From d467ae6af245bbc0b160ba274c780b0b64b8c0e4 Mon Sep 17 00:00:00 2001
From: "lars.kaleschke" <lars.kaleschke@awi.de>
Date: Fri, 11 Aug 2023 21:54:01 +0200
Subject: [PATCH] preliminary before submission

---
 SMOS_extent.ipynb | 18662 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 18662 insertions(+)
 create mode 100755 SMOS_extent.ipynb

diff --git a/SMOS_extent.ipynb b/SMOS_extent.ipynb
new file mode 100755
index 0000000..045efdb
--- /dev/null
+++ b/SMOS_extent.ipynb
@@ -0,0 +1,18662 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2f0d6132",
+   "metadata": {},
+   "source": [
+    "# Quality control using SMOS sea ice extent comparison with NSIDC sea ice index \n",
+    "\n",
+    "## Method\n",
+    "L. Kaleschke and X. Tian-Kunze, \"SMOS Sea Ice Thickness Data Product Quality Control by Comparison with the Regional Sea Ice Extent,\" 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, pp. 1110-1113, doi: 10.1109/IGARSS47720.2021.9553630.\n",
+    "https://ieeexplore.ieee.org/abstract/document/9553630\n",
+    "\n",
+    "## Dependency\n",
+    "\n",
+    "\n",
+    "Read NSIDC sea ice extent. .nc file generated with NSIDC regional extent xlsx to NetCDF.ipynb\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "a6670a42",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib notebook\n",
+    "from pylab import *\n",
+    "import xarray as xr\n",
+    "import pandas as pd\n",
+    "import numpy.ma as ma\n",
+    "import os,sys,glob\n",
+    "import scipy.ndimage as ndimage\n",
+    "from ruamel.yaml import YAML\n",
+    "import scipy.stats\n",
+    "import ast\n",
+    "import pyproj \n",
+    "import scipy.stats as stats\n",
+    "import calendar\n",
+    "from get_smos_filelist import get_smos_filelist"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b0c22c3e",
+   "metadata": {},
+   "source": [
+    "## SMOS data v32 and v33"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "49a9235b",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Latest  /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/08/SMOS_Icethickness_v3.3_south_20230807.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Directory for daily product (data source) defined in get_smos_filelist\n",
+    "#smos_datadir_v32 ='/isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south/'\n",
+    "#smos_datadir_v33 ='/isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south/'\n",
+    "\n",
+    "smos_fl_v32=get_smos_filelist(version=\"v3.2\",show='yes')\n",
+    "smos_fl_v33=get_smos_filelist(version=\"v3.3\",show='yes')\n",
+    "\n",
+    "print('Latest ',smos_fl_v33[-1])\n",
+    "# Store in dictionary\n",
+    "SMOS_FL={'v32':smos_fl_v32,'v33':smos_fl_v33}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "3cf2b828",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south/2021/05/SMOS_Icethickness_v3.2_south_20210524.nc'"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smos_fl_v32[-1] # Latest"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "0d6be404",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/08/SMOS_Icethickness_v3.3_south_20230807.nc'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smos_fl_v33[-1] # Latest"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d098e9b",
+   "metadata": {},
+   "source": [
+    "## Regional mask and projection area per gridpoint\n",
+    "\n",
+    "Needed for the calculation of regional sea ice extent in km^2.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b26a14b5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "total 280K\r\n",
+      "280K sh_regional_12km.nc\r\n"
+     ]
+    }
+   ],
+   "source": [
+    "#!mkdir masks\n",
+    "#!cp $sh_regional_12km masks\n",
+    "!ls -sh masks/"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "5d047ab6",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'Ross': 2, 'Bell-Amundsen': 3, 'Weddell': 4, 'Indian': 5, 'Pacific': 6}\n"
+     ]
+    }
+   ],
+   "source": [
+    "pol=pyproj.Proj(\"EPSG:3412\") # NSIDC Polar Stereographic South\n",
+    "epscode=3412\n",
+    "xregmask=xr.open_dataarray('masks/sh_regional_12km.nc')\n",
+    "imshow(xregmask)\n",
+    "colorbar()\n",
+    "regmsk0=flipud(array(xregmask.data))\n",
+    "regcodes=ast.literal_eval(xregmask.region_codes)\n",
+    "Lsel=list(regcodes.keys())\n",
+    "print(xregmask.region_codes)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "13c5283c",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Area scale factor for projection')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hemis='Ant'\n",
+    "def def_grids():\n",
+    "    grids={}\n",
+    "    grids.update({'Arc': [1,3750.0,5850.0,-3850.0,-5350.0]})\n",
+    "    grids.update({'Ant': [-1,3950.0,4350.0,-3950.0,-3950.0]})\n",
+    "    return grids\n",
+    "\n",
+    "def mapxy(x,y):\n",
+    "    lon,lat=pol(x*1000,y*1000, inverse=True)\n",
+    "    return lat,lon\n",
+    "\n",
+    "grids=def_grids()\n",
+    "cs=12.5\n",
+    "\n",
+    "sgn,cds= grids[hemis][0],grids[hemis][1:5]\n",
+    "x0,y0,x2,y2=cds[0],cds[1],cds[2],cds[3]\n",
+    "xs,ys=(x0-x2)/cs,(y0-y2)/cs\n",
+    "y=linspace(y2+cs/2,y0-cs/2,int((y0-y2)/cs))\n",
+    "x=linspace(x2+cs/2,x0-cs/2,int((x0-x2)/cs))\n",
+    "X,Y=meshgrid(x,y)\n",
+    "#xcs=linspace(x2,x0,int((x0-x2)/cs)) # X,Y coordinates\n",
+    "#ycs=linspace(y2,y0,int((y0-y2)/cs))\n",
+    "\n",
+    "X,Y=meshgrid(x,y)\n",
+    "latA,lonA=mapxy(X,Y)\n",
+    "# \"A\" has to be multiplied with concentration to get the area per pixel\n",
+    "A=flipud(pol.get_factors(lonA,latA).areal_scale)\n",
+    "\n",
+    "imshow(A)\n",
+    "colorbar()\n",
+    "title('Area scale factor for projection')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "bcb1cdcd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Read NSIDC sea ice extent. .nc file generated with NSIDC regional extent xlsx to NetCDF.ipynb\n",
+    "xe1=xr.open_dataset('nsidc/Ant_NSIDC_regional_extent.nc')\n",
+    "\n",
+    "# Use only data after 2010\n",
+    "startdate='2010-01-01'\n",
+    "#startdate='1980-01-01'\n",
+    "\n",
+    "nsidc={}\n",
+    "for k in Lsel:\n",
+    "    nsidc[k]=pd.Series( data= xe1[k].loc[startdate:]/1e6,index=pd.to_datetime(xe1.dim_0.loc[startdate:]))\n",
+    "    \n",
+    "DF_nsidc=pd.DataFrame(nsidc)\n",
+    "DF_nsidc['Total']=DF_nsidc.sum(axis=1,skipna=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "e3e09f37",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Ross</th>\n",
+       "      <th>Bell-Amundsen</th>\n",
+       "      <th>Weddell</th>\n",
+       "      <th>Indian</th>\n",
+       "      <th>Pacific</th>\n",
+       "      <th>Total</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2010-01-01</th>\n",
+       "      <td>1.989168</td>\n",
+       "      <td>0.870182</td>\n",
+       "      <td>3.485189</td>\n",
+       "      <td>0.759400</td>\n",
+       "      <td>0.804739</td>\n",
+       "      <td>7.908679</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-02</th>\n",
+       "      <td>1.949848</td>\n",
+       "      <td>0.844265</td>\n",
+       "      <td>3.355282</td>\n",
+       "      <td>0.712128</td>\n",
+       "      <td>0.798617</td>\n",
+       "      <td>7.660139</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-03</th>\n",
+       "      <td>1.890906</td>\n",
+       "      <td>0.821424</td>\n",
+       "      <td>3.213629</td>\n",
+       "      <td>0.661215</td>\n",
+       "      <td>0.791545</td>\n",
+       "      <td>7.378720</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-04</th>\n",
+       "      <td>1.829210</td>\n",
+       "      <td>0.794490</td>\n",
+       "      <td>3.108500</td>\n",
+       "      <td>0.614709</td>\n",
+       "      <td>0.781102</td>\n",
+       "      <td>7.128010</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2010-01-05</th>\n",
+       "      <td>1.750013</td>\n",
+       "      <td>0.768891</td>\n",
+       "      <td>3.014921</td>\n",
+       "      <td>0.578749</td>\n",
+       "      <td>0.769922</td>\n",
+       "      <td>6.882496</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-08-03</th>\n",
+       "      <td>2.981631</td>\n",
+       "      <td>2.317415</td>\n",
+       "      <td>5.308852</td>\n",
+       "      <td>2.443148</td>\n",
+       "      <td>1.728929</td>\n",
+       "      <td>14.779974</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-08-04</th>\n",
+       "      <td>2.953678</td>\n",
+       "      <td>2.350851</td>\n",
+       "      <td>5.311959</td>\n",
+       "      <td>2.461200</td>\n",
+       "      <td>1.741653</td>\n",
+       "      <td>14.819342</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-08-05</th>\n",
+       "      <td>2.931706</td>\n",
+       "      <td>2.391902</td>\n",
+       "      <td>5.316532</td>\n",
+       "      <td>2.479912</td>\n",
+       "      <td>1.736614</td>\n",
+       "      <td>14.856667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-08-06</th>\n",
+       "      <td>2.917327</td>\n",
+       "      <td>2.440454</td>\n",
+       "      <td>5.330129</td>\n",
+       "      <td>2.483084</td>\n",
+       "      <td>1.713328</td>\n",
+       "      <td>14.884321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-08-07</th>\n",
+       "      <td>2.901972</td>\n",
+       "      <td>2.473192</td>\n",
+       "      <td>5.351418</td>\n",
+       "      <td>2.504968</td>\n",
+       "      <td>1.685018</td>\n",
+       "      <td>14.916569</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>4967 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Ross  Bell-Amundsen   Weddell    Indian   Pacific      Total\n",
+       "2010-01-01  1.989168       0.870182  3.485189  0.759400  0.804739   7.908679\n",
+       "2010-01-02  1.949848       0.844265  3.355282  0.712128  0.798617   7.660139\n",
+       "2010-01-03  1.890906       0.821424  3.213629  0.661215  0.791545   7.378720\n",
+       "2010-01-04  1.829210       0.794490  3.108500  0.614709  0.781102   7.128010\n",
+       "2010-01-05  1.750013       0.768891  3.014921  0.578749  0.769922   6.882496\n",
+       "...              ...            ...       ...       ...       ...        ...\n",
+       "2023-08-03  2.981631       2.317415  5.308852  2.443148  1.728929  14.779974\n",
+       "2023-08-04  2.953678       2.350851  5.311959  2.461200  1.741653  14.819342\n",
+       "2023-08-05  2.931706       2.391902  5.316532  2.479912  1.736614  14.856667\n",
+       "2023-08-06  2.917327       2.440454  5.330129  2.483084  1.713328  14.884321\n",
+       "2023-08-07  2.901972       2.473192  5.351418  2.504968  1.685018  14.916569\n",
+       "\n",
+       "[4967 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "DF_nsidc"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e084627c",
+   "metadata": {},
+   "source": [
+    "# Calculate SMOS ice extent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "cd021fbc",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Len smos file list (smos_fl): 3494\n",
+      "2010-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/03/SMOS_Icethickness_v3.3_south_20100301.nc\n",
+      "2010-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/05/SMOS_Icethickness_v3.3_south_20100501.nc\n",
+      "2010-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/06/SMOS_Icethickness_v3.3_south_20100601.nc\n",
+      "2010-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/07/SMOS_Icethickness_v3.3_south_20100701.nc\n",
+      "2010-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/08/SMOS_Icethickness_v3.3_south_20100801.nc\n",
+      "2010-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/09/SMOS_Icethickness_v3.3_south_20100901.nc\n",
+      "2010-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/10/SMOS_Icethickness_v3.3_south_20101001.nc\n",
+      "2011-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/02/SMOS_Icethickness_v3.3_south_20110201.nc\n",
+      "2011-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/03/SMOS_Icethickness_v3.3_south_20110301.nc\n",
+      "2011-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/04/SMOS_Icethickness_v3.3_south_20110401.nc\n",
+      "2011-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/05/SMOS_Icethickness_v3.3_south_20110501.nc\n",
+      "2011-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/06/SMOS_Icethickness_v3.3_south_20110601.nc\n",
+      "2011-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/07/SMOS_Icethickness_v3.3_south_20110701.nc\n",
+      "2011-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/08/SMOS_Icethickness_v3.3_south_20110801.nc\n",
+      "2011-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/09/SMOS_Icethickness_v3.3_south_20110901.nc\n",
+      "2011-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/10/SMOS_Icethickness_v3.3_south_20111001.nc\n",
+      "2012-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/02/SMOS_Icethickness_v3.3_south_20120201.nc\n",
+      "2012-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/03/SMOS_Icethickness_v3.3_south_20120301.nc\n",
+      "2012-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/04/SMOS_Icethickness_v3.3_south_20120401.nc\n",
+      "2012-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/05/SMOS_Icethickness_v3.3_south_20120501.nc\n",
+      "2012-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/06/SMOS_Icethickness_v3.3_south_20120601.nc\n",
+      "2012-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/07/SMOS_Icethickness_v3.3_south_20120701.nc\n",
+      "2012-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/08/SMOS_Icethickness_v3.3_south_20120801.nc\n",
+      "2012-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/09/SMOS_Icethickness_v3.3_south_20120901.nc\n",
+      "2012-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/10/SMOS_Icethickness_v3.3_south_20121001.nc\n",
+      "2013-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/02/SMOS_Icethickness_v3.3_south_20130201.nc\n",
+      "2013-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/03/SMOS_Icethickness_v3.3_south_20130301.nc\n",
+      "2013-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/04/SMOS_Icethickness_v3.3_south_20130401.nc\n",
+      "2013-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/05/SMOS_Icethickness_v3.3_south_20130501.nc\n",
+      "2013-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/06/SMOS_Icethickness_v3.3_south_20130601.nc\n",
+      "2013-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/07/SMOS_Icethickness_v3.3_south_20130701.nc\n",
+      "2013-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/08/SMOS_Icethickness_v3.3_south_20130801.nc\n",
+      "2013-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/09/SMOS_Icethickness_v3.3_south_20130901.nc\n",
+      "2013-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/10/SMOS_Icethickness_v3.3_south_20131001.nc\n",
+      "2014-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/02/SMOS_Icethickness_v3.3_south_20140201.nc\n",
+      "2014-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/03/SMOS_Icethickness_v3.3_south_20140301.nc\n",
+      "2014-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/04/SMOS_Icethickness_v3.3_south_20140401.nc\n",
+      "2014-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/05/SMOS_Icethickness_v3.3_south_20140501.nc\n",
+      "2014-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/06/SMOS_Icethickness_v3.3_south_20140601.nc\n",
+      "2014-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/07/SMOS_Icethickness_v3.3_south_20140701.nc\n",
+      "2014-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/08/SMOS_Icethickness_v3.3_south_20140801.nc\n",
+      "2014-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/09/SMOS_Icethickness_v3.3_south_20140901.nc\n",
+      "2014-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/10/SMOS_Icethickness_v3.3_south_20141001.nc\n",
+      "2015-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/02/SMOS_Icethickness_v3.3_south_20150201.nc\n",
+      "2015-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/03/SMOS_Icethickness_v3.3_south_20150301.nc\n",
+      "2015-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/04/SMOS_Icethickness_v3.3_south_20150401.nc\n",
+      "2015-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/05/SMOS_Icethickness_v3.3_south_20150501.nc\n",
+      "2015-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/06/SMOS_Icethickness_v3.3_south_20150601.nc\n",
+      "2015-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/07/SMOS_Icethickness_v3.3_south_20150701.nc\n",
+      "2015-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/08/SMOS_Icethickness_v3.3_south_20150801.nc\n",
+      "2015-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/09/SMOS_Icethickness_v3.3_south_20150901.nc\n",
+      "2015-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/10/SMOS_Icethickness_v3.3_south_20151001.nc\n",
+      "2016-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/02/SMOS_Icethickness_v3.3_south_20160201.nc\n",
+      "2016-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/03/SMOS_Icethickness_v3.3_south_20160301.nc\n",
+      "2016-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/04/SMOS_Icethickness_v3.3_south_20160401.nc\n",
+      "2016-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/05/SMOS_Icethickness_v3.3_south_20160501.nc\n",
+      "2016-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/06/SMOS_Icethickness_v3.3_south_20160601.nc\n",
+      "2016-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/07/SMOS_Icethickness_v3.3_south_20160701.nc\n",
+      "2016-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/08/SMOS_Icethickness_v3.3_south_20160801.nc\n",
+      "2016-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/09/SMOS_Icethickness_v3.3_south_20160901.nc\n",
+      "2016-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/10/SMOS_Icethickness_v3.3_south_20161001.nc\n",
+      "2017-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/02/SMOS_Icethickness_v3.3_south_20170201.nc\n",
+      "2017-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/03/SMOS_Icethickness_v3.3_south_20170301.nc\n",
+      "2017-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/04/SMOS_Icethickness_v3.3_south_20170401.nc\n",
+      "2017-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/05/SMOS_Icethickness_v3.3_south_20170501.nc\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2017-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/06/SMOS_Icethickness_v3.3_south_20170601.nc\n",
+      "2017-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/07/SMOS_Icethickness_v3.3_south_20170701.nc\n",
+      "2017-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/08/SMOS_Icethickness_v3.3_south_20170801.nc\n",
+      "2017-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/09/SMOS_Icethickness_v3.3_south_20170901.nc\n",
+      "2017-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/10/SMOS_Icethickness_v3.3_south_20171001.nc\n",
+      "2018-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/02/SMOS_Icethickness_v3.3_south_20180201.nc\n",
+      "2018-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/03/SMOS_Icethickness_v3.3_south_20180301.nc\n",
+      "2018-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/04/SMOS_Icethickness_v3.3_south_20180401.nc\n",
+      "2018-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/05/SMOS_Icethickness_v3.3_south_20180501.nc\n",
+      "2018-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/06/SMOS_Icethickness_v3.3_south_20180601.nc\n",
+      "2018-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/07/SMOS_Icethickness_v3.3_south_20180701.nc\n",
+      "2018-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/08/SMOS_Icethickness_v3.3_south_20180801.nc\n",
+      "2018-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/09/SMOS_Icethickness_v3.3_south_20180901.nc\n",
+      "2018-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/10/SMOS_Icethickness_v3.3_south_20181001.nc\n",
+      "2019-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/02/SMOS_Icethickness_v3.3_south_20190201.nc\n",
+      "2019-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/03/SMOS_Icethickness_v3.3_south_20190301.nc\n",
+      "2019-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/04/SMOS_Icethickness_v3.3_south_20190401.nc\n",
+      "2019-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/05/SMOS_Icethickness_v3.3_south_20190501.nc\n",
+      "2019-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/06/SMOS_Icethickness_v3.3_south_20190601.nc\n",
+      "2019-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/07/SMOS_Icethickness_v3.3_south_20190701.nc\n",
+      "2019-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/08/SMOS_Icethickness_v3.3_south_20190801.nc\n",
+      "2019-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/09/SMOS_Icethickness_v3.3_south_20190901.nc\n",
+      "2019-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/10/SMOS_Icethickness_v3.3_south_20191001.nc\n",
+      "2020-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/02/SMOS_Icethickness_v3.3_south_20200201.nc\n",
+      "2020-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/03/SMOS_Icethickness_v3.3_south_20200301.nc\n",
+      "2020-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/04/SMOS_Icethickness_v3.3_south_20200401.nc\n",
+      "2020-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/05/SMOS_Icethickness_v3.3_south_20200501.nc\n",
+      "2020-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/06/SMOS_Icethickness_v3.3_south_20200601.nc\n",
+      "2020-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/07/SMOS_Icethickness_v3.3_south_20200701.nc\n",
+      "2020-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/08/SMOS_Icethickness_v3.3_south_20200801.nc\n",
+      "2020-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/09/SMOS_Icethickness_v3.3_south_20200901.nc\n",
+      "2020-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/10/SMOS_Icethickness_v3.3_south_20201001.nc\n",
+      "2021-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/02/SMOS_Icethickness_v3.3_south_20210201.nc\n",
+      "2021-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/03/SMOS_Icethickness_v3.3_south_20210301.nc\n",
+      "2021-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/04/SMOS_Icethickness_v3.3_south_20210401.nc\n",
+      "2021-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/05/SMOS_Icethickness_v3.3_south_20210501.nc\n",
+      "2021-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/06/SMOS_Icethickness_v3.3_south_20210601.nc\n",
+      "2021-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/07/SMOS_Icethickness_v3.3_south_20210701.nc\n",
+      "2021-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/08/SMOS_Icethickness_v3.3_south_20210801.nc\n",
+      "2021-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/09/SMOS_Icethickness_v3.3_south_20210901.nc\n",
+      "2021-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/10/SMOS_Icethickness_v3.3_south_20211001.nc\n",
+      "2022-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/02/SMOS_Icethickness_v3.3_south_20220201.nc\n",
+      "2022-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/03/SMOS_Icethickness_v3.3_south_20220301.nc\n",
+      "2022-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/04/SMOS_Icethickness_v3.3_south_20220401.nc\n",
+      "2022-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/05/SMOS_Icethickness_v3.3_south_20220501.nc\n",
+      "2022-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/06/SMOS_Icethickness_v3.3_south_20220601.nc\n",
+      "2022-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/07/SMOS_Icethickness_v3.3_south_20220701.nc\n",
+      "2022-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/08/SMOS_Icethickness_v3.3_south_20220801.nc\n",
+      "2022-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/09/SMOS_Icethickness_v3.3_south_20220901.nc\n",
+      "2022-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/10/SMOS_Icethickness_v3.3_south_20221001.nc\n",
+      "2023-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/02/SMOS_Icethickness_v3.3_south_20230201.nc\n",
+      "2023-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/03/SMOS_Icethickness_v3.3_south_20230301.nc\n",
+      "2023-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/04/SMOS_Icethickness_v3.3_south_20230401.nc\n",
+      "2023-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/05/SMOS_Icethickness_v3.3_south_20230501.nc\n",
+      "2023-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/06/SMOS_Icethickness_v3.3_south_20230601.nc\n",
+      "2023-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/07/SMOS_Icethickness_v3.3_south_20230701.nc\n",
+      "2023-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/08/SMOS_Icethickness_v3.3_south_20230801.nc\n",
+      "Len smos file list (smos_fl): 2057\n",
+      "2010-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2010/05/SMOS_Icethickness_v3.2_south_20100501.nc\n",
+      "2010-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2010/06/SMOS_Icethickness_v3.2_south_20100601.nc\n",
+      "2010-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2010/07/SMOS_Icethickness_v3.2_south_20100701.nc\n",
+      "2010-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2010/08/SMOS_Icethickness_v3.2_south_20100801.nc\n",
+      "2010-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2010/09/SMOS_Icethickness_v3.2_south_20100901.nc\n",
+      "2010-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2010/10/SMOS_Icethickness_v3.2_south_20101001.nc\n",
+      "2011-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2011/05/SMOS_Icethickness_v3.2_south_20110501.nc\n",
+      "2011-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2011/06/SMOS_Icethickness_v3.2_south_20110601.nc\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2011-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2011/07/SMOS_Icethickness_v3.2_south_20110701.nc\n",
+      "2011-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2011/08/SMOS_Icethickness_v3.2_south_20110801.nc\n",
+      "2011-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2011/09/SMOS_Icethickness_v3.2_south_20110901.nc\n",
+      "2011-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2011/10/SMOS_Icethickness_v3.2_south_20111001.nc\n",
+      "2012-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2012/05/SMOS_Icethickness_v3.2_south_20120501.nc\n",
+      "2012-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2012/06/SMOS_Icethickness_v3.2_south_20120601.nc\n",
+      "2012-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2012/07/SMOS_Icethickness_v3.2_south_20120701.nc\n",
+      "2012-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2012/08/SMOS_Icethickness_v3.2_south_20120801.nc\n",
+      "2012-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2012/09/SMOS_Icethickness_v3.2_south_20120901.nc\n",
+      "2012-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2012/10/SMOS_Icethickness_v3.2_south_20121001.nc\n",
+      "2013-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2013/05/SMOS_Icethickness_v3.2_south_20130501.nc\n",
+      "2013-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2013/06/SMOS_Icethickness_v3.2_south_20130601.nc\n",
+      "2013-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2013/07/SMOS_Icethickness_v3.2_south_20130701.nc\n",
+      "2013-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2013/08/SMOS_Icethickness_v3.2_south_20130801.nc\n",
+      "2013-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2013/09/SMOS_Icethickness_v3.2_south_20130901.nc\n",
+      "2013-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2013/10/SMOS_Icethickness_v3.2_south_20131001.nc\n",
+      "2014-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2014/05/SMOS_Icethickness_v3.2_south_20140501.nc\n",
+      "2014-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2014/06/SMOS_Icethickness_v3.2_south_20140601.nc\n",
+      "2014-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2014/07/SMOS_Icethickness_v3.2_south_20140701.nc\n",
+      "2014-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2014/08/SMOS_Icethickness_v3.2_south_20140801.nc\n",
+      "2014-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2014/09/SMOS_Icethickness_v3.2_south_20140901.nc\n",
+      "2014-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2014/10/SMOS_Icethickness_v3.2_south_20141001.nc\n",
+      "2015-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2015/05/SMOS_Icethickness_v3.2_south_20150501.nc\n",
+      "2015-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2015/06/SMOS_Icethickness_v3.2_south_20150601.nc\n",
+      "2015-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2015/07/SMOS_Icethickness_v3.2_south_20150701.nc\n",
+      "2015-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2015/08/SMOS_Icethickness_v3.2_south_20150801.nc\n",
+      "2015-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2015/09/SMOS_Icethickness_v3.2_south_20150901.nc\n",
+      "2015-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2015/10/SMOS_Icethickness_v3.2_south_20151001.nc\n",
+      "2016-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2016/05/SMOS_Icethickness_v3.2_south_20160501.nc\n",
+      "2016-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2016/06/SMOS_Icethickness_v3.2_south_20160601.nc\n",
+      "2016-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2016/07/SMOS_Icethickness_v3.2_south_20160701.nc\n",
+      "2016-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2016/08/SMOS_Icethickness_v3.2_south_20160801.nc\n",
+      "2016-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2016/09/SMOS_Icethickness_v3.2_south_20160901.nc\n",
+      "2016-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2016/10/SMOS_Icethickness_v3.2_south_20161001.nc\n",
+      "2017-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2017/05/SMOS_Icethickness_v3.2_south_20170501.nc\n",
+      "2017-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2017/06/SMOS_Icethickness_v3.2_south_20170601.nc\n",
+      "2017-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2017/07/SMOS_Icethickness_v3.2_south_20170701.nc\n",
+      "2017-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2017/08/SMOS_Icethickness_v3.2_south_20170801.nc\n",
+      "2017-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2017/09/SMOS_Icethickness_v3.2_south_20170901.nc\n",
+      "2017-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2017/10/SMOS_Icethickness_v3.2_south_20171001.nc\n",
+      "2018-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2018/05/SMOS_Icethickness_v3.2_south_20180501.nc\n",
+      "2018-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2018/06/SMOS_Icethickness_v3.2_south_20180601.nc\n",
+      "2018-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2018/07/SMOS_Icethickness_v3.2_south_20180701.nc\n",
+      "2018-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2018/08/SMOS_Icethickness_v3.2_south_20180801.nc\n",
+      "2018-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2018/09/SMOS_Icethickness_v3.2_south_20180901.nc\n",
+      "2018-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2018/10/SMOS_Icethickness_v3.2_south_20181001.nc\n",
+      "2019-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2019/05/SMOS_Icethickness_v3.2_south_20190501.nc\n",
+      "2019-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2019/06/SMOS_Icethickness_v3.2_south_20190601.nc\n",
+      "2019-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2019/07/SMOS_Icethickness_v3.2_south_20190701.nc\n",
+      "2019-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2019/08/SMOS_Icethickness_v3.2_south_20190801.nc\n",
+      "2019-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2019/09/SMOS_Icethickness_v3.2_south_20190901.nc\n",
+      "2019-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2019/10/SMOS_Icethickness_v3.2_south_20191001.nc\n",
+      "2020-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2020/05/SMOS_Icethickness_v3.2_south_20200501.nc\n",
+      "2020-06-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2020/06/SMOS_Icethickness_v3.2_south_20200601.nc\n",
+      "2020-07-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2020/07/SMOS_Icethickness_v3.2_south_20200701.nc\n",
+      "2020-08-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2020/08/SMOS_Icethickness_v3.2_south_20200801.nc\n",
+      "2020-09-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2020/09/SMOS_Icethickness_v3.2_south_20200901.nc\n",
+      "2020-10-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2020/10/SMOS_Icethickness_v3.2_south_20201001.nc\n",
+      "2021-05-01 /isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south//2021/05/SMOS_Icethickness_v3.2_south_20210501.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "def calc_smos_extent(smos_fl,**kw):\n",
+    "    \"\"\"Calculate sea ice extent from SMOS \"\"\"\n",
+    "    year1 = kw.get('year1', 2010)\n",
+    "    year2 = kw.get('year2', 2023)\n",
+    "    thresh = kw.get('thresh', 0.03)\n",
+    "    \n",
+    "    L_date2=[]\n",
+    "    # Init empty list dict\n",
+    "    #{'Ross': [], 'Bell-Amundsen': [], 'Weddell': [], 'Indian': [], 'Pacific': []}\n",
+    "    D_smos_L={}\n",
+    "\n",
+    "    bad_files=[]\n",
+    "    for k in Lsel:\n",
+    "        D_smos_L[k]=[]\n",
+    "    print(\"Len smos file list (smos_fl):\",len(smos_fl))\n",
+    "    for date in smos_fl.index:\n",
+    "        datestr=str(date)[0:10] \n",
+    "        fn=smos_fl[date]\n",
+    "        #print(datestr)\n",
+    "        if datestr[8:10]=='01':\n",
+    "                print(datestr,fn)\n",
+    "        try:\n",
+    "            \n",
+    "            good_file=True\n",
+    "            xa=xr.open_dataset(fn)\n",
+    "            L_date2.append(date)\n",
+    "        except:\n",
+    "            good_file=False\n",
+    "            bad_files.append(fn)\n",
+    "            print('Bad file', fn)\n",
+    "        if good_file:\n",
+    "            land=array(xa.land)[0,:,:]\n",
+    "            sit=array(xa.sea_ice_thickness)[0,:,:]\n",
+    "            msk_nan=isnan(sit)  \n",
+    "            sit[land==1]=nan\n",
+    "            #sit[lat>85]=1.5 # North only\n",
+    "            sit=ma.masked_invalid(sit)\n",
+    "            \n",
+    "            for k in Lsel:\n",
+    "                #print(regcodes[k],k)\n",
+    "                msksel=(regmsk0==regcodes[k])\n",
+    "                sitr=sit*msksel\n",
+    "                nancount=sum((msk_nan*msksel)*A)*12.5*12.5/1e6\n",
+    "                reg_extent1=sum((sitr>thresh)*A)*12.5*12.5/1e6\n",
+    "                D_smos_L[k].append((nancount,reg_extent1))\n",
+    "\n",
+    "    D_smos_ts={}    \n",
+    "    D_smos_nan_ts={}    \n",
+    "    for k in Lsel:\n",
+    "        D_smos_ts[k]=pd.Series(data=array(D_smos_L[k])[:,1],index=L_date2)\n",
+    "        D_smos_nan_ts[k]=pd.Series(data=array(D_smos_L[k])[:,0],index=L_date2)        \n",
+    "        \n",
+    "    # Generate timeseries filled with NaNs for nicer plots\n",
+    "    dr=pd.date_range(str(year1)+'-01-01',str(year2)+'-12-31',freq='1d')\n",
+    "    Nd=len(dr) # Total days in period\n",
+    "    \n",
+    "    DF_smos={}\n",
+    "    DF_nan={}\n",
+    "\n",
+    "    for i,k in enumerate(Lsel):    \n",
+    "        nans=zeros(Nd)\n",
+    "        nans[:]=nan\n",
+    "        ts_smos=pd.Series(data=nans.copy(),index=dr)\n",
+    "        ts_smos.loc[D_smos_ts[k].index]=D_smos_ts[k].values\n",
+    "        ts_smos_nan=pd.Series(data=nans.copy(),index=dr)\n",
+    "        ts_smos_nan.loc[D_smos_nan_ts[k].index]=D_smos_nan_ts[k].values\n",
+    "\n",
+    "        DF_smos[k]=ts_smos\n",
+    "        DF_nan[k]=ts_smos_nan\n",
+    "\n",
+    "    DF_smos=pd.DataFrame(DF_smos)\n",
+    "    DF_nan=pd.DataFrame(DF_nan)\n",
+    "    \n",
+    "    # Calculate and add total extent\n",
+    "    DF_smos['Total']=DF_smos.sum(axis=1,skipna=False)\n",
+    "    DF_nan['Total']=DF_nan.sum(axis=1,skipna=False)\n",
+    "    return DF_smos, DF_nan\n",
+    "\n",
+    "DF_smos_v33,DF_nan_v33=calc_smos_extent(smos_fl_v33)\n",
+    "DF_smos_v32,DF_nan_v32=calc_smos_extent(smos_fl_v32)\n",
+    "#DF_smos_t05,DF_nan_t05=calc_smos_extent(smos_fl_v33,thresh=0.5) # For different thickness threshold\n",
+    "#\n",
+    "# Save to disk\n",
+    "if True:\n",
+    "    xr.Dataset(DF_smos_v32).to_netcdf('smos_extent_v32.nc')\n",
+    "    xr.Dataset(DF_smos_v33).to_netcdf('smos_extent_v33.nc')\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "cac0c02f",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7fca5b8bc640>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "DF_smos_v33.Total.plot(label='SMOS v33')\n",
+    "DF_nan_v33.Total.plot(label='SMOS missing')\n",
+    "DF_nsidc.Total.plot(label='NSIDC')\n",
+    "ylim(0,25.0)\n",
+    "#xlabel('Date')\n",
+    "legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "e812a2db",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_933618/1734132479.py:1: MatplotlibDeprecationWarning: The close_event function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use callbacks.process('close_event', CloseEvent(...)) instead.\n",
+      "  close()\n"
+     ]
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "/* Put everything inside the global mpl namespace */\n",
+       "/* global mpl */\n",
+       "window.mpl = {};\n",
+       "\n",
+       "mpl.get_websocket_type = function () {\n",
+       "    if (typeof WebSocket !== 'undefined') {\n",
+       "        return WebSocket;\n",
+       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
+       "        return MozWebSocket;\n",
+       "    } else {\n",
+       "        alert(\n",
+       "            'Your browser does not have WebSocket support. ' +\n",
+       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
+       "                'Firefox 4 and 5 are also supported but you ' +\n",
+       "                'have to enable WebSockets in about:config.'\n",
+       "        );\n",
+       "    }\n",
+       "};\n",
+       "\n",
+       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
+       "    this.id = figure_id;\n",
+       "\n",
+       "    this.ws = websocket;\n",
+       "\n",
+       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
+       "\n",
+       "    if (!this.supports_binary) {\n",
+       "        var warnings = document.getElementById('mpl-warnings');\n",
+       "        if (warnings) {\n",
+       "            warnings.style.display = 'block';\n",
+       "            warnings.textContent =\n",
+       "                'This browser does not support binary websocket messages. ' +\n",
+       "                'Performance may be slow.';\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    this.imageObj = new Image();\n",
+       "\n",
+       "    this.context = undefined;\n",
+       "    this.message = undefined;\n",
+       "    this.canvas = undefined;\n",
+       "    this.rubberband_canvas = undefined;\n",
+       "    this.rubberband_context = undefined;\n",
+       "    this.format_dropdown = undefined;\n",
+       "\n",
+       "    this.image_mode = 'full';\n",
+       "\n",
+       "    this.root = document.createElement('div');\n",
+       "    this.root.setAttribute('style', 'display: inline-block');\n",
+       "    this._root_extra_style(this.root);\n",
+       "\n",
+       "    parent_element.appendChild(this.root);\n",
+       "\n",
+       "    this._init_header(this);\n",
+       "    this._init_canvas(this);\n",
+       "    this._init_toolbar(this);\n",
+       "\n",
+       "    var fig = this;\n",
+       "\n",
+       "    this.waiting = false;\n",
+       "\n",
+       "    this.ws.onopen = function () {\n",
+       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
+       "        fig.send_message('send_image_mode', {});\n",
+       "        if (fig.ratio !== 1) {\n",
+       "            fig.send_message('set_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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.legend.Legend at 0x7f637b02a290>"
+      ]
+     },
+     "execution_count": 122,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "close()\n",
+    "DF_smos_v32.Total.plot(label='SMOS v32')\n",
+    "DF_nan_v32.Total.plot(label='SMOS missing')\n",
+    "DF_nsidc.Total.plot(label='NSIDC')\n",
+    "#xlabel('Date')\n",
+    "ylim(0,25.0)\n",
+    "legend()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "4aea4ef5",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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9Nop8+TYd+3aFYmJiXUi6JmZma0eGzvoHXtO8q8zASbABJhA0wTYQW+HM0TbUEUEvftAWI6fp3G0euWg5+cDTz3FKe7tcN7xJpkAE2AC9QlQZJyi2sOGDcPp06fF1926dYNUKgXVepOpWq5RWvvChQtx7do19O7dG+7u7khOTsaePXvw6KOP4vnnnxfRc01GCvDkyKelpYmvqSadouOUkk4R8/pGUfuffvqpjoNOdeYUHa9fD69alyYRaDKhdgS9LWNjB52vEybABJgAE9BlAtr2JTmC3l4RdHbQdfk64rExASbABHSSAKWtU+25kZGRSGGn1HMSiKut7F5ZWSkU2yl6/dtvv2HTpk3i+6lTp+L777/Hxx9/LBz35kwikYC2RaZq8UZK8ffcc0+DVV999VWsXbu2joNOv0m/TX+ee+65BuusW7dO9GSv7aC3ZWzsoDd3JPl7JsAEmAAT6EgC7KC3A31tQ5WvnQmJfyBk93IEvR0OF2+SCTABJtCpCVD6OaWh//PPP8jJycHDDz/coDc6qb1TP3T6nmrOSal9w4YNovZ85cqVoFT5AQMGoG/fvk2y2rZtm/ieWrZRajv9oTT3+qbJQSehuf/973/iD7V+q2+aHPS2jI0d9E59uvPOMQEmwAT0noC2fUmOoLdHBJ0ddL2/0HgHmAATYAIdReDFF1/E559/jvfee0844BS5jouLE0JpKiNFdxJmIyedasnj4+NFCnyfPn2Es07icORUU4p5S4zq3MlZb02K+/Lly0H90VuT4t6WsbGD3pIjyMswASbABJhARxFgB70dyGsbqnzts5D4D+IIejscK94kE2ACTKCzE/jhhx/w2GOPiVRzEn6jOnGqLa9tpOg+adIkLF26VKilk3gcLUtCbSkpKfD29haq7CQSR+nyzZlKKZ5+k9Lca5tcLoenp2cDkbi//voLY8eOFa3VQkNDG4jEUb/2hISEOinubRkbO+jNHT3+ngkwASbABDqSgLZ9SY6gt0sEnR30jrxI+LeZABNgAvpMgBxyNzc30RqNeqOTQNuuXbvq7BIpq9vb24tadHKgyVmnenSVkdAbOd3ULm39+vVC5b22kQAdrUdt28gKCgrQpUsX4eTv3r1biMyRUU90qi8nlXey+m3WevbsicjISKE4T8rzKqPIOkXYyeq3WWvt2NhB1+ezmcfOBJgAE+j8BNhBb4djrG2o8jXPQtJzMGT3Pq9xtKzi3g4HkTfJBJgAE+hEBCj6HBMTI/aIHGxKe69vAQEBInJNplJ0Vy1TUlIinHaqY7e0tBRt1cjpT09PR3R0tIiyv/zyyyJ9XmU//vijcMypv/mIESNEa7Vz586pe6d/++23dRx0Wu/MmTNCrK60tFTUvFM0PSQkRLRdmz59OjZv3tzAQW/L2LgPeic6uXlXmAATYAKdjIC2fclbHkF/5plnRD/XxoxS9aierTFrav2kpCTRX7W1pm2o7KC39gjw8kyACTABJlCbgKomnD6jZxQ5v/WNIttUM05GPdEH3jYU+VUKWEuMYGZkCOpFTs/bHTt2iPr04uJiODk5idR3ct4pul7/mUm9zSn6ffHiRZiYmGDUqFFCdI7S7ikiXjuCrhrPlStXQDXxJ0+eFB8NHjwY1IItKipK9HCvH0GnZVo7NnbQ+fpgAjdHoLqmBgZAnVKUm9sir80EmICKgLZ9yVvuoNNsuyoqUPuwktrrhQsXxEvBwIEDm3XQ6aXD0NCwznJTpkyBubl5q88WbUMVDnqvIZCNm6txLHoVQS8oAJ58kvugt/qs4hWYABNgAreOwLaUbPyVU6D+wcW+rugpk966AfAvMQEmoJMEFDU1+CY1B0dzC2BsYICHne0wzsGKHXWdPFo8KH0loG1f8pY76JrAU7qbi4uLUKilWf6mTBVBp96t1MNVG6ZtqOyga+Oo8DaYABNgAkygJQRCi0qxIjYNRclJuPrlWgxetAwmMkt806cLv4S3BCAvwwQ6MYHD2fnYkZqDrKuXYGptCyufLljQxQV9LVsf0OrEmHjXmMBNEdC2L6kTDjrVtT311FP45JNP8Prrr7fIQa+oqBA1bySiUz+S3lrC2oYqXz0DkoDbOILe2gPByzMBJsAEmECrCbwTnYLYknLs7NdVrBvw7FwMeHkBZno44A47q1Zvj1dgAkyg8xBYEpmMmNw87B7WV+zUk1eiMcjaAq/4uHSeneQ9YQIdTEDbvqROOOjU1oWEbKiNjLOzc4scdBK9KSwshFQqxfjx44WCbNeuypeT1pq2obKD3tojwMszASbABJhAWwlMC4qForIC3w/qqd7EI8cvwtTaBsv83NDV3Kytm+b1mAAT0GMCORVVeCU8EclH/8LRl58Te/LAgWOQuXtgR19fPd4zHjoT0C0C2vYlO9xBJyVZUoolJ3v//v3N0n7zzTdB6e2BgYEwNTXFv//+i88++0yo1FINO/V+bcqofQ39qW3UJ5Yi+M3Vvzc7uOsLCAe991DI7pmjcRW9qkEvLASeeIJr0Ft68Hk5JtCBBCjV+WJBMVxMjDHK1lIIhbF1fgLkoFN6+++Tx8LRwg4VikrklMjxxOVIGBga8ot45z8FeA+ZQAMCNTU1mH0tHuXVNTj34TJE7t4hlhn6zgr4TXkUK7p7wMPMhMkxASagBQKdzkEnddhFixZhz549ePjhh9uE6MiRI6AoPLV02bZtW5PbqN2btf6C2nXQh0F2j3K2sr6xg96mw8wrMQEm0ASBY7mF2JycpV6it0yK131cIDEk3V62zkqAlJmnB8fB8Pg5lH+1E44BfZEbGiJ2t2r4QJjOmYZV/l5wMTXurAh4v5gAE6hHgJzzuaEJKFFUo7KkGH88OAEOFYYwMTJGqZkRRu4/iAedbTHF2ZbZMQEmoAUCnc5B79Wrl+jLSlFtioi31SiiTttITU1tchO3IoKet/oZGPcezg56Ww8mr9cmAhXV1bhSUILKmhoMtraASb0uB23aKK+kFwTyKqvwUlgiynKyceiZR9Fr+mx0e/hxvOrtjIHWFnqxDzzIthHILK/Eu5fiYPP7ScTt/wVdH3gEMb/sERsztbVDr1fnI8hbis96ecPaWDvCqm0bKa/FBG4tgfLqavyUkSf0GfzMzTDJyRoWRka3dhAd9GtXC0vwSVw6kv4+jKuL3sBYv+HCOSczkEjQ4/33kehmhq84zb2DjhD/bGcj0Kkc9PPnz2PIkCGYN28eNmzYcFPHilqsUYo8ice11rQNlR301h4BXv5mCRRUKfBxXBriS5Xnv6OJBO/6uUMm+W+8jNwsP31ff1FkMpLLKnDs1efFCxnZU1djxN9f9/bhyRp9P8BNjJ9exPefiEP+wUNIOXEUvZ6ZjdBtyt7oZN73TEDN+DuQbG8iImYPOtmwsnsnPh94124Q+CwhA+fyi1FZXARjC5n4YlufLjAy6PxZRaq2i9/174b7et4Fc2MzGFtYwNDEFOV5uRj42pvIc7PFC6P8OLuGLxomoAUC2vYlO7QG/YUXXhCO+dmzZ4WjfjPWt29f5OXlISkpqdWb0TZUdtBbfQh4hZsksCc9F79myhG6fTNqqhUImDEHDznb4oH/UPoaZRCEFJaipLoa/SzNUQNAZmQIw07+MpZeXokFEUkoSknGLxNuhwEMUIMaodRrcH3ft/buwqnuN3mN6erqf2flI/hEIuL27UXW1cvo/+J8XPnskzrD9Rk/GUH9XGDTKwBzPR0xwtZSV3eHx8UEtEJAlVWUfvY0/nxuGnpOn4XA1xbhdjtLzPJw1Mpv6PJGSJeiPF+O6KnT0NOxKxz7B8J16AgEbVyvHvZtb3+AaF8LrO/f+cXiSLsqMjISlLWrei7q8vHjsekfAW37kh3moFOk283NDU5OTggNDW1wJOhiiomJgbW1NVxdXcX3xcXFovd5/VT43bt3Y+rUqZgzZw42btzY6qOqbajyT6dD0mcEp7i3+kjwCm0hkF1RhVfDE1Euz8Oe2weJTTxxKRKGRkb4rzhmlMo4KyReIz5/CzMs9nXttA/l37Pk2JWWiwOjbkN/Bz84WzqA6pJz7cxQNjIQ3o88hnleThhmo4wgsXUeApTe/vbVePRKLkP4ji3Ij4/FkMXLEfL1RpSkp8LCzR3FqSnqHTbcthowNMQXvbxhydk1nedE4D2pQ4Dqr58OjhOfnV46H9mHj8DI0Agjt38Pe39/fNbTq1Nnl2VVVOK18CQYng9C1Wdb4DZ8NDzHjhM8zr67RM0qYOZcFPT2hYevLeZ6OnXqSdzHH38cu3btwocffih0r9iYgLYJaNuX7DAH/aeffsJDDz0EEol74403GnCKj49Hly5d6gi/XblyBRMnTsQDDzyAbt26wcTEBGfOnMF3330HT09PEYlvrk2bpgOibajsoGv7tOft1SeQWlaBNyKT1R9XV1Yi9refcXb5YhgbSTBs1TrxQB5lK8Nznk6dHuCmpEyczCvCqcWvI+73XzBp7wEk7d4F73GTYDU4EL1kUizyVU70dTZbn5CB8PQC5Mx+GRJDiVDtrqmuFrtJ/zbd9DEqTI1YybuzHXgAIYUl2HolCV7ppbi0ZiWMTEzQ/6UFUJSVoSw3GxIzM1z5fI16z/u9uhBJ3ZxQbmWM17q4wN9C2gmp8C791wn8linHD+m5yPjjIKo27YSrpTJi7jhqNAwfnYwZ/T3Rx9K802J6KyoZ2bmlkD/3KgwNDOEyeCi8x09u4KDbdPNHj6lP4WJXCwTayvCil1OnnMim4J5Mppyg7tWzF66FXuu0x553rOMIaNuX7DAH/f777xc145SSTpH0+qbJQScxuddffx1Uu05icBRlJ8d88uTJWLJkCRwcHNp0ZLQNVTjofUdCdvdsjePRKxX3oiLg8cd1rs1asUIBeaUCbqbGiCopx8akTChqgNzKKnhLTeBsYoxHXOw6ZW1VmaJatE5RlJcj89J5OPYbiAur3oP09BX0cvITkQIy2X0TUPLQ3XjLzx3dLTp3H2RK5zPJyUfKnJdgb15Xlbbbq68hJcADXw7s2ikjBJ9Ep8IgOBuX318mHLQuE+5D1I+71PceSutM9LXHHd0cO23JQ1V1DQoVClhJjOrUl5I4FL2sXygoVvPoaymFuZERJjlaw1vadmHSNj1stLhSYZUC80IT0CWjHPJtO5FzLViksHrdM6HOr9QoFLi46n3RJ91r7DiU5eXB++7xMHKxwv+N8IWhMetUaPGw8KY6mABFz+eEJqCoqBjFM16CzOSGSKZ9r97we/hxBPR2wl3dnTt4pO3z8+L9ICQOfpcTEblWOTln07Ubejz5jPh38j9/IuXEP+ofNzQ2hsvUx5AxNhDzfV3RtxNOXOz74Wd8vvgT2JvboLqmGonyNMx++wXMnD2rfQ4Cb/U/SUDbvmSHOei6dPS0DZUcdON+o2AxVvPF31YHnZzS4qpqON3Kdjk66KAfyJLj+7TcOqdQdkgQcq4FofujT0KSXwQTqQWszY3xQU/PTieQdTKvEJuSsnDx0w8R9s3XMHdywVj7XnVeRAiOiZU1Bry8AGZ9HPFc984ZPab9LFVU47ULMXD++zKidu9scGvxHjcRDsNGYMJoH/jbdb407wXHIuAcn4PLa1bCPqAvuj7wsHgBK4iLQWFSouDRd86LiB/og/cHdIG9if4reVMKZ0RxGXpaSJFeUYmVsWnq4z7QyhzT3BwQV1oOyi5QGWWZVCsUMDI1FVEiyqigzAp9tY2JmTglL4LLT8eQ+svPkJhboM/seTCxtmmwSzkhQYj+abf68y6THoDTwMF4orsLHHp3/npcfT3GPO7WE0gsLceSqBRYb92HvH+UjmjvWc8j7JstoqtBnzkvwNncBPfe6YvUyio4mEhgbyzpFFolGeWVWByVDNOiKki3/giqvydzH3k7PMbco4RZUyMyrLIuX0TcgX3iIzM7ewS89DqsBjphllfnyrirLqnE3lXfYN8v+2BsbCwCeyrbceYnGEr1/3nY+quE12gPAtr2JdlBB6BtqPJPnoZx/9Fac9BpRnhPRh72Z8qF8FWWvaHUAAAgAElEQVRPCzNRU3o0txCUyDrBwRpmRobtcb4BOuagq2qr8mOjxcOHWknlXgtG8jvvwcHADG5Wyllxck4pnXNYT2fc5t+5Hjhr49NxsaAEp+c8C5PoJAx0D6hz7Ls/9pRgUxAfi77PvwQjVxdMHeMHD1nniqLTuUATNefzi+GfUorSU2dFmymVSe0dUJqTDZHG9/g09HO3we23ebbPddIBW6Uyh9+y5MgNykLBP8eQ+OcfcB0+Cl5j7xWjKc3OQtAXa5XXg6UlBrz6JnxGeuI+p4YOXAcMv80/uS8zD3vT8+qsX1VWhrj9P8Nl6AhYenipv6PPLz83C66F1XCzVN4HiE/5/XfhxUAfdDHXvwg6nffRJeX4IjETNTEJqFmujJJ53H4X3G8fo5FrUXISrm25oc+iOk8ecLKBe18nGFnpH4c2n0C8Yqcm8GdOAf64loaKjduRExoiBFNlnl4I+WqDuCcOWrgUBkYS9OrthO1lyswaiYGBcNJ9pCZ4wVs/I+uURbQoKhkkGto9sQgpX21GYUI8uky8H479B4p9HmZtgSuFpSi9XgJVVVyMyB92ioncwNcXwcLZFs+N7QEDw86jcl8anottn32Fk6dOYcjgwTh3/rw45mZmZli7Zg2k3ewgcdDfidpOfTHr2c5p25dkB10PHHRyQCgSRBHi4rRU9Qt47XOX+l6TGFaglYV2I2Q65qCviU/HpYIS/Dh2GBS5eXCWOWCUj1IYrb6RWBKJCj43qiuMHTtPvdm70akoSC1EzlsfoCJf3mC/B7/5DnJCgxH7608iWhi4YCmybE3w/l099ex21/hw40rK8Xa0UvzKsLwSLt8dQn50FAqTEtQrUdQgNzwMFYX5CJy/BKYSCWbf1R1GViZ6zYEc87UJGUgrr4REUYMBcSVq4Z/6TtqFle9CUVEu9nfIkuWwtLXAs2O76+3+J5SWY2lUCvLjYnDk2cdFZMz/yRm4vO5j4YAaGRhh5NovUJqVKSbvTP86g7Jvfqizv5533g23UXfgEWdbOPVzgpFMf86Ha0WlWH7iLGL+PAz/J5+B67EgpG3/RuzfoAVLYSTV/KJZo6jCuQ/eUXOw8euOHk9MR4BMipHdHWHqY6235wQPnAmoCFAwY+blGPRLKEXw52tQUVSIQQvfAgwMkHDoANLPnhJq5r73TUG2pQRxzqZI//cUrIylsOnbHx7WUiz3c9dLoH/nFGBrSjaSv94Kz7MRQoeCIuP9XnhNvT80IWdnLAG1Zd2boZzkpIndtNMnEPDsXNh6emLmsC4wcekcmWbV5VUovJiOxYsXo7S0FCtXrMC/Z88i9No1BIeEYPny5UKEWtrXAYZmHEnXyxNfhwbNDno7HAxtQxUR9AG3w+KumRpH29oU96VRyUgorcDOfl3F9h76+6y48e6fMh75sVGY/MthWHdRfkf2mo8LBlhpySEtLgamTtWZGnSqNZaUVSL+8enqiFhjp0Tf51+G1NEJs7o6w7xf54iiXyooxv/CU9EzoRjnVywTKs0mllaw9PSGzN0D5XI57Pv0Eylsl1avRFVJseiLbOnlg+fu6Q4zWeeIlFF6L6X6kygczlzEcK8BDU4D73ETUJqdjcyL50BqtTJ3Tzzb2x2y7nbtcBe5NZskB/WD2DSR1l9ZUoy4t5dj4l1TEfG90kmjyRhJLSetPDcbV79YJ86HgJnPw9rdA8+O7gqpg5buD7dmt9W/ooqe7394AiriE2FiZIzRW3aifNsuyFJyYCpROttphVkY8OobSN+8Rfyf7pdluTni3+6j74THHWPxpKsdzIyMYNbLTm+cdLr/HZr+CLKuXMLk196D1T8XxLH1vf8hoUXRlCmF43IQuXsnDCQS9H/xdbH4LD8XmPflNPdbfCrzz2mZAJUAfhCThqq0IpifuISovbtg5x+Abo8+IX6pLCcbVzcos01ISNHUxgaxTqbIXvoeJJUKDHx9EdzszDFlmA8MTfVLl4EmJhZGJiNFXoCKma+r74OqiTgVapWDTv8nvZ5fMuUi2y7h0O/o9sgTsOsZgGldnWGr5+9Lp06dglwuxz2BdyD2dBjeffddDB8+XIhOk3355Zcg0enAwEA899xzMHY250lKLV+P/8XNaduX5Ah6e0XQteSgq9qFVKSl4/KTT0BmagGniZPgNHQ4clethbWZJWz7D0CusyWOn/4dIz9ej272tnjXz107apw65qDPuBwDv6upCF37cYPr37prN+THRKk/pwiaXa/eeMrVDjYDnPV+hpRaZ00PjoNPnBxZW7aJ9DWngYPQZdKDGu+FeRFh4mVcFVW9x8ce/gMbCjLq4430jYgkxCanIHras0IYr7aZO7uiJCNN6BFQrXHE7p1wH3UnPO4cizEOVggY4QmD9ioJaWeYnyVk4Fx+MY6+PAcFZ/7FJP87xS/SftIkDPX6dTCWwMPMWKQykuWEXEX0Tz+AavFdbhuOST4O8B2on5oElEkUnCZHyqx5sJXcEH+SmJujqqSkUfrkjF757FPxvccdd8F99Bg84+YAyuQ0khlDGtA2gdF2Ptx1Nn9GXoRNcRmIeGIa7GpMYGNmpf7e/6kZsPatex0EeUtRZWiAgXF1uYTv3IaKgnz0mfuiUPl/1t0B5gOcYGiiX05JbTjyyirsSc/D8bxC8fHCLi6dWqX7Vp53+vBbJIy2PCYVyaXl6BNXjKvLloph93jiadj49YC5kSFKFNVIO3UciX8dgueYe+A28naknT6JxD8PislbmsTtZykVWYjm/R1haKo/EVUqe5kfmgj7A6eR8cMe9SGjSTuavFPZ/QGucLWSoiKxANSa9Nu0XOSGhSBqz/fwvncSXIYMwxQnWzh6WMLYTaaX9wR6ZzY0VJZ8pp2OQdjFEGzevBnUZu2OO+4Qny9YsAAFBQXi36+99ip69g2Aef/OEcTRh+u1s46RHfR2OLLahqrNCDrdeJdeiYfN/hNI/vVGfS05HColTtvuPZEXGSbIKO4bC7MHJ2JFL0+4mmohdVOHHHS68S75JwLml8MRtkMZGes57VkkH/1LpDZTZCzl+A11UpVjOtnRGh7+Dnqd5k77Tsrt5YpquH79q3o/VQ/V2pfFYy522J2eK1LcaHbc1r8XzJ1d0EcmxegR3jCyMG6Hq+jWbnL2xWi4X4hB1Jcb6vyw86ChwgGjiRr73n2hqKjAxVXvQeblg17TZ6G7uRnGDvLQy5qz0KJSrIhNg1FVNYqefkEdJVEBUE3WDLeRoYeFmUh3JCvPy8OVzz6BfUAf+D00FUOtLTBohJdeTlgtCUmA8dFgRG3+Hyy9fcQkVXNmLLPEwFffQElmBlKO/QXf+x6CrYUFHna5ofYvDbDX+Sg6TU5S5kzwB8tBgne1TZU50UVqgn6W5thRWoRwZ2W2jKxUgduzFMisuL5OTY1I+VUZOeim3lYwdrkx4dEcU136nu6NlFVCooHFGWmwcFZOPk10tIaZoSFMDA0wwkYGa2P9cbjag29RlQIHs/ORV1klzpHbbDpHGjOxOpFbiP8lZ0G++ydY/X5cje+2t94X5/rTrvb4Ji0HlUWFIrPMrkdPOPQbiMgfvhXL0sQlTWCOtpXBz1yp1aIP9wQaJ008zLkWL7o5lPz0G9LOnIS1b1dUFBSIMpjaopEPj/WDm5UUZdF5qMopwzep2ZAnJeLalk1wHTYSXnePx0gbmej6QhN2Zj3t9O45UZici6ljp4gJTFtbWwwdOhQHDx7E/PnzRXtmsg/efx+JSUnq84RaPk+c/iBMvW5MerbHNcjb7NwEtO1LcgS9vSLoA2+HxZibT3G/IC/CXycTkLlvH9LP/6vx7DaUSFBdVSW+cx50Gzwn3Yd4dynWDa4bUWnTpaFDDvq+jFxE/5uKrGNHkfT3YTj07Y+uDzwiHFF5VATMXVwQ9OV69W6qZo/vsLNEjy524iVUX+2svAifJ2bC8beTyNizV70bPZ+eCSsfX/X/e8ukGGJtgRN5haL9nMosjQzRw0KKwO4Oev8QokyCFX+EoTokAuHfblXvI9UaGpk1FMKL+WUPTGRWoi+8o4kED3ZzhlkP/UpzV2XSmOSXwHzDt8gNb9jHlVL6XW4bgWE2MiEkWVZdje+o20FNDS6v/QgGhkbo//IC+JmbYmxfN5i46dcLOjkYq45GwuD0RZER0GXC/ci4eBYlGeniHPC6a5y4D5JQHLUdpP2WuXmIyFhth5SWHWNnJQShVEYiQWZddVc8TzU5aROTJtJ0qaylolAZAQp8fTEkFkrn+nEXO0iNDJHqK8PRslKhTE376lUBfPF3ZIPbH7WpHOdgDSNzCcz76Gea+5WCEnwan47Ib7YgYdNGFFeU4u79h9WOOu20zMgQb/u5aWfSWg8fInTPXB6ditjSG8+E6e4OGGuvv8/E2odhc3IWjuUWomjqHJib3NBhuO3tD8RiNAl1MCsfaRWVuLLuY5Tny0XHC9L1cejTHz4T7hN6LVT2Yno9+mogMYR5XwcY6Hgbwl8z5fg9Pgvuf19BxK4d4l43+I23YWhSN0AjkUrw/L3+ItuqproGxefTsSUlW2TTXF67SnBS8XrI2RbWEmVGjUWgM4iFPlhlVgkyLiXgjTfeUA9X7G9NDdasXg3z6/fJDz/8EAkJN/RqaOFNmzaJSUp9fk9syzG6cOGCYDFlyhTtZN22ZRCdZB120NvhQGobqoigD7wDFmOe1Tja1tSgv/BvFLqnlgkBpOLUFHSf+hQivlPWm5JRVIz639Y2/2kzYNG1Gx662w/eN9v/WkccdGof8vbVePSIyEbk3u9F5Kz/i/NhansjClZbtZpuyjIvb/SaPhsDLc0R6G4DaS/7djh7bs0mt6VkIywqG8mvLFT/IL1QDHz1TfWDmCLk1GLKyMAASWUVIqLkbmYCD1NjWF5/2BqYGMG8n6Neq7TmF5Zj+5FIZAddATnf4gX8eoqiCg51NjiQnd/g4JgaGOAJN3vIBjrDwFg/XjpoJ/am5+JQci7sv/tDTE6pzP+J6Qj/brv4r6rOPtDKHAOcrFBdWiUU7oOLSkU7voKEOJBwYhcLKcbYW+ldGmd0cSl+OxKNzJPKtNQeU6fBprs/kv85gtKsLPg99KhQKia79OkKVBYXCafddcRo8Zm3mQksjAzRUyZVv3yqONL9gtK8dfWcyKmoxPaDESgICVamo94zAeYurjCzc4CJldLJouyQkbYySOzNYOZ3476o2set4akoDFXW4ZPR2f+Eq526DSXdH40stZB1dWtuiepfWRWXBnlMHuJeXwhDA+U17dhvAKQenji4fS1MBw9A92XLMNrOCrM99XMS4maRXi4ower4dDGhGfzVF5j88yGY2dphrb+XdkVlb3agbVhfUVODZ4Ji4Z1chLglb9XZQm0HnUqDQopKRalLeZ6yTauRialSRM7QAPfaW8HNrO75r+u1yWLfg+Pgn1CE0LeUaf0Wrm7oPfv/6nCQGAC393BGQK8badzkzG49FYcyhQJn31OuO2TRchgYSzDewRqutdr56kMJDE06lFzOxM97fxIR89oms7DAp6tXqz86cOAA9u1TtphT2YYNG4SosNTfDkbWnUOrp6nL6ddff8WPO39A8sUYWJpa4Pn/m4cxj9wLYyf91Kdpw61D66to25fkCHp7RNA/ngbjwDtv2kEnp3TT0SiYp+YIlWIr7y6ixjTh4G/qaHq//3tVLXyiOttMrW1EpMzLWYYHRnS5uZNQRxz0HanZuBqdg5I1G4WCs3iYLHkXBkY36iarKypwfuVyEVkvTklGZUkJAucvhpfUFHc7WsOcnDIj/WsfQpHDV67EoW9iqVqtm/Z/0JtvixcMsoedbWF13Qk387dDWXjdPvG1TwIzPxtI7PW3rUhySgF+OpsgUvkSjxxE98eehG23nuIlS2UUMTmUnY+U8hupwN3MTTHcxhJ0CugTA0phfJ5ewiJyEbLivQYvoIWJ8UL8S4iEGRiICanBXR0gcTbHydMJuFpYiugfd4to0cDX3kRXB3sROaMURlKv1Yd6/IrqaoSmFeD42SQkHj6AtH9Poc/s/4O5q2ZNBYqqp548ii6THxTXyDh7KzFZ1ZSZ+lrrbBnMtawC/HUiAclH/xTlLTQJa92lboaUSgDKYrCLxgm4wioFfv07BjlF5TAzMMBwW8s6WQTERh9exOsfw/dORMEkLEndUlDTMR7w8gKk+jnh05HdO32UiOqxKdvqamFd7QGD6hqcGHMHbMwsEfDKfEjHjEaZiSE+6OYunpH6alTKExybA+ewlAbnQG0HnUqE/s0vVkfQVftLy6gyz+ozoPcF8wG6+95Ayu0/RabDcu8RUVtPFjDjOcg8vXGfo42YiMyrqoKdRALL3g51JuCqy6qw7VAEihTVOPfeUhFlVpUFUh26Ta3MAUNz0umw1+mJfUVBOUrDcrF3714cOXIEEyZMADniZPfff7/4v8poX//991/RE/3bb5VlDi+++CJ69+4tSgClvXVfk+Rmrte4oCi88OjsOjomQ4YMwcyZM0VmnYmn5c1s/j+7Ljvo7XDotQ1VrgUHXd0uJK4Ekbt2Qh4VDt/JU+A4IFCo9uYEXxGiUKa2dsiPjoQ8JgpuI0aL+iqV82YlleKZsd1vruZYBxz02JJyLI9MRmB0Mc6+r5zpJVM9fGufEjUKhXDa6SWeFM1JIEUmleJxSl3T4RdwTac1OSXZFVWgFLa08BwYXgxC5G7lw6TX07Ng6aOcfPEyMxEOF4ldmXazFY5XaWgOFIUVGq8Wia0ZzLo3jLC1w6Wl9U3Sy+fh4FTEx+bdaA9zXaFd9WOUtjvRxwEGZkaITMpHUVU1nE0lcDa5UXuvT6lsJAyXEpuHnBWfijpqlZnZO4Am6OobpSc6dbcTzubfx+MQkl2E9HNnUBgfB+97J8LPyVGd2mriLoOJh+4+jCk1d3V8hnA2XPMq4JFTiagfvhMp/tS3V2JRN02fIj+RxWWIqZXKq4os00SEocwYivwbab612UlsTHW29OFkdBYuBaUj+sddImNqwCtvqCPnqn2gSanmJp4qkgpRlFygjprXP3eMbEwh1ZPyj6jiMvxOraKuZqMgIgIRu25kltXfL5XK/aTBnvD11N1Shpu9YdJ7wyvhSUKhm94JKH2ZJvZl1nbwi8xG6AplyjeZyCx5bDLyzY3gJzPDUCdrUYNN2ST6YjR5OfdaPPyPReDa11+KYTsFDhGdO2q/I8wZ6IXYpHwcycpH+M6tyI+NFt/7TXlMaJXc62ANem5osuauqY5k9VpYApwj8hC07G0xDJ/xk+E8eKj4N90PVEYRYYoM17cjR2MRllusnvj3GjsOrsNH10n1V61j6mMFY2fd1amoSClCRXIh1q1bh9DQUKxevRoW11PamzpG7y5fjpTUVLGIypE37+MAmpToTEaq9Tu378CiufNx6eAZbNu2rc7ueXt7Y+rUqbC0soT32F56JZKoK8dJ274kR9DbLYI+BhZjZmg8b8qiz6Ni5iRYHbvxsl1/wY9i01AYJ0fFvkNIOf63aIsT+NoijTW2tddVRVh6PPYU7Hv0xDR/V1j1uonZQFJGfuyxDmuzllhajiVRKfBML0Hlvj+QekopAENqoySQZm9sJFRXKVJ6zKAS1iUKGCtqGnB/1MUWNvbmOvsCXn/A9PL5bozyoSGpqkHA1VSRRUHmNuJ2eN51j/g3iR+RoIuknhJ1VXYpymIa9kindURUgLIJakWcdeUG19Q4aKLmnegUIYbjUFiF2H0/IuvqpTqlDsYGwN0O1ug6whOKvDKURWtmoC/K3cRj1sVo9I4vxvn3lOmbpNhNImHUVo8E0Gqb+/WaYlKkpVZBB4NSEBVdN5vC09QEdzso06J1veThj6x8/JCUhYqDf8M+PFn0Lw75aoMQQApcsATeUlPcaWclFIlNDA1FdgRZdHEZChQKUXOsStWkF0wDUwnKIhrPLtHVesvDV1MQHpOL0K3/Q1FKEoYsfrdOxgg5F5N7uzVbP0mTdjR515RRCYyu9wSmSZj3Y1IhK1HAP7VMTEAl/LEf1LnD2q8bLqx8V+wiOSzxB38T/6YJ3WoD4NFx3eFmrr8R48aOHTnnNJkVLC+GzeUoJK1eA4mhESoUVRi16D0UJScqa5RrGWk0UJYJiYha2Jjh2VFddbbMQ9N+hxWVYse5BFT99DtSTh4Ti1C3juR//lQf8xoD4KVJAShKLcSOS4koKyxC2tlTopODobExpIaGYgK/MdPVNPeciiosuxALl7PhCN2+WQy//wuvwdTOXt2hgj6jiVoTL0uNdeT/hKQhODJb7aD73DsJzkOG1XHuVVzoeSLtq7vlcXRfv3jsHL744gvY2dpixUplsKq+UT19TVW1+uOioiK8/rqy5SQZ1aKTNZaJ1OiJosNfULnbB//3FsIvXYO1tTXs7e0RGxuLF154AX369MF7772H5ORksQc2Njb46KOP9DKbqqMPATvo7XAEtA1VvuopGA+6q00OOkUIE8sqsDY4CX4xubj4sXLGW9Uiqfbu07soOaemhgY4LS8CuaX0ECZFThKLI+GTSY7W8B7g0naF4g520LckZyEoPg/F732iFoPq/8KrMLWxFy+opEgdYGkO80AnkapbllOKb47HwMZYAicT+mMMJ1OJUPMlh1Qf0tyrqmsw62osbFPzULTvANy9u8PIzBThO5SCaH5THoV9737qljD0GfUxNpTeUCkW9ViXMlCjYbKClpf2tIeRlf7Um5Ly8EthiSINz3Lzj3B28ULW5QuQR0di8JvviDp8EgN0MTGGfT8nkTVSXa5AyZVMzQ9pqjkm8Rs9KHl4688wWCfnCqE3MkrXra3MW3sHqXWYqZMUpr7KKOG+5BzEnU+FYa05K9IkuMfBWr0aZVNQVoUu2oxLMQhILsXltxeL4VFqd8T3O4QAGNXc96LIn7Uyik6RP4oAkzhclbxulFyVtqe8LjJRo7jxglZ/v8262UJip1s8fj0Zh/jMIlE/W6OoEhH02nZPN0f0CGh+0k3s/9Us1FQoGj3cJl5WMHHV3UgZDfzTuHSkJeWjassulOVkQerkIqKmqrKH4E2fiedF37kvIWijUji0TnRxXA/ILPTn/teSa5Mms75LzYbPPyGI2fZ1nVXIaTUyMUHCIWXKb22jZwk9U+hZ2tvJSmi16MN9kfbhcGoewv9NFroM1C6MjIRjVdokNCmTZmOMFWP8hVN27EQ8gvKK1btPtdlTXW7oMGjiTM9Ver7qmp3LK8Q/pxKR+dtvoluLSjC2drq+WQ9bSGwav5dll1Rgx+FIFMfGIPXkMdEL3UVmgclOmrNMKNuKsq50zWoqFSi+lImVK1ciLi4ODz/8MO6+++4Gw6RnhLS3PaorFCiLyFN/f/z4cXWq+1tvvQUPD2WnF10WDm3pMaiprEZJUBY+XfUJIiIi6qy2ZMkSeHl5YcuWLTh79qz6O5qkMDQjFX97vWy111I22l5O274kR9DbI4LeRgf9Yn4xPo9Nh2WpAn7p5Ug7fRyJfx6CiaUl+r+8UPSsJQck0NoceZUK4YDa1WodQ3XaFYpqhPzvc9j26AmPO+/GGDtL+LlZtz2luYMd9PcvxkEWnYfzK5aJa4kiaI79A8W/VQ8icjTJ4SQT6qSXMoBGHNPmHljavmBbuz1yQKcHxaJHahnyDxxWt9JTbcfYwgID6FyQSMSLBfV3tRhEjmZDwbOyyDxU5ZVpHIK+1RmRSB7VGZZ/swd555Xpi9TvvFyei0FvvA1V5Li+c0UOOjnqmkwfJimE+uy+ayijVjhfb4TU0Ql9n3+50dPquT4eMO1irY6W/JKRh6PRWfDNuOGwqlipNqLLJQ/vHgqFdUEFzn2gTOEkQTSKnjv2HQDfBx4WE5TUu1gIH0oM1ftdJS+DIl9Z4kHOdm3xs/JYOSqzlD3iGzNKCaVzSVccld2HIpFeWCo0NlSTE2LfDACfbvYYH+Da4tTkprJraJu176etvX/diuUrq2vw9ukoOCXmK9X6VWZggEELloosM9IjIUV/ibk5on/ajZyQILEUKXf7PfQY+jlaYvRwb505vjfLje4TL4cmwPtSmhBIVJnTwMHIvHRe/NemWw/R7aS+Bcx8XmTjkGCgaEuno05Y/XHTPi/+JwKu8koEbViD0pxsWPt2g+/kB9TZZuSgX/A1xzf9u4rVKYMk5moG8iuq4GBsBMfrZU90nTc2mU3rWeigqOjv0ZmICcpQp+yrJqpVqe0tzRL7JjINOaHZMKoGSNGHMpK8anW4qM1dBDlITFPHVN2pdKcwNhuvz58PZ2dnkJNd38g5N+lipdYZqZ9N9MknnyAqKkqspoqiU7cXKn3SZ6O0f0r/JyaZmXUDFmvXroVUKsWRI4exd++P6t38+OOPYWVlJfZd3zredOSxYge9Hei3CurkycBvypS5xqwtEXSqN154JhouURlI+v03uA4dLlSqKYW377xXIHVwFK2TqIVSY7YvMw85lXWdEZoV7yWTgoTDJG1RpuxAB50ewGv/CENFQqqIgqheymn/p7vZC7Vysvo1Yqoen41xIpVjihJRrbauGSmvf30hHuYnL4uoQH3zf3IGrLsqxaGaqzmtzChGebyyFVN90zchlJVnY2AanYMLH79fZ1dUirWU4jve0Qbmg53rOCpNnQu6Xn9NO3oiNQ+X/01Gbtg1RO35TpR1UHmHykI9zFBlaADTqhpUSAzw1aC6wmF0T9ibngefzHI4FihbMdZ30GEA4eAamupWn+jKSgW++C0UZdlZDcSfXIePgtfYezGaSjzsZWL8LbWq/PImRRRV29GVSazKCgU2/x6K/PR0UGRY1e+e2in2tJTCapBmUbimeJRF5aEqV/PkHZ0PwiHRsZdw1f6EFZTgj79jIA+6KtrtqUzq4IS+816GjcRItMrKqqgE5UnkhoYgau+Ne6lKXHRaV2fYUMquHtVcN3ZMKd15zYkoGJ28iOiflbOFHcEAACAASURBVExUnS0SDv0uIqz1jdLbuz36BEysrEECmqNsleUy5IRRKjOlNOuyUWeL1NMpYjKGJq6o3ShFkatKS9SZh1abPkWR1Ag7+t5oRVpdUimei9UlyvuhxMEMxm4ycU+gVGBNpotZNd+ciYM8tRCX1nwEarXb/6X5ooXm6OvH0YLuCy3IEKP3rCt5xSjMLoGvsTHsy6qhKNCsX0NsSOWbJoF1yUquZuLy2Usivf2++yZj4sRJdYZHYybdmTpZhjU1KA3KBonlka1csQJx8fHifrBx40bxmT5pcjR2PCh6fvXcJXz++Qb1IjNmzBAOeK9evcRnYWFhIGddZV18fPDmokXiv7p47uvSuVd7LK3yJVuwExxBb20EvYUOumTwWMjufEbjISiLOouKWfepa9BJCGnOxRj0TixFytG/RM15bas9M0oPT2N3mfpBQjNchpTOW1KF384kIKm87o2VWm8NtrYQEaQ2tRkrLQUefbRDatDzSyqw/Y8I5F4LRtSPu0RrIepxXFuRWZOjWZlZgvK4hi22ajOlGktS6mzJA6wF15HWFtkYk44yuqGu+UhECslch40UiuVkqskaEoZrTpm+urwKJVeyNI9Nx1/Caw+aHJQNv4eiOCEeodu+qrM/FCHqMukBkU0x1Nm6gaPW1CQFicCQGIyuWkpZBdaci4N7cgHoJZsm6ygF0a5ngNBeSDCqQZhHXTX+2i+itF8kMLgnPReG1TUYEFciUt1pMoNEkWqb6Pl7PQqtKzwysoux+3gs8iJC1eKIqrH1nfMipM4umOhoDXdXS41txRrbD1U7ntp1iJqWpawUES1qwUtuezKLzSzE/pPxIhIat/8XtVgoiQHaWpm16Ryml/Lic8r+8ZqMUjspxVMX7dfwdMSHZiF85xbkxyo7epCRSKrnXeMw8rouB1V17ErLRUlVFXKCryJm316xnOoaouyDad1dIfPXn5Tuxo5HSE4h/j4WL1oOppw4Ks4RyqKjDAISlT3/4TvibzKJuQVqqqrQZ+5LMLWxQRepidAyIQ0Hlelq3bVqfMUKBZadjIZrYh4ufvqh+Nhl8FB4j5+MqtJSXPz4fVQoKmG283PR2aL+fVETx/L4fFRm1FW+V/PQsf7Y9M64/mAYKlMzcOXzNULojgTvVAGZmylToftj6bVs9QSGxvtDWwM+7XBDoft48cUMnDhxAjt37sSsWbMwePBg9S81lTUpJmtJk6QGWLFiBeLj49GvXz/MmzdPub4evSdpQktZAiXXsjF37lzxtbu7u5jA6N9/QJ3F69fh05cbv/xSZO0ayUyEgj9b8wTYQW+eUauXaBXUFjjoeR89CeMhd7fYQT8jL8Kp4/EoCQtHxPcNlWgpTYtS2yc4WgsRIJoJ1GQ/nktASnIB3VNEqpqFkQF8zc2E80LWppt2Bzro24KTURCVh/gDvyLjwlmoUvGedrOHxMAAhuYSmPdpGDmjGVGqs2zOaDaVMgt0KZK+4WQMFJkluPDRu1CUl4Mi5paeXri8dhWqykoxeNEyIWxzv5MN3PzsGj0XVPveVIq3vqRvxSTL8fu5JKSdPiGU26nMIfbXn8QukiiUXa/e6G8pxRAvuwbpWBQRoRnkxkxXBbHOZuTjyKUUWJUqhPgViWCR0TVg4+EBB2NjXLIAUuzr1tHWfxHdnynH7nSlKJoqiq66l9RnQg9is552OiMeGBaTgyNXU5F26rhoIURt5CoK89Ht0SfV7QUpi6Spe2Jjx70lk3i0ri7U55+NzMTZkAzE7f8ZmZcuoM+cF2Hv6iaErW6mTrI8Nh/UC1mTURtGykzSRdt5PAa5WcUivZ1aipJCe3Faqjg/LEyMMcXJBuZ2Uhh7WOLa+RQczS0Uu5ETciPi7nHHXUIkjKLtj3RzFs8BfY6kHwtNx9XwLET98C1yw0PVHQ6onV5ZTQ0yzv97QyzvrfeF00o2yMoCfS01T8TospL11shUFIbkqFsuKp8FU2HXqw8UZWXi3Pgj8jgm/HtJ7GdLHPSqnNJGRUV1bTI3pbAMPx6JQtaVi+JZ2GXi/UK9Xt1q8SZT8qnTRWkTrVrbHPBphxuKKiOKep//8ssveOWVV9CzZ0/xS5QFQoKpTVllejHKEwqwZs0ahIeHQ9VuTLWOrmRStQUdTbQkhMcJETiyTz/9FDKZ5izcoKAgODk5iTZ1wcHBWL58OVxcXMR6FMyiYBhb0wRa5Uu2ACZH0Nshgt5aB/2ls9HwSykVAkDleXUVhgNmzIHM0wt321vBy9y0SZGz3OJyVIXkQAoD4aRrslan9Xagg776WBQM0wqEOBZFfALnL4HMxBiPuSgVV5tK4aKUp+qyxoWQarOhLATKSiAHpSON9nHPoUikFZbg/IrlkHl4odczs8WQqH0cKXdTfWUPczOMcrFu9sFD65GSO9WcajIhmNLXQecVmw9eSkZUfJ66l/eAVxaiNCcLNZVVsOnuL3Ztmqs9LEjcSoOADTnojaUutmnSqh1PEjoHrhWU4MDxONSkZSJy1w7R41xlgxa+BRMzM1E7eczBCAXmddNQ67+IHsiS4/s05T3FvEyBgOQy9WSfpt2g1EVKB9QF+/t8EkKS5DfU+kkc0u5GxsNtJGplaQ5pf8c2TbKp2vI0ta/GjjcE9zqKyf5T8YjNKETwps9RnpuDwIVL4So1ExO21K+WXiDbYqRPQToVGu8NlD0w0ElnJmtUY6TrY+v+MOTm5InngqqmXPX9ZEdrcW2YdrWBsYMUFWnFyIjJw8+ZeeIeenXDatF+k6z/i6+LNqWPUCaCkwVM/Wz0ykkvqlLgl0w54krLYRiZB8vSalGLXVlaisD5i+FjZiJK4r5Pz0VJeiqC/6dMcVW1J73X3gpuZo0/83TJCat9jgq1+j8jYJhViMvrVomJbDv/XiIzgiYeyEE/tOw1HIo6iaeuKjMsWuKgk3BYyWXNoqK0DV2qQw9OysM/55OR9NdhpJ46BnpPtPHywtNuDiKNWxuidk21ahXPkwFObbrvtuVe1dQ6qvv43j17cOTPP7F06VJ4enqKVUjBntrrNmf0npQdnYY9e/bg8ccfr+PEGhhfzy7ToPPT3HY78ntVjf2ZM6exbdt2TJv2FEaOHNXskI4ePYrvv/8eM2c+iyFDblMvT236SJuFrXEC7KC3w9nRKqgtjqDfA9md0zWOtn6K+/sHQ2FZVI4Lq94XTpj7qDuFOJiqRydthCJFLUk7I7GMitSiJim1qq9nWRnwyCO3PMVdiGP9dg0FQUGI2rsL7qPuEKJ3qvTc5upi6MWsIlFz/bXGF1IDA5h2t2lS8bQdTr06m6SU9K8PRiA3M0PU3DoNGCRa4FDrMMq1qkENfKVmGG4jg7l/0+qsqg1ThIwiZY0ZlUyYkoq3jt54qc/t+j/CYF5eLepvy+V5ICdVFQGi/ZriZAsbY6NGlembuiZ06SVUvHjGpEERlguzypo6ysSq40cv144mEqG/cMDNGIp66df1X0QPZsnx3XUHnbZBLeoCyg1EarjG60BiKFRudaEeffW+EEgUNQj6cp36uBsY3ZiQoHvizU6wKArKURrWeNs1kfpPjmoH1Skryquw8UAYKkrLRNquzMsHvabPEpN0I2xlIvWwrROLJIolOj1UN2xLSeeGLoooJuUW4+ejsSiIi0HYji3wuP0uuN8+RqRo97BQqlWTOBapD6vaSFJ07EBImij/IiedsnCoJtuSWD4zG4FW5uhnaS7E8cz8bPWizRjdK9ZFpSEzuQDW8jJIYSTU/cXErqcXek2fre7ysSUlW3A5++4S8TfdQ6jV4oSezs2KJUp72sHISrdeytMLyvDDn1Gi5IdabbqPvhMed4xV384UFeVYO/c+JOantcpBpw1Q5p2qJrn+/bEtmTrt9c5wMigNl6Kz1QKI1NXB0c4WVPbSkvfEloyLOJSGZDcqnqcrZTAlwVkiHX/b1q048++/IlXdzk4ZxGnphHNzuiTNvW+2hOetXkYVnHnttddQXFyMhQsXomtXpViiylRlTLWDOCkpKTh27BiGDRuGLl26qJcV7Xn7655A4K3m2tTvtcqXbMHAOYLebhH0ljno1VXV+OzXayjLSEcQCQAFDhHtYCry5WJ2X2UzvZ0g7ePQ7IwlzQKXXskSEefGTPSzpHrTlrx0dpCDnl9Yju1HIpF2+iQS/zyIHlOniWjpBAdruJgaNzubTS+foo6qEdEXjc6JmCntuJrTgqxibDtxo+aWRLBIDGuMnRV8aqmqtiYLoqlWYyoG9CJLqc1tfdFvwX2mzYt8EZWGquBsERW5uHoFLFxcEfCssp5qlI1MlHCQj0rlDkJTQMM5rSiqQOm1xns/60ok4NekbIRfSUd5ZBTKsrJEzXFJZoaanSqFk+oMw6HAEceGIk71HXRqvfRt2o19N1LU4K6MKjxoq+yDrsl0YdIiM6cYu47FKgWgPnoX1j6+8J/2rHq4JIz34ghftSJvm08wyk65XsPY2DY6MtU3KCobR4PTkHX5ImJ/+0ntkI61s4K3pZmyRt6wsXyp5qlQ/WX9lnSqtW4mOt/8L7d+CRI8PBecDuf8KnXKtmoSW9XRQpRpdK/rZNOzMPlqJn6OVUZHVSnQ9G8qGXK1MFdPWOlyR4PaxBILSvDD0ViUXAtFxA/fwnfSg6DJK2ovRu8QlPJ8u60MXc3NkF5eiQPZ+WLyn1oQUkvKu73s4T/QFSSY1tS98WZKKFp/hFu2RlhiHo5cSFbX29MkC022PO1qj2/SclCIKix9aKDYWGsi6LR8U3XojZXUtWzU2l1q39EYJOSWIGTzFyjJyMCQRcvgLjXBOAfrBqK5N/PLNLlFKeCaTFsTATczPmohRl17cnNzsei6qNmGzz+HxFiZjt3S1GxRd0+Zdo10fKGyUpqg0RejZxplg5w7ew6bN28Ww66dsl7/HZLekajtXLO6LNSelroG3cQzR18YtmWc7KC3hVoz67QKaosi6E/AeMi4FkXQC3JKsO1YDPJjohH+7VZ4UpR41B11Rkzqqn0D3Vrct5oi6BQ1bMpaXFvZQQ56QpIc+84nqWvMes+aBws3d5HKbGZl2iLRCnLO6QW0sZuuJj6tyi7Q8rkYF5OL366mqGtuezz2FGx69MSjLrawlEhg4mMlokNUD9caa+olXLUd6nkp7eOoUzfeUkU1vtgfivJEZYsxMmqxRzXovlJT0fecjDQESAimKS70sKLJK03WmgmP1nBv7bKfHYtCdWaxuqVY/fVVqal0DWyXVuKiYcP9qe+gH87Ox47UupMT/kYSvFJi0mjklH63zV0fWrvTjSz/wcFrImVX1c+alOtJwZ6syMxQiOO1JG21pcMpDctpVLlYlS7d0m1pc7mv/whHcUklgr5YJ0od+s17CTJ7BzxB90F6afRpPn2zqfE0JaJI3S4ooqwLlllegfWnY2EVlSZEA8vz5UKXpM9zL8DG1Q1PkS6JnZlQHNZkdO1/czQaBUVKEdXkf/68nqX2KKgPuKp2VxfO/ZbwPnQhCRGJclz85ENUldR1oLzHTYTLbcPFPjk5WkDiYoHwsCxcyVRmlPV0t8aAPi7qyf6mtAh0sa3Wv0FpOBedjZif9yA7+AoGvLwADnZ2eNjFDpQtcN7VEDuH9xb72loHvX7rrfrHoqUOX0uOYVuXSSwoxS9/RkNBYniffqguhesrk2KQtYVWU8+p0wN1fNBk2kqlbysHWo/EgElPZM6cOWIzEokEGzYoSznEuRvYcmdS1Y5M03ha2rLuZvZFm+uqMie//fZbUI93so8++gg2NsoyHjGxa1y3Na/IqLqc0WS7QdUYO/I9WZuctL2tVvmSLfhxjqC3SwS95Q76vyHpOBeZpe55roqSqY6dldQYjwzzgYWNMn2vpdbUzKe4kbW0v2EHOehBQemifzO10SFxH6o7trC2wTQ3e1FnTL1aW2I0w0o3q+YmLFTb6siZ0itX0nA8Nlstitd37kuwcnbGNDeHFqdqaWIiIsihOUKptClraTpYS7hrY5mEzELsOxmP5FqdDfym1H2hpvoyejHX1Ae+9hiaux4odasj2wpVK5SZNKXXW2nVHjvVVzoOHAQbvx5Ci8LHxRKrJWUIL27YJqu+03okOx/f1HPQaXJjqZVNoy346Lc7she2qrVcRWEhLq9ZKVBQ2Y/Hnco01mQ7Y6TZmWjVQW+qDMLY1QKmXrc+elIgL8W2v6NFNtXldR+LPtY9Hn8aflJTjLazbHF0qKlrsSmHRBdewFVjPxmbhUtX0nH189V1NBmow4mzzByTHW3QXI1kXmUV9p2OR0FOqeiQUZqZLvpmw9AA3c3NMNJWWcuvS5FSTceOon17/4hEWlmFOm299nIBM56Dtae3mLSQeip1OSiLoKaiWqhS1xdFVUXbGit1oHss1fLqiv16LBbxOcVCk4G0SOgccJeais4UixWFyDZR4PvByvZRrXXQaZ2m0txb8+7RXrzWUv29vBxXv1yLspxseI65B24jbwdpCnjYSEUWoLZMFaHWuD1SOG9Di0dtjo1EcAvyCzB//nyx2TWrV8PcQimiTPXSdE9oqTXZ9YZElt1kQqtI16PHNZUKlITkoKZCge++/RbHrjvoqp7nTQmAtkSXRcWTnfSGZxY76C292lqxXKugtjCCbnLbvbC442mNo1DVoFv8nYa1+0NhXFWNqxvWiBePwNcWwVQmEzV1VU7m6NPTAaa16i5bsVsoj5U3WWNmTuJKzfU+7iAH/fDRWITnFitTuDIzMPiNt2FjaiJqrNoS3aMoenl0HhRFlU0i7MiZ0lMnE3AxswAR32+HPCoSg958G84W5rjPyVa0yKPU47ZaS1SrO9Ipq79f9EK5dl8IjKqBuN/3IfPiOfg/NQPWvjd6wLfmxbG5WmP6fZqcobTejngAJ2cX46fjseqezVTeQgrV3R6aCsn1Fw7SX5jg4yDOhQ9j01rkoP+ZU4Dt12tQVYypXOK9bh4iMtJoL2xKD7yJ+ua2nqe03kdHwmGcWSBqrlXW/6UFoiVUtQEQ5C3Fo56OuLeROvq2/HZTCs5NRWbb8lstXeevq6m4FpOD8yuWXdcmUepwkCPiYSvV2MGipdtWLVejqEbxhRtlFHXWpxfwwJb1Um7t77Z2+QMn4xCdWVTHITV3dhGK9qIe304GC4qWNSPkRJH0Q3/HIKqkXAzBwsgQ/hZmon6dOp+o7Gbvt63dv9YsTxOu2/6Kgjy/AJdWrxCr0v3CzNYOJRlpoGvF2UKqnLRoYQ15WXQeqnIaTvjRtlvr6LRmX1q7LE0ifH8gHJlFJaL0xcq7i+h93s9SikArC7xkXIyymip8P0ip4t0WB70pJ6WjJ28qiiqw8XAEChNvtBylki+Zhyeou42UepT7arf7QlOCux2ZUaCKeG/ZsgVnz57FAw88gPHjx6tPqbYEHKhdW1Np3lQCY9pNd8UkKRhVHJ2D2OhYdOvWDZs2bcLly5cxbOhQPDNjhmDTVD09vXdVxBeIrITmTOiz9HXUC82O5vZFW9+3ypdswY9yBL09IugrH4fJ0PGNO+iRZ1Ax+wGsXvIP7IoUokdr9M8/CIVuEsCilwZSKr/ZqJ4yZSUT9BKmyVoULe4AB51eonZQ//PiEqUw0nXRGw9TY9zjYK18EZPUTc9pwbmujCKUKUTNZWMCcq1Ni2rJ77ZkGXoo/PV3DEKLyhC8cT0oehj4/+y9B3QUV/I9fJU1SiONNMpZAiVAIhuDwWnBxgFMcAKMbXDOeZ2zje1dex1wDuRgjAM4gI1NDspCoISyRjmMcpbgO/WGHgYx6umRunv4/T/qnD27i3q6X1e/fv2q6ta9Tz2PEEd7XOHpBmfq+xkmiyj1G/aUt4HYm40abcjH+pwXC+6XR4rRVdkGbU4W8rdsYMNNeOhJOHh4YJyrE8YSlI/IuwTOA6Ha1zbuDlBECc+6C3m2Qo7JLKjHnswqBrsl+G3UrbexijkZ6TVPVLpgVLSawZppjr5ZWCkoQP+noQXfDQjQQxT2eGNEINuIdBBfxSDrgyWkttraevDtn3lozMvBic3r2P2PWHgLVDE6yGqthx0CI1RYHqiGrYh9cHw8BZZK2m368wRq27r1QWn8A4/B0dMLS2kjTooFQ2RvHzgfeTfgw0wMCpn7po6h79jOvwpwoqMLGR++x+DtZL6TpyJk1mxcpnJFpJoI884w/POdsySnHsmF9YhxUYDeBWMd/JZCTZjyBf29pbwVq5JK0FyYj9z1q3Tokkuv0H3f+vuZDOflKleEOTvyqr4YXou+iUwPehAb7l5EyH0JOaavtRtf7jqB5soKHP/qU3CtL8TTEq5U4B6bNpzs68OG8bq1cygBuilpTkuSJ5YXavHj0QqWsKbENfsuPvg4/Ly9MZeKFyM8GKJMTCOlh8H2DJYkiqPqeUdzOx555BF2u4bs7fT/nSf6mp1sJ2k5kpjjs+ESk4r5bAzP1d/ei66sBvz666/Ytm0bLrvsMpzIy0N1TQ0+/fRT/aFC3mW+thfDa54PPARS+XMo570QoA/FayZ+Y5ZThVTQBQTonQ8sw9r7NqOjppr1WZKFzJwN34umMkKwKwNUokhl8EF7WTBKrIwDelHOcpcFAvQSTRO2JWsMNiC6yhFptib4uIpSOWqnxMUgPclyk0IVVjTht0SN3u2kge7grsLoex5EnIsCU7zdBEmqCXk1TAWqQ8k6C7muOcdU1Ldj674iJimV8cn7+p9Oev41RoREZEDOJKNkphxYd1kLequME94Yjs8Sm45DqRVIKdUykqf6zAy9BBQxlZMNRLsIDdB3N7SwvkxDC3K0x1sjA9k/8UG7LdF/Wlasxc/pFUz3nfTfyQjCSsRWS/29YBungrOr+KzSBAtsTzMusURJIEoKymm02Vq5Mxe9bW2sSuoRFYORNy1mQ6A5IWSTJXS8fEgKesdoTbCkNWtasDq5lBGcJa94VUd2BjAGdrfgUKYH70ZQbqFtTydPoYfIr3iqRJaulPL5OyejCn8V1euTeTQvaH4orK2ZrvsIZwdEOjnCnCSDqe8C+daYhKXc86K6rBnfp5Sh/mgaCn/ZirBr58J73ESGrPP0dsZdnY04dfIk1o8dwYY2lACdfscHc7ek9OKxtErsLjlb/52KOnODfODt4ggnIv8VMXFp6hthqXlBxYaOY/UoLi7GihW6Nqj//Oc/cHXVtT4KRY4MnL+cJjrfvGaVY9o3D1BQkftdGHg9LpFy7733nkUS7evjg1dfe40dLvRbRutBFyUrWnWcHYMZ2yNQoWSYxSNL+06s65sVSwq46IUKuoUq6C1PvoxNt/8XRT//gLrMdKhi4nQ6nvRR8VPBNcydQW6Ha9xCNth5TAZkMgfoVAX4cXchKpo6GTFYW4UG0YtuhzJiBIipVxngKgqbJh9xmpykUNrmTqz9pwBWhHaoqUJvVwdy134HVVQMRty0GKT1HB+sy4yLZXxMtecDg/cfh0qRX03wzRXobdORHYbNngPvCZOYJFKCuwtDFJhrVDFmH512E20Oznasv1dO27W7ENmNHcj6+jO011Rj4rMvI0jhwBAjxio2QgP0vdpWfF1ed9atBDjaY8XpAJ31q1EVfRCpLbmTFRmpFdhXqjUgh7wPzv6BZldJh/Ls2pOrB/WDGAgWc8ZUVtCAnzMr0XQiF3mb1rL+e6qUMg4CL2fB1WIh1+STpCReBtqMWspO9vbjk+3Z7PJcxdg9ciRCr7oGDiovhCnscbmXkiWwrOzOVTXgG7cpQrChIrWk9BVBnD/7Kw9Wp4CcNd+gpbQY4598HioXZ0aSxhmhX+jbbk4QwZfMtxSKZKAvjx2txu7COiaVV3VoP7h++9sCvOAQ5Ipl9bUsOFmfoGuFGmqAzke0a8l34sDeEqQ1tCJv4xo05echbtl9UAUGMb4BqXqC+drjLFVB5Z5PRkY6Pvvs87Mg3DbD+H4zVNnROpNs5ua010m5HnDnZlwBjODtJO69776zLklyabfffjv7N3PaVViQnqMFocv4TM79shy+HM41LgTow/HeIL81y6lCK+hTZsN5xhKjV+zMPoimlz7BllueZSycNvYOrGJG2s7Uex7j4QwF9XaIlKHjYyg2Cent7gYWLJBNB72toRPf7i1Ad6MWGR//l/mPpHAc7O0YWZpjlIoR3A3XeEmhZJTU2J9SjvSyRj0jLXdfnMQaEb+EjvAUDc5K5zfVj23JvjL60GzckYe6ji4kvf0yc8eEp16AjUKh23BRtWyECpx+p7nzgMkQZpK2q/G2D+58cvZfEznNT7sKUN7ZDUJPOHqqMfruBxDr7IgpHq5GZU2EBuj7ta34ckCATr3s70QF6V3XVdAE6sE2ZnJWUA2DsezVX6O1tJi1/FDrD1WNxXr3B5szHSSzM4gso9yomp925UPT0oXkt15mkN3oW5dCGTmSzX+XEKWo6wG9EwQXHYxE0pIyhDl5dfgrq5rplpfu/I09Or+LpiJ45mzYWVkxhQtaD+y8dOuDucb3zAUrnZh70WEcv+9gKTJqWvSye85+/hh11wO6PnwPF1DgQElWa0dbs69iKpkviLPG7Kua94N9+4qRUd92hqfl6Rfh7eqMOcTTEuOJ20vK2QnXxev0nocaoDPpxbSaQd8JZ6oampkQMu9Ozz2avlk7/ipg/AlEltjf04Nxj/9br2gyFEi3kDH1NXUxCS5jZil+DtJnp0T7E48/jrb2dtx3371ISBjLhjjcqj5ponfnN/KymZ9v8oMc235GRgY+++wz5oeHH34YJ06cwOWXXw6lUoeCGop0pqn2l/NJ7UPIfJbyGLNiSQEDkb2CXlJSgrCwMKNDW7ZsmV6zj2/sx48fx9NPP40DBw6ww6ZNm4Z3330Xo0bp+hTNNbOcKiBAb3r7ZthdfM2gAXp7yn40vv0ZNs6+hwWhnqPGgPRc1Xa2uM5bOLGL0PvkW2CZ5AJfL6/MAfpfh0uRU9UCzd9/ovLggiv/MgAAIABJREFUXkTMmQ+v+HEY5aLAZC9XHbRIBAgXn3yIXNUCyvSzD25b1zlsvLFLl8M1JAx3EJw1xlOwxJ6QOWESzkj9rX7DR28IGcvAYyhQ/GZfIRqrq1jrh8+EixA6+zp2GEHbHRkJjtKo3rnQ61HljCrpg1WN6TxyfoB7ajuw+lAxGmtrcfTTD6COH4fwOfMxjZJ1Pm5GJQWFBugHGlvxhebsCrqfgx3eNQjQzxcpnb9TNMgqa9JXjRWeXhjzwGM6hm0iAaOeQiM690Kfu6nj+FA1JONna6aShqnrDfZ3qlis/DNPpwG/4lV2GMH8XRSODEVEMNahBGB84+E2vMaOMcWOPtT7HOx3LX39aO/vh6+9HXbsKUJ+YwdS330DfV26JBLX8kDrgQv13A4xOKdzcTJNxsYiiKNF7JvnOR/1XxPaqqWrR5+8DLz0SgRMvwzUgx3p78Y04IdjlKgZTJbUEpwUhvdCaJ81f+Shua+fcRHQ95PUXSIUDpjh6craUG7LKmE/GW6ATufgfScswM1A68KWPYWo6exC8tuvwiUoBLRPIE6WcT5uorREGps7/Pwc9oIkb4czJwf+9mRXH6ty19fX4/nnn2d/fvvtt6FS6RAkYhQYGKlwSTP6m4z3o59PChd0z1zBifrPt2/fjgB/f7z0sq7AwRntmxX07bA3D2lEvycOAoLQGzNLIkrEnFdinMusWFLABS0WoM+ZMwcLqDJrYJGRkbjooot4h52fn4+JEyeyl/Ghhx5ix3700UdoampCUlISYy4018xyquAA/Vo4z9D1DA608l17cOqzL/BF9JWM6CNs9vXwnjAZ16iV8Cf4YoynubfAe7ypgIyXWETGAJ0y+F/vzENHd7d+YzrhmZdg4+DAKmgOIW6iwP7JWbQAs6qREZOLKI6qdT/8XYCqzi4kvfUyFCpPdDbo+oUJUeGsUmFpqI80fWXlrSC2WmNmqaw4jaW5qAmrMzRozM3Gie/X63kZrle7w9vdURT+AboOVeqpejYYY6vQXi0xXtT6vAZsyKqENusY8rduYsRXRIBF9+wXojQq8TWcAN3XwQ7vGQTorFqUOgiTN5HtiEBQaMpPvafZifu6dSgCMg5FMsPDBVEB7sMOPkyNga/1wyHUDXY+8iStUo9X4+CJOj0RFGlak7Y1yatdFqwSFd7O+YSPFMhkG5Qpxwr8OwVcG6u1+KOumf0izsoWTvm6/33sy5XoqK7E5JfeZP9/otIZY0NVoBaM4VhffSe6CnWkcwONuFnESggPZ4zcb8uKtPg5owK1KUko/v0XuAYFI2bpXbCytmbEgS5xXsNS+qDr8L0DJpP5YtwkzznKNc34MblMz2DOtYEZctMsySxiZxAjQKd5QfPDmMn1Thhem6Dmqw4VQ1tThczPPmK999SDf6nKFSMDlKK2wRlelyFs0o3vlSwRnPXWtDOJUK5aTIU5LhagxCUlMMUw3u/ieaRwQffKoWRXr16NQ4cO4c0334SX15k2PXp3HSLdh0wgSESd7anV5xWiRIxnLPY5zIolBVzcYgE6Zb7eeOOMjI6AsbJDKKjfsWMHcnJyEBSkg2lqNBrExMQwiYUtW7YIPZX+OMFOPXUKuP56YPt23mvoKujGA3TahPy5cSdit67G+8pY1KYlY8x9D8PN2weL/LzgNFJ8Fk4aLN/HhrdSIGOAXnWiAVuOV6IuIxVF235kPqYNGWXIL1W7gaCWYpJR8BHFyQFxpmrx2gNFaGhsQvr/3mFICvrgdtbVwSUgEDHOjrg0wV+SwIAvK25lbwPnsZbpO01PLMf+ikZU7PuH6Z+PvHERPKJjschPBeVIFaiKI5YxuDv1X9N7bcSkqFQau86hvcVIaWjT81FQVUQZEoYl/p5wjqaWjnNZeYUG6Ica2/CZ5uzNlY+9Hf4TfQbiTmPig/rKwVqck1OLv3Jq9L2lJBvF2n4AhiJRSMBOPPBZ8PVim0O4NZz5SZvCD7dnwfrkKSS+/gI7FQdvn+ftAe8ID0nQLXw9t3Ld+4n2LrxeWKl3X1B9D3ybevU68HYurgzSS0Ro83w8hqzmITT4oOPkRE6YmjeZKZXYU9aAgq2b0ZCVyeTUSHpwrrc7vH1d4Bg5vOo5XZ9gw1Q5HsykbjPh88HBw2VIrWpGwQ8b0ZB9HDFL7oRbWARuoPci0BUOoUqIGaDzya3J9U4Y+qO1sBHfHS3XS3FS0o6Sd9eplQgIV0lG4kcFHuLnMGZUzCBkk5zGkaH9+OOP2LlzJ9NA5wpzpGxBMG6xjI8sUIxKvRjjpP1LR6pOrenjjz8GIYzpv+3tdbK8tL+n+TqUyrnh+PgQJedjO5AYvjX3HIJjSYEntmiAzsFTFKf7S02Nua2tDZ6enrj55ptBmSJDW7p0KTZv3sxgLy4uLqZOddbfBTvVVIBOY1q6FCxAn3odnKcvOmccvY1d2Lz1L1zy6wY8V6JjlOYge8sC1XAaL24Qyg2AT+eXlziipweYP1/yHnRaZJL2lSKxoVUfqBBpHpHnXalyQ0S4h9FKolkPesDBfPIhclTMOgqb8PVRDdory3H868/0vZU0TD97O8wa5QfXEDdJYL0MVUGan4OQg1mi75SCk327i3C0tRO5a75Bc0kRxtz/KNzUasY/IMWYOrMbBmUqlYp0x3AaEtx+/e4CNPX1s77Cvo52jH/yBXjY22IewZkHWQ+EBuiHm9rwadnZAbqXvS0+iA4+623gS+BJLStD7/7ePcXIbGxH7rpVaC7Kx9hHnoK90h0LfTzgrlKIjioytm6cD1roNWVN2JyiQdWhAyjb9QcbJlc1XuLnCeU4H1DVSmw7H+793eIqHGs9U7GMquiCW2c/8tavQlNhPtN6Js1n4mkZHa0WrQ+fj6PFkmgiw2dM6/TWHSdQ2dWD7O++RFtFOSY99ypU9rZMXktMjgQ+qSlichfKli/mHCXE046/df3X1BZI7R/jnngW9lZWjCCNa8MQM0Dna/2xxLwoS6vCzyX1qNj7D8r3/o3oxXdAGR6JW/1UcI/xlLQFh08fXE4yRbZvSSMytFOMtb2wsBAffvihPhhViNx6cL5KzBm+W4aygM899xz6envx7nvvsUOooMX2ECK0hvGha8ROjIi5dsh5LsGxpMBBWSxApyCaAm4ygrY/+uijeOCBB3iHffjwYVx88cWMBIGkBAyN/u3+++8HHWMKJj/wIoKdaipAX74c+Ppr3gC9NKsW+w8nYvymNXijXtffQhswR2trLIn2Yx8aKYzr2zF2bl6YkkwBOgUq2/YVQ9PZjbQPVjDYHvWXEXGe2LJCnA94M+RqXa+zVEYQ+49/y2YavJykFCezRxUR3xB3UTPBxu6jM6se/W3GGc3lqJqetQHtO4mWlGqsrmxg/5z237dgZW2DsY89w/7/8nAfSdik+aTX5NiMdpY046u0MvR1dCD1P28y3gGqoBM79ZUhXqANhzETGqBXdfcgs7WTzTNrKyv23yTHdLHH2UlMPnkZqXtP+5q78Onf+Uw+K/1/7zJSOKqeu9hY40ZKUoz2grWTnVSvov68vL2Ww2AGNmfgv+4vRlFdG46u/ABdDfUIvfo6+EzUtX3dFRsg2feB797J9/QMpLYHsktB/eecJRR3wK7/lD5pk/DQk3Dw8NB9D8aoQX2gYlhvXQcI4j+YWYIQbOBY+lt6sHJXHk719un7z2nfEE5tD95KHY+MCJtwui4fa7c5LNBiPBvuHKRNvXlfIWraO5Cy4jUWmFKAGu+qwEQvNyiIxd/KStQKOn/vtZ0krSaD+YwC051/FYBQJgVbN6Eh6xjGPvoMXJRKlqCQeo52HKvDyY4+o8MT8100NWfoPaCEGknpPfzIIyAJsedf0CGNWDBK74EIHEXcOPjIhM+XoLS3vhPdhU0MSUyo5EkTJ2IZxSJmsrab8j3fOmnjZi9LEt3UGC39d8GxpMCByh6gl5WV4c4778TcuXMREhKCyspKRgyXkpLCoCrvnc78GBv/1q1bGcR927ZtuI56wQ2M/o362n/44QfMp4rvIFZVVQX6j6ERXH7x4sVITU3FuHHjBnfdMAN0qhBu2nkC/VX5GLX6O7zX2qffkCe4KjBljJ8kcGa6IZZ5TKkZFM47KAOoTAF6R2kLVqWVoqWyEse+Wgl1wniEXz8PFymdMTrAXZKNKbF1ElmYMZNSboyeRVJyORIrmvTSQTSGyHk3wnNUPMuIq1ilTJwN6GAT+nzqsWs70Yhvj+sYePva25m6Aaf9TASBF4d5StJjx/fRkaNKciKxAjsqtMhe/RVaS0tg7+rGkhLUVzlxlM+gnAtCA3SB3wGGIiA0gTETs6/P2PnTk8qxv7wR9UfTUfjLD/C7+BLWf85I8nzdBk1SCL03ocfxaqHbWcN5nPnSfkKvza3RW/7IQ3V3r54UbdLzr8HKxobBmAPGeMPGbfgKFsbGxNdvSWoizhOkh7EaBug2/acwrriDDTXz0/+ht6MD4598Tier5qk0qmxgjq8NjyVoaEda7aBoouGyQg91XIa/69S04tvkEjSVlSB71VfsTxSgRzs7Ynq4l6hro2FFbuDYaS44jfMRNQgS4p+uyjZ8c6QYzeUaZH37uR5txtB1wUo4hOu4CMSsoJ9PvdfUerByZy5ArS9v6ALSyS++AaWdLRYG6dBlUhofqkLOZH7Pae6c6upqvPzyy4wgeskSnVqSrYej6DwlXPBrzLdy7A+EPFNuH0etvz/99BMrXo4de5rRXkTIP/+6YD0k6Vsh9/d/6Zj/8wG6MWf39/czKQBiZSdZgIgInUTGQFu7di1uu+021ncyc+bMs/78559/YtasWaBjKNgezF555RW8+qqOGXegmQzQT54E5swZvAfdRAWdMtOfHSiEe00BIr/4Dl84OWP8E8+yKvFN/p7wJpZiG2vJ5iNfP82gVSqZAvSCfWX4vb4ZVQf3oezvnRgx/2ao4kZjgY8H1JEekiQueInibK1Zj6MU1lHdhq8PFbMscNIbL+ovMf6p52GrcMLySF/JGFkN74cPQSBndphkxnb8U4SCzm4U//ozGo4dRX9vD/ynzkDQFTMx09MNEVFeohEEGvqAt3KosJX0OdD827O3GMfbOhm8vUvbgJE3LYJHVCwudnfBuGnBg/aNfVxag6RmXYuMoa0dEz6kKWuSBGa8D4g4T2yjishP+4tQ0dmtfxfG3PcI3Ly9caufJ5zClJK8+4PdB78WOq3PhEGQxmgTvuHvfNRTlfCd10B631G3LmUXWxbmIzkvBC+MlYIyO/Gfv6EnDQN0565+xJZ3AadOMcJQJ7UP4pbfhzEuCkzyU4pGFsldny9ZKReCgG9WlWbW4JeCWtQkHUbJjl8RecNCeI5OYMSywSM9RX1HWE8rJSz6jEtRWqL3tji7Dttzq1Gbkoji37cxlQtSu6AWGK8ID/23QcwAnfzAeq+NUJQwwryJPqKhFkytKKT08fmBQj1BHh1PCZpQR3vMjPQWPTAdOB6+90OOVjD9e3qikTGKJycns8LeLbfcgksvvZT9WYq2RD5OhvOByZ2+20R2TO/qt99+i8TExLMY7cXsDTfsdTc2X4lQU4r2K1Pvxvn09/8nA3RyMEkDXH/99fjiiy9w9913G/W5xSvoXIC+bRsLqs8xLkB/6ybYTbv+rB50mtz16TXYWFIH26MHkfDL71jtH8g2HSpbGyyI8x82I62pidqZpx1UNmJQMhyJA3TqfdRk1+FgYxu0ff16fdPxjz8Ld6WbDuIq0YvPFhxCFQzSh00VMyk2pdv3FKJY24Gsrz9DW6Wuahy95A4owyIZZG/q+MAhs22amgOGf+djMJYzO8wlrvra25D637f1Q+Q2oTQH1PHesHEWH+bMAtMU4wQ4hAd3Hi9dUEbV+x+OlKKaEAPvvQUnb2+maUx2Y7g3fBMGTxCVdnbjhfyKsx73FHcX3B889EoKP1GcSpLqbU2BFt9nVqCp4ARyN6yGnbMzxj3xHEIV9rjCS6lj0ZY4MDR0Im8SUwJ5s7Pex4ZOfLe/SM/S7DNhMkJnX4/xbs4YH+wh+SacV1YqzhM2LjrSIanswexSJqFF5tXSi7DaHvSfZvX3GBmDkTcvZoiqMeSLEcMnRDO8Dw46O9i9ydlna2wMaQfKcKC2GcW//oTatBRGLKtQ++jg/hK0gPBJDjpEuA9Zd36ocyfliAaHKptQ8OP3aDh+FAkPPgalpxq3Uv95zJm1ScwAncZK7OVUSTcakIz1HjbxllB/tJQ0Y1VaGRrzsnFi83qGtCPEHb0PCVFqyXkB+FrBxFTXMeUPTgaQI4gjuWWuoCdF4sjk/oD2iBIkrk35gfu7YTvKCy+8gLbWVvzvww/Zn1kSSWROK17OnigitJUG4SXUH5Y+7v/ZAD0zMxPx8fFMHoCIDoyZxXvQ+/uBuXMBQQH6HDhPv1V/GxQMbT1SipqeXhS89jxuBvDbVdfCZ9IUXKZyRcxYP9gqpZ3cQ5IRkjBAp0zo34ka5HV0MT9RRZn6cO2dXZj+MZMVClIxXUupTG6tUyK7+Xh7FrudxNd0Gp5cpZj+993xQZInajhfng89tzSW9vxGfHOsXL/54MY3+q4H4Obvj6Wh3rpATaQey4FzqeNoLU52Gd+EiU06w12bkkIlBzXYXtesr4pw0G465p4JIbykiJRc+qaiHnu1reyUbrY2eC7cDwGOQw+ieFseJJIZO7i/BKl1rcjfshHanOMYtfw+OPsHYraXEsFhHpLzMAycC3xQTkdi1JdwjW7XtOCb5FI0n05WBF0+E/7TZjCWZv8Qd9FJMgfee1d+I4gYy5jxSnGKtDgbBugcg3u3tgEZn7wP77ETEHbdDUxSKjrSU5KAhC8YsyR7OUHwd/9dxJA2lNRtr63GxGdeQoCTI65Wu4sK9+ceJQclNvZo5URX6fYFp7D/nyJktHQweH9beRkmPvcq/B0dcLVayVpPuCTexqoG/F7XzGRLnf0DEHf73VgeqMYM1dCYvXl5WmRIWnH+r8yoxg9FZ6QXuXa4W3xV8KDASER1E2PPnE/hQq75YNiGQ8Rw2dnZ+OjDD+Hg6AiWTJ/gK0nrBZcUsNS6yLe8ckn14uJirFixApMnT2YtxGRS8EXwEsUFuYpG3CnSJ0X20/w/G6BTRox6xwm2smzZMqOONcXivmnTJjQ0NEjH4s4F6L/8AlgbgfudrqA3vnkj7C+Ze1aA3p5Vj2/yqlgPUcEbL7AAffuVV8Pv4mmsh8iXKnUiklsYXWQr20CkF2Z9dCUK0Omjm5dUgT8rG9FWoUH1kYPwjBvDtK+5zRhj6x3pJclmjPNBV0ETqIpvzKSoFFCv78q/8vSVIZfTKAq6Pn1svSb5yZaR5e25lRDib+hr2nyWHCpngWr5nl2o2LebVVFJPidizgK2CZ0zKRh2aifJFlu+wEQqBvOe6jZ8frrNoeDHzUw6h0MMUFuHd5zaZDaagvTSrh5oe/oQ5eIIZ5vhsXvLLbVF78LmPQWo7+ljMoOw0hFDEondLX4qSVj7TU0iS+qBV+XUY0tOlV7/PPKGG+E5Oh430yac2ny8pXsHyC/dpS0gskCja2GImyQtJobXMgzQR5V1QtFzEm2aMmR99wUCps1A4OUzcbWXEmH0bkgQkPA9e7mCEGO+p0Tq7/uLUdzZg9T/vAU7JyembkEynFP93CVpw+FFV0nQ68v3XlLv6869RToG94/+w9oeEh55CiOcHDDdx/2s1g8ixXy9sAqtp5EYfg52eCnCHy62Q1sbLZ20Ir/0NXWhJLOWtQByDO4xty2De2g4lgZ4wVkCBMXA58E7H7wUshQVDHlSiK+K1J9ef/11NlQp4ebdRU3orTO+R6Q12SFMOjJhvvfCkEPp/vvuQ//Jk3jiiScwcuRI9jMpkqqcBr2xcdnKNA9MfcMt+ff/8wG6VquFSnU2U3lnZyemTp3K9PtINoH0zXt7e9n/ViqV8PPz0/ucgnjqQc/NzUVgYCD7d04HnXrQCQZvrgl2al8fcMMNwE8/AbZGCLwMA/TpN8D5klvYUIhBPTexArsaWtgC27n377MC9JsmBsMnSPqXnHeR9VSAeonOsd5eYN480WXW+lu6sXLXCXa59A/eQU9ri/7SEXMXwmtMAkj312+sjyTQZu5ivCydga6ia4sSrHnNoWLU19Qw8iPvcROZ9rmTjTUWxwUYfwbmTmgzjrdkzy0NsyVPi1VZOqh2/vfroc3NZrwMts46lvGZY/xZxUxK46sOSAX1L0uswM8VWlQd2oeyXTvZ7Y2++0E4+frhzkAvncazhHwUxvwpt9QWRwzY3ahl0kmecaMROf9mTCYYs4+bpMiZweYTLy+DxBJTJ5IrsUPTgPLdf6Fi/x7E3n4X3IND2SZcKiSHoR/4mPxJS5egrFIaF6C7dvQjulJXyW/MzWZJ25BZs+E7eSrTvA4gAk0JWP15WYplYvE35l8iqvrpSCmqOruQ9OZLUIaGI/q2ZRjv5oTxISrR4f40Bt7eW0dbOMWrpZwKZ52b1qWfj5Qynorkt16GS0AQYu+4G0SsOzFYBUXU2fvJup5eJDe3w97aGpOUzgxdNFTjRR2GKyVNHLO9Y0cvWjPrsbVGizZKZv++DTUpiSxBo/L2YRB/pwnSk/bRfq0zZxBCXaWDJCS+A58ZFxxSoY4CUSJC49ScbD0d4RgpbtsLd32+76K1ow2c4ofeVjbUeUm/6y5uZooLR44cwXfffcdORS3CZNQLrhijFr3ox9cKRC2IUqJdh+MruX4rOJYUOCDZWdznzZuHjo4OJoVGATaxuJOmeVFRESM3+Pe//82GXlJSgrCwMJC++apVq/S3k5eXh0mTJjE99Icffpj9+0cffcQq50lJSYiKihJ462cOE+xUoQH6GzfCfsaZAJ2CwF8zK1De3ctgzRRucBV0r0suweKZI+GjGDo0VegN8zE1D8pazgXo7u7A2rVCL2XyuObiJqxO16CzphqZX3ysP56ktSY88yLcHB1wc4QPnCSEt9NF+SRlpMiOdmta8HVyKRqLC5Gz9lsEzrgCATMuZ5WhkHAPSdECxh4KX9+xFL2NhmOg+fjt3/noPHkSvW2tSHt/hZ7FnI5rd7DGs9fEmZxLwz2Al8Hc3kZ0hlyqCP2xpwiFnd169na6B9I1drCzw+2jAiTZdJvyk5wtD5S03LO/BMdbO/V9pZykGEG6AyJUFoHL8bL6S1ghIERRxr5S7Ne2oujnH1CXmc604D1VKiz0VekSNhL3OvLqPstQNX0opxRNvf0YWdkFZUc/+ru6kLd5HVpLi88oXAR6wZPIVCVod+GTIqV3RyouFFPvJe0fNqZrUKfVMhlCr9EJiLhhIVM5GDXCS5I2EJO9txI9A2O+oP7n9ekaaBsb2f1z/dd0/3GRnpK2fvBC/YPdYO/nbOrxDevvHQWNWHesAl2kIGSQxJ7w1AvwdnPBvDBvWYIiPgZvuUgUOU1yDs5NRNGcYpOUSgvUltieVjPoc7TUusC1ZxLqmEjzZkyfjlsXLWLjlIoXgA91aS3BXmlYL48Ffiw4lhQ4NtkD9G+++YYF5BRoUzWd9NBJ2uyRRx5hJHGcDRag09+pX53IIQ4ePMgOJ6mFd955B2PGjBF422cfJtipXID+44+AnRHCKq6C/sZC2M+Yp6+gtx+txTeFREamY+02DNAx+zI8Pi0CanvxCbAGOmNIsiESVdDzUyrxR1kDg7aX/vk7qyLbKhQgyLe90h0zPN0waryf5MREfU3dIEIcY2bj7nBOdn5IE8zgR40ntFh7vAL1mRko/HkLu2+qohNawCdKJXlGfuD4h0QcOFwnnP59bV4DNmVVoqWkCDlrvmH/qoqKwYibdCoMY2O9cUm0NEz6hrdgUoJQ5OCIKgHrj5Siubub9Uqy+46OxYgbFyHORYHLpoeCpM3kNr6NCFXznSeI9ywa87TYmF2B3r4+Vj3vaWkBEUPaurjg9kAvuI6VhqDRlE95K0Uu9lDESYPmoIrlwUOlyGjtZEmbtrJS1mfrp3DENQEqyRncyS98VVM5qiMUoLd19WHsaXm13DXfoLmkiD0yItF0D4vE8oQgKE5Lapl6lkP5Ox9JoFSbXlPj7MxtwKqcSjSW6eD+HFfFvzzdMCLOGwQtlcL4em+l1t02vJ+GjBqsL6pFU14OS9gEXnolAqZfxngqQmPVkt0/jcGSvdfUwpR9QIO/65qhzclC/pYNzC22jo4Y/9QLCFY44Oo4P8mRLXRNXhlGmSQombIA8THs3g1qZ120aBGmT5/OfCK11BsfV5GDDEiKge+34Z7lgw8+YIjiTz75BHan4xKp3k9TygbOk6SX45RirRPrnIJjSYEXlD1AFzguWQ8T7FQuQCcYvb2RireRAJ0yTvmHK7Cjvlmv82sYoNff/C+8NSZElgCdsZYnD6KFPhjJhgQBOtMB31OMxKZ2PTkUVYsoMCcLc1dg9uQQSaHt3AQjCFnHsXqj802KviZNUiV+Km/Qy8lF3XIb3EdEYbGfCso4NWzcpEdSGN7skIgDRXg7KRg8fliD3fUtyF2/iunBk8XdeQ9cAoPRY2uF+66KhrO9PIGqnGSBrYWN+O5oOZqLC5C79ju4BoUwyCbZvFg/BEZLR4po6tG1k6pBv3F5JbGquLTZO7S3BKnN7Sj5fTtqUo5AHT8W4XMWsFaPJaMDQZseSxhfEpMq2FJJL1KVdFtmBSo6upD63puwVypBcnMjnRwxI9RTFggpb4JGwnvnnjMF6FaN3Yis7j5LgpKq5RSQeLo4Y/GsKEmlfPjYqqXQWRYyx6sTK/F9RQPqMlJRtO1HhF83D+qx41lS118iuD+Ni29NlBpdpf8+9/Qj65AGu7Wt0Py9E5UH9yFmyZ1QhkVgsZ8nlHT/DkOHsJvyPx+ixs7HCQ6h0q1TVLVmKKO2Tj2hLI1XGTEC0Ytux0Q3Z0yaEiTLPomuy9sOR4gKCTmUDNFdBGunveyUU+lTAAAgAElEQVQzzzyD8PBwdl0nSqJLeH2+dUHqeWBsjnL+ID8QkpgQxSQhTUbvA1X1pTJCE9C3wpiJtUeQauxSn1dwLClwIBcCdACCncoFqz/8ADgYYVw3DNAvnQ/naTczVtw9yRpkt3exDChlQmn7fROAjVdeiabbrsX70UGyBOg0J/iy4k4Jalg7DAiIuKSEiBB3Wlx27i9huteMHOoUGDmUs60NrvHzgO8kf4HTd/iH8WaGbawYM6hYRhWqgpRK7GxoOdNLds9DcPX1xW3+XhYhxZKbGIzzJRFSbTlazqT1sr75nBEFTnz2FVifzgBbx6rwYHSAWK43eR5eskCRM+Rl6dX4ubhOr2k8Yv7NUMWNZgzVsQl+JsnhTN7MMA6gZBUlrYyZWDI2hCD4+lARevr6kfruG7B1csLoex+GjYMDbvT1gHeCND3GQt3CuxEVGU3BjakhvQbri2vRXlmO419/Bk5ibbq7C2Kj1bLB/S3JSUEBurKiA94tfeioqsSxr1bCydsHo5bdDys7W0yJ9MLEMWf4aIQ+T3OO42t3IaZwYgyX0+hdPJZYjr2NbWcIwpbcyUg0GdJEQqg5H7rKUNpMSn9Q/+8fSWWMII8x2FdXYsLTL8LbWYG5IWpJCPIM74e37UPCvmcaA3EG/XCkBDVdPQx5ydmIBTdDFTsat44PhleIdAmCgc+Vd+8oseTcwP5zGhvXb03SXqSyIKWR4hBB7I2ZXBB/w2tz/iAU8rPPPnsWe7vUicSOY3U42dFn1BdOY9SMsO//ryY4lhTooAsB+lAC9C1bAJJ2GGgGAbrDZQvgNPUmxpq+OV2D+rZ2pLz3BhQqTzg31LMA/dMrL4HVbfNlDdD5dAyNwoS4AF2pBNatEzit+A+jxWVLUikqtU1I/2AFVNFxGHHjrZKS3vCNSJaqYf9JtB6tw6qSWjaUvPWr0FSYjwn/fgkeCicsJBiriMkAoQ+KlxhMor7Tk939qEutxuZqLfo6O5H63htwCQxC3J33smE3O9nANVqFR0PFS46Y8gcfOZidn7OofY5Z+8sYbLF052+oTjyEUXfdD2e/AJ2mscQbHVN+4Pr8jB1HJJJisGeXH6/FjydqWG9x9uqv4TvxIoRcfR1jpb4kQi07UeI5G1G+JIUE0koUhP24uxCV3b3I+vZztJVr9D3XC3084DPeV7aWB15OCok3XxSgBxW0wrH3FOqPpqHwl60Iu2YOvMdPQrjCAbMmBcFOAvZ2w+fPoKOp1I6m6/kdaHL3mxKL+JfHytkwOFnOhAcfh4PKE3dF+zPyQKmMT3ZRrLXA1Nhbi5qw9qgGrXV1jFRVGR6B6MV3MoK4ySO9JYd385JiSUyO1kXa5+kaNNfVsntXjxkL7/ETGcJMrXLCLZdFmnKfqH/nlZwb5SVpJZ8jRCPi6HfffRdXXXUVbiDCZoBxMJDKgpTG13vNJN5IhcnGSsohnHVu7t0kqTmSnJszZw5mz56t84cE5MaGF+eTIpW61UA2Bw/xQhcC9CE6ju9ngp3KSY59/z2gMNL3ZSRAb8tuwOrcSjSflouh/rHeQ/tZgP7WFZPgsfRWWQN0Xq3jCHfYDexnkyBA7ypsxLeZ5dAW63qPqZ+M+squULlhxEhPyRfbczfkPBlBkSRMqFK9OqmUEaJps44hf+sm2Dg6smqAr70drgv1koXsZeC987L1OtnCabS4bL0EyerMasCa/Gr0nDqFzE8/RGd9rV5aj8aX5++Iy0M9Md9X2qy4oS94ExUiZuipQpeUVM5YhvM2rkFTfh6bAz6uzpjj5ylqn/dQlko+KJ9YG6GDe4qRqm3TJ6mib10KZeRIVj1Xj6I2DyPopKHczBB/wyetJIX0IiWHPk8sRk9zE9I/fI+NmiGKlEosjfQV/R3kc4sldeAfPV6C8BM6GdCyP39H1ZGDiLvjbrgEhbDklaHe9RAfraCf8SexVbLNT4I4FyRVYEdDCzqqq3Dsy0/Y+IlM0tdJgblj/EVNHA50Dt9aIFc/fm5yBf7UaFGddBilO35l0pte8WMZvN83xlOUhCHfpOBrgZOal6HxWB3W5lfr9wuckoGtFbBwShjUvtIGpQP9wpu8JS12d+nWbe6dJN6pNWvW4Pbbl2LKlIvZEKl6LuW1OT90HK3Fya5+o9NFEa1iuuNyGEsiptcyXgCuH/+ee+5hXF5y+IMPbShX4k4OPw/lGoJjSYEnv1BBN6eCzgXomzcDTkY0aQ0D9MsXwOnim1B+uAI/VmlRm5aM4l9/RsSc+Wj+ZSsL0P99RQJClt6OD6KD4SVTr63ZsmISBOjVadX4vqTOwCe6j+58+uiOVsu20HHvCJHEEVmcMXOM8oCtuxG0hMAXjA6jBZUqxps09eisrUHm5x/pfz35pTcR7GiP2fEBoku6CRki9RsTgsCYsd4uknARkTGZWPP3pFcgp70LfZ0drN+WLP7+x+Do5cWq5yf8HfG/6GB4yvRO0PV5uQhElFKhAGh3cT1r7zj6yfvo7+7GuCeeRZjCHldSkiZGuoqYkPnAp3MqRq8dBR079hSx+8/48D10Nzdh0guvw8raGsuC1JL3EgrxAe8aKYHUWk1GDTYX1aLuaBqKftkKVUwcRiy8FS4kvTghRNZ1gatUGfMT6f1KqcX+fHIhfDQdrP+ckFUn+/ow9rFnEObmiplBKtkSFXy6x1L7wNDvlNT9Lb0Cmq5uRg5HyAqOwZzWi9nTwyWtWvK1P8mhC0/fzeQ9xTjSRFwVOnmx0fc8BF//ACzw9ZAFbcRLrCvid2Hg+0aJbM3hCvxc3YjKA3uh+edPcIlM4qtxZ7338kKJedcGkdvABvqDQzl+//33+PvvvxmsOzQ0lB0mF+qMLzAVG2XH950y1D9ft24d9u/fj5dffhn+/v5g1fxx0ip+UHsiSXIa/UaEusHOR1plAyHfcEsdcyFAl8Dzgp3KBeibNgHORiahPkBfAIfLF8Jx/HwcP1yOPdpWlP6xHdXJRxictfqrT3Fjfy8enjkWsUuXyxqg88qKqRVwGMiQK3KATgFh3kEN/qxvQdmuHag6tJ8Rg7kFBrM+bFcKCCWWExo4haQmSqPq7N7UCmS1daJg6yY0ZB1jQ+D6TC/ycsPEqUGy615zfuAj/RD741efWYsNBTVnVYSCLp8J/2kz2HAKAhS4NkKNmV7y9dZxSZT2lGrGh3CODUagaOZaRB/WuuN12FLTiJM9PUh+5zUow8IZZHOcqxMmxfrIGowZGz6vqoGb/bATCLr2ljLUtLcjZcVrUIaPQPTi28+bBAX5hFdqTeS+UwoA0g6U4VBTm15ebcx9D0Oh9sE1aiXCJvjL2tPHKyslMZT0rf35cKnrQmddDTI/+wjqhPEIv34e07IeG+4JCo7lML52FzkCU+4em7LrsSa3Ct3aemR88gFTOGFtQNZWWBLrD49oaZN5vARp3k6SPw+SvftnXzGy27qQu/Zbxug/8d8vI9TVGTP9dAG61MYnNyclaSQlMnMTK7BL24Li335BbWoSaF1QevtiSbBaMrJKPn/yrg0SwqqpJY7638kI3k4KTx99+CFs7ezYnklMdRG+++fbO0uNpjAcl2FBidSrSktL8fHHH8PGxoYVt6iaL6Xxro8SJLClvBexzy04lhR44QsV9KFU0DduBFyMwIvOCtBvhH3cHOxP1OBYWyerlnU3NWHC0y+geMWrmNfWgMfnzGABupzVQl4ZIWMbcJED9P7mbhxM0jA5odx1q9BclI/xTz0PL1dXLAjxglO89B/dge+G1JWCxtwGbMypREdzC46ufB9WVtaIW3YPHD3VOGVjjWVXRcFVIS97u6EPCHJOxH3GTMyeItrs5Bwow66GFpTu/B3ViTqZxNF3PwgnXz8siPSGKk4NRxtrgcuXuIfxQdjEYC0m0qXfC2pR0d2L/M3roM3Lge/kqSDo4uUqN8RODpA1GDPmPT4taEJSOI3zHlYCjRAEq3Iq0FRRgeNffwrfyRcjZNY17P5HRqpY/5yljY8ozMbFDoo48Vj2adO3LbkMFV09TOOZqsfjHv83YGWF5RE+sq+HvAgKkbkYBj7n9/7MgUNbH7TZx5D/wyY2L2h+kJxWSIyXbBKURM5FrWDGzFbkBM1gc51Vj/eW4Ehjmx7uH3r1dfCZeBEudnfB2EkBMkiQdqErzzgxltREVOSXvqYubDtYgvLuXqR/8A6sbGyQ8PCTGOWiwJRgleSBCPds2pOqGWv4OUaJW4lI+mgOphytQpJhK9QzL8HbxQnzRvjKdu+G98xb3PF1lowPgOYBNw+feOIJuLq66hnLbVztJeVhMLx/w0TBwLlA/edScwjRHOyh6nVNB7t8f38/HnvsMajVarz4oo5EUA7JN955ILGygaX3BqaufyFAN+WhIfxdsFO7u4EFC4ANGwBXIxvJAQG6XcQ1+D6pFLVtHUihalloOKJvW4bC157HnIYyPHXjbNkD9JPdfejIqDPqJaPyDCIH6JSF/T2zEmWd3YwczM7FDWPufwQjnBxw2QhvOEbopNbkNP4NmWJYpFWEGEjZV4rDjW1MIoekckKvuhY+k6awW5w5IRDRwR5y3u451+LlJRAR1kqBz+EjGqS1duil1TyiYjDyxkVM0/X6KyNhbS+dZI4pJ/O2OgyTII0qpeVJlfi5tgktxYXIWfstG07kvJvgOWoMFkb5wi9O3H5/U/dr7O9MipH0ZvuMy6jQ+zlU3WUKOmqSKvF9pRYNxzJQ8NMWPQkY9ZT6xXuDNlyWNl5Yq8gSNq15DVidVYmW0xwlHISZEBUTR6ol2/QO5mNeLgYvhWTrM827b3/LRXtPH8r3/I2Kff8w7XNlWCSToHSP9waxJcthhpJOA68nV6WM1srt+4vZd5KUTnrb25nUHCkd3BGshgupCYjYemTMr7x+kCEwIg3yjcml0Lbr9k/uESMQteh2lqAYHa6SVOLM0B/t1O/bY7z3WCpZKYIRf5FayoZxdOUH6G1vY1wlrB1utD8jRpPbeBntVY5wHCHNPoar2Pb09OChhx5CXFwckxYjE6Ptyhw/thOB5CDfRqm0x7nxDSwkHThwAGvXrsXMmTMxf/58th4MN4EuxBeWVDYQMj5LHiM4lhQ4yAsVdHMq6FyAblIHnSDuNwL+s/BdWhlaa6px7IuP4TtpCkKuupYF6NdV5eCZxQtlD9BpkzwolBenM8KGepL9/cDcuYBILO5Urd1cUIP6xka28fCMHYXIBbfgIoIxjvaVtMdxsHdCyooZBf87kzUopJ7bj97Dyd5ejHv8WTjZ2mChvwpu4+Rl/zTmA7kgndS39EdaOUo6u5H2/tuwtndAwkNPsCHNjfJBcJz86AlDf/ASpA0TwkdZ579Sy1nvdfZ3X6BVU6ZjL591LZT2tlg8cyRsHOXtKRzsfeDrwbUZBsyd0DNpqZU4THDu7T+hLj3lTHtLkBquEmvZCvwmsmoZyY0Za3dgm6CJ4gRHtBaXHq7AtppGhiYhVAknuccSFhbg46BnRCgHYyalnBFxQPy2t4jJaeX/sBHa7OMY+9i/Ye/qimXBp7kJJA5IuXu2tB48jYPW5HUppSAZJSIO5L6TFKBdFekNx5HSBEOGz52vYmjtaAuneGkTih1FTfg2Q4PWyrPRNld5uiEsygt2vvL0uvIqG8SrJVFYaMmqx6o8am9oQMYn78PJx5f138c6O+LSCYGSk+OdTwkbjpyuurqa9VpPnz4dixYtYkOUkxOCrsfLZB/rKVmC2ZAYrra2FmVlZVi/fj26urrw9ltvwd2DuJKkl5sjH/Dul4exPxD6fT6fj7sQoEvwdAQ7tasLeOIJYOVK46PgKuivz4fDFTehSXkpfsirQWNeDk5sXofgf10NvynTUPTa87i6JAXPLbudBegfxgRDZSff5twsLXQRA3SCz2rTa7ChSovmwgLkrv8OgTOuQMCMy3G1lxIRE/xkq5KctRHp6WesmMZsuD1OncfrsaGwBo2NTSwhoYqKwYibFiOeZGLCvIZVnRfrVeBFEIiYGadK/YbjFdByvogZhRELb2GQxWmjfGVn7x/oPz7oFsmLEUPpUI2CnrU5lWhuoH7S9/VyQXS+G0cHwHeEtH1j5oybT/OVzjNUuD8lQH4/VgUNJWg+eBtW1jaMrdzf0R7XjvSRrAJjzr1zx9J6QJV0YyYWLwMpKBw4VIqjrZ2MHI5I4sbc/yjc1N5YEujF+kyJqFFOsxRrNSXv/kqvYAmszM8+RG9rC6sYE7JmVrhadkgvJbGpJceYSVU1NbwWBWir86qYFGfu+lUIvPQKBEy/XAf3H+kpS3DK238tQ+9vdWYtvi+oOYO2mT0H3hMmMbUHrzg1bGVizeZl9ZdAdpHmAfFSHKhtRsXef1C+928EX3k1/C6exgL0y6eHWaQVij9hYyNJOw5Vqxlj+clTyMrKwkcffYQbbpiLq666mr0uCon8P9iay0cUJyW83LA1lfrwSW6ObMqUKbj99tvZ/5by+mftlzv7QEkrY2YtgfKPnN+/4V5LcCwp8EIXKujmVNDNDNDL7aZiB0mEJB5imsfEzEsMvRSgz8zbixfvf8AiAXpnTgNI39OYKWIGyMiIGKDTJmxDUima+/r1G9KoW2+De2QUFgWroZIBtjfYe8GrhU59t3bmQ6+pd0qb3YBN1Vpoc44jf8tGBF85C34XT2cEUCFx3rBVDY8hXuB7znsYH5SRYKUUkIlhjRk1WFtUi6YTecjbtAZBl/0L/pdcyjadYQk+sskXDXYvvJlhZ7shy+DR5kJzRMfIW5N8BCV/bGfkV0SCdaWnG6LG+lr83g19QhvzjrTBtaCHyljblFGLdUU1aC4rQfaqr/TSepOVzhg3xle2HmMhc1kOzV/q915/pBTNPd1I/c9brMeW0DWBCgdcQ1XSKPmTNnLC+7nnwDbhR+uwpbwBzUSe+ParcAkIQOwd9+iSd0SeKDM3QcexwaU3FRJrPtP7pzlSjp9rms7sHRbcAlXsKNziq4Jngnxwf0KSDKYJz/qvJUwg5R3SYGd1E8p370LF/t2IWXInPMIicBtJ7iWoZWMx55cXG77Ky8D1iPy9++9CHKfE3c8/oC4zHQkPPQkHDw9cpnLFqOkhkvp9sPWRoS8JWWTEpOrBNkT37dixAz/99BPuvvsujB8/gfnASeYkJi9Rnr+LZK0HHHN6d1cXHn7kEf0TePDBBzB69BhGluc0Vi0L0TCt1wT1NzoP7KwZi/z/X+1CgC7BkxfsVArQn3wS+ESnR3qODaigF/ROxh4DQixicHf2C2AB+hXHfscrjz7NAvSPYoLhIWMF3SwtdC5Ad3cH1q4dlvfbc7X4JrsCnfV1rEripPbG6LsfYqy0904MlWxxEzJoqnRTRct40sITBO011+jDnljawCpknExM7O13QRkcyphY3UgOQ8INjtDx8i64IpGf0DUKD5Xj9/pmVOzbjfI9uxB1y21wHxHFekw9JvoNi3xM6L3yHccLbR2G5BzBhpNTKhjhT8GP36Ph+FHEP/AYXL28sCRIrZNFOQ/mgaFveGHuQ0hWUPUl+7AG/2hbUbz9J9SmpyDmtmVwCw1n8op+k/wsyj8wcF7wbspHeIiSWGvOb8TqY+XoqK7EsS9X6hMW0z1cEDtSbRFGf4tswstbcTC7hpGp0rtB7whHnki+GD0hQDLo6GDrgRzPf7Br03rxz5EyJkWpZ/C+5yG4+/phscwM3rxou7Hekr2z9L1gJHnN7We1PKg93LHATyW6/Cffd6G7qJkpOxgzhwh32HkpxPj86M9BSMM/9xTjREcXsld/hTZNGSY++wpL4M3wUSJ+arCo1zPnZLw92KTAIyLBK0sUZ9SiobMH2Q1NWPvy82yo76xYoYN0i4juE+qD3vpOdA9GICkhRwfXZnHsWCY++USH4FUoFPjggw9Y77lc1XPOT5YgThT6jCx5nOBYUuAgL1TQDSroSfuPYGxsPKzsrI1vCAQG6E2vzYPdZbcgq2e87gPz/Xpoc7MZW7mtwgk5Lz2J2Vl/4pXHn7VIgM6n8+sQ4nY2fO7kSWDOnGH3oNPGrzKxAlurGplkCG08OFZamqsP/CtK9k2Y4TsiNlEaI8RKrMTWKi1aKstx/OvP4ODugfgHHoWPwhHzxgVZHNJteP9Sk58QsUhqeiUS2fuwAdrcLNZj6umuxE1h3nAaI20/o8D1kGWGByOBcaLKlYP5SAo9tLurG+kfvouTff0Y/8SzCHVywEyqlEpEriP0no0dxwd1Zn3YtBkzI6lAlZCDWdUsCMv89H860qsnnoOrnc159fw5X0gtvUjXKU6uxHZNAyOOJALJsGvnwnvcRCzyU0EZ6yUbhHfg8+eFd0tQNa1OrsL3mnqc6u9D0psvs+GMuechKHx8sSjMG55j5a/I8Gn92ge7wd5Puv5n+j5vTNegqbsHKe++jlN9fSxA83FyxNxoXzhGSt9/zs0JOZAkxtYfQnXt2F/CuFtIAYcjSQtydMCsYBWcRsv3vTBrvzScRff0b0mO89eDJSjr6kHGh+8xRQdirye7OswLI8b6iXCVoZ1Czn58ajmrOtGA7bVNqEpLRvGvP8PBTckCdIWNNc5Bew7tlsz6lSU4OgyJnTdv3ox//vkHy5bdiVFxo+Dk7MwKWyT/KKfxtYBJTZYn532ae60LAbq5HhNwPOfU/at2ICF6DCPgMNpvSgH6U08BH39s/KxcBf3VebCdthhpJ8ew6unxr1aiq6EBE555kS22qc/cjwUFBywXoFe1o6esxeg92A/UMRQpQCdIfVZa5dma8Mvvh7N/APqtgUevH2XWhl/AYzXrED6itKFAeqkan3pEwxI0XNWUY+ye5OGCyQRTEzHbbNbNGjlYavIT6t36MacS9b39yPj4v0wHfBwFqQp7zKT+Ywuw9xvzGV+/oWO0akhBE8Fl1xTUoLm2muk7e41OQMQNCzFF6YwECxEjCpkvfNUzc3r/SMmgNa0WqzR1jCQxZcWrcA0JYxX0GGdHTI/xgUOwm5AhyXaM1NKLlAQ6uq8U+5raULrjV1QnHcao5ffBKzAYt/ipdP3nthaSG8yoBSEejJlY/ffcuUnvef+BEvad5KQH6W+TX3wDAY72mDMlVBS0grkTh1duTmIpIQqCVhdWo6lCl9jl2MsJ7n9Jgr+sRKq8yhZDXA+FPAuqVG45XIKa1jaWpOB8MJok1sI8ZU1q8q4FEug+09z7MVmD6s4uJL/1MlyDQxGzdDlz210JQVCED50LRYjv+Y7hbY8UmSSN5t4fBXXQdHUj8fUX2LDilt2H8SMiMT3IQ1S5S6F+sQRHh+H8e/3111FXV8cq56R7LmYLolAf0HG8iFOJW4DMGafcx14I0CXw+MAAfVCm4s5O4OmnBQXoVqPvwEFFFMsAEzmYlY2tnrF676NLcLvmqD5A/zgmGO4yQtwJrkWwLWN2jmwFF6APE+JOvTt/ZFailPzx4bvo7+5mFTQrW1s0OdvgpVmxEjxZ4afklRcaAjsm+fjXJA0jxEolxnJbW4x95CnYW1tjUawfXKM8hQ9OhiN5yU+GCeMjVuyW1BqsLqtDX2cHUt97Uy85SHJSF43ztwgrrTG3dhc3gzL3xuwcdImA53Kqtx+aRJ28GoccCb/2BqjHTcBcb3cETvQfUlVewKWHfUhXfiMI+TBcX9BmOzmjCikt7ahNSULx77/o9c8tBWE25RypoYxUidmXqGGIAurHbysvw8RnXkaAiwKzgzwtiijh23wNlSBwMH9TMLI5sRQNXd1IevsV4NQpJDz4GBxUXpjm745xFwWZelSS/N1Qe3ngBWyUDpKR1hG8uSqlGltrG1GfmYHCn89IEc7ydMOIyQGSsIYP5kReeHe4UjLeCNovrEktQ0NNDUPcELKEECaXqlwRHeEpazucWfslEWYjoTfWZWigra9nyWx1/DiEz5nPpGivGOMve7XU8Jb49glU1KLilljWklKNdZo6tFZXI/MLXVFs0vOvMaj/jReHwtdXfqk5+p63pxknFCaJWEpgimm0d+o8WscSpiQz98gjjyAiIgJPUqstwOaCJST3LJW4E9O3UpzrQoAugVcHBujWClvjGySBAbr2lVvQN/JWbHIMZRuO5LdfgZOvH+LuvJeNfvs9c/BwfbE+QP8kJhhKGQN0Ppbmc/p6Tp0Crr9+2BD3tsQqrKtsQG1uNvI2r4Nn3GhEzr+Z+aNUbY//XhIlwZMVfkq+zOhQJGW6SpqxmmCKNdXI/Pwj/Ud2EhFiRallJz0y5Qle8pNhVgkITXAipRJ/GfAx+F00FcEzZ+MKLzfETg0GkcycD0ZEhrRBMmZ23k5M1sUcI4b8xIxKpLZ06CuECQ8+DldPLywJ94ZzvLgfdHPGZupYvsoRaaELRT3Qpm5zdiW0rW1I+987rIpOlRCXgEDcGOEN33j5Icym7t2QNVeKAI0QO79lVLAEXsp7r8NB6Y7R9z7MWJqnRaoF+9bUfQzl76Q4QAkEY6aIGRofx2DjaMvTYlVWxRkpLZIevPo6dvi9k0Ittk5SZX9QpmIJJcbonTtwvBrH287mLaEq6h3hPnBNkHe94P0uSAit7chvxDfHytFcXIictd/q1V5mE7lqtJdkiQFj81Ru/e+2XC2+y644597PB2JZPilSh1A32PmI0/pBAWlRYgXjrKk6fABlf/2B0Kuuhc+kKThpBVxxRThGu4lzLXPWSCbBmTQIUZ6VFZwn+ZpzOpPH9jV1g4JhstTUFHz55Ve46qpZuOGGeezfFCKjFkwO6PQBlkrcCR2fpY67EKBL4PmBAfqg0lodHcAzz5isoNe/9AAKQi5HksdItJ5mLHYfGY2om5ew0a9efAle6Wy2WIDOy1Y9sDogQoBOQU9DUSO+r25E1aEDKNv1ByJvWAjP0QnMH5nBCnw9IVKCJyv8lHySMrACnCeYx1jbmFWHtXnV0OZkIX/LBoTMms2Ij6hq6h+rtghsk88bfN74/n8AACAASURBVFUCc4IxY9foqWrH4eNVDMZKpDetpSV6jePbonzhHidfP6GpGWH4QRx47FDgZMRtsDW7ErXtHYypW+HpxfRsCdo/K8YXDqHmBfymxi/m3/n67YTKqRAXQ0NKNTaU1+sZ7L3GJCBi7kKobG1w87Tw8+5dIB9SJZOYxY3ZoAlcM5zfmafFupwqNNXXMdk9zidT3F2QEOct2kbXjCHpD+WtkolEkEcXo81u6ZFKbKvSnkGXnFY3uMlXBS/SgXc1n5xzKPc88De8ZHnEwTDRh5EziW3UDrO+sBbNTU3I+Og92Lm4IOHBJxDorMB18QGyJyx4of6+ziBUkRRWm16DTcW1qD+ahsJftoJDHS308YB3vDdsXOSbF2btl4bpDHonKhIr8WPlmXciYs4CeMWPBb0TahkZ/I1+yyvbQD35xkzMai4hGpPSdagrbs9AChf0Piwd6QvlKMvtGXj5ekRuTTLkQnnllVcYvJ204L29ScnBVlYuBsNnzsfLYIme+GG+dqL9/EKALporz5xoYIBOf2EB2cCqnoAA/dRnX6LutZexzzcWJc7BDN5OxsGU2h2s8e21o/A+oA/QV8aGwM3WfPKpobqCtzowUFaLC9CHCHGnjQ4RSqRoW8/W+73vESjU3uixtcLRUCesHRM+1NsR7Xe8jLVj1GZpj5YcqcC2Sq0+ITHypsXwiIrBYj9PuBP7raN8uvdCHMS3CRnuh4AywL8W1KKio4v1EzqqKEh9EPZWVrhzcqhFIXsDfcMnM8XWBWJctxPeG8wRYGmzjzM24sAZVyBgxuUMqhkb7wtbD8vL7A02P/jY/YUmrWhe5aVWYZe2BUXbf0JdegrT+lZ4qXGzvwrqif7nDXrC0A/8GtBW7PswHKtMqsQP5Q3g5kXIzNnwvWgqrle7I2icL2yc7YZz+mH9lo8gjRAkhCQRwwi1tGt/CXLbu1D0yw+oO5rOyOE8fP1wa6AnnMeblxQVY0yG5+AjQhoqYSTfGBm8PbUaW2vOyDGGXTMH3uMngcHbqR3GSd55wVs99nSUhLCO9gwFBzX4o64Z5bv/QsX+PYyvQhkajqX+XnAlgkoZ+Rn490viBklEjpecWM4UPzjll9F3PwClXwCWBHiaXSgQ+53ghfurnRibuBhGKgr/FNWhoL0LyStehaOnGuSHcIUD/hXrK1liSMjY+SQYieyWErhiGbcnLS4uxooVKzB+/Hjcfffd7PRirsXmjpcPaShmosbccVn6+AsBugRPwFiA7hSvPjeIam8Hnn0W+Ogj46NYvhy9b3+EsvffQnpgHI43gWlfk3Ef2pwAR+y6aKRFA3Q+OSliqabNh96GWUGnD44mvQbb6ppwqr8faR9QwuIU6z8nwrwapS3K1A7nRYDOB+00hyCM+pSOH9Rgt7ZV/5HlNp6LAr1klYgR+rrwSq0NgbWbuy6rRKXWYG15HZqrdHJSPhMmI3T29Zju7oLRkwJkrYYI8QcfU605fXa04c48rMG+xjY9USBVz119fHGLvyc8KAko40ZTyL0PPGa4RHGUaT+QU8Mgu1nffI726ipMfOZFeCkcMG+kLxQW0PoW6of2lBoQwZ0xGw6JG7HyHjukwd7GNpT+sR3VyUcQd8fdcA8OweIACkAsG5jyEWaKWR2h6uy2FA00re1Ie38FrGxtMO6xfyPAyRHXhKtBcHpLGh9hpNhQf7pPgrdn5tbhUFObXv9aL8cY7gMXC7TDyFk95p41XTM9uYL5gZKalMQixQ8vd3csDPaCs8h9vqbmGO+30daaETqKZfTufZ5YzE5HBHGnTp7ExH+/DF8nBa6P9JaM+0Do+IlhvitXB7keaJRsdhw5fIUBLiHyfbUWTS0tSP3v21DFjMKIhbfgfOCs4W0BEhFyboji2rp1K/78809wuufke3OLBUKfsZDj+Dha7ERM1AgZy/l0zIUAXYKnYSxAN/oB1miAl14CvvvO+CiWL0fXs/9B1mcrUBgYh19WbWHH2To5Y9xjz6DF1R4n/B1xJD7CsgE6BU3Jg/TRWFvBeaJBdWiYAToRbu3NqEB2ayeDcnY3auEZOwqRC25hvskIVaDX1vq8CNB5+2rMqBwRwVBySiWSW9qRt2E1mgpOsI+sj7MT5oapoRjlJcEsHv4peYOxITJz0mZLk6FL0HAEYRFz5sMrfhzm+6ngP9nfouz9xrzGJ7F1Dokij9tps7X7WBXyOrqQ/sEKwMqaEQX6OtjjOpoHcZYNQITMGF6iOAE9h1Rt+KW0HnVdvUh+51VWOR911wOIdXHEjHh/i0K5Td2/VJUSgm8eSK1AJiUtvv0c7ZWVmPjsy/BVOOJ6CkxjLTsveGHNfs6iMe53FTRizbEK1JeVIOu7L/Xa51FOjrhslK/scO6B84FXelMCgjRqe/gqq0L3Xfz4v+jv7GTSrP6O9rh+TIBFyKAswlpd3orVKWXoPHkSx774GN1NjZjw9IsIdLTH7BE+ogSBpt79gX+n/RIlm40Z7ZfMkZzku7Y2ux4bc6vQSsnsr1bC0dMLlKQhtYsZRBAnobyfEJ8QnwyRSBozGxc7UZjVKalbWdLE9gxtFRqW2PWbMg3B/7oal6vcEDc1yCwUm5D7MucYuYjyDKvUL730Ehq1WsbebmtnxxBWltxH8pFoipWoMeeZnC/HXgjQJXgSxgJ0o5WyL78Etm/X/ceYLV+OxgfeRMH693HM3hd//76bHZXw0JNw8PBASYAj6hQ25wTon8aGwFVGiDuNibc6ZPjBGSbEneCSPx6rQFllFWNjJaNsuL2rK1oV1sgN0LF+ng8Qd97KkRlsmUSss/t4NQvMMld+gL6uLiYpFkaSYtG+ZhONSTDljZ6SYGVEIGjMhgqnIp/uPV6FnPYu5G1cg6b8PAZxdld747ZY//OygsrH6C+0/5ig8p2ZdfihUov6pmakvf82VNGxGHHjIsS7KjAl2sciG25z5xIfUZydWgEHHskf8kFrWg0jh+xo1LKgw3NUPCLn3YjLVK6ImxIIawfx4IDm3pup48VC1Ay8Dq2Jvx2vRHmXTueaI4g7XyTneBUtzCAHNOXfquQqbNHUn0nczV3IevGJpyNgjDds3BxMnULSv/N+D4ZJnGls4M0p1UzporkwH7nrV8GNpAiXLkeCqwJTpwRbBGnEy1o9EG0n0tOoyarD5rxq9HfpWqJIinXU8vsR56LA9DF+sPOVnxys42gtTnYNIj1IfeEO4rQoHj9Yhn9qmlGx9x+U7/2bMdcTg/2VKjdETfS3aOsLPV6+FrBz0JdDnA+dWQ3YUFCN9t5+HP3sf+hqqEf4aW6KeVG+CLQwZw1vC5CApLVQt1DCrr+pG/X19Xj++ecxYcIE3HXXXezn58ghCz2pSMcRMpaekzEj3hBLJ5lFuk2zT3MhQDfbZaZ/YCxANyqpZCJAP7X8bhTe9gIat61EYqsjDiemwy/ECcFLn2eDsEpQI6mt47wI0AV/cIZZQe/IbsCavCrU5ucib8MaBF8xC35TpzN/5Ps6oMnFFlerlbjVz7JVIxoPMW5T1cSYkXwIJW2EGPVcb8mrRmNPH5JWvALn0wz+Y1wUmCqzjq2Q8XLH8GrBD1H7l57/+hPVejIsZz9/ttkKUThg9rhAi2y2TPmErwWEfitEC5qy383FTdhQpdVvuLn+c+onjUzwBck1ne/GB2k0xU1A/auV2XX4ta4JOZvWQZuXg4BLLkPgZVfiplA1fMYNr49bat91FzWht67T6GWGmrCik7Ufr8fa/Go019WypCWXtJjq7oJ44iUQUapoKD6SBcba1YesI+WsDaj4t18YSRy1f7j5+mIx6zM2wgEzlJsZxm94pfbM+B4IGQIFPqWJFdhe14zSnb+hOvGQPjibqVYialqQJKR0psbGS5Y3EG1n6mQC/354XwmS61sZqWZfRztcQ0IRu/QuEIHi+IsCZe/Dp2HztjuIBGumZEjivlLWf1740xbUH8vQSbMq3bEsSA0nIiCzFp+YUOBjYYdJPR8YqWhyFTZUNKC5uAC5a3VoVeo/d/X1x12zomFvQX4OGgtf0lqswJk4UDrSapi/jx49ik8//RTz58/HzJkzmT8sxd7OzRWpSVTNmZPn07EXAnQJnoaxAN3OGJTPRIDef9eDSL75cdj88QX+Ke5AZmEpFtwTDo3PMnTaW4M0ZGnxHQhx/yw2BC4yV9B5Pzhxnmey9cMM0OsSK7GxogG1KYko/n0bIufdBM9RY9hTzAxRwN3ZAc+G+8HT3vKVNN5+OzOygvXJVdioqUdHbQ2TWDPcgCdMDrR4FnywV4hPfm8oWVH6uJQfqcBP1Y2oS0tB0a8/6bkY/uWpqwjITXokdPnggzcTEQ71WfEZZb+Lq1rxV30Tkt98iTFWE1GgiogCQ73hnuBt8c2WEF/w9l+a2KBzTK9t7R144vHH2OWuffp5wM0N80b5n9cM9mwjVtEGQsMYs6FuxKinveJIJX6saTzDXH7dPKjHjmeV40B6J0Sqxgl5vsaO4Yex2ovSmkGtT3vSKxiy5gzM/yX4KBwxh7V/WL4NiPd7IBKcl/M/QUYz0qpY33Xuuu/QXFTA2qKs7e1xV5SfRf0hGG031Aln8DtKjm798wQqu3uR+JqusEHytC6BQZjn44GAKQEWWTf5Wn0cRVI2INWM3YllyG47/U5UVbHWlzAnR/wr2NOikGbDR8vLYj7MxBq1VCQe0rD2wOLtP6E2PUWHPFt4K/xcHLBwlmXleMkPvER5Q5BiNfbaGELI169fj3379uHhhx9GXFwc461xGudtkYQdN1befYG9jew8ESIsPaKc4kKALoobzz6JsQDdqLSUiQC9954n8Ofce+Cz6xtsS61AaVcvFj8UjBzFbWhwsYVPtCcON7WdFwE67wdnpMfZ7NLXXTckHXTKshUlVTIty7JdO1B1aL/+YzvLsxetEWUY5Xc9HG2Es2JL8Pj1p+SFb9nbsMqpKaN7zk+swM6GFlYFoWoISUox6KaPB4IstMEwNW76O2mPUh+6MSNFA5bBN0NaiKCyx45WY39T2xlG2tNVsiXBargQI7oZ5xNyD2Idwwdjo8q3Ilo16KWYckFqDVKb2rA385i+CjD+8Wfh46HEjVPCYOela+34v2DtlMnvNU6Wxocm4Mj2MjMzsXLlSiTEx+O+++9ntywkyWFp30ghPUj66jlpVfhH24rSHb+iOukwRt11P9z9A3BbqDecx4pHODVU//GtA9YC10FT16bvz9bcKiY/mPLO63ANDEbsHXdjlIsC02LOj/YPvu8BKTkQSZNYdjZfxTuwsrFBwsNPItDBDtfE+Vk0mcWLtiNFEntx4N3kSwpSfztUgpLOHqS+9yaT1Rpz3yPMzXeN9LNYkCoHrJlQV7+llaOsq4ehB+ycnFg7GL0TUyO9eNuJxJqHQs7DR6LqlKAeVtsSrbm7UsuR39HNWqKIs4j4B2wcHXFzlC+8LQxvJ//I0X/N8eCcPHkSDz74IOi/P/74Y9jZ2TFZUkoKWdKYHjzxWBmhZaA9nWh68G++CUybBsyYYcnbFXztCwG6YFcJP9BYgG7jZn8ui6yJAL373uewafZixO1djcQuF5Q7qnDF+FJkOy5BuacdwsNUONjUhsT4CPzXQGbNEhV0PiKsc+CbFKAPQWaNPjhpWTVIbG5H/vcboM3NAmlZqpRu+JdnKhqVWzB69CD9/MIfn2hH0qLTkVzDqp3GTAgZDFWGUo9VM6REwdbNaMjKRMJDT8DBQ4W7ovxFqT6JdsNGTsSXHTeqbMAzmM6sehwsb0R2exdy1nyD1tJiTHz2FQQ4K3DtSB+Lf2T4/Mj3EaYPkNN4b1gNkliiIKwzR8d0e88997D/DoyJQ+wtSxDg+P+xdx3QUVVbdCeT3ivpjZCeEAhdkI6CKIgKCkgRFAELTRCQolQFlKKI0qQKCEhHQDpILwECAUKAJKT33sNf507eMJnMvKlJJvzctVyfn3nt3nffe3efs8/e+ujWvUmdZIFUnTd0H8vzSqXuLotqJz4Gp0+fxrZt25g9DNnEUNO0HY2qfePbT1OMGvFzlCTm4/ydRKZqT/6+eXGxbAFKApL9ApwULqOpif5yx5T7HlQzS0bnyb2ejE0xKcjmRKDatof7a28Ia23JZq6O68+5seAVByO7Lw0Flylgsed+EhJzcnF98TxY+fjBb+BQVn/ejsQUNWRtp8q8IVEwYlVIa8QK1CQLip6PPddikVRYhCsLZsOysQ/8PxzOxqGNd92BVF5asxL6NHzjX/wkG7si4pGSm89q7618/OE3cAjaWJqieaBDnQvEcdeuMPtShclGY7DvbiISC4twdSGVBzoj6OMxsNQTYGCYW50LR1KXeOuvzTTDMOIEe8n3fMaMGfDx8cFXX33FRlRbgtv8TAoNvRsJexCt/4svVJhNtb9LA0CvgTGXBtDJp5oASZUmB6AXjJmDs30Hwu7ftXjSuDkSHQMRWLyFAfSHToYIdbXG2czcagD9t0APmNYyxV0p+qaKGXR6ke+NTkFqcSmu/7QAAgNDUVagteMFZBrs0SqATveaN1sgzXpPYj5SDfuxh8l4WlCMm8sWMbBPCv6exoboGeKs9cJgvMJYTawUro/lhKb2p2QhraSUWaUIDA1ZsIIyAq+GuWh1FpllwW+mgKhc0hrZycjyMOeo3eIAvWuXLnj/gw+ga20IE1/Z2fcaeL2pfUg+1VpDbyup95ETuKGTcxYxU6dOhZeXF6PoadKaSO0OyjiAJhg1koemsVx9O47ZJ137YQ6MbOwQ8unnTKW5MwGxOhDAktZ93iyZmqCMWEYPL8fjWHoOEv87i9gTR0UiUO852sCJnB0EdVtry41JTY6D+Ljn3kzBpifJyHz6mAUzXTp0gmvX15hqdUBLpzoRiBMBskqxKmnzxDjARqPBFHo+Ll1dgLv5bXDhl42wb9ocjd9+j1lyBgU2qrPng99Wil8sU9H3U/7dNGx8mIisZ89wd90qOLZ5BR6v90Y3Clo1d4SelmiWKMW+VLTzldsRMN0Wk4qMtDSWQbcPbY7Gfd9DByszNA1zgp6VkZJH1PzmvAwjIwFM1LRDFHdOuHPnDn755Rf06/c2evbsxTpTl/Zq4qPJz6TQkHBiA0CXkS7U/LxmR7x27Rq2bNmCkydP4smTJzA1NWV1FdOmTUP37t3lnnX48OHYuHGj1O3i4uLg6uoq9xiSG0gD6CTGUcVujHZaswbYv1+qijvzbvzqR2DoUKTt/QVXXUOqAHSyE2vfyBKnM7QDoCtVR6MCQBcqOKdgc0Ia8iotQxo1bwmvt/oxgObrdRyZRYe0DqAXRqajPKdE6hxSZDFCdGCqP09PTGT150RtJ4p7a0tTtGzpojUfWVkPSXFsDkoT86X+bKBgpoB8ngvCU3EjJx/huYUoSkvDrV+XimrxO9pbIpSsUupY8Ebei4LPZokyWsQ0kda4jHNCQgK+++47tknnzp0xcOBAto8ms2EVFSUoLn4GY+PG8rqj8u9Uh00BPWlNWi22uMAN7bNq1SqEh4fjp59+Yu/7+uKTKjeTrIK9Uuy1ROyNTUPy1Ut4+s8B0TNBC9DQli4g5pY2NBK6LMsqlnop6tbc0rfnzI143MsrZP7nZYWFaDZuMiwtLTHY1wEmgXVff851nM/ZQt1x4M5BQcC4S/HYm5KFpMv/IeboYfi89wFsAkMwwNEaDm3rpu5aNAaPskABV2lNqtuNGhOYAuQX7y7B3RRfXN6wH06vvAr37j3BhDXDnEBaKHXRiHpPwWtpTV7JkyLXSwHh+Evx+FtMr4VTLu/vYA2HVk4aLSVQ5JpkrhGeZqM0uUDqz+p834ilkXYrBTuSMpAReRdRO/+EW9fX4NyhE3rbW6JxW9c6tVcTPa/K2BSrMNDibA3COhcuXMCkSZPg6+sLTVnZqXBZ1XYhFXdiE0hrZAFHVnBqtwaAXrsA/b333sOZM2eYImFYWBjy8vLwxx9/ICIigikVjhkzhveecgCdJq6ubtXa5XfeeQcmJvziTdIOLg2g03bVIlU8AJ0equL5K3HmzX5wPL4OT7zDkOTgj4DirbhuMQwR7sbMWohUayUp7r8FecBUoLk6LkUeClp80SJMWtOzMoSRn1iWTwWKO3npRt1Pw/H0HMSfPYVnp4+LBOJec7KCmdt+ZGYe0TqAzqvcLEccjDJDqTeS2QeG6u2p7t6773uwC22ONxtZwYvqzzVEiVTkHquyDZ+SvcDKUK4tGkWXC2+louL5c/wRL/RLpQUnLTy9evdFoxat8U4zV7g2rtsaKkXGhm8sKLhg3JTq7ao+t0w85UYyq826evUq1q5dy071+uuvg72fFGBhKHJt3Dbp6UeQkLCyRp8jZWuxxcsDLl26xN7vBMwJoFPT9BgoM17Kbqsuo0b8fBS4uHk2Buczc/Ho77+QHnELPv0HwiYgGO80soZLW2fGLtCGxldza+BuoRbdtvhxNnYSlTcrG9eZ/WAQfAYMAvM/D3LUKpYRb+2xh4VGMrpUDnLnWgLOZuXh8b7dSL11A6FjJ8DS3h5DvB1YOUhdNt4x0GDAkXQuMq8l4saT5bj52BXhu47D47U34Ni2PRNQZPotdfT95PODl+dmoci9o6TAvRsJbH0o0qb4eCysXFwxxM0OZi21x/GCl33pas4swFRpxDy79ygNZzPzRE4GQR+NgqWbB4b4OsIiuG6fA/E+1SS9myshKC4uZsDc1sYG382Zw05voMb4qnJP+PbhDV7622gmGdUA0GsXoP/333/Mz8/Q8IXFUCFF0Js1A9VbpKSkQE9PtqI3B9BLS0t5t1NmMsoC6NWiQLTY3rdPagadHqqEpb/hUK8+CDu2Ds8CWiLVNRgBxX/iX+cRSLAxQGcbc5ZBvxLqjSViNeh1AdD5Pzj6THFe1FTIoNN4/PcsgymSRqz9FQVJScwLXM/YGKPC3JGuvwUZGdoH0JXNForPMwpKFD7JQWppKX5ftgwJj6PRfvI3qDAyxlBfJ5gHa09mSNbzwTcvFBFG4ijyySWlOJSajYKkBNxZvRKGVtbMXs3Q0gyje/lDUMslHcq8D7ht5dmtSXN6IGsxogBS279/Hw4dOgwbGxvMnDEDZjYWMGkmX2hQmWtNTz+MhIRVNQrQafFIzBJpTZq6vzgLY+yYMSivqECPHj1AwVltELhRZnx5Sz6UVG+mbMN/F2MZq+TeH6uRFx+HVtO/g46uLj4mIKYmNVKZfsnblvRDCJhJa/oqWi5yx8oIT8bWxynIfhKNyM3r4fJqZ7h26YHuthbwDXXQChord601OQ7cOaju+tydRNzNK2TvyqL0VLT8ehZcjA3xpr8jjLwVs/eUd09V/b2mAJnk9ZCLyL1bSUhJ+BVnLxoj+txN+H0wFFa+fhjSuBGsm2lOlE/ZsVDHzUKRc9G643JkCm7mFuDexrXIi32KllNnw8HUGP18HUElVdrSSGeHasU1/W4g5tnBJ2lILC7Bnd9/RhETiJsBR2Nj9AtzBTH4tKXx0rvVCMKLB/gpaUnCcL17v4E+ffqyrmssM62BgeRjGGqMWUPY4/XXgc8/18AV1/whXtoadIoUUYYlNjYWbm5uMkeSA+glJSUgYG9mZlYtk67sbZAF0KtR2GQAdFrI591IRtRva3AwIBCuf25CRpAvDN/5kAH0nU0+QYGRAN1sLXAiPUcrADrvB0eyRlRJgE4L+oLIdGwnD+jsbIQvXwRTZxem4N7Y2BC9OngiKWeNVgJ0ZbOF4nNNXDyFSjZITGzBggUoLK+ApZuFVmWGZD0jnAI5/a+0xqfazco8bqey3a5l5+NWTj4i1vyKguRENHlnAKPzevrboU+gk7KPaJ1tzwfQdKXUm4mLLy5duhQPHjxg7zVi9tQEtbs2ALqyatacqBS9o7/44gvY2tpi3rx57D0tq2a9zm6wnBPziWkqa7VGGaLjEYl4VEj6FKTUrcc0GXxMDNHF216rRBP5RBLVofSSzVzk+TjGrHp2+gTiz55kYmjWPn4Y7GQD65ZOWkFj5aYFr2KzJNNMxUlc9CgTB+4nI4GEsb6fA1NHJwSNHC3U6mjqpJEsvYqXxnajwHPxUxnBGnsTJlqliUaBzdPRadDLWIMdaxNRlFuAsAlTYWtmivdDXGSWFGni3Iocg1dAVU01ewKnR2PSEVtYzEQC9c0s0HTsOPiaGKFbc2foO5gqcom1sg2vHaschxO+dUfSpQTsTMpAdnQU7m/dIGLWhJob49VXPUG6UNrSeIXyAm1VLsXgtHuon5x2C0dv19Ey+zK+ckhDTwvNzNkGgF67GXRZDxjVZ+7atQtZWVmMDimrcQDd3Nwcubm5MDY2Rq9evbBo0SJ4e3ur9PzKAuiGkhQ2GQCdPmA5j7MQs3odNpSUoNnd24g2NYHjxKnwLduILQFfwMlQH+2szJj/rWQG/fcgT5jUAXWLV6FWvL5SCYo7ATv62CRmFbIMavKVi3h65CC83uiLRi1bo7ujFQLaubKsX0bGPzWa+VNlMoirT0vuL+BR6BSPfObm5OCryZPh5+eHiRMnssMoUr+uyvXWxD58qr1U+kAlENKaeLZp5bGTuL17B9vM3M0DgcM/QZmRHsb38lc7oFYTfZZ1TD7FVnZfg2yrCDiJg9MJEybAxcUF06dPZ4fXWFRZ7GJrA6CzWuxryZAZtCGqv7Fw8UQAjBayRPGPj4/HnDlzRPX39DsxCOra51uZ+cMXsFOk5IM7F6vLD0/Brvh0ZBUX48qCb2Hp4QX/oSMRZm6C1kEOWpUhonKdglvCYJtkkxaYUnRMKXh7/nIsbuUWInLjWuTGPkWLyTNgb2aKdzzsqwuzKnrgGtqOl2lmrKcR+nn+rRRseZyCrKRE3P79ZzQKawWvN99GR2szhJAuQR3VXXNDWpZdjCJZ9dfmBiAnB3Ub55iwLTEDzhnr8eeKKFh6+8B/8HAQQHulmTMLcNZl4625DbBVWT+C+NqdtQAAIABJREFUS5b8mZCO7PRUhP+yVKRd08rSFG3au2sVOBUPxFd7NxgKVGKJ0f0PvxrPXI64Mo+gkWNg4eKKd11t4dTauS5vfbVz8wrlKcmsEj+4+HHp20mM4mVLl0JPX79GAvzqDGqtMGsaAHrdA/TIyEhGcX/zzTdZ1IivkRIw0dvJrodo8lTjSDQQAuwkQOfh4cG7f2JiIug/8Ubn//DDD3FuwxE0828q+okUdQmki5oMgE70z4z0QiSvW4+fox/i1ZwcJHm6wmLIJ3DTX4F9XrMw3tMB0QXFWgXQaQFGCzFprUqdqBIZdI7iS37vkflFuL9lA7IfR6H5hKlMBGhIM1cYeVoiPv5XrQTovF7gupVe4FLEzcSpzdu3b8epU6fwyiuvYNiwYaDIJ/mDaqvnt+T9J/oa0dikNQM3c5lAgss2E2tiypQpot19+g+CV0hTvP6qFxyt64//N9cBvoAFCaEYBdmyeysOTu/evYsVK1aw4OHbb7/NDsXHPlD1Q6koQC8vL0JpaSqMjGSzk/iugW9xKp5JFl/Mnz17Flu3bsXgwYPRsWNHBsw1TfFXddwU3Y+35IPnfSB5fO79sD4+DQXJSYzCyYlmMiDWyqVOlbolr5eCMfnXpPvcQgcwJas1FUQeic59NPwZnhSW4Eals0Po5xNZprBzE3utsJkTHwsKrLBxkNKo/yZktaajuuI8se+Srybir6QMpN0OR/TenfB6ow8atWxT53XXXJd5v4ka8oMn9fb4xBwW1DeLWIUTfz+Da6ducOnUlZUGBrdzVctfW9HnnW87PkqvOtZX9G5Iu5+Gv5IymS4F6VOQejupuL/pYoPGbVw0cfkaOwbvu4G0m1o4KK2lQe+Fs7cTmCXrnd9/QXFGemWZhwF6a6Ela01odFCghjnHVDxHUlISZs+ezXARp8ulKVFKTU0E3lIHSeyk6kkbAHrdAnRazLdr146B5lu3bsHd3V3pW/nvv//itddeY2Bow4YNvPt/++23ImVlyQ0lATrZKFWp/Vm3Dti7t0oNOqdYnVRSiuy167EuNwctHz9CircHzAaNgLftXLzaYSfM9AQMnO+RkkFfHeQJ4zrIoPMrlotFhJUA6PShTUvKw98pmSjJzkL4zz/BxNGR1R/7mhrhtU5eLBqsrQCd5gQflU1WDRAHasvLy/Hll1+yYMSsWbNgZGQEfXvN2LAo/WCouAMfpVFWDTH7uNxIYbZynDiau5sbuvbogeAWLWHrYwODOvTyVXEo2G58Hrj0OyeaJc6+4OhpxKAgJoU6WUe+a1cUoBcWPkZKyjZ4eHyj0lDwRctZAIosKZ+jCpghexiyiVm4cCGrw9ezM67zelplO89KPmhel0u321PUB5oW94/jsnE8IweJF84j9vg/aNKvP2xDmqGXqw2atHJWC+gp2y9Ftue8eKVtSwFHXUPlKaec33dSXj6zmbNq4gu/QcPQ0sIUrYId6pzOLa2v+bRoLimXOmTqBt1IiPL6rURczs5H7L//IPHieXDCWMO8HWEmafWqyI3T8DbyGDSqALKqQRChsOb6uDRUlJTg6vdC54vAoR/D3NML/Xwd4BasWe0OVYaIN2OooMOJtPNSGc35h6lMgyD22GEkXvqPzQELNw+MCHWDSR1rEEi7Zr4abFXYgmTLeSAqReh/TmUeTk6sJDLEzBjtQ5zUEqVU5V7L24dXm4LH4YXvuOKitAcOHMDBgwfx8ccfo1WrVsx20qQ5eYurHgyU1ydlfxen40vuq2drrJlgawNArzuATjXkpG5MC/ojR46gU6dOys4R0faUUSeQT9ZGfE2ZDHo1L3QpAJ17accUliDzh4VYlZiAbgAD6IZDRqK56zR0bvkPuyRtA+i8Ig/eVmxBzZqCFHfhYjYZJ1KzmQ941K7tyIiMYDZjZDfWNcgRwX5CJU5tBuh8FkOyIuXcYpaz1urUsSMGDR7M+loT1GaVHxQFduSjdVd7JiqPJx5N3bVzJ/49fpxl0anshJSpTcIaaR0AUWAo2CasBjs8hQFQWY0EbAjIc23+/PnsfcTR0zT2wZK4AOUA+nZ4eAjp9so2ssAhJoGsRosyWmCUpgrtmChQNW7cODg4OGDmzJnsb+pY8Ch7vZrcXl3LMQZwbiRjT3wGMkrLWPa8MC0VYRO+hp6pGYa194Klg/YIIHFjVxN1lqTVsv5pCvIT4pl4qGOrtvDo9RZzOAls4VzndG5p84aX2qxGvSmdi1hHRx+nIraoBHfXrkJewjOWObQ3NUH/pi4w9NRMfbe6z0PBnVRUFEhn2xHFXR0aPn07oiNTcSw9B6k3ruHxwT3scltP+w46+nr47A1/CIyUs2wqenQFAnNb6DuoVvYobbz4XD3UEb8kJuNO8v7Oy8fN5YtQUVqKllNmws7EGB+09wJ9O7St8a0d+Vh20vrBMvLXk7DlWTqyU5Jwe9WKqmUeWsYuoj7wln1YGMA4QPmyDy7JQ98LWjsRU/iHH35gTGFtDG7zloOqqEVQbX40APS6AegkINSnTx/mh/73338zers6jSyMKOJEx1W2yapBZ1S+Fo4volbr1wN79lTJoHP0V1p4PZo2jWXQyc090dsDBWM/QXerr9G5hRCgU/ZcWg36miBPGNVBBp1Ei8RBhfi4VXnJKphBJ/GQ7PtCcbisp09wb9NamDg4IfjjMbAyNsSQnn7QrbQR0maAzqfkLk3BWLxek+bS77//jvffH4CuXbuBzSGKfOprh32SIs8Go3Vel0FvJQob0TrF5isB2MI7aaAsOrUlS5YgOjoay5cvh4GBgdbVTikyBpLb8NH+JbclcPr555+z4MRXX30lBKeaEk2ROJniAD0aKSl/wcNjmirdZ/vwUv3NDUB1hFx7+vQpy5x37doV77//PvtzfbJXEx8kXjojT8kHdwwKbiSFJ2N3ciYy7t1hgUsSTCThRIr5fNk3qM7so/gmA7GhZPpfiwdwFZxRNA4RV+JxJjNX5PfNeT2/62ANZ/L71qIMEdetmqI2c7ol65+loSwvj1nOmbm6scwhCQf2aO3OXA+0oZGQXVl6kdRLqabVo+QFk2bNmbhMPCwowt11vzF3g+YDesDAvzMyzAT49rVAJY8I5HRyQHmzAFgvP630vrJ24A1cm0g43yh4Vlo7pNxIYvT2jHsRiNq1TQROSSSwS5fGWrl2UIVlJ3Ncs4uRdjeN2dNyFH/PXm/BoVVbvO1kDTd6L6hRRqLgrVBqM445K20nXWKUNVee8cGxEmJiYpi4cIcOHTBkyBB2Cm2jt9M18eqUaECfgwIVOn36NKi4KzUzNbBxWVkZs9whGgfVKH7wwQdqH7Vp06bIzMxEXFyc0seSCdBJBEo8OiwB0MXFMsjPPXzSJGwGhAC9sTvipo7BAMFX6KKlAJ1XnVXcSkdBgE4LmTsxmaD6c87nN+ijT2Hm5o5XPGzQssWLWiptBui8KqWm+szqgmtMFC8iDTQXqB06dAj79+9nNPegoCAIzPRhHKT99mqSDw0fhU2SRSC+kH/w4D5++mkpBAIBfv31V+HHxc9aq6yTlH5BkPgZUfjDU2VSncWPSZlzKqWhumuqv6ZWU+BUUYBeUPAIqam74OExVZXus334as4kD0qB1x07dogoeprwClb5wtXcUV0Vawr43XmYxgSQHm7fgsyHkSxoaersivd9HOEQoj3+vuJDpXAAV8HxpXE4GZHEgFj4iiUozspE07HjYWnfCEN9HWGipe9JZQO2Cg4HSIAw6m4qK3vgxFQ9Xn8Djm3a4xVbc7To4KE1AQuqES6Jla7krmdrBKMmqtmAcRoPBM5y8guYgnkjFyOEDhuEbEFj6PlYYWyI8roZNQHQa8JqjRiY9x6mCr2//zmApKuXEDTiU5i5uuODxo3QqA6t5fjmMW+wQkmtEaL4H7ibiITiUsQeP4LEC+cQOOxjJqL5UbArTLXIYk607iNW1NVkVtInrUkmMeS9E56XliP/RgrbbN++fTh8+DDGjBmNZs2as7+ZhmlfkodXn0OgyxI5qjYa18JbqdD5YT4ErUMhGDkYuqYGWvM+lNWvem+zVlFRgUGDBrHF2+rVq/HJJ59I7SvROygLR7W8Tk5CW6b8/HzmfS7uoU5/p2MRyP/000/x22+/KT0n+AB6FWskDqDv3w+kp6MoWw9lKfnsfNdv3kTh6tUigP7YvRHi5k7CsLKJ1QD61VBvLBbzQa+rDDofEK1Sf68AxZ2AKtEX9yZkIL2gEDeWfg89E1M0+3wiBDo6+LRjkxeUeS2nuPPZStG95gAq9bnoXjooM0TteUUFRo8Zw/79448/MgtAZa2YlJ68NbQDX/ZMVyxbIBlFXbZsGUh00c/XFxMnTWLCYMZN7VUSlKqhrql8