABEdHQ2gNACePn0at27dQocOHTgNjAFM3oAYAImIiKrN5P23AogmTZrgscceg5WVFVq3bg03NzcEBQXhr7/+MnXdFM/kDYgBkIiIqNpM3n8rgMjPz8eqVaswduxYjBkzBitWrEB+fr6p62UWTN6AGACJiIiqzeT9twJUOBH0H3/88SjrYZZM3oAYAImIiKrN5P23Aohvv/1WZ+W8efNgY2NjguqYF5M3IAZAIiKiajN5/60AwsbGBqNGjUJ+fj4uXryI9u3bw93dHfqCIcmZvAExABIREVWbyftvBRCHDx9GSEgIGjduDFdXV3Tr1g1//vmnqetlFkzegBgAiYiIqs3k/bcCiJs3b6Jfv36wsrKClZUVVq9ebeo6mQ2TNyAGQCIiomozef+tACIgIAAtW7ZERkYGVqxYAUdHR/Tp0wfXrl0zdd0Uz+QNiAGQiIio2kzefyuAmDJlCu7duyetOHXqFNq0aQMfHx8TVss8mLwBMQASERFVm8n7bwXQOw3M/fv3MXPmzEddF7Nj8gbEAEhERFRtJu+/FaDCeQCpaiZvQAyARERE1Wby/lsBxOLFi6Fv+eijj0xdN8UzWQPSBjcGQCIiompjAPy/m0D0LQ0aNDB13RSPAZCIiMj8MADyFLBRGACJiIjMDwNgmQBYUlKCkpISU9bF7DAAEhERmR8GQEB89tlnaNq0KaytrWFtbY2mTZtixYoVpq6XWWAAJCIiMj8MgICwt7fH22+/jW+//Rbffvst3n77bTg4OGDq1KmmrpviMQASERGZHwZAQKxbt05n5bp16+Dm5maC6pgXBkAiIiLzwwAIiBMnTuisPH78OJycnExQHfPCAEhERGR+GAABMWnSJJ2Vb775Jl5//XUTVMe8MAASERGZHwZAQGg0GjRt2hTDhw/H8OHD0bRpU2g0GsTExGDSpEnSQroYAImIiMwPAyAgnn/+eVS1tG/f3tT1VCQGQCIiFxMZdwAAIABJREFUIvPDAMiJoI3CAEhERGR+GAAZAI3ySBqQvpDGAEhERPTAGAAZAI3CAEhERGR+GAAZAI3CAEhERGR+GAAZAI3CAEhERGR+GAABcefOnYey4zlz5kAIgQkTJkjrSkpKEBsbCy8vL9jY2CA8PBxHjx6VPa6goAAxMTFwc3ODnZ0devTogQsXLsjKXLt2DVFRUdBoNNBoNIiKisL169dlZc6dO4fIyEjY2dnBzc0N48aNQ2FhoazMkSNH0K5dO9jY2MDb2xszZsxASUmJwc+RAZCIiMj8MAAC4q+//qrxnR48eBABAQEIDQ2VBcD4+Hg4OjoiISEB6enp6NevH7y8vHDz5k2pzOjRo+Hj44Pk5GSkpaWhffv2CAsLQ3FxsVSma9euCAkJwb59+7Bv3z6EhIQgMjJS2l5cXIyQkBC0b98eaWlpSE5Ohre3N2JiYqQyN27cgIeHB1599VWkp6cjISEBjo6OmD9/vsHPkwGQiIjI/DAAAmLy5MmYMWOG3uVB3Lp1C4GBgUhOTkZ4eLgUAEtKSuDp6Yn4+HipbEFBAZycnLBs2TIAQF5eHlQqFTZs2CCVuXTpEiwtLZGUlAQAyMjIgBAC+/fvl8qkpqZCCIGsrCwAwNatW2FpaYlLly5JZdavXw+1Wi292UuWLIGTkxMKCgqkMnFxcfD29jZ4FJABkIi0/Kd8L1uISLkYAAEREhKC5s2b6ywtWrR4oB0OHjwYEydOBABZAMzOzoYQAmlpabLyPXv2xODBgwEAO3bsgBAC165dk5UJDQ3FtGnTAAArV67U+zvFTk5OWLVqFQDgvffeQ2hoqGz7tWvXIITAzp07AQCDBg1Cz549ZWXS0tIghMDp06cNeq4MgESkxQBIZD4YAGv4FPD69esREhKCu3fvApAHwL1790IIIRuVA4Do6Gh07twZALB27VpYW1vr7DciIgIjR44EAMyePRuBgYE6ZQIDAzFnzhxpnxERETplrK2tsW7dOmmf0dHRsu2XLl2CEAL79u3T+/wKCgpw48YNablw4YJyAmB1wxwDIFGNYgAkMh8MgDV4F/D58+fh7u6Ow4cPS+v0BcCcnBzZ40aMGIEuXboAqDgAdurUCaNGjQJQGgCbNGmiU6Zx48aIi4sDIA+VZalUKqxfvx6APFRqXbx4EUIIpKam6n2OsbGxEELoLAyARMQASGQ+GAABcerUKcTExKBjx47o1KkTxo0bh1OnTlV7R5s3b4YQAnXq1JEWIQQsLCxQp04dnDp1yuxPAXMEkIgqwgBIZD4YAAFhbW2NVq1aYdKkSZg4cSJatWoFtVqN7du3V2tHN2/eRHp6umx58sknERUVhfT0dOkmkLlz50qPKSws1HsTyMaNG6UyOTk5em8COXDggFRm//79em8CKTvauGHDBp2bQJydnWVTw8THx5vvTSDVCXPGXDtIRHo9ygDIsElkHAZAQEyZMkVn5ZQpUx74JpCyyp4CBkoDlpOTExITE5Geno7+/fvrnQbG19cXKSkpSEtLQ4cOHfROAxMaGorU1FSkpqaiWbNmeqeB6dixI9LS0pCSkgJfX1/ZNDB5eXnw8PBA//79kZ6ejsTERGg0GvOdBoYBkMikGACJzAcDICBOnDihs/L48eNQq9VG77x8ANROBO3p6Qm1Wo127dohPT1d9pi7d+8iJiYGrq6usLW1RWRkJM6fPy8rc/XqVQwcOBCOjo5wdHTEwIED9U4E3b17d9ja2sLV1RUxMTGyKV+A0omgn3vuOajVanh6emL69OnmOxE0AyCRSTEAEpkPBkBAfPXVVzorN27cCD8/PxNUx7wwABKRFgMgkflgAASEs7Mz4uPjsWfPHvz888+Ii4uDs7MzZs2aZeq6KZ7iAqChgY4BkKjGMQASmQ8GQEB8+OGH8PHxgYWFBSwsLODj44NFixZV61RobcUASERaDIBE5oMBsMw8gDdv3pTdjEFVYwAkIi0GQCLzwQBYgxNB10YMgESkxQBIZD4YABkAjcIASERa5UOZvuVhHYuIqocBkAHQKAyARKTFAEhkPhgAGQCNwgBIRFoMgETmgwFQTwAsP6EyVYwBkIi0GACJzAcDICA2bNgg/dGnTx9YWlrC29sbhw8fNmG1zIPZBMDy6xkAiYxiSNh7lAHwYR6L6N+IARAQe/fuBQBs374dzs7O2LZtG4YPH46IiAgTV035zCoAlt3GAEhkFAZAIvPGAAgI7e/sjh8/HiNHjgRQ+lvAzs7OpqyXWWAAJKqdGACJzBsDYJkRwCZNmkD7u8BZWVlwdHQ0Zb3MAgMgUe3EAEhk3hgAAeHv749OnTrBzc0Nt27dAgBs2LABLVq0MHHVlE+RAbCi8gyARDWGAZDIvDEAAmL+/PkYP3480tLSpJULFy7EihUrTFgt88AASFQ7MQASmTcGQEBkZ2ebug5miwGQqHZiACQybwyADIBGYQAkqp0YAInMGwMgIBYsWGDqOpgtswiA+tYzABIZhQGQyLwxAALC2dkZr7zyCubMmYPFixfLFqocAyBR7cQASGTeGAABERAQAH1LgwYNTF03xWMAJKqdGACJzBsDoJ7fAibDMQAS1Q4PGvgYAImUiQHw/wJgYWEhsrKyUFRUZOr6mBWzDICGTBxNRDIMgET/LgyAgPj/7Z17WFTngYc/QRhuM6MQ5aqjSTCaIFhrXZONWsRbHlFjU9e4GjFGjSawmnQTjW5E2whY02x2G41JqibtKtqN2s1W13iJtwqay8iC4gVRFNGtuyJoovAE+e0f1qkHZnDwzPCdy+99nvcPznxz+M6Y53xvZjhnpk2bhsDAQAQGBuLOFcFZWVnIzc2VPDXto7sA9OaKYUJIM3wVgL6KNAYgIepgAALihz/8IQ4cOIDw8HBXAP7Hf/wH+vTpI3lq2kfzAXiv+GMAEuIVDEBCjAUDEBCFhYUAgIiICFcAlpWV8buAvYABSIg5kBmAsj9uJsSIMADvuhH03QFYVFQEm41xcC8YgISYAwYgIcaCAQiIf/3XfwVwOwDPnDkDAHj55ZcxYsQImfPSBQxAQswBA5AQY8EABITVasWsWbMQEhKCOXPmYOjQoQgPD8fXX38te26aR2oAehN1DEBCfAIDkBBjwQAERHFxMaZMmYLHHnsMvXr1wqRJk1BcXCx7XrqAAUiIOWAAEmIsGIC8EbQqGICEmAMGICHGggEIiFu3buHkyZM4cOAA9u3bp5C0DAOQEHPAACTEWDAAAdG9e3cEBASgXbt2CgMCAmTPTfMwAAkxHv6KPQYgIdqBAQiI8ePHo7S0FFevXkVNTY1C0jIMQEKMBwOQEOPDAAREWVmZ7DnoFgYgIcaDAUiI8WEAAuK//uu/ZM9BtzAACTEeDEBCjA8DEBCPPvoo1q5di6+//hr//d//rZC0DAOQEOPBACTE+DAAAeHu4g9eBOIdDEBCjAcDkBDjwwAEREVFBTxJWoYBSIjxkB2AMmOTELPAAATEsWPHZM9BtzAACTEeDEBCjA8DEBClpaWy56BbGICEGI+2DEDZEmJWGICAyMjIwPfffy97HrpEswF45zkMQEJajewoYwAS4n8YgICwWq2IjY3F8OHDMW7cOIWkZRiAhBgP2VHGACTE/zAAATF16lR4krQMA5AQ4yE7yhiAhPgfBiAgZE9AzzAACTEesqOMAUiI/2EA/iUAL1++jAMHDuBPf/oTLl++LHtOuoEBSIjxkB1lDMC/orf5Ev3AAATE888/j8DAQNeNoNu3b49p06bhu+++kz03zcMAJMR4yI4yBuBf0dt8iX5gAALiwQcfxLZt21BbW4va2lps3boVDz30EGbNmiV7bpqHAUiI8ZAdZQzAv6K3+RL9wAAExJ49e5pt/OKLL/DAAw+0/Wx0BgOQEOMhO8oYgH9Fb/Ml+oEB6OFG0EePHkVYWFirdrRy5Ur07t0bVqsVVqsVAwYMwLZt21yPNzY2Ijs7G7GxsQgJCcHgwYNx9OhRxT7q6uqQmZmJqKgohIWFYfTo0aisrFSMqa6uxuTJk2Gz2WCz2TB58mRcvXpVMebcuXNIT09HWFgYoqKikJWVhfr6esWY4uJiDBo0CCEhIYiLi8OSJUvQ2NjYqmPWdAB6KyFEgewoYwD+Fb3Nl+gHBiAgxo8fj5s3b7o23LhxA+PHj0daWlqrdvTZZ59h69atOHnyJE6ePIkFCxYgKCjIFXl5eXmwWq3YtGkTSkpKMGHCBMTGxuLatWuufcyaNQvx8fHYuXMnnE4nUlNTkZKSgoaGBteYkSNHIikpCQUFBSgoKEBSUhLS09Ndjzc0NCApKQmpqalwOp3YuXMn4uLikJmZ6RpTW1uL6OhoPPvssygpKcGmTZtgtVrx9ttvt+qYGYCEGA/ZUWbWANTbfIm+YQACIj4+HlFRURgyZAjS0tIQFRWF+Pj4Zu/O3Q8dO3bEb37zGzQ2NiImJgZ5eXmux+rq6mC327Fq1SoAQE1NDYKCgrBhwwbXmKqqKgQEBGD79u0AgNLSUgghcOjQIdeYwsJCCCFw4sQJAMC2bdsQEBCAqqoq15j8/HxYLBbXP/TKlStht9tRV1fnGpObm4u4uLhWvQvIACTEeMiOMgagPuZL9A0DEBA3btzAhx9+iFdffRWvvPIKPvroI9y4cUPVThsaGpCfn4/g4GAcO3YM5eXlEELA6XQqxo0ZMwZTpkwBAOzevRtCCFRXVyvGJCcnY9GiRQCA1atXw263N/t9drsda9asAQC8+eabSE5OVjxeXV0NIQS++OILAMBzzz2HMWPGKMY4nU4IIXDmzBmvj5MBSIjxkB1lDEB9zJfoGwagj28EXVxcjPDwcAQGBsJut2Pr1q0AgIMHD0IIoXhXDgBmzJiB4cOHAwDWrVuH4ODgZvscNmwYZs6cCQBYunQpEhMTm41JTExETk6Oa5/Dhg1rNiY4OBjr16937XPGjBmKx6uqqiCEQEFBgcfjq6urc10tXVtbi8rKSgYgIQZDdpQxAPUxX6JvGICAWL16dbONq1evVnxc6y319fUoKyvDV199hfnz5+OBBx7AsWPHXAF48eJFxfjp06djxIgRADwH4NChQ/Hiiy8CuB2APXr0aDbm4YcfRm5uLgBlVN5NUFAQ8vPzASij8g4XLlyAEAKFhYUejy87OxtCiGYyAAkxDrKjjAGoj/kSfcMABMTBgwebbTx06BC6deumeudpaWmYOXOmYT4C5juAhBgP2RHGALyN3uZL9A0DEBDugqe8vBwWi0X1zocMGYKMjAzXRSDLli1zPVZfX+/2IpCNGze6xly8eNHtRSCHDx92jTl06JDbi0Dufrdxw4YNzS4C6dChg+LWMHl5ebwIhBATIjvCtBSAbRlceg9Wom8YgID43e9+12zjb3/7W3Tv3r1VO3rjjTewf/9+nD17FsXFxViwYAECAgKwY8cOALcDy263Y/PmzSgpKcHEiRPd3gYmISEBu3btgtPpxJAhQ9zeBiY5ORmFhYUoLCxE79693d4GJi0tDU6nE7t27UJCQoLiNjA1NTWIjo7GxIkTUVJSgs2bN8Nms/E2MISYENkRxgBkAJK2hwEIiKioKKxZswYVFRWoqKjA6tWrERUV5bqowlumTZsGh8OB4OBgdOrUCWlpaa74A/56I+iYmBhYLBYMGjQIJSUlin3cvHkTmZmZiIyMRGhoKNLT03H+/HnFmCtXrmDSpEmuG05PmjTJ7Y2gR40ahdDQUERGRiIzM1Nxyxfg9gUrAwcOhMViQUxMDBYvXqzdG0E3DTUGICE+Q3aEmSEA/TVfQu4XBiAgXn/9dYSEhCAgIAABAQEICwvDkiVLZM9LFzAACdE/siOMAcgAJG0PA/Avt4G5fv06vvzyS5SUlDR7p4x4hgFIiP6RHWEMQAYgaXsYgD6+D6DZYAASon9kRxgDkAFI2h4GIANQFQxAQvSP7AhjADIASdvDAGQAqoIBSIj+kR1hDEAGIGl7GIAMQFUwAAnRP7IjzIgB2FbzJeR+YQAC4rvvvpM9B93CACRE/8iOMAYgA5C0PQxAQPz5z3+WPQfdwgAkRP/IjjAtq7XXlBBfwQAExGuvvYYlS5a4lbQMA5AQ/SM7srSs1l6/+/39hDSFAQiIpKQk9OnTp5k/+MEPZM9N8zAACdE/siNLy2rt9bvf309IUxiA/AhYFQxAQvSP7MjSslp7/e739xPSFAYgrwJWBQOQEP0jO7K0rFFeL0KawgAExOnTp5GZmYm0tDQMHToUWVlZOH36tOx56QJDBCAjkJgc2XGiZY3yehHSFAYgIIKDg9G/f3+88sormDt3Lvr37w+LxYIdO3bInpvmYQASon9kx4mWNcrrRUhTGICAmDdvXrON8+bN40UgXsAAJET/yI4TLWuU14uQpjAAAXHq1KlmG0+ePAmLxSJhOvqCAUiIf2jLRVx2nGhZo7xehDSFAQiI3//+9802bty4EV26dJEwHX3BACTEPzAAtaFRXi9CmsIABESHDh2Ql5eH/fv348CBA8jNzUWHDh3wi1/8QvbcNI+UAPR1/DEAiQZhAGpDo7xehDSFAQiId955B/Hx8WjXrh3atWuH+Ph4vPvuu2hsbJQ9N83DACTEPzAAtaFRXi9CmsIAvOs+gNeuXcO1a9dkzkV3MAAJ8Q1ttYjLDhG9aZTXkJCmMAB5I2hVMAAJ8Q1ttYjLDhEqR0KawgBkAKqCAUiIb2irRVx2iFA5EtIUBiADUBUMQEJ8Q1st4rJDhMqRkKYwABmAqmAAEuIbfLGIe/Mc2SFC5UhIUxiAgDh58qTsOegWBiAhvsEXi7g3z5EdIlQbEsIA9PBNIMQ7GICE+AZfLNrePEd2eFBtSAgD0MN3ARPvYAAS4ht8sWh78xzZ4UG1ISEMQEDYbDb07dsXM2fOxCuvvKKQtAwDkBDf4ItFW3ZUUP1ICAMQED/+8Y/hztTUVNlz0zwMQEJ8gy8WbdlRQfUjIQxAXgWsCgYgIb7BF4u27Kig+pEQBuBfArCsrAzbt2/HjRs3AIDfA+wlDEBCfIMvFm3ZUUH1IyEMQEAMGTIE7dq1Q0BAAMrLywEA06ZNw6uvvip5atrHMAHICCSS8cWiLTsqqH4khAEIiBEjRqCyshIRERGuAPz888/x6KOPSp6a9mEAEuIb7mfRlh0RVL8SwgAERFFREQAoAvDMmTMIDw+XOS9dwAAkxDfcz6ItOyKofiWEAXjXjaDvDsAvv/wSkZGRMuelCxiAhPgG2UFAzSUhDEBA/NM//ROA2wF45swZ3Lp1C+PHj8czzzwjeWrahwFIiG+QHQTUXBLCAAREp06dMHLkSAQHB+OnP/0pevXqhejoaJw+fVr23DQPA5AQ3yA7CKi5JIQBCIhLly5h0aJFGDVqFJ566iksXLgQFy9elD0vXcAAJKT1yF78KSWEAcgbQauCAUhI65G9+FNKCAMQENXV1Vi+fDmmTZuGF154AW+//TauXLkie166gAFIyL2RvdhT2lRCGICAsNvt6NKlC8aNG4dx48aha9eusNls2Lt3r+y5aR4GICH3RvZiT6k3EnPBAATEjBkz0NDQ4NrQ0NCAmTNn4rHHHpM4LX3AACTk3she2Cn1RmIuGICAOHHiRLONJ06cQEhIiITp6AsGICH3RvbCTqk3EnPBAATEli1bmm3csmULBgwYIGE6+oIBSMi9kb2wU+qNxFwwAAHRtWtXLF++HAcOHMCBAwewfPlydOvWDRs2bJA9N83DACTk3she2Cn1RmIuGICAaNeuHdwZEBAge26ahwFIiBLZizil9ysxFwxAQFRUVMCTpGUYgIQokb2IU3q/EnPBAOSNoFXBACREiexFnNL7lZgLBiAgLly4gI0bN+LXv/41/uVf/kVha8jJyUG/fv0QERGBTp06YezYsWh6hXFjYyOys7MRGxuLkJAQDB48GEePHlWMqaurQ2ZmJqKiohAWFobRo0ejsrJSMaa6uhqTJ0+GzWaDzWbD5MmTcfXqVcWYc+fOIT09HWFhYYiKikJWVhbq6+sVY4qLizFo0CCEhIQgLi4OS5YsQWNjo9fHzAAkRInsRZxSX0mMDQMQEMHBwYiIiIDD4UC3bt1cdu/evVU7GjFiBNauXYujR4+iqKgIo0aNQteuXfHtt9+6xuTl5cFqtWLTpk0oKSnBhAkTEBsbi2vXrrnGzJo1C/Hx8di5cyecTidSU1ORkpKiuFfhyJEjkZSUhIKCAhQUFCApKQnp6emuxxsaGpCUlITU1FQ4nU7s3LkTcXFxyMzMdI2pra1FdHQ0nn32WZSUlGDTpk2wWq14++23vT5mBiAhSmQv2pT6SmJsGICAeOutt3Dr1i2f7/jy5csQQmDfvn0Abr/7FxMTg7y8PNeYuro62O12rFq1CgBQU1ODoKAgxRXIVVVVCAgIwPbt2wEApaWlEELg0KFDrjGFhYUQQrjecdy2bRsCAgJQVVXlGpOfnw+LxeL6x165ciXsdjvq6upcY3JzcxEXF+f1u4AMQEKUyF60KfWVxNgwAAFx+vRpv+y4rKwMQgiUlJQAAMrLyyGEgNPpVIwbM2YMpkyZAgDYvXs3hBCorq5WjElOTsaiRYsAAKtXr4bdbm/2++x2O9asWQMAePPNN5GcnKx4vLq6GkIIfPHFFwCA5557DmPGjFGMcTqdEELgzJkzXh0jA5AQJbIXbUp9JTE2DEBA5Obm+nynjY2NGD16NJ588knXtoMHD0IIoXhXDgBmzJiB4cOHAwDWrVuH4ODgZvsbNmwYZs6cCQBYunQpEhMTm41JTExETk6Oa5/Dhg1rNiY4OBjr16937XPGjBmKx6uqqiCEQEFBgdvjqqurQ21trcvKykoGIDE1shdpSv0lMTYMQECMHDkSgwcPRmZmJl555RWF98tLL70Eh8OhuHjjTgBevHhRMXb69OkYMWIEAM8BOHToULz44osAbgdgjx49mo15+OGHcSdm747KuwkKCkJ+fj4AZVTe4cKFCxBCoLCw0O1xZWdnQwjRTAYgMSuyF2lK/SUxNgzAv9wIumfPnhg8eDB+/OMfu0xNTb2vHWZmZiIhIaHZx6hG+AiY7wASokT2Ik1pW0qMAwMQEGvXrvXJjhobG/Hyyy8jLi4Op06dcvt4TEwMli1b5tpWX1/v9iKQjRs3usZcvHjR7UUghw8fdo05dOiQ24tA7n63ccOGDc0uAunQoYPi1jB5eXm8CISQViB7Qaa0LSXGgQEICHexdj/Mnj0bdrsde/fuxaVLl1zeuHHDNSYvLw92ux2bN29GSUkJJk6c6PY2MAkJCdi1axecTieGDBni9jYwycnJKCwsRGFhIXr37u32NjBpaWlwOp3YtWsXEhISFLeBqampQXR0NCZOnIiSkhJs3rwZNpuNt4EhpBXIXpApbUuJcWAAAiIrK8s3O3Lzt3FCCNz9DuOdG0HHxMTAYrFg0KBBrquE73Dz5k1kZmYiMjISoaGhSE9Px/nz5xVjrly5gkmTJsFqtcJqtWLSpElubwQ9atQohIaGIjIyEpmZmYpbvgC3bwQ9cOBAWCwWxMTEYPHixbwRNGOQeED24kupbIlxYAACwmazoXv37khPT8e4ceMUkpZhABIzIXvxpVS2xDgwAAExdepUeJK0DAOQmAnZiy+lWpPoFwYgIGRPQM8wAImZkL3YUqo1iX5hADIAVcEAJEZG9uJKqdYl+oUBCIju3bvDk6RlGIDEyMheXCnVukS/MAAB8e677+KOy5cvx9///d8jMjIS/viKOKPR5gHor/hjABI3yF5cKdW6RL8wAD18BPzee+/xIhAvYAASNdxrMWnLBUj2QkqpHiX6hQHoIQDLy8thtVrbei66gwFI1HCvxaQtFyDZCymlepToFwaghwBctmwZHA5HG09FfzAAiRq0tCjJXkgp1aNEvzAAAfGDH/wAd+zTpw9iYmIQGBiIDz74QPbcNA8DkKhBS4uS7IWUUj1K9AsDEBCLFy/GHX/+85/j/fffx/Hjx2XPSxcwAIkatLRIyV5IKdWjRL8wAHkfQFUwAIm3aH2Rkr2QUqpHiX5hADIAVcEAJN4ie6G618Ilez6UGkGiHxiAgAgICIA7AwMDZc9N8zAAibfIXpgopf6X6AcGICD+8Ic/4G5ff/11hIaGIiQkRPbcNA8DkHiL7IWJUup/iX5gAN71EfDx48fx9NNPIzAwEFOmTMG5c+dkzksXGDYAGYE+R/bCRCn1v0Q/MAABUVVVhenTpyMoKAjp6ekoKSmRPSfdwAAk3iJ7YaKU+l+iHxiAgAgNDcXjjz+O/fv3y56L7mAAEm+RvTBRSv0v0Q8MwL/8DSC5PxiAxFtkL0yUUv9L9AMDEBDjxo2DJ0nLMACJt8hemCil/pfoBwYgIKZOnQpPkpZhABJvkb0wUUr9L9EPDEDeCFoVhgrApr+D+BTZCxOl1P8S/cAAZACqggFIvEX2wkQp9b9EPzAAGYCqYAASb5G9MFFK/S/RDwxABqAqGIDEW2QvTJRSORJtwgBkAKrCcAHYNAbJfSN70aGUakOiTRiADEBVMACJJ2QvOpRSbUi0CQOQAagKBiDxhOxFh1KqDYk2YQAyAFXBACSekL3oUEq1IdEmDEAGoCoYgMQTshcdSqk2JNqEAcgAVAUDkHhC9qJDKdWGRJswABmAqmAAEk/IXnQopdqQaBMGIANQFQxA4gnZiw6lVBsSbcIAZACqggFIPCF70aGUakOiTRiADEBVMACJJ2QvOpRSbUq0AQOQAagKBiDxhOxFhlKqTYk2YAAyAFXBACSekL3IUEq1KdEGDEAGoCoYgMQTshcZSqk2vd/zBfEtDEAGoCoYgMQTshcZSqk2vd/zBfEtDEAGoCoYgMQTshcZSqmxJL6FAcgAVAUDkHhC9mJBKTWWxLcwABmAqmAAEk/IXiwopcaWqIMByABUBQNQu8g+YcpeHCilxpaogwHIAFQFA1C7tOUJU/ZCQCkQuWMzAAAY/UlEQVQ1n0QdDEAGoCoYgNpB5glU9kJAKTWfRB0MQAagKhiA2kHmSVX2QkApNZ9EHQxABqAqGIDaQeZJVfZCQCk1n0QdDEAGoCoYgHLQ2klV9kJAKTWfRB0MQB8H4L59+5Ceno7Y2FgIIbBlyxbF442NjcjOzkZsbCxCQkIwePBgHD16VDGmrq4OmZmZiIqKQlhYGEaPHo3KykrFmOrqakyePBk2mw02mw2TJ0/G1atXFWPOnTuH9PR0hIWFISoqCllZWaivr1eMKS4uxqBBgxASEoK4uDgsWbIEjY2NXh8vA1AOWjupyl4IKKXmk6iDAejjANy2bRsWLlyITZs2uQ3AvLw8WK1WbNq0CSUlJZgwYQJiY2Nx7do115hZs2YhPj4eO3fuhNPpRGpqKlJSUtDQ0OAaM3LkSCQlJaGgoAAFBQVISkpCenq66/GGhgYkJSUhNTUVTqcTO3fuRFxcHDIzM11jamtrER0djWeffRYlJSXYtGkTrFYr3n77ba+PlwEoB62dVGUvBJRS6pjHKGwNDEA/fgTcNAAbGxsRExODvLw817a6ujrY7XasWrUKAFBTU4OgoCBs2LDBNaaqqgoBAQHYvn07AKC0tBRCCBw6dMg1prCwEEIInDhxAsDtEA0ICEBVVZVrTH5+PiwWi+sfe+XKlbDb7airq3ONyc3NRVxcnNfvArZpALa1GkLrJ1DZJ31KKXXMYwC2BgZgGwZgeXk5hBBwOp2KcWPGjMGUKVMAALt374YQAtXV1YoxycnJWLRoEQBg9erVsNvtzX6f3W7HmjVrAABvvvkmkpOTFY9XV1dDCIEvvvgCAPDcc89hzJgxijFOpxNCCJw5c8btMdXV1aG2ttZlZWUlA7AN0PoJVPZJn1JKHfMYgK2BAdiGAXjw4EEIIRTvygHAjBkzMHz4cADAunXrEBwc3Gxfw4YNw8yZMwEAS5cuRWJiYrMxiYmJyMnJce1z2LBhzcYEBwdj/fr1rn3OmDFD8XhVVRWEECgoKHB7TNnZ2RBCNJMB6F+0fgKVfdKnlFLHPAZga2AASgjAixcvKsZNnz4dI0aMAOA5AIcOHYoXX3wRwO0A7NGjR7MxDz/8MHJzcwEoo/JugoKCkJ+fD0AZlXe4cOEChBAoLCx0e0x8B1AOWj+Byj7pU0qpYx4DsDUwAPkRsGLMvT4Cbgr/BrBt0PoJVPZJn1JKHfMYgK2BASjhIpBly5a5ttXX17u9CGTjxo2uMRcvXnR7Ecjhw4ddYw4dOuT2IpC7323csGFDs4tAOnTooLg1TF5eHi8CkRyAejiByp4jpZR6I/EMA9DHAXj9+nUcOXIER44cgRAC77zzDo4cOYJz584BuB1YdrsdmzdvRklJCSZOnOj2NjAJCQnYtWsXnE4nhgwZ4vY2MMnJySgsLERhYSF69+7t9jYwaWlpcDqd2LVrFxISEhS3gampqUF0dDQmTpyIkpISbN68GTabTbu3gWEAauaEKXuOlFLqjcQzDEAfB+CePXvcXiSRkZEB4K83go6JiYHFYsGgQYNQUlKi2MfNmzeRmZmJyMhIhIaGIj09HefPn1eMuXLlCiZNmgSr1Qqr1YpJkya5vRH0qFGjEBoaisjISGRmZipu+QLcvhH0wIEDYbFYEBMTg8WLF2v3RtAMQM2cMGXPkVJKvZF4hgHIr4JTBQPQ9+jhhCl7jpRS6o3EMwxABqAqGIC+R/YJ05sTqOw5UUqpNxLPMAAZgKpgAPoe2SdMb06gsudEKaXeSDzDAGQAqsLv/wHJij8GYIsnUNlzopTS+5XchgHIAFQFA9D3yD45enOylD0nSim9X8ltGIAMQFUwANUj+2RIKaVmktyGAcgAVAUDUD2yT4aUUmomyW0YgAxAVTAA1SP7ZEgppWaS3IYByABUBQNQPbJPhpRSaibJbRiADEBVMADVI/tkSCmlZpLchgHIAFQFA1A9sk+GlFJqZs0KA5ABqApDB2C2rU1OErJPfpRSambNCgOQAagKBqB6ZJ/8KKXUzJoVBiADUBUMQPXIPvlRSqmZNSsMQAagKhiA6pF98qOUUjNrVhiADEBVMADVI/vkRymlZtasMAAZgKpgAKpH9smPUkqpUjPAAGQAqsJMAeiLE4TskxqllNJ7awYYgAxAVTAAW4fskxqllNJ7awYYgAxAVTAAW4fskxqllNJ7awYYgAxAVTAAW4fskxqllNJ7awYYgAxAVTAAW4fskxqllNJ7awYYgAxAVTAAW4fskxqllNLWa0QYgAxAVTAAW4fskxillNLWa0QYgAxAVTAAW4fskxillNLWa0QYgAxAVTAAW4fskxillNLWa0QYgAxAVZg5AO/nBCH7JEYppbT1GhEGIANQFQzA1p0gZJ/EKKWUtl4jwgBkAKrC6AHYmgj0BtknMUoppa3XiDAAGYCqYAC27gQh+yRGKaW09RoRBiADUBUMwJZPELJPWpRSSv2j3mEAMgBVwQCklFJqRvUOA5ABqAoGIKWUUjOqdxiADEBVMAAppZSaUb3DAGQAqsLMAcg4pJRS86p3GIAMQFWYMQD57iCllFK9wwBkAKrCbAHIj4gppZS6U28wABmAqjBTALb2I2JKKaXmUW8wABmAqjBDALb2I2JKKaXmU28wABmAqmAAMgAppZQyAPUIA1AFDEBGIKWUUgagHmEAqoAByACklFLqXi3DAGQAqoIByAiklFLqXi3DAGQAqoIByAiklFLqXi3DAGQAqoIByBCklFLqnVqCAcgAVAUDkCFIKaXUO7UEA5ABqAoGIGOQUkrp/SsLBiADUBUMQIYgpZTS+1cWDEAGIFasWIFu3brBYrGgb9++2L9/v9fPZQAyAimllN6/smAAmjwAN2zYgKCgIHz00UcoLS3FnDlzEB4ejnPnznn1fAYgI5BSSqnvbCsYgCYPwP79+2PWrFmKbT179sT8+fO9ej4DkBFIKaXUd7YVDEATB2B9fT0CAwOxefNmxfZ/+Id/wKBBg9w+p66uDrW1tS7Pnz8PIQQqKysV233mfKsp7DL395RSSmkz/bK21taisrISQgjU1NS0RXJoEtMGYFVVFYQQOHjwoGL70qVL0aNHD7fPyc7OhhCCUkoppQawsrKyLZJDk5g+AAsKChTb33rrLTzyyCNun9P0HcCrV6+ivLwcNTU1fvu/E7+9u6gBzXCMPE5jaYZj5HEaSzMc4/0cZ01NDSorK3Hr1q22SA5NYtoAvJ+PgNuS2lrj/32CGY4R4HEaCTMcI8DjNBJmOEbAPMfpS0wbgMDti0Bmz56t2NarVy+vLwLxJ2b4j9kMxwjwOI2EGY4R4HEaCTMcI2Ce4/Qlpg7AO7eBWb16NUpLSzF37lyEh4ejoqJC9tRM8R+zGY4R4HEaCTMcI8DjNBJmOEbAPMfpS0wdgMDtG0E7HA4EBwejb9++2Ldvn+wpAbj994bZ2dmoq6uTPRW/YYZjBHicRsIMxwjwOI2EGY4RMM9x+hLTByAhhBBCiNlgABJCCCGEmAwGICGEEEKIyWAAEkIIIYSYDAYgIYQQQojJYABqkBUrVqBbt26wWCzo27cv9u/fL3tKPmXfvn1IT09HbGwshBDYsmWL7Cn5nJycHPTr1w8RERHo1KkTxo4dixMnTsiels9ZuXIlevfuDavVCqvVigEDBmDbtm2yp+V3cnJyIITAnDlzZE/Fp7j7usvo6GjZ0/I5Fy5cwKRJkxAZGYnQ0FCkpKTg66+/lj0tn+JwONx+9dlLL70ke2o+5fvvv8fChQvRrVs3hISEoHv37liyZImpv+HDWxiAGuPOvQk/+ugjlJaWYs6cOQgPD8e5c+dkT81nbNu2DQsXLsSmTZsMG4AjRozA2rVrcfToURQVFWHUqFHo2rUrvv32W9lT8ymfffYZtm7dipMnT+LkyZNYsGABgoKCcPToUdlT8xtffvklunXrhuTkZEMG4GOPPYZLly65vHz5suxp+ZTq6mo4HA5MnToVhw8fxtmzZ7Fr1y6cPn1a9tR8yuXLlxX/jjt37oQQAnv27JE9NZ/y1ltvISoqCn/84x9x9uxZ/Pu//zsiIiLw7rvvyp6a5mEAaoz+/ftj1qxZim09e/bUxLeT+AOjBmBTLl++DCGEZu4z6U86duyI3/zmN7Kn4ReuX7+OxMRE7Ny5E4MHDzZkAKakpMiehl+ZN28ennzySdnTaHPmzJmDhx56CI2NjbKn4lNGjRqFadOmKbb95Cc/weTJkyXNSD8wADWE1r+f2B+YJQDLysoghEBJSYnsqfiNhoYG5OfnIzg4GMeOHZM9Hb8wZcoUzJ07FwAMG4BhYWGIjY1Ft27dMGHCBJSXl8uelk/p1asX5s6di5/+9Kfo1KkT+vTpgw8//FD2tPxKfX09oqKisHTpUtlT8Tm5ublwOBw4efIkAKCoqAidO3fG+vXrJc9M+zAANURVVRWEEDh48KBi+9KlS9GjRw9Js/IvZgjAxsZGjB492rDvOhQXFyM8PByBgYGw2+3YunWr7Cn5hfz8fCQlJeHmzZsAjBmA27Ztw6effori4mLXu5zR0dH4v//7P9lT8xkWiwUWiwVvvPEGnE4nVq1ahZCQEHzyySeyp+Y3Nm7ciMDAQFRVVcmeis9pbGzE/Pnz0a5dO7Rv3x7t2rVDTk6O7GnpAgaghrgTgAUFBYrtb731Fh555BFJs/IvZgjAl156CQ6HA5WVlbKn4hfq6+tRVlaGr776CvPnz8cDDzxguHcAz58/j86dO6OoqMi1zYgB2JRvv/0W0dHR+NWvfiV7Kj4jKCgIjz/+uGJbVlYWBgwYIGlG/mf48OFIT0+XPQ2/kJ+fj4SEBOTn56O4uBi//e1vERkZiY8//lj21DQPA1BD8CNg45GZmYmEhAScOXNG9lTajLS0NMycOVP2NHzKli1bIIRAYGCgSyEE2rVrh8DAQDQ0NMieot8YOnRos79L1jNdu3bFCy+8oNi2cuVKxMXFSZqRf6moqEBAQAD+8Ic/yJ6KX0hISMB7772n2PaLX/zCsG+a+BIGoMbo378/Zs+erdjWq1cvXgSiMxobG/Hyyy8jLi4Op06dkj2dNmXIkCHIyMiQPQ2fcu3aNZSUlCjs168fJk+ebOi/66yrq0N8fDyWLFkieyo+Y+LEic3+HGPu3LnN3hU0CtnZ2YiJicH3338veyp+ITIyEitXrlRsy8nJQWJioqQZ6QcGoMa4cxuY1atXo7S0FHPnzkV4eDgqKipkT81nXL9+HUeOHMGRI0cghMA777yDI0eOGOpWN7Nnz4bdbsfevXsVt2K4ceOG7Kn5lDfeeAP79+/H2bNnUVxcjAULFiAgIAA7duyQPTW/Y8SPgH/2s59h7969OHPmDA4dOoT09HRYrVZDnX++/PJLtG/fHkuXLkVZWRnWrVuHsLAw/Nu//ZvsqfmcW7duoWvXrpg3b57sqfiNjIwMxMfHu24Ds3nzZjzwwAN4/fXXZU9N8zAANciKFSvgcDgQHByMvn37Gu7WIXv27HF7g1IjvWvk7viEEFi7dq3sqfmUadOmuf5b7dSpE9LS0kwRf4AxA3DChAmIjY1FUFAQ4uLi8JOf/MRwf88JAP/5n/+JpKQkWCwW9OzZ07BXAX/++ecQQriukDUi165dw5w5c9C1a1eEhITgwQcfxMKFC1FfXy97apqHAUgIIYQQYjIYgIQQQgghJoMBSAghhBBiMhiAhBBCCCEmgwFICCGEEGIyGICEEEIIISaDAUgIIYQQYjIYgIQQQgghJoMBSAjxC0b9mr+MjAyMHTvW77/H1zeazs7ORkpKis/2RwjRNwxAQojXZGRkuL7VpH379ujcuTOGDh2K1atX49atW4qxly5dQl1dnVf71VMs1tTU4OrVq37/PVeuXMG1a9d8tj8GICHkbhiAhBCvycjIwMiRI3Hp0iVcuHAB33zzDZYuXYqIiAg89dRT9/2F83oKQL3CACSE3A0DkBDiNZ4+/ty9ezeEEPjoo49c2+6Ouvr6erz88suIiYmBxWKBw+FATk4OAMDhcCi+L9nhcAAATp8+jTFjxqBz584IDw9Hv379sHPnTsXvdTgcWLp0KZ5//nlERESgS5cu+OCDDxRjKisrMWHCBHTs2BFhYWH44Q9/iEOHDrke/+yzz9C3b19YLBZ0794dixcvbjFkm74GgwcPRlZWFl577TV07NgR0dHRyM7O9up1XLx4MTp16gSr1YqZM2cqvr/07o+Ajx8/jtDQUKxbt871+KZNm2CxWFBcXAzg9juTM2bMcO0vNTUVRUVFrvFNA3DPnj340Y9+hLCwMNjtdjzxxBOoqKhocd6EEOPAACSEeE1Lf/+WkpKCp556yvXz3QG4fPlydOnSBfv370dFRQUOHDiA9evXAwAuX74MIQTWrl2LS5cu4fLlywCAoqIirFq1CsXFxTh16hQWLlyIkJAQnDt3zvU7HA4HIiMjsWLFCpSVlSE3NxcBAQE4fvw4AOD69et48MEHMXDgQBw4cABlZWXYuHEjCgoKAADbt2+HzWbDxx9/jPLycuzYsQPdunXD4sWLvX4NBg8eDJvNhsWLF+PUqVP45JNP0K5dO+zYsaPFfURERGDChAk4evQo/vjHP6JTp05YsGCBYr93/w3gihUrYLfbUVFRgaqqKkRGRuKf//mfAQCNjY3427/9W4wePRpfffUVTp06hZ/97GeIiorClStXACgD8Pvvv4fdbsc//uM/4vTp0ygtLcXHH3+seG0JIcaGAUgI8ZqWAnDChAno1auX6+e7AzArKwtDhgxBY2Oj2+d6+xHwo48+il//+teunx0OByZPnuz6ubGxEZ07d8b7778PAPjggw9gtVpdEdSUgQMHut6JvMPvfvc7xMbGepyDuwB88sknFWN+9KMfYd68eS3uIzIyEt99951r2/vvv4+IiAjX31K6uwhk1KhRGDhwINLS0jBs2DDX67l7927YbLZmf3P50EMPud4RvTsAr1y5AiEE9u7d63GOhBBjwwAkhHhNSwH4d3/3d3j00UddP98ddd988w0iIyORmJiIrKwsfP7554rnugvAb7/9Fq+99hp69eoFu92O8PBwBAQE4LXXXnONcTgc+OUvf6l4XnJyMpYsWQIAmD17NgYNGuTxeMLCwhASEoLw8HCXISEhEEIo4qyl12Dw4MF46aWXFGPGjBmD559/3uPvzcjIQGpqqmJbUVERhBCuj2HdBeCf//xn2O12dOzYEVVVVa7tv/zlLxEQEKA4jjuv1+uvvw6g+UfAU6dOhcViQXp6Ot59911cvHjR43wJIcaDAUgI8ZqWArB3794YNWqU6+emUVdbW4sNGzZg+vTpsNvteOaZZzyOBW7H24MPPojNmzejuLgYZWVlSElJUUSRw+FwfQx6h5SUFNff4L366qstBmBISAiWLVuGsrKyZja9qtnTa+Au1MaOHYuMjAyPv7elALzzMay7/e7YsQPt27dHcHAwvvnmG9f2vLw8xMfHuz2O//3f/wXg/iIQp9OJnJwcPP7444iIiEBhYaHHORNCjAUDkBDiNfe6CGTNmjWubS19rLt9+3YIIVwfzQYFBeHTTz9VjElKSsLPf/5z18/Xr1+H3W5vVQB+/PHHsNlsHj8CfuKJJzBt2rQWjrg5vgrAyMhI3Lhxw7Vt1apVLX4EfOXKFcTFxSE7Oxsvvvgievbs6Xr+jh07EBgYiLNnz3r8nfe6CnjAgAHIysry+DghxFgwAAkhXtPSbWDS09PR0NDgGnt3AL7zzjvIz8/H8ePHcfLkSbzwwguIiYlxxU5iYiJmz56NS5cuobq6GgDw9NNPo0+fPjhy5AiKioowevRoWK3WVgVgfX09evTogYEDB+JPf/oTysvL8emnnyouAmnfvj2ys7Nx9OhRlJaWYsOGDVi4cGGLr4EvAjAiIgITJ07EsWPHsG3bNkRHR2P+/Pke9zt+/Hj8zd/8Db7//nt89913eOSRR1wfPTc2NuLJJ59ESkoKtm/fjrNnz+LgwYNYuHAhvvrqKwDKADxz5gzmz5+PgoICVFRU4PPPP0dkZCRWrlzpcc6EEGPBACSEeE3TG0F36tQJQ4cOxZo1a5p9ZHp3AH744Yfo06cPwsPDYbPZkJaWBqfT6Rr72Wef4eGHH0b79u1dt4E5e/YsUlNTERoaii5duuC9995rFkX3CkAAqKiowDPPPAObzYawsDD069cPhw8fdj2+fft2PPHEEwgNDYXNZkP//v3x4Ycftvga+CIAx44di0WLFiEqKgoRERGYPn264iKOu/f7ySefIDw8HKdOnXI9/vXXXyM4OBhbt24FAFy7dg1ZWVmIi4tDUFAQunTpgkmTJuH8+fMAlAH4P//zP3j66acRGxuL4OBgOBwOLFq0yOPH3oQQ48EAJISQNqatvk6OEEI8wQAkhJA2hgFICJENA5AQQtoYBiAhRDYMQEIIIYQQk8EAJIQQQggxGQxAQgghhBCTwQAkhBBCCDEZDEBCCCGEEJPBACSEEEIIMRkMQEIIIYQQk8EAJIQQQggxGQxAQgghhBCTwQAkhBBCCDEZ/w81nTpACvZPoQAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "ax.hist(displ_refined.ravel(), 100, label=\"refined before alignment\")\n",
    "ax.hist(displ_aligned.ravel(), 100, label=\"refined after alignement\")\n",
    "ax.set_title(\"Displacement of pixel corners versus a regular pixel layout\")\n",
    "ax.set_xlabel(\"Distance in pixels\")\n",
    "ax.set_ylabel(\"Number of corners of pixels\")\n",
    "ax.legend()\n",
    "pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Validation of the distortion\n",
    "\n",
    "To validate the new pixel layout, we can use the new grid to calculate the spot postition in space and look how well aligned they are.\n",
    "\n",
    "First we build a function which performes the bilinear interpolation of any detector coordinate (return a 3D position). This function is then used to calculate the position for the original grid and for the corrected grid.\n",
    "\n",
    "As previouly, all spot distances are calculated and histogrammed. The standard deviation is used to evaluate how much was gained.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.00000000e+00, 7.42500035e-05, 7.50000036e-07])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def intepolate_3d(yx, coord=pixel_coord_raw):\n",
    "    y,x = yx\n",
    "    X = int(x)\n",
    "    Y = int(y)\n",
    "    pixel =  coord[Y,X]\n",
    "    #print(pixel)\n",
    "    dx = x - X\n",
    "    dy = y - Y\n",
    "    res = pixel[0]*(1.0-dx)*(1.0-dy)+\\\n",
    "          pixel[3]*dx*(1.0-dy)+\\\n",
    "          pixel[1]*(1.0-dx)*dy+\\\n",
    "          pixel[2]*dx*dy\n",
    "    return res\n",
    "intepolate_3d((0.99,0.01))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_pixel_64 = pixel_coord_raw.astype(\"float64\")/eiger2.pixel1\n",
    "new_pixel_64 = new_pixel_coord.astype(\"float64\")/eiger2.pixel1\n",
    "\n",
    "spot3d_raw = numpy.array([intepolate_3d(i, coord=raw_pixel_64) for i in ref_peaks])\n",
    "spot3d_ref = numpy.array([intepolate_3d(i, coord=new_pixel_64) for i in ref_peaks])\n",
    "\n",
    "dist_raw = distance_matrix(spot3d_raw, spot3d_raw)\n",
    "valid_raw = dist_raw[numpy.logical_and(65<dist_raw, dist_raw<70)]\n",
    "\n",
    "dist_ref = distance_matrix(spot3d_ref, spot3d_ref)\n",
    "valid_ref = dist_ref[numpy.logical_and(65<dist_ref, dist_ref<70)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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",
       "    var resizeObserver = new 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",
       "    resizeObserver.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",
       "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.one(\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",
       "\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",
       "    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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax = subplots()\n",
    "h_raw = numpy.histogram(valid_raw, 100, range=(66, 68))\n",
    "h_ref = numpy.histogram(valid_ref, 100, range=(66, 68))\n",
    "x = 0.5*(h_raw[1][1:]+h_raw[1][:-1])\n",
    "ax.plot(x, h_raw[0], label=\"raw\")\n",
    "ax.plot(x, h_ref[0], label=\"ref\", alpha=0.8)\n",
    "ax.legend()\n",
    "ax.set_title(\"Spot distance\")\n",
    "ax.set_xlabel(\"Distance in pixels\")\n",
    "ax.set_ylabel(\"occurance\")\n",
    "pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Distance before: 67.2031 after 67.2000,\n",
      "Deviation before 0.1260, after 0.1193\n"
     ]
    }
   ],
   "source": [
    "print(f\"Distance before: {valid_raw.mean():.4f} after {valid_ref.mean():.4f},\\nDeviation before {valid_raw.std():.4f}, after {valid_ref.std():.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Saving of the result as a distortion file usable in pyFAI\n",
    "eiger2.set_pixel_corners(new_pixel_coord.astype(numpy.float32))\n",
    "eiger2.mask = eiger2.calc_mask() + flat>(flat.max()*0.9)\n",
    "eiger2.save(\"Eiger2CdTe_4M_ID11.h5\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "The distortion measured on the Eiger2 CdTe 4M detector for ID11 looks so small that it hardly deserves correction for module misalignment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 43.484s\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total execution time: {time.perf_counter()-start_time:.3f}s\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
