{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "23d39ce1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from multiprocessing import Pool\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import starships.planet_obs as pl_obs\n",
    "from astropy import units as u\n",
    "from starships import correlation as corr\n",
    "from starships.orbite import rv_theo_t\n",
    "from starships.planet_obs import Observations\n",
    "\n",
    "# seed the random number generator\n",
    "rstate = np.random.default_rng(736109)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "aa0b737a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "retrieval_input_3-pc_mask_wings90_tr1_data_info.npz\r\n",
      "retrieval_input_3-pc_mask_wings90_tr1_data_trs_0.npz\r\n"
     ]
    }
   ],
   "source": [
    "!ls ~/scratch/DataAnalysis/SPIRou/Reductions/WASP-127b_genest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "d433ee69",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use scratch if available, use home if not.\n",
    "try:\n",
    "    base_dir = Path(os.environ['SCRATCH'])\n",
    "except KeyError:\n",
    "    base_dir = Path.home()\n",
    "\n",
    "# Where the reduced data is saved\n",
    "high_res_path = base_dir / Path(f'DataAnalysis/SPIRou/Reductions/WASP-127b_genest')\n",
    "\n",
    "# The stem of the files where the infos are saved (retrieval ready files)\n",
    "high_res_file_stem = f'retrieval_input_3-pc_mask_wings90_tr1'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "98c17b80",
   "metadata": {},
   "outputs": [],
   "source": [
    "path_model_file = Path('.')\n",
    "specfile = Path('WASP-127_best_fit_H2O_atmosphere.npz')\n",
    "\n",
    "\n",
    "# Read the model file.\n",
    "model_file = np.load(path_model_file / specfile)\n",
    "wv_high, model_high = model_file['wl'], model_file['dppm']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "c27c2d62",
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABQAAAAPACAYAAABq3NR5AAAAAXNSR0IArs4c6QAAIABJREFUeF7s3Qd4FNXawPGX3ov0XkMINdRAgNA7KgKCICIIiAhiQUTpvQgIggKComABBESlhN5bCJ1A6L13CB0Cuc+sl5MsKbubbJvZ/zzP93w3u2fOed/fmXu853V2JlFERESEcCCAAAIIIIAAAggggAACCCCAAAIIIICAIQUSUQA05LySFAIIIIAAAggggAACCCCAAAIIIIAAAiYBCoBcCAgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ckkNAQQQQAABBBBAAAEEEEAAAQQQQAABCoBcAwgggAACCCCAAAIIIIAAAggggAACCBhYgAKggSeX1BBAAAEEEEAAAQQQQAABBBBAAAEEEKAAyDWAAAIIIIAAAggggAACCCCAAAIIIICAgQUoABp4ct05tUePHklISIgpxKxZs0rSpEndOVxiQwABBBBAAAEEEEAAAQQQQECXAuHh4XLt2jVT7KVKlZKUKVPqMg+CTpgABcCE+XF2PAV27Nghfn5+8Tyb0xBAAAEEEEAAAQQQQAABBBBAwFaB4OBgqVixoq2n0d4AAhQADTCJekyBAqAeZ42YEUAAAQQQQAABBBBAAAEE9CxAAVDPs5ew2CkAJsyPs+MpcPr0aSlYsKDpbG0BypkzZzx74jQE4i9w68ETeXt6kNx68NSsk/cDCkmngP+uTw4EEEAAAQQQQAABBBBAQM8Cly5dUr/AO3XqlBQoUEDP6RB7PAUoAMYTjtMSJnD+/HnJmzevqZNz585Jnjx5EtYhZyMQD4E+C/fLnOBz0c5s45dXRjUvHY8eOQUBBBBAAAEEEEAAAQQQcC8B9t/uNR+uioYCoKvkPXxcFiAPvwDcIP2IiAgpPWSl3H0UHi2amkWzysz3eEalG0wTISCAAAIIIIAAAggggEACBdh/JxDQIKdTADTIROotDRYgvc2Y8eK9/zhcSgxaEWNiRbOnkxWfVTde0mSEAAIIIIAAAggggAACHifA/tvjpjzGhCkAch24RIAFyCXsDBpF4NzNBxIwZl2MJulSJpWQwQ3wQgABBBBAAAEEEEAAAQR0L8D+W/dTaJcEKADahZFObBVgAbJVjPb2Fthz9pY0m7I11m4PDGkgaVMktfew9IcAAggggAACCCCAAAIIOFWA/bdTud12MAqAbjs1xg6MBcjY86uH7FaHXpHOv+6MNdTVPauLV7Z0ekiFGBFAAAEEEEAAAQQQQACBWAXYf3NxaAIUALkOXCLAAuQSdgaNIjBvxznp/df+WE1+6+QnAUWyYoYAAggggAACCCCAAAII6FqA/beup89uwVMAtBslHdkiwAJkixZtHSEwZf1xGbP8SKxdj2lRWlpVzOuIoekTAQQQQAABBBBAAAEEEHCaAPtvp1G79UAUAN16eowbHAuQcedWL5kNWxIqMzafijXcz+p6yyd1i+glHeJEAAEEEEAAAQQQQAABBGIUYP/NhaEJUADkOnCJAAuQS9gZNIrAZ3/ulb/3XIjVpHXFvDK6RWnMEEAAAQQQQAABBBBAAAFdC7D/1vX02S14CoB2o6QjWwRYgGzRoq0jBNrN2C6bjl1XXadPmVTCHoWrv6t7Z5VfO/o5Ymj6RAABBBBAAAEEEEAAAQScJsD+22nUbj0QBUC3nh7jBscCZNy51UtmTSZtkoMXw1S4VQpnlq0nbqi/vbOnlZWf1dBLOsSJAAIIIIAAAggggAACCMQowP6bC0MToADIdeASARYgl7AzaBSByiPXyOWwR+qTLtULyfSNJ9Xf6VIklZAhDTBDAAEEEEAAAQQQQAABBHQtwP5b19Nnt+ApANqNko5sEWABskWLtvYWiIiIEO/+y+TpswjV9cTWZeSTuXvNhgoZXF/SpUxm7+HpDwEEEEAAAQQQQAABBBBwmgD7b6dRu/VAFADdenqMGxwLkHHnVg+ZhT16KqUHrzQLdXXPGlJ3/Aazz1Z9Vl2KZE+nh5SIEQEEEEAAAQQQQAABBBCIUYD9NxeGJkABkOvAJQIsQC5hZ9D/C5y6fl9qjVtv5nFoaEOpMnqN3HrwVH2uvQREexkIBwIIIIAAAggggAACCCCgVwH233qdOfvGTQHQvp70ZqUAC5CVUDRziMDO0zflzR+2qb5TJ08ioUMbSuOJmyT0UuSLQb5uUUreqpjPITHQKQIIIIAAAggggAACCCDgDAH2385Qdv8xKAC6/xwZMkIWIENOq26SWnHwsnzw2y4Vb95MqWRT79rSaeYOWXP4qvq8Zz1v+bhOEd3kRaAIIIAAAggggAACCCCAwMsC7L+5JjQBCoBcBy4RYAFyCTuD/l9g9vaz0vfvEOVRJm9G+ad7Ven5515ZuOeC+lx7M3DfxsVwQwABBBBAAAEEEEAAAQR0K8D+W7dTZ9fAKQDalZPOrBVgAbJWinaOEPhuzTH5ZtVR1XUdn2wyo0NFGfDPAfkt6Iz6/O1K+WRks1KOCIE+EUAAAQQQQAABBBBAAAGnCLD/dgqz2w9CAdDtp8iYAbIAGXNe9ZLV4EUHZebW0yrcVhXyyJg3feXr5Ydl6voT6vPXfXPJpDZl9ZIWcSKAAAIIIIAAAggggAAC0QTYf3NRaAIUALkOXCLAAuQSdgb9v0CPOXtk8b6LyqNrjcLyVSMfmbzuuIxdcUR9/uLOQOAQQAABBBBAAAEEEEAAAb0KsP/W68zZN24KgPb1pDcrBViArISimUME2v4UJFuO31B9929STDoHFJKZW07J4MWh6vNKBTPJnx/4OyQGOkUAAQQQQAABBBBAAAEEnCHA/tsZyu4/BgVA958jQ0bIAmTIadVNUg2/3SiHL99V8U54y1ealc0jC3adl17z96nPS+RKL0s/DtBNXgSKAAIIIIAAAggggAACCLwswP6ba0IToADIdeASARYgl7Az6P8FKgxfLdfvPVYeszr6SQ3vrLL8wCXp+vtu9XmBzKll/Re1cEMAAQQQQAABBBBAAAEEdCvA/lu3U2fXwCkA2pWTzqwVYAGyVop29hZ4/jxCivRfJs+eR6iul/SoJiVzZ5BNx65JuxnB6vMsaZPLzv717B0C/SGAAAIIIIAAAggggAACThNg/+00arceiAKgW0+PcYNjATLu3Lp7ZrfuP5Gyw1aZhRnUp47kyJBS9py9Jc2mbFXfpUyWWA4Pa+TuKREfAggggAACCCCAAAIIIBCrAPtvLg5NgAIg14FLBFiAXMLOoCJy9sYDqT52nZlF6NAGkjp5Ujl25a7Um7DR7LvjIxpJ0iSJsUMAAQQQQAABBBBAAAEEdCnA/luX02b3oCkA2p2UDq0RYAGyRok2jhA4dClMGk3cpLpOlEjk5MjGkihRIrl4+6FUGb3WbNh9A+tLhtTJHBEKfSKAAAIIIIAAAggggAACDhdg/+1wYl0MQAFQF9NkvCBZgIw3p3rJaNeZm9Ji6jYVbtoUSeXAkAamv8MePZXSg1eapbLlq9qSO2MqvaRHnAgggAACCCCAAAIIIICAmQD7by4ITYACINeBSwRYgFzCzqAi0V70kS1dCgnuV9dko70YpHDfQDOnlZ9VF+/s6bBDAAEEEEAAAQQQQAABBHQpwP5bl9Nm96ApANqdlA6tEWABskaJNo4QWH7gsnT9fZfqumCWNLKuV031d/GBy+XBk2fq778+rCLl87/iiFDoEwEEEEAAAQQQQAABBBBwuAD7b4cT62IACoC6mCbjBckCZLw51UtGC3efl57z9qlwS+RKL0s/DlB/VxyxWq7dfaz+/rWjn1T3zqqX9IgTAQQQQAABBBBAAAEEEDATYP/NBaEJUADkOnCJAAuQS9gZVER+CzojA/45oCz8CmSSeV391d+1xq2XU9fvq7+nti0njUrlxA4BBBBAAAEEEEAAAQQQ0KUA+29dTpvdg6YAaHdSOrRGgAXIGiXaOEJg2oYTMmrZYdV1De+sMqujn/r7te82S8iFO+rvMW+WllYV8joiFPpEAAEEEEAAAQQQQAABBBwuwP7b4cS6GIACoC6myXhBsgAZb071ktH4VUdl0ppjKtzGpXLIlLbl1d+tp2+ToJM31d+DXisu71UtqJf0iBMBBBBAAAEEEEAAAQQQMBNg/80FoQlQAOQ6cIkAC5BL2BlURIYvCZWfNp9SFm+WzyPjWvqqvzvP2iGrD11Vf39ez1t61CmCHQIIIIAAAggggAACCCCgSwH237qcNrsHTQHQ7qR0aI0AC5A1SrRxhECfhSEyJ/is6rq9f34Z0rSk+vvTuXvkn70X1d8f1CgkfRoVc0Qo9IkAAggggAACCCCAAAIIOFyA/bfDiXUxAAVAXUyT8YJkATLenOolo5cLfB/WLCxfNvRR4ff7O0T+2B5ZIHyncj4Z/kYpvaRHnAgggAACCCCAAAIIIICAmQD7by4ITYACINeBSwRYgFzCzqAi8v6vO2VV6BVl0au+t3xUO/InvqOWHZJpG06q798ok0u+bV0WOwQQQAABBBBAAAEEEEBAlwLsv3U5bXYPmgKg3Unp0BoBFiBrlGjjCIG2PwXJluM3VNcDXy0uHatFvuTjuzXH5JtVR9X3dYtll5/aV3BEKPSJAAIIIIAAAggggAACCDhcgP23w4l1MQAFQF1Mk/GCZAEy3pzqJaM3Jm+Rveduq3C/blFK3qqYT/398+ZTMnRJqPrbv1BmmdOlsl7SI04EEEAAAQQQQAABBBBAwEyA/TcXhCZAAZDrwCUCLEAuYWdQEak/YYMcvXJPWUxqU1Ze982l/p6385z0XrBf/V0qdwZZ3KMadggggAACCCCAAAIIIICALgXYf+ty2uweNAVAu5PSoTUCLEDWKNHGEQJVR6+VC7cfqq5ntK8gdYplV38HhlySbn/sVn8XypJG1vaq6YhQ6BMBBBBAAAEEEEAAAQQQcLgA+2+HE+tiAAqAupgm4wXJAmS8OdVLRmWHrpRbD56qcOe8X1n8C2dWf284ek3a/xys/s6WLoUE96url/SIEwEEEEAAAQQQQAABBBAwE2D/zQWhCVAA5DpwiQALkEvYGVREvPsvkyfhz5XFoo+qSuk8GdXfu87ckhZTt6q/UydPIqFDG2KHAAIIIIAAAggggAACCOhSgP23LqfN7kFTALQ7KR1aI8ACZI0SbewtEP7suXj1W2bW7eqeNcQrW1r12ZHLd6XBtxvN2pwY2ViSJE5k73DoDwEEEEAAAQQQQAABBBBwuAD7b4cT62IACoC6mCbjBckCZLw51UNGYY+eSunBK81C3dantuTMkEp9pj0fUHtOYNRj/+D6kj5lMj2kSIwIIIAAAggggAACCCCAgJkA+28uCE2AAiDXgUsEWIBcwu7xg16+80gqj1pj5rBvUH3JkCqyuHfnwVPxHRp3kdDjIQFAAAEEEEAAAQQQQAAB3Qiw/9bNVDk0UAqADuWl89gEWIC4NlwhcOLaPanzzQazoY+NaCTJkiRWn8X8M+Hq4pUtnStCZkwEEEAAAQQQQAABBBBAIEEC7L8TxGeYkykAGmYq9ZUIC5C+5sso0YacvyOvfb9ZpZM8SWI5OqJRtPR8BiyTR08jXxTyd7cqUjbfK0ZhIA8EEEAAAQQQQAABBBDwIAH23x402XGkSgGQ68AlAixALmH3+EGDTt6Q1tODlEPG1Mlk78D60VwqDF8l1+89UZ//3qmSVCuSxeP9AEAAAQQQQAABBBBAAAH9CbD/1t+cOSJiCoCOUKVPiwIsQBaJaOAAgbWHr0jHmTtVz7kzppItX9WONlKNsevkzI0H6vMf3ikvDUvmcEBEdIkAAggggAACCCCAAAIIOFaA/bdjffXSOwVAvcyUweJkATLYhOokncX7LkqPOXtUtEWypZVVPWtEi77JpE1y8GKY+nxcS195s3wenWRJmAgggAACCCCAAAIIIIBApAD7b64GTYACINeBSwRYgFzC7vGD/rnjrHz5V4hy8M2bUf7tXjWaS6tp2yT41E31+ZDXS0j7KgU83g8ABBBAAAEEEEAAAQQQ0J8A+2/9zZkjIqYA6AhV+rQowAJkkYgGDhD4efMpGbokVPVcpXBmmf1+5WgjdZy5Q9Yevqo+/6JBUeley8sBEdElAggggAACCCCAAAIIIOBYAfbfjvXVS+8UAPUyUwaLkwXIYBOqk3QmrzsuY1ccUdHWLZZdfmpfIVr0H8/ZI4v2XVSff1izsHzZ0EcnWRImAggggAACCCCAAAIIIBApwP6bq0EToADIdeASARYgl7B7/KBjlh+WKetPKIfXfXPJpDZlo7n0WRgic4LPqs/f9c8vQ5uW9Hg/ABBAAAEEEEAAAQQQQEB/Auy/9TdnjoiYAqAjVOnTogALkEUiGjhAYPCigzJz62nVcxu/vDKqeeloI41YGio/bjqlPm9eNreMf6uMAyKiSwQQQAABBBBAAAEEEEDAsQLsvx3rq5feKQDqZaYMFicLkMEmVCfpfDF/n8zfdV5F26laQRnwavFo0Y9feUQmrT2uPm9cKodMaVteJ1kSJgIIIIAAAggggAACCCAQKcD+m6tBE6AAyHXgEgEWIJewe/yg3f/YLUtDLimHj2t7Sc/6RaO5vPyswNo+2eTnDhU93g8ABBBAAAF9Cjx88kz2nrstRbKnlSxpU+gzCaJGAAEEEIi3APvveNMZ6kQKgIaaTv0kwwKkn7kyUqQdfgmW9UeuqZS+auQjXWsUjpbijM2nZJgVbws2kg25IIAAAggYU+De43BpPmWLHL1yT5InTSy/d6okfgUzGTNZskIAAQQQiFGA/TcXhiZAAZDrwCUCLEAuYff4QVv9sE2CT99UDsOalpB2/gWiufyx/Yz0+/uA+rxcvoyysFtVj/cDAAEEEEBAfwJT1h+XMcuPqMC5q11/c0jECCCAQEIF2H8nVNAY51MANMY86i4LFiDdTZkhAm4yaZMcvBimcvmmpa+0KJ8nWm5/7Tovn8/fpz4vnjO9BH4SYAgDkkAAAQQQ8ByBiIgIKdgnMFrCp0c38RwEMkUAAQQQEPbfXASaAAVArgOXCLAAuYTd4wetNW69nLp+Xzn88E5ingYGAAAgAElEQVQ5aVgyZzSXpfsvSffZu9XnhbOmkTWf1/R4PwAQQAABBPQlcPDiHWkyaXO0oA8PaygpkyXRVzJEiwACCCAQbwH23/GmM9SJFAANNZ36SYYFSD9zZaRIK41cLVfCHquUZnX0kxreWaOluObQFek0a6f6PHfGVLLlq9pGoiAXBBBAAAEPEBixNFR+3HQqWqbLPw0QnxzpPUCAFBFAAAEENAH231wHmgAFQK4DlwiwALmE3eMHLTVohdx9HK4cFnT1lwoFoj8Ifcvx69L2p+2qXZa0yWVn/3oe7wcAAggggIB+BJ49jxD/UWvk6t3If/H1IvrY7oDXT3ZEigACCCBgiwD7b1u0jNuWAqBx59atM2MBcuvpMWRw2nOQCvcNlOcRkekFfhwgxXNFvwNi15mb0mLqNtUwbYqkcmBIA0O6kBQCCCCAgDEFNh+7Lu/MiPyXWVGz7N2wqHSr6WXMxMkKAQQQQCCaAPtvLgpNgAIg14FLBFiAXMLu0YM+evpMfAYsNzPY8EVNyZ85TTSXAxfuyKvfRT4zKWniRHJ8ZGOP9iN5BBBAAAF9CYwKPCTTNp6MMehWFfLImDd99ZUQ0SKAAAIIxFuA/Xe86Qx1IgVAQ02nfpJhAdLPXBkl0hv3Hkv54avN0tnRr65kTZciWorHr96TuuM3mH1+fEQjSZoksVE4yAMBBBBAwOACH8/ZI4v2XYwxS78CmWReV3+DC5AeAggggMALAfbfXAuaAAVArgOXCLAAuYTdowc9d/OBBIxZZ2YQOrSBpE6eNJrL+VsPpNrX5m21nwBrPwXmQAABBBBAQA8Cb/8YJFtP3Igx1CxpU8jO/nX1kAYxIoAAAgjYQYD9tx0QDdAFBUADTKIeU2AB0uOs6Tvmw5fDpOG3m1QSiRKJnBjRWBInThQtsev3HkuFl+4W1DZK2oaJAwEEEEAAAT0I1J+wQY5euRdrqCGD60u6lMn0kAoxIoAAAggkUID9dwIBDXI6BUCDTKTe0mAB0tuM6T/eXWduSYupW1UiaZInkYNDG8aY2L3H4VJy0Aqz7zZ/WUvyvJJa/xBkgAACCCDgEQLlhq2Sm/efxJrr4o+qSak8GTzCgiQRQAABTxdg/+3pV8B/+VMA5DpwiQALkEvYPXrQLcevS9ufIt+GmCVtctnZv16MJk+fPZci/ZaZfbe6Zw3xypbWow1JHgEEEEBAHwLaP8e8+y+TiChvvn858kltysrrvrn0kRBRIoAAAggkSID9d4L4DHMyBUDDTKW+EmEB0td8GSHaNYeuSKdZO1UquTOmki1f1Y41tcJ9A+XZ88id05Ie1aRkbu6UMMK1QA4IIICA0QWuhD2SSiPXmKVZIld6OXgxTH32WV1v+aRuEaNTkB8CCCCAgIiw/+Yy0AQoAHIduESABcgl7B49aGDIJen2x25lUChrGln7ec1YTUoMXC73nzxT3//1ob+Uz5/Jow1JHgEEEEBAHwIHLtyRV7/brILVHnf7dqV88nvQWfVZs7K5ZcJbZfSREFEigAACCCRIgP13gvgMczIFQMNMpb4SYQHS13wZIdqFu89Lz3n7VCrFc6aXwE8CYk2t/LBVciPKs5P+6FxJqnplMQIFOSCAAAIIGFxg/ZGr0uGXHSpL7SVW3WsVliGLQ9Vnvnkzyr/dqxpcgvQQQAABBDQB9t9cB5oABUCuA5cIsAC5hN2jB50TfFb6LAxRBmXzZZS/u8W+8ak6eq1cuP1QtZ/RvoLUKZbdow1JHgEEEEBAHwILdp2XXvMj/6WXT4508mVDH3lvZmRRMGu6FLKjX119JESUCCCAAAIJEmD/nSA+w5xMAdAwU6mvRFiA9DVfRoh25pZTMjjKnQ/+hTLLnC6VY02t9jfr5eS1++r7yW+XkyalcxqBghwQQAABBAwu8MOGEzJ62WGVZUCRLNKznrc0m7JVfZYyWWI5PKyRwSVIDwEEEEBAE2D/zXWgCVAA5DpwiQALkEvYPXrQlzdDNYtmlZnv+cVq0njiJgm9FPmw9G9a+kqL8nk82pDkEUAAAQT0ITB8Saj8tPmUClZ73t9Htb2kzjcbzBI4OryRJE+aWB9JESUCCCCAQLwF2H/Hm85QJ1IANNR06icZFiD9zJVRIp24+phMWH1UpdOwRA75oV35WNNrPmWL7D57W30/ollJaVspv1E4yAMBBBBAwMACn87dI//svagyfD+goLxfvZD4jTB/M/Cu/nUlc9oUBpYgNQQQQAABTYD9N9eBJkABkOvAJQIsQC5h9+hBv15+WKauP6EMmpbJJRNbl43V5O0fg2TriRvq+4GvFpeO1Qp6tCHJI4AAAgjoQ+Cdn7bL5uPXVbB9G/vIu/4FxGfAcrME1vWqKQWzpNFHUkSJAAIIIBBvAfbf8aYz1IkUAA01nfpJhgVIP3NllEiHLg6Vn7dE/hyqVYU8MuZN31jT6zhzh6w9fFV937thUelW08soHOSBAAIIIGBggQYTNsqRK3dVhuNb+UrzcnnEu98yefLsufp80UdVpXSejAaWIDUEEEAAAU2A/TfXgSZAAZDrwCUCLEAuYffoQfv+HSKzt59VBu/655ehTUvGatLtj10SGHJZff9xnSKmB6hzIIAAAggg4O4C5Yetkhv3n6gwf+3oJ9W9s0qF4avk+r3Iz3/vVEmqFcni7ukQHwIIIIBAAgXYfycQ0CCnUwA0yETqLQ0WIL3NmP7j/XzePvlr93mViPY8pH5NiseaWM8/98rCPRfU9x9ULyR9GhfTPwQZIIAAAggYWiD82XMp0n+ZREREphn4cYAUz5Veao1bL6euR77hfmrbctKoFG+4N/QFQXIIIIAAdwByDfxfgAIgl4JLBCgAuoTdowftPnu3LN1/SRn0qO0ln9cvGqtJn4UhMic48o7B9v75ZUgcdwx6NC7JI4AAAgi4jcDVu4+ivewjuF8dyZYupTT9frPsO39Hxfp1i1LyVsV8bhM7gSCAAAIIOEaA/bdjXPXWKwVAvc2YQeJlATLIROoojc6zdsrqQ1dUxL3qe8tHtYvEmsGQxQflly2n1fdvVcgrX79ZWkcZEyoCCCCAgCcKhF4Mk8aTNqnUEyUSOTa8kSRNklhefjlI/ybFpHNAIU9kImcEEEDAowTYf3vUdMeaLAVArgOXCLAAuYTdowdtN2O7bDoW+UZES5seW98a7NG4JI8AAggg4DYCG49ek3d/DlbxZE6TXHYNqGf6O9rzbWt7Sc847oZ3m6QIBAEEEEAgQQLsvxPEZ5iTKQAaZir1lQgLkL7mywjRtvphmwSfvqlSGda0hLTzLxBrahNXH5MJq4+q7xuUyC7T2lUwAgU5IIAAAggYWGDh7vPSc94+lWHR7OlkxWfVTX9/uWC//LnznPquQ5UCMvj1EgbWIDUEEEAAAU2A/TfXgSZAAZDrwCUCLEAuYffoQV9+7tGYN0tLqwp5YzWZtuGEjFp2WH1fwzurzOro59GGJI8AAggg4P4C0zeekJGBkf/8quqVWf7oXNkU+PAlofLT5lMqieblcsv4VmXcPykiRAABBBBIkAD77wTxGeZkCoCGmUp9JcICpK/5MkK0DSZslCNX7qpUJrYuI03L5I41tVlbT8ugRQfV95UKZpI/P/A3AgU5IIAAAggYWGDE0lD5cVNkke+NMrnk29ZlTRlPWnNMxq+KvLu9XvHs8uO73N1u4MuB1BBAAAGTAPtvLgRNgAIg14FLBFiAXMLu0YPWHLtOTt94oAymtSsvDUrkiNXkzx1n5cu/QtT3vnkzyr/dq3q0IckjgAACCLi/wGd/7pW/91xQgXauVlD6v1rc9PcvW07JkMWh6rvKhTLJ3C78yy33n1UiRAABBBImwP47YX5GOdsQBcAzZ87IpEmTZOnSpXLu3DlJkSKFFC5cWFq1aiXdu3eX1KlT22W+li1bJtOnT5cdO3bItWvXJGvWrFKxYkXp0qWLNGrUKM4xHj9+LHv27DGdGxwcbPq/Y8eOSUREhOm8F//fUqA7d+6UwMBA2bx5s4SGhpriSJYsmeTKlUuqVq0qnTp1kmrVqsXZzcyZM+W9996zNNR//0Pxl1+kQ4cOVrW1pRELkC1atLWHQOWRa+Ry2CPV1cz3KkrNotli7frfvRfkk7l71fc+OdLJ8k//e4YSBwIIIIAAAu4q0P7nYNlw9JoK78uGPvJhzcKmv//adV4+nx/5fMDiOdNL4CcB7poKcSGAAAII2EmA/bedIHXeje4LgIsXL5Z33nlHwsLCYpwKb29vU2HQy8sr3lP1/PlzU5FvxowZsfbRuXNnmTZtmiROnDjGNlrBTSu8xXZYUwCsXr26bNq0yWIe7777rvz444+SPHnyGNtSALRISAMDCpQdulJuPXiqMpvzfmXxL5w51kyXH7gkXX/frb4vkDm1rP+ilgFlSAkBBBBAwEgCzaZskT1nb6uURjQrKW0r5Tf9vfLgZeny2y71Xd5MqWRT79pGSp9cEEAAAQRiEKAAyGWhCei6AKjdUafd9fbw4UNJmzat9OnTR2rVqmX6e+7cuaYimHZoRUDtzrl06dLFa9a1fkePHm06t2zZstK7d2/THYYnTpyQMWPGmO7s0w6t3ciRI2McQ7uLbtasWabvtDjKlSsnR44ckcuXL5s+s6YAqBUxtTG1u/1atmwpAQEBki9fPnn27Jls27ZNvvnmG7lw4b+ffLRp00Zmz54dYyxRC4ArVqww9RfbkSdPHsmYMWO83OI6iQXI7qR0aEGg2IDl8vDpM9Xq725VpGy+V2I9a92Rq/LeLzvU9znSp5SgvnVwRgABBBBAwK0F6o7fIMev3lMxTmpTVl73/e9/6wWdvCGtpwep7zKkSib7BtV363wIDgEEEEAg4QLsvxNuaIQedF0AfHFHXNKkSWXjxo3i72/+DJOxY8eainXaMWjQIBk8eLDNc3b06FEpUaKEhIeHS4UKFUzjpEqVSvXz4MEDqVGjhqnAqMVx6NChGO82/PPPP02FSe0nw8WKFTPdKVizZk3ZsGGDqS9rCoCvvvqqaHf3tWjRQpIkSRItl+vXr5sKolrM2qH1rRm9fEQtAJ46dUoKFChgs0tCT2ABSqgg59sioP33q3DfQHn+3y/uTUfgxwFSPFf6WLvZduKGtPkxcpOUMXUy2TuQTZIt7rRFAAEEEHC+QKWRq+VK2GM18C/vVZRa/3/kxcGLd6TJpM3qu8SJRE6MbCyJEiVyfqCMiAACCCDgNAH2306jduuBdFsA1J6hV6lSJRPuBx98ID/88EM0aO2nuyVLljQV5bS72K5evWp6Xp4tR7du3WTq1KmmU7S77CpXrhzt9KCgIFV81NpPnjzZqiFsLQBa0+mSJUvktddeMzXt0aOH6dmILx8UAK2RpI2RBJ6EPxfv/svMUlr7eQ0plDVtrGnuOXtLmk3Zqr5PmSyxHB4W97M+jWRGLggggAAC+hQoPnC5PHgSecf7Xx/6S/n8mUzJnLv5QALGrDNL7MCQBpI2RVJ9JkvUCCCAAAJWCVAAtIrJ8I10WwDs27evjBo1yjRBWgHuRTHw5RnTfrqr/TRXO7Sfu9avb/0dPNpdQ9pPYC9evCg+Pj6mQmJsh/a99pPe3Llzm15EYs2/SXVEAfD+/fumn0NrR+PGjU3PP3z5oABo+P9ek+BLAncfPZVSg1eafbrlq9qSO2Pk3bwvox26FCaNJpo/c/PUKO6S4OJCAAEEEHBfgfBnz8Wrn/m/8Fr5WXXxzv7fY3DuPHgqvkPN/3m4rU9tyZkh9n8eum+2RIYAAgggYK0ABUBrpYzdTrcFwBc//02TJo3cvn3b9PPbmA7trr0qVaqYvho4cKAMGTLE6hk9efKk6Vl/2hHbXYYvOtO+194QrB3aeQULFrQ4jiMKgDdv3pTMmf97sYF2J+CiRYuixUEB0OLU0MBgAtfvPZYKw1ebZbWrf13JnDZFrJmeun5fao1bb/b9keENJUXS6D+/NxgX6SCAAAII6FTg9oMnUmboKrPooxb4nj3/75EYUY8Vn1aXojni95xsnTIRNgIIIOBxAhQAPW7KY0xYtwXArFmzivbMO19fX9m7d2+ss3nr1i3JlOm/nz1oL86YN2+e1TMf9ee0EyZMkE8//TTWc7Xve/bsafpeu+tOu/vO0uGIAuDff/8tzZs3Nw2tPf/w66+/jhZG1AKgFoN256JmmT59etPzC+vWrSsffvih6W5GRx0sQI6Spd+YBM7feiDVvrbtJ0+X7jwU/1FrzbrTHpSuPTCdAwEEEEAAAXcUsOYnviUHrZB7j8NV+Au6+kuFAv/9b2UOBBBAAAFjCrD/Nua82pqVLguAjx49Ui/iaNKkiWiFurgO7Sex2k9jtef3aXcEWntozxXUCmHaMX/+fHnzzTdjPXXBggWmAqN2aOdpdwRaOuxdANSeeai9CEV7PqJ2aC8mKV++fLQwohYAY4sxZcqU8u2331qVR0x9aAtMXMelS5fEz8/P1ET7ybT2U2sOBBwlcOLaPanzzX8v3HlxHB/RSJImSRzrkLfuP5Gyw8zvogjuW0eypU/pqDDpFwEEEEAAgQQJWPOSjyqj1sjFO4/UOD93qCC1fbInaFxORgABBBBwbwEKgO49P86KTpcFwGvXrkm2bNlMRm+99ZbMnTs3Tq/s2bObXgCivRAkJCTEatuobxFetmyZNGzYMNZzte9f3PU3btw4+fzzzy2OY+8C4DfffCO9evUyjavdBfjXX3/FGINWABw2bJipjVYwzJs3r6md9tNl7RytmPnircTTpk2TLl26WMzl5QbWPAPxxTkUAG3m5QQbBV7eECVJnMj01sO4jodPnkmxgcvNmmz8opbky5zaxtFpjgACCCCAgHMEgk7ekNbTI99gr921rt29HvVoMGGjHLlyV300sXUZaVrGcb/6cE7mjIIAAgggEJcABUCuD01AlwVArWCUL18+0wy2a9dOfv311zhnU2urnaM9z+/48eNWz7xWJNOeG6gda9askdq1a8d67tq1a6VOnTqm77Xz+vfvb3EcexYAN2zYYPrpbnh4uKk4qhU6XxRJXw7kzp07pp/7xlak0+6o1IqDT58+ldSpU8uJEyckR44cFvOJ2oACoE1cNHawwO6zt6R5lDf6pkmeRA4Ojb2gr4Xz/HmEFHrpOUlRH6Tu4JDpHgEEEEAAAZsFVoVekfd/3anOy/NKKtn8pfn/fm35w1bZcfqWajOsaQlp51/A5rE4AQEEEEBAPwIUAPUzV46MVJcFQO4ANL8kDh48KAEBAaI971D76a72tmPtJSkJOYYPHy4DBgwwdaH95379+tnUHT8BtomLxg4W2Hriurz943Y1SqY0yWX3gHoWR/Xuv0yehD9X7RZ9VFVK58lo8TwaIIAAAggg4AqBhbvPS895+9TQxXKml2WfBJiF0nHmDll7+Kr67IsGRaV7LS9XhMuYCCCAAAJOEqAA6CRoNx9GlwVAngEYeVWdOnVKqlWrJhcvXpQkSZKYfsLbtGnTBF922k+mtbv+tJ8C16tXT1auXJngPqN2wAJkV046syCw7shVee+XHapVzgwpZVuf/+7YjesoPXiFhD2KfFD6vA/8xa8gD0q35Mb3CCCAAAKuEZi19bQMWnRQDa79M0v7Z1fU49O5e+SfvRfVRx/UKCR9GhVzTcCMigACCCDgFAH2305hdvtBdFkA1FSzZMkiN27c8Oi3AGtFP+3OP+3ZfdpPbrVn+7377rt2u+hevGm5ePHiot1laM+DBciemvRlSWD5gUvS9ffdqlnBLGlkXa+alk4TvxGr5erdx6rdrx39pLp3Vovn0QABBBBAAAFXCHy/9piMW3lUDV23WDb5qX1Fs1AG/HNAfgs6oz57u1I+GdmslCvCZUwEEEAAAScJsP92ErSbD6PbAqD2E9dNmzZJmjRp5Pbt25I0adIYqbW3/lapUsX0nfY8vyFDhlg9JVphTXtuoHZob/XV3u4b26F9P336dNPX2nkFCxa0OE5CngF4/fp1qVGjhoSGhprG+f7776V79+4Wx7SlgfYMQe3n1hQAbVGjrTsK/Lv3gnwyd68KzSdHOln+qeWfyVcfs07O3nygzpverrzUL2Hb8zDd0YOYEEAAAQSMKTAq8JBM23hSJdesbG6Z8FYZs2THrjgsk9edUJ+9WjqnfP92OWOCkBUCCCCAgEmAAiAXgiag2wJg3759ZdSoUaZZDAoKkkqVKsU4o6NHj5Y+ffqYvtOejVe/vvmb0OK6DLSfv+bJk8f081ofHx85dOhQrM2LFSsmhw8flty5c5teOGLNSzDiWwDUXuKhvZBk9+7/7mjScvzyyy/tekVrhT/t7cmagfZykVWrVtm1fxYgu3LSmQWBeTvOSe+/9qtWvnkzyr/dq1p0qz9hgxy9ck+1m9SmrLzum8vieTRAAAEEEEDAFQJ9FobInOCzauh3/fPL0KYlzUL5YcMJGb3ssPqshndWmdXRzxXhMiYCCCCAgJME2H87CdrNh9FtATA4OFgV/WK7O+/58+dSsmRJU+EuY8aMoj3XLlmyZDZNSbdu3WTq1Kmmc7S7CStXrhztfK0A6e//3/NVtPaTJ0+2aoz4FAAfPHhgKmJu2bLFNIb2cg7tJR32PkaMGKHeZGztW41tiYEFyBYt2iZU4Ndtp2Xgv3E/EymmMV7/frPsP39HfTXmzdLSqkLehIbD+QgggAACCDhE4KPZu2XJ/kuq7+61CssXDXzMxpq9/az0/TtEfVYuX0ZZ2M3yvxRzSMB0igACCCDgFAH2305hdvtBdFsA1GRf/AxY+/nvxo0bVRHuhfrYsWOld+/epj8HDRokgwcPNpuQ9evXS61atUyftW/f3vQMvZePo0ePmn4C++zZM6lQoYJpnFSpUqlmDx8+NMWxc+dO08+QtZ/kFilSxKqJt7UA+OTJE3nttdfUCzk++eQT+fbbb60a60Wj06dPm94WXLZs2VjPW7JkibRo0UK08bRcjx07Zrqz0Z4HC5A9NenLksCPG0/KiMDIO3i15/hpz/OzdLT6YZsEn76pmg1rWkLa+RewdBrfI4AAAggg4BKB9j8Hy4aj19TYXzXyka41/nuczYtj8b6L0mPOHvW3V7a0srpnDZfEy6AIIIAAAs4RYP/tHGd3H0XXBcA9e/ZI1apVRSvCpU2bVrSfBWsFPe3vuXPnqmfyeXt7mwp06dKlM5sPawqA2gnaT4i1n9lqh1Y4035uqz0b8MSJE/L111+LFseLdiNHjoxxzi9fvizLly83+07r88iRI6bPfvnlF7PvtDf7enl5mX2mFeUWLlxo+kz7CbBW/Ivrp8bJkycXLfeox4uctTsWtWKir6+vaM/60w7t2YULFiww/Z/201/t0O5m1O5qtPfBAmRvUfqLS+C7Ncfkm1WRD0WvVzy7/PhuBYto7WZsl03Hrqt2/RoXk/erF7J4Hg0QQAABBBBwhUDzKVtk99nbaugRzUpK20r5zULRCoRaofDFkT19Ctnet64rwmVMBBBAAAEnCbD/dhK0mw+j6wKgZrt48WJ55513JCwsLEZqrQC2dOnSaMU0rbG1BUDtp8Tvv/++/Pzzz7FOZ6dOnUwFx8SJE8fYJupY1lwTWkGwQ4cOZk2tea5g1BPy588v2h1/UQ9r40idOrVMmDBBunTpYk24NrdhAbKZjBMSIDBuxRH5ft1x1cNrvrnkuzax3wX7ouH7v+6UVaFX1Hmf1/OWHnWsu8M3AeFyKgIIIIAAAvESqDd+gxy7Gveza3efvSXNp2xV/adKlkQODWsYr/E4CQEEEEBAHwLsv/UxT46OUvcFQA3ozJkzMnHiRFOhT7uwtTvftLvnWrZsKR999JFoxayYDmsLgC/ODQwMNBX5duzYIdpbeLNkySIVK1Y0vSG4UaNGcc6VtYW3F504qgB49+5dWbRokel5htpdkZcuXTLlEh4eLq+88oqUKFFC6tSpI507d1Z3BjriImQBcoQqfcYmMHxJqPy0+ZT6+s3yeWRcS1+LYNY8S8liJzRAAAEEEEDASQKVR66Ry2GP1Gi/vFdRahX975ceL47jV+9J3fEbzD47NqKRJEsS87/EdlLoDIMAAggg4EAB9t8OxNVR14YoAOrIm1D/L8ACxKXgTIEB/xyQ34LOqCHfqZxPhr9RymIIvebvkwW7zqt2naoVlAGvFrd4Hg0QQAABBBBwhUCJgcvl/pNnaui/PvSX8vkzmYVy6c5D8R+11uyzfYPqS4ZUtr0ozxX5MSYCCCCAQPwE2H/Hz81oZ1EANNqM6iQfFiCdTJRBwvxi/j6ZH49CXv9/QuT3oLNKoW2lfDKimeXCoUHYSAMBBBBAQEcC4c+ei1e/ZWYRr/ysunhnN38G9p0HT8V36Eqzdtv71pHs6VPqKFtCRQABBBCwRYD9ty1axm1LAdC4c+vWmbEAufX0GC64j+fskUX7Lqq8utUsLL0b+ljMM74/HbbYMQ0QQAABBBCws8DtB0+kzNBVZr1u61NbcmZIZfbZ4/BnUrS/+Yvp1vWqKQWzpLFzRHSHAAIIIOAuAuy/3WUmXBsHBUDX+nvs6CxAHjv1Lkn8g992yoqDkS/z6FnPWz624mUeL7885NXSOeX7t8u5JAcGRQABBBBAIC6BczcfSMCYdWZNDgxpIGlTJDX7LCIiQgr3DZTnEZEfB34cIMVzpQcYAQQQQMCgAuy/DTqxNqZFAdBGMJrbR4AFyD6O9GKdQPufg2XD0WuqcZ9GPvJBjcIWT/5+7TEZt/Koale3WHb5qX0Fi+fRAAEEEEAAAWcLHLx4R5pM2qyGTZxI5MTIxpIoUaJooZQctELuPQ5Xn//1YRUpn/8VZ4fMeAgggAACThJg/+0kaDcfhgKgm0+QUcNjATLqzLpnXq2nb5OgkzdVcENeLyHtqxSwGOxPm07K8KWHVLuAIlnkt06VLJ5HAwQQQAABBJwtEHTyhrSeHqSGTZ8yqewf3CDGMMYhjWwAACAASURBVCoMXy3X7z1W3/3eqZJUK5LF2SEzHgIIIICAkwTYfzsJ2s2HoQDo5hNk1PBYgIw6s+6Z1xuTt8jec7dVcKObl5LWfvksBqu9OVh7g/CLo2KBV2R+1yoWz6MBAggggAACzhZYFXpF3v91pxo2d8ZUsuWr2jGGETBmrZy7+VB99+O7FaRe8ezODpnxEEAAAQScJMD+20nQbj4MBUA3nyCjhscCZNSZdc+8Gk3cJIcuhangvn2rjLxRNrfFYOftPCe9F+xX7UrnySCLPqpm8TwaIIAAAggg4GyBhbvPS895+9SwPjnSyfJPq8cYRoMJG+XIlbvqu0ltysrrvrmcHTLjIYAAAgg4SYD9t5Og3XwYCoBuPkFGDY8FyKgz65551R63Xk5ev6+Cm9q2nDQqldNisP/uvSCfzN1r1WbKYmc0QAABBBBAwIECs7aelkGLDqoR/Apkknld/WMcsenkLbIvyp3xX7coJW9VtHxnvAPDp2sEEEAAAQcKsP92IK6OuqYAqKPJMlKoLEBGmk33z6Xq6LVy4XbkT51+6VBRavlksxj4spBL8uEfu1W7QlnSyNpeNS2eRwMEEEAAAQScLfDyi6vq+GSTGR0qxhjGy8/GHfxacelQtaCzQ2Y8BBBAAAEnCbD/dhK0mw9DAdDNJ8io4bEAGXVm3TOv8sNWyY37T1RwsztXkipelh92vubQFek0y7rnKbln5kSFAAIIIOApAqMCD8m0jSdVum+UySXfti4bY/odZ+6QtYevqu++bOgjH9Ys7ClU5IkAAgh4nAD7b4+b8hgTpgDIdeASARYgl7B77KAlB62Qe4/DVf5/fegv5fNnsuix6dg1aTcjWLXLmi6F7OhX1+J5NEAAAQQQQMDZAn0Whsic4LNq2HaV88uwN0rGGEb3P3bL0pBL6ruPa3tJz/pFnR0y4yGAAAIIOEmA/beToN18GAqAbj5BRg2PBcioM+ueeXn1DZTw5xEquCU9qknJ3BksBrv95A15a3qQapchVTLZN6i+xfNogAACCCCAgLMFPpq9W5bsjyzqdatZWHo39IkxjF7z98mCXefVd+8HFJR+TYo7O2TGQwABBBBwkgD7bydBu/kwFADdfIKMGh4LkFFn1v3yCn/2XLz6LTMLbHXP6uKVLZ3FYPecvSXNpmxV7VIlSyKHhjW0eB4NEEAAAQQQcLZA+5+DZcPRa2rYrxr5SNcaMf+sd8A/B+S3oDOqbdtK+WREs1LODpnxEEAAAQScJMD+20nQbj4MBUA3nyCjhscCZNSZdb+8HjwJl+IDV5gFtql3LcmbKbXFYA9evCNNJm1W7ZIkTiQnRja2eB4NEEAAAQQQcLZA8ylbZPfZ22rYEc1KSttK+WMMY2TgIZke5XmBzcvllvGtyjg7ZMZDAAEEEHCSAPtvJ0G7+TAUAN18gowaHguQUWfW/fK6ef+JlBu2yiyw4H51JFu6lBaDPX71rtQdv9GsnVYA1AqBHAgggAACCLiTQL3xG+TY1XsqpEltysrrvrliDHHCqqMycc0x9V3jUjlkStvy7pQOsSCAAAII2FGA/bcdMXXcFQVAHU+enkNnAdLz7Okr9kt3Hor/qLVmQe8fXF/Sp0xmMZGzNx5I9bHrzNodGtpQUiVPYvFcGiCAAAIIIOBMgSqj1sjFO4/UkL90qCi1fLLFGMIPG07I6GWH1Xc1i2aVme/5OTNcxkIAAQQQcKIA+28nYrvxUBQA3XhyjBwaC5CRZ9e9cjt1/b7UGrfeLKgjwxtKiqSWi3iX7zySyqPWmJ27b2B9yZDacvHQvRSIBgEEEEDA6AKlB6+QsEeRb7z/s0tlqVQoc4xpz9p6WgYtOqi+q1Qwk/z5gb/RicgPAQQQ8FgB9t8eO/VmiVMA5DpwiQALkEvYPXLQw5fDpOG3m1TuiRKJnBzZWBJp/8HCkZCfD1vqm+8RQAABBBCwl0BERIQU6bfM6jfez9t5Tnov2K+G982TQf79qJq9wqEfBBBAAAE3E2D/7WYT4qJwKAC6CN7Th2UB8vQrwHn57z13W96YvEUNmDJZYjk8rJFVAdx7HC4lB5m/QGTzl7UkzyuWXyBi1QA0QgABBBBAwA4Cj54+E58By816WterphTMkibG3hfvuyg95uxR3xXJllZW9axhh0joAgEEEEDAHQXYf7vjrDg/JgqAzjdnRBFhAeIycJbA9pM35K3pQWq4jKmTyd6B9a0a/kn4c/Huv8ys7drPa0ihrGmtOp9GCCCAAAIIOEPA1jvWV4dekc6/7lSh5XkllWz+srYzQmUMBBBAAAEXCLD/dgG6Gw5JAdANJ8UTQmIB8oRZdo8cNxy9Ju1/DlbBZE+fQrb3rWtVcNpPqgr2CTRru/zTAPHJkd6q82mEAAIIIICAMwTO3XwgAWPMX1oVOrSBpE6eNMbhtx6/Lm//tF19lzlNctk1oJ4zQmUMBBBAAAEXCLD/dgG6Gw5JAdANJ8UTQmIB8oRZdo8cVx68LF1+26WCyZcptWzsXcvq4LQ7ALU7AV8ciz6qKqXzZLT6fBoigAACCCDgaAFbn3e7++wtaT5lqwordfIkEjq0oaPDpH8EEEAAARcJsP92EbybDUsB0M0mxFPCYQHylJl2fZ4vP+fIO3taWfmZ9c85KjVohdx9HPlWxQVd/aVCgUyuT4wIEEAAAQQQ+L/ArjM3pcXUbcojbYqkcmBIg1h9Dl0Kk0YT4/eCLNARQAABBPQnwP5bf3PmiIgpADpClT4tCrAAWSSigZ0E5u88J19EedNhqdwZZHEP6990WH7YKrlx/4mKZnbnSlLFK4udoqMbBBBAAAEEEi7w8uMusqVLIcH9Yn/cxZkb96XG2PVmAx8e1lBSJkuS8GDoAQEEEEDA7QTYf7vdlLgkIAqALmFnUBYgrgFnCfwedEb6/3NADVch/yuy4MMqVg/vP2qNXLrzSLX/5b2KUqtoNqvPpyECCCCAAAKOFlgWckk+/GO3GqZQljSytlfNWIe9GvZI/EauMft+z4B68kqa5I4Olf4RQAABBFwgwP7bBehuOCQFQDecFE8IiQXIE2bZPXL8efMpGbokVAVTpXBmmf1+ZauDqzF2nZy58UC1n9auvDQokcPq82mIAAIIIICAowVevtu9ZO70sqRHQKzD3n30VEoNXmn2/davakuujKkcHSr9I4AAAgi4QID9twvQ3XBICoBuOCmeEBILkCfMsnvkOG3DCRm17LAKpmbRrDLzPT+rg6s/YYMcvXJPtf+uTVl5zTeX1efTEAEEEEAAAUcLzNp6WgYtOqiGqVQwk/z5gX+swz599lyK9Ftm9v3qnjXEK1taR4dK/wgggAACLhBg/+0CdDcckgKgG06KJ4TEAuQJs+weOX635ph8s+qoCqZ+8ewy/d0KVgf36neb5MCFMNX+m5a+0qJ8HqvPpyECCCCAAAKOFpi87riMXXFEDVPHJ5vM6FAxzmGL9AuUp88iVJslPapJydwZHB0q/SOAAAIIuECA/bcL0N1wSAqAbjgpnhASC5AnzLJ75PjNyiPy3drjKpgmpXPK5LfLWR1c8ylbZPfZ26r9qOalpI1fPqvPpyECCCCAAAKOFhiz/LBMWX9CDaPdqa7dsR7XUXrwCgl7FPmW+/ld/aUib7l39FTRPwIIIOASAfbfLmF3u0EpALrdlHhGQCxAnjHP7pDlqMBDMm3jSRVK87K5ZfxbZawOrfX0bRJ08qZqP+T1EtK+SgGrz6chAggggAACjhYYvOigzNx6Wg3Txi+vjGpeOs5hK41cLVfCHqs2szr6SQ3vrI4Olf4RQAABBFwgwP7bBehuOCQFQDecFE8IiQXIE2bZPXJ8eVPUumJeGd0i7k1R1Mjf/TlYNh69pj7q17iYvF+9kHskRxQIIIAAAgiISK/5+2TBrvPKolO1gjLg1eJx2tQcu05OR3nJ1Q/vlJeGJXnJFRcUAgggYEQB9t9GnFXbc6IAaLsZZ9hBgAXIDoh0YZVA379DZPb2s6rtu/75ZWjTkladqzXqPGunrD50RbX/okFR6V7Ly+rzaYgAAggggICjBbr9sUsCQy6rYT6uU0R61vOOc9hGEzfJoUuRz7id8JavNCvLM24dPVf0jwACCLhCgP23K9Tdb0wKgO43Jx4REQuQR0yzWyT58l0RnasVlP4W7oqIGnj3P3bL0pBLkZuq2l7Ss35Rt8iNIBBAAAEEENAEXr5bvW9jH+lSvXCcOC8/43Zks1LydiWeccsVhQACCBhRgP23EWfV9pwoANpuxhl2EGABsgMiXVgl8PGcPbJo30XVtlvNwtK7oY9V52qNPvtzr/y954Jq/0GNQtKnUTGrz6chAggggAACjhZ4c+pW2Xnmlhpm+Bsl5Z3K+eMctu1PQbLl+A3VRvvJsPbTYQ4EEEAAAeMJsP823pzGJyMKgPFR45wEC7AAJZiQDqwU6PrbLll+MPJnUZ/WLSKf1o37Z1FRu/5ywX75c+c59dF7VQvIoNdKWDk6zRBAAAEEEHC8QMNvN8rhy3fVQN++VUbeKJs7zoFffsRFr/re8lHtIo4PlhEQQAABBJwuwP7b6eRuOSAFQLecFuMHxQJk/Dl2lww7zdwhaw5fVeH0blhUutW0/hl+A/45IL8FnVHnt62UT0Y0K+Uu6REHAggggAACEjBmrZy7+VBJTG9XXuqXiPuFHj3m7JHFUe6Q716rsHzRwPo75GFHAAEEENCPAPtv/cyVIyOlAOhIXfqOVYAFiIvDWQLtZmyXTceuq+H6NykmnQOsf4vvsCWhMmPzKXV+y/J5ZGxLX2eFzzgIIIAAAghYFCg/bJXcuP9EtZvduZJU8coS53kv3+HesWpBGfha3G8OthgIDRBAAAEE3FKA/bdbTovTg6IA6HRyBtQEWIC4Dpwl0GraNgk+dVMNN7RpCXnXv4DVw3+9/LBMXX9CtW9aJpdMbF3W6vNpiAACCCCAgKMFivZfJo/Dn6th/u1eVXzzZoxz2MGLDsrMradVmzZ+eWVU89KODpX+EUAAAQRcIMD+2wXobjgkBUA3nBRPCIkFyBNm2T1yfGPyFtl77rYKZnTzUtLaz/q3HE5YdVQmrjmmzm9UModMfae8eyRHFAgggAACHi8Q/uy5ePVbZuawumd18cqWLk6b0csOyw8bIv8F1xtlcsm3/Asuj7+eAEAAAWMKsP825rzamhUFQFvFaG8XARYguzDSiRUCjSduktBLYarl+Fa+0rxcHivO/K/J5HXHZeyKI6p9HZ9sMqNDRavPpyECCCCAAAKOFLjz8Kn4DllpNsS2PrUlZ4ZUcQ47ac0xGb/qqGrToER2mdaugiNDpW8EEEAAARcJsP92EbybDUsB0M0mxFPCYQHylJl2fZ51x2+Q41fvqUC+f7usvFo6l9WB/bTppAxfeki1DyiSRX7rVMnq82mIAAIIIICAIwUu3n4oVUavNRti36D6kiFVsjiH/XHjSRkRyD/fHDk39I0AAgi4iwD7b3eZCdfGQQHQtf4eOzoLkMdOvdMTrz5mnZy9+UCNa82bEaMG+eu20zLw34PqI7+CmWTeB/5Oz4MBEUAAAQQQiEng+NW7Unf8RrOvjo9oJEmTJI4TTHvDvfam+xdHxQKvyPyuVUBGAAEEEDCgAPtvA05qPFKiABgPNE5JuAALUMIN6cE6gcoj18jlsEeq8cz3KkrNotmsO1lE5gafla8Whqj2ZfJmlH+6V7X6fBoigAACCCDgSAHtObfa825fHCmTJZbDwxpZHPKvXefl8/n7VLsSudLL0o8DLJ5nqUFERIQkSpTIUjO+RwABBBBwogD7bydiu/FQFADdeHKMHBoLkJFn171yKzdsldy8/0QFNfv9SlKlcBarg1y4+7z0nBe5QSqeM70EfpLwDZLVAdAQAQQQQACBOAS2Hr8ub/+0XbXInCa57BpQz6JZYMgl6fbHbtWuUNY0svbzmhbPi63BtbuPpdf8faYXbzUtk0sGv1ZCEiemEBhvUE5EAAEE7CjA/tuOmDruigKgjidPz6GzAOl59vQVe6lBK+Tu43AV9IKu/lKhQCark1iy/6J8NHuPau+VLa2s7lnD6vNpiAACCCCAgCMFVh68LF1+26WGyJcptWzsXcvikOsOX5X3Zu5Q7XJlSClb+9SxeF5sDUYGHpLpG0+qr0c2KyVvV8oX7/44EQEEEEDAfgLsv+1nqeeeKADqefZ0HDsLkI4nT2ehe/dfJk/Cn6uoF31UVUrnyWh1FvHdWFk9AA0RQAABBBBIgMA/ey7Ip3/uVT345Egnyz+tbrHHoJM3pPX0INUuY+pksndgfYvnxdYgYMxaOXfzodnXJ0c25i7AeItyIgIIIGA/Afbf9rPUc08UAPU8ezqOnQVIx5Ono9C15xAV7BNoFvHyTwPEJ0d6q7NYf+SqdPgl8g6JHOlTSlDf+N8hYfXANEQAAQQQQMAKgd+Dzkj/KC/zqJD/FVnwoeWXeezTfqob5dmBKZImliPDLT87MLaQCny1NNpXv3b0k+reWa3IgiYIIIAAAo4UYP/tSF399E0BUD9zZahIWYAMNZ1um4x25592B2DUY+3nNaRQ1rRWx7z1xHV5+8fIZytlSpNcdlvxbCWrB6AhAggggAACCRCYtuGEjFp2WPWgFdy0wpul4+iVu1J/gvnbg+N7x979x+FSYtCKaEPWKppVfnnPciyWYuV7BBBAAIGECbD/TpifUc6mAGiUmdRZHixAOpswnYZ773G4lHxpQ7L5y1qS55XUVme068xNaTF1m2qfNkVSOTCkgdXn0xABBBBAAAFHCoxfdVQmrTmmhmhcKodMaVve4pDnbj6QgDHrzNodHNJA0qRIavHclxscvhwmDb/dFON563rVlIJZ0tjcJycggAACCNhPgP23/Sz13BMFQD3Pno5jZwHS8eTpKHTt7b/aW4CjHsH96ki2dCmtziLk/B157fvNqn3yJInl6Ij4/0TK6oFpiAACCCCAgBUCw5aEyozNp1TLluXzyNiWvhbPvH7vsVQYvtqs3c7+dSVL2hQWz325warQK/L+rztjPO/j2l7Ss35Rm/vkBAQQQAAB+wmw/7afpZ57ogCo59nTcewsQDqePB2FfvnOI6k8ao1ZxPsG1pcMqZNZncWRy3elwbfmP5E6NaqxJEqUyOo+aIgAAggggICjBPos3C9zgs+p7jtUKSCDXy9hcbgHT8Kl+EDzn+1u6l1L8may/i75F4P8vPmUDF0SGuOYr/vmkkltylqMhwYIIIAAAo4TYP/tOFs99UwBUE+zZaBYWYAMNJlunMrZGw+k+ljznzcdGtpQUiVPYnXUp67fl1rj1pu1PzK8oaRIan0fVg9GQwQQQAABBGwU6DFnjyzed1Gd1b1WYfmigY/FXp4/j5BCfc1flLXys+rinT2dxXNfbjB40UGZufV0jOdV88oiv3euZHOfnIAAAgggYD8B9t/2s9RzTxQA9Tx7Oo6dBUjHk6ej0I9fvSd1x28wi/j4iEaSNEliq7O4cPuhVB291qx9yOD6ki6l9XcRWj0YDRFAAAEEELBRoOPMHbL28FV11hcNikr3Wl5W9aK9KEt7YdaLY9FHVaV0noxWnRu1UedZO2T1ocgYon5XPGd6CfwkwOY+OQEBBBBAwH4C7L/tZ6nnnigA6nn2dBw7C5COJ09HoYdeDJPGkyIfSp44kcjJUU1syuDa3cdScYT5M5J29a8rmePxjCSbBqYxAggggAACVgi8NW2bbD91U7Uc8noJaV+lgBVnipQevELCHoWrtvM+8Be/gpmsOjdqowYTNsqRK3djPC9H+pQS1LeOzX1yAgIIIICA/QTYf9vPUs89UQDU8+zpOHYWIB1Pno5C33vutrwxeYuKOGWyxHJ4mG0v8Ljz8Kn4DllplvW2PrUlZ4ZUOpIgVAQQQAABowq8+t0mOXAhTKU3rqWvvFk+j1Xp+o1YLVfvPlZtf+3oJ9W9s1p17otGERERpmcJPnz6LMbztJdnaY/O4Nm5NrHSGAEEELCrAPtvu3LqtjMKgLqdOn0HzgKk7/nTS/TBp25Kq2nbVLjpUyaV/YMb2BT+o6fPxGfAcrNzNnxRU/JnTmNTPzRGAAEEEEDAEQK1x62Xk9fvq66nti0njUrltGqogDFr5dzNh6rt9HblpX6JHFad+6JRTG8TfrmDA0MaSNoUSW3ql8YIIIAAAvYTYP9tP0s990QBUM+zp+PYWYB0PHk6Cn3zsevyzoztKuIsaVPIzv51bcogpoekr/qsuhSJx0PSbRqYxggggAACCFghkJC7+OqN3yDHrt5To3zXpqy85pvLilEjm+w5e0uaTdka5zkbv6gl+TLb/nZhmwKhMQIIIIBArALsv7k4NAEKgFwHLhFgAXIJu8cNuvbwFek4c6fKO3fGVLLlq9o2O3j1DZTw5xHqvCU9qknJ3Bls7ocTEEAAAQQQsLdAyUEr5N7jyOf4/fWhv5TPb91z/F77brOEXLijQhr7ZmlpWSGvTSH+u/eCfDJ3rzonX6bUcjnskdnLRf7pXlXK5LX95SI2BUJjBBBAAAEKgFwDcQpQAOQCcYkABUCXsHvcoMsPXJKuv+9WeRfMkkbW9apps0PxgcvlwZPIZxst7FZFyuV7xeZ+OAEBBBBAAAF7CmjP3yvUN1AiIv8dlSz7JECK5Uxv1TAtf9gqO07fUm2HvVFS2lXOb9W5LxpNXndcxq44os6p5pVFjl+9ZyoCvjh+7lBBavtkt6lfGiOAAAII2E+A/bf9LPXcEwVAPc+ejmNnAdLx5Oko9JfvSiiaPZ2s+Ky6zRmUGbpSbj94qs6b26WyVC6U2eZ+OAEBBBBAAAF7Cjx88kyKDTR/Tu2m3rUkbybrfm7bbsZ22XTsugqpf5Ni0jmgkE0hfvXXfpm745w6p41fXtl37o6EXorfi0lsGpzGCCCAAAJWCbD/torJ8I0oABp+it0zQRYg95wXo0U1f+c5+WLBfpVWydzpZUmPAJvTTMjzlWwejBMQQAABBBCwUiCmF3Boz7rVnnlrzdF51g5Zfeiqatqrvrd8VLuINaeqNm//GCRbT9xQf/duWFS2Hr8hm49HFhb7NvaRLtUL29QvjRFAAAEE7CfA/tt+lnruiQKgnmdPx7GzAOl48nQU+uztZ6Xv3yEq4nL5MsrCblVtzuDltyT+9G4FqVucnzLZDMkJCCCAAAJ2FTh384EEjFln1uehoQ0lVfIkVo3TffZuWbr/kmrbo7aXfF6/qFXnvmhUa9x6ORXlLcST2pSV1aFXZNG+i6qf/7F3HlBRXd3bfxR77xW7IhZERLCiIhZAjbFHo0ZjjSVGjRp777HEEluMRqOxRI3RYG/YBUVFEUSw994r+K47vp5hRmDuzFxk7uW5a33r+ztz9j57//Z9Dzl7ztm7W82iGOxTyiy9HEwCJEACJKAcAe6/lWOpZk1MAKo5eiq2nQuQioOnItOXHryIUZtChMWVi2bDqq5VzPbAa9peRNx9LuR+/boCfJ3ymq2HAiRAAiRAAiSgJIHQW0/gPXO/UJksGRA5wRfJpP9DxtN/zSmsO3FNjOziUQRDG5SWIakf4jp2B+4/fyM+WNG5EnaE3MbSQ5fEZy0r2mNKc2ez9HIwCZAACZCAcgS4/1aOpZo1MQGo5uip2HYuQCoOnopMX+gfgQl+ocLiGg45sexbd7M98PllP87FqGU0s1V5fOmS32w9FCABEiABEiABJQmcuPIQTX89JFSmT2WHs2O8ZU8xdEMwVhy9IsZLDUCkRiByH6kJicOwLXgbpe9C8m+vatgbdhfTd5wXauqUyoXfvnGTq5bjSIAESIAEFCbA/bfCQFWqjglAlQZO7WZzAVJ7BNVh/5zd4fh5e8wNSG789k1Fs41vPPcgTl19JOSmNCuHlm4FzNZDARIgARIgARJQksCB8Htou/ioUCnV/pNqAMp9xm4OweIDF8XwFq72mNpC/km92JqQ7P2xlq7+37B/zgi9lpbgkOsHx5EACZAACcRPgPtvviESASYA+R4kCgEuQImCPclNOn17GGbtviD8buCUF3O/rmA2h5bzD+PYpQdCTjodIZ2S4EMCJEACJEACiUlg+9lb6Lr8uDChUPZ02DfAU7ZJU7eFYu6eCDG+kXM+zG7tIlv+zpNXcJ+wy2D8ieF1cSTyPnqsOCE+L5w9HfaaYZdsAziQBEiABEhAFgHuv2Vh0vwgJgA1H2LbdJALkG3GRWtWTdxyDgv2RQq3mrjkx4xW5c12s+1vRw26GQ5vWBqdqhcxWw8FSIAESIAESEBJAv8EXccPq08KlY55MmLrDzVkTzFrV7jBVd26pXNjUXv5J+Uv3HmKOtP9DeYLH++D45cf4quFR8TnGdOkQPCo+rLt4kASIAESIAFlCXD/rSxPtWpjAlCtkVO53VyAVB5AlZg/etNZLDmoL0LeqmIBTG5ezmzrv10agN2hd4TcIG9HfFermNl6KEACJEACJEACShIw7nbvWigr1n1XVfYU1tbKlRJ9zebpaxCmTWmHc2O9cf72U9Sb8WliMKVdctm2cSAJkAAJkIByBLj/Vo6lmjUxAajm6KnYdi5AKg6eikw3Lm7etnJBjPvSyWwPui8/jq1nbwm5vnUc0KdOCbP1UIAESIAESIAElCTw2/5IjPvvnFDpUSIHlneqJHuKZYcvYcTGs2K8e5FsWNOtimz5vWF30GFJgBifO1NqHB1SB/eevUbFcTsN9Bwb4oVcmdLI1s2BJEACJEACyhHg/ls5lmrWxASgmqOnYtu5AKk4eCoyfcDaU1h7/Jqw+NtqRTCiUWmzPfj+ryD8e+qGkOvpWQwD6juarYcCJEACJEACJKAkAeMrvPXL5MaCdvKv8K4JuIqB604Lk5ztM2Njr+qyTZT+Nkp/Iz8+xXNlwM5+NfEuKhrFh24x0LP1Bw845skkWzcHkgAJkAAJKEeA+2/lWKpZExOAao6eim3nAqTi4tD5+QAAIABJREFU4KnI9B9WBeGfk/rEXfeaxfCTj/mJux/XnsLfMRKJnasXwbCG5icSVYSOppIACZAACaiAgLW1bjeevI4+q/Q1BEvmzohtfeXXEPzzyOU4u/2WH7Mdj168FRRXdq6EqsVzqIAqTSQBEiAB7RHg/lt7MbXEIyYALaFGGasJcAGyGiEVyCDQY8Vx+AXrr+5+71UC/eo6yJA0HDJkQzCkOksfn/ZVCmFM47Jm66EACZAACZAACShJYMTGM1h2+LJQ+XWlghjfRH6pi61nbqH7n5Z3EZ63NwKTt4aK+WuVzImlHd11/649bS8i7z4X381p44KG5fIp6T51kQAJkAAJyCTA/bdMUBofxgSgxgNsq+5xAbLVyGjLrs5/BGDnOX3zjgH1S6KnZ3GznRz171ksPaRvJvKVWwFMamZ+MxGzJ6YACZAACZAACcRDoP+aU1h3Ql/qootHEQxtIP+EunENvzyZ0uDIEC/ZzKXkn5QE/Pg0cs6H2a1ddP9sPu8QAi8/FN+NaVwG7asUlq2bA0mABEiABJQjwP23cizVrIkJQDVHT8W2cwFScfBUZHq7xUexP/yesHiobyl0qVHUbA8m+p3DAv9IIdfUJT+mtypvth4KkAAJkAAJkICSBIxPuvfxKoG+Zpx0PxJ5H18tPCJMypIuJU6OqCfbRONmWzFPIHZdFojtIbeFLnNtk20EB5IACZAACZgkwP23SURJYgATgEkizLbnJBcg24uJFi1qteAwjl58IFwb/UUZfFPV/NMH07aHYfbuC0JPg3J5MbdNBS0io08kQAIkQAIqIvDN78ew7/xdYfFgH0d0q1lMtgcnrz7Cl3MPivFpUiZH6Fgf2fLGTbK+q1UMg7w/1Nr9ad1prAq4KnSxfIZsrBxIAiRAAooT4P5bcaSqVMgEoCrDpn6juQCpP4Zq8KDJrwcRdOWRMHViUye0di9otumzd4Vj2o7zQq5u6dxY1F5+l0WzJ6QACZAACZAACcgg0HL+YRy7pP+ha2zjMmhnxjXb0FtP4D1zv8FMFyf6IlmyZDJmBzosOYa9YfoE5EDvkuhR60OpjSlbQ/FrjOvB/PFMFlIOIgESIIEEIcD9d4JgVZ1SJgBVFzJtGMwFSBtxtHUvGszaj7M3nggzf27hjOau9mabvWBfBCZu0Rc5r+mQE398+6HIOR8SIAESIAESSCwCxn/nprVwRjMz/s5dvPccnj/vNTA/dKw30qS0k+VS018P4kSMH9rGfVkWbSsX0sn+tj8S4/47J/RULZYdK7tUlqWXg0iABEiABJQlwP23sjzVqo0JQLVGTuV2cwFSeQBVYn7d6fsQfueZsHZWaxd84Wx+B8IlBy9i9KYQoadK0ez4qys3MSp5DWgmCZAACWiWQO2f9yLynr7T7ryvK8DHKa9sf28+fokqE3cbjD81sh4yp00pS0d8f2dXB1zBoHXBQo9zgSzY2LOaLL0cRAIkQAIkoCwB7r+V5alWbUwAqjVyKrebC5DKA6gS82tN3YNL918Ia+e3dYV32TxmW7/i6GUM3XBGyLkWyop131U1Ww8FSIAESIAESEBJApUm7MTtJ6+FSul0unRKXe7z8PkbuIzdYTD82BAv5MqURpYK4/mXdHSDZ8lcOtlNp26g919BQk+JXBmwo19NWXo5iARIgARIQFkC3H8ry1Ot2pgAVGvkVG43FyCVB1Al5leduAs3Hr8S1i7p4AZPxw8bE3OetYFXMeDv00LEKX9mbOpd3RwVHEsCJEACJEACihNwGrUNT1+9E3rXdq8Ct8LZZM/z8k0USo3YajDef4AnCmZPJ0tHqeFb8fJtlBgr/Tgm/UgmPbvO3UanPwLFd/mzpMXBn2rL0stBJEACJEACyhLg/ltZnmrVxgSgWiOncru5AKk8gCoxv+K4Hbj37I2wdkXnSqhWPIfZ1m88eR19Vp0UciVzZ8S2vjXM1kMBEiABEiABElCKwPv371F86BZERb8XKv/7vjrK5Msse4ro6PcoOsTPYPz2vjXgkDujSR1vo6JRYugWg3E7+9VA8VwfZA9H3EfrRUfE91nTpUTQiHom9XIACZAACZCA8gS4/1aeqRo1MgGoxqhpwGYuQBoIogpcsPZkxEcXt565ie5/nhAeF8mRHnt+rKUCAjSRBEiABEhAqwRev4tCyWGGp/ekv03S3yhzHoehW/AmKlqI/NurGsrZZzGp4sHzN6hgdH346BAv5P7/9eHT1x7hizkHhZ5UKZLj/Dgfk3o5gARIgARIQHkC3H8rz1SNGpkAVGPUNGAzFyANBFEFLpQctgWv3+k3NVLxcakIubnP7tDb+HYprzGZy43jSYAESIAEEo6AtfX7Plpm6Y9ll+49Ry2jDsLnxngjbaoPHYQv3HmKOtP9DQBcGO+DFHbJEw4KNZMACZAACcRKgPtvvhgSASYA+R4kCgEuQImCPUlNKl2Nkq41vdffjMKWPh4olTeT2RwOhN9D28VHhVyODKkROKyO2XooQAIkQAIkQAJKEbj+6CWqTTLs4Bs8qh4yppHXwfejHW7jd+LuU30jkeWd3OFRwnQjkeBrj9FozgHhTkq7ZLoTfsmSJdN9duPRS1Q1su/0qHrIZKZ9SvGiHhIgARJIygS4/07K0df7zgQg34NEIcAFKFGwJ6lJY69NVBPFc2Uwm8Oxiw/QcsFhIZc5bUqcGsk6RmaDpAAJkAAJkIBiBMJvP0XdGYYn7CIm+MIu+YcEnNzHY8puXH3wUgxf1L4i6pbObVL84IV7+Po3/Y9j2dKnwonhdYXc4xdv4Txmu4GeI4O9kCezvA7DJg3gABIgARIgAdkEuP+WjUrTA5kA1HR4bdc5LkC2GxutWPb89TuUGbnNwJ39Az1RIJu8zoYxBYOuPESTXw+Jj9KlskPIGG+toKIfJEACJEACKiRw6uojNJ6rr7GXOkVyhFlQY6/u9H0Iv/NMEJjd2gWNnPOZJLIl+Ca+W6Gvj1s4ezrsHeAp5N68i4bDMMMmIbv610SxnOb/EGfSGA4gARIgARKIlwD333xBJAJMAPI9SBQCXIASBXuSmjS22kgxi5ObA+PsjcdoMEt/zSlF8mS4MMHXHBUcSwIkQAIkQAKKEjgUcQ9tFsV9Ak/uZI1mH0Dw9cdi+NTm5dCiYgGT4msCrmLgutNiXDn7zPi3V3UDuRJD/fA2Sl+LY3Pv6iibX36XYpNGcAAJkAAJkIAsAtx/y8Kk+UFMAGo+xLbpIBcg24yLlqy68+QV3CfsMnApaHhdZE2fymw3Y7tmFTnBF8nNvGZl9sQUIAESIAESIIE4COw6dxud/rC+QVXzeYcQePmhmGXcl2XRtnIhk9x/2x+Jcf+dE+OqFc+OFZ0rG8g5j96Oxy/fis9Wd62MSkWzm9TNASRAAiRAAsoS4P5bWZ5q1cYEoFojp3K7uQCpPIAqMP/qgxfwmLLHwNKzo+sjfeoUZlsfW6fDsHHeSJ3iQ6dDPiRAAiRAAiTwuQn8e+oGvv8rSEzrkDsDtvetabYZbX87igMX7gm5YQ1KobNHUZN6pm8Pw6zdF8Q4n7J5MK+tq4FclYm7cPPxK/HZkg5u8HTMZVI3B5AACZAACShLgPtvZXmqVRsTgGqNnMrt5gKk8gCqwPyIu8/gNW2fgaXh432Q0i652dbH1mnxzOj6yGBBMtHsySlAAiRAAiRAArEQWB1wBYPWBYtvnAtkwcae1cxm1fmPAOw8d0fIDahfEj09i5vUM+rfs1h66JIY16piAUxuXs5AzmvaXkTcfS4+m9umAhqUy2tSNweQAAmQAAkoS4D7b2V5qlUbE4BqjZzK7eYCpPIAqsD8czefwOeX/cLSZMkA6dpuMun/MPO5+/Q13MbvNJCy9DqxmVNzOAmQAAmQAAnESuD3AxcxZnOI+K5qsexY2cXwCq4cdD1XnsB/p2+Kob1rF0f/eiVNivZbcxLrT1wX4zpXL4JhDUsbyH0x5wBOX9PXF5zSvBxayqgvaHJyDiABEiABEjCLAPffZuHS7GAmADUbWtt2jAuQbcdHC9Yp1R1RYvH4xVs4j9lugMXShiJaYEsfSIAESIAEEp/A3D0XMHVbmDCkTqlc+O0bN7MN67/mFNaduCbkungUwdAGhom82JR2/iMQO8/dFl/1q+uA771KGAxtteAwjl58ID4b1ag0OlQrYraNFCABEiABErCOAPff1vHTijQTgFqJpMr84AKksoCp0NyASw/QYv5hYXnG1CkQPLq+RZ68ePMOpUdsM5DdP9ATBbKls0gfhUiABEiABEjAWgJTtobi170RQs0Xzvkwq7WL2WqHbAjGyqNXhFy7yoUw9suyJvW0XHAYx0wk975dGoDdofrrxQO9S6JHLdPXi01OzgEkQAIkQAJmEeD+2yxcmh3MBKBmQ2vbjnEBsu34aMG6gxfu4evfjgpXsqdPhePD61rk2tuoaJQYusVAdnf/miiaM4NF+ihEAiRAAiRAAtYSMK7B95VbAUxqZliDT84cYzaF4PeDF8XQlhXtMaW5s0lRqcyGVG7j4zOthTOaudobyPVaeQKbY1wv7uVZHD/WN3292OTkHEACJEACJGAWAe6/zcKl2cFMAGo2tLbtGBcg246PFqzbE3oHHZcGCFfyZk6Dw4O9LHLt/fv3KDrED+/f68W3/VADJfNktEgfhUiABEiABEjAWgID/z6FNYH6q7vfViuCEY1MX901ntfSk4TVJu2G1CTr47OofUXULZ3bQL2xjR2rFcbIRmWsdZ3yJEACJEACZhLg/ttMYBodzgSgRgNr625xAbL1CKnfvq1nbqH7n8eFI4Wyp8O+AZ4WO+YwbAvevIsW8pt6VYeTfWaL9VGQBEiABEiABKwhoNTpulm7wjF9x3lhSr3SubGwfUWTpjmN2oanr96Jcau7VkalotkN5JQ6pWjSGA4gARIgARKIlwD333xBJAJMAPI9SBQCXIASBXuSmnTTqRvo/VeQ8LlErgzY0a+mxQzKjtyGZ6/1G51131WFa6GsFuujIAmQAAmQAAlYQ0Cp+noL/SMwwS9UmFLDISeWfeser2mxnYz3+94DpfNlMpCbui0Uc/fo6xQ2cs6H2RbUKbSGE2VJgARIgAQA7r/5FjAByHcg0QhwAUo09Elm4nXHr6H/2lPC3zL5MuG/7z0s9t9lzHY8fPFWyK/qWhmVjU46WKycgiRAAiRAAiRgJoGvFh7GkUjrO+z+cegSRv57VszuXiQb1nSrEq81sTXH8h/giYLZDZtjGXcq9nLMhcUdzO9UbCYaDicBEiABEjAiwP03XwkmAPkOJBoBLkCJhj7JTPzXsSsYvD5Y+OtSMAs29Khmsf/u43fiztPXQn55J3d4lMhpsT4KkgAJkAAJkIA1BL6YcwCnrz0WKqY0L4eWFQuYrXJ1wBUMWqf/e+lcIAs29oz/7+Xdp6/hNn6nwVyBw+ogR4bUBp8tOXgRozeFiM+qFM2Ov7pWNttGCpAACZAACVhHgPtv6/hpRZpXgLUSSZX5wQVIZQFTobnGJxoqFcmG1SZONMTnZvXJu3Htob7Y+eJvKsKrlGGxcxVioskkQAIkQAIqJVBn+j5cuPNMWD+njQsalstntjcbT15Hn1UnhZxjnozY+kONePVcvv8cNafuNRhzbow30qayM/hsTcBVDFx3WnzmbJ8ZG3tVN9tGCpAACZAACVhHgPtv6/hpRZoJQK1EUmV+cAFSWcBUaO4i/0iM9zsnLPcokQPLO1Wy2JPaP+9F5L3nQn5+2wrwLpvXYn0UJAESIAESIAFrCBh34V3SwQ2ejrnMVmncNKtw9nTYa6JpVsiNJ/CdtV/MlTwZEDHBF8mSJTOY37geb/FcGbDTinq8ZjtHARIgARIgAR0B7r/5IkgEmADke5AoBLgAJQr2JDWp0nWH6s/wR9jtp4LhrNYu+MLZ/JMWSSoIdJYESIAESCDBCJQfsx2PFKhNuzfsDjosCRB25smUBkeGeMVrd+ClB2g+/7AYkzF1CgSPrv+JzO7Q2/h2aaD4PH+WtDj4U+0EY0LFJEACJEACsRPg/ptvBhOAfAcSjQAXoERDn2Qmnr7jPGbtChf++pTNg3ltXS32v+Hs/Thz/YmQn9bCGc1c7S3WR0ESIAESIAESsIaAw7AtePMuWqjY1Ks6nOwzm63ycMR9tF50RMhlSZcSJ0fUi1fPvvN38c3vx8SY3JlS4+iQOp/IHIm8j68WmqfbbAcoQAIkQAIkYJIA998mESWJATwBmCTCbHtOcgGyvZhozaLJW0Mxb2+EcKtx+Xz45SsXi91s+utBnLjySMhPbOqE1u4FLdZHQRIgARIgARKwlMC7qGgUH7rFQFy6WitdsTX3CbryEE1+PSTE0qa0w7mx3vGq8Qu+iR4rTogxRXOkx+4fa30ic/raI3wx56D4PJVdcpwf72OuiRxPAiRAAiRgJQHuv60EqBFxJgA1Eki1ucEFSG0RU5+9YzeHYPGBi8LwFq72mNrC2WJHWi04jKMXHwj5MY3LoH2VwhbroyAJkAAJkAAJWErgyau3KDdqu4H44cG1kTdzWrNVnrv5BD6/6Ov5SWX8ImOp5xdT8drAqxjwt765R9n8mbC5t8cnc0tNSqRmJTGf8PE+SGmX3Gw7KUACJEACJGA5Ae6/LWenJUkmALUUTRX5wgVIRcFSqakjNp7BssOXhfVtKhXEhCZOFnvTbvFR7A+/J+SHNSiFzh5FLdZHQRIgARIgARKwlMCtx69QeeIuA/FTI+ohc7qUZqu8eO85PH827OgbNs4bqVMYdvSNqfiPQ5cw8t+z4iP3ItmwpluVT+a++fglqkzcbWjnyHrInNZ8O812jAIkQAIkQAKCAPfffBkkAkwA8j1IFAJcgBIFe5KadPD60/jr2FXhc4eqhTHqizIWM/h2aQB2h94R8oO8HfFdrWIW66MgCZAACZAACVhKIPLuM9SeZniy7vw4H6RKYf7JOkuSdL/uvYApW8OE+Z4lc2JJR/dP3Hn84i2cxyhzUtFSVpQjARIgARJgF2C+Ax8IMAHINyFRCDABmCjYk9Sk/decwroT14TPXTyKYGiD0hYz6L78OLaevSXk+9ZxQJ86JSzWR0ESIAESIAESsJTAmeuP0XD2ASGe0i4Zwsf7WqTu4fM3cBm7w0D22BAv5MqUJk59P28Lw5w9F8T3Dcrlxdw2FT4ZLzUpkZqVxHx29a+JYjnNr1VokXMUIgESIAES0BHg/psvgkRAEwnAy5cvY9asWfjvv/9w9epVpE6dGsWKFUPLli3Rs2dPpEuXTpFob9myBQsXLkRAQADu3r2LnDlzws3NDV27doWPT/wFjV+/fo2goCCd7LFjx3T/Lzw8HO/fv9fZ9vH/N2VoYGAg/Pz8cODAAYSEhOjsSJkyJfLly4dq1aqhU6dOqF69uik14ntrfJI9SSwDuQBZQ4+ycgh8/1cQ/j11Qwzt6VkMA+o7yhGNdUzvv4KwKYa+Xp7F8WP9khbroyAJkAAJkAAJWErg2MUHaLngsBCXrtSeGhl/59645nrx5h1Kj9hm8PX+gZ4okC3u/34evekslhy8JGRaVrTHlOax19l1GLoFb6Ks71ZsKSvKkQAJkAAJMAHId+ADAdUnADdt2oS2bdviyZMnscbUwcFBlxgsXry4xTGPjo7WJfkWL14cp47OnTtjwYIFSJ489qsXHTt2xNKlS+OUl5MArFGjBvbv1xdpjktZ+/btsWjRIqRKlSrO+ZTwyWKg/AXCGnSUlUnA+MTeD3VK4Ic6DjKlPx3Wb81JrD9xXXzRrUZRDPYtZbE+CpIACZAACZCApQT2hN1BxyUBQjxv5jQ4PNjLInXR0e9RdIifgeyOvjVQInfGOPUN+vs0VgfKK7PhPHo7Hr98K3St6loZlYtmt8hWCpEACZAACVhGgAdwLOOmNSlVJwClE3XSqbeXL18iQ4YMGDx4MDw9PXX/XrVqlS4JJj1SElA6OZcxY9z/IRNfYCW9kyZN0g1xcXHBwIEDdScMIyIiMGXKFN3JPumRxk2YMCFWVR06dMAff/yh+06yo0KFCggLC8OtWx+uFMpJAEpJTGlO6bRfixYt4OHhgYIFCyIqKgqHDx/GtGnTcP36hwRF69atsXLlyjjdUsIna/7HwAXIGnqUlUOg09IA7IpRs29A/ZLo6Wn5DwE/rTuNVQH6zU7HaoUxspHlNQXl+MAxJEACJEACJBAbAb/gm+ix4oT4qljO9NjVv5bFsMw9pddr5QlsPn1TzBffqfiqE3fhxuNXYuySDm7wdMxlsa0UJAESIAESMJ8A99/mM9OihKoTgB9PxKVIkQL+/v6oUsWw+9jUqVN1yTrpGTlyJEaNGmV2DM+fP48yZcrg3bt3qFixom6etGnTCj0vXrxAzZo1dQlGyY5z587Fetpw9erVusSkdGW4VKlSupOCtWrVwr59Hwo4y0kANmzYENLpvmbNmsHO7tPObPfu3dMlRCWbpUfSLTEyfpTyyWyYMQS4AFlDj7JyCBh37R3qWwpdaljetde4q3DbygUx7kvLuwrL8cEWx7yNisZfx67g8v0XaOVWAA7xnBCxRftpEwmQAAlogcDawKsY8Pdp4YpT/szY1Ft+CRhjBk6jtuHpq3fi47Xdq8CtcLY4URk3xhroXRI9asX+I1ud6ftw4c4zoWtOGxc0LJdPC2GgDyRAAiSgGgLcf6smVAlqqGoTgFINvUqVKungdOvWDfPnz/8ElHTNtWzZsrqkXJYsWXDnzh1dvTxznh49emDevHk6EemUXeXKlT8RP3LkiEg+SuPnzp0rawpzE4BylG7evBmNGjXSDe3du7euNqLxk5A+ybFRGsMFSC4pjrOUwFcLD+NI5AMhPqpRaXSoVsRSdRi7OQSLD1wU8vHVO7J4EhUIxiz8niF1CvgP9ES29HGXG1CBSzSRBEiABFRHYNnhSxix8aywu1KRbFjdzfCHcHOcchu/E3efvhYiyzu5w6NEzjhVSPUHpTqEH5/RX5TBN1ULxzr+izkHcPraY/HdlGbl0NKtgDnmcSwJkAAJkICVBLj/thKgRsRVmwAcMmQIJk6cqAuDlID7mAw0jot0dVe67io927ZtQ7168gskS6fy7O3tcePGDTg6OuoSiXE90vfSld78+fPrGpEkS5bM5CuSEAnA58+f665DS4+vr6+u/mHMJ6F9Mun0/wdwAZJLiuMsJdBs3iEcv/xQiI9vUhZfVypkqTpM2hKK+fsihHwTl/yY0aq8xfrUKlhl4i7cjHGVa0ITJ7SpVFCt7tBuEiABElAlgXl7IzB5a6iw3bNkTizp6G6xL9Un78a1hy+F/KL2FVG3dO449TWcvR9nruvrb09tXg4tKsae1FP6BzmLnaQgCZAACSRhAtx/J+Hgx3BdtQnAj9d/06dPj0ePHumu38b2SKf2qlatqvtqxIgRGD16tOzIR0ZG6mr9SU9cpww/KpO+lzoES48kV6SI6ZNGCZEAfPDgAbJn/1BYWToJ+O+//xr4m9A+yYXLBUguKY6zlIDxiYP4Nidy5pi+PQyzdl8QQxuUy4u5bSrIEdXMmDtPXsF9wi4Df1pVLIDJzctpxkc6QgIkQAJqIKD036S60/chPMY13dmtXdDIOe5rurV/3ovIe88Fql+/rgBfp7yxolO6Jq8a4kMbSYAESMDWCHD/bWsRSRx7VJsAzJkzJ6Sad87Ozjh58mSc9B4+fIhs2T7UMJEaZ6xZs0Y26ZjXaWfMmIEffvghTlnp+379+um+l07dSafvTD0JkQDcsGEDmjZtqptaqn84efJkAzMS2idTPn/8nguQXFIcZykB75n+CL31VIj/8lV5NC6f31J1mL0rHNN2fKivKT31SufGwvYVLdanRsEdIbfRZVmggemOeTJi6w+f1hpVo3+0mQRIgATUQsC4LEULV3tMbeFssfmNZh9A8HX9NV1TP5pVmrATt5/orwwv7eiGWiVjb+xh3DCkp2cxDKjvaLGtFCQBEiABEjCfAPff5jPTooQqE4CvXr0SjTgaNGgAKakV3yNdiZWuxkr1+6QTgXIfqa7gd999pxu+du1aNG/ePE7Rv//+W5dglB5JTjoRaOpROgEo1TyUGqFI9RGlR2pM4urqamBGQvv0cTJpgYnvuXnzJtzdP1xVka5MS1et+ZCAkgRqT9uLyLvyTifImXfBvghM3KK/blWrZE4steK6lZw5bW3MtO1hmB3jFKRkX/JkQPCo+kifOvZT2LbmA+0hARIgAS0QGLw+WNeQ6ePToWphjPrC8s70LecfxrFL+pp+YxuXQbsqsdf0k+Z0GrkNT1/Laxoy6O/TWB14VdjasVphjGxkua1aiB99IAESIIHPTYAJwM9N3DbnU2UC8O7du8iV68OvjK1atcKqVavipZs7d25dAxCpIUhwcLDsSMTsIrxlyxZ4e3vHKSt9//HU388//4z+/fubnEfpBOC0adPw448/6uaVTgGuW7fuExsS2qePE8qpgfhxLBOAJl8VDrCAgMeU3bj6QH49I1NT/H7gIsZsDhHDqhXPjhWdP20KZEqPmr837qz80ZdVXSujctEPpQf4kAAJkAAJJDyBPquCsPHkDTHRd7WKYZC35afqjNf3ob6l0KVG0VgdkepJFxvih+j3+q//+746yuTLHOv40ZvOYsnBS+I7lo5I+PeDM5AACZCAMQEmAPlOSARUmQCUEkYFC34oOt+uXTssW7Ys3mhKYyUZqZ7fhQv6Gl6mXoGxY8fq6gZKz65du1C7du04RXbv3g0vLy/d95LcsGHDTKmHkgnAffv2oU6dOnj37p0uOSolOj8mSWMaktA+fZyLCUCT4eeABCZQecIu3HrySswS3/UkOaYsP3IZw/85I4a6F86GNd0t77goZ05bGiNt+FzG7sCjF28/MWuwjyO61fxQL5UPCZAACZBAwhOQyjFIZRk+Pj/Wc0Cv2iUsnrjrskBsj6GvX10HfO/zw48TAAAgAElEQVQVu75Xb6PgOHyrwVz7BtRCoezpY51/6rZQzN2jb6LVsFxezEliNXQtDgwFSYAESEAhAkwAKgRS5WpUmQDkCUDDt+7s2bPw8PCAVO8wTZo0um7HUpOU2J7PdQKQV4BVvjJowHzXsTtw//kb4cnKLpVQtVgOiz1bHXAFg9bpTxCXL5AF//SsZrE+tQlevv8cNafujdVsX6c8+PVrw3IDavOP9pIACZCAmgh8/dsRHLxwX5g8vGFpdKpuugFdXD5+/1cQ/j2lP1HYo1YxDIzjROH9Z6/hOm6ngaqAoXWQM2PqWNXP3XMBU7eFie+8HHNhcQc3NeGmrSRAAiSgegJMAKo+hIo4oMoEIGsA6mN/8eJFVK9eHTdu3ICdnZ3u2m/jxo3jfDk+Vw1AU28nFyBThPi9tQSM6xP93b0KKhb+0BDIkmdD0DX0XX1KiJbOmwl+fTwsUaVKmY0nr6PPqtgbLuXLnAaHBn84Ac2HBEiABEgg4Qk0+fUggq48EhNNauqEr9w/3I6x5DGnTt/VBy/gMWWPwTQhY+ojXarYa8EuPXgRozbpS2hULpoNq7omnRP0lsSDMiRAAiSgNAHuv5Umqk59qkwASqhz5MiB+/fvJ+kuwFLSTzr5FxkZCenK7dKlS9G+fft430R2AVbn/1BptfkESg7bgtfvooXgxp7V4Fwgi/mK/i+x+fQN9FoZJORL5MqAHf1qWqxPbYLGHSeN7T82xAu5MqVRm1u0lwRIgARUSaD+DH+E3Vau0/3IjWfwx+HLgkVr94KY2NQpVjbnbj6Bzy/7xXfJkgER432RXOoKFcuzJuAqBq47Lb5xts+Mjb2qq5I7jSYBEiABtRJgAlCtkVPWbtUmAKUrrvv370f69Onx6NEjpEgR+6+OUtffqlWr6qhJ9fxGjx4tm6CUWJPqBkqP1NVXOj0X1yN9v3DhQt3XklyRIqavYVhTA/DevXuoWbMmQkI+/KI6Z84c9OzZ06RvCe2TSQP+P4ALkFxSHGcpgaKD/zMoUO73vQdK58tkqTpsO3sL3ZYfF/KFs6fD3gGeFutTm2CL+YcQcOlhnGYval8RdUvnVptbtJcESIAEVEnAuNHVb+0roo4Va/DELeewYF+kYNHEJT9mtCofK5vjlx+g2bzD4rv0qexwdkzcjfKMf0ArnisDdiahH9BU+YLRaBIgAc0R4P5bcyG1yCHVJgCHDBmCiRMn6pw+cuQIKlWqFCuASZMmYfDgwbrvpNp49erVkw1KKnpvb2+vu17r6OiIc+fOxSlbqlQphIaGIn/+/LqGI3KaYFiaAHz8+LGuIcmJEyd09kg+Dho0SJZfCe2TLCMAcAGSS4rjLCEQFf2hQ2HMZ2e/GiieK6Ml6nQye0LvoOPSACGfP0taHPwp7sZAFk9ko4JlRmzF8zdRwrrUKZIbnLC0tgC9jbpNs0iABEjAJgl8Uue2cyVULW55ndsZO87jl13hwlefsnkwr23stV39z99F+9+PibFS7T+pBmBcz+7Q2/h2aaD4mmUjbPKVolEkQAIaJ8D9t8YDLNM91SYAjx07JpJ+cZ3Oi46ORtmyZXWJuyxZsuDOnTtImTKlTDQfhvXo0QPz5s3T/d/SacLKlSt/Ii8lIKtU+VDLRBo/d+5cWXNYkgB88eKFLol58OBB3RxDhw7FuHHjZM33cVBC+iTXEC5AcklxnCUEYutQ6D/AEwWzp7NEnU7m4IV7+Pq3o0I+R4bUCBwW94bH4olsUDA2nq6FsuL4Zf2JwG+rFcGIRqVt0HqaRAIkQALaI1Bq+Fa8fKv/UUZqSiU1p7L0mb8vApO2hArxWiVzYmlH91jVbT1zE93//PAjtPSYOhF/KOIe2izS//3Mlj4VTgyva6mplCMBEiABErCAAPffFkDToIhqE4BSLD5eA5au//r7+4sk3Mc4xex4O3LkSIwaNcoghHv37oWn54crfN98842uhp7xc/78eZQuXRpRUVGoWLGibp60adOKYS9fvtTZERgYqLuGLF3JLVGihKxXxdwE4Js3b9CoUSNs375dp79Pnz6YOXOmrLliDkpIn+QawwVILimOs4TA45dv4Tz6w/9OPj6HB9dG3sz6/+2aq/fYxQdouUB/5Slz2pQ4NVL+iWJz57Ol8befvEKlCbsMTGruao+/j18TnzV1yY/pcVwXsyVfaAsJkAAJqJ1AdPR7FDU65b69bw045Lb8lLs5jTrWHb+G/mvlN8U6ceUhmv56SGBPl8oOIfFcGVZ7fGg/CZAACdgiAe6/bTEqn98mVScAg4KCUK1aNUhJuAwZMkC6Fiwl9KR/r1q1StTkc3Bw0CXoMmY0/A8jOQlAKSTSFWLpmq30uLi46K7bSrUBIyIiMHnyZEh2fBw3YcKEWKN469YtbN261eA7SWdYWJjusyVLlhh8J3X2LV68uMFnzZo1w/r163WfSVeApeRffFeNU6VKBcn32B4lfLLmdeUCZA09ypoicO/Za1Qct9NgmHRaTzq1Z+kTdOUhmiTRDUzYraeoP9PfAF3/ug6YtuO8+Cy+0yKWMqccCZAACZDApwSev36HMiO3GXxxYJAn7LNafsp9dcAVDFoXLHRKTbOk5lmxPcsPX8LwjWfFV26Fs2Jt9w/1tmN7zt54jAazDoiv7JInQ8QEX4aWBEiABEjgMxLg/vszwrbhqVSdAJS4btq0CW3btsWTJ09ixSwlwP77779PkmnSYLkJQOkqcZcuXfD777/HGcpOnTrpEo7JkyePdUzMueS8D1JCsEOHDgZD5dQVjClQqFAhXLp0KdbplPBJjh9xjeECZA09ypoicPPxS1SZuNtgmHRaTzq1Z+lz5vpjNJyt38CktEuG8PFJYwNzNPI+Wi08ItBlTJMCQ3xLYfB6eZtFS5lTjgRIgARI4FMCd56+gvt4w1PZ0pVa6Wqtpc/Gk9fRZ9VJIe6YJyO2/lAjVnXmXBeWFETcfQavafsMdIWP90FKu9j/m9lSHyhHAiRAAiQQNwHuv/l2SARUnwCUnLh8+TJ++eUXXaJPerGlk2/S6bkWLVqgV69eSJcu9l9E5SYAP74qfn5+uiRfQEAApC68OXLkgJubm65DsI+PT7xvlK0lAJXwyZr/CXEBsoYeZU0RuHL/BWpM3WMw7NwYb6RNZWdKNM7vw28/Rd0ZhqfgLk70ldXwx+JJbUTQuANygWxpMdS3lEENqILZ0sF/YNLpimwjoaEZJEACSZDA5fvPUXPqXgPPQ8d6I01Ky//GGa/zhbKnw744Ot1P3x6GWbsviPkbOOXF3K8rxBmJaw9foPpkw7/JZ0bXR4bUKZJg9OgyCZAACSQOAe6/E4e7rc2qiQSgrUGlPaYJcAEyzYgjLCdw4c4z1JlueNrgwngfpLDitMGle89R62fDDVfYOG+kTmH5hstyDz+v5JrAqxj492kxqVP+zBjWoNQnpwKDR9X/vIZxNhIgARJIggRCbjyB76z9wvPkyaC7UmvuTZGY6Padv4tvYnT2zZUxNY7F0dl37OYQLD5wUYi3cLXH1BbOcUYiIcpyJMGw02USIAESsIoA999W4dOMMBOAmgmluhzhAqSueKnN2tg2R5ETG1jlxvVHL1FtkuG14qRygmGRfyTG+50T/KoXz4GRjUp/ciKSV7qsesUoTAIkQAKyCBy//ADN5umbUmVMnQLBo637Aca40VWmNClwOo4fdX5adxqrAq4KWztULYxRX5SJ0/anr97CaZRhY66DP9VG/iyWN+aSBYqDSIAESIAEBAHuv/kySASYAOR7kCgEuAAlCvYkM+mpq4/QeO5B4W/qFMkRNi7+a/qm4MRWcyloeF1ktaLmkqk5beX7qdtCMXdPhDCnQbm8GNWoDNzGGzZaCRhaBzkzWt5oxVb8pR0kQAIkYMsE/M/fRXuZp/Xk+hF87TEazdHXuU1llxznx8f+d7P3X0HYdOqGUN2jVjEM9HaMc6q3UdEoMXSLwfe7+tdEsZwZ5JrHcSRAAiRAAlYS4P7bSoAaEWcCUCOBVJsbXIDUFjF12Rt46QGaz1f2dMTjF2/hPMbwBMOxIV7IlSmNuuBYYO3QDcFYcfSKkPy6UkHdaQ/jDd32vjXgkNuw27oF01GEBEiABEggHgJbz9xC9z+PixFFcqTHnh9rWcUstjq30rViqWOv8dNpaQB2hd4RHw+oXxI9PYvHOf/79+9RbIgfot/rh/h974HS+TJZZTOFSYAESIAE5BPg/ls+Ky2PZAJQy9G1Yd+4ANlwcDRg2qGIe2iz6KjwROqMKHVItOZ58eYdSo/YZqBi/0BPFMgWe5Mha+ayNdleK09g8+mbwqyensUwoL4jnEZtw9NX78Tnq7tWRqWi2W3NfNpDAiRAApoisP7ENfRbc0r4VDpvJvj18bDKx6sPXsBjimGjjrOj6yN9LI06vlp4GEciH4j5pJIQHasViXf+0iO24sWbKDFmfY+qqFAwq1U2U5gESIAESEA+Ae6/5bPS8kgmALUcXRv2jQuQDQdHA6YZFzPPnSk1jg6pY5VnsV1h2t2/JoomgStM7RYfxf7we4Kf1AG4S42iqDl1Dy7ffyE+n9+2ArzL5rWKM4VJgARIgATiJ/DnkcsY9s8ZMcitcFas7V7VKmx3n77+pKzD8WF1kD3Dp2UdvphzAKevPRbzTWlWDi3dCsQ7v8uY7Xj44q0Ys7JLJVQtlsMqmylMAiRAAiQgnwD33/JZaXkkE4Bajq4N+8YFyIaDowHTdobcRudlgcKTAtnSYv/A2lZ5Jl1hKjLYz0DHth9qoGQe7V95bTT7AIKvf7rZk+osSvUWPz4TmzqhtXtBqzhTmARIgARIIH4CC/0jMMEvVAyq4ZATy751twrbs9fvUHak4Sn3A4M8YZ/101PuXtP2IuLuczHf3DYVINWGje+pMnEXbj5+JYYs6egGz5K5rLKZwiRAAiRAAvIJcP8tn5WWRzIBqOXo2rBvXIBsODgaMM0v+CZ6rDghPCmaMz1297euPpKkzGHoFryJihZ6N/eujrL5M2uAWPwueEzZjasPXopBC9q5on6ZPOi45Bj2hN0Vn5uqA6V5UHSQBEiABD4DgZk7z2PmznAxk0/ZPJjX1tWqmd9FRaO4UaOOnf1qoniuTxt1WJLM8/x5Ly7e0ycNeWLcqnBRmARIgATMJsD9t9nINCnABKAmw2r7TnEBsv0YqdnCjSevo8+qk8IFxzwZsfWHGla7JJ2OkE5JfHzWfVcVroW0X8Morlp//VafxPqg64JHF48iGNqgtNWcqYAESIAESCBuAhP8zmGhf6QY0LRCfkxvWd5qZCWG+uFtlL5TR1w/cpUbtQ1PYtR/XdOtCtyLZIt3fu+Z/gi99VSM+eWr8mhcPr/VNlMBCZAACZCAPALcf8vjpPVRTABqPcI26h8XIBsNjEbMWht4FQP+Pi28ccqfGZt6V7faO+MaRqu6VkZljTe9iIr+0L0x5vPx6vPYzSFYfOCi+KpZBXtMa+lsNWcqIAESIAESiJvAsH+C8ecRfWf2dpULYeyXZa1G5jRyG57G+JHr7+5VULGwYWJPKochdYB/F6Olr5zT8MYlIyY3c0IrN5aMsDpoVEACJEACMglw/y0TlMaHMQGo8QDbqntcgGw1Mtqwa+XRKxiyIVg4U6FgFqzvUc1q59zH78Sdp6+FnuWd3OFRIqfVem1ZwcPnb+AydoeBiUcGeyFP5jSYszscP28/L77zcsyFxR3cbNkd2kYCJEACqidgfPq6W42iGOxbymq/3MbvhNQM5OMT29+4V2+j4Dh8q8Fce36shSI50sc7f8sFh3Hsor5z8JjGZdC+SmGrbaYCEiABEiABeQS4/5bHSeujmADUeoRt1D8uQDYaGI2Y9cehSxj571nhTeWi2bCqaxWrvas2aTeuP9LXwvu9Q0XUdsxttV5bViDVbJJqN8V8Qsd6I01KO6w4ehlDN+g7UboUzIINCiRabZkHbSMBEiCBxCbQfflxbD17S5jRt44D+tQpYbVZxvVeF7WviLqlDf/GPXj+BhWMfhQ6NsQLuTKliXf+9r8fg/95fc3YIb6O6FqjmNU2UwEJkAAJkIA8Atx/y+Ok9VFMAGo9wjbqHxcgGw2MRsxa5B+J8X7nhDceJXJgeadKVntX++e9iExiRcyDrjxEk18PCXapUyRH2Dgf3b+Nm61IJ0CkkyB8SIAESIAEEo5Au8VHsT/8nphgqG8pdKlR1OoJ683Yh/O3nwk9s1q74AvnfAZ6rz54AY8peww+OzO6PjKkThHv/F2WBWJHyG0xpn9dB/T2sj5pabXTVEACJEACSYQA999JJNAm3GQCkO9BohDgApQo2JPMpHP3XMDUbWHCX6Wuptaf4Y+w2/oi5rFtjrQGeW/YHXRYEiDcyp0pNY4OqaP79+GI+2i96Ij4LnPalDg1sp7WENAfEiABErApAs3nHULg5YfCpnFflkXbyoWstvGLOQdw+tpjoWdK83JoWbGAgd6wW09Rf6a/wWcRE3xhlzxZvPP3/isIm07dEGN6ehbDgPqOVttMBSRAAiRAAvIIcP8tj5PWRzEBqPUI26h/XIBsNDAaMWvmzvOYuTNceONdJg/mt3O12ruGs/fjzPUnQs+0Fs5o5mpvtV5bVmDcUdkhdwZs71tTZ3LorSfwnrlfmJ8sGRA+zgcp7JLbsku0jQRIgARUTcDnl/04d1P/t2hGK2c0cbH+b5GcOn0nrjxE0xinwtOmtMO5sd4mef649hT+Pn5NjOtUvQiGN2TXeJPgOIAESIAEFCLA/bdCIFWuhglAlQdQreZzAVJr5NRh99RtoZi7J0IY28g5H2a3drHa+Ca/HkTQlUdCz6SmTvjKXdtdDI3rKboXzoY13T/UU7zz5BXcJ+wy4Hp8WB1kz5DaatZUQAIkQAIkEDuBWlP34NL9F+LL+W1d4V02j9W45NTpOxB+D20XHxVz5ciQGoHDPpwKj+8x7lzctnJBjPvSyZQYvycBEiABElCIAPffCoFUuRomAFUeQLWazwVIrZFTh90T/M5hoX+kMLZphfyY3rK81ca3WnAYR5NYF8NfdoZjxk59p1+pILxUGF563ryLhsOwLQZcd/arieK5MljNmgpIgARIgARiJyCnW68l7LotD8S2s/o6fbE1F9l29ha6LT8u1BfKng77BnianG7c5hD8duCiGNfc1R4/t3A2KccBJEACJEACyhDg/lsZjmrXwgSg2iOoUvu5AKk0cCoxe9S/Z7H00CVhbWv3ApjYtJzV1hsXXh/WoBQ6e1hfeN1qwxJQwZhNIfj9oH7T1sLVHlNjbNrKjtyGZ6/fCQvWdq8Ct8LZEtAiqiYBEiCBpE3AeN1d910VuBayft3tsyoIG0/q6/R1r1kMP/kY1unbEHQNfVefEgEolTcTtvTxMBmQhDqZb3JiDiABEiABEtAR4P6bL4JEgAlAvgeJQoALUKJgTzKTDtkQjJVHrwh/21cphDGNy1rt/7dLA7A79I7QM8jbEd/VKma1XltW0G/NSaw/cV2Y2MWjCIY20Ndtqj55N649fCm+X9jOFfXKWH8VzZaZ0DYSIAESSCwC79+/R9Ehfnj/Xm+BlICTEnHWPj+tO41VAVeFmg5VC2PUF2UM1C4/chnD/zkjPqtYKCv+/q6qyaln7wrHtB2xnyY3KcwBJEACJEACVhPg/ttqhJpQwASgJsKoPie4AKkvZmqyeMDaU1ibAMXGja9H9avrgO+9SqgJjdm2dloagF0xkp4/1nNAr9p6n427Rk5u5oRWbtqui2g2RAqQAAmQgEIEXr2NguPwrQba9g2ohULZ01s9g/Hp+a/cCmBSM8PT8wv2RWDillAxVw2HnFj2rbvJuRf6R2CCn/lyJhVzAAmQAAmQgCwC3H/LwqT5QUwAaj7EtukgFyDbjItWrPphVRD+MXGNyRJfe/8VhE2n9Nejetcujv71SlqiSjUyzeYdwvHLD4W9Y78si3aVC4l/GxeNl66LSdfG+JAACZAACShP4P6z13Adt9NAccDQOsiZ0frmS5O2hGL+Pn0DrS/L58PMrwwbaE3fcR6zdoWL+X3K5sG8tq4mHV12+BJGbDwrxrkXyYY13T40lOJDAiRAAiSQ8AS4/054xmqYgQlANURJgzZyAdJgUG3IpZ4rTuC/4JvCou9rF0c/BRJ1xtdhu9UoisG+pWzIc+VNqTN9Hy7ceSYUS92Upa7KHx/jZGtSYKI8ZWokARIgAXkErj54AY8pewwGnx1dH+lTp5CnIJ5RM3eex8yd+uRe/TK5saDdh6ZPHx/jZh7NKthjWkvTzTxWB1zBoHXBQo+zfWZs7FXdapupgARIgARIQB4B7r/lcdL6KCYAtR5hG/WPC5CNBkYjZnVZFogdIfpOhsbXVi1107g+UsdqhTGykWF9JEt126pcxXE7ce/Za2He8k7u8CiRU/zb+MpYy4r2mNLc9GbQVv2lXSRAAiRgywTCbj1F/Zn+BiZGTvBF8uTJrDbb+HpvTYec+MPoeu/g9cH465j5NXY3nryOPqtOChsd82TE1h9qWG0zFZAACZAACcgjwP23PE5aH8UEoNYjbKP+cQGy0cBoxKxvfj+GfefvCm8G+ziimwLXUqXC51IB9I9P28oFMe5LJ41Q+9QNqdi8w7AteBulrzb/b69qKGefRQyevj0Ms3ZfEP/2dcqDX782fR1Ms9DoGAmQAAkkIIGgKw/R5NdDYoa0Ke1wbqy3IjP+cegSRv4b/zVd407BUiMsqSGWqWfrmZvo/ucJMaxw9nTYO8DTlBi/JwESIAESUIgA998KgVS5GiYAVR5AtZrPBUitkVOH3W0WHcGhiPvC2BENS+Pb6kWsNn7MphD8fvCi0NOqYgFMbm5YIN3qSWxIwfPX71Bm5DYDi/wHeKJg9nTiM0sLwtuQmzSFBEiABFRD4NCFe2jz21Fhb44MqRA4rK4i9q8JuIqB604LXbFd0+38RyB2njP/hP2esDvouCRA6M6bOQ0OD/ZSxG4qIQESIAESME2A+2/TjJLCCCYAk0KUbdBHLkA2GBQNmdRi/iEEXIq7cYWlrhoXSG/ikh8zWpW3VJ3Ny9149BJVJ+02sPPUiHrInC6l+GzF0csYuuGM+LdroaxY911Vm/eNBpIACZCAGgnsDLmNzssChen2WdPiwKDairjy76kb+P6vIKHLIXcGbO9b00C3pT+wHYq4hzaL9InLrOlSImhEPUXsphISIAESIAHTBLj/Ns0oKYxgAjApRNkGfeQCZINB0ZBJjecexKmrj4RHk5s5oZVbQas9NL7u2qBcXsxtU8Fqvbaq4MKdp6gz3bDW1IXxPkhhl1yYzLpOtho92kUCJKBFAnKSdJb6vf3sLXRdflyIF8yWDv4DDa/pWvr39cSVh2ga4+pyulR2CBmjzNVlS/2lHAmQAAkkJQLcfyelaMftKxOAfA8ShQAXoETBnmQm9f1lP0JuPhH+zmjljCYu9lb7P3tXOKbtOC/01CudGwvbG3ZItHoSG1Jw+tojfDHnoLAolV1ynB/vY2BhQp5GsSEUNIUESIAEbILAJ9d0C2TBxp7VFLFtf/hdtFt8TOjKmTE1AobWMdBtqjN8XIaE3HgC31n7xddSz5KICb5Ilsz65iWKOE8lJEACJKBxAtx/azzAMt1jAlAmKA5TlgAXIGV5UpshAeMNypw2LmhYLp/VmObvi4B0Dfjj41kyJ5Z0dLdar60qOBJ5H18tPCLMy5w2JU6NNLyydTjiPlov0o/htS5bjSbtIgES0AKBpQcvYtSmEOFK5aLZsKprFUVcC7j0AC3mHxa6MqZJgeBR9Q10V524CzcevxKf/d6hImo75jY5f8TdZ/Cats9gXPh4H6SMcaLcpBIOIAESIAESsJgA998Wo9OUIBOAmgqnepzhAqSeWKnR0ppT9+Dy/RfC9AXtXFG/TB6rXfn9wEWM2azfeFUrnh0rOle2Wq+tKtgTegcdl+qLtufLnAaHjIq2B197jEZzDggXUtolQ/h4X1t1iXaRAAmQgKoJzNsbgclb9T9E1XbMhd87uCni05nrj9FwdvzrufPo7Xj88q2Yb1XXyqhcNLvJ+a8/eolqRjVlg0fVQ8Y0+pqyJpVwAAmQAAmQgMUEuP+2GJ2mBJkA1FQ41eMMFyD1xEqNlhqfUFjSwQ2ejrmsdmX5kcsY/o++4YV74WxY012ZkxdWG5cACv47fRM9V54QmovlTI9d/WsZzBR59xlqG53qCBvnjdQp7BLAIqokARIggaRNYPqO85i1K1xAaOCUF3O/VqYWrZy6ryWG+uFt1Hsx/6Ze1eFkn9lkUO49e42K43YajJOuF0vXjPmQAAmQAAkkPAHuvxOesRpmYAJQDVHSoI1cgDQYVBtySdpkSJuNj8+fnSqheokcVlu4OuAKBq0LFnrKF8iCfxSqvWS1cQmgYG3gVQz4+7TQ7JQ/Mzb1rm4w050nr+A+YZfBZyeG10W29KkSwCKqJAESIIGkTWD8fyFYtP+igNCsgj2mtXRWBMq1hy9QffIeA11nRtdHhtQpdJ+9eRcNh2FbDL7f1b8miuXMYHL+Z6/foezIbQbjDgzyhH3WdCZlOYAESIAESMB6Atx/W89QCxqYANRCFFXoAxcgFQZNRSYbX1Fa060K3Itks9qD9Seuod+aU0JPmXyZ8N/3HlbrtVUFyw5fwoiNZ4V5EkOJZcznxZt3KD3CcFO3f6AnCmTjps5W40q7SIAE1Etg2D/B+PPIFeFAu8qFMPbLsoo4FNspvcBhdZAjw4dTeo9evEH5MTsM5jo6xAu5M6UxOf/bqGiUGGqYPNzZryaK5zKdPDSpnANIgARIgARMEuD+2ySiJDGACcAkEWbbc5ILkO3FREsWlRq+FS/fRgmXNvSoCpeCWa12cfPpG+i1MkjoKZErA3b0q2m1XltVYNz0pFbJnFhq1PTk/fv3KDbED9H6G2HY0scDpfJmslW3aBcJkLpi7XUAACAASURBVAAJqJZAvzUnsf7EdWF/1xpFMcS3lCL+PH/9DmWMTunF/EHH2jp+0t+KqBh/LP77vjrK5DN9fVgR56iEBEiABJI4Ae6/k/gL8H/3mQDke5AoBLgAJQr2JDNp8SF+eBdjk7G5d3WUzW/9JmPb2Vvotvy44Fg4ezrsHeCpWa7GtaZ8nfLg169dP/HXaeQ2PH39Tnz+d/cqqFjY+hOXmgVLx0iABEjAQgI9VhyHX/AtId3HqwT61nWwUJuhmJSck5J0MZ8dfWugRO6Muo/Cbz9F3Rn+Bt9HTPCFXfJksuYvPWIrXrzR/zi37ruqcC1k/Y9zsibnIBIgARJI4gS4/07iLwATgHwBEpMAF6DEpK/tuaOj36Oo0QZme98acPj/BsYa74274ubPkhYHf6ptjUqblpVba6ryhF249eSV8GVpRzfUKml90xWbhkPjSIAESCARCHRYcgx7w+6KmX/ycUT3msUUs8Rh6Ba8iYoW+mI2+Th59RG+nHtQfJcmZXKEjvWRPXeFsTvw4PkbMX5ll0qoWsz6+ryyDeBAEiABEkjCBLj/TsLBj+E6TwDyPUgUAlyAEgV7kpj09bsolBy21cDXPT/WQpEc6a32/0D4PbRdfFTokboXSl0MtfoM3RCMFUdN15rymrYXEXefCwxz2rigYbl8WsVCv0iABEgg0Qi0WnAYRy8+EPOP/qIMvqlaWDF7nEZtw9NX+hPdMWvoHrxwD1//pv8bmD19KhwfXlf23FUn7sKNx/ofi5Z0cIOnI38skg2QA0mABEjACgLcf1sBT0OiTABqKJhqcoULkJqipS5bE7LT4LGLD9BywWEBJEu6lDg5op66AJlhbd/VJ7EhSF9rqluNohgcS62pxnMO4NS1x0Lz5GZOaOVW0IyZOJQESIAESEAOAeP1dkrzcmhZsYAcUVlj3MfvxJ2nr8XYZd+6o4ZDTt2/t5+9ha4xymAUyJYW+wfKPwXv+fNeXLyn/7FoftsK8C6bV5ZdHEQCJEACJGAdAe6/reOnFWkmALUSSZX5wQVIZQFTkbkPn7+By1jDLoXHhnohV0bTXQpNuRl05SGa/HpIDEuXyg4hY7xNian2+27LA7Ht7G1h/w91SuCHOp/Wmvr6tyM4eOG+GDe8YWl0ql5EtX7TcBIgARKwVQJ1p+9D+J1nwrzZrV3QyFm5E9c1puzBlQcvhP4F7VxRv0we3b//CbqOH1afFN855smIrT/UkI3Ke6Y/Qm89FeNntiqPL13yy5bnQBIgARIgAcsJcP9tOTstSTIBqKVoqsgXLkAqCpbKTL395BUqTdhlYPXJEXWRJV0qqz05c/0xGs4+IPSktEuG8PG+Vuu1VQXtFh/F/vB7wrwhvo7oWuPTWlNdlwVie4g+UdivrgO+9yphq27RLhIgARJQLYHqk3fj2sOXwv7F31SEV6ncivlTf4Y/wm7rk3S/fFUejct/SNKtOHoZQzecEXNVKJgF63tUkz1347kHcerqIzF+UlMnfOXO0+KyAXIgCZAACVhBgPtvK+BpSJQJQA0FU02ucAFSU7TUZevVBy/gMWWPgdFnR9dH+tQprHbk/O2nqGfUAfHiRF8kSyavA6LVBnxmBc3nHULg5Ydi1rFflkW7yoU+saLf6pNYL+Oq8Gc2n9ORAAmQgOYIuI7dgfsxG2l0roSqxZVrpBFfSYdF/pEY73dOMPUokQPLO1WSzTih6xfKNoQDSYAESCAJEuD+OwkGPRaXmQDke5AoBLgAJQr2JDFp5N1nqD1tn4Gv58f5IFWK5Fb7L9UukmoYxXyU0m21cQmgwPeX/Qi5+URontbCGc1c7T+Zafg/Z7D8yGXx+deVCmJ8E6cEsIgqSYAESCBpEyg9YitevIkSEDb0qAqXglkVgxJfkm7mzvOYuTNczOVdJg/mt3OVPXf734/B/7y+g/FgH0d0U7CDsWxDOJAESIAEkiAB7r+TYNCZAGTQbYUAFyBbiYT27Ai79RT1Z/obOKbUKb3rj16i2qTdBrrPjK6PDAqcLrTFSBgXbJ/3dQX4OH1asH3SllDM3xchXGhcPh9++crFFl2iTSRAAiSgWgLv379H0SF+eP9e78LWHzzgmCeTYj51WHIMe8P0SbpB3o74rtaH0g8T/M5hoX+kmKtphfyY3rK87LlZLkI2Kg4kARIgAcUJcP+tOFJVKuQJQFWGTf1GcwFSfwxt1QPjOn2p7JLj/HgfRcy98/QV3Mcb1hcMGl4XWdNbX19QEQMVVlJpwk7cfqLvBrm0oxtqlcz1ySxzdofj5+3nxed1SuXCb9+4KWwN1ZEACZBA0ibw6m0UHIdvNYCwb0AtFMqeXjEwPVeewH+nbwp9PT2LYUB9R92/h24IxoqjV8R3UkkIqTSE3Kf3X0HYdOqGGN6jVjEM9P6gmw8JkAAJGBOQfnjfePI6cqRPrbuBYpdcmyV3Plfkuf/+XKRtex4mAG07Ppq1jguQZkOb6I4dv/wQzebpO/WmT2WHswp16n304g3KjzHqMDzEC7kyWd9hONHBxWKA06htePrqnfhmTbcqcC+S7ZORSw5exOhNIeLzykWzYVXXKrboEm0iARIgAdUSSMgu9x+hDF5/Gn8duyoYta9SCGMaf0jy9V19Ehti1nutWRSDfUrJ5jlg7SmsPX5NjJe6xUtd4/mQAAmQQEwC0mnn1QFXMWZziCh50KFqYYz6ogxBWUGA+28r4GlIlAlADQVTTa5wAVJTtNRl65HI+/hq4RFhdJZ0KXFyRD1FnHj++h3KjNxmoOvAIE/YZ02niH5bU1J8iB/eRevvmm3uXR1l82f+xMy1gVcx4O/T4nOn/JmxqXd1W3OH9pAACZCAqgnEVoYieFQ9ZEyTUjG/jK/5NnHJjxmtPlzz7bIsEDus6Pg+7J9g/HlEf4KQ9WIVCxsVkYBmCERFv8ePa08Z/NggOafkf89rBpaZjnD/bSYwjQ5nAlCjgbV1t7gA2XqE1Gvf/vC7aLf4mHAgZ8bUCBhaRxGH3kZFo8TQLQa6dveviaI5Myii35aUvHkXDYdhhr7u6l8TxWLxdUvwTXy34oQwv2iO9Nj9Yy1bcoe2kAAJkIDqCVy48wx1phs2ubow3gcp7KxvcvURzuxd4Zi2I/aSDl//dgQHL9wXHIc1KIXOHkVlcx23OQS/HbgoxjerYI9pLZ1ly3MgCZCA9glIjYKkhkGxPVquu/05Isv99+egbPtzMAFo+zHSpIVcgDQZVptwanfobXy7NFDYkj9LWhz8qbYitklXEooM9jPQte2HGiiZJ6Mi+m1JyeMXb+E8ZruBSYcH10bezGk/MdP4P9ZyZUyNYwolXW2JCW0hARIggcQkEHztMRrNOSBMULLG7UelSw9exKgYJR2ksg9S+Qfp+XLuQZy8+kjMP7GpE1q7F5SN5OdtYZiz54IY37BcXsxpU0G2PAeSAAlon8Ai/0iM9zsXq6M7+tZAidza+2/uzxVV7r8/F2nbnocJQNuOj2at4wKk2dAmumNbz9xC9z+PCzuK5EiPPQqeRnMYugVvoqKF/riuxSY6CCsNuPn4JapMNOx4fGpkPWRO++lVs4Ssu2ilGxQnARIgAc0QOHbxAVouOCz8yZQmBU6Pqq+of+uOX0P/taeEztJ5M8Gvj4fu3/Vm7MP528/Ed798VR6Ny+eXPf+npwtz47dvKsqW50ASIAHtExi7OQSLY5wUjunxH9+6o6ZDTu1DSCAPuf9OILAqU8sEoMoCphVzuQBpJZK258e/p27g+7+ChGEOuTNge9+aihlaZsRWPH8TJfSt71EVFQpmVUy/rSiKuPsMXtMMr5qFj/dByliumoXdeor6M/0NTI+c4Ivk7NZmK+GkHSRAAhogsO/8XXwT42pcnkxpcGSIl6KebT97C12X639EK5AtLfYP/HCKvtqk3ZDqEH58Fn9TEV6lcsue3/hkj0eJHFjeqZJseQ4kARLQPoFeK09gc4xO5DE9NvfUsfZpmech99/m8dLqaCYAtRpZG/eLC5CNB0jF5hmfXiiTLxP++/7D6QUlHpcx2/HwxVuhalXXyqhcNLsSqm1Kx5nrj9Fwtv6qWUq7ZAgf7xurjdcevkD1yXsMvlO6ML1NwaExJEACJJAIBLaeuYnuf+rrrSp9wl1y6VDEPbRZdFR4F7PwvvHfv7+6VEaVYvL//i07fAkjNp4Vut0LZ8Oa7uwYnwivEqckAZsl0HL+YRy79CBW+76vXRz96pW0Wdtt3TDuv209Qp/HPiYAPw9nzmJEgAsQX4mEIrDq2BX8tD5YqC9fIAv+6VlNsencx+/Enaevhb7lndzhUUJ71xHMuWoWW73AI4O9kCdzGsW4UxEJkAAJJHUCG4Kuoe/q2K/nKsXG+Mcfu+TJIDUaSZYsma4xlNQg6uPzb69qKGefRfbUawKuYuA6fcd4Z/vM2NiLHeNlA+RAEkgCBGpM2YMrD17E6mlzV3v83IKNgyx9Dbj/tpSctuSYANRWPFXjDRcg1YRKdYYuP3wJwxPwhIHxFajfO1REbUf5V6DUAnRv2B10WBIgzI3vqtm7qGgUN+qOvLNfTRTPpb3uyGqJH+0kARLQHoEVRy9j6IYzwjHXQlmx7ruqijp6+f5z1Jy610BnyJj6uvIPJaxc5zeevI4+q04K3SVzZ8S2vjUUtZ/KSIAE1EtAarbnOHwrXsf4oSGmN1WLZcfKLpXV62AiW879dyIHwEamZwLQRgKR1MzgApTUIv75/JUKB0sFhD8+1Ypnx4rOyv3HgufPe3Hx3nOhf35bV3iXzfP5HPxMM20JvonvVuivmhXNkR6742mmUnLYFoP/YNvYsxqcC8g/GfKZ3OI0JEACJKBaAr/tj8S4//TdMasXz4E/OytbQ+/B8zeoMHaHAaOjQ7yQJqUdnEfL6wwfF2DjJl2Fs6fD3gGeqo0HDScBElCWwKMXb1B+jOH6E3OGhCh7oKwHtq2N+2/bjs/nso4JwM9FmvMYEOACxBcioQjM3xeBSVtChXrPkjmxpKO7YtPVn+GPsNtPhb5ZrV3whXM+xfTbiiJzaym6jt2B+8/fCPNXdq6EqsVz2Io7tIMESIAEVE/AuItu3dK5sai9sl1030ZFx3LSrwbSpUqBqpPkdYaPC/SesDvoKPNkueqDRQdIgATMJhBbU7mYSlKnSI7Qsd66kgR8zCfA/bf5zLQowQSgFqOqAp+4AKkgSCo1cdaucEzfcV5YX690bixUcIPUcPZ+nLn+ROif1sIZzVztVUorbrOXH7mM4f/or5q5Fc6Ktd3jvmpmXLNlQTtX1C+jvZORmgs0HSIBElANgSlbQ/Hr3ghhr/Tjk/QjlNKP4/AtePVWX+tP6nafKU0K1Jlu2O09rs7wcdlzOOI+Wi86Ir6O2WBEaR+ojwRIQH0EjDudx+bB8WF1kD1DavU5ZwMWc/9tA0GwAROYALSBICRFE7gAJcWofx6fp20Pw+zdF8RkDcrlxdw2FRSbvMmvBxF05ZHQN6mpE75yL6iYfltRtGBfBCbGOElZwyEnln0b90lKn1/249xNfWJ0ektnNK2gvcSorcSHdpAACSQ9AqM3ncWSg5eE41+5FcCkZuUUB+E2fifuxmh29ce37siSNiUazz0o5kqVIjnOj/Mxa+4TVx6i6a+HhEzalHY4N9bbLB0cTAIkoF0CawKvYuDf+kZBUp3Q8DtPEf1e7/Pm3tVRNn9m7UJIQM+4/05AuCpSzQSgioKlJVO5AGkpmrbly8Qt57BgX6QwqolLfsxoVV4xI1suOAypQ+7HZ2zjMmhXpbBi+m1F0Ywd5/HLrnBhjneZPJjfzjVO81rOP4xjl7TPxVbiQztIgASSHoGf1p3GqoCrwvEOVQtj1BdlFAdRe9peRN7V17qd08YF2dKnQptFR8VcWdOlRNCIembNHXLjCXxn7Rcy0i2+yAm+vM5nFkUOJgHtEjAucyCV8Qm99RQ3H78STi9s54p6vGFi0UvA/bdF2DQnxASg5kKqDoe4AKkjTmq0csymEPx+8KIwvWVFe0xp7qyYK+0WH8X+8HtC3/CGpdGpehHF9NuKogl+57DQX59IbeqSH9PjSaR2XHIMe8LuCvMHeTviu1rFbMUd2kECJEACqifQZ1UQNp68IfyQ1lhprVX6kU76nbqqP+k+sakTpIRf9z/1jaEKZksH/4HmNfCIvPsMtaftMzA3bJw3UqewU9oF6iMBElAhgWH/BOPPI1eE5a3dC+D87Wc4fvmh+GxUo9LoUE17/939OcLF/ffnoGz7czABaPsx0qSFXIA0GVabcEqqWyfVr/v4tK1cEOO+dFLMtm+XBmB36B3NJ7qM/yPs60oFMb5J3Bx7rTyBzadvCi69PIvjx/olFeNORSRAAiSQ1Al0WRaIHSG3BYb+dR3Q26uE4liMf+ga6lsK6VLbYegGfV3Y8gWy4J+e1cya+9rDF6g+eY+BTPCoesiYJqVZejiYBEhAmwQ6/xGInef0a1wfrxKIuPvM4L8vu9UoisG+pbQJIIG94v47gQGrRD0TgCoJlNbM5AKktYjajj+D/j6N1YH6K1IdqxXGyEbKXZHqtjwQ287q/+OkX10HfJ8AG7DEJtpvzUmsP3FdmNHFowiGNigdp1mf62paYnPh/CRAAiSQWASME3PDGpRCZ4+iipvTY8Vx+AXfEnq/r10cKe2SY1qMBltejrmwuIObWXNLdQWl+oIxHxb0NwshB5OApgl8MecATl97LHyUTh9fvPfc4EZKI+d8mJ0AzY80Dfb/znH/nRSibNpHJgBNM+KIBCDABSgBoFKljkC/1SexPkifuFL6l0Ljk269axdH/3raO+n23Z/HseVMjA2gVwlIyc64nrGbQ7D4gP7qdXNXe/zcQrmr13y9SYAESCCpE2g275DBVbjxTcri60qFFMdi/EOaVGtQepYe0jcgaeFqj6lmrvGPX76F8+jtBvYe+qk28mVJq7gPVEgCJKA+Au7jd+JOjAZEv3eoiCv3X2DUphDhjGuhrFj3XVX1OWcDFnP/bQNBsAETmAC0gSAkRRO4ACXFqH8enxP6KuonCcaaRTHYR3tXEb75/Rj2ndfX9PvJxxHda8Zd02/6jvOYFaNpiE/ZPJjXNu6mIZ/nbeAsJEACJKAdAr6/7EfIZ+i2Pm5zCH6L8YNOswr2eBsVjX9P6esPdrPgb9+rt1FwHL7VICB7f6yFwjnSaydI9IQESMAiAu+iouEwbMsnHX+vP3qJbsuPC535MqfBocFeFs2R1IW4/07qb8AH/5kA5HuQKAS4ACUK9iQxqfEV3b51HNCnjnI1koyvuip9xdhWgmTc1XdM4zJoH0+344X+EZjgFyrM9yiRA8s7VbIVd2gHCZAACaieQO2f9yLynr477/y2FeBdNq/ifv2yMxwzdp4XeuuVzo0Xb6Jw4IK+AdYQX0d0rWFeo6fo6PcoOsTPwN7tfWvAIXdGxX2gwv+xdx5gUVxdH//bULH3hh0RRUQUUERRRCkaS+xGjRqNGktiNJrYUcQae2+xxtiNsVAEGyiiKDZQur0gVqzY3mfw5S67UmZ3Z3dnZs88z/t8H7v3nvI7k3HvmXvPIQJEQFoEHr54i8Yzg5SMDp/UGvefvUX7ZSHs89y5gJgZnsibJ7e0HBSBtbT+FkEQRGACJQBFEARjNIEeQMYYdf34rOsmHbpuMqIfSjlr+WZpMK7efcEGzutaH93sKmc5cVvYLUzYd4V937BKcewdpl6B+JytohFEgAgQAeMl0GRmEB68eMsAbBxgj5a1ywoO5K+QREw/qDhy51ijFJ69eY9rGXYfciUeuFIP6l61Jh7G+4+f2bQDI5rB2qyYumJoPBEgAjIjwHUe5zqQp1/58uRCtLcnkl+9g4PP14nB0oXzy4yA7t2h9bfuGUtBAyUApRAlGdpIDyAZBlUkLvVZF6a0S0HoIunTD0Thr1OKWnc97CpjTtf6IvFeODNazT+OhEeKnSbLv2uIdvWz3mnyb8RdjNpxkRlgWb4I/EY5C2cQSSICRIAIGDkBrn4eV0cv/doxuAka1yglOJWd4bcxbvdlJrdepaLgGng8fPGOfbahvz1cLNVPPlpN8cOr1I9Mzp6fHNGoaknBfSCBRIAISItAQOQDDM5w1LdS8YI49UcrUOkA4eJI62/hWEpZEiUApRw9CdtODyAJB0/kpndfHYqziU+YlTkdXVXXnVm+17D6RAKb1tm2Ehb0aKCuGNGPd5wVhPvPFTtNclrs+Uc+UKrRUrWUKU6MdRG9n2QgESACREAqBCwm+iL14ydmrq52z/ldvY+hWy8wPdzz/N6zN0o79/YPd4JN5eJqo2vofQRPXqWyedt+bIymNUurLYcmEAEiIC8CW0JvYPL+SOaUbZXi2DfMCZ8/f06rDUg7h7WPN62/tWcoBwmUAJRDFCXoAz2AJBg0iZj87YpTiLj1jFk7q7M1ejlUEcz6BQHRWHI0jsnjdsVxu+Pkdqm70yQ49hH6rj/LMJQpkh/nJraWGxbyhwgQASJgEAJcgXzzib5KugNHO8O8rPD1807FJaP3ujCmyyRPbqXEI/dF8DgXVC5pqjYL1WPMGwbYw0UHx5jVNowmEAEiYFAC8wOisTTD72sPq/JY1fdLMznb6QF4+lqx+5leHGgWKlp/a8ZNbrMoASi3iErEH3oASSRQEjRTtXadpnWKsnJ9aVAs5h9RLo6+5ns7CZLK3mR1d5qcv/kEXVaGMqGF8+fF1WnusuNCDhEBIkAEDEEg5e17WHsFKKnmjsdxx+SEvi7feYYOyxS1uDKTHzXdHaYmedVW7Tz3GG49ec3mre7bCO5W5dWWQxOIABGQF4Ep+69ic+hN5tR3jatg5rfWaX+rPjfW9G0EN3puqH0D0PpbbWSynEAJQFmGVfxO0QNI/DGSqoXuC08i+mEKM39xzwbo2KCSYO6sOhGP2b6KbrcutctgwwAHweSLQVDmO01awLxs4SzN44rDey4OZt/nygUkzGyLXNz/QxcRIAJEgAhoRSAp5e1XhfAvTG6DkoVMtJKb2eTE5Fdw+fN4lnIL5MuN696eGults+AEYpNesrlLe9mivU1FjWTRJCJABORD4NcdF7Ev4i5zaIhzDYxvWyft77aLgxGVoQnR/G426KJBEyL50NLME1p/a8ZNbrMoASi3iErEH3oASSRQEjSTW7Rwi5f0a1WfhvCol3XzCnVdXB+SCO8M3RGbmZfG1kGN1RUj6vEv3r5HfZWdJqf/aIWK2ew0ufn4FVrMU14wXvf2QIF8eUTtKxlHBIgAEZACgVuPX8N53jElU69N90BBE+Gfsckv38FuRmCWWNKL82vCrd2SYETeU3SYF3qXviY20RwiQAQMT2DQpnMIvJbEDPnNzQIjWtVK+7vH6lCEZajvPa2DFfo1rWZ4oyVmAa2/JRYwHZlLCUAdgSWx2ROgBxDdIboi4DT7KO4+e8PEr+9nB9c65QRTt+XMTUz+9yqT51CtJHYOdRRMvhgEPXzxFo1nBimZcnFKGxQ3zXqniT53p4iBEdlABIgAEdAngesPXsBjkWKXNac7cZZudlm/+/ARtSf5ZemedaViODCymUbuq9bp5Y74cUf96CICRMC4CWSX5MsuOWjc1NTzntbf6vGS62hKAMo1siL3ix5AIg+QhM1z8AlEUso75sHmHxzgbFFGMI92nLuF3/dcYfIaVC6Of4c7CSZfDIIyO/4VPcMD+fNmvdPk5bsPqDfVX8n8kN9dYFZC/SLxYmBANhABIkAExEQg4tZTfLviNDOpYL48uObtoTMTua6bqR8UHYczKmphUQabftCs9EXPNaE4k/CEifNqXxf9narrzA8STASIgDQIZHfM96vjwS1qYLznl+PBdPEnQOtv/qzkPJISgHKOroh9oweQiIMjcdNUO4X982MTONYsJZhXey/cweidl5g8q4pFcejn5oLJF4OgyHvP0W5JCDMlT+5ciPPxzLae38dPn1FzwmEl84/86oxa5YTvUCkGRmQDESACRECfBE7HJeO7DJ15SxUywfnJbXRmgt2MI0h+mZqp/M62lbCgRwONdH//11mcjHnE5o73tMSQFjU1kkWTiAARkA+B5nOP4vYTxQmejI0+uJM33Amc9CtjgxD5ENC9J7T+1j1jKWigBKAUoiRDG+kBJMOgisQlbhcatxst/drzkyMaVS0pmHUHLt3DyH8imDyLcoUR8GsLweSLQdC5G0/QbZWio2+R/HlxhUdHX8vJvnj7XrFjhNsZye2QpIsIEAEiQAS0IxB07SEGbgpnQrSpw8fHEtV6uhnnDGpWHZO+qctHzFdjBm0KR+C1h+zzMW0sMNL1S50vuogAETBeAg2mB+DZ6/cMQMYX+HP8rmPl8Xj2XQebiljSy9Z4YWnoOa2/NQQns2mUAJRZQKXiDj2ApBIp6dmpemzpwIhmsDYrJpgj/pEPMGTLeSaveulCOPZbS8Hki0FQcOwj9F1/lplSpkh+nJvYOkfTGnofwZNXih0j235sjKY1S+c4jwYQASJABIhA9gQOXr6HEdsUL5+4ruyBo3X38qnDshBcvvM8U6PGedTGsJbmGoVs+LYLOHT5Pps7spU5xrjV1kgWTSICREAeBD5//gzzib7gTpOkXwdHNkO9Sl9+v684Hoe5ftHsO5faZbBhgGZlCORBTDMvaP2tGTe5zaIEoNwiKhF/6AEkkUBJzEzuB0T18crHUP1GNYdl+aKCeXLsehIGbDzH5Ol6F4ZghqshKDDqIQZtVuw0qVyyIILHtcpRgq4bsORoAA0gAkSACMiUwM7w2xi3+zLzrr5ZMfw3QrNGHHwQ9V53BqfiHmc6dE4Xa/Sw16xxx+gdF7E34i6TO9i5Bia0pVpefGJCY4iAXAm8Sf2IOlOUGw+dGNsSVUsVSnN5S+gNTN4fydy3r1YCu4Y2lSsOnflF62+doZWUYEoASipc8jGWHkDyiaWYPHn/8RNqTfRV4+rGEwAAIABJREFUMiloTAvULFNYMDNDYpPRZ30Yk8d3d5xgBuhBELc7g9ulkX7x3WnSZsEJxCa9ZPOW9rJFe5uKerCYVBABIkAE5E1gc+gNTMmwAHaoXhI7h+iuA/3QLefhF/kgU6hrv7dDm7rlNAL+x57L2H7uNpvbv2k1eHWw0kgWTSICREAeBJJevIXDzCAlZy5MboOShUzSPvs34i5G7bjIvrcsXwR+o5zl4bwevaD1tx5hi1gVJQBFHBw5m0YPIDlH13C+vU79gLpTlDvRBo9zQeWSwnWiDUt4jB5rzjAni5vmw8UpboZzWgea95y/gzG71G900nH5KVy6/YxZNLdLfXS3r6wDC0kkESACRMC4CKw+EY9ZvteZ01x3e67Lva6usbsuYdf5O5mK3/NTUzSqWkIj1VP3X8WmUEUx/14OVTCrs7VGsmgSESAC8iAQl/QSrRecUHImZoYnTPLmTvtM9WSKHE/f6COStP7WB2Xx66AEoPhjJEsL6QEky7Aa3Knnr9/DZnqAkh1nxruifLECgtl24dZTdF5xmskrZJIHkdM9BJMvBkHbwm5hwr4rzJSGVYpj7zCnHE3rteYMQhMUR8amtq+LAU7Vc5xHA4gAESACRCB7AosDY7EwMIYNcqtbDmu+t9MZtlm+17D6REKm8o//1hLVSn85mqfu5XMoCmuDE9m0zg0rYUF3zToKq6ubxhMBIiBOAhG3nuLbDL+t8+fNjegZnsxY1ZfvxQrmw6Wp8nr5ro/I0PpbH5TFr4MSgOKPkSwtpAeQLMNqcKcepbyDvU+gkh0ZjxAIYeDVu8/xzdIQJipfnlyI9WkrhGjRyNhwKhHTDkQxexxrlMI/g5vkaN/AjecQdD2JjRvrXhvDXTQrFJ+jMhpABIgAETAiAvrugnkm4TF6ZtjtnhH1ZS83FC2QTyP68/yvY/kxRTfPb+pXwLLvGmokiyYRASIgDwKqzedKF86P8EmK5nOR956j3RLFb+88uXMhzscTuXLlkgcAPXlB6289gRa5GkoAijxAcjWPHkByjaxh/br77A24RhQZrytebiii4UIlM29iHqbAbeFJpa8SZ7WV1Y+QVSfiMTvDUTO+3dZGbLuAgxm6O45wMcdv7tTd0bD/VZB2IkAE5EBg2oFIbDh1g7nS3c4Mc7va6Mw1rqkW97Ir8t4LJR3cSy/uaJ6mC+8lQbFYcER/Oxl1BogEEwEiIBiBw1fuY9jfitrTNUoXwtHfWjL5tx6/hvO8Y0r6oqa7w9Qkr2A2GIMgWn8bQ5Rz9pESgDkzohE6IEAPIB1AJZG4kfwKLf88rkTiurcHCuTLIxidxORXcFHRkbFOiWCKDChI9aiZh1V5rOrbKEeLxu2+hJ3hippRPzhVx5T2dXOcRwOIABEgAkQgewLj917BP2dvsUHfO1bF9I71dIptX8Qd/LpDUQ82XdmN2e001qv6gqmFRRls0mEtQ40NpYlEgAjojcCOc7fw+x5F6Rkbs2LYn6HL+dNXqbD1PqJkT9gEV5QrKlyJH705a0BFtP42IHwRqaYEoIiCYUym0APImKKtP19jH6agjcruvPiZbcEdFRDquvP0NZrNUX4LGTnNHYXyy+ct5Fy/61hxXHFEq2ODiljc0zZHhF7/RWLjacUOlZ72lTG7S/0c59EAIkAEiAARyJ7A6B0XsTfiLhs02LkGJrSto1NsqR8+wWKSr5IO7sRd4izNE4B/hSRi+kH1S0zo1FESTgSIgEEJrAtOwIxD15gNTual8PcgRemZ9x8/odZE5WdR4OgWMC9b2KB2S005rb+lFjHd2EsJQN1wJak5EKAHEN0iuiCQWY0QLgEo5JWU8hYOPkFKIiMmt0GJQiZCqjGoLO+DUVgfoijSzveomWrisINNRSzplXPi0KDOknIiQASIgAQIDPv7PA5fecAs/bmVOUa76b7EworjcZjrF830avtc/zvsJibuu8rkcd2Eua7CdBEBImC8BBYeicHioFgGILOTJ5aTffH2/Sc2Zt+wprCtolk3cmMlTetvY428st+UAKT7wCAE6AFkEOyyV3rx9jN0Wn6K+VkwXx5c8xa2Q++z16loMF35GMLZCa4oK6NjCJP+vYKtZxRHzfo2qQrvTjkfNVt2NBZ/BihqO7WuUw7r+umuS6Xsb2hykAgQASLwfwI/bDyHowZosvT2/Uf0++sswhKfgCvMv6G/PazNimkcl13htzF292U2v16lojg4srnG8mgiESAC0icw/UAU/jqlePHcrZEZ5nVTrnFqNyMQyS/fMWe3DHRA81plpO+8Hj2g9bceYYtYFSUARRwcOZtGDyA5R9dwvp1NfILuq0OZAUUL5MVlL3dBDXr17gOspvoryQz53QVmJUwF1WNIYWN3XcKu84pafoOaVcekb3Ku5cftGuR2D6Zfqkc4DOkT6SYCRIAISJnAd2vP4HT8Y+bC5G/qYmCz6npx6dOnz+CabJUsZKJ1uYv9F+/il+0Xmd0W5Qoj4NcWevGDlBABIiBOAqq/Owc4VcPU9lZKxrb68zgSkl+xz1b0boi21hXE6ZBIraL1t0gDo2ezKAGoZ+Ck7gsBegDRnaALAqfiktF7XRgTXbqwCcIntRFUVWY1kY791hLVSxcSVI8hhY38JwIHLt1jJgx3qYmx7pY5msQVqOcK1adftlWKY98wpxzn0QAiQASIABHInkDnFadw4dYzNsjn23ro3biq5LD5XX2AoVvPM7urlTLF8bEukvODDCYCREA4AkO3nIdfZIYSB661MLqNhZKCDstCcPnOc/bZ3C710d2+snBGGIEkWn8bQZB5uEgJQB6QaIjwBOgBJDxTkggci07CgA3nGIoKxQogdLyroGg+f/6M6uMPK8n0H+WM2uWLCKrHkMIGbw5HQNRDZgL3I+xn11o5mqS6s6N2uSLw/9U5x3k0gAgQASJABLIn0HZxMKLuv2CD5nezQZdGZpLDdux6EgZs1O2/05KDQgYTASMn0GddGELikhmFSe3qYFDzGkpUVHdBZzbGyDHm6D6tv3NEZBQDKAFoFGEWn5P0ABJfTORgUUDkAwzeothZUKWkKU6OE35ngcVEX6R+VBQiPjiyGepV0rwmktjYc/WeTsQ8YmaN97TEkBY1czTzSNRD/Lg5nI2rXLIggse1ynEeDSACRIAIEIHsCbSafxwJjxTH35Z/1xDt6kvv+JvqTv1ShUxwfrKwO/XpXiICREBaBDouC8GlDLv75nSxRg/7KkpODNkSDv9IxcvpUa1rYVRr5V2C0vJa/9bS+lv/zMWokRKAYoyKEdhEDyAjCLIBXDx0+T6Gb7vANNcsUwhBY1oKbonVFD+8Sv3I5O4d1hQNZdSJrOeaUJxJeML882pfF/2dcq41pY8j2IIHkwQSASJABCRAwGn20bQ6fOnX+n52cK1TTgKWK5sYfuMJuq5S1Ootkj8vrkwTtlav5KCQwUTAyAmo1vfL7AXHmJ2XsOeC+vWpjRytkvu0/qa7gSNACUC6DwxCgB5ABsEue6X/RtzFqB2K4uJ1KhSF7y/CdxdsMD0Az16/Zzx3DG6CxjVKyYbvtytOISJDranZna3R00H5TWxmzl649RSdV5xmX5ma5EHUdGG7MMsGMjlCBIgAEVCDQCPvI3j8KpXN+HtQYziZl1ZDgjiGXr7zDB2WnWLGmOTJjRgfT3EYR1YQASJgEAKqHX43/+AAZwvlDr9e/0Vi4+kbzL4edpUxp2t9g9grVaW0/pZq5IS1mxKAwvIkaTwJ0AOIJygaphaBneduY9yey2yOjVkx7B/RTC0ZfAY7+AQiKeUdG7ploAOa11L+ocJHjljHqNaaWtjDBt/a5lxr6vqDF/BYFMzcypULiPdpi9y5c4nVVbKLCBABIiAJAqo7z/f85IhGVUtKwvaMRkY/SIH7opNKdifOaotc3D8YdBEBImCUBCwn++Lte0VpnX3DmsJW5WTN/IBoLD0ax/i0s66A5b0bGiUvTZ2m9bem5OQ1jxKA8oqnZLyhB5BkQiUpQ7eeuYlJ/15lNttVLYHdPzUV3AfVo1h/9bdDK0vpHcXKCozr/OOIz1BrakXvhmhrnXOtqdtPXqP53GNKYqOmu8PUJK/gMSCBRIAIEAFjIlBzwmF8/PSZuSzV2rOJya/g8udxpdBFz/BA/rx5jCmc5CsRIAL/J/D+4yfUmuirxCNwdAuYly2s9Nmak/GYefg6+6x5rdLYMrAxcVSDAK2/1YAl46GUAJRxcMXsGj2AxBwd6dq24VQiph2IYg441iiFfwY3EdwhbvHCLWLSr1V9GsGjXnnB9RhKYLM5R3Hnqfq1ppJfvgN3jCPjFT6pNUoXzm8oV0gvESACREDyBPgukKXgKFfHkHuJlvG67OWGogXyScF8spEIEAGBCTx5lYqG3keUpIZNcEW5ogWUPtsWdgsT9l1hn9lWKY59w5wEtkbe4mj9Le/48vWOEoB8SdE4QQnQA0hQnCTs/wRU3w5y9UO4OiJCX24LTyDm4UsmdmkvW7S3qSi0GoPJs/cJxKMMR5y3DmyMZrVyrjX1OvUD6k7xV7I7eJwLKpc0NZgvpJgIEAEiIHUCKW/fw9orQMmNU3+0QqXiBSXnGr0oklzIyGAioFMCNx+/Qot5yruCMzs9cuDSPYz8J4LZwu0Q5HYK0sWfAK2/+bOS80hKAMo5uiL2jR5AIg6OhE1bfiwO8/yjmQet65TDun52gnvUbkkwIu+9YHIXdLdB54Y518gT3BAdCbT28kfK2w9M+q6hjrCvlnOtqU+fPqPGhMNKVvmPckbt8kV0ZCmJJQJEgAjInwD3QoZ7MZPxOj+pNUpJcHf1i7fvUV8lmXn6j1aoKMFkpvzvPPKQCOiewNW7z/HN0hCmKE/uXIjz8fyqLuix6CQM2HCOjStftADOTHDVvYEy0kDrbxkFUwtXKAGoBTyaqjkBegBpzo5mZk1gwZEYLAmKZQPaWpfHit6NBEemaZdcwQ3RkUCLSb5I/aAoxvzfCCfUNyvOS1vdKX54nfqRjd07rCkaqhRy5iWIBhEBIkAEiEAagczqq0ZOc0eh/NKrr/r2/UdYTvZTiuyx31qieulCFG0iQASMkEBo/GP0WnuGeV6sYD5cmur2FYnwG0/QdVUo+7yQSR5ETvcwQmKau0zrb83ZyWkmJQDlFE0J+UIPIAkFS0KmzvG7jpXH45nFHRtUxOKetoJ70H11KM4mPmFyvTtaoa9jNcH1GELg58+fUX285rv47GYcQfLLVGb634Maw8k85+PDhvCVdBIBIkAEpEAgLikFrRcod86Nn9kW3E4ZqV3a/hsjNX/JXiJABLInEBD5AIO3nGeDzEoURMjvrb6alFkHcak+Bw11T9D621DkxaWXEoDiiofRWEMPIKMJtV4dnXEwCutCEpnOro3M8Gc3G8Ft6LMuDCFxyUzu5G/qYmCz6oLrMYTAzHZnHP+tJarx3J3RfO5R3H6iaCCy9ns7tKkrnw7JhogJ6SQCRMC4CagekcuXJxdifdpKForFRF+kflTsMj8wohmszYpJ1h8ynAgQAc0J7Dl/B2N2XWIC6lQoCt9fmn8lMLMGQtxOQW7HIF38CND6mx8nuY+iBKDcIyxS/+gBJNLASNysqfuvYlPoTeZFL4cqmNXZWnCvBmw4i2PRj5jcPzwtMbRFTcH1GELg8zfvYTNNudj8mfGuKF9MuRtbVra5LzyJ6Icp7OvFPRugY4NKhnCFdBIBIkAEZEFA9ehbkfx5cWWau2R9qzfVHy/fKerM7h7qCDsedWYl6zAZTgSIQJYENp2+gan/RbLvHaqXxM4hjl+Nz6x+qFSbIRnqdqD1t6HIi0svJQDFFQ+jsYYeQEYTar06On7vFfxz9hbT2b9pNXh1sBLchiFbwuEf+ZDJHd3GAj+71hJcjyEEJqW8hYNPkJLqiMltUKKQCS9zOi0/hYu3n7Gxsztbo6dDFV5zaRARIAJEgAh8TSAkNhl91oexL0oXzo/wSa0li6qR9xE8fqUoFbFtUGM0pVIRko0nGU4EtCGw7Ggs/gyIYSJcLctifX/7r0R+/PQZNanRnDaoQetvrfDJZjIlAGUTSmk5Qg8gacVLKtaO2XkJey7cYeb+2Lw6JrarK7j5I7ZdwMHL95ncka3MMcattuB6DCEws2LzUdPdYWrCr9h873VncCruMTNdTsejDREP0kkEiAARCIx6iEGbwxmIrGpkSYWU46wg3H/+lpm7YYA9XGqXlYr5ZCcRIAICEph1+BpWn0xgEjs1qIhFWdTvVm00t+cnRzSqWlJAa+Qtitbf8o4vX+8oAciXFI0TlAA9gATFScL+T+DnfyLw36V7jMewljUxzsNScD6jd1zE3oi7TO6QFjUw3rOO4HoMITAu6SVaLzihpDrOxxN58+TmZc6gTeEIvKbYHfmbmwVGtJLH7kheAGgQESACREBgAgcv38OIbRFMqnnZwggc3UJgLfoT12LeMdx8/JopXNWnETzqldefAaSJCBAB0RBQPb3Tt0lVeHeql6l91GhOu7DR+ls7fnKZTQlAuURSYn7QA0hiAZOIuT9tPQ/fqw+Ytb+41sKvbSwEt/733ZexI/w2k/uDU3VMaS/8TkPBDechMPLec7RbEsJG5s2dC3Ez+Reb11cSlocrNIQIEAEiIAsCu8/fwW8ZiuTXq1QUB0d+XSRfKs66LTyBmIcvmblLetmig01FqZhPdhIBIiAggZH/ROBAhpf3P7Wsid+zeHnfbM5R3HmqaDS37ns7tKZGc7yjQetv3qhkPZASgLIOr3idoweQeGMjZcsGbTqHwGtJzIWx7rUx3MVccJcm/3sVW84omo30aVIFMzoJ32xEcMN5CDx/8ym6rDzNRhYyyYPI6R48Zn4Z8seey9h+TpEc1VUdRt4G0UAiQASIgMQJbD1zE5P+vcq8sKtaArt/aipZr75ZGoyrd18w+//sZoOujcwk6w8ZTgSIgOYEfth4Dkev8/vt3mbBCcQmKV4eLO1li/b08oA3fFp/80Yl64GUAJR1eMXrHD2AxBsbKVv2/V9ncTJG0Z13QltLDHYWvjvv9ANR+OtUIkPVw64y5nStL2V0zPbT8cn4bq2i2HzJQia4MLkNb9+mHYjEhlM3ZMmGNwQaSASIABEQkMC64ATMOHSNSWxmXhpbBzUWUIN+RXVecQoXbimaRfl8Ww+9G1fVrxGkjQgQAVEQ6LkmFGcSnjBbpraviwFO1TO1rcOyEFy+85x9N7drfXS3qywKP6RgBK2/pRAl3dtICUDdMyYNmRCgBxDdFrog0GvNGYQmKBpQeLWvi/5Z/IjQRv8s32tYfUJRsLizbSUs6NFAG5GimXssOgkDNpxj9lQoVgCh41152/enfzSWHYtj47+pXwHLvmvIez4NJAJEgAgQAWUCy4/FYZ5/NPuwdZ2yWNfv6y6ZUuGm+m91dgt+qfhEdhIBIqAZgY7LQnApQ1JvThdr9LCvkqmw7qtDcTZRkSyc3tEK3ztW00yxEc6i9bcRBj0TlykBSPeBQQjQA8gg2GWvlDu6yh1hTb90tatgfkA0lh6VZ5LL7+oDDN16njGsVsoUx8e68L53VBeqrpZlsb6/dBeqvB2ngUSACBABHRFQ/TenXf0KWC7hFyv9/jqLExl264/3tMSQFsLv1tdROEgsESACAhJQPdabXU1Q1WfHH56WGErPDt7RoPU3b1SyHiiLBODNmzexZMkSHDp0CLdv30b+/PlRs2ZNdO/eHcOHD4epqakgQfT19cWaNWtw7tw5PHr0CGXKlIG9vT0GDx4MT0/PbHW8e/cOERERaXPPnj2b9r/Y2Fh8/vw5bV76/83J0KSkJDafk8X97/HjLzue+vXrh40bN+YkIm3MgAEDchzHDdiwYQP69+/Pa6w6g+gBpA4tGsuXgL6OBiwNisX8IzHMLLe65bDmezu+Zop63P6Ld/HL9ovMRsvyReA3ypm3zRtOJWLagSg23rFGKfwzuAnv+TSQCBABIkAElAn4HIrC2mBF2YkuDc0wv7uNZDH9uDkcR6IU3eJHt7HAz67ULV6yASXDiYAWBJxmH8XdZ/wae+ir2Z8W7oh6Kq2/RR0evRkn+QTggQMH0KdPH7x4oSgmnJGehYVFWmLQ3FzzRgCfPn1KS/KtX78+y8AMGjQIq1evRu7cuTMdwyXcskvO8U0A5sqVK0sbKAGot/9uSJFICXgsOonrD1KYdYt6NEAn20qCW7vqRDxm+15ncl1ql8GGAQ6C6zGEwJ3htzFu92Wm2sasGPaPaMbblB3nbuH3PVcU8ysXx/7hTrzn00AiQASIABFQJqDaeKp34yrw+Va6jadGbLuAg5fvMydHuJjjN/faFHYiQASMkIDt9AA8ff2eeb7tx8ZoWrN0piRG77iIvRF32XdDnGtgfNs6RkhNM5cpAagZN7nNknQCkNtR5+TkhDdv3qBw4cIYP348XFxc0v7evn071q5dmxYvLgkYHh6OIkWKaBQ/Tu7s2bPT5tra2mLcuHFpOwzj4+Mxd+7ctJ193MWNmzlzZqY6uF10mzZtSvuOs6Nhw4aIjo7GgwcP0j7TJAFYpUoVWFpaIiAgIE2GJglAf39/VKxYMUsuZmZmKF68uEbcsptEDyDBkZJAAK7zjyP+0SvGgjsixR2VEvpaH5II74OKXW5SL8iekQ/X3ZhbbKZfDtVKYudQR94ID1y6h5H/fHkmpj1/yxVGwK8teM+ngUSACBABIqBMYOyuS9h1/g77cGCz6pj8TV3JYhq98yL2XlAs4gc718AEWsRLNp5kOBHQhkDtSb549+ETE/HvcCc0qJz52nPCvivYFnaLjf3esSqmd6ynjXqjmkvrb6MKd5bOSjoB6OzsjODgYOTNmxcnT56Eo6PyInXevHlpyTrumjp1Kry8vNSOekxMDKysrPDhwwfY2dml6SlYsCCT8/r1a7Ro0SItwcjZce3atUx3G+7YsSMtMckdGa5Tp07aTsGWLVvixIkTabL4JgA5PzgZ3P/KlSuHGzduoHr1L52SNEkAJiYmolo1/RdPpQeQ2rciTeBBwHnuMdx68pqNXPu9HdrULcdjpnpDtoTewOT9kWySQ/WS2DmEf5JMPW36Ha3abbJ5rdLYMpB/t8mgaw8xcFM4M7pS8YI49Ucr/TpB2ogAESACMiLAvVThXq6kX8NdamKsu6VkPRy/9zL+OXub2d/PsSqm0SJesvEkw4mApgQ+fvqMmhMOK00P+NUZFuUy37TDvXznXsKnX90amWFeN+mWQ9CUm6bzaP2tKTl5zZNsApCrode48ZdF6ZAhQ7Bq1aqvIsMd3a1Xr15aUo7bxcbVz8uXL59aERw2bBhWrlyZNic0NBRNmnxdy+rMmTMs+ciNX758OS8dmiQAVQVTApAXahpkJASazAzCgxdvmbcbB9ijZe2ygnuveszVtkpx7Bsmj2Ou2nabPB2fjO/WhjHmJQuZ4MLkNoLHgAQSASJABIyFgGrNvDFtLDBSwjXzvP6LxMbTN1j4ejlUxqzO9Y0lnOQnESAC/yfw8t0H1Jvqr8QjeJwLKpfMvH7/n/7RWHZMnk349HFTUAJQH5TFr0OyCcAJEyZg1qxZaYS5BFx6MlAVOXd0lzuay13ccVc3NzfeUeF25XFHYO/du5d21JZLJGZ1cd9zR3orVaqU1ogku1p96TIoAVg5DQXHi+NMFxHQlkAj7yN4/CqVidk2qDGammdeR0QbXXsv3MHonZeYCKuKRXHo5+baiBTN3AUB0ViSocNxO+sKWN67IW/7Lt5+hk7LT7HxBfLlxnXv7Jsk8RZOA4kAESACRkig7/owBMcmM88ntq2DH51rSJbEzMPXsOZkArO/c8NKWNC9gWT9IcOJABHQjEBSyls4+AQpTT4/qTVKFc6fqUBtX1JrZqV8ZlECUD6x1MYTySYA04//FipUCM+ePUs7fpvZxe3aa9q0adpXU6ZMwbRp03jzSkhISKv1x11Z7TJMF8Z9z3UI5i5uXvqx3OyUUQKQEoC8b0YayIuAtZc/Ut5+YGN3DXWEfbWSvOaqM0jOde5mHb6G1RkXZraVsKAH/4VZzMMUuC08qYQzfmZb5MmddQMjddjTWCJABIiAsRHovioUZ288YW57d7RCX0f9l28RirvqLh6uVi9Xs5cuIkAEjIvAjeRXaPnncSWnr033QEGTPJmCUK3B7WReCn8P+vp0nnFR5O8tJQD5s5LzSMkmAMuUKYPk5GTY2Njg4sWLWcbo6dOnKFnySwKgW7du2LlzJ+94Hjx4EO3bt08bv3DhQowaNSrLudz3o0ePTvue6zrctm3bHPWIIQHI2cDtXORYFi1aNK1+YevWrfHTTz+l7WbU1UUPIF2RNW65lpN98fY9v0LC2pDyu/oAQ7eeZyKqly6EY7+11EakaOZqezTrztPXaDbnmJI/V6e5o3D+zF/SiMZxMoQIEAEiIFICHZaF4PKd58y6uV3ro7vdl5eoUryWBsVi/pEYZjpXq5er2UsXESACxkUg6t4LtF0SzJzOlQtImNk2y5N0XAMQrhFI+tWwSnHslUkJHn1Entbf+qAsfh2STAC+ffuWNeJo164duERddhfXIfjVq1dp9fu4HYF8L66uIJcI465du3aha9euWU7dvXt3WoKRu7h53I7AnC4xJACzsrFAgQJYtGgRLz8yk8E9YLK77t+/DwcHh7QhdAQ4pzuFvudLgCskzBUUTr8O/9wcdSsW5Tud97ij1x/ih43ybHShWpy9f9Nq8OpgxZvNk1epaOh9RGn82YmuKFukAG8ZNJAIEAEiQAQUBNwWnkDMw5fsgyW9bNHBpqJkEa0+EY9ZvteZ/S0symDTD19+E9JFBIiA8RA4f/MJuqxUrM0LmeRB5HSPLAH8G3EXo3YoNv5Yli8Cv1HOxgNMS08pAaglQJlMl2QC8NGjRyhb9kth/x49emD79u3ZhoPrlss1AOEagly5onhrkFOJzByLAAAgAElEQVQMM3YR9vX1hYdH1g8k7vv0XX9//vknxowZk5N4jboAqwrVtAmIt7c3OnfunNa8pHLlL2+RuaPLe/bsAZfMTO9KvHr1agwePDhHX1QH8KmBmD6HEoBq46UJmRDIrJNY4GhnmJfNvJOYNhBDYpPRZ72i0UWZIvlxbmJrbUSKZu7oHRexN+Ius2dIixoY71mHt31v33+E5WQ/pfEnxrZE1VKFeMuggUSACBABIqAgoNrhfk3fRnCzKi9ZRBtOJWLagShmf5MaJbF9sKNk/SHDiQAR0IxAcOwj9F1/lk0uXTg/widl/Xta9QROtVKmOD7WRTPlRjiLEoBGGPRMXJZkApBLGFWpUiXNnb59+2Lz5s3ZRpMby83h6vnFxSk6B+V0C3BJMq5uIHcFBQWhVatWWU45evQoXF1d077n5k2aNCkn8QZLAD5//jztuG9WSTpuRyWXHHz//j1MTU0RHx+P8uXV+6FJCcAcw08DBCagz8RTWMJj9FhzhnlQ3DQfLk7h32BIYNcFFTf87ws4dOU+k/mzay2MbmPBWwf38qDGhMP4rNiICd9fmqNOBeF3YvI2igYSASJABCRMwMEnEEkp75gHm39wgLNFGcl6RMf4JBs6MpwICErAP/IBhmxRlNSpUtIUJ8dlndA7EfMI/f5SJAzLFc2PsAnyeAEvKNgshFECUB+Uxa9DkglA2gGouLE02QHI57acMWMGJk+enDaU+/8nTpzIZxobQ0eA1cJFgwUg8OLte9T3ClCSdPqPVqhYvKAA0pVFXLj1FJ1XnGYf5nRkQXADdChw0KZzCLyWxDSMda+N4S7mamm0muKHV6kf2Zw9PzVFo6ol1JJBg4kAESACROALgfpe/niRocHVziGOcKgufIMrffHeff4Oftt1iamrV6koDo5sri/1pIcIEAGREFD3SO/ZxCfovlpxZLhogby47OUuEm/EbwYlAMUfI31YKMkEINUAVNwaukoAckemuV1/3G6eNm3aICBAObGi7c1JDyBtCdJ8VQKPX75DoxmBSh9zx3K547lCX1fvPsc3S0OYWJM8uRHj4ym0GoPI67s+DMGxyUz3pHZ1MKh5DbVssfcJxKMMu1W2DHRA81rS3a2ilvM0mAgQASIgMAGLSb5I/aBocPXfCCfUNysusBb9ifvv0j38/E8EU1irbGEcGd1CfwaQJiJABERBQHU3sG2V4tiXTVOPK3eeo/0yef7+1kdAaP2tD8ri1yHJBCCHtXTp0nj8+DF1Ab5xA9WrV0+70/r164eNGzcKdteld1quW7cuIiMjBZPLCaIHkKA4SRiAB8/fosmsICUWl6a4oZhpPsH5xDxMgdvCk0pyE2dl3bVMcAN0KLD7qlCcvfGEafDuVA99m1RVS2OLecdw8/FrNmd130Zwl3C9KrWcp8FEgAgQAQEJfPr0paxCxivgV2dYlBO+vq2AZmcrSvXYX9VSpjhBdbz0hZ/0EAHREFgXnIAZh64xe5qZl8bWQY2ztC8uKQWtFyj//o7z8UTePLlF45OYDaH1t5ijoz/bJJsAdHZ2RnBwMAoVKoRnz54hb968mVLjuv42bdo07Tuunt+0adN40+WaYnB1A7mL6+rLdffN6uK+X7NmTdrX3Lz0pFx2ygzVBZgvAK7RCnfcmhKAfInROEMSuPX4NZznHVMy4dp0DxQ0ySO4WYnJr+Dy53EluTEzPGGSV/o/QDouC8GlO8+Zb3O71kd3uy+NgvheHotO4vqDFDZ8UY8G6GRbie90GkcEiAARIAL/J/Am9SPqTFFurHRyrAuqlDKVLKNj0UkYsOEcs79CsQIIHf+ljjZdRIAIGA+BJUGxWHAkhjncpm45rP3eLksAd56+RrM5yr/1r05zR+H8mecBjIckP08pAciPk9xHSTYBOGHCBMyaNSstPmfOnEHjxpm/LZg9ezbGjx+fNs7f3x9ubvwL9XPHX83MzHDv3j1YWlri2jXFGwrVG6NOnTq4fv06KlWqlNZwhE8TDDEnALnEH9c9mWPQunVrHDlyRND/FugBJChOEgYgLuklWi84ocRCV28FM/sBEjnNHYVk8APEfeFJRD9UJO8W92yAjg3US951XnEKF249Y7GY+a01vmv8pXETXUSACBABIsCfwNNXqbD1Vv4NdnaCK8oWLcBfiMhGno5LxnfrwphVJQuZ4MLkNiKzkswhAkRA1wRm+17HqhPxTE3HBhWxuKdtlmr1We5H174bQj6tvw1BXXw6JZsAPHv2LEv6ZbU779OnT6hXr15a4q548eLg6trly6feccBhw4Zh5cqVaZHjdhM2adLkqyhyCUhHR8e0z7nxy5cv5xVpMScAfXx8WCdjvl2NeTn9/0H0AFKHFo3lQ+Da/RfwXBzMhubKBSTM1M2x3KQXb+EwU/m48cUpbVDc1ISPqaIe03LeMdzIcHx3VZ9G8KinXhfwPuvCEBKnXR1BUUMi44gAESACeiJw//kbOM46qqTt0lQ3FCuo3u9ZPZnLS835m0/QZaWikD+3e4fbxUMXESACxkVg6v6r2BR6kzndy6EyZnWunyWEzHZEB49zQeWS0t0Rrc+I0/pbn7TFq0uyCUAOafoxYO7478mTJ1kSLh33vHnzMG7cuLQ/p06dCi8vL6VIHD9+HC4uX1qNZ1U/LyYmJu0I7MePH2FnZ5emp2BBRVfRN2/epNkRHh6edgw5KioKtWrV4hVxQyQAuaYhT58+ha1t1m9XDh48iC5duiA1NTXN19jY2LSdjUJe9AASkibJ4ghcvvMMHZadYjC447jcsVxdXM9ep6LBdHntyEjn5DgrCPefv2XYNgywh0vtsmphHLw5HAFRD9mc0W0s8LMrv+eiWopoMBEgAkSAJ4FTccngGji5WZVH9dKFeM4y/LDMSk5Ez/BA/rzCl7fQl7dUyF9fpEkPERA3gbG7LmHX+TvMyB+cqmNK+7pZGp1ZTVT/Uc6oXV66NVH1GSFaf+uTtnh1SToBGBERAScnJ3BJuMKFC4M7Fswl9Li/t2/fzmryWVhYpCXoihRRfjjwSQByoeOOEHNHibmLS5z9/vvvabUB4+PjMWfOHHB2pI+bOXNmptF+8OAB/PyUa7hwMqOjo9PGb9iwQWles2bNYG5u/pWskJAQxMXFsc+Tk5MxduzYtL85FoMGDVKa079/f6W/033mdiy2b98+rYkKV+uPu7jahbt37077H3f0l7u43YzcrkahL3oACU2U5OlzR8Grdx9gNdVfCXrI7y4wKyH9N5ANvY/gyatU5ts/PzaBY81Sat1go7ZH4N+L99icoS1q4g9PS7Vk0GAiQASIgFAEMhaaz583N47+1hKViite5gqlRxdy9Lm7XRf2ZyYz+kEK3BcpF/Lnduznzp1LXyaQHiJABERAYPi2Czh0+T6zZGQrc4xxq52tZZaTffH2vaIr+r/DndCgsnS7ouszDLT+1idt8eqSdAKQw3rgwAH06dMHL168yJQyl/w7dOhQpsk0vglA7ijxjz/+iL/++ivLSA4cODAt4Zg7d+ZNADLq4nM7cAlB1eQdN4/7bNOmTXxEpI1JT+SlT+Brh6mpKRYuXIjBgwfz1qXOQHoAqUOLxvIhEBr/GL3WnmFDdVlTKPXDJ1hM8lUy69hvLSW1qyQrplZT/PAq9SP7eu+wpmhYpQSfELAx4/dewT9nb7G/+zlWxbSO9dSSQYOJABEgAkIQ4Hb+9c5Qb46Tyb2Q4F5MSOGKuPUU3644zUwtmC8Prnl7SMH0LG28kfwKLVUaaV339kCBfNLd1SjpgJDxRMBABAZsOItj0Y+Y9nEetTGs5dcbYDKaZzs9AE9fv2cfafKi2kDuGlwtrb8NHgJRGCD5BCBH8ebNm1i8eHFaoo+7sU1MTNISft26dcOIESPAJbMyu/gmANPnHj58OC3Jd+7cOXA770qXLg17e/u0DsGentkfNeSbeEvXpasEYEpKCv7777+0eobcrsj79++n+fLhwweUKFECVlZWcHV1TdtJmL4zUBd3Kj2AdEHVuGWeiHmEfn+dZRDKFc2PsAmtdQKFS6xXH39YSXbAr86wKCf9IwjmEw7jw6cvO4C569DPzWBVsZhaHL0PRmF9SCKb062RGeZ1s1FLBg0mAkSACGhL4N6zN/hmaYjSrmZOZk51prTVK+R81ZdbJUzzIWIK/4Z2QtoilCwuLk1nK9c1vOzlhqIFpFvXUCg2JIcIGBOBHqtDEZb4hLns1b4u+jtVzxZB01lBuJexVE1/e7hYqleqxpgYZ/SV1t/GGnllv2WRAKRQSo8APYCkFzOxWxwY9RCDNoczM81KFETI7610ZrbFRF+kflQcQTg4shnqVVIvUaYz4zQU/OHjJ5hPVN7ZGDi6BczLFlZL4oKAaCw5qihV0M66Apb3bqiWDBpMBIgAEdCWwLjdl7AzXFFfKl1e81qlsWVgY23F62X+segkDNhwjumqUKwAQse76kW3rpQkv3wHuxmBSuLPTWyNMkXy60olySUCRECEBDosC8HlO8+ZZXO71Ed3+8rZWtpq/nEkPHrFxqzo3RBtrSuI0DvxmUTrb/HFxBAWUQLQENRJZ9pOzcqVvzzgb9++DTMzM6JCBLQi4HvlPn76+wKTUaN0obQ6T7q6hDgqqyvbNJX7OvUD6k5Rrm2oSXe1lcfjMcfvOjPDpXYZbBjgoKlZNI8IEAEioBEB1Z0i6UKqlTLF8bFfmsCJ/fK7eh9Dtyr+beMamHAlJ6R8pbx9D2uvACUXTv3RSjJ1GaXMnmwnAmIi0HrBCcQlvWQmLe1li/Y2FbM1sd2SYETeU5T+mt/NBl0a0TqST1xp/c2HkvzHUAJQ/jEWpYf0ABJlWCRt1P6Ld/HL9ovMh9rlisD/V2ed+dRgegCeZahBsmNwEzSuoV6zDJ0Zp6Hgp69SYeut0t14oivKFimglsRNp29g6n+RbE7j6iWxY4ijWjJoMBEgAkRAGwJct8jak33x/qOipEG6vHx5ciHa21MSTSf+jbiLUTsU/7ZZli8Cv1G6+7dNG+Z857778BG1Jyk3xpNLHV2+DGgcESACgNPso7j77A1Dsb6fHVzrlMsWTdeVpxF+8ykbM6NTPfRpUpVw8iBA628ekIxgCCUAjSDIYnSRHkBijIq0bdp9/g5+23WJOWFdqRgOjGymM6fsfQLxKOUdk791YGM0q1VaZ/r0Ifj+8zdwnKVcl+nSVDcUK6heXaad4bcxbvdlZnJ9s2L4b4TuYqEPNqSDCBABaRHguplzXc2zukLHt0KFYuLvBLz97C38sfcKc4Prdsl1vZTylVkdXb9RzWFZvqiU3SLbiQARUJOAJg09+q4PQ3BsMtM0qV0dDGpeQ03Nxjmc1t/GGXdVrykBSPeBQQjQA8gg2GWtdFvYLUzYp1gkNaxSHHuH6W6RpPrWcoMMihAL1Znx4OV7GLEtgt1vXA1BrpYgXUSACBABfRG4/uAFPBYFZ6lu5xBHOFQvqS9zNNaz8VQivA5EsflNapTE9sHS31FtMckXqR8UdXT/G+GE+mbFNeZEE4kAEZAeAdXnwP7hTrCpnP1zYPDmcAREPWTOjmljgZGutaTnvAEspvW3AaCLUCUlAEUYFGMwiR5AxhBl/fqo72OnLn8eR2Kyogjxqj6N4FGvvH6dFlhb9IMUuC86qSQ1cVZb5MqVSy1Nx64nYcBGRdH6isUK4LTEi9arBYAGEwEiYHACJ2Me4fsMneFVDVrQ3QadG4q/btSqE/GY7auoqdqydhlslEFNVeup/kh594GFZfdQR9hVE39C1uA3NhlABGRC4OOnz6g54bCSN0d+dUatckWy9fCX7RHYf/EeG/NTy5r43cNSJlR06watv3XLVyrSKQEolUjJzE56AMksoCJwZ11wAmYcusYs0XWXR7eFJxDzUL3CxSLAlK0Jl+88Q4dlp9iY/HlzI3qGp9pmn0l4jJ5rzrB5xU3z4eIUN7Xl0AQiQASIgKYEVMtCqMr5tbUFfmkt/l0jC4/EYHFQLDPfw6o8VvVtpCkW0cxr5H0Ej1+lMnv+HtQYTubSLqMhGrhkCBGQAIHMmgGF/O4CsxKm2Vr/x57L2H7uNhvTv2k1eHWwkoDHhjeR1t+Gj4EYLKAEoBiiYIQ20APICIOuY5dXHI/DXL9opqWVZVn81d9eZ1pVu5BJZTdJdkDO3XiCbqtC2ZCiBfLispe72gxVE4kmeXMjRoNEotqKaQIRIAJE4P8EVP9NUAXTrZEZ5nWzET2vWb7XsPpEArOzU4OKWNTTVvR252SgaodmOZTRyMln+p4IEAEFgaQXb+EwM0gJyYXJbVCykEm2mLz+i8TG0zfYmJ72lTG7S31Cy4MArb95QDKCIZQANIIgi9FFegCJMSrStmlxYCwWBsYwJ9ytymF1XzudOdVp+SlcvP2MyZ/TxRo97KvoTJ8+BIfEJqPP+jCmqkyR/Dg3sbXaquOSUtB6gfJR4viZbZEnt3pHidVWTBOIABEgAv8nMO1AJDacUiwSVcFIpZaeXBe7Lecdw43Hr1lY5FBGg/7jIwJEgD8BTetOz/G7jpXH45mijg0qYrEMXorwJ6f5SFp/a85OTjMpASinaErIF3oASShYEjF1nv91LD+m+EHQ3qYilvbS3S6J7qtDcTbxCaPj3dEKfR2rSYRW5mYGXXuIgZvC2ZdmJQoi5PdWavt099kbcE1SMl5XvNxQpIB63YTVVkwTiAARIAL/JzB82wUcunyf8ahayhQ3MyScNH2+6RuwXI+7qZbRWNyzATo2qKRvvKSPCBABAxGIuvcCbZcoGjVx74i5l8U51Z1eEhSLBUcUL/zd6pbDmu9198LfQHh0opbW3zrBKjmhlACUXMjkYTA9gOQRRzF5MfPwNaw5qTgm1blhJSzo3kBnJvZZF4aQuGQmf/I3dTGwWXWd6dOH4MNX7mPY3xeYqpplCiFoTEu1VT97nYoG048ozQub4IpyRQuoLYsmEAEiQAQ0IdB9VSjO3lC8pOlsWwl7I+4yUdyO5GhvD+TNk1sT8XqbM2p7BP7NUPB+SIsaGO9ZR2/6daWo/dIQXLn7nImf17U+utlV1pU6kksEiIDICITfeIKuGcrOFM6fF1en5Vx2Zu3JBPgc1l/Nb5Fh08ocWn9rhU82kykBKJtQSssRegBJK15SsFbfx6QGbDiLY9GPGJo/PC0xtEVNKaDK0sZ9EXfw645L7Pu6FYri8C/N1fbp3YePqD3JT2nesd9aonrpQmrLoglEgAgQAU0IqB4xndGpHib9e1VJVPA4F1QumX3BeU10Czln6Jbz8It8wET+4loLv7axEFKFQWR1WXka528+Zbp9vq2H3o2rGsQWUkoEiID+Cah2audbdmbLmZuYnOFZbl+tBHYNbap/BySokdbfEgyaDkymBKAOoJLInAnQAyhnRjRCPQIT913B32G32KS+TarCu1M99YSoMXrw5nAERD1kM8a0scBIV/F3lMzOxX/O3sL4vVfYENsqxbFvmJMaVL4M/fz5M8wn+uLjp89s7qGfm8GqYjG1ZdEEIkAEiIAmBOpO8cPr1I9s6s4hjvhh4zm8fPeBfbbtx8ZoWlPcnWf7bziL4xleNv3uYYmfWkr7ZRMXgF5rziA04TGLxZRv6uIHie+i1+Q+pTlEwFgJ+F19gKFbzzP3uTINJ8a65Ihjz/k7GLNL8bK6XqWiODhS/ZfVOSqS4QBaf8swqBq4RAlADaDRFO0J0ANIe4YkQZnAuN2XsDP8DvvwB6fqmNK+rs4wjdh2AQcz1Jca2cocY9xq60yfPgRvPJUIrwNRTJU2RfKtp/ojJcNCe/dQR9hVK6kPN0gHESACRk6AS/LVm+qvROH4by3TFpvXH6Swz+d2qY/u9uI+dtpzTSjOJCiOMk9tXxcDnKRdboILgGpiUw676I38PztynwioRUD11Ill+SLwG+WcowyhytXkqEiGA2j9LcOgauASJQA1gEZTtCdADyDtGZIEZQK/7riIfRnqO3HHcbkFha6u0TsuKtWTkkNdptUn4jHL9zpD1sKiDDb94KARwsYzA/HwxTs2d/MPDnC2KKORLJpEBIgAEVCHQGLyK7j8eVxpStR0d/z8z0UEXlPs3P65lTlGi/zFjWrH+VmdrdHLQdod57nAqO6iH93GAj9LfBe9OvcojSUCxk7g77CbmLhPUZahYZXi2Mvj1Mmx60kYsPEcw1exWAGcHu9q7Dh5+U/rb16YZD+IEoCyD7E4HaQHkDjjImWrhv99AYeuKDo+6nph9/vuy9gRfpsh0/WOQ33ERrWzmrtVOazuq1lnNW7xzS3C069VfRrCo14FfbhBOogAETByAmEJj9FjzRlGIb24vGqt2G6NzDCvm42oaXksOqm0a3FhDxt8a2smapv5GKe6i364S02MddfdSzs+NtEYIkAE9EdgXXACZhxSv5lHaPxj9FqreL6XMM2HiClu+jNcwppo/S3h4AloOiUABYRJovgToAcQf1Y0kh+BHzeH44gea/JN+vcKtp7RX81BfhS0GzXP/zqWH4tnQjrYVMSSXrYaCW27OBhR91+wuQu626BzQ+kvWjWCQZOIABHQK4EDl+5h5D8RTCfXgIhrRLQoMAaLAmPZ5x5W5bGqbyO92qauMtWXKSt7N4SntfRfpozZeQl7LijKdvzYvDomttNd2Q51udN4IkAEdEtgcWAsFgbGMCVudcthzfc5v3S+ePsZuJ3R6VeBfLlx3dtTt8bKRDqtv2USSC3doASglgBpumYE6AGkGTealTUBfdcTmn4gCn+dSmQG9bCrjDld60s6RDMORmFdiMInbXbHdF15GuEZOjxyHTj7NKEOj5K+Qch4IiARAutDEuF9UFHP1KF6SXBNQFQ/b1qzFLb92ETUXjnOCsL952+ZjRv628PFsqyobeZjHNdwims8lX71c6yKaR1117iLj000hggQAf0RmOV7DatPJDCFnRpUxKKeOb90jn6QAvdFJ5UMTZjZFrlz59Kf8RLVROtviQZOYLMpASgwUBLHjwA9gPhxolH8CfRedwan4hQdBSd/UxcDddhRUPWHS2fbSljQowF/g0U4cvK/V7HlzE1mWZ8mVTCjk7VGlvZdH4bg2GQ2d2LbOvjRuYZGsmgSESACREAdAqrP52/qV8Cy7xpiV/htjN19mYmSQvdI2+kBePr6PbNZCp2L+cRK9Th2T/vKmN1F2i/R+PhNY4gAEfhCYMr+q9gcqvjNydU25Wqc5nTdevwazvOOKQ27Nt0DBU3y5DTV6L+n9bfR3wJpACgBSPeBQQjQA8gg2GWttPuqUJy9oeiU6N2pHvrqcMfZ/IBoLD0ax5imLzClDFm1kzKXQOUSqZpcQ7ech1/kAzZ1VOtaGNXaQhNRNIcIEAEioBYB1SZN6TVa/SMfYMiW80xW1VKmODHWRS3Z+h5cZ7If3rz/yNTuHdYUDauU0LcZguubdfgaVp9U7P6Rw0s0wSGRQCIgYwK/7bqE3ecVZQD4/uZMSnkLB58gJTIXJrdByUImMqYljGu0/haGo9SlUAJQ6hGUqP30AJJo4ERsdsflp3Dp9jNm4Zwu1uhhr7tOiUI2zBAL1l+2R2D/xXvMnGEta2Kch2ZF2b/qkuxcA+Pb1hGLq2QHESACMiagugOZ6wjPdYaXWvH4z58/o8aEw/j8WRGswz83R92KRSUfPdWXaO3qV8Dy7xpK3i9ygAgQAX4ENG3e9/LdB9Sb6q+k5NQfrVCpeEF+io14FK2/jTj4GVynBCDdBwYhQA8gg2CXtVJ9N51YeTwec/yuM6atLMvir/72kmY8ZEs4/CMfMh9+bW2BX1rX0sinifuu4O8weTVJ0QgETSICREDvBNwXnkT0wxSmN70JUeS952i3JIR9nid3LsT5eCJXLnHWjnr34SNqT/JT4nd0TAvUKFNY70yFVrg0KBbzjygaALSuUw7r+uXcAEBoO0geESAChiEwYMNZHIt+xJT/7mGJn1rWzNGYDx8/wXyir9K4wNEtYF5W+s/FHJ3XcgCtv7UEKJPplACUSSCl5gY9gKQWMfHb23rBCcQlvWSGLu1li/Y2FXVmuGox+WbmpbF1UGOd6dOHYCEbqfgcisLaYEVDkS4NzTC/u40+3CAdRIAIGDkB1bp5WwY6oHmtMrj95DWaz1WuHRU5zR2F8ucVJbHnb97DZlqAkm2n/2iFijLY6bLmZDxmHla8RHO2KIPNPziIMg5kFBEgAsIT6L46FGcTFaV7pnWwQr+m1Xgpspjoi9SPn9jYgyOboV6lYrzmGvMgWn8bc/QVvlMCkO4DgxCgB5BBsMtaqfPcY7j15DXzcXXfRnC3Kq8zn7eE3sDk/ZFMfnqXSZ0p1IPgXmvOIDRB0Uhlavu6GOBUXSPNC47EgDsmnX61tS6PFb0baSSLJhEBIkAE+BL4+Okzak44rDTcb1RzWJYviswSaqHjW6FCMXEeHUt68RYOM+VZ62rjqUR4HVB0am5SoyS2D3bkG2YaRwSIgMQJtF8agit3nzMv5natj+52lXl5Vd/LHy/efmBjuS7v3O9wurInQOtvukM4ApQApPvAIAToAWQQ7LJW2mRmEB68eMt83DDAHi61y+rM5+1nb+GPvVeYfNsqxbFvmJPO9OlDcOcVp3DhlqKOIteNjevKpsm1+kQ8Zvkqdne0sCiDTbS7QxOUNIcIEAE1CLx4+x71vTLfNZdZctB/lDNqly+ihgb9Dc2s22XUdHeYmohzx6I6ZLaF3cKEffL6N1Qd/2ksETB2Atqc3Gk8MxAPX7xjCLnfl9zvTLooAUj3QM4EKAGYMyMaoQMClADUAVQjF9nQ+wievEplFLYNaoym5qV1RmXP+TsYs+sSk1+vUlEcHNlcZ/r0IbjdkmBE3nvBVKXXzdJE91c7JKuVxM6htLtDE5Y0hwgQAf4E7j17g6azjypNuOzlhqIF8qV9Zj3VHynvFDtHdg11hH01ce4ciXmYAt99nc0AACAASURBVLeFJ5V8SZjZFrlzi7NmIf8oAar/hlpVLIpDP0v731B1/KexRMDYCTjNPoq7z94wDOv72cG1TjleWFrOO4YbjxWnflb1aQSPero79cPLKAkMovW3BIKkBxMpAagHyKTiawL0AKK7QmgCqou63UMdYafDRd2BS/cw8p8I5oZFucII+LWF0G7pVZ7q21iuIyPXmVGTa/f5O/hNZglSTTjQHCJABPRLILOkWfzMtuAafnCX6qLzr/52aGXJb9GpX0+Ay3eeocOyU0ytSZ7ciPHx1LcZOtGn+m9orbKFcWS0tP8N1QkoEkoEZEqgkfcRPNbwxb3HopO4/kDR6GlRjwboZFtJpqSEc4vW38KxlLIkSgBKOXoStp0eQBIOnkhNt5jki9QPioLA/41wQn2z4jqz1u/qAwzdep7Jr166EI791lJn+vQhuPnco7j9RPE2dt33dmhdV7OF8eEr9zHs7wvM7BplCuHoGGnz0UcMSAcRIALaETh/8ym6rDzNhBQyyYPI6R7sbyktHLkC+Vyh/PSrSIG8uOLlrh0gkcz2j3yAIVsU/4ZWKWmKk+NcRGIdmUEEiICuCdSd4ofXqR+Zmr3DmqJhlRK81HZafgoXbytK1szpYo0e9pqVrOGlUCaDaP0tk0Bq6QYlALUESNM1I0APIM240azMCXz+/BnVx2de9F1XzI5ef4gfNoYz8ZWKF8SpP1rpSp1e5Dr4BCIpRVFTJb1zpibKj0UnYcCGc2xqhWIFEDreVRNRNIcIEAEiwJvAiZhH6PfXWTa+XNH8CJvQmv2t2nlyekcrfO/Ir/MkbyMEGngy5hG+z+BLmSL5cW6iwheB1BhEzPHoJPTP8G9E+aIFcGYC/RthkGCQUiKgZwLc73auWdOnzwrFvr80R50KRXlZ0mN1KMI07CDMS4FMB9H6W6aBVdMtSgCqCYyGC0OAHkDCcCQpXwhwO/+4HYAZr6NjWqBGmcI6QxQc+wh91ysWmWWL5MdZiS/MbKYFpHXJTL+06aqmunOlaIG8uCyTnSs6u6lIMBEgAloTOHT5PoZvU+w+rlmmEIIy7D4etCkcgdceMj2/uVlgRKtaWuvVhYCAyAcYnGGXXOWSBRE8TtovmtI5nY5Pxndrwxi2koVMcGFyG11gJJlEgAiIjMC7Dx9Re5KfklXcKRruNA2fi3vJw73sSb/Ge1piSIuafKYa9Rhafxt1+JnzlACk+8AgBOgBZBDsslX68t0H1Jvqr+RfyO8uMCthqjOfwxIeo8eaM0x+cdN8uDjFTWf69CG49iRfvMtwjHr/cCfYVNbsGPXVu8/xzdIQZna+PLkQ69NWH26QDiJABIyYwI5zt/D7HkV3WRuzYtg/ohkjMnrHReyNuMv+HuxcAxPa1hElsf8u3cPPGWrNyqlO3vmbT9BlpeJ4s+pRbVEGhIwiAkRAEALPX7+HzXTlbu1nxruifLECvOQP3hyOgCjFi5zRbSzws6s4X+TwckhPg2j9rSfQIldDCUCRB0iu5tEDSK6RNYxfXPdfrgtwxuvsRFeULcLvh4QmVl+49RSdV2RdZ0oTmYacI/Qx6vhHL+E6/4SSS7E+nsiXJ7ch3STdRIAIyJzAuuAEzDh0jXnpZF4Kfw9qwv72+i8SG0/fYH/3tK+M2V3qi5LKzvDbGLf7MrPNulIxHBipSGaK0mieRtFLIp6gaBgRkCGBB8/fosmsICXPLk1xQzHTL93ac7q4FyPcC5L0a1jLmhjnYZnTNKP/ntbfRn8LpAGgBCDdBwYhQA8gg2CXrdLMfkhcnNIGxU1NdOaz6uJF6t0ZtT2OoQr6/vM3cJx1VPnH3VQ3FCvI78edzgJHgokAEZA1gUWBMVgUGMt8dLcqh9V97djfCwKiseRoHPu7rXV5rOjdSJRMtoTewOT9kcw2+2olsGtoU1Haqq5RmXVrTpjZFrn/361ZXXk0nggQAekQSEx+BZc/jysZHD3DA/nz5uHlxNhdl7Dr/B02dmCz6pj8TV1ec415EK2/jTn6Ct8pAUj3gUEI0APIINhlq/TW49dwnndMyb+o6e4wNcmrM5+jH6TAfdFJJfmJs9oiV65cOtOpS8Ev3r5HfS/l4xih41uhQrGCGqnlaglyNQUzXtrI08gImkQEiIDREZhxMArrQhKZ310ammF+dxv2t+oOwWbmpbF1UGNRclp7MgE+hxW7GZvXKo0tA8Vpq7oAbyS/QkuVBMB1bw8UyMcvAaCuPhpPBIiAeAhE3XuBtkuCmUFc3j9+Jv/f0JP/vYotZ26y+b0bV4HPt9bicVCkltD6W6SB0bNZlADUM3BS94UAPYDoThCSQFxSClovUE7Gxfl4Iq8Oj5tm9vYyZoYnTPJK84jro5R3sPcJVAoLV5CdK8yuyfX+4yfUmqjcmCVoTAvU1GFjFk3spDlEgAjIi8Afey5j+7nbzKn+TavBq4MV+3vnudsYt0dxrFa1RqCYaCwNisX8IzHMpNZ1ymFdP8VuRjHZqq4ttEtcXWI0ngjIh4C2ZXR8DkVhbbDiRU/XRmb4s5viRY98SAnrCa2/heUpVWmUAJRq5CRuNz2AJB5AkZkfee852i1RNJzg3iQmzGqnUyvvPH2NZnOUdx1GTnNHofy623WoS4d04U+tiYfx/uNnZvbBkc1Qr1IxXbpBsokAETByAlwHYK4TcPo1wsUcv7nXZn/7Xb2PoVsVXYK5rpNc90kxXvP8r2P5sXhmWnubiljay1aMpqpt0+OX79BohvJLp3MTW6NMkfxqy6IJRIAISIvA6bhkfLdO0QW8VCETnFejC/if/tFYdkxRyuGb+hWw7LuG0oJgAGtp/W0A6CJUSQlAEQbFGEyiB5AxRFl/PkbceopvMzTkKJAvN657e+rUgKQXb+EwU7mAsa7rDurSocyadmi7i7K+lz9evP3AzN45xBEO1Uvq0g2STQSIgJET6PfXWZyIecQo/OFpiaEtarK/tV146hOv98EorM9wnLlbIzPMk8kul5S372GtUnYi5HcXmJUw1Sdi0kUEiIABCARde4iBm8KZ5krFC+LUH614W7LsaCz+DFDsjm5TtxzWfi+P3dG8IWgwkNbfGkCT4RRKAMowqFJwiR5AUoiSdGwMS3iMHmvOMIOLFsiLy17uOnXg6atU2Oq587AuHVKtx5Ind660eizaXE1mBuHBi7dMxMYB9mhZu6w2ImkuESACRCBbAl1Wnsb5m0/ZmBmd6qFPk6rs7yt3nqP9MsWO8Xx5coEr3yDG+q0T913B32G3mO19m1SFd6d6srgDUj98gsUk5TIRR8e0QA0qEyGL+JITRCA7Agcv38OIbRFsiHnZwggc3YI3NDnXR+UNQYOBtP7WAJoMp1ACUIZBlYJL9ACSQpSkY2Nw7CP0XX+WGVy6cH6ET2qtUwdevfsAq6n+Sjq4t5fcW0wpXqq7KE1N8iBquodWrrSafxwJj14xGSt6N0Rb6wpayaTJRIAIEIHsCHgsOonrD1LYkMU9G6Bjg0rs75uPX6HFPOXuk9eme6CgifiaT4zZeQl7Lig6Xf7YvDomtpNHp8vPnz+j+vjDSqH0G9UcluWL0g1OBIiAzAnsCr+NsbsVtVitKxXDgZHNeHut2iHdoVpJ7BzqyHu+sQ6k9bexRl7Zb0oA0n1gEAL0ADIIdtkq1fYogSZgMtu9wNWR4upJSfEKjX+MXmsVuyhLmOZDxBQ3rVz5Zmkwrt59wWRwBZq5Qs10EQEiQAR0RcBp9lHcffaGiV/fzw6udcqxvzPbvR02wRXlihbQlUkay1WtZziylTnGuCnqGWosWCQTuR2A3L+l6df+4U6wqVxcJNaRGUSACOiKgLYJPCk1c9IVQ03k0vpbE2rym0MJQPnFVBIe0QNIEmGSjJGGKOqe2e6FgF+dYVGuiGS4ZTT0eHQS+m84xz4qX7QAzkxw1cqX7qtCcfbGEybDu6MV+jpW00omTSYCRIAIZEfAZloAnr95z4bsGNwEjWuUYn9/+PgJ5iodyo/86oxaInx2D9p0DoHXkpjtY91rY7iLuWxuAGsvf6RkqBO7a6gj7KtRnVjZBJgcIQJZEFA9wutsUQabf3DgzWv/xbv4ZftFNr52uSLw/9WZ93xjHUjrb2ONvLLflACk+8AgBOgBZBDsslVqqB8Ccupy6x/5AEO2nGf3SNVSpjgx1kWre0a1GP94T0sMyVCMXyvhNJkIEAEioEKAezHDJfc+flJ0Hz/0czNYVVTuPm41xQ+vUj+y2Xt+aopGVUuIjmefdWEIiUtmdk1qVweDmtcQnZ2aGmQ34wiSX6ay6X8Pagwn89KaiqN5RIAISITAkqBYLDiiaOLhVrcc1qjRxMPv6gMM3ar4zVqtlCmOa/mbVSLotDKT1t9a4ZPNZEoAyiaU0nKEHkDSipfYrdW2loim/tWd4ofXGRaR+4Y1hW0V8S0i+fj336V7+PkfRUFmId6m/rT1PHyvPmDqf3GthV/bWPAxh8YQASJABNQm8Cb1I+pM8VOad3KsC6qUUu4s6zgrCPefKxoUbRhgDxcRNijquvI0wrNpaKI2IJFNaDorCPcyxOGv/nZoZak4ri0yc8kcIkAEBCIwx+86Vh6PZ9I6NqiIxT1teUvXxakV3solPJDW3xIOnoCmUwJQQJgkij8BegDxZ0Ujcybwd9hNTNx3lQ3kdnJwOzp0fTWYHoBnr7M+aqZr/ULKV02i1jcrhv9G8C/InJktci5gLyR7kkUEiIAwBJJS3sLBJ0hJ2PlJrVGqcH6lz9wXnkT0w6wbhQhjjfZS5F5H1eXP40hMVjSKWtWnITzqUaMo7e8ckkAExE3A679IbDx9gxnZ074yZnepz9voMwmP0XONsHWreSuX8EBaf0s4eAKaTglAAWGSKP4E6AHEnxWNzJnAhlOJmHYgig10rFEK/wxukvNELUfY+wTiUco7JmXrwMZoVkuax5e2nrmJSf8qkqj21Upg11DtkqiT/72KLWduMj69G1eBz7fWWlKn6USACBCBzAkkPHqJVvNPKH0ZPcMD+fMqd/hV3Vnn3ake+japKjqsrRecQFzSS2bXsu9s8U39iqKzU1ODpJKI1dQ/mkcEiEDmBP7Ycxnbz91mX/ZvWg1eHax444q49RTfrjjNxhfMlwfXvD14zzfWgbT+NtbIK/tNCUC6DwxCgB5ABsEuW6WrT8Rjlu915l8LizLYpEYxYU3BqHab3NDfHi6WZTUVZ9B560MS4X1QkURtZl4aWwc11sqmWYevYfXJBCajs20lLOjRQCuZNJkIEAEikBWBy3eeocOyU+xrkzy5EePj+dXwHzaew9Hr4m+u0WzOUdx5quhovO57O7SuK58jsu2XhuDK3ecsPnO71kd3u8p0gxMBIiBzAr9sj8D+i/eYlz+1rInfPSx5e33t/gt4Lg5m43PnAuJntkWuXLl4yzDGgbT+Nsaof+0zJQDpPjAIAXoAGQS7bJUuDYrF/AzFhNvULYe1ahQT1hRMy3nHcOPxazZ9dd9GcLcqr6k4g85bcTwOc/2imQ2ulmWxvr+9VjYtCozBosBYJsPDqjxW9W2klUyaTASIABHIisDpuGR8ty6MfV2ykAkuTG7z1fBR2yPwb4bF55AWNTDes47owNrNCETyS3nsMs8MrtxrHIruhiKDiIBICAzZEg7/yIfMmtFtLPCzay3e1mW22ztmhidM8ubmLcMYB9L62xijTglAirpICNADSCSBkIkZ8wOisfRoHPOmXf0KWP5dQ51757bwBGIeKo5nLe1li/Y20jyetfBIDBYHKZJ1ba3LY0Vv7ZJ1a08mwOfwNRYHZ4sy2KyHnZk6DzwpIAJEQJQEVLuZVylpipPjvu5mPmX/VWwOVZQn6OVQBbM6i688gfVUf6S8+8BY7x7qCLtqJUXJXhOjvlt75n/snQVYlUkXx/92d4stKqKAKIoIoiIqGOva3a69dqyF2K1r5xrr6tprIqiIgggidoEiYhd29/e8+DGXeyVuvH3PPM8+3yd35sRvXoY75505ByduPGVDvRpbo7tLSWNE0RgiQAQURKDzmjAEXnvCLB7T0Aq9XEvr7cH9F+9RY8YRrf4XvOsje8Z0esswx460/zbHWacAIM26TAjQAiSTiVCJGVJdNW20MAiX779iFOe1tkPzykUUSXX6gatYcUxzXbeZvQXmm3hdVzevoEPxXNguQnEWRU4AGU0EiIDJBHacvoth284zOdaFssNnUM2f5M7xi8TiAM1Lo8a2hbBYhJdGhjpYZqwPPn/9zobt+90FFS1yGCpGtv27rg3D0UhNEIC7AshdBaRGBIiAugm0Xh6CsJhnzMnJTSugk1MJvZ1++uYjqkw5rNX/1Fh35MumXfBJb4Fm0pH232Yy0Sm4SVeA6TmQhAAtQJJgV61S3WpibRyKYmZL/auJGQvm1yXBOHfnBRs+s4UN2lQtZqw4SceZWpEtMeN3nrmLoVtT3oxL6jgpJwJEQDUE1p+IwYQ9l5k/1UrmxtbeTj/5tzLwBqb5aPLG1iyTFxt6mJbzlG+IX799R+kxPlpiDw91hWX+bHyrkkye7jXAIe5lMchd/2uAkhlOiokAETCJgG7+z9ktbdHKgPyfbz9+QYUJflo2BI2sg6K5M5tkl9oH0/5b7TOsn38UANSPE/XimQAtQDwDNXNxY/67iE0nbzMKXDVHrqqj0O2nN5gyrSSpD4fROy/i3zANwy5OxTGxqWkMfS89QJ9/zjD1JfNmQcDw2vqYQ32IABEgAgYTWBIQhdl+Kecy3XjyFsb+p6l6XqV4LuyQ2elkc9jg/v7vWew9rykE0L9OaYxooH8hAIMfEBpABIiALAiYWuH8y9dvsBx7QMuXw0NrwTJ/Vln4J1cjaP8t15kR1y4KAIrLm7T9nwAtQPQo8Elg+Lbz2H76LhPZw6Ukxje25lNForI6rj6J41Gx7DNOJ6dbiW3o1nPYeeYeM723aymMbmhaUvxj156gy5owJrNA9gw4OcZdiXjIZiJABBRAYMaBCCw/doNZ2rRSYSxoa/+T5bvO3sPgLefYz60KZoPvYFdZeWgOV9yGbT2PHWc0f7t7upTEOBH+dstqoskYImCGBJxnHMG9F5oK5391cUDd8oZVOLcc44Mv39SbIkGIx4L230JQVZ5MCgAqb85UYTEtQKqYRtk4MfDfs9iT4BQBl0OIyyUkdOu2NgwBCfIX/eFphT61lJm/qP+mM9h/4QFDNtDNEkPrlzMJYXjMM7RcHsJkZMuQFhcnNjBJJg0mAkSACCRFYNyui/gnVHOSuYNjMUxt9nNxD91iIcXzZMaxET8XC5GSNLc55jbJCdtF7/rIpqIk97qn9zs7FcckE0+eSzlnpJsIEAH9CDhMOYTYN59Y5009HVHDMq9+g//fq+IEP7xJUCSJO8XNneamljQB2n/T08ERoAAgPQeSEKAFSBLsqlXaZ8Np+F5+yPwbVLcMhtQrK7i/vf4Ox8Erj5ieYfXK4ve6ysxf1HN9OA5f1fgyokE59K9jaRLDy/dfotHC40xGmtSpEDXVE6lSpTJJLg0mAkSACCRGYMiWc/jvbIKTzLVKYbTnzyeZg64/Qae/NKeT82bNgPBx8jqdfOPJG9Sde0zLzetTPZEuTWrVTL4QuWdVA4ccIQIqJlDByxdvP31lHhoTvKsy+RCevjUtiKhixIm6Rvtvc5vxxP2lACA9B5IQoAVIEuyqVdpj3Sn4Rzxm/vERvNIHlhCn5vTRK0SfTn+dRNB1zXXmcY3Ko2fNUiapuhn7FnXmHNWSETnFAxnSpjFJLg0mAkSACCRGQPdFxvD6ZTHA7eeXMqdvPUeLZSeYiCzp0+DyJA9ZQU3sBcqNaQ1lZaOpxghRfd5Um2g8ESACwhL4/v1HgaMEt3fhM7AmrAtnN0ix7jXitV2roo5VfoNkmFtn2n+b24xTAJBmXEYEaAGS0WSowBQhglf6YBm65Rx26nHaRB9ZUvdpvSIEYTefMTMmN62ATk4lTDLr0asPcJzmryXjnFc95Myc3iS5NJgIEAEikBiBtitDEBqtWce8m1ijq/PPeVmvPngFzwVBTAR3KDl6WkNZnU5WQpDS1Kdw3sFILDwSxcQ0simEJR0qmyqWxhMBIiBjAh+/fEW5cb5aFnIF4rhCcYY0tzlHER37lg1Z1qEyPG0KGSLC7PrS/tvspjxRh+kEID0HkhCgBUgS7KpVqhu8mtS0AjqbGLzSB9ao7RewJfwO69rduSS8mghffEQf2wzt03RJMM7fecGGzWphi9ZVixoqRqv/qw+fYet9UOtnJ/5wQ+GcmUySS4OJABEgAokRaLwoCJfuvWIfzW5pi1YOP69jt5++g+vsAC0RVyd5IFN6+ZxOPhEVi/arTzIb82RJj9Pj66lq4hcfuY45B68xn9zLF8DqLg6q8pGcIQJEQJvAy3efYTdJ+7th6Oi6KJgjo0GouJc43Muc+Da/jR2a2RcxSIa5dab9t7nNeOL+UgCQngNJCNACJAl21Sr9dUkwziUIXs1oboO21YoJ7q9uwvlO1Ytj8q8VBdcrhAKPPwMR8fA1E72gbSU0rWRhkqovX7/BcuwBLRmHh7rCMn82k+TSYCJABIhAYgRqzw5AzNN37KPlHSvDo+LPJ0KevP6IqlMPa4k4Pc4debJmkA3YIxGP0H1dOLPHImcmBP/hJhv7+DBkVWA0pvpcZaJqlsmLDT0c+RBNMogAEZApgYcvP6D6dO3bIee96iNH5nQGWSzVd3+DjJRZZ9p/y2xCJDKHAoASgTd3tbQAmfsTwK//DRcE4UqCt4DzWtuheWXh3wJO3HsZa4NjmDNtqxbFjBa2/DonkjQuVx+Xsy++JbVxNtScsuMO4NOXb2zYngHOsC2S01Ax1J8IEAEikCIB3cqS//RwhEuZnytLvv34BRUm+GnJCxpZB0VzZ05Rh1gdfC4+QL+NZ5i6Uvmy4Miw2mKpF0XP+hMxmLDnMtPlWDI3tvR2EkU3KSECREAaAjGxb1Gbh/zQ+qZ8kMZLeWql/bc850VsqygAKDZx0hdHgBYgehD4JOA+7xiiHr9hIhe3t0dj28J8qkhU1nSfq1gRGM0+a17ZAvNaVxJcrxAKakz3x/2XH5hovpIpV5p0EC/efWZyN/eqjuql8gjhAskkAkTAzAmUG3cAHxO8cNjV3xmViv78wuHbt+8oNcZHi5bfYFeUKyif08k7z9zF0K3nmY3WhbLDZ1BNVc3wv2G3MXrnReaTfbGc+K+fs6p8JGeIABHQJsBXDtYua8Jw7NoTJny0pxV61ypNuJMhQPtvejw4AhQApOdAEgK0AEmCXbVKXWcF4PYzzbWvlZ2qoH6FgoL7O/dgJBYlSGDe2LYQFrdXZgLzKpMP4enbT4zZpt8cUaP0zydnDIUqVGDRUDuoPxEgAuomwJ005k4cJ2yHh9aCZf6siTpefrwv3n/+yj77r18N2BfLJRtIm07expj/NMGxysVyYqfKgmPmEOSUzQNFhhABmRA4c/s5mi/VVGHPnD4NrhhRhb33hnD4XX7EvBriXhaD3H+u+i4Tt2VhBu2/ZTENkhtBAUDJp8A8DaAFyDznXSivq0/zx8NXmtNr67pVRe1y+YVSx+Qu9L+OeYc0CcwbVCiAFZ2UmcC84gQ/vPn4hfm2o28NVClu+ma47tyjuPFEc7V4SfvKaGRLVdoEfzhJAREwMwLP336C/eRDWl6fHFMXBbInnlhe97rwxp6OcLY0/aUHX9jXHL+JSfuuMHE1SufBpt+q8yVeFnL2XbiPAZvOMlu4YC0XtKVGBIiAegnwVeBo0Oaz2H3uPgPVr3ZpjPSwUi84Hjyj/TcPEFUgggKAKphEJbpAC5ASZ02+NleefAjPBDi9lpLHy47ewEzfCNbNzSo/1nStmtIwWX5eZqwPPn/9zmzb97sLKlrkMNnWXxYfx4W7L5mcWS1t0TqRqpwmKyIBRIAImDWBO8/eoeYs7cq+lyY2QNYMaRPlUnPWEdx59p59tqqzA+pZF5ANw6VHozDLN1IVf1+Sgnrw8kP02nCafVwsd2YEjqwjmzkgQ4gAEeCfgP/VR+ix3vQCRyO3n8fW8LvMwO7OJeHVxJp/g1UkkfbfKppME1yhAKAJ8Gio8QRoATKeHY38mcDPp9ecUKV4bsFRrQ6KxpT9yq9g+PXbd5TWyYfFV7XeNitCcPLmMzYXE3+pgC41Sgg+N6SACBAB8yIQ+fA1GvwZqOV09LSGSJ06VaIgGswPROQjfiuf80mcO13OnTKPbw1tCmJphyp8qpBcFpe/i8vjFd8KZM+Ak2PcJbeLDCACREA4Anyd/PXafQl/h9xihnZwLIapzWyEM1wFkmn/rYJJ5MEFCgDyAJFEGE6AFiDDmdGIpAmUHXsAn75qKs3uHeACmyKmn15LifmGkBiM362pYFitZG5sVWAFw/efvqK8l6+Wu3xVxOy2NgwBkZokzaM8rNC3NiVpTunZos+JABEwjMDZ28/RLEFeqYzpUiNismeSQpotDcbZ2y/Y59Ob26BdtWKGKRWw909FpuwtMK+NMotMJYUp5MZTtFsVyj7OlTkdznrVF5AqiSYCREBqAttP38XwbZoCRzYWObD3dxeDzZq6/wpWBd1k41pULoK5re0MlmNOA2j/bU6znbSvFACk50ASArQASYJdlUq/f/+OkqO1qzn6Dq4Jq4LZBfd3c9ht/KGCCoYv3n1CpUnaubPCxtRF/iRyZxkCtv/GM9h/8QEbMtDNEkPrlzNEBPUlAkSACKRI4MSNWLRfdZL1y50lPc6Mr5fkuA6rQxEc9ZR9Pr6xNXq4lExRj1gdJuy+hPUJTrdwwUkuSKmmdvrWc7RYpikGkCV9Glw2ohiAmpiQL0RA7QQ2hN7C+F2XmJtVS+TCtj41DHZbtxAfl1+ayzNNLWkCtP+mp4MjQAFAeg4kIUALkCTYVan045evKDdO+/TakWG1UCpf4pUf+YSw4/RdYspiugAAIABJREFUDEvwFrOiRXbs+70mnypEkfXw5QdUn+6vpeu8V33kyJzOZP0jtp3HttOaHC3cBpvbaFMjAkSACPBJwNC8Ur/9HY5DVzQVJIfVK4vf68qnguSo7RewJfwOQ9TNuQQmNKnAJzLJZV269xKNFx1ndqRNnQpR0xpKbhcZQASIgHAEVgVGY6qP6elzFh+5jjkHNYX43MsXwOouyizEJxxtbcm0/xaLtLz1UABQ3vOjWutoAVLt1Iru2OsPn2HjfVBL7/FRdVAkV2bBbdlz/j4G/qupYFiuQDb4DXEVXC/fCm49fYtas49qiY2Y7IGM6dKYrMocTrGYDIkEEAEiYDIBQ/NK6VaQ5FITcCkK5NLkbh8fnK4/eo168/XP28iHTpJBBIiAtAS43KZcjtP4Vt+6AFZ2Njxwp5Y83GLOBu2/xaQtX10UAJTv3KjaMlqAVD29ojrHVf/lqgAnbGFj6yJ/toyC2+F76SH6/KOpYFgybxYEDK8tuF6+FVx79Br1BdqEzTgQgeXHbjCTf61UGH+2tefbBZJHBIiAmRPYGn4HI7dfYBRSyis1eucF/BumOWHXxak4JjatKBuKvTeEw++y5oTiEPeyGOQunxOKfIAS8uUTH/aRDCJABPgnMNM3AsuOar4XNq1UGAuM+F74Ux7uErmxtY8T/warSCLtv1U0mSa4QgFAE+DRUOMJ0AJkPDsaqU1AyOurKbE+EvEI3deFs24WOTMh+A+3lIbJ7vOLd1+iyWLNNaz0aVPj2pSkk+cb4gBfb3oN0Ul9iQARMD8Cf4fEwMuAokyT913BX8c1CeRbVSmC2a3kk0Ceq47LVcmNb6M9rdC7lroKKEn599v8fkPIYyIgDwLeey5j3YkYZkzbqkUxo4WtwcbpvvSxLZIDewYYXkzEYMUKHkD7bwVPHo+mUwCQR5gkSn8CtADpz4p6Jk/g9tN3cJ0doNXp6iQPZEpv+vXVlNgHXX+CTn+FsW75s2VA2Fj3lIbJ7vPwmGdouTyE2ZUtY1pc9G7Ai510RYMXjCSECBCBFAhwJ425E8fxrVbZfFjfvVqSo+SeQL7NihCcvPmM2T/xlwroUqOEqp4DKU/wqwokOUMEFERA9/R11xol4P2L4flN1ZKGR8ypo/23mLTlq4sCgPKdG1VbRguQqqdXVOeiHr+G+zztHEI3pjVEmtSpBLcjNPop2q4MZXpyZU6Hs171BdfLt4LgqFh0WK2pnpk3awaEj+MnkLnp5G2M+e8iM7lysZzY2c+ZbxdIHhEgAmZOYP6ha1jgf51R8KxYEMs6VkmSytKjUZjlG8k+r1MuH9Z2SzpgKDbepkuCcf7OC6Z2ZgsbtKlaTGwzBNX35uMXVJzgp6VDrBy+gjpGwokAEUiSwODNZ7Hr3H32ubH5V/0uP0TvDZo0PMXzZMaxEXWIfDIEaP9NjwdHgAKA9BxIQoAWIEmwq1Lp5fsv0Wih5voqF/jjAoBitDO3n6P50hNMVZb0aXB5kocYqnnVIeRV5l1n72HwlnPMXquC2eA7WHmFUngFTsKIABHgncA0n6tYGRjN5Da3t8C8NpWS1LP+RAwm7LnMPncsmRtbessnf5THn4GIePia2begbSU0rWTBOzcpBX7++g1lxh7QMsF/WC2UzpdVSrNINxEgAgIS4Cu/KZcigUuVEN8KZs+I0DF1BbRc+aJp/638OeTDAwoA8kGRZBhMgBYgg5HRgCQInL39HM0SBOEypUuDq5PFCcJduvcSjRclyJ2XJjWuTeUnd56YE37g4gP03XiGqSyVLwuODOOnmAm9oRVzJkkXETBfAuN2XcQ/obcZgA6OxTC1mU2SQAwtGiI22dqzAxDz9B1Tu7xjFXhULCi2GYLq+/79O0qN8cH37xo1BwbVRPlC2QXVS8KJABGQjkDnNWEITJDfdExDK/RyNTy/qe4tnJyZ0+GcAm/hiDkTtP8Wk7Z8dVEAUL5zo2rLaAFS9fSK6tzJ6Kdok+Aabo5M6XB+gjjXcCMfvkaDP7WvH9+c3hCpUgl//ZhPyLqn9LjNF7cJ46Pp5knMly0DTikwTyIfLEgGESACwhEYtvU8dpy5yxT8VrMkxjayTlLh/gsP0H+T5sVH6XxZ4M/Tiw8+vKw+zR8PX31gotZ1q4ra5fLzIVpWMsqNO4CPX74xm3b3d4Zd0ZyyspGMIQJEgD8CrZeHICxGk990ctMK6ORkeH7Tc3de4NclwcywjOlSI2Ky8l7C80c2ZUm0/06ZkTn0oACgOcyyDH2kBUiGk6JQk6QMMEU/eQO3uce0yF2f6ol0aVIriubmsNv4Y6cmT1+lojmxqz8/efpO33qGFss0BUayZkiLSxP5KTCiKMhkLBEgAoIS6LfxNHwuPmQ6BrpZYmj9cknqDIh4jG7rTrHPC+fIiBOj5XN9rNKkg3jx7jOzb3Ov6qheKo+gDKUQbuvth1cfvjDVW3s7oVrJ3FKYQjqJABEQgUCTRcdx8d5Lpml2S1u0cihqsOarD17Bc0EQG8e9e4+epryX8AY7bsIA2n+bAE9FQykAqKLJVJIrtAApabbkbav/1UfosT6cGWmRMxOC/3ATxeg7z96h5iztCsRXJjVA5vRpRdHPlxIhc2HRFzS+ZonkEAEikByBbmvDEBD5hHUZ5WEFLrl8Uk33+piYp8f1mUndk3HcSxnu5YzamsOUw4h985G59U8PR7iUyas2N8kfIkAE/k+g3rxjuP74DeOxuL09GtsWNpjPzdi3qDPnqNa4yCkeyJA2jcGyzGUA7b/NZaaT95MCgPQcSEKAFiBJsKtS6U/56/JmwZHh/OSvSwnY41cfUG2av1a3c171kDNz+pSGyurzlYE3MM0ngtnkWjYf/u7OTzXMW0/fotZs7S9oEZM9kDEdfUGT1UNAxhABhRNosyIEJ29qrpV5N7FGV+eSSXp18e5LNFkszxyuXG68kqN9tGz3HVwTVgXVlxvPecYR3Hvxnvm6pqsD3KwKKPxpJPOJABFIioDLzCO4+1zzO/9XFwfULW/47/z9F+9RY8YRLTUXvOsje8Z0BD8JArT/pkeDI0ABQHoOJCFAC5Ak2FWpdPe5exi0WZoqs8/ffoL95ENaXMPG1kX+bBkVxXqR/3XMPXSN2VzfugBWdnbgxYfHrz+g2lTtIOmZ8fWQO4uygqS8wCAhRIAICEag6eLjOH9Xc61sVgtbtK6a9LWyqMdv4D5PnikcPnz+Cqvxvlqsjg6vjRJ5swjGTyrBbnOOIjr2LVO/rENleNoUksoc0ksEiIDABBymHELsm09My8aejnC2NPzU77O3n1BZBd/BBcatJZ7232LSlq8uCgDKd25UbRktQKqeXlGd063kaFskB/YMcBHFhjcfv6DiBD8tXdz1Y+4aspLaHL9ILA6IYiY3sSuMRe3seXEhMUbHR9VBkVyZeZFPQogAESACHAHda2UL29njF7ukr5U9ePkeTtO1T49wBaS4q8BStxfvPqHSJO2XS6Gj66JgDmW9XNKHo8efgYh4+Jp1XdC2EppWstBnKPUhAkRAgQQqePni7aevzPIdfWugSvFcBnvy7tMXWHtpfwcPGlkHRXPT98ukYNL+2+DHTJUDKACoymmVv1O0AMl/jpRi4T+htzBu1yVmrkPxXNjet4Yo5n/88hXlxin/lMbU/VewKugmY9ayShHMaWXHC8Ov376j9Bjtq2yHhriiTIFsvMgnIUSACBABjoDutbLVnR3gbp30tbKX7z7DbtJBLXhyCbI9fPkB1acrP72EPk/mL4uP40LCk5stbdHaiIIA+uiiPkSACEhLgEtvwH0n/PZdY4fPwJqwLmx4eoPEvl8eHuoKy/z0/ZICgNI+53LXTgFAuc+QSu2jAKBKJ1YCt9Ycv4lJ+64wzU6l8uDfXtVFsSSxPE0Hh7iirMKCW167L+HvkFuMWQfHYpjazIY3hlbjD+DD529MnlqT2fMGjAQRASJgMIEqkw/h6VvNtbJNPR1RI5lrZZ++fEPZcQe09PgPq4XS+bIarJvvATGxb1FbJ7m9WnOntlp+AqdinjOEk3+tiE7Vi/ONlOQRASIgAwKJvTgPGF4bJY1Mb1BmrA8+f9VEE/f97oKKFjlk4Kk8TaD9tzznRWyrKAAoNnHSF0eAFiB6EPgisOLYDUw/oClgUatsPqznqYCFPjaq4cvHqO0XsCX8DnO3u3NJeDWx1sd9vfpwOVq4XC3xbdNvjqhR2vB8L3opo05EgAiYJYHy433x/rPmWtnOfjVQuVjy18rkun5HPHwFjz+DtObx5vSGSJUqlermtsPqUARHPWV+jW9sjR4uSRdvUR0AcogImBGBl+8/w24ifyevuTQ8XKqZ+LajrxOqFM9tRkQNc5X234bxUmtvCgCqdWZl7hctQDKfIAWZp1vAop51AaziqYCFPhisvXzxLkEuk//61YB9CptOfeSK2Wfw5rPYde4+U9m3dmmM8rDizQTdKo/GVnzjzSASRASIgKoIGFs119bbD68+aDaPW3pVh2OpPJKzOXfnBX5dEszsyJA2NSKneEpulxAGdFsbhoDIJ0w097eH+xtEjQgQAfURePTqAxynaac3OO9VHzkyG5d7la+CIuojnbhHtP82l5lO3k8KANJzIAkBWoAkwa5KpXMPRmLREU0Bi0a2hbCkfWXRfOXeZHJvNOPb1t5OqFZSWW8f+2w4Dd/LD5kPg93LYLB7Wd4Y6ibn5wqMcIVGqBEBIkAE+CDw/tNXlPfSzsd6bERtFM+TfNVcp+n+ePDyAzNhbbeqqFMuPx8mmSQjNPop2q4MZTK4wiRcgRI1NqH//qiRGflEBJRKgO/0BrovmNd0dYCbVdK5X5XKjS+7af/NF0lly6EAoLLnT7HW0wKk2KmTneHTfa5iRWA0s6u5vQXmtakkmp1Vpx7Gk9cfmb5/ejjCpYyyrrcKfQKj6ZJgnL/zgjGa2cIGbaoWE22OSBERIALqJsClGOBSDSRsYWPrIn+25Kvmus09iugnb9mwpR0qo6FNIclhHY18jK5rTzE7CmTPgJNj3CW3SwgDBv57FnvOa06g96tdGiN5PIEuhM0kkwgQAeMIXH3wCp4LNOkNuKwG0dOMT28g1zXcODrCj6L9t/CMlaCBAoBKmCUV2kgLkAonVSKXvPdcxroTMUx726pFMaOFrWjW6L59XNu1KupYSX+CxBAA7VeF4sQNTQ4mr8bW6M5jDqZ2K0MREq2RP6GJNbo5U44nQ+aI+hIBIpA0gbvP38FlZoBWh4ve9ZEtY/LXyhovCsKle6/YuNktbdFKBhVofS89RJ9/TjO7iufJjGMj6qjyERi+7Ty2n77LfOvpUhLjGvOXg1aV0MgpIqBQAmduP0fzpSeY9ZnTp8GVSR5Ge8MFE7mgYnyb38YOzeyLGC1P7QNp/632GdbPPwoA6seJevFMgBYgnoGasbgx/13EppO3GYHOTsUxqWlF0YjUnh2AmKfvmL4VnaqgQYWCounnQ1GLZSdw+pamCuO0ZjZo78jfCb0e607BP+IxM3VEg3LoX8eSD9NJBhEgAkQAUY9fw31eoBaJqKmeSJsmdbJ0Wq8IQdjNZ6zPpKYV0NmphOREd5+7h0GbzzE7yhXIBr8hrpLbJYQBY/+7iI0J/oZzFYC5SsDUiAARUB+BE1GxaL/6JHMsT5b0OD2+ntGONlsajLO3NTdMpje3Qbtq/H1/NdowmQ6k/bdMJ0ZksygAKDJwUveDAC1A9CTwRUDq0wNqyG+newpmbis7tKjC3xvUAZvOYN+FB2zKB9SxxPAG5fh6BEgOESACZk7gwt0X+GWxpmhG+jSpcW1qykUzuq4Nw1EZFqDYcuo2Ru24yGbVrkgO7B7gospZnrj3MtYGa07xt3EoipktxTvFr0qo5BQRkCkB/6uP0GN9OLPOImcmBP/hZrS1ujdMvJtYoyvdMEmSJ+2/jX7UVDWQAoCqmk7lOEMLkHLmSu6WSp0/SOjgmRj8dYOYi9vbo7Etf0U6Rm4/j63hmite3Z1LwqsJXfESY25JBxEwBwIno5+ijRFFM/ptPA2fi5oCSAPdLDG0vvQvJ9afiMGEPZfZ1HGFpbgCU2ps0w9cxYpjmjy+zewtMF/EPL5qZEo+EQG5Eth/4QH6bzrDzLPMnxWHh9Yy2lzdlzh/eFqhTy2qIp4UUNp/G/2oqWogBQBVNZ3KcYYWIOXMldwtlbqCoO712anNKqKDY3G5Y9Oyz3VWAG4/01xjXtXZAfWs+auiJnWeRkVNBhlLBIiAwQQCIh+jW4KiGYVyZETI6LopypH6BHlSBq44dgPTD0Swj13L5sPf3aul6I8SO8w7dA0L/a8z0xvaFMTSDlWU6ArZTASIQAoEuHyf3Lob3ypaZMe+32sazU13DzDEvSwGuZcxWp7aB9L+W+0zrJ9/FADUjxP14pkALUA8AzVjcd3XncKRBPnlRnqUQ7/a4uWX67A6FMFRwhXQEGNqHacdxqNXmkrG3EaT23Dy1Wb5RmDp0RtM3C92hbGwnT1f4kkOESACZk7A5+ID9NuoOVVSKm8WHBleO0UqXrsv4e+QW6wflzuKyyEldVtw+DrmH77GzKhvXQArOztIbZYg+pcERGG2XyST7V4+P1Z3qSqILhJKBIiAtAQ2hN7C+F2XmBFVS+TCtj41jDZq0Oaz2H1OU0W8b+3SGEVVxJPkSftvox81VQ2kAKCqplM5ztACpJy5krulHVefxPGoWGbmuEbl0bNmKdHM1g1Acl88uC8gSmqVJh3Ei3efmclbelWHY6k8vLmw+Mh1zDmo2cy6ly+A1V3UuZnlDRoJIgJEQG8CO07fxbAEp0oqFM6O/QNTPlUy40AElh/TvJz4tVJh/NlW+pcTM30jsMxMXpqsCozGVJ+rbK5rlsmLDT0c9Z576kgEiIByCPD9+z5q+wVsCb/DAHRzLoEJTSooB4jIltL+W2TgMlVHAUCZTozazaIFSO0zLJ5/rZeHICxGU8VxctMK6CRiFce+/5zGgUuaHFKD3ctgsHtZ8QDwoKn8eF+8//yVSdrV3xmViubkQfIPEX8dv4nJ+64wec6WebCxZ3Xe5JMgIkAEzJuA7qkSh+K5sL1vyqdKuKun3BXU+MalPuBSIEjddAtjtHYoglkt7aQ2SxD9f4fEwGu3eeQ7FAQgCSUCCiKgu+aaerpZ9xR3e8dimNZM+lPccp0S2n/LdWbEtYsCgOLyJm3/J0ALED0KfBFouiQY5++8YOJmtrBBm6rF+BKfopzBm89iV4LrB1zyYS4JsVLa9+/fUWqMD75/11h8YFBNlC+UnTcX/g27jdE7NRUt7YvlxH/9nHmTT4KIABEwbwLGnipZHRSNKfs1p89cLPPin57Snz7j1ktu3YxvnZ2KY1LTiqqc5M1ht/FHgr8P3Msn7iUUNSJABNRHQPd0c9NKhbHAhFPX03yuYmWgpohQ88oWmNe6kvrA8eQR7b95AqlwMRQAVPgEKtV8WoCUOnPys9tzQRCuPnjFDJvfxg7N7IuIZugfOy5g8ynlXj/49OUbyo47oMXryLBaKJUvK28Md5+7h0GbzzF55Qpkg98QV97kkyAiQATMm4CxOfM2nbyNMf9pXk5ULpYTO2XwcmLolnPYefYem9RerqUwpmF5VU7yzjN3MXSrpiiAdaHs8BmU8vVtVcIgp4iAygnonm5uW7UoZrSwNdrruQcjsehIFBvfyLYQlrSvbLQ8tQ+k/bfaZ1g//ygAqB8n6sUzAVqAeAZqxuLc5x1D1OM3jAD3h5/7AiBWm7D7EtYnSCKvtOsHrz98ho33QS1cJ/5wQ+GcmXhDeOjKI/z2dziTVzR3JgSNdONNPgkiAkTAvAkYm8tv19l7GLxF83LCqmA2+A6W/uVEv42n4XNRk1pioJslhtYvp8pJ3n/hAfpv0hRwKZ0vC/yHpVzARZUwyCkioHICo3dewL9hmpfmXWuUgPcvxufsoyJChj0wtP82jJdae1MAUK0zK3O/aAGS+QQpyDzXWQG4/ewds3hlpyqoX6GgaB4o/fpB7JuPcJhyWIvX6XHuyJM1A28Mg6Ni0WH1SSYvb9b0CB9Xjzf5JIgIEAHzJqD7Ikbfar4HLz9Erw2nZfdyQre41IgG5dC/jnjV7cV8mugFkZi0SRcRkJYA32lzdNM4UBGh5OeX9t/SPv9y0U4BQLnMhJnZQQuQmU24gO5Wn+aPh68+MA3rulVF7XL5BdSoLXrewUgsVPD1g3sv3sN5xhEtpy5NbICsGdLyxvDM7edovvQEk5c5fRpcmeTBm3wSRASIgHkTGLn9PLaG32UQujuXhFcT6xShHL8ei45/JXw5kQHh49xTHCd0h/arQnHixlOmZnxja/RwKSm0WknkH7v2BF3WhDHdBbJnwMkx0s+BJDBIKRFQOYHeG8Lhd/kR83KIe1kMci9jtNe6BaCqlsiFbX1SLgBltEKFD6T9t8InkCfzKQDIE0gSYxgBWoAM40W9kyZQefIhPHv7iXXY9JsjapTOKxqyn68fFMDqLtJXkdQXQPSTN3Cbe0yr+/WpnkiXJrW+IlLsF/nwNRr8Gcj6pUoF3JjaEKlTp0pxLHUgAkSACKREYMCmM9h34QHrNqCOJYY3SPnK7Olbz9BiWQgbx7344F6ASN2aLw3Gmdua4lZTm1VEB8fiUpsliP7Q6KdouzKUyc6ZOR3OedUXRBcJJQJEQFoCndeEIfDaE2bEmIZW6OVa2mijtoXfwYjtF9h42yI5sGeAi9Hy1D6Q9t9qn2H9/KMAoH6cqBfPBGgB4hmoGYurOMEPbz5+YQR29HVCleK5RSOi9OsHXAEVrpBKfONicjemNUQqLkrHU7vz7B1qzgrQknZlUgNkTs/fKUOeTCUxRIAIKJBAj3Wn4B/xmFmu75XZy/dfotHC42xcmtSpEDXVk9f1zxicDRcE4UqC4lZzW9mhRRXxilsZY7OxY+iEuLHkaBwRUB6B1stDEBbzjBk+uWkFdHIqYbQje87fx8B/z7LxZQtkxcEhtYyWp/aBtP9W+wzr5x8FAPXjRL14JkALEM9AzVhcmbE++Pz1OyOw73cXVLTIIRqRDSExGL/7MtNXrURubO3jJJp+UxWdu/MCvy4JZmIypUuDq5P5vZ6bWJ5B7ppdXh7zDJrKgcYTASKgXAK6V2a9Glujux5XZm/GvkWdOUe1HI+c4oEMadNICsNt7lFEP3nLbBC7uJWYzl+69xKNF2mCsGm5IOy0hmKaQLqIABEQicAvi4/jwt2XTNvslrZo5VDUaO26eVyL5c6MwJF1jJan9oG0/1b7DOvnHwUA9eNEvXgmQAsQz0DNVNzXb99ReoyPlveHh7rCMn820YhsDb+DkQmuH9gVyYHdCrp+cDL6KdoIfP3q3acvsPby05qToJF1UDR3ZtHmiRQRASKgXgLcSwzuZUZ8m97cBlwhkJTaw5cfUH26v1a38171kSNzupSGCvo5l5eVy88a3/7q4oC65QsIqlMq4VGPX8N9niZFBGcHdwqdO41JjQgQAXURqDfvGK4/fsOcWtTOHk3sChvtJOUQNQwd7b8N46XW3hQAVOvMytwvWoBkPkEKMe/txy+oMEHawNLuc/cwaPM5RsyqYDb4DnZVCEFAjC9P3759RymdQK3fYFeUKyheoFYxE0KGEgEiYDABjz8DEfHwNRu3oG0lNK1kkaKcl+8+w27SQa1+oaPromCOjCmOFbJDlcmH8DRBbtuNPR3hbCleblshfdOVffvpO7jO1k4RcXWSBzKll/YUppgMSBcRMBcCLjOP4O5zzcuN1Z0d4G5t/MsN3ZfYOTKlw/kJlEM0qeeJ9t/m8puWvJ8UAKTnQBICtABJgl11SrniH1wRkIQtbGxd5M8m3ubN99JD9PnnNDOhRJ7MODpCOdcPxLo+Ye3li3efvjJOO/vVQOViuVT3TJJDRIAIiE/AdVYAbj97xxSv6FQFDSoUTNGQj1++otw4X61+AcNro2TeLCmOFbJDBS9fvE2wXu7oWwNViqtzvZTrKUwh55dkEwFzJeAw5RBi32gK95n6ckM3jU3GdKkRMdnTXPGm6Dftv1NEZBYdKABoFtMsPydpAZLfnCjRovsv3qPGjCNapl/wro/sGcW7vnU08jG6rj3FbCiUIyNCRtdVDM695+/jdxESKPP9pU8xgMlQIkAEBCdQdephPHn9kenZ0KMaapbJl6Le79+/w3LsAXDpJOLb/oEuqFBYvDyyiRnJpbaQm00pwjSyw/O3n2Cv+yJvTF3kzy7eizwjTadhRIAIGEiA75cbEQ9fweNPTSE7zpyb0/ktZGegi7LuTvtvWU+PaMZRAFA01KQoIQFagOh54INA9JM3cJt7TEvUtSmeSJ82NR/i9ZIRcuMp2q0KZX1zZ0mPM+Pr6TVWDp22n76L4dvOM1NsLHJg7+8uvJtWc9YR3HmmufaxqrMD6plw7YN3A0kgESACiiVgSjV4U8YKAezz128oM/aAlmj/YbVQOl9WIdRJLlMOqTwkh0AGEAEzIMC9cOFebiR43wKfgTVhXTi70d7HxL5FbRkWcjLaIYEH0v5bYMAKEU8BQIVMlNrMpAVIbTMqjT9X7r9Cw4WaN39cznAueXiqVOIlDz9z+zmaLz3BAGROnwZXJvFbRVdIuhtP3sLY/y4xFQ7Fc2F73xq8q2wwPxCRjwzP0cW7ISSQCBABVREw9RSfw5TD4CqVx7d/ejjCpYx0+fZef/gMG2/tvITBf7jBImcmVc1bvDPmFvBU5SSSU0RADwKfvnxD2XHaLzdMTbnw4OV7OE3XvgnE5QDkcgFS+5kA7b/pqeAIUACQngNJCNACJAl21SmVQ/Dt8v2XaLTwOGPLVS7kgpBKaWuO38SkfVeYuc6WebCxZ3Xezdet0jmjuQ3a6lGlk3dDSCARIAKqImBqHj/d/IFSn07mrjJzV5oTttPj3JEnawZVzVu8M0KcClIlKHKKCCicwMv3n2EhDOFFAAAgAElEQVQ3UfvlRshoNxTKYfzLDUohYNhDQftvw3iptbcqAoC3bt3CwoULsX//fty5cwcZMmRA6dKl0bp1a/Tv3x+ZM2fmZf4OHDiAlStX4tSpU3jy5Any5cuHqlWrolevXvD0TD7h6MePH3H27Nm4sWFhYXH/Xb9+HdwXH67F/29Khj5+/JiN52Rx/z19+jRuWJcuXbBu3bqURGh9bopPBinS6UwLkCn0aGw8gRM3YtF+1UkGRIrrtzeevEFdnWvIUVM9kTaNeNeQTXkilh29gZm+EUyEm1V+rOla1RSRiY7tsDoUwVE/1iqujW9sjR4uJXnXQwKJABEwLwIv3n1CpUnaxaAMqeQrt9PJd569Q81Z2lVxL09sgCwZ0qp2Yq3GH8CHz9+Yf7v6O6NS0Zyq9ZccIwLmSODRqw9wnOav5fo5r3rImTm90TjeffoCay8/rfFBI+ugaG5+9v5GGybTgbT/lunEiGyW4gOAe/fuRceOHfHq1atE0ZUtWzYuMGhpaWk02m/fvsUF+f76668kZfTs2RMrVqxA6tSJb/q7deuWbHBO3wBgclcbDQkA8uGT0UAB0AJkCj0aG08gIOIxuq3TFOAonCMjTohcgOPu83dwmanczdqfh6/hz8PX2UPlWbEglnWswvtD1nN9OA5ffcTkDq9fFgPcyvCuhwQSASJgXgRMvQLWdEkwzt95waDNbGGDNlWLSQYx6vFruM8L1NLPnSrnTpertdl6++HVhy/Mva29nVCtZG61ukt+EQGzJJBYvr6IyR7ImC6N0Ty4YklcXsGE7dAQV5QpkM1omWoeSPtvNc+u/r4pOgDInahzdnbG+/fvkTVrVowePRp16tSJ+/fmzZuxatWqOBJcEDA8PBzZshm3GHByZ8yYESfL3t4eI0eOjDtheOPGDcyaNSvuZB/XuH7Tpk1LlH7Xrl2xfv36uM84OypXrozIyEg8fPgw7mfGBACLFSsGKysrHDz44zi1IQFAPnzS/zH7uSctQKbQo7HxBHwvPUCff84wICXzZgGXT0TMpvTrWtzpP+4UYHz7tVJh/NnWnneEA/89iz3n7zO5/WqXxkgPK971kEAiQATMi0Bip7ANKQbVdmUIQqOfMWjeTazR1Vm608mX7r1E40WatBLp0qTC9anKSSthzNNnbBVnY3TRGCJABKQhcPXBK3gu0OTt5tJ1R/OQt7vMWB98/qqp5L7vdxdUtJC2krs0hFPWSvvvlBmZQw9FBwBdXV0RFBSEtGnTIjAwEE5OTlpzNnv27LhgHdcmTJgAb29vg+f02rVrqFChAr58+QIHB4c4PZkyaXIVvHv3DrVq1YoLMHJ2XL16NdHThlu2bIkLTHJXhsuXLx93UrB27do4duxHBVN9A4CcH5wM7r8CBQogJiYGJUv++KKqbwCQL58MhplgAC1AptCjsfEEdp29h8FbzjEgVgWzwXewq6iAEkvYfuIPNxRWSML2iXsvY21wDGPWxqEoZra05Z3hHzsuYPOpO0xu1xol4P1LBd71kEAiQATMi4BuwCxt6lSIMiAPa/d1p3Ak4jGDNtKjHPrVNv7WiKn0w2OeoeXyECYmW4a0uDixgaliZT3eecYR3HuhqRL/VxcH1C1fQNY2k3FEgAgYRkCovN02E/zw+qPmBPH2Pk5wKEEniBObHdp/G/bMqrW3YgOAXA49R0fHuHnp3bs3li9f/tMccddcK1asGBeUy5kzJ7j8eenSGVYVqF+/fli2bFmc7JCQEFSv/nNy/NDQUBZ85PovWbJEr+fFmACgrmBjAoBC+qSX43QFWF9M1C8FApvDbuOPnRdZLy5nEJc7SMwmRFUzMe0f899FbDp5m6ns7FQck5pW5N2ESXuvYE3wTSZXqEAj74aTQCJABGRN4FTMM7RKGDDLmBYXvfUPmPXfeAb7Lz5gPg50s8TQ+uUk8/n49Vh0/EuT2zZv1gwIH+cumT1iKHabcxTRsW+ZqmUdKsPTppAYqkkHESACIhHQzdudJ0t6nB5fz2TtDlMOIfbNJyZnY09HOFtKV8ndZIcEFEABQAHhKki0YgOAY8aMwfTp0+NQcwG4+GCgLnvu6i533ZVrfn5+qF+/vt7Tw53KK1KkCO7fvx931ZYLJCbVuM+5K70WFhZxhUiSy9UXL0OKAKDQPukLlxYgfUlRv+QIrAu+Ce+9mgq21UvlxuZe2ieBhSbI/U6VGuOD/9fziVN3YFBNlC+UXWjVvMgftvU8dpy5y2T1ci2FMQ3L8yI7oZA5fpFYHBDFftTYthAWt6/Mux4SSASIgHkRCLz2BJ3XhDGn82fLgLCx+gfMdNfA32qWxNhG1pJBPHzlEXr+Hc70F8mVCcdHuUlmjxiKPf4MRMTD10zVn20q4Vd7CzFUkw4iQAREInAk4hG6r9OsbRY5MyH4D9PXNjpBrP8E0v5bf1Zq7qnYAGD89d8sWbLgxYsXcddvE2vcqb0aNWrEfeTl5YWJEyfqPZ/R0dFxuf64ltQpw3hh3OdchWCucePir+Ump0yKAKDQPukLlxYgfUlRv+QILD92AzMOaCrY1i6XD+u6VRMdWvnxvnj/+SvTq6QKhgM2ncG+C5rTL7+7WWKYAKdflgREYbZfJGNU1yo//hKg2rDok08KiQARkJSA3+WH6L3hNLOheJ7MODaijt42jdt1Ef+Eak5Bd6xeDFN+tdF7PN8d9124jwGbfuSW5ppl/qw4PLQW32pkJa/p4uM4f/cls2lWC1u0rlpUVjaSMUSACJhGYP+FB+i/SZO3u3S+LPAfZnre7rpzj+LGE80J4qUdKqMhnSBOdLJo/23aM6yW0YoNAObLlw+xsbGws7PDuXOaHGC6E/P8+XPkzv0jD0CrVq2wdetWvedu3759aNKkSVz/+fPnY/DgwUmO5T4fOnRo3Odc1eGGDVNO2CxFAFBon/SFSwuQvqSoX3IEdCvYelQoiOWd+K9gm9IsVJp0EC/efWbdtvSqDsdSeVIaJovPf/s7HIeuCF+dd23wTUxMcFrTqVQe/Nvr55QKsoBCRhABIqAYArvP3cOgzcbngp3mcxUrA6OZv80rW2Be60qS+b/99F0M33ae6a9okR37fq8pmT1iKG61/AROxTxnqib/WhGdqhcXQzXpIAJEQCQCQq1tDRcE4cqDV8yLea3t0LxyEZG8UpYa2n8ra76EslaRAcAPHz6wQhyNGjUCF9RKrnEVgt++fRuXv487Eahv4/IK9u3bN677tm3b0LJlyySHbt++PS7AyDVuHHciMKUmRQBQaJ/ifeYWmOTagwcPUK3aj5Na3JVp7qo1NSJgKAGxKtimZJfjtMN49Ooj67a+ezXUKpsvpWGy+Jy7OsddoYtvYxuWx2+upXi3bcup2xi1Q5Ov0a5oTuwWOV8j706RQCJABCQnYOraMu/QNSz0v878aGhTEEs7iP8iKd6Af0JvYdyuS8weh+K5sL3vj5ssam0dV5/E8ahY5t64RuXRsyb/f4fUyo/8IgJKILAh9BbGJ1jbqpbIhW19TF/bmi8NxpnbLxiCac1s0N6xmBKQiG4jBQBFRy5LhYoMAD558gT58+ePA9qmTRts3rw5WbhctVyuAAhXEOTiRc0GNKUZSVhF+MCBA/Dw8EhyCPd5/Km/OXPmYNiwYSmJN6oKsK5QQ4uACO1TvH365ECM70sBwBQfFeqQBAGxKtimNAGuswJw+9k71m1lpyqoX6FgSsNk8XmbFSE4efMZs2VS0wro7FSCd9v2nr+P3//VXGsrkz8rDqn8WhvvEEkgESACPxEwNRfssqM3wL1Mim91yuXDWglSScTrXx0UjSn7NTmnXSzz4p+eP4reqbXJrRKzWjmTX0RASgKrAqMx1UezttUskxcbepi+trVbGYqQ6KfMtQlNrNHNuaSUrspWNwUAZTs1ohqmyAAgFzAqVuxHZL9Tp074+++/k4XG9eXGcPn8oqI0SehTIj158uS4vIFc8/f3h5tb0olKjxw5grp168b15caNGzcuJfGSBACF9ineaQoApjj91IEHAqN3XsS/YZrcTV2cimOiABVsUzK1/vxjuPboDeu2qJ09mtgVTmmYLD7/dUkwzt3RvDmd2cIGbary/+bU/+oj9FjPf/JnWUAkI4gAEZCMgKm5YNefiMGEPZeZ/VIUk0oITzdfqnv5/FjdpapkfMVQ3GfDafhefshUDXYvg8HuZcVQTTqIABEQicAi/+uYe+ga01bfugBWdnYwWXu3tWEIiNTcZBnlYYW+tX/k8KemTYACgPREcAQUGQCkE4Cah1euJwDpCjAtMGIQGLrlHHaevcdU9XYthdECVLBNyZcmi47j4j1NAvM5rezQsooyrrV7LgjC1QS5U4SqvnjiRizarzrJUObOkh5nxtdLCS19TgSIABFIlsD8Q9ewIMEVXs+KBbGso/5XeLeeuoOROy4wHXZFcmD3ABfJqM89GIlFRzQvqxvZFsISlVdMH7T5LHafu8+Yc5t3bhNPjQgQAfUQmOUbgaVHbzCHfrErjIXt7E12kF4g6I+QAoD6s1JzT0UGACkHoPEBQLFyAKb0S0MLUEqE6HN9CPTbeBo+FzWnBgbWLYOh9cQ/NdBy2QmE39IkMJ/ya0V0VEgCc7c5RxEdq6metqxDZXgKUD2NO2XInTaMbxnTpUbEZE99ppn6EAEiQASSJDD9wFWsOKYp4tHM3gLz2+hfxGPP+fsYmCA9QdkCWXFwiHRVd6fuv4JVQTeZvy0qF8Hc1naqfgJGbDuPbac1uaN7uJTE+MbWqvaZnCMC5kZAqLQ9gzefxa4ELxD61CqNPzzpBUJizxftv83tty5xfxUZAORcyZs3L54+fUpVgGNiULLkjzwHXbp0wbp165J9sqkKMP3iq4mAXPIG6SYw5zYu3AZGCc15xhHce/GembqmqwPcrArwbvq1R69Rf36gltwb0xoiTepUvOsigUSACJgPgQm7L2F9yC3mcLtqxTC9uY3eALgq6Fw19PhWNHcmBI1MOuWL3oKN7MglyeeS5ce3Do7FMLWZ/v4YqVbSYWP/u4iNJzXpPLgKwFwlYGpEgAioh8DonRfwb9gd5lDXGiXg/UsFkx0ctf0CtoRr5HZzLoEJTUyXa7JhMhRAAUAZTooEJik2AOjq6oqgoCBkyZIFL168QNq0aRPFx1X9rVHjR4UhLp/fxIkT9cYcHR0dlzeQa1xVX+70XFKN+3zlypVxH3Pj4oNyySmTogqw0D7pC5cWIH1JUb/kCLRfFYoTNzSJf70aW6O7BIG3HutOwT/iMTN1pEc59KttqYjJc5hyCLFvPjFbN/V0RA3LvLzbfvf5O7jMDNCSe2liA2TNkPjazbsBJJAIEAFVEjB18xccFYsOqzXpCfJmzYDwce6SsTLH03CT9l7BmmDNqcfWDkUwq6W6Tz1K9oCRYiIgEQGhTuqZ+hJIIhySqKX9tyTYZadUsQHAMWPGYPr06XFAQ0ND4eiYeBWhGTNmYPTo0XH9/Pz8UL9+fb0n4fv37yhSpAju378PKysrXL2qqVykK6R8+fKIiIiAhYVFXMERfYpgSBEAFNonfeHSAqQvKeqXHIEWy07gdIKrt9Oa2aC9I/8FLFKaBblcRU7JzsQ+t5ngh9cfv7CPdvR1QpXiuY0RleyYZ28/ofLkQ1p9wsbWRf5sGXnXRQKJABEwHwLc9V3uGm9861e7NEYakD+O+xvC/S2Jb1nSp8HlSR6SAeSqpXNV0+Nb/zqlMaKBuq+zzTgQAa6YS3z7tVJh/NnW9Nxgkk0iKRaNwMt3n7Hr3D3ky5YBXP5PffZfohlHirQI9N4QDr/Lj9jPhriXxSD3MiZTmu5zFSsCNWkgmle2wLzW+qeBMNkABQmg/beCJktAUxUbAAwLC2NBv6RO53379g0VK1aMC9zlzJkTjx8/Rrp06QzC2a9fPyxbtixuDHeasHr16j+N5wKQTk5OcT/n+i9ZskQvHVIEAONtFMonvRwHQAuQvqSoX3IEGi0MwuX7r1iXea3t0Lyy+MU3hmw5h/8SFiOpVQqjPcsrYvLKjj2AT1+/MVv3/e6CihY5eLf9w+evsBrvqyX32IjaKJ4nC++6SCARIALmQ4C7vstd441vw+qVxe919d9UXrn/Cg0XBrHxXFYCLj2BVIEEU/1R4szPO3QNCxMUcmloUxBLO+hfyEWJPpPNphPg0pdwOZgfvPwQJ2xAHUsMb1DOdMEkQRACXdaE4dg1TbXeMQ2t0MvV9Gq98w5GYmHCwkk2hbCkQ2VBfFC6UNp/K30G+bFfsQFAzv34a8Dc9d/AwEAWhItHM3v2bIwcOTLunxMmTIC3t7cWtaNHj6JOnTpxP0sqf961a9dgbW2Nr1+/wsHBIU5PpkyZmJz379/H2REeHh53DfnKlSsoU0a/L55SBQCF9Enfx5IWIH1JUb/kCNSdexQ3nmgKWHCVErmKiWI3ofKaCO3Ht2/fUWqMj5aaQ0NcUaZANt5Vc6ePOV3fv2tEHxhUE+ULZeddFwkkAkTAfAh0+uskgq7HMofHNiyP31xL6Q3gZuxb1JlzVKt/5BQPZEibRm8ZfHY01R8+bRFL1pKAKMz2i2Tq6lrlx19dq4qlnvQokMDrD5/RfOkJXH/8hlmfO0t6nB7nLlnwXoEYRTW59YoQhN18xnRObloBnZxKmGwDrR/6I6T9t/6s1NxT0QHAs2fPwtnZGVwQLmvWrOCuBXMBPe7fmzdvZjn5ypYtGxegy5ZNe1OrTwCQm3zuCjF3lZhr9vb2GDVqVFxuwBs3bmDmzJng7IjvN23atESfl4cPH8LXV/v0CyczMvLHF561a9dqjXNxcYGl5c85xI4fP46oqCjWNzY2FiNGjIj7N8eiZ8+eWnK6du2aqD18+GTKLwYtQKbQo7HxBHQLWPzVxQF1y/NfwCIl4t57LmPdiRjWrV21opje3DalYZJ/ntipvMARdVAsT2ZBbKvg5Yu3n74y2Tv61kCV4rkE0UVCiQARMA8CrZafwKkYTRV2rngEV0RC3/bo1Qc4TvPX6n7Oqx5yZk6vrwhe+7VeHoKwGP43ybwaybOw1UHRmLJfk2anZpm82NAj8dQ+PKsmcQokwL1Q5IrABURqTpPFu0GpReQ7ob8sPo4Ld18yA2e1tEVrh6ImG6y7frhY5sU/PWn9SAws7b9NftxUIUDRAUBuBvbu3YuOHTvi1SvNNcCEM8MF//bv359oME3fACB3lfi3337DmjVrkpz0Hj16xAUcU6dOnWifhLr0eXK4gGBiwTvuZ+vXr9dHRFwf7o9kYo0Pn/Q2IpGOtACZQo/GxhPQLWCxsacjnAUoYJES8Z/yj9hbYF4b+ecf4XLn2E06qOXeyTF1USC7MHn5qk49jCevPzJ9G3pUQ80y+VLCS58TASJABJIk0GTRcVy8p9lUzm5pi1YGbCpfvv8Mu4na62DIaDcUyqG57SEmfqE2yWL6YKiuv0Ni4LX7MhtWrWRubO39I7UONSKgS+DEjVi0X6Up3JPw8396OMKlDP+FzGgWTCdQb94xrRObi9rZo4ldYZMF/xN6C+N2XWJyHIrnwva+PwqAUtMmQPtveiI4AooPAHJO3Lp1CwsWLIgL9HEPdvr06eMCfq1atcKAAQOQOXPip1n0DQDGPyo+Pj5xQb5Tp06BO3mXN29eVK1aNa5CsKenZ7JPlNwCgHz4ZMqvEC1AptCjsfEEKk7wwxsRClikRFw3f1EjheQfefzqA6qJePKl1uwA3Hr6juFc0akKGlQomBJe+pwIEAEikCQB93nHEJXgGuDi9vZobKv/pvLTl28oO+6Alvwjw2qhVL6sklCvP/8Yrj3SXGtc2M4ev/CwSZbEGT2Vbjl1G6N2XGS97YrmxO7+znqOpm7mRmCR/3XMPXQtUbfHN7ZGD5eS5oZEEf66zDyCu8/fM1tXd3aAu7Xpt3a2hd/BiO0XmFwbixzY+7uLIpiIbSTtv8UmLk99qggAyhMtWZUcAVqA6Pngg4DlGB98+aY55SpUAYuUbNXNP+JePj9Wd5F//qLbT9/BdXaAlntXJ3kgU3phcl95LgjC1Qea09rz29ihmb34RVtSmk/6nAgQAeUQ4GNTqfu3ZP9AF1QozH8xJH2ous4KwO1nmhclKztVQX2Vvyj57+xdDNlynuHhcsNyOWKpEYHECAzfdh7bT99NFE4bh6KY2VL+KVjMcWaFurXDVU3nqqfHtzL5s+LQ0FrmiDhFn2n/nSIis+hAAUCzmGb5OUkLkPzmRGkWffn6DZZjtU9tHB5aC5b5xT+1odT8I9cfvUa9+YFaU89Vv0zDlcEUoHHV+sJvaXJ1Tfm1IjoakKtLAJNIJBEgAgonwMem0maCH14nOE2+vY8THErkloSMbqoEc7jSuP/CA/TfdIbxLp0vC/yH1ZaEPymVPwHdPJkJLa5UNCd20elRWU7iz7d2+MkDffDyQ/TacJr5XCx3ZgSO/FHkk5o2Adp/0xPBEaAAID0HkhCgBUgS7KpS+vbjF1SY4Kfl0/FRdVAklzAFLJKDp5t/pGqJXNjWR/75Ry7de4nGi44z19KlSYXrUxsK9px0XhOGwGuapN1jGlqhl2tpwfSRYCJABNRPgI9UEHLKT8qHP0qb9cNXHqHn3+HM7CK5MuH4KDeluUH2ikSg+jR/PHz1IVFtWdKnwaWJDagSsEhzoa8aLic999L+a4JbOz4Da8K6cHZ9RSTZj/teyX2/jG/5s2VA2Fh3k+WqUQDtv9U4q4b7RAFAw5nRCB4I0ALEA0QzF/H0zUdUmXJYi8Kpse7Ily2D6GR084/YFsmBPQPkn3/k9K1naLEshPHKliEtLk5sIBi/fhtPw+fiQyZ/YN0yGFqvrGD6SDARIALqJ1B6jI/WptKY67tyuXab2CbZGH+UNuu0gVfajEln74fPX2E13jdZA6R6GSwdFflrFjLXatjNZ2i9QvNdNkemdDg/ob78oUhgIe2/JYAuQ5UUAJThpJiDSbQAmcMsC+vjvRfv4TzjiJaSi971kS1jOmEVJyJ9z/n7GJgg/0jZAllxcIj884+ciIpF+9WaSnp5s6ZH+Lh6gvHTzdvT06UkxjW2FkwfCSYCREDdBD5//YYyOqkg/IfVQmkDC3h4/BmIiIevGawFbSuhaSUL0eEJuUkW3RkDFIZGP0XblaFsRM7M6XDOizbwBiA0m65Rj1/DfZ526pK0qVNp5YNe09UBblamF5cwG6giOCpktfXzd16g6ZJg5kWGtKkROSX54pwiuCxLFbT/luW0iG4UBQBFR04KOQK0ANFzYCqBG0/eoO7cY1pirk/1RLo0qU0VbfB4v8sP0TtB/pHieTLj2Aj55x8JiHiMbutOMX8tcmZC8B/CXbvy3nMZ607EMH3tqhXD9OY2BvOmAUSACBABjsCrD59h631QC8aJP9xQOGcmgwD9uiQY5+68YGNmNLdB22rFDJLBR2chN8l82CeUjLO3n6PZ0hNMfKZ0aXB1sodQ6kiuggn4X32EHus118W5F5cl8mTRyi88ysMKfWtTehE5TfOjVx/gOM1fy6Sz4+shV5b0JpsZ+fA1GvypHRS+Ob0hXQNPhCztv01+3FQhgAKAqphG5TlBC5Dy5kxuFl++/xKNFmry13GFK7gCFlK0Y9eeoEuC/CMFs2dE6Ji6UphikE7fSw/Q5x9N4vVSebPgyHDhEq/P8o3A0qM3mI2/2BXGwnb2BtlMnYkAESAC8QQev/qAajxsKtutDEVI9FMGdkITa3RzLik66MQ2yee86iFnZtM3yaI7Y4BCOf09N8Bs6ioBgTXHb2LSvitMc+ViOWFVKDs2nbzNftbM3gLz21SSwDpSmRSBmNi3qD3nqNbHEZM9kDFdGpOhCSnbZONkJoD23zKbEInMoQCgRODNXS0tQOb+BJju/5nbz9E8wYkBLvHz5UnSnBhQ6vWl3efuYdDmc2wyrApmg+9gV9MnJwkJSwKiMNsvkn3qXj4/VnepKpg+EkwEiIC6Cdx++g6uswO0nLw6yQOZ0hu2qey+7hSORDxmckZ6lEO/2paiw0tsIxs5xQMZ0hrmj+iGm6gwsWudUVM9kVaCE/0mukLDBSage5Pg10qFYV8sFybsucw0WxfKDp9BNQW2hMQbQuDK/VdouDCIDUmdCnEv7VOlSmWImET7Pnz5AdWna58uPO9VHzkyi58SyGRnBBZA+2+BAStEPAUAFTJRajOTFiC1zaj4/py4EYv2qzT56/JkSY/T44XLX5ech0q9vrT11B2M3HGBuWZXNCd293cWbDLXBd+E917Nm/vqpXJjcy8nwfSRYCJABNRNILGrX9HTGiI1t7s0oPXfdAb7LzxgIwa6WWJo/XIGSOCn69UHr+C5QJhNMj8WCiPlzrN3qDlLO5B7ZVIDZE6fVhiFJFWxBHSD9VwxMadSedBulSaHZPq0qcG9COBuhlCTB4HTt56jxTLNNX8+X9o/f/sJ9pMPaTkaNqYu8mfPKA/nZWQF7b9lNBkSmkIBQAnhm7NqWoDMefb58V3s/HXJWa3UTdvfITHw2q15a16tZG5s7S1cQG5r+B2M3K4JOCqlWjI/TyxJIQJEgG8CfCV/l0uBIjmdbOd7rpKTZ65Xn8VkrBZd7vOOIerxG+bO3FZ2cCmT96f8cqfGuiNftgxqcVvxfhy/HouOfyUsOpcB4ePcefHr/aevKO+lXRk6cEQdFMuTmRf5ahJC+281zabxvlAA0Hh2NNIEArQAmQCPhsYROHDxAfpuFC9/XXLYo5+8gZtMCpIY8nisCozGVJ+rbEjNMnmxoYejISIM6sudsOFO2sS30vmywH+YcDkHDTKOOhMBIqA4AnylXxi/6xI2hN5i/ndwLIapzcQvUBQcFYsOIlZml8uE0wkeucyEvO349u07rLx8wVXLjm/b+jihUtGcP1UD9xvsinIFs8nbITOy7tCVR/jtb03xlqK5MyFoJD9F57jnotQYHy2ah4a4or1JS8UAACAASURBVEwBmn/dR4z232b0S5eMqxQApOdAEgK0AEmCXVVK/zt7F0O2nGc+lS+UHQckyvly78V7OM84osX3ond9ZMso7/wji49cx5yD15jd7uULYHUXB8Gek6ORj9F1rabqsFKKpQgGhAQTASJgEgG+1pTpPlexIjCa2dK8sgXmtRa/iMDhK4/QM8EmuUiuTDg+ip9NskmgBR787tMXWHv5aWkJGlkHRXPTCR6B0StK/IOX7+E0Xfu7VvxVT1tvP7z68IX58+9v1eFUOo+i/FOzsbo5p8sWyIqDQ2rx5nLZsQfw6asmMLx3gAtsiuTgTb5aBNH+Wy0zaZofFAA0jR+NNpIALUBGgqNhmi93YbcxeudF9m/7YjnxXz/h8tclhz72zUc4TDms1YW72pA3q7yvn8w9GIlFR6KY3Y1tC2Fx+8qCPWWnYp6h1fIQJj9bxrS46N1AMH0kmAgQAXUT0K1kXjJvFgQYUcl8/qFrWOB/ncFqaFMQSztUER3e3vP38fu/Z5neMvmz4tBQ/jbJojukp8IvX7/BcuwBrd6Hh9aCZf6sekqgbuZA4GT0U7RZqcn1lzHdj1x/XCGJ2rMDEPP0HcOwpH1lNLItZA5YFOHjllO3MWqH5js73zmnbbz98DpBAHh7Hyc4lMitCDZiGkn7bzFpy1cXBQDlOzeqtowWIFVPryjOrQ2+iYkJCkpwSaD/7VVdFN26St58/IKKE7RPLwT/4QaLnJkksUdfpdN8rmJlglMvLSoXwdzWdvoON7jf5fsv0WjhcTaOzypwBhtDA4gAEVA8gV1n72HwFtMrmS8/dgMzDkQwHrXL5cO6btVE52POeVJLjd6Pb981yH0G1oR14eyizwEplC8B3d+PhKfImi8NxpnbL5jxk3+tiE7Vi8vXGTOzTPc7O99F4LiX8NzL+Pj2Tw/HuNyQ1LQJ0P6bngiOAAUA6TmQhAAtQJJgV5VS3Q1bnXL5sFaCDRsH9fPXbz/ln/EfVgul88n79MKE3ZewPkST96q9YzFMEzDv1a2nb1Fr9lGt5zBisgcypkujqmeTnCECREAcAv/ydBJ8/YkYTNijKYjkWDI3tghYECkpOrqFmaSyQ5zZ09ZSfrwv3n/+yn74X78asC+WSwpTSKdMCejeWkiYtqTn+nAcvvqIWT7EvSwGuZeRqSfmZ9bSo1GY5RvJHHezyo81XavyBsJl5hHcff6eyVvd2QHu1gV4k68WQbT/VstMmuYHBQBN40ejjSRAC5CR4GgYI/Dn4Wv487DmypZnxYJY1lH8K1ucQd+/f0fpMT6KO73wx44L2HzqDmPazbkEJjSpINhT9uT1R1Sdqn1V+vQ4d+SR+VVpwYCQYCJABEwisOb4TUzad4XJqFE6Dzb9ZvhJcN2TRXZFcmD3ABeTbDNm8IpjNzBdBicRjbHd1DF2Ew/i5fvPTMyWXtXhWIpyuJnKVU3jdb+zdHYqjklNK8a5OHL7eWwNv8vc7eJUHBP//5maGCjVl3kHI7EwQcqZRjaFsKQDfyln6s49ihtP3jI8dAU88SeF9t9K/Q3i124KAPLLk6TpSYAWID1BUbckCXDXtbhTgPGtmb0F5rcRP2l7vH5rL1+8+6Ss0wtDtpzDf2fvMYZ9apXGH55Wgj117z99RXkvXy35gSPqoFgeSvQuGHQSTARUTICvUyVyyb0npxdbYj821aYexuPXmit8G3pUQ80y+cQ2g/TJmIDuKb+h9cpiYN0fp/x0vxM2sSuMRe3sZeyNeZk2Zd8VrD5+kzndskoRzGnFX8qZRguDcPn+KyZ/bis7tKhSxLwg6+Et7b/1gGQGXSgAaAaTLEcXaQGS46woyybvPZex7kQMM7pt1aKY0cJWMifsJx3E83ea0wtKqEDXb+Np+Fx8yJgNqlsGQ+qVFYwhd1Ky1BgffE+Q54mr3MxVcKZGBIgAETCUAF+nSuRSffenasT2Fpgn4YstQ+fDlP50hc8UeuYxttnSYJxNkOdvarOK6OD4I8/fysAbmOajyePpbJkHG3safhrYPEiK7+XY/y5i48nbTDGXn5HL08hX080ByaWz4dLaUNMmQPtveiI4AhQApOdAEgK0AEmCXVVKR++8gH/DNNdXu9YoAe9fhLu+mhK86tP88fDVB9ZtXbeqqF0uf0rDJP28+7pTOBLxmNkw0qMc+tW2FNQmrlgKVzQlvlGlNkFxk3AioGoCuoWMmle2wLzWhp8ED46KRYfVJxmrvFnTI3xcPdHZee2+hL9FzMsquoPJKHSbexTRCa7wLe1QGQ1tqIqrnOZIaltcZwXg9jNNpd/lHavAo2LBOLO2n76L4dvOMxO5F4vcC0Zq8iAwdMs57Exw46S3aymMblieN+ParwrFiRtPmTyvxtbo7lKSN/lqEUT7b7XMpGl+UADQNH402kgCtAAZCY6GMQK611d71yqF0Z78fZkwFHXt2QGIear5YrqiUxU0qPDji6lcW7uVoQiJ1nxh8m5ija7Own5hcpx2GI9eaa55re9eDbXK0jUvuT4jZBcRkDOB8bsuYUOoppBRB8dimGpEIaMzt5+j+dITzNUs6dPg8iQP0V0fse08tp3W5DHr4VIS4xtbi26HFAo9FwTh6gPNFb4/21TCr/YWUphCOmVKoIKXL94mSLWS8AViQMRjdFt3illeIHsGnBzjLlNPzM+svv+cxoFLwt046bY2DAGRTxjYUR5W6Fu7tPmBTsFj2n/TI8ERoAAgPQeSEKAFSBLsqlIq9JcJQ2E1mB+IyEev2bCF7ezxi11hQ8WI2v/XJcE4d+cF0zmjuQ3aVhP2yoTbnKOIjtUkal7WoTI86ZSHqPNOyoiAWgjwFTDjAk9cACq+pUoFRE9riFTc/xGxDdh0BvsuPGAaB9SxxPAG5US0QDpVTZcE43yCv0czW9igTVVh/x5J5y1pNpRAYjmEA4bXRsm8WeJEcd9luO808S1dmlS4NsVT9N9hQ/0yl/5d1oTh2DVNgG60pxV61+IvQCe3PYFc55X233KdGXHtogCguLxJ2/8J0AJEj4KpBHSvr0r9tu+Xxcdx4e5L5taslrZo7VDUVDcFHe/xZyAiHmqClgvaVkLTSsKeuGi8KAiX7mlOecxuaYtWMuck6CSQcCJABIwmwFfALCb2LWrPOaplR8RkD2RMl8Zo24wZ2HP9KRy+qknLMKJBOfSvI2xaBmPsFGJM6+UhCIt5xkRPbloBnZxKCKGKZCqQwN3n7+AyM0DL8gve9ZE9Y7q4n9159g41Z2l/ftG7PrL9/3MFuqwqk1uvCEHYTc3v96SmFdCZx99vsYvaKXVyaP+t1Jnj124KAPLLk6TpSYAWID1BUbckCejm+5jQxBrdBL6+mtx0tFp+Aqdinms2L79WBJfkWM5NimvLbVaE4GSCL4ETf6mALjVokyfn54RsIwJyJaBbFXR4/bIY4PajKqgh7fGrD6g2zV9ryDmvesiZOb0hYkzu22F1KIKjzDOPVae/TiLoeixjOK5RefSsWcpkpiRAHQS406HcKdH4lj5NakRO8WAn/LjcwlyO4YTt2IjaKJ7nxwlBatISaLLoOC7eE+4l+R87LmDzKfnkBZeWdtLaaf8t15kR1y4KAIrLm7T9nwAtQPQomEpAt+LX9OY2aCfw9dXkbFbi5kU3H9/f3avBVeB8fFIUHjH1WaPxRIAIyJNAx9UncTzK9KDRqw+fYet9UMvJkNFuKJQjk6iOy+3vmpjOm/PpRzE5K1XXkYhH6L4unJlfKEdGhIyuy/79/ft3lBvvi09fvrGf/devBuyL5VKqy6qy233eMUQ9fsN8WtzeHo1t+UuT473nMtadiGHy21UriunNbVXFkA9naP/NB0Xly6AAoPLnUJEe0AKkyGmTldENFwThSoKE4fNa26F55SKS2ajEzYuttx9efdBU5N3a2wnVSuYWlKHulb3+dUpjRAMrQXWScCJABNRJoMWyEzh9S3PyemqziujgaPjJ689fv6HM2ANakPyH1ULpfFlFBWfOhTD6bzqD/QnyH/7uZolh9c0j/6GoD5lClW0Nv4OR2y8w6ysUzo79A7Wr/DpN98eDlx9Yn7+6OKBu+QIK9VhdZjvPOIJ7L94LNjfTfa5iRWA0k9/c3gLz2hheEV5d1H/2hvbfap9h/fyjAKB+nKgXzwRoAeIZqBmKc5t7FNFPNMUklnaojIYSFpPgKxeVmFNZduwBfPqqeVu+d4ALbIrkENQEuqYhKF4STgTMikCjhUG4fF+TU3RuKzu0qGLciyDLMT748u0747fvdxdUtBB2PdSdLN20DMs7VoFHRXlXk+frgRu+7Ty2J6iA3NOlJMaZSQVkvhiqWc6yozcw0zeCucjdVuBuLSRsui+GlZCLWc1zltC3ypMP4dnbT+xHm35zRI3SeXlzf96ha1jof53Ja2hTEEs7VOFNvloE0f5bLTNpmh8UADSNH402kgAtQEaCo2GMgO7bxDVdHeBmJd2b3lHbL2BLuCb/SDfnEpjQpIJsZ+zrt+8oPcZHy77DQ11hmT+boDZP2nsFa4JvMh2tqhTB7FZ2guok4USACKiTAJ8vgmy8/fA6wYno7X2c4FBC2BPRurOim5ZhffdqqCVwWga5PBnjd13ChtBbzJwOjsUwtZmNXMwjOyQmMHX/FawK0nx3SOyEl24qFr4rzUqMQNHqy4/3xfvPX5kPfF/PXhIQhdl+kf9j7zrAa8q+/U/vNXoXQZSIkEoEURJlRhnDMAyG0Rll+A8iasJgMDOM3ntnlCSEiChBiBBERPQWvUd/38m87HPvmZBbTr137e9733tv7t5r/dZvnRxnr732Wkx+I/siWNzNRdOcSQGe9t9SsKo9mRQA1J7PLAIxvYAswo2KGuE8aS8evNA5Tezphjp24p0mGmvc+B3nsPQwX3+kg3Np/NZOvfVHXr55j2qCgtmH/tcQpQrkNNZ0o+bP2HMRf+5PYGtaOBTHnO9rGSWDJhMDxAAxwDEg5kGQa0Aokp6/YcSu7OGKehULy0q0EmUZZDXwC8oCd1/AAt0rfLVKYkZ7usKnFv8ojWPo+tPYEn2LwfipXnmMblFVD9agtdH4J+Y2+2+9vWwxsnkVpaFbvf6PHz/BVnDgHDLYC5WLiXfgvPjQFUzceZ5xXdfOBqt7uls990ICaP9NjwTHAAUA6TlQhAF6ASlCu0Up5bq9cV3fUsfmvnVQu6xyxZ6nh1zE7DA+sNWyRnHM7qTewNaDF2/gPClU75mI8muMQrmzSfqczAu/jClB/DWeBpULY1l3/Ws8kgIg4cQAMWAxDIh5raz+tDBce/iKcTO/S234VJP3+q2wLIMS15CVejiEV/jocEgpT6hT7w9LjuNg/H0G7tdm9uhTv4IeWGEjCLphoA5fvn77AVX8g/XAHBzeEGVsxDtwXhV5DX7bYpkO57IFsKlvHXUQoCIUtP9WkTMUhEIBQAXJt2bV9AKyZu+LY7uwXtOuQZ6oVkLeek26lvx9IAFTg/nrB972RbBExdcPbjx6hXpTw/SccW68D3JlyyyOgz4jZeXRqxiz/Rz71aVcAWzsQx9pkpJOwokBC2Wgqn8wXr3lr5Vt6VcHtUzs+uk76yDi7j5nTP3xXU20qllSNubef/gIO0EjktCh9WFXRN5GJLIZLFAkrPGm9n9DleLJWvUK631Oa1cD3zqX1qODqwHHBZJTB10DVcfT8vDFG9QWHDifGN0YhfOId+DM1Q/l6oimjuol82LnQP0mMepgQ1kUtP9Wln+1aKcAoFo8YWU46AVkZQ4X2dy0NkpKdGzUNWv5kasY+w8f2HIrXxDre3uIbLl44i7de44mMw/qCbwc2ByZMmYQT0kakracuomhG/iPtKrF82L3z/SRJinpJJwYsEAGPn3691rZJ75vB4J+rocqxfOaZG2bvw8j+voTtnZKWwd851rGJFmmLOIy2rnMdt1x+FdvlMyfwxRxmluz9PAVjN/BX+HzsLXB2l50hU9zjpQIsHvgPtx9xnf4XdrNBQ3ti+hpE2aB1SydH9v615UIEYk1lIGbj1/B8zf9A+fY8T7ILeKB884ztzFgTTSDVLFIbuwdWt9QiFYzj/bfVuPqLxpKAUB6DhRhgF5AitBuMUrT2ijJUb/uSwRujLqB4ZvOsCkOJfNhx0BP1XJ+9uZTfDX7EMOXNXNGxE9qJjne4Ni76LPqJNNT1iYnwoc3lFwvKSAGiAHLYuDN+w+o7Kd/rSzslwYoXyiXSYZ2WhiJI5cfsrX+LaviR8/yJskyZdH952/gEqBfluHUmCYomCurKeI0t2bd8ev4dctZhpuCN5pzoWSAuWB/Jb8gvPvAR/v/GVAXNUrl19MZdPYO+q4+Rd8XknnCNMFyHDjvPX8PP62IYgBLF8yBiBHepgG24FW0/7Zg5xphGgUAjSCLporHAL2AxOPSGiUpVb/uS1zvPnsH/XQ+PG0L58L+YQ1U657jVx6h/fyjDF++HFkQM7ap5HgjLt1Hl8XHmR6u5iBXe5AGMUAMEAPGMPD01Ts4TtijtyRyZCMUy5fdGDFsbo9lJ7AvLon9/8N9KqN/QzuTZJmy6PrDV/Capp8lc2GCL3JkzWSKOM2t2X76Fn5ed5rhti+WB8GDvTRnBwEWn4Gnr9/Bcbz+33pa2bGRiQ/x3YJIBiBPtsw4O95HfEAk0SgGztx8gq9nH2ZrpDhwFn5bcteLuWvGNPQZoP03PREcAxQApOdAEQboBaQI7RajVKn6dV8i8MDFJHRbeoJNKZY3OyJHNVIt5+Hx99F1CR+IK5o3G46Nkv5j6dT1x2j79xHGS86smXB+gq9qeSJgxAAxoE4G7j1LhlvgPj1wp/2bIH9O0zLmBqw5hZ1n7jB5A73tMKxpZdmMv3j3OXxm6ZdlSAxsjowSl2WQzcB0FIWcu4veKyk7XC3+UBOOxPsv4P17uB6kuIm+yJ5FPzieVqYZd7OBCzjRUI4BYWBWigNn4aF23uyZcWYcBX+FXqf9t3J/B2rSTAFANXnDirDQC8iKnC2BqRfuPEOzPyKY5AwZAG6jlIH7PxQaJ64+wrfz+Iy6PNkz46yKPz6EV3HL2eTEARmu4lr7Jlehx5PUEgMWx8DVBy/RYPqBdIMChho+fGMMNp68yab39CwPv5ZVDV1u9rzTN56g9Rw+SyZHlky4MNF6Dke4Dq9cp9fUIdehlNmOIwGSMyD8vsqVNRPOpXFwmNbtkGOjGqFoXtOygiU3zEoUhF1MQnedA/Li+bLj6EhxD8jlyDK0BHfR/tsSvGi+DRQANJ9DkmACA/QCMoE0WsIYiLr6CO10gm1cIWGuoLCS49ztp2jxJ19Tj2umkRDQTNGg5Jf4UOq6VVrZm2IXg1byOSDdxAAxIA8DYh8E+W+PxYqj1xj4Tm5lENjGQR5jABy9/BAdF/LXF7naf1wNQGsZwiAPZfBYi+fTtzM49g76rOJr+5UpmBMHR/y3dvCHj59gN1q8xkDpI6MZhjDwnxI5hXJh/y/ilshJ63D5ymRlEwMM4UbuObT/lptxdeqjAKA6/WLxqOgFZPEultRApa6vfskosbNRJCUQgLDgulOZ/NjaT/pueY9fvoXTxL165tEJvdTeJvnEgOUxEH39MdrolBMwN2Nu8u4LmH8wkRHV1qkkZnSoKRtxYXFJ6L6MLyPBdf/l6pxZy/hPY6pMGREfIH1jKmvhV8t2Crv7ful7xWFcCJ4nv2fmru/lDjdbGy2br3nsm0/exLCNMcyOaiXyYtegeqLade3hS9SfJl5GuKjgVCSM9t8qcoaCUCgAqCD51qyaXkDW7H3zbVdjw42k58lwDdCvR6XmDo5LD1/B+B3nmTM8bG2wtpe7+c5JR0JanTv3D6sP28K5JddNCogBYsByGDhy+QE6LTzGDDI3Y25WaDxmhV5i8ppVL4a5nWvLRpjw37UKhXNhn4obSYlNTELSczSeoV8Dkcuiz5yJ6reJzbXW5P0RegkzQ+MZ7MZVimJRV+c0zagzeR9uP01mvy3u6oxGVYpqzWSLwrsy8hrGbItlNjmXLYBNfeuIauPdp8lwn6z/DR7j3xT5cmYRVY/WhdH+W+seFAc/BQDF4ZGkGMkAvYCMJIym6zGwIeoGRmw6w/5bjVL58M8AT0VZevnmPaqNDdHDEDGiIUoXzKkors8p//tAAqYGX2Q/e9sXwZJuLpJj/fTpEyqODsL7j5+Yrp0DPVG9ZD7JdZMCYoAYsBwGhBlzJfJlxxEz6krND7+MyUFxjKAGlQtjWXdX2QgTZslUL5kXOweKmyUjmzEmKLr5+BU8f9PvgkzlIUwg0gKXjN0ei+U61/O/cymNKd/USNNSn5kHcfHec/bbrA410dqppAWyoh2TFh5MRMDuCwxwvYqFsLKHm6gGPHn1FjUn0O2S9Eil/Xd6DFnH7xQAtA4/q85KegGpziWaAqRU9tqXSPr48RNsR+3WmxIy2AuVi+VRJbcz9sbjz318tksLh+KY830tWbA6jt+Dp6/fMV3rernDna7oyMI9KSEGLIUBsTPBVxy9Cv/t5xg9ruULYkNvD9noEmbJuJQrgI19xM2Skc0YExQ9fPEGtSeF6q08MboxCufJZoI0WmJJDPRfcwq7dDp0929YAcN97NM0sd3cI4i69pj9NrFVNXTxKGdJdGjOFu5bk/vmTB1NqxbFgh/SzuA01bjkdx9gPyZYb/nB4Q1Rxkadh/Cm2mnuOtp/m8ugZaynAKBl+FFzVtALSHMuUxXg2fsvYfoew66DyAm8qn8wXr39wFRu6VcHtcoUkBOCwboCd1/AAp16V9/UKoXf2zsavN6cicIrOku6OcPbnq7omMMprSUGrI2BLaduYugGvq5U1eJ5sftn0zPmlM4slyNLRs3PyKu371HVXztZ9Grm0tKwdVwQiaOJD5lZfi2qoGc92zTN7L70OMIu3me/jfCtjH4N7CyNEk3ZMyUoDvPCLzPMrWuWwKzvnES1Ia1D+D1DvFCpqDoP4UU13ghhtP82giwLnkoBQAt2rppNoxeQmr2jfmxyfEyYwoLzpFA8ePGGLV3Vww2eFQuZIkryNVw9Fi7jJHV0di+DSa3l6XjZZEY4LiW9YLr/6uiErxxLSG4zKSAGiAHLYWD1sWsYvZWvK1W7bAFsNqOu1M4ztzFgTTQjqGKR3Ng7tL5shAmzZHyqFcX8LuJmychmjAmK0trA7x3ihYq0gTeBTcta4jvrIOLu8td6Z7R3RNtapdI0cuDaaOyIuc1+69ugAv7nm3a2oGWxpF5rxv1zDsuOXGUAO7qWxuS2aV/hNseKSn5BePv+IxPxz4C6qFEqvzkiLW4t7b8tzqUmGUQBQJNoo0XmMkAvIHMZtO71wuDV925lENBGnuDVl5ivPy0M1x6+YlPmd6kNn2rFVOmsXzbGYNPJmwxbT8/y8GtZVRasreYcRsyNJ0zXlLYO+M61jCy6SQkxQAxYBgOLIhIxaRdfV6qunQ1W9zS9kdG+C/fQY3kUI6dUgRw49D/5uvD+FhyHuQekzZJRu+dpA692DymDzz1wH+4+4xt7LO3mgob2RdIEM2rrWaw5dp39JufhpjLsqF/riE0x2BDFf292r1sOY7+qJjpwYQfojX084FKuoOh6tCyQ9t9a9p542CkAKB6XJMkIBugFZARZNPU/DAxdfxpbom+x/97byxYjm1dRnKlmf0Tgwp1nDMfMDo5o45T2KbXSYAesOYWdOjV1BnrbYVjTyrLA6rQwEkcu89d5xrSsih6e5WXRTUqIAWLAMhgQuxTEkYQH6LSI7ypskysrTo5pIhtZcmXJyGaQCYqE9WHX93KHG9WHNYFJy1nCNQ6rPCZYL7Nra786cPpMeZXJQRcwPzyREdCqZgn8IfJ1U8thVx5LhFmZX6rhaA4il4BQ3H/O38JZ2cMV9SoWNkekxa2l/bfFudQkgygAaBJttMhcBugFZC6D1r2+14oo7Dl/j5EwpHEl/Ny4ouKkCItPT2pdHZ3dyyqOKy0APZefQOiFJPbTcJ/K6N9Qnjo5P62Iwl4d/w1tUgmDGinvP1U6ikARA8RAmgxMC4nDnDA+Y44rI8CVEzB1RF9/jDZ/H2HLc2bNhPMTfE0VZ/S6XzefwboTN9g6qbJkjAYm4wJhptey7i5oUDntTC8ZYZEqBRlIqzZk+PAGKGuTK01Uc8ISMC3kIvutkX0RLO7moqAFpFr4vflL00oY4C3+N5/nb/tx8/FrRviiH5zRuCrVl9Z9Amn/TX+PHAMUAKTnQBEG6AWkCO0Wo/T7RZE4nGBYQWg5jf5hyXEcjOeLT49qbo9eXhXkhGCwLiGH/i2r4keZsvCGrD+NrSrM4DSYPJpIDBADijMwYcd5LDl8heFo71wKU9uZ3sgo7u4z+M6KYPIyZAASA5sjA/d/yDB+XheN7af52mX9GlTACCurXdZw+gFcefCSsT2vcy34Vi8uA/ukQq0M3HryGnWn7NeDFzO2KfLlyJIm5OVHrmLsPzrdvMsVxIY+8nXzViuPSuISfm9Kdeuj8YxwJOjUl57dyQkta1B9aQoAKvn0q1M3BQDV6ReLR0UBQIt3saQGqrWGXN9VJxEUe5fZPrhxRQxuXElSLkwV3vbvwzh1na/DF9jGAZ3c5KnD57ftLFZF8jV6OL2cfhrEADFADBjKwMgtZ7H2OP8e6epRFuNbVTd0+X/mXXv4EvWnHdD773ETfZE9SyaTZRqzUJjZPqxJJQy0ssxoYRmNWR1qorVTSWNopLkWxkDsrado+dchZlWmjBmQENDss4F5YXdw+2J5EDzYy8JY0ZY5bf4+jGgZvjdb/BmBc7f5Mjy/f+uIb2qrswyPUh6k/bdSzKtLLwUA1eUPq0FDLyCrcbUkhqq1i+ywDTHYfIovdNzLyxajVFCbMC0nKFmvkGr0SPJnQUKJAatiQJhJ3Kd+BfzazPRun0nPkuEauE+Pw+gxTVAgV1ZZeO2y+BgiLj1guvxadKXwHgAAIABJREFUVEHPeray6FaLEmGgYHJbB3SkBlFqcY8iOCIu3UeXxceZ7kK5syLK7/O1ObnyIlyZkdQhdzMfRUhSuVJhF2epAvvfzD2Ck9ceMzYC2lTH927qLMOjlMto/60U8+rSSwFAdfnDatDQC8hqXC2JoXUm78Ptp4Z1hJMEwGeE+m+PxYqj19ivaulOnBZc7+kHkKjQVav/Fu8vgkVdqUaPnM8q6SIGtM5An5UnEXyOz7g2txbs8+R3cBi3R4+WI796o0T+HLJQJawha42bV2GDKDlLU8jiZFJiNAP/xNzGoLXRbJ1dkdwIHVr/s3KOXn6Ijgsj2e/cVWHuyjAN5RioPy0M1x6+YgDmda4N3+rFRAekZGkb0Y2RSCDtvyUiVmNiKQCoMYdZClx6AVmKJ5Wxo8a4EDxLfs+Ub+jtAdfyBZUBo6N1SlAc5oXzRenbOJXEzA41FceVFgCPyftwRyeIKmex9aWHr2D8jvMMlrttQazrRTV6VPmgEChiQKUMiF1z9d2Hj6g4OkjP2n3D6qNC4dyyMCC8vjajvSPa1rKu62s9lp3AvjhlmlPJ4mRSYjQDK45ehf92vqafS7kC2NinzmflGHtl2GhAtMBoBlwDQpGk0513xY+u8KokfnfeH5edwH6d98cI38ro10Ce5nZGk6LQAtp/K0S8ytRSAFBlDrEWOPQCshZPi2/np0+fYDc6CB8+fmLCdw3yRLUS+cRXZqTEv/Zdwu9749mqplWLYsEPzkZKkWd6zQl78OTVO6ZsXS93uNvayKJ8Q9QNjNh0humqXjIvdg6sJ4tuUkIMEAOWwUD7eUdx/OojZszEVtXQxaOcWcZVHL0b7z7w/7bsHOiJ6iXl+bfF+/cDSLzPN8CY+30tNHOwrgYY/decwq4zd5gPB3rbYVjTymb5lBZrm4FZofGYFXqJGdGkalEs/MJ31fWHr+A1LUzP6HPjfZArW2ZtE6Fh9A7jQvBc59B+Yx8PuJQT/9C+3+qT2H2Wzwof1KgihjZRZx1updxJ+2+lmFeXXgoAqssfVoOGXkBW42rRDU1+9wH2Y4L15IYPb4CyNrlE12WswMWHrmDiTj6zzdOuEFb1dDNWjCzzK/sF4c37j0zX9v514Vg6vyy6g87eQd/Vp5iu8oVyIeyXBrLoJiXEADFgGQx89dchnL31lBkzrV0NfOtc2izj5NqopgXyP6UturugYeUiZtmjtcW/bIzBppN8Hd2enuXh17Kq1swgvCIyMO6fc1h25CqT2MG5NH5rV+OzGh6/fAuniXv1fj82qhGK5s0uIioSZQwDdqN2473Oob1UByvCurC969tiZLMqxkC1+Lm0/7Z4FxtkIAUADaKJJonNAL2AxGbUeuQ9ePEGzpNC9QyO8muMQrmzKU7CuuPX8euWswyHU5n82NqvruK4hAA+fvwE21G79f7zniFeqFQ0jyxYD8bfB3d9L3UUzpMNJ0Y3lkU3KSEGiAHLYKDxjHAkJL1gxszu5ISWNUqYZZxbYCjuPXvDZEh1VS0tkE4T9uCxQlnZZpEm4uIx22KxMpKvo9vZvQwmtaYO8SJSrDlRP6+LxvbTtxnu9II6aV3lDx3qBbsi8nzfaI5giQHLWVph5JYzWHv8BrOoW51yGPd1NYkt1JZ42n9ry19SoaUAoFTMktwvMkAvIHpATGXg2sOXqD/tgN7yuIm+yJ4lk6kiRVsnLFZduWgehAzxEk2+WIJev/2AKv76WZQRIxqidMGcYqn4ohyuSxvXrS115MiSCRcm+sqim5QQA8SAZTBQd8p+3HrymhmzuKszGlUpapZxDaaF4apOsfr5XWrDp5r4xerTAmk/JgjJ75TJyjaLNBEXB+w6j4URV5jEb2qVwu/tHUXUQKK0xoCw1ifX6Zvr+P2lIfxb2tKvDmqVKaA10y0C79PX7+A4Xp7mSsJs0Y6upTG57eezRS2CYCONoP23kYRZ6HQKAFqoY9VuFr2A1O4h9eI7d/spWvx5iAHMlDEDEgKaIUOGDIqD3nfhHnosj2I4ShXIgUP/81YclxDAo5dvUUtwRYbLwOMy8eQY8feeo+nMg3qqLgc2B+dLGsQAMUAMGMJA7Yl78fDlWzZ1zU9uqFOhkCFLPzvHd9ZBxN19zn6f1aEmWjuVNEumIYu5mrYVFMzKNgSjHHNm7LmIP/cnMFUtHIpjzve15FBNOlTKgPCq/9RvaqC9y5ev+rsEhOK+DE0nVEqZqmDde5YMt8B9ephO+zdB/pxZRcc5OegC5ocnMrlqbsQnuvEGCqT9t4FEWfg0CgBauIPVah69gNTqGfXjOn7lEdrPP8qA5smeGWfH+agC+NHLD9FxYSTDUjBXVpwa00QV2HRBcFkzXPaM7jg7rinyZM8iC9a09J8Z1xR5ZdIvi5GkhBggBiRloMqYYLx+94Hp2NqvDpzMzPJp+/dhnLr+hMmc3NYBHV3LSGoHJ/xZ8jvUGCdPlozkxpih4O8DCZgafJFJ8LYvgiXdXMyQSEu1zoDnb/tx8zGf6bugS200TScrV9hQZ06nWmhRw7oa6qjF71cevETD6fLc2pmxNx5/7uMbxjR3KIa/v6+tFipUgYP236pwg+IgKACouAusEwC9gKzT72JYHRaXhO7LTjBRxfNlx9GRjcQQbbaMMzef4OvZh5mcbJkz4uKkZmbLFVvA5fsv0Oj3cD2xlwKaIUumjGKrSlPe01fv4DiBNruykE1KiAELZIDrBl9+pH4d0+DB9WBfLK9Z1n6/KBKHEx4yGf4tq+JHz/JmyTRk8Z2nr+ExWf9QJmZsU+TLIc+hjCEY5Ziz9PAVjN/BN9LysLXB2l7ucqgmHSploPrYELx4856hM6SDbKvZhxBzk28QNKWtA76TIZCvUgoVhXX+9jM0/zOCYeAuenA3PqS4tUMHCOm7mvbf6XNkDTMoAGgNXlahjfQCUqFTNAJpR8xtDFwbzdDaFcmN0KH1VYGeK0jPFabXHdz15MwyBdYMJSH21lO0/Iu/Rp0lUwZcCmhu6HKz573/8BF2o4P05Owd4oWKMjUhMdsAEkAMEAOKMiBVN/iey08g9EISs224T2X0b2gnua2X7j1HE0FZBDX+2yE1EcJGWjVL58e2/uprpCU1DyT/Xwbevv+ISn763wqGNPTovOgYDiU8YDT6taiCnvVsiVYFGDh57RG+mcvf2smVNRPOTZCm5vOSQ1cwYSd/gFDXzgare9IBgq7baf+twB+BClVSAFCFTrEGSPQCsgYvS2OjcIPgWDo/tqtkg5BWFocar7ZGXX2EdvOUvUYtLNItxvU9aZ44kkoMEANqY+Dxy7dwEtQxPT6qEYrkzW4W1AFrTmHnmTtMxoCGdvjFp7JZMg1ZHH39Mdr8TY2RtkXfwuD1pxll9sXyIHiw+hppGeJTmmM+A0nPkuEqqB930q8xbHJ/uV5x31UnERR7lwEY1KgihjapZD4gkmA0AxGX7qPL4uNsXaHc2RDl19hoOYYsWH3sGkZvjWVTa5ctgM196xiy1Grm0P7balz9RUMpAEjPgSIM0AtIEdotQuniQ1cwUaUnfGl1O4sc2QjF8pm3KRXbccIPMq75B9cERM7hPGkvHrzgC/iv6uEGz4rmFfCXEz/pIgaIAeUYuP3kNeoI6piKcdgyYlMMNkTdZIb18CyPMS2rSm7ooUsP0HnxMVk2yZIbY4aC4Ni76LPqJJNQziYnDgxvaIZEWqplBi7efQ6fWfoNwwzJjBX+HXevWw5jv6qmZSo0iz3k3F30Xsn/TZe1yYlwif6mN5+8iWEbYxhX1Urkxa5B9TTLnRTAaf8tBavak0kBQO35zCIQ0wvIItyoiBFcgV+u0G/qaFq1KBb84KwIFqHSdx8+oqLgauu+YfVRoXBuVeBLBbH3/D38tILvVlymYE4cHCHvJqv+tDBce/iK8TKvcy34Vqci3ap6UAgMMaBSBqSqYzp2eyyWH73GrO7kVgaBbRwkZyE49g76rDpl9YGv8Pj76LqEzxYqmjcbjo2S93BKcmeTAoMZiEx8iO8W8I3V8mbPjDMGNH2bsOM8lhy+wvS0q10K0791NFgvTRSPga3RNzFkPR+Uq1I8L4J+liYot/PMbQxYo84SQeIxap4k2n+bx5+lrKYAoKV4UmN20AtIYw5TEdzJuy9g/sFEhqitU0nM6FBTNQi5ejVc3ZrUsWOAJxxK5VMNPg7IPzG3MUinjmLlonkQMkTea1Yt/ozAudvPGC/cxzn3kU6DGCAGiIH0GJCqjunkoAuYHy7/vy+bTt7ELzqZK9VL5sXOgdJsktPjVsnfj195hPbz+fIUhgZ8lMRMuqVjIOjsHfRdbXxgfObeePyh0w3Wt1oxzOtC3WCl89TnJa+KvAa/bfy1XOeyBbBJomu5oefvoafO4XapAjlw6H/eSpitWp20/1ata2QFRgFAWekmZakM0AuIngVTGRi99SxWH7vOlndxL4uJraubKk70dU4T9uDxq3dM7rpe7nC3tRFdjzkCN5y4gRGbzzARStRR5DZ53GYvdYz/uhq61ilnjlm0lhggBqyEgRNXH+FbCeqYzgqNx6zQS4xFuQIHy49cxdh/zjG9buULYn1vDyvxJm/m2ZtP8dVsvkFV1kwZER/QzOp4IIP/ZWDNsesYtfUso8PQpjCLIhIxadcFto6aQSj3RC04eBmBu+MYAK9KhbHiR1dJAKmhvI0khokolPbfIpKpYVEUANSw87QMnV5AWvaestgHr4vGttO3GYg+9Svg12b2yoLS0V53yn7cevKa/Zcl3ZzhbV9UNfg4IMLNprttQazrJe9m88dlJ7A/Tv5um6pyBIEhBogBkxg4GH8fP+hcFS2SJxuOi1DHVLhZrV+pMJZLtFnVNXxOWAKmhVxk/6mRfREs7uZiEjdaXpSQ9ByNZ+jXfLsc2ByZMmbQslmE3UQGhH8XDSsXxtLu6QeP1p+4jv9t5gOHNUrlwz8DPE1EQcvMYUCYjdmsejHM7SxNNqZUB0Pm2K+2tbT/VptHlMFDAUBleLd6rfQCsvpHwGQCei6PQuiFe2z9L00rYYB3RZPlib2w6cxwxN97wcT+1dEJXzmWEFuNWfLmh1/G5CD+RLZB5cJYZsBHtVlKBYu5K8jcVeTU0bdBBfzPVz2BXDFtJVnEADEgLgNSFZZfefQqxmznM/FcyxfEBhky8X4LjsPcA5cZSa1qlsAf3zmJS5oGpN149Ar1pobpIT033ge5smXWAHqCKDYDAbvOY2EEX8vP0JIvu8/eQT+dq8O2hXJh/y8NxIZH8gxgQOjDb2qVwu/tpanHeObmE3w9+zBDlTVzRsRPogxiXTfR/tuAh9YKplAA0AqcrEYT6QWkRq9oA1PHBZE4mviQgfVvWRU/epZXDfjWcw7j9I0nDM9v3zigg0sZ1eDjgAivuUl5Ivs5w0duOYu1x/mr3D94lMWEVuq5yq0qhxEYYoAY0GNg++lb+Hndafbf7IvlQfBg8+uYboy6geGb+PIIDiXzYcdA6TOH/LfHYoUCzUfU9lg9ePEGzpNC9WBF+TVGodzZ1AaV8MjAwLANMdh8yviu3MKroNzzwz1HNORngLvCzV3lTh1SfuvF33uOpjP1M4gTA5sjI2UQM/5p/y3/34AaNVIAUI1esQJM9AKyAidLZOLXsw/hzM2nTPrUb2qgvUtpibQZL/b7RZE4nKDeACVnkVKF7nXZ/M/Jfq2SmNFePc1cjPc8rSAGiAG5GFh3/Dp+3WJ8bbD08O06cwf91/BNB+yK5Ebo0PrpLTP796EbTmPLqVtMTi8vW4xqXsVsuVoT8PLNe1QbG6IHO2JEQ5QumFNrphBeERjosewE9umUCjH0xgd3CMsdxqaObJkz4iJlgongEeNFCMv29K5vi5HNpHm3XX/4Cl7T9DOI4yb6InuWTMYDt9AVtP+2UMcaaRYFAI0kjKaLwwC9gMTh0RqleP9+AIn3XzLT53SqhRY1iquGip9WRGHvefVeUeaIGrs9FssVzjb5I/QSZobGM781rVoUC35wVo0fCQgxQAyol4Glh69g/I7zDKCHrQ3W9nI3G/D+uHv4cVkUk1Myfw4c/lX6LpK9VkRhj86/G0ObVMKgRuopbWE2sQYK+PDxEyqM2q03e+8QL1QsmsdACTTNkhho+/dhnLrO36iY1Lo6OruXTdfEhKQXaDwjXG8edxWUuxJKQ14GhN/EUr7b7j1LhlvgPj0DT/s3Qf6cWeU1WsXaaP+tYufICI0CgDKSTap4BugFRE+DqQy4BYbi3rM3bPmy7i5oULmIqeJEXyc87VRjbbsRm2KwIYq/VvNj3fLw/6qq6Fx8SSB16ZOVblJGDFgUA38fSMDUYPGbZhy5/ACdFh5jXNnkyoqTY5pIzp0wc3xMy6rooaLSFpIToKOgkl8Q3r7/yP7LPwPqokap/HJCIF0qYaDh9AO48sD4A9+kZ8lwFQSCTo1pgoK5KBAkt2s7LzqGQwkPmFq/FlXQs56tJDCevnoHxwl79GRHjmyEYvmyS6JPi0Jp/61Fr4mPmQKA4nNKEg1ggF5ABpBEU9JkoPrYELx48579tqmPB5zLFVQNW8J6J109ymK8ymrbCRtw9G9YAcN95G3AIbzC51g6P7b3r6saPxIQYoAYUC8Dv++5iL/2JzCAXBY4lw1u7oi+/hht/j7CxOTIkgkXJvqaKzbd9a3mHEaMymvHpmuESBMcx+/B09fvmLT1vdzhZmsjknQSoyUGaowLwbNk/ntv7U/u8KiQ/rPw+u0HVPEP1jM1fHgDlLXJpSXzLQJrm78PI1oni3NyWwd0dJWmLnbyuw+wH0N+/9KDQ/tvi/izMtsICgCaTSEJMIUBegGZwhqt+fTpE2xH7canTzwXQT/XQ5XieVVDjpwdz0w1Wg3XlHfE3MbAtdHMhAqFc2HfMOrSZ6pPaR0xYE0MTNp5HosO8d1B29Uuhenfmt9Z8uLd5/CZpV9E/srk5siQIYOk9Db6/QAu65S2mN3JCS1rqKt7vKQE6AgXZvkv/9EV9SsVlks96VEJA+8+fETF0UF6aPYM8UIlA66Dc9+K3Nr3H/mPxZ0DPVG9ZD6VWGc9MHxmHsTFe8+ZwX98VxOtapaUhADO7+VH6pcQCBnshcrFqIRAKuG0/5bk0dOcUAoAas5llgGYXkCW4Ue5rXj19j2q+qu7QPjs/ZcwfQ9f265xlSJY1NVFbqq+qK/L4mOIuCTPlYzPAQm7mITuS0+wn4vlzY7IUY1UxROBIQaIAXUyMHrrWazW6SzZxb0sJrY2v4u4UkXk3QP34e6zZEa22kpbyPkUNJgWhqsPXzGV8zrXhm/1YnJCIF0qYCDpeTJcA/TruRnTEbrmhD148orPJDU0e1AFplsUBM/f9uPm49fMpkU/OKNx1aKS2UglBL5MLe2/JXv0NCWYAoCacpflgKUXkOX4Uk5L0vogVFtdl1WR1+C3LZbRUqtMfmzpp66rre3mHkHUtccMo6GFtcX09Ymrj/DtvKNMZJ5smXF2vI+YKkgWMUAMWCgDUnXNTevfmOgxTVBA4tphDmND8FzFpS3kfIx8Zx1E3F0+Y2hWh5po7SRNxpCcdpEu4xiIu/sMvrMi9BYlBDRD5kyGNfKoN3U/bjziA08LutRG02oUSDbOC+bPrjVxLx69fMsErfnJDXUqFDJf8GckCK+Nb+jtAdfy6ikTJJnhBgqm/beBRFn4NAoAWriD1WoevYDU6hl14+KKQXNFoXXHxUm+yJY5k2qA7z57B/1Wn2J4bAvlwv5f1HW1teVfEYi99Yxh/P1bR3xTu5SsHJ6//QzN/+Q/7rkbdomB0l+1k9VIUkYMEAOSMNBv9UnsPnuXyeY65nLdJc0dz5PfwWGcfhF5rgsw1w1YqqGF0hZS2Z6WXDlrhslpF+kyjgFhQ578ObPgtH9Tg4U0+yMCF+7w3zkz2juibS15v3MMBmvBEyv7BeGNTlMfrtYzV/NZquESEIr7z/lGgSt7uKJeRSohkMo37b+levK0JZcCgNryl8WgpReQxbhSVkNibz1Fy78OMZ1ZMmXApYDmsmJIT9nRyw/RcWEkm2bsR2t68sX43Xv6ASTqdNb7+/taaO5QXAzRBsu48egV6k0N05t/brwPcmXLbLAMmkgMEAPWyUD3pccRdvE+M/5/vvbgOq6bO95/+Ag7Qd2x0KFesCsiXQ2pl2/eo9pYdZe2MJdXY9Z3WhiJI5cfsiX+LaviRyvtiGwMb5Y2d+eZ2xiwhq8TbFs4F/YbUSf423lHcOIqf9NhYqtq6OJRztJoUrU9SrxPhZmfC39wRhMJrxyr2gFpgKP9t9Y8Jg1eCgBKwytJTYcBegHRI2IKA1oIrgmvrXCZbQkBzZEpo7RF5I3h0zUgFEkKn5ByV0K4qyG64/ioRiiSN7sxptBcYoAYsEIGOsw/imNXHjHLx39dDV3riLO5l7uGVNKzZLgG6tc6k+PasVofmx+XncD+uCQGb7hPZfRvaKdWuIRLIgZWHL0K/+3nmHTnsgWwqW8dg7VJdUhgMACaiGfJ71BDkFF95FdvlJAwo7rJjHBcSnrB2LfmhkppPYK0/6Y/TI4BCgDSc6AIA/QCUoR2zSvddeYO+q/hr9eWL5QLYSq7XpvWZk5tdQqr+gfj1dsP7HnY2q8OnMoUkPX5ePP+Ayr7Bevp3D+sPmwL55YVBykjBogB7THQavYhxNx8yoBP/aYG2ruUFsUQuWtWXb7/Ao1+D9fDHj+pGbJmNqzWmShGq0hI/9WnsOvsHYZokLcdhjatrCKEBEUOBmaFxmNW6CWmqmnVoljwg7PBqgesOYWdZ/jnqH/DChjuY2/weppoPgN3nybDfbL+4cZp/ybInzOr+cI/I0FY4obrDs91iafxLwO0/6YngWOAAoD0HCjCAL2AFKFd80pXHr2KMTonwrXLFsBmI06E5SDg7fuP4DJIdEfo0PqwK6KOwNaHj59QYdRuAT5pr7h9jvdKo4Pw9sNH9vM/A+qiRinpasPI4X/SQQwQA9Iz0HRmOOLv8Vkef3Z0wteOJURRLPcVsjM3n+Dr2YcZdi7wxwUArXUM2xCDzaduMvN/qlceo1tUtVY6rNZu/+2xWHH0GrO/o2tpTG5bw2A+ft18ButO3GDzu9Uph3FfVzN4PU00n4HE+y/gLfPhhhqa3JnPnHQSaP8tHbdakkwBQC15y4Kw0gvIgpwpoynCE2GurgdX30Nto/rYELzQ6ei4sY8HXMqpowvZ09fv4Dhev8j90ZHeKJ5PuiL3n/OP04Q9ePzqHftZ6u5wantOCA8xQAyYxoCUQTq5u9AKmx0UzJUVXNa4tQ6/bWexKvI6M/97tzIIaONgrXRYrd3cbQ/u1kfq6NegAkb4Gp7BN3HneSw+dIWt57LAuGwwGvIxoETd7u8XReJwAl9DdEzLquhBNUSZ02n/Ld/zr2ZNFABUs3csGBu9gCzYuRKaJjwR/s6lNKZ8Y/iJsITQ9EQLN6cLutRG02rF5FL/RT23nrxG3Sn79eacHdcUebJnkR2f52/7cfPxa6aXijXL7gJSSAxokgHnSaF48ILv9Liqhxs8KxYSxRa5M0j2nr+Hn1ZEMeylC+ZAxAhvUWzRopDA3Rew4GAig97WqSRmdKipRVMIsxkMCJvB+LWogp71bA2WOGNvPP7cx18hbla9GOZ2rm3weppoPgPHEh+iwwK+KV6+HFkQM9bwTs6mIOix7AT2UQ3Rz1JH+29TnirLW0MBQMvzqSYsoheQJtykOpDmngjLZZCwPtVv3zigg0sZudR/Uc/Fu8/hM+ug3pzEwObIqECTErkzbVThAAJBDBADZjMgzLLe3NcDtcuKk2XddclxhMfzHYZHNrNH7/rmdxj+nNFbo29iyPoY9nOV4nkR9HM9sznSqoC/9l3C73vjGfzGVYpiUVf1ZfprlV+t4BZ+H8zs4Ig2TobXclt4MBEBuy8wc+tVLISVPdy0Yr5F4AyLS0L3ZSeYLSXyZceRkY0kta3f6pPYffYu0zGoUUUMbVJJUp1aEk77by15SzqsFACUjluS/AUG6AVEj4cpDHRcEImjiXxqv7EnwqboNGWNcAP5P1979G0g3QbSGIwnrz3CN3OPsiW5s2VG7HgfY0SINleYaTOxdXV0cS8rmnwSRAwQA5bHwKdPn2A3OghcPdPUsWuQJ6qVyCeKsXI3oVgZeQ1jtsUy7C7lCmBjH8O7nYpitIqELD18BeN3nGeI3G0LYl0vDxUhJChyMOASEIr7z/ks32XdXdCgchGDVa85dh2jtp5l853K5MfWfnUNXk8TzWdg55nbGLAmmgniamFzNbGlHEPXn8aW6FtMRW8vW4xsXkVKlZqSTftvTblLMrAUAJSMWhL8JQboBUTPhykM+Mw8iIv3nrOlxp4Im6LTlDVD1p/GVp0PkF5ethilkg+QAxeT0G0pfyJbLG92RI6S9kT2cxwKA6W/NrNHHwkzbUzxJa0hBogBdTGQVgdxrhs81xVejDFiUww2RPFNKLrXLYexX0nXPGBe+GVMCYpj0BtULoxl3V3FMEWTMjZG3cDwTWcY9uol82LnQOvNiNSkE80EzQX5K44OwnudIP+OAZ5wKGV4kH/76Vv4ed1phqRS0dzYM0Ta4JOZZlvc8g0nbmDEZv5v2bFUPmwf4CmpnSO3nMHa49T85XMk0/5b0sdPM8IpAKgZV1kWUHoBWZY/5bJGWPdp+Y+uqF+psFzqDdYzYcd5LDnMF5/+tnYpTFNJ8WklTmQ/R5ww02agtx2GNa1sMM80kRggBqyPgaev3sFxgn4jo8iRjVAsX3ZRyBi/4xyWHr7KZLV3LoWp7aRrHjA95CJmhyUwfS1qFMecTrVEsUWLQoJj76LPqpMMelmbnAgf3lCLphBmExlIq1nZ4V+9UTK/4c3K9l24hx7L+dqa3FpOBg35GBBm83rY2mBtL3dJAYz75xyWHeHf32qtFS4pCV8QTvtj9bW/AAAgAElEQVRvpZhXl14KAKrLH1aDhl5AVuNq0Qz9+PETKvrpX/vaOdAT1UsafiIsGph0BP23hlERLOrqIpf6L+pZd/w6ft3CX4upWTo/tvVX5lrM/zadwfooOqlVxYNBIIgBjTBw92ky3Cfv00Mb498U+XKK08jo9z0X8dd+nYCcQ3HM+V66gBxtWPUfvMMJD/D9omPsP9rkyoqTVtwVWSN/lqLCvPLgJRpOP6An88IEX+TImslgPZGJD/GdzA0oDAZnJRPnhCVgWshFZm3jKtJ/C3PZ1FxWdepo41QSM6mJEOOD9t9W8seXjpkUAKTnQBEG6AWkCO2aVvrk1VvUnLBXz4Yjv3qjhBEnwnIRsCryGvx0ajrVKpMfW1RSe2ZRRCIm7VJHYWxhpmS72qUwXSWZknI9K6SHGCAGjGMgreDAxUm+yJbZ8ODAlzQKr+RyWeZctrlUY/jGGGw8yV857uFZHmNaVpVKnerlnrn5BF/PPsxwZs2UEfEBzVSPmwCKx8DJa4/xzdwjTGCOLJlwYaKvUQpibz1Fy78OsTWZM2bApYBmyJAhg1FyaLLpDEwLicOcMD4Y97VjCfzZ0cl0gQasnLk3Hn9Q9+fPMkX7bwMeIiuYQgFAK3CyGk2kF5AavaJuTJfvv0Cj38P1QMZN9EX2LOJs+sS0fvfZO+i3+hQTaVsoF/b/0kBMFSbLUtPHkRCLb7VimNeltsm20UJigBiwfAbO336G5n9GMEO5BuaXA5uLtrEXNuVwLlsAm/pK15Sj76qTCIqlrpWpDk28/wLegn/rxQzwWv5fiPYt3Hv+Hn5aYd713asPXqKBIItQrd+M2vdY2hYIs5s7upbG5LY1JDV37oHL+C2Yr6nasHJhLLXimqpCsmn/LenjpxnhFADUjKssCyi9gCzLn3JYc/zKI7Sfz3evzZU1E85NMO5EWA6cnI4jlx+g00L+ClP+nFlw2r+pXOq/qGfizvNYfEgd9QmF2Yh1KthgzU/S1odRhRMIBDFADJjMgDA7SOx/C7ZG38SQ9TEMn32xPAge7GUy3vQWdll8DBGXHrBpo5tXwU9etukts9jfk54nwzVA/4r3Sb/GsMmdzWJtJsP0GVh/4jr+t5kvVeJQMh92DDSueQTXQZjrJKw7ovwaoxA9R7I9bsKGSj/WLQ//r6TNbl5y6Aom7OS7iNN3pb67af8t2+OvakUUAFS1eywXHL2ALNe3UlkWHHsHfVbxWXWlC+ZAxAh1FnSOu/sMvrP4DBXuxklCQHNk4lJVFB7CuntSd7j8krkbom5ghE63R1M+8hWmk9QTA8SAzAwIa8QVyp0VUX5NREOx59xd9FrJN6GQ+t+atn8fxqnrTxj+wDYO6ORWRjR7tCYo+d0H2I8J1oN94JcGKCdSl2et8WGNeIVZXKZcw3/99gOq+Os/R+HDG6CsjTjdwq3RL8ba3H/NKew6c4ctk6PR25pj1zFqKx88VlMJHmP5k2I+7b+lYFV7MikAqD2fWQRiegFZhBtlNWL1sWsYvTWW6XQsnR/bFWpekZ7hSc+S4Rqon8FwakwTFMyVNb2lkv8u7Lw7yNsOQxXqvCsM6pazyYkD1O1R8meAFBADWmZAeD1Q7ADdkYQH6KTThIJ7b3Pvb6lG05nhiL/3gon/47uaaFWzpFTqVC/306dPqDg6CO8/fmJY1drwS/VkahRgwK7zWBjB31Ro61QSM4xs5MA9RxVG7YbOY4RdgzxRrYT6Gsdp1E3pwu6+9DjCLt5n8/7na4++DSqku86cCXJncJuDVYm1tP9WgnX16aQAoPp8YhWI6AVkFW4W1UhhZ11v+yJY0k0dnXWFhr59/xGV/IL0/nPo0PqwK5JbVE5MEfbDkuM4GM9/kI1qbo9eXtJ+kH0OpzCTR+qNtil80RpigBhQFwP/xNzGoLXRDFSlormxZ0h90UDG3HiCVnN0mlBkzoj4SdI1oag7ZT9uPXnN8C/p5gxv+6Ki2aNFQU4T9uDxq3cM+tqf3OFRwUaLphBmExgYuuE0tpy6xVaa2hinxrgQPEt+z+Ss7+UON1t6jkxwiUlLuLI9XPme1DGhVTX84FHOJFmGLgo5dxe9dTK4y9rkRDgdLDP6aP9t6JNk2fMoAGjZ/lWtdfQCUq1rVAtMWEz429qlME3FHWOrjw3Bizf8h+fGPh5wKVdQcX7VdN3s7M2n+Go236UvS6YMKRtt6tKn+GNCAIgB1TKw4cQNjNh8huFzLJUP2wcYVx/sS8YlJL1A4xn6Dae47qFZMmWUhBPH8Xvw9DUf7KIgBVBv6n7ceMQHRRd0qY2m1YpJwj8JVR8Dwsyx4T6V0b+hndFA60zeh9tPk9k6Cq4bTaFZC1r+FYHYW8+YjOnfOqJd7VJmyUxv8aFLD9B5MV+Dm6v5yNV+pPEvA7T/pieBY4ACgPQcKMIAvYAUoV3TSrmMDy7zI3X0rm+Lkc2qqNYmtW5gfGYexMV7zxlvSl43oy59qn18CRgxoFoGlh+5irH/nGP43MoXxPreHqLhvfs0Ge6T9Us4nPZvgvw5xS/hQNdd03Zbsz8icOEOHziY0d4RbWtJGzgQ7QEiQWYz0Gr2IcTcfMrkTGnrgO9cja+L2WRGOC4l8dfr/+zohK8dS5iNjwQYxoD39ANIfPCSTZ77fS00cyhu2GITZwmbROXMmgnnVdow0EQTzVpG+2+z6LOYxRQAtBhXassQegFpy19qQNt50TEcSuA7JSp5ddUQPr6efQhndD5gf/vGAR1cjP+ANUSXMXPUdN3s0cu3qDVxrx7846MaoUje7MaYRHOJAWLAihiYF34ZU4LimMUNKhfGsu6uojHwPPkdHMbt0ZN36H8NUapATtF0pApKq+EFNSoAlLg6KLpzSaDJDHj+th83H/MZoPO71IaPCRmgreccxukbfIOdyW0d0NGEQKLJhlj5QrfAUNx79oaxsPxHV3ANXaQcaTXhuxzQHBlV0IRPSrsNlU37b0OZsux5FAC0bP+q1jp6AanWNaoFJswIkOMqgTlkdF1yHOE6tfbkKH5sCF5hTZwNvT3gWl6Zq8nvPnxMKfauO9RSK9EQLmkOMUAMyM/AzL3x+GPfJaa4WfVimNu5tmhAPn78BNtRu/XkhQz2QuVieUTTkSrowYs3cJ4UqieXu67GXVuz5tFj2Qnsi0tiFJh6BdSaOdSy7VX9g/Hq7QdmwqY+HnA2oYRKl8XHEHGJPzj2a1EFPevZapkaTWF3GBeC5zo1GE31ozFG33j0CvWmhuktOT/BBzmzZjZGjMXOpf23xbrWKMMoAGgUXTRZLAboBSQWk9YjR3iSuLSbCxraF1EtAUPWn8bWaL6IdW8vW4xsruyV5bS64u0eVA9VS+RVjEf7MUFIfveR6d/arw6cyhRQDA8pJgaIAXUzELj7AhYcTGQg29YqiRnta4oKupp/MF7qBCA2962D2mXFfy9defASDacf0MMeN9EX2bNkEtUerQkbvC4a207zJT/61K+AX5vZa80MwmsCAy/fvEe1sSF6K8N+aYDyhXIZLa3PypMIPneXrfu5UUUMaVLJaDm0wHgGuO9Nu9FB+KDThlmO7006VPmyr2j/bfyzbIkrKABoiV7VgE30AtKAk1QEkfuQ4LrqvvvwiaHa3r8uHEvnVxFKfSjjd5zD0sNX2X9UQ9OSV2/fo6q//od1xIiGKF1Q/KtthjrGNSAUSc/lvSJiKDaaRwwQA+pjwG/bWayKvM6Afe9WBgFtHEQFKnwvrfjRFV4SXF07df0x2v59hGHPniUj4iZK13FYVJIkFCaHjyWET6LNYCCtoPi58T7Ilc34DK5hG2Kw+dRNhqanZ3n4taxqBjpaaigDSpU3eP32A6r4B+vBPDi8IcrYKPedayhncsyj/bccLKtfBwUA1e8ji0RILyCLdKtkRj1LfocagppMSgeu0jP2r32X8PveeDatcZUiWNTVJb1lkv6e9CwZroH6xe2jxzRBgVziF7c31JBGvx/A5ft8kejZnZzQsgYV6TaUP5pHDFgbA0PXn8YWibOr5Spev+/CPfRYHsVcWCJfdhwZ2cjaXPofe7kaj1ytx9TRqmYJ/PGdk9XzYg0EHEt8iA4LIpmpubNlRux4H5NMH7s9FsuPXmNrO7qWxuS2NUySRYuMYyDNGs+jG6FIHmlrPHMJA1wJh098vgCCfq6HKsWVu+liHHPSzqb9t7T8akU6BQC14ikLw0kvIAtzqMTmpNUtVu01PVZFXoPftljGDJetyGUtKjku33+BRr+H60GIn9QMWTNnVAwWFelWjHpSTAxokoFeK6Kw5/w9hn1I40r4uXFFUW356q9DOHuL70I6rV0NfOtcWlQdnLCNUTcwfNMZJrdaibzYNaie6Hq0JnBOWAKmhVxksBvZF8HibsoeoGmNQ63i3RFzGwPXRjP4toVyYf8vDUwyZ2pwHP4+wAeSv3Isgb86UiDZJDKNXJRWLT5TMzmNVA25SjgYi0sN82n/rQYvKI+BAoDK+8AqEdALyCrdbrLRJ689xjdztXVNKiwuCd2XnWA22+TKipNjmpjMgRgLY248Qas5h5mobJkz4uIkZa+b/bDkOA7qNEsZ2cwevetXEMNckkEMEAMWyMD3iyJxOOEhs0yKwv7fLTiKyMRHTMe4r6qiW93yorO54OBlBO7mOxrXq1gIK3u4ia5HawJXHL0K/+3nGGzXcgWxoY+H1swgvCYwsPjQFUzceZ6tdCtfEOt7m+b7vw8kYGowH0j2ti+CJRRINsErxi+5ePc5fGYd1FuYGChPN16XgFDc1ykts7KHK+pVlLb7sPEMKbOC9t/K8K42rRQAVJtHrAQPvYCsxNEimbnn3F30WnmSSSuZPwcO/+otknRpxCQkvUDjGfrZdtw1Fu46i1LjcMIDfL/oGFNfKHdWRPkpG5Tsv+YUdp25wzANaGiHX3wqK0UR6SUGiAGVMyBH1nDP5ScQekH6LrTCq65fO5bAn5ShhK3RNzFkfQx7Ernre9w1PhqWz8DkoAuYH843+TEna48Cyco9L8L6pjmzZsL5Cb6yAGowLQxXH75iuuZ1rg3f6sVk0a12JbT/VruH5MFHAUB5eCYtAgboBUSPhDEMrDl2HaO2nmVLHErmw46BnsaIkH3um/cfYD8mWK8Oya5BnqhWIp/sWFIVBsfeRZ9VfCC1nE1OHBjeUDE8nOKRW85g7fEbDMMPHmUxoVV1RTGRcmKAGFAvA01mhONS0gsGkAuYcYEzMcfP66KxXacLbd8GFfA/X/G70P5v0xmsj+Lff93qlMO4r6uJaYomZe09fw8/reBrI5YumAMRI9R96KdJolUIWljjs4dneYwxsXHH5pM3MWwjH0iuWjwvdlMgWRavH7r0AJ0X6x44Z0OUX2NZdDf7IwIX7jxjumZ2cEQbp1Ky6Fa7Etp/q91D8uCjAKA8PJMWCgDSM2AGA8ITYd9qxTCvS20zJMqztM7kfbj9NJkpm9e5FnyrF5dHeRpaNp28iV90Poarl8yLnQOVzaqYvPsC5h/kT/vbOJXEzA41FeOIFBMDxIC6Gag7ZT9uPXnNQC7u6oxGVYqKCpo7cOIOnlKHVAcTXJCLC3alDinqGYpKjEzCjl5+iI4L+UYQ+XNmwWn/pjJpJzVKMiC84m9OWRDhoWdZm5wIV/jQU0lu5dQdcu4ueuvc3JGT+3ZzjyDq2mNm7qTW1dHZvayc5qtWFwUAVesaWYFRAFBWuklZKgP0AqJnwRgGeq+MQsg5fpPUp34F/NpM/GwMYzAZMrfD/KM4doWvI2XOh6wh+tKbs+zwFYzbwdfWcbctiHW9TKutk54uQ3+fvf8Spu9RV7dkQ7HTPGKAGJCfAcfxe/D09TumeF0vd7jb2ogKJHD3BSzQOZhoW6skZrQX/2BCuFGd2KoauniUE9UWLQqLvfUULf86xKBnzpgBlwKaIUOGDFo0hzAbwYAww9ec7K3/ZqEpX/bECCo0PXVb9C0MXn+a2SDnNX5hbelRze3Ry4tqS3POoP23pv+sRANPAUDRqCRBxjBALyBj2KK5vrMOIu7uc0bElLYO+M61jOqJGbEpBhuibjKcndzKILCNg2K4/xtsK4pFXZ0Vw8MpXn7kKsb+Q8XeFXUCKScGNMRAxdG78e7DJ4Z4xwBPOJQSt7TCH6GXMDOUP5jwqVYU87uI/670/v0AEu+/ZLbM7uSEljXEvc6sIdcyqNcevkT9aQf0oMdN9EX2LJm0aA5hNoIBYYB/dU831LUrZIQEfurpG0/A1QxNHWpofGaSIRpctCryGvy2xTLktcsWwOa+dWSxpM/Kkwg+d5fpGty4IgY3riSLbrUrof232j0kDz4KAMrDM2kRMEAvIHokDGXg06dPqOIfjOR3H9mStT+5w6OCuBkfhuIxZt6csARMC+E70Cnd4VF4lVoN122Fxd7ti+VB8GAvY2imucQAMWAlDHC1VSv7BetZu39YfdgWzi0qA4siEjFp1wUm09OuEFb1FL87r9OEPXj8is9mXNPTDXVMDHaISoDCwh6+eIPak0L1UBwf3QhF8mRXGBmpl5KB5Hf/1k7WHXuHeKFi0TwmqU1Ieo7GM/Q70SYENEPmTBlNkkeLDGdg7oHL+C2Y73DeoHJhLOvuargAM2YO3XAaW07dYhJ6edliVPMqZki0nKW0/7YcX5pjCQUAzWGP1prMAL2ATKbO6hbee5YMt8B9enYfHemN4vlyqJ6Lf2JuY9DaaIazTMGcODhCuaYbo7eexWqdulZd3MtiYmtlG26Enr+HnjrF3rXQ4Vn1Dx4BJAYslIHHL9/CaeJe/cDQqEYoklfcwNC649fx6xa+8VTN0vmxrX9dUVn98PET7Ebv1msUxXW65a7KWfuQK9Br7Tyrzf4bj16h3tQwPVgx/k2RL2cWk6DeefoaHpP3iybPJBBWumhaSBzmhF1m1pvTzdlYCsdsi8XKyGts2fduZRCg4O0bY/FLOZ/231Kyqx3ZFADUjq8sCim9gCzKnZIacyzxITos4IuBc1c4LkzwRcaM6q8FFHPjCVrpXD/JlDEDLk70Vez0WdjZUg21FI9feYT284+yZyhP9sw4O85H0meKhBMDxIA2GUgrQBA73ge5s2UW1aAdMbcxUOfwpmKR3Ng7tL6oOh69fItagmDmsVGNUFTkYKaooGUUVskvCG/f85n//wyoixql8suIgFTJzcDJa4/xzdwjTG3WzBlTvplMrf34LPkdaozbo2fG4V+9wR000pCWAf/tsVhxlA/CdXQtg8lt5SmBI2wu19apJGZQc7kUh9P+W9rnXivSKQCoFU9ZGE56AVmYQyU0Z/2J6/jfZj4To3LRPAgZoo0rok9evUXNCfrZKgeHN0QZm5wSMvZ50T2WncC+uCQ2YbhPZfRvaKcIllSlF+48Q7M/IhgGrsb75YDmmgjwKkocKScGrJCBuLvP4DuLf19wFCQGiv++CItLQvdlJxjDJfJlx5GRjURlPCHpBRrPCNeTeXGSL7Jlpjp3HCnOk/biwYu3jB9zasGJ6jgSJhkDwbF30GfVKSa/dMEciBjhbbI+Lsu2wqjdeuv3DPFCJROvFJsMxAoXDl1/Glui+Wu4vb1sMVKma7hy1XDVoltp/61Fr4mP2SICgNeuXcOff/6JXbt24caNG8iWLRsqVKiA9u3bo3///siZU5zNdlBQEBYsWIATJ07g/v37KFy4MFxcXNCrVy80a9bsi9558+YNoqOjU9YeP3485X8uXboErr4ZN1L/t6EuNsfmAwcOoGFDw64hjh07FuPGjTMUlsHz6AVkMFVWP5GrIcLVEkkdTasWxYIfxC/GLgXR3N91jfF78Dz5PRO/socr6lUsLIW6dGVymXZcxl3qGP91NXSto2zHyZuPX8HzN/0rP2fHNUWe7KZd+UmXBJpADBADmmVAmCGUM2smnJ/gK7o9wszkvNkz44zImcknrj7Ct/P47Gcui5HLZqTxLwMNpoXh6sNXjI55nWvDt3oxoseCGRA2BROjcURV/2C8evuBscY1ouDk0pCWgZ9WRGHv+XtMybAmlTCwUUVplf6/dGENV6Xrb8titIFKaP9tIFEWPk3zAcAdO3agc+fOePbsWZquqlSpUkpg0M7O9CyXjx8/pgT5Fi9e/NnHoWfPnpg/fz4yZky7sGz37t2xbNmyz643JgBors0UALTwv2oLM6/f6pPYfZbv5qW1Yr4t/4pA7C3+/RTQpjq+dyuriJea/xGB83d4LL9/64hvapdSBEuqUrqioyj9pJwY0BQDB+Pv44clxxnmwnmy4cToxqLbcO72U7T48xCTy5Vv4JoHmHoVMS2AIefuovfKk+wnc7OdRCdBYYHCfzuntauBb51LK4yK1EvJgLBuXLPqxTC3c22zVLoEhOL+8zdMxoofXeFVSZlDWLMM0dji7xYcRWQif+A89quq6F63vCxWrD52DaO3KtOBWBYDzVBCAUAzyLOgpZoOAHIZdXXr1sXr16+RO3dujBw5MiWzjfv/161bh4ULF6a4igsCRkVFIU8e07pIcXKnTJmSIsvJyQkjRoxIyTC8fPkypk6dmpLZxw1uXmBgYJqPR7du3bB8+fKU3zgctWrVwsWLF3H37r+BDUMDgGLYrBsAXLJkSUoW4+dGkSJFwP2P2INeQGIzarnyhEErJQNoprDcf/Up7Dp7hy2V8xqEEG/9aWG4ppNRMb9LbfhUUzaj4iN3RUdQCD94cD3YF6NC+KY8b7SGGLBkBoRXBMvZ5MSB4YbdaDCGl2sPX6L+tAN6S7jaszmyinc9V9hoxLFUPmwf4GkMTIue23FBJI4mPmQ2yhlAsGhiVWzc8I0x2HjyJkPY1aMsxrcyr1FZw+kHcOXBSyZz7ve10MyhuIpZsAxowgD+9G8d0U6mA+dt0bcweP1pRqR9sTwIHqyN0kFSe5/231IzrA35mg4Aenl5ISIiApkzZ8bBgwfh4eGhx/q0adNSgnXcMPUqa3x8PKpVq4b379/D2dk5RU+OHHzx2FevXqF+/fopAUYOx4ULF9LMNly/fn1KYJILtlWpUiUlU7BBgwYID/+3/ouhAUAxbNYNAIaFhaXgkHvQC0huxrWpj/u7qD42BC91rm9orQ7QlKA4zAvnrzD7ViuGeV3MO9E21Zu1J+7Fw5d8TaU1Pd1Qx66QqeJEW+cwNgTP3/DXpDf28YBLuYKiySdBxAAxYBkMbDp5E79sjGHGVCuRF7sG1RPduAcv3sB5UqieXC7TkMs4FGv8fSABU4MvMnENKhfGsu6uYonXvBwlrxBqnjyNGtB1yXGEx99n6MWoU0yZpMo8DMIDZzmv8O85dxe9dLKryxTMiYMjxD8oUoZZ87TS/ts8/ixltWYDgFwNPTc3txQ/9O7dG/PmzfuPT7iru9WrV08JyuXPnx9JSUnIksW4ulL9+vXD3LlzU2QfPXoU7u7u/9ETGRnJgo/c/Dlz5hj0fBgbABTLZgoAGuQemqQCBpKeJ8M1YJ8eEq11cFt7/DpGbuGbmFQtnhe7fxZ/w5qeu7hgKtdV8d2Hf+uOckMtXRXrTtmPW09eM1yLuzqjUZWi6ZlEvxMDxICVMbDi6FX4bz/HrHYtXxAbeusf/opBSfK7D7AfE6wn6sAvDVCuUC4xxKfICNh1HgsjrjB51KlSn9qhG05jyym+iYDWyn+I9qBYkSCuIRjXGCx1TG1XA+3NvPYtvIo67quq6CbTVVQrct1/TFXywPnQpQfovPgYw1QodzZE+YlfKkKL/qUAoBa9Jj5mzQYAR40ahcmTJ6cwwgXgUoOBQoq4q7vc1VxuhISEoGnTpgazyG2YS5Uqhdu3b8Pe3j4lkPi5wf3OXektWbJkSiMSQ+rEGBsAFMtmCgAa/AjQRIUZEBZJz5o5I+Im+GqqQ+yRhAfotIj/EOFsiB3nA+5/yzmevnoHxwl79FQe+l9DlCogTpMkc2zxnXUQcXefMxGzOtREa6eS5oiktcQAMWCBDAiz5hpWLoylEmTNcd9/dqODwHURTR07B3qiesl8orE6bEMMNp/irzv28CyPMS2riiZf64LGbo/F8qPXmBkdXctgclsHrZtF+L/AgLDz87LuLmhQ2bwyRD2Xn0DohSSm9ZemlTDAW55mFNbs7Eqjg/D2w0dGgZwHzqeuP0bbv48w3VI1i9KifykAqEWviY9ZswHA1KuwuXLlwpMnT1Ku36Y1uKy9OnXqpPzk7++P8ePHG8xiYmJiSq0/bnwuyzBVGPc71yGYG9y68uXTL3RqbABQLJspAGjwI0ATFWZgY9QNDN90hqGwK5IboUPrK4zKOPVpBd629KuDWmXk7UKXkPQCjWf8W3IgdcRN9EX2LOLVtDKOGX72t/OO4MTVx+w/TGxVDV08lO1ObKottI4YIAakY0DYJKBljeKY3amWJAprjAvBM50O7ut7ucPN1kY0XT8uO4H9cXxgQozrjqKBU4Egoa+/ciyBvzo6qQAZQZCCgfcfPqKiXxA+8TF37B5UD1VLmFcP+Od10dh++jaD3Kd+BfzazF4KE0jm/zPw5v0HVPbTz6AO+6UByouYQf0lsi/efQ6fWQf1piQGNtdU8oBUDxMFAKViVltyNRsALFy4MB48eABHR0ecPs0X+hTS//jxYxQs+G8tqW+//RYbNmww2EM7d+7EV199lTJ/5syZGDx48GfXcr8PHTo05Xeu63Dz5s3T1WNsAFAsm3UDgFxwlHsZcM1IcubMiXLlyqXUBOzbt29K8xSpBr2ApGLWsuRODrqA+eGJzKjGVYpgUdfPN61Rq/VNZ4Yj/t4LBm908yr4yctWVrhHLz9Ex4WRTGee7JlxdpyPrBg+p6zHshPYRxthVfiCQBADamZg3D/nsOzIVQaxg3Np/NauhiSQ60zeh9tPk5nsJd2c4W0vXmmC1nMO4/SNJ0x+YBsHdHIrI4ktWhTK1c7lauimDqqRqEUvGo75ztPX8Ji8X28Bd22Tu5m0jqMAACAASURBVL5pzhi19SzWHLvORHRxL4uJrc1rLGIOHmtY+/DFG9SWuIbql3i88egV6k0N05tyfoIPcmZNO1nIGnySaiPtv63J25+3VZMBwOTkZNaIo0WLFuACdV8aXIfgly9fptTv4zICDR1cXUEuEMaNjRs3ol27dp9dumnTppQAIze4dVxGYHrDmACgmDbrBgA/h5FrUjJmzJiU5imGXGcWyuFeMF8ad+7cgavrv8WuuSvT3FVrGsSAkAFhZli/BhUwwld7J7dcDUCuFmDq8KlWFPO7OMvq8B0xtzFw7b8dy7lhWzgX9g+TvwFQWkYPXheNbTon9L3r22Jksyqy8kPKiAFiQP0MCLuE/li3PPy/kubarNSlCf5bJL8WfKtTd9LUp5AL2nDBm9ThWDo/tvevq/6HlBCaxMDJa4/wzVx+j5Y1U0ZwtxQyZsxgkrzURYG7L2DBQf4gmWptmkWnQYuvPniJBtP1u6jLeeNE6QCkQSQpNIkCgAoRrzK1mgwA3r9/H0WK/FsTokOHDli3bt0XaS1atGhKAxCuIcjZs/zHRHq+0O0iHBQUBF9f388u4X5PzfqbPn06hg0blp54o7oAi2kzFwDs1KkT2rZtC09PT9ja2qZcob5+/XpKMHXFihV49+5dCn6ufmJgYGC6tggnGBM0pACg0fRaxQLuCoHDuD14+56vIbK0mwsa2ptXD0YJ8jafvIlhOp0rC+XOCq6jpDF/J+biXnLoCibsPM/ESFU83xScY7bFYmUk1XoyhTtaQwxYEwP9V5/CrrN3mMkDve0wrGllSSgQNg/wb1kVP3qmX97FUDAO40LwXMIrxobiUOs8YSfPkvlzgGsCRsMyGdh++hZ+Xsff6CpnkxMHhpvfufXPfZcwY288I61p1aJY8IO8B7CW6bHPWxV76yla/nWITciSKQPiJzWT7Zs3rSZO4cMboKyNeE2ctOpTCgBq1XPi4tZkAJALGJUp8+81iS5duqQErL40uLncGq6eX0JCgsEMTpw4MaVuIDf27dsHb+/Pf3js378fjRo1SpnLrfPz80tXjzEZgGLazGVDZs2a9bMdkbluw1yzlKdPn6a8rKOjo1OuWhszjAlsUADQGGatZ+7Ja4/xzVy+iC9neYx/U+TLaVwnbzUwdu3hS9Sfpn8aKnZHyfTs/C04DnMPXGbTWtQojjkS1c5KD4vwdznrehmLjeYTA8SAehjouuQ4wuPvM0BcLS+uppcUo9/qk9h99i4TPcjbDkNFCja+4+qdjQ7Sg713iBcqFs0jhSmalBl9/THa6BTy5xpnXZzoK1sQQZOkaRi0sMFPXTsbrO7pbrZFiw9dwUSdw886FWyw5ifz5ZoNzIIFHLn8AJ0W8s3vCuTMgmh/w5twmksN18TJdtRuvXqSQT/XQ5Xi5tWTNBeXGtZTAFANXlAegyYDgGJmw33JBZaaAWjIY7dq1aqU4Co3evbsiYULFxqyjM2hK8BG0UWT02BgwcHLCNzN1/+pXDQPQoZ4aZIr7mPEJWAfHrx4w/BP/9YR7WrLd/VdeHWuW51yGPd1NVXwKaz1VL9SYSz/8d8SATSIAWKAGEhl4D8Ng1pXB1fTS4ohrB3W2b0MJrUWpwtt0vNkuAbs04MtRr0zKXhQSubNx6/g+Zt+Ha+YsU2RL4f2DgGV4lBLekdvPYvVOrX62juXwtR2xiUfpGXv+hPX8b/NOlfJS+XD9gGeWqJGc1iF2btlCubEwRHmZ3MaQ0T1sSF48eY9W7K5rwdql/23J4A1DwoAWrP3eds1GQAUsx7elx4DS60BaMij//79e9jY2ODZs2eoWLEi4uP59HlD1qc3h15A6TFEv/daEYU95+8xIrji6FyRdK2OPitPIvgcn03S0bU0JreVpnh9Whx1W3ocBy7ymTNq6jgprPVUs3R+bKNaT1p91Ak3MSAZA83+iMCFO8+Y/BntHdG2ljQHKdNDLmJ2GH9rRMys6bS6VCYENEPmTBkl405rgtO6xrdvWH1UKJxba6YQXgMY6L70OMJ0vlGGNK6EnxtXNGDll6fsPHMbA9bw9Y8rFM6FfSqpf2y2cSoVICx7U7V4Xuz+uZ6saF0DQpH0nD90X/GjK7wqFZYVgxqV0f5bjV6RH5MmA4AcTYUKFcLDhw+tqguwHDbrPoIuLi6IiopK6Q7MXRsWc9ALSEw2LU8WlzHnPCkUD1++lWWjJweDiyISMWnXBaaqYpHc2Du0vhyqU3S0/CsCsbf4jfPUb2qgvUtp2fR/SVFw7B30WXWKTRGr9o8qjCMQxAAxIBoDwsYZ87vUhk+1YqLJ1xUkfGeLeXVQeEWOy2rjstto6DNQY1wInunUSVzXyx3utjZEkwUy0HRmOOLvvWCWiXVLIuxiErovPcHkFsubHZGj/i3ZREMaBpYfuYqx/5xjwt3KF8T63h7SKPuM1AbTwnD14Sv267zOteFbXZp/K2Q1zExltP82k0ALWa7ZAKCXlxciIiKQK1cuPHnyJKWJRVqD6/pbp06dlJ+4en7jx4832HWJiYkpdQO5wXX15TICPze43xcsWJDyM7eufPn0C0UbUwOQkyuHzbr2cV16T5w4QQFAg58YmigWA4n3X8D793A9cREjGqJ0wZxiqZBdjrCeEQfg6EhvFM+XQxYsboGhuPeMPw1d0s0Z3vZFZdGdnpLIxIf4bkEkm5Y3e2acGeeT3jL6nRggBqyMAedJe/HgBX8wtKqHGzwrFpKEhS2nbmLohhgmm6sfxdWREmNsOnkTv+g0hpL7QEgMG+SQ0ej3A7h8nz+A/qujE75yLCGHatIhIwPcoS93ZfPl2w9M69qf3OFRwfxgb9TVR2g3j+8unDtbZsSOp+8LKd07JywB00IuMhWNqxTBoq4uUqr8j+zmf0TgvEzZ4rIaZqYyCgCaSaCFLNdsAHDUqFGYPHlyihsiIyPh5uaWpkumTJmS0smWGyEhISnNLQwd3D9IpUqVwu3bt2Fvb48LF/jsHaGMKlWqIC4uDiVLlkxpOGJIEwxjA4By2JxqF3cFmMs45BqB2NnZ4dKlS4bSZtA8egEZRJPVTtoQdQMjNp1h9hfJkw3HRjUy6O9KraRx3YxrT9qr1/XRr0UV9KxnKznkjx8/oaJfED58/MR07RjgCYdS+STXbYiC+HvP0XTmQb2plwKaIQtdhzOEPppDDFgNA/ZjgpD8ju8Mv7VfHTiVKSCJ/WFxSei+TJrMoZl74/HHPv67ytu+CJZ0k3eDLAlpIgvtMP8ojl15xKSK3YlZZLgkzkQGnrx6i5oT9uqtPji8IcrYmH/oy5UM4EoHpI4MGYDEwOaa/p40kWbZlk0OuoD54YlMX+uaJTDrOyfZ9HOK5KwXK6thZiqj/beZBFrIcs0GALlOtalBv89l5338+BHVq1dPCdzlz58fSUlJn+18+zl/9uvXD3Pnzk35mcsmdHf/b+coLgDp4fFvajM3f86cOQY9HsYGAOWymQO/evVqdO7cOcWOHj16YNGiRQbZZOgkegEZypR1zhu2IQabT91kxjd3KIa/v6+teTKEdjmVyY+t/epKbtejl29Ra6L+x3XkyEYoli+75LoNUXD/+Ru4BITqTT0xujEK58lmyHKaQwwQA1bAAHeAUWHUbj1L9wzxQiWJOueevvEEreccZvqyZc6IOJG60A5dfxpbom8x2V09ymJ8q+pW4EXjTByw5hT+j73rAKvi2MK/NBV7L2BvCIKAKIiIogjYYtfEEnuNJpaosSu2RGMvsZcYSzT2hihKUxF7Aey9iw0VEcW8b24eu3eXC9yyd+/u3pnve9+L3Jkz5/yzd+7OmXP+s+/SE2bQwIaVMDrIQTchtLfkEbjy6C1aLIpm9CROumtTm4JUfja0PXiVjPqzuMVk4qYEIk9OzZljhs5HxwP8gi6kUNPU1uLub9+viUWkWsX4sc0c0M/XOBXj5bTm9Pwtp9Uynq6ydQASSNJTYkn6b2RkJOOES4dLvYrvpEmTMHnyZA6S4eHh8PP7rypR9+7dsW7dugxIk+IXjo6OSEtLg4eHh2qe3LnZlL2PHz+q9CBceUSP+Ph4VdEMbZquDkAhbH79+jUuXrwIMndmjTgaAwMDVanVJJKRpAHXqiWs84VuQNo8IebZ53PaVxX/39uPnxkAJrV0RM962afVSx0xPhcN0Td6tB/sCxl+y52V7ZoI56UUYUfWvMq4gxwTDg/zRRUjHeyl/pxQ/SgCFIGMCCSlfIbL5FDOB8d/aQS7gsahUbj38gMazA7nzBcfHAhbG8MdB/zoFLGiweX2XE3ZG4e1x+8yarevZQ/CDUebshA4FPcU/TecZYwSkqdP0wVo7NjGKJ5fGhegylrJ/6z5cfN57Ln4mDHNFI77gX+dxcErbOG9nxpXwbAmVZUIt0420fO3TnAptrOsHYDnz59HvXr1QJxwefPmBUmRJQ498u8tW7YwnHxVq1ZVOejy5cvHWUhtHIBkAEkhJqnEpLm5uWH06NEqbsBbt27ht99+A9Ejvd+MGTM0PixPnz5FSEgI5zMi89q1/zgS1q5dy/nMx8dHlXrLb4bafPfuXRU/oYuLC1q3bq1y7JUqVQqWlpa4f/8+9u3bhw0bNiA19T+OnZEjR2LWrFmCfwHoBiQ4pIoRGHH9BbqvieXYY8xDnpjAEUcXiXR7k8w6N8c0dUD/Bsa9lTx+MxFdVp1iTC1ka43zE7WnQxADI+fJhzjp0X/384InJXsXA3o6B0VAFgg8fZsCr5lhHF0vTGyCgrY2RtHfmA5HrxlheJqUwuhtzGImRgFHJKFLw29iVgjLJdagajGs71VHpNnpNGIhsCb6DoL3xTPT1SpXCNsH/sffbmj79CUN1cZzz19HRzRARVpN2lBoMx3fa91pHL36nPl8VFA1DGqY8UxrNAUA8DNu+tavgHHNHY05pSxk0/O3LJbJ6ErK2gFI0Nm7d68qVTUpia1uqY4acf7t379fozNNWwcgSSXu27cv1qxZk+mCkDRZUgTEwkJzuLr6XNqsKnEI9ujRQ2NXQ2xOdwBmpwNxCE6YMEFVOEUbPsPs5PE/pxuQroiZT//R/1zC32ceMAa7limIXT8YP01WLIR/2X4JW06z9jnbFcDeIT5GnX7X+UcY+vcFZg4pEs7zq3su6+qOoBqljIoLFU4RoAjIB4Gbz9/Dfy63OJQxI5kJDzSJTP6ixp26b4gPatgZxp2a8jkNDhO4DokDP9aHY+n88lkMkTTdduYBRqrxATuVzo/9PwpTiEUkE+g0WiAwbV88VkXfYXp+U7M0Fn4nHGdc1XEHkZrGcofuGVwPLvYFtdCMdtEHgQz8e62c0K1ueX1E6T1mwq4r2BBzjxnfxbMsprdx1lueUgbS87dSVtIwO2TvACTm37t3DwsWLFA5+siDbWNjo3L4dejQAYMHD1ZVsdXUtHUApo89cOCAyslHUmITExNVRTJq166tqhDctGnTLFdCSAegITaTyL49e/ao+AxJqu+jR49UtqSkpKBAgQKoVq2aKj24T58+KF/eeJs13YAM++IqdbSmCDml8XZE30hE19VsNB5ZS2Onu66MvI3pB9giRt6VimBT34x8pqZ8rgjXFuHcSm8z2jijs2dZU6pE56YIUAQkhMClh2/wzWKWk4/wg12flvW7l6HqEzqKxPds9fQNveugfpViBom99eI9GvOq3F+eHIB8uawNkqvEweHXnqPHWrYQCykIFjvOX4mmmrVN/HRNoVNG3YJD8Vot82JTX094VzJO9XCzXsj/Gx80PxJXn75joJjfyRWt3exEhYZfiKSNmx3mdXIVVQcpTkbP31JcFfF1UoQDUHzY6IyGIkA3IEMRVOb4qBsv0G01N/03apQfyhQ2LkeemGh+SfuqSmNLfP9fmj1pxiZInnkgAcsj2YpsrVxLY4HIFdmyw5ifMjIysBp+8BM3ZSQ7HennFAGKgOkQOHErEZ1Xiktl0GRuBG48f88YveBbV7RyNewgy3dqSZGSwXSrzJ2ZXxzC0iKHyulL/p825SDwzeJoXHr4ljFoWusa6OpVTjADfX47ioevPzLyVn7vgSaOJQSTTwVxEeDjvep7D/iLjPfCsBuYe/g6o1iAYwms+N7D7JeKnr/N/hFQAUAdgPQ5MAkCdAMyCeySn3TMjkvYHMumx9a0L4Ddg42bHmsKUGaFXMXS8FvM1LY2logZ2xj5jRQBwq842dunAia0kBYXyvCtF7DjHFsVs49PBYyXmI6meFbonBQBisB/CByJf4Y+f55h4LAvlBvRoxsZFZ6Oy08i9s4rZo7JLR3Rw8CCVBtO3sWE3XGMTBf7AtijwN85IRbmeVIK6szg8j6eGe+PonlphXgh8JWKjFpTD+PlB/ZSdG3P2vCrVlww9aQQkSaYMTIQVHNKKKeQ35Z+XvASmdN5VdRtTNvPZr7Ur1IUG3p7ygA946pIz9/GxVcu0qkDUC4rpTA96QaksAUVwJwPn77Ac0YY3n/6wkj7pakDBhi5QIYAquss4vGbj6g/6xjS1LiliEOOOOaM0bqtPoWoG4mSxpXPAdTW3Q5zO9J0DWM8D1QmRUCOCOy+8Ag/bWG5TKuVyIdDw3yNakr/DWdwKO4ZM4cQlSRnHEjACrWI7OYupbCks7tR7ZCrcBIxX2X8Qfz7L2vBwZ/qo3opypco1zXl6/0xNQ3VJ3I5MYWmRWn/xwmcufeamVroCEOlrIUQdhDu1MrjDnLeb/f/6AOn0oZxp+qq26ZT9zF252VmmHvZgtgxSDl84rrikd6fnr/1RU5Z46gDUFnrKRtr6AYkm6USTdGNp+5h3M4rzHwkwydqdCPYFcwtmg5iTjRo41kcuPyUmbJcEVscG9EQFkZIbeLffv/eoSba17IX09xs51py7CZmH2KrPfpVK4a1PWm1x2yBox0oAmaCAP83QowDHT8q/fu65RDcqoZBiA/YcBYhcezeTy65yGUXbZoR8Jh2mEOZ8WevOvCtahgPI8VaOghoKu4THxwIWxsrwZTsviYWEddfMPKUerksGGAGCEpO/QLHiYc4EiJH+qFsEXGpfPgXRg4l8yFkqHEvjAyATbSh9PwtGtSSnog6ACW9PMpVjm5Ayl1bfSwjN4ZNF0RxSIP9q5fAqu7K5es4dfslOq2I4cBlrMq3/APU+l510EBiB6jNsfcxZgd7W6u06s/6fC/oGIoARYBFgF/MSIyUrt9CruIPNbqGljVLY5GB1UmbL4xC3OMkxrDpbWqgi6dwfGdKe2b4F1hzOtREO4ldYCkNczHtIY454qBLbwVtrXFhYoCgKvyw8Rz2X37CyBzSqDJGBFQTdA4q7D8ENKXtn5/QBIXy2IgKUWjcU/TbcJaZs2xhW0SO8hNVBylORs/fUlwV8XWiDkDxMaczAqpqzWXKlFFh8eDBA9jbSysaiS6SuAicvfcK7f44yZl0Xc/aaCggB4y4FmU/G3F6NlsYjYQn7EHQsVR+kFSJHDmEIzgnacZVxh2AWraxag6x0zGyQyTkyhMM+Osc041EREaMpC9r2eFGP6cImAsC8w5fx4KwG4y5QU4lsaxbLaOaz3c6+lQuir/6GMYj5TL5EJJSWKoLISoLGxUEEwvnU1iMaeqA/gqkBjExzCabfkPMPUzYxWZ/GIMTc9Q/F7H1zEPGxp71ymNSSyeT2azkiTVFdN6Y3hTWlhaimn38ZiK6rGKLRhXJY4OzE5qIqoMUJ6Pnbymuivg6UQeg+JjTGakDkD4DPASGbjmPXRceM38lN3XhPxsnHVZK4PNTFIhuQlene5aUouJWVG+x4xqjeL5cUoIC/IjIfLmscHlyoKR0pMpQBCgCpkNg+v54rIy6wyjQzt0eczrWNKpC2848wMh/LjFzOJUmlzT19Z7zbfJn1AwO5Ywnv3Xli+bRW6bSB/KLWNECUcpacf732hicmFP2xmHt8bsMcB097DGrvXH3DmWtkvbWXHjwBq2XHGcG5LK2wNWpTbUXIFDPiw/eoJWaHjaWFrg2LUjQC3aBVBVVDHUAigq3ZCejDkDJLo2yFaMbkLLXVxfrSEEM31nH8EUtRM1cbvhJdF7AvAjcevGBgczZjlSErCfYS0rk9Rf4Xi29Jre1Ja5MCYSlEbgGdVl3ft8bz96hybxIzp9NcWtsiA10LEWAImA8BAhFAKEKSG9C8PFlp21YwjP0Xs9WHi5dIBdOjGmc3bBMP7/y6C1aLIpmPifbMDkc21iJGx2jtwEmGDjzQAKWqxVNaeVaGgu+dTOBJnRKYyDAL7QzqGEljAoSlhNzbug1LDx6k1G/mXNJLO1i3OhhY2AlB5nRNxLRdTUbeUcqdpPK3WK3ey8/oMHscM60CcFByG1jKbYqkpqPnr8ltRwmU4Y6AE0GvXlPTDcg815/deuD98ZjzXE2qiOnlQVOjmmMwiLzhZhqRXadf4Shf7OVLYkeQkYBLou4hV8PXmXMkyq33ot3n1B7+hHOMpwe549i+XKaamnovBQBioCEEPhpy3nsVosUH9iwEkYL7Cjgm3v23mu0++ME82dygZIwNUhvVA5cfoJBG1mqA1Lk6vgvjfSWZw4DV0XdxrT9CYyp3pWKYFNfL3Mw3SxsJPzP6lQov7Z1xrd1ygpq+/KIW5ip9h5EisiQYjK0CY/AwctPMFBtj6tQNA+O/dxQ+ImykfgmORWuwYc5vU6OaYRSBZRZWFBbgOn5W1uklN2POgCVvb6StY5uQJJdGlEVe/0hFd6/HsXHz2nMvGJEdYhqZDaTkSjAJnMjcDuRjQKsVCwPDg31hZUAnCn8Q3Nnz7KY0cZZShCodPmc9hVVxh3k6BU6zBdVS+STnK5UIYoARUB8BPqsP40jCc+ZiX8OqIrBjaoYVZHbL96j0ZwIzhxXpwYhl7V+USRzD1/HQjUeQ6+KhbGlX12j2iB34XyqjMrF8+LI8AZyN4vqD4BwITtPDsX7Tywn5qY+nvCuXFRQfP6KuYfxajyDtcoVwvaB3oLOQYX9h8DWMw8wSo02wRicjtpgTd6tK409wOkaMrQ+HErm12a4YvvQ87dil1Ynw6gDUCe4aGehEKAbkFBIylvO/CPXMf8IS+pO0lIJH1KZwrbyNkxH7TVxAU5rXQNdvQyvDElSjK8/e89oNLV1DXQTQK6OJmrVnU+Ov6WfF7wqFtFqLO1EEaAIKBuBDstO4PTd14yRwa2c8H3d8kY1WugoEn5Bi771K2Bcc0ej2iB34SdvvcR3K2MYM0gUZtyUQFhIjMZC7jibQv+X7z+h1jRu5H/UKD/B3wH5mRYOJfMhZKivKUxW/Jyro+9g6r54xk5TRuw6Tz6Ed2oFl/7u5wVPM3+npOdvxX8FtTKQOgC1gol2EhoBugEJjaj85L1L+Yz6s47hTfJnRvk2bnaY18lVfsYYqPHXr/+qyIovP3rLSCIVy8JHNkS+XNZ6S0/5nAanSYdAbkLTG7n1JrffUmwNZx/D3ZfJjGp/dHFHU+dSUlSV6kQRoAiIjACJlL7xnL3MWPCtK1q52hlVC7I3VxaoijrZh12nhOKdWrTTsq7uCKpB97isFvH5uxTUmc4tZGUMJ5FRHyQqXCMC5++/RpulbIq9lUUOkAhbIbIf1Cc8HP8Mff9kuTztC+VG9Giaem+Mx3LBkRuYd+Q6IzrQqQSWd/MwxlTZyvT57Sgevv7I9FvRrRYCnEpmO07JHej5W8mrq71t1AGoPVa0p4AI0A1IQDBlKoqkQZF0KPVmzuH5/CgHgks/34oY26y63it8+eFbtFzMEs7nyAFcmRyIPDmt9JZpzIGkchypIJfeSKoySVmmjSJAEaAIEI5QwhWa3tb3qoMGVYsZHRj3qYfx6kMqM8/GPp6op0eK4tWnSQiaH8XRN3ZsYxTPL62K7EYHVMcJSJoo4fJ6+5G9LFzTwwONHEroKIl2lxoC/OyH8kVsET7ST3A1+e9XBW2tcWFigODzUIFQRf+RKMD0Jka19sxwb74wCnGPk5iPZ7d3QQePMma9TPT8bdbLzxhPHYD0OTAJAnQDMgnskpn0bfJn+Mw6ygnNb+JYQlX8wpxbn/VncCThGQMBSYneO9gHjqX14yz5+/R9jN5+mZFnrJdrodas17rTOHqV5fgaGVgNP/hVFko8lUMRoAjIFAHiBKo2PgSpaV8ZC0i1dBf7gka3qNGccNxWq9S+6Ds3tKxZWud5N526j7E72f2YFgDRHkJ++vcvTR0woEEl7QXQnpJEYPHRG/g9lL0Irl+lKDb09hRcV/5lqLVlDtyY3kzweahAYPjWC9hx7hEDRR+fChjfwjQ0B11WxeD4zZeMLuObV0ef+hXNepno+dusl586AOnymxYBugGZFn9Tzz4n9BoWHb3JUePgT/VRvZR+ji5T2yPU/IRwnkSIqB9ySdXeHQO99eI7mrwnDutO3GXUa+ZcEku71BJKXcHljNh6EdvPPWTk9vapgAkmenEU3DgqkCJAEdAbgeTUL3CceIgzPnKkH8oWMT5fbPs/TuDMPcO5B3/edhH/nGX3t29qlsbC79z0xsScBo7ZcRmbY+8zJpsyqsiccDe2rSO3XcQ2te9EF8+ymG6EImWaivlcmxaEnFb6FfMxNi5yli+li9xBG8/iwOWnDJxDGlXGiIBqcobXYN3p+dtgCBUhgEYAKmIZ5WcE3YDkt2ZCaZz4/hMazDqGD6ls5d/mLqWwpLO7UFPIWs68w9exQK1KJDFmyjdO6O6tO9l9x+UnEXvnFYPHiCZVMaSxcatmGgL+9P3xWBnFpo60dbPDXDPkhDQEQzqWIqBEBB69+Yh6vx7lmHZxUgAK5NafI1VbnAZsOIuQOPYQObBhJYwOctB2ONOv0e/hnGrvk1s6oke9CjrLMccBa6LvIFitsEBN+wLYPdjHHKFQlM2dlp/EKbV3lDFNHdDfCJGdz5NSUGcGl0fy3IQmKJzHRlF4SsGYNkuP4/x9lsplepsa6OJpeEE7fWwbs+MSNsc+Epg5sAAAIABJREFUYIZ+X7ccglvV0EeUYsbQ87diltIgQ6gD0CD46GB9EaAbkL7IyX/cxN1X8OfJe4whpJBf6DBfVC6eT/7GCWABKdzRbEEU56CY08oC+4b4oEoJ7TEiKXMuhHBerQLaqu894O8oXd6kJcduYvahawyKftWKYW3POgKgSkVQBCgCckYg7vFbNF/I8pmS342b05vpFRmtKw4zDyRgeeRtZpg+kdSvP6TCbephztRipTDraq8U+0ffSETX1acY1Wxt/qsEnIMQ29ImWwS8Z4bh8dsURn9jFcXRFEFMC8kY57Hx+z0cdxI/MMKXdnFHMxMVc5t5MAHLI9i9u5VraSz41ryjrun52zjPvdykUgeg3FZMIfrSDUghC6mjGSQNI2BeJL6oVaVt626HuR3Nr/JvVtCduJWIzivZww7p61AyH3b9UA+5rLVLWXnwKllVZVm9nfilEUoXzK3jqonXnaR4kVSv9FazTEHs/qGeeArQmSgCFAFJInDiZiI6r2L3xEK21jgvEok/n7vPsVR+HPipvk44Hb36DL3WsVVIc1lb4PLkQFhbWugkx1w7P0tKgScvgit6tB/sCxk/BdxcMTe23Z++pMFhQgj+/Zedaf+PPnAqXUDwqcmFaKWxB6D26okDP9bXm19ZcAUVJNAtOBSvk9mCPZv6esK7UlGTWLg0/CZmhbCXyg2rFcM6M79UpudvkzyKkpuUOgAltyTmoRDdgMxjnflW9t9wBofi2CIXNlYWCP+5oaSdUqZaKT5/H9GDVMSd3rqGVlEPfHJtUvXu/IQmWo01lc0hV55iwF9nmenLFM6NqFGNTKUOnZciQBGQCAIHLj/BoI3nGG0qFs2Doz83FEU7vvNRn+gzPr1BnQqFsbV/XVH0V8IkmiLa1/asDb9qxZVgnlnaoImX79LkAOTPZZy0fudJh/Du0xcG620D6qJ2+cJmib2xjP769V9UHicdR+vGU/cwbucVxly3sgWxc5B5XyrT87exnn55yaUOQHmtl2K0pRuQYpZSa0NO3X6JTitiOP1JFT9SzY+2jAiQVODWS47j6tN3nA/HNauOvr5ZVzH7nPYVPr8dxbOkT8xYOURanrn7Cu2XnWR0JlEyCcFBknZayv3ZJS/slx+9hUWOHHC2Fz7yQu74UP2lgQA/Ck/Mg5wm/sHYcY1RPF8urcAh37F6vx3FE7VUx8F+lfFzoHmT0WsFnlqntkuP45wat5g2v4W6zkH7i4fAsWvP0XPtaWZCY0f1es0Iw9MkNt2YOpCFX+s3yalwDeZSHZwc0wilCpgm82T/pSf4YZPaxVGxPDg6QpyLI+HRFUYiPX8Lg6PcpVAHoNxXUKb60w1Ipgunp9pf0r6ixaJojjOLvOxFjPIz2m2vnqpKatj1Z+/QclE0Pn35ytFrwbeuaOVql6muey8+xpDN5zmf7x3sI3kHz8PXyfD5jZu2TKIWC1GibqM8lySqZuxOUl3zP5Ls7+qUxYw22kWYGkUhKpQikAkCpuQHJQ48h4khSFXbh3WJHjp56yW+W8m9/AoZWh8OJc276r2uD/sv2y9hy2mW0L9DLXvM7lBTVzG0v0QQWH/iLibtiWO0MXZhl8ZzwnHrBctNt7izG1q4lJYIGspQg3D/EQ5A9XZ1apDW1DVCo8DnDi2SxwZnJzQRehpZyaPnb1ktl9GUpQ5Ao0FLBWeFAN2AzOv54FfwI9bTCojaPQP7Lj3G4E1cZx7hPSfRD719KmiMjuNHSniUK4R/BnprN6EJe5HIxarjD4rCCWRCMyUztSauyR8bV8HwJlUloyNVhCJAEJhxIAEr1ApxtHGzwzwRK4Q3mRuBG8/fM4sxu70LOniU0Wpx+I4rwucaMtRXq7G0E4vAqqjbmLY/gfmDa5mCKl5c2uSJQPDeeKw5fodRvmXN0lj0nfEKNLRachwXH7DVaX9t64xv65SVJ3gS1frc/ddou/QEox3J4rg6tanJtL388C1aLmaLR1lZ5MCN6U3NOquEnr9N9jhKamLqAJTUcpiPMnQDMp+1fv4uBY1/j+Bwr5ADEKlqa0UJ0LV6EJZF3MKvB69m6Esqmo0OcmA4FElE16KjNzH38HVOXznddHvOOMJJXZZ65WKtFlCinbqsisHxmy8zaDe3Y020dbeXqNZULXNEYNQ/F7H1zEPG9B7e5TH5GyfRoOiz/gyOJLD8tT/4VcLIwOzpK0ihg9rTjiBJrRo72bMHNqwkmu5KmSji+gt0XxPLmJM3pxUuTQoQpRK0UjCUkh191p/GkYTnjEpDGlXGiADjpcXzf+/GN6+OPvWzplOREl5y0IVf7KhUgVw4OaaxyVS//zIZvrO5WSWkenienFYm08nUE9Pzt6lXQBrzUwegNNbB7LSgG5D5LPnwrRew49wjjsG6pE+ZD1KZW0oce1P2xmPdibsZOuW0skD9KkVRvkgeFZfbqTuvOH3IC1jkKD/ZVJvk39JPbV0D3bzK0cdAYAT4N/Xq4vPlsgKpGJ3PSGTsAptCxZkBAv3+PIPQeNYBN8y/Kn7yryKa5dP2xWNVNBut1NylFJZ0ds92fn5hIzJA6tXYszXKRB2evk2B18wwzuzkIrGGHeUuNdGSGDSt/9wI3NQzqlafiU29h+ijs9zG7Dj3EMO3XmTUrl4qPw7qWDFdSJvfJn9GzeBQjkhz33/p+VvIJ0y+sqgDUL5rJ2vN6QYk6+XTWnl+UQcysK2bHeaKmLqltbIS70icgEvDb2H2oWs6aTqrvQs6apmqppNgI3Ue+NdZHLzylJE+qGEljArKPtLGSOooVmzvdacRdpWNvuAbuqaHBxo5lFCs/dQweSHQcflJxKpdbkz5xgndvcuLZsSGmHuYsIutJlnDLj/2Damf7fzdVp9C1I1Epp9nhcL4m1b/zRa3zDoQfjHCM5beRgZWww9+lfWWRweaBgFDeTX10Xr43xew4zx7Gd3PtyLGNquujyg6JhMEVkffwdR98cyndSsWweZ+XibDizxnlcYd4NDKEIckcUyaa6Pnb3Ndea7d1AFInwOTIEA3IJPALuqkaV//VRX+SHiSxMybL6cVwn5uoHX1RFEVlslkuy88wridV/D+05csNbbIAUxo4Yie9SrIxLL/1OTzAonN9SUrsPRU9m7iBzTkEXXzRWmb4qinCnQYRUAnBALnReLaM7YienaFkHQSrkVnPpk8+S27NDkgSy4pTVG2lHdMC7Cz6DJ5TxwnEr5O+cLYOqCuYULpaNERePL2I+rOPMqZN3ZsYxTPr11lbX0UJg584shPb6To1cy2zvqIomMyQWBO6DUVDU16a+ZcEku71DIpXjWnhOLtx8+MDpv7eqFupSIm1cmUk9PztynRl87c1AEonbUwK03oBqT85V57/I4qbVW9EYcUKVxBm2EIJL7/hIVhN7Dx1H0QRyu/kRTOeR1d4e8ovwiulZG3Mf0AS/ROI2YMe1Y0jd4cex9jdlxmPiqQ2xrE0aqeYu5VsTC29KMHa+HRpxL1QaDO9CN4/u4TM3Rdz9poWK24PqL0GvPgVTLqz+JySZ0Z74+ieXNmKq/n2lgcu/aC+bxYvpyIGuVnsoqYehkusUHHrj5Hz3WnGa0sLXLg/MQmyE/pCiS2Ulmrw6+MndvaEvHBgUYtzjAr5KoqiyK9GbvoiKwWRCBlx++6jL9i7jPSOnuWxYw2pnWy+s46hvuvkhmdlnWthaAaJQWyWH5i6PlbfmtmDI2pA9AYqFKZ2SJAN6BsIZJ1h3svPyBofhQ+fk5j7KhWIh/2/0gLfwi5sM+SUkBepC88eAPy32UL28KxdH74ORSX7YGIX/W4XBFbRIz0ExI2s5fFL6jQwqWUygHYe/0ZBhtyICMRTta0UI/ZPy+mBoDQH1SbEILUL18ZVUj1V1IFVqxGLlocJhzE5zT2wmX7wLqoVa6wRhUuPXyDbxYf53xGiw4YvlrJqV/gGnyY8yws6+qOoBqlDBdOJYiGwN+n72P0dvYSSozK2Pxiar5Vi+HPXnVEs9kcJvph0znsv/SEMVUKmQQtF0Wr+LHT26x2LuhYW7sK7kpcM3r+VuKq6m4TdQDqjhkdIQACdAMSAESJiiCcG9+ujOHwNRFV/+7nBc+K5ht2L9HlkpxaZ++9Rrs/TjB62VhZ4NrUIKNGBkgOBCMrxCdfn9jCEa3d7OA+9TBn5j2D68HFXjwni5HNpuJlisDH1DRUnxjC0T7854YoXzSPqBY1mhOO2y9Y/rk5HWqiXa2M1bKJw/L7NbEc7r8ieWwQNdoPtjbmW31SqMXi8yrSVE6hkBVPzm8hV/GHWjRegGMJrPjew6gK8CPfyQUCuUigTTgEpFhpueuqU4i+yfKwjmtWHX19zbf6Mz1/C/e8y1kSdQDKefVkrDvdgGS8eNmorin1l1RxJdVcaaMIZIeAJm6g7FLtspNJP2cRIFw4hBNHve0c5A23soXAd3BMaik/Dkm61spDQNOecHFiAArYWotqbK91p3FUrXDOYL/K+DmwWgYdSAQMiYRRb780dcCABpVE1Vepk/FpIuwK5kb0aD96SSSjBf9h4znsv8xGiolRkIP/vaxYLA+OjmgoI9Skr2qzBVGIV+P9/r1DTbTXcEkipiX8Zy2zfVtMnUw5Fz1/mxJ96cxNHYDSWQuz0oRuQMpcblJcIGhBJFI+s6la9oVy49BQX+TJSSMflLnqwlr1Je0rqo4/CHVqw31DfFDDroCwE5mptMjrL1TRSenNxtICl6cEIKeVJUZuu4htZx8yn5HU4MWd3c0UKWq2VBAghaSaLohi1MmRA7g1vRksSKUjEdu0ffFYFX2HmVFTJeB3KZ9BImyfJbF8hSXy51Q5GuhvoDCLdf3ZOwTMi+QI2/1DPdQUMSVcGEvMV0rzhVGIe8wWiJvWuga6epUzKiBRN16g22r2t69oXhucGd/EqHOam/B6vx7FozcfGbNXd/dA4+qm5aImfMck+jO9mXtAAj1/m9u3UrO91AFInwOTIEA3IJPAbtRJVam/K2IQe/cVZ55NfT3hXamoUeemwpWFQN2ZYXjyNoUxakW3WghwMl/SZiFXd/6R65h/5AYj0r1sQewY9F8a1JbY+/hFrThI6QK5cGJMYyGnp7IoAjojcOJWIjqvPMWMK2hrjQsTA3SWY+gAvvOcyDsyvAEqF8/LiJ60+wrWn2QrjZIPlnR2R3MXylFnKP7p40mKNSnI8vA162joUMseszvUFGoKKseICJD1c5kcinefvjCz/NXbEz5VjPueyOflJJdf16ZRehEhl9pxYgiSU1nu76x4UoWcNytZ/HRzcy/+Qs/fYj150p6HOgClvT6K1Y5uQMpb2jXRdxC8j1v119xv2pS3yuJY1HbpcZy7/4aZbMo3TujuXV6cyRU+S/c1sYi4zlYmJVW5SXVu0m48e4cmvMiaE780QumCuRWOCjVPyggcvPwEAzeyKbXli9gi3ASFgUh0ct1fj+KFWjXiIY0qY0TAf2nAfD3J30ihgfU9a9P0VIEfsMVHb+D30OuM1JxWFogd6y96WrjAZpmFuFcfUjPwzZLq2GUK2xrVfpKh0vD3cM4cCcFByG1jadR5zUX4py9pqDaey9UaNqIBKhVjL0hMgQUt/sJFnZ6/TfEUSm9O6gCU3pqYhUZ0A1LWMl959BZtl55AahpN/VXWyprGGj5nS/8GFTGmaXXTKKOgWUmUrtvUwyA8gOltcWc3tHAprfon+dw1OBRJKWxkBq2wqaAHQKam8Mn7SaonSfk0RQveG481x9k04DKFcyNypB9uJ35Aq8XH8V4tqokUMAod6it6sRJT4CL2nM/fpYCkG6pXZaZVlsVeBf3mO3f/tep9Mb1ZWeTA1alBsDJyxfnXH1JVv3/q7dTYxiiRP5d+htBRHASeJaXAc0YY52/nJjRB4Tw2JkVKSr8fJgXi/5PT87cUVsH0OlAHoOnXwCw1oBuQcpadcB61WBSNey+TOUbR1F/lrLHYlvC5tlq5lsaCb93EVkNx89168R6N50Rw7OJH+H23IgYnb79k+owKqoZBDSsrDgtqkHwQINVCSRpXemtYrRjW9axjEgP4aYRECVLcY/eFRxzaAvJ3MXjNTAKCRCYdsvk89l58zGhToWgehA1vIDo3pETgkI0au84/wtC/L3DW7djPxi/GQSJ4K487yMHp8DBfVCmRTzbYSVnRq0+TEDSfy9V6c3ozWIrM1crH6MDlJxikFkFO9gkxnjeprhU9f0t1ZcTVizoAxcWbzvZ/BOgGpIxHgXC5DN58HqS6mnrr41MB4/+fVqgMS6kVYiKwOvoOpqqlk9cpXxhbB9QVUwVFzrX97EOM2HaRsY0UJ4gZ05iTnjh252VsOsUSZlNuLUU+CrIyaubBBCyPuM3o3Nq1NOab6EKA/OYRJzqJ+MuqtXW3w5wONWnqrxGftFO3X6LTihjODCu/90ATR9MWHTCiyYoQzeehbUDS5HuJ49B3mhiCD2ocdf8MqAuP8oUVgaupjTh56yW+W8l+HwvktsbFSeJztfJxOH4zEV1WsRyyJCKRRCaaa6Pnb3Ndea7d1AFInwOTIEA3IJPALvikG2LuYcKuKxy5bmULYmv/urA2cjqH4MZQgZJBgM+lRSpJR49uJBn9xFLkbfJnfEj9IhgH3/T98VgZxaYvkoMyOTCrt1VRtzFtfwLzJ49yhfDPQG+xTKbzUAQyIPDL9kvYcvoB8/ce3uUx+RsnkyG1MOwG5h5m+ef4ilQvlR87BnpTbjEjrxBxxgbOj8T1Z++ZmQj2+4f40ChAI2NviPjhf1/AjvOPGBHd65bDlFY1DBGp9VjvmWF4rFZgbE0PDzRyoA5jrQHMomPIlScY8JfpuVr5KhKKIpKllN5IROLN6U3N9nKGnr+FeNrlL4M6AOW/hrK0gG5Aslw2jtKaeP/Ijd/+H31gX8i4ZM7yR49akBUC5++/Rhs1jiBryxy4NrWpWRzqCIcYKagTGv8UcY+T8O+/QHPnUlj0nZvB9ndbfQpRNxIZ6H9sVBnD/1/AIP2PYQnP0Hv9GaZPkTw2OGvGt+X0m2p6BPpvOINDcc8YRX5qXAXDmlQ1mWIv339C0IIoTjGQdGXqViyCRZ3dUDRvTpPpZ04T89NJie3qvKbmhIVcbG33xwmcvfeaUZcUoSLFqMRoQfMjcfXpO2aqeZ1qoo2bvRhTK34OPteea5mC2GUirlZ1sB+8SlZVDVdvlyYHIH8ua8WviSYD6fnbLJc9g9HUAUifA5MgQDcgk8Au2KSETLn10uMZeP9Wfe8Bf5p+IxjO5iqIELzXmc4lkyZE+2WLKN+xPGDDWYTEPc2w9Mu61kJQjZIGPRKeM47gWdInRoamg/LtF+/RiMcTeHFiAK2uaRDydLAhCHRafhKn7rxiRExq6Yie9cRxGGSmN3ECkgj4racfqCKKyCXFwIaVQZyTpua8MgRruY1N+/oviFPnxnM2CrBisTyq4ivGLiohN6ykoq/HtMNIfJ/KqCPme2PHZScRe5fdS6Z844Tu3uWlAo2s9VgafhOzQq4xNpiSq1UdyI+paag+kVud+MjwBqhc3LTViU212PT8bSrkpTUvdQBKaz3MRhu6Acl3qVO/fAWJJFI/kBFr+tavgHHNHeVrGNVcMgiQ1C73qYfxOpmtViuEA0wyBmaiyNO3KfCayXV8pncNcCyBFbx0XV3seZOcCtdgbgXEI8N9Ubk4lwD9c9pXOEwIATlYpzdyi09u82mjCJgCAX7UzvxOrmjtZmcKVTLMSb4nxGle0NYGxfLRqD9TLAo/9ZDoML1NDXTxLGcKdeicWSBAItxrTDrE6aHpd8hYIPZZfwZHEtho4hFNqmJI4yrGms6s5M44kIAVkSxXaxs3O8zr5CoJDGpOCcXbj+z75MY+nqhXuagkdBNbCXr+Fhtxac5HHYDSXBfFa0U3IHkuMXHMjN5+CVvPPOQYQHn/5LmeUta688oYnLjFVqMd6l8FQ/1Nl/YnBlYbTt7FhN1xGqciEUanxvqDEFjr0/iE+TaWFogLDtTI1en3ezjuqBU5oGlS+iBOxwiFgGtwKN6oXQb82asOfKsWE0o8lSNzBMh7ScvF0bjyKImxpKCtNY6NaIhCeu6XModEsurHPX6L5gtZPrYcOYCE4CDksrYURefhWy9gxzmWf5AWrBMO9pHbLmLbWfZs0LNeeUxqaTquVnXL+JdIv3eoifa1zDP1m56/hXvm5SyJOgDlvHoy1p1uQPJcvBWRtzDjwFWO8qSS6O4ffFCyQC55GkW1liQCwXvjseY4W7AiyKkklnWrJUldhVKq66pTiL7JcvTx5Qa3csL3dfVLV+I7Fx1K5kPIUF+NqvdadxpHrz5nPtPEFSiUzVQORSArBD58+gInXsRQ2IgGqFTMPNO36NOiGQF+pU/Sq4tnWUxv40whkxAC/AJfpQvkwokxjUXTcMreOKw9fpeZr6OHPWa1ryna/EqeqPe60whTe28Y3qQqfpRIdGWPtbEIv/aCgf/ngKoY3Mg8Iz/p+VvJ30LtbaMOQO2xoj0FRIBuQAKCKZKow/HP0G/DGVVRgvSWy9oC2/p7w9m+gEha0GnMBYGtZx5g1D+XGHPLF7FF+Eg/xZpPKv7WmnYYX9RSb0nU3+c09gtXs0xB7NaTVHvczsvYeOo+g19r19KY/62bRjyn7ovH6mjW+drCpRQWd3ZXLPbUMOkicPP5O/jPjeQoSCKGctuIEzEkXWSoZnwEBm08iwOXWf5UEl1G9ksXe0pfIJWn5Y/wW/gthL1E9qpYGFv61RVNvXmHr2NB2A1mPnO4WBQL3BaLojhRuL+1c0an2mXFmj7LecbsuITNsWwleXO+HKDnb0k8kiZXgjoATb4E5qkA3YCMv+4kLYZUEb3/KhmeFQqjiAFVCS89fINvV8QgOTWNo/iyru4IqlHK+MbQGcwOgcsP36rSutIbOcxdmRyIPDmtFInFjnMPMXzrRca2nFYWKv6cQRvPcezVl7y6w7ITOH2Xrbw4KqgaBjWsrBHLv2LuYfyuK8xnTqXzY/+P9RWJOzVK2giEX3uOHmtPM0qSFPhztCq1tBfNRNo9evMR/nMi8PEz+55CIp33DPaBjZWFibSi06ojwHfEfFu7DH5t5yIaSORii1xwpTdStXtzPy/R5lfyRB7TjiDxPVtkbG3P2vCrVlwSJi84cgPzjlxndGnsUByre9SWhG5iK0HP32IjLs35qANQmuuieK3oBmTcJT527TkWH72Js/f+O/ATvq+mziUxoEElVC+VX6fJbzx7h47LT3IKMhABIwOr4Qc/zQ4EnSagnSkCGhBI+ZwGx4khUAuIw45B3nAvW0iRePXfcAaH4lhycv/qJUAc7F4zj3JeqkcHOWBgw0o6YUAuA1ymhOJdyhdm3JoeHmjkUEKjnBM3E9F51SnmM1sbS8RNCUQO4oWljSIgIgKbTt3H2J2XmRmd7Qpg7xAfETWgU8kJgSXHbmL2IbYSKdHdHPhj5bJGfG7frC6ijGHTP2cf4udt7EUbvdwSBmVSPKzq+IOcDKGDP9XX+bwhjDYZpZBq7aO2sxkljqXy48BP5nmpSc/fxnrK5CWXOgDltV6K0ZZuQMZbSv5Nl/pMVhY5MKu9C9q6a0d+e+/lB3RaHoOnSSkchdu622FOh5rUIWC8ZaSSAfjPjcDN5+8ZLGa0cUZnT2mklAi5QMTZSQodpHz+yoid3d4FHTzKgJ+6q0/K0pO3H1F35lGOytGj/WBfyFajGZr6nxrbGCXyU55PIdedysoegd8PXcPiYzeZjoFOJbC8m0f2A2kPs0Qg9ctXfLM4GlefvmPsJ+89JArQsbRul59mCaCRja7361GQSM30tqSzO5q7iJdFEhr3FP02nGXmty+UG9GjGxnZauWLf/zmI7x/5b5jnJ/QRDJFeCKvv8D3a2KZhTDnSHJ6/lb+91EbC6kDUBuUaB/BEaAbkOCQqgSeuJWIzivZyJ3MZvmlqQP6+1bM0oFHIv+6rDqF5+/YkH4iz6dyUazu4YGcVpSDyTirSKWmIzB40znsu/SEAeT7uuUQ3KqG4gAikbrt/jjB2GWRAzg7/r+XZ37EQqkCuXBSR9J0fhpl3pxWuDw5INPv/9ev/6oKL6in0m3u64W6lYooDntqkLQRGPb3Bew8z1bt7FWvAia2dJS20lQ7kyJA6CNaLz2ONLXw8Wol8mH34HqiVZs1KQASnfzTlzQ4TAjhRIntG+KDGnbicUjH3H6porNJb/lzWeHS5ECJIiYftc7df422S9l3GJJyf21qkGSCBMh5psk8Lpfs1aniVZ+W0krS87eUVsN0ulAHoOmwN+uZ6QYk/PK///QFgfMiOberWc3Sw7s8JrRwhCXxNvDa6buv0H/DWbz6kMr5xK1sQfzV21OxPGzCrwqVaAgC/HSuOuULY+sA8QjDDdFdl7HrT9zFpD1xzJCqJfIidFgD1b81FUHQNRpvecQtzDzIEq+7ly2IHYPqZali0wVRSHiSxPSZ3qYGuniW08Us2pciYDAChH4i9s4rRs745tXRp35Fg+VSAcpGYPahq1hy7BbHyO51y2GKAi+Q5LKSJJqfRPWrN3IRlS+XtWgmkN808tuW3girxa3pzWCh4T1YNKUUMBG/unOZwrkRNUo6kZVJKZ/hMjmUg3TkSD+ULaI5C0IBS5KpCfT8reTV1d426gDUHivaU0AE6AYkIJj/FzVmx2VsjmWrfJI//9ioMrp6lQNxpKw/eS/DpE1rlMTMts4oaGuj+ozweKyMuo05odc5t+fkM8KVsqmPFwrYiveyJjxKVKKcEAhLeIbe688wKucjt/WTMo9ck5Nt6rqO2HoR2889ZP5EUuzndnRV/ZtE4xH+PuLgT28rutVCgFNJrc0dvvUCdpxjo6i+q1MGM9tmTbzOr6jZv0FFjGlaXes5aUeKgBAI8FMG/+jijqbO4qUMCmEDlSE+AiTarPWSE5xLDKKJAj1vAAAgAElEQVTFqu894O+omftUfC3Na8ajV5+h1zr297xIHhucFbmgD0k/JnuKers4KQAFctP3WkOexnXH72DyXra4Su3yhbBtgLchIgUdS3iQa0w6hA9qhQz/7ucFz4rml9VAz9+CPlqyFUYdgLJdOnkrTjcgYdfvbuIH+M0J56RWkMq/JG0v/WZzVdRtTNufkGHifDmt0MbdDtaWFth/6UkGvj8ygEQMre1Zh74kCbtsVFo2CGjilVHirS2J3L32jOWsmtTSET3rVWDQ4ROn/+BXCSMDHbR+fpovjFJVBE9vk1s6ooeafE2CZh5MwPKI28xHzZxLYmmXWlrPSTtSBAxFgKRwEmJ59VTOPYPrwcW+oKGi6XgzQICk/ZFK8urcqiTlk/ABli+aRzAEiHPh+M2X2BBzF1ceJcGzYmGMa1YdRfLmFGwOJQhaE30HwWoVeElGyc5sItGFtptcpBFHkHqLGuWHMoXNLxJMSGx/PXgVyyLYiFvC60j4HaXUGs8Jx60XHxiVFnzrilaudlJSURRd6PlbFJglPwl1AEp+iZSpIN2AhF3XCbuuYEMMG+FHqnaG/OSbIbx9z8XHGLH1Aj6n/au1Ar5Vi4FEXeTJaaX1GNqRIiAEAuRg5T71MKcCdXArJ3xft7wQ4iUh42NqGpwmcasdbx9YF7XKFWb0+y3kKv4IZ1+uCQ/nX308tdKfOE+qTwwBIcdPb5v6esK7UtEsx288dQ/jdl5h+tSwy499Q8yzap5WQNNOgiOgqRjNmfH+KEodK4JjrVSB/H2M2En4AElFeSHeaZ4lpWDAX2dx/v4bDoSlC+TCH11roWYZ6qxOB2bynjisO3GXwamNmx3mdfov0l2sRt4pKo09ADV6SIjNQyiWrWLOw+dq7e1TQUUxJKXWddUpRN9MZFQiXOgDGlSSkoqi6ELP36LALPlJqANQ8kukTAXpBiTcur7+kIq6v4Zxbrn7+VbE2Gaa0/VO3ExU8fu9U0sp1KQN4UYZ2rgqBjeqrJEnUDgLqCSKQOYI8F8s61cpig29tXN+yQFXTQVA4qYEIbcNW2Qn5MpT1SEzvZFU6IsTA7TiLbr14j0az+HyLp0d759tdErUjRfotpqtmkfJ0uXwNClLxzN3X6H9spOMUTmtLECI23OQHyfaKAJaIEAcPoM3n1dlN6i35s6lsLizm0HPErlU6bD8JC4+4Dr/0uexsbTAn73rwMsM0ww1LQ2pwkqqsaa3nxpXwbAmVbVYRWG7uAaH4k3yZ0aoNhdiwmqgPGn8LAUSAdvXV1pcrT9vu6gqqpbeCA/65G+clLcY2VhEz99mt+QaDaYOQPocmAQBugEJB/viozfwe+h1RqCVRQ5EjvJD6YK5M53k/stkzA69hr0XH2vsQ1J+RwU50BdX4ZaJStITgQOXn2DQxnPMaGvLHCreoPwiEofrqbpWw/jcOeoFQNIFPH2bAq+ZYRx5YSMaoFKxvNnOwSfnJtFTJIoqu3bv5Qc0mB3O6UacjpQDNDvk6OdCIbD7wiP8tOUCI65i0Tw4+nNDocRTOWaCwIdPX1QVStVpFojphkYABe+Nx5rjd7JEsULRPAgd5quiWDH35jnjCJ4lfWJgWPSdG1rWLC06LA1mH8O9l8nMvMu61kJQDe05dUVXWAYTNpoTjtsST6+dE3oNi47eZNAMdCqB5d08ZICusCrS87eweMpVGnUAynXlZK433YCEWUBCdO3z2zG8eMe+VLVyLY0F37ppNUH84ySQtODn71JUKYIl8udCa1c7ONsX0Go87UQRMDYChLPHPfgwUtPYFNaF37nhGxMcHIxhK78ASDt3e8zpWDPDVPzD09yONdHW3T5bleYfuY75R24w/bRNHyYFgaqNP0hTpbJFmHYwFgIk7Z2kv6c3bZ9dY+lD5coXAcKT/M3iaCSlsMWUSOHXdT3rgNCc6NpC456i3wY2KpuMJ5dTmuhVpraugW5e5l1B/U1yKlyDD3NgPjzMF1VK5NMVeoP7t1wUjcuP3jJyZrVzQcfaZQyWa84CnCaGSL7ABp8OoKZ9Aewe7GN2y0bP32a35BoNpg5A+hyYBAG6AQkDO4ngG7L5PEcY5TMRBlsqRToIdF8Tiwi11CHi/CNOQCU0fgGQzAp09PvzDELjnzEmd69bDlNa1cgWgoF/ncXBK0+Zfr3qVcDEltpx8/ArsC7t4o5mtAJrtpjTDsIgMH7XZfwVw1a27+hhj1ntMzrHhZmNSlE6AseuPUevdac5xdIItQHhA6xcXHtHVFLKZxWtgvrFq42VBXYNqocqJfKi/R8ncPEh62AiUdcRIxsKwjko1zU6dfslOq2IYdQnztL44CCTREZ2WRWjKtqS3sY3r44+9aWVriqnddZUWCX854aCFtoRAg9+Feri+XIidlz22RBCzC0lGfT8LaXVMJ0u1AFoOuzNema6AQmz/HzejToVCmNr/7rCCKdSKAISQeCvmHsYv4stSEE48M5NaKL14YFEtx6Ke4pHbz6CcAg6lZZGhGty6n8VCdUJyfkFQNKXYMmxm5h96BqzIrXKFcL2gd7ZrhA/NUeXaIfvVsTg5G32oGRoyly2ytIOFAE1BIiz5ujV58xfhvlXxU/+VShGFAG9EeDvo0SQXcHc2DnIG8Xz59JKLr+YBRk0o40zOnuWVY0/eeslvlvJOrvI34b6V8FQf/H57rQySIROG07exYTdccxMDiXzIWSorwgzZ5xi0MazOHCZvRQb0qgyRgRUM4kuSpj05vP38J/L5RkmXK25rFkeYynYSTKemi2MYlQhVLLXpzXV+j1SCjYIoQM9fwuBovxlUAeg/NdQlhbQDcjwZbuT+AF+v3M5usy1rL3haFIJUkaAVFr0nMHlwCME7i1csuYPIhVwt515oOJ9Ic6/9OZsVwAjAqqiYbXiJjX77L1XaPcHW+SApKTxC4CkKxh+7Tl6rD3N6Jvb2hJXpgRmWaAn5XMaHCdyKwzv+qEeXLWsTDn6n0v4+8wDZk5ywCUHXdooAmIgEDQ/ElefvmOmmt3eBR08aKqeGNgrdQ5SFIRwyqpHRRNbnUrnx+Z+Xtlyy1559FaVSqx+adOwWjGs7VGbU1CE77wuaGuNmDGNJecUEWudx+28jI2n2Gje1q6lMV9Lqhqhdfxl+yVsOc3+rmkbTS+0HkqRd/xmIrqsOsWYUyC3NS5OCpCcea8+pMJ9KjcN/cQvjbLkS5ecEQIoRM/fAoCoABHUAaiARZSjCXQDMnzVZh5MwPKI24ygQrbWOGnGL5iGI0olSBmB1kuO44JatcXsyNWJ8+uHjecQphZBxLfP1Cmt/KiIKsXz4vDwBhqXgaSb1Z5+hPPZkeENULl45oVAyGG1xaJozpi4KYFap6LxCwwprQKzlJ93c9eNOGpcJodyqtXTap3m/lQIY//H1DR8uzImQ/VeUvzsz96eyJvTSuNEhHOZFBOJe5zEfE4qUx8e1gBli9hyxlx7+g6B8yM5f/u9Q020r5U9b6swVkpLCkmLPnPvNaPUqKBqGNSwskmUnHkgAcsj2XfnNm52mNfJ1SS6KGHSHeceYvjWi4wpmgqZScFO8pviMCEEn76wfNKb+3qhbqUiUlBPNB3o+Vs0qCU9EXUASnp5lKsc3YAMW1uS0lh3ZhhefkhlBPXxqYDxLbTj9jJsdjqaIiA+AvxqwESDzMjVCSdNn/WnEXP7VZaKkoPensH1UFGLarrGsHjMjkvYHMtGImQXFcEvBJJdxC//xbxsYVtVhXBtG78Ka/kitggfqf14beeh/SgCfAQ0VaGOHu0H+0JcRwtFjiKgDwKJ7z+pnHn3X7HVYImcOuULY2V3D5AoJn7TlPo7oklVDGmsOS292+pTiLqRyIipWaYgdv9QTx91ZT1G5cyfEop3agVY1vTwQCOHEiaxi58G3sihONb0qG0SXZQw6dLwm5gVwtKTSPmisNmCKMQ/YR34k1o6ome9CkpYBq1toOdvraFSdEfqAFT08krXOLoBGbY2mop/HBnuqxORtWEa0NEUAXERIIeI1ktPcKI2CLl62PAGKGDLHtZItcHua09niO4g2hKHH3EOqjfCRbRzUD3kthGfr6bV4mgOWfy4ZtXR1zdzMvLe605zIhr71q+Acc0zd/rzIx38q5fAqu4eWi/c+fuv0WbpCaa/lUUOXJvWNMu0Y62F044UgSwQ2HX+EYb+fYHpUTSvDU6P8+ekWVIAKQKGIEAqA3dcfhLP333iiKlULA9Wd6/NKWKg6QKKRF/v/9EHOa00/3YQ3tn+vErBewf7wNleGhy0hmCny9jHbz7C+9ejnCHHf2mk4l40RdsQcw8T1DiFSeTnjkHm55gVCvtJu69g/cl7jLgOtewxu4M0izWN2HoR2889ZHTt5FEGv7V3EQoKWcih529ZLJPRlaQOQKNDTCfQhADdgAx7LvjpFLXLF8K2AdkXBDBsVjqaImBaBDSRq9ewy48NvTxRKI8NnieloNvqWFx7xvKGEY1J0ZCF37rBt2oxjNx2ETvOP+IYMqhhJYwKchDVuC9pX+E06RAnHWVjH0/Uq1w0Uz3mHr6OhWE3mM/rViyi4q3KrPEjUAb7VcbPgdqTnb98/wm1pnHTjmkUlqiPidlOxj9UNnEsgZXfa++8NlvgqOE6IXDj2Tt8uyKGk01BBJDLoq5e5eBVsbCqgBThjPv3X1Y0Sf0lfKrVS+XPdD6yx9efdQxP3qaYtcPh2NXn6LmO5a/Nl9MKlyYHmMyZz3fmlitiiwga2a7T90a984ANZxESxxZV0fU9Q++J9Ri4Kuo2pu1PYEa62BfAnsE+ekiS7xB6/pbv2gmpOXUACokmlaU1AnQD0hqqDB018Xot/M4N39TMuiCC/jPSkRQB6SDQc20sjl17wVGodIFcqqiKiOsvkPKZ5XchnYrkscH6XnVQw+6/qAtSeZfwCV5/9p6RQQ5zR39uKGpEAjl4NpnH5YgilY0L57HJFOzQuKfopxZRkj+XlYpsOwcpZ8drJGKy5pRQJKmlXenKeUhkkCrFH1LTGOmUh0063wUla0IKLVx6+JYx0ZScYUrGmdoGJDxJUl0ckbRgbZt61d+sxiwKu4E5h68zXXJZW+DUGH9O1Lq2c8q137KIW/j14FVGfW0r2BvL3tg7r1SRn+nN1sYS8cFBxppO8XL5/MyZUbNIAQh+wRLy7kfW3pJUYDOTRs/fZrLQ2ZhJHYD0OTAJAnQD0h92EsG07Swbwl48X06QdAprSwv9hdKRFAGZIPDgVTLa/XEiQ9qWJvVLFciFDb09MxTKIM63oAVRIFWC01tbNzvMFZEInJ/iSHQlRXyyaqSScT1eKlXUKD+UKZyRF+32i/doNCeCI06finf8Sqy/tXNGp9plZfK0UDXliAAp4EMcz1/Uvp/mSNYux7WTq85kbyUUC+pVpzOzpZ27PX7v4KJVBNvzdynwnnmU8yxPaOGI3j7mwzs27O8L2KkWdW/qavJ3Ej/A7/dwzvLGBwfC1kZz8Re5PtNi6E0uCV2DD+Ptx8/MdKbkd8zOZk1ZDdkVU8tOptw+p+dvua2YcfSlDkDj4EqlZoMA3YD0e0Ref0iF58wwkCIg6W2Yf1X85K+ZhFq/WegoioC0ESDcTZ1XxuCxWmoVX2OS1vNXb0+NzjHSd+LuK/hTjbeG/G3fEB8mUtDYCMw4kIAVapUIGzsUx+psiMjJy7b71MN4ncy+bP/RxR1NnUtlUHfn+YcY9jdbmY9cFJwa21irQ6u6sL5/nsHh+GfMn6Sc3mPsNaPyxUHg9N1X6LCMjdAhwRmXJ2tfvVocLeksSkOA8MNO3HUFOy884qT7pttJOFBHBFRDP9+KOkUMDd50DvsuPWHgIhXsCXethZlEHTWZG4Ebz9mI+ynfOKG7d3mTPT7vUj7DeXIoZ/7IkX4ZKjmbTEEZTfzi3SfUns6lCZE6lnWmH+FcIC/u7IYWLuaTQUXP3zL6ghlRVeoANCK4VHTmCNANSL+nY97h61igxgFmbZlDFf1XPF8u/QTSURQBmSJAIgEHbTyHy4/YNEFiCjmktaxZGmObVUexfDkztY7cBDeYHc4pCkI49UiKq6aUWqFh6rrqFKJvshUif2xUGcMDsufn4/P6/eBXCSMDM/IXCsWhNnVfPFZH32HMb+FSCos7uwsNB5VHEWAQWBF5CzMOsCmDhGft4E/1KUIUAVEQuP7sHUil2PBrL1SXrSRt171sIdVFq4t9QZ11OHX7JTqtiOGMI5dTPlUy53vVeRKJDtBUAGTHIG8VnqZq5CLNYUIIh393+0BvkNRk2nRDIOb2SxWHZnqzsbJAgsRTar9fE4vI6yyNTGbvULohIZ/e9Pwtn7UypqbUAWhMdKnsTBGgG5DuD8erD6nwnXWM47Bo7Voa8791010YHUERUAACX7/+i0uP3uL0nVe49+oD7Araoq27HUrk184hvjT8JmaFXOMgIUb6CjmAkOIa5Dud3pZ1dUdQjYyRfPxlmnkwAcsjbjN/rl+lqCrNmd9aLTnOqYQ8MrAafvCrrPOqbzh5FxN2xzHjSNGVfUOoM0ZnIOkArREY+NdZHLzCksqbOmVQa8VpR4qABgTIfh84P5LDOxvoVALLuym/qM3m2PsYs+Myg0qB3NYgXLem5lwjVBok7Zv9/a2FoBol6fOrIwJ/xdzDeLWKyg4l8yFkqK+OUsTtPvNAApbrmH0hrobGnY2ev42Lr1ykUwegXFZKYXrSDUj3BeWnDBLe/0NDfVG1RD7dhdERFAGKAAjXWKPfwzmpxJWL50XIT/VhZUROzadvU+A1M4yzAtqmzfArGOaxscSFSQEcDtBPX9LgPCkUqWksVUB2FYYzexyibrxQEeSnN1Id87IJKzjSx1b5CHjNCMPTJLZy6uz2LujgUUb5hlMLFYvAnyfvYqLaRQpxgEWMbAj7Qhn5W5UEAr9CrFQiyPmFK6a1rqGq+kybbghM3hOHdSfuMoOksr5ZWcHnXyZF5E5kw7+sGyrS7k3P39JeH7G0ow5AsZCm83AQoBuQbg/Es6QUVfTfJzXuvzZudpgnYtEC3TSmvSkC8kBgx7mHGL6V5cojWk9t5YRudY3HUXT06jP0WneGAShfzv+q+WrDCUUqVXpM43Lu7BzkDTe1lKoLD96oKh2nN3JZQOTnz2Wt86KQVOv6s45xxp0e559lerXOk9ABFIH/I0DSLwN41bHNjaSdPgzKQ4DwzhHHtnpF9R7e5TH5GyflGft/iz6nfYV78GG8+/SFsfH3DjXRvpa9yW3us/4MjiSw3LZD/atgqH9Vk+slNwX4lCRywPHq0yQEzY/iQH1xYoDZVOam52+5fcuMoy91ABoHVyo1GwToBqT9I0LSRwZvOo/9l1kSacJzFjaiAcoVyaO9INqTIkARyIAASSNuuTgacY+TmM8I59OOgfXgWDq/URCbG3oNC4/eZGTXKV8YWwfU1XouPqn66CAHDGxYiRm/7vgdTN4bz/ybRDUSJ4o+jVRKrj4hhBNNuG1AXdQuX1gfcXQMRSBLBPjFeQiP56kxjbVyjlNoKQJSRmDK3jisPc5GS+W2tgSpzF4oj42U1dZbNz4/HBEUO66xJDirx+y4hM2xDxjbunqVxbTWznrbaq4DvWeGcTIoFn3npuJglnIjjmnHiSH4nPYvo+aWfl7wqlhEymoLphs9fwsGpawFUQegrJdPvsrTDUj7teNX8yQju3iWxfQ29GVFexRpT4pA5gicuJWIzitPcTrYF8qNPYN9UNgIhzNSwfjErZfMfP19K2JMs+paL9GEXVewIeYe09+3ajH82asO8+9hf1/AzvOPmH+3c7fHnI41tZbP7+g/NwI31ao4zmrvgo40JVNvPOlAzQh8+PQFnjPCODy35kbQTp8N5SLw8HWyqvAUuVRJb3KImNJ3RX4LuYo/wm8xw51K58f+H6XBH8u/hAtyKoll3Wrpa6pZjiP7tdOkQxzbSbEmUrRJ6q3ZgijEP2EvfYf5V1UV+TGHRs/f5rDK2dtIHYDZY0R7GAEBugFpByp5YWw6P4qTQlHQ1hqhw3wlcYuqnRW0F0VA+ggQonJCWK7eiBMwuJUT/KoVF6wy8Je0r3CZEork1DRmqhXdaiHASXsCcj4PoK2NpSrF19rSAiSi0fvXoxwONUNTmvnpUoMaVsKooIyVh6W/ylRDKSOw8dQ9jNt5hVHRIgcQOcpP8TxpUl4TqpuwCPAvZwrZWuP4L41ga2Ml7EQiSHv+LgVhCc9x5dFb3En8oOKj7t+gIkoVyI3k1C9ouiAK914mM5pI6XeDz8lIKgCTSsC0aY/ApYdv8M1ilmqE7NfxwUHIZW2pvRAT9QzeG481x+8ws7uXLYgdg+qZSBtxp6Xnb3Hxlups1AEo1ZVRuF50A8p+gV++/4RvV8TghlrkDRm1tIs7mjlnXy00+xloD4oARSAdAVI447sVMTh3/00GUEoVyKVKD2lcvTgaVisOUghD30YOSy0WRXOGnxnvj6J5c2otUhMP4I5B3nAvWwixd16h4/KTHFmHh/miigHFgqbvj8fKKPZluZlzSSztQqMltF4w2jFbBAjVBXEYXH36junrX704VnWvne1Y2oEiIBcEEp4kqZ5z9aZvhXZT2hz/OAmdVpzEuxSW34/oQ+gzunmVw75LT/DkLVvIh3z2dz8veEokzZJ/iVauiC0iRvqZElLZzc3nT5YThpHXX+D7NWxxM+K8JNWpC9oqMx1f/eGi52/ZfdWMojB1ABoFVio0OwToBpQ1Qm8/fgZJE1TnJSMj2rrbYW5H1+zgpZ9TBCgCeiDwPClFxQf4LOlTpqNtrCxUJOZjm1XXyxHI5+erUDQPjv3cUGdtA+ZF4Pqz98y4UUHVMKhhZfDTg6uVyIdDw3x1lq8+gB+ZRVJ8SKoPbRQBoRDgV2Ykctf1rK1yuNNGEVASAj3XxuLYtReMSaQIVMQoP6PQTRgDt/efvqDlomhV1J+2jfxm7B/iIxkuT/5FWR4bS8QFB2lrDu0HYPahq1hyjE3xbuRQHGt6yOPCJuVzGlyDQ5Hy+Suzlos7u6GFi7T5C4V48Oj5WwgU5S+DOgDlv4aytIBuQJkvG+Ha6r/hDG694L5cEUfB7sH19KrkKcuHhCpNETABAvdefsDIbZcQe/dVlrOT225CeO1iX1AnLQdvOqeKjkhvxJlIKiPq2vjFErwrFVHxAHrNDEPi+1RG3IgmVTGksWHcNiduJqLzKpYjkaQcx00JFCwtWlfbaX9lIfDozUcEzY/kRBOVLWyL8J8bSsZhoCzEqTWmREBTFHjPeuUxqaX0KwKTSN2ftlzAnouPtYYwXy4r7P6hHioWy6v1GGN3JM5Lv9/DOdPEBwfKMhXb2FhlJp+cUw7FsZWU+/lWVF2MyqX1WBuLcDVHvL7vYnKxN11Pev6W24oZR1/qADQOrlRqNgjQDSgjQOTFijgGCBcZuWFVb3YFc4NU3ixdMDd9tigCFAEjI0C+i/+cfYj5R26AOCcyazaWFqobb58qRbXWiF81b2ZbZ3xXp6zW49M78lOYyN9/DqiK30Ovc2SR6EJyeWBIe/zmo4pXUL2dGtsYJfLnMkQsHUsRAOHE7LY6Fidvs0VxCCxLOrujuQuluqCPiDIRGLrlPHZdYJ1o1pY5VJXayxUxbK82Nlq7LzxSOQD5rYZdfiQ8eccpcEL65MgBrOleG34O0orkfZfyGc6TQzlmRI70Q9kitsaGUDHyG88J5wQqzGrngo61y8jGvrXH72DK3nhGX1JxPnZsY8VfbNLzt2weUaMqSh2ARoWXCs8MAboBcZEhZMoTd8UhJO5pBsiK58upcv5J/cWQPu0UAaUhQByBJBL35K1EHE54DhIJ90WtgiOxl0Q37BxUD5WLZx/doMmRpi8/H7kkqPfrURC6gMyas10B7B3iY/CykMIi1SeG4NMXNl1GSnxOBhtIBZgEgc9pXzF0ywXsv8xGxBJF2rjZYV4nSnVhkkWhk4qCwINXyWg8JwKpaeye2qBqMVXaew7iNZNgI78D/vMicFstO4X8/h34sT7KFLbFrRfvsSX2PqJuJKq4PAkfYHCrGpKsGE9+2x0mcH/TSBEQUgyEtuwRSEr5DNcpoVB/HZIbfrdfvEejOREcY8mz7Fha+lWMs1+hzHvQ87ch6ClnLHUAKmctZWWJMTagvRcfg3BVEeLhVx9SQaLmJrZ0hHcl7aNzxAaRHIDWn7irijTiR/0RXRxL5cfybrVUL1e0UQQoAqZFgBzaftxyHud5hULKF7FVOQEL5cmaQJqkTf24+TxjRP5cVrgwMUDvNMdVUbcxbX9CpqCMaeqA/g0qCQJa4LxIXHvGFmj4rZ0zOtXWPXJREGWoENkj8DE1DUP/Ps9JISNGkd/tg0PrU6oL2a8wNSA7BKbti8eqaLa4Eukv5cjXY1efo+e60xyzCA1Gy5oZedPI99vCAshpJd2KsOQCTT3Cn7xrBzqVzG7Z6OcAjl59hl7rzjBYkGyIS5MDZFEBOF1p4gT2nX0MD16xWR4/Na6CYU2qKnqNjXH+VjRgCjWOOgAVurBSN0voDejPk3cxcXdcBrMtLXJgQvPq6O5dXlK3quSHJyzhOWYeTMjA9ZduRGvX0pjZ1gW5baT7AiX154zqRxEQGgHitCdOvINXuNG6TRxLYEW3WlnuMyO2XsT2cw8ZlfyqFcPannX0VpFULiZRJA9fZ0xTJi/kx0Y2VDlUhGh8vp8BDSrhl6YOQoimMswMgRvP3mHQxnMZKtzntLLAxj6e8Chf2MwQoeaaIwIkisp/TgSev2OLTpGMjyMjGkjSAd5lVQyO32RT9UmBqZCh9SX1bq3Lc9R6yXFcePCGGTK9TQ108Syniwiz7Tt9fzxWRrHO6zoVCmNr/7qyw2PS7itYf/Ieozd5X4oc5QdydlRqE/r8rVSclG4XdQAqfYUlap+QG9BfMfcwfteVLC3t36AixjSVBjnt5ULI79sAACAASURBVIdvMf1APGJuay4yUDiPDYJbOaG5cynZvlhJ9LGjalEEBEEgOfULOi4/iSuPkjjySDEPQiStqZGICI9ph/EhNY35eHzz6uhTv6JBOmniZCIvr4RbsKOHcHw85LJiecRtRtdApxJY3s3DIN3pYPNCgHwHlkXcUv1PPZ2coJDb2hKru3vAu7J0I/bNa7WotWIgsP/SE/yw6Rxnqm9rl8Gv7VzEmF7rORKeJKHpgihOf7lxvvGN7bP+DI4ksEUshvlXxU/+hhXM0hpQmXdssSiK8/4j18g5ch5ruTiasxqkmJpv1WIyX6HM1Rfy/K1YkMzAMOoANINFlqKJQm1Ax28mootadcqsbDV1eP/dxA+Yf+Q6h/iZr29bNzuMa14dRfLmlOKyUZ0oAhSB/yPw9G0Kmi+MwssPbMXdfDmtVOmL9oUypuzz03/JBfPJMYYX0iC8TL3Xn8ax/1ezcyiZD7Pau+hcnTi7hd16+gFGbb/EdCOFRUiBEdooAtkh8PL9J2w5/QAkUv9ZEhvtlD4ub04rrOruAa+KRbITRT+nCCgKAZINQtJq1auREgOJM7xx9RKSsXXktovYdpaNXi+a1wbRoxvJKuWTD+aYHZewOfYB8+euXmUxrbWzZDCXqiKEd9g1OBT//stquKWflyz3b/L9a74wGvFP2MtcEnyxpIu7VOE3WC+hzt8GK0IFmBQB6gA0KfzmO7kQGxBJfwuaH4U7iR84QPqrXpr+xZGE55y/F7S1xsGf6qNUAWFS4rRdvYevk7Eo7Cb+OfcwQ4W0dBmkgtrklk409UlbUGk/ioAEEAiNe4p+G85yNKlTvjA29fWElaUF5++9151G2FV2T6pfpSg29PYUxIqUz2mIuP4CpJKkT+VisLHizi3EJPybcsJTf3lyIIjzhjaKgCYESHrdnyfuqqrbqxc7UO9bvVR+LOnshorFsi+iQ1GmCCgRAcItGzQ/khMdXjRvThwaWl8Sl8HE4eM54whSPrMFS4b6V8FQf3lzpc0JvYZFR28yj1SQU0ks61ZLiY+YoDYdjn+Gvn+q8f9ZWeDSJHnx/6kDwqeQIu9RMWMaS+K7J+jC/V+YEOdvY+hFZYqLAHUAios3nU3ADWhR2A3MOXydg+mPjSpjeEA11d82xNzDBF5qsFfFwtjUx0tv0n1dFvBZUgqWHLuJzbH38TlN7apMTQjhm/g5sCpa1bQTRSdd9Kd9KQIUgewR+HnbRfyjFhlBRvzYuAqGqxFJkwgozxlhnArCczrURLtM0oWzn1X8HsTJ6DTpEOcSY/vAuqhVjvK1ib8a0p2RXMztvfhEFe136eHbTBUlEbCEm3d0kIOso4ikuxJUMzkh8Pfp+xi9/TJH5YbVimFN99omfzfkO0isLHKooteL5ZN3pgrfLo9yhfDPQG85PTYm0TV4bzzWHGf5/+pWLILN/bxMoosQk75N/ow6M45waCnI79LAhsIUUBNCRyFlUAegkGjKVxZ1AMp37WStuaEb0P2XyWgyL4KzYbuWKYgdA72ZlyUS2j1403nsv/yEg9XEFo7o5VPBaPg9f5eClZG38efJexl4jtInJamCg/wqo2e98vTwY7SVoIIpAsZHgBC5N50fxakmSKLjNvb2ZPjMlkfcwsyDVxllcllb4Mz4JrKLnuNXAp7aygnd6pY3Psh0BskjQIrjbD/7EAvDbuDx25Qs9a1XuQgmtHCEQ8n8kreLKkgREAMB8r5Koqr4mSum5qUjejVbGA3CAZjemtYoiT+6yj9S7sDlJ6piROmtXBFbRIz0E2O5ZT0H4YJUfx7IZSe59JRzG/b3Bew8/4gxgaS4R41qpMgijIaev+W8zlR3FgHqAKRPg0kQMHQDGrDhLELi2CqcJJpgz2Af1LArwLGH3Ow0W8g9nJPD94Ef6wuecnT7xXusjLqN7WcfZZruROYmUQ/9fSuBFPugjSJAEZA/Aufuv0aHZSc50XG2NpYqHhni7P9uZQwnCvibmqWx8Ds32RnOf0mWIlm97EBVgMKkqu+Qzedx9em7TK0haektXErh+7rlQS7raKMIUAS4CLx490lVaCPxPcuTSS6TSBSgn0Nxk8B18cEbtFpynDP3+l510EABRRLO3nuFdn+cZGyzsbRAwtQgRVeANfQhItzHdX8N4/D/keq/pAqwnNv5+6/RZukJjgnjmlVHX1/DirRJERNDz99StInqpDsC1AGoO2Z0hAAIGLIBnbr9Ep1WxHC06OFdHpO/cdKo2clbL1UHcPXmXragqmQ9n6dLV9PI7Sg5/K+KuqNySKqT4qrLIi8WnT3LYpBfJRTPl0vXaWh/igBFQOII/BF+C7+FsFF+WakrV8LsVVG3MW1/AmOai30B1cULbeaJAPn923rmASbtiePwg6mjQWguuniVRSePMorlVDLP1adWGwMB8r7adfWpDJdJm/p6mcRxzi+UQb7PUaP8TJ6WLAT2rz6kwn3qYY6oyJF+KFskYxEvIeZTgozFR2/g91CWeimPjSXOTWyCnFaWsjev+5pYFZdyeiuSxwZRo/1ga6MsnmNDzt+yX2RqAIMAdQDSh8EkCOi7AZGKl+Q28vIjlluIRNKRapQFcltnasvkPXFYd+Iu5/OsnIbZgfIxNQ17Lj7C+hP3ONWj+OMIV0rH2mUw2K8yShcUt/hIdjbQzykCFAHhECB7U78NGVO4+DP08amA8S0chZtYREknbiais1rVdRLVFT8l0OCLFBFNoFMJhMC7lM8Yt/MKSHVrTY1EhJBnnVQytSQh+rRRBCgCWiHAp4wggwrZWmPbgLqoXDyfVjKE6PQmORXevx5FcmoaI04J6Z7pxpALDNfgwyBFTtLb2p614VfNNNGWQqyZMWWQd5wGvx/Dg1cfmWmUlAWgKQpQiVyA+p6/jflsUdniI0AdgOJjTmcEoO8GRDiGRmy7yMEwuJWTKq0oq5ac+kWVWnHvZTKn2/Q2NdDFs5xWa0JeFuIeJ2H7uYfYce4R56WBL4BE/LWrZYeBDSrT20St0KWdKALyRyD1y1eM+ucidl3Q7BQhaVNretSWrUPk9YdUuPEiJkKH+aJqCfEOpfJ/SuRvwaWHb1Qpv/zfU2JZtRL5ML5FdfhULoocJH+RNooARUAnBMi75k9bLmRwrpPL7tXdPeBWtpBO8vTtTIrYzT50jRlOHPnRo/1QqoByLrNbLzkOUq08vRmbI1zftZDCuOgbiaroVPW2c5C3aM+jGBj0WBuL8GtsFCChcjkyvIGiAjj0PX+LgT+dQzwEqANQPKzpTGoI6LMBEX6UgHkReJ3M3tZVKpYHIUN9YW1pkS2+5HaHpA6TQ3p6Iy80IwOroV/9ipmmNDx+8xG7LzzGzvMPcf3Z+yznIXxfXbzKoVe98iien6b6ZrsotANFQGEIkFvyOYevYWn4LQ4lgLNdAWzs64n8uTKPVJYDFN4zwzhFHuZ1qok2bvZyUJ3qaCACxDGx5vhd/HowQWNl+25e5TCueXVa2MpAnOlwigB5T+3z5xlEqqUkElQIj/S8jq5o6lzKqCCRat4+vx0Dee9Ob3Llrs0KqOFbL6gu9NMb2cOmtq5hVGzlKvyHTeew/xJbVNGhZD4c/Km+oi56yOXWN4u5nJcB/2vvPKCkqrK2vSUHQYJEyRIkyCA5qICYFUXEiCJiFnPAPEZGHTPGURCRIAjmgBkjUREBFRQFCQoKioCCkv71nu+/bXV1VXXV7Vtd6dlrzRrpuvfcc573xn323qdVLXt8UMdMla1Av/18f2fN4BlIHgEcgJwMKSGQ6A1IHx7njZubb+EPdVyzoUoxitfkxLt0Uv4IQu3btUk1O75jfbcq4U7bacvW/unSjPXy9VXI6mfRjlO/WnnTi8OJnRtk/Ad+vCzZDgIQiE5g1frN9sPaP9xK4OXLlLR9GlTJijo5Z45RmvOavIGftV9ju+6IzExp5vyNn4DqZV05+Qt7d9HPBXaqVK6U/ffYtkl3SsTfW7aEQOYTUObKwJGz7PPl/0SoeaM6qXMDu+HIlkmrT6bansOmzM8H8dULCy60l+mUw2vaaYXy8Wd2zfRhBd7/nzdssR53vpdv4ufGvq3s9B6NAz9Wqhu8+rn5NnHOinzdeGJQRzuoVfzfmqkeQ6zjJ/r9nc5joW/+CeAA9M+OPYtAINEbUCTH3eF717ZHBnZIuBcq1K+C/UGYUvpO697QejavmbFpfUFwoA0IQCA3CNz79jc24t1v8wbLB1P26/7JkrV2+bNf2OoNWwoMVo7tESfuY/WrUTg/+88ERljcBDb9tc3OG/eZffTt2gKH1oIcirg9rE3tQKOwtm7f4UrmLPn5n4yX7ntWNy1Ekm2miDZFtnlWd7dyNv2aPtk2zCKPR5M/kz9bmdeO6v/OvraPValQpshtp1sDqn3Z554PbN0ff+d1bfddy7poxxqVyqZbdxPuT6Lf3wkfgB0yggAOwIyQKfs6GXoDGjbmPbv5pP2jpg29sXC1XTBhrm3bsTMPhGqhqPaUbsqJmlL0Hnj3Wxvx3rdRV+2N1aZeuvq338OObV/PGu1eMdHDsz0EIACBjCWg+/G54z7L679WAfz83webPgiw7CKg4vhK931mdv5oCG+U5/bc0y4/uHlcJTiyiwyjgUDxEZBD7prnF9iUEAdM6NE7NKxqF/VpZvs3C6buZnjtPx0rWxfH+PqnDc7ZGWpf3XJI0iIri++sCe5IC1f9bn0f+jjf99JJnevb7f3bBneQNGvp+bkr7bJn82eL7ddsdxtzeueMXwEbB2CanWwp6g4OwBSBz/XDht6A9jjvKWtQv54N6t7IOdW8GRbNfI6d8YPd89bifM4/sXv45PZ2RNui1UBRQdtLJs2ztZv+qXESTRelOB3epo5z/HVqVC3jHwC5fv4xfghAwB8B1YTqNPydfDtPOLOLdW+6u78G2SvtCKj+2LiZP7hJsvUhNXe9jlavWMbuPaGdKQIegwAEkk9AZXCUlnvTy1/Z5q3/rMobeuRWdSrbqd0ammr1VSxbylenvl2z0Y4Y8bH9vf2fWtkt61S21y/aN9AoQ1+dS8JOm//ebi3//Ua+ll+/aD9rVbdyEo6WeU3qvFPt9NlLf83rvCb9pl3Zy2pWyt465xr3kKfm2LSQBUEEQDXjh/ZumnlChvQYB2BGyxdY53EABoaShhIhEO4ALFX5n4/HelXLW/nSJU2Lb/zxd8EXnVO6NrDb+u2dyOGibisnoyJa3lj4k836/lf7c+t2042/WsWy1rJOJVPh/v2b1zDNsMaz0EggnaIRCEAAAmlM4KiHPrb5K3/P6yF1ANNYrAS6poi/SXOW25MfL4uY7qumlAp4/wntWOQqAa5sCoGgCCxd+4dd9dz8fA6Z8Lb1/nxAy5p2aOvabjXuqhXjS9NUnc9BT86yhas25DVZYhez58/vYe3qVwlqCGnXTo873jPV7PUsiACDtBukzw49PWOZ/fulL/PtPezQFnZ+r8x2gsWDY92mv+zwER/Zmg3/BIloYfvHT83seoA4AONRP/u3wQGY/Rqn5QhjOQBjdfjkLg3stqPbEIGXlqrSKQhAIBcIhNcBbFpzV3vnsp65MPS0G6PqFckZu/K3zfbzxi1WsUwp261CaWtYrYLtVaey7VY+9qrTWmhg+pJ19sr8H91kmBatiWSK+rj6sL1sYJeGPH/T7iygQ7lEQJPUry9YbbdP/dpd97FMDosWtSpZmz12M0XyaWK7Ze3KVqVC6byIvu07dtqspevsysnz8znC1O45+zexaw5vmdV4Txk5yz5e8k+NxcsPam4X9mmW1WOOZ3DzVqy34x6bnm/hDwVo6FlfrnTJeJrI+G1mfLfOBo6caSEVqKxCmZI2+dxu1rrubhk5PhyAGSlb4J3GARg4UhqMh4AfB+CQHo3t+iNa8vERD2C2gQAEIJAkAp8v/82OeWR6vtY/GtabhSCSxDu8WaWtvfzFKnt1/k82/bt1pg/4aKaatfro37PGrq5mbtnSJUyR7z+t32KqfyXnYWi6X6R2tMiAFhuoV5WFPopJYg4DgUIJKFX/xc9X2cPvL7Ef1v1Z6PahG8ihX7NyOZODcN2mv03Rv+HWePeKbuGDbHf23PDiQhs784e84fffZw9X4iCXTZNJxzw8vYBD+MnBHe2AvbJjNdx49Y1UE7NW5bI25dzuGfnOgwMwXuWzezscgNmtb9qOLvQG9PrMBTb1+632ztdr7M8IKb8Ht6pl5/dumtUpCGkrFB2DAAQgEEZADifVAVTKmGe39mtjp3ZtCKskElj9+xZTStaE2csj1uYL+tBdGlczpXt1aFgt6KZpDwIQCIiA7scffvOLq9v5/je/xJwQiPeQtSuXszFDOluL2pXi3SVjtxv9yVK7+ZWv8vr/r/pV7KWhPTJ2PEXtuOqin/T4TPs2ZBVotXlOzyZ2zWHZHQ0aiZ0ibi+f/IU9P3dVvp8bVq/gIgEzrRYiDsCiXiHZsT8OwOzQMeNGEekGtG37DvfAWbR6g5UsUcKqlC9tzWrtanV2K59x46PDEIAABLKZwKWT5tkLn//zQtxnr5o2anCnbB5ySsamFUCVhqRVCRXxty1GtF8QHSxVYhc7uHUtO2u/JrZPg6pBNEkbEIBAMRFQ3bI3v1xjb3652qX1btkaOaU/VnfaN6hij53aIeMcG34Rv7/4Zxs8ek7e7lr0b/6NB2floieFMVqzYYsNGjXbFq/ZmG/Tzo2rmRb7KlWyRGFNZOXvf23bbqeOnG2zl/2zGIoGqvT68Wd1cdH1mWI4ADNFqeT2EwdgcvnSehQC3IA4NSAAAQhkLoGX5q2yiyfOyxtAmVIlTGnAtSpn78qAyVZLkTxL126yL3/cYF/9tMG++vH/UnQjpeeF9qVsqRKmOoyaLNOHilZq/u6XTflqN8Xqu5x+WujqkNa17eh2da16Bn3MJFsT2odAphLQveCLFb/bwlW/u/uJUv6/XbMpasq/nBlH71PXzti3sZUtlRs13qTtil//tP3+Oy2fzKpzp3tqLplKe5wz9jP7eeM/i15o/A2qVbApinTL8We76u2e+PhMW7Q6v3NU54mco5nCh+/vXLqqo48VByDnQUoIcANKCXYOCgEIQCAQAnoZVhrw1u3/1J87rVtDu/noNoG0nwuNqBbfzO/W2SffrbXPl6930e+JROxohfoTOta3Xi1qWMWypfIhU30wOQH10a8PFqUPr/vjL9u6badVLFvSqlQo4yLstSBAh0ZVrXK52IuF5IIejBEC2U5AEcWq//nj75tdCYddzFxUl+qE5mqNT6V4drv9vXwrn6ve+Jn7Ncn208GNb8eOnTZ6+jK7841FpudGqNWvVt4mnd3N6lYhE0tcVBvxuMdmFKi52ah6BXvq9M7WaPeKaX/O8P2d9hIVSwdxABYLZg4SToAbEOcEBCAAgcwmcO0LC2zCrOV5gyhTsoRNu7KXaeGJdDN95KlQvqLplEZbs1LZlBTwVj8+X7Hexs9cbq/O/zHqqrvR+Cnar3/7ejakRyNrViv763Ol23lEfyAAgewjcNWU+Tbp0xV5A9uv2e429owu2TfQsBEp+vGKyV/YrKX5U1u1mSL/JpzVJWcdw9HEF7OTnphZYAVuraz9+KkdTenS6WwfzVtk++/zf7UcV6xYYfXq1Uvn7tK3JBHAAZgksDQbmwAOQM4QCEAAAplN4Mf1m63XXe/nSylTRNqdA9qmzcB++n2zPTN7hSllOXylTKXuHN6mtp3cpaHV3i25qcuK9tOKneNnLXdReYnav+rtZke0rWMDOtS3ahXLJLo720MAAhCAQBQCUxf8ZOeNn5v3qyaz5t14kFUokz+yOlsAaiJKi0kNf+3riIsvdt+zuj18cnuryrMmouR69xk4cpYtXftHvt9Ll9zFhh2yl0ujL1FC8bXpZ5eNftfuG3IgDsD0k6ZYe4QDsFhxczCPAA5AzgUIQAACmU/gppe/tKemL8s3kKsP28vO7blnSgen+ldPfPi9PTRtSaFptYqqG9y9ketz0B88qr8lp58ckJFWuY8EqVblstaqTmVrVbeytaqzm7VrUCUtoypTKjAHhwAEIBAQgQ1btlr7W97Ot8jSqNM6Wp+WtQI6Qvo0s3j1Rvv3SwsjRv2pl3Je6RleOkcX/IhXqZ83bLHTRs+JOKG3b9Pd7ZajW1uTGulVR3LL1u22z1XP2KL7TsUBGK/QWbodDsAsFTbdh7Vs2TJr3Lix6+bs2bOtTp066d5l+gcBCEAAAmEE1m7cYv0fnVGgdtBR7erawC4NrGH14q+JM/27tXbfW9/Yit82J6TXrmVLumjAEzvVtwphNfUSaUj1Ed9b/LO9+sVPbiGPWKaIgbb1qrhFOFrvUdma1dzVqlXMnBUFE+HCthCAAATSlcC54z6zecvX53Xv2PZ72JWH7pWu3U24Xxu3bLUnPvrenvtslWnBqXBTFLxqH3ZslN4prAkPPIk7/PHXNudM/WTJugJH0eJa/dvvYSd0amB7VE2PsiivzPvRbnn2E1s99jLX36VLl1qjRo2SSIim05UADsB0VSbL+zVnzhzr3Llzlo+S4UEAAhCAAAQgAAEIQAACEIAABNKHgAJwOnXqlD4doifFRgAHYLGh5kChBHAAcj5AAAIQgAAEIAABCEAAAhCAAASKlwAOwOLlnU5HwwGYTmrkUF+2bNliCxYscCOuUaOGlSqV/oV2f/rpp7yoRdKWM/tkRcvM1i+092iJltlDIHtGwnWJltlDIDtGwjWZHTpqFGiJln4JbNu2zX755Re3+957723lyiV3ATS//WS/5BLAAZhcvrSeRQRYuCR7xERLtMweAtkzEq5LtMweAtkzEq7L7NASHbNDR40CLdEyewgwklQQwAGYCuocMyMJ8MDNSNkidhot0TJ7CGTPSLgu0TJ7CGTPSLgus0NLdMwOHXEAZo+OaJldWmbSaHAAZpJa9DWlBHh5Sin+QA+OloHiTGljaJlS/IEeHC0DxZnSxtAypfgDPThaBoozZY2hY8rQB35gtAwcacoaRMuUoc/pA+MAzGn5GXwiBLhJJ0IrvbdFy/TWJ5HeoWUitNJ7W7RMb30S6R1aJkIrvbdFy/TWJ97eoWO8pNJ/O7RMf43i7SFaxkuK7YIkgAMwSJq0ldUEuElnj7xoiZbZQyB7RsJ1iZbZQyB7RsJ1mR1aomN26KhRoCVaZg8BRpIKAjgAU0GdY2YkAR64GSlbxE6jJVpmD4HsGQnXJVpmD4HsGQnXZXZoiY7ZoSMOwOzRES2zS8tMGg0OwExSi76mlAAvTynFH+jB0TJQnCltDC1Tij/Qg6NloDhT2hhaphR/oAdHy0BxpqwxdEwZ+sAPjJaBI01Zg2iZMvQ5fWAcgDktP4NPhAA36URopfe2aJne+iTSO7RMhFZ6b4uW6a1PIr1Dy0Ropfe2aJne+sTbO3SMl1T6b4eW6a9RvD1Ey3hJsV2QBHAABkmTtiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkGYEcACmmSB0BwIQgAAEIAABCEAAAhCAAAQgAAEIQAACQRLAARgkTdqCAAQgAAEIQAACEIAABCAAAQhAAAIQgECaEcABmGaC0B0IQAACEIAABCAAAQhAAAIQgAAEIAABCARJAAdgkDRpCwIQgAAEIAABCEAAAhCAAAQgAAEIQAACaUYAB2CaCUJ3IAABCEAAAhCAAAQgAAEIQAACEIAABCAQJAEcgEHSpC0IQAACEIAABCAAAQhAAAIQgAAEIAABCKQZARyAaSYI3YEABCAAAQhAAAIQgAAEIAABCEAAAhCAQJAEcAAGSZO2IAABCEAAAhCAAAQgAAEIQAACEIAABCCQZgRwAKaZIHQHAhCAAAQgAAEIQAACEIAABCAAAQhAAAJBEsABGCRN2oIABCAAAQhAAAIQgAAEIAABCEAAAhCAQJoRwAGYZoLkand++OEHGzFihL322mu2YsUKK1u2rO255552/PHH29ChQ61ChQqBoJk6dao9/vjjNmfOHPvll1+sRo0a1qlTJzv77LPtsMMOi+sY27Zts5EjR9r48eNt0aJFtmnTJqtbt64deOCBdtFFF1nr1q3jamft2rVuzC+++KItW7bM7dOoUSPr16+fXXzxxVa9evWY7YjT7Nmz3Vj0/5999plt2LDB7XPjjTfaTTfdFFc/gt4ILRPTcseOHfbxxx/bG2+8YdOnT3fn1K+//mrlypWzBg0a2P7772/nnnuutW3bNmipCm0PLRPT8ueffzbdY3RNzp0713766SfTdf73339btWrVnIa6vgcNGmQVK1YslH+QG6BlYlrGYn/CCSfYs88+m7fJ0qVL3b27uAwtE9NSz9fGjRvHJc9pp51mTz31VFzbBrERWiamZTjzr7/+2p588kl788033bvjli1brFatWta0aVM74IAD7OSTTy62axMtE9NS90wxS8SK616Llolp6Wm4ceNG93308ssv28KFC+33339377INGzZ077LnnXeetWnTJhHJi7QtOvrTUd+Sjz76qNNR99g//vjDatasaV26dLEzzjgj7u/lIonHzkklgAMwqXhpPB4Cr7zyip1yyil5zqvwfZo3b+4cg3qh82tyssjJN2rUqKhNnHnmmfa///3PSpQoEXUbfcwffvjh7gM/kslx+dBDD5naimWzZs1yjoDVq1dH3KxOnTrOMdi5c+eIv+uhFuuDM1UOQLQsKFdhWsrJpw+XWKZz8oorrrA77rjDdtllF7+XQUL7oWXiWurF96yzziqUs16Gn3vuOevQoUOh2waxAVomrmU07q+++qr17ds338/F9VGqg6Jl4lqmqwMQLRPX0ttj586ddv3119t///tf06RsNLvvvvvskksuCeI2GrMNtExcy0QdgLvttpt7Z5ZDKZmGlolrqT0+//xzO/roo2O+z5YsWdKGDx9uV111VTIldG2joz8dZ8yYYccee6ybwI5mZZAJ9wAAIABJREFUmsTWxIv0xDKTAA7AzNQta3qtB0aPHj1s8+bNtuuuu9o111xjvXv3dv+eOHGiPfHEE26scgJ++umnVqlSJV9jV7tynsj22WcfGzZsmIsw/O6779wLpPoh03b/+c9/Ih5j+/bt1qtXLxetJevfv7/72Fdkjxx6t912mykCSM4afSRGiyiUs0cf/opALFWqlF122WV25JFHuja137333uteaDXboqi+evXqFehP6AeNHEIai6IQP/zwQ7dtKhyAaOlPS50DOrfk4NZDV9eDtNQ1MG3aNNMHzG+//Vbo+enrwoiyE1r601ITDHfeeae7T+g+s8cee5gcwIpKkdN+3LhxLlJFVrVqVTdDLq2TaWjpT8tImijaWxHey5cvd/dn3e9lxeUAREt/WoY+L/Wc1kdqNNN1qes22YaW/rT0dNG7lyZcZHqfGjJkiO29997uPVLXpbIiNMly+umnu4yKZBpa+tPym2++cdHxseydd96xSy+91G0izZXBk0xDS39arl+/3vbaay9bs2aNk8eL9mvSpInLgnj77bft4Ycftq1bt7rfn3nmGTvxxBOTJiU6+tNx8eLFLspPkZv6llUwy4ABA1xGmt5zFBX47rvvOt3OP/98pymWmQRwAGamblnTaz0kPvroI+cIk/OqW7du+cZ21113OWedzK9TSy8Z+miTU61jx47uOOXLl887zp9//mk9e/Z0Dkb1Q+HOkaINNduh0OdoN74lS5a4F1GFTmt/taP2wk0zJ2PHjnV/VhrZcccdl28T/U0pZrJo6Ujr1q2zxx57zEUIakz6aHn//fed87QorIpyYqGlPy27d+/uzu2DDz44YnSfnNS6LjyHsR7QeqlKpqGlPy11j4l0zYdqdf/99+d90OjDRg7/ZBpa+tMykiaKJHrggQesT58+bmJmzJgxbrPicgCipT8tQx2Ao0ePtsGDByfzkourbbT0p6Xghr6LXXvttW7yNVpkvBxMZcqUiUsTvxuhpX8tC2MeWm5B3wr77rtvYbsU6Xe09Kfl3XffbVdeeaVjr2+a0BIZniBKJ/UmX/RNpgnQZBk6+tNRwSjKuJNFelYq8lqTLSqToXuugl9URgvLPAI4ADNPs6zpsWZoNdMgO+ecc5xDK9yUuqt6EXKmValSxc3sli5dOiEGmqXQrIVMoc1du3YtsP/MmTPznI/RZjVatWrl+qGIP0XxRapLqChDRRHKIjn3lL6g6AKN65BDDnF13yLZoYce6iKFNAOzatUqq127dqFjTqUDEC2D1TJcbKWVX3jhhe7P99xzj4saTZahZXK1lJNQDntFk8l5H62cQBD6omVwWmqCSM8rPX/mz5/vIsWL0wGIlv61TDcHIFr611I1xlRCQVHxRxxxhMuaSKWhpX8tC9NNUUh691UEvSY9NRmaTENL/1oqI+qFF15w8uj5qGjcSNa+ffu8jCsFS/jN6op1HqCjPx0VZKD6qXLyKRPJy3YLZ61oT02Aqi6gspamTJmSzMuStpNEAAdgksDSbOEENHN7++23uw3lgPOcgeF7hjrV5BRTpFS8phuZblQ//vijC0+XAy+a6XdFV8lBJwdf6IyyoghbtGjhdtWCDJ5DMbwtOfiU8ic76aSTbMKECfk2UfqCnJ0ypTh7kX7h7eg37S9TXULVLyzMUukARMtgtQzX+ssvv8wrnJzssHu0TK6W0laLDyktRpMbCxYsKOzS9v07WgajpZy2muWeN29eXiS6osiK0wGIlv61TDcHIFr611ITxVpIQKZFs8KzRnzfLH3uiJb+tSwMuUoAee++WtROmRLJNLT0r2Vo5JgmN6MtcqboQM9hpHegwhY79KM3OvrTUQEpXukqRVVfd911UfFr0UulAisQRo7DoBbq9KM3+/gjgAPQHzf2CoCAF6KtB4VmFKKlzilqT2mSsn//+9928803x33077//3tXHk0WLMvQa0+9efRHtF7pqYGjKSWG1K+QolMNQizuEr3AWmv6rAqvRIvv0m1cbTPt4H5qxBp5KByBaBqtluM5aUdZbMEKRgFo9OlmGlsnVUi9NenmSqbbK5MmTkyWlq8OjtCnusQURJ3KPVZ1YFS1v1qyZc9hqsafidgCipf/rMt0cgGjpX0ul37/33nu2++67uw9Pz5Qdoogi1easXLly0u6p4Q2jpX8tCxNpv/32c1FImoxXiZ3iKn3C8zLx5+Xll1+eV84knghAOf7kAEyGcU36uybHjx/vFuSUyfkeazHLgQMH5gW4fPDBB+5dE8ssAjgAM0uvrOqtFwXzr3/9y0VWRDOleijtVhattkS0fUNXbCxsNTj97qVWqgaCVvv1TCuwKvVSpuKy7dq1i9pf1bhQrQu9tChdJXQmTCl/WthDq5nJ6RnLtI1eaBV5opD2wiyVDkC0DFbLcK1Dz81HHnkkLwKisHPCz+9oGbyWug8oqlhlAVTzT/+WJbumEVoWXUvV91OkpmrFqpC557wtbgcgWvrXMtQBqBQ0pRauXLnSOXKVISBHgyKN9FtxGFr601KlU1QKRvdP1TvWZIrKY+j5qOvUM71TaqJMC4CojEoyDS39aVmYJtJTk/fK4tH16S1wV9h+RfkdLf1rqewqpf1qQTtlNimLKdz0XeUteKjoMkWZJcPQ0Z+OL730kvXr189JopqOcupGs9CIT2XEKTMOyywCOAAzS6+s6a1qengLccRTx0Uru6negOr3KSIwXgtNF1GkjSJuopnC0r0FObSfl6qr7bVa1aRJk9yumnXW7HM0u+CCC/JWRlq0aFFe6rC2V8SfVsmKpwCuPjqV+ql9Yi3H7vUjVQ5AtCy8mHGiWoaeW3I8tGzZ0q08qg9WRacma+VYtAxOS6UsRYtWLlmypFtMYujQofHeyhLeDi2D0VK1Wt96660CJR2K0wGIlkXTMtQBGOtC0jNf16Xus8kytPSvpTIqGjVq5KRR7Sk5BL26Y5H00mSsJl2StQgIWvrXsrDrS89OPUNlhUUjFdZWPL+jZdG1VLkivdPICSgHve6n3irAWs1ZznotyqNnqlbojpYmHI9e0bZBR/86hpa66tu3rwtkiWTSUKWyvAhO1b1XTWQsswjgAMwsvbKmt3KiKVVDFm22KHSwKkyqFI9Ea2aFriI8depU0+Ia0Uy/e1F/4bMfclK+/vrrbtfNmzdbuXLlorajVDGljMlUON5L3dS/9cCTQ0f1DlX3MJZpG0X+yfnpRQzF2j5VDkC0DF7LUJ0VyaAXJ5kiVL1I1GTcDNAyOC2jOQCVwiY9VXM0mYaWRddy3Lhxduqpp7qIbdWH1XPIs+J0AKJl0bSUA3CfffaxY445xnr16uVSufUM18SanLujRo1yi/LITj75ZFMqVLIMLf1rqewLL0pT+uljv3nz5i5aRboq60LpaMrY0OSrLJkrraOlfy0Lu76aNm3qFv1QoIBqayc7rRstg9FSi5qpbvvzzz9fQGJFdKo+n8oaRSv5VNh5Udjv6Fg0Hb1a+Iqc1r000qrbqt0vHT1T0MuDDz5YmDT8nmYEcACmmSC50h2lw6lGnkwfWE8//XTMoWtb7aMHiGqBxGu33nqrqxsoU7rIAQccEHVX1ZXRx7lM+11//fV523p1Z/QHzW7FSivR8bS/LDzFT5E/mrWOJ6XBq2OhfVSEvjBLlQMQLQtPT0lUS0/r0JocigJU+rgXOVvY+eDnd7QMTktNWOh/MkUvK0VG97lp06ZZ27ZtXb3RaAsf+dEufB+0LJqW69atc5G3+qB4+OGHTYvvhFpxOgDRsmhaKmJBz9Bohcq//fZbl9qtKGuZUqGOOuqoIC7DAm2gpX8tVQ9O706eKTtC9caU8hdqikxRGrAWf9Oq3YqaV6p30IaW/rWMpYUWd9EqpDJl36judrINLYuupUoWKQBCix/qv8NNDvqePXu61F9P36B1Rcei6RiaCSenuyL7FG2tmo2aSFMJIkXJ676q56rsjDPOsJEjRwYtJe0lmQAOwCQDpvnIBJilKdosTSSqqXIAomXwWkpf6amI1b/++svVwNTHjxwSyTS0TI6WoZoNHz7cTS4ogkWOhkRWNU9Ee7Qsmpaeg69z586u7ET4pE9xOgDRsmhaxnPdaLLOK2QuZ6DqPSbD0NK/lsqoUE1kz1RPVRF+kUxOe0WmyPTBetFFFwUuJ1r61zKWGKonpnRSWWGZO0GJipZF01JRmrpvqmyRJlpuuOEGO/74461+/foug0k1HPW3hQsXupR8TYYq+ytoQ8ei6Sg9brnllpgrbut75Oqrr7Zhw4Y5+S655BJXhxXLLAI4ADNLr6zpLXUa/NdpiHYSpMoBiJbBa6kPHUWr6sVJKeCqn5LMaDHvnELL4LWMdL166f2KbFaaUzLSYdDSv5ZeNLiir5XSpPTRcCtOByBa+tcykZcm1eb96quvnHNeUbvJWEACLf1rqTT80NIJciZIs0imTBGlesu0suXYsWMTORXi2hYt/WsZDbAmPOvUqWNa/E//r4gu3YeTbWhZNC1VP13RY4ry0/NTKfnhpjILmlBTNoSchIrMDS2rEYTG6Fg0HT0NpKFSueW41TUpU/aRogH1dwUkKDpXpnqdXqZdEBrSRvEQwAFYPJw5SgQCWkhDaVasAhz59MikVYDR0t+qW5GU1wyq0iR0bagYvVZO81LTi+NGgpbBaRlNL6VVaBU82SeffGLdu3dPirRo6U9Lb+EPOWo1ux3JtPKdtzLliBEj8tIQvZfioAVFS39aJqKD9xGrfZS+H55amkhbsbZFS39ayilbqVIltzKsTKs5R6sNp49Wr1azruc33ngjKPnytYOW/rSMJkZoCqJWIVV9x+IytPSnpZy1YqfyRgcddJCrqxrNQsva3H///XbxxRcHLi86+tMxkhC6j6pWru65WvjDW1BJadyK6JTpmpVjEMssAjgAM0uvrOqtVxdNC2OsX78+ahSM0q+8D2TNMkRbWTMSHM0wqW6gTCtSaXXfaKbfVZdLpv0aN26ct+mTTz7p6hzIVI8k1kdeixYtTKspKbpHq9aFmorfejPRuqmqhk0k02/eSq/aZ8yYMYVqn6oIQHUMLYPRUtFgqnEk/RUVpgerVjIsTkPLYLSMpZlWNTz77LPdJqqXc9JJJyVFYrT0p6WiF1QA2495zgk/+8baBy39aZmIDkpZmzx5stslmQ5AtPSvpd7LVItK9uuvv1rVqlUjSqzF1rxVRrWI26uvvprIqRD3tmjpX8tIkFV785VXXnE/qb7j3nvvHbcWRd0QLf1pqQUNu3Xr5vCrBqAixKKZFufxStko1VsTaUEbOvrTMREdtKDWiy++6HZR7VylemOZRQAHYGbplVW91SpCWk1IpgdItBRHPUy0zLjszTffTKhmlj7GVPxZxaCVOqLQ82imh5IeTprlUNqBQtk9C10ePdZDS3UwlLYg00e9Pu5DTQ5GORplEydOjFoDQ795TgHVQvGcBbFOgFQ6ANGy6FquXLnSOf/0caPUMzmKtSJlcRtaFl3LwjQLXSH45Zdftr59+xa2i6/f0dKflunoAERLf1omcuG0adPG1bBS5LUcSMlIAVZ/0NK/lqeddlreonEqldGhQ4eIEi9YsMAttiTT+5NXUy6R8yGebdHSv5bhfFW/Te/fW7dutXbt2plWfS5OQ0t/WobW5iwsajP0ukzW6rHo6E/HeK81lSZS6vbmzZud41eL9mCZRwAHYOZpljU9nj17dp7TL1p0nkLK9VIux12VKlXcrLxWH0rEtHqjN8ukaMKuXbsW2D10Bkvbq4B0uLVq1cr1QwVQ5SCMtKJgqLPy2WefNaUUhZochHrB0bhipaVo8Qc5O/UBsmrVqqiRgqFtp9IBiJbRU4zi0VLntWYtVeNIJkfxWWedlchpHti2aFk0LQsTQte+yh6ofpVs6dKl1qhRo8J28/U7WiZPy+KsASjx0TJ5WoqvUvH33Xdfd52p5ILqribL0NK/lpow8aLiVUZBqWiRTJkimmiRaTJNdQCTYWjpX8twPVRKwUsJ1aIC0covJENH7rH+v0m06nbNmjVdmqhq/M2aNSuqRA899JBdeOGF7vd77rnHLrvsssDl5JoM7pqMJE6og3XcuHE2cODAwDWkweQTwAGYfMYcIQYBL1Rb6Y6qp+SFkXu73HXXXXkrDd144415L3Te76FOL80MP/XUUwWOpug9Oe+2b99uHTt2dMdRMVPPNIuhfmgWS/1QEXCveHRoY6FpwEOHDjU9yEJN6Zvt27e3DRs2WNOmTZ2zMFJx/9A0YKUbDRgwIF87+ptSkWTRxhQJaSodgOoPWvrTUunvvXv3tnnz5jlZU/HiG34+oaU/LZXaO2TIkKhFy+X80wy5at/IFPHp1ZFL1oMCLf1pWZgexe0A5B5rLj3Xz/NSqUpyGoVG9YfqqwUj5PRTKpPsueees/79+xd2ChTpd65Lf1qGTqAoxVfOhvCFQPTuJUeEFh1QHUdF1UeasC2SgCE7o6U/LcP56/38s88+c+/NmviWU6m4DS39aakyTQqwkOk7TN8u4aaSSArAUCCE7sW6TlUyKRmGjv50VPStaquqjmIkUw1HfcPqPqxa5dOmTYv6XE2GrrQZHAEcgMGxpCUfBBTi36NHDxdKrNVONbMgZ4j+rTRYryZf8+bNnYNOBaBDLR4HoLZXCrFXl0IrOqpOhWoDyml355135qUaaDsV6I9kciDqhqdIAZmKnipKSzVoNON06623ughFRe2p3sxhhx0WsR1FDyptRekOetGRQ+DII49022o/zYpt27bNvbjOnTvXpTBHMhW11oPUM6Uvaywyfez069cv7zexDf9w8iFXzF3QMnEtVWBXq/16IfSaSbv66qtjctZHT2h9yqB1VHtombiW4qaXWkX46lrTi27Dhg3dh6eKZIupXoxV10im4vVaSS3ZNY7Q0p+WhV1XqXAAoqU/LXVdalJOTj05hvRMVZqvaq0q0n7UqFHOWSTT5NukSZMKk7/Iv6OlPy0FXvdNOWz//vtvlxkybNgw994o04SK3vV0z5XFKrVSZBH/fwNo6V9LTwNNvHuOXL0Pe3UAg9Io3nbQ0p+W+hY78MADXaCF7reKuNW9VPdapYyqpq4mPrW4nUw11UeOHBmvLAlvh47+dFQ0p+rXq8afstTkoNU3rb6VVf9eEdgyZa3oXkvtv4RPzbTZAQdg2kiRux3Rg14PC0XORTI5/7QSql7gwy1eB6BmK+SsUxRfNNMDSQ7HWHV/dHM8/PDDbc6cORGb0UeFIgPPPPPMmIJq1loOulAHXugOWhxEUQvR6iJq20TqVMkR4RXOTuaZhpYF6cbSUpok6syTE1rnfbINLRPTUltHizAKb0n1RpU6oYjh4jC0TFzLwnRJhQNQfULLxLWM97o877zzXAS2nuPFYWiZuJbeHorSPP30051zIZKpVIxSSlWzuTgMLf1rqT018elNYEcqn1McGnrHQEt/WqrmueptarXuWKZFFLWwobeibLK0RcfEddQ3roJPYpmCdhQJqO9KLHMJ4ADMXO2yqucKDX/ggQeco0+LIejBIIefauipUGy09I14HYAerNdff905+eTA041OYc6dOnVyC3NEi9gLB63oPKX66WGnEHY97LRir2akVb8kPB0lmlA6vsYsR5/nnJMzSNF7qn1SvXr1mBqnowNQHUbL/1uhMB4t09kBiJaJX5eK2J06dapb1Ei1/dasWeNWONf9S/cIOfw0s6prPNFapkW94XNdxn9dxsM6VQ5ArsvEr0t9CCo9TRNvug707NVzW1G4TZo0can4St1XveHiNq5L/9elUrYffPBB996ozApN9CoiRZFIeoeKNGmcTH3R0p+W0k3OBL37K6JTE+PF5YSPdj6gpT8tpaG+sVRDVTWtFdghLRUJqKwIpQZ70brJvBa9ttExMR31fSvn7Lvvvusy0HQtbtmyxS36oW9lOW+V/RbvpFpxaMwx/BHAAeiPG3tBAAIQgAAEIAABCEAAAhCAAAQgAAEIQCAjCOAAzAiZ6CQEIAABCEAAAhCAAAQgAAEIQAACEIAABPwRwAHojxt7QQACEIAABCAAAQhAAAIQgAAEIAABCEAgIwjgAMwImegkBCAAAQhAAAIQgAAEIAABCEAAAhCAAAT8EcAB6I8be0EAAhCAAAQgAAEIQAACEIAABCAAAQhAICMI4ADMCJnoJAQgAAEIQAACEIAABCAAAQhAAAIQgAAE/BHAAeiPG3tBAAIQgAAEIAABCEAAAhCAAAQgAAEIQCAjCOAAzAiZ6CQEIAABCEAAAhCAAAQgAAEIQAACEIAABPwRwAHojxt7QQACEIAABCAAAQhAAAIQgAAEIAABCEAgIwjgAMwImegkBCAAAQhAAAIQgAAEIAABCEAAAhCAAAT8EcAB6I8be0EAAhCAAAQgAAEIQAACEIAABCAAAQhAICMI4ADMCJnoJAQgAAEIQAACEIAABCAAAQhAAAIQgAAE/BHAAeiPG3tBAAIQgAAEIAABCEAAAhCAAAQgAAEIQCAjCOAAzAiZ6CQEIAABCEAAAhCAAAQgAAEIQAACEIAABPwRwAHojxt7QQACEIAABCAAAQhAAAIQgAAEIAABCEAgIwjgAMwImegkBCAAAQhAAAIQgAAEIAABCEAAAh6Bv/76yz7//HObM2eOzZ492/3v22+/tZ07d7pNvP8PitjGjRtt5MiR9vLLL9vChQvt999/t3LlylnDhg1t//33t/POO8/atGkT1+HUt+eff94mTpxon376qa1evdrKly9vtWrVsg4dOlifPn1s0KBBVrJkybja00aPPvqonX/++Xnbjx492gYPHhz3/myY/QRwAGa/xowQAhCAAAQgAAEIQAACEIAABCCQVQROP/10e+qpp6KOKUgHoByNRx99tK1YsSLq8eSsGz58uF111VUxOS9fvtwGDhxoH3/8ccztfvvtN6tSpUpcmv3444/WsmVL27BhAw7AuIjl5kY4AHNTd0YNAQhAAAIQgAAEIAABCEAAAhDIWAKKbhszZozrf6VKlax9+/a2ePFiF00nC8oBuH79ettrr71szZo1rl0v2q9Jkya2du1ae/vtt+3hhx+2rVu3ut+feeYZO/HEEyNylQOxZ8+etnTpUhfdd8opp1jfvn1dFOGOHTvc39955x174YUXbMmSJXE7APv37+/2qVmzpv3888/u2EQAZuypnbSO4wBMGloahgAEIAABCEAAAhCAAAQgAAEIQCASgZtuusluvvlm5xB7//33E4Y0adIk27x5s3Xq1MlFv5UoUcJ69eplH3zwQaAOwLvvvtuuvPJK1+Zxxx1nzz77bIG+Ki1YEYKy1q1buxThcJNDUv378MMPrWrVqvb6669b165dI45727ZtzkG4yy67FMrlpZdesn79+lmNGjXs6quvtssvvxwHYKHUcnMDHIC5qTujhgAEIAABCEAAAhCAAAQgAAEIpIxAUR2AkTqeDAegF12n482fP9/23nvviMwUgahUYZlScRWVGGrjxo2zU0891f1p8uTJNmDAgCKzV13CVq1a2cqVK100pKIIlRotIwKwyHizrgEcgFknKQOCAAQgAAEIQAACEIAABCAAAQikN4FMcQAeeeSR9tprrzmYmzZtsooVK0YEq+jAKVOmuN+UGly9evV82ynab9asWdaiRQtbtGhRIOJccMEFLv1Yjs9p06a5mog4AANBm5WN4ADMSlkZFAQgAAEIQAACEIAABCAAAQhAIH0JZIoDUCm19957rwMZTwSgHH9yAIaaFv5QnT/ZFVdcYXfddZf7b9UNXLVqlUv3rV27tpUuXTpuwWbOnGk9evSwUqVK2RdffOHqFOIAjBtfTm6IAzAnZWfQEIAABCAAAQhAAAIQgAAEIACB1BHIFAfg119/7dJ+t2/fbieccIJNnDixADRFCCpSUHbdddfZbbfdlm8bpfwef/zx7m9K1T344IPtmmuucfUE//zzT/f3ChUquL/feOON1q5du5jCyHHYoUMHW7BgQb7j4QBM3fmcCUfGAZgJKtFHCEAAAhCAAAQgAAEIQAACEIBAFhHIFAegkP/vf/+zoUOHOidg79697ZxzzjFvFWCt2vvQQw/Z33//bYcccog999xzBdKEtdiJxiu777777D//+Y/98ssvEdVUFOCTTz7pVgiOZtpfjkb14csvv7Ry5cq5TXEAZtEFkoSh4ABMAlSahAAEIAABCEAAAhCAAAQgAAEIQCA6gUxyAGoUc+bMsTvuuMOef/75AoPac8897dprr7VBgwa5lNxwu/jii23EiBHuz3LWbdmyxTn4rrrqKmvevLlzBo4dO9ZF/8mRKCfgjBkzXJRfuC1ZssRFJKqNqVOn2qGHHpq3CQ5ArrhYBHAAcn5AAAIQgAAEIAABCEAAAhCAAAQgUKwEMskBqFV95aybMGGCW+E33HbZZRfr2bOnS/1VXb5wO/PMM23UqFF5fx4yZEi+f3s/PPPMM3byySe7f8qxJwdfuPXp08fee+8906IjSiEONRyAxXoKZ9zBcABmnGR0GAIQgAAEIAABCEAAAhCAAAQgkP4E5Bgrqo0ePdoGDx4cVzNaDfeDDz5w2+7cuTOufQrbaPXq1XbggQe6VFvV6bvhhhtcPb/69evbxo0b7cMPP3R/W7hwoZUpU8aefvppVysw1LzVevU3RQiuXLnSatWqFfHQnTp1sk8//dRKlChh69atsypVquRt5zn4KleubKpNWLduXRyAhQnI73kEcAByMkAAAhCAAAQgAAEIQAACEIAABCAQOIFscAAq0m7KlCmmsSjyTk7GcNu0aZN17tzZOeXkJPz+++/zOfi04IfSh2UdO3Z06cTR7Prrr7fhw4e7n1VfUBF/MqUJt2zZ0jkFH3jgAbvooosKNEEEYOCncFY1iAMwq+RkMBCAAAQgAAEIQAACEIAABCAAgfQgoKi4aPbII4/Yo48+6hxiivJuBfwNAAAHFUlEQVSLZvXq1csXBRdrZEFHAP7222+2++67244dO+yggw6yt956K+rhx48fn7dwx/3332+q++eZxqpFRGTHHHNMxDqC3rZacOTcc891/1RK8Iknnuj++/bbb3d1BhURqEVHSpYsWaAvin587LHH3N/VhtKSZQcccIDVrFkzPU4KepEyAjgAU4aeA0MAAhCAAAQgAAEIQAACEIAABHKTQCbUAJw5c6Z169bNCaQagF4UXyTFFi1a5CL0POebnJueyTHnRQ4eddRR9tJLL0UVPdRZOHnyZBswYIDb1uPl52yZNm1axMhFP22xT+YSwAGYudrRcwhAAAIQgAAEIAABCEAAAhCAQEYSyAQHoGrxqSaf7PLLL7e77747KusFCxZY27Zt3e+q+ffggw/mbfvHH39YjRo1bPPmzdamTRvTttFMx7n33nvdz9OnT89zQOIAzMjTPK06jQMwreSgMxCAAAQgAAEIQAACEIAABCAAgewnkAkOwLVr17rUWS0oohp/s2bNiiqM0nIvvPBC9/s999xjl112Wb5t+/fvby+88IKrJbh48WJr1qxZgbaUaty8eXP77rvvXC3BX3/91cqWLRv3yUANwLhR5eSGOABzUnYGDQEIQAACEIAABCAAAQhAAAIQSB2BdHEAeguVNGzY0JYtW1YASPfu3W3GjBnu73KwnXbaaQW2+eGHH6xr166mFYPVnhYDadGiRb7tZs+ebV26dHF/Uz3B1157zUqXLp1vm9tuu82tKCxTzUA5FRMxHICJ0Mq9bXEA5p7mjBgCEIAABCAAAQhAAAIQgAAEIJBSAkV1AMrZ9sYbb+Qbg2r0KbpOFr6wyL777mtNmzYtMObCHIDvv/++HXjggbZ9+3bn3DvllFPs+OOPNy1OsnHjRlN9Py36odV5ZWeccYaNHDkyIls59VTjT6aIwksvvdRF/GmF33Hjxrn/yerXr29z5851C5AkYjgAE6GVe9viAMw9zRkxBCAAAQhAAAIQgAAEIAABCEAgpQSK6gCUY653795xj0EOwcGDByfsANQOEyZMsLPPPttUyy+WacXeMWPGWJkyZSJuJifikCFD7Omnn47ajJyUr776aoEIwngGigMwHkq5uw0OwNzVnpFDAAIQgAAEIAABCEAAAhCAAARSQiCTHIACtHLlSnv88cftnXfecVGGGzZscPX5FAmo9F+lBsfrkFTkoqIEtcqwov923XVXa926tR177LF2zjnnWLly5XxpggPQF7ac2QkHYM5IzUAhAAEIQAACEIAABCAAAQhAAAIQgAAEcpEADsBcVJ0xQwACEIAABCAAAQhAAAIQgAAEIAABCOQMARyAOSM1A4UABCAAAQhAAAIQgAAEIAABCEAAAhDIRQI4AHNRdcYMAQhAAAIQgAAEIAABCEAAAhCAAAQgkDMEcADmjNQMFAIQgAAEIAABCEAAAhCAAAQgAAEIQCAXCeAAzEXVGTMEIAABCEAAAhCAAAQgAAEIQAACEIBAzhDAAZgzUjNQCEAAAhCAAAQgAAEIQAACEIAABCAAgVwkgAMwF1VnzBCAAAQgAAEIQAACEIAABCAAAQhAAAI5QwAHYM5IzUAhAAEIQAACEIAABCAAAQhAAAIQgAAEcpEADsBcVJ0xQwACEIAABCAAAQhAAAIQgAAEIAABCOQMARyAOSM1A4UABCAAAQhAAAIQgAAEIAABCEAAAhDIRQI4AHNRdcYMAQhAAAIQgAAEIAABCEAAAhCAAAQgkDMEcADmjNQMFAIQgAAEIAABCEAAAhCAAAQgAAEIQCAXCeAAzEXVGTMEIAABCEAAAhCAAAQgAAEIQAACEIBAzhDAAZgzUjNQCEAAAhCAAAQgAAEIQAACEIAABCAAgVwkgAMwF1VnzBCAAAQgAAEIQAACEIAABCAAAQhAAAI5QwAHYM5IzUAhAAEIQAACEIAABCAAAQhAAAIQgAAEcpEADsBcVJ0xQwACEIAABCAAAQhAAAIQgAAEIAABCOQMARyAOSM1A4UABCAAAQhAAAIQgAAEIAABCEAAAhDIRQI4AHNRdcYMAQhAAAIQgAAEIAABCEAAAhCAAAQgkDMEcADmjNQMFAIQgAAEIAABCEAAAhCAAAQgAAEIQCAXCeAAzEXVGTMEIAABCEAAAhCAAAQgAAEIQAACEIBAzhDAAZgzUjNQCEAAAhCAAAQgAAEIQAACEIAABCAAgVwkgAMwF1VnzBCAAAQgAAEIQAACEIAABCAAAQhAAAI5QwAHYM5IzUAhAAEIQAACEIAABCAAAQhAAAIQgAAEcpEADsBcVJ0xQwACEIAABCAAAQhAAAIQgAAEIAABCOQMARyAOSM1A4UABCAAAQhAAAIQgAAEIAABCEAAAhDIRQI4AHNRdcYMAQhAAAIQgAAEIAABCEAAAhCAAAQgkDME/h815D/P/9XtZAAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1522a1151160>]"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# QUick check\n",
    "plt.plot(wv_high, model_high)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "59d70c7c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Getting WASP-127 b from ExoFile\n"
     ]
    }
   ],
   "source": [
    "# %%\n",
    "pl_name = 'WASP-127 b'\n",
    "\n",
    "# --- Data parameters\n",
    "pl_kwargs = {}\n",
    "obs = Observations(name=pl_name, pl_kwargs=pl_kwargs)\n",
    "planet = obs.planet\n",
    "Kp_scale = (planet.M_pl / planet.M_star).decompose().value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "01231384",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading: /scratch/adb/DataAnalysis/SPIRou/Reductions/WASP-127b_genest/retrieval_input_3-pc_mask_wings90_tr1_data_trs_0.npz\n"
     ]
    }
   ],
   "source": [
    "kind_trans = 'transmission'\n",
    "\n",
    "# - Which sequences are taken (always take only 1)\n",
    "do_tr = [1]\n",
    "\n",
    "# - Selecting bad exposures if wanted/needed\n",
    "bad_indexs = None\n",
    "\n",
    "## --- Additionnal global variables\n",
    "inj_alpha = 'ones'\n",
    "idx_orders = slice(None)\n",
    "nolog = True\n",
    "\n",
    "# Choose over which axis the logl is summed.\n",
    "# -1 (or equivalently 2) should always be present (sum over spectral axis)\n",
    "# It is possible to sum over multiple axis, like orders and spectra\n",
    "# with (-2, -1) or equivalently, (1, 2).\n",
    "axis_sum = -1  # axis along which the logl is summed.\n",
    "\n",
    "# -----------------------------------------------------------\n",
    "# LOAD HIGHRES DATA\n",
    "data_info, data_trs = pl_obs.load_sequences(high_res_file_stem, do_tr, path=high_res_path)\n",
    "data_info['bad_indexs'] = bad_indexs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "9a23d121",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save (big) arrays that will be shared between processes.\n",
    "# NOTE: Their values must not be changed by the processes.\n",
    "out = [(obj, key) for key, obj in data_trs['0'].items()\n",
    "       if isinstance(obj, np.ndarray)]\n",
    "shared_arrays, shared_keys = zip(*out)  # transpose result\n",
    "shared_arrays = np.array(shared_arrays, dtype=object)\n",
    "\n",
    "# If non array objects are needed, it is better to define them separately (below)\n",
    "# as global variables.\n",
    "pca = data_trs['0']['pca']\n",
    "\n",
    "# Define util functions to get the index of a key in the shared arrays.\n",
    "def get_shared_array_index(*args):\n",
    "    \"\"\"Get the index of a key in the shared arrays\"\"\"\n",
    "    idx_list = [shared_keys.index(key) for key in args]\n",
    "    return idx_list\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c3d3bf7",
   "metadata": {},
   "source": [
    "## Example of inject + reduced model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "072bf13b",
   "metadata": {},
   "outputs": [],
   "source": [
    "kp = 130.\n",
    "v_sys = 0.\n",
    "\n",
    "\n",
    "# We need from data_tr: RV_const, t_start, wave, sep, pca, params.\n",
    "idx_list = get_shared_array_index('RV_const', 't_start', 'wave', 'sep', 'params')\n",
    "rv_const, t_start, wave, sep, params = shared_arrays[idx_list]\n",
    "    \n",
    "vrp_orb = rv_theo_t(kp, t_start * u.d, planet.mid_tr,\n",
    "                    planet.period, plnt=True).value\n",
    "    \n",
    "# Get the model sequence.\n",
    "n_pc = int(params[5])\n",
    "velocities = v_sys + vrp_orb - vrp_orb * Kp_scale + rv_const\n",
    "model_seq = corr.gen_model_sequence_noinj(velocities,\n",
    "                                          data_wave=wave,\n",
    "                                          data_sep=sep,\n",
    "                                          data_pca=pca,\n",
    "                                          data_npc=n_pc,\n",
    "                                          planet=planet,\n",
    "                                          model_wave=wv_high[20:-20],\n",
    "                                          model_spec=model_high[20:-20],\n",
    "                                          kind_trans=kind_trans,\n",
    "                                          alpha=data_info['trall_alpha_frac']\n",
    "                                          )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "9e6eb115",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18,\n",
       "       19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,\n",
       "       36, 37, 38, 39])"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_info['trall_icorr']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "6ede4553",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "0f19095e",
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAAAXNSR0IArs4c6QAAIABJREFUeF7svQl8XFX5//9ksjZrm+6laelKW0oLLWWXRVBWFQQV+SkIosiXRRaVRba6sH6/CqhsKoL6Z7G4gawKiEoBC6UtpQtL931Pk6ZJJpP5vz7nzHNzMplJ7+Qk7aT5nNeLV29mzrn3nM/z3HvfnHvPZ3Li8XhcWKgAFaACVIAKUAEqQAV6jAI5BMAeE2sOlApQASpABagAFaACRgECIBOBClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECYA8LOIdLBagAFaACVIAKUAECIHOAClABKkAFqAAVoAI9TAECoEfAm5ubZc2aNVJWViY5OTkee2JTKkAFqAAV2NsViMfjUlNTI0OGDJFIJNJlw62vr5fGxkbv/RcUFEhRUZH3friD7FSAAOgRl1WrVklVVZXHHtiUClABKkAFepoCK1eulKFDh3bJsAF/I4aXyroNMe/9Dxo0SJYuXUoI9FYyO3dAAPSIS3V1tfTu3Vvuem2q9CrN6/CemqVzZg9j8Zb/o4xJ2/+7zJXmVn3MzWn9d/IAIhLv8JhSNcTxIok+oHf5OU2mGvqVm5P6WLF452jTkYFAw2jcxrUpoWc0niuuzunG6X6eqY67iovue1f96MiYtU26nMRYNG750iyRRA4V5ECtlnxKNwa3Tib9Q+aELa4uiJfGsEFsLN0Y2py0uZecn3q85PNGP9exp8yBpHOtvb6ny323TWM81/zZHI9INMjFlmvOrq4hGKMbk47GwfQhg1i0Pg/av94k71vj2F4uBjFyrmWpxpacPeli2l6cUl1Td5WT7oih287amFx19GzZtm2bVFRU7Kp5h77fvn272ffSd4ZLeVn48yb5YNtrmmXE1OWC+1x5eXmH+sJG2a0AAdAjPnqi/fydQwmAIXR0b7C46XUnAAQ0JMNDuiEnw8/eCoAG+jIEwI7ceKFzJjffdABYH88PDYAulGUbACoMKthacGr/f5R6OgAmQ3ZH8jCTHNRrg/s/sBYAm+TiKbO6FKr0vrRhsT8ADtiPABji1tZtqxAAPUJHAMxMvEwBcE/O/il06E02DACmn/XKbCa1u8wAugDozuImz8CkGk+YG3CmN1wX/HSWCjmkMdydANjujF+bmfj28wNjUC0wA0gAtOq6/2O1q9nNMACYab6FufoRAMOoxDp7SgECoIfyBMDMxCMAhtOLAGh1yvSGTABMn1+cAWwN2an+ByTTfAtzNu9JAFy3eJj3I+BB+63o0tnKMBqyTtcpQAD00JYAmJl4BMBwehEACYBupnAGMPXjbc4Apr6e6H1pzeKh3gA4ZL9VBMBwl+1uWYsA6BE2AmBm4hEAw+lFACQAEgAlWGzVGYtAeuIjYAJguOttT65FAPSIPgEwM/EIgOH0IgASAAmABMBwV4u2tfS+tHLRPt4zgFXjVnMGsKOB6AbtCIAeQSIAZiYeATCcXgRAAiABkAAY7mqRHgCXLxriDYDDx60hAHY0EN2gHQHQI0gEwMzEIwCG04sASAAkABIAw10tCIAd1YntRAiAHllAAMxMPAJgOL0IgARAAiABMNzVIj0ALl00WMo8jKBrYAQ9bi1nADsaiG7QjgDoESQCYGbiEQDD6UUAJAASAAmA4a4W6QHw40WDvAFw1Lh1BMCOBqIbtCMAegSJAJiZeATAcHoRAAmABEACYLirBQGwozqxHR8Be+UAATAz+QiA4fQiABIACYAEwHBXi/QA+MHCgd4zgGPHr+cMYEcD0Q3acQbQI0gEwMzEIwCG04sASAAkABIAw10t0gPgok4AwHEEwI6GoVu0IwB6hIkAmJl4BMBwehEACYAEQAJguKtFegB8f+EA7xnA/cdv4AxgRwPRDdoRAD2CRADMTDwCYDi9CIAEQAIgATDc1YIA2FGd2I7vAHrlAAEwM/kIgOH0IgASAAmABMBwV4v0ADhvgf8M4KQJnAHsaBy6QzvOAHpEyRcA0/3GZUe7FItHgqYxadnWD3OludWu04GG+yPrHe1LqnYuABbkxCSSY/uDfiX/Vqe2j8VT/xB8Z/YreV+udtF4nvk6Gs8N/nV1dtt2lp7dBQCLIlETOxPDnLhEnPxKN4bkHGwvjqlyOF395Jg0J/If+aMxrI/nt4lhfk5MtK/ov5uH6fqqedvRHGx7Hsbb3RXGoFpgLHpO6LjQuDN+LzfseFTbsPW1npsf6dq6+9aY7mpsbq4lHyPddSVVbJPzTetkkofuuJKvXRjbztomuXjKrC59rKr3pTmdAIAHEgAzTfNuVZ8A6BEuAmBm4hEAw+lFALQ6ZXLjJQCm/h8l93/m2gOlcJlpaxEAw6lFAAynE2vtOQUIgB7aEwAzE48AGE4vAiABMHkmiTOAbc8dhVvOALbWRu9LsxcMlFKPXwKprWmWKRNoAxPuqt09axEAPeJGAMxMPAJgOL0IgARAAmD4dwAJgKkB8O33/QHw4P0JgOGu2t2zFgHQI24EwMzEIwCG04sASAAkABIAw10t2tbS+xIBsKMK9px2BECPWBMAMxOPABhOLwIgAZAASAAMd7VID4BvvT/I+xHwofvzt4A7Gofu0I4A6BElAmBm4hEAw+lFACQAEgAJgOGuFukBcOb7g70B8Ij913bpiuWOjpHtOkcBAqCHjgTAzMQjAIbTiwBIAEwHgM3xiDQGlkTWoghlV1YpqMNVwC2qprP4cVeed3cbGAJguOttT65FAPSIPgEwM/EIgOH0IgASAAmAu38GEJrvTQD4n/lDvGcAj5q4hjOA4S7b3bIWAdAjbATAzMQjAIbTiwBIACQAEgDDXS3a1tL70mvz9/EGwGMmriYAdjQQ3aAdAdAjSATAzMQjAIbTiwBIACQAEgDDXS3SA+Ar86u8AfCTE1cSADsaiG7QjgDoESQCYGbiEQDD6UUAJAASAAmA4a4WBMCO6sR2IgRAjywgAGYmHgEwnF4EQAIgAZAAGO5qkR4AX35vmJR4/BLIjppmOf6AFZwB7GggukE7AqBHkAiAmYlHAAynFwGQAEgAJACGu1qkB8CX3hvuDYCfPmA5AbCjgegG7QiAHkEiAGYmHgEwnF4EQAIgAZAAGO5qQQDsqE5sx0fAXjlAAMxMPgJgOL26CwAW5MQkP6fJDCo3Jy4RaQ4GmG4M6fzXUinjWnLsSrlYPNKqSrPYv2PxHInGrV9efTzf/BuN54rWz8+JBf546D/GoWVXfY3ktIx3V/1zv0/er3vMlDrEcwJ7EvoAtigUERur5FxrnYct8WwvBvrd3mQD8/y8Ed4zgCdPWsoZwExO7m5WlzOAHgEjAGYmHgEwnF4EQKsTATChAwEw5YlDAEx9PdH70rPzRkpJWW64i06KWjtqYnLqpCUEwA4rmP0NCYAeMSIAZiYeATCcXgRAAqCbKZjFVBjmDCBnAHd1FSEA7kohfq8KEAA9coEAmJl4BMBwehEACYAEwI69Awjd+Ah4u1RUVMjT80Z5zwB+dtLHnAEMd9nulrUIgB5hIwBmJh4BMJxeBEACIAGQABjuatG2lt6X/jx3jDcAnjH5QwJgRwPRDdoRAD2CRADMTDwCYDi9CIAEQAIgATDc1YIA2FGd2I6rgL1ygACYmXwEwHB6EQAJgARAAmC4q0V6APzj3LHeM4BnTv6AM4AdDUQ3aMcZQI8g+QKgHrpZcjx60dLUtcJItYKyrf1E+zYWusquUzqXsGvQ93NgfaH9gZ2GbruWGHj5fU8WaKgWIrAOQXEtRNL1ra0tRWorirDt29Mg2f6ks/RKl5PICbV+gQ2MWqEgfho79x0s9MfVY1fWKqn6n8lqYLR3NUG82rOBsf9T0mIn4uan25dU/Q5jAxNmvLuygUE/GhP5l+kiEB0DxpjqfyySYxUmf9RiJ0xdt06YY7n71ji2l4u6f3dsqY6TrHG6uGiupfo+0zy0udhyDcPYdtY2ycVTZnUpVOl9acbccVLssQq4riYmX5i8qEv7mmkOsX7nKkAA9NCTAJiZeO4MIAEwvXZhZwCTYSezaLRfmwDYGtoJgC35QgAMf6btSQB8Ys4EbwA8+8AFBMDw4e52NQmAHiEjAGYmHgEwnF4EwNY6ZTrzwhnAtnnGGcBdA735H6qEgfjeMANIAAx3ve3JtQiAHtEnAGYmHgEwnF4EQAJgcqbwEXBqqOUj4La66H3psTkTvWcAzzlwPmcAw122u2UtAqBH2AiAmYlHAAynFwGQAEgADL8IBFrxHcCWjNH70u/ePcAbAL960HsEwHCX7W5ZiwDoETYCYGbiEQDD6UUAJAASAAmA4a4W6WcACYAdVbDntCMAesSaAJiZeATAcHoRAAmABEACYLirRXoAfOTdyd4zgF87aC5nADsaiG7QjgDoESQCYGbiEQDD6UUAJAASAAmA4a4W6QHw4dkHeQPgBVPeJQB2NBDdoB0B0CNIvgDYFf5/OhwfH8DO9v/TPiUbQaufHL5P54W2J7wAXe0y8QFMB26Z6hkWALvKAxDxaM8GpigSNSFF/OAFqKXFQy+1v2QYTzz3dMxk9W+yFmpVgvxJ5QPY0ucWfzz0X/Owvb6G8f9r77LS1o+zfZ9IjEG1yNQH0M29Xb0nF/ZSmG02MO2NK9V1pb3Yujmn9TLJw1b5m+Rjurt9APcUAP7iF7+Qu+66S9atWyeTJ0+Wn/3sZ3LIIYekTa8ZM2bIjTfeKMuWLZMxY8bIHXfcIaecckpQPx6Py8033yy//OUvZdu2bXLkkUfK/fffb+pq2bJli1x22WXyzDPPSCQSkTPPPFPuueceKS0tDerMmzdPLrnkEpk1a5b079/f1P/e977Xql+76kvYc6S71CMAekSKAJiZeATAcHoRAK1Omdx4CYCpTdMJgG3huqcA4C9nT/WeAfzGlHcymgF88skn5dxzz5UHHnhADj30ULn77rsFULV48WIZMGBAmwvgzJkz5eijj5bbbrtNTjvtNHnssccMAM6ePVsmTpxo6uNvfP/oo4/KiBEjDCy+9957smDBAikqKjJ1Tj75ZFm7dq08+OCDEo1G5fzzz5dp06aZ/aHgXj127Fg54YQT5LrrrjPtL7jgAtO/b37zm6ZOmL6Eu4J3n1oEQI9YEQAzE48AGE4vAiABMHkmiTOAbc8d9xdc9Nu2v0LTcwHwwdlTpVdpXriLTopa+NWSizIEQEAfwOvnP/+52WNzc7NUVVWZ2bZrr722zVG+9KUvyY4dO+Rvf/tb8N1hhx0mBx54oIFIzP4NGTJErr76avnOd75j6lRXV8vAgQPlkUcekbPPPlsWLlwoEyZMMDN7Bx98sKnzwgsvmFnEVatWmfaYMfz+979vZiULCgpMHfTnL3/5iyxatMj8vau+dFjILG5IAPQIDgEwM/EIgOH0IgASAAmA4d8B5CPg1tcVvS/tbgBsbGyU4uJieeqpp+T0008POnXeeeeZR7d//etf21wAhw0bJldddZVcccUVwXd43Aswmzt3rixZskRGjRol7777roFCLcccc4z5G495H374YQOIW7duDb5vamoys4OYfTzjjDPMrCR0wX61vPrqq/LJT35S8Pi4T58+squ+hLt6d69aBECPeBEAMxOPABhOLwIgAZAASAAMd7VoW0vvS/fPnuY9A4jfLV65cqWUl5cHByosLBT8l1zWrFkj++yzj3mUevjhhwdf4z271157Td566602bTAbh0e7X/7yl4Pv7rvvPpk+fbqsX7/e7Avv/GHfgwcPDup88YtflJycHMEj51tvvdXsA4+Z3YJHztjPxRdfLJ/+9KfN42M8ItaCR8j777+/eZQ8fvx4MzPYXl86Go9sbkcA9IgOATAz8QiA4fQiABIACYAEwHBXi/QA+PN3DvUGwEuntoU2zNDdcsstBMCOBiiL2hEAPYJBAMxMPAJgOL0IgARAAiABMNzVIj0A3vvOYd4AePnUN0PPAPIRcEcjtufaEQA9tCcAZiZeMgCqnQZW5dEGpkXLbAdAte+BHYyuqET8OtsGRhUJsxo401XAWj8/Jxb8jBhtYMKdzz3NBiaTPEwGd/fv3W0D01kAiEUX7iPg9rIEi0Bg+QLrFxQsAsG7dZdeemnaRSB1dXXGvkXLEUccIZMmTWq1CAQLQPCeHwruu3i8m7wI5O2335apU6eaOi+99JKcdNJJbRaB4LFyfn6+qXP99dfLn/70p1aLQNrrS7izo3vVIgB6xIsAmJl4BMBwehEAW+tEAKQPYKozZ3etAu6uAPjTt4/wngG88uCZGdvAYNEH3rUDCMJm5Q9/+IOBLKzcxWIMvCcIWxcUvOOHBR233367nHrqqfLEE0+Yd/qSbWDwvWsDA0+/ZBsYwB1WDqsNDFYEqw0MIHa//fYz7wJec801Mn/+fGMD89Of/rSVDcyu+hLuCt59ahEAPWJFAMxMPAJgOL0IgATA5Jkk2sC0PXcIgKmvJ3pf+t+3j/IGwO8c/J+MABA9ggWMGkFjpe69995rPAFRjj32WNl3333N7J0WrNS94YYbAiPoO++8M6UR9EMPPWRWEx911FGChSLw9dOClbyYZXSNoHHcdEbQ/fr1M9Y0gEG37Kov4a7g3acWAdAjVgTAzMQjAIbTiwBIACQAZs87gN11BnBPAWC4qxxrZYMCBECPKBAAMxOPABhOLwIgAZAASAAMd7VoW0vvS3fO+oT3DOD3pv074xnAjvab7Xa/AgRAD80JgJmJRwAMpxcBkABIACQAhrtapAfA22cdI0UevwRSX9sk1057jQDY0UB0g3YEQI8gEQAzE48AGE4vAiABkABIAAx3tSAAdlQnthMhAHpkAQEwM/EIgOH0IgASAAmABMBwV4v0AHjrf4/zngG8/pBXOQPY0UB0g3YEQI8gZQsA6hBcL7RU1hnq2Yb67UGGrq7zkCZlUwJgOEW7OwC2l19uDu5KjY7Yv+g+1asuFs+RaDzPfFwft/5f0XhucGjkuurt+gCaMUhzyi6qf+Wu+p/u++T9pvPAbDmvW2xgMBaMyY7DjgulWexnycU9l9v7zdxMxrK3+gCGybdMdNI4uTm5s7ZJ8PNqmXjrZXJM1NX70g//+0lvALzxkFe6tK+Zjo31O1cBAqCHngTAzMQjAIbTiwBodQpzQ042gHZvtmYfBMAg6QiAVop0YB8m38KdwYn8TYA6ATAT1Vh3dypAAPRQmwCYmXgEwHB6EQAJgG6mAGIVTjgD2KJMZ/sA7m0AOP2tE7xnAG8+9B+cAQx32e6WtXoEAMJF/LrrrpNvf/vbxpkcpb6+3vy0DJzHGxoa5MQTTzTmknArD1sIgGGVSvyfdw4eHtnHagU5MeFPwaXWjwBIACQA7v53APc2ALzJAKB97aEjpb42Kj8gAHZEum7TZq8HwFmzZskXv/hF81uGxx13XACAF198sTz77LPGkbyiosK4iEciEXn99ddDB48AGFoqU5EzgOH0IgASAAmABMBwV4u2tfS+dMObn/YGwB8d9hJnADsaiG7Qbq8GwNraWpkyZYqZ2fvRj34k+FkazADiBdz+/fub3wk866yzTJjwW4Xjx4+XN954Qw477LBQoSMAhpIpqEQADKcXAZAASAAkAIa7WhAAO6oT2+3lNjD4UerKykrzg8/4DUIFwFdeeUWOP/542bp1q/Tu3TvIg+HDh8sVV1whV155ZajcIACGkokAKPGMhCIAEgAJgATAjC4aTmW9L133xkneM4C3Hf4CZwA7Gohu0G6vnQHEu30//vGPBY+Ai4qKWgEgZv7OP/988+6fWw455BDzmPiOO+5IGTrUd9vgRKuqqpKfv3Noh35yJ511Q0fzhjYwHVWudTv3XSC12lDrEPybbuVpOnDL1FaHAEgAJAASADt6NVMAvPaNk6XQ4x3Ahtqo3H748wTAjgaiG7TbKwFw5cqVcvDBB8vf//53mTRpkgmDOwPYUQC85ZZbZPr06W3Cev/saaEB0IUHhQr7aLT9WaIwsIh9q9eZdjI/J9bK9iAVXODYuv/kfoSFkfZyXcec/Ag4P6fJNIMPmi4OcfeDsdQ325eYiyJRs3DELY3xXGmOR8xHWFCi9g7pfNWSfbl2dX4CBBUAlzf2NdVX1ldKVdEWs12ZuyOln2JYDd1cSB2X1D50LR53duxa3H3ovt28cT3vkseeXL8xnifNCRsLaO+uuEROoSB+bkw0hsljSWW7kSrf3b5Cezdv0mml+3ahHXVbgD0vOCeWNvQ3/V6+s1JGF28024Pzt7XyAUzOsWSdXA/ATDwNk/fj5miq3Ed9129Pc3dbrEQ+rh9gdlcYaZJ++TX2HJLmYKVwQeK8SvYATHeclvxJfw3S46NPqq3GBPmg5/Kuzqn2juWenzjvtsRKTHWc4xW5dYmca7kGaL7g+KnG5mqcHCs3jnoNcXPIra+fo3/t7VPH5tbXGGr/4AN40ZR3uhSqCIBhs5D19koA/Mtf/iJnnHGG5Oa2GL7GYjHJyckxCz1efPFFOeGEEzJ+BJxuBpAA2P6JRABMDXIEwNZ5QwBM1qMF8AmABMCwuKIA+N2Zp3rPAN51xLNdCqthx8R6XaPAXgmANTU1snz58laK4ZHvuHHj5JprrjGPbbEI5PHHH5czzzzT1Fu8eLH5viOLQAiABEBXAc4AtgZezgC2PT84A9h2tpEzgJ1zk1cAvPr107wB8P+O/BsBsHPCkpV72SsBMJXS7iNgfA8bmOeee87YwMAi5rLLLjPNZs6cGTpQeqIRAAmABEAJHsPxEfCuLyEEQAIg7jtdUQiAXaHq3rnPHguAagSNWUDXCHrQoEGhI00ADCcVHwHzEXBypvAdwBYA4juANjs4AxjuerqrWnpfuuL1z3rPAN595NOcAdyV4N34+x4DgF0RIwJgOFUJgARAAmBrBTgDyBnArp4BvPw/n/MGwHuP+isBMNxtrlvWIgB6hI0AGE48AiABkABIAHQVSLVSnzOA4a6nu6ql9yUC4K6U4vcEQI8c0BPtwdlTAxuYdBYk+ohDbUVgcaI2G2W59SltDGAhoPCk1gvYD2w5tLiWF9Wx4sA2pTKv1lQxNjA5FkDS2YAkr0bdlaVCOsncPuo+3DG4tiHYVjsR9M9dKACrC5SV0UrpnbB/GJhXHRxWrW7UIgZflOfWp7SiSOfZ51psaGzwrxs/2My8vG2COe7fPxpn/j2warV8uu/7ZtuNg9XX6ox9uxq6+9SbXEM8P7BWgRbt5Y2rN9qjre1zJNDQteHA8WtiRUEz5JfbP/2itc2IXXGq1ht1sUIZmG81d8eJcalVSvL4A1ufhA7t5VzrMbWsdo2KXbmP2Gp+uP0symlMa5mkq4i3N/eSmlivRCxy5O+b9zfbby4Yaf4dN3qNfG7QXLNdEmlopaFrK+NaDO3KHsYdj7ud7vGu+55kKiubZH2WN/YzHz21eork51orlE8OWCzFkUaz3dCcH1ilJMcL36ezL0GO63eIn47ZxC5x3cA1q665IIhLXXOh2VZrFuRXqoU+yb+tG8Y2R8/t9+qqZFvUxvCA0lXBdUDPZ9QryrHXweQ8dI+TyrYH49XzEGODBqqRtkU71WJHYrzu9cu1nWoVK4mI6oMcLo5Yr1kcE+ckbGCuPHhml86q6X3p0v+c4T0D+POj/tylfU133vDz3aMAAdBDZwJga/EIgARAc7MjAAYnBgGw5RpBANy9AHjxvz/vDYD3f+JPBEAPRsj2pgRAjwgRAAmArgKcAUwYexMACYCYoZYko3InL9JddjkD6HFDSjTV+9JF/zpEvfF7AAAgAElEQVTTGwAfPPqPBED/kGTtHgiAHqEhABIACYAtCvARcNuLCWcAOQO4px4BEwA9bu49pCkB0CPQBEACIAGQANjeJYQASADcUwD4zde+IAUevwXcWBuVh46ZwRlAD0bI9qYEQI8IEQAJgARAAiABkItANAfw2DtbFoF8/bUvegPgr4/5AwHQgxGyvSkB0CNCBEACIAGQAEgAJAASAD1upGy6xxQgAHpITwAkABIACYAEQAJgNgLg+f/EDKC17+lIaaxtlN8cyxnAjmjXXdoQAD0ipQD48OyDpLgsN/DNSt6l+klhhZv6s2Fbve2SPcbUlwr+Z+p1B4sV9XODP5paruD79dEKc8itTcWyT+FWs63+ea73H95Hcv3AdB/WT86u4Ezui+ujlU4q9TZUby0cw923+nTBBkKPg88Czy2JB16Fm2OlMqvW+rX1yd8hE4tWJfrVJOoPWNNsPe7Q7/552802/NzcnxdTTzg8knHtJ+rj9oJotbC2La7nHD5TzWdsnCZznhtv6jSM32n+/fZBr0j/vJpAinT+Z66fmFZGHrh9b4lnU6s+Jq+eRHvNoW2x4kBbeMC52mrebImVGl84FHj5qV+a0SyxMhOxUn896Li+yf4u6Zr6Pubf0cXrW41Tx+DGEHHWY0J/9zi5Yn/pATq7Pn7J78Tpqk/URUZsbio17eDrqPmEPveO1CXywHrg6b5127SN2bY4H3Scf1x9kNTOGGI+3zzN+sZdcvirgcchziV4C6K45wZyQHMfY3PH36JhJMgho228ZdVrQeJ8Cho6G8k/g6d5iPaat6ij24sahsjd7xxv9tBcnyufnzrbbONcr24qNtuIc2XejjaHc/PQ9RvUHMf57npIBuN0YrulqTTI263REumXbz1GA5/IhH7aVvVBzqqG6Sxg3PMTfnv/2Go9Gz+q7icnDl5otkcXrQ9yAbmNglwLrnGJ89iNkTsObLvnO/7W8dc092rxI3WuT7im4VxDUT9Kk+OOB6uby5rjaAO9UODFqucEzvvnNx0g0R2N8synf92lj1X1vnTeq2d7A+Cjxz3RpX1NdX7ws92nAAHQQ2sCoBWPANg6idybmgvQBMAWs2xVjAAI8LT/I0IAJAB63I6CpgTAzlCxZ+yDAOgRZwIgAZAzgPZXFDgDyBlAvZRyBjA7ZgC/+uqXvWcAf3fc45wB9GCEbG9KAPSIEAGQAEgAJAAG4MNHwHYmM/GaAR8B79lHwOe8co43AD72yccIgB6MkO1NCYAeESIAEgAJgARAAqB9h5IzgGLeG8yWdwAJgB439x7SlADoEWgCIAGQAEgAJAASALNxEcjZL3/FewbwieN/zxlAD0bI9qYEQI8IEQAJgARAAiABkACYjQD4xZe/KgUlHjYwOxrlD8f/jgDowQjZ3pQA6BEhBcDfvXuAsYFJLvoujFoOVMeKBf+hDC3YImURay2C4r43o9YacJTXVZKwPFBLAXzfELc2H6saK2VNfW+zPbzX5lb2FvjMtX4BrOiqVPRJV+/CBsK1N1CocW0x2owtnmM+wj60v2ohg791367di3ucfIkFqx9hGbI5VmL294/q/aU419p1fKJssRTnWAuObc3FsjFhVaIWM1X5mwMrCOwjJrZPyaspte/uilPYdLiWMKot6vxh4yGmycKHJkjNvnaf537+ZfPv2KK1yVKk/DsVGMLCojGeZ+r3za0N7Dfa0xl1oac+VkJOlOXavCmL1AfxxPtW65rUDqjE5BdKRW5dYDGDmLg2MBojWMAsqh1s6o8rteMbWbAxGJe7qtm1DEH74oRFimuV4sbWtUbR1a7YcavVv3F77qyOVgZjg34an/6524Pcd/ehsca/G2Nl8lHDoKDPT685wGwX/riPbJhqbYNOP+9fQQxVc1jAqM0HvtRfccB271xrq5Js2wLLGRRzPiXsbvCZjtW1w3GTQ/uuFjn6nZu37vg+TIznttdOk14rbd5MOmWxTK1YbrY3RUtlQIG1QarKt/F2C871VOcy7Fb0c5yfameC0eg2zrF1Tfa6UhsrktUNdntAQY2MLlxvtvWa4Vr9wLpHcwzHcHPbPY5rGaXXx6c3HyizVg4z+z551AI5ouwjs439bWwqM9saK5w/7gp793xz49miuV1pjYK8UosX9EnHgeuX9mtNtE9wLLWbQb1UljmIu+5vVbQysE/CuVcT62WOOWPdVFm+pY/E6hrkg/93e5dCld6XvvDyuZLvAYCwrJlx/G+7tK9tkpYf7FYFCIAechMACYDp0ocA2GJtohoRAK0mBMBIAFoARAKgx00oRVMCYOfquTfvjQDoEV0CIAGQAGhnaDkDyBlAM1vHGcCsmQE88x/nec8A/vGERzkD6MEI2d6UAOgRIQIgAZAASABEDvARsP0VFAJg9jwCPuPv53sD4J8/9RsCoAcjZHtTAqBHhAiABEACIAGQANjyc38EQAKgxy2VTXezAgRAD8EJgARAAiABkABIAMzGRSCfe+kC7xnAv376Yc4AejBCtjclAHpEiABIACQAEgAJgATAbATAz7z0dW8AfObTvyYAejBCtjclAHpEiABIACQAEgAJgARAAqDHjZRN95gCBEAP6RUAH5szMfABVB8p7FZ9zPTisClaFviz9c2rDY6MNurJBs+rumZr3gm/Lni9ocD7TevANmFt1PpyLd3ZTwYXVpvt4YWbAu8q9dyCzYJrSeJ6E6qnVbIH4K586dz+wqNO/f/cfes+Xe9B+KOpFYjrFYdxwv8PpaE5T47vvcBsw+tLtYMHoHq0Dcnfar7vn7c9sNSAl5rrOafi4niu5xyOi1IXLww8z9Av9Xb7e/VEee3BQ02dWKHIyRe8brYPKfm43UzRsaNSsgXMtoTHIeJamWe95dxVs66PmnsQzSX4B6qfGHz31JcM8dOcgE/a+qj1AYQHILTR4uaW7hOfbUn0a+72Ktm3eLOpPrHXKvMvPNa0nRtD+A2qnqYvkTpTHzqrvUmyV6D+je+1rXpHou2apj5mH/BvU12QE31za8znOAeSrVNMfCRHNsdKTZ3FDYMFfUP59+bRUvujoTbOA/LlsKtmmW3XV05jhL5pvuOYWuABqLnixqQ54TVpNJJ4kDfIPfX/S/YqtDkRd3cTbLt562q4IlopN75xuqlXPqdQBn52hdk+ceACwXUEpSKvLvBrdD3x3AO5uajXI3yvOru5526vi1YEnqXwACzPs9eh8b3WtPIv1WOpETLi6noP6nUI9bQOclA1x/YLWyeZ3bz88Vg5asQSs31K5bzA5w95refXoDx7rUseb6pjWj1b/P/UgxPnk/YL1y69VqEv6n3YHM8JVvPq9yZXnP1pn3B+L2/sa/pVmbsjOPeQT3/ZOMV8/t6awXLiyEXSWBuVh46Z0aWzanpfOvXFC71nAJ898Vdd2teUJwU/3G0KEAA9pCYAWpNiAmCLkbe92bfcdPA3AbDJnGUEwLYXGwIgAdDjFpSyqd6XTn7hG94A+PxJvyQAdnaAsmh/BECPYBAACYCaPpwB5AwgZwDt9YAzgHb2fU/PABIAPW7uPaQpAdAj0ARAAiABkI+AkQN8BGwfvxMAs+cR8InPf9N7BvDFkx/iDKAHI2R7UwKgR4QIgARAAiABkADY8n4fATB7APBTz13kDYB/P+VBAqAHI2R7UwKgR4QIgARAAiABkABIAMzGRSAnPHeR5JW0LGzK9FbXtKNB/kEAzFS2blWfAOgRLgIgAZAASAAkABIACYAeN1I23WMKEAA9pE8GwGQLGLVzWdNobS4G5lfLoHxrY2BvGjn2X4m0snipaS4yn8OqoSLX3mBhyQH7F5T1TeXycd0As12Zv0PG9lpntmGj4dq/4LNk2wLdBywS9KV111JBV/S2Jwse8+h+3PpqowG7BNdaRuugb64NjFqCvFYzXtbXW2uLk/u+J/vkWZuX7c1Fsr7JWpvADmZI/jazPSjP/gubjsBawrGBce006uN5gYUE6ruWMGqFEY3nytt1I80+n/jN8VK83lp2HPDtefK5ytmtpMDx3Di3t/gDDWuaewVWNpW5tVKea+00UtljJGuuFjhbmkoFlisosIBRWxUcG9+hrGqsNPmFojY52EbeaB9d+x7k2Oztw039/oW1Mq3E2m9oLqilSnKfEGM9PqyMWuxUYoFtCvRXCxlrnWH1hPZq/6J5sDpqzw0UaKM5BAuY3pGdwXeRnBYbFVh0oGxr7iWLGoaY7YbmfHm/1m5/dOd4Kaixdj9Df/ChnNX/bbPtWs/ojtF/tUdBHiBGKHpuaL1k+xd8js/UWsS1OHI1c+1fNOaas9on9xzaELPnwQ1zPyfFL9vtyGmb5Cv7WiubLU0lwbk1unB9q1xwj4vtZAsYzVvkPa4VdgyRVrmo5xvyam2jPfcKI02yf8IeCPmnsVPbpeRzQi1e3BzHfqCv6ZcTy3/X7Cd/XjjZfD6parWcPfC/Zht5o5YsiK3mtuaem5/I2VTXmGQLGNi/aNH4utcpWN/o9aF/Xk1glVOU05gsrTmnNFeXNgwIzk+ce5r7f9s8WWYuG2Hawt7mhD7vy87aJrloyjtd+lhV70uffPZb3jOAr5z6QJf2tY2w/GC3KkAA9JCbACjBhRcyEgBb279AEwIgAVAvMQRAAuDuBMBj/3axNwD+87T7CYAejJDtTQmAHhEiABIAOQNooRczSmqczBnAlosKZwBbtOAM4O6dASQAetzce0hTAqBHoAmABEACIAEQlxA+AraP5VH4CDjP6LCnHwEf/cz/eM8A/usz93EG0IMRsr0pAdAjQgRAAiABkABIAGz9XiwBMDsA8KinL/EGwP989hcEQA9GyPamBECPCBEACYAEQAIgAZAAqIu0smkRCAHQ4+beQ5oSAD0CTQAkABIACYAEQAJgNgLgkX+91HsG8PXP/ZwzgB6MkO1NCYAeESIAEgAJgARAAiABMBsB8PC/XuYNgG987mcEQA9GyPamBECPCCkA/u7dA6S4zFocqAcULFHgzYZSmWe9xfB4wPXfUl8yeFqphQr82dSjCu3U7wr+VBubrC/YBzsGSa9c6001oXhN4Aum+zYvYkuLJYlCCrz71MMLx0jn/5fOo077i/2k8/8zN8NINFAV9dz96fFR4Y3aMabeoppBcmK/+WZ7TMF62REvMNvror1lS6zEapi7Q6ryN5tt1cf4j0nCSzFuf4vUjD2n2fw2Kwp00/pRyQ3iU5xjffVQFjcMlp/N+IzZHvRmVIqvWW22/2foq1KQ02S2VUPjq+f4NwbHdPTGZxpPeI/BOw2lLLIziH9w8IQXm/v39pj1gdzUVG7+LYxEg324nmTbYiWytKG/qVOZt0OGFlh9oLnGyu2v8ZKMWy/JWdv3lV65Nk6Hl30UeJ5p/uJz1xNQxwPvO3ikoaAvkYTHn7sIQrVP7guOrfFXjzesDFV9cIzeuTvMvntH6gL/wGQPQPhDatzUM3NNfR95476p5vN+b2+T6E/tOXfF8H8E0gaekfGcVvFUT0v4Grp5oQ2TPQD1b3gAam65eY127upfN7bYRs6qRq5n5bbmYvnR4lNM9dhf+kvNCVaLiyb+2/gcms/jEdmvaK3Zhiee5qV7vrvHcz0OkX+2XYt/pntubmwql02Ja8yGaHmQ5weWrAj8Ed1x6hh0da8Zd0681fmufUmu826d9aD83fuHyLD+W8z2BVWvB7kAP8KaWC/zOTwANe9T5ad7LbK+ky3XPvVpxHmo/bU+iPa8hhbqfYjj9cvbbj6HJ2U6/z98j5xZ0mi9WBHr4QUbbXwkIq9WjzfbL34wQQ4ctspsf7b/HDO2upqYnHPg/C6FKr0vEQDdM4HbqRQgAHrkBQHQiuf6/+FvAiABUE8rF0YJgFYVAmBcCIDVUl5u/wevs4velw79y+XeM4BvnX5vl8JqZ4+d+8tMAQJgZnq1qk0AJABqQiTPwHAG0CpDAGx7gSEAEgCrq7seAA/587e9AfC/Z9xDAPRghGxvSgD0iBABkABIALQ/0cZHwK1/BYaPgFtfWPkIePc/Aj74T1d4A+Dbn7+bAOjBCNnelADoESECIAGQAEgARA7wHUB7JvAdwOx5B5AA6HFz7yFNCYAegSYAEgAJgARAAqBdAEcAzK5FIFP/eKX3DOA7Z/6UM4AejJDtTQmAHhEiABIACYAEQAIgATAbVwFPeeoqyS0p7PAdLrajQWaf9RMCYIcVzP6GBECPGCUDoGuzAQuY4oi1atGLg2u/ACsRtTTA6siahPUHLC/6J6wI0Lau2Z7A22LFsrhuUNDbiSXWqsRaGsTs/30nWZFoZV2QgL91ha7aIGi7VD/fpLYZqIP+6n5QV4+ltiKoo15Y2FZrBtdmwpV63s5h8t+t+5qPju37gUzutdxs410htQjZ0lQa7HPfgo1SnGP11AJbF9dyRB/D4TPtF95NQz2777xWNh9rmvqYz2954UwZ9ZS1hdn0vZ0yffwzZhu2GYHVhbMP1wYmleaw3lgfrbD7yN0ZWGi4Nj34ztXXjZW21RhV5NYFNi2oV9Ns7TFgAdOSY5uC2KJ/av/h5hm0fafGag4rk09UfNAyTmmx0dG+qAUR4q7vcMGaSGOL/qkNSr60thZxY1GXsPXB+GE1YsdgrVxgKaN5hVzun2ttOPJzWr9Tp32qay6QRQ2DbayayoLz5m+/O1KqnrQ5tOJnveX2A/5ktmHjo1Yprm2JHrMhni/QF8WcS2LPJdUI/6J9KmsR7Ds5pqjvvv+n+e/GWi16bP9ige3RPStOkI2PWXuUzYdG5ZLDXg36olY143utbrE1ireAV1DR2UAOaDvkoWufpNXQP1xbUGCHsqHRxmdnrEAml64w2wPzqlvZISXbv0CfdOd78rt/2N/i+sHyqwVHmH1XlOyUi0f9y2zjuge7FhSc+2rJgri49i/adz0/3MfO1lbH5g76tbnJ7g9x1nMF9i4aNxwPx0JBbqtVDq6T6c5t1F3SMCCwoBpesCmo+2btaPnjogPN/kYO3CRfHjLLbMNiCGV32sAQAFOdFfzMVYAA6JEPBEDrs6eFAGiVIAA2B+/EARYIgK1hnwBIANwdq4APwgxgsccMYF2DvMsZQA9CyP6mBECPGBEACYCcAbRm0pwBbLmQcAawRQvOAO65GcDJT13tDYBzz/o/PgL2YIRsb0oA9IgQAZAASAAkACZfQgiABMBseARMAPS4ufeQpgRAj0ATAAmABEACIAGQ7wDqdSCb3gGcNOM73jOA877wv10yA7hlyxa57LLL5JlnnpFIJCJnnnmm3HPPPVJaat/HTFXq6+vl6quvlieeeEIaGhrkxBNPlPvuu08GDhwYVF+xYoVcfPHF8uqrr5p9nXfeeXLbbbdJXl5eUOef//ynXHXVVfL+++9LVVWV3HDDDfK1r32t1SF/8YtfyF133SXr1q2TyZMny89+9jM55JBDgjrHHnusvPbaa63aXHTRRfLAAw94EMXub0oA9NCcAEgAJAASAAmABMBsBMCJf/iuNwDO/+JdXQKAJ598sqxdu1YefPBBiUajcv7558u0adPkscceS3tHBtg9++yz8sgjj0hFRYVceumlBh5ff/110yYWi8mBBx4ogwYNMvCG/Z977rnyjW98Q2699VZTZ+nSpTJx4kT51re+JRdeeKG8/PLLcsUVV5j9AihRnnzySdMOMHfooYfK3XffLTNmzJDFixfLgAH2958BgGPHjpUf/OAHQX+Li4u77Of9PDCl3aYEQA9lCYAEQAIgAZAASAAkAIa/kS5cuFAmTJggs2bNkoMPPtg0fOGFF+SUU06RVatWyZAhQ9rsDItm+vfvbwDxrLPOMt8vWrRIxo8fL2+88YYcdthh8vzzz8tpp50ma9asCWYFAXHXXHONbNy4UQoKCsw2YG/+/PnBMc4++2zZtm2b6QMKoA8w+vOf/9z83dzcbGYKMWN57bXXBgAI2AQcdudCAPSIHgGQAEgAJAASAAmA2QiA+z/pPwP4/pfukpUrV7aa2SosLBT819Hy8MMPm0e5W7duDXbR1NQkRUVFZqbtjDPOaLPrV155RY4//njTpnfv3sH3w4cPNzN4V155pdx0003y9NNPy5w5c4LvMeM3cuRImT17thx00EFy9NFHy5QpU1qB229+8xuzD0BmY2OjYCbvqaeektNPPz3YDx4lAxL/+te/BgCIR8jxeNzMOH7mM5+RG2+80bTtToUA6BEtBcBH3p0sxWW5xrNPPdyw2xGFG8ze1X8L27oqDr5WagdRnfDhwvfwRYskPNDg4aWebwt3DJGdzdZy5YDSVdI74V0GPyu9+Gg7838tcevrluwBmOz/hzrpfr4J3mXqeae+cqiPfag/IWw+4NOFoseHJ1g6/7/FCQ+31zaNlal9rM/YkSXWjw5lXVNF4AWGscH/D6Uspz6oo55qrp0G/L/UnwzWNPBo06J9L86x/USB/9c1M88022Pvj8qHl9h3RO48/Cnpm2s9u1BS+QDqcZPhT73KMAaNueub52qCMbgecerXtibaJ9BRY6zeZOgP4rmisV/Qv9GF6802fMvcWOk2jqM5N7d2mGyLWg/Bo3p/KIPyq822q2OwY8eDEsfUvsBDTT0joafrLafjcWMBCxj1XNvseK7psbFv7BOlf26NFEVa4ub2pb7Zxmdx42BZ02j9GzGuJ5852myPvOt9WfTTMWb7J594QsoiLfmi+1HLIpxT6rtZllsvvXN3mCqIZ0SssTV8EtU/MNkDUD0O3fPa7SsWgYTx/0Ob+nie/HbDkab5+7+bINtH2+Ofe8JrUpprx1AbK5LxRWvMNvraGLdaJPt0toyzwGwip/TcVP9PraP9gxZrovaGujVaIpujJWZ7UukqqcrfbLbdcwmaaJ5r3qQ7393rB3JmZWOl2d99i2zMUP5n3L8EPnoo6MvGpjKzXZlbG/TdXE0S17Og/47fn7kGJq6ZiJXGbVusROAbiQIPQL32IW7qfbipqdz4/6HgPFOdknPB6BkvCMYAH8uRiWsT9jt/Z5XZx+8WHiL9Kuz+vjr8Ldkn30IO9IbP4s7aJrl86ptd8lhVtdH70oQnvuf9CHjB2XcGsdKNm2++WW655ZY2n4f9AI9jH330UfNI1S14vDp9+nTzDl9ywcwfHhPj3T+34L284447Tu644w755je/KcuXL5cXX3wxqFJXVyclJSXy3HPPCR4747Et9nPdddcFdfDdqaeeKqgLwNxnn31k5syZcvjhhwd1vve975l3/t566y3z2UMPPSSAT8xWzps3z8wsoi9/+pP1H+0uhQDoESkCoAUkAqBNIgKgNeAlABIAkQcEwD0LgOMfv8YbABd++Y7QM4B4PAoQa6/g8S8gqbsDYPIYdYbyo48+klGjRnlQxe5tSgD00JsASAB004cASAA0AMwZQHNaEAD3DgAMa1qN9+w2b7azxukKHsf+/ve/7/aPgJPHt2PHDrPqGO8R6mISD7TYbU0JgB5SEwAJgARA+w6g+0ibM4CcASQA7vlHwPs9dq33DODic27v9MfVugjk7bfflqlTp5rrx0svvSQnnXTSLheBPP7448YyBgWPkMeNG9dmEQhW/+pqXTyq/e53vysbNmww7y3iUS0e+b733nvBpfucc84R2NK4i0DwOBfWLyaPm5tl2LBhZtWxLgJJxgasRD7qqKNk7ty5MmnSJA+q2L1NCYAeehMACYAEQAJg8iWEM4BWEc4A7tkZwLH/nz8AfvD/Oh8AkRt4H2/9+vXGakVtYLAiWG1gVq9ebRZ9/Pa3vw389/BuIOANNjDl5eVmVS4K3tdDURsYvJd35513Gg+/r371q8buJdkG5pJLLpELLrhA8Oj28ssvb2MDg0UfsKgBCGKl7x/+8Aez6hiegx9//LHpJ1Yt9+3b17wDiEUoQ4cObeMN6IEXu6UpAdBDZgIgAZAASAAkAKZe9EUAJACmu71ixg0zaq4R9L333hsYQS9btkxGjBhhDJ3huYeiRtCYBXSNoLEKVwsWgQAUYfaMxR8Audtvv72NETSAbcGCBQbasHo32QgaFjBqBA27F/QN9jAoWBX9la98xVjJ4NEvLGKwchmG0gDT7lQIgB7RIgASAAmABEACIAEwG1cBj/k9ZgCLOnyHi9XVy4df6ZoZwA53ig07VQECoIecBEACIAGQAEgAJABmIwCO/t113gD40Vdv6/R3AD1uuWzayQoQAD0EVQB8cPZU6VWaZ3yeGhJeffBnK0744+kh8EhEvbOwYlS9qOBnBv8/FHhKqSccvPY+rLfT2xsbSuWAslVmG3XVW834VSU8sNyhqE8f9l2YY2/SrhcY2qmfG75L5VsGLzn10MO2tkf/dMUrLGBc/z93X8nSLmkcIC9tmGA+Hlu+QT5VYd3Y8yUmG2N26nxLk/UhQxlZuCGl/19Mcsz3sKBR/y/8rT5vrodXXbzFZw6aqa/iDfM/J4Nvs35qH325WKafPMNsw7cL73Bp0WPpvjU2yWODHvD/Q8HxNZ7QLJ0noutnCP8/FPidVSQ8HgN/upx4kBPLG/sF3majCtdLecIrDvHRmFivtlyzP/y7aKd11l9Z10c+0cd6LlYVbAl8A1Ffve7UQ831oHT90dA28JZL5JUdczzwWcPfrv8kYoCyLloh/fO2J/pltUfuDMq1foTwAExtrJ0nHzfan2CCB6J6Mz78n6Nlv+/Yl7k/mj5Zfvi5J832oLxtrWKo5xy821A2NpUHuQx/Q/WHc4/taoI26r2HfGvP/8+MSexqaBNPsX6cyCPtN3zztE9/23agvPJ7+xujjb1FPvPZN832PgVbpTpmPRvHFq0zY0JBPF0fQPV7xLmsuanaI/fUYzH5XNfrA/JOz7n1DeWyf+lqc5x9CzYFbYPBJHTQ3NJ9Jud3MOZ4TnCNgb/ffR8dY3ZVs6NIvrG//fmu8UWrA09RnD/w/0NBXuvYNK+Nto7fnx4f8XPzF/5/5oiiLWEAACAASURBVDixouAabLWw10FcA9SvFeeanmeoE3iqStx4QZq4JHwXV0b7ytbE9WlE4cbgPPiwYaD8etERpm5hQZOcP+qNQEPVBtf617ePkcbaRvnNsX/oUqjS+xIB0M1cbqdSgADokRcEQAsDBEDrAUgAbDFxJgDaCwsB0P7PFAFw9wPgqE6YAfyYM4AehJD9TQmAHjEiABIANX0IgJwB1JljzgAmZj05AxjMBu+JGcCRv73e+xHwknNv7dLZSo/bL5t2ggJ7LQDef//9gv+wmghl//33N78ViOXnKLqi6Iknnmi1ogjLvMMWAiABkABoFeAjYKsBCgGQAIg8wGP0PfkImAAY9k7ec+vttQCI5eW5ubkyZswY84PN+OkZLOt+9913DQxiqfizzz5rPIUqKirMkvRIJCIwdAxbCIAEQAIgAVBzgACY9NibM4B7FgAf7YQZwPM4AxiWB7pjvb0WAFMFo7Ky0kDgWWedJf379zdmjthGgcnj+PHjA1fxMMEkABIACYAEQAJgy6IXaMFFINmxCGTkI9+XiIcNTHNdvSz52o/5CDgMDHTTOj0CAOEQPmPGDGMKiRlAOITDZXzr1q3Su3fvIHTDhw+XK664wrh6pyown8R/WgCAMIHkKmB7A8DqxuRHYK6OXAXcOqu4CpirgLkKmKuAO5sddGJixG/8AXDp+QTAzo5PNu1vrwZA/N7f4Ycfbt73ww8168+34N/zzz+/FcwhKPjZl+OOO07uuOOOlDG65ZZbZPr06W2+u33WMVJUmmcsAmDNgQJ7CS3ujV4tDWBRoNYisD5Qaw3YrtQ1F5imH9UPlNU7LaCOK10nQwu2mG3YmQR2BTnNrSwQ1AqiIZ4f1HVtK5JX7KYaqGu/oHYVsEhw910Wqbewl9O8S/BTi5PnNh4glYU7TLvPVM4R3ceWWKlZJYgC+42RBRushpG6wOYFFhowaTB14vYdo2QLGNfCQa1HYIOhljlYmXr38hPskKf3kzVHW5uNy/7f0zKucI3VSyzEori2PRor99cNtL/4F7YSaqECCxi139Bjp9JZ94m2uo28URsYBWrovjJaaXZR3VQso4va5hjq6PFh06EafVw/QD6ote+1Tuu9TEYXrgu6ovVd+xO1/cFL65qTsDOCPQ2Kay0SkXgQAxxd4+GuAMa4NP6Vedbiw2ib2N+gvGopjjTaeDr2Kfhb7UZWNFXKB/WDg7a/nmctN8b+zxJZedH+Zvvy8/8iYxJjS/4ptvqEjce6JnsuQRu1/jDnUgobJddKCGPQOu1ZwKR790+P6R7nX7XjTF+efPJYSTj5yBFfmhPYsGyKlsnYorWmDqyJtJjYJqxlXHsUnKc1CdsYtbXR+GlbzUWMZ1VjX5tPsV6ypt7qMrp4Q5AfyW3VCgXHT2f/YuIqkcC+BfW2x6z1zoPLj5bV663V0Vcm/VcOKfnYbGN/mh9lufWBDYx77iFXXPuX5PG4ukIDtddyrV/c6xeOV5a70+wG55qO1Y256VvieqP9w3k6rGCTaQebmpWN9pz85UdHSmPU2hqdv9+bsl8iboiDxmRmzWiT8421UXnomBldOqtGAAxOF27sQoG9GgAbGxtlxYoV5mR76qmn5Fe/+pX5rb45c+Z0CADTzQASANuf+SMApj4LCYDw7CMAEgAtGBIAO4dXFAD3ffgG70fAyy74UZfCaueMmHvpqAJ7NQAmi3LCCSfIqFGj5Etf+lKHHgEn709PNAIgAZAzgJwB5AwgZwCzaQZw31/f6A+AX/8hAbCjdNUN2vUoAPzkJz8pw4YNk3vuuccsAsGPSp955pkmTIsXL5Zx48Z1aBEIAZAASAAkABIACYAEwG5APexioMBeC4DXXXed8fwD8NXU1Jj3//Bu34svviif+tSnjA3Mc889Z2xgysvL5bLLLjOizJw5M3R6cAaQ7wDq+1gEQAIgAZAAmE0AOPxX/jOAyy/kDGBoIOiGFfdaAPz6178uL7/8sqxdu9b4/E2aNEmuueYaA38oagSNWUC823fiiSfKfffdJ4MG2d/eDVMIgARAAqBdAc5FIPG0BtDQJ/l3q7kIhItAMPHQFUXvS8N/2QkA+A0CYFfEKFv2udcC4O4QmABIACQAEgBxrXFXHuNv9zeACYBcBbwnVgETAHcHBXTvYxAAPeJHACQAEgAJgATAlosobWCyxwZm2EM3eS8CWfHNH3ARiAcjZHtTAqBHhBQAr33jZCkszZdhBZulf972YI+u/5+ZFYhHpKbZ+mLBK029AssiO0X91+DntiLh0fXxjv6yb/FmU39E4UbjwWZvNs0pfbFcD0H1/Er2AFRvuXTDhgeg+ovBW0zrA3TUnxC+beo1hr6053UHj7+/bZwcHO60/nPN9qC8bbK92frw4f05Pebwgo3SP7fGjjOnOfCzgydXOv8/3bl6+MEDUPuH8auf3G83HCmrfjTWVN8+LE/OuPhVs31U6eK0v+OqHnLpvNe2NJWafdQ1F8rA/GqzDQ/A9rzSUAd92thkHwEhJ9QTEV55qrl6MMJGB75wmgd9HT89rQP9XP/GVQmPsrnbh8oB5atN20m9VgRxwHhc3z3VXz3UEFP1SnN92KCn+q6hfVFOk9kn3n9r8UrMCbzqVjb2NfYeKIiJHgfxRymLtBiru/1B/9YkfPvm7xwa9HvGsoNk8EVW502f3le+8J2/m+2Di5ekjCHyRnXW/sHX0DUt1/G4j2nRF405PtfzyM1JbOvPvwUdTGzEJMdspcrZuTuHy31/tb9JXrpCZORXPjTbR1d+EMR5eOGmwA/T3XeyH6bmdk3iXEJdjA/FHQPG6+YT/CRRVtX3kaFF1mdwfK/VUh6x/nitjimRIG4a6+Q6qX79A9eyR9ZYz8aFy4bI5w6YY7Y/WbEwyFXktl7XBubZuKK4foc6FveYOL/0nUvEQb0ncT7q/pDD6vGHsav3YWEkGlyn8b3rHxoc38mb5Q39zMfwYdVzD76lv1p6lPl8U3WJfHn8O2b74JKlwbUHfZpVO9J8vi1aLEdWfCg7a5vk4imzuhSq9L5kALCXvd90pDTvrBcCYEeU6z5tCIAesSIA2psMAZAASABsfSEhAIoxjicAEgA9brFs2sUKEAA9BCYAEgA5A8gZwFSXEAIgAXBPzwBWPXiz9wzgyoumd+lspcftl007QQECoIeIBEACIAGQAEgAdBa9xHOC1x84A7hnHwFXPdAJAPgtAqAHImR9UwKgR4gIgARAAiABkABIAMzGdwCrHrjFfwbwW7dwBtCDEbK9KQHQI0IEQAIgAZAASAAkABIAPW6kbLrHFCAAekhPACQAEgAJgARAAmBWAuD9nTADeDFnAD0QIeubEgA9QqQA+NO3j5BepXkyKL+61a8BqEWDWl/gpWC1gYHtR+/cHebo+F5tDNZGe8sHOwaazwcWbpdxvdaabVhoBNYVxn7C+q9pe/yLfailhWv/ovWwD7UnSR62ayGidhnYh1phwAKmMMfa0MBmQY+fbgWw2lI8v/kA2dZo7V5OHjBfqvKtrQ1sU2CloNvDCzaZ7SF5W4MxwPLCtdJpsR+Jm7qwaGmM59k+5UQDGxLU0/EjBn/ffoCp8+//PVRyG23bqdfMls/2mW22oav7M16Bro71DEaMYmw44nYbFjdqmwILC7WcSKcxjuG2VXgsza2Xvrm1Zp+IkWqu9iWrG/rIsEKrm5tjiJPmlmvfs6mpTGZt29fUH1GySaaVLjHbri1IsuVKdczagkTE6gMLGNi/mM9ymoPcs3Vs7kFj17KmWa1PJCKwfzF1ItHAlgTvhA1KWH2UR6w1TCQn3iqXg7HHSmX+zipTB5q9ssHa9+Rf3kt2VlWY7Wm3vSOnVFhrEdixqPWPxsnEqLnUrEbVvpiNNAXjKkjY2qAfqm1xTkOrnEzOw+TdYQFIKvuXJY0DTNUfv3S69HvH2sSUfGWNnLGPHcPWphIZkG9tpMYVrmllMeMuKtFcRP+2x6zNB84T1/7FaJBk9QPLFaNJU6mxf0HpX1Ajk4pXmm3EPDkv8LnqgG2Tn4m80HEne/+p3cxTG6bJW4tHmGrHTPhAPtfXnm84P1Yn+oLjDcm3NjQ6Dvyr+zD1nWtdKnslnAd6LuF6pDYwsGPSfMLYdT/982oCrRBvzXkz1sR5vrmpVFY0WvsXtXdCOz3fH1l5uCxfZ3P88/vPlSNKPzDbOLbq9faOEbK2webqYeUfm3HW1cTkC5MXdeljVb0vVd3XCQD4PwTAIDn3wg0CoEdQCYC4IcRSKkgAbCsLAZAAiKwgABIAq6urzW/Qd0UhAHaFqnvnPgmAHnElABIAOQNo/wcAMzacAbQXE84A2hlyzgDu4RnAX0z3XwRyyc1dOlvpcftl005QgADoISIBkABIACQAJl9CCIAEQOTEnn4EPPTn/gC46lICoAciZH1TAqBHiAiABEACIAGQABgJftoN7+jxHUD7XjIB0OPmyqa7RQECoIfMBEACIAGQAEgAJABm4yKQoT/rhBnAyzgD6IEIWd+UAOgRIgIgAZAASAAkABIAsxIA7/2B9zuAqy6/ie8AejBCtjclAHpEiABIACQAEgAJgARAAqDHjZRN95gCBEAP6RUAH5szUYrLctt4ALZ46BWao9TEigKPqsrc2sAvCj5W66PWL2rhjkFSnmc90g4oWRV47xmvuhzrv5bs1VUTsz57rv+dOyz1R2vPA9Dtq+shqL6FsHtRnzHsO5XPoB4T43l52wTz59LavvKpAQvN9pjC9YEnGzwAdd9D8rfJvvnWB9B6D1qPNPhp6bYdt/Wo03eM4NmVLxZA1LsQ2/DjU6+yt3eOkCce/JSpU7mwUfrdssxsXzj4NSlKeL4lewCq96D7Mr/rvQaPMJQtsRKpTHg5wkNNPfFc7ZO3FRgRb9WzMm+HwLNMi/r/rWiwPmODC7ZJVcEWs+1aydTHC4J3r6CV6vnmtpEyoLDG1D+0bEmw72RfOI058kdX8Fbk1pl26gGIbdc/En6DLT5r0UBn6KN5uTLaN/BWg9elWgL1z9sufSPW+xL+fzamLX6W+HtzrMR8Pr++SuA9iTJv+1DZdP1ws523vV763bfGbH994L+CnDB9TOQH4rat2foawhtT/RlVX5NXcZtjpg+Jvrged8gBjQly3/X10+NoPIxeEglyFXXVK1CPsa6pt1w/8wzz56AX86Xu7Gqzff7oN6U6cf5W5O6UiUXWky85l1L5AG6LlQS+ksgl1VLjGgxQxFxf1CtvTUOFlObZfJtSsizwI02+rqifHXIueTxoq5qot6Ue74Wtk8zmS/MnyOTRdjxfGfxGcM2AJ5/2cZ/8rYF/Y3Jc3P6n8/9DHYxL+wevUjfe6n2I48HHD6UsgnNVDcxtHtoY5gg0RfmoYaD0ybO5ij6iIJeeXDfNbM9bto98atwis/2pPvOlPLLTbMOXdN7OYXYfdf1lWrm93uxbsNHoBR/Asw9c0KWzaoENzD3+M4Arv80ZQDcP97ZtAqBHRAmAqcUjAKZPKgIgAZAASADcLT6Ad3cCAF5BAPRAhKxvSgD0CBEBkADIGUD7ayGcAeQMoF4NOAOYJTOAP/2h9zuAK6+8sUtnKz1uv2zaCQoQAD1EJAASAAmABECcBXwE3HItIAASAD1uq2y6GxUgAHqITQAkABIACYAEQGv8zBnALHsH8CedMAN4FWcAPRAh65sSAD1CRAAkABIACYAEQAJgVi4C+b9OAMCrCYAeiJD1TQmAHiEiABIACYAEQAIgAZAA6HEjZdM9pgAB0EN6BcAn5kwwNjAoaokA24H65nzzWXXMWlLATgJWGCju91tipfJ+7T7mc1i9HFS6wmzD2kHtIPB5sk0D6tQ1W4sZFFioqFWM2ni47ZJtYNQKA33R/aCPehzYHqi9grvvdBYwOvaZtWPl3S12PMf0/0gm9rJWELAtgf0LSm2sSAbmWyuMkQUbWtnKBPYS0nJjgfWGa/9i9JSYWXxgdc8z9g5aFjUMMZv3PPlZGf6ctX/Y8cMd8v3Rz5rtkpzGVrY92k4tYPRvtd9QmxlYwKxvspY9vXPrRG1T2th2JGxGXM23x4qCttAQ9i82bi0WMLChWNrQ33xekWctWaAP4mLHmRvYByFuqjksht6qHmnq9MqNyicqFttxwhJHLKShuDmk9izYh44j0CEeCew58JnuA+N0+wvbCxTYaqyOVgZ91DzHMWB5hNI3t1byk6yMEFfVGDY279UPNXVxzqys72O25915oFTMtOdE/aN5cv2I5xLHjAV9dPeDvFVLnLJIfZDDGkPkiuYS9FBtsVONP8YYSdjKBOIlrJZcGxj9zrUMsnrYeKmtzfVzz5A+M6zFyPrPNsi3Jv/bjqc5P7DVmdxreWBNhO/Unij5/UK1uME5q1ZCGEcq+xe1FNoULZN1jeWJHIjLwWVLzTbilOq6ohYwqKM2UsFY4wnoj7cGP3yPc/+puVNM1RFDN8g3hv3HbOPc1PMGYx6SsFaBpZB7LL0m4bxxt5OtmhBLtbXB/lUH7E/HA+sdtRIamFct5bnWXis5tmqBtL25l7F/sftrlH0LrDWV5srTmw6Sf38w2nx2+Jglcnq/d802rI70PPioYZDMqakyn08pXy5jCtepbLvfBuZ/O2EG8DucAQwCuBduEAA9gkoAbC0eAbBFD/fmpZ8SAAmAyAUCIAFwt9jA3PUj/1XA372Bq4A9GCHbmxIAPSJEACQAcgaQM4A4CzgDaK8FnAHMohlAAqDH3b1nNCUAesSZAEgAJAASAAmALdcBAmD2AOCwO/1nAFd8jzOAHoiQ9U0JgB4hIgASAAmABEACIAEwG98BHHZHJwDgNQRAD0TI+qYEQI8QEQAJgARAAiABkABIAPS4kbLpHlOAAOghPQGQAEgAJAASAAmABECPGymb7jEFCIAe0hMACYAEQAIgAZAAmI0AOByPgIuKOnyHa66vl+V8BNxh/bpDQwKgR5SSARA2KOrFBa8r9VnTQ7ieW/AqU3/ABXVDpLHZ3kgPLF3RyltOff1cry7UQ3sUeISpLx/quv5/+N5t53rSwabE7av2Ef5lum98Bh85FOw78CSU5laqqXfau3XDzeevbRgth/ZbbranliwN+rSuqUKqm6wnIjzuxhWuMdvwatMCD0DdH1ZWqucattXHDf5/duz4rMBsF+c0BH5vq6N95KYXvmA+3+9X22TJjbbOXVP+KL0j1lsv2Vcs2f9P+6MeYOq9tqqxb+A5VplXG+ibrK37t+q5Jto78JyDN55qi2NprsADsDASNYcfXbje/Iv4av+QVxo35Jt6Tc6qGSHRZuvLdkzvxcabDCWdByD61BC3PpXJHoD4LJU3nPZFtUGf1CMOfnM6zkF524LxwP9tUJ71e4QHYHIe4/MdzTY+Cxr2kU0Jn8jqpl7y0q+OMJ8P/M0cWfE763H4fwfOMB6Odn9NQX6Y/SRyYVusOMgpaKdekZo/6KeeJ/CN01yAnvjb7DuRYzpW9cNM9gBUD0P1rjTa5TQHWtz60SlmF/FH+8u6Y+x5840jX9PdGm+4g4qXmb/LnfPAzU83N5GHsBMysYhEg3NS89SNHWKyPmo9Kzc2lkk04d93cNkygS8eCvwbtSBXdBxubIMKiQ317XOtjvTcf3TOYdKvr/XdvHjUvwLfU3idIi4o8ADU3Hc9APGd632ox3W1UKspjE1zG/vSayByQr0PcX1Vr1HkYXAtc/wdcQ3RvF3SOCAYKrw3tfyjen+z+dz7E2X/4faadfbg/0rfPOtvibKkwbZ9p2a4jC+x3n/wP9V8177W1cTkC5MXdam1it6Xht/+Y38AvPb7XdrX5Nzi37tXAQKgh94EQCseARA3/XiQSbgxEgB7GT0IgARA5AEB0JpnEwA9brhs2ukKEAA9JCUAEgD1//AJgJwB1EsJZwA5A5gVM4C3dcIM4HWcAfRAhKxvSgD0CBEBkABIALSPEPkI2Pm5PT4CNjnBR8B7+BHwrZ0AgNcTAD0QIeubEgA9QkQAJAASAAmAOAv4DqB9/5fvAGbRO4AEQI+7e89oSgD0iDMBkABIACQAEgDjwkUg2bcIZN8f+88ALvs+ZwA9ECHrmxIAPUJEACQAEgAJgARAAmA2rgLe90edAIA3EAA9ECHrmxIAPUJEACQAEgAJgARAAiAB0ONGyqZ7TAECoIf0CoCPzZkoxWW5Ai8u9bWC51VzPMfsvX+eXRUHjyr1rauJFcminYPN51saS+TAspVmu1/e9ha/vbS+aYWB9Qr8r9SLLZ3nW6ohoq56yOF79fiDV5p6bbn+fK5fWvL+FtbvYz56cf148++EivVyVPkHZhv+gepFBo839bibULQm8ORD/13/MXf/6rOGfiV7s9XFC43/HwpWXm6OlZrt7715lux3h/XBW3RZhdxx3B/MNvzokv3/8Lnrs5bsv6becssa+9vjSLP0zrVegsaHLsn+JVkbxFvHj+/gHYgCexQt8CFbmvARw2f7Fa01XxUnPBjRP40V4qbxwb9za4eZupsaS+TYPovtOPOrTS5qcb331POsrrmw1Tg0d1ygdfeh+QGLG81x9E+93VzPNfRV/fQG5VZLUcRCYioPQIzh/QabP2ujvYOxPfHHY6Vq+kzz+Ye/nib3HPOY2YaPo+a768mH/FCvRuSEer4hr9QHUL0W0T/XX1PHjjFqPrlxRG4l+//p9610zrE+f+jLg6uPNdtrfm39C7dMFDnn0/+2cc1tkLqY9fGEB2DfhGcj/k6Vn/i8LvA4LGkZf05c1IsPY1B9Yblijt3YRzZHS8z2jlih8RhFqSrYIkUJL0V3nDAz1nPBeiy29vu0YysIjqm5/2HDQHngvU+YXRUUNMml463PYVX+5iA/NjWVG/8/lLLcnSnP93RjRxvNeR0bYlgcsX6QyDUdD77fmPCSHJi3PfDDRB0dT8TxAcQ1ROENxxhRaP3/UPfN2tFm+6n3DzL/Dhu4Rc6tetNsD8rfFki3JtpH3tw+ytYp2hL4OsJjMfm82lETkzMnf9Cl3np6X9r3h50wA3gjZwDdc2Rv2yYAekSUAGjFIwBaHfRm7KYUAZAAiHwgABIAkQe7EwBH/MAfAJfeRAD0QISsb0oA9AgRAZAAyBlA++sOnAG0s9AonAHkDCDyYE/PABIAPW7uPaQpAdAj0ARAAiABkAColxACIB8BZ9Mj4BHTb/X+KbilN1/fpY+rPW6/bNoJChAAPUQkABIACYAEQAIg3wHMxncAR9zSCQB4CwHQAxGyvikB0CNEBEACIAGQAEgAJABmIwCOvNkfAJdMJwB6IELWNyUAeoSIAEgAJAASAAmABEACoMeNlE33mAIEQA/pFQAfeXeysYGBPQbsXVBgKVCZZ61I1JICFhx1zQXmsw92DpK19RVme0LZGhmSsBXIz4k5NhetbRjUQgb7Rj0U2B+EtX9x68FGQS0fYCWDF9e132qvACsEtdzQ4yXLtbyxnzyzfpL5eEhxtfn3U30WBLYM65p6y4ZoedBsbNE6sz0ob1srW5dUViz4TG1Y0Be1b4B1AwosO/S9K1h83LzwM+bzgTdFZMkXepvt6z7/RxlVYK0d0tlMYM+pvoMmK6N9A12wAQuYwIakHQsYtUqBRYRa2VTm7ghsKbAvjefyxr6BLcjYorWBPYtqAquR5rj9rVnXamjBzn1k+Y5K8/lRlR/KvgWbzDZWIyfbT+jxND/LcuuDGLkWIgq07jF1vNgHclgtXpBDsPcwsc/fGljPYB/75FnLD+RWJKGTayui/fuwcaAsbbAWOyi/evU48+/oy9+UJXcebrZvPf1xGZLYn2vJgv3WN+eZOrCAwbFQyiP1wf4wDs1tzRvXugW66vj0PLW5Eg9yK6wFjFqVzNh8iLzz8GTTh50DbVdO/txbMrjAnh/VTb1kUrG1fYI1kZZ0+QkDE7XbgbbaX+SYjgXaqs3NqkabE5uipcZiCuWAslUyMnEeuJYo+A72LyjueYAFDG5JVUfPjZ8tOFaiUWs79K0D/i37FVobI/RHLZBgb9U3YYEEa55U57uey3pc1xpqc5O1tqlpttdXxKowEW+MpybWy3y+vqlccJ6hwHJJY+peP/Cd5gSuX7rPkQUbg9yeWzdMfrvgELOfPmXW9unCka9LVcFms4394dqG8sb2UdI33x7zkNIlKc8rfIecr6uJyRcmL+rS9+r0vjTypk6YAfwBZwBbnQh72R8EQI+AEgBFCIA2gZItYAiABEDkBQHQ/k8uAXAPAOCNt0pukQXmjpRYfb0s+SEBsCPadZc2BECPSBEACYCaPgRAzgByBpAzgFk1A0gA9Li794ymBECPOBMACYAEQD4CNo8Ec5qDX6vgI2A+AtZHvsmvPezWR8A3dMIM4I84A+iBCFnflADoESICIAGQAEgAJADyHcCsfAfw+50AgD8mAHogQtY3JQB6hIgASAAkABIACYAEQAKgx42UTfeYAgRAD+kJgARAAiABkABIAMxGABx1vf8M4Me3ds0M4JYtW+Syyy6TZ555RiKRiJx55plyzz33SGmpXe2dqtTX18vVV18tTzzxhDQ0NMiJJ54o9913nwwcmFhqLyIrVqyQiy++WF599VWzr/POO09uu+02ycuzK91R/vnPf8pVV10l77//vlRVVckNN9wgX/va14Lv//Wvf8ldd90l77zzjqxdu1b+/Oc/y+mnn96qS/F4XG6++Wb55S9/Kdu2bZMjjzxS7r//fhkzZowHUez+pgRAD80JgARAAiABkABIACQAZnYjPfnkkw1cPfjggxKNRuX888+XadOmyWOPPZZ2RwC7Z599Vh555BGpqKiQSy+91MDj66+/btrEYjE58MADZdCgQQbgsP9zzz1XvvGNb8itt95q6ixdulQmTpwo3/rWt+TCCy+Ul19+Wa644gqzXwAlyvPPP2/2OXXqVPn85z+fEgDvuOMOA5aPPvqojBgxQm688UZ577330dfDFgAAIABJREFUZMGCBVLksfI6MxX9axMAPTRUAHx49kHGBxB+UvBJQ6nMrZXyXOtHBr80FHynnmfL6vrKmBLrTze8cFPg6wePL/fFYfVlwz503/C9gv9fckHd5NWo5sQQ6yGHovYkWLGovmnwEqtL9Bv+cHp89CWd/9/6Jmvv8MyGyVKUaz3DTuk3z/xbFtkpGxP+cPAB09WRIwo3yj75W0ydopymwHsvlScY6tTFrWciCnzZ1LtLPcrQN/3sZyuPl+gNA0zd9YcUy4UXPmu2Dyha2cpv0NUs3XHhu4YCny/1bUQ8UVzjZ6NtPMfdZaDxuoQ+Dc35xo8MpSK3LtAWcVgZtX5tW6MlMraX9UeEz6AW9XiDV51uo53m0IKawXJo76Wm+uhC2970SSKtckhjDi+54kiDqQN/NNcrUOOssUreh+aem2PIgYEJHzv3833yt0pJIj/h1ZfK/29Zwl/xg/rBEsmxfpcPzf6EjLngPbO9+sppcuXX/2S2xxSsD3KlIOF/ic+hCfz/UJATZQn/P/j2qfcixq5ekqqD66WIHHe94lRD5Jt7LDfIQVwkJzg/4Fn39+0TTbXnf3eESNy2OPTLc82/40rWyqZomdke32uNVOWrn1yiYgqfSs1D+OmpRyDGqZ58iJXm4/ZYkaxy8gnHgc/ouFKbF/CXTDVO7EvPAxxDvfjcmCXX0XP7Fx8fY/a9ZUupnD/5DbN9UPGy4FoCD0zNfT1/UCf5vEv2/1Ot1QdwS6w08EHUMSBfNZdx7VoTtZ58Fbk7pW/iXMX3eq1QD1HUga4rG62/56amMsF1CQX7XtJgryEPLDxKCvKs1+qFYy1gjClcF+Ty5liZ/Ge7ne0pzo3KEaUfmG3kYLO0vSbgu93tA5itM4ALFy6UCRMmyKxZs+Tggw82ur3wwgtyyimnyKpVq2TIkCGaAsG/1dXV0r9/fwOIZ511lvl80aJFMn78eHnjjTfksMMOM+B22mmnyZo1a4JZwQceeECuueYa2bhxoxQUFJhtwN78+fODfZ999tlmFg99SC45OTltABCzf+gjZiO/853vmCboH2YiAafYX3cpBECPSBEACYAEQGtkTAAkACIPCIBZBIDXdcIj4Ns6/xHwww8/bOBp61brFYrS1NRkZs5mzJghZ5xxRpu78iuvvCLHH3+8adO7t4V9lOHDh5sZvCuvvFJuuukmefrpp2XOnDnB95jxGzlypMyePVsOOuggOfroo2XKlCly9913B3V+85vfmH0A4sIA4JIlS2TUqFHy7rvvmhlHLcccc4z5G4+yu0shAHpEigBIACQAEgBxCeEMIGcAkQfZNAM4+lp/APzo9utl5cqVUl7e8mtOhYWFgv86WvA4Fo9OFy9e3GoXAwYMkOnTp5t3+JILZv7wmBjv/rnlkEMOkeOOO07wSPab3/ymLF++XF588cWgSl1dnZSUlMhzzz0neOw8duxYs5/rrrsuqIPvTj31VEHdXr3sL8poSTUDOHPmTPPOH2YaBw8eHNT94he/KKj/5JNPdlSa3d6OAOghOQGQAEgAJAASAPkIOBsfARsALPT4JZCGegEAJhcsfrjlllvafH7ttdcaEGuv4PHvn/70JwKgB3d0ZlMCoIeaBEACIAGQAEgAJADuzQAYdgYQ79lt3mzfbU1X8Dj297//PR8Be3BHZzYlAHqoSQAkABIACYAEQAJgVgLgNZ0wA3hH578DqItA3n77bbPSFuWll16Sk046aZeLQB5//HFjGYOCR8jjxo1rswgEq3/xOBnloYceku9+97uyYcMG89gai0DwyBcrdrWcc845AluaTBeBYAEI3mVEAQvgmFwE4gFU3a0pAZAASAAkABIACYDZCIBjvucPgB/e2fkAiPMF7+OtX79esEpXbWCwIlhtYFavXm0Wffz2t78VvOeHgncDAW+ALLyTCB9BFLyTZ87BhA0MVujeeeedsm7dOvnqV79q7F6SbWAuueQSueCCCwSLSy6//PJWNjC1tbXy0UcfmX1i4chPfvIT855hZWWlDBs2zHyOR9233357KxuYefPm0Qamu0GcT38VAO995zDpVZpnbFrUxgP/qv2LWpWsaqyUD3ZY08qhRVsD6w9YGsCOAiXZAsbdh1p1pLOKsTei1hYEyRYwuj9YyWhd2CiopQKsL9SWQ21ikjWCncjfNtnVT/WxPDmlv/2/qUH5FgY2N5XK2oQtQ12sQIYV2scCQ/K3BtYzydYPsO5AgRWF6gU7BR0ztNU22i/YYDyx6VDT7uMfTpCd/ax9y0lX/luOK1tgtvPFWjkkl3QWMPh8Q8zaddTEeknfhIWLxgcv+2vbdFrD+gaWQCiuLQX2ofGARcaGRvti9YiijdI/ryboomv5ojHVYyKHZlfbi9AB5atlUq8VQTvX1kU/hPUJ4oWCmMOix+zTsYqBxrp/Pbabh9De1UstN9Dnwpyo2R++H5JnV/WVR+oF9i9adF845pomu4JvQX2L1cPjH1sriH0u2CCbPjPWbH/puy/KtF7W4gaKu5YsavGiFjCo0zsCi52WY+o4kEtqy6H2KbBV0QLrD40tPtN8Qa65+9Nj2vjbcwy6qVXJ2ztHyKMzPmU+L14nMuqr1hbkiD4fm3/XR8sDuxHYibRoEw8sXoIPE3puT+QQ+uLmfL1jj6Tn8/LGfrKlqcTsYvVOq/G+xZuN5QwK4u6ec9pvxE0tZtzvETPNJ+SQ1oF2Dy3/hNnnstX9zb9nTZ4tnyizL/RDd+S2PWa99M/bHgzLzSH90NU+2S5oW8yOZ2NTWTB+5DAK9NDrBPJRLYAq83YEOW5jaC2GUHQ866K9BecRyojCDcE1e2W0rzzwgR1bfWO+nD/eLmyZWLTK/AtLme2J3JlZM0aamu315uiKRSb/UFwLGFjP6N84Nq4n+C3gC6a8a1acugsrgk52wobel7IZADHjBh8/1wj63nvvDYygly1bZvz1YOh87LHH2pgkjKAxC+gaQcP3TwsWgQAUYfaMxR8wggaoJRtBY9UwPPuGDh1qPPxcI2i0BfAlF+wL8ImiRtCYYYSFzFFHHWVMqbHIpDsVPgL2iBYBkADopo/eYAiABEACIAFwjwPgdzthBvCurpkB9LjtsmknKkAA9BCTAEgAJAByBhA5wBlAzgBm2wzg2O/4A+AH/0sA9ECErG+61wIgfqYFy83hFg5vnyOOOMI8t99vv/2CoIT5bcH2IkgAJAASAAmABEA+As7GR8AEwKznrz3ewb0WALGiCD/Jgt8XhMv49ddfb37+Bc/98W4Ayq5+W3BX0SEAEgAJgARAAiABMCsB8OpOmAH8P84A7ooDuvP3ey0AJgcFHkVYpv3aa6+Zn4MJ89uCuwosAZAASAAkABIACYBZCYBXdQIA/oQAuCsO6M7f9xgAxLLuMWPGGP+fiRMnmuXfu/ptwV0FlgBIACQAEgAJgATAbATA/a70B8DFPyUA7ooDuvP3PQIAm5ub5bOf/axZrv2f//zHxCvMbwsmBxZLz93fIgQAVlVVCW1gaAODXOEqYNrAIA9oA0MbGOTBnl4FTADszmi2e/reIwAQ7/o9//zzBv7g+9NRAMTvH+LHqpPL7bOOkaLSPONF1Tt3h/kaMKAeXWsTvlgLdwySvgXWL2pCr9XGlw0lna8fPLXg0WcvJs1B/WSvwFazUAkfwGT/P9RBf/SY8LDTfeMz9RmDB2A6/z+t/8LWibJup/WwO2nA+7JvwSazrX5zsEGpbrJea4MLtklVwZY248TFUYvxHkz4dUUlV+DvZ3WJBV5f+Fv7pR5mL9fsL6/85AhTt2hrTMbdON9sf6Hvf9OOoT3/P7TdHCsR9R+DB2BRTmMQTxPXeCToXyvdJSJbmkrNR1tiJa18ydx9bGyyuq1o6Bv4I+6Tb8EJBTGH75pboAe80FBmbRshw4utr+K00iWBz5nr62f6KRFTpzpWbG5EKMhN1ytQPRahSSr/P/Wbw/FVc/g7lubWm/1V5tYGfR2Uvy3wQoN/nusDqGPZGCuV+TurEnpaL71/rB8nBd8qMNt1oyrl8Nv/a7ZPLp8X5ESyB6B6LMLXr29uramf7NmnHnGubx/8DFEwLo0JNFD/O5xXqom7T3gAtvjm5QR6ot2iButn+L/PfUb6zbUjLTtvlZw2yObipqjNCZwH+xWutX3NafGmM1o5XnWan+oBiPrwKtSCcWlfsL2qsW9wnFX1FrwGFlrvvQOKV0p5Ilau357rZYljJ/v/oS3yRPPQ9eb8/drDZe6H1ofy0we8b/49qc+8oH/wAFQN4QuqY8O41DczN6dlzMlefbojnIOa89Yn1fp5utevVVHr5VeU0yT9En6DGG8qT1WMR8+95Q39ZGjimgSfQv38oaWfkI1b7Xl2zv6z5OAS60P5/7d3HtB1FPca/0v3qlqyZdlyA2NswAUMuGDjEJohoYfQXsLjPXonwKMkoYRQEkJCSAgQAqE8WgiQkECA0PLoAVNtU2xsg7Fxb7ItWbbaLXrnm7n/vXPX91plVa6kb87x8d7dndmZb2Z3P035rbYVtJ8Ptuxk9lVFimT/fpb1WBHatBX/T8uhHEDEXdAwVOo3R+Rne7/SKRzAMZe0Qw/gbewB9Bp3D9zo8QYQsMlnnnlG3nrrLQOW1NCWIeBMPYA0gDSAeMHQANo/bmgAaQDRDmgAk2DoLjGA/9MOBvB2GsAe6Pu8IvVYAwhSNz4V8/TTTxsqOOb/uUEXgWzr24LNVbzOAaQBpAGkAWQPIHsAxXwFhD2AydGNLu0BpAFs7hXe64/3WAN4wQUXmHl+6P1z2X/9+vUzXECE5r4t2FzroAHkELC2ERpAGkAaQBpAPA/c6S1daQDHXhy8B3D+HewBbM4HdOfjPdYA5uSkfhNXK+nBBx/0vvvXkm8LbqtyaQBpAGkA7XxFzgHkHEC0A/YAZpEBvKgdDODvaQC7s8FrLu891gA2V/D2OE4DSANIA0gDiDbARSD2TqABpAFsj3cr0+gcBWgAA+hMA0gDSANIA0gDyFXAOtSbTUPA4y4M3gM47072AAawCFkflQYwQBWpAfzdR/tIUUlYgBRQzAaQKxtiFgExd/N25v+C3KjsWbLUbBfnNnoIDxfRAESCIjmAXVGMAvAH28K/eEbEh4EBykFxNAY3k2MnKNfECr3J2i5mAtdxsRSaLpATb1WPNT8/rx4shw6eZ7Z3LlgtitdYE+1n9m2M9JGBeRbPMSJ/nXcdP25CJ4vnSUxQOgQgR4B1QKhvCgtQHwjIo+IvPqm3GIqH7z9MBn9UZ7X9+Wq5ePgrVtsEusVftdtCwCh2A0gI4F9sOkn8hj7ggRBRnAXOcXEriq1A3QKR4uU7gWTBKmHgXxAG5W+S4XkW54I60TQVvaJa4H/gdT6otivYB+Zvln1KF5pt1FU6fAvyVBOz81yR734huzrXXCuBHIH2qodbHm0fqFNtN6i35Y0WuYF4A8M1Zht1hZWeCOW5m0VxLX4ETFUiL6i3hnieOf/TTRbHtP7KHSS0xaJ2hty1TM4Y9G+zjTbo4l80/6gnRbwAvluYa9tKvClHgGux+Qp72/it56smQB2pDiiv3n9oh0kkTJOXhouSwfwuPWdZZIBc+9Yx5ppDXwtJ439ZnM9JIz809wBC/zyLhdq9cFlaxIyWVctX01RoNnHNvrkWt4Og9Yz61DayrLFcKhN4oCV15dI3bM/fs88y8z+wP3qPIc9JlI1FBCGkPHsk7rVnaOgiXJ6qnGzOf3PuGNl77CKzfcKgD83/qKcVCdQVfivWCPHdNqZty0XPuM80xNVnyepoWUpbdfEvOA8IGEX/DM6rltJc+xzQ87CNtPX+BFZmYf1gcw7OH5ZAL+Heemi5RUktWlkhx+xmWT77lS7w8Duq9+zaEaKonX36LvTu322ZP437ZYO9dv3mqPx06mudgoEZ94N2MIB/oAH0bpYeuEEDGKBSaQBpAGkAaQDxCKEBtAxCGsDUFcA0gAFesIza4QrQAAaQmAaQBpAGkAaQBpA9gPoa8a8A7lIDeEE79ADexR7AABYh66PSAAaoIhpAGkAaQBpAGkAawGw0gLu2gwH8nAYwgEPI/qg0gAHqiAaQBpAGkAaQBpAGMCsN4PnBewA/v5s9gAEsQtZHpQEMUEU0gDSANIA0gDSANIA0gAFepIzaZQrQAAaQngaQBpAGkAaQBpAGMBsN4G7nBe8BnPtH9gAGsAhZH5UGMEAV0QDSANIA0gDSANIAZqUBPLcdDOA9NIABLELWR6UBDFBFagAfmr2nFJeGDHdKOVbVsWL5vHaYSR2MMoSJJUulNGRZXTjXz//DfjDZauKW4YZQmBMx/+NcNRvp+GgaV88BxwsBLDflloG/1dBkOWwI4NVpXpSf5WcAgvWG8MGWneT9yhFme9+KRTKx+GubflO+rIlY/t+GqGWfoYwjC9am5N+7aGIjPyfq8f5sOja/YAAq8wxsQC0/ji1qHGTOufnvx5n/Rz21SSp/Zsvw87HPSGlOQtucuHc5ZZ9hB5hk6RiHYK+tjpSZOGCnlSW4eeCMKVtOWXKGMeewFpUttyba1ytPeXizFOcmGYJ6zuKGCukXtky+EfmVHucO6aXj/2lber96lGFIIhxYNt/jk7n8PldfMM+UTeYyAHGOx+qTuOH4aVBGm7L/cG1tNysjZRKJ2/oBQ021AEttSMgaQKSr/D+Xv1YTL5DP6y0HE/fEsnqLC/n05gnm/34frpD4Q7a+rhjxolff0F7Tw/2zpSnfnIN8KR9P26+p26Ych5WX5NyhLdU2FbjypHAcUe7CBDfSZfy5EaCTru6EJmBFIlwz+7sy8Cl7r1YeVydn7/aO2a6N50tBrr1v9yyy3E+3HSu/Dvvd9ljblJ/CvdTztA3ifOTl68YKkybuO+XShXNjMqlkidmvDEqUzU1f69tlH+J8ZfHh2aHPDTfeK9W7yTOf2voaN3KlnDZshi1TooyrI/28toQ2oexB3G9uG9X95pqJe9TlAOIeQFoa9HyX7Ye2qDoMDm8y26WhumS7cRiPLg9zYcNg6R+2TEZwCrWd/3XtFJm1aLjZf/DYBXJo/8/Mdt/cOq8u5iXa7xe1g2VK6WJzfMf8dV4+bT2m4l+wDwxTfWaBf4lnYm1NTE6b+EmncAB3owFMqSP+2FoBGsAArYIGkAaQBpAGEI8QGkD7xwQNoIWvZ40BzLdg8baEWGO9zGUPYFuk6zZxaAADVBUNIA0gDSANIA0gewCzsQdw/Dk3SSigAZxzL4eAA1iErI9KAxigimgAaQBpAGkAaQBpAGkAA7xIGbXLFKABDCA9DSANIA0gDSANIA1gVhrAs9uhB/A+9gAGsAhZH5UGMEAV0QDSANIA0gDSANIAZqMB3P2s4Abws/tpAANYhKyPSgMYoIpoAGkAaQBpAGkAaQBpAAO8SBm1yxSgAQwgvRrAP83e3WBggDGoidlVV0DAbIlZ/MSEEouCKA9v8ZALfgSM4hKAuQA+AQHoiHSomExZRhqKcVCECM7VNICAUSwKUC2KYMBxF92gCAjkY07d9uZyr6wZI5MHLDfbe5cslHiTzePqaD+pjJSa7eKQRZ+Myl+XgkHR8iB/HtohJ+KhIIAVUUwG8qeYkT4OSmV1tEyufu0Ek/7YP1j8wxdXFslvpj5ptgeEtqRFvOCYXh/bfuyGLUOZl9+y3FoPlYJjLpIGv10MDHA9isDJzYlLechiJoCl0FAbLxDgXxCABtm5YI1Xt4rlMGkm6hz7FFExs2ZHc25DPCwH9Z9ntoGoyYR/UXwQ4ivKBvnSYFAtYn/7ETBaTuRXdVoTtUiOzbFCGZRnNQfiRMs5PG+9V28uBkbPw/9zG7bz2semWJG8ct80k86QP881/698ZJjcMv5vZrs4pzGJqclp8vBJaA+b4va+AgJG2wowMYpYQv61nlFG3VZ8DOJq23fLjvYIJJEtc5PXJnGurubEMW23VbFi+cUXR5jz8x4tl9Xfipnts6e+5aWP33sW23u+NNe2BaSXRJ8kkSE4pggkPD/0/DyJCTBIGjTvuN+WR8qtdvX9JZK4D4GYAn4IIR0myo9j0bx4F0i0bff+APoJ4dFPpsp2Qzaa7XNHvOW1LW0feNZg9S8C6sa93zV9PwLGxb8Al4IAvI7WDdAvGgfnroxYfBDaH8LAcI2XD3uurUM34I+zRQlkDvBSoxJoKrSVf663WJs3F+wie+9skVbHVcw0GCgE3ClfNgwx2x/XWEzMhNJlMrZgpdlGW9H24Zo/HNN6A66nOmYxQfpMBAbmxAmfdwoGZvcz26EH8H/ZA7hVw+pBO2gAA1QmDSANIA2g5d3RANIAoh3QAGaPAdzjjOAG8NMHaAADWISsj0oDGKCKaABpAGkAaQDxCGEPIHsA9VWSLT2Ae5zeDgbwQRrAABYh66PSAAaoIhpAGkAaQBpAGkAOAbuvERrAAC9VRu1UBWgAA8hNA0gDSANIA0gDSAOYlQbwtHboAXyIPYABLELWR6UBDFBFNIA0gDSANIA0gDSA2WgA9zw1uAH85GEawAAWIeuj0gAGqCIaQBpAGkAaQBpAGkAawAAvUkbtMgVoAANITwNIA0gDSANIA0gDmJUG8JR26AF8hD2AASxC1kelAQxQRWoA75s12XAAwaj6os6yo9Y1lshuJZYZNTichOWm4/qB0QUGGAI4WMo587OtQjmp/DDNujK+wK5Sjptyw5AG+H8I2FecYOshrcKcRrPfTddlqC1qGCQvrNnNnLNTaaVM7zffbIMtp8anMlpqmFgIOxdaxp2yzLANJpjLIAOzC8HlnGFbuWQuEzAkTbI+1secf+Xs42TkLyzra8HZljt40yFPynZhu/rQ5Ze5VZqJAYjrrIxathh4YxUhy7nzM9SU0Zbk9IVlU4L1CA6a8hDBYCvNrff00XpY0jDQyw70UW2QL+X9Ie0kEzAkn22x7MXKxhLz//5lX8iQPNuGMjEAwWLTa4IB6Of/qUZ+/p+m6XIjsW9DrMTj9w3Oq/bYjMW5jQL+H4KfyacFrY+HZUHjUPNzZSNYdZZn9+RT+8uIX35k6/DePcz/v9/3zwL2IgLaQJ7DLVTmGxiAyoTsk2izei3lF0JPl1+p9WbLbdun8iWRH23zhoEpluXnBj8DUPW5c9lBsvHBHWz9TGqS/5r+ttlGu9b63KN4qQwIWSaf3od+7h7ats1T2Lv3i3MavPYXkxwvOzh3bcy2+SWNA2V1Y5nZrooUeYxR1JG/7aKtaLs1ecyx954/L8oOtVpZTuS8+u3kns/2Ndv9Suvkwp3fMNtD8qoMrw9hQ9S2TzAA9bniv99VZ6Sb5CAm2ZRgAKKtGS3ieUZHBNyTygpcFy31rjUwr8YcRxvXNuGmjWNaV4sbBnka7lyw2tt+vXpX+ee88eb3rsNXyYlDPzDbg8KbPL3A8JtVM8LsH11sn2vji5Z5bQXtw8//wzlYAKLMQuR7RL69V8AXRFvoTA7ghJN/IaF8y89sS4g11svHf/pJhzIL25Ivxmk/BWgAA2hJAyhCA2iB2DSAyT9OaABpAPWxSgNIAxjgFcuoHawADWAAgWkAaQDZA2h7bPBVDg00gDSANID4skkX9wD+dzv0AD7KHsAAFiHro9IABqgiGkAaQBpAGkA8QjgEbD8DySHg7BkCnvhfwQ3g7D/TAAawCFkflQYwQBXRANIA0gDSANIAcg6gvkayaQ4gDWCAl3sviUoDGKCiaQBpAGkAaQBpAGkAs9IAntQOPYCPsQcwgEXI+qg0gAGqiAaQBpAGkAaQBpAGMBsN4KT/DG4AZz1OAxjAImR9VBrAAFVEA0gDSANIA0gDSAOYlQbwxHYwgE/QAAawCFkflQYwQBWpAbxz5t5SVBKWxQ0VsrSu3KQ4tmSVbJ+3wWwrnysdAxDHwa1SVhr4V8rnc7O2LQagsr7A0VKml14Lv5V/Bgadyz/zc8P0eisilo/3/JrdpbzAMtoOKZ/jcbfAAVMOIHhYIwvWmXPKE+wzN98ol+YP13PzpeVEmZXdBVaZ5mtLU778YuGRJrni60tl6WGWCfij7z9l/h+VvzYtww3HMvH/9EPtq6NlHlMP/K/CHMsYdANYbFov4JUhgLWnnC8w3MpDW8x+l72HeljaaPl/2B5duMps9w1ZTqDuT7IFQx4vbn7dUFlSO8Ccs0//heb/HfMrM/L/lB9ZEyuU0kT60FXTBktN69xlCLrtSbmGuFZNvMhcc1VjmShzzXDzEty67fPXS9/cOnMONFO2HH4ru+7LxiHi8g8ffP0Ac/4ul8+Uhb/ey2zf/J0/m/+HhKo9PpzLAIw05cr6BB8O1wBzEAGrjeNNlpGH6ylnzxPW4f1hH9qSMgG1Dv0cQOXNuWlAP+UDos08vnaaOTz3od1ks8U0ytFHvScDEly6zdFC2a14hS1TuCoj/w/HoaXmCfWn94HbBlE21bwqXizLGu1zBfWyrtEyAcf1WSWoDy2n5t/lguofKFikoow/lwPoZwCCM4hw5+cHSk5iZfdFu74hO+bbe7wq1se798EeRMBzRe83fxtz+Zz5zj2m7XN9tMTjVyKPeBYg4DmhvMHKSKnBLCH0C9nnERiALmJGy466XdRo+X/YHpXIN9KbuWWk2f/E53vJ8Ar7bD5l+HuGbWjrJS4rIlbn9zbtJNsXWsboXn0W2TxJTJQP6WcA6n48V1ZGLKcRz/8BiXxr/sAB/I8953coW0/fS5NoAFV2/p9BARrAAE2DBhBGiwYQTYgGkAaQBjAVVA6DRgNojWtXGMDJ3w/eAzjzL+wBDGARsj4qDWCAKqIBpAFkD6AdAkZgDyB7ANkDmD09gJO/1w4G8K80gAEsQtZHpQEMUEU0gDSANIA0gHiEcAjYfhGHBpAGMMArlVE7WQEawACC0wDSANIA0gDSAHIOYDbOAUQPYDiv7d8CjkbqZSZ7AAM4hOyPSgMYoI5oAGkAaQBpAGmwKGhAAAAgAElEQVQAaQCz0gD+x43BDeCT13TogpUAr19GbQcFaAADiEgDSANIA0gDSANIA0gDGOBFyqhdpgANYADp1QBe9e5hUliSJ1/VVsjI4kqTItAoisjIzYmbfS6SA7+BCDH/N+V5+AM/AmZb+BfNuqJAkJ6LWcHx2ni+FOc2mlMtZsHiTjIhYIBleL5yD3MOUAeHD/zMbJeFtsiGBJYDCBjN+4iCSqkI1yTOt+VEUHwKcA+K2UBZdI4QcA9AOXjlF4t/gGaKrbl/9QGy5mejzP4N4/LklLNfMtuTir42/yumw7toYmNbCBhFS+AaFeFN3jUVuYEdupgBiBF9sCumBgiYmrgdVukXqjOrfxFQxsamkNleFekvG6IWWTO6cHUKCkLPAX5DtcD20kaLfpm7aZhMKbPlG5PAx7jzqtyyIl5VrNjsKs5t8PTMpDn2u/WuZUL6DU22LS5P4EZQNg3QY1gClQHkh7ZrF9mDc5ZFbBkWNgwWbfP3zt5Pxlzwpdm/9KLd5Yen/N1s75K/2uqWExc//gX7gT7RdlOWwM64+cE2yu+uMtV2g2NaznQoH7d94H5wMTCKJ3GRHy9V7yGvPLq3uXwsX2T/42eZ7VFFlV49jytaKcPCFhui5XLrKrXeQknsUW5E+uTY+9OkLxZxg/a4KdHOoOvGRHtaVt9fdi5ea84ZkV+ZUp8u/gXHgYDR+x33m4t/UXwOtFANcW/cufBAk3bNlkI5d/y/zfauhSu8/KL9K+5J2/62vv/r6qE6Q2PgZMx1YoXmuYTgIrBwXNsiEDCKf9FzkZYiYxBXnzfQqjpq74mdC9d4iJ0FDUPlwXnfMPvL+tTJmSPfMdvD89d79b822lferdnZ7O8frpWpJRb/Upyj3znOMc9Ef8AzYn3MonmWNA7w7hXo5GqO452JgdnrhOA9gB/9jT2AW1V4D9pBAxigMmkARWgAaQBxC9EA0gAmzZ41Sa45hxGiAexkA3h8OxjAv9MABrAIWR+VBjBAFdEA0gCyB9D23NIA0gDSAGZZDyANYIC3e++ISgMYoJ5pAGkAaQBpAPEI4RCwHbpGSPeFDvYAWm06cwh4yrHBewA/fJo9gAEsQtZHpQEMUEU0gDSANIA0gDSAuVvx/zgEbD+N2ZVzAKcc0w4G8B80gAEsQtZHpQEMUEU0gDSANIA0gDSANIDZuAhk6neDG8APnqEBDGARsj4qDWCAKqIBpAGkAaQBpAGkAaQBDPAiZdQuU4AGMID0NIA0gDSANIA0gDSAWWkAj/55YBD0B8/+lCDoAB4h26PSAAaoITWAJ712kuSX5MvgghozGRwBjCplcLkcPL0ceHC18QLzE7gEl2+l52RiAOK4y5BTnhuup4wz3QdWm8v+8/KUk8qz2hSzbLt/bRgvVY1FZvvwQXNkSLjKbIPLtSba12zju6fbFVjm2XZ5G1NwD9gHJpfy1Fz2IdiByofrm1snjU1hk0Z+TlQKE3xCrCZ9rmqi2f/ub6ZKzOLp5OBLZ8ghfS2TMB3/z2W7qaaqox5bGyuVmpgt25C8Ko9nl44BqHGVLQf+GcKGaIlh7iGUh7ekoC3AR0RYE+krOxSst9cJV3mT4lHnYNchoP50G7rOqhph9u/Wd6XsUbTUbGv9+7+vqizB6lixx0IDny+d5oir+/0MQLcNKXOtNFRvro16akhwKgfnVQvSN9rnxFI4gDrHaXW0n8yr386L+8SiyWZ72AU1suYIW7aT/+fFJMMxUd/QPjfRFuNNOVIVt/WDUJpr8wJOII4Z3SSpm4sZiUhIlG2HNq917nIAVQfV3ZRT4t48LcRHW9TwUa1lUD7y94OlcIPdu+uJ82RyvyVmuzJSalhzCCPyLP9Tg3/ul8l7k/1eLjiSyrADC1PbH/Kq2/VNYY+riDa3rL7cXqeo0vD/EPwsT5cxaXWLeuf4y6n6YL+yJO9bup8sX2Pb+Sl7vC9T+3xltnHfavtH+1AOoKex08b8fD7VAftVf9yDek3LJlUGaKPHG1weKff4pfgjS++5dM9StOPV0TKvToCmQkCbXdJYYbbv/2IfCeVaTumZu8yQXQoSHEpTfssknFGzsxTk2vqfVrLQa3/KAvUzAHX/pniRLG4YZOKBWTgsL8mD9NpDovyduQhk7+8EN4DvP0cDmHJj97AfNIABKpQGkAbQZZvRANIA0gCmApppAG2LUANMAxjghcuo7a4ADWAASWkAaQBpAG2vCnsA2QOoRsf9QgcNYBcawKPaoQfwn+wBDGARsj4qDWCAKqIBpAGkAaQBxCOEQ8B2eJtDwNkzBDztyOAG8L3naQADWISsj0oDGKCKaABpAGkAaQBpAJPzTGkAaQADvFIZtZMVoAEMIDgNIA0gDSANIA0gDWA2LgKZdsTPAq8Cfu+Fa7kKOIBHyPaoNIABaogGkAaQBpAGkAaQBjAbDeA3Dg9uAN99kQYwgEXI+qg0gAGqSA3g+f8+TgpK8mS34hUeugAIhkzIAlyyJl7k4VOAQtBzzTwaH6LFn0UXIQJMiYvDQLoIirMoyIl46RXmNKagRfQ6wDy8Xj3WxFuypVwOqZhntkfkrzP5RMAK1+qo3R6Uv0mG51nMiTvhW7EQwFG4ZUf6CMBAKE4E5yqSpk9Oo1fEGbU7yxP3ftv8Ll0ak12ummu2Txr4XgrSQiP48S/pqrMqXmx2r4+WyIDwZpt2bp2H3LB5S37LVNMAzmZtAn2zJmoRL0CM9AvVJjSOeWiLDdE+oiiVoflVHgrCxV8AP6LoFeR7XbTUpDOzeoQML7LoiCkli7xy+vEvOA5tFWVjyhGyeBY3AA+icaF5urpAOqod8l2QG/HKhw0gigaGa6xWoTovT6gzaIAAHI9qCwSMavja2jGSe3kCGTSyVA68doY5/5C+c7y2qggTIGAU8QIEjKJCynJrDf4FAcc1bT/CBXeOqT+DcLE4EfPbqU/Fr+i5bho4V+8fFwHzZcMQufWlo0xaZfNzZPBJX9syVMyTykiJ2UY9K07ERYRkQsAA/4KA+07vA7fegIAB/gVhRaRcNiTwJEDADCmoNvvHFKzKeM9pubS+zTMo8SxxnxGod/2Nen501TST9pwlw+SY8Z+Y7YP6fu61jxWR/l6dV4Q3JRE7HpontY1p2n4dtN0CAeOhX3IjgucSQn1TvncPoT0qY9NFWaleKJe28XXRvrIqYjEwO+Svl7LQFrMNNMz/LtrHbG+pK5BTx75ntscXLveej8Blvbd5Z7O/IR6WfUoXmm2gbhTzotd06xjHFLW1qHGQh4wBAsYtt/tcR9vuzFXANIDu3cXtdArQAAZoFzSANIBqWGgAaQCT5sQaVzfAhNIA2j8gaQDnd+iwqr6XvnFYO/QAvtQxPYAbNmyQiy66SJ577jnJzc2V448/Xm6//XYpKbF/XKUL9fX1cvnll8sTTzwhDQ0Ncuihh8pdd90lgwcP9k5funSpnH/++fL666+btE499VT55S9/KeGw/cMK4Y033pDLLrtM5s6dK8OHD5drrrlGTjvtNO/4W2+9JbfccovMnDlTVq1aJU8//bQcc8wxKVnC+Q8//HDKPuTnpZdeCuAoOj8qDWAAzWkAaQBpAG3vKnsAk2B19gBaA8weQLsqWkNn9wDuc2hwAzjj5Y4xgIcffrgxV/fcc49EIhE5/fTTZcqUKfLYY49lfCPD2D3//PPy0EMPSb9+/eTCCy805vGdd94xcWKxmEyYMEGGDBliDBzSP+WUU+Tss8+Wm266yZyzePFiGT9+vJx33nly1llnyauvviqXXHKJSRcGDuHFF180aU6ePFmOO+64jAZwzZo18uCDD3r5LSgokP79LUi9uwQawAA1RQNIA0gDSAOIRwiHgNX0NXnDyzSAXWwAv31D4EUgM/7vunbvrZw3b57suuuu8uGHH8pee+1l3sDoOTviiCNk+fLlMmzYsK3eytXV1VJRUWEM4gknnGCOz58/X8aNGyfvvvuuTJs2zRi3o446SlauXOn1Cv7xj3+UK664QtatWyf5+flmG2Zvzpw53jVOPPFEqaqqStt7l5OTk9EAIs4//vGPAA6i66PSAAaoAxpAGkAaQBpAGkDOAdTPFmbTHMB9stQAPvDAA2Yod+PG5CfzotGoFBYWypNPPinHHnvsVm/l1157TQ4++GATp6zMzvdEGDFihOnBu/TSS+Xaa6+VZ599Vj7++GPvOHr8Ro0aJbNmzZKJEyfK/vvvL5MmTZLbbrvNOwe9eEgDJtMftmUAYf5gKtHrd9BBB8mNN94oAwYMCOAoOj8qDWAAzWkAaQBpAGkAaQBpALPSAH6rHXoAX7lOli1bJn372kVdCBjqxL+2BgzHYv7cggULUpIYNGiQ3HDDDWYOnz+g5w/DxJj754apU6fK9OnT5eabb5ZzzjlHlixZIi+//LJ3Sm1trfTp00deeOEFwbDz6NGjTTpXXXWVdw6OHXnkkYJzi4qS3yLHCZkMIOYhFhcXy8iRI+Wrr76Sq6++2sw5RG9kKGQXpnWHQAMYoJZoAGkAaQBpAGkAaQCz0QB+EwYwbFeetyVEo/XyzivXbRX1uuuuk+uvv36r/VdeeaUxYtsKGP596qmnur0B9Jdx0aJFstNOO8krr7xieiq7S6ABDFBTNIA0gDSANIA0gDSAPdkAtrQHEPPs1q+3eLBMAcOxjz76aLcfAk5XPsxRxDDwueeeG8BVdG5UGsAAeqsB/N1H+0hRSVhKQ/Xeqi+XwaWXALdK2VHYB/4fgsuKc1lm/qy5bDfwu+yLJ+6xvmpiyb/2inOTXeXuddw01by8v3ln+WSjnXh7YMWXMrpwldkGv0/5d9XRYikPW77W9vnrPS4YfitPzs2flgO8OeWTgfel10SZlfOFNMBdQ7j1r8fI0HcsF6zo6pVyyfD/M9uFOdEU3qGWw7u25HhcP2ii+zfFCwWcMAQwAJW/BuZaqhZJDqBy48C4A//Q6JzgqSG+lg1lAdICYWnDABmYZ7l5w/M2eIxDnKPlhz6aL9TV+9WjzPnl+Vtk79JFZrtPboPHN9P8ucwzcBk1f34GoNt2oDsCdHZ5j7ofx1ZFkivWSkL15vzNiTZUHt7s8Q7dNNCuwf9DqG0qkAX1Q802mIlzamwbWnXDzhKqt+eMvGWBnDTwXbONeC7/D/vA+NvSlG+Og2kJ/p85N8EA1HPcfKsu0FL3K5vQnC/2u7Qa9ByXA+gyFpVJBw7gsoidw/Pzt78jFTMsOiLve2vl+OGzzbZ7H4wpXOlpgWPpVv9qHpSnid/FOQ3euahLjYft1Qne5IZYiSxrsHnpH94i44uWm233HsL50B0hhY+Y0M6tN5yjZXbb098r95J3vtjJpPGtcfPlO+XJ+VOrE20f+RscTs6P0mu6Grvs0nQcQDz3NkQt4gN66zMJ5dG8L4uUe/cw2p/Hm8yJptSnKYvkSnXi3gPHcmhelTkHnEJoh/DIsmmyaoO9f783ZpZMLbH3GK4J5iDCR1tGSlXE3sPf6LtQBoTsPewGd4GP7kfbX9QwKFGeqIzIrzTbmRiAmufO5AB+8+Drg/cAvnp9hy0C+eijj8xKW4R//etfcthhhzW7COTxxx83yBgEDCGPHTt2q0UgWP2L4WSEe++9V370ox/J2rVrzbA1FoFgyPezzz7zqvikk04SYGnSIVwyDQH72wgWr+ywww5mUcjRRx+9VRvK1h00gAFqhgbQikcDSANIA0gDqI9SGkCrhIuA6QoDuO9BwQ3g26+1vwGEFpiPB4wKVukqBgYrghUDs2LFCjOU+sgjjwjm+SFgbiDMGzAwmJMIjiDCjBkWNK8YGKwi/vWvfy2rV6+Wk08+2eBe/BiYH/zgB3LGGWcIFpdcfPHFKRiYzZs3y8KFFgiOhSO33nqrmWdYXl5uTB6OY64ijCiQM5gD+OMf/1hqamqMsQwyPzKAHWlTVBrANslmI9EA0gCyB5A9gPoIYQ+gVYIGkAawudcqetzA8XNB0HfccYcHgv7666/NAgsAnQ888ECTnIKg0QvogqBhwjRgEQiMImDPWPwBEPSvfvWrrUDQWDX8+eefy/bbby8//elPU0DQiAvD5w9IC+azrq7OgKFnz55t8DEwnIcccoj8/Oc/T4FSN6dBNhzvsQawOZp3U1OTYDLrfffdZyrxm9/8ptx9992yyy67tLheaABpAGkAaQBpAFM/X0kDmCUGcHo79AC+3jE9gC1+yfLEDlWgxxrA5mjeWK2ET8RgOTr+0sBfAei+xV8F4BG1JNAA0gDSANIA0gDSAGbjHMD9Drwu8BzAf79xQ7vPAWzJu5XndI4CPdYAuvL5J3Ki9w/dtoBR/vCHPzSnAgKJbwqiixdk8JYEGkAaQBpAGkAaQBpAGsCWvDF5TrYp0CsNoDJ7MIaPbwdqOOCAA8xvfJQ6XcC8AxdECQOIj0lzFbBddclVwFwFjHbAVcBbPz24CpirgDv7W8D77d8OPYBvsQcw20xbe+anVxpArBrCnD98M3DoUNuDgfC9733PkL//8pe/pNUY8Eus/vGHe2ZNNhgYIC6AyUj2CFjUiBojoAd02z0XDwZdMebiFNzrIJ4iVICASc6zaZLauEUaAAvh4l+wD9fJdbAQmibSmlu3vfn5TuUomVy+zGxP7rNY4k3W0AFJURkpNdtA3Ohfue41XBSHV26Je3kFSkaRD5ouzisLbTE4CHudMrn6lf8w26OejErV5ZvN9o3j/iF9ciwSRsvraoJrx8TiW/xYF0WLAAGj+QViRCfq43yNm6pzrtTE7RQA5EvrBeVHQP1qOXDe4voKs78kDH0sA8tFW0BnrXPkF3ogfFgzUsKJ8n+z75cG/4LgtgU3X2ogsNq2X8iiUtyQDgFjdYl7mA1gVlRH4H0U59EvVOe1IeWZAcPhtkl3XpdiO4DBqG+yqJSV9f3lvTst0qF8drWEb7efeQLGR3Ee0D5dPSFfCKU59VKYm7x/gIhBAMZFV5q7iB/s97AyDvrHr41iYPQ6KLeHJsqNePdsVayPXP/JUSZ63xf7SO1Rm8z2GWPe9fA4xbmNMq5wRaKeLcbJ6Oxga9LVG9qA1nGm7wajva2L2vttVWOZd9/sUbRUtF5wzMXZaHvC/nT3ueYF7cptI69U7WYO/XPeeJk6aonZ/v6g9717Eu1DcUND8qq9dmPuuUS9JMueRCpZLJX9LjCC5g/3oe4vyIl4ZcM5KxM4ItxXaHcIuGf9q2ixX5+BNbEiWdpoMTkDwzWCT7AhADfz19VTzPbnK4fIUaPtN18P6Dvf07+xKSxz6u2zb1l9uYdgGhK2KBkN6fAv2oaWNA708rJjfmXqc1+S5df8apqdiYHZf79rAw8Bv/Xvn3EIOKVV9KwfNICtMICZegBpAFM/feNyDWkAaQBpAO0fgTSA1hjRAM7vUFOlU5P237cdDODbNIA9y/KllqZXGsC2DgH7G4LeaDSANIDsAWQPYLoXhfbc0gCyBxDto1N7AGkAe7J3a5ey9UoDqItAsAAEC0EQYOZAD2/LIhAaQBpAGkAaQBpA/TIRh4C1LXTpEPA3fxp8CPidn3dob2W7uBgm0mYFeqwBbI7mDQwMAJEuBubTTz9tEwaGBpAGkAaQBpAGkAYQbcCdu9iVBvCAfYIbwDdn0AC22V11g4g91gA2R/NWEDS+FQgQ9L777it33XWXjB49usXVxiFg+xk4/3daOQcw+X1TLgLhIhA8UDgEzCHgzh4CpgFs8au8157YYw1gZ9QoDSANIFcBcxWw6fXhKmDzyOUq4CzqAfzGNYGHgN9890YOAXeGmeiia9AABhCeBpAGkAaQBpAGkBiYFPxXlmBgDtw7uAF8430awAAWIeuj0gAGqCI1gA/MmijFpSHD4UrH8wObSoeBlMWFB4bOD0GcbfH/TFyHIYdhV2XoAbOiPDeXz+fx0Xw9E5q/hQ1D5PVKO9w9unStx8LCcWWRVUZLveuMLFjnYCziHpfNHf51576AeeifD4Nz+yZ4emDlqS5XzDpetr/PsuCWnB6T3+39V7MNbl8m/p/VJGcrrhz2g00HphoCECTlIcsWczl0fgagMs/A+QIDTYPy1/QBj3oAgwwBHDJlhY0sWJvCO3R1UYYd6umTzTuYuJtj+bJfvy9tOUNbvLbg1wy/oVODsvJy6z3em3su2k+6ujDw2UT7g5YbYiWJ6xcafhoCeIbg2yEMSGiVjmeJ47gGGGi2DIUe5+25x74pOzyz1uxfe2uu3DT2abNdnNOYwl5UXZWnBl6jsh41DzgHDEAtD/TTduBOOTCMy8TLVjX2Ks7Z0HRqm+x9iHtGmXlIQ1l1v134bYk+bbmOVQfUydkT3jbbLr9yfNFyKc6xzMa45Hj1714X7Uzbtt6bQMBoW3Hj4Vww8hBw362J2LaH8k/oY/l8Lr8S6YFjZ8rRlOflTcuD/XofGnUSTE/Upz5jPtg8Sp6YZ5mNo4euldOGzbB1ldvg5QVpKxcPzxrV12UAus+sdN//ha7a3pA+8C8IygXFNsqrbaEiXOMxO/0MQJeBiniLGyqkJPEsGZ63wbt/nl+/h7z39Y7mOtN3+lK+XTbXbJeG6jyuIZ59C2oHm/0TS5bKjvnr3Ooz2+kYgOAvft1o20dDPE9GJOK55cmUb71AZ64CpgHcqlq5w6cADWCAJkEDaA2BBhpA+4LDS5cGkAYQbYEG0P7BQQNoNehUAzj1J4GHgN/44BccAg7gEbI9Kg1ggBqiAaQBZA+g7bllD2DyQcIeQKsFewCTXy7pkh7AKe1gAD+kAQxgEbI+Kg1ggCqiAaQBpAGkAfQ/QmgAaQC1TXQlBuZAGsAAb/feEZUGMEA90wDSANIA0gDSACa/1e3/DjDnANrvqndFD+D0va4OPAT8+kc3cQg4gEfI9qg0gAFqiAaQBpAGkAaQBpAGUNtANi0CmT75quAGcOYvaQADeIRsj0oDGKCGaABpAGkAaQBpAGkAs9IATrpKwqHCNr/horF6eX0WDWCbBewGEWkAA1SSGsCHZu9pMDDuX39AJCheQjEHQJK4eA3voZGT5Ghhn4ta0DkkSEtRDMAy6OpC7G8J/kWvpZiJ/6vcVQYXWgzIfv0WeGgGICk2RvuY/UCjjCioNNtlodoUpTKt/sVJQMCkrgi2JgH5hAYIyP9vFx1itkN3DpSlR+SY7ZsOflK2C280234EjIeiEHuuiStWO2BdVJO1UXx1wO4fEKrxUDZuART7ovu0joCA0WMosyIetE6A91iawKDgesDjaNkUueFfAaz5+qJuiKxpsMiPvfst8jAb7jyhdCupa+P5ojgaP+5Dy+mvDxeboTpWx4oF/xD6h7cYlAUC2iQQHLrt6mQ0dhAzQMBsjNj2kZcbkz/96wCzPfr+SvniOrv/til/kb659V56WkfYoTpvitsXE/AoioFxr4vypEO7APGjCCQ3XT8SyMX86DX1foyYNKLmcth+dNU0s730b6Okag/bPs/c+23Jy02cEw/LuKIVZj+QLMC4IKRDhWgZ9Zoon9FKgFJJtluNWxUv9tArlZFSQV0j7FG8TCpCm8w2hlW1TQJF4pbDbQ/+enPxNSjvgoah5pSH50+TQf1sfZ+5wzseJqkqViw1cYs4qghv8u5V1EMm/Ite071Xtd7WR0u8exL3kd77yPOGqF0dDARReWiL1xZcpIpe00VgLW4YZPXMjcqI/PVekd/etIvZ/r+vxspew5ea7SMGfCoDwhYBBf2WRQaY7TlbtpNdi1ea7VEFa1OwOXr/oX60vvReWhnpL9AIYUR+pYfFMnXksP80U/75f8gDVgGfOOHzDu1V0/fSdBpA/y3B3z4FaAADNAkaQCue/+FHA5hE4+BlSAOY/AOHBtDeMzSANIB9+9o/Bts76HvpoIlXBu4BfG32rzrUrLZ32Zle6xSgAWydXiln0wDSALIHkD2A/kcITC57AEXYA5i6AKSzewAPmgADaOHnbQnRWIO89jENYFu06y5xaAAD1BQNIA0gDSANIA1g6nQNDgHbFtHVQ8A0gAFe7r0kKg1ggIqmAaQBpAGkAaQBpAHMxjmAB+15RfAewE9u5hBwAI+Q7VFpAAPUEA0gDSANIA0gDSANYFYawN3bwQB+RgMYwCJkfVQawABVRANIA0gDSANIA0gDSAMY4EXKqF2mAA1gAOlpAGkAaQBpAGkAaQCz0QAePP7HgYeAX53zaw4BB/AI2R6VBjBADW3LAIIvpisBlVvmZwCme2j4Jw+7zC9lZAErovuxTxlc4LXpNVwGmLLCwN56Y+MYU+L83JgcULbAbJeG6jw+3LpoqUTiYbN/+/wNUpZgdClvDvtd5hx+azmAf9GQ3JfncdsKcxq944+vmSZf32fZXRt2F/nJUU+Z7V3yVyfTcPhnhkXmcNTsdZu8fVhhty5msQrghym3UNljmqjLYtN9jU1hj8WGOivNrTOHkIZOaFe9l0XKZXPMMux2yF9vtEOA3qqLy69DvpY2Wv7Y4tqBMqnvErM9PG/9VpPEVUvVUZlwxbmNKfxIt93oRHNcX+se+2rjdvUf2oZuV0ZLDf8PAW1I0ykPbxG3brwKSGwgveWJMqyJ9BXkB+GB2fvI6N/b7QXnFsrvDnzcbFeEagy7TusoqXNIapqsduDiISgvENuoX5d35+ZDUTombo6Nmym4jEfUt+qZwmdssis0X9o4Xt5/Zg+zXTs0Lqcd8JbZ7heqk5pEPY8pXOWx8pBeJv4fGH0IYEVqu8tP8Ab9rMdNCd4euJvVMcveq44Wy7giy6cDh081wm9ttyiL//7z64BnjwZtE2DYPbzI8g7zQzE5a+TbZntwuNpj/4FxNyBkuXlgdnrczSaHu+ljlup19BmEeqqKWR4ktvWZhTrTvIBFqTw93GPKuMTxdM8Z3HvLI+UmTX2u7ZBf6Z37ae1weear3c3xsYPWyjGDZpvt8kRZsA2dP9ky3OzfsXC9jCm0OuMe0LrJ9BUPxG2m8AcAACAASURBVLVplMqwvCqzrc8Ik0airfvrwc8ahZ7gAJ40YU6Hmip9Lx2824+CG8C5t3RoXv2a8XfnKkADGEBvGkArHg0gDSANoAgNoDV9NID2uUgDGODlyqidogANYACZaQBpANkDyB5AfYTQANIAuq+TLjeAu/4weA/g579hD2AAj5DtUWkAA9QQDSANIA0gDSANYHIOIHsAky+ULjeA4y4PbgDn/ZYGMIBHyPaoNIABaogGkAaQBpAGkAaQBjDda6TLDeCYdjCAC2gAA1iErI9KAxigimgAaQBpAGkAaQBpAGkAA7xIGbXLFKABDCA9DSANIA0gDSANIA1gNhrAb42+LPAQ8Ctf3Moh4AAeIduj0gAGqCEaQBpAGkAaQBpAGsCsNIC7XBrcAH75OxrAAB4h26PSAAaoIb8BRFLKqQJPTtlY+QlumfL4tnVJl98H3pcyvcDIcpl0LltQ2Vku08q9hvLkPqrZURoSjL9pfRd5rLyaeKHH5WqI58ngvGoTvV+o1kO8uBwzP2NQ8wj+HgLKqwxEaKDlx7EZNTubc15+Zqo0ljWZ7f857AXZvXCZ2Qbbzw3K/vPPp9FzlI8Grpqy+sAWU/6ay2zzMwDB/0OoiReJy9zrk9tg9iPvyp9bHS0z+yojpZ4+paF6L6soe5KbhphWC7AXF9UNNNs7F6+VEfmVXpx0rEZoqXkpyImYc8FS03PRhhS7gzpx92vC0EHzgvwjDwhgu+UmOG7xphxTv5p+iuiJH5o2+GerGm3583Jj8vyy3WxdPTpAVh9oeX83Tf+bDAlbRhrqMMmmjHs4DDAANe/FCSaky1BDHbsMRc2Ty73LxFzz59/lCWr71HTw++MtO5goT741TZrybZs78RvvGfYlAu6J7fPs9oCwZeNpyAT9Bf8PAe3dz/x046N+NsRsnSDOxqjl5oErOSTBmfMzAPX+Q1z3XtR0UVe6X+9DPBeUZfjU6olSF80zp39vu5kyPFFOpLc+kRfcN9r2NQ2cj3TTldll9un5uJfSMUqhieoDDqD+4QSmZDoGJa6p9bYm0k/qE/fq4PAmUwbou7TR3lf/XDFehpXY/YcP/EwqwjWe3MobnFc3TAbm2f27FKxJMjObctNy/NB+UBYEtH8EpOvy/1IaRYYfbntG+wMH8LSJn3SoqdL30rdoAFtSRb36HBrAANVPAygCQ0IDaOHTNIA0gDSANIDuK6VLDeBOlwTvAfzqtg41qwFev4zaDgrQAAYQkQaQBlCbDw0gewDZA2h709kDmHypdKkBHPU/wQ3gottpAAN4hGyPSgMYoIZoAGkAaQA5BKzDpDSANID+1wkNYIAXLKN2uAI0gAEkpgGkAaQBpAGkAbRTIBDYA5j6QulaA3ixhHPtvNS2hGi8QV5ZdAd7ANsiXjeJQwMYoKJoAGkAaQBpAGkAaQAzvUa61ACOvCi4AVz8exrAAB4h26PSAAaoIRpAGkAaQBpAGkAaQBrAAC9SRu0yBWgAA0ivBvC+WZOluDSUshIUySqqpSWXcLEL7mpSxV5YRIYdZvGnrcgN7PdjNIABWd5YbuJsjhXKqMK1Zhs4A129C+yIbgPPADQDgot+SIeeMC8+Z/Wr5sPNAzTQsq2K9JcH5n/DpB2L5cqle7xqtnfJX52CYnCRL1rmTNfXeVfIv+IkMunu10bjYtK6YjuAXHExK7UJtIfiJApzIganosGtq+S+HG8iPBAW5eEt5pDiddK1B9UI5dA6T1cOF/WDOC6KQ5E1rn7AmWg6blzgPtz03TJrvWrZN8T6eHieL2oHyysfjDdF6LPdZrl2t+fN9pBwtSiyx4/yUYSH227dc9KhflDvbp3787ete8rFyUAjTUfb+MpImfzl68kmifpInpy400yzPTSvysMXAYnSEuSH1j8QH5pHt07cfKYbJoXG5QnMDK7p3stuG9O4LvrH1ce9DzUe2sOszSPMz42NxbJf/y/NdkV4k4cPwj3gtn3vmk25KRKnQ1i5GCPFPuGail5CuqoF9ifnSEZFEUcuIsq9IPRUDAvQVIqN0TaL+3HWJlu2olCjTC1dbLZxntZDfVO+oK4RcN8Oy9totjPVj7Z70y6a8j2Ejt7visjZZtuTVN38WK+6zVE5d9LMDu1V8zAwIy4M3gO45M4Ozeu2tOSxjleABjCAxjSANIA0gDSAeITQAFrGIA1gFhnAHS4IbgCX3kUDGMAjZHtUGsAANUQDSANIA0gDSAOIHjMaQNODmE09gMPPD24Al91NAxjAI2R7VBrAADVEA0gDSANIA0gDSAOorxEawAAvVEbtdAVoAANITgNIA0gDSANIA0gDmJUGcLvzgvcArvgjewADeIRsj0oDGKCGaABpAGkAaQBpAGkAs9IADjs3uAFceQ8NYACPkO1RaQAD1BANIA0gDSANIA0gDSANYIAXKaN2mQI0gAGkpwGkAaQBpAGkAaQBzEoDOBQ9gPltfsNF443yyir2ALZZwG4QkQYwQCWpAbx71hQpKgmLy19TlltLknfj4XyX96dMLXcfztH9/vT959XEikQ5bP1CdYaHpcHjxkmu5OdEzW5wtrbFFWxpedzy68fh52zZXjZFC00S+5V9IcPz1pttlMXNdyrfzGIV/Aw/7AP7TNlu4JS53EI3n+kYguBzAd2BAC5YuriIp3nX9FCudJzClOs15XqrIqGn8sP8jDe3TM21nebqxN+GtG5t+Sys2W032NccP9ItuzIBP6zaUfrl15m0Du3/mQwIbd6qSTSnjz9CuvpxWX7NlV3bgqbrsvLMscTKzJqYbXvz64ZKTaId7l6yXCrCNWY/2pNy6cCDTBdcXqebttFZkjqnK5O2Vbfd4jrKr0Q7dNNvrt1maj96L22Ilngsu+3zN0hpqN62d4l7bR+/XRZfJt5mavtO8kixH/lI135Rb5pHPx4mrbjOTmilK4vxbPI/B8HX1AB+o8vo0zKAb6rxcDwdy9DNB54JSWYkeIa2PjOxCpvTKh3bFRzA8yd92KHDqh4HcMg5wQ3g6ns7NK/NtQMe71gFaAAD6EsDmF48vAxoAC0WgwYw1SykNVU+dIY1Y3j9WvNPA5hUzf3DhQbQ6kIDmHpX0QAGeKn3sqg0gAEqnAaQBtDf46rmRXsvaABpAPUuYQ9gU+KPIjvasK3AHsDmFMp83DOAg84K3gO49n72ALa9KrI+Jg1ggCqiAaQBpAHkELDeBRwCtkpo7z+HgJN//GhvbacOAVecGdwArvtfGsAAHiHbo9IABqghGkAaQBpAGkAaQM4BTPck7PI5gDSAAd7uvSMqDWCAeqYBpAGkAaQBpAGkAcxKAzjwjOA9gJUPsAcwgEfI9qg0gAFqiAaQBpAGkAaQBpAGMCsNYPnpwQ3ghgdpAAN4hGyPSgMYoIbUAN45c2+DgWlNSGccWhM/07l+HIg7JwfbmfAxmbA16dJrbT61rLi24jWAZVD8BdJrbErql7q6MTmPZlvf2XTz1ByeAef6cR7NlSkT7y9TPFfnliCBVOd057ZHHfjz6cfZ+I+nQxHhnLycqIfcsHVoJ/THJMdDgSBuJrSLXicT1kePZ6pDrIJN+7J1VhL769ZFkWhcLM6x5YllxLA016Zakpfm2pU7bxCYEk0zU/lRtta0RW2HqDdgZrZlVPwYmnTnZlp57J7bkvbenC4tafN6HdRhc/Mv/ZinbenbXN621YZT2kyatoo5gBdOfr9DTZW+lw7uf2pgA/jqxoc7NK8t1ZrndYwCNIABdKUBbJl4NIBJPlwmxWgAU005DWAGo0sD6N1CNIDpnyY0gC17L/EsERrAAK2ABrBl4tEA0gCaXkKnR4Q9gPbeYQ9g+mcIewBb9mxNd5ZnAMtOkXBOgC+BNDXKq1WPsAew7VWR9TFpAANUEQ1gy8SjAaQBpAFMf6/QANIAtuwp2vKzPAPY7+TgBrD6TzSALZe+251JAxigymgAWyYeDSANIA0gDWDLnhb2LPYAtkat1HNpANuuXW+LSQMYoMZpAFsmHg0gDSANIA1gy54WNICt0WmbQ8Cl/xW8B7Dmz+wBDFohWRyfBjBA5dAAtkw8GkAaQBpAGsCWPS1oAFuj0zYNYMlJwQ3g5sdoAINWSBbHpwEMUDk0gC0TjwaQBpAGkAawZU8LGsDW6EQDGFSt3h2fBjBA/ftB0O5LrjnOX6Y5Li7+ws+uSpfV5phb4ICBAYYAzpfL3tOP07vpgkWmAUyyxqaQ+elftan5N8w3H+8qU54KciIyIGzBwRWhzVKR22C2a5tyZV2sj9mubwqnZQLWx/O8vLj51mshD5FEXuub8jyemlset5woG9h1Rhdp8uJiH34jlITqJT+hXTqemstkS9FQkhpCc61HP+dNeXWZtPXqIZFPf/2jzOnai6s/8t1WxqP7Tdf8BDevLLTF1B3CkFBUBuQWmu318XpZH7fokpp4vqAONGj7qIkXitbdlnhBol0lOY9gQWod1sbzvXpQZp+5vxwtUId6vlv/2Ke8yX6hOq/95yY4eOAXlifKMCC0WQbk1nt53dRkV03Wx8MSEdv2kbbez/VN+V47RJtMaVMJFiGur8e0fvz3ssshdJ8VGs9twwW5EcMrtG3VbVvb/sPCvfehB8qtwc2fyzPU/KIMzc3D03y7DE/kr7lnkquZ24b9cfWeQ3qoATe4zzKUrTAnYg4b7RN1iPtLy4P2q2lAW22HmcrZ3HPNzXfcuQ7KoNd0nzGoP/wDB/CHe73dob1q+l46qPjEwD2Ar9U+0aF59T/T+LtzFaABDKA3DSCMIQ2gvwm5LysawOSEfhrAZEuhAbRa0AAGeAFliOoZwKLvBzeAdX+hAWz/KsqaFGkAA1QFDSANYDqeHQ0gewDZA9iyBysNYMt0as1ZNICtUat3n0sDGKD+aQBpAGkAOQSsjxD3k3M0gC17sNIAtkyn1pzlGcCC7wXvAWz4K3sAWyN+NzuXBjBAhdEA0gDSANIA0gAmv+PNOYBZNAcw/z8knJM6T7U1r7toU0Rea3yyQwzghg0b5KKLLpLnnntOcnNz5fjjj5fbb79dSkpKMmaxvr5eLr/8cnniiSekoaFBDj30ULnrrrtk8ODBXpylS5fK+eefL6+//rpJ69RTT5Vf/vKXEg4n2+gbb7whl112mcydO1eGDx8u11xzjZx22mleGjj/qaeekvnz50tRUZHss88+cvPNN8uYMWO8c1qSl9Zo3VXn0gAGUJ4GkAaQBpAGkAaQBtBd7JMti0Cmh08IbABfj/6tQwzg4YcfLqtWrZJ77rlHIpGInH766TJlyhR57LHHMr6RYeyef/55eeihh6Rfv35y4YUXGvP4zjvv2PmksZhMmDBBhgwZIrfccotJ/5RTTpGzzz5bbrrpJnPO4sWLZfz48XLeeefJWWedJa+++qpccsklJl0YSoTDDjtMTjzxRJOfaDQqV199tcyZM0c+//xz6dPHLlZsLi8BbEWnRqUBDCA3DSANIA0gDSANIA0gDWDLX6Tz5s2TXXfdVT788EPZa6+9TMSXXnpJjjjiCFm+fLkMGzZsq8Sqq6uloqLCGMQTTjjBHEcP3bhx4+Tdd9+VadOmyYsvvihHHXWUrFy50usV/OMf/yhXXHGFrFu3TvLz8802zB4MnQaYvaqqKpOHdAFxBw0aJG+++absv//+xhA3l5eWq9G1Z9IABtA/nQFMl5yLTAlwOVEsQmvTcHEeGherUzUAl+D+dve713LNTksREYjv4hwU12DRDY0meayIVCwIEA2KusBDNR2qRvPkIhwyYXdcPIhfN8WCKOoFx93zcVzz4mE4fEiKdAbQvY5/QUgm9Mu26rQ5rRE3U/ndNtNaHEwqTsZiOFycSJ7EPLQI0Dmb4tYMmjpM4IRQf4oScsuYDsORbkW5qRPTDiySBcFtH0nETrI9A8uh6QO940eo4LciUYBIUmQMyqPoF8TXukMdezgkH/LIxSSlqye3Xvy4lOS9aLV1kT1Iy0XpaDn9iJ/mngUuAsrVTw2L/97X9mnblMX66H3R3LX0eHMILD+ayK1bTSNTu/XfT9oeFPcEnbTuUUYXm+Mik5orJ8qQ7nmrZWvJPalt19UdGJhL95rRIb1qeh19L00PHRe8BzD2lCxbtkz69u3rVX9BQYHgX1vDAw88YIZyN27c6CWBnrbCwkJ58skn5dhjj90q6ddee00OPvhgE6esrMw7PmLECNODd+mll8q1114rzz77rHz88cfecfT4jRo1SmbNmiUTJ040Bm7SpEly2223eec8+OCDJg0Yu3Rh4cKFsssuu8hnn31meg9bkpe2atPZ8WgAAyhOA5hZPPclQANodYLJpgG0WtAAbs3zowFMPk9oANv+YtL30oE5xwY2gG80Pb1VRq677jq5/vrr25xBDMc+/PDDsmDBgpQ00Mt2ww03mOFVf0DPH4aJMffPDVOnTpXp06ebOXrnnHOOLFmyRF5++WXvlNraWjNs+8ILLwiGnUePHm3Sueqqq7xzcOzII48UnIs5f26Ix+Ny9NFHmx7Ct99+2xxqSV7aLE4nR6QBDCA4DSANIHsA7QOZPYC5acHJ7AHc+hnBHsDO6QFsLwPY0h7AK6+80hixbQUM/2KBRXcxgDCjGFqG+dt+++1pAAP4pR4XFV3G6I6+9a1JUlSSHKLyFzQbh4CTgzsY6sHw09bB/52B1gwJZeoBLBD7VRIMuxU4Q8C1iS9DtGYIOCrJl253GAKGxqppc8bRrY2WDDd11hBwQU7UGz4NmyFgO4xvDaAdFmpoxRCwvw7TlRVDd1FnCNgdmtVtHc7H9TEEHG2y89IwNBj2fUUDQ8DFXttLDgGjPNHE1z9aOgQcSdw5qM9sHgJ27++Ur1X47n33nm/N/Z7Sa5LhyzV6TnsZQC0TytPaIeDmytlRQ8D1m6Ny1YEfmB4lLGToiKAdE/vKERKWAKuAJSJvywstHq7GXLn169dvs0gYjn300Ue7xRAwFpk888wz8tZbb8nIkSO9cnEIuCNabTdMExNWsYycgQpQASpABahASxVAr5r2KLU0TkvPA6IEhmX16tUtjZLxPKyoxTw6zM9rr6CLQD766COZPHmySfZf//qXWX3b3CKQxx9/3CBjEDCEPHbs2K0WgWD1L4aTEe6991750Y9+JGvXrjXzFrEIBEO+mM+n4aSTThJgaXQRSFNTk0HUPP300wJkDOb/uUEXgWwrL+2lVUenwyHgAApjfgBWHJWWlkpOTvKbpgGSbDYq/rqD6fR3yzcbsZeeQL1aX/HUrHWaUS/q1VIFYC5qamrMSlcgTDoqwAQ2Ntre+SABK2fb0/xpXjAfb82aNYJVuoqBwYpgxcCsWLHCLPp45JFHBPP8EDAcC/MGDAwWpcCkIcyYMcP8rxgYaPvrX//aGOCTTz7Z4F78GJgf/OAHcsYZZ5gFHRdffHEKBuaCCy4w+UDvn8v+Q4+tzhFsLi9BNO/MuDSAnal2O1xLu/fxV4i7Mqsdku6RSVCv1lcrNWudZtSLerVOAZ6NHjcMsbog6DvuuMMDQX/99demFxNA5wMPPNAIpvBl9Ly5IGj0UmrAIhCYM/TcYfEHQNC/+tWvtgJBY9UwuH7ohf3pT3+aAoLO1JmD1cIKjG5JXrpDLdMAdodacvLIl03rKox6tU4vnE3NWqcZ9aJerVOAZ1OB7FCABjA76qHFueDLpsVSmROpV+v0ombUq/UKtC4G78nW6cWzqUBHKUAD2FHKdlC66PrGtwrBMQoC4+yg7GVdstSr9VVCzVqnGfWiXq1TgGdTgexQgAYwO+qBuaACVIAKUAEqQAWoQKcpQAPYaVLzQlSAClABKkAFqAAVyA4FaACzox6YCypABagAFaACVIAKdJoCNICdJjUvRAWoABWgAlSAClCB7FCABjA76oG5oAJUgApQASpABahApylAA9hpUicvhG8L3nLLLTJz5kzBZ2vwyZljjjkmJSf4XA4+W/Pmm29KNBqVXXfdVf7+97/LDjvsYM4DHBPH3HDuuecasrqGpUuXGigmYJolJSUGiokVxOGw/U5qdwnN6ZUJ3AkaPD4DhADwKMjxLnj09ttv98CjOOfTTz8VEOI//PBDqaioMOf/+Mc/7i4ypeSzPTTbcccdBWBVN6D94KPvGnqKZs3ptXnzZlPuf/zjH+Z7p4DU4gsC5513nqeFwmGfeOKJFFDt4MGDe9092RK9etMzrFs+RJjpHq8ADWAXVPGLL74o77zzjvkO4nHHHbeVAfzqq6/M52/OPPNM+c///E/zxY+5c+fKtGnTvG8c4uE5evRo+dnPfuaVoLi42Ps6iH4WB5R0mE0YzVNOOUXOPvts77M4XVD0Nl2yOb3837zE+dBu4cKFgo+PI+DTQ9Dgnnvu8T49NGXKFO/TQ2CTQc9vfetbBrGDb0XiU0G33XabnHPOOW3Kd1dGag/NYAChI9qMBnz2EIR9hJ6kWXN6oQ3gs1H333+/QBd8uxSfjHrqqafk6KOPNnrgj63nn3/efKoKn43Clw7wuS/c6wi96Z5siV696RnWlc8CXpsKZFKABrCL2wZ6r/w9gCeeeKLk5eXJn/70p4y5w8NzwoQJxqCkC3ihHXXUUeZbxdoDgd5B9CquW7dO8I3H7hjS6eUvB3pT8b3NV1991RzSj4+jZw/fm0TAh7+POOII7+Pjd999t/zkJz8x349UbbTHZ/78+d1RKi/PbdEMkWF0LrnkEvMvXeipmqXTa/z48fL973/ffDZKA/6Awx8WN954o+gH4vEN0RNOOMGcgnYzbty4rT5W3xvuyeb0gj699RnWrR8mzHyPUoAGsIur0/+yicfjpvcAQ49vv/22zJ492ww3oVfKHSbGwxO9gvi4OHr5vvOd75iXE3oBEa699lp59tln5eOPP/ZKuHjxYtMjNmvWLJk4cWIXl7xtl2/OzOAD4/i+48MPPywnnXSSucgDDzwgl19+uWzcuNG7KIbV8ZHzJ598Uo499ljTO4oeLQzxacDQ+UEHHWSGj/v379+2DGdBrLZopgYQw5r4WDumHkBPfENTpxD0VM3S6YUeLdyLaB/42Dy+NYqeP/T47b///qZ3EB+vRxsrKyvzan3EiBHGQEO33nRPNqeXGsDe+AzLgkcCs0AFjAI0gF3cEPwvG/RADR061Bg59CxMnz7d9FZdffXVZi7fAQccYHJ87733Cl4ueBlhHhZ69jBsjCEpBDyAMX/r5Zdf9kpYW1trhu9eeOEF03PRHUNzZgbz/vDxb/SywOAh3HTTTcYQLliwIKXIgwYNkhtuuMEM3R1yyCHGaGOIWAM+Fr7bbruZj4ajJ6e7hrZohrLeeuutMmnSJCkvL5cZM2aYP0JOP/10sx+hp2qWTi987QP31COPPGIMMIZ277vvPvOHAwJ6/qANznMD7kncwzfffHOvuieb06s3P8O663OE+e55CtAAdnGd+l82MC7bbbedmfuHl4oG9DbAvD3++ONpc6w9EJj3ttNOO/Wql40ryNixY+Xb3/62/P73v/d20wBuPc2gOc3SNTL0pGKhESb44zOEvckA/uY3vzGGD//jDy8sGoEhxvQNzBulAUxdyNacXunaV295hnXxK4eXpwKeAjSAXdwY/AawsbHRGL3rrrtOrrnmGi936OHDkLBOKPdne8uWLWZFK3oLDz300F413KRa/Pvf/zbDcRj23nPPPT2JOASc2QBm0izdbYHhOsztwty2MWPG9Nhhc/89WVdXZ6ZlwOwdeeSRnjRnnXWWmUOKe45DwEkD2BK90rWv3vIM6+JXDi9PBWgAs6UNpBtu2meffUwvnrsIBPPUioqKUnoF3TLAGO67777yySefyB577CG6CAQrXzHUqUMuwKKsXbvW9OB0x7Ct4czTTjtN5syZIx999FFK0XQRCPZj4j4CVnEedthhWy0CwRxCLMBBwLA7htR78iKQTJqlaxt//vOfjemrrKw0cyJ1EUhP08zfxjA3FAbQP3UCvaGYV4u2pItA0EN//PHHG/kw5QA90u+++65Zwd9b7smW6JWuffWWZ1h3fO4yzz1TAfYAdkG9YggNQ7UIWIyBOVWYJ4S5Vphsj54GrDj8wx/+4M0BxERyTDyHyQMmBkNOWMU6YMAAMwcQk8yx+EHZgIqcwBxBzIvD3MKTTz5Z0GuBIdHuFJrTC2XBSwdzJ3/729+msNm0nJjzCKOCldBY1ID5WlgRrMPseIGjVwvDmuhthZEEBuZ3v/tdt8TABNUMpuX999837Q/oF/xGG4OOmE+J0JM0a04vLLqC8b3zzjvNEDDuM8wdxb2L/xHwP0wiMDBAN4EjiYD5kwi96Z5sTq/e9gzrTs9b5rX3KEAD2AV1DSOHF6s/ANSMlwcChi0B3cUQE4wJFit897vfNceWLVsm//3f/21MCoZNhg8fblayYsgYLx4NWASClxKuh2FlpI8FEt0NBN0SvbAoBiYZPZ7orfEHrOQFl80FQd9xxx0ZQdADBw40L3CYwe4YgmqGleLg3KH3ExP6sUAGf0BcdtllKb3HLgi6O2vWnF74Awpz/tDbh7YEE4hFITDFCiJXEDR6AaEZpmLcddddZpV+b7snm9Ortz3DuuMzhHnu+QrQAPb8OmYJqQAVoAJUgApQASqQogANIBsEFaACVIAKUAEqQAV6mQI0gL2swllcKkAFqAAVoAJUgArQALINUAEqQAWoABWgAlSglylAA9jLKpzFpQJUgApQASpABagADSDbABWgAlSAClABKkAFepkCNIC9rMJZXCpABagAFaACVIAK0ACyDVABKkAFqAAVoAJUoJcpQAPYyyqcxaUCVIAKUAEqQAWoAA0g2wAVoAJUgApQASpABXqZAjSAvazCWVwqQAWoABWgAlSACtAAsg1QASpABagAFaACVKCXKUAD2MsqnMWlAlSAClABKkAFqAANINsAFaACVIAKUAEqQAV6mQI0gL2swllcKkAFqAAVoAJUgArQctN27QAAATtJREFUALINUAEqQAWoABWgAlSglylAA9jLKpzFpQJUgApQASpABagADSDbABWgAlSAClABKkAFepkCNIC9rMJZXCpABagAFaACVIAK0ACyDVABKkAFqAAVoAJUoJcpQAPYyyqcxaUCVIAKUAEqQAWoAA0g2wAVoAJUgApQASpABXqZAjSAvazCWVwqQAWoABWgAlSACtAAsg1QASpABagAFaACVKCXKUAD2MsqnMWlAlSAClABKkAFqAANINsAFaACVIAKUAEqQAV6mQI0gL2swllcKkAFqAAVoAJUgArQALINUAEqQAWoABWgAlSglylAA9jLKpzFpQJUgApQASpABagADSDbABWgAlSAClABKkAFepkCNIC9rMJZXCpABagAFaACVIAK0ACyDVABKkAFqAAVoAJUoJcp8P+vdHSy2/WKdAAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1522a477ea60>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.pcolormesh(model_seq[:, 8, :])\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8be7b259",
   "metadata": {},
   "source": [
    "# Compute chi2 terms for different kp and v_sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "7c61873c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def calc_chi2_terms(model, idx_ord=None, axis=None):\n",
    "    \"\"\"Compute the model dependent terms of the chi2.\"\"\"\n",
    "    \n",
    "    # Get values from global variables if not provided.\n",
    "    if idx_ord is None:\n",
    "        idx_ord = idx_orders\n",
    "        \n",
    "    if axis is None:\n",
    "        axis = axis_sum\n",
    "        \n",
    "    # Get the index of the shared arrays and the arrays themselves.\n",
    "    idx_list = get_shared_array_index('flux', 'noise')\n",
    "    flux, noise = shared_arrays[idx_list]\n",
    "    \n",
    "    # Divide model by the uncertainty\n",
    "    # NOTE: flux is already divided by the uncertainty.\n",
    "    model = model[:, idx_ord] / noise[:, idx_ord]\n",
    "\n",
    "    # Compute each terms of the chi2\n",
    "    f_x_g = np.ma.sum(model * flux[:, idx_ord], axis=axis) \n",
    "    s2g = np.ma.sum(model**2, axis=axis)\n",
    "\n",
    "    return f_x_g, s2g\n",
    "    \n",
    "def get_chi2_detailed(theta):\n",
    "    \"\"\"Return the model dependent terms of the chi2 for each exposure and each order.\"\"\"\n",
    "    v_sys, kp = theta\n",
    "\n",
    "    # --- Computing the logL for all sequences\n",
    "    # We need from data_tr: RV_const, t_start, wave, sep, pca, params.\n",
    "    idx_list = get_shared_array_index('RV_const', 't_start', 'wave', 'sep', 'params')\n",
    "    rv_const, t_start, wave, sep, params = shared_arrays[idx_list]\n",
    "    \n",
    "    vrp_orb = rv_theo_t(kp, t_start * u.d, planet.mid_tr,\n",
    "                        planet.period, plnt=True).value\n",
    "    \n",
    "    \n",
    "    # Get the model sequence.\n",
    "    n_pc = int(params[5])\n",
    "    velocities = v_sys + vrp_orb - vrp_orb * Kp_scale + rv_const\n",
    "    model_seq = corr.gen_model_sequence_noinj(velocities,\n",
    "                                              data_wave=wave,\n",
    "                                              data_sep=sep,\n",
    "                                              data_pca=pca,\n",
    "                                              data_npc=n_pc,\n",
    "                                              planet=planet,\n",
    "                                              model_wave=wv_high[20:-20],\n",
    "                                              model_spec=model_high[20:-20],\n",
    "                                              kind_trans=kind_trans,\n",
    "                                              alpha=data_info['trall_alpha_frac']\n",
    "                                              )\n",
    "\n",
    "    # Calculate the log likelihood.\n",
    "    chi2_terms = calc_chi2_terms(model_seq)\n",
    "    \n",
    "    return chi2_terms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "d8447aff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(masked_array(\n",
       "   data=[[-0.004030422243088888, -0.0029446338852057176,\n",
       "          -0.0012776551532779515, ..., --, --, --],\n",
       "         [-0.031901327133329785, -0.009241084194674721,\n",
       "          -0.0042194824501566855, ..., --, --, --],\n",
       "         [0.029168787153763608, -0.019491533369457126,\n",
       "          -0.002333344021215358, ..., --, --, --],\n",
       "         ...,\n",
       "         [-0.0730837058649059, 0.03309001783179515, -0.05131005540631715,\n",
       "          ..., --, --, --],\n",
       "         [-0.0019048248336082322, -0.004095968705317348,\n",
       "          0.0006177351610950326, ..., --, --, --],\n",
       "         [0.023791693895656153, 0.003174307501119973,\n",
       "          -0.025624607944305024, ..., --, --, --]],\n",
       "   mask=[[False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         ...,\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True]],\n",
       "   fill_value=1e+20),\n",
       " masked_array(\n",
       "   data=[[0.0003244252132161809, 0.0006386412481761744,\n",
       "          0.0003973117644225729, ..., --, --, --],\n",
       "         [0.001605271616747261, 0.0031739388728150102,\n",
       "          0.0020189134704348905, ..., --, --, --],\n",
       "         [0.0006425626091733441, 0.0013511808340482883,\n",
       "          0.0007674756725688232, ..., --, --, --],\n",
       "         ...,\n",
       "         [0.001103607867707261, 0.002479879831918427,\n",
       "          0.0013963678619834717, ..., --, --, --],\n",
       "         [0.00028848968387799705, 0.0005869076123125485,\n",
       "          0.0003509408147281704, ..., --, --, --],\n",
       "         [0.0012809177193664537, 0.002834581278379616,\n",
       "          0.0015816842500029236, ..., --, --, --]],\n",
       "   mask=[[False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         ...,\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True],\n",
       "         [False, False, False, ...,  True,  True,  True]],\n",
       "   fill_value=1e+20))"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_chi2_detailed(np.array([ 0, 130]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "a7cc7dae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Preparing the map with pool of 2 processes...\n"
     ]
    }
   ],
   "source": [
    "kp, vsys = np.meshgrid(np.linspace(40., 220., 20),\n",
    "                     np.linspace(-40., 30., 40))\n",
    "\n",
    "n_process = 2\n",
    "print(f\"Preparing the map with pool of {n_process} processes...\")\n",
    "with Pool(n_process) as pool:\n",
    "    outputs = pool.map(get_chi2_detailed, np.array([np.ravel(vsys), np.ravel(kp)]).T)\n",
    "outputs = np.array(outputs)\n",
    "data_shape = outputs.shape[2:]\n",
    "cross_terms, squared_terms = [np.reshape(outputs[:, idx], (*kp.shape, *data_shape))\n",
    "                              for idx in range(2)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "c68c6b31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(40, 20, 56, 75)"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cross_terms.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "7992914d",
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.plot(cross_terms.sum(axis=(-2, -1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "e2bfd60e",
   "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_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\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",
       "    fig.rubberband_canvas.style.cursor = msg['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",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\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",
       "                img.type = 'image/png';\n",
       "            }\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",
       "                img\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 https://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",
       " * https://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.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\", \"webp\"];\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.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\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",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x1522a124ef10>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.pcolormesh(vsys, kp, cross_terms.sum(axis=(-2, -1)))\n",
    "plt.ylabel('Kp [km/s]')\n",
    "plt.xlabel('RV [km/s]')\n",
    "plt.colorbar(label='Chi2 cross term')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a81502e",
   "metadata": {},
   "source": [
    "# Save results for later use (time consuming to recompute)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "569ed8b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving to chi2_maps/chi2_map_detailed_retrieval_input_3-pc_mask_wings90_tr1.npz\n",
      "NOT AN ARRAY: type(bad_indexs): <class 'NoneType'>\n",
      "Saving bad_indexs as an empty array.\n"
     ]
    }
   ],
   "source": [
    "# Compute useful quantities for logl computations.\n",
    "for data_tr in data_trs.values():\n",
    "    \n",
    "    # Pre-compute all values for the logl that are independent of the model, for all orders.\n",
    "    uncert_sum = np.sum(np.ma.log(data_tr['noise'][:, idx_orders]), axis=axis_sum)\n",
    "    s2f= np.sum(data_tr['flux'][:, idx_orders]**2, axis=axis_sum)\n",
    "\n",
    "\n",
    "# Save logl_map and kp, vsys for later use\n",
    "out_path = Path('chi2_maps')\n",
    "\n",
    "# Create the output directory if it doesn't exist.\n",
    "if not out_path.exists():\n",
    "    out_path.mkdir()\n",
    "filename = f'chi2_map_detailed_{high_res_file_stem}.npz'\n",
    "print(f\"Saving to {out_path / filename}\")\n",
    "\n",
    "# Check the arrays to be saved.\n",
    "saved_arrays = dict(squared_terms=squared_terms, cross_terms=cross_terms,\n",
    "                    kp=kp, vsys=vsys,\n",
    "                    alpha_frac=data_info['trall_alpha_frac'],\n",
    "                    icorr = data_info['trall_icorr'],\n",
    "                    N = data_info['trall_N'],\n",
    "                    bad_indexs = data_info['bad_indexs'],\n",
    "                    s2f=s2f, uncert_sum=uncert_sum)\n",
    "\n",
    "# Make sure that all arrays are saved as empty arrays if they are not np.ndarray\n",
    "# or if the dtype is object.\n",
    "for key, obj in saved_arrays.items():\n",
    "    if isinstance(obj, np.ndarray):\n",
    "        if obj.dtype == 'object':\n",
    "            print(f\"{key}: {obj.shape}, {obj.dtype}\")\n",
    "            print(f\"Saving {key} as an empty array.\")\n",
    "            saved_arrays[key] = np.empty(0)\n",
    "    else:\n",
    "        print(f\"NOT AN ARRAY: type({key}): {type(obj)}\")\n",
    "        print(f\"Saving {key} as an empty array.\")\n",
    "        saved_arrays[key] = np.empty(0)\n",
    "\n",
    "np.savez(out_path / filename, **saved_arrays)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Starships no PRT kernel",
   "language": "python",
   "name": "starships_env_noprt"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