WL6FuvhBr1+/htWr14hYFOrYUsm7WMUBehTS0v6Gu/vX8g4p83d5zwW3I91/mgfUKBNANmv1OUijjoo11a4X3EzFqdRsRCYkIfyXH2Fsa4+mY76Ejb4eBrR01yr1dvGbr3AAV8EZRYHMvU9SkZxfgKs/zIHA0JBReY10dDC8jafWjoO4AKhkV9UJPBU9zMSxRyl4WlTC/M8LU5Iryx5M8VGoK8y9VQO9Ct4OpTbjVNal7aSO+CNZNaXG5jDNmswHkXi4YwuatbdDo859kWbgDd2mtpjgpbwtZ00AdLYGvZ4sYopJjoUqugz0TByJSUcceX//tqLS+3smHI2N0C/URWutWeWy7BQUimNlkTdTsDk2FQXEIvlxAbOfbDn5GzSiMo82HtDXUu0a3jr8YDuQgKyiTfwdM3/ePCYS9+NPPzEGojrvGEXPr+p2+eTuIkOfRdkghfg1iMRZV64EgoKAzp0Zi0LXVB/knkLram1s9R6gk2gS+QNTvTkJIEi2Hj16sLpFokh6eXlVEX4LDw9H7969mSqyj48Pm7wXL17En3/+ybzTL1++zPZVtvEBdDqWsb8NaJENMYBeMeozFHwyE7h8BbCwwNXcXBSvXYuTHbsi4OxJXLHXReGSBRhWNkkE0LkadEmAvjbYE4a6tU+B5qsrpZeLKFOsQAad/GIvXH2G8NxCUR0Zp8L6irUZWrzqUUXZMz6ebNYOa53NGjd3+ISBiIZJoLMstRAE2rgWERHBHAWoEc2dzR016/OUncua2p5PAITOwdXVi2fZKPjGKY4SvZ0E8rSRmqXqGHEfDUa9kkG54yz26BxUgx0YGMieI2U+1spcn+IA/SHS0vaoBdDpugrupIHGQVbbvHkzzp8/z352dXVl9ec1Re9XZpzU2ZZXxVqONy2XeaQa45Nnz+Li7p3w6PkmHFu3Y8Jobdq51djcUKfPtK8mPcBpDPPDU7A5IQ1ZcXG4u/43limmjHFbS1O0fMVdZNWn7nVren/x7Ja0Y6vCjiGAk3EtEdvj05GblMAAuo1/EHwGDIKLoT76Uu2xDDtLTfdPkePJA2SqiOVx4OxwYiYSS0oRvnwxirOz8MYgd5R59UCknR8cvKwwwdNRkUussk1NAXQ+XQZltWYo4Jl5PQlbEzNQnJWF8BWLYeXrD78PhqCZuTE6tPcABcO1tWlCl6C8Cr39Nh79vUNU5hFoaoRuXYniL9DKIaAAGyW5pDVl5wJXRkNrC2JfOjo64ptvhIKu0soqtWVA+IIUJmL2q8peryg4LAbQuWPUZMJD2euU3L7eA/TOnTvjzJkzMseB7KloG2kAnaJKkyZNYqJyJMZFWXYC5m+99RabzHZ2qlGJ5QF0EkBhXp+VAP353n0o+HIRng8dBly9ijwdHZxJToLl/gM437svvA/tw36zDFiu/B1Dy75C10qKuyyAvi7YEwZ1AND5Fh6kzGzK1dEoANAz7qdjR2QiSp8/x/0tfyD7STSaj5sCYwsLDPJ3gnVg1Xuj7QCdaFelydKtxmjyUgSPRGNo4ck1oiURPYmrP6c6bSaOpoIdkbovCnX3Z9R9suGToV5MdVYUpCiKFDII6MNCgiZPnjyBo4MDvpszh9VPEkB/mdqN7eewbdNWjBgxgr17JBs5SuzatYv9mSj+BjYmLMBXU01xgP4AaWn74O7+wv5OlWvioz2fO3cOW7ZsYYclTZE33ngDho1MVaa/qnJ9NbEPE3njpTOK6ZRIXID4Ipa0GaKiovDNt9+h3MoadqaGcCS7Mi2rr+S6wGsxJycwIXkfaMGV+igTu5IzEX/2FJ6dPi4SD33Pww7OLZTPktbEvZZ1TL6FqCosKdJ+uf8wDaczckXq7QTMCKB1t7dEQHs3rftu8GlQqBKIpePl5RQzi7mCjHSE//ITG/6hk3yRZPQqzjUOQpCtmVYBdMr4lyYKWZOSjTK9JISpaCNQdik6DbfzCvH08H4kX7sMrzffZjXob7raoHFr7bJXk+wXH8tO0aBs8eNsRMVm4WRGzgt6+/BPYO7uicF+jrAN0s7yHxoLvrlg4GqucJZXKCKawpgZVKZLVtKtW7fGyJEj2ZArC/YVnX+a2I6z1pV2LHLAIiauKk2kebFyJUp9faHfo4foMMqMrSrnVmefeg/Q1el8Te0rD6DTeVk0aPtmlB04jqKvlwCbNgFDhzKAvvvoURyLi8NQHR1cGjAYlqsX459G5XBevQlDyiaLADonEnct1BuLxCjudQbQ5S08W1V63cqhuJOXK9GUskrKcDw1AycWzIGhjS1CPv0cYeYmaNPMiQmFiTdtB+gkAlJ4O415UiraqLzi5s2bWLx4MSwsLOo9QJVnL6bvaAqyG6FG7JZVq1axf8+bNw/29vY1Vnet6P2oie02LVmDo1sOsNIbUlrV19dn/SZHCgogUtPV1WUCadZ2NjAOsmW2gjXVlAPo++HuPlmtS5FFdeWU++ngXbp0YSVHrLwh2E5pT1y1LrCGdubNFITYSc10ias+c+waKtFaSVmBeqBqzzKcRGGUUWepTOaYsk0xiTk4lp6N8F+WoigjHc2+mARTGxuMCPOAkYdFDd05zRyWLzClq6QgEvcMXcrOw728Iqbenp+ShFZTZsLc0ACDgpy1MqjFF7TWdzKFobvi95ADN2QtRhZzjw/sQerNayDRwE7+9/DQvC0uejRDmIWJVgF0PmYZC8g3t1dI8JG+rXkx2diRlImS8nJcXzQPzyvK0XzC17AyM8OgUFcYaYmCv6wniG99oIhrCWdheSUjF3fyCoXPQVICK3uxMjbG4HaeWktvpzHh02RRRnVdvJ7/ypUrWLduHRPQJrYwBW9ZkqdSXFkzbzPNHYXvnaAOkM67kshccwoXL8beR49gUTkedOWq2Phprsf8R2oA6DUw0tygnt90FKG+IVLPQB8gvaN7UXjuIfDZZyKA/mDrVvxz9izy3dwwxN4RR7r3ROqIrrge2gQuqzdjCMugH2HH1DaATtfE73XbiC2y5dmsib+ob966hd9+/RVOr7yKtr3fQs9GVjClF4yESr22A3T2Ak4tAEV45bWjR4+CMqcE0qjunDLJ1LQ58imvT/Q7q5+lIIWMLLr4MdatXYsrV69i9uzZcHZ2ZqCUeWO/ZI2i3NvnrcPBvQfQpEkTNG/eHDt37qzSy5ZtWmHMV5+zCHpNUxQVBej5+feRnn5AbYDOxFtupyHh6TMWhCExQApM0H2nFhYWxrRAqN8UQWfvj5egKWu1Jhng++OPP3Dp0iVmK0qOI+rU7dbmcPJRemVZTkpeH1uIU+1uxXNEPYrGksWL4B0UhK7DRoL4R53bukNgYVCb3VL6XHxsAjqYSbPKb6WcIzNm0u1UxrxaH5/GLLXID97MxQ2BH40CKXd3bOGildZapWmFKI7OktpDZcRQxQEJjQFpt9z4aSF09fTQ/MspCCzZgksuLfHAuqXWAXRKRuTfTJZpuWngbiHXs5vTtAjPKcCN3AKmPXD7txVo1LwlvN7qh9aWpmjV0kVYVqnFjU+bg1mrNudnD3IlNIdTsxEd8xQRa36FlY8//AYOQYCZEbp3FVq0amvj02VQ5nkQXz9TcufRo0eYM2cOK9fVZjo3WyOnFIAcbqS1KjpWCt5Eej/SO4Zq8qklzpiB06mpiPfxYY44LGBB+gZa6PZB19sA0BW80cpsxg3qpUNnEWTbROquRPnGmXN4fuNmFYB+ZN48PIiLw5uUTTt+Cpv7vYGSPi1xu1UzuK7hMujaC9AV8rrlobgTTZ6BuEqLrfXr1zMtgOGTJiPUuzEsHc2YqJpkqw8Ana6Zr86K6xMBEq5RzTHVHtML2ijAVutoiso8F+wFzLMoEz/W9OnTQe4MixYRN0S766aUHQPJ7cvzSzCp/1ikJghVV6mZmJjgRkwEugzsie+++w6mpqbqnkah/RUH6JFM88HNbZJCx+Xb6PbZG1g+5XuQc8aIjz7Cyl9/xZ07dzBy5Ai0bNkKBvam7Jmvj6UdsvrNa7XmYgbKFog3cfoniZtOmzYNpiYmWPj992wzZb2C1b5pKh6AL3Osb28Mw8ZWco8svpDdvGkTzv/3HytV8/X1ZQstE1IorgdlQHzfAiMFbedo4Zn9IB17U7KQX16B3JgnuLdxLQtou3fvia72lgh6xU0rF6B81lLMTpTuowKAiqu3PZGeg5iiEiRfvYSn/xyAQ8u28HzjLfiWr8EJr7ZIMmirdQCdJjtfsI4BCAKmPLaq3JqrsLyCZY7P/vcfovbthlfvvmjUojVGuNsLx1LLnwnSJSi4IQy8SWvyhEG5eUAA/fK+v5mCvf+gYbBs4ov2HjZoIeb6I/clUwcb8JaI6unCtIVieljcfOD0a/z9/TFhwgThd0KBgE8ddF10Sj41f1VKPCUz8k8nT8bFnBz0XbqUrbFE5cZ12WmeczcA9Bq4MdygXr1wGf66PJYeFy8AlQA9++efMe3ePTSrqICJtTU+/P57PP1tJRZ+3B+OHZrhVstQuK2lDDpR3IUAnatBl6S4rw/2gn4dvYwV8rrlAejiC9fk5GTMmjULjRo1wty5c1mfZYmk1ReALk+5m+sz66uREYYNH46WHduw7KEii5UamM4aPSRlTJlSfZ5sYbCC/HxMmDgRISEhzP+bmio1iRq98Bo+2Nw5c7Fy8XJYGVmgQ/sO+H3rujoR+1IcoN9DRsYRuLlNVHtkiCkyvv9o5D3LFB2LwBaBLiplMfCy0Nq6alU7z5cpkMxylGUVs0U81/766y+cOHECvXr1YgKnbOHSzL5evB/4hOIIhFDmWB6QEAf5lAXR19PDgoUL2RxRJcui6j1Udz/e+mNxW1KeE0VFJOPYwxTGHMhPiEfEWqEVpe+AwbD2D8Sg5m6w85If9FC3L6ruz8e4U4RRwbl+sOxxdj7iTh1Dwn9n2eX4D/4Ilt5N4Gg+G1dt3kOSvnYCdL5ngvrBR28Wt+YtLirC6TNncPHSJSQmJKD5qM/QM9AfPo2tlSoXUPVeamI/vhpkvnEQulukgIH8yvUDXc9ni39Celk5WjdzgoOT4iUTmuiLKsfgVTFXwBpNXICUc3/p168fevbsKVw/16DArCr9ldxHnB0l7XjGAbYKs6OksZTujB6NiOfPMbBSdFkd2rwm+ivvGA0AXd4IqfC7+KAGGHmAIv5S28WLxGFA0rvv4tHs2cxS7XU7O4S2aY0m7/TDw0WTsWjCFDi3C2EA3X3tJnxYNkUuQP8j2At6dQTQeRcd9ibC7LeMGnT62BTeSRPVKK5du5YJ+FH9KdWhittxSY5nfQHofBFC6tORI0ewZ88eDBkyBB06dNBqSwwVHg22C5cBo2AEUfgls8MPHjzATz/9xETB+vbtq/V1U6qOg/h+xBb4+uuvkZWVxZTKPT09NXFYpY+hOEC/i4yMoxoB6HSRJGbTq0MPGBTowMnZGd8v+QHuQV4QWGg3LVPpAa7cQR7FmQtEMgrznVRUFAnFI3fv3o1jx46xf5P1nLGxMRTNtqp6rZrcj3k/35BN6ZUHyhjV/5bwG5GWlsbEXFu3aoWRlQ4uhh4WIC2L+tD47db0YRIiW6SW5kVFXgny7qVjW2IGCgrycX3xfNZtU2cXBH30KczMjTDiNT+5AY+6HKvix1koTS2UegnyaL2ca0xWaTn2pGQi5eZ1PD7wNzuWbXAomvTrjzQLfTQx+Rx3jEZqLUCn65XHrKO5IFneJOmjLu54Qcdc+ssvMLMyhnGAnVYyKKTddL4yQD6au3jA8+zZs9i6dStTLif2GQX8GAtBATZGXT4LdG5e4UQ/a+hZ8YukFUVliujcNAY0FvSOdHd3B7F2WSBXS0VEubHnY5Qoo00hjkWyMjPx9dSp+AzAXYABdBoH41B7rS6bawDoNfBEig9qiKu/zJoKVAL0w15esNi3DxHNm2N069aAgQGMB3TCrZHDsHjSDDi3DUZ4WFN4rN+MwaVT0K0lP8W9LgG6uJBRtaHVAUxC7KE7oB9gaQlUKjTTdmwhejddZLn0+PFjJo7m4uKCGTNmsEPxqTjWF4DOFpb/PcWj+1GMGSBp40dMAQKuRO0mCg6puGqrb6c6jw59SH76dhGiHj7E2M8+Q0BAAMrLy5klCIFVaqNGjUKLFi202hZEnTHQxn0VBeh5eRHIzPwXbm5C6pwmGtnq0RwgobyXvTGl3euU8amQ2VWidFbkl4msF2mf0aNHs+2/+OILBAcH82bXtHUMC8mpIUd60JpqxylLIq1RvW7hvTRRsOLChQvYuHEjBg4cyJxaqGl7hki8X7x2azwUb/rGEtOMKwMjcbiTx08g5thh5vlM4nA6+npo18kTrWyrlkpo25yQlz2WpbtCbiAEZmhOUIsuKMaqH5cg91ksgkaOgZmLK8p1gRteJuiRN0rrAbq80i9Jayy69wW3UkVzoKioCOPHjxclN7ikBtPr0VJbManPOPWLFMhlCEnKyqCKA1vS7KH1I62hSHy1Prm/kEYRBSmkNXlCceLsTBo/Yp/m5ORg2dKl0NHVZYFLCmBqexNZokm5UEUFNNn7ITy1SiCXDicO0OvD2roBoNfAbBUf1OZNmwmpN9JH59zOAAAgAElEQVTqaioBes6QISheswZmY8fC+P59mDgBun3fwI0Bg7D4qxlwaROEm2EhlQD9a60G6PRgUH9lNUZBnDS0GkCXVDMlkSgCqkRxpoWowMoQxn6y7aXqC0CncTn793H8PmcFU2ZfsGABAySUQdy+bRvCb90SUbuZanUIqbjq1MAsrdtD0sLqrx824J99h5hK+ejRn+LGjZsgay2u/fjjj7B0sRXS++uIEVK3o1T7Z1ccoN9BZuYJuLmNr/2LfEnOSGI4lPlRtBE4p4UXV/pBzwRZE9Y34TzeIC7pLzRvBLJdrAJmqTTmQSbI55haRkYGW4DTe5OCmhTs1DUSWjVqe4ZIvF8Ft1JEAQfJeWDkbwM9MWEvuvelz/JAIlDiLbWwCLMnT4aOvj6ajv4S+mZmaONugzYttdtWi/rAeZdzwQbJMRCYGTDnCskmSYWOi4tjbh/WPr7wHTiMbf7A2Qg5JgL0yP1E6wE6K/26nyEzcMW0FSgLXCmOK+mZzYmqEuOMmGfUZPlGl5XlQk9PewM3fDR3aSCTY1JQnzlWDa0ZKYhJTV7tuqLv39rYjpdBQBnfpnZSXVzI/YaCdlz7559/sHfvXrzyyisYNkz4PNSX4KU4TV/amJPNLJ/gIb1T2LNUyVz+999j2LVrNzsUAfQIAB/9u72aE1Rt3F9lz9EA0JUdMQW2lxxUWbTvtIMHkXToEC61aIFhOjrQHzkSBlFXYWAtAHr3ZgB9yeSZcG4diJvNg+GxfgsGl70A6P/c+Qo7K4bgYrNmVWzW6jKDTsMj+fGQHDKTBZ9D18IE2EykfmETF5eLjIxk9M12bdti+EcfKfRyqU8APTU5FdPf+xIFufkYPnwY2rV7Bd8vXIgnT5+yvnL0dm22f1DgMZC7CQVzTm/+B+t/WVMtYk70/o9nfgY9e5MGcC53JDW3geIA/Taysk7B1XWc5k7+f3Ykqp9l1osyskXiw8H52dLfKFNGjJP6ROcW7wsDZeEpouyn5G2XRnMvic97wSSoqGA157GxsejUsSMGDR7MDmHobQV9O+N6NYs4YStpF23gbMbE/6gRgCXWkTTmwdOnT5kNY+N27fHugAHwMjaEaRNrxq6oD02eLouk/Z44GCHGzY7t23HmrLDufPiYschy8UQ3NxuM0xEGMuoDQKfrZPX0t1NlKroTOKX/Sp5mg3QpuCbuesFZkkpm3MXnwZ07byE4eL/WBrL4MqiMrk46FWKieeLraw6MESglcMqSHKH1J2jHK5xIegRWhjCkhIUYTZ1li4lNUZkEJGtesuilbYhNQCwCbVdvl3xP8ZV8yLNblbTrW/Xrryzx9f3338NwzRo8D/KBw5yx9eHV2KDiXhN3SRKgE42RaqspMgRajB09AvTshT8+/RQtAOwCMKt1a+iPGQXTmAuAQGhFdpMy6JNnwLl1EG42C4bHH1UB+rFrPbFPMBmnwrqDjLi+nTgNgcM+xoYQLwjqsM6E1VdGpMn80Oj8vAzGOqnQ3byeDb94XXZqaiqWLFnCanFJAMjHx4dRvImOwtfqE0CnfsRdf4QZn05hSszjJ0xgtVLUWoSF4eNPPoGhi3m9EXZR5xkicHL8r8NYOWcZbMys0LVbV/R67y1Y+jWCnql2WyWp029t3Vc5gH4arq5famtX6sV1iQNPvgvmsuf9+/dH9+7dQVQ/5glfT5klfH63erZGVXy72ffhXjr7nsTExDDWETUzU1MsWryYWfPVJ3E48fvMJxbIam7JWlJXhwW9OfYA7Z+QkICfV6xAi5YtmSUntY8//hitWrUS1txKsSLV1geCCXvdTpVpvyku5CT5vBw6dBD79x9gXWvdujVGjhzJgIlRkC2GR8fVK4BOFysvuSF5D8Wfh3793kbPnr2ETJJg2cw7IUDfBx0d7bQck8fCJICmYyjA85IKVldO7wdqFLCbP1+ow0DsO9K30XYRMGnPZOGDDJSLBWAktxHvk3i2uLi4mFm0nj9/ngV9X3vtNbz77rtsjIyDbaFrqKetr4Bq18Xn9kEbs0CFT3VmpaSux3///YdNmzbBxdkZs8i6deVKGLX0gN6Xn9SLsWjIoNfAbZI2qJzHIyltpixdCrvx47F9/HgG0PWbN0eAiQmM5o+D3pmjgK6uEKC/P5gBdJdWgbgeGgSvDVswqGwqurb4h32ECKDvFUzB6bBuVQD6xhAv6NYhQKch5aVvrlwJGBtDd+wnbNHFAheVbenSpbh///4LhWJapJCwhYTvueRtq28AneoP9y7+E7v+2sko7qWlpS9E0UiVmaK+PNYqNTBt6/yQ9GGmj0l9BR11PoAauADFAfotZGWdaQDoao45o7ZGCul4ZJ9maGgIPb2qCynysSU9DmpLFi+GuYWFTDcLNS+n1naXVKaXPLE4zZ1jV1G2lBbg8fHxbHOuxpQACVlQStLia60zapyIUyGXdQgKVlANMWWNqdEYHD58GAcPHqy2CwlrkuCmeOZdjUur1V3lLshtjUFlcOItPT2d+TtT/TXNCzs7Oxa4IiaFwFQfQ24/ZpuLZ9B72VtikJN0jQO+Dud0ckB5swBYLz9do+PC5wUueeK8vDzMnjULefn5CAwIwLjxwnIjeRRgAuhBQXugq6u9gI2P5i7rBhClm6jd4rRuyrbXtxIgeQku6j9X/iLuekTOHuTwQe3DDz/Eq6++yv4tT3izRie0igcXFwOVdQhJlog4OKfv6sYNG5ijAbXBgwejY8eOECz7HkYd/KDzWUMGXcVbU/93kxX1oJfOttWb4HzyJFNsb0sZUwDuffvCNiUGxqvmAPv2ASkpQHAwbi77RUhxbxWAa6FBaLxhMwaWTUO3KgB9Kk6HddE6gM6rUlwJ0DFiRJWbnZKSwoQtnJ2chNEu8m2U4gksbYbUN4BOfSjNLMTcUdMRHRXNujRixAi0bdeW1Vzz1dgo84QU3T+Pkk/fhcWZZGV2a9j2/3QEFAXoubnhyM4+B1dXYZ1fQ1N9BEiPgejLC2bMRczTp+jx2mvMwYFo7V5eXiKrQS5Dqug7UfUrqvk9Wdb0erJMej/509J7kAK9tPCixtVVkiLxxIkTmYI9BW5ZdshIe8GGvNEkcVQuC8i3LQVx16xZg1u3brHNSETUxsYG9vb2LLhL40JaLWRJWd+CnPJcDSTHhTyef1i0CMS4e+edd/D666+zAI1xiJ1Irfv3uBScz8yrAtCX+rvDzkD5uVJbAJ2AReHtF64NfPPhwIEDLFBDZR4D3n+fBfZkieqJH0cI0P+Grq72inFyTi/ynh3x3ylrHhUVheXLl7NAJ70TGAOlHjZ5TAp6vvVdzVES+6LufPXq1bh+/bqISUPdlicsp81DI0lVl3atFHygsaAAn3ii7+LFC9iwYSPbhSzmyGqOMUtmjoJOr9eBMWO0ueuia2vIoNfAbZI1qBQtT78Wh9vjJ2F9WZkIoBt0aokWebHQWbcWOHAACA9nImo3L1wRAvSW/rgaGgTvDZswsGw6urU4zOhJwgx6dYC+KcRLK+qLZFJ1ZAD0PXv+xpEjRzF06FC0b99eaIPQzF6hzEh9BOg09Z49icWn749A84BQTJ09HSZOliwLoKmWd2ojKr6d0gDQNTWgL/lxFAfoN5Gd/R9cXYU+9Q1NvREgquKir+ch8kw4SktKpR6M6gpJNEyWyrl6V1D7eyuTJeNsCOmbQHW2RkZGQipzgA0IzNfnJo9NwPVt1apVCA8PZ/0mHQJ/f39Rt9mC3ckU+s5m9Q6cc50gmjtZrcprRGVesWIFcnNzWZaQsmNsLkiI6mWWluH7x4kIShuOu8Yj0cWtN3ra85fKyTp3bQF0Oj+f/R4xKFauXIm7d8ksCozGTSUfBEhJr4DYE/KaEKDvhq6udj83fG4Pkn0kWjfZzLm7ueGbStcfvjp8eWNU179LWg7Lux4qdSAGjaGBASv7oUbPhGlrR3m7au3v4uwyZS6So7XTPt26dcOAAQPY7kzTafB7AIkoNgB0ZYb05dqWL+pBNN7skeOR2rUnzv2+Cs4RF3Ej0BvfNG0KzJzJfNFx+zZgY4Ob/13Gj5NnwokAetNAeG+kDDoB9EPQ0REwgL5HMB1nwzrhe7EadGkAvaKC6nR0a5XWxGgqEekiKxDRXZYA6LGRkRAcPoyFT54wiy1O2ELP1hhGzgYAUT4NhB+TzKm9oPdqL5j3rlr7Gh//GzIyDiEkRFiPpqmWs/sHGLV7GwbOfpo6ZK0epwGg1+pw1/uTKQ7QbyAn5yJcXEgXtX628vJ8lJfnwcDAQWs6EHHlFhaOmlnten74/ntYN7Jldef1kcotbYD5gIjk9tu2bcPp06dF2RD6vT5SuWVNNHGRVGnbECAjUEpZ8ilTprCyKPI1NnQzh66JHqvJlVcGpjWTXMaFKKLHEB0dzco9aPHu5+uLCRMnMiAiC4zRdtduvQk3t0lwtO2q8hDUJkCni+TGgtTpDx06xHQnPDw8cOLEcezZs5f1g/o9depUeHp6skwpyyYqUNooBOi7oKtrqPJ41MaOxKpg60cZIpokjkfPRX5+Hg4dOswuqVevXnj77bfZv0n9n1wA6rRFRDA2rCpN0ffjs2fPWIkH2ZQSk4QYJczhI8gWuiY1wJJISAAePAC6dFGlW0rtIxNDyDgKzQly9eCsen/++WcYGBgwxXZ6Pqh0uAGgK3ULXr6N5dISPv6YAfCfduyAT2wsNvbujV2OjoCdHRAQAERHAw4OuHnuIn76ejYcw3xxNSQA3pu2MIDeNewgnj8vw4mbbysM0B8+/AzGxo3Zh6o2G1lgFEWmgyiN1OhlkjF3Lop0dFAxfDh7qfy7cSP6AVgJsIg41c+QrQjR1XTHfgpQpmDyZLY/fSgrunWA1SyhbQLXagygd3LA84+Gw3I4yfDVv5Z3ehMqZk9uyKDXv1tXJ1esOEC/jpycy3BxqR+1XNIGMy7uJ6ZEr+mgnro37sD+A6hILYKnsROzHRzQvz/MHa2ZUKYm2TXqXqcm9pdH5aSyp19++YVZblKjbKGtrS37PjA1Z73qQlcVFcV4/rwCAkH9UDGnfvEtROkbSbajNBbffPMNA+m0ADcKtGW11i9LI4oqU6OuBGRUY3327FlEPXyI/IICvPfee/j1119ZzXmfPn3Qq2dPob+zgwkM3C1kMgcIkLq6ToK1dWeVh6q2ATpdKNXc/7fzJFb/9ju7bnNzoaJ/QUEBq723tbER9t/JlGXPFQHntD+NR2DgTggERiqPR23tWJKYz2jcdM/JQs3V1ZWJwVGZh6QOA60dPyCqv74+JIUma+t6q52HACGxYlVsfGKa3CE3btyICxcuoEf37njn3XeZbS2VuZD/u8bat98Cfn7AwIHA+vXAnj1q9UuZ66Lyn6J7GTIDNfS+uHUrHPfu3hO5Obz//vvo2lUYkCMBUcMmVsL3QwNAV8AzRpm7Uw+3VQigW1lhyc6d8IuNxdo+fbDP3p6BdoSECKNTzs4IP3uBAXSHMF9cDvaH7+YteL/sG3QLO4ikpD8QkbAbfwtm4FzYqyyD/tsnI+AzcCCWdelebdTu3OkDE5NAeHvTlrXb2AMWlcVUWumDa7V1K8j994/KyyC3Vop5xrz5Jt7s3Ru6egJmJcE8YOmBInZBpTpnA0BX7t79PwL04uJEPHz4KUJC9is3WA1bQzmAfgUuLvWjlkvarY2N/QHZ2ee1DqCLXyvnDy0NiL4M05X6V3g3TaoXOC28yN0iMTGRdZXqzv1okUjCR54W0HcwlToET5/OQWlpKnx8fq5XQ0R1tyQYSP0mq1HKkjdp0gRXrlzGunXrq9iOUrCG3E1etiaeRaea4ocPH1br4gcffIAuldk7RfQY6itAp46X5hZh9qipiI+KFWUFQ0NDMXasMDCqSpZYCNB3QCDQ/vlDz0JuRAqmfTGZOfuQcwOJ4km23r17s6CN1pV6qAnQmUo72StWqrrn5OTAwsJC1P1Tp05h+/btcHBwYEEbaoq4Hin93qB+dOwoTJTVMkBnz0FqAYofZ7NADYmment7Mw0SaufPn8PmzVuqdIkCeeTuQQFMYp2JWgNAbwDoCgF0Cwss2r0bARxAp+y5tTUQFkYhTsDdnQH0pZNnolELP1wO9qsE6DPQLewA4uNXIjL5CAPo58NexUIANj4WMGvugtAd96o9fwTQTU2D0LgxbVn7jazmyjOLsXvLX3BZvRlFBiY4aG8PKysrvNOqFRoTFeizz6Bvbwx9F/MXypsNAF2tm/X/CNDz8u7gyZPpDHglJq5n5SCOjsPUGsf/l50VBeg5OdeQm3u1AaD/v0wMZu21li3qHRwGabTXjMp6N535+BKFmSi9JP5Fi1FakFHWbMaMGcIMoQ4Jh5oz8VBZLSpqPEpKkhAUtF2j11kbByO19uTwGEz/5hum2E6L0MLCQpYVI+omUyo30hOKodVTiz2+cSRAVpqQj9LEPDyJfsK8i3v06MHqzcndpVu3rujR4zUhEHE0haHHC7Ai67j1GaBzfSpOysP0ERORlJCEiV9NQvAroUwkTJVyFyFA3w6BQCLARUv30lJROaGs8YyIeA/BwWQOXDuN3gtr5v+CU3uOsXJJga6AnZg0GEJCQtCpRxeYOFgwYV2BhYF2PRdqAnTqJxMOjEjH33/uZEKZFJyhIA1Xd0/bfPTRR2jbtq2Q2t7UTvOWatSPXr0ACgzVAUCnPlLw7uH5O1i4cCHDDaNGjWLvhUMHDyI2TmipSK1z584YOHAgwxDEMqryjDQA9AaArhBANzfHD3v2IDAmRphBJ4BuZUVmnsD160CTJrh5+jyWfTUDDi38cCnIF75btuL9MgLo+xEf/wsik48pAdDfgqlpCBo3FnrI1lUjoRu3L8bjuXMgOvy5j2UJEBsLwd/bYLhucfWamQaArtat+n8G6NzAGRi4wM/vN7XG8f9lZ8UB+lXk5l6Hi8voejs09SGDrujgZmaegJVVV4VprooeV3y7e/c+hJ6eFXx9f1Fld959WL3lo0xE3ovEsmXLWPaDvg1BgYGs5MnE1BQCM30YeFrKpXXXZ4BOg0S0/2O7D2HHDqFlElH6KUPICaca+VtDYKHd9cPqThAqiavILwXZkZZlFlexWGM15ySI52qm0Hx/GQC6uuMpvj+NR0DAn9DTE1LmRe3YMeDnn+VSl2n/uioLooAdgTKi+5NQpNY3DQB06mN5TjEubjsJWj9T69PnLezfL6TOcyrlFLw0amzF9Ag03sSBbR0BdOrTs+vROLxxj4jKzvWTmFXEsKKgJvt2OJqyIG415lkDQG8A6AoBdFNTLNi3DyExMVjXty/2EkCnGqP27QHy7vPzw81T5xhAd2zph4sBvvDbugUDymaiW9g+PHv2M+6nHGc16OfCOrEMul0Tc5iEUQY9strzSS9VU9OmaNx4vsafXWUOSPWEHl98gSwA7+cVQlCuC517t6E7/zvpH4YGgK7M8FbbNv/sFpTPnPR/VYOelxeBJ0+micbC0NANvr6/qjWO/y87Kw7QryAv7yacnT+tt0PzMgF0er8HB+9j7h411YQA3RK+vqQWovlGauYFD9JQUVrO6ki5JgJktOBSIGtc2wC9vLxQo/XuBE7JXi72TjQLUpCNGjXKnBt6Wbz04FzazKIsanl2MVD+HAJLA+YNr2hrAOhVR0oI0LdCT0+CfbBtG/Dnn1oN0BW951qxHUGhPn3kjqei10q2Y3t/34F9ZMVc2YhFMGHChJrXpNASgE7dJku1Qxv3YNeuFywOzoKUBDPJ5URmSVgDQG8A6AoBdGNjzD9wAE1jYrD+7bexh+rPzcyATp2oqAIIDET4ybNYWgnQL/j7wv/PzRhQNgtdm+9FfPxy3E85hT2CaTgX1pkBdHtvMxi3cOUB6KFo3Hieou+DGtmOlGi9xo1jAH1weTmj7uHqVYDqZ6SJafAA9KKoyyia+RGstt9DQsLvSE8/qHJktzwnFc+LC6Bn71Gl31TzXvDBKzB4fwxsbITUuvrU/j8BupDizjVDQ3eZoILcDaTZzVAde1TU5wgOripGqE33Pnf/jyi7chrW81QXoZHsj+IA/TLy8m7B2XmUNg2JUtfysgH0oKA9Ml06SLE+IWE13NwmKDVG4hvXNECnc5EnPNUbPi8qB/R0GCglb29lqLwKAXT6rmzfDphKr2NXdJDo/XH37rsqf3f4zkOOLxUFZYzWTx6+uoaas99UtH+KbJc57lWYf/cX9KycFNm81rdpAOjSAPoWFmyr0hoAumbnZkUF0LevxgA6XVxpZiF2rtyCO5fD0blLF8aqIWo/KZQr845UuqNaBNDp2kmvI/VBPMz1TZGVlgFrOxvo2RgzZg2vXksDQG8A6AoBdENDzD10CM3EAbqJCdC9O3DyJBAaivDjp7Fs0jdwaBWA8/6+CPxzE/qXzUK35nvx7NlSPEg9w3zQz4Z1YQC9UWNTGLd0RdMd96s9f/SRMjNrBi+vuQo9m+RxTHRGqlvXZFu6dCmaTJzIAPoQbqpcvgzMm6c4QO/aHlaz/0besdWomD+TZYdp8ZmefqDaQiklZRdKS9N4qbjZ2RdROOMjGEcXwvJwTJXuEkDP7OeG3O6etVp3pakxbwDogJGRp0zBKHoumjRZAWNjrypDzmXh64rKp8j9z5zWC4ILN+SyIwicAQKFVHuVA+i34ez8iSKXqpXb1CuATr7HJJBGlpNSmjxv48LCx3j0aJxcIBkX9yNTQHd3F7pmiDc6h4GBI/z81mjl/eQuSmGA/scfQucUNVp5eRHu3esvd1zVOEWN7po1fwDMv/wVAnPVx4G+kQa/7YRRQMcavVZVD94A0Ks/x/7+m6Cvb131BwpYbd0qF1DWJcVd1TlQJ/uVlQH9+skdT6Wujfy7v/sOz61tWfBOp7YCd1oG0JUaM/GNGwB6A0BXCKAbGODbw4fRIiYGf/Trh78pg041Na+/DlAtUFiYEKBPnA6n1gE44+uPoG0bKgH6HtBC6mHaeewVTMHZsG4MoDt6mcKwFR9Abw4vL6HSo7xWU5R4Umb1/eqrqgCdKP2k0q5oBr0SoOf/uw7l86bzAvTo6CkoLIzmzYQmJW2E7sx5MHqYUw3saDNAp+xNeXku9PVtZd7O/HNbUT5jolwQJ28+1KffJSnuRkaN4eOzXGoXaJ57eS2EmVlVr1KtBej0ep07F5g1C5lTXofgcrjce/vgwSgQzd/Ts7q/tuSgyAPoZWV50NXVR27uTeTnR8DZ+eP6NDWqXGu9Aui0sKB3JDlaSGnyrJMUBej379P9fA5//3VITFwHe/sBolpVOoeurqnWi69FRY1DSUky/3XSeGoEoBfg3r336y1A1wS41sQxavIl0gDQpQH0jdDXt6kxgJ6WdgC6ukawselRk7dWu49dUgK8+65mATq9tyiZFRpau31vAOi1O96VZ5OLJZW8Kp3nnImlkju+TJvLHVTyQdfTw6wjR9CKA+ik4G5oCLz5JnDwINCmDcKPncSyidPg1DoQp3wDELLtD/QvnYVuYX8jLm4JHqZdwD7BZJwJ684AupOnKQxau6DpjgfVhlOYQQ+Dl9d3Cg11TQH0RYsWIeDrr5EN4EMulnPhArBwoeIAvdIHPf/4epTPnSYHoE9FQcF9hITsldnv+grQk5O3IiVlO+/i8P8ToFeluBsbN0GTJktfDoAuFpXPnNQdgmt35AJ0Ut0lFkGTJkvkPvvyADrRnM3Nm8PCoh3y8+81AHS5I6qhDRQC6FKUmStPrwpAp2+Ap+dcmJs3Y0dpAOjV7yUFrCIjB9ZrgK7/8xYYN1UdSDUAdA0947V0GHqO/f03VA/sK5BBp+V9REQfufO9JgUla2mY1D9NURHQv38DQFd/JDV3hIYMekMGXSGArquLGceOoU1MDDa88w52k4I7CeMQJWbPHiYWF370BJZNmArnNoE44eOP0G1/4L3S2egWthsxMQvwKOM69gu+wumwHgygO3uaQL81ZdBlAfQW8PL6VqHJXlMAnSwSgqdPrwrQqeb+hx9UAOgbUD73a16A/vjxN8jPv837QZEG0NPS9sHG5g3kdXHVWoo7ZbjS0vaK+lZcHM8CN+JgtAGgA8bGvmjS5MeXA6CLReUzJ3aF4PrdWgXoXKDPxuZ1FBREwslppELvE23c6GXKoMf82AJuT1tD92ehyq9kUwSgkxL8s2fLoK/fiGXQ6V57eMyChUUrMYBuAju7frC27goDg0baeFuhMMWd1IgrBdhU7UhZWQ4iIwfLBSyqHr+m9yNw/dzEEJb/xKp8qvoM0CtKCvG8tBgCUyve/lMfy5sFwHr5aZXHSVt2pOfaz+8PGBhULWso2vADKjavh8mJ6utH7torKspw924/BAfv51XQbwDoAAoLgQEDgP37AbKI1ESrywx6797A6NF1ZrOmieFDA0BvAOgKAXQA3xw/jrbiAF0gED7QO3Ywsbjwo8exfNxXcGrbFCe8/RC64w+8W/otuoftxpMnM/E46x72CybhTNhrIPM0IUCnDPrDanOZXsrm5i3h6TlboXleUwB9/vz5aDpjRlWK+7lzwKJFSgP0guObUDZ3Mi9Ap3HKywtXGqBT/318VqHk9Rb1BqBTLX1s7IIqfX1ZAXpS0hZYWXWCkZFbtfnM+aBzPxgb+7HsMS0udHWr1vDWO4o799E/cACZ4zpDEB6pNEB//rycecNLa/Iy6C8A+msoKHgAJ6cRCr1PtHGjlwmgJ04IgEOUB3QPHlEZoNO9pSYO0N3cvoaVVQcxgG6MiopCuLh8DgrSaGNTmOK+di3g4KBWF0pLM3H//tB6DdBpAEjHRdXGAPqqv2AU2EnVQ9TofnwU98x5/aFz8xasdldfM4lf1MsH0NdVC7Bl/f4ldP/cwTsXOFFEPkFKGrcGgA4gPx/44AOAVNdJDFkTjQAmlbg1E7Ka1GokYqfoddF5GwC6WsOtys5ysaSSB22guAOQO6gjRgCpqZh+5w7axcRg43q91QYAACAASURBVLvvYhdR3OmB+fBDYPNmoFs33DryL5aN+xqO7ZripFcThP4lBOjt/L5jmY5nBZnYL5iIM2GviwC6cSsb+P4ZgcLCJyi9eRpFpjmwCxmNBw8o06WLoKCdTLWaFJj19R1gYGDPFus5OVfY/1LdkIlJACIi+jJbNmfn0dDVNYRAYKGQyJS8+TJnzhw0nz27agb97Flg8WKlAXr+v2tQPm8GjP69i+TkzcjKOgk/v7UoLn7G+mdv35/V6uflXYeT0yjY2b0FyjITgLO17ckulShbtFA3nreO1aDr/XMOBgYOiIz8UCsBekbGv7C27s6i19yCmoTMSAwvI+MQE8RzdR2PiopS1sf889tQ/s149tGle1xSkgQ7uz4MrGZm/gsrqy7s/tLxqG7MwqIN9PSskZDwGxwdh1f3SpV3g2vpd+q7o+NHsLd/p9oZ87LDkXB6PIobm0M/oQDGJj5wCJ2M+N1DYPP2fOhduA3dgFAInL0RFTWW0XjLoyMgcGwMQ5smbOGSmxuOp09nIjh4LzIyjsHWthebK8XFcTAycq+lXko5TW4uMGgQcrbORPn0CRDceQSzU/EoS3kCA0cfFD8Nh66xOcosKID/mM2V++f7wNDME3ZPXFHWPhgpt5fCp/N+6AqMkJd4AYb2PiiPikCZixUKS6LZs+TvL6xRJDBP7w3h/NiHxMS1MDNrAZvyFii/cBw2Q6XX9qs8QMQeIhZRVhZAbIFGjYAjR8jsVeoh8/JuQ1/fHhUVRQw4mpoGirYjHQF6lukdx7XnFRXI3DgOJgOnICrqs8p66+p0T6Iu5+RcguDaPVj0+ALPSwuR++ccWA7/XnSs/Ly7EMSl1444Fg/FPSfnMvJnD4fDQw/oHPyH3avExPUwMHCCoaEzeydkZZ2WGagkjY6cnKtISdnK+qavb8eeiaioMXBy+himpiHQrdDH09PDUOpBc6KYBXvd3afj+fMS3Lv3AZo0WQ5j48Yq33a1dvzrL8DLC2glzPRzAJ00FwwMnKuLYdFGb72F0rnTUGFlAkNP+Yvd8pwUlCY/gZFPmyqXWlqajvv3h9cMQKdnPSMD8BBzFikoEP7N1fXFdeTkAImJQhFBnlYSH4ni8OMw7/2FaCsCntRUAeilydGoKMpH8dAetQfQ09KE7wUnJ7rRgK/vix5TbujGDaBFiyqjwAvQv+wIwa0HcvsvD6DTWOg7eKs1jZXeOS4OcKseoJY8TtGD/2Dk1170Z2EGfS17N4q3rLn9oXv8LO9YkChi3G8d4T7mvMj9hN6pJfH3YOj2Qsfl3t3B0ElMQ0D3o0p3S6kdbt8GQkI0l6Gmk1MZWXIy4OLy4lLu3AECAmSKdLINIyOF2zx9KmTDWliwbzVjxMoQ91Sqr5XvLQbQiflTXg64uwuffXoepDXCFPSftPPTN2X1atn7Pn4MNK58p8sC6CkpANmdjR374uw0fpRs1BRrQFq/CDN0lCNKSWsIYiaLt4YMekMGXS5Ap0kCYNqdO3iFA+gkEkcTe+hQYMMGJhYXfvgYlo+bAsd2oTjn4YnuP09BO7tdcDYSesQmFpfigO54nG7RqwpAL58pXHB4fH4FBc1skPpxkypzlBZTpOjLNU/POXj6dJbo/1O9alHRUwbQiR5ONlWUMTE1DVD6fSK5w7fffosW331XFaCfOgX89JNcgE6LSLz1Jiq6dYDZ9A2I2dYT9msfIXntBygqelzt2ijQUF6ex0AVNQKyT57MYv7NXAYoJ+caYmK+g8OK+wygx/zSGra2bzLLNhqn0p7ttCqDLq7WLA7QuX+LDwL1l8ugp28YjZK7Z1HiboqQpgeZiNKDB0KBLze3r1g2mjsGZc3i4n6AlaA1BFnFsAn7lCn65+XdQFFRDBwdh6o9D9Q5AEezs7BoC3f3qaJscMk/2yBo3g5FMZdRPuVLdi9dZt+CnoEN9CbPQ9nEkexv9Fxkv+aMrD6uMLmWjsJQa7hPuIacbo4oG9ofnp4zRGPBPI7wnM2dgoIoREdPrJnFuKIDkp3Ngnh3FgAOPz+E0YMsJPzWG86jD8HkRBTyewWg2MMEyeP82RF1dPTh+vVlPDc3hyAxE2nDGsNu42PozFkAZGbg+dIliJ8ZApe5d5AyygeFTV8o+/r4/MoCGMRAMDLyQGbmMdFVepQMBP7eA4v5OxW9csW2o3cjUQKnTweiowECX9zfpHzwac5aWnZkgafi4lgWgOTai/ksnN/UKorykPe6N5sH4s3Wti+cnD5iwYjIyCEoLyeVDOE7lLYVZJbAdWY4+3ejRoMZmNVLLYLLd7flLu4V67icrXgAOvXTbv0j2D9wQOQP5vDwmIGYGOl2mvb278HRcRg7GQFzavROLC/P4b0AkxsZsF//CLErX8Hz52VsW+u98cjv5okS81J4en4Lc/OqwEgj/VbkIJXf09iVr7IAMwWmaD5UVJB7AWHZCYySX6W99RZy9WPwPDsNFicS5J4la8kw6B44UuVel5Vls3coBYdqxO1h1Srg8OGq30Wi5dOCX1xQVdrfpPQo+9ex0Nmxu0ofFAXoZZkJKL75D0y7vihpyfy0LXSfPoNOUSk7m/mpROgompGTO+IyNpgwAYiPB1asAD75pOo4EFgYObLaOoIXoH/xKgS3H8p9hvkAOgHU3C5Oco+hapel7kcAkrSMiG1J7j8ymuS1cTXkvr6rYWhYFdQpMhfKywuQ39ULpidjRAmborsnUTJ2YJX+3z/SDc4LI2p+TOjZ5wDwgwfArVtCFqo6jQLCK1dWnUeKUMtpG3ouCZQTgCbrYEq47d4NGBioc0Uv9uWuY80aYRB7yxbh91GawDLttWyZ8HmhBJhko/2WLgWaVMUHLEBOQnRTp744riyA/sUXwoCEOEuAWAN0D96pnjzRzCAIA6xySwdom+XLXwQZ6OT0N/pvVP2wh5WLJZUc0DrJoJeXl2Px4sVYu3Yt4uLi4ObmBjKunzx5MgQUyZHTIiIiMGXKFJynWmgAHTp0AImZBQdXVXaWdxzud7mDKgHQN733HnZSBr20FBg+HCDqXe/euHXoKJZ/OQUO7UNhZmWKoT4C3FvWUgTQ4yuccbj8bZxq8YZSAN3cvBVyc6+KumNg4IKSkvhq3aNMCmVfqHl7L4WJicSDrOiAiG03c+ZMtJ43ryrF/d9/hR9cOSruCQlrYTbwG1R0bQ+TaasRt6MvA+gJv7+J0tIUuVdDiyiubps2pv/P0cKlAXTahhbo2mSzJlRrFopBcQCE6sFIuEWyMYB+dgvKZ04SAdO4Bc0Q1P5oFYDu4DAUjRr1Fx2PAyA2O57C/FwK29fcvDXLphIboUYWo3Lv3osNsrLOIi5O+MERV2CnBUbWW64o8jKD44r7SP7cj4FRgakt9KbMrwrQX3dm29L9TRrnD8fl92UAdOF52Vjm38fjx0L7qTobA8qeDRsmBOjL78PwcR7iloSxAAMLPnx5DUWNTZE8/kUwzX3iNVSYGUOQkY+0oY1ht+kxUkb7olHZq8DadaKBTf3EBwWhLwA6Baii730Oy38TkdVbLGNHz0VBf+Cfw7D4drsSd06BTbkFFwfQaXFDf5OxyFEEoJuYBMLb+wd2csqE5r8VUg2g028BAVtQVBSLJ0+miy6UAfSfW0GQVSoC6NyPzvPvQD+xsOYXoXRCBQC6WXgenq6Qnw3mst00dsSWsbbugdTUv3hvjsn1dNj/EY2YXyiD/JxtS2OT+j/2zgO+jfL847/TnfbydjziOM6GDEICCYQNZbSMlFEosxQKhdLSFtoy2gId8C8FyiqrUAqktMyyCoQNJYEACVlkD9uxncRbtrZOp//neU/nyI6HbEsZ5HnhPnKk091733vvdL/3WRePQXBG/h4h0OmaoEZVG2gC0hDoXu9hiMdDYpImN/dofSUS6NJGJDrb4Hl/64ADs/3282H679vdzjVNcGzY8NPs3Q8eeAB4443uv4tk8aLfyWEIdOm6m+A+Sbd4pSPKxHrzbgT+9mi342+77GCYNtdDiuoTNq63a2Cy2AZkOawVDIFOD970kJ3KYSgC/co5kL/aMOA13J9ANyb9huKFkBYLsoDSfT+1JOC6dcA11+gCzdujnnnKRrVoGP5vjOo6vh0C/WHhXZPa0hkL5FkUPHYMnO9VQ5bt4uuhpW8gdvX3ugv0N45B6f8NnB8lrePvbyW6Lz73nF4B6aGHgP/+d/hJ2WhMGdeZse+BBHpqzfPvflf3/LrlFuCCC3QLMyWAzkTrS6D3Fed+7bU0A6v/fvZsfQl0ev+nP9XF/Usv6dZweo8SWF9+efcYdEOgpx7jrrBS93wmoEmRO+/s7g1A61Do7LZtAN1LaZzQezQBQV7Me0EbUEsO8hh2i0C/8sor8eCDD+Liiy/GoYceioULF+Lxxx8Hvf9Xmgnrp61fvx4HHXQQ8vLy8GMabCCteC/a29vx2WefYdy4cYNEkIaLe1Kg/2r5chxWWwsh0PPzAcr6SAOHbjRz52LZa2/inh//AiVzDoArx47zxyndBXqiEq+rJ+GDGd/CH5Mx6OTiPpAFvadAp5jDgQTuuHF/zYhr74033ojZt96KA448EiM/SCZc6W3GMvXGSKWF/vhHdBfoD2HLM99OCvRvIRZrGvA8fV0EOgkJRfF2CWqKB6PELT0bHa///Seg3fzLLoFe98cDMGnOG+IBdt06fRaxp0AvKJgrks/l/bsa7o91ge5y0YO/vEcI9La291FXd5foe38CPZWHctdjQxboUjSO8vcLYL7iht0v0JuaxD2CxMiIu1bBsiWELX+chopfLulfoNvNkH2RHQL9ivEoig0s0Gs++AFK/2/lToJ2lO904IN34fn1vAGvu0GtQPdGsprfdJNuQTcEOmUYdjp32tQOgb5VeMr0ZkFPFehqSy2Cpx8kRHdPFzxy6w+HN6O6OplIM5HAqB9/jpq7Z0LxxYQ3RqrlfeSvlsAUUAd8uB/U8fe1choC3bmktdeJh56bLC39kYgfp0k9SVKQn38Kmpv/0283dwj0HZ4HQqB/bwyCM/d8ge7zfYy8vBNRVkZhDbpA92sboAXbBy3QtUgQJqtDWOoNT7SsTNhlSaDT4RtiMh1RRut3PHWDmMxLFaE9Bbrz9bUDJlsb0rVALu0kAOghvD+BbliVe0z092tBv+IQyGs2w/P+tn671p9ANyb9sibQewsBXLkSuP56PYcCGXT6aHF/KwLfmpQi0ONYuXIuxo9/CFZrigt3mpM1atSH4DfGw/nuRsiKS+y1d4F+rPjdyBqT1OfDp58G3G7g4Yf1Ckh9WZPTHXxDEeiRCHDmmfq+DYFOv2EXXaT/ntn1yYxht74Eel9WehLoZOGm66dnS0egG5MfAwn0f/0LcOnjYZckYqP+pD4T0L9/8Yvubu+GQKewF1qXzg29R9Z9mjjZC9peL9BXrFiBadOmCXF9D82qJtvVV1+N++67D8uWLcMUilHpo5155pl48803sXr1amF5p0ZW+EmTJuGkk07CczRAB9kGhNpDoD911ll4llzcKQEUuS3RpMKZZ2LZq6/jnqt+gZLDDoDTa8cF4xR8dfcMlNl0d5k6TMCbsaPx/oyThyXQZdkt6mn313pziRokFrH6ddddhzl/+hMOPfFE5JN1gBrdVOnmOoAFnazfznNuEC7u9l/di7pnvzNogU4iv6XlZbHbvdWCbmRgNSzo++33HFatOmun06EL9Meh3Xxdl0Cvv2UaJhzxKqLRRuG+TK2nQCeLGsWn7yzQTcLNPSsPo4MYTG1tHyD668vhO74Epcfe31XDvKcFPXWTwxHo5m0hlP5hBeTXP9z9Ap3izS67TBfod6yCZWsEdTdNxsgbvuxXoCfMJiEmDQv69ivHozh2hLCKGY0s6KEJHlhrAwiP9whX7rYljwhLSE+X8MqWU6AtWgDvr54YxJlLY1W6N/7zn7qLXapAp7wcPePJkqW/dBf3NAT6unWINW5G6MYLUXvHDCRs3b2rJkx4TIj8LoGuahj10y9Qe+cM4eJe9ocV3ThUXLMYUiSe/YdQwtaPBcdwcU9foF8pck/0ds/o6wxRKEjhP8iCfjDMdQGoxXbhtbGnCHSy6a/ssqCP6ebiThb0XgW6uh5a2DdogU73Gdu8dxEvcOw6gU5uo/SQmQELOp3jbAh0x38WQ8nr7mmTxhU/8CoUa00xrvR8YAh0spYZ7xlbqKsDrrhicC7ul8+CvL4Wnvd2eFGQ1VmSFbEYLVWg19XdIya1jJwLsaYahM48OHv3gd48DL/8EvhtMiyxH0GqttYh+O0ZXX0zwsMofKlngtV0JmvUQCOC35wCx5urodj1Ouq9CfS1rx+Dkj/tIgv6E08A9Py8OwQ6JYIjCzN5v9IEElmy6ZUs6L/5DXDxxd2F5MCjvf816HeAYtBpUoZc3Ol38dRT+97HQAKdQkt7GiFTLejG5MdAAv3JJwHyAjZ+q775Tf1azEZ7913dup/qPUL9+/nPgaOTHlJGP8i1f/Hi7gKdzg9NouwFbUAtOchj2OUWdLLI3nrrrdi0aRNGU6KYZNu8eTOqqqpwww03gDKH99b8fj/y8/Nxzjnn4Am6yFPaRRddhGeeeQbNzc1wGTNDacIYEGpvAp0s6HSxk9sWTTScc44u0K+8BiWHT4fTY8MF483dBbo0BW9GD8X7M04ZlkAnyyhAyaD6br2V5UgTR7fVKJTg8D//GYd+85vIJ3ckahS/QjecdF3cjz0M1l/ciYbnz0sK9G92ueL31ycSlvX1D6K19XWx2h4h0Ck+iB5AZs9OCyc9jBuTJYZAnzTpaaxefe5O3xdu2e89hvgtN3QJ9IZfT8HYo18SHhOG9aenQPd4DkVHx8I9WqDLc89G22kjkX/Z43C59Ak4Q6BHRrtEToHUptzxMNRrL98Rg96Hi3v01KOQe/9C1F09ouvrlGiu9NaVkF9/D5s2Xdc1dtI6YZleicbLD3+IFX9MoOSOVTA3qqi/fiLKf7tMWIVHXb14Zxf3n30BmCQhJgcS6LIvirxna7qEqGVLQDxo9RToo7aehMTyL+C99u+ZO0JKejN3rp6D4//+b4dApweQPkpiDcqCftFF6KjWs5zX/eEAxHO6xwVS1YZYbHuXQCdeJMK3/OlAIdB7ehJU/PRzSGoiew/mqWTpN4NiGqdP34n3UAS613uoSISZbksV6GQ5b/luJfL/Vb3nCHSqz3ybXsrIZktToEfXQYt2DEmgWx5+AVpFETZuvEbsc6CyU+ly7raeYUE3EiemWvaG4eJO+8iEQG//wUGQqhu6XNztz3wM84jBexwOyKa2FvjRj7oL9Ntu091wUzmQK+9PfjIogd5+8YGQtjbB+6aep4Za+7mTgRkzkXPNP7reSxXoeoLSS1BYOFd8Tsn3wucelb0Y/N4E+mef6UKNWj8CPbZtPUJnH9bVNyML+1AFeqytFqG5B8Hx6lIoHj2GPbj4NeGdlmotX/fK0Rhx56rs3hsp3RX9NhjVGLIt0HvLnk4ilBK0XXWVbi2na5WssyTQb7xRz4lgiNwBB3oaK9DvwM03A48/rgt0eqVY775CHVIF+qJFwLRpejgANcPCTIntUhu9T9cRhZ2SLqL4eRK0vbm403HX1ACPPaYfs7FdI+M7/XvVKj15XqaSxpHnCHmQ0LEbYR/U56uvBo47bseR0HtUvpkms1It6HR+hpunII1TlYlVBtSSg9zJLhfoJ5xwgrCSb6M4gx6tuLgY06dPFxby3tonn3wiXOLJPf6HVN8vpdF75CJP68xOUzwZXx8QalKgP9TZibIPP8SSm2/GTeSeRVlbqR80q3X++Vj28mtJgX4gHB4rLuwh0LeYZuCtyAy8N+PULoHunJ6L2C36Q1xfSeJ6urinc44Nt+p01u1vnWuuuQZH3XUX5nzrW8gjyzm1F1/UL7ZBCHTLtf+Hrc9/D4WPbUDdg9/oSurU375JsNbV3Susw9R0gb4QtbW39ZokzkiMlJUYdPpxoRsWTca8805abllG/JgRbrBy0UlQWiMYc9zzWLNGT/xkNCkcR/mSKpiKKoC77xRuumQNbLhuf4w57gUh0DduvFasTgKdEq4ZFnVyZ6fSdL1a0DsXiyRzu7RREkH6YaFZcgBkQRcCfe5I5F36KNxuPe62S6CPdKL4gWQtV2KcSEC+9V7Eb/gJau49CKN+8jl8JNBPLhMuzBSrXnz/WhGDHpiRj5LbuwtSS7VfiGHptfkiszu1yZNfhiRlqHTKYGAmH1ZX/E7TBXqbhoafjxNJ3ugcV1yzBJHRPWLQSaBrCUhxPXaYWq8x6JeOhdwR6ybQrZs6MeKu1dhy23Robj05JbXKLcdBW/8VvFc/Mpje978uhficdRZACXDIQkYWdPphPeMM3TpS2j1mkjY2GIGunfdd+OveE32g6yBW7hTWYOfSNrSfXK4nhYy1iqSR1MjjgNzYKSyEBDrxTp2ooPsrtay7cdJO6DeDXCZnztyJ4VAEOmVhX7s2/Ti8VBd3IdDPrkT+MzsEemq99MwNiDS3dMopek6NO/Ss1D0FOlUdoNwZPV3cA6E1IoloWjHof74Qptfmw/S7O6D99lqY730S8TFl2Lz5+uzdDwyBTg/flGyKHv5pomrIMeg/gvSM7uqaDYFuffJtWEdNTfOkDWI1I9461YJOk1Xk0pr6zJC6XsrmDRd3+3YFcv5ImKx2kYeCGLR/d38gGEbOy3rCRGpCjM+YjNy73u3+XrIOek+BHtm8BJHvnZS9GPy33gLuu6/7sVK+JBIf1PoR6JGa5SLLvmv+RkhWp6i68NVXZ2LcuPtF4s/UZljQKVTBZPd0S/hHzx5UHSK6fQPC35kD+wuLYC6oFF8Pfvo81F/9qLtAf+FIkQcmK/dGelbcf3899p4EKCVTpKoGPQU6eWJRFvJDDkl/sNFzGT2X9haDTsK4R4UA4dZOmdQpoRqJcXJnpzBVEquUR4U8YqkflNE9E41+B8hzgoQzCXTq59lndxerqftJjUE3xL1xDH2FTdH7NPFAXGnyg46BWm8CnfQKGQ0oLJey3huTJqkWdNpeHxPsQ0JCsf1ffNE9Az3tg/pCEwNGM7zOSMyzQBdUdrlAJ/d1i8WCxeTG0KMdeOCBiMViIDf43toLL7wAcnF/5ZVXcEpSNBvr0XunnXYann/+eZxBD4h9tK1bt4KW1LZ06VJccsklmDdvnnCV36mRK4amIXT22dj+xBMovfdeWOjm0tKiz1TRhXH22Vj93oeQNlejafkSLHfbcUaFDORYYJd1YRA2FSEYbcKqT7bBrQLFZTZ4861w5FiRkCXI7VGxXjdLkZYQ1rTBNvdV98FUOfwyInfeeScOevppHDh9Olx0Y6NG7kE0OUEuMklBJS50au3tenIy8xZoiHYdUyLHCaldz9JrHJ+UMCFhSoibhBTTQG69qc0Ei9iG0UywIgENCcR6ZWXwS1hkaA4ZpkOPhft03WIy7EbnmyaV2tr0TZGXBrlK9cyCS1ZFYmIyIRyuEyXkJJMMCQqkdr/4aiLHBU2LQNKAhKKfW9kXExwSNgukcFQ/51oCmssMSbHSlQotEYMpEodm3TmRoslkh9TeIb5DfMlSmCCcJgmu3z8D2e4eNgKsWaP/oFGMIR23UZqjZ5kOSpBDZULcbqhaAMHAWphSzr1JsgJqDFJnGAnFBInGOC2i6TwSHjukjiDoXFJMOTXNqQgRprkUmPyq4Bx3K0Kkpl4z9JmkatDynEhoesZiy5k/gH32znH/g4ZCx0puWMRAdDQ5cWNsiJLPGIku6TNa2tvRgbUw+fW+kKs2TcjEPWbRd3FsbrO4B9B1QMfYsxnHnvo+caDzLLZlWJe1RNc29XGgCcZ0bSROORnu0/QkWcNuFCNHP7ok0imhDsX0UaMHGyojReffeMhJcghF6hCNdc/ALcaCuHdISKhhkdAsYZJgkiyQfPr9wmiCV6cq1qe/9etKhgadIeVCI4+ChF1GQjYJ3qnjwrg/OB95KzPZq+l3iiYrUy0NdCx0DyAGdI+g8j0pja7hTv+S3u/1PU4KTdCIMQE6TtOO4+zj5NG5pr70/C0xjluMMxe5AUtIHHMUvKf+atjDQGyAxAhd83TcdF/oyYP+bbxHfNraQCX1enpE9NYZMT7E/TECsiaK05yTjJ1MvfaM604fSpDauoeA0TUAl72LoQlmJIqL4PnF3zLDgEQZZXCnRqEd9DBOv4/G70VyslJ8TqwARFwxRCP9ZKQPBLvuffT7SQeW+hvSjSlt0PgtFuvpx6+z0qEY3zUOOOF2ALIJtl/cmZmSY+RZRmKMxj7dJ+mYk8fadV8wqt/QPbKzE/FoAEHLVqP4huinBv1eYoxbzWuDyRdGwuvsuickct3J+wZ2MKH3aBxIph3H73VCk2Li+qEKGQCVsYLYjnH8xM10wslwHrcj4/2wBgWJP7ovGuec+kTjwWiGa7FxzkSFhs1Q1XbxeyWO1eOAJsdFzgnEopBkizgu/aRq3c+nIovnBtEU/dlACqt6SFAsASkQRMJtA2T9XmSi3914DDpDfXuJeASh/bwovuyZYR1615c//1y/HmhMGmPA+JB+LyiTvXFtJBMuq+0NItQl7u2ZoE0/ZxZ7Gazm7qXmun5r6PeHrrvks5d4NqcxlvobRPs3zgNZmek3PPUaNa5b8v4YQi6rncD5/cCvf63/BtAzMzVjf2QVpz7Q72TqfcxgZayX+hti8KJ+Gs+dyftp175Tf4tpHxRLb3zP+G2mlWmyhLZBz/F0rVKjz6k/1AdjwiITo4GeGRcu3LHP1DFhaAh6j84Z9YFKU/a8f/zqV32Xl8tEHzO0DQq9Pv/880UC8zlzdpRKHOrmd7lAHzNmDMhSTonhejayjjc2kivvhl6P56mnnsKFF16I+fPn4/jjj++2zltvvQWyztM6BKivRmXDbqEZHW5MgAkwASbABJgAE2ACTIAJMAEmwAQyQICMveedlLqM/gAAIABJREFUd96wt7TLBfqeaEGnuHUS9x988AHclF1yH22qqmLWrFlYtGgRFJpJ2wcbM9BPOnNgBjwOdtwA+Xrg64GvB74eUh+J+J7A9wRjPPBY4LFAYyEUCqG6ulroyYLUMotD1FK7XKDviTHo5FZPbvfRaBTmHi6JQ+S6V36NOZAnEo8FGrzMgRnwONhxG+frga8Hvh74ekh9sON7At8TjPHAY4HHQjZE3y4X6JSl/bbbbstKFvd///vfaGlpGXQW93g8jt///vf4zW9+A9mIH80G7T18m8yBwih5LNAwZQ7MgMfBjhs2Xw98PfD1wNdD6iMc3xP4nmCMBx4LPBayIe92uUCnDO6Uqb2vOuiUsG3q1KnCgrdx40Z4vV6UUFmEZKMEcBSDvmbNGpRTJsiUOuhknadEctyYABNgAkyACTABJsAEmAATYAJMgAnsbQR2uUAnQFQi7eGHH8bFF18sMt0tWLAAjz/+OC6//HI8ROn/AeHHT3XSqb75P6jObrKtXbsWBx98sKiH/hOq/Qcq/3evsJx/9tlnmDBhwt52Dri/TIAJMAEmwASYABNgAkyACTABJsAEdn2ZNWJOCRVuv/12PProo6irqxOW8EsvvRS//OUvu5KT9SXQ6fvLly8X65Kwp3bYYYfhT3/6k7C8c2MCTIAJMAEmwASYABNgAkyACTABJrA3EtgtFvS9ERT3mQkwASbABJgAE2ACTIAJMAEmwASYQDYJsEDPJl3eNhNgAkyACTABJsAEmAATYAJMgAkwgTQJsEBPExSvxgSYABNgAkyACTABJsAEmAATYAJMIJsEWKBnky5vmwkwASbABJgAE2ACTIAJMAEmwASYQJoEWKCnCYpXYwJMgAkwASbABJgAE2ACTIAJMAEmkE0CLNCzSZe3zQSYABNgAkyACTABJsAEmAATYAJMIE0CLNDTBMWrMQEmwASYABNgAkyACTABJsAEmAATyCYBFujZpMvbZgJMgAkwASbABJgAE2ACTIAJMAEmkCYBFuhpguLVmAATYAJMgAkwASbABJgAE2ACTIAJZJMAC/Rs0uVtMwEmwASYABNgAkyACTABJsAEmAATSJMAC/Q0QfFqTIAJMAEmwASYABNgAkyACTABJsAEskmABXo26fK2mQATYAJMgAkwASbABJgAE2ACTIAJpEmABXqaoHg1JsAEmAATYAJMgAkwASbABJgAE2AC2STAAj2bdHnbTIAJMAEmwASYABNgAkyACTABJsAE0iTAAj1NULwaE2ACTIAJMAEmwASYABNgAkyACTCBbBJggZ5NurxtJsAEmAATYAJMgAkwASbABJgAE2ACaRJggZ4mKF6NCTABJsAEmAATYAJMgAkwASbABJhANgmwQM8mXd42E2ACTIAJMAEmwASYABNgAkyACTCBNAmwQE8TFK/GBJgAE2ACTIAJMAEmwASYABNgAkwgmwRYoGeTLm+bCTABJsAEmAATYAJMgAkwASbABJhAmgRYoKcJildjAkyACTABJsAEmAATYAJMgAkwASaQTQIs0LNJl7fNBJgAE2ACTIAJMAEmwASYABNgAkwgTQIs0NMExasxASbABJgAE2ACTIAJMAEmwASYABPIJgEW6Nmky9tmAkyACTABJsAEmAATYAJMgAkwASaQJgEW6GmC4tWYABNgAkyACTABJsAEmAATYAJMgAlkkwAL9GzS5W0zASbABJgAE2ACTIAJMAEmwASYABNIkwAL9DRB8WpMgAkwASbABJgAE2ACTIAJMAEmwASySYAFejbp8raZABNgAkyACTABJsAEmAATYAJMgAmkSYAFOoDm5mbMnz8flZWVsNvtaaLj1ZgAE2ACTIAJMAEmwASYABNgAkxgXyYQCoVQXV2NE044AQUFBcNGwQIdwD//+U+cf/75w4bJG2ACTIAJMAEmwASYABNgAkyACTCBfY/AvHnzcN555w37wFmgA1iwYAEOO+wwENRJkyYNGypvgAkwASbABJgAE2ACTIAJMIGdCbREVawOhNAaU9GpxuGPa/CrcYS1BFyyCcVWM4osZhRbzCiwKLDJEiySBIvJBFmSEIpraIupaEkutA2byQSvIovFk1wkAInkQr0wSxKssulrfUqCahwft/nxic+PWCIB1R9Ax5ZqdFRvRmdtNdrWrEJga71gYHZ7UDL7MJQfdQy8Y8aJ90osZhyZ58b+LjskSUIikYAWVKEFY12vCVXrlaFPjWNzKIq6cATx5BrBrVvR+OXn8NdtEe84S8qQP2UaHEUjoDh0r2UzJOSYZXitZuR4rSjMtcPjscFkU/aac7V69Wph7P34448xZ86cYfebBTqAJUuWYMaMGVi8eDEOPPDAYUPlDTABJsAEmAATYAJMgAkwASawg0B1KIJXG9vxuS8ghDM1LRZDqKUJoaYmRHxtQsB5KiphMpt7RadIEtSE8W0gHosi0FCvC740wlQdsgl5ZgV5Zhm5ZgWjbBbM8DrFe3tzC8TjmN/cgTebffCHQtj0yotY889/wLdpQ7fDkm12jDz6OIz+1mlCnBucqxxWnFaUg+luB6AlEPdFobaFEW+PoC9B3hevqKZhfTCC1f4wOuK6VCeBXv+/99G+fm3X18wuN5zFI+AoLoFr5Eh4RlVBttl0IS+bUOS0YnSJB+NKPLDkWCGZaMplz2yZ1pIs0Fmg75kjnXvFBJgAE2ACTIAJMAEmsFcTIAvsmkAYrzS2Y6U/hISmof7jD7Hmn4+jbe1qRNrbgBTBTQdrMlvgGV2FnLET4K4YBcVmg2y1CfEmW6wINW1H27q1aF+/Br7NG5FQVUgmE9wVlcgdPxG5E/eDq2ykEP/xSBhqOIx4OCS24Sgqhr2oGI5Cei0S26M21mHFQV6nWAotvU8O7GkngrwOiOmKzhAWdwTg8wew4cVnsOoff0OwcRtkqxXFB81G7vhJOpcJkwQjk6JPRtCkxCE5ThyS40J5wiREedwXgdYRFZbz4TbawsZgGEs7Ql1CPbi1AW3r1iC4fSsC27ch0tbatRuy2DtLy+GtGgPP6DFwjxwFSZZhkyRUOK2oKnajssQDc64NknnP8oRggT7c0dLL9zMNNQtd5E0yASbABJgAE2ACTGCPJUBux9TIjVjZgy1deyzAr2HH6sNRzGtoESKSxHL1m6/iq8cfgW/jenG0JMKEYC4ogr2wCBaPF/76WrSvX4f2DeugBgP9UjG7XELEe0aNFm7bJPyE4E+3SRIKphyA8iOPQfmRx8I7drxw6x7jsOKIXDdm5TjhlOV0t7ZL1iPr9DstHfjMF8CmYER4IoRbW7D+hX8LizkJXsXhxISzz8fEC74Pe373hGUUNjDZbcchbgeqYhI0Q5RHDaf0zB9Gb0Ld2Es8HEZw21Z01G4Wky3+LVuQ0PS+WNweFE6bjsIDZsCaly/eoxCGGR4HqgpdUHJtYjHZd7/3Q6a1JFvQ2YKe+SuRt8gEmAATYAJMgAl8rQmQS+0qfxjLO4NY3qnHExuN9DkJdRI3ZJk8wO3ANI9DxAZz+/oToLHx0vZ2vN3iQ7C9HRtfeg5rnn5CCDFJUTD6m6dhv4suRc7Y8X3CIAsuua6T8CYreDwSgRSOwBaOw+XJRf6osXDnF0LRAEVLwJQATHENsbY2BOvqxKtmlpGwmCFZLNCsZsQiYYTaWhFua0GwtQWBxq1oXL0SsVgEalyFuagIhYccipITvwnXpEkwKybM8DgxJ9eF0XYr3LJJCPjd1VQtgT9Xb8Mqf0h0gTwQiOvm11+GFo2KCY6J530PE757IazeHLFOhc2CqW4HxjmsqIIMh18VVvK4P6oH6O/CRrurC0exPRJDc0xFUzSGWI8+0HGIWPl1a9CycjnUsH6s7lGjUXTADORN2h8miwUFZkUI9TKbBSabDJnEeo4NJpd5t7jCs0DPwkDKNNQsdJE3yQSYABNgAkyACTCB3UogpiWwoL1TJKFaHwxTqKpwhe2o2YzGLxYBJhPMdgcUWhwO2AsKhZWURA3JmtEOK6a5HZjktAkrJSX94rZrCVBCtS3hqEiyFtESiGha8jWBeKpiSwqnVP1k/J3ooewMb2j6nPwovvAFUL1iOdY+Mw/Vr78sxDVZdcedcQ4mXnAxnMUl4qCnuu0os1rgpQRhigyHyYTt0RgaAhE0+cLwdUYgR+KwRzXYIwkhxFMbuT67zbJILBfVEiLZHE0OqIMQnmTBJWs9CULfhrXCHZ6as6QUOQdMh3f6gUi4nQibJSEEvU4L8lxWlHjsmOC2o8JuEYnrdkWbV9+M5xYvw9ZPP0bN22/o11xSvE489yJUnXo6zA5nlzA/ozgX08wWxFvDUFtC0MLZs5JTfDhZsiWbItzPuxbZJGLYE9E4ElENiVhcTzZH/wbgi8WFUG+MqmiOxdBGnydhJmIqWtd+haali+HbtFG8S277+ftPReH0mXCVlmGE1SLOAQl2WswWGbLXCtlrEa8my66ZFMy0lmQLOlvQd8U9hffBBJgAE2ACTIAJ7KUESPS819KJ+c0+UKZmSszVuORz1H/0Puo/eg+dtTV9HpmjeARKDzsKZUccjREHH9IlICjZF1klJzhtKLOZkUMZuM2KeCXBtTstlXvpadqp2zR5siEYwdLOIGpDUdSEI0IAZbqR+zpN0pDIbV+3BtsXf4bm5V/q4rGiEhPOuQBVp54Bi9sNWQIOzXHhW4U5KFUUaCF1p4XEnNHIpZusrGQ9FlnJEwnQ2PEopj4neGjSgQS70Qz9TBMSAVVDQNMQjMfRHFWxNRLbIQjjcfg2bhCCsG3dahEvTxZ/cqHX3fALxaSTnSz3Tl20qzYZBV4bynMdyPXa4XXoYznHrMBukoY9jukcvvzyy/j7i//Be++8g8DWhq7jKp1zhLCYlxxyuIjBp1ZqNeMMrxvT4jLirRGRfT3TTYhxpxmy2wKTQ4HJYYZkkwd1rCTQRWZ4fwxxfwxaZxQJTT+/lJ2fxuvmUERMulCLtLWhadkSNC9bgoivXbxH4RF5kyaL8+MsK4ds1tlTFYBymwWlFjMs1E+PBbLHKl4lJTuTgizQMz3KWKBngShvkgkwASbABJgAE9jbCQTUOF5pahfiPKxpItaVrKLrnpnXldyJ4oBLDz0CJYceAdlmhRoMiiUWDKCzphoNCz/qWpeSf4mY0ukzUTR9JgqmTYfF5d4JE7nHj7JbMNFpx0SXDeMcNlD2bW7pE2iPqfhHfTMWdwTFlzRVRUf1JrSuXomWVSuFuzkJUC2uIhGPi0UkVAuFuhZKrKaJz2gdrSs22GSxCkumbLGIhG6hpkZoseiOzkkSyo44RgjzktlzIEOCM6bhaLsDR9odcKsJJJJW1PSPKDtrkpivocmLUBQNkWhXeTA14EfT8qVCEAYbt++0c2tODlzlFXCXV8A1skJkkaeEZlFFQqdNht9uQsKpYGKBC3PyPMJrxDRIS/u6detw2WWX4cMPPxT7t+bmYcSsQ0X2deJKVn7hmWKzYLpiwWTVhJKQhkSGLeU0WWbyWKDkWIULuRDkGc4zQeJciPWOiJ6sLqC74JNHxeZgBBuDEUQSCTFmOzZvQtPSL9C6ZrUYm9QkWREWdZoQIjd4YkOeDSOsZoy0WVBpt8KhmCCTYCcLu0c/lkwdBwv0LFyfmYaahS7yJpkAE2ACTIAJMAEmsMsI1IQiuKt6u4gtpxrKq596DJtefVG4K1tzcjH65LkisRYJ7b5KYkmJhIgZjn61GsHFXyKyei0i9Q3iwVmWZMiyDHdJGRSvF3A6INHidkLOzYNjwnhIBXlC8ETNJuQ7LbCTVVKWRM1ru2zSE9KJbUG8kss8WRBJ3JO7675ohSeL66e+AJ6sbxbWx7qP3sdXjz2I1jVfgdy5+2sktqlUGS1Ujkux2UXGb0mRIZlkmBUzbCYL5LgGWdWgxDWYVA2O3HzkVFbBO2o0PCNHI6e8Ak6LHVY1AWtMQ4XZjFlel6h1vSc3EuubQlFsCITRlJJTgcZ8OFkKjl6DjY3w129BLODvOhyytNu8OUJEW3NoyRXWdmtZKWIFOZDcZkwsdqMszwHVJAkLP3kEUHJFusbIs6FNVdEei8MUV1E97++Yf8+diEYiGH/8SRj7/StEFnZhKU8kYI8mMNOk4EyHG9aAPoGSyUaWZjnHKkQ5CdpsWZ776nMipkGlWHkq9eaLIBLTM9Z/5Q91xa3HQyF0bqlBR221mAykfAUk4KmRx0PBlGnIn3IAaDKFRt4Yh02EVRi5MCRZ0i3ryWM0WYc+PjOtJdnFnS3ombyeeVtMgAkwASbABJjAXk6A6lQ/tKURoVAYX9z+e5EhmkQBlbyadMGlqDrl2101p0kMT3E5uh58Y7E4Yo0haK0hNHdEUBeKojEa64paJpFI4obc4ikZlL+hTmT47q3Z8gvgGVUJdwW5GBdAtVsRdVgRcdkQ8zgQsSqImiVEZQmJHhY9srhTgixyNSYX/UBcE2IopGki1rnAoqDAYhZCnmpi203kMi3BTK+SJMQk1cnem5ovpuLxpNU83NaKL27/g4gBJ/FIZbbIskguwbTQuZQVs7D6di1JC6+YWIkm4BCx35r+GtVgGUxwN2Vpl0042OsSMcJ7WyPBTHkWakMRdPQmfhMJkTG+c0st/HW1wvWcmPeWed7sdAmLrnNECWz5hZDyc5EoLkA834uIRUZYTqDD347W5m3w1ddi5WMPilABe2ExZl9/M6qOOA6OiAZnWIOTXiNx5EgmnFqUA2um8jhIgOzS47Ypfptc2PeUCS6yrsc7o0Ks+1tCWNrixxp/qMvbwRhblGCOJhObVy4VCfSM+wq5wJcccpjI+E8W80q7ReTCoDJzqY1i6IU7vFt3iR9MKTcW6Fm4wjMNNQtd5E0yASbABJgAE2ACTCCrBMj6+lJjO17c3gZ/3RZ8dO2P0Lr6K2G5m/rDn6DsyGNhkmUhbk8s8OJgr7NLxNIDdKwxKBJS0QN1aiPLZF04hvpIFNsisa64UrFOIiGs8mrQj1ggIFzjwy3N6Kitgb+2uitpV28HTpZ7svqSu7UqS4hZFSglxTCPLIe1ajTMFSOhWs2ISwmEgwGEOtsR8tHSinB7O8Id7Yi0tyIejYo41pwx4+CtGgeLxyN2R9b4GV6nXtbJbt1jBEtPFmSBfbPZh/daOhCOa6h963V8dtvNIrSgYOp0zL75NnFsRiO36HwLxUibYJWA3HACnnBciHJzJA5zRIOUkghOT/G3o6X+a6f0aCT0IKHYqogcA7sqgVo2LwyKf++Ix9GuxtERiwuL97aoKsI+erZ4NCLipWlchRobEdjWgMC2rd3qfRvfofFLSd2ifn+Xq3ZEjSKmxVA++wiMOe6bogZ8z6ZIwMmFOTsJzMEyoARqqQnVdrWVfLD9NdaPB2JobQpgXYMPrb4wmqJq93sKIO4p5DXSsnypKN9GjUr5lRx6OAomTxUu8U7ZhCKLAio9V2hREE8AHWoc/ngcnaqGsNUEj9eGinwHKvNdIp69L5f4TGvJr4UF/b333sOxxx4r4K9fvx5jx44d1DnPNNRB7ZxXZgJMgAkwASbABJjAbiZAwu5vdU2ivnL9/97HghuuQbTDh3FnnYuZv/w1ZItVWKRPLsoRwpyEl7BstYYR3RoYVDIqsmZTbCmJdUoIJSzbcW0nixi5q4YatwsXVuoLWchIAGmRiEhUR8KaHsQp/ln8HQqJrPJdAkhRdPFO7/cipmg9ykiuUWxrQhOvWkKD4nKLuOK8yVORs99kyHa7iF/Ns5qhmYC4SYJm0q32DpsMDyW5c1iQazcjz2lFvt28SzLUb41E8d8mHxa0+UVyreaVy7HikftR/+G7wkX9gB9fI0pu0aTK7BwXJjpt4hyWm2QonTHE2yMi5jdBymQvaDtlCpcl3fWaXilHAb2SJ4VIzgZ9oiieEMcn/tbLDojYZjFMku+J+HpiQOtRxvFYMuN4j4mmnogoA/m2aEyMZfo7SOM1rnUlnUtdn8ZgcPtWkcfBEPD0Ggv6YXa5YfV4YfHmiFJp7pGj4Cwt6/OMHJHrwljHzsI9nVMoYrDzqCSZVcSS7+2Nks2RZb2zJYTtzUFsDUdFKTeaTDFaqGk7ti78GM0rlok8CjQBVzBlOlzl5XCWlHdNyPXHgiZFCq1m5LhtsDlpYsUMu8sCh8uMfKcVm5cvw8yZM7F48WIceOCBw8a61wv0aDSKadOmYcuWLQgEAizQhz0keANMgAkwASbABJjAvkSgOhTBA7WNqA+GsfzBe7Dyb3+FbLNh1q9/j6pTTheu35eWF2K21ymsyCLbclMQMRLmkcxlBaeM3aF4Ai2qiq1hXfikPmgPdE7IpZUSegXJarmVLJcN0KIxUfLN7EiWf0uWgKP3qBwcvQ/JJGKMg02NIuEZPdBH2vVM0WRp81aNRd6k/WDLyxf/prhsmWLczVbxfXIR7ybGRMkpGTZ6iHdQWS4LKvMcGJ3jgGuYbvPEaElHEB+2dop43Hg8LgT5qicfQ9OXX4huULb8WTfdKhKYkWXw0rICTEjIUEmQ+yiz946a9QMx3R2fk8imcl3kciyyhNMrlfCyDi5T+HD7rot1TYzxREQVZcoSYf1VC/fNkCzrZImtDkVFcjMKq8hUo2Rzh+S4BrU5k02Bkm+DUmAH/f11bTTJIlzhOyJoawliS1sI1cEItkb1EBqa5Nv26QI0LvlCTPQZzeL2wDGilGZ0RN11I1EifU6J50QywJEVeqZ4i3UnfJoEbKlZg7t+9h0W6Aad2267DXfffTfOPfdc8coW9K/rZcfHxQSYABNgAkyACWSSAFmbyTX62W1t8Lc04+PrfyYeYCk++Yg7HxBxy/lmBT+rLMYou1WIlRgJ8+1BUdd4VzQSO40R3Z04mkiAarFTci1KskUWb6qmTMZQChMOaXGRbCsTPQs3NwsXWcp6nlraqucx04QFZbInK6jZ7RGWUEpKpScK019pMsBoLocZ+W4ryvMcGJvvgttrw0DJqeg81YSj+Ki1Ewvb/SKenuKfN//3Jaz991NdZe4oBGHSBd9H8cxZIkHbiRY7TjDbIPtje6SVnNhJdjkpwM1dgnxXC/GhjGMSg1ooptf0NsqFUUmzHs4I9M+GsC7UKfFcPJHQkyRSTW+TBAWSSHhIOROovCD93aFqqA/ruRtSpX251Yxj870iKeJAjazjSq4Vcq5NZC7fFxt5QlBG+JrGTnxZ346GTl2UkzgP1Nch0FAvcmD46+uEeKdG+RrMySSJVNmAPB6MRuOVPBzIO4UmMCn8gBIpUkLAtkgn/vbwb1igE6yamhrst99+uP/++8Xft9xyCwv0ffEK5GNmAkyACTABJrCXEyDhKer+qnHhrkz5uOhhnh7QyYKtZy6XRNywU5aRbx6eNZHKcD1S14QVnSE0Lf8S/7v2KgS3b8PIo7+BQ37/Z1GzerzThqtHFcMZjgtR3lt8+Z6GnbyS21W1KzM2CXhK+kbJtKyU9d0kIaQlBGeKNaVM58K9Psmb2Pe0d1Isd9v6taJ8XEJVRWkystbTg36ssxNRfydiHR3C7b63Rpm9c8eOh3fMeHgqR8Nk0ZOmiVhws4IRTitKc+3IdVnhdVqg2HRrcVNCw6f+ABb6AqJeN7npb/v8E2x48Vlsefct4dpPQmHSqd/BtLMuQEFJhUgmNk6VcJjNjhLrniHMKFs2HQ9Zbw1ruCjVRRbxDJfr2p3jkVzltUAMcQof8EehddLEyNCt53RPIBf6TjUuhDvF9PfVhPu/Wy+FJudaYbJ+fS3lQz3HW9qD+LC6BTWNfjgDKkwpkykUHkPivGdFCjUQEEktKREgJQSMdPhENQQqQZgaTtMabMeb6//HAp1OzmmnnYbGxkYsXLhQiHMW6EMdsvw9JsAEmAATYAJ7JwESsRTLTHGHW8JUyzgmrKuUAGjHImOk3TKkWsTZpkKx3++0dOD1Zp94EE+3kWin5EYkwiiZGT28T3E7YB5A8ATjGt5q9uGNZh+ozjnVNF/85z+K2MwDrv4F9rvoB8KN/VinA9+xuSBRmaNA71nW0+krJaKijNDCVdlhhskmixhhESdMr+QyTyLGiP+leOCYhkRUQyISh0bxwORiTO7FKfHl6ex7qOtQUjAaR7XhqMjiHU5nv8lkd1FfOyK0tFOisDaEWltEtnqjxBmJAE/FKOE26yobKZZUCzuJdrKm0qRCW3I8dLQ0on7ZF6j7fCGira2QTTI8JWUonTUHZVNnwGzXLfQ0Dqa67Ci1ZSdrurB422QR990V+01/k0mXgr7pf3FOAYkmkEiUW+RBZcMe6jnbE79H4zURUhGn+t6dUWFpF+N4gNj2dI6FmJso67rIOJ7Muv41muxIh8FQ16EwEaqtvrnRj+1NAbS3BCGF42LCjH4zqAybS5aFbw5NjNEk3k7NSG4ZCiLc3orqr5bg74//gQX6a6+9JgT6Z599hhkzZuDmm29OS6Bv3boVtKS21atX4/zzz88Y1KEOGP4eE2ACTIAJMIGvMwHDVZceeqhuNYnKoViCGyMxfN4RwGJfEBQ/TS7PRiMrI+2HEmP1bFRW56g8N47IdYss1ruzkTB/u6VDCGUS5v6Geqz91xMiBloIUWMhqy/FTVN9aodTxDxbPTnIK69EXslIePKLYIUJUoIeLmXM9Dgwy+sUxyeEFAkki4yICXi7rROvN7ULF2nK0r7knttFxm8qZ3bcbfeicv8ZKIhoOMXiwHhl6NZXEnKUiMpc7BACIhONRI0Q7CFVX8KqLuRJvEczI3p66yeNrO2RGJpjKki4JyuRCft3PKEJloKnqpdy622KhVxlyQrn27ge7RvW7eQyTxZ2KsFlpSRhVEs7JwdUmotqO1PiN0ouRo3iX/MnT0Hh9JlwlZYLUUyigkrdTXU5RHb9TDVyu9djwFNcz8myzyJwWIiFaKdx3BXPrur/FnHu3cexKHMmEuFJYsKDJrrIXV2UQKOJkh2DcVh92teKzUIaAAAgAElEQVS/TOckQL9J/jgkP8WwR8U9xmjkabMtHBOZ+4PxOCJUYi+eAFWnoL+pbdm0Cnf84pyMacm9MklcKBTC/vvvj2984xt4+OGHBZh0BbqxXm+DMVOZ9/b1gc7HzwSYABNgAkwglUBLVMWCdj8+busUFonURtYKKmFV5SCxrsCtyPAmF3r+1F2RdQFEVs0vOgKoCemuxLGAH01Ll6B9w1ohfGgJ1dTAAgV5FZXIq6hCbvko5JRWoHjagXDkFwq3RjkBjLVbYFdkBOnhjBZoUGmHJiAhm0DlhSWTifKHiQzRYpEAs6LX197PZcc4h024TPfX6CGuPRYX2coprrQ+EhMMaGKBrNmUyGzlow9i43+eg6buYOMw2+GxueC2OOC0OOBKLvS3VdkheqmPFAPpqaxKCrcyIdzKrGbhFkvu20JAUjylSYK/sw0b33odtZ98iGg0gtKJU3DQeT+AzeURNcFpAoPOyVAaWUuVYgfMhY5dbjUVybxIqHctenIvCk7vyuZtZPVOZvLekdFbz+w93EabIN6dybrrflVPFiayfKd4R1ASqoCIfd0i4l9p6a1+NvVH1DAfOx75lFF+7IQu93i6Rmj8jXVYhcV9OI1Ed1f966Qg31tKbg3nuPfE74pJp0Qiec9JI9h8TzyIr0GfRPx6IAYtoIqwBbH0kneDQmNogvXTVctw1uUn79sC/de//jUeeOABrFu3DgUFBYMS6GxB/xpcNXwITIAJMAEm0CeBnlYV+rfb7cakSZNw9tln46qrroLZPHTraLroyY3wc18AH7X5sdofEvqH4vdq334DDf/7AI6SUhRNnylEpaOwKK3NSpQYbOt2tH28AB2ff4bouo2wSQrsZivsig0OhwvOohFCWFNyH4oZ7mqSBO+o0SiYNh25k/bvlo2X4orJLZlKdumi3ARS6Cb6myzxkv43SKQrZiRsFsTIrVeRUOK0oshhQUQCQomEWEj0d2hxdFB8M4lCCaBMv8QgIQFqKIyO+hpsefMNbHtnPiwwIW/kaOw392yUjdkPdlWfRBDmUYqNjtHD4Y7SYhQXGW5rQaS1FeG2VoRamrsEnqO4BEXTZyB/ygHCi0ANBZNZiYNoXb0KjV9+IWou2wuKUH7UMcibOFm4m09x2THD4xTe54NtFFtsLnVCybfvtRZW3WtB572TcKfPyIJvlOVSk38bWb5pUoD+ptc+XJhpoqYxqgprPGWVbo6qO+YEKOdAMICIzyfGIbnJU9Iqe1Ex8ibuL+LMqZklCZV2i8gNQOENw2lkHZdzrFC8VhG7zJbx4dDk7+4LBMQkoJEYkLx4KEEgefKoGpauWY7Dv3fivivQGxoaUFVVhZ/+9Ke49NJLu8bDvffei/vuuw/vvvsuKisrxTrpNq6Dni4pXo8JMAEmwAT2dAKGQL/oootEV6kMU3V1tcjXomkajj32WLz55ptQlMy5w6YyoVjwD1o7saCtU1i+KZFW/f8+wOb/voz6j94Xia16NorHzd9vssiC7XJ64LS74ba7YI1LMAfCMAcjsIZVKMGwSGRmNGdJKXLGTQC9OgqLRcbsVIVJAj3c2iy+07JyOTpqNouvymYL3KOrRN1sihOOdnakf1olCSSCvZWjhdXaXVHZJaBI2FHyMDUSEYIr5vcjRgnEAp2IdnQIIU3lvIwSXrRTKt1VfuQxyNt/qpgYoNhjiiOXoddyJr0sksZpCZHFvNeUU1oCvs0b0fTl52hds1rEk/fVeu4vV5GFS/xQ4pbJ/dlS6hTu7Oxuu4O4sOQn3fBFSa6QqpfnSilJR4KdPCnqw7pHBVndezPiky9Dmc2CMQ69Dj1lAB9Ko5hl2WMVopys5QNljh/KPvg7TGBfJEAZ/Rd/9jkOOnTWvivQly5diunTp/d7/p1OJ/x+f9pjhAV62qh4RSbABJgAE9jDCRhCqWdCrUWLFuGoo45COBzGU089JXKvZKK1xVRsCEawPhjGWn8Ym0J6KRtyN9/w4jPY9NpLwiJILXfCfhj9rdNQecyJkJuaEVmxCur6TUjUNsAajcNusZEs7bNblGHXPbISuRMmInfCJFHyxmhmCcgxK8hVFJHtnBLFRUjUahpaYnFRizjS1obmFV+iadmXoMzcQhB7c2DLyRVu4rLdDlAMe9cSFwnMEokd7xlZfTVVj1HUy2y5xUSEFo0OmMiM+kzWa3tBgUgUljdpf2GlJ5flaW47xjiIQd+NkuKRyzrVBye3aV8sLpLkdcR1Ua4G/GhesQzt69cKa78oGUTx63aH2CedA9pfjiJjusfRb2bo3nqhx5dbYS52Ziy+PBPjcG/YBj3IUz3tOFneDLfZAGVnp5JxQFCLg9ziRTiClhCu61Ray0LeG0NolJiPxDhl9qaEYmwlHwJE/goTSINAprXkXheD7vP58Pbbb++E6tlnn8Vzzz0nrOjl5eWYO3duGjj1VTINNe0d84pMgAkwASbABDJMoC+BTru54oor8NBDDwlxTiJ9KI2E//pgRMSTr/CHhKuu0cg9t+6Dd4Qwp9hwavbCIow5+duY9o25qCiuhDcYh4dcBcl12/gi1bcO+HU37mhULCR2yaWcMlRTcjQSmKklcAzLYqXNghE2s8i621ejfVGG97WBkIgBp2OIBQIie7ZwZx9kI5d4ih/uqN4MX/UmYSWXLRbhNm+yWsUrJXMTtbFFjWwXLC43rHn53VzrabfpCvOBuki1ltcEwiLzeH+FnWh/B7jtqBpgIqDn/sjiqhQ6oBTaRWZubpkhIJLfJa3rqcnCRNIwVQOSMcn97Y2SAIps6ZTYjUqX2WTdSs7nKTMnibfCBAYgkGktudcJ9L74pJskrrfvZxoqj2ImwASYABNgAruLQH8C/f7778ePf/xjHH/88Zg/f363LgaDQdx555145plnsHHjRlgsFkybNg1XXnklzjnnHFDmdEr0tqDNL5JekWv4sr/+BVs+eAfhlhZhdUYiKQ0lCVVHfAMHn3IOJkyaiUT9Nrz/4mPYuGIRWpu3wWaxYURBEaZPnonTz/g+nMUj0aFqCGt6TWpy5U5tJAetsl7HOscsY5TdipFWy4AlxXo7B2Sd3BiMwqeqIpO81aTXyCbXcnIfptI6JOipB1rSpZz+pmRAJOzJFZmS1ZEVezCNrOLupKWcjoFcy8nin8nM29QfSjxHHg3k2UDH45Alkd2drLG0f9p3uo0yRguXaLLAUuboIbpXp7s/Xq93AiK+nYR6XNOt4EaZOiPL91ASBzBsJsAEMkYg01qSBTpb0DM2OHlDTIAJMAEmsPsJ9CfQb7vtNtxwww07WdA7Oztx9NFHi/i5wsJCHHnkkQgEAnjvvfcQiURw6PcuRdXPrhcHF25pxsZXXsSyB/6iW7mTzSQrsNqdCAc7ccRpF+L0838uPom3N+F3Pz8L7b5WTB67H8aPGoNwNIIt2+qwcsNqPHDjXTj/5LO7gSM3bpFcDQnYJNOAmdJ3B3VyLyehTkm/yI2e4sYtkglUn5wWm8kkRLHdeKUEcxnqKIk0yWxKLnpdairHZOyAxoCwzFINcaonLjKb69mh+2q0Db2sliLEOLlFU2knbkyACTABJtA/ARboWRghmYaahS7yJpkAE2ACTIAJpEWgP4FOwvujjz7CvHnzcN5553Vtj6zqZF0/7rjj8J///Adhiw0ftHbgP198iRcvOltkRN//kivQvm4NGhZ+BKrrTK1wZBWOO+9HqKzaH0V5I2CSTOj0tSDoa8UhEyZjotOGvz95D2577C7c+pOb8ONzL+92DLVb66DGVVSVV6Z1bOms1CVcRcZ1WijbOmVm1y2P4pWUMlkfUzNzGxm6yVRuvJ/6N71H/6Y44n6Ebjp9TGedLsFMtadtSddl4cKsDKmEmegz9Z2ssXQcxqss6cKc3aHTOS28DhNgAkxgJwKZ1pJfGwv6cMZKpqEOpy/8XSbABJgAE2ACwyHQU6BT5vbNmzfjjjvuEPHnp556Kl544YWuLO5kKSerOVnK5y36ArV5I/BVsiwaWcsX3nQdGv73PmTJhIqcUoydcjCCJg0LPngJl/zybkyddQyVDkeeWUGRRUGhxYxym1m4jVP72e3X49EXn8CCJ9/C1PGTh3NoQliLGFurAhOJVhKv9G+KvyWLsiHEh7eXAb8tRK7hdpx0PdZFvfCL1wV+j1rblOFd6PqUMl50PF39NvpP8cR0XObBx8YP2HFegQkwASbABDJOINNakgU6u7hnfJDyBpkAE2ACTGD3EegvTviSSy7BI488Imp6h+N6maf/vv8+fnzySSicOh0nPPW8iCVv/nIxGl95BeFFi5Gj2PHJlqUwmy343X2vi5rla5d/igduuQwVFWNw4xU34tRDjoTLZu/1oJ945Wlcdeu1mDVlJn77w1/h0Gmz+i7xRgLcTILbpItuIVYp6ZWiC3N6j+Ntd9/g4j0zASbABJjATgRYoGdhUGQaaha6yJtkAkyACTABJpAWgZ510DuDIXy5dCk2r18nvn/GrXeg4pQz0RmOwawmsOmt1zD/pp9j3EGHY/bUoxBcuRLmUFS4q1M5sBEHz8ad9/wM4aAftz+5AOPy8zHWYcODD9+KB5/5m7AUW8wWTB23P46ZdSQuPOW7GFU6squvVIf9+7+9Ei+++6p4z2GzY/qkaTj+8OPwvXMvwIjyUj3u2UFWYxbgaZ1kXokJMAEmwAT2GAKZ1pJsQWcL+h4zuLkjTIAJMIF9lQCJ3A41Lup1N0djIot5pd2KcpslLST0fUpaVh+OYrLHKb5z15JqtAUiUKMaLKqGT//9GOY/fhfMFht+fvPfYYsDwcbtWPbF+3jrk1cwKqcMc0YdKMqZUW3u/MlT4Rk1WsRqX3fBHISCndjw1moUp9QeX1ezAf/9aD4+/OJjfLr8cwRCQSHW//GHB3HKkSd16/vy9Svx+qJ38NHihVi0+DNEo1F4PB6RTX727NlpHSevxASYABNgAkxgTyPAAj0LZyTTULPQRd4kE2ACTIAJfI0IkKCmUlif+vxY2RlCc0xFVGQt39Eoj9nFZQU4Ot+z05GHQjF8vt2Hbb4w2gJRdPgjQDgOi5rAT8+YKta/44mFCDZtQ7ipCeG2VoRbm/Hyu/9CfVsDqnJHYnbFAWK9Rn8L3tm4ECMKynDFL+6Gd/RYSLIs8qiVWc0oQwyzT54Kp92Bre+t77PUVjgSxiPP/wM33vc7FOYWYNMby0XyMarHTBnBTW5Ll3t6R0cHbrnlFtx11104+OCDsWjRoq/R2eVDYQJMgAkwgX2JQKa1JFvQ2YK+L10/fKxMgAnswwRIFMfIHTuZvGx3oKgJRbCw3Y9F7QG0xFTRhcC2BgS3b4MaDCIWDIhXypI+YvahKCorx91VZVCCKrSginggho6OCF5paEWI6o4DYv1Q03ZhDQ81NeIvj/1avH/utFN2OsROxPDqsjeF+/oPL/sdRozbD7LHi5uv+hZUNYob7nkZEyuqMNZpQ5XdKsqEPfL847jmjhtx3Oyj8J+7n+4XGyU2G3vSAdjWuA1ba+oxoqK0z/UpKZ3dbofNZgPVYOfGBJgAE2ACTGBvJMACPQtnLdNQs9BF3iQTYAJMgAkMkQAlQ/ugtRPzW3xojqrwKjJG2S0YZbdilM2CKodVZB7PZtsSjuLphhas9IfEbkhM17z1OqrfeBUtK5d17doim5Fj8yDP4UWhMx9jpxyEbx5+JI4++CBYbTZEwmG8smIV1qzfgM66WiHsY/7Obl1/epke633VOdfBXlgMe0EhbPn5sOXmQ7bZ8OiffooVn72Hw048G2f94EZRr/vFR2/F/P8+jcMPOhzP3f64sJZTW1+7ESddcQa2tzTiuTufxIlzjhPvv/rhGyjOL8Lsg2ZBdllgcpshuy1YtnoFZs6cCafTiZaWFpjNZjz11FOYPn06Jk/unsH95Zdfxty5czFhwgSsWbMmm/h520yACTABJsAEskYg01qSLehsQc/aYOUNMwEmwAR2J4GAGsfbLR2Y3+yDP66JZGaR1hZYvDkwKUq3ru3vsuP80nyUmRVo4ThA66tU91rTa0dT3eiezSQlS34la1QrO5fF6lTjeGF7G95r6YCWSKD2nTex7t9PwbdsKdwWJ7xOL6pmzEHZ6InwWl1wWOwwWSzQYjG0rlqJjprNYq8WsxmFRUVoaGjoVoPbmpsHR2ExHEVFuhgvKsb1Vx4vvnPPC8u7ekzu6k7ZhBxFRkvtelz+o9NErPiSFz5BReEIdAb8+NaPzsSXa5YL9/TDDjxExJN/tHgByHX9iu9cgj9f+weYnLoQv/aP1+O+h/+KsrIyIb4plpz69vHHH0NVVdx99924+uqrxf5JhJMYHzNmDKZMmSKs5tXV1fj0009FNvlnn30Wp59++u4cKrxvJsAEmAATYAJDJsACfcjo+v5ipqFmoYu8SSbABJgAE0iTgKol8EpTO95o8iGsaYj6O7H5tZew/rmn0b5hHSRFgbO4BPkjKzGqYiIqJk7D2FlHwB2XMN1qw3S3A0ofpbwoTLw1poqFJHuBRUG+WRf7ogZ3sh53Z0LDynAE/+vwIxbTENy4ETUvPItwbS1cFifyRo8VSdjyJu4PxakndeutRdrbgbUrsX35UmGRrqisRKioBK6Ro+Aqr4Bi717ajIT4T5Ix6B+8tV4I8lyzAo8iQ5HoU72dd92leOWD13H1eVfgDz/+jXiPBPl9Tz+EF955BZvra8SkwJSJk/HD71+Gcy84T4hzo8TZ0qVLMW/ePHz00UeoqamBz+fDiBEjMG3aNPzsZz/DUUcd1bUvWodE+IIFC7BlyxZQ3XUS9rNmzcK1114rBD43JsAEmAATYAJ7K4FMa0m2oLMFfW+9FrjfTIAJMIGdCJAL+/2127ExGEHb+rXCWr35vy9DDQVhMlswds4xKNQsyAtqcKsmIKFbxh1Fxag86RS4R40WluapLjtkSUIcZEBPIBjX0BRV0RKLQe1hTLebTCi3mVFqtYAs5rXhqEj6Ri3qa0ftu291ubHn7zcZI489AWT5pmaTJOFqX2G3wCPL2BgKY2mn7gZvNHLJP6M4V/yzOhTFe60d3T4nu/3huS4hxGld6ne/zag1bjYBNKlgNonJBVFn3Jr0BrAqkOQBtsPjjwkwASbABJgAEwAL9CwMgkxDzUIXeZNMgAkwASYwAIHlnUE8WNuIzpiKlY8+gGUP3C0EeEnlBBw290JMO+houG2urq0kVBXh9jZs+3QBGr/8QqxLVu2K406EJaWUmPGFeDiMwNZ6BBrq4W+oB7Q4PFVjkTNmLKx5BV3bjYdCwlLfunYV2tetgaaqcJWWo+L4k+CuqAQJaop7pyRsJOpTjfUN4SjebOkuwGnD55fkieR2n/sCWJGMYzd2WGBWcGpRTtf+TWTFtySt+SS4k1Z9Et+Ghd+olc6DigkwASbABJgAExgegUxrSbagswV9eCOSv80EmAAT2M0EKLb7pcZ2vLS9DWFfOxbceA3aP12EieOn45gLf4KRVZNAKpisy5Nduks4ZVAXS1QF5UIn0V395qvw122BbLbAXlwMaAmI/7QEtGgE4daWPo+ULOLe0WMQaW9DR/UmJJIZ1u35BSg9/GgUTJ4m+jDSasHBOU7Rl95aVNMwb2vrTh+dVOBFidWM15t82BaNQZOAkMWEoNWEaYVuzK0ogMmmCAu44Ya+m08L754JMAEmwASYwD5BgAV6Fk5zpqFmoYu8SSbABJgAE+iFQCAex19rG7GiM4SWVSuw/IbrUanZMW3mMRjz7TOh2B3IU2RM8zhQabeK2t6pzReL4xOfHw2RmBDkTSu+RP0H7yIW8AOSBIlKskkSTLICR/EIuErL4Cwth7O0TGzGt2E92jetR8emDVDDYfGeq2wkcidMQu7E/UQGdWq5ioyDvU6U2SwDnsfnt7WhI07O9Xojj/rpI7w4uMyL3zY0os0sIWyWRL+oXT6yEIflugfcLq/ABJgAE2ACTIAJZJ5AprUkW9DZgp75UcpbZAJMgAnsAgJbI1H8pXo7yC285bkXEHvuVRQ78lB+1LEom3OUsCTP8Dgx1d09kVpvXdsUioja5EZt8YG6T6XJRFb4ZAw71S2nkmdmlxsWj0d8nVzZyeo9xm7FGKdtp8mB3vZBrufzAwEsU6MIWkzotJvE68xcF+YW5eDG9fU7fe32CeUosQ4s/Ac6Jv6cCTABJsAEmAATGDwBFuiDZzbgNzINdcAd8gpMgAkwASbQKwFKskYx2U65dxdw40srO4O4r2Y7UNOIwKNPIbG5ForDgbHfPhveMWNBiduOznNjhDX9+ubkXk51yjcl4ugkdU2J0yiJmixBkU0osCoYabMIN/VcswxN1VDvC6PGF0RDRxidURUKJJTYzCLxW7nVLOLGexXisgkmuwzJpgjXdJNNhslhFi7qb7b48HQPN3fKFE9x5o/XN3fbHCW0e3C/UeCYcr6gmAATYAJMgAnsHgKZ1pJsQWcL+u4ZybxXJsAEmEAKARLHTza04KPWTuHSXW6z4JAcFw7JcaLQskNkd6hxLGjpwLvrG6F8vARbX3kFajAAb9U4VJ16urBej7CYcVSeGw65d3GcCp4yl8s5VsguC0wORQjmocZwJ2JUOz250N/JGuqQJb0Em7Eks6b3NQDWBEL448atO318gNuBpZ3Bbu9Pcdvxy9ElPJaYABNgAkyACTCB3USABXoWwGcaaha6yJtkAkyACXxtCYTjGv5Ssx2r/CHUf/yBcBUvO+IYOAqLxDGPdVhBLuVb/WFYWyPwVjeh8cP30fTlFzCZzSLrevHMWSImm5LAHeR19utOTpZqJc+mC3Nn+hb2XXUCiMdlX1WLiYrURhHnPd8jt/czRugl27gxASbABJgAE2ACu55AprUkW9DZgr7rRzHvkQkwASaQJED1xe/YvA3rg2Gse+5pfPaH3+ifSBIKph6AimNPwPjZRyO3thnWtdXo2LgB4RbdzZsStY2Ze5ZIxEYO8XNyXBjrtPXKltzIlXwblAK7cCnf09v16+pQF44O2M1rR4/ANLdjwPV4BSbABJgAE2ACTCA7BFigZ4FrpqFmoYu8SSbABJjA145AQI3j9upt2BSMYPVTf8fiO/4IW34BJl14CVo+/QS2jXWo9JSiwJnbdeyy1QpvZRVyxk1EwbTpkGRZxJsfk+9GcYorvK7xJSHIlWLHHmkp7++E/m1LEz5q6xzwnFP8uauPkm0DfplXYAJMgAkwASbABIZNINNaki3obEEf9qDkDTCBbBOgbNnCt5cWUfWqZ7GsbPeAt59pApQM7k+bt6ImFMWKv/0Vy+6/C54RZTjr7icwylsCTzCOeDCItvVr4Nu4AbbcXHjHjBMlzEiUG41KqB1X4IUrJd5cJHUrcsA8wgmTpf9kc5k+rkxt752WDjzRIyFcz23ThMQdE0dmape8HSbABJgAE2ACTGAIBFigDwHaQF/JNNSB9sefM4F9lYBfjWNNIIyWYBRWNQF3PAFnHLCrCTgTgDMhIaEmgLieaAsaRCmrnk0IdNLoJklk2JYo6ZZZhmTZ8Wpkxqb3ue1MgOKc21QVFsmEXBK3lNwsEkci2iPRGZ0HskbLEiDrGc2N155/i3NgHjgxW1M0hj9v3ibKo31131/ge/FljB87DUf/8Jew5+SKsmRRLYH6SJSGwM7nH4BHkcV6FHOuUNp36qPZJES5ucghErLtzY28Cm7asHNJtdRjOjTHhSsq9Dh9bkyACTABJsAEmMDuIZBpLckWdLag756RzHvd6wmQcO4kkRdT0RqLi1da4oCwZrpkWbzKqoaa5gBqWgLw+SJwRDQo2s6im4BYJAles4xcRUGOmb4vwyZLsEsm8Wrto2RVfzBJRJJYp/JV4pXKWSX/LYT9PmSNjycS+KrFjyUNPlQ3+2EOx8VEiVeTUGhRRLb0IouCArMCc1L0DnagUgZ0wdUi6yKZJlBI1NP7Jgn1gQierW9BKBRB9bP/QnTZSjgKijDx/Ith8XgxJZnkjfYb0TRUh6JiXNGETJ6iiPJmND4MUU7rUYkyc4lLuLMPNQP7YI8z2+vHtIRIFKf2MkFl7PuC0nwcX+DNdld4+0yACTABJsAEmEA/BFigZ2F4ZBpqFrrIm2QCewQBVUuASkB93hHEko4A2mMkx3c0hSzhkTicEQ2usCbEuDmui/FoZyc6Nm8US7BpOxSbHYrDCbPTBbPTCYvbDVtePmy5+VCcTpEkrGcjm6hbkeGRZSHkvYq+5JnlPutN9yveJUm3upOYpCVZ/kpSSFSaRB1s4296FZbjpHBN0CSDcLun14R4Qep7tG6yhvauOnk0abIxFMGKzhCaoypkLQF7OA5HKA4pqKKhJYBojDwTEuio2YT2DetgzcmFu7wC9qLiLtdxIp+jyEKw68KdhDFV+B5eqw1H8UFrB8J+P9Y9/y901lSLRG8Tz7kQisuFA9x2HOhxpr0T2WUWFnM5z/a1nGi5aX09NoUiffK4ZWwZqhzWtHnxikyACTABJsAEmEDmCWRaS7IFnS3omR+lvMWvFQGyui7vDGFRux9fdgZBWbep+ao3oWXRIthafHB3ROAJqrCGVCTicVAiL9lqg2yzQlbM8DfUI9Tc2MXFpCjQVLVPTvR9a24+LG4PzA6HEOxmhwtmlwu2/HzY/5+9OwGPpCr3Bv6vruq909n3ZZLZF4Zl2AUFBcQNXBBQARXZuYJXcLkK6CCbHypcZYfBQQUUBEW4soiAgwOyDczAMPuSyT5Zu9P7VvU953SSSWaSSTLpTjrpf/H0E5Lprjrnd05V11vvqVOFxVBtQ2frFtn6ArOGQrOGIouGUot2QEH7aI0nMu7DDbsf6XMDGWWRTR64ANAXvMuh+f2vvgsE48xci+eHf+gP4z2PH5s6/EgEY3CGdXmRxB4dOkA80tONjnXvovP99xDxeIYUWbVY4aqsgquqRt7n7aqshOZ0DbzHrACF5v6A3Qy3Zr1OgLoAACAASURBVIJZTMKmKMmf+ym3yIRvCUbwjjeAwO42bHnsYUQ8PShccrB8drl4VNrhbicOybGPxi8DcRGQm8sc8tnlM3l5qLkTL3X1DltFYX7/ktr9us9kG9aNAhSgAAUokCkCDNDT0BKpRk1DEblKCky6QGskile7/Vjt8Q1kyv3NTeh84QXE//MOcnuCKHDkQRmUV9VsNiiqhkQ0Aj0WGyizCP5yZtUit24O3HVz4CguhWEkEAsEEQ/6EfP7Ee3tRbinC+Fu8epGpLsLidjIj5mSGffCYvmsbEdFJVwVlfJ3pW8YvMj2imC9zGpGmcUsRlpDJPPjMCBGAoiEt7yNXZRS3tKuyGHdNvkyyZ+WEYbUi893x5ND+3vjCbkOkXFOZvXFhYEDzzWLrLvJqsoh+QOZfbEBMaLApMBQgKZABNu9IezyhbDbH4EWTQbjIgD3bN0sX8H23cl6yTokyyOCYrGICyCFi5eiYPFSxPw++Joa4G/chWBHe3JEQN8isusiaHdWVCV/llXAZBk+KBZ3+ovZxPMHHFT44zoaI1GZzRcXNXo2b8T2p56Q/aP646eg4vgTYFIUiHup54/weLT+sggLc7FdTv42XSd+G+9O/Gq3Dw80dQz7sTkOK5bPrRzvKvl+ClCAAhSgAAVSLJDqWJIZdGbQU9xFubrpLCCCTZHlfN3jx+ZAWFZFBG09/3gRif+sgbujF26rSwbh+XPnIW/hYtjyC5KZbleOzIT2L0YijkQ4IoMxcW9x/8zb/cOnZcBoGBAZYDEv3HCLHo0iFvAjFgwgHggi6u+Vz8AOdXYi3NUhA9LB2WxxIcBRXi6HbIsLAjlVs/bJtI+nfURZRaZSBO79PyMJce99Qgb4Iy0O1SQvCoggqtJqEXH1hBdvPIEN/pB8JJlwE4u4COJr3AXvjm3wbNk8ZJSCCK5FcJ6cAd+AoevyeeHFhyxD/oJFwwbaiXAY/uZG+FuaIC7GBJobEQsEBsou1mcvLpXZdbPDCcVshkkzQzWbpbOtoEhuYyCINwx5oaB7w3p0b1yPUGcHVLMFc750JvIXLIbIyn+iwI1K2/BBv7hYoeWLZ5fbYMqxzMhh7PvrGI3hKH68pWnYt3yqKBfnVBROuF9xBRSgAAUoQAEKTEyAAfrE/Ib9dKpR01BErpICaRGQWc14Aut6g3jLG8CH/pAMPMNiKPQ/X4Tx2jtwt3rgtjplsCcy4AUHHYyCBYuHBL5icjcRlDpVE0xQEDF0RHQDkYSOmGHIfyu3WlBpM6PCat5nsjcxEZYvrsMTj8tsvfjpjSUQNAyEDV1OPGck09xQDAMmQ/wEjFhc3s8eaG2Ww+gDLU0IdbTLYFQsYji0o6xcZoDFYsRiSMRi0ONRGAkjeT+5YoJJ/DSpUC0WaPbkvfHyp92xz+96NCKDVxnIiiC2pRkwmWDNy4M1t++VX4CCRUvkRQvxjG4RqM91WOUQ/PEurZEY1vtCaIpEZdsE21rlveO9O7aht6kBRt+tAiLwdc+eg7x5C5A3dwEsbvd+LyCIGdBFucQtDB3R+MCrNzFoXgFxAaXXu6e+Lcn6Dh4dMdxGhIOtqFhm7MUFFbGIizeibFUf/TjspWWyT3yy0L2Pibj3X823QiuwQc21zphJ38bb7vICjJGcKE7sS3svl9eU4Ni8PbcgHMj6+RkKUIACFKAABSYukOpYkhl0ZtAn3iu5hmkjILLia3uD2B2NoS0Skz/F46zEIiZxa3nlRcRffQM5u9pRbM+Tw6rdNbUoFEH5wiXJydv6ZmmvtVtRY7PIYeTjnfFbBMYme3JmdTm7uvjZ94guObHaoAnZxEWEQEKXQ8m7Y3GIgLUtGkv+DEXhCcdgjhtyMjpL3IDqDyGyZRsi27YjvqsR0ZaW/d7vPtHGsxcWSaeI1zMkcFVMKgoWL0HZkcfCVVUt3yOe2b3AaZOB8XDD5/0JMRt+Ql6kEI9AE4GzyJzHQ0F0fbAO7e+tQXB3a7LIigJneQVya5O3Dbhn1ULRkhcAbIqCCptF3h8ugjxxuUKHAYfJhGqbRf7bkKS+uD4hJsmzqgirCpoTCTTGY6iPx7AzFpPzDqg65KRzSiyOSEsLjGAQSjgKJRqHEo1C8Yegd3Yi0dkjM/kisBcXDfLmL0DB4oOQN2f+QGZdDIM/ZdCzy/sz5eLectVtyeqgfO/+eOP2loHRLIP/7baF1XISPy4UoAAFKEABCkytAAP0NPinGjUNReQqKTAhATEs+vG2bpkhF4sIeoPtbfBu2yqHR0ff/xCOrQ2Y5SqFZtJkQFm4ZCkKFi0dyMSK7LjIutY5rDIoH+sig3GHBpPTLF+q0wxFBOcperxZIJFAQygKMRx4VygqZzFvDg+6dz0URmJnAxyKGQ7NCpfJCqdihtVQYI7pMtsuPAw9IYfkx8PivvgQ4qEA4iHxMzjoZxCKosqZx+VEahWVUO19E5sZBuLBgAzUA60t2P3OmwjubpNMIpAuOfyogcy2uP4gLnCIjHp/MC5+itEGfQ2EiNcLf9Mu9GzehO7NG2SmXAT9Yni6aBt33WyZ4e9fxGz24oJJjd2CEot5xBnXZXuIdsix9LWJlrw4MsI4fGEjLohsD0bkS/QlYT1Q1r06ghjhIC6YKP4AzIoKs2aRgb1qANUWMw7KdeDYIjes4vn04mKM2ZQ195SPdZ8Z/L5HW7rwXKd3yEfFM+DvXFSTsn3oQMrFz1CAAhSgAAUokBRIdSzJDHoaUNlZKZApAiJL/ue2bjl8XQSijS//A5se/R16Nm+AHgihNr8S84vqkG93w1FaLgM/8bLmF8gqiIm/RMA3z2GT9wmP5VZqEYyL2bX7A3KZKU/FTdjjQBXZdjFaYKM/hI2BMNqjMaiKIp+zLiZw6599XGSX1ZgOLabDFNcRExOtxRLQ+rLFWsKQz2xXE5A/xe9yaL2SfNk0FYUWTU481x1PwC8mn+tDUhMGQjt2oPPNN6R3/7B7R0kpcmfPRe6cefLxcvIiQDgMcf+3uN9eDNP3NTXKydv6F3txCUoOOwJFSw8ZmFldDJ0vtyZvGaiwmeUz44dbhL8MyF1mmES7pKg9xHO6xezsIfFKiNsTEmgJx9ASiaKlb3SG8BZ95+AcB5bm2OUj8riMT2CdL4hf7kxe6OlfxKR6l9WUjG9FfDcFKEABClCAAmkRYICeBtZUo6ahiFwlBcYl0BOL46l2j3zmdCKho+Gfz+OD++6Q9y47bU4cdshHsWT2IcgtqYAI/pxl5QNBuYgvSy1m1Notcii2dYSZzPsLJIanq26rHJqs5lpkNnY6L+KebDGk3icC7oSOsK4jLH8a8v+Fj7hYIbLVewecfhGkRmJY6wvitR6/HJIvMspiSHj7qn+h5+134F3/AcwJHVbNCrtmhc0sftpgM1tgN9uhKiZ5L7sYxSCy9GKyOzF7uhjSLrY9y27BYpddTkK392KyqTA5kiMVBkYriMe7cZm2AmIEw231u2WfEosYKXHNnHI5pwMXClCAAhSgAAWmXiDVsSQz6MygT32vZglSJiCGez/b4cXznV45QZsIzN+/59fwbt+KfGc+Tvn8+Tj846fBVjB09mcR+Ilh0XV2ixx6LSbw2t8isuRidm1VvJy8D3Y4KxFYiez96h6fHMHQP9GXmNW+Y+27aHvzNcTDETkDvpjQTfwUE80Vz12E/PxieT+9eImsvbin/PAcB47KcSBXVaGoyp579i3JZ6qbbJr8yWXmCYi+tN4fknMBHJRjh3OE0RIzr+asEQUoQAEKUCDzBRigp6GNUo2ahiJylRTYr4B4LveLXV483e6RWd+O99/Dml/ehM517yHPmYdPfuFbOOLjp8ssuchvi/vIxf3P4l5Wt6oiRzPJIeD7DcrtGrQiu5xdWwSDXMYuIIaAv+Hx41/dPuwIRfb7QTGxm3h2e5XNgkqrWWbqF7rso140GXtp+E4KUIACFKAABShAgVQJpDqWZAadGfRU9U2uZ4oExIRodze0oyEchb+pEe/95hfY9cLfkWNx4uTPfR3HfuZsGZiL8Hu23YplbseY7wVWLCq0Qhu0Qjsz5Slq312hiAzUxYRr4h5uMVxeBOIiIBcvcXuBNsn37KeoalwNBShAAQpQgAIUyDoBBuhpaPJUo6ahiFwlBfYREMNeRaD3cGsXQpEI1q+4Bx8+eC/siorjP/JZfPQL30ROdY38XJXVjCNynWN7DrcCaHk2aMX2rH8ONbsdBShAAQpQgAIUoAAF9ieQ6liSGXRm0LnHTUOBQDyBB5s78bY3gJ7NG/H6dT9AeMcOHLH4WJx4xgUoWrxUTipWbNFwpNsph0yPtojJ3rRihwzMxTOxuVCAAhSgAAUoQAEKUIAC+xdggJ6GHpJq1DQUkaukwIDAB74gVjR1ojMYwvrf3ov6h1ZiQX4Njj31TNSe/GmoVquc6flwt1POxD7aImZfN5c6oeZb+Vzl0bD47xSgAAUoQAEKUIACFBgkkOpYkhl0ZtC5g00TAZE1f7S1G6/2+ODdsQ2br1+OMk8cs6sXYPZpX0LunLlyArgjc51Y5LLv95nliqLICd/MZQ75WC4uFKAABShAAQpQgAIUoMD4BRigj99s1E+kGnXUDfINFBinwLveAH7b3IlAKAr/X55B8KlnkWd2oPiwIzDrlE9DtdmQp6k4sSBn//eZK4C5yAFzpQtiSDsXClCAAhSgAAUoQAEKUODABVIdSzKDzgz6gfdGfjLtAr3xBB6pb8e21l7ktPag44m/wLNlEzSHE7NP+yLyFyySZVjotOGoXCfEI7qGXcTEb4V2WERgzkekpb3duAEKUIACFKAABShAgewQYICehnZONWoaishVZomAoRswYjoSvgjeb+3F6w3dMCIJeLdtwfan/4KY34fc2fMw+/NnwJKTA5vJhOPyXJi1n3vNxWPSLJU5MNn57PIs6UasJgUoQAEKUIACFKDAJAmkOpZkBp0Z9Enqutm9GfFINMRF8J2QAbgeTcCI6snfxc9oAnos+XswruN1j18+1zwRCmHXi8+hY+0aKKqGmpM+ibKjPgKYFPlM82PynDJIH27R8m2wVLl4j3l2dz3WngIUoAAFKEABClAgjQIM0NOAm2rUNBSRq8xQASMhgus9gbYMvEWg3f9T/H88+Rpt8Sd0bA6EsNEfRtQw0LN5A+qffRpRnw/O8grMPv0MOErL4FBN+EiuCzUjZM1FYC7uMVednPxtNHP+OwUoQAEKUIACFKAABSYikOpYkhl0ZtAn0h+z4rNGwoAejsMIxaH3v8TvIghPGAdkID6WMAyI/9qjcWzyh9EUiUKsLdrrRcOLz6Prw/ehaBqqTzgJZcccB0VVMd8h7jV3wLJX1lwxKfL55eYyJ+8xP6AW4YcoQAEKUIACFKAABSgwfgEG6OM3G/UTqUYddYN8Q8YK6MEY9OCgQDwUgx5JQEbOIywRXUdHNI5AQpfDzfPNKnI0deAxZ/5EAk3hGJrCUeyOxBARw933XnQD3h1b0b7mLfRs3QxD15FTPQt1p30R9qJiuFQTjs9zocI29LnmYiZ2rcQBc4kDijb8UPeMxWbBKEABClCAAhSgAAUoMM0FUh1LMoPODPo03yUOvPhiQjaZEfdFkeiNIuGLjjgUXTeAkK4jmEgglDAggu7OaBwdsTi88cQ+hdAUIFdTITLlnkH/rsdiiAcDiAUDiAeD8hXu7kLHuncR8fTI9bgqqlBy5NEoXnqYvNd8scuGI3Kc0EzJGdoViwqtwAYx+ZvqGhqwH7gGP0kBClCAAhSgAAUoQAEKjFeAAfp4xcbw/lSjjmGTfMsUCMiAPBCTwXi0NwK/N4JwLAGRARf3fMd0Q/4Uv4sgXATjwYSOkG7I4HzvRWS5wx3t8DU3wt/YgGB7mxyGrlqsUK1W+VMs4h7ymL8X0d5exMOhYWsu3lt40MEoPfwoOMor5HtEgH9cvgtlFrOc6E11WyDuLzflmKGM9Di1KXDlJilAAQpQgAIUoAAFKJCtAqmOJZlBZwZ9Ru5Lcd1AcySK9kAU3s4AAl0hxLxRBOMiA64PP8x8sIRhIB4OI+r1IOL1IObrRSwQQCzgT778fhmQJyKRgU+ZzGbAMKDH4/uYag4HLK4cmHPcsLhc0OwO+Sxz8Xez0wV37WwZ1Iul3GXF4gIX5hQ5obmtMjDn8PUZ2U1ZKQpQgAIUoAAFKECBaS7AAD0NDZhq1DQUkascg4DIdq/zBfH+7l407vbB6YvDGUlmvkW2O9LdLYPtRCQkg+9EOCQD7HgoLDPbiYj4WxjxUEhO1JaI7gm+9968YjLBVliEnKoauCqr4aquhr2wRA5JNxIJ+dlEJCo2DIvLDVg0xFQFcZOCuKogqiVfMU1BRFNgt2o4usSNjxW7UWLlsPUxNDffQgEKUIACFKAABShAgSkXSHUsyQw6M+hT3qknUgAxHP3tHj/WNXvQ3hGE2x+HOa4juLtNTroWbN+NYHs7wp3tw2a29w28VWh2GyzuXFjdubDk5Q/8v8h0a04nzCIDbrMDioKECYhqJhl8O2waPIqBgAky8JYBuAjKVQUm1YSFThsOzrFjjsMGq5h1XVFgFi+TgjwxqRyHrU+kK/CzFKAABShAAQpQgAIUmHQBBuhpIE81ahqKyFUOEjAMAzu8QbzT0IOdbT7YAnEoCR3+pgZ0b9wgnx/eP+Ga+JhqtsBeXAJ7SSls+QXQ7HaoNpt8adb+/7dDs1ohh6kPEyiHzQrCFhNCFhMUmwqL04JclwWzXTbMsVtR57DCqarQDUPO6N4cjqJRPDbNgHxe+WKnHTaVs6yzI1OAAhSgAAUoQAEKUGAmCaQ6lmQGnRn0abF/JHQdO7sC2Noihq/7EfZHZbnDnZ1oX/sOOt9fi5jfJ/8mAu+8uQtQsGARnBWVsObmy6HnIy1mBfK54iKbrakKDKcZmssMu8sCp9MCt8uKPIuGPLOKPE2TGW8uFKAABShAAQpQgAIUoAAFGKCnoQ+kGjUNRczKVUZjOta3eLC9tRcdHUHEY8nHmenRKLo2rkfHe2vga6iXfxOTrRUuXor8BYvhrq2Fomry7xZFgVszyeeS56jJ55PbVRPsJgV2VYXDrMLitsCUY4GaY4HJaYbCADwr+xsrTQEKUIACFKAABShAgfEKpDqWZAadGfTx9sG0vl+PJbBztw8fNnrQ3O5HTDxIvC8o92zdjK4N6+HZthnieeJiKHru7LkoOexw5M9fBEVLBuWFZhWzbFbMsluRb1aHlFfMhi5mRZfBuHg5NN77ndYW5copQAEKUIACFKAABSgwcwUYoKehbVONmoYizuhVRuIJbG/zoampF60dfnj7MuViJnTPls3o3iiC8i3JoByQ95MXLlmK4kOWwZKbJ/8mJlmb77Sh1m6BSx0alJusKtR8G7R8K0wuCzPkM7o3sXIUoAAFKEABClCAAhSYPIFUx5LTMoP+zjvv4OGHH8bLL7+MnTt3wul0YsmSJfjRj36Ek08+edytkWrUcRcgyz4QTujYEYpge1cArS29CLYHYerLlCeD8k3o3vBhMlPe90xxGZQvXoqCxUtgLy6VYuKe8dl2K+Y7rSi2mPcoKoDqskDNs0LLs8LkGPRvWWbN6lKAAhSgAAUoQAEKUIAC6RNIdSw5LQP0L3/5y1i1ahXOOOMMLFu2DH6/HytXrsT69etx991347LLLhtXC6QadVwbz4I3JwwD7/tCWO8PYpsvDH9nAIXeOFxhHfFAAL6mXfA17IKvcRcCLS0w9OS95o6SUhQsOggFiw+SWXOx2E0mVNnMqLJZUG21QOu7X1xRTVDzRFBug5ZrhWLmjOlZ0LVYRQpQgAIUoAAFKEABCkypQKpjyWkZoL/22ms44ogjYLVaBxojFArh0EMPRUdHB9rb26H13Y88ltZKNepYtpkN7+mKxrGqx4dXunsR742iqDcGZ2MHgrvqZTDua2hAqLN9gEIxqXBWVCBv7nwULF4Ke1Gx/De3qmK2w4Jqm2VIptxk06Dm92XJOXQ9G7oU60gBClCAAhSgAAUoQIGMEkh1LDktA/SRWuTqq6/GbbfdhoaGBlRXV4+54VKNOuYNz8A3imeUf+AP4aWuXnzQHUChL46c+jb0vvkWuj5Yh6ivd6DWqtWKnKoauGpmwV1dC2dlVfI55H3D1+vsVsxzWlHaN3xdURSYcszQ8m1y+LoI0LlQgAIUoAAFKEABClCAAhSYKoFUx5IzKkD/6le/iieeeAIej0felz7WJdWoY93uTHqfuK98tcePf3R4EOoJo8gbg7J+C9rfegM9WzcBhgHN4URu3WzkVM9CTs0s2EvKoJj2DEUXmfIyqxmVNrPMlmuKAkVVkveSi6BcDF3XOHR9JvUb1oUCFKAABShAAQpQgALTWSDVseSMCdA3btwoh7h/7nOfw5NPPjliG7e2tkK8Bi/is+eeey7WrFkj72nnMnaBnlgcz3d68VazB05vFLmdAXjWvofdb7+BUGeHXJGrqhplRx4rJ3jrfz65+LsIyEusGiosZpTZzAOzr8ugXM663heUq8rYC8R3UoACFKAABShAAQpQgAIUmCQBBujDQHu9Xhx77LEy8F63bh1qampGbI7ly5fj+uuvH/bfGaCPvRdHEzpeauzGf+q74PLFgNYO7H77P+h4/z0kIhH5TPKiJUtReuQxcFZUyRU7VRPEsPUSixmlFg12dWg2XDybXCu2Qyuwy8w5FwpQgAIUoAAFKEABClCAApkswAB9r9YRk8OdeuqpePvtt/H888/jhBNO2G/7MYN+4N3biOtI9EaxqdmLN3d1IxCNI9jagsZ/vQSPGMYOwOJ2o/SIY1By2OHQnC6IMLvSasZCpx3Vdov8ffCiWFSYi+wyMOc95QfeNvwkBShAAQpQgAIUoAAFKDD5AgzQB5lHo1Gcfvrp8nnof/nLX+Tw9gNZUo16IGXIxM8YCQMJfxR6bxQJbwTd3jDe9PjRFIkh1L4bTateQvfGD2XRc2pqUXb0scifvwiKqsKqKJjvtGGRyzYwdL2/jmKyN3lfeYkdqtsKpe9RaZlowDJRgAIUyASBSKQZfv/7KCz8dCYUh2WgAAUoQAEKUKBPINWx5LS9Bz0ej0M8D/2ZZ57BI488gq985SsH3ElSjXrABZnCDxq6ASMcRyIQg+6PIeGPQQ/FAAMQzzFf0xvERn8Iga5ONK16GV0fvi8nfsuprkHViSfDXTdHlj5PU7HEZcccu3XgGeX91TLZNWjFDpiLbFDM6hTWlpumAAUoML0EvN7X4fGswqxZP5peBWdpKUABClCAAjNcINWx5LQM0HVdx9e+9jU89thjuP/++3HRRRdNqNlTjTqhwqT5wzIQjySgh+PQQ3HoweRPQ7wMY9iti7/+afMOfPjyP9H5/nswdB3O8gpUf/wU5M6ZBygKCjQVR+Q6UWWzDFmHuJdc3FMuhrCLe8y5UIACFKDA+AW6up6H17sKs2ffMv4P8xMUoAAFKEABCqRNINWx5LQM0K+66ircfvvt8n7zCy+8cB/sU045BaWlpWNuhFSjjnnDaXyjGJ4ug/CgyIQnA3D5eyQhs+JjXcQj65599lmsXr0aiUQCjpJSVH38ZDmUXQTmNkXB4blOOZx94P5yBXLoulZog1Zgg7LXZHBj3TbfRwEKUIACSYH29sfh8byK+fPvJAkFKEABClCAAhkkkOpYcloG6CeeeCJWrVo1YrO88sorEO8Z65Jq1LFu90DeJ7PccQNiwjb5iolXAkZUhx4VP5MvPZwY9+pFMF5fvxNNTc1oamqSr46O5KPSykpLMfsTpyAxZyFgUiDmX1/osuGwHAesfc8yNznM0MSEb4U2mCwcwj7uBuAHKEABCowg0NKyAl7vq1i06Pc0ogAFKEABClAggwRSHUtOywA91e2RatSJlE9kvmWAHekLtsVw9MH/HxtfBnx/ZYmEw9iydQs2bNgI8Sz4vZ8P73a7UVVVhaOPPhpHHXUUQgbw5O5u+Zi0o3KdKLSYYXJboOVZ5aRvnIV9Ii3Pz1KAAhQYWaCx8XYZoC9Z8heIiTa5UIACFKAABSiQGQKpjiUZoANINer+uoqR0PvuAe/LdO8diMf1tPa03bt344MPPsD777+PbVu3IqEnt2ez2TB//nzMnz8PVVXVqKqsRI7bvU9ZvCpQKO4pz7VCzbVC0YY+yzythefKKUABCmSpQH399fD712LRokehqvYsVWC1KUABClCAApknkOpYkgF6GgJ0OdS8byK25M++3yNxOSR9MhcxbH3Hjh3Ytm2bDMzb29vl5kUGpq6uDosXL5av2tpaqOq+w9JNNhUmpwVqrgWq2wKTVZvM4nNbFKAABSgAYNu2q6HrIdTWLofFUkITClCAAhSgAAUyRIABehoa4kBRxYzoyZnQY9DF48nEjOjBGMQw9ala2tra5HD1rVu3ysC8p6dnoCgiS75kyRIcfPDBOOigg+ByuYYUU9w3rtg1qC4zTC4zVKcFipkZ8qlqS26XAhSgQL/A5s0Xw2abheLis+BwzCMMBShAAQpQgAIZInCgseRIxWcGfYwZdDE0XQbgMhCPIRHY/6PJJtpf/H4/Ghoa0N3djUAgAPG7eAUDAdjtdjn8XNwjnpvrhq4b2LRpkwzMRca8f8nNzcXs2bMxZ85s1NWJV53MkpusKhSbBpkdt2sQk7uJnxyuPtFW4+cpQAEKpEdg06YLkJOzDG73sfInFwpQgAIUoAAFMkOAAXoa2mFvVDEreqI/GO/PjIfjadhycpVerxcNDbtkQN6wqyEZmA/KfI91wyJgX7RokXwtWLAAhRXFUPuCbxmIiyDcpkExcYKhsZryfRSgAAWmWkDX49i69XLk5n4UNlsN8vJOmOoicfsUoAAFKEABCvQJMEBPQ1foR339yZdxcN0SOYv6gSzi/u5169aiubkFVqtVTrzW/zKZFMRiccTjcSQScYTDEbS0tMhgvLe3d8jm8vPz60gNbgAAIABJREFUUVNTI18lJcVwuXLkcHTxsjvsCMci8Pi86PF50OXpRiQRxcHLDsG8xQuS2XExVF28GIgfSDPyMxSgAAUySiAW68GuXTchL++jAEwoKjoto8rHwlCAAhSgAAWyWYABehpavx/13w89j0MXHjzmLei6jl27dmHdunVYu3btPo8pG8uKiouKksH4rGRAXj1rFnKL8mSAPRBsWwf9v9nEwHsssHwPBShAgRkiEA43oK3tIeTmHo9otBWlpefMkJqxGhSgAAUoQIHpL8AAPQ1tONYAPR6LoX7XLjkBm3ht374d4XBYlshiscgJ2A499FDMnTtXZspDoZD8d/EyDANmswZVE/d+a9AcFlTV1cBdlNcXiJvkDOmclC0NDcxVUoACFJjGAn7/evT0vCgDdJ9vDSorL53GtWHRKUABClCAAjNLgAF6GtqzH/Xh6+/DkjmLYDKZ5EsE2E1NTWhsbJQ/21pbB54bLopRUVGBeXPnYunBS7Fw4SKYzWZZOjHZmgjCFTEJmxhyLjLg4nfx07Lvo8zSUCWukgIUoAAFZoiA1/s6gsGNMkDv7Pwbamp+MENqxmpQgAIUoAAFpr8AA/Q0tGE/6qfmfRQFjrxhtyDuJa+qqpLPC583b57Mkot7wkUALmdBd/TNhu40y79xoQAFKEABCqRCoKvreSQSPhmgt7Tcjbq6G1KxWq6DAhSgAAUoQIEUCDBATwHi3qvoR73louswq6QKhqEjkdBlRryqqhJVVdUoLCxMzojeF4yrIhB3mDkkPQ3twVVSgAIUoMAegfb2x6FpuXC7j8POnddg3rxfk4cCFKAABShAgQwRYICehobY+x50RVEGZcT7MuMiGFf5eLI08HOVFKAABSiwH4GWlhVwOhfLZ6Bv2XIxFix4gF4UoAAFKEABCmSIAAP0NDREP+qb/1yNI449is8KT4MxV0kBClCAAgcm0Nh4O/LzT4HLdRA2bboQCxeuOLAV8VMUoAAFKEABCqRcgAF6ykmBVKOmoYhcJQUoQAEKZKlAff31KCv7Fmy2amzZchnmzv01TCZLlmqw2hSgAAUoQIHMEkh1LKkY4vlfWb6kGjXLOVl9ClCAAhRIocC2bVdj1qzrYDbnYfv2H6Cm5ocwmwtTuAWuigIUoAAFKECBAxVIdSzJAB3MoB9oZ+TnKEABClAg/QKbN1+MefPuhsmkob7+RpSWngO7vS79G+YWKEABClCAAhQYVYAB+qhE439DqlHHXwJ+ggIUoAAFKDC8wKZNF2DhwgflPzY1/QZ5eSfC5TqYXBSgAAUoQAEKZIBAqmNJZtCZQc+Abs0iUIACFKDAcAK6HsfWrZdjwYL75T+3tq6E3T4PeXnHE4wCFKAABShAgQwQYICehkZINWoaishVUoACFKBAFgrEYh7s2nUj5s79pax9e/sTUFUHCgs/k4UarDIFKEABClAg8wRSHUsyg84Meub1cpaIAhSgAAWkQDjcgLa2h1Bb+xP5e3f3i4jHu1FScjaFKEABClCAAhTIAAEG6GlohFSjpqGIXCUFKEABCmShgN+/Hj09L6K6+ruy9l7vGwgE1qOi4sIs1GCVKUABClCAApknkOpYkhl0ZtAzr5ezRBSgAAUo0BeQv45gcCPKyy+QvwcCH6K7+wVUV19FIQpQgAIUoAAFMkCAAXoaGiHVqGkoIldJAQpQgAJZKNDV9TwSCR9KSs6UtQ+HG9Ha+iDq6pZnoQarTAEKUIACFMg8gVTHksygM4Oeeb2cJaIABShAASnQ3v44VNWNwsJPyd/jcS/q63+GuXN/RSEKUIACFKAABTJAgAF6Ghoh1ahpKCJXSQEKUIACWSggsuUOxyLk2o8APB4YxYXYsuWygceuZSEJq0wBClCAAhTIKIFUx5LMoDODnlEdnIWhAAUoQIE9Ao2NtyM//xS41vuBV14BfvQjbNp0ARYufJBMFKAABShAAQpkgAAD9DQ0QqpR01BErpICFKAABbJQoL7+epSVnQ/bc2uAl18G7rgDmzdfjPnz74GiqFkowipTgAIUoAAFMksg1bEkM+jMoGdWD2dpKEABClBgQGDbtu9h1qxrYX7gUeCll4AnnsC27d+Tz0XXtFxKUYACFKAABSgwxQIM0NPQAKlGTUMRuUoKUIACFMhCAZEtnzfvbph+ej2wcydw++3Y6b9LPnbNZqvOQhFWmQIUoAAFKJBZAqmOJZlBZwY9s3o4S0MBClCAAgMCA/ebX3wxsGABcNJJaCx8GQUFp8LpXEIpClCAAhSgAAWmWIABehoaINWoaSgiV0kBClCAAlkmoOtxbN16ORbMuRu4/HLgk58EHA60HNoCp/Mg5OYek2UirC4FKEABClAg8wRSHUsyg84Meub1cpaIAhSgAAUQi3mwa9eNmOu4CrjnHuDTnwY2bED76TnQtAIUFJxCJQpQgAIUoAAFpliAAXoaGiDVqGkoIldJAQpQgAJZJhAON6Ct7SHUdn0WeOMN4HOfAx56CF3fPhKJRBAlJV/OMhFWlwIUoAAFKJB5AqmOJZlBZwY983o5S0QBClCAAvD716On50VUr5sHxGLAZz8LXHklPD8/F6HQVpSXn08lClCAAhSgAAWmWIABehoaINWoaSgiV0kBClCAAlkm4PW+jmBwI8r/TweWLgWOOQa4+GL4b70UHv9qVFVdmWUirC4FKEABClAg8wRSHUsyg84Meub1cpaIAhSgAAXQ1fU8EgkfSu7dCHz960BtLXDddQh94zPYrb2E2tprqUQBClCAAhSgwBQLMEBPQwOkGjUNReQqKUABClAgywTa2/8MVc1B4XVPA7fdBthswL33In7wHOwqfRFz5tyaZSKsLgUoQAEKUCDzBFIdSzKDzgx65vVylogCFKAABdDa+iActgXI/f5DwIoVSZGnn4Yei2Db0pcxf/49VKIABShAAQpQYIoFGKCnoQFSjZqGInKVFKAABSiQZQKNjbcjP344XPc9C/z858nar1kjZ3TfdNK7WLjwwSwTYXUpQAEKUIACmSeQ6liSGXRm0DOvl7NEFKAABSiA+vqfobzjaFhf2wj8938nRVpbgTvuwKavt2PBggegKAqlKEABClCAAhSYQgEG6GnATzVqGorIVVKAAhSgQJYJbNv2PdRuPhZaIAGcdVay9okEcMkl2PpDJ+rqboKmubJMhdWlAAUoQAEKZJZAqmNJZtCZQc+sHs7SUIACFKCAFNi8+WLMe/0YmObMBT72sT0ql1+O+itzUV53JazWcmpRgAIUoAAFKDCFAgzQ04CfatQ0FJGrpAAFKECBLBPYtOkCLPzrXODLXwbmzdtT+xtvRPOJPuQv+xYcjgVZpsLqUoACFKAABTJLINWxJDPozKBnVg9naShAAQpQALoex9atl2PBXTbg5psB16Ch7L/9LTryN8B60tlwu4+kFgUoQAEKzGCBpqZfo6joS7DZqmdwLad31Rigp6H9Uo2ahiJylRSgAAUokEUCsZgHu+pvwNyfe4AH95qt/YUX4Kn/PxhnfRH5+Z/IIhVWlQIUoEB2Ceh6BBs2fFUG6GVl52ZX5adRbVMdSzKDzgz6NOr+LCoFKECB7BAIhxvRvuUu1DwUBW67bWil16+H/6+3I3TpaSgu/kJ2gLCWFKAABbJQwOd7F11dzyAa3Y158+7ikzsytA8wQE9Dw6QaNQ1F5CopQAEKUCCLBPz+9fC99TDK1xQC3//+0Jp3dyP8k8vgufZzKCs7L4tUWFUKUIAC2SXQ2vog7PZ56O5+AeXlF8Fur80ugGlS21THksygM4M+Tbo+i0kBClAgewS83tcR/8dfUBg5FDh3r2GNhoHY17+A9ltOQWXVt7MHhTWlAAUokGUCW7degbq6GyG+E2KxLg5zz9D2Z4CehoZJNWoaishVUoACFKBAFgmIbIn6p78jd8HngZNO2qfmscu/gdbL61Bz0PIsUmFVKUABCmSPQCzWjfr6n2HevP9FPO7Fjh0/4jD3DG3+VMeSzKAzg56hXZ3FogAFKJC9Au3tf4bznhfgPPMqYPHifSDiN1+H1iN2o/qT92cvEmtOAQpQYAYL9PS8hEikCWVl35C13LHjGg5zz9D2ZoCehoZJNWoaishVUoACFKBAFgmI+w4Lbn4J1p/dBeTn71Nz/Q8r0aL/DVXfeCqLVFhVClCAAtkj0NDwSxQUfBIu18Gy0l1dzyIe70Fp6TnZgzBNaprqWJIZdGbQp0nXZzEpQAEKZI9AY+P/ouyaV2H+3ZOAouxTcePll9H69vWo+OGq7EFhTSlAAQpkiYBhGNi8+ULMn38vTCazrLV4/ObOnddg3rw7OZt7hvUDBuhpaJBUo6ahiFwlBShAAQpkkcCuDdei8o4maPc8NHytt2xB+31fQ/Ev3+aJWhb1C1aVAhTIDoFQaDt2734YtbU/HVLhHTt+jIqKS2CzzcoOiGlSy1THksygM4M+Tbo+i0kBClAgewR2vXQBqv5TCfXanw1fab8fPZd9BO6H3oKq2rIHhjWlAAUokAUC7e1PwGSyoKjo9CG15TD3zGx8BuhpaJdUo6ahiKlfZSgE1NcDixalft1cIwUySCCRCKOz80kUFp4OTcvJoJJlXlGMeAyJ7lZoJTWZV7gsK1HDo59HVeg0mC64cMSa9551CGx/+Acs1tIs02F1KZB9AoauI/zhK7Av3fepDtmnMfNrLCaEq6i4FDZb9ZDKxmI92LnzOsyff+fMR5hGNUx1LDktM+iJRAK/+MUvsGLFCjQ2NqK6uhoXXnghvv/970NV1XE3Z6pRx12AyfyAYQCvvAI89hgg/v+CC4Cjj57MEnBbFJg0AXEPV0PDLVAUM0KhbaiouBg5OYdP2van04aCrz2G6H23AP4AbD//A2zzj5lOxZ9RZQ2HG9B97/moWPh94FOfGrFu3ks/BvOPfwlHzVEzqv6sDAUosK+A994rgL/+FaYrv4+cz36HRDNYQCQWtm27EvPn3zfsLUzicWsVFZfBZuPF9EzpBqmOJadlgH755Zfjnnvuwfnnn4+PfOQjeP3117Fy5UqIv991113jbqtUo467AJP1gS1bgPvvB8rLgW9+M7nVa64Brr4amDdvskoxru3E4z54PP+Ss1iaTNZxfZZvpsDu3Y8gFutEZeWViEbb0NR0u7xvq6zsgmkxLDgSaUE4XA+3+9i03Wcc2f42gnf9DxCNwP7tW6CH/Ij+v6vh/N+nYS6by040yQKRSDPq629A3TNFsJxyJnDIISOWwPOzs2BaeBDcZ/1kkks5/TaXSARloU0me9r2pemnwhILAV2PyuOswzE/Y0F8T/0C8eeehPOnv0Pwe2fActXNcBwxdOhzxhaeBRu3QG/vO+jtfR1VVVcO+9murr/L56KXln4NIhGh6xHoehCq6pLD4rlMvkCqY8lpF6B/8MEHOOSQQ3DFFVfg17/+9UALfOc738Edd9yBdevWYenSpeNqmWFRd+0SDxwEPvpRQNPGtb6Me3N3N/D73wMNDcBFFw0d1r5zJ/DznwM33ACUlIxadF2Po7v7eRQUnJL2gDkY3Iampl/Bbp+PSKQBNTU/gsUyehlHqkR44yrE23bCecLXoZhMo9Z1Im8QX/jt7Y8jFNqC8vILU36VMxjcivb2x5Cbexzy8k7c7wmnOHjHYh0ygxzZ/ha0v74I68lfgfOE8yZSxYz/rMezGl1dT6Ou7qaBGVANQ0dHx1/g2/IMypxnwnnY58ZVDzFpiwj4c3KOGtFcXPn2+9ciJ+ewEfeRRCKEzs6nYLGUjdh+vb1vorX1t/I9mpaLysr/Suk+F+9phf+BHwLr3oV24dVwnvCNgf3C/9KDiP3+TrjvfBFqTtG4jEZ6czTajo6OJ+XFhpycQye0zni8F37/+3C7jxrXyUgs1oWenlfkZ8SJjHzFLbCqZdByyyZUplR8OBrdjZ07f4qqqivgvPFh4Lvf3e9xObZ7O/zXnA3T4UfDfckdaT+upaKOk70Ocfzr6vo/dHb+DapqR3+grqoOWCwVKCn5Kuz22mGLFalfi9Dvb4B68DFwnX71tPEVdRbPT+7u/ru8tWe074jBlff716Oz8y8oKDh1v8e5yW7HdG0vEmlFY+OtMIwEbLZaOfmWqjr32Zy4cNbR8QRcrmXIzT3+gC/yiHMDMfGXaJ/S0vOkszLMUxoGFyD4n8cRvftGuH7zPLT8CkR2vIPQj86D/eePwFq3LF00B7zecLhJ7nP5+R+Hw7HggNejR8PwPXwt9A1rYb/0ZtjmTt+RQmKf9HhekW2fk3OkfK65OAaNtLS0PACHYyHy8j467FvEMPdt274jRweKxWSyyfWJpJYYFj/R79gDbrRp8EFxYaOt7fdyPy8pOXvY/f1AqpH1Afo111yDm2++GTt27EBdXd2A4c6dOzF79mz8+Mc/xk033TQu2yGos2cDjzwCbNoELFwIfPAB8IUvACefPP0C9VgM+NvfgH/8AzjzzGQdhvsiWLMG+N3vgFtuAZz7fjENxhRX6drb/wyv91UUFX0e+fmnwmRK/QWM7u4X5UlCdfX3YLfPgc+3Bi0t96Gi4vJxH3jCG/6F0MqbgO4eKEVFQEc7zN+8Co7jv5aWE65AYAOam++WwYPTuQTiecYikC4uPmsgUBxXBx30ZhHY7d79BwQCH6K09Fx4vf+GOHEoL78ATufigXeKkwCf7x14PK8iFNoKs56Hgn/2wL6uC8YZn0f4778FnC64vvsbmMszN2twoE6h0A40NNyK2bNvgdk86BnSzc3y9o741rXwYRtgscB24XWj3tOXvCDyR4jA0GIphjipE/5iuHz/yZUw7+5+DuLKtrioJNyT+4gY/ZHcR/q/pNvb/4T8/JMghjKLoFF8ofYHCeIigvgSDwTWo6bmh9C0Anli6PW+hpqa/4HVOrFAUpz0+P98M/S//RnKaV9Eztk/gcmy7yRjvX9ajsRrLyH3Vy8O++9jbRtxzBDl93j+jaKiL8g+q2luOYrBYhlf8C+Mu7qeQXf3C3A4FiEY3IiCgs+goOBT+x0RkZyH4K99o3HECbEK3dsB8wtvwPzv9YgnvDCOORquc66DuXTOWKuW0vdFo52or/8JyovOR852AHfeCaxcKc689rsdPeyH95bzgFAA7p8+DtWZl9JyTeeViWNjU9NvYLVWyP6maa6B/VDXQwgGN6Gt7SEZRIj9WVwIE0vC1wHfih8Cb78F9SvfQnzNq0BTE6yXL4fj8PFd1JtsP3Hsa2m5V17YE8cf8X2dSPhRWXm5dBhpicf90kJkksVJqziWiaBV3BZktVZOdjUmZXvimCSOtWKosMt1iAwqxfFbXAx1uZKJHhHwiGO/378OxcVfhrhwmkh4UV5+Eez22eMqZyCwCc3NdyI39yMoKPg0WlsfkBeMxAU5s7lw2HWFN61G+KcXwX7rY7DOSj4LWyzBN59E9DfL4brzBRm0Z8IijrMdHY9Jo8LC0+RFCJFUKS39+ri/t4Jv/QXRO5YDhxwG87KPIbbidijHfww537oVJltyP54uSzi8S+6T4ru8rOx8+R0oEl3l5d+C2z38LaZbtvwXZs/++X7nzRHnE3tf3Eke837dN1LwW/KiJJekQPL862WZ3Coq+pIccSDaQezX+fknQ1EmlrjL+gD91FNPlVnytra2ffpcaWkpDjvsMDz//PPj6o8DqLfcgmUia/6lLwGnnAKI+9m7uoAnnwTefTcZqC9blgxi7fbhT5zEfd2JRPKzo1wV7esxQCQChMPimyC53pHWPdZaiTK8/Tbw0EPAEUcAZ589auANYbZ6NbB8+ZguRIhnMXZ0/FkGziVFZyA39wSYtP0PqzEScYiTSSMahBEJQA8HAMUENacAJleRDAJ0PYbW1vshsm0iONdUV/JeeZMJkUibvJ84L+9jcuca7qqzmETFCPugh3oRa1yPyMO/guHxwHLed+D46DkyIA9vWIXQiuuBQBDWC34I+xGfH3OgbsSjMGJh+YJqgcnuHvis+KJta/udDMwqK7898OWdzKb/Cb29b6Gy8jIZtI+49PcfXQfM5iF9KJlRXSlHLxQWfj4Z9BkGgt4N2F3/ALS4E7nOo+FLfAifvgU5hUcgN/djcG4IQln5EHD88ckLNRYLhJP/uTuQ+N29MIkg7avLoezVftJStJV4yTpHoFidMDkLJhSw9dddrr/fMxqUfcHkyJvwukXf3LHjf1BddTUc1rrkfrV7N/DEE8mJEc86CzjuOBjiJOc/f0Z05S+AgkLYL1wO2/xjIQJYI9wLPeRDNNiKTt+ziJvDKKk8B66cZbLfhUI75YmdOPEtLfkaIpEmdHY9Dbf7GBQXnyEDUHGFu6Pj8b4Tu7NgtZSjtel+WE3FKM0/G2bkyH3Nr29Ha+dKOF2HoLDwc2hpuRtWa5UMKPrbWBxLfL61aGm5R54Yut1H7NOFhCf0+ED/FPub7J8WR7KPGgYCq/6A2Ipfwli6FDkX3wotf/8n3p7fXASjsx15y/8q1zG4TyhWFxSzbcR9R3wZej2rsbv598hzHovivM/BZGgwNA3e6DvY3fWYvHVloC+LL9C+PiG2Nbg/ynV5X8Xu3X+UxiUlZ8qr3vGYB50tT8DX8W/k246X/6a6i2FyFULRzIO+kB9HXt4J8rihdvuAp55KHiM/+Ung05+Grhrw//WX0P/2OIxDD4HzvJ/AUpmcQLP/uIVENGnZ7znW4/F+3tfvGQ92oO2l76NkaxVs232AGAV20knJn2NYxHp8j1yLxD+fheNnvx9yIi/KD0PfZ/8eabUD/T/ohREJw6RYYVIsMEFNHovFd5vFkjyOiJdZhaKaR80CSsu99nk90APd3wPd1y1/IhaBKbcIptwSqPllUPPKYbLu/6Lx4HoMXn93zwvo9r+MispLkJMzcpZRBKHdXc+js+2vKHCfDOvbO6E/9nsop34GOefeAJM1meUKrXsB4buuA4qK4LjoRpgrF4/pWGXEopD1DHhgREMwOXJhyimCye4a2znCGPqPOD7rUT86e56BP74J5VUi4Dxo4JO9vW/LC8Uio1lUdMaQi+rJfes1eeFXHH8KCz87cKLa630Lbc2/RY7jMBSLfcdROPbvSnE8MhIwEgnZ90YatTawD3Q3Q+9pRqKrBbqnHUY4CLWoHKbiWmgltdCKZkFRteT+GEoen42IX+6PJmf+kO/i0XYZ8Z3c2rpCXtwW5xkDF3ENA2H/TjTX3w6ndSHMlkJ0Bv6JwtLT5YXA/gutYvSO8HTY56G0+GvQLPn7bcv+rLnftxZV5d+G3TIruS9ZLPD0Ju1LS8+R39eDz2tibVsR+O/Pw/qj22E/5NR9quX7268Qf/4J5P7vSwP9VHqK72phPsqcTPK9EX/feVlInpMpZivUnEL5PT9im+0VGIo+JM5PxAUeMVqjuPhLcpSSWL+3cxU6Wh6Fy7YUhQWfhuos3m9bxdp3wn/nd4C2Ntivug22hcfLeotzx94Hvge8sRqWK34KxzFnJo/Pg85TUn18HnzMEn1PvEZaBo49keQ5ruifeiQIr281fIkNKJtzKVx5e+a/EeezLS13waQ4UFF6ATRr0YC3uFjb0HAz5s69bc/m+s8NxflMNJp8iX3Mak3GDIPOF8VFfjFiSFzIHk82vf8cQpRbHFPE9/vgc9zR9qsx/bthJM/7EnEoFvuox5P+PpoQ3xOBHnmOI77fxfe8OB8dKQ7Yu++KpEpz813y3EycQ8l9XowuDbajvfn3CPt3oLTwK7C558nz0P2d24xUz6wP0MXwdYvFgjUi67vXsmzZMsRiMYhh8CMtra2tEK/By9q1a3HBBRfg4UsuwaLzzkt29r0Xjyc5uVpTUzKYFi+xc+y9iBNh8RJBev8idqy9g/X+v4m/953syM+JYF3seP2f31+QL9YhFnEQHrw98Tdxn7m4oDCGYesD5XzuOeCtt0Y/aejfrsg0GFFEYs1IxHvFL+Jwua9Jfx1E/TQVMIuTdBXQzHIHUSLRpGdCfKHrMFtLYLVU7dnxBnnqho5weAcShr9ve8O0tMWcPHl0OWD+xBdhO/RTwx4EQhv/jdgzv4PS3jl0JaJssiyD6rJXHQzVBEU3ADFKQfwUiyi7rRxWc/mwB414IohweCcMPTp0e+LjyqDuoiav4imiDPJ/kqwm1QabbTbU/nvx+8tnNsOwWhE1eRCLd8Oi58Ect0OJJ5J1EH3gy18eti8k/N0IPv4LYP2HyX60d5+V7aTCEG2lmaDE4kA4kvSRdR6mb++zTyjJ9w/Xl0VdxS0kYhu6DiUaG7ruvdc1poteOqy2WcnsrKiTeDkcydtVDj10n3LImXHfeRrxZ/8sJ0iTZZF9yAxFs8KmlEGTnvF9Ols84UMk2gKTYpPZKZMYbibKKLYpT1ANJPQIIpFGeY+YzVEHzZaf/DIV9Rb7bTgMIxJBJNaGWKQNVlu1zNIP9L9BdRbrCoa2AnpsmI4vjgUmuW3RP0U5FNE/Y33HIvHFWFoE69nfgbVm7IGff8UPgC3bkvUy9dVNrF/0BdHH+hfxt4F9IblPqJoLVudsqBZnXztryX0mEoEeEy7NiMfE/jdoBxB9TiyD9kFDdsNcWC2VUJVBc1H0HT91swlhtCEe7Zb9UxnoowZULVeaqoolWQdxfD/uOODII5PtMGgRZQq++iiMV55P9nNZZ1PymGVSkvuUqPfgY8PwLdG37wov8X2w1/FksJlYv6rCPPco2I7+THI+kAO8rSq09h+IP3LP0BKJ9Qve/n12pPIO+j4xrMn+L8phKDp0iHbu3+chHZSYDiUuXmLdff1g8HFS/G2kfV70UdHO4uTSagMcdijip7ioEgwAAT+UYBAIhJIX2PrX03+BQBwQRV8baIe+g6Som1ivqkJT3bCaxD456Lg20vFDUaCbDERiLYhXumE/4zvQCva9eCWOFcHXHkfilf+DEhRlG1Tvvb/3B7Wx9BR1Fe0qvt9DYSjRvY4nomxPauQpAAAgAElEQVT99RnufGG4dpP7e7L/QNWgqYWwKcV7vjsG921DlxcS47Guoe0iT1mcsFlrofYNl5XefWURx5JwXOxbHcl9V/590P66v/7f9102pO/t/VFxTBEX/5x2ICcHiisHyMkDxAVjXw8MTw/g9UIJBJN9WKxTfOeJ/mkWx5N48ntj8Hfx/sokjoMmAxatFFZLRfK7ut+779idrHMzjEQMNlM5TIMOc3u+Ig1E4+2IxncD8cHngn3fiUPOH0SRi+XxSxF9oD+BI/p2IgHdiCEU3gk9LpIWQ4G0M78B+1FfGLFGvidvBV5bPfT7WxiJ7Q8+HvefJw5ef9/x3BCO4iUCUBE4haNJz4FjRl+Z+ou2dxcQfUhxwGadNXQk04CniojehmisY09bDXc8Eu/XVCinnAbniecNe94W2fU+Io/eBqXbmzQZ/J3Uf3we7Zi8v38X/7b3eY30HOY4N9z7xDGz79gp+qnZlAcbSvu+k/rOyfq2L28/THTL487AMVR+dYrz4HLYLOV7vkfEtuS50qCXaFMRM4iX6Et7HT/ieih5zpmIDK1x/3fSiMeU5DnEkHPcvc+H9/cdOFK8M/h7T7yn//i5v+Oe/I4X57iW5DFU/B4OQwmJpGa/514HlUFfB8lNyhNo2Kw1Q0dU9p+raRriCCEUawBE8k16DrPT79n5h7aL+E1RsMUXxcVvt2H16tU4TpxjTHCZdvegz5kzByJTLiaG23sRE8a1t7dj27ZtI7IsX74c119//QTZ+HEKUIACFKAABShAAQpQgAIUoEBS4OGHH8Y555wzYY5pF6CnI4Pe09ODjRs3yuHx9uGy5/thjsfjOProo/Hmm29CO8Csx0Racaq3L8rOMiRbcKodpnr7mWDAMmRGX2Q7sB0Gf6/x2DT13w/cJ/f0yKnuj1O9ffYF9oVMOz5PJA5K1Wcnul+GQiHU19dD3IpdJOa7muAy7QL0dNyDPhFDMaReDLmPRqMw7zVcciLrHetnp3r7opwsQ7K1ptphqrefCQYsQ2b0RbYD22HwdxiPTVP//cB9ck+PnOr+ONXbZ19gX8i04/NYY550vi8T9svB9Zt2AbqYpf2WW25J6SzuE2nwRCKBG264Addddx3UUSbkmMh2RvrsVG9flItlSLbOVDtM9fYzwYBlyIy+yHZgOwz+zuKxaeq/H7hP7umRU90fp3r77AvsC5l2fE5HfDTedWbCfjmtA3Qxg7sYij7Sc9DFhG8HH7znURTjbSC+nwIUoAAFKEABClCAAhSgAAUoMBUC0y6DLpAuvfRS3HfffTj//PPlTHmvvfYaVq5ciUsuuQT33nvvVDhymxSgAAUoQAEKUIACFKAABShAgQkJTMsAXdzIf+utt2LFihVoampCVVUVLrzwQvzgBz+YkonaJtQC/DAFKEABClCAAhSgAAUoQAEKUEA8uc0QD+LjQgEKUIACFKAABShAAQpQgAIUoMCUCjBAn1J+bpwCFKAABShAAQpQgAIUoAAFKJAUYIDOnkABClCAAhSgAAUoQAEKUIACFMgAAQboGdAILAIFKEABClCAAhSgAAUoQAEKUIABOvsABShAAQpQgAIUoAAFKEABClAgAwQYoGdAI7AIFKAABShAAQpQgAIUoAAFKEABBujsAxSgAAUoQAEKUIACFKAABShAgQwQYICeAY3AIlCAAhSgAAUoQAEKUIACFKAABRigsw9QgAIUoAAFKEABClCAAhSgAAUyQIABegY0AotAAQpQgAIUoAAFKEABClCAAhRggM4+QAEKUIACFKAABShAAQpQgAIUyAABBugZ0AgsAgUoQAEKUIACFKAABShAAQpQgAE6+wAFKEABClCAAhSgAAUoQAEKUCADBBigZ0AjsAgUoAAFKEABClCAAhSgAAUoQAEG6OwDFKAABShAAQpQgAIUoAAFKECBDBBggJ4BjcAiUIACFKAABShAAQpQgAIUoAAFGKCzD1CAAhSgAAUoQAEKUIACFKAABTJAgAF6BjQCi0ABClCAAhSgAAUoQAEKUIACFGCAzj5AAQpQgAIUoAAFKEABClCAAhTIAAEG6BnQCCwCBShAAQpQgAIUoAAFKEABClCAATr7AAUoQAEKUIACFKAABShAAQpQIAMEGKBnQCOwCBSgAAUoQAEKUIACFKAABShAAQbo7AMUoAAFKEABClCAAhSgAAUoQIEMEGCAngGNwCJQgAIUoAAFKEABClCAAhSgAAUYoLMPUIACFKAABShAAQpQgAIUoAAFMkCAAXoGNAKLQAEKUIACFKAABShAAQpQgAIUYIDOPkABClCAAhSgAAUoQAEKUIACFMgAAQboGdAILAIFKEABClCAAhSgAAUoQAEKUIABOvsABShAAQpQgAIUoAAFKEABClAgAwQYoAPo7OzECy+8gNraWtjt9gxoFhaBAhSgAAUoQAEKUIACFKAABTJdIBQKob6+HqeeeiqKioomXFwG6AAeeeQRnHvuuRPG5AooQAEKUIACFKAABShAAQpQIPsEHn74YZxzzjkTrjgDdACvvfYajj/+eAjURYsWDUXVdeDmm4FrrwVefhl4+mng9tuBG24AfvKToe/92c/2/duEm2iKVxAIANdcA7hcwI03TnFhuHkKUIACFKAABShAAQpQgAKZI7Bx40aZ7F29ejWOO+64CReMATqAd999F4cffjjWrFmDZcuW7RugX3opcP/9wF//Cvz2t8kg/aKLgBUrhr73wgv3/duEm2iKV+DzAV/7GpCXB/zhD1NcGG6eAhSgAAUoQAEKUIACFKBA5gjsN5Y8gGIyQE9DgB7vaoBitkF1lxxAk2TYRxigZ1iDsDgUoAAFKEABClCAAhSgQKYIMEBPQ0vsF9UwgEsuGVcG3XPflTAVV8H9pR+kobSTvMr+AD03F3j44UneODdHAQpQgAIUoAAFKEABClAgcwUYoKehbRig7weVAXoaehxXSQEKUIACFKAABShAAQrMBAEG6GloxVED9IsvBh54YMz3oHvuuwKm4uqZkUH3+4GvfpX3oKeh33GVFKAABShAAQpQgAIUoMD0FmCAnob2S3WA7r33CphKq5HzxRkwxJ0Behp6HFdJAQpQgAIUoAAFKEABCswEAQboaWjFCQXob7wBuN3A4sVA3yzuMkAvq0HOF76fhtIOv8pQQsdLXb0I6zqWuZ2Y7bCmZtsM0FPjyLVQgAIUoAAFKEABClCAAjNOgAF6Gpp03AH6M88MBON49FGgtBQ46aRBAfq3YSqbNWkBesIwcM3WZjT6g9Djcdjsdny/rgyLXfaJa/UH6JwkbuKWXAMFKEABClCAAhSgAAUoMKMEGKCnoTlHDdD7n3n+1FPAgw8CowXo9/wXTOW1kxag/8fjx90N7Xj1e99Gw4vP4StvfoijSgrw3dqyiWsxQJ+4IddAgUkSMAwDT3d48HKXD92x+MBWL60uxnH5OZNUCm6GAhSgAAUoQAEKZI8AA/Q0tPWoqH1D15GhAfr5H+xE3DDw8CFzpM7nnngWefMW4A8Hz564ViAAfOUrnCRu4pJcAwXSLvBshwd/bO2Gr6Ee9qISBNpakDOrDiZVxY9nl2NRKkbVpL0W3AAFKEABClCAAhSYPgKjxpLjrIpiiJRLli+jou4vQP/jH4GSkqFD3Cc5g37e+zsQ7unGEyceKVvyhF/fh+oTT8Y9i2fBpakTa10G6BPz46cpMIkC125twpa2dvz5Y4cP2eq567bL31Ny0W4S68NNUYACFKAABShAgUwXGDWWHGcFGKADGBV1vAH63ZfDVFE3aUPcRYDe/t47+Mc3z5bNf9CFl+HQK76H00vycGZZwTi7xF5vZ4A+MT9+mgKTJBDTDXxr/U60vf0G/nnhOUO2+uV/vQ1bfgGuqi3DYW7HJJWIm6EABShAAQpQgAIzX2DUWHKcBAzQUxGgFxcDJ5+8Z5I4EaBXzkHO568eZ3Mc2NtFgN706iv41xUXDqygP2N2VlkBTivJO7AVi0/1B+icJO7ADflJCkyCQH0oguu2NuOtm5djy2N/GLJFk9mCr7zxAWbnOHDDvKpJKA03QQEKUIACFKAABbJDgAF6Gtp5VNT+DPrf/gasWDF0krg//QkoKpqyAD2c0HHRh/XY+fe/4bUfXzWg85Ebf4HZp30JJxbk4IKq4gNXY4B+4Hb8JAUmUeAtjx93NLTjlSsvRvOql/bZ8qf/+BQKFy/Fl8vy8fmS/EksGTdFAQpQgAIUoAAFZq7AqLHkOKvODPp4MugZGKC/2xvA7fW70fzoo4j96Snk2nLgiwSwU/HhhKf+PvGTcQ5xH+cuxbdTYGoE7mtsx+oeP174xpnoWPuuLITZpMGkmBBJRHHir+9H1Yknwawo+O3SuqkpJLdKAQpQgAIUoAAFZpgAA/Q0NOioqKNl0AsLgVNOGTrEvWouck7fk9FOQ7ERSCRw6Ye74OwOQP/VfQg0NgxsJmdWLSw//Da+OrsUx5blHvjmGaAfuB0/SYFJFHikpQvPd3iw4fwLsEDPQW7tHNR+5nR4d2zDuqcexbstG3D4yt+heP5CrGSAPoktw01RgAIUoAAFKDCTBUaNJcdZeWbQU5FBn6IA/Q2PH3c1tCNx7a1QGlqGNP2Cr5yHvPkL8bXyAjgcZlhn50HNsYyzewy6Bz0vD/jD0Ptax78yfoICFEiXwO+bO7F5UwfabroVeiyGw777Q7mpSHcn1t1zB+KxCJx33IKisnz8vwXV6SoG1zsJAoqiyK2k+yEsy5cvx/XXX4+VK1fim9/85kDNTjzxRKxatQo7d+5EbW3tJNSYm6AABShAAQpkrgAD9DS0zaio48yge+66DGr1vLRn0P/Q0ol/tXoQvmBPpr7m5FPR/t4aHHTR5VAtVnyrskiKKSYF9oOLYLJq4xPkPejj8+K7KTBFAte+X4+SbT6s/fUvAJMJh14xdJJKI5GAoqoIz3HjB4fMmqJScrOpEGCAngpFroMCFKAABSiQGoFRY8lxboYZ9DRk0D13Xga1Jn0Bem88gaZwFGJIq7criJ7LvjfQ7EdfdyPQl10Rf+wP0MX/a0V22OaMc0Z3Bujj3KX4dgpMvkDCMPDjVZtR0RHGWzf9BNa8fBx65fcwx26FXTVhvT8kC1VttSDfrOL4wyuhFdonv6DcYkoEpjpAb2hoQDAYxJw5c2A2m1NSJ66EAhSgAAUoMF0FGKCnoeVGRR1vBj2NAfp/PH7c29gO3UhCVHdGseuqH+wJ0H9y0xChwQG6YjbBuax0fILBIHD22QCHuI/Pje+eMoEtgTDE5ImFZg0fL3BDMyWHA8/EpSsax5teP173+KHt7EV81X/kEx3EcvRPbkK+puKLpfvO2K6oChyHFEMxqzORZcbXaaoD9BkPzApSgAIUoAAFxiEwaiw5jnWJtzKDPtEM+mOPAQUFQyaJ89x5KdSa+Skf4i6yZN/esAst27fjnV/cgI/86AYc73fhrZt/OqYAXbxJBOgiUB/zwgB9zFRT+caN/hD+3NYjJw78RKEbnyx0o/8kfirLNdnbftsbwG927R6y2YVOG/LMGs4qy0exZeZk+3ZHYli+rRn+hC7re1BDCDsfuA++XfUDAbpTNeHssoJhm8FSlQNLpWuym4jbS4HAcAF6fX096urqcMIJJ+C5556T947/8f+zdx3gUVRd9CRbsyXZ9AIJJJTQa0BEiggKIk1FbEizY0MBC6AiYgX0V1DsFRApKqIICCqg0iEhIb333pPNpv7ffctsdpPZBgnZjXu/j48kOzvz3n1vZt55995zvvsOubm5CAwMxIMPPohnn32W97lA9eQvv/wyzpw5A4lEgnHjxuGNN97A9u3brapBP3bsGL7//nscPXoUGRkZqKmpQbdu3TBr1iw8//zzUNFGr5799ddfmDBhAubPn4933nkHK1euxE8//YTi4mL06tULzzzzDBYtWtQGHnOcwuEBhwccHnB4wOGB9vOAA6C3g2/NOtVUBJ0PoG98BIJuoVDOeLpNWkv6xuEV1ahqaMS58mqceOUFJP6wA+PHzMAtC5ch/P11kPsHoNfsuyFxN1yM60fQqTEu/TytI4tzAPQ2GcP2PElxXT2ejk1HXW0tGjQaiBVKLA7ywbWq/xb4otKPx6LTUFNUiKPLHkefexcgaNIUlKUkQebrBy9XV7zbJwiiThJR35JdhAOFZTi++gWUxcdh5eqvEPv156jISIOTszNGrnoVLs7OuNufH6AL5CK4DNByVDjMvjxgCqBfe+21EAgEuHjxIkaOHMk6RgCcwDIB4LVr1xp0ds+ePbj99tvR0NCA0aNHIygoCKdOnUJhYSGmT5+OrVu3WkwSN2rUKISHh2PAgAEMmGs0GtD7NScnB/3798eJEyegUDQ/lziAPnPmTMTExKCsrIy1ubKykoF8atOnn36KB+gd7DCHB9rAA9GVanyZVYiy+gbM8lHhZi+3/+Rmdhu40nEKhwccHtDzgFksaaW3HBH0toigu7sDN92kk1krJYDevQ+U05dYORytDz9cVI6vsgoNPjiz7jXEbvkCMwZOxjUPPIGLX3yMgNHjEDhpssFxvWVSjHE3BGlUg0616BYbB9Dd3IAtWyz+muPAq+eBg4Vl+Da7CH88fj+yj/2Fu09HI1Cp+E8xde8rKMV3OcXM6affWoO4bV9DERiEGz74Aj/PmIQuYydgwqbP8Ex3Pwx1lV29wWnHK72cmIX4whJsv3YgXCUKPPLwWhTHXkR1Xi6GPfM8RAolxE5OmBvgydsKAnmy4b6gdHeH2ZcHTAF06snYsWPxww8/wMtLuwFDkXEC7mKxGHl5eTqQXFFRgZCQEAbGt23bhrvvvpsdX19fz0Dx119/zX63lMV937597Dru9E68ZATSn3zySXzyyScsGv/SSy/pPuMAOv2BNgnoenK5nH1OGwcUeacNg7S0NPsaIBtvLYHUpGoNuruI0c1FAlfhf6PU5Xx5Nd5JzUVjfT2aGhsYkS5tZNOGtsMcHnB4wOGBK/GAA6DzeO+PP/7AxIkT2ScJCQno2bOnVT4261Qugv7zz8CnnwJ79+rAOHbs0NZntxNAf/RiKorLynBg3h3ov+gRhEybhXPvvIHM7dsxrc8E9LrjHiTs3IZuk6fC75rrdP32FYswyVMJibNhOrvVaa0OgG7VXOqIg19OyEKyWoMtg3uwy0/+ege8hwxHoFQMSnG+3c8dfeRWbMp0RCeu4Jr5mjosjctAeVoKShPjEb9jK3JP/ANlt2D0uv1OnHvnTXb2e8MTcae/J6b7WEmUeAVta6+vkrzWvMgUFMdGY9+d0xHo5o+ZU+ahMjuLMbVzDO5CJ2BegPEouUt/TwgUlyG/2F4dc5zXIg+YAujOzs4sGt27d2+Dc82YMQN79+7Fn3/+CZJJI/viiy9w//3348Ybb8TBgwcNji8pKWHgmKLZlgJ0Y41Xq9VwdXXFoEGDcPbsWd1hHECnz0iyzYPKxfSMjo+MjHTIuVk0Kyw/iDb9afOfMyKOvN7DFbfx8FVYflbbPrK2sRH3R6WisaEB348ehIaaGtxx5Awj1PxiQHCnyayy7VFwtM7hgc7rAbNY0squ230Evba2FoMHD2b1blVVVTYD0IXBfaCYdmUR9L35pdiRW4z0QwdwdOliNrQPnYpH4wdfozr8Avs9aOJkpB8+gF633wWP/gNxo6crvMVCSFsAc25eiLxlkIS4WT5N1Gpgzhy7IImrqG9gJQARFdXoKZNgkqcrxEb8YLkDbP/ItUnZiKuq0QH0sGdfZOndBRfOQ+Kqgio4GOtDAztV/bX+qOzKLcae/FJd/0VyBeqqKuEsEkPVqzeKo6Nw+x8n4eLpxVIabzdSk237I93cwrK6ejwek470Q/txdOljGODbG6PDJqEqOwuKrkHot+BBdnAvmQRj3ZVGuyYJdoPIp3NkFNjT+F1pW00BdIqIJyUltbrEsmXLsGHDBoNIOdV3E/g2lkZOUW2KxFsD0LOysthGQGxsLMrLy9HYqOVI2LlzJ0u9p79xxgH0G264AYcPH27V5tmzZ2P37t34999/WWTeYW3jAeKuiCsuQ8SmdxAwZjz8R12Had4q3GmkHKZtrtqxZ/kgPR8nSitx8tVVSNj1HWuM/6gxmPjx11jVIwChcmnHNtBxdYcHHB6waw84AHqL4SMim//973+455572P8dEkGn9O/Jkw1T3EP6QnnLU5c92YideUlsOsqSE9kLJf/caYichXhr9zmcWb1Sd17PAYNRFBXBFuTKoO5YEOAFUyW2AjcJXPrw16TyNtZOADrVYb+alI3C2nqDbkzxcsNUbze4i6zUf7/skbu6X6xvbMLCqBRQRHXrkObMkYkff4PDD89jjZkbkcTqkKd623/kmM+7LTcoWh6j6t0H03b+yv58k5cr7jMRUb66o3f5V0tVa/BiQhaiv/kceZ9+jvHB2lpjMnom9LxtDvuZNiS8FBI0ahp4L2b1ht3lN9nxzTb0gCmATgRvVHPe0lavXt2K8G3KlCk4cOAA+3cTZYG1sKeffpq9Vy0F6ET09sILL4A2zo0ZPas44wD6vHnzdOn0+t9bsGAB+7t+1L8N3fifPFVjUxPmR6agMDIC++fehj5zFyJs+So8HuSDazoxb8miyBRQFF3/PekzfCRu+uI7pnTRmbMH/pMT3Uyn33zzTQwfPpxlDznM4YG28IADoOt5kerS+vXrh02bNrEaNapvsw2A/jAEIf2uCKBzdcU7x4dBU1rCet3HOwT3PLsesVu+bDWXhi55DmJXV6Z7LlCK0VDBv0BylgogG2xFvZWdAPSf8kqwO68E5//3NjTlZeg6fiKamhrZ/yJnZ1ZjNsJNW9vYmeyHvBL8mFfCsiiOPqPNsmhpBNDJvh0U0pm6ruvLW8k5TOebS/GnD/z6DkJ5YgKC3bsibPLt6DtnLspdnNE1xAOPBlspNWiDXkusrsGr8VmQfrkblUf+NmhhwHXjETjxJngIBZjl6w5xgAK12ZW8vXASOEM21MdRh26DY2yqSeZY3An4tjQ+gD558mSW2k7/+Baq1gB0IoCjKLebmxvee+89lkbv5+fHWOHJAgICGFkcH0AnFvevvvqqVZsdAL3tJ+bbKTmIrFAjfsc2nHrtRYxeux4h02/FutBA+Ek6j8pFS8/ddyGZrQ12jh0GH7kn/IJDUZCfiRsOHMYwlYLxk/wXTdPYCAoIEQ+B4j/CRUDKFv7+/my4STGC48zYtWsXKJunZanNf3FeOPpsvQccAF3PZ8T8mp+fz9LfCJzbFkDvD+UtT1o/wpe+8UlGPo6VVBqAjgkho+Cv9G51TkWXQPRf9DDg5MQAOkkn1WYZWZATMdQIX8tZSzmAbuMkcfTyJdMHac5CEWbtPwpXH1+81zeoUxLhPBeXgYyKSnw3oh+c4ASpSIK6hjrUN2ojpgInAe46H8fG+7VeXRDkol0sdyZbl5KDCxVagO4lc8c1gYPRf8osVGVnoyQ+Bt2nTIPvyGsZo/kAbwVGjQqye0DKShqOp0Cz5zdkHfsLql6hKE2IY8Maevc89vst3m4gLgrSO6++UAA0By4Nhl8a6g6hypHeaU/3RFsB9IULFzJg3BYp7s899xzefvttbNy4EY8//riBO6kGncjfCJw7AHrHzTSuNIb4Og7edgtCPAJx01sfQBzSDW+M7gnnTgzQaI1QnhCPimdfwZAJ01FXWc44PPq+sBKaAf54tX9Qxw1MB1yZSgJpc/93PS6ChwO9McZESVQHNLNdLkmY4brrtJxNa9aswaqVq/DX7oN4aflKhPYOxeatnzIy5f+iVG27OPw/clIHQL800L/88gsIoJMcDKWpcNEBcxF02sGnf/pGhDpz585l5DXDhg1rPZU4kjgih/vkk9Ykca6uwJQpzSnu7z8EQY8BVwTQORIXAh1Bbv4IcPVlL1POvAcPRUHEefZr8NSZ8AnTprgSQCem9tqMCjTW8qe1UsTMWWwha6uNA/S6xibsLyxjtfpVeTn48aYxOh95DRyCKVt2o4dMgtU9u3TKRwQtOqgMImrR/Rjs1weuKi/UV1exvjY2aWs/xWFDIVw8HxIXEd7o1QVunSjdv6GpCQsiU1g/dw7ry4gTJUIxQqbdCvfefVCSGAev/oPhLBKyNH/iZhAHKllU2Z7tcH4Zov5OR/r+X5B76jgGPvgYpJ5eqCkuhMzXH15iEWb4qEARcnmYL9SxxWgo0/B2WeQrg6S7FbwU9uy4TtL2tgLon3/+OWNrp/R2SnPXt9LSUqafbilJ3EMPPcSAPumY07tZ37755humdU7mAOgdNwl/KyjFtpxinHv6KfTJq4VUKMHIlWsYN8CCLl5sM89Z2vnKwbiSQfmfp1Hx5VYETriR8ZSwZ+fDT0AUFICnp/SFs8CQVLfjRqp9r1xaV4+1STnIq61jF8o7cxJeg4YwVvs1PbsgWNb5NvL1Pbplyxbcd9997E8zp8/Ad299gaO//Ql6TpF9/PHHcJR/te8c7IxndwB0ALQbT5qqlJJHNxKZpQCdO45vclwWQN+5E1AqeQD6QChveYJ3DtICpTbtPCTdeTYDLn3j3dRcnC2rQvKMO1iabksb+tRynH9vHfszMbl79O0PP7GI1VvLBnpBk1puNM3dKi30mhrgjjtsliSOAGpB+Fmk/LqHRUmPLdNGbqhe/4aX34L/tJlY2ssfA5Sdjwirsr4Bj0anQb3vd0i2a2us+9y3EHmnTqAkLob97iwUov/9jzId8JBBPpjW0/7Tu7l7gTZnXkvOZnJBddVViL11Dvr79mIfh94zD6qeobrbJkgqZqSBzCcyIWQDW2ei2NMLY/nZZASmVeHkGi0fxaBHn4KLt7Z0xesSIzOlLHJa5/WFatQklfJ2kRbktDB3mP14oK0AOhG2BQcHszTP77//HnOIEBRg+uMEuInlncySGvT169dj+fLlTDudiN1EIm26dHR0NFNZobRSMuQeEnwAACAASURBVAdA75h5VlBbh2diM5j/a5etgahAWzp3zUuv6cph6HdaPzjLOleqO6X1xxVXwWnFOqjzctDz1jugKStDxh8H0eee+XDr2RtzxwTDw8e+N24tnVncRk3E5veQdfQPRqQqcffAHX+dZqforOVwnH/efOV17P1iN7zl7vD18GHkmSRFSRuMZByucBngxd6hDnN4wBIPOAA6gFWrVuHDDz9EfHy8TufVUoDe5hH0ywDompRz0Cy4Ga5H8oyO+YsJmSiKz0LZytfYMV3GXs9SWcmIcTXopqm6xTn3giEG9yC5FLLhPtAklaG+SM17fkkPFUSWaqHbMEAntvb1Kbn4bmQ/NGg06DPmJvhnl+vKADi/LOziBXknXHSsjM9EWnUNyu9+GEqJHKF33QciREv++Qe2aUFZFkGTboZQLodKKGAkOCI/OSTdtEDV3u1IcQU+yyxAzJYvkbt1G8Z799d1aeBDj0HmF8BSvD3FAgxXyg1kdKzapLJBRz39dxyC82t1z4Ahjz8NiYcX5vi5QyFozo4Rekgh7eWOprpGVJ0z/ryhKDtF2x1mHx5oK4BOvSUwTcCc2NYp7ZOk1SgzraCggIHtrVu3WgTQi4qKMGDAAAbECfSPGDGCAX8irCM9czonccV0JECntN7axiaoRAIInJzsY7DbqJWc2sXZxQ9jaKVWdrP7zdPhO2IUxrsrWaYZZ7IhPnCWWJhl10bta8/T0EZ+l8xyZKx4iV2GMo6q83ORtGc3QmbcxmRJp/T1Re++VvDztGeD2/ncD0SlQNPYZFASSNkUs7b9DHGvHvh6iFaytTNaY3UdNi59G6eOn0SPHj2Y4oVCoUBQYCCiY2LQrVs3rFixgnWdykVJmthhDg9Y4oH/PEDPzs4GycgsWbKEpeZx9v7777PaN5Jq6d69OzvGUjPrVFMp7pcB0GsSTqH2gekmAfoTkakIOBqLqE8/ZPrmpHNekZaC3NMn0GPmbDiLRIj86H1U5+dh8GNPs/RWSm8XqiSQhnqwFHdjxFBWaaFzAN0Ga9Apy4Bk1agMoKurH24cepOOUI97Ccv8A5hfyDpT+h5FjxcRe3tCCppefY/1j+TVBFIp6tXVyD3+N/zHjGcpa6SFPdVLBS+xNnWxM6R4Uz8InBNIPzx5Isb79IezUzPADHvuJQgkEt3Y8z0LCLzSZpWTKdkDSx8iV/G4v0sq8Et4FvyLNDi19kV2ZdI9pwgIN9e55lAqP403GdWhN6oNVQ644xx66FdxANvgUm0J0Kk5f/zxB8tCoywysViMsWPHgliOd+zY0Yr5nY4nAjgC3qRdTu9bzjIzM0G16PQZAXYC6sTQTpF1Wgx3JEDfX6AthapraoJM4IyXegSgi1TcBqNh26egDZHDxRX4OquQNfTizdPR11sLwCh6TtZS/aWzlb0QQO91KgVxm7TvypEvvILyzFTEfvslul4/EV3G3YAGqQBPT+1n24PZBq3L19RhaVwGaisqsGPMEAwL6M8IiMk4NaBHRgXbfRmYMVfVxJfg1WdfZtLMJCNJzzh9Gz9uHO659172J6G7FNLe7m3gdccp/gseMIslrXSC3emgh4eHY+jQoSa7SWQ0VDdnqZl1qimAvmsXoFC0SHF/EIIeg4ymuGsST0Nz/zSjAF3d0Ig1R+IhPXkB8d9vQbebpsJvlJbQQt8IiGlKiiEP6Io+cilGqxRM45xqZ+ryq6FJKeN1gdDTBdKeFkpu2TBA35iWh1NlVQygz+o7CTKxNirA2bBnnodIodSBFiL9oPr8zmD/oxKI8mqoN2yGJCIOXcZOQNcJk1p1TS5wxkwfFau95owAKWPuFtp3xHRDSi7CK6qRf/t8eMm1L9Fes+9mtYUUFeqnkGKUm+mURXusMyPW+qqYfGS8tR615dp7nFtotwTo+tkyNQklqC+u4Z3+3HOjM9wbjj44PNDSAyS/uTQuHSVJiYy7pces2YwA6rlgv05Z/qTf/735pWxjoqmxEc7VGtQ+8iwEztroOD03ukhEmOxlyEHhJLqk7tAJsgyqGhrwREQKgg9fQOzWr1j9ecDY66EpLkL4pneYH4YueRZiVzfcf0tfyCWdrwZffz4si81gtecn1qyA35lEBKkCdB/3vW8RXIN76LiMaM3UmaypoQmVp3Pw2OLF6Na9O+68806QVLO+UW36mDHNXEaKa7Rs753ZaBMvKiqKbbYqqWTXYZflAbNY0sqz2h1ALysrw++//96qm7QLtnPnThZF79q1K0ups9TMOvUqAnQiM3k5MQuByZUo/+dfpP62F71m3wWPfgNbdYdesUQD5y0SYoKnEkqRELJhJJnkzOrP1dFFRl0gH+FnWeTQhgH6B+n5OFFaiV9HDcPNvcfp+urRdwAEIhFCZs1mf9MHLfIwP7tn8KY+UUSgrqwMjYtXQCQQGWhfj3STo6SuHl4iIfooXMCXyEm7wrQ7bI9W09CIXXklOFBYBid1DRoefl7XDQ6o0sbELd4qKMylbTsBLJ3TUtJEG3AYjX3XI1FI//wz1hrvoWFMJqnlXGcbMUN8QIttMlJ2qM2s4O1BZyp90O8g6R5HVKhBUkLDXeVwMTcfbGB8HU1oew98kVmAP4sr8MNN16E6LxcB143DuA0fQujigm8GBndqtmYCZGk5OdgzcxLm3/kMqk+fM3he9pZJMca99UZmZ6lF/yg9HxkJRWj49TCrOacMRK/BQ9HU0IBTr2lT3imCTpH0W0Z3Qw+/zlECxncXUYnH4ug0ZB37E7XrPkQ3lSF5LlcWSBkVQuJqGdS5uEk0RVWIPXCeqU2MHDECCxctwqOPPmrgKq7+nPvjf0HlZPv27bj77rtZWRKVIjns8jxgFktaeVq7A+jG+mdpDTrf98069SoCdKqpvlBWhT7/JCD/1AkURJzDgAcXQ+5v+CAdo1IgyEUMSnUm7UoCYfqpy031jag6a7zmVOQvhyTIgheRjdag61K8GxuRNGM2QjyaJVJGPP8ynMXa1MWW0YHOAkQIpDVGRAMbPtGCtEFD2YYEpbPPC9Cm9Jsye05h3J1bjJ/yS1md/fBaN6Ru2gQnZ2cMfORJuHh5w00owHRvFcQWpq5Lgt0g8rEPEkHKrnnoYiq6/XwcKbu+187xsdej64Qb2c/6m1GS7q4Q+cp104Ci5xRF5zOBmwQufTzMTRu7+Zw2cVYkZKKg1jClf1PfoE6lYmA3A9LBDeWihvoynMTjMm7dRjzdzRfD3Jrvkw5uaptevr6xCQujUpD9zxFELl+GG3s2Z+IFT5sFn2EjcL2HEiE88puUbdYZIqiP0fMysgARb77KfMuVBNLPHMmmz7AwBE+7FeMG+GFI784FSvUn1IWKaqxLyUXsK6vR+xJpKJXBNdRqFT5633kv3EP7YZ6/J4TOTpAP89Vt8LbpxOygk6194kXEHItgV7/vvrkYM2YswsPPY/Pmj9jf+vXti6eWLDFoHcfj0kFNviqXfeqpp0BlwmQE0g8dOgRXUqdymFUeMIslrTob4ADoAMw61RxAl8uBm29ulll77wEIeg2BcqqhFiw3NprEM9Dcf0urFHdOCqRg7y/w3HmIHS6UyTHs6efgJBAgzFWO6sYGdJWI0VWvdo4iZaIABQh069fTVofno1HDL7XmJLgUXTOX5myjAP2brEIcKiiDx5/nUPD1twbT/poX1zJNeLIJHkoEt1h8yIf72nV6N7foUv5xGmVfbWX95BYYYicnzA3wtOgxYK/ZBEzPNi0FsYseQFgXbWYJx9NAP9/h6w6lFXq+9pTmTsSI7yVkw3/nnyy7hoxkkuj5QMZ4KDykEHq7tNI2b6ypR3VEAe/coCg7LcY6i9EmRkVFJU69/hLEbu5w8fZG/wUPse59MSDYgDCws/TZ0Y/WHsjV1OF8eRWTFiPTB+j0+9yIJNzs7YZ7/C17Ztqbj7l648QfdsB3xyHIxdqNSEWXQPS//xH28/wAT17CPH3+CnvrN9de2sh/6lQiAs8kIeqzD9mf9dcH5anJiPnmc3j2G4Ces+/GiCAPXBvWOSVZqe978kuwK7cElU+/CFlRBYKnzoBP2DXIP3MKKfv26LI17/X3gMTZGfZOpqo/b6k89oU5T8JDpi1zpCi6G3ErAXjxxReRn5+P0aNH6+Qgue9yUqX2eg9Y0u6nFj6GU4f/hdBZgLKaCsQXpqKypgpCYecu97DEN9YcYxZLWnMydCKAbmW/DQ4369TLAuhDoZz6GG+zjAH0k6WV2JSej9jHn0Tvcm1aqltIT/SZu5D9bFBf6gS49PdiqblcCmvLi5GsEskrGTMikyNSOZNmgynulLb64MVUiE5GQr3p81bN59KcidU+kIcEyJ4ipnxjQ+nryy6kIuCX40j+cSc7ZPiylRDKZCx6fLuvZaQm9kgWF1OpxuvJOUj6aRd8th/ULTi7jp+ILuNvgLtQgFst7D/nW5IUonROezCSXvwiJhvybb8g6+ifOlIf9qwQCjCnhw97LvAZ1ZlVn8lDU2MT7+f2umGj3xm6N1LUGrybmoe0A7/i2LNP6j6mlOagSZPxaKAPRvOk9NrD+DvaaLkHkqpr8GZyLmoaG9mXmjQahE+bicH+fdjvTgIhRq58Bb5+Cswe1AUCRecjjIuuVOON5BxEf/Ae+pxMMXAevSevVSnQV85f6sQRzlrucds78kxZFb4Pz0TT9z8j599jOj4fykD8u7SS1eWffu0lKIK6o9/8BzDYXY5x44MtK/+zve6abBE9/+dFpkBcXYvax1cwWc4BD2rXqJSNRuovPWbdwfTQ7/LzYESK9pxpp++M1NRU9O7RC7MHToETnFjt+Q033KA7JDExEd999x2eePxxqNxbr5/kVDoq6jyqBvq+0aSV4/2X14M2MPRtxowZmDlvNmi9TAE9h5n3gFksaf4UBkd0mgi6lf02ONysUzmA/ssvJJAI7N2ri5aDSOJ4I+gmAHrSWWgWTW0VQf+9sAzfZBch79kX4Z2rrRX16DeAEV+RcQCdaodFXRRm9RkbquqgjtIyt/KZRRISNgjQCaT8Ly0Pbtv2oWT/QdY1iiBLPbyhDAyCIjAIxsA5HWvPLx3Ssl0am4Fu+RpUbf8BeWdOovece+HeR8s+y8mpURTVSSxAXW6V0fEnGR2qUbYno+g5LTR2jxqE20In6prOESlO9nS1mpmZsk6Ik8EejDgX9p3OQMX23cg/ewqDFi9haf1klC3SO0gFSYhxIkRTTO72rnJA7PZfZBYylm4yipiFb9xgMKwUMR3vocQDXTtvGqs9zOOr0cZPMvJxrKSSzQPf0AEYreyBuHfWGVyayqG85S6Y5esBSag7hG5mNqyvRsPb8BrHiivwRVo+xO98jsrIKN2ZQ2beDu/Bw8BFSvkuaY/vh5b9IGm5yAt5yPtgMyrSUjHkyeWQqFSMtf5YSQWS1Bqc2/A6hC5yDFr8FCPbveGaIPOBizYco6t1qsiKarydkouupxORvnETfIaGIfgSd0lRZDgSf9yJkOm3wXvocAO5zs4guUc11i8sXo7RQVqC6ZZ15ubGoDNlEuj3lcMIixcvRkNDA1xcXKBWa4N6a9asga+vL8MZ0v6enZqnw9z4W/q5WSxp6YkuHecA6NakuBsD6DIZMHVqc4r7/+6HoPcw4xH0pHPQLGqtg/5zfil25RRBsXoTylKS2BApugai/yJtKhoBdGJfJxZ2S41SWim1lc8sqju1QYC+NDYdeRVVaHrwOV239ImyOF8Z85FAKWapW/ZkBEqJGI3miHNjE4amVCNh69coTYzHoEefhIu3Nj2ZAPqcvv5M+5qMmPyJ0d+Y2RMRUHl9Ax6LTkPm0T+RvOpFjOkepusW38KCIuNEhlcTU2S01IM7AbHa2wNR3MG8EkT/m4mk77eiODYaYctXQeCiJQK8198TSqqn9zNeT0vEkUQgyWf2vAihrJr7o1KZzGLKvp/ZptXZJU8gKKcKgUG9UVNUiKSidPT7cSdUCgne6dPMWWFPzwFHWy33ACPSrKrE96MHY7BfH0y6dRGLohJnQ726BnlnTmDgQ4/D1d+f8XbQhiZtUtmb7KIpj3ydWYCsC/lI+/BDVGZmMOnJxro6xlqur3DCew4nsI1LTtLPcs/bzpHvp+VBfaEA0W+shchFhkGPPQ2Kg87v4sUUYKIq1UyutqG2FkOeXIbuUjEmD/C3jJ/HdrppUUuei8tAeWkNyh9eyo7vPmUafEdeq10nlJSgMjONlT5IPDxZFh5lZJHZc0CDc8yX73+KQ19oS8LIrAXo+mooFjnbTg7SpJczOWZitW9obMS0adPwC+EcAJs3b4bzJfUfWk9S0Mdhpj3gAOjtMEPMOtVUBH33bsDFpTVADx0O5c2LeVtbm3weNQuntIqgf59dhOTzuUj94ANUZmey7zo5CzBy1Rr2MwF0awEV6R5T1IzPLKo71WiA2bMBlQr41rDWux2GwuwpCaguiEpBwMFzSP/2G3a8QCRG6N3zoOwezH6f5aOCh8h47YyzlBZi9hU5psgpsdZTSl74A/djcL22dkoolWL4s1otbDIC6HMn9QKBUzJTdcf0ubirEpRJYQ92sVKNN5NzUPDRZ/D8Nwqh98xD3DbtHOh5253wHDAIc/09IHZ2ZkoGsuE+bHFJPAya5FI0lPMDU/q+vYDTX2JzkRxdgOgvP0ZldjZGrljN+BZ6uEhYZNjc86EmsQT1RfxSa9Zu/tnSnOGyj44uexzpv/+GYYPHog9UuvsjYYd2Q2PIc6tQ2c8Hrwxu1u62pX442tI2HuDIFAsjI7B/7m0GMpzBt8xkz1EC68ToTe+NOX7uUAgEcOnrAYFr54miv34+FS7R+Tiz/jUouwaxOuuG6iq4+Pqx1HZKcTdl9k4S9nJcJlRnc3Dm7Veh6t0HoXfdB1I5GaBwwYUKNc6UVzE2d47Dw1cswi3eboy93Nmlc9Xf0oZVYHIR0lZryfI4zXP6mQoqiVPVGU6Mj+BmLzeoLqV008aVfKh9rZf057Q6vwIP3KTVNeesFVN7DxVorUxglc/saZ1kzRNUHVuMzNhUEMl2WFgYAgIC8PPPP0MqleK9997TnUrk7WIyM8+aa3bmY81iSSs774igX2kE/bIAejhqFk5uBdC3R2QiP6mEpWWSvjlZwOhxCJw0mf18f1dvyMJ8rdrhN1936svAjFGzMYBO7MxLTyfBY98/rGbKb8QodLt5uq75xghv9Ptnj6QftPudVlKK768dhIG+vTHQL1TXJa7mnr1oVRI8fkNvg+HUJJehroA/im5P2QSUwrwlIRfSzd+h4PwZDHn8GZ2ObciM2+A9ZDgWdvFi0WQ53Sct5rU6psgoSLcXHfB3jyZAUFiDiE3voLGeImHaLBJK2RQpRUbrz7kJQfVmxsoeJN1cTUbfrXy3XNXDn43LQI6mjpGAuUoUmBo6Hs5OzmxO0NxI2/8Lck8dx8CHn4BzV38sv6U/0NikzSZwAgRycadiK9Z3fo6mFhnqWlb6Qf/+C8Zt5h2aPhm9nd3R1a25hCX0rnlQ9eqtIxIlf3AlUfZ8D/CN6+ojcZBEprA0f/9R14GY68kIiFI5EDF1mzJzG362Ppee+DceXSPTcWHz+/ANuwbdp87QEcemq2tZBN1F4AQXZ2dInZ3hJhIwUlna4HahtF4LlUBs3Q/UvvsiktDnVCrjIyDjyPK4d6apPtgrsS6tf1MOROLF51cZdK8lQKca8/oSDcs45DNSeaFa7M5mVefz8eOO3fjtt9+wcOFCDBw4EJ988glmzpyJkJAQXXftMajVEWPlAOjt4HWzTrU6gr4IgtAwExF0foC+7VgSCguqceatNZB6eII0KQUuMiYhRfZALz/IBlpfO1kdWYDGav40d5cBXqZr2TmATmyXW7a0g/etOyWlOW/4Ix6a/VpN0z73LoRbj57sJJM8XJn0nCVmsQ68JSdr52MaKGsgMgU5J//Bnw8vwF2DbtFdkVj+hy9bofu9qqscL4xsfrDSB43VdaiONMJFQGmMw+1DG/63glJEHc9E+tZvURwXw9K7Y7d+xbJNOP1WyjIxRgJIGuCkBc5nFvExtPM4mzs9sfe/tT8asjI1e0bIfP0x8OHHWTSIokKWbDJQhKA2g18L3Z5Zmyk6RLY7rD+mhV4PkUCbQcItQrOO/IHMI4d186Ql0z8txMW0QWEncnvm5gr3+d78UuzI1W726hulsIbKpQyMSDuhNjzxlHx1MQuFjz7DNmr0jdLaZX7+GOUmZ2m8KpEQ8ks+IFkxkhfrDFbV0IB3D8ah/lwEEnZ+h25TpsFv5LUY765ED1lzloCT0Bkky8pnJL1IpXD2aOlqDT7/OxlOJ84jYfd2BE64EQFjr2cRctqgMGcWkeiaO4mNfE5A9cnjCfA7EYvobz4DR6rqLxYxFQNzZnadaO4EHfQ5bcBG/HQcGzZswJQpk7F//wHWEn2ALnAVw6WvJ+rLNKiJbf2spOMtKgftoD5e7mWbGhpReToXr65Zg5zcXOYjGZXrGjF7KQO8XH+0xffMYkkrL+KIoFsTQf/1V+CjjwxJ4n74AZBKDVPc310EYd8wKKYYS3GPQM3Cm1pF0L89EIei0iqcfmM1VD17I/Se+QbD+dCgQFaDbq3VxJegvsRIWqu52hIbA+j7c4oRdzwL6XoRMZmvn1XgnPxnTw+bNLUGqxKyUPjjHnj8+CdcvHwQMGY8kn7aaUASRv0q6qHkTd+tPp+Pxlp+yT17efnuSilA9vlcRH/9KSoz0pm8WH2NGuWpKfDo21+X5m0sXZ2yCCibgM/sYWFODPb7Dich9+ABpmtMRtkTvWQSjHVXMsI/InYyZXWFamgu6d+2PM6e09iejk2HOLcamUue1XWLoqShd2ufoTn/HkX6oQNss3Pkqld1ZIotfWAvpQ6WvAMq6huwODoNmrJSxHz7OYKnzkRNSTHTvubqiilA+EHfblBYIUtoybU7+pgjheU4/W86ot9dz7LRFAFddWVjw5eugJurEnf6efA20542b035OalKjZ9/T0T+saNIP3yApXdTmrcBMZwTQKSz9cVG1gd2rIX+XkouGiMKEPvZR6z+vudtc+A5YDDm+HlAYcGmlD1s2lp6n1XWN2DjgVhozkcgYdd2nbzadG83eItFOpbupgZ+hQ97rUFWxxfjgTkLmJvuuece/HH4MFzd3LB0qbYOn4xb/5gsB6WSOWJy70QZFQ2VtTi+9RDTgOeTl2s5t4jPh54VDjPuAQdAb4fZYdapXAS9zQD6BdQsvLEVQP9qTzQKCgsRvnE9vAcPRcjM2Qa9fXRMj8uK8BARRF0OP5u3WaktGwLovxaU4vf4fITkaViKb01xEYYvfQFCuUJXe8w5jCRimuoaQSyVfGYvoJTaTqndW+Nz4fLpDsbaTrJ7JL/HZ9l93fBm39YEWCY3aawkHmyHW9CiU24Pz0B+cikubH4PdVVVBpkDfmIRq8GmSJixuknaTSeSND4jiSVKabRlO1lUgZNHUg1KYAigUwT9GneFtvzFyXTKakOZBlR3xusDlQQuofygxZb9wkWHeqRX4PSbr0DVK5SBEarN56w8JQkx337BfqWyALGrq6Fs5aUDaQFCC5HOYJzm8fdjhsDfWcHKYpQSOZwCA5DX3Qu+C+6Dv0KODZ2QMG9vXC5SLhawzTxi7x7xwmrQHKjKyWZyjFzWibFx7gySg4cyixF9KgukgV4UFcEYzFUeHrjbv/kep8igs0xodH1gryn/pP++6kIa+qdV4dRaLUfLyBWvwEkoZPc9PSeFXlLUFRiXoSVSLI5s1d6fB1ml1dj9RxLyTp9A6m970euOu+HRd4Bus0Yc5Iqmugbj68QgV4j9jZOP2qJ/iH8naf8FVl9N9uqrr8LHx7CWXj/bjuRHq88alyGV9vHoVCoPlE335Zsf4ejRo1i1ahUCAwNNDmNnrcNvy7lrFktaeTFHBL0tIugSCXDLLc0s7mYj6K0Bulpdh09/i0VxTBRLR+NSkLjxbHAGlkzrD0pHs9bq8qqgSS3n/ZrZ2praWuD22zucJI52gJ+KTYdHZCbq9h9GQcQ51p9rVq1l7CZUg8ttbtLLRuTjAk1iKepLNbz9tqeH7duJ2RBFFSFx6zcoTYhD2PMvQSBunXaoFjujuJcr3gpt/aC9ok0aaydcOx3/7fEUlORU4tw7b0IokTBGXlpoh7nKdWNPi01jZSCUQUCZBHxmEWFiO/XL0tPuSM5Dbng+OMIzIslT9QzFTB8VvN2kFpW/mCp3IDkV2riyN0tVa7D1r0Q4xafg4pefGGxuUgpzWb02cyT6689QkZbCyAXJb5xspX5/6flK9ZadwThJwvhbbkUvr9akeENXv4bGQZ54NiSgM3TXoA8v/BkL/5I6JqElkEgx+PFndJ97CAW40ctNl9bO13lSQiBwas/2ZUQGKpJKcf7dt9DYUA/KHAiUSnCjl7ZfFA2U9vVAQ0UdatP51wf2WvayLDYDjcS78vUutqnN1govvcb+p/ueNibEXRVQX+TfsKXjiCSOyOLs2Yiz54usQsRnlLLARuZfh5B19E9GEOcW1B0LaLPC2YllX9UXq42vE31lkHQ3nwpvS74ivpVD3/+Kbdu+w4IF83HttaMNmkelLJQ5p2/quGI0GFkzml0r21LnzbSFdOEL/k7Bof2/IyoqChs3boRYbLo8VOgphbRn59i8bq+hcgD0dvCsWaeaiqD/+CNAE1sfoL+zEML+10AxWSuP1tLqUiKhXjDJIIJ+JK0IEWezkX3sL2T8+buOlZr7boK/BBuvNST/stQVJmtrLtXfGD2XjQD0g4Vl+Da7CHWPrYCgopnwTP+l2zJNuSapFPWF/DvkfA9nS/15NY+jjYkXTySie45aGzmurGQAnc9yVSI0dJHzAnSTmzR2sBglFvtDx9PhWl2PU6+9DEWXLui38GEGzgcpm1+y5uqwq07ngnbK+YyPWO5qjrWpa2XV1OLtQRz69gAAIABJREFUs6nokadBDAHN9FSMXPkq25yiBael0R5TmxT2qnv8a34JEv7JxOlXVjIXeg0cgh633oGeMgmrM87R1ONwcTnTjU/5dY/u2coH0On79lT+YmzOUP3xI1GpEHy1C3V//sN7GD07KfNi5PXdzWZe2Mp9YEk7iLPjtQMxkKbnIeLDd+Heuy963zWXlYKQzjUpfBBTtSljoGUYEU2aPs6S9nTUMR/+k4TajFJtVsmlkrkhShcMc9VGQjnGenpH0ruSz+yh9KdluzWNjXjkYhqUx6NQ9OGn7GOKmI98cS0GKlwwwk3OlEsoImhShpT4WcL87Dqt+bucIuwrKIN7YjZ61MmR9vs+tmExaPESePj4smwKkb+cycpRMKMmrnPUYBOnQuUZbX11VnY2Xn/9dXh6NmfICRT8hKokSWuMKM5eN7D57uvxYdeha73WHwTMCaCbMyZDOcS7U70rzPXZ2s/NYkkrT+iIoF9pBL2NAPqavxOgyq/ByTXaRSZjmu2tZequFTohorsM3w4yJP+ydKxNSW2ZXZRzAL2DSeIoGuQRn4XCtet03ea0z0NlUlxHKb4ttKxNRY3tJXXvcFE5/jqfhZJPv0JJXAzESiWGPv08erpIkKhuzg5odAIig1zgpZDwAnSqMaxJKOFfhNl4Kl9BbR2WxmagX3wpBKXljLmdk8y5TqVgZFfsRdNVCVGA3OQLhCQHqdaMz2y57GFbdhEi4gvgtOd3toHHkQN2dxHjBg9XWBrpos0J2qTgM3tUN6B+vBaVDmV8me7Z6RbcA33uW6QjgyqsrcfPBaUoioxA4o87EDxtFqvDNsZeLA11h1Bl37V258urse18BgpfXIva8mbeBdIAzzr2l05iabavO7x7uNstez/fPKbNrO0H4lF84jhL5w2eOgM+YddgiqcrAqxgsaeSFyp9sVf74PdYVKfnXyqZG4aQmbdjnLsCPWXa1G1O17izlb3QO5P0332/2IvsI3+w4SPeCeKfIN4BKoPSJ4CrPJljdIgt4fWw5flB6hbJ2TnInPcQhg4bzzIpqB5/+PJVUMrlDKBzad5XtE60MScQKW78hRisW7eOyYc9+OCDBi00Rn5IZZFV5/L4349OTlarKNmYW3TNGRU4BD08m0shLdWFt2fSyKsxFg6A3g5eNutULoK+bx+webMhSRwBdJEImDatOcX9MiLorxyIhntFPU6u1cpB9Jv3gE7XO81LjHyV6LIBOluUn8kF+AKH5naJbQCgl9TV46XTyah8/lWDxab/6LEImjSFycV0lUlA5D76ZpKx+tIOejtMpzY9JcmrqRLLEbXyBXZegUSCsOdeAm1KxFU3E/sk+UpQrBQiQCLiBehECGIsnc/WpdZYLW1OMSTPvQ11rnYxxW3OEDglkCob7A1nqXnd2isiTGzTkbXuZE/EpME9owpJzz7Pvih2dcPQJc/qtIzNZQ7oX81kFsEI+4sYbTqVgsbMSh1AD7huPAIn3oRZPioWLS2qq8ee/FKUxsUg7vst6HbTVPiNus4oQLf3Wrt/SyrxcVoeBqeqcXZ1s8ID8VaE3j1Pp/ncRSLCZC9t2qq9yijx3UVfJuehIjwfKb/8iPxzZzDokSfh4uPLW9Jg6i40pgZh3Z3bMUcTL8P/9kRBnZGJi59vhv67kqT2KBLmLNE+L02VvZgqGeqYnpm/6lvJOShJKkbu6rVM45xq7wVSKVsncDKD+jwlxEvC5BZ5zN5JIymwURxzEa6vf2ygZkDqFv4SMWNw58r9WA32mTzQ3OEze+Fl4DYafvzxB8bavmTJEvTt21fXJZLQI/lAY2aKUNfeN2yozxXJRXjktoUG3bcUoHcm4kTzTxLrjzCLJa08pSOCbk0E3RqAPmAUFDc9zDscdalRUM+faJDivv7nKDiXVeLshtfZdygFycVLW/8U3VWKKqngsgE6naM6Ih+NNfws3ibBjQ0A9I/S8lAdXoCzLzcvNqlPQRMnw/+6cZjhrYIP1eC2qBczxdotspOaqlXxGfC6WKpL33USCDFy5SuMhbq0vgF5bkJku4tRL9SmYhoD6I2aBlSH89df27rG5WPRaVDX1EGzqLmOlBv7qV5u8FdKIR9qSP5i7DmoSS1DXR6/JrwtL8hpoRWaUIKYV19hXRPKZBi+bCWGKmUY6iqDNQtJmgc0H3gXYcRUKzLNBG/lO6bdD9/xVxJyCipw6jVt6Qex+zsJBDpAVlxXj5/yS1FXWYGKjHTIff0g8fA04K3Qb6Sl5QLt3rHLuABJS61MyIJ7YTU8jhOfyTbdWbhyIPoDnySlvSzATbmFZDhXnUpCz+waRH66CeqiQox47iX4uEgw3btZAYVIRCW93I1mk9A17OUdweePCwUV+OtYqq7mmDayCaTTppWnVAwq5+GM0oGrzhqJGlKqvwXkk5cxVdvtKyui0uB+NhPh774Fz/6D0PP2O3Wp7XTRlhvSNcRVU2TfpXAtnRldqWYlgXmVNfA+FonML780OISeBd5iIbsn9DdrqiMKQACXz+wlo4QLzJCe99mzZ7F+/XoolUpdl8xtZlMggwIa9uwDYzcX+SYnPBUrVjSvpe+9916MGzdO9xVSczFGnmiPJS/t9qDhObEDoLeDt8069XIi6CYAem1KJGr0atBJ2mIj7Xbn5eLCxxuhDOyGfgsfYj2lvcyzITI0OTtdEUAn5mZKZeMzk3qfNlCDvuSfeITk1uDMm2tY8xvqtA9PLnWRNI3dveWt2JfrS2tQE2efad3cOL0enQFFTAlOvqrNrODSc4NdxEjQ1OF8iKFupTGAbjK12dmpVfZBO9xml31Kih53TazAhRebXyq97riHSavd5uMOTw8XBlAtMZNa6F2VrDbRFm3B+ST0P5fJGNzJnEUixkxN9ZRUVym3AlirowqNqhtQZIEiDPZi9OzctT8OGSVlOLv+NcZMTAzF3OKTUv9zPETYeiQJihpDref5AV7gKzG29Q0rY2NDfBU780rwR2EZGl5aD6e0LN2hXOYN/YFIBT1FrbNN7D1zgPpGpSDxUXko3bYTBeFnmSTloMVPGbC20/uOtI+pztzUO8IelB1azgWKfv5eVI59cXmMFIwrmesx83Z4DR7GWLtlKinTfdY3Suul9F4+0wdw9vBcWHskHsLoNER+vJHpvpP+u/6GlKS7K0S+zYzktRkVIODCZ2ZVbmzQIbRJRZvaDbUa9EksRWNSmsFG3bBnnodIoWQlQH6UTaG3AUNlcMYk92x5A1t/GGoSS1BfVIO3334baWlp2LRpk67sjcq4ZEO9Qf8bM1M+sFe5Oeory5A4n4/khCS8+eabuu7rR8+JJJVUTOxZ7aYjb0mzWNLKxjki6O0QQS95ZwFEA641GkFvCdBrq+rw0YFYlCUlInbrlwiccCMCxl7PhrJG5ITIbloQdrk16PRdk5HDbq7GaxA7GKAfL63Ekb/TICoux7l33oBbSA+UJScxfwxe/DSkXl4sVVXMQ3RmMq3bHDmelTdSex2+4XgSnBILWGYFBz7oWtd7KLFXXYXYLoYspMYAOn2HoiQULeEzW42enSurwpfRWfA7GYfor7SEP2RDn1oOsZuKjb3IywVE+meJ2StZ3trfouGcmIqLn3+k6yZFQYZRBN1dYRARM+cHU5t11kTizV3nanxO6bnbDiUgp6CAbV5wpQ+jVQr0dZUx7doMTS1WxWcioLgOrmpt5kCpXICVEldesjAilJKNMC9ZdzX6Z+k1qAzk5/xS1DY2wb+4Fll6evD+o65jKf1UFjFGpUDvS5wNLc9trxsTXD+KauuxPCoVQ1LVOmDafco0+I68lj0vQ1wkkLaQlDSVWUSkSJZm5lg6Tu19XFJ1DVYnZqNbbB5U1Q04/7+32SUp64qyr4gYkSMF02+LqTRvkxv47d0hK8/f2NiId/dGQ52YyGQVu14/EV3G3YCpBEbFIhDnjstAAmjN5H/2+k4w5ppPMwpwtKQCpx9chOEaV7aeJN4SzgzY7Fsod9RmVYI2sfnMXjJKuA3oF154Ac7OznjtNS17P5klfTC5Vm6xuWPl9OzQw7lSloiICHz44YcYO3YsZs6YAaVrs1oFZY+Ju7natdpNRzrZAdDbwftmnWougi4UAtOn62rQtQB9NBQ3aaPgLa0lQC/Ir8J3fyejMOI8kvbsQsj02+A9dDj7WplMgPgALWHRlQD02pwqo1IqJiVlOjDFvbGpCQ9GJKPv+Wxc/OIj1FZUIOC6cZAHdIVILocyqDu8RUJM91Gh5a44+csk6YkdSKg0NjTig30xqErPROSnH+iiAdS3ef6eWF9VhjQfQ7k1UwDdVPqaLdZW1TY24v6oVAT8G4PMjz7W3UbygC4Y8MBiVnvOCNKs4BOgVEZKaeQzoacLW8DbmtXVNmDzL9EojY9D3PZvWPO41M2JHq4I8ZJbJY/GRRj4+mlPEQKKFB1OKURGZD6qc7MR+ckH8LvmOnSbPBUTPJTo6atkkcKMmlqsiM9s1d1NdTII6o3UWxKDt8h6ScuOmDsXKqqxLiWXkT/VR8dhUvAonLqUcdPz1jvgOXAIaxbNlW4upknP9GtzO6IvV3LN7TlFiIzOh2bnz8g58Q9cPL2YFCN7XgZ4QkgbL0N8GEjjjCLO1adN1N3aGSfDupQcZGVXoOCxZbo+qnqFMu4Byrqa4OFqQBDHHWSKzZxkS+1FAzu7qAq7jiSjODoSCbu267LsKNNKJRKw5wFlT+ibPROo8t0vj1xMRWWNBumz5yLQzd/gEI8+/dFrzj0Yp1Kgp1zKAjP6coKdIaOk6kweGuvq8cijj6Jnz55Yvnx589rBgue6qU0Ka9YaV/Isa4/v1pfUgDh4/v77GL79dgvuv38RRo68xuBSkh4qFvAwrXbjZ9fqFu3hW+6cZrGklRd3RNCvNIL+00+AQGAA0Es3zIdw4HUWA/SklGL8ej4LOf8cRfrhAzqdXhpLqjFO99aCsCsB6CZfQu7SVunhunnUgQCd2Hg3nE5B/UffoOhiJGsSl+LNtY+AqtDZSScZoz//TdbWiZxBi1FbtrTCSuw5moLck/8g7cA+xsLrPXgYq7n3EguxoqECJQrDVFVTAN1kbdUAL5CMiC3Z0eIKfJmaD+GKdQyAkZF+q7JrNyYvNs3bDT5iEbiXiiVtbyivhTqGX/uWtHGJpdTWrLCoGtuOJLGU3eSff4DfiFEInDgZzmIx5gd4QuItsziDgPpmr3X4+uNC+r5L4zIgLq5BcH4tKlJTEP3NZ+g6fiK6jL+BMXZ3C3SDJESFzJpavMAH0KGEwAijvz2l+r+bmotz5dXYMrgHJoSMwoTFzyL22y91cnPkN2Np7S3nur3UmfLdoy/GZ8A7srkciCMDpM2aYBcJ23Dhe+ab5GfRI1OztecC1x7KHPg6uxBp6lrUlmvQN6tZDYaOoRRvSvVmfB2U0kzlMELDzae63CqQbjSfibxloLpdWzfa0F3xdwKCCmuRuu9nJifWe869cO/TD3f7eUBBqf08pVAmM+0UYtA9YU+28FwSAiJSkfreewbNprUTrR9chELc5ucOqbMz65u+UoEpGU4mPWjjfAQcC3t8fDw2bNiAAQMG4IknnmB+sFSlxCR3kZ3cC3zzlQvS7dixA4cPH25FnsfGd6j22WBK7Ya4npxdzBPy2tM901ZtdQD0tvKk3nnMOtVUBP0KAXppXT3WHU2Ab1k9A2EExgY++Bhk/gGsheleYuSptMDpSgB6Q1UdKPWHz0wytXYgQI+uqMah35MQu/UrlCUlsKaTPIjQxcVgwan/YGnZv6pTufyspE6AYqTh7nI7TK0rOuWfMXmIjMlH3HffojQhlsmrUTrSvQGebLH5qKASTS30fE0BdJMM5n08IHQzjMZfUePb4MsbUnJRmlSC5GXP6c424vmXGTC90dMVgZckk6ypkSSJNXr58N8Hptld26BLl3WKuJRiHDifhfPvvoXainLdBh4HPMyR3rS8qMk6/EAlk2yzdTtSXIHPMgtQ9sFnCCyuh++wMAOGdgKk/t1UoBpS2uh7ng+gi9wgKOcnA7KntN4Ho1IhrKpD9sJHoBDL4XfNaOSe/BfBt8yEz/CRbCgptZkix9J+nkbTF+k4aza7bG2OLD8Sh4DsCpx5S8tVwklrcXr3xtJb7Z3F++WELFBqe726GgNLnCEvq2Ha52QBo8eh64RJkAiF7L1Bz3i+Tcj6Mg1qYo1oYNtJOdiBwjL8cz4b0phkXPxCm3E1csUrcBJqU/uN1ZObJFCVkPazZQSktnA/ECHmu0cSIDgRjoRd3xk0iSMe5rIJ6EPFNa3XQKZK4SxVS+koXxAbP93Px4//i6+++hpTp07FzJkzWXMs1TE3eS+oJHAJtb1NfEv8TRvzRQm5uoyCl156CV26dNF9VV+q1SRnlQ2uFS3p/9U4xiyWtLIRjgh6h0TQL6BmwY2Mxf37nGLEXciFMDYZ6YcPoiI9FRyJB41lgp8EpZeipFcC0M0xtbaUKNPNo7o64LbbAJUK+PZbK6fXlR1+Or0Yx89kIX77FpTEx7CT6ddPcWc3VVdUdT4fTbVGGKuH+7aKJFxZi9v229//k4y8vCqc/99bTMOV5GK6S8W4wVOb1n1/cWugaQqga5JLjbJzUg03MXTakm1OyEZdZBFbcDdoNLhm1VoWOdcH50JT2R88nTGpc2qjNacrD8ewDTyO8Inq75Uqd7bgJqN7lzapLDWT0TJ/OSRBzTVplp7zah9HrPaymgZUPrSUXZrKgpL3/qArD5rj5w5P0vf2lSO7phbP8QF0mTsERc1Shfp9sHbT42r3X/96T51ORI+M5rpr0oEvS0lC6F3zoOodqtN+5vgFTG7QWFEu0pF95rv2xgOx0GQX4Px76+A9eChCZs42IIczVsZjzyzeMZVqvJ6cg6o/jiJj/QZMf+xFuHh7I3zTu/AZGobg6bcyV+myjYLdIPIxJBalz+29HIz68OjFVATFlSBqzcusz0KZHMOXrWDKJlO83Hiz7Og4kwSqTk6QjzSUb7W1ea/fnpiyKhw8nMz03zOPHDZo6vBnXoBQodCpW1C01FncWrHDJDhrweFga76g6PfvX+3F1q1bWdMefvhhDBs2TDsfLCxh62yyg9wY0cZF3Plopg1PZsBu30JuWZNcBvIln3UGMtH2mrcOgN4OnjXrVFMR9D17AGdnwxT39fMhHDwGihsf5G1tbUozQKeF5uDYUpx/fbXuWG7nn/5wsasU1VLtQ/RKADp93yRJmDEW6A4E6H+HZ+NccpEugsxFhK5xk6O/QgsmqYaKdsaNAZTqyAI0VvPLhtj6bvA3+2NRVFyBM2+/ClWv3gi9ez6Gu8oxWKllLV+Q0rqu1iRATy9HXU4V75ykOjTypS3ZtlNpKMwsZwBd4u6JgQ89xprHRcToZ5ILMsXI2rI/VHNK9VVMHqGFETmYrS3GKG3z7QOxkBWW4eyGNxgb7cgX18JDKMAsX3dcDrNufaEaNUlG6vCtINzryLnyyKkE9Mmq0ckPdhl7PbKO/cUY3IlMca6/B1xDPUGkNzmaWjwbx1OD7uYJQa6RRYidZBLQGLxxMAby8jqcXKtVeuCs//2PQtGlK7tf9Ms36grV0Bgbfw8pq1G2N6MN6E/3RqM4N0fL3n3NaHSbfItuM89U7ajGzp6L+mOz6EIyuuXUIGP9O1AX5EPuHwBK7Y/++jN0GTcBXa+fxHg6iK+DZZoNIRnF1twKpIZQdSaXd9iJUI1IRG3Z6Lm+gPhqjiez8Sfrv/BhKAKDQCovSqEAchMb8qZY7O2Jl+F4WhFOn81G8p7dKIg4ZzBkpH3uKxEz9nYXEyVtpu4HW67B5jZaSPdcrdbK5i1duhS9e/dmP1vadpPBLIGzVYSstnLPcH1a9/bbSEzSkix/tHkzC/yQtVwLm+KsailTaCt9tIV2mMWSVjbSEUG/0gj6FQD06oOZePNMCvwvZuLCh//TDZ2+Xu35YBnqLzGOXilAV18sRENlHe8UMcrezAF0NzdgyxYrp9flH051dR8fimPSSEQQV5WTg5ErVgNOTqyeTCYRahcbfDpJepelemOqO+YzW2aspgfqZ7/EoDgvBxc2vw/fsFHoPnU6YyPuIZNCNtwX8y6mtOqWKYDO6YPy+cLSl9flj6j139x6OAEFBeUsXZMjOiLW8iGu2gjQ5TLPm1yM2VhWRYZag10H4lERqyWI41iJOf3zy6kHI7lFipLwGREotZRgsn7k2v8bb/1yEZIqDU6/od3YVPXsjdLEeAx44FG4dwnE3ABPXX1lrqYOy+MyWjXqA09vOGfyyyvxMV23f6+svwIBk/d+ikKTuoZt5OnbkCeWQeLuzgC6/gacqZpbAm+sDrFF6Yz1Lbu636ivrMXmg3Eob8FFQGDEVywyCc7s7bnIeZbK4177Nwmq8/EGChfEUZF7+oSuxIEDqHxEqvqjRORaTQ3GVD6s2wi9uqMPEGHku4fj0HSaUru3QyASI+y5l1jGFSvvkAogG2w8Vd2U9KQpMHu1+2nueocu5iA6rhCxW75gajf+o8dC4uoGeZdAtlnH1g9uMpPqBKZqsG1ZB5tApSa1FE8/84wOoOuncVuTFWXP90LLOULviJr0MjTkqllGAdnEiRMxZ84c9jMft4CpLAJ74CIwd5+01+cOgN4OnjXrVC6C/ttvwIcfAnv36hjbQQCdFjMzZuj+Vrp+HoSDx5qIoEegZsFN2PN1JErO5elSeLmucQC9TuCE8ODmdLQrBeim2JuN1h52EEAnqZCy83mojo1F3LZvIFYqWQ22v1iEm2kHuC9p2ZqvmbZXTcua8hp8cigB5anJiPnmcx35FaUq+qlkIBIryr5oaaYAuknyE18ZJN1thwiIAx51xcVa+azBwxhJ3rUknyWXGq0ntOTxYJIAZbA3nKW2Q4ASnl+Bo3+nIuffY0g/tB+977wX7qH9MMfPA0qxELLh1oMpk+msZhaylvi3vY9p1NRj068xqC0v08lI0fOBVB6GL1sJlVLB/MOlNOdp6rCMB6Bv8vWBINWIpJCdkAGFF1Tg6LFUaEq094m+jVy5Bk4CAQMo+puRpiJE9H2pHdYYVhRW48ujSSiJjUb8jq0sek5RdKq39SRysAFeRqdlXX41iMWczyyRZWrv+W7s/CdKKvDP0TTkHjyA7H+OtDps0MNPQOnnh/sCvCCyIDPCnomhYiuqse9wMvIotfvPQ+hzz3y49eyNWT4qeIiEZtOba+KKUV+q4XW1PfFR7D2VhpTMchbwqVerMWzpC7o+DVC4YKSbnGUVmcqSaSjXQB1jfxu4lBmXmZGJNWu0HBRklM7teklGzJqAjKl7wV42bMrKyvD6kpcRdzIKfp6+uPfee/HRRx/B3d3dQAfdGDmuPXMRdNQz2SyWtLJhjgi6NRF0KwC6aOh4yCfezzsctSlagP7xG/9AkttcO0gHd795OnxHjGLf05dYo9+vFKDXZlSAogV8ZrSupAMAelVDA56ISEH/qHyce+dN1lyJuweGPLEU/eRSjFIpWCqyJVEeYqalmls+u5z0YCvvr8s+PDOzDD+cSkfxxUgk7Ca5mJnwCRvJsgeUPjJIe7pbDdA5mQ2+Rpl7aV92Ry7zixp1HT7+LRaVWRlM+5vIjgInTdala/KR21h6KXvKqvgzIR+RkXmMvZ1Y3AcvfhpSLy9t2vJlRrvN1VzasgZ4fWMTjqYWIio8F9WUzvzJJt2wExnUyBdWo4tUjMlebrra/HxNHWN8b2mbAvwgSOIHZtZyG1g699ryONp4WHs2BT2z1Tj9+stoamyOfnLM3X3kUlzn5aqNiuvxFJhagJqU3WzLDrTRucgPey9mozq1XKd00GPm7fAaPAx3+XnArYvSQEqq5WVNKpxYWLfaRl2x6jRbY7JRFFOEi59tRlVutsH4O4tEGPHCaniLhZjurTLYoDF2EVO1x5ZuiFvVgTY8+ExaMf49m4WUX/cg/+wpDHr0Kbj5+LJMGjKSz6QaZGNmSmbOltcJLfuz689EZBdX48ybayD19mZypGLKOvT3BEs2dIJ2LiiMyy2a3sAVsnRoWzOO2O3s2TP45JNPERYWhuHDh+vqz2mtyDazBZZJZ5oi1LWX+fDBsnX499CxVkM1fvx43HPPPbq/G7s3TK2T7EmO9WrOVQdAbwdvm3XqZUTQLQHou1ceRVlJFUvTFEilCFu+ShuNv2Q57iJkejY/SK8UoJuMFHi7MEmiVlZfD9x661Ulifs2uxAZ4Xko+/0w2w0nE7u6YeiSZ0EpzsO8lRYzq5rUtOyqZHVJtmgXYvLxV0weck8dR9r+X9Drjnvg268/i4Zw6ejWRtA5hlO+/l4u2Gsv34Wnl+DomUxEf/kJKjLS4D/qOgTdNBVTvd3QxVPOK5djaVvsKatix6k05GaW68o8Rjz/EoJkLrjRy5WxrRP/wuVY9fl8kKQOnxkj07qc67Tldyir4tWkHJRlV6BbYS3KUhKZnBhn3CYecTSEeShZWjNZQW0dnoltDdA3BvlDGMdfi29r90NLP9Kmw8uJWeiRVImm/AJGCqZvve+cC/fQvqwWX+YjbyXDZ7LG0EblBvnmUmFtPZ6Pz4BPvgZ+pXXIPfEP0g7uQ+idc6EK7cv0z2Xd3EzqeNuj9CL54uO/ElCdW8bAmDKwG/xGjUbCzmbmbsrE47TPTdVfc34lXgrip+AzW2f3/ycqF2fjC5C4ezuTZCVCNG+VG271dWdEsObK4ex1ndByrLb+GoO80nKcXfcaPPr0Q68592KEqxwDldrNCUvApckNXGcntvFpa8ZJh3Ip3PPnz8fo0aN1zbT2eW5qPthyVo3uXo4vwWfvfoTjx4+3GqqFCxdi1ChtENAUs72p4JaDKI7/DjCLJa28cRwR9LaIoJPTScrhEpCnFHdzAF29YAp2P3MIxcXFBqyzQifAVSBAcX0DogJdoJY07/hdKUA3mbqkFPODng4A6PeycB4gAAAgAElEQVSfTUTo2QxEfNi86BTJ5Ri2dAVGuckxMIBS3C3TJrXX9MW/T2fiXEYJkn7cicLIcFC6IkliEDEYt+NpLUA3uTMuE0I20HZ2xreeS0dRapmOudxzwGD0vG0OiJ3bPUB5Ren49qQD/vnv8SgvpAXXWrh4+2Lgw4+jn0KKUW4KlqZImQ+XY/YoLRVfVYNXk7IhPvA3ZOdi4NGnPxJ/3KHrvszXn/mH0jgH+Sh189koQA8OgDC6hNd9zjLblNzjGvtjXgl+yimG35b9qEhKZKzt+qafacE3T+wxSsY3UD/lleBQcgEEH25hz0nvIcNZFL3fggehCuqO+V28zN4npuotLZVmupx78Eq/88kv0SjLK9CWAA0NQ8j0W9nPVO4gcVNhyFPLMYQ2q3zdQFwV5sxkhp2Nkyb+dToDFzJKEbvlS5QlJ4LKO/xdpGxD1xI+CZPrBB8ZA7a2biQX9/lvsSjKzkTkJx/oiBKp7jzERWKSh6Fl30wTCvvyEg12lH9oQ0F9oQDVZVV46qmnWDMeeeQRDB06VNcka8t26ktrUBPH/26w5WcCdZjLCNq4cSOioqJaDcvatWvh7a19HhiTHqTPTN0TtpZx2VFzr+V1HQC9HUbCrFNNRdB//hloarIaoFc/cBu+e/wnlGZlIuqzzfC/dgyCbrwZkz1dcbqsChFuAuS6a/XPObtSgE61m9XhRjSgjel9cgD9KpHEUQrr2/uj0RibyGqvOZOoVExmbKxKgX7dPUCEH5aYPaV16/dn/1/JiC+uYrVkddVVGL50Bbq5SDDR01XHwPpuai7OlRuyUD/dzRfD3PjZ2E2yk9qYxNhvp9ORkFGGCx+8C3VRIYYvXwmhi0xLeNXdlclnXa7ZS7SEIsaf/hyNktxcXNj8HtO0JiWDa93k6KtwYWnLfDI5lvjF3qJlHNGbqL4RmkXPsC46OQvQ1Nig+1+icseQJ5dhDPEUdHHT6dUS4eSS2PRWbnmvZ1eII4t43UWa4basf/xBej7Sk4uRueRZ3vYTQHGm+vMgb8iGEsGXoQwfkYERERKfUcSRyz6wZC515DHvR2UA8aW6jTyuLVQO5ePtjdt93XVkgcbaSZkklFHCZ+bIxTqq7w2aenz0awzKMtOZ5nfAdeMROPEmVndccP40VL36wMXbB7f6uMMn0NVkij/Xh7o8Itkq5+2SrZc9/H4sFTEFFYj67EPUFBYijDKNpGJMovdlf9Mp3dRhqj+nOnQ+E6okoDp0W7fqYjU++ysRpXExiPt+C4Im3Qz/0WMwnXhrrMw6syfSPC7wlJqaijfeeIMN05tvvslqrckuhwDX1DOBkaQRmawV0qZXc+5wGYJrXnkFpWVloIj5pk3aUrCbb74Zs2bN0jXHVD29KTJRZxehRZt+V7PftnAts1jSykY6IujWRND37wc++MCQJI4PoK+7D6Lh10N+g7Ea9HBUPTIf3z68BaXxWnbmoEmT4T96HGb6qPBneRUOd21dI3SlAJ2lLpGUCo/EFNUmMVbslg+dqwzQ84uqsP1IMgojziFpz242nYUyGUKm3Qr3Pv0w29cd3qRvbKEkmKmHjK3KRRAw++G3OGTV1OHchtchdJFj0OKndJq+HHt5VEU11qfmouHSeBJB3Cs9u0Bqos6q8lSOXUiM7TmShLSiakRsegeNdXUY+vRzkAmcWU3pldZD2stCtL6mDpv3xeqYqbuMu4GxuBMztZ9cApL/uVwzqYVtY6UfpGO+KiELTrUN6JdZg3MvrzDoNqX3UhmEW0hP9Jm7EBM8lOgd4qHTczcK0EMDIQ4v5AepNi4t9cTJBPRI0SoccKbs1h09Zt6Bxvo6uHh5I8xVjrB+PqwUgs+qTuWCnjWtjN4FIyzj+Ljc+dcW39M0NmLD/hjIq+pw6rWXdKd0FgoR9tyL6CaXMYBmTibLZEqvjcoqVRRX48u/klASF4P477cwaTW/UdcZuJURaiqkcOnvxVJZzZnJWnwLSObMnb89P//lYAKSK2u0RImNjSx7oJdMgrHuSrPjT+2y1ywKfZ+mJJdgb3gm8k6fQOpve9Fr9l3w6DeQ8da4BiisyjozVYN9JZlb7TEHuA130vVOSEhgZGjjxo3TXepy+WqqzuejyVgZ2EAvUJaVLVp1RD4aaxpAcnOenp5YtGiRjjiPNjA8PJo3m0z5xpT0IsMLdvCOuNrj4wDo7eBxs07lIuhtCNArHluMrQ98jNyT/yLtwK/oNftuePQbwADId001OKM0jHhQt68UoNM5qsPzQalQfMZbe3qVAXp8dD72x+Yh/eA+5Jz4P3vXAR1VtXZ3ek8mM+m9F3oHBcUCir2DKMpTsfv0WZ+KXewVbDT1qVhQQQSkQ+gllZBOeu89k0z6v74z3GGS3NxMuTcZ/pWzlktgbjnn3Hb29+1v72PwmDIdwderI34R9raY4+oIh8E823kGRWOlMfM1Uus2RcETYjr8tPssGju7EPvO68weZcx9DzEF87GuDixzyrVspQqxjUo4W1pgrtyJ/V+oXSgWY5//lQLzXrDx23t4YNyDj2OCox2muajHb2jmmObmQhGFaqhpxY+Hc7WEAm+Ex7SZLEjlKrfTucyD734wSI9CgnevLof8srASWaWNsPlpC6wcHJmavXYjd4eKU8fgM2sObJ0csYiEwSLkGlGo+s4uPJkxMIP+eVQAbM/UgBYifI0tQEw0S/LR1lR0FlD2dLWm6yE33soo3tT8bawxf5IPHH0H1yi4UN4Fg90jRysbkXisCCUxe1F65KBmM985c+F3xVWs9naCzEEn32JSgCagznsf6ChIqsu9LNY2ufl1+CeplN33hbt3IPy2OyEfOx53e8tBw7A2N4OFmZleOhWCwWwHK0ElfLHGZchxejq78eW2dMZkZOJobm7se0Gq5TPljjp5uPd29oCeB75G1oPGBEMNGZMh+2w6no/Sihbkb9+CqsQ4jL3/YbgHBGGxt7yPzaIuxxasPzaxcoe2rDp0N7TjP089hTaVCp9++ikcHNQMO2Nqpbnj8s2XbaQrLGWGlZfpMv+GbsOBapVKxej+EyZMYBn0p59+mh1S2/tcl7kR0qrRZx1u6HgutP2GxJJ6Dmg0g25sBp0s10g9V7sGnWXQL4fDFffzXo6O/NOo//dz2Hj/ZyjYsQ2V8ScxnixRPL1wr68bvjFXIcVm4GJBDIAuWHsarWDK0H3aMNegJ8SW4FhJPXI2b0Rt6hlmrUYWSrNljoh0sGXUdiv389ZzQ93vQlFAUvR0mGZ4FnKocxv6e2eDCmsPZEPV0oLET99jgRsK4FD5Q4CHo1HATNBKZ5IHiNo70q1T1YVvdmSgpaRYA0BI8Ij0B8bSgvuc+Jeh/bxQRKGKCxvwV0IxKmNPoIAJBS6GPHocE/5y8NYvI9J/ri4kL/QXj56Fa1oxo/n3by5BIYi69zxTierPx8scYD/JXaPYKwTQ7dLrBg1YmuoCpKFRhR/3ZzO1alKt5hppNJBWg5uVJRbODh5Sn+BCshvke9bXJRWhLf+8TgVtQ0KBEx9/Gmbm5mqBPLmdTvRkoWyZLgJrhr6LDN0v8Uw5jubUaMAYqZbLPb0YGKNGLgSW7nbs/7o2QZBqwoySjLJG7D1ZhNIjMUxUlnsnUCnQWC0tiqHmQTBIQ5RmS90UwIc6jxS/k5PBT7uzYN3Vi5TVq9BaVcl84ENlTsz5RB+LMeqfIMvMhCwoKajWmljJgqxUd25nZ4fPPjuvXWSMJZqgVo2RZXZS3AN0zG5lJ6g8gaP7c4rtn3/+Ofz8/HD77bdrTq1LAFqo1IGsfk2VRSDV/A513FGAPtQMGfD7kJMqlEHnA+gfLoHVtCsGBejteUmoffp1/HnvCkbJ6mptZX6Vfo72WODmgs/tOpCFgVluMQC63rWnw5xBP3Q4H8k1Lcj4YT2aiwowfflbcLOxwk0ergZHQ4nWfyFlySpLGrExtgj1Wek4u/FnRmsmevMdnq6QezvpXH/P9yi0pdWgu6WT9ykxlRduXbUSG47kaRSZOXVuCtKM8VIvNoxpPW1dIHDC10xJHOzo6TIk5tWyRSctPrWFr2wCnXUu8+Ab54XihV7X1oGfdmWh7kxyH0E4bkxc8MrT2gqzZA5ws7OGDVkqudhohk1MlCd4MuifRvnDIauR0Vv5GglrUa2dqbXk3BocSi5n7g7k8sC1iIV3szKgJd4KyCjYNkTfBYO1OtTtjvS8vPdPGhzaezT15/6Xz4f3xZcw7/f5Cmf421oPaa/FjeFCCFxqzzc39qzffkLD2UwGxrwcHXCDhwx2UXKQt7EhTdD72EjmkiH90WWfw6nlOH22RnMfyMIiEHnXUlzj5gJ/H2d2D+jSWlOq0dPaxbupvgBXl/OJuc1feVXM+aYqPhb5O/6Gg7cPYxFMdbbHRGd7OEz1GqBDIXR+wQDuYILCYg5Ix2NxrA8q1Xn00UcRER6OZ559lu1NCRhmrabljKTjYdlmZElMwol8zRgHFX36oO+2nTVtaM9twMrPP0d6RgazUyOQ3r9ZyGw0Gi1C5yBdBtJn4Gv6Cu/pO5YLcfshsaSegxrNoIuRQe/uBkh4gVNxHwKgq3ITUfvCR/j9tmcQ/+HbTNAlcvE96pepkz0+dOlCfsfARaMYAF1vL/RhBui79+Ygq7mNiYN1tbdjyjMvItTOhtG3dYn48d3/XE0O32+maCmVll6F/ZmVmoxA1F1L4RoWgXt93GAb4DRoTakuz76g1y35ozoN7o+qy/HF2KakoB6bE0vOl3/ccRfk0WMZfdPRyMwx9U8oU0TUee0SAjHGY8gxenp78cm2NFi3U5mDur52wmP/YbXFJJRn7MfxQrHSyS5uwM64YpSfOIqivTsHTKXntJkIuvZGliUKsrPmLX9p6urG4+mFA/YlgO6Y2wRiVPA1XcSlDLm2xu5zPLkc8bk1Gksp7ngUwHEKCMJ9fm5w5NMT6XdiwTrTKHmfIIexfRZ7fxJJ++qfDLQ3NOD0qo/Y4UkYTxuck8Cb3Xh3ncoU2tJqQYt93vtgnG413GKPcbDj5bS04Z89OVAWFyHt+zVsM2IYuVtZMoBuDPNDMGhjBPCXcm72HS9EekUTkj77AB3NTcyOlWxZ7/VWwCFUBisP3Rh3qpwGdNUOYjMX7KLzcaQc62DHfmVfBjyaujRBCnK4CF94FxPVjfJw0rs8Qag00MyEBGU7K5QgOj6plZNqOVG6H3/8cTZNxB6xjVALxRnSyHKQElp8zdLNboB1pSHnEHuf9rwGdFa34bXXXkNlZSW++vJLWFr1q5U3A2Nh6rLWa89rRGd1XyFirs+mbr0o9tzqcrxRgK7LLOm5zZCTOlQGnRegXwmHK+7j7UlbZhJql3+EX695CKe//FRjkXKpzBERrg5417EDhW0DFwtiAHS97USGEaCTyviOvTnIbWtH0mfvw8LGloGSMQ62uMjN2WBq84WWKfr5QDZqG1RIXfcVlOVlmPTEM3Bzd8cdXvIhLYOGuvUFPcBNpK7qbGoldp2tQsnBfSg9HIMxS5fBKTBYFAV3mh+KtpNAFl+jmmNT8Hk9VlqPhFMlKD92GEX7d7Ouzlj+JswsLNk8iBFYErTSMRFK52eHs2FRo2J15+XHjwy4ZL6XXAa/y+fjWjcXBEYoeFkFzV3deIwHoH8S6Q/nohamScDXTLXO8NCJIiSXNyJzw3dozMuFS0go+//k//wXbq4yLIr0ZlnUoZoQm8o2VAZahJpqU9WpsPZgtkZklVPwn+hkh6nODixrZkssAB3E0WiMQvWmxopSij2H29LLkZ9Zg6TPP0BHk1p1nQA66Q5c5U0A3fCyLW6Bz9dnfcvLxB73YMfbtTcHZ5vbmPc3AXOyWiQy+r/oPakHC0bQ+9rLQScl/OEas/Z5KNj6+dZUmHd2a4K5XOCSBEX9wxSw9tbP9YS+ka1xlfwikgAcTESXob//+aRJk1gmnZp1gLPe49ae1+7mDtDaka+ZqsAwpzH15JNPwsvLCy+/3FdQlYKWNkEuOjNsLmTrxZF4FofEknp2ajSDLlEG3XL6PDhe/i/ey9GakoC6Nz7Bj5fdg7Rvv2G0vIB5C1gWKNTLCe9YtEoG0Lsa26HK5LcTIVrcgIXdMAJ0oh5vjclFkaoD8R+8BVuFG8Yte4yJg83w0s3LlW/CBUFphKtedXp6Pl96b04f2593ZKK6qYWxK9TA7C142dky9W5jBdKEFmCmsihPOV6MmIoGFOzYisr4U5jw6JNQeHmLouDOXRBBcDqNbKlGrt6wu7cX7+9Kh1NbDzJ//h8ac7OZxRxZzZGv8VQSSpzmpfe91X8HIUqnPgtbozsyyAFU3T34dHcGLIrKcWb1KraVPGoMulQqNBXksb9z6tVkJ+UzwR0WzgOpvS1d3XiUB6B/HOkPWWnroBkCU3ke+k/P3pg8ZNQrmddxe30tpj7zMjpbW2BN3tdOdrh4hr9O2e/2oiZ0lit5Z99YK0Op7gnuuI1lzfjhZAHq0lOQ/edvCL72JnhMm8Fs1VwsLaBvuY5Q9tTUVKs3xOSgrrYVp1a8wqaD1g60hiCNjgmBrrANMzxreCG5O9DYiQ21bV82CpTtiH3nVTgGBLGArj4Ccdw9JSQeyrs2kvom1/H4FRXN+P14AVS1NUj+Sl1/TcxDK0cnFqRwNLA04UIQCOMYgS+99BLq6ur62KsZG2AVFBg2QRtOzhquu7sbjz32GMaMGaPxhad7ggSRSRhZn8YxFPj2sfJ20Dil6HPM/8/bjgJ0Ca7ukJOqZwa9/oO7YTVjfh+AXl8fg4aGAwgOfhvK0wmof/tj/G/2nczrm6sxXqBwRqC/C467mOO70r72Px7WlvgkKsDo0QvW3/J5G3LsAJkM+Okno88vdADys9xyJB+lqg6cWvEqnAOCEL10GaY42WOqv6tOWSG+4wuKfZgYdS2ntgU7DuWjraaaeaBb2jtg6nMvw9fGCgt85HDQUnA35GIIqbPamMBcFJU0YkusWnE7+89fUZeeiqnPvAQPmQtu9nTVyTJHl3kxZYGs1OomHDhSqLHLofGQr6+FtQ0WeskhU+gmfDXUPAiWO5gAnTWbqLx7c5D61Uq01aidGDgWAamXk4hguKb8QQE5qa7zCDkpu7rxCA9A/yjSH66VbRcUSKXM1s492chRtuP0yo8AMzPm/U4tklwupvrCQUcRTaGMoS4Kv0PdX1L+Xp3fgF+TilF9OgF5Wzcj9Kbb4TZxMgviyQJdmPexPk3wG6GnMKk+59V3W/KvpwBuVVMzyxhT6Q89A9QYpTtMppeIav/zCzLsPO31surSd2yGbE9Zzj8P5aGsqZkFtOWR0QhftIRZDE4mvZJxbjofVkiXw5SV3HfGFiG7pBHx772J7s4OuEZGI2LREgTbWWN+iLtOIol8k3QhCIRxGeNXli9Hd0+PxgedxmMIINWeB0FbYmIRjHAgv/814zL+zc3NeO655zB9+nQsI+wCMCaRPs8Cd2wq+aDgJV+zpHWIjvoOOj+EF/iGQ2JJPcc3mkEXI4POZZnPAXk+gF5a+hXq6nZh/PhtaI6LR8P7n+D76beCRF64LNAN7i7wDXJFp489/ptVgsau80JxD/u7Y47r4JY5ul53QVVzPnovB9BdXIANG3Q9jUHbUc3PHycLUNnSyvx9udr8mS4OmBgkN7jmR3Ah6uvIxOdMoaW3tOG3EwVwa+5CS3Eh0r5fC47CS+KBAZ6OBn9sufEJZkhG2D5F1dKOtXvOore7m3mfZ2z4Dm3VVZj+4usIsLPBfE+ZwWUO/a+vKZc97IgvRk5Rg6aekPpOFFZXSwvc4ulqtA88Nxd6C0YO80OSXlSPffElDIi2N6oXCTQP1Foryln5B4EyL1sb3BTpyco/+JqyuxuPpA2sQf8w0g+K2o7BhYBMzA+extbb2Y2/9+aoWUbvvQk7dw+MXfYoYxlNd3fWK4AnqNRswtmRLKUK2+OKYFXXruVwoNapIOV2pzBXvUGqEJXTWEFGMR8bEmz6/mAO6qoqWQCXsyG91NURYQ62eouB9e9bV70KpE3AuyA3QS90qo/95kguOhobkLTyI7hPnIKQm27DHBIUDSA2gW4CcezZIlp3fOXgdntTPEFA3dTaLzuzUNPWofleuISEI2rJv3Czhww+0W4au0l9+y0YwI2W87KV9D2HMdtzGWM6BtmIkb/3q6++yg5JJS72BKCNtMkUCuSzOu7+rkfGDMjIfTkwXVFRgddffx2XXXYZFi9ezI5qqbA1iFkjSPN3tjbKUcjI4Zrk7qMAXYLLMuSkchn03buBL78ESLmd+7ft24HOTuCWWzT/pgboV8Hx8qWa3moD9NrjsWj95DOsn3gdcjb/zny+6UN7m4crPGhx4eWA8vYO7C47DTTvR5j/E6KAc64zgvTe/h+hYQToHeVKbIwrRHVDIxI+fQ+KsRMQdtsiZrE2LkxhMJ1G77p7Ce4xXQ758oFMeNaqkPXrD+jp6mYq9lzwhj62ngEuBs8Bd34hytJIK5MmplfiaGaVxmKP6zOBMqIsXhQgN5hF0X/+TbkWf/+RfKRVt2jscjjxr3lyZ4SQKrERwjfa82Dq9WUJiaU4VlCH5C8/haquVkPzZwsOM6CrF4zOfLWvKzwnDm6D1Nrdg4fTCgY8gh9E+MG9sRPtBeo63v6N3sMEzkypkY3OHzE5qGxVIfbd1yELDUfk3f8C2ctN9NQvYygkgkRWllRzbGqtrrMLr6YUIrKglfleky4BaTSQkKZLWATu83Vj7whtFX9dxiCo2GxCQdy64kZsiCtCXUYasv/4RUNvp+C+t7fuiuWDzYmgF7oJqXdz/U9MqcDR7Gq0lJaoywVnzUbAVdcyFf9Qqr3Wk0khlDU2NUBGc0BZ/x0xechra9cA9AkP/xt2nl5Y6ucGZ9ISMbBcS1CjgpwyFCOnUaEtcpqcnIyvv/4akRERGgV3onJTBt3YpsqpR1ctv0YJ3VsGJXduuEGNIURu3NouNzcXH374Ia677lrceONN7CyG0tEF3V74GLcij+lCO9yQWFLPAY1m0PXJoOsM0O+C1YyrBwXo5YdOomvVSqyJns98TDn/WqLnySPlmhdfVdUfqKz8kWXdxWyCH6H+irXDCNCpJvKXpGLU1NQw+zmPydMQfMMtuEzuhOgod4NtpSjrQHYRfM1YpU9jr0tXVzNycp6EtWwVth8vQGNuDjJ//l5zWG3qpisFb3RUpB2sX5RxIGVOXkAyghTG4/UtOHCyCM5t3X0yxxzF/yKZIyZGuBn2QeQZbHt+Iyhww9dGUgyJsjh7yMmgRcXqCXs62jH56RdZN0kcTky7H8EMqgmA05iYPKTUK5H+v3UsWDX+4X/D3tML3tZWmBekgMreEgpHa1i52QtmStq6e/AQD0B/P8IPnsruwSl8JqjU29Wgws+H81BdV89Ewsj3nL4fpNYc7SfTK3hDx1JlXTjZUnoGthZUIz+xAoU7tqK5uAjOQcHM7UHbglDf+nM6rmAQ1wSeBe49lZVRhd0ZlSg/fhRF+3YyKjPRuu/xUcAhyMXgbyR3fMG6W5FAj7HfTG5/YgOu3JYK8+5enHpbXY/PBbRv9XCFV7RCbxApyCoygRKw/nNHWdOvD+WwYBVR/G1cFRj/kFrF/MEoH6MsSQXL4UbYB5wDo3FxcVi/fj0bb2hoKF544QX2Z0uZjdFsQ/ZeqFQOGsC1cLSC3VjdSyg0104igE50/9VffIOEhAR2qjvuuAPz5s1jfzZUMI9KapTxlbyPLAV+iOY/2s7PwChAl+BuGHJS9c6gCwP0on0nYPbNKnwTNheFu3ewjyzVDVENmdNYNw1tRiqALmivE+4KS7nt+VkeRoBOtS4/pZaitrwMKWu+gNfMixF49XWYp3BGxDgPvT+23CAo60RBCb5maG2OWLehSlWE7OzHEV/3GZpr25Dz56+oTU/VHD7yrnshC4vEUh8FHMkGjUcES5++CNYUjRAgKWxrx0fJRYgobWM0w9gVapoaNc5ajMbvQAsuA/19+8+RYPbYSPVXfa5H/21pgfzH3mxUqNqZUCLZqpGf7XiiMLs4wHGmtzGH77OvkCiSoZQ4sTpHVO4vtqWjt7sLce+9CWsnZ0x66nl2+KvdXRAx219n+iKJzT3IA9Dfi/CDV3vvoKKZIx2845tLApLfH8tDXUW5+h054yIELrgexK4IDZLpVSMsSF/kEwwV6+IacZz3t6fBvr1bA8gsbGzQ3d6O8Q8+DlcfX9xN7wkDHAhM8b3IN00JCaU4VliHwp3bUBF3EuMfegIevr5Mm8JYUSw6n2AJnIktyFX1KqyNyUZrZQV7FqhNevJ52MhkaqcLA8TRBMvhfBxh7W8a5XDcvdFY0IAfEovR1dLCWIecvRoFtCcYwTqk45syq4Sj3z/88MOax8Tb2xtvvPEG+7tY7CehDDLMoNbE4dE9EXzFSQDQuW+59nzcf//9mDlzJusKlXoYynhQxlew9wJfI7FaMwszI97oQ+za2AjY2QHWI2//q8sgh8SSuhxEa5vRDLqxGfR//gE6OvpR3IUBeu7OY7Be/yW+DLgIJTH7EH3P/XAJDmX0PG31ZKkAumBkNNC5bxS+pwe46SZgGETi2jJq8X1mGRqK+tZfX+PmgpBJXgbX+9BiX5moFpnq30ba95oB9KwncKLgPbQ0NSHhk/f6dHHsA49A5ufPPNANWXD0H6+Qiv9IAZJ/8quRm1TBxJ4a87KZlVh7fZ2GWcIJ5NlPcme1ZWI0U1UnJaHE7w7koL66imXQ3SdNRciNt4JqTCOJwjxGIcbw2TFM2UamtaYV6w/narQYuIUn9XtZuBfsx+tOX2zv6cGy1IEU93cj/ODTBZAHNl8zRSud1KxqHEirYCr2TGB07pXwnXsFc3jwD5HrRekVEgwd6cAl3/WoqW3FL4dyoaqpQfLXarVqrk187GkoPD1wp6/CIIeD7sZ20KKfr43Ue8qoEU8AACAASURBVJGvL4ePFuJ0VRPObtyA+qwMTHv+Ffi4OKsdPsa7wdy+n+exAW8LZVzF4HXYJMRoZF2vAV3i3aWksAGbE4pRFR+L/B1/a+jtCisL3BrhBbvIoa0G+x+4s6YN7YN5X5ugKNbR44VIrDh/P9A6Muqe+3E1UfzHehhllWjKgoGcOJw2IKU69KioKHZJxXRe4M7FdxMaBHwlAOitKTXobmnHI+cs5qivTz31FFNyp2YM8641uZqVUvA1WpOZ2+inDK/X809zReXD99+v124jtfEoQJdg5oecVKEMOh9Af38xrGYuGJTinrH1KBx/+AqrPKei7PhhjL3/Ecj9A7CkX/RfKoCuFzjhAPowiMQpk6vwbW4ls5Uie6mAK6+G9+xLQfV1gdN99LaI4G4V5nsdVwHwBQEpCkqLDpGAn763p0pViKwzz+NQyatozDmLzF9+6HOIyU89D1e5HHfSvTHdeGstwRrDERL9+PVYPqorW/pQ2yljOvnp/7K5oOy5E/nZirD45CbXVDNmqgol1h7PQ3NBPtJ/XN8HgPn5OsMmRHfRo6HuxZ72LrSerubdjPxS7Sd6DHUIyX4/m1aFXVmVqDh1jLGMwm5dBMW4CZjqbI9pYW56ZYo7enrwwDmAPkv5Fk7av8rUz98J94WfmQVoAcLXzO0t9QoESDYZ5w6c3aDEzgNqe7m6jFRk//Ergq65AZ7TZzF7MY8IuV7iaNoiS/37PtLXn28uT5wuQ1xeLbI3bkBdVkafTaY88xIcnZxwT6gnC3Lr2y6U2msqf8lsbkPKmi/R3lCHaf99jal1Xy53Fk1VWgiQiBEk1vfaDLb92fQq7MqsRMnBfSg9HMPKHJwCgtj3wo6U/PX0/qbzmHLQUnseunp68cuZEjTkqcUzz3yzkgmqcq4Wi73kUEzxNHjNRMcUZFiNoGCgtrq6NkBfvnw5AgICQEkXu4nuogWShMrhDNLqEBmgc1l+pVKJZ555RnObvPLKK/D392d/t5/kAXMbC4MePUFBXWJ1OkmY3aa5uuoq4N//Nqjvw73TkFhSzw6NZtD1yaDv2QN88UVfkTgC6O3twK23nheJe38xrGddA4fL7tVcDk4kbtzYrUjcdBgev63GR7YhqE1LweT/vAAvuRy3eMnhMOM8CJMKoOslDjSMAL0+rhw/FddoBHC4xSfVk/le5GOw2AldBFP19CSAnhn/Cg5XvYCa5ETk/r2J2e5RLbq9pzeCrr0BfjZWuCbIHXZjjc+emmLW7IedmWhs6+wD0O3cPDDhsaeYONwsb8oO6b/oFnoXdjd1gBgbfG0kPW/TM6qwL6MSFSePoXDPDgRfdxM8ps7AHZ6uUATLQEJ+YjVtoZ3+x6QsmRgBIUP7+snfqbDq7tVY7U164hnYyBVMpds54rxOhy7H7+zpxf2p+WzTOcqXcNRBzVJZEe6LAEsrKBP5a+xGml3Tf2x/nyhEYXkTcjb9xr4b1Dj9kru95XAZ46ZXCYjg9bc0F80xQZdrpMs2MYfykVLbotEk0N5n5isrYGNhjqXj/fRS7uaOISiGZCKBGvL8/ntvNlPwT/hwBaydnTH+kSfVnt8KJ9GuV1saZeM6eS8JWTURu8IUWnJ8KQ4V1aFgx1ZUxp9i5VByD08s9jac7i9Yg29twVhsptD2Z1UiLa2KMc2okSUpWbOS4wkFHx8I9DD6fjBVBW/ta0QgtLpaHWDlAKk2C1WMayUUzCfQS+BXryYyQOcCKZWVlXjttdc0Xfn4o4/g5OzMKOj2VPZjYBJKUFC3f0msXhOhw8ajAL2Xv7hAh7n7/7LJkFEPLoPOB9B37ABUKp0B+tiIv3BiyxEE/L4WK9pc0VpVgekvvcFspK7yde2TtZIMoOsjDjRMAJ1qXCpPleL3inoNUCW7FLJNWegjh9csX6NuN72E8Yw6k347E8U9/fgbONrwtAaURS5aAllktOZAFKDwDHeFlaeDfgfn2drUsmZ03TfvykJpe1+A7ujnz5glU5zsMS1Qrpf4lS6TJBSoGMnM6e5jBciqbNYEKziRQFaDT8BUWx9Cl4EOsY2go8MI+by2tnRg/Z4sjXUSEwp89iV42VjjWg8Xvev+iEHT2dsLc5gh++wyREaup/JBTVPGVvDO0kgHKbQ7RYvS/+3KREvX+fpr+j1qyX2QhYThX75ucCCWiZ1+dMNB6cwjzCzqf0F6u3qwZ18uslpVTNWfbBip/Cfp8w+ZcCAJCEY72OLy6f4GPSMEfgcN1BiyCBfh2ex/CMry/3ogB9XNLYj/aAVk4ZGIXHwvyIZ0gp4K/kLdE9SoMUAhX4KpYIc8cagAcbXNTM2eVO2nPr8cHk5OuNmT1lHuBmWPmdVaXCXTQhnQ6JmgmtsRpvhT337fk41KpVqnhDQYzMzN4eDjy76ZpFcyy1dmmICZ1qBN9RupHVwnUbhGqlMGGDgNiAoWtQyMjiv0bqDf9fZDFxmgc7oJOTk5+Oijj+Du7o65c+di/vz5bF6M1ZMZUbHAUYA+CtDFBugN790Jq4uvg8PcezSvOy6DPiZoE2K2HUHkpvV4rcoCZpaWmPTvZ9niYo6/vM/LRSqArpc40DABdKLbJhwtwolGJcqOHERxzF62+KBFyD3BHnCdbJxapOCig5TzZTZSrSMEj0sZ9LSD7+NY62MoidmL0iMHNVS9MQ62mOJsDzuZLWwj5KKIcQiKAI1A1qyntRO/H8hBpVKF2Pde18yVPHocwu9YjFlkH0WUZpHtrmjBT+CUr5HoCwlNjUTbticb+S0qxL79ClskEoWVhLCY6JEE9V5CPq9iZyJ0nc/8gnpsSyxBRewJFO7azqjtRHFnVnt+rkYtwDIzlyEqSq36yzVSqSW1Wr7Gyl9GeEFO/ao9XYmf86pYloz8r7k25ZkX4SaTMYq7IYI9yqQq9HZ084/dALE1Xa+xvtuR0Oe2Q3lq//f334KtQsHEEzuaGmHl4AgzCwssivaGZ7QBqsq0CO85VwbF0zHKQNHcjnTrrG3D2kM5aCgqYCwCn9mXwv/Kq5mIKrNfDHcVpYvk8kFuH3zNJlQGK7eRs9fi+kSB5i+3p7O/0ly0lBRhxstvwcfOGtd4yNQe2AZmDAUp/gYCf1EuzLmD0Prtq71Z6OnoQNz7b2oOrW0xF+znAttQ48qhBL+R1hZwGCE2gbYTzX+eegptKhXCw8OZF7qNp6PR4+a7VkL3hN6sEpEBeltWHbob2pGUlITVq1fjzjvvxOWXX64ZhrHfcUGxQKmFE0cB+ihANxqgt7UBt92mobgLAfQoz43Ytusopm/5Hi8VtMHRPwBjlj6ozhQGK/rQ86QC6ASKSFSCrw0QB6Lb48YbJReJo4/OrqMFyG1rx+lVH6O9oR5Uf+2uUGBhmKdRi3Iap6naahFAT937KY53LutD1XPz9MQiL6optYN1kIuoIIEyhoNmCIa5Hp/oWT8fzUN1fQOSPnv//GLjojkImH8Ns9iLIns1EandGmBmYmJItOjcui9nAIWVvL5vpwy6BJYmnBou37vALlputGuAIQvT1JRKHMiuQtGeHSg/eQzjlj3GskP/8nGDrb+TXkJo/c/PB9CFFl8OUzxgZmVY7Z4hY+fbp7m6FZuOF6Cpuxt16amMzsq1ma+9gwBba8z3djVowSwYoDGiblGssXPHoffEH8fyUaFUMoDOZY/pdyszM1w70QcBQa5GvScF1YpNIFDTVNKM/8UWaErASL2fVPxv8XCFR4AzbAKcRZl2U3W40B5cWXkT/jxRyIB52ndr2E/cs3B1gAIEmgxtVPpEWVpTeidq94Wsv9Yey0NbYwOSVn6k+cnv8nnwveRy3Ogug0+Iq1HvSTqokHYPBT+0yzENnWtD9tO+Px979FGEhIbiueeeY4cy2Jt8iI7o5Xw01KBEBOiM8ZFYBQqmUA0+WRQvW7YM06dPV8+Hn3HfSzqGoDWvu52oujgDpm4UoI8C9OEE6P52P2DrkVhcuuV/WF7YCsXYCQi7bRHmyBwxrp/Ps2QAvaOb1WTztQHiQBxAl1gkjhZg208WajIk3R3tmPnqCrhYWbLMiLHZgY6SZhAViK+J8RIb6p082O8E0FP++RInzO5lok8k/kR0Xg8XF0bVkwIgmFLWjKKzq0/mo626Eme+WaWZJk5/gBYbftFuRqnRDjb3piaGREGqX2O0KKwRUYi88x7GIhjv5Ww0ZZFvHgR9f0coW5YUW4IjJfVM1b/6dAJjGNm4ytU+8EYGDXgBekoNKGjJ14zNPhj6XtDe78SxQsRVNqE6MR552//qc0gCJROd7DAjQG6QajUp2BN1mheMmFC9cXtZC9aw90QVE8QiXQbSZ7hc7oSIYLkoDBthnRJPmFmZi3E5DT5GZVYtNqaVoSoxDvnbtyDsloVQjJ+IO73kcKVnVYQSKLYgr1CCaK18zcrbQbRAgMETASA5tRKHzlb1EQykZ8HD2hK3jPPRS0Syfz8E34khLnoJMRozxsH2VRY14rv4IjSdY1Jw22kLRnpN9ICFo/HiXYIlUCPEsGk5Vc6G3N3djcceewxjx47Fk08+yf5NKoaHXs5HQ110EQG6dhkCJ5j3zjvvwM3NjQUrjWGScMMQdP4RyW9+0CkbBeijAF1ngL53L7BqVV+ROKpB58ugz74eDpcu0dx3HMW9uW4VcvKyMOG7tfiouUtjDXKVwhlhEz1hKTvvQS4VQNeL5jxMAJ0WBetO5KGruxenVrwC58BgRC9dxhRqrxrjbfQCzFQtQ9paCpD8z2rEWt2NlLVfob22BtNefI1pEsynelsJqJWtKdXoaR3ENsOAOtahvkdCv1eercXG1DLUpaUge9Nvmk0JmMoiorDUxw1ORO221a+2Vpc+mZoYEkWqvz2ah4byMqSs/bKPx3WIv/GURb45EcyWiRB91+U69N8m9lABTlJt6e8/oy4zHVOffwWezo64ycPVaKtBPoAumDEbqxBloWvIPNA+VPrzy+6zqOvqRtJnH6CjWQ2cHLx94H/F1XAJDWMZM7/x7n2+HbqeT5VVh66Gdn6AbmQwRNc+DLUdZYmO7MvF6eY2jdOF/+Xz4XPJZczhwy9c0dcadKgDDvK74HvRBKjNBYnl2FpQg/Jjh1G0fzei7loKl7AI9o50pGvlIk6ZlpCIrKWbnSQUYn0v2cmjhYitakLip++js6WZ7U4AnSw5b7ooyCAdAq4PgsF8X0eWlRzJVpJZg83p5ahKiEX+P39rusIFbO4d5wtZhP4Wc3xjEmTYjMAzQeyB9gL1O5DE4UgYbvLkyXjkkUfYv5GQrhiBif5zIWrQSkSArm0LSGwCdw8PvPmmuuzBQiRXHr0Yt2I/GKMAfRSgGw3QW1uB22/vS3GffQMcLr1bc7sSQK8vj0FK+dvoqM5H+KrV+ArQqDRTDaHPDJ8+UXqpADp1Sojm7DjD+/xjNkwAnRPH6lapEP/h23CNjEbEoiW4iGqQx3gaZJmi/a7oqleBaEp8bSR9bltr8pC0bw0SrJcg4aN3YO3kxJR5xzja4mJvV+ZtK3YTBCRS22b0G8yJ2BLEldT3UXC3lSuYAJTc0QmLIr1gFyXOYqP/PJqaLgFlRr6NL9KAEM5mUCzKIt99JBi4creHTYiL2Lef4PF6Orvx5TZ1bWnGD+tZlmjm8rfhbWuNaz1lRivL8wF0QZXaSFeDgK9Yk0bMoq8PZhPfFKfefoUdNijSCZ6LXmR/drYwx11TAmDtbxhoEMoWGuTxK9bAtY5DtdffHMphQIwAGbXQm26D28QpLHssJ/V6ETRERtROaIh5a69T4UhcMdKVKhTt24Xy40cwbtmjkPn64R4fN6MDV9qnF/SElzpjpsP9QwGbg/tykdLchtR1X0FZXobQm++A24RJoERH5Gx/kI6IoU2I0msKAYrMpHLsya/RaNZ4TJ6Ghpwspslg5i7Df+ZHwdyI8WvPm6k9E1wQ7ccff8SxY8dYV4nOTbRuljGmrL4EmiGCtqwKO/2cI0QE6FwwqaWlBc8++yymTp2Khx56iM0LlQUa+l3QvgeERPLMpNYiGAXoowDdKIC+cyegVOoE0Bvy43Cg6lnYFqZh7A+/MIA+4+U3mVDcsihv2I/pC8YkBeiJlUydkq/1UaUcBoBe29qBX3Zlob2xARWnjrO6U/rY0kf3UldHjJvgBUuFccI0JDJESu58zcLRShL6sC4LhJaibMQeXYcz5ouY4IssPAKRi5dihosDJgW4Gk3t5+uDKqceXbUq3u5RKYHYSuFC87Bpz1mUtrRrAPr4hx6HvZcP22Wm3BHTLwow2L9zqPk3NV2CyowabMwoR3VyIvL+3oSQG2+F+6SpTItAQQruEogzCdHXRsJu7mhcCRKL6zViaJZ29kydOcjOGvP85Ebb7fEBdFO7D7TvW1VJM9bGFqCltBhp366GnUKBOx9wR7qtWoD01ktD4OdmuLtDe1ETOsuVvI8KCTNaeRl+7KGeP11/T0osw5GCWo1oIO03ZukyOAUGiyqeKPheDJMZ/Q3Sdbz9t+to6sCWw3mo6FCXYeRs3oja1DOY9O/n4CKX425/N1GZViOaMdNhkkirY8f+XOSd06uhXSY9qa5BfiDIg7k8GNO6m9rRlqG2L+vfxMpKGtO/lFMliCmtR8GObaiMP4kJjz4FO3e11Zf7JA8sDjFu/H3ePwJrBQrekg/4cDVtoKjtf+7l6Yk333oLUiZaRLWcExGgq3IaQMGDiooKvP7660y9/a677mKXRKzrM6SzgZS6RaMAfRSgDxdAb8pIRUzzY+iMO4TpO/Zg+1XXwmvWbFZDeFG05wDqlJQAvTW5GuT9ytfI15H8HVkbBpG4Q+kVSM6sRvJXn0FVqwbRAfOugffFcxiFMWCyl9G0JUF7sRH0Nz17NBlFRT8jofnqAbWVkeFuRgu98F1fwXqqYBdYeQzPR5c+uHv2n7NO+uozdLW2MjBGjayDps8NEi0TwDcPglRGEiOTQJhOaDGTl1CG7YW1AyisJI7mME4a6p6glY6tJbMrGq5GSuqfb0uDRZe6zIUaKXRPefYlRNrbYm6Im9F2e3wA3ZRFsYqSKrAlv1pTAuIxeQqum9/KAHqRmzWenxkCTxvDfak7ypXoKOKvNxYrA2Ps/bNlTzaKWlR9WDaTnnweNjIZHgj2NEgcj/e9KBCsoEzUcL8PuD6eSS7HwdwaxqypPnMatanJ7KcZy9+Cg7UV7o7wgl20wthp1uwv+K00Acs5AkubDuWhQtWB2Hdfh6OvH8bc95Da5cHXldGcjWm0LqL1EV8boNFjzIkM3DfhcCGO1TQhZ/Pv7F6Y/PSLjHnHnIAuC4adjXjlYKZE99dmdmgD9FtuuQULFixgzwAFUKRogveEnSVIq0TnJiJA58r00tLSsGrVKqbeTiru1OxEZEMK6XPYT/aAubVEQqqjAP3CA+jx8fHYsGEDDhw4gPz8fDg4ODChiJdeegnz5s3T+TnhNhQdoL+7CFZzbhxAcW88cxb72pahJzYGM3btw47rbmJiN/PkzoiY7AXLfjVkUgJ0ofpbolWb259b9A1DBn3v8UJkVDT1WYCRry352y71dYMzeY9aaDsX632JBRVJyRSZ2SkZaMuif2/Ue1CmYvPeONjXb8LPn2ezf9OurfQf58GiwmI3zjeT77jDKZhHmYptRwvOq5a7yDD+4ScYvX+2j6tRSry6zJl2PVv/7SlzKLa121B9Sj9ShH3VjSjcvQMVp45h/IOPQ+7ji7tIwV0iQR5BPQpzM6Mp5UONWfv39noV1sRko1lL/IjYRcQymuBoh4up1MXI+k8+gC5qfaE+Ax5iW/I+/2NvNio7OpG/7S9UJcUj4o7FmB2cxAB6mr8tVkwMgru14QDd1OuNqQZ/+4FcFLR19Pk+EDj1trPFLdP9xRNH06pvHfA+8LQ3SnjMmNti38E8pNcpNXRu7lhczfWN08SbAzq2oOXcML8T+OaNynLWHs2FqqUFiZ++pxHavUTmiGhinYUZaS8mZLlnZgb76YZbuBlzH3DXhtH7W9qQ9euPaMjOwvQXX4e3owOuF6EEqH//tGuc+/9mrL+2vnPBlR4olUo888wzmt1Xf/MN84F3nKlVmqnvwYfYXlRbVhEBOifixwUs5K6ueO99dRmQmMCZ2KfEQuVretvM6XNtRgH6hQfQb7/9dhw6dAi33XYbpkyZAqq/+P7775Gamoqvv/4ajz76qD63AIYLoFfG5eNoz1JU/7QO1+QXYMf1N8NjynTmYxo103eAEJakAD2zDhSR5H3gtCNvEgN0evEdi8lHYnNrnwUYLT7szM1xDym4R4pTg2xqqt31hY34I+4Mek9vwOHtamVSUiamoM2d3nK4T/fWqZaup6cDZmZWOgcYTAWYdpS3YPWJfHS3tyP+g7fgEhKOqCX/UtP7g+SSixFRfS/VH/O14V58UNYq6WgRjjW0nM+M/Oe/8JC74jZfNUCXqimFyl2G0WasprARvyQUoSY5Cbl//8mGywH0ac4OmDU7AOZ2xmWH+AC6EEglm0ObEOMW/IZeN1ocf3M4B+11NTj95WfsMOPufxDT3Y7gtOO9SA6yx2dRAXCzNnxOhOqNLWQ2BinDGzpe2q+6oxN7a5rQ0t2Ni2WOiOqxQMzJImQoVTjz9Uqo6mox8bEnYSN3Y+4G068I1vm9N1S/uhpUUGUN8j4YodprCqDt3puDs60qJH3+ATqa1GwHzgP9WncXhNDaQeQMlqB6N3mMWxhe4z3UdRjq97b8BqxLKoayrBSp67+G9zlLzqsVzggOV4jCdBixjOEQg89MrcSes2oHnvTv16KltAQzlr8JP1trLKASoIlqqrtYjRweyOmBr1ESRwqNnMH6ziUWsrKy8Omnn7LNrrzySixcuFC0emuheVOKZcsqEkDXDhpwAN3d3R0rVqxgdfiUdBKrCev1SKjTMgrQLzyATuIQ06ZNg43NedXStrY2TJo0iSk7VlVVwdJS90WLUQB91y6gpaVPDXr9OwthfclNfTLoJSVfIftIIVJs7sHZt5aDqkS2zb+GfVzmE0C/JGCAuIWUAF1QGCnC9XzmVmKAThSqdbEF6AZw+otP0F5fh/A7FkMePY7R2wNn+IpWgyyo2i2R+qfQCzIxvgTxBXmo2vEtMhLr4eQfiKgl98HexoYFJux0DEykpNwAH5/HoVAs0Ol9LAxM9RQ80emM/Bulp1ViX1YVCnduQ0XcSfheegX8LrsSC9xcEEQLLW9p619FrSszYh5oVwJKBERIBEq98CrG9JfegK+9La4LcjeatinUPcHo+DA+F4UZ1fg7owIVJ4+hcM8O1uWwWxdCMW4irvSTY+wMXyNnGeAF6I3tUGXy15yS+JhYAUJ9O99c2IjvE4rQkJWBrI0b2O7TnnsR4823IMbzPhS522BldADkVrp/6/r3QajemIIhelE39R1gv+1burrxcnYJ6jvpawAiNuF5ZxkSkiuYB/yZrz5Dd0cHJj/9X/b7/RP94BjqauRZz+9uSnPB9Yr6tPVgHmMZxb33Bno61VksznrwoYn+kgQyTU29W/sip8SXIqaoDmnfrUZLSTH8LpsH30svx60ervAaR4KBxrPOBO0HRaQO63Pzdrd14te92aht72D2k6VHDqKnqwtTn3sZIXY2uDJQwWjNYjbBzLFINl669pfTComNPYVvv/0OM2bMwP333cey5zbDUJonWoJHJIDe3dQBEvylxgH0wMBAvPzyyyyQLea7W1CnRcq5HwXoFx5AH+yBJhVDiqwVFRXB399f1+feuAw6H0BfsRDWc2+BwyWLNX0oyfsGmSfzGTWRA+hcDfp8H1dEz/Ib0F8pAbrgA6ftfywRQCcaXWdpC8oKGrC1ukHjg01+x7T4oPZghLeoNGfBoMQwi6PR+Pbuz0F+fRlS1nyBxkaw+mszCwtcR4GJCZ4DSh4Gu6EJoHt43AVPz/P3m9DNLwhMXWwkU03v36dDx4uQXNGoYU6Mvf9hOPoFYClRuqMVOo9f5we934ai1pUZ2olz+1Et8G9xhahrbUP8hyuYjRYp2VNd5ewwd0nV1AWfi2EUx8pMLMeeghqUHNiD0qOHMPa+h+HoHwB3K0vcMicYtiKUe/ABdFMVkCxLr8afmRUa32tiW4Vedz2i2n/F9sBlqHWyxBfRAZAZAdCp7l8ZX8l791LJD/PRlUAVme+EB2qb8H1pXyHPuUoztJa3oLezC7Hvvc5246jdN0zyE1WjQ3AuLMxEFWLT9XVBAlB/nChAZUsrExHl2oyX3oSZlSX+ffM4Sa6PKTl99J+rUzH5OFXfgoQP30aXSoWx9z0ER/9A3OutgPMUT1EC+pz4Ft91sg2VSSLYOdQ90VjchB/iClEZewIFu7azzW0Vbpj4+NOs/vySUDfYhokXsOL6o0yqQm+HOmjWv5FGiRQWqHzn4iwh9+zZg02bNuGJJ57A+PHj1fMQKRfFyUHoGggFsvuUhQ51IUUC6FxpVn19PV58Ue3qwQF0ElU2ttRDexiCWgRS2rGOAvT/PwB98eLF+PPPP9HQ0MDq0nVtRmfQm5uBO+7Q2KzV8wH0zLXITMzhBejzgtwwZsrA+hkpAbqQMNIA9V56SGQy4KefdJ3SIberyapFQn4dslrVauKn3lKLg1na2mLqC69iqrM9ZkzygZWIytWC4mhBzqLVMg45+HP+xn/ty0G1sgLHP/wMdp5+DJCF2dlgrruz2i5Ex5p4fQG6oDCYvaXRStm6jJ+22RuTh4x6pcbfmRbe1O73Fdc2aLD+CC7ILc0lpZX371NzTj2+P1OCpvxcZPz0HXxmz4X/lVcxdk1YpJukatqmouR9+ngxDlc0IH/7FgZKaeFJC9Al3nLIJnuKshDkA+imKoqVE1eGHcW1KD0cg5KD+xB9z/2QBQUygP5n2INQ2lrgqzGBcLY0TqBHMDOkrUei64Nt4HaPpxeiqes8EHBq60ZUqfr7UH78MIr27WZ/yhdWtAAAIABJREFUpveEtZkZHpgTIrqKtCC1WyIdCKHpIqD4S1opamtqGMOMa1SDX6mwxbtXRBk428K7CQLUYQza9e8laRLEHCpAWksb+24QzWLyf9SMigcCPUR7Z5uicGRJejU2Z1ageN9ulB0/zMbs5B+AMfc9jMlO9pgR6Q6bAGfR74c2gXLI4XR9aU2pYbo9v//+O/bv38880LlEnF4A2cAZ4gIEfLuTFSy5nujUaD29dSug4/pusGNy69lv169HbFwc2ywgIADLly+HdYCzqAxEQTtWKfU5RgH6/w+AnpGRwSju119/PYuuDdbKy8tB/2k32nfJkiVISEhgNe0D2rJlwPr1wN69wKpVwLZtGjAOyqAPAOh3wHrurX0z6GfWIzP1LNKs70bOildBuc7tV10Dr1lzMD/SA9FjB9aYSgrQy1pAHyG+NkAojB4SFxdgg5pmaWxrr2vD5uMFqO7oUqvEm5lpAHrwubr8azxlCLvIT9TsQIfQmEXyjBSam9bWHNjZhTLg3dXQjh8O5aClKhexX62H+4TJCLn5dswhoRsvZ72oavoC9BH1tTw3QWTdsWtPDrKV6tpKc0srTHziGQTaWuNKN+dhE+0Tra7MyIeiKKEcWwprUBl3EgU7t2mo3YvJ53mcGyycdfz4G9CPkX4uqMt0P8TF5ONkgxLZv/+Cusw0TH3+FXg5O+JGD1f1/SBCJpcPoAuKYo1Q5pTmI+1wESirfN5O6Uk4uCkYQN8Q/TC6LczwzZhAOBoJ0IUWnsPpha4N0C26ezG+qA1W3b3sji7YsRWV8afYnwmgW5oBD18ZKbpqM+ezzPcYEWXUWA0EfR5PohfXJ1RgQ2ktWkqKkPbdGs3uM19dgXxPG3w2J1KfQ+q8rWAwewTt97rqVdhyvABlbX0V3Mc42GK2v1yv76bQZAgKR46AgCj1NetUCXaX1qNw9z/MjpaaS0goopbcj4tIt2WCl+gBKzqH0L0wnKKyXPBs7Zo1SEhMxCeffAJHR0c2D1KJqGrfI6rcBpBeCV/Ti1UhEkDnmG/btm3D9u1qRkWAvz+Wv/IKs+cV0y6XnjuqQ+drdB46nyRtFKBf+AC9sbERF110EQPeycnJLIo0WHvjjTfw5pvnqWLa2w0J0PftA1au1A2gX3YbHOao7Q6olcR/j8yzGUjuugUFn77XB6DPm+CNMWF9PdBpHykBul5CYSID9LOny7Err4aJQeXv+Btj73+E0bwdfdRZZALsD80Kgq2Pk6jP/EgrFhOQjoz8HtbWboy2uf5EPtpyk3Hm59/hN/dK+M69gtHb/fxcWE2Vrk1vgN7bCwKmUK99+zQKHjjMEE9cZLAx9HZ2Y+veHBSqOhD//luwdXPDuGWPYbyjHWa4O4tmnTTUHLYmV6FHNQh9T9tucKgDGfE7AcS0I2owxi2+aC5kvn64R0IFd67LnDou3xDI55b8VKVulMU+eigfp5vbkP7DOrQUF2HGy2/B184aC3zkot0PmZkPICrq2wHDUcZXgAS5+JpYwQF95pDKL+KOFeFUoxJnN25AfVYGC1hY21ohvOtHbIj+NzvcmrFBsDdSsEuIQWHt62i0cr6u49YG6B6NnQis7gB6elGTchrlJ4+htVIdWCeAbmtmhgdvGKOTiKau56fthLKFUto48fWRtEL2xxYzltnZ3zag/myGZjOagzOBdlg/NUyf4em8rSkE7fg621HWjO9OFaK5rpYxCuRRYxG+8C4mGDgxVCGa0r6gTouUgGSQK0TvpqTDhTha34y8LX+i+kwS29IlJIzp1lwud8K42f4wszKOTcN3eqHsqaWbnSQaCP37oe028sEHH7Ay1q+++optJrYg2mAPiWhMM5EAOke5/+uvzdi1S80uIkYBMQvIatDCUTzLOSGxQDqPsdaGg76YRgH6hQ3QSRzu6quvRlxcHHbt2oW5c+cKfoSMyqAPBtBJWXXhQnVWfd06MJG4/gD9yA/ILE5DfON8lK75oi9An+6PMf4DlYKlBOhU20Y0Nv5FeT/lYhEBOmWGDh/IQ3LjedV214hotvjwmDINwdffwnzhL5kTJHq2QltUo/+4yT9TTC9ZvnnVBuh1eQ3YcLoYDaePImvrToTceCvcJ03FHZ6uUATL9FKi1RegU98ElbuHgcpJdb+bYnJR3qZC7DuvaTIBU50dMIUYBOMGBqx0Xl3qsaGgGJDIH7nBukVzcepEMeKblBrrnGkvvApPJwfc7O8G+0niKvP27wexOSiLytfI5s82QqLouNYJSRfhANktnlPr7mprZf7noXY2uCJADrux4twPgwF0UwjUaM+/NjgjcbTOtjYmBmXe24VgszX4LewFtvm6sUGwNRKgCwVoJM2O9LvhtAF6eJkKstZu5vNMfs/ajcBpr60Fnrp2jB5Pum6bmhK1u72kGWtiC9DR1Iikzz/sM4Bx77yHdH87/DQhRLeB6bmVkL3WSDobVJ2tw2+ppahNSUbOX78jYN418L54DgtsB0QoRCtTE9RpcbIWLVOv62XpamzHgZNFyFSqkLnhf2jMU9uyukZGI2LREsyf5scs5qRogusmKcGZ1mC09WLITpkSCe+++y7bQmxBtMHmUDBopU8gk9bTf/8NmBvnhMAxCn755RfmakXNz88Pr776KhymeMLMyrjja88DWX5SKRRfM7exkG6NMgrQL1yA3tHRgRtvvJH5oW/evJnR2w1pOteg8wH03bvBFL4IoD/4ILB27QCATqA0Z88GFNam4Ej2eNT99UdfgH5pEMa4DcwWSwrQ9VmUiwjQ6cN3+EQR8/GMe/d1pkLKtaBrboDn9Fm4KUCBwGk+hlxKwX0ERcFsLUGCJ1I2bYBem16DnzPLUXl4BwoOHmNRcIqGL/RyhVuUm170JEMAuiCVcxiEX8jS6LfDeahqbELCJ+9CPmYcwm9fzKyVxvnJhgUU0rXW2c1AwhuDANKfpwpZyUcyKVWr2jDl2ZcRbGeN+aEeks+FKYikUcBwZ2wR8ts6kPDxu7BycMCER59iInkXhyhEEz/io7jTpRV0eKASAwfDvcYNuXVIlOf3xGLUtrcj7r03mXjimH89yAC6n/Xn2BSoFkxbOzYIdkYCdEErJZHVgIXmQhugjy9shW1nL8qOHERxzN4+uxFAr/CyxbsXhxsytYL7mJJOSWVWLTamlaE6KQF52zb36bff5x+iTG4tGUAnQDiYs8FI2O9xg89KLMfughqUHjqAkkP7mS6Dc3Ao/uXjBodoPeqAh7hzRgyQDNIvKkdcHVfAfj296mO0N9RDFh6JoAU3wMJLgccWRBsdqBtsSoQ0OsyGSaulu6kdbRl1rBTq8cceQ3BwMJ5/QR2kpNpvqgGXugkyzTzsdWc9igDQtRkF3333HU6dUpf/hIWG4oUX/yuqxRodl5WBxfOzLul3yVhmowD9wgToXV1dID90qr/4+eefceed5+nk+j6oUgB0mytuh/3Fi1hXSNji9L5fUdeSin3xAVAe2KMB6O4Xz8GCK0MR7WQ/oNtSAnRBykr/bLJIAJ2r9fyzop7Z5pxe+RHaG89n8cc+8Cgcff2wbGog7APFFzvRfqn1n+zhoElpA/TqpEr8ml+Fkh1/ojQ+CRMeeRJ2Hp5Y5CWHO1Gr7XUHBIYA9JFW6SXa3I8n8lFXXcU8njn2BFH1IoJcRaMqDvUuaC9oRGdlK+9mw2HdQiemPqxJLNIoVbNSj2WPYpKTHWZFe0pOMTYFkTQCpH8mFaNa1Y7Yd9+AU0AQxixdxsQip0d6wNpfnHKXQQG6gBDScFObWcAgqw7r0ko17hak4E76HOa9nfB0fB9bvd9n/uefRvrrLCY52LMgJJZIIlysvtPIIMBQzyH9zgF0s95eTM1tZTZr2b//jLrM9D67B3/8Aaq97Ri9X+wmWpZMhI7lJ1VgW341Sg7uR+nhA8yGs7m4kB3ZZfUnaLa3kAygC1nOUbBquBhO/acx7nABTtQ0M1YFsSsmP/U83OQK3O7lyrJ4lM0TownqUojsMa1LfytSqvB7diWaCvKQ8eO3kEeNQfjCu9muM8Z7YVa4tMkFwRKgYWDccc9lc1MTnnv+eWaz/CAlxEhYeJho9pRUUGWJUIdN6+ktWwALw+9VbaFfovqfOXOGKdovWrQIngHeolqscfenIMtMqqTOKEC/8AB6T08P7rrrLmzcuBFr167VPKi6vOj4ttEZoO/fD3z+ed8adN4M+h2wueIODUCnyNuOg7/AofMsfllXBcf6OlA4gUTi7C+fi9suCUa0o92wAnRhJW8rkCqmpokE0ClLlp1ahb21TUwcjhbivd3nM+gzlr8JM2sr/Ps68WsLubGMpEqvNkAvOF6CrRX1yN/0E6rSMjHlmZdg5eiIOwmgz/DWq7bSEIA+0pZzHaUt+DY2Hw2lJUhd/w28L74EAfMW4GqFM4LDFKLaJwm9F6gfBA75mvUwCAfSeavjy/FrUQ3Kjx9F0b6dsLC2wbQXX2OCgRMmeevFpjDkHWgKi1FlZh2+Ty9FY2E+0n9YD6/psxB4zQ2stjJqrIdo4keDAXRVTj26atWK4f0bUfyJ6j9cja5H6uFCxNQ1oyRmL/M7DrzqWnjNms0AusL1dexwW4llfu6YKxcncCGk5G4b6SqKt/RQ88cBdJvOHkwoVIsxpaz5ktWe+8y+FGXH1MrV5j9+zurupQDoglkyKdWKeSYn43gx9lY0IG/bX6hOisekJ55mwUxqtt9+ig4rc8kAuikIifafEhLNizmQh9SWNqSt/watVRWY/uIb8LOzxtUeMrUloJHK2NrnHMm1Qv+xJxwpxLHqJo2AZsD8a+B90RxcIXfGmFm+ojhcCD2fQhZjYtc78/WDY/xR7fk777yDefPm4Q5yTgJYAJu0MqRugkktfcoeRADo2roAJJaXnZ2N1atXsymQilEgqOYfJZfGFncUoF94AP2ZZ57BZ599xurNl1Hdd782f/58eHoOVEUf7AE2CqDv2QM0NPSjuPcF6Kq8BuyM/wM9VWnYvD4PCuAcQF+AnmuuwH0zghDpMHABKGUGXegDPKCmRCSATt7r29PLUdzSisSP30V3Z4fmkhC9mWjOIdO8cX2AOPWmQi96vt+kturgALqVmRxb9mSjuL0DWT+tRUN+Icg2hzzQF/sp4D5DP3q/IQB9pDPHytwGfJtcjMbcHGT+/D38r7gKPnPm4kZ3GXwjFbDyGMgokeIDLCgcOAxiQEQvz4ovw77aJg1tM+DKq+E9+1Lc5ukKnxk+otaSDTaHI70YLY0vx6aiGlQlxCL/n78RevMdcJswCQspYDXRQzSK+WA16PRuokUPX7MJlYlq9zjUfZybVIF/8qvZZrl//cFE0ojeTqyCeXJblDs8ieCxWxBiL56yv5BC8XAJxXEA3UXZhYjydjZ+8rq2dpEh+p4HkPDxO6hsqYH35g2SAXTRsmRDXeQhfqcgTfLBAhxuaNHUHJP3OXnB9/T2wPLHlUxMVaoadKISt8ZVMkrxgEasCnJVEBEM6zJdBJC2Hc5HkaoDCR+ugJWTEyuDGeNoi4u9XfsmFXQ54BDbcLZeI7FW0D4nBSb27c9l+hwpq1ehtaoSdC+YWVnifn83OEyT/loIBTClfj9qszkoU0wZY2LP0jqf2nAFEMnir/W0+r3cv+lVB0/r6b/+AiwtDb5LtcEyCV83NzczVXtqtHbSR2RY10605zWCApi830ipbIpHAfqFB9Avu+wyjSgC380SExMD2kbXJhpAf+ghYM0a1L9DAH0h7C9eyLpQnVKFg+l/ozE9ATF/l/UB6E23zMOTEwIQMdwAnWpKSMmbpw2ge4sA0OkjUxtXjl/K69BWWYEza75gZ/acNpNlR2gRRqq066aobcikaoKWQhJnijiAbtHhjK/2ZLEhpq1ZiY6GGkz+79vs73eHekIxUT9RMEMAumDmeBgi0hWpVfj9bCWqkxOR9/cmjUgeUfwVY9xgKRMPfAjdS4JR8WGgcnaUK7EzqQSFbe1IWfc1WivKGG2TnocHo3yGTYxoJO2lCATs3pODs0oVsv/4BXUZaaByF5mfH+6l2lKRLNboPhgUoBc1obNcyb/4GEZbKdLo2HI4D6WqDlQlxaPs6CEmEjb9pTdYAO+BMDnyzB7B+PHbRH1FCgrFDZNQIAfQPRo6EVjTgW6VCvEfvg1ZRBTCbrod8R+tQE5tISL++YvV3VP9vdhNtCyZkR0jhtuJY4VIaGrFma9XorNVyUQCT721HM3tSrhsXMfOIBVAp2O3JlWByl/4msMUD0kUw4WmjYTr/jxZgMqWVsS9/yZkYRGIvGspZpDFWICr6FZPgmsFqTKGPBNA74RtR9SBifgP3oKNTI7xDz/BBDQv95OLHpjguwbEMqM1A1+TOoCnXXZCyTmlUokHHngAM2bMYGtFe7oXLcUTRBvsHhQskdSnFt9IgE4lSa0JVSx4RjpcTz31FLy9vPDa62pdEhuJwLJQ+Y+VtwNsAsQvS8UoQL/wALqR374BuxsN0OvrgUWLgEEAetaJEpwp2onCwyeQdKymD0CvXHQVXozyQ/gwA3SaBGV8Jehh5/0AU1TW4hxQFgGgt2TX4buUUnaqhrNZyPrtR/bn4GtvhMe0mWi0t8Bdl4Yg1F5aKqlg5ljihTgH0M0a7fHNkVxmIZTw8Qo4OvQg8nH1y3XJGB/Io4hjoXszBKDrZbOne1d03jLnZCl2lNWh9EgMSmL2MZE8WUgYlvq4wZHqmewMjy7r3AkSP+nsYYr2fI3qbh2m6c7E0ee83LbErvmOmARlpUhd9zXk0eMQfsdilhW6dJy3Xmr+hpyf20fYXkouqQ87CTL9sTcblR2dDIBQIxV7uaMD7iAV+8n6BayE5mEwivtIB6y4PpOVz5r4QjTl5yLjp+/UCy6ZDJOefB7h9ja4LMIFOcplogN0IaFAvbJDRtyEHEAPqG6HZ2MXWisrmP0mlTv4XXkVs2NMLEvDtH17YWtujnXjxAfopiIORr7D+04V46yyDfEfvA1bhQLjHnwcDm8tR3tzFU789QubaSkBuiCteZiFE7X1a2rqapG08iO4T5iMkJtvx6WujhgT7ia6VodgxjDERbSym6EeGQqebT5VhIrWNsS++zpcQsIRteRfmO7sgMlBrqIJaAr1Q0jVX2qnh7b0WlCQ4vTp0/jmm29YNylr7O3tDXN7S9iPl7b+XnteKKlF9yJf0zmQbCRA135X7969mwlkX3HFFaz+nAUsJlPwTPyAhZDzk2T3wChAHwXoRgH0vXuBurq+AH3F7bC5chHLoNPDHHcwH4XV+5H810HkZzafB+jzr0bJkgV4LdwXYTzAVEqKO71gBEUfJnvA3PqciIWRAJ2CAMmHi3C4/nxNJfeCm/yf/8La2RmP3jQWVsMgREQZy46iJt4XrGRRwHNn4wB6b6kV1iQVoaOpCUmff4DgKCd4LHyRbXXv1ADIAvXznTYEoAu+bBV2sA0baPs31EJC19+JKpZwrBgnGloYnZlozRMe+w8Unp5Y7K1Q1xKaS8ei6N/PkRTAqU2rwc9Z5ahLS0H2pt/AORkQ1d9vvMewMQmEKM62oTImxCNVI4XeTYfzNZZ7dB5S6qYmNotgMIAuGLCSKjvAM6ENGbX4MaNMcz/QJk6BJJj3IBMNnDlJjrMVS0UH6EJCccMhoEnj5AB6RJkKLq3daMjKQNbGDcxKy3P6TMS99wYO58fhsiPHYGNuhvXjgkW/JQWp3VKqFfcbCWWrtiaVoLihiTEHyIo04s4luGTDh+itz8NnK3/CUl83zFNIkLU61xfV2XpQoICv2UbKh+3dROenwNWZnFr2zWgtL0PKuq/gNXM2Aq++FvMVzggjnQqR31EjmTXWnnMa+2+nS1BdV8/WC4pxExF260JcInPE2Ej3ka+/ltBqjZiXLIDeC3z77beIjY1FYGAgXn75ZTZFdqTc7zw8bDu2Zj5dBQri8QJ0XVkltJ7evBmw0l0IWPt82mu3hx9+mP3EUf6ldFgYEbbhKEAfBehSAnQCIwcO5aO+/iAOrd+DpmYzyFQqVoP+5/x5qL7nerwR5sObOZYaoOtsLWQkQKfo546j+cxCicuQ0UuFq6sM9nLCDReLnw3he4mSvzAJpPE1qT2fCUhHRHyHppQuJgpWc+Y0crf8gbHTXOF47XOsS/fNDYWTQr/6a0MAuqC3qcS2JRQk+fZkHjp7enHq7VfYuKf99zW42NvhzhDPYaHsaV9/oVpDqQVwCmLLsLWkFhUnj6Fwzw5ELLobrpFjcK+3As4UJLMdHiYB2fgQKOBr1gHOsPZ2EB0M0QE5+5bNFfWobmhE4qfvQTF2AsJuW4TJTvaYEaqATYh4waLBALqQFoGVuz1sQvQLmhk6WaVxZdhUXIuq+FPI37GVHcbe05tRWkk0cPxsN2SevUt0gE7nEdQh0HXxaejAtQA6Z7FWEXsChbu2M/tF8nuOfec17Mg6iOtPnZYMoLNFeHIVelT8i3Cy4pT6meSotH9W1KGyrIyVg3lOm4Wga2/Agm0rYVafhl8/3oTng72MttgTulymkkEmmv2ZY8UswN/d3o7mwgLGwPO/fD58LrkM17u7IGgqZVMNAzyDzYGgYKC7najvJaHrQI4O/yMBzfJypKz9El4zL0bg1dex4EzEOA9YKqQLnnL9GimnD+11ypdffIGU1FSsWrkSNra2zFlCaoZb/+sixCrRWcPISICuHUznADpZTN9www2QMskkyDbUh+KvzzdiFKCPAnRRAfrq1eoa9Hl3wv6iO0AvmD3HC9DSeAg7P98Bc0cF7KurGED/af5laLnnZrwZ5ssr+CM1QBeOkGsp9xoJ0Ck79UdsIWrau3BqhRqQUeOyZPfNDYPTMHxk6JyCVE77fur1+rxIdNiWgHSY91qcSFQyJdqiPTtQfvIYLr7KE92znmRHWHZtNOz1BGWGAHS9VPx1GJs+m9Sl1WBDVnkfGi/dCwG21rh2vI9ollq69klQ0T5MJtkCiMBpxpEiJhDH3Qvjlj0KV19/LPFVqMV/holJ0FmhBHlA8zUpP/p0zvKiRmytbuhDaSYF93lyZ4SFi6voPyhAF8tCR9ebjmc7ymJnHy3GrtomjXo7bRa04Hp4zrgI188OQoDCDBkZiyUB6IIB2zEKWDhZGzG6oXdlGfTOLkw7Z7Gm/Uw4ePmyb8fGMzuw+PRZSQG6oFrxMGSOKXPbUtyEDeV1aMjJQtYvP4ITjrzln1WwrU+EfFM8LCTUaqGrJZhBHgadEu6OoXfTn/FFqFKqmEge14KvuwkeU2fgNm9X+Mz0Ff1dyXlv8925Fv2taIe+vQ3eoiiuDFuKa1Gbcho5f/2huRducHdBoASBCb6OCvlgE63aYYaXweMT2lH7u/Tcc8/B2toa7777LtuFAhNSMv34+kXBku4GtYBl/6ZzNp/W05s2Adb6v097VF1oTVYL1dXU1GD5cnVJ2AsvvIDQ0FAmDielwK4oFH997pRRgD4K0I0G6LW1APmwUw06AfS3b4fNVYsZQKco7K74YrTWH8TWD/+BS1AILAvyGEBfO38Ouu+5HW+H+yLIbiBNR2qArrOSt5EAnRSSfz5Tgrq6OlY7xjUCZWH2Nrh2QYQ+j6xR2zLKVMLI1BwTkA62/RLfpTRpPK9pMPc8HYGzTkvRYmuOZ66Ohq2eVH9DAPpI2uicPlaEw5WNKN63G2XHD2ss1qY6O2DWLD9YOOr/4TLmpiAK4WACYVJauBBlLOFUCU42KpGzaSNq085g8tMvwtNVhtsC3Jiv73A1QTV7iXxmCZCWnCpjdoOUr+QU/f0umwffSy8HLUD9o91FpdcPBtCJ5UO1jryLcYkZJdw5qQ97jxXibKsKad+tRktJMcbe/wgcff3QbWGG/9w0Dt3dLcjIkCaDLmg1J3GZA80BAXRVWycmnrNYy/7jV9RlpGLqsy/B0sERB199Fn+l78WS5FwE2Vnj7XA/SR4PQUV/iQSYtAfSlFSJ/+VXMSvS8uNHULR/N8JuWQjF+IlYuONL2NQegutfmZKMXfugwhnk4WOVqHIasPZMsYbazvUx7NZFUIybgHvH+0IWLhd9PrTBUP+DE4uC2BRSN1qvJB0uxNGGFsa2I9YdKdc7eXjgbh8FnKd5n9cKkrgzyqQq9A4qGugpSd0zly2m0pNHH30U4eHhePbZZ9lIpWR2DTaVgqVgugbzjQDo2ucna7WPP/4Yl156Ke6++27WZZ2DBAbeK4LsokkeIAcoUdsoQB8F6AYD9HXrgH37AF6AfhfsL7qdRaG3J5dCWb4Hu77cxz4oZqlnsAjAqnkXwereRVgR7ovAEQDoOgsjGQnQm1Kr8cPZCjSd8zimB3j8g4/D3tsHV80MQJTv8NBHuReHkDgeCWxoau9FfdMADEirPsPG4jaNnRSd4r4XopBuew8K3a3x3uxwWJvrJ/BhEEDvPafiz6d3QjY6EmVvKRJ/7EAeEptakff3n6hOTmICWCSEdY+PAjLygB+mrDF3ebU9RftfcisJqYyUqdufX4O8tnakf78WLaXFmP7ym/C3s8E1oR6wixJ/0TnYLd3d2A7qDy9AldnALlL8vnQ1tmP7sQIUtbUzJf/qM0ns9FRfSXWWC71c4T7BQ9SAzWAAXdvKp/8cWDhawW6sdNaP2vfh3oQS5LS1MxupLlUbZrz8JswsLXHXGB+4RSnQ1dUsGUAXLHPwd5JcsJAAOpo6EFmmrns+/cUn6G5rw9TnlzNLseyUWGQHO8N90lS8EOyF8U76lQLp+jofEbXic50jQHbyYAHimpQo2rsT5SeOsl+oHMw5IAh3/vMhrGqPQ7YlV9fhGLwdPZ+qwd4JwxS0os7XJFXil/wq1Gel4+zGnzXjGXvfQ/g/9q47PIrq7Z5kU3ZTN703SA+hJVSlg4g0wYb0joKg8sOKCiIqiI0OdkFA6YiKBURp0tIIgQQISUjvm96T73nvZpdNspltsxu+58ltYAvBAAAgAElEQVT9S8nszL137szc877nPcfKywdLxgRDIOKX3k4X4VTtNjZi7hL6bhS0++9iOqLLKpH4wzcouZuMvivfhatIhPHeDrDorv8ggWyMvNC7NZywu1ezkFxYgfS4GJza+wNcvbzwwquvwcnMVO9gVFlXuYL5aqunawnQmT4Gqbc3NOL69evYvFnqhETicCQSR02f+1c6v0ywT9nc6KUcsBOgdwJ0rQD6ggXAF1+0D9BHT4NF/ydA0d9d8RkwSv8d/3xzhtUP1V+6wAD6+pF9YDNzWocBdLWVvHUA6PRSSf8vE0dzipEXfQUpvxxFl/GT4dQrAr5CM4wd0RUCc8PU2arzoREG2IEUKfXR4uMmQFi8DieKGuSe137DB2NoZB4D6DG+FviiZxeYaghQtQHoND4uwROLnk4w1sN9IU2G0/+mIqG8Ckl7v4fkzi1mIeVjZYnRHnYGzRrL7jEnOLU204vVGbMdvJqDvVnSrG30p+sgMDNDjxeWI8hCiKHBzjD3NVzgihOg6sluria9FF9cSUNZZjoSvt4hf+Rk2hQz3R1gG+HKa2amXYBe08CeB2XNUCrmxGj6JSGbWaxRvTWJZ1LwytZEgGcjvJkYlD4BekcL5b1wIw3Cgmp4F9SitqwMMZ+tg31wKAKelmaH8m1MkOpsjgFiKyzyctIbxbtD1IqbFx6xan46fQf5zWtAth6JWeMgtsXEgy/AuOyeQQA6ZxmUyMQg4JACuvFn0/BPYRnS/vgNOZfOsymhRAdl0LN9LPFhRBd9fK7ZOTl1GSJc9G7vRc/k9vN3WV+ubfscdRUVLGDlYW6KsUGuBqV4G1o0kL6RUWfTcKG4HDe//4oleDyHjUS3YSMxycUOlgaY/9YLiyt4p7bdnJYAXZHRIas9p/7NmTMH/fv3h5GZAJY8Op4oe6g4ywED7UA6Try2ToDeCdDVBuh//w189hlw/DigJkAnf+GvbudAkPQzLvx0CV7DH0HV338ygL5qZE+4zpyN9wM84N0BGXTOjYgirVUHgE4vlYSLGThdVCbNksVFI3zhEli4umOejxMsI/QfhW79wuCi9uuz3vb61adQXfwOLpRBTmnut2wRQoX/Itp6JuJ9LPBtNz+YGAigc0ZDQxxAdXZ8N8oI/H4uFclVNbj+5VZUFxUygbgQSyEe9rLXCxhWNQYKGlTGSuu6WjdiU/Bp8yU7f72kGmcuZzAtAhl1URwQiKBnZyHCxgJ9e7gZzMaH+tRU14CK6HYAqp7moCghHz8k5bRQLKe+dF+0FCIXV8z3c+F97tsD6JylLwbY+NC4K6/l4yfKFJaWIeqTD2AfEoaAp6Yyn+fI3u5s81NfX4qbN6fppQZd7e+BqgdKy79TBt0+qxJOpfUoT09DwrdfwP2hIfAa8QgTxDL3sYbI1Qpu5qbMTkhfrSN1SsjOavf5uygsKETs5o/ZEL1HjobbwMFMo2PI7skwqqo2CEDnVPYXGDGWlb4bBQ7Pn7+HmLJKBtLK7qUi4pW3IDA3R52JMWaOCWLZVH012r81VtYrPb3aomA6dI6E+nbG3kN9ZSWiPpY6W1BpYKilEIPDDWfDSdflLP3QQ+0zvY8uRmdJ2QO7v0FJCrEH1sDDQojHPOw7JJjPWfbhYqFeUJ320wcPAuaaqc8rU2+n+/LCCy8gPDycBXCpJE+fTe2yWL460QnQOwG6TgD91ClSa7hfg759O4rXPgXz0dMgipiE3CtZ2J9TjProA4j6JRZdJkxG6c+HGUB/ZWQousxciA8CPeElbAuG9F2DzkVha6ForgNAb/GS3fMdSpJvo+8b78LZUojH/V0MSuOVg6OCKlAtj7Im0FO2kK6VcGEG0ouX41aNCYuG15aV4qEVL6Br3a+4YD8bt92F+D7cD8Yabj61zaBz1VOZdxXzbltDc0Dr4djFNGTW1CHm849gJBCg59L/MQupvn6OBs0IyO5/R1grEZ34UFwGcssrcWXdu6wrMkA23N4GYYO8mEqtoRrNQcXlHKWX04cIENFH0y9m4mhuMXIuXUDaH7/Kr93rpVdhZmOL5/r78U6rbhegc43fAHRWcjYoT5UwYTACITe++xLuDw2G14jReMzRFl36uTNGiz4BOheTxERsDrLW0mcjgO6RWg6r6kYUXo/DncP74ffYRDhH9sVkZzu4hTtBYKvZplab/nIGa/SlVtzcUaLQfnU1DZLmNeAxaCg8h41if50T4Y2G1wcCBgLodE2ucjBDZDApg/xXdCYr+4gl/RojI/RcJnU8mRrsCsdQ/VK8uUTBhMH2MNHzesyLzcWPd/NQcucWEvd+LwfofiIzjBnoq/frKz4/apdEavPQKfkN7U9+ScxBVk0d4ndsQm15GSJWrEQXkTlGBjqD7D8N3ch2kJgEypraXuC0nz5wABCql20mFkl9XqVcxLWyogIvL18u78Irr7wCf39/VnKh7/JAzjWgjwBBJ0DvBOi8AXTyJNy2TQ7QzQIeQ9qNfPyaX4Lysz8g4fRNBD07E4X7duHJmnIsHxuJ4JnPYV2gJzw6AKBz+hoqUnt1AOgERP68ns3qbKmmsLG2Br3/9yYCLMwxPNQV5t7683Ft7+VNPpbt0VkJjOjLh/vG6QWIK12E7PJGRG1YC7F/IHpMmYAutb/glOtcZDiaYVe4n8bZIW0BOmfNqZ5UegmIHLyahoLaelz+cDUsXd2YEFZ/W0v0CHDskPVA64SUUYntoaxRnR/RnPlsMmZNVUE+C9ZQk9VeTw5zg2eQ/mueW4/HkHROUue9m1SAPwpLkX7qT2Sd/1feHcqSkNXgnKEBvG842gPoKsGIHjc/svKC/TlFKG9oRO6Vi0g9cVwuDDbdxwn2zUyj+voS3Lw5XS8ZdK7MsSHq8Amg+98qhaARyD5/homjBU2dCbF/kNR2MMJFb/ogbZ6FKznMAlBZ0+dGuCA2F3vv5qEwPg53juyHXKnc2Q4uwQ4oXxppUIDOmUHWs+WcLHD6S54EOVVVuPzBatj6+CF45jz0JgvGYGe9O350pNUcrb/oM6k4X1SOO4d+RGFCvDxgRUG7rgM8YGTKsygXx0eOU6tF3eyxBh9REqX7OiUXIDvWtW9B5OiM7otfRJiVCEMiPfVWisjVRbX3zFwn0RCgU5ksJTZkLT09HWvXrpX//6ZNm2AT6qKXhErrYRh6DaAToHcCdJ0Ben4+8OyzQCuALnAeiYTUIqbAWfDbV0i+moJu8xcj56ttmFiQitemPNqhAJ1TpdTCBBbhzdFpHQB6dVIRDt3KQV55Ja6uXwPbLv4Inj4HkTaW6NvTjVeFZg3e/dz11+GOvHuqUt9u/r4U5yqnoyC7GNe/3Mb0CIJGDUCX2l/xi898FFqbYHd3zevptAXo3OJo+lHpJVutvbHpkFRU4upH7zF/48BnpmOInRVCQ5xh6qofv21Va4MzUxKkYDmo6kRq/J0AWdm1fHyfVcgYJYl7voNLZD/4jhnPMkT6Ej1S1TVDbsZJDfZAWgFK6huQfOQACuJjYUMOF0IRAp6eCnE/N8z04D9IwQXQuTQZLPXkAy4TosqprcNv+SVQDNjIqP7P9fNj9EVq+gTonF7HQgEseujXVWBZfCr8b5excab+9jNyr15C9+eWwc7FFdO8HA1CqZY9I5z6HHoSEiVnjbhzaThTXH4/QPHsTIgDgkB6DNbhTiib39OgAL3qZiGzilXWRHq03iN6fVV8ASiY/k1mAaoLChC37TM494qE3/hJ7HsRFu6q9/1DR1rNkQbAhXNpUor3rq9RknoXka++DYFQiHk+zqwG25CNyrKqk9rJHtsJIQy04607tDfNjsrBodxiuR2rtY8fQmfNZyU//Yb6GpRhJhsY555ZXV0GDQC6MpZrbGwMtm/fgaeeegojR45kXTNEuQX7/hhwDbCBdQL0ToCuFUAnS7WdOwGqS8/LawnQyWbt0eloMn0IX6dJa1tvf7UBkpwSRLy2CqkfrsaY1Kt4e/40BM18Hh8FecLN3PAUdy6rLbJLkNs86QDQK6Jz8X1aHiT3pDWFbgMehveoMczjOLivu16AsDpfCQoc1LfjZ0nUKRNHkTqn0eiYhGOv4EzdE8i5kYw7h39igMwnIpAB9P0BC1FlbmxQgN4RKr1VCYX4MikLNUUFiN3yGZx7R8Jv3CSMcrBBQLhLh0TF6SZy1lb52PAaOKBN3+WbeWzjlXPxPNL+/A3+k56CQ3hPjPG0R0BfD43WFV8HG2ozTlmIzNhcHM2ToKG6mgVqCJgTfRHGRkh3E+KFnt5KnS10HSsnQOeqN9VTtlAGAAiENDU24vLat+VD7PfWWjhbmuGZkQHyTJk+ATrzOr7STpmDwBiWkfoFBG9fvAOnLGmmKGnfbkhuJzJA4mxticl+zhB14z9g09564vSE7+YIKoXiu9VklGHn5VS2DkhAs+TuHXmAYqq7AwtQlEzvZlCAzmm9p0dB1ZJbRbicUoibFVJFfxnFmzR83B8egnFOtvDt4w6yO9Nn4wxiO1sw32l9NbK+/Dc6kwmqMop3WRkTiLMUGGNqkJvBywM5GTY8lgbKmBOXJeWIL63Ejd1foywthbFPKVg1sYsTfHrqX/9A2X3l1GVQt/xFA4Au25dUV1dj27ZtuJeWhqpq6TOxfPlyBAUFsUCFRYSzxsxLbdatwVlWnQC9E6CrDdBPnwY+/VQqEtceQN+6lVHczUbMQDYiWVZEliWztTND8NJVSF7zJkZd/xNrXlrGAPqGIC+4mrf94Ou7Bp17Q6YgAqMlQKcAgKwGP+/qZaT8dgxdH38Kjt174glXO7j39+CdwqruS4eT3u1uxTt1juoarx19CxcwAannLiPjn5MInjYHLn72jOK+K/Q5NBkbGRSgG1qll4TIki9msmdCJgIlq7FkG65Id96p5Gqvh+wK1N4rVXo4ZfXNffgpxaBnrjImD/syClBZ34BL773Frhkycx7LIC/q6wtzPQu9tDcnhlJopWfv3M1cJpB3bdtGVBXkMTaJz+ixaDQXYNKwLvCxUK8+T937KzuOC6Ab3EKmWRjuen4ZLpZUoCIrA9e/2s66GvTMdIiDQhDZzRUDA+/X2dbVSZCYOEMvFHe6bsXVHGYvpazpk9rdUFqDb/6+g6rGRnbp+J2bUVsiQcSrbzNxtEcDnGFkmgYTe3cIbPSbyafrcytW88uokc11SnQ2jqcWIOP0X8g8+w/7ZwpQ2FtZ4ikfJ+a7LXk2zKAAnRhPVI6irBE4NXXm3+qOMvZ/XUjDrcpqNNXXs4CFTKdDVgY0NdAVjt30W39OY+bKGJIegj6tMKkG+9StPCaoSo4GAjNzdF/yMhNUHRziYvByMC4hUT4VxGV1zlQaei8nmwXyhfYO6L74JRgZG2NRpI/Bx664/kmrhYIIbZoRYNXXTfUnifbT+/cDItVJIFmg8OjRozhx4kSLc5PNmpmZGUz1UF7Q3iA4WVaKST3Vs6DeEZ0AvROg6wzQc3OBqVOB554DtmxhAN1k8Cz8URXMBC6I2t1QUwOfQGu4TnkdV159Dk8nX8Ca5SsQPOt5fBzkBZcOAOhqb8i0BOiUob0elYUzknKk/HqMeX+HL1oKKxdXzPZ3hZUBPTxbvw0oOt2eUFwLgTz1XiMqj6JNTvzZtbhkNAGJP59AwbVY9Fy6Ara2TfBuOoQ9QS+xcxiS4m5oMSRSQP3lcjrSa2pxac1KNl4CZQTOnvB0gEdfd5XzqK8D6ouqQQBVWTNxEELozw99j2rJKm9L8F1WAcsK3Pj+K+lG/LV3mDLxC2NCOixIwcki6GLLm6o8+a1/eSMTaGqSBygiSZlZJMKsfj6w9eAnGKLsXnIBdC5QRhtxvgXK6PnLuZSFA7nFqK+qkqo0N3+O+729FlXmArwyNrSFaGRdXTESE2fqDaB3CLW7oRGlMXn4/t59J4Woj96Dma2YfS9CrQiQuKJ6uj8aRg6C3dsH9fUakJ+XU7Gax2dBdkEKilz+JwWXSioQ9dFa1FdLmQSk2G0lMMb03t4saGxogG5oYTAac/mtInx/PRPlzfocZDdYWyoNnvZ68RW2LgxVBsQZxNYHIFFY2fQs/pJRhJwasl1cBSsPT4TOWcgEVQdGGL4Gm1NM1QhSkTINBW5bP8iyAPbtkkq2b5TcSkTSj7vhPWI03B4ajHArEQZ1UP25rK/ECqXkk7JGLCOV4q5qAnSp73kuC5h+sXMnoqKjW1xy586dzOZPRCWZZobRIuBM6hkZwbIvz8yGToDeCdB5B+jvPQlB/7n4rsoPTQ317OVKberSACTbzcbJpVOwIOuGHKBvCvGGnWlbqpa+M+jUJ+66SxepB7GWAJ08I89dz2GZshvf7kR5Zib6vPEOXEUiPE4CcV0Mr8Ipe8Nx+T63oPfzsBWkF23VtQLEJX6CWMFERH/5HaqLChgoE0ECV9PvccBPmkk1JECn6xGl1VBiSDV3JdgZmy6nNdP1ZYyK6T08Yd+VHxCszS0j+zfKoCprAh690CkIcCQpB/m19cj8929k/HsKQVNmQhwYhF5O1hg0yFeb7vPyG05WibcNzNz40QfIvZSFnzILUZx0A7d+2gO7wBAETpkOL3MzTBzeVa8BCk6AniwBBe6UNaEe6Ly05s5dvIe4svtMAro20VhNRBYYN9AXXVxb2uboG6BXXS8A0RiVNX3VORKN+EJcFpuHxro6NNbUIOrTD+X6FMxmLsIdlRN90DB0IOzePcLLeuc6iaFrj4lBcPriPdwor2buFrWlJXKATord40YHMraZoQE6J8WbR2aR7F5Qljb9chaO5krk5T+yv3kMGsZ8sK1cLTF3oOZaLdosGgYYr+Yqz5gCevPipkxlcVQO9mQXoa68DNGfroN9SDcEPPUs+ost0WdIx9Rg6zuAR04SyXG5+L2ghL0LyOEj/e8/EfjMNNgFhTI3B49+bgYVx2u9bjgFZdXRp6D99E8/ARbc7BNF+9cNGzbgzp07rCtkqTZq1CiE9AiFub+dXsptuJ4VzgAF3970nQC9E6BrDdB37ACI9t46g/7ekzCOnIc99b6QpKcj4ZsdsHa0xpNzPXBDOAOH5o3BCkkm1iz/H4JnLcaOUB9YmrSNgBkEoJMQS2U7GzKZerWWAJ0yUr/ezkVmVS2rMzW3s0f4oheYCudg8nl24WfDr5cPb6QrjAT8eO3Kar0vJn+GW4IJuLD+Y1h5eLFouLCxCDZ2n+FXp0/hKTTDh4GeGg9HW5E4VQEa8v/mMzJbEJOLvSl5qMjOZCJ51LrNfx6W7p54bpg/zOxUU740nhw1f8CL+Isa18q5mo399wpYRijm8/XsF1R7bWJhgecG+MHMTSoG1hGNWB5EaVXWzHgq+yDRp//OpiGqtELOohA5OjH64kgnW4Q87KVzFoZr7hIT5yE4+Gulhxja45UspE5EZSC1+j6jhDpGWVNqyyaHt+lnXV0REhNn6S2DTuwG2iQra6IQBwhs2mql6LpWicn0/bUMVJSVMWAuazJANtpFjMD+nigb7mowgE73piZV/yUvsrFSpvpYTAayqqoZk4IYd2HznmPficFdHNCzp5RdZGiAbihmkWweiGUVG5+L/yTlyDr3LwNn1Ky9fBA6ewHqBcZY8lgwzM30W3uuuKYrr+WDMulKn4kwBwis+H8maM9w5UomrpRWyAUTPYeOgMfg4XjU2wGBkR3DNuPUZuBhLug5OBGXibSqGsR/sQWVuVJNjO7PvwgrJ2fMCXaDRajhtCiU3XOuOVAriKkmQFe0dHv11VdRUVGBZcuWIigomAXrmNuQjowFbd7dnGKyfDvedAL0ToCuM0DPyQGmTbtPcX/vSdR1n48fjXxQdOM6bh/ch+6PdENEz3oG0HdNH4RVVSVygP5NNz+YGrcFg4YA6JwbMplKqxYAnUWeo/OwN6MAkoJ8xG75lNWeU8b0YbEVevT10MuHTZMXDmcklEdRKMrMJueVIydrK/46b4+M8xeYxVrQ1FmASSHEDu/hL+svscDTCYPtW2bM1BmPLgDdUBkzovOePX0XsWVVuPXjDyi+dVOeEbA3EWDaY8GMrtVRjVP8hSeBLAKnN/7LwN9Fpbh9YC+Kbiaw4RIgczEzxdNjAlXT4/Q4QXUFVahJlii9gqkTP6r+ZBlzIim3RZmDS2R/+D42Ho93cYK3nsV/uAA6F4OANAj4dhiggMDB+EzklVWwACa1oCkzIA4MxsAwF0QGta211jdAb23po7gYhP5imDjwH0Qrj8vHN8k5cq0W2TWDZ8yBrZ8/ZvbzgdjDBqVDXAwG0DmBqb0QxKjgs1UlFmL3zWwU5+Xi2vaNcOoViS7jJ7FLLBzQBcJm9oqhATons8jGDBS04bPRM7Ez+h4r9Uj4egfKszJgamWNHotfYurlk4d1hacd/3XvXGPg0uYw10O5A/WFgqW/RGW0eE9SgMLa2xczu3tA7G/P57SrfS5965TQ+b+Iz0BNcTFiN38s71ffle/CWSjEMyP8O0xYWNYZtfbMXDNK++kffwQsuRNUsvKSmupqLHvxRXTr1g1Lly5lZzZk3XnroXAHce0hsDFXez2pPLAToHcCdJ0A+j//ANnZbQB6SfA8/Gzui+z/zuHeXyfQ74k+CO1axgD6jqcjsb6hFu+RCuOsJe16XxsCoHO+cGW0Ti0AOkWAS24UMIoWARECJN4jx8Bt4MMY7yKG7wDPDhOIU+tFy1PNKVEXq24WYXdWAfwrd+G7DUns8t4jH4XbwEHw8KmAVeNqeIUcQaiVdptfXQA6p5p9sD1MbPl52VJW7rcLqUipqkXUxx+gvrICPZf+j7EqnvZ1gmtvnmuXVL752x6gb7o/qaTfyC7FeUk5bv30A4qTbsJz6Eh4DB6Gwe5i9OzvpUWv+fuJvi1UZM8CKZZTu/LBKjTW16PPG6thbGqKhb29IfTlVxU5L+8gHB0fh7GxNOPGRXGnkhwC6coa2ZyZ8SzeR+vh+8RsSLKzWLbItU9/+JDVHoBFQ/1hbt/2faBvgM4lCmbGY5mDbI4pkJt7MRP7c4pREBeN5GOH2J8EpmaIfGMViqwEWP1IKPs3QwJ0XvyO1Xw0qQQq/3I2fswsRFFCPG4f+lGuzTHBSQyv3q5yGquhAbraVqxqjlXVYUXX8vDDnVy5ajsdH/n6O0wgzTvMCY8HGf47wVXuYOpmqRfBMtJAOHw9C7kVlUwgj4A5AXQzIyPMG+DHe7BQ1X2R/Z2TZeRrozMrMj86B/tS8+V7RroulTUQm8Yv2BHjQ9UQYVN3MFoex7lnVmXJSnBrwgS1ALrMQeHevXt4//33MWLECDz99NOs1/oSaFRnSojx1G4pGN8OSJ0AvROg8w3Qi9Y8g4yus/CPtR/uHjuI/LgYDJ8/FD72OYi3mIGz+97GnP3H8M3Bg7AK6NVu3bEhALpawlBaAHQ6b1xyIVMnlqnSkv85+aDPDnWHTTC/kXd1Xiytj6Ga6Lp85TWnfEXGKdqYklOGk0WlsLq+DacOZzIxMFLnbTQ2wvyR5khJ/Z9OlFVdADrXHPBpN0ebnMOxGcipqMKVD1fDtksAgqfPZrdkYQ8v0LU6upE3d2N1g9JukOUgaRNo26imsCImD982g9P4L7aiplCqQ0DWYvPCPWHJc1ZO075yghIrU4jCtKcWyso8UqtqGYOAKLwkniljkriamWLyQF/ebfbo2QgK+gpmZlKLMC6Azklr5nkjTsI/RZezsSe7UL4Z9XnkMbj2fwiPONggsJ+HUgupurpCJCbO1ul9wbUuuMoc9JG1oaBI6u1C/F5YKtdkoKAdMQlETs54amyQ3ILUkABdsf6z9XyRtRcpqvPVqMTs1pUs/FlYKv9WhsyYC7FfV8zwcoQNlVs1U1kNDdA5hURNjWHZmz/rPXomMi5m4khuMbIvnMW9k7+zKZaVfLwwLpTXkit17x8JexKzRFkzEZtDGMRvNptp1sTl46u7uagpLkLs5k/g1KM3ukx8grEPu/d2B123I5o+g5gUrEs+l47fCkqQeeZ0s9PNbNh2DWBDnT02GDZKxJQNPQ+cApJdxTDlsujVAKDLSiv++ecf7Nu3D7Nnz8KAAQPZcEUydquhBw+wIDatA2WN9yBuJ0DvBOj8A/QZuOP3DC7adkXCV9tRkZeDCSsehX3jHVy1mYXqhquYu245Vu84jRFOHpjmrhysGgKgc4rheFmDak81FYlj6pOx+fg6JbelUvNr78DWQoQZA/14U4TW5f2kbyEg+uAUX87GD1lS8bHbO9agKK8GQVNnQuwfhAAfMYaE1CA5+WWdNty6AHRD0XrJ/3zvnRwU5uYhbhv5n/eB37jH8RBtOMKcdY6867IOZL/Vp80WbfIuRmcx73MSgCIhKCtPL4TNfQ4BFuYYGeHZ4c8Ep4WKmQCkSaBNk204SytrWaZU0e/bJbIffB+bgOHOtggb4MWb7oOsn5oAdC5nB74o/rJ+UWAsO7MMP+dL5CwrmRDSdHcH2PV1U8ow0jdA57SVEptDxCMYkSkCk4jo5ZIKeelLxP/egImlFXp4iDGk331WiSEBOoFFspxT1kibhDzJ+WoUGLp0LYe9G8j/XHLnFiJeeQuO1lZ4KtC1hZWXoQE6jZHLVooP5W7ZPFIQ725sDgvWEDgnkC7zvh7oaIPIwT58TblG5zGkoCx1jMorSpMK8UN2EcrT7yHh251wf2gwvEaMxmgHGwQM8OyQQAX1jTQCau5KBQxbN13fkSROGX0pg+kPJB89IHW6WfYKzMVizPFzgbWW3x+NbrYaB9fcK0VddjvWg6pKoWQAfd8+wKp9vRl6/zAF96YmHDxwAH+dPImVK1fC29ub9dCSbzE2NcYtO4QziMtzIJthj0ceAZqp/Rp0s0MOVYklNeyVUZNSQz8Nz/L//HCVkzp/PvDVV1JBOEUf9O3bgTNngKysFhT3wjVzkeA9EbH2gcy/0tjUDI8uGgi7htu44DAbjdVXsHDDClzcH4WJbgOc1mcAACAASURBVF4QtCP0YAiArpYwlIYZdMrEVSYUsmxhVbNVCi0RioT7CM0wYVSAVB2+g5s+PzY0NPqwX7yQjqulFcg+fwb3Tv0hzZ5T1hTAksdCUNOYguTk5R0G0NW6/zreJ8rClEXl4vvMAkju3kHiD9/Kqd1jnWzh18ddabZQx8tq/HN91tcRdXhvbDqKy8qldlpAC02GXkN9O7zkQ6WNDmXylGhlqJpoqmNNiclhmRFq5ZnprL6UmmvfAfB5dBwm9/SEZxd+63rp/G0BevsicZwUfx7rjmUb/pSqGpwuKkPqb8eRe/UisxSzd3XDjCA3liFR1mprC5CUNEen9wXX/eIEIyITWPBojUmaB2W3ixgQoRa35VPGrOj9vzdAuhRPR3iDSgtkzZAAna5ZQerdDe3ZKfEnIirXZaiuQdQnH7JvBJX/+FPgLty9xRx0BECvjMkDBe+UNcqg8/Utp2DxjdsFzF4r+cgBFMTHotdLr8LMxhZzwj1gHcBvplrVe0v2dxZIomCNEutrOoaCNXwLyv6SL0FebT3SThxHzpWL7B1J78qJfk7w6cVfcEjdOZAdJ2NCKfsdCUjqoklA74M/r6Qz33diDdRXVSJyxVvwEJlhbIALhIH8fx80HT8dz8ki8LRu8by2Ob+aAL2htBZUAkXtiy++QFRUFD7++GNYW1szJh8x+jqqcTJKHEX8siE7AXpnBl0rgL5oEbBtm1KAXvDuc4j2GoObdl1w+YPVsPHxw/BnwxhA/9t1LszKLmH5p6/C4tRtmJi07/lrEIDOIQxlItuUagjQ6UObkVqMX/JLmE1G2h+/snprqrsOc7XBiIEdEwlv/ULj/NjYmrfIXGjzMqQX2YH/UpmlVsxn61FbVorACWNh13Mgai1NsGJ0CCorb3coQOfOGop4scIj4JNzvQCH84qRHxOFu8cPo+vEJ+DYozee8XKES5+Oryuj+6tPFe+S+Hx8fzunRW2lc+9I+I2bhPE9PODXtWM2n63XtT5sdGqzK/BzdDoyK6uR+vsvkNxOkttIka+xwE6MpRO6wUQL8K/qudQEoCtuilqfV8Bj9pgAWU1BJb5vZtbc/P4rlKalsFpbV0tLPNnXu11Gib4BOrdYIr+ZYyr/+fNuPtKqa1F2LxU3vvsS1j6+CJ21AL2tLTBwsA+Mze+rdRsaoHOpdxPFnajufLSy6FzsSctHaX4+Yxc5hvdE10lPYYDYCr0j3VuILnUEQDeUkCipY/+eWsiE0RJ3fY2StBT0ffNduIqEmEzPhLNhxeEU762+ldwpY0qsGsqeUyOdjsoc0qbYyv5fpui/oL8fRMRq7KDGpUlAgRpdSh4oM33sWhayq6px+YNVbN8cMnMeeliLMCDYBWZemgvo6mOadLIebGwEJk4E9u4FrNsfj0wgjvq/fv16UB36li1bWKmLfF+uj8GpcU7O7yQP++YWXegE6J0AXW2AToJwn3wCHD8OtAfQN29GwZoXccFjGJJMXZgSpVP3XnhorCcD6Ce85sGm8CJe/uzBAOhcdafGsoyJhgCdPmbnsyW4WVGNO4d+RGFCvJyq1NEfGMWHn6xTqK/Kmnzsaryw2juEKPR7o9JRXCFVafbqagXfZ5eg1tgGXf3sMLaXZ8cD9JIaVCdKM1itG1/1dZQ9/uNGNqj+mOqOKUtGH14b3y6Y38MTFh3of644ZsWPYuu50MVmjLJP9y5ltaAz0/kJnJrZirFwTDCEIlMdVhp/P+Wk+WtZ91Z1qwhfXs+U0zWptyYWluj5wnKmzOzYyxlT/firZVWcDU0o7kSxJDCirAmszdrNamsy+7L37QVJORIrquXCaMxGas5CdLGzwNghXdplKugboNNYKohaWd9O5pinjCmdn1w+vs7IR41EgthNG9g0yqi8w73t0S3So8XUGhqgc6kVC3kS0Gyqa8Tt/zKY73PulYtIPXGclf5QCdDjzmJ4kZiqgt2nZGoYUFkN8dFkTZadTsdyComqEsVS88qs1j06F99kFACNTbj68VoYGQsQseJNkA/82OFdWwRr1Dwtb4dxsqt4cDdQLDWrb2rCrqxC5MdG4e7Ph9kYei9/HSZW1lg2Iaxj3U6ofJGYJY3K6QS6MCqqkorwU2IOCooKEbNxgzxQNUhshfAernpxkNBmgeiUQW5oAB5/XCVAVwyKLVq0CC4uLlizZg3rrj4cRTSZB33vm1v0pROgdwJ0nQF6ZiYwfTrw/PPApk3If3cFTns8hNs1IpYV8Bg0FH0etmYA/ajffDjl/tcM0G/BxKR91WJDZNC5MiYwoloXVxg9PgGwtQV++EHlcyyLsP6UU4TSyirm9UwU/94vvwZvkTnGPeQOE9sHIxLKWWdobASqr9Ol0Ud91/VMFOfm4NqOTQjuJYbT2EUMoPft4Yr+XZ1QWXkLyckdJxLHRWkVWJpC1E17YTDZ3FEQ5MeUPJTV1uHy+1J6v4y6uHiwP0y4RFV0uQEa/pbLZkyXqDWVESTczMOZ4nLcPX4E+TFXme83+X8H2lrg0RFdNeyp/g6XKccqu4K2Nlv5V7KxL70AhfFxuHNkPzu1TDAyz1WId/p3hZmxfkpeNAHo+laspk1tFXkq1zSwDJlMi4DmQ2ahNHKQL0KdODIrtflISpqrN4o79YUrY8qXOBExd24n5OGvwlIUJ93ArZ/2tHgvLBgbApFC9pz+aGiAzikGxYNiNY2JslFXrmSwGvyU40eQR++G51+Ek6srpnRxhkV4SzG6jsig61u5m+aBWFYFNwqxP6dI/p5wCAuH/xNT0N3eEkOHdtHfS0+NM+tUd6zi/E11DaiMyUdeTS2O59+v7878929k/HuK/brvW++hxNoU74yWOhp0ZON8P4Q4gKjumjZWRhCdi13p+ZBQ3f03O+E+cDC8RjbX3VMZnMWDEcQmRxoK3ilrJnZCbiq+GgCdvg/EZKMWGxuD7dt3oHfv3iCgTk0tr3VNb4AGx3MKR/JkSSvvTidA7wTofAP07HfexFnvPkjIq2UbUv8xY9GtpzED6D8FLoRnxnk5QK8cEQibf3Pl67Eq/k/U/PczxAu3wBAAnS7MpV7NNmRTn1AboBMYKb4rwY85RZDcSULS3l1yQbB+lbcQ8uXiFuPV4L2gl0M5s0U6CHFQPW8p1V3fy5fPQ+RgJ4gGz0GtsS3mjwiAha0QlZVJSE5eodOGWxeROE5hMB5qnWRZSQIk1QUFjMJJrd/bawEjI3SUMq+yxaQWm0SLVUjUzUuZElwrr0LCNztQkZWFPm+sgpFAgPm9vGHhp721GK0fC4sgLXql/Cd8b0Rps3H9v3T8U1SGzDN/I+OfU3JwTjmYFyaGQSDQDzinEWoC0CmbSZtEZY2Puj+Zt/ZJEsGqrkXu5f8Y5V/2PNQLBVg+NozzXtbW5iEpaZ5O7wtVi4UrSMOXuwVd40hiDvJr6nDpvbdYlwKemgr7kDC4e9jgyX5ty6AMDdC5ak35stcigbhTMVm4VVktfTdkZ6PP6++gi5UIowJd2tRzdgRA56y5dbfihXpMweyzdwsY6y7rxE9Iv3IN/pOfhkO3HpgQ7ArfUP5U81Wtf2V/16cwFgWGM27mS8F5UxML3FHdffSnH6KuQipGRvo91QG2eDVcKhLWkY3LZstcy8AVgd7M+DwczZMgL+oyUn49JmeSTHa1g0d/D630T/QxTzoxrerrgUmTgD17ABvl5a2KbiL79+/HqVOnsGDBAkRGRsJYKIBFj46rP5fNJ2kyUIJLWbOMdIERX9/0ToDeCdDVAuj+/kBQEPDNN/cp7lu3AmfPAgoZ9KaNG5G5ahUuePdCzJ18Jgy2yk2I9HEhaLKrwq7QRVhYGoPuby+BxalbaA3QJVueh/GBwwzEGgqgc23ImG3CwilqA3T60F67V8zs1cj7nDzQQ2fNh7WPH56quwrLba8/UAC9Mr6Aibkpa7pEKuklnhObi0O5xfIPzpBxbmjsOQNhdm54eGgXRl3saIAuU1JWNn4SBNOZRXBHgrycMvbhLU68gVv798g94Ae6ihE5sGO9vxXHzVl/a2QEC/rwaFgnLaOD/UHWMdW1uLphLcxtbBH+3DKEWAox/CEfCKw0zzjI+k0ANDz8OG/7EM6NqKslo9dp0ogO+MO5FJQ2NODSmpXspySARVZa8wPdYMEDQ4OrP5rUoHM+CzxkBqpvFeNqWhFT66Z249svmGBe75dfh4mlJUZ3d0eQP7f9pCEAOqe7BU+ArDQ6Fz+k5aE0JwfxOzez+SDxTBJIWzw8ACZiYZvbamiAzkllVZUpU/Mhoez00evZyK2pZWVQ5rZi9m7oaS1C/zBXqYuKQusIgM6lU2LiIAIxa3RpMhYXfSsltXWI+2Q1aqob0ee1d2BsZobnB/tzW1fpcnE1f8u5FnQUkCRNiiM3s1mwKmbTBrk+h6xr4QtfQFmQFx6P9EYfW0s1e6y/w7gCNtquB9o3JqRLcF5SjrvHDiE/LpqxzOycnDEjxF1nPSA+Z4PTglGVkKYaAJ3WA603aus+/BD30tOxaeNGmJiagq/AoK7zwanPEe7IC9uBlVlNmgSjR0Z2qrjresP+P/9eLYBubw8MGHAfoD/3HLBlixSgZ2QAM2Ywinvj+k9w74P3cNmnFy5G3WHqvO95WSBjuDdqPGpR7T4KQ1bOZdMlOpmEqpFBLQBryXevwejb7wwK0Lk25Yzau3ym2gCdMlBfp+axSDBFgIne3nPZCoiMjfGM4D/g45UPFECnTXN9sVSYpXUT6lBfRx+x5NuFjMIp84F/bKo3yrpMwaywELnaaUcDdBqz3lgEjU0ou5qD76iuEJBmypqa5NY5syK8YeujffZYH+8cTpE0LYShSPgnP6ucCeSVJN9B4p5v5Z62/Zys0W+Qr07D4Bugy7K8yjqlDc2/OrUEe+MyUFJZxfQHqBFd08rUBNN7emkM+DWdLE0AOnsWruS0X1/ZRzsVezovbepKY/OwK7MQNUWFiN3yKRuKzGrPQmCMeWNDVNaXGgKg6xuYEmsn5VImfs0vkVvMdZkwGU49IxBpa4kBQ/2UqmIbGqBzZcqIbksBXF1b5fUC7L6dgzJJMau7dejWHf6Tn8EQO2uE9XJr43fdEQCdXBhIm0JZ40Obgeqvc9IkLIhb0uzy4RTgjS7PLkKAlRCPDu+q8rnQ9T6o+j0Xu0qXOWBBwahc7MrIR0lmJq5/ta1FV2z9usJ94QIkeQjxXbhfu44/qvrP59+53C5IxEzU00kjGzhFPQrq581dX6MsLQV93nwXbiIhJvXxeiBsWGVzyEnxNhPAkssOTgbQqVyUykaVNBmjNT09HWvXrkVISAheeukldqQoxL6FaCSf91WTc5FeQIOkRulPhEH2bd5bmpxbdixpAtW9/j5MegTA5PkZoJLLB72pxJIaDqDTZg2AykklmzU7O+Chh4CvvwYoc/7BB1KAfu4ckJ4uBeiLF6PurQ+R9vk6RPv1xpnTV1F86yY+8LVEzjBv2ATWwGPdPvktUgbQS/evBbZuNihA5/oAM2rn2/PUAuhUw5lxNbsFTcnK3RNh859Hb1sL9Kg/iaYP3nmgALq+6uuoRulyehHiyqpw+8A+FN28jqee64pyl6fwdL/u8sxIRUUi7t59RacsqC4Ud1qMlfH5aKysV/rq0IlFUF6L6MuZzNe0IC4ayccOsWv0eX0Vy4y8MDaUWYY8SI1TGCrAjimoqtuIMk0WRXuzClHV2Ig7h35CYcI1hM1ZBGsvbzzd0xMuOlqL8Q3QOWn+QgFE3Z2Ykqy6LSsmBwdT8lGVl8t0GFwi+8P3sfHoZiXC4AgPvQv/aEJxZ89CbB6rEVfWyAfe2Ey79UogJOF2Ac5KypF+6k9knf+XXcJz2Eh4DBqGEQO9EeaqOlhVW5uLpKT5Or0vVN07TmCqKkOk6uTNPs/nozKk78b9e1GUmCDXpJgf6AqLbsrpzIYG6Ny1lror2hNFtPBKNns/yMrBvIaNgvugoUwgzrOve5v11hEAXbEmtvXtNTIxZp7MujQC/3tu56CyoRGxmz5GjaQYfWaMhbHfQDwe6grv4I6lt9PY9FUKRnTm7NtF0j1T9BWk/HIUIgdHVBUWMOebhqkTUGBjii/CfCHiizasy80CmPUgCTy2JxSnqaAq2d1KbhdjX04RKrIzcf1LaZCCaP1uQjM8+UhAhwdoFKeMyhcpkKvMdo++jZZ9ObSLVAB0RR2Uf//9F3v37sW8eXPRt28/SDWheKSP67AOOPU5/Gx1dlxgc3w5R4q1QkOBYcMYQDdxErE9A713HsSmEktq2OlOgK4A0C8cOY2e/t2YaJWpqwKViAC6WAwMGiT1Q6f/P3GiDUBvWrwYlTNXIuPwZsT5ReCvY6dQW5iDtd4i5A3xgShMAs81RxQAeiKqRga3AKxlBz9A0+aNBgXotFGoJOXedqodLN5fDGMbS5UicRTxik/KZzSlxB++QcndZHiPGgO3AQ9jvJ8jnPJ/RuP7DxZA10d9HROfi8rB0ZxiFNbUImrD+zCxsMCzC5xRa/skHh3WWx4NfBAAur6iocTMOHw1HdnlFbiy7l227mkt0JrwdLTE5MEdK/yj7F1JivPUb2VNU3oZ2bGUJBdjb3YRaoqLmaODkbEx+q5cwzYeT4zw19mqiW+AzgVKaE6EXcVqi/qR+FH25WxcK6vClbg4JO7bBe8Ro+H20GDMcneENQFePQdoNAXopBfQUK685IUEE7WN4tN5DyTnQVLfILdc9Br+CFMtL7Q2xepRwWoFPlJSVqO8PEqvAJ1TPFPLUg/F54kA2U+3cyCprkHMxo9gLDBBr5dfg6/IDKNDXGHuqzxQYWiATn3mYhfpErChc9O3596dIvxWUILsC2dw7+QfCHxmOuyDQjDTxwm2EW03+h2h4k77Ai7lbl3mgdZa+dUcfEu2Yrn3yx1Gvj4HZpZBeHZkIMhRpaMblxc6gTKLPi5qPb+K45AFPg7mFLMSoNTffkbu1UsIX7gEFq7ukFgKcNtNiPWBnnAXal8GpY+54yqLpPpji55OaoMoCorvS8pGeUMj4nduQWVuthyg+3naYHzfB8OWV3EeOVmHka5KGUDs93V1wOTJ0r20kgy6Yv35Dz/8gLNnz2L16tVwc3Nj3x4+RHv5WA/6cryR9U2uc6AA0GV/ozJDEbEZtQyW8zH+9s7RCdD1MLuyST373e/oGdwdpk4WIDEceSNAToIOQ4ZIAfrcucAff7QB6PVLVqBoylKkH9mCOwH98NvuQ7AUNeANsQCFQ31h2iMHXm//pgKgf4imzZ8bFKBTh7iUOYXrV8DEwug+QKeXzJUrwMCB8rHQR5wUis9kl0gFb77ajsq8HPR5fTVgbIRFET6oS9r3wAF0zvo6LWvLaONVlCrB/pxiuUKxa7+BGDOkCHauz6L3sJ7yj3lFxU3cvfuqThtuXTPo+oqGUl3Zl/EZqGzOntJiIa9ngZk5ZvXxga2XZvXMenj025ySaz0IrEwhClOf1kobjwO3chgoi9+xic2DjNIc4mmLUX11F/zhG6DThHDpMmhC51Scy4MHD+Kvv/7CmJmz4RPeAxHO1gYRu9EUoOuj5IWCHrmXs5lCteRWIpJ+3C31+J01n62/KcP94SwWqbW8aTzU+NQdUHZhYn5Q1lBZ08UDnFglpOpPIqKkT0I6JS6R/eD72ARWXxvZw63deuOOAOhVCYUgVomyJgq2h8DWXK371vogFhSPyUN8SQVTcL979CDyr8UwfQYHR0dMDXWHMMCuzbk7IoPO9gccgStdKK103szCShakyLl4Hml//gYXTxF6zJoKV7swjB7pr9X86uNHnM+EFuwaKn+qza9iwYnaEgkrcaDWd+W7MBKYILSbM4YFOD8QtPbW88nFsqFjmXaRm+p6eXrHlETnYndWIWqKixC7+RN2KVnJS/9ID/T1ttfH7dTpnJVx+aBst9L3I9daqK0FnniiXYCuaGn44YcfIjMzE5s2bYKxsTFjXXJ6wZeVcXqr6zTgVj/mdLxxFLURt9Tk2i20gJQA9AcpUNF6XJ0AXZM7reaxrQE62USIQhTEegigW1sDQ4dKAfqsWcDJk1KAfv48cO8eo7iXLl6JXcOexID/9uJWl0j88tUeuPla40VBI0qG+QH9kuG94h95r0Qnb6JqZEirDPo6NG3+zOAAnYvqbfbxOzAzr7oP0BMSgNdfl4rlNbf6Zj9tUutuamxE1Mfvy8WwuorM8ehDPqi6+N0DB9D5Vu6mSDvRZE9kFyOrpo6pkZIqadi859DX4R90D58D5/AQ+bw9CACdMxrqYQUzT81t8Sg7UBqby2puJbeTkKSQPe1hLcLD/b1BYO9Ba1x0TqKYWXR3UivrTR/vO5cy8XthaQvaHnl/m9s7YNqQrnBwsNB5+PoA6LXZFai9V9pu39T1ulVU+12/fj1SUlKwceNGmJubw9TFot1Mqc6TonACTQE6Z7DKx6Yls0rNjlLNZmJsLv4uKpVnybpMfIJpEYz3tIdf35Z+31ynNRRAr7pZyCzAlDVdgCmxU45FpbN3o0xENGjqTIj9gzDF1R6OvV3afb46AqDX3C0BUXCVNV38iIldU51SwsAZNcocVhcVoM9rq+ApMsOEAb5Ky2k6CqBzPRcEGlqL2anzaMgENM8XlyOpslq+Hp5c1AWljsMwvtvDsFfch6lzUj0ew8muCXPQSOxTGqDJRWF1nZTefvUyUn47BiMTE/R98134iswxfpS/2lloPQ673VNzlYOpG8ym0p8LN3OlDidf72CimdSI3l5vbITF40IgNNGurEifc6L1WpAB9N27paxchcbWRLTUYz41NRUE0EVCIT7fuJEdpdLikhTPFfbk+hw/fRvoG6GskeitKIxb7JSrby00ULZswZmCAhiPHImHH36Y/cycBwq9vuamE6DrYWZbA/Q2ljoLFgAWFsDw4VKATvXmf/8NzJsHFBYC+fns36qWrcWhoRMQcnYXfjp3F5l19Qjo4YB55dUoH+6L+sHX4fPCZfkIlAP09Wja/KnBATptQmgzovSB+3wdRILCtgD90CHA2BgNVY1MRKa6sZHReUtTknFz9zfyzEhfZxv0G+iNipNf8ALQ67JvQ+DgBWMz9euB21s2avnAC9SvuaWXS35iIQ7kFqOpoQFX1q2BsYkAEStWolfDPvR+aCGsvO77Xj8IAJ3r3murykqgPyelmG0+cq9cROqJ43LbnGfd7eHYx719GpgennFNTslVh6zS57T5QjVpJfgpLpNlz9NP/YGs82fkWVM7oSmmPxqksSJ86zHoC6yxjcK1fDS1k0FVxw+d0WKpTrG+EeXl5Xj11Vfh4+OD1157jQ1DFwFGTe4lzVFg4JcwN5fShRMT5yM4+Kt2T8EVnGjDrFKzIxT8vHg7H7ElFYjduAGNDQ3ovfx1Vu6wiITyuqivgq2ve956KJTdq8uXKgm3brpskCRJhdiTkIVShVpTyhqLHRwxzc8ZlJ1vr6kL0OuLMtBYIYGZVzc171D7h3GuB2cLtlnUtMmCgKeLSpFSVSv3/RZ3DUDQtNkIdbTCiEG+SinTHQXQFam3rcdr4iCE0L9ttl/VvNBzkZtRyr4RpnWViN+xDRU1tZi+xBO1lkPxyIChD5Q4GDHCSERTWSO2gyb6JBSgoaDHjfIq5ngjY1CQcrnI0QkTA5zhE65bbb+q+df171x+4HRudQK5ty5l4s/MIjQCjHVZnpUht+F8IswdHkEqgF5REUACzgZuXGuB8/0oA+i7dkl1rRRavaQGlEGntmvXLpw/fx7dunXD0qVLWaCGSkk4XWQMCNA5dSmMjWBBtfIaOt7IpkJxbu+99houSCRoHDwYU6dNY+e06O3Mn40bz+umE6DzPKF0utYAnb1cFBV7WwP0adOAf/4BrKyA/v2BykoG0Cte+hhRj06A5Z9fYv+FVGTU1KLnIDdMySpFxWSgrnu5aoB+6CM0bfrE4ABdFs1WNr1GmzfCEhltAbq7O+pC+qBmwFj2s5SqGvydL8HNH75BWVoqQmcvgLW3L57u4w1XL1uU/7mTE6DXF2dBYEMPH3fNGW3UMG8ubGZ+yMtq4KIrUSRQExssUq3+JSGbZYhkHxwrDy+WQY9o/A69xyyFyPK+cndFUSyKts2G11uxGo2l+sYZ1N68AJsnXmdez87OU+Hi8qxG55AdzCkSqKVaMUXX/00tZOUOMpG88EVLIXZ1w6xuHhApoW9q1Xk9/IiLTUKXI3YNsWzaawycxuYjv7wGZ4tKcfrzDaivrEDE8jdhZGqCJ8Pd4R6gfYRZdl19gjWuOVBHzV1xTZGPK/m5TpkyBcOGDWPAwyLCMB9ZKUD/AubmbmzaEhPnITj463bvHZdCsTYetCzYEZuHmKJy/Bd/HbG7voZz70j4jZuEIAshRkR6ql3TT53W5z1XnBR9sGro/DcupONkjgT3Tv6O7AtnYWplzYIV3kIzPNbTgzMTqy5AL14+AoKo67yIkSpumlsvGm2oloxhRfTY2gaWPW+oqkLM5x+hoa4WZKdl4eqGiQN84OOmvPynowA65zdCC+FANg8xefgzR4K0snJ4bl0H27IaHPHtgslPm0EkHoGBo0bByLR9Maiq2BMQdh/NAl2GaFz6JJqyKSihQXNKTgaJ8XG49dMeCIRCRL7yFoTGxpg/OogXqyp9zwtXMFupXklDAyCQZsSJJl8Ul4e/CkuQW1GJqA0fwMLFBd3mL8akPR/A9YttMHVQEfghUMrhKa6v8XO9HzkDuRwAXfGbS7T2hIQEfLxhA6xtbKBWEMyAAJ3mlasOXxe9FlkpSVxcHIy2bcMNAL2WL0dQUBDUTZDo676rOm8nQFc1Q1r8XRlAZ1RWmTgJAXShEBg5UppBnzJFaq9maQkQ7eLCBTS6eaEyrQ53xk1Ew287EGvTBVHxd/D44HqEns2FcfcMNNWVwvpsnryHyjLo5Yc/RuPGDVoD9MbGGlRU3IC1/rdoRAAAIABJREFUdS+NZoKBChKKa2hq+7utW2HRlAnj3d9K/9ZMcW80NkVV+KNoohcDwNS6L8ZdQ+Le75lKdeishWgUGOHF8WEsAqgKoDPgvexlBjq5Gh3XNH0qbBd8ptEY2ztY62iokhPGXsrAmcxiGNXWoGzdGiQA8Bg8HJ5DR6C/7ScIH7gaItF9gF558y/UPzdd481kyXvPwujk3+x3ugJ0TrViiliS/7cGyt1M8TY2Dz9mF0FSVMRq68jflzJlHiJzPD7I74GwCmlvPch8edv7uyql1obSGlTdlEbCjx49ihMnTsCpVyS6jJ+Ep13t4NzbVS2avKrFrU+wxmW3Rv1Spe5fc68UddlSsb1PP/kEt27fxieffAJLS0tWt0s0aUM0TQE61UiTVWR7TdP6a0ULSwpSULDimQUL4RAUAidTE/gP8NRI7EbxnqekvA0Li2C4uEzjfSo5awy19L6m98KFf1OZDzwFLytIo+S1t1lAdrKzHTwGeDBWTc3dGJh6BMPYvGVdvtoA/cWhEMTe1PidqmwSudS7mapybxeNaMiyjHx0aQViy6rk1Gb2vZyziK2FJWS31877tqMAOifTjBIaXMJYSiaWAh+SmwVyxl3Q7m/gDuDYw0PwyMBc2IWMQESv0Sr3AZa/3oTASvt3Sdnxz9Fw7neI1/+u8hniEpSl4B2BEhJIU9Vkayq/tg7HcyW4tPYt9hPn3n3gN+5xdPd3wNDuNBvSRs98t24/t1kTkp3LgJoaiJftVHVJtf5eX5oHExtntY6VHcQZyFVWi0x7xZ9/BoyM5LpH9Y1N2HrgEG78/Rc8Bg2F57BRmLp7Jex2f6f63tL5lNDFlQ7iyBEgIADopjuzhitwZ8RltVZTAzz5JPD9920y/zJ7Ner7G2+8wUSb161bx4ZCmlgE/DmbgQE6l16Lua+NVuwXxfftgQMHEHTyJAPoz2zfzgJxmr5nNFrMPBzcCdB5mMTWp1AG0FtQMAmgm5sDo0ZJAfrTT0trz4n2Pngws1qrd/dHQXIZDg8diX4X9uBOYH/kugSxSKB5fQnMTO7AuKAlhVx08gaqRoa22EiUH/4EjRs/0hqgSyRnkJ6+QSsRoXbrDrduhdCoCCbfN3t0NgP0GpE76oIigXHjUFlRgTxjE3z40jI2vbK6wq7eYoyN9GL/pg5Ab5ozG7az16v8MDfNnA7beVJBEV0bZzS0NY0xKYnScMDEiW0uSxHh1OhsFhVvOPsv+p3+E1sVBE8G+byD4NDPWgL0hD9Qv3imxpvJsvfmoOnkb7wAdBpIRUxeu5RmTUEJgbOi9FJG88+Pi8bdY4cQOtAXQUNC4eEyGv2HKKdv6nof+fw918eHrsMl2KL4W6J0SyQSrFy1CmYOTvBwtGS1ZHw0GVhrvXm7det5iMUj4Oz8pNaXYd60tCYalQTsAJg6idqlZjPBSMoS1jSgvq4OL738MtxcXbHyLelGVNuPtzaDkQL0nTA3l254VVHc6RguwUxN6m1Z9jwuDwT6a6qrsezFF2FhYYENGzbAxMREq0CFIkCn/7ay6gU/P6m/PJ+Nq8ZQW2stKv85fvEe7lVV4+r6NYzK223BEriZmWKcn6NcgJEFahcsgM30tS2G1BEAnTqguHFuPcealGrIsucVVXVMJK+xthZXP1qLpsYG9Fj8MoSOjpgywBfObu1rfnSEirtszJxMs1AHjTRFqPb4YmIuC1Kk/fEr+l+6AF9zY5xd9ibCjfcj/JHH4OowXOU+wPKXBAis1RfubH3C4lWPQ/DPf2p9f1UFLcn5hzLpqppsv5FUUY0f9x9A1sVzMBEKEfHKW2g0FWDOmCDYmt5nEUoB+jEYGbUE/3wHayRPBkF8MElV91v8vb64GvS9U9aUAlUCkceOobGmkZVRydrbb78NSWkp+i1/AxM9nCB8/ynY7P+VX4BO1x42DFi+XKMxKjuYJTUokKv888hKdYyFSpig7QB0RXu17Oxsptw+xdMTw6ivlpawJFq3qYpafIXgh84DVOMEXPtmbUsjFQPaFNgfeesWA+hTdu58oFTs25ueToCuxsLR9BBlAL0FZWnhQsDEBHj0UeDLL6UqjBcvSkE71aX/+y+ynIOReScfF0c9Ct9dG5HTMxJVEcPw9L51MKtKh7F5NowLWgovCU/EoHpML1ifzpbTtDoSoCtmvVrM4datMDWpgfk3UpVRyqDXv/0hqq18AV8fZPXqjTVr1rSwaXv3ow0oMTeHYy8X+NhIMyG8AvRZM2E7t7k/mt7wVsdz0VrpI8MsQ2QZjU2bgL/+UirGIcvEUy3+56tW47G8XHzr7ILwhUthY22OCPcV8Pff3AKgV8SfQMMLs9XaICh2u2zNLDSd+p03gM7p/+0v1sivmoDd+bwSxOXkI+YzaQR40oJACO3tMbTv87Dqqnm9oo63WOOfUySXXAmUMkqazyYQm0MYaNcis6FYs5qVlYV3330Xffv0wTwSmuQZnN4H6C03b/TvYvFweHm9rPG4FX/AJQzFauJo06Ak06e4kSWaHtH1Hn10NCZNmsxOb9FT//ZqsnFIAfoOmJtLhdjUAegEHihbpqxRhlOk+D7gmGFFsZvPP/8cN2/eRO/evbFo0SL2K03rVuk3hgLoquz2NKX0Ut9Jl2FXTAaKcrNxbfsmJpJHYnkDxFbo3tVBDm4YQ2rOLNjO/qjF7HYUQOeqx9dE7FCWgY0trcTl7DzEbv0UDTU1EDk6o/vzywB7IZYNC+R8ZvkGZZq8IListTQJXNE1CdQdScph1OboT9dhUlMdIrxFODrtTfSxX4/gHvNhZzeUs3u0HiyOxcFEzOE7rWKAxe9MhODfi2p9f1UFLeldKAp3VGkLp0gLp6BlYUEB+q94E40iC7h72eDJPi1txeiZDws7AmPjloBPMrUbUFEF8bFkTW5ju8dqA9CZJ3pUXrsWvW2ozgQijxxBdVo5yOWDWmVlJV5++WVWbz1v8RJYCIzR8MZDsPr56gML0KnfsjIFZRParh1pdTXw1FNtMuiKwFTGunvX2Rmus2ZB0CNEPXu15uAH6UIZoikyBVtfT5tyMLYWruWDym2pLVmyBIvq6+UAXVObW0PMQetrdAJ0Pcy6MoDeIhpKAJ3qZsaMkQL0SZOkNmOmpiyr3nTqFNIdeyE3NQN/dvGHx/49iAfg89ZaPLlvHUTlN2FkVd4GoNc9+hBMfz//wAD0diPEW7fCSGgGix1vM5GG+ovXUL1tv/RO+PnhjJUV9lAdUHMbPXo0Jk+eLM+UlXw2D0auXjB2cOOsQZduzNTMoKtxnLpLhfyaK6Lvlx60/l0L9cx2AHprWvSnr7+OkcXFuPzGapiZmWJEmBtqa+bA338TRCI/+SUq4n5Dw7I5am0QFPtVtnoGmk7/yRtAbzc4Q9lSN0uYe6vODFD/aB4KY/NwILcIqaf+ROa5f1nwacaKMJib2mDQmJc1qulX9x7q47jajDJQlJirmSjQ+GROBrLjidpOH9uFCxcgIiISjBLby4WzrlKTcdwH6EdhZHQ/us4XQKcMOGXCKSOurLWnz6DIxPn6q69w+coVvPLKK/D39zd4FJzmIiBgO4RCTzaOpKQFnCJxNE6uelv6u7r1dTL6Z0NDAxYvXsymkAI2rq6uMLYwkVJiNSgdod8bCqCzzRKHlZBaokWtFk3etTz8eCeX1Z5TDbrMSmmCkxieIY7yWnz6DjTOmQnx7JYB2I4C6FwimszzuZeTSmozZciq4snhpAm/F5Tg908/QlWhVMG957JXYC4WM9VuP2tuu72OBOiKIKL1+0DTspWK2Dx8n5ILSfo9JHyzE3NdrRFo2YTEhe/CzeFNeHRdoh5APxIFE3tPTV6bLY4tXjkOgnNX1P7+qvomkDOJMNheuUBWbS1qUwtR25xwvnz5Mr7++muEh4fj+SVLcKeyBq49nOHh0NKeTArQD8PY2LRF3yXTuwMlZRAfT9F6/Io/1Aag0++5HB/aBG7Gj0fDDz+hKlHKJq2pqcGyZVLW5bhx4zB+/HjGxKh7PhRqsSM0objzmEFnfVco42p9A9plU7QD0GXJnbq6OkZvLysrw45u3WA0ZgzMhvRUz0mnOfjBkokGaKzsJap9FoFaWX+Ffiqytn7//QSOHDmKJaRb0pxBV6lib4Axq7pEJ0BXNUNa/F0ZQDeh7FhQc20TAXSKSo0dC3zxBTBhAinLybPq9X+eRb5LODLupuKwUITgc//gGgDft9bgiX0fwbLoLJrshW0Bep8gmF5JgvXfmXJhtLJDG9C06eMOobiz+ssYJQ8ceRGKRDBf8xJMnC1Q9WsMGvcfls60nx823bnDBC3c3NwwadIk9OjRg4lamHcVsw1o6TA3NAT5wnTybP4A+ty5sJ3Fj0gc+8g0i7YoWz4tRLGUAHTKspLthizyRxnDwoQEzBWLIXpvLWxNTGAX4YKEpMfh778RIlEX+WUqYn9Fw4tz1d4gyH5Yvmo6Gv/5izeAzun/rUHNMAHa6vQy3KmowtY1q1FdImEK9mHGP8NVbI0ej3HrC2jx+OrtJwygUha9HZq37MK0ITOxNW8R/c3Pz8dbzZRuyp6KRCLeBU5kYK11dkUK0IfBy0t3Kh8Xs8JMiQWfoj9uUVERVq5cCbFYjPfff595ueqiAK7NjZYC9G0QCr0YQC95NhTifTdYDSRX4/KCV6seUIEqT/ZyVEsYHBzMMkXU2s2wqBikIQE6F5OAuqnJhomeoZvn7uFkQSnuHP4JhdevMWBqIRZjursjrHs5wdhcurGUAvQZEM/+uMVsdBRAVxXAVWc9yGyZ6FWyI/oa4r6g4icg6NmZEAcEwd7XFtN7e6tc4h0J0Lm8r5m6sprKzRTEzYjOaWEvtrirPbxRC+PlH6HIajE8vZerBdBFBy7C1Pl+wFvlBLY6oPjNxyA4H6X295fWcTVZEJbXcV6KArfEMqFAlqw1frcHVaduoOmFF9g/yZg0U6dOxZAhQ1jQziK8rYuBFKAfgrFxS2FSyYzuMCoqhe2vqZoOW+nxkicCIT50S+NzcdbmtxaZHT8eVWu/REO1NOgbGxuD7dt3sP9ev24dxHZ2LMBROcEblsfjmWgwZyNQSvvT9HTgoYdUH8sTxZ0u1MIOrNWV27WZkwH0774DHO6XuskE186dO4fdu3dj6NCheJYU6h95BKKJ/dUrH6G5OHxYmjg0UOP6ThK7kETd1G3VdyRsThWfDRlAn7rra2Zx+6C3ToCuhzukDKC3oHASQKdGDwAB9HHj6M0iB+3Vf0Sh3M0fKbeTsSXqMqhy6q6zI5wWvIDJu96EVWkMGh1t2gB02VCs/kqTW4aVHd6Apo0dA9CpP2TzQAIYLVozQDeaNw+mXtaovZjIaEpoakJcRQW23b0LT09PUB0RtdYfa7axCusK08dn8QbQMX8ebGZ8wNtq4MoOSDOfzTVASgC64m9ra2uZLQaR7lb4+sL6jTdYZog25PShbQPQo39Gw8sL5BuE+oI0VHy7GravNAvytTPCsremounsKd4AumINVOtLalJzWhmfj8bKely/fh2bN29GxMOD4Dp6HDwq9sDDRwD/Ae/yds8McSLOdaHQATNvG7l3eGFhIfMwpSh4QEAAVqxYwbLnDNBY8ef9fh+gt8yu8AnQObNmVqbyumHZVCgqHZPIy8mTJzF//nz06dNHahXTk9Tb1bct1PUetwHoTwdDfEB1nSVXpkwdRgmrPyfRzaYmNgc0FwsWLEBkZCQbkqbZBdk8GBKgU8CW2e3VkwlS22bmaQ0K0qjTGsprIYnPR25NPba+/x4qy8vR/9WVsDYRYKK7Aywj7ltKMYA+ezrEc1pqjHQUQKfxcQVwqdRFJAvmK5kMRUGp/OJivPW6NEjp99gEOEf2Q62JEaaPCoSrSPW7oSMBuqJ1orJ7rm7QqTpZgqiUIkSVVuDOwX0ovHEd/+vhBufyMtit2oi7RnPh6fk/tQC6cN8ZmLkHqbMElR5T/MYYCC5Eqw3Q6SRcgQrFi5BdrzDUQS4CWf35btRHJxF3Fzk5OVi1ahU7fOuWLTAxNUV7ZQL0zIeGHoBA0BLsFM/qCeP8Ytj+lqb1+BV/qC1AVzUfioLLDZOeRdX/1jMQ2dTYiM8++wxJt24xG86uXbtCVrfOyheOxsDE7r5YntJB0p6cNKH271ftAc5zBp3Laoy+96yUy6xV3XhVlbS/CgBd0UFJZq+2cOFCRFy8CKNRI2ExbYh6lmU0PrI+NlP9HuFlwRCLILUEdbmVyr8P7lZsTavTmD4H2bI2NOLu3btYv16qQyUD6LN+3wdiJTzorROg6+EOKQPodBm5nVJrgE5U9/h4loVpGjcBlX9cR52nF+IvXMRXKckMoKf5eMJh2jxM+nIerGqz1QLolVeOou6/EzA6dJR9MO7eXYmKimsaCb7pIhJHY1aaSW0G6Jg7Vzr7WVkMoJP41d/37uEPELngMUyYMJEBEYoCyxXwmzMiDWH+MH18Jn8AfeFC2Ex7j7fVwPmypdphHxvpC0IJQFeMIv7yyy84fvw4yNRpdffu7GMsU7xWCtCjjqFh+UL5BqHi1PdoWPOqyg1D2VvPouksPyruNImcKv5q1g3TJrwqoZDdkx07diAmJoZlkb28vJCRtRMmAZXw79ayrpS3G6jHE8mCDupe4ssvv8TVq1fRr18/TJ8+HWZmZvfXj7onUeO4+wC9ZXaFL4o7dYErcEN/J5aMqeN9Wq6svpKCEywwAWD79u0se84lrKfGcLU6RArQt0Ao9EFTUyNKng6F+ECiynNxZUdasKvaOZMiTV72LMgyRLRxF/VwRFNTQxvaqqqOGRKgU1846/HbyfgpG4Msy1ZaWsrKHcLCwhi1taaxEZb2ovtsNVkGffY0iOd82uJUHQnQVQmEtccmoPdqxeUcNg6ir1IQu7i4mLHN3nznHeTV1uOumxBjApTrObSey44E6NQXLscT+uarynKxoE9MHn7NkyCzvBwxn6yDqY0NXg4Qwb5QAocN23CrbLr6AH3P3zDzDFP12LT79+JXR0NwKVbl97b1Cbjq8RWPlbHvmDr1xoPSfeOSJXJ3j9mzZ2HAgIGMaUjaFm0AXXNZS2jofggELcsfiuf0gnFOIWxP3NN6/Io/1Bag0zm4ymFkeyd6Fqqn/Q8Nz7/IQCSB88TERDg5OuLdNWsgEAjk5XQMoKtTvkCglFTRDx40OECncXOJ6yoNuMgA+rffAo5ScUNFsbV33nmHBfY//fRTZjEmGDsComeGqXd/aS4OHJA6ThmocZX/kBUtYSiljZJ5pOnVzHpQDGLSOzIvLw+hISEYdvMmEpoaMT/qZ43cMgw0/DaX6QToepj59gC6XKmYAHpjo1S5mzLoo0dLrcaamlA3+gnUnI4DvL1x/ugx7C0vYwA91csdjjPm4aktEyE0auAG6H8kw1hoxah9siazz6L/Dw8/rvaodQXoTPSDIlmKtF5lAP3wYVyLj8dtAH8CTCTOxcVFab0y21h1D4Tp+Om8AfSmRYtgO5Vf9eKqpCI0tGYPNM88E4fq4QSjLZtbiMQp1p5nZmayeaD2f+x9B3gUVfv9me2b3iAJIfTeBUUEFRQVEQsWpIN06UgTQQQsIE0QiIAgiDQREMFGsYAdKdIChJ6ENNKzSbbv/J/3zs5mNz0h+v3gf9/v8dFvszsz98ydO/e85byLJk2C/08/QTVrsmvzKRF0Sneu77qfece/gn3KKNcGIf/gZ7C9N63MDYNhVm+Ivx2usgg6XVBpUSIiFeQRLs1kMSVDTg5IvbxmZCRmzpzJfpKYthKKxiY0aOC56S73xP4ffpGeCeOZNNa7+OzZs9izZw+GDRuGiAhJeMzdzp49g1WrolhGCTknaONVal/U2xhXAUHfBYVC6zpSVRJ0OmhpvW7p73LaujuZ3759Ow4fPgxfX18sWSKlKnvdU0xE4TbGX56fSs+cJMxYEYJeWqu98mSUuGcekKOCnDTz50sZP7Rpz/TZi6ysn9G06abyDMPj3srvhH9TxV0+YVktB8srFieXSpw4cRwff7wOL730Eh6nrijUEaGWHzThBdERKYLeFwFDlntg878k6O4RnpJuWHGtB91Vri9dusRaDZKz6sMPP2RzoqJ9ff+XKu407tIcV/R3ioDqmwaV2EbSmpIH840cxJksOHDoEI5/sw81uzyGgaYYhKRnodrGjTh//cVyE3TtpgPQ1mlToWfI/cuZ05+A8ujpMt+3hU9Q1nPh/n1qKWlNNcK25wAj6Kkvv8wcNf7+/iBCRq0nS3NeShH0z6FUekYQs4a2g5B4C/774ys9fvcfVrYGnY5Ram2+APi0D5fmzmvvsQ4NiWlpTI+DjGqu69SRWs96U0tXpYLthb2+PAZVcBllH0RKSbSZIsdfl7FPruIIOl1vaRFkyRHrJjDMXqb5QO/egBtBlwMA1Pf7o48+YmJ5lIVJqfuano9C80Lp3Qxc95DGR5kE+tJ1LKpksjgPUmrmJZW9UOapW5mHx7USnxo+HIVLiGg+UHkcOSkU5NxvXg/BcymW/n/fOEH/F+5RSQSdTsVeupPGAnY70LOnRNBpYaF2azYbjF16w/7XP8gOCMA/+/bhYJ36aHfjKq5HhEMzegRGLHwKWoVwxxB0ttgm5rLIicuKIejm7dtZahIR9DbO9CTWWsHbKHnwAguUutnGqk1TqHv0rTKCjtFj4NdHShGrKiuttyWdg9Uabl/vQdCZUAgpPtvtmPP220hOSZFICbXH2LMH3p+87RIFoxdt7dpvws/vftcl5x/7ErapowsI+nfrYVs4q8wNg2FGL4h//lKlBN09Pbk4TIlYMF0BRdEUZXeF24MHD2L37t3o378/HqY2hADizfOgruFV5QTdbjcxclpRsa2Kzhk5jU9OV27atCkmTZpU5DCUmkUpWpS+WKNGDancw/mSstmyoVL5V/TUJX5fJuiF0x+rmqCbr2WDPOUlGYv+tAhmGgysjsxmw2RnKxvCg+rvS6zJqzI0ij+QJ0G3I/vl5uWKoDNCdlxKUS/Oyqqvk+vp5PpzyqYY6sxAIkKabF2F7OzfKuR8pev4ryPodM7SokSsdKN5CBP/K8ncs5M2bdqEP/74g2kT1Kolbb4Liw2y98Xgvggc+n+HoNN1utdIljRWWY9C/ru8pppMJkycOJF9zNJX27UrduyFjyvabbDEn3OR0KqIoNsyblZaWI09F6ek1oElrgelkHS5BSVFyOSSuBnvvAvf/evhe/MigvceZHO8Zk2qQS89ckjzRPPJN9A1uK/Sq0jmlMegPH62zPdtcSegVH1ZibxcF/DLL4yg7wgMxE9HjnjMA+/7wkpMYyY8mjbdDpXKs5wkc9i9UNxMhv+Bm+U6fVlfuh2CXpawpuvctJccNgzvLF6MmzdvYtCgQejkjKK6O7jo3pZLX4BIKYk2U8nl/4Cgu2cNFvueaBwIVYBbRLsQQXd39KxauRJnz51j2gTU7YMIur53Zyh7SI7MMo2w2LFDav/8H5pcP1/cKUt0QNK1Ogm6+7pKc+Kdd94p6HYSFQVtm9pQTx7xH46o8qfiBL3y2JX4y9IIOv1I9+liqEyZwAsvSASdFoIxY+CwAfmdegHHjyNZr8eFgwfx18OPotGvP+F6WHXkT3sF0+a8UCZB9/4uBlZlLizdpJc2WWkRdFt6HGwZidA17OD6vtmcDI2mGrKzf690H3T5YPQSNtNGO9MEqqlOnDUL2RYLImbPRgil5SQmIufTT3EjNhZC48Zo6dyMUx2h8OLzAKV2vyOln9vzspD3VGPY2zaDunufShN0qleypVyBOryRlGkwegx8X54N8/UT0NW/D0R+LlwYgJrfekPw9kPA+I8rPFNY/+azBWJvhQ9AfS31h7dD+EFqs8bSwk+lQvzjKIy//opJFy+yyClFjZUpKdBsXwPNF+tgvXWdCdmcO9kDCoMVzTofRP6xPdC3fQbGE3thmzbGtUHI3bcSjqXvMmX/nJ3vwL+3pxPCknABmoimMLz+EsS/fq1Sgl5aupKMRUl1p3JkhL435623kJ6Rwfo9EzkjAnddMxE6n0jUr7cI1sQLpaYlpqbuhl7fED4+rVy3gD6rVu1Fj1vicFgRHf0CIiLGw9//IdYn1j2SXOEJUMYPHGYbu9/k2Y2JiWEpWKPHjGGRMHpOKJWZxBLl9F06nHu9siT2U7RdjsWSBpXKD3l51PtBCV/f8kWECgi6Z/qjew26aLNBuE1V17I2ITROipxRm16HyY4rV66we08RUoqUMhwK9QjOzv4LOl0tV3/yqrpX+Se/hVfbHq7DERYhIS8gPHwIHA4bcnq3KBdBpwO4t3wpfH2snr5VCISZM4DFRds9yqRWrsMnZw45dcgowpiQtdxF0C2WFHbfNZqy+zmfPfM0Ar5JQNi0H3Hx4mD4+LRB3brlK/WhNdSaeB6ami0qBHdZYnEeIprFHFmOrsnOiqDAQCx4X2q/yFTQqV2fm9NPIuh9EDj0Q4+jVVUEvbKOsrJqbdnFOhzQNQ12bcqNm/bDbhHwt8nEFLvJlo4fDx+VCorWzUvNSrLnZsCwaRYUX3zpej+URtAdplzY0uPZ+yH3yGewvT8LAd8Xja4SjtqN30JbT9JDqKiVNR/YfV21Al6fzYdAhKxlS6BzZ3Ya6h0t7tiFM2Yzog4fRnBwMMssyd+2EJrz+xFw6GLFCPra3dA1ebDIEGyZiSwrUaEvvftI5uSuUJ44VymCTjoTpksZIPXpEo0COURGQkMZ4cpIT8fNhAT84ueHsQsXsg4nZbVblAj6NqhUnvW8mcPvhSI2Cf6HEkq9hTmb3oDf4AUwxfwGdUQzj9Zlhm9XQduqCzSRLXA7Ke7FZpikpbnSuOVnA6tXI7rD/Vjx8Tr20bIlS+C1fz/UYwezTCzZGEH/4g+oQwuyDYsdJGFLgbOvvvIk6CkpQPXqnmKg5YmgX7kCNGhQoUfCeC6N6RIUZ8rRnX5sAAAgAElEQVTlC6DfvqLgT3l5QJ8+wIYNEH18YDqfAbtNAXLgTZkyhTn1yXlJplixFF6DHpcydkszOiaRchKv3rwZCAgo+duZmVKw0Zlej6QkIJwKMitvpZW90FFdGVKxscCZM9Lz4Lxv4itDXG36zm/diqhffgE1WaPyJ9pH0TPj1S4ciok8gl75O3SH/7Isgo4tW6DLj4WqZzcPgm62+8Ha6Ung6FEk6vWI+eEHHH3kMTQ+8iPOB/kgbFYg+r31RZkEPW5pO6h9ayF85B4XkoUJuuHrZbAnXkPAqJXIWjUaip0FL236ES3ikZFU8yncNkGn4zGSfjULv313GF4bN4K0FTcAUuRDpcKF+fNZTV3wAw8g4pVX4Op7SA9emzaMoNvtRuQ+1RCCyQp7uxZQP/lyOQj6EPj2mwvRlMMUPGmh9t53BuarJ2B7TWpHxgj62PFQNWwH2ySph3h6n7pIfq0JIqefZBjSZ5Uxa5qRjbsk0/z2DTSH97GXgT3bDErdxJHDSD70A+akpuLdsDBUmz4dyMqC16YFUOzdza5XuW4zMna/Dv/9ia4xJE1rhprBo2GfMR6itw6+X0Yjf/96OJYtgP7geRifaMa+m7V2HJThdeHz9GswPBLOPjNMfxHi0d+qlKDL9YElRQ0JExL4YhFhpQJMk2ADzQpArsP/5ZdfWMu9jh07YvDgwexvtIG/Yh4Ona4uamR0gm3aq6XeH5rL/v4Po1ataa7bQJ9FeA+EMHseArdGs89v3lyFzMwDCA0diKyru+EV0RE1a0lRqn/LqJXaxYMnseA9qYMAkXO7zQY7lcA4TSZjRDooxU2uK5QIetF2OfR59ep9kJFxEDZbBpo02QS12tlBwnlMo/G6R3s++Zmnf9eqNRP+/g+4zn/1s07QN3wE1ZuOQ/5zrSv9LLhjWFoqX2Gsjx49ig0bNmDgwIF48EFp81y4Vp3GrFT6o1mzLZW+VTZbDvLyzjGnjCjaWGYKPWvuzz6dR30zD/XbfQJlSGSFCHpZY9aE6qEZP7BI5MY9KkK9XKnNGnV2oLlCziqvdtURn7DYRdDPn+8HtboaGjb0JKSFgSGCHX3qGdR67ThufTIQRqMkdteo0cfQaotusvLzL8NgOIHQ0D7se3m/bIV99uQKzweWHUNicaVETRnJCNQCa9cCr74qbQKVSvYekSOu+6OisOfMGXTv3h1PPdUBKlUgtOGB0NbxzCqRCHpv+A6a7xE1rAqC7nBYEB39ImpuzIPv7C1li1AVugmlktMTx4HTZyCMHM6cN5R8kf/maiAlBbuqVYPxhx+Q2rgxJterByQkQL96TqmZB9lrxkHYvpNdgTynSyPo2eteg7Blm/R+2TyLZfnRf2fOfBKB8/e7RsIiz2t2QtdUym6qqJWlS8GOFxUFxZSJ0M8eDqF5M2DBAsgOTvrbXzk52Hjjhqs0Ln/b+9Ce/gL+h5MqRtBX74CuWdF+6VnP1IXYqjkC3/um1OFlTn4UyhPRFX4m3A/qXkNc5GTkoKBSDiJ9q1fjDBEUKifr0AH3DxmC4tKgi1vDmjbdUiT7KnNkeyiu3YT/D4mljlE+Hv1b7NsL9pefQWrqHjRuvEbqmPDis/AftxbZvZpUSsVdPrmcHcH+f26u1Ot77Fjg+nXA31/6Z80abNfr8efRoxg8bCjatW7D5qn3hrc9UqHpusolAChHYvfu9VQwp8/JCUgkT7byEHT6TlmR+EJoW2/lw3xdahtX3P33+nhuQcmHk6Dbo9bBuO5rwGAA+vZlWUWUXfTcc8/hqaeeYofRLHkLmmEvSrXapRldM3WMefddgDIWpxXsm4r8jIJply8DXboAU6ZIRHnbNuDnn4E//2TPaUWtrMxT5oRtUw3CZ58WZDo4CbrtpQEw0R4awJlRo7AbACl2ULCD3pXMwdGxIUAp/3eA8Qj6v3CTykPQBZsV+sdaQvGpFEEXx4xFPiIgPtAJKV99hT/S0hCQnY2/u3ZD458P4gdVDjrOr4Ge8w5BV0aKe9zidlD7l07QM8d0hPL8NfgdTkbW2glQbNvBoqyO/CzmEWUEJmIia8URH7+4wqmTxcFKRG3Xss2I+GyXi6A/1ro1OsTFMaEbsiY9e0LTvXtBna2ToNunjceN3T1R7dOr7Hv2e1tC3a2Xi6BnzX0BfjO3udTr6Tu0KGc+Hwl/R0sI3++HZt+fsD55P3TbjsAWfw6218e6yK0wfgKUtVvANlUSWKPfJsxuiYh3KApZeYJOG0pqrUVpmcWZ8POP8PpjJ4R9e+FKcTtyGNe//gbvGwz4qHlzKAcNgtJhhP6jOWyu0LUlvtECPkfT4PdTcgFBn94cNf2Hwz5Lar1EJr7Yk4kEJkU9jfCx30jf7RIGe7N6CFj5CwyPRjgJ+gsQj/5eaqZFZR6VstLcYTZD2zAY6nBfaXH/+msPITGqwadafKqtk2u0qQbvQnw/1l4uLPle2GdO8NgQ2e15LANCq5UUWyWC3hm1akkiY/JnmthchC8+7/rt9etzkZtLBGQgdL3Gwzy6F6r1WVVk2Ldu7YRGE4qAgMptSAsfkFK5Df8kg9qnUV2pu3Xt2hUvk0prMVFjqZawQI2XIrrXr89Efv4FBAU9iZycvxlBr1PnHfj4tPZI26ffUlYBfS8o6AkXJvK5ZZ2KhIQ18O03B/kdaiJ48hcwvtzxtjafrnnpEGGJzQFtRsjIOacuoZ2L3P+dUnqbNWvGvu9lvwnFA9QLXiqPcE/VLs88vXXrCzZHatQoSHVLS/saSUkfQ6OJgCia0aTJxmIJeu1xf8PeuQP85+5GTu+WCNh5oTynZCn7VB+I4rPcAYcdXgvGQ7GvwLFKB5ZLhGRNiurVq7O0PTLq8UuCYnFxC10EPTq6D5uf7gT94sUhrD2cuzAUW+PmtUbEnNO49Ul/GI1UYETBuYGoXl2ac+6WlPQJ0tK+ctXz5v2wEfZ3ZlRqPtiyTDDFOBs4Fz7Rd98BTz0FbV0/qIf1kTa4zp681gwL27zSfIkZPx7bfH3x3qJFSEz8CH6+9yI9cCsatlwJUbTi2rUZaNZsK7uHtsG9kHBfrEfGye0SdIogmo7tQ3zrC6A5oV61DfqWXcs1F1zPgSjCfFnKLitiBw4AFIEbO5YRb0GtgG3j56Ao1TKzGV0vXkSTlSuh2f89hNgb8N4iZRGUZNkfjYGwg7as5SPoWStfhWLXHumdsWUWsE4i6IUJ3+0SdLqespxXrPXV2LFQL38X2tq+jCy5BGijovDttWv4SRSx9ANJk8S49U1oz3zL9jcVSXFXr9wCfauiKcBsrrRugsAVR1zwZn4wGMrIBvDrJXWbIcuc2AXKUxcq9UwUvm+kO5FyKpaRC7VGw0qglGvWAI89xgh6/tKluHJV2g81Hz8eyhYtWDaN0q9AP4SccLITXj4+4dGkyWao1Z6R0cxRHaC8Ege/HytA0Hu/iLyerZGe/g3bI3oQ9D7NEPBF2QKaJc1Xd70Fe3Y2bOvXQzN5MhM7Q+PGLIsiZ8kSzLlxA8PUajR/8UUIHTtCs/IdaHZK2SWyMYK+7TDLBinV5GgsrTlbtkhOADL6nAhr69YFP/+XCDrr2PGPpEBexKKioH53OrS1nJkceXkQ+/aHccoSOPZ+A+TkILpjR1hXrMBqgLUjZVmqlGm1YCKUI19ha2uZGFC53fLlUvbqe++V/HUiujecbfnkdZoIOs1TKsGooHNCPlFpWQT0HZZJ+MMuT4L+/POwPPo8LDcykWu349qUKYygd+nTB49QOzyGwSQouz7ICXrpM+Du/muZBH3rVtqRQnlfa+j3rGaT2DZ2OkyOQKBjR5z66COcNBpB3TiPPdYdjQ/vx3rDNQxc1RBPv/0rdApFqTXohG7Cu+0R8ebfLqB9Dyfj/F/d4fBRo2nkOhhe7wllzA0Pgq6YtxiOOdOgO3QWMTEkWjURqX/NR/U1lxG4r2qEQ1ZHfYSWH30Fs1qHvcHBqJ6ezkTwyHx8fFCvx1PAo12ZeitTbqdF8J57YOhQHeLCgtRL+/1toH7sBUbQHeEhUCSlFWmjIRN0fbIGuj+vInZVe7aRIk+qLe6sB0HHhNegimwC2zRJYK0wQRe+2Q9f33sqNXHd07WLHOCnnyCcj4Z2+WxWk0hm//FHRH/xBbZT6mZkJNCvH7TeZqgXvVUmQaeosGNOQW9wxxNdoDh4GPHLOiLytT+gOXAclifvYwTdf9kPyH2irkTQpzwH8fhfVU7QWdrexVL6vFJk5KEO8BrxtIugy4JYZqqznDQJgYSD0xNLmRVXhWGSur9XE4Qlt4N95kSkbhiM+vUlRfeEhNXIyPiO/TdtGspP0GcjN/eUi6Bbhr2IkEEfFbllycmbmYp3VRF0OgFFE/NOpWDXjp24eu0ae6G0b9/edW4iYrrGQR4txSSCvgNKpVQjRo6J8+el6CaZ0qqBXW1hBP3GjdkeTjaZ0Hp7t0a9eu+y78ufybjJn9Ezk3t/CKpN2VdlBF2+RiJbSefjXCJXkyZOhK9fQRrp77//DmoVQ0YiQGFhUm2l19sjIFCUQyH1BS4vQaeSDuPelUh9QgezOR7Nm0sRRTKZoCsUeigUXmja9NMqJeh0DktSnqt9XpGJZbWyjCrvT+ZBUBe005FT448dO4ZP1q9H33590bl5C5ZWSCUiFv/rzDEj37fiCLqcVREa2t91Wubom9EcNd6Pxq1P+sFovML+Fh4+AiEhz7L/pqwCKpcgi4tbhOzsXyEIKlSv3heWw7vhFyUJS1bGSqzBpo1xv35Aaiq0n30I9a6N0tqwezeMu3+D/WYq9ufnocaer3DlkUfwQp8+SEiIgm/1Nkj338SuX6MJR2zs26BIYX7XRm4EvaBDwe0S9KwPhkCx9zvXe6UyBJ1wY6KR59NZO0kPo81tXJwUNZRtzx4Yr13DpEuXMFmrRWPqArJvL5TXLkC/vfSMiWIJer/mQL4JAV9JRM/dPAj65pnA+k9c70Zy5lM6NVlVEHTWD/xiBqj22N2MRiPLFGHEdMwYFjXWhaugen8OyzajrDPbhx9i1/nzSGvZEuOcPcFNW16D5uxhN4JefJs149kfYU+5Dp/HhrNxqJZthFfbogSmOILOPmveAIEf/e665MwJD0N5OqbSz4T72Cmg8fWHO7Dj023s43vuuQevUiYJEfR69RA9YQLLtKoRHo6Q3r2haNeySN9z0hyQnfDysSWCXjSrKnP0A1BeuM4wK8ncCT+LoJdE0MdEIbtfawR8UT7nZUnnoza9lgwj3n39dfTMyUGUs1VWTng4fqVuP0lJoAayM0JDEdqpExRPPAr9e+MgfL3P45CMoJdHoZ/WmR49gG+/lX4vE8zKEHRKeaE08UqQ1BIDG05Hla5BAEijiTILLENfg2XkNOC772C6dQvzEhNZz/NTnTqxmnwyaseqn/GKlI1E4yOz2aRro5p7d6OxygSdykmcYqTF3qPiCDrxG8p8kgk6rVGjR1eonzor/4lOK9GZzTLHznwPYe+XBQ7c55+H0V4d9l//wskHHoBq7VokdeyIbs7MS6W/Fvppg1kveB5BL/ERv/v/IBP03z47gNaNWhYdsJOgE/HUHtgG9e7PkD9hARwWEXG1ayNhxw5cVqkQabPheLen0PTXnfjEV4eBk4En3/27XAS98El9fk5A7iMRSHizJSLelaLCFH1yj6ALk6dD/GAR23CQEUHP3PsWi1pXdhNW+DooNbPJ2x9AWbMVzP374+TWrYygq5RKNGjQAJo2baAd0rOgRyEtFm3bwnB/NU+C3uEeqLs+zwi6bHKfS6pTV3oHuCLomgQjvP9OcyPoh5FwbAaCP5AIKUtxnzgFqpqNGEEnZ4ahS5hHBJ0wqYj6vceLlqLoVItuKrQBoy/99BNw4YLHJuzE0qVQX7rEXkZrW7WC0L8/vKpbILz1ZpkEvYb2ZYjvFNSZ2x9/GMpDv4CyKmpNOwHrlxugfnGYRNCX7kfukw0lgj75WYgnjnoQ9MgDwcgWziJs3D5otUUVxsv7JLN2KFQblVtMbR29cNreA6+Rz0LR+wWIX+2VsDLbceDAAXz55ZcFLfcoTauGD2Ky+rFTe3k1RfXExhDfnMnurXx/bt5cicxM6gVQfoJOqbuJietgT72OmrNOsd9ah72M4EEriwwzKelT6PUNEBBQtFaxvJgU9z1K/aVIEin/k2OD0hUFnYq1HVMG66QIOEUXyWM9Zgwjpe61hIUJOhFrwkUm6FRbXzha7u3dAvXqSWlo/wuCTuNM/usq3p31NmuzSCZnSzgcDoymF7vTVo0bB7UxH8rHH5ZetG49Wksi6KS0bjLFutL5c3a/D6xYxhw6FDFu0aIgWi0TdDqdShXsIujuZITOUxBB34Wcl1siYFfFokTGC+nF15laLMC6dRAmjoc+8QQUYdXgaN6GlXuQbdu2DY2OHEHYc8+hJqV5dusG/TP3IcP8PZKTpdIQegZKIugKhTeaN//chSete1QWQ1kk7gQ9ImICgoIeh92ej/Pne7ueKxljIuiUZaA8+g+qrb9S6XdDiUJQFIGhrBHaZCcmsbWRoj/Cpg3IX7oduBGLBTk5eDo2Fg0XLoTO318i6M2aIN26g42vdu23GEFn/z3ub5j6PYaUjjlwby8lE3S/6RtBAjBK3+Jr9kuKilYVQadrJAcdqz/OlWpP8/PyoDt4AArn+F03bc+XOL3/AMhtSLS9FW2E9+2FNuao5MgoxaqSoPscinVlq1UFQWcYOESQc1YWlCVn1N/HjkGlUGB548ZQT5ggRebCw4DnX3CNNPu997A/Lg7+zz6DJ3s8zT43fzYc6ugTZRL0zNcegfKklEXFCPqSj+F133NFUGRzpU1TBH542OP5KULQxz8E5ZlLlX4mCp+Ysm7+2f0bdn2xC3FxcZju7Y1Dogh906a458QJ9vVWRKK6doXumQck0uZmDnO+ywkvf0zPcePGG4toVGSO6QRldOnPs8NiQu7jtV14EUHPfa4VMjK+9Yig+726EjmD2iLg8/Olzsmy/khzgjQndi5ei3q//uoi6FSMQ24RatR7uHZtTPD3h9CgPnTDn4Fy1JAipJjun/azQ9DWLtChKfbctN+kCDO9Z8lKIuikbk712RSZdWomFTme3KmpEgTdvZe5x3Fpv0SOKkGAJsIHal8ReeMXAYMG4fT778OSlob1AF739kY9ZzYJ/Z71UH+pJylKSs5OsvR04JVXPLGi4+/fT0XbUgvgFi1KT1MvjqCTg5XWpV9/LSDPVJ4Q5FlmV9a9d+9c4vHdW7eYc1p1/BdoD24D9u2D8OyzEHu+iLxcf+DECYw6c4atj4HDhyPyPkn00YvKA3s9zwl6WcDf7X+XCfrRn/5AMy+p3YOHyQS9TWvg9z8kckabErMZ+zIzUT0mBooWLZB37hxOdH8aPXK24/uOI9BCswqdVlyGXqGALVgLVbq53FD6/ByP3EciXRET9kNBQPLHL6D6zyqW4v5fEHQSxGo4ZQp8a7dDu2VrkR17A/7HT7i88Zo2daCZPLxgXLSYtGsHQ/sQT4LeqR3M99aFF/UCdRq10bBcPwXblBGuF0hmz0hoEj0JumbzfsQfm4TQFReRvO4FhI34Epg0Bcn4DmHLL0D45gDEp7tVGUGny3PVlxe+Y8UQ9G2jRoFkl35p0QLjFAooRw2C3jsfoF6PZaS4hyt7AgsKUpIcj3aC4qffEb+wLSJfPwnL7k+geWk4I+iaeatgf6m7RNAnPQ3xn2MeBL3WlH9gDdNAv/o7eHs3KfdcK+6LUl/0YtK2nARd+eQjjHRZ1myF5WYerl69ikWLpIg4zRlqHUNGCs3UNoctuF7N4Dj5J0JXxdw2QZfJh/pmPmq8f44d3za8D4IGekaliOxlZByCt3dzjzrt2wKnIj+mOXDqFJsHEkEvqCWkaOeFC84IqUNE7QnHPAg6nUZ2YhRE0D0JujLTAu9/MlB74jF2VTIhzWsfguDXvoSp78NVtvmUh02OibhfYrD1k8+YKB7ZE088gdDQ6ti8uaCmfG337lKt7aq3oOz/okeP1pIIem7uWRZdlsctE3RyXFCkvHnzL1zol0TQHT17wNS3MyOslJlRQNB3wvBya/jvqliUqESRPJMJIOEvSmn+cDF0dbxgHfM6LN/9jpy6dVm/b9p0NOndG5oLF6Cwm+A1pR9SI2OR9/kCeJ3LQvW1l9g90+nqeaS402fFEvQpzRC+9DxS1veFySRFUWvVegP+/h1hsxlw4UK/InMmbNkFZDwfCVWW5bYIOp2r2FTGzz+XBFRpY5ucLL0fKdNm7Cg4vt0P+9VrGHv+PKZ5eaE+pV/q9biZsgy+7RohI2MvG0Nhgk6lTjldwz3Uq2WCjow0CNk5CPjsdLFP4n9B0OUTU1Q4Mz6VtU97ThTRloSpKCrsTB9NXbsWiSdPsvTVeRQ1pDac+/bC++z3rEyqNCuOoKf3rgOFSUTg3tgiPy0tgu7jbOVKP6oqgi5fgFzSIZe2qGisFCWmulgS1S1E0GMmTIDZbEa95s3hQ8SCMlU+fRmqC5crTtAXRsGrgyRE6W7uBN1yMxqCWseyiYoQ9HKQ3Ios9/RdKgNKO3OTvQ973bqFHyibxUlOqdyFsooUjz8Kfb9HPDKs6LeyqG5hHY3GjTcwEWB3yxz7IJTnLpe6vsvHI6clpc6XSNBHLkPO0A4I2Ca9S2/XHDeTYZz6Pr5v2hoNDx7EGaMRAU/3wP3R5+E1ZgyETzdA16walKNeAShiWogUM4JenhZ6tN+kGm0iqWTFEXQ5Mi4P6umngVGjig6RMqLkdawSABTryKX9EjmtndkrSqUd9hVrYOndG7/OmgXKdSKC/jatDXPnsu+5hHhpbMOHS2rnZMURdJm8E/FeuVKquXcKcBY7hOIIOpFxEjO8TYJO5yv2/UCOebpHtA+if8aOhbByOXBve4iCAo6//8bo6Gj2rmz+1ltQRkSwmn0i6Mw5wSPolZiNd9FP3Av772nZGnknb3mOrhSCviU2Fo2TkxHUuTPiDh9G2ksv4aG0DyEGtIHDehTVf0sFJT9WlKB7/xSLvEdrFyHosSvvQ+QfdSWCPuV1iEsXukXQxyFz77wqjaDTS6bp668zPLrv/wVUUyh+/R0UDjPU5nQoH3vQM6WvRIJ+LzKaZrENomyk0mmJPgz7vJkugp71TE2oU0weEXT1p/tw8+R0RtDltHdx0kSk4CAj6PEfdUbkmCMe2Qa3E0GXr49SdihCQp7wLVu2sJrbx5VKtFSpoHRuLJYtW4bQixfRRqVCvaVLofvkE2inDYXakgnQglsMQZcj/knTmyMM3SEskvpEk1GtrPLIX4hfcA8i3/jHg6AnDvJnpJ0R9Ik9IJ46Xoign4Q1TFslBJ2upVjxGydBxwMdofrgHdgnz4IIBd5//32QSnNjEkFyeqhJ2ZvEQc6de5bVzeYPegRG6/V/j6CP7I+g/p591onoBAc/Ax+fe+DnV/l2PJVe7goRdEpVFAQ1HA4TSz2+eFFKaROsDib+JUXQ38aNG1KmSVkE3ffXFATtiHVt0jwI+oQdMA3oWuUEna6LskvyTt1ipQyxpM7qZg899BDr5drmxg1orv4DzRcfSy/azz+HyFrAiDh3Ttp0FM5yMRhOeaT3uwj6ivugUFFEWYq4krkTdLU6BI0bfcI2oWTJ615k6d52e7YnQe/dGv7lrEF3H5OHAJJrgTBKIolOQoqICElROCoKhxo1xK5duzFRpUIzSv8+dQoaYxI0b4xlBN02fya8T2bA93Aizp3r6SLo5FS4fHksrNa0Ig4J2rQmT2rK1ryU9X1gMl1jVxIZ+TrLDpE7WRSeM+SgyOhdG3Zf9W0TdEplNF3I8Ki3TF6xAiFDh0L1/fcARUtkPEhE8qcfkfD7H3g7PR3ziJzMmAF4eyMuby4CmrRDerrUu7hkgl7g0JIJunD1KoSsHPh/46ylLPRwFibopst/Q1v/XmQvH1YlKe7up3NY7DCcTMbKD1eg0YULaObnB8X48aj19dcwDh2K36dORajdDsXo0Wj+228MG83Xm6E57YxWlbKwFEvQX64DhdGGwK+LttYqjaB7f3vBpd7NCHoJ4mqVWefImWuJM7Boem5uLt6cOhUjBAHmwYPR9uRJICxMIj5U852ZifgZM6BUKiWV5rFjoQrQwri8hytdW6pBLz7FvXAEXTl/Bbw79S5y2e4EPbtHHYihwVBcvVkMQS/Q9qnM2Ev6DUWRTfE5yF+8GH96e+O7s2cxBGCaHCqVCrqXOkP1bNHaeXvOLeQ909JjzZYi6J9Ao6nucbrMckT/Sc0+v+c98P0pgaXOl0TQfYcthmHkQwjY6szWvF0wSB185EjYt+6Ccdw7pGQJPPAAFBvWQjl1HNRzp0DR6X5gyBBJbLY4gl6eTgP0XiGVc9J/ICuOoMstkuUx0bUsXVp0hGYzQF1HKhFBp4PZc8wwXpAEz1xG+yVyBsidVJxO3fVmM+rGxLgI+pI6deA7dSoELy0rF2W9w2lsw4ZJ7xQyUsUnvNyvTybo5BRctQqgTiHOQEmxt7A4gk7vMOrL7k7QP/0UCA6u8CwgEV1Z9M31Y2qBR2UeJJDoJOhMo4JayQkCco8cwZRr1zC3WjWE0zjCwgq6vnCCXkKj1wrfmjv3B4WV95hqLbXPsjtAaZtJixcjyNcXug4dIPzxB/OQx73/PvIzM3HYbkf7/Hz4Pvggbh45AsewXnjgxgr41O6C7PjvGNEkswVpocoofwTd+6dryHu0XrEEvdaf9SBs/bxIBL1atZeR9/3qKiXotAFvMVOql3yGalRogaFUGtkovcgtrZUtKvfeC8N9wZ4R9M4dkNEwzYOgkwiINeYPT4LeIwLqVLMHQVet34GEM3M8CfqEsUhR/MQ2qzJpT5zVEjXek14wVUHQ5Sg6RYeXL1sGi9XK0vtJtoTS2elFSz2fqYHMU5GRCHjzTShWfCDVVCSKUM8AACAASURBVKUkSyIlMkGf0QI+f0sicXL5AqWrhtofg+KDAjztne6F8vfjuPleG5a67R5BTxzgx0g7I+jju0M8+48r4kBjrjXlBKxhuioj6IXVekmN2v7hh9B06MC0F9giO3IkUjIyWJoz2UoSQdJo2H9Tersm0tcV1c3v8yAMIamlEvQWzffi0nddoW/1VBEVd3eRuOIi6PYRAxE4oMDZQddA3wsKegp+fu3h61vQxvA/W60KEXRKVUxKWoecnL/YpismhrZtgGCyo9bUE9Jcrj0HsbHz2OeFyZaXV3PUry+JS9HYSiPoQWM2w/yKlHHxb5gt3ch0GMiB9emnnyIxMZG1VnvxRSljQvHVLnhFH2IpbWxd2LIFiXk7kZ8f7aqfLi9Bj1/UFvDxQ5MmG2A2J8HLq0FRgt5gLQxdI9m5iaDb7QbYbFlVQtDpWTCeS/cgppbMTGjIeUubCnoWiKDTONeswWpBwKnTpxHVtClUlLJ36hS8si9C8dYbSK0V5yLoPj/HITr6JRdBp3aZly5JQniCoEGLFpJIGBmRjpRxjdnz40nQpzF9Bas1g7VeK5Gg+2lQbV3pEbfyzBN3lXrSHMj/7DP8pdNhsE5HUhPIGjAATX/8EaoRI3B9wwYYzp1j6+Wi2rXhT45NHx/cEF5DYERnl/ZESQTdvfa2sgSdEdJ1e2H6Zm2VE3TCizRLci7ewt+zZsE/N5els49xviNoa30POSZoffz4Y1YO4bVnFYTTUlZNaVaVBN1r72moAsJc80jz0XbomstqMuW562V/h4kB3srH3m3bUPfIERYZpJTmTK0WuY8/zhy4lHFDkTJqJ8XEsMaOZVodhje6VI6gv7MU3g8PKHJxHgT9yVpwhAVDeT2xKEGnOu6LN+D3c1LZA6zgN2jNsA4aC+vTfaW1YdMmCA4rtHlxUI0ZKqm7FzKZUMtrNjk/yMHdqNE6aLXS/ZMtc0JnKE9fLHV9pxavxl4dQCUOlOpeIkEfuhCG0V0QsFlSmb9tS0iQ6qdlITJSDe/fHxgxQsqqoNRt6vBB0XP6rBiCXq4e9zKBOyiVyHkQdMrWIdE0KkVyvpPYd0oi6HKPcnpfOcVMK4qDrLNAv/v7r79Qbdcu6CdMQFitWtKhTCbEvvUWVmVng7TZa/r5YZnBgKhmzaB89VXoW4dD6Sftn9i7hJwXcs05OT+JsBdH0GWnKInxLfHcA3mMoTiCvm6dlP4v16DTeSkzjLKBKmGkzyFrU9D++Cztgzt3RguFANWZszjbuTPLqtB36sRwTvz6a8xLS8OSunXhSyn8YWHQyf3jOUG/8wg6EQXqs7t+/XrEx8cjMjISw4cPZymF5JmtqBUnjS+nbZ09ewaZq6KgBkAJdR0BbPHzQ4+cHJD25i8AuqnV0D3wABKOHIZ5/EvofCEKPk2fRc7prfA6Iynf2gI1UGWW0i+z0EV7/XgF+V0b/M8JOqkPt3GSr2IJOglY0EIsGz1Q990Hw71BngS9ywPIaJDqQdCpxsh29ZgHQc/uXgOqdIsHQVes2YSk8ws8CLp93Eikqn71JOgzWrjSnauCoNOQXG11vvgClu7dEf3xx9BcuYIVzrZatWvXxsjGjRHiTO3ULZwK1dJ3WWovFi50EXSKlnsfT2cEXc6OSJraDNUtD0O5Yo0LPnvHtlD+cRI332mDmrNPedSgJ/XzZaSdEfRx3SBGn4bfz5LqLVlVE3Q6ppy2RRuFVatWofO5c0gKC0NGw4bodv06xGHDsHrDBvYcPvvsM+jhrClk7djaVGeeYDmqa+zTGTkhyaUS9Ib6t2AZ9jSyNk91EXR5k6K5nsvSe91bELqnuNtHDELggIKe1PLvAgOfYH3Sy9tfvKLrR6nfpzTP06ddKe5EyhMSPmLq840br0dMjFQeosizsewIiaC/idhYSQjudgh64MgNsAx/9l8j6Gy/cTWLqTMXNhKG0325FsroEwUEfdMmXM9exoT9ZCtM0HNzT+P69TeLpLhTRgn8AxAc3AOpqV+wvxeOoDeqsxK53aS+ucnrXoLdnuNJ0Od8AUOfNpWKoNMxadNBIkhUh0+27eOP0eLECeQMHIj7jx2Dum5dfC8IiPjuO0ZIvby8sIzaK7VpA8WJv+CVE8OyatwJOjliSShQTnF3J+iAAi1bFqRBE+m49WojVF9zyYOg16w5GYGBj8BiucXEQv9tgi7fOxJGyo3NwI2lS/FVUhK600bYSUzHATjapAmqX7wIKhojPJizYuhQKMODcUUcgsDAbqxNIlu7as1CXJxU6kMRfznF3T2193YIuqhRQrBInTlkh25JCuCVef5zjybBvns3si9cwGa9Ho84NUmIoD/auDG05MRZtw6a+dOg+Xgp8M8//wlBl1ObqZxMFSyRBMKxKscu48WE4y5nwh6XitzVq7E0MxPPZWaC3INfuoHKUlmJkKhUUM2ewvqAuwueVSiCPmc+vB8dVuSWlZugj7ofyivxZSqhV2hOxMRIitqrV0ska/JkiI2bAq+OhiA6dW0mTpSiioXMmhoL40vtXWt2AUEv2kqxPAr0JLJp6tcFPvsvM/0aR4/HkRlxC7mttB416L6vvAfDuMdLLBup0Pjpy7JYokzQqfa7d29pr0j1zhRVJoI+cKD038UR9PX7oGt4f+mnJnzJ0XHokPQ99wi6TNDl3uPykUoi6NTyjLKdKOIrR7wrOHD3oMaenTtR/4cfsEWrRa1GjfDAAx3w+48/ocvVq9gMYFiNGmgcHg7TwIHQb9gA7+VTIQS5KfXT2MiBQVF9ssTEoljJEXSqcye1/JLGJo+jOIJOOhFUsutO0FlpSuX6o5MD1xidzjQqqK3gjago/EHPvCCAZJtXiiJz0tlbt2aZdpd37MAGvR6La9eG0KsXhPBweLULlco/OEG/8wj6mDFjsHr1agwZMoT1W6Yeghs3bgR9HkWRjApacQSdFkZqp/LXod+Qv24dI+jkW6Ruw3SGvgB0ToLeXauFqn17xOzeCN3CN/DwqRXwbTcAhp9WQnfZwK7GHqCBMqsiBP0SU7OVRYHYQQQBlOJecgS9F/K+X1OlEfQ5c+bgXqqbKymCTg8QeUNlo//fvj0M7QI9CDrVVqfXS/Ek6Bu/hTX2LBxzpdY/9FLNfqIGq5V0F4kTVq1BcsxyhK4sSHG3j34FqZq/EPZhwWdEgsMXSTWxVUXQ6VjW1HxYF38Mx5NPs573hUXiqA86zkVD9eYU6KYMApYtA+LjqRi7gKBPbcZSWomgZ2+ZDv8Bi5A8uSmqmR+AMkoSjGLzpH0rKP8+g4S5rRAx94wnQe/tg5pvnWbt9XLHPQFHzDn4/5jM2rCx0oepJ2ALrboIOl2P+2K7Z88e1N+/H//Q5hsAuWWoOYrccMgjeh7pyyLoZDJBN/V9BNnBicUQ9BXIzJResA11bzJSmbV5mqvNGrUji45+HtprBoR9ILXEkZ0Smvg8hC+U7nnhCLr8O/pb3boL4ONDSgH/sRUi6NSzmlqDGQzH0ajRWly6JNXCKXIsiJx5is3bWrVmIC5OipIXJejNUL/+QheupUXQdaH3QPn1oX+VoMuiQNakPA9gSXtAOX8ucO5cAUHfsAHXc1eUStBLSnEnh5UYHFgqQW8YuQx5TzVm11EsQX/rc+T0b4eAHZUXQpI3YOQk3vjhh2gfE+MSQqKkY4rjUNSwMEHX/Pk9NKZbJG3vkeKu/yEGFy8OdCPoCbh0qcDhWbfufPj4SMKltD6mDmuAap9cQcr63jCZrrPPSRw0KOgxlllw6dLI/4yg07mZsvv6bcht3Bji3r1IT0/HAoOBbcBoE/oQwAi6MG4cWtIGsH9/6DvVZ7oUAQFdkZX1IxsDpenHx0vz2p2gu0cO3Qk6sg0I+Foaf2ErTFyYqKibyQS9JAXwyqwQ9BzkzVwtbaJHjEDWokXY5OODoUFB8KWN/7BhENathde6uRDmv+fSpSjtXCXWoBvtxXZpKS7F3ffHeJZVQuVk6lDJeVWa+nllxu7+G5bufvwKrCs3wdq/PxRbtiDf1xcbMjNhMpsxYMAAVPviC5ZlpbCbod+yiIlpVpagK2a9DZ8nitYTu6u4Z7tH0Fs0RGDUb65LLm8v8QrhQtFcqgeWySmVfFFk073umTJJiomgW5Mvw9j7QfaOJ9V9UbSzEphGjdYUEX4tTw9387XjMA/pAe9vopH3dHM4QvyhSMt27Y8IJ+qD7jNwHgyTnkLgpgLnaYXGXPjLJIxKZNCdoPfqJQmmESEkok4EnQgxfVYcQf/4S+gadyr9Mmi/2bUr8KO0jhSb4p6dDQxwy7IoicTK33MTM60MBi7BOKsVWQsX4t2kJBhIgd3JGcidREot8x96CCrKSB02DPqFk6HcsBoIDCw4JY2NHBjOtq1sT1kYK5mgUxYrOYQaNpT2nSVZcQSdiD3piLgTdPqMOhJV0ijV3Xwpk5H0jK1bcZI6WZGzNjMTO0ND8UxcHI47j30vgAuPPorelML//PNQNq0Las3LjBP0O4ugnz17Fq1bt8b48eNZqx/ZqOcuEYTTp0+jJalkVsBKai5Pk2vPqm3QbtiB5g0b4svLl9GBlLpVKvSy2dC0Th3sSk3FI3Y7rG2b4+Tqeai5dQs6nVgG/4fHwLDjbWgSpL7Bdn8NlNnlJ+j6Hy7A+FhTJE9phrClzg1lGQQ9JOR55O9fX6UEfdasWejgbNtQbASdBCxIyEI2eqA6dYKhlY8nQe/6INLrJnsQdM26r2BLuOhB0HMeC4cyx+pB0LH8Q6Rc+chF7GgDZxs1AOna4x5R9SSngBJdSlUSdDa02bNhHzQS5i9/hiP6klRnSXU7lLb15x9QnfwD2q0fQuj5nJTyTx5Y50ua1Y5ObgqvU5mMoMsbRKonDTG2g2ptgbAWKc9SX1Y5Xd+yax00vUYykbjkl31YLTdLV5vwFMQrF6Dd8zssTz8gETtXivvXTBStqowttjGZoM0X1TmlRERg140b6BYbi81qNethOWHiRFA2ATNqqUYqpBopm8VF0Pt1RXbgTYRGFRaJcyPo2pmwjOjpEUF3OCyIjn4R2ss5zCHjQdCdUXX2jI3oh8ABy1zDttuNOH9e6g9dr94ieHuX0VO1qgBzP44zxV3ct4+lKjZsuBpJSetZBJ36XF++TMmwAIm9UcZE7Ir7EFl7GuLjpTS12yHocnnNv5Xi7j5MUrWmCLOgUbAWMcyoNIYIOrVXo/Y169bhujGqUgQ9YU4rOEKDSyfoNRay+k2y4gi636ytMAy+HwGfSw6dyppM0h0ZGciOisLemjXR/vhx3LDZEB0WhieTk7EKlPk+Fi1/+RWKe1pB//NWCKLDGUGPh23+G8xhpzsUzcoc5Ai60XgDV66Md10a6RTIyvW0jqQNqoeQz64hZV0vmMxS7X9ExDgEBXWDyRTP5lNZNei+h5MgCFLLrds1RsjeXAZryw4FSspjxiB7wQJc7dABrXJyoKJsImcKpnrsYGjvb8jWhICALsjKklS2IyOnuua8J0EvICa3E0F3H6eLoJegAF5ZTMQZM2CKN8M+YrykTUDvAUqXTUiAMHQItCvegmrreqkNklM4srRzZa8eC+FzSVRVfoaZSFwFCDqJw1FWCbUq1dSQnFelqZ9Xduwev7t2DdZp82AZNxvips+A0FBXDTr7XlQUVJZsaPNuQHASs4oSdDkzQJgxB77dpTXU3cpN0IffC0VcMvwPFq3przQWxRF0yqQhciVbCQSdBO1M/R9l73iFRgfZyUzvDZ2upsclZU55DMrjZ0t1wJqif4JlTF/W0pZq0Usk6APmIHfqcwjYICnN37ZRv3dq/eVO0EmHgAgikT/Cggg6RdVlIu88qdwaTrN2N3RNyui8QvvNRx+VuuuQuUfQ33mHZS8hI0OKRMtWEkGXv7dzJ6Cj8FvljbQpjMduQly7Dqa+ffH3uXOgciBTRgaGCQJCp0yB9vBhwGCAaupo6KYOkfaTzh7o7Mw0NnIsEEZk1AmE5k1xKe7k/KHMhHr1ADdeVGQElMkja8bI94b2qTRmd4JOn9UpRjC7ApCQuKr5ahYce7+T7sOVK64adNOSJdh8+TJIUJIKD4Nmz0ZN2if07Alt42pQx50HSGSWE/Q7i6ATYZw/fz6uXbuGunWp87g8d6+jXr16mDlzJt6j1JYKWEkEnQ5BImDVFqxC50dewM6YGEbQv6pRAw8nJqJ5vXrYlpCAzhnXkf1wa1zbsAG1P/8cHf5egoDuM5EbNdFVd273UzPiWV6jjZvp8eZIntiEkRJmToLuEokr1GYtKKgHTAc/q1KCPmPGDHSiVO2SIugkYEEPMj30VC/j9GgaGqk8CfoTnZEemcCiP7KRUI09+apHinvOI2FQ5tk8CLq4dBFuXV2P0I8uucitdXhvZGhPucgebeqIBFOElazKCTrV0dBiuW8fHD8chuOz7XCMGAth9iwoDh+C8tDXBS8jugB5wXTWoNN99Dqb5UHQUyY0QVBeK6g/KVCmtjevD2X0VVfmhPnzj6DtO1Yi6C96I+LtM2CbrolPQ7wWg5tvt0bkjH+kzIqpJBKngy5qD2wThyFgg+yjLO+sK/l7tiwTSCgLq6JYn3tS6mfKn1Qz5FRsl3+tCtKxtEXZZIJu7vcEsv1voPpq6T5GzouBavR0ZDU2utqsNRAnwDp+gAdBl4m27lIOc8hQDT9F1Mm0VwyszIGssIq7rGpNf6tffwm8vKQN6n9qLoL+FYuENGwYhaSkDYygN2iw0kXGVGkmljERt+xe1KgzCQkJki5BpQl62yBGAMn+C4JeLKYyQf/yS6mObs0aXLesKZWgR0f3YgJ6hVXcyWFljwgplaA3CH2PbULJChN0S6cmCJz9NQxDOyJg++0rFdPmw/TnVYibt0pEjKIXVGdKm8XNm2EYMAC+1Epo5YfQPdQEym+cteRz5iC1NhF0SSROe/AUi3rLBD0//zKuXp3sgrMwQU/vWwfB228gee3zMFsT2Pdq1BiN4OCnYDRex5UrE8ok6NQhRKFwOlGq4mGYOxf2Dp1h3OaMYlF0jKJkffsCf/4ptRkkMbBl86FdMBlC3bqMoFPZCfVpJ6MsgIQEyeHuTtDpedHpClKz7V06oqIicSVG0EtQAK80JK+/DjHmEsxvLoNtxXops+zbb6GIuwrN25OhmjQK2L5dKn0qD0H/aAyEHdK8qSxB9/4uhmWV6Lb8CE2klEHECPqij+B1v6QVUeVGKd5Tp0L8eD3sE6bBWrc1HH0HQqFWQNCroJo2BkqrgekVyGTDnaBf+PlxhLWZhcDALkUuTRaJk0XPhOkz4dtjYpHveaS4d6/FnHusBr1QBD1raDsICSnwP/AvE3TaqxIRla2EFHfzjVMwD+7GUtIVej/Izmly5up0nhHNzGmPs2y70tb3/OP7WJccKnHIf+G+kgl6/9kwTH8BgZ9U0Z7h0iVgyhRPgk5O2tdek/Q6yGH30ENS+jZh4UY65V7w5RIypP1m587AkSMSsu4EnUR6aZ8i127L2JdE0FNTpT0sRZML7Wkq84zY4tJgenO55BzwkbIJYXQKi9Jecv9+CDlZ0H8wDYr+faT9FDmzZKOxUYYBraNkly9LLeKKI+i01lBaemUIOhF6yhpwJ+iUBUpOpds0KgezLlkDa7MOEC9f9RCJM7Vti/jLl1EjORne06ezeSE89yy8jFcg7NheMHe4ivtt3oX/8OfdunVjUfJkqvktZKGhobjnnnuwX265UM7rKo2gHzp0CCEjR6J+nXpYkWjHo3o/fObri76GHNSv7ofLDzZHs2++gm3QIFi3b4f34EFQHv0IfsOXIX+G88Eq53W4f02cOhnCkg+Q2yEEPn9JQnNkqUMbIOi4gvXutDzaFpqfTrK0RzhEaFXhUJ68AO8T6cxjqgqsUYkze/5k6tSp6OxUvHxm3jwgIKCg3oe+Skqs5C2lVB3ymC5fDjG0OrIbmKD4nhqMSEbtTUy6THZtsjle7AkxLQnKI0dBqWrUI93YPABKgxWauDykDayHkM3XYO7WDpb8ePj+essVQbK0rAFjmAj/Q0lIG1APIVuuIa9dsOv49FmNTguga1b0JV8pUMjpQ30haZGkf0jZnjZalEFAfdHphUSLp5xe1KUL7D9+i9yxT0FYtBi594ewNnu6KwakDa6HkE3XkN2tBjQ5Guj/LFAjFjUqCBYbS/X3P5gIw7CH4fsJKR0A2Y+Hs/FiwmsQN62HkG1AVvcIBHyfgPQ+dRD8+Q2ISgG2kf2gXr0VmDgZgt4XPk+MhKAkX+XtmT02CeaZH8DhHyyRdFL97HA/qw0G1eQ7HBBUSuir26Hw1gJaLUj0Ju76ewjZch3mptVhDhXgdzjFdR/trRoh995AWG2p7NoD8htCvWM/0oc2R0hYL1jNKVDaFEjP+h7qZBP8DySyZwAUABQB/cVs+PyeygZmaxIB9dMDpeigKMChsiM1ZSf7W3iPNfCqVkZP1fLAQ+M8dkya7yQkQ/+fVGLJqJUKfeYUyWN/W7IEot2O3FFdcSt9J/wDuyA37wxsjkwEBD2CzByKIArMeUdzOL1/XegDWiPfIIn1hAQ9D0EEUrP2sPGSVQ/tB1EQcevW5/A5lg59dBYUM+dCtBhxK20Xc9CJKgGCTfqBMOMtdv+VobWhb03SNFVgJJZJtX00VhqnXs/aToI0QKgWWa0uUJN19mi1PP8YkhTfwi7mAnRtAlAtvJ90MVRvZrUhNXkHu7fVIgZAgADrgZ2s7zHVJJOTU6MJg9l+C6Hhg5Cd+D3MjhSGOY20mu4JYA01tALSXqnPPhMcIos4swymwaMhbtsM/90Va7NWElqOo8dhWbYRtu4vSSmWtKkjFd3jx9mmUemjhHZbFBShwQCpGlPJSLfHcNP7ALwPnIc6yQhx+hSkpUl15iEBT8NqSUNO7p9M1V9UCAyXasG9AJUC4sL5MDXyAzmqaG2k54XM27slvL1bICfnD9ZDPiT4WcBhR3rqN+whoWeP1ka7r4o9e+JrE6Ft/CB0TR+ugokA4I032DMgXrgIi1cErE++CPx8mLxLUi1qdjY0zz0C9afLIZBDz88P1+LegkofAqsjk9WG670aId94mZG2kE+vwlzHBzldQhEQ1BUaRTDb2IpRyxnBEPKMEIwWKKa8AVEtzT9Kk2bPn0OEuHwRRLMRwtQ34HDkQ/jAs/Wi/L4gwSz/MSTpVgV27RpAETtK0+zfH47tOyEOG8l6wSss+VKqKgkxUbYZbcSp9/eEQbDkXodDcEAFHRxqJcS8bCh8g1lqs+3Hr1iElD3Dr8+mxuNwLJ0PwS5CmP4mW+dEyspwmu3ALiYappgxF5YjX0L15xlg7HggaiXE3i9BUbsJoFBCfH8eHPUioHyuL6DVw+vhAVB6u9W+VhYOShEmx8PNmxLJIRJCPZZJDZqID6X5UjyI6rOd5hg6GHmaeDhWLIVgskJ8ZTCETzchb0wP+OiaAxYToNNDVKkgWK0gZz3DY/wEiCtXwP7gfVB17AZBqYRopwCIwjVGWheEaTMhLnoPgqBkmLLfTn8TsFtp1YVtzSKm/6EpTzp1eXGhfQEp9k+bBixeLPXpJoJGvbhlo5psEo90ipHl51+FPTcFjuQECDs+Z+94Qe8DUbAhNX0X/FXtofNvANFqkjAUBNjXrYQiJ5+1nGXPgN4bsFOWppI9/5TFZ796Dord+1y4yqdnWha+PYHFi+CoWR2Kp3rC8eUOBOy+VN5Rlv49Ins09qlTJdEyX1/g4YeZw4p6gOOzz6QoNYm3kdDm6NGwKvJhst+EaDEDyz+A45knoajbFIJOD0GlgcYRAI13BEDt0GguUUcQUiyvWVOac2S0B6V3D52bzte+vVRuuKOg+wd7Z8nOEsJS1q2iNZrmKzkXydl6u5adDcegoTD2GAZRowNsVulctDbefz9w9C/oDNehGtZPin7T2kD7a2c6PHtOSJCX5gn9jiLoFGUmMktlM1ptwbNEjogTzuwHwoDexTTn6Fj0Ppb3KUTiZZMdqbQ2ffWVdEzqskFt2qgcge5TVdiKFRCDgmGPvg7H1VhYnx0A8eAhILImkG+U2sc5syA0LSOhSb0q7anluUNp/4QP7TH+j1tpXLIyly6ILG/1zjFKX6f6pRPyZHS79LZt28JqtYLS4EuypKQk0D/udurUKQwbNoy10mpKG6zCRptRhwM9Jk1CI7UXWvTtj7NbNmBU75fRlB4qWozuvReIjoZ4+jRywwzweW4KcvYtgXDlCqzKPAiBIdAYVLAKedAmmmBTmyGE1wAEFYR8K2zeDsBsgcKhgCqkNuxegHgzFvYQP6jSDECA1PLAprZD5dCwxVeEDUJyGsSaNWAX86HSBMKUfw3aHA28+r8BVYhTOfI2bu+SJUuQu307qKt2HxKLo8WRHigyPz9pkaXPyGgRzs1lG4084wU4Eq9DYXMAAUGAfyBseakQ0jOhENXsdwJ9X6WGmJIEIawGoFLCnH8TKrseCoMJ9gA9VLk2iMFBcBhzpM9CA6Eyi4BGB5tghDIuBbbaIRAysyAodVBkG9miZK8RAG2Lx+B1nySgdttGCwZFgoiUUCoUtY6hzRgt5LQAEia0kJAXlhbT6tVhjj8DszYbSEpm0T+B2rOl5cHmq4Q6wwZLNSVU2kAINsCRmwlkZkARUZdt9B2mHAhJt4iNwZ4eD5VXCGx6JRT0WWQdKEQFYLHCZs+CIisXjmqBUOY7YEc+VAG1gOSbQLUwhoVX79eh1PveNgRISYF48AdYVYGwWVSAMV+aA/QSUCggqJXQCDlQequkOWGxwAYTcu0xUN4yAIH+sOuUEOg4Pnp2r4SAIIiCAAsyoFR4QSX4wBZ7HsqaDdmmymE3s2ifzZYJCAqoUnNhCwtm5E0BNezmLAiZ2dBqwmEL8ZZezmR0flGEzZELhU2Ez0NDoWxcBTXotFxSRJjIgEzEiaDTeelv9GJ0bqDYPDCbIaalYcL2bAAAIABJREFUIdc7GTbkQaXwAUUIKEqsFHSw2yiSpITVnAa1QQFHdT+o9KGwObKggBYKUQXYbbCprBBhh1rlB0oBpM25PT+LbdoVaQYI4RGARgWrOQNC/E0gNBwqE5FlExASxvatQo3a8OkqqcbfthEJpdRlwoGwpn9ow0T/JixoTtCmgP4/zZHEROT75cKGXDjyc+AQLGzTpVLQvBQAC80hAXaVFfb8NGgQDFFJt1wJwWCC6KsDlFJats2SCZXoxTbcdoUZNoUZGtEfCq8AiDeusu+JIUFsvlgcqVAl57G5p/KpCWVkHXg97Ow9f7sg0Hqwfz/EiFqwZ+TBofFiNXeKrAwoI0OgUAtSTTJtusihrNHAEeiLPOtVmHOuQpOnAULDYDYnQq0JkcaqULH+7db8RKj11SAIeiihgWAHxOSbTI3aYckDdFr2Pa2WNpJEPBQwmROgUuqgUgYDJiNsGjNEqxmaFCvsIT6wKfKhNeghBvlC1fpB6FsWFamqFCQkgkhzgZyUqalw3HMv7LdyIYZUh2DMhdKYDkX1ECmSRcrAdjsM+acZuTSb46DyDodK5QuL+RYcsLIaWZuPCI2+FlR2jfSOEUWI8TcgBAYxjBmv0dLzrpSeN3Jm2JyOMmM+RJsVgq8/eybEhHgIKi2g10G0WGD3UUCZ64AQWQ++z02q1JCL/Eh20tLzT+VNOTlAtWoAKUPTOkDPBM0FGj9dr8EAk7cJVnOS9H2TWSJrooPhQvOAkay0dMl5Re9HQYAtJwFKwYeNjeY/rZGSCYx0ikkJTNyJukKIlnwIwdUgxsdCCKkuYUSk/lYyuwYhIBDQeUH/zKtQ+VVOsdkDB3ovUsYEGb0naUNN46f7RxjQekD/pnlAf7NaYXeYkY9YiPnktLNBqFkL5it/QRva3OlwobVVxxwvDJ+8HMn54uMLEJHTkFQvJHzJV2ExQqRzGHLYWAUvX4i5tDfQwkH7Jfof7UfUajhggSAqmCNT1fYR6KvKYfXDDxIppOee9ppUy0vrJDkwaD0k5y7tH+gz5/bbaIpl7wd2/1OTIQSFAFYLG4PNaoBSqQVUGghKjbSmK5SAlzeQZ5AcEgINntZiEwSdL0B4EjZKFcTsTIYXzQ3aZ4kpiXAEekOp8pX2XnSdWh2EmvXg05UUNKrAiEx+952UXUn7JHJe0j3KzZX2SfQZzQH6h9aO8HBYYWDroqjRQrx5HUJoDYYHmzN2O3POavURrp7ibD7RGkxYktO8dWvp2PQ+Jtzpc/mdTPszel/LDnR/f2k+0jXR92kPR/eDfkep+PTb2zW6z+vWQYysBZtRgM2mhaggDAzsXakVU6EUrVJaO70f5LWBrpHGnJkpzSG6Tro+us6UFFLUlNYMerbomaP3Lj1jxImaNZOIOf1efjfTOOi3MtUjIk7XRvOS7hNld9C8lM9H94bOQb3Lnf3bbwsKCmhFR0tjyMpie2Zbnh1Wmzdby9mc8PGBKu8W1DX8IBA+8vpJ36c5QtfiXp9/Wxf07/34woULTGfjt99+QydSqb9Nu+MIev369UGRchKGK2wkGHfr1i1coVqHEmzu3LmYR5FgbhwBjgBHgCPAEeAIcAQ4AhwBjgBHgCPAEagCBCjY25/0qW7T7jiC/m9E0NPS0kCp84cPH4YvRXX/PzXqWXj//ffj6NGjrMf3/4/GMZDuOseBY8DnQcEKyJ8H/jzw54E/D+57Ir4m8DVBng98LvC5QHPBaDTiBgkod+uGEHfBv0qSqTuOoP8bNeiUFk9p8xaLBWo5RbaSgN7JP+M4UKYPnws0hzkOHAM+DwpWc/488OeBPw/8eXDf3/E1ga8J8nzgc4HPhX+D+91xBJ1U2hcsWFClKu7U0/add97B7NmzoZQFI/4NtP+PH5PjQKU6fC7QNOU4cAz4PChYsPnzwJ8H/jzw58F9C8fXBL4myPOBzwU+F/4NenfHEXRScCel9pL6oJPgW6tWVaDW/G+gzY/JEeAIcAQ4AhwBjgBHgCPAEeAIcAQ4AhyBEhC44wg6jePVV1/F2rVrMWTIEKaU9/vvv2Pjxo0YNWoU1lCLBG4cAY4AR4AjwBHgCHAEOAIcAY4AR4AjwBG4wxC4Iwk6CTIsWrQI69evx82bN1GzZk0MHz4c06dP//9W3OwOm3f8cjkCHAGOAEeAI8AR4AhwBDgCHAGOAEegEAJ3JEHnd5EjwBHgCHAEOAIcAY4AR4AjwBHgCHAEOAJ3GwKcoN9td5SPhyPAEeAIcAQ4AhwBjgBHgCPAEeAIcATuSAQ4Qb8jbxu/aI4AR4AjwBHgCHAEOAIcAY4AR4AjwBG42xDgBP1uu6N8PBwBjgBHgCPAEeAIcAQ4AhwBjgBHgCNwRyLACfodedv4RXMEOAIcAY4AR4AjwBHgCHAEOAIcAY7A3YYAJ+h32x3l4+EIcAQ4AhwBjgBHgCPAEeAIcAQ4AhyBOxIBTtDvyNvGL5ojwBHgCHAEOAIcAY4AR4AjwBHgCHAE7jYEOEG/2+4oHw9HgCPAEeAIcAQ4AhwBjgBHgCPAEeAI3JEIcIJ+R942ftEcAY4AR4AjwBHgCHAEOAIcAY4AR4AjcLchwAn63XZH+Xg4AhwBjgBHgCPAEeAIcAQ4AhwBjgBH4I5EgBP0O/K28YvmCHAEOAIcAY4AR4AjwBHgCHAEOAIcgbsNAU7Q77Y7ysfDEeAIcAQ4AhwBjgBHgCPAEeAIcAQ4AnckApyg35G3jV80R4AjwBHgCHAEOAIcAY4AR4AjwBHgCNxtCHCCfrfdUT4ejgBHgCPAEeAIcAQ4AhwBjgBHgCPAEbgjEeAE/Y68bfyiOQIcAY4AR4AjwBHgCHAEOAIcAY4AR+BuQ4AT9LvtjvLxcAQ4AhwBjgBHgCPAEeAIcAQ4AhwBjsAdiQAn6HfkbeMXzRHgCHAEOAIcAY4AR4AjwBHgCHAEOAJ3GwKcoN9td5SPhyPAEeAIcAQ4AhwBjgBHgCPAEeAIcATuSAQ4Qb8jbxu/aI4AR4AjwBHgCHAEOAIcAY4AR4AjwBG42xDgBP1uu6N8PBwBjgBHgCPAEeAIcAQ4AhwBjgBHgCNwRyLACfodedv4RXME/h97VwEd1dV1dzKSiXtCAgR315aWUoeWursrdeqUeql/la8ufx3q8lVoS522tLhDgAQnCXHPTCb2r32HN0wmk+QNYchMcs5arKbJm/fu3fe+N28f2UcQEAQEAUFAEBAEBAFBQBAQBASBjoaAEPSOtqIyH0FAEBAEBAFBQBAQBAQBQUAQEAQEgYBEQAh6QC6bDFoQEAQEAUFAEBAEBAFBQBAQBAQBQaCjISAEvaOtqMxHEBAEBAFBQBAQBAQBQUAQEAQEAUEgIBEQgh6QyyaDFgQEAUFAEBAEBAFBQBAQBAQBQUAQ6GgICEHvaCsq8xEEBAFBQBAQBAQBQUAQEAQEAUFAEAhIBISgB+SyyaAFAUFAEBAEBAFBQBAQBAQBQUAQEAQ6GgJC0Dvaisp8BAFBQBAQBAQBQUAQEAQEAUFAEBAEAhIBIegACgoKMG/ePPTs2ROhoaEBuZAyaEFAEBAEBAFBQBAQBAQBQUAQEAQEgQOLgNVqxbZt2zBlyhQkJCS0+eJC0AHMmTMHF154YZvBlBMIAoKAICAICAKCgCAgCAgCgoAgIAh0PgRmz56NCy64oM0TF4IOYMGCBZg4cSII6qBBg5oHtbYWePJJYObMFoEvn/MgDL2GIOyQs9q8QHICQUAQEAQEAUFAEBAEBIHOh0BGxi3o0+dpBAebOt/kZcaCQAAhkJ6eroK9f//9Nw499NA2j1wIOoDly5djzJgxWLZsGUaPHt0yQb/hBuC111oEvuS5y2EcPA4RU6a1eYHkBIKAICAICAKCgCAgCAgCnQ+BNWtOwpAhXyA42Nz5Ji8zFgQCCAHdXFLnnISgC0HXuVXkMEFAEBAEBAFBQBAQBASBA4WAEPQDhbRcRxBoGwJC0NuGn8dP6wa1pga48cbWI+jPXgbjkPESQffBWskpBQFBQBAQBAQBQUAQ6AwICEHvDKssc+wICOjmkjonKxF0byLoJOg33QS8+mqL8JaQoA89GBGTr9G5DHKYICAICAKCgCAgCAgCnRsBuz0XJlMigoKCOzcQe2YvBF22gSAQGAgIQffBOukGdT8R9NrCHag8azyif9vtg9nIKQUBQUAQEAQEAUFAEAg8BEhI09LuRnR020WWAm/2TUcsBL0jrKLMoTMgoJtL6gRDIujtEEG3ZSyC/cqTETU/V+cyyWGCgCAgCAgCgoAgIAh0bARISLt1uw2xsUd07InqnJ0QdJ1AyWGCQDsjIATdBwugG9T9FEEXgu6DRZRTCgKCgCAgCAgCgkBAIyAEvfHyOQj65wgODgnodZXBCwIdHQHdXFInEBJB9yaCbrcDN9/c5hp0Ieg6d6ccJggIAoKAICAICAKdBgEh6ELQO81ml4l2KASEoPtgOXWDSoJ+yy3AK6+0OIrWROKEoPtgEeWUgoAgIAgIAoKAIBDQCAhBF4Ie0BtYBt9pEdDNJXUiJBF0byPoQtB1bi05TBAQBAQBQUAQEAQEAf0ICEEXgq5/t8iRgoD/ICAE3QdroRtUiaD7AH05pSAgCAgCgoAgIAgIAoAQ9KYEffDgz2AwWGR7CAKCgB8joJtL6pyDRNB9EUF/5lIYh01otg+6pLjr3J1ymCAgCAgCgoAgIAh0GgSEoAtB7zSbXSbaoRAQgu6D5dQNqt4IOgn68EMQcezVHkcrBN0HiyinFAQEAUFAEBAEBIGARkAIuhD0gN7AMvhOi4BuLqkTIYmg+yqCLgRd5xaUwwQBQUAQEAQEAUFAEJAUd/c9QIeFpLjLnSEI+D8CQtB9sEa6QZUIug/Ql1MKAoKAICAICAKCgCAgBF0IutwFgkBgIqCbS+qcnkTQfRFB/88lMI44VFLcdW5COUwQEAQEAUFAEBAEBAFJcW+8BySCLveEIBAYCAhB98E66Qa1uhqYPr31PuhC0H2wSnJKQUAQEAQEAUFAEOjICAhBF4Lekfe3zK3jIqCbS+qEQCLo3kTQSdBvvRV4+eUW4S0hQR95GCKOudLjcSISp3N3ymGCgCDgFwgEBQU1GYfJZEJycjImTZqEu+++G8OGDdsvY+W1evTogW3btjnPx5979eqFww8/HH/88Yfz9/z5yCOPxCWXXIJ33313v1zfm5O09/W9GWugHTtt2jS89tprCA4Oxvbt29GtW7dAm0KbxttZ95YQdCHobbpx5MOCQDshIATdB8DrBlUIug/Ql1MKAoKAvyOgEXQSYc1KS0uxbNky7Ny5E2azGT/++KMiy201IehtRTDwP2+325GSkoKioiI1mSeffBJ33nln4E/MixkIQT/CC7Q67qGOFPdPYTCEdtxJyswEgQ6AgG4uqXOuEkGXCLrOrSKHCQKCQGdFQCPoDQ0NjSCoqanBFVdcgQ8++EBF0FevXt1miLwh6FVVVdixYweio6MVoTvQ1llJlK9x/uqrr3D66aerNc3Jydlve8vX496f5++se0si6I13kRD0/XlXybkEAd8hIATdB9jqBtVmA267TVLcfbAGckpBQBDwXwSaI+gc8ZYtW9CnTx81+OLiYsTExLRpIt4Q9DZdaD98uLOSqP0AXYunIDknSX/77bfx8MMPq3KHlStXYsSIEb6+tN+cv7PuLSHoQtD95iaUgQgCXiCgm0vqPKdE0L2JoHtB0E2jJyH8qCs8LoPUoOvcnXKYICAI+AUCLRH0yspKREREqHHm5+cjISGh0ZgrKirw7LPP4rPPPsPmzZthNBoxatQoTJ8+HaeeemqT+XlD0JsjMQ8++CAeeughvPPOOxgzZgxmzpyJv/76C0ydHjt2LB5//HEccsghTa7NjICnnnpKfW7Xrl1ITU3FxRdfrD7fr18/VQvtmkXgen3Okcf973//U6nZPP7WW2/F5Zdf3uQ6c+fOxRdffIF///0XWVlZqKurQ9++fXHOOefgtttuQ0hISKPPuM7n0ksvbXK+nj17NhkbD1q0aBGeeOIJ8MVh9+7diI2NRVpaGo4++mg1Vm3dtBP+/fffeOaZZ7BgwQKwhIER7JNPPhn33XcfEhMTG12X43jvvffw+++/qzpxjnHJkiXg+h122GF4+umnMXjwYK/3L508Xbp0gcFgQG5urhr/Y489httvv12d091c14BrN2PGDBBf7ruRI0eq9dTWmjXtr7zyCjIyMtQ+vfLKK9XcOH7NmtM70P7e3Fq4rsH//d//4YUXXlDXYXbHKaecotL0PTmveD2O+aeffkJ1dTWGDx+u1iY8PNyjvgL3KB0Xb731lnKOMYskKSkJQ4cOxYUXXohzzz23EUTc86+++ipmz56NDRs2oL6+HkOGDME111yj9qa7voR2//Fe5V7gXLjveY3zzz9fOUzc96fXi9zCB4SgC0Hfn/tJziUIHCgEhKD7AGndoJKg33478NJLLY6CInFC0H2wUHJKQUAQaBcEWiLof/75pxJvI+EhQXc1EqyjjjoK69evR9euXRVZJqEgMSWxJ1GmwJyr7U+Cfv311yuyTYExpuBnZmZi1apVsFgsikyS1GhG4n3aaafh66+/RmRkpCKxJDO//fab+pkR3OYIOglYenq6IrXjx49X5JC4kHi/+eabigi6Ggko50+iRMJcVlaGxYsXqwwE4kWyRoLaGinU/u6JoJOkklwTz0MPPVQ5G3j+TZs2YevWreofP6cZCeUtt9yiyCrnwPVau3atInUU6CNpdy0j0Ag6nRD//e9/FZZ0MqxZs0ZdIz4+Xn2ec/XGSKIpEEdnxccff6yuP2jQIDV+6h24kmmeVyPonCuvZ7PZ1PiZGk8HRVhYmML2jTfeUP8OOuggtb7z589HeXk57rnnHjz66KPOIbaVoN9xxx0Kj3Hjximnxj///IO8vDzltOA1XQkxSTCdB/x7//79MXr0aLUuHO+1116riLW7ACIJ+CeffKLutwkTJqj50cnD8hI6vlxFFLnHjj/+eOWc4vF0ThE/3n/cCyTpxNvT/XfwwQfju+++U1jSWcBzcH9fcMEFiuz7yoSgN0bWkeL+CQyGMF9BLucVBASB/YCAbi6p81odIoKuvUBxzvRY8yXBG9MNqhB0b2CVYwUBQaCDIOCJoPNlnUTihhtuUISMEWRGxV1t6tSp+OGHH5TA16xZs0Dldxojf5MnT1apy3z+Mmqo2f4k6Dynu8AYx/j888/joosuwvvvv++8LkkHf8fvD5JrjYySFJJckZzTPEXQ+fszzjhDRZRJZmgk+swQIAHXPqtdjFH2Y4891nksf0+yyAglSRHPw8i9ZvsSQT/iiCPUPOiIoGPE1bhuJL0kqrSFCxcqEt+9e3d88803zvXgXLlu999/P84880yVBaGZRtBJ+Ijdeeedp/5EpwTJNTMEGJ1mxNUb4zhIar/99luceOKJ6qMcP/fJzz//jGOOOabR6TSCzl/yulTzpwOGpuHGSD7367x585RThEanEQktMzroSNKyCdpK0Llvvv/+exW9pxUUFCgiTefQr7/+qhwwmk2ZMkU5Y6677jq8+OKLTucDo9ZXXXWVOsyVoGtjI/nn2mrz5HFWq1U5kXgtzXheknzua2YOuGa6nHTSScqBwf12wgknOD+j3evcH5yH5sSh44DrQGLPuWhlLd6srZ5jhaA3RkkIup5dI8cIAu2PgG4uqXOoAU/Qmb7FujS+RNFb7BcE/emLYRpzuKS469yEcpggIAj4NwKe2qxpI2bqKwmvRtC035MskAAxQsjUafdzaAT2xhtvVOnAmu1Pgj5x4kQV+XO1wsJCFU10b+XGYxkl/uijj5qkCTMKr6WqeyLoUVFRKvIZFxfX6Fp0PDCi7B6tbm61SXyYGs8abBJczfaFoJOUMopMQtWa0ZHA9SCBpePE1ThfEjNmHpDIaiUMGkFnWjVFAl1Ne1Fxb4vX2jg0PQNeg2MneaY999xzqlyATgs6L1xNI+hMJSeBdU0jZ2YC/59zYFr4ZZdd1uizWq070/Tp0KC1laCTXFM40dXovGLpwgMPPKCcBjRGz+kMYtkB3180x472Oc1R4UrQ6VhhBsDNN9+s7rmWjFF5Zo7wH7M73NPSuZ50IpCo0ynjev/x519++UVljrjaTTfdpBwJvB88lVq0tr56/i4EvTFKQtD17Bo5RhBofwSEoLutAVMk+UXFyAP/KwS9/TepjEAQEAQ6FgKe2qyxXpaRYUbhmH7MKCoJmWasF2bkvLkWWRpRZiotU25dCUJb+6BrhJbRW0Zx3Y0EkBFrzoHGul5GF2tra1Ukkm3jXI0p61q02RNBZ1SU0VF3Y9SZRJsRYdfIJo/jdxUjlCTldC4znZ7nZlTfXRF/Xwg6o6ZcEzoWmDXgms7vOk5el+SWa0wy75parx1HJ8pLL72kWukx6kvTCDrHy2t5wotp2xs3btR9M1A3gHNlVgaJoGasnyfRDA0NVU4CpnVrphF0kkmSSndjmjmj2CTB7r3UmY7+n//8Bx9++KHTwdRWgs6uAsxEcDVGqUmEr776arz++uvqT8SN5Lu5lHHOn4TYlaDT4cB7jWvEcdPBwFICT8Zsh7PPPluVCzB67snoWKJjgM4Q1/uPmS68D9z3AvcA9wI1AVg37wsTgt4YVSHovthlck5BYP8jIATdBVO+HDJKwC8N/swvdyHo+3/TyRkFAUGgcyPQUg36ihUrFDFnNhMjdaxXprH+uzli4Iomo4h8brsShP1F0D1FTXkd95ptEkCmJvNfdna2x8VmdJwE1hNB9xTZ5UlchdS0CC0/T8EzRoXd29ZpF+b4GHXXbF8IOgkpSSEjpTQ6JZjNwGg5HdpaRJW6AcyC0GMk/CSUrnNjidmRRx7Z5OPumRDMomB02d1INLWoPLMH6LBgyj0jxa523HHHqQj/nDlz1Pg10wh6c2ugrTUdEe5ZHJ5wbStB93QdT2KGFL8jyeU/El530zJM3GvQmeFBok+nEeczYMAAhT/nT2eXZpqDrLV1ZZYCHVSu95+nsgz+neUDzEJwzQRo7fze/l0IemPEHAT9YxgMjtIZMUFAEPBPBISgu6wLhXmYxsXoBMn5ASHod9wBuHj2PW2TEklx98+7R0YlCAgC+4RASwSdJ9QikUxDpvIzjSJXjBayfrt3797NXpfkjCTNlSDsL4LeXCpucwSd0UkKbnkypiKXlJQ0q+JO8uJungg6hc9YDsBoLrO+GFlnlJdRSzo5SJzd598aQSehIiF3J/zMCCCBZgSXAmVMt+cxAwcOVN+bnJPmnGCGACOyLRnF7lgKQPM0N9fPuhN0jdy5n19L/2cWhaa2zvRud+P8GJ2m6BkzDzRrrR1Zcwr3/Py+EHTW4z/yyCNN0rxbuo6nMTL7jwJ17iJ12ryaI+j8O50q/Dvr17mufA/S7kOq1tM0BwDLTFw1Hjytr+ve9VRion1GCPo+PT7b9CEh6G2CTz4sCBwwBISg74GaLxwk6KzJYn2c9kXbWgSdqVyu6Vw8HaM+rKNbtmyZUlFt1igSJwT9gG12uZAgIAj4BwKtEXRGyhkxp9gUn800iosxvZyK1kzV1Wv7swZdL0FnBJGpvhQ425cUd/copzZXTySWQmaffvppIxE07XhNsdydoDPCytZbTHtm+rerccxM/eYcmovIa8eT4DICStKulR+QxDO9n/Nn2YFe85agt3ZeTdCsteOYdk0nSnJysjp0fxN0ZlBoHQeWLl3aZDjEj0TVfW95S9BZS08MvUlx94QN15yZBdxXTIFft26dyizURA9Z3sAaeL0mBF0vUgfmOCHoBwZnuYog0FYEhKDvUSulEitVcLV6Lr0EXTvO00K0StCtVuDOO1uPoD91IUxjj2xBJG4x7FeehKj5uW3dD/J5QUAQEAR8jkBrBJ0p24ycs+aVLaBoTFNmdJjptySEeq09CDrHpolyMcJNsuNqrtHf5vqg642gU4SNauQU0aPAqauxZp7pw+4EXROpcxfU42d5Lk3YrTWCzuMZdWUduWskWksfZzR20qRJupZqfxJ0OhdYXkAHAVulaUrr7gMhmWW9ODMPKJTmC4LOLAY6LJhRwHp3TaiO1+LfmH3AqH9bCbomCOiNSFxLC8O0f6a/8/7jfUgnBvcRs1cYhPCkLeDpfELQdW3/A3aQEPQDBrVcSBBoEwJC0AHce++9qraRrX202jW9BL1NEfTmCPqWLQA97WefrRa3pFWCvgj2K08Wgt6mW0E+LAgIAgcKAT016BRdI0llNFkztsSieBr7azMtWGvzxL+zVpeiXhT80tKm+fv2IuiaaBeFzUhUtf7du3btUqRVqwlvK0FnBPzll19WrbWon6JhS7V5tqVjbbE7QdfUzUnm+BKgtb7i7/kZTYjNdWyscSdp0yLN2pqwDIF/c+2BzZZddKQwVZ6K7K7rwc8xqvzVV1+pLAnN9idBZ9s59qBnKrZWM+9pb7P1GvudM2tOi27v7wg6r8v15nq4OgLoROA+1nQV2krQeR3t/uCeYKaJ1uPdtWuAa3YG9R64D6ktoLUs5HmojcAe59wPLBXQatFZkvDWW2+pkgp2StDelzRsWebAsg3uIc2EoB+op6q+6whB14eTHCUItDcCnZ6g80WBHmF+UfLLRzN++TD9jy+DfHlpqebRfRF1g9ocQV+zBqCC7y23OAm6cdzRiDiycUsX7bq2DCHo7X0jyfUFAUFAPwKeVNwZTaQ4JyPlJNskDSRaGsng2RmBZHR39erVqgUZ2zqx3prRPZJK1tKSLPJ53hJBaE64qzly1lrNtqd0ZJJblk2RBFLdmqrgnBe/U0heSRzp4OW8NWuNHHoisXQss5SKyu1MRSYpJR4UUWMrLtbjuxN0Xo9EjU4EKq6TQPLzxJ5lBSz14lq4EnS2F6PThFF6iq/xb1wH4k6ixs+69rKms4DrwJR5jomfsdls6ryMwNK5QjLnC4K8F0twAAAgAElEQVTOHvJffvklWJd99913N7sxiT0dJySk7GPOXt2trYG3Nei8OB1HzDLg+jMLhNdkhl1VVZXCm+np+4OgsySPmRu8Dyj2xn1BAs7OCJoDxZWga44M7gESco6La0JnAtPb6eQgjppxvOwlzzZyzAjg/UedBeoOMILPfefesk0Iuv7n4oE4Ugj6gUBZriEItB0B3VxS56UCrg+61lu3pfmxlo5RCL2mC1T26T3rLOC66wDWALr2B129GmAKp26CLinuetdGjhMEBIH2R8BTH3QScZJAkjm22SIZdSXn2qhZ0/3aa6+p1FuSKpIspjMzUk1CzHRc18hee0XQOV6OjW3hmAnAyDnJDPVJWP/NuTKC7aph0ho5bC7KTMJ71113KSLG7yqSM7bDuuqqqzxmEGhjY/o7Vczp+GArL9ZDk9CSaLsTdEbC2RaNxFJTpudnGC1lFJ1r4G48lg4TRtRJ4kjqKGZHob+zzjqrURu9/RVBJ8Ek0WTLOz394rWosCau1toa7AtBJy5z585VwrN0avCdgtFubW/w9/uDoPM6jHpTyZ2lCsSALfY4NzqJ6BhyJehcE0bEWTJCRw/F4bgn6Uzh3mHGhGtKPs9PjQE6FLgfOBc6dqjazyAGybsmWKjtBSHo7f+8dR2BEHT/Wg8ZjSDQHAK6uKQX8AUcQS8tLVVfZO5G0R32/WQUnS8UbCWj13SBytpzCh1NmwYce6zjZ81I0H//HdhTE8cUd4mg60VfjhMEBAFBwL8RIJFm2jBrtX/44Qf/HqyMThAIYASkzVrjxROCHsCbWYbeqRDQxSW9QCTgCHpzc9Nbg+7p87pAFYLuxbaSQwUBQUAQCDwE2IaMImCu9b1Mr2f7Mdb/MsWc2QJigoAg4BsEhKA3JeiDBn0EozHCN4DLWQUBQWC/IKCLS3pxJSHogBLdoehMiyrurgR98mTgxhv3wuwxgn4sIo7cK5bkuia2DElx92KPyqGCgCAgCBwQBBghp/gY67aZBsw0d/4/a7GZGs4Wcp7S/Q/I4OQigkAnQEAIuhD0TrDNZYodEAFdXNKLeXcYgu7FnJscqgtUTwR92zYgNRXYsIHNWJ1p744U95YIuojEtWW95LOCgCAgCPgCAbZYe/vtt8FIelFREcxmsxIiY20vFcxdI+u+uL6cUxDo7AgIQReC3tnvAZl/YCKgi0t6MTUh6Hoj6Hfc4agxZw26FkGfMQO47TYgKwuYP38vQX/yAhjHT24hgi4E3Ys9KocKAoKAICAICAKCQCdAQAi6EPROsM1lih0QASHoPlhUXaCSoFOl/dprgSlTHEru+0zQJcXdB8sopxQEBAFBQBAQBASBAEZACLongv4hjMbIAF5VGbog0PER0MUlvYBBIuj7EkHXCDr7td5+u0TQvdhwcqggIAgIAoKAICAICAKeEBCCLgRd7gxBIBAREILug1XTBSqJOCPoTHF3J+i7dgF//ikp7j5YGzmlICAICAKCgCAgCHQOBISgC0HvHDtdZtnRENDFJb2YtETQ9UbQSdCnT3ekuB93HHD99cBddwFMfSdB/+svp7J7Sas16JLi7sUelUMFAUFAEBAEBAFBoBMgIARdCHon2OYyxQ6IgBB0HyyqLlCbI+hUd9+5sxFBL37ifJgOmiIicT5YKzmlICAICAKCgCAgCHRMBISgC0HvmDtbZtXREdDFJb0AQSLobY2gC0H3YrvJoYKAICAICAKCgCAgCHhGQAi6EHS5NwSBQERACLoPVk0XqJ4i6CTnTHNnBP3vvx3K7gBUBP3g4xBxxMUeR2vLkBR3HyyjnFIQEAQEAUFAEBAEAhgBIehC0AN4+8rQOzECurikF/hIBF1vBJ39zm+9tXENOgk6ldy3bwcWLBCC7sXGk0MFAUFAEBAEBAFBQBBwRUAIuhB0uSMEgUBEQAi6D1ZNF6iuBP3444HrrgNcCfo//ziE4wCUPH4ejBOOlwi6D9ZKTikICAKCgCAgCAgCHRMBIeieCPocGI1RHXPBZVaCQAdBQBeX9GKuEkHXG0Fn9JwknSruQtC92GJyqCAgCAgCgoAgIAgIAq0jIARdCHrru0SOEAT8DwEh6D5YE12guhL0qVMd/dC1CPq2bcC//0oE3QdrI6cUBAQBQUAQEAQEgc6BgBB0IeidY6fLLDsaArq4pBeTlgj6vkTQNYLOHugzZgAeCLrp0BMQPulCj0shInFe7FA5VBAQBAQBQUAQEAQ6BQJC0IWgd4qNLpPscAgIQffBkuoC1VMEnQT9nnuALVuAhQsbRdCFoPtgoeSUgoAgIAgIAoKAINBhERCCLgS9w25umViHRkAXl/QCAYmgexNBZ6u1a64BtAg6/3/mTAdBX7TIIRy3RyROCLoXu1AOFQQEAUFAEBAEBIFOj4AQdE8EfTaMxuhOvzcEAEHAnxEQgu6D1dEFqqcIOgn6vfcCmzcLQffBusgpBQFBQBAQBAQBQaDzICAEXQh659ntMtOOhIAuLunFhCWCrjeCPn06QEJOFfcTTnD8Vwi6F1tNDhUEBAFBQBAQBAQBQaB5BISgC0GX+0MQCEQEhKD7YNV0gUqCzppzprh7IuiLFzuU3SXF3QcrJKcUBAQBQUAQEAQEgY6OgBB0IegdfY/L/DomArq4pBdTlwi63gj6Lbc42qq5E/T77gMyMwFXgv7YuTBNPFFU3L3YiHKoICAICAKCgCAgCHRuBISgC0Hv3HeAzD5QERCC7oOV0wUqCfpddwFXXw2ceKKDqDPFnQQ9IwNYsmRvBN2FoNfUlMBkimk0ammz5oNFlFMKAoKAILAHgbrKGtQV29BQ3wBDdAiM0SGCjSAgCAQAAkLQhaAHwDaVIQoCTRDQxSW9wE0i6PsSQdcI+m23Afff3yJB55fNgAHvwGxOcC6LEHQvdqgcKggIAoKAFwjU5FaiensZ0LD3Q6bkMIT0FBVkL2CUQwWBdkFACLoQ9HbZeHJRQaCNCAhBbyOAnj6uC9Sbb3ZE0Bk5P+kkRyRdI+ibNgFLlzaOoB92EsIPuwAOgv5/MJuThaD7YO3klIKAICAIaAjUV9Wgak2BR0AsfWJgTAgVsAQBQcCPERCCLgTdj7enDE0QaBYBXVzSC/wkgq43gk6CfvfdDmKuEXS2XnvgAYAEfdkyh7I7ReKY4i4E3YttKIcKAoKAINB2BGyZxagttHk8UbDFgLARSW2/iJxBEBAEfIaAEPSmBH3gwA+alEr6bAHkxIKAILBPCAhB3yfYWv6QLlCbI+gPPghs3NiYoD96NkyTTpEIug/WSk4pCAgCgoArAnXldtSV2dFQW4+a3ZUtghM2KgnBZoMAKAgIAn6KgBB0Ieh+ujVlWIJAiwjo4pJeYCgR9LZG0PeFoGcugf2KExE1P9eLpZJDBQFBQBAQBFwRsO8shz27QjcoIb2iYUoK0328HCgICAIHFgEh6ELQD+yOk6sJAvsHASHo+wfHRmfRBWprEfTlyx316Uxxlwi6D1ZJTikICAKCwF4E6irssK4r9AjJxkoblpZWIslswuFxETAHB6vjjLEWWPrHCoyCgCDgpwgIQReC7qdbU4YlCLSIgC4u6QWGEkHXG0G/6SZgxgxHDfrJJwNXXQWwBv2hh4D0dGDFisYE/fDTED7xPBGJ82IzyqGCgCAgCOhFwLa5BLUF1iaH/1RQil3VNc7fhxmCcXpSLMzBQQgOMSBspNSh68W4oxzH8ocgo8NJI+bfCAhB90TQ34fJJI5F/965MrrOjoAQdB/sAF2geiLo06cDDz/sIOgrVzrIuxZBF4Lug5WSUwoCnhFoqKlHXVk1+N/gSDMM4aYODxV7fNdX1qjaa0OECUGmzlVbXbUyD/XVdWqda+sbEBwUhD+Ky7DNakf5jm3YPm8uuoyfgIQRo3FoTAQGhFvUseFjkxFkELLW4W8Q7otCK+xZFai31qrpGuMtCOkTg6CgoM4w/YCcoxB0IegBuXFl0J0eAV1c0guUJILelgi6EHQvtpocKgj4BgGmOts2FStyrpk5NQLm7pG+uaAfnLWusgbVm0ucxIOEw5wWCVOXcD8Yne+HQOdE5ZLdsNXXY35RObJcIuaob8CqV5+HrbAAofEJGH79dBiDgItTE9TAQofEwxBh9v0g5QrtikBtiU09F9DQdBhhwxMRHGps1/HJxfciUP71f1CXtQUx172isg67dbsNsbFHCESAwmPgQImgy2YQBPwdASHoPlghXaDeeCNwzz2OKPkppwBXXgloBH39emDVqgMSQeeLKZWK64pt6sXDEB+qRI+CDBIR8MHWkFP6OQINDQ2wrilwElXX4YYOioMhKsTPZ+D98Brq6h1z3hM9dj2DZWAcjNEdb87uKNVX16JqZT5mZxfC3tCA0q2ZCE9KQbDZjCWPP9jo8GFXX4+wLqm4JDUehqAghPSOhilRhOK833mB9Ymq1fkenwtOJ15alPreNMSEdEhlf74r8D2Bz4kgUzCMcRa/zRwpvu4QGNZvQdQfu4Wgu91mQtAD67kjo+28COjikl7AIxF0vRF0TwT9lluARx4BPBH0I85A+KHn7NcadJIR24Yi1VLI1fjFa+kn9Ule7Hs5NMARYO1xbZENdSXV4H3hyYzxobD0jQnwmTYdfk1uJaq3lXmcF1P7Q4c6IsUd2dhabdeqXHydV4LSzZnYMOcdRHTtjm5HHYMNH7zTaOrhqV0x9MrrcGx8FLpbzDAmhMLSp+Pti4683t7OjaSUJRB6jNknptRwmLt1nIwbpvXbd5U3mj7bC4b0j/XL8h8h6M3vVAdBfw8mU5ye7SzHCAKCQDshIATdB8DrArU5gj5rFrBuXaMIevGss2E+siWCvgj2K0/2us0aI+fV2z2/mFsGxMIY46ixFBMEOjIC1VtKUZNf5Zwi05z/KanADqsdkUYDDouNUOrdtIiDUjxCUW+rBYIcomGBZlY66Uqrmx12R6+xrrfXoWpFHjQxuEUPz3RiERITi+qSYvX/8UOGo3DdakT16IVBl1yJoRGhGB8drsTC2A89KFiyjgJt7+sdb21ptcOZ3dCATVXVsNXVo1doCGJa0Gmgk5vO7kA3T+RcmxMdeJYh8X5Xgy8EXQh6oN93Mn5BQBeX9AImiaC3JYLO1muPPuog6KtXO5TdARTPOgvmI89sIYLuPUFnuhojAqyz3WmzI7u6BhGGYAwKDwXfM03JYQjpGe3F0suhgkDgIaDqSjc6CJhmfxWXI6OqGqVbMhGR0hWhYWE4PyVe3RfuZJX16tVbS1Ff5RCNMkSaEdIzCsFhgSMqV7k8Vz0HcqprsLmqWtVXD4oIRbTR4WwIG5YQUPPRuwsb6hpUVJCOStrbWQXqv64EXTvXoIsuR1SvPlj54jOoq67GmNtmoJvFjMkJjmckW62x5ZpYx0SADjzbllJ8k1eMwhqHkCAtNDgY53SJU88GdwsOMyJsWGLAAsJMImbX0TGhWa69Bvb6BqSEmGDcI4wXOjhePff8yYSgN78aEkH3p50qYxEEmkdACLoPdocuUBlBnznTQcK1GnQS9MceA9au9TlBry12CN6sr7BiYanjBZXWPcSMYxOiYIgOQehASYHywfaQU/oRAta1BaBAmmaMkL2XXYii9HXI+OxDxA8eir5nnoepidHoYnake2uK7g01dahaW4gG+94Xdp6HUXQeFwhtmDiHyuV5ykE3r6DUqX/FVmInJ8aA/+2I5JMOSuu6AqdjhetGgt5QV4vFjz7QZIcOvu1ORIZHI/PLT1G4dhVG3ngbIuPicWFqvDq2o4sI+tEt2y5DYRR5U0YhfisqQ+6ShShYsxK9TjgVYcldnOMZGRmKCIMBoYZgJJtNqg2fP5JXPQDasytQk1OpOjpo9mVuMUpqHc+6cEOwKvGIMxlVx4fQIf5VBiMEXQi6nn0uxwgC/oyALi7pxQQkgq43gn7DDcC99zoI+qmnAldcAWgEfc0aSm36NILOyBFfOj7dXYTi0jKkv/cm0o49HjH9B+KMpFjERpoRNkL6+3qx9+XQAEOAdcfW9YWNRl1eW4fPcoux/cfvsHvxvzCGhWHM7TMxKSYCfcMd2gxa2qp9Zzn4IuvJ2H7J0tf/dRw4fs7ji9xilNbUYt07ryMsqQt6nXgqSDhGR4UjpEdUh1Nz91R3T4JuLy3Biv8+3WhJV+akY9S8H5BYUQfL179hx88/oN9Z5yNu0BBckBKHkOBgJQwWOkAcmgH2CNA9XGbJ/LYxV2XWuGZYDLnsakR079HkPKcnxar090DMRNPeDbRJMWI+O8fxnCzN3ISSzE1ImzwVXSwhOCHRkUFijAlR9ej+0m5OCLoQdN03txwoCPgpAkLQfbAwukBtjaAzik5ldx+luDN6XpxfqchI1l+/Y9fvv6hrHXT/o6quclhkGMLGJfvNF64PlklO2ckRcH8RJRxFNbX4X14Jts79GnnLFjvviUHhFkyIcbRaY7SUVrUqD/W2xtFzV0jDRiQi2OK/rZeYnm9dV4jimjp8lVeM2ooKLHv2ccec750F5u1e3jVBkXOS9I5kjJ7XVdSgur5epeyy5/knu4tQkbUL6956tdFUv0n/FacuWQOLvR5pv63Chg/fQ7cjjkHXSUeqLIMEs1FlTYSNFIdmR9oj2lw0jQLuj+KioiYOnLDkFMT2H4jK3VlqX4SndMWFKXEwBwcjyMx9kRgw36MsdaEegyaUWVvfgPf3kPPCNauQ+dWnChat5IPPB81CekWrDjD+YELQhaD7wz6UMQgCbUFAF5f04gISQd9fEXRXgv7ImTAfddZ+rUFn/fkXOwpQXFOLlS89i+piR50ZCfroyDCMjApTL5yBKHrlab+y3pRCWPXWWtWvlhEvEXXy4s7ugIfaNhahtqRaaTD8XNhYLHHLN18if+Uy5z3BHxRZTQxTbbW01PCWYPF3BXRNHG5xaSXWVlix8oWnUV1SoqY0+ta7YYqIVHPuaF0d+CyoWpaLzEqrEgOscRHtL9m0ARs//kBhEJHaDfnbM/HV+p9x4arNCGpowLAVOVj5/FNKMK7vGec4n5U8PnxMckCUNXTAW9lnU9LucwpHfphThMK1q5H55SfoMXkqtv/0fZPrDrnsGsSkpeHi1L3ENZDS3GsLrbBlliCzyqb0KLKqHeU/5Tu2Yf27bzrn2+/M8xA3eKgzg0T7Q/jYLn7RolUIuhB0nz0U5MSCwAFCQAi6D4DWBer11wP33edIYz/tNODyy4GbbgIef9xRf06hOC2C3hpB3/Qv7FedqkvFnWm9KjW3zI73sgtQvHE9Nn0yx4mCK0HvKCq0fMkiGdGEvLTJutYTa7/T+sLzRaXBXq8cFMYu4TAlhPpgp/jHKdkHm+3F6u31MIQZERxp7hTOC4qjVdpq8fHuItRarSjdvAlxA4YgyGR01horp5VLNJnOnbDhiaolmy2jsbicp9X0V4E1LSpor6/H7JwioKEBix651zmFkTfcipC4eEXQ/d3R4O1dVFdWjfJ1hWrdK8rKULIpHYkjRyPrz99RkZ2F0s0Z6HPqWShctwbzfvsEpd3icdwHn6vLDN1ehXWzHkJIdAyGXXuT+p0WRQwdEg9DhH+JZXmLjRzfGAFNQFHLrNm9cIEi5gPOuRDWokJV7vBz5gIc2/dQ9cGRN92BxPg4nNllb7lDIGWgsOxtxYY8LKIuDdtNBgWhobYWix9rrMvQ64RTkDRmPMZEhWN4ZCg0jTymuIdSVDK0fTOHhKALQffFs4zvSjXZleB7NDPMTImhYPtVMUHAFwjo4pJeXFgi6Hoj6M0R9CeecLRY8wFB54spFatJQivq6lX9ufbCoa0xCfqYqDCMiAwDVWiV2NUetVYv9oFfHdpSGyn3qBdJF8mXuwViLaGeRWBGgW1TUaNUbQoEst93IIic6Zmjp2Pqq2pQtabAqdy9/p03UL5zO+KHDkff08/Bxo/eR0nGRvXRMXfMhDE0zEnEiA2/oGty97Zma24c5rQomFPC93WYPvtcxaIcWOvq8V1+Ccrr6lFrrcKypx91Xm/4NTciNLmLmjP3Ae+TjmIkIVszCzGvsAzbvv8GuUsXoctBh2D3on+cUxx4waVYk5eBz/5zN4ZPuwXDr71RCWLF7qxA1jP/RVVuDgaefwmi+/bH1IRodAkxqcwKZliIdQwEXJ1wu+01+D6/FLv++EU5cgZfehUi03qiIH0t3vvjfVhWbsDYrsMwfubDSAm1KFFJzYIthoDRc6neVorXl+9QYolLnnwEicNHIfXQSap7gat1P/JYpB52hPpVr1AzjozbWwLDDhahQ9u39ZoQ9ObvQYeK+7swmRwCl2L6EKBgIkvCVEtVF3Mte9N3JjlKENCHgBB0fTh5dZQuUK+7Drj//qYRdBL0lSuB9esbRdBDjjkbYRPOBh+uAwb8H8zmvS/MNp0R9Ko1+c4ocr69Bt/mlyLrz9+w649fnfNzjaDzlyQjgewhrK+uRdXK/GbXj+1hzGmRCA41od5aox7AzVnooHgYojpWhIwiacob7GZaKrdXGz+ADmZ6e2mhVdUdl27OxIY57zhHH92rDyqyd6l2WrTh192C0IREJ0H3Zpr+mB5O1Xqq1zOtnentO3+Zp+pnS7dsdk5NIyBadNhfUle9wb65Y+mwS88uxd8lFVj18nOwFRbAFB6Omsq93Swq774aEYMGIX/FUiSOHIPU0BAcFB2OxRvyUPvR19i9aAGievbGoIuvUL8fEhEKU0o4QtI6Vq3+/sA7UM/BVG9mUjHLZE5OkepwoIlHag4sqzkYi8zFWDDtSlx2yg1InXg4RkSGqsiyq/lrJo372uSnF+Cj9BylSUNtGtrgi6/E+vf/r9GhcYOGoqaiHCmHTETsgME4Lj4KqZa9342WAbEwxrRf20Eh6M3fdULQ9+2JVL29zNmS0/0M/q43s28zlk+1NwK6uKQXg5QIut4IOgn6Aw84SLiW4s7Wa08+6SDo6ekOZXcAJQ+fAfOx57SJoNPrV7VqL1HdYbXjl6IybP/hW+xestC5xCTo8SYDTknaq0AdPr5LwEbRa/KqVJ9qvlwV2GtgCApSkTB3Y5SQkQ4KRzVnHY20uu8J93mbu0ao+uNA6umt51mlEdRNlTZF0tLf+z+Ubd/a7Ec1QSRNsVvPNbRj/FE8jH2/y7aWKNJB89T3mw4JOiZOSYpBvIn9nDtGL3RmD1Utz8XKkkosK6vCmjdeRtXubOeS1tXXYe7GPzB57i8IS3I4Qdnz+cYeyarn9cNLt6BPthWLZ92H8JRUDL3qemgCgkGmYISP7jiZBt7s8454LL8va6w1qu0ijY4cRs/ZYm3ULXciLjYWDXEW/BHtSPAevNOKhBrg5KQY1YbM1QIlyrZ1xW58uzUfW77+AvmrlqsppB0zBTt+mad+ZmbJhjnvOqfGzCJmGMUaDTgtee87A1N/Q3rHtNu2EILePPRC0L3fltr3BvVLPFmg3N/ez1w+0Z4ICEH3Afq6QG2OoD/1FLBiRYsEvVevWYiIGOEcuW3jAtivPr3FGnTb5hLUFlgVUc222bGpyoatVjsyPv8IRevXOs81/t5HEBQc3ChaGNIzCqZk/0vT1bN0nHdVXiXmFZQhv8aRmuSekufpPFR3ZhkAX7QswY6XLRJVEpWOYpqKOXt/b6mqRk1DA3qHhTjnq82zo0UGtcjY0tJKrK6wYt1br6EiayeSxx6k0p2zynZje3E2Dk4bieCgYHQ7/Gh0PfwoBcf5KXFN8GltP4SPTkKQydDaYQfs79VbSvDTxlx1/9vLSrHi+aeaXNtgDsHYu+/HxJgI9HdrL3fABuqDC2mlDX8XV6hn4KqXnoWtaG/WzIervlVXPW9pOhLDwvBk/26wuJCtq5ZmYtgOq0r5ZW3uqOl3oW9YCCbFRqrPdRTdDh9AH1CnZDpr5bJcRwlMQwPWvPESqnJ3O+fAeyM5IhxnTuqNP+w2rCm3oldJDQ61Bjch5/yQMdYCS3//b7u4aVEWfswqws5ff0L2gvlqvjH9BqIkY4NqvZg0ciyWPPkQ6mv2OrLH3nkfDBYLLk1NYFmu47uS6vWj2q+rgRD05m83IejeP4o8tWR1PQszK5lhKSYI7E8EdHFJLy4oEfR9iaCffjpw2WUAI+g6CHpQkAlDh37pXJbWCLo9pxL2HWVgy5S5BSUorNnbGorKrFRo1cxVvVn7XSCLRFGtfkl+GVaVW5G7ZCHMUVEqJW9SbAT6hnlOwcustOHPEkd/a2MQMCk2Cj1DHcJpYVRq1t5CvLgx/O1QRs+tawpQW9eAufnFKNizJ8xBQTgpKQbRxsaEkq3F6CUOZKNYoC2jxJnS/2dROTKt1VjJvtdBQPLYg7Him48wL+NvHPzgEzh4wMHIf/JZBBkMGHD+JSqluX+YBRNjHW3W9Fp7p3u6jpOaA4UrcvGRSu3PaBQN43EUv9r4yWxn+jZbLg6NCIW/1tLrXQPtOFtmMWoLbUp/o8itZVZ2eR6KpkxAnc2qIqRHx0fhUpc2UjzHFzmF2LkwGxvefRMVO3dg/D0Po2uoGVMSHDXHQYZghI1JCtiMI2/x7KjHU6+ldF2BElAs37a1UYp3sNGI0TMfgqVnFKaN2tsDXcvM8YRJexNWveu09q8d+C2/1KnNwM+ZIyNhLy/HsGtuRFhylyZOfUXcR49Tl9D0GPhze3aB2Z8EnU69+uo6JRjbEbLJHGWS78Bs7jjBBr37e1+PY9YZU9xpv/zyC+bNm4cHHngAERGOdwHqNKl3Q4Mml7ivV5LPCQJ7ERCC7oPdoAtU1wi6K0F/+mlg+XJgwwaHsruHFHdvCDrVmq0r81VfUy1imP33fAQFG9Bl3MFY/HhjdVat9vQyikO5YGPpE6MeUIwsaObP0SKmJNUV21TLmP/lFiOvvALLnp6lhn7QfbOQFGLCiYlNU/AK7LX4Jr9E1R+zNr/rxEkwhkc4owNU8G5vhdr9sWW1FmNaqUPe8iWozM4C1Xn7h54UCZgAACAASURBVId6JKGMiPBFMxCN+59115qSf0lNHb7MK0ZDTS0WP/Egonv2RpfxE/DCrGtQWFWCC1ZmwsL+W3c/AWtBnpry0KuuQ3Rq10YtlPRg4S/ODSVys6YA2eU2fF9Qii1ff478VSsaTWHEddOx4cN3wFSbkTffgcHhFhwc43gJ4Qsq2xOau0cF5IuI1kJKa5nFzCFmEEX37gNjaDgsF52FnFSHEyrCEIyZfVLRzaWuVr2cFZbh72W7UPjubJV5NOa2GYiLimqk2h1IbbX07N/OeIw9uwJL1ueqMghPJSDmd57DkJhw3N6rixMelQa7NNfZQ9wdN39/fjJ9d8X8barsJ/PLT1G4dlWjKWhimfOW/YAFzzyCEwYe6fw7s4woGueafdee7wf7g6BTsbt6W5nKPNTMGBOCEAqoupUwBNI9IgTd+9VyFQ++5ppr1Akuu+wyHHzwwXvfhwfEgftDTBDYXwjo4pJeXEwi6PsSQT/jDODSSx0RdBL0ZcuAjRsbE/TJ5yHs4DOVSFwTgr7hb9ivOcNjijtfNNhWjabS9eobsGiWo51SeGpXRcpcTVNnHRBmwaE6I4Ws32YrGf7zBw8inRIkoCRjTOl/J6ugUR/X4dfehNCkZFycGg+jm0K9ltKotZxixICRg0NjIjCAqb79Y1W6YiCblubr3BMudcieMii0uWppXForOm1fBZkNMMZbYO4a6Rfr72lt3NuifZNXjPzqGpXSTuEnRoDiDzkU9111tPq41vc66Y2vkLPgT/W7vqefjfihI7xOc/eXDJTqHWWoyanEVms1fi8qx9Zvv0LeiqVqbqwzDTaZVZr/hg/eRun2rRg/40GkhYfh2ISmwmecU31NvdJt4Lr7u3iictCsKQAzCDZX2TC/uEI54CiSOfDCyxDduy+2JIegMNKIi1LjMSoqDIlmU5OtRCfnu+uzEPL250q7Q3uWuOoThPSKhilJ1NwD+RnJF/I31uxSU3An6Nk949Dt4ftxSdcEHBPf+N6gE5CRdE/mT5k0nsbHrKolC3aoFmsbP3oPJRmbnIcxa2DcjAdREmHEkqqd+O7042AxmnH6kCnOY/qedjbih43AaUmxiDUZ0J6Oyf1B0LXnpTtWxoRQMGARqNZWgk5HJyPK9bY6BFuMMHeLADu/0OjUUC9dhqAOlUVUuSIPDfY6bNiwAc8995ya60knnYQTTzzRuQ385Xs+UPeljLspAkLQfbArdIE6bRrw4IMOkTiNoN9wA/Cf/+xXgs52SrRtVjt+KypDdXFRk5Yp/Ht1rR0hRocKK9M7zVHRjWrK9MBERXS+hLS3d9m6rsAp9lZeW4fPGEFfvgRbv/ufmkZM/4EYcO5FSLOYkWg2KhEsRsqckbX0tcj47CPnlCmc1y8sBIfFRiKkR5RyRASyueJDh0RtZSWWPfOYmtKQy69BRLc0FUFMMBsxIToCoS7RgtCBcSqTgkSnyYtLrAUh/WL88otZ02DgmCvq6vDp7mIlgkQxJFqPyVPRcNQhePHy45FyyCQcfL+j5ViXuf8i+5NP1M/dj5qsVJpPToxR2Lga+1/XVTRVw9eOae86dHYzsK4qUNG99Aor/i2tRManH6Jowzo1xGFXXw9jt64w1zao+4T3C8lnampqI/EnT/ueJR+WQXF+3QPc1Sn1QXYBmByx/JnHlHK75pQ696g+SIppmVhnVNrwcGYWUt/5ThF8qln3O+s8DIsIxbhox3Oho2k2BPKzbl/G3lBTD/Y/57Oxoa4Oix+9X51mzG33oMZahYx+caiOj8KzA7s3ceKwTVlz7Rcpumnu5r9lQqyz/WfhTqwor4LWdlLDLyQmFkkPzMDuGBPqDEHY9sO3iB0wCGsuvwKHpI1Sh3WddBS6HXE0psRHoavFrEgbvy/aw9pK0JltVLU8z3M2RNCe9P0AzSZrC0Gvya1UWQXuxneiujI7+JylsRSA2kV8Jwx0c+0ENH/+H/jwQ8e74bhx43Al39/djPe4vwSrAh37zj5+XVzSC5Akgq43gk6C/tBDDqV2HxF0pmaRmCworsDGKkdv79LMTdjw4XuNlnRHSTZW5KxHYni8+rIlWely8KHqmItS4mHyoubaEGGCZWB8u0VStRdxOnErauuw3WZXraS0fsfaxEm6XY11tl3MJqVsv/TJh50ttngMU+KjTUackRyLQO+HrqX5cl4qW4AlFJs2YOPHH6ifWYPM3s5MbyT56BIR5rEUoLlnAl/ING+6F88Nnx5KUsqXrawKGxaUVKi+37Tt8+Y6e1+Pmn43svrEIz/CwIIyBAcFqUBAj4wCbH3EURqRNGa8KgE4Ji4KaaGNXzwiDkpRXRLce6RqE7MMjINxT5TBp5Nt5uSaICB1KN7PcYiiaS/hA867GDH9BiAnxoSUkhrkLV2Mrd9/jT6nnoWUESNxUWrrtYos+2D5h78a931VRgkWl1ZgfaXN6ZQKMhpVpkB9cBBuPmVoq/oSudU1uH3jTpS9PQcRfyxR0x0/4yHEhIao5wPNH1vr+eu6+Nu4mBXE6CCzhPh8tJeWYAU1Kvg9sOc7Y3mvMJzfPQGT9+gOuM5B6xriaV5Mf7UMaB/Cqgdnzv3v9FzVfnHNay/AXlGBYEOwqj8vjgtF/POPg5oUzMDJtzsctN+OH+FMdWf2Tc+pJ+OwmAj0C7eAmXXhY9qnq0FbCTo1CKzpji4XniykTwxMCaF6YPW7Y/aVoKsSDkaSXcocW5sc97wh1gJmHQSqdk9NgRXVm0vUVFl7/uWXDv2ntO7dMfNeRzaquwWKKGRr6yd/b18EhKD7AH9doF57LfDwww6CfuaZwCWXANdfDzzzDLB0KbBp0z6nuPNBWrnEoTirvZDXVlVh2X8eBT3h1SXFzln/uvkfTPjsK/Xw/OWis3FCl9FKuZqCWT2nnqQEokZFhnlF0tszglSTX4XijGL8WrhXtZ2TXfM6VXgd2QS00IQkDDj3QkVM6ZAgKR0eEapUvTM+mY2ijenOY9nzNiK5iyIq5rjAUOP1tK1Vmi9JZHUdsmx2zCssQ+Ha1cj80hEhpvU+8TRU7s5Wqd+MhjAqcl6XuEZR9JZuGXqOmWXgT8Zof9nKPCWMZrPZYCsqQHhKV6fYkRZBXZMWitBwE6KMBpyaFIusajsWrstFcm4lljzxEGL69ldicQdHh2NwxN6XM42cVm8pBfefJ2vvzAut3/0XucUora2DraAA6R+wt3GQUiJvoBjiYT3x6z/bYd2wUTnxtIwBve3lqE8Q0j8WTPXzN6ODYv2mAiX+yLZqldnZ2PLdV0g9ZBK6HzMFpWEG3Hfc4FaHzefpZWu3onbdRgQ/+ao6fuQN0xESl+DsfCGpjq3C6JcHuApBcYAk6BU7t2PdO2+o74vh192MSLMB5xw/EGHN1CC3JBTHUqDwdlQ2bw50OhVJQNhi9K/icmRUVWPF808i2GhCWHIKitLXYqelFj3eeAkXpMSrtP7nt+diVXkVfrv+chxWGg5DsAFxg4ag31nnY0xUGEZEOjJR2ksorq0EXSNllXX12GWzq1K4HqFmZ0lcIDvq95Wgt+a0aOmmVoGb/rF+1c1E70OIbXrpeKN98cUX+Omnn9TPISEheOGFF5o9DZ1xUpOuF2U5zhMCurikF9BJBF1vBL05gv7ss8CSJUBGhkPZXROJ01mDrrWH0daMLdV+LCxD1vzfsGv+r42W8t8dK7C1eBfOX74JwQYD6uzVyD77EnSNcgjfjLv7AQSbHZFCSoOdvKe2rLX9oNTORyUpD/qBNntWBf5cl4P1FTYUpa9DeHIXhMTFY8njD6q0fSo0M62V1vO4E7Htx+/Uz4yOmIKgUl8ZWWTbrbRjj8P2ed+j35nnIW7wUJzbJQ4RkSEB22qNKdjWdY7oqRY9d6+vJCljXTJLIRKGj1RR1JYU793X1x/bjZA0b1yXh9+KyrHxw/dQkrkJ1FrY+fvPjrW/b5ZK27z55CEI3tNSj7+nQ2P6PxnonVuNZf95DKawcPWSzrIIttViX2xzcJD6EuaXsfsLvis27flCpyIfy3KxsLgC6yqsqMzJwto3X1HD4wv4sGtuQNdBCTi+fzKe/WkDjNuysOb1F5WIZI/jT/KY0t/cfa3UbNlWrh3u/ZaeNawp/jEjDzus1dD0JXh8r6mnIGnseKR3teDVg/rpelw9mJmF7WU2xL36iapDH3zJlYjq0QsU1qR1lH7o7HrQUNuAIIvBL8tWdC2WzoPco4N0YtGZlb9yGbZ886VznxyfFo9+Y1ObPat2r/G/nszfhOI4TqXNYHNExH8rLMM2m11lkVniE1Qp2LYfvkPVsRNgHzsE9/VJVW0Xy2rrcOuGHaissqL32mxsf+klpWkz5PJrMSjcggl7hCXbSyiurQSd2j27txTjh/xSVDfsXcuzu8QiwmBQTsjQoa1nFuncfgf0sH0l6JqeEdHYabOjtqEBaSFmGHVmWBrjQ2HpG3i1+1Wr850lfe+99x7++ecfGPi+XFeHiy66EBMnHuZx/QJ1vr7YjHzOqPKHBiA43BSw2RS+wKalcwpBBwPWSzF79mz89ttv2Lp1K8LDwzFkyBDMmDEDxxxzjNdrogtUbwj6Q6fDPOV8XSJx7lE8KpgX1dY16mvKCRVNHI4fX3akeVMQS7Otr7+GHgs27Hl57wKmv7INW9zgYUqh9cKUeEVKWrP2SgGjt/PjNVkoLCnFsmcfV8McPu0mrH7V4ekcc8e9TjX3rhMPR9bfjl6vrinv7I3MPq+MrGd88TF6TT0ZSWMPwqlJMYgPNbdb2l5rmLf2dzovGEnU6vKtubux+vUX1ceMllDU2qzoctChKFy3GjUV5YgfMhx9zzhH/V2rK2ztGvw70xr9haCRnPOemF9Ujs0kZw/PbDIFrn1MfCguPrxvk7/NztyNotX5WPvmy7AW5CunFVPgNeseYsbUoSkqa6CWXQM27c1OcT1Ze6a8sba0dG2+ahnl3vc8olt3VD9yK87qFo8TEmPw6O8bEZpdgmVPP4q4gYPR7+wLcFSco82gZivLqrC83BFROCExGsluYmqKpI9L9itSV7UmH+9k7IbVJWWZ4x9w/sWoGjcUWfFmfDC8t57tje3WatybkYXun/yG7XO/cYoHumYahI/t0m5lProm4XYQX6Do3FVpqA0Aa6kprEij8CfLVlT3imDHz/6YJbEv89Y+U1daDeuGvSnNayqsWEKdhs8/Umr97G4QnpCAS4Z0RUQraequGh/uY/I3kVF38cwfC0qRZa3G4ln3IbpXHwy8yNFJZlNKCEZ2j8UV7O6y5/n3d3E5Xt+Zj7T8ahQ88yIqc3dj7B0z0T0y3Nl2sL3q7ttK0Ln/f03PRWaVDdt/+h6m8AilP0K7fA8GYWMDs+XqvhJ0dsSxF1jxQ0Epcu2OWnNmkpySGKMy7HbY7CozL8JowODwUOrENbYgIHxUsnJgBoq5B7xefvllrF69GkcffTR+/fVXREVF4WkKOzdjqh49Ndyvvgt9gT2DGfWVNagrtSPIGKS0B7SWhNQmYIYOxZvV94kxGCG9owNebNkXOLqfUxeX9GIgARlBP/PMMzF//nycccYZGD16NCoqKvDOO+9g7dq1eOWVVzCN9eJemC5QPRF0tl6jQqR7BL01gp7+J+zXnoXIX3IcNUJ7PL419Q34IKcQ1rxcrH7NLRXnracx/9brVCSR6tRMXZuTU4ighgZ0/2oBtv3v80YzZg/oQRdfAT5aWWsZ6dYn2x0eqhhTzfhAG1+y3lyfhaqcbKx582V1+R7HnaiUumkkY1o9OiPEBatXOn+vjVVFD+LikXbMcUj/4G1nqvdxCdFIDTEhnF/MAdhmhdFza5lNETXayheeRnWJo7aKwoArnn8KCcNGoiRjoyLrmlG9N9hkcqbw6lnTUIqGRbVvyxHXjIE/isqxxVqtiGetdW8aOl+8Rt82A8PHpuKItPgmU/s6pwjb/81yCqpRKCr7379gCotAyiET0Tc0BMeO6qpEYVpKb23PiAsdM1szC1VJg6tyOycbdeapqDj5CMzsk4KB4aF4btEWGHZVqIyTsKQuGHLlNBiDgL5hFvQMDcHuajtWlu/dGzzH6UmxiDE1br+nBCMHxfnFiwmfh0WLcjAnu7CR3gLHPvLG27FudFeVQaGXoFfW1uHa9duR+sMi7ProI6dmhysOgdSOkSTNvqNMlb6QfGnfHy3d5+1FvPQ8e/blGE2xmyUM1ChYWubIsuIzUXs+UlT0eDrj0lou4QkkoThtrPn2GuTaa5VeS63VqpzYcQOHoN/Z56vv+rGTemBYTFNx1O/zS/DzxlyYPpmLrL/+wMDzL0FCv/64ICWBvhzV3cPS16HNcCCtrQSdjtaP03NQUFzk3ANDLrsaEd17QHPEebrHSUIaKKBqDPZbJ5aDoL8Ns9k7zRBGkjMKK1QHjJLMjbCXlKrso96hITAFBTl1jrjOXUNMTieN67qTmJkSA6fDRW1JteoIpNmTTz6JnTt34qknn8T0W29Vv3711VcbZd552ufMoGMdPsVkO5q5dopynZtyTiSFoWpVHtjC0dXoCA4dEu8k8R0Nk/01H11c0ouLBSRBX7BgAcaOHatqSjSzWq0YOXIk8vPzkZeXB6OxsWpzS5joArU5gv7888DixUBmpqP1GlPcdRL0sK+2g6mcjJD+VVyB3Xu8nBvnvIuSzRnqXKxBtw7qCeO0S5xT6BMWghm9U7Cp0oantu5G2vJt2MZxuJgxLBxjbr8HxnATLo5pnXi3V6pz8apcfLA5T5HMjR+9r2bQ8/iTlOpsWFIyhl17E3b9/guy/vodkd3TUL5zhzqGxL3ebkdDfT2WPvUIYvr1R/ejpjRK9T0iLlJ9GYUNSwi4B4vWo3dFaaWKfroKpPGlig6YxY89gOje/VSNtqtOwaCLLkdUrz4qhbf13AnHpqGXnC8w7RlJp8ef4mC0nwvKsMNqU5EhVxt+3S3YPbgrHjq4r6o9dzdGif75ezvy5s5FzsIFGHrldVj/3psIS0xW5JXq3YeN7wZjjAWa+rOnZ0N7pj3TabUxu1TVX1NzgaKAbKuWOHIsstNikBtjwvvDeily9n9rdqEqo1h1emiorVX16e5WZ7Vi6dOzYLRYMObO+1QUheUf7sa1Zxoo+6e3p1GDYMuSbNX7nfc973/NRj04C6t6R2ByQpQuMTx+jgT28rXb0G1dNpCeiYiu3RGakIjjE6KREuKov29vUUC9eKu6UkaOPWdkt3iajtTvXdNoYAQ5u7pGqbczY2zxow8gomtXDL7sGoyMDMWE4SkwJbfcxUPL2vEEXnt9Lza3kNb0QqzJLsXCUodDglZdVICVLz2HxFFj0fuk03Bo91iMGdfN4ylYQvfIqu1Inb9a6VawH3rXw4/CSYnRSuG+vRyTbSXozIJ4c2OOU4OAk9c0ObS5ubfNU0Kc2RXOe8nAnum9okFtDn+yfSHoStdo6W78TidvZbWzVe+YW2fAGBGhpsduMHzn6nrEUYjpO8BjaVSgpX3bcyqV81Kze+65R70jPvb447iW7/B77Nlnn8WSJUtwyCGHwLynLLS5NScx7ShEXcvKbG6uFEzVMrHcj6Gjhg4bseYR0MUlvQAwIAl6c/O77bbbwBtvx44d6N69u24YdIHqStDPOgu4+GKAEXQS40WLgM2bvSboltmZ2LylCD8XOh4oDTW1qKmqQOaXn6J853b1u4PunYWMrhaUhBtxeFykioodHhvpFIG7aPUWJJbWwDJ3vjPqzM9RSMsYEYnjj+qN3jDAvs0RcWnO2ksQZ9fCLHyZXYT8Fcuw5VuH2mb84KEoXL8WAy+6DNG9+irl7m3zvoM5PMJZj8465KVPPqLq8GmMHlAkb/mzTzhTvTVxsEAU/9DU7efml2J3lVWRcRodL8PvmonsOBPy77gPIdGxiqAzxV8zCscljh4Lrf5O743ANiutvczqPZe3xynl9mX03Najqq4eH+8ugiaU6Hou8yuPozYitNnoKVuSvb9kO4J+nK+cGr1POUO1ZovtPwj9z71QqRqPn9jDSUIpzthc/Wn4uC4HvPZKOWaW52JJUYUSQFSp+vl5GHvX/QgyGLCuuwXPju6NcIPjJfKTLXnIXZmrnBAVO3dg3D0PIWv+ryo6NvbO+2CwWFCyMR0bP5mtjtd0Kpj26cmYFk2S3p4KvnxpXrchH3+VVGDL/z5H/uoViOzeA7EDByP8qMOxsasFj/Xvhu4W/dGNm9N3ICqrEolle9sN8jlKZyeNGQQksP5uJOdM7/Zk5OxMxmquoinQXrZbWovKZblIL63CPyUVqtMJHVnUKNn6/TfOSDKf/6PHdG1V+IkOIUYbPZnSZ2EJkI4ysQOxd8oW5uCjnEKUFRdj63dfIWXCYco5sfHj91V2XephR2DK8FQM6Ot5L/M5e8va7eixKleJ0NKxPeC8S5xCccw0Y8bZgba2EHQ6rSrXF+Hd7IJGjv6UCRORduzxmBwfpdqy0rRsOrYepQaJu/njc2BfCLomEEftGgqMrnrF0QucmgOW+HgUrF6hvl/5PUHTSgbHRYWjV5hZ1e3T2uu9cF/3n6tA3KpVq1RGLQn4iy++iG+++Rpz536vTt27d29s2bIFkydPVpm4rRm/EwO9TIjZIszYbYux+41Y8wjo4pJeANihCPp5552Hzz//HCUlJaouXa/pAvWaa4BHHnGouHsi6Fu2OJTdtQj6cRcg7KAzwIdrUJARQ4d+5RyObf0fsE87B6bX1uPzjFwUVlnVC0bZti1Nhjz00cexvpsFd/VOwdA9SquuB1EAaUuFDf1ybNh0332or611KthuTTLjuYkDnIdTWIatpZqzA12HyTSaTX/vUKm8WX/+pvoUu9qI66cr4ZtV6xZizkM34NQhx8IQ5KiH6nrYkSq6pln80BHoc8rpKoIS3acfBl5wqYqgjI4KV15xpu4EirGPZ22+FVW7yvF+dmGjqABb48SeeRo2pVqw7qJLMADRSsWfPW6L9yjZs1a/21GTMTUhGl32RAj1zL09++DSeVS1Mg/rK6zO6FDessXYOvfrRkMPfv95pcjODBJPxtTPGWu2o/tPy7DpkzkgXlS4Txo9Dr1OPBWTkqMx8tA050eZzlVv8+y4ChuRiGCL/kwcPRi3doyWdk+xo11l5Sp1NTKtJwZdciX6R1ow5Zi+jdLQf8wrQfo/O7H1s0+UFsGoW+5Sis6a9T75dNhLS52Ck8xAYPT40lRHSqsnM3ePhDnVEWVpD7OuLcDq3DIsKq10ZhCMvft+GMwhyI41YdrBvdAj1LtyDEaSTAU2xOVYEWoIUjWYYcGGRhhQEIkk1h+NqZv27WXNtgWkejXLQpLMRmd/d0/z6AgvWK59z1HfgDVvvIiqvFzndLX2YUfGRWLIId1bjYhqbR2ba0flDy/n/K5k1kBZuQ2f7i5G9t/zsfO3n5QDLnHEGOxetECVtDGz6tJj+iEqytLsNn55Rx7sy3Ox5r/PqPakY26boXQ6NKdd+OgDX3e8rwRd0yKw1dfjw5wiFK5ZhcyvPlVzTxw5Bnz+jYsOV5lTNKYt85nO6Hlz5g/r7Tq2fSHozLSoKbUrp0XZ1s2q9I/W/5wLULwhHfmrljea/viZD6HOXgNjqAOnAWEWHBrr+A4IpPIfLbOG476G7+x77PXXX0ewxYA/fvodc+bMcf6+V8+euHvGjFYf+cyuCPXjloutTYCBj8qle5+RrR3f3N/bUzx3X8d8ID+ni0t6MaAOQ9DT09NVivuJJ56oWis0Zzk5OeA/V+NnL7zwQixbtkzVtHs0V4J+9tnARRc1jqC7EPTiB05DyNQLWyTo1dPOg+Hp5Xh7VwHKt23F+vfZQqmxbSvOQt+vP1U9f5urt3xtR57qFc1a9GXnnofwchvCBw9G38dm4aS0BJyc1FiF01Xh0v16BzoVnJGLVf/uVJEy91pbjk3z6i7etQpzbr4II1MGYXBSU2EwHjvksmsQ0T0NSx9/CKGJSSqdWVOn9YeooJ57kh7O6swSUCSMprVW2/nrPGQv+BMpBx+K7kdORm5iKHYmmJW69ZYvPkVMaCSOOfMqGFY5xAJdxeKY4p9gNiLexH8GmF1Uz93H1J59cOnxz1+br14+62w27Pj5B6VOT2PWQG1VJerq62Ca/SKGR4bijl6eCTpftq9Yuw2RSzag4IVXEdYlVbXpokOn25HHYPKorhjYa296N19kKIriyUIHxYMprgfSGNWp2FqqtChKNm1UkTG2zmMLvUPS4jB2bNdGw1lcUoG5i3ei8stvVEr/kCumYd1bjnZimnUZPwG7F/8Lth8MTXZ0fKCAYpzJs/OhPXuk0zlVtTIfmrDd+nffRMWuHRg/82FFIq48tj/CIr0j5xoOrTko/bXvdWvtknZY7fizuBz2PVomx8ZHIcVsQkVdPSyGIFhc7vn2yArZ3/cP75HCLcXqWcHyDzq3XU1rNzk1JRZ9J3hO9XYfE+tW6QTxZO1dh8t9a11bqLKL6ID8Nr+0kUM7yGBEsNGgStqCw0Nw49SW2w+ypenihTux6933UJKxwdn1RKvVbo9SiH0l6Nrzmyr1n+cWI2/pIpVFoRnfIejSv7SZjCFP683vQbaeZUqvPwikOQj6WzCbk3TdSpqzu6SmDl/mFSN3yUJVMkjrdcIpSkSxdOteoWH+vt9Z5yHzi09UFgoFdidEh2PQHqdGe2bW6ZowM4fqG1CTW9UovV0j6NOmXYuRI0eBQsgZv6/Go486xJYVHjoJOmsFlePKz7qd6MWnJrcS1dv2pv7r/Zyn4/xBr6gt4/flZ4Wge0C3tLQUEyZMUMSbaS1paXsjZO6HP/jgg3jooYc8rlGLBP3qq4FZsxwRdI2gU4zuv/8FFi4Etm51RtD1EHTbzdNQ9/AvmJNTpB6YVJ91vkg21OOT1d9jzJ0zMfCCy1Rq+5XdPAuEsM3KO1kF6qPfnDpZeUu7Hz0Fhz/7Cq7pAYM7sAAAIABJREFUnoiJsZGN5trSi8iBbrFSW1qNhYt3qRrrDbPfRekWR909LTQ+AcOvn65+/rVqM7656DREmMNw0qCjEORWWd2ABiTfPh29whJBRfdam01FBXqFheDIOIdAEEkHFXkPdERU78NAtc9ZV4D6qr0puL8Uliml1cwvPkbhujWqbMEUEYlxw7vglapyVXf+2eFj1SVOvO5eRC1YpX6OSO2mHBSsvUJdPYL2ELHBERYcHN1yZLS92gqxb+miVTlqL7grtw8450KVop0fYUDyK8/gvJQ4TE1svv3LNeu2oay0FFvOvxR9Yrqp/dL9+BNRd9zhuPmgXs50R2Jl21yC2oLGImramrVHRLV6SwmWby1SitQ7fvkROf/85YyMnT82DQlpjWvAqFr81LpdSPjsF6Ve3P/sC7Dp070RAs4lcfgolSZOgbWQ2FhFzmOMxmYj6PxMe2QP8Lpa67s/i8qRaa3GmtdegL2iHGNun4luURacfoy+1mrN3XeuERb3Y9rTQdXSc8JdZZxrvrysCta6emi5H0xzZlkUSwFYChFuCAaj6mxFyRZaFA1sz3XV+xxs7Tg6L7mGdEr8UlSm2moyemwICVHRYFqfU85AwojROHd4NyTpFDxT9chZFR4vT0FJdn1oL3N1Iu6d91xV+qVZSEwMRt50h2qLdfXwlsv72Lrwrb+2oPJ/36nni+a81Do8tIdDYl8IOrMKKpftVjXkBfZafJNf4sws0HBhFxhGhZsr6WHP9PK6enS3mJxp3a7rTGXrkF5RjlZTLt1ADuRe8JagayJgfHfgO4Srfg01BwrXr1FlU55s8KVXISqtp9IoYZYRrb2EA/VgTId8TXZlk4wICsPN4vs6AEbPVanK2GSUb8jDdedf7RTWTElJATkB35WoYdGSuWsY6BmfvxzjHojYtGkTysvLEBERieTkZMTEeNdOz586//gLxhyHEHS31aA43JQpU5Tgw48//ojDD3e01mjO9jmC3hxBf+EF4N9/WyTo7Eo+bNj/nENiirv19ntQds8n+DqvREW3NNVyHsTI+bLybTjrjyXqM4/264q0ZlI6Wa9LQkL7686b1MOYdUajbr7D2QPVFYvmaq94DFUcqfZ7oIziPL8ty1JqoqtfeV61xdKM7aQ4jx0JZmyu2I3/nXCE+lOfuDSM6zZMpXVrtnr3Rox56x2Mro7Epo9no3hTuqq/7R4dCSq5a2aIMCF0iH/2QnVvn8Mxs36MugSLH3fUn4+/9xH1JXL95AGYvjMHxTV1mD2ij/rbxJtn4pSRx2HNG1TCb1CEhv2z1731mhICYm3i6EO6Y1wVUJPvmZDyPO31JURV5veW7YCtoaEJQederqmqxM5BqahOisRj/bohuYXUfeoy0H6+4nwULV+GMJMFox59Ct2OnYJXB/dQbWU009SgPe15vpTz5fxAmiZ2xGvS2VRdVoqxd9yLuFALLjiiTxOl/eKaWtyUvgPW73+G8cNv0OeEU53REm3cmrgiFe2ToqNwanLrKs3t1XZRI9Dc+yyoZoq/KTIKw6fdjO49YnDaGP3aIp7WzbVTgKe/M7Xf1C2i3V7G3cfk3jZod3WNaptEJyT/kZix93fOP3/DWpCnSjp6Tj1ZnYbtNiNSuiHEbFIv3Ox/rF5UR/lf33u995hWkrKqvArLyqqwYc67KN2cgaTRY5G33JFxwz73pv59cOvkgTC6dSto7jqenr/O740oM5hN0x6maZHw2tQYoDAsM+aoU1O41uGQpZFk2889AdNH99BV/nH37xsQvzUfq156BsnjJqDHlKmYREdOuEWVt7DM5UDavhB07V5mC/tPc4uUdonm1NTGrgmmXpKa0KSN2F/F5ciocjh1+DbBd4XmSsLa08HvDUFXjn72Aa+uw9/FFdhUZUPGp3NQtGG9miez0epsVofzHsDGgq1YmZ2OhPAYTB0zVTlxU0LMOD5x73sTHZdho5P855nY0OAci3ubYm3dV65cgVdffU39r0pvDzMpsWDamD7DYak1qYy8wan9VHBv5cqVeOSRR1oUjGtvR11b7sdKdova0zaN53FN/+/Vqxfuvvtur0/fEbKxvJ50Kx8Qgu4CkN1ux8knn6z6oX/55ZcqvX1fTBeongg6heNefFEHQQ/GsGF7a2mt6/5A5YNvYvu0WerLdvsP32L3koXoctAhyiu+eNdq9HnuP0gcMVqXWjHTXF/ckaciqumz31aiL4lJSfjvoLQmKc0tpbocaIEURizmrszCTls1ljzxEIKCgp2ib/H9eqL6jhtRZTGouvoPxzhq6eOGDEP95m1IiUxCiNGsnBkltjKc/88aHJTToIRz+KI28obpSElKbkJG/DU9RyOK7Fe6paoaIcFBqj0W03vXvf26mruW8n/jKUOwstKGZ7ftViqsVOie8u6nODqqP7Z+8L5KW2QGwY5f5qlas94nnY6gSQfhyom9laOnpSjigXbSaPcr2+S8sXaXImVM3deMUQu2jSuOCUFx9whc0S0Bwz1oMbje9xpBZ9s+klzasW9/hOQx453q59rx7qqvrudpjxfV0iU5eG9ngbPVIh0ydMxEGIJx2dSBCHIjHPVKoXwrcpYvxZ9XXoyjL5+OXT/ORbI5GgnhDiJujoyCvbwM42c8hLjYcJw3prvKGmgupZefaY9aM0VGl+fi3+IKpFfanKmZIdExGHnzHeg1qgtO6uVdqyFP3wcUGPt/9t4DvMny/R4/bdqmTffegw46oS1Q9p7KHiJTEDeoHxW3KDIUEGW7RQWUqaACoiJ7iOyyW0b3btqmu+lI/9f9hDekafJmNAl+/z/u6/pc8mne+bzrOfd9n3M08Y3ZeN0HgKLpu8VpElDV/IykmiWwKKjjiDRLaFwurlrWYnV6T5BwGql0kzYH2XIqC+JZe9pBGKpfxcSQ76qx11EWcztaWok7tVJmqUVJB5+uPVkHCXVTuc9/E03h/vi8YzudD4GP/kC+8qTPcj+CvteVaRIGtjLq7lFxuMQEd0wV856DS2SUztaDay5kwCK9Ql45vCsIxmm23I+KqSEAnZvLbM0vRa1MBmlZKfvmld64qtCooW+fZ2JnTFSxmqXk9i9FZSyJLb58CUEDh8LZVohHfDQnL0kkzDbW3exAVR+ArmwZyBwO6urZM0Lvf+WQNcuQnH8DKcVpELq6oVFSjqfGvICYx54EJ66rvLy56Y/qnjXWxp5XxVrZQTZgAguN7/FDhw5i+/YdeOaZZ9C5c2dGV+AUyJU7IZRpk9OmTWMOUEFBgejatVurQ1AG+ffjXaDPPqmzoLGwBo0ldYwaQ+9OioyMDKSl3WFjoxyUxNA37kcBQ99jNPfyOmFJPQ7q/ywHvbGxEeSHvmfPHib6MHnyZD1Ou+WiOg2qJoD+6afAP//QnS9XdgfAWtxHzICo6zgmEkf5WWWAXnXyCOpWf4MtU+RZq+S1nzBwTQrLBFKvhjmizsaScYc/iQyEQIfWqlOSKnyZXUSaOczj8ulAT9baqBp83s+0rCjBE5ZC8whjUfbz52u5KCyvZIqyzu3CFNyoptA8WC+49xK5sGoZiI867s/j+OWhPq3Oa/qlO4jJrkXZH38i98RRkAeqZ3A71g6tHP/VLCipM2cVVmJ/SUULB6XytNtI+fF7dgo08a6xscRbI2NBwOzV1GzW2keVNLLQIjV/ix92sY4MEsqjyhJFzDPP4073MHyTGMbuJWonJ7VTdUE2G0R1MHdQhndzZjGqqqtZ1ZQLApcB78+DT5grnm+n2ySZA+gkmvf7o/Kk3Yif98E1IrLVBLZBXAvpHbm3vGqYG8hQ1SPnbB5+LZIgfe+vKLog76Ch697J1QG9B6gHHHNTspCZm4ddg3soTsHK2gZ9w7rDR3ivEhL+0TJUBzngk2g5BUiTHyr9dj/slpTVmKll+8yH8xXn02nhEsT3CsRgpY4YQ+9RTVUX5e39V2zXGsvqkHm1COTmQABEWi5hQmAcDSRy8gymU6AcJPiUf+okExHj7h8OfHHL/deEsHS5llyVm2xJfyqUa1Uwi83w9sxi7Pq2jdh5bT+mXLzJKsELwlvqNfDtQ+4iUdjK/5dbx9z0L26/BLhO3izG1apa1hFh4+CIutISVinmhPH2pR7F4D8PwsHNHd930C0pselmPsqviuEosGS+6WRZSUrnnDMCCYZSospcGhy6AnQCGwTQmusaWScYdZSQHWNNfh4oIctF+LiJuP3LTwqrNfo7PQPljU1wtbJiVCqKy5+vYZ0n7YaPZtzrKUqt3eruF7soN9DYmDN0BejKFloNsmamY8I9I9RFVZpxB0fTz8LKUgCr6PbIOnMCljY2iJz0GG788C2efWM1YroNVKtPcj/oXqpjzEdHU12WxKL//vtvkM1acHAwlHn0y5cvx5tvvolBgwbh5NETGBHZnxV7/P38kJuXh/j4eMwhhyY1cT8EFA251zR942bPng3Z3e4J5e0aAtDvxxzBkLEw5zo6YUk9Duj/JECnG2zq1KnYvn07vv76azz99NN6nHLrRXUaVALoJC7xxBPApEnA9OkAVdANAOjl+46i/vuvsXXKW6jKzVGIOtFEvNHSAhfb2cHZ2grPB3kphDp0OUFq8cqslcLf1katRzRtg01EqN2lQd7ipBrmrJwRKP0xJR8leTmsNZvrIKBjsuuRB+nsHXgu0BO7SPyl/h43e3vPeDRUy/mCPRYvh6XAiomf+JXWQ/DHEcZLJC4u2TLN9HNvkeD4r75UiEu3M7cUZVIpUx8ngE3jQSCNwJpPUncEPzwKHcLcMSDej517vrQe3+eIWbWRi7offoLV/uMKCgC1cXmuWw5HX2dmTUXB1+ZLHtiiBN3EaHS5J3VZhhO1oUpIaWE+Ln+xVrGatasrZKvn4xFf91aCh5q2zQF0WVMTtnRqzxYbt/8E7L19WwF00kGoI19pNWFu0TCqaF+9kMf8z8kajrofiBNIKu7TInzg3kF99ZhUmf+VVGHP+IcUSRl/ojX06os7q1Yy7QZJXSVGn5G3xHKCk3y2K1RlIM6eOe2lqCJ2O0XMbCc5bjEdb8QjUyDrloAneocym8m2hi6COWQ3RcnK+y0KRMd69FIerlfV4fzHH6KxtoZxjZPXfsyGgVqTaayUo8PTz7MqIiUqKei70tHBDl2cW9I1qCpG9xxVWUirwtLRBsIgx1ZdGm0db2OtTwmlsoxybC+QP68k/si+G117IKD/YGxb8gryve3Rb9UXOnWeqR5X7bUS9m5UF+SDTH7I5gyOb/9zQRlKystxYeXSFrsnekMNmrD31lGM/f0IOrk4YG6IbknMKmkDZBfFvDoU9A4QRrrCygyAtGxOLwiu34HTkQJW1AgIeBWurnJaGxf0vqq7VgL6Lxd/iyuQLa1vRYuKemo2UtbLxTJDHh4F76TurS6dsro5CYgSTWCMlwsTVNUU9yPBrwtAV/2OMYoQoLCppG7My9J8HN7+Nfs7dZSRJS055Xh36Yq8f46jR2wfxFY3q6VAkWge0R7uBw+ftAbqUujZvGclq+05JFxAmlKffPIJHB0d1WqqUDWZ2rt9HD3RPSAeIhu5gn1ERARee+01tbv4LyQqtJ073/xOubVdeTsrVqyAg4Oe9FYSzuvsA+owehDyEdAJS+oxWP8nAfrcuXOxatUqxjd/6qmnWp3ukCFDmPCBrqHToFISYMkS9QD95EkgM5Ongm6BDh3kyqLUWlm+5yjqt6zHtilvIf/kMWQd/AsuEVGInPIYOod5ICbGk4n88Clu63pu6pbj490yjiKpVZrhoSNF+e9vF0CcegM3t//IPEuFLq6ounQQEVMzcDb8a3waHYyyxkbsKpQwEELxY0K43PAXwLTk2+yjQV0DNLYee04gb9dOZqlF1lqqrW20zn9N4IImHEXnCrCjoLSFZzV5vecc/ptNtDmg9vjAcDi5tLSC+rWwDDsLy9h4kNhg8pJFCHD2AbWxBTz7LIKnTGWcsqm+8gkmtYpVn5OL66gLc9vtNZbUova2BBtyxZCk30bKD9+zjgDGse0Uj4aXZ+F/wd689lHK58EBdHav3OXoTzp1GdYi+1YAXZnjqToW5k7mULv9iSv5rFrG/M/FxXL/c0tLPJsYxOwC1QV5vy9Jy2ftncdelWf+ycmAdAhOvPmSYhXqMqFK2WcxwYq/UbJOecKrvH0CJARMzBWkj3HkRiHTpKD3AXVAtBs+Bl5duiLb3QbL+7Y3ygRRGw+dO1/ltkhzjYHqfuqzK5k2Q21Tk4L6QS3rxEGmIJstqpKpBoE3qUTC7h2iSNhZWmK8twuEWoSQSETTNtpNqzXZ/RgP6vr56mIW23X2gb+Q988x9u+gQcPg26svTgcKYGFtA4HAkulUUKJan1CuQKp9L5IfuplUnDnqDb2iSQS2Kjeb6Ykoh5WdCB5L5iPf0YJZEM4J8lLbNadpDMjWkpKj2sIcKt66AHSiQVFHiXJwQFRVWLR5+TtofHUhrAXWbHH6lpKIIlEDqLuO3D2U1yGHlKChw0EOCFwXgbpxoY4Cc+sR6ALQld15OEV75a4Ch65dkOzejDPLFrDT4uZNyucYJwWmSW3gokG3gZL3TN3e27y6LHW3y+RJRC1x8eJFXL9+nRXvqEqelZWFzz77jFnr2YbxU3rsbO3gaCVCQ1MjZo2ehkVz31O7t/8Ldmt8FEZlgL5o0SIcP368RadBTU0Nowz37tULLq7aOynvh+ODtvvgfv6uE5bU4wD/TwL0/v374+hReXVAXRw+fBi0jK6h06BqA+hZWXLrNbUt7vcAOmXFKw+cROWPX+OXae8gY99u5tNMIkg0qZ49PBrWJvZe5gMldPzmaufj+LYkcpS2exfCxjwCj/hE+NefQI3/LvjG7MRg93vqubOupKOxuVkBuuhYCXRQfB4TjDnXMyE+cQKVy9eg9/hZ8OvdrwX3krsf7pcAlqb7sVFSh4wrRdhXXN5CcZU8q3OPHpL7W7/yFpp8XPHG0KhWIKWkvhGL7+ShpKGRialt79GR7YrGs8ciuSf2uugguChVBv5LdnuUMCrPqcS2glKILyfjzq8/MWBmZW+PmvgIVLZzx6qoINjeVZXV9lxTomNPkbxtnQPo3IRE1a6wuaEJ1RfUK9pa2Ahgn2i+boKq0/nMyzqtVorznyxhCYWOc15idoH94/00CtZRV8yMK+msO2YzJa8ADNu4Aw30sZ39uPxeGPcoeixYiok+bi06EepulYFah9WFuTlm1FGzJTUfVcSbXPcJmhsbQCrMZK/2ZN8w2HuItF16nX+vuVSs0VNceSP3S82eOwZq69x+LQ8l5RU4v2IJ+7Nfz74KcKp8rKfFKXBqtka0p1w4kguyqON4xqM8neFpIwctmsLc972uF63oSjG23SpgiRtK4HBBXtelw3uh3sGa0cLIpaCbGnqXtv1w/uqaljOXgCazVbssZs9zVVMTs5MrS73OOquUw23MKFSMG8hsWEmlfIDSt1LbudLvfM++6vqmfhdoA+ia3tOU1G1SocPQsVt+vwJXR4xR2LKSDSvZr9UUtrTY5c7TPa4jwsdPQi8XB0Taa/aQvx9OD9oAuurYMO65tAFXvvpUcb5Z8cEIfGEO9k0ezRwO6FtAQRTAoe7OIB9525pG1N1Q302mej8QWLeNdGPuOKYMXZOpXEs7HQuB0F9++QUNDQ34+ItVbD6rreBEBT3in1M8OXEGVr/aUtdD+RztSTBPR/FJU46Num0ru1HQ++PChfOIj0+AlZX8OikD9E8+/hjnzp/Htm3b2G/vvvsufv/9d1Cig+KjZcvgHuQNWXUDK+qoC5sgJ9j4mjdhY+4x1Wd/OmFJPTb4fxKg63F+Oi2q06AqA3Tiu0+bdq/F/cQJIDtbJ4BO/N/CY/+geeu32DLkSVz+Ut7O2+Wt+WhwFuGNh/k9THU6IR0WUpeN5lYzR5s7VbuLz+QzUEY2OawtfdI0uEbGIN7yFGyCf0WPxJatm1xldEuXaMga6kEAlryduckJqdnnXL3CPkJDkh7GyLfk4JTzd1UelvtlJ6b2pZpbhdRbYhwma6m7lmq0XPDQ4RBfSWaWKDELFkEW7oJ5Uep9fSlr/vz1TLb546+/yHjoEw6dhqVAXjGlyqly8F1/cyVouOOh1tLUogocK6tiCYmcowdB3FqX9pEo9BfhkWhfJDrpDs5IGOfNmzls8xxA5xI5rQB6czOqz6rvJmBt3kneRqnaanskOT44U+6/O+EkTYaox55AJ0cRenQN4OU+bskvwR/F5axVkbpLqL2dkh1/PjaB7XrqhZvsXqBEB4EYLvh46LpUHrSdlz6/lyYX4se0IpTeuIZbP21RCJzFO9qhT69gpsRrrKCWUGlqmcJuR9N2zfEu5DsnssfZdrMAhTk5Co6tS0R7SG7dbLGa49olqLATYGvXGLRzDUAnv1jGq6SgTiLSOCGuqbudUCcVf2pnJQ6yueNKZQ3rBiKLuN6uDhjt6aJ4/lJP5eCv/LIW1XM6PqIzZQ/rjM8SQ7V2CGg7Hz7Qai7xQOqaoOeSIv+uan/RuTNI33dPaJYAZ0q/KDRbWrQSvtR2jopnP7eqlT0V37rUwWPtpft7WNfjoOW0cdBJ1JKSVWSLdq1K7kIS52CHE5IqlIpLkLzuE9h5eDE+uXuXJJT9bxpO9u+HHkGJbFl7Xz8GMpQB+unsS6huqEWvoE7wCItk6v/0rk3Q8q0xN0DTBtCVQSzXUUBzhstfrGHnfiH3Guq6xqH30lXsfUffNWqQ/DgysEWyjo/ypOlamlpUVl23J1V4RSIRuneX0xaoVX3p0pb0D2rXzmwsxB+nDuj0/XZ3d0dpqTw5MWHseGx4+1ONHYb/hc4qdddDVV/q6NEj2LJlK3r27ImZM2eyVZQB+to1a3Dtdgq+WienglBQoqKwsJD9+5FHJmDEk49QfhzU3aYuzC0src875X4sqxOW1OPAHgB0bbyBpibgzTcBiQSglwBx0DmA/uyzwGefAa0A+lgIR8xUEokDOnTYwy4LvXAuHD2BgF9/wIf17qjMlrfsEU+wyUeEV3q2rH7ocS31WpTaiutuqxfHatHaW14O/PGH/JyNGFTFz71QyJRUc48dQs6Rgwq/51EuZ1Hl+YtizLjdcgCdRHLqykrhEib3RP4yNhj2AgHev5WLW+UV2Jokn6SOHvUkQsdMYB/yrir8S1rvvwLSyfv69B0xU22/sXE9KjLT2XmRQFpdhQQ3HBvR8bPPMMTTGY/5abaJK5Q24LXUbKbMSyDP0toaj/q4YZRX6/YuXrs9M07OiV9Wc6EQh8TlSK+R4srXn7KERMKLr8LW2QVPPxwNoQFZ+p0FpUxsjRIVTdI6xi98zM8dQ9WIjKlakCjf5uYQhaHKHbWaN8masSFPrFDuJ0/rmFnPoIezPTr3CeZtO65uasJz1+QJGi7K0+9gz9ih7P9SgoJaF9dF32tvp7+TMFuthqoJtTtTBdlckfNPDnYVlKHwzClk/LkXEROnwC06DuO9XOHfww/ECzdmEEivTy/X2uZ7PykxZCtGSYvCtFuM+sHeC05OqK+4N2FqtrGG1TfL0WxhgZTN3+PccrnIoqe9GwMfCm7lxKlwi47FdF83rfQpRnVKoEqRccec7/oVSRtYYo26pLiY5e+Bge5ODFxdOZbJOkw4pw7S5Si+fBEdZr+E21388VWcbgJpfMdA1p8ksKQuzDUZ5bqbpDIZq543NDe3Skr4rV6OAjebVgk3fZ4P0h+oS9WtYsptl2xYCZQZO7QBdJqr5OdXYE9x62tTmZGO65vWw7/vAJaMkjk54Eq4E3b1SMDo8L5Mj4WSWg1VVajOz1Mc+m83DiBk+kxk7P0V/m7+GPrtFnT1dsZ4iZyKqCmoxd1c4nl0DHKAvh42Nuppm9xcjjrHqprkavbJ61aww6+ztsCuc7sZ3Yks5+gbECC0wRhvF0TZt6TK0fKUrNZULdU0HqbsSCTbUY57Tq5N6enpWLlS7szy+eefQyAQIDU1BStXrmpxeLtvHER8UiJO0Nxch1Dm1o8dOxZbPlwP6nbVFOamAepwCgxbNORXKxbdsWMHDh48CKFQiLVkB60C0L/84gtkVuQj4eHuGB7ZD47Ce5VwEuAeNuoh2MV5gubq1DavcSyIEmvG74QuY3G/lnkA0E0w8ryDSgB99myAlA+XLQNmzWoJ0D//HDh+XKWCrhmg0wfx7xMn0HHPVszLrGEZzYD+g+DfdyBiOnhjcIR5Wmp5W3upckh8O0qzUjaNHm4SyDNScPsuqG9gbd1Z+/ch/9+TiHt6Dhx9/THa6zTKnX/TCNBVD4OrinKtzTd3bMHljxZjbMwQdJ77DhycnDDJxw3Wli3FLKhNy66jp1mFsNQNIVXJfr1ThKK6epz7aBGEzq5MqbdZ1oSDd/5ByNy5iJgwGW+H+iLGofVHVXmbFytqsKuwFFJZMwa4yX3g1Qm78AllUZVEE9/ZSLeAYjMNBdWoTi/HloISlOfm4Or6L+AWE8eEwaJdRBgy0LCEFU1uP0kvQMpdAb12dkK80c6nhQc6dxA1V8TsI6QuzGEvw10LTp2a8/J18A9E7JPPoZ+3M+J7yZXX+UKZe0/LNdbWYlv3OLYKAXR1CQpSRa4+J8+YqwtzgVNKUtw+lcM8vpnuwvEjCt2FJ4M9mRiNqYJPKJDbp7nGQfUcq87kY2OOGGI1Lc7csjckWYjdvUux6qHnn0DeXYE4+uND7fvCzc4Zfr36IXCQPGFDXUfawtRtzar735JXwq6/cpDd5Pq4dswm6PypbJBbCXVXUJdF59fnwcrWDlJrS/h08eFNXmo7V+53Xrs1SlrQd1HlO6LrtnVZjvO9J+FPOlcubm77EWU3byj+v/NXKxDj44QXgnXX2lHdP98cgO9Yya6KqojGDD6ALlfYL8IJcQXTpyBXk+qCfGYlSuU9zlKQ0yKoEVriWqAdso8cQPMPuxDQYMOq63R2xnVaAAAgAElEQVTdOOX7nPICnKlMx+jfDuDfRe+gSSrFgLVfo5OTCC8HeIGsGDWFOTj5yvvWBtBJryD7dsldp4cy1k3Ahd/i93Ex7xoTnPW3E2JZ+wDeijLft1DTeFCbu6ijaRK5109kI7msCraWFjj53TcouOtMQ8dCHGqq+J48eRKbNt1zsiirrcAfN+UUWLp3dAnStCJtKwoC6Du++FFj1ZiWEThYwy5W+ztUl30ba5na1FI0SaSKzVGb/59//sn+P1XLhba2LSropNxea98Erw6BEAps0Nk/DgHO3rAXOeDzjV/CJsSJOTpREYVEjDVpFv1XOwqMNa76bOcBQNdntHRclndQCZiTWjv9V7WCTsruX3wBHDsG5OQotbhrBuhUrdt79h90+nULFuTVMWBOAJ3iqaGREJlRlIlPJEYBTIiXs3q1XCDPCMEpdtOmsmrrcaC0Qsm7fC6c3T3wsP8/kNjtaQXQ9xVLQErfyjHZ1w0jPOUV4qbmZjx+l4ub+dfv6OwXi1CRPOHR19UB4aLW3DJzt3OrG0K6J75NL0SdWIxLn68CKa5SZYhalSnLP+LQKdg4Ohrcyqhun3ygxJxCOJQhLyytxe5iiUIwMeJupW98pA8CYg3/8JMVHU106b/R9naw0jCxVv2wKY+XOey2OLoBWebROBC4IossjvIxvWMA3MK1C7aoAnQ6j7yTx2Dj5IywxE5YHhkIkZoqNJ8egTnOnz27VfW4ejYPR8vuVUgTXngFbp5emBrmDbIFM2XwUT5ov/ej1Z1aTisvFGJjXglKrlzC7V9aetfScaWX5eBCZSYmHjkLW0tLxiU98fZcZCi1Q8f7RCHWW95tFDV1JpzD26OdnQ3j2/IJkZrbcpEoOkTVUQ1KwJI42L/ncpk9FusyyspAt3mLQTLkEb6OGNItWOPzre99Q+BMUwXV1MKJ9F6uul6CTWSRVVuLc3ctJ0k8lWhdIcPHoKlZhqyR3TA9wAND2mg7qFyh1HWciIfNuiuMKCTLB9C5pIky/YeONfaJZ+EQECQXT2xuRvBDI5mi//BQT2x2aMLtGiksZc0onPs2PMobIRAKYSmwhM/TT+JM6S349BvIaD/KESoSYmG4P68FpTkT2HRsHEAXNLihIbeKJZPpGlh52jHBNuqG++q8vHtKWfgu9onnUJoQhkIXazhbCXRyBeLrrOO7PwigG5uPTsnjs0cy8G95tYIGqXwMZIVGlmhktbx3717FTzfF6TiXe5X9f10BOi0bHR2N2pQUJI4di107d8mpbzxxv5K2mg6JNGy4cxaLxfjjjz9Y8oKCNLmmTJnSCqBbBzjg9Y/mYd26dWw5C1igfWR7pKSktNgNX+JGLixN7wPzdVvp+q4y93IPALoJRpx3UCkDR0Ccq6Art7jT37/8EiDButxcufUaE4lTD9ApE1V0Og+Hrp5Gp5+3YlGRFKGjxsMzsTNrQw7pGWDS7Lzq0PHykNu7wsrVFiCAvmqVPDlhhFCeEKRW1+GkpAq3f96KkutXWUbc3dkZAwOPQmK1rxVAL21oxMLbeaD/UlC71tKIgBZVUWX+saCpGb3z6zHA0R7eGoSR7sfEW3kYqZ0s858c7C6SoOj8GaT//hubaMikUmQd3o+j9hUY+MX36O7iwD6wxgq+SpG5rNa4atGZ8mqmXM5ZixEwc3D3wNP9IkAgwdRBFAPy1FUX5uCdUqKsvLqeeTtTcBX02Cdnw8E/AC+MiAFdE22hDqDTOhO8XZnYooOKDgG3Pd7zD3AEtbWaOqi1+FRyHqN5pG77AZKbKUzB3sfBHuOifJjQjymDr7WZTVzM6G7BnSfRD0qvirG1oFTxbhA6uzAvdIpfrx9ATUMt8wAftmE7ero44B9JFf5dNI9pWdh6eKJOXAxfRy8MCO3G1nGPiUP4I1PYvylZM8LDmflgqwtLWwFE8cZ752i7fnwAnYDDidQixj++8uVa1FdWsgo6JRqGRvtAGKLe4UDbPtX9Tl1u1P6t9n1g4ueBlOTTbpdgf0mFQkCWOw6qApNoZIGLNbPDe62dD6N2tSUoMUbCYPq2NRvbbooPoNO1r8uvYokqaWkJkj+VtziTRotP914KUEpWq16du+LRaF84tXfD/25ksk6yU/PfRN6+vXC1dYIoOgrdv5FTRbig58bZWgBXKwGbJ3RytgcJt9alyt/HqkFaGFTAMFcQQA/3/gKyDKtWgJPmaDJpI9bfKkBFRhpubPqWHRaXiLvlI8S8zu3gYiXQSWSVCQhfFWuslmo6Z2PfD7QfOpYTJzPZN0G5g8RaaIsGaR0mTJiAoUOH4qeffsKBAwfYoZG3+d+3T2Lb7p8QFBSETHJX0jG6deuGd8+cwXdjxzKROT59FtqkKVv7dTxkxWLKiZXffvsN+/a11G8KDw9n1nHPUbERwMsvv8wSEpyuhHKX5eOPP47vv2/5jCiLz6k7tv9CoUvfMTPF8g8AuglGVStAJ4E4AuoffSRvcZ8yBZg6VQ7c1QH0+WMgHPUEREljWPaTgjjoxGnJSi7AvzfOIX77FnxYUq8Qw5oV6g1HM/tP82VLFe2NxcUAcX6MANBVq7YcZ+r6918xLn7XdxbCQWiDoZGHIGnY3wqg0zhWNTaxSShFb1dHtRXBf8qqkFEnZZYpbtJmXv6MuT+2qrcvfVyTT2YzsRuq+hec/gfkYyzy8UVFZRlSOwWyVVZGtRR0aetjwARzzhVqzDDbJ/mYPFlEk8PyK8X4MZ8miDJcJf65WIykt9+Hq6MdHhtmHFstbWNFbfaaRFCYH3a8h8lUWylpV3Ymj40BRXVeLq6u/5z9mxIVWYlBWNdZtzZ/dQDdxtIC32rh5pJwJVlYqQtzecFT9n9vsQRF9Y3M27qupBhJb72PQFshRsT7mYT3qny+9BzWJBfz3iq2XNJS2w1lpN+JUyjOrmCiaQX/nkTm/n1MOK/k6iWklWZBNmMC0vb8gl5LV8I9KBgvBHljZUYBznw4Hzd3bIbIywcEWipSUvDK3FW4tGo5LK1tYOPsDFsXN6bPQZU1UnbXVEm370JUJ/NURjQB9E3RIaAkFtOpqK3HhRVLYGWn5HCQ4GdU6ye+94Gpu4soaX4us5R1ClzfuB6Vd/VI6JYSeXkj4NVXEBLjian+Hq0oW4bedvQers+oAIlMUZD2BCVw+cLYba2aADrnOEPUrYuVNYrkJR2be2xHhE+YdA+gDx8Nry7dMLWjPzzC3XCpsobRnK5v/IZ5flMEDhqGfis/Rz83R8zwc9d43/Mq+pvZ//nKpdEIkn4CQbNm7j91F0hupiJ1m7zVmzSNKJ4fFgXSFNIntNkNqtuWKbQJSAviyM0iRmsg21HqMCRtGh9ZPX5fvQK9evXCjBkzWlSFR4wbiSnzn8aGDRswePBgBAbK50+6hCpA1+bqYG4RVU3n0FQuBTmgcPH888+jsVH+/Hp5eaG8vBxSqRQkhFdSUoKOHTuClqHgEiscQB83bhzWr18PNze3FrvTRoUzRyFDl2t4v5d5ANBNcAW0Dip5rRsBoEszynEnU4JLqecRt2UzlkkaEPfUbLj7B2JGnL/Jq0SqQ8d5raobUmsfexBIh1gMrFhhFICuXLEn1wYSxJLV1+PssoWKjwoxhsZ3OgBJ5SG1AN2Qy8/r+058e5qEmpBXyHfMVCX790wOzlfU4NZPW1F6Q95JYGXvgEpbS6QFifBBhD98hfp5+uoyTnxWU6ZoWVM9JlLmvXq5AMeUuii4yYWzhwgz++oGTHU5V75liN9Kbd6awpQfYnomUnIlTME+++BfrCWdi5i35yEl2rOVd7um4zQUoKuqvypvn8RfSCjPlMGpEBNAL6yuw9mPFsLW3YNZT0aIhBiSFAgrd37tBWMcX+1VsQKkqH0neouMWqnlO2bG+ztXgCuVtThbUa3g5VPVkIB6cv4NhH31GZxD5bZ6U33dEOtgh3m3cnH6g/cYT9vO0xsTDvzDfg8ukkK87gtUZmYodkvCUVYiETo7iRDvqJ5TbOqWbuUx0ATQv/P2hjSjgumV5NfWsQQE53BAx96jdzADlcYKPhtS5uzA6bMYa4dK2+HoTvQnVW9v0TsvoS6qHdZGB8FVyTLTWIdBgASWYAkZSljVXi3R2Opv7C4rdQDd2a436BtFsZ+0KerqcXbpAsjugg/6e9LbC9jf2D1+t8V9RucguAQ7o7yhES/cyELOscM48uJTbBmyXh342Xc6ecbzUQDNJRRHLdrXT82Af/O7sLK6ZzmrfM1JVHFTXgkkqTeQuv1HJpYX0H8wo/XF9w42SMCL3snMe5xke5oBujdIjE7jN9LN1qjzV6K00LfxYEkFMuvqWYKFKArxz7+CGDsbbHjnDURGRuKVV15pAdD7zx6Jp599xqBHQhWg00bIYYbGQl20EFM2aI/GWUm142f16tW4cUOuV5EQH4/kS5da7KhLly54moqOADgf80mTJuHIkSMKBXd1R8anW2TqxKVxRsr0W9GKJfU8hAcq7tpU3GlA+QD6V18BR44AeXly6zVqcVdTQY8N28U+eGQjk34nGdE//IiPKxuR+PIb8HRzw9RuwUatAuhyH5D/MdnKqAtqnaKKEQPon3wiF8hrQ3CTHuJI7iwog/SueEdNfp7CPoiyvmJHKzwd9QckksNGA+h02Bw/R90pmHMSqrp/ql4eT85jLd7XvvsS1fn56PrOAoSIhBja3hu2Ya0V2NtwGVqsysu9NkO1kDL1h67k42ZNnWIyShMLmmAIfe3xbI9QY52q1u2QSqlG1VYLMM6lpU3b2klVD4JLDJwrr8blqtpWE/KIJR/iToB9mwC6tYUFvuvAr27NuimId6vB61SU4MnEYkwVlLhsKJTbaxWXluHi6o8UFmsxDrYY2DvEqBZrms5DtRKhuhz5g5OqvamTeRz1g/ZPNpQ1TTLFvRH12Cym5n4k7TR67d0H4ia/E+qLaAc7lNQ34uWULJxa8Dbu/LIDjkEhGLPnIDsNC1kzJO9+CIecYsYzbJI1IXDdSpSLBFgtdGYibOrClNZaqvvTBNC/sXcDJfNIRK5CUoaLaz6GR8cEhI2diJ7+LujSTfcqmS73MBMlu1jEQIm6MJUuA3fdqRpaU5DHOkm4IN65zaY1TKlf1SpSl3MyZBnl+1Dd+vQsGCsxogrQ/YSvwlYSpejwojFprK7G+RVLIHRxgZRcdYiHPusZXPv+a/bvhP+9zn57rkc72Pg6sHVnXElHVU42fh3Rny3j0j4KI3/6Ha8Ee7NWdr6ou10mB6lqwlw2hHQOKQdegK/oRRyvsGAdJBThdkL0cXNk+JnmVFvyS1lnze1dO9Bu5FimZj/R1w2+PfwNufRq1+HzJDcmWFWu1rKkba0UZ5a8D6fgdszpJ8nZHj8snM+0Zd566y3MmzcPVfXVOHznNL7bvAGkQG5IqAPofFV0lqy7j8UdmlPT/clZMnLnvGLFCty8KbfhHDVqFIKDg/Hpp58qhoSzXWO0rUQvpmdAwVnwaRo7XgFNwd3EJXmy/T8cDwC6CS6+1kHlADqBVOKgU3s7tblTFurrr4HDh4H8fF6AHiH6gU0y6EPjKb6F8PWbsLpehq7zFsLXzg6PDInQiWdqzNPnq5wpXrgE0D/+WN7e34bgsnwsEy5tQE1hAarzcyGwscGtn7exLUctWwb7cFdMFG41OkDn49uboj1L16Eiz9u/ruaxD+/F1cthYWmJhP+9hmh7W/SL8zUp/1cnioOuJ2LAcmSd81tKAQqqSQxpMew8vRD3tLz1ioDBs4nalcsN2K3aVbQpeZsCqHDcb6JskNo8cWs5lWE6yKBVy1HjI8KaaN3GQV0FnTiVn0RpBzB8CQpT8Au5i0BJAU6MhyaZpZSw+2odE3uiithgT2dE9w7UycvWGPcCX9KS3ZcmULBWPW5lH2z6Xih3GZEuQcYfe7D5xFaMO3aWvS84wNYoa8acG5kQ5+bg2Nzn0X3BUrhHRqGLkz1I52H3mCGoy86GnZUQVfW1mJJ8k7k8TGwWavTDVnRSGWNwtWxDE0D/2tIJ2SXV+LOkAhXpd3Djh+/g37sfAgYOxcDO/ogLbtmOaYxDpXeTpoqhqcTz6HssvlSE7QWlClFA6hQgWoPM2w1ZfeN0qvwa4/y5bfB1lRjznVg2pxcE1+/A6UgBrp6ZDK/q2RCJ2rPDOFFWxZK4NGdg74ak7rDz9kH63l8R0G8Qco4dUoA3Wn52nzCFyvwbqdnIq5Vic6JcJJEq7pGTH8NH7QPgZ8vflcZHdVAUMIw52Gq2RaApde8bKLKeiuQaUtSWiyhaCARsjtDDxQFVTU3Mjq/4wjmk7f0F4eMehXuHeEwN9YJHgvG6n3jBqsASRIdpayh/D6ib8vtcMerLJS2Scn1dHLD++2X4bfdu2FoLUSWtxtBxD8PL2xtLliyBtbV+Lf3cMasD6PQbnw2rOVxe1I0pHz+exoC495aWliCwTp7xx44dw+bNm9mmBgwYgMmTJ8OQzkA+Ac37NRZtveeMub5WLKnnzh5U0PWpoOsD0Ec/CVGX0XIOejMQKv0GZdJG7Coqg2v2FYR9vw1fCoVMCMndXYRp/czTzqt8f/BlyCmrRiqVKCmRg/Ply/W8te4tzvE7yfpqc36pYpKlvMHCh7rCd+pUJnzjJvnS6ACdj1dFmUQ7qgYYuUKqy4DRy//33FLk10lxdsn7IGst8r6m1s1uCX7sJWqq4JuAmEM8jyZ/G24VoCw7i3UP+HTrheBhw9npDuoRhFhf4wk/6TKG1E1CAE1dUIs1AVVjBVXrOW/Rv8UVyJZSguYjWFpZM94w/bcgKQITo3xZpUSX2JpfwtqAleOVEG90cuKvFNHyfDQQa197CIPUt1fqclx8y3CJM85ijvM0pom3f7+BeLiDLyIizCfIRMfK29boYAPquDFlkPe5rE4+ESeAzrk70P/v+u5iiO0tcNtNACs7+btBuaKqalVG4pLBtjYM9P0Yf+8b02vpKrQbPhrLIwPgWS3T2EllzMqYtjFTB9AtmpvxRb09vs0uRnNDI84sfZ9tJnLyDLi0j8RjD0XCVWR8+o820UBTdJVQQuDA2RwGRslKrDzttuI8JSIBPGI88EyAp9HU6rVdD/pdOVmkurwxExUMoF+7DaejhbhxYA7cBZMYQJc0NLE5U2VWBm7v3I76ygoEDhgCe18/pGzZyBwq6ivKWcWYKsednezRrbOfXOAWAHUnrcmUW6bVioth6+bOklqbOrTTmvTjqxgr5ke6DGIblpE1NOHWnvdxWDYctQ02zIaVotPct2Ht4MDsErkxKjh9Epl/7VO4fzyRFAyHQOO+t8mSkyrc6sKelLyt29ZlxomRUTPXL0VlKG9sQlUOzQ++gl+vvkxDYKi7E65mn8bExyYpDuP06dPo2rVrG0Ya0ATQeTsNw1xMOkdTd0Ka7ktqayfBvMLCQtiLRPjwbrKCdGTOX7yAz5fJvdAfemgYJs6aAmG4q95ODHxjYcyEXZsu5H1c+QFAN8Hgax1U1Qo6tbJPnsxfQVcC6BZSIUKa1rHJFkX6onmYCGBrZDQiJk2HIMYNz0cZrxVJnyEiniPxHdW+cIlrVyGRt7e3AaA3iGshvSPBnRops1HK2LcHhef+VexyX+pRRL8zD2FjHmHVwuqCtUYH6MT1rr3R0qJN+Zzvh8gFTcioUvNzQRnEEgkurlqmEL6hLHHH7gEmbe3lU6o1NaeIMuWSM/n4Ia+EeRoTZ5bAOYF0ihdGRsPSxnRt1Wo/fCpiK8rLGJtzySUDiusbsOcuqD63dCHrIoh9ajbbdU1Hd7wW6qvzhJxanJek5TGhNYqOjnZ4OdhHJzEp7l5UNy4CRxvGVTN2cJaLxKGk5EJ9k4xZ7WUf/hshD42Ed9ceGP9wewTYCY29a97tUadT3R15C22rMLFAFMc9p/2WNzRhZ1GZQpuA45ZeDBGh0UreStjH1QHPBN5TWqeK26HSSqTXSuEntMZQd2dIGpvwSkoWxFcu4c/p49l64/afgL23LwP3ytaXar8DRph463IB1QF0Yb0Mi6W2zOGg9PpV3Pp5K9tUlzfeg5OLA54cHq3LpvVehjzCay4WaxTRNKZ4Ir0LG/KrWRcDN0fg+Ocd57wMOw9PTOroD68wV62gUu8T1bIC33eT2a3RvWGEtlZlgJ6y53UI7R7G6TpfxbtMmY/PbDgjY3D6g3chsBGiqV56r+PGzQmRnX1B7ywuqGuPvjMUZEVImi7eQu1VVq3UHyO2+Gu6DI0VUqTsX4gTGImitDykbpGLwEU8MgVuMXEtVss7foS9O6Omz4IwMgKvPRQNyzYCZtXj4u2oCHFqE02TCkaMWiJrxs8FpahokrG2/Yx9u9FYV6f4Joz1c4NdmA0TQOOCRNBsbNqWqNME0PmSVPdj3kiCrkSNVA1SZq+tlesEkD88+cRTCEOckFmZj6QOneAkdMArb7+Gl9+Ue77rG3xq7ua2H9T32M2xvFYsqedBPKigG1JB5wA6AfdvvgEOHQIKClq2uCsBdMsqZ1jWf4i/SypYm1bhV+sYQN/ZtQe8Ro/GiH7tEKdBpEfP66n34jVXiiGrUc8/ZC0rdZVygThqczcgGJ/vXCGampqZKByJ7V3+Yg3LZlPklBfgWMZZ9F35OYIGDcNXsSEoyVttdIBOx1F7uVhRmVI9FXNbCtH+SXmTeK80KavOy8HV9V/At3svBA0djmFezmjfy7StvbycIhsB7BNNZ7FE/Kn8i4WMd1x49l/WthvxyGS4xXTAhEB3+Cf5GXC3tW0VBo7OF2i0mDFGhYA7Qk4TgSaPGZJypO/9jQkEOodGIGr647AOd8FzHQL0nvzWNslYu7ydwAIRIlsIdJw886mYM64aJeuMLKTIVSlPSaqYX33+P8eZSjMFtWnW9euCt3qFm0QQi+9OYRPzS8Vorm/tyU3rccI6bbvb1K+t/EzSs0EVJOKV0kSVxqShTxdke9ybiM4N8UGik3qBN+U9cPQHmsA31tay6vkwD2dM95MnXpSr9qpHZkqKg/K+1AF0l+pGPFFrjeOSKoUNY+DAoUzsK9rXCUN6BJviMrBtapoIczs0FgdbWayVvgUNVZUK1XFOjXt2z1AQ3cDcYS6QygF0xwN5SN0zH6ebuqJcEArqqKGuMq5zgs4/4YW5ELq5I3ntJ5BK5Bo6vj37IGjwQxjm7oSI7v5G08zgo/6Ymu5C7wICRBfOL8NlwRgc/6ClDhB1WhH9gcTTqIuACh9lN28gdtazyOgfja/jja/hQsrq9N5WF/R9sI1x11s1ntsWRy+ibwF9E2iOePnz1YpdcV0zj/duBycvB1y5cgUSiQRJSUmwtW27HasmgM6XsBW4CGEXaXyKDd9zrkncd8GCBcgnqi3R44KCGDef6w5tRBOEQnmi+9tvv8UTRNU1IHiLOs5C2EWZdywMOAWTrvIAoJtgeLUOqqYKOv19/Xrg4EGgsFDOTedE4pQAuqDMEzcq30BOLbUxL4CnrIkB9N0Dh0IwYhDm9AqDvxY+lAlOm22Sz/OV2QqhFvjwQ7lQnAFBlSh6wf1eXI7C+gbkHj+MnMNyz0rKhG/45FVkSvIwbNNP8IzvxFrPcnJWGR2g0/608YzNzaEhPs/R4nLcrpGyymHWwb8U3q7jOvghMML4VUvlS8glTzSJgxHFgRMQMeDS865CFduMa8XYR5oEh/9G7vEjiHn8aTgHheDJGP/79qLnqxAYw+tTFfzRhLzo3Gmk79vNxos8rRufmYyJkb7MCsicwccvMwUoJQ2E7EwJuwcocXdh1UcMnFDEzHgKd/rHYH1iGCx1TDIYc6z4BKIUFpTG3OHdbXHUBwLmBNBp4k3aFBTd3v0AF8Ps0SiQV88HuTvhMT93nZIwJDRHfFzaLkV7e1smlOVw1wOdE+pTd0rmqoyoA+g+ZQ0YU2/FbMdSNn2L8sx0ZsdJHNxZCYFwDDUe7UT13PlanGlZY1iNcYJ0sgYZ7tTUMTcHTuyLnAxItTrOwQ59kwIUbdsmuO14N1l7owRNFeqVrI0lmMcBdLuf03HlyGJcQXfc+CeLVYS9u3Rv0XHX9e2FsLC2wrVvv0RVbjY7dv8+/REwYAge9nZBeE/9E5uaBoCvemoqGhgliul5pHkTRXL6aly1ag3Q6TeXiEj49eiD65vWK05B9NocyBIitdprGnIfaaN+CBysYRdrGCWJaFbp6WXYX1KB5sZGNh8i21kuqJsks2MgPu8u1xMwdmgC6HyuDkSLJKE1c4Wsnjp7itjubt26xfzfSRSP/ksq7FxEREQw33Oqnlt7yxN7XKfLr7/+ijFjxhh0yHyON5Z2ViD3n/+XQyuW1HNwHlTQ9amgUyX5ySfllXJqcdcVoBf74VTl/1BaXITkT1eBHmcC6HsGD0PD6MF4o1sovHRoudLz2uq0ON/EjD3cwgbggw8MAujK2TYCIqSmSlxjCuKCxb8wF9v+3oCLOzZi1G9/I8TTA8sjA5GdvdIkAJ32ywfAbAIcTSrKpnxBqIWy6GwB44YqV0xin3gWDgFBeGp4FES22tvwdLrIPAvVXBGDPkDqwhSgjNsPaQKk3BLjSGkl83IuvniOVUbcPD0xPTHQZJxnbePF9zy0tZ2NfVyTixQV+rRaKTt/qhpT9ZjCadhgVE0bydowg83c2s2XrDNmSy93DWjiv+VmAaobmli7qnKEvPsO6jv44+NI7QJ32q6pIb/zWlCakJNPVaSiG2L8XCivDF5YsRQN1VXs3zFLl0IU7Y4ZfnIPbKe74Fqf8yOrKoL31P6u3JrMJ45nru4idQC9XaEUfWRWrMPi8udr0FBTjc6vvYN2djZ4qFNAm1pqdRk3mgzTc6sujNHiTe/eysvF+FNcwRLYFOJLF3Dnt52sy4F8vcd7ucKvk7dJ6U58Y8HXSWAs3ikBdMtraRAsv4DLGatxy7InDq/ehobqaljZ2qKpvh7NMhkiJk5BfY9EiKQyFGmKbwUAACAASURBVHy/kVWMKQL6D4J/34EYHuWD8BjjgQTO7kvd+FiKrCDqYLx9cftQHe8L6atxnQPoFhYIGTYCGX/uVXvJZM0yNC1/C0JfP5Oo/Su3oWu6ZwzVZ6DvwcGMEtB3kcQAqdtUOSy/+QiBzo5Y0j5Al0dX72U0AXSWVCfu/V3nIdUNm7KQobov5Wr+2rVrce3aNbi4uLBOAuXwCvPDJxvWtqB6LF68GB988AGysrJYC7whweeHbiGwgH0XH0M2+/+bdR4AdBNcSq2DylXQ+QB6UZFc2R2A5L1RsBn7LESdRzKROKu8EBypeRaS3GzWxkyPBhlB7Bk0DFUThmB+l3bwtDE9GFM3dFonos7NwOLFBgF0VQEo4hIVnjvNDqPz3Ldh5eCAc2EiZpdBwi2P+LhijJerSQE6n1icOQWRiNuXfC4PJyVVuL5xPSoz09m4UEtjjdASb42INcGd3nqTvJVCEypWU2fFhfRSnKuoRurmDZDcuYWkt96Ht70Ij5DloJf2tl1TDBCnl6Bu223lYiuPdYG0QV45ljW3AKfWk8agacQARvUQCeT2J+YKPmVYQnXkh27Mjgqq2H+bWYS6EjEufbaKnabIxw/h4x/Frc5BGBngjrHeruY6/Rb74ePkW7nbwjbcNMdFXrOHk/MYTSFt9y4UJ59nx0XtrM0De2JatxDEOBhfOFKrpRbZDArbJgCl7UKqA+jRObWIs7BCRm09zi9fDBtnF3R49kVWVe7XPRACJ9PqE/A+E0R3iHWHwMFw7itVJJMvF+BUeTWrnFMyxsJSIKf8TJwCt+g4JgRGE1+aAN+P4BuDtiYtufMhgI60OpTO+wXp2Z8isykJh1b80OJ0PTokwHPqZNzyFcK6sRlWn25EZbLc45nocY6D+mNKn1C0czTe88GnXG6KdyIDwBeKlMBgMy6mr8FVi5E4sfRjOIeGM4557rHDyDlyAFZ2IjTW3ms5vyXOQNjOrUxA0lR2fHw8ZLoWhiZtqs4V4IfsYtRU3qN40PaiH3sC5+xr4NizO6b5uuMhT9OIx2oC6HQMfIUM5Sq1qZ9PzvmF9jN//ny1vuX5lcWo8WzGv//e03mi5SnBIJPJIBC07T3OKxRowq5LU4+tMbavFUvquZMHFXRDKujTpwOTJrWsoPMB9Mz2+Lv+cZSn32YetsoAvXTyUHwY3w4eZhbE4u4T3omomy1svSwBEptYsULPWwugCfjtilomDEfBTTjbT5oO18hoWIisgGg3VDQ2Id5RhOGezqyd1ZQVdL52JTpGc2VDaSJ+6GIeUpU8wGn/BNAjA10wLMk8lUO+hIUp1bvp3vg9vwwF0npcWLmUqZYnvPQ6q4wN792uReZX7xuvDSuYyutTeaKXWl3HEjPKzwT929rBETbvvQynYB+drNHacJpqV6VKYS1xrzX4oRuTi0z7kpwvxI/5JShLvYGb239kxxQxYTJc4jrAKtETc4K970t7Ox0Hr+eviUTzaL/UUvvLpVwU1NbhzIfzFdeJ3gs57tb4qG+k3roEut4nphSA0uUY1AH0TmnV8LWyYlaMZ5cugHNYBKKmPY4kUuvuG2xy5w1l2yd159BWi0663l+ezWCb5oTQmHXY0YOImjYLfu3bY0qwJ0QJ5mujVT1PvqSlIVZN6saRAHpzjgh7nloDb8l3OHbcGplnr7VYtDwpGq4vPMOSdr8WSZC6YT1KN26GyNoWATNmwn3aJCyJDESgkemCvPoMUW6wcjZekoioBFRJrpfJWFKqXtaEqqKvcb1xCE6vXAf32A4InzCZjcuZD+ZD5OPDEpxNUikaZY34I/UYRp+5xIRFN3QwPgedAT3ZXT0fqfrOEkPuCfruFp4vYGKQ4svJuPPrT+wcPeMTETL2EZwPFaG7qyNmB3qa7JvAB9A5qqa6e9dSZA2iR5ojOBoaAe0XXngBTXdt97h9N8ma8HvqEQSEBoFU3U0RWnWrRPen2GiKc9V3mw8Aur4jpsPyWgdVtYKuCtAPHACKizVW0AW3Y3GgeRoTgbr109YWAD1/+kNYERsM9/sE0PkmouzFE2QNLFwIrFypw0jeW4Qm4Hf+zcUf4nLWmlZ+5xZSt24iIgy6vrMAFgIrPJMYBNt2rbOh2dnEQT+EDh32oKYmFSJRpF771rYwtRmTcrG6sIt2M3lVhvZLbWx7r+cjt7YeZ5a8j2ZZEzo8/TxEvn4YleCPdqHmEdvgTdC4CGFrAgEUuufKrhRja34pym6mInXbJnh0TEDY2Ino5myPrn2D22zXou0e4Pud1+vTQOVeTg2ZDBO2EygtLkLqlg2Q3m1Nc4/tiPAJk9hEZFqAB4Z6mKZKoG1c+ESAjMlFbpRIkXe1iE20OXG4oMEPw7dHL9g4CvHcUOM+89rOW/V3Za6f6m/GUvRnLZONMqLfM6BJ7yQSsiRLsaa6OpxbvlixawLozuGumNnRNO2d7J2UVcHUxNWFwAwCQKoA3aqxGYkZNXAQWKJELEbyuhVMpyR0zAT09XBEQt8QfS+rQcvz2VFS9bwttnvk4vH15ewWWgPOIaEoz0hDx2dfRFBAAMZF+oD0YO5X8Cm5G+u+IIDeWOCNrdMXQrL7Y6Qmy1t2vTp1QdGFcyirrUBGjwjWeUf0n3dv5SLv5DEcmjOLLdft/SWIGD8JKyIDjU4X5ANnbU3QqF5TutfK0iT4ubAUjWSu09yMGOmPuFzZG+e/WA/vLt0QMnw0W01ZJM82OBi2b76ICge58wnZ1VLRw1TBp+djCBeZqvIpt0sY5YvrtCRNGqL7VYusMLl/OEJFxkuEqBuXbl274t2zZ/Hd2LH45ZdfWizCRwGiBc1R2FEuHojFYiYCR63qZKtGQYLL53KvoqahFtHR0bh+/bpJLj+vblWkK6xc2i7YZ5IDN8NGtWJJPY/hQQXdGBV0AuhisZyXrtrifnEcLNOicdBiCoovnkfanl0KgP7L4KEomDEca6ODzK5UzN0nvF7olhawjxQBCxboDdBpAn7g3yzm6Xrlq09RUyhXl7RxdELiK2+yl+3wvu3U8uqUK+hEESCgbszg/eCaiYdOWcid6cUolpTj/MqlzDKFrFMo5gxsD+L86hsFBZtgZeUCDw/5B1yX4BVAsRVAFG/cyg1XkSK+JQkH5h49JK8WTZ0J5/D2mOjvDt9u5ldwVx4rXlEkAz9AZItCSZms2nocKK1A5l+/txDAIduorCAnPBzlgyHuTiarkmq7J/gSNsbkIlPb7M2bJThUWqGYkHWc/T/YeXpjakd/eISbJ0GlaTzYfXpOvaI/cbdFSd4GXyPSn5BmVSpEoFSPYXNeCaoqKxRK3vQ7AfSwjt4YEd76eayquoqGhiK4ug7Udnl5f+cE6tQtZColf+V9zbmeicq7Inb0d8faJkTl1rFFqrIzce37r+HXqx8CBw3FsCB3RHYxz3uCTxiprW3O1VfF+PZmPioy0nBj07cthr7L6+8ixMUZo7oFmd1rWflA+LqKDAFj6u6v0jl90FAchO1T3kLKuoUoL5OL0tF3If/fk/h5/0ZEL/6AtbJ/GxeCZ65loLayEjt6JbDllF1gjE0N4t7d6o7bmHakXPX8V7IUbGxi38ZacRFGDa/H+bx4XNm8QyGGR8fy0eIn0XgrDQJLAQSJHdB/3dfsEJ8J8EQfEwuMaqPE6AtYqUvhYnElzlfUIOXH71GedhucGOCYDn4INrFgLnvH8gB0xkMn6oEGD3hzFHaUv81//fUXdu3axTzN//zzLxRVlWDsK1PRp08fvPjii1izZg0SEuTPhrGDV7eqnfN9oyca+zwN2d4DgG7IqGlZR+ugqlbQH3sMePTRey3uKgC9bN5ICMc/xzjo1489gaYiHxy2nIKCf08ic/8+BUDfMmggymeOxrroILhYm9fzWXlIeCuG4Xaw/GAhsErOEdU1qHV6d3IOcmulOPPBe4rVhK5uSHjxVQTEeGB8lK/azZkaoFN7uTSjQu2+qTpm18HTZHw/qprVZ1WCMuVbyAO8IJ8Jovh07YHgh0ZisJsTonoGGNS6ee3aRAiFgQgP173bgQ+I0AAZk/vIvIUvi0Ef96tVtThTXq0AqsQrdfbxweORfibx3Nb1vqXleD9AwU4G2R1RdZIplt/1PCc/Z/J1pqA2PvsZk1HhJ8K6aNPZRukyBsaeeGnaJ1XqL6SV4GxFNVI2b2AdNqRB4GUvwsSuQSYX/9JlLPgEwki5l6re+oY2JwnaHnWWSErkFWMKl4j2iJwyE116BKCnb+tKanr6fFRVXWxzIpMpitMktFGm9rRMKRpJO1QF6F7lDQgulgO14ksXmM0avSPpXTku2heB0eZpK6X983VdtYX6UXQ2H9uyxQrldm7giVvc+fV5aOcmwsi+oUa3ONTnvmX2k5SsUhMWAkvYdzFMcEp5c6XPD0N9oQd2TH0LN9YtQEWZXDAv6e0FgKUF/qi+xarpnZ1EeDnEB99kF+NYWSV+jA9jyw3dsB1eiV2YC4wxfNmVj00bLY6UqylR0ZYgm8ta+jbKmiFP0BEPeynbpNDWEtI6+TPpEhaByGmPM52aVfNnoejCWfb3MXsPwTEwGJ/HBMPRAPFIQ469hmxra9Vb9OrDy+a6lUhImIL0SKhlv9PctxBqJ8TwfuoLOYYcM9863bt2xTwNFXRaj7ewE+QEG1/T2iAq60W98frrrL190eLFWLlyJaQOzVi97QtjD4na7fHRIo2lSWGWEzHBTrRiST33+aCCbkgFXRWg//03UFKiqKArA/SUva+hptYaJwRTkX3wL9aWxXHQPxvUC5YzJ+KzmGCDFHn1vNYaF6+9VsI4l+rCLlAIwfJFwOp7fpS67LfuVhl+upGvqBBz6xBAd1/wNgbEeGO4p3qLHA6gx8XtxtWro9s88VQ93qbqBqbmrilsAh1BLxpTBNdGSq3OG/PEKL99EylbNoLz9h3p74bQbv4G7doQgE470uSrSb/ZxXkY7GuqehJ0T1CrWHWTjKnXNzc1MbViEkdKfOl1eLo6YHKnMIMV3G/efB4eHuPg5jbYoPHjVuIVTvSxB9ls6RvUFrbvdhGyKqtZpawqL0exiaCZM5EzKBHLIwPgKzRccErfY9K0PB/HzFggjcZje2oBs/269OlKyBrqkfjKW0yD4OGeIUbldRo6LrXXxGiq0uBwYIA4GOP4Xy4GAR6+IIBekp/HEnfW9vZIePE1QGiDp0ZGw0FNItdYAJ1NQm+WgZSr1YUp34u0P1WAHlQshXe5HADc+eUniK8kM4E4Zx9fzEgKgn2A/s+hofcCL/XDUwTyxNY3qBqXdSoXvxHN49QJZP39h2ITBNCj572H9h28MD7Y+Erh+h4rrzBUF28QUG9LlLwwFvUFIvw09W1FBZ1a/aNmPIlSBwHSfGwRaW+LZwI9maDuufJqrMksZGrmeSePovv7SxHr7IB3wozfVaEtcWUMuz1uXkB2iNsKSlF67Qpu7dzWakhJo8MttgNy3axx9tpJHH7hKUYN67FwGXNn2NTRNLxzdddWWbBM9XddBHfl1WgLNEnqkHdDzOhOpNxO7z2Rtw971mM8HDHYTFSWHl274h0egM5HdaHzd+imvuDUludCeV3O8i83NxeLFi1Cj+7d8fgsOcXDxgwJAu5Y+HzhTSmgaqxxNOV2HgB0E4yu1kHVVkHXANBto4fh1p8LmX1Kss10XN/wDSqzMkBGBBMAvDswEf6PzzRr1lPd8PFlBoXe1rBetRhYs0avkSfQtzm9SDHR5FYmgG7z0TxMDvdGfzf1EyyOg24qgE7Hwpf9JbVcUbyn0XnQrIKcXAyZrBlkd/R3SYWiMhQ6ejw8EzpjUrQvvA2sDBkK0Pkm5W2pDinfMFSVqzpfiNPlVbheJQcAqVs3QnLrJvt3lzfno7PFT4gf9AicPZP0ute4hYkO4e4+Bn5+Txm0vuIDVFoHSiaoCytXW4P4oFSBW59WqLaVFQtfhWW7QJOp7uo7GMSLpXY6daFPZYRvv/T8rb9dgKZ6Kc4tWwQ7D0+Qz22sgx0G9A6+b5ZSysfMJZTUnYdthCus3PTj2qmCvEZZM+qaZXBQUdX9IU+Msmy5JSXX0u3qYYfH+oarHdL09PdRVXXBKIlMXr61ixB2JtCk4E5KFaBH5tbBqVauFUJ8W0ridJr7NgJsbTC6R4je46/vc6C8PK8NnVBgkIgbJYpvnstj3wEC5wTSlcNy02rM8vfAQHfzJSI0jRHf99IYFWTxi1NRnwf8PO1tXPpkPpoFQsS/+CYsrKwwrXMQ3INbJkDI+WXRnTzcqZGyQ7aysMB7YX4m4ynzdVUxu71ErzZ1OVDBIF1czehPFPknjzEfcNUgKpTUWQRRlCvOVrdMpC1rHwB/Iwvk8T0z2rqBSDiNdIxaxNSpkK3fyDoYFUWhZuBiRQ0uVtYo6JC+3XshaOhw9IjwRFIH81h3/XPsGCoHD4bX6dNITExsdeocBUHTmBjyTdDnncTZ7505cwbffvstpk2bhr59+7JNUIKQEkXmCF4BVXtrVtT5fzW0Ykk9B+ZBBd1EFXSbMc8BgiRkZqxFnrQB16ynMhVakY8vHPNyMbauEi8N74bYx5/BFzHBcDBTW5K6+4PPRsXaxRLCz5foBdApM1p2pgCb7yo0p27/kdmokVgcqfBWvzcHL4X6oJOT+pagewD9N1y9OsYoE0/V8yZ7G5owawpTKJhT5lFyqxR/iytQ3CCvDGX+sQcFZ/9VcLCf6tYOIn/DqveGAnQuM6tuLIwlgkMft9QL+WwCUltcyKrnV77+TLHLbu99gCjb1ejaayZcXPrp+RqTL24sgM7Ly7ezAk1I9QlKTlSeK8SGPDEkt1ORumWTYnWn0HBUzZ8DWFr+ZwA67/vAWwRhiP7VQuXxIjG0kvMF2FpQitzjh5Fz+AD7mXjWTCSwX4hR7dz0uVbKy0ozKxgVRV3om6hg1fPkYmZ1c7umDsfK5Cr+FI4CSwxwc1I4eVCrZ0X6Hdz44TsE9B8M/74D8HC/dohwV/9eMCZA5+suMobvN9+1UAXoCek1sG5qVgiouUXFIuLRqehK90jPoDa3FetzXzDqx4VCQEPzg30nL70TuvQNuni5AP+WV+P2rh2sk4gL0fAhqJs8Ah+1D4CfGUGXpjGpTSlFU7kcDKuGMfi3xf97CvW5Nfh58hvMvcAtxA8RM56Hp40VJvZup1Z4ihJc5IZBugXdXOxNalXLePiXizVe/7aOQSlRHXLEqKuqRk1RAUquXWHt6xETJuHWzu1syOtlDYhasQLO7VzwfDsf7CuWsKpzkK0N/hfsDW+hedWz6V1Grh+aBHfVtTvLRo9D7fwvWnUR7S2WoLBWivMff8iStkRtsLS2xqw+YXA0E/BEYyMwbhywR73mkTb6F9Ec7Dp4GJ1iwT1vXML42LFj2Lx5M5555ml07tyF/WxroDaOPu9Ablk+60FjUV4MOa7/wjoPALoJroLWQeUq6EuWyHnn6lrcS0vl1msAqMVd0P95WDol4GrGGlQ1yUCikJJbKfDqlATLC2cxvPgOXp80igH0L2ODYd9Gb8K2DAtfdUBg2wy77z7SC6DTh/xmcoG8MnDgT6bSHDl1Bqqys+Dcqycy4nywJjpIo88zB9BjY3/BtWvjTALQ6eNSR6391epbWIlfSllxYwZN+E+mFjH+NSn6C11cmb1UQ3UNOs19Ey4ODpg5uL3BLeWGAnS+ZAVVCSkz3NYgoLPvQg4y6+oVdkLK2yRwFuj1BgbEvQ0XF3lWWN8wFkCnBBO1dKoLEsuyT9I9o898bZOLUF3fxFoXOS4t8QXbT5yKBjcnXA2ywwhPZ0z2ddf3lE2yfKOkDnWp6jsI2iqKRM8bPXcl9Q1yBfe7lSISf/Lt1RejvV0R0st0SuX6DBgf1UFfrh0lPWqzKrApr0SO8ZqbIZWUoSIzHeTvbCEQwE9ozZK5FJK77gZBQx6G4KH+eKZnKILs1AtHGhOgs3be85RAU49EjVEt1XQNlAG6TYMM8ZnyLg4SjCLhqIABg+HfZwCGezkjrGdgmyqW+twH3LJ8XsiGVM+qzxTgaEkFS9gQ77a+sgIdn30BpSkpaB7eH1aBjvgg4r/xLPB22YU4tVkzouilVyDNKcC24c8x7QXfuHAEjZ+FBEc79CYxWaH+eg+GXGO+dWpTS9EkUZ+kaIvDBT1rV49n4nBpJdJ+/RnFly8qDqPrW/NxZtki/JN5ARmSXEy/dAe9XBzwXJBx5yaGjhUfH9mC5lDUiWhJzffykD76HBrmzmduPoq/yWTYkl+KGnExLn++Gp6JXRA6ahwiRbYYMjDUIK0Pg86noQEYP14jQKdt1l4vAYlpagpD3gO6HisnXrt//37s3LmTicHFxcWx1Y1FPdP1WHgpLwYkK3Xd7399Oa1YUs8TeFBBV6mgJ8YnEi2m5cdfFaDPmAFMnHhPJI5a3JUB+jsjgKSXkO8aiby8z1jVZMPHqezSdJz9Eoq+WIMhaacx7+knEDPzaXwVG6IRrOp5PQ1anK9iaCFrgP3WT4C1a3XeNrXI/psmxuWqWtamWZ2fjy5vvMsyomUOAiQl+mnkn9NOzAHQaT989jH0u6FCUJoGiqoQm1PzUVZSiuS1HysWc4/riPDxkxDuZs8qZYaK3BgK0Hmt9gyoGKs7f+KrfZWcDVl9Pc4uW9hiEaGzC6JeewPxPq+hW8Q7bQToo+Hn97TO96qmBalaRplidaHPfcG1ixdIG7BPXK4ApJSwcgmPZPzKQn8RPmwfADcjCUXevDkHrq6D4OlJRBr9g9cL3toS9p0ME4WixAcJIVE1OfsuxSNr/z6m0hz39BzY+/rjqTAfNqn7LwSvBaG7LWzDdU9cEY3kn4wSlpyrysnC9Q3rmbUiRcjDo+Cd1B2QNaOpsZ51l1AliSJ4+GgUTuiPJXHBGitkxgTotE8+FwNTtlIqA3T/knr43RUKo8oyVZjbjRgDr85dMTHUC74Jht2Dbbmv+NqcbfR0/6BJfuU1MUvYNFZVMScP59AIRE1/nB1irp8dnuwQgPb2+tEo2nJ+fOuSDRaBMXVB7g52cYYLq9J2Sz56F425hVgfP4Jd68jB3eDSczRCHWwxcmiEqU5Lr+3yqbm3pc2dhNbO/ZPFOinIWpEsFilsHB3R6eXXcWTZK9h17ggCBw1Dv5Wf41EfN4zyUq/fo9cJGWFhvm8Fbd42zEXhQMC6iJ58D81znmcdY1yI6xuxu1iCstTruLl9Mygp6dujN6YFe8K9s+7J8DafTn09MGECL0AndyLST+ELUyUxOW2Y3bt/w++/78Prr7+O8HA57Ym+mZa2bRMq1Gf8iJKhqbhlrGQBiTlTV4KlvY3JRJv1OWddln0A0HUZJT2X4Qb15PYDiA+JhW2Ua0svbG0Aff9+oKxMUUEvfXs80Ok5/Grjj4CK73HtbBnOHSuGe1w8wsc/iuvzXsaIlMNYMPdNBtC/iQ2BbRtFVvQ85RaLMwuJc4UskdAq6uth//FLsFj6IRAbq3U3pEZK/PONOWLQ9JMmmtYODiwxYWNhgYe6BCAkkP/jcg+g78K1a+NNUkHnToSPW0ce4IbYnWkapIKLBdhB1mrJ55G2e5diMf++AxHQfxCGdA9CtJ/h7cOGAnTe1i0L8vj0afMLsvpKMb69VYCagrwWre3BQ4fDo2MiskNcMMVhLtqHvPmfAOi8wokx7hA4ahdzo9Y/so+hkumlyhpmIXNrx2aUplxnTgakx9CxvSe6RHkaleJCnQQuLgMRGPiK1udV3QKsikrvA5n6KioBdAtr/UWhlLntN6vrcEJShds7t6Pk2mWm2Ovh4oJH2/vALur+WqxxY8JrOyawhIgqBUrVIb7Brr5UhB/SilAlKcPFNfeSc9w6XectQurWTaxarBwWjwyHxeihvE4f6ekLUFV13mjvST7KCx2bqcSQOIBu0dyMhPRaWN29/wrOnELmn3sRMXEK3KLjMCMxEC7tzA9Q+ACavp1GBPb3XstHrrQBtXcrh5zHdYitDfr1DYGzg/5WmwY98DqspA2Y6Ev54HbJOowuFqFk01JY5BVhlWscCs+dRrdZo4HAbvB0s8OU/uq1F3Q4bKMuwlp7L2qmORg6BtRxeOJMNi5V1rbwNhcIhUh6Yx6cPF7D7yVPQBjenZ3P/bTlVTegfN9KSlwQJ5k6IBhl6L3lwOzZaGpuRlpaGgOY9AzsL6m4l7yePAOekVGY1TGAAXyzhQ4AnY6Fr5OGfhc4WMMu1vg8bM5VZMeOHTh48CDmz58Pf3+5oLCh32RDx5ZXp8YIfHjlNnoqWFnaW8HS0YbNu+h/dF/9F+MBQDfBVeEG9fiGP5EQ1RGt1GpVAfrMmcAjj9yroBNAl0jk1msASt6ejur46QygW55ai1N/y9tlOSD247TeeK+uAgvmvsUA+vq4EAiVMoomOEWtm9SYEWtogN2KNyGwFwA//qh1O9TKWZ5Rzvil9RXluLh6OVwiIhE5ZQaSnO3RrU+w1palewB9J65dm2C0iae6g+eEN9T9ZmzV4jsns/F7oQS5xw4h58hBxS5DR42HeGQvfNQ5tE1q/oYCdPbRSS7SyCVrK7+OJmGFZ/OxI78UZak3WFs/F5S4qQzzw6AEP3jkT0dg4OttBOhtF4mjY+Nt6dTxA8RRB25U1+GUpIq1NSd/uhKNtTUgsR9/oTXGkGK5q3GrZG0F6HT+xs6QK3ObM2rrmf85xfWN3zDqS9I7C+FvJ8SoaF+DFLG1vpgMWIAq/jXni9QnLvXg/VGiI+9ULnYWlrWy0+IOy793P+SeONriKK8W3oTH/DeZUNz3ce1gpSEZYOwKOh/FgQ7QVHxHDqDb1zUhJueeABYnoBb75HNw8A/EnCHtYeVofvBqzE6j3PP52JkphuRWKkvMsPlBn/4IGDAEDwW6oX2SYU4eBtzmOq3CkvgXNVvwMZCQ5KNzworbKYG2uvwqZG9cAueiEiyqckR9aREGMFlkJwAAIABJREFUvDoTFTbhcPV3xGPdQnQ6RnMsxMfFZ1X0BC+9k9n0nTh0PhepNXWsvV9adq9CG/7xEoSJXsJJ+8WosfRBDxcHzPmPtLdz461Nz4eSV/8fe+8dH0X1fo+fbEmy6b1BQnpIo/feq3QUbKiABRCpgghYEBBUQEWKCCIgSO/4FpHeO4Q0SCE9IYH0nt3N7/XcyWx2N9uSLOrn+/P5h7Izd+beuTP3nqecQyzjVK9e/cMPwHvv4eRffzEd77Fjx8CrSw/GJXD325WoLCxEq/dnw9nZBa92atbo0ol6zYmKCm5fr6UGnW9LVw02f4yxv5HKUofbt2/H5cuXsWzZMjg5cY4Ayw5uDc68rNcY1RysK6OmvuVfmq5PSiKUdabJKKpeXx6ghvSxIef8B9AbMmp6zlEH6HW84TxAX7YMePttQB2gnzwJFBQoAPrTBVNwy28AHjn4I2XbMmQml7I7IKZu9OiI/f1D8BWgAOhbwrxhWg+AXlaWiPj4GUYFrloBSVUVzL79FGLzKoMAOqX/7H+YhVypTMHIaevrj+avvYWeAc5oaQAjZy1A34+oqLFG7af6VNCliS5ylIBYzI1hTPv7UgqrM3t84giyb99QNBv41mSk9g1nmRQNTW+nxhoD0HV5ROubvqlpjNMf5bI0tic3ryHpfxwJi6W7B0LengpZaxfM8XFjJG//FoCucwFqYgUaE31GJISxybk4n1eMyqIiVBbkIernH2EfGIzA8a+x+sruvXzqTS6l77rGAOg6PeQ+tqCay/oYLyOUWyVltec0HpDLGBGavKoKrWfNh5/EDP1beICICf8tRt8zih5qMpGTxKAID5UQRVxPY8RwGZfOI/XMnwgYO54pGJDcXllONizcPFh2CW/PSvNwMu4SBu86BMfQFjoJBI0N0PVtQAUWIhYVa8y3StN48gC9dcw9mMMLUrEZI5SM2MCVVxGDe6WjDRYM1Z/J9Tzmj05uChMTWLQlcKY/skNrwf2LyWw+EDs9cRGQ+bwwknHUjO3UDB4e/zxzu/oY6iKP5I+1bOtqcHSLr19+UFQG6wOrYZqUjc8zy+HuZYHw119GgdAXpqGOeC/I+NJpDZ0fuspeqM2GrJXF1zPxF/H1lFfi1solMLW2hbmjI9w6dEZxmwCEmH6gAOgEzgmk/5uMwCNlimkrCaN7pT01cR1h3ToG0Bd+8gmePn2KoKAgdJ/0Lq49ikPkZk7Hu8OiL9BUYoZRvf3+XjUPKi2g0lU9AJ3uUZfCB/3eWK4W9eerzH+wadMm3L59G6tWrYKVlRV73+i9+ztNp9SaEXiL+P0CEUsfPXaMZVqE1mTwNobv4XmP0X8A/TmMsDpAr0MQVg+ATp7mnIUf445fB8RYeeL2yiUUOGNRZL/hY/DY3wF/dQlSAejaoiMVFVkwNXWtsxEqLLyO5OSlRgWuWgmRqqogXvslzMRFegE6pcZmXc/AvoxcVBUX4c7qFexpkZ4l6Vq+0ssfTg4SvU+QB+ghIfsQHf2iUfupfnFdaax0rLF0wGmTfutqKqsze7T7V+Q9ikHguFdZBMV1xAgIW7jgQ5/G6Wg2BqDrclQIbc0alXZMUYc7aXksxTv19ElkXL6AgBdfAencFjhb46Uu3gixkvyrALpO4jwDHTdU6nEi9RkyysoZMzFvXv0Gwr1LDwz2dERAe+NvPo0B0HWR/4gboAVPEXlpSRW2pj9lwxCx/juUPc1mf7fyaIrQyVMQZiVBz46eoPn2b7Gqp2WoSMjXeDtMjpEiZnrS7cjZcSkhB9El5Ug8coARBbZ6fxbMHJxYvTmpe9BGRNlupkUg7lkyxpy5Domjkx6AbtwUd7oPXRkU9Lux5BeV+zwlKokRqi5fMBmPOg9BVMhAFUJJUnowaWqN6R19/rHpoSvTyBAtYj6ThC95idq8gTlpyGhOWDo64e0RYRAbWDrxdw4EK30hJYJKjjtBkxmqg6ycUbMz4xk6/7EexdfTQLoeIW3s0XTwaOSJfCFo48IYyjWZrLQAQouGl4RRmyWXdqLqzlnYfbDZoKGk/V3ZgxzIyzWPAdXjW7Q0nMCNBzrEYp5VUsa+BXYBgQh6+Q12P4kuQrQxma4RoBcd+QbV0irYjFlg0L0/z4N0ATaV665bh5PezXDwKOekb9q0KbpOm4Fr584h+eQJOLdsA98RYxBgb4HBvf2Me8tffAF07AgMGKC5XR6gHz2qQmKn6WB9tfd0jkaZuXr2iOZbVWYJKGDA2/fff4+oqCisW7cOIpGI1Wn/3RFlndlEFiJYhDeOR6Ys6ilkxVXMibNw4UJ07twZb77J8XOY+dlB7KQfR9RzqI1y+H8A3SjDqNqIOkBnL1drl9pUbB6gz5gBLFyoM4JOgO/p8s9wzrstHstt8ODHtfALtYHTmPmoNgHuelvgeht/FYD+S7gPhEqslvzd0UY7IOAHmJs3U7nhgoKrSElZblTgqlXTUiqFcN1qSAQ5egE6gdCrV1Jxu7AE8Qd2M6kQjy494NlvIMRCE7w3LNSgFLi/E6Drk86ggacUZPoo0Ia8PsaYkGsIBylt9PLNNFZnxojzsjLRYcFnbCGosBJhdDcf+Fk0LtW5MQBdJ1GggKJDrgY9O03jU3gzC7+k5qBaJmUlD1UlJWg752OILC3Roo07enlzaVr/pgi6LseNvhoz2nxS9JzGlCSzlKOA1E+KnjqEhGNCN1/YuWiWGjR0ntGY5i99EfafHlKcYgyArlPZoZ562LxE1dW8YlC6P0XP767hnHdkfEZBOzdbdO7safTIrKFjqek4vkZWWz2+WTMbkMNCm7HU4DvZiCsqBaX2/7nxBxSmpTIZIWJuJ1N2VtDm1LRVOE49vIjsiDtoN/8TdLCz0gpS6Pz61qBz68o6mJt7ab1vfZFCJilEUXQjAkkFQF88A4/a90RkYF/cWP4pu0eHkDAEjH2ZsRW/3dz4Ti1D54iuyJm+jTKRgZHjg+bExbwixJVW4N53X6OiIF/xTfBoYoOxHVXXe0Pv7e84TpfDir++IU5t+j5mZRTizLNCFMnk6Lj/O8iisxlAb9fLGQ5dh+NqsxCEuNponfuFPV1hdTIBAvOGR5TzPh0J4bmrsDmvWbVD05jqS+k2pP/ULkWciQOHvjH7snLxLDeX8VPwIJWOiWkiRmfpNI0APX98CFBZBbuDcX/Ho9d7DV3ZRoqT163DtIgIcCKzgIWFBey9fZAeHcX+zQdzupZcQJtXpzB5XqPZsGFA797A7Nmam6wHQKcGdIFU+l3cSElSWoPpPaHMHWX76quvkJyczAA6mb79iNHGT6khXftmWhMs2tUNLBp6Hywjg5REqqsRGRmJtWvXYtSokRg0aDA3Z1o5Q2D29xHiGXrfdNx/AL0+o2XgsZoAuopcAg/QQ0KAc+fqAvQ//gAKC1mKO8lJJX6zBPcCOiA6qwzxh/aifS8XCHrMQL6lEHHu5rjV0q8GoC9AyBuTsT1cM3M3baT8/b+DROKr0pOCgitISfkStrbd4OU138Be6j6MGDapxqyOyWQw2bAeFtUpMNFTg059/+teusrGo8PCz2EiFGFCc3fYhRhGnFEL0PciOvolhIUdVdm0V1Sks9s0MzNOnR7vrdM1QkSKRcQf2uRe6INFoI7+FFiIQR5laXapCtHW5bxiVmd2/4fVkEur0HrmfIhNTPBSmAccAxpPjNUYgM6iI3e01xg2tA6d5tXDq2lMci/j4jmknj3Fhplk1bwtzTBsQIDi2f6bALrW9wFgBGnamMzZJjzqKZOpklZXM5bm3OgHiNu/WzG9qJY2p7UfVncNbDQYlRXnomRosMoG0xgAnfrBdH81GL0DFDk21Mg59TT6KfZm5aH0SRZzWiobMXO7jRqFnu2aoJOb9pKSwsIbKC19CDe31w29tFGOo1o4qonTOBZ6Imbqjo65c+dCYmGBtxcsYimtpyzliFi5DIhNgFAgQODKr1Dg4wJ5DfClPz7ycUewlfaIQUMAurf357C2bqNzfHTV27Lvr4FcDIY+BJbiXiXF8iWL8Kh1W1y3bo6orZsgsrBAm1kfMYfG5KHBsPgHN2f6yNK0pXgzPoOIp4ro84mcAmSWlDJFC1sfXzR/bSIbpje7+sDGteGA09CxbuhxXAT5KSiCqM3EzhKY+eouDSu5l409yTkoqqxijvy+d05BnJLPAHqPF9xh1nIIzgaEoa29ducUAXTL3x9CaNnwMrS8T0ZAeP5avQC6vrVSaKADky8r5LMpSjLSWJq3e5fu8Oo3CHIW0DFF39KpuGy5BKUCd1Z/zqe4548LBqqk/xqArk8Vh+ZL2Tff4MO4OJCYpKurK548UXWMLPhmNQrtJWg+uw1sj0dBaG3YntGg+awPoJeVcWWqR46osMzralsXoSbjJCAiUQ3BN333qwn807wjrEISaxXl5Vi1ejVrRmgpZs7Sv9tKCERLG690o3zf1EfZs3LGAUT27rvvsj/fe+89tG7dmgVNjS1/bMxx+w+gG3M0a9rSBNBViA54gE41EGfPagboVFPZowfKis0Q88NSRDVtgT927GdX6D3CA6UtpyHfxRxxNkLcbumHlawGvaEA/TJSUlZALHZB8+ZbjDYiGl84mQzYuBEW1ekQ7Niq9Vps4Y7IwfG0XGSWlePm8k9h7eWN4Dcmw14kxLi2XgbXlqamfov8/NMICdmN6OjxdQB6bOxbMDERIyhok1H6rs8jrnwRFk33tVVJa5UVVrIPiq7UP2qDiLEoinb7qy9gamuP8HffZ2m93ULdFGOTk3MQBQWX4O/PfXzrY40B6HQdXdGhhhJ/UGbGpeupTHIv9tefUZCYgKY9+6JJzz7o3MQO7Tt6Krr4bwLodFMlN7O0M5mTh1hDvakymOPrrYkQkIgBeWu69FMU+DhiY2jjyY+eF0DXqexA/AHtDGf2p3qyiPhnjCiPT/Hmx6JKVoWsni3hPfltLPD30AlEU1JWsncjPJxLj/y7jFiWCaxqM0moI4RWmln9lbk9SktLMWvWLLRo0QLTpk1jmucrrCpx4YuPkXB4H2v+1XvxbEM33MUO5XI5utlZw8dCd8p/wwD6Z7C2bqtzCFkk4552p11jIyXqF38/4jGaJZVg/LZleNimPU7nmiHl9EkFe3t/NzsEd6n9Xvxdz1/9Ojybsqbra5sL6hJtv2XmIjczAxE/rgXP3t7D3gotOnv+rXJJDRlDfdkVlDVmQczdFmKNzZOzIvVqOuOiyLp+Gcknf8cISncGsNXVDWNfs0GSTVdc8mmJdjaWmOGtOcXdGAA9f/EwCC7cqBdAp07pKgGi3/WRhDEH8L1s5FZynBwkP3rr62Usy4zAOYH0DHsxMhxM0K/4/wZAN4RIMOLdd/ET1epbWaFdu3Y4RwGvGuvVqxfemPM2I2lmz/bvBuilpZwS0+HDQE12k773Q1mpReP3wEDFF+Vzta039+7dw4YNXJ2+o6Mjli9fzv7ekJIzff0y5HddmvANCehQgIu+k/JSzvnHr5f0d8oasLW1hTF5oQzpY32P+Q+g13fEDDheE0BXqbvlAXp4OHD6NEC1EKSXSP+/eTNAEXQC6CdPImvaUmRs/wZXBa64cvoiu/qg8Z7IC3wPaZ4SZJoJ6gD0HS1UI+T8LWuLoOfnX0Jq6kqIxc5o3vxnA3po2CEaIyY1AN3c5BlE27iPgyajRbssPh+/ZTxDXk42ItZ/q0jV6mFnhfD2TQySpqK2ayPoPEA/DBMTLh2ULDZ2EkxMBAgKok994428duVRz7TqOqpfgVIZzZs7MG+esraz+nEkUpVTWYXMCimKpTIWPaeaU6pHtvX1Y1GTtjYW6NDSHWJnjnQrJeVrFBRcaBAIaSxA1yUjRBqbDdGnJm6DP++lI7GsAtFbN6E4vTa9d3JLT1goyaj82wC6Lgk+TWmMfCo3yaqR8Wzlcft2ITeGS+EjzfvqqRPQ2dsRr3g4NnryPi+ATjdW3/5r6wyRIPEpvZQ9Up77DD5DRuDx70dwJeUuHCe9geDXJ+KbIE+tWt/cu/HPAHQ2FlR3WrNxUO+nNoktPr2dvhFSqZSB88rKSvTv3x9jx45FuYMZZpXlI+PyeZyZOhH+Y8aj0yfLMNTZFuPdDZ8bzwugUz91cVPQ78ZSuqCx+vbPWAhLpRi1czli23TAiYf5yIm4yyQJbR2d8HqQGyTB+selKjsJ8uKnMPNt1+j3S1MDuhyZmuoj1cskisrKsO6vc2wNSzx2ECQ16dapK4Y1c4RP238ufb8+g6VL5YLaIXlSkimtsyZWV6MioQCxqXmMJC/p96NMVo0H6Jenz0FryQncd+qAe25tnjtAz/t4KISXb9UboOsqCaM+03rJSkC0lMXxay0jhyutwPWlixRDRYS6ZkEBiPSirBnp/xmATh3QNy94gG7t6Ihx48Zh/fr1yC0rwIafN8KzlT+LBpP9IwC9pAQYPx44dAgQGZ5CrSvTqL5p7srcDDQOOTk5yM19hqCg5jh+/DiO1RDYubu747PPPmNjpc8ZVJ/3uj7HViTmoyqnTOMp9ZUcJHnmsgfPVNL5SYZv5cqVCoc2Xai+7danP8Y49j+AboxRVGtDE0Cn6BhjZaX0FB6gt2gB/PWXZoBeXAz5ydNIfH0BCg9+j3Mllrh98y4srEUY+44vHlq+gSg/S5SaQAmgczJr9QfoF5Ga+hXEYic0b649ql3foWI6lVklqqfVAHRTYTFMt36rtUnatKRnFYGl7l29BJLGIdZ651ZtMdzDAc06ehic6sMD9ODg3xAT8zJCQw9CIKj1xsfGTmb30by5YcQuhowDpeyRnqe2lB31NgicS1o4Q5pbxuqEeKuSVyO1ohIpZZUMlKobT57nGBrONuRd7KzQumNTxcL0TwJ0fcQnVP9piP4332dyfJTcyMLvOQXIqqzC7W+WQyyRoMW0WYzBvHO4u0r97r8NoOtKbVYpganpsHL6a0ZGBjLzC1BiZYOdy5ZAaG6ONjPno9rMFPEB1vgiqCkcxIZvArTN4ecJ0HX2388OxGKuz/gNx68Zz1BaVITbq7+EXUBzBL38OtO9Xbt+AXrv3AvXwCBsCPHWSY71TwJ0rSSaNABaIobKm62EhAQWBSCbNGkSOnTowJh3v03Lxu2CEqaFbeHMlQ1sC/eBoB5pkc8ToPOZURQp0mRU7kGkWPXl51Bvi8ogfj4bj/Lqag6gt+uIg9ceoygliUnwuUvMMSLUHWY++knB8mb0gvBeTL1Bl765zP+uK62VFAjUFR6UHZ9SmQxL121AZtQDxeWCxr8Ou8DmeKuHH6yd6qeOYOg9P4/jdBHm0fU0gRN+j3GzoAQPissQt+dX5D6MUQD0a3MWIEy8H+e92yHFoqN+gH4iBkKrhpeHNRSgU/90fR/pd11ZZ8TKTevF9vQc3FrzFSqLONlJ62beaD5hEtJD7ZFVKYVJddX/KYCui7tELpcjcsoU0K5tzscfo1mzZth373fIhNWYTHtsJWMA/dgDCG0ML6XSO8cpxb1PH2DWLM2HNhCg63JiMiLR1pRtp5+/SJN6xgcffICKigq2duzYsQMPHnDfDUtLS6xevfofS2+ne9Cl6kABJ8o0NdQ0gX0qBysqKsKECRPQtWtX1pQxiPcMvaeGHPcfQG/IqOk5RxNAZ5OhhTNjSFQA9JYtgVOngLfeAkaP5v7/ww+BCxcAe3tUnLqNmHHvQH50Hf58Uo0HMXEYPdkXtg6muGs1AVatXHAlvxh3WvqBKJJ4HfT6A/QLSE39GiKRA4KDtxltRDSmehO78IYNEImrYL6FEvM1G6X9Xc8pRERBEZPFIekYqhu0sbHG6+28YNZEvywV33ItQN+FmJhXEBp6AAJBbQrpw4fvoLpaZtT0fro2pZ1VphSBsgEMNQIpVG/O27MqKY7UyEilnTkJj269YO7ohMSjB1GenYmefcQ4/muyos6sn6MNgrt5KT7g/yRApz6UUn1hKVWI1TV9UQH1M/jFen9WHnKLi3H766VsI0ob0m52VmipllXxbwPoGh1WNZ3UtPlSTnvka6ecnZ2ZF9zB2QW9Zs5FiZM5hrZuCkfTxoNzuhVZYTZKhoUbvQadLcCpRWwR1mSGljwQg/mzrGIcyM5Dbkwk4vb9Bs/e/eHRvRfKRSa462oCkUSCQU62eFVPRsE/CdB1cRLQ+IjdLWHmpSqNRc5OmkNkhw8fxv/+9z/2d9pY2TRxgCTIAYVSGfZm5SKprAKe5qZ4zd0RlqLabCFDvkPPE6DT9fVF0Y0R1aDUxh/vpLDuEkCPadcJu0/eQbVcxrg6/C3M0L91E4N0kZ83QNep8GBvDvNAe5XHxkskEUD5aPFiFDzllAx4azV9LkoC3fBZ90BDHve/5hhaJ8oinzEyJ22mLEWo7AAmItm7uYW4u2YlpOVlCoB+fd5iuLktwR3bl5El7sQyzGZ6u2ls3hggLm/BYAiv3GmQM6e6SsbxCmipw2UlIK3rqjzwKcxPKqtwIDYB99etYf2jyDlJ0j5yN8O0cE8sT8xUAPQrFp+jROihWoP+UjAg/ffUoFMfGNcCcdnI686J0pISxM+ejVstW2Li1KmsRMyynfbyBYsj9yGy0/zsG/QS6APoxcXAyy8DBw8CYs3lGZquy9Lc72ngb6o5mDJJKKNEl7FsK9KJV1NI4PcRffv2xZkzZ1Tetc27toICBeQk/SeMnKrlDxuvVc5lmj1hvD3E2n7x4gW0bduO6byTffvtt5BIJKivQsI/MSb/AfTnMOraALqCBIePoLduzdLYWYp7s2asNht9+wK3b6O6YyeUno3D7VEvwurERhyNL0JcWiYmzA6EUCRAtksnWPlbY1+hn06AXnb/T0hacjIQXIr795BIfFDwy0eoTomH3Sf7UXB9O2QrF+HJsl4IDt7Ojq2qykVW1i/w9NTCUGnAuKmn17BTagC6QFYJi+/nU/EL+286VnruFqq9fGBSmIuqtAJctnVCyp7fcP3uLdh27IJmA4ciyNIcA/r5G+RB5G9RGaBnfdEV7gsus4Wo5NAq2Ly+FIk/dUJF5wA0D9mGyqS7MPNti8KDX8LqhVkQmDaOCZ3uQb1ekN3XnTsAOWiUa5OuXQPat2f/R17OGzdusLqqIwVlSLxykdXWkbWdvYBFDsk69nHB9TPZ8Bk6AkSONcrPBZ4tuUWqsPAWcnL2orQ0RiXFPX/dexB4+MJm1DzFUyz63w8Q2rnCovOLiv+LPzwAYuumaNa34WUPOiOFWoAIu4Fnz4A9e4CpUxX3QxGGjCdFOJ5TwFLbo7ZshGfHjujh7wC/TkMR2MVTMS9os5X8QweNOugyWQmEQv1s5wnbusKyxSi4tZ7L7qGsLBElWz6BqKASdgv3GvAGqB6iayNOmQSUUaBsZbHPIItJgtTFBYenTQMt2fdrDqDFxqWpKyMa5GW5iOxRKs2Ho+OQet8bf4I0PwulI1pqBOhNXKeg8NvJsJv3a4Pa18XYzFi8w3VrYdPCS3X8xNxO9edUZ/004h5CJkyGtbcPrN0skeFqjjBrCYY72+nNsNEG0GVFT1H0Xm8INmyFWZ4pzJq1aFB/9Z2krEWrOPbSJaBLFwgkYkhaOqv0QTkVmtIR8/LyWMqeubm5Smp4aWkcSoojYPGwEpbdX9Z4G+SIKT35E6xfXAiptJCV/PDvBA/QmzR5Hw4OAzWeTw7NnJTfIIl8ivyIbbCd8C1smvTU12X2O2ObJp1jUqXQYIbMBfXTqA+xsW+gefNfIM8SsJpeUjwgTdI+P3yOB0FBOH4tEg5+vgh4dRIDap06eWqt9Vdu/3kDdK3szdnZEGRnwGISxzbMxi4tDaXnE1DtHwg+i4Jcc85OLsh8mo22TmJEUxqnk7WCrbykJAaWlsEax7pwx8eorqyA7aRVBj27531QxeMCUIaAVnvyBGZ2Moh7tFWJuBUUFCArNxerV6yArY8fej1OYDXoO9Z+ie7lU3HX4d1GAfTSW8cgdHDXW+aQN38QhNfuNgigU5+VnXCaxkDZQcG9SzKU3OHAXEGVDCeuXMH5Xb/CvVNXeA0YwpR+XjsxGfL1lzA7NhWC6kr0LZ4GYwB0aW4ai0ibiDTzZRhrrmhL+SbwlbFwIaI6dsTLEyfqjP7SfsDi8F2I7A0o+UhNBT7/HPjpp1p5tIgIgEidlVPV9QF0KlN95RXgwAHAtH5jpHFtqBlQQ2rE1XkdyJn7+PFj3L/P7yC4xvr06cOAetseHTD7+9qyCPYj9e/HHwEPHWOWnQ2cOQMUFBADW+0jj4oiORDghRcMngaaIv7KJxORriHOA+XvKa/xzrfzur09ulFANCiIZU+RBvq/2f4D6M/h6WgD6IoXiwfobdpw9eYE0GuiIejfH7h+HfIOXVFwIQ47+g1FtwvbsP9OJjKrTfDqFO5lcfHPQL6lA36SzUTKS/0x92Eivlm9Hl59BypS3EkLt6i3u2KxUAboeVM6QxjzGDbnslD886eQb9uItA39ERLCbb6Lim4jKemzBtUu80NKG7CS21nga2jZ/9cAdPqr+SsDIRrUnTEa0+YTP6wD+vUDHsYCqWnAtGl4NGMG/ldRgeDFnyPbRITuTewR2qF+bOs8SVxw8K8o7RsIy703UfH4BqTzp7GxoY93+uct4W03C1Uz3lT8n9nWExBYO6Nk/mjY/Xy7wTOFgEV5bC5jZVcYgc9Ro1Q/3CRz8dprgK0tNm7ciLt377LDO704Ho+iIpEbHcn+7fPCSDw+fpj93dpWjKKCKlZza+Pjh0ldfGDpxrH20vPmLSz0CAqH+cL2RBIKe7lBFuIH+/WXFb8X9HMH/Pxg++Ol2v8b2BTVTVwb1XeKFJaR1q22qIgJGMjka8UUF796FSDSkpoaKRrD3JuZ2JlOZQNSZF67jNQzf6J713YYmhUD0ZLv4R5aq5WpDNBJnSAycgTCwo6wOk0al6CgzTA11ext5++B2pAPGwS7uVxWSVTUeLiuuAHnXuVzAAAgAElEQVRxjhS2f3DRufqYrpR/lejIkSOQ349Gab/XmdPu6bhxbCOSDOA4wNhHiYVUkZFTcxMJCfNQVpaAsLAD9bktlWOleRkoHdlaI0B3Mx2Ospe6NHjzqa/OUp8WNp8Ce4PSWQuK8WDTDyjLyQbpWZO84LT+QfUqmdAG0CuS7qHijYHMwdPs/foTPhk6+BqBGX0DJk4EJBLmsFEuAaHaezKKHM2aPRuhoaGglEUy5WMzMn5EXupheM7THskrPrUJ8qWL2bOMjZ0IMzNP+Ph8ztriAbqDw1A0afKexu5UVT1Dyp4RcP6Jk2QSfLEKVj1eM7TreoEIpXVTerehVl6ejLiYmTBPbgN398kokMpw4EkekyTsvuF7nAUQDSC4sxds+r/LMiwCutY69HRd53kDdI3rJN0QEV5FRcFy6xIFgaRswxaUXX3M1kaqH6U60vE+PmguNsPxV17H2K974/Mfb2JpQFO4mXFRO/reaSNCZNJaFZWwOxRv6FA/1+NYaRhFkbWtF/v2Afn5MF0ym+k5U7Q5PT0dS5YsgZubG7KysuDZZwDanPkTTVGNXd/Px/wFI0Faz4ZE0LWBOFoLZK2CYf9dLQmZpoHImzcQwuv3GvyNZHuFaN38NcppuUSYSePA24IFC5Cbm4sps+dA1MQTUisRWsxrj4pTaYYBdJkMdgce6XzGeZPbw37zTbZvqp44EbZvcMGC52XaMq9SU1ORt3QpEnv1wsiXX9ZJ+MUA+sGbEDlql4JU3D/tOTZtUo18E1gl3fNWrWq7+RwBui5nvj75ReXAmEwmY1HkTz75ROPjmT9/PmwcbNG0RyBEEjUnAvWvWzdgvg5lp+nTgaQkru2avRr7O5VfXbyo+n8GTBBdPDWayn00Nans5Fq8eDGyyYlQY195ecGWHOCD+0ES7mxUWU8DulfvQ/4D6PUeMv0naAPoiigZD9DbtQN+/53bkJ04wTU8YABw+TKk7Xsh+Xw0TgwejjbHNuKOdRM8tW+KHkGRsJJUwSogBabmPlhZPg2eNw5gzMolWLn3LlpbSTDHjwPxegF6bBJszmZqBOgUfU1O/rxRAJ3uoU6KMy2869ez+zMZNBDmL3RA+aN8jsyBNqdqAJ1qjB44OeHlL74AZTmJXCSw0CO5ov6E1AG6xZ7rqEy6Cen891UAejOr9yGd87YKQJcXPUPVBxMavODy90KbMIoMVKUVsXSt0l9+QVGfPnD1UlowlAD61ClTICNnhgYjYrBnkRGKX0RUjzxnAazsLDCxb6Dio0MbM3FWGURPK+D30lkU9Wmi6Jss1F8B0MvjbqBy8jCYhITBesNpRbsFRgDo1Jiu1G76XSMB0JUrwJdfKj7wxGx/52YarhaUIP7Abialw16XIb3Q5+FNuG7bBlMl5mtlgG5j0wVRUaPY8bRR5XSb18PcXDuDs1wuRXHvJpAPGwi7uVxWCQPoX96AOFcG298JLtffSij1qkrzc+UBavUXS1H6qATVU6YxgP6of3+Ur1qFUicnxPj748UXX4Rrb/86i0tCwocsyt8ogP4sBaWj2z8XgM6+BxE5IMk1TUYszbT51GTKG5aTTwvwvzXfoOxpNixcXBH+3gdwszLDSwPql9L7TwN06ifxVBBQV5gSQFeOlCiXO1y+fBnbt2/HiBEjMGTIEBZlt2hbW5eYkbEJuamH4KULoP/5I+TLPmHPOTJyNCQSf/j5cTXtSUmfo6joFhwdh8HD4x2Nz6Oy8ilSCaBv5oCdYOkqWHU3HKATACu7nwOttegmJjAnNvsakid9b1pp6WOknF0LkwoLuLhPxa7MZ6Aqd9KEn/g0WwHQ2w4IgKjTmxgT4Iom4YbVo+bN6g3hnWjFOyGXV8HERKQ3Q0PfPSv/rvG9qAHo5msXQ2TLpbRWrt2GyptxDKB//PHHKCosxKqxYyGOjMLDmVPgPas1TM9kwkaprOH/EkCnPuqMItcAdLz9tmL4iLn7t99+U/zbf/Q4hB7cA+e8dBzcsRrzFowxHKAfug2RA8XeVc1wgD4Awuv3G7Vf0KfyoJxtpT5v+BRmckiYmZnB1Msa5eP9UHUqHTNjU/RE0JsDMrlegE5jwQc2qseNge1Ubj9Hlvdma4jGvQ3rwbWZb/V5DzQdq60O/Y8//oDHoUPIGDQQg0aNZg49db4Gvj26Z8n+GxA7N9N/OzxAV458awPolPE6c6bmNkkq+dVXgf37ScNX/3WVjtBaApWbCzg4QJszm5EMU1lhDcfHnt27cYaUopSsS5cuuEL7KwDf79gAh2B3FRUhxaGGAHRyEFOknMwIAF1fBo0hNePlNXwMVG9Odedknp6eCAwMxItPnkAQHgbzaWMNyp6q10N7Dgf/B9Cf46Be/OUPtGpemx6pIIqjxYWAKqUzEzBXBuiDBgHnz6OybV9Eno/Aqc7d4L7+W8Ta28Ft+ocIKd8BS6dnsPbIY5uqIufPcPbUDoxdvRAHlm/Dm59MhN15TgtSXlmO4v7NtEbQBQ+TYHuGAPpiyLdtQtqGvggJ2cXOLSy8ieTkJY0G6BqJH2gTSjZwIODvX/sE1AB67ssvI23BAqQFBmLInDnsuIZo5fIAvXnzHSjrFwStAN36A0hnT3ouAF15mv3+2xFUrNwCcslQalbHjh25n5UAurrnT/l8saUlqoiApMbsAoLgOvkttGrhiuFKbM20MXPamgDL289gdSpZMRfYZkMJoNO/yUxCwmG94S9Fu8YC6CwqEENARHMtOl2QauuIKA/EJEpZBOT1VALo5EXffy8VT6tkuL5kYe0a8vIL6HrlBDxJa1TJagH6XNjYdEZU1Bj2ay1AXwdzc+3e9OLiSMiH9lUB6NHRr8Bl+TWIc+Ww/b3Ga1zP74cuVlqeCEW65GuUxxcA77zDPPm/OTgg9Nw5OLZpgybvvsuiqurp8HQb8fFzUV7++PkBdPELKBvXrVGbT331x+qyUhQho+wactDwtjPjKS58zs0Bj6494dl3ANqGu6JrgGGAi2/n3wDQ64ARJYBuQhqtrZwBqVyRxkr3vmbNGsTGxuLTTz+Fh4cHhFZiloXCmzpAz87eh5KSCPj4fKE4plgJoD94MBIWFs3h50dMJsoAfQQ8PFTJlvgGGgvQqR19c0FF+UTPe/bo3IeozjVDpVyOswIurZ8c1DeWLsY0kqQEEAOg29gwlIe9jHcHBMHCwrC007zZfSC8HaW0jo6Eu/skODnVZijV8zNQ5/Dy+DxIn5Wr/n8NQBd+PBuS5hxxWdm3OyG7E4OMUaPw+eefs7VjYnBz4M5dmK5cgPLxvnXeTx6gs8yQG8dh81JtKqumCLouQN/Yfhp6vlbZMQ0AncC5srxWy6mz4LHmC9jFX8bJ03+qAPQ2NhaYpaMGXVuU1WCAPqcfhLceNOobqc95RWNI30nicCEpW+6dTWLEXxQx5Rm5qfRJEmaL4gHNnhtAl784Gnbv16rxsKyzMcNh94FxFHGob9pqsskZQe92xsCBGDR6NDQpHtD5hYU3WLq2ZO8ViF399E/Bo0e59HZlYN0QgE5p37SXoTlrXv9SSY1OO1ofRo6EiZcnzJvb1wGZ6usJOfGeUbmgkg0YMAAtW7ZEfHk6xk4ar308DAHoM2YAiYlcG8oAfeVKgMq1lP9P/8hDVliBshjtEqTUBKn/0NzXZEz5puaduHbtGrZu3YpRo0ZhEOEq0nj/7muYdQ6AYPoUA+7mnz/kP4D+HJ6Btgi6YnK9/x4H0AmY0QRWBuhDhzLiuOI2A/Ho8n0c8mqGgCMHQMnOPp8sQ6vKX2HbNB1Cu1JF1KP0xkFUfTgFpt/9okjR5j5spSge4KMG0L+DROKLvHc7QRCXrALQU9f3RmjobjYixgLoGlOcNQD0qqoqpH/8MbLDw9HS3Bx5Dx5grVyOcU+forp3b7QcP56LFLV2hom4fqRHtQB9O8r6NYfF3muoSLwJ2UfTVSPomgB6cR6qpr/WqAVXfYpRvdyxVn1xztYDVSIRW1iJRZMH6DIrK0x//30WQReJRHjzzTdx5s49mLdozZHD5ap+cCvC/CCZNx3zfNwQbl1bU6MC0E8moHign8YIugKgh4bDer3xATqbi2Uke6E9dVEhr0SLAtUyOTioAPSS+9nYkvCEvTfXv+A2mGJLKwwbPxidjq5Gk1NcOQBvqgC9E6KixrKfagH6DzA31+5NrwXotSnu0dGvwmXZFYjzqhsM0HWx0vKkJRVLvkdVfDYD6JU//IDVFRUY8vgxwoYOhWD4cK06pRxAT0JY2P4Gf9Wqsh+j7MVOGiPorsIhKH+5R6PeBW3kNfwNq9fXqQOXJwWF+HrdOhQlcw6SjouWAgITDO/nB2+b+tWTaQXoj++g4s3Bzz3Fnb0XpF98V4kQSAmg0++M2V5eDZo3ZAQ6358+HU2aNGERVPYeqBHKZWT8hLzUg4oU96SkpSgquq7ibFUF6MNhaRkGX19OB5ePoDs5jYK7+0SNc4kB9L0ja1Pcl62GVbdX6zXv9DG6s/7bm8PM305nKiIB/cdXvkaZrBI5lVJEm7/O9LBl5RVIO3+abeIpLyiWCONmdsUf4WOwua2SY1jPXdcF6MOga2zqNQg1B2uUpKwB6BQtp+8jvRula/ai+v4D3OzQAZs3b8bLL7+MXmamDKBLNnyKkiFNtQL0gg3TYLJ7v8rv+eOCgcoqlRT3fwNAp2GJPnoTj2MT0KN7d5gIaoir9u7l6l2VIuhffvklA6hkgS1awn7Ei/BdNxZNUzKweev/MP+jUYoIuj6Ari3KajBAn90XwtuRjfpGUj90MVqz98LBnLHa82BmxZdf4nHNGAwbNgwvvPACk8sSSORsDyj7Kx0fxBg/gi4fOwp20zeqrLvyUcNgN9N4ijjUOIEudfK8GTNmYFJ5OYK+/BJmDg7MaSFUyqLjbyoxcQGc3voZ5r9dgKlHkP7XkwfoysCa9iVLllB9We359H+6IuiNBOgaU/tpfRg+nELCLOpNvC0ssMEI9apRciuL/T0lJQX79+3Dw0e15QrEcp+cnIwP5s1E+5HdQRlrOo3616ULsGABcPw44OICdOigeoqRAbohzinGUULcOxqY7JUDIMRSf+nSJYUjm5URLnkbJgTWp9Gq8O+3/wD6c3hGugA6S02ZP50D6J06AfQxUAbow4ZB/r+/kB3WHxm372G3pSXCLp3HfYEAzRZ9gc7SXZD4xQFmMkgkASwtsfTGIUg/fA9idYBeXqwAZdRNZR10BtDjk2F7miLoiyDf9hNS1/dCaOgeNiLGAuhssUkvRmVaUe1IawDoFy5cgN3OnSB42M7KCnbFxaA4O71GPpMmwrpDR63ARN8jrAXo21DWLxiSPVdQ+fj2PwbQ6X6r5szBmkIB7t98yG5/4cKFEKxfj7X5+Rj40kvYs2cPKBWJNmCmpqa45yDCFpJO2boHlRevsXOs3V2RlBwDk1lT4dSxE74P9oK9ktQWA+i/JMDy1jNY/RGH4kEBtQA9LAD267h6878DoNN1NJLl1Tw8SmUlnVdGTEKbLyIPXLGCObCkBRVIuv8Evz8tYBtvIstzDG0B/zHj0DTjHnoeWATHs7Up53xpB08SZ23dAdHRHPkdD9D9/ddCIvHWOnVKSqIgG9JHLYL+GlyWXYY4H7A9UZPWpW/yqf2u7OHVdCqlcFV+sxnS+HRkDBmCpytWsPdghlCIkKFDgKEvMFZnAi7qZhSA/iShTp05zSM7uz4wBkBn34OMYsbors0s27gwJ5wyeKWFmxx0R44exe815UChffrBo2c/ZJkBcwcEQyTQLz2jfE2tAD3xFireGqoA6NZnM2sBQj2ftyGHl1F2CZ8hoAbQ1c+n+lKqM+3UqRPeIrIb4vIIsGcbdt4YQE8+AM+POLKq5ORlKCy8pgOgD4OlZUv4+i5lTfAA3dl5LNzc3tDYBWMAdGqY8Y880szcy19YmwY2/U41y3l3sxGZshFVsnLIZHIc+K0EJRnpivuebS7AeUtruA+xR347IW45foAtYT6GPBp2zN8B0NW1zdmFKTU1OlqxmaR3Xnr0FBARgePNmrEa9FmzZqF5Xh5Mbt+ExfblKOrlph2gb5oBk527VQG6BubufwtAHzN8FMxTODk+Wh+9qBxMDaATmerMmTPh6+uLDz/8EJXyamyyrEKf1aPhHpeMlSsO1Q+ga4myKgP0J092ws6uF8zM6nLhqM8VgyeZ+jpBZXD3srWWQ6m3S+NDtcZk77zzDjr06syyrORlhWzdl/+Vjul/F0AfORR2sxpOLKtpzBLPReFZ0hMEB3Nkh6RksmjRIsy3soIvAWcrSzASMVFdBvLExIVwemszzHedg2kTzWSJKtekbLzNm4Hdu0l/jPupMQCd5qxEv4Soer9ZcIuY2JUZ7JUAOh1P3336/pMpk4hS5JgiyLwFBASwoE+pvAKevZsbNi2pz4RRFi7k+k8luZ9+qnqukQE6Na6PWJjvN3Pc1siH0veTSimVFZCWL1+OzIwM5pwjB5/QxhSSeW8C/wF0w57//6tH6QLoLNqxZDYH0Dt3BuhjoATQ5UNHoPRMLHL8A5F37z62lpejfUwkl+L+/lx0rd4J08BomAhEkEgC4ee3shagf79dpV5aVpKPkiFBKhF0P781sLDwR967HSGIT6kB6Ash37YZqet7IDR0H3ssPMGYNnKZ+jw72lyTtje9PJWVlRD/+CO34aUXxc+PRYU+XbQIY589YwCdPh9UBUbAZKWnJ+zGjIGwXQuYBzvWi72dv8dagP4LyvqFQLL7IiqT7tUB6JpI4uQlBah6/5VGe8TrjNdHHyF7wgSMGPQKfB24VGtyRhBFH6+CPnr0aAykMgDyjoY6YGpiOuRSKR6tXAF5Shq6LvkAbcxW47TdZoRZSTDf113lMgygb0uA5c1nsDwRg5KhwbUAvUUg7NdeZMfzAB1hLWCz7pSiDWOluPMNamUrrjmApbmPGcnJDTo5KQA6eUVvJD7FvaIyxO78BQUJcQh5821Ye3mjV0k0vDd/oPJ8qqWVKOrrWcPiPhfW1u0QHc2lchkO0KMhG9JbBaDHxLwO56WXIM6Twfp4HASC+tWV8eNQFvmUqRZoMpGjBPKd+yBPSMZ5f3/YHzzI3oM5ZmYIHDgAJsOGsXrjalShuloOobAWmBFAr6hIVrzD9XlH+WMrMx7WiZIrALpgEMpf6dXod0GfxBjpgJv72zN5Qj5yvHTpUojFYng3a6aoqaONOW3YhK1dIKmJItSnzwYD9NOpz5WpWCXVmzZgRBrKbwyVOpSZmQlibycbPnwYhg7lGHIt27mpfBczMjYjL2k/PBfwAP1LFBZe0QnQrazaKEjikpKWoKjoJpydX4Kb2+sah9RYAJ0a16f/TMeo11zSmlKVVYrKlEKceloIScEu5GXkIv1xCe5eVpUdW2AvRsqQvhB4PUKsVyWGtFiNQEvDU041A3Quzd2YVseBqQbQ2bWIeCkiAnMSElBcUsKyr2yjoyG6dhZmu75TIYXl743e37CwoyjcMgcmO3b+nwHoBw8exJzJM9DFi4ta9uzZE68Qi7ZSBJ1PY6WIMUWOqfxH0NweOVO6oDoyHl8v34cPP37R8Aj6nksQuwXUeazKAJ3Gk4gInZxG1DlOna+gMfND73fyyRMKlSI/IABE9kV1tsTK3blzZ5gTQ7WrJWTFuWzdr/4rHe/rA+hjg9i+VB9JnHINunzMCNh9sEnRTZbiPmII7GZvbUzXVc6ltP0WfqHo2aw9Vq5YwfaO0dHR+O6777DE1RWu8+ZB6O6gseyLGkpMXASnt36C+c4zMG0aqv++eIBOvAZWNUSVBFCJ2Z2InXnTF0HPzwdef51To7GoX3aXYj3OLGHfOIXR+kDXVeIuIiZyyqYgvicyeid+/fVXUFYqGSkBvV2TcWLqZQNTd/0KNuxEug5l+S5axP29e3dgXo3yT04OUF4OfPON5hR3Cq5cvlzvFHe6rCFEiXScIutSQ/Dn+vXr+Pnnn+Hi4oIviNyPymO9bSCePP4/gK7/Dfh/+whdAJ3SMiw2LoZJtRzo2hU4dAiYNIlLIaEas+4vQnbjHpL9A1ER8QAbMlLR/ckTJDVriuBXWsNL8gAWPhS9EyrqBvkIetHnr8H6018VCzDJBZW8EAo+dZ0WFj+/VbCwCETeOx0gTEiDzekMFG35GNXbtzw3gM6/dARMfj90DB6HOAbyR76+GPz++8g8dgwFZ8/CTCDAn3I5A+gd3N1R+c47jARENKQ3zMb2VnhHpdICiES2Bk8iHqAHBW1Fef9QmO86j6qU+5B9xAE7XSzu1WWFqJz6cqNBSZ2bpbShWbNQ7eCEb6cvw62rN+sAdPKEt23bluk1Slo4I7GsAp/FZyiaspYlo1PpUsB7D8a42cNSWbKtxsnitD0RljeewvLYA4W+NdtsaALo4S1h88OfivYJoMs9nFH0+avw8uLINhprJK8kL+eiIurGZC8mjeMcVs7OANUxHTuGkrvZOJ6ei8TkJET+tB6W7h4Ie3samlReRMuKM3D5+aLK8+FLO7gI+lxYWbVFTAxXl6oM0Onf6lF0Iodj72FZHGRDeqmwuMfETIDz0osQ5VWieuevsLfv3aDhoGwSyirRan/8D0hIxCEHB/idO8cA+nxLS/j27QOLj9+CoDAXyWWbUVn5BAEB3ymaiY+fg4qKlMYB9PSYOiBcAdDRH+Wv9TXKu6ASNdYziuXl5aB0RrKQkBC2OSMWe2KzV2ReNOBJ8ECUwAvviadmKtQi6FYnEyAwN5xRvL63wuRl7lL5Rg0PxRtv1G4MlRrbv38/Tp3iHGhUf9mmTRuWxiqyUwWbDKA/3gfPjzk26eTkFSgsvKwToJMTy9ubi47w4+LiMh6urprT1isrc5C6Z2QtSdzy1bDqWr8Ud75rGtUNKis5fhZSuiB+DDWNY569ukIux87MXFg+/AVn9nCM8mRuHbsg6zpHhLTYxQyJA/qgsOUpWLo2w7AWnE60oZanlrbM3oeyYLj7f6CRUMzQdtWPY1H0iJzaqKkWgF569SpmJSSw038kGaRr12B28ShEe7foAOiHUfjzPJhsr90f0Pn5/+IIOt1fWloa2oa3RheP1rAQm+M9R0c0d3PDjZYtcejgQZQRSABl4S6At7c342wQmImQN7Uriu8/xKqluzFn0XiDAbq2NGiDAfqMXhDeizHKN5L6FXvmHiLO32ag296ei5Qq7MIFiqQoyh2IPLQfkezSuhbGKaOQnGLJsHDgdAamRSfrJomrB0CnrCJSCFKvN+cBumTacibdaGpaP14Qbe/OlClTcPXwOfz81UZG9kWOqYKEBEx3cYHb/PmQtPeC0Eazw/zx40/g+OaPMNt+yjDJTB6g79oFWFtzt0QAlZyjbdvW3qI+gJ6XB0yYoBqJb8DHQcWBqQGgKzdJ5ZPzeBBd8wNpnr/00ktsjZO0cNJav13n1qh/xJNFDPDqfaX9K2X3+PoS+Q13qnK9eSMAOjWlLB+obch45Rv6ncrE+EwDuVwOmi9krVq2xJQaqV7L9m4wGTEcGDxYRb63AY/kbzvlvxT35zDUugA6XU60ZhnMSpJhMno0J+VQA9BlJuYo6zSC6aDLwsMRf+kqNhXkoWtaKpK9PdD5JRtInHNg40aeMiHMzb0REPAtiq/ugvyjWcj8MATuX9eyzfKaxgRUeGDi5/cNLCyCGEAXJKbB9q9agJ6yrpuCYIqPoIeE7DZIM9qQYZTmV+D4ur1wodoeAP8j7yZ5xgGEEdNi06Y4JxYjXCSCv0QCwZwPYP7JFAioZp/k50gvXVbO0pUNiexXZcXBRGyGzNKDyM8/DQVA//U0qtKiGEA3PXkTlQPbI/3TFvB2mF1HZq26vBiVU8YZbcFVjBOlDREDpqsrqsorsXjafEx6nINHnbth1wlO75xSuDyJDCTIgbH4llzZA+nyj/BgRwTyqmQINc1ASep8Jh8GmEAuL4NQqFaDXgPQLY7cV+hb1wegy9ztkD7HByEhe1TaNuR5azqmDqM7pX+RV7qGLNBi2TQIJrwCuLkxgC7fc5B5hiOKyvC//fuQeO0ymg0YArdOXdFNvhPW0utw3VA75+mafFofn+Kel3cGxcWcTJ6v70okJs6Hv//3iI//AEQcKBbbKW6V0uEEAgmcncfUAPRaFveYmDfgvPQCA+jYtRt2dt0bNAwMkETkqMoPKrdE0osJCfhJJkPHqCgG0Bfa2cG7Z1dYfPo2MGIE4lb7MoDOc0bQ6fHxs1FRkaoVoMvllRAI6hJjRV0bjKYL78L2dBYq06JQ/mofjTXotq9xJGIE+hprumRk1Ns+evQITtS8E/SbtbU1viHPPdVfu1nCrJlNvW9HKi1WOG0CAzeqpKuWx11H5eThihR3y98fQmhZO0fqfTEDTqAskQcX78B5zx44EfMsH7lROnfVqlV4VFNTuGLFCji6O8GiZd0NcGbmFuTF70XTRRxAT0n5CgUFFxXfTIo+Pzu2EKartrDf6Vtvbd0e3t6cFE8tQH8Frq6addQrK7ORumeUUQA6XbNOFJ02t7RBVqoVZBEQV0tW+sBLN8aUlONqfjFK/lqHyCuc81Li7ILwd6czgrjSyjKsaVKKuGGAQ0972Fu3UNTaG/BY2CF5asRfNF4kvyfr1Br2K/8wtBmDjqMsM5oLzEhfOCZGZQzKT/2JR/sPsG8C1ZQSD4HJ9Wuw+Gs7qvf/pkIKS03Qs46MHI7Q0IMo2r4IJlt/qRtBV5LW4o83ZH01qENGOOjs2bMsKrjz261Y6h4EO5hAnYJsw7ZNsA6rVTLgAfqaL3Zg1uLXDQfoWtKg9QJ0YteeNQt5to8hvP/QKN9IGrrtP2/D8TW70a1LN0wkx7Wy1QB0IhElkjzeSUE1yZJWzgyQ8bKZJqczMJUB9Ar0LX5fsw66AQCdLx/jSWc1AvThg5ExWAqRyA6BgT8YYQYQb/J59OrVC0FOPrj9+xV89ulnGBDZcBYAACAASURBVJWRAT9fH9gvmQPTMO2EryQb6fjmBpj98j+Y+ShFwLXd2eHDwJYtwK+/MslbZg0B6DQnyNmqnCrfgNFgEeWHuVwZlB6AHhUVxea6spHSByl+0DpJ66XBRn0mhwQ5JtQl5Qigk9Y57dviahyjygCdCH6JKb6eJHHK96Y3g6Qmik6OqLLYWmI5KvWgkg8y4qdwcHCoJdalfgwZAtQAeIPH4h868D+A/hwGXh9Ap5fMrDQd4mG9OKZISuk9dgyVQntUdhwI3LiBVCcnJB8/jh1Edg4guZkHOo23gtA3Fs4WtbWWVIcuv38bbt/HInN+KNxX1rLN8h9nZYDu60uEZMFqAH0Bqrf/jJR1XUFa4dnZe/H0aa2WMl3D33+1UUaKWCbzpi3EkyfZ2FtcrADobcRiNKf6on79II65CVHMLQgP7+E+DARkFQC9FNHR41QAOm0qkpI+ga1tD9jZ9VSAkPyRfqh2skfxp6/VAPQtKO8fDrNtf0KaGcsAevXRgzAZPhrpn7SAs2QQTBd8pYiqm245jrKCSAhnf2S0BVcxiIsXc148d6W09GHDEP/BXLz19hzYmFth35EDMPe0UZB5FO75nEnU0aaa0pvLyuKRkDCHpaKamrojPf07lXGhjaTjjkRYXX8Ki0O3UTqqrc4Ud9JGly6ZC2fn0ew2KYIuc7dF+hxf9m9DtMP1TZI6EjK04BBAp3IPsnXrYNqnDcR+zjD56itUbtqtSPEih0VxcTE+/HIFnlTJ4FD5A8xK7sB1Xe2GiCLg0beHw2vubSSvbQ9Prw+RmsqBOWXz9/8O8fEzGECXy8vx+PFCBAR8j+hoqvl3h6fnbEgH90Bhbzc4zDvAykJiYt6E8xfnIcqvhMlv+2Br20Vfd7X+rovNHTUAfVl6OoY9e8Y244vt7eHdswPMF74DjB7NAHpVVTZCQmrlhTiAnobQ0L3Izf0TJSWRrB9kUmkRYmJeUcwPqksWiRzQpMkUxPzVD02+4JiHK1MjWZS8+uhhNm4k2cZH0I0J0BlBWORTrZJr/MDxNdfKAxkeFsaI0si0EQPpezBVVfmIjeXStwMCagkDaZyyrn8Bm4+3sfnTbPpNZH47AH7h6yES1URT9DXegN8rS8oxY9jbeD23APvMzTHns89w9949UI0tMdBKpVLMnj0b0qoqTJo8CW3btlNJ8VO+JAPocXvRdDEP0L9GQcEFmJo2QVDQRigzsPMA3camE9zd30ZGBjEym7AUd1fX1+DiMk5jbyoqMpG2d6wSQF8Fq66Gy6ypN0qbMdJ/Vsiu0eaWUkyVADpFTCQtnSHLK0dFUiEDn2uPnIDQyxuJezahOL8CVJLoPXQkXNq0R2zBfbhVf4+3tiQia4IvzLu4wtIyvA5A5zPNtDmetAF06oPc2Q52+zkeEWMZOTGPbzuIgNRUuOXmQjRzJuMhefLkCU598glIF4a+CWtWr4aFpSXEdy/C7MQOyPfvYYRgPGcCjU91tYxJTIaG7kfxzs+BzZxThrf8l1SltWhdiYwcYZAD3Fj9NbSdkpISbHd2gZvQAu9Wy1Elq8KMD2dj1pxZsOWBVE1jBNBLIx7h8vzm6LwiRgHQZ3u7obUWMkkC4drSoDUBdLMbKRA6NYVFh1EAOc7mzEGedz6EEY+Mtl+gWuvW/uEYHNoLX3/9NSONVdiFC6i+fx8fpaWx7wQ58IRCoYrcmLRGNlNwOgNT9AH0MUH06uucz3z5GGUVEemsOiEci6APG4SMITKjAnRKc+f7vnH9BhzfdRgfREWhT7f2EG7eyBGYaTFyODq8sQ5mW0/AzLed/unGA/Tt2wE+a4H2oVR/TXXYvOmLoPMAXTlVXv/VNR5B38fbey7AbOMmSAcPRmDNflj94JMnT4JKQ8hsbWxQUFjIHDs93xiskGpUnEMyvjz5onpDVIJLZHS0N6PUfnWATgA4IoIWz+cG0Nn3tUKK0ns5Bo/a/fv3UVpagl9+2YbBgwdj5MiR7FyFc+I/gE5P9v/fZghAN6mWwaJvMEwO7FMA9AqRK6o69QWuXsU9ExMUX7umAOhJXu4ImZYHe8dCuJipsi+aPSpkAD3jo1B4rFAC6DUfZ1WAvhKWliEcQH+cDttT6Sja8hGqt29FyrouIACfkMBt6pXNmB51+YgxqDJzQuHAsZi5di16AHgpOJjVmJqO7QvTa6eAyEiOQK8OQC9h9cTK90ORQV5Gi3dAUNTI5t3vUO3ijKph3SG7fgaOy85yAH3r75A+iYPsoxmQHzkAwYgxSF8UDkG5DO7fcNFYWmhMfzqI5PjFKk4Po81sShsitvImSkQz1Nf163Hgxg1GiNOe0ouUrHD/MmDt94qol6/v10hM/BC2tj0Zo39W1hbtAP3gTYW+NdtstAyC/fcXWOt8DXp5gDWezAhWtEEAXepui4wagK6PWM2QsWEs3pSOJK3RAieATl5aIiMho3936AATe3uY71uLyhUbQaA+OzsbJD3Xtk0bvEPjRkyl5YshfvJIDaBXIPrmSKYBnfxde3h6awboxMWQkDCLAXRiPk9KWsyIf/Lzz0EsdoWX14cKgG41cy3s7HogNvYtOC05B1FBJQS/HYKNjRqjqSEDUHMMRdHLIrSw2p88iepHjzA3KgpvVFdzm3E/P9i18Ibp/HeBF19E3GpvVFU9U8giUrPKAD05WbXumEDZw4dvKZ4tScaJxY4ICFiLmFP90GQpB9CZFNMbA1F1cCsDa3zmjZ1tb9i+vpLdvTEi6GzxpTGIyUV1peaSBzrmzz//xAHSo1Uyllni6VmHvbweww9lgE7OGlK2ICsquof0S3PgsSJSAdBTv2oDuYXouYOWcyfPQDRnJXaJzBQ8FHRPU6dOhVgswnfffQ+SyBkzhpMMtGjhDGK0VbfMzJ+R93A3mn7K6TGnpHAAnYyep3J6uvnui3j4dA5sbLrAwWEAkpI+Y9F0DqBPgIsLR66obhUVGUjb+2ItQP9yNay6NCzFnW+bpfrfeQLaZPnY2MDm99/rsO0SCRTVGRO53I2ICGzhCUcB+IXaoMdQD8bi/sRWhAKnfHQuWYT+8yNQNDEApe0cNQJ0yrTSJR+oC6Ab833gx4HSusd1H4GJtk1AlFb0/vv7+SE+IQGUs0MA3Wr+fEaMxhiN7/4Bk/17Id+7kxGCWZ9Jh4lQhPxvJ0IedR/pH3ggJGQvSnYvZ7KNKgBdLWpKDk4C9OplH/V5t57nsQUTJyLr7l1IjhyBk5MTLLTU9hJAl0XG4eycQHT6KpaLKlp1x/KAphBrIZOkdVBbGrQmgG469l3Ign1gv+Eq8PAhMHcu8rzyIIyMM9o3ksaSUpb/3HEMoa4BGD9+PHr37s2cU8W/n0D5zVtYlJkJRRozMVW3IpJNjiytqob00zCAHgjycOlyOPHlY5RVRPxGfxdAp77s2rULr5KueI0dpcD2Cy9wkmiUcafFSMXC4Y21MN18FOYBNZK2uiYplZ3+/DPwyy8cWS2ZNoBOJQU15Vd1miR5M+ITUU6Vb8TLsWzOZ+h9+g6oGHbeDz9AJK7Lwr5lyxbcuHEDfXr3xgvDhiE5OQntXu8DgQbyPNanTZtUg0T8/RF4HzECaNUKoBpuOrZ3b2B2DTb4mwA6m8M5pYzDSp+RA4+c2Lzx7wr9W+HI/w+g/wfQeYB+afdfaOkdUnde1WwqTLuGw/T4rwqAXmbqCVnHHpx+YLu2iDx2AnscHNEm4h7O20vRY2kFmpiJtQL0zHmhcP+qFqDzkkkUCQoLP8ZS3Xx8voSVVRjy324Pk6QMBtALN88HdvyC5B86wd9/DYssqpsxATp72Sn9bv4ClHuGQLbvKES3bkJUmQvR9Mm0K+fSZzQAdPVIILXDp73T3/n+UdTPc94dBtDh7QPhuSswPxWB8v4tYPbzcUizE2oA+j4IRryIjEXhMCmTwX1VLUAXb9yNlIQlKmUD+j4SBv9OaUOUOdGU6PBqjMaF5oYSAYhye4WHVgDfrlEAdB+fZSzya2vbDRYWIcjM3KQVoJMGaNlLXWBzLguFvdwga9kc9t+fZ83XAnQbPJnRXBWgu1kjYy4nSaQMZAzup4YD+Rrs1NRUuO7bB1OS8lAD6MxzffKkYoN+5swZxmw/YcIEdCXuBkrFFcyEWVImXH+ojaDLZKWIvTkGnvPvIPnbdvD0mY/U1K/r3AVxMVD2Af1J5xBAt7Hpymp1xWIneHl9pAGgT4LTkjMMoAt3H4W1tVI9WgMGpOJxAUheqY6dPInyBw+wMC4OxKFNG/SNYWGQBDpANHcqMG4cHq1qBqk0HyEhRCvIWXz8LBBwIiWG5OTlKCy8qniWlJL88OEkxb+J8E4otEZg4HrEnuoHDx6g10iMyQ7vRlraagVANxW6wn3KMXYdYwF0aosipjm3krHow49RWlrKNp9ULyeo8eyvXbsWkZGRLHp07949VoPu6usBIsYhQr2GmExWxpwyiYkc4Y2f32pYWHDEUDk5B5B7cx1zytH8aTbzFlK/bA25tRjBwbtQNCYMoqnzYT1wakMurfecgr6D8It7GG5E1srjKJ9ETNX+/v46a+8JoOfH/oYmn0WopLhTOxxAf4rUPSMYuDbdcgxxZV+wb4i9/UD2HhBhXHHxHbi5vclKPTRZeXka0vePr5VZ+3IVrLo0PILOX2PL+p9wZtMxBDk6YqabGwSUPaXF1u7YichLnOOBbMgrXnBtaoESx8no1cMHImQhIW4qvKffQM6bfloBuiZiROVL/t0Ana596+ZNJMz6Cp7FFez9540AeksTE4Rv3MiinZJgRwiP7GVEVLLdOxhoovRjgak58mrqoclBHxz8G0r3fQNs3KAHoHPObiqbMjGpy4itdwI/7wNoA56ezhFv6TAC6MKoeEQvCIH30khc2rYZfb2GqqicqJ/OAPq2kzDzblWnZY0AfdwUyH2bwO6nm1wpwrx5yPPMZdc15jeSssYGDRgEp3xzWJpawNzcHMTLQYGN8Jr1YdmyZcxhYdrUmkXQeePntjpAv2rxGYqFTTDNywWd7Ljj88cYANBrlIF4Thu5GmP784qg0/1RbTFJzpJ8FtkDb2+EhYVpB5k1g0Brof2E72D602GYB9Zk6umaPDxA37qVI6slo70ZBVWUgyb0f7oAOrHqk9KGkQB6RkYGkvq+iuNm1sgyM2NKHnl5eWzdJGBK2RNEIkp16GvWcDwb5MwkNn+NRve/di3grUHNRirl+D9atACWLVMF6GVlXIo4OSC0RdCXL2eBxsakuCvfsy7uIv44ntmf/zfP08I4nELsYVJayunSk5T1e+897y+VUdr/L8XdKMOo2gg/qDevXEewabM6+o0MhFEiYft2kJzaDsGkN1B97BhKzfxR3bETQLVF7dsh5dZdnO43GHZffobtggS8vtYNHmZiuKpF0M0fFcKVUtzVatB572nK120R0u4o84z7+CyHlVU48ia3gyA5Uw2gd2TpnnFxdTUCnwdAZ/INBMzIi8fXqtACrAOg85Ev5fuRybioOpmPz1Kkpq6GVJpbC9D9/SD86xKEv+yG7M3xzJMqe/qYAXTZ4T0QjhyHjI/DWATdbTVH8EILjWj9r0hNWK4A7UadKiQNQt5VZTBOH8xu3YD58zVeqvDI18DqbxQAvVmzxUhO/gI2Np1hZdWKRTxJDsvTcxa3gFGK+6+JsLr2FJI9l1iUSHTiAqRDe2gG6IE2ePKBOkC3QsZcDrwoA5nGjAWTGruXjZXLV2BwYiKiLS0h6NSJpSOZkje8fTvA3oGbBzUprhQBofoqxlpsa8sIAxPFk2EeW8Ai6JK/YiEQmKO6WoqHN15kDNYpa9qhqe88jSnufPYB9cPbe4miRIIijSYmpnB2fhGSl2awFHc+gv7w4Ttw+uxPCIqkEO/+HVZWFMtquBE4ZTIq6j7NkyeRe+MGlqelYb6bG0xnz4btr7/CItAKghnTgFdewYNl1RCKbBESslNxA8oAna8j5t8T9TpkygagfgYF/YjYk33hsZzT7uUJ0uSH9yM17SuEhR7Bw5P9IHUxh9dsro7fmJtPai8lORnTR7wNK3BkZ5Q9QvWTpNlK1rRpU5Y9QUZstWbehhNEano6GRmb8OwZ52wgo7lgaclJz9A7Y5pczJxyyWvaodmsW0hd3gpyG1OYm/vCdfJuVE94DbaTVjX8wes6k74BGzei2NwaTxLScWD9Lty/d19xxoYNGyAQCiBp7shkYzRZZuZW5MfsQpPPI2Bx+hHS09czFncy9Qi6aMMuJMi+ZeVBDg6D8Pgxp61O5uY2Ec7OHEkb2bNnJ+DoOJT9vbw8Fen7xisi6CbLV8G6ESnu/DUIePQO7IT2Dl5418YGzb6u61zjj138ySfIfvIEzs2D4e5SiradJJAITNCx/2fMeVNWloT4+OmsXvzpG74oae+kMYKuD6Dnz+0HwU0uw4SfI9Qmb8Z+HxQNf/cdSq4+xv2+g1naqoe7O9zi4jDIwwOmc2aDkWo6WwA7d7I6V9murYwUlic15B0LHEDfidL9a4ANXIkUbwyUAQrmbt7ZHRp6CAJB3eyM5zPp69HqrFlARobBAJ0y4yg7iNZ5+/+PvfOAjqJq3/izJZtegRB6RzqCUkRUFBAEQUTloyMKClgAFUSU/2dBxC6IHcWGBWyfighiBxUQQaWX0EJPSO9b/ue5y4TNspvsJhuS3bzvOR5JMnPn3t+dnZ3nvuXG9irxQkqgu8lTdiXQg0bdAVu92oh5a5ODQE+BYXuiWgj3tf29fjMevuV+VSyPptXuWdWsGWbOul/lFwfViwBTQTTTaopoAt1gy8dVWXeirAJd2xko7IvNyBnS6ZyK7UqgD+yLo9cCQUGxKkKrIqyQuwGdiSRy6wU+c2EWyYwd+zxMr32KkFY9S++OJtCZh66FzpdHoPPzGeV9nRRXHS0cOBgvmeOw8cTZnGseV6dOHXCXDxp3NuEOJzTnBZtibZ6J2OSe6ucYi3SSb/v2AMU2j+3VS6Vx4J137Km5tJYt7ekdNC6cxJyp1eJjge6408mRI0dQzzHy9Ezn9+/fD9Zm0YyL2dxeLqRtDRjefh0qdVCzcuTGl34D+e4IEei+Y1nUkiPUDk3bqgIPxUwLy+vSBbr1vyF0aA/YVq5GrqmhEqzpX3yB1BYtoE9Nxw+9+yP80Qfwjn4vbnmlEeqEhCPBVDyLoEig39ummJjUXjx47YgfD2HbthuVgDWlm5D94Ejoj55E9Gp60GcA772riiLZBfqd51CpUIFOUUZvOU0T6KwQyWqaTiHuDOvdufPmYp5iVnXfscPuvWnU6CEcPGjfz1fzoNsuaAHjqrOelqMPtEOD6IlnBPpHMAwZjqOz2kGfb0HC82cFuuHFt3DkwDNIOONV9+mtMneufTXPcfXyTGSBu1XHzBXPw/bU/CKB3qABw7efBvf5jorqhiNH7F+G2lwpgb50PyJ+PwVWp80bcTnyP1qE4OF3wnJha8Qu+EkdX+RBdyHQCxPCcOy+C9RxWoFBX3AoTMnFH8t/RNiSJVibnw++7rIK76yICOi4Ss3QsjMCnVvzcb9ffgkxvJlmiAvB3ryxCNlhF+gscBgdfana+mj3H8NQ/8EtOPTsRajfnB70c3PQmzadj8TEWaotTaBzcSMt7Yei4fEl3FGg7959J2r892sl0E0fr0J4uAdbtpQC68cPv8Xm7/5Am7Zt0LVrN5VrynHvX70ar2RmYm6rVjBNnw79wucQFnQK6NhRFY/691ErYNQX+xzs2TMNBQXHVeG4/fvnoPCvX9Bi6E9K7Dpvm7hzp32LqFat3sTOlVcVpcZoBdI0gd4i6H4U3H4DDj3VWaUN0MyfL0VcnL1asC/tr+/+wGuPLFR1BhytKFRNB4S1dx3W7U0/kpIWITV1VdEpWtQNf6EE+v4s9Rw99NxFalEiae6FsMSYEBzcAAkTP4Vt/M2IvvlJcGHQYPCi6I4nnXR6aUo7noJn75uHxK17wK2krrthCExNos6p3O7Y9PHj7yN169uqrsDBRd3UNoMMWdeeDSwuePjjoUpcZz9+G5KjtyAm5kol0FlAUTPug84wd94/Vmshtm0bWnS/5eUdxJHlI4sEOh6fj6ie9n3Zy2t5uXl45MqxGJSXh//Vr48BA65ROfeOphUCYiV/VvQ/cPwjZOadgK5+IrpfukwdmpPDGh3T7QJ9bFNkdy0u0Jmfqw+Pgzn54DmFER2vlTqjLwwb7NEI2j1yvgQ61qyB+e1lKDyVq1J9uM2aceNPCHprgYqiUHZGoJvfe0MVAo34dg/0oVFIndkPhvVb1Pc6U3lyv3gJWGRPkdLM2WvKaCLWeGnb9lOXBSXLO7flPt9Lgc7IOEYHeSzQ3eQpuxToY+6CNT4Ose9ssafkPfAAUusnw7DzAKJ+tIslX9ubbyzGwX/2oUeX7gj95hvU2/UPTB9/gAbNGxcT5tp18w/+g/yxfaH7LglTdh5GqQLdoEfMsp1uu63Vawg7kzLnvKXa+RLo0Dy87CmjSVwINm0QXJyOGfMsTK98jJA2LhZpMjPPVmvnSczhpvfcMXSez2UuEnd1SGsrzYPOrchY2M+x2Fx5b4hBg2B54AGk126K1W9/pXY52Lx5c7FWmQZw+eWXq/uBuxroggyur1qSQOfuCDfdBLRta9/u1lGgO76vX3CBPb2D5hguT68792H3kRCmEyNvVyp2bPwXL7zwAnr06IFRI0fat2s+Y7/99hve4eLBGePWrI16t7GngTFidZPdwaDMR/0q73SWdr4I9NIIleHvzlDP2VJIE+j8sG/YAN3lPWHYtA5mfQSONW6MY0uXYj2Agd174KdefYHZk/FxWDJufbUx6hj7oEHELgRt3IOci+KgzyxE8KEcxL+6G8entUbCCzuKQtzy9mxAwQR7OHnw6i3YvWMiGjd9DLZB/dXvbMHGcwQ6w5gT/74D1nD76rkuzwKbUYf2nVaUgYSbUzQhOnu2XXAwBIhinEaBztBmLcSdhSomTIC1X1/oQ8KQn30Ie3ZMQtvOX6sPJ6uKFuadwK59t6nT69aaiKOn7DVeG07bCGv9BNhat4RxpT2cm8ZievHB18Dw6DPIX/4Kgm+arPL39bkWJCzYiYg1h5DVpyHw+JM4fuptxdTnXhJ60Dk2jp+VjbSCItrDg3tYajlGXM00mZCxcgEwfx4ivj+AbTuGoV7dO3B030KE1+yCmNjLcWT/c2qumrdYBFNBKLYfvBU1PjigBDrz7vPHD0DeW/MRcsssJdBjnv8BltQklZtOy6NAv/MCtO9o3/Iv48o6KGgQjmMzWkOfbUaj1vMRHtm+2EOxPDdFYXIu8qfPRdoFF+DDPXuw5e+/1VZzW7nI0K8f2h87hvThwzHvySeRlp6OAf364ToW/dDrYWoajt0HhyN4XyZqv7xbCciI+G6oV/8u7Pl9pCqQlTq0IaKHPobDyS8qMavMYgP0QJOmT2D/3gegy7egUZt5yoMeE3YZ0rJ/UfOhK7AocUaBHnbbXMTU7IvEgw8gds7nMCbnI+izNQiLKr9Af/XFl/HTGytg0BvQhAsU06ejcM0a7Pz6a6ytVw+T4+JUOJnp+Ydhyj3rldn2oBnWYH3R59JmMWNv4n1KoLduthgH9z2MGlPeQ9iKbTCExWLrtiGA2Yp2Hb5krCB275kC5GSjZef3kTq0kapMT89bweFtqoK5Zdn7SDqxAM1101F450gV5s2oBNrpJVPQuKl9Sy5fW8GpdHzw7HvISstQoXodOnZUYe8oKICpcSxMDaJY8U7t16t9PujVoSDh84BRQ8YaDdS+5eb0E9CHRqtwXxbM1BmDYMk8jWPLRiHjqgR7FX29Do0bP4ZwI/N5o5RA12p6cIGn4b2bkPRoR1jigmFCbdS58yvgtomwDRiAw3vmou3F9ueQz4zPxkWL1O4OqoAPF2yys2E1mACbDrogQMf8QO3ZkJUF25k909kP7mCQnLkap/9+VQkTpjdFRHZC9sk/1V687dp/irysRBxdPho1396H4/e0RkG9METH90VcjX7Yv/0+2Ex6xUWXY0azti9i7/7paJrwMPYf/j+07fQ1bIX5yEnZjBOr70Ott+xb7FgfeQgxveyF+8ptJ05g9fsfIeLd77BYpwcrFMTXrYvLLrsMV/TsiU1bNmPTpr9UysOYUaPQ8/LLcerUcuSG/Q5LrSy1iGAtyENuwX4k7p9pF+ijmyC7ey2EGpqjScM5sAQVIO/qjrD06o7Q0bPVPc9nPM/j/ULjdwuZagI98oej0BkM+HfzQJX6oBnzcbkNH/O+fWovvAB8/7198ZrfEfn59txY5ubTy8eQTc49q0R/9BHM77yKnOs7w/T6ZwhucQnSHhoEw7o/cXBhF7Rq8y5yv3wdWPj82SJyFjPSh7QAgk0q79ianwur3owdO0figrovIii2oRq/NS9b7YbC8TEHmYXC+FlRj9OMkzBExNk/b6lHYYisqf7tMzvz3QeKKBZI4zvDoUP2/ODQUPvvaHwmnPk3nwcZMwaqUHMtqpACPcrYDrqgEDVXnGdrTpq9vwYjtB1vGF1nrFkf+rBY6IPD1PPEEJ2ArH5N1Xdm9NPfYtvOG1Gn7kQE3TwVtpgoxLz/jyqYZZv9ANLqJcOw97DavtanxkVLzjXvAzKh0cPLe4Hzz1x8/o33RHAwYDDAkp2KQj7Pb78B+N9WTNt7DFajEX1S78B2TMCR6M6Y1LgeLso5DGN8M2SM6AAY9Ih690/oTGFq7rmPOudXfcbzshQzFpvVFvytg69BzL1vg8zJNqtvI1guvRhH/xMOU1ht33vQ+V7EZz//u/FGOwc+LxmJyHcobovGZyaNIjMkBIcOPYOYMU/D9PKHCGl7lbqHmR+iDw4FtDB07TOWkWH3tNIb/Nxz9m3EuH0tn8taxCfvNYZ5jxxpL17MNByH+4/PazVXJ0/ad2jysUBX+5Jzf3KzGQUH05CSmILPPv8cQVYrudr0TAAAIABJREFUOnfvroot63JzENy+rj0NjGMiF94fZ7YlVPcI3z8Ztt+pk/2zw88Yf3/mOwfDh9MdDzz1lH38V1yh6iyAWzue2RYajgKd4fJMCeDnklXc16+3v9f76PvRZrHh5F8HsWDusyrqjssOTz7zDCI4trw8TJk6VX1XcPa5A/zLn7yJqOa11PuO2r9dW0jgvSEC3aePpwptjBUimeO4ePFiMC+WBYgmTJgAhkgwr8NbcxbolqwC5G5LOduMJtD5IeNNzLBm5p3zvjlyBI1SUkB/x+BWrZFnseHoL19gaUQmHkkoRHBQDEJsmd52qdzHh6/YDkOEm1wWb1vXBLoX52VknA0p9OI0nx4a9OK7CO3Amvo+sDIwyMnZrfKOK9t8tu1Uaips48YjP6w+8nThqggSveWujJ9DhisFGW0oyN4D4+k/oFMKq3LMNGcBQvrY0yrKY8wfSx80BvtT+JVir7yqNxhUbllC7dqIp1BjQbCMXdBb7Hv+0qrC54EvH1Fj55Vn+GfP5Rco8zjPmMUYoQpJWg3B0FnNCMpPhrGweKGY7JydsJgzfHP9crTis8U7ehzoefDC+AnIrALPRlw3BFH3vOZFz0s49MyzsSCkNk6bw5G4f7/LgxnI26pVKwSZTCjM3Q/9yR+42aRv+lDGVnx2L7BC8pmtgjztSl7+YRTkV4zn1tM+8DjWOwmq3cybU1wfqxWq8qIlq82MrEx7pE9lmm76fYgcMsM3XXD2/nnQamHhabXLi6Olm88txhllNLCUQYWZzz4PGzbYi5V5YdzBIDPTwWvqdG5IaBOYgmp50WIZD6VXlwvt5TUKbYcieVpz/K4sCImHzRAMWC0wWHJgzE+BwZJb3iv69nwfieLsmyZh+4FTKCwsVIWlWUCT74db6dRzsG5NwmAwZ7sew8svw2Vov29HXO7WxIN+pkouc/vGjx+vQicYKrFkyRJVPfclhyqxntJ2BTVvTyrMp/OUVyj36adRKz4ehssus+8VyJUqroICeCc3F5327AFvtT5nBPrBVW9hc7gOo5vaYDLGIBTnCnQWtios5P7oFWM++9Jl98ogTquCILGFhyD6G3tebLmtDAyysv6G1Zpf7kuXtwGffekyNIsruHSAmGKQG1IX+YUWcMFs3759Rd2Mr1ULCdp2dIXpsJz8Bjpz8TDo8o7J2/NNb/wPIS3PVJ739mSn422DBuOErTYSk4rvL96mdWtVqVVvzkVYZvGiYfn5R8D/Ktt8di+U4fNQFZ4J5O8zBn/+ad/Sxgtj6HlWVvEQRy9OV4fqdEZVu6EspjeEwWrJQVjXm2B82jd7HhcVEaUTLKIpzIZwZOfkICUlRW0nxTx1FsqqW7cuItR+8TbYTnwLW15SWYbg03N8di/QQ+y0e0FpHc3NO4DCgpOlHVbhf/fZuwI9evRSemFVRaAb5i1E+KWutyj0Yjj2Q8vwbMzO3g6Lpfh3ZJ7Vinzr2UXtIJ0OYQYfRv+4GJjPPg9aXrgX8JiClJ1dXLQ5nh4cXB/BwXW9aLGMh7qrlO5tc/TMUyv4q/lIoPPzkBnaGNv3Jal3RZpWODEmOtr+rmgpQGzePveLT1rERBVnWe0F+r///ouOHTvirrvuwoIFC4qma+rUqWAFYW750p6FErwwV1CtuWa17++yj5fhgjVr1MpPozFjEMoQd+7pe2Yh4MH9+/GfzEzwlWuAEuhW7PtiARY0boK34lNgCopBtCkSBfnFQ6hM9dvDdvJEhX1Bu6tu6gWWs4eW4QvHpy/jDPUpw2YD1hpRiPlsT5mGfM5JZWCQlfWP2rO7ss1nX7p//WXfW/SM2aCDJSgKeRGNVXhpckoKwsPC1F6/NGNBKowZu5GT/U9lI3C7X26ZOjZoEKx6E04Z6uPQocMoNJsRGxurInnUl09mIozm4otyBYXJyMtNLNPlvD1Jrw92uzDks3uhDF4inz4TvIRiNMYURbP4jIFjmosX/Skvh5Lmt7RuhIW3Rk72DkRdcTvAtB1fGMNCGR56xgpNccgPd1HIiIsLNiuCsw8hL22dWiiobPPZvcAc2DP7GXs6psLCVOTm+uj7ydOLujiOFb4NUe73pfa4aS2H1+MT7AeW9/Pg5eVcHh604G2EXniNL5oqk0DPyt7q8vNQYLPBbLXBoNPBxDQW3/TQbSs++zxwsYqLVl6Y2ZKpnk3u7LwJdHeV0r0YizrUMe/e23OrwvE+FOgcTqo1EjuOFF+E0pwawTlHVNSdW/NVXyqYa7UX6A8++CDmzZuHxMRENGnSpAg3KwJyn9HZs2eDW1h4Y+6gmlNykbnzFI48MBsZGRn4HkBvADt798Z1SUkwGo34tnFjNFixAgzSGtiyFXIKc7D/y1cxt1lzLK+VrAR6bEhN5OUWD/sLqteWewRVmED3uAKmJ6C8FKe+DuMsq8fIWq8WYj5ghrQPzEsGvKK7L13H3pR1bN6MyGdfuizaQWHmZDadHgWhdZVYt+kM0FkLEJR3Sm3DxwWK7KzKF+gskmOs0dAbbO6PPXMvMFQtI7g+0tIzEBcXB6Nej6DcYzDlnzrnXG6bxq3CzoedF4HOnDVGE3lhlfkizj3kWbCS5rPPQxk9JOXlUB6BHh7eDtnZWxHV5057ESVfGCu3cyeTc54LBpiDomA1hAI6PQyFWTCYM6GzWRBwi5dlEejmNOTmuN6ezxfT4mkbkd8f9k0eelKSfTsnL628nwcvL+fycC3f2RdtlcWDXjU+DzpE/eyjavZu3hVK4sviwTk5ZwqYuTjwvAn0Z56BytUur9GpxLxxfzVfiWKHd+d8BGNvqgHZuQXqnYne86D8FJhykkpefPJVXyp4Lqq9QO/Xr5/ykh8/fu6DpHbt2mCV2G8dy/N7MCElQbXmmXHyxklITDoJ1hFmRjM3XdM2NmPF5tA338SPGRkY0KIlsnOScWjV+3igaTN8HZ8GkzEWNUJqnJNfZGzcAbqj9KAXD5N17K5Ob4LN6jrHt7RhVeaKsM1mRWbm2aI8pfW1tL/rDeGwWtzkppRwsrVZffuWKr6wMgn0baX2W28IhbWCc498JkhYf4HV7L0wi4cCvTz3uifd0Sole3Jsicc4felyQYIihEVsDOYs6N18Xs+nB91aMxr65OL539qYfHYvcN/WH85W0PeEa2bmX2UOzfak/ZKOCTLFFy2G+owBw/VYBNFLK68gKe2Zwe0L3UXuFAn0Afe43R7Sy+EAbgR6Se0EXPoPi8ExrNcLM1uykJO93YszKuZQn30e9u4FWLXdSyvv58HLy7k83G3F8LI0XoZ3hcysLWV+1ytLF12dYzTGIux79xXhvb6OlxxKiyg5bwKdDj7uJ+4L85KBLy7pszZ8JYqdGNChYzFGKmeO3pIDg0OtHpd9r1XLXmzTD6zaC3SGr3Nro02OJfjPTFznzp1VIQKGwbsz7j2o7T+oHcPqsrfeeivef/99tSehsx174QWs/fY37Iipi+aAyjfvxr1IAaR1747LYmNQWKcuDuTkI3v3Bvzy+VL8klAH9/fsgeiOHdHVZoPlwguQ+8486Lv0hGXLOgQPmgjjh18ip2YWjDlBQGEBzDEG2Fg0om0X6D/9CsFhDZAVcRy60BAEn9AhP8YMFOZBd/AYrPXjVTVT3aHjsDaqDZ3FAKMtHDajDabYxtCNm1BUzbPc9zWrtjO/jEWhmjWzV3lkdUlWImWYJ6tIshIki8Rwi5/8XGTn7QLys2DjNlymYOhyCmDLTIUuOR3W1k2B9AzoT6bC2qgO9LYQ2JIOAHHRsAUFQVeQD+QXwjh+Kqzvvq6qb2fhAHTZeTCZI5AXmw9YzNClZcJWpzZ0KexDMEy1WqHglP2FR5d0EoZpsxHa7qpyD181wPDuX3+1V2OmSGMRERYBYVFCbtnCBzo9aikp9oqgrFCdfRw4eQq5CVboM/OB9HTYWjaHLSsNuvRMoFYNhObHI78m1PYYlk1r7QzZfm4u9IV62MKDmLEJhAQDObnQNWyk5sFmNCDoRDbQrBUKdWnQ79oPW8KZooCcmyATEBHO8ueIHGnPGy+38R6gpygx0b6dx5EjQFoa0Ly5vWIxK9KGhNir1vLeKCyENSYa2VlbgCNHYatdC7pCq5rHoAbtYEk/BrMtC4b9x2Bq2RW5OYl2LqHB0IfVgCHLgsLTB4AGdYHTqUB2HtCmhf2eS8+GrWEdICNT7Q9uCq2D/NxDqpo1Cgqhyy+EPiIOhtAaKNClInL6K76p3s254efh8GH7PHG7GFbsZbVaVkQ9ccI+h/x3erqdx7FjsBXkIyv0mMq10h1PgbVRXehzzOpv1sZ1oMsrAKKjERLXBgWt6sK24n+w6c1AjTiYo4KhSz4Nek55rbxLmyA4qQD6xMP2MLqWLVSlZBur2adlwnjznTB/9QH0uTZYM5JhS6gJXWo6cEkPRN4ws9y3gWqA9zrTHRjFxD6wUrNWEZb3ApnwZ1pqKjd+hSX1FHKOb4Ctbjx02TlAbh5sDepCl5IKWCywJdS2MzMXQte4CWxJSdAlJCC4dS9Y1nwFc1AeUGiB7mASrM0aQJeVg5C0YOQl6NT5+lwzLNEhCOo1CPj+BzUPZmMuQkMvgP50JnIjM2HR5yHy3td8cy9wbF98Yd8Ohs8DCnam41x9NbjdlronWGWX/5EHOdWpg5zkLbCkHIbudCasTRuoz0tQshlBDdrCYsuELS8PttwMmMNYUS5TnWtrVF99NnQp6QhpeZm619Xc1q+j2jEWGGGs2xLmvGQYrSHI1Z1AGBoi99RfQM04ICoaOJmM8NB2KNi7ASEz5tsrHvvCWH9i2TL7dwD32d2zxz52Phv4vIyNtVdR5j3DIop5eTDv346c2vnQ60KAtHRVpMxakAUuxubmJ8JgjAIK82ELC1GfszBbA+TWZ95MEGz790CXnQukptvHn5+vnve2mtGwRUVCx2vx8xQeZp+TvHzY4mvavyc4B7E1YbMVIHj0fQhu3NEXBOzfD6zQzblmhWU+A85UpVYMyIP593w28l6Ij4ft9GlkF+6FrXasep7wma47nQaEmOzfqVn2FABbbBSQXwBdchrQpAFsej10ew/AVi/e/qxLSYOtTjx0HJvBAJvBAF1GJmycD4PO/gzKL4QuIwO22vHQ8fNYaAY6doa+bkOEXzHGNwwY4s4wf46b+0jz+5E8OH5Wbua+z+wjn538zuBxSUnIqxuCwpzD6nmAICN0umBYQ/WqgJYuv8A+3vQs2OrWBkJD7M8I7t+cnqHGycrVtsMHoWNRtVZtYEs6yPA1da4uNRPW5o3sY07Lgq1Bgv1ZkXQSVn5/mM3QFRQibPbrMIRF+4bD4sUAFysoLDhGznf9+vZ/8/uhUaOznwfu2806Dad2oCDWCl1aBmz8DqtbD0g9DV12tn0e+TtVuTsLumYtgP2J9ud9Sips9RLU+6PuxGnYoiOgM/I90gYdn6mh9grxulOpsNWuad/t4UQybE0aQcf5sliBxk1hTM5D6JDbfeM51iiyUBwX9fm+yGcB70Nux8rPJ+eDO+Iw6qJHD2D5cvW8y7UcVGNU7zvMv+fnKCsb1loxCDc3gtEWZN/qlvcW7yNu8cr0Gn7n8NnCe4zX47/5LsZr8h2Nz2VtO1AWsWQVeX4meS6fg/xcskI8v7MmTbI/y3xhvBe0Zz/HqkX9su+8D/g3/kcu2vcHPyt87vMzxHcMrQo9+8R3S46V70B8B+NYyOjgQXsRNR7Pv/P9i6a+T832Y/lv3pfsw4ABAEP5L7nEzonPZt6vvD/ZF7Y5YYIvCNi/D/hc4Lg4Rs4dx873RY6DmoIOV/7M+WM/2rSx943O1mHDzo7HNz2qsFZ27NiB0aNHY+3atbj00kvLfR2djRvW+ZE1a9YM9JSzMJyzsWDcyZMnsZc3oRt7+OGH8YiXhX38CI90VQgIASEgBISAEBACQkAICAEhIATOMwE6e7m/fXnN7wR6RXjQk5OTwdD5n376CZFc5ammZjab0a1bN6xfv17l11dHEwb2WRcOwkDug7NPQPk8yOdBPg/yeXB8J5JngjwTtPtB7gW5F3gv5Obm4sCBA0pP1tQiCMshpPxOoFdEDjrD4hk2zz2dWa29uppwYNST3Au8/4WDMJD74Ow3gXwe5PMgnwf5PDi+G8ozQZ4J2v0g94LcCxWhG/1OoLNK+xNPPOHTKu7cm++xxx7DnDlzYGC+SjU14cAUGbkXePsLB2Eg98HZLwL5PMjnQT4P8nlwfDWUZ4I8E7T7Qe4FuRcqQjb6nUBnBXdWane3DzoLvnXwVQXGiiAubQoBISAEhIAQEAJCQAgIASEgBISAEHBBwO8EOscwadIkvPbaaxg/fryqlLdu3TosWbIEt99+O1599VWZaCEgBISAEBACQkAICAEhIASEgBAQAn5HwC8FOgsyPPXUU1i8eDGSkpJQv359TJgwATNnzqy2xc387s6TDgsBISAEhIAQEAJCQAgIASEgBIRAMQJ+KdBlDoWAEBACQkAICAEhIASEgBAQAkJACAQaARHogTajMh4hIASEgBAQAkJACAgBISAEhIAQ8EsCItD9ctqk00JACAgBISAEhIAQEAJCQAgIASEQaAREoAfajMp4hIAQEAJCQAgIASEgBISAEBACQsAvCYhA98tpk04LASEgBISAEBACQkAICAEhIASEQKAREIEeaDMq4xECQkAICAEhIASEgBAQAkJACAgBvyQgAt0vp006LQSEgBAQAkJACAgBISAEhIAQEAKBRkAEeqDNqIxHCAgBISAEhIAQEAJCQAgIASEgBPySgAh0v5w26bQQEAJCQAgIASEgBISAEBACQkAIBBoBEeiBNqMyHiEgBISAEBACQkAICAEhIASEgBDwSwIi0P1y2qTTQkAICAEhIASEgBAQAkJACAgBIRBoBESgB9qMyniEgBAQAkJACAgBISAEhIAQEAJCwC8JiED3y2mTTgsBISAEhIAQEAJCQAgIASEgBIRAoBEQgR5oMyrjEQJCQAgIASEgBISAEBACQkAICAG/JCAC3S+nTTotBISAEBACQkAICAEhIASEgBAQAoFGQAR6oM2ojEcICAEhIASEgBAQAkJACAgBISAE/JKACHS/nDbptBAQAkJACAgBISAEhIAQEAJCQAgEGgER6IE2ozIeISAEhIAQEAJCQAgIASEgBISAEPBLAiLQ/XLapNNCQAgIASEgBISAEBACQkAICAEhEGgERKAH2ozKeISAEBACQkAICAEhIASEgBAQAkLALwmIQPfLaZNOCwEhIASEgBAQAkJACAgBISAEhECgERCBHmgzKuMRAkJACAgBISAEhIAQEAJCQAgIAb8kIALdL6dNOi0EhIAQEAJCQAgIASEgBISAEBACgUZABHqgzaiMRwgIASEgBISAEBACQkAICAEhIAT8koAIdL+cNum0EBACQkAICAEhIASEgBAQAkJACAQaARHogTajMh4hIASEgBAQAkJACAgBISAEhIAQ8EsCItD9ctqk00JACAgBISAEhIAQEAJCQAgIASEQaAREoAfajMp4hIAQEAJCQAgIASEgBISAEBACQsAvCYhAB5CcnIxVq1ahcePGCA0N9cuJlE4LASEgBISAEBACQkAICAEhIASEwPklkJubiwMHDqBfv36oWbNmuS8uAh3A0qVLMXr06HLDlAaEgBAQAkJACAgBISAEhIAQEAJCoPoReP/99zFq1KhyD1wEOoB169ahZ8+eINTWrVuXG6o0IASEgBAQAkJACAgBISAEhIAQEAKBT2DHjh3K2bt27Vpceuml5R6wCHQAf/31Fy666CJs2rQJnTt3LjdUaUAICAEhIASEgBAQAkJACAgBISAEAp+Ar7WkCHQR6IH/qZERCgEhIASEgBAQAkJACAgBISAEKoCACHQ/gFoBXZQmhYAQEAJCQAgIASEgBISAEBACQqCKERCBXgET4muoFdBFaVIICAEhIASEgBAQAkJACAgBISAEqhgBX2tJCXGXEPcqdotLd4SAEBACQkAICAEhIATKQ8BiseDEiRPIy8uD1WotT1NyrhCo9gSMRiNiYmLUf65MBHoF3CK+hloBXZQmhYAQEAJCQAgIASEgBIRAqQQozg8dOqTEuV6vh8FgKPUcOUAICAH3BAoLC6HT6dCkSRMEBwefc6CvtaR40MWDLp9HISAEhIAQEAJCQAgIgQAhcPToUaSnpytvX0JCghIWYkJACJSdQGZmJpKSkhAREYEGDRr4j0AfO3Zs2UcN4IEHHqi0Pch9vepRLhByshAQAkJACAgBISAEhIAQKCOBxMRE0OPXsmVLEedlZCinCQFnArt37wZD3Zs2beo/Ap0hNGU1rux99913uOqqq8raRLnOE4FeLnxyshAQAkJACAgBISAEhEAVIbB3717Vk+bNm1eRHkk3hID/Eyjpc+VrLemzEHcK9Pfffx8jR470agaSk5MRHx+PNWvWiED3ipwcLASEgBAQAkJACAgBISAEihMQgS53hBDwPYFqJdBTUlJQq1YtEei+v4+kRSEgBISAEBACQkAICIFqRkAEejWbcBnueSHglwI9Pz8fJpOpTLku5TnXFzPi67AEX/RJ2hACQkAICAEhIASEgBAQAt4SEIHuLTE5XgiUTsAvBXrpw6q6R4hAr7pzIz0TAkJACAgBISAEhIAQ8JxAoAr0tWvX4v7778fOnTuRk5ODRo0a4fbbb8f06dOL4Lzxxht49913sXXrVvW7iy66CPPmzUPXrl1LBPjaa6/h5ZdfBtkFBQWp7bSGDx+urkd7+OGH8cgjj6Bfv3749ttvi7X11FNPqeOuuOIK/PTTT0V/O336NB599FF88cUXYGX9GjVqoH///qqdhg0bFh138uRJzJkzBytXrlR718fGxqJjx47qmpdcconnE+/FkZ999pniwvGyoGCLFi1w7733YsyYMV60Ur0O9WuBXlBQoGaL3nTNDh48qD5EVdVEoFfVmZF+CQEhIASEgBAQAkJACHhDIFAF+ubNm5U479ChA8LDw0HBToH+/PPP47bbblOIRo0ahUsvvRQ9evRASEgIKJ4pRrdt24Z69eq5xPjmm2/i7rvvxsKFC5XIZmTvP//8g+3bt+Oxxx4rEuivv/46mJq7b98+1K9fv6it1q1bqwUDinpNoFOcd+/eXekh9qFdu3Y4cOAAHnroIezatQu///57UTXwyy67TInkJ554Qv2OIv37779X4xw4cKDLPp86dQqRkZFqjGUx9jM1NRWtWrVSffz666+VQF+xYoVahBA7l4DfCnSu/Nx4441q5emZZ57BhAkT1OhYnf2HH36osnPta4FuTj0KndEEQ2TNKjtm6ZgQEAJCQAgIASEgBIRA4BFwFhJWmw1pZkulDjTGaIC+hP3Y6cGmt/nw4cNw3Blq8ODByqP8zjvvuOz/0KFDlVh/7733XP7dYrGo8xctWgR3W0IPGTJEHbNkyRK3jOjNpiece2BTeD/44IPq2N9++w3XXXcdbrrpJiXoNYE+efJk1SfOBfei1yw3N1d5q9u3b6885mlpaeraPI+LA54aeUybNg3/+c9/MG7cOJ942jt37qwWBLRFCVd9WbduHWbPno2NGzciODhYRSZ89NFHagy9evVS4zIYDGq+KPzZFhdN7rzzTnzyySeqMDjn4pprrvF0qFXmOL8V6Awj4Q1rs9nURFCgc2KuvPJK/Pjjj1UGsHNHfC3Q0167G/pa9RE1dGaVHbN0TAgIASEgBISAEBACQiDwCDgLidOFZkzdcahSB7qgdUPEBRnd9oEe5zp16uCbb75B79691XH08FLcfvXVV7j66qvPOZcedQq9uXPnFjkFnQ/KzMxUonD58uW49tprXV5/0qRJ+Pnnn1XouruIX02g//e//8XMmTOxZ88e1Ra1TkREhPr3li1blNC2Wq0qnH3YsGHgwoOzMbScnnTuZBUVFaXELduZP3++Er2emNlsxqpVq1Q4/5dffqlC5rkAwf+4iOCNUbfRkcrFEC5C9O3b1+XpHB8XJ2655RYVucA9wanvmApQs2ZNJdCpqciHCwcff/wxyIse+euvv179ndEOy5Ytw6FDhxAWFuZNNyv9WL8V6Jdffjl++eUXBZBhHJxg3nC8gaqTB10EeqV/hqQDQkAICAEhIASEgBColgT8UaBzouiJptBjyDmNIeUUeElJScorqxnDyxniTZFK4cz8bXd2xx13KB3CnHR34eDHjh0DPfF//PEHWrZsqbzRAwYMUFHBmjdfE+j0HPP6FPx0THJRgaH2b731VpFAZ4g6FxYoRunldrbPP/9cXW/9+vXKA/3pp59i4sSJoHedXmx60il6GeLuiaWnp6v+UKzTo08hTK86+x8aGuq2CZ7HsH+G9JMvc/Apvt0Zt9KmsOZ4XRmvy4iFX3/9Vf2Z/46OjlZjZd9ox48fV8wY4k+x70/mtwKdOR8MfdCMk8ibjDcAV8aqqvnag57+6l3QxTcQD3pVnXDplxAQAkLATwnonEJE+TM9MAwr5AvZrbfeWqbdVMqCg54iRsjxum+//XaxJvjyzHzG7777DiyARI8Sw0dvvvlm1T96qbiQLyYEhIDvCfirQKdnlbnkFLj0JFNDULBS6Dra/v37kZWVpQT1rFmzVMj0iBEjzgHJ3G96pfms8kTsUsTTk06Ry7x15obTq06Rrgl0epH5bKOuYf947T///FMJcc2DXppAZ9s33HADNmzYgC5duqh+5+XlKWFL4cpr8m+LFy9Wz0xvjOeRRWJiIrgQwPB9d8bnMo8jS+a8M+qZHnQKbVfWpk0bFcrPIneujOe1bdsWL730UtGf+axnVPWMGTPU7+itJ8///e9/ymPvT+a3Ap0TcNddd+GCCy4o4r179261cqJVU6yKE1ERAl2f0BCRQ+w3o5gQEAJCQAgIAV8Q0AQ6RTGNHgoWLOKLKl986HX58MMPfXGpUtsoSaDzxYthqXwp5uJz7u2aAAAgAElEQVQBQyEZUdezZ08R6KWSlQOEQPkI+KtApwe5du3aasGPwpXijh5reqrdGcPbmevNwmuOxlpY/NuaNWtw8cUXew2UXmIKdEYAcyHSUaCz4Fy3bt3A4nDjx4/HlClTigl0LcSdYpZRAM7mGOIeFxfnsm98XnKBk4W2SzOKez5vyYHivlOnTmrhlBXZWUjOU+M1WQOAEQeujPPANIGSBPqFF16IF154oej0xo0bKzaOkQT8Hitt8cDTPp/P4/xWoJ9PSL68lu8F+p3QJzQSge7LSZK2hIAQEAJCoMg7TjHuaHyRY0gmQz75ouYu19KXCFm1mJFyDGFkyKJm3M2FuYXMg+TigWPBJx7DKswsJtusWTNfdkfaEgJC4AwBfxXo7D49xswbpwBm2DifFyUZvb4MiXeMyHn66aeVOKfQLGsYNT3kzCPXnqeOAp39Yf9Y6Z3h8TExMcUEOv/OHO2lS5eWWiTO3diee+45tQ0a89RdGb8DuIhAUc7IA+bBjx49WvFjZfayGCOw+Mx23CrOsR0uRjD3vqQQdxHom1TUR3lNZ3P+li9vi354vs8F+it3QF+nsQh0P7wXpMtCQAgIgapMQPOgu/rqZu4gw8j5ksXQyMoyinZ6vpz3BK6s/sh1hUB1I+CPVdy1OeJi46BBg0DPKwUni6lpxtBpFkPTBCiFIj2zjN6lIKcxrJ056R988IHabk0zClitmJvz/cCK63Xr1lW7TjG/nKKb7TFcfMeOHUqoOwv07OxstTUaxTnNMcSdP1NYc3GAOeDaNmsMzXfeZo3bttHTzuc3I47o8WbIPMfEiupaPr5znynMuQjA4mv0lvfp0+ecxdCS7ntu6cbIAi6UclGVxfm4l/srr7zituAeo6IZEcXvGBbWY5V2Folj/7UicSLQ/UCg84PD6oV8UHAlyvmFgi8aziEplfEQFYFeGdTlmkJACAgBIeAtgZIE+osvvqj28mW1Y3qOuH0PX+K4vy29UCzOwxdUho4yh9JdpV6+dL7xxhvK+8NQTr688aWVgnvq1KlqP1+aqxB3vlS7Csl0zDkvKQed2xTR+8WwUvaXL79Mm2O+Jq8tJgSEQOkE/HkfdKbtMPqGIpneXO4LrhmfcdQVFLpMm6G4ZHE1ClUtUsfdM4jF5iiyXRmLtNFbz6rwFMwUmywUx3MoSGnOAt25HWeBrol0bh3HvG6Oh0K/f//+ajs5LjTQWKCNba9evVqNl89fjp+il9uZuSvydvToUfU8Zw2SshgXClhlnQX4eA0uevAZy+rrJRlz9NmvTZs2qfMYScBt1visZg66CPQqLtBZNIETzQ8QP1zaCpPzpLMYQmWbCPTKngG5vhAQAkJACHhCoCSBznBIbnVK7xO33WEuIrcg4sseKxPzpZPebear0+hld67YS68Qz2GxIr78MQeTHh2+EPPlle1rL7muBPp9992nQk35wstcUr6M0nht5oTS3Al0ViFmziRfWFloiC/GXNxnDRu+jErAnyd3iBwjBKAcY7TmzZsLDiEgBHxEICBy0PlCwC/nFStWqP9XZfO5QH95CvR1myJyyH1VedjSNyEgBISAEPAzAu4EOsUrwzm56E0RzfBMimp6bXr06FFslBTaDOVkIaMjR44UC/tkkSCGVLIoEgUzPT6a8Vh6tbWCTe6KxFGgN2nSxG2IuyuBzrxGhnfSe/b++++r/YM1Yz8Zfnk+8ur97HaQ7goBlwREoMuNIQR8TyAgBDpX3hmmxryOijaGwvXu3Vtdhl/y3q4YVohAr9cMkdfdW9FDl/aFgBAQAkKgGhFwFugUtNwmh95zVj7m1kQMSy+tABvDGx9//HHlaafHnUYxz8V15hUy15Bh7SWZLwU6qyAz95G7wTCMVUwICIGyExCBXnZ2cqYQcEcgIAQ6V+dZHIEvDRVpzI3r2LGj2haAoXki0CuStrQtBISAEBAClUnAeR90x74wFP2dd95RRYM0o4Dn/rbc15feb27HQ+N3JX/37LPP4p577lG/Y1GlUaNGqXzvTz75pNRh+lKgMwSfffr333+LctxL7YAcIASEgEsCItDlxhACvicQEAKdXmlWH+TLAgvWVJSxCiH32xs5cqT6vwj0iiIt7QoBISAEhEBlE3DeB52FkVgkiPnaQ4cORWxsbFEXWfyHYeF///23224zn5yFkGhPPvkkZs2ahZkzZ6p/l2a+FOgsNsTFAy60c4s2MSEgBMpOQAR62dnJmULAHYGAEOgcHIvEsBogQ+ZYrdBgMBQbM180uLJfVmOl2DZt2oAF6fjvRx55pEoI9LSXJsPQoAUiB9u9EmJCQAgIASEgBHxBoKQicc7ts0Abq7lTuHP7HFZDp5edov71119XlY8dKxtrAp3Hzp8/v9Tu+lqgszgcBbq7qsWldkgOEAJCQBEQgS43ghDwPYGAEOgMjxsxYoQq+BIeHu62ijtD08tq1113HU6ePKnC9CjORaCXlaScJwSEgBAQAv5AwFOBTqFLz3qtWrVUITjnBXJ6yinIHQW6hLj7wx0gfRQCpRMQgV46IzlCCHhLICAEOlfq+SJBoa7tmeotiJKO576uFOgbNmxQFWUZpueJQGcRHP7naDt27MDo0aPVnn6dO3cudzfTFk2CoWFL8aCXm6Q0IASEgBAQAo4EPBXo3JasXr16ak9aVm13NLPZrLYxYyE4R4HOcxjtxiJxTBfj+SWZLz3oWpG4u+66CwsXLpRJFwJCoBwERKCXA56cKgTcEAgIgc4csqeeekpVZPW15ebmqpeLvn374rXXXlPNeyrQteNc9cm3Av0CRA6e7uuhS3tCQAgIASFQjQl4KtApwrn3OD3pFNLcgo3GqLYZM2bg+eefVz87CnT+zH3RlyxZgj59+uDjjz9GXFxcEW0KeBaa0xayfSnQuVjAgq/s34cffqgK1WnGbda4p/uAAQOq8czL0IWA5wREoHvOSo4UAp4SCAiB3rVrV1Wc5v/+7/88HbfHx3F7mJdfflmt/vMFxBuBfv486O4FuiXrNDIeG47YJ1d7PGY5UAgIASEgBISApwKdpLiLCvdEZ3g7d1ah2F6/fj1OnDihhPhLL710jkDPzMxEv3791H7qzFe/7LLL1D7p3NucxV/ZHhe6ab4U6GyPwnzcuHEoLCxUkXf8LzU1VVV25+IA93oXEwJCoHQCItBLZyRHCAFvCQSEQF+zZg3GjBmjVr25Ku4r45d006ZNMW3aNEyYMKGoWYbEce9UFp1r3LixOsZT8/U+6GkvToKxcStEDJrmsgt5e9ajYMJgRP18wtMuynFCQAgIASEgBFTqGM1Tsfruu++qHU527dqliq/17NkTjz76qBLb48ePP0egs20Wa+Oe5EuXLgVTwHgt7oneq1cv3H333SqCrSIEOttkxXlG3/34449ITk5WiwqtWrVSHnWGv4sJASFQOgER6KUzqo5HcKG1SZMmKu2J6U/lMX4Xff755xgyZEh5mvH6XF+OwduLB4RAHzt2LLZs2aK+3Lt164ZGjRq5rOLObdi8MbbZqVOnEk9hUbqsrCyPm60Qgd6kFSKuFYHu8STIgUJACAgBISAEhIAQEALlJhCoAn3t2rVqR4qdO3ciJydHaQvuRjF9+tmU0jfeeANcmNy6daviyDpVjCZiZG9JxpRZRueSXVBQkBKyw4cPV9ejaSmyjDCi89HRuKjI46644goVWaTZ6dOn1YLoF198oaKAatSoAe6uwZpZrPehGQtez5kzBytXrlQRTtwuk85NXvOSSy4p9/2gNcAUolOnTqnoY6PRWK52me7EfgYHB5erHW9PLotAv/nmm5GWlqbmoTwWEAKd27iUZlx94c3ijaWnp+O7774755Rly5Zh+fLlyovOlX5vVnR8L9Bvh7FJaxHo3kysHCsEhIAQEAJCQAgIASFQbgKBKtDp+aU479Chg9ohioKdAp01NW677TbFbdSoUarmRo8ePRASEqIicj777DNs27bNbeHLN998U0UHMRqXIptRRP/88w+2b9+Oxx57TLVLscztKVNSUrBv3z6lNTRr3bq1WjCgqNcEOsV59+7dVdFN9oEpOxSXTNNlRBPTiLRoX6YSMbXniSeeUL+jSGdEMMc5cODAct8PgdSACHQ/m01Pi8S5GlbFCPQ2iLh2qkuKEuLuZzeXdFcICAEhIASEgBAQAn5CwB8FOj3Y9DZz+2VHJ9/gwYOVp9ZdxO3QoUOVWH/vvfdczg4dgTx/0aJFYHSvK6NTj8ewQKY7o86gB7ZBgwZKeLMeB41bPXNXqZtuukkJek2gT548WfWJc5GQkFDULAtdt2jRAu3bt1cec3p2eW2ex8UBT03zCjMyYMGCBWpRgZEE7NcDDzwALjqwYDeZsuYIzVncssYHi3mvXr1aRR5z0WH27Nkq/amgoAD33HMPPv30U1ULhGPgYgjbpjmGuGvt8lg6SlnrhGN89dVXi0UAMLqB/eEiByMRuDDBn8nAnXG3Ll6XEdlc5OD4OOdamD7nl4szP/zwgypiysgE7goydapdg7kqDs4UKqZsMeqBYfpJSUlqfFzcYe00RlC4soDwoDNnTcuVcwedExITE+PpvVjicVVLoN8GQ9N2iBx4t8s+i0D3yZRLI0JACAgBISAEhIAQEAJOBPxRoNPjXKdOHXzzzTfo3bu3GpEmDL/66itcffXV58wzRdo111yDuXPnFqtL5XggC1/Gx8erKFsWr3ZlkyZNws8//6xC1xk278o0gc6dL2bOnKm2oqSxHhYLadKYhkuhzZ0nGM4+bNiwot2mHNtkyD096ayzERUVpQQ625k/f77HIeMU6IwM4KID63OsW7cOt956qxK+l19+uVow4E4cFMD0+HNhwVmgU5zzPApnhr3zvuECwqBBg/DMM8+oiALWIqHo5cIJ/xsxYoQaiiuBznohPI/inEJ648aNqk2G0/M67NeTTz4JLrqwVhnD+imw3Ql07kLCqAQWOeWx+/fvV8I7MTGxSKAz8oDzz7nlGLhgQsHOxRby58IDuWRkZBQtwLC2CSMbeB7brlu3ripGOnHiRLUowfkNWIHOG23x4sVuH5r8IHKbNG5tVtnmew+6CPTKnlO5vhAQAkJACAgBISAEqiMBfxTonCd6oimy6P2lMaScgpgeTu5GoRk9vcyl5naSFM4Ub+7sjjvuwKpVq1ROOkPeXRl3eKJX9o8//kDLli2V15fbOt54441F3nxNoFN08voU/Mxv56ICQ+3feuutIoHOEHV6ZBl6z6LWzkavLa9HTzM94PQ8UxxSHHMbS3rSmf/OEHd3RoHOxQCKVS3igAKZixG//PKLOo3iNzo6Wukxtucs0CmUyZt9dzaG/DMtgELalcPVlUDndSiGaYwmYEFRer7ZL16fYvnrr78uutTo0aPVz+4EOuefHnsuDDAagEavPKMTSip0xznnHHzyySfqHE9z0J9++mm1qPHnn3+6xB4QHnSGB9x7771qNcjZGNrA1bFDhw6BQr2yzecCfeFtMDQTD3plz6tcXwgIASEgBISAEBAC1Y1ASUJiz567YbHknBckBkMYWrRY6PG1WE+K3k+KKxYfo1ClYKXQdTR6Uin2KKhnzZqlwtc1z67jccz9pg6hkC1J7GrnUMTTk04vLL3TDMGmV50CWBPo9JJT31C/sH+8NgUdhbjmQS9NoLNt7kzB8O0uXbqoy+fl5eHXX39Vuem8Jv9GwUtx6cr4ey5SrFixoujP7A/DwLmFpmaMCGB/KbidBTpD7NkPLkowQoGh/szdp1Eb0ZGqFbajh9oxisGVQHccD6Mf6KkmT3rOWeD7+uuvL7b9Nj30DCl3J9AZss+dPRi+rhl/ZgV6R4FO0U5WBw8eVIscDM/nMewPzZ1Ap4DnLif8vPB+4oIPIxpYtM+VBYRAZ2gBV1H4wXAMFWA4x5VXXokjR46onIeLL77Y4w9uRR1YMQK9PSIHut4SRkLcK2ompV0hIASEgBAQAkJACFRvAv7qQae4ql27Nt5++20lXCku6bGmp9qdMUyZud4svOZoDLXm3+gBLovWoFecAp3ikLrFUaDTs8wdqlgcjvnazHl2FOhaiDvDzOkFdjbHEHeKWFfGSGQWxabodGWuRCfzqilMKTo149bT7Bv/c1VgTRP55ERPPr3PZEdjWDhFPP/GiIE+ffoUeaVdCXRH0azl1mv53uwXFwMcox2YO88ICXcCnX1msb6SBDoXdcaNG4dnn31WRT5ERkaCnnBGJ3DBxJ1A5+IOtx1lRX2mBTDS4KOPPlLtuOtPQAh0AuEgKc55c1Ksc0WJsf5M4udNx1WxqmAi0KvCLEgfhIAQEAJCQAgIASEgBMpLwF8FuiammDdOAczQa1ZtL8lYZZ0h8RSfmlGgUZwztJ0F3cpi9JDTe8z8d3qPHQU622P/KB4ZHs96Wo4CnX9nYTPmb5dWJM5d35577jm1PRwdmxUp0B3bZqG+GTNmKGHubGTJLeIYBc1FBW8FOkPcmVNOnpqNGTNG/VxaiDtTHEJDQ9Vp7CNrBmiLAcy/Zzg9q95rxoUEctMEOqMyOE+O16ZG5bZ6zM/XjIsi9KoHvEDngFkNkB8UhjGwsh/DBrgSw5WUqmI+F+gLJsDQvKN40KvKBEs/hIAQEAJCQAgIASFQTQj4s0CnA49Fyuj5ZY4yi6lpxtBtFixjTjONXm4KY4o0CnIaw9rppf3ggw/UdmuasZCbVszN+TZgTjMLhdGJyPxyijm2xxBp5lBTqDsLdIpNFijTil07C3QKRC4OUFhq26wxNN95mzUKXnraWWmdYfj0ADNknmPiFmtaPr5zn33hQWd4OaMTmCvOKvBMF6BOo/eZaQXMr6deY4g/x8BwekZA82dvBbpWJI6akPNLrzgLyTFPnuHwroxh5ywSx1B7cuMiDIvE8f7WBDq98BwHPek8ltEU1Jz8tybQudBBYc/Ibc4lveUsRsgaAzye0RocG73pJRWtCxgPugabKx1ahUCKc24tUJWsYgT6hYgceKfLYUqIe1WafemLEBACQkAICAEhIAQCh4A/C3QKJFYcp0imd1PbK5yzQ0cfhRaFLiuDN2vWTBVXo7daK5RGYe8qLJyh1BTZroyh3fTWU/RRMLNwGsOleY6mWZwFunM7zgKdf6dIZxV1bs/G8Wj53PwdFxpoFMZsm+KR46Xo5/gp2unk1DzHFSHQuQjBhQwKX16HIf0U5hS31G30MLNaPQv0UcRSXDOXnOatQOc5bJMimNEJDCtn6gFz+MnGnTEUnTqSCyVt2rRRiy8MldcEOvnx7yy8xz6xFgEFOEPzNYHOMH5uocb8fop+LeyeUd6cd7bBxRAuqHAuAsqDztULd8ZcDH6oWBiOxQs0I0hOVGWbCPTKngG5vhAQAkJACAgBISAEhIAvCPizQPfF+KUN/yDAxRWmMLA4nj+YX3rQtZUrbwBToHOlrLJNBHplz4BcXwgIASEgBISAEBACQsAXBESg+4KitOFrAiw+x3D18PBw5eFmdXl66Zn77Q/mlwLdXZXB0oCzQmNlW4UI9BadEDngDpdDkxD3yp5xub4QEAJCQAgIASEgBAKTgAj0wJxXfx/VsGHD1JZ3LALI1AXm2TM83V/MLwW6v8B11U/fC/RbYWjRWQS6P98U0nchIASEgBAQAkJACPghARHofjhp0uUqT0AE+nmeIp8L9BdugfGCixFxzRTxoJ/nuZTLCQEhIASEgBAQAkKgOhMQgV6dZ1/GXlEERKBXFFk37VaIQG91MSL6i0A/z1MplxMCQkAICAEhIASEQLUmIAK9Wk+/DL6CCIhAryCw7pqtGIHeBRH9J4sH/TzPpVxOCAgBISAEhIAQEALVmYAI9Oo8+zL2iiIgAr2iyJ4vD/rzt8DYWgT6eZ5GuZwQEAJCQAgIASEgBKo9ARHo1f4WEAAVQEAEegVALalJn3vQnx8PY+uu4kE/z/MolxMCQkAICAEhIASEQHUnIAK9ut8BMv6KIBAQAj07Oxu7du1Cs2bNEB0dXRGcfNamCHSfoZSGhIAQEAJCQAgIASEgBCqRgAj0SoQvlw5YAn4r0KdOnYoFCxbgt99+w9ChQ1G7dm2cPHkS7733Hvr06VNlJ8zXAj31uZsR1KabeNCr7IxLx4SAEBACQkAICAEhEJgERKAH5rzKqCqXgN8K9N69e+P777/HwIED8eijj+Kiiy7CwYMHMXr0aPz666+VS7WEq1eIQG97CSL63e7yqnl71qNgwmBE/XyiyjKRjgkBISAEhIAQEAJCQAj4H4FAFehr167F/fffj507dyInJweNGjXC7bffjunTpxdN0meffYZ58+aBDAoLC9GiRQvce++9GDNmTIkT+dprr+Hll19W5wUFBaFJkyYYPny4uh7t4YcfxiOPPIJ+/frh22+/LdbWU089pY674oor8NNPPxX97fTp00oPffHFFzh69Chq1KiB/v37q3YaNmxYdBydmXPmzMHKlStx4sQJxMbGomPHjuqal1xySYXcgGXlVCGd8ZNG/VagX3311Vi9ejU0oa7xvuqqq/DDDz9UWfwi0Kvs1EjHhIAQEAJCQAgIASEgBLwgEKgCffPmzUqcd+jQAeHh4aBgp0B//vnncdtttylCFMipqalo1aoVTCYTvv76ayXQV6xYocS1K3vzzTdx9913Y+HChUpk5+fn459//sH27dvx2GOPFQn0119/HSkpKdi3bx/q169f1FTr1q3VggFFvSbQKc67d++u+kAB365dOxw4cAAPPfSQSgH+/fff0bRpU9XGZZddphYTnnjiCfU7inQ6PDlOOj1d2alTpxAZGYmQkBAv7oyzh5aFU5kuFEAn+a1AHzt2LMaNG6dWlniDX3vttfjzzz/VB+Pnn3+uslN03gX63o0ouPVa8aBX2TtCOiYEhIAQEAJCQAgIAf8k4I8CnR5sepsPHz4MvV5fBH7w4MHKo/zOO++4nAym1FKsM53WnXXu3FkJXU1sOx83ZMgQdY0lS5a4bYPebHrCGzRooIT3gw8+qI5lWu91112Hm266SQl6TaBPnjxZ9YlzkZCQUNRubm6u8uq3b99eeczT0tLUtXketZOnRh7Tpk3Df/7zH6W9fOFpL40T+7Zu3TrMnj0bGzduRHBwMLp27YqPPvpIjaFXr15qXAaDQc0XFyfIfNSoUbjzzjvxySefID4+HosWLcI111zj6VCrzHF+K9C5msOblKtGu3fvRlhYGGJiYtQNffHFF1cZwM4dqRCB3q4HIq62r+Y5m4S4V9lbQTomBISAEBACQkAICAG/JuCPAp3aoU6dOvjmm29UJC6NnnCK26+++gqM0nU2etQp9ObOnYsJEyac83ebzaYieCnyqUX69u3rcl4nTZqkHIl0MDJs3pVpAv2///0vZs6ciT179qjDeN2IiAj17y1btiihbbVaVTj7sGHDwIUHZ2MIPj3pycnJiIqKUuKW7cyfP1+JXk/MbDZj1apVePfdd/Hll1+qkHk6SvkfFxG8MU85cXxcnLjllltU5ILRaMSPP/6oUgFq1qypBDo1Fflw4eDjjz8GeTFy4frrr1d/Z7TDsmXLcOjQIaUT/cn8VqATMieZqyoM4+AqCSeyrOEX52vSfC/QxyGo3aUi0M/XBMp1hIAQEAJCQAgIASEgBBQBd0KCHlp6qM+XUSh6E0FLJx+FHkPOaQwpp8BLSkpSXlnNGF5OpyBFKoUz87cdLT09HfXq1VOh6jyPueUUle7s2LFjqrj1H3/8gZYtWypv9IABA3DjjTcWefM1gU6Nw+svX75c1driogJD7d96660igc4QdS4sUIzSy+1sn3/+ubre+vXrlQf6008/xcSJE0HvOr3YnCeKXoa4e2IcL/tDsU6PPoUwversf2hoqNsmvOU0cuRIJaw5XlfG61oslqK6Y/w3d/LiWNk32vHjxxUzhvhTI/qT+bVA9yfQWl99LdDTnh2HoA49Ed53oksceRLi7o+3ifRZCAgBISAEhIAQEAJVnoC/CnR6VplLToFLTzKFKgUrha6j7d+/H1lZWUpQz5o1S4VMjxgxougQerATExPVMczlZpg1PegUkCXZ1q1b1YICRS6LqDE3nF51htxrAp1eZKbu0uPP/vHaTOelENc86KUJdLZ9ww03YMOGDejSpYvqUl5enhK2FK68Jv+2ePFi3HzzzV7dbzyPLDh+LgQwfN+decupTZs2KpSfRe7cCfS2bdvipZdeKvozIxIY3j5jxgz1OzpyyfN///ufimzwJ/N7gc4CCvwgbNq0CUeOHFErQlzB4WoWQ905IVwhqyomAr2qzIT0QwgIASEgBISAEBACQqA8BPwxxJ3jpV7gFs1vv/22Eq4Ud/RY01PtzhjezlxvFl5zZwwfZ+QAQ8I9NXqJKdAZIn/llVcWE+jbtm1Dt27dwOJw48ePx5QpU4oJdC3EnWKWUQDO5hjiHhcX57JL7PN3332ndsMqzSjumQZADhT3nTp1Uh50Vq5nITlPrTROnAfWFytJoF944YV44YUXii7ZuHFjxcYxkkCn05W6eOBpn8/ncX4t0J999lkVjsJqhjTmVTDEnTcPc0lozDngMdpqyvmE6+pavhfoYxHU4TLxoFf2xMr1hYAQEAJCQAgIASFQzQj4q0DnNNFjnJmZqQQww8ZZtb0ko3ecIfFMrXVnt956q6q87rgFWmm3BD3kzCOn8KUodfSg81z2j5XeGR7PeluOHnT+nTnaS5cuLbVInLt+PPfcc2q7OOapuzJ6ormIQFHOyAPmwXNba/JjBfuyWGmcuBjB3PuSQtxFoG9SUR/lNZ2NM+wjYygGQ1PoIeeN6px/TpHO0A2urHDbAxZOcFXUwUfd8bgZnwv0Z8YiqGMJAl32Qfd4buRAISAEhIAQEAJCQAgIAc8J+LNAp9d40KBBoOeVgpPF1DRj6DSLoWkClEKReuOuu+5SheJo3KqM0brNmjVDQUGBKjrHPcpfeeUVt7GJ308AACAASURBVJqDFdfr1q0LbgvN/HKKbrbHcPEdO3Yooe4s0LOzs9XWaBTnNGeBTmFNHcQIYm2bNYbmO2+zxqhjetqZI8+cc3q8GTLPMbHyvJaP7zz7FOZcBGDxNXrL+/TpU6z6fWl3S1k4sQA4q7RTyLOwHqu0s0gc+68ViROBXgUFOieNWwcwt6I0Y04EHyDM96hsqxCBfuHlCO9zbkVJjlWquFf2jMv1hYAQEAJCQAgIASEQmAT8WaCzsBiLy1Ek0+ut7RXOmXrxxReVc49ClxXEKcJZXI1CVduajQKY1cNZWI7imGJ+6tSpqqq4O2ORNnrrWRWegplik4XiGO1LbUNzFujObTkLdP6dIp1bxzHtl+Oh0O/fv7/6HRcaaCxkx7ZXr16txkvRz/FT9HI7M3dF3o4ePaq85qwCXxYrCydehzn67BfTmNk3RhJwmzUuVDDHXwR6FRTonCgWS+DKSmnGFSEWDWC+SWVbxQj0KxDexzUHKRJX2TMu1xcCQkAICAEhIASEQGAS8GeBHpgzIqMKBAJ+m4PO1SDu+ffMM8+UOg+sgMgtAViuv7LN9wJ9DIIu7CUCvbInVq4vBISAEBACQkAICIFqRkAEejWbcBnueSHgtwKdOR7ML3/66adVuAm3SHA2hnK8+uqrahN7hoM8+eST5wVqSRepEIHe6UqE93a956J40Ct9yqUDQkAICAEhIASEgBAISAIi0ANyWmVQlUzAbwU6i8BxX7+VK1eqvISOHTuqrdUo1CnMueXa33//rcLa+/Xrp0rss8J7Zdt5F+hSJK6yp1yuLwSEgBAQAkJACAiBgCQgAj0gp1UGVckE/Faga9xYof3DDz9UBQRYxIBbrnFrNVZI5B56I0aMUFsWVBXztUBPfWo0TBdd5d6DLgK9qky99EMICAEhIASEgBAQAgFFQAR6QE2nDKaKEPB7gV5FOHrcjQoR6Bf3RvhV4132QULcPZ4aOVAICAEhIASEgBAQAkLACwIi0L2AJYcKAQ8JiED3EJSvDvO9QB8F08V9RKD7aoKkHSEgBISAEBACQkAICAGPCIhA9wiTHCQEvCJQLQT64cOH1T6Gl19+uVdwKuJgnwv0J0fB1KUvwq+62WV3xYNeEbMobQoBISAEhIAQEAJCQAiIQJd7QAj4nkC1EOiPP/44/u///g8Wi8X3BL1sUQS6l8DkcCEgBISAEBACQkAICIEqSUAEepWcFumUnxMQgX6eJ1AE+nkGLperMAJWmw2rkzOwLSsXNUxG3Fg7FhFGQ4VdTxoWAkJACAgBISAEqhYBEehVaz6kN4FBwG8F+qOPPurxDPz888/46aefAtiDfjXCrxrnkoeEuHt8m8iBHhKgMM80W/DO0RRsTM+GOS8PhuBgNAwNxuMt6kGn03nYkhwmBISAEBACQkAI+DMBEej+PHsV1/cDBw6gSZMm2Lx5My688MJyXYjvldwue8iQIeVqx9uTfTkGb6/ttwJdr9crIWCz2TwaM48NzBD3kTB17YfwK0Wge3QjyEHlIvDz6UwsTjpV1MapLZuwatwwXHj3DLS7dRIeaV4PTcOCy3UNOVkICAEhIASEgBDwDwKBKtDXrl2L+++/Hzt37lRbODdq1Ai33347pk+fXjQxn332GebNmwcyKCwsRIsWLXDvvfdizJgxJU7ea6+9hpdfflmdFxQUpITs8OHD1fVoDz/8MB555BH069cP3377bbG2nnrqKXXcFVdcoZyPmp0+fRp0Xn7xxRdq2+kaNWqgf//+qp2GDRsWHXfy5EnMmTMHK1euxIkTJxAbG4uOHTuqa15yySU+u+mouU6dOoWaNWvCaDSWq93jx4+rfgYHn9/3y7II9JtvvhlpaWlqHspjfivQOeEXX3wxXnrppVLHz2MWLFggAr1UUnKAEHBP4HShGVN3HELOieM4uPobXDByHD7o3LLohNF/78Pg+BjclBAXUBjzLFaYbTaEG+yLgmJCQAgIASEgBBwJpBea8eKhk9iVnYfhdeIwsFZMtQEUqAKdnl+K8w4dOiA8PBwU7BTozz//PG677TY1vxTIqampaNWqFUwmE77++msl0FesWKHEtSt78803cffdd2PhwoVKZOfn5+Off/7B9u3b8dhjjxUJ9Ndffx0pKSnYt28f6tevX9RU69at1YIBRb0m0CnOu3fvrvpAAd+uXTtQXD700EPYtWsXfv/9dzRt2lS1cdlll6nFhCeeeEL9jiL9+++/V+McOHBgtblvPRmoCHRPKDkdwxt/z549SExMLPXswC4SNwKmrv3Fg17qXSAHlJfAiwdPYEN6Nt7v2Ew11WHyVJh/+QNRGfkw6g3o9MEH6NYoDqPq1SzvparM+auT0/Hx8dMosNojdbpFh6NHbAQ6RYaJWK8ysyQdEQJVi4DFZsMnx1OxNycP/WpG4+Lo8KrVQemNTwlwEXfitgPF2qxlMmJi/VpoERYCoz6wF3b9UaDTg01vM3d5YkSuZoMHD1ae2nfeecflPTJ06FAl1t977z2391Dnzp2V0NXEtvOBDNPmNZYsWeK2DXqz6YFt0KCBEt4PPvigOva3337Dddddh5tuukkJek2gT548WfWJc5GQkFDUbm5urvLqt2/fXnnM6dnltXkeFwc8Nc0r3LVrV+Xw5KICIwnYrwceeABcdAgLC1NMb7nlFtWss7jlQsadd96J1atXIysrSy06zJ49G+PHj0dBQQHuuecefPrpp2rBg2PgYgjbpjmGuGvt8tgXX3wR69evV2N89dVXi0UAvPHGG6o/XOSgZuTCBH8mA3e2YcMGdd0dO3aoRQ6Oj3OuhekzKoCLMz/88APo1WdkwpQpUzB16lTVpBb54Nj+jz/+iF69eqmoB4bpJyUlqfGNGjVKFTBnBIUr81sPOid1/vz5SE5ORlxcyR67uXPnKghWq9XTe7HCjvN9kbgRMHW7BuG9xrrss+Sgez6VzKv+8XQmapuMuCgqPOC/VD0nYz9yzD/2xbCfL++JyOBwdGvTA+F16uH09q3q910ffASFsaG4t/cFASFeT+YX4r5dh5F17Cgykw4hoUv3YsguCA/BfxLi0CI8xFuUcrwQEAIBSqDAasWtW4uLtR4xEZjcMD5ARyzD+iElA0uOJOO3OTOR+OWnGPDRl4hr3VaBqWky4v+a1UVsUPlCfKsyZX8U6PQ416lTB9988w169+6t8GrC8KuvvsLVV199DnKKtGuuuQbUFBMmTDjn70y5pXCjyKe47tu3r8tpmzRpElgbi6HrDJt3ZZpA/+9//4uZM2cqhySN142IiFD/3rJlixLa1DYMZx82bBi48OBsDMGnJ516KSoqSgl0tkMN5WnIOAU6w/nHjh2Lu+66C+vWrcOtt96qhC+3sOaCwccff6wEMD3+XFhwFugU5zyPwplR0LxvuIAwaNAgPPPMMyqiYOnSpUr0cuGE/40YMUINx5VAZ9QCz6M4p5DeuHGjapPh9LwO+/Xkk0+q+VizZo0K66fAdifQs7OzVVTCVVddpY7l9twU3nQEawKdkQec/2uvvVaNgQsmFOxcbCF/LjyQS0ZGRtECDDUqIxt4HtuuW7cu/v33X0ycOFEtSnB+XZnfCnSuXDBsg2HuXM3yF6sYgT4A4b1c57uIQPfszlifloVFh04WHWzQAYvbNhGRfobIkbwCPLDzMMKXfoWM735Qv9UbjYhq0gxpe3apnztMmYbQmrUw+fJmCKoZ5hn4KnzUB8dSsPJUOj64uDWshQXo+uBj2PD4HPR/71NYLWaExScgol59LGrdENEB/PLFKTqaV4Clx1JwLL8QLcNCMKZeDYTp9TDbgKAA9w5V4VtUulYJBPgSzkgix++LOxvGo1uM/aX5l9OZeCPpFDYveBrb3noVPee/gMbXDMJLbRohSna5qIQZq/hLvn74JH5NzSqKLms6eChaj74Fqbt3oOmgoagbHIS5LeoH7LPSHwU67wp6oimy6P2lMaScgpgeToPh7I409PQyl9psNisPKcWbo6Wnp6NevXrKq8zzmFuueZFd3X3Hjh1TXtk//vgDLVu2VF7fAQMG4MYbbyzy5msCnaKT11++fDkuuugitajAUPu33nqrSKAzRJ0eWYbeT5s27ZxL0mvL69HTTA84Pc8UhxTH9PbTk878d4a4uzMKdC4GUKxqEQcUyPHx8fjll1/UaRS/0dHRWLx4sWrPWaBTKJM3++5sDPnftm2bEtKuUgldCXReh2KYxmiCtm3bKs83+8XrUywz5UCz0aNHq5/dCXTOPz32XBhgNACNXnlGJ5RU6O6OO+5QaQKffPKJOsfTHPSnn35aLWr8+eefLrH7rUCv+EduxVzB5wJ9/nCYug8UgV6O6eIL19h/98Ocm4uPurdD53tmoc24ibi7UW10cROamFxgBsMY403GgPAWl4ZvyvaDiDyZi6Rprlf6eD49Bi1uGombWtZGnXb+7y2aueuwEqRaSD/HqIMONpwtTMm8++4xEbjDyTtms1hhzTVDZzJAb/Lvref4+XhwzxHsT8vA8T/Wod4VVxW75y+NicC4ejURajgbJlja/SR/9z8CJ/IL8dKhk8i3WlFgs6m0D/775TaNYHIIEfW/kXnX480ZOXjuwHH7C2l+PgoyM9TC5O0NaqFnbCRu/jcRFhuKnht6kwkjN+7AyDpxuKYa5SV7R9W/j2Z0WXCBFXtHjEWdsDiE1KmLv/9dh3+P70L/5V8jprm9VsvkBvEqRSrQrESBfvfdQE6OGrJW1LnCarlQVC1c6DHeZcuWKe8nxRU9yRSqFKwUuo5GTyrFHgX1rFmzsGjRoiLPLo+jB5vClccwl5uh7fSgM6y5JNu6davypNMLS+80Q7DpVacA1gQ6veTMaafHn/3jtSnoKMQ1D3ppAp1t33DDDWD4dpcuXVSX8vLy8Ouvv6rcdF6Tf6Pgpbh0Zfw9FymYW68Z+8MwcMdaYIwIYH8puJ0FOkPs2Q8uSjBCgaH+PXr0UM1RGzHiQCtsRw+1YxSDK4HuOB5GP9BTTZ70nHfq1AnXX3+9ip7WjB56/uxOoDNk/++//1ZREJrxZ1agdxToFO1kdfDgQbXIwfB8HsP+0NwJdAr4F154QXn5ea9wwYcRDSza58pEoHv8UfbNgRUj0K9FeK/RLjsoHvTS5+14fiFm7DqM3cs/wIa59pVRCq++NaIw1imfml8wDGVjKDztwsgwTGkYH/DiZMzf+9Bu52n884S9gIkrC46JUdXcO0SE4oreTaHzc8GmCfRlnVuhaVwDtKzZGGFBocg3F+BQ+jH8dWQb/rN+K4whIXivg734is1qQ0FSJswnctS/acYaIQhuEu23PLZn5eKJxGNYO2saDqz8CpfOew5NBl6nwv6zjx1Vof/DEuIwKL76FEUq6anyd2YODucWoGGoCR0i/T+SRBvrsfwCzNyVpH60FhZCfyZv7tU2jRBejTzDd+84iOSsHHzYtU3RbXDD938okf5628a4bdsBhOaZkTjyZtQMj4PFakHzhc+jVYsaGFe/VulfSHKEXxHgO8EtmxPRZMsh7FpYXNhxIFvTDyK7RQN0fugRBMfE4ukLGiAh2HXOqV8N3KGzmpBo0qwZUgvNKLTaoNfpUCPICEYjZlqsoFODmfgmvQ41g4wIrgLvBxRXtWvXxttvv62EK8UlPdb0VLszhikz15sRvO6M4eP0wq5atcrjKaVXnAKd4vDKK68sJtDpWe7WrRtYHI752sx5dhToWog7w8zpBXY2xxB3dynB7PN3332nRKcrcyU6uQBBYUrRqVnjxo1V3/ifqwJrmsinp5yefHqfGaZOY1g4RTz/xoiBPn36FHmlXQl0R9Gs5dZr+d7sFxcDHKMdmDvPCAl3Ap19ZrG+kgQ6F3XGjRuHZ599VkU+REZGgp5wRidwwYTmihUXd3r27FlUmZ+RBh999JFqx11//FKg7969W8Xwa3kYnn4CeBNzwMxvCAmpnLxRnwv0J4bDdIkIdE/vAVfHbUrPxgssgDbvYRz45CP1xXLjph1oFhaMh5vXK3YKX76f2X8cJ//aiPz0NDS4si/G1K2Bq2tGl6cLVfpc7ns+ZeNexC77DofWFN/uw7nj3ebMZbIQplzVAsaYyvmM+Qrm/TsPwXYkC0funeW2yYQ7JiO9cwu80bkZtmTmovBAOppmWxHi5FE0xoYgpGWsr7p23to5lJuvvOc0LZKg3cQpaNC7H1YOv079ftjaLTBFRqpiSIwkiAsyVIuoEleT8MWJVHx6IrXoTzfUjsWQ2v43767GllJgxrSdh5D00/f4aept6LXgddTv1RsLWzcM6PxasmBe+aaMHBzKLcDXp9Kwf+WX2Dt3LprFNUKI0YSoK69AzB0T0a1GJDYkZ6DVjmT8/fS8Iozd/u9xxNSJwNhLmpy3z65c6PwQYBTJwz/vRugf/2DXx++7veiqPb/imt83qb9rC7rnp4cVfxVNSEQ0aIgcho+4MJvFgsKsTJiiomEy6FEvOKhKfE9QTGVmZioBzNBrVm0vyegdZ0g8xac7Y9g187Adt0ArbRboIaf3mPnv9B47etB5LvtH8cjw+JiYmGICnX9nYTPmb5dWJM5dP5577jm1XRzz1F2ZrwS6Y9vMl58xY4YS5s7GxQ1uEccCb1xU8FagM8SdOeXkqRm3vuPPpYW4M8Uh9P/Zuw74psr1/bRJmtG9N5QOKFD2EAUZ4r4ucKI4cA+8rqu4UVwX994bRMWBiMqSK0OUUSjQQffeeyVp06T9/54vPWlaktKWQlP+vvd3f9Lk5OR83zk553ve93mfR60WH+MxUjNASgaw/550ejIlpGAigfMmAXSyMnierL+bQJytD7wupGBShFX1kwqgs8eDGayrr776aNd8p/d5otkvwSwRG/UHIvodoD9/JVxOuwius6+xOZymjN0w3HwRPLaVDcRwB8V3ri2vwbqCKlQ+/DRcK+rEMY989jm4RnrjxpggZOsNCFe5CLGXuw/nobbFZAEr1xzIhI+LHG+OtC30MSgm4CgH2Wg04fntGWj7bQvyfz8yI0z6Xm1mutjLpAcfg1ytwUWxQYgYNXirRRT92ZBUjIDcaiS89l+7MzRiwXXwGD4C2cNcoTW1YlyeHionJ5zj7ymqB9ahGeMHZ83gqZwcqNfhjbwyYTGn1BqQdc31CHDzReDMOdjy3Yc4XJ4l6P5nfvyVqB56DjOr+3spZILKOcrN/ID7/xIEcXcfzkd1RQUSXn8RE+5bAl8/P7w1cuhJ0XvK+8AdKXnYdOMClO/bg+BpMzD3gy/w8ohwBJ5kFUHra5YK3cuyilHQZLC8XPH8y/BNNbMJpBh934PIigtGSE0LXA6mInWFWaFZpnDB5EeWin/fdfYIyNxc/r/8JP5fjJMV4w82pkEXvx9ZP33X7Zg9r7oMTWefhrfHRULjABXk/jpBBIVM5MtDh8Co16GxsAAqX1+ofPzIa4e+ogwt2kbRRqgJCITKLwChKgWUDtAaQzxAkTJWftmjTDE1KUjdZkGPPc0MVrlZZSVIYyWdQasyamFFRUUJqjNF56jW/d5779kUkuNn2NPMIiNxCPvLCea4P1Kk2UNNoN4VoBNsUqCM4JxhXUHn3wSIVHsnsJRs1kjN72qzRhzESjt75NlzzgowKfMcE5XnpX78rtdGfwB00svJTmCvOPv12S5Aejerz2wrYH89K9+k+HMMpNMXFRWJv3sL0CWROFa3eX5ZFaeQHPvkSYe3FaSdUySOVHvOG5MwFInj9S0BdFbhOQ5W0rktsSip8/y3BNCZ6CCwp1o9zyWr5bwuqDHA7cnW4NjoT9+daN2grKDzZHGSKPDQm2CGiv0lpE+cVAB9+kVwnfUPQO/NtWC97Xs5pdAdqkTii8+hRasVb7EPvc3LA4lD1GjtIoLlVFWLAwsWwEXuglM+/QL1gZ5Y0W491tdjcNTPsTpwc1IuxubqUL1jB/I3r4d7+FA0FHTQoKY+tgx7njP3+ZD6HDBpqnj4zj9nBJzIbxtk8XdtI97LK0NcRj2MRUVI/qyDMibXuMKoM18jjKiLL4PfuAmocpMja/tm+BVUYdiF8xHpqsIcH49OI3cJc4dL6ODpP3wuqxhJFdX4886bcLpqKJx0TWI8PqPihHJ/bk0R0itzoGtpgq5FjykPL4Xf+InwioyBj6sGr8UOOSmAaU8v3yxdE57KLMa2++9EwZaNGHL2+Zj50lt4JiYUEWplT3fjcNuRwlvZYhSJGlLc1189D1XJhxA250zMfv0DPBcTiiGDeHxHm/Ct1fX4pLASRTv+QE16KmZddjNMb3+K6rTD8B09VswFY/gV10AxPg6a5lbse/4p0QYgxaT7H4HczQ23jAuDOurkYFQcbd6k95nYIRA7WcUkC3XN+HFDOkr3/I28DR2CVGSSjbl1MRI/eMsyVaGnz0bQmWfjktMiEOk/eJ4FRzvXBBLU5HEJDUdLRSXa6hsEk04zNAKVORlQtAIyJ4IsZ0CpgCosDH5KBdwcoDWGAImK4wTJrG5KXuEcMy28CLQIdKkMThBOcTVWqyWhNAI5Cn1JVVeCeYK6K6+8UkwbQTtttKz77kntZrWeoI+AmcJppEuTfk07NEZXgN71HHQF6HyfIJ0q6ux/53ikfm6+xkQDg8CY+yZ45HgJ+jl+gna6Y0mV467f1x8AnUmIVatWCeDL7yGln8Cc4JbK7qwwU62eRViCWIJr9pIzegvQ+RnukyCY2I9q80yksIefc2MvSEVnxZyJklGjRgmKPKnyEkDn/PF9Cu/xmKgyTwBOar4E0Enjp4Ua+/sJ+iXaPdXaed65DyZDmFDhuTipKuhSNuVoNw17759cFfQr4DL94n8Ael8vBgAv78qGorABe5970iJi4hUTixELrkWmXItPbp0nequDp02Hb0MLGpe9QrlK8Y2jrr8ZTiOicMqUMMz1P/lo7vQ+P1TRAJ8Vv6Jwm5nSM/aOf+PQe2YhFs4JgUjG6q9QnZoCnxEjEXPlQszwcsPoSB8oIwbfnLySU4rDlQ3Q3/LAEVeVV1QMarPMdieMIWeei+DTToehvh4Jry83z8/t/4Z3YBCuDvHt9PnBRHOXqqXFWzbB/aPv4erS0Uut9gtAc11NJwBS1liJv/ITYDC2YMj5F2L686/g3qGBmPT/yP/5u9Jq/Fxei18uO184GyhkCly7OwXnhnjj8uDO18Ix3K5O6Ee7Vo8Vxlbk33UvXOv08B07Ab533IKZIwJwQaCXQ9BVj8fkUBhvV61ZoZt09mXvbUDW2h/RWJgvnB3qsjOQusrsmTz5wcchU6uR8tkHaCjItxyO/7iJiLz4Ulwe5ovgqSHH4zAdbp8EbHx+7K83C4RdFOAFtnwcN4GwAZqB5LJ6bNmZh4LfN6L4r+1CsZ+//6hLLodco4HJ0IyqQweQ89vPCJp6KoaeewHmhnhj1NRQOJ0kDhgE6Ow79wgKg6miCsYmvTgbCjd3QWu3DmpXqP0DoFQr4KUaPIyyvlxeVHcn4GSV3NqbvC/7+uczxz4DTK6whYHieIMhBmUF/YsvzA/Dvgb7GigM0ZMg9WPlypWCHsEsGi3dSM+gFD/7Dnob/U9x/weg9/YcdN3+hY0pUJbXYd8rL3R6i/3UBzeswacfPyVe99V44ZyY04/4ukkPPo6aQHcsmxt70i0+qE7rWaNHzT2PWMZtXTGfcO8SuHh4oKmyEgVbNyPi3AuhdHPDgmAfqGQyaCYFDroquhhzXTNq7l5yxLnmIjt77Q+W1wMmTsawC+Yh88fVqEo6KF6Pnn8lfOPGYlGonxDFkcJZJYNm3OBQt/+4sAL7imqheOtLy7g6TYaTk6Au2ovIl5dj1Eh/LOgisnisv1VH/jyvG8bvM6bhjMhp4t/8rbQo5bjn1Ego/AefYNzD6YWgxSKrgy5u7pjpFoX0V19GU3UVJNBZ6yqDc5QnHosKOenufzyHixJz0GIyYcP0KTh1yAQMn3EmKpMOQeHqhrF33gOTXo/4l8x015DpsxA+92ykf7NSWGyxYlq0YytCps8Uug10PBg/NfT/Bc19eXYJkhr14lqRKZVivh6NDMbIk6z1ZUtqKZJTKpD2zQrUpqdCYkvwehjlpkJKYxOMWi32vfK8xenkNF4HE4MHvU6LdD82A/RW+PiHQV9RIWxJ7YWzXAF1QABUMmd4uCkHdZKCulZMONlLOlHZndVbVoSlSrAjP8NOtmOj+Bzp6sRtrHBTXZ5Velse9o449kEJ0E/kRLJngLL9pDiQHk+6Ag3paY/AE81ekt7EcQHoMy6B60zb/fj/9KDbPzsUPVpfWYfqXcXQl5fh0PtvCno2+ysZpHDSUSt5wxp4qtzt7ij09Dli26vmRiPA8+TquyXoCMqtQvGTHertFDzavewxMR8T738ECrfOVL04NzWmtldOZZ5KIY42WCoFnxRWYGt1A8Zk1uPgsg57DjIoqFJPWyVWylkJKd65HW6h4Ri16FZBbSSIYXBRHjbnLJzr5yn8b63DdXLQoEhYXH8gCyOSSpH8spkVwOAi21nhckRFxNYPg9dITJA7zj116EkJ2myNmb+VgMJalD5qTugxhsw9B8HTZ4rKoY+vZlD9FrRGE25PyUN9bg62XH4hJgSPwmUvfYwDb70CQ30dmJxqbTHCd1QcSudMwN1xYScd+OI5vCkxG37JRSj870vinNJOsvpwMjwjYxC70GxJlPPLGpTvj4f38JEYftVCUUFvLC7GmNsW49C7ZoVj/iYYN4b6QRnpOSgTNnYfgl3eIPPi1qQcqNLzkP3I4/AfOwFh9/wbEyN9sSDcr6e7GRTbrYsvQE5+LQ6994ZokZv0n0fFcZ/p4yGcHDZW1okk154XnoJrUDBG33g7xrurcUqM/6BkmNk6KQKgm1rhExAm1lKtZBhaJXBd3D2EHSHDydkZmqBg0fbgoZILK9LByKogOKdoG8Wqo6OjLdPClqCS4mJ4eHiitqIazXpzXDxq5wAAIABJREFUa9iw6MhBO9b++CHSUoyJihN5rq+44goh1EcRQLYusM+e9PTBEv8A9KOcKQoNsG+BHolS0JqBQgbsM6DAAXtTehrHA6ArT58HzekLbB5CU/rfMNxyyT8icV1mR2sy4fbkPMhNbZiQo0N9ThYOr/hUqBJXJh5EU5VZyTLolOko3b3ziLn1HzcBFQcTxOths89E6Mw5uCgqACE+GpjqmuGklEHuo4Lcd/AAdtKavy+rwZYq84M0WKlApbYZwav/h1yr3jprgD7pP48JGt9Edw1qjEYEKV0wXKMS1ipSyL2UUMY4PkiXAIl7dinqnuosDDf1safhJOv8OydQaTMahRhYxupVqE5NFkP2HjESw69cCFZJYl07K9mr4/wgc3UsWl91ixFv5JYhW9+Mf/l74sogH9y/Mx1+8elI+fyjTte+35jxqEw0W4nYCyq6T7jvYQS6KDD/lCEnNRCxnoM7dmcgZHsiUr/63PJy0CmnYeg5/8Kpnq4CvFKDgFoEgyH2UIshuwxlix+At65VHPKoG25Bzi9roa/s7NvKe0LzCC88ODp8MAytx8dImvajO9LhEZ+GlC8/Fp9zCwsXIlj8LUTNu9yyr4TXlgsrRSbzDr3zmqA2j73rPsT/d5nYZuqjT8NJLhcAnaEI1Jw0AK3rhK4qrkJ6Uhl0P69H0Z/bxNu8RurVMjx2zshBk7DtyYXy045s5FdoReKW1eFxi+/HCI0K09v9zrdXNyBT34wDb9JKqk1cH3x/5hAfqEcNztaXrvMiALqxFT6BYdCVlohnpbNMJqjuTs4yIQynLS22fMw1OFRoEniyB50VaIUznF1kPZluh9mGfcSJiYnieIgRGATn2toGlBebRZlVKjWa2un+tHDj/cFJdWJBqiNMWGNDA7IyshAaGgrfAL8TCtIdYfx9PYZ/AHofZ45UCdoS5OfnC4GFnka/A/TnLody5vx/AHpPT0D7duwzPtCgQ+HHn2BUiQF+cWORueY7IXLmPnSYqHrQ39ozeoRNim/IaTNFvxlD6sM+x9cDoarOCr2DZUHOBwvprMXNZmEjVorZKxZTZkD6ks42Y9YAffJDT0CmUlkWnfZOgzLCA4pA116epeO/Oce9sbIetM8jHdO5tQ3GG+7r9MVDzjwPwafNQLjSBQFKubBbYqSu+BR1udmYsuRJxL/4jJgvLtBYaeYijVWSiR6dx6wc6gFFkOPMw+FGPZ7P7iyYQscCdXY9cOiwpbdWmhDr9gaxMHnwcdRlZ4qedF4zjUVFoid3/N0PQOPtg2tjguAxZvCq+ffkCqSQ4rbqBuyOL4Jx935krlktbOfUAUEYcdW1cJLJMNJVhVO93MTCRD3ef1AsRt/PK0NNUiWSHutob4m5bAEyvv/6iGnhPaHVRYZ7zosVi9CTJSqbWvDlxjTU7N/XqbXF+r7vJnNGo6kVaV9/gdqMdOFkcfCd10RLwJjb/409zz6JNnqhz7sCvmPG4Xw/T4sPtirGWyRyB2Pw3pnfZIDMyamTZdavFbVYn1mO4SXNnVp/xt5xj+g9vn5aBDxDBkeSqifn5fvN6ShuaEb88mVQ+fgi7pa7MMZNjSntLLK9dVokNuqR/On70JaWYOojTyFcpcRZfh5wnRo0qMEK+85Xl1bDvbwYUUoX+AWGQ1tSBJlSBWe5XCi3SxVziiaSecPnhCYwGHK5DN5WInEsajgrBgdI57Wvb9CiKL8Izk7OcHN3Q0BoINoMrWisb7BYlbF4x8oxgwDdaDLB1GqC2kNzUt0nu/udtBlbUVFcDoJ06oeFDxkCtvudTM+Jntwn+rLNPwC9L7MGCOU+yb+O/Q09jRMO0NN2wnDr/H8q6F1OEOmobpUNqL//iU7vxFx+taAwpn75iQBfcpUappYWxN14GwyNDYLmXJWUCJ/YUUj86B3xWY+hwzDy+psFrZv07q7hiFXTrse4u7YRb+eXI+vnH/D3Ew+Jtydedxuuv/guC51d+owE0E1trXB6/wUoVRq8bei+v5ZVY86Do4XkW93GXjJnZ0zI1mHfU2aKovV4+W9Wll1lzsjRN+OP6gZkr1uDioR4BE6ehrL4XWLz8Yvvh4u7J5wUcsRolDjdu/NCVOamgHq048wDfwdcOK2aHAuVXImZr72LgJmzMTFbi7qkJAHGWDHUV5QLpggrwrm//Yyy+N1ivBJtV5orKl0X/vE7pKQGk1bDp4fDSX7ygDbra0PyiXdqbcOkHB3K9+xC7vp1kO4j3PY8P0/BRpFisKj5P/13FtwzyrHv1Q5tDlbCdOVHWnZK18H4UQHYKqdqtxOuDPYZ1Or1PF+ZlQ34bXsuindsRcEfmzvdF8LPOBshM2YhUq0U7JP83zeg5K8dGL3oNqR8/qFI9I687iYYGhpQvvdvhM48Q1TQre8LjnY/6On9mZaCr+aWIbnRLAYmxSwfd+yoaYDfwVzovv8ZjUUFFjFJimlSVHNOoBfiTg07KarobaY2fLM+FWVaPfa+8BQ8o2IQe80NmOLhijHuasEeOpBThd11WmR8u1Io/0tCgmf7eiAyxhcuIYNXzf3bkmr8UlGLfzVWYIy3F3x8g4WlGq1WCcBaGhuFcrsmOFhcIoa6OgHa1f6BkCnkna1InZ0gGyQ2pK3NJujqtShvvxcK4NleqKOFV1dfb75Pi+fS0lIxD0OGDhVJ2sHGGujp/UHajomMVp1RKNVbADrnyckJzmr5SXEP6O2c9Gb7fwB6b2arfVvK75PifsEFF4B2CfaCUv5d5fz5WXot7tu3T/S0dxvFxUBI94qvNaKCfik0p19lc1dN/wD0I+aFi4sHdmciOD4LyZ+81+l9Ujjdh0Qg88dvUZVkts9hdAUi+soKS28hRdIolhatUWJmF0DGz7IPWx3r04cr7fh/hL2CSzOLROWc1eOcB5YgvKpD4IXj3vPcUrSZjEKV1nd0nKCvsQe9SlcDn1UfQuaixAdwR6venCm2FexBF4JxDqZae19qPgpKSrHu4rMw5fIbMN09slOLg3TuSVUnZZ1RaTDi54paFG3/Hwq3mpXtbV0noUoFzvE7UsXedWKgoPQNdNDX+dH0QtS/8zHcdieJw6GQU9ySR+FibEPFgX3I/vlHi5WcdLytBgO0xUVwjxgmXiJTwBlO2N+gE4szKvxLvwlSGK8+ZahDsif6Y/5fyilBSnUjjB99hWCFhxAEYxCkuYUPwTXBPkd4/Q4GsUBjaxte+yUZ2oOHkPHDN0JrgWCLAJNtHV3DIyJSgNE6jQwHZLWQu7rCzcMDb8QOcQgrpb6e6/05VfgzobhTUkral2QpyV7j36vrRStU3sbfEHnBPGT/sgY+I+MQc3lH65na2RlTPTUYplbB+jboKPeD3swR+6pXFleJpAQZQ/4TJgv2EFlnDM/nPkBN2uH2e4orWo1GkbikqB6ryzPGBQ/ae0Jig06w7zzlcpztqsHK3zNQXV4uWBMBEyZj2IXzMMvbHTE+rtCM80dCfBF25Fcj59e1Qt9m7J33Qu3nL1qA2FI0WHRJbF0ffH7m5edjbuoBzJw1C64Kteg9J0CnNg0Tuyxq0J6U0dLQIHrRVb5+4rrxVcg7C6lqFA63Rug67rbWNrTqW6Bt1Foq5dyGSu3ssabVGT3LrYPMKYJVKQjmCdqd2YN/Eiavad2WlpaGUP9geLi6i1ZgtgZbJzKoPXCyJyh6c0+1te0/AL2XM0jbBPoVEngfPHjQ4i1oazf0t6MHn63oEUC/8EJg3bpuj/AfgN7LEwigVG/Ais3plsWn9R7G3XkfVH5+YqFl3XsuAfRpnq7YVaeFNUBnNnDqw08h2FWN8+1YrWnG+MHZwbLDfGDcm1qA9IT92L3kPlw58SLU5+V0mtCwWXOFvZq0AJfeJEA/XJGFkevWCCrbx+6+aCk3U7/thWasv8iaOkoQhCxKykHxXzuwc/GtmB05Fb6aIz2Kee4l4TtS9RuKGrEytxyVBxOQtfZ7y3Bir74entHDMcpVJXrxPeTO8FEcOV5VrA/kngPvi72+ohZ/HipB7fufClsgEbyWH33a4mvPl0ZcdR28ho+we9oWBvvCxdkJ6ypqUa5twp4XloptrXtuVdFeg0qPwdZg+XuhqOTXJdXibVbGtxdWI/xQAVLeNguBSSFVyaR+4677Y++pzL1zO4yj/C54HMsPF0J9uAalu3Yib9NvQoWcoohSsK+UtG3rYFuDi4cn7r9yEtTBwZi3frtwczjf38uRhtarY9meXIIDaZWW6id/Cxk/fC0A1ugbb4NarsClQd74qqQa1SmJyPj+G8v+JZV76QWJgdP1AAbjb+P+1HyU6ZqwesooTAqJQ4R3KGTOMgHUIy+ch9SVn6IuO0sMlQwcMpSaKiow+eEnMUStxDnD/KAeOfj6r3dUN+DDwgrLKRxjdIYqtwF1OZlIXfEZ+LwMnXWGAN6hAW5QjfBBbkYVfk4sRtG2/4lnKZNcvDdKAH2wtjnwfnhdYg5q//4bC5xbETd5LNza7ThZIXfms4+Y1AkigduKNhh1OjTX1oj7BAE82yOsae7OSrlDJK+7u0m0tbSitdkohMeo0C7R2OkMVd/QAL2u+3UQ981ebKFdNYhYAz29cfK6KMotgEHXbPMjZA9QoshJxiq6Y+nx9HSMJ2q7kwKgb9++HSNHjoS/v+1eR2a0UlJSMHPmzGOaV2aAaHa/d+9ebNiwAbNmzep2f8dcQe8JQH/2MihnXWa/gp76Jwy3XdovFHeqnjNrHl9vzg4uGRaE4a4quDgPfDWwNyc2uaQOW/7OR8nO7cjfslF4d5N6xpCAuPQeX5NE4EhJC1O54NOiys4AXXiD3wP/oCBcEWS7Uu4S7u5wVLakBh2W55Ti4GVXYIyme6aGpE4szXNNagp+zduFEXfdjTk+7rje2wtNyVWdssRHLERH+ICCcY4SFYYWPJicD/XaLaj/6Re7h8VrYrSbGtOH+gixu6aMGnyUXITGgjwkf/ah5XNTH3laUNvtgTJpQ5chHnAJ7nlbzPGar1viMzEmT4fdzzwuvoLidqx6UeAu/duVHYvQ2+6GJjDI5mFcG+wrxH4Y35dWo97UKvrxTU1NGHvHvwWVcWGwD1xkzkIQSebmuKDU1gB5z/urtlGsM3UmE36tqENTTTWoSszE1Oh8PVpS05G68jPLxyWQwhfsXQuOrE1BcbiVKcUYklGJhNfMYomRF80XbAop6FrBVgbrIPsoffVXYhHOCHzrJWi9XfBBnJlpMRhj/d4CZBTUIvnj96CrKMOUh5eKJJYU5/p6IKT9mUDhOPYZS0F1++jLOiro9gA6t3c7xUwBHgzBBfgNB7PhfSATFa+b27ysI+7mO8FWF6mC7hU9XOgw8G9qlvi7uWJeiC9cJ/fM6tZR5mRVSRXWV9TBqNdj+3/uEvoSk+JmCMaZxDbi78R//CTRDuUV6g5qjtRXavH59mxRPWcVncFnSpCLQiT0Hfle0N3cU1T20T1Z8PpfPOKCgdiJo80A3ckJrsHm9YTCyUmAcI3MGRQjbTOaoCs307zZr0/9Gr6naV9DDoaqaqvBhDaDCbW1tWDBTq1Wi+pwb8LL2xueHh7iIyzcOBqzsDdj6bpta5MRxYXFMDTbBughoaFQtAtrD7b1wLHMS18+e1IAdNJKVqxYgauvtm019u2334r3TLR+6GMYDAZcdNFFwg/9xx9/FPT2vkSvetB7CtBnXw7NjCttHk5TPwF00sIfSStAS3UTXCvqIXdzQ5WbHA0aGa4N8cXZNqi8fZmfE/GZd/fkwFjYiOy13wsl9mHnX4yc39YKGpZkkSI9cHk8fBB7DY+FVCn8vKgSxpYW0XMmhbRNV+9r6X0KATFT7kjxdGYRmvIbULTkcZi6+JbSOo6LLClIY2f1Q4r0YCXqXOXi4Upv26FqpaigN+fU2R2icpgnFAGO4wWdrm3C99uyUL/5f0f0l1oPgoupyGB3XHBqhHjZUNCAL/fnQ2to6VRp5nYeMhkuC/IWtDWKo9gK9iXSZmkgI6Feh+/i8+GWlG0BFV3PuXR8FL0iZbFrULl/vIdGJF2UUV7I21WEn8trLQKD7OlnnOXrAQrPOeJvoLtzUN7cgqeyitFgND832ALinpSNohdeEjTO0TfcgoDokcjf9BtKdnU4PURefKnwCJfmx9Z3OHLbC3UJhubVIecJMxOCMebWxUj88G3L31EXX4qstfbbu7jhyaDavWZbNgqqtKBCO0UgKf7IYI8xW5rU7YJ47MPl9VK0/Q9UJR8SbT+kt7t4drAHrgryEfdLW6GZEDBo6J56Uyue25oGxZ7ETok8aVzDr7wGZXt2oS7HXEEPnHyK+C91K5i08wwIwsIQX2golqh0HEZVd/eCXbWNeCe/HIb6ehx873UUfLcaw/0isOjtb0Wf9f52nQa2eXhFROL6UD+o2gVBTaZWvLM2GUxqM4El/TZowUkrTrm3StgvDqZgkubFzBIok6pQsWcXxkW7dgB0AK4hoaJw48Hr3Zk+4UBlkxFtaBPtUQwJoMudzGruoqoqN9O+HTkIQPlsr6quFn3VXl5eAqz3Jgjq2ZMuniuDgDXQ07FxXow6AwoKCux+JCAwEOr2VhhnV8WgFkns6bz0dbuTAqCzr2HlypV2ATrB+4033gj2RfQlqMJIP/R169bhq6++wlVX2e737sm+BytA31vTiI278lG/fqNYhIhFysNLUR7gigI/F/FAOtPXnBF09Fi2MQVejUbsf225oN5NvG8JKg7uh2fEMCh9zAJetAqRFqRSP6nwr43wwGbnFuzbVwxPrVFYa2V89zWGnnO+sGQjtY3Uta7hrJFD42Bq1rftycDowiZzBbW9P8pnVBxi5l8laGm563+xiJ9pgkIw5ta7xLCq3WQoCFELb+dJHq4ItBLAIkC3R3WnGA6ZBI4S+4prsXNXAfLWr0PpXrPImxRKL29BxWMQaHidEozr2u2RjLVNSD9QJvpOuWCjvY5nZBRiF95oUetmVcRQ1GhzqAMtmEfrqBsOZWNcrg7lv28WfdMBE6cIKqp1lVQ6+FOeeNZSNcwIUsK/wQh3vQnXhvrBPcBV2IaRrqZPrcaqtBJoTa1QOEEo2FMcTaL5c/HlOmnwVM1+KK3GT+W1wgte09KGfy28B9qdu0Qyj6H09ML4ex60iINJ8yUJxHVXMWWlyHWCeYHmSJGnb8azyQUI+W230OFguIcPFfZqEtOCr8VcdpWFzs0qGBkTXcOaUcLkDCtFiqDBpV68akMaKhr02Pv8UrgNicCo62+2mXgpM7QIdoW9SAlT4RmjxgLou27nqC4XtsaTUtOI3//IQcX+eNFr3zWYoGJrhK6sVIipMgFelrBXMC5iFy6CZ2Q0yLxxH+nrUIyq7n6H1JrILmtA4aLb4aHsEHWj6B378KWghZq7t7dIQFi3Mj3MSnN8llhTUMF8zG2LLaKyjnov6G4+XsstRX5hHcKyq8R6cNqpw44A6NRccCXgZmtfaxu02hbQ3rapsgImgwG0WuM6o1Mf+iCgfJt0LWI8RUVFougXHBKC4iJz0kEKX19fIYzGUKlUaGq/P0r/1ri6wt/PvNYcDKwBaVy5ubkYNmwYEhIShA5X16AOUX1dPaqrqqBQKGxiLh9fH7i7mdeBtnrwZ8+eLfb9+uud28Z685w82nH2Zl8Due2gBehUSZSyVhEREXjjjTdw8cUXHzGXVFR85JFHkJSUJCzRehutra0C+LMK/+GHH+KWW27p7S46be/oAJ203+9La1DTYsRULzfM9XEXGa6vd+eioqgBe559QoBa6xi/+D7URwThoenRcHfgnpJ6o0lQ9JsSymGqqsGBN1+C7+gxiL7UdsKFfdYMKnMrfXwFXVUzPgBOLs5Yf6AImTk10JUWI/HDdxA0ZRqGnnchZnq5IbqL97W4CTsYOKE9ygubD8Mlq9CSiIiefyV848Z2OrfSHEx68HHI1WpcHewDTaQnNIG2lWeNlXo0ZdnOJtMTnv2WjhI7U0qxL7UCmT98g6rkRFhXkN1CwtBYXCgONe65FxAyPlAkoRgUidEllOPbwkphr0Q9Aqr9s6fuAiZo1C5CsV53sKNXseuYCVQHShwmVavHW4mF8Fn/l8U6in72+vIyi9czj3fMbXdD7efXyf99X6QGrc5OuD8iCBM8OlfVTQ0GVCdW2AUh3CdFkxyxQsKK0MEGPXL1zaIyGueuwb3JefAo1iHrwSU2L1lJl8Fa1Z4bTrz/EXEtLAjy6XYuBvIasPcb/LywAuUJZTj4hNnJwPr+KN0LeI8In3MWDrz1CpjQc3F1OyLBxc+ygkyhtBtC/CyiaM5KmXAxcASRxKPdh9pMrXhrbbKwhkp4/UX4xo1D9PwrMMPLTbR2iQWmUiaqn03pNahsbAYttYrarSql/de6ypARrMJrJleoDLZZNYOJXXLvznREljbh0PtvChEwKYacdR7yN68XTg+Vhw4Iq0HazDEsFPB2dsn8AG8ERns7lOWkveuB7MGH/spEWEYZEt54qdvLZurjzyCMPfZ+nrAW/+Pvqm5PKeqzMoTgootKhfmB3nBvtxkbTGwCguzbk/Mw4UCZxeHh4ruvsgB06jM4u7jASy6DXOYslNl5fzXpjahubhH/5jOUKu/uMplwfLCOE0n5vuGGG/DFF1/ghRdewMMPd9jJ/vTTT5g3b16nlr0PPvgA7777LgiaFHIFQkNCMO/ieXj68aXIy8vDG++8ic1/bMH6Nb8Iwbj7H3oAb75nZh2R5evh7o4Rw0fgzDlzceN1iyz6VRJrgPt97rnnsHnzZlRUVCAkJATTpk0DLZ0ln/Wj3bOO9/tMSPDY/Pz8zD30VsH7JQE6leqbDQZx/FWVlSD7mOdc6tX38PCAt7eZMWKLMcG+foJ7d/e+F3P+Aei9vxKc2qxlDHv/+U6foPjasmXLerQXfu0TTzxhV7Ctu53cf//9eO2110S/+c0333zEpmeddRYoDtHT6DVAX7sW6KbHu4Y96HOugGb6FTYPoTcUd1I570zJEz+m1haDoOmxv3hRsB/e/jkJrUaToHV3Beiew6IQe+2NmBHoiQnTwhzS31BSnVW2tGJMdoNQJmcMPft8BE2bbnPuqpIOQl9RgbDZc4Xo1wWhPiAVkdFSqceH2zNhaGoSPbdeMcMxYsH1dq3W+BlHUWtlBfXD3DIYEipQ9Ie5giqpbvM4Z/u4i96xzVX1MGob0WoyCVEXSZW8OzomQZo+xZw57hoUxWIfsiMEExTP/p4K30YjDn/5iRDHsxZHk3puQ2fMgvri8/GvKeEiYSWFobgRtbl1wlKIC3K5EzDZwxWj3NSCyq2M9oIuvkwsRGyFwl8NZeTAJCvo2f1HfAEKl78MfVWlsJfjwtJQV2tZgAZPm44hZ5/f6dBviAqEG4X+rHpwu47NWNuMpjSziJqtUEV5Qe53pBXhQF8TK4orsamyvtNhhFYZEFzZ1KmNwXoD0jjZb5v103cCkDCk6hj/bUvB3frzjigUd9+faRhWbrBYKw49518CcDFy1q1BeUK8qKbT6YLXC9uCeP3sea6j/UUaI387YWecLf4k3d9d7owojQpyXxVU0Y5P6a2tb8KXv2eg8uB+QeeXbMKklg0yRxSBGrHINGlb0JRaLaivbJ35s9bMnqlylyPX30Uktd709IWi1LaAlCMyrGz9Jun68f7PyahNIXNsVadNqE7OHnyZwkUodXtFxWDENTeIbeqyMpH61WcisRNy+mwhsDhkiCeUEQPb6tOT+05mgw7rtmSh/M8dnarlXT/LewHvCUzSD/elgnsHQ4bztmlnLqpq9EJQk8wz6tlI4WjtX93Ny49lNdh1uAw1L7wqWBIMCaB7unlB5WfWgvKjQrtCJpJYDD4LDboW6IwmME2lcnaGyoarC5N3J6r1gQCdxTdWtrOzsy3AsStA/+STT/Dvf/8bb7z+Ok6fOl2Iwe38+y8UFhVi+bMviErxk888hU2/b8K+v/aK8T6xbCl+WrcWP3/3EyoqykVB8UDiQbz65msIDgrG9s1bzSDU2QkJKQcxd+5cxMXF4dFHH0VsbKwQoVu7dq1oq922bVtPLtUB3YbCeQa9QbAJNBqNRROsta1NjJ1j5XtKpQpBQe2YiXZrGnm/09z/Aei9vxT6FaD/8ccf4sIlmHz++edF9ZwXt3Ww8kuPcmafePH3JUi36O7HwePgNj2NXgN02ri52BdWMgP0K6GZfrnNQ2g6vB2G2y/vkUjcdfQG15ug/WQlav/6G7GPPo7a6GDM93BHWkqFyJYfeu8N0V9JSrgUoTPnCCG1CLULzo0LcSgaM4+xpNmAh9IK0VCYj8C1O9C423wDZVCJ1y1syBFzR79rUnUZ7BpkRnxolI8QdGFwQbZ2axYKm1uw7+XnoVCrMfau+4SFzBRP2wJgA61ivr9Oi7XltcKzl/T88IP5KP5ruwAXI6+9ER7DosTYJGouPW7j67RgB+4IjQrTvd0EJZHKtPZC+IMe6KiqWG/HBzUZCI4Q35VWIzu+BLLKGqR88bHom6b+QOIHb0NXViK8alkFEOJG/io8Oj3aIobG46f/rT6pAq1NJlANXsY+u/aBqUebxdD0SZXiOrEVvDepx/mdsIWIdAykMD+fmC9aGzJWf4Xq1BSLJRgTb2TIMLraCvK126cN65HQYXN+PVpKOtvMSN+vCHIVwkmOFARUz2QVQ5uUhLT7HsCkhbfAZ/4liChvhrG2I2khHTMBKRfi2uJijLhqIVJXfSHeogMEae8UCmRcG+EPtYcKxirbAkKORmveXduIjbvz4VbZiH0vPSvGIDFnjna+pOo6t7Om/VpfR74KGS4O8Ba0VlFddGB7IQpaPb0nG1FlzRY7xcgL58N/wiSwl9zDT3NE37DZfsmIvblVWFVXD53SGc1WdorvDg+H08FK2/cD2lBODuz3herRzltv3y+q1+OH3zNRuvsv5G38FWx9YnsU75lTHnm9bPxIAAAgAElEQVRKWPLVpqeK3QZMnIxhF8wT/yY7hxV39qNHnH+RSALHBLoPCiX3HZkVSDhUarMVimOTWlr4bzeZsxCKZeKma/Khu/sinxd8bjh6cL19555MxOZrOyXlCNBHnzoRfkFmj2tVcg2c29oEU0bSIhHPTf7P1Abw/1a2Y13H7aRkT3rnynqv58bZXBTpLgjQSUVn9frCCy/Eiy++KDbvCtAvueQSAd4/evN9YaOmaxfCZCWZGIPx9PPP4OdffrYAdOnvv7futNgte3p64lBiIs69+Hw8cO/9eObJp4UA6fhpE0WSYM+ePcKKzDoIbtnnbiu+//57UXjk8RMUT5gwQYB66Zg+++wzMaacnByQacwkw5133mnZ1ZIlS7BmzRoUFhYiKCgI11xzDZ588klRwbYVEvDl/Jx99tlQKpWIj48Xx7Bj+w60trVi5IhYvPfmu5gwzkyB/3zFF3j59VeQk5eLsJBQXHfNdXh0ySOWs9uV5t6V4s7jvvXWW8UYv/vuO3EeHn/8cfGaFJy32267DbSxJg587LHHMH/+/E5UfAqF/+c//wFFxTk/PH4WX3kOt27dKv7esmULTj/9dLHbV155RTArEhMTERw8MCKeg5bibn3xLFq0CLfffjtOOcUsRuLI0WuA/u23gMa+sFbNM5dCecZVxwzQM7RNeDchD7570nD4y4/FFLKCToEoghTeTKUeRPaUuYaEIOe3n0WWPGzOWWJ7Cn1cGuwDV9LAHcDnWboOqL66pbgGiqfeQENBnuXyoGfrxP88ZnmA6F2cwV7BSU4KXNMkR2qDHsa2NgzXqODlrYZqhLeFHcCHzKbfM5GmbULyJ+9DW8oFylIEq5R2rdYG0l5L8rymwjI9aWP0Lsh5sIPSRYskpbcZeJPGzuy2FO1OKWLs6jjfbinKXKRq40vN9ipdgwvzyUEDrlhKBsHNB7IxMj5feNcy1H4BwqOXvbRGnVa0NDAo5DNlUgiGBh0JKikW05xVC1OjGYRTidUlwgMUgWMYSrQw5HeuylpPyYkGq2QN3JiUg9E5jTBmZqNgyyZoy0sx9ZGnLD3m1F5gK4O1uBWP2d9ThatmR/WIHWOsbhJK97ZC5qYQFGdHCSatXssrg2+DEU2vfYCGzAxxaLzvOcvk2PvfI20yJ9y7BIV/bO6UpORnuiY1bpoeCYWpTYgK2gpbi/iBmBch+JRTisN1OkzM1lru82pfP5F0pNr02X4e+L2qHmyBGuOmwVh3DeQaOQ5UNyKe/1++TCS5GNQm6TpvnBvxfAg0V855L5V7mWnijhQUQLs1Odf82682wGN/Oor+3Iq67EyLfzVbnRTBrlAOsZ1oIkPlYysrLml8748aChyqBG2abAWTl1K10VHmpLm1FT+V1WJfvVb0Ck8zOONgSrm4/sm8IptC5eMnLPfIspJe5/GTeRY68wwxlFaDATXpqdBQIMo/UDDNxni5OrQmBX8XmbpmfLMjG546E/a/8jxarPytpz62zLw2ag96n0dplCLJYiv5aqxrFiwLe+Go7T/Wx5ula8I3W7Og3bZDWNEy2Bo2Y24cokYMEQCdv/OWAxUiEccKus1obbP7OxDby5169Kzp7nciCnRTjw7QCYCvv/560cqakZEh6OldATrxxbat2/D9V99CrepggA0ZMsSSVLMH0Pf+udsimkb1dtqwLbrtJlF9T4w/iISDBzBlxilYtWoVFizocH042j2ALlH8fgJw0vFZcd+xYweuu+46uLm54aOPPsLSpUvx9ttvC+DOvnG26L766qtivIxnn30WZ5xxhqCjE4jyfbKGH3roIZtfLwH0r1d9jXFjx4q24SsXXIVZM2Zi0bU3wN3NDfsS9mPOrNmYOGEiPv7sE5G4ePPl1zF+3Djs2Pkn7l/yHzy/7FncdP2NgvrPsG5rsAXQObZnnnlGgGgmJQjAk5OTBdOAnvPsi+c4yJRmMuKee+4RjAipV55zNXbsWDE+zg9V95mcoL4YC70Mjnn16tXCPpvjJJ78+uuvxdwOVJwUAH2gJq8v39tjgM7s4kUXAatWAd30YtQ8Mx/KuVdDc9plNg+nJxV0LroeTswT1O8Dr7+EFm2HuBUtl2i/JNH8+CWx19wAz6iYTt/HjHik2myhReqfVGnu9RyVlgJU2w8N7fVHbX3gq+IqbC6rxcQcXaf+eb8x4xF1yWWdLHMogFXvLsc9QwIx3kUJ9lPTUoPUbNJyu1ph7NtbiJ0FNaK/jsA3aMqpkCvkWBjiB5mN5C+VuyXw1i+D68VOJIuY/XfcBk1+Ga5c9k6nfjrJs5q7JDXXZ2oIjJU6tJTphCAK1TZpD9aTBSQr6Kyk24qBXoRyAf5URiH80utRt3u3xfbGfegwIQAlrl8nJ0S7KoVSs1wuE20NFEGzF6R2tRlazQ8Zq+1Id9XuK7P7uRMtDvRNcSXSEsuhXbceRX92UOZsVcutD7rMUw7vCE/8J6p7Kz7pM/zNsEffVnDRJCqFNqiNvbic+2VTLsAfSi9ERWUdvD78HjVpKTC2i/lEXXI52tpaLT36sdcuEj7HjFMefxYF/9sk2CfWYT2PJV4KLJs9Ak71pPzbSVY4SMsHkxRvZ5VgdFKFoChL4ojsJSVtWQIe1mN1VsmgivXFweQy7MitEiyUhrwcITY47IJLLBR56TPS3Ei2c44mGCkd53NZxciv1sL/UB5a07NElVgKulgEumpwUYC3cGGwdy+3C9BHD4VzWi3YBmQr1CN9IPNwHBvKb0qqLMJ32pJiqHx8EF3rBL8GI3J+WYPy/fEYd9d9UPl2JNysveDZkx586gz4u8jRaGyF2tlJaDJQyT5CrRTODo6sXs+1w4bKOpG0gs7cysagUjurwmzzYEjsMumcUpOAyuxdQ9Iusevu4YDsIusxUDTzt6JqjMvTWxxwQk+fLQo0I/1bEOrniuHhw0RlVHegwvws7OY+T6sym4l8finBvYsdcN/Du39vADoB+amnnopRo0aBdPauAL24sAjz51+K3Xt3Y1jEMFEdnjNzNm67+VZLxVsA9F9/RsL+BJFcWPr4k1j781pRUWePOsPHxwf6piY8/dzT+HLVSjSU1+K7H7/HguuvAbEBgXRPQ8ISBJNDhw494mME78uXL+8E+gnIf/vtN/z11182v+all14SlH9WxW1FTmY2ImOisO77nzAmbiyWv7wcv2z4FfE79wpFeyloec2K/rCR0Xhh2XO46nKzy1RjY6MA7Fu3b8Pa1T+KxIA43Vbq/bYAOqvaFPtm8LnNaj+r9kycUBuMOmNUjud3Mt5//33ccccdFoBOVsDu3buxceNGyzGSNRAeHo60tDQMHz5c9Mqz5z8mJkaAf14PTHIMZJxUAD01NRVZWVmgyICtdndmTgY6egXQSeE4ygVyVICeshWGO660S3FPadTjhaxijMnXo+i71ZZeSmmeuNiSK1WCuibFhHsfEtlyVlZCVQpEa1QgJdw6XKf0sVJ6111AXR2wssOHua/nLEfXjCczi+CdlAun9VtRmXRQMAEIxAjIGKJv2FWFjJYW5ES7YaIX7XN6Vtkpr9Hh661ZcGqvFnMGfF3kom/fzSqzLh3/MSUu+joJ7Z97/HAB1Nl1SHnMLP4keV5Lu7UGF7efPQIux+BXzR50u4tQemG7D4wXdmKDTlQKqeAfU9qM1C8/QV1utpgC+lpPuG/JERoCx5pUMdY0CQEpe6EZ42dWuT0BsWRrKkIrDdj9rNn3nEEFbnoT24t8PxeUeSkwxl2Nh4b1nOalTSgXXrG2QmoBOAFD7vYrSGN+bH8OAjZSsXx1p229YmKhryxHc4254sWqMBOXLTod3ELDUH04Sbg3SEGRPXn74iAnwAWVHgp8MWYYYGi12/LhKMKRjx/KRUBmwxGgmvd+Au5LArzg76MB+2T5uyb9lJRcLsCrKrT4akc2miorUbZvt6imcR6sKe+co64A3dGYFDxGib4blVaJhHbbLOn8SjoNbOM6w8dD0JHtefhaA3RZmx4mJ3PF7YPREXDOrReJX1vhSH3IbHd4O78crVXVUP+6HbUbNsF/4mSMvMS80E7/ZiVq0s2+5r5urkLw7NOiSiGYeehds/ryhHseFEwcKSlja8z2wOxA3xuydc1YmlkEt4OZUP7+l1CjT/t2pbBbpaUqg2KSM707hKxoIcokdnfJ3ObcOnPS20Y4q+VgG5yjBK+BdRW1golO4dvtZXUYsS8fhqpKFG7bAiZteP75DDktpA2eXipEhpmTFmzvEt5q3QRFxWC0rdHCj/E+cyzRW4BO6jOrsIcOHUJ6enonkTijrgX5OblIy0jHnvg9OJh4COs3bcCM06bjtzW/wFkmw7IXnxX08gMHzHokS59cirU//dQJoFOvqlGrxZPLlmLlN1+hvqwGq3/4DlffsNCuMrq9OaBg2znnnCNo8fwvq8t0myIFnEJutHGjnZs1ZZ4VY9Lsy8rMhQNWo6mWTiBI8Mz3KeJWXn5kgp3nKzstC9GjhwuAPjZuLK675Qb4ePvgw3c+QD3X7e1BSjg94oMjw444BvbrU8V9z/a/hQK+C+n0zOWozX7wtgD6XXfdhQcffNCy/3HjxuHSSy8VdPz77rtPVL2lSjg34t9Ugpcq6P/617+E+J5Ll3ZhVt+ZsDjvvPPEvkmDZ6WdCQ9eB1KrwLFch8fy2ZMCoJNmce211+LPP/+0CczFj93J6Zh80I9lkq0/2+8Afdk8KM+8xn4F3QZA/7OmAT+U1Qj6dm2LCUNLdDD8sklQ1roGgSwrI1JEz7scvmPGY7y7Wtgo2Qs+rLjg6HX0E0DnYuu6xBx4aY1ofOhpGNqze9YPWGsbpL6IV/E7PkwrRnS1EeEtQIBSAYXM2b4wmI2+tF7PTx8/8OTmw/AqqbWorlrvhqqyo2+6Xbw03E2Fc86MPqYKJ1Xc7S5Co7ygGACRMKpzL00rhH+ZFiVLOgCqNA+SuJfEBGH23iXYtV9UhrtLWJyoPmS6Uby+LgXG8goLrV8TEIjhV1xtsRbkXBjkTnAxton+WYpbaVXmRRIX4PPa6ck9uQSZlGBywlacqDEf7TgTqhrxx45clG3dgsKtW8TmMqUSSi8fATTaTEbxWlcqK19jv37KZx+iscjs9yoB0FYnYH+kBm1OTvhyzDDx3GHLh+i7tBGOUEF8dn0KXGu0lgohD5OVc1bQWe1kzzWBB38PtmJjUglS0ys7dYweevcNkeCQgvMzyk2FaZ7tQosO2If+UGo+/NPrUbZhPUr+2tFpqMOvuAbesaMsGiPdKfBLAN25zYC5jXdhs7u5CvMRAXqpDoZCOy0P3dDmj3Yt9/f7T2UWoaG4EaX/7lgUS9e5tZgkLRjd5DLRd03BTLbK5W34RSTAqfAv9WTbOz4y7Zi4drTYUFGHXQlFKHrlDdFfL9luRpx3IQKnTMO5vh4IaRd54zpH5unSIz0RahToDtlx93CQFjCeC1LZl2UUQVXfBDnbxV1cEF3WjIxPPxKCqgzX4BDE3XKXsBYN92kWifeoyCg4u8ig3VNqdy1ufa7b7DDtuI1okzwGplVvATq/k0CO/dfsTZdU3AlMm+v1KC4uthw6q9MUiZt9zhnY/OtGAeyX/fdZUXm3APSlS7F2jRmgEwjq9HrR71xYUICb77wVBYUFSElIslDcV365Etdce02vfgpcg7IavmnTJtFLTgV1VopZSWaVmfbTXVt/SSsnJXzXrl2YMWOGqEQT4BO4f/PNN6L32pavO5mCrKBHx40QAH1U7Cjcee9i8V3vvP62oO5Lwcp4dU01QqOGYMWXKzDt1Gkw6dvt6YqLIXN2RnhYuBCSk6rekt2cLYB+7733gv+XguCbugBPPfWUeJ1gujuATgDO7yGjoGswmSAB8Y8//lhU5Slox32ywj6QcVIA9PPPP18IuVEsjmrrkoR/14m1RQM50ZPfY4C+eTPw5pvAunXdHmLNsnlQnbUQ6lMvtbldUxeAnq9vxmMZRQKwGpv0CFf6wH9vqqAoSjHmlrtgajEg5fMj6R2SJ3J3WXFpP32iM/cTQOcD5rWD+fD73/5OarP0Kqdn+Zk+HhiiNldy+0OgRdiGODuBHtn2KK2kvbFicKKDPY9vrUuGtqQISR+9a/l69uBTsIftCnK1BlFqJWYN8YHbMfYIs+eWKue2YiBYBFUGI+5PycPw3AZU/fKbxdudx0eQSnG8oKmnih589t97xfhA5qM6piSF9djph25vUX6i7JV2F9dg965CpH2zQog4DT33AjFmBimonKMibwUKfV3gRBscq+oH6yBvjBwC73bxs55cvzz/jtp7TQ2CNWU12JNajrDqFtHmUL5vj/leoFQKazHSd8XcjJuAyItttw+1mUwo+GMzvIfHWuiudRoZ0kPMDJwVYyPFf/XJlRadgq5zN5C6FDwWU7MR7/x6GI2FBYLezoi8YJ6oljIkJXpryyhb57+wVofcSq1Q+F+XX4mgqmYxrxUJ8RYBSgJ9An4pHKliTDbFs7uyEJxRLuw3GQo3d7iHD0H0JVdYhP/43DtapVMC6LK2ZpzRuNgC0D+Oi4CsphlNmbZtKGUeLg4jmvbAjjSE5dchvl0sUDpnTLRUH+5QcOffYUoFzg3zQa2xFT/nV8JgJf61MNgHLt240AzUM/Fo97Cf0kqRn1yBhNeXw1DfoSMy6rqb4R4xDNeH+EHp3b1gqr3v0O4vs69DcAIZVfaOj/fH2/dlIbq0GRmvvUJxFYs+i0Tz52clV4Nz/TzRqq4XArLRMebWxx4DdOox2HE6OdY+9L4AdPZhE/zR2ox0b+FoxKSKVofy9qozx0csQaZuwNBg/LT6R1x06SV4etnTnQA6weNPBOg7zc8WKXbt3oU5556J22++Fa+99Kr4jnFTJ4hK8+69eyx92dL23YnEWe+XFXUeF3vI+X/20lM4jX3ZtoJAnLZxZB1LQacqVtVtAXT6v2dnZWP42FgLQH/z3bfw489rsOXXzZ2OOzQ0VNiqDR0RidtuNx8DW9/IqqPIHhMWDFa0LQJszk7Ckq+3AF2iuJOyzjlk0BKPQFuqoLNn/YcffhB2213t4aSxcx547t98803Ri07veorGdRXtO9q9oz/fPykAOrMf/EH11HatPyewt/vqMUD/8kvgu+/6HaBTvGZbRR3+Pv8chAdEYN7S1y0epRxLxLkXILB94d6VpihZiVE468KRQYKa25xnXwSrTwuwxYuB2tpjprhvLq/Fob8LkfruWyIDLoVE26QPq5dChv725qZqt6B32QiZq0L4Y5/oaKjS4bNtWahJTUH66q86fb1U+ZvkocE4d41Q2KZ42bFES7kOzTkddCfrffWZWXEMB0Qwti+pFOUvvyFoedZhrVJN65vx3q7mnvNjyNx3PVRTvQH6w7at50hz1kwMOO7qzRsTi5GWUSXsBVkZHkuP80CzgA5Bx6aqOvwWKO+kOs33POQyLAzxxalWFnM9ORXdJaoGktpNoTwqtufomxFboEPdhs0oi98No96c/XdWKIQKee56c2KUyTwm9S7098TeOh22+zpDbWhDeJXtPmLqWNS6mVXcJYDenF2HlgrbtNaBSFhZn7+K0kZ8/VdOh091u1I5t5HAVW/7xd/ILUNGSR2Ca1vgrjMJqiuFNmd4d9gUcv+ORHP/s6oeu3bm48BTj1tsRKk1IFXwIlQumO3jIf7sTiCO47IH0D+Ji4CcLQ8HbVdQSY3WTBp4JfdWYyve+CUZ+oJCJH/yXqefO11PmMzJ2/SbRQSOrKPhYV5iXupSKpHVYGbOxKiVULjIRL++vTYfR3L2sB7oJ1szoa3W48CbL1s0Gfg+Kd3erq64LMgbfWUC6dOqYao1Cyp2DVWMt7DpHMhYWVSJwgNlUFTVYf+r/xWHQo2autwspK360nJoo2+8He5h4bg22BdlylowwRQdHS3eF0KxtrUQOw2tVdDc7WzIvuQurZO9mpceqrgTjLLyLQVbYakWToBWV1otqqs33XELvL28ccasORgeE4PKqio8/+IL2LsvHilJyfAL9BfVXOsKOv8m2N20fiNMBiOqKquwbcc2PP/ifxEUGIiVn67AqJEjxdfuid+Lcy46D2PHjMWjj5lt1kg5X7dunaiO23KSYqWcAJLUdtLZ+ffChQvFMbBizGowVdupRM6/m5ubRW95TU2NAPCk45MSz97uKVOm4NdffxXVdAL9rgBdJCq0LcjMzkbsuJHY+PN6REdGoaa2BmddcA6mTp6K22++TVSeDxw8gLPPOhujYkfi01Wf45577xXHcO6550Jfq0X8/niUlZVjQXtfunXhlFpHc+bMEUCZ1HsGVdy7q6BznsgIoOU11d3Zk0+ROIJbCaCT/cB9soBLqjyZDHyfjAGpz5x97kwWEMiTiTBmzBghHGdNre/V9dcPG58UAJ19HVQrtLYP6Ie5OS676HeA/vQ8qM7ueQX91r2ZGJZRiaQXnxfjY+8tfa6pXB02ay5CZ5lVVxldAfr4xfcJOuz5fp6Imh4mFl76QxV2BcH6BH77CaCvO1yCnMOVSPyAAL0Uo2+6Q/SNhs08A+5qlaDkOSuchd1Pfwar1cyQ2wpStvr7+3py7E9sS4N/lQGF/9vUSRzMZ2QcYi5fgDg3tei9pvCTeoz/MYPT7tRqZZ5KqGPt27T1ZDy93WZJQg5Csxss6tT8fFdhNPbZ+ijMPYCskPVnCHGgffY90Zm0YfLmeMbyDSlQ60zY9+IzkClVGH9PB3WVAP0rhQF/yo/sGZdo2r09NtLhKBRkLwZKsfjLokrsKKmF68adMCWliXuCdZCaO+SMs5D82YfiZcndgBUzg8IJH3u1IlPXhFOqWzEbCuhaW7G9xswWqXaTISuoY3EtAfSWMi2ac20nMgcqaSeNOSerGusOFqHwj99RtOMPiz7HwmBf4dfMcDul59oD0n7J1GIblZ+uFZMrWoQg2BFBSi8B6bEswnt7YdrZfk1yMQrSqizPPNqG0j6UQeV5KlNLcbS2hO3VDfiosAJdK+gE6Kwma+PLIPpvbcSJ1KSwN3Xl5Y345s8cVCUeROaa1aBrS85vay2bB02ZhtK9uzDm1sXQBAWLBJ+U2KUAGi0WWS0j1Vkke2VO0HHMdmy1umsX6KfT26vd8Djf+CkJTkaTsBIji4LaChSQ9I0ba3leqvuop8KiRkupbRvK7lpJejWIPm7MsT+2MxOeyfnCUleKoWefL5Iy4n4QGg4Wa6jQT2FgJmiKXeuEu4sE0Hv69bxe6IZiK6yFw3q6v95uRyp7V4Cek56NkWNHCUCblZQOdw8PfPfDd0LMLTU9TVC3/Xz9MG3qKXjy8ScwbrJZ2M0WQCfgZZBWTgo5Qeu8iy7BZZdcKvq9w8LDBd2bkZ6RjhdefRFb/rdFVJkJFk877TQBEG2Jx9FSjP3XxBT19fWien733XdjMdfQ7UFleDIB2FvNRANBJ8GupExOAPrpp5+KsZLeT5E0juMIgG5qFUyCzKxMxI4fjS3rf0dMZJTwf09NS8V/X3kR8Qn7xFhGxo7El598ieHDo0VfeddjiBsVh7vvXIxJ48zz1gmgq+WYM/eMXgF07oN0fVbMOScU+mPFnj3qEkDnNlTop3I7rbE5Xn4vkwZUtadCPIXlyKDw9TU7+DCBccUVV4jEB8H9QMRJAdB5kVJ1j5kmR4/jAtDPuRbqafNtDr0p+X8w3LlAiMSxD3X5+sNozci2SV+XxN+kHVEg6cBbr4g/rStud541HHJ3s9psd4vPPqlU9xNA/3FnDgrLGrH/lReEbRR7Khm8FZ7p64EwlQtU0V6igt7fod1barcPvc/ieX08SNrA/bAtC8bEw0j7uiP7zd1NvP9hQeOUKmWuVNfuh8Vyd312R6OH9nGY3X5s+S/JkFXWCroiQ/Li5b+ZbApSmsFxn1oyenjArKCzkm4rjncVtZDXwMYMtNTXIeH1F+EZGYPYhTdYDuWO06PwemMdDjUcKV4lgcweDtOyGRd6YlFuh744ENTW1rY23L07E8MLOnv4SgcdPG06/MZNFP2mtA1jWIubuYS7Cx94CWgYy3Uw1Rmwr0GL7/VaVLrLLcJIBKTPDw8T+2jVtUCXaJtVY77u/HvUv9rbc9CT7dOTyrAhvRzZ69YIOrqUhJVamI5VWZxzpT9QIQCbrTjW/fdkjEfbhsf40eZ06Ot02P/Kf0XrFz29yaa4IcSvUxtsT5JpO2sa8H6BfYCuT62Gqc5OBTXKSziGDFRUGozYcrAIZQX1OPzFx6LfeOS1NwqXEkkolm1BuvIyTH7wcQR5uuNCf69uRfM4FvZd87lg8xroI9A9HnPEe8TGgmpkxBejPjcbh7/8BAETJmPYhWarJQ+ZDBcEeELtIu8z06q7NROdAcg4GKioazHigw2p0CYcOEI4Uzqm8f9+EMp2X262wKgUcpR41Au2Sa8BejvwsznedsrziZyL1hYTmhr0KC3pYF1af79E3ZZe43qmN2sm7p9991XV1UL1nMCdVHQpuK/+LhD0x/wZ2T9ubBVVfVL76cvu6uYmhOFMra3QWdkP8vvYuy1TKmy6/jAhw8RMXn6+EG22ntOunuj9ceyDeR8nBUBnX8GNN94oTjSr6KRESP561icnMtLcEziQ0f8A/RKozrmuRwC9qKIRP+zIQfn+vcj5pYPSI82HNaVPvNbufS4pXPOl68aEih5dKSh+JKqDdrLjqhE+ojepx9FPAP3bjekobdBj73NPwm1IhKgMUbDmAn8v0QfJG+HR7LN6fMxdNnQkm7E1GWUoSCzvxIag+BPVqCc98Ajc5TJcHuTTr8kKXhOC4mYjSB1nkuJERbO2BR9uTEVdThYOr/gUFIMbtegWyFyUkKqEvBboy3w81eW768nm97Iac7zi7YQ8tObUI+G15TA01MNZLseUR82Z/RaZEx64OA4v5ZT0K0DnvrsTx+N1oJnIhFD3Sr/9OScvZhZDdagKDfm5RyQofQKcPmQAACAASURBVEaMRMyVCy1fRz9nF3dPBEyeKuj9o9zU5vsFhYu6BK37ns8uRq6+IwFDQTCVVbKru3uCzEsJ9YgTyyqRhvDbjhxkVjQi7esvUJuRLtTqnV1cRFW0vxJH3YpGRnhAEXhsLTV9vUaoUv1daQ0aGpowuqAJVUmHkPnjt5beWqHJ4WMWMOsN9ZjXwx0puUBrRw96oIsCL8eaBYe60+g4Gn2+r2M92ue0JhPuTy1AS7MR43P1oL7C3uXL0GY0Wq6Jkr/+RP7v68Wu5BpXTPrPo0Ig7DRv96NaJzZl1sBY5diikRwX7Uj3ZVYivKhRXA/Zv6xB5EXz4T9+EqZ5uiLWVS0SNlKy7mjzauv9bhlmx/lZcLTjzanSYt22bJT8tR35v28U55nsSuuY+vgzwmZOSuJRYDe3tkhs0muA3k6dtnlcTk5w1siPe/uX9N2trW1obGgW1WhD/ZEteuxppzicFPR474ntrPXYJKp4RWWlALUKhQtCQjozlKheT/YAv2+ggwl2JhQK8wuFKD+PiVXz0LAwS+WfoL2qqnMLH+eJYNtZcaQSPy1421pMAujT35xMAUldXRKKG+hxO8r3nxQAnU38vHB48Xd3UbO3YqDjmAB6RgZAKx8rj/CapwnQr4d6mjnD2zX0iVvQsvhqUUFfsTsXNUUNyFu/TlDUuoY17bfIR4HQ6hbRm+nkLBPiSZdHBSBotL+4eVhHdwvxXguw9YNIHLNzK39LRUVtnVAt9x0Vh+jLFoiFNhcUjONp79KtzdgJ9rr9fGsG6qubLAB9xILr4B4+VFT6eE5JT4tyV4vqcX+CJfp/2/N7PZrgVH/+RkuLG7B6V64lKRV18WXwGzcB49zVYM+58OWe4A8+bI9ndFdFPd7e4B9sSUdzXbPlGoiefwV848aJ4Q4L9cCFpwzFgXodXsntnFSh1sTyEX1XMe2uUiR+g7E+kHv2Inl3DCcouVGPH//MgSK7AIkfvtNpT0POPEf0mTvJZOL38FdNo0XoihUztj+o6VHcjSsFhZXY1+4MJ9CKi2Jp1tEdKON2rtQhOM7XoK3pe3VtEuSmNiR+8Daa62oslntcfB+Nyt3T02Eo0cKQb5virxggZ4uSZgOWpBUKG+YhFc0IrDPi4Nuvoqm6CnE33wnP0FAsCPKFi1Jmvjf2UpPi25JqrC8vEyJxv7t/hFvD/TGj3ZLLWKW3LxQ3AC1API9v55WhIKcG7vtSRYJGV1oiRP6sE1f17UlObi+5oUxn8irA/ajaKt0JZQ5E25Ota7fRaMIje7MQmVtvYdBwu9iFi+AZGW1hU8h9VVBGefUZQBGgMGFnK0Tikm0fvbzeevpbPNp2B7Iqsf1giVDiL93zN8bcehcqDuxHeUI8WmmPFT4UoxbdatGU4DzQlaU7IHG076T4mD2hOOocnai5qNMZ0NRsRHNtrUhKOMvkCAoJQXFBvhhCQEAg1Or2FqZjqO4Tp5Tnl0Lb2Cho5+yHtnktKGU2Ae7R5rM/3yfrxdDU3EnBXqlUCoV4KZqbDSgtNTMOWFmnCBvHZa8aLrEIaMNGKj1blFUq87wyAe6s7N8Ww/6cjxO9r5MCoLNnoifZJvapD3T0GKCvWAGsXt1ZJG7VKiAwEJg71zKMagL0c2+A5pRLbA7NGqB/8NthaGsasO+lZyFXqTFu8f1CEKe5thrOChdo2kWjpF7KxX4+iM+tghxOmBXmjRFhXjZvluyn6k4srld9df0A0E2NBny8OR01pSWiB509c0PPu9Ci3N6r4+nDBdNtxagfRNh6ekjMfr75UxLAasgLT0HtH4gxt5n7k+ROwGg3M0g9Vq9vW8dDoTwK5tmKntBEezpGW9uxGvRpYSXiaxoxtMIAvwajsNEq2v4/jLzuJnhERGJRqJ+whTqRLQcD4Q1OavEHvx6GXqvFvpefg/fwkRh+lblS7OLkhPOmDcHQYA9QPO2xjEKUNHecs1vD/HF6ewWxL+eD1x/bPezFiQRnH+/Pgy6nDsmffmCxRpOOa9IDj0Lu6op5Ad7wVsjQ1NqKLF2zANkUunJxo7q2zxGJyd7Miam+GfrDZk91W9Ef4oy9OR5uywTaWz8ni4/tf+V54eQgtQLdFO5vror2QxWnO8HAgVIuX1FciU2V9XBqbRMVY1NVlaWdi7Z6oRoVqE7dVxswLsIPN9SgJONqRI9ai6HqjkRUdy1AA6FTQlr3w39nICDdrFpuHZ6RUYhdeKP5pdY27H7WbFEZPucshJw+Gxf5eyE43APKiO5p2Ue7/tUjfYXI2EDGF1mlqD1Ygf0vPyco/VKMveMeeAcE4uoQX9FTz9/qsUZ3CWz1aF/hLDMQsXNfIfbl1SBj9SpUpyZj0oOPifsCg/Z6XCfKNRrRGjYkykf8PhjHAtD5e7CnyXCiKM96CqM1GOBkNArNIgZt5BTOzjDV14G/Eb/23mS+d6zH1dLYhNrqWgFou1MJZzXdVhX6RFwbPCc8N9aq6/xe+qR3dcqioB5baCXLNDFHdpIr0n5ZPWcV3d8/ABqNua3HUSn+J2K+bX3HSQHQB2ry+vK9xwTQv/6aabxeA/TmxVfjvXf2wjW9DnVZGUj96nMhfDJq0W1HDIGU15QwFWYHe+HakJ4pjnOhR2VaexXTXqmdEqDT1oQJij6GtkyLT3ZmCzsp2kqxQhZ82kyxmAgKchN0xeMZ3SUsjjed2XpcTFS8sykNTVWVwvvaupfuuhBfyJ2cuvU3PpY56s4Huzd00d4eQ46uGW/uz0VQrRGKOooVNcNZrsC+V8yiiOyx9fILwALa/4S5WxYYvf2evmzflFEDY7UdmucwT1Dhvr+jvlKHz7dnWWjdIdNnIXzu2QhyUeA0P3eETg2xJN1qW4zYWFmPyhYjJntocEovldttHXt3lTNRLWJ10gZtvD/ngUrBtBLTFhaK6rmTXI7xix8QdGZDfS3G3/0fDFErhTYFe0BJX2WVk8kN2r70h+WeEArcX253IdonQc1jnKSWRgPe25Qm6MwUw/KMiETsdTeJvd4cEwTNGP9j/Abzx7sTDBwIQMpjWpyShzqjCd6NRmEnVbprZ7syuVkcbrKHK8a2M4t6S2OVJs1k0iEl5UqMGdPZKvVoopEnkmHEYy3XNmPVpnTUUBTux9VHnHMy61ROTmhqa0PmD9+iKvkQRi+6VVRT+RzRsIrq3/29S4w5odzuGoFiiarRvv2SEOrrRfvpn9loLGvsJCbKfU1e8qRgmwlWyTh/Ac6ONbp7Pg5Esk4aj2DUGFuFQFxzXa1obyDbjpxJyhoqnZwwwUODMSGeYPuiVN0+JoDebLRrO3ciACqTaYWNzXBh/3lNNUxN5me0a0io+C8FIhXWicp+oN5LNO+eXEe97XPvyT57sg3v23wG5rNXvF3ojixkKsZLdmZ299MNw4D3AjIKabVG8O/r5wc31/Y2p2NgJvRkTINtm38A+gk+Y8cE0L/5BiAd5swzLUdd89TFUJ63yG4FPW33L9A8cAvW3L9J9JRTlZW9VZEXXwr/cRNxeaA3iptbsLO2UYgcFXsrYFLK8GxMKEJtKe/ama/uKJy98nruB4Cek1GFdYnFlj6q4VdcA+/YUVgQ5APP/2PvO8CjqPa33/TeQxohEEKAJHQQ8GJDsHe9FkBFmg37Va+I14qVK1jA3kBREBQURJSqAtJ7OqQnpPdks6nf857NLJuwOzu7O5uE739/z3OfK9mZM+ecmTlz3l953yhfAczsaeaiBax3dva3v5RKdUEtvtqTicq0VKSuXI4+l16OiAsuFkOf1TdE9bR2wzmVY6q11waEkfPnd51EZH4Nji55G02diEvYP4n8SWy2ulhzVg6s2kt+TmLpps43U1ZjbrwVwcNGiPp7r1Bd9oQ9TS6dk9e1NkJpSZ8Li2rx/a4zUmLRV1+PkDHjdHJaLa1C43pSoC/6erhaxViutC+UHqQEoTHjpp+b/64yZky8uiMVgZVNot6S5IEse2D5A+3eIZGiDEgNM0cY2B0s3hJA71+kRVBNs74Gf+SjT8HVz1+AMVtTr1ta6pCUdMdZAJ1zKpth1IVlUCzN2JNcjIMpxcjauB5FB4yXvlEmL72+Ac1aLRrKS+EV3huUnpsU7GeSm6HzsyP3TeCxUrq0Gs+cpW2QN2XZxmSUsyzu7dfh4uWl/37QQdGbWu9hAUJ1QA2T4yTpDmcdx3S6vB6rd5xx5gYlDMWAW+7ACB8PjPI9wxNhrDwwIyND1CYPHDjQYieLpI9tbF67oia5urEZmrpGkSEg7Rk8gkPg6OoigLm3kxOFCPSmRp8ESCVpognuJsO5YOkh2dC70kStfH0zsrOy9JftExUFjUYDL5bZthsj3oIIttM45DIMpLY19fUoLi5GYGCgkGeTjFJramRudeV82etaaWlpomTAGH+aYiypsHMObaaYxBQ2IHcYUyXefvttbNmyRdz0FStWCIkCemgoPH/HHXcI+v3uNsWTaizFnQCdaTaXXaYfhhxAr2tuwXvrvsWd323E4oAhQu9XssHT7oFfTKyoq3KP9MZeT2BreTU8HB1xTS8/DPGxLJonq/Xs6gSvkSHKpl4FgH7ocAF2ZpYhc8NaFB86INI2A0NCRdSUhCb2ZsllCo+IlplgsGZERsiZ2ZkgK/VYIX47WSJSu5niPWjq3fAfMEjch/vHRwtGanuZXBaB2ky1DS2t+K2sCtvTS8ANd3nScaSvWWl0aNxsURpmYpCvWWIjteemuVKLhlTjac72ktvaujcHiflVZ2oK58xFYERvka7Jmmp7RO07z5tctIgRVEG+pkIqtan79cnuDDQU1unngDXGjI5w080a5FhPd8R4uqlKlGisL1wXKLFlyroKqLIGcEtaMVJSS1GZnqpXdyCLfdTlV4NsDLPH9IVblO2pvNJYZQFpN7B4z03KRp22GaMy63WEaK+/BPegIDCdOdrDFRMDfW3+VsgB9J5AnEcpvHczC9E3RccPQNZ2EijSiZm7YwtO7/4L3hGRSJj9gABp3i7O2FdRi6a2NpCfggR6fv39FZP8EYhpmGln4rtI4EOZS3t/F429fyRu+2BrGuoK8nDisw/Bd4FylK7+/iKQMc7PC8N6+6smESrnxO9qZx3ng87tN7anoVd1syh3IVCVuEpuDglAUJAHWIZgyqgzzZpipmyzPtmS9VyqSTbWdlfUJJfXatHU1IK6Ah3RHY0OKNbABbt0zJYQ5G0kcVPheyUnMdd5LrqyFp/XJtN6fU2dwFK0ziBa/JGZBJSkbWsTGRB8rzkvDq46EmY5I++AVtMg9MYpP8fnRrLuyhhQe79na3ssAcjLy4O3t7dgxe9sirGkwo7YDaDn5+djwoQJ4P/HxsYiNTUVmzdvxqWX6jS9Bw0aJPTu3n33jK6jwj6rfpjiSTUG0Fet4ptiBKDPhNvY6/FzcSV2l9XAxckBN4YGYOXxfJyXnIiEb1bgzeqO9cDDHngEviGhIo1dDe1nc2zuijVDVQDof/2VhcMlNUj55itUZaSLDUeol4dODqYLNKf50MhFy/i7RWn/VjyF9IW989MJOLUCKcs/R1VWBkY/MQ/O3jpQPnfyILvW/Mkx1ZKZVa302ZLGJryUlo+w3Ho4Z+aipbERmuIiZG78ucOsURqI2QOMEpIscEiYr12Z043dMjKX1h0yQQ5EsjrW/KpIDsRn4MN1J9DM2tFXdLWjTFkM9fLEdSQ+66J3oaWmUTC6mzJ79oN1cYs2JMGhshqHFr0hujB23ksI9HDDTaG6CDEdZi69vc2m6VrxGp51iqzclJ0jp4yWLtp9Ci7FGjjSMwF0UHeIv3s2fPpFY2KgD+KGhKrqyGw4WSnKBoxZVzmKDK99z+FTApzTqjJOIuWbLxEyagyir70JY/28MNTHE56jSZwpv9GUeyaam2uRnDzFaARdljivi6S23jqSDefMalQeOQyfqH5I+upjODi7YMTD/xKb7vKkE4Kvg/wMw6IDcdHgUDSeroW2tgmu1DgP8QSz4ywxuSwi8V3sIqdh5z6fSC3BtsRCvfZ7v6uuQ+h548VhdOSx/MVzQIAgRFPD5JROCAy9xoSp+i2Q63ORtgnv/3USIdU6grQj7y3UfSvapQaFokO7xKSpdpj6zFRo1iKzptqYipLJPhDgtbQvSJ0PcnSw6zzwqo1NOvJoKbWdJIlkqWcJIN/+Mw4j0pircfcN2pAbu+Gl7DwPHUbV3idmRFCrnfdSYlnvcJwNfRLs8K1taNBoxFy7uxmQxdrQrsp3p1ub4/zT4REdHQ0S83U2xVhS4SjsBtCnT5+O9evXY8eOHYiIiBA1EoykSwD96aefxsaNG0E5tu42xZNqDKCTNI6epssv1w+j4oXr4Xb1LKwNPx9pKWXwK6oS+q1cZGjNv/2A8XsPQeIt5gc34sKL4Rc9QLANT44MVA0saRLLwLpnY+bk7QKPBAU17TYCdL70m7ecREptA44tXYzmhgaM+tc8fVREfPjsHLnm+OlR5GbcVF2+o7sTPBgtUMETa2y+Sys0+Hb7SQFWj330nqihYy0drdUBePSGIfb98DW1ou6Q6WihWqCMIHTp3xloLawXJE/ainIRHaU3nPq9vtExHaYn2MUJVwX7w5sbwbCul3diHaZJTWgVATPnZd/ePOwtqBSkaImffyTmgRkElI+6pJevTuZMRYeA3NqqSSxFS61x0kB7lTywP7lFNVi7KwvFB/Yhc+NP+jmQoqQkZOrKlDq5yKm9ORE+3p8FbW4NavNyQUZuqhkwtV0yQ813tbXZZcs7VCLeUvptp27v4g1JaCut0IMRnisRn5EAq3eQl9D2tsWam2uQnDzVKECXy6bht8FzuMKMMys7yKjh8s1pqEpJQtqqFQKgM3pOtnKylhtag4sDZl0aiyAv2xUXCMQ01ERvNK6ow+iZx9Bgu30XjU1XsbYRK35NhVPLGUdmwsz74B0ZhSuCfBHm5gq3QHe4DTBOkmvlLUD90WK0Nhifh64sv/rwSDaaMqqRvvo7lCfr9si9L7oUkZdMEtlmVLZQsh4QpBcVFQmQTseoUmNmETMwjRkdZPYkDyyubkBdXSMaKivEXon7JN++0aIrfdxdBTGoPeVXxV6RZGx1ponyeIy958Fw7ltrm8CshmPHjok/Dx48+CyAzm+mo6v1yjdM72eUPjMzU0itJSQk6J063BM7+bmKCP3/ZWNqOzMLDLMLDOdDMZZUOIl2A+ik6b/vvvvw8ssvCz2+Xr16dQDoH374IebNmyco/bvbFE+qKYDu5wdccYV+GATojlfNwkeVsUBOIY598A4CBycg9rapQsM067UXcCugB+hkqKWcED2D1L8OjA1QLXJkTkpIkazSgw8CNTVWk8TxxV+37STyGhoFc7lnSJhI0Rvq7YFxIb6i7rqrjPWmjKSbMnuyte5NLsJe1ha+tQDNDbrIlbQBHxbhh0vGn9HzVDofGk0mMjKeQULCKkWnyG1A2IBahDspu3PxW36ZILoytGH3PQyPdmUClm5cGOCNCDdXOHMTOCS4Sxw1nSdKlhxIxehRTZkGX/5xEk21tTi06HXRjahJVyB8wkViwxXLDILBXae93V01l7/sysKpohpk/PQDSo4ewpDZD8ArIlKU8UQEeJqVh1L0oFtwkCyBJNnibQSFprpSWqPFt5vToK2owJH3/ysOo7O2OitD/PfIx56Gq6+fACRRvbxVzy4hOSJJEo2ZrbXeFky/OPTlbSnwr2zC6V1/Imfrb/rTE2Y9AO/ekYKfwZtcJe0M1Za2Lx0vB9DlsmnE2mhnfowTycXYllyE3K2/o2DXH/ohMp2b/DSSFfq7YOCAINwTpR4/QnOpBnRUmTKSjzn72+4MUHLfqptb8Maf6QirbEJtbjYSv/xEnDb22ZcQ5ukh1gmWxJGrQ21nOsud6KgxZl1Vj09H7tvrEztkGFHhZ9QTzwgyzbvDg+Dm7yab3q5knuWOYRCDrPbGjABZrbr/zu03N7Xgg/VJInJ+4K1XxM+SJC8zJqLcXe3+Hhr2SW6NFGuCSgSFpu4FnWZNp+vAbxQ12h9/4glx6Mcff6w/RS0yR0mC9bvvvhOBVSpsMbgqmT2d9rY+rz3lfMVYUmGH7QbQqaG3ZMkSzJ492yhAZw06ATpZA7vbFE+qMYC+ejVAMoUrr9QPgwC97h8z8WNdjJ6JVvoxMH4InJNOdADoBGkuDhCp7SQjcYtR78NDWS3WGpoyRURYNgJ0LnLf7swQGugEJpyD2HYN9CERfl0KSvjx0xwv1ZGBGDFXbgLD7RPF3fJnFpJKa3Dk3YWCjdWQIO72MX0QGnWm5kfpO1FV9Tdycl4zGhEy1oZcWiuPt4g80EQnJX3xpUeSBPOsoXGTEezvj1vaU5n5m2DpjvKxSTJL6XwZO04uksiNIDkS1LA9B/KxL6ccedt+R/5O3QY8Ydb98O7dR0jMsb7YXs+esf53R80l69yWbkpBY43uPXByd8eox/8tHJRM27R3mYmxeZCeV6P3mKmtzGpwtj6t2li7efVa/LgpTfyU/+d25O3Y0uGwXsNGov+N/xR/47yold1ieBE5aTGWGHSV4zS/vB5rdpyCprBAMPrTPIJ7gZwsJIeTiM88uBl2sz5CxHabm6uRnDzN5HopV5dvLqXY1jVi444MnCyvE4ouVHaRrPeFlyBy4mVCfrMt1AMB0f6I93JXFZyK7yKj6Caix2p8F5TOzw+phchPLEHGT2tQcvSwOG3QlLvhHzsIF/h7Y3Cgl92eTbmAhto8Labmo75ai8+2pKHq1EmkrPhSHDb6qefg7OEhpNTC3V3hHh9od9m3ugOFJtPc7ZH1yEzLFRuSUd7cIrKJkr/+Ai7ePhjx0BMi+/Su8CB49vZWlYdDyTNZz/0ideGNmPsAf7Fnt4cRlDfm1IiUczd3dxw5cgQMbF5zzdW4/vobdJd0gK4cVgUVA+k7uGnTr1i7dh0effTRszjC6KR0cHfusiw/e8yrPdtUjCUVdsJuAJ0pGKwxf+edd4wC9Ntuuw3p6ek4fFi3AHenKZ5UYwB9zRqANcQGAL38+euwKWIaSkMSkLF+LUoOH+gwPMaLGUH/wMEBvS+ZhN4XTsRF/t6IH9TL5giBsXmUk5Ji+hpfcFmzEaBrcmvw6f4s1OblCM3j8PMvQNRlV+GyIF/07xegioapJc9Pd0QOGZ35eEMyGtvahPY1dUyHP/iYSBmi1FyfUWGgJ9RSsxSgy0UL9Qu+2AhbL1sjXWPT33ux9qsv4BYQKNLcacwWCXBzxc2hAfAaRTkv2zbcls6XsePlNKGF7BgJ06wEaKKmq6AWJzLK8HdpjagjpbxeQ3mZ2HyQoTrMw11EhQiIbAUglsyHOYI0jtuWlDljfdm+IwPHy+sEQSKJEiW5xYsCvBHLGuMRvayea0vG3vnY+iPFILu9MVN7E5aUV4kt+3LFpYoP7UfmhnXivyMvnoS8P7aK/w7/x4WImnylWCP7hfnAY5D6mRVCZutAEUzxxHqRf8GGem+l92Pn4XwcyizvAMjGPbcAcHQQxGcXBfgggMRnKpS/NDdXITn5TpMAXc5ZRx1se2VTNFU24MNt6WJ9YJZZa/MZB3L0NTcgZPRY3Bjij4g4nRPfHib3bbB1HVTa39bmFryzIRlOTc0dsq861F7bUYpTLmLaVU6rjIxybDiSj9N/70TO5l8Rfe2NCBl1HvydncR3096OIuleyXFz2CNyXJZbhRX7c/QlgOyHRIp3ob83Yr3cReTe2m+x0mew83HanGoRxTZmLuFednEYsCyVHDEnjp/A+++/LxjVmXbOjJHnn39eH9lW22mkSSnHzk078NVXX4FlyiT17mzEDFQNUMMpYO096annKcaSCgdgN4DO9AgyuG/btg0xMTEixX3r1q2YOHEili1bhpkzZ+KNN97AU089pbCr9jtM8aSaAujUC7zqKn0H8559ALsjJyLPJ0qv9WzYewmgb7j8aoSNnwBvJ0fcfkkMvPwsI3dROiPmZJXMLno2AvRjR09jx6lSFO7dhezfNmLATbchaOhwIScXHBvYJazVhnMlR5BlL+buwtwqfL8/B/VFhTj+8fsIjEtA7K1TEefljglh/lbLOVkK0M1lVHCebI2WaFLL0VKpxdp167Dp118x6I67haQciUfGPvcKKA90cZ8AZfwHSh9yG45jOp9g+Dchr2JtVPd4VR3SDxUir+KMjBc3XNx4kYk5fsYcODjp5MQGRPnbXV7N2BTVHy8R0i3GTG1g2lLXiKW/pYpL7X15vvh/ib2dyhVuEfbZ7Ch5NOQIJNXMomDK4gcbktDc2IiM9T+iLPG4vntj57+Efa++IP4tsbcTlPUeFgInX/ukF8ttwrtEXaOtDb9sPYmM6gbhuKK83KjHnxGZFZcG+gpOFjVJyswB9O7IpuD9TjpyGlsySkUmBTMq/GNixXpEsrzRT82Hl6cXpjDNf4Q60TJj74Q5pRNr10El7590TGpWOX47lK+XY+Xf46fPhk/faIz380K8t4eOrM1OnDUitZs8LSb40ewBTDvPz6e/JkOjadaXAA1/8HG4BwdjWngg3Jwc4XWeZYzslsy/4bEEay1VxtP9PexAnvnHn1k4WlqDkz+uErLDtKFz5sIzPEJkETkHuKsmM2nJnMiVf9irFKjhZAWayxqE2lViYqK+u2QOf+45HbksTe2STK4BmRuPi2vGxcUJ9n9jJtQdGE23MnBhyfyfS8cqxpIKB2U3gE5tvsmTJ+PAgQMYPXo09u7di/PPPx+UXiOj+wUXXCBq0l1cLI8aKhyb4sMUT6oxgP7DD4CHB3D11eJ6mqoGJL38PE7FjMGm73+BtrICrj4+SJj1oPh/bVUVTr+3EExelAD6bVcOQpinjkDOXia7ETNXX0aAXlsLLF9uVfeW/ZaKqrpG/aZ8xEOPwz84REisKWaSt+rKxk8iWZwpsjRGCvgBVNOKKuqxavsp0SRrbll7LTk43gAAIABJREFU2/fKaxE29nxcHuSL6L7+cOtnnfa1pQBdPKMyH15p3Nam+gsiPpKutbbi9ddfR3Z2NsY8/R801tbA0dEBboHBIk2v78AgVSJiat0nuSwTaz/Cvx7JQ3pGBVoatSj4a4eoJ876db3ospTCPNjLHf/w97brplNujuR0kF1CPa1+Lo1d8+iR0/gjoxQlhw4gY8NacQgdNnTczIwM1tXz2ZC5YcuzIBc54yZEZFGoQN6Xl1qGHxMLUHrsCE6tW63vcv/rbkavkaNRmZaKnM0bMWjaDHgF+GNan17wtSNxoOxz7+UC94QgVVOpO98jOgxXbE1HWU0tDixcAL/+sRh85z3wdHLEHWGBQnaSEUO1rKmpEikpd8mWBHVlNgXHRZK2jZvTcapei8PvvInG6moMuv1O+A+K0w+bqd1xob52i+BLF5IrgeoKqbEdB/JwLKdCr/aSMOM+ePfRcbMI5nKVnwdjz5Uceaa130Wlz+/RzDL8cbgATbU1QuHC0dkZY555AZEebrgi2E91QCbXL1nZwRh/1djz2Qc6Llf/no5CTYPIMKT1v/YmBCYMRaSbCy4P9uuW6Lnom6ZZkAsbM3vU40sBA61Wi4cffhjk8+rXr5/AUJMmTQKzj2n2CiaZ463S7xHtmMmi9H3paccpxpIKO243gM7rk5KeKe4rV65ESkqK2LRTcm3q1Kl44oknjMsEKOy4mocpnlRjAP3HHwHS7V9zjZAo2PlXFjx//gD7HUPx1+Y/RTelOlOpz1kvzxcAfd3lV6L8tsvx5rB+CHK1PqVYyVxoMyrRVGJcUsfsR88GgM7U7h9+T0d+fYM+ZW3cfxbA1dERd0YEdduiSwIUU2zuaqYaN5RpsHJnJqpbWpD963oU7t8jbtfgu2YI1n5GDj0HBlgsjSPd86qqPcjJeVVxDbrYEDa3ivQpU3X4UtvWRFCl8gGqMzA1a/ToMRh++1Sk1Wng7OCIYT4eGBqu4x1QA/AoefaVHMNIAR0XRj/CTHNnap0FAI2b7qy9+VhfWKGPhBi2LdUUsq7Oj6nkKtSQKRln52NkUzqVlL8ovCgdN6t/T8NpjVbUnjfWVGPATbciaOgIIaE1ok9At0RHpO6by6JQI1LR2tiMDzckg4n0ycs/15PBSensnadyuI8H/jE03K6OLHMlL4pIRBU+A8YOq8mtxlf7s1HVXnMq1VvTcRnp7gqvsepGC5uaKpCScrfseqnNqEJTyZmsF8N+2yOKV1muwfIdJ0V6O50Urt6+GPbgo+KydFRM8PdGlC81rwPtvk7IMdmzP2q8B3KPy+87MpBSXofjH70nnLqjn9Rl2pCjw8nNCR5D7a/JLgdQRKo/Sz/swGbN6OU76xN1zPUL/iOeB2ZYMbOGhLpjg3zgybIwO1zb2D2Rmwe11S0asqrwyaEc1BeexvFPliB0zDj0u/p60a3bwgIQFBMAl1D7cAOZW76YyVLP/aIJ2Tk194vsC9cerkFUufrpp59w/vjxuPOuu0Q5cEJ8PDyZsWtH+UM6SzTHSgWTvZxRB55R9P/ZmRlQjCUVTppdAbrCPnT7YYon1RhAX7sWYBbAtdeiuqQO3+7MxOg/vsL3O9JQAKDvFVcjbNyEDmMkQL9JW4sXr70EEXfdiffiohDgYl+ALsdeLiJEw2VqP20A6ARsH+3JFKmLlA8KGBSHgbffKdg4L++jnpycpQ8RASpT3Y2ZrSneUpvNtY1Y90cGCrRN4mMr6V7zd8MsArMlBjKDswagS83JZVVIx1jK3CmRLG3YsEHILHYmGmEEwiXEo0tqWy15JsRHmGnuzcY/SpZmekjA9/OTudi3cIG+K2TjHfHIkyKFl3I5lw0KgVt/dUjoLBmvdKxcNgmPUYsnoLagFl/tyUR1u7xcyMgxiL7uJtENQYKWEGR30iNz86NJLjMpLWTpe2DsWnsO5mNfdrmOIO+9/6KtpRlk6GYdvrOXtyj5SatvAFmswzzdMHxgMFzDvc1126bfRfnT0WKTKb1qpvcb6+iBvbnYnV+pZ28feNs0BAyOF+m8Pn39RMRUTWtqKkdKynRZgC6bTeHQzknhoh5p4NZDeUjMqkDaqm9QkZqM4KEjEHPTrcJxNcTbQ2QQ8D6ozQdhbF51ZHGlQm7JmJEHgO+CPayhuB6f7NRlmjGK6urtg6H3PyLKwM7391YkK6ZGv+TIM9k+2eNZ+6u2FRVUY9WebNSdzseJTz8QzQ+eOh1+AwYKnpqwcB/Qad5VJrdnJKM/mf3VMH5z/9qRiSPV9ag6mYaUb5fpCXSv6+WHXq4u8B4XrsalrG5Dbr/oHmt9gKVzh/j+NVAaua4JH330kQDlTGlnaruhOXo6ixJBS4IGlgy+qVQDrYyqg9SWWvsDS/rWk49VjCUVDsJuAJ015pRZGzdunNGu7Nu3TzyAX3zxhcKu2u8wxZNqCqA7O6Pqyquw81ABTuVXYcKu5TgRNBintM4IHj5K3/HMEFdoXRyx75LReKGhBi89OV/oQncFQOcHt/6o8TQddpDyNfSKGjUrAToX3rVbTyKvTovy5ESkr/62g65tnyg/VVNoLXlC5KIkbEeND0LisUJsPVmC8sTjyN68UaQu0ly8vDDy8WcQ4e6Ga/vpGJqtNVsAujlpHalP1DwlKYg5wijpGeNH5v777xenk4fCmySKjL7EB9ldv9TaeeR5cum+lkYMtFlVaCqqxw/bd+D3ld+BkUHyTZAckNbbzQVXRQbqPrLdXMclW/6iEkvt8b152J5fgYKdfyB32++IvXUKAuOGiOiIr5eb1RwMttzvzufKkkfayObP2uYVW9JRUlOLg+0OG//YgRg0ZbroBkHIxLF94EQpK0ZqnBy6LFImJy1lz/e2tFKDb7edFOPnt4HfCErLBQUECLlRezDXKwHojJSxTMdUBEnNWmxuxJf+ltLBgSsRJxKcRLIUqIsjh42nyR6t+1Z1NjXLPQzbLs+rxq+H81DW1ILmulocfPt1vf77GF8vjAj17bJonSBPZMS01XghutmAhpWL0tZ9uUjMq0TSsk9Rk52lB6mkUZ1OJ2YXfz8FUVlimcnRqFWPX51fg+V7s1BXWiIkiWmUFaTzkt+H4PhgOPvbh59J6a2SKwWT3TsrvUD7cc1lGrDMhIRwVLny9fXFa6+91qEVpra7xfrbvRxMbsxSh7qCp8TCKezWwxVjSYW9tBtAd3R0xDfffCPS2Y3ZqlWrxG8tLcaZcxX2X5XDFE+qMYD+00+AoyOOXDARO3ZkwrENmLBzGU4NGIfCsMH6/tW5OSKpj459dd/wGFD1VgLoS+Ki4GfnCDqvy8WWi67RD6+Lo5ATMmpWAvTczAqsPZyH2twcJH6p021MmHEvfPv01enaxlFbtXsWXnMeQls/Ptzk/fJ7OjI0WiR9+QlqcrPF+AMHx4uIGWuxWVc4ND7EphRWWwA6NyBCcs5EtMTwWXB0d4JHfDAcTESOdG3pZHpKS0sxf74uNVHS6+yK+kVbFwNJB9RYO3RSeMQFKboE56Juf6E49vvvvxfkmEPmPAiv8N7ib4yGhPi6w31Qz2BClZwJxganSIbRzKy0VDfiux0nhXxOyjdf6oivnpyPIF8fIbfHeeX8drfJys7ZmO5fm1WFLw7liLR2prfTmEnEjKJ4b3dcPKJ3l5NlSvNtjkSUx/FZVXOtrqzQYPl2HTgv3LML2b9vFBwtdFxGe7ji0hB/u6TzNjaWIjV1htmSINk09yAP1SKZ2Ukl+CmlUE8eyvkYMvsBeEVE4u6IIPiODO1SZQdenymudFCYMmtKn+TebV6Pjvx8TSMK9/2N7E0bxOG9L7oUkZdMAhUe4voGdimJptyayL6pCcrYXm1zM774OVmM+/jHS1BfdBpj/v08nNzchO65Ox2EsQFdukRyD1N3sNBkdg3ZvD1IFGZjyv2J/fnYlluO3K2/o2CXTn6U6ia+/gGYGhUMrxFUk3Do0rF3vpiUdm50b0BNepWyCSR+oNWrVwuOrksvvRS33367/rJd6aRhoIVlDqYY7Nkpe2dYdetNt+LiirGkwra7DaB/8MEHePLJJ1Ffb7zWS2H/VTlMmtQD+w9g9JjRpts0BdAdHJA67ALBPtpUW4vARa+j/qJxaLlEV0NDOxTtiZb2RWb/8BgsNADoS+P7wtfZ/nJTcnJS7CMljoySNFkB0Lm4L16fCOfWNj05HK/B+vMQNxdcFx6oGvGSNQ+BYGs9WGR6ExLjLxYfa63geDHWpOvaP/T2a2iq08l0SORwjKCS+MSbjKwW1DZ37o8tAJ1tmfOSG17PVOq/SMtKrdAzvu7btxeff/4Fbr75ZlxxxRWiCbM8B9ZOtIrnyTI4M91b4b2SZFmkTAJuYFiPLxFiUpqFGzxzGQkqDk22Kclrb+wgES0a1sukY0ZJHyuOF+Pr9CI019Xh0KLX4REShqH3PaRTMAj1A/Wtbd3kKemHuWPMrQnWyo7RYfPb9gykVdXrU7klUjgfKnj0DxHR4u6cA3PEkVyj2Eduym01zvOiX5Lg0tImUrqZ2k3z6dMX8TPutSsngVKALuuscXeC53BqsdhmfC5+33oKqTUaUXNdX1ykj5pSXu7a2NBu42WQK/dQM72ZM5iaUYbfjhToy+CkWR10x13wHzgYU8MD4T8w0G7ycsbuornSH57DdH/XKB+b3lt+I1rrmnBwXx72VNYha+PPKDqwF64+vhj5+L/B9YHZJPZkrpd7iqWSNVPHOAe5w32A9Y4DBgf+/DMLx2o1SPryY9Tk5mDY/Y/AIyQUI3w8MH5wqKokkda+sXJ7A67bnufZzksgVBQO6tRkyNHV3NyMN998Ex4koeYeylpStqNHge3bgcces2r4cs4Jsrl7jbR9LbSqYz3wpB4N0P/880/s2LFDTNuLL74oNujDhg07axorKioEcRzrKpjq3t0mTerfP+3A+OsvNt0dYwD9559Felp233H4KaMEqSu/xpi0FFAYIep5HRtlpacT0iPccV2IP9YXV6IzQP8gvi98ugCgsy9yDLUk7iJj9VlmBUAvyavGd/uyO2haSuB0lI8nxg0L6/LUvc7jYpTTVBqbLfqWrdpmrN1yEvnaJpz4dCnqTpONAHB2dxfREc/AYNwVEQwfEiDZAM7ZZnX1XmRnLzAbEZJ7x+hM4YdYSSTdWCTNMNqQm5uLBQt0NdeMokdF6Rh4SSZCUpGebObq0JV8IAXBypES8ZF96aWXUFBQgMDAQMFoT7MX86ot82puM2pLFJ2ZKiknirC9vEa/+aTed++LLxWRsfhBvVSvM7ZlLuTS/a2N9JcU12H1rgw0t0Fk09Tm52LUY/+Gs7c37gwPhB9l1Ly6991QUu5irZpB5/txOqsSqw/loiYnC0lffar/WXouru3lhz6Dgu2SUdDYWILU1Jlm10tuloUD14Tcli28IdKAmysasHpXJopq67H/jZfEn8fOfxkOTk64KyIIfiO6kTyyVAOyeBszAUhGh6jiYOQ8f7QpBY11WjEHba1nOEAkhYdZ/UKEQ6Sro6hywESaF5IGMt3YGuca112WVZEL54v8UtGkJD/p07cf4qfPESD1vEhdllF3mFxWmdQfW2QQWVa09lAeCjUa7H/zFXiFhCFh9gOiaRIDeqtMEmntHJore1Cj7IXrQUNaBaqqqvD0008L9at7771XdFmQE5Ig0MkK7guWEZMra71OQcZSM3QcGDv3XNjbWTpma4/v0QCdG1L+TzxQDg4mdYX5e2RkpEiBv+iii6ydC9XOkyb1r682YexlE0xvGI0B9PXrRa1aYegYrD5dLmpoJpSW4HRUOLzveUj0MS3cDedFBQq983XFlTgwPAZv0Ynxr2cRf/csfBjfF95dBNDl2NxNLjIWAnSS7Py2NwenNFqkfPMFqjJ0xC/j2h0W06JDEDii69hITT0ocpFDWzaj9ZlV+OxwDpo19Ti4UOekib7mBvQaMVpsvoZ5e+Diif1tikpKY1IDoLMtAdKZoq41X3JC0iKJvMlwDo8fP44lS5aIrvUKDsaCV3VjtwfzsWovf6eG5OrQRZo/o8kyKX1S/ab0kWXzd999NyZM0BFFqvEht8fY5SKoYnNAmTELa+XFpuZIMbYXVeFkVY3YgDu6uAjZPb4HVHHwHxXaJeRXSudMTmbKWvJIPlMlRXX4+LuVyNz1JzxDmUHwsCC+GhLmK2pLe4LJRU0N+yei6XS4Wak8cGhHFnaW1yBnyyac3v2XaNrwuZgZHQIvAjIbnZfG5rSxsRipqbPMAnSea2+N+LrkMnyeXKAvAaPsJp3YZO8f1zeo26Ln4nvAd5d1+CZIM9UixqrIr8bXe7M7ZFLw+n0vv1pwdvAdGTE01C6kbEreOTlyMOl8awkk6zMqUVpQI4ghk2ob0NbcjH2vvSCaDT//AkRddhWuDPJFv5hA0/xASgZhwzF8DoQTodK4HjqbtqUmv/54CdZllSIrMxOJX3wkpGf5DlzMsoYBwT0iei5Nn5z8nqObE8jmbotJz1pSUiLeffc9XH/99bjmmmt0eyhbympsBOi8vtx7YLgftGX8/z+c26MBOiPj1Dln9GjgwIGCIIoPWYePu4MDvLy8hLZfTzFDgD5i8DBRX8YXQhg9uqtWAVOmAN98o/tvQ0/U+vVo1baiovcYrDhdLth5L6ysQN6AWPhNvQdtTg4YdH4kLu/lh7VFFUYB+kfxfeHVRQBdjgjJZNSYAJ0p2suWmb1ljKZmZ1diU1k1WhoacOCtV8Q5Ehsp666HjQi3WlbMbAcsOECOOI+11iZr8mWuwQ3NoZ3Z2FVe20FWbfQT80TEbLSvJ86/uB8cXdQpaVALoHNI9ORzIbbWnps/HyWlukgAS1icnJzEJpuglh+wc8HkmGvZf3M1YBLPA+vHWEfm7OyMd995B84uLoKl3D3Ocnm5lpYG1NenwMdnhN2mUI65mhe1puaSbZallOH7/BIcXroY2soKvc51qKsLbhgcalN6pD0mw5zsmKXcFDqJHh3hGElTaVGTrsC4SZMxOchXlhGa57a01MLZWT0dcLk5oySmKFWpa1I0tZayWTO7hAzFe0qqcaJWo5ea6zVspAAjzl5eYPS83+hwu2XbWALQ5XSgbdkw87tDYr6fcstQ0tisL3uIvXUqAuMS8M/QAIQMCrKpxErRDTRzkJyzSi0296SDBdiSXYa87ZuR/5cu+5L8FM6envBzdsIdY6LgpjKTvyVzI0U1zZ1jaRSRDvHcv/PEfpA19xXpqQgYGIfCvbvEpUY8/CTcAgJE/bnv8F52ex/MjYu/c+0SzP6Npp331mQcGu6/PvrkExw+eBCXTrsLPnFDcVGgN3oND+32zCLD+TH7bbAhS5A8LXSQ0hYvXixkqR966CEMHTpU/M0mMjYVALocbrAlmKXk+TuXjunRAN1wIv/44w/ExcUhJMQ2r1JX3JzOAJ1pJEJ2jIRYBOhkpP7kE+MAfcMGaIod0BQ/Cl8VlIo6y4C3X0NeTCz8pt2DUb39ccE4nUTCD4XlHQC6RBL3UUJfeDl1DYCRixqbjBApBOhMZz1yOB97qurR5uiAjHVrUHLssBg7ST9c/fwxKyZUV9NqI7GIGs+F2DwfMM3Wyn5aWnN5IK0Eu0+QWOWMrBqjZYyaseb24qHhqqb0qgnQOafURufGjDVXSk2j0eDf//43tFotYmNj8eCDD8LTU8dWbkv6m9Lrq3mc0MNm5MgEg6+ct1iwP5P9t60NS5cuxbFjx/DWW2/Bz89PdNFaKbGKiq3Iy3tHUdTPlrkwV4ds6b0kC+yJU2XYdOyEPpVZ2nzfHBqAiFFhFr9ftoxPybksT6k/YqXahZELGDJik3OF7LzPLHoXER6ucHd2guco0wRIlZV/ITf3Lbvfd8Nui8gp5QbNaOBK5yjVSed7lbOvAGk1GiTX6aKFB99+Da4+fnrNb+G8nNDXrs9EY2MRUlNnK5pTWWlS7hGYcmpBlJ/ZSSRd4jc4U6MVZR/1pwtw4rMPxJox/MHH4durF+6MDBbO4a5O6e78+MpmmHm7CAUKW4zP2F/bMnCkRoOUFV+h6lQ6hj34GDyCe4lmp46IRHB/6+ubbemb4bnm1kXpWKV62JIjnJ+Y5XnF+Jua5wYWffX1CKEOuIcrLusTZJPKi1pzYM55z2eV47cky0oCfWVlZXj22WdFV1kKxpKwnkgqa440jxKyruHWabVLz9iePXvw5ZdfirnQBzlslXb8/HNg3TqrU9zZFzptWQZpzNQseTFsn2slHACnAHdQVq4nYAZz79M5A9CPHDmCESPkIz6sQ7/jjjvMjdnuv3cG6LygS6inTgKsrQ2YMwf47DOjAL35x41o4H5uxEgsPZqMhrIS9F21Arn9B8DvzhkYOzgE4+N12QKdAbqU4v5xQj94WlNbYsXMyJGCGU3TKS8Hpk8HAgNlI+jcYFQeLkL6R18ip7oKa1OS9L0LGjIMA26+HYya3Tw2yi61hVZMhThFjgTFUgIU1pSl/52HTaVV+pQ9Z08vjH5S9/G5JyIYvuPV1fNUG6BL8yhXCtF5riXNc/790UcfQXx8gjhErSiLtffW2vPkImds0xSZYnOVFg0p5aKO8vEnnhASKS+//LLoBjWMmSZujVVUbENe3mJFoMKa9qVzDL34ptqxJGrK9MXW+mas27QJv65di0H/nAL/+CFCYu6aQT0vei6NWe7+i3TOEb0U1QIaRt/q6uoE8c+I4cPxAB2e5CMww/5bVrYJBQVL7X7fO99rwaNwrFQRSOd8sB7bnNFZk5pZjh2Ci2A9ig7sEaeEjZuAvldcLZjsLxwcCrco+2hs69c1bSHS0uYomlNzpIEmOVs6TQadHoINuVBHFEoTNcckUF3wnPg3+UlGP/kcenu44tqE8G6THzXsujl2f6XOGWPPhtBbP1qCzzJY598mSsEoPzps7uPi8Lsjg+E3xnaOFnPPpZLfxftwvNRkur/UhpMCpwUd4NxzSA7gb44n468lOmkxyYbPfRzuQcG6GuzRoRaBXiXjsfYYc/Xolqb6SyU127dvF5xUhmVx1mRsWTsuS87je0zHgimzNMOK7RhmEjDQUVlZiVtuuQWXX365bm2wUeITKgB0c/w8apfudXYUk4zO2c8NTgFucPJ163bnpan7f84AdHd3d0EWxahBZ6uursYDDzwgXsqeJLPGGnSmuAtzADzJWktiq1mzIB5yIynumq9/Q0tdCzByJO5/4AGxOb8M0AP0keMicWFvnRfYFED/NKEf3LsIoJsjhDrLC1xcrBu/GYDOzf2RA/nw/PBDHE9PwU/tN93B0REke6Hd0icIEaPDLYo6WLJ4WnNsY14NGvNlFlxTzPadLma4mdtVUYutv6wXKXsSMd7EQB/Ej4pQXU7KXgBdbCS4KaGDyoxJZGg8jDXoZCt38mlP5+4BmRLm+t/5d3PM9iT0co8POus5lsjy8vPzBTC/YMIE3HX33bqPrA01ZF0F0NlPubpbaZ6URNINIy7vvfceEhMT8cKrr6HQ1R3hbq6IGd+7R9WeGz4D5tj8lYxfZFMcLQbXW0bNT548iY8++ghXXnklbrrpJnE5c7V73QXQ2Telqb3SvMmRpomslEPF0LS0YOGqH5C3Y4t+ugfePg0Bg+IxJSwQQeQjsLKuXek7rtWeRlravYoAOtvUpJabrL9VCiI6f2PyGxrx2arVKD1+BI01Or1xyo969+mLi0P8MGxcpCr8JErnRO44ZhOZSm2m09FjWLAiZ1Xna3BeD+ZU4FBNPTTt+tfBw0Yg5sZbRd350KgA1aTs1JgHcxFk/drY389kvbyQIj2m43lJT08XHEyFhTo5zuhrb0TIqPPE/pF7pnhm242I6HYi3bPuW3IZuNczZoxyeg7VZT+YM0PSNa6Lhw8f1kfPeS4VI7qbONPYGMztDXiOpZmX0r6Bz8ILL7yAUaNG6cuhGDWmyolNJYIMLlIO2kqSOGke5EpeeIxSlRtzzwZ/b6nSglkFNErVjhs3Dn379hX/Fk5ycuJYkL2k5JpqHHPOAPTbbrsNa9aswcSJE7F8+XL07q3TACbT+/Tp0wW7MZne582bp8a82NSGsQg6G9TXVpgA6MLztWI70NiIvJAQvPKKDogSoOdEx8B19myMG98HE4N0UYGeANDZj7oDhYIUzJid5a1jTfGMGWYBOr2KPxzMxbAvP0VixkkB0MVHZ+QYMgaKesuBw8NAiRZ7WsWsMXC791l4jrtZ0WXk6tDZgNIouqFntUajwZPtkhZM7R8XGYFRIT6C+EhtsxdAZz9NpXiuWrkSaenpgvyMGw3WWpP08eGHH4a/v78YIhdQbuDORRObB5Y+yDgnOm9OBdMpU+Nb2vDDDz/g999/70gOJ7NxMzdHXQnQzdWiS301p4UsARuWPTzyyCPi+fjPf3SpnD0xfbHzPZAjBOKxXmbYhSVWdG646biVjKy8ZOelmSt56E6ALt7/ojpos3QA0pwJp1VCkNE0RAmgshTmsU5SP2Oeeg4enp6YPjBczIe9zVKALpfmrqT2UjhqDunKqDZv/h1NTc2oCeyFbV9+ph/q4Gn3wC8mVvz7wUsH2v0backcm4sYmnMyGbsWHeIZJ8vwe1m1KHUgk39tQR6k1O7re/kjMj64S2XVlMyJuYwKtsGySNajOxjhmJHkN3kc976nT5/WX3bonLnwDI8Q/xbM7YND4dGna7gnlIxdOkZOflCsaXFBioIQhkCXai9NTU2iHEzMIQEYy0d6oHPfkFPE1Lw5+boqZt03dAb/8ssG/PzzekybNk1Pnq1KFqJKAL25Uiu4M+RMaZmHuWdOm1EFqigkJyfjnXfeQUJCgthH0Hoy6fA5A9A5kcuWLROTSqIk6gAfPXpUEMcNGDAAK1as0G9UzN0se/9uCqDzumIjvmQeHBhBX7ECWLkSoLRaQQG0LT5o2rxXAPT9LS347LPP0PvCSxD/1w7k9OuP0/Pm4tawJFxR+uRNAAAgAElEQVQQfj5cXUP0AP3g8Bi8acDi/vmQfnB1tEI+wcqJkWPrFYzNTKuSvFNlZcA995gF6JSHyC+qQdPChTiek439F05E5MTJoof0iI8aF9klHtHqi0PRNnMm/KbrZK2UmETsZepYcxtpnifJ1+3c+Re+/lqn6+sZEIh5L7+MEFcXWJr+paTfPMaeAJ3t8wMiatI1zfj555/xyy+/nNU1fkjp+Q0P16Xvd5dmq9I5U3KcOYAmNhIujnAJ9xYlGy2USDlViYyMDKFdSmNmQVhYmG5OuOGwkhiwKwE6+yrHZG84d6aYnA3r1V599VXk5ORg+PDhgpuApjTyqOQ+2esYufpbXtNcRkTDyQo0lzUIR7SkbMLzFi9aBE8vL0VRgO4G6OyvOWKkzvNPIkS3GD99JNxwA3rq1CmxCScBWO8LLhFM/qHnjUeCjwcuOT9KkCja27TaAqSl3ac4gm4um8Jc1EhyeHFjfz+5bEj4FBCIhgrdRtc/diAGTZku/nvOyCh4ROv4KnqKMdrLVHQ5Z6Ul0U46xE8fLMTPxRVoam1DyoplqMpIF8Md++xLcHB2xj2RwfBhDb6FqhFdMWeCMC2xTHwPTZkxAGHIbdLc1IS5D+kUfiST6o35b3PPVFeMU+4a9UdLTEqyuvTyFMSX5qxuX6F4phobG4VjPz4uDo+2O+96MgDjuKS1XW6MSkkDpba2bduKVau+F03+d+FC+PjqgnrmSGnNzbP4XSWALpWlyCn9mMouVNTP9oMMs3zXrl2LTZs24fHHH8fgwYPFEUoy2Cy5nprHnlMAnQPPysoSKX0kTKLNnj1beEQ8PNpZ0tWcHSvbkgPobNJx2efwWDofDt9+qwforXPuR/2cF4ETJ/Dn5s3YUFCAqupqUWsd/eMqHAvvhZI352NG01wM6TMDISG3nQXQ0y4bhvDJ4/DPJz/qUoAu1cqamq4OgLSigjpRZgF6HaOHjS0ofeklHCgoQN7t0+A4KB53MHVxWK8u2XxxPNYAdHObcXOREkNAIjE1sy9vLVwIP19fm2RIzD3S9gbo0vW1JXWYd8/jKMrXpeQZ2s0334wrrrhC1AXxg9LT9c7NzSl/twSYsPaQWSJMg/ztt9/w448/ikt8/PHH4v/NPT/m+lNRsR15eYsUgwpz7Zn7XdRcclNugijP8HxuyFyjfTtEO6QabkNQQl3XmJgYnZ4ryYRIwNmDTWRRcA5kmItNOSgM6+cMSX8MnwklNXs9AaCzz/xeNJdoBLmZUqMDwzXSW8whjZkEn372GQ4ePIght9wGr4Th4u+Bzk644ZL+8PF1V9q0TcdptflIS7tf8btkLmLG1FOmoJqK9kkb8JKSEjz3nK7enObm74+ICRcjaOhwOLm64cqoIMSODDdbW5mXtwTh4TPh5KQj4ewKY8SbWRCmTCh1MA1XQcYUI/LaglrsLK/Gpm9XiDR/Wti4f6DvFddggIcbJpNINbLnRY+l8ZurzRf3t1PGlKSp3traijfeeAPZ2dmiufHjx4tMKyqe0Gxi6+6KhwEQNdiCwMuIKSGLa65sEGoRNM7Da6+9hkmTJoFZtzRrsjK6aOjiMkrS3JWy2teRVLa5FXPnzkVzs87pI+0bVEvlVgmgs2+GWSCm5twtxh8uwdbjO2m9qa+rw/MvvID6+nqBGV1ddQ7cnpydec4B9A8//FDUoXMBqq2txdixY0X0nJu1nmLmADqWLxcg1SN5O5x++A6NH36Lxtc/EH+r2rULq5Yvx0EAw2++FY59YxC8+A18716FoE++xIymB9HL1UVsCH4sqhBSa4eGx+ANAEGxvvAc2RtDvkuEcxfXU9QfLzXJ1N0h2ltVBdx5pyxAN/xg5c2bhxPl5Rj2wguIiIgQGxfPMQYReQtvOjdIlqQ6WQPQ2SVzUXQ5j6i0oEgRIrY3a9ZMjB07TvfRNZTtMxg/5bMcHJzh6Ohs4aycOdwQoLc2NqCtoRpOvuqn0ovFub4BiXuPAk1taKzUoG9ABNzc3cXCyZpz1ygfuztiWqqL7TY+w5sg9F/TKkQtlCW2ZvVqbN6yRZTu9OvXT3f/YwNskhXsaoDOPjNCxHp0JcayFbfYADCtW5tZpT9Fyrj4xz/+IcqaaKqk7CnplMExbW0tcHCwvNxCbiPK5glMuBmh+oWhGaaBMoOMaf50SE+ePBnXXnutyCBw6e1tdl3rKQBdGpu5dGe528LyhmLymQB4e/FiFMEJzk4O6Ht+b3i7WL/+WfgowFKAzvaZ1sn0TlPGDBpGdTqbYdSUewxp483jho0dh6E33YrsBi08nZxw19WD4KhAavXE/qsRM2QpPDyiLR261ceLyNkJ7hdMR435LjDyK2dsh5FTGksduQ+kCR6C2Di4ODni9gGhCEgI7pH1pYZjM1f+QSUgD8putcuLSizdSUlJePfdd0VTlNOS1E74b3tl2Vl9402cyAinKOcyUQJmbhzS+5SWliYyaml33XUXLrjgAvHfSskX1R6XJe2ZI5IVpQ50RMvs66XySimLgNf39vLC24sWia6o9q1UEaCzz4JAVKb8z9aAhMSDQ0dWZmYmAgIChFOLpoSI0ZL7qPax5wxAp8d45syZIiWWm5LPP/8clF5jmhc3LPSIzGJtdw8wpQAde/cCBw4Ac+dCAu1p69Zhx6+/om7wYAy4cwaK6xrgMn8uVvk3I+qLlR0A+s+Zm7Cmuj8OjhikGKCfOvU0vLyGwN29P/z9dQuYGiara+jjKiKhwmpqgKlTZQE65dW0pyrB1K3Ehx4CK6su//BDODo62vRC1dUlIiPjGcXRDnaXAB2zZ8H3rtcsmiZzUUNR6sBISacF17Au7aeffsLGjRtFKi9TesWC4uViUiYlJWUGvL1HIzKyY7obz+MCWFb2M4KDb5AdhwTQo6NfRcvyj+Cw6gf4/lFk0dhtOVhEWdtgNvJjyzUMz+X9dVnyLTyGTlKrSZPtGJL6GB5UU12N8ooK4YAiIZ5khhFjbjy8vb11EWMFkkkNDTloaiqBj4+uPrmoiASaNYiImANDgF5V9TcIOP38/gEHB0c0NOSioSFLnKd2VI2ON7LS86NsjUmMtP/6178wcOBAAUg9SLqoINJm6fWOH7/O6DpRWLgcJSWrERZ2D3r1usWiZgXAIlGiTBSdDXaOhosow3NvoXjSJPxn8WJxTSmF1ZINRk8D6Kyn1iTJAzVjE7zwrbdw8tQp8dPtt9+OSy+9VPy3a4S3iJZ1pTU05CE9/QGLvilydehS38WGnPKhBmnZkkPDMKV50MCBSE1LEzXILAlqcXNEzUB/RHoq42YR698XP8EjZnxXTptJPhLDTsgBM66NDcnlIsuIJjlsxtw+DU6D4uHr5IQJkf6IHa2rwz4XjA5ckimaMj4LBOkEtJJE1ddff42dO3cKRYdBgwaJU5ltwoh7TyS9MjU2ubGLrBK+C0bAqSE5HJ3Y5VQJAoTMGknAhMQxCcCcHHr0IyAc+CTMqzUtR2vOMS/xlEhZBNxP0KFLQEoTUotqZJp9+qmuLNdGkjjphphzXJNg22ukdX03dG5L2aj33HMPzj//fHF5c3Pa3Q/NOQPQQ0NDRcR84cKF+tpDTh4Zjjnh27Ztww033KBPB+3OibUGoDd/8QUyLrgARdu3I+XQIUx86imk+AWjSNOAmnuvw+/R4ej71Src0/SgqEFmBP33A1fiJ6ensGPU5A4AfdjKRDiaIMTgxtPFJQRNTcUWbSrMzadZso+EIF00tLYWmDLFJEA3ZDdNSUmBdvFiAdCvbE/vtcULWFm5E7m5b1o0bmsBOufLXPpO57QlsWE9wXqsFjHdEvGLoWdcjtGT95YAPTr6xbNuF0HYiRM3mh27BNBdXSMQ+kMVHH/b3qUA3dxzpvbvvL/OCz+C51gdE7a9rfOHePfu3YJ9l+oTUl318ePHxEajrq4edNLQpGiZUpLBrKwFqKnZq7/f6emPCMAeH/9dB4DOZ4YWG7sU7u5RkP7du/fDCAzUybKoacJJwZrLetMbEWPXS0pKxLvvvifqxlg/RmOk3X1QoJrd07dlCqBL88MDuQZbalJqqux5Du21gu011EK68a138HdICL7asgXXXHM1rr9e52izpH6upwF09r9zZgnTMr/77jsR/YqOPjuqW1paCpJA0ZjGOWxYu0pKN3FV0KGVnv6gRc+CWOfJvm3GUSPqLwcFCK4JQQ4nSCNbsW7dOvz6669iDsjFI6VqMuuIGRiWMDRz/XP9aDXc4y6y9FG26fjO3zpTjZkiiWo8XYfGHB3hoMRWfd5554mSx5a2Njg5OMB7nLoSpDYNWMHJIpJ8vEQAcKVG0EHH7X//+1/hsDyL80dpQ918nLkySVPON8P0cIJyaqBfdNFFmDp1qpgPljYww+hcMTnVE7Lae8hkg0hR+L//3o2vvlrWIYvAZmk1wwlUGaCzaYl53tR9UlLC1flcw9pzloI8NHcu/Pz88Hp79NzR3QmediBaVvNZO2cAOqUCvv32W31hf+dJWLRokfhwk9m1u02a1N1rt2NouM6r2cHaU9ylCHr5lClImjcPXwOIY1oKdTvffx+bqzTI12pReOto7Bk+An2XfY97Gh9EiNsZgL7O6Rn8OWoiSGEmpbgPX5nYId0xKelOxMT8F25uYWIDbg+ALjyZR3QyQKZM1KI7NjPsYRSgd67d5gZsTnMzQocPR3g7IRQ3LM7+1tUXWg3Q58yG752vWvxYiVT9o8UiImzMRASQaWseupRMw0XqyJEjYDkHSzdYb0szx1YtB9BbWxuRmHiL2Y1kdfU+ZGe/AlfX3gj9ofL/BkB/60PFLP0WPwRGTuAmm2zW9HinpqZi6dKlol7MlEQkieEkYjD3gQGCddScZWW9gpqafQYA/VE0NhYhIWGlCYD+Adzd+xgA9EcRGKgjZVTbBJlPZrVgVaWxnjglNRWBgYGgI1YygjGCDzrqmDFFIzcBOQpottamyY2L79KQIT+flTZuK0Dv/J6b6oOU1icyag4VAUuW4hdnZ/x86FAHskBLWG57IkCXxs+Ub2ZN/bFthz5VeUBMDO697z6xqZLs6aee0nGzDBiAp556Sv93a/SC1XiurQHovK45QCL1jZtIbspbyHh8qhLahgY88uij4mdDdubONcpKxyYA+oer4B5/idJTVDtOSe2teM/7+or0XMl0ChclwllRV1cnosc0glXuE42do1qn7dyQUtULdmP9+vXYsGGD4KUhPw3NJdSzR2jeWzNNcuBUJw/GFP+O5SudFR3i4+PxaPv7wT6ca04aKXvU1Pzx2+82wL9DNoHYT5ys1JfNSKovzDjr37+/aErVSPEnn+ii5ypF0KWxypHJ0vmoz8JV+HAZtic5+On4ZfkD7Vwglz1nADplEwzTP43doxMnTmDIkCEKb5/9DjOc1DiPvmfrPEoAfd9eYP8BHL3gAtR88IEeoAe4uGD6kiU4sf5X/DjpfLRdGo89w0ei3/I1ZwH0tU7z8NeoS2QBOjeV0dGvwdt7qN0AOmfTXE2hqKMa6A3HaXecBdANU8LJVMx7yYWGgkJDJk+G86232uwdthqg33svfKfpJO8sNXMMnZK+t0hbO6JjtzWsLyQjqfRMm/Mi6gD6KERHv3RWN1ta6pCUdMf/AHqnmRER9C4G6PqNZnMrGnNqoCmoQk5urp6t3bCLjBCyxIEbFLFZZ6qfArkYeYC+A3l5b4tn4UwEvSNAj4x8DAEB9k37l6RPcnNzsWDBAri6uGDBq68KQEat0q1bt571HEup3XJpj5a+o8aO1wH0n0Tav6GpAdBFem6qeT4Cka7t4KCLFC5dis9LS3GwsBDvvf++UDKxNALQkwE655hrYENWJX788ntR2iMZtd5J+sSoMTPlaKy7dXfXOaqYRWFvuU1TzxRLSdLT55pdV42d31nP3NQ1CE7J4UD+Cn4XGTWnkSSuT58+IjPNWkm57gToHIM5VnvDOZGck4aO/Ndff10QBwcFBYEKDyKK7OQgImOqpPOqsZhY2Ia5emQ2d/LkSZFNSpsyZQouueQSXcmPrRrXFvZVzcPNEakaiwIz44BcBtQ9p/75VVddhRtvvFF0q6eTwxmbO12mTJFJ2WKeQ9k194GB+rR9iY9Aao/rA9cJwzVSVSI0YwCdfCAhtnEVmcvC9WQ5WycHjannz1DCzTDjaMaMGYJIkaYKo72aL4CRts4ZgG7neVC1+c6TSlkpibGWUbLCt96Cz9y58E5MRMaqVVio0YA+naLLL0ft/v1w1mgw7d13kf3BYrz++L0IHxmLv4eNRPTXazC98UGEGkTQ1zrNx1+jLtIDdK8RvTH8+6QO49EB9Nfh7T3ErgBdgOx2kGlqQh0cWuH5yv1wCAykbp7+MAnc0xHzkIFkyPzAQESNPQ+46WY4BboLgjQlAEVqWKPJQmtrA7y8BqOqahdyct6waDMlUtxtAOhCVuZEqWDWVGKVFRWY9+yzYEoOwRmzCGjm0pt4jBxAb26uRnLyNLNjlyLobm6RCFlT8X8jgt6FKe7GngEhPUcCuYZmod/KqDGZRvn/BGKSKfGCV1b+ierqPeKZr6nZ3yGC3tCQIaLClZV/nAXQBw78CG5uvfWAPTLyCQQETFTyyFp9DLNuCFKaTuuiYIyGyZmhzJwSqUKrO9b+LiUkrD2LcFENgC71y1xan2H/GxcvxpspKfAz0G9VKkEktdPTAbrUT4LRHZ/9os+a6HwfIyMjRc0xzRShmi333pJzGxqykZ7+kNl11VSb5pzanc+TiBLJUE2nBU3JumDq+roU9+/hHnexJcNW9VjDdHVzDdNJzTkjkGloaNBHSwlWfdulpMw5ss1do7t/F6nuVHxoaRVEiOvWrsWtt92mryVm/yTQ4ebmhvfee0/3LpzD0XP2X5Q9EHBrdSV+xswwZV0iRTPkann++efRu3dvcWp3ZdXY+vxos6uF6oucSfvB1tomUOZYMqn+nNlodF7RHFyd4DXSNvDcoS/GAPp11+nk1wwy4CydB0EeecR06Y85KVLpegKHHOP704bKykowk0AyvYPf0xmeQ3tZ2sUuP75HA3SmMrLe8MILLxQTQzI4pjrSQ0YCBENjqg9Tgclq2d3WeVK5EW0uqRdprdRur/3gAywHMNHTE/H19VjN1E1qmD78MPYuWwaftjZM//VLHJ91D96evwBhw2Owe8hw9P9mDaY3PdQBoP/o9Bx2jrpQAPTAWF94mwDo/fu/CS+veLsCdHGPMqr0qatG70NLCxyXvgt3l3I4fqVLW6WJOsu6Jnzy8cc4eOiQ/u/vxcXBrW+UAOjZLU+hd/y98PdXXi938uSTgvRqyJA1qKrajZyc1ztspurrU+HpaaQMob0HtgJ0NiM8gynlJlPdDeeJxIcs5bhs8mT889Zb9T8p0cHUAfSRiI5++aypb2oqR0rKdLMbyTMAvQ9C1pT/D6B30WLCj0nT6Vo0FdaLjZmh0SHlEuktSLCEkfHURBQ9Le1BaLW58PEZg5qaAwYA/TE0NJzCkCHrUFn5lwDoLGNobMwXTXYG6H36PGXRe2bLNBGk12aWY+XKldi1a5e+qUcffQROTs74e/du3HLLLXotV1WjASY6zncpIeEHODp21NJWE6Dz0obkSNyg0DEnSSQZdi33mWewrKICV8yeDdba0pSWO0jtlJf/hvz8JWbXAFvupZrnatIrsPOX7Vi2bFkHll9uPLkBpXmNCetWAig6gE+efNimOTXHVWI4p0vefx/HT5zA4kWL4OnlpZPcJAmWlaotPQGgc3x1Bxg1VObEluZjy5YtWL16NS677DL885//FH9mlp7XmDNlMmo+j1JbFRXb4O09Ai4unfgvKisBf39VLimluu/duxdffPGF7n13dxdKHuRiysvLE39jaaeXly79vyvWRVUGJ9OIkrIHKXNIczgfLY2Ogofq5ZdfFiTCLAuksWyQfD3nojGYI1QOZBwVHBfT3R1cHdFUVI+cnByRQSKZocycUt4axXNlCqBz7iMjFTdj7EBza6GSfbD0TTXkK+G1SCJO1S/xrrC01PMMIa9NnbbjyT0aoPOFI4ESCR9oJIAICQnB5s2b9cyt0txQYoP6j6bqOO04h2c1bWpS6dnZuPh7uHz3nQDofFS41Up3ccGkQYPgPmcO3nvkXmjLUvBmXi6O3jYF/33uVUSMiMFfCcMQ+80q3Nn0GMIMIujKAfpb8PKKsztAb9W2yyaY0jxubQXIyO7hCo8P/iM2V23aRtTtOw24ukKqMYzu1w+D4+Jw4+nTwivncOs/keEyB6HhdyMkRPcxbkjZCe0T0+C3UacBaszIWq/RpGPIkLVGAbqpWlOpLTUAOtvq7BXlRpzPd2fjh4YfHMNNqNKIgA6gj0B09Nnp+I2NJUhNnWl2I3kGoEchZE3Z/wB6Vy4c7aRZbdoWsVmVZIiY0kb+AWF8f264wWT9lwQgSRZYW3tQf79PnnwcGs1JATqrq/9Gbu5/O4xs4MCP4eYWoY+g9+nzNPz9L0Srth61G96F7y3z7DoTZHJtyq9FU2MTKioqRPaAYe0x0xuZ6kvirK4wHUBfA0dHt3YpLRKB/aSfH/bBGpK4zn03zDoiORo35GTeZe1gUVERPvv0U4waPRq9160DKenmt5NlCpZvpvFawE58rgF0vgOCqbuuCb///ju44aJzXpKS6gmARA2AzmfCXHovj+HzsOCVV+Dn7y9KQmi2kKbyfDVI4qpXvwrv6x+Do9uZOnFL31Gh8JBUZpY4z7BdyZlvmFnjNTq0A/O9pf1QcjzXhrCwmejVy4BYNDcXIE+OinW5lF5ryKwSpIkM7DAa2Nkk8tCeBkhJNuvg4AIfHx0ngCUmV4vcoZ2lS4UCEtcGlkMaArBzob5Ybk645jUklsnKjxmeTx6bY8eO6f9k6LixJcPGaB9NAXTej6goS271WceaLXlxALzHmiZ/NCx/efPNN5GRkSGuQdZ2konTrOXrsGlgVp58zgH0Xr16gZ5TSVpFGve5ANDZ13XL1yDks3XIveRiFP68XgD0kMmTEabRwP2SIZgxeyqig4Px8qlTOHbbFCyUAHrcEAz69jtMbXqyA0Bf6/Qsdo66GBQBk4+gLxRp3vYiiTN8/porG0SNpUnji+zpCYdZM0XtXMv366DddhSV06aJdJSRI0cK+Txh9MqFhMD1sXuQWjYFoaHT9QC9btvnaHnpWVmW8YyMeairSxKba2MRdB1AX2dS11jooJOoaOrZUWlL3jluNjXUite2CNZZ1ktRIiguLg4HDx4U9bYkOCHxC+vpXntNJ+tmyYdXDqBrtaeRlnavWVBRXb0f2dkvw82tL0LWlP7fAOhvfQDPcZZJZlly71U9tqEBYGaFiY3gGYA+CrW1hwwA+hPCURUf/70gjzsboHdMcY+KegZ+fhPQkPwnGu+/tUuY/Bk54AdaJAiIh591987dUkvKeeRcOTl5oKbmMLKynu9Qs8/uqQHQ2Q7BWX1GhZBOY+0ga/FvvuUWpKel6bOJWOhiCNAtYW+Xnr9zJcXd8H1h9pmQ3CzvKD/VFUBMyXur0WTi5MlHVHkWDBVMGCUlO7dkzK7gpptaz7NmzcTYsePETx5Dgm1yWqlRg65rYyXc420riWFpAzWtpcghAceBAwdEnT1rrA05iCi3y3R/zpGkfW1KL5l7gIiIB4RKhRrGtcFwHyLazMwEHnlEVYDOZgXgOFUpsu/I1bFnzx6QNJSBK5YCDh06VFy+p7GVJydPh5OTFwYO/MDiKRdBHspRtphg121vse3993Fg/Hh8xtRqAK+88ooI4KnxXljcaTucoMRpJ11Wyqwx1H/nb9aQqxkdCiWhmR1CKT86iTds0AUKZs/WHc4Ud3Jj9Otn80xIvAKmGqK0qHtckNGsISkTl85MljtIxpIolkapNh82j1JZA/8D6MrmyaKjzE1qy5y5aBo8Dp989hVGOjjA57JxGFFXrHsBJkxAW20tHO66C8dun4qF8xeg98gB+GNQAuK//Rp3ND/TCaDPw85Rl5gF6GRxZyq3qRRNbgBaWqrh7HyGMdeiQXc6WFZOqB2gY8YM3Vm7d6Pmjz/wZFaW+KdEeiL+8eGHcAnxgOsbz+BE4vUICrpW/I/1srXbl6H1xafNAPT5qKs7JjZQ1HzOyXmtw2aK8zFgwPuor08W+vCMmLm6nqnXERH0+x+A75SzpcssnR+mbzEilJmRKQheyNxtzC6YMAF33X23+Mk9xh+MHioxOYCulG1YiqC7u/dDr9UlHQB6UdG3CAq6RrVnRMmY7H2MjiTOMoDOOeJ7IlcaYbd+19QAzCgyC9BHorb2sHjWCwuXCZDJFPe4uG/F33NzdQRDksXGdiSJi4p6Fq6uoUBmFpoemNIlAN1uc6aw4ZKStWhqKkN4+CycOHE94uNXQntkO5r7ByM771W7AXR2TyIM27FjB9asWSO4CAzNEKDTaUf1B0u4ONjWuQjQDeeAG3ZLMgYU3nabDtNoMnDy5KOqAHR2RJNaLhjb//WvfwlASsmoyy+/HJTaJDEYme2falf1YDYJAbotphZAd3n/a3gMs12WUZClJuoc2XRYMXJMi+rTBw/OnStUehikkXhq6OB+7LHHdN/K2AA4B56tcMHvopQRZMtcSefqAPpdCAm57UxzOTkimqtmBN2wr3RcsnyQkdXOJggzhwTbPXPAkrlLSZkBBwdXDBr0sSWn6Y9tKq6HNrNK/29mxnYo/WlrQ/LDD+Mdg3Vy6ZIlcHZxETKDVLf4/8GYRcHSWBr3i4mJiUKO1dCk9HYfHx8htycZOQlce/uo4+AmAGdpFUGvBNBdXYEfftBdjr+/+y7Qzhpvy9wrkSI1RhhoWB4haZ6PGDECc2bPFs8FrSdkXVkyN+awpCVt8ViHNiI9lcxYivu5HkEXUzNrFuDri/vfeQfXAPC9/35czIXG0xO48krupAAB0Kdh4fxX0GfUAGyPjUPCd8twW4u270oAACAASURBVPNzCO8gs/Zv7Bx1KVh90ivGBx6jIgVJHG9DXd1xeHsPE6A8JuZteHoONAnQy8o2oqDgQ/Tv/wa8vBL0d/D48evbz421+K4akuN1OJkAnXVT7Skn2L8fad98g7cbGkT06O1Fi/Tarq6LX4RrlB9a31ggZMJojo4eGDx4Oep3fou25+fJgofMzP+gtvZIO0Dfg5wc3UZbMs4No8VabTYcHd3h5tYHAwYsEj8XFa2Ax21PAA88CN87XrB4/MZOaKluFFGCw4cO6+ulOh/H9EU+552ZqilHhbYWODgZT/PlWLy8hiE6esFZm3clqZitrc0iuso6fWMAne1HRc2Dn98/VJkLWxthvXW/fi/D1VX5JpXvhSGwMQfQm5tr4Ozs06GrhYVfi+ckIKDrpYlQXg5Mn24WoNPZVFd3Qg8qqWvf2FiAuMFfozJlFU5jQ4cxBQffDFfXMBQU6CIeERFzUVCwFL5lYQh44Wd4rT8OJ9+evemp+XkRvK99DA7tpSM1NUfQ/MIT8H9rExycO9aSS4Pn86DV5sPdPRISXwWBeWLiTcKZUT9pALT/eQCFobpyAbVr0A1vAqPElMthfemnn34qooN33nmnSOkuffFFtF5zDWInT4Z7fKBg7jZmjBb6+o5HgMfF0KbshOfoa8VhlFnM2nU/3DbtR68XtsHVtWN9plZbAFfXcItBv63vsL3Ob8xPQnNRBjxH6cbf2XgfeT81xzajKWm3yfW9uaIAzgEd+W4M21IboBOYlh/Mw9dfLBN8OiSLNLQ333gD/gEB4k9qpGqqEf0Wa+jiL+A5irsZdYzvQvq2YyI6yowzUyaVgnFN9xobZvJe87vl8PMGOA8cbXO2FJ+dkJCpCA2dcuZ6rAl/4AG7AXReiGsVOUpYCiTV69NZRy4KfQmUzPRXvn4H3G95DO4DdSzW9rSUFF1kdfBgXXTbGmPZEwkBaVwPmU0xYcIE3HDDDSjMzYX2/fextL3h6dOn4x//0O1LFLO3q8A8bnZcMnwxZs9tP6C5okFwlZCL49ju3Zh8ww246uqrxa+GHAWGEnOdpQmVXsvkcQTgEydS2xF4800gPZ2kCMBqMmi1A/RFi4BYy3FC52sKsjhmm2qMB7Ck4xkNpxPC0ccVjq5OkPAGnTlUvqG98cYbenJFAc4/WgqwDr2dyd3mebFzA/8D6HaYYLOTOmcO4OyM9/bsQfSRI3CcMQPXSGzN1AgvKNAB9Cl34r//fhGRYwZi64DBGL7yC/yz6UWEu+t00Hcfvhor8C9UvbYIt6/ZiEEj/eHh4YQ+u0phmNKsA+jyEfSiopUoLl6hB2Bkg/bzu1BEkqz1PvNFa6YntN0DyKnmy3P6uedQ3dKCjIsuAr1+2r17EXbqlFhsDaUhmOfq+eajcIzph5SZJWhqKhV3y9nZX4DqloN/InRJqhmA/qK+Fpd1UdnZC/QAva2tFSdO3KB/AgjQnZ2DEBn5iJ5Qr+9D+1QF6GIOahrFYtLS0ITk5GQRKRk4cKDYkLHuVmIh7RwRqN38CVoX/Oes8XKT2NCQiby8d8RYjElk1defxKlTj8tGerKzX0d19W7Rhrt7NHqtLu4QQVc7EmHrq8f+0KHEiDZZy3v3pigfkJh4K6Ki5sPHZ0SHS0jZAYYOms4Anc9EXV2ikCSkGeMoOH36S3h4xMLf/wJbh2D5+dyscv1oj6DX1SWjra1FKDRI/TVsVAKVLi4haGoqRoznv9A883ZkL9GRpZiy3r0fRn7++/AodEHIAh1xm+8fRZb3twvP4L30/u0UHN11qcG8d3x/OzsXiou/h7//xSJDQKstRFraHPFe6AB6JuLjv0Vi4j8RF/cN6icNRMMzM1EUecbZIQ1JrRR3wylieZA2vRJM7e5gS5fC4bpr4H7laJGmZ2hlZb/A0zMeHh7RYsx+fhfB788KOHz6uf6e1dYeQ8mKexH0baa49537Luaq7wvw9R1j9I6Vlm6ARpOGPn10mtNUxMjLexcJCd934R02cakTJwBGMNs3rVwPK+dfC6+DZUafWb7jBS+MQPj8v1G9cAYcN/9h8tnmM+W+YhtcI884renQ4XfCyckdGs0pnDz5mGoRdI5QpHqnlaO2rBorV60Sm3ByMsyfP1+kN9OE83ZoL5szCjg+lyUr4DF0sn5yOT5mqNFaqovNOubEGvrfj+F5nk7eSi0TcoTJ5WiqasA777yD1NTUDk2/+OKLCA/X1aPKlTzonu3ngOuuR8v4kQh4c5NNXdQB9DsQGjrtTDt2qEE31UlmkpDBnGYJJ4fIBpw9B7536fgL7Gmpqfeira0Jgwd/adNlGEGuTS/D+++9h9S0NH1bbgDoAsi65mr07dtPKN4IKVJPF1E2aUiaKHhULo/u+I4ze/Gmm+zqUBGdJbBVgZeApQ7p248j5Y03sKW5GaMnTRLOCnIWSUZ5Na4TgjhyBNeGszmOTN6M7dt1uIMAnPbKK7q+j2jfQ/G/r7iCCz+wZ4/uGJbgfPed7r/5+1tvAXFxNt1v6WRm0tQdsm6/IdXjswyaZaQ0fQkI+3nZZbpylHPAzGJJC8egegR99uzZet061mWR1Z2SPExtMrS///5bsF32ZJI4fX/vuw9obERSRAROvfYaSmbPxkwnJ0CjAWbOBKj1Gh+Po+s3YvHj89B7fAK2RA/EyFWf4qbmBYhoB+jHjl2H1Y5PwCsxCVPfeQGU7HV1dEDoXyVnAXTAUUdydOxaPQO04SatuHgNioqW6cG4jiTpRyQm3gxbJZdE6klSmaij2rRpEyLWrgVFJL5qnxBufRiLPDJhgiD6k0ywTz49CxgwAMfvShZ/Dl52Ck3D+kMzLgKOJ1IR+l6KLHDIynpZLzfVGaC3/r/2zgQ+qur647/33mSZrCQsici+CQUV0IoIogiKVra/O9aqCFXUUloRqoh/sVVUtLXg2qrFv3/qv6h1oW7IXgULYQmEnUAChAAhAbJntvf+n3NfZjJZZ95klszMuZ9PP5XMe/fd+z3n3XvPu+eeo1rEQtxZaGdeVavFP+lc+u7dk8UCH488ipQ7686zGHwnmrycFuBkqFOKKcpv614oSmls15RG7nql7/8O0tL3G/W3oGAJzp1b5aqi0eKBouRW7seRI3PqLyTpPHNtLmG6+eDBXwlPAirx8b3Q8ePTjQz01uqCP9g569AN9EU4cWIJHI4qDBigp+2jv1944a+Rnn59vcc1FSSroYHe8Eyp8z2Q5TqvhcLCd8VxiNTUwO9ENOLVYCHovhBSVZt4X92L00BXlFQ4HKXolfBbOB6Y4tFApzOb5FETf0pGxnP6hBwOBnrCZ9tgStcjyToNdPNHmxCT0Vv8rXTp4zjVfhs6jJiD9u1/Vm+cdBroZJjv3XsH+vf/X1SPvQjVj/8CRT0OiBR19MHSWQJhoFPdtPimcYEMNXLpph0C08P3Qp7/pO5m2KDs/24skjadQZcFO0Wf27W7Fo7PlyP9k6MumQnvmv8Uo8OyI80a6FRtU306f/4HHD/+kniq83fnB91AMTA0TlA6oU2bXAthOqpgf+GpZg108iaoGN0VCR9vQcV7T0D+dm2LBnrcB6sQ1/0SV5OIZfv2k9C583Q4P3ySbhg9ctBSHykeg0i9WG5FaWkp4uPiEFc7VlPaJNo1NWKcNfcsYaA3cE93/yhJv3t678UY+tIbSLiybi41JL8WLqZ5ks6VWstrhHvvwIEDRbBAs9nsCiLZXDwG+ihVXr4dxcX/RI8eC6CN/xkcl1+MtD+ublXziE/HjrcjM7NurQI6njdzpl+MsVY1roWbhYF+/wM4Ozoe3bv/t1/1teFjDx58uN6c3Jo+OV2eT548iaysLdiyJQtd09Pxc6sVSU884apaeBP0Txe7qe7FUXEWlTcPqK/HHmK5tKa9rnudAV0/+QSIo08KrSvE4dwzS/D6zp043CAlqbsx6tPu+VNPARRkzvkxgQxZMtbvuktvNP2bvHsrKoAfftD/lpoKLFtW9ztFkb+kbpxsXW+BhsccvKlv//794jgQlfnz54v4FTQuJwzpCClG0fvBBro3KD1f01SU65buIkGEhYFOSgKgYORIHFm4EHtefBEP08tRXAzccgvw4YfAyJHI2bkb9hOFyNm4Dm/07IdPOhXj/NgL0KHMjsTtZ1ExvCO0GgXK1kJQ5sgYCYiTZRFgyXrnDdC2bEJcXoV4VtUlaTAfrIRUY0VN3xSYzlpgKrEIY13tmgH5mO5GVnVdb5izTkIqr4LjjkmwZ60RdbgvfD1LrvEV9lILLAfPYf26dUj78P/EeSJrSgrMlZWwWq0iuEdG586QaFAbNQpS7gEk7F0LSbML1y7K6Vw6rjNSVxY2+3jHwD5Q9uSK39XrRkJeqw8k5yZ2QcqxZCjZ+1A+shMSCk1QjhTCMaAHqlMqkLRZ35kvG5OJpP8UQ660Q5vxS9i++RCxRyuh9u4CyApipjyExDHTfOl+43uysgD6+kk5O8l1aNkyaJIM7aabIa9brX+soUKD4oYN4t/V6TWw5euROtX+vaApsqu/1C/SCbnKjvKrOyFxx1nIFXZo990Dx/YfYco5jPMTuiD5WCKUnQeg/vRSKFv3wpFuhlyin3Gydk8U/aVScWUHwUI86+ZxwLYsyKfOwjJxBDrO/tQ/DBwO4B//AFav1nWfyvDhwLZt4gOWOALx/ffA4cP6h6usLGg5ObAM74Pqgs1Q9hyGLSMe1YPaIfnfRZBoU+GBqbCsXe7Se8ewS6Fs1s8x2of2g7LrECS7JnRea58GJXu/+M0x6gpI23dCrrCgfFQGEvI1KMeKcPbO7khdWwLlTAXUWydCO3QA8v5DUOa9gKTRelTQVpdvvwXo2MfEiXrwFXoHaGIko4N2BumMZU4OsHWr/gWbzqqaz8F2+hAcKTGw9EhCwi49KGP1wHYw79Gj/ZZdm4HEPAnK0VNC9nG55TDv0++v6ZeC2BNVsPRMgr19nDBm6ANa6dgLkJh91qUH1i4JiC3Q3WzV0VdB2roDUnk1tM4dId08CSn31KV2aRUHcgWkr/b0XlChSXRV7Ucn2un48UeAvAfGj9fd6w4cgNq3F0pLNkDJP9no0dq0B+BY8SFMZ2qg3Xkr1Nz9ULbtcV1H3JQyG9QEE2yZ8Yg7oo+T5ddkILnWU8D+88kw/f1zneWYTCQcU2A6dAIVwzpAsqlI2HkOatdMtFu63eVW3yoGznOslDJq/Xr9nSBXvTVrRH9pXBTjAjGi3WJ6fzZuRFnhWl2HB/WBslsf/9yLdtdtsGxdifhc3V2U5gLSFxovERcLZcc+oUflIzoiefM5KCVVwPRp0L5eAanwDCqmX4eYNVvEO6X+13jgVCG03TlQym3QTBLU0Vcjde7/Qo5tfP7XJx4vvwz8+99632ksoABFDz4IHD0KrFypVzlwIEBRrU/oaQJVzYZydR+kyhqU3tQNqd8cE3/XZkyHmr0Fyn92Qfv5XVB3Z4v3V7I44LhuBJS1uneI+vO7xHypHNLvUwf2gVw7lziGDoRUeh7y4RNQr71KjMFx+RVQ+3aDqmgw7T8ONT0ZKct3+48B9XvPHmi7cqAeLoD9xsnQDh6GfDQXMVcPgXTiOLBvH0DnUTt00OeIxESUj+0G+8GdkHfugWn207Cu+gTKJj1tqePa4ZCycyCfr4A6oBc0uW7+cNw0WtSn5J9C6U2dkXjQAdNhfQdL7dQOctF50Dul7t4GeedeaDffBJSXQ9q6DdLZMjj69xRrCamoBO0+rdvp9En+zpvIGJgyBdqDM2D5zwHYj58Fhg4BLFbxPkg2C2KSNcR2itf1hMqNN6Js7etA8VmU3thZjHc0p9XMnIL41/TdPhrHNKsFyo/b4Rg6CFJGJpC1lX6BPOkOqF9/DvnEGWDWbDh2/ghlve5Vpt4wWjyH5ktLrySY5DQoucehdsuErCRAyj8GTbNDHT8OyY8sgZLon5RrWLFCnxcoow2NhRSZms7m0+4mGWo0HlL8IkpHXGtgVdw9DNaVH8GUdxrSzF/DvuYrKHsPQ+vdHRWdq2HeXQppyOWQ+wyAum4llEPHdR25bBCUbbv1/77pOmDXTignSqD+7AZoeYeg7MuDOmYktJJiMXeqo4YBnToDG9YJr1B5wmSx3lC27kHhc8PQ/+oVrVIB582O4nJUr8zW1wK5uSJwMMhFnY6FpqTA1LUD4gt2AM40y4MHQ92+GRUVO+EYOwrK6n/r4wHNBfm5Yk0Qb+6J2LG36e8O1UNrD5pjiCfFeaH5l3btZ83SxyPiP2KEvjahuWnYMMpPqs9N5MVDhdZylCqUrrnmGr1uOrPdIC20r1Bsj85F2RkVWadOobqsDL0SE9HjyiuhkPxzcyE7rEgY3g3YsgXiOBytI5zrK+oTradIZ6gfdC6b/k1eKG4R4Bu1jdagtEZpqpCruHNHnVK/0kdE2mwkO4bWKyQPCiRHv9H6xmCxnqgQ8VmchY55Zq1ZjfY7spFUVYXEAQNwvKQEaUVFSOrYEXvsdqh796JrWhq6UH/z82HK3YX4qmPCpnJ9XHj9daB7d4OtCf7lbXoHnXJCGy3X0EsR4uIRaq2BDlqI0dc1GlSdf6MIzbXnOvKqLThvc+DkxnXYmZ6Ke/oqwgCP9zHnaWuwmP70nus8o6/1kGuWJe887L//Y4tVSJoKc9l+yKoeEIVceMvLaydgXx/uh/vUtCS0+/ywH2qq/SJpsCZyPaT/hbp42lHxun00sLvl7vTmPtolpiBnoS7KnAVIHK+71LeqkGHqw8RF7vptofhNF+hcPS0oDBTaIaOjDaEuyetO+sdAp0Xek8bS2Ynd4IrsUCOAOulnaPdY69xZXZ1wzoUGehVx7wMFX3rf6WPmHQirrRg11XpaoVAWv40J9FHq8cddXdEg6x+x5RjQGkFSrZDoq6Jb0aChvKz2I18IIcgLFiFp9H3+aYEP7wNlrnE49I+OoSx+04V166C+ugRW8wVwxLYTeuAs5rJDUBz1YzXQb57eB8WUgsSE/oHH48+d5bvvhs1igiWxK4X8qtd22WER6+b6fw1897x+go+u/u476RQQ77wXa8afDBjgCgwXX34EJnudkS/a++abQFdi2LaLR1vSYPP96uJu8Nk+X0677hRVmwKSUCoLcosg1/o5c+bUjxzp5RM8QnUOuJSm4Isv6hvo9IX0s8+AZ55B3hPzcN5mx8mN65Gbmo7/6k875BLim8if7WXTfL7Mb4tQSit0672wmjtDk2tzO7u1SrZXI74yH7JqdZuY28akS7tKKb/Q05+1uvgw6dZYCmC1NO9B0Oo2eVmB3yZd2vVYYCw6Ph1LoK/ioS7KnGeQOF4PRNLq4oMuRJxBwgx0L4l58wypE+0cV5SH/oOVY+RPkfZ8/cCDhjrifjHrgu4pQLs8BkpV1UHY7Y1zZRuowi+X+m2t4HQbN9Aqii9QXk674aEt0tz5SL55pn8a4cP7UFV1AHZ7XRR0/zTEeC1+WyvQLnVt6lnxSUZS9IC5LTTJaitBTXXzGyoJCf1hMqUY75TRO2iN7681e60uOExJsMZ3gqqYhZdpTM0ZmKxn265xTsx8NNDpVsuxMnHsq6SkBPbFi6E6HCgrL3d5TNORl3LKcANyCLhABFkWaqI5kHB+T6MPeXjnHaA2nodRcQbzeo+2pMHGhKWBThH/3nrrLUydOlVEgty0aROWLl0qIgFSwAGjxSNU54BLbopff13fQCcXTnJneu015E1/UDfQN61HfnIaJgyQPBrokqSIHWd/F78NtNSwCRNAX8PtcemwxyRDk2MhqTaYrOdgsp5v/DKRi2lb2DGcNRspt8z1D1ofJl1KlWa1Nnbn9U+DvK/Fb7rgg4HuUKtRWZHjfWMDdKX8+HwkTQjdAqxNvA/+PJfuw/tQVp5F7jUBkrD31YbyffBkkEhyDLRaTyTve2T8SsewwUhbVOt+bvz2+nf4oAsRNzZ+952eV9hAqa7Ohc1mzAvFQPVeX+oeqNHrm5q6kFyK6WiDgdJWPliF3ECvPgS7TT/2FMrit7GR3M0p1oSBQikzKYhjcyVoBnorDNNGbfdhbDSALLCXtoIDxaIQMTkoXpMBmyzGUoy4qia8Tv/nf4D09MD21w+1e7QlDT4j7Az0nJwckVdw5syZIoK4s8yaNQsUFZHycF58sR7R2dviEarzJXOes3R3cb/hBoAm5zffRN7UacJAt+ZlIT+9H65KPOoy0CXJJM47NSzx8d1RU6MH+vJn8dtAS43yYZBpEwbJr3+LlFvrgpK0iq8PDEiuVmvLkS0pEn2g3X79pgvbtwtPESPF4agUUdZDXeTHnkDSpN/6pxk+6EKbeB9CbKBHnEeJ2y6Rt4rlyaVXluNAXidNFddv5C6qqd4+ssnrHIMHIG3x+lbV4brZh/ch4gx0OuO6ZIkhnhS93pnpxNCNfr444fMdLaam8/pxFINh6lSvL6cL28qRDzq/HsqP+WSYkoEa6uK3tQLF5Phjy0cjG/bVs4F+EUym1MAjaoVhWq9xzsjzgW9xYJ7QSg7OrFC22c9ClZtOM+recNr0Syg7KDwMGhWKPk9R6Nt48WhLGmx/2BnolLpk4cKFOHLkCHr27Onqbl5eHnr16oV58+bheS/OPLhz8gjVuQBxBpFwN9CdO+hvvIH8B6bjnM2ONMcB5GVejT4nV7sM9JjYTrBZixqJhw10gxpr4HJp1mwkh3AHvbomDzbrmRZb3NKC3EBXW7w0ec3xZvNKG3rGjh3AfxuLjm93VKCqcq+hxwTiYmn2E0ieyAa63xZgvhhlkXbkg2KuvPKKYXVt6WNNywa6/jHPH7vsFCQs7S+16XcM96DBDT7pwnFYLRHkXeSLge7F/NBa0Xhzv3n5D4jJbH0+ZBGTgmJTGCgOtQaVFXog1ZCWGQ8jZYqx41vNtteH96GtfKzx2/zgg0eJzXYO1dWHmsWakBBmBjoFd3NGVQ+pcvv48FYa6K6n1nrg0hFZ8r4lY12TFFgTOotLJE2DYitFbFUhZE2PY9Wo+Cmyvo8kvL7Noy3pdU36hWFnoI8bN07skp+i6I0NSkZGBoYMGSJSgxkpHqHu2aNHepw8WQ+M1L+/7upO0SnJpYtSF9x7L05t3ISao/lI/eBFFC/8AGmvP4u4U8eh2U4jKXmoOF/jPGek3XsPtC+/QMrtC1D9wR/gqK47i6b27gr5MEXplKAlm2G2Z8JScxTxnYei+oQeUCUhbbAwfCg6sSTJsCeZIJfVRm++4Vq0e2q5EQQtX5udDTz9tH6N2axHJqYoj+Su6vx/+o1cUGoDR1lMZbCc3Q9QgDxVg9qxHeQzeh+1xHhxr1Sl7xSpacmQz5WLyKpaZgdoJ47BnNAXWoyEmlI9wmyjnWaKQAsTFCURdqUGsNQGn3K1R0LS14cgJyb7hwMFg6IIoRTts7lCaSwoanevXoDNBnvebtDZMjUjDfJp3X1NMichxpHscn2PN/cSgYIoAIo0+DLYt64TC3DVpEGyNvElkfj17Q0UFECqtoizUmqHFBG1V7C8sKMe0Zb+u12iiOCd/NUByGY/nN2qqgJq81SKlB2kB04eFA2UUqFQcUZspciyigOV5/SAgYmJA2G1Fbk+WlDuXvcgemqHVMjF+jk8tRtlKjgN4mNJtUI7VaDrjiIjVk5rtNsgOMYWI6YqVvyW0HkYqgo30x0wp10M5aMv/Rexmd4FeiechSLKEpumSpcuQlbkSVBuLnD1T45NhByfArWyFKqjClp8DKQafXKSUttDK9V3U7SkBEgVTdctK2aYTGmw284Kw03wKykX75Y6qA/k3YfEe+PITIFUWATlmYVIvM5PWQ0o7sbf/iYiAeOKK/RxgMZIynJQG6lbnBlzG6fto4ej6ovFLh11He8xKYC98TEf0Z9HH4O2fxew4ktoHdvBXBQHh70UtgQbYhwpUKup71ZosQokq14HsYx1pAg9kGLioNnqdqQd149C2vyP/TMmUFRiinjrdNt3G/9ElOFmdMLdQI954LewfPMB5JO6vON7XgX78b3ibLISnwZHjT5uaOY4JA6aAG13NhQlGTZ7MSw1eiRnmiPoPae/OxwNguvU9tRs7oOKi0yuLAh+DYq1fLmeX5dS9tBHvIalfXugpHZ3sJYLHeuqqMyBes8diPvHKtBRGHtMDaRqfXylaP2U4aK5oiWZIVXomTMclw0U+qPkHNTnmdO627iWmgipVM9yIXKaNvA6UNunoN2nzRsEhpTEmU6RbnLXe+d82URlNvt5VFc1HUHd0eMCV7YDMb4X65k7NHOsixH9Oy6ui5hLiKeakuBaA9AcSxHyPRW1SyckLfkKpvbdPF3q+Xd6D+isaHMLe4pe78z+ERsr5g5VswsD3ZGZitjkrpDyC2FJsUIurl0rxJrqzYOOKy6BsqW+Qa/26wZU10A+XrcBok25A9L/faTrR49MEe2+KX7OTsmPP4mkCb/x3EdvrqCsPvQ+ULRtcvv3VBQFdstZsVbQEuJc6yLnx7rY2IxGnniku85sLqL62jHU2i0Rlos6IHmV7pWppSZBKq0ffE4zyZDsjT1waNxMXanPs60u3nrbJSbqEdnPnIFmUlDZ7izUIwdq2173/tJcQWtoWvW1WNzXoy1dmJysr10stXODc7ymmFKUgcYfhc5Y07GXM2d0W4GK+zqp4TOc68eWrnv4YeCtt+rupPqoz84sQu7zb0YGcNq33OQi2r1BD4hmkc2era+dvZUNVURraMp+QGMG2Vu/+50/JBLwOjzakgZbEHYGOrmvx8bGYpszTYdbh4cOHQqbzQZyg2+uUG5G+p97yc7OxrRp07Bs2bJG+doN8uTLmQATYAJMgAkwAR8J0McJq7UICQn9fKyBb2MCTIAJMAEmEFwC+/btwz333IMffvgBIyg1XitL2BnovXv3Bu2UU2C4hoUCxhUVFSHX+bWqCTgLFizAs88+20psfDsTYAJMgAkwASbABUB9GAAADylJREFUBJgAE2ACTIAJMAGdAMVD+9WvftVqHGFnoAdiB33z5s0iAvx7772HwYMHtxpquFZgt9sxbNgwEA8Tua5GYXF+AYt2bwrWBYB1AWA90AdB1gXWBdaDugUBjws8JpA2sB7w/OAcFVgX6OSj7o29evVqjBkzptUWVNgZ6CE5g95qzOFRAR0PoOMDVqsVMTEx4dFoP7fS32dI/Ny8oFXHugCwLlAoBR4T6KVjXWBdYD2om354XOAxgbSB9UB/J3h+YF0IhB6EnYFOUdpfeOGF4EZxD5pZFNoHORwO/OEPf8DTTz8NRVFC25gQPZ0HWh086wJPuqwHdYMQjws8JgRiARaiaa7Vj+X5gecHnh94fnAfSHhM8P+YEHYGOkVwp0jtzeVBJxeDSyiarIHCiy8DsCL8UtaFCBewge6xLhiAFeGXsi5EuIC97B7rgZegouAy1oUoELKXXWRd8BJUhF/mbz0IOwOd5Dtjxgz85S9/wdSpU0WkvI0bN2Lp0qV46KGH8PbbbxtWAX9DNdwAvqHNEGBdaDOiCHlDWBdCLoI20wDWhTYjipA2hPUgpPjb1MNZF9qUOELaGNaFkOJvMw/3tx6EpYFOwQgWLVqEd999FwUFBejSpQumT5+OuXPn+hTcjNKukcFPBv4FlLuSS9QSYF2IWtE36jjrAuuCkwDrAusCEWA9YD3gMYF1oCEBHhdYJwIxP4Slgc6qwASYABNgAkyACTABJsAEmAATYAJMINIIsIEeaRLl/jABJsAEmAATYAJMgAkwASbABJhAWBJgAz0sxcaNZgJMgAkwASbABJgAE2ACTIAJMIFII8AGeqRJlPvDBJgAE2ACTIAJMAEmwASYABNgAmFJgA30sBQbN5oJMAEmwASYABNgAkyACTABJsAEIo0AG+iRJlHuDxNgAkyACTABJsAEmAATYAJMgAmEJYGwNdC3bt2KZcuWYe3atcjLy0NiYiIGDhyIJ598EmPHjq0nDIfDgZdfflmkZTt+/Di6du0q0rLNmTMHiqK4rq2oqMArr7yCbdu2geo/deoU7rvvPrz//vtNCtfbesNSM8Kk0aHWAyPPDxOkYdtMI7Lw9t01Oia4w6OxacyYMeJPhw4dQp8+fcKWbbg1vK3oAqXf+f3vf4+vvvoKp0+fRvv27XHFFVeItJ4ZGRnhhjUs29sWdIHWHaQHa9asEanaSPbXXHMNnnrqKfTr1y8suYZbowOhB0bqJF7ezjvhxjbc2mtEbt7KzEidRq4NN7bcXv8RCFsD/bbbbsOGDRtw6623YujQoaCF9NKlS7F79268+eabePjhh12UHnnkEbz11luYOnUqrrrqKmzatElcS39/4403XNfl5+ejZ8+eIhf6ZZddhi+//LJFA93bev0nLq6pIYFQ64GR57P0AkvAiCy8fXeNjgnOHlqtVlx66aXig2BlZSUb6IEVfaPa24Iu0EeZUaNGwWw24/7770eXLl1w5swZ/Pjjj+KDcd++fYNMJTofF2pdKCkpwaBBg0BjAq1LaI2Rm5sr1iSSJCEnJ0foBpfAEgiEHhipk3rn7bwTWBJcuxG5eSszI3UauZalFb0EwtZA37hxIy6//HLExcW5pFddXY3BgweLRVBRURFMJpOY/GihPHPmTCxevNh17axZs/Daa69h586duPjii8XfLRYLiouLceGFF8JutyMmJqZZA91IvdGrXoHveaj1wNvnB54EP8FbWRh5d42MCe4SeOGFF/DnP/8Zd999t/h/3kEPrn6GWhc0TcOwYcPEjhl9SE5KSgouAH6ai0CodYE2DB599FGsWLECEyZMcLXrn//8J2ih/uqrr+I3v/kNSyzABAKhB97WSV0zMu8EGEXUV++t3IzIzNs6Cb6Ra6NeWFEMIGwN9OZkNnv2bPzpT3/CsWPHhCs7uZAtXLgQR44cEV+unYXc4nv16oV58+bh+eefb1SdJwPd13qjWNeC2vVg6YG3ehjUzvPD6hEIti4cPXoUP/nJT/D666+D/vvZZ59lA72N6GSwdMF5vOFf//oXxo8fj5qaGsiyjNjY2DZCgpsRLF148cUXxdG7rKwssangLORJQR59dNzhwQcfZIGEiIC/9MC9+Q3rpN94zRgiARt4bLB0gdeNBoQSxZdGnIE+ZcoUfPLJJzh//rw4lz5u3DixS07nyRsWOgc2ZMgQfPvtt4YNdF/rjWJdC2rXg6UHzXWq4fOD2nl+WD0CwdaFSZMmCQ8eOkpDxjkb6G1HIYOlC3PnzhVu7OvXrxcfgUkXyJ2ZdtXpA/Lw4cPbDpQobUmwdIEMc4o7cOWVV4oYNz169BAu7o899pg4mke/p6SkRKkUQt9tf+mBe0+amv95zRh6WXtqQbB0gdeNniTBvxOBiDLQ9+3bJ1zcaceC3MeokPs67VpQ4LeGhc6u22w24XrUsHjaQfe1Xla7wBMIph401Zumnh/4XvMTvJWFr++upzGBnk9xK8hA37Jli4hjsWDBAjbQ24hqBnNcmDx5Mr744gt06NABV199NWjhV1hYKAKFVVVVCf1wHq1qI3iiqhnB1AUC+9e//lV8qKHz6M5C8Qk+/fRTETiQS2gI+FMPnD1obv73dd4JDZnoe2owdcHbtUr0SYF77E4gYgz00tJSsStBEVJpx7xbt26in7179xYRU2kHo2Eh9zLa6aKv2UYNdF/rZfULLIFg60HD3jT3/MD2mmtvikCwdYFiYFAmieuvv164rVJhA71t6GawdYEyiVDEboriv3r1aheE77//XgSOu/322/HRRx+1DThR1opg6wLh/eyzz/D2228Ljz7K5kCbAuRhQcHjVq5cKbz9uASXgL/1gFrf0vzPa8bgytfI04KtC7xuNCKd6L02Igx0WhjTxEeuYuSuTulLnMXXr5aedst8rTd6VS3wPQ+FHrj3qqXnB773/ARvZeHru+tpTJg/f77IIHHw4EGxc8oGetvQyVCMCxQMjLwpKEUnpep0L+TiTG2itGtcgksgFLpAu+R33nkntm/fXs9r4rvvvhPrlpdeegl0JIJL8AgEQg88zf++zjvBoxKdTwqFLni7VolOiXCvnQTC3kCn1CUTJ04U+dBpIiT3dvfi67kfT4txX+tl1QsMgVDpgbM3np4fmF5zrU0R8CQLX9/dlsYEcl+moJMUjXn69OmuZi1ZskRki6DdVDLM6BouwSMQCl2g3s2YMUN4UXzzzTe48cYb63WYziKTsUZt4xI8AqHSBdowoMwye/fubdRZOntOHhX0MYdLcAgEQg881Uk983XeCQ6V6HyKJ7n5IjNPdbqTNnJtdEoounsd1gY6LZgpTQlFyv373/+Ou+66q5E06dwXpTzydxR3X+uNbnULTO9DqQfUI2+eH5iec60NCXgjC1/f3ZYM9OzsbBFwsqVCbqwUFIpLcAiESheod++99574UPPOO+/U+2BDvzlzXhcUFAQHBD/FqzE6EOMCob/ooouEBA4cOFBPEpSKLzk5GSNHjmwyUC2Lzf8EAjEmeFMn9cRX/fI/Ba7R23WbUZl5qwvePp8lFd0EwtZAV1VV5Bhevny5CMDyy1/+sklJ0nl0Wjg3lwedFtaXXHJJo3s97aD7Wm90q5v/ex9qPfD2+f7vOdfYkIC3svD13W1pTKAzbKtWrWokFDpn/PHHH4tddDLMKHgYl8ATCKUuUO+Ki4vRvXt34dJMOW8VRRGdpp1Scn+fNm0a3n333cCD4Ccg1LpAQSNpE4H0wD16P2WboVgElH7rueeeY0kFmEAg9MDbOqlrvs47AcYSldV7KzcjMvO2TgJu5NqoFBB3WhAIWwOdUpS8+uqr4ry5u0upU64UqImCw1FxuhtOnToVI0aMEBPl0qVL8dBDD4nALe6FchdTijZ6gZ555hlh3N9yyy3iEnKldzfmjdTL+hYYAqHWAyPPDwwBrtVJwIgsjLy7RsaEhtLgIHGh0c+2oAuLFy8WRx4oivsdd9yBEydOgI48kCcFZRXp2rVraOBE2VNDrQsUoPbaa69FXFwcHnnkERG4loLE0cZCeno6duzYgczMzCiTSvC7Gwg9MFKn0bVo8AlFzxONyM3btYKROo1cGz1S4Z42JBC2BjpNeBs2bGhWouvWrROTIhXa+Vq0aJHYsSC3QtrJIqOeArOYTKZ6ddA50aNHjzZZLxn1999/v+s3I/Wy6gWGQKj1wMjzA0OAa3USMCILI++ukTGBDfS2oY9tRReWLVsm8p7T+eOEhAQR4Z+OXHEsguDpSVvQhV27dokUe1u3bhXp9sgwJ12gnXPytOASeAKB0AMjdRpdiwaeSPQ+wYjcvF0rGKnTyLXRKyXuedga6Cw6JsAEmAATYAJMgAkwASbABJgAE2ACkUSADfRIkib3hQkwASbABJgAE2ACTIAJMAEmwATClgAb6GErOm44E2ACTIAJMAEmwASYABNgAkyACUQSATbQI0ma3BcmwASYABNgAkyACTABJsAEmAATCFsCbKCHrei44UyACTABJsAEmAATYAJMgAkwASYQSQTYQI8kaXJfmAATYAJMgAkwASbABJgAE2ACTCBsCbCBHrai44YzASbABJgAE2ACTIAJMAEmwASYQCQRYAM9kqTJfWECTIAJMAEmwASYABNgAkyACTCBsCXABnrYio4bzgSYABNgAkyACTABJsAEmAATYAKRRIAN9EiSJveFCTABJsAEmAATYAJMgAkwASbABMKWABvoYSs6bjgTYAJMgAkwASbABJgAE2ACTIAJRBIBNtAjSZrcFybABJgAE2ACTIAJMAEmwASYABMIWwJsoIet6LjhTIAJMAEmwASYABNgAkyACTABJhBJBNhAjyRpcl+YABNgAkyACTABJsAEmAATYAJMIGwJsIEetqLjhjMBJsAEmAATYAJMgAkwASbABJhAJBFgAz2SpMl9YQJMgAkwASbABJgAE2ACTIAJMIGwJcAGetiKjhvOBJgAE2ACTIAJMAEmwASYABNgApFEgA30SJIm94UJMAEmwASYABNgAkyACTABJsAEwpYAG+hhKzpuOBNgAkyACTABJsAEmAATYAJMgAlEEgE20CNJmtwXJsAEmAATYAJMgAkwASbABJgAEwhbAmygh63ouOFMgAkwASbABJgAE2ACTIAJMAEmEEkE2ECPJGlyX5gAE2ACTIAJMAEmwASYABNgAkwgbAn8P7dav8Vp+ottAAAAAElFTkSuQmCC\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "startdate='2010-01-01'\n",
+    "\n",
+    "figure(figsize=(8,8))\n",
+    "Lsel3=['Weddell','Ross', 'Indian', 'Bell-Amundsen','Pacific'  ]\n",
+    "\n",
+    "for i,k in enumerate(Lsel3):\n",
+    "    subplot(5,1,i+1)\n",
+    "    \n",
+    "    #DF_nan[k].plot(alpha=0.3,lw=0.3,color='y',label='SMOS missing')\n",
+    "    #DF_smos[k].plot(color='k',lw=1.0,label='SMOS > 3 cm')\n",
+    "    #DF_nan[k].plot(alpha=0.5,lw=0.3,color='y',label='SMOS missing data')\n",
+    "    DF_smos_v32[k].plot(color='tab:cyan',style='-',alpha=0.7,lw=3,label='v32 SMOS > 3 cm')\n",
+    "    DF_nan_v32[k].plot(alpha=0.7,lw=0.5,color='y',label='v32 SMOS missing data')\n",
+    "    DF_smos_v33[k].plot(color='k',style='-',lw=1.0,label='v33 SMOS > 3 cm')\n",
+    "    DF_nan_v33[k].plot(alpha=0.7,lw=0.5,color='r',style='-',label='v33 SMOS missing data')\n",
+    "    \n",
+    "    #DF_asi[k].plot(color='tab:pink',lw=2,alpha=0.5,label='SSMI+AMSR2')\n",
+    "    #plot(xe1[k]/1e6,color='tab:pink',lw=2,alpha=0.5,label='NSIDC')\n",
+    "    nsidc[k].plot(color='tab:pink',lw=4,alpha=0.4,label='NSIDC sea ice index')\n",
+    "    xlabel('')\n",
+    "    ylabel('')\n",
+    "    kstr=k\n",
+    "    if k=='Bell-Amundsen':\n",
+    "        kstr=\"Bellinghausen-Amundsen\"\n",
+    "    title(kstr,y=1,pad=-20)\n",
+    "    ylim([0,10])\n",
+    "\n",
+    "    if i>=1:\n",
+    "        ylim([0,6])\n",
+    "    if i>=2:\n",
+    "        ylim([0,5])\n",
+    "    if i<4:\n",
+    "        xticks([])\n",
+    "\n",
+    "ylabel('Extent [10⁶ km²]')\n",
+    "legend(fontsize=8)\n",
+    "tight_layout()\n",
+    "#savefig('Exent_smos_qc_v32_v33.pdf')\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9505c4cc",
+   "metadata": {},
+   "source": [
+    "## Example case 2017-05-27\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "68acaac0",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f637d907c70>"
+      ]
+     },
+     "execution_count": 101,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xa9=xr.open_dataset(smos_fl_v32['2017-05-27'] )\n",
+    "\n",
+    "SIT9=array(xa9.sea_ice_thickness[0,:,:])\n",
+    "close()\n",
+    "imshow(SIT9,origin='lower')\n",
+    "TB9=array(xa9.TB[0,:,:])\n",
+    "figure()\n",
+    "imshow(TB9,origin='lower')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "0ad9695b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
+       "<defs>\n",
+       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
+       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
+       "</symbol>\n",
+       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
+       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
+       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
+       "</symbol>\n",
+       "</defs>\n",
+       "</svg>\n",
+       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
+       " *\n",
+       " */\n",
+       "\n",
+       ":root {\n",
+       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
+       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
+       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
+       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
+       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
+       "  --xr-background-color: var(--jp-layout-color0, white);\n",
+       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
+       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
+       "}\n",
+       "\n",
+       "html[theme=dark],\n",
+       "body[data-theme=dark],\n",
+       "body.vscode-dark {\n",
+       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
+       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
+       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
+       "  --xr-border-color: #1F1F1F;\n",
+       "  --xr-disabled-color: #515151;\n",
+       "  --xr-background-color: #111111;\n",
+       "  --xr-background-color-row-even: #111111;\n",
+       "  --xr-background-color-row-odd: #313131;\n",
+       "}\n",
+       "\n",
+       ".xr-wrap {\n",
+       "  display: block !important;\n",
+       "  min-width: 300px;\n",
+       "  max-width: 700px;\n",
+       "}\n",
+       "\n",
+       ".xr-text-repr-fallback {\n",
+       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-header {\n",
+       "  padding-top: 6px;\n",
+       "  padding-bottom: 6px;\n",
+       "  margin-bottom: 4px;\n",
+       "  border-bottom: solid 1px var(--xr-border-color);\n",
+       "}\n",
+       "\n",
+       ".xr-header > div,\n",
+       ".xr-header > ul {\n",
+       "  display: inline;\n",
+       "  margin-top: 0;\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type,\n",
+       ".xr-array-name {\n",
+       "  margin-left: 2px;\n",
+       "  margin-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-obj-type {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-sections {\n",
+       "  padding-left: 0 !important;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input + label {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label {\n",
+       "  cursor: pointer;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-item input:enabled + label:hover {\n",
+       "  color: var(--xr-font-color0);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary {\n",
+       "  grid-column: 1;\n",
+       "  color: var(--xr-font-color2);\n",
+       "  font-weight: 500;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary > span {\n",
+       "  display: inline-block;\n",
+       "  padding-left: 0.5em;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label {\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in + label:before {\n",
+       "  display: inline-block;\n",
+       "  content: 'â–º';\n",
+       "  font-size: 11px;\n",
+       "  width: 15px;\n",
+       "  text-align: center;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:disabled + label:before {\n",
+       "  color: var(--xr-disabled-color);\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label:before {\n",
+       "  content: 'â–¼';\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked + label > span {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary,\n",
+       ".xr-section-inline-details {\n",
+       "  padding-top: 4px;\n",
+       "  padding-bottom: 4px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-inline-details {\n",
+       "  grid-column: 2 / -1;\n",
+       "}\n",
+       "\n",
+       ".xr-section-details {\n",
+       "  display: none;\n",
+       "  grid-column: 1 / -1;\n",
+       "  margin-bottom: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap {\n",
+       "  grid-column: 1 / -1;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 20px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-array-wrap > label {\n",
+       "  grid-column: 1;\n",
+       "  vertical-align: top;\n",
+       "}\n",
+       "\n",
+       ".xr-preview {\n",
+       "  color: var(--xr-font-color3);\n",
+       "}\n",
+       "\n",
+       ".xr-array-preview,\n",
+       ".xr-array-data {\n",
+       "  padding: 0 5px !important;\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-array-data,\n",
+       ".xr-array-in:checked ~ .xr-array-preview {\n",
+       "  display: none;\n",
+       "}\n",
+       "\n",
+       ".xr-array-in:checked ~ .xr-array-data,\n",
+       ".xr-array-preview {\n",
+       "  display: inline-block;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list {\n",
+       "  display: inline-block !important;\n",
+       "  list-style: none;\n",
+       "  padding: 0 !important;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li {\n",
+       "  display: inline-block;\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:before {\n",
+       "  content: '(';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list:after {\n",
+       "  content: ')';\n",
+       "}\n",
+       "\n",
+       ".xr-dim-list li:not(:last-child):after {\n",
+       "  content: ',';\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-has-index {\n",
+       "  font-weight: bold;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list,\n",
+       ".xr-var-item {\n",
+       "  display: contents;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > div,\n",
+       ".xr-var-item label,\n",
+       ".xr-var-item > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-even);\n",
+       "  margin-bottom: 0;\n",
+       "}\n",
+       "\n",
+       ".xr-var-item > .xr-var-name:hover span {\n",
+       "  padding-right: 5px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-list > li:nth-child(odd) > div,\n",
+       ".xr-var-list > li:nth-child(odd) > label,\n",
+       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
+       "  background-color: var(--xr-background-color-row-odd);\n",
+       "}\n",
+       "\n",
+       ".xr-var-name {\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dims {\n",
+       "  grid-column: 2;\n",
+       "}\n",
+       "\n",
+       ".xr-var-dtype {\n",
+       "  grid-column: 3;\n",
+       "  text-align: right;\n",
+       "  color: var(--xr-font-color2);\n",
+       "}\n",
+       "\n",
+       ".xr-var-preview {\n",
+       "  grid-column: 4;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name,\n",
+       ".xr-var-dims,\n",
+       ".xr-var-dtype,\n",
+       ".xr-preview,\n",
+       ".xr-attrs dt {\n",
+       "  white-space: nowrap;\n",
+       "  overflow: hidden;\n",
+       "  text-overflow: ellipsis;\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
+       "Dimensions:                    (time: 1, x: 632, y: 664)\n",
+       "Coordinates:\n",
+       "  * time                       (time) datetime64[ns] 2017-05-27T12:00:00\n",
+       "  * x                          (x) float32 -3.944e+03 -3.931e+03 ... 3.944e+03\n",
+       "  * y                          (y) float32 -3.944e+03 -3.931e+03 ... 4.344e+03\n",
+       "    latitude                   (y, x) float32 -41.51 -41.58 ... -39.36 -39.3\n",
+       "    longitude                  (y, x) float32 -135.0 -135.1 ... 42.15 42.24\n",
+       "Data variables:\n",
+       "    sea_ice_thickness          (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    ice_thickness_uncertainty  (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    saturation_ratio           (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    TB                         (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    TB_uncertainty             (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    Tsurf                      (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    Sice                       (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    nPair                      (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    RFI_ratio                  (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    land                       (time, y, x) int8 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0\n",
+       "Attributes: (12/34)\n",
+       "    title:                     Daily gridded sea-ice thickness and auxiliary ...\n",
+       "    project:                   CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Pr...\n",
+       "    institution:               Alfred-Wegener-Institut Helmholtz Zentrum fuer...\n",
+       "    contributor_name:          Xiangshan Tian-Kunze (AWI), Lars Kaleschke (AW...\n",
+       "    publisher_email:           xiangshan.tiankunze@awi.de\n",
+       "    platform:                  ESA Soil Moisture and Ocean Salinity (SMOS) mi...\n",
+       "    ...                        ...\n",
+       "    geospatial_bounds_crs:     EPSG:3413\n",
+       "    time_coverage_start:       2017-05-27T00:00:00\n",
+       "    time_coverage_end:         2017-05-27T23:59:59\n",
+       "    time_coverage_duration:    P1D\n",
+       "    time_coverage_resolution:  P1D\n",
+       "    references:                (1) Kaleschke, L., X. Tian-Kunze, N. Maass, M....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2145c70c-d539-475b-b4c2-0abc6d8d6a35' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2145c70c-d539-475b-b4c2-0abc6d8d6a35' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>x</span>: 632</li><li><span class='xr-has-index'>y</span>: 664</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-b9dff2a7-9212-4630-b136-50e214624429' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b9dff2a7-9212-4630-b136-50e214624429' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-05-27T12:00:00</div><input id='attrs-77b8a308-6aeb-4c23-afeb-a981c0de66ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77b8a308-6aeb-4c23-afeb-a981c0de66ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-411ced2b-ae77-48fb-baea-3c6864eec7ae' class='xr-var-data-in' type='checkbox'><label for='data-411ced2b-ae77-48fb-baea-3c6864eec7ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-05-27T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.944e+03 -3.931e+03 ... 3.944e+03</div><input id='attrs-05874807-ac30-4b42-89ce-ae56bc37b2b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05874807-ac30-4b42-89ce-ae56bc37b2b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85cd707b-d085-4341-8c00-bb01acde07d9' class='xr-var-data-in' type='checkbox'><label for='data-85cd707b-d085-4341-8c00-bb01acde07d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>long_name :</span></dt><dd>x coordinate of projection</dd><dt><span>units :</span></dt><dd>km</dd><dt><span>grid_spacing :</span></dt><dd>12.5 km</dd></dl></div><div class='xr-var-data'><pre>array([-3943.75, -3931.25, -3918.75, ...,  3918.75,  3931.25,  3943.75],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-3.944e+03 -3.931e+03 ... 4.344e+03</div><input id='attrs-4ab7577d-9f76-4266-bd80-bc82f6c29569' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ab7577d-9f76-4266-bd80-bc82f6c29569' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0f8f7f0-7310-49df-9fb9-e84e58bfe794' class='xr-var-data-in' type='checkbox'><label for='data-d0f8f7f0-7310-49df-9fb9-e84e58bfe794' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>long_name :</span></dt><dd>y coordinate of projection</dd><dt><span>units :</span></dt><dd>km</dd><dt><span>grid_spacing :</span></dt><dd>12.5 km</dd></dl></div><div class='xr-var-data'><pre>array([-3943.75, -3931.25, -3918.75, ...,  4318.75,  4331.25,  4343.75],\n",
+       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-41.51 -41.58 ... -39.36 -39.3</div><input id='attrs-178c2411-f678-4279-bfab-eae865902e46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-178c2411-f678-4279-bfab-eae865902e46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8efc0bd9-0f93-4394-89a3-2a7208e89649' class='xr-var-data-in' type='checkbox'><label for='data-8efc0bd9-0f93-4394-89a3-2a7208e89649' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude coordinate</dd></dl></div><div class='xr-var-data'><pre>array([[-41.51427 , -41.58248 , -41.65062 , ..., -41.65062 , -41.58248 ,\n",
+       "        -41.51427 ],\n",
+       "       [-41.58248 , -41.650837, -41.71912 , ..., -41.71912 , -41.650837,\n",
+       "        -41.58248 ],\n",
+       "       [-41.65062 , -41.71912 , -41.787548, ..., -41.787548, -41.71912 ,\n",
+       "        -41.65062 ],\n",
+       "       ...,\n",
+       "       [-39.43726 , -39.50125 , -39.565166, ..., -39.565166, -39.50125 ,\n",
+       "        -39.43726 ],\n",
+       "       [-39.367115, -39.43097 , -39.494747, ..., -39.494747, -39.43097 ,\n",
+       "        -39.367115],\n",
+       "       [-39.296913, -39.360634, -39.424274, ..., -39.424274, -39.360634,\n",
+       "        -39.296913]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-135.0 -135.1 ... 42.15 42.24</div><input id='attrs-e28e3a4f-9286-443a-b154-683f859179d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e28e3a4f-9286-443a-b154-683f859179d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1409063c-9465-4b1e-83ea-ca3848bea017' class='xr-var-data-in' type='checkbox'><label for='data-1409063c-9465-4b1e-83ea-ca3848bea017' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude coordinate</dd></dl></div><div class='xr-var-data'><pre>array([[-135.      , -135.09094 , -135.18217 , ...,  135.18217 ,  135.09094 ,\n",
+       "         135.      ],\n",
+       "       [-134.90906 , -135.      , -135.09123 , ...,  135.09123 ,  135.      ,\n",
+       "         134.90906 ],\n",
+       "       [-134.81783 , -134.90877 , -135.      , ...,  135.      ,  134.90877 ,\n",
+       "         134.81783 ],\n",
+       "       ...,\n",
+       "       [ -42.40137 ,  -42.31081 ,  -42.21999 , ...,   42.21999 ,   42.31081 ,\n",
+       "          42.40137 ],\n",
+       "       [ -42.318924,  -42.22839 ,  -42.137596, ...,   42.137596,   42.22839 ,\n",
+       "          42.318924],\n",
+       "       [ -42.236736,  -42.14623 ,  -42.055458, ...,   42.055458,   42.14623 ,\n",
+       "          42.236736]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87ec279f-54fb-4c94-8228-ae869e65dae8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87ec279f-54fb-4c94-8228-ae869e65dae8' class='xr-section-summary' >Data variables: <span>(10)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>sea_ice_thickness</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-ecfdc309-b035-425a-8df2-69adf1e9e07a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ecfdc309-b035-425a-8df2-69adf1e9e07a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30d60e86-c295-4a50-bcf7-45302bdf9678' class='xr-var-data-in' type='checkbox'><label for='data-30d60e86-c295-4a50-bcf7-45302bdf9678' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea ice thickness</dd><dt><span>long_name :</span></dt><dd>SMOS sea ice thickness</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_thickness_uncertainty</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-cc034fa6-6829-43cd-9f01-b98f386d5713' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc034fa6-6829-43cd-9f01-b98f386d5713' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72128ef4-902b-48dc-a333-6e7631b8f11e' class='xr-var-data-in' type='checkbox'><label for='data-72128ef4-902b-48dc-a333-6e7631b8f11e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea ice thickness total uncertainty</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>saturation_ratio</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-5a78017e-754d-4b5a-8749-4983b49af494' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a78017e-754d-4b5a-8749-4983b49af494' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2027e140-2157-4545-b62f-7fc27edb48b3' class='xr-var-data-in' type='checkbox'><label for='data-2027e140-2157-4545-b62f-7fc27edb48b3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ratio of retrieved ice thickness and maximal retrievable ice thickness </dd><dt><span>units :</span></dt><dd>%</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TB</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0da47863-b5f0-4f13-a824-9ce3f696badf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0da47863-b5f0-4f13-a824-9ce3f696badf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb04ee22-2415-4d62-a85d-5f37490c597d' class='xr-var-data-in' type='checkbox'><label for='data-eb04ee22-2415-4d62-a85d-5f37490c597d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>brightness temperature intensity (TBh+TBv)/2 </dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TB_uncertainty</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-0bce17b2-4604-476b-97dc-2a2fbc7cb24a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bce17b2-4604-476b-97dc-2a2fbc7cb24a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-21543e47-f1c4-4301-8949-bb00eb37b0d9' class='xr-var-data-in' type='checkbox'><label for='data-21543e47-f1c4-4301-8949-bb00eb37b0d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>brightness temperature uncertainty defined as one standard deviation of TB devided by the sqrt(nPair)</dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tsurf</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-a0815a87-7c27-42cc-a26f-0e532a50f35a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0815a87-7c27-42cc-a26f-0e532a50f35a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01f51cb4-4d6d-479a-9493-9d0b3eb800d2' class='xr-var-data-in' type='checkbox'><label for='data-01f51cb4-4d6d-479a-9493-9d0b3eb800d2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SMOS derived snow surface temperature  </dd><dt><span>units :</span></dt><dd>K</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sice</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-50eed65d-65ce-4b31-b305-d6ca474e8180' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-50eed65d-65ce-4b31-b305-d6ca474e8180' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c40398c3-2699-4cef-9022-f1de3f7ff878' class='xr-var-data-in' type='checkbox'><label for='data-c40398c3-2699-4cef-9022-f1de3f7ff878' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bulk ice salinity </dd><dt><span>units :</span></dt><dd>psu</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nPair</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-1d5a4025-17d5-483c-97f9-36ee9fe32c70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d5a4025-17d5-483c-97f9-36ee9fe32c70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-026dda3f-6559-4b2a-95f8-664095a6b454' class='xr-var-data-in' type='checkbox'><label for='data-026dda3f-6559-4b2a-95f8-664095a6b454' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of TBh and TBv pairs available</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RFI_ratio</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-9127b0e2-034d-42c9-9828-9971cb5026fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9127b0e2-034d-42c9-9828-9971cb5026fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7379b89-b659-49f2-aa22-4362db27f201' class='xr-var-data-in' type='checkbox'><label for='data-c7379b89-b659-49f2-aa22-4362db27f201' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>percent</dd><dt><span>long_name :</span></dt><dd>percent of RFI-contaminated measurements in total measurements</dd></dl></div><div class='xr-var-data'><pre>array([[[nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        ...,\n",
+       "        [nan, nan, ..., nan, nan],\n",
+       "        [nan, nan, ..., nan, nan]]], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>land</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-d476b6cf-9d18-4bb7-8892-28755e374dc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d476b6cf-9d18-4bb7-8892-28755e374dc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2384a5fd-aa0f-4aa0-a3c4-e8dcc43166ed' class='xr-var-data-in' type='checkbox'><label for='data-2384a5fd-aa0f-4aa0-a3c4-e8dcc43166ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>land_binary_mask</dd><dt><span>long_name :</span></dt><dd>land_mask</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_range :</span></dt><dd>[0 1]</dd></dl></div><div class='xr-var-data'><pre>array([[[0, 0, ..., 0, 0],\n",
+       "        [0, 0, ..., 0, 0],\n",
+       "        ...,\n",
+       "        [0, 0, ..., 0, 0],\n",
+       "        [0, 0, ..., 0, 0]]], dtype=int8)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-82db4029-2b91-46ad-8696-1367793c5bbd' class='xr-section-summary-in' type='checkbox'  ><label for='section-82db4029-2b91-46ad-8696-1367793c5bbd' class='xr-section-summary' >Attributes: <span>(34)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>Daily gridded sea-ice thickness and auxiliary parameters from satellite L-band radiometry data</dd><dt><span>project :</span></dt><dd>CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Processing and Dissemination Tasks, supported by ESA</dd><dt><span>institution :</span></dt><dd>Alfred-Wegener-Institut Helmholtz Zentrum fuer Polar und Meeresforschung (AWI), http://www.awi.de</dd><dt><span>contributor_name :</span></dt><dd>Xiangshan Tian-Kunze (AWI), Lars Kaleschke (AWI), Stefan Hendricks (AWI)</dd><dt><span>publisher_email :</span></dt><dd>xiangshan.tiankunze@awi.de</dd><dt><span>platform :</span></dt><dd>ESA Soil Moisture and Ocean Salinity (SMOS) mission</dd><dt><span>sensor :</span></dt><dd>Microwave Imaging Radiometer using Aperture Synthesis (MIRAS)</dd><dt><span>source :</span></dt><dd>SMOS v724 L1C brightness temperature</dd><dt><span>product_version :</span></dt><dd>3.3</dd><dt><span>processing_level :</span></dt><dd>l3c</dd><dt><span>grid :</span></dt><dd>NSIDC polar stereographic projection. https://nsidc.org/data/polar-stereo/ps_grids.html </dd><dt><span>tracking_id :</span></dt><dd>b43d9003-4077-4779-be93-3420f314adc6</dd><dt><span>naming_authority :</span></dt><dd>de.awi</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>history :</span></dt><dd>Product generated with SMOS sea ice thickness retrieval Algorithm v3.3</dd><dt><span>summary :</span></dt><dd>This dataset contains Level-3 daily sea ice thickness products from satellite observations in the northern hemisphere. Northern hemisphere sea ice thickness coverage is limited to the winter month between October and April. 100% sea ice coverage is assumed, which leads to underestimation of sea ice thickness.</dd><dt><span>topiccategory :</span></dt><dd>Oceans Climatology Meteorology Atmosphere</dd><dt><span>keywords :</span></dt><dd>Earth Science &gt; Cryosphere &gt; Sea Ice &gt; Ice Depth/Thickness, Earth Science &gt; Oceans &gt; Sea Ice &gt; Ice Depth/Thickness, Earth Science &gt; Climate Indicators &gt; Cryospheric Indicators &gt; Ice Depth/Thickness, Geographic Region &gt; Northern Hemisphere, Vertical Location &gt; Sea Surface, Institutions &gt; AWI &gt; Alfred Wegener Institute for Polar and Marine Research</dd><dt><span>id :</span></dt><dd>SMOS_Icethickness_v3.3_south_20170527</dd><dt><span>doi :</span></dt><dd>None</dd><dt><span>date_created :</span></dt><dd>Fri Jan 21 17:02:13 2022</dd><dt><span>geospatial_lat_min :</span></dt><dd>50.0</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>spatial_resolution :</span></dt><dd>12.5 km grid spacing</dd><dt><span>geospatial_bounds_crs :</span></dt><dd>EPSG:3413</dd><dt><span>time_coverage_start :</span></dt><dd>2017-05-27T00:00:00</dd><dt><span>time_coverage_end :</span></dt><dd>2017-05-27T23:59:59</dd><dt><span>time_coverage_duration :</span></dt><dd>P1D</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>references :</span></dt><dd>(1) Kaleschke, L., X. Tian-Kunze, N. Maass, M. Maekynen, and M. Drusch (2012), Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period, Geophys. Res. Lett., 39, L05501, doi:10.1029/2012GL050916. (2) Tian-Kunze, X., Kaleschke, L., Maass, N., Maekynen, M., Serra, N., Drusch, M., and Krumpen, T., SMOS-derived sea ice thickness: algorithm baseline, product specifications and initial verification, The Cryosphere, 8, 997-1018, doi:10.5194/tc-8-997-2014, 2014 (3) Kaleschke, L., Tian-Kunze, X., Maass, N., Beitsch, A., Wernecke, A., Miernecki, M. and others,  SMOS sea ice product: operational application and validation in the Barents Sea marginal ice zone, Remote Sensing of Environment 180 (2016), 264-273. doi: 10.1016/j.rse.2016.03.009 (4) Tietsche, S., Alonso-Balmaseda, M., Rosnay, P., Zuo, H., Tian-Kunze, X., and Kaleschke, L.: Thin Arctic sea ice in L-band observations and an ocean reanalysis, The Cryosphere, 12, 2051-2072, https://doi.org/10.5194/tc-12-2051-2018, 2018.</dd></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.Dataset>\n",
+       "Dimensions:                    (time: 1, x: 632, y: 664)\n",
+       "Coordinates:\n",
+       "  * time                       (time) datetime64[ns] 2017-05-27T12:00:00\n",
+       "  * x                          (x) float32 -3.944e+03 -3.931e+03 ... 3.944e+03\n",
+       "  * y                          (y) float32 -3.944e+03 -3.931e+03 ... 4.344e+03\n",
+       "    latitude                   (y, x) float32 -41.51 -41.58 ... -39.36 -39.3\n",
+       "    longitude                  (y, x) float32 -135.0 -135.1 ... 42.15 42.24\n",
+       "Data variables:\n",
+       "    sea_ice_thickness          (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    ice_thickness_uncertainty  (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    saturation_ratio           (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    TB                         (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    TB_uncertainty             (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    Tsurf                      (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    Sice                       (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    nPair                      (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    RFI_ratio                  (time, y, x) float32 nan nan nan ... nan nan nan\n",
+       "    land                       (time, y, x) int8 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0\n",
+       "Attributes: (12/34)\n",
+       "    title:                     Daily gridded sea-ice thickness and auxiliary ...\n",
+       "    project:                   CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Pr...\n",
+       "    institution:               Alfred-Wegener-Institut Helmholtz Zentrum fuer...\n",
+       "    contributor_name:          Xiangshan Tian-Kunze (AWI), Lars Kaleschke (AW...\n",
+       "    publisher_email:           xiangshan.tiankunze@awi.de\n",
+       "    platform:                  ESA Soil Moisture and Ocean Salinity (SMOS) mi...\n",
+       "    ...                        ...\n",
+       "    geospatial_bounds_crs:     EPSG:3413\n",
+       "    time_coverage_start:       2017-05-27T00:00:00\n",
+       "    time_coverage_end:         2017-05-27T23:59:59\n",
+       "    time_coverage_duration:    P1D\n",
+       "    time_coverage_resolution:  P1D\n",
+       "    references:                (1) Kaleschke, L., X. Tian-Kunze, N. Maass, M...."
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xa9"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55cd82fb",
+   "metadata": {},
+   "source": [
+    "## Example case: missing data in Indian sector 2023-04-27"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "be741403",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2023-04-20    0.019798\n",
+       "2023-04-21    0.019180\n",
+       "2023-04-22    0.016068\n",
+       "2023-04-23    0.020474\n",
+       "2023-04-24    0.019198\n",
+       "2023-04-25    0.019146\n",
+       "2023-04-26    0.022393\n",
+       "2023-04-27    2.546068\n",
+       "2023-04-28    0.018012\n",
+       "2023-04-29    0.019840\n",
+       "2023-04-30    0.021435\n",
+       "2023-05-01    0.018677\n",
+       "Freq: D, Name: Indian, dtype: float64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "DF_nan_v33['Indian']['2023-04-20':'2023-05-01']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "f3b04f8b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south/2023/04/SMOS_Icethickness_v3.3_south_20230427.nc'"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Filename\n",
+    "smos_fl_v33['2023-04-27'] "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "df70a88c",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f6381822d10>"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xa7=xr.open_dataset(smos_fl_v33['2023-04-27'])\n",
+    "tb=array(xa7.TB)[0,:,:]\n",
+    "imshow(tb,origin='lower')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "id": "fa8a05f1",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "figure()\n",
+    "subplot(1,2,1)\n",
+    "xa7=xr.open_dataset(smos_fl_v32['2014-08-20'])\n",
+    "tb=array(xa7.TB)[0,:,:]\n",
+    "imshow(tb,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v620 v32')\n",
+    "\n",
+    "subplot(1,2,2)\n",
+    "xa6=xr.open_dataset(smos_fl_v33['2014-08-20'])\n",
+    "tb6=array(xa6.TB)[0,:,:]\n",
+    "imshow(tb6,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v724 v33')\n",
+    "#colorbar()\n",
+    "tight_layout()\n",
+    "savefig('20140820_v32_v33.png',dpi=300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "id": "9952f0a9",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "figure()\n",
+    "subplot(1,2,1)\n",
+    "xa7=xr.open_dataset(smos_fl_v32['2013-06-21'])\n",
+    "tb=array(xa7.TB)[0,:,:]\n",
+    "imshow(tb,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v620 v32')\n",
+    "\n",
+    "subplot(1,2,2)\n",
+    "xa6=xr.open_dataset(smos_fl_v33['2013-06-21'])\n",
+    "tb6=array(xa6.TB)[0,:,:]\n",
+    "imshow(tb6,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v724 v33')\n",
+    "#colorbar()\n",
+    "tight_layout()\n",
+    "savefig('20130621_v32_v33.png',dpi=300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "a1be6278",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "dateshow='2019-05-10'\n",
+    "figure()\n",
+    "subplot(1,2,1)\n",
+    "xa7=xr.open_dataset(smos_fl_v32[dateshow])\n",
+    "tb=array(xa7.TB)[0,:,:]\n",
+    "imshow(tb,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v620 v32')\n",
+    "\n",
+    "subplot(1,2,2)\n",
+    "xa6=xr.open_dataset(smos_fl_v33[dateshow])\n",
+    "tb6=array(xa6.TB)[0,:,:]\n",
+    "imshow(tb6,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v724 v33')\n",
+    "#colorbar()\n",
+    "tight_layout()\n",
+    "savefig(dateshow+'_v32_v33.png',dpi=300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "id": "f472a734",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "figure()\n",
+    "subplot(1,2,1)\n",
+    "xa7=xr.open_dataset(smos_fl_v32['2012-06-28'])\n",
+    "tb=array(xa7.TB)[0,:,:]\n",
+    "imshow(tb,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v620 v32')\n",
+    "\n",
+    "subplot(1,2,2)\n",
+    "xa6=xr.open_dataset(smos_fl_v33['2012-06-28'])\n",
+    "tb6=array(xa6.TB)[0,:,:]\n",
+    "imshow(tb6,origin='lower',cmap=cm.turbo)\n",
+    "title('L1C v724 v33')\n",
+    "#colorbar()\n",
+    "tight_layout()\n",
+    "savefig('20120628_v32_v33.png',dpi=300)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "id": "1e121c58",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!convert -trim 20140820_v32_v33.png 20140820_v32_v33.png"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 112,
+   "id": "63ddde71",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!convert -trim 20130621_v32_v33.png 20130621_v32_v33.png"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "id": "a5305723",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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": [
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\" width=\"640\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.image.AxesImage at 0x7f6379bac1c0>"
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "figure()\n",
+    "subplot(1,2,1)\n",
+    "xa7=xr.open_dataset(smos_fl_v32['2020-05-23'])\n",
+    "tb=array(xa7.TB)[0,:,:]\n",
+    "imshow(tb,origin='lower')\n",
+    "subplot(1,2,2)\n",
+    "xa6=xr.open_dataset(smos_fl_v33['2020-05-23'])\n",
+    "tb6=array(xa6.TB)[0,:,:]\n",
+    "imshow(tb6,origin='lower')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c85f5f86",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "figure()\n",
+    "subplot(1,2,1)\n",
+    "xa7=xr.open_dataset(smos_fl_v32['2013-06-23'])\n",
+    "tb=array(xa7.TB)[0,:,:]\n",
+    "imshow(tb,origin='lower')\n",
+    "subplot(1,2,2)\n",
+    "xa6=xr.open_dataset(smos_fl_v33['2020-05-23'])\n",
+    "tb6=array(xa6.TB)[0,:,:]\n",
+    "imshow(tb6,origin='lower')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "1cb7f906",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'/isibhv/projects/siral/product/smos/SMOS_v620_L3C_Sea_v3/south/2019/08/SMOS_Icethickness_v3.2_south_20190814.nc'"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "smos_fl_v32['2019-08-14']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "431cc497",
+   "metadata": {},
+   "source": [
+    "## Time series"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "9f3724c4",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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,iVBORw0KGgoAAAANSUhEUgAAA+gAAALuCAYAAAA9jTxNAAAAAXNSR0IArs4c6QAAIABJREFUeF7sXQd4VVXWXS+9kEIKpFBSaAm9946AYAF1HBFwUAEZRmUE1HFQx3FmdNSBf2wIo4IIKgJWUBALxFCk9xoSEgKkJ0B6/799bl5LeyX35r2bt8/3vS/lnXvOPmvd++5bd++zt6a6uroa3BgBRoARYAQYAUaAEWAEGAFGgBFgBBgBRsCmCGhYoNsUf56cEWAEGAFGgBFgBBgBRoARYAQYAUaAERAIsEDnE4ERYAQYAUaAEWAEGAFGgBFgBBgBRoARsAMEWKDbAQlsAiPACDACjAAjwAgwAowAI8AIMAKMACPAAp3PAUaAEWAEGAFGgBFgBBgBRoARYAQYAUbADhBggW4HJLAJjAAjwAgwAowAI8AIMAKMACPACDACjAALdD4HGAFGgBFgBBgBRoARYAQYAUaAEWAEGAE7QIAFuh2QwCYwAowAI8AIMAKMACPACDACjAAjwAgwAizQ+RxgBBgBRoARYAQYAUaAEWAEGAFGgBFgBOwAARbodkACm8AIMAKMACPACDACjAAjwAgwAowAI8AIsEDnc4ARYAQYAUaAEWAEGAFGgBFgBBgBRoARsAMEWKDbAQlsAiPACDACjAAjwAgwAowAI8AIMAKMACPAAp3PAUaAEWAEGAFGgBFgBBgBRoARYAQYAUbADhBggW4HJLAJjAAjwAgwAowAI8AIMAKMACPACDACjAALdD4HGAFGgBFgBBgBRoARYAQYAUaAEWAEGAE7QIAFuh2QwCYwAowAI8AIMAKMACPACDACjAAjwAgwAizQ+RxgBBgBRoARYAQYAUaAEWAEGAFGgBFgBOwAARbodkACm8AIMAKMACPACDACjAAjwAgwAowAI8AIsEC3wTmQnZ2NH374AREREfD09LSBBTwlI8AIMAKMACPACDACjAAjwAgwAoxAUxEoLi5GcnIyJk2ahKCgoKYOBxboTYbQ8gE++eQTzJo1y/ID+QhGgBFgBBgBRoARYAQYAUaAEWAEGAG7Q2DDhg2YOXNmk+1igd5kCC0fYO/evRgxYgSIxJiYGMsHaMIR+fn5OHLkCPr37w8fH58mjMSH2jsCzLW9MySffcy1fFiqYSTmWw0syWMjcy0PjmoYhblWA0vy2Mhcy4OjPY1y7tw54Xzds2cPhg8f3mTTWKA3GULLBzh69KgQyCSU+/XrZ/kATTjixo0biIuLw+jRo+Hv79+EkfhQe0eAubZ3huSzj7mWD0s1jMR8q4EleWxkruXBUQ2jMNdqYEkeG5lreXC0p1Hk1nYs0G3ArtwkWrIE/lCwBC1192Wu1c2fJdYz15agpf6+zLf6OTR3Bcy1uUipvx9zrX4OzV0Bc20uUurpJ7e2Y4FuA+7lJtGSJfCHgiVoqbsvc61u/iyxnrm2BC3192W+1c+huStgrs1FSv39mGv1c2juCphrc5FSTz+5tR0LdBtwLzeJliyBPxQsQUvdfZlrdfNnifXMtSVoqb8v861+Ds1dAXNtLlLq78dcq59Dc1egJNelpaXIzMxEeXk5qqqqzDWJ+5mBgJOTE/z8/BAYGFint9zajgW6GYTI3UVuEi2xT8kPBUvs4L7KI8BcK4+xvczAXNsLE81jB/PdPDjbwyzMtT2w0Dw2MNfNg7M9zKIU1zRueno6qqur4ezsDBKU3ORDgB56UGvTpk0dkS63tmOBLh9vZo8kN4lmTwxAqQ8FS2zgvs2DAHPdPDjbwyzMtT2w0Hw2MN/Nh7WtZ2Kubc1A883PXDcf1raeSSmuqQ431eNu164dV2pSgGQS6JcuXYK7uzuioqKMZpBb27FAV4BAU0PKTaKp+QzfV+pDwRIbuG/zIMBcNw/O9jALc20PLDSfDcx382Ft65mYa1sz0HzzM9fNh7WtZ1KKaxKP1Dp16mTrJbbY+RvCWG5txwLdBqeQ3CRasgSlPhQssYH7Ng8CzHXz4GwPszDX9sBC89nAfDcf1raeibm2NQPNNz9z3XxY23ompbhmga48syzQlcfYZjOwQLcZ9A41sVI3AIcCUSWLZa5VQpRMZjLfMgGpgmGYaxWQJJOJzLVMQKpgGKW4ZoGuPPks0JXH2GYzsEC3GfQONbFSNwCHAlEli2WuVUKUTGYy3zIBqYJhmGsVkCSTicy1TECqYBiluFaLQKf1z58/H9u3b4evry+WLVuGhQsXCubo/7t37xZ7vdesWYM5c+aYZPT8+fN47rnnxHG0T7xnz5544YUXMGXKFJPHfvTRR1i1ahV+++03k32pAwt0s2BSZycW6OrkTW1WK3UDUBsOjmAvc+0ILOvXyHw7Dt/MNXPtOAg4zkqVuq7VItBnzZqFoqIirFu3TgjeCRMmYMuWLRg7dixWrlyJbt26YcmSJVi0aJFJgZ6UlIT+/ftj3rx5ePrpp+Ht7Y0vvvhCCP61a9fivvvua/TEYoHuONedyZWyQDcJEXeQAQGlbgAymMZDyIwAcy0zoHY+HPNt5wTJaB5zLSOYdj4Uc23nBMlonlJcq0GgFxYWIiAgAMeOHUNsbKxAlcQ41W5fv369DuUhQ4ZgwYIFJgX67NmzkZWVhR07dhgx9OqrrwrPOGW212g0OHfuHP785z/j8OHDogTd3LlzQcf27dtXeN09PT3F8Tk5OSJLe0ONPegyXgj2NhQLdHtjpGXao9QNoGWipe5VMdfq5s9S65lvSxFTb3/mWr3cWWo5c20pYurtrxTX9YnHRRuPITGrQHGwooNb4c0H+pqch4T54MGDUVZWputLwnzFihVCtGubuQI9NDQU//rXv/DII48YzU2e9ejoaFD4e1hYmPDKP/nkk+JVVVWFEydOYNiwYWAPuknKHKcDC3TH4dqWK1XqBmDLNfHc9SPAXDvWmcF8Ow7fzDVz7TgIOM5Klbqu6xPod7wdj9PXbikObo9wX2x7YqTJeeLj4zF9+nRkZ2fr+m7duhVPPfWUbn83vWGuQHd1dQUdP3nyZKO5qR68l5cX9uzZg9TUVCHiT506Vcc+FugmKXOcDizQHYdrW65UqRuALdfEc7NA53MA4Gvbcc4C5pq5dhwEHGelSl3XavWgb9iwAcuXLzfpQe/evTtSUlLEibJ69WrMnDkT5njQv/nmG+zbtw9ff/01C3THucwsXykLdMsx4yMsR0CpG4DllvARSiPAXCuNsH2Nz3zbFx9KWsNcK4mufY3NXNsXH0paoxTXatqDfvz4ccTExAiYly5dioyMDMX2oG/cuBG0J/3kyZN1aKVEde+99x5ncVfyhFfL2CzQ1cKUuu1U6gagblRapvXMdcvktaFVMd+OwzdzzVw7DgKOs1Klrms1CHRimTzfpaWlIss67RUfP348Nm3ahHHjxom96bRHfPTo0bpEbhTGTond6muJiYkYMGCAyOL+zDPPiLD22lnc8/Pz0aVLFyxevBhPPPEEKisrdXvQKbkcJYwj7Dw8PEyehJwkziRE6u3AAl293KnJcqVuAGrCwFFsZa4dhWlpncy34/DNXDPXjoOA46xUqetaLQKd1k+CWlsH/fnnn9fVQR8zZgzi4uKMTgYS8o3VQ6cM7VQHfdeuXaioqBB10F988UWjOuinT58WWdyPHDkCNzc3IcppXzo9ELjnnntECDw9GCBPPmdxd5xr0WilLNAdlPhmXrZSN4BmXgZPZwYCzLUZILWgLsx3CyLTxFKYa+bacRBwnJUqdV2rRaCrmWn2oKuZPRO2s0BvweTa0dKUugHY0RLZlBoEmGvHOhWYb8fhm7lmrh0HAcdZqVLXNQt05c8hFujKY2yzGVig2wx6h5pYqRuAQ4GoksUy1yohSiYzmW+ZgFTBMMy1CkiSyUTmWiYgVTCMUlyzQFeefBboymNssxlYoNsMeoeaWKkbgEOBqJLFMtcqIUomM5lvmYBUwTDMtQpIkslE5lomIFUwjFJcs0BXnnwW6MpjbLMZWKDbDHqHmlipG4BDgaiSxTLXKiFKJjOZb5mAVMEwzLUKSJLJROZaJiBVMIxSXLNAV558FujKY2yzGVig2wx6h5pYqRuAQ4GoksUy1yohSiYzmW+ZgFTBMMy1CkiSyUTmWiYgVTCMUlyzQFeefBboymNssxlYoNsMeoeaWKkbgEOBqJLFMtcqIUomM5lvmYBUwTDMtQpIkslE5lomIFUwjFJcs0BXnnwW6MpjbLMZWKDbDHqHmlipG4BDgaiSxTLXKiFKJjOZb5mAVMEwzLUKSJLJROZaJiBVMIxSXLNAV558FujKY2yzGVig2wx6h5pYqRuAQ4GoksUy1yohSiYzmW+ZgFTBMMy1CkiSyUTmWiYgVTCMUlyzQFeefBboymNssxlYoNsMeoeaWKkbgEOBqJLFMtcqIUomM5lvmYBUwTDMtQpIkslE5lomIFUwjFJcq0Wg0/rnz5+P7du3w9fXF8uWLcPChQsFc/T/3bt3g9ayZs0azJkzp1FG9+3bh2effRanTp0S/Tp16oSXX34ZU6ZMUeRMYIGuCKz2MSgLdPvgoaVbodQNoKXjpsb1MddqZM16m5lv67FT25HMtdoYs95e5tp67NR2pFJcq0Wgz5o1C0VFRVi3bp0Q4hMmTMCWLVswduxYrFy5Et26dcOSJUuwaNGiRgX6rVu30KFDB7z55puYOXMmKisrcfDgQWg0GowYMUKR04IFuiKw2segLNDtg4eWboVSN4CWjpsa18dcq5E1621mvq3HTm1HMtdqY8x6e5lr67FT25FKca0GgV5YWIiAgAAcO3YMsbGxgjoS45mZmVi/fr2OyiFDhmDBggWNCvTDhw9jzJgxKCgoaPAU2LZtG55//nkkJyeL+VatWoVevXqJ/hEREXjsscfw6aef4sqVK+JBwYcffgh/f/8Gx2OBrrarzQJ7WaBbABZ3tRoBpW4AVhvEByqGAHOtGLR2OTDzbZe0KGIUc60IrHY5KHNtl7QoYpRSXKtBoJMwHzx4MMrKynTYkjBfsWKFEO3aZo5AJw96VFQUbrvtNsyYMQNDhw5FcHCwbgzSW5MmTQKJ9AEDBgiPPYW/X7hwAe7u7kKg008KtafjaIzAwEDRr6HGAl2RS8I+BmWBbh88tHQrlLoBtHTc1Lg+5lqNrFlvM/NtPXZqO5K5Vhtj1tvLXFuPndqOVIrresXjF3OB7IvKQxTUBbj3A5PzxMfHY/r06cjOztb13bp1K5566ikR7m6JQKe+JLZff/11/PTTT0hNTcWoUaPw/vvvo3PnzvjjH/+I1q1b45VXXtGNGx0dLbzk5HkngU7e+yeeeEK8f+LECQwaNAjFxcVwcnKqdy0s0E1SrN4OLNDVy52aLFfqBqAmDBzFVubaUZiW1sl8Ow7fzDVz7TgIOM5Klbqu6xWPq0cBaSeUBze0N/DYrybnqc+DvmHDBixfvtykB7179+5ISUkRc6xevVrsOzdsFMZOIevkWd+/f79IFEcJ59zc3HTdyHP/wQcf4MEHHxQCnfav33333bp7Kwn69PR0tG3blgW6STZbWAcW6C2MUDtdjlI3ADtdrkObxVw7Fv3Mt+PwzVwz146DgOOsVKnrWg0edO0e9OPHjyMmJkaQvnTpUmRkZFi8B72+M4bC2SlUPT8/X4j10NBQvPTSS/WeXLU96CdPnhSh8ORBd3Z2ZoHuOJektFIW6I7GuG3Wq9QNwDar4VkbQ4C5dqzzg/l2HL6Za+bacRBwnJUqdV2rYQ86sUye79LSUqxduxZJSUkYP348Nm3ahHHjxom96VVVVRg9ejTmzp2L2bNnw9XVtV7BfP78eVB4/O9//3u0b98eWVlZmDdvnhDYO3fuxKFDh4R3fPPmzWJ/Ov2fPOoUBu/j4yM86J6envj+++8RFBQk7PLz8zN6UFD7rOQQ9xZ8nbJAb8Hk2tHSlLoB2NES2ZQaBJhrxzoVmG/H4Zu5Zq4dBwHHWalS17VaBDqtn4S0tg46ZVnX1kGnveFxcXFGJwMJ+frqoV+7dg2LFy/G3r17kZeXJ8Q1ifw33nhDeM6p7dixAy+88AISEhKEGKfya1RfXSvQDbO407G0P52yzDfUWKC34OuUBXoLJteOlqbUDcCOlsimsEB3yHOAr23HoZ25Zq4dBwHHWalS17VaBLq9ME0edCq7NnnyZLNNYoFuNlTq68gCXX2cqdFipW4AasSipdvMXLd0ho3Xx3w7Dt/MNXPtOAg4zkqVuq5ZoFt2DrFAtwyvFt+bBXqLp9guFqjUDcAuFsdGGCHAXDvWCcF8Ow7fzDVz7TgIOM5KlbquWaBbdg6xQLcMrxbfmwV6i6fYLhao1A3ALhbHRrBAd+BzgK9txyGfuWauHQcBx1mpUtc1C3TlzyEOcVceY5vNwALdZtA71MRK3QAcCkSVLJa5VglRMpnJfMsEpAqGYa5VQJJMJjLXMgGpgmGU4poFuvLks0BXHmObzcAC3WbQO9TESt0AHApElSyWuVYJUTKZyXzLBKQKhmGuVUCSTCYy1zIBqYJhlOKaBbry5LNAVx5jm83AAt1m0DvUxErdABwKRJUslrlWCVEymcl8ywSkCoZhrlVAkkwmMtcyAamCYZTimgW68uSzQFceY5vNwALdZtA71MRK3QAcCkSVLJa5VglRMpnJfMsEpAqGYa5VQJJMJjLXMgGpgmGU4poFuvLks0BXHmObzcAC3WbQO9TESt0AHApElSyWuVYJUTKZyXzLBKQKhmGuVUCSTCYy1zIBqYJhlOKaBbry5LNAVx5jm83AAt1m0DvUxErdABwKRJUslrlWCVEymcl8ywSkCoZhrlVAkkwmMtcyAamCYZTiWi0CndY/f/58bN++Hb6+vli2bBkWLlwomKP/7969G7SWNWvWYM6cOSYZLSsrQ2hoKLp06YL9+/eb7N+UDizQm4KenR/LAt3OCWoh5il1A2gh8LSoZTDXLYpOk4thvk1C1GI6MNcthkqTC2GuTULUYjooxbVaBPqsWbNQVFSEdevWCSE+YcIEbNmyBWPHjsXKlSvRrVs3LFmyBIsWLTJLoG/evBmPPfYYbt68ibNnz6Jr166KnSss0BWD1vYDs0C3PQeOYIFSNwBHwE5ta2Su1cZY0+xlvpuGn5qOZq7VxFbTbGWum4afmo5Wims1CPTCwkIEBATg2LFjiI2NFbSRGM/MzMT69et1NA4ZMgQLFiwwS6BPnToVnTt3FmMOGzYMr776qm6ciIgIrFq1CpMnTxb/o983btwovPTUfvnlFzz++OO4evUq7rnnHuTn56Nnz5546aWX6j2lWKCr6Uqz0FYW6BYCxt2tQkCpG4BVxvBBiiLAXCsKr90NznzbHSWKGcRcKwat3Q3MXNsdJYoZpBTXahDoJKIHDx4MCkvXNhLmK1asEAJb28wV6GlpaWjfvj1+++03cfzf//53XLlyBU5OTmKoxgR6bm6u7v37778fmzZtwh/+8AcRcs8CXbHT334HZoFuv9y0JMuUugG0JIxaylqY65bCpHnrYL7Nw6kl9GKuWwKL5q2BuTYPp5bQSymu6xPoz/76LC7fvKw4bJF+kXht1Gsm54mPj8f06dORnZ2t67t161Y89dRTItzdUoH++uuvi73q58+fB+EaEhKCb775BpMmTTIp0D/++GO89dZbOHz4sG7eAQMG4I477mCBbpLJFtiBBXoLJNUOl6TUDcAOl+rwJjHXjnUKMN+OwzdzzVw7DgKOs1Klruv6BPr9W+/HudxzioMbExCDTXduMjlPfR70DRs2YPny5SY96N27d0dKSoqYY/Xq1Zg5c6YIk3/wwQfx/PPPi//fe++9cHNzw2effWZSoP/73//GgQMH8NVXX+nspocHvXv3ZoFukskW2IEFegsk1Q6XpNQNwA6X6vAmMdeOdQow347DN3PNXDsOAo6zUqWuazV40LV70I8fP46YmBhB+tKlS5GRkWHxHnQS1xQKT5ngXV1dxVjFxcWoqqoChb77+/ujR48eePnll8X+cmoUuk77z+nFHnTHuebMWikLdLNg4k5NRECpG0ATzeLDFUCAuVYAVDsekvm2Y3JkNo25lhlQOx6OubZjcmQ2TSmu1bAHnaAkz3dpaSnWrl2LpKQkjB8/Xuz/HjdunNibTgJ79OjRmDt3LmbPni3Et7Ozcx0WKIkcZW3/9NNPde/RsbTHnYQ4ZXan40m0Ux/CZ8qUKWLfOQn0nJwcREZG4v333xee9y+++AKUYZ73oMt8wqtlOBboamFK3XYqdQNQNyot03rmumXy2tCqmG/H4Zu5Zq4dBwHHWalS17VaBDqtf968ebo66BSerq2DPmbMGMTFxRmdDCTka9dDLykpEbXPP/jgAyGuDRslituxY4eoiZ6cnCxC4E+ePAnaXz5y5EjQPnhtFveffvoJTzzxhMjifvfdd4tSbZQJ/rnnnqv3hOQs7o1cp7SZn/YrUGr8y5cvw9vbG7QvgcCkWnqGrbKyEm+88YYgMDU1VWT6oycyTz/9dL1PY+qb9vTp03jmmWewZ88e8faIESNASQkobMKaxgLdGtT4GEsRUOoGYKkd3F95BJhr5TG2pxmYb3tiQ1lbmGtl8bWn0Zlre2JDWVuU4lotAl1ZdJs2Ou0/J41InvT6Ggv0RvC97777xNMVemLSr18/FBQUiDAJEtJU4P6Pf/yj7mh6IvPee+/h4YcfFk9E9u3bJ/rS/999912TLCYkJGDgwIGiZh89YaFGGf/o4jp48KCou2dpY4FuKWLc3xoElLoBWGMLH6MsAsy1svja2+jMt70xopw9zLVy2NrbyMy1vTGinD1Kcc0C3XLOyNM+aNAg+Pj44MMPPxTinJy/QUFBLNAthXPv3r0iTMHd3V13KO0v6NOnD7KyskSxexcXF5w6dUpk4iNh/eabb+r6Llq0CG+//TZOnDghitE31uhhAJF37tw54X2nRp54Smxw++23Y/PmzZaaDxboFkPGB1iBgFI3ACtM4UNkQqCyqhqlFZUoLa9CaUUVSsorxc/svBs4eewoHrh9FFq3bi3TbDyMvSLA17a9MiO/Xcy1/Jja64jMtb0yI79dSnHNAt1yrmiv+jvvvCP2xJPTlaKuaU98Q4096JZjjCVLlohC91SgnsQ0bfJ/5ZVXRAICSgKgbfRkJCoqCn/961/xr3/9q8GZyDMfGBiIBx54AOvWrTPqR4XsP//8c1HHr1WrVhZZywLdIri4s5UIKHUDsNKcFnNYbZFMgrlECGZJLAvRXCOga79H/y/RCWyD/hWS4C4tr0RJzc8yAwEu3quoRHlldaM4RgV5Yt6oTpjeNxwernUTqrQYEhx8IXxtO84JwFwz146DgOOsVKnrmgW68ucQC3QrMJ4xYwa2bNkiws9pXzoVqScveXp6ep3R2rZti759+wrveEONkgtQWDyFyFOmQMNG/6MweepDKf4taSzQLUGL+1qLgFI3AGvtaY7jbpWUIymrEAUlFTrvspFwFuJXErt1RHUDItnQU22OSG6OdZqaI8DbDTMHd8DsoR3RxsfDVHd+X2UIOOK1rTKKZDOXuZYNSrsfiLm2e4pkM1Aprlmgy0ZRgwOxQLcQYwpBpxD3O+64Q6TJp0bh61Ss/siRI3VGo73r5eXlIgy+oUbjUIj7t99+izvvvNOoG/2Psv3RA4Ha2QMNO1IdPnoZNrKVkg9QBkEKwW/Olp+fL0Lsaf2034Jby0WgJXNdXFaJpJwiXMoqQmK2/pV+q0xVhDppAHcXJ3i4OMGt5kV/i5ez9D93F434W/rdCW7OTvBwlX5q/4+KMhy4kIrD2S4orqjSYeDipMHk2CDMGhiGbm0ti/RRFZAOZmxLvrYdjEqTy2WuTULUYjow1y2GSpMLUYpr0hu0xdcwatikMdzBIgQoCruiokJkkDds5BCmDPSkOUljNbVpqqurG4+ZbOoMzXA8pcQfOnSoEMIEUIcOHcSs0dHRIE85JYar3cgzTnvVtU9C6jNz/fr1eOihh/DDDz9g4sSJRl127twpPPTUp6FMf3QA7W2gdP/1teXLlwsbuTECjED9CJDWzCgG0oo0SCvWIL1I+j23FKiGRhbYnFANVyfAxQlGP1012r+l93V9dP+v+z4dox1H6l8N/ThSf8OxnOVZgg6Hogpgf4YGv6Y74UaZ8eCdfaswJrQasa2rQQ8GuDECjAAjwAgwAoxAy0GAtuXSq7Z4bDkrtP1KSGtS/XR6GbbExESx1ZoFeg0qlByOhPKhQ4dEuDoVttc29qDXPZGVempn+0uGLaiNgJq4Lq+swpW8EuENJ694Us3P1LximNh2LZbt6+GCTkFeiA72QnSQF1p7uQrPs/A6k6fZ1dAjXeOhrvFKk5dZ7a0214TnLxdzsP7gdZxOKzBaXofWHnhwQBju7tkGnm68T12N3Kvp2lYjvvZkM3NtT2woawtzrSy+9jS6UlyzB115ltmDbgbGZWVluOuuu0Q99C+//FKEtxs23oNeF0Sl9r2YQRd3aWYE7JFrSrCWmluECxn5SMjIx4WMAvEzMavAZAI0gs/bzRmd2/qga1sfdG7bCl1DpN+Dfdyh0ahfaFt7ijTENQVIHb2Shw/3XMaO0+moMoiX8vN0xYxBHfCHYR0R6udp7dR8nA0QsMdr2wYwOMSUzLVD0CwWyVwz101FgPegNxVB08fzHnQTGFH8P+0P37p1Kz755BORab12oyztr776qmJZ3Ddu3ChCHDiLu+kTmns0PwK2vNmTMLx2oxgXM/JxMaMAF9PzcTGTRHmByFZuqtHeahLgXdr6iJdWkIf7ezq0EG8It4upGdge9xtmThmFoID6y6zRg5F1+5Kx8VAqCkordENRBMGUnqF4dEQkerf3N0UNv28HCNjy2raD5TuUCcy149DNXDPXTUVALQKdzvX58+dj+/bt8PX1FVW3KPE2Nfo/5eiitaxZswZz5sxpFJbk5GSx554iqj08TCfFjYiIwKpVqzB58mSr4GaB3ghsVVVVePDBB0WZs//973+YN29evb1pPzplam+oDvp6eYcFAAAgAElEQVTx48fRq1cvcSwljKP9A35+fkZ7NygBHO1BP3/+PNq1ayf6auugk4dem5DOEpY5i7slaHFfaxFojps9CfHM/FIhxC+kSwKcvOOXMguMRGBDa3B11iA6uFWNV1z70wftA7zg3AJCz63lrr7jbhSVIe5iFi5nF2Js1zZGYnrjvgT85duLoDJrL9/dCyM6BzU4dX5JOTYdvoqP9l1Gam6xUb+BEa2FUL8tNoTxl5M8mcdqjmtbZpN5OCsRYK6tBE6FhzHXKiTNSpOV4lotAp1ydxUVFYkS1mTzhAkTRNLtsWPHYuXKlejWrZvYz71o0SIW6FaeYzY5bPHixfi///s/sd987ty5dWy47bbbRHI4alQebfXq1Xj44YcxfPhw7N27F2vXrsVjjz0mnqBom/YJDNU3/+ijj3T/v3DhAgYNGiSSLjz55JPi/2+99ZbwnB88eBBdu3a1GAMW6BZDxgdYgYDcN4CcAhLiBTVecfKMS97xm8XlJq0jrR0R5F3jCZc84l1DWqFjoDdcnZ1MHu8oHaiM27fHryMlpwg9wn0xuYc+Syg9AJn0318FFM/d3g2PjdYnmNx7LhUz152UPp9m9MVdvcNMQkbbDX48my7C3w8l5xn1bx/giTnDInH/gHbw8XA1ORZ3aF4E5L62m9d6ns0SBJhrS9BSd1/mWt38WWK9UlyrQaAXFhYiICAAx44dQ2xsrICNxDgl7qbE29pGJaxJw1nqQadM6hRVrS2PTfnJ6HfSedTYg27JmWphXwI/Li6uwaN27dolUt1To1D4119/HR988AGuXr0qvOAk6p955hlRikDbGhLo9P7JkydFfxL31EaMGIHXXntN53230HxR5qx///6yZfqzZH6lPhQssYH7Ng8C1nJNgpv2hdcW49kF5pUw6xDghS414em0R7xzGx9EBXvDw5UTkmmZ33LkKhIy8xHcyh1zR0bpTghK7tbthR0g8XxPv3CsuL+P7j0qLRfz4g7xN+0df/Wenrr3rmZkY/GG/Sh29cU3j4+Ck0H0AYl+d5fGsT959YYQ6t+dTEOFwUZ1H3cX3D+wPeYMixBRDdzsAwFrr237sJ6tsAQB5toStNTdl7lWN3+WWK8U12oQ6CTMBw8eDMojpm0kzFesWCFEu7axQG8BZdYsuSjsoS8LdHtgoeXbYOoGUFhaIULRKSRd2iMu7RVPv1ViFjhhfh5SaLoQ4VLCtk5tWsHLTf/gy6yBWmin70+l4XByHsoqK/HPaXoxTcu9bUUcEjILhJd82xMjjRAY9fouXMktwqDIAGx6bKjRe/suZSO8tSfC/D2NIg+0XA8fabwHvaKyClPf2oO+Hfzx5wldEOLX+P6stJvFWLcvBZ8dvGIUGUF6f3KPEBH+3q9Da84DYONz1tS1bWPzeHoZEWCuZQTTzodiru2cIBnNU4rr+gT6taVPoywpSUbr6x/KLSoK4f95w+Q88fHxmD59OrKzs3V9KZ/YU089ZVT6mgU6C3STJ5PcHVigy40oj1cfAtobwJDhI5Fd5lwnYVvt/ccNoRjUyl2Eo5MnnEQ4ecdJmPty6DN+vZiFn85liJD09x8aIMq6advjnx7FtpNp4n/nX55s5NWe9/Fh/Hg2A2193XHgrxOMoD97/Rb8vVwR4uthdExjZ3lDN3sS2s99eUoc+sjwSLx4pxROZqoVlVXgiyNXsWZvstjzbtgokRwJ9dt7hPD2BFNAKvS+Ul/uFDKXh20CAsx1E8BT2aHMtcoIa4K5SnFdn0C/fM+9KDl7tgnWmneoR2wsIr/8wmTn+jzoGzZswPLly0160Lt3746UlBQxB21fnjlzpghdN0wSxyHuJingDg0hwAKdzw0lEaDw6P2JOdh88DL2J2Qgu1RjVF6robmp7BbtDe8Sos+eThnUA7zdlDRX3rErK4DcJKCqAnD1AFw8ARd3wNUTcHYHnCzf73489QY+P3RFiPCX7+4hogS07a2fE7Dix4viz11LxyAyyFv33hs/nMe7uxJFjfafl4wRpeC0jTKqU212CnGXozxcQzd7Og/+se2s8MjHPT0Gga30NpgDfFVVNXZdyBTh7/sSc4wOCfXzwB+GRWDGwA7w8+J96ubgKVcfpb7cyWUfjyMfAsy1fFja+0jMtb0zJJ99SnGtBg+6dg86JeqOiYkRoC5duhQZGRmy7EGnktvjxo0D5SujRnnFXnrpJd6DLt/p23JHYoHecrm11cooEObM9Vv4+tg1fHviusis3lBr5e4i1RAXtcSlhG3kFVddLfHqakmMXzsKXD8GXD8KpJ0AyosapoFEuotHjXgnAS/9Xgo3pNyqQn6FM8KDWyOESpXVCPukvAp8ezYXpdVuuGtAFGLat9Ed99uVQrwdfxUenl5YOqU3Ytq31R2XV+YEjasH/H18AIVrtDd2syeRfSmrQJSrM2z/3n5ePGyY3jfcrIzt5Nknob71xHWUVepL5Xm5OeN3/dvh4eGRIhEgN+URUOrLnfKW8wyWIsBcW4qYevsz1+rlzlLLleJaDXvQCSvyfJeWloqk3UlJSRg/fjw2bdokhDXtTadqXdpE4LNnz4arqyucnevPpVPbg/7CCy/g559/xs6dO5GXl4dp06aJxN6cJM7Ss9QB+7NAd0DSFVoyeWK/OX4NXx+/LvaT126hXtXoH9UGPdsHSjXFQ3xAe8fl8NoqtKT6hyUxfuu6JMKFIK8R5SU3m9UMqyejBwHal/Ds1/7bwNNPDwYMPf9mHHerpBz7jp7DkAl3wd/fdC3zc2m3MOWteBCs9/QNx4rf65PRmVpjZn4JNuxPwYYDV5BbqE/yQs8gxndrK8Lfh0QFqO8cM7VwO3pfqS93drRENqUGAebacU4F5pq5bioCahHodK5TiWxtHfTnn39eVwe9vkTgJOQbyuauFeglJSVwd3dHbm6ueACwZ88edO7cWfz+9ttvs0Bv6snlCMezQHcElpVbY15hGb47lSa85YdTjMtj0awdA71wd59wjI/2QfKpg+IppDmiTTmLrRi5MKeuGC/IaHygViFAeD/szAtBcoEzwryBO2JaAxUl4lVdXoJvjyTBrboU7X2d0CPYDagoBSqKUV1eimvZufDSlMPbuRLu1aVAlenycVasTNFDKsIHwWXwfCD2LsmT30Cjc4f2pheXV+KzeUMwNDrQYrtKyivFOUhedUp4Z9i6h/kKoX5HrzCjffkWT8IH1IsAf5F3nBODuWauHQcBx1mpUte1WgS6nExTpa1hw4ahoKCuk0rOebRjNYSx3NpOU81J4pTgr9Ex5SbRkgUo9aFgiQ3c13IESAxRMrKvj11H3MVMlFdWGw1C+8Tv7BWKu/uGo297f+G9VA3XpfnA9ePGgvzGlUZBKnHxxVlNNBKcO+P3d98thDl8pdrfU9+KF+H+lFn+x8WjjcaZ8mY8CMtRXYLx0l3djd6jEmdGNdmrKmvEfSlQXqwT+iiXBD8JeyHw632vpo/oa9iPHgiU1BwjPRzQj1HzN+2fb2rzCgT6zgL6zwEC9GXcDIfNvFUCyjQ/Z3ik0WyU+I4yxUcH6/faN2YO3UJ+TcgWQp2ONWxtfNzx0NCOeHBwR3XlMmgq/gofr5prW2EcHGF45toRWJbWyFwz101FwNEEOoXCv/jii6IMNpXYbo7GAr05ULbRHCzQbQS8yqalZG+/JeXgq2PXsON0OgpKjYWbh6sTJsaGiD3EIzoH1cmobZc3exKs6aeMxXh2AgDjBw6GVBXBHe7t+8G5XX8grK94Lf7pFr48dl3snT7/j8lGa1+6+QSorjeF9L/zYD8j1klM2n14PyW6q/H6S2Je+0CgIWFfguL8POSc+hnht45AU9vzHz0OGPAI0OV2wLnxEnhUem/0G7uRV1SGuSMi8dwUKYGLuS0hIx9r9l7Gl0evobRCv0/d3cUJ9/Rrh0dHRKBTG+O98OaOzf30CNjltc0EKYIAc60IrHY5KHNtl7QoYpRSXDuaQA8PD0doaKjYy96zp3E5W0WIA3Sl4Dp16mQ0hdzajj3oSjHYyLhyk2jJEpT6ULDEBu7bMALaZG+0r5ySvWXcMk72RvWoR3QOxrQ+YZjYPQSU8K2hZnOuK8uBzHP6/eLXjqI68yw0jXmInd2Atj2ECN9d0A6vnPDCpepwfP/n0egW4qtb6uq4RGw5clUkJXv93l5oraZM8wpcAFquxwzsDr+kbcCRtUBesvFMPqFAv4ekl1+7eq3YdDgVz2w5Kd57elJX/Gms8Q3IXNNzCkrx6YEr+Pi3FGTVSlg4pmuwCH8f0SnI/h+WmLvgZu5n82u7mdfryNMx147DPnPNXDcVAUcT6E3Fy5rj2YNuDWoqOYYFukqIakYzKdkbCXLa01t7Py+Z0budn9hXfkfvULTx8TDLsma92VdVAbmJIoFb9bUj0FBW9fSTkie4oaZxQoFvJ3yfE4qT1VG4bcLtGD1yjG7v9M/nMvDK9+cQEeiNpyd3NRLoZgHgQJ3qcE18JO0CDq8BLmwHqiv1aGicJG86edXJu25Qeo4eEO2+mIW1e5OxelZ/eLrps6ZSSDyVU3N3qT+Tan1wl1ZUYuuJNBH+TonpDBtVD3hkRIQ4rz1czR/TgWhtcKnNem0z4DZFgLm2KfzNOjlz3axw23Qypbhmga48rSzQlcfYZjOwQLcZ9HY1sTbZG3nLDyXXTfbWIcAL0/qGC295lJn7gQ0XqNQNgFJ/V+SmwCW9Zt/49WOovn4MGtpL3ki7XNUWxcG9ETtgjBSqHtILKQUazFl7CBGBXmIv9OguwXbFkVqMaZTrm9eAY+uBI+uA/OvGS/LvKO1T7zsbaNU49rM/PIDL2YVYOrEr7u4TZpH3m4T//qQcrNlzGT+fzxTZ47Ut0NsNM4d0xOwhHY1qxasFe1vYqdi1bYvF8JyNIsBcO84Jwlwz101FgAV6UxE0fTwLdNMYqbYHC3TVUtdkwylB2c/nMsW+8oaSvd3RK1QIc22yN2snberNvqyiSsrAXZCl2zN+6tAuhBedQwCMvaF1bPQJkxK3hfVFVWg/3Le1GD7+wZjaKxT3D2hv7ZL4uAYQMItr2tue8IPkVb/0s/G+fydXIOZOYOCjQMfhdeq270nIxqwPD4jZx3drgw/nDLSaCxL5a/dexubDV0UWeW1zc3YSwv/RkZEcLWECXbP4tpohPtCeEGCu7YkNZW1JuJqJowf2Y9J4FVZeURaaFje6Utc1C3TlTxUW6MpjbLMZWKDbDHqbTKxN9kbh65TsLd/CZG/WGm3ODYAeGBiFF5fcxPovv8atxAOIrU7E2FZXgVtXGzfBM0CI8a3ZIUhw6YzWnQbj4clDrTWbj7MCAXO4Nho29zJw5CPg2AagKNt4xqAuUvh77wcAz9bivZvF5aB9/+v2JePLhcPRNUSf6M3axHs3isrw2cFUMWb6LeOtEMM7BYp96mO6tIETJV7gZoSAxXwzfqpFgLlWLXUmDafPTtrSRt8Ltp9OF9uAnDXVmDWoHZbe3h0+Hq4mx+AO6kRAqeuaBbry5wMLdOUxttkMthLoyeS5ik9ARc4V3DmiH/pEh/LeT4XOArrxnk27JfaUNzXZm7Umam8AQ4aPREBrf6NM5x/tvYyP4s4hMP88Nkxxg2fmCclLnnOp0elKnbyQ6NoJeX7dMWzURGjIS05h0hoWUdbyJMdxVt/sqUzcua3A4bVAyh5jU1w8gB73SmI9vL/gOL+kvM6Xxv/+dFF8yXx6YleRtM/SRuXtqNwbhb+fuHrT6PCoYG88MjwS9/ZrZ7Qf3tI5Wlp/q/luaUA4wHqY65ZFMn03OHXtphDl9ErKLqx3gUGt3PDMpG64r387fkjZsk4BsRqlrmsW6MqfLCzQlcfYZjPYSqB/efQqFm86oVs3OaboCzUlayKPmPZnx0BvUb6Km+UIXM0rwjfHG0721qudH6ZZmOzNciukIz7ffwmv7TiPvFINNs8fgAEeabpQ9dyEA/DNvwQXjb4UVu15yjVu0IT0hEt7Km/WTwpZD+xslFTMWtv4OHkRkOVmn3VBEurHPwVKjYUy5QsQQr3n7wB3fX10ytA++o1dKCqrRPsAT+xeOtbqzw764nokJU8klPvhTDqqDPap+3u54sFBHfDQ0AiE+JmXJFFehO1rNFn4tq8lsTUNIMBcq//UoCg6+mwjQU6fbdduFNdZVIC3G0ZE+WPvxQzklOq/f/UM98NLd8Wif8cA9QPBK9AhoNR1rRaBTuufP38+tm/fDl9fXyxbtgwLFy4U+ND/d+/eLcqZrVmzBnPmzGn0zElOTkZkZCSKi4vh4aH89wMW6C34QraVQP/PDxfwzq7GPaQEO9Us7ty2lagjrRPvIT4I8fWwKDFUC6bQaGkUqvvdqTThLW8w2VufMNzdNxzRViR7awxHSjT3xdGrwvNIyeTGx7QFCnOA7Is4c2w/Dh3ej95OSejlcgXOVWUND6VxBtrEAuFUZ1zaOy7+dnFzFBpVvU5Zb/ZlRcCZL6W96teOGOPi5gP0ul8S6yE9kJhVgGe3nMThlDy8fl8v2fILUFUDyiRPZd8KDLaEuDhpQDkaHh0RhZ7t/FTNWVOMl5XvphjCxyqOAHOtOMSKTECRQfsTc7DjTDp2nslAdoFxyVSalL5TTe4RIl4DOrZGQf4t/LQrDlc8ovHB/qviwae2UX6Ov9zeDaF+norYy4M2LwJKXddqEeizZs1CUVER1q1bJ4T4hAkTsGXLFowdOxYrV65Et27dsGTJEixatIgFevOemo49m60EOnmoLl7NxFe/HIBnSDSu3KzAhYxbSMgoQGlFw55ULVu+Hi6Sp13nbfcVAp5KLzlao73bv5yXkr3tvpCJ8koDdx8AehpOQoJKSPXr4N/kBxv0BD4hMx8VldXoEe4HUMKvvGTkpZ7Be1u2I1qThqF+uehQdRUozjVNB3nCSYSLRG79gJCegJuX6eO4h7IIaNObG24ZyDwvbT0oK5D2hRu2+BVA6kGUVTtje6v7MXq0zMmFrh+Xaqqf3AyU1wrFbDdICPXq2LsRn1yI4Z2CjLzn+y5li9D3GYM6SMkGrWgUUv/5oVR8tC8ZV/OMvU6DIgPEPvUJMW2t9tpbYZJdHKLUlzu7WBwbYYQAc62eE4K+F/x6MUuI8p/OZuBWSUUd4zsGeglBfnuPUPQK9zMKXzfkutTJQ0TAfXn0mm4MT1dnLBwTjXmjonh7onpOi3otVeq6VoNALywsREBAAI4dO4bY2FiBD4nxzMxMrF+/XofXkCFDsGDBAosF+pgxY/DAAw+IY6nt2LFD/E6edmoRERF44okn8OmnnyIhIQEjR47Ehg0b0Lq1lHPHVGMPuimEVPy+rQQ6QVbfhwKJv5ScQlzMyMf59HzdT9qzbhhm2hDk9BS4S4gPuoX4CK87/ezUplWLu4EQTgeScoQobyzZ27S+YRjZOdhoz7fVp2vxDVRnJ+AfH32DoNIUDPLJwQDvbCA3CagqN2vYKp9wOLXrrxfjYX0AD8f1PpoFmrWdyPt844okpltHAt6B+pGoNvzpL4CSW8CIPwMBUfr39q8E4l6Tjlt0AvBrp39v22Lg8IfS389n6urEi78/nyX2kFe5+2Jr7DvGAp32l7u4W7sS4+PI5lObgENrgMwzxu9RIrk+M4H+DwNBncR7VVXVmPr2HpH0KCrIG98vGtmkz4OKyir8eDYDH+y5LEJFDRt94Z03Mkrs1XSUeupKfbmT52ThUeREgLmWE035x6IIH3pY/8PpdOy6kGnk9dbORt+JJnUPwe09Q4RTQ9NAzpb6uD56JQ9/33oWJ1Jv6Ixv19oTy6bECKHf0Fjyr5RHlBMBpa5rNQh0EuaDBw9GWZk+qpOE+YoVK4Ro1zYlBXpgYCC+/vprIconTpwoPPgvv/yyWRSzQDcLJnV2sjeB3hCK9DT4UmaBEOwX0vNxoeZn2k3jjMv1HS/2twd6C8FuKN6p3rWLs3XeNFuwrU32RvvKqV55xi3jMDVaJ3kOp/cNx8TuIWjl7mK5mVWVwM1U/Lp/H64lnEDr4mRMblsgwtRRmGnWeNXQQOPfAaAM3EGdxSvfIwx7zmdh6IQ74e/vb9Y4DteJIhHK8iEKc3sZ7PEjcUt7sUkwt+0BRI/VQ5OXDHwxVxLaw54A+s3Wv5e4C1g/Tfr73g+Bnvfp3zu5CfhynvT3H7YCkaP07+17B9i5TPp74W9Amxj9ez/+Ddj7X+nvp5OMRf/WPwuBXunui20d/4bRY8ZIXFdVAe8Nlc6FoY8DHYbIQy3hlHpQCn8/8xVQWStsk9Y04BFcChiFe1YfFh6kGYPa49V7eskzP4DjqTfEPnVKLEcPzbSNkio9PDwSs4Z0hJ9ny47qUerLnWwk8UCyIcBcywalbAPR1rIfz2UIUR5/KRtUkrR2693eH5O7S+HrkWYmz2yIa3rgSY6Bf+84D8r7oW1DowLx4p2xiAn1lW1tPFDzIKDUdV2fePzurTeQe91ENR4Zlh0Q1g5Tn3za5Ejx8fGYPn06srP1FWS2bt2Kp556SoS7a5uSAv2ll17SeebpwcAvv/yCbdu2mbSdOrBANwsmdXZSi0BvCF0quaQT7QbCnf5vqlGoa6fgVpK33SBcPtTPvva3a5O9kSi/mFFQZ1mU7I3C1+/sHYo2PmYmpSgtQGnGBVy/dAI3Us+ip3smXHIvSeHLtYVOA0BWunjBKbgLNEKE14hxClcPjAZcjfemKXUDMMWxzd4nUVqUA7QKNjbhxxeBnESAHmBMftX4vVfaSQI9dhpw/zr9e+XFwL9CpL8HzQemvKF/jzzk/+0p/T12GTD6Gf17V48AH4yT/r7jv8CAh/XvXdgOfFYToj5jI9D1dv17F3cCR9cB7r7AmL8ArTvq38s8B+SlAO4+QLsB9XrF63B96Sdgw73SGEMW1l23HCQV5UoPMUis5yYaj+jdBiW9ZmFN8SjcM3aoUWK3zFslyMwvlbZqNKFdv1EsSrR9cuCK0T51bzdnPDi4g9in3lITyjnctd2E80TthzLX9sEgfW5RgjcKX/8tKdfo4SBZSA/rB0YECEFO3vIwf8v3ipvimrz17+66hA/jL6OsUnooQPPS592S27qitTfnjLGPs8W0Faa4Nj1C/T3qE4/r/7IImZdr3aOtnaCR49pERmP2v980OXJ9HnQKMV++fLlJD3r37t2RkpIi5li9ejVmzpwpQtcNk8SZE+K+atUqTJ48WYxDv2/cuFEkpjOnsUA3ByWV9lG7QK8PdvI005du4Wk3EO20b7qk3PT+dh/a367NJm+QUd7fq/luOJTs7ftT6SLZ28Hkuvu4OwR4iURsjSZ7Iw/jrWvC+12VlYCqrItwyU0AshOA/Otmn7HlrcLg2oYEuPZFIrwz4BtmdkkzpW4AZi+iOTtue0ry6Pq1BxbEG8+8ehSQdkLaZ7+gVimx5TESL9Hjgdlf6o8jHv8RBFRVAL1nANNX6d8rvgGsmSQJ5r6zgP4GGUYLs4ETn0nvdRgGBHfRH0deeRL+bq0AZysiLRrBsw7XqYeAXf8ELv8KPHHEOJyeHjBQUkC/cHkYIqxoHgrDP/+dhJmuaYDOE6Wkcp1vA5yc8dyXp/DZwSugpEf/mNYDvk2s9UsPBj85kII1e5KNEjG5OmtExYTHRkehUxt93XZ5Fm3bURzq2rYt1Dafnbm2HQWUrFKUQzuTDgo116YI0VpEnzHDooOEKL8tti2CWjVtS5G5XNOWxH9+d05s+9E2ihp6akJnzBzSUZ7tdbaD3SFmNpdrS8FQgwdduwf9+PHjiImRogWXLl2KjIwMWfag33HHHRg3bhwWL14sxv7oo49AHnPDPegs0C09sxykf0sU6A1RRyGoV3KLdMJd2ud+C8k5RXWeQNc3Rltf9zrZ5Du38ZGtJrI22RuJcto/VjvZW2svV9zZO6xusjcSWuT5JuEtXhelF3lqayfTagCcCid3uARL4egkxCtad4ImuDOc6W+DUlbWXhZK3QCstafJx1FI+dWDAIlP8lo7OeuH/HI+cPJzQOMEPJsCeBiE/H08DUg7LmWlf/h7YzN2vQKUFwHB3SSxbdiuHQXcvAGvIOOw8iYvRP4BGuT65lXj/ew09Vd/lPaTx9wFTFtZJ/KiSdblpwPH1gNH1oltG0bNtx3ye8zEbbs7Ir3KX0TRfPfkSNkSvNG1TAmV/vdrovh8MWz05XnB6Gj072heEpgmYdAMB7e4a7sZMFPrFMx18zJ3KTNfiPLtp9Nx5vqtOpN7uDphdJdgIcrHdWsr63YaS7mOT8jCy1vPimSc2ta5TSv87c7uGNE5qHmB49ksQsBSrs0dXA170Gkt5PkuLS3F2rVrkZSUhPHjx2PTpk1CWNPe9KqqKpFTZ+7cuZg9ezZcXV3h7Gzwnc8AkNoe9BdeeAE///wzdu7ciby8PEybNg05OTks0M09iRy5nyMJ9IZ4pi/TVKJJl5iuxvN+3Yz97ZRfpWOAl3E2+ZBWYs+7OfvbaT/Xb5dzhKd8+6l05BuUcSJ76QZ8W2wIpvcJxcjQKrjmJdYI8BohnpOA6hup0MA4c3uD53SrtrpwdBLhP2f5IaxTL3TuEgMPN+X2yip1A2i2a5fcFYbJdHa/Bux+RZr+sXgg1GBf8/HPgOOfAB2GAkP+aLyfvNkMtt1EZnNdkAX8XyxQWQaEDwDm/ayM0ZRXgcLsKfz94g+AwbVSpXHBAbfB8Bw2H31G3gU4STkp6GEefS54W5PHwWAVNA6Foq6KS8TJq8b13AdFBGDBmCiM7dpG1cmVzOZbGXZ51GZEgLlWFmyK/iMhLonyNCRm1apWAYjcMuNj2og95aO7BsPLTd4IKO0KreGayrl98lsKVvx40ShrPD2UfH5qDDoGeisLoLmj0/289BZAUWbilSW9irKB0gIpz0vkaLMjBM2d1l77WcO1OWtRi0Cn9c+bN09XB/3555/X1UGnEPW4uDij5ZKQb6geumL5ikQAACAASURBVFagl5SUwN3dHbm5ueIBwJ49e9C5c2fx+9tvv80C3ZwTyNH72EygX/kNpYfX42paFsI7RsHD2xdwdpP2tDrTy7Xmd4P/UR1sek/3k/rR/7R9an46ucjywXqrpBwJ2mzy6VJWeUpOd6PIjP3tzk6IblOzv70mmzztcw/zk/aIn0vLx9fHr+Hb49eRfkuf6M4N5YhwysDU0AKMD76Jri5pNaI8QbqhmNOcXKV94OT9DuyMd085Ic8rAt169MN9w7ubM4LsfZS6AchuqOGAlIAt7nXgyn5g/ItA9+n6dymMet2d0t9T/gMMqkm4pqhB6hjcbK4pKd6F74EDq6X98YZJ7MoKAcom3+8hwKetfAunkHryqB/9uG7Sw4BoyY4+M7H5bCFe23EBiyZ0xgMD2zc5TJO+eFMd4vfiEhGfoE9GQwuj7TQU+k7RMa4qSlrZlC/y8hHKIzUnAmZf281plMrnoof0FLKuDV+vXcKRlkfRcxNjpSRvwzoFwt2lfu+dnFA0hevcwjKs+PECPj1wRVd9x83ZCY+OjMSfxnayLoGtqcVRJKFWaNcW3vQ3iW/xfs1PejDcWGs/RMrBEjVGlu+Tpsy35ftN4boxu9Ui0OXE/uTJkxg2bBgKCurmi5JzHu1YvAddCVTtZEybCXTyZtFeXUWaRi/0a4t6nfA3FPoNCH/xsMC15qGA9DCg2tkNt8qdcK2gStRuT7lRiaQb5UjMLUdhhRPK4IJSuKKs2lX8Xka/wwUVoBuqBj7uLvD3dkVBbgaiNdcR7ZQmfkZpriPWNQMhVelwgul98gI2r0DJGx7YCV9c8cJ3aT7I8eiIL/86A84uynnDraFMqRuANbbUOYaEYsYpKds4lYDTtpvXJA8vtUGPAVNe179HJcxObpS85EFddZ5XWexR+SBWcV07QuHQh8B3i6WHbw98BnSeIC8qleXSHnX6HLps/HS82tkdP1QPwfvFY3DWJQZxz4w1P/miGVaevnYTq39NwncnrxuVjgz39xS11B8Y1F4xr5gZ5lncxSq+LZ6FD7AHBJhreVggT/OBpFzsOJOGH85kGGVD185AW+rISz6pRwgo2saciDx5rJNGIa537Y5DaEx/DO4SblWUD5W2/PvWMyKRnba18XHHs5O7iWozTpRVrqFGn9FaMS3EtYGnuz4BbuZ2PosxcgChrtR17WgCnULhX3zxRezduxe7du2y+FSz5gAW6NagppJjbCbQyWu23SDjtErwstbMqmqNTrBTiK2vpti8oSiBVkCk8IQfLAjE5hQvJFaF4b8L70OH9u11Y9CN0EmjETXfnRu76Zk3q+y9lLoBNNlQEobLuwEF6UCnCcCsL4yHfLM34OoF9Pq9VC+cm0kEZOH647uBpN1SErvFZwGPpmVZb9To7EvAkbXStoRi47rmWV6dEDxmgcS/YS4BkyiY7nAlpwjvxydh0+FUlBqURvL3csVDQyMwZ1gEAlSQCVkWvk3DxT3sAAHm2noSaMvMnoRskeTtp3MZ9UbiUfLX2ynzeo8Q9Gnn37iAtd4UoyPzS8qx91I29iXmYMagDroyacT1B9/+infOOoscHS/f3QODIg3Kf5o5P0UPUXTAK9tOo/BmNgI0txCkuYX+gRV4oLsn2rsX1e/5LtHXWjdzqoa7UVSlyN8SDHgb/tT+HlzzfhBA0VtUSvTUFqPtUGjBQl2p69rRBHp4eDhCQ0PFXvaePWuq6zT55G18ABboCgNsy+FtJtCrq3EjNxt74n7ByKGD4OftIZX3qiir9bNU2qNKWafpp+Hv4n/1HVPTz5zxao9r7l5uuUlz9xNZtlM0YdiY5InE6lDMues2DBswUArpB7DvUjY+P5yK3u38cVefsCZnaZV7CY2Np9QNwOw1XI4HLu4AKMT59+uND6PEbUm7pLJizyYbJ3wrLwFczSxdZ7YxLbujLFyT9+TsN5LXZMgCY8C2PCrVZu//sLwJ8yhEkuYkr3rqAeM5Xb1FCP6VqAfw0mFXPD2pq2z1frMLSkWJto/3p8CwPCTln/j9gPaYOzIK7QO87PakkYVvu10dG2aIAHNt2flQWFohEr6SQN11PhOFZZV1BujSthUm9wgV3vKYUB+rPNWWWEWCWWOQT4XC6+9ZuU8M8czkrlg4ppP4XezL/TAeh7KkvBw/LR5lXIHCaB93zR7u+vZ013i+q4tyoKk2MzrQ5II0Um4XIbhJXAfqfxcC3EB40+8e/paHqWddAH59wyGEulLXtaMJdJOnrQIdWKArAKq9DGkzgV5zA8hbPwch3UfCs/c0ad+0gq2iskp4qii8jMopGYZXUa3xrFslqKosR/9wb4MHAaU4mpSBrJu34KGpwOgov5qHBeXi4cCuM1eRX1iAAHdgRKRvzXvSQ4OfT6eisrwEbb2d0DvUU/fw4VZRKTZd0iCxOgxDBw7BXRPGSDcXjUYkqxu/PA5Brdzw1ykxuKdfOwURab6hlboB1FkBfWkgEe4TqnuwIfp8twQ49IHUfckFwKemrjj9TU/K8y5Lpcg6DDEW6M0HUYuZSVGu004Cq0dKWPW8H7j3fWVwSz8tedVPfC7Vpjdox6ui8EnlBMxb8DS6tG8j2/z0ZX7joVR8GJ8EwwSVFBFzR69QPDYqGrFhBhUBZJu5aQMpynfTTOOjZUaAuTYN6M2icvx4LkOI8l8TslBmEB2jPbpXOz9djfLo4FamB21iD9rn/p+dF4SXvEe4L/45Te/do+9Dff6+Uzw8uKdfOFbcEyuqXhSknsZv+35FabUGTiW5uD3S1cjTXVGQBZdq0/l4zDW91LkVXH3bwKlVjejWimzh+a4luD0DZC8P2qCdDiDUlbquWaCbe/Zb348FuvXY2f2RthTo6YmnELJ+hMAop9uDCHzgPR1eJJg/2pssxPRdfcKNShIdTs7F279cEu+RJ6tvB325oi+OXMXynRdQVlmNT+cNFmXRtO31Heexcnei+PPI8xMQaFAndOnmE9hy5KoID098ZYoRb39YcxBxF7MQ6ueB/c+NN3rv9jfjQeHlvdv54ZvHpbVo24B//ojsgjJMiGmDD/4wUPd/umH3+NsPKKusEuFs783S73umG+m1G8Vo19pT8SfpzXlyKnUDMFrDxZ3Atj9Ltd/nfA9EDNe/TSL8i0eBViGSB739oOZcvkPNpSjX578Htj4pfVF89EdjHik00cVD3gcslNH31GbJq55+0phHinrpM0Py5LfpJhvH9LlGySMp87thySKaYFSXYCwYHYWhUYF28/mgKN+yocoDyYEAc10/ipn5Jdh5JkNUbKBkkBVVxlVVyGE9sGOACF2f1L0t2rVWLiKGvl/Qg/6YUOOHebetiBOfJx0DPBH3p14AJUEVr8tITzmP1qXX4Z6fClA5TDkiCV08Gw0pv1jgjpUHb+K3DCfkwlfk66EQf8r2TlnfDb38cpy79Y5B3xkSf5bWfP/6xnPJtGChrtR1zQJdsTNXNzALdOUxttkMthToqfs2I+iHhfDUlGFbtzdwxwPzdTgkHNmF3G/+grjKXugycR6mjdYLqh/PZmDex4dF3w8eGoAJsfosz58cSMGyr06L9759fDh6tfPXjfl/P17Emz8niL9/e248QmoyqtPfz315Cp8dvCLeI4FuuI977rrDYs8YebUPP3+bEVd3v7MHJ67eFDfD7YtqPHs1PUi85xaWYninIKy4v4/Rce/uuoTgVu7o17G12Dfe0ptsNwAKfb56WMqsHtob6GTwwIRqhb8/VoJy3PPAqKf1sFLd8qIcoHWE5aFuLZ0cmdcnG9cN2UXbUqhsWtcpxlz+9BJw+gtg4Dxg8GNSoki5GkVm0Pl1eA0qT22Bc6W+8gJNUdl+GOJ878DQqQ/D00ueL9/0sO6X85lCqB9OMd4bTw8E/zgmWpRgtHXOCcX5lotDHqfJCDDXegjJiUAJ3nacThPXJ31EGDYXJw2GRgcKTzllYA/2kfHzqAEmV+y8gP/FJ8G1ugyHH+8qCe4aIX7u7Ek430xBB00mPKrNzIFjOA/t467Zw13g4o/96U5IKfFC/9gu6Nutky7EvNC1NQ5nOWN4TAeTie3oM44cI6//cF44M7RtRKcgvHhnrJGDxeyTt3bC0cRfAEo6eiNFEuGU00fb6J6x5/+kv2pH1u1/FyjNB0Y8ZXwvyboI/Pp6iwp9V+q6ZoFu9llrdUcW6FZDZ/8H2lKgJ13LxO1v78VApwsYOGIiFk3ppwMs69u/Ifjof8Xf3w35FFMnT9W9ty8hE4s3n4Kri0aEao3uEqx7j/Z7rdlzGVTS47kpMUbil7zgcRey4ObihD+Ojoaflz7T+cHLuUjKKhBljqb1DTf60kv10fNLKkRN8u5hxsmqaM8oPR2n+TxclS99Yv9nVP0WWn0DoAzrzgZ1XimJ12t0g60W5bAwbaV+QupLpc/C+gKxd0nh6tyaHQGruW6KpZRVnzLu0/nh3xF48pi8nnRD22gOCn0nr3r2BSOrK6gGg28HuAVHS18EA6KkV+tI6eGQlfkMKGpoVVySeFBo2KKCvDF/VBSm9wtvltJL9VFkE76bcq7wsVYj4Ohck2dalEM7nY5T127WwdHdxUlEudB+8gkxbY2+Y1gNeq0DSdSeS7uJ4+cSMDm8BIHlaToRnpZ8DtV5yQhBHpw0tZ4YNGqABvBrJ31G0edn6wgUugfjaGImeg8dD9/QqDr7uGkv+5GUPFD5WNoyqG2bDqXimS9OgrK1r57d3yjCsSETqKTtO79cwtq9l1FeKdlNDx5nD+mIP0/oDH8vKQ+PaCSaaS+7YeJQemhPVYFoe9vd7wIxd+j702f1VzXOn9lfAdHj9O9pqwnRWH/YBoT2kt6jhxrvDgEqiqWtbw9/X/fBfoNCfXBNebaxqnEGKHVds0CX66pveBwW6MpjbLMZbCnQs3Jy8cn2eAwa0B+dwoLQxlefjKvqp5ehOfS+KHNWvSQBTs4G4vebx4H0U1LW7bHLuMSVzc4e8ye2+Aaw6xWAwpndfYBHthtPtHIYkHkGaNMdWCglt+FmPwhYzLUcppfcBPb8FzjyETByCTDscf2oVZVSEsCocfJ+VpCnJmUvqg+tQcWZb+CKChMr0QC+4TXCvZZ4JzFP57qJlpCRL0q0fX3smlEYLXnnHhkeiZlDOhh9WTY1nhzv24RvOQznMSxGwFG4JvGZV1SO6zeKxYtKI24/nV5nywkB6O3mjHExbYUoH9M1GN7uBg+ULUbY4ABKWpmXYhCKLoWkF6RfgtPNK/DSlFo2upsPEBAhiXCjV6QkzmtFHFnL9f2r9uNgci7oYcXBZRPg56kX77UT1NVeADlJ3th6FIkJZ1EJJyRWh4sa8IsndsWMLhq4vD9Kegg79nlgtEGEnGFukkmvAkMX6oe+8hvwye+kBw+3vSR9b9Q2Evt0f/DUR1qKt5L3Alsekaq7TP8f0Pv3DWPdAoS6tVybOgFZoJtCqOnvs0BvOoZ2O4ItBbrJDwXyiFJYkmHyOPpSvCIGyE8DQnoCC/YYY0sZQymhCDe7QqBeronL7ATg6kHJG26QWRafzwLObQWcXIHnUgFXT/16RPktH+lpN9Wp52ZXCJi8rpW0lr7U0nnlZhBmTvXONz4oebKnvadIZEVhbhpOfv8/BBRcRFfXLCD3MlCYadlKvdvUeNzrEe+Usdigpd0sxofxl8W2HMPM0D7uLnhwSAc8OjzS6IGnZYZY1tumfFtmKvduIgItheuisgpcv1ECuo4kEV4ifqbdlH5ev1mMkvKGM45TKcTbSJT3CBFb2KyKnquqAgoy6ghwEuHkBdeQOLSkaZz0XvD6RLhna4s8utZynZpbhC+PXgNhTFGMhm3WBwfQ2tsND3etQL9WtG2nGugySd+FMPlXiEjA+4vLSDxS8Efdez3beuDbm/dCQ8f0nQ3c/Y7+uOIbwNopgH8HKS9I7N3692qHvJuLKT30Pf6ZtF3K8LtJQaZUks1Jym6va0KovwGc3iJ5+LWtvf171K3l2hSUahHotP758+dj+/bt8PX1xbJly7BwofSQh/6/e/du0FrWrFmDOXPmNLrsMWPGIC4uDr/99hsGDx6s6/unP/0JK1euFCXYTI1hClfD91mgW4KWyvratUCvD0tK2vT9UuDSz0CfB4Hb/q7vRUmiXqt5OjzsCaDfQypjo+WaW+8NYNerQNy/pUU/fgQIksq7iLZ/JXBwNdBhKHDby0Ar+bJlt1yU7WNlSt3srV7duruAy3GAxhlYdALwb2/1UBYdWJqPs2dO4O0tO9FRk4HJYUXo450H5CZJiQwtaVQmyDBkviZs/pZne3x8qghr96Ugp1C/h5O23FBGZgp/j1I4S7Td8W0JrtzXIgTUwDVVa8nIL0XajWKRcFUnumtEOInvG0WWZx+nkO1J3UOEKB8cGWByf7UAlr6T1OMFFyHU5HyoMM5lYZIMSkwZEIGUqjZwDYpEcIdu4qfwiPu1l/WBdZO5vnoESDsGkNAduQSXswsx9j+7xRLj/V5C+9KLQJtYYOF+42W/3R/IuYSq8IFY0+1/ePOnBOSXStFJy13fQ0BAIHoOm4qgwfebhEv2DuQ0+t8Y6QHwHf8HtO1edwoVCvUmc90A0GoR6LNmzUJRURHWrVsnhPiECROwZcsWjB07Vojqbt26YcmSJVi0aJFJcU0CPS0tDePHjxfHio+BsjJ06NAB3t7eeOGFF0yOYcl5ywLdErRU1ld1Al2LLz0VJW+ZoaeMMnJ++jupx5T/AIPm6dkoypUyPwd1segpssrotD9zaU9Y/HJUpJ3GQc9xiL3zT/D3rwknu/gD8GnNTfaut40fqNCT9NpPqO1vdWxRPQgodbO3Gmz6gkzbZeiLIp1nhm3vW9KXLNqXaOglsXoy4wMpkdSnB65g28k0rJzZDz3Ca3JYlBfjyIlj+OrneNwWUoSBvjfhVZAiifcbqUB13XrJDZrk6o2q1hFI1YRgb44vThYHIqW6LVKq2iJdE4CJsWFYMCYafdrXCuOUaY12x7dM6+Jh6iJga65rh57rPd41HvAbxUincqmWbL+uWaaTBmjj44Ewfw+E+nsi3N8TYX7S7+1be6FbiI9RaVZxGN2nKJpPlxFdmxm95qelUTSUiI2EdusIxGe3wr5cbzgHRuGp302Ec2AEQF7wZmpmcZ2yD0jYKe39ps9WN2+9dV8tAE58BtCalmXgVFoh/rHtrAh/P9x5HYJSfwDcWgHPXUVqXjH2JWZjSs9Q+JxYK+39DuoKdJ2M7IJSUZmHSlBqE/FRHqHHRkWJRJlebjJtKTAHV0oc98NfpZ59Z0n73RtqKhLqZnFtDj61+qhBoBcWFiIgIADHjh1DbGysWAGJ8czMTKxfv163oiFDhmDBggUmxTUJ9HHjxuGdd95Bamoq3N3dsXnzZmzYsAEZGRm6MS5fvoy5c+fi+PHjomLBpEmT8O6774rvx2+88Qbi4+Px7bff6uYnYU/H0DiGjQW6FSemWg5RrUCvD2CqXUxJPyjD80NfS+Gi2qZNBuLbDnjwcyCkh1oosn87K8qAwx8CWeeB0D7AgIf1NtON+79SzdWENlMR/OBKvUCnsLR9b0lecip7Zpj0xf5XzRY2gIBSN3vZAb95TTo3SQz3fhCYri/zKPdcJCyoGZYOenbLSXx+OFX8/5clo/WebqpUQNcNhcmTYM+r+Sl+TwYq9Z5yU3aWVrsitToYydVtUeYbgc7deqJTt17Q0GcjhYPKsEVENXybAovfN4mA0lwXl1WK8HIRbn6jpMYDXhOCXvP/xkLPG1sA7YUOqxHd9DPU30MS4fS7nwfa+nqIJLF1GlWNoK1Y9Ylw8oJbcD2KsamGd00I+r48H3yT4oYr1W3w6iN3IiKysy4pKnn/fTxcmj2nhHb9Wq7HdfGBz5lPpM+kqcv1idSoI+X9+Olv0iELDxiXm6Q8MnGvSe/9+bQuciklpxDtbhyGc3GOtC88vB/e2HkB7+5KhKerM755fHi92dspD8Dft57BoWR9RYsQXw88N6Ub7uod1jxl2W5dB7Y/CyTvAR4/DHgHmrxmoAKhrtR1rQaBTsKcQtHJy61tJMxXrFghRLu2WSLQH3jgAXz33Xd46KGH8Lvf/Q5Tp07Fo48+itdff10n0JOSkpCYmIhRo0bh1q1buPfee9G7d2+8/fbbSE9PR1RUFK5cuYKgoCDQ94fo6GisWrUKEydONDrnWKCbvgRV26NFCXQtC/XtOdo4Ezi/TdrT/Gwy4G5Q2uxyvPTkl8Qle20bPpcpcQrVgqYn4obRCYT3q+2Bsnyp9NWMz/Rj1LxX5e6LRM8+xgJdtVcNG94YAkrd7GVH/finwNe0z6xaKr9Dmf+bsf3nB/IKXRHlHrc9YVyiccWPF+Hr4YI7eoUZlYMUCY3oSyKJdSPxXiPiy4vMXkG1xhkaCvc3zDSv+938jPOq4dtsZLhjQwg0hWsKPc/ML63Z4633eF8z2AtOidmsaeRRJbFNQttYhJMn3AOhfp7mJW+jEGZ60Hz9GHD9qFRaMeMMUGWBXfQdgx5+1YjwcyUBePNYOa5UtcFfZkzGqF7RuiX+ejFLiM5h0UF4dEQkIoIMPNDWAGHtMVQFg7zhV/YBXacC7fpDy/X4DhVo9c0j0sj3rQV63KOf5fSXwJaHAWd3YNYWIHKU/j2RhyNbwoK2qDUQoUTiY9zyOBECTxEL8c+OM6qiU1haoeOO+lI00qvfn8P1m/rtAf07tsbf7ow1KqtrLRRmHZefDviEGHc99gkQNQbwC69/CDsW6k25rhvDqz7xmLPxPCqyrCjzZxYx+k4uwZ4IfKCbyaPIUz19+nRkZ2fr+m7duhVPPfWUCHfXNksFOgnrjz76CB988AH69OkjxDaJ8Ya88F9//bUIfz916pSYkkT97bffjscff1x402fMmCHGcKqlUVigm6RYvR1apECvjw4Slxe3A1QP+663jHusHg2kHees4IQKJUDJOA3cvFp3D/8HE4Crh6QvHrSX17C9Px64dhjoOAJ4+Dvj98qLcaOwVCTOGD16tN6Drt7Lhi1vBIG07DTExcdh8tjJ9s91TqIUhjn6L8bl/A78T9q3PngBEDFCkfB3grCyqhqZ+SUgAaFt9IW0/z9/FEmqBkUGYNNjQ8073+hhGF2/tcR7UXqC+J9XVYF542h7iYzzVCaO9rgaJK6rlXFeqS93lhnLvZsDgYa4JuFE+7qN9nwLj3eJ2AtOHnHaF07nu6WNdF1bHwo1ryW+/WrC0P09EODtZrkHlcLT6VrRCnES5fQA2pyHXJQkzCARW4V/R5wvDsDeXB90jIzG5J7tdMs03Hs9b2Qklk2VwmipmcpqbilWZvevXb408xywsqYs6aingXHP6wT62B6h8P10qhR6P24Z0ONe/TSUBZ3yArVq2yTnBpWr/e5kGiiA4fcDO+jGp/Nl5Gu/oGOgN+YMjxA5AKhRpMWquETxKq2QErLRefK7/u2wdFJXsVWhWRs9yHl/nOTombrCjKzv9pVMTqnP8PrEY8bbx1B+zcJ7kRVkuoa3Qtsn+po8sj4POoWRL1++3KQHvXv37khJSRFzrF69GjNnzgSFuJMH/ZFHHkH79u1B+9vJO0+ecUORTyH0Tz75pBDf+fn5qKqqgo+Pj9i/To3C4inU/eDBg5g3b54Iw3/ttZqIFINVsUA3SbF6OziMQG+IooIs4D81ycl6zwCmr9L3pBs4ZeWkL+gUgi1DOKhdnCn0RZ6eAGedk8LLDTOkUwm7YzX7bv563XhP2Td/Ao5tAChbLL1neBzt86VM0w2UilLqBmAXeDqIEWWVZcgqzkJWURYyizLF7+In/V0s/aRXfnm+QKRfUD/M7D4TYzuMhSt5ldTS6Lp/u58UWk7bLhafM74OFF7H0St5+MOHB0VipH9M6yFqAWvbjaIyUYOZElUZ1QY2w6YrV69iW9xeXDp/Eu2q0tHRKUMkr4t0ykAg6tZ0bnRI72Cd573YKxSHs73Qc8qj8G9tnG3eDLO4i0oQIBF18OJ1/HLwBPxCI5BbUi0SsAlRfqMExeUW5E0wWDNFipDXW3jAdSJcH3pOESb1hp5bghvd826mSh5xEuTCQ34CKDVx3pMID+sHhPYGAjvViPKOqHZrZfRAgARjr7//IGp4T+reFqtnD9BZRyL8pW/PoHu4H0Z0ChJrtUkjDL5/WnrwSBVw7ltj/F3njWigOBfoMllsA9Tds0eNhL+ff5MEuLXrpQiDh9YcFIc/Ma4TlkzsajQU5fh4dft5Ie61rZW7C54c3wlzhkWCIiuapW39M3BkrTTVQ98CUaNNT9uQR73dIKmOukJ5UeozTKnvZ2rwoGv3oNNe8JgYqerA0qVLxX5xa/egk0AnTzllbn/vvfeEyB4wYICRQKeQ94KCApFILjAwEORBp2MovJ1aaWkpwsLC8MsvvwjRv2fPHtADgdqNBbrpS021PRxeoFPI6LUjUlb4DoOlD0VtSzsBrK4J2Rr9LDC2JjmIWtgWQjxNEheG+7sPrAa2PyOtYt4usQdM1wyToMzfDYQZPIGkp+wUChfcxayazYYwKXUDUAsV9mxnRVUFcopzdIKbRLdWgBuK7xulN6xaRrBnMO7rch/u7Xwv2nq3tWqMZj2IwjK/nAck/gJQNYiJ/zSePj8D8FF2HSXllYi7mIWBEQHCO6htGw9ewV++/H/2rgM8iqprv+m0FEpCQhJ6D7333otUAUX9rAhYvk+xI7/YEZVPPxULWBAVaaKAgBRp0ksoIXQIpBHSSQik8j/vnczuzmaTLdlJdsOc59kn2Z2ZO/eeM+W+95zznpNwd3XBD490Qa8m1peUpMf+hz1RWLr/CjJuS+zIVZGF7h4XMLHeTfSsnQ/vO5n6HHgLGecLvHzh2noi0GK0tKhZURY0y/Tic4yTMYrjVNwNnIhJw4mYdJyMTRchyNYKAZIgWvOVALcINy/M+5YJ2Aio7C6800GbVQAAIABJREFUR2UgLkB5OJClD2E1eT7vOtK7sE47CZTz3WdU3pD334aIa8jKzsOqGT0UzUz6eh8OXk5BQ/+q2PZ8X+s9+vZSgihfeg7g+zpsrLJVenk53/EOkhYeDcPOz2+V8sQLiXQd4Z3NvPMvd1zEltMJ2PJcH+FJl+VQVAoOXErG+A4hYGm3N9dFIjL+hm57g1pVMWdUC/RvFqC+LbioS8cG0yFGzFfq3FyZNwcA6mrZ2hly0Gkser4JiFkCjbnhZGBfsWKFIHuj95vebUZ/ktTtwQcfhIeHB9zc3EzesbIHnWCbID8yMlKwwVMMPeiTJk0SrO6LFi0ShHSTJ0/G+fPndQCd+xPgE5jzfIcPHzZ5Pg2g2+vB6YDt3PUAvSSbGILVRzYB9QxCTZm3zvrKjQcC9XsDHmUcUmXYb74ASFTj7qX/lSVOlo6TPARjFgLtp+q3cTHip8I8MtaFZrk6WfiyYBh7QHMp5N9O41LrBeCAt5TDdKngTgFSbqdInm0T3m4ZhBOc32Eeto3i7uKOWlVqIaByAPyr+MPXzRdnY87iTN4Z5Buwkbu5uKF/aH9Mbj4ZXQO7qj9psnE8usOunwEq+ylzDWMOA98OkfLV+70K+Cs9OqU9pbnj6U2iV4nA58jrg+BdSR+ZQABF0qTKicekPHWWlWs+QtkkI2RIduXfHBkD3xd11L/95zISbtzGea+H4OGSj9/ye+OfVu/gyb6N0CzQG7gRDywozOWr1xMIaKEPoy+OcZ5s0+SjaHGPlJdpp+eIOf1o263XABeDTscTjKcXgvE0XLieaZYJndiOpccIvhX53wKAS+HoNW0JPbd2CKzQwhQ1GYgTjJtbVCJRmwDjHQr/ttfd55FxN7DtdAISMm7j6f5NFBwQL6w8jlVHYkQPw+cMFjW9ZQm/morKnm5oGmCC7d3aMZVm/7XPAkeXSJFuL18BKvnoW9v8OsDqKfV6AMPmKaPgjM7pSO/sjNu5imcdu/rMsnCsOx4Hsu/vf3UgalbzwvJD0fho81mkGJSc7NvUH3NGtUTjAAPeodLo15pjGf7/4z1A96eBsHElp0qRiJARmydXKuuol4FHXS1bOwtA5/gZRi7XQX/99dd1ddDluuaGZi+plrkhQDe+VAwB+qlTpwSJ3NmzZ9G4cWMB/BnSLnvQeeyhQ4fQpUsXfPrppyIc3pRoAN2aG9LJ9tUAegkGI/BlPjY9ad1mKj1Cf84CDi2WDv73CaC6Pgy1zC4BPvwJwhPPAh0fUnr6DCfVxl5AhvWTPZ0TbS4ulEFdaLVeAGWmawc6EUMmb+TcUISX67zeBmCcwDvvjuQhtUVc4IKalWuCHvCAKhL4JgjX/c/fKvujeqXqcOVksFBkW4d1CcOW61uw6twq0VdDqe9TH5OaTcI9je6BL2v7OousfgI4uULq7bSdkrettJJ7G8i+IZVQMvQ6X90PRB+QysP1eUmA3Bu3c7HlVAIahr+P9je2AwV5wAvnRA/GfrEH5xIysN57HhreDDfNFfFFV4kEK6Qz8PhWcVx2Xj7+CI/D0A3d4XsnA1vyO+KJ3Fli24DmAZjeuz66LC1MA+r8uMTkLEtGAvJ+nAC3xJMo8KsPt7SootrwqAI0Gy551hsPVhJ0llZ32vFWaSA3vwBnr2XogPjx6HRxzeSVkBvu5uqCZrW90TbUF42qeyI95iyG9e6KJiEBZRdCLI+S7zxGthl6x5mKUoIUeFRDXmBbeIZ21IHy4xk+ePvP06Ik21tjwjCguT4ihgCcQJzy67Ru6NZQz9S9+kgM5vwRISJb5t4TBnppy0WYUkYgR2I3RvjU1ue1i0o265+TuvXAaqDxIH0XrShf6sjvbF7H/T7cIdIrjHk6mIrBcm6/h8fqrmtGHP2rR308O7AJyOZfZvLXbGDf59LpWJKNpdnMSTkAdbVs7SwA3ZxJymt7YmIiQkJCEBMTA39/f5Pd0AB6eVmnDM6rAXQblbxkNHB5lxQO9vQhZSNcwaZHsunwoh4sW07Hh3z0QYkd9N4f9C1wAeGD+sDtNGniSxZVWbht5b+kMib08tOLVY6i1gugHIdk91MTeN/MvanL51aEmRvlfOcUWF5qy1RHq3tVF4BbBt2Kv4XAm+DcnYz9VoqxrRlCvzN6J349+yv2x+9XtFbJrRJGNBwhwHpYzaL5VVaeWv3dz2wA9i+UgPGjm5TnO79FAth8JvjU0W+7dhI4WFiHvdd/lGkj/H3DC9K+0/+RckNl2fY2sPsj6duss0pPvuwl47Y5yYhOz0Hv+dvFruv8F6J1xj9SOaeXJfDCCa3I4/1pglQyiueZ8rOi/wX7FuLctRtYGVUJ3yY0UWzrE+KGB/u2wsCw4CK1oGnvvdvWo8fAUfDLvQ6cXgucXid5NY3FvRLQaKAUgdB0aJnWdVb/4nCsM5Bgi55wOUz9RGy68JTnFJJqmeotveKN/asJNuw2Ib7i0yLIB5U8pHDOMn2Oc+GKC+T0iMu541yMLinax72yVAasTntc9wnDfetv49KdILwwtAWe6l+4yATgWHSaWNCivD0mDA92r69Tx+7ziXjwWynv+fP724tKCrIw2sDVxaVsFyZIxEZdVDOYoF/aKXlmKcM/BLpO05uT7OlHfwQY7VK3m80LYmVqaxtuHT7TdpxNRFVPN/RorE/1Sc/KRef3topoIm47fU3iRKEwooMkcpM6hSqY4m04vWWH7PoI2Dkf8AkCZu4vMWKhSINlCNTVsrUG0C27TEztxfngq6++KmqfL1++vNiGNIBuu44d/kgNoJfCRGSAzkyQwsVkYc1UgmYywTbsL9VjN5TiVrBPrZHy4LOSlWXKeOx3w4Cr+wDWcH/+lLK9lY8AOTelPnDy76Ci1gvAQYdbpFu38m4hKStJAb6F11smVysMQed+pRFvD28JdFcp9HRXLgThhaCbv9eqXAuebvrQzNKcz9SxJdk6Kj0KK86twO8XfkcGy/IZSOtarTG52WQMrT8UlQjkHFnIxeBZRd9DTqIXtJQ84SM+UpYhZG7nz4XMx1xgY6ijLMd/BdY8KX17eANQv6d+257/AVvmSN+fOiRxP8hClvmzGyRuibELkZ7viT+OxWL98Xi80iodHTiXZ3h+3W7CYzrlm30Y1ioIj/Wqj8YB3iVqlhMD5tKSIXn72UTFvgwTndanIca2C9aBFJP2Zi33/7YCMq9JfBX0fBoDKy7+sCwTw+Cbj5RKMWlikwYKCu4gKvmmyBWnV/xkbBoiYm+YJW6jB7h1sATECcrD6viUWI5Mtec4r5fEMyiIOYrcq4fhlXi8sLxZCRFAru64UzsMv8bUQnhBQ9Rq0hUvPThOV42BefRhb/wl9Pmv7vXw5phWOt0ypWPKN/tFiP6D3espQHhWTh6SMnIQ4OOlW5iwySilPYjPFDoCGDHQZRow3IDBmc+feaEAn5M9/wP0fbG0ZytyvGq2tntPlQ2SW2PO7xHixw8mtEatal7Cox6VrC9B2TLIR0RA0PuuunCeyDSM0M7KUzGFiqmE5qQMgLpattYAujnjmt7OfHgSx9F7vmHDBlETvTjRALptOnaKozSAbmczcfWaNdevnwKGvAv0eFp/AjKnf9kTCO4ITFikJG5jSBpD0yivRCvzxtY/D1zYCgS0BCb/pCwHZefuq9WcWi8AtfpbmnZzC3Jx7Pox7IrZJTzGsZmxRcCote1Xdq8shZbLgLsw31v+TQbeVRhOXM5iia25ELHp8ibhVY9MjlT0mCHvYxuNFV71uj76kjvlPKyST3/4e2B94QLZgDlAn0KvOI+KPgR8OwjwrAaM+i/QZpK+rbhjErkQgXa7qUBNfY1kUUP4Vqq0rUpNwNU0KY05vbDe+ufbpXquLNlmzaT0zLUb+HrnJaw9HqcokUXvFOs239e1LvJuZZouoZiXA5zfLJFUMp2GnB30rpO/w4CbQOq/i7TIyDB4fnz1ZarMje9u284FlJjUW1LOeGwaThaSuMmEf8Xpg3niMhDn31Z1fOFbxbpwX0vu7ZLsQTKvi9dvIOfaOQypHqf3jrO8WZ6+rrVxGwVwwfmCYERXaoZBg4ZLueO1JY6UnvP+FqHO3RvWxLJphaXCCht4b8NpVK/iiXahfujeSB+q7lDXDEuaMlT9VprSE85O/rc1kH4VCGwDTN+t7DYBHpnl3ayPcrJk/KW1tSXnUGOf8wkZ+PnAVWyJTMDm5/qIBSem8ZAYc8GWc7qybDz3qDZBeHVEC8GhUKZybjPwy71AuweAIW8XISM02RcVgbpattYAuvpXlQbQ1ddxuZ1BA+gqqZ4kTVzdNmSBPfYL8PsM6YSPbZFKt8lCjxiZ1ZnLPnUVUMsgxNQcC6hKQ7Bns2q9AOzZx9K0lXo7Ff/E/iNA+Z7YPbpSY+ba9HT11Hm8DXO9jfO+q3pUdXxStcLBWmvriKQI/HrmV2yK2oTs/GyFynrW6SmAep+QPjaF25vTv9220wMoImCSpBB2ggdZWCmC97BKE2lzY1h+6Cp+2HsFqTdzsPeVAYoQ9S+2XwBLtzGMl6DNxZDV2aBhljNavPuyIGEyLKfFElkT2wfCM/UK+nXrgIZ1agnWeXeG0xcnhpEB9KIzXcBYCMAYBk/vuuGihbnBVsDt19JvizB14R0nGI9JQ2pWbokjpWdYDlNvTe94sK8g0SqtmLq3jWt5k1l706lrgnjw7XvCUDPvmo7A7dKJ3fDPOANvl5Ijhe7UaAgX3keFbOoz/s7H4fgcNA/0xtLHuiqGcTgqRZCzkazOsOJBaceqyvGm3uU/jgEu7QC8fICXo5QLcSR148I+qyJ0fFiVLhXXqLXP8TLtnAUnY1SJKxnkDGTEp7sQGa+M3Krk4YrpfRvhyT6NxHWkurAG/ecdJbJOEnly4cXwfWGuAyoAdbVsrQF0c8Ys/XYNoJdehw7bggbQy9A0kX8Aez+TQtbIns6SRLIwBJSTY3qbKqCo9QIoL1VxUnou9ZwA5DtjduJE4gmTTOhBVYPQokYLkyCchGv0FhcHisprbKU9r622Ts9OF6HvK86uwNWMq4puBFYNxL1N78X4JuNFiL4m1muAAN2QdZo5yt3f34brGdloWKsqts0yXxqKbSzZF4Ule6OKBYl8jNWo4gl/by8RXir9lb7zE1oQhwZXV8Hvyma4PLwBrjH7gMi1AHP4c02U8mI1CXrVCdgZRVTMIoL1GnG8I5Izs8Fc8ROFYer0ktM+JUn1Kh4GOeNS7nhtH/uliDBnveDOHRHuLd/bnnXb4sNtUQKEL3qokz4H+EY8/t7+FyIObUdbl0voWSUa7tmpJSvaJ1gsah0vaIT92XWRHdAG04d2UuR5Gy8COJ7lzPSIfDXkm2Cq2vQ9yjKNOz4AdrwnNcA8ZUabOIDY+hx3gK6b7AIJNscv3Ct4GQY2D0BqVg6OXtWXDmV+Otnex7Sro/47mZxCjJpkWV960G2RYoF658I66gNFJQbeu/l37og1Yj7z+Z2ZlvLv/Jualo59+/ZjYJ+eCA203/tVA+i2GNa6YzSAbp2+nGrv8gTo8UnxOLjnoKgv6Ofn51R60zprnQYqwsueYdkH4w/qQHlCVkIRJZDNvJ1/O/QO6Y2+IX3R2K+x+i9760yh+t6ltTXLw+2P2y/C37n4we+ysKTboHqDRK56x9od7zrd2tN49Irfv+gArqZkCXbj5wfrc9wJyhbtvoRhrQLRyL9oeSLm6a44FI1Fuy+L8GLb5A7cXF2F19O/mhfqVAXeS5iOgNwYka2u9H0VnqFGw8Iw+DESI7cTg3WyTTM8XQ5TJxg3p0tvL3cIj3ghiRvzx0OqV1blPiC7+7PLwnExMRPvjm2NSZ1DdQC9cr22eOnX/Wjjegkvt8lC2J1LErN6RnyJl0JepRpI8Q1DbmB7+DfrLjGre+sZ1G27jhzoKHLQkNCOhK5+Buk5J1cBqx+TOmrMQ5F0QUqJq9vdoXgYSvscdyCr6LrChR5GoVTzckcj/6r441gc3t94Ggk39Itg/H14qyABagWIzZeKkBLc8njpd4AeerG9gAFSpn4v3E9uRxyvB8mMHHK5k4/bdzx0x/vmpWJY9kYs9xyHW3c89QDb6FgBsgvbqnsnFk/cWY2R+AduLvpyqUcLGuOTvAnYVdCmuKdpERPN6BWKl0dxf/uIBtDto8eSWtEAuvo6LrczlBdAj86Ixtjfx6KJWxPc3/5+DGs6TFXiqnJTsHZioQFnfdnHZ8YLQL4rdhcOxB8oEoLNsXl7eqNXcC8Rht2rTi/4Vbq7F5vsaetrN69h5bmVWH1uNZJvJyvuJi5+MPx9dMPRqMb8bk2s1gAnlgSGJMRiiLAsrAP92JLD4iuJliZ3Ns0FQCblf07HYOeBYwio1xg3812RmJGNpMycwr/Z4m9JZbzkc1bGbfzk+T46up7H6vxe+D2/F4a5HsIQt0Pwd7lRZGxp7gG4WKsfrgcPQX7dbvD3riJ56729QCDrSJEpJCyLiCV5m1RrnCHrhqRVpgxX2cMNrYJ9FGC8fs2qRcJ2rTa6wQFciGGeNrkGWE7sP4P0izRJmdno9M5WuKIA/+nkiWdb38Gt6GNIidgG/7w4eGZK9cCLkztePnBhGcLCMHWxoOIb6tSLKiUOOPEc8FUvgGk6xjwU6bHA/wp1QTJXlh10cLHnc9yRh8p784HFBxAerfeml1d/P/X4HGPc9iKqoDam5ryGWJgurWWqfw1c4vG0+xqMdd1jM1B/smcoXh2tAfTysr8t59UAui1ac5Jjygugf338a3x+rLA+JAAfTx/B3jyq4Si0C2inqKvsJKrUulmCBpzlZZ9fkI+TSSeF55bAnGHspqSRbyP0Ce0jvORt/ds6dn60ylcmQR6jC+hnYK68GrbOzc/FtuhtWH5mOQ4nSMBRFhLoEaQTrDer0Uzl0d4dzb+25iR+OSClGfzzcn+EVNeTDzJEtKqXlPNLMWdvXh/0FhOoi0+m9FcG8fyeVPg7Q7zrIR4kBbtyJ1C0T4A4xnUP/uv5pfBAmXKaJ93xweb8jthU0AX7CsLg6u5pEF4vhdaLT2GovT703qtE1nJbrM1SXJHxN4R3/Dhzx2PScSExU/S9OPF0dwWZpRmeTq9421A/EbnAGuT2kB1nrwt2dzb3zEA9vwlt0/GdrUi5mYN+jXzwwz01AJYySzon/kadDUed/Fh43jFT1lGUN2tbWGe8MHec0Q6uJXAR2GNg5dEGSy1e2SNVSehjwJ7O3OJ5daU0DdYeZw1yQ2GpNA/7pR6oPXRz97Xa5y/L9uPTb+G7fy5jTXiseC7ZIl7uruJ+ZRk+3mc5+XyKQfBxVPF0K/zdRdwSbmIf/i/ty/997mTii4xn4F+QhPPuTfFajQVwceVCI/TtFu7P47kASaoPuR2pTaB2bgwGJy1Fh/Qt4tkpS3TVMOwMegxRvt3g6uaq6yf7TNbw6CtRGN+7LQa3rWfL8E0eo3nQ7abKYhvSALr6Oi63M5QXQP/76t9YcnIJwpPCi+TuBlcLxogGIwRYb+hXfHmBclOadmKrNeDIL3vmPu+N2ysAOYne0rKLrqR7uHqgS1AX9AnuIzzlId4Vj2WaeriRfQP5d/JR31dfF5jG/vLYl0i6lSTux6ktpursn5WbhZ7LeiLvTp74/ZUurygA2y9Rv6BrUFe0D2hvt0W3C6kXRKm2tRfXirrxhsLzMPx9cL3BWkSO1Xep/gCGc5Lsi14lw/rR3GPaj4exOTJBsGYvfawLMjNumGZxt+H8PC9zQ+m9lQE9/28V+V/0uLZUtPhp5ZnwuR2Pfvn70MD1WpGzpN+pgq0FHfBXfmfsLGiLbJRcUpCTZ12+fDV64BlyX6nwr5xDL/2V64HLJ6UHmqHgMhCnd5zfS4oYcHd1QbNAbx2jOgF509repa6tzUUQltS7nJRZJOJh8tf7cOByiigrdnBWZ4D5qwKIn8WRIwfgfzsKIbiumNAXZ74CFzcU+LeEe93Oeu+4f/NyI0G04TIzfwgrKLAiS0acRFRouCq0sDtwPRLgAsSz4cq2tr8v1R2v3xtg9IATiyO/s9VUK3PVs3MLBNgleF1xOAYHLyULwP3NQ50EsJWAODBu4V4ci04T4fLbZvVTdGvAxztwKfEmOtT1w28zDcpnAhjy350ivWdwiwA8P0S/qHwnOwOJ6+bCte0U+DXsqCfbZNI4A+2tqeTB1IldHwInVwAGaWII0eeoy9e1WrZ2FoDO8U+bNg0bN26Ej48PZs+ejZkzZwp7ciGkSpUquois3r17i/1KkpycHAQFBaFp06bYt2+fmpcrNICuqnrLt/HyAugcNW+KtdvXIjMkE9vit5n0VpJgi0B9eIPhgmhLE+fUgFovAFu0Qa/R5fTLOi95+PVwAUqNhSRuzCUnIO8W1A2OUMLMkvEyLDz+Zrwo7ca+G8qSU0twNOGo8Ph/3O9jxbYJayeIe5D33IrRK5STjRUDkHgrET2De+KrQV/ptlGX7Ze2F/q7p9E9eLfXuzqAHtwuGI/seETs+2irR/Fcx+cs6b7F+3BxYP2l9Vh+dnmRZ0eNSjUEodzEphPBBT9N7KMBTl47vb1VTFZ7N6klGLXle7tz916Yu+kyAn0rYXDL2ujdRP+8LjXJF2tCk2Tz4t/A+MXCM5uXl4/0qydQadMsVEqOgJtRBQCO+Ba88A/aY21OJ2wvaIdMlK4MIUPn5TD67Nx8nI7PELooTjiJZ+14w5zxFkE+paqvzbSCy0k3UbdGFUU7rP3MGtCU43MGw7cgRecNP3hoH3KvnUET1zgEuJghbZMH4+YplfGq1RTwbyb+3qhUBzsj4tC7/yDn5425FgFc2ALciJfKIlYL0Jtx02vA/i+k72RWr1xdv+3PWcChxYB3HeCpA8qSqPa5zRyiFUd6ZzuEQkx0Yt/FZFxNuQkPN1eM76BctG/75mYROTS8VSC+fKCj7mjev01f3ygiaiZ3CsUHE/Uh5SThbP/2FrHv470a4PVRLaXjjixB7qHvsSJwFlzrtBXpKA1qWUgobAFQT0tPt9siq6GanAWgP/DAA8jKysKSJUsE4B00aBBWrVqF/v37C2B++vRpNG9uQc36wsGvXLkSTz75JNLT0xEZGYlmzWyL7MvNzYWHR8mlMDWA7qhPBzv0q7wB+s6dO3UkcQQHf176U3yMCbhIvkWQRLA+sO5ApwFLdjBRhWiivF/2Ofk5OHztsADl/LA2ubG4wAWtarUSoJah681rNC/XPFYCbbLDy0DbcIGKwHTZmWXC471oyCKQ5VyWd/a/I0Ar5fADh+Hlpi+vNGvHLGy+shlV3KvgwNQDChU8sukRET4eUi0EGycoV4jH/D4Gl9IvoVPtTvh+2PeK43g+Nxc3tPFvg5ENR+oAW3xwPL44JU1yfxz+o/Ciy5JwM0HolvXbSyuC+CfxuCCV2xy1GaxDLwttSnvSq87FBT5HNLFdA/QYbz97HetPxGNQiwCMaRess3fdVp0xbpHkUXx5WHPM6Kev6R5+NVXkeZJdnHWHCeBloac8OjULrK1OD2+JJdqMu86w4gUtgJvXAZ8QoMsTwOl1QKwyDYKH3XHzREad3ogNGoQzvr0Qm13ZZJi9uXriJWmPk2bDMHWGrbMOsy3C65pEUIZh7uuOx2HWiuNiUWDl9O7oXNcXSLsCJJ7D0aP7ceHUUTR2jUUbrwS45yrLSRXbB09vwL8pUKuZwd9mgF+9Il7x8n6Ol6jH24U8BZV89LvFHQO2vyuB8KHvAA0NvJxHfwTWPiPt++hfQF2DGup7Pwc2z5a2zdirLIOVykWQO5J+nJik0Nw16dC2Ntd5B9jOaKDkm9mCXM6Q34OLnP/59ZiogEDG+Gl99M9JckEM+0Sqd//6yBZ4vHdDIDMR+LwTcDsNjA7qnv055k7sgkmdQnWj3HMhCfM3nUGATyX8Z1AThNXx1W3jIgH7UP3WFbjs+sikRz2z0zPYFnUHffv1s+vCmzMA9Js3b6JGjRoIDw9Hy5bSgsisWbNw/fp1LF261CaAPnLkSDRp0kS02aNHD7z//vs6e/Tr1w/du3cXCyInT55Ely5d8MMPPyA0VLIn50WfffaZ+CQnJyMpKanEq1kD6A5ws6vVBUcC6PIYydp8JOGI8I5xwp2Zm6kYPnNO+4X2E2C9e53uYPixJo6tgfJ42V/Puo7dMbtF6Pq++H0iT9pYmDPdo04PieAtuJcqJbwIsNddXCeAdqfAToJ9XJaTiSfxws4XxLbXu72OEQ1H6LZtvLwRL+16SXz/ZvA34lqX5efTP2PewXni66rRqxS51/87+j8sOrlIbPv73r8VkScE06w3Ts6HdWPXwc0gZI4h49QZy5iNbTxWoaobOTdQ2a0yPNzM32uGtk68k4jt0dvxROsnFIsdHxz8ABxDl8AuWNB/geiPPSTldgrWnF8jiOWMF2HoSWee+rjG41C9koFHzB4nvovbkO1dvXEHPLUyEgS4Cya1VXiUNkXEY/pPR4WWFj/UCYMMADrZ4F9afUJsWz6tG7o2rKnTJieeR66kCvA+sk1QUbB7KxXYPAc49TvQ4xmg38vSsekxUum2fZ9LzOKGIZ7czvrDrC3N8m38eOsXuJhDLuXIK3PldWH3zJnPzBYeMJK4tQ72Q9sQX4QF+8K3svn7w9ylEp2ShVd+OyG887OGNMXUrvUA5i+nXMSFyCNYt3WHAOE9fVNQ49YViZTMEqlWW+EN13nGvYMsBprl8RwXQ2OIb8JJ4EYcUDUACNE/Q5F8Efi6D5CTCQx6EyAJmywsZ/XtYOnbqE+ATlJEj5DzW4GfJ0j/GzOrJ5wCog8ALAFH4F5JD3gsUXVF2KfcbF0RlGfjGPhc2RhxDddv3MaA5gFoX7c6wHSLjS8BEavxVu6D+C5/OJY82gV9m+ojlH4+cAWz10SIs66Z2UM6rlAW7riA+ZvOwsPNBVue64v6iDcZ+p5SpRE8h7yBau3G2Nj7ooezNUj3AAAgAElEQVQ5A0AniO7atSsYli4LgfmCBQsEwCZgDgwMREFBATp16oT58+cjLCysWB3Fx8cLsL1//35x/JtvvomrV6/CtZCPgwCdHnmGyXNB4N///jfOnDkjADuF5+M+K1asQLVq1VC5sp681dRJNYBut8vV8RpyRIBuqKXs/GzsjN4pvOpk0s4ryFMokaGsw+oPE2Cd3k9HYu51PGuXX4/K4mXPhZ3I5Ehd6Dr/NyX1fOoJQM5Px4COFoFOSzVHr9ft/NvgIpIs9IQPXiVNEme0nYGZ7aTcJgr7OHn9ZPH/7K6zMaX5FN025sPP2DpDfP+o70eCRFGWrVe24vPwz+Hj5SOAfdPqevblU8mncC7lnAC9PYJ7KPpi6ThKs585W/MeHrhyIAim6/vUx9qxaxX3banDoUVJnHzsiduDX8/8KngFpEI5kni6emJI/SHCq06CP+2ZURprFyWJIysyvb6G+drMZ/9hr1Q3+/3xbUQOtiz/23YeC7ZIZIw7X+yHejX1oZvv/hkpSrlRwucMVtRx/+ivszgYlYIg30r4ZHxTuPDdUAikSHrmfWULPFbcL52m1UThgcKlnYBBhIW00QUI7SLlGhOsV7cfSVJxmmWJpi+2X8CZaxloWcdHn+d/Ox2ZMZF48/vf0MglDv1qpKK5W5zkJTdeZDDZuIvUf2NveK0myjBtG01u7t62sVn9YYe/FwsR4GICF1xkKcgH3vYHmIrU9n5g3Jf6bfSczyv0JnadDgz/QL+NCzVf9wV86gDdnwbaSs9aIUyboGfdJwjw0l+PpR5DBWlAdVtXED2V1TByL+5Ggl9bXL+ZLwgkxWIgeRJc3bDqoiu+2XVRlIvb8O/eCPbTzz/mrj0lnr2UiDeHihJzQpIu4NDSV9EhbYuO9T2nySh4Tv3ZbkMyBR5Xr15t1itsjw7UqlULEyYULsCV0ODu3bsxbtw4RZ/WrVuH5557ToS779ixQ3jBSaT3wQcf4PvvvxcAm7nqpoQA/rvvvhOgm/cQwf0ff/yBoUOl+RvBd8eOHfHxx1KKIfehB58gPiQkRMxHCN6HDRtmkRo0gG6RmpxzJ0cH6IZaJYnVX1F/CbB+9LrkjTEUAi+G2I5qMAqhPvrwH+e0TMXqtVove5KE7YvbJ0A5veXGpbioRdbOptdaBuXGBGj20DQB4bcR3wpPOc81t8dcXbPMle76S1fxXSZSkzcy1Hv2P7MF0KbX2jBnPPV2KiKSIsQ2AllfL+fw4pizNQE6F90YIdPav7XIT5eFbO3j1o5D18CumNB0AlrWLMzBK4WRYjJihEednvXUbGX+LdMYCNRJSuksHAOlUIUqh5qzt7mTno6/gaNXU5GQfhsz+zdWAPtnloWDYd1kOT/79jDFYsq/vjuInecSUauaJw6/XuglLTzZ+IV7MDruUzzi/pcEwP9zEvALBW6l4di25QiNXY/qiQfhmne7aPfIRi4862OkkO9SyPHoNJyITQfz1UW4KoWu98wEzPx0GWreikJP32QMq50uwtSRWZT0zuTpTeSHizxx5ox7lOxxKcVwzDL2K9qm15/jqa4knMS2t4BLOwCm3jxqRLb0RTcg8TRQpz0wbYeyqwtaAjdigQZ9gX+tVW5b/ThQpRbQoA/QXB+FVJqx3u3Hlva+vtv1p/r4+Rz5YRQQdxTo9wrQ/RmTVRP+PpOAA5dSRKWGD+9tq+jW1MX7EXcxAi9W/gPDCvYg84GN8GkszVXsIabA49dffw16mdUWkrQxD9ycmPKg//TTTwJAc5ux1KtXDxwDATQ96VeuSLwf/G3q1KnCK37//ffj9ddfF79zkcDT0xPLli0T3wnQuSBAz7ksfn5++Ouvv4QnnwD91KlTunB7c/3XALo5DTnxdmcC6IZq5qR7w+UNYpJPwi9jYT4sver0OtLLrkn5asCeL/urN67qvOTMmTaOquBIafPewRLBG0PDWatcbZm0bhJOp5yGt4c3/p70Nyq5SyV16BE+k3JGAO3qXtUrPBAsja23X92OZ7c/K/RGUjlD8F5a+zEahykzK86uwLHEY4rmqnlUEyR3BOta5QjrNF0ae5s7E8PN6XXn5NIwbJPHvbDyOA5cThbl1NYYsST3nPc3YtOy8EBIEt7pmAV010ettJ77Fz7M/xC93SNRtWE3qVzWuc1AjomcbXqiWxZ61gPbmAwFz8svQFTyTZxPyMTw1kH6IRXkY9Y3fyD16im09rqG/7S9AxdRvuwckJ1ubujSdi8fKSxdELXJeeKm88Mta7B0eyls7XYbYCg4UwhajpXYy2XZ+ApwoNDL/fp1wF3Pg4EV/wIifwc8qgCvxSl1unQ8cHEb4FdXWlQxlIjVANPZyJ4e2Kp0A9GONqsBNe9rsyfXdjCvgXN/Ab9MkvZrOhy4b5nFqSpy40yniUm9hZT0G3C7tAvdBo1RPQfd0Tzocg76sWPH0KJFC6GaF154AQkJCSIH3VgaNGiAhQsXYvjw4UW2HThwAN26dRPedZnc7datWyI8nosSBOLGHnQSyVWvXl3hQbeGlE4D6OZvFafdw1kBuqxwgp/IlEjhVd9waUMRDyq9pySHIljvG9q3zMN9nfbCsHPHS/OyJ+lXeEK4DpRH3ZDCtYyF7OOyl5zpDmoQgnExgCXZNl3eJELLDb2uSyOXYvHJxaLiwPQ20+FXyc/OWnSO5kpjawL0/4X/DxfTLmLzxM0K8jtGSpBIkt7u0lZ04IIJifT43DDmJugc2FkA9QF1B2j8FhZccqWxtwXN27QLw8c58WxYqyqe6KMv1ZmVk4ce/7cKB71mwtMlXyINe+gPIC8bqSc3Y/PqxRjsdhg1XJS8J+xEDAKwz7MHgrtPQo++w3XeqvfWhmPXvv1o7BKLD/p6oeqNixIIT75gY364AVkbc+PVJiKjJ+52OpCVDPCZVVXPAQAynR/4CshKAXrPQlq1Rnq259O/AH+9Ktln+j9AYGu9rXbMA3YUEiP9+4QybeDvdyR+AIadE1QYevwZks70oCo11B+3TVfW3XOQI97Xd4/2LRgp79vjywCW9nvkT2lRy0ZRy9bOkINOldHzzRB2hq9funQJAwcOFDngtWvXFr+3adNG5Kh/+OGH+PLLL0X4OsG2sUyfPl2wtv/yyy+6TQTn9IzPnTtXePQJ0Hn8pk2bBDM8Q+kjIiLAUHuKtazxGkC38aJ3hsOcHaAb6pjg6WD8QeFV33p1a5GJNwnBBtUdJMLgSU5lSJDlDLZy5j5a+wJgfjJzhxkKTUBsTBRIXTDPmzW2ybhOb3ntqnpmaLV0Re/r2/vfFs3P6z1PXEuy3M67La6pu5200Fpbm7JV9I3oImkqz2x7Bjtidgj97pi8wy7EcjKBH8E6WeoNxb+yvwizn9BkgmKhQK1ry1nbtYe9y2rsLHEUcSkaXid+QYOY31G5/yygjeSFioy7gce/3IR5+BTVG3dB6xoFwNlNpsPOqwVKXtzkiyhIvWJR/XARaq9ifrgYBCftJEvLz5VAriw5WcDujyQQzhrdrSfqtxGEf1VYp3nYPKCbxHshhKHoPxaSRo1fjLS6g/UAPXYHsPJf0n73rwCa6jkyRDk8AcKDgY4PA9W0EqlldY3b6zzOdF/ba8xO2Q4rWbgZVYo48LXEOdH6XosWutSytbMAdI7/iSee0NVBZ3g666Bv374dM2bMQHR0tCBrI0kc89DbtlWmCvC6uX37tqh9vnjx4iK57ySKIyBnTXQCdHrZd+3aJVjcO3fuLFjc69aVFlg0gO6Ud6E6na5IAN1QQ8z7JXs0PWQEeMZ1rjn5piduVKNRaFa9mUYUpc7lpWvV3AuAkRBnU88KQE4yQLKbGxJ7yQ2RiZtgnNEQ9HQalhCz9xBI7kb2ckMCNuaFD1gxAHl38vBI2CN4vtPz9j6t07dnzta2DJDh6UNWDRHEcsa12NnesevHEFYzzGbCP15/TJcgUN92ZZuwrywsIceqEfSqc0FIjcgMW3TiKMeoYe8yGRvBLD+F7Lo85519C+Eie4UnfAuEjRcl267tXwH3s+tQK8+CHHF75ofnZSvDw8XFvgxIvSx5uw1C94XOPmgA3EqRQs4nLdGrke28U1jSsNNjwKgF+m0kSltQWOO3z0vAgMLyYtzj2kngq17SZH/oe0irP0IP0F2zgCt7AbLA1w6TUgU0qTAacNr7usJYwMaBsKrBwu5S9E6bycD4b8w2pJatnQWgm1WQHXcgQJ8yZQrobbeHaB50e2jRQduoqADdUN3Jt5JFaSmC9ZNJRnltABr7NRae0JENRiKomkEOoYPazBm7ZeoFwNDiA/EHdKHrLPFlLARD7fzbCUDeJ7gPGvk1Un0xhWDtqW1PCQ9+l6AuWDxksaJbDG8nuRkXCzQpqgG1XvYE6SyZ5+flJxZnZEm6lSRY4cla/+8O/8bEpgbeQRsMlJiViNXnV2PVuVVIyEpQtEAiyklNJ2FM4zFOQ9pngwqsOkQte1vVCXvtvHUuwBrYDLt+4Zwy/PrqAckDTVKm0+slz3qNRhDkbGRJF8zpVuSHxxwG4sIFcR36vKD0dK2ZDkT+IeWgv3BWObpv+knHBYQBM/cqt33SGki7KnnJH16v3PZesORdbzMFGP+1flteDrDtTaBKTaBeD2U9cJY3I3t8oYeuQtnaXtdMBW3nbrM15x8sbXrw2kERlcf3iFMuxkb8Bvw+AyAB5sTvgVbjzV6hatlaA+hFVa8BdLOXo7aDrIG7AaAbWjsqPQp/Xv4T6y+uR0xmTJELgQzczFcfXG+wNgG3420ivwCadW6GYzeOCVDOdIScAn3tSfl0BFqsSc6XJL2larOXszyb8Yv4+R3PY8uVLXCBS5FcaDuqpUI2pdbLvjhlMfd//qH5YvPHfT8WJdRkMWVbS5Uu2OZjdmL5meXYF79PcVglt0oY1mAYpjSbgrBaxddEtfRczrxfWdtbdV0x35qe44Z9laf6spdUi5uETPf/qt9GD3TMIQm8M8ybudW6F+xSqeYw25y+SyI4k2XTq8D+hdK3V6KBSgZle357Ejjxq0SKNidRCd5/mgBc2CqVIuMigqEwvzs7U1ooMKz5zX0yE6UydO6eNquwwtnaZk1U/APvBlsz0nLb1W2i+sqBawfA94Us7QPai2osDX0N7llnMTvLr51YDvR9Wfns4LPBkMyxcDxq2VoD6EUvGA2gO8tN5AD9LG+A/sWWLzC2x1iEBZftJJde0uOJx4VXnd71tOw0hTWY50qASLDeO6Q3PBm2qIlFGqBuGRrOBZDYjFjEZsbiYvJF7L+6HwkFSo+k3CCjGEjwRp2Tgd/d1SinyqIzW7cT85wZ0sxV8yXDlyDEO0TXAD21v1/4XbJ/cG+bQ6et61HF2Futl31x2mEqAnkndkTvwLdDv1WkPZC0jwstjI65t9m9NpNEXrlxRbC/85rgtW0orWq2wuTmkzGs/jAdc3/FsKRloyhre1vWKzvvJYd6s9mOjwCjP9GfgLnWKx6Uvt+/EmiqXyDC4e+A9c9J2x7/GwjpqD+OwJ2AmvLsMaBGA/22Q98CUf9IXu2h7ylBdVo04OIq5ZirWFLNlAbvClvb+dJx1uYqqq1ZEnV//H7xziA4NyYJNbQX54HT207HI60ecX5uGUbKfN0HCGoDDHlXwQuhlq01gK7+3a+FuKuv43I7Q3kC9NjEWIzcMBL5yBf5nWTFLg8hS/je2L3igc28dYbSGgpLdLFcGyf5HWp3cM6wJzsrlivPcZlxAnwLIJ4ZqwPj/N8UqZthFzxdPUX4OAE5gXmdagZeJzv3tbjmCMIZyk55qt1T4kWsSek1oNbL3paejftjHC6kXRBRGNvv3V7qhRZO5pjiQLAekRyh6BIjPwjSGX7P50RAlcKcX1s67kTHOJK9VVMbiZgu75Dyv0miFtJJf6qoPcAPhbW3x34FtLtPv+3idmDXRxKY7vcqULulfhsZy28mSiDcu05RoifVBmN7w3eFrW1XT4U6siLZWua4oaec5XmZFmUodAgwhW50o9FoXqO5iMjiXFAW8tC81eMt546W2r1ASmWhdJ0ODP9ANz61bK0BdPUfCRpAL0HHmZmZ+Oijj3DkyBEcPnwY165dw7/+9S/BymcoDz/8MJYsMSBtMWrznXfewezZBuQsJs5ZUhtkGQwJ0XsALb0syhOgrz61GnMPzxVdndt9rmBMloV542RVZphRWXhT5fNm5mQKBnh61pkfbUxUFlQ1SOSr07PKfOiKKly0oGdSAPAMJQAnICdZl7Xi6+KLvnX7YnCjwYJF37BEmbVtWbO/HMbGY/gCloUhzMxdJrv/w2EPY1Kzwpqi1jSu7VtEA2q97K1VNRfa3t3/ruRBbzhSsQDICRsnYd3rdBcfW5j3I5IidBEYxot67Guodyg6BHQA02b44XcytFY0cRR7l5teb6UC0QcloF2zkUSoVkHlrrd1BbWrqWFVBFtzDsO5HJ0vXKg1lrb+bTG64WjhgDEsi8r3w+Yrm/Hegfd0cx2mwT3U8iHMbDfT5kiscr18Yo8C6/8D3IgDnj6keE6pZWsNoKtvcQ2gl6DjqKgosHA96fU7duyI9evXmwTopNe/ePFikZY+/fRTAewJ8Dt06FCiNWWATqDvasA8y4PGjx+PKlWqWH01lCdAv558HUu2L0FarTQ83/V51Kysr7/68+mfMe/gPEEI9c3gb9CiZgurx1baAxJuJojwdz7cWTfZWFh3mxN/1r12Nm8Zc624iqwA4PSCF3rCr2VdU+RjWaJLAl0Sp8kfhozL/1fNr4pDew6hb9++JutHWtK+LfvwRXvP7/eAtdPZl43jNypAUnxmvCihVRGBky36sscxar3sbe0bwTMXaapX0gMnVgm4f8P9oslHWz2K5zoWhiHbcJL07HT8ceEPQSxnXKrNsLlalWsJoC6D9ibVm1SIaBxHs7cNJtQOsVADmq0tVFQF2M1ZbX0z96ZYlCXPEAnfjJ0sXCglKKeTJdQntERL8dn+4aEP8cfFP3T78Xg6lBgB6HTCSKCUS4B/U0XXbx7+FduvuqLXgCF2nZ9pAF39K0QD6CXomEXsk5KSEBwcjLy8PHh4eJgE6KaayMrKQmBgIOrXr48TJ06YtaQM0HNzc+Hubp8c3fIE6CW9AB7/63FB2sFa17sm71Lkdp5NOStAldrkYYYGOZ96XqzEkmCOq7KGwpVVeoT5wB9Ub5DwyDqC8OVimAeuC0fPiBXh6aYI2krqN72MDEU3BuEh1SQgTnsUB3TL6mV/IfUCGvo1VACfBYcX4PtT34tIjFWjV1XoyAdHuO7KytalGeuPp37Eh4c/FE38OupXUaJNluiMaDBPsb5vfatPQSbgowlHRcm2o9ePgs+N4oSpM4wQkgF7acrEWd1ROx7gDPa243Dv6qY0W9895ncmWzMajuV0CcoZmn47/7bCUJybMP2IEXRtarWxekGeKZBv7X9LODBkmdBkgiizytQmp5boQ7jz7WDE+nVBtYdXaADdyYypAXQLDWYtQP/555/xwAMPiBD5WbNmmT2LDNBzcnJw69YtVKtWrYgn3WwjRjs4KkAn0CKBR1ZeVhHv1vi143E57TKGNhiKeb3nWTvkUu1PzzMn4PSqb47ajIzcDEV7ZHfuH9pf1Fe3NXTW0g4yH1aXBy6HoRt4wY37Zq5dMpbXrlpb7wEn8PbWe8QZJWBr2RG1X/bh18Px/oH3cTrlNL4d8q1idfty+mVBCsMXtKEX1Zw+tO22aUBtW9vWq6JHcbJFHgIysRsuLL25701RYo2AedGQRSCQtlW4SMZrk8+MI9ePIDIpUlFj3bBdPjtIkMj8dYJ2hl+WVRqIrePjcc5i79KMUTtW0oBm67vnSnB0WzM6LjIlUoBy5pUbp93RodAvtJ/diF4ZhfVZ+GdgdKfslfev7I/Z3WZjYN2Bznth/DIFdy5swfamb6HDsKkaQHcyS2oA3UKDWQvQhwwZgu3btyMmJga1a9c2exYZoHt7eyMjIwOVK1fG8OHDMX/+fDRqZFs+tKMC9OKUQebtEWskQh7WqXyj+xu6XQmeybbcwNeADdesVm3fgaGzu2N2C7DOiT7ztg2luld1kdtEsG7Lqq1hHrjMhm5IyJZ8O9nqzrNPwgNuALwZik4vOPPrPdw8rG7TkgPUftlfSruEMX+MEV0Z23gs3u75tiXd0vZRQQNq21qFLuuazMnPQf8V/QVTO4mBVt+zWnE6empKw4nBSd7JpJM4knBEgHZWkjD29sgndHdxF6k9soedwL0so4Ys1bMz29vSMWr7aQD9brsGHPW+plNCzis3lVLE5yU95WqVyj12/Rjm7p2Li+n6lFWe67Wur4FpTE4nOVnIjNyMbVdc7J6C6Cwh7rzWp02bho0bN8LHx0fwgc2cOVOYkr/v2LEDHMt3330H4rCShGXUdu7cif3796Nr1666XZ966iksXLgQ33//vdk2rLmGNIBuobasAeixsbGoW7euANjMW7dEXnnlFTC8nbnuXl5e4gL47LPPQMDOPPZ69eqV2Ex8fDz4MZTTp08LLz4vwLZt21rSDbvtw0UGLhAw955jsESYX7Qzfid2x+/G+Abj0Tmgs+6wUymnMH33dNSrVg/Ptn4WXQLKLkeIE/odcTuwOWYzjicfLzKU4KrBGBIyBINDBiO0mpT3xBXg5OxkxGfFI/5mvPS38BN3Mw6JtxORfyffErXo9qnsVlkA7TpV6iCoSpD+UzUIQZWDys0jZ4utTQ08PCkcm6I3wcvVC8+3fV6xy/N7n0ftKrUxou4ItK7R2iq9aTvbTwP2srX9emR5S1zk4zXG+7iZbzOMbzhed/DtvNuYvHUyOvp3xLgG4+xyjXER7lzaOfHMOJFyQvwtqQJCA+8GaFuzrfi0qdkGAZXLnyneme1t+ZWh7UkNaLa+e64DR7I1n4nb47Zjc/RmHEs+VsQIoVVDMTR0qJhf1alqe0UYLsAeSjyEsOphJYaucyH3p/M/Yem5pbqIKG8Pbzzd6mkMDx1udQh9eV9VatmaeIPpuOTpcmR56KGHRFQyATgB77Bhw7B8+XIQbH/55Zdo3rw5XnzxRTzzzDMihbkkGThwoCAL79+/Pz7//HOxK6OeGzZsiKpVq+K1114z24Zx+/n5+SJa2lQK6eXLl0V6NXnQDOX48eOi/5bwm1liG5c7RCxOLNYA9Hnz5uHVV1/FypUrMXHiRJtHvWXLFtATb4o53rjRuXPn4s03C8ssGG38+OOPbfbC29x5Ox+4+dZm7MreJVqdUW0Ggt2DdWfIKsiCl4sX3Fzc7HzWos2lFqTiRM4JHMs5hsSCxCI7BLoGitJy3C8PeVb1xw1u8HP1E5/qrtXFp4ZrDd3/VVyqON3LwRoFfJ3xNaLzo+EBD7zi+4qwqSx8fGhkb9ZoU9vXGg2czDmJ5VnLxSEjK49Ed6/u1hxu0b5cILhecB1X8q4gKi9KfDLuKNNoDBvi/V/PrR7qu9cXn5quNbV7wCJNaztpGtA04MgaoHPifN55MY86k3umyFyJc502Hm3QzrMdgt2C7fLc4/P3vxn/Re6dXEyoMgFNPJqUqKKE/ASsyVqDmPwY3X6N3BthbOWxqO5Wcas5WHrd1KxZE/wYg0dLjy+L/W7evCnAM73eBOKU119/HYmJifj66691XRg8eDAeeeQR3H+/RC5bnIwaNQp9+vTBokWLEBERIZypv//+O1asWCHalNu4cuUKnn32WZw8eVJcuwMGDBDpzr6+vqLpNm3aiH3XrFmDc+fO4cyZMybTD7gIkpycLD6GQlJypk5rAL1QK9YA9JYtW4pVFiqXBiyN0KPOduLi4kpspiJ40EsaYERKBLbEbMHZtLP4sveXigf2vPB5wvPeo3YPvNr+1VKFqVpqKwLG8+nnhTeO/UrJNl+ajHng/pX8hRdc4QGnN7xqEGpVqlUmiwyWjtHS/axdoU3NTsW22G0YFjoM1Tyq6U6z5vIaLDixAM39muP1Dq+jnnfJUSOW9k/bz34asNbW9juzui0dSDiAH8/9iFOpp/DbkN9Qo1IN3Qn/if8H59LPoX+d/qjvXd8uk0U2zmdIXFac5GFPljzsMTf1k0HjEdfwqiE8621rSB72Rr6NVH9eVFR7q3s1OWfrmq2d02629Lo8bC3yylMjxZyJ7//0nHRF1z1dPdErqJeIRuwa0LVU8zi2/Xfs3xhdb7SiHT7jF51ehCruVbBy8EqzJHBcSFh9abU4Rk5XIp/ItBbTRARWWTiFbLGv4TFq2doZPOjh4eHo2bMnSNoty08//YRPPvlERCbLwn0Y7m6JB33SpEkiXJ7RyXTA3nPPPQJsE4DLbVy6dAn89O7dGzdu3ACPIShnZS9K48aNBc8YATpJyN3c3MTHWDQPuoVXv6UA/dChQ+jSpYvIcfjiiy8sbL343VhijWHyDKOwVpwtB93a8XF/MjIPWDlAkIg0r9EcK0evVDTDvFC1yZjYB5b8YL46809ZPk7OBWf+t2BC9w4WINzTzdOWYTr0Mdbks+2J3YOntz0tQsfe7PEmxjfRhxln5GQgMStRMLVr4pgasMbWjjmCknuVfCtZURKSe0/bPA374veJSd0/9/1jU111S3XB658M8XIe+7nUc0VKCcltcXGrXUA7XS12Et/Z+/lS0e1tqV3uhv00W98NVpbGWJa2jsmIEXMj5pazJKqxdA7sLEqjsUpOaUg75XZJ8PvK7lcEb9BnAz4TZHLyXPHHyB/xydFP8FaPtzCmscRrY4lwDCQYJSGtLOQe4hymcfXGljRRbvuoZWtT+dERp55DVlbRktP2HnyVKo3QKuy/ZpvdvXs3xo0bJ6pxybJu3To899xzItxdlm7dumH69Olm88cZVj5lyhTUqlULP/zwAxYvXox27drh6tWrwrNeXBv0ss+ZM0d41Cms7sW0Zu5fkmg56GZNLO1gKUB/+umnBTA/cOCAAOqlFa66pKamIjo62gVf1NAAACAASURBVOqm7gaAztxRMm/+Hf03egf3xvS2+gue4JykUC1rtsQDLR9wbjZOq61fdgcU9wJgSFladprCG0kQ3m95P1EGrmdwT3w16Kuy66h2plJrQK2Xfak7plIDfL6MWjMKCVkJ6BPSB18MVC66PrnlSbEAN7DeQPSo08PuvSD/BYmLZMAekRwB5lKaEi83L7Sq1UoC7AEd0TagbanLQt5t9ra7AZ2oQc3WTmSsUnZVbVuzwsVfUX8JYM5KF8bC6B8S7I5sMBJB1ZT5tdYOzTj9LT4zHkNXDxULmyTy/ajvR4omSTpLsmHDlDnOFVn2t6Q0Op6HNdPnH5oPzmMoJBWd1noaHm/9uGokvNbqw3h/tWxtCjwePHQPMjJOlbbLZo/39g5Dl85rze5HDzrJ3AwdnPSgM+2X22QxBdDDwsLAUHUKw+GnTp0q8r4J0B999FGEhoYKLzrbJl+YYRvXr18XIe5cIGAEQ0FBgeDiknnCCNBJKjdihESKXZxoAN2siaUdLAHoNFSdOnUQEBCAyMhIky2TCI75A8xFkHM3mCdBsgXjcHgSGfBiePLJJ/HVV9YDmbsBoBsq2fhBvfXKVjy34zmxy+yuszGl+RTd7vR6s6yYltds4Q1Qwm6mXgCLTy4W5axYvu3H4T8qjv4u4jsEVglE/7r9xUtRE+fRgFove0fWAJ8VrH3OyRjBryxkHOZEkHJf8/sE068sBNEkG7J39A7LL0YkRQjAzg+Z4vmbKWH4JaOKyBDPfpMB2dpShHejvR35WlSzb5qt1dSuY7Wthq1z83OxK3aXKI22M2Znkco3NSvVxPAGwwULe4saLUo992L98lXnV4nn8vw+8xUK/uTIJyISjwzs5uYYfFY/+tejgoR2Tvc5ZsPek24l4b0D72HLlS26czb2ayy86Syl6Wiihq05RmfwoBNb1ahRA8eOHUOLFi2EaV544QUkJCRg6dKlOlNZ60Gn55vM7SSZO3jwIDp16qQA6I899hgyMzMFCGeePj3oPIapzxQCdGI6EtaVJBpAN3M3kamPFzhXQN544w20b98eDDunMPeAHm5ZfvvtN0yYMAEkiXv55ZdNthwVFSVYDw2J33jxjBw5EmPHjkWTJk3g6emJffv24ZdffhGrNPTGW1KqzfiEdxtANx4/V26XRi4Fw6rXjl0r6oDLsvLcSnwf8T0GhA7Ao60fVXh5He0B6+j9MfUCYIgZQ9ooG8ZtQKiPxG6viXNrQK2XvTNqhZ7tOXvmiLDNT/p/oojQOXTtEKZtmSZKMD7X8TkRiq6GMIzzTPIZfVj89aOg96o4aejbUALrBO0BHc16rzR7q2E1x2xTs7Vj2kWNXtnL1nSKcJFw3cV1+OvKX0WePczXHlB3gADl3YK6lSqv3FgPj29+HAfiD4AlK7fcu8XmMmhfHf8KXxyTIqOYckegbYlsu7IN7xx4BwTsFHIMTW0xFc+0f8buC7OW9Ke4fexla+P2naXMGj3f2dnZogQa88LJxE5SNxK30alKbNe3b188/vjjePDBB+Hh4WEyH5zjlz3oBNsE+XTEktGdYgjymXNOVneSydGbPnnyZJw/f14D6KW5kE0dy5UOOczBeLtxzbsxY8aIfHGGo9OTbkpMAXSuqpCRj/nrJIOjl53AfPTo0aJmH/MdbJG7HaDLOuPKrnEN8BlbZ+CfWCmfdPeU3YpQUI0xXHm1MfyLddkZQkuPuCyxmbGYf3A+EjITMChvECYOmKhjouTqNsHLyEYjMbX5VMXiiC3XsnaMY2hArZe9Y4zOtl5cu3lN1DA39NR8Fv4ZvjnxjWhw1ehVaFajma7x86nnRYlF1mJnFI89hWklDOFkHju9/qzHzvD84oRli3Qe9tod0MBHGfqp2due1nHstjRbO7Z97Nm70tr66o2rWHdpnfCWx2QqiS0JVLsGdcWohqNEXnlVj6ql6jo93LtjdqN9QHv4VfLTtbXp8ia8uOtFca5Xu7yKRn6NbDoP662/vOtlwX+z6p5VVgF9piAtOLwAq8+v1p2b/ENvdH8D3evYvxKILQMsra2LO6ezAHSO/4knntDVQSeLu1wHXa5rbjjGkmqZGwJ0Y70YAvRTp06B5d3Onj0rCOEI/D/88EMNoNtyAVfUYzSAXrxlGQK1KWoT6FFaOGihYsfH/3pcvAiYH8Uw7LtBfjv/m5jI8+VyT6N7dEPOzMlE92XSi+aBFg/g5S76yBASpwz/bbjY1terL94Z9o4OoBMocKHDzVX90nd3g30cZYxqvewdZXz26se2q9vE5PVC2gX8MfYPBRCXo0vIFP/XhL9Qyb2SvU5bpB3BFH8zTpfDzrB4U0RN8oHsE0PhCdr5qe1SG3t27xEeBj8//eRYtQ5rDZebBrR7u9xUX+YntsXWabfTxJyJwPxE4okifW5SvYkgexvRYITdFuTPppzFzK0zcf3WdbzU+SU82PJB3XmZQpRwM8Eu0Xlsi4sOxoRv2fnZwjFhTujJn7t3rmKxYkyjMXix84ti8bY8xRZbW9JfZwHolozFUffRQtwd1TJ26JcG0EtWIievmbmZCuZQesMGrxosDiRQfbfXu3awRNk1wXArkqRwXMYruLP/mS3C0Zj/vXjoYkWnBqwYgMRbiehZpye+GqznO6COOv/cGXxRDa8/HPP76nO9SKBFBv3qntURmBOIj4d/rE3iy87U5XImtV725TKYMjipcTQOv/Oe4X1K8srlo6Ta67IsOrFIhJ13DewK/yr+qvSQ52b6j0w8dzb1LLigZkrIXF/PpR7GhI3B0KZDrfIuqdJ5rVHVNKDd26qp1uEattTWfO/vjN4pyN52x+4uQlDpX9kfIxuOFN5ywyghew1YnmOQlI153mvGrLFX02bb4eLA9K3TBbcIc9nNCblAFh5bCDLFy89T5t3Lx5cX35GltjY3PuPtGkC3VmPW768BdOt15jRHaADdelOdSTmD9w+8LyawzCtl/pQsfGC/s/8dkWvKl5JaE2jDXjM8n2Gwhp5ohnsxPJ9h5+/1ek9RWmnWjlnYfGWzCLc9OPWgQgFyzlZg1UBsmagnOOFOk9ZNwumU02hWvZkI8zKUz8M/F6kALWq2EEzWxqLWC8B662lHqK0Bzdal0zAnbgTG9LgwXWRSs0m6BplK0nNZT1GCkBPCBf0WlO5kFh7NyS/z6RkWz5D4k0knixA8sSmGrrau1Rp9Q/uib0hfEaJfXpNOC4em7WaFBrR72wplOfmuJdmazyjOf5hXzrmEzFguD5lzi0F1BwkWdi4k2iNK7sqNKyJM/FzKOXw56EvFc+Xr41+LlKBxjceZ5cywl1kItievn4zL6ZdFk8tGLhMVMiwRkni+sfcNsESmLOQ6mt1ttiJF0JK27LGPWve1BtDtYZ2S29AAuvo6LrczaADddtWzHnI1z2qK8Caujn55/EvRKJnJmRNVGmHI2ImkE+C5ugR1EeHlsqy9uBYfHPwAzHEyzmEloQmJTSgE2gTcsnBx4Zczv4ivB+4/oCAr+fjwx5IHvWpgEdZTvohYQ5krvtaG3Kr1AiiNbrVj1dGAZmt19MpWSSxHNmHKnG5zFOCd9ycjYEi0xMie+r71VesIvWYnE08KwL4neg+OJR1DAYp62IOqBgmgTsDeJbCL3WuwqzZArWGFBpiqxPrOB2MOIi0hDQPCBqBTaCdRisoe4EtTt+NpwNRznM8YgvINlzeA/DKGQidB96DuApQTbNq7OgXDw+U87l9H/oqwWmHlqjQuUpBgmDXTGR3wds+3reoPyTtJQsx5Gv+neHt4Y1anWYKIriwXNtV6Z2sA3apLwqadNYBuk9qc4yANoNvXTv87+j8sO7NMgPZt925TTF74IGbN77GNx4rSRrIwR+rjIx8j5VYKJjSdIMqMyLI3bi9YR5nyQe8PMKKhviaiTIDCbawVzprhsiw/s1ywh3Ile+nwpYrQMnrnLqZdRM3KNUVdeIJutUWtF4Da/dbat14Dmq2t15k1R3CxjkCdi3+GVSf43GFpH1PPg5u5N0G2ZDXAFO29afsmeDT1wKGUQ4KsiYuGxsJnEevAE7AzyobPH00cUwOpt1Nx4NoB7I/bL4C5MRiTe81rimHLTMVgWSz+JREXy1pp4twakJ/jbbq1wd6UvYIvIyI5osigaHdGCzKv3F4Rg5yf8HlRp5qeSJle5/v+vE84KVgSt3dIb4dQ8Onk06jnU0+xIEHSOpawtARkk7CT3vRjicd04+FiJknk6vrULZMxqvXO1gC6+ubTALr6Oi63M2gA3f6qJ5lIdEa0gjGUq62DVw4WRCZTmk0RoUyyGOa0P9nmSTzd/mndNobMT1w3UXx/sdOLeCjsId22yORIsfpaq3It4UkzBP0Mv2Iuq71XsW3VllovAFv7ox2nngY0W6un25Japjdn8cnFAhzvmbJHce9/dOgjkOSxU2AnzOs9z67PBWN7c3LKcHjWOd4RvcMk4ZwIhfdvjX4h/YR3vYlfE4sms+Wj2Yp/VqZOMBqCaRUE5EzjMiW02x3cKVEhXJxmaoMhaGdusHGVlIqvVeccIRfz6Ck/HnscayLW4EL+BRE+biisB05QTsI3Y9K00oya5R+f3va0AKv3Nb9P5GbLwvkMw+pZjtLelS1K02dTx/73yH8F+Se96iTVNCecH/565ld8evRTZOVlid25+PVUu6fwQMsHVF/wUuudrQF0c5Yv/XYNoJdehw7bggbQy8Y09JI/tvkxMI/KOHeUOeRkQWfo+L3N7sXjrR/XdYoTJ+aSE4QzZNWSh33ZjMi6s6j1ArCuF9reZaEBzdZloWXT5+AkliWNQr1DFTvcu+5eAbo4sWbKi6Fnh6Csrnddm3M3zdmbzzwC9V0xu0RuvfFknx1lKTc5b71zYOcyieopPyuV/5m5iEKPJME47U9AxN9MCcE10yZYqqpJpSbY/s921GhRA1ezr4KLxOQl4SJzSUJ+EjJ4y6A9rGaY+F4W0Vvlr23H7EHK7RRRbpElxMSn8P/iSi6yFBrnLgzn5j2qBkjm82vsH2NFf7w9vfH3vX9bnU5X3trmPTVt8zSxkMXrnLnplnjS2W+S9761/y0x55OFbbDuuhoEe/I5zD3DbdWpBtBt1Zzlx2kA3XJdOd2eGkAvO5Px5cMXT/zNePQK7qU4cUWvq67WC6DsrKedyVINaLa2VFNlsx+fLd9GfIt9cftEyCRDJ2Wh56bP8j6g54qpNfP76CswWNo7a+wtvPuxewRg5yTUVCg8WeFFKHyoFArvrIuSluqvLPbjNcCwYTls/VDCIdBTakq4iENA3q1OtyKVAoqzNdMuCNQZ7iuD9uLC4uVzuru4C++roaednndr+U3KQn/Oeg7anYsnOhBuAMSZbmdOXOGKLrW7YHyz8egX2k+EndtDeO0xj31L1BZ8PvBzxUIN0/PCE8MxsclEdKzd0WJwa49+2aMNXvesmc4yc4uHLBbcQdYIbUZG/PmH5ouUSArvlUdbPwpGWKqxqGXNM9yasWgA3Rpt2bavBtBt05tTHKUBdKcwk9N3Uq0XgNMrpgIOQLO14xrVeCGQYIpMxJSZbWdiRrsZus4TtH9z4hvhOe1Uu1OxYfG22pseW4asskQTw+FN1V5nSHUb/zYCHDB3nd5cS71RjmuFsukZgZnsIedfls4zJfRUMudVgPKgbiKftjgdW2NrEpxGpkQqQDtTv0oS5u029Guoy2en95Cg3VFStcrGctafhfcSifyMveEMVZdDps21yoUwkv419G0o0vMC3AKQeCoRI/qPsHtp1O8ivgPDwCkf9vkQwxoMM9c9p9pOe5AnxLiMLRdELY084KIXSYA3Rm3UjZ32oTe9tOTDxsq05r62xhAaQLdGW7btqwF02/TmFEdpAN0pzOT0nVTrBeD0iqmAA9Bs7TxGpSdLJgIb22SsCMmUZcuVLXh+x/Pi6zs938GYxmNMDsxe9o5KjxJAnR+WcjMVCk+CKMEKH9JX5NOr4U1yHuspe8oFlcPXDmNf/D4Rtm5qwYNHeLp6on3t9jpATpIvS8kDS2tr9pGpFoae9uL6KY+OgKaBTwNRwpPedn7It8KQ67tNWPObKSMyEGdUBEE4f5OZwM3phJUVCMIFGPdriEa+jcR3v0p+ikNLa2u5MUbJ0O6GaTdcLCInD3kJnm73tIJbx1z/nXU7n7WPbHpE5JQzd9/ShUZGG729/21cz7ouhs5FyynNp+DfHf5tt3vAXrY2to2zAPS9e/fi5ZdfxsmTJ8UQGjdujLfeegstW7ZEgwYN0KJFC0RGRuqGl5OTg6CgIKSkpAiuJ1k2btwojmM77u7u6NevH+bNm4fmzfWk0PPnz8fXX3+N69evo2rVqujYsSN+/fVXeHt723RpawDdJrU5x0EaQHcOOzl7L9V6ATi7Xipi/zVbVwyr0sNFTxfFuFQjCY12xOxAt8BuGBI4BIf2HELfvn3t5mnjhF6EwsdIofDGdZbZJ4bCs3IFwToZne+2UHiWumMEgiB2i9svvNX00BkLJ/QEtXLYejv/djaHkatxb2fmZArQzmgO2eNO0FkSGR3HRE8/QTsXlWTQzmiAiiC83uW8cOqC/xOMM3zaHEkfx89IBAJignB6wwnAZVBuaTRCaW3Na5Gl0TZe3ihy1hcOWqgwDe9rXossVXs3CEtgsjQu5a0eb2Fck3EWD5vXwydHPsGKcyt0x7AU7v91+z+7sNmX1tbFDcQZAPqNGzdQt25dfPrpp5g6dSry8/Nx8OBBsYASEhIiAHrTpk2xdOlSdOkipSusXLkSc+bMwdmzZ3UAfdWqVXjkkUfw+eefY+LEibh16xY+/PBDfPPNNzhy5AgaNmyIH3/8EW+//TbWr1+PZs2aISkpSfw/YcIEDaBbfDfcRTtqAP0uMnY5DlWtF0A5Dkk7dTEa0GxdMS4NegbomTuZdBKjG41WDGr61ukCQDMn9c/hf2Lv7r06gM5JKL20DE2mh660Qs8gWeHpSaJ3nX0yBULb+rcVeetkhicosdRDVdr+ldXx+QX5AsjKHnKCc4J0U1Lfp75ITSAoJzjy9fK1SzfL6t4mOerZ1LMSaC/8EKSaWoAwHBjJDmVPu1z2zV5jt4sCDRrh/ZV8O1l4wAm+Za/45bTLotqLJULGfNpagG+/BjpvOLkmShtdYg9bk5Gd9yyjIDaN32QzEaUlunDkfWjrVedXYf7B+aJM3LJRy2zK52eEzNx9cxXPQJL2vdT5JVSvVN1mFdjD1qZO7gwA/fDhw8LTnZmZWWQIUVFRAqC/++67iImJwcKF0iLTyJEj0atXL7z22msCoPNTv359zJgxA6+88oqinaFDh6J27doCnD/99NNi3y+++MJmWxkfqHnQ7aZKx2tIA+iOZ5OK2CO1XgAVUVfOPibN1s5uQfP9Z+g7PWAdAjpgXud52Llzpw6gD141WBBTcduS4UsUjW2O2iw8e6xIYSvhlBwKT8BOkFpiKHxoX3Su3dkpS3xxInc146ouBeHgtYMmSfWoYFYAIambnEdO75oaUp73NkuHnks9pwPsDJMnsM27Y5p9Xh4/AZEcGi+D9tKAGWv1ykUFEsPKLOmGgNwUSaKp9qt5VJO84H6SJ1z+sE64pekJ1vbbUltzfLw2fzv3G17s/KKiFvr2q9uxOGKxIHxjnrmt97y1fXfU/Xm98r42Lk1nDUkw0xxYXveHUz/onn2MHnq588uC6NOWhUlLbW2tXp0BoNODTu/24MGDcd9996F79+7w9/cXQ5UBOv927twZ0dHRSE1NRbt27bB582a0bdtW2JOedIaxX7x4UbRlKN999x1mz56N+Ph4/PLLLwLEM5y+f//+6NSpEzw8PKxVq2J/DaCXSn2OfbAG0B3bPhWld2q9ACqKfirSODRbVyRrFj+WnPwcpN5OhVeulw6gu1dxFyUjKfc2vRf/1/3/dA0wTLPHsh7i++Rmk/F6t9d12zjpPJ96XgAQa3KLGQrPhQISzYlQ+NyMIh1me2SFJ9Fc7+DepfI0qW1Z5uYaErsVV76MYyJxnwzIyypiwNHubUYQ8Lox9LSfTztfbMk42X7Mw5bBuuxxZynT0ggjPUiCZ1y6jDn2XFywRLjQogDhhYDcv7K/TcDLknMWt4+ltiYIf3b7s6IZ5kUblom1BniWpq/OfOzumN1YcmoJ3u31LmpXrW3xULhA9cbeN0T1BFmY7sPnqrULdJba2uLOFe5oCjwyjPzMmTPWNmX1/gTMP//8s0XHEWAzN3zr1q0ChPfp0weLFi0S4JkedIarM2z94YcfxuXLl3H16lU89dRTIjed1/iePXuER537VapUSXFO5qXfc889yM3NFb8z3/z777/Hvn37xPcnnnhCnNvNzc2ivhrvpAF0m9TmHAdpAN057OTsvVTrBeDseqmI/ddsXRGtWvyYDO3t4+uD2IxYXEy/CIKKsFp60rnjicfxwIYHREOvdnkV97e4X9coQ9gf3Pig+G6cn0lyJbIimwtVJkAKTwjXEc2ZCoVnqK0IhQ/pKwA7PZG2eJzsZWGOjWGrBOX8XEi7YLJpd1d30W8ZkFOvrC1e1uIM9zYXjqhHUe6tsOwbPe85BTklqiugcoDe015ISBdQJaDIMQTbjOKQ88LlHPGrN66a9ebLjdGrLzOmG3rGzV3jZWlvU7ZmmgXJyoKqBem6kpufi0GrBoF11e9pdI8AmppYpgEuyE1YO0Hojl7wDeM3WLVAyWfej6d+xJfHv9Slu3Dx7vmOz2Ni04kWM8ardV+bAo8kRSPuUFs6dOggcr+tFXrLn3zySdCzvmzZMh1AZ674Dz/8ILzqS5YsEQRvMkC31INu2BfmunNBYMqUKYJIjue0RTSAbovWnOQYDaA7iaGcvJtqvQCcXC0VsvuarSukWYsdlKX2JhnYscRjIiy5V3AvkScuy2/nfxPeIMp3Q78TedOyrDq3Cm/uexP0cH416Cs0q9FMDw4KcosFqgRO9KyTaI4LAKZC4UOqhYi8dcEKX7uT6qHwBDMnkk5IgDxuPyKSIooFdc2qN9MRuzFdwFJyLzWvPkttrWYfbGmbQIaebZ2nPSUSZ1POFpvDL5+D1xw97SHeIboyZnGZcRYRtbF2dahPqD4kvdAbzpxxR7ClOT0a2/qnyJ/wY+SPYN772rFrFQtbu2J26UjpzLWrbddrgAD9ld2vCKLHme1mYkZbfZlLa/TEBSPmph9J0ANS1pCf232uSCcyJ2rd187iQTfWD8E4w93Jxi570LmQGxwcjMDAQERERIgoABmgm8tBDwgIECRzpoSeeTLCf/bZZ+bMZHK7BtBtUptzHKQBdOewk7P3Uq0XgLPrpSL2X7N1RbRq8WOyh70JpvfG7RXg/Zn2zyjC0FkL+KfTP4kO7Jq8S7Ft3sF52HBpgwgLJniv5K4ML5R7zVD43bG7BWAnuZ2pUHjm+RqGwhuXnbLFqszPZQi27CHnBLq4cGd6VWUPeZegLg7DSs/0g7TsNFEqK8AlALt27bIrY78terXHMYzK4HUnPO0pp8VfkvBZGo4u96GSWyXhDdd5xAtLl5FrgWXEnFWM72veaz+flkKGfxj2AwgANSm9BviM+PPSnxjRYESp+ATYDhczFxxZAEbmUEjWOaPdDPwr7F8lRtzY4xluShPOkINOoL1u3TpMnjwZoaGhSExMFGHnDFcnA7sM0Bm6Hh4ejsqVK4t8c0OAzrEbsrjfe++94niGrrMNEtE1atRIhLbXqlVLhND7+Phg//79GD16NP73v//h/vv1EWXWXFUaQLdGW062rwbQncxgTtpdtV4ATqqOCt1tzdYV2rxFBqe2veX8cobWfjrgU8X5n9j8hAC/DA/dOXmnYttz258DPVSs+c2QT1nkUHh61tk2idiMhaHwLAEle9etCYVnKSy5tjzJsxi+akr8vPx0TOtkXDesE63GFUTgyZx2Am0uaPh4+uhOszd2L9ZfWi9I6MgbYBja/f6B9/HLmV/EvptHbsbBPQd1AP37iO9F7n/tKrXFcYYLJAT29LaWZwqBtXpkCDdTI04ln1KAdgIelnDjdSCXLZMBOYnaeL04k3CcZJCn588w7zn5VjJe2vWSCGMfGToSQbFBOltzoWnalmkY23is4JCwNs/ZmfRT3n2lXebsmSNShKY0m2LVPcR7/J3974hUH1kYBTK3x1yRwmFK1HqGOwNAj42NxfPPPy/yyEkA5+vriwEDBogSadnZ2QqAbqg7Y4DObRs2bBBl1E6cOKGrg/7BBx/o6qCvWbMGH3/8saipnpeXhzp16mDatGni/LaKBtBt1ZwTHKcBdCcwUgXoolovgAqgmgo3BM3WFc6kJQ6oPO1NNmMyuRNsftj3Q0U/+6/oLwB618CuWDx0sWLb9C3TUbNyTRFqz5B5EQofvUOE4Jsq5cVQeOasE7DTc2iY/02iPAJxOWw9JjPGpL7IYM1QdbkeOcvQ2QLsGCbPHOv0nHSQ7Iz1wGWhR/iz8M8ECKfXrE9IH922TVGb8OLOF8V3Rhuwhrwsy84sw3sH3hNfl49arpjILzy2UOS4UlYPWY3TB0/rQNtLO1/CxqiNwlN3+IHDCiAxY+sMkV9P/f40QoqAkIUpB9QHQZ4j5V2bMhyvBxIc8hpzpsWGE4knRFg+y60NqjdINzSCv66/dBWRAiMbjsS83vN02/hbl5+lWs/j6o9Dx7SOimgJRh2QD0ETdTWw5vwa/N9eiWDzkbBH8Hwn6wAcbcz7nVEP8gKhm4ubeCYwjN440kitZ7gzAHR1Lal+6xpAV1/H5XYGDaCXm+rvqhOr9QK4q5ToBIO9efAgrv33E9w+dQpeTZrAp3s3VO7UCVU6doSbt7cTjEDrorUacMR7myD239v/LYi8mF/+atdXdcNKu52G3st7i+/3N79fse1K+hXM3jMbrMNNT3hWXlYRdTAUnuCWXuND1w4pWJQNd+aEuFWtVgKQ00NOkjfj2tQEUfRa+2CZZQAAIABJREFUktiJYe2yEBTO3DYTGdkZ6BHcA0+1e0q3jd7Ngf/P3lWASVl14XdnuzthWTokpEMaBEVEBBGUkFJJaVBJ6UZKkQYVBAV+paS7W0IklmbZ7s7/OXeYb2c259v9Jr7Ze/+Hx392bpx73i/m3HPOe/5oyz5/WetLlhKgapRX3W1PN/bxm4bfoFe1XsJ354POMw8otQUtFrCSTKpGaQKTzkyCk7UTlrVehtpetYXvaI/0jwzUlp4tce3cNcFom3l+Jk69PAUK897TZY+Grrru7srC+8l793un3zW+e2fHOwhKCGJcA8Q5oN5W/7MabrZu7JCguns2yaDY67Ik9N8TuIcdUFFUyMymMzW23G13N1ZLvqpbVfzR6Q+N797d+S67vol3YeO7G3PhZmdhhyaeTVA6qLRJpDPI7Vo48PgAyymn58C297exyI2iNHrWLbi8AHseZd+bdKBHuen1fepnPxOjozVKZRZlrbzGcANdKk3mPw830HWvY4OtwA10g6m+RC1sjD/iSxQAOt5s0o0bCFu+HAnnlKVDcjWFAtZVq8C+QQOlwV6/PixcXXUsFZ9eHxow9ns7Z6knIgujslBUEmtSo0noXqW7oCby+PY/2J99pu8ojJk86xQuSv0La8Rc375se2aUk/HjYOUAMmKvhV5jHvt17TU9+SpDqaFPQ6x/Z73G9I22NGIHBO0D2mNxq8XCdxQ63mCLkkSPwl8nNZ4kfEfhrV3/6soM7QE1Bmjsjb7b/3g/nK2cQesRgZmqkSFgRv8zMytwi/lhnVc5rR9u/MByvCm3fnS90cK8FF5d/9f6jByvU/lOmNNc6bmnRgcj5N3Na28UDfHt6W+Z153ydZv4Kcv5UZN7OS/SP3k6QxJDUMG5goaHk8jZtt/bzsLOKY1D3fv59amvGaYU0XG191UN/IYdHQYib8sr/YMOQZIzklHRpSLzoufVjP2+LuxelPv39Lx5GPUQrcu0LvZWKA1lxvkZeJXwSpire+Xu7L6kZ5SusOYGerGhK3QCbqAXqiL5duAGunyxk5PkunoByEkHpihr8r//Imz5CsSfOKGxvcTy5eAQE4vMiIh8t21dqSLsGjRQ/iOD3dPTFFVk8nuS671NNbTJMKJQa1UjsqbJZyYz43Hzu5tR17uuYACSwbn65mr2mYzZLGQxLzp5x5/HPsf1sOss/Pda72sahhKF058NOgsq43W0+1GN66HH3h6MnIwY23d8sEPju0/3fsqMKDL2v274tcZ32/7bxnKiKR+aPKT6alJgTWHSx54dY/nwxDCtHoZPEQ+d/+zMtjOq7igMrDlQ2BpFG/Tar4wImNxoMnpU7SF8RwSDY06MYXhMbDSRYaJqZNiTJ5EMezJGDNVIDopEIEObojrU2bXVUwy2ddymUZ5wzc01LG2B2r4u+1DGqYywhSVXlmDjnY1wtXZlEQzq6QLkWU9KS2J8AhVdK4rethRYi16UDyhQA3TPUEWLiQ0nahywaaM24lFYdm0Z6NlBzy5qdG1MaTwFtR1rcw+6Nko0wj7cQDdCUKQSiRvoUmmSz1OQBvjL3rSuj5SHDxG2YiXiDh7U2JjD221h07cfzgW9ZEyl9jExSLh8GUlXrrD/pgdln+Dn1IhV2bKwa1BfMNgt/fxMS2kmuhtTu7cpPJ6I48jzq+6tVCdL299lP2Ncphxw8jqrM1xf7HlRo4wWhZhSfXYPOw+saKNZSocY5emggDzvNT1rGv0VomusybselhTGjHcyHoiATdWoFNXEMxMZrwCF4RMngKqp5+xufGejRvgueaDnX57Puu7otEOjTB8ZzOSp9LHzQQPfBqJry+fMySbZVt1YpSRZK98R75Z7V5Dx0qtLGHhIeeBAtcKpZriqHX12FKOOj2IfaW9tyrQRvjv89DA23dnEDh9G1x2tYZiR0UWHQkTGJ3XTNdZSy2vq89G98cXhL9ghD6XE/Nrh1yIdvBD/A+W3U3SLqrUp1QYN4xqiY+uOcHFxkUyV3IMumSrznYgb6LrXscFW4Aa6wVRfohbmL3vTgDv12TOErVyJ2D17Ka5U2JR98+bwHPEVbGvWLDBcLvXFSyReuYzEy5eReOUK0p7mZtBWTWpZqtRrD7vSaLf09y80BNc0tCyvXZSUe5uMMcrbJZZvda8voUWhqKFJocyDSd5wUyXSMgasKd+amjpRHx107Hywkxn2i1ou0jDsF11ehM3/bmZjTvc4DfXyed+d+46No0Yh4uocAeturWMka+SxpnQBVaPr4KPdH7FwdAq1J/Z6VSM+gVa/Kw8O+tfor1E9gGpVd/qzE/tuZN2R+Lzm58I4isAgOehQonnp5jpn9NfmCWMMWGsjZ0npQ+kfVDP9+PPjLKpmdbvVRSKZJH2lZqSCIjPW31rPooWo2ZnZYWbjmWhfub1kKuUGumSqzHcibqDrXscGW4Eb6AZTfYlamL/s5Q13WlAQwlf9hOhdu4CMDGEzZDh7jhrJSOBUTQzWaSEhzFBXGeypDwPzVZSFtzcLhVd52a3Kl+cGuxFcVmLwNgJxuQjF0IAcsSaPIf0jg3pCgwma6QdHBoOMe3cbd5zooZmm02d/H8bqT6Rae7vs1dBa823NWW14ClVf2Xal8B2lTFB+PXk4u1bqqpF7T0YRsf2TJ5wiA6iPMTc5Ym3M+pRCNuJa2PFgB1qVbgVPu+KnhBGp5LRz01hZQWpEbEnkkp9U/UQKccENdEnUWOAk3EDXvY4NtgI30A2m+hK1MH/ZyxPutNBQRKxZi+jt25GVpvRcUbN5sxa8Ro6EXZMmuYzk4mCdHhGBxCtXBaM95d49DU+9uhbN3dxeG+yUx14f1pUrw0whr3rE8rwqNKUuDt6msP+StAdTw5o87kHxQYyMj0ruqTcVP0BeZfqIrI7I+mp51mKecvVGKQu6CDnX93VmaljrW3/6XO+P+3+w0ooU6SG2dCNFhPxw+Qes+y+bwJKqW4xvML7YkUDcQNf9VcANdN3r2GArcAPdYKovUQvzl7284E6PikLEunWI2rIVWcnJgvDWVavCc+QIOLRqla/3WkqsM2JikHj1mmCwEymdugdfXasKJyfmyVcSz9WHTbVqMLPgNXt1feVJibeuZeXzF08DJQ1r4iOgPG/1sPjiaVA+o0sa1vJBRlNSKmX46b5PGZdFG/82WNZmmeitENarDq/CrpRdjJiSWlO/pljYciEjoyxq4wZ6UTWn/ThuoGuvK9n15Aa67CCTpcD8ZS8P2DJiYxG5aRMiN21GZmJ2DWirChXg+dVXcGzfrlAvtS6xzohPQNL160JIfNKtW4CaZ1/DYLe3h23duoKX3bZGdZhZWckDCBlJqUu8ZaSGEiEqx7pEwMw2ybGWB9YXXl3AuJPjmAd9TrM56FRByXMgpqmw9nnTBxMvTWR8GtSo5B+lcJR2LC1mOqGvHAz0Vq1a4fz587h//z4CAgKY7CdOnMAnn3yC4OBg3L17F2PGjMGlS5eQnp6OMmXKYOzYsejXrx/rSySh1Kdq1arYtGkTBg4cCFtbWygUCka417RpU4wfPx516yorglCjVIVVq1bhp59+QmBgIOtXv359TJ48GQ0aKEtoatu4ga6tpmTYjxvoMgRNhiLzl71xg5aZkIDIX7cgYsMGZMbECMISMZvnV8Ph1LEjzMzNtdqEPrHOTEpC0j83lQY7scX/8w+yUlLylNPMxga2tWtnG+xv1oLCxkarPfFO+WtAn3hzHAyrAY61YfWvz9U51vrUdvHWCkkIwf7H+3OlW2g7qzrWKZYpGHF8BCv/SI1K+C1tvVQoOantnNRPLgb6rVu30LlzZ2zYsIFtT91Ar1ChAgYMGIBx48Yxo/vmzZsIDQ1Fhw4dWN+cBjoZ3RcuXGDfUb/169dj+vTp2L9/P9q0UVZnGD16NP766y+sWbMGzZopU2v27NnD5p45c6YYFeerY6ltO7MsOlbgTa8akBpEMcLzF4AYbcm7L8faOPHLTE5G1LZtLM88IzJSENLCxwceQ4fApUsXmFlaihLekFhnpqYi+dYtJF5+TTx3/Tqy1CIB1DdC+7KpVSs7j71ObSjsjZu4SRQQeupsSLz1tEW+zGsNcKxLzqXAsZY31pRbPvPCTPSp1qfQcmw5sU5KT8KkM5NAJf6oUcWE6W9NF+2dl4uB3rJlS3z//fe4fPkyqlSpIhjot2/fhqenJzO06b95tYIMdFX/IUOG4MqVK2x+0gmtQV77hg0bFvsi4x70YqvQeCfgBrrxYmNKkvGXvXGhmZWaiuidOxkze3qoMpyNmrmHBzwGDYJL94+hsC5abV1jwjorPR2Uty4Y7FevIjMuLm8wzM1hU726kiWe2OLr1YO5k5NxAWeE0hgT3kaoHpMSiWNtUnAWuBmOtbyxXnl9JVbfXM0IC5e0WpKrNKT67vLCmioS0Bxrb60Vun5R8wsMrzNcayI6uRjoFM5Osr548QLbtm0TDPRXr16x0PWyZcuy0HUKVy9VqpTGhaGNgX706FG0a9cOcXFx+OWXXzB37lw8ffpUkguMG+iSqNE4J+EGunHiYmpS8Ze9cSBKBmvM7j0I/+EHpL18mW2YOzvD/YvP4dqzJxR2dkUWluYP+ftvPDhyBJXefRc+r8PAijyhxAOzMjKQcv/+65D4K4x8LiMqKu9VzMxApHiCwd6gASxcXSWWSP7T8Xtb/hhquwOOtbaakn8/jrV8MaRg5MlnJ2N34G542Hpg5wc74Wbjlu+GCsJ6T+AeVootLVNZxaVdQDvMbjYbtha2hSooP+Nx9erVLLyb2t9//w0vLy9hrtmzZ2MXlXMFmNeZDGBVGzVqFE6fPg13d3ccOnRIY/3evXuzXHDyTm/durVQ2VQdKAedDPRu3bqBwtlp/sjISCEHPSgoCPPmzcOBAweYEV+7dm2Q/KpccW0MdJLrjTfeYAcAlKdO4eyqMHitBc2nIzfQi6tBIx7PDXQjBseEROMve8OCmZWZidi//0b4ipVIffJEEEbh4AC3/v3g1rcvzB0cii1k4rXreNqzJ5vHpn07lFu+XJiTjPfIn3+BdZXKsHnjDaMwdumHTGpgoJDDnnD5MjLCwvPVg1XFCowl3r5BA9jWrw9LtR8WxVaeTCfg97ZMgSuC2BzrIihNpkM41jIFTk1sMq7JQG/i16TAzRSG9bWQaxh1fBSiUpSH2dXdq2N5m+Xwsss2rPNaID/j8bvvvmN52dTIaFX3Sg8aNEgw3jMzMzUM9E6dOmHv3r3w9vZmBG7qjUjWrl69ygzo69evaw2eykAfPHgwpkyZwvLAKUdcRRKnPlFISAjLRT927BiTm4xzbQx07kHXGg7eUV0DhjTQwy5dwvmnT9GiXTvGYsib6WqgsBeA6e7csDsjAzT+6FGELV/BPMeqZmZrC7c+feA+oD/Mi3jvEUFbysNA2NaskW2EZ2XhwbvvIuPpMzgOHYLSI0YI36U8fIhH7ysZZj1HjYTH4MHCd1ROjTz6xBZf1NB6KTRN+kp7+lQo60ah8WlBQflObRUQANsG9ZnBTmHxljnC36SQydjn4Pe2sSMknXwca+l0aewzcayNHaGiyXc34i6OPjuKQW8OYrnl1LTB+nnccww/OhyPYh6xMWScr2yzEtXcq+UriJw86GSgx8TEoFy5cvj6669ZTnrOQwDaKOWl16xZE+Hh4cyTr42BPnToUJZ/rp6DfvHiRcbcXtzGPejF1aARjzeUgZ7y+DEed++BJGdnlPnxB7hXrmzEWuKiFVcD2rwAirsGH5+tATI0E86cRdiyZUi+fVv4gsqMuX76Cdy/+AIWHh5FVln4Tz8hYt16RiBX6eQJjfJloadO4fqNG6jf8X24VygvrBGzbx+Cxo5jn0v/+CMc27QWvos9cAAvR40GzM3hv2Y1HJo2Fb4j4jdaRz3UrciCF2EgHRxQKDx514kpPu3ps3xnsX6jGnxnzoRt9epFWEmeQ/i9LU/ciiI1x7ooWpPnGI61PHErSOrEtET02NsDT2Kf4E3PN7Gu/TrYWNhoZaDTvHGpcayk27mgc2wZCnOf23wu2pZpm+eycspBJwOdGoXYL1myBJaWlixknv5/nz59ULFiRZZDTsY7edCpLBu1ggz0sLAwbNy4EVOnTsW+ffvQtq1ST+ShpzB3CvOnvHZq9P2NGzcwY8YMURceN9BFqUtenQ1loD8fNpx59qgpPD1Q5sdVGp44eWmRS1uYBvjLvjANSfd9wqVLCFu2HElXr2ZPamEBl24fMa+1pY9PsRcLX7MWYUuWsHlKLV0Kp3ffEebMD2tijCePe8q9e3Bo3QoWbtk5caHLliFi1U9sjgqHD8HK31+YL2zFSkT+/DMLjS+9YoXBQ+PTQkKReOWy4GVPfRioqU8LC1Yz3v3zgVqXpis2IAacgN/bBlS+npfmWOtZ4QZcjmNtQOXraOn7Ufcx6PAghCeFo2ulroyZnZoYrIkdfsHlBfjtv9/YWDOYYWTdkRhQY0CuQ3Q5Gujx8fEoX748K6lGNcqHDRuGkydPgoxtOzs7NGnSBAsWLGC57mz/BdRBd3JyEuqgq3vLyYHy448/sjrojx49grOzM2N0pxD7evXqiUKfG+ii1CWvzoYy0DPi4vD0q6+QcuGi8iK3sYHf3DlwMjJSKXmhabzSinkBGO8ujFuypBs3ELZ8ORLOnc8WVKGAc+fO8Bg2FFalS4vaAOWtJ164gOgdO+DUqRMcW2d7vNNCQ/Fi8BA4d+kC507va4TJFwXrpDt3kHjhIlICA+E7aybMFApB1hdffYW4w0dAYflVrlzWMHqDZ89B2qsg2NasBY9BX4ran1Sd0yMjmbEed/AQYvftE6a1rVcPfvPnida7VHLpa56i4K0v2fg60mqAYy2tPo15No61MaNTdNkikyOx6sYqjK43GnaWSkLYomBNBvr8S/ORkZXB5viw4oeY2ngqLM2zy7LKwUAvuiaNYyQ30I0DB51IYSgDnTYTFR6Ou19/A9ezZ4W9eXw1HB5DhxosnFUnSuaTFukFwNWmnQaS795lHvP4Eyc0Bji99x48hg+Hdfly2k2Uo1daSAgetm4DZGbCoVUr+P+0Sqt5ivKyL2jiiI2bkHD+HMwsLOH/4w8aXQPf7cBI76g8WrmdOzS+C126FBbuHrCtUwe2NfQTch57+DCCp04TmOGprrr3pElw7vKhyT7TpMZbq4uMdzKIBjjWBlG7QRblWBtE7QZZlLCec3AOPmjwAZqVb6a1DGdfnmUh7/Fp8WxMPe96+L7V93C1UVY74Qa61qosckduoBdZdcY/0JAGuuoF0CAqCjGLFgPp6UxhZFj4zpkNhY2N8SuQS6iVBvjLXis1iepE3mYK/447cEBjnEPbtvAc8RVsXodgaTMp5Xkn37rFan+rt2eDBiHh5CnYNW6MMuvWwszCotDp9IU1lUx72rMXku/fZ5E3fnNmC7JROP29uvXY4QJFEJAnW9Vor+Tttq5cGdblymrkzxe6OS06pIeFIWjSJCScOi30dmzXDj4zphs8PF8L8UV30RfeogXjAyTXAMdacpUa7YQca6OFRnLBDt8/jDHnx0ABBcbWH4vPqn+m9RqB0YEYdnQYXsYry7b6O/pjZduVKO9cnhvoWmux6B25gV503Rn9SGMw0Fu2bAnL/+7h5ciRIDZnajY1a6L0ypWw9C64jIPRK5gLyDTAX/bSXQipz56xOuYxe/YyA1TV7Js1g+fIEbCtWVPUYlF//IGwxUtAaScVjx/TKB2WfO8+FNZWsCpbVus59Y01GerEKK9eJo7kfty5M5PZa8IExlavahRx8LhLV/bRc+wYeHzxhfBdRnw8MhMTYeHpWSyPN+WYRW/bhpD5C5CVnMzmN/f0gN/s2XBo0UJrXcqho77xloNOTFVGjrWpIpt7XxzrkoP14guLseneJpZP/nOHn1Hbq7aozVPYPJVhux6qLG/maOmIxa0WwzPRk30mgjXedKMBbqDrRq9GMauxGOhUZi316VM8HzIUqY+UZRwsvL1R+scfShQjslFcFDoQgr/si69UKvcVvuonRO/aBWQo876oUXkvKltG/y1KExjU8zBYizKfsWCdmZCAlAcP2HPE0tdX2ErMX38h6Otv2Gf/tWvg0Lx59nd79iBo/ASYu7qyZ49dnTrCd2R0i2WST3n0GEETJmgw6bv2/BRe48dDYWtbFPUa3RhjwdvoFGOCAnGsTRDUfLbEsS5ZWG84sgHWAdYY1mBYkTaempGK6eenY3fgbjbe3Mwcy2sth5+DHzfQi6RR7QZxA107PcmylzEZ6KTAjNhYvBw9Bgmv89IZedy8eRos0bJUdAkXmr/si34BUMh0+Oo1iN6+HVlpacJENrVqwYsM8yZNCjUcybhMunYN0Tt2wqZGdbj16iXMQyHfz/r2g0Ob1iwc3NKreFErxo51elQUkv75Byn37sPl426abPKLFrHycdRYNIGaYU9M83EHDsK6ShX4zpoFcwd7rUAlzMJXrUL4T6uFiAercuXgt3Ch3nLjtRK0iJ2MHe8ibosPy0MDHOuSc1lwrDnWsamxGHdiHEbUHYEaHjUKVQj9zlh/ez2WXVvG+o4sMxKN/RqjeuXqhf5GKXRy3iFPDXAD3YQvDIMb6MeOoWWbNiAPuqplpacjZN58RP36q/A3Ct11HzyY3+QyvRb5y148cGRIRq5fj8hftwhh0jSLddWqLJSdiNu09ehmpqTgQYuWyIyJgVWFCii/d4/WY8VKLmesE86fR/yp06A0gtIrV2jo6PmgwYg/eRJE/FaZ2OTNzATVhLIUgVjYN3kLju3b5anbxOvXmec+7dnrOupUjm3YUFaTXpvcfrE46Ku/nPHWl45MZR2OtakgWfg+ONaF68hUeuSH9eQzk/FX4F9QmCmw6u1VeMvvLa22fPjpYUw8PRG9fXqjiWcTuPm4oZxnOZgrzLUazztpp4G0tDSW529tbc1Kw6k3qW07syw6fuFNrxqQGkQxwhOL++OeveDRqiX8J0zI9SM1ats2BM+cJYTzOnXsCN/Zszh5nBglG0lf/rLXHgjKBY/cuAmRmzeDwrRVzap8eUb+5ti+vUYZspwz0wFX4uXLjNhN3YgMnjWbHXoRv4P/mtU6IywzVaxDFy1iJewUzk4I2LhRQ+0P276NtJcvoXBwQIVDBzW88uodCc+QefMQ/Uc247xt7drwWzAfVmXKaH+RGFFPU8XbiFRsNKJwrI0GCp0LwrHWuYqNZoG8sM7IzMDMCzOx88FOVHKthO0dt2uUUCtM+DsRd7Dq/Cq0dm0NHzsf2FnZwd7Knhn7vEmjATLQqXl5ecHd3Z0b6NKo1XhmMaSB/mzmLCRs2cKU4f7ll/AaMzqXYhIuXMCLkaOY548ahfWSZ6u4YbjGg0DJkIS/7AvHmcjJIn/5FREbNgjXO42y9PeH5/BhcHr/fY0a4HnNGHfsGIK/m4700FCU/X07bGvVErqlvniJzIR4UezuhUudu4epY50zF51SBB692wHEEUAl1dz69C5UbYTTq8lTkBEZyfoq7OzgPfFbOH/0kc4iGwoVqogdTB3vIqrFJIdxrE0S1jw3xbHmWJMGqJSam40bqrlX01BIWmYaLBXZNc/z0lZIQggmn5yMsuZl4WrpCnsLe9RwrwFna+eSo1wd7lShUMDZ2TmXcU5LSm3bcQ+6DoHMb2qpQRSzhZBjxxD69TewsrVFhb/+zNejR3WOnw8ewuodU7Pw8WH1kG3eeEPMcryvATXAX/b5K5/Cz4nxO3zNWmRERAgd6Tr3GDoELl26wMyy4BehalDS7Tt40q0b++jSvTt8Z0zXO+olFWs6ALH08daIBCI2+ZR7/8GpU6dchnd6eDheTZrMwuZVzeHttvCdMSNfD7zewdRiwZKKtxaqMbkuHGuTgzTfDXGsOdb5aeDQk0NY9c8qzGo2C9XdqxeoqMS0RHx7+lsce36M9SOjfkbTGXi//PslR8EG2KnUth030E0ARDFboBfAmX370KhSJXg2bKgxNKeXisqvvRw9moWYUjOztWW1jZ3atxezJO9rIA3wl31uxWelpjJGdmJmTw8JETqYe3jA48sv4dKjOxTW1rkG0r2RfOdfRO/cAXMHR3iNHSP0oe9eDB3GDq9cunaBZalSekecY61UOWHxtFdvRs5HDPvEGJ+TuZ2VY9v+O0Lmz0dWUhIbR/j7zZ4Fh5Yt9Y5dURbkeBdFa/Icw7GWJ25FkZpjXRStyXOMGKyppFqXv7qA/mtrYYtDHx2Ci002h1ReGsjMysTya8sZgZyqDao1CENrD+Uh7zq6ZLiBriPF6nNaqUEUI3t+DwXyAobMm8vY261Kl842Pog8bu48RL0Oi6cvqLyU+6BBsgsLFaMnU+gr5gVgCvstaA+UIx6zew+rZU55y6pmTqFKX3wO1549Wchzfo2MusedP0TK/ftQODqi0qmTRlWyi2OtRC75/n086d6DEfwRb0Dp5Upm27xayuPHjEAu+eZN4WuXT3rAe8KEAq8FY7hXON7GgIJ+ZOBY60fPxrAKx9oYUNCPDGKwjkuNw4LLC/Dnwz8xsu5IfF7zc62FpDFUii09M52NaR/QnnnhydDnTVoNSG3bcQ+6tPhoNZvUIGq16OtOeRJTxMXhcdePkPb8ORROToxtOme+edRvv4EIr1S1oCl81HfWzDy9jWLk4X11pwExLwDdSWHYmbMyMxF34ADCVqxE6uPHgjBELObWvx/c+vaFuYODhpA0JvHSJdjWqaNxfROBHB1WWVeqhFLLlsI6B4OnIXfKsc7WPh3AEMO717ixsPTzE75g5fIsLDQOFunghkqxUUk21bPNKiAAfgsXaHAJGBLbvNbmeBsbIrqTh2OtO90a28wca2NDRHfyFAXry8GXUcerDiwUFoJgMSkxsLOwK5BM7krwFYw+MRrRKdFsHOWkL2+zHJ52nrrbYAmcWWrbjhvoBriIpAZRzBZim3PDAAAgAElEQVTyNNBjYhD0zbeIP34c5EHy/e67PKdMOHcOL0aNRmZsLPve5s1a8F+5Ehae/CYXg4G++hblBaAv2XS9Dnm8448dQ9iy5czrrWqUpuHWuzfcBvTPk38h6cYNvBw3HmkvXsBv8SI4d+wojM2IjmalwIiRXdtSa7rep2r+koy1tjoOXboUSdeuw2fKZHbIot6oRvvLCROQ9vR1OTZzc8ZF4EGRQhbZP4a0XUvX/Tjeutaw8czPsTYeLHQtCcda1xo2nvmlwJp+53x17Cu8SniF2c1mo6pb1Xw3+Dz2OYYdG4bHMUpHhbedN1a2XVngGOPRljwkkdq24wa6AXCXGkQxW8jvoUA3esyu/8Hp/Y4FesUpLPQFkcc9fcqWtfD1VZLHVdNkmxQjE++rGw1I8QLQjWS6m5W8pFRXO2z5CiTfvp1tmFtZwfXTT1j9awsPj3wFSI+IwIOWrYD0dNg1aZyrtJfuJC/ezCURazEao+fW4w86g64PYuivcODvXOz8xOgfMn8BordvF6a2ffNNZTm2gAAxy+m8L8db5yo2mgU41kYDhc4F4VjrXMVGs4AUWO97tA/fnP6G7amRTyOse2ddgfuLTY3FuBPjcP6VkleKwtznN5+P1mVaG41e5CyI1LYdN9ANcDVIDaKYLYh9KFBosHWF8nB67z1hGSKPezFqFBLPX2B/I69kqYUL4Pj222JE4X11rAGxWOtYHJ1MT2zslEOceOUKEi9fQeKNG8hKTMxey8ICLt0+gsfgwbD08RH+nvLwIaJ37kJ6RDhKLVigIdur6dNhbm8P564fwbp8OZ3ILfWkJQHr4uiMyrFRig5FVZRavqxAosu448eV5dhes/ubUTm2b76Gy8cfG03kBMe7OFeDvMZyrOWFV3Gk5VgXR3vyGisF1hTePv/SfBx5dgQ7Ou1AGacyhSqBSrXRmO33lAfRZjDDmHpj0Ld6X6N5vxW6CSPtILVtxw10AwAtNYhitiDmoUA/VF8MGcqmp3BPzxEjhKXIExUydy6itv4m/M1z9Gi4f/kFv8nFAKLDvmKw1qEYkk6dmZDAjHAyyJMuX0HSzZsgZvZcjWpVfvABPIYNhZW/f66vnw8bjvijRwEzM1Q8ctggzOtSKsYUsZZSP6q5Eq9dh22d2hrPKLqGFPb2sK5QQViSIileTZnKDHpVc2jTBr4zZ8DC3V0Xoomak+MtSl2y7syxljV8ooTnWItSl6w7S4n1q/hX8HXw1dDHnYg7qOxaOc+66RQxu/W/rYx4jtjeqXWt1BWTG00uMJdd1grXg/BS23bcQNcDaDmXkBpEMVsQ81CI3rEDwdNngEizAn75GXZ16+ZaKnLLFoTMmZtNHvdBJ/jO5ORxYjDRVV8xWOtKhuLOS9EaideuKb3jV64g+c4d4VrLOTcZWbZ167LyWo7t28G6XDlWdovyyslIVw9tjzt2HC+GDoVlQBn4zZkDu3r1iiuqQcebAtaGUGBmaioLfU998QLuAwbAc/QowXhn5dh27GDEgKqoDHM3N/jOmgXHNoYNCeR4G+JqMcyaHGvD6N0Qq3KsDaF1w6ypS6xfxr9E17+6IsApADObzkQVtyp5bvL0i9MYf2o8EtIS2Pf1vevj+1bfF1rCzTAaM/5VpbbtuIFuAMylBlHMFsQ+FJLu3GFGkWv37vkuE3/2LF6OHiOQx1HeZukfVhaY6ytGZt63aBoQi3XRVpF2FHkuVcY4GeQp9+5Rces8F6ESabYN6jOD3K5+A9hUraJB6JX6/DmeE19CYCA8R46Ax5AhwjzE3p10/Tps69c3iYgPOWIt7ZVTtNli9+/HyzFj2WDXXr0YgVzORnwbQRO+BhHJqZpL9+7w/noC87wbonG8DaF1w6zJsTaM3g2xKsfaEFo3zJq6xHr8yfE48OQA29i0JtPQrXK3fDf5IOoBI5ojo55aGccyjDyunLM80vsMg17eq0pt23ED3QDoSg2imC1I8VDIiItDxJo1zOBR1Y5OefQYL4bkII9b9SNsqubPKilGbt5XvAakwFr8quJGpL16lZ0/fuUKUh89yncCqhZg16A+M6rtGzSAVYUKMFMoWH/ydqaHhsLS21sYT2kYD1q3QUZ4OCxLl0aFw4dMwhjPS0FywFrclaG/3hRNEbF6NfzXroG5k1P29ZOVle1Np3Jsa9Yg/IcfhQgOir4g/gI6kNR343jrW+OGW49jbTjd63tljrW+NW649XSJdXRyNOZemsvKqv309k+F/u6JSIrAqOOjcCPsBlOIo5UjlrRagsa+jQ2nIBmuLLVtxw10A1wEUoMoZgvFfSiQIfRy1GjEHTwIq4oVUGbNGqHWMJWhojJsiRdek8fZ2SnJ49q2FSMi7yuRBoqLtURiaBg8ac+eZRvkly+Dalbn1yxLlYJdgwbMKCcvuWWZMnm+aKiGdeSvW1gueuUL5zXYuanGdXp4OCOKM+XDImPDWuprR9fz0XMtZ+m8V9O+A0VpeAweJBxEJt26haDxE5D65IlSJCrHNngw62NmaalrMYX5Od56U7XBF+JYGxwCvQnAsdabqg2+kD6wTslIgbW5tbDXjMwM7A7cjU4VOmnUUqcO1Pe7c99h76O9rL+FmQUmNp6Ijyt/bHBdyUUAqW07bqAbAHmpQRSzheI+FNKjovC0Zy+kPn4M62rVUHbbbxpl2chrGTx7NqK3vS5VZGYGzzGj4f7554We4onZB+9buAaKi3XhKxTcg7gLiC2dEbq9ZllPDwvLd5BV+fLKcHUyyOvVEw5+aEBWRgaS//sPiZcvM/I3Czc3YZ6wH35A+IqV7HO5XTth88YbxRVdduMNjbXsFFaIwMR7QM85ag6tW8N/1Y/CCFaObeFCRP+2TfibTa1a8Js/j/Ee6KNxvPWhZeNYg2NtHDjoQwqOtT60bBxrGALrzXc2Y9GVRajuXh0LWizIxfpOB9Vrb63FiusrBCX1eaMPxtYbC3OFuXEozoilkNq24wa6AcCWGkQxW5DioUBM2lQv2K1/vzx/kNJNHrVlK0LmzAEylQyRzp07w2fmDCisrMSIy/sWQwNSYC1mecrrTv7vHhKvXH5tlF8FRVXk2czMYF2lymuDvAHs6tUtkLMgZu8+BI0bx6Yq9f0SOHXoIEybePUqQhctZt52l+4fw6p0aTFim0RffWNtEkorYBMJFy7g1cRJoPJsAb9thV2dOrl6x588iaBJk1kKBTUqN0l56S49euj8MJLjbepXYPb+ONYc65KjgZKzU33f16kZqej0v04ISgiCk5UT/uz8JzztPPNU+MEnBzHpzCTmVafWonQLZtDbWxqGc0UuV4XUth030A2AvNQgitmCLh8KCefOgViOVaHE8WeIPG40MuPimIi2deqg9MoVRlGmSIzO5NpXl1iTTiikPOn2ndch65eRdO0a6PAmz2ZuDpsa1V8TutVnFQEofFi9kWcy8pdfmZfcoUVzuH32mfB1WnAwHrZSMme79uwJn6lT5AqLTuTWNdY6EdrIJ81MSkL86dO5aqYTcSZ5yol/Iz0yEq+mTkX8kaPCbhxatoTv7Fk6JcnkeBv5xSOheBxrCZVp5FNxrI0cIAnFMwTWkcmRmHNxDlr7t0bH8h0L3M3t8NuMPC48SXkAXcm1Ela2WQk/Bz8JtWBaU0lt23ED3QDXh9QgitmCrh4K5Gl61KUrspKS4D1pElx7KFnfUx49YkzalHtMzcLPF/6rVsGmSt5lH8TshfctWANSY00GCzFZq1jWqXxZVoryhDVnM7Oygm2tWtks67VrazBeZ6akMO+kekgweeDvN2wEMtTtmzVDmXVrNaaN3LyZpVUQKZfCOjuvil8HgNRYc53mrYGM2FgEdngPZtZW8Jk8GY5t2jCCwphduxAyew67dqmZu7rCd9ZMnfFvcLxLzhXKseZYlxwNlJydGvK+zsm5cj/qPqjkWt/qfTVy04MTgpmR/l/kfwwYNxs3LG+zHG966p8YVQ5XhtS2HTfQDYC61CCK2YKuHgoR6zcgdOFCJorn2DHw+OILQSzKW385chQSL11ifzMj8rhFC9mPW950p4HiYp0RH8+84oJBfvs2kJaWt0FuZ8fCgFWEbjY1a+ZrRAdNmoTY3XvYYU3Fgwc15nv2+RdsTfvmzVF62VLdKcfEZi4u1iamDp1tJ/T7pYzxPa/nHJX1Y+XYrl8X1nfu9hG8v/kW5g7ShgZyvHUGsdFNzLE2Okh0JhDHWmeqNbqJjQXrtMw09NrXC3cj76KWRy2sbb8WdpZ2gr4S0xLxzelvcPz5cfY3K4UVZjWbhQ7lstMMjU65BhJIatuOG+gGAFJqEMVsQZcPhZg9exB39BhKLVkslL9SycbI42bOQvTvvyv/ZGYGr7Fj4DZwoM7zNcXox5T6isWaDlKSrl5VGuSXLzNSNhWHQE69KJycGJGbitTNplo1DRbrjPgEJF1XGvcew4ZqGOvBM2YgautvbMqKJ0/C0ttLmJ4Y181dXDTqmZsSJrrai1isdSWHqc9LHnKqDED55+X++B0UKaLeiMwwYu06hK1cCaSns68s/f3ht2B+nnnsRdUXx7uompPfOI61/DArqsQlEWt65yffuQPb2rVzpb0VVY9yGGcsWFMd9IEHByIqJYoZ3ZRrnrNlZmVi6bWl2Hh7o/DVkDeHgP7lrH4iB93rSkapbTtuoOsKqQLmlRpEMVvQ90OBQmnoxyzlZVKL+uVXhMybl00e9+GH8JkxnZPHiQFRy76FYZ0WEqpG6HYFKQ8e5juzubt7dv54wwawrlQp1yGM+uCIjZsQOn8++1PALz8zAjdVizt+HNE7d7Ja5k7EyO7qquWOeLf8NFAY1lxz0mqADhzVy6rRcy546lTG+E7/ku/8i6AJE5D66JFyYYUC7oO+hOfQoZKUY+N4S4unMc/GsTZmdKSVrSRgTalslCpH/B4Jp04j+d9/mRItPD3ht3Ah7Bs3klapRjqbMWFNddCJuX1U3VFwsXHJV2P/e/A/zDg/A+lZysPnDmU7YEbTGbCxsDFSLetXLKltO26g6xc/tprUIIrZgr4fCpFbtiBk5iw4tnsbvrNmsRNSejC/HD0GmfHxTHTbunVResVyTh4nBkgt+qpj7ezszGqOK8PVlSzraU+VvAB5NQtfXyFc3a5+A1iVK5vrpJRKpoWvXcvmdOvTBy5duwhTEXnck27d2OecKQ9aiM67iNSAvu9rkeKZfPfYg4fwcuRItk+Pr4bDc9gwEGdD6MJFiNq6Vdi/TY0a8FuwANbli1eOjeNt8peUsEGONcda7hogZ0DCmdOIP30GRCacGRub95bMzOAxZAiLujMzN+2yXnK4r3/65yfYWtiid7XeQpm1y8GXMfrEaMSkxDAMKSx+WZtl8LD1kPtlWmz5pbbtZGmgx8fHY9GiRbh69SquXLmC4OBg9O3bF5s2bdJQ8JMnT1Aun7q0AwcOxLp167QC5Pbt25gwYQLOnDnD+jdr1gwLFixAjRo1tBqfs5PUIIoRQp8PBQoHffh2O2RERjLGY6pRbVW2LBM3JTBQSR73/Dn7bOnnh9KMPK6ymO3wvgVoIPz2bdzeuhUB8QlIv3kT6cHB+fa2CgjIJnQjg7x0KY2+FIaWERXFPOeqRoRZ9xs1BrKyWBk9qgOtahTqG71jJzPyrcqV42FQOr5S9Xlf63grspw+YsNGhC5Zwq7z8nt2C8852gwdSAZNnIiMsNfl2Gxs4DVhPFw//bTI9wXHW5aXSZGE5lgXSW2yHGQqWFOEUeL160g4rTTKUyhdLo9m7uEBh2bNGIEsO8jMymK9KOLOb9FCWHp7yxJHbYQ2dqyJxb3X/l6g8Pb2Ae2xuNViYVvPYp9h2NFheBL7hP3Nx96HMbxXcSvZ5M9S23ayNNBVhrevry/q1auHvXv3Fmigd+7cGd1ee/NUV1jFihXRuHHjQu+jBw8eoEGDBnBzc8NXX33F+i9fvpyxJl+6dAmV1AyWQid73UFqELVdl/rp+6GQ+uwZ85a7DegP546aZR0YedyIkSzfmRoZ8X6LF8GxtbKcFm/iNEBhtin3HyDu8GH2L+XevXwnIEObXoJkQNvWqwdLr+w88JyDnvbuwzzuFOlQdusWja+JuT8jJhrO770Hr9d1ysVJzXtLoQF939dSyGxqc9ChY9KtW3D58EONraW+eMF+gAZPncbuS1Wzb9GcRRUVdO/lpyOOt6ldPfnvh2PNsZaDBqgUavypU0ggL/n580KEpIbs5uYs19yheXNWStW6alUhVS7+7FkEff0NMsKVB5lUCcNv3lwhPVIOOhAjo7Hf16denMLEMxOZp/ynt39C01JNNbZHfx97ciwuvrrI/m5nYcfy11v6K9NZS2KT2raTpYGekpKC8PBwlCpVCunp6bC0tCzQQJ80aRJmzZpVpOuFDPsDBw7g7t278Pf3Z3M8f/4c1apVQ4cOHfDHH3+InldqEMUIYIiHAuUcmVlYaIiZFhLCCJbM6Ycrkcep9EjkcePGMYOek08UjmxWZiaSb91iP/xjDx/OO2xdoYDNG28IhG5kaOfM+6aXa8L5C4ysxXvSRA3dvxgxEnGHDgGWlqhy6SIUtraCYBlxcTB3dCxcUN5DpxowxH2t0w2ZyOSUVhLY8X3YN2kCr4nfIunKVYTMmoXMhATlj1AXF/jMnAGndu1E7ZjjLUpdsu7MsZY1fKKElxPWWampSLx2TcglT3nwIM+9Wnh5wb55Mzg0bwH7t5rA3MkpX51Q2lzQ118j4dx5oY9b//7wGj0qFyGnKMUaYWc5YE010I89O4buVZRlk1UtIzODhbwTA/zci3Pxx32lHWQGM4ytPxafvfFZifz9LrVtJ0sDXf1C0dZAJyOdmq2acVHYPUuh9O7u7vjkk0+wefNmje4UUr99+3Z2UODg4FDYVBrfSw2imMWN4aFA4U/klSUjnRjfbevUQdTPPyNk/oJs8riuXeHz3TROHpcHuHTgkXjlqtJTfuQI0kNCcvUiUjfr5s3wwNUVdXv3hlup7JB18rRTKJmZQiGMC120CBHr1rPP5ffv18iRjdm7j5XII487cQkobDghiJh7Th99jeG+1sc+5bbGi5GjEPe6lCClgFAqCHnUyVNEFRNUzblrV3hPnKh1OTaOt9yuhKLLy7Euuu7kNtLYsaYDR0rZobD1RPKSJybmVrGFBatYQRFCDi1awLpyZVHGGjkdItasRdiKFUBGBpvfplYt9lvRqnRpuUGar7zGjnV+glPZtT5/90GXil3Qs1pPZpRvubsFC68sZOHw1D6q9BEmNZ4ES4WlyeClzUaktu1KhIFOBjQZ29QotH3UqFEYNmxYofo+f/483nrrLaxatQqDBw/W6E9/Gzp0KKiPNqHy6oOlBrHQjah1MIaHQiQxuc+ezaQixmP/VT+y/0/hUS/HjM0mj6tXT0ke5+YmZosm2TczNZWRq5BRHn/0GDKio3Ptk+qKkyfOsV07dugRExeHkydPomXLlnBxcUHKo0cIX/kDC1cn5nzHVq2EOYhp//kg5TVOaQY50xFMUqkmtCljuK9NSJ2SbYW8ShQhlJWZgYBffhF+qLJybOs3KH+EpqWx9SxLl1aWY6tbt9D1Od6FqshkOnCsTQbKQjdibFjT7w5KQSS29fgzZ5AaGJjnHix8fFjYOhnlFC1kLtJpldekiVev4uXYcQJ3jsLREb4zZ8Lp3XcK1aMcOhgb1trqbN6lecwgpzahwQT0eaMP+/8UEj/+5HgkpisPbRr5NGJ5687WztpOLft+Utt2Jm2gP3v2DAMGDMCHH36IgIAABAUFMWI4IpYbN24cFi5cWOAFsXPnTpa7vnv3bnTq1EmjL/2Nctt37NiBjz76KN95Xr16Bfqn3ihcvnfv3jhx4gTefPNNvV6UcXFxjEW+bt26cDRQaDJ5gONWrULS4SPw/HkzFC7ZZR3SHj9G1LjxyHj5kunF3NcXrkQWUqGCXvVkDIvR6XTKhQtIPnECKWfOIiuP02rzgDKwadUatq1bwaJKFcEAyKB8sMhI3AgLE7BOf/YcYd2VoUr2vXrB6avhwjYp5Db1yhVY1a4NhXPJeaAaA85SyGAM97UU+zDFOShiJSs+HvQDU9XYM/CHH2FZrx7iV65E+hMl2Q6VY7Pv0weOnw8ssBwbx9sUr5S898Sx5ljrUwPpL18i5fx5pJy/gNSrV5GVnJx7eQsLWNV+E9ZNmrB/FiKIYDPj4pD6zz+wbtAAZtbW2b9BkpKQHhgIKzXy5cyYGETPmo2U06eFfnZdu8Jp5AiNsfrUj1RryfW+Pvj8IJbeWgpnK2dsbLWRsbyrWmBsIL658A2Ck5SExKXtS2N+4/ko41BGKrUZ9Tz//PMPWrVqxQjMycYqbjNpAz0v5WRkZKBNmzaMkf3+/fuoUIDh98svv+Czzz7DwYMH0b59e43pDh06hHfeeQfUh4zt/Np3332H6dOn5/n14sWLC1y/uOAa+3hFUjIybTXDpc3j4pClUMDvl19h9/gx20KGtTWCP/0UCdWqGvuWii2fIjER9nfvwvH2Hdjdvw9FurLepHpLLlUK8TWqI756DaR65yB3y8hAmZUrYRP0CnG1auFVr57ZQ7OyUG7uPGQ4OiKmXj3EvNWk2PLyCbgGuAbEa8Dl7Fl47d6DTAsLvPrkE9g9fgTXs+eEiegeD+7RI/f9LX4pPoJrgGuAayBfDZilpcH20SPY37sP+3v3YPWapC3ngDRXFyRUqcL+JVaogCw141pb9TpevQqfP3bALCsLzwd9iaTy5YWhXn/+CecLFxHVsiXC270NqHiLsrJAz0vP/X/D7HXIe4qvD4J69kRaAeS22srE+4nXQGxmLBIyE+Br4asxODEzEZnIxJaELXieoazQZGtmi0/tPkV5y2ysxa8ojxGBgYEYO3YsN9BVcBWUg54fpHv27MEHH3yA1atX48svv8wXee5B1+9NkfbfPYQPGgSHz/owD2/s4iVI2rNHKYSZGRy/+gr2n34iKp9Jvzso2mrEWpp86hSST5xkJ9aqvCthNjMzWNaqBZtWLWHTshUolJ0alT1Lu/sfbHIY2uGDBiPtn38Ae3vcnzQRdSl3/LX3jvL/zSxLVl5Q0VCR1yi5nsbLS8vSSRs5fgLzCpk5OcJz+3bGWJxy8RKiZ81E5utybLC2gtOw4bD7uFuuZx7HWzosjH0mjrWxIySdfPrCmqLpmJf8wgWkXLsKpKTm3oSlJazq1IF1k8awobD1gACtfnuRxz359GmkXrsO68aNYNMym9Wb/cbr14+t5fDlF3AcMID9//SnTxH2yaeMG8fc3x8eFFmZgy8q9e5dRE+ZgowXyuhKMxsbOI0fB7sc1YGkQ0O3M+kLa93uInv2S6GXMPnSZAx6YxDeK/MeFtxYgCMvj7AO5mbmGPvmWHQK0IxE1pds+lqHe9BzaLooBvrNmzdZaPns2bMxceLEfLHjOej6uqwBMhwfvd8JqU+fskX916+D/VtvIXLzZoQuWJhNHvdRV/hOmyZ7Rk8iioo7fITllCddvy7U/xQ0bmEB+0aNWD65Y9s2sPD01AAjdOlSRKxeww4uKp87y9igVS1q23Yk//svzOrXx8X0NLRs04bloPNmuhqQaz6b6SJS8M4o7D1271523zt/8IHQmbglgiZPQfwR5Q8bavZNm8J3zhxYqkXLcLxLzpXDseZYF1cDmUlJSLh4kZVAI5K3tGfP8pzS0t8/O5e8YUNW+ragRs+xzIREDXLLjNhY3G/UWPls69wZRI6pasS98WraNNjVrs1+31n6+QnfUZm14ClTlcTBtWvnuWxGfDwrVxm7f7/wPa3hM3UKK2Upp2ZK9zURx3X+qzOCE4KhMFPgj05/oJJLJay+uRo/3PhBgKXvG30xut5oxgBvio3noOdAtSgG+q5du1jeOOWjDxw4MN/rpDAW923btiEiIoKzuEt0pxEzKJXYIKPUd/p32Q/ukyeV5HGvSxPZ1a+PUkQe5+oq0cq6n4ZeZESwoiqHlvLv3VyLUj4WlSMhojeHVq1g7uyMjPgEJJw7C9uaNWHpmx1OFP3nn3j1zbdsDr9Fi+D8vmaNefq7Kb0AdI+QvFfgWMsbP5X0SXfu4Gmfz9iP5ISzZwXCTHoW+EyfLhAkcbxNA29tdsGx1kZLptFHKqzZ743Hj4W65ET0RmXRcjb6zWHXsKFQl9xSSy85zRM8Zw5zMtDvkrJblaRhqvaoS1ek3L0LuyaNEbBxo9bgkIxUfle9JV6/zhwUKgZ32lv0jh0ImT1HyI+3KlcOpb5fApuq8kmDlAprrZWrw46EyV+Bf2HBpQX4uMrHzAhXtQNPDmDymclIyUhhf2pVuhXmt5gPO8uCD390KK7OpuYGeg7VFmSgR0ZGwi0HA3hSUhKaNm2K27dvg/IFVLXN09LS2GdnZ2f4qhlCZMhTDvp///2H0q9LPKjqoFMOOoXBi21SgyhmfWN/KKSFhrI6meqlvMi7nhIYiBfDv0Laixdsu8R47P/TKlhXrChm+3rtSw+t5Nt3lOXQDh9mL8ycjU59icmeDiUcmjfTOLFOun0HTz79lLE8e02YAPcB/YXh6RERCJkzFw6tWrKXq7oHXdXJ2LHWKxgmvhjHWv4AU3mhp5/2RBKlp9DB25LFiN76G6u6oGrOH34I78mTEJeerlGhQf675zvITwP83i4510ZxsCYHBnnJyUNOrOtUEi2vZhUQAPsWLeDQojkrnVpQ2VR6JqU8eIikGzfg0v1jjRB3oYSkpSWqXLqoEZKefPcuLDw8ckX+iUUyIyYGjzp9wA4qvSdNgstHXYUpku/fx8sxY5D6UMksT4a997ffwOUTeaRBFgdrsXrUV/+QhBC42LjA2jyb/C8mJQZXQ65ixvkZiEiOYKJUca2CFW1WwNdBM4ddX3Lqah2pbTvZksStXLmSeQgzMzMxbdo01KlTB127Km9eyi+vVasW+5yYmMjKoJFxTRyJBi0AACAASURBVCzuVM/80aNHmDt3Lr755hsBpydPnqBcuXKg+uabNm0S/n7v3j00bNiQ1UMfMWIE+/vy5cuZ5/zSpUuoUqWKaKylBlGMAHJ8KIQsXIikG//AZ8pkBM+ahaQryvrBCgcHFg5FtTaNpVEIV9K1a4hlRvkRpOdg8Cc5Kd/UoW0b5im3a6Ikaku8dBlZyUlwfPttYStU4uRB4yas1qhdo0YI2Jx9XWqzXzlirc2+eJ/cGuBYy/+qYGHvu3cjZMFC2DdqiFJLloCeJ5GbNiF06bLscmx+fnCaOgXnY2KEEory3z3fQX4a4Pd2ybk2xGDNvOQPHyKelUA7zX4XkTMjZ6NcbUqXY3XJmzeHVRntGbXDli9H+I+r2JTl9++HdflywvSRW7ciZucuUESj++BBOolopFKUoa+rLbkPGgSv0aM0tkeh+8GzZyNmR7ajzLF9e/jOmskcPcbcxGBtzPsoTLZvTn+DY8+O4fMan+Pg04O4H3Wf1U4nA72lfzY/QWHzyOF7qW072RroZcuWxdPX+co5gdu4cSP69euH9evXM4OcjGzyplM9dKK+HzlyJDPi1Vt+Bjr1oZz1CRMm4OzZs2xIs2bNMH/+fHYIUJQmNYhiZJDbQ4FOg59/oSTys65WDWW3/Ybg6TMQs2uXctsKBbwmjIdb375aEZiI0ZW2fSksi06u4w4dRtzRo8iIjMw11MLbW5lPTkZ5vbowUzGUAuyEmOolU5hWhb+zc6tokvA1a1mou0PLFrD08dFWJNZPbliL2hzvrKEBjrXpXBCUw0k/tC3c3YVNJV67hhcjRoIIJVkzM0NM/fqoOG4sPPRcqtN0NC2PnfB7Wx44SSFlYVhTDnbC+fNCLnleDgCSw6p8eSGXnAxoRQGM6+lhYYje9T8WqePWry8cmjYVthJ/6hSefzmIfaYUG9ceyjKt+mosnH3774jZswcBGzfkyz0Us2cvgqdNY84MapalSilz2Y342VgY1vrSsS7XIc95vwNKUsCqblWxtv1aTDkzBXW966J/jeyIUF3KoM+5pbbtZGug61PpUq8lNYhi5JPbQ4FCuYPGT2AGcMDPm2FXrx7ooR25cZPyZDUri23f5eNu8JkyRW/kcfQiiD9zhnnJ448fF3JF1bGwDCgDp/btmVFOhwvJt24h4cxZeAwdomGgB8+Ygaitv7GhFY4cFnKtxOCaV1+5YV3c/Zbk8Rxr00Y/dNEiRKxbD4WTEzJjY7M3a2YGhzZt4D5wAOwkqLtq2lqU5+74vS1P3IoidU6s6bdOyv372bnk164BeZReNbOzg33jxixs3b5Zc1iVLpXn8pnJyciIidUgnEx98gSB73Zg/d0/HwivceOEsXQgELlhI+wa1GfEbTmZ1Yuyx6KMIT2YmZlpDI36/Xc4degA89cVamgfxFVEBLmsWVjAa/RouPXvBzOFoijL6nRMSbivCbddD3Zh6bWlWNd+Haq4VUFmVibzoOfEU6fK1tPkUtt23EDXE3Dqy0gNopgtyPGhQHlQFOJuV7eOxlbjjh1H0Lhxwqkp5VOVWr5MJ6FWtDB5tuJPnGD55ERoR+VEcjbrqlXh2O5tpVFeqZLwEIpYtw6hixaz7gG//sLCwlSNck4Tr12HQ8uWsCpXVrIHlxyxFnMt877ZGuBYm+7VQGGcge+8i/TQUOYZ8p46BcGLlyD9/n2NTdMPaLeBA+DYtq1R/iA1XYR0uzN+b+tWv8Y0O2F9+sAB1LeyQtbVq8xTTvd9Xs26UkXYN1fmktvWrQtFDnI19TFkKD3rPwCJV6/CsVUrlF6xXPiavnvYoiUyEhLg+nE3eH+rJJ815hZ74ABejhrNSs6WWrwYdnWUvw0pLTB04SJE/fKLID6F9vvNmweLHHxUht5fSbqvk9KTYGtha2iV63x9qW07bqDrHLLcC0gNopgtmMpDgU526YXj3Ol9RG7+WSBEsSxTBv6rfoR1hQpi1JJv3/TwcMQdPcaM8oQLF/I8vaYfxozk7e22zGiPP3EStrVqwv51fjlNTqQpj7soORI8hg+H5/BhkshX0CSmgrXOFWUCC3CsTQDEArZAZElhy5bDvlkzOLZpjaioKFzesAEVbt5E6sVLGiOtypaFW//+cP6wc4GhraatMdPZHb+3TQfL/HaSEReHuIMHEbHrf0i5cQNmmZm5uhKhrP1bTWDfXJlLrl7VRdWZnhOJV68h9fEjuOeoUPSkV28kXb3KOHAqnTur4QhIffaMzWdmaWn0ymaHDX37IfHSJSZv2Z07YFO5sobccUeOIGjSZGTGxLC/W3h5wW/RQtg3bGg0++P3tdFAIZkgUtt23ECXDBrtJ5IaRO1XNo28ZHpAE3tn3N8H2NZ9Zs5AzP/+ZORs1Bh53PdL2EusKI3YT+kBT0RvSVev5a5Rbm4Ou4YNXtcof1sIF6Nw/AdNm7ElnTt/AL/584XlWVg+hYo1bgSbatX04uHiL4CioC/PMRxreeJWVKlVeDdMS0P05Cmw8PVVetoyMoQpzd3d4da7F1w//TTPKg9FXZuP068G+L2tX33razXimaA0uZjduxF/7DiyUpRlqNSbdZUqyrD15s2Zl7gwAzro24mI+d//2BSVL5zXuO8j1q9H0j83WfSeyyc9CvS460sHRV2HPOVhy5bBwsMT7v2VOc45W1pQEF6OHYek69eVXykU8Bg6FB5DBsPM3PB1uPl9XVT0jXec1LYdN9ANgLXUIIrZgik8FFTGbuj33zNPednt29jDN3jad8LLiT57f/M1XPv00SpkPOXRIyXJ2+HDSL5zJ5dKqYSHfdOmytD1KpWZ4Z4eFgqvsWM1+j7+uDvLNScvVvm/92u1thj8xPQ1BazF7Lck9+VYlyz0Gd4nTuCN9RuQ/uAB++FeZutWxO3bh+jffxfSfkgrZra2cPnoI7j165dvbmrJ0p58dpseGYmwI0dw+9kz1O/XD64eHvIRnkuaSwOq0qtklMfu25ebUNbKCnGVK6F0587wbP+ORq64ajIqLxb16xZG6kZOANuaNYR1iOzt1cSJ7HPpn1axcPaS1KhMb8xff8G9f3/G80OHIGErViJizRpBDVT33W/hwjx1q09d8Xe2PrWtn7Wktu24ga4f3DRWkRpEMVswpYcC1eZUODkLpT+UhvsGZa63ijyue3dWni3nyTN7Uf777+sa5UeQGqispaneFHZ2rM44GeWU62XuYM++fj5sOOKPHmUkJOyU2sFBGEYMq7QWhb2rM7WLwUiqvqaEtVQ6MdV5ONamimze+1IZ6I0dHJC8ZQus/MvAd8Z01pm4MqK2b2cROxlRUdkTmJvD6Z13WJ66bfXqJUthMtoteQfjj59AzJ9/sprWKlIwMycnOL39Nhzbt4P9W2/J2gMqIzgkEZW8ucQ0ToZ5Xr81iD+Hou4yGzfG6atXWflEZ2dnpL14wSo2WJUuLchBeeRPe/Vmn72+/lrDg5wWEoqEM6dZfXNLf3+DOggkUZyISeg33fPBg5Fw8hRsatWC/0+rhLzz+DNnEfT118iIUNbhpjB/vwXzixxlKUKsfLvyd7YUWjSuOaS27biBbgB8pQZRzBZM/aEQd+IEorZuRSLVBH1dcoNOTEstW8rqYpJRr/KU00szZ2Mlzdq2ZfXJs+LjkHDuHLwmTICVv7/QldhDg6dOA9UXLbNhvdGyJ5s61mKue1Pvy7E2dYQ195eL7TktTeMQknJKiVjOwtMTMDdHznJMdo0bM+Z3ymk3RTZduV0N7MD4n38Q/ddfiN3/t5A7m98+KI3LoXVrZqxTKpfCxkZuWzZ5eYknJ+7gIWaUU760ymmg2jiVVSWj3On9TkJki+q+bl6/PiJ69UZ6cDBcPv0EvtOmCfqiA5z7DRrC0s8Pbp/1YSksvIHxED3u3oMZ4bb16yFg82aNUHYqJ/dywgQknr8gqIsOK71GjSo0dUAX+uXvbF1o1bBzSm3bcQPdAHhKDaKYLZjyQyEtOBiPO38IIkqxqliRhXmmvzbCKUeTwp2EOsJqSqMfsaxGeft2LD+LPN9k6L8YPIT18p40CW59lCfW1CjsMPn2bZDhb8w/jEwZazHXfEnoy7EuCShn77EwvF9N+w7R27ezARTqSsZB5PoNLCxWvVlXrswMdaf33jPIj9SShVru3TLP6u7diPnzL1CZKI2mUMC+WVNYtG6Dhxcvwu/JE6T991+uSSiFgSqAOJGx3rIliEyMN8NoICs9nR3qx/y1G3FHj+aq9EKeW7rXiMDRpkYNdjiW+uIlUgMfMuzU7+uIHp8g9elTWFWsgAp792psiKJkyOHAm6YG6LdZyNx58Bw5Is9ytVkZGYhYuxZhy1cAr4n4qFa63+LFek//KewZzrGVnwaktu24gW6Aa0BqEMVswZQfCsn37uPF8OFIe/4cnqNHw6XbR3gx/KtskhA1RVH4F5UjUjg5sh9GxALq/vnnQg8qbXS/cRPQA929X1+N2qBi9G3IvqaMtSH1aoxrc6yNERXdyVQY3qkvXrB0n+Q7/yJg22+Cl5xKOoZ+vxSJFy9qePQsfHzg9tlncOn+sUbKju52UHJnzohPQNyhQyxXluGQo9GhifOHH8Lp/Y6w9PLSMNrsaOzhw4zxm6LBcjYza2sWFcGM9datuRGnh8uM1Sq/e5cZ5TGUVx4errEqpbw5tGkD586d4dC8mcZBWNDkyYjZsRMKJydUOnMasYmJOHnyJAtxT9/+O0tRYYS0bdroYSemuwTdazC3gPP7Hdkm6aCSCOTSQ0LYZ9K/76yZcGrfXm9KKOwZrjdB+EKSaUBq244b6JJBo/1EUoOo/cqmweJe0H6pXEnUb9vg/vlAxpRO4WDBM2awlyDVJVd5yokdldrDlq0Y+zF9Lv/XnxpT00Oc/m7u6ChGxUbTl78AjAYKnQvCsda5io1qAW3xpgNGdcbirNRUPGz/Dij81qZiRVb+UZ09WuHoCNdPesC1dx+DkygZlcKLKQzhQMZ49J9/Iu7wEWQlJWnMaO7mxkqGkmFuXbWqRtpBflinhYSwuchYp7xklUdQmNjSEvZNGjOjg9K2LFxdi7kLPlxdA6T/2D172EFLyoOHuZRjW68enD/4AE7vvgNKnaMqLxTdoB51F7F+A0IXLmRjS//4IzLq1hEMdBcXF65wCTRA6T6PPuzCUh6du30Ev1mz2KzpUVF49e1ExJ84Iazi2vNTltevsLaWYOWCp9D2Ga5zQfgCkmlAatuOG+iSQaP9RFKDqP3Kpm+g56ULJXnIEJbPVe5/uzRKnL2aMgXRf+yATc2aCPh5MxS2tmLUadR9+QvAqOGRVDiOtaTqNPrJioq3Osuzx7BhcO3VE1FbtiJqyxZkREdn79vSEs6dOsF9QH9YV6xo9PowVgFTAgNZ+HrMnj3s/aPemGe1bVuWh+xAXAD51KAmrC/89hsafvAB3EqVynOrZPzFHTnKjPUE8sqrldtjA16XBiVj3fHtt5XcBLyJ1kBmQgIrv8qiHy5oRqHQZJYBZZhRTv9UvDVUISZk1myGC7Guq7y41J9SHKhcmGOHDnB46y3EqHnQuYEuGp48B8QeOIigCRNAh5M+M6bDtXt3oR/9Noz6+WeEELFwWhr7Ox2QUZle63LlpBEgn1mK+gzXqVB88mJpQGrbjhvoxYKjaIOlBlGMFCXxoRC1bRuCv1MyHJf9fTtsa9USVEbEIlRCzRR/sJRErMXcC6bUl2NtSmgWvpei4k2pO3QgSSzvAb/+InhV6e/ha9Yy5vCchHKUG0tkSsQMzQnlCseGPHOx+/YzI45KbuZstnXqsHBnpw7vMs9qzkZRXworK+HPUVFReNH+HVgkJcHl424ahGF5SUMHLXHHjiuN9XPnGPeKRjMzg229usyzThFllr6+hW+qBPeg6IeE8xcYnnFH8oh+cHaGU8f3mFFu8+abTFPq9wkdnjxo0ZIdmtCBjP8PK/PVZlHv6xIMj1ZbT3n4ENH/+x9LVczrGZZ06zZejhnD0iMZfnZ28J02ld2numoca11p1nDzSm3bcQPdAFhKDaKYLZTEh8KrqdNYbWCrChXg/e23cGjWVIzKZNu3JGItW7CKKTjHupgKlNnw4uJNnqOcP1SfDx2G+OPHWYnIrLRUJN++o6EVKl3kPmAAHNu9rRE2LzPV6URc8s7FnzrFQtjjT54SvHGqxYhxm4jBmGe1bNk8ZYjYsJHVxqbDYioRpWphly8jvM9n7KP7oEHwGj1K+I6IUONPnoR9kyYwzyMkmlK+4k+cRNyhg4g/dVojnUE1ic2btZTGevv2GtVKdKIoGU2afO8ei36I3bsXxACu0SwtWY1xFv3QogU75CdSOMpDp5QR/9U/aXR/PmQooFCwqBQKec+vFfe+lpF6DS4qHby8mjgJLp/0gF2dOqB75dXUqYj7+4Agm3OXLqxML5XclbpxrKXWqOHnk9q24wa6ATCVGkQxWyipD4WcXgkxOpNr35KKtVzxKo7cHOviaE9+Y6XGO+XRYzx67z2mCCIZ81+7BomXLiNiw3pWV1i9WZYpA7d+feHSpYtJpQSJvQpYabTbtxHzvz8Ru3+/ZooAEU/Z2cHx3XeZYc6qgygUBS7x7IsvkXD6NAt1r3TurMB9Evn0KW7+tBplIiPgM3gwMyZULe74cbx4bfyVWrKkQOOPGfOnTiuN9RMnWZWTnM36jWqvjfV3YF1etyG+YvWtj/5UR5wMcmLWT7l3L9eSyugHyit/N9eByIsRIxn5H9Utr3jyBCP4U7W8DsTy2o/U97U+dCbXNSLWr0fowkXs4MRv/jx2eEI4Rf/+B0LmzBEOs6zKl2ch7zaveYuk2i/HWipNGs88Utt23EA3ALZSgyhmC/yhIEZb8u7LsZY3fmKk51iL0Zb8+0qNN/0wTThzFhGrV8NjxFewb9hQUFLi9RsIW7ECiZcvAWnpwt+pZJRrz54sj93CzU3+StVyB1TOM2a3khwsNTBQc5SZGezfeosZ5ZTrnZPThEpqxez+C3GHDsN/9WoNIr7oHTsQsnARqy5CZaIsvb3Z3AVhHTxjJqK2bmX9Khw+pOEBjz97FumhYSxiLGcKV2ZyMhLOnmUGJYXDZ8bF5TbWK1WEY7v2cHznHVhXrmSy6Q10UEGh6+T9Tjh/PhfZHlV8UeaVd2K1xxMuXETs33/DY8hgDX3HHjiAl6PHsPKr3pMmssowYpvU97XY9UtS/5D5CxC5cSM7aCm/Z7fGPUIVgSjkXXV/U4SE98Rv4dKjh2T3Acfa9K42qW07bqAb4BqRGkQxW+APBTHakndfjrW88RMjPcdajLbk31efeIf/tBphS5fCqlJF5r2N3f83MuPjBSWa2djApWsXuPXrB6syZeSv3Dx2wIy41+RglI9MdeXVG9WqdqHSaJ06CYZ1XoqIPXgIL0eOZF95T5kMt169hG6ZKSnMy56TLK4grCn0mgzx5H//hc/EiRpLspSFY8dY+HXlSxc12MPVO1J4PhGYxR48iPgjR3NFAlBfq4AAFgJPxrpN9TckM1IMdbGoWPXJKCfSN2L4Vm9UdsupQwfmLSevuSodJP70aTz/4kvW1XPMGHh8+YUGfhkxMRqec7H70+d9LVY2U+wff+YsS+dxbN061/bong+ePRsxO3cJ31FEjO/MGZJU9uFYm94VJbVtxw10A1wjUoMoZgv8oSBGW/Luy7GWN35ipOdYi9GW/PvqC++s9HQ8aN0aGWHhMPf0QEUiyUpLQ/T23xH5889CHWGmUYWCkY65DxygQcQpV21nZWayMH8izos9dCiXEUeeN6f3laXR1I1WVhf73j2QR5U8ruqs0UTGd/+tpsyz7jHoS7j17VuoeoqCNeF2v8lbzDNu16QxAjZu1FgnZO48WJUrC4fmzWGpxgxP4xIvX2b7Ja8y4Z6zUX9WrvSd9rB9881CQ/cL3aAeOyTfv4/Y3bsRs2ev5rVLMhCrfosWzFtu36olUv79lx1WqBtvdO0/aNYcZIg7fdAJpRYskFT6omAtqQB8MhD3QOj8BfCZMQNWpUuxCgzB074TUkIsS5dmIe+2NWsWS1sc62KpzygHS23bcQPdADBLDaKYLfCHghhtybsvx1re+ImRnmMtRlvy76tPvFOfPkXEuvWwrlQRbp8pycqokceXcjWpBnfqQ81Qb8q5JuZ3YoAvLPfa2NCgfHwKQ6c85PSgV5riqcjBPuzMjFvyTuds7FCjeQtkREWxkk3l//yfRpeUBw9Aea3q9ekL0kFRsSYjkkK2qfY2yapq6eHhzMikRiRYfnPn5Lk8eZmTrl9XGuuHDucqE0eDLLy9WSg/Get29eppvSd9Yk5RBjH79rEQ9pS7d3MtTSR5rF75e+8JVQ2e9OqNpKtXQeHtFQ4d1IgYIFI+IvqjqAKpW1GxllqOkjofcRU9+bg7O2Cj+4ZC3+mQLeXxY7wcOxYp/76+fiwt4TVmDOPiKGplC4616V1lUtt23EA3wDUiNYhitsAfCmK0Je++HGt54ydGeo61GG3Jv68x4E3G37P+A6BwcWGh2mSoJ164oKFcCv127z8ATp3e1ygdZmwIkKeU8oqJhT35n5t5G3GsNFoHwYhTkcRR2LPHkCEaP9RfTZmK6D/+gIWXF/uRn1c5NW11IDXW8afP4PnQoYxp3m/xIjh37CiIknz3LkIXLYZ982bMYFURnVE0AZWMUxnrqnJU6nswd3dn+fNkrBOHQX513bXdd3H6UaRC3NFjjCeAcu2RmakxHUUBMLK3Tp2A9PRcByYh8+YjctMmNqbc/3bBplq14oij9VipsdZ6Yd6RaYCeAy/HT2BkjXRtlFqYHSFBxnvogoWI+vVXQVt0AOk7b67wTBCjRo61GG3Jo6/Uth030A2Au9QgitkCfyiI0Za8+3Ks5Y2fGOk51mK0Jf++xoD38+HDWc4ysVaX37cX1uXLI+n2HURuWI/YAwc1jCIiKXP9rA9ce/SAuZOTUQBA4cpkrFIIO5WXy1kv3MLXV0kO1vkDtrecLezHHxG+fAX7c9k/ftcIeU0JDERGTCxsaxc/BFwXWGcmJCDh0iXY1a2rcXig4hugPQVs3cK+VzUVEzkL4b97V2msHzyE1MePc+mGDiSo5rdj+3aMNE+9rruuwBdSEqhe+aFDoD2qN4WjI2NfZ3nldesi8coVhMyciZQHD1Fm82bYN8omRkz+7z9Wy97pvQ4sCqKoXlKxe9UF1mJlKOn96fqO2bWLRYaoH6yprn/iLHg1aTIyY2OZqiiKpNSihbBr0ECU6jjWotQli85S23bcQDcA7FKDKGYL/KEgRlvy7suxljd+YqTnWIvRlvz7GgPeGfEJiP79d6S9eA6fqVM1lBq5ZQuSb91mxGNZSUnCdxQ26vLxx3Dr+xksfX31DgTzev/7r7K+9b59yIiM1JDBzM4OTu3awbnLh4yNm8LzyfBLunGD/Vi3rlBB6J908yaedO/BPhPzvSd5pXXQ9Il16OIliPzlFyWx3LmzMLOwEHYUPGs2Uv77D/bNm8P984EsnJ30mfrwoeBZz6s0mcLBAQ6tWzNj3aFZM8lL86U8fMjC12OoXvmrHCkJFhZsTWLVJ7nN7e2F/dC4R+93Yp+Jndt3+nc6QE/clPrEWpxkvHfoku9B6RLE0J8ZE4OXY8Yi6Z9/lIpRKOAxfBg8Bg3SOs2DY21615TUth030A1wjUgNopgt8IeCGG3Juy/HWt74iZGeYy1GW/Lva8x4p0dE4GGbtqBcbDLEzR0dEfnLr5rGsIUFnDu+B7cBAySvL5wXusr61nuYt5w8pppWuRnsGjeCM4Wwt2vHck9VjfK4H3X6AOmhoXDp3h2+M6YL35FxGr5qFRyat4BNjeo687LqG2viFkh98kQDF9pr4NvtkPbyJawqVECFfXs1VEjeatIbjYs9dJh5sKlGfM5mZmvLeAmcyLPeoiXMHbJ1LeaupGuMDljIME++cyfXUJuaNVn0g+N7HRC3bz/ra1mmjEbIMg16NmAAyyencGb1+vJiZJGyr76xllJ2U54r8dp1PO3dm0UFUfRFwJZfWWpE2PLliFi7Tti6XePG8FswXysmf4616V0xUtt23EA3wDXyf/bOAzyqYovj//TeE0JCgFAChF5CL6F3BDuggAXFgqCiIKAi+mwIKkWfqAiI+kRRRFF6711aQieQEAJppPfkfWdClmwSyE4yd/fe3Znv49Nkz5058//dvZuzM3OOaIg8U5APBR61tG0rWWubH4/3kjWPWtq3VTPvxKXLcPPjj5nIgR9/xAJfqrtNq9ZUd5iSzpVuLt26sRVZ544dhQa57Bzy5i3F55D37i13Dtm+Xj2Wgd1j2FCWCIq+UKDt2g4hIXr+XRpxP1s5prrvIbt26q0qG+NOUgNrKjkVO30G09HzgQfgP/0N3dQpoD/fuQsL3L3HPM4CY2pU851K06Vt2MB2IJQL1u3t2ao2Beu0wl7Z0Qe6h6hsHAXl6bt3AwUFel3aBgbAY1j5IwlRo0azZHfWzs4I2bvnruXmjMGysjHUwLoyHy3xdcrsHvvaa+zLvdpLvoVr1646GeiYTOy0abovIG28vRH48cdw7d7tnlJJ1uZ3J4mO7WSAboJ7RDREninIhwKPWtq2lay1zY/He8maRy3t26qZN20JT9++gwXGdDazdLIwCqwoWKM/arNLtofexuHYtCnL/O4+YECVg2C2Hf3IEZbsLW39hnLnkGmbuvuQIWzLM62ylpwtTlq+HAmLvwYF9bS1m8qglbTkX39FXmwsO7/s0KiR0C8RDLkT1cSazulToEy7IkoaBe1Xn3qa/UiBe+nScQXp6ToGaZs2s5V1OvtdNmkblThz6dwJ7v37s7Prtl5erD92rvzwYZZRn/FMT9eTjFbt3QYOYMnpaFWdvhCoNXeuXrBPuzfiP/8cbn37oMZrr4HyIai1qYm1WjUylV/0RVT6zp1sl03pVpSbi/xbtxA7dZpekkyfZ8bDb9Kkckh2FwAAIABJREFUuyZLlKxNRVK5cUXHdjJAV47VXXsWDZFnCvKhwKOWtm0la23z4/FesuZRS/u2WuRNwdal++5jJdmcwsLgN3kSkpYuY6uipRtl2KYgz/OhB9mqpyGNVuXZOeQ1a9g2bL1G55DDw1lQzsq+WVmxwM/awUFnRmfmb7z3H/ZzrQXzWaColqZ21iwx4PfLkbF7D+qu+F7vnP6t337H9Zkz2a6EwLlz4di4UXEgvXkLC9YzKOt/mZVw2NjAuUN7ODZqzAJu+nJEr9nYwKVb1+It7L17sy9TSsYhu4APPoDnA/frLqHVfzojbO3oqBakd/VD7axVL6CRHaR76/Ijj8Bj6FB4P/kkEpcsQcKiL3RfQDm1bo1a8+aCnmllm2RtZFhGGE50bCcDdCNAKzuEaIg8U5APBR61tG0rWWubH4/3kjWPWtq31SJvllTt0ZFAURG8Ro9GzbffYiByLl1iW99pC3zpTOrWHh7wGj2KlXCz9fUtB60gNRWp69azc+W0hblsc2zevPhc+ZDBsPX2Rt6NG4j/fD7Stm6F/+uvwfOhh3SX0Bn16AkTWCIzj/uGwz6o/B/UprprtMKavvSgjP6lM57HvPIK0tatBwXdjfbt1VvZzjp5ktnnnDvPtsHTSnzZTPqlNacdFnSmnHZB2Pn7w7VHD93LlCvgXLfusALg89wE+L34oqlwVWtcrbCu1iTN6OLr77yDWz+vZDOq8fpr8Hn6aWQeOoRrU15jeSuoWbu7I/CD91lW+NJNsjajG+H2VETHdjJAN8E9IhoizxTkQ4FHLW3bStba5sfjvWTNo5b2bbXKm4LxxG+XwPeFF/SC4JzLl1km8MKUVNxatUpXwohIUUZxOivu/eQTsK9dm50/ppXy9C1bQdtLSzeqO05ltGh11b5hQ71gsSAtDee7dGVBIJ19rvPN15q4EbTKmsRN37GDrZYXpKch6LPP9PSOGjmKHXdwbNUS9VauBPGhoxFpGzewIxBF2dmwrVkTHsOGMaaUM+B8z54oiE9gibqCf/pRrz8K8OlLmcrOsqsZupZZq1lXpXyjL/uuv/kWO/JRb/Xvuh0/+cnJuP7GdHb/lzSvxx5Djamv63buSNZKUTFdv6JjOxmgm4ClaIg8U5APBR61tG0rWWubH4/3kjWPWtq3NTfesTNmstrDNr6+qLt8GTJ270bi8uXIjy1VNsvKigVftFpaulk5OsKNSqNRKa1OndhKLG13L0hORp0ldzIs0zXRzz2P/IQEdg7d58knNHEjmBtrEp2teHfuwrYCuw8ejFqfztOxoIzxdPTByt4OXqNG6ZWtopVJyshOK/KUsI92RphTM0fW5sSnornQkQ0q11g2uWR+WhpSVv2Gm59+CuTlsUsdmoYi6NNPWeUAydr87gzRsZ0M0E1wj4iGyDMF+VDgUUvbtpK1tvnxeC9Z86ilfVtz4k2J2agsGwXUtAIa/OsvxefE8/KQun49Epd8x7Kol21Up5y2sLsNGKBXrosyKlOATq3htq169dYLc3NhbW+vqRvAnFiXCE8cMvfvZyvlLp06siRvJa10ffL6f6/VO9OeeeQIsiMi4Tagv0GlrDQFGpBBm9aA3cVfltn9tdfg//ZbbNcP1UzPi4lh1pRXo+bsd1DUvTt27NiB8PBweHp6msnMLXsaomM7GaCb4H4SDZFnCub4Yc8zf0uylawth7ZkbTmsaabmxpu2Nyf/72c4Nmmsd7aYMifHL1zEkoul/rMO+UmJcOvZk62Y55w/j9T1G+A38UW91SvadhrzwotwatMGNd96E3R2WcvN3FhXxiJx2TLc/Ki4TJ/viy/C76WJlV1iNq9bGmuzAVdqIpQb49LQYcVn0K2tQV8yUQ6N62+9jbT163WWTkOH4ETHjujRr58M0M3kRhAd28kA3QQ3hmiIPFOQHwA8amnbVrLWNj8e7yVrHrW0b2spvJN/Xom4d94BbG0RtGAB3Hr3YvAoEdOVMWMrDOJodZa2nNrVrKl90Gb4ZUxlUCivQObRY8i7FgPaJUErkJbSLOV9bc48KVli0vLvEf/ZZ6xsZI3Jk9l06ejGrZW/4MaHH6IoJ4f9LqdGDdSa/zn82rQxZ0ksZm6iYzsZoJvg1hENkWcK8gOARy1t20rW2ubH471kzaOW9m0thXf0hOdYoiWqd03b1UsSgBUVFOB8eE8WiHs++AAC3ntP+1DvMgNLYW22ADkmJllziKVyU0qIaR8UxJJcljTaKZR76RJip89g/6Vm5eyMwA8/hPsA9ZR2VLm0qnVPdGwnA3QToBYNkWcK8gOARy1t20rW2ubH471kzaOW9m0thTetRqVt2YKCxER4jRypB45W0Smzd0Ul2LRP+M4MLIW1OTGr6lwk66oqp43rKMlh9qlT7Ax6/MqVyKIShLebzzPj4ffyy3pJEbUxK+lliQKiYzsZoJvg3hINkWcK8gOARy1t20rW2ubH471kzaOW9m0lb+0zNHQGkrWhSmnfTrLWPsO7zSBt82bETHyJvUzJMD2+XowTc+bA/6+1QEEB+71Ll84InDcPtl5e5iuEGc9MdGwnA3QT3CyiIfJMQX4A8KilbVvJWtv8eLyXrHnU0r6t5K19hobOQLI2VCnt20nW2md4txkUZmbi5ty5uLXqNwSv+hXZNWqwLO6dPT2R8uZbyI+PZ5faBgYgaMFCODVvZr5imOnMRMd2MkA3wY0iGiLPFOQHAI9a2raVrLXNj8d7yZpHLe3bSt7aZ2joDCRrQ5XSvp1krX2Glc0g7/p1VvqxNGunhARcf3sWso4eZZfTufWas2fD8/4RlXUnX1eRAqJjOxmgmwCuaIg8U5AfADxqadtWstY2Px7vJWsetbRvK3lrn6GhM5CsDVVK+3aStfYZGjqDEtbdmjZF4pNPwX3wYBTl5eHW//6n68Jr9Cj4v/GGXqI5Q/uXdsZXQHRsJwN04zOEaIg8U5AfADxqadtWstY2Px7vJWsetbRvK3lrn6GhM5CsDVVK+3aStfYZGjoDxnr7djRftQq5h4+wy2jV3MrBHnGz3tGVYnNq3Rq15s+HnX8NQ7uWdiZSQHRsJwN0E4AUDZFnCvIDgEctbdtK1trmx+O9ZM2jlvZtJW/tMzR0BpK1oUpp306y1j5DQ2dQwrqzlxc7g+7QsAFqf/MNy+KeHRGBmJcmIe/aNdadja8vgj7/DM5hYYZ2L+1MoIDo2E4G6GYAkWcK8gOARy1t20rW2ubH471kzaOW9m0lb+0zNHQGkrWhSmnfTrLWPkNDZ1CatStlcbeygq23t+7y/ORkxL72OjL27Cn+na0t/KdNg9fjj8HKysrQYaSdERWQAboRxVZqKNEQefyUHwA8amnbVrLWNj8e7yVrHrW0byt5a5+hoTOQrA1VSvt2krX2GRo6g8pY3/p9NdK2boF97dpIWrpM1637fcMQMHs2rJ2cDB1K2hlJAdGxnVxBNxK40sOIhsgzhcoeCjx9SVt1KyBZq5uPSO8ka5Fqqr8vyVv9jER5KFmLUlL9/UjW6mckysN7sc4+cwZRj45k59AdGjeG7wvP4/qMmSjMyGDDOzRpgqCFC1jwLpt6FBAd28kA3QRsRUPkmYL8AOBRS9u2krW2+fF4L1nzqKV9W8lb+wwNnYFkbahS2reTrLXP0NAZ3It1bkwMYiZNQk5EJAI++ACeD9yPnEuXEDPxJeReusSGsPbwQK25n8C1e3dDh5R2CisgOraTAbrCwCrqXjREninIDwAetbRtK1lrmx+P95I1j1rat5W8tc/Q0BlI1oYqpX07yVr7DA2dQWWsC7OzkbZhAzyGD9d1WZCegevTpyNt06bi31lZwW/yZPg8+wysrK0NHVraKaSA6NhOBugKgbpXt6Ih8kyhsocCT1/SVt0KSNbq5iPSO8lapJrq70vyVj8jUR5K1qKUVH8/krX6GYnysCqsiwoKEPfRR7C2d0DS0qVAYSFzx7VvHwR+9BFsXF1FuSf7qYIComM7GaBXAUJ1LxENkcefqjwUePqXtupRQLJWDwulPZGslVZYXf1L3urioaQ3krWS6qqrb8laXTyU9KYqrG9+/jkSv1rMtrf7PvccEr/6CgUpKcxN++BgBC1aCIeGDZV0W/Z9DwVEx3YyQDfB7SYaIs8UqvJQ4Olf2qpHAclaPSyU9kSyVlphdfUveauLh5LeSNZKqquuviVrdfFQ0hte1rR6HjNpMtK3bGF10ev99huK8vIQM+kldladmrWzMwI+/BDuA/or6brs+y4KiI7thAXoY8eOrRa06dOnIzQ0tFp9aOVi0RB55s37UODpW9qqSwHJWl08lPRGslZSXfX1LXmrj4lSHknWSimrvn4la/UxUcqjqrAuKixE4pIlcGrZCi4dOzDX6Kx63Kx3kLJmjc5Vn2fGw+/ll2FlY6OU+7LfChQQHdsJC9Ctq5GgwMrKCps2bULv3r0tArpoiDyiVeWhwNO/tFWPApK1elgo7YlkrbTC6upf8lYXDyW9kayVVFddfUvW6uKhpDciWWdfuICU31cj6fvvgfx85rZLl84InDcPtl5eSk5D9l1KAdGxndAA/YcffsDo0aO5gCUkJKBGjRrYvHmzDNC5lKuasciHQtU8kFcZSwHJ2lhKm34cydr0DIzpgeRtTLVNO5ZkbVr9jTm6ZG1MtU07lijWlNk96pFHkBsdDa/HRiN17d8oSEhgk7MNDEDQgoVwat7MtJO1kNHNLkBPTEyEn5+fDNCNdAOLeigYyV05TDUUkKyrIZ7GLpWsNQasmu5K3tUUUEOXS9YaglVNVyXragqooctFsU7580/ETp3GZu4x/D74vToF1155BVlHj7LfWdnbo+bs2fC8f4SG1NGmq6oN0HNycmBvbw/ars7bqnMt71hqsBcNkWdOoh4KPGNKW9MoIFmbRndTjCpZm0J1040peZtOe2OPLFkbW3HTjSdZm057Y48sknXq+vVIWv496ny3BNZOTijKzcWNj+cg+ccfddPyHDUSNadPZwG7bMooIDq2E7bFXZnpmmevoiHyqCTyocAzrrQ1vgKStfE1N9WIkrWplDfNuJK3aXQ3xaiStSlUN82YkrVpdDfFqKJZFxUVlVsgTfjmWyQsWoSinBw2RafWrVFr/nzY+dcwxZTNfkzRsZ3wAD03N5dBoNX0knblyhXUrVvX7OEYOkHREA0dl+xEPxR4xpa2xlVAsjau3qYYrbCwAPFRl3H+6CFEHjuKoKAgOLm4wMbODja29M+2+P/Zz7bFvyv5/7I2zP7263a3bUvZV2V3lCk0sYQx5XvbEigXz1GylqwtRwHLmanS7+v0PXsQ/cyzcB88CFnHjiHvWiwTl0q0BX3+GZzDwixHbCPNVHRsJzRAX7duHR566CHY2dlh7ty5GD9+PJOFsrNv3brVSBKpfxjREHlmrPRDgccXaausApK1svqaoveC/DzEXbyAmMhTuEb/zkYgNyvLKK5Y29wj2K808FfoWjs7WFtbXikZ+d42yi2vikEka1VgMIoTkrVRZFbFIEqyLszNxcV+/ZF/4wZgZYWgr/6L5O9XIGPPnuK529rCf9o0eD3+WJWOJatCQBU6ITq2Exqgt2vXDjNnzgRttZg4cSIL0N977z306tUL27ZtU6GcpnFJNESeWSj5UODxQ9oqr4BkrbzGSo+Ql5uDuPNnER1xCtfOnELsubPIzy3eriZbsQI1G4Rg0MQp8A4MshhJ5HvbYlDLFXTLQS1ZS9bCFMg6fhwxk1+G58MPwe/FF1FUUID4BQuRuHixbgz3+4YhYPZsdm5dtuorIDq2Exqg9+jRAzt37mSzjIqKQr9+/ViQvmHDBrmCXoq9aIg8t5X8w45HLW3bStba45eblYnYs5GIOXOaBeVxF86hsKC4rmnZZufgiMDGoQhq0gyedYIRefUa6vl4ojArk21jr98mDAX5+SjIywOtvF84vB/Zaamwd3ZFYKPGxb9nr+Xj0tFDyM/NhaObG7wDajF7eo1+R6v0hQUFcHR1g7O7R/Fr+fnIzc7CrbjrKCosBPlCW+gLCorHy8/JQW52NoqKCtnrSjcHFxcMe3k66rZsrfRQquhfvrdVgcEoTkjWRpFZFYNI1qrAYBQnjMG64NYtWLu7w8raWjenlHXrEPfmWyjMyGC/c2jSBEELF8C+dm2jzNucBxEd2wkN0Lt27Yo9JVsoAFy9ehXh4eFISUlBUlKSOXPhmptoiDyDG+OhwOOPtFVOAclaOW1F9Zydns6C8ZIt6zcuX7xrQOvg7IJaTZoiKLQ5fGrXhRWsUK9NO+ZKCeuMI3tw/WwEPGr4Y/zCJXpuLn31eSRdi0Zg46YY9e4cvdcWPfkocjIz0KhjVwx7dbruNVrBXzDmQfZzm4HD0PvJCbrXbt2Iw5JJxceYuo0ah44jHta9RnNaOau49MuA519GaLeeuqD/3IG92PzNIvZa3/Evwr9+Q90XBWf37cKJzeuK+xw5Fs4enrovGS4c3oeYiFPstVb9h8DaxhrJ12MR9e8R9jv6I6TPU8+hVb/BovCoth/53lYtGuGOSdbCJVVth5K1atEId8wUrGl38/U3piMvLo5tf8+NimLzsvbwQK25n8C1e3fh87SkDkXHdkIDdNrW/tJLL6Fx48Y6JufOncMDDzyAU6eK/7CSDRANkUdTUzwUePyTtuIUkKzFaSmqp4xbybh2e3WczpDHR18Biooq7N7J3QNBoc1YQE7/fOvUZeetty5djGPr/4KtnT1e+O5/sLN30AXomUf3IvbMabj71cAzi77T63fZlBeQGHMVAY2aYPR7c/VeW/TUo8jJyEBIhy64b8oM3Wu0gj5/zAPs59YDhqDPU8/rXku5GYdvX7odoI8ci473P6J77dqZCPw8ayo7/zbguclo3rOv7rXzh/Zh3cJ57DUaK7hlG91rJ7duxO6fv2c/P/L2B/AJqqN77dCfv+H4pn/YdY+9/ymc3NzZcapdPy0DvVbS2gwahp5jxsPaxnzPpsv3tqh3pPr7kazVz0iUh5K1KCXV348pWN9atQrX33yLiePcpTNsXFyQtmlzsVhWVvCbPAk+zz6rt+KufiXV46Ho2E5ogK4emdTtiWiIPLM1xUOBxz9pK04ByVqcllXtKTUhniVzi4k8jejIU0iOjblrV65e3ghq2oIF47VCm8Ha2hpXThxjQbOrt4/uuqPr/sS2ZV+znx+cPhvBrdvpAvSWIQ3hYGsDW3t71AiurzdWUmwMCvPzYefoCI8aNfVeS7l5A0AR26pOq9YljQLgzJRb7AOb+rR3vHNWjbau0wo7ZXdnCeRsbfWuK/7Mt6qqdAZft+OH73D4r9/17Ou1bochk6eCdh2YY5PvbXOkWvGcJGvJ2nIUsJyZmuJ9nRtzDdcmT0bOpUuo98tK2DdsiMRvvkX8558Dt4+iufbpg8CPPoSNm5vlwBA0U9GxnQzQBYHh6UY0RJ6xTfFQ4PFP2opTQLIWp6UhPVEwe+vG9dvb1YvPkKfGU+BbcfPwr4mgJrQ63owF5rQtvSSgvXzsMH7/6B12Yb9nJ6Jln4G6TpLjYnHg918Q3KoNC84dXVwtOrkQlZrb+cNSXD9/BinxN5GRXHycilbf75/2drkvIwxhqXYb+d5WOyFx/knW4rRUe0+StdoJifPPVKwLc3KQExnJaqKXtPTdexA7ZQoKUlLYr+yDgxG0aCEcGjYUN2EL6El0bKdogL57924sXrwYFy5cYGfQ6Q/Y0o3+GD179qwFYNOfomiIPALGXrmMQ/+eYLkBPD3vrJTx9CFttaGAqT4AtKFO9b2k5xmd6aZAvOQMefrt4LCi3inLeFDT4u3q9I9WxW9evoio40fh4umF5r366S7LyczEl+NHseRsjTp1w7BX3rinw5I12Fn1zNRbWPPJf3Dj0gWmF22Dv++1mSyRnjk1yducaN57LpK1ZG05CljOTNX0vs6Pj0fMa6+hIDEJuReKPzutnZ0R8OGHcB/Q33KgVHOmomM7xQL0RYsWYfLkybC1tUX9+vXvGgzu27evmpJo73LREA1VgLa4UqIoJ7+aCBs4FK1794O9k7Ohl0s7jSmgpg8AjUlXobu0Uht/JYptWS8ue3YaWWmpFU+NznPVCb4TkDdpprd1nC6iLeL/nTAGWakprFTYYx98ptfX0X/WwCugFuuDtp7fq0nWd9TJy8nGui8+xfkDe4v/0LC1xYAJk9C0R29zuA3ZHCRvs0FZ6UQk60olMhsDydpsUFY6EbWwLsrPx9UnnkTm4cOwcnODS/swpG+9Uxbb55nx8Js8GValjrBVOjkLNRAd2ykWoNeuXRv+/v74+++/2X9lu6OAaIiGarv75xU4sHqlztzW3gEhHTqzP1zrtGjFElDJZj4KqOUDQKuK0oosrcSy1fEzp0GJzyjTeUWNzmhTNvKS1fFajZvC0dWVmVKptHMH9oAytD808z29c9l/L/gEZ/bsYCXMnv1yaaWB+N20lKz1lYk9F4mfZ03Ty4jfYcTD6PboGLNIgCN5a/Wpwu+3ZM2vmVavkKy1So7fb7WwpnJr16ZNQ/rmLXDu2BG1v/0Gt379FTc++BDILy7x6tKlMwLnzYOtlxf/RC3oCtGxnWIBuqurKz755BM8//ydrL8WxOmeUxUN0VBdr546gYN//YYrt8sSlb6OElSFdu/FgnXf2nUN7VLaqVgBtXwAqFgiPdcoY/n1C2dZQE5J3SjIo3reFTVKiFazYePbAXkzVo+cEqixYzxFRXpBIGUZP7hmFetm7JyF8KtbT9flzahLyMvJQUDDRtXKOi5Z61OinQ1/ffohoiNOwsraBkWFBcygYfvOGDxxCkuUp+UmeWuZHp/vkjWfXlq2lqy1TI/PdzWxpr9bkn/8Ce4DB8DW15dNJPPoUcRMnoyC+AT2s21gAIIWLIRTc/M6LsZH7d7WomM7xQL03r17o1OnTvjggw9Ezp/1lZ6ejrlz5+LIkSM4fPgw4uLiMG7cOCxbtkxvLHrthx9+wNatW3H58mW4uLigWbNmmD59Ovr2vVP2514OPvHEE1i+fHmFJtHR0QgKCuKen2iIPA4cWvcndt7OAO3pH8CSWpVttBJIgXqTruFwdvfg6V7aqkgBNX0AqEgWnSu52VmIPXeG1damoDzuwll2jrmiRrtNAhs10W1Zr9mwEStvVtKoJvihP1ch6vgxViu8QbsOuteiT5/AL+/OYGfO+0+YBMowLrpJ1uUVLcjPw6Ujh+Ds6YU1c//DjhJQqxHcACOmvQU37+I/RLTYJG8tUquaz5J11XTT4lWStRapVc1nLbBOXvkLkn/8ETnnzrFJWtnbo+Y778DzgfurNmkzv0p0bKdYgE6ODhkyhAW3/fuLTTIQFRWFevXqISAgAO3atcPatWsrDNAfeugh7NixAw8++CDatm3LAvulS5eymuxffvmlQav7JQE6zYPKHpVuVN/d2Zn/DLdoiDz3fGJ8PNb/8hOcMtMw+IWX2RnaiJ1bEbFzW7mM01RHuF6bMBas12/bAbZ2djxDSVsTK6CFDwBjSpSdkc62qRevkJ9i29fpHHhFjXIz1GrSVLdl3b9+A9jYFt//dBadaoZTArKSRgH6kknFNcFbDxiKPk89p3uNAsXk67Esq7hSZcck63vfSVRGbvXHs1kdeGqUlG/E1LfZ2X8tNslbi9Sq5rNkXTXdtHiVZK1FalXzWe2ss8+eQ9Sjj6IoLw9Obdsg69Bh3UQ9R41EzenTWcAu2x0FRMd2igXo5PJvv/2GRx99FHQevU6dOrCx0T/jTH+sbtmyhZtvTk4OEhISUKtWLeRTXV87uwoD9D179iAsLAwODndWurKystC6dWvEx8fj5s2bLIndvVpJgJ6Xl1epraETEQ3R0HHJ7m4PBQpUlk99CYnRVyrsjko5Ne7SgwXrASGNFQs0eOYibe+tgNo/AJTml5maogvGact6/JXLbPt5Rc3RzZ1l+i4+Q94MfsH1yuVkoG1g67/8DJeOHQadMR/x+pt6XS2Z/AwL4puF90H7+x5Uenp6/Vs6a0PEpsz4K96YhJQbccyc6roPevFVliVfa03y1hqxqvsrWVddO61dKVlrjVjV/VU768TvluLmnDlsggHv/wewsUHcrHdQdPvYH5VpqzV/Puz8a1RdBDO7UnRsp1iAvmrVKowaNQoFBQVsa/ndSnrRNvHqtHsF6Hfrd8qUKfj0009x9epV9uXBvVpJgJ6bmwsK7ulsfdmVdF7/RUPkGf+uAXpREf7dsBaRu7bDzdcPDTt0RsSOLbhy4l8UFemvMlJmaQrUm/boBXdf+ebk0d+Ytmr/ABCtBa1UU56Fi4f3syzrVALtbs3Fy1u3Ok4BuU+t2nrnxuk8+s2oiwhsFKrXBW1Vpy3r9k5OeOHbn3Sr6mSUm5VpsqoIlsa6KvcO7aBY/tpEpCcVn6kraV0feRwdH3hUU186St5VuQO0eY1krU1uVfFasq6Katq8RgusUzduZNnda86YwUTOjohAzEuTkHftGvvZxtcXQZ9/BuewMG1CEOy16NhOsQC9cePiVVYK1Js3by5YhjvdVSVApy8OyC96g9CXB4YE6G5ubkhLS4OTkxMGDRqEOXPmoEGDBlWal2iIPE4Y8lCgc7iUBItaelIijqxbg8N//l7hMLWbtWTBeqOOXUwWnPDM35JsDWGtdT3ycnNw5fgxnD+wBxePHmRbzytq7n7+bGW8pA455V+423bzI3//Aap4kJ+bg+cWr2DboUvaob9+Z2MFt2qLsKH3q+aetwTWIu7VjFvJWPv5x2wXEHGmOvPUQrv1ZPkBaFVdC03y1gIlMT5K1mJ01EIvkrUWKInxUaus8xMTEf3sBGSfPl0shK0t/KdNg9fjj2nqS24xFPV7ER3bKRag09lsCmInTpyohA66PnkD9MjISLbFfejQoWwLfmXtjTfeAG1vp7PutFV+//79WLhwIShgpyR0deveO+NTf2nFAAAgAElEQVT59evXQf9KN/Lh8ccfx/bt29GqVavKXBD6On3JQDcRncmnORjSYk6fwM7lXyMr5RbqtgnDjQvnkF2m/rONvT2C27RHSKduCGjSrNq7DAzxS9rcW4GqsNaCppTcLebkcUQdO4joU8crzLTu4V8TNUNCUTOkMWo2agLXChKCUcm02DOn4VM7GO5+d3aCXDy4F9uXfMmkCH/yOTQstQWatrkrdY68OtqbK+vqaHK3a0sYEvsti+cjNzOTmdaoH4K+z78MJw0kxpS8lbgz1NmnZK1OLkp4JVkroao6+9Qq67Svv0b6d0th26QJ8s+c0YnrNHAgPN6YBiuNV0ipzt1y/Phx9OzZkyUwpxiruk2xAL1Dhw4sCH777ber6+M9r+cJ0FNSUtC5c2cWMJOQdC6+Km3Tpk0s8V1FmePL9vfOO+9g9uzZFQ4zb968Kq/CV8Xv6lxDf9Rmx8fB0be4pn3m9WikXjqPjJiocud6bZxc4FavIdzrhcDeQ9ZNrI7u8tpiBQpyc5ARcwUZ0VHIvB6jK5tVWh8HHz+41q7H/tmVSuBWkYY5yYmIXr+a3bvercLg3ayNzqwgOxs39m2Dc0AQXGoHw87FsC+yJCvtKZCbegvXt29AXnoqc97W2QUBPQfCwdNbe5ORHksFpAJSAamAVEAhBWxSU1Hv4zmwzs9HvqsrEgYMgN/atbC5fS49OyAA18c8jjwfH4U8UHe3Fy9eBB2hVn2AvnnzZowZMwbr169XdJXY0ACdzo8PGDAAhw4dYj6Fh4dXizStqFOgHxsbe89+zGEF/W4TpKB91VtTkBp/E9a2tiisoESVb516aNi5Oxp06AxHVxnoVOum47xYq9/QlkyTKgxc+fcIoo4eROyZiPJBuZUVq0Ue3LY96rYOY2XMyraM5CRcizjJ6pM37tZT9zJtbf5xyvPs3HjNkCYY8pp+wjdOqU1urnXWphRw46J5iD55TOeCnYMjej7zIuq0uPOljSn9q2hsyVttRJTzR7JWTlu19SxZq42Icv5olXVuZCRuvfkWPKa/AYewMORHRSFp2hsouFKcYNrK3Q2es2fDsXNn5cRTac+aWUEfO3Ys/v33X9B27o4dO7Kt4BVlcb9bjXFD9TckQKcEb/fddx+rh/7777+zlf3qNiqxRuXdqG/eJvqcAs/4os+9UIBz4dB+5gKd64zYtY2VbaOgvXQrLtnWHs169Ea9tu1lyTYeaFW0Fc26im5wXZaWlIDzB/bh/ME9uBYZUS5BId1HlPcgpEMXNGzfSe98eEUDLX31eZYsjs6gj1/4rd72dDqDbO/sjOCWbeHmo92a2DRvLbLmujEUNL5+/ixWz3kXRYVFyL69km5lZY3wMU+h7eDhqjzSIHkreEOorGvJWmVAFHRHslZQXJV1rWXWRbm5eiXWCtLTce3VKcjYubNYZSsr+E2eBJ9nn9VLvqsyBMLdER3bKbbF3ZBM53SWk7K8V6dVFqDT61QP/a+//sKPP/6IkSNHVmc43bUtW7ZEcnIyqpKFXjREngkZ46FAJdsOrV2NXT8urdA1Wkmnkm0UrNds2EiVfwDzaKpWW2OwFjH3lJtxOHdgL0u+RsFS2WZjZ4e6LdugUceuqN+uA5zK7MSgeuZn9+3CtbOReGjmu6AV0JK2bdnXOLruT/YhMX7hErj7+olwWXV9aIW16oS77VBqAn2haIXzB/Zix4olui+GWvQZwGraU/k8NTXJW000lPVFslZWXzX1LlmriYayvpgT68KMDFx65BGgsBB5V66y/1Jz7dMHgR99CBsD810pq7jyvYuO7RQL0JWXoniEewXohYWFGD16NFauXImvv/4azzzzzF3dokRwdH7Aw8MDAQEBzC4jI4PVPi9dR51+T/1RoD9hwgR89dVX3FMVDZHHAWM9FNISE3B6xxZE7tqGln0H4fK/h3H15PFyK6KeNQPRvGdfhHbvKUu28YA0wNZYrA1wpZxJ4rVoFgzRPypnVrbZOjigfuswhHTsgvpt2+uypdO2d2sbWzg4O+suObruL2xbtpj9/PBb76NO8zuJF6n2eXJcLPudo4trVVzVxDVqZq0JAUs5eenoIfy9YA5ys7LYb2nHxrBXp5f7YsiU85K8Tam+cceWrI2rtylHk6xNqb5xxzYn1tdnvYNbK1cyAd369kXmoUMoSElhP9sHByNo0UI4NGxoXIFNMJro2E6xAN2QbMd0g96tPnpl2i5atIht66QgfNasWWjTpg1o2zk12s5OK9yvvvoqPvvsM3befPz48eW67NevH/z9i5OeRUVFoV69enqJ32iL/pAhQzBixAiEhITA3t4e+/btw08//cTqpx84cEB3fWX+ln5dNESesU35UKDty1Rn/cDqlbo/fnW+W1mhTrMWaNqjDwvK7B2deKYlbStQwJSsy7pDzwMKlmmVnFbLK6pRbu/kjAbtOjD+VMas9Ep4Ykw01n7+ERKir6DfMxPRsu9A3RDU7/dTX4Kzhyd6PzkBjTt3t7j7QU2szUH8i0cO4o9P3tMlwPQKCMSIqbPgHVhLFdOTvFWBwShOSNZGkVkVg0jWqsBgFCfMiXVebCxiXn4FRVmZCF65EvlJyYiZ9BJyIiKZltbOzgj48EO4D+hvFG1NNYjo2E6xAJ0C4m+//fauOiUlJYECZMp2V5UWHByMK7eTEpS9funSpXjiiSdYuvsdO3bctftt27Yxm7sF6HFxcSwjHyWWo2RwtMpOgfmwYcMwc+ZM+PpW7dyqaIg8+qnhobBl6VeI2L6Fnf8tyMsDrYqWbrSdNKRjZzTv2R+1m7eAtbUNzxSl7W0FTM2agvK4C+dw7sAenD+4Fyk34sqxcXRzR8OwTmjUsQtqN2+FrNQUxESegq2dPQvUS1pOZia+eGok24FBNasHv/Sa7jU6UkGr5F4BtSz2uISpWZvbm46OTPy94BPQvVXSHFxcMOyV6ajborXJpyt5mxyB0RyQrI0mtckHkqxNjsBoDpgb68LcXBQkJcGuZk2mYWF2NuJmvYOUNWt0mvqMfxp+L78MK1tbo+lszIFEx3aKBeh2dnYsuP3oo4/K6ZOYmIg+ffrg6tWroEDd0ppoiDz6qeWhkJ+Xh8yUWyzJV9TxI2w7PK1alc0E7+rji6bderKVdZ+g2jxTtXhbU7AuLCxA7JlInDtIQfk+pCcmlOPg4uWNhu07s6A8KLQ5KPEbNQroFz8/DpR5PaBhY4x+f57etX/O+4B9qdOgbfEqu2x3FDAFa3PX/+qpEzizZwfycnNwZvd2Nl3KZdDnqefRqt8gk05f8jap/EYdXLI2qtwmHUyyNqn8Rh3cElin792L6zNmIj8+Hridb8ylS2cEzpsHWy/zK8EsOrZTLECnVeynn36aBehTp07V3fgJCQno1asXrl27ho0bNyIsLMyobwo1DCYaIs+c1PxQiNy9Hf8smleurnrJ/Lxr1UarfoPRpGsPOLt78EzbIm2NxbogPx/Rp0+w8+QXDu9nX7yUbe5+NRDSoTNCOnRFVnoazu3bhYSYqxjz0Xy9Ve+1n3/MEr5R0D5x6Uq9be4WCdHASRuLtYHumJUZfXF0YPUv2LNyhW5ebQfdh/CxT5tsd4/kbVa32D0nI1lL1pajgOXM1Nzf13k3buDy/Q+wVXUrZ2dYOzmhIDGRAbYNDEDQwoVwatbMrICLju0UC9BJ9Xnz5rHgnBK0UbB+48YN9O7dG7R1fNOmTWjbtq1ZwTF0MqIhGjou2an9oUDB3dn9uxHYOBTn9+9FxK6tSEuI15siBW+UOKxpj97sv2rLsMzDQ0lbJVnn5+biysljLCi/ePgAsjPSy02FtpwHhTZjnGo1aaYLxHf/vILlIaA2bu4X8K1dV3ctbW/PuHWLXUe7K2QzTAElWRvmgflbndu/G38vmIvCgnw22Xqt22HI5Gl6CQuNpYLkbSylTT+OZG16BsbyQLI2ltKmH8fcWVPptesz30Tahg3wfeEFeI58FNdefgVZR48CdnYIXvE9nFqb/riYyDtBdGynaIBOE58xYwY++eQTLFiwAAsXLsTNmzexefNmtDYzMDyQRUPkGVtrDwU6A0pB25+ffojs9LRyU6WSbY06dUXzXv1Qs4Es2VZaINGs87KzWTZ+SvJGma7zsouzXJduvnWCWY1yV28f7PxpGXLS0zD8tTdZzfKSFnXiGH7/YBZq1KuPXuOeRa0mTXluYWlbgQKiWUuRyytACQqXvz5Rb4ePT1Ad3D/tbXjUKD53Z6wmeRtLadOPI1mbnoGxPJCsjaW06cexBNa0+4wCdLd+/WBlYwOqn37j4zlwCAmB18hHTQ9BsAeiYzvFA3Sa/3PPPYdvvvmGJVWj4LxFixaCZdFWd6Ih8sxeqw+Fm1GX2Dl1qpldvHr7b7mt8HS2uc2AoQjt3sts610bm3VOZgbLDUDZ16P+PYr8vNxyLrh6+6J2sxbo/OBIlqiN2q0bcVgyqbhyQrshI9Bz7J0qCgX5eYyhg7MLz3Sk7T0U0Or7WktQ6Y+No/+swfYVS+Dh58+eRdSc3NzZl1DG/KJJ8tbSnVM9XyXr6umnpaslay3Rqp6vknX19FPj1aJjO2EB+ttvv31XvagUGq2eU2K45s2b6+ysrKwwe/ZsNeqsqE+iIfI4ay4PhZKSbSc2r9f9oVzqxkKdZi3Z1mpLLtlWVdaZqSls2zoF5VdOHtdt6S2tb63GoWgQ1gl7fl4BCrgbhHXEiNff0plQMPPXpx+yxH7123ZAQEhjnttU2nIqUFXWnMNIc4A9b5zdPbHui09ZdQJqNra26D9hEnvmGKNJ3sZQWR1jSNbq4GAMLyRrY6isjjEka3VwEOmF6NhOWIBubW3NPU8K0AtuZ/bjvljDF4iGyCOFuT0U4q9GYceKJaCMy/aOjqAV39KNsi4HNW2BsKH3w7d2HVCtbXsnJ5Mld+JhVV1bHtbpSYm4cGg/zh/cg+iIU3rlpUr8IN26j36SbVd39fJmv/5l9nRER5xkW9qf/XKZxZY5qy6r6l7Pw7q6Y8nrixWg4zd7fvmBJZAraR1GPIxuj45h2d6VbJK3kuqqq2/JWl08lPRGslZSXXX1LVmri4cIb0THdsIC9LvVJK9s0nXr3kkQVZmtubwuGiKPLub6UMjNyoS1rS2ijh9DREnJttvJnCrShxLLWdvawM7RCR5+Ndh2awreHag2e34++9nZ0wuunl7Frzk7w4GCe2cXZkM/U61u+pJJra0y1ik3b7AVQEr0Fnv+TLkjA7QqWLdlG1AN8mtnTrNpPv/Nj3oZ9GPOnIaVlTVqNmgok/WZ8EaojLUJXTProWmnCH1JRXkyShrlYBj04quwc3RUbO6St2LSqq5jyVp1SBRzSLJWTFrVdSxZqw5JtR0SHdsJC9CrPTML6kA0RB7pLOWhkJWWil/fm4H4K1E88nDZWtvYFgfuzs6sHBht9bZ3dIartzfoXDb9vnTgX/IFwJ3f0ZcCTro64FyDG2BcEeuk2Gts6zoF5jcuXaiwF9px0LLPAJYhn3yN2LkV25Z9jVqhzRA+5ml41Qw0YHRpYkwFLOV9bUxNDRmrsKCAbXWneun0ZR0F7NRq1GuAEVPfgpu3ryHdcNtI3tySafYCyVqz6Lgdl6y5JdPsBZK1ZtHd1XHRsZ0M0E1wj4iGyDMFS3so0HnRa+fOIDstDTkZ6WwLPK22n9mzE3k52WzVnLZn0+9opbiizOQ8+lbFlsrG2djZw9nDA85uHrrVems7O7Yq7ezuDmcPTzi4uNxZxWer+cVfANDKvq2DQ7nVfGK9fft2tGxYH3GRJ3Fu/x4kxlwt5yJ9SRDQsHFx4j0A3Uc/gQ7DH9LZ0RcP1tY2im/brYp28ppiBSztfa0m7hSUH/zjV/jVq4+dK77TvcfoGMiIqW/Dv35D4e5K3sIlVW2HkrVq0Qh3TLIWLqlqO5SsVYumyo6Jju1kgF5lFFW/UDREHk/kQ6FYLfqjmoJx2s5OWZhLWkFBPo6tW4vM1FusDjf9cV0SvNM57cNrVyM/J4clP6OV5JysLORmZiD9VjKSY2NYN3T+lM6nGrPRmCVb8K1trFlgb2PvgOSbN5CXnlrOFXq9SbdwNOrYFXVatAbt1N/w1QJQ8rfgVm2NXjbKmFqZ41jyfa0OqvQl39/zP8blf48wh2zt7dl290adugl1UPIWKqeqO5OsVY1HqHOStVA5Vd2ZZK1qPFVyTnRsJwP0KmGo3kWiIfJ4Ix8KPGoZbpubnQUqBZebmcmCdxdPb91q/fXzZ3Fq+2b2c/027eHk7n77tSzEno1A7LkzbCC/uvVAW2ZzsjJZP/TFgMhGq/C0Gp6TkcHKoj3y9ociu5d9mVAB+b42ofhlhqb38OYl/8XJLet1r3R9dAw63v+IsJwVkrd6eCvtiWSttMLq6V+yVg8LpT2RrJVW2Pj9i47tZIBufIYQDZFnCvKhwKOW8raFhQXIZavwmSwpna2dnW7Q6NMncPX0CVDZs5a9ByA/L4+t1lMAf3LrRsRdOAe6vkXv/uz6ku371y+cZ7sD6EysrYsbGnXojOY9eiGwcShuXLzAdga4+9VQfnJyBKMpIN/XRpPaoIE2fr0QJ7ds0LMN7d4L/Z99ia2qV7dJ3tVVUDvXS9baYVVdTy2FNe0wLFvpghYPaGefpTRLYW0pPGmeomM7GaCb4O4RDZFnCvKhwKOWNm0p+VtaUiIyMzJw+VYawsPD4enpqc3JSK8NUkC+rw2SyWhGtKPmn4VzQZUS0hLideUfAxuFYvhrM1lOieo0ybs66mnrWslaW7yq462WWVPQTUf+0pIScCvuOgrycuHk6s52AtLzkI4IHl33J3sW+tYOhndgLfZ7Wlygo4bJ12PRNLw3uj78mKIVMKrDR+S1WmYtUgdz6kt0bKdYgJ6RkYGzZ8+iQYMG8PDwMCcG1Z6LaIg8DsmHAo9a2raVrLXNj8d7yZpHLePY0u6WvOwcZNxKwuqPZ7M/WqnR7hVKHudXJ7jKjkjeVZZOcxdK1ppDVmWHjc2acvFQTh12rI528rH/lv7/rNuv6f8uJf4GstPTUJifz3bqUWAuKsFuk67hGDLp9SprqJULjc1aK7po2U/RsZ3QAH3y5MmYP38+9u7diwceeAD+/v64efMmVqxYgb59+2pZd6G+i4bI45x8KPCopW1byVrb/Hi8l6x51DK+LZV9/OvTDxEdcZINTjXSh06exkoZVqVJ3lVRTZvXSNba5FYVrw1hTUF1AR13o8ozZYJpQwPsO8F4FoqKjJvQtkQXGzs72Ds6sWo0mSm3kJedrZOMnos9xz1j1iVdDWFdlXtIXmM6BUTHdkID9D59+mDLli0YMmQI3n33XbRr1w5XrlzB448/jl27dplONZWNLBoiz/TkQ4FHLW3bStba5sfjvWTNo5ZpbK9fOIf/vfU6igoLmANWVtYIH/MU2g4ezp08TvI2DUNTjCpZm0J1449JySUPb/gbJ/bvhb+fL1BA+Wn0V65LAnCyNUWjkrBUmjY/Nxf5uTnsHHndlm3Y7yjYdnB2QtK1GFjZ2MDdtwarCkMB+J3XnWFHQTmVhi2Vb4e2ve/+eQWOb/pHVwHHxtYWYcMegE9QHYR07Kpnb4q5ix5Tvq9FK2r6/kTHdkID9P79+2Pjxo0oCdRL5Orduze2bt1qevVU4oFoiDzTkg8FHrW0bStZa5sfj/eSNY9aprFNvn4Nv39EW91j9Rxo0WcA+jz1POgPUkOb5G2oUtq3k6y1z7CyGVAFmA1fzcfNyxcrM63W6+5+/nDx9CwOmJ2ckJoQjxsXz7M+2w0ZAa+AQN1r5/btxtl9u+Hi5Y3735gFjxr+sLWzZ18mxl+NYtvbXb19WNJZUS0x5iq2Ll2Mq6eO63VJYwx9ZTqCmjQVNZTJ+5Hva5MjEO6A6NhOaIA+duxYjBs3DuvXr2eJqYYOHYrDhw9jypQp2LFjh3AxtNqhaIg8OsiHAo9a2raVrLXNj8d7yZpHLdPZZqenI3LPdrj7+OHvhXN15zbrNG/J/gB1cnUzyDnJ2yCZzMJIsjYLjBVOglai9/++Eof+XMVKrJZudAzGwckZdk7OcHBygo2dPejsNwXGtKocENJYF0xn3ErGgd9Xsss73P8wmvXow16j669GnMAfH7/LXhv68hto3LmbbpjL/x5hidvcvH3QYfjD8KwZoHuNErfRijkF5MZstIX//IE92L5iCUuwWdL864dg4POT4VuN3B3GnEdlY8n3dWUKae910bGd0AA9Pj4ew4cPR1JSEs6dOwdnZ2eWPfqPP/5AWFiY9tRWyGPREHnclA8FHrW0bStZa5sfj/eSNY9a6rCNv3IZq+e8q/sj1LNmIO6fNotlN66sSd6VKWQ+r0vW5sOy9EyunY3Exq/mIyk2RvfrBh26IOrkvyjIzkKz8D4Y+PzLuteyM9LxxVMj2c90LKbXuGd0r6XG38Q3E59iP3d+aBS6PPyY7rW0xARE7NoGNx9fBIU2Y1vPtdDycrKxb9X/cHjtat22d9pS32bAUHR+eDQcXVy1MI27+ijf15rGV6HzomM7oQE6eUzffh06dAhRUVGoUaMGOnXqBEdHR/MjUY0ZiYbI44p8KPCopW1byVrb/Hi8l6x51FKPLa18/TjjFdAf0dQcXFxx36vTUad5q3s6KXmrh6HSnkjWSits3P6ptNju/32PYxvW0h/MbHBXH1/0G/8ivOuHYNnLz6IgK5Od7X5o5ns65+hv6y+fHsXOdId264VuI8foXqPVd8px4eZDW869uY7LGHf2/KPduhGH7cu/wcUjB3QXO7q5s91G/Z99CUFNm/N3qoIr5PtaBRAEuyA6thMeoAuer1l2Jxoij0jyocCjlrZtJWtt8+PxXrLmUUs9tpS9+NtJz+iVKKJtpXQmvWXfgXd1VPJWD0OlPZGslVbYeP1HHT+KTd8sAq14l7RW/Qah++gn4eDsDGK9au4H8PPxRu0mTdF20H16zlGQbuwt58ZT594j0Xb8bcu+BuXyKN16jXsWbQfr66QWn+/lh3xfa4ESn4+iYztFAvTExES2rf3IkSO4du0asrKy4OTkhFq1arGt7vfddx98fX35Zm5G1qIh8kgjHwo8amnbVrLWNj8e7yVrHrXUZUsJl9bM/Q+CQpvj9PbNOudoGytlebe2tinnsOStLoZKeiNZK6mucfrOSk/Dju+X4PSOO+9vWwcHVoP8vldnIKRjF+aIZH1vHgX5eTiy9g/s+eWHO2f2razQvGc/dB81Fs4ensYBKmAUyVqAiCrrQnRsJzxAnzdvHmbNmoXMzEwmnZeXF9vinp2djeTkZPY7OptONq+//rrK5DWOO6Ih8ngtHwo8amnbVrLWNj8e7yVrHrXUZ0sJmSiLO2VNXv/lZ6yEEbV6bcIwZNJUtrpWukne6mOolEeStVLKGqffcwf2YMuS/7Ja39SovGKzXn0RsWMLCzI9/QPw5OdfsS/iJGvDmKQlJWDDf+fjyoljugscnF3Y2fQ6zVrBr26wYR2Z0EqyNqH4Cg0tOrYTGqB/++23ePbZZ9kK+csvv1zu/DkF6fv27cPnn3+OtWvXYvHixRg/frxCUqm3W9EQeWYqHwo8amnbVrLWNj8e7yVrHrXUbRt38Tz+mPMu6Hw6Nd/adTFi6tuszFFJk7zVzVCkd5K1SDWN11d6chK2fvcVzh/cqxvUr04w+j83GTUbhGDPyhXs3HjvJ5/TJYaUrPn4xESeYmXZKOFm6dawfWcMeH6yqhPJSdZ8rLVgLTq2Exqgt2jRAiEhIfj9998r1XLEiBG4cOECTp06VamtuRmIhsijj3wo8KilbVvJWtv8eLyXrHnUUrctnTNd/fG7uHzskM5RJ3cPDH/tTdRqHMp+J3mrm6FI7yRrkWoq3xe9f0/v2ILt33+DnIwMNiCdG283dAS6jRynS+BGq+eUlbz0mXLJmp8P6Xhi83rsXrkCORnpug7qt22PvuNfZNnr1dgkazVSqZ5PomM7oQE6nTNftGgRnn766UpnuWTJEkycOJGdT7e0Jhoij37yocCjlrZtJWtt8+PxXrLmUUv9tmf37cK6RZ+yP+Yp6zM1+n9afWvavZcM0NWPUJiH8r0tTErFO0q5eYMlgSu99RpUR7yoCCEduuC+KTPu6YNkXXVEmakp7HjQ5WOHdZ3QOf9O9z+KdkPvh62dXdU7V+BKyVoBUU3cpejYTmiAXqdOHTzyyCOYO3dupTJNmTIFv/76K65evVqprbkZiIbIo498KPCopW1byVrb/Hi8l6x51NKG7fULZ+Ho4oZT2zfh4B+/6pzueP8jaNZ/KHbu2oXw8HB4emonMZI2lFeXl/K9rS4eFXlTWFiAfzf8zcqnUf1uahQcdhs5Fuf270bs2UjUatIUD05/F3b3KDssWVef9bVzZ7B9+deIu3BO1xnVfqdjBQNfeOWe+ld/dMN7kKwN10orlqJjO6EB+rRp09j58k8++QQTJkyAg4NDOV1zcnLw1VdfYerUqeyc+scff6wV7YX5KRoij2PyocCjlrZtJWtt8+PxXrLmUUt7trRlduPihSgsyGfOB7dtD+sGzdCrb18ZoGsPJ5fH8r3NJZfRjRNjorFh8XxcP3dGNzbVMO/3zESWN4KqNNy8fBFNe/SutESaZC0GX1FhISJ2bcPOH5fqkvNRzzZ29nj4zf+wL0tM3SRrUxMQP77o2E5ogE5J4B588EGsW7eOlVVr1aoVK61GgToF5lRy7fjx42xb+4ABA7B69WqW4d3SmmiIPPrJhwKPWtq2lay1zY/He8maRy1t2tJK3F+ff8y2y1KzsrVDw/ad0LJ3f9Rp3rLCcmzanKn0urQC8r2tzvuBKi8cWrMK+3//GfT/Ja1J154Y/NKUSoPximYlWYtlnZOZgZ0/LsOJzet0HdNRobBhD6DjiEdMupouWYtlrYbeRMd2QgP0EoEoQ/v//vc/Vgc9NjaWlca5YcAAACAASURBVFyj0mqBgYFo164dRo0ahaFDh6pBT5P4IBoizyTkQ4FHLW3bStba5sfjvWTNo5Y2bY+u+wvbli2u0HkXL2806dIdod16oUa9BlUKDrSpivl7Ld/b6mN849IFbPjv52x1vKRZ29iwsmn2Ts546vPFcPH04nZcsuaWzKAL4i6dx1+ffoTU+Bs6e1cfX3Qf9QSrQW9nb29QPyKNJGuRaqqjL9GxnSIBujqkUq8XoiHyzFQ+FHjU0ratZK1tfjzeS9Y8amnX9tS2Tbh4+AC86zXA8S0bkZMUX24yXoFBaNqtJ5p06wlP/5ranaz0nCkg39vquRHycnOw79efcPiv1SgqKmSOOXt4os/TzyMzJQW7f16O7qPGoUWfAVXa0SJZK8easutTybvt33+LtIQ7z01be3v0HPcMWvUdpNzgFfQsWRtVbqMMJjq2kwG6UbDpDyIaIs8U5EOBRy1t20rW2ubH471kzaOWtm3pD82UlBTs2LEDrZs0QszxIziw+hfQucuyLaBREzTt1guNOneDs7uHtiduod7L97Y6wEdHnMTGxQtwK+66zqFm4X0RPvZpOLm6gRLFZaenV+t9Jlkrz5qS+B1c8xsOrflV72hCq36D0W3UWKPVTpeslWdt7BFEx3YmC9Cjo6Nx+fJl9OjRw9gamnw80RB5JiQfCjxqadtWstY2Px7vJWsetbRvW5p3xo3r+Pnt19mkKFNxSvxNZKWm6E2Stt8Gt2rLVtUbhnWEnYPl5X7RKnX53jYtuZzMTOz6aSmOb7pzjpk88g4MwhPzvmS1zEU1yVqUkpX3czPqMv6c9z5SbsbpjJ3cPdB99Dg0D+8rlGtF3kjWlTPSmoXo2M5kAfr777+Pt99+GwUFBVpjUG1/RUPkcUg+FHjU0ratZK1tfjzeS9Y8amnftizv+CuXEblnB5r37McyR189+S8id2/HuQN7UJCXpzdhO0cnhLTvhNBuPVGnRWtQ8C6bOhWgM81Xzkbi2KnT6N1/gMzYb2RMl44ewqZvv0B6YkLxyFZW7NgIraLT+2j0e5/At06wMK/kc1yYlAZ3dHzzehxZuxrJ16/prvEJqoO2g+5Dy74DDe6H11Cy5lVM/faiYzsZoJuAuWiIPFOQDwUetbRtK1lrmx+P95I1j1ratzWU99rPP8bZfbuKYwtr63Lb4On8bOMu3dk2eP8GITK5nIlvDTqmkBB9BVdPncDV08cRE3EKuVmZLDAMatYSLXv2RYP2nWDv6GRiT817+MzUFGxb9jXO7NmhmyitmPefMAnuNWqweue0HdrN21eoEIa+r4UOKjtDQX4ejv7zJ/b99jPysrN0ingGBOLRWR/C1ctHuEqStXBJTd6h6NhOaID+7rvvGiwQnZ/bvn27XEFv29ZgzUQYyoeCCBW10YdkrQ1OIryUrEWoqJ0+DOUd9e8RnNqxBdnpaRg8cQoL1mll/fr5s+Um6xUQCCoRFdq9J7xqBmpHDA17SvkEbt24jqsnj+Pq6ROIPn2i3PGEstOzdXBAw7BOaNI1HMGt2sDG1k7DCqjLdeJxdu9ObF26GFlpqcVfbFlZocOIR9DpgUdBCcWUbIa+r5X0wZL7Tk9KxLovPsXVU8d1Mjg4u6DLI4+hdf8hQncbSdbmd6epOkC3trZmDzN6yBnSyFZucZcBuiH3irThV0B+APBrptUrJGutkqua37y86TOZPm9LWtylC/hp5qsVJpYjm4CGjdl5dSrdRqvssolTIC0pAdG0Qn7qOFspT0ssn4mfRrOxs4NPrdq4GXWpeHDiV+ZvK0dXNzTq1BWhXXuiVpOmip+bFaeC+npKS0zA5iVf4tKRg3rO0c6TcZ98AZ+g2oo7zfu+VtwhCx3g2Ia/sevHpaCEciXNt3Zd9HpiAuo0bylEFclaiIyq6kTVAbqvry/CwsLwxRdfVCoa2cyfP18G6HIFvdJ7RRpUTQH5AVA13bR4lWStRWpV97m6vBNjorFh8XxcP3cGnR4YidzsLLadNzPlVrngJLhlG3ZevWH7zrBzlMnleKnRdumYiJO6gLz0WdeyfVHt7Oa9+qNO81YIbNSEvTx/zAPsvwMmT0V+ejrO7NmOa2ciyrnh5uOHJl17sJV1v7r15HEFA0HRsYKTWzdixw/fFR8nAGBrZ88qH0Ts3Ir67Tqgz5PPwd2vhoE9Vt2suu/rqo8sryyrAGXlP7FpPfasXIHsjHTdy541AzH8tZmggL06TbKujnrqvFbVAfqAAQNw/vx5XLp0+xvfe2gok8S1w5EjR9BWBujqfKeZgVfyA8AMIBo4BcnaQKHMxEwU71s34uDs7g57J2dQQjJa1d3zyw+Iu3CunFIlW6tpC3zdFrS12tZM1BQ7Dcr6fe3M6dsB+XFQAr+7Nb/g+qjTrCU7dkBfjtAf/ePm6i9wJNy8ic1//oEBDz4MLy8v1lVq/E389dlHiLtYnhO9TkmuKFCnf5TUTLaKFUiOi8WmxQtBJdRKWq0mzdhZczryEXvuDGo1DjWafKLe10Zz2AIGoi/YKEg/sWWDbgcL7Ubq+ugYtBt6P2ztqnbERLI2v5tH1QH6jBkz8NFHHyEhIQHe3t73VP8///kPy+JeWEHtVvPDpj8j0RB59JIPBR61tG0rWWubH4/3kjWPWtq3VZL3mrn/wYVD+9nZ5trNW7KM8BS8l25Ujqhx5+5sZT0gpLFFr9bm5+Yi9lykLrEbfblRUU36Ev0oa/6giVPYKnlJbXqqY0+rdBSs12sTpqf13Vj/OOMVxF08z/IFhHTqynZAUOBetgU0aoLQruGMlzyuUKwO3c9H/lmDvSt/QH5ebvEvrazQa+wzaDNwqMmOCij5vtb+U8+0Mzi1bTM7AlFQcr8A8PQPQK8nnkX9tu25nZOsuSVT/QWiYzuhSeLi4uJw9uxZts3dxcVF9WKaykHREHnmIR8KPGpp21ay1jY/Hu8lax61tG+rJG8KLmMiT4FW11v07g9aQTq3fw8id21jgWjZRn+k0nl1Cta9A2tpX9xKZkDBHQXGtNsg+vRxXDsbWa6UXUkXtO2cAnE6txp/NQqH//qdBYJj5yyEn4Hlue7GmvIK3Lh0ATmZGajbojXL/UMrvhE7t+DE5vXlZkFnqcmOVtXpuIKDs7PZs6pogsRh41fzGcOybeALr6BZeB+T6aLk+9pkkzKjgfNycrDzp6U4t2+33nGgoNBm6P3kc+xoiaFNsjZUKe3YiY7thAbo2pHRtJ6KhsgzG/lQ4FFL27aStbb58XgvWfOopX1bU/Cmc+vLpjzPxKPMxhQYlm3+9UPQtHtPNO7SA3Se2hwafWFBQR1lWKegnL68yM26U4qp9Byp/Bmd56fWc+x4tB08XLe7gGpnx0dHISi0OZxc3QyWhpc11e5e/fFs1j+VzkuKidZLdkW/t7GzR4N2HdiXKsGt21V5m67Bk1CBYX5eHg6sXomDf/yq2xHi6OaO7qPG4fimf9D+vgfZLoPSyRSN7TYva2P7J8crVoCOsexb9ROOrf9Lb3dRSMeuGPTCKwbl6pCsze9uEh3byQDdBPeIaIg8U5APBR61tG0rWWubH4/3kjWPWtq3NQVvCjzPH9jLzkt3GPEwC9JpVf3M3p3ISE7SE9XKyhp1WrRiAWBIh87sjLtWGq1EJ1+PZavjrPxZxElk3y65VXYOlGm9bss2qNOsFZuvo4srvn7hCXYGnMpy0Wp1dRsva/I/4WoUzu3fjVb9BsPBxQUXjxxkW+ApeC+7/Z5eb9SxKyuxF9S0Gaytbarrsuqup50FG76aj6Rr0Trf6Euk3k88y7b9l61yYKoJ8LI2lZ9y3GIF6EvL1XNmI+VGnE4SVx9fhD/+VKVf9kjW5ncXiY7thAXo586dQ2BgIFxdXblUpzPoFy5cQJ06deBoIRliRUPkEVw+FHjU0ratZK1tfjzeS9Y8amnfVk28Kdvx2vlzcH7/ngqFtbV3QIOwjsWrta3aqjK5XGpCvG6FnOqRpycmVDwXO3sENg5lSeAK8vNRu3krPPLW+3q2VD/byc1d2E0mkvUv781ENNV4Lim5V6Zsm4uXN5p06cFY1ajXwKSrySIEzMvOxu6VK3B03Z96Jeq6jRyLjvc/ImIIoX2IZC3UMdnZXRWgLy7Xf/EZLh45oLeaXrtpC/R6csJdj7JI1uZ3U4mO7YQF6DY2NlixYgVGjx7NpXpiYiJq1KiBTZs2oXfv3lzXatVYNEQeHeRDgUctbdtK1trmx+O9ZM2jlvZt1cb72Ia1OLbuLxQU5KPH6CcQuXsHLh87jMKCfD2xaUtx407dENq9FysjZqrtxHSuvmTLOv2XVszv1miVnLY/UwK3gEahbDv45iX/RVFhAYJbtkVIxy6K3lAiWSdei2ZfpGSlp6HdkBE4u28XzuzegZtRF8vNwSswiCWXo9JtXgHayy1w5cS/2Pj1QqTG39C/B13dMOC5yWjYvpOi3KrSuUjWVRlfXlN1BSjJ45G/1+DQn6vu5KSwskKDdh0x8IWX2e6a0k2yrrrWar1SdGwnLEC3trZmdc2HDx/OpV1SUhIrNbZ582YZoHMpVzVj+VComm5avEqy1iK1qvksWVdNN61epUbetE2YSoWVnD2nIPDMnp3YvvzrclngSXePGv5sWzWt1voE1VYUBZ0ZpbPjLLHbqePsTHmFzcoKNerWZ9vVk2JjcOnIQWb27JfL4Objq6iPd+vcGKyvnDqOVe/NvOv8/Os3RGi3XmjcpTtcve5docckIpUaNDs9HdtXfIvT2zfrfuvhXxP9n30JGbeS2Zl7nhwAxpyPMVgbcz6WOFbKzThs//5bVgmjpFGJyt5PTEDznn11FQIka/O7O1QdoFfn23C5gm6cm1U+FIyjsxpGkazVQME4PkjWxtFZLaNohTcFwj+/PRW5WZnsrHZ6UiISY66Wk5G2U1OgTturXb19qi1zXm4OYs9GFq+SnzyOuEvn71n6jAbs8vBotB4wVLc9nTKkk69BTVvA3dev2j5VtQNjsKYdBae2bcLZfbtZEJ6elICze3fpZaom/+lvvNrNWhbnFujYheUhUFM7f3AvNi5eiOz0NOYW+dt2yAh0feQx2Dk4qsnVCn0xBmvVi2AmDm7473yc2r5JbzY1G4Sg91PPIaBhY0jWZgK61DRUG6AvX768WmoPHDgQ/v7+1epDKxeLhsgzb/lQ4FFL27aStbb58XgvWfOopX1bLfGmOuGXjh1if5RS8B1/5TJLNEcBYUkgVUKEkstR7fXi5HIUABqWXI7Og1PZLFodp1VyKgdHv6uoufmWlD5rxRKE/fb+W6ByaL3GPaP4dvWq3HnGZl2SMI3KydF5/J0/fMeYlW209b9+m/Zo0i2c/dfW3r4q0xNyDa2Mb126mCXGK90ade6GYS+/IWQMY3RibNbGmJMljxF7/iwOrvmVfUmYd7u6A+lBySPbjngEB4/9i/DwcHh6elqyTGYzd9GxnbAt7majsBEmIhoij8vyA4BHLW3bStba5sfjvWTNo5b2bc2B95q57+PCoX0MBmV5p1X20q10KbB6bdrBxtZO9zJlIr955XJxQH76BGIiT+v9AVy6Hyd3D2SlprBfUbK64a+9qTv7Tv2k3LwB2gJdnR2ASt5RpmZNX6YcW7+Wbfmv3bQ5yy1Q9ssPCs6pRBltg6/dvIXRMsHTlwkRO7di+/JvQGeAqVnb2LLM9cEt2yB8zNOaKvdnatZK3seW3DftHNr541L2xWRJs7axgWezNhj27Avw9athyfKYzdxFx3YyQDfBrSEaIs8U5AcAj1ratpWstc2Px3vJmkct7duaA2/6o5VKtFGATGWJKPCL2LUNl48dKhcAOrq6oVGnrvAJqouYyJOIPn2y3Op7CVUra2vUb9sBdZq3ZIndfGrXxR9z3mVfAlDtbxGlz4x5B6mFNWWrpjrvFAjTVnJKLke7Fco2ykFAwTqtrNds0EixLz5S42/i7wVzQCXUSlrNho0wYMIkeNSoaVAtamNyNGQstbA2xFdpw69AzJnTWDPnPd2XSdQDJc5sM2AIWvcfwnb0yKZdBUTHdjJAN8G9IBoizxTkBwCPWtq2lay1zY/He8maRy3t25ozb8qo/t0rE/TKYt2LGJVxq9WkKUsARvW/qYTYS0tXaqr2+r3mp1bWdG59zSf/YQGyi6cn079so4CjaXgflhzLp5aYRIC06+HfjX9jx4rvUJCfx4a0trVl1QPaDBpmtNV7JZ4iamWtxFwttc/oyNP4Z8Ec9n6he7mk0ZERysERNuwB+Naua6nyaHreomM7GaCb4HYQDZFnCvIDgEctbdtK1trmx+O9ZM2jlvZtzZl3enISO7dJSco6PvAo8nNycGb39nKZ11v1G8z+oK0Z0piVPos6fhTJcbFs1dy7Vm3FVm6NffeonTVl7qet5pQp/8yeHTizZ3uFZetYIsCu4WjctQfcvKuWEZ/KxFESuNizEXoYqGzf4IlTjI1G+HhqZy18whbaIeV3uHL2DHas+Q1ZUeeRWebLLSpB2fmh0SyxplqP3lgountOW3RsJwN0E9xloiHyTEF+APCopW1byVrb/Hi8l6x51NK+rSXwpj9iKfCzsbVlwBJjonHp6EF2lpO2vA+a+CpLTmbuTWusidn277/B0XV/3WUXhBW8AgLRsu9ANO/ZD46u+vWhK+JJZ973//4zDq1ZpTv+UHxkoSNCu/dEvdbtzOI20BprsxDdRJMoYd29W1fciDyFPStXsOM+pZtPUB20GzKCJc00ZRJGE0mkuWFFx3YyQDfBLSAaIs8U5AcAj1ratpWstc2Px3vJmkct7dtaKm8qn5Ycew1+dYJ19YS1T/PeM9Aq66z0NJbEj75Midy9A+cP7EFOZobeZClRVr027RFKmeDbtq+wFNq1MxH489MP9Eq+UbK/Pk8/X+WVeLXeM1plrVY91exXWdaUV2Prsq+QEH27DGVRkc59Jzd3tOo/hJ1Vl+fU1UtVdGynWIC+c+dOhIaGws+v4vqhCQkJiIiIQI8ePdSrtkKeiYbI46b8AOBRS9u2krW2+fF4L1nzqKV9W8lb+wwNnYG5sM7Py8PFw/vxz8K5oN0RZZudoxP86zVAi74D0aRzdxQU5GP/qv/h0J+/sZ0U1OisOW1lb9Spm1lu/TUX1obe25ZsdzfWKTfjUFhYiKP//MnqqNMRn5JGX2hRTod2g4fLc+oqvHlEx3aKBeg2NjZYsWIFRo8eXaGMK1euZK8VVPCgVqHuQl0SDZHHOfkBwKOWtm0la23z4/FesuZRS/u2krf2GRo6A3NjTWfVz+7fjeRr0SyvANWILiq6kyyLdLF1cICLh6fell87B0f0Hf8C6Ly5uZ7LNTfWht7jlmhnCOvs9HQc+OMXHP7r93ISBbduxwJ1eU5dPXeP6NhOsQDd2toaP/zww10DdAren3rqKeTlFWfhtKQmGiKPdoY8FHj6k7bqVUCyVi8b0Z5J1qIVVXd/kre6+Yj0ztxZUzbrs/t24eg/a8qdwSUd3Xz80HXkGDTq0EWTpdN47gVzZ82jhbnbGsqaqiUcXLMK/274G27ePrh147qeNF6BtdD+vgcR2lWeUzf1PSM6thMaoKempoJuOmrBwcGYP38+hg8fXk6z5ORkTJ8+HadOncLVq7fPW5haWSOOLxoij+uGPhR4+pS26lRAslYnFyW8kqyVUFW9fUre6mUj2jNLYZ2Xk41T2zfjxOb1KMjLY4FIyz4D0X30E3BwdhYtqyr7sxTWqhTfyE7xsqadJ3aOjog9E4HDf/+Bi0cO6CVhpHPqbQYOQ6v+g+Hs7mHk2cjhSAHRsZ3QAH327Nl49913DSJFZ4reeust0DWW1kRD5NGP96HA07e0VZcCkrW6eCjpjWStpLrq61vyVh8TpTyyVNaUub0kg79S2qqtX0tlrTYOxvCnuqwTYq7gpxmvIq/UGXXym+qpN+3Rm21/pyzwshlPAdGxndAAfdu2bdi6dStL6PHBBx+w1fPmzZvrqUNnh1xcXBAWFoY+ffoYTzkVjSQaIs/UqvtQ4BlL2ppWAcnatPobc3TJ2phqm34sydv0DIzlgWRtLKVNP45kbXoGxvKguqyLCgtx8chB7F+9Eg5Ozki6Fo305CQ999k59SEjULdFa7PN22AsXoaMIzq2Exqgl57Ak08+ieeeew4dO3Y0ZF4WZSMaIo941X0o8IwlbU2rgGRtWv2NObpkbUy1TT+W5G16BsbyQLI2ltKmH0eyNj0DY3kgijUtiFKwTokWz+7bjSNr/8DNqIt60/CtE8xW1JtQPXU7O2NN0eLGER3bKRagWxwZjgmLhsgxNMsRsGPHDoSHh8PT05PnUmmrMQUka40Bq4a7knU1xNPgpZK3BqFV0WXJuorCafAyyVqD0KroslKsKWD/edZUxJ6NLOcZ1VBvPWAIWvWT59SriO2el4mO7RQP0M+cOYOLFy8iKSlJV8uy9AzHjh2rhE6q7lM0RJ7JKvVQ4PFB2hpHAcnaODqrYRTJWg0UjOeD5G08rU09kmRtagLGG1+yNp7Wph5JSdZpiQk48s8aJEZfhYd/TZzevhn5uXfqqdM59WY9+qAtO6de29RSmM34omM7xQJ0ys4+ZswY7N69u8LAnIjQefSq1EFPT0/H3LlzceTIERw+fBhxcXEYN24cli1bVg409f/JJ5/g22+/RXR0NGrXro3x48fj9ddfB9VqN6RRtvmpU6eyuVDr1q0b5syZU+58vSF9kY1oiIaOS3ZKPhR4/JC2yisgWSuvsVpGkKzVQsI4fkjextFZDaNI1mqgYBwfJGvj6KyGUYzBmlbTKc7KSktl1RGOrvsLmSnJetOv1yYM7QaPQJ0WreQ59WreGKJjO8UC9MGDB7Ot1JQsjrZTe3l5VTj1unXrcksSFRWFevXqISAgAO3atcPatWvvGqC/8MIL+O9//ws6E9+lSxfs3bsXS5cuBf3+iy++qHTs8+fPo3379vD29sZLL73E7BcsWMAC3YMHDyIkJKTSPsoaiIbI44AxHgo8/khb5RSQrJXTVm09WwLrwpx8WNnawMrGCkUFRchPykLK2kvIT8uFzyONYVfTRW1YFPPHEngrJp7GOpasNQasGu5K1tUQT2OXmoL14bWrsWPFkgqVYufUh4xAk67h8px6Fe8l0bGdYgE6ZWqfMmWKwWXXePTIyclBQkICatWqhfz8fNjZ2VUYoJ88eRKtWrVigTXVZC9pkydPxsKFC3H8+HG0aNHinkM/9NBDWL9+PSIjI9nqOzVaiQ8NDcWgQYPw66+/8rjObEVD5HHAFA8FHv+krTgFJGtxWqq9J3NlTSsAGQfikLr5CgrT8+DQ2AuFqbnIi88E8ovuYLG2gu+EFnCsaxn1X82Vt9rfZ6bwT7I2heqmGVOyNo3uphjVFKwLCwtw8dABnNy2kdVM/3fj37h05KDe9OmcepsBQ9Gy3yBZT53zxhAd2ykWoPv7+2PWrFlspVrJdq8AfebMmWwF/9KlS2zFvaRdvnwZ9evXx4wZM/D+++/f1T3aSu/j44ORI0di+fLlena0pX7lypXsiwJXV1euKYqGyDO4KR4KPP5JW3EKSNbitFR7T1pnnZeYhdR1l5EbmwGHum6AjTXyb2Qi70YminILDJLfqZUfvB9qBCs7a4PstWykdd5a1t7YvkvWxlbcdONJ1qbT3tgjq4V1UmwMjv7zf/beAzyu6kwff6dLo95lufeKMbYxHWMwJQFCDZCEULMhsEk2JCG7LL9CdvP7h03CprCbQDYFQiCQEEJvppkANgbj3ptcZFuS1aWRpur/vGc0oxlZlubOnJm59845z+PHkubcc77zvvfeue/9vvN9z2PDm68B/YMvve0OJ+YsPT+8T32s2qeeyPkhW9ulTaDffffd2LJlC954441E1pV0n5EE+sUXXyy85NyjPrTxBcIpp5wivOMnaqtWrRJh8QyRZ8m42Ma/8eUD+5x++uma7JdNopbJ9XJT0GKz6pscAorr5HAz4lFG4Lo/GELPJ43wHeqCNd8Oe3k+/I098B/1wH+0B/29gdGhtwD2KjcctW44qt2wFjjQ8co+9PtD4ljnhCJUfHkObEXO0ccycA8j8G1geHVluuJaV3Sk1RjFdVrh1dXgeuK65dABPHbP10W5NrvTFZdQjqCJfeqXXokJ89Q+9ZFOItnaLm0CnYnVbrvtNhGGTiE7adKkYZOy0ZOdShtJoDN83el0imRyQ9vChQvh9/vBMPgTtb/+9a9giPsLL7yAyy+/PK4b/3bFFVfgmWeewTXXXHPCMY4cOQL+i20Ml7/xxhvx7rvvihD8TLauri4RYs/1FxUVZXJqNVeGEVBcZxjwLE6nJ65DLV4Em3rR7w3CVpOPULMXoWN9CDX3IbivO2GULKVOWCtdsFblhf9V5sFa7oTFHu8h53y9z9Sjv80nxrYUO+BYXAFrsRP2WeYMedcT3wkTqjomhYDiOinYDHmQ4tqQtCVltN647m49hs1vvoYZZ54LCvbNK15B66EDcWsrHzcB85ZfgimLzwAzwasWjwAdwuedd57QnNRYqba0CXSr1SoyAkayCJ7I0GSyuMeONZJAnzp1KugpZ2K4oY2e8aamJuzevfuEGD7++ONgGbjXX38dF110UVw/RgbQQ88+FNsnavfffz++//3vD/vxgw8+CNqomkJAIaAQMBQC/YDDZ4Grz4aeogBcvTbk85/HhqpGF+wBK/rRDwssoy7L5wih1x1Enzsg/hc/5wcRSqzIhhjf5rdgyq5CFHeEHxoicx8d04uGSb2j2qA6KAQUAgoBhYBCQCEQRoDarbfpCJpWr0SgJ/7Fui0vHyUz5qJk2mzY8vIUZAMIsKQ4c6/pXqBTmFKgj9a4Tz2Vpjzo2tDT21s7bdar3loQUFxrQcvYfdPJNT3hoNfaAvS3+4Qn3PdRM0KHB4QvHdrhCPORW54N1jKn8IbbxuSHPeJVebDkFov6EQAAIABJREFUaVDiI8zAzO6+tw7D/2lrtJdtahHyrp2Y0HfRaObr6fN08q2ndSpbAMV17pwFimvFtZ4QCIVCeO7f/xVthw/B6S5A0O9H0B+OVGOzOZyYfsY5mHvBxSitrdOT6VmxxTAe9Eyho/aga0NaT/tetFmuemtFQHGtFTHj9pfJNd+cBzu86Pn4KLo/PIz+3iDsVfkItHmBwOhKnEnabCUuOMYUiD3hLH/Gf9ZCR0aEcveqw2h/YQ/d6KK5T6lG2dXTTZU8Tibfxj3rc8NyxXVu8MxVKq4V13pDIBQMYteaD+HMy0fN1Ominvr6119CT3t8PfUpC08V+9THz52fke95veFEewyzBz1T4I0k0Jml/Yc//GHasrg/9dRTaGlpUVncM0W2mkcTAurLXhNchu6cLNfehi50vloPf5MH9sp8IcBF5nR6zUdrFsBW7IJjfCGc44rgqHHDUVMAW6kLFuvo0VOjDZ/K53272tDyxHb094UTz/FFQfmNs+Hd1Q73gmpRS93ILVm+jbzmXLVdcZ07zCuuFddGQCDg9+Pt3z2MTW+/fpy5VRMnD9RTPxc2e27tUzeUQG9tbQX3Wb/55ptiv/cTTzwhsqKzNNkvfvELUb5szpw5KZ2PIwl0hhswU/uJ6qCvX78e8+fPF/MzYRz3D5SUlGDMmDFRm5gAjnvQt2/fjnHjxom/R+qgcw86E8lpbbJJ1DK/+gLQgpax+yqujc2fFutH4ro/1I/uDxvgre8UCdZsbofImk4hHurxJzQNRbdzfFiE22sKwv9X5Ota6LJWestjWxE4Fg7FZyh9f18QzsklqPjCLNiKjZvpXV3bCZ22puikuDYFjQktQnGdEEym6GR0rt9/6nF89Lc/w2q3Y/zsudi/aX0cLwVl5eF66ssvQX5RsSk4G20RsrVd2pLENTQ04KyzzgL/nz59Onbs2IEVK1bg/PPPF2ucOXMmLrnkEvz85z8fbc3Dfv5f//VfIhyIeyS4j51C/OqrrxZ9P/e5z0WFN8ujPfLII7j11luFPR988AF+//vf44477sDDDz8cHbu+vl7USmd980cffTT6d9q9ZMkSUQ/9m9/8pvg7Xy7Qc75mzRqxDq1NNola5jf6TUHLWnO9r+I6d84Acr36tb9j4bi5ImGbvTxPCPDAQBkzhqwn0mxlLuEFF2XMagpgp1e8ym3Y8PCQx4+WJ7fDu7t9cPkOK2rvXiQwMmpT17ZRmdNut+JaO2ZGPUJxbVTmtNttBq47mo7i6J7dmHnG2WhpOCjqqW9d+TYCMfvUWbZt7tILRD318rqx2oEy0BGytV3aBDqF7osvvihKidXV1aG6ulp40iMC/Xvf+x5eeeUVsBxbMo1l2/bv3z/soRTgt9xyi/iMHvYf/ehH+M1vfoNDhw4JL/hXvvIVcH673T6qQGeHjRs3iv4U92xnn302/uM//iP6EkCr/bJJ1DK/GW4KWtaby30V1+Znn/vFfQe70LbqIHwbWmANJRa6bS1yhIU4PeHVbrFfnD9bXYP3RLOgx/rr7S/uRc/qwXKXxRdPRNF54w27V05d22Y5O0dfh+J6dIzM0kNxbRYmR1+HWblu2L4NT/3fe4YFILxP/SqMn3uSYb97R2JWtrZLm0BneTN6qf/t3/5NeJurqqriBPqvfvUr3HvvvcILnmtNNola8DPrTUELBrnSV3FtTqZD3qBI4MZ94p51TdEQ7uFWa8mzC2+4SNpWVwDX+CIRom4ryK29YcRGJI97cU8047x7QRXKrpmBYLcPFqfNUJioa9uc1/Zwq1JcK65zB4HcWalZr2uGur/xyEPobG7EqZ+7BvXr16L5QH0csVWTpmD57XehbsYsUxEuW9ulTaDn5eWBYej0Vg8n0BkmToHe09NjKoISWYxsEhOZM9LHrDcFLRjkSl/FtbmYDvUF0PF6fdgTPJChPHaFXlcQ7tpiuCeXiX3WzjEFsBY5TfmmOllmhyaPc4wvQr8vIPaml39xNlwTjbFXTl3byZ4BxjtOcW08zpK1WHGdLHLGO87MXDPz+771a0GPOduBzRuw9uXnsG/dJ1Gibv3pwyivC+f1MkuTre3SJtBnzZol9pj/7Gc/G1agX3fdddi1axfWrVtnFm4SXodsEhOeWJXx0AKV4fua+QvA8OQkuIBQIATf3g70fNqIvi0t6PfHlzmzFjhAT3Bwuhvvb1+DpectRWlpaYKj52a3ocnjIijkn1SJii/NNgQo6to2BE1SjFRcS4HREIMorg1BkxQjc43rgM+HR+68GX5vHyafshhXfOc+KTjqaRDZ2i5tAp2J25jB/e2338bUqVNFiPtbb72FZcuW4bHHHsNtt92GBx54APfcM/xeBT2BLtsW2SRqsS/XbgpasDFbX8W1cRntXHlQeMqDXf7ja49bIPaMF507DhSVFptV1c/VSPVwyePKrpuBgoU1GkfKTnd1bWcH92zMqrjOBurZmVNxnR3cszFrrnHNuulvP/prVE2YhNOuus6UkX2ytV3aBHpvby+WL1+OTz75BIsWLcJHH32EM844Ayy9xszoTLTGpHEOR+7thZRNopabS67dFLRgY7a+imtjMRrs8sGzoRmeTxvhP3z81h/nxGK4F1bDfVIlrO74+6biWjvXInncS3vRsyomedxFE1G0LJw8jiJ+KM7aZ0nPEYrv9OCqx1EV13pkJT02Ka7Tg6seR81VrpnYlt+vZmyytV3aBDrBZ21xhrg/9dRToo44S6Kx5NoXv/hFfPvb34bTadw6tKmcXLJJ1GJLrt4UtGBklr6Ka/0zGWjtQ8cb9aIeuXdPezSBWcRyi8MK96m1KDqrTtQdP1FTXCfP9XDJ44g5a6iXXDoZBUtqdfdAofhOnm+jHam4NhpjyduruE4eO6Mdqbg2GmOj2ytb26VVoI++nNzsIZtELSiqm4IWtIzdV3GtT/5EabT9neh65yD6drQdZ6TFZROh6/lzKpA3uzwhcai4To3rocnjYLMAwXAmvup/XADn+KLUJpB8tOJbMqA6Hk5xrWNyJJumuJYMqI6HU1zrmJwkTZOt7dIm0LnHnGXWTjvttGGXumbNGjz88MP43e9+lyQUxj1MNolakFA3BS1oGbuv4lpf/PkOd6Nvawt61jUh2NJ3nHF5M8vgXliD/DnlsDhsmoxXXGuCa9jOwyWPy19QhYob9FcKRvGdOt9GGUFxbRSmUrdTcZ06hkYZQXFtFKYSt1O2tkubQLdarfjjH/8owtmHa08//bT4LBgMJr56k/SUTaIWWNRNQQtaxu6ruM4+fyyN1vb87nAGdl98BnZaZy12Im9aKYovnAh7WV7SBiuuk4Yu7sChyeO4xaD8+pnIn1cp+vWH+mGxZn//nOJbDt9GGEVxbQSW5NiouJaDoxFGUVwbgSVtNsrWdlkT6L/85S/x3e9+Fx6PRxsCJugtm0QtkKibgha0jN1XcZ0d/vqD/WDINJO99W5tPS4Lu7WIpdGqhbectcplNMW1DBTDY5C/9pf2DJs8rv2FPSL0vfTyqaB4z1ZTfGcL+czPq7jOPObZmlFxnS3kMz+v4jrzmKd7RtnaTqpAf++99/Duu+8KDO6//35cffXVmD9//nGYtLW1icRx48ePB0Pdc63JJlELfuqmoAUtY/dVXGeWP8+mZnS9exDBNi9CnsBxk9vK81B8/ni4T6mBhXucJTbFtUQwB4bqXn0YQpAPBD4wiz5zB7DlzalA5U1z5E+a4IiK7wSBMkE3xbUJSExwCYrrBIEyQTfFtQlIHLIE2dpOqkD//ve/D/5jYxp9JkM6URs3bpwIgT/33HPNx9IoK5JNohYA1U1BC1rG7qu4Tj9/wU4fPOub0PPREQSG2VfunFwM9ynVyJtVDnuxK20GKa7TA+1xyePsFiDUj+o7s5s4TvGdHr71OKriWo+spMcmxXV6cNXjqIprPbKSmk2ytZ1UgU7POOucU5jPmDEDDz74ID73uc/FrZjCvaCgADU1NakhYeCjZZOoBQp1U9CClrH7Kq7Tw1+wL4Cej4/Cu6sd3l1twND3kHYripfRU14Ne3ny+8q1WK+41oKWtr5Dk8dZ3XZU3n4SnGMLtQ0ksbfiWyKYOh9Kca1zgiSap7iWCKbOh1Jc65ygJMyTre2kCvTY9axcuRKzZ89GdXV1Ess09yGySdSClropaEHL2H0V1/L4Y3IwX30nOl7bB9+BruMGtuTZ4ZxQhPzZZXAvGQOrLbP7kxXX8rgebqSRksfxs7bndqPks1NgL01flESsXYrv9PKtp9EV13piI722KK7Ti6+eRldc64kNObbI1nZpE+jr16/HggULRlw196HfcMMNcpAx0CiySdSydHVT0IKWsfsqrlPnz3+sVyR787A0Wps3fkALROi6e2E18mdVqKRhqcOt6xGGTR534UR4D3TCu6MN9KxXfXU+HLVyEv+NBIa6tnV9qkg1TnEtFU5dD6a41jU9Uo1TXEuFUxeDydZ2aRPoeXl5+MEPfiAytQ9tnZ2duPPOO0WiOFVmbWFGTyx1U8go3FmdTHGdHPzBbh863zmI3vVNCPUcn+wNNgtcU0pQfMkkuMYWJTeJ5KMU15IBHWG4ocnjmJU/1OWHY3wRqu+YD4s9/dETiu/M8Z3tmRTX2WYgc/MrrjOHdbZnUlxnmwH58xtGoF933XV45plnsGzZMvzhD3/A2LFjBRrM9H7zzTfj8OHDItP7vffeKx8lnY8om0Qty1U3BS1oGbuv4jpx/vqDIfTtGCiNtq1VlNKKbaxXzj3lBdxXXuMWSTD11BTXmWWjb3cbWp7Yjv7e8AscW4kL5TfOgmt8cUYMUXxnBGZdTKK41gUNGTFCcZ0RmHUxieJaFzRINUK2tkubB52rfuyxx/DNb34TdrsdDz30EDZs2CASx02bNg1PPPEEFi1aJBUcowwmm0Qt61Y3BS1oGbuv4npk/pjM0ru/E91/b4CvvmNYb7m1wIGy62Ygb3oZLFZ9ifLY1SmuM3+tcvtDy6NbEDjWOyDSnai4aW40eVzvthZYnDbkTS2VbpziWzqkuh1Qca1baqQbpriWDqluB1Rc65aapA2Tre3SKtC5yvr6elx11VXYuHGjWPRXvvIV/OxnP0N+fn7SIBj9QNkkasFD3RS0oGXsvorr4fkLdnjRs64J3e83INTtP64Tw9edU0qQN7MsYx7RVM80xXWqCCZ3vEge96ftIqM/m8VhRdl1M+EcU4DGh9ah3xdEySWTUbR0XHITnOAoxbdUOHU9mOJa1/RINU5xLRVOXQ+muNY1PUkZJ1vbpV2g/+pXvxL70G02G7q7u7FkyRLhPZ86dWpSAJjhINkkasFE3RS0oGXsvorrQf5CviB6t7SIhG/e3e3HlUajp7zw7Dq4F1TDXpaZ0mgyzy7FtUw0tY01XPK4vNnl6ONWCQAll01B0dnhLV6ymuJbFpL6H0dxrX+OZFmouJaFpP7HUVzrnyOtFsrWdmkT6M3Nzbjtttvw8ssv47LLLsNvf/tbsPTa1772NXi9XuFFv/3227Wu3xT9ZZOoBRR1U9CClrH75jrXLI3m3d0mEr6xRNrQeuWWfDssdgvyT65C0XnjYS90GpbwXOdaD8R1rz6C9hd2A6GwNc7JJbBX5KHsmunScxYovvXAeGZsUFxnBmc9zKK41gMLmbFBcZ0ZnDM5i2xtlzaBXlNTIzzmP/7xj3HXXXdFMWpoaMAtt9yCt99+G1dccQWeffbZTOKni7lkk6hlUeqmoAUtY/fNRa77AyGxJ9izvjlcGq1jSGk0mwV5M8tRsLBalEjLRMbtTJxFuch1JnDVOkff7na0PLEtmjyOmd0rvzwHtuLwyx/mPejb2oq8OeUpiXbFt1ZmjNtfcW1c7rRarrjWiphx+yuujcvdiSyXre3SJtAXLlyIJ598ErNmzRp2Lf/5n/+J++67D7294QQ7udRkk6gFO3VT0IKWsfuakWuGqvubPAh1+hDs8iHY1odAmxf+oz0Itvah3z/gvhyGOmZfr7h5LhzlxgthH+1MNCPXo61Zr5+L5HGPbUGgeSB5XLFTnHfOsYXoeu8QOl7Zh/x5FSi7dgasefaklqH4Tgo2Qx6kuDYkbUkZrbhOCjZDHqS4NiRtIxotW9ulTaD7/X44HI4RF7N582bMmzfPfCyNsiLZJGoBUN0UtKBl7L5G5DrQ1oferS0INHtgcdlFubNgex8C7V4hePq9wYRJYekr98JquKaXwlHlhq3IuCHsoy3aiFyPtiYjfx7qDaDlyW1xyeNKr5qGjpf2IuQJwJJnQ803F8Ke5MsixbeRzw5ttiuuteFl5N6KayOzp812xbU2vIzQW7a2S5tANwKY2bJRNola1qFuClrQMnbfbHPNPeDMco1QP2zFLhHey6zp/mYPOt/YLzzgFM30IgoR3ubVJMCj7NgssLrtCHX5AbsF7pOq4F5UA2Zj13NpNJlnV7a5lrkWs4zF5HEdL+9F94eHo0sqPKsOfXvaUXLhJOTPrUh6qYrvpKEz3IGKa8NRlrTBiuukoTPcgYprw1E2qsGytZ1UgX711Vfj7rvvxjnnnCMWwmRwTA535ZVXoq6uLm5xL730Er73ve9h69atoy7abB1kk6gFH3VT0IKWsftmguu+Ha3hOtAOKwoW1yLI0PMBsd3+t13o94XADOkU0BTgCJw4BP1EaLN0la3MBWuhE8F2L2yFDuEVz5tRDnupC1Z6xvv7xeEWm9XYpCVpfSa4TtK0nD9saPK4/PmVKP/8DFgctig2wU4vLHl2WJ2DfxsJOMV37pxWimvFde4gkDsrVde1+biWre2kCnSr1Yo//vGP+OIXvyiQb2lpQXV1NVasWIHzzz8/jg2WWrvpppsQDCYesmoWOmWTqAUXdVPQgpax+2rhmsnVgj1+hLp8cNQVxnmeO989KEpGhQJBVH5hNgLtfQi2eUXYec/qIwj1+AGrJQxWKCyUtTRmU6fQtpXlwVbqFF50e2U+nGOL4BhbKMS9xTIwvpaBc6ivFq5zCBbdLPW45HHjClF5E5PHuUTehKaHN4DXYMWXZsNR7R7VbsX3qBCZpoPi2jRUjroQxfWoEJmmg+LaNFRGFyJb26VdoFdVVeHNN99UAj3mXJRNopbTXN0UtKBl7L5DuWYitb4dbSK0vOjcsUIcRFr7q/vQvfKQ+LXsCzPR3xsMJ2Br94q64UKEJ9ksLpsQHfSC20rzYKc3vMQlkrXZ6AFPMlFWkuaY8jB1Xeuf1hMlj+vb1oLONw+IBbDkX8UXhk+sGrtCxbf++ZZloeJaFpL6H0dxrX+OZFmouJaFpH7Gka3tlEDPAreySdSyBHVT0IKWMfty73fvpmPwjrPhvff/jqVLl6KkpATdq46g44U9YlEFZ9TBYrNERXigyTNiBvQTImEBrIUO2Cm8K/OFCOfPYTEe/pkh6qqlFwF1XacXX1mjnyh5XN/ONvgOdKHm6wtgdY+cXJW2KL5lMaL/cRTX+udIloWKa1lI6n8cxbX+OdJqoWxtpwS6VgYk9JdNohaT1E1BC1rG60svecuT20HBbZtehJbmFpQ7itDfGUguAZvdEhbcDEGn4BZh6AP/U4QXu4TQVy27CKjrOrv4a5l9uORxRcsnoOC0WtiLBqNaOCbLCg63L13xrQVxY/dVXBubPy3WK661oGXsvoprY/M3nPWytZ0S6Fk4R2STqGUJ6qagBS3j9Q12eHHkxx8DgcT2gluctrDXOyq8w2HoEU84veO5kgndeGwPWqyua+Ox1/3REbQ/vyeat4Hh7eXXTo8mj/Me6ETLY1tRdvU05M+tjFug4tt4fCdrseI6WeSMd5zi2nicJWux4jpZ5PR7nGxtJ12gf+UrX8Hpp58uEOzu7hZZ3b/97W9j9uzZcaiuWrUKv/vd71SSuIULM3q2qZtCRuFO+2QsWcYa3/3BEHo+aUTnWwcQ6vRF5w3aQnBUuuGsLIgmYuMe8MhecCZoUwnY0k5T2idQ13XaIU7LBCy51vLHbejvDYjxHQPJ4/jirPGnn4Iv3NhqvrUQjtqCqA2K77TQoctBFde6pCUtRimu0wKrLgdVXOuSlpSM0r1A17I6CgOVxV0JdC3njOobRsDf5EHHq/tEdvXiCyegZ20Tgq19UXiY+dx+eiVWd2/FuecvRWlpqYLOxAioL3vjkjtc8rjym+bAt68DHa/Wo/CMMSi9fGrcAhXfxuVbq+WKa62IGbe/4tq43Gm1XHGtFTH999e1QF+5cqVmBJnAKteabBK14KduClrQ0m/fvvoOHHt443EGMmN60TljUXj2WHT2dYPXJK8xJdD1y6UMy9R1LQPF7I0xXPK4ss/PgL08T3jOLfbBRIv9/f3o6OhQ13b26MrozOrazijcWZ1McZ1V+DM6ueI6o3BnZDLZ2k5qiHtGEDDBJLJJ1AKJuiloQUs/fVkjmQ/pfDj37mpHxxv18B/qjhrITOkFZ9ah6NxxsBWEs0ArrvXDX7otUVynG+H0jz9c8rji5RNQdMGEuG0o7S/ugRcBrA5ux9Lz1Mu39DOT3RnUtZ1d/DM5ey5yzW08HW/sh2tSMdwLq2Gx5UbVl1zkOpPXUjbmkq3tlEDPAouySdSyBHVT0IJW9vsGu33oevcQejc2o/Ta6eh655AIfY02mwUFS2pRvGwCbMXOOIMV19nnL1MWKK4zhXT65zkuedz8SpR/foZIHufZ2IzWJ7cLI45VeTHp9sUqOib9lGR1BnVtZxX+jE5uZq5DfQF493cCwX7kz6mI4trvD6Lh/lXi784JRai68+ScyItjZq4zetHoaDLZ2k4J9CyQK5tELUtQNwUtaGW/b9f7Deh4ae/xhlgA98IaFF8wQYTBDtcU19nnL1MWKK4zhXRm5jlR8jh/Uy9an9qOkCeAbXPaceplZyuBnhlKsjaLurazBn3GJzYz10d/8gkCx3rhqHWj5luL4rA9+uAnCDT3ouTSySg6Z1zGcc/GhGbmOht46mFO2dpOCfQssCqbRC1LUDcFLWhlty8ztHe+Xo/ezS1xhuSfVIniCyfCUe0e0UDFdXb5y+TsiutMop2Zufgwe+yxLeLBlc1a7ETlTXNEpEzb9qP44Mh6lV8iM1RkdRZ1bWcV/oxObnSu+3a2wbOhGf7D3aj++imw2CxR/Fr/vAOeT5sACzDmX5cg0NKHvl3t8O5qg7/RA5Z0LbtmOvKmDCa0pcc90OiBe5H5Qt+NznVGLwyDTCZb2ymBngXiZZOoZQnqpqAFrcz15R7znk+Owru3A8WXTELXWwfh+bQRiClnnjezDMUXTYJzbGFChimuE4LJFJ0U16ag8bhFiORxf9oO78428RlzTTB5nG+CIy5JXMjjR+fKQyhZPiFaR92ciOTeqtS1nTucG4Vr5svwH+kW0XtWdzjnDVvn2wfQ+cZ+8XP11xfAOa5I/MzcOb3rm9C7vQ2hbh98h7rR7w0OS2zerHLhgOBzTtMjG8WWPlt5nig1aXXaTHMyGIVr0wCegYXI1nZKoGeAtKFTyCZRyxJ4U/j72ytxjiq9pQW2tPdte343elYdCc9jtQChQWXunFSMkksmwTWpRJMd6gtAE1yG7qy4NjR9Ixo/XPI459nVWBUIJ4krKS5Byx+2om97KxxjClB561zYil3mBSTHVqau7dwh3Ahce/e249ijW9HvC6L8hplwL6iOEkQHQ/P/bISjxo2iCycBoZBIatu3qw3BNu+wRIqSsJX58B3oivvcNb0U3n2dQCCE/PmVqPjibFOdCEbg2lSAZ2AxsrWdEugZIE1PAr2ttQ1tP92IvJpClJ49Pu7mmgUo1JQA6P1qf60enjVH4/BwjC1EycWTwC8qi2UwVCxR0NQXQKJIGb+f4tr4HI62gqHJ49rKfRh38wIUu4vQ/MjG8P7OcYWovuNk4WlXzRwIqGvbHDwmsgq9cM2Xgn07WuGt7xRb6QoW10TND3b6cOT/+0j8XnD6GJRdOU383B8MwVvfgb7tbfDVd8J3qCsuAjA6gM0C18RiuGaUIW9aKRx1hbBYLfAd7ELHiv3RaKFIf3tVvnBQ5M+tHLSh24e+ra2GDn3XC9eJnJeqT2IIKIGeGE667iWbxEQXG+zyofGR9QgdC7/JZPmekgsnJnq46icBgUiZtEBrL9ynVKP7/cPoeu9QXLiXvTofJRdNQt7ciqSEecRM9QUggTCDDKG4NghRKZrJ5HGtT2wTSeLYLGVOVN88D7ZSF9pf3AuWZbOXDZ80MsWp1eFZQkBd21kCPgvTZotrbqWx5tujK+4P9ePw91eJ5xI6CKpuPykOjda/7ISt3CXEe6jTh77d7fDu6RBe9eGavdqNvOmlQpS7JpeMGKpOkd/55gF4d7cPDmUB8udXifubo8qN9lf3oXvlIdjKXKi8bZ74m9Fatrg2Gk5Gsle2tlMe9CywL5vERJcgPDB/2x3tzjeTrDuZP69S3OB6t7Wg652DyD+pCgWLquP2FiU6h+o3MgL8YvOsbRRh7NY8W/RBm0dxnxWzslO4841yqk19AaSKoHGOV1wbh6tULQ209KLpsc0INfWFRbrDitIrp6Fg0aCXKzIHH3btVW7YCgb3iaY6vzo+swioazuzeGdztkxz3fFGPTxrmwArMOafl8Qtvfl3m4U3m+HnNd9ZJJwFwR4/vHvawWRwFNDB9hOErRc4hLDPm1YmhLmtRPuWG4bS06PuY5h7pFGon1wlQub7ewLimamWthmwdnqmuc7meZ0rc8vWdkqgZ+HMkU1iokugp7bjrf2AN3TcIfYat8iuGTjqEZ/V/supsJcqT0yi2CbSjyFgbc/thufjxrju1iInii8Yj4LFtbDY5YWmqi+ARFgxRx/FtTl4THQVbc2t2P+HT1HZPPjgW3BqLUo/NzUa3s6Q98b/Wgdrnh0VN86OJmxKdA7VTx8IqGtbHzxkwop0cM0EtL6GbhF2XnDGmDjvdfsLe9D94eHwM9+9S2CmPOkJAAAgAElEQVSPEdL+oz1CuDPy0rurA3272+Bv6B4+bN1uETlyhJd8ehkctQVSnAwi4nBPu0g8F7dH3QIxh3tRDYrOHhulhp7/3k3NIhxe5rNUOrhPB9fpsFONmTgCsrWdEuiJYy+tp2wStRjW1tKK9S+uxmznBIR2d8V5cKPj2C2iFqXwrNcViDenHa/ug7XAAZb4UiGUiSHOMmkMHWMm096NzeJtcLAl7PViY3KUovPGi31c6chOqr4AEuPJDL0U12ZgMfE1RPg+s/QkeFccEYmU2Hi/rvjSbNgr8tH6zE54Pgm/DCz57GQUnZsb9YUTR9EYPdW1bQyeZFiZDq4pwCnE2Sr/4STkTR0sY9a7+Rg63zkI16RiFJ4zDrYSpyjrKDzku9rg3cew9eMdOuJeU+sWYjxvehmYyDYdzzARTCNbA+nx9x/qHoTaakHBqTUoWjYB9lIXuJ6WP24TW37Kr58pwun12tLBtV7Xmit2ydZ2SqBn4cyRTaKWJcTeFEqKikVZL97Uere0INTtP24ohhCx7EXP6sNACMPuR9Iyfy705ZdJ+/N70PPREVG7mHu7IpEJXL/FZUPh2WNRdM5Y4d1KV1NfAOlCVn/jKq71x0k6LYrl2+2xi33prCss7i95NpR/fiZYlrH95b0IdflQ/qXZKeWzSOda1NgjI6Cu7dw5Q5Llml7urncPiqRuhaePAaNpIs13uBtNv1gnfmX5Mm6ji23Bbp8IV4/UJGcSuOEa65RTjEdC123FzowTw2crVqvoXLEf/sM9g/PbLChYUisSzQkBb7Og9p7Fuo4CTZbrjIOuJkwYAdnaTgn0hKGX11E2iVosO9FNgaFBDIESYn3zMZzoJu2aWoriCyfAOaFYhDDxi8HzaVPYs16uQuIjXBxj2aOtLfHU2K0oPHMMipaOz8ieUPUFoOXKMHZfxbWx+dNq/VC+Q30BtP1lp3jRGmmF544TVSCEaLcN5rTgQy5fxtqKMv+ArXWdqj+gru3cOQtG45rXLqPweL1HaowTHf7OpG7oh8hhQ+9xpPHZrvv9BjgnFova4mwU8vSQcy93nNCNhdpuhWty8YAoZ9i6Wzcv+YRQ39KCzjf3wz+wLVOYbreI0HdWsyi/cnrcicM97eK5VeI2wlTOzNG4TmVsdWx2EJCt7ZRAzwKPsknUsoREbgpCrB/sCov1TceGTQRiLXKEy15YgZ4Pw/W7mU0zb0aZFnNM0Zdh7Nxfbit0wru/E52v14vIhGhjGNaSWhSfPz6j9YkT4doUBKhFqIf4HDsHhru2+dDKB3FuR2K0ExtDT1k/ONbb1fX3BnS9c0A8xOfNLM8x5Iy3XHUfNx5nyVo8GteND60T+8Cd44tQ/Y8L4qZp/MWnYssinSWll04ZFOj9/Qg0eoQYp5fcx7B1/wnC1scURMufcU+53ss1ij3nDNN/cz8CTb3RNdPugjPqUHTuWPFcFmjtw9GffCLug6WXTRHbN7PdRuM62/ap+bUjIFvbKYGunYOUj5BNohaDtN4U+NDHL4SIWI+EUR43pwUov3E28meVRzNqUqzaCh1iP6QZG0W5eNhdeQiuiUX0U4nwq8FvCYg686L0URYw0Mq1GTnKlTUprnOF6fA6R+Kbmdtbntwuyh+xMTS1/AuzxN5TJn7igzwFvCXPjjH/cmpat9nkFivpWa26ttODqx5HJddrXnkfC0pnwNYWFNdtbEWXlie2CacJq8DU3X9G3L5vetEjW+ZEYjcRth4W5dzmMlzjFjzWIqdjhdGRRo2qEUJ9Y7Moz8bkmJFmcVpReNbYcKTnQD6Oii/PQf7ciqzTr67rrFMg3QDZ2k4JdOkUjT6gbBJHn3GwRyo3BSHWj3pElszezS0INIUzvsc2PvTlzykXb3E7Xq8Xe6+Hq6OpxWa99iUejT/7VLydHtr4BVB80UQ4agqyZn4qXGfNaDVxUggorpOCzbAHjcY395W2PrVjsJawBSi+eJLIfdH99wZ0rqhHxZf08aBqWBIyZPhoXGfIDDVNBhAg17seX4MxDWGnRs3dC+OeITybjonoRiZ1o6iOhGv3+4MibJ2C3LurHf4jMfuzY+ymZ9k1pWQguVspWJ+cSYDN0vqD/fCsb0LnWwcQbB1MyGtx2kQCTQr56jtPjluzv8kjtmdmOvRdXddmOesG1yFb2ymBnoVzRDaJWpYg86bAGxvf5tK7fqIvBNrmmlaKipvmRN/2RvZRsb6mkRpv7tzjxf2cgfY+8bZW1DTvH1yFa0YZSi6aqIuSRjK5NhJPuWir4jq3WE+Eb96vGPrZ9fbBKDhM+Fl+3QxRXWJoVA/vy2Z6WDfLGZEI12ZZay6uI/a6I9frnvsQ07cXgaKy/AszkT/7eG+vcJYc6Yl6yb2sFT5QySEOQ5YjqyuMlj9zTdTPHux0cs3oRuZGEkI9plY7E2iyQlHhWXUi2oD9GPrOZzgm0CtYVJNOs+LGVtd1xqDO2ESytZ0S6BmjLn1vWbQsIV03BYYVeQYSzMWVwRgwjm9u+XDIvT/cv37s15tEMo+SyyYjb5q+961HEpKwxAfrboY6fOj+6AgQHFTmTMBScvFEuKYMljDRwks6+qaL63TYqsZMDQHFdWr4Ge1oLXz37mhF29M7oiU1bWUuUYotNskUayUf+91muBdWo2DxYAZoo+FiRnu1cG3G9Zt1TUzEy3wRrJRTcuFEsUxy/fe3V+LMOUtQPr02Lrkj+wsP+UDo+nBVdzgGS6WFy5+VhsPWC3M3GSTvaz1rG9H19gEEOwbD/Fnilkk0rS6bqLjDxpK3JZeEk2pmoqnrOhMoZ3YOJdAzi3daZpNNohYjM3FTCLT1iRB4etZ9+zuPN48RVQPatvIr8+IEOm+omQ41Gg2/kMePww+sAYapB8qwKYaOinAznYWKZYLr0bBTn2cGAcV1ZnDWyyxa+eY9mftXoy9PbRaUfm6qSF7J+1bbc7vRszqc7LP0iqkoPKNOL0vNeTu0cp3zgBkAALE97qefhrcJ2i2ovXuRiGiJ5brYXSQSunEPOYX5cFvpuFTus6ZjQJQ/m14Ge1W+7p5Fsk0Jk+L1fHxU1HyP3Y9Poc5nOH+jBzXfWhRXXYfbhOhlT9fzqLqus31WyJ9ftrZTHnT5HI06omwSR50wpkOmbwrBDq8o/UOx7t3XERcOLsyyWUSSEnrW8+ZUiAzovgOdyD+pCkXLxsclSNGyTll9Q94guj9sQOdbB+NCyPglyJAo2h2bxEXWvDLGyTTXMmxWYySHgOI6OdyMelQyfPPlJ+ui96wKC3E2lmQqvWqa2KrU9rfdsBU5UPONU2B1O4wKjensToZr04FgwgV5Njaj9cnt4ZJg184QEYWtu49i5xsbMNFSheAhT1yUXhQChq2PZdh62Euup9JheqeJe/W7Vx9F18qDotRkpDGRJj3ohaeNiWaub3l8K3yHusVzaMFp4ReZMpu6rmWiqY+xZGs7JdCzwKtsErUsIZs3Bb6RjIr1Pe3RUkCDd0n+ZAFC/eItcO13FmtZmpS+vsPd6Hxjv7gpMxlL17vxN3JbqQvFyyeKB9vY2sJSJpc8SDa5lrwUNdwoCCiuc+sUSYVvJlFqe3YX+gciguw1bhHyTgHP5qwL10pWTR8IpMK1PlagrGDOmlBPIFqHnIiIrXNbW5E3uxyM0ut4rT6aaXwoYnzuoCCnl1yErReoF2ipnFUhX1C8qBRC3RMYfAQtdqJ42XjxAqT5lxvE311TS1D1D/NTmW7YY9V1LR3SrA8oW9spgZ4FSmWTqGUJerkpBHv86NtGz3qLCN+K3c8dWY9zcjHc8yrD+9bddjQ9slHU7aU4dqQhwZy/2YPGB9eGp7dbgMDgHnO+YS2+YAIKTq1NW8iTFh4T6asXrhOxVfVJDQHFdWr4Ge3oVPn2N/aIkPdI7WAmpCq7ZjrcJ1fFQcGXlLw/07uk10gho3Gn1d5UudY6n+ovF4HOdw+i660DoMiu+aeFcc8PTOTY89ERdLy+H/19g0IRTqsoiyjKn00rBRPqyvbgyl2lMUcLeQPo/vAwut5rQH/vIP7cx2+vLRBRn1W3zBOZ7yNN1JC3IOXnQHVdG/OcGclq2dpOCfQsnCOySdSyBD3eFFi/s29bK1hCpG9n27DZSPkFFalvWXr5FFHbUmYTdTQ3NaPtmV0QN+CBZsm3o2jpOBSeWRdXc1Tm3OkaS49cp2utuT6u4jq3zgAZfHP7Dj3pvRuao+DxPlfy2cni4ZMvUZseWieyINPLV3HjbFhs1twCWgerlcG1DpaRsya0Pb87uq2k7PMzopnCvfs70f7c7rgKONaqPOyobMaCy85AWYW+k+eaiVA+g3a/34Cuvzeg3xuMLo0JNemYcZ9SE42Y7Fp5SGx7FKHvi5N32Kjr2kxnUHgtsrWdEuhZOEdkk6hlCXq/KfChsW9Hq9gT2be9NU4sR9bpGFOA/JOrhGednnSGzfsausS+dUdtYnU9GW7PesCFy8bBt7dThLX7jw7WDqVHqfDsOhQx02eeXQvEuumrd651A5QJDFFcm4BEDUuQxTfDbOnBa39xbzSKyTm+COVfmgVmjW55dIsIAaVwZ1I51TKPgCyuM2+5mpEIMHyd0X980c/oP+59ZvZ2lgGLNJb/YiZ3/2w33vv7e1i6dClKS/VTESZXmCRXXe83oPv9w+j3DQp1e0UeipZPFC8qG3/8sdiuYC1woPafT03acaOua/OdVbK1nRLoWThHZJOoZQlGuilwn5B3Z5tIMNe7rTXuzWZUrNcWIOQPItjSJxLO1f3v00cV1N76DlFSiHswGcoUW36Doe2Fp9eh6Lxxhi9PYiSutZzDqu/xCCiuc+uskM03Q9kZ8h6pGcwtReU3zBK5QJiHo/TyqSmHdOYWQ/JWK5treZapkWIR4POKyFnjCaDsymlx4PBFGEJA96rD6FyxP+5ZhqVbWd7LVuSMy+KuBHr2zi9GD3W/R0/54TgnESM5mbOD235Klk8UDpzYxrrqiUYZqes6e/yma2bZ2k4J9HQxNcK4sknUsgSj3hSYwKhvd7vwrPdubYnbLxR9C+20ovDssWHP+pgCsWere/VhkeU08jv7eve2o/m3m+P3vVstKFhcg6ILJsBe4tICqW77GpVr3QKqY8MU1zomJw2mpYNvPpS2/XkH+na0hS22AEXnTxAhnkP3n/Olad6sciXa08Dt0CHTwXUGzM65KY49tkVs1WOruutkuCYURzHw7u1A+wu74T/qif6N5b1Kr5gG18TBfoprfZ02jLQUIe2sfDGQRJMW8sUl743M2RG5N/K5svXpHQmHviuu9cW1DGtkazsl0GWwonEM2SRqmd4MNwW+pfTu6Qh71re0INQzWC4jgoWtIk9kPY3U9qVwpwDveL0++iUaeQjlTZaZ2fl21EzNDFybiY90rkVxnU509Td2uvhmLg5mNuaWHwzkyGTm6PLrZ0YjijybmtH6xHY4xheJ7O/2UnO80NQfy2GL0sW1XtdrVLsYmdf88EYRlVd27Qzx/BHs9KLjlX3wrB/M88C8NiUXT0TBkjHHvfhSXOuTfW73YXRE9xoK9cHkwXT88Nkxb045jv3PJvBFDFv1Py2Ec0zBiItRXOuT61Sskq3tlEBPhY0kj5VNohYzzHZT6A/2g1+MQqxvbkGoyzcsHI66QviPdMfVYWfd9ZKLJor6o2ZsZuPajBzJWpPiWhaSxhgn3XwzWqn1qe3RWsG2YifKvzQb3J/e9ItPw55AmwVVX50f5wE0BnrGsjLdXBsLDX1Yy+zfgeZeOMcVxRnk2dA8EFliQfcHh9H55oHBvcwWiCowxRdPOmGZNMW1Pvg9kRWBDi+63jmIno+PxkVgsiwbHTy921uQP70MFTfOiRuCWxyGZuFXXOub62Ssk63tlEBPhoUUj5FNohZzzHxToPfHd6BTCHWGwgc7vMNCQ49QyUWTxMOmmZuZuTYzb8msTXGdDGrGPSYTfPP+2fLkdvj2d4aBslpEhnf3KVVo+/NOUfKSyeNUSy8CmeA6vSsw1+iMIBFJFUP9qP3u4uNy3vTtaUf783sQaIoJZx9XiLIrpo36zKG4Nsa5EmjrCwv1TxrFeRBpjnGFYpulCH23WMSfuXWo+eEN4l4psr47wpUwFNfG4FqLlbK1nRLoWtCX1Fc2iVrMypWbAt9Y+g91wyM868dEEjnnhCLx9pr1RXOh5QrXucDlaGtUXI+GkLk+zxTf3E7U8Vq9qHgRafknVaL0qmmw5tvjvEIsVcSweP5dNXkIZIpreRabe6TOdw6g8/X9YpHMWcPs62z0rna8vBe9G49FAWCyxZJLJsO9uOa4cPbhUFJcG+vcCbT0ovPtg/Cso1AftN05qRjFF04Uz5odr+1D17uHxIexZfYU18biOhFrZWs7JdATQV1yH9kkajEvF28KIoNqsD/nEhrlItdargUz9VVcm4nN0deSab75krP1Lzuj2acZzsm66JHtQYxeavnjNgQae1Dx5Tmm3TY0OjPye2Saa/krMNeITFjb9F/rkT+vQpROg8UiSnN1vXVgMOM3w9lPGyO20FndjoQBUFwnDJWuOvqP9Qr+Peub4rZRuqaUwF7lhmdDkzgPar+zKJrlXXGtKwqlGCNb25leoN9yyy147LHHTgj+D37wA9x3330n/Hyk4w8ePIhx4+LLLCTCsmwSE5kz0kfdFLSgZey+imtj86fFesW1FrSM3zcbfAeO9YpSbP4jPQJAhmqWXjkNBYtq0LPmKNqe3SX+Tu9R1R3zj9tzaXzUs7OCbHCdnZXqa1a+dPJ82igS0pZdNyPufOZnzN7dt7MN7S/sAa+NSGOkHrOzO8cWal6Q4lozZLo6wN/kQedbB9C7sfk4oe5eWCMSFUdaW1sbGh75FNULJ6Jy6WRYXTZdrUUZox0B2drO9AJ91apV2LNnz3FI//znP8cnn3yCtWvXYuHChaMKdIp8qzW8dyTSrr76arjdbs0syiZRiwHqC0ALWsbuq7g2Nn9arFdca0HL+H2zxXe/P4i25/fAw72XA42Jr0o+Mxntr+wVVTVqvnEK7OV5xgdZJyvIFtc6WX7WzGh/aS+63w9v7WBUSP7ciqgt3IPc8VL4fI80a4FDXAfuhdUJhbMPtzDFddboljqx/2gPOt/cL/Ihxba8mWUi6zvzHx1bsx99zx4QH3PfeullU6TaoAbLPAKytZ3pBfpwFHk8HtTW1mLSpEnYuHHjiCxGPOh+vx92u5y9dbJJ1HIaqi8ALWgZu6/i2tj8abFeca0FLeP3zTbfzGJMoR6pDcyaziy5BrsV9pL4smsRb6PxUc/OCrLNdXZWnf1Z/c0eNP7sU1hsFpReNhUFS2pFCHvXe4dEyS3+LJoFKDyjTuw5TjX/guI6+7zLtMB3uFtk8u/bOkSozy5HsNyG3o8aYQ9aUXvPqXEvNYfL+i7TLjVWehCQre1yUqA/8cQTuPHGG/GTn/wE3/nOdxIS6D6fD729vSgsLDzOk66VatkkaplffQFoQcvYfRXXxuZPi/WKay1oGb+vHvjmw2frE9sQaOkL65Q8G8o/PzPe09jah2O/3yxC4XMlOafss0sPXMtek97G40skbt0YGpbOsmncssGXTr3bW9H+4h6RcDbS+JkIZx+l5nWi61VcJ4qUsfr5DnWhc8V+9O1oizO8vcyH6gUTUHXRtLgtFNwuxBdAzHFg1jLAxmIwMWtla7ucFOgXXXQR3nnnHRw6dAg1NYN7QoajIOJBLyoqQldXF/Lz8/GZz3wGP/rRjzB16tTEWBvSSzaJWoxQXwBa0DJ2X8W1sfnTYr3iWgtaxu+rF76Zub3tLzvjQn0Ll44TZSxZfqjpV+vhP9wDWIHqOxeMWmbK+MzIX4FeuJa/Mn2M6D3Qifa/7Rb7yGu+sxj20vgIEGbqZrh737bWqMHWIgdKPjsF7gWD5bRkrEZxLQNF/Y7Bc41C3burPc5I1lFnGTb3/CpRlu3ojz8WiY0d44tQ848L9LsgZVkcArK1Xc4J9IaGBkyYMEGI7JdeemnU0+tf/uVfwPD2RYsWweVyYfXq1XjooYdAwc497BMnhktsnKgdOXIE/Bfbtm3bJjz47777Lk4++eRRbZDZgS8ZeBJx3z3XoJp5EVBcm5fboStTXOcO11ypnvgWJS0/PgbfO0ejiZGs4wvgunwcAuvb4P+wCbbpxci7eoJKHJfEaaonrpMwX/eH+De1wftyuAyWfV4p8i4bL36mB9O3uhn+1c1CLIlmARyLK+E8uxqWNCT1Ulzr/nSRYmDwYA887x6GpWEwGkMMnG+DfXoxgk296D/ah7yrJsA+syQ6JyM9eA5GaqxLMUYNIg2BDRs24Lzzzhs1t1miE+acQH/ggQdw77334i9/+QuuvfbaRHGK67dixQrQC3/zzTfj0UcfHXGM+++/H9///veH7fPggw8m7YVPynB1kEJAIaAQUAgoBNKAQEGnHVN2FsLpDydT9TtC2Du9G5Z+oKcwiJB9QOSkYW41pEIgaQT6gZlbitCXF0LDBA8Cjn6UtDkwvt4Nl3cws3ZXsR8HJnvQ5w4mPZU6UCEQi0B+jw3VR10ob3bB2m8ZFOLoR1dxAEfG9aK7OCBEOVtlowvVR1w4OrYPrRU+EZmkmn4QYEJybpseLfl4ohbnnECfM2cOjh49Krza9Ign2+hR5xiHDx8ecQjlQU8WYXVcqgiot/GpImic4xXXxuFKhqV65TvUE4D3hQMI7g+XYuODpfPcGjhOjw8F9q9rAVw2OOaUyoDD1GPolWsjgh7Y343A+la4Lh8fl2mdtc0tditCbV54VxxGcG93dHmWQjuc54+BfXZJ2j2XimsjnlXJ2RzLdaE9H/4NbfB/2oL+Tn/cgNbqPDgWVcA2qwS9v9+N/nYf4LSi4K5ZIu+HavpBQHnQU+Di448/xpIlS3DXXXfhv//7v1MYCWCJNYbIM3mc1iZ7n4KW+dUeJy1oGbuv4trY/GmxXnGtBS3j99Uz3wzDZImhrrcPRoHOm1WO8utmwOp2wFvfgeZfbxJ71IuWjUfJxZOMT0gaV6BnrtO4bOlDd390ROw1Zyu9YqrIvB5pIV8QXe8cFBnao+HsVgsKzxmL4vMnZKxGteJaOu26HXA4rvuD/ejb1oLuDw/Du7cjXqjn22Erc8Hf6AmXZfvM5LjPQ95gxs5T3YKaZcNka7uc8qB//etfF8L8o48+EkI9lTZ//ny0tbXh4MHBh5BEx5NNYqLzsp/6AtCClrH7Kq6NzZ8W6xXXWtAyfl8j8M2s161P70B/b0AAzodLlmLzN3nQ9tddQghV3Dgb+fMqjU9IGldgBK7TuHxpQwe7fTj6k0/Q7w2i6NxxomY58yewVnXHy3sRbPdG53JNK0Xp56bCUe2WNn8iAymuE0HJHH1G45q11CnUPeuaBkv6cekWIG9mOYrOHQvn5HBUh6+hG82PbBSlAPl3W3Hy0cHmQDc7q5Ct7XJGoNPTXVdXh+rqamzduvU49pgIjvsHSkpKMGbMGPF5T0+PqH0+NBT+6aefxg033IA77rgDDz/8sOYzQTaJWgwY7aagZSzVV98IKK71zY9M6xTXMtHU/1hG4TvQ1oeWJ7bBf2ggZJg1pSl8xhTAt68DRUvDCblUOzECRuFabxzyRdBQge3ZdAz2Mhec44rAOuftL+yJy6htK3Gh5LIpyJ9XkfZw9uHwUlzr7SxKnz2Jch3y+NHzSaMQ67EvkWgZS7Ax+3vvzlb0bQ7XWq+662S4JhSnz3A18gkRkK3tckagP/vss7jmmmvAJHH//M//fBzA9fX1mDx5clzit/Xr1+PSSy/FlVdeienTp8PpdGLVqlV48sknMX78eOGJH61M23BMyiZRy/WS6E1By5iqrz4RUFzrk5d0WKW4Tgeq+h3TSHxzf2/7y3vRs2qwmon7lGqUXjUNVufgHkr282xsBj9TWYoHzz0jca2HKybQ2jdQFq0F1d84Bc66wjizGArc9fYBdL3fMBjObrMIrzq3XMSek5lej+I604hnbz6tXHPrEEv9dX/YAO+e+PB3i9MK2KywV+Sj5uvxZdmCXT7YipzZW2gOzSxb2+WMQL/iiivEnnGGpNOTPrQNJ9CZTI4Z+bh3ncng6GWnML/88stx3333obIyudA82SRqOf+13hS0jK366gsBxbW++EinNYrrdKKrv7GNyLdnfRPant2Ffl9IAGqvcYuQ94iXs+353ULE559UibJrp8PqsusP+CxYZESuswBTdMq+XW049tvN4nfXlBJUfXW++FmEs288Fg5n7xzMHeSaURaO6qjMz6bZYm7FddYpyJgBqXDtbxwIf/90mPD32RUoPKtOnPu81x55YA2cYwpQvHwCXFNUUs50Eixb2+WMQE8nKVrHlk2ilvlTuSlomUf1zT4Ciuvsc5ApCxTXmUJaH/MYlW8+WDLkPdDUK4C0OG0ou2Y6XJOLcfQ/16K/LwhbqUt4Pm0FDn2AnWErKCRDnkB4777dim70YuXKlVi6dClKS9UDdiJ0tPxxK4I9AZRdMVWEAfO8E+HsMZ5H5kQovWwq8uaU6yZiw6jXdSKcqD7xCMjgWoS/r21E96ojCLbG11TnC1B7lRt9m4+Jibl1o+jssYqGNCIgW9spgZ5Gsk40tGwStSxBxk1By3yqb/YQUFxnD/tMz6y4zjTi2Z3PyHwzxJie9N4NzVEQuY+y4LRatP5lJ8qunCb2CJuhBTq8CHX5gH7AOT5+TQz7555Se1U+Si4azGTPUNaGf31fLN+9uAbW5dVRgV5SXCISndkKHXCfXIXCswYfuJkBOhLOarEN1lQ2A44nWgP3kTP7eumV8dsleI4x7JcJ4TrfPCD277JqgGh2i8h9UHzeOFgc+ipTZeTr2sznWTrWJpNrEf6+vRXdqw7H5VQQdlst4l/1NxbAWVMQXQrzg9gKnbA4VDF1WfzK1nZKoMtiRsM4sknUMLUKodIClhrvZ1cAACAASURBVMH7yvwCMDgUpjdfcW16iuMWaHS+6SXuYdmrF/dG9wFTwJZ9cSYcZfGhxtxTbCtxwmLL3oNkoN2LQEuv8GrnzamIq6HN0lwMq6YIr/rKSXE8Nf1qA3z7O4UIr/3O4rjPKLQDx3rhnFSM6q+dHPdZw/0fimiC/LkVsF1eFxXoRTY3jvy/j0TfovPGoeSSwVJLFKuND64VWZ6FtyxGvDOk27uvQ+BIj7I1z/jbB0Qo+6NbxPkztFyfCGdf34z2V/aFX5AMtLzZ5Si9bIrYq6vHZvTrWo+Y6tWmdHHN5Igi+/unjdHtRAIDZn+fVR4Of59aKrK+8/5TdM44FC0dp1eYDGWXbG2nBHoW6JdNopYlpOumoMUG1TczCCiuM4OzHmZRXOuBhczZYBa+fQe7RMh7JDux1W1H+Q2zkDejTIAZ7PGj6aF1Iuyd+9VTTXZED7PvQBdCvQG4ppfCXjJYjogZvrvfOyQ+q7hlbtye5PZX96F75SFh05j/fXpc+D29/p61jeIBeOz/OztOvFNA0rNlLXSg7n+dHi/e/3u9KDnnnFCEqtvjhX3nOwfFeI4aN7xjbFGBXhjKE9EHwQ6veLBmWaVI69vdhmO/Ce+9Lrt+JgpOqY5+1rv5GFr+uE38XnHTHOTPqRg8bk87+ra0gBnM3YuqhVfNCI21yxv/c604dyi8uS4mF2R5KuYz8O3rjC7DVp4n9pnnzyrX9dLMcl3rGmSdGJdurkN9gXD291WHEWyJD3/n9o5gW7isYP7JVaj4wiydoGJsM2RrOyXQs3A+yCZRyxLSfVPQYovqm14EFNfpxVdPoyuu9cRG+m0xE98U4W1/3oG+HW1h4CxA0fkTUHzBBFEvXYjfIR5jijOKToppZul2TS6Jgh7Z587PSi6ejILFNYNCdWsLWv4QLrNa8eXZyJ87mOi15+Oj4frsLFV058lwTRwsVdT57kF0vlYvPqv57uI48d7xWj086xphzbej6q4FcVnAe7e0INjphbXAAff8qrgTIxQMAb4QQj1+8SKC/w/9mb/7uvrQ5ulA5ZRauMeUwF6eB1t5vvjf6hoM0aYHnTWTgx0+4SWLzV7e9UEDOhitAIQzm48dzGze+dYBdK7YLz6rvWdxnHeZn/VuDYv38htmxq2NNnN+iz0zkQ2B9j7YS/PiMOzb0Qpm/2dUAyMOuI7u1QxnH+hmt6J42XiRod0Iobxmuq7Tfxc09gyZ4lqEv+9sE151786Be2wMdPkLqlBy4cTodR/s9olrya6DpIlGY1i2tlMCPQtngGwStSwhUzcFLTapvulBQHGdHlz1OKriWo+spM8ms/HNh8guimAKxYGtwvRwM1S74/k9QoQxG3dEDDI50uF/Wy0ALjx3LEo/O2VQoEdCvZkY6TOT4mqtM8yboZ1szBRfsDjGA72jFe0v7xNCm2HQsXvG6ZX1HekRn/FlQKwwjkzMPeC0aziRHSvAw58HRF+GZ6fS6JmnUBeivSIs2u0V4d+t3F/K/aeMROj0wn+kR4j3/PmVcSHukez57Df238+KE7Itf9oezhVgt2Lsv58Zl0zt2O83i5cqTEZVe/eieOFMIWCzhO0pixfVWtdLT6AQ3qsOo/KWedHoiijuoX7xYqLj1X0Idfujw+fNrUDppVOEDUZpZruujYJ7NuzMBtd8iSfC39c2od8XHFw2w99nlodrqu9qRc/7h8PVNJjbwZ2byTqTOSdkazsl0JNhIcVjZJOoxZxs3BS02Kf6ykNAcS0PS72PpLjWO0Ny7TMr3wzTbv3TDiFy2WzFTpTdMEuEesdmdReJ1O57X4h5JlIrv3ZGFGCK4ZbHtggx7V5YI5KpRRpFsbe+U3zGfeEjhXPTS0/Bx2OEwB74WQhs8XMgzustsq7LbMztVOBAv8sKX0cvHAGNnmq7NSreKdoZ5s2912HR7IpLkEYRzH3qkZJ3kWUwkR29b3wxUvONU+JW1/iztfAf9cAxtvC4z1jaiaHnsWXOomO+tBfWAjucE4qRN3X0rPR8OdL4i0+FV5xevZq7FyGSBM/X0I12hrMf6Iraxj4MZ49sk5BJSbrHMut1nW7cjDh+NrkW4e9rG0VZS+5DH67Zyl2o/e6pcVt2jIhzJm2Wre2UQM8kewNzySZRyxKyeVPQYqfqmzoCiuvUMTTKCIprozAlx04z88391S1PbhfJ1USzWlDy2ckibJt7jCON3nCLyyZE/Gj7pinoGfIuwsjp5e4eEN0DPwvRHRHcA0K83x+Jk5bDGUOsKbgj//jCgXvu6QXn32xuR/Rneq34EoEe8AjX555+NgqCLlFOiYnzxL+W3vDv3E8ayVKeoLkCt1jRHhHx9L4XOEYtPcbkeHy45zjFyydGZxUvT/7XB8Ie9ynVKL9+ZvQzZlc//H8/FL8XnDEGZVdMi37G/ADHfrdZhNMXnForEuRFGkuk8UVByeVTkD+zXHDY8cZ+kWgwEnFBfIsumCBKSWUq7D5BqBPuZubrOmEQcqSjHrjmterdFQ5/j24xiuBvt6LwtFoUnFEntvSIUPkdrcLTHonMyRGqEl6mbG2nBHrC0MvrKJtELZbp4aagxV7VN3kEFNfJY2e0IxXXRmMsNXvNznd/MATu7e7+e0MUKBFyec10EZ7NkPfRQslFGHlkbzfDyVOLJj+OMEu+XXj14wS3+N0eFtwxn4k+zuRKeiXCtSix1uFFoLVXCHch2lsiIr4P/X3avPusTx8Omw+Hy4fD5sPedybsG0kAi4f+ve0ItvvAZFSxXvJopnkAxZdMQvF546O4MmFg03+vF7+XXjkVhafXxQl74TW3WuD5pBEdr+9DqGdwTTw3ShjOXjqY9C+1Kyw7RyfCdXYsU7PKRkBvXPuP9aJn1WGRWI7lCWNb3swy2McUoPvdQyKKpey6GXBNGMzRIRsbo44nW9spgZ6FM0E2iVqWoLebghbbVV9tCCiuteFl5N5HjhzBO++8g3POOQfjxw8+9Bp5Tcr2EyOQK9c2E8ExS3rkgdGSZxNCe+gDZMrnis0i9loKUU2PNj3bw4jsqOh2O6Jh1inPPcoAMrimxznqdaeAF+K9V4h4CntNLy8sEF7uiGiPiviBvfCj7Vnl1gHOyRctsVn5vfs70f7cbvFZ2ednIH/2oAedEPkOdaHt+T3wH4wJZ68eCGefFs76b/Qmg2ujY5Ar9uuV65A3AM+nTcKrHmgeJvzdArHNZOh2mFzhbaR1ytZ2SqBn4aySTaKWJej1pqBlDapvYggorhPDyei9jh49iocfflgsY968ebj22mujS+ru7savf/1ruFwunHbaaVi8eLAWc2dnJ3gv4mdTp05FdfVgWSafzwev1ys+czhGD3c1OoZGsz+Xrm2GUbMUG5OcJdoY+j5cKHk4rHzA6104GFbO/rHh84nOk4l+6eaa0QjcLx4W8GHRLrzwA//HJZNKYMGWPHs0UV1073us930gcd1IQ7GOeYQP7v/vfL0ezLIfDWd32lC8fIJIamXUcPbh1p9urhOgT3XJEAJ651pEwuxuHwh/b417iccIG5Zk5PXnqHLDs7FZ5JsYbatRhqDN2jSytZ0S6FmgUjaJWpag95uClrWoviMjoLg2zxnCB9Y1a9Zg//79KC0txbJly9DY2Ah6zg8fPox169aJxebl5aGurg6FhYUoKioSD7nvv/+++OyMM87A0qVLhejm3znW73//e/HZFVdcgVNOGUwCtXXrVvz5z38Wn33pS1/C9OnTo2Bu27YNa9euFXMtX75c2BNptIfnHeeYMGEC7Ha7eUjQ0Upy7dru9wfR+fZBsS894t0+PrR8cC+3EUpqJXo6ZZNr3ne4TeD4sPnw3ncmltPUrBaRoC5u77soGxcOo7e6Bu8XFAg9a46i8416kZAv0lgWqvSzk2ErNnY4uxLoms4c03XO5nWtFUzmuuhedUS8JBsaveScVAxffaeo2sDrsvCssVqHN01/2dpOCfQsnBqySdSyBCPdFLSsS/U9HgHFtTHPCnqujx07hrFjw190vb29oJf8r3/9K+gRt9lsCIVC4MNzMo2imeKd43AetpNOOgmTJ0+OCvv6+nq8/vrr4rPbbrtNiO1Io+B/8803xa/f+MY3UFExGIr62muvYfXqcPmre++9Vwj1SPvb3/6GnTt3oqCgAF//+tfjTOcxXV1dKCkpwZIlS+I+a2pqErbm5+fD7XYns2TTHaOubdNResIF6ZlrJtILtA1JWBfZ+97aBwS0JdrjS5fI3neG1/obuqO4sJxb2RVT4ZoyeuZ3o54deubaqJjq1W4jcs0kj551jeHw96bjw9/dp9aI0obcvpKLTba2UwI9C2eRbBK1LMGINwUt61N9BxFQXBvvbHjppZfwySefCA/3zJkzhTAnj6M1CluKdgpYj8eDnp4e8XuqjeHt9JBz/IhXvrm5GRTwfr8ft956qwiNdzqdYqrnn38+6s3/P//n/8BqHSwN9cQTT2DXrl1CoN9zzz1xpjEMn5EAHOuuu+6K++ynP/0pOjo6xAuEm2++Oe6z//mf/0F5ebnw/k+ZMlgLO9V16/14dW3rnSF59hmVa5E5v9s3kG1+IGx+IPM8PfKxNctHQovbD4ovnIjCM8bAYtNYak4eDRkZyahcZwQck01iZK7pHIiGv28fGv5uFeUtGf5OzzvFOr3set1CJPO0kq3tlECXyU6CY8kmMcFpRTcj3xS0rFP1VVzr9Rygp3jHjh3YvXu3EJX8naHhFOP0kI/4sGqxoKqqCmPGjEFtbW30/76+PqxcuVKEsFNQU5zT887xOD7/H/pz5HfuN0+1UaDTK0+POT30/H3SpElC1EeE/aZNm0Bxzz5XX3113JQPPfQQWlpaRIK722+/Pe6zBx54AFzf7Nmzcf3110c/CwQC+MEPfiB+5x76L3/5y6kuwzDHq/u4YahK2VCzck1vXJDe95Zw5vlw2biBDPRtfUB/P9wLqlHymclxyeRSBlTHA5iVax1DnjXTzMK1CH9fzfD3xuOrRdgtQKAfrpllqLp1XtawztTEsrWdEuiZYi5mHtkkalmCWW4KWtacq30V19lnniKSAphimCKc//bu3QuGbY/WKHRramqiQpyinB5merWHtlS4jtgXK+SHE/b0yqfa6FGnB51iPla80/PPPe38xzXzs8j+dUYU8GUDPeVz586NmkDR/tvf/laI/uuuuw5z5syJfkZbDx48KPbOMzzebC0Vvs2GhdnXk4tc0/uOYD/MlEsgkfM0F7lOBBcz9jEb16zO4Fk3kP290RNHGatvFF8wAQWLa2HNN2/4u2xtpwR6Fq582SRqWYLZbgpa1p5rfRXXmWecYd8U3wcOHMAHH3wghDlF6Wjh5vQqRzziEe94ZWVlwuIyE1wHg0ERPj+akOea+WIi1UaxHivkI574WGHPnzlfWVlZXEI6Yr9ixQoh9OlZp+g3U8sE32bCy8hrUVwbmT1ttiuuteFl5N5m5VqEv+/tQPcHh9G3rSU++7uD4e8D2d9rCoxM37C2y9Z2SqBn4RSRTaKWJZj1pqAFg1zpq7hOL9P04DJMnYnPWltbhaec3tzRkrfRg8wwdCZeGzdunAhT5++x+7W1Wq4nrsUXtNebUHg9PeOpNu6PX7RokdiHTkHP+X/5y18KLphY7tvf/vawUQepzpvN4/XEdzZxyIW5Fde5wHJ4jYprxbWZEOC2le6PjohqDP298S/tK26cjfx5lWZarihby2cRVrlZuHBhymtTAj1lCLUPIJtELRaoLwAtaBm7r+JaHn/00jKJWaS0GfeLU5SP1hiOztBshl9TiPMfRaTsZlSu6WlnOHoiXvnRohD4gmPWrFk49dRTxQuPDRs2iAiEc845Jwo3xfujjz4qeOAXaGztd9mcpHM8o/KdTkzMOrbi2qzMHr8uxbXi2owIMPy9d30zuj9sgP+oB0z8OOZfT4PVZa7tZ7K1nRLoWbgaZJOoZQnqC0ALWsbuq7jWzh8FHDOGR/aLU4hzL3Minl4KcZZGi4SoM2Q9U2XBzM41eRku6R3XzZrtQ/fHs/Tb4sWLsWDBAuFFjzRyyX3rbBTyl156qfaTRAdHmJ1vHUCsGxMU17qhIu2GKK7TDrFuJshFrvk97tvXgUCbFwWLzLXtjCeWbG2nBHoWLlfZJGpZQi7eFLTgY6a+iuuR2aRHlpnDIxnUDx06JDKpj5bVnF5Zel4pxBmuzozlTF5GgZ6tlstc0wvPrPgff/yxKP8W25hobt68eUKs8+XJnj178Oqrrwre77jjDsFhpDEigi8B6urqdF8SJpf5ztY1lq15FdfZQj7z8yquM495tmZUXGcL+fTNK1vbKYGePq5OOLJsErUsQd0UtKBl7L6K60H+KOKYvI0CPOIdZ7g6k7qN1Ci+6Y1lX/5/+umn4+STT45LSKaHs0RxHWaB+865/2v9+vWiNFtsoxinUKdgP3bsmBDssS1Sg54J5VhvPVPRD8mcP4rvZFAz5jGKa2PylozViutkUDPmMYprY/I2ktWytZ0S6Fk4R2STqGUJ6qagBS1j981VrpmgLLJXPOIdpzgfbQ9zhG0K8WXLloms6vSKWywWcayey3XlKtcnukIZBbFlyxawRFtDQ0NcN2bM50sWivXIHnS+qPnJT34ikttRoH/ta1/TtRdd8W3se7MW6xXXWtAydl/FtbH502K94loLWsboK1vbKYGeBd5lk6hlCeqmoAUtY/fNFa65r4kCfNeuXeIfS5yNlkmdCcVYIzuyX5z/M6kYM4JPnDhRJBkzUssVrpPhhMn9KNQ3bdp0XMQEM+lzLzqTy9H7znszQ9xjM7BSvDOx3OzZs4WwT0eSP63rUnxrRcy4/RXXxuVOq+WKa62IGbe/4tq43J3IctnaTgn0LJwjsknUsgR1U9CClrH7mplrejr37dsXFeWdnZ0nJIse8YgQ37t3r9inPH78eNx000269oprOfvMzLUWHEbqy5B3voShWKcYj20MZ2eZNnrVWVM9tm3cuBHPPvus+NNFF12EM888U5ZJSY+j+E4aOsMdqLg2HGVJG6y4Tho6wx2ouDYcZaMaLFvbKYE+KuTyO8gmUYuF6qagBS1j9zUb10zsFfGSU5wPF7LO8OXi4uKoALvttttEvfFIY7k09mH5MzM1s3GdTm4YXcEoCyaVYwb4oefRtGnThFCfMWOGqE1PQf/WW2+J8PfvfOc7IjFgpHErBc+nTEdcKL7TeYboa2zFtb74SKc1iut0oquvsRXX+uJDhjWytZ0S6DJY0TiGbBK1TK9uClrQMnZfo3NN8fP666+L/eTcB05xPVyjID/ppJNEyDo94/v37xdJwijMGbpcWFhobCITsN7oXCewxLR04TnFc4UinBjGNp5XixYtEuHuLNXGUPnYlz3s+/jjj4vM8BTzN9xwgxD0mWiK70ygrI85FNf64CETViiuM4GyPuZQXOuDB5lWyNZ2SqDLZCfBsWSTmOC0opu6KWhBy9h9jcA19/fSk8k95BTXU6dOjXrJGY7O7OtDG73f48aNE8cwdP2ss87C5MmTjU1WitYbgesUl5jWw+lFp9CmUN+5c2dcDgOKbr7ooVed5xlfFrG1tbXh5z//ufiZn1OgZ6opvjOFdPbnUVxnn4NMWaC4zhTS2Z9HcZ19DmRbIFvbKYEum6EExpNNYgJTRruom4IWtIzdV09cU2yzxBnrUi9ZsiQKLAX6Aw88gGAwKEKFGUY8XKMHc/78+cJLziRuZgtRT/VM0xPXqa4l28cTS96j+W9o1AbzGVCoM1kcz9fdu3eLfvwbz81I6+joEPvW6X1ncjmW65PZFN8y0dT3WIprffMj0zrFtUw09T2W4lrf/CRjnWxtpwR6MiykeIxsErWYo24KWtAydt9Mc00xw3B0Jmxjwq3Y9sgjj4j645WVlaLGNIUN95PTazmcKGdJMwpxetTpnaQwUu3ECGSa61zggi+Ntm/fLrzqzHkQ2/iiae7cuUKYM5oj4lWP9Fm5ciXeeecd8ev1118vRLrMpviWiaa+x1Jc65sfmdYprmWiqe+xFNf65icZ62RrOyXQk2EhxWNkk6jFHHVT0IKWsfumg2sm2KIQZ3g5BTSFSqTRY8iM1xQr9913X/Qzhg8/8cQTQoyP1Ljnl15I/mMoMT2UqiWGQDq4Tmzm3Oh17NgxIdS5X53Z4GNbbW2tEOrMgxA5Z5k7Yc2aNWLv+t133x1XLYAvqpgpPi8vL2nwFN9JQ2e4AxXXhqMsaYMV10lDZ7gDFdeGo2xUg2VrOyXQR4VcfgfZJGqxUN0UtKBl7L6pcE0h3tPTI0LJY4XyqlWrROI2tq997WugOIm0999/H2+++ab49ZZbbkFXV5fwktNb7vF4jgOTQp5JtyKivLq6+jhPpLEZyJz1qXCdOSuNPxO3ZGzZskXkTWhoaIhbEMPYGfpOsV5TUyPOeQr72MRyvK5+8YtfiJdc7HfxxRcnBYriOynYDHmQ4tqQtCVltOI6KdgMeZDi2pC0jWi0bG2nBHoWzhHZJGpZgropaEHL2H0T5ZqhvAwpj7SDBw/iySefRG9vL66++mqx9zvSmECLn7HFfkbhsW3bNmzatAmtra3Cw86/DW0sUcUyVsx6PWXKFOFhVC11BBLlOvWZ1AgRBOgJp1edUSMU7rGNCQ9PPfVUzJkzJy7KhKHyjz32mOh6xhlnKIGuTqdREVDX9qgQmaaD4to0VI66EMX1qBAZroNsbacEehZOAdkkalmCuiloQcvYfUfimmG6Tz31lBDSTGS1fPny6GJjs1Ofc845uOCCC6KfcX85vehVVVUYO3YsYmuTn6gMGvtFvOTMup6pUlTGZk+b9eq61oaXzN68lijS6VVvbm6OG9rtdmPBggXCW15eXi7yLWzevBlr167FVVddJa6jSOOLsdWrV4vrkVs8RrpOFN8yGdT3WIprffMj0zrFtUw09T2W4lrf/CRjnWxtpwR6MiykeIxsErWYo24KWtAydl9y/ac//UmEqTM525VXXhldEL3bP/zhD+Hz+TBz5kx84QtfiH7GPeMU7xQUFNZM1MbGYxiyy7B1/mO9cfYd2ri3ll7yyLG5UIc822eKuq6zzUD4+jhw4IDwqm/dulVUJohtvI4o1Bk9EhuxEunz3HPPiT3ubHfeeacIkz9RU3xnn+9MWaC4zhTS2Z9HcZ19DjJlgeI6U0hnbh7Z2k4J9MxxF51JNolalqBuClrQMnZfcv3rX/9a7IVlUqp/+qd/ilsQxTtDc+mto6d8uEYBX19fHxXlHHO4RjER8ZIzq/VwAsTYaOrbenVd64sf5m9Yt26d8JQzIiW2MRkiveT8x5/ZKO65dYQvvhhx8g//8A9xx7BEIb3tketK8a0vvtNpjeI6nejqa2zFtb74SKc1iut0opudsWVrOyXQs8CjbBK1LEHdFLSgZey+5PoPf/iDyDrNZG433nhjQuHl3EMe8ZJTnAcCgeOAYEIs7iGnKKe3vKSkxNhgGdx6dV3rk0BGmOzdu1eEvzN/Q2xeBiZJZAlBetUjIe3cMsLcD3zJFWkMi3/wwQdFLfXzzjtP9Fd865PvdFiluE4HqvocU3GtT17SYZXiOh2oZndM2dpOCfQs8CmbRC1LUDcFLWgZqy/FNMPZ6YFjI9fvvvuueKgvLS094WIowBmaGxHlDGMfrjFMPuIlZ2bq2BJrxkLKfNaq61r/nHZ0dID3fnrVh+Zr4HYSCm/uV+e+9djG/i+++KL406WXXiqSzym+9c+3LAsV17KQ1P84imv9cyTLQsW1LCT1M45sbacEeha4lU2iliWom4IWtIzT98MPP8SKFStEyOxXv/pVMFv6SFwz2VtEkNPDx1D2oY0CfNKkSVFRThGhmj4RUNe1PnkZziruTd+xY4fYq85rL7YxhH3u3LlChNOLTi87hT3D5Zlc7vbbbxeVDxTfxuE7VUsV16kiaJzjc5lrRhfxfpcrLZe5NivHsrWdEuhZOFNkk6hlCeqmoAUt4/R95ZVXsGbNGmEwk8HRExfLdVFREQ4dOhQV5Y2NjcMujqHqTGJFTznFOcNqVdM/Auq61j9Hw1nIaBV6yCnAuRUltjGvA73qLHPocrlEeHzkATYSHcP+p5xyCiZOnGhMAJTVoyKgru1RITJNBzNzze0+rHLR0NCA6urquG08dBCw/OSSJUtw8sknm4bPkRZiZq5zgsBhFilb2ymBnoUzSTaJWpagbgpa0DJOX4apP/3001i0aJHY18rGxFKvvvqqeLhnCPtQAcA+LOXEcPWIKGcYey69xTYOwyNbqq5rYzPJZI1btmwRXnW+SIttfElGkU6xzlwSbEw89/jjj4P5Ivg580vwOlbNfAioa9t8nJ5oRWbhmi8TKbr57BFpjAT66U9/Kn49/fTTcckll0Q/4xYevqhku/zyy8VzjNmbWbg2O09a1idb2ymBrgV9SX1lk6jFLHVT0IKWfvuyfjnfQp+o8WH/+eefHzZ0nWXPInvJmeiNZdFUMzYC6ro2Nn+x1h85ckQIddZWp3CPbePHjxdCnXkmnnnmGfESjttZbr755hHvB+ZBJ/dWoq7t3OHcDFzzvsStO3V1deLFYaRRtDPZJfNv8D7G7TqRxui/N954Q2zRu+OOO+KEvVnZNwPXZuUm2XXJ1nZKoCfLRArHySZRiynqpqAFLf315f7Vt99+Gx988AE+//nPi/2qsY0P9K+99lr0bTQ/o0ec+1kjopxeOOUl1x+3qVikrutU0NPnsYx42bRpk8gAzxdysY0v1Vh2jaHtDAnlz6qZEwF1bZuT1+FWZRSu+RKRSWkZwcPElbGNoer79u0TuTK+973vxT1rMI8G710U70OTYfIex+ebMWPGxI1n1r3pRuE6d66+1FcqW9spgZ46J5pHkE2iFgPUTUELWvrrS48Za5tzPxe/6L71rW9FPeD8guPb68jDPMPXKcYZMjb0S09/K1MWpYKAuq5T2oxXHgAAIABJREFUQU/fx/IB9eDBg8KrzsgYPsRG2mmnnSZCRdULN31zmIp16tpOBT1jHas3rnmv4b7xiooKUSEm0l5++WXx4pDtnnvuEVE8kbZy5Uoh0CnCly1bFnecVjboiWclmquuugplZWVaD9d1f71xrWuwDGKcbG2nBHoWiJdNopYlqJuCFrT02ZfhYO+99x6uu+46se+UD/A8p7jfPFKznBnXL774Ymzfvh1Lly4dscyaPleprNKCgLqutaBl3L49PT0iodw777wTFeoMef/sZz8r8kmwhjpf0l1wwQXiAVk14yOgrm3jc5joCvTENV8GPvfcc2Kbza233hqXiHL9+vXiM95zuL0mHUkqPR4PfvWrX6Grq0s4Ib75zW8e53VPFFc99tMT13rEx4g2ydZ2SqBn4SyQTaKWJaibgha0st+X4ptvsWNrjvNvDH9lCBn/Z4IVfplG2kknnYTLLrtMPKzzbbYS6NnnMd0WqOs63Qjra3xe788++2xUpHOrC0NNmTiO4ad8oOVDNTPBq2ZsBNS1bWz+tFifaa4pgj/66CORWZ2JKPkv0pis8je/+Y349aKLLsKZZ54Z/YwvChnezgi9WM+6lrVSePNexX8s+8pEtTNnzoyb429/+xt2796Ns88+G8uXL9cyvO77Zppr3QNiAgNlazsl0LNwUsgmUcsS1E1BC1rZ7cs31wwlo9C+/vrrxdvq2MYvUHrLyCkbvyj5kM49qQx5VVxnl79Mzq64ziTa2Z+LfDNihqHvfMhmY8JHhqIy9JQ5J5igSSWAzD5XqVqgru1UETTO8enimhnVKYS5NW7y5MlRQPhs8f+z9x3QdRRn2696r1Yv7r33bgPGtNBbAqZ3SGgBfgIp30fykUYISSBA6M2YHnrHNu4dF9yrrGY1q8vq0n+eud7V7pWutHPv7L27986co2NLOzs78z67M/PM2/7617+y3ydPnkwXXHCBeg37jw8++IBZ4oA8KxkkeKUJhQIiuCtkXPkXweKcCw4IYA2kzFu4F3E4cAAZEhKiVvcHv3SzsObFR9YXJwHR3E4SdHHYGG5JNIiGH0wkSRuPsHxcFyZkMCVDwekxTpFRsMiuW7eOli5dyv6PAk0ZgsYhTZpS5ALgYwC9+HiJtReFbYFHKXhPnDiRmZoi7RoKNtOjRo1i+YS1KY4s0GXZBTclIL9tNwVnw9tEYN0TeX3iiSeYlto5ejpE9NRTTzEz8rFjx+oIujviw34EmnUtGUfcHBwEGC2I5H7RRRexA0dX5ZNPPqGEhASaN29eN8WF0ef4up4IrH09Bvl8vQREcztJ0H3whokGkWcIclLgkZZv62LTjYBwMGW/4oorWBolnDrD7OvQoUNq57AZP+OMM7qZmkmsfYufN58usfamtH3/LC3e0CwtXryYSktLWcdwSAfteWJiotpRbJydLXB8PwrZAyMSkN+2ESn5Rx1PsIblDFIzQlv9y1/+Uhc48q233qJ9+/YxV7mHH35Yp40GOUeQN975Aa53FRUV3cg4tPW9FRwcQhuPwLXKD9rCvkabrQK50hFLw9mEHhp1aPZRnLX+dnoLPMHaTuMMpL6K5naSoPvg7RENIs8Q5KTAIy3f14VvGMxWYfIFUg6/U/h/oeBvOGkeOXJkjx2VWPseP2/1QGLtLUlb4znOeENDhU14fn4+6yC0UNdccw1LvwYNFja0sLDBIZ8s9pKA/LbthZcnve0La3zncGvBvgAH89ro6d9++y1Lv4qCgGoIFKsUkHO0nZ2dzaxseMk4gs+CPGs14zgQVILSuhozlAtaIo7/Ixp7T89HWwh+qYwBbeKw8ZJLLtEFvDxw4AAj883NzXTLLbe4bXrvCU4i7u0LaxHPkG14VwKiuZ0k6N7Fjz1NNIg8Q5CTAo+0vFcXC+8XX3zB0pJoF1b0AKfLWLhWr16tdgjR2y+99FJm5uWqSKy9h5+vnySx9jUC3n1+T3jDZxQxKbAZR8HmGD6lMAfF/ILN/G233cbIuyz2kYD8tu2Dlac91WKN7xfm6to4Ekr0dDxn0aJFzDdcKbt372Z7CMSfWLBggduHcdCAg3xryTjIueJO52qMcXFx3cg45hreFJBHjx5lBByyQAGZR6BbuPgpfujQ+uOQwlk5YSffdPlde/q1WO9+0dxOEnQfYCwaRJ4hyEmBR1reqYvF5uWXX2Z+pPAlv+mmmyg8PJw9HH+D9gsB4ZSCxWr+/Pk6M7Weeiqx9g5+VniKxNoKKHivD67wxmEesjoosStgHorDPFjfTJs2jQVg4t0we29U8klyHg/sdwDf9TfffMMIMny54bqmjZ6OnORPP/00E9Kpp57KfpTijhsLssCAiMPKRiHkMFsH0e2twH1GqxmHyToIuqgC7fhXX33FUkoqBQcPyIcOi8KeCvZR7777Lksvi7pWL3LNtjpC/P0Tze0kQefHwOM7RIPI0yE5KfBIyzt1sRi+8847LGc5zM+uvPJKttjhRPzjjz9mplwo+BvMvbRRWHvrocTaO/hZ4SkSayug4L0+9IY35hOYu65du5Z1CBoo5Eo/55xzJDn3HkTCniS/bWGitHxDwBrWcvCzBuFG9HK4pmhJOK5hnwCiymOqDtc450jqSnDJ3gSD5ziT8ejoaK/IEnsiWAApmSpw4IiUb5jPtAeNkNWSJUtYSjYzc7OLHLT8rkVK0xptieZ2kqD7AFfRIPIMQU4KPNLyXl2cZGNDjaikKF9//TVt3rxZ7cCwYcOYv7nW56yv3kms+5KQ/1yXWPsPlkZGYgRv+HKCqCsF2nP4rSoFJvHu5jA20kdZR4wEjGAt5kmyFW9KAAdpcEdB3AiQThQFa5BpmLgPGTJEl5vcSP/QrjbHuDbXeG/3g/AiZoUzGfd1NggExv3ss8+YAkMpQ4cOZe47irsO/NexZ0KgPFgMXX/99VyHF0bkKrqO/K5FS9T37YnmdpKg+wBT0SDyDEFOCjzSMqcu0p0g0AtOx50LfL3gR6pEM8VpMMzcENGU1zRVYm0OflZsVWJtRVTM65NRvGEiCg2UYrIKk1i4yEALt2zZMrr22mu7xbwwr9eyZXckYBRrd9qW9/hOAl9++SVt2LCBdeDmm29mZtm8WOO7xj3OmnElkKyr0cGXG+502mjq+N2qB3YYJ9x2IDMlSjwOMM4991yWHk4pOPDAOLQZLHyHcO9P5sXaquOQ/eqSgGhuJwm6D94u0SDyDEFOCjzSEl83Ly+P3nvvPRa06brrrqMBAwawh2ABwmYaQV6UyKiIdnrZZZexyKvuFIm1O1Kz5z0Sa3vi5m6vefCG5glzDvzTURBYSdFGYSP7i1/8wrIbc3fl40/38WDtT+P297EgrsyLL77INL1nn302s27pDeuecoyDmMP6rrcC0u2c1gzR0ZFyzW4FJvkfffQRIZCcUsaNG8dia4Cw91Swr4KVAmTsa2sAbf/kd223t6/v/ormdpKg9y1z4TVEg8jTQTkp8EhLfF34lSOQCcr48eOZTzkWWJhw7dy5U7fo4HRYG8GVtzcSa16J2be+xNq+2LnTc168cTCINGxKPAuYhsKSB/MP5iFZrCsBXqytO5LA7RmINMjl6NGjdUJYv349i8SuZG5RsEbEcrigOKc1M5Jj3DmtGa+vutVRwkEF5LZ06VL10BHxeeACCJcAbTl+/Dj95z//YbLEIcWtt95qGdN3+V1b/U3j759obicJOj8GHt8hGkSeDmFSgF/iwoULWT5KWbwvge+++46ZqyOlGhZgmLQrwVpw2o3T4IkTJ3KbtDuPRC4A3sfWV0+UWPtK8r55rjt4Y65ZvHgxKeavCDQFKx4raZV8I01rP9UdrK09osDq3eeff858o3HYfu+997o8dEfUdqRShXULDtIUixdX0kKgtp5yjPO6wtkVDUS6/+9//8si3isFVgjY2ypZcHAN1kOITH/++efTlClTLDNc+V1bBgphHRHN7SRBFwaN8YZEg2j8yUQ4UXz22WdZRHD4I06YMIHndlmXUwJYdKGt0pqTwZwdP+vWrWOnwEp+UfhOwaQdgVpEFLkAiJCiPdqQWNsDJ1G9dBdvzEevv/66mmMY7jNXXXUVYbOPOQmuN96K0CxKFv7ejrtY+7tc7DI+aHuRMgwFWl4cvmsL8nkjoOOePXtcpjcTlWPcLjIz2k+4A37//fdMfkqcDVgMwDJIcQ2E1cGOHTsYObfS4YX8ro2ibJ96ormdJOg+wF40iDxDQFASBNpAWbBgAcunLYs5EoA5O/ylsCBDK64URCXF35ESRCnIUYxIriKDtMgFwBxcrdiqxNqKqJjXJ0/wRoRnaNIVzRP8Ua+++mq2yUW+dERAVqIjmzcC2bJRCXiCtdFnyHpiJAC3EbispaWlqQ2CRH744YfMx1yJOYNDeaz/+Oa0/tS4CXsA1EM0ckVDHhsbK6aDftoKfMwhY8USEUQcwTCRFQcB8ZwL5A/NOvzXnd0OvCUi+V17S9Lee45obicJuvewU58kGkSeIcAXESZXIIkIDqSd+LFQwBQIk5ZiIsTTtqzbJQH4PD399NOqpgqb3oEDB9Lhw4eZWRbkjwKztwsvvJBGjRolXHxyARAuUss2KLG2LDSmdMxTvKEph086NrbKPKQEm8rNzaUbb7zRUtomU4Rok0Y9xdomw7R1N6G9hesaFCAg1a6+H5B1ZFBAStXy8nLdmEHKcZiPfRisG+0QidxKoMEtAKnWsL9WCtx4oE3HIaS2rFq1ilkvopxzzjk0Y8YMrw9FftdeF7npDxTN7SRBNx2y7g8QDSLPELRBSGAKpC1vvvkmHThwoE9fKZ7nBXJdmK699tprdPrpp9PUqVOZKRYWBqVgI3zppZeathDLBSBw3j6JdeBgjZGKwBuHiNAi7d+/nwkP0aShvbvhhhtYQCVZrCEBEVhbYyT+3QvEklECvV5zzTW6gGU4ENuyZQsLbqYczkMa0PRCgzt79mxmki2x9vwdwXz28ccfq7E24F6IVLWwUsQchwL3QsRigoLkjjvuYC6f3i4Sa29L3PznieZ2kqCbj1m3J4gGkWcIriYFaE+eeOIJlmNy2LBhzC9RW2ASpExuPM8LpLoI6uJsTnXixAkm0w8++IDlPlcKXAtggtWT+ZUomckFQJQkrd+OxNr6GInsoSi8MWchT/r27dtZ90DQr7jiim7RkEX2XbbFJwFRWPM9VdbuTQJY07En0mZZQXyfJUuWsHUdubmxXwJ20KqDnGsjsIM0Tp48mWbOnKlGcMfzJNZi3jsEwkRmHPj1K2Xw4MHMWjEhIYH9qbi4mMXccI78LqYHfbcise5bRnarIZrbSYLugzdANIg8Q+htUgBJRzAN+E/BHFspOPFFqgqk48EppIz+rpc4zNuwAONU9qabbtIFWYIfOjbAivkoXApgcoXFwuwiFwCzJWyd9iXW1sHCGz0RiTeIBrRJmL9QQCxg2TNmzBgWTRpmuTExMd4YlnxGDxIQibUUsGcSwIEW1vqVK1cyV8CzzjpL1yD2AtCKl5SUMP/yXbt2qUFgUREBGGFOjX1UT8EYJdae4aO9G1hgP/vFF1+o6SVxoIL0tcCup4K4HHBVQMR3s+NwSKzFYW2VlkRzO78n6PC5HjRoUI/4gUy9+OKLfWILs6UHH3yQpcBAQY7Kxx57jJ2SulNEg8jTB3cmBa2/DjZuriY3nn74U10sAvArR8FpLAIuYVMLf6jNmzerQx06dChdfPHFXtvsuoO1P+ESSGORWAcS2uZo2rC+YXOqFJAPEAxo/pCOTZJ037xj8tv2jdx7eioIOmLLIBsCrN/uuecelciBECLGDIg5/tUW5DmHGTuy5vQWCFZiLR5ryBRBecEFlILDRxB17SEJXH5eeOEFKisro6ioKGb6biZJl1iLx9rXLYrmdgFD0GHaghRW2gLCBBOj3gp8snHaiQn2rrvuYlWffPJJZoq0ceNGZg7OW0SDyPN8dyYF9BckHdqU++67T5cyrLCwkPnvKGZDPH3xl7og46+++iqLinzBBRcw/034dmKiR4FGCrk58a55003AHaz9BZNAG4fEOrAQNwtvzPWffvppt3RPIBY4XJTF+xIwC2vvj8R+T1RSoGrXbQR5g/n0nDlzmDYc5uo4yELgN2jOtQVxZkDMR4wYYWjtl1ib844AR7ga4ABSyS+PfSt4AXgACszisW8DkYcSCsooM4vE2kzp+qZt0dwuYAj6b37zG3r00Ue5UQOpRw5L+LJgskWBLzGibiP6Iz5o3iIaRJ7nuzspYILDvTioUApOjHGaDN8rmL8H8gaupqaG+TPBrwlp7HAaiwJ3ALxDSk5OHqw8resu1p4+V97vfQlIrL0vc18+0Uy8sdYh4JWykYWW6c4775T50X0EuJlY+2hIln8s9jZQziDSN+LFQOOqFOyFoKwAacdeDq4hSK+mLSNHjmTEHKnSeIrEmkda/HWhNEE6tmPHjqk3QwGHIHLIXARsN23axCwdtPEF+J/U9x0S675lZLcaorldQBF0kHQUmK8YKfC9RqRzBM1BNG5tgcnfO++8w9KS8eaoFA2ikbEodUROCkgH8sorr7CmkeNTm+ubp092qosJHNYE8NPXpkaDjzlO1ZUorhgTXCDOO+880yd6V/ITibWdMArEvkqsAwt1s/E+cuQIS8OmBLaCRgnaJmgLZfGOBBT/fxz2rlixggUfQ+otWGxJHMzFoK6ujv75z3+yQyqk6Pr5z3+uasBBxqGNhfsaMFIKTN6RJm3WrFnd0noZ7a3Z37XRfvhzPXw/iCGAfRwOYlCgeEJsoJycnB6Hju8PrgkirSAl1v73lonmdgFD0EGilfQWMGm59957WR7w3gpORnEK+uyzz9Ltt9+uq4q/YdJGnb7M5J2fIRpEntdc5KSAxQspLbBQwV8RpFUp0CTD5AunkzhFRuAUuxdM5u+++y6zpsBp66233soWYqRTg8apqqqKDRETOQ4rsFj7ctwisbY7dv7ef4m1vyOsH5838IaWafHixWq6IqybP/3pTwnkBVp1owfdgYWM56NVtHggEZD5aaedphJ0mOU+/vjjbK2dMmUKs1yTxRwJwBIOboyTJk2iM888k2nJsadBzBnF9B1PxneAfQ6UFLzKGueee+O7Nkda9msVlrDQpiOeAAr2avPmzeuWXQeKKLgwYv8n0tVHYm2/d6avHovmdn5P0PPz8+nGG2+kiy66iAYMGMBMkBEYDqTygQceoL/97W8uZY7UWDBPRhRuRHXUFvwNGgUQs958VbDJ0ZrToA0QPAQSQ15sfPDeLNhc4SVCig8zcz8iKjD8slAWLVqkI+/eHK/oZ23dupVtlpRooDCZQlAYZcEGYQc517oCiO6D0fa8hbXR/sh65klAYm2ebK3YsrfwxiYSATAVE17Mb/DVRMwRuDRFRERYUTy27hOIwNtvv81imqBAsweLBqzZwEFxq4MPNIihUqDNhZsVsPHlwbDdhF9eXs7yk4OcwUJBKUiRCss4/IvI7cBAWxBADJjA/L23wG888vDWd83TJ3+uC+sUaNJx6KIUHH6dffbZ6h4OAf8Q8BffF+Y88AgRRWItQorWagPpSk899VQ2X2Bu8LT4PUHvSUDQ/C5YsIBFZYcG2FUexDfeeIOuvfZa9nHiBFVbvvnmG6Y1Rh2QbVflkUceod///vc9Xv773//usxyMnr44vd2PDcahQ4eYpgWnywiQot0wYFIUtaCZOY6e2sbYEAgGmyAcvGh9z7B5ha+5NwPBeXv88nlSAlICgSUBzNcHDx5UU0Uqo8/MzGQBMWXxTAKKma12jcTaCUKYnp5Oqamp6pqCwxEQd1gDQruujUINTSC0fbDuQppUGXW/b1xAvvft28cqIl6Mkl4WmOBwCgfwqKMt2NMAF5B5eRDSt4ztUAP7OHw7MH9HAa5ZWVns28P/4eqDOtjjySIl4EoC4D3333+/JOieviKIVIuI28899xwzVe6pSA26Z1KGfz4mNkx0SsFmDxYMWNxw+q9E0PTsSebcjYMcWDvghFy7EMM0CoEDsVlCgRYJQUasNhZ5QmvOe2HFViXWVkTFvD55G29oEmE1Bgs0FBywIjYLYrTI4r4EkAUFFliIZ+Jsro61E2S7J6xhsYU1SbsuQZGA9QoFexoteceahYJDFem/3oUXiDhiCeHQHZpRWL/t3buXbbCdA7+BvMOtAH7KZhFzb3/X7r+5/ncnrE+WLVvGggMqBYGhsbfrKd0a9rLYB8LFFUSet0iseSVm/fpSgy4II5i0wLz8j3/8I/3617/usVXpgy5I2JpmYCL+8ccfs7/AAgEBVaxYFFNCbGyQIm3u3LksYAzM2+EbqJ3A4eKgNY2zynikj5NVkDC/HxJr82VspSf4Am8QRphXKxtYEMCrrrrKJxkqrISFu33Bocc//vEPZjoL3+W7776bEXLnYhRraNyhDcbG//LLL9c1g2Cu0BDiOdDwmEUw3ZWFN+6D1QF8yhGVXXtIgUMSrPcg6YjgDaKmFFjD4eAE+xRozc0uRrE2ux+B2j4ObJBG7/PPP1cDAEIBg4MbvAfa7wZKPhzkIDgg3DhdWeK6kqXE2v/eMumDLghT+NWBWEGbe9NNN/XYal9R3OEnhhRjvIFBRIPIIxJfTwowz4O/F06psSHRBhrCBgMyhzbB16f8MBd8/vnnmVknyDfcGHCwoGgiIHP4rMHfBBO0FYuvsbaiTPy1TxJrf0W253H5Cm8cUkKTDk0BCgglNOnYuMK9pyeCGVjI8I0WB77Lly9nGT/g9+q8lwBhwLqImDnQ5MEMm7fgAOCvf/0ri5OC9F/ASyloH8HQYOUGgmFmXBrefousDxcNaMqh9QTZQkA3FOzfEPgN77Ni3oy/g5RNnTqV5TnvSXsqsm/atnz1XZs1Hru2i7S5H330kS7uwOjRo+ncc89lriP4ljAPbtu2jVkR3Xbbbdxzn8Tarm+H636L5nZ+74MOouUcsAsnpAiwgpRY8BmAGQsmbvwfvsUwA1MKSDxMx0AolRQMSh50aIBhBs9bRINo9PmYVDDxQAOspGwxeq/oej2likGkzLy8PLZJAHn3tZ864hMgnQo2T3gHQNZRsIlC4J7BgweLFovQ9uQCIFSclm5MYm1peIR3zpd4Yx1BEFBYmKFAywiiBxNhaJIkSe8ON7TaIOMwkdbuL0CesUfR/g13Y48C0ghiDlcxFMhV8ftX/oVpbV8HxMAGvtTY38CHdvjw4WoHQVCfeuop9jtMdXFI4I8F8kTaNMgbpuqnn346cy3Avk5bQMYhBwR4MjsPdk9y9uV37Y+4ezImJZsC5jrl8AZ7P7jGKt8QOAT4hdaN0+gzJdZGJWWfeqK5nd8TdBApBPnApAuCDR865DRHZMY///nP9NBDDzH0QQwHDRpEyG8OoqgUmIzhtBWnZCCNKE8++SQ7eYW5FAKg8RbRIBp9PsaM3LYgviCXOJhAxEqYbmn91Yy2J7KeNu8oTiqRzkdbsMkw0ywPCzd+tKflOLRBMECYvSkFfubICMBrNSFSVkbbkguAUUnZv57E2v4Y8ozA13hjPkaQ1aVLl+q6feWVV7q1JvKM3W51cSj+73//mykBsH64CioLmcLcGqQcGVC0Gl1XYwY5xxqOYH34AXHHem40uj4IBjLRoOBwRUveobmHdh+adaQa86Ym2ROMFWULrAW0Bes4DjuwB9RawqEOZIaUujiM7+vAw5O+9XWvr7/rvvoXiNcR5R8Wt9psTDhoQ+Donr4zHISBN8DipTclk8Ta/94m0dzO7wn6Sy+9xAg5PhicVINY4XT0nnvuYSdhSnFF0HEd/uoPPvggO3FFgT8yTMbczUEqGkSjrzlMyxHUoqcCrbVC1pV/cdruTS02zNthMoS86fhRCiYy+NBhk4CJUbQZHhZtmL/BrB4p+TBmTMrYuCipbqAlwqk7fNHsEqVdLgBGvwz715NY2x9DnhFYBW/4YH722WdMg46C7Chw/THzMJVHTlap++abbzLffaytWGO02llYZsHvFcRcWW+UfoMAgGjCPxr3YK1SgpP2NjYoFLSkHf93dagMBQbI+LBhw3TWD9AcKnuen//857pUqYhHgHXSajjD6g2+wTjwv+WWW5jbBQg7rBFg8QHFirZAUQFijkMIK4zFKt+1Vb4bq/QDrj2wPMWPMtfB3QQKQCi6lIJv89lnn2Wumjj0wTvoyl1TYm0VdMX1QzS383uCLk704loSDaLRniHCK06RcUqPBbavggULCz0mGi15h0+2N0kqImsqgdngP+d8Mt7XOPq6DjcFbJBQEEAGE+8XX3zBFnYU/A5XB8XFoa/2rHJdLgBWQcL8fkiszZexlZ5gJbx3797NXL2wiUWB3y7cv7y5RlgFG8gAh8zQxGq1ayDeINnjxo1T5QJNLkg51h5lrVHGAWIJH2hkEAGBhnm84pYG8om2oNHDv/iB8qGvAoKumMYr2vbe1nIQdBzAgIjfd999OgKLYIFFRUXMIgB+uVYgtxg/NONQyqDAuhGmx7B01B5qoK/AB8Tc2bWgLxmafd1K37XZY7Vj+9g7f/jhh+pBD94lKOzwbYKI4ztHbKqqqiq2l8SBpasisbbjG9B7n0VzO0nQffCOiAaRZwjKpABNMEy6MaHAP035VxvB1FW78IWD75uWuJtpJg/NP8wpseG79957dRs/TJgg0J7kfMWYX3jhBTYePAPmhUrBBun888/3iT8aD6491ZULgKcStM/9Emv7YCWip1bDGxpYuE8pB7+wLoNPOjKl+Drgpwh5G2kDVleQAcgygofix7lAPjArBzFXUtYpdbCugsCDmGuJoxGsoYVXDgEU4o51HX60vRUcImDd0xJ3rO0KZkrcGm1wOvzt8ccfZwcHOLS++eabdY8AcUebZuMOTSaIkHOMIWAADSbGrz34wEEDLPDg7mjFrCsQohGsjbyLso55EsA3/N1337GDH6XgwOviiy9m7z1X4xfbAAAgAElEQVS+RexZYUnUm7uExNo8jHzVsmhuJwm6D5AUDSLPEHqbFLDg4XReIewKacfGQ9GO9PYsnNA7a9ux2Iswk8fzsRjD7F4p2CggHgD6jJzqRgPcoC3niRN+QzDVxDNQsLlAtFeY1VtFO8CDs1zseaVl7/pysbc3fry9tyLeIJyLFy9mxE0p0LDC6slsssYrPzPqgwwq6xHcsHCYrKwzWEtByuEuh4NxbcHmHqQc5Lwnn1Z3sYYPO9ZuRcuuEPe+rOdwSK34tSvEHeu6YpaP/sM3HWsm4sWcdtpp6nBw2P3YY4+xcUOrCJJiRsGBEDT8WK/hroi+4f2DST4sOhQzZDwb+xJYdUDG2qwxZvTL0zbdxdrT58r7+SWAzADI7IP9JwreebhB4gCoJ+shuJfClQKuJHJ/xi9vO9whmttJgu4D1EWDyDMEdxYAEFpoBbDJ0Grc0VZfRTGTd/ZvF2EmD58++PahICo/gnL0VaBxhzmm4jsEko/TTpyIKtoG9PWyyy7T+dz11a4Vr7uDtRXHIfvUtwQk1n3LyJ9qWBVv+Pi+/vrrLFsICub/G264QRdTxF9wwFqItUJ7gLt161Z2wA2zV2jEQRZBzJ2DkuHAAoQcGl2Ys/d2CCwSa6xxaE9rHo//Q+PcV4Gm2tmvHZZrWjICNzrEc0FBjB/E+1EKyDRyscPv29OAc/AnR2YVFJiro/+II6QtOMyHGTusOexyQCQS677wlNc9lwAOI+EOCasYpSBLAAIJa600cDCHQHMoCC6H91Ji7bn8rdaCaG4nCboPEBYNIs8QRE4KOEnHZsRZ427ETB5adWfSjt95TNWhsVA2QDAv0pq6YUOEzRI064q5IDYIiKaLAwdoOK699loWpR1EXyk4ZYf/pAitPw8uZtQVibUZ/ZNtipOAxFqcLO3QkpXxrq2tZYFZlYBcmNcRudxTUmYVXHBYDXKIwLMYF6wEtAWB3EDKEZjMeS2ERRnWGJBGo9pcb2ANguvs1+4cUK0n+UM7rSXtyAYDwo+MMXANQ9papWhJNQLlaQPB9oWtc1pWmBH/61//YppyJf2p0gZcK0CAoKm0WxwEb2Ddl6zldX4JII7E559/rr6LsIQ555xzmIsPDt9g2QElEN7HW2+9lVmaSqz55Wz1O0RzO0nQfYC4aBB5hmD2pOBsJq+Qdx4zeYW4K+by7pjJawO/3XXXXSzYHQo2VtgoINActOmK5gAmcjjxh8mevxSzsfYXOfnDOCTW/oCi8TFYHW8Q0yVLlqiaYxC1a665RueiZHy01qqJteyZZ55h5BCHv9hw49AXObVBzJ01uTB9RSwTaMtBSnldpnyFtRKjRkvcsZ735e4GywGFtCvB6LCGQ7OOw3Bos3/1q1/pDsHhz4t3Btp1+LUrMsLzYE4PTeX111/P3AMg4w0bNqimxXg7UH/UqFGMmNstmKv27fYV1tb6wuzZGxxMwuQdrh9KwT4TB1VQPOXn5zOXDJB2FGANBREO+DA/wpLGObsDvjV8L/imeOcNe0rR3r0Wze0kQffB+yAaRJ4h+GoB0JrJazXuRs3koR13DkrnykweZnyI5IpgNdgQ4bReKdC6f/LJJ2rUdvwdCzpM2q0aOIYHX7nYuyste9/nq+/a3lKzb+/tgDd8nRHtW7FQgnYVRBWxQnyZa5oXdWftLe7HRhwYTJ8+nR30InK7c/ozrFnQlmNDzmMZ5tw/K2GNdVzxa9eayTv71TuPAZpDmJzjHQAJgZ8uyLtCSJ5++mnWLtZg+O4rBalOFfNhEHCQH60PPcgL4sQg6K1zsDhenK1Q30pYW0EedusDDu2QKQnEG/MGCr59KH+QVcB5f4b3G/MHym233aYLDrl06VJatWoVu/bAAw/o0iSifbiT4P1HCkQteUfGI3xLsG6BNai2YJ6CxQmsmZyVUbA6RTvorzYoJMakxG2ShwS9v5GiuZ0k6D6YAUSDyDMEqy0AzmbyCnnnMZN3NpXHBINJBQQdZF0xpYNfJDTrOMlUCoLYINqunTaMRvG2GtZG+y3r8UtAYs0vMzvfYRe8sbEDmYUPplLgowltutXnXGxkYW0Fje3tt9/O3KJQMCZsjuFCpdWW4RqIKIgktOWDBg0SovWyOtZKNHXnYHRK8KzevjMQAazfkCMIDfzJkdJUIQKwSkDaKucCoo/DEbiweXL4YbU5wOpYW01eVu0P3FyQjg17UKUgHgMIsxIIEli/++67ajaHO++8U2dhpFh74v6HHnpIp11XLERB0H/729/qxAD3IgRRdD7sQiXlIKyn7At/+ctfGHnH/PWzn/1MbRPf5aOPPsp+R7BFmO4rBVYDsJRCP3AYOXHiRPUaXIHWrl3L5nnE27CzZYvR90w0t5ME3ajkBdYTDSJP1+ywAIg0k1fIO8YNzbnir4bTRfitI6qmvxY7YO2vsvf2uCTW3pa4b59nJ7xxSPrpp58yQqsUBFHSbuZ8K82en64N7AQiiECkWLvx4xxUDZthkHJoc7G2iCx2wlo7bsWvXUvcjfi1g3BDu473BkRDW0DoYcYOqwSY/fpbsSvW/oaDiPHgIA/pgVesWKEGIMY8gX0n4iQoJu7Yg4K0I2aCNovD/v37mTIJBHnhwoW6QIfQkiPOAw4EEUtJW9544w0WjBHfyi9+8QvdNcRtgJk9DknhMqItIOF4Fsg0DsmUgj0zyDsKLFW0WnkcRCCuEwqCNGOOVApcfV599VX2K8asmPaLkK1V2xDN7SRB9wHSokHkGYKdF4CezOShcVdSoxmVAyZETBiiN1JGn++tenbG2lsy8pfnSKz9BUlj47Ab3jh0hUYIGTNQoCE977zzGKm1agFBhK85TNdhEoq1Rpu+C2OA2So0R/CdNisgmd2w7g1PmKcj+r3WPB6/9+XXDv9cbP7h02uWnK3wHvoT1laQpxX6AC06tOkgs0rBu4zDPASPQzpCM9wrMVc5m6RDq41vEBpvbcpi9AtBLUHQQewxnykFVq4IcIdr2DvDTQnfK+ZHjOmjjz5i1zAPYj5UruGQ4Msvv2TNzJ8/n3Jzc9k15Tq+ZX8Ixqx9x0RzO0nQffAFiwaRZwj+uAAYNZPHwo48lTgF9OdFXnkf/BFrnnc9kOpKrAMJbUeAIWhmzNrcmSVNmIsj2rFCdDEfIyWZL30b0ReYUkNjfvnll7O1AebZWKfRX2dTbZB1mKvixxuR6e2KtdF3CBt2bPSdo8hDc4cNPzTm7gTXM/p8K9Xzd6ytJGtv9gWxj0ByEdxQKSDIiJsAN0soixTiqiWxVvybko7YU/ndf//9qtuQp21Z5X7R3E4SdB8gKxpEniEEygKATRdM7JTc7fBpR1CMrKwsHnHZum6gYG1rkAR1XmItSJA2acbOeCM1JnwoFa0p5uSbbrrJZz7pCMSEgEwo0GxBywTCrtWW4xpMUKElQtRlb/rP2xlrdz8nyB5EwJtydrevIu8LRKxFys/qbSHWAmJywHc70AuCQZphOeBLuYrmdpKg+wBN0SDyDEEuADzSsnddibW98ePpvcSaR1r2r2t3vOE/+dZbbxE0SyjQJN1xxx0+MXnEIe5zzz2n+olq3w5otmCKCm25NrKxN98gu2PtTVnZ/VkSa7sj2Hf/oSyC6bc2cGbfd3leA4dd+IGFkPZfM//WW9sweZcm7r3jKgm65+89dwuSoHOLTN7ghgTkYu+G0Gx6i8TapsC52W1/wBvps5BmSCnQUMPE3MzgXzClRvAi+L7DRxIm7NDoO5ttwgdT8an0tRbXH7B28zUPuNsk1oEDOXy+EeUcAdsQGFEhzmYR5sCRrO9GKprbSYLuAyxFg8gzBLkA8EjL3nUl1vbGj6f3Emseadm/rr/gvW/fPmburuS2hlZl0aJFFBUVJRwkRFSGHygKtOHOwUWRuguR5UHe+/XrJ/z57jboL1i7O/5Auk9iHThoS6z9D2vR3E4SdB+8I6JB5BmCnBR4pGXvuhJre+PH03uJNY+07F/Xn/CGPyZSA5WXlzNgkBrz6quvFhaADf7MhYWFtHz5cpaayLkg5RG05cj/i+jGViv+hLXVZGu1/kisrYaIef2RWJsnW1+1LJrbSYLuAyRFg8gzBDkp8EjL3nUl1vbGj6f3Emseadm/rr/hfeLECVqyZAkj0ijIB3zrrbe6rcmGRr64uJilRoMZO/7VlsjISJaXF8Q8NTXV0i+Ev2FtaWH7uHMSax8D4MXHS6y9KGwvPUo0t5ME3UvAaR8jGkSeIchJgUda9q4rsbY3fjy9l1jzSMv+df0Rb5DqV155heXIRkEAoRtvvJEyMzO5AFu2bBnz7URuXueSk5PDSDly+dolQJE/Ys0FaABVllgHDtgSa//DWjS3kwTdB++IaBB5hiAnBR5p2buuxNre+PH0XmLNIy371/VXvKFBf/nll9WgbdCkX3nllSyQUm+lubmZEHQO2nKF4Cv1EXRu/PjxjJhnZGTYDnx/xdp2QHihwxJrLwjZIo+QWFsECIHdEM3tJEEXCI7RpkSDaPS5qCcnBR5p2buuxNre+PH0XmLNIy371/VnvEHSEcwN0dZRENX4sssuYz7izqWkpIQ2btzIyLkSaE6pExcXR3PnzmWB30D07Vr8GWu7YmJWvyXWZknWeu1KrK2Hiac9Es3tJEH3FBE37hcNIk8X5KTAIy1715VY2xs/nt5LrHmkZf+6/o43ArutXLmSBXZDCQoKovPPP5/lI0fu9F27dtGaNWvUwHIKojBbHzduHKsHc3Z/KP6OtT9gJGoMEmtRkrR+OxJr62PE20PR3E4SdF4EBNQXDSJPl+SkwCMte9eVWNsbP57eS6x5pGX/uoGCN0zWP/vsMxWwkSNHMs16U1OTDkSkTZs1axYzZUcAOH8qgYK1P2Hm7lgk1u5Kzn73Sazth1lfPRbN7SRB70viJlwXDSJPF+WkwCMte9eVWNsbP57eS6x5pGX/uoGE93vvvcc05s4Fpu/t7e00aNAgOu+889yO+G71tyGQsLY6Fmb3T2JttoSt077E2jpYiOqJaG4nCbooZDjaEQ0ix6OlDzqPsGxeVy4ANgeQo/sSaw5h+UHVQML76NGj9PrrrzMyjtKvXz8W8A1p0hAcDtpzfy6BhLU/42hkbBJrI1LyjzoSa//AUTsK0dxOEnQfvCOiQeQZgpwUeKRl77oSa3vjx9N7iTWPtOxfN9DwVszaExISWCR2+KQHSgk0rAMF157GKbEOHPQl1v6HtWhuJwm6D94R0SDyDEFOCjzSsnddibW98ePpvcSaR1r2ryvxtj+GRkcgsTYqKfvXk1jbH0OjI5BYG5WUfeqJ5naSoPsAe9Eg8gxBTgo80rJ3XYm1vfHj6b3Emkda9q8r8bY/hkZHILE2Kin715NY2x9DoyOQWBuVlH3qieZ2kqD7AHvRIPIMQU4KPNKyd12Jtb3x4+m9xJpHWvavK/G2P4ZGRyCxNiop+9eTWNsfQ6MjkFgblZR96onmdpKg+wB70SDyDEFOCjzSsnfdQMK6vf0EVVauoYqKZTRkyAMUHt5PBa+ufi8VF79DYaGJlJFxAUVHD1KvtbU1UGdnO4WGxlJQULBtAQ8krG0LksCOS7wFCtPiTUmsLQ6QwO5JrAUK0+JNSawtDpAb3RPN7SRBdwMET28RDSJPf+SkwCMte9cNJKxLSj6hXbt/yQAbPepvlJl5iQqe9tqkia9TcvIc9VpBwau0/8D/EVEwzZj+GcXGjlCvlZV9TdU1myksNIH697+JQkKi1GutrTUUFBRKISHRlghYFUhY2/urFNN7ibcYOdqhFYm1HVAS00eJtRg52qEVibUdUOLro2huJwk6n/yF1BYNIk+n5KTAIy171/U3rDs7O6im5gemJY+OGUxZmZdpCHM1rVo9nWnD++feRMOG/bqLhBe+Qfv3P8J+nz7tE4qLG6NeO3z4n3Qk7yn2+5zZqykyMlO9tnff/1BR0Zvs91NP2U0hIRHqtR933kVlZV9QWFgSzZ+3WfeiHD36HLW0VlJU1ADKyV6ku9bSUkEhIbEUEhIp9OXyN6yFCscPG5N4+yGoLoYksZZYB44EAmek8rv2P6xFcztJ0H3wjogGkWcIclLgkZa96/ob1h0drbRq9TRqa6ujhISpNHXKOzqAysq/pvi4cRQZmaX7e2dnJ3V0NFFraxWFh6dQcHC4ev348VVUWbmKWluracSIP+iI886d91Bp2WcUHBxFp526U9fmD1uvpqqqdRQZmU1zZq/UXduw4SdU37CP4uLG0fRpH+murVo9i1payiglZSFNGP+ceg193LfvdxQalkCJidMopd+pmmvt1NJaxTT5wcFhPb6U/oa1vb8883sv8TZfxlZ5gsTaKkiY3w+JtfkytsoTJNZWQUJcP0RzO0nQxWFjuCXRIBp+MBHJSYFHWvaua1esT5w4QuXl31Jt3U4aO+ZfOhPyH3feTWVlnzNiPGvmtxQc3KXVFo0WSHN7ez07EHAm/UVFb1N9w34KDYlmPu/asnrNHGpuLqHk5Hk0aeKrOhK+/PvR1NnZQhnpF9KYMU+o1/CMFSsnst9zc2+g4cN+q15rbMyntetOY78PHfIgDRhwm3oNssoveIXa2yPp8KEkmjfvSkpMTGTX4XtfVbmW/T894wKKCE9R74MlQk3tdvZ7VuZPKTQ0Rr1WWbmWGhr2s99zcq7Tyb+8Yik1NRYyc/+srJ/qxl1a+hmzHAgPS6b09PN014qPvU8d7U0Mt5QUx1iUUljosFKIiRlCSUkz1b+3tzfSsZIP2e/xcWMpPn68eq2lpZLKy79mv0fHDKWkxGm6Nv39F7t+2/6Oixnjk1ibIVVrtimxtiYuZvRKYm2GVH3bpmhuJwm6D/AUDSLPEOSkwCMte9e1K9b7DzxKBQWvMOHPnPE1xcQMVYGor99HMHWPjR1pCd/vnt4QmNmDcHd0tulIMf5++MiT1NZaQ/Hx4ygz81L19sbGIlq7bj77ffCge2nQoLvUa7W1O2jT5ovZ7yNG/J/ObL6iYjlt33Ezu9bYeB3NnXO3StALi5YwrTzKtKkfsWcqRWvaP3fOWoqISFev7dn7axZUD2XBaQd1ct6+/RaqOL6MwsNTad7c9brhb9x0AdXV7aK42DE0ffonumuK5UC/fqfSxAkv6a4tXTaE/Y6DglGj/qxea24uo9VrZrHfBw68k4YMdsQYQMHhzaZNF7L/p6efT2PH/LMnKPz2b3b9tv0WEBMHJrE2UbgWa1pibTFATOyOxNpE4fqoadHcThJ0HwApGkSeIchJgUda9q5rZaxbW2uZBhRkLzf3Rp0GFNHYt267lvlqjxn9OKWmnmFvIAz2Hib8bW0IPhdOYWHx6l2NjYVUVPw2tbVWU0bmxZSYMEW9pg2A13jiDpo79+aAI+jTp31KcXGjVZngcCQoKEy4n79BGL1SzcrftlcEEEAPkVgHDtgSa4l14EjA/0YqmttJgu6Dd0Q0iDxDkAsAj7TsXdfKWNc3HKANG85mAnYO6tbR0ULV1ZuYL7bWX9zeaJjX+/b2Zjp+PJ/WrdtOp5yyUCXoiDTf3FLGHhwVmasjrAhWBzNxFKSd0/q2NzWXMC0/SkzMcJ0GvbGxgNraGygoKIRiY4bpBgVz+/b2JuZ2EBMzWHfNYfnQxg5doqMH6K5BG44SFppEUVHZ6jUcWNTX72W/h0ekUmREhnoNafUaGg4ya4qEBIdrgFIOHPgTHSv5iPrnXk+5uYi+b54bhHmo9t6ylb9tX8nEX58rsfZXZLuPS2ItsQ4cCfjfSEVzO0nQffCOiAaRZwhyAeCRlr3rWgHr8vLvqKJiKQWHRNGI4f+jChT+3fCrbm4+RhkZF9PoUX8RImxoT6urNxMFBTFfaERZx09ISIxlTeJFDNwKWIsYh6dt4FBizdp51N7eQFFRA2nWzG/YYYK/FYm3vyHqejwSa4l14EggcEYqv2v/w1o0t5ME3QfviGgQeYYgJwUeadm7rhWw3rzlcpYaLTQ0nubN3ajT1MJfOSqqP4WGxnkk6KamYpZ6rbziO6qqWk+dna3d2oPZeDjIeriDsDt+kh1/U37Ctb8n28pE2gpYewSioJvb2hqosPANKih8hQYP+iVlZ1+hORRqJwTcg8WA3YvE2+4IGu+/xNq4rOxeU2JtdwSN919ibVxWdqkpmttJgu4D5EWDyDMEOSnwSMvedb2FdX39fiop+ZCOV66kyZOWUFhYgiq4vLxn6dDhxyk2dhSNH/eczoTZXelC+15fv5sQUbyi/Duqq9/lblO93of0ag5S79DEazXyXX/rIvthYYku06CZ0kFNo97C2uxxiGofZv9BQUE6F4nSsi9o5867KTX1TBo29CF2OGTXIvG2K3L8/ZZY88vMrndIrO2KHH+/Jdb8MrP6HaK5nSToPkBcNIg8Q5CTAo+07F3XW1gjhdaePb9iwhoz5p+UkX6+Kjj4OsOn3DlNGa9k0UZV1QZmLg9NOUzjnQt8n5OT5lBKygIKDUtkec9bWyod/7ZWsRRgyv/xL/yYRRdYAyjaeQep1xD4cOX3LtN7HGaIMMH2Ftai5eWt9nCos2nzRVRXt5MFkJs9+3udT7u3+iHqORJvUZK0fjsSa+tjJKqHEmtRkrR+OxJr62PE20PR3E4SdF4EBNQXDSJPl+SkwCMte9cViTVMh4uKFlPF8e8pLfVsys29ThVOc0sFrV49k6XqgllxVtZlQgTX2lpNx4+vYIT8+PGVLCe5c4GZOgh5aspCSk6eQyEh0YafjYBmOvKuI/Mg9RpC3wKCX8VymIstQQTNe5fZvUZTf9IcX6e5D0tmLgHQDmuLSKzFjs8arYGgV1WtpaNHn6OIyKxuMQ+qa7ZQfNwECg4OtUaH++iFxNsWMAnppMRaiBht0YjE2hYwCemkxFqIGC3ViGhuJwm6D+AVDSLPEOSkwCMte9f1BGsQGi0J7OhoppWrpjKtc1LSLJo8abFOOIjgjaBczsSRV4LwEYbpenn5t1RTs5mQO9y5REcPodSU0ykldSElxE8UooE20k/IBMHH9KTeoZ0HmQeB12roESUdvxN1GGnecJ2goNBuhL6jM5qKi6ppwIDBFBkVQ8FBIUwuqMs09Cd/Dz75O/5OQcHsuqOuvp7270o9tKPcTxRCQcGO+5T7iRztOZ6LH/0hguEBmlwR0eG1Uevxzq1ddzpFRmbT8GG/sUVaP0++bZPFK5sXLAGJtWCBWrg5ibWFwRHcNYm1YIFaoDnR3E4SdB+AKhpEniHISYFHWvau6w7WZWVfUUnpx9TcVELTpn2oE8COH++gysq1TGM9ZvQTQggY0mTV1u6giorvmKa8oeFAD0IPZrm/QchBzO0U5AvjQ2R5RRvPSHxLl3beQeormSm+QvCRC90fisN0XyHrXYcAXQReIfP4V0vutSRff9DQ070x0YMpM/MyCg9Pdkts+/Y/wgLLoUwY/yKlpJzmVjvevMmdb9ub/ZPPEicBibU4WVq9JYm11RES1z+JtThZWqUl0dxOEnQfICsaRJ4hyEmBR1r2rtsX1iCPKCBHStm773+ZKTvKrJnLdDmrm5vLWQA4T3OTw7Qc5sbQklccX0bwU3cuMFVPTp7PCHm/fqe6Tb7siGBHRxu1tVU7CDsj8z0Q+pPXFFLfk/m/Hcfubp8RfyAz4xLKzb2BYmKGcDXT3FxGBQWvUnXNZpoy+R3dwVNV9SaKisyhyMhMrjbNrtzXt23282X73pOAxNp7svb1kyTWvkbAe8+XWHtP1t56kmhuJwm6t5DTPEc0iDxDkJMCj7TsXdcV1g0Nhyg//0WqOL6cxo39NyUmTlUHCh/zHTtuo8TEaTRs6MMUFzdGiBBAwisqljMteWXlauroaOrWbkR4OqWknk4pKadTUuIsCgmJEPLsQGiksrKMVq/+hmbOnEHx8THU2dnG3AO6fpTf8W+H5rroenimizZJ6U8bdXa0U6f2d9bXvvrWU9vdU+rhQKd/7o2UlDSby8qju1tHK61ddxo7QMrNuZaGDfu1ZV4lOY9bBgrTOyKxNl3ElnmAxNoyUJjeEYm16SL2+gNEcztJ0L0OIZFoEHmGICcFHmnZu66C9bx5syk5OVUdDPKPb9x0Aft9wIDbaeiQ/6deQ7R0+Jt7mpscZOfEicOMkMN8vaZmKxF1dhNobOxISklxmK7HxY3VafPtLX3v9j5Qv2u8q6Wln1F+wStUX79HJ3S8W9CoI6sANOy8pbT0c9q5625228CBd9KQwb/kbcK0+oGKt2kCtXDDEmsLgyO4axJrwQK1cHMSawuD42bXRHM7SdDdBMKT20SDyNMXOSnwSMu+dZEHet++J6iw6FNKTZ1KkyY+qQ4G5HnN2rks0Fh21hWUk3O1kIHCNLum5oeT/uRLqbExr1u7CCKWlDiDacnxExWVI+TZgd5IoH/Xjijt66ig4BXmNqEt4eEplJN9NWVnL6Lw8H6GXxVYH5SVf0OFBa/RuHFP6+6tq99LLc2lzA3DF8HwAh1vwyD6QUWJtR+AaHAIEmuDgvKDahJrPwDRaQiiuZ0k6D54R0SDyDMEOSnwSMu+dUFY1q5dSE3NeRQamkTz523QRTtH4DJPteSQDtKvVVauOpkK7fuTUcv1csNzYHYMQt4v+RQKC4u3r2At2nP5XXcB09BwmAoKX6Fjx/6rc6WAFj0j4yKmVY+NGeYRkjt23E7lFd9SbOwo5rceGhrjUXu8N0u8eSVm3/oSa/tix9tziTWvxOxbX2JtX+xc9Vw0t5ME3QfviGgQeYYgJwUeadmjLtJ5IfJ6TvZVugBu+/Y/Q/n5L1Ba2hk0ZvTvhBBySKSpuYQqKpYxTXll5boec4MjZZViug5/dk8Dy9kDCd/1Un7X3WWP4HpFRW9RQeEb1NJSpqvQL3k+5fa/iZKT5nBrwJubS2nN2vnMZz45aS5NmvSa14GXeHtd5D57oMTaZ6L3+oMl1l4Xuc8eKLH2mRX93HQAACAASURBVOhNe7BobicJumlQuW5YNIg8Q5CTAo+0rF8XkdDhJwvf8bFjnqT09HPVTiNw2KpVq+mUUxZQYmKi24OBNr6+fq9qul5X92OPbcXHjXeYrqcupNiYEdzEx+0OyhtJfteuXwJ8G/Anzy94merrd+sqxsQMZwHl0tMv4ApKeOJEHgu0mJZ+LiUnzVLbbG2tpcKiN9hhWViY+99cX6+0xLsvCfnPdYm1/2DZ10gk1n1JyH+uS6z9B0tlJKK5nSToPnhHRIPIM4SqqirauOlKysqcSgMGXkHxcWN5bpd1LSYBpD6DPzm0edBYTxj/nNpDTxaAjo5Wqq7eeDLI21JqairqNnJoxREp2+FPvoAiIzIsJp3A6Y4nWAeKlHDQVF29gRF1WIBogxaGhfVjsRhymJ96itsiycv7Dx06/DdCmsCJE1+lxIQpbrfV240Sb1PEaslGJdaWhMWUTkmsTRGrJRuVWFsSFo86JZrbSYLuERzu3SwaRJ5eFBdvoD17F7FbcnKuoRHDH+G5Xdb1kQTq6/dTUdESamurpTFjntD14vCRJykqMpfS0n6i0wLyLgDQ/h0//j1VVCyl45UrCH7qzgWB5VL6ncYOA5KT53rd99ZH4rf8Y3mxtvyATO7giRNHKL/gVTp27APq6GhUn4ZDp4z0k37qscO5eoEDgE2bLyRkSQDhnzN7JYWERHK1YbSyxNuopOxfT2JtfwyNjkBibVRS9q8nsbY/hs4jEM3tJEH3wTsiGkSeIeTnf0379v8vBQeX09Qp71NCwiT19rq6PVRVtZaZbUptKI9Uza+7bfuNdPz4CiIKotmzVlBUVHafDzWyADQ2Fqqm69CYQxPvXKKiBlJq6kJGyhMTJuuCzfXZCVnBKxIwgrVXOmKzh7S2VlNR0dtUWPg6NbeU6nqfnDyPmb/jX6OR2pH27VjJRxREQZSV9VO1PZD3g4f+SmmpZ1JCwmSPpSTx9liEtmlAYm0bqDzuqMTaYxHapgGJtW2gMtxR0dxOEnTDohdXUTSIPD1zTArf07RpGZSZOUO38dy3/xEqLHyDkcBZM7+j6OiBPE3LuoIk0NRUTCEhMRQWlqC2WF6xlHbsuJViYobRqJF/MrTJ72kB6OzsoLq6narpOnzLu5cg1j5yk6eknEExMYMFjUw2Y5YE5GLvmWThp15W9iXlF7zENODagm/OkU/9Ii4/dW0blVXraOtWRzrDIYPvp4EDf+5RhyXeHonPVjdLrG0Fl0edDRSskQb20OHHCZZMiOHRv/9NHsnNjjcHCtZ2xMbdPovmdpKgu4uEB/eJBpGnK64mBWh41m84g02Y2JDOmP6ljrzX1v7I/m6WySbPGPy1LqJD7933O6qoWH5yE3+7OlTkZK6p2UoJCVMMa/MUrOfNm0kdHbuZ6Tp8b501hXhIcHAU9Uuey7TkKSmneuSH66/4WHlccrEXg47DT30TI+r4XvR+6smOfOo5V1EEp5/6ocP/oLy8f7NOzpjxlcdp3iTeYvC2QysSazugJKaP/oZ13tHnmEIgIjyNhg//nWY/00nfrxjH3ItSU8+k8eOe1QkQmWL83YrT37AW8wXYuxXR3E4SdB+8D6JB5BlCb5MCzDMrjn/P9qRpaWepzeLvq1bPIGxeB/S/hQYNupPnkbKuQQlAzqvXzKXW1kqKjMyh2bOWuW1O3tpaQ/n5n9LBg+9TeMRBnZ+t0p3w8FQW3C01ZSEL9iYPXwwCZcFqcrEXDwoOKwsKX6Pi4vd1309QUDhlZFxI/ZFPPXaE4QdDMw9N+oD+N+vuyct7lgWVg0l8SEiUofYk3obE5BeVJNZ+AaOhQdgR65KST6iyag21tdXT+HFP68a5afMlVFu7naKjBzGrTG3ZsPF8amoqpH79TqGxY/6pXqqq3kRbt15FmZmX0aBBd/stUbcj1oZe4gCuJJrbSYLug5dJNIg8Q3BnUigr/5p+/NFhkjls6K915kjQ7BIFG9bq8vTVX+vioKOmZgszMx865Fc62R069DjV1e+m7OyrWDC2oKBgw2Jobqmg8vJv2E9VFfKTd/cnR1opZrqeegbFx43jat9wR2RFr0vAne/a65206QNx2FVUfNJPvblENwrkQc/tfwMhrzrPt6o00tJSSWvWzqOOjiZKTJxOUya/ZUhKEm9DYvKLShJrv4DR0CCsijUOFsvLvyaklxw39mldcNjdex6iY8feY66Rp56yU3fQv2v3/VRW9gXFRA+jadM+0s2RbW0N7GBSG98De6MtP1xBNTWbmbymT/uU4uJGG5Kd3SpZFWu7ydFK/RXN7SRB9wG6okHkGYI7k0JLSwWVlH5KpaWf0bhxT+tONHF6evjIP1ge4dyc6yg8PJmnOwFZ98iRfzOZoUye9BYlJU1X5YAFymhAKtwEf3UcoICUwzRXa5KL652dwRQfN5kyMs9mxDwqqn9AytzfB+3Od+3vMhE9PqQe7PJT36lrPjp6KNOoZ2TAT9145PbKyjX0485fsIwJo0c9RpmZlxrqtsTbkJj8opLE2i9gNDQIX2Ld0HCQZbWA5dCgwfdSXOxItc/5+S/TgYN/ZL9Pm/axLj0vzNgPHfobs/qbPOlNXQBbaNUdJNyYogH7H2SSOXT4CRYDadzYp3Ry6+hoo+DgUEOytHolX2JtddnYtX+iuZ0k6D54E0SDyDME0ZPCtu030/HjyykoKJTmzlknCXoPYGBjHxwcpl5ByrQNG89hvw8aeBcNHnwvD4TsFNtByr9m5mPOBamikpPnU2zMXNq5M4ROOeUnlJiYyPUMWdleEhD9Xdtr9N7tLfNTr9lMBfkvMSsYZz/17OxFzFc9IiLVUMdAzo8d+y9lZ19J+HaVggNRuBwN6H8rxTqlfJN4GxKtX1SSWPsFjIYGYTbWLS3HqbBoCTWeOMLSsiI7i1JwWLh127Xs19GjHqfMzIvVa4iLs33HzSw2zejRf2fxapQCTThIc3BwhKExGqmEYLbt7Q0UGhqnVm9traKNGy9g82ROznW2T/FqNtZG5CzriJWAaG4nCbpYfAy1JhpEQw89WUnkpICNKk5Oj5V8SHFxY2jihBd1XTlw8M8UHT2Y0lLP1kUk5+mvXetigSkt+5yKCt+k6JjBLPK6thzNf4Glb9KeUrsaK+Tc0LDfQcrLvqL6hn3dquKUul+/Uykt9Sz2b2hoLInE2q44BEq/Jda+QfrEiaNUUIh86u9Te/sJtRPMTz39fMrtf6Ohb9y59/jmN248l33rwcGRNG/uet1mVeLtG7x98VSJtS+k7ptnisAabof5BS8zTXhs7CjKzblGHUxzcxmtXjOL/d6//y00bOhD6jVY48HdBhlkhgz5f7r7EHW9s7NFNwd5W0IHDv6F8vNfYI8dNfLPujSW3u6LiOeJwFpEP2Qb4iQgmttJgi4OG8MtiQbR8IOJTCFtWBCQTzg8vJ9mISil1WvmMO0STmqdTZV4+mzHuthgb9p0IdXV72IR0ufNXce1uOH+urofGSkvK/uKGhvzuokhNDSeUlJOZwcgyclzu5nWygXAjm+Oe32WWLsnN1F3tbbWUnHx2yyoXLOTnzoCMCKfOoIhGTX1hKZr+45bmIUM4lGMHPEHXVerqqpo5cqVdMopp0jrGFEgWrQd+W1bFBgTusWD9bGSj1iE9JDgSBoy5AFdb1asnEJtbdXssH7ihJfUa9hXrFg5gZBWEkEptfMKlApwZ0TwWB43O3fFgD7gEKGh4QAhantiwlRKSJjosrmiorfp8JF/skCaM2d8o7NKdLcPvryPB2tf9lM+27gERHM7SdCNy15YTdEgGu0YJsPdux+hsvJ4Gjf2QsrKQuTuaKO3c9VD3u6dO+9kC8G4cc8wza5SMBk31B+gpKRZfuFPhAOK48dXsvFo/U+xoCC3fFra2SwYXGRkZq8yRDvVNT8w0/Xysq+pqbm4W/2wsH6UmnoGI+VJSTN0JrHOleUCwPXK2rqyxNoa8DE/9fKvqCD/Zaqt26HrFKyJkE89M+NiQ9HaHSnfNlBkZK7Or7Oh4TBt3/Fzqq4aQ9On30UpKQOtMXjZC1MkIL9tU8RqyUadsYbZeVXVekacR436s67PW364kqqrN1JkRBbNmbNKd23T5suotnYrJSZMoylT3tZdg6Y8PDzNa3sv+I03NuYzIl7fsJ9ZA+L/2I86B7JNSJjKMgUhu0xPh5nt7Y3U2Figc/nBPLlz1z0sG016+nmGD0F9/QLI79rXCIh/vmhuJwm6eIz6bFE0iH0+8GSF4uJ3ac/eh9XqQUEhzAQqIWEy+0lMmEKRkVlGm+uzHnwrEbwsLe08Cgnp8k/Ky3uGDh3+O/NnmjxpCcXEDOmzLatWqK3dQT/uvIulC3EO8oTFBH5UGKergg19VfUGZrpeXvEtW4idS0REBqWmnsVIeWIi8qCHGBKHXAAMickvKkmsrQWjkqkBpqbl5d8SUYfawbCwJMrOgh/lNRQRkcbd8T17HqbiY++y+0aPeocyM6dytyFvsI8E5LdtH6zc6Wlt3U6qqFhGjSeOUnr6nbRmzQ7VMmbvvv+loqLFrNlT5m/TWeEp80BoaCKz0NPGrwAJDwtLNE0B09M4oYHHPqi+4QA11DtIOAj5iROHmKKGp0RHD2HZgjLSEXSzd9/2srKv6cedjixDAwf8nIYMuZ/nUT6rK79rn4netAeL5naSoJsGleuGRYNodAhHjz5Hh488yVL6uCoggwphx79xsaN61dIafba23voNZ7PJOywsmebOWaszVYKpaFhYvDvN+uQemPavXjObkMM8Pn4STZv6fp/9gD9XZdXqk6R8KbW11XS7JypqACPkqWlnUXzceLdMzuQC0CcUflNBYm1dKKE9Kih4jYqPvccO7JQSFBTGND4wf+dJJbT/wB+pqOgtamuLpalTvqSkpCS1zcNHnqLgoFBmtYPcw7LYXwLy27Y/hgjsijgVJxqPMg1xfPx4dVAI2rZv3+/Y7yOGv0xbtlSrBD2/4BU6cOBRFoBt2tQPKTZ2hHof/MkRnBcHft4wSVcejMPH5uZjJ7XhIOOKZvwgdXQ09gkWDhJAwGNjhlNMzDCKiR1OoSFxVFS8hKVkc6TudRQoN5AdCG4+YWEJPbYNGSEWEg4IkGs9Kiqnzz5YoYL8rq2Agtg+iOZ2kqCLxcdQa6JBNPTQk5Wqqipo9ep3aMSIUGpp3UM1NT9QU1ORyyawMIAgdpH2STpfc55nK3WxWCFtW3BQGA0ceLvaBCb+desWUGhYHOVkX0NZWZe707wp9yBdSEnJx2xRGjni97pnIBgeFsrsrCsoKiq3x+cj0unxyhXMnxxpRLQbdeUG5ChXSHlszAiPF125AJjyKliyUYm1JWHRdQoWRUXF71BhwWvd3FeSEmcyjRF8Ro34qVdWltDqNZ/Q/Hk/VX3QcUi4ctV0am+vN3xYaH2pyR7Kb9se70BLSyUdzX+OacIRdycj4wK149XVm2nLDz9jv48c8SiLRK4UJXo69hCDBv6JduwIVQk6IpfDEg+KEyPzgkhJYT8Giz6YpDPTdFUrfoDNMX0VjAeHhIyExwxXCTlSvbpKldbYWEgFBa8wCyFt0E24YmZl/Yxyc27QufsofYDbZE31ZnbgqS0FhW9QfNwYtn+1WpHftdUQ8bw/ormd3xP0zZs30+LFi2nZsmV05MgRiomJoTFjxtDDDz9MCxd2pZhwBc31119Pr732Wo+XCwoKKCeH/7RONIg8r1VPkwKb3Gq2MrKOn7q6XdTZ2eqy2aiogZR40iweEx8mYBGLB/qwectl7Ln9+99Mw4Z2mePzjNGMujt33UulpZ+ypnFKa0Q71dpaw0zX4JNaWbmKadmdS1zcOEbK09LOMtQmz9jkAsAjLXvXlVjbBz/4ZCLOBMzfa2u36TqOeQWbUKQ46i0+SE9419fvoy0/LGLBoYYOfYhp6pSCw4GjR5+ntLRzmFuTNzVu9kHGmj2V37Z1cAFphUb7RGMeU1wMHnyP2jms9ytXOYgg0oCNGP4/6rXm5nJavWYm04QPHvxL3bcJAt7SUk4REVlUW1tPK1as8HrwRxwudPmIH3D8v34/m0v6LsEUHT1AQ8QdhBx5zLVm932301UDlolFRUtY0E2t2x/c+9LSzmXy68vqCL7q69YvZH7uiP0xfNhvebpgel35XZsuYq8/QDS383uCftlll7EJ79JLL6XJkydTfX09vfLKK7Rz50565pln6I477ugVRIWgg6QHBwfr6l5yySUUHc0fZE00iDxvoZFJob29iUUHranZwoKWgbS3tla6fAxyVcbHT6SEhCmMuMfHT2BpvnhLQ8Mhys9/kRHayZPe1E3AVVUbKb/gJcrIuJBS+i3oFrGc91m91QeRhm+4dgzKKTdSkIwa9VdKT3PkMXcuWEzgc4ro61VV67oFQSEKYtFKYbqOwHkiff6d+2IEa5Fyk235TgISa9/J3pMnY27Nz3+ZzRdaP3X4lULLhhRJERHp3R7hCm8lpkVszDDdfbD+2bX7PtbOmNFPsHlUFntIQH7b3sfp8OF/sf0PMqWMG/dvXQeQnQaZGhAUdvIkh3+4Ulaumsr2DjhgGzH8EfXvill4X5pws7HGQZ2iDWe+4icDtvUU+6YnqSNgJeYWmKVDMQMzdQS/1AbHFYkW3AFLSj5ke78TJw7rmk5OmsNSxSGDTU8HjgWFr9P+/Q5rR+dAxSL76G5bZmPtbr/kfe5LQDS383uCvmbNGpo6dSpFRHQFmmhsbKSJEydSeXk5lZWVUWhoqEtEFILe2grC5roeD6SiQeR5tjuTAhaXxsajqoYdm0pM8kih1nMJZr5SXcHnJrNIxEa1NiDIyCOsra8NjIQUG2YEloMZel7e08xXNCf7Kho8+F7dAltS8l8WrM358KGp6RjTiJWVf0PV1Zt0G200gFPfpMRZjJSnppxBERGpPJC5XdcdrN1+mLzRpxKQWPtU/B4/HNoebCgRyFNrPsr81NPOpdz+N1B83Fj1Obx47979IB0r+YDNRXPnrKfw8GS1rarqTRREQWy+FmEJ5bEwZAM6CfBiLcVnTAL43srKvmQaWuwptPuNrduuZ1ZviJMzfx7W9K6C6OnQMOOgffz4/+iuQYsOUm90r+PcU1FYYy+D4GzQgqsm6g0HuqWAdCUpHCQoBJyZp8eCiA+h0NAYY8IVXAv+5RUVS+lo/gvs4ERbYBEEjTrcCoKDw3TXEMQXh5PDhv1Wh0l1zRaKCM/o0VxecNddNicKa2/1Vz6nbwmI5nZ+T9BdifT++++nJ554gvLz8yk3t2e/YdyrEPSWlhYCsY+Nje2mSe8bNn0N0SDyPF/UpICT2JqabV2kvXZbr35JCPahDz43ts/onNpx/bjzbraYxsWNounTPtEN+dixD5l5ODT37i6MaBCmp2vXncIWMeQCnTN7lctcmydOHKXy8q+Y5gu5ip0LTLuSk+dRauqZLP0HIqp6u4jC2tv9ls/jl4DEml9mVrwD82px8XtUUPhqt9ggiYkzWEA5pCCqqanlMoXFBremdivV1+2hnJyrdUOHWTzSuSEwJdx3JEm31pshv21jeECRAKWB9v0tLfuCWahAwTB92sc6i7UDB/7ENLMo8+Zu1MXW2bcP6Wi/puioATRp0us6U20oEGCqbkbhxRrWjoyI6yKnH6CmpgJD3cO+DATcQcZPasajh1k6UC8URCDqjuwYXUqiiIhMNj8iv3tvFpyIKL9+/Vks93r/3Otp6NBfGZKV6Eq8WIt+vmxPvAREc7uAJehXXnklvf/++4SPBH7propC0OPi4qiuro6ioqLonHPOoccee4yGDHEvPZhoEHleM7MmBUTexCLh8GPfwv5F9GJXBRpyJXgHTONB3vvSLDe3VFBLcynFxY1Rm0UgkVWrZ7CAIjhBHTf2KUPiwKl5aennLNWRdkFHFGREW83OXkS5Odeq+Yqx+OPUHIs2iHl9/d5uz4HPKII8wXQd/7pj5m+o8wYrmYW1wcfLal6UgMTai8L2wqOYn3rFt1SQ/xIj1tqCGCApKT+jvXuiaf7889Qgce50q6XlOK1aPZNZ/aSlntPNnBfa9YT4iS4PKt15pryHTwLy2+6SFw6aEB9HS5ARgG3//j+wCOljx/yTUlJOU28oPvY+7dnjIGCTJi2m5KRZ6jVkQsg7+iw7mBo18k+6AK94ji8Oqly7rrSwvOFaP3Foxx17rK4Ujq7eLLjMQAvepRWHn/gwnSUN31vp+9qQR37+S8wySJvGDS6XiPqO6O89pbFEgOJduxzWkQP630ZDhz7ok8HI79onYjf1oaK5XUAS9D179jAT9/POO48++OCDXgF76KGHCObtU6ZMYWby69evp6eeeopA2BGAbsCAAb3ef+zYMcKPtuD5V199NX3//fc0YcIEU18Y58ZxyICXCP74GIOZpbX1ODU07KD6+h1U37CdTpzYQ52drvNhhodnU2zMeIqJHU+xMRMpKmpInzm/q6uX06HDD7Bh5Ob+itJSf6oOCaQd5qLh4fpcw5WVX1Le0UeYf/jQoU9RQvxs9R6koINZKUxBQcrR5+rqZVRVvYyam492E1dISCwlJJxCSYkLKD4eQWAizRQpV9vexJqrY7KycAlIrIWL1DIN1jf8SGWlb1JV9dJum/GwsGyKj5tEMbETKDZmEkVGDuAiFg73pQNUXb2UtaGdC5ua8mnXbgSri6ecnF9SSr+uqNSWEU4AdCSQvm2sv460o0G6dbul5RgdOHgPNTcXUlbmbZSRcZ2KfEPDLtq771rHHiDnAUpL64qQXl+/na31ERG5lJlxE8XGene/xft61tZW0bZt39HQYYhtVERNjYepsekQNTVh79GVfsxVu8HBMWzfFBU5mCLZv0PY76Gh/TyyLuQdhzfrY59ZVv4OlZe/T+3tXSlrsY9LTv4JpaddQ1FRXSknMedhT1da9gYNHfIvCg3tSt/W2lpBwcFRhFhDZpdA+q7NlqVV2t++fTudeuqptGXLFsaxPC0BR9Brampo1qxZjDRDmP379+eW4bfffktnnnkmXXfddfTqq6/2ev8jjzxCv/+9Pi2XcsPf//53t7Xw3J22xA1tFBxcSCEheewnOOQIBQfXuexZZ2cEtbcPoI72gdTOfnAYEuVUv5OCg4soNGwLtbScTtTZFZwuNHQDRUTCp3MwNTddTp2dDqIeFFRBMbF/Yv9vbZ1CzU1XadrsoOCQPAoN3UGhoT9ScHBVt/51dMRSe9tYamsbT+3tQ4lITGwCS0AkOyElICVgSQkEBVVSWPhqCgtbT0FBTT32sbMz+uRcOYja2wdRRzvct/R+mUYHFxa+lCIiPmfVG0/cRu3tXTmYiZDPHe2GG21O1gsoCbQTBTVSEDVTZ2c/3cjDwlZQcHAZdXbGUUvL2bprMbG/Zu92W+t4amq6XnOthWLjHnKs2S0zqbm56yCe6ARFRf+bOjtSqLVtGrW3jbOgpKGRb6CgoBoKCqqloGDHv8H4PbjW8Td2rZ6CglzF9ukaVmdnOHV0pFNHRwZ1tGc4/u3IoM5OuNIFWXD83uhSM4WFbaSwcLxf+qDGbW2jqaVlAXW0g6i7lk9E5GsUGnKQ7SVbW+cTkT4wtDdGIZ9hXwkcOnSI4D4tCbobGMKH/KyzzqJNmzbRV199xVJZuFugUQfJLy4u7rWJQNag9yVbR57NY9TQsJ3qmaZ9O9PmuDbZCqLIyMHsFJxp2mMmsJNxV37n+w/cQXV1G1nAuQnjv6GQkC6LgcKiJyk6agQlJi6goCCiurofmIaquvp7ams73q3rYWHplJR4GqsfGzuxT81+X2P3xnV5QusNKVvjGRJra+DgjV7AKqik5BsqKFhOMbEl1NJyxGXATmiRoqNHU2zMBMe8GYsMG0mGutncXExVVd9Sbd16Gjb0SWZZpBTMn+Xl71B8/BwaOOB3urnVUOOykmEJ+PLbxhrd0VHPtNrh4em6dwBrZW3dRmpvq6WBA/+gs9w4ePAeqqldzTS3WHu1Zc/ea+nEiV0UGTmExox+V3ftx50XUEtLEcXGTqERw5/XXTtw8E4KCY6h+PhZlJJykWH5mVkR8oHWtrW1nFpaywka2NYW/Ov4Uf/WWmFIA+7cV+xdIiMHMk14ZNRgioocSlFRgyk8PIvLUsZMGVitbVhGVlVBQ/46s4DUlpjosZSefi0lJp7abQ934sRe2rPXoayJjZ1Mw4c9b6rVgS+/a6th5i/9kRp0N5FEkLcLLriA5UP/73//y8zbPSlIsfbZZ58R2uUtov0UeJ5vdb8XRB9F0DXmy14Lf/at1NZW63KIiLKqDT4XHzdOTflRXv4dlZR+TMFB4TRmzN91bSB9R1XVGior+4rKK5b2mO8zKqo/y1GOyO3x8eNttyBaHWue91bW7V0CEuvAekO0eMfEBDvmymqkxdzC5k+YCrsqSIvkSIk5lRITpxB82nmCa4KUrFu3gBqb8ikyIotmz16pux/+oO7mPw4sFI2NVtS3jTWvta2KQkNiCH66Sqmr28NSWSH39IABt+kypOTl/YcOHf4bqzpr5lKW21op+w/8kQoKXma/njJ/m67NXbvvp5KSjygoKJROO3Wv7v3Ytu0GOl65kr13s2fBbaOr5B19jsWTiYkeQhkZvnOpcBDvempuLj35U0bNLWXs/y3N+D/+XkYtLWU6/2djiOprhYUlUUR4GoVHpFFQUBIVFzfTqJELKS0Nbn79KThYWui5I1dgWFW9nvKPPs/eN21B3IH+uTdRZual6n4R+egLixbT0aPP0fhx/6HExKnqLUidh5gEcH0UVUR916L6I9vxXAKiuV1AmLi3tbUR8qF/+umn9Oabb9IVV1zhMRLjx4+nqqoqKigwFi1T+0DRIPIMxm6TAoK1NJw4pEvx5pwPUzt+bAgQRE4l7fGTyJF7NIhA/jFRl5d9RRXHv+8x6jwCpzBSnnY2xcaM4Nq48uDgjbp2w9obe2WNiAAAIABJREFUMvHXZ0is/RXZnsfVG97YTNbV7z5J2DezoJ295TlWDjmxIU1MmMLmz96iVKP9ouK32OEmDi6HDXWYHqOwTBhr51Ns3EjKzlpEqakLAwsYE0brjDVk3OWn3ZUuDym+8vNfYEQbQUq1skcgtS0//Iz1btSov1JW5mVqT8vKvqYfd/6c/T5h/Iu6IGsIpLZ332/ZtalTPqCEhInqfUfynqbDh59gFmqI/h8Vla1eKy39jOrqdrPsJbm5N+pIJjIV4P3y1SEODgBArtlPy0nCDSJ+koA7SDmId6NHaOIQBFYHCFTGfk7+Pzzi5N/Y76lOAe+qubIzeNTBALq5vn4fi/xeWvopiz2kFMx9CBSck321GjAPRD0kRO9KeTT/RRY8ePCgX7LMPDwHmq7ELNds/3sBRXM7vyfoHR0dtGjRInrnnXfo+eefp1tuuaXHtwKB4OA/kJCQQJmZmaxOQ0MDy32uzaGOv6MtkPzbbruN/vMffR5MI6+caBCNPFOp4w+TQktLJdXWbqNqFjH+hz41Rki/gZN/1EWKFOcSFzeORV6HpjwmZjCPOC1d1x+wtrSALdQ5ibWFwPBCV3jwdgSCy6eams1Mw455ENGgXRUQp/i4CZSQ6NCyJyRMcpkmEm1rN6uVVeto61ZHGjdsZgcNutML0vC/RxQXv0uNTYXscDk25icqaUtIiKNly0cyN7CszJ/SqFF/VgePQxhkNEFxjk6NDCsbNjj8vYcOfZgG9L9Zva+qagP9sHUR87cdM+YJykg/X73G8kiXfkJhoYmUmXmJLk0ZiC4KgmqJICyeooi1vbm5vEu7fZJoK9puh8a7lHBA4ElBthYEno1Qibbj/9CAKyQchBz1eAvPd83btqxP1NR0jKWwLCp6W6egQXDfzMzLWJq26Gh94Ge8L2vXnUatrVUEQj971nIhGXok1v73Rormdn5P0O+77z76xz/+wfzNb765a1FSXo0zzjiD0tPTKS8vjwYNGqQL/LZt2zY699xz6aKLLqJhw5CSIpzWrVtHS5YsYbnTN2zYwO7lLaJB5Hm+P04K0OjU1+9hG0+FtDc36yPn62UUxEw809LOptSUM3Un/zyytHpdf8Ta6jL3Vf8k1r6SvG+e6yne0LI65sstTNNeWwezeNfuWrAsglWSg7DDLL5/j6QMbR7Je4YqK1fTjOmfUUwMgmg6Snn5N5Rf8Ao7DM3IuMTSuZZFoYq1qaUFvsiVFB83Vtfsvv1/oOrqjRQaGk9TJi/RXQMhwKFKfNx4ysy8m7Zt20ITJkyk2Nh42r7jZmpvb6DEhGk0dNjDFISgV0HB1NnRSZu3OHyz09POp0GD7jrpluWwHssveJnCwhIoKXHGSU04THaDqKOjnblEoB8Oc+qgk/c5roO4O1KOKb+Lko6xdhwyrGAabqRZdWi/uzTeDpPzMkagPCk4mOrSeKczs3MQbabx1hByZG4x60DC0+/ak/EH0r0g3bAOKSh4lR3odJVgti8c0P8WZh2Egrny8OF/UlHx2zRkyAO6wy1PZCax9kR61rxXNLfze4KOkPcrVqxwieby5ctZWPyeCHpJSQmLyIegcggGBy07iPn5559Pv/nNbyglJcWtt0Q0iDydCJRJoampmPmvO/Ky/0AnGvMI/ukwXU9NWdhjfkweOdqhbqBgbQcszO6jxNpsCVurfdF4Q/tYV7eLEXaYQ2PObG3VR0LWSiA8PIUS4MOeMIVp2uNiR+typWMDrPVzxr07d93LTExBAOfOWcO0jv5Q6ur3Uk31ZkYaBw68Q6c53bX7Aebf7fDF3qOLY7J1241UWbmCpXQaOuRBwprV1FxMTU1FVFv7I8v3bc3iTNiV37XEHoTe8XsQImEH4RgB/2p+V0l/V92uQ4BgZorMDjdaELS178jmrmQF2YeHp2o03g4Tc73GO52l2zKLeBvFUfR3bfS5gVoPh5KwEMnPf7GbVVFi4gxG1Pv1O4W9x42NBew9CgnpSqWLuTLv6DM0ePB93Q7g+pKpxLovCdnvumhu5/cE3YoQiwaRZ4xyUuCRlr3rSqztjR9P7yXWPNKyf12z8XaYxecxsu4wi99CvcX+gIlofPwERtjhyw5tuzNB37PnYSot+4xiY0fR1Cn66N37DzxK4WH9mPYqOrorZ7G3kcKGHdpa9F3b/6qq9ZR39D+MMMKHW6sNR2CzQ4ceY12dOeNb5iYFP3EEEDt48G9UWvYJuwarARx6MCLeVNxjDBRvj9fezwsmHBQ5fLwdWu4u/+4uE3SYJTssAKxfzP6urS8B3/QQ893x498zP/Xq6g26TsB6qH/uzZSRcb4uXgDu+WHrVSfrBzHT96gopLU0ViTWxuRkp1qiuZ0k6D5AXzSIPEOQkwKPtOxdV2Jtb/x4ei+x5pGW/ev6Am9oMlWzeBYtfid1droyiw+i2JjhlHAy8BzM4iMjs1kMEBBXmMgrBcHNVq2ezjSmKf0W0IQJL5gGUHt7Ex0/voKZtULrr43UjLFt3nI5e/aokX+lrKyuQGrI9LFjx63s2rhxz1By0myVaJeWfc605CgxMSNY1hFo012nC3U9PJhZR0RkMV9v9hORRR0dCbRv3xEaOWoERUcheFUHgRw4/u2gTuog6uw8+W9Pv3cSqfVwHQpppR7+db6u/b23druei35Ay+3419Gvbr/r+tj3M6FxD49IYX7dTNutmpo7/h8W1s/vIpz74rs27WOzacOIuwCijiCY2m8YcQdyc6+n7KwrmXsO3EZ27rqbEfu01HNo3Lh/c41YYs0lLltUFs3tJEH3AeyiQeQZgpwUeKRl77oSa3vjx9N7iTWPtOxf1wp4I21XXd2PJ/3YoWn/ocd0lYq0EfDM4ccOs/ipFBszkhEsaOm377iN3Tt61GMs9ZFSoGmGr2ha2jlM8+5sggzCj41yeHhXNHOQ1z17H6bm5hL2vMGD7tYcBlTRylWO9ElIszRs2K/VaydOHKV16xc4rvW/hblCOczOj7FxlpcvVX2y3Y3wDW2ulnzj0EL5PSIyi8J70PZaAWv7fzH2GIHE2jo4IQYE4jYUF7+nS1uJGATZWT9jZB3fLuav8PB+Ossf+K0fyfs3Deh/q0t3Som1dbAW1RPR3E4SdFHIcLQjGkSOR5OcFHikZe+6Emt748fTe4k1j7TsX9eKeENrCjN4hw+7Iyd7Y+NRl8JGlOv4+Iks8BzM4zs6W1kAM2inlIKgcgcOPMp+nTjhZeYPqpRNmy9l2TwS4ifR1Knv656zctV0am09zurjPqWAvC9bPgqhnwg+punp5zES3txUzKKmI9go0iy54/OMdGORkRlM6+1MvB1/y+yWvsnIm2hFrI30W9bhl4DEml9mZt+BrEGFRW9SYeHrurgciG2A+QOHeXGxyKzQVQ4efIyO5j/HTOInT1rMDgqdi8TabOS8375obicJuvcxJNEg8gxBTgo80rJ3XYm1vfHj6b3Emkda9q9rF7ybWypYlHiFsNfVwSy+Kw+xHolgiosdRQmJk1mkeBD3/ft/T+UV37JAavPmbqKQkAj1li0/LGL+nyDDc2avZH/v7Gyn5pZy2rr1GmpurmAZOtCOEnwNZBwm6O6UsLAk1ewc2m5VEw4teEQW06KZ4etsF6zdkam8Ry8BibV13wi4xxwr+S8LKOd88JicPI8FlEtKms0O9zbj8LBuB0VG5tKsmd8QXFckQbcutqJ6JprbSYIuChmOdkSDyPFoqUHnEZbN68rF3uYAcnRfYs0hLD+oale8oZ2Gj6eDsDuixfeWlxr+2AgahwBg/fvfRFFROdTUXMI03kXIFd6YzzbECOjGNOHNJb0cALgGPigojCIjMikiMrMb8XYQcWi/+fNai3jV7Iq1iLEHWhsSa+sjjkPA8vLvmJ96be1WXYfj4sacdI85k8rLv2JzRmrqGWodWPAcO/YBpaefS3V1zSzDFFJAJyYmWn/gsod9SkA0t5MEvU+Ri68gGkSeHsoFgEda9q4rsbY3fjy9l1jzSMv+df0Fb5jFNzQcUPOxwyy+qalAOEChoYka4t0VgE3RgiN9khnabxED8ResRcjC39uQWNsHYZBtHDQezX+eKiqW6joeGZlD/XNvoMzMyyk0NEa9Vl7+De348Q5CwLkBA35PW39olATdPpD32VPR3E4S9D5FLr6CaBB5eigXAB5p2buuxNre+PH0XmLNIy371/VnvBEBnaV2q3b4sdfX72am664KfEERgM7h95150gdcMUHPpoiITN0m2W7o+zPWdsPC7P5KrM2WsDntNzQcpPz8l+hYyUe6zBahoQmUk30V5eReRxHhKfTDD1dRVfV6gsXOmNEf0Pr1B1WCfuDgX1gwOgTDRBA6bWlsLGKxORCgzjlQpjkjkq26IwHR3E4SdHdQ8PAe0SDydEcuADzSsnddibW98ePpvcSaR1r2rxtIeCNKe23tdqatammtpEiVjGcRfMEjmPY7xP6guhhBIGHttyAaHJjE2qCgLFqtubmMCgpfp6KiN3WxLuCDnpFxMWVnLaLjlSuovf0EpfS7RWfivmr1TGppKad+yfNp4sRX1BFCU7/8+5HMdQdtjBn9uHqtra2e9u//A4WFJbKAmMnJc9RrLKVlaxWFhSZSSEikRSXmX90Sze0kQffB+yEaRJ4hyAWAR1r2riuxtjd+PL2XWPNIy/51Jd72x9DoCCTWRiVl/3oSa/tjiBGAOBcfe48K8l9mASq7ShClpJzOAsoRDVUJekJCAq1YOZHa2+spI/1CGjPmCQ0Jr2PXUHJzb6Dhw36rXtOmhhw8+D4aNPAX6rWamm20eYsjZeXIkX/SaeVra3+k4uJ3KDQskbIyL9WliENMkI6OFoL2H2kwZTEuAdHcThJ047IXVlM0iDwdkwsAj7TsXVdibW/8eHovseaRlv3rSrztj6HREUisjUrK/vUk1vbHUDuCjo5WKiv7ggWUQwpHbYmJGU/HK8bRxIlnU79+gyg8PIVpyfGDoJdKgQVRQeGrhNzqSEOZmrpQvVZbt5M2bbqYiDpoxIj/o5zsReq1iorltH3Hzez3cWOfprS0s9VrCFS3e8+D7PfJk5ZQUtIM9drR/Bfp4ME/s99nzviGYmKGqNdKSz9jbkfIaDGg/226rBqtrVUEd6NANsMXze0kQffBfCAaRJ4hyAWAR1r2riuxtjd+PL2XWPNIy/51Jd72x9DoCCTWRiVl/3oSa/tj2NMIYKZeWbWG8o++QJVVq10OMiwsmbnsIGhleEQKy17h+H/qyb+nUUREqo4EI9AmtN7BwWG6TBMNDYeopPQTamutoezsRRQbO1x9bkHBa7T/wB/Y7zOmf0GxsSPUawcPPU5Hjz7Lfp87dwPznVfKnr2/Zpp3lNNO3afTsO/YcTtLiYkxzJ+3STfGvLxnqbWtmqKjBlF29hX+CTKR8BTakqD74FWRBN0HQg/AR8rFPnBAl1gHDtYYqcQ7cPCWWP//9s4Fxq6yWsCLzjC9pQUNrVYjRSnSqjxKEbCUCt6oVBMRI6BVDNBQAWtqjYYmgonFCEgxQovIw5pirLlWioaH4SGKBKE3hWpLG5BSXgJayvQCSlv7gpv1lxln2k5nrTn/2Xuvfb6dEGBmzb/X+r599jnr7H//G9etQ6D+lf7rX4+mZ6mvffF2Eel78cs9kRg06L9S467Nc8fgHU18auxTI6//rz9/m3TsPaLPaeo6jX3rtn/K3mkq+97du1u//n55+eUlqaEeO2Z2r2e4r1w1I80I0Cv8J56wvFeKy5ZNkVdefUiGDDlQJh53b6/fLfnfybJx4xrZb7/xcszRi2srOXdvR4NewqGSW6KnBN7sPbRix+I6tj9P9rj20Iofi+/4Dq0V4NpKKn4cruM7tFawbt1qWfrQIhkzZqS0tW2QLZvXyZYtnbJ5y0tpsTj9b53u3ti2V5qOPrhnE9/rivzb3vzdCNPUdJ0J8Prrm9IV+8GDR/ZK7YUX/kc2bHxS2tv2ldGjZ/b6XfcCeMP/W44cN7+xkir817l7Oxr0EmTnlugpgTcAD63YsbiO7c+TPa49tOLH4ju+Q2sFuLaSih+H6/gOrRX051qnrut93alpT837jsY9NfCb3/y3/v/mdWlxuUa3QYOGdF+FT1fk9Qp815X5HlfndQq7d/G4HdPw/ymvv7Gt15T5RnOu2t/n7u1o0EswnFuip4T+TgqesYitNgFcV9tPzuxwnZNm9cfCd/Ud5coQ17lIVn8cXFffUa4Mc7revn1Tj+Zdr8K/2dB3N/LrZMvmTtmyVa/KD2xa/X/q3ks6OobvuDe+48375Lvvkddp9m/fMfW+4+3S3j40F64Q4+Tu7WjQS9CeW6KnhJwnBc9+iS2eAK6LZ17WHnFdFvly9ovvcriXsVdcl0G9nH3iuhzuZey1DNc7rsr/n2ze0vnmlHq9At/jynzXVfrNL2W5Kt/Wts+O++E7tGnvvdidrkavz2+v05a7t6NBL+HoyC3RU0IZJwVPfsTmI4DrfCyrPhKuq24ob374zsuzyqPhusp28uaG67w8qzxa1V1v376xu3nfcW+8XoX/z9T6//x3Z3rMm3c7bsI9vZ6/7v37Ksbn7u1o0EuwnFuip4SqnxQ8tRC7ZwK4bp0jBNet41orxXfr+MY1rluHQOtUWpfXtU6Z36L3yqcr8et2uUe+Z1O/ffuGbsEnnrBC2tuH1Up47t6OBr2EwyO3RE8JdTkpeGpu1Vhct455XLeOaxp0XLcWgdaplvM4rutMYNu2Dd0r1L/1rUfXrtTcvR0NegmHSG6JnhJ4A/DQih2L69j+PNnj2kMrfiy+4zu0VoBrK6n4cbiO79BaAa6tpOLE5e7taNBLcJ9boqcETgoeWrFjcR3bnyd7XHtoxY/Fd3yH1gpwbSUVPw7X8R1aK8C1lVScuNy9HQ16Ce5zS/SUwEnBQyt2LK5j+/Nkj2sPrfix+I7v0FoBrq2k4sfhOr5DawW4tpKKE5e7t6NBL8F9bomeEjgpeGjFjsV1bH+e7HHtoRU/Ft/xHVorwLWVVPw4XMd3aK0A11ZSceJy93Y06CW4zy3RUwInBQ+t2LG4ju3Pkz2uPbTix+I7vkNrBbi2koofh+v4Dq0V4NpKKk5c7t6OBr0E97klekrgpOChFTsW17H9ebLHtYdW/Fh8x3dorQDXVlLx43Ad36G1AlxbScWJy93b0aCX4D63RE8JnBQ8tGLH4jq2P0/2uPbQih+L7/gOrRXg2koqfhyu4zu0VoBrK6k4cbl7Oxr0EtznlugpgZOCh1bsWFzH9ufJHtceWvFj8R3fobUCXFtJxY/DdXyH1gpwbSUVJy53b0eDXoL73BI9JXBS8NCKHYvr2P482ePaQyt+LL7jO7RWgGsrqfhxuI7v0FoBrq2k4sTl7u1o0Etwn1uipwROCh5asWNxHdufJ3tce2jFj8V3fIfWCnBtJRU/DtfxHVorwLWVVJy43L0dDXoJ7nNL9JTAScFDK3YsrmP782SPaw+t+LH4ju/QWgGuraTix+E6vkNrBbi2kooTl7u3o0EvwX1uiZ4SOCl4aMWOxXVsf57sce2hFT8W3/EdWivAtZVU/Dhcx3dorQDXVlJx4nL3djToJbjPLdFTAicFD63YsbiO7c+TPa49tOLH4ju+Q2sFuLaSih+H6/gOrRXg2koqTlzu3o4GvQT3uSV6SuCk4KEVOxbXsf15sse1h1b8WHzHd2itANdWUvHjcB3fobUCXFtJxYnL3dvRoJfgPrdETwmcFDy0YsfiOrY/T/a49tCKH4vv+A6tFeDaSip+HK7jO7RWgGsrqThxuXs7GvQS3OeW6CmBk4KHVuxYXMf258ke1x5a8WPxHd+htQJcW0nFj8N1fIfWCnBtJRUnLndvR4NegvvcEj0lcFLw0Iodi+vY/jzZ49pDK34svuM7tFaAayup+HG4ju/QWgGuraTixOXu7WjQS3CfW6KnBE4KHlqxY3Ed258ne1x7aMWPxXd8h9YKcG0lFT8O1/EdWivAtZVUnLjcvR0Negnuc0v0lMBJwUMrdiyuY/vzZI9rD634sfiO79BaAa6tpOLH4Tq+Q2sFuLaSihOXu7ejQS/BfW6JnhI4KXhoxY7FdWx/nuxx7aEVPxbf8R1aK8C1lVT8OFzHd2itANdWUnHicvd2NOgluM8t0VMCJwUPrdixuI7tz5M9rj204sfiO75DawW4tpKKH4fr+A6tFeDaSipOXO7ejga9BPe5JXpK4KTgoRU7Ftex/Xmyx7WHVvxYfMd3aK0A11ZS8eNwHd+htQJcW0nFicvd29Ggl+A+t0RPCZwUPLRix+I6tj9P9rj20Iofi+/4Dq0V4NpKKn4cruM7tFaAayupOHG5ezsa9BLc55boKYGTgodW7Fhcx/bnyR7XHlrxY/Ed36G1AlxbScWPw3V8h9YKcG0lFScud29Hg16C+9wSPSVwUvDQih2L69j+PNnj2kMrfiy+4zu0VoBrK6n4cbiO79BaAa6tpOLE5e7taNBLcJ9boqcETgoeWrFjcR3bnyd7XHtoxY/Fd3yH1gpwbSUVPw7X8R1aK8C1lVScuNy9HQ16Ce5zS/SUwEnBQyt2LK5j+/Nkj2sPrfix+I7v0FoBrq2k4sfhOr5DawW4tpKKE5e7t6NBL8F9bomeEjgpeGjFjsV1bH+e7HHtoRU/Ft/xHVorwLWVVPw4XMd3aK0A11ZSceJy93Y06CW4zy3RUwInBQ+t2LG4ju3Pkz2uPbTix+I7vkNrBbi2koofh+v4Dq0V4NpKKk5c7t6OBr0E97klekrgpOChFTsW17H9ebLHtYdW/Fh8x3dorQDXVlLx43Ad36G1AlxbScWJy93b0aCX4D63RE8JnBQ8tGLH4jq2P0/2uPbQih+L7/gOrRXg2koqfhyu4zu0VoBrK6k4cbl7Oxr0EtznlugpgZOCh1bsWFzH9ufJHtceWvFj8R3fobUCXFtJxY/DdXyH1gpwbSUVJy53b0eDXoL73BI9JXBS8NCKHYvr2P482ePaQyt+LL7jO7RWgGsrqfhxuI7v0FoBrq2k4sTl7u1o0Etwn1uipwROCh5asWNxHdufJ3tce2jFj8V3fIfWCnBtJRU/DtfxHVorwLWVVJy43L0dDXoJ7nNL9JTAScFDK3YsrmP782SPaw+t+LH4ju/QWgGuraTix+E6vkNrBbi2kooTl7u3o0EvwX1uiZ4SOCl4aMWOxXVsf57sce2hFT8W3/EdWivAtZVU/Dhcx3dorQDXVlJx4nL3djToJbjPLdFTAicFD63YsbiO7c+TPa49tOLH4ju+Q2sFuLaSih+H6/gOrRXg2koqTlzu3o4GvQT3uSV6SuCk4KEVOxbXsf15sse1h1b8WHzHd2itANdWUvHjcB3fobUCXFtJxYnL3dvRoJfgPrdETwmcFDy0YsfiOrY/T/a49tCKH4vv+A6tFeDaSip+HK7jO7RWgGsrqThxuXs7GvQS3OeW6CmBk4KHVuxYXMf258ke1x5a8WPxHd+htQJcW0nFj8N1fIfWCnBtJRUnLndvR4NegvvcEj0lcFLw0Iodi+vY/jzZ49pDK34svuM7tFaAayup+HG4ju/QWgGuraTixOXu7WjQS3CfW6KnBE4KHlqxY3Ed258ne1x7aMWPxXd8h9YKcG0lFT8O1/EdWivAtZVUnLjcvR0Negnuc0v0lMBJwUMrdiyuY/vzZI9rD634sfiO79BaAa6tpOLH4Tq+Q2sFuLaSihOXu7ejQS/BfW6JnhI4KXhoxY7FdWx/nuxx7aEVPxbf8R1aK8C1lVT8OFzHd2itANdWUnHicvd2NOgluM8t0VMCJwUPrdixuI7tz5M9rj204sfiO75DawW4tpKKH4fr+A6tFeDaSipOXO7eriUa9O3bt8sVV1wh8+fPl+eee05GjRol06ZNkwsuuEDa2tr6tb9q1SqZNWuW/OlPf0qxkyZNkjlz5shhhx3W79/uLiC3RE8SnBQ8tGLH4jq2P0/2uPbQih+L7/gOrRXg2koqfhyu4zu0VoBrK6k4cbl7u5Zo0KdPny7XXnutTJ06VSZOnCgPPvigLFiwQPTn11xzzR7tP/HEE3LMMcfI/vvvLzNmzEix8+bNE31xLV26VA455BD30ZNboicBTgoeWrFjcR3bnyd7XHtoxY/Fd3yH1gpwbSUVPw7X8R1aK8C1lVScuNy9Xe0b9JUrV8q4ceNScz137txu0zNnzpSrr75aVqxYIYcffnifR8Bpp50md955pzz22GPpyrtuehX+/e9/v3zyk5+Um266yX305JboSYCTgodW7Fhcx/bnyR7XHlrxY/Ed36G1AlxbScWPw3V8h9YKcG0lFScud29X+wb9oosukksvvVSeeuopOeigg7pNP/300zJ69Gi58MIL5ZJLLtntEfDaa6/J8OHDZcqUKfKzn/2sV8xZZ50lixYtks7OThk2bJjrCMot0bNzTgoeWrFjcR3bnyd7XHtoxY/Fd3yH1gpwbSUVPw7X8R1aK8C1lVScuNy9Xe0b9MmTJ6er5GvXrt3F8siRI2X8+PHpCvnutiVLlqQp8To9/vzzz+8Voj/TKfIaM2HCBNcRlFuiZ+ecFDy0YsfiOrY/T/a49tCKH4vv+A6tFeDaSip+HK7jO7RWgGsrqThxuXu72jfoOn29o6NDli1btovlo446SrZu3So6DX5328033yw6xf3WW2+Vk08+uVeI/uyUU06RxYsXy6mnntrnEfSPf/xD9J+e2/Lly+Wcc86RG264QcaMGVPo0bdhwwb561//Ku973/tk6NChhe6bnRVLANfF8i5zb7guk37x+8Z38czL2iOuyyJf/H5xXTzzsvaI67LIN2+/q1evlnPPPTctKH788cc3vKPaN+gHH3yw6JVyXRhu502vjq9bt07WrFmzW5A///nP5cwzz5S77rpLTjrppF4xd999t+jVeY350pe+1KeI2bNny8VnKygtAAAPBElEQVQXX9ywKAaAAAQgAAEIQAACEIAABCAAgWoSWLhwoZxxxhkNJ1f7Br2KV9BffvnltOicTq8fMmRIwxI9A+h+9QsFPYB0oTu2+hLAdX3d7lwZrlvHtVaK79bxjWtctw6B1qmU13X9XG/atEmeeeaZdPF2xIgRDRdY+wa9ivegN2ytgQFy3yPRQCr8aZMJ4LrJgCs0PK4rJKOAVPBdAOSK7ALXFRFRQBq4LgByRXaB64qIqHAatW/QdZX2yy67rCmruP/yl7+U9evXu1dxL/N44KRQJv1i943rYnmXuTdcl0m/+H3ju3jmZe0R12WRL36/uC6eeVl7xHVZ5OPst/YNuq7grlPJ+3oOui7YdsQRR6TF4p588kl5y1veIu985zu7DeoCcHoPui6sdsABB6Sfdz0HXa/O60JykTZOCpFsNZYrrhvjF+mvcR3JVuO54rtxhlFGwHUUU43nievGGUYZAddRTJWXZ+0bdEWrj0i7/vrrZerUqWllvQceeEAWLFgg5513nlx33XWJvt43oM9J1+eb33jjjd1GHn/8cTn22GPT89C/9rWvpZ/PmzcvXTlfunSpjB07tjx7A9gzJ4UBQAv6J7gOKm4AaeN6ANAC/wm+A8tzpo5rJ7DA4bgOLM+ZOq6dwFowvCUa9G3btsmcOXNk/vz58vzzz6cr4dOmTZNZs2ZJe3v7Hht0/eUjjzySYrWx123SpEly+eWXpyvv0TZ95Jt+WaFfTvScKRCtDvLtnwCu+2dUlwhc18WkrQ582zjVIQrXdbBoqwHXNk51iMJ1HSw2t4aWaNCbi5DRIQABCEAAAhCAAAQgAAEIQAACjROgQW+cISNAAAIQgAAEIAABCEAAAhCAAAQaJkCD3jBCBoAABCAAAQhAAAIQgAAEIAABCDROgAa9cYaMAAEIQAACEIAABCAAAQhAAAIQaJgADXrDCBkAAhCAAAQgAAEIQAACEIAABCDQOAEa9MYZMgIEIAABCEAAAhCAAAQgAAEIQKBhAjToDSNs7gAPP/ywLFy4UP7whz/I008/LUOHDpVDDz1UvvWtb8nHPvaxXjvfvn27XHHFFelxcs8995yMGjUqPU7uggsukLa2tu7Y1157TX7wgx/IsmXLRMdfu3btLs9/7zmwddzmkqj/6GW79uy//jaaX6GHt/U16H1t96xSzzEf/ehH04+eeOIJee9739t8CC2yh6q41kf7fPe735Xf/va38uKLL8rw4cPl2GOPTY/eHDlyZIvYaG6ZVXCt7//q+fe//72oc3V74oknykUXXSRjxoxpLoAWGr0Zrj1jKmrre0MLaWlKqR4vVieeMT2xTQHAoIUToEEvHLlvh6eddprcd999cuqpp8pRRx0l+gF8wYIFsmrVKvnxj38sX/nKV7oHnD59ulx77bUydepUmThxojz44IMpVn9+zTXXdMc988wzctBBB6XnoH/wgx+U22+/fY8NunVcX2VE70ygbNee/WOvcQIe3tbXoPe13VXFli1bZNy4cemLvQ0bNtCgN6631whVcK1fupxwwgkyZMgQOfvss+WAAw6Ql156SZYsWZK+2D3kkEMyV92aw5Xtev369XLYYYeJvqb184G+169ZsyZ9Nthrr71k5cqVyT1b4wSa4dozplZgfW9ovNrWHsHjxerEM6YntrVN1ad6GvSKu3zggQfk6KOPlsGDB3dnumnTJjnyyCPTh6t169ZJe3t7etPVD9gzZsyQuXPndsfOnDlTrr76almxYoUcfvjh6eebN2+Wzs5Oede73iXbtm2Tvffeu88G3TNuxVFWPr2yXVv3X3mQQRK08va8Bj2v7Z6YLrvsMrnqqqvki1/8Yvo3V9DzHkRlu37jjTfkQx/6ULrapl/4Dhs2LG+BjNZNoGzX+sX9V7/6Vbn11lvl5JNP7s7r5ptvFv2Qf+WVV8rXv/51jGUg0AzX1jE1fc97Q4ZyW3oIqxePE+uYCt4T29KialQ8DXpQmd/85jflhz/8ofztb39LU9l16tqll14qTz31VPrGvGvTafGjR4+WCy+8UC655JJdqu2vQR/ouEGxVjLtolz3VfzO+68kpBolVbTvZ599Vj7wgQ/Ij370I9H/vvjii2nQCzqeinLddfvCbbfdJp/61Kfk3//+twwaNEg6OjoKqpTdFOX6+9//froF7qGHHkpf7ndtOlNCZ9bp7QznnnsuQppIIJfrninu7n2Yz2dNlGgcuijXfD4zCqlRGA16UJlf+MIXZPHixfLKK6+k+9InT56crpLr/eQ7b3r/2fjx4+XOO+90N+gDHTco1kqmXZTrvorfef+VhFSjpIr2fcopp6SZOHpLjDbnNOjFHUxFuZ41a1aaxv7HP/4xfVmrrnW6s15V1y96jzvuuOKKbtE9FeVaG3NdV2DChAlprZn3vOc9aYr7N77xjXSLnP5+v/32a1ELxZSdy3XPbHf3Pszns2J87mkvRbnm81n5rovOgAa9aOIZ9vfYY4+lKe56JUSnremm09f1aogu/Lbzpveub926NU2H2nnr7wr6QMfNUCZDiEiRrncHfHf7R0zzCBTtW9ef0AZ96dKlaT2K2bNn06A3T2+vkYt0/ZnPfEZuueUWGTFihHz4wx8W/VD597//PS0ktnHjxuS/6xaogspvqd0U6VrB3nDDDemLGL0fvWvT9Qd+/etfp4UB2ZpHIKfrriz7eh/m81nzPFpGLtI1n88sRuoVQ4MezOerr76arnboyqx6xfzAAw9MFRx88MFppVa9MrLzptPa9AqZfovubdAHOm4wrJVMt2jXO0Poa/+VhFWDpIr2rWtZ6BMhPv7xj6dpr7rRoBdzIBXtWp/4oSt66yr999xzT3eR999/f1o47vTTT5df/epXxRTfYnsp2rXi/c1vfiPXXXddmlmnT2PQL+d1BoUuHnfXXXelWXds+Qnkdq0Z7ul9mM9n+R1aRyzaNZ/PrGbqE0eDHsilfqDWN1ydoqbT1fWxKV3bQL9J5Qp6NQ+AMlz3JLGn/VeTWOysyvD97W9/Oz0JYvXq1enKKg16McdQGa51sTCdLXHjjTemBUF7bjoFWnPSx66x5SVQhmu9Sv75z39e/vznP/eaFXH33Xenzw+XX3656C0PbHkJNMN1f+/DA/3cl7fy1hutDNd8Pmu944wGPYhzfWTKpz/96fQ8dH0D1untPbeB3ovUX4M+0HGDYK1kmmW57oLR3/4rCS1wUv3xHuhrcE+vbZ3erItH6mrO06ZN66Y3b9689NQHvdqqjZvGsOUjUIZrzf78889PsyTuuOMO+cQnPtGrIL1XWZs5zY0tH4GyXOsX9/qEl0cffXSXYvTec50xoV/WsOUj0AzX/Y2p2Q/0vSFf5a03Un9eBuKkvzF7UvbEtp6delVMgx7Ap37Q1sej6Aq8v/jFL2TKlCm7ZK33m+mjknKv4j7QcQNgrWSKZbpWIJb9VxJc0KQsvAf6GtxTg758+fK0cOSeNp0Gq4tKseUhUJZrzf6nP/1p+iLmJz/5Sa8vZPR3Xc/Efv755/MUyiim82gzXteKfuzYscnA448/3suEPmpv3333lUmTJu12wVi0DYxAM17XljE124EeQwOrlL+yePE6sYzZRd4Ti634BGjQK+7w9ddfT88mXrRoUVr45ctf/vJuM9b70fUDd1/PQdcP5EccccQuf9vfFfSBjltxrJVMr2zX1v1XEl7ApKy8B/oa3NNrW++f+93vfrcLNb0P+aabbkpX0bVx08XF2BonUKZrzb6zs1Pe/e53pynP+jzdtra2VJReSdXp7+ecc47Mnz+/8UIZQcp2rYs+6pf56rnn6vz61Bdda0AfzfW9730PUxkINMO1dUxNf6DvDRlKb7khrF48TqxjKmxPbMvJqWnBNOgVF6uPRrnyyivT/eY9p6J2pa0LPOnicLp1TWOcOnWqHH/88ekNesGCBXLeeeelBWN6bvrMY31Em77ov/Od76Tm/rOf/WwK0an0PZt5z7gVx1np9Mp27dl/pUEGSc7D2/Ma9Ly2d0bFInHNOXiq4Hru3LnplgZdxf1zn/ucvPDCC6K3NOhMCX36x6hRo5pTfIuNWrZrXSj2Ix/5iAwePFimT5+eFpDVReL0C/79999f/vKXv8g73vGOFrPSnHKb4dozpvdzX3MotMaoHi/W92vPmJ7Y1jBS/ypp0CvuWN9o77vvvj6zvPfee9ObsW56xWzOnDnpSohOV9QrYNrU64Iw7e3tvcbQ+0ufffbZ3Y6rTf3ZZ5/d/TvPuBXHWen0ynbt2X+lQQZJzsPb8xr0vLZp0Is5WKrieuHChem553p/8j777JNW8Ndbo1hrIN9xUAXXjzzySHqE3sMPP5wep6eNubrWK+c6k4ItD4FmuPaM6f3cl6fq1hzF48X6fu0Z0xPbmobqVzUNev2cUhEEIAABCEAAAhCAAAQgAAEIBCRAgx5QGilDAAIQgAAEIAABCEAAAhCAQP0I0KDXzykVQQACEIAABCAAAQhAAAIQgEBAAjToAaWRMgQgAAEIQAACEIAABCAAAQjUjwANev2cUhEEIAABCEAAAhCAAAQgAAEIBCRAgx5QGilDAAIQgAAEIAABCEAAAhCAQP0I0KDXzykVQQACEIAABCAAAQhAAAIQgEBAAjToAaWRMgQgAAEIQAACEIAABCAAAQjUjwANev2cUhEEIAABCEAAAhCAAAQgAAEIBCRAgx5QGilDAAIQgAAEIAABCEAAAhCAQP0I0KDXzykVQQACEIAABCAAAQhAAAIQgEBAAjToAaWRMgQgAAEIQAACEIAABCAAAQjUjwANev2cUhEEIAABCEAAAhCAAAQgAAEIBCRAgx5QGilDAAIQgAAEIAABCEAAAhCAQP0I0KDXzykVQQACEIAABCAAAQhAAAIQgEBAAjToAaWRMgQgAAEIQAACEIAABCAAAQjUjwANev2cUhEEIAABCEAAAhCAAAQgAAEIBCRAgx5QGilDAAIQgAAEIAABCEAAAhCAQP0I0KDXzykVQQACEIAABCAAAQhAAAIQgEBAAjToAaWRMgQgAAEIQAACEIAABCAAAQjUjwANev2cUhEEIAABCEAAAhCAAAQgAAEIBCRAgx5QGilDAAIQgAAEIAABCEAAAhCAQP0I/D9DR0c/gE4WSAAAAABJRU5ErkJggg==\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "10-01 nan nan nan nan nan\n",
+      "09-01 nan nan nan nan nan\n",
+      "08-01 -0.15001988018131868 319.45978386595056 -0.7170688015694224 0.0038963066486322018 0.0420951083765472\n",
+      "07-01 -0.17872428655164851 375.01963707575635 -0.6829164785636128 0.007106753886330816 0.0551878499255606\n",
+      "06-01 -0.17333427049340652 361.07878378370424 -0.7231879617659748 0.0034678657734677587 0.04778608357475558\n",
+      "05-01 -0.12424854492857149 258.7648129877144 -0.49854937466577 0.06959139622432392 0.0623651727343429\n",
+      "04-05 -0.0828933536274725 172.615472810834 -0.36783306054896114 0.1956900613468845 0.06049378585986412\n",
+      "03-01 -0.09213607507252744 188.6050000062516 -0.5914604063637009 0.025891585977324286 0.03626005035007019\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "def get_mm_dd(mm_dd,**kw):\n",
+    "    \"\"\"Get data for month_day for every year\n",
+    "        global used: DF with\n",
+    "    \"\"\"\n",
+    "    days=kw.get('days',3)# +5 days average\n",
+    "    year1 = kw.get('year1', 2010)\n",
+    "    year2 = kw.get('year2', 2023)\n",
+    "    delta=pd.Timedelta(str(days)+'d') \n",
+    "    L=[]\n",
+    "    for yr in range(year1,year2+1):\n",
+    "        ind=str(yr)+'-'+mm_dd\n",
+    "        t1=pd.to_datetime(ind)\n",
+    "        t2=pd.to_datetime(ind)+delta\n",
+    "        L.append((yr,DF_nsidc.Total.loc[t1:t2].mean(),DF_smos_v33.Total.loc[t1:t2].mean() ))\n",
+    "        #L.append((yr,DF_nsidc.Weddell.loc[t1:t2].mean(),DF_smos_v33.Weddell.loc[t1:t2].mean() ))\n",
+    "    return array(L).T\n",
+    "    \n",
+    "\n",
+    "mm_dd_L=['02-01','02-15','03-01','04-01','05-01','06-01','07-01','08-01','09-01','10-01']\n",
+    "mm_dd_L=['02-01','03-01','04-01','05-01','06-01','07-01','08-01','09-01','10-01']\n",
+    "mm_dd_L=['03-01','04-01','05-01']\n",
+    "mm_dd_L=['03-01','04-01','05-01','06-01','06-12']\n",
+    "mm_dd_L=['03-01','04-05','05-01','06-01','07-01','08-01','09-01','10-01']\n",
+    "\n",
+    "mm_dd_L.reverse()\n",
+    "figure(figsize=(8,6))\n",
+    "\n",
+    "for i,mm_dd in enumerate(mm_dd_L):\n",
+    "    xie,yie,yie2=get_mm_dd(mm_dd,days=1)\n",
+    "    c=cm.tab10(i/len(mm_dd_L))\n",
+    "    plot(xie,yie,c=c,ls=':')\n",
+    "    slope1, intercept1, r_value, p_value, std_err = stats.linregress(xie,yie)\n",
+    "    #if p_value<0.005:\n",
+    "    #    plot(xie,xie*slope1+intercept1,c=c,ls='-.')\n",
+    "    print(mm_dd,slope1, intercept1, r_value, p_value, std_err)\n",
+    "    \n",
+    "    lab=mm_dd[3:5]+'-'+calendar.month_abbr[int(mm_dd[0:2])]\n",
+    "    plot(xie,yie2,c=c,ls='-',label=lab)\n",
+    "\n",
+    "#legend()\n",
+    "ylabel('Extent [10⁶ km²]')\n",
+    "\n",
+    "plot(xie,-1*ones(len(yie2)),c='k',ls='-',label='SMOS')\n",
+    "plot(xie,-1*ones(len(yie)),c='k',ls=':',label='NSIDC')\n",
+    "#legend(fontsize=8,loc='lower right')\n",
+    "legend(fontsize=7,loc='upper right')\n",
+    "\n",
+    "#ylim([0,21])\n",
+    "ylim([0,22.0])\n",
+    "xlim([2009.5,2023.9])\n",
+    "\n",
+    "grid()\n",
+    "tight_layout()\n",
+    "savefig('Extent_nsidc_smos_v33_timeseries.pdf')\n",
+    "#savefig('Extent_nsidc_smos_v33_timeseries.png',dpi=300)\n",
+    "\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "d9d898f3",
+   "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('tabindex', '0');\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",
+       "            'z-index: 2;'\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(\n",
+       "        'style',\n",
+       "        'box-sizing: content-box;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: relative;' +\n",
+       "            'z-index: 0;'\n",
+       "    );\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;' +\n",
+       "            'left: 0;' +\n",
+       "            'pointer-events: none;' +\n",
+       "            'position: absolute;' +\n",
+       "            'top: 0;' +\n",
+       "            '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",
+       "            /* This rescales the canvas back to display pixels, so that it\n",
+       "             * appears correct on HiDPI screens. */\n",
+       "            canvas.style.width = width + 'px';\n",
+       "            canvas.style.height = height + 'px';\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",
+       "        /* User Agent sniffing is bad, but WebKit is busted:\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=144526\n",
+       "         * https://bugs.webkit.org/show_bug.cgi?id=181818\n",
+       "         * The worst that happens here is that they get an extra browser\n",
+       "         * selection when dragging, if this check fails to catch them.\n",
+       "         */\n",
+       "        var UA = navigator.userAgent;\n",
+       "        var isWebKit = /AppleWebKit/.test(UA) && !/Chrome/.test(UA);\n",
+       "        if(isWebKit) {\n",
+       "            return function (event) {\n",
+       "                /* This prevents the web browser from automatically changing to\n",
+       "                 * the text insertion cursor when the button is pressed. We\n",
+       "                 * want to control all of the cursor setting manually through\n",
+       "                 * the 'cursor' event from matplotlib */\n",
+       "                event.preventDefault()\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        } else {\n",
+       "            return function (event) {\n",
+       "                return fig.mouse_event(event, name);\n",
+       "            };\n",
+       "        }\n",
+       "    }\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousedown',\n",
+       "        on_mouse_event_closure('button_press')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseup',\n",
+       "        on_mouse_event_closure('button_release')\n",
+       "    );\n",
+       "    canvas_div.addEventListener(\n",
+       "        'dblclick',\n",
+       "        on_mouse_event_closure('dblclick')\n",
+       "    );\n",
+       "    // Throttle sequential mouse events to 1 every 20ms.\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mousemove',\n",
+       "        on_mouse_event_closure('motion_notify')\n",
+       "    );\n",
+       "\n",
+       "    canvas_div.addEventListener(\n",
+       "        'mouseenter',\n",
+       "        on_mouse_event_closure('figure_enter')\n",
+       "    );\n",
+       "    canvas_div.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",
+       "    canvas_div.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.canvas_div.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",
+       "\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",
+       "    if (name === 'button_press') {\n",
+       "        this.canvas.focus();\n",
+       "        this.canvas_div.focus();\n",
+       "    }\n",
+       "\n",
+       "    // from https://stackoverflow.com/q/1114465\n",
+       "    var boundingRect = this.canvas.getBoundingClientRect();\n",
+       "    var x = (event.clientX - boundingRect.left) * this.ratio;\n",
+       "    var y = (event.clientY - boundingRect.top) * 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",
+       "    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 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c1aOqUmD7hgpmEg8AnZ+iFMI+whQd/vY29kydbeTvj1tU3N7uNvdqp2606Dbpz4Nun3spWUadHv5+9Q6DbpP2HiRxQTs/BC3uGsMfxsC1D0whwd1DzzdqXngaS49tlN3GnT7xhwN+u3ZL1y4EHfeeSfOnz+f5HFoKVGPBj0l9Gy6lgbdJvBs9rYE7PwQpzT2EaDu9rG3s2Xqbid9e9qm5vZwt7tVO3U32aB3794d3333HQYPHox+/frFyfjbb7/h/vvvhxxjFlu+/vprjBw5Us2aypnjcrzWQw89hFdffVVVGTBgAOS6DRs2xP3/wIED1X/L0XOyy3358uXRvn17PPXUU/85mkvivvfee/jrr79w+vRp5M+fH3Xr1sVLL72EmjVrJjrEZAf9119/HfPnz1fn0GfLlg1VqlRRudSrV8+yYTlu3Dj07dtXfTFkVSlatKhqQ/7xtdCg+0rOxdfRoLtYXIO7ZueHuMHYjE+duhsvoU8doO4+YTP6ImputHw+J2+n7qYb9ClTpiA0NBSyG70YXCkJDfqYMWPQp08fDB8+HI0bN8aNGzewadMmbNu2De+8806SBv2nn37C3LlzERUVhbNnz0IM47vvvouCBQuq/86UKZO6du3atWjatCkqVqyoDHfZsmUhx3hNmzZNme9FixYlOjYaNGigcpEvGEqVKqVM+rx581C5cmW0bt3a5/GU3IU06DGEOIOe3Ehx4O9p0B0oClOydRkc8dtHwM4/3uzrNVum7oE3Bqh54GkuPbZTd9MNuhhn6cO9996Ljz76KFGD3q5dO2Xev/322yQHWGIz6PFn1GMv3LFjh5rl/t///qfMuszSV6pUSX1JsHr1agQFBd3Shmgrs+8Ji/xccpo+fTpatGiR5Dnocka9tCW5hIWFqdn4zz77TOUgZe/evXjxxRexcuVKXL16FeXKlVOGv1mzZkn2NTGD/vvvv2PQoEHYsmWLOhu8UaNG+OWXX1SMmzdv4s0338TEiRPVWJUvIj788EM0adIkyTYSzqCnSpUKo0aNwowZMzB79mwUKFAAn376Ke677764GH/++aeacT98+LBaffDoo4/iscceu2WJ+/Lly9VqiTVr1iBnzpxqpYT0N0OGDBg/fjyefvpprF+/Xn3hIeW5555T7cnPpE78QoNu4POWBt1A0QIgZTs/xAMAr2O7SN0dK42liVF3S/E6Mjg1d6Qslidlp+6mG3RhJ0bu4Ycfxu7du9XsdsIZ9N69e6tZ7FmzZqFIkSKJ6umpQZeLxfDLGdoyAy/Gr3r16pg0aRI6d+7s8ViR98/FoD/yyCP4+OOP/2MeJZCY/4YNGyJ79ux4++23kSVLFshSfTHY0r78fOPGjcqc33HHHepLAlnyL8Z3586dKFy4cKL5JDToYprbtm2LN954Qy37F0MuP5PVAFK6dOmCAwcO4IMPPlBL93/99Vdl2Ddv3hxnhBM2lJhBF23kS5RatWrh888/x9ixY3Hw4EHVDzHlYqpFK3mFQFYlyOsBsqog9h10aU/6KaseZIWBvErw7LPPqi8rYr986dixo8pVjLysfpAvAJYtW6baTFho0D0ers6pSIPuHC2Yyb8E7PwQpw72EaDu9rG3s2Xqbid9e9qm5vZwt7tVO3W/nUmZuOogJq8+lCI8XzxcHUVy/DtzOXjmdizbcwbp04Rg6pO3vmc9a8sJtKyY1+P25B10YSeGXN7ZlnfEZTl7QoN+/Phx9e64GNnSpUuruvfccw8efPDBuBlvbwy6zODKcvlr165h6tSp6NSpE8Q3VKtWzePcpaJc++STT6qZcTH5svxeDLIscZciy+NlhvjUqVO3vPMuZ9a/8soreOKJJxJtr0KFCsrkinlNrCQ06GJ6ixcvjgkTJvynuszQi3E+cuSIMuexRWboa9eujffffz/RNhIz6GLqY18pkNl+eUVAZs1btmypvgwQ3bZu3QqZbZcinGWmPtagd+vWDenSpVNfUsSWpUuXKm4ST76gkLrCT1ZUyAoAmUGXLx4SKzToXg1XZ1SmQXeGDsziVgJ2fohTC/sIUHf72NvZMnW3k749bVNze7jb3aqdut/OpHz21y4Mm7c7RXjmvNAIpfPEvKst5emJ6/Dn5hPIFBqCzQNa3BJbvgzoXDvxWd/Ekohv0BcvXoy77rpLvVsus8sJN4mT62X5tsyky+yqmDeZnZZZdVmW7o1Bl43lRowYoUyhvAMvplpm0qtWreoVK5lFP3PmjNqYTpbHSy7y79GjR0P6JjPrYlLFlMYv169fx8svv6zMq+Qgm9nJUnnZdE5iyu9l9jl2yX/CpBIa9PTp0+OLL75Qy8kTlh9//BEyK51webi8Oy9fekj/EyuJGXT5QqJDhw5x1WVFgMyki/EWvWRFgcyqxxZ5h19WK8QadPniIXaTv9g6sspAviiR1QyyvF/KnDlz1GsD8sWDjAvZ5C+xQoPu1XB1RmUadGfowCxuJWDnhzi1sI8AdbePvZ0tU3c76dvTNjW3h7vdrdqpu1tm0EVDWfYsO7SLuU3MoMfXWWZexaDLLLUc5eWNQZdl07IpnRh+X5e4Sy6JHbPWs2dPtRO8LP0WAy4GVjakS1jkvXZ5B1veuZZ3rD/55BPIzLqYeVkZIO+HDx06NNGhndCg58iRQ12fmEEXAy5L3GVmO6HRlXfV8+ZNfMVDYgZdlsaL4Y4t0gfJUfSSn8tS99sZdDHgzZs3Vxv+JSyynD9NmjTqxzJTL8vxCxUqpF4ByJw5Mw263Q85Xe3ToOsiyTg6Cdj5Ia6zH4zlHQHq7h0vt9Sm7m5R0vN+UHPPWbmppp26u+EddFkaLUXeUZZZbJk9ltnn+MesJRwv586dgxjTP/74A23atPHYoMsmcbKE+rXXXlMz19KGbJomxtibTeKSMuhDhgxRy8ZlZl2MeqtWrdSssRjexIpsUCcz3G+99Zb69ZUrV9R7+GJ6PTXo8gWFbNqW2BJ3WY1QpkwZNRMtX2h4Wrw16LFL3GUmPLYIYzHasTPo8kXBiRMn1E73SRVZHSFfTsjsu6w+kPEg7+UnVjiD7qmaDqpHg+4gMZhKHAE7P8Qpg30EqLt97O1smbrbSd+etqm5PdztbtVO3d1k0EVHWS4ty7Llve5Ygy7vY8v707IEXsyrvJMuO7CLod6+fbsy6onNoCd1zJpsNCcz7zKDLEXiyDvZYtxjj1kToyzmX5ZbJ3bMmuw+LzPdsjxeNjCT5d2yMZq8My0rAeRdeslfdlOXI9tkNl2Msixjl/e2ZcZZdnSXlQKyKZpskibvbotRlxn3xx9/3GODLvXlmDiZeZZ8ZGZ/5syZ6j13KV27dlUbrcnmc/KevXx5IP2XLwfkXf7EircG/dChQ+pd92eeeUa9l79u3Tr1RYsY8liDLq8vyO7uMtPfq1cvtexe9JMvMmSlgXASQy5sJFeZ9RdGsrt7/KX1sfnSoNv95POhfRp0H6DxEssJ2Pkhbnnn2ECSBKh7YA4O6h54ulPzwNNcemyn7m4z6LI0XIysvCMda9B//vlntXRalqOLMZal4bJRXP/+/ZXJlJKYQZcZcimytFvel5ZN6B544AG1AVvatGlvGawy0/zee++pncPFwObLl0+9Ay1HpCW2eZzkJzuzy/J0Mdjh4eFqSbYYSTH5se+di+mUTc6kD7JruSwpF9MuR4tJfblWzLhsgCf9kvfj5QsKMaqezqBLR+SdfNnATWawZUm4tCFtSpHc5AsNMbpHjx5VX2gIP+ETyy/hneutQZfr5T36F154Qe3oLhvQiRGXvsUadKkjx6sJjxUrVih9S5QooTbpE2ZSV77kkDqx+shmfpKnmHtZJRC/0KAb+LylQTdQtABI2c4P8QDA69guUnfHSmNpYtTdUryODE7NHSmL5UnZqbvJBt1yYSxuILF30C1ukuHjEaBBN3A40KAbKFoApGznh3gA4HVsF6m7Y6WxNDHqbileRwan5o6UxfKk7NSdBt1yeZNsgAbdPvbSMg26vfx9ap0G3SdsvMhiAnZ+iFvcNYa/DQHqHpjDg7oHnu7UPPA0lx7bqTsNun1jjgbdPvY06Pay97l1GnSf0fFCCwnY+SFuYbcYOhkC1D0whwh1DzzdqXngaU6DHpiaS69p0O3VnjPo9vL3qXUadJ+w8SKLCfCPN4sBOzQ8dXeoMBamJZvfrN97HHs3rUHzuxpDzotlcT8B3uvu1zixHtqpO2fQ7RtzNOj2secMur3sfW6dBt1ndLzQQgJ2fohb2C2G5gw6x0A8AntOXUH/37dg2Z6zyJ8+GjOeq6+O4GFxPwE+492vMQ16YGqcWK9p0O0dC5xBt5e/T63ToPuEjRdZTIB/vFkM2KHhqbtDhdGc1rWbEfh8/h6MXrIP4ZHRcdF/61UNVUvk19wawzmRAO91J6pifU526s4ZdOv1TaoFGnT72EvLNOj28vepdRp0n7DxIosJ2PkhbnHXGP42BKi7u4eHLGefvfUk3pm+DUcvXP9PZwfeUxKPNirjbgjsnSLAez0wB4KdutOg2zfmaNDtY0+Dbi97n1unQfcZHS+0kICdH+IWdouhkyFA3d07RA6cuYoBf2zFwp2n4zpZIGs6vNC8NF7+caP6WfsqeTCkc033QmDP4gjwXg/MwWCn7jTo9o05GnT72NOg28ve59Zp0H1GxwstJGDnh7iF3WJoGvSAGwNh4ZEYuXAvvlq0FzcjolT/UwenwhONiuPZO0shXZpgNP5oHg6eC0PJXOkx96U7A45RIHaYz/hAVN3elRM06PaNORp0+9jToNvL3ufWadB9RscLLSTAP94shOvg0NTdweL4kNr8HScx4PdtOHTuWtzVDUvlxMD7KqB4roxxP+szcQ1+33wKqQBsHHA3Moem9qE1XmISAd7rJqmlL1c7dadB16ejt5Fo0L0lprc+30HXy9Mv0WjQ/YKZjXhJwM4PcS9TZXWNBKi7Rpg2hjp87hoGTd+Gv7adjMsib+ZQvNWmPO6plBepUokV/7eMXrgD787aq37wfY/aaFgql43Zs2l/EOC97g/KzmvDTt1NNuinTp3CW2+9hZkzZ+LkyZPqtIsqVapgwIABqFevnhK6aNGiOHjwICZPnoyHHnroFvErVKiAbdu24dtvv0X37t3jfrd8+XK8++67WLFiBa5fv45SpUqp3/ft2xfBwcFx9RYsWIBBgwZh48aNCAsLQ4ECBXDHHXdgzJgxCAkJSXSgxeaT8JeDBw9Gv379PBqc8lnx66+/ol27dh7V97TSwoULceedd+L8+fMBcbQnDbqnI8NB9WjQHSQGU4kjYOeHOGWwjwB1t4+9jpZvRERi1OJ9GLFgD8LCY5azhwSlwuMNiqFP01LImDbxP+TW7DqKDmM3qPp9m5VC32aldaTDGA4mwHvdweJYmJqdupts0Bs2bIjw8HCIuS1evLgy6fPmzUPlypXRunXrOIMeFRWFcuXKYfbs2XEqrly5UtW5ceMGRowYEWfQxfh27NgRjz32GJ5++mllVOfOnYtXXnkFTZs2xdSpU9WXqVu3bkWNGjXQp08fdOvWDenSpcPu3bvx008/YeTIkUiTJk2SBr1Hjx7o1asXZAb96tWryJAhg/pyQf7tSaFB94RS8nVo0JNn5LgaNOiOk4QJcYffgB0Ddv7xFrDQNXV8ye7T6D9tK/aduRoXsU6x7HinXUWUzpPptq2cPXced3y6DDciU6FR6VwY/3htTVkxjFMJ8F53qjLW5mWn7qYadGEmplZmfRs3bpykQDJj3blzZ3z22WfKQBcqVEjVfeKJJxAaGorx48dj6NChyqCLWS5SpIiK9/PPP98S848//sB9992HH374AZ06dVLXDBs2DPv37/dqcEg+MhMv/yS2xF1m5L/66its3rwZOXLkULGlXemv9FW+iJAVAbFF8j1w4ID6X8lRVg/Ilwf58+fHo48+ijfeeCNuNl+M/ahRozBjxgz1ZYXM+H/66acqvsQoVqzYLX2R68eNG+dV/0yqTINuklr/5EqDbqBoAZCynR/iAYDXsV2k7o5Uv6HWAAAgAElEQVSVJsnEjl+8jnenb8eMzcfj6uTMmBZvti6HtlXz/2c5e2KBRPdOXy7BzotByBQago1v342goFuXwZtHhhnfjgDv9cAcH3bqbqpBF3MrBr1nz5744IMPkDZt2kQHT6whluXotWrVwptvvolr164hX758WLRoEZo0aRJn0GX2vH379pAl7rFL5OMHLVOmjJqJ/+2335RRF1M/Z84cNGrUyOOBm5xBj4yMhKwMyJMnj1rGLmZdlr7LMnox46dPn0bu3LnVsvyWLVuqJfe5cuVShltm/ocPH66u37t3r/oSQnLs37+/yk8MesGCBfHRRx8pFp9//jnGjh2rDH+WLFkwbdo0PPDAA9i5cycyZ86sVgXIz91aaNANVJYG3UDRAiBlOz/EAwCvY7tI3R0rzX8SC4+MwrfL9mPo3N24djNS/V48dbd6RfHi3aW92uhNdH91whLMPhKk4sx5oVGys+7mkGKmSX0pI6ZBZvBkaS1LYBCw8xmflEl5/of12Hv6it8FKJErI4Y9VM2jdmWWW5aKy3vi1atXV/eNvGcuS9xjS6whltnhl156Sc2if//998qUy9/6cp/FzqB/+OGHygwn9Q5227Zt1fXy3roYaflyQGaY8+bNi7p166ol8LLcXcxtUkXyOX78OFKnvnXTz+nTp6svC6Ts27cPVatWVUvsxUR/88036NKlS1zIxJa4y5cErVq1wmuvvRZXb8KECWpp/rFjx+IMunxB8c4776j/lxUDmTJlwp9//qnMPt9B/1c13T4wVXR0dLRHo5qVbktAtzBW4LbzgW5FfxgzeQLUPHlGbqxB3c1QdeW+s3h72hbsOvnvH7XVC2dVy9kr5Pd+FkJ0/+q3xfhqR8ymRB+0r4SHahc2Awaz9IkA73WfsBl/kZ26J2XQ23y+BFuOXvI724oFMmP6cw09blc2Z1uyZIna0G3WrFlYvXo1Ro8eHfdOeaxBf/bZZ9Xs8ZQpU9SM8oMPPgj5WWIG/dy5c2p2PmGRpeAyMy1LyGPL0aNHMX/+fMg77b/88otaTi45yAx9YkXy6dq1q8pPVgHIbH769OnV7LjMWMcWMeVPPvmkWk4vs/XxS2IGXd5fl3ft429iJ18iCB8x4tKGXCfv0Hfo0CEunMyQy5cA8sUCDToNusc3nl0VadDtIs92b0fAzg9xKmMfAepuH3tPWj51OQzvz9iO3zbEzFJIyZ4hDfq1LIsHaxT0eVm66D5z3iK8tiZmE7mONQviowereJIS6xhKgPe6ocKlMG07dTd5Bj0x7DKr/ddff8W9px1/Sfn//vc/rFmzBqtWrVKzymLC4xv02CXuy5YtU7uxJyylS5dG+fLl1RL3xIrMvEsdmfkeOHBgonWSW+Iee5GYeDHmNWvWxNKlS2/ZFT4xgy7mXtqUJfoJi7y3HhQUpAx6wt3f4/efBp0GPYWPMusvp0G3njFb8J6AnR/i3mfLK3QRoO66SOqNExEZhe9XHsSQObtw+UaECi4npT1cuzD+16IMsqZPfBdfT7OI1X3Y7kzYd+Y6SuTKgHkvxSyBZHEnAd7r7tQ1uV7Zqbup76AnxXTIkCF4//33cebMGVUlviHevn27MtjxZ6XjG1SZaS5cuLBaap5wk7jff/8dssQ9dpO4pNqX5fV33303PvnkE58Nuszyyy7y8n675CpfOsQ3/LJDvBwbJ++Lx5b69eujbNmy6oi3pEpyBl3evZc4wi52g7rkxq7Jv+c76AaqR4NuoGgBkLKdH+IBgNexXaTuzpNm3cHzeOu3Ldh2/N8loJULZsE7bSuiSiE97w7H6r7wan78uumUgrDh7eYpNv7Oo8mMYgnwXg/MsWCn7qYa9LNnz6ql2o8//rh651zepV67di2ee+45dXxarFGNb9BldMl1stw7djl5fIMuv5dj0uQ9dokrS+DlfXI5uk1m3+Mfs/b1119jw4YNuP/++1GiRAm1lFx2hBdjLkvek9pZXvJJ7Jg1aUf+OXLkiOqPGHLpi6wGkP4sXrxYvecuRWbpmzVrhrffflttjicrAWSTuDZt2qhd24WLzJhv2rRJ7QYvZ7pLSc6gy3J92eVeNqC75557FKOMGTO69qakQTdQWhp0A0ULgJTt/BAPALyO7SJ1d440Z6/cwIezdmDq2iNxSWVJl1rNmHeuXRjBGndZj9X9fNayGDBzj2rv28dq4c4yuZ0DhJloJcB7XStOY4LZqbupBl3OL5cjxWSWWd4Ll/PQxVyKOX399dfjDHhCg55wUCQ06PJ7eaddZuHlvXbZgK5kyZLKsMvRaLHveK9fvx4yWy/L4WW5vBjZChUq4OWXX8a9996b5NiTfOIfkxZbUd43//LLL9G8eXO1nH3mzJlxp328+OKLkBl8+UJA2pHj1ORncjSaHJUWe8yamHQ5pk1yk03oZEZdZt9lIz1PDLrUkQ3k5Bx3OVNe3kvnMWvr1AaEKS3cJC6lBP+5ngZdE0iG0UrAzg9xrR1hMK8IUHevcFlSOTIqGpNXH8LHs3fi4vXwuDY61CiIfq3KIkfGxI/4SUkysboXqlAL7UevV6H63FUSL95dJiVhea2DCfBed7A4FqZmp+6mGnQL5fBb6MTOQfdb42wInEE3cBDQoBsoWgCkbOeHeADgdWwXqbu90mw6cgFv/rYFm45cjEukXL7MeKdtBdQsmt2y5GJ1b9ioEZoMW41LYRGoXzIHJvaMWebI4j4CvNfdp6knPbJTdxp0TxSypg4NujVcPY1Kg+4pKQfVo0F3kBhMJY6AnR/ilME+AtTdHvYXrt1UM+aTVh9C7AGmmdKGqPPMH6lbBCHBMeeTW1Xi6/78L7uwaNdpZEgTjE0DWmhdSm9V/ozrPQHe694zc8MVdupOg27fCKJBt4+9tEyDbi9/n1qnQfcJGy+ymICdH+IWd43hb0OAuvt3eERFReOnv4/gg5k7cO7qzbjG21XNj9fvKYfcmUP9klB83cevO40hf+1S7c58viFkBp/FfQR4r7tPU096ZKfuNOieKGRNHRp0a7h6GpUG3VNSDqpHg+4gMZhKHAE7P8Qpg30EqLv/2G89dhFvT9sK2aU9tpTKnRGD2lZEvRI5/JcIgPi6bzkdga5jVqn2321XEV3rFvFrLmzMPwR4r/uHs9NasVN3GnT7RgMNun3spWUadHv5+9Q6DbpP2HiRxQTs/BC3uGsMfxsC1N364XEpLFydZz5+xQFERce0lz5NMJ5vWgqPNyiG1BYvZ0+sh/F1Dw7NgMoD56il9u2rF8CQjlWth8IW/E6A97rfkTuiQTt137dvn9oBXY7ukmO4WPxHgAbdf6wTa2nXrl1qx/zixYv/59e6fSB3cdektW5hNKV1Sxg7H+hW9IcxkydAzZNn5MYa1N06VaOjozFtwzG89+d2nL58I66h1pXy4c025ZAvSzrrGk8mckLdWw5djB0nLqNYzgxY8HIT2/Jiw9YR4L1uHVsnR7ZTdzki7OLFi5DjxvLmzUuT7seBQoPuR9gJmrp8+bI6c16OrZPj+RIW3T6QBl2T1rqF0ZQWDboVIA2KaeeHuEGYXJcqdbdG0t0nL+OtaVuwct+5uAbE/A68rwIalc5lTaNeRE2o++u/bsakVYdUhHVvNrPkaDcv0mNVCwjwXrcAqgEh7dQ9MjIShw4dQlhYGIKCguLO+TYAm/EpyhfEYtJlFperF/wrp6waEebFihVD2rT/PSZVtw+kQdekr25hNKVFg24FSINi2vkhbhAm16VK3fVKevVGBIbP240xS/cj4p/17KGpg/DsnSXRq1FxpA0J1tugj9ES6v7TuiN4+ceNKtrobjXRrHweHyPzMqcS4L3uVGWszctu3cWknzx5Upn0qKgoazvL6HEExCSePXsWOXLkQOrUqUnGjwTkSxFZNSL/JFZ0+0AadE3i6hZGU1o06FaANCim3R/iBqFyVarUXY+cMlvx5+YTeGf6Npy4FBYXtFm5POh/b3kUyp5eT0OaoiTUff+Zq7jzk4Uq+tNNSuCVlmU1tcQwTiHAe90pSvg3D+ruX95OaY26O0WJ/+ah2wfSoGvSWrcwmtKiQbcCpEEx+TA3SCyNqVL3lMPcd/oK+v++FUt2n4kLVih7Ogy4twKalnPmTHRC3eULhhrvzlVHv9Utnh0/PFEv5WAYwVEEeK87Sg6/JUPd/YbaUQ1Rd0fJcUsyun0gDbomrXULoyktGnQrQBoUkw9zg8TSmCp19x3m9ZuR+GLBHnyzeB9uRsYs3UwTEoTejUuoWejQ1M5Yzp5YDxPTvce4NZi34xTSpQ7G5gF3I8SG3eV9V4NXJkeA93pyhNz5e+ruTl2T6xV1T46Qfb/X7QNp0DVpqVsYTWnRoFsB0qCYfJgbJJbGVKm79zBltvmvbScx8I9tOHrhelyAxqVzqU3giubM4H1QP1+RmO7yZcPHs3eqTKY/1wAVC2Txc1ZszkoCvNetpOvc2NTdudpYmRl1t5JuymLr9oE06CnTI+5q3cJoSosG3QqQBsXkw9wgsTSmSt29g3no7DUM+GMr5u84FXdh/iyhePve8mhRwZxjhBLTfcXes+g8aqXq16C2FdCtXlHv4LC2ownwXne0PJYlR90tQ+vowNTdufLo9oE06Jq01i2MprRo0K0AaVBMPswNEktjqtTdM5hh4ZH4etE+jFy4BzciYpazhwSlQs+GxdGnaUmkTxPiWSCH1EpM92s3I1BpwBxERkWjbdX8GPZQNYdkyzR0EOC9roOieTGou3ma6ciYuuugaE0M3T7QaIN+/PhxDBo0CDNmzFDHPcixA7Vr18bXX3+NPHluv4nPxIkT8fnnn2Pnzp2QpY0lS5bEE088gZ49e6pzHb0tuoXxtn1P6vPG9oSSu+pQc3fp6WlvqHvypBbuPKU2gTt49lpc5TtK5FCzzCVzZ0o+gANrJKV76+FLsPXYJcgmd0teucuBmTMlXwnwXveVnNnXUXez9fM1e+ruKznrr9PtA4016Lt370ajRo2QLl06dO/eHQULFsTp06exYsUKfPzxxyhVqlSSarz33nt488030aJFC9x3333KoP/8889YsGABXnrpJXzyySdeK6lbGK8T8OAC3tgeQHJZFWruMkE97A51TxqUvF/+zh/bMGvribhKuTOlxZttyuPeyvmQKlUqDyk7r1pSur89bQvGrzioEl79RlPkzhTqvOSZkU8EeK/7hM34i6i78RL61AHq7hM2v1yk2wcaadDFUNepUweRkZFYtGgRMmbM6BX83Llzo0iRIli9enXcH2NRUVGoXr06Dhw4ALkBvC26hfG2fU/q88b2hJK76lBzd+npaW+o+39J3YyIwuil+/D5vD24Hh6pKgQHpUL3O4qib7NSyBSa2lO8jq2XlO6/rT+KvlM2qLy/6loDLSvmdWwfmJh3BHive8fLLbWpu1uU9K4f1N07Xv6srdsHGmnQ58+fj6ZNm+KPP/5AmzZtEBYWppalp0mTxiMtZNZdrp8+ffot9WVGffPmzTh27JhHceJX0i2M1wl4cAFvbA8guawKNXeZoB52h7rfCmr5njN4a9oW7D19Ne4XtYpmwzvtKqJs3sweUnV+taR0l03wGn28QHXgyUbF8do95ZzfGWboEQHe6x5hcl0l6u46ST3qEHX3CJMtlXT7QCMN+iuvvKKWsS9cuBCvv/46li9frmbCZVZ9yJAhqFev3m3FEVM/c+ZMtZS9bdu2aon7jz/+iDfeeAMjRozAU0895bW4uoXxOgEPLuCN7QEkl1Wh5i4T1MPuUPcYUCcvheHdGdvxx8Z/v3TNmTENXmtVDu2rFzB6OXtiQyEp3eUzrtZ783Dmyg3IFxM/9r7Dw5HEak4nwHvd6QpZkx91t4ar06NSd+cqpNsHGmnQ27Vrh2nTpiFnzpxo2LAhOnfurGa9ZcO4a9euqaXrlSpVSlLFEydO4JFHHsHcuXPj6oSGhmLUqFHo2rVrsurL5nTyT/yyfft2da18aVClSpVkY9hR4fLly5ABJEv5M2UycxMkO7iZ3CY1N1k933MPdN3DI6Pww7rj+HLpIVy7GbM7e1AqoEO1vHimURFkDjVrd3ZPR8LtdH/h5+1YsPsc0oYEYekLdZA62PvNUD3Ng/X8RyDQ73X/kXZWS9TdWXr4Kxvq7i/S3rezceNGNGnSBOvWrVM+K6XFSIPerFkzzJs3Ty1Tj2+ylyxZojaO69ChA6ZOnZokm/Pnz+PVV1/FzZs3cc899yA8PBzjx4+HLJ2fPHkyHnzwwdtyHTBgAAYOHJhonU8//RQlSpRIqS68ngRIgARIwAcCey8BP+4PxvFr/272ViRjNDoUi0Qh77Yr8aF1514y72gq/H4oWCX4YsUIFOF3tM4Vi5mRAAmQAAkYRWDv3r1qo/GANuj33nuven983LhxePTRR28RsGjRorh+/bo6di2xIhvLyVFsYqLjm3hZAtigQQN17Nrhw4fV7vBJFc6gG3XPBHSy/LY1MOUPVN0X7T6Hvj9vR/Q/smcJDcHzdxZBu8p5EGTw7uyejuLb6f734Yt4fOIWFep/TYuhS638noZlPQcTCNR73cGS+CU16u4XzI5rhLo7TpK4hDiDDqB3797qrHN5j7xly5a3qFW3bl21jFtmxxMrcpTaXXfdhSlTpqBjx463VJHZ75dffhlr1qxBzZo1vRoFut898KpxDyvz3RUPQbmoGjV3kZhedCUQdT91KQwthi7G+WvhilTn2oXwSouyyJbBs81DvcDr2Kq30z0sPBIV+89GRFQ02lTOhxEPp3wJnmNBBFBigXivB5C8SXaVugfmKKDuztVdtw80con7mDFj0LNnT/XOuPw7fpHz0KUcOXIkURVlCfvDDz+MSZMmqXfX45cPP/wQ/fr1U2epi9H3pugWxpu2Pa3LG9tTUu6pR83do6U3PQk03aOiotF93Bos3nVaYfpfizJ45s6S3iBzRd3kdG87Yik2HrmI/FlCsfy1pq7oc6B3IjnNA52PW/tP3d2q7O37Rd2dq7tuH2ikQT9z5ow6x1w2glu2bBmCg2Peq5Nl77L8vUePHhg9erR6t1zeCciSJQvy5cun6qxfv169vC8z7zIDH1siIiLUrLkscT99+rTXZ6vrFsaKIcgb2wqqzo5JzZ2tj1XZBZru3y7bj4F/bFM4axfLjsm96qozzgOtJKf7gN+3YtzyAwrLyteaIm+W0EBD5Lr+Jqe56zrMDikC1D0wBwJ1d67uun2gkQZd5Bk2bBj69u2rdnGXpepHjx7F8OHDkSFDBvWCfqFChXDgwAEUK1ZMvacu76vHFjlmbcaMGWjcuDHat28PMecTJkxQ5r1///6QTeC8LbqF8bZ9T+rzxvaEkrvqUHN36elpbwJJ9x0nLuG+EctwMyIKmUJDMKtvIxTImvQeIp4yNLFecrrLcXPPTV6vujayS3XcUynmi2sWcwkkp7m5PWPmtyNA3QNzfFB35+qu2wcaa9BFIjHVcu75tm3bkD59ejRv3hyDBw9G8eLFlYJJGfQbN25g5MiRauf2ffv2qffVy5cvr84/T7hk3tOhoFsYT9v1ph5vbG9ouaMuNXeHjt72IlB0l/eq232xDDtOXFaIhj1UFW2rFvAWl2vqJ6f70QvXUf+D+aq/PRoUw1ttyrum74HakeQ0D1Qubu83dXe7won3j7o7V3fdPtBog+4kmXQLY0XfeGNbQdXZMam5s/WxKrtA0X3QH9swdtl+hfH+agXwWaeqViE1Im5yustpJXUHz8PJSzdQrXBW/Pp0fSP6xSSTJpCc5mTnTgLU3Z26Jtcr6p4cIft+r9sH0qBr0lK3MJrSuiUMb2wrqDo7JjV3tj5WZRcIusuGcN3GrlYIZUn7zL4NkTk0tVVIjYjrie5PT1yHPzefQJrgIGwacDdCU8fs4cJiJgFPNDezZ8z6dgSoe2COD+ruXN11+0AadE1a6xZGU1o06FaANCgmH+YGiaUxVbfrfu7qTbQcuhinLt+A7AU35cl6qFU0u0aCZobyRPfRS/bh3RnbVQd/fqoeahQhNzPVjsnaE81N7h9zT5wAdQ/MkUHdnau7bh9Ig65Ja93CaEqLBt0KkAbF5MPcILE0pupm3WWZ9pPfr8OcbScVsefuKomX7i6jkZ65oTzRfd3B83jgy+Wqk2/cUw69GsXs2cJiJgFPNDezZ8z6dgSoe2COD+ruXN11+0AadE1a6xZGU1o06FaANCgmH+YGiaUxVTfr/sPqQ+j3y2ZFq0qhrPipdz2kDg7SSM/cUJ7ofiMiEpX6z8HNyCi0qpgXX3atYW6HmTln0AN0DHhyrwcoGld3m7o7V17dPpAGXZPWuoXRlBYNuhUgDYrJh7lBYmlM1a267zt9Ba2HL8X18EikTxOMGX0aoljODBrJmR3KU93bj1yGvw9dQJ7MadV56KlSBd6Z8WYr/W/2nmrulv6yHzEEqHtgjgTq7lzddftAGnRNWusWRlNaNOhWgDQoJh/mBomlMVU36h4eGYUHv1yOjUcuKlIfPlAJnWoV1kjN/FCe6v7u9G0YvTRm9/ulr96JgtnSm9/5AO2Bp5oHKB7Xdpu6u1ba23aMujtXd90+kAZdk9a6hdGUFg26FSANismHuUFiaUzVjbp/MnsnRizYoyi1qJAHX3WtwZnfBGPGU93/3HwcT0/8W109vHM13Fclv8bRx1D+JOCp5v7MiW1ZT4C6W8/YiS1QdyeqEpOTbh9Ig65Ja93CaEqLBt0KkAbF5MPcILE0puo23VfvP4dO36xAdDTUsuxZzzdCtgxpNBJzRyhPdT95KQx13p+nOt39jqIYcF8FdwAIwF54qnkAonF1l6m7q+VNsnPU3bm66/aBNOiatNYtjKa0aNCtAGlQTD7MDRJLY6pu0v1SWDhaDV2CoxeuK0Lf96iNhqVyaaTlnlDe6F7/g/mKaeWCWfD7sw3cAyHAeuKN5gGGxtXdpe6ulpcG3UB5dftAGnRNg0C3MJrSokG3AqRBMfkhbpBYGlN1k+59f1iP3zYcU3R6NCiGt9qU10jKXaG80f3ZSX9j+qbjCAlKhS0DWyA0dbC7YARIb7zRPECQBEQ3D504g+XLlqFl08bImjVrQPSZneTmgE4eA7p9IA26JrV1C6MpLRp0K0AaFJN/vBkklsZU3aL7tA1H8fwPGxSZsnkz4bdn6tNI3maceKP7t8v2Y+Af21S0qU/WQ+1i2TWOQIbyFwFvNPdXTmzHWgKyh8SLUzYgOjoSwzpURMuqRa1tkNEdQ4D3u2Ok+E8iun0gDbomrXULoyktGnQrQBoUkw9zg8TSmKobdD9y/ppa2n75RgTShARh+nMNUDpPJo2U3BfKG903Hr6Atl8sUxBebVkWTzUp4T4gAdAjbzQPAByu7+LUtYfR7+dNiIqO6WpoSBDGPlYLd5TI6fq+s4OcQXfyGNDtA2nQNamtWxhNadGgWwHSoJj8480gsTSmarrukVHR6PzNSqw+cE5RGXBveXSvX0wjIXeG8kb3mxFRqDRgNm5ERKF5+TwY1a2mO6G4vFfeaO5yFK7v3til+zFoesyql1QA/vHoSJc6GOMeq4U6xXO4nkGgd5D3u3NHgG4fSIOuSWvdwmhKiwbdCpAGxeTD3CCxNKZquu5fLNiDj2fvVEQal86l/vhMlUr+JGW5HQFvde/w1XKsOXAeOTOmwZo3mpGxgcPLW80N7GLApxwdHY3h8/bgs7m7FIvUwanw3r2lsWjdNsw4HLN3RPo0wRj/eG3ULMpXVdw8YHi/O1dd3T6QBl2T1rqF0ZQWDboVIA2KyYe5QWJpTNVk3WXp9QNfLkdEVDSyZ0iDWX0bInemUI103BvKW90Hz9yOrxftU0AW/+9OFM6R3r1wXNozbzV3KQbXdkvM+XsztmP00v2qj2lDgvDVIzVQLU8aLFq0CNuDi+GrpYfV7zKmDcH4HrVRvXA21/II9I7xfnfuCNDtA2nQNWmtWxhNadGgWwHSoJh8mBsklsZUTdX96o0ItPl8KfafuapoyLJrWX7N4hkBb3WfvfUEnvx+nQr+WacquL9aQc8aYi3HEPBWc8ckzkSSJSCv+rzx62b8sOZfAz7m0ZpqKXus7o0aNcLYNafw+fw9Kl6mtCGY0LMOqhTizu7JAjawAu9354qm2wfSoGvSWrcwmtKiQbcCpEEx+TA3SCyNqZqq+2u/bMLk1TF/jD5cpzDev7+SRiruD+Wt7qcv30Ct9+YqMI/ULYJ32lV0PySX9dBbzV3Wfdd2R/aIeHHqBnUUopRs6VPju8dro3LBGOMdX/csWbLgo9k78eXCvep3mUNDMKlXXVQskMW1fAK1Y7zfnau8bh9Ig65Ja93CaEqLBt0KkAbF5MPcILE0pmqi7vFnc4vnzIDpfRogfZoQjVTcH8oX3Rt9tACHzl1DhfyZMaNPQ/dDclkPfdHcZQhc152w8Eg8NWEdFuw8rfqWO1NaTOxZB6XinWKRUHdZCj945g58szjmlZUs6VJjUq86qJCfJt1NA4T3u3PV1O0DadA1aa1bGE1p0aBbAdKgmHyYGySWxlRN0/3kpTC0HLoY56+FIyQoFX59uj4qFeQflt4OCV907/vDevy24RiCUgGbB7RAhrT8UsRb7nbW90VzO/Nl27cncDksHD2/W4tV+2NOsCiUPR0m9qj7n/0hEtNdTLrs8v7tsgPqWpl1n/xEXZTNm5nYXUKA97tzhdTtA2nQNWmtWxhNadGgWwHSoJh8mBsklsZUTdI9Kioaj367Gkt2n1EEXmlZBk83KamRRuCE8kX38SsO4O1pWxUkmXHjecpmjRdfNDerh4GT7bmrN9H929XYdOSi6nSp3BnxfY86yJvlv5tkJqW7mPT+v2/F+BUHVYwcGdLghyfq3jL7HjhE3ddT3u/O1VS3D6RB16S1bmE0pUWDbgVIg2LyYW6QWBpTNUn3+Gf71i6WHZN71UWwTOeyeE3AF923HL2oNuaT8iGdq0MAACAASURBVL8WZfDMnfxyxGvwNl7gi+Y2psumkyAgq4i6jl6F3aeuqBqVCmRR75zLSRaJldvpLib9zd+2YOKqQ+rSnBnTKpNeMndG8jecAO935wqo2wfSoGvSWrcwmtKiQbcCpEEx+TA3SCyNqZqi+44Tl3DfiGWQDZEyhYZgVt9GKJA1nUYSgRXKF90jIqNQeeAcXLsZibvK5sbY7rUCC5rhvfVFc8O77Lr0D529hi5jVuLwueuqb/JFpezWnik0dZJ9TU53WZn0erwd4OU9djHpxXPRpJs8gJLT3eS+mZ67bh9Ig65pROgWRlNaNOhWgDQoJh/mBomlMVUTdJeNkNqOWIadJy+rng/vXA33VcmvkULghfJV94e+WYGV+86pd1b/fqs5UqXiCgZTRo+vmpvSP7fnufvkZXQdswonL91QXW1SJhe+7FID6dIE37brnuguJv2Vnzfhp3VHVKy8mUMx5cm6KJIjg9uxurZ/nuju2s47vGO6fSANuibBdQujKS0adCtAGhSTD3ODxNKYqgm6D/pjG8Yu26963b5aAQzpVFUjgcAM5avuH83agZH/HNE0/6XGnGUzaPj4qrlBXXRtqpuPXES3savU5phSWlfKh886VUWakKBk++yp7nKW+ss/bsSv64+qmPmziEmvh0LZ0yfbBis4j4Cnujsvc/dnpNsH0qBrGjO6hdGUFg26FSANismHuUFiaUzV6bov3nUa3cauVj0umC0dZj7f8LbLOTWicXUoX3Wft/0keny3VrH5pEMVPFijoKs5ualzvmruJgYm9mXVvrPqnrtyI0Kl36lmIbzfvpLH+294o7uY9L5TNuCPjcdUW/IakcykF8xGk27a2PFGd9P6Znq+un0gDbqmEaFbGE1p0aBbAdKgmHyYGySWxlSdrLvsVNxi6GKcvnxDHe019cl6qFk0u8beB24oX3UXTaq/85cC17l2YQxuXylwIRrWc181N6ybrkp3wc5T6P39OtyIiFL96tGgGN5sXc6rV0u81V32mnj+hw2Ysfm4alOOb5vyRD3k554fRo0tb3U3qnOGJ6vbB9KgaxoQuoXRlBYNuhUgDYrJh7lBYmlM1am6y+7CT3y/Dn9tO6l62+euknjx7jIaex7YoVKi+52fLMT+M1dRNm8mtVkfixkEUqK5GT10V5YzNh1H3ynrER4ZrTrWt1kpPN+0lFfmXK7zRffwyCg8O+lvzN4a8/wtmiM9fniiXqLHuLmLunt644vu7um9s3ui2wfSoGvSW7cwmtKiQbcCpEEx+TA3SCyNqTpV98mrD+G1XzarnlYplBU/9a6H1MHJv2+pEY2rQ6VE95embsTPfx+B7A+3qf/dfOXAkJGSEs0N6aJr0py65jD6/bIJUTHeHG+1Ka9mz30pvuouJ2Y8PfFvzN0eY9KL58ygdnfPnfm/Z637khevsZaAr7pbmxWjCwHdPpAGXdO40i2MprRo0K0AaVBMPswNEktjqk7Ufd/pK2g9fCmuh0cifZpg/NmnIYrm5G7CGmX3aVYttv2Jqw7ijV+3qP/9vkdtNCyVS2dqjGURASfe6xZ11eiwY5buxzvTt6k+yKs9H7SvjI61Cvncp5TofiMiUi2xX7DztGq/RC4x6fWQK1Nan/Phhf4hkBLd/ZNh4Lai2wfSoGsaS7qF0ZQWDboVIA2KyYe5QWJpTNVpusvSyge+XI5NRy6qXn70QMr+ONWIylWhUqL79uOX0GrYEsXjhWal8XyzUq5i49bOpERztzJxUr/ktZ5h83Zj6NzdKq3UwakwtFM1tK6cL0VpplR3OeZSXjeSDTullM6TEZN71UWOjDTpKRLG4otTqrvF6QV0eN0+kAZd03DSLYymtGjQrQBpUEw+zA0SS2OqTtP949k78MWCvaqHLSvkxZddq3v9zqVGPK4NlRLdZafnKgPnqF2lG5fOhe8er+1aTm7qWEo0dxMHJ/ZFzPm7M7ZDZs+lpA0JwleP1MCdZXKnOF0duotJ7/ndWizdc0blI/tPTOpVF9kzpElxfgxgDQEduluTGaPq9oE06JrGlG5hNKVFg24FSINi8mFukFgaU3WS7nKc0EOjViI6GsiTOS1mPd8I2fgHoEa1/w2VUt27jl6l/ljPFBqCjW/fjSBZi8viaAIp1dzRnTM4OfnC6/VfNmPK2sOqFxnThmDMozVRp3gOLb3Spfv1m5F4fNwarNh3VuVVPl9mTOpVB1nT06RrEUpzEF26a06L4fgOunPHAA26c7UJ5Mz4MA9M9Z2i+8Xr4bhn2BIcvXBdCTGhRx00KJUzMEXxQ69TqvuQOTsxfP4elelfLzRCqTyZ/JA1m0gJgZRqnpK2eW3iBGQjthemboDs2C4lW/rUakVK5YJZtSHTqfu1mxHoPnYNVh84p/KrVCALJvSsgyzpUmvLl4H0ENCpu56MGCWWgG4fyBl0TWNLtzCa0rolDG9sK6g6OyY1d7Y+VmXnFN2f/2E9pm04prrZU876bVPeqi4zro9HL8UHJ+czP/btGvWjDx+ohE61CpOrwwk45V53OCa/pScz0k9NXIeF/2zAljtTWkzsWUf7l126dZdXW7qPXY21B88rVnLKhmwWmTmUJt1vg8eDhnTr7kGTrOIhAd0+kAbdQ/DJVdMtTHLt+fJ73ti+UDP7Gmputn6+Zu8E3X9bfxR9p2xQXZB3G6c9Wx9pQ4J97RKv84BASnW/eC0cVQbNUS11qlkIHz5Y2YNWWcVOAinV3M7c3db25bBw9PhuLVbvj5mJLpQ9HSb2qIvCOdJr76oVukv+3cauxvpDF1S+1QpnxfjHa/PIRe3q+R7QCt19z4ZXxieg2wfSoGsaX7qF0ZTWLWF4Y1tB1dkxqbmz9bEqO7t1P3zumlrafvlGhNoY6Y/nGqA0l0tbJXdcXB26NxuyCHtOXUHJ3Bkx98XGlufMBlJGQIfmKcuAVwuBc1dvovu3q+NOqiiVOyO+71EHebNYc764VbpfCgvHI6NXYeM/J27ULJJNLc/PkDaEQjuAgFW6O6Brxqeg2wfSoGsaErqF0ZQWDboVIA2KyYe5QWJpTNVO3WVzpIe+WYE1B2KWSg64tzy61y+msXcMlRQBHbq/8tNGTF17RDUhG8VlSc8lrk4ecTo0d3L/TMjt5KUwyAaLu09dUenKO9xiaq3cDd1K3WUlTZcxK7Hl6CXVn9rFsmPcY7WQPg1Nut3j0Urd7e6b6e3r9oE06JpGhG5hNKVFg24FSINi8mFukFgaU7VT9xHzd+OTObtUb+S4LvnDLlUq7gauUd4kQ+nQfcqaQ3j1582qDdGuiYYjofzR90BtQ4fmgcpOR78Pnb2mzOzhczEbYYqZld3aM1n87rbVul+4dhOdR63C9uMxJr1e8RwY270W0qXha0o6xo2vMazW3de8eB2g2wfSoGsaVbqF0ZQWDboVIA2KyYe5QWJpTNUu3TcevoAHvlyOiKhoNXs0q29D5M5kzRJPjbhcE0qH7rtPXkbzzxYrJn3uKokX7y7jGj5u7IgOzd3IxR99knul65hVOHnphmquSZlc+LJLDb+YWH/oLsv2Hx61EjtOXFb9a1gqJ0Z1q4nQ1DTp/hhfibXhD93t6pvp7er2gTTomkaEbmE0pUWDbgVIg2LyYW6QWBpTtUP3qzci0Obzpdh/5qrqyehuNdGsfB6NvWKo5Ajo0D0qKhpVB83BpbAINCiZUx23xOJcAjo0d27vnJvZ5iMX0W3sKpy/Fq6SbF0pHz7rVBVpQoL8krS/dD9z5QY6f7Mybvm+rIr6plsNbvjpF5X/24i/dLepe0Y3q9sH0qBrGg66hdGUFg26FSANismHuUFiaUzVDt37/bwJP6w5rHrRpU5hvHd/JY09YihPCOjSXXZyXrzrNDKmDcHG/ncjOIivKHjC3446ujS3I3dT21y176zarV2OJpMiJx68376SX+8Tf+p++vINta/I3tMxX77eVTY3vuxanSbdhgHsT91t6J7RTer2gTTomoaDbmE0pUWDbgVIg2LyYW6QWBpT9bfus7acQO8J61QPiufKgBnPNfTLMk+NyFwRSpfuw+buxmdzY/YRmPl8Q5TLl9kVfNzYCV2au5GNFX1asPMUen+/DjciolT4Hg2K4c3W5fy+z4a/dT91KQydvlkZt0Kqefk8GNmlOlIH+2fFgBVamhjT37qbyMiunHX7QBp0TUrqFkZTWjToVoA0KCYf5gaJpTFVf+ouOxi3HLpYLfUMCUqFX5+uj0oFs2jsDUN5SkCX7kt2n8YjY1arZt+7vyK61CniaQqs52cCujT3c9pGNjdj03H0nbIe4ZHRKv++zUrh+aal/G7OpW07dD9xUUz6Chw8e031v1XFvBjeuRpNuh9Hsx26+7F7Rjel2wfSoGsaDrqF0ZQWDboVIA2KyYe5QWJpTNVfusv7yo9+uxpLdp9R2b/asiyealJCY08YyhsCunS/HBaOygPnIDoaeKB6QXzasYo3abCuHwno0tyPKRvZ1NQ1h9Hvl02IivHmeKtNeTV7blexS/djF64rkx67a33ryvkwrFNVhHAm3S9DwS7d/dI5wxvR7QNp0DUNCN3CaEqLBt0KkAbF5MPcILE0puov3ccs3Y93pm9Tmdcplh2TetX163uYGpG5IpRO3WVVhOzeXCxnBix4uYkr+LixEzo1dyMfHX2K/5yT7Rg+aF8ZHWsV0hHa5xh26n743DU89M1KHL0Qc7TcfVXyqw3yuFeFz3J6fKGdunucZIBW1O0DadA1DSTdwmhKiwbdCpAGxeTD3CCxNKbqD93lfNy2I5bhZmQUMoeGYFbfRsifNZ3GXjCUtwR06v7aL5sxefUhlcLfbzVXx+axOI+ATs2d1zt7M4qOjsawebsxdO5ulUjq4FQY2qkaZNbY7mK37nL+u8ykH78YplC0r1YAH3eoQpNu8cCwW3eLu2d0eN0+kAZd03DQLYymtGjQrQBpUEw+zA0SS2OqVuseFh6pzPnOkzHn437euRrurZJfYw8YyhcCOnX/ce1h/O+nTSqNMY/WRNNyPDLPF02svkan5lbnalJ8MefvztgOmT2XkjYkCF89UgN3lsntiG44QfcDZ64qkx57DnyHGgXx4QOVEcRTHywbI07Q3bLOGR5Ytw+kQdc0IHQLoyktGnQrQBoUkw9zg8TSmKrVug/8Yyu+XXZAZSwzJ0M6VdWYPUP5SkCn7vtOX8Fdny5SqTxzZwn8r0VZX9PidRYS0Km5hWkaFToyKhqv/7IZU9bGHBspxw3Kl1R1iudwTD+cors8J2R3dzmKTcpDtQrh/fsr0aRbNFKcortF3TM6rG4fSIOuaTjoFkZTWjToVoA0KCYf5gaJpTFVK3VftOs0Hh0bs8N3oezp8GefhsgUmlpj9gzlKwGdussMYvV3/lK789ctnh0/PFHP17R4nYUEdGpuYZrGhL4ZEYUXpm6A7NguJVv61Bj/eB3HnUzhJN33nLqs3kk/c+WmYta1bmG807aiLbvbGzPQfEzUSbr72AXXXqbbB9KgaxoquoXRlBYNuhUgDYrJh7lBYmlM1Srdz165gZbDlqjZElnFOPXJeqhZNLvGzBkqJQR06/74uDWYv+MU0qUOxuYBd3On5pSIY9G1ujW3KE0jwl6/GYmnJq7Dwp2nVb55MqfFhB51UCpPJsfl7zTdd52MMennrsaY9O53FEX/e8vTpGseOU7TXXP3jA6n2wfSoGsaDrqF0ZQWDboVIA2KyYe5QWJpTNUK3WVG9Ynv1+GvbSdVpn3uKokX7y6jMWuGSikB3bqPmL8bn8zZpdKa/lwDVCzA8+1TqpHu63Vrrjs/U+LJ0YI9vluL1fvPqZQLZ0+PiT3roFD29I7sghN1l41DO49aiQvXwhWzx+sXw1ttytGkaxxBTtRdY/eMDqXbB9KgaxoOuoXRlBYNuhUgDYrJh7lBYmlM1QrdJ606hNd/3ayyrFooK37sXQ+pefatRtVSHkq37sv3nsHDo1apxAa1rYBu9YqmPElG0EpAt+ZakzMkmMz6dv92NTYduagyLpU7Iyb0rIM8mUMd2wOn6r7l6EV0Gb0KF6/HmPQnGxVHv1ZladI1jSSn6q6pe0aH0e0DadA1DQfdwmhKiwbdCpAGxeTD3CCxNKaqW/e9p6+gzfCluB4eifRpgtV750VzZtCYMUPpIKBb96s3IlBpwGxERQPtqubH0Ieq6UiTMTQS0K25xtSMCHXyUhi6jl6F3aeuqHwrF8yCcY/Vdvyxgk7WffORi3h49EpcDotQTJ9uIptMlqFJ13BHOFl3Dd0zOoRuH0iDrmk46BZGU1o06FaANCgmH+YGiaUxVZ26y6ZJD3y5HJuPxswuffRAZXSsVUhjtgyli4BO3WNzumfYEmw7fkkt+V38yp26UmUcTQSs0FxTao4PI2d5dxmzEofPXVe51i6WXe3WbsKml07XfcPhC3hk9CpcvhFj0vs0LYUXm5d2/JhweoJO193p/KzMT7cPpEHXpJZuYTSlRYNuBUiDYvJhbpBYGlPVqftHs3Zg5MK9KrtWFfNiZJfqnAnRqJXOUDp1j83rrd+24PuVB9X/rnmjGXJlSqszZcZKIQErNE9hSkZcvvvkZXQdsyruDO87y+TCl11rIDR1sBH5m6D7uoPn0W3MKly9GamYvtCsNJ5vVsoIvk5N0gTdncrO6rx0+0AadE2K6RZGU1o06FaANCgmH+YGiaUxVV26r9p3Fg+NWono6JgdjWc93wjZMqTRmClD6SSgS/f4Of26/ghemLJR/ejrR2qgRYW8OlNmrBQSsELzFKbk+MtlCXa3savUEYJSWlfOh886VkWakCDH5x6boCm6rzlwTh3Lee0fky5L3Z+5s6QxnJ2WqCm6O42bP/LR7QNp0DWpplsYTWnRoFsB0qCYfJgbJJbGVHXoLpv8tBq6GMcuhqnMZEfj+iVzasySoXQT0KF7wpwOnr2Kxh8vVD9+snFxvNaqnO60GS8FBKzQPAXpOP5S+dJRdmu/8s/S64dqFcJ791dCsJwbaVAxSXdh3v3bNWoPEymvtSqLJxuXMIi2c1I1SXfnUPNPJrp9IA26Jt10C6MpLRp0K0AaFJMPc4PE0piqDt37TF6P3zceU1n1algMb7QurzFDhrKCgA7dE+Ylx+vVem8uzly5idpFs2Nq73pWpM6YPhKwQnMfU3H8ZQt2nkLv79fhRkSUyrVnA3mumXkMmGm6L99zBo+NWxPH/s3W5dCzYXHHjxmnJWia7k7jZ2U+un0gDbomtXQLoyktGnQrQBoUkw9zg8TSmGpKdf9t/VH0nbJBZVQuX2b89swdSBtixruZGjEaFyqluifV4V7j1+KvbSeRNiQImwe0MGopsHEiepmwVZp7mYbjq8/YdBx9p6xHeGS0ylXeh+7TtKSx+2mYqPuS3afV6gXZeFTKgHvLo3v9Yo4fO05K0ETdncTPylx0+0AadE1q6RZGU1o06FaANCgmH+YGiaUx1ZTofvjcNcjO3bL7rhiyP55rgNJ5MmnMjqGsIpAS3W+X05cL9+LDWTtUlWnP1EeVQlmt6gLjeknAKs29TMPR1aeuOYx+v2xSxwVKebtNeTzewGxjaKruC3eewhPj1+FmZIxJf6ddRTxSt4ijx4+TkjNVdycxtCoX3T6QBl2TUrqF0ZQWDboVIA2KyYe5QWJpTNVX3SMio/DQNyux9uB5lc3A+yrg0TuKasyMoawk4KvuyeUk75B2+malqtb/3vJ4jLNeySHz2++t0txvHbC4oTFL9+Od6dtUK/Ka+Qft3XFMpMm6z99xEk9+vy5uNcPg9pXQuXZhi0eCO8KbrLs7FEi6F7p9IA26phGjWxhNadGgWwHSoJh8mBsklsZUfdX983m78elfu1QmTcrkwrfdaxm7BFQjTmNC+ap7ch28fjMSlQbMRkRUNNpUzocRD1dP7hL+3k8ErNLcT+lb1ozsnTBs3m4MnbtbtZE6OBWGdqqmdmx3QzFd9zlbT+DpiX+rZ4qUjx6sjI41C7lBGkv7YLrulsKxObhuH0iDrklQ3cJoSosG3QqQBsXkw9wgsTSm6ovuGw5fwANfLkdkVDRyZEiDmX0bInemUI1ZMZTVBHzR3dOc7huxFJuOXESBrOmwrN9dnl7GehYTsFJzi1O3LLyY83dnbIfMnksJTR2Er7rWQJMyuS1r09+B3aD7rC3H8cyk9eozJ1Uq4NMOVdC+ekF/ozSqPTfobhRwL5LV7QONNujHjx/HoEGDMGPGDJw8eRI5cuRA7dq18fXXXyNPnjzJYv3hhx8wYsQIbNq0CfJAL1GiBJ566ik8+eSTyV6bsIJuYbxOwIMLeGN7AMllVai5ywT1sDve6n71RgRaD1+CA2evqRbGPFoTTcsl/wz1MB1W8xMBb3X3Jq0Bv2/FuOUH1CUrX2uKvFn45Y03/Kyqa6XmVuVsZVwxe6//shlT1h5WzWRMG4Kx3WuhdrHsVjbr99hu0V027+vzQ4xJl1cQPutUFW2rFvA7T1MadIvupvD2Jk/dPtBYg7579240atQI6dKlQ/fu3VGwYEGcPn0aK1aswMcff4xSpUrdluuLL76IYcOGoWPHjmjcuLEy6BIzNDQU77//vjeaqLq6hfE6AQ8u4I3tASSXVaHmLhPUw+54q/urP22K+4O2S53C6lxgFvMIeKu7Nz2UI/fk6D0pI7tUxz2V3LFU2BsGTqxrpeZO7O/tcpLdwV+YugFi+qRkS58a4x+vg0oFs5jWlWTzdZPu0zYcxQtTNqhN/MSkD+9cDW0q50+WQSBWcJPubtNPtw800qCLma5Tpw4iIyOxaNEiZMyY0SudZca9TZs2mDRpEjp37uzVtUlV1i2MlqQSBOGNbQVVZ8ek5s7Wx6rsvNF91pYT6D1hnUqleK4MmPFcQ6RLwyPVrNLGyrje6O5tHkfOX0ODDxeoy+T86DfblPc2BOtbQMBKzS1I17KQsk/CUxPXYeHO06qNPJnTYkKPOijl0hMo3Kb7L38fwUs/bkR0NBAclAojOldDK34J+J/7xW26W/ZAsCGwbh9opEGfP38+mjZtij/++EMZ7bCwMAQFBSFNmjQeSSIz79euXcPatWvVzPmVK1eQKVPKjhHSLYxHHfGyEm9sL4G5oDo1d4GIPnTBU91PXgpDi6GLceFauNpE6den66NiAffNNvmA0MhLPNXdl86pL8bfn4dTl2+geuGs+OXp+r6E4TWaCVipueZULQt3OSxcna+9ev851Ubh7OkxsWcdFMqe3rI27Q7sRt1/XHsYr/wsr5wCIUGp1EqduyvktRu1o9p3o+6OApyCZHT7QCMN+iuvvKKWsS9cuBCvv/46li9frnYalln1IUOGoF69ekkiFjOeJUsW9a55zpw5MXz4cJw/fx7ZsmVDjx491PL21KlTey2RbmG8TsCDC3hjewDJZVWoucsE9bA7nugeFRWNbmNXY+meMypqv1Zl0btxCQ9bYDUnEvBE95Tk/dSEdZi55QTSBAdh88C7kTaEKy1SwlPHtVZrriNHK2Ocu3oT3b9drTYwlFIqd0ZM6FkHeTK7e48Et+r+w+pD6PfLZqWlfGksm/txP5R/7yC36m7lM8JfsXX7QCMNert27TBt2jRlsBs2bKiWqR87dkxtGCcz46tXr0alSom/Q7lhwwZUq1ZNXRsVFYW33npLvb8+efJk/PLLL+jSpQsmTJhwWz1lczr5J37Zvn07unbtqr40qFKlir/Gg1ftXL58Wb0rX7169RSvGPCqYVa2jQA1tw29rQ17ovv3q4/i0/kxm37VLJwZXz9UUS0tZDGXgCe6p6R341cdxZAFMWPmu0cqoUqBzCkJx2s1ELBacw0pWhZCVnP0nrIV+85cV22Uz5sRX3Qsr949d3txs+4/rj+O92bvizPpQx8oh/rFs7ldUo/652bdPQLg4EobN25EkyZNsG7dOuWzUlqMNOjNmjXDvHnz1DL3uXPnxjFYsmSJ2jiuQ4cOmDp1aqJsli5dqky9lMWLF8f9t/y/xJPl81u3bkX58km/XzdgwAAMHDgw0fiffvqp2g2ehQRIgAScSuDoVeDTzcGIjE6FdMHReLVKJLKldWq2zMspBPZfBoZuCVHptCsSiTvzx5xhzEIC/iYQGQV8tCkYJ67HfKlYIlM0nigbidCY4cliOIHFx1Ph5wMxK3RCUkWjV9kolM3K543hsro6/b179+Kll14KbIN+7733Yvr06Rg3bhweffTRWwQvWrQorl+/ro5dS6zINxs1a9aE1Nu/P+aMzNgi8R577DGMHDlSLYFPqnAG3dX3mKs6x29bXSWnx525ne5h4ZHo8t0m7D0Tc6Tah23LoEW5nB7HZkXnErD6fr8REYX6Q1YiIioazcrkwCf3l3UujADJzGrNnYpx87HLeGT8JpXeHcWy4tP2ZZEudeC8chEIuk9YcwyfzIv5Oz1tSBA+f7AcahfN6tQh6Ze8AkF3v4C0oBHOoAPo3bu3Out85syZaNmy5S2Y69atq5Zx37x5M1H8J06cQL58+dT76itXrrylzqxZs9CqVSu899576t12b4rudw+8advTunx3xVNS7qlHzd2jpTc9uZ3u8c+zbl+9AIZ0rOpNaNZ1MAF/3O/3j1yG9YcuqF2y5Tx02f+FxT4C/tDcvt4l3fLk1Yfw2j/vKk/uVRf1SuRwYpqW5RQoun+zeC/e/3OH4hiaOgjjHquNusUDS+v4gyhQdLfsxrEwsG4faOQS9zFjxqBnz54YNWqU+nf8Iu+TSzly5EiSMhQqVEj97vDhw7fUGT16NHr16pVo3OQ01S1Mcu358nve2L5QM/saam62fr5mn5TuC3eeQvdv16iwhbKnw599GiJTqPvf1/SVo2nX+eN+f2f6NoxZGjOrtazfXSiQNZ1pmFyVrz80dyKw/tO24LsVB1Vq699qjmwZPDvFx4l98SWnQNJ95MI9+GjWToUpfZpgfPd4zNDLpQAAIABJREFUbdQqmt0XbMZfE0i6myaWbh9opEE/c+YMihQpojaCW7ZsGYKDY5Y1ybJ3Wf4uu7GL2Q4PD4e8EyC7tsuseWx59dVX8dFHH8Ud0yY/lzPV77jjDvXuwJ49e9QSeG+KbmG8advTuryxPSXlnnrU3D1aetOTxHQ/e+UGWgxdgjNXbkD2gvuxdz3UKBKYf+R4w9Kkuv6432dsOo5nJv2tsHzeuRrurZLfJESuy9UfmjsRWsevVmD1gXPImzkUK19v6sQULc0p0HQfPm83hvy1SzHNkCYY43vUQY0igbdxXKDpbulNpDm4bh9opEEXpsOGDUPfvn3VJm8dO3bE0aNH1ZFpGTJkUCZbZskPHDiAYsWKqffU5f3y2CLHqsl76PIu+fPPP48CBQqoTeVkk7l+/fph8ODBXsumWxivE/DgAt7YHkByWRVq7jJBPexOQt3lDOte49dh7vaYvTn6NC2FF5uX9jAaq5lCwB/3+/GL11Fv8HyFpPsdRTHgvgqm4HFlnv7Q3Gng5HlWeeAcXA6LwJ1lcuHbx2o7LUXL8wlE3cWgi1GXkjNjGix99S6EBtC+A9LvQNTd8ptJUwO6faCxBl14ynFocu75tm3bkD59ejRv3lyZ6+LFiyvcSRl0+Z2Y89deew1//vknLl68iJIlS+LZZ5+97eZwt9NQtzCaxsstYXhjW0HV2TGpubP1sSq7hLpPXHUQb/y6RTVXtVBW/NS7HkKCg6xqnnFtIuCv+/2OwfNw7GIYqhTMgmnPNrCpt2w2UP9gP3rhOup/EPMl0VNNSuDVloG3WaG/7nUn3WXyxUz/37di/D+vNkx9sh5qFwusVWCBqLuTxqA/faDRBt1JotGgO0kN5hJLgA/zwBwL8XU/Gx6C1sOXICw8Si0N/PP5hiiSI0NggnF5r/11v8sSd1nqHhKUClsGtgi4WSwnDSN/ae6kPs/bfhI9vlurUhr2UFW0rVrASelZnousYnniu9W4cvkyvu5WC6UL5bG8Tac0sP7Qedw/crlK5/V7yuKJRoF1rHEg3u9OGXvJ5aHbB9KgJ0fcw9/rFsbDZr2qxhvbK1yuqEzNXSGj152I1f2OBg3x+KRt2Hz0oorx0YOV0bFmzCaZLO4j4K/7fezS/Rg0fZsCKHsZBOqGTU4YQf7S3Al9jc3hiwV78PHsmE3D5rzQCKXzZHJSepbmIsdkdvx6BTYdiXmmF8+ZDj891QDZA2STvBsRkajUfw5uRkbhnkp5MbJLDUt5Oy14IN7vTtMgqXx0+0AadE3K6xZGU1q3hOGNbQVVZ8ek5s7Wx6rsYnXfGF0EY1ceVc3IHzNfPFydx2JZBd0Bcf11v284fAHtvlimetyvVVn0bhxYs1gOkDouBX9p7qQ+Pzvpb0zfdBxpgoOwdVCL/7N3HdBRFV34I72RkBBCb6G30EsIPTQVREVRQZogUhUp/qAiARVUEEVBAUE6IgqKgtIhtIQSWuiE0EJJSAKB9MZ/7mwSNpCQ93bn7b63O3MOJ0Du3Llzv5nZvTO3wN5KwnXIxXvcupP487juTKdGRQ7n9W2CF/weJ0JWE1ZKyNJr/gGcvHEf5TyccHCydSUItMb9rsQaUoInbztQGOicUOINDCexhIGuhCI1xFMc5hoCi6OohPuSv4Mx76wdHgEs0/GWsW1RwsW6ShFxVKkmWJlqv6dnZqNB0FakZWaja93SWDSgmSb0Y4lCmgpzNeku8Js9uHw3CXXLurOQHWtpi/dF4vPN59h0K3k6wTErGYPa10K/AOtK+Bn09xksO3iV6eHwR4HwcXeyliUgksSpGGnedqAw0DmBzRsYTmIJA10JRWqIpzV+edMQPIqJev1OLF78MRT30+l9BVg9tCUCqnsrNp5aGJP756rQa4iMTYKTnS2cHWxyftqyOGn640x/cv7fv1rJfB4FD1Mz4GBnw17mihXT6U5LzZT7/dWfDuLotXvwdnPEkY8DNakvLWFbmKymxFwN+qI9XvfTLch+BPRuUgHf9GmoBrEUl2HfpbsY+MthNm83Rzus6N8A108fQYcO7VGiRAnFx1fTAH8dv4mxv51gIi3s3xTd6pVRk3iKymJt+11RZXJmztsOFAY6J4B4A8NJLGGgK6FIDfEUh7mGwOIo6vDlh7DlXCzjOKydLz56vg5H7upklZyeiaHLj+Lg5ThJApL9HTnj+XyGZe7LXPMqnvh9eOs8PmS4v/lzaAHGvg0z+POMfwdbONnZwJl+5rsQsGVeDBW9XPJ4Zmc/Yt4NtlSUnlMz5X6f+e85LNwbySTfO7EjKpV8PDdO0xFsJGjAlJhLEEdxkvCoBPSct5+N88kLdTC0ra5qjyW3a3FJeHHeASSkZIDOrZ/7N0Ozco4IDg5G+/aPDXS6vFgZcg2DA6pYdJWOq7FJ6DB7D4Pc2rL4W9t+19K+5m0HCgOdE/q8geEkVj42YmMroVV18xSYqxsfJaQ7fCWeJRGiVsvHFX+/1xaOdrZKDKUanmRAD156hL3oSm0uDrY4O717PnIq3UQlnNpU98aqoS3zfhf9IBUtZ+yUyrpAugH+lTG9V/283x28HIu+Px9ir/VzXm+IHn7l8n73R1gU1odFwck+x9i3s4WTg+71n/2f/qVA7kWAgw2y01NxL+IEunRS/lVty+k7GL4qjMn83euN8FJj68qkbdRi4NjZ2s74dUdv4MM/TjENrhrSEm1qWLZnUGJaJl758QAuRieyOU/oWhOjO9V4ytWZLiiHrQjD/ohYvNq0Ar7u7Qcbjpd/HJes0awoFr/JZ9txLzkD/r4l8euwVkbz1AoDa9vvWsGF5ORtBwoDnRP6vIHhJFY+NmJjK6FVdfMUmKsbHyWkG74yDFvO3GGs1w5uiFa1KigxjGp4JiRnYMDSwyxpELXaZYpjxdst4Opoh5SMLKSkZ4Ey/6akZ7N/0ysT/czKfoTnG+RPrDR3xyXEJaWhqrcrBgdUzZsjlTWi13nql5ah40N8UzOz8IiewSW0d9v5YrKeJ8Pu8zEYvOwI67ngraboXv+xm+bsrRcwb3eEBK5Pk5RzeYRNYwLg5elpUH+pnWIepqLFF7pLiycvH6TyEHTGa8Dazvjp/5zFLweuMMUd/aQzC7Gw1EZeNiNWh2HrmWg2xRcalMW8vo2Z18+TuNPFIoWd3E5IZefX+hGtLTqz+6Clh7Hnwl1WOvRUUDeunkhqXk/Wtt/VjMWTsvG2A4WBzgl93sBwEisfG7GxldCqunkKzNWND2/pbsQno/2s3SxOsaZHNtaNaGvR8YlxiWnov+Qwzt5+wFTpV8GDGeemSoZHLzmUKI2Mfqozr2+4p6brLgJy/7+GjxsaVnwcK3r21gOsDL3G+g5pUxX1y3vkLYcFwZex5tD1vAsFosnIkngTAGBFfz+0q6d8Ob22X+/CjfgU1Cvnjs3vWU+yLt771hh+1nbG9/05lIWxkGFOBrolt+92XMR3Oy6xKdLF44aRreHiYMf+XRDuETGJoARq377eCKWKW+7FBc1fXzdbx7ZDrTLWUWrP2va7lvY3bztQGOic0OcNDCexhIGuhCI1xFMc5hoCi4OoX2w+i5/36V6X3qmVhVEvt7NoA12/HnLTyp5YOrg53J3sOWhSfSwys7KRmpmte7nP8QJgP3MuAq7HJ+PTjWeY4G+3Ko9PX2qk+CTeX3scG0/cYq9X4UFd84wHxQcWA+RpwJrOeH3X5rY1vLFyyOMwFEtbElvP3MG7K3UhJJ4u9vh7dJt8OSysCfeCsN1zIQaDluo8kL7q3QCvN69kaUugwPlYO+5qBpm3HSgMdE5o8waGk1jCQFdCkRriKQ5zDYFlpKhJaZloNXMnHqZmomIJJ4yrnYiOFp7hl1xAJ28Ix7X4JCwZ2Jy5tVtrI+Nl/NowuCbdwjs9WqNSGeVjc5cfvIqpf+suBX59pxUoK75optWANZ3x+rkgLDn55cXoh3h5/gEkpWexy6+VQ1qgdbX8+1kq7seu38Ol6IcWZ8DeT05Ho+nb2WZ7s0VFzHzFz7Qbz0yjScXdTOJZ9bC87UBhoHNaTryB4SSWMNCVUKSGeIrDXENgGSnqypCrmJLzgvph56oon3QpX4ZfI9mrtjvFkmdkZbOs6dbeTL3fT99MQI8fdBm1J3arhVEdq1s7BCafv6kxN/kE9QbUfzWd06chXmlimfk1cuOraepBPetikF4+jFx1SMH9YEQshq7Q5c74to/lJXLsOHsPrsQmMff/LWPbmXNpmmxsKbibTBgxUD4N8LYDhYHOaYHxBoaTWMJAV0KRGuIpDnMNgWWEqPSS3PnbYETeTWI1creMbIqw0AMWZ6BH3k3EtrPRoIRrWqxTbgTEkrqaer+T232DoG3MAAis7YMlg5pLklMQ8dOAqTHnJ7l8TpSb4cv/zrOO/77XFnXLuctnooEeVE7tvV+Pw6e4I75+1a/As04K7uQmP3L1MZYQk17if+rXBF0tqGb4B7+dwJ/Hb4KS1YcHdbMKDyopuGtgiVukiLztQGGgc1omvIHhJJYw0JVQpIZ4isNcQ2AZIar+yxLVwH2/bfmnauQawV4VXcntk8qSxSamYVyXmngvsIYq5FKTEPr73cPDwySXGK8vDMGhK/EsY3TYJ51NMqaadG5uWazpjB+79jj+OnELdjbFcGZ6N4suH0lGNf1xsLMpcIlJxf3P41H44LeTjAeVdPxlUHOLKU2nH2KzdlgrtPK1/BAbqbib+1yyxvF524HCQOe0ingDw0ksYaAroUgN8RSHuYbAMkLUgb8cRvDFuyhWDNgzoQM8bDMszkCnWMr+iw+xuMyXG5fHN681tNg6v4YuBdrvqzYH44pteRy8koBNY9qgpMJlqL7ach4/7bnMRN49oQMr8SSa6TRgTWd89+/24vydh6hVuji2fmBZLs1U75y8n6Q2ObhTtYgpf51mrJ3tbbFqaAs0rewldSjV0lFpzV7zDzD5Jj1XG8PbV1OtrLwEk4M7rzEFH2ka4G0HCgNdmt6LpOINTJEDGkAgNrYBStN4F4G5xgGUID6V1uk8J5hRdq7jg8UDmxdYgkcCK9WTHIqMw3+n7+DTHnWFcV4AWrTfv/ljL1ZG6OLxyT22TzNly63tOBvN4lypzX6tIV5taplxwWrdHNZyxqdnZqPup1uQmf0IvRqVw9w3GqsVEtlynYq6jwG/HMa0F+uhV6PykvrLxZ0u0egyjVpxJzvQi3O9co9LO0oaVGVEtCbqB20F/exerwwW9G+qMgn5iyMXd/4SCI6FaYC3HSgMdE5rjTcwnMTKx0ZsbCW0qm6eAnN148NDuk/+Cseq0OuM1ZqhLdG6urfFGOgUW29DAYaiSdIA7ff/dgZjSpg9qvu4YUSHapK/8EsaoAAiqkXf9PMd7Dd9W1bCjJcbGMpK9DNAA9Zyxp+99QDPf7+Paeh/3WuztW0JjV7Ou8wJxu2EVDadv0cHwK9CiSKnZgjus7aex/zdOm+Xkq4O+O1df3ZOaLm9/OMBHL9+H2XcnRD6UaCWpyJJdkNwl8RYEBmtAd52oDDQjYZEx4A3MJzEysdGbGwltKpungJzdeNjrHQJyRmstBol6SK3zy1j27IYYEvA/UBELL7YfA7LBjeHj7uTsaqyiv65uNdr6o/qFXxMNucOs3bjalyyVWVTNplyixjIEva6FF1uOBaFcet0sdR0JnSoZbr1LUU+Y2h+O3Idn/x1Gv1aVkbQi/UksTIEdyrFGPT3GSwPucbGKOvhhHXv+uerry5pcBURTfvnDJYeuMokCp0ciDIelv1ZYQjuKoLLokXhbQcKA53TcuENDCexhIGuhCI1xFMc5hoCywBRF+29jBn/6twWv3ylAd5oUYn9Xeu47z4fg3dXhTHXxRo+bvh7dBs4O4gyakUtEXPhPm7dCWw4dpPlQDg1tSuKO9kXJar4PScNmAtzTuJLZjPj33NYtDeS0R/6KBClLezSjjwEapR2g71twUnhnlSUobiTV9LEP05h/bEoxrJySRf8/q6/Zi9BN564iffXnmBzWfBWE3SvX1bymtIioaG4a3GuWpOZtx0oDHROK4A3MJzEEga6EorUEE9xmGsILJmiUomr9rP24Ob9FHi62CNkcmBeLXAt477l9B2M+fUYMrIeMY182L0WRnYQ9bWlLA9z4b4q9Bp7AaS2akhLi8kSLUXn5qYxF+amnnf/JYew71IsO+uOTeli9dUCjMGdPjtGrzmOLWfuMBhrlnbDb8P84enqYGpYjR7velwy2s3azfi8294Xk5+rYzRPNTMwBnc1z8sSZONtBwoDndOq4A0MJ7GEga6EIjXEUxzmGgJLpqhbTt/G8FXHWK+RHarhw+618zhoFfe/T94C1bal8kLUKBnc222qytSM9ZI/ifuN+GTsOh+Dt1pVZnWQlWr68cGiBJ5SWi6Yr1b3ulwtNf9iB+4+TIO/b0n8OqyV3O6qoj98JR7LQ67iq95+sjK360/CWNzTMrPwzoow7L14l7FtWMEDq4a21Jz3C7ntUw6M+KR0tKzqxeLqLbkZi7sl68bcc+NtBwoDnROivIHhJJYw0JVQpIZ4isNcQ2DJFLXPghAcvhrPDK/9/+uIsh7OmjbQfz96Ax+uP4VHOtscX7xcn8VkiiZdA/r7/e9z9/HpxjOs8+/D/dG8inJllehCxS9oKyuB175mKSx/u4V0oQWlURqwhjM+NjENzXISEQ4OqIKpPaXFaRulWIU6k8fTiz/sR1xSOssbsnF0QJ7nk5wheeCekp6FAb8cwpGr99jQLap6YcXbLQySR47svGnfXnaEXUS6ONgiPKibopeRvGWXy48H7nLHFPTSNMDbDhQGujS9F0nFG5giBzSAQGxsA5Sm8S4Cc40DWIj4p28moMcP+9lvezYshx/ezF9ySGu467tI00Pv16+Kcl2GrFx93G8mF8ML3+vWyLB2vvjoeWVdP/stDsWBiDi4O9nhxKddRfZ9QwA0oI/W9roBUwQljOy3+BDr+nVvP/RprmzpQENklNKHDOLXFh7E6ZsPGPmojtUwsdtjzycpPHJpeOH+IDUDfX8OzZNpUf+m6FqvjBxRzE77/c5LmLP9IpPjv/fbok5Zd7PLpJQAvHBXSj5r5svbDhQGOqfVxBsYTmLlYyM2thJaVTdPgbm68TFUuvHrTuYl+dkwsjWaVPLU7F5fsv8KPtt0lslP3gDfvd6IXTqIJl8D+vvdw8MDbb7azXIUVPV2xa7x7RWN2/1m2wX8sCuCCb1jXDtU9ykufwKih2wNWMMZv3hfJD7ffI7p5p/RbdCggvbqd5MrNiUzozAeaoG1ffDzgGYGX2TxxJ3cw99cFIohbauiTzPtXX6Qmz7Vkac285UGeDMnWarszaSBDjxx18B0NSUibztQGOic4OcNDCexNPulXYn5WyNPcZhbHuoUhxnw5S6kZ2WjYcUS2Dgq4KlJagX3+bsjMGvrBSa/vW0xzOvbBN009nqjphX2JO5UUmnZQV0JIqWNZsq8P3jZETaWll851YSnFFm0stelzKUwmtwLSfKuOTu9u+ZcsGleC4MvY+Z/uoobvqVc8deoALgbUe2AN+4ZWdmSM8gbg6USfRNSMtBw2jbG+vVmFfHVq35KDKMKnrxxV8WkLEQI3nagMNA5LQzewHASSxjoSihSQzzFYa4hsCSKOnfHJXy7Q+fON/eNRujVqLzmDHR6Tfp2+0V8n/Pi6mhng4X9m1pUbWOJcHIle3K/67sGK50N/35yOhpN324VX5K5gmYkM2s441/4fh/O3HqAaqVcsXN8ByM1Zvruey7oLq8ov0ZxJztmnFcr5WaUIErjTiUu/zl5C680Ka+o541RStDr3OmbPYi8m8Ti+rd+0I4XW9XxURp31U1YQwLxtgOFgc4JfN7AcBJLGOhKKFJDPMVhriGwJIhKmXfJbZle0X2KO2L//zrBwe7purlqxp2Mc3pJyq1p7GxviyUDm6F1dW8JGhAkz9LAk7jTq1jTz7bjQWomGlcqgT9HPu1twVOjgd/sweW7Sax2/fZx7XmyFrwK0YCa9zoP0KgkWN1PtzKPoRf8ymJ+3yY82JqMx5XYJLw4bz8epmaiWDHgl4HN0bG2j9HjK4k7xcqPWB2GPRfu4r3AGqDKDGpv49adwIZjN5mOKVGcm6Od2kU2SD4lcTdIINEpTwO87UBhoHNaXLyB4SSWMNCVUKSGeIrDXENgSRB1w7EojFt3klGO71ITYwJrFNhLrbhnZz9C0D9nsCLkGpObvkQtG9wczRTMMC5BrRZDUhDu7689jo0nbrEvroc+CoRPcSfF5jvx95P4PSyK8T85tSs8nO0VG0sw1mlArXudFz6Xoh+iy7d7GbsJXWtidKeCzzxe4/Hk8zA1Ay//eBARMYmMLU8vFiVxvxj9EL1/PIiHaZmo5OWCze+1UX35tZUhVzElp2rFmndaonU1y7zwVRJ3nmvfGnnxtgOFgc5pFfEGhpNYwkBXQpEa4ikOcw2BVYSo9PL84rwDCL+ZwF7NQyZ1Qkk3R00Z6PoXDGS8UUkfiqMXjY8GCtrvm07dwug1x9kASidQWnv4OiZtCGdj0cVLh1rGvxTy0YzlcrH0M56Sqr33q279Lh7QDJ3rltYEmHQZOWzlUew4F8Pk7eFXllXbKEY3ZRya0rgfuRqPzzedxaIBzVDaXblLPQ6qYCzCoxLQc56uagXPixBe8vHiozTuvOS0Rj687UBhoHNaRbyB4SRWPjZiYyuhVXXzFJirGx850h29Go9XF4SwLn2aVWClyAprasWd6mVP+P0kgi/exaohLVG3nOWWw5GDLS/agnCnV7wmn21HRtYjdKrtg18GNec13FN86OWta85rp1ZcYxVThokYq3Wv85r+V1vO46c9lxm7/f/riAqeLrxYK8pnzrYLeTk26pZ1x/oRreHsYMttTFPgTpfCvC4UuE28EEYUzlN/6lakZWaja93S7GLBEpspcLdEvZliTrztQGGgc0KNNzCcxBIGuhKK1BBPcZhrCKwiRB21+hg2h99mVEXVelUz7hRTejshFRW9tPFFW0srqDDcB/5ymF2KkOfF8Sld4KpQfCa9Gjacvo3F27at4Y2VQ1pqSX2alFXNe52HQgcvPYzdF+6y5GqnpnbVhMH4X/htjFh9jE3fy9UBf48O4H6xYA7c6ZX6bmIqOtVWpxdD758OIuzaPZafhcJ5tHK5IGefmAN3OfJZMy1vO1AY6JxWE29gOIklDHQlFKkhnuIw1xBYzxD11v0UtP16N+gFupWvF9YO83/mxNSCe2pGFraeuVNgpnnLQEZdsygM91Wh1/DJX6eZsAveaoLu9csqJjjVI6a6xJRfgOLQqba9aMppQC17XakZ+s/cyS70WlTxwrrhzz73lJJBDt9ztx+ADMXk9CzY2RTDqqEt0cq3pBwWkmhNjfvhK/F4e9kRlqxv2aDmqkzq+dmms1iy/wrT38FJnVCuhLMkXWqJyNS4a0k35paVtx0oDHROiPIGhpNYwkBXQpEa4ikOcw2B9QxRv/zvPBYE69w8qRxZUbXC1YA7ZQKmGMx9l2Lxv+61MaJDNcsAQ8WzKAz36AepaDljJ5OcyibN6dNIsVl8t+MivttxifHfMrYtapcRYQyKKdvCk8Tpl+4b4F8Z03vVV1KVRvO+l5SOF+fvx434FMbrs1710N+/itF8C2Jg6jN+Zeg1TMm55HNxsGUXD00qeSoyN0OZUlm4MTn5Cn7s1wTPN1DuItJQGY3tZ2rcjZXXmvrztgOFgc5p9fAGhpNYwkBXQpEa4ikOcw2BVYioyemZ8J+5CwkpGajo5Yw9EzoW+SqpBtxP30zAawtCkJKRhareriwTsIuDZZa+Ucsqexbuvebtx8moBJRwscfRjzvDzvbp8nw85kGv5/SKTm3Gyw3Qt2UlHmwFj0I0oIa9rhQ4oZFxeGNRqGbWEp3VE38/xUKR3mhekSVlVMrN2hy4z98dgVlbLzA83J3smCeXmvKI3IhPZp5m1Ia188VHz9dRammaja85cDfbZDU2MG87UBjonBYAb2A4iSUMdCUUqSGe4jDXEFiFiLr60DV8/KfOPfmTF+pgaFvfIielFtwPRMSCXv+XDGqmaHmvIhViJQTPwn3erkuYve0i08Sv77SCfzX+brfE+0FqBhpO24ZHj4BXm1bA7NcKT2ZoJbAoOk217HUlJrnswBUE/XOWsd4wsrXqXmwLmjMlVqNSg70alYOjHb+kcE+OZS7c9ZP2ebs5YN27/vAt5aYE/LJ5ku6bf7EDsYnpmgmJkDtJc+EuV05rpOdtBwoDndMq4g0MJ7GEga6EIjXEUxzmGgKrAFHpCwdlxb4UkwhXB1uEfBQId6eia0urCXdKHGYj4pBNshCfhfuFOw/R7TtdPem3A6ri0551FZOp27d7cSH6IXy9XbFrQgfFxhGMLbsO+qT1p7D2yA1QZbLTQd0US26oxXVkrjOePpM+3XgG5PJOrZyHE8sNoJbs+kOXH2Gl7ZztbREe1FUxTyFzrRlz4W6u+WppXN52oDDQOaHPGxhOYgkDXQlFaoinOMw1BFYBou67dBf9l+jchQf6V8Y0iTGY5sA9NjENU/8+g2kv1oN3IfXZtY2G+qV/Fu70xbrTN8HwdLHH680r4vXmyrmeT95wCr8evsEURlnjPV0d1K88jUpojr1uKlXlhmVUKemCPRM7mmpYWeMcv34PZ28/QL+WlWX1M5bYnLjTpSuVy9xw/CabBuFDRrpPcfPXS9f3FKKwqnrlPIxVtar6mxN3VSlChcLwtgOFgc4JZN7AcBJLGOhKKFJDPMVhriGwChCVsubuOh/DfrNrfHvJroSmxp2SkPX9ORSX7yahdpniWDusFUq4CKPM1KuvKNwpq76TvXJut7nzXXf0Bj784xT75y+Dmqm2LJOp8VFivKIwV2JMU/CkihX1pm5BakY2utcrgwX9m5piWFlj0LnX84cAKX4vAAAgAElEQVT9iHmYxnItfN6rvsm8hcyNO5XLHLXmGLaeiWY6U8u5v/9SLN5acojJ9MXL9U1+cSJrARlAbG7cDRDZarrwtgOFgc5p6fAGhpNYwkBXQpEa4ikOcw2B9YSoV2KT0HH2Hva/HWuVwtLBLSRPxpS4R91LRr/Fh3AtLpnJF1C9JH4e0EwkhJOMFj9CU+L+LKkv301E4DfBjGRUx2qY2K02v0kKTlbxuR55N5F5fFAb27kGxnauqTrkycNp2IowlghzaJuq+KSHcmEjT05eDXs9LTMLQ5frKnVQa1ixBFYPbclKLJqr6efAeK1pBcyysBwYasDdXNiqfVzedqAw0DkhzhsYTmJZxQe5ErqyFJ7iMNcukkF/n8Gyg1fZBFa83QLtapaSPBlT4X4tLgl9fz6Em/d1ZYXoIuGnt5qa5JVWsjKsiNBUuBelUnKnb/zZdtxPzoC/b0n8OqxVUV3E7w3UgFowN1D8Qrv9G34bI1cfY79f8FZTdK9fhvcQXPidvfUAyw5eYRULlKqMUJCgasGdMtdTGFbYtXtMzFa+Xlg2uIVZPwM6zwlGREwiavi4Yfu49lxwVgsTteCuFn2oSQ7edqAw0DmhyxsYTmIJA10JRWqIpzjMNQSWnqj0CuA/YyeS0rNQnb5kfNBOVrkeU+BOX4D6LQ5F9IM0Jnm3eqXx/ZuNFc1crE00TSe1FNzJeKYEbtvPRKNP84oo7a5M3OjgpYex+8JdUM3kU1MtL1mT6VB99khSMFeLrHLkmLPtAr7fFcG6BE/sgMolXeV0t3haNeFOJUApxOnMrQdM751q+2Bh/6awV6iUY1HgUnz8H2FRLLkgnT3FJSRWLYqnWn6vJtzVohO1yMHbDhQGOidkeQPDSaw8Nidv3Me6Q5HIiI9C11YN0bBqGVCJDKVqdPKWX/AzTAPiMDdMb+butXhfJD7ffI6JYUgcndK4n7/zAG8tPsTK2VDr2bAc5vRpaLYvZObGSy3jS8F91/lovL3sKBP5s5fqo38rZZJb6Sdr2jSmDeqXt6xkTVrCXC2yypHjnRVHsf1sNLvgoQzuaqkEcSrqPip5uZg9x4aUvS5H38bSxiWmoc/CEJaHhFoPv7KY+0Zj2Jqhgseq0Gv45C9daVJyuQ+o7m3s9FTTX224q0YxKhCEtx0oDHROoPIGhpNYeWz0v/Dn/qe7kx2q+bihWqncP67sta6il4v4os0bADPxE4e5mRRvxLCUHKnD7N24EZ8CD2d7hE4OhLODvMReSuIeHpWA/r8cYu7L1KjW9Ve9/czyRcwINVtkVym4k0tq4+nbkZaZjefql2EhCUq0gxGx6LtYl6zps1710N+/ihLDWD1PKZhrUUltvtqFqHspaFypBP4cGaCKKdyIT8aL8/azF1nKs1GrTHGzyaVG3G8npOC1BSEMN2rL326B9jJCs3gp8/TNBPT4YT9jN7FbLYzqWJ0Xa7PzUSPuZleKSgTgbQcKA50TsLyB4SRWHptp/5zB0gO6eNaimr1tMeZOVq0U/ckx3n3c4FvKVVIN5qL4i9+bTgPiMDedrnmNtO3MHQxbGcbYvdveF5OfqyObtVK4U5zhoF8O42FaJpPprVaVMP1F02Uulq0IK+sgFfe1h6+jqrcrmlb2VCxuNiktEw2CtiL7EfBy4/L49vVGVoaGaaYrFXPTSMNnFArx8QvaxphRdnSK7zZ3o4ut3j+F4NxtnRv3+C41MSawhtnEUivulJfk9YWhGBNY3WwZ1CnDfP2grawCQOc6pbF4YDOz4cR7YLXiznueWuTH2w4UBjqnVcAbGE5i5WNz5dZd/LnzIEpUqoXbidnMFYmy7dKtMH2JktJ8ijvqjHYfnfFOL+70s6yHk3CXl6JAE9OIw9zECucw3JuLQhESGcdepPd+2BHlSzjL5qoE7qGRcaCyb8npWUyeIZS1+IU6Yt/LRke5Dkrgboy0z83dxwyayiVdEKzSOtbGzE8NfdWGOQ+dHL0aj1cXhDBWavC+oLwNo389js2nbjOZutYtzRLXmdPtXs240+WcqxkzuRNGry04iCNX78HbzRFHPg60mM8pNePOY+9rmQdvO1AY6JxWA29gOImVj01hG5tq41KJJEr6RAZ73p+YJFY+REqjODF6YX/sLq8z4quUdDVrNk8pslsyjTjMtYUuGTNk1FB7vkEZ/NjPMPdj3rjvvXgXw1YeZS8S1Kh01oSutSzmS4+2Vknh0vLG3Vi9fPJXOFaFXmdsjn7SmX1ZFo2vBtSGOY/ZrQy9hik5McS/D/dH8ypePNgazGP+7gjM2nqB9a9Z2g0bRgaYtZQYyaEl3DOysrE/IhYda/kYjIHcjl9sPouf911h3fb/ryMqeLrIZaFKei3hrkoFKigUbztQGOicwOINDCex8rGRu7Gzsx/hzoNUncHOjHfdizv9yc3cXJSclEWzoqdLzkt7jgGf8+ru5epQVHfxeyM1IBdzI4cT3Y3UwId/nMS6o1GMyx/D/dHMwC+mPHHfcTaalTtKz9IZ5+Z27TRSxRbd3RDcE9My4WRno4ir+4ZjURi37iTT+aL+TdG1njpLZWl5URiCudrn+/Gf4Vh9SHexcyqoq1lD6yip4pDlR/HoEUB5e/4e3QZVvM2fUV4ruNMD0Og1x7HjXDS+6t0ArzevZJLlR94Oo9boyvTN69sYPfzKmWRcpQfRCu5K60GN/HnbgcJA54Qyb2A4iWWUgf4sGR6mZiAyx2B//PKehKuxSciU6C/v6WKvF+P++PWdktSZI/OnEjo3N09xmJsbAenjUxZc/y93IT0zGw3Ke+Dv0QEGv1Dzwv349Xss6U/unv74+Tp4p52v9EkJSpNqQA7uZ24lsFfBgxFxWDq4uSKZjunzoMPsPUwHw9tXw6TnaptUH9YwmBzMtaKP3j8dZHW1KbznwKROZhObvtu8PP8Ay7lBycipvnc7MyQ9K0gBWsGdcHxjUQgysh6hopcztn/Q3iRelTfvpyDgy11MdUMpHKtHXbOtI54DawV3nnPWCi/edqAw0DkhzxsYTmIpZqAXJh+5MlFMe95re47bPH3QPUjVJZYqqjnY2rAERrlx7rlu8+RCb+64pqJkV9vvxWGuNkQKl0e/LBWVLHulSQWDheeFOyXbef+3Eyz2cnqvehggMnEbjIkpOsrBnc7kznOCmViDWldB0Iv1uItIsbvNPt+BuKR0tKjihXXD/bmPYe0M5WCuBV2R5x4lF0xKz0LnOj5YPLC5WcSm2t5knEfG6sqGqe1yUku4/xd+G99sv4gVb7dAOQNyqhiyAOjsaTFjJ+4+TGPJMNePaG0IG9X10RLuqlOewgLxtgOFgc4JMN7AcBLL5AZ6YXLTYUlf0nJd5fXj3emmk9zHpDRKRqcz2MmA1yWoo0R1lLxO1HR/WoPiMJeyqsxPQxdbVFaIQkcoTvfApI5wtJNXWk1/FjxxJ9lCLsep5uXI/GipVwK5uHeavYcZIPRSSXGaSpyhQ5cfZe6tTvY2CA/qJkp4cl4+cjHnPDx3dtfjktFu1m7Gd0yn6hjftRb3MYpiSKUuhy4/gt0X7jJSqkJAl6ZK7I+iZCns91rDnT5H7G1tDJ2uQf3eWXEU289Gw9HOBqenWcbZozXcDQJOo51424HCQOe0EHgDw0ks1Rjoz5pPSnoWrsQ+jm9nr+8xiYiMTcxLSlWUPtwc7R6XhWOGu85lnsrFOdiZ9kOhKFlN+XtxmJtS24aPtfHETby/9gRjMLZzDYztXNNwZkYmEKIasvXLexg1vuhsHg3I3e8z/z2HhXsjmbCb32uDeuX44/7jngh8vUWXYIvCNvwqlDCPcix0VLmYq10NW8/cwbs5ZSbn922CF/zKmlzkr7ecx497LrNx/Sp4YN27/iZxy5YzUa3jfvbWA5bXpFFF5c4D/eR+/4xugwYV+J9vcjDjQat13HnoQK08eNuBwkDnhDRvYDiJpQkDvbC5kqvbrYQUnbt8TCIi9JLVxSamSVIRxbJX8nJ5qqZ79VJu8HCxl8RDy0TiMNcGei/NP4ATN+6Dwjso5rJUceOyXRuK+6K9lzHj3/OY0qMuK6MmmrY0IBd3/XJW7wfWwAddjLsYKkhbVJ7vjUWh7FdTe9bF4ACxrniuKrmY8xxbCV5zd1zCtzsuMtY7x7dnF+2mbP+cvIUxvx5nQ3q7ObCkcKZyy5YzTy3jTnHpg5ceZh4Jv73bCrXLuMuZumTagxGx6Lv4EKNXQ7k+yYI/g1DLuPOYv5p58LYDhYHOCW3ewHASS9MG+rN0kJCcgcuxT2eXp3Jx5J4mpdGHry9zl3/sMk+GO7l7mrO+qRTZpdKIw1yqpsxHd+z6Pbzy40EmwCtNyJWykdHCGIJ71L1kBH4TjLTMbOZ1sntCB4NqsBstvGBgsAbk4k5nZYsvdDHidcu649/32xo8dmEdyUOqftBWdi73bFgOP7zZmPsY1sxQLuZq19WIVWH47/Qd5pZ8dnp3kyaMpcSJlKCOykna2xbDmndamb3EW2F4aRn3Odsu4PtdEWxqFNJFpfQo7xDvRsmM/aZtYyGUvD5becsol5+WcZc7V63R87YDhYHOaQXwBoaTWBZroBemH8qAfZ0lqcup5x6TxF7eI2MSWSZWKY2+GOiS1D2OcSeXeV9vNzg7GB4XLGVs3jTiMOetUf786LWGXm2obRrThot7uaG477kQg/d+PY55fZuImHP+UCvO0RDc9Uv7KVUvuOcP+xF+M8HsWbkVB8AMAxiCuRnElDxkx9l7WMgbuZbT67WpGlXReHHeAVBOHGozXm6Avi1NUxLMkDlqGXfKSfTJX6fzSunRowglkKSfvFvXb4NxMToRlGR41/gOvNmbnJ+WcTe5skw8IG87UBjonADkDQwnsazOQC9Mb/SBQNk8mZt8jss8GfFUKi73A1mKzukDRGe4Py4LR9nmS7mpM0mdOMyloGo+mjsJqSw5HJUx45nl2hjcKXuxh7Plh3+YD3XlRjYEd0qiRMmUqAX1rItBCrigT914GstDrrExDn0UiNLuTsopwco4G4K5WlWUnJ6JelO3shfPPs0q4OtXG5pM1MX7IvH55nNsvLdaVcLnLzUw2diGDKR13CmEcdy6E/jrhO5y2tfbFb+96290eNeTutS/gDz5aVfNhzZqHXdD1rpW+vC2A4WBzgl53sBwEksY6BIUSV8Kcmu652aZZ8Z7bBKrSS2lFXeiJHU57vI+riBXeTLkKf7d1JlL9eUVh7kU9MxHM2vreczfrUtG9FO/JniuAZ+ESFJwpy9IPwVfRt8WleDp6mA+JYiRuWlACu5PDpaakYXG07cjJSMLAdVLYvXQVtzkyWWknwSR5zrnLqgGGRqCuVqnefz6PbycE+5j6nwFdIm/MvQatpy+w+qdqz25rCXgTpndR64+xjKtU6tdpjh+G+bP1Yhec+g6PvoznPGnMm9qqWNv6B60BNwNnbva+/G2A4WBzglx3sBwEksY6EYokmImb96jJHU57vIsSZ0u2zzFbEppdjbFULkkJanTGez68e7uTsq/UorDXApK5qEhw8h/5k7cS85grn3BEzvAjlMZmqJwp7U9af0p/B4WhQblPbBqaEvxam6eZcB11KJwL2ywYSuOYtvZaNB5FTalC/e1cCM+GW2/1pXOeqdtVXz8Ql2u87ZmZoZirkad/Xr4OiZv0BlTv77TCv7VSppcTLq41EIOGkvBnT4Hhyw/ggMRcQzrxpVKYNWQlnB1tOOCPWWLf/77fYzXuC418V5gDS58zcXEUnA3l/6UHJe3HSgMdE5o8QaGk1jCQFdCkQDuUU33PMNdl2We/k3x7xJz1DFXLn1XearnTkZ8WXcnbl8QxGGu0ALgwPa3I9fxv/W6L6OTn6uNd9tX48BVx+JZuNOrxfh1J/F3Ttw7JUtcO6wVqvsU5za+YGQeDRi6338/egMT/zjFhJ77RiP0alSe6wTodbLFjJ0szKhpZU+sH9GaK39rZmYo5mrUmX4oxPEpXRT37LmdkIIy7k6qqm8uFRdLwj0pLRP9lxzCsev32fRbVyuJXwY151LaLjMrGw2CtjEPoU61fRhfLTdLwl3LOBQkO287UBjonFYIb2A4iSUMdCUU+QyeaZlZoEzyuQY7xbtH5BjvyelZkqRxtrdlCU30Xebp75S4zsleXpI6cZhLUrnJichgeW7uPpy/8xCEd+jkQK5ufYXhTiEbY349hq1ndC6Fpd0dmUszXQ6Jpn0NGLrf45PS0ezz7exy8YUGZTG/XxPuyhi+MgxbztxhpQTDp3WFo528s4y7QBbC0FDM1Tj9PgtDcPhKPDOaQz8KVFREMs57/nCAGYNf9fYTCWAV1XbRzCn3CZVjPHf7ASPuXKc0fnqrCZcQwdx15eXqgLBPOmvyQiZXg5a034teFdqi4G0HCgOdE/68geEkljDQlVCkATzJILvzIDXPRV4/yzz9v5RWrBhQwdP5seFeyo0ZVvQKTx88VFP0ySYOcymaNT2Nfn1WJRISFYQ7uRJSCaPdF+6yCZNb/Zp3WqJySf7lbUyvUTEiacCY/d5nQQgOX42Hq4Mtjn3ahbsBvWjvZcz49zwDasPI1mhSyVOAxkEDxmDOYXhuLOgzsuG0bXiQmokOtUqxOHAlG73Y7rsUy4aY0qMuhrSpquRw3HlbCu76iolNTAMZ05QTiFqvRuVY2VFbm6e/28hR6Mx/z2Hh3kjWZe/EjqhU0kVOd1XRWiLuqlKwEcLwtgOFgW4EGPpdeQPDSax8bMTGVkKrxvOkWp1UVib3pT03zv1qXBIysqTVdC/hYv84vj0vWZ0bituk48C+vWjfvj1KlChhvLCCAxcNDF1+FDvO6V6xd4xrz/0F+8m9TokQKVN3bpwf5UWgGr9KlLXhoiDBxCANGHPG/7w3El/8q8tivWxwc3So5WOQDIV1Ono1Hq8uCGG//uSFOhja1pcrf2tlZgzmatLZrfspaP3lLibS8PbVMOm52oqKF3k3kZ2JFTxdmNuzsUagosIWwNxScH9yarQOXlsQkldd580WlTDj5fpGvXr/F34bI1YfY0MpEcJjSuwtFXdT6lCpsXjbgcJA54QUb2A4iZWPjdjYSmhVOZ4UO3WDktTluMjrXt11hjy5g0lplPTJ2zEb9Sp6o3b5Enpu825w45SERYocguaxBq7FJaHD7D2slBBllKXMsryb/l63dXLFkGVH2esoNfK4IONclLrirXXz8zPmjL8aq1uX1Pq1rIQvXuZbZoo8OBoEbWWXjs83KIMf+zU1v8IsQAJjMFfT9Heei8aQ5bpyf6Yyoh6kZrBzWItlJS0F94LWIJ1Fry0MYTkrqA1r58vytBTkJShlDVM4g/9M3eXP4IAqmNqznpRuqqSxZNxVqXAZQvG2A4WBLkP5zyLlDQwnsfKxERtbCa2anie5AlLMqO7FXZdVPvdP1L0U9oVDSqM4P6rhnhfrzjLNu2o2aY6UOauBZvo/Z/HLgStMlKWDm6Mj55dK4pu71xu3DMB76y/gxA1d8h0qY0MZ273dHNWgCiEDZw0Ye8Z3mROMSzGJLJPynyMDOEsHvDT/AFuLpogx5i68Shkai7lapjV/dwRmbb3AxNn2QTvULM0/aaVWMrRLwcRScC9srhfuPMTri0JwP1n3GPHHcH80q+IlRTUF0rScsQPRD9IUO9sMFkxmR0vHXaY6VEXO2w4UBjoneHkDw0msfGzExlZCq+riSa9U5C7PDPaYJJy7GY/wa3cRl26LVIk13SkG1Ze5yecY7z66WHdyixaJnYzDOzEtE/4zduJhWiZ8vV2Ze7sSJX1or2/eEYyVNzxwPloXz0fl1Oi1XtQ8Nw5DNfc29ow/EBHLXhPrlXM3+LXqWfrRv5w6OKkTypVwVrM6NSGbsZirZZKj1xzDplO3WRLBM9O7cUkOpj838lx6d2UYvuzth0YVtR/uZSm4P2v9nbxxH28tPoTxXWtiUIBxOQLeXXmUJUel+vang7qpvs59YXqxBtzVcibJlYO3HahpA/327duYPn06Nm/ejOjoaJQsWRItWrTAwoULUbp0acm6pfjcvXv3ol+/fli1apXkfvqEvIExSIgiOomNrYRW1c0zF/O27dohGY66F/cnXOZz3ciKmgnlaankpV/T/fHruzD6itKe7vfLDlxB0D9n2d+n96qHAf5VpHWUSRURFYO3lhzGnRRdcp0mlUpg6eAWmnTllDl1qyZX+xm/6dQtjF5znGE0r29j9PArZ9V48Zi82jGXOsfOc4KZV1jdsu749/22UrtJoqMyXq/8eBAXoh8yw+yvkQGoW85dUl+1ElkK7kXpNy4xDSU5eHz9tOcyvtqiS1K5cVQAGmr0ksZacC9qXajx97ztQM0a6JcuXUK7du3g7OyMQYMGoUKFCrh79y5CQkIwa9Ys1KhRQxJ+K1aswMiRI5GUlCQMdEkaE0Ra0oCUw5zi2SlhTq67fG6yOioXlyWxqDtlkX+qpnspN5T3dNZc8h2l8CX3yk7f7MHVuGQUd7JjpdVcFcgDQAnhXpi7F1fiUthUWlb1wpJBzUXOAaWAVRFfKfvdnOJaUiyoOfWoP7baMZeiJ/L8qvvpFlbm75Um5Vnmbl6Nzt0Rq8PySks+V5/yHzRRxEOEl8xS+FgC7lLm+SQN5eYJv5mAxjKrQIRcjsObP4cydtNerIeBrZW5HDdkTnL6WCvucnRkLlphoAOgGNyWLVsiKysLwcHBcHMzrIYvLfRatWrhgw8+wOTJk4WBbq5VLcZVTAPGHOZUM/t6fPLjGPeYXNf5ROaiLaXRawW5cuvi3F1RjZWFc2N13l0c7KSwsBga/SRI77Stio9fqKvI3PRf6f2rlsAvg1tprsavIoqxAqbG7Pcn1UN5LiizNe8EWv4zd+J2Qip7waKXLNGM0wBPzI2TxPDep28moMcP+xmDj5+vg3fa8cvwP3fHJXy74yLjTTk41o9orcjFqOGzN6ynJeAud+ZpmVkYu/YEq4CyqH8zdKwtvdIEeVFQkkq6BHq5cXl8+zq/SyC58zCG3hpxN0ZfpuwrDHQAu3btQmBgIP755x/06NEDqampsLGxgYODgywsRo0ahe3bt+P06dNwdHQUBros7QliLWhAicOcLsjuJqbl1XTPfXGn2qU37+tebaW0ch6UpE5nsOt+uqJ6KTeUKu6o+deNguZPsXT7I2JBoQLBEzuiopcytVipjuzhK/Fwtn2EHe+1QvnS3lLgEDQWoAEe+z3qXjLG/XYSR6/Fs0sk3vWhR60+hs3ht2FvWwzhQd3gZG9rAZo33xR4YG4+6XUj/370Bib+cYr9feWQFmhboxQXkbaduYNhK8MYLypF+s/oNoqdu1wElsHEEnCXMV1GuvtCDAYvPcL+bogXWvfv9uL8nYeo6u2K3RM6yB1eFfTWiLsqFC9BCGGgA/jwww+ZG/uePXvw0Ucf4eDBg+wLPb2qz5kzB/7+/kWqMiwsjMWrb9q0Cc899xzrL2LQi1SbINCYBkx9mJN7NRnquSXhdMnqEhEZmwR6kZfSijvawTfHYM/NMF/dxxWVvFw1m9jlYvRDdP12L5t+t3qlsbB/MymqMIgmIysb60IjcOL0eXz8ejuUKKH9hEgGKcIKO/HY7+Ru3OSz7UhOz2LhEb+9W/TnqRxVL9l/BZ9t0uVh+H24P5obkZlZzriWSssDc3PrRj954NFPOnOpMkFn7svzDyApPYt5glCCzIDqlnNZaQm4G7LuFu+LRPSDVObi3qm2j6wLvknrT2HtkRts2BOfdkEJF3mPeobIy7uPteLOW49K8BMGOoCXXnoJGzduhLe3N9q2bYs333wTt27dYgnjkpOTcfjwYTRoUHgN1+zsbLRq1Qply5ZlfKjJMdApOR390W/nzp3DW2+9xS4NGjZsqAT2RvN8+PAhaAE1adIExYvzL2FitICCAXcNqAVzimW/8yCNxUVfiUtmP6/S3+NTcC+njEpRk7ctBlTwdEJVLxdUKemMquyP7u/uTup2l/9sSwTWn4hmU1zctz6aVfIoarpG/V4tuBs1CdFZtgZ44T518yUkZ2QhsGZJdK/L5zUzdzLhtx6i/wrda+nYjpUxqGUF2fMUHR5rgBfm5tTpsF9P4/C1BJR0tcfOMS2MFuVBaib6LT+JG/dSGa+JgVXRr7llJSS0BNyNBlomgw0n72D6f5dZr/l96iLA11MmB/OTC9zNj0FhEpw8eRIdOnQAPQCTnWVs02SSuM6dO2Pnzp3MzX3Hjh15Oti3bx9LHPfaa69h3bp1hepmwYIFLO787NmzqFpVV7pBjoEeFBSEadOmFcj/m2++QbVq1YzFRfQXGrAaDSRlADGpQHRKMfYnJkX399hU4BF0WciLasXtH6G0M+DjTD8fobST7u+ejmAu5eZsNL+px2yRkV0M5V0eYaJfFoqZWSZz6kOMbd0aIEea/x22ReajYvDzysaQWtI8a6xba5Y7+0ePgI+P2iIpsxhqeWRjZF3j1kPWI2DRORucT7BhSmtRKht9q2WLM9dyl5Dkmd1KAr46pbvM714hC89VfCS5ryAUGihKA5cvX8b48eOt20Dv2bMnc01ftmwZBg4cmE9nVapUQUpKCiu7VlCjTO+UGG706NHsxT23yTHQxQt6UctU/F4tGtDybStLUncvlWU9p5d29uJOL+/xyUhOl/YlzsnOBpW8dK/tVbyc4etNP11QycsJziaKff0lJArfB19jS2La89XRy096CUg562hvRDx7mXdxsIWWcZczZ0GbXwNawX3gylM4efMhezHdMbq5ReacMNXa1ArmhenjbmI6uszTxRUPaFEO4zoZV+96zq4rWHH4FuNXv6wblvRrAEc7nbFuSU3ruJsDC/Lka/tdKPv+QK/n9IqutSZwVy9i4gUdwPDhw1mt8//++w/du3fPhxa5rpMbd3p6eoEojhkzBmvWrGGu6FSiLbdRWbZevXph9uzZzPUXTfAAACAASURBVHVebtwm79gDJZagiF1RQqvq5mmJmFOSuugHaXrZ5XUl4ihZ3Z0HOpfGohq9YJcv4ZyTXZ6S1D2u6e7t5sDNYKB48HZf72ZZq0u6OuDApE6yYuaKmkfu76/HJaPD7N2slNonPeqia/XirMJF+/btZZ9lUscUdOrTgFb2+4x/z2HR3kimwH0fKpcwUX0I8ZdIK5gXNvPgi3cx8JfD7NffvNYQvZsaHvLw1/GbGPvbCcaLko1uGtMGpd2d+CtdBRy1jrsxKrx1PwU7z8fg+PV7GN+1Fvssl9reWBSC0Mh4eLrY49iULtw+66WObyydNeNurO6U7s/bDtSki/uSJUswdOhQ/Pzzz+ynfqN66NSioqIKxCI3fv1ZQFECugkTJsjCkjcwsgaXSCw2tkRFWRCZtWGemEZJ6shgT2QGe27CuquxyUjPkvbqTmWl8mq652aZL0VJ6lxgZyvvJWbTqVsYveY4W1HvdaqOcV1rKbK6vth8Fj/vu8J4Lx3UHI3LOAgDXRFNq5spz/1OJY0ORsRh29lo9PQri9YcE2xtOX0bw1cdY8qc+0Yj9GpUXt2KVbF0PDE3xzQXBl/GzP/Os6E3v9cG9coZlp8jPCoBry44iLTMbDjY2uDXYa3QtLL2YoylYqB13KXOsyA6/fPj+zcb48WG0vMLfPnfeSwI1sWh75nQAVW8XY0RxeR9rRl3kytb5oC87UBNGuixsbGoXLkySwR34MAB2NrqyrSQ2zu5vw8ZMgSLFy9GRkYGKCbAw8ODJYSjFhISgps3bz6ldopbp4Rz7733Hvz8/FCzZk1Z0PAGRtbgEonFxpaoKAsiE5jrwMzMykbUvZSnarpH3E3EfYlJ6qgsVOWS9NL++LWdysNRTXd3J/sCV03vnw4i7No9VlLqwP86wUeh1xyq8bru6A3svXgXSwY2x4MHCcJAt6B9LHUqPPf7jfhktP16Nxv6zRYVMfMVP6liFEkX8yAVLWbsZHQD/Ctjeq/6RfYRBAVrgCfm5tDx2LXH8deJW7CzKYYz07vB0U5+2b27D9Pw4rz9zFOJ2te9/dCneUVzTMdkY2odd2MURVncW+acH4MDqmBqz3qS2W05fQfDV+lK7333eiO81Fhbl4PWjLtkkM1EyNsO1KSBTrqfO3cuxo4dy4zqPn36MKP7+++/h6urKwvQr1ixIq5evcqSwFGcOsWrP6vJiUEviA9vYJRYX2JjK6FVdfMUmBeNT3xSOnttzy0Jl1si7sa9ZFACIymttLvjY3d5MuB93FhZuSHLj7LuLzUqh+/eaCyFFRcagTsXNWqOCW/cc+sGe7s54vBHgbDhmHGxzVe72KVZ/fLu2DSmreZ0rRaBeWNu6nnlrrFapYtj6wftZA9PccXktnzk6j3Wd6B/ZUyzggsfreMuG+gnOrSeuRO3ElLRqGIJ/DUqQDI7feN+UOsqCHpRunEveRAFCa0ddwVVazRr3nagZg100uSqVatY3XPKxu7i4oIuXbpg5syZ8PX1ZYoWBnr+9SY2ttH7T3MMBOaGQ0b1oK/GJeFyTG5d91wjPgkpGVmyGLer6Y1mlb10RryPK6qUdFUkFj1XKIG7LHgshpg37nO2XcD3uyKYftaPaM3VZfi9X4/j75O3WI3q8KCucHFQd6lEtS4S3pibcp50iVn30y3IzH6EXo3KYa6Bl5gbjkVh0oZwNKlUAiuHtIS9zFAkU86Z11haxp2HDkatPobN4bdZOEP4tK6yPC/8Z+5k3hYNK5bARhnGPQ+5jeVh7bgbqz8l+wsDXUntGsGbNzBGiFJoV7GxldCqunkKzPnjk81quqfmxbnrXt51RnzMwzRJA9JDZEUvl5xX9xyX+Zx4dy9XB0k8iIjckMt4OD31hVTgLlmFFkXIG3eK6+05bz/T0fD21TDpudrc9LXswBUE/XOW8Vs7rBVa+ZbkxtuaGPHG3JS6O3f7AZ6bu48N+b/utTGig+Elak9F3UcFTxfIOT9NOVfeY2kZdx66WLwvEp9vPsdYbRjZGk0qSc83MGJVGP47fccg456H7MbwsHbcjdGd0n1524GafkFXWtly+PMGRs7YUmnFxpaqKcuhE5ibFssHqRksMd38XRHYfk5X6pHc3+MS09krkZRG2WXZS3spN1Qnoz0nwzx9+aTXxtxG2ezpy21CSgbebeeLQQGPyxMJ3KVo2vJoeONOa6z1l7vYaxPlXtg5vgM3pekb/xO71cKojtW58bYmRrwxN6Xu/jwehQ9+O8mGXDq4OTrW8jHl8JoeS8u481B82LV49P4phLGa0qMuhrSRXp5PPzHhnyNbo7EM456H7MbwsHbcjdGd0n1524HCQOeEGG9gOImVj43Y2EpoVd08Beamx4dc4wO+3IW4pHSU9XDC3g87MiHotZvKweVmmM+NeX+QmilJSHLlq+pN8e26F3eKvfxxjy4bbd+WlTDj5QZ5fATuklRqcURK4D7lr9NYGXqN6WrX+PbwLeXGRW9UgrBB0FakZmSjcx0fLB7YnAtfa2OiBOam0uHMf89hYU65vdDJgcwbSGqj80//wlJqP0uh0zLuPDCgz1k6PzKyHqGHX1nM69tEMtvDV+LRZ6HOuJ/asy4G611uS2ZiJkJrx91Mapc0LG87UBjoktReNBFvYIoeUT6F2Njydab1HgJz0yP4+9EbmPjHKTbwh91rYWSHwl8G6YUyNjH9qezyZLzfvJ8iOUldKTdH1CpTXPfiXsoVpZ2BO5dOomfndvD0lO76Z3ptiRF5akCJ/U6VAQbk1Kme/FxtvNvecDfkJ+dKX5LpyzK5JYd90llzNYl5YmcoLyUwN1QWuf36LzmEfZdiUcLFHsdl1qT+ast5UBnLxhU9MfOVBnB1tK4cBlrGXe46KYy+17z9OBmVwOqgH5jUSTLblPQs1A/ayi65jcl9IHlAjoQCd47K5MyKtx0oDHROAPEGhpNY+diIja2EVtXNU2BuWnzI4H7h+/04e/sBnOxtEDIpEJ4yYsr1paUvEVdi9RPUUcK6RETGJrJXRynN1cE2x2gnV3md8U6v71QuzsFOXk13KeMJGvNqQIn9Tom8mn62HQ/TMtGssif+GNGa2yT1axLvntCBeYiIJk8DSmAuTwLDqZt/sQNUIs3ftySrWy6nUeb20EjrvdzRMu5ycH4W7dSNp7E8ROfdc/jjQPgUl+6B8fzcfexzunJJFwRP1Hm5aaEJ3NWLEm87UBjonLDmDQwnsYSBroQiNcRTHOamBetQZBxeXxTKBuVdOzp3JpSkjjJgbwq/zf6L3IMfpmYy9/nYRGlJ6sg1tFJukrocl3kW817KDR4uBdd0N60mxWiGaECp/T56zTFsOnUbxYoBRz7uDCq7xqNtPxuNd1boShF+81pD9G5agQdbq+KhFOZKK5HOqmaf72DDyK1lTX3IPf7A5ViU83DGogHNlBZXdfy1ijtPRf51/CbG/naCsVzUvym61isjmf1Hf4ZjzaHrjP7YlC6aSS4ocJcMsckJeduBwkDnBCFvYDiJlY+N2NhKaFXdPAXmpsVn+MowbDlzhw267YN2qFm6OHcB6MWJYtzTs7JZDel/RrfJcw1OSM7A5dhEnLoag30nLiLL1RvX76fhWlwyc+eT0rzdHFicsS5Rna6mOxnu5EbIsw62FFkEjTwNKLXfN564iffX6r4If93bD32aV5QnWCHU+kZav5aV8IVeHgUuA1gBE6UwV1p1ByJi0W/xIaPXFHktFaObIytrWsWdJ0zX4pLQftYexpIqAFAlAKlt3dEb+DAnFG3poOboWFsbCQoF7lIRNj0dbztQGOicMOQNDCexhIGuhCI1xFMc5qYDi5LAtZ+1G2QHt6nujVVDWyoy+JztF/H9zkuM99w3GqFXo/JPjfMk7uSmfD0+CRH5aronITImkbkuS2mOdjY5hrt+WThX+Hq7wdnBVgoLQaOwBpTa71QpgNzcqRJB5zqlsXggvxdL2jN0gVS7THFsGdtOYQ1ZHnulMFdaU/plsv4eHQC/CiWUHtKi+GsVd54g0OVM0893ID4pHa18vbB2mL9k9peiH6LLt3sZ/XuBNTCuS03Jfc1JKHA3p/afPTZvO1AY6Jyw5g0MJ7GEga6EIjXEUxzmpgPri81n8fO+K2zAJQObIbBOae6DU+ZaKntFX0hyM8Tb2z4dSy4Vd/qCQy/yEVTLnTLMx9DPRFYqjpLUSW30uq4f465LVucGeo23xtctqXrjTScVd0PGzU3oRbkVjk/pyu1SZtxvJ7Dh+E1QBcFTQd3gZmXJvgzBQr+PkpgbK9uz+k/4/ST+CItiuJ+Z1p3belJSZjXx1iruvHU4ZNkR7DwfAxcHW5ya2hV2BXweFjQmhYo1nLaNXVC3q1kKK95uwVs0RfgJ3BVRKxemvO1AYaBzgQXgDQwnsYSBroQiNcRTHOamASspLROtZu5kseBVSrpg1/gOiriDrz50DR//eZpN6qPna2NYu4IzavPAneaUl6SOGe66hHWRsUmgF3kpzd3JLsdwz+8yT/HvBV0sSOEpaArXAA/cC+O+IuQqPt14hv1abrznszCjEm5Uyo3a6qEtEVDdW0AsQwNKYi5DDNmkPX7Yh9M3H8C3lCs7L+W0f8Nvs/AhX29XRc5ZObKYi1aruPPW17xdlzB720XG9t/32qJuOXfJQ/RbHIoDEXHwcLbHiU+7aOIyWeAuGV6TE/K2A4WBzglC3sBwEisfG7GxldCqunkKzE2Dz8qQq5iSY7woVVeVbvw7zwlmBjJlZw/5KBDuTgUndFMSd4plv3kv5XFpOHp9j0lir/D0si+l2dkUY9lzWZx7Tow7/aQv64XNSQpfa6dREvdb91OY9wa115pWwKzXGnJR95lbCazyAbXxXWpiTGANLnythYmSmCulw8ysbNSdupVd9L3gVxbzZdSwvp+cjkbTtzPRBvhXxvRe9ZUSU9V8tYi7EgrVz2Xwxcv10a9lZcnDzNp6HvN3X2b0u8a3ZyFcam8Cd/UixNsOFAY6J6x5A8NJLGGgK6FIDfEUh7nyYDHD+dtg5hZO7rkhkzuheCGGszHS7DgbjaE5Ga/fDqiKT3vWLZSduXAnAz2Sucvnd5m/Hp/MYvOlNJ/ijjmGe06se44RX9bdyWpfy6TojWiUxj331ZPqllM2d6oGYGwjY41cTZPSs9ChViksG6wNV1Nj582rv9KY85JTn49+/O+ErjUxupP0S5k9F2IwaOkRxu6r3g3wevNKSoioep5axF0JpT5MzQCV66tT1h2DWlcpMCdLYePqV5GY06chXmmi/ioSAnclVhEfnrztQGGg88FFuLhz0qNgw1cD4jDnq8+CuOl/YSzKcDZGmtcXhuDQlXgWs0l1Wyt6uajOQC9MoLTMLJYILDfGndzlI3Li3ZPTsySpxdneFtX0SsLpXt9dUaWkK5zsRZI6UxjoSw9cwbnbD9Clbhl0rFVKcrxnUQD3/TkUBy/rXE2PT+kiLmKKUpje77V4xv998hYrFUlt8YBm6FxXer6Ob7dfxNycJJlKVcqQoX6zkWoRd6WUlZGVbVDIFOVfIeOemla8MQTuSq0i4/kKA914HSrCgTcwSggpNrYSWlU3T4G58vgM+OUw9l68y2pEB0/oiEolCzecDZUmPCoBPefp3ICluIRqBXdKUnfnQSpzkde9uuf8iUli/y+lkd4repK7vH52eV2JuJKc6nVLkUMNNFrB/Uldzd56AfN2R7D/3jGuPSjJoGjSNKBFzL/ech4/7tG5Fu//X0dU8JR+Zuaet8Ud7XByalervczRIu7SVrRpqahkKSVE9avggb9HtzHt4AaMJnA3QGkm6sLbDhQv6JyA4w0MJ7HysREbWwmtqpunwFxZfOgVmOLCqfEuP6Uv+ftrj2PjiVvsv/4aFYBGFZ9dksgScCfXxdwkdey1PceIvxqXhIwsaf7yni72OfXcda/tutrubqjg6czt9VfZFSaPu1Zx33U+Gm8vO8omy7POujztaZNai5i/vewIdp2PARnZp4K6Sk7OReFEjaZvw4PUTEVLWWphJWgRdzXqddSaY9h86jbsbYshPKib6r2xBO5qXEU6mXjbgcJA54Q1b2A4iSUMdCUUqSGe4jBXFqxP/grHqtDrbJA1Q1uitQIZqGMepqL1zF2sBnXzKp74fXjrIidlybhTzPINSlKX4yKfG+9ORjzV65bSHGxtUMU7J0ldjqs8Ge6UJEjLZb60ivu9pHQ0/kyX+OuN5hXxZW8/KTAKGhPkHVBCya1n7sSthFTJ51muDPoXou91qo5xXWspIZ4meGp1ryulXEpeejH6ITKzHqFBBQ/JwyzeF4nPN59j9OtHtEbTyp6S+5qDUOBuDq1LG5O3HSgMdGl6L5KKNzBFDmgAgdjYBihN410E5soBmJCcwUqrpWRkoVbp4tgytq3klyC5UoVdi8fifVdYEpsuEuI1rRF3cpenJHW62Pb8LvNR91LwSNqjO6svr3tpd81XIq60u6Ni+MpdD4XRmwJ3yry97ewdUIKlJpU8MbB1FS7id/pmD0u0WLO0G7Z90J4LT2tgYgrMeepRPwt7/1aV8dlL0rOw/370Bib+cYqJs3RQc3Ss7cNTNE3x0hruSiqXzn7/mbtYWFT7mqWwXEZN86NX4/HqghAm3pQedTGkTVUlRTWat8DdaBUqxoC3HSgMdE5Q8QaGk1j52IiNrYRW1c1TYK4cPov2XsaMf8+zAb58pQHeaKGebMIC9/y4p2Zk6dV0z2+8p2ZIq+lOpe2oFFye8Z6TXZ7KxTnaqSNJnSlwp4RMTT/bztyMKdSCQi54tAm/n8QfYVGMFcUWU8I40YrWgCkwL1oK6RShkXF4Y1Eo6zDj5Qbo21L6ufnRn+FYc0jnsUTJBD1dHaQPbGGUWsNdafUbWtOcPhvqT93KPNR6NiyHH95srLSoRvEXuBulPkU787YDhYHOCS7ewHASSxjoSihSQzzFYa4MWORm3X7WHpZchuKcQyYHqip2TeAuDXeKab2VQDXdk55ymacMv1IalRqr5KWXpE7PZb6Ei2kNCFPhPpZyIpy8haaVPLHmnVZwsLORoqpn0vx6+DombwhnNPQCRi9hohWtAVNhXrQk0iiWHbiCoH/OMuINI1szLwyp7bm5+1gVgarertg9oYPUbhZJpzXclQZhw7EokKcUXRoGVPeWVQIyt3xkRS9n7Puwk9KiGsVf4G6U+hTtzNsOFAY6J7h4A8NJLGGgK6FIDfEUh7kyYP0XfhsjVh9jzEd1rIaJ3WpzH4guAchlT06G41whBO7Gw0Hx7Lqa7jkv7jkx71Qujl5bpLSSrg75a7r7uKF6KTeUK+Es6wuklLGIxlS4X49LhrODLUoVd5QqWpF0F+48RLfv9jK69wNr4IMuNYvsIwhMhzkvXU9afwprj9xg7M5M6wZXRztJrJPSMtEgaCto673SuDzmvN5IUj9LJTLVXrdU/enPSz+XTNgnnVVd/UPgrt4VydsOFAY6J6x5A8NJLGGgK6FIDfEUh7kyYPVZEILDV+NhZ1MM+//XCWU8nLgP9M/JW6Ds7c81KItJ3Ws/s+75k4ML3LnDkceQXLxZTXe9knDs7zGJeJiWKWlgRzsb9gr4pMu8bylXuDhIM1gKGkjLuJM3Q8Np25gO29bwxsohLSXp0tqJtIZ5r/kHcPLGfVBoSPDEjpLhO3g5Fn1/PsToP+tVD/39+eQ+kCyAygi1hrvK1JdPHAqtoRAbaksGNkNgndKqFVfgrlpoRBZ3tUIjDHS1ImPdconDnD/+p28moMcPuprkSsWsUdKbl+iLbFQCKOM41Qr2cZd+CSBw5497URwJs7uJaU/UdNe5zlMohNRWvoQzyFCnWuC5ZeGoRFwpt6KT1Gkd9/5LDmHfpVhWfsuaa1xLXStEpyXMKdM2xftSYs1u9UpjYf9mkqc6f3cEZm29wOg3jWmD+uWlZ+qWPIiGCLWEu9rVql8dYEyn6hiv4uoAAnf1ribedqB4QeeENW9gOImVj43Y2EpoVd08Beb88Rm/7iTWH9Mls5IbQylVGjL2dp6Lwc/7ItnL+ezXGkrtyugE7rLUpThxcnomy1CeWxIu98U9MjYJlBVdSivuZFdgTXd6ibS31cWAmxp3WqcXoh8yT5LqPsWlTOOZNN9uv4i5Oy8xmq1j26FWGeN5Gi2UyhmYGnNj1HElNgkdZ+9hLOSGMQxdfhQ7zkXDyd6G1avOXfPGyKPlvlrC3VR6pjJr9Ll54sY9fPt6I8neSMx7Z/o2PExVv/eOwN1Uq0n+OLztQGGgy8egwB68geEkVj42YmMroVV18xSY88WHEocFfLkL6VnZaFixBDZyymD9LCnJgJObhEvgzhd3pbjRi+Kt+ymIyHGR109WF5eULmlYMo4rlXRhse0V3O2Qdvc6ugc0hl/VMopmQk9Jz2Ix49fjk7nFBAdfvIuBvxxm8575SgO8qaLKCJLAMAORlvb6v+G3MTInd8eCt5qie/0ykjRGF0HNv9iB2MR0tKjihXXD/SX1s2QiLeFuKhz0ExD+NqwVWvqWlDx0nveOkx1OftoVNjbFJPc1JaHA3ZTaljcWbztQGOjy9F8oNW9gOIklDHQlFKkhnuIw5wvW3B2X8O2Oi4zp3DcaoVej8nwH4MRN4M5JkWZkcy8pHZGxFNuuXxYuCdfikliiLCmNkrixeu6srrtbTsy7K8p5OHP5Atpr3n4WhlHCxR5HP+4Mu5yXfCmyFURDifkoDp3aq00ryPYcMXRcLffT0l6fs+0Cvt8VwdQdPLEDKpd0laT6G/HJaPv1bkb7bjtfTH6+jqR+lkykJdxNhQPlNqAcB9QmPVcbw9tXkzz0N9su4IectbljXHsWYqTGJnBXIyo6mXjbgcJA54Q1b2A4iZWPjdjYSmhV3TwF5vzwScvMQpuvdoNe0Uu7O7JyLHJftqVIQ+MYW1db4C5F09qkofVBWdRz3eUpfjLXZT4pPUvSpJztbVmcu36MO/2dEtc52Uuv6T5v1yXM3qa7sPr1nVbwryb9xaowQbt+G4yL0YlMvl3jrbuUlhQwtbTX31lxFNvPRsPFwRang7pJviTadT4a5OJOF1ML3mqC7vXLSlGNRdNoCXdTAUHeZvWDtrKwIbk5Dnaei8aQ5UeZqBRSRheEamwCdzWiIgx09aKiwM2JEpMVG1sJraqbp8CcHz5UZ3XcOl2m1wlda2J0pxr8mOdwolfTwDnBeKFBWQxtW1XyC9OTggjcuUOjeobkBnzxRgw27jkE9/I1cDsxK69E3O2EVEnyFysGVPB0fmy4s5d3XbZ5KhlXjAj0mn5ptLcDquLTnnUljfMsIv0yXMendIGnq2lryRs9ARMz0NJeb/v1LtyIT0HjSiXw58gAWZqiMmunohJQt6w7PFzsZfW1RGIt4W5K/ff+6SDCrt1jJSAPfxT41JlVmCxxiWlo+vkO9uu3WlXC5y81MKXYkscSuEtWlckJeT/Uihd0ThDyBoaTWPnYiI2thFbVzVNgzgcfMn5enHcA4TcT2Kt5yKROitRK1X+R/PpVP/RpVtGgCQjcDVKb5jsVhntiGiWpy31pf+wyfzU2meVTkNLIjV334v745Z1euQctPYzr8Smo6OWMvRM7Sv5CXNiY647cwIfrT7Ff/zKoGTrVVm/JIyl6U5pGK3v9YWoGGgTpwhcotwDlGBDNcA1oBXfDZ2hYz883ncXi/VdY5wOTOoGqYkhtuRdI9cu7Y9OYtlK7mZRO4G5SdcsajLcdKAx0WeovnJg3MJzEEga6EorUEE9xmPMB6+jVeLy6IIQx69OsAr5+VV5WdSlS6LvQe7s54sCkjga7ugvcpWjc8mjk4p6ZlY2oeylP1XSnpHX3kzMkKYhyKeXGxL/RvCJaVPVihjwZ78Wd5L906pc8Gt2xOiZ0qyVJDmslkou5ufQUdi0evX/SnaHTe9XDACuvY24sDlrB3dh5yu2/+dRtjFpzjHWb17cxeviVk8xizK/H8c/JW6wqxelp3WSF+0gexEhCgbuRClSwO287UBjonMDiDQwnsYSBroQiNcRTHOZ8wBq1+hg2h99mzP57vy3qlHXnw1iPy7qjN/DhH7qXw/FdamJMoOEu9AJ37vBogiFP3Mnlk2WVz8swTy/wSbhxLxmPJCapo1wN+eq5s0R1rijj7lToSzuVPGr82XZQwrjW1UpizTutNKF7cwnJE3Ml57Ay9Bqm/HWaDbHuXX92kSOlUTyxvW0xoz0zpIylJRqt4G5qnVJVjNZf7mLDDmlTFVN6SA+7WbL/Cj7bdJb1/WO4P5pVkbZGTTlHgbsptS1vLN52oDDQ5em/UGrewHASSxjoSihSQzzFYW48WPSBTxmEqSRWK18vrB3Gv8QPudB3/24fqylNdX5DJgUaFXsrcDcedy1yMAXuqRlZuBqXlJdd/lL0Q1D5rCyJRjvp1dWBktTpucv76LLMV/F2YV4j5Da/58JdRndyalejs8NrEUupMpsCc6myPIvu4z/DsfrQdUZyKqgr3CV6VyzeF4n5uyPQqGIJfNnbD6XdnXiIo3keWsHd1Iqmz9JWM3ci+kEamlb2xPoRrSWLQLHrFMNO7ZMX6mBoW1/JfU1FKHA3lablj8PbDhQGunwMCuzBGxhOYgkDXQlFaoinOMyNB+vL/85jQfBlxmhR/6boWk9a7V45I++9eBcDcuo/80hQI3CXo33LoTUX7uPXncT6Y1FMkXNfb4T45PScl3fdC3zMwzRJSiZ3+UpeLrApVgyRsUmsz6xX/dC5TmmjLqwkDa5RInNhLldducm7KCaYYoOlNnJXJrdlekUPD1Kn27HUufCk0wruPOcsldfwlWHYcuYOyxdD1QKkVluhy8cGQVuRkfUIL/iVxfy+TaQOaTI6gbvJVC17IN52IDcDfcCAAbIno99h8uTJqFNHu7UteQNjlDIL6Sw2thJaVTdPgblx+CSnZ8J/3fMxZAAAIABJREFU5i7mbktJsPZM6AhbsiI4t/5LDmHfpVhQkmwqLUXlroxpAndjtKfdvubCfcvpOxi+Kowp7rOX6qN/q8r5lPggNQOR5C4fkwiKb6efZLhfi0tGpsSi7l6uDk/UdNclq6vg6aLIntTKKjAX5nL0Q2ELftO2gZIVdq7jg8UDm0vuTi/oO8/FsLNRhDs8VpsWcJcMMmfChcGXMfO/84zrxlEBaFixhOQRXpy3n1ULkHuRJHkAIwkF7kYqUMHuvO1Abga6jY2NwdOm0i3bt29Hp07Sb1UNHkyhjryB4S0muf1M33gSpZKvoe/z7VGihPQDi7csgp/pNCAOc+N0vfrQNXz8py5uUimXt/N3HjD3dmpd6pbGzwOaGSc0AIG70SrUJANz4U4XWY2nb0daZjba1vDGyiEtJekvIysb1+OTcwz2x9nlyW0+MU1aTXd6HfP1zs0srysJl1vT3dXRTpIcWiYyF+ZydHYjPpmFCVEzNPEffYd5ssyfHBksjVYLuJtL54evxKPPQl1CwqCedTEooKpkUT7deBorQq4x+iMfd2bl2tTUBO5qQiO/LLztQK4G+qpVq9C3b19Z2ouNjYWPjw927NghDHRZmpNHTLfQn28+BwebR/j8xdro06q6PAaCWpMa+C3kElbuPY++bWrjzdbVxRccGSjSF8Ku3+7FpZhEFgsb8lGg5LhJGcNgwu8n8UeYzj1YTvKkZ40hPsTlIGA5tObEfciyI9h5Poa5IodN6WLUXtHfe/Ry3qtROV3CuphE3LyfIhmwch5OeQZ7bnk4SlpHX7otxdgzJ+ZSgdh25g6GrdR5WMjNrC11DGuj0wLu5sIkJT0L9YO2srwxdHbMfaOxZFE2HIvCuHUnGT1dltOluZqawF1NaFi4gR4XF4dSpUoJA13hNffJX+FYFapL0EKNbrHHdakJGwXcdRWeimAvQQP0MjXj33NYeuBqHnVA9ZL4rFd9lpxJtKI1sO/SXfRfcpgRDvSvjGm96hfdSSZFzINUBHy1i8W8Nazggb9GBXAxHMSHuEwgLITcnLivPXwdkzaEM03+8GZj9GwovbxRQerXTyp29JPOoNKD1OjLd2SsLqN8rqs8lWa7EpvEXvCltOKOdvBlL+2Pa7pX93FFJS9XyfGqUsYxBY05MZc6v+93XsKc7RcZ+Y5x7Vlmf9GM04AWcDduhsb17vHDPpy++YDltNj7YUfJzCLvJqLTN8GMflTHapjYrbbkvqYgFLibQsuGjaHaF/S0tDQ4ODgY9OXSmL6GqZF/L97A8JcQWLjzLL7cdhmPiunCETrU9Mb3fZsY9dKhhJyCp3EaoPJIlFgnNDL+KUYOtjYY0aEa++Nkb2vcQBbe++1lR7DrfAyb5a7x7RW52Ji99QLm7Y5gY/AwanIhER/iFr44C5meOXG/+zANLWbsYCXYXmxYDt+/Kf3VqqDprA+Lwvjfpb9k0WsZVVx4HOOuc5mnL9yxiemSFgTll6js5aLLMO/jiurspxuqebvBw0V+TXdJgxpJZE7MpYo+YlUY/jt9B452Njg7vbvknAGUHK68pzPqlnXX3MWJVN0YSqcF3A2dG49+VNKPSvtR07/gK4o3ee80mq4r80iPGquHqqvMo8C9KATN93vediA3F3fzqUQdI/MGRolZnThxAq16voVSL02GrWtODHrCHVS+sQX1KpVCjRo18v5UrVqVXbiIpi0NnL6ZgHdXhuW5gZYu7oAe5VJwIdMb+y/fy5sMJSGj1/Q2Nby1NUETSUuvcR1n72Gjdartg18GSU9qJFVEituleq33kzNYQprgiR24lZMSH+JSUbAsOnPj/sqPB3Ds+n0Ud7LDsSldYG9reG4a/T04vH01THrO8Jes+yyr/OMYd93LexKLfyfDXkqjF3z24p4T4577+k5715yeaObGXIru6CwlPP0qeODv0W2kdAF5gVFG7dSMbHStWxqLOOTmkDSwRoi0gLs5Val/wbd4QDN0luGqThVVqLIKedpQmUdz7u8ndShwN+eqevbYvO1A7gZ6erruplrfuLt27RoqV86f1VW9KjZMMt7AGCbFs3utX78er776KmyLl0KpVz6GYxldHHp2aiLu/jMLqZG6GDFqtra2DDN9o53+3qRJE5Qura6YHCV0pUWefx6PwqT14Xluni2qeGFmz2o4fTQE7dq1Q2hUKoL+OcPqg+Y2is/6+IU68CkuasvqYz5142ksz0kUs3JIC7StUYr7klgZchVTNp5hfHknoBMf4tzh0gRDc+P+057LmLP9Alr5lsTs1xoaVbOaXrKafr4D8UnpaFHVi+Vn4N3SMrNwPS5ZVxJOz2X+/+xdB1QUVxf+VFAEVBAFKzbsImLvHbHFFhNjTTT2GGs0auyxJZrYEzXGmvyx9957RbEriKjYAEVFpEjzP/ctuyy6sDO7b3Znl7nneBD2zSv3mzc79917v0v/J8ZxIWJnmxUl8jmysG3tkPmS+R1MEqVkbsz16YgOIitOPsAiK76sXgS/dvbSdwn7nA6b2y46zf4/2rcsvmui8OZoK07uuAsCWcJGFDnTYckZxuA+oGEpUc4ISsegtAySQyMaorRbLglnKq5rBXdx+jJla952IFcDfd++fcwAtLW1xdy5c9G3b1+mG2JnP3r0qCn1ZPKxeAMjxQJCQ0Oxfv16ODs749HT59gTngdhdu5sqA8fkvHmxBq8vbAlw6EXLVqEIUOGaNpcunQJ9K9MmTKoW7cu7O3tpZi60mcGGkhMSmYlRf4+/UDTinKmJ7StgOiotzhx4gQaNVIx90fFJbBcwDVnH0LtOCJv15iW5dC9prusTorNBTqVhKoz8wii45NQ2tURB0c0NCh1J6P5k9eu2W/H8TAihp3Snx3XFLns+IXQKl/i5rp7zDuuuXGnsFAqh5Wb073cd80lHL4TDjKCqQa2MR55McjQ4QDVbtfOcVd74J9HxgnqivRA3nVilGf/XFPz3fM5GpYOqGtgc2OuTxlXH79hhhLJpLYV0Ke+MEZt7QPM//WthboeSrSXYqDru9tSP6c9TIdChni/j90NR+/Vl1hnv3aujC+rFxU+sMQt5b7fJV6+rLvnbQdyNdCrVauGn376CbQxyIgjA/3nn39GkyZNcOyYqsSGtQpvYKTQ08cbm3BafjIYs/ffZQ8yEi+nBHgn3MKDoEDcu3eP/SOmfbXs378fvr6+mt8nTJiAGTNmsN8pUsLdXWXwk6xduxZxcXEaL3yhQoVgTDk+KXRi6X2Sd2nI/67g7P0IthTKMZ/esZLmCyW9hzl5J8Zvu8HqfaqlSlEnzOhYCRUL5bF0tRg1f3XFA+qE9NG9Fv/onwO3QlkqAkm/BiXwU5sKRs3544uVL3Gu6rSYzqwN9yXHgjDnQADT/64h9eFZxPzPJvKsP9AOl2d13aNZCHd8kjCSujw5bVO97Voh80RoZSMyLUDumGuTB/6vXy3ULSXM0B654Sq2+j8F8dhen+ILx0xQMk/Mg0buuItZi9za0ntV1Z8PsWl1q+WOmR09ZTNFBXfZQPHJRHjbgVwNdAqjPXnyJJv0w4cP4ePjw4z0AwcOKB50GdxT6W3s4wHh+P4/f0TFqUL6KhbKjWU9q6GIs8obTtepjfUWLVogX77UL9guXbpg48aNsLOzQ3R0dBoD3MvLC9evX9esPGfOnPDw8EgTNk+edwqdp7B5ayl7Yyqobz2LRP+1qfnmBXLbYWnPaiBDWy0ZPczJi0t1vufsD0BUSjgnvQz1rlcCI3zKZMoXItJJ47nH8PhVLOgl+vy4ZsiZnT+Z3vPIWMawv8nvMXYPbcA8bTxF+RLnqU3L6cvacD8fHIGvlp9nAIitZ2xq1OjZQfW+VeHyKqOdfhJpHfFMCBEqUVfMhTztqd52Vc67Q7oRNnLHfMrOW1h9VlVNxH+iD5wdhHHbqPPWyxXIhf3DGwpRX6ZqI3fcLR2MRnOO4VFEDCMo3DusgWyWo+AuGygsy0CvV68ezpxRhTKRhISEsNDayMhIvHr1KaO0fNUsfma8T07Ez0D/FRltbMrX6bfWj+XhkVDt2T+6V2W5hBkJ4RoQEICwsDB06NBB0zQ5ORmOjo6IjRVWs5bafpzv7unpyXLeFflUAzuuPsWPW64zAh2SGsWdsaR71U9yyYU8zKnU18977mDXtWeagcjYn9KuAnwrFshUByfa9XoHNCqJca3KS3r7UQ5sDhv+BwBCcJd0YUrnZtGAXHAnY/Xq49eIiU8yir+B8pc9pxxkRG48mOHNAgrA8uhVRnuK8Z7igSeDXiBHHdxyE0ldSri8Flldzg9xzDGiTmMy1xrTG/fLZedw8cEr0HfK+fHNBE3vdXQ8vFM8mF1rumNWJ/l4MAUtwASN5LLXTbBUo4agsow3n0Uyh0P5grkF9zVsvT92XH3GKg7cnOIryUG94MloNVRwN0RrprmGtx3I1YNOYe3ff/89ypYtq9FGYGAgOnXqhJs3b5pGQ2YahTcwUixD38am/OQRG66ynD8Sm6xZMLldRfSo5S7aSGM5fOHhGs+72gOv/hkTE6N3ic2aNcPhw4c17aKiohi3gTrfnZjmM5tQvvkv++/ir1Op+eY9artjUtuKOsvQ6MNcW38nAl9g0o6b7NRYLc3KuWJKu4oomjdzcAt0XX4e54Ij2Jcy1U7l7dk21f0qBndTzUkZR3oNyAX3lvNP4m5oFHsh3mek90ldz7iIc06c/rGp9Eo04QhxCUl4GEH13LUY5lO877EJSYJmktM2K1yyJ8GzWH6UL5yXGfFEWFfMxd4kJHUZTZLeA7ymHsTbuEQ0Lpsfq3vXFLQmOecAC1qACRrJZa+bYKkGDxH9PhFVph1EQtIHdKleFL90riy4r1VnHmDqrtusPRFUElGlHETBXQ4o6J4DbzuQq4EuX7VJPzPewEgxYyEbOzn5A+YdDsSio6razCRdaxbF1HaVuNUhpS/tZ8+e6TTeg4KC8P69imV84MCB+PPPPzXz8PPzQ40aqnJX8+fPx7BhwzSfUeQGERGSF14dNp8rl3yYN3ngSV4FSkU4HaTiBKB88587VESXGql5/x+PIwRz7WvohfGPY0H488R99qVGQgRNw5qVQd8GJUxG0sRDX2L7uPP8LVotOMUua+NZkEUk8Jb4xGRQGKvU6Rxicee9TqU/82hALrj/uPk6Nvg9Zko4/WMTTbqUIVqhQ8O1KRUVLo5vBtfc1l9xgr6HQ9/GaXndU8Llw98x8johQulKdLCq8rqnhMyn5LtThJwphOrSUylJ9n0uolTe7wcDsDDlHeTwyIbwcLWu73IeupfLXuexFin7aP77CQSFv0MZNyJ8bSR4KP+Q1+j4x1nWfnzrcujfsJTga6VsqOAupXaN65u3HagY6MbhobmaNzCcppWmGzEbe++N5xi18RrUp/jVijnjzx6fhlDznieFxj958oQZ75TrTnnsavnvv//QrVs39uvevXvRqlUrzWeTJk1ihITaQnntH4fN0++UB+/g4MB76pL2d/vZW/Rf54cnr1UpAxTu+GePaqjq7pzhuGIw1+6IvtAmbL+B88GpqSn0BTejoydqFJfHSTJvhY/ZfA0b/Z6wbjcPrIPqEqzz59234ffoNSOGa1WpIPPUSyGG4i7FXJQ+TacBueB+ITiCEVf6VHBjnCbGHEhROs+w9VeZEpf2qIqWlQqaTqEyHImqTARrlYS78/Q1bj+JQMT7rEgUGC/vbE8kdWnZ5cnrTrwzPJ9JR++Goc9qP6bFBV9VQfsqhQVptOffF3Dq3ktQhZFrk+RVh1rQAkzQSC573QRLNWoI4tl5n5CMqsWc0/Dz6OuU0s88Jx9kxI+tPQvgj+7V9F1iks8V3E2iZoMG4W0HSmqgnz59GsuWLQN5RSlXmTyn2kJf2pS/bA3CGxgpdCJ2Y5NHkfLS1UYh5ZAt71UNlYukkpBJMc/0+kxMTGS8BmS8kyc9b95UQ5EMdzLghQoxyn9svLds2RJEZCc3odzw0ZuvafLN2WEJ5ZsL8CSJxVx77bRft/k/xYw9dxARHa/5iELFxrYqJ5jsR2761DWfiHfvUWf2UZCH27NwHuwcUs8oo0LXGPRiXXfWUVZfmWokHx7RyKASMEL0aQzuQvpX2shTA9aIO+VpN/hVVQWmf8OSGN9aWl4IeSKb/qzUmNet3wBRydlV9dxT8t2JoI7y3inEXIhQVFaJfA5pSsKRIU/PKwcDWNS1WfgPDG+IsgX0e8IpeoDC4om4tEHpfFj3bS0hU890baxxr8sNxPZLzuDa4zcolMcOZ8cJ40+Qeg0K7lJr2PD+eduBkhnoixcvZiHINjY2KFmyJKvBrEvOnTtnuDZkdCVvYKRYmiEb+5MyXjZZMbuTJzpVLSLFFA3uMyEhgVUO+DjXnX6n8m/kmdcnb9++hXZY/Lx589h1VapUAeXDm1qIGOnXA3ex7ESwZmgq+THlM9355rrmZwjmH/fzJiae5b3/d1EVskpCIZL0ovx51cLcDVlT65nGW3z0HuYeDGRD//6llyT3N5Hx/XogAOQRpLx+Kcq3qXXHA3dz4KCMaZwGrBF3OiisMeMIXr57Dzqc3DKornFKsrKr9WFO+nv5LoWkTotdnoz4p29iNSVW9amlYB671HB5TWk4RxbNlV6EBKVk0QEzpfXcntZSUIrUvbAo+MxTVQMa2qw0RvqU0Te1TPm5PtwzpVI4L1q7AoFc0msU3DmDzLE73nagZAZ60aJFWemsPXv2sJ/WLryBkUJfhm5sIiabsfcOKwullr71SzAvqtiarVKsS1+flNMeHBys03h//FhldBYoUADPnz9P01WRIkXw9OlTNGnSJE2ZQCKrGzt2rCbXnTzxxYsXh62trb6pCP6cjGJ6uaEwPxJ6wSEeADLQxYihmOsa4/KjV/hp201G/qSWWiXyslrhlpwjmJCUjPq/HEXY2/fI55gDZ8Y2kYRZXa0zMtRz57SVlMCJJ+5i7jelrXk1IFfcySua1Yh0jgHr/HDgVhjjQSFGZfqpiEoDxmBODNdUv11dGo5Sm8gDT1Vd3ifqP9Sm8YkdO22OuyrfncrFtV54iuX/iiEL3HjpMcZsUZVnXdW7BpqUdVWg1qEBY3BXFCpMA9v9n2L4BlV6DZUepqo25hYFd3MjkP74vO1AyQx0Kps1Z84cDBo0SL7a5Dgz3sBwnJqmK2M3NtVsJgONcnJIKPxsUVdvONmbhnBGCp1QGbj79+8jIiKClalRC/2d8tTJ+9C/f3+WqqEWf3//T8q/ZcuWDcQq/3HYPBHWubu7gz4XKndD37L65iGvVGzq+XPlYLmX1YqJz/02FvOP50zGLLGbzjt0T8NPQIcHAxqWwpCmHpIanUL1J7addo7riOZlMKx5abFdyK49b9xlt0BlQjo1IDfcV55+gP03Q+GWx459Vxgqy07cx6x9d9nl2wbXhbce7g1Dx7HE66TAnA5UyLuuMtxTQ+bp/xTJIEToPEadEl/G1RF9G5TUhM5n9M4wbut1TbSWmLrpQuZkTW2kwN2a9KO9FnIuHL0bjsCwd1jes5rgqL+HL6PReO5x1tWgxqXwY8tyZleRgrvZIUh3ArztQMkM9KZNm6J27dqYOXOmfLXJcWa8geE4NU1XPDY2MVsOWHdZwyTrntcef/WqLii3TIo1Sdnnu3fvGH8C5aVrlw7ctm0bKx0oVLJnz87SPLSNdx8fH5Qq9Skr6J7rz/HDplRyPm93JyztUQ1uAvLNdc2HB+a6+qWXt8k7buHwnTDNx3QvTGtfEY0tzOPRYckZXH38hrHinxnblB2IWLpIhbul68Xa5y833NU1sB2yZ8OVST4GR6ZcevgKXyxVpcNNaFOeGXuKqDRgaswjYxJw/6Uqt12V467yuD96FcPq1QuRfI7ZUfKjmu4e+R1RyCkn2iw8xaK0SuZzwNEfGgvpLlO2MTXulqxkStH78/h9toTjPzRG8XzCSILJQVP150N4HZOAOiVd8F//2mZXg4K72SGwfAOdDNY2bdpgzZo1aNGihXw1ymlmmcVAJ3WFvY3DwH8uwz/kDdOeffZs+P3LKmhZyfzhP5zg1NtNZGQkM97VOe+BgYGa/xMhoj5Zu3YtevbsqWm2a/ceLDkVgrtZUkPYv6pRFFPbVzT4pdYUL28Hb4WC8rSeRcZp1tKmckFMalvB4EMFfbrj+fmVkNfolFJK5fOqRfDbl6lVA3iNcz44gr0c9GtQEvU8XASf3hszvvIlboz2LPdaueG+4lQwpu+5wxS6uncNgw/vqPyj55QDrPSjVCUQLRV1uWBOBJshr6IRlFLTnRjcLz9SvSMIlRw2WTWh9eUK5GJeSzVJnX12G6HdZIp2csHdEpRN7yn9111mU53XxQsdvYVzKH2z6iKOB7wAHTJen+LLtcqBIbpTcDdEa6a5hrcdKJkHndSxZcsWdOnSBZSPrivMl4hFjhw5YhrNSTwKb2CkmC7PjU0lKCZuv6kpS0XzHdasNPtnTK6hFOs2dZ9koOsiqyMjnojoSM6fP49atVTstOSRaD7pX7ywyc9+t8mahRnmahKxadOmIS4uLo0H3tXVVZChxxPz9PQY/T4RC47cw9+nH2g8KJSX+EOLMuhZp7jZv9Aywl9NYkRtdn9fH5UK5+F+u3y7+hKO3A1n/R4Z1Yi9cEotpsBd6jUo/YvXgNxwfxQRjUZzVCGi3Wu5szKNhoqaUZnIys7JhFHZ0LXwvE5umKvXRiUl6TuBZN/Q+ngdm8C87toh89oHu/p0UtgpJ0oxcrqUmu7kgXd1QH7H9Enq9PVpyZ/LFXc56jQ8Kg41Z6hsjV51imFa+0qCpzn/cCDmH77H2gutRCC4cwMaKrgboDQTXcLbDpTMQN+8eTO6du2KpKQklsubHou7mqTLRPqTbBjewEgxUd4bm8J/1p57hGm7b2sMsxYV3PB7lyqMOEaRtBogfb148YIZ797e3rC3t0dAaBSrb/4oQpVv/iEmEltGtkxTg7tYsWKsvJy2ENu8rhrv9DcXl1QvLW/MM8KUarX/tP2GJrKC2lLJspkdPeFZhL/ha+z9FRoZx8jhqHZwzeJ5sXFgHWO7/OR6Ikhq/vsJ9vdGZfJjTZ+a3MfQ1aEpcTfJgpRBBGlAjri3mHeC5X4S2/e5sc0MPsCduuuWhqj07NimLBxaEdOHuAvVefcV53EmKAIUzu43wUfnZXS4qyGpSzHe6ZkZ/PIdi5YQIlQr/eOa7iqSOntBrPFCxpBjGznudTnqST0n+q6nksH0TrLr+/qCp3o8IBzfrLrE2v/yuSe61BBH1Ct4IIENFdwFKsoMzXjbgZIZ6JSzSx5yMtQrVRJ+WmUGnXIZkjcwXCb1USdSbeyzQS/x3f+usDwdkjJujiwvnVhcFUlfA/tuPMeoTdcQE5/EGlVws8eoWrnRrG41zUXx8fGs3nt0dLRgVdJhmNp4p+gVyoEfOXJkuodkgjsW0JDIhdZfeozZ++5oau8SWVCvOsUxskUZ5Lbjx3QvYDoZNplz4C6WHFPlpVFd+VaeBY3t8pPrx2+7gf9dUB2u/PNtLdQvnY/7GLo6lGqvm2TyyiAGa0COuGvvs+3f1UOVorpLrupbNJXroogXksXdvNG2ciF9l2SKz+WIOR1GV5t+GFSmtb5HPvzTV1wtc8plf/o6FkEvoliOu5plnrzv1KcQoUg0MtKZ8a4pC+fAct/z5JTP95CQtSjPeEO1lHqdOlqO7oubU30FE9pSRZ0q0w6xjrrWLIpZnSobPxkjepDjfjdiOVZ1KW87UDIDnbyDv/76K4YMGWJVAKS3GN7ASKE0KTf241cx6LfWT1OCi74A6SWqQWlV2LYiqRqgl495hwKx+FiQ5o9fVi/Cwq7sbD9le6da7M+ePYN2nrs6hJ4Y6MmIz0jq1KmDvXv3agx0Kic3btw4ZsS3a9cOnp6Gh52mN+6LqPeYufcOtvk/1TRxzZUDkz+riNaeBQSF50t5z1BOa51ZR9ihEoVOnhjdmHvJwIh371F39lGWU0n5lPuGNTDZuqXc61LiovRtnAbkiDsRMBIRI8l3TUphtK9hTMjP3sSy/UTSp14JTPqsgnHKspKr5Yg5lZKsOVMVUtyvQQn81IYfVmSgEykdGe3M257CMk9VTwRy1DEi0LSh8o7wcHVEwdx2Bkd4mPp2kiPuptaBmPGoogRFe5JsHlgnTZSivn6azD3OIj3oe3z/8Ib6mkv6uYK7pOo1qnPedqBkBnrNmjXRtm1bTJo0yagFW8rFvIGRYt1Sb+yY+ESM3nQde26o6omT53R86/L4tn4JkxkmUuiNZ5+RsQkYvt4fxwJesG7pNHfyZxXQo3Yxg3REKSSUJqIr551qvycmJuLzzz/HihUrNAY68T40b96cjb969Wp8/fXXmiUSQ/3u3bvThM97eHiwcHxDhKIrJmy/ieCXqREAFOr9c/tKcHcxrE9D5vHxNRsuheDHLTfYn8e3Lof+DT9l1Dd2nAWH72He4UDWzW9feOHzasKJaYwdW+q9buz8lOul0YAccaeomtqzjrDKHxRddXBEajlLsVqoPfMIQt/GMS88eeMVkWeI+4nAF/h65UVRzz7itcmaJYvBYel0/cOXMSpvOwuXT813V0ep6btfctpmQ8mPctzJA18in4Ngj6u+MXh9Lse9zmttUvRDFYg6phDC/tS6PPo1FF4JYsSGq8zZQO+0N6b4wsGMKZwK7lLcHXz65G0HSmagHz58mLFU79+/H15e/JmR+aiTXy+8geE3s9SeTLGxKbTtj+P3MfdgAD6kpJB19C6MWZ08ZfcFJ4WOM+rzXhjlm19mJ7EklJv3R/dqqFlCfH1zIXMn4/zGjRuge5OMdDUPxD///MOMcvLMnzlzBnXr1tV0N2zYMCxcuPCT7gsXLgyq6f5x3juVisuRI+OyZPTitPR4MJYcDwIx/ZIQW+/QZqUZs3l2m6xClsOtDd2jLeefQkDZsPNOAAAgAElEQVRYFOiF7Py4ZshjzzfkkTz0lPP28l08y709NaapSddpir3ODRClI24akCvu2qkeFK1iaPrT4H8vY++NUNhmy8JelHVFHHFTpoV0JEfMtevW7xlaHxUL6ecg2e7/FGO3Xkflwk6Y3rESyrjl4oIAPe/pUCdtqLyqPBz9XYhkyQIUcc6ZmuueX+VxJy98XofsBh2uCxk3ozZyxN3YNUl5Pb2HeE4+iPikZBbFR+9eQmXN2YeYvPMWa76+f23ULuki9FLu7RTcuauUW4e87UDJDPRevXrh6tWruHPnDmOrJqKrbNnShu9SjjqVYbMG4Q2MFDox5cY+cicMw9Zfxbv3iWwplYvkwbKe1VAwT+Yk9tl/MxSjNl5FdEq+OemD6ptLTXSUHuYUFv/gwQNWXYHqvKuFDPd169aBXmqECO1h6kPbcB80aBDs7Ow+uZwOJoj5/3TQS81n9JIzvUMlk37hkVe/24oLbA49artjegf+If7rL4Zg7FaVh35My7IY3NhDiDq5tTHlXuc2aaUjozUgV9yPBYSjdwrRkjF1zLXLtokNUzVauTLtQI6Yqz2O2bJmwe1pvoJKhU7ecRNrzj1iWr44vhlcc3/6HcIbgqi4BE2IvMrzrsp3fxgRLZikzsneNsVw12aXd0RR55zc06a01y9H3Hnjw7u/jn+cYSS2YitBXHv8BlRFgmRsq3IY2Ih/xJ3QtSq4C9WU6dvxtgMlM9CzZtXvFaOXewrRtQbhDYwUOjH1xqb8sP5r/TThzfkcc2Bpj6qicn+k0IMp+6TwTirTsfBoar5552pFmFFqCu+PIZhTSTfKbdcVNv/0aWpOuS492traIiYmBjY2qSz+xENBe5089V999RV2XnuGn3ffwct37zVdUA1yCjV3cczYG88Du75r/HD4Thjr6vDIRswTwlPocMNn3kmWH2mfPRtjrubtodc3X0Nw19en8rn8NSBX3Ml7VXXaIXZASRFDGwcYVjHhSshrdEoJU5UqNUX+KKedoRwxbzn/JOOjEZPSsPXKE+y7GcpSIXaYOX0hMSkZj1/HaoXKq8Ll6ZlOaWpChKI8irukGO2uDiked0dGUsejyo0ccReiF3O20a4EcW5cUwh1GFHkX6UpB1gEYMuKBbC0p3DvO+/1Krjz1ii//njbgZIZ6PyWbBk98QZGilWbY2PTl9mw9f44npJzTV9aRIbWtaZ5S1VIod+P+3wbl4AR669qamCTN2FS2wqsDicZrKYQ3pgTm3x6xntoaCioesPdu3c1SyNjlUrC0XUdOnQA5biT0H0xddsVbL32AkjRhYMNMLheIfRv7glbW2nK9FFd5sZzj7P0i4Zl8mOtBGXPtL2F39QtjintKpoC6jRj8Mbd5AtQBjRIA3LGXR2eTnmcVHaLQoPFinaYqm9FNyzrWV1sF1bXXm6YkxFTcfJ+5oFu51UIC7t6W43O6fssIjo+bT33FMI6KuElMPAMBXLbsRrumvJwKTXd6e9C3w3khrslgEzOgaEplSDEVm5Re98Jo/Pjm5ltuQruZlO93oF524GSGej0INP3oKEbLb366Ho1IbMGvIGRYnnm2tjEWk456X8eV5W0IqHQ4kltK5o0L1cKnabXZ1B4FPqvvayJHnBxyI4l3auaNJSb5mZKzKOiolid95IlU8lXXr16xYz2ly9fYvTo0ayyg1qOHTuGlt0HwsX3O2R3Sw0Zi396G7kD96JsgdxpQucpB75QoUIQEp2THi7Tdt3GyjMP2Mere9dA47Ku3G8Ldf1fOnc4/oPh+bbGTMyUuBszT+VavhqQM+7b/J9gxIZrbMFzv/ACRRIZIp3+OIMrIW8YEzeFQut7zzBkDEu6Rm6Y33n+Fq0WnGIqNEd6j7mwI96R1JruqlB5dU33uAQV94o+cchOJHWq3HZVjruqRByVi8thkzZFVG6461ubHD6nakMNfj3GptK/YUlGYixUtL3vxFtTII/0KRi65qbgLhQx07fjbQdKZqD37duXMUenJ/Ti7uPjg8uXL5teixKMyBsYCaZoUmNN1/zp9HLM5mtQf1lRqOMf3auCQt+tSQ7dDgPl4Knz7z0L52EhUVTOy9Qil4c5zYNI6/LlS60DvnXrVnz77bd4E/kWuaq1hVP9HsiaQ8Xs/iEpEW8vbUPk2fX4kJAaCk/58sQqr85579GjBypVqiRIrZRvWGfWUYYLMfUeHtGIe0mdW88i0WbhaTYfc4bCyQV3QcAojbhpQM64Uz1hqo1NB7bGeL9n7LmNv06pDtlOjWmConnNVw2CG3BGdCQ3zLUPYlb1roEmEhyCGqEuk19KaW7PImNZiHwqu7wqZJ7KkQoRijpxz6td090BrjmB53f90bp5I6txdAnRhTFtyHFYY8YRll5Xo7gzNg1MJcjV1++Oq08ZrxIJpWq2rFRQ3yWSfC63/S7JIi20U952oGQGOuWijho1CrNnz/5E1REREWjWrBlCQkJAhro1CG9gpNCJHDb2zaeRGLDuMp6+iWVLLJTHDst7VUelwvpZXqXQCc8+6Yt4wZF77J9aOnkXxkwzMtjLAfOMdMxCBiMiWL673+372BSUjJAPqQypiZFheHXwT8QG++nsZufOnfjss880n9Gh4MGDBxnjPNV6d3Bw0Hy26swDTN2lqoP6c/uK6FmnOE/4WV8jN1zF1pTa71sG1UG1YtIw9OubuNxx1zd/5XPDNCB33LsuP49zwRGseoL/JB+DeDj23XiOQf9eYQpa8FUVtK9S2DBlWclVcsN81t47WHYymGlXqKdx743nyG1ni8pF87CfmUUo1UtV0z3V406e90cRMewgS4g429uitGuuT0LmCzvnBKXVKZJWA/3W+oGcKFRJ5uZUX8Fl/UIiYtBwjsr7PqBRSYxrJdz7zhMDue13nmuz9L5424GSGeirVq1i3jEy0MeMGaPRO4W6NmnSBEQ2RS/S1asbnkP2/PlzTJs2DXv27EFYWBhcXFxA9deXLVsGNzc3nVgTgdXatWtBL/ZUgoqMg+LFi7Oa7ePHjzf4JJI3MFLcqHLZ2BHv3rMXrIsPVIczdrZZ8WtnL5avZqlC3lkK31STj9EXI9Xa7F2vuFlDMOWCuRhcqQLApB23NIc4dG15xziUjb6Bp0G3NOR1tJcp351C6NVCHvV///2XkdTFxsZqyOro8KTimA2ItckFWyRibPkoVCpXmnni8+blY0SHRsax0mqJyR/g7e6EbYPNV6fZEnEXc48obXVrQO64rzz9ANN2qw7J/vm2FuqXTo2oEYpp2Ns41Jp5hDX/uk4xTG0vLIJGaP+W1k5umPdaeREnA1+A2M39J/oI+v6rM+sInkcq9e3V9x7l8Ye8SqnprsUuTx74qJTKOPruUypfWjKfOs/dgYXKU8g8RY/ZZ5eG40XfnOTw+R/Hg/Dr/gA2ld3f1xfsHCJnAkUAvYqOR60SebHBQKJLY3Ugt/1u7Hqs6XredqBkBjop/bfffmPG+fLly5mxTkZ006ZNQWRShw4dQtWqVQ3GhjxuDRs2ZCWivvnmGxQpUoTlv547dw5z5sxhL9665ObNm6hcuTIaNGgAX19fuLq6sjB78ryRoU7/z507t+h58QZG9AQEXCCnjZ2QlIyfd9/G2pSyKjR9Kl0x2resxZ360ok3sdXTKTgJkR8t7uaNuqXEv3wKgFFUEzlhLmbisfFJWHj0Hv46GcwMXhLKzxvhUwZEvEYHIHRAR/tXmzG+W7duoNB5Kv0WGBioGfLw7VD0XatKp4m8uBVvjq3UfEYGOj0vdNV5F/Ms+GX/XQ3PAqVutPY0TwgcLcxScRdzjyhtP9WA3HF/9iYWu68/g0+FAiiRLzW6RSyW9WYfZQd4lD606/v6Yi+3qvZyw7zmjMOMib12ybxY318/W//zyFiWekRCB9qTPzM9qaal3BBkJL54956Vg7vxKBynrwchIWdehLx+n+ZAW996KHJRbbCrfjrAI78j43Wwdk6Hc/cjWMlbb3dnDG5SChULCY/e7LP6Eo7eDWfVWW5M8TXLu6rc9ru+ey0zfc7bDpTUQCdgyCtNBvPChQuxaNEihIeH4/Dhw6hSpYrBuNFDimqrU4m2EydOwNFReJkk8uA/e/aMGenasnLlSnaIQIcKI0eOFD033sCInoCAC+S4sf+7GIJJO25qao42LpsfC77yRp6clhHmdjgl31x9ql2xUG5W772IszzyIuWIuYBbVdMkMCwKP227gUsPX2v+Vr5gbszsWIl9weqS5ORkljqjne/+1dIzOP/wDT4kJ+Hpsn5IehsuaBp0AKDOd2/evDm6d++e7nWb/B5j8bEgJH/4gOM/NDHLl7d6cpaOuyBwlEafaCCz4P79f/7Yde0Z22M3prTI1B5BOWFO0XHkZSQRWsFCO2WBGN8tOZLOlI+kj3GPiU/UqumuCpknj3vwy2hWHkyI5Mphg5IpBruaYd7D1QHueR2shtBXCIF1erpaeOQefj+kOvjfN6wB6F3E1CKn/W7qtct9PN52oOQGOil04MCB+Ouvv9gLMxnnnp6eRun56NGjLId9165dLDSd6jYTs3P27OLLtqgn8vbtW+TJkwd9+vTB33//LXp+vIERPQEBF8h1Y/s9fIWB/1zR1MUmz8pfvarBwzWXgFWZpwmFTC86GoR5h1O9tB2qFMKsTpWRM3tatlXzzFA1qlwxF6MT0vXmy08wc98dvIlR1aAlhvTutdwx2rec3sMcMvJbzDvJrvOt4Iof67vorPH+4MEDduiXnnz8bLhz5w4GDRrEDPh+/fqx9BrKGyQvobmJq6wBdzH3iNLWeva7ECy1+STW969t8uoYQuZoqjZy2utng16i24oLbOm/fO6JLjX0l1OdufcOlqfkrJ/+sYlsDrdNhZ+h4wjFXf2dFJRisKsMd5UBTyXjhIhN1ixwd0khqUthmVd74C3FmSJknfraUOoGpXCQzOrkaZZywUJx17cW5XP+GuBtB3Iz0CdNmpTuasmjRd5zMqq1GZcplGbq1KmitURh8+SVP378OPPQnz17loXlkFf9999/R506+sOqPh40ICAA5cqVw9ixYzFr1izRc+INjOgJCLhAzhubwtyIPO76k0i2EsccNpjfpQqaV9DNJSBguZI1oXzzURuv4eDtMDYGeXHGtSqHb+uXkF14mJwxFwsQ5X7RyxwZ62qhCgAT25ZnXpf0QvPGbb0BitQg2dC/NmqVTCWh055DQkICHj58qDHeKUSeUmnoHxFazpgxgz0f1LJlyxZ07tyZ/bp9+3a0b99e89kff/wB+lztfVeH0FMJOmMOEoXqzJpwF7pmpZ3lHchFv0+EQw7x+bDXn7xBu8VnGOSZqZSXrntcTnt9xalgTN9zh01z55B6qFzESe+2/GLpWRYhpZTN06uqNA144P46Oh7BL1MNdma8v4jGo4hoCOSoY1V4KEReEzJP/8/vyKrWZLUykjoi9fOaepDh0KV6UfzSOW0krjgEDWvNA3fDRlau0qcB3nYgNwPdkNrE9EKdkccqPWV06NABO3bsYB55yiXv2rUrC1snwjgijrp48aJoL32vXr3wzz//wN/fH15eXhniQLmv9E9byJtGBFV0aKDven0gS/U51ammG4hy/3Plkp93muqITt9/H7tvvWAqIP7RwQ3d0bdOEdkYvo9exWLEljsIjlCx0DvltMEv7cuiVnH9LyJS4ZpRv3LH3BCd+IVEYuaB+xoMqI9axfNgfItSKJY3bSm7N7EJaLnED3GJySjr6oD1vb0Mupfev38PMuC102k2bdrEDhiJ8JK4L+iATy3kWV+/fv0ny6PnZNGiRVGqVClWL177J+XNU/ULHmKNuPPQi7X3YSm4r7/8HNuuhSE+KRnb+onnoiEOkwbzLrB93dgjL+Z3Ng+jshzuJzlhPmnPPey8EQ6yy86MrM3Y+jMSwrH+vAt4n5iMJqXzYt7nmRdHsfeSlLhTSPzjN3F4GBGLBxExeMB+xuLhqxjExAsLl7ezycq+j0u45ERxl5Sfee1RLK+dQdUbxOpHX3t6N7jxLApFnexQ3EV4SmKH5Vfw8FUsPPLbY/O33vqG4f65lLhzn2wm6/DatWto3Lgx4zIzhmNNrTZuBvqjR48MgqJYsWKir6Nc0CNHjjCPPIXMq+XUqVOMOO6LL77Axo0bBfdLJHYDBgxgueeUg65PpkyZkq7nn66nl25FDNPAhw/A8edZsONRVnxgJjpQJW8yunkkI4eZI8dvvc6CdfeyIjZJNa/C9h/wbdkkuNgZtlblKsM1QCl1x55nwYHHWZHwQYWHTZYPaF44GT6FP8Amq6rvQ0+zYHeI6sbpVioJtVyFla4RM7MVdwB3R6B+QcA+xRlIz5Tz58+LKiOZLVs2RnpXsGBBFCpUCL179wb9TRFFA9amgc3BWXEqTLVJx1dJhFvaczVBy114MxvuR2WBg80HzKiexNJeFDGvBuZcz4Yn0VngavcBP3mnny6knuXjd8DcG6qH5mfuSWhemP/z2bwasa7R6f0sMh4Ii8uC8FggLDYLwmKB8NgseBMvbANmwQc45wDccn5gtdzpp5vdB7jZA442qvQ1qYXmPuOq6r7zLZyM1u7CDh2o/T9BWXHpRVbQOmbXTIKd8hUtNVwW0//9+/dZeXHZGeim1CDVPd69ezdWr16Nr7/+Os3QxMRO5ZWIMV6IUGgqham2bt2asT9rM0Knd73iQReiWePanHvwBj/uCMDbuETWUZn89ux0vbCT6a1hIhVZce4J/jgZAvXrQ8sK+TC5lYdeD4FxWjD+ams/bX3yJg6zDt7HmeA3GmXRCT1506sWzY22Sy8jLCoeVCt2/+DqrPYpT7n29C2+XneDddmhsiumtE5bPSI6OhrBwcGgBzf9U/+fflLVifTE2dmZtdWWTp06IUeOHKwSBuW8ZyTWjjtPDK2pL0vBnZ7v43cFopGHM3rXLvJJ5IsQTOYfe4jVF56ypjsHVIW7swFWvpCBZN5GLphTtY26v51DfNIH+JRzwZwOqRFF6amQIilmH1I951Z0q4Tq7sIZtWUOi+TTkwvu6oVSusqj13HM467yvKv+hbyO1ZAA61NKbjsblbc9b6rXvYSLPXvvozx4XkJErg3nX8C790moXdwJS78SXjlgw5XnmHVQdc/+1bUiahQzbfSk3HDnhYk19CNbD7oplUukc1TrfN++fWjZsmWaoWvXrs3CuOPj9ZNfUB32du3aoW7duti7dy/s7Aw3/njnHkihT0vLXaE8qH5r/RAY9o6pg4ysJd2qoq6H6cqXvXufiB82XsP+W6FsDvQdMa5VefRtIL98c133jKVhbsh9Twco+26GYuquWwh7+17TBdUi9w9RGe5Dm3pgZIvUeumGjKPrGmIgnrjjJl6+i8eeofVFlWyJjIxEUFBQGsI6dd475ayTB14tFGJvb28P4vOgspKrVq3SfEbpNRQ1pJ3vTl54qpjRsWNHkLGvSObQgKXsdyKuIiH+DkPl4K1Q9F+nKp34+5de6FS1iKFdWfR1csE8KDwKzX9XkXGO8imD75vpLnWrrewRG65im/9T9r16c6pvpmbjF3sTygV3ffNOTErGk9exKlZ5LYI6Iq1Tk77q68M2WxYUc6HcdnVdd8eUnHcH5LIzLC3s79MPkMvOBtWKObOceaFy40kkPlt8mjU3B/+FpeAuVJ/W1I63HcgtxN2USiaW9b59+zJmePqpLVQPneTJk1QiKV1zo/JsrVq1YrnqFC4vplSbrv54AyOFPi1xY5OBTDUrD9xKJWSb0KY8K+Eidb3Ohy9VBwT3wlUHBE72tljU1RsNSueXAh5J+rREzA1VBJH3/XYwEGvPPUxDcENf7md+bArX3IYfwGU0J+JOOH3vJVdCQ4oCypkz1SNIUTt0mEiEdUSSSeSYatm2bRvIu65LyKjXNty1/0/h9FLvIUOxVK4zTAOZab+/fPce1VNKevWo7Y7pHYyrDmOYxs1/lVwwp7J3VP6O5K9e1eEjgOC18ZxjeBgRgwoFc2PvsAbmV6YFzUAuuBujMiJ+VZeDo59B4SqSusevY0Dh9ELELTeR1FEtd1U9dzVZXcE8dpJ8vxFvQqXJBxhvQosKbljeq7qQaXJrYw24c1OGzDribQdapIFOtcwpd52M6zNnzmjyNCnsncLfqZ75ihUrGKkThZVS+TTyKKnlwoULoDz2EiVKsDrqPDxMvIGR4r6z1I2tq6RZ52pFML1DJcnIRo4FhGPYf/6aEPtyBXJhec/qrNSIJYmlYm6MjumE+6ftNzQVATp6F8a8LlWM6VI211K0ABFraqfi7Ny5E8SLQcb7u3eqwyQhQkSRaoOdjH4epCZCxlXaSKeBzLbfG/56DCGvYlg9YqpLnBlFLpj/uv8u/jh+n0FwakwTvaUmyTir+vMh1p5KZs7omDkPWAy9Z+WCu6Hzz+g6OvR+GBGtKQen7X2PTdDPbUB922fPhpJaHncPVt/dEcVc7I1+b/z8z7O4/Og1XHPlwIXxzSQ5CEhPP9aMuxT3kin75G0HWqSBTgpfsGABhg8fzljcv/zyS8akvHDhQjg4OLAEfWJKppJJZIRTnjrlq5MQmZ23tzcoj2P27Nlwc0tbxot+9/HxEY0pb2BET0DABZa+sQ/cCsXIDVcRHa96QFcp6oRlPavBjaNnlAwgesmYezBAc4LbtnJB/Nq5skWG31k65gJua51NKIR2o99j3HoWieHNy7BSMNYudO+GhoYyQ51yoaiihLp0HIXSk1c+PTl58iR7lqqFDH5KIfLw8MDKlStZ7rsi8teApe13ino5EfgCoZFx6NugpGgFa4dIX5/iy8pzZjaRC+Z9Vl/C0bvhyJXDBtentNBrtBy5E4Zv1/gxuOZ+4QU6dFdEuAbkgrvwGRvfkpw1oW/jmKc9OKUknNrzHh6Vmt6W0UiUTlE0r7qme0rIfIrxntchu6BJ/rz7NihEnuTs2KYo5GQ6/ovMiLsgUGTQiLcdaLEGOmFBZdGo7vnt27dZfiYZ1lTDnMoXkegy0OmltUmTJulC2ahRI/ZiK1Z4AyN2fCHtrWFjB4ZFsbDzRxExbMl0gklGure78Xm2RHIyevM17L2Rmm8+pmU5DGhYUu/LhhD9m6ONNWBuDr3pG3OT32MQKRJ55+30lBLS15cUn3+MO+WuUylKdV137Z8UZUTPygIFCmimoibidHJyYkz02qHwxPNB5eJ0hc7LsXyjFPqVa5+Wtt+/XnmRGehE3ug/yUf0Iei6cw8xccctBsf/+tYyKT+JXO4BuWBed9YRPIuMQ43iztg0sK5e9cw9EIDFx4JYuyOjGonKA9bbeSZoIBfc5aLqt3EJCH5BXveUXPcUA55SFem7WogQz5E6XJ553F1VBnwRZ/s0fBna6RzEi9SmcmqErpBxjGmj4G6M9qS9lrcdKJmBTuzFAQEBrOQYhZhbu/AGRgp9WcvGfhMTz3LdTt17ydSUPVtWTO9YCV9WL2qw2oiQrv/aywgIi2J9EJvoom5V0aiM5eSb61q8tWBuMLASXEg1Yhv8epQR0pVxc8SB4Q1ld4AjBncKmSeDW9sIHzx4MOPmyJ8/P06fVhHikJBHnnLj6RpdQka+LsOdPPF0iKqItBoQg7u0MxHWO/FFTEoxsOmg1bdi6iGRkB5uPo1E20Wq+1MoMZmQfi2pjRwwj4xJgNe0g0xtPWsXw88dKulVYfcV53EmKAJ5ctrCf6IPshpBGKh3MCtsIAfcLUGtlDP++FUMy21X5bir/tH/o1KqBOlbB71jlshH+e0qg534iH7efYdd1q9BCfzUpoK+Lrh9ruDOTZXcO+JtB3I10IcNG8ZCz8+ePctIiyhcnJiE161bx3K+rVl4AyOFrqxpYxMz6C/77+KvU6owIxIijvupTXnYZhNXSos8OEP/80dkbALrp6xbLizvVY2xhlq6WBPmcsFi65UnGLnxGpvO8OalWQi93IQX7hQ2r224E/9Hjx49mCeevO7kmRcqhQsXZsY7Mc7TAYAi/DXAC3f+M9Pd47M3sag7+yj7kEKcKdRZjND3QOWpBxETn4QmZfNjVe+aYi63irZywPxCcAS6LFdVnZjRsRK61yqWoW4pBclr6kEQCSwdgq/pk/lwM/bmkwPuxq7BnNfTd9vS4/fxy4EANo1WlQqw5wgZ78Q6L1SyZ8uCWiVdUknqiKzO1ZFFd0pBwqrgLhQZ07fjbQdyNdCbNWvGvC5t2rTBtGnTUK1aNZbzTS90p06dMr22TDgib2CkmLo1buxt/k/w45YbIK8mSZ2SLljSvSqE5BKxB/SJYMw5cFfD+t3aswDmdPaCg5XkMloj5lLsDaF90j3TeuFp3Hn+loXlUv6Ziwzz202BO5WyfPDggc6w+ZCQEJCudMnIkSPx22+/aT4iDz19R5DxTrnv9erVEwqH0u4jDZgCd95Kb7voFG4+fcue2Zd+ai669FrX5edxLjiCebWuTMh8nlg5YL7m7ENM3qlKNdgyqC4rXZWRPH0Ti7YLT+F1TIJsDzl53+e8+5MD7rzXZOr+tCNwRvuWxXdNPNgUYuOT8OBlNKgUXGrIfDTLeyf2diFCfBiasnAsx13lfSfHT3YbcU4k7fEU3IVo3zxteNuBXA30Fi1agGqLqw11tYqaNm2Ko0dVp+TWKryBkUJP1rqxrz95gwHrLuN5ZBxTWxHnnKzMCzH7picx8ZRvfh17rj9nTbJkAegBPahRKUlOPaXAU0if1oq5kLVL0eZM0Et0X3GBdd21pjtmdZIn87C5cY+Li2MVNHTlvE+cOBEDBgzQwKMum0l/IP4P4gFRy9ixY7Fp06ZPwubLlCnDKnlos9lLgbel9Wlu3A3R14LD9zDvcCC7dOOAOqhZIq+obuiAdckxFXv44ZGNQLmjmUnkgPnYLdex/tJjpnaqZy6ErI8O8IhLJmf2bFyJXjML9nLA3dJ1TeHvnlMOIC4hGc3Lu2HF1xmXTB9sAyMAACAASURBVCOSOjpcIi/76rMPcTzgBVOBU05bvEmJwNSnk2xZs6BYXnuUZJ721LruHvkdkcdef013BXd9Gjbf57ztQK4Geq9evRhj+v79+9lLVtu2beHn54dRo0axcmbWLLyBkUJX1ryxw6PiMPifK/B79JqpLqdtNhYuqYu8IyQiBv3X+eFuaGq++YKu3mhS1lUKtZutTypVEhcdxfYe7Uci/Po4ZNlsk7PQgb9ZdVHzpSxnY0DOe/3je3DLli0sNYqMefq+oFB4tbRv3x5URk6XkHFOhKC6ct6pike2bNks9C4zfNpyxj29Vd1+9hatF6oi7AzJ59RmA6dqG8ZwkRiuefNdKQfM2y85g2uP37ASVidGp0/Caz4tWd/IcsDdGrT65dJzuPjwFfI5qiJ4hIaln773Ej3+Vh3WU8nfzyoXUnnc1f/CVR73R69iQCkdQoTmwAx3rZruZLgXdsqp4WhQcBeiSfO04W0HcjXQX7x4AXqhItbfwMBARgpERsH27dtRvXrGJ1PmUSe/UXkDw29mqT1Z+8amMHcKs/vvYohm0UOaeGCkTxnNw+3UvReMYO5NjCrfnEi+qL558XyWn2+ufc+QEdRl2Xm42GdFnZyhaOfTCIk2OdHr74sY37o86pfOJ8UtZtV93guLgs+8k2yNzcq54u9vash2vday1ydMmMCir8h4p/x3oUJl4ch4L1++PDZv3pzmpcuaD6ksEXfCo/4vx5hnqriLPY790FjwSzLdD9r1tLvWLIpZnSoLvU2sop25MSfjo9LkA6D61L4V3bCsp3W/68nlpjE37nLRg7HzmLX3DpadDGbdnBrThJVgEyLEGk88CpTJlRF/Br2XhrwigrpoLeOdDPloxsEgRCidTmW4O6BwLhvEhT9Eq/pV4VWiIItAUUQeGuBtB3I10ElF9GV76dIlRiDk6uoKKsljZ2cnD+1JOAvewEgx1czyQP/n/CNM2XlLU1qDjKl5X1XB+oshmL0vNd+8ZcUCmPull6BwPCnwkLLP7f5PMXzDVTZEtXzJWN6nPoZtDcTpoJcsnH9dn1qKkS4SgB83X8cGP1UY53/9aqNOKReRPZiuuTXudVqTrpB5Ogymz3QJGekUaq8t5F13dnbGV199hfHjx2s+IsI78p4I9aCYDk3hI1kq7vS8ppBRkkMjGqK0Wy7hiwbQdO5xBL+MNsjAFzWQDBubG3PK1W0yV1Wadliz0hjhkzFpJhksFFpsLTwv5rolzI27udbNe9z9N59j4D9XWLcLvqqC9lVSI7j0jdX89xOMDZ7SaiiiToyQrUS127Vz3Jn3PfwdK1coVMi7TqR06hx3Vh4uvyOLCLDk7zKh65dTO952IHcDXU7KMuVceAMjxdwz0wOdWGUH/3sFEdHxTJW57Gw0JTXIQKWSPEQIYo0PMDqVpRdWevjb2WTFj5Xj0a55Q6y78gILjtxDjWJ58W+/WqLZ7qW4Jy2lzxdR71Hvl6OMjLBS4dzYNaS+rO+dzLTX6UUnIiLiE+M9KCiIedE3btyouc2oXb58quiR4cOHY968eZrPiKyuVatWoJJwusLmqeSc3J8Xlor72fsv0e0vVbioNlmT0OfD1F23sOqMysDf/X19VCps/aVd1boxN+b7bjzHoH9VBs7SHlXRslLGNaEpNLjXygso45YL09pXEs05IPSesPZ25sbdWvQb9jYOtWYeYcuhSkBT2lUUvLQfNl3D5stPmNPj2uQWyG2nP4dcSOfR7xMZSZ3aYFeR1UWzv8UnCSOpo1LBKsM9bci8e1575d1PCAgGtOFtB0pioNNLEIW1X758GU+fPkVsbCyrnUu5hRTq3q5dO81LkgE6kOUlvIGRYpGZ7YFOIZMD1vkxhmC1kKFOp6RNy7lJoWJZ9KkdsvVdA3eUSQzW5KBTiD+9GLnltv6oFp5g/H4oEAuP3GNdzu9SBR28hZ+y85yH0L4y214XqpcnT55gxIgRzJgfOnQo+vTpo7l01apVaX7/uM88efLoNNzJmM+bVxyxmdD5im1nqbhTubRq0w+zUpdVijph+3fimPyvhLxGpz/OMnUNaFQS41qVF6s6i21vbsy1n43Hf2isN11s0ZF7+O2QihRw37AGGZK5WiwoJpi4uXE3wRJNNkTdWUeY11rss4eiNSdsv8nm+c+30kclUjrJrUeh2H3iEhwLlsKzd6qycBQuT6k+QsSGSOpc7FWGu6sjKMedfpbM78DtgEHIPKyxDW87kLuBTuVzJk+ejJiYGKZ/CiWkEHdi9X39WkXgRbnp1Gb06NFWgxFvYKRQTGZ8oFO5jLFbr2PH1Wco7eqIZT2rsVweaxUKt2o5/yQL76eT0k19vHD+zCmNga5r3WR4Eutu73rFZe8hNAduRLZHtZrpC7BgHjucHNNE9ifQmXGvG3tvELnpsmXLmPFO3vf3798L7pIMdDLUFy9enIZvJTEx0aRM85aM+4gNV7HN/ynT+cXxzeAq4hCRoiga/HqM1S+mkE/KJc2aNYtg/Cy5obkx77/WDwdvh8E+ezbcnOKrV+/H7oZj17VnuBMaxaIdiNVaEfEaMDfu4mcs3yu++/cK9tx4juzZsuLG1BbIYSMsr1u7TNsPLcpgSNPSki8yPdzp/YRI6egdUG2008/Hr2I0ZYT1TY5qt6sM91R2eTLeC+a207uv9fWdGT7nbQdyNdBXrFiB/v37Mw85hQ9+nH9ORvq5c+cwf/587N69m70M9e3b1ypw4w2MFErJzA/0Z29imdfYml8G6CW1598XWZ45yYpe1VG9UI40LO4f31fHAsLRe9Ul9meqAf/L55WRi1OYlhT3sDn6/PfCI/y0TXVKPq5VOQxoVMoc0xA1Zmbe66IUlU5jykcnb7uunHfKaU9IUJFMfizXr1+Hp2dq6T3y0O/ZswflypXDsWPHkDVrav1bOgAgMjueYsm4773xnKUlkczs6IlutdxFqeaX/Xfx53EV38CWQXVQrZg8ohpELcKAxubGvMGvR/H4VSy83Z2wbbC4yAcDlqtckqIBc+NuTUD8dTIYM/beYUvaOrguqro7C1oeRf5U0pRpc8WKr6UnjhWLOzkYqJyhOlxe23iPiU8StE6qikQedjLe1TnuZMQXd3GAna2wwwxBA1l4I952IFcDnV5MyIuwdetWvWru0KED81LcvKl68bV04Q2MFPoQu7GlmIPSp3Qa0CY7aVI2P1Z+UwORkZEZGuiHbodh5IariEphEy2RzwF/dK+qhB2mwER1T4kIhgioHLJnw9lxzZAnJ588M+nuBDDSNO3yelKOldn6TkpKQkhIiE7j/erVqyxCTC0NGjQA5bZTzXYiTtUWymm3tbXVhM1TbXd17nupUqVYWphYsWTciTuj6rRDLMeSnl+retcUtXztcm1f1ymGqe0ribreUhubE/OouAR4TjnIVNe1pjtmdUo9nLJUfVrKvM2Ju6XoSOg8/R6+Quel51jziW0r4Nv6JYReCkPLtAke4KOGvHAnh87zyDgtwz2VZT7srbDoMcq9L+pM4fIpHndNzrsD8jpkPpI63nYgVwOdXigoxO/bb7/Ve+/9/fffGDJkCMtPtwbhDYwUOqGN/cf2k+juWwfFCuaXYgilTzNpgEL5yZCkvHsK0zowoiHI2BbyMH/4MpqR/Nx5rsrVp5IeVNfzi+pFzbQa+QyrXWO5T70SmPRZBflMLoOZCMHdIhZi4ZOcOHEiLl68iIIFC2L16tWa1VC6l768dWKb10VWR8R36XneLR33b1ZdxPGAF+wZdmWSj6gKG/TCSc9AysckBuPz45rBJltqxIKF30rpTt+cmF9+9Aqf/6kybKa1r4hedYpbq5plty5z4i47ZRg5IfIyU6lASg1sW7kgFnerKrjHmXvvYLkBZdoEDyCRgZ7R+HTwFvxCuyyc6v8PI6KRkCSspruTva3K4/5RyHwR55xW+1zmbQdyNdDd3d3x5ZdfYu7cuXrvvVGjRmHTpk3ME2ENwhsY3jqhmo1jNlzB/jsv0d7TFQu6Sx+Kw3sNSn/pa0CbqGdw41IY07Icayz0S5y+oCbvuKUpI0bXflm9CGPZzcwhTF8tP4fzwa9AaZInRguvkWrue1Uo7uaeZ2YdPzw8HJMmTdJ44R8/VpXvEyIUJk/ftYMGDcKYMWM0l1DYPeF+9uzZDDknhIxhrjba6SQUydPaM2NG8I/nueDwPcw7rCIg+7dvLdTzUDH2W7OYc69rk2RtHFBHLyP7/puhrBRv1WLOClGpkTelOXE3cuqyvLzd4tO4/iSScVicGdtU8By1U3MWdfXGZ16FBF9rSENz4k7lESmnnQ5BtUPmKe/9bZywmu50+Fo8XwpJnZbxTtxQxIVkycLbDuRqoP/4448sv3zOnDkYMGCAzlN+yrtbunQpe7GgPPVffvnFkvHQzJ03MLyVQuWh2iw4gXsvVOR9pmCc5L0GpT/dGgiJiEHzeSdYCTAiMTsyqhHss6sedGIf5pv8HmPijpuIS1CV8ihfMDcLeSdvfGYTikrou/YSzgRFoE3lglgi4lTd3LoSi7u555vZx6dIMspt15Xz/uzZM53qmTZtGshDr5adO3fi888/B4XOEx9M69atNZ9FRUWx0Pts2eSdL0gljzovPYvm5d3wVQ13lC0grh46kSQ1/e0EW3eX6kXxS+fKVn9rmXOvT9h+A/+cVzlZqMyUvvSftotOsaoq5EU7/aNwI8jqQTRggebE3YDpyv6SyTtuYs25R2yeYkgqid+ISGRJKDSeQuSlFDnizkqdRsen1HRXGe9qsjqK6vwgzOmOArntUnLcHdKUiHPLncMiCIx524FcDXQigaMXhH379rH8OS8vL1ZajcLxyDCnkmvXrl1jYe2+vr7Ytm0bY3i3BuENjBQ6OX3nMXquuYYPyMK+IA+OaKgx5KQYT+nTNBrot9YPlEtOsribN9pWTj3BNeRhfjf0LQb9c4XV3CTJlcMGc76orLe+rWlWa/pRbj2LZFEEFK5lKWII7paytsw2z3fv3jG+lo+NdzrkJkJWtVAFlR9++IH9evLkSVD+u1r69euHtWvXsrrwusLmixQpkobAzpw6ppc9Y+rNq41AqgPsN8EH2W2sO8zdnHu9859n4ffotSCvIx14EqEWlYpq51UIC7t6m/M2s/ixzYm7xStPxwJ2XH2KJceC4F3UGd8380AR51QukYzWS88rqqMeHvUe1Yo5Y8ugupKqx9Jwp32vqemeUhLufvg7BL98p3EE6VMY8f+oa7pXLpIHvesJ5wjQ1zfPz3nbgVwNdPVCiaH9v//+Y3XQ6fSfSq7R6X2hQoVQrVo1dO3aFW3btuWpF7P3xRsYKRZEG3vEmlM49lz1wmJJObVS6MMa+tRmYa9T0gX/61crzcutoQ9zykEau+UGKz2iFjodHtuqnOxLjFkDrsauwVDcjR1Xud58Gti7dy8zwv39/XHkyBGQ0a2WRo0aMaM9PaGDciKm02W80/e2MQazqTWy7MR9zNp3lw1LlSyaV3Az9RRMOp659joRaFaeehBE7tesnCv+/ibjtLmLD17hy2WqfPXJn1WQ7Uu2ScEzYjBz4W7ElK32UnWpQeLvuTnVV9J3JGvBnZ4fzyJjVeHy4e8QRMY7KxEXjZfv0iepq17MGZslPgQx9EblbQdKYqAbujhLvo43MFLogjb2oaMnsCDQEU/exIEYGOm0T2hJCSnmpPRpuAbeJyah5fxT7HSSysftHdrgk5BQYx7mdDK8+uxDEAmKmhikqrsTI1Ap5CSeYdrwlSpXitWAMbiLHUtpLx8NpIc7pZ5dunQJgYGBzBNP1R2ECh2uV61aFadOnUpzSUREBCO6k5vxTiGV9VJCTttXKYQFX1m3p9Zce51yUan2PMmQJh74wbdshreU9sHJju/qwauok9BbUGmnQwPmwl0B41MN/HE8CL/uD2Af7BpSH55F8kimpsyAe2RMAu6/TDXYVaXh3rFycV9UK4LZn8szdYm3HagY6Jy2EW9gOE0rTTfqjZ2zmBf6r7/FPivj5ojd3zew+jBAKfRp7j61vxTSi4bg8TC/EvIaQ/69gmeRcWzJzva2mP+VNxqVsc5KABQ9MPdAAHrWKc7yoSxReOBuievO7HMWgjsdvL18+VJnvjsZ7xRS/7GQgU4RcWpJTExkaWz07/vvv8eMGTM0n1EKW3R0NFxcXAw23smDQhUULj96jV8+ryy6H3XotX32bLg8wQc5s8s7996Y+1YI5sb0n961B2+Fov861T3xcWqVrmsGrruM/bdC2bvGzSm+yjuHkaCYC3cjp22Vl5+9/xLd/rrA1vZz+4rs3UEqycy4E89SbEKSXq4LqXSvr1/edqDZDHRirX3w4AEaNmyob80W8TlvYKRYtPbGnn0kBOsvqZiDhzcvjeHNy0gxpNKnhBrYfPkJpu+5DZusWXD0h8bIbfdpfW5eD/NX0fEYvuEqTga+YCvyKpIH2wbXQ1aiN7cyWXEqGNP33GGrstQQWV64Wxm0Vr8cY3En4z0sLEzjaVfnvVPo++zZszX6I0I7Dw8P9vvkyZMxZcoUzWd79uxhKWxOTk46Q+apL2dn5wyxmLHnNv469YC12TesASOrFCNrzj7E5J2qQ2ghxqOYvuXW1ljMDV3PwiP3QNVDSA6PbJThYaap83QNXZMlXWcu3C1JR2LnSvfpk9ex8H/8huWTE6O7EKE0D88pBxgZWqeqhfH7l1WEXGZQGwV3g9Rmkot424FmM9DpxJ3KzCQlJZlEcVIPwhsYKearvbGz5HCAz+8nGLGFbbYs2DO0Acq4iWPMlWKOSp/iNPAmJp6F/lQrllfnhTwf5pQzRCQqf595gJ3f1Ye7izASFXErMn/rvmv8cPhOGDulPTeuqUUSKfLE3fyIKDMQqgFT4f7kyRMsWLCAeeH79++fhjGewulHjBiR4ZTz5cuXrvGeK1cuqPOV6buJPOidqqbm0wvRxYuo96g18zCSPwC+Fd2wrGd1IZdZZBtTYf6xcgb/exl7b4SC8m5vTfXNsLaxNtN13/olMEFipmuLBFLkpM2Fu8hpWlRzbU/4jI6V0L1WMcHz9513EgFhUSiZ3wFHRzUWfJ3YhgruYjVmuva87UDFQOeEHW9gOE0rTTcfb+wDt0IxICVErUpRJ5aPTrnMiliPBqR4mFN+UB77tN56eiHOnyuHVSiOTtHP3o8AlXwSaxjIRQFS4C6XtSnzSF8DcsCdyOioQova+x4cHAwKiRcqbm5u2Ll7N8KzF0LDMvlZZBB59clwp3x4odJjxQWcDnrJQqn9JjTXGWEktC85tzMX5k3nHkfwy2h4Fs6DXd/Xz1BFe64/x3f/u8LaULlKKlupiHEaMBfuxs1a3ldTehsRH5In/POqRfDbl16CJ/zj5uvY4KeKSr02qcUn70iCO9LTUMGdlyb598PbDuRqoFNdVqFy4sQJHD9+XPGgC1UYh3a6Nrb6FJy6p/qNxNStiHw1kJiUjLjEZDjmUNU51yemeJhfCI5Ar5UXMdq3LLt/5EYapU9H1vi5KXC3Rr1Z+prkiDsZ548ePdKZ805pbsnJyZ+ondq7u7tr/k7lW7du3YoyZcrg7t27aZ4xVIKOGOs/Ltm64VIIftxyg/Ux9wsvdK4mzgtvKfeCOTCn0kkVJu9nhgyRNs35ImNDZvru21hxWpWycHZsU4VklMPNZQ7cOUxb9l0sPXEfxfLasxB319zCy0D/dzEE47aqnjdr+9Rkh4tSiIK7FFrl06esDfSsWbOyL07yQAkRaquEuAvRFJ82ujZ2eFQcfH4/icjYBOS0zcZqoxfNK9xLwWdmSi9CNbDqzAP8efw+fmpTntWS1WcMS/0wj4lPRJO5xxH2VlUWY9vguvB2zzi/VOhalXaGa0Bq3A2fmXKllBqwNNzj4+MZF412jXf6nfLY6X1CLZ6enrh58ya8vLxw9epVzd/p/YG86gkJCcyg1y4TV7hEaYy/mAWJyWCElmv61JRS9Wbr2xyYX338Bh2WnGFrntS2AvroOdj//M+zjPDPLXcOnB/XTO/3ltmUaUEDmwN3C1KPyad65/lbtFqgqnQx0qcMhjYrLckcFNwlUSuXTmVtoFNeWfXq1bFkyRK9i6U2lMOmGOh6VcWtQXobe5PfY4zefJ2NU98jH9Z9W1P5AuWmdX4dURg5hRVGvU9k+dEnRzfRG0Zlioc5pUr8sOkaetQuhh9bluO3YBP3tM3/CeqVyifq1NzEUxQ8nClwFzwZpaHJNGCNuCclf8C0+csQGuCPwoULM+4atTx8+BAlSqQf9ZW/00TYl64FJCfB49ZKlC9ZlBnx5Imnn8WKFYONjbBoJJOBKHIgc2C+/mIIxqZ4C//XrxbqlsqX7qyJebnSlAOgny0rFsDSntVErlBprksD5sBdQSJ9DdBziojiYuKT0LScK1Z+U0MSdSm4S6JWLp3K2kD39fVlJ+GUc6ZPFJI4fRri/3l6G5siHihE+dS9l2zQOZ0r44vqRflPQOnRKA3EJSRh+clgRtRGJDs9a+snMDHVw/zJ6xgUyG2XhiiI5ksEQvq8/EYphdPFVEu+6W/HGSM+HTL0bVCSU8/m6cZUuJtndcqo6WnA2nBfe+4hiC2cIrwuT/T5JI88PDwcK1euTOOBDw0N1ajHvnxD5G83hv0ecWAJ3l3dl0Z1ZJxPnDgxjdFPNeJfv36NokWLIls2+ZdnMwfmU3bewuqzD5kur0z0QV6H7OluSm1v+7hW5TCgUSllA3PQgDlw5zBtq+6iy7JzuPDgFdsPlyc0l+TdR8FdvreQrA308ePHs1IsVGM1b17drNJq1U6fPp19KerKP5Ov+tOfGW9gpNBBRhv78asYtJh3ktUYbONZEEu6V5ViCkqfHDTw9E0sM4aFEPqZ62FOufI9/r6Awk72mN6hkuzrEE/cfhPrzj9i6FAorKXXeDcX7hxub6ULIzRgbbhr55Ev7OrN0nr0SVRUFCgvnZwFtwPvY21UBSRnsUHS87t4svaHTy5fuHAhq+WulnXr1qFXr17Inj07jh49inr16mk+o/B7MurJk68dgq9vTlJ+bg7M1YYIhaxfGN88w+VRWtbUXbdZm40D6qBmiYzfDaXUlTX1bQ7crUl/Ga2FokrP3Y9ADttsmNXJU/CyZ+27g2UnVA5KinCUotKNgrtgOEzekLcdyJUkjk6uAwICWJi7g4ODyZVjzgF5AyPFWvRtbCK5IKOPSF8swesphY6srU99mEu13t8OBmDR0SDWfbkCufBH96oomd9RquGM6vd1dDzqzD6CuIRklHXLhf3DG1j8/W8u3I0CQrnYaA1YG+4v371HjRmHGRnZZ16FsKirt2gdEXs4sYhnyQLsH1Qdb8NC0njcv/vuO9SpU0fTLzkOfv75Z/Y7GeTFixfXfPbFF19g8+bNyJkzJ0qVKqUJldfOfS9QoIBJnx+mxpwi7qpMO8SiGoTk9g/9zx87rz1j7xY3p/jK/rBW9A1mpgtMjbuZlmmWYbuvOI8zQREslfDqJB/B+3n/zecY+I+qWsGCr6qgfZXC3Oev4M5dpdw65G0HcjXQua3SAjviDYwUKlA2thRalb7Pu6FvUSq/I2yzpZImCR3VXJjTnAf/ewXBL6LZVB2yZ8MvnSujbWX9HjCha+PVbvHRe5h7MJB192vnyvjSCtI7zIU7L0yUfgzTgDXi3vnPs/B79Bq5ctiwMHcqmyZGtMuJTmhTXm/6CpWJO3ToEO7fvw/ypmuHuVepUgXXrl3LcHhHR0d4eHikIaxT57wTTw/vw29TY/48MhZ1Zh1lOhjQqCTGtSqfoT4a/HoUj1/FolLh3Nj9fQMx0CltM9CAqXHPTGDMPRCAxcdUDoajoxoJdi6ERsah9qwj7Lre9Ypj8mcVuatNwZ27Srl1yNsOVAx0TtDwBobTtNJ0Y8jGTk7+gKxKbXQp4BDU55uYeMaSns8xB6a2r5ghGY+uDg3BXNDEBDR69z4RY7dcx+7rzzWtv6lbHONblxf9ki1gOIOavE9MQv1fjoEI+EjHZ8Y2QQ4b+eed6lusOXHXNzflc+k0YI24LztxH7P23WVKIwLTBqXFlS8iLowa0w8zck2vInmwY0jGNbszQud///sfY5PXZp2PiYkRDGjFihXZ9dri5+eHkiVL6k0LTG8QU2N+9G4Y+qz2Y9OZ36UKOnin7yWMfp/ImK1DXsUwzpSfO1QSrCulYcYaMDXumQmPI3fC8O0a1T3+2xde+FxEicbaM48g9G0cvN2dsG1wanoML/0puPPSJP9+eNuB3Az0wMBAFCpUCHR6LEYoB53yxahEysd1TMX0Y+62vIGRYj1iNjaFr83ed4eFFs7+vLIU01H6FKCBSTtuYu05VW60EO/Px12KwVzAdEQ3oXBIyu3+efdtJCSpyi9WKerEOA4KO+UU3R/vC7QrGIzyKYPvJSqNwnve+vozN+765qd8Lo0GrBH34Bfv0PS3E0xhveoUw7T24o08qjKx+fIT1seJ0Y1RzIVPCh49354/f66zxju918TFxaUBukmTJiyvXS1v375Fnjx52K8jR47Eb7/9pvmMuHyIpZ7C59VtdN01psacSErnHAhgUzkwvCHKFsil92amVIWEpGQUzGP+Z77eyVpIA1PjbiFq4TLNiHfvUW36YdZXj9rumN5BeB76wHWXsf9WKHNCUEqH2IgffQtQcNenIfN9ztsO5GagUxgYhYN169ZNlHYiIiLg6urKQsqaNm0q6lo5NeYNjBRrE7Oxe/59QcPq/m/fWqjnkX4ZFSnmqvQJ3HoWic8WnUbyB8DD1RH7hjUQHeYuBnMpdU5Mvt/9ewVEcEfiZG+LeV2qoElZVymHzbBverkm787d0CjY2WbFubHN4JwBG7HZJmrAwHLB3YCpK5cYoQFrxb3Zb8dx/0U0Cuaxw9mxTUWHiZ8IfIGvV15kmv2hRRkMaSpNjWJt6Mj58PTpU5DzQu1xp7z1EJpHmgAAIABJREFUwYMHa5qp3xvoD/PmzcPw4cM1n/3777/o0aMH+z1//vw6890plD4xMREnTpxAo0aN4OTkZMTdI+zS7//zx65rz2CbLQtuT2sp+jtJ2ChKK30asNa9rm/dpvq80ZxjeBQRg4qFcmPPUOGpGUtP3MfslIifHd/Vg1dRvntSwd1Ud4D4cXjbgdwMdGI0pbrm7du3F7WqV69eoWrVqjh8+LBioIvSnPjGYja2f8hrdPrzLDzyO2LuF17cHzLiZ5+5riDj8Yul51juJck/39ZC/dLiD0nEYC61homMbeTGqzgW8EIz1PdNPTC8eRlBjPS853cy8AUrL0gi9pSc91x49ycn3HmvTekvfQ1YK+70wksvviS7htSHZxGV11mokPe21swjeBUdz4ggD4xoKPRSSdsRse6WLVuYAU/OjZo1a2rGmzJlCqZOnap3fCKlc3FxYe9RFEKvznenwwAis+MtPr+fwL3wdyhfMDc7NFbEPBqw1r1uHm1+Ourw9f7YflVFbnhjSgvYZ7cRNLXzwRH4avl51nZqu4r4um4qyaSgDvQ0UnDnoUVp+pC1gW4M+YniQZfmhtHuVezGPh4QjjqlXKwiJ1d67fIdYZv/E4zYoCIjau1ZAH90r2bQAGIxN2gQERcRp8GfJ+6DWN4pMoCkbikXLPjKG/lz5RDRk/FN1VEixO58dFRjlMjHJ+zV+JkZ34PccDd+RUoPQjRgrbhffvQan/95lqlgaFMPjGxRVog60rSZsP0G/jkfwv4mNDRb9CAcL7h69SrzjGvnuz969EhwaVp6H/P394eXl5dmVtevX4etrS3Lec+RQ/zzlvL5K04+gKTkD+jkXRi/d6mS7oqpDR2ImPq5zhECWXdlrXtdLkpfc/YhJu+8xaazoX9t1CrpImhqxLvgOeUAe7/p6F2YRQryFAV3ntrk25dsDfQ1a9YYtdKWLVvCzc3NqD7MeTFvYKRYi7KxpdAq/z6j4hJYziURl1Ho9ZFRjQ3O15Yr5mfvv8TQ/66CchNJXHPlwOJuVU1WIzcgNAq+80+ysX0quOGvXtX5A2nGHuWKuxlVkimGtlbc6WCv5swj7HlBZRv3DxfvAb8QHIEuKZ6tIU088IOveCPf3DfR+/fvWek3baP99u3boH+Us/6xREZGInfu3Jo/N2vWjOXAFylSBI8fP07TnJwkVFKO/pERr0tuPo1E20Wn2UfjW5dD/4al0lXJnedvWQpREeecjD+lZaWC5lafVY1vrXtdLiBdf/IG7RafYdMZ26ocBjZK/17/eM4t559kqXN06H/sh8Zcl6TgzlWdXDvjbQdyC3HnukoL7Iw3MFKowNiN/eBlNDMUeZNeSLFWS+5z5t47WH4ymC3BWOIyYzGXUo/hb+Mw5D9/XHzwig1DoWSjfctiQMOSonNMxc5z9KZr2JRCGrVxQB2THQyInaeh7eWMu6FrUq7TrwFrxp0qQqy/pDIqT41pgqJ57fUrRKsFGfl1Zx9lDMvFXOxx/IfGkj9nRE3QwMZqzCk8njh91Mb7s2fPMH/+/DS9Fi1aFE+ePGH56sePH9d89u7dO+TKpSJ7Iz6hEiVKpCkTp67z7hdhgzFbbrB2a/vURMMy6TPq/+9CCMZvU7U1hH3fQHVkmsusea/LAcT4xGRUmnIA9NO3ohuW9RR+iD9u63X8d1H1rKI66k722bktScGdmyq5d8TbDlQMdE4Q8QaG07TSdGPoxqb8PSp1s/BIEChn2FqYrqXQsbF9BoVHoeX8U0hM/gD3vPY4OKIh7GwNL/tlKObGrkPo9YlJyawGuTq/1FCWZqHjUbvwqDjUn30M8UnJrOzS9u/qWcWLurYO5I67GLyUtsI1YM24a5c+mtS2AvrULyFcMSktp+++jRWnH7DfpCBwEj0hDheIwZzy3Ym0rmDBgvjmm280o1M4vbe3t97ZuDTvD8dq7Vi71vGn4Fm6mMaQJ+OfuIjUQmkJO68+hf/jN1j3bS3kyanbK693UKWBTg2IwV1RoWEaoLQauo8pwu/C+GaC3xM2XArBjykHWat710BjjmS4Cu6GYWmKq3jbgYqBzgk13sBwmhYXAz0yJgHN56lCrrNny4q9w+rDw1V/aRUp1mDNfRIxXM+/L+J0kCpU8e+vq6NZeePSPizlYX74dhjWnHuIFV9Xl5zzYO6BACw+FsR0vKirNz7zKmR1t5Wl4G51ijfzgqwZd8p/9p52CLEJSahT0gX/9a8tWtvXHr9B+yWqsNW+9UtgQtsKovuQ2wU8MCey3oMHD35SLo488tri2mU6chavgqTo13iyuGeazyZOnIhp06Zp/kYh9Pfv32cGPJXgNYajSG46l8N8eOAuh3XIeQ7aB3pUPaKQwNKw2il0w5uXZkS4vETBnZcm+ffD2w5UDHROGPEGhtO0uBjo1Mn+m88x8J8rrL+q7k7YNLCuWZi3pdCLXPrU1nGTsvmxqncqo6+hc7SkhzkdUGi/xFFI6vHAcFaKjdfLXUx8IgtzfROTwNI1qCayTbZUr4+hepbbdZaEu9x0Z8nzsXbcB6zzw4FbYey75/KE5qJDR+kZ03jucVY+qUBuVcm2rFmzWDLkkBJzMtzVIfOBgffwv9jKSMxmh4QnN/Ds33Fp9LZ27Vr07JlqtC9atAhDhw5lbS5evIgaNWpo2p87dw5JSUnMeKcyu7ye7xYNpMjJS4m7yKlYbfM915/ju/+p3nuXdKuKNpWF8SgQQWLlKQcQHZ+ExmXzYzWHdzm1khXc5Xu78bYDFQOdE9a8geE0LW4GOnU0cN1l7L8Vyvqc8lkFfFNPfIihFOuyhj5j45PQ/PcTrE44RSlQGSAerOKW/DBfciwIcw4EMCbUGR0rCS5zktH9QOR036y8xMLbibiob4OS1nD7fLIGS8bdKgEx0aKsHffNl5/gh02q6hbzuniho3cR0ZrVjqARw84seiATXWAqzCk1qOaMI2xV39YvgYG18qfxuJNxXrZsKvEeGedkpJO8fv06TY12Hx8fVlqXhHLf1TnuH/+k8nGK8a77RjIV7ia6jWU5zLM3sexAn0RsxE3X5edxLjgCzva2uDLRh9t9rOAuy1uFTYq3HagY6Jyw5g0Mp2lxNdCJ1IuMyLdxibDPno3lRxdxFkfUI8W6rKHP3w8GYOFRVdj1d01KYbRvOS7LstSHOdVMb/jrMUS9T4STvS32DG1gMJP9x4qkVA0iMOpTvzhy2VlnXqSl4s7lps/EnVg77lS2q/r0Q4yXY0TzMujXUPwBW2BYFFrMU1Vw6FHbHdM7eFr0HWMqzE8GvkCvlReZruZ+4YXO1dI/HCG+gOsBwXj/PACxoQ8xdeqUNDompngqGadPnJyc0jXenZ2d9V1u1Z+bCnerVqKexVHETe1ZRxD29j2qFXPGlkF1Bavjl/138efx+6w9EVIW51TGVcFdMAQmb8jbDpTMQD958iTKly+P/Pl1s3xSSRAqDdKwofhyKSbXuoABeQMjYEjRTXhs7I2XHmPMlutsbGJwXdO7BreTQdELspILQiJiWI4/sYUWzGOHI6MacfEWk3p4YG4uNRNh3uB/r2Bc6/IszF0R4Rr4P3vXARXV0YU/QbA3VOy99y52FETUGHs0dqMmMRoTS0xi+W2xxBJjSewauzEaY6IxFkRRsQVExd4riqgoINL5z50NuOjCvrc7b/e93ZlzPAh7586d73vz9t03d+7VMu/SZykk30bAHngPuPMc1YvlMSt5pvePR3A1NBIuOZxZ8icnDR9zsRTnK47cxMw9V9glt3tEM8ZBem3AmtPwuxaGnFky49zkNu8ch6Pnw6tXr7KEdSkh9HRencrISWnVq1dHcLAuQzy1pKQkbNu2jTnzFStWRM6cOaWo0bSMpXjXNEgcjE+JHKXqRRemeEuuYrTv4mN8uiGQWbCgZ210rlOMgzXafqbjAoCKlfD2AxVz0KlUx4YNG9C7d2+DcG7dupV9RueQbKHxJkYJTHjc0OmNYt/Vp+B/Q5c8Zn6PWuhaV36YoRLz06rOj9cH4MClUGb+T73roENNfknLeHBuTVwpy/vbZ8Svh0aiZP7siieTs+a8zR1b67ybO3977S94l8b8T77XWfUIausGNYR7BuXCpGm0npSlOB+19Sz+CHrInO1L07zTvf9S7pA63x3Ay9fxaFo+PzYNkZbMj54FqQScfo33FAf+1q1bSEhISAW5S5cu2LFjR+rvlJCuZMmS7Pfx48djxowZqZ9R36CgIOa8ly9fHtmz20bUn6V4t96VrY6Rf/G/jV3nQlCnZD584VlBcjUCijhtOFN3JGRgk9KY0rEalwkJ3rnAqIgS3n6gYg46ldvYuHFjug46Oe+DBg1CfHy8IkBZWilvYpSwn9fCph1f7wVHWDZdCj/2Ge2OAjmzKGGyXegMfvASk/66gKyZHbH5YzeuEQm8OFcLEaERMXhv0VGWTZWStkithUxhrY9exqBFhQJc8VULLm/bYWu8qxVntdkleJfGyN1nr+A+V1cHnEK1KWRbq81SnLddcARXHkeiYqGc2D/KPV24boZFwfMHP/b5563K4yvvN+fSTcWYnHMKiU9x3kuVKoWOHXXl3qj5+vrC09OT/f+XX35JU0Lu559/xueff54qW6xYMYNh8+XKlUPWrFlNNdHi/SzFu8UnZkMDNpl1ECEvY1CrRF5W1pFHE7zzQFEZHbz9QK4OekREBAuppUZnjBYuXIhOnTq9gwQlDBk3bhwuXLiAe/fuKYOUhbXyJkYJ83ku7FVHb2H635eZmR1qFsFPvesqYbLd6KRdh4iYeNlZiY0BxJNzY2NZ4vORvwZh59kQNhTV1aUIDiml6D7ffAa7zz9CpUK5sO2zxshto2fPUziwNd4tcW3Zwhj2xDsdCTp1+xmalitgUib2Tj8dw7kHL5ErS2b8O7G1WSHz1rx2LME5YV1t8l7EJyajY62iWNQr/Zrp+on8eJQKlYItZZunzPDkwHfo0IHtlKe0kSNHsmdRY42S0VEtd/1EdRQuT7+T8545c2ZjKiz6uSV4t+iEbHCwYZsCsSf4MUv8Gzy1DZeoP8G7ei8U3n4gVwd96tSpaepgZgQjhUpT3UzqYwuNNzFKYMJzYVMZia5Lj4PqylJb2b8+vKqaV7NbiTnbu06enKsBy5fR8Riz7Sx8Lj9JNWdYy3IY7VUx3XJplFjKbaYPe7h0K+OCrZ82VsNUFLXB1nhXFCwbUm4vvP91LgTjdwQjKjYBO4c3Re0SeWWzqP+SeXm/evCuVli2DjV0sATnVx5HoO2Co2y6X7ethGEt3zjAb2Mw4Y9gbDql23ihUnj5rRxdRzvvZ8+efafGO4XTS203btxgTnpK27t3L+gZlrLWly0rP1Gh1HEzkrME7zzstGcd+nkb/hjWhIXJm9sE7+YiqFx/3n4gVwf90KFDLNSIblwzZ85ku+eUzEO/0VvKHDlyoH79+qkhScrBZTnNvIlRwnLeC/vq40h0WHyUOT6FcmfBgdHuNr8zyYuXxy9j2Bm9SoVz8VJpUA9vzhU1VqJyijZYcfQWK8FGL4qokeO9uHcduOYyHKJ4++krrDl2Gx5VXO0i4Zwt8i7x8rBrMXvh/ez9F+j8sz/j2tSqF3QPbvz9QSQng9U3piMzWmyW4Hxn0EOM3HqWwfPLwAZoVTn9pJ3tFx7FpUcRKJU/O/zGtlItpNHR0aDEdLTrrp+sjn5//FhXTpYa7Zy/fv06zQ56vXr1WEmlqlWr4uLFi6my9Oy7bNky5szTzjudi6d8TEo0S/CuhN1a1Em5cK6FRoHuO+1rFJYc6Xj69nP0WH6CTXny+1XxEYfSxIJ39V5BvP1Arg66PmwfffQRhg4dCjc3N/WiydEy3sRwNC1VlRIL+8cD17Dw4HU2Rq+GJTGrq7ZL1iiBuyGdFHL9z4XH6N+4FL5pW1mx8EolOLcURsbGOXXrGT7fEgQqm0atYK4sWNyrDhqVzW+sq81/bsu82zx5ZkzQXninl3RDNwaiful8aFutCEsaaUqjh2d6iM7q5IDAiV7IkUVdYcxS5mQJzmf9cxnL/W4xc06M80CRPNkMmhYdl4Dqk/eB3pt2rl0UCz5MPxReytysJRMZGQnaNSdnPSwsDMOHD081hZzwPHnygGRoE2rnzp2pn4WEhIDOuKc0Z2fnVGf97RrvJEe5mkxtluDdVNtsrd+OMw8w+rdzbFqr+tdHa4nRoq/jElF9yj62kdCpdlEs5LAeBO/qvbp4+4GKOejqhVAZy3gTo4SVSizs2IREdFh0DNefRDGTt3zcCI3LCQcpI/4uP4pAu4W6cME6JfPi96FNTDpDKeUaUYJzKeNaSuZJZAy+3HIWJ27pqgo4ZAJLSjS0RTnFMLXU3MwZx9Z5NwcbW+4reJfH7saTdzFx5wXWaeGHtdGpNp9SSPKsME/aEpxT/XOqg055P85O8ko30ebJW8/w4YqTbEJTO1bDgCalzZucCnuTgx4QEMAc+AIFCsDLyyvVysOHD6NVK2lRA9myZUvjvKecd6eoUxcXF6MztwTvRo2wE4FbYVHw+C/xodyIHd4RJYJ39V50vP1AxR30K1eusDAiSuJBN7a3W//+/dWLtgzLeBMjY2jJokot7DP3wtFt6XEWKti8QgFsGGwfUROSgTcgePjqE3y3+xIW9KyDGsXTrydrzhjUVynOzbWLZ38KP/vR5xp+PnQzVa1nZVfM7l4TFMaaUb1ennaoSZc98K4mvNVii+BdHhPPomJZKSTa4WpdxRWrBjSQp0AF0pbgvOEMHzyJjEWjsi749ZP0c3gsPXwTs/fqaqX/9XlT1CwuPzeACiA12YRXr16x+uz6peJS/k9JlKW0efPmYcyYMami58+fZ+H0tANft25dkGNvL9/tUvCyhAz5Lkv9bqJmsbyoWSKPrKOc4/8Ixub/cjKc+Z8XXHI4m2WyJda7WQbacWfefqBiDjplZ+/Xrx+OHTtm0DEnDuk8uqiDbrmrWcmFPX33JTaR0W0qIruz9sIELcfCm5EoTNOBtnwVbEpyrqDZJqn2vRKKUVvPsbP91Cg7c2RsAhqWccGMztVRoZCy5/1NMlqhTvbEu0IQalKt4F0+bQPWnIbftTA4OWZCwAQv5MnuJF+JFXsozTm9xKg33YfN0Fg950/WB2D/pVBkyeyA4CnecM5segi3FSHlPjQ5eE+ePDHouJMDT+fhU9qff/6ZpoTcd999h0mTJrGPr169Ctppp0a8z5o1C2XKlEGdOnWYAy9l55375ITCDBH4LeA+vt5+nskYy98gBUql17sUG4SMYQQ046C3b98efn5+LFmcu7s78uUznL2Q6lnaQuNNjBKYKLmw6QuIXriIpi4ElORcXTPVWfMgPBrDN51h5ZNSGj0k+n/jwc6o20uzN97thVdj87Q33u88fYU/gh7i4JVQrB/kZtLulH5ZsNndaqBng5LGYFbV50pzfvzGU/RedYrNOSN86BmAohEoJ0j9Uvmw/bMmqsJJrcYQbo8ePUp13t977z0UKVIk1VyKMt2wYQNLNkfJ6pycdC+QiPcGDRqwUPuURg7622fdU36nc/OiWR6B66GR8PrxCBv4C88KrOKMOU3p9W6Obfbel7cfqNgOOmVqpzCdadOm2QVnvIlRAjSxsJVAVbpOCnNqVbkg0kuwI12TdEl75JzyIsz8+zLWnbjLgPqwQQl8362mdNBsQNIeebcB2syegr3xrp9dfG73mvigfgnZGEbExKP+dB9Qre9m5Qtg4xBtHdFSmvPVx26z41jU/hzeFLXSKWlHL0ebzT7E5D5uXgYT3qsqmwvR4V0EyHm/dOkSc+L79u2bKhAeHo7ixYun2X3PCL+CBQsy5z3lrDv9n7LQV6tWTcCuIAIUKVlr6n4WzdeiYkGsH9TQrNGUXu9mGWfnnXn7gYo56IUKFcLkyZMxbNgwu6CMNzFKgGaphU3n+dafuMPO9Q1pbp0aoUrgZ45OOqffdclxZHNyxPTO1dGtXnFz1EnuaynOJRtkQcFDV54g6F44Pm5RFrmyaits1VyY7Jl3c7HTcn974/1ldDzqTj/AvmvaVC2EFf3rm0TfpxsCsO9iKEsyeWp8a01F2yjN+dht57At8AEoQO7S1LbI5my4bNiucyEYsSWI4b+kT120r/FmF9gkUkSnDBEgB33btm0sUZ3+DjyVjLt9+7ak46PNmjXD0aO6hLXUaId+0aJFzJGn3fkSJeS/8LJV2lgJPb9boGe5sgVyYFz7KpKn2mfVSfjfeGY0yaIUhUqvdyk2CBnDCPD2AxVz0EeNGsXqQ+7fv98uuORNjBKgWWphpzzsODs6YM+XzVDe1X7O/hrijR4eqWZv8ENd2PX2oY1Rv7TxLK08rgFLcc7DVqGDHwKCd35YakmTPfLee+VJHL/5jL38DJrkZVLJyt3nQ/D5Zp1zqbXs40pz/v7iY+y7i5wS369aprscpu26hDX+t9nnGZVi09J6UrOtGfEeHx+PO3fuGDzzfvfuXSQlJbGpUTnkNWvWpE6TEtzVrKmLNpszZw7Gjh2b+llgYCAoS31KyHzZsmWRJYv9HBsjIFrP98ONJ1GoWCgn9o9yl3x5zN13JTWJre8Yd5QtmFNy37cFlV7vJhsmOrJkjvXq1QOtFUroaG5TzEG/cOECBg0axGpC0i566dKl2RmatxstcltovIlRAhNLLey/zz/C8M1nkCtrZla6xqNyISWmoxmdFNpOmTypda1TDPN71raY7Zbi3GITEgNJQkDwLgkmmxOyR95/8b+Nqbt0IdhyahTrk0/1iutNP4DouETNnZ9WknOqkFF18j4W/v9ejSL4uU/6D51dlvgj6N4LFM6dFSfHe9rc2lLbhEzlPTY2Frdu3WLOO0W6urm9OdKxY8cOdOvWjU2V/t+lS5fUac+YMQMTJ05M/Z1quJcsWdLgmXdKXJdyVl5tuJljj340ybnJbSRncz9wKRQfrw9gQ8/vUQtd65oeQWkq7+bMW/SVhgBvP1AxB50WLyUNM5Y8TGRxl0Y8DylLLWzifOXRW+hcuxhcc2flYbpmdbyIjkOreYcRHh2PnFkyg96eWhITS3GuWYJs1HDBu40Sa2Ra9si7/tnnnvVLsPKKprQvfw3Cn2dDWFf/bz1QLK+unJXam5Kc33gSidbzdQmuxnhVxAjPCgbhoO/8rkuP49z9F/CuVhhL+9ZTO2yat08J3sl5p6Rz5Lw3adIErq6uqTgNHDgQ69atk4QbbcaRk/52wjpKGJ01q3afCfU3WzYOdkOzCgUk4UGJExvM0FVC6N+4FKZ1qi6pnyEhJXg32RjRMQ0CmnHQp0yZIimrN51Tt4XGmxglMBELWwlUM9b5v50XsOGkLlnZxPeqWPxMvuDc8pyrYUTBuxpYsLwN9sp7u4VHcflRBHJnzYzTE1qbFObucykUQ/7b5RrXrjI+dS9neQJNGFFJzvXPla/sXx9eVTOOhnsVm4DImAQUzqNdJ8wECqzSRUneDU2IarynOO/6dd7pzDuVkJPSwsLC2Jn5lLZixQp2Vr5GjRqg8/Bqb3SPoXsNtYxeWBmaR9PvffHwxWvULJ4Hf31u+lwtzbvaOVGTfbz9QMV20NUEmiVs4U2MEjZbc2HTF3d2Z0dJL22UmLs1dF4MeQk6v5eUDJR3zYl/vmwOJ0fL1oW1JufWwFyMqUNA8G6fV4K98r7q6C1M//syI33eB7XQ3YQknBTGXX/6AUTEJKB6sdzYPaK5Ji4iJTnXPzt79OtWKOGSXROY2IORSvIuF7+IiIh0a7w/e/aMqaNSy/R//XK85cqVY+H2jRs3xvHjx1OHjYmJYbXf9XfgixYtavXnR8onVGPKPnYUxqOyK9YMbCAZKjr2Scc/nRwzIXiKt0kvEcV3u2S4rSLI2w8UDjonGnkTw8msNGqsdUOn8zcTdwbj23aV0aWO6WdvlMBEKZ0U8vfBshMIuBvOhpATDsXTJmtxznMOQpd8BATv8jGzhR72yjsdJaIa3ORk1y6RFzuHNzWJzm+2n8fWgPusr7nJnEwywIROSnI+eO2/OHjlCTueFTyljdUdJBPgsdkuSvLOEzTKNk877uSct2vXLlV1XFwcsmXLxhLWDRgwAGvXrk39jMrKvV3+LXv27ChfvrzBM+90ll7f8edp/9u6eq04iRO3niFfdiec+Z+X5HH1XyL+/lkT1CuVzyQztcK7SZPTeCfefqCiDvrz58/xww8/wMfHh4XAbNq0iZ1refr0KSvl8OGHH7I6jLbQeBOjBCbWWNh09qb5HF/ExCexG9qB0e4okNP2M3/+EfQAo7aeYzS2r1EYS/pY50yeNThX4toVOuUhIHiXh5etSNsz76N/O4sdZx4yKnePaIbqxfLIptX/xlP0WXWK9RvVuiK+bG34zLVsxQp2UJLzlLDc+qXyYftnTdKdxd1nr1DSJbtkZ0VBOOxGtZK8WwJE2sQgp51C5HPmzJmaPZ7G/uuvv9CpUyfJZuTKlesd553Ou1Nyat5t9t4rWHr4JlN7+KuWKF0gh6QhAu48R/dlJ5js/zpUxeBmZST1e1tI67ybNGmNdOLtByrmoD98+BBNmzYF/aQwlatXr+LAgQPw8PBgUFeqVAlt27bFwoULNQJ9xmbyJkYJUKy1sFccuYmZe66wKb1fqygW96qjxPRUozMyJh4eP/iBXk5kdXLAwTEtrZZwyFqcq4YMOzVE8G6fxNsz71SfuOsSXZhsb7eSmNmlhuyLgEJY3WYexNOoWJQrmAM+o91V73QqxTnVmK81TVcmt2+jkpje2TCeTyJiWPRC3uxOGNOmEvo1KiUbd9FBPgJK8S7fEv49yHkPDQ1lO+/kwOufeadz8FSv3VhbtWoVBg8enCp28OBBVvOd/JGOHTuCnHpT2v6Lj/HJhkDW9ceetSRHhcbEJ6L65H1ISEo26znYlnk3hQ819eHtByrmoFPIyq5du1jdRDo7QtkgaSelDnJHAAAgAElEQVQ9xUH/+uuvsWfPHlA5NltovIlRAhNrLWwq1UIZXs8/0NUBN7UUjhKYKKFz5p7LWHHkFlP9VZuK+NzDersw1uJcCVyFTukICN6lY2VLkvbMOz3Ut190jCWLy+HsiFMTWrPQbLlt8p8XsO6ELrHnni+ao2rR3HJVWFReKc5P3XqGnitOsrnM6FIdfdwMO977Lj7Gp/85LAt61kbnOsUsOn97HUwp3tWOJ4XEh4SEGDzzfvPmTVAmemp+fn5o0aJF6nTGjBmD+fPns9/J+dfPUE9/j46OThM+n54D/yQyBg1nHGR6BjQuhakyMrJ3WHwUFx5GoIRLNhz9WrdZKbfZK+9ycbKGPG8/UDEHnc6EfPrpp5g2bRoLYylYsGAaB33p0qUYN24cS2ZkC403MUpgYs2FTQ9NlDCN3h5SndT9o1tIriGpBBZK6aSyNG0XHGXzpJC//aNamJwMhIeN1uSch/1Ch2kICN5Nw03rveyd940n72LiTt1L/+86VzdpNzfw7nN0W6oLRf2sZTl807ayqi8LpThfd/wOJv91kc09ozOz10MjsfPsQ1YD/fuuNVEyv0gkZ4kLRineLWG7UmNQRvgHDx4w571hw4bInfvNy7XOnTvjzz//ZH8j7PTPrFesWJH10W/kw7xdJo5+p3Pw3j+dwoNw+RnZKRfTxpP32DCBE1sjvwnHPQXvSl095uvl7Qcq5qBTrcOffvoJQ4YMMeig0xl0ctCpdIOp7dGjR+wFwN9//83eiOXPn58tyuXLl4MWV0aNdu5pF//YsWNMjEo8zJkzB9Wrm1afkDcxpmKSUT9rL+wf9l/FYt8bzMQ+biUxw4QQRCVw4aWTdnD6rT6NYzeeMpWrB9SHZ5WMr0NeY6enx9qcKz0/od8wAoJ3+7wy7J33qNgEuM3wwau4RFQunItVzpCbPCopKRnN5xxiJZGK56OdrlaydVjy6lOK83E7zmPLaV3CvAtTvU2KRrAkDvY2llK82yqOCQkJuHv3Lh4/fsyO36Y0curpDDxljpfaSvSYBIcyDZEpOQkfu1yBW/268PT0NNp9e+ADfLVNl5vI1OdDwbtRmK0mwNsPVMxBr1y5MjtjvmDBAoMOeo8ePdgbq6CgIJPApL4UvkJZIAcOHIjixYuDaiyeOHECc+fOZW++0mvUt0GDBnBxccGIESOYGL0woAv/9OnTGfZNTydvYkwCxUgnay/s2IREtF94FDfDdC9lfv2kERqVza/EVK2ic++FRxi68QwbW24JDqUMtjbnSs1L6M0YAcG7fV4hgndgwh/B2HRKt0tlarbkWf9cxnI/3TGlHcOaoG5J0zIuW+IqVIrzzj/74+z9FywS7MjXrSwxFTGGDASU4l2GCTYjShnlb9++bTBs/t69e6DNF/2Wq15HuLT+hP3p8cax8KpTjh3pTWkUNTxx4kTmS5AflJIM+8aTKLSe78fERniUZzkb5DbBu1zELCfP2w9UzEGfPHkyy+Du6+sLqnVIIe6UpKFVq1ZYt24dBg0ahO+//x5jx46VjR4tFjc3N9CbLzpnQm+/5LTu3btj7969uHz5MkqUKMG63r9/H1WqVGFlILZt2yZHHZPlTYxsAyR0UMPCpkyWHyw/AbrflSmQg+1wZHVylGC9ukXomuz0sz87Z+/s6MBC26Vm91RyZmrgXMn5Cd2GERC82+eVIXgHLoVEoP2io+w+POn9quhrQtKyCw9fosNiXXTdwCalMaVjNdVeUEpwTlEE1Sbvw+v4RLSpWggr+tdX7fzt1TAleLdXLDOaN+2sU612/UR1wSGRCKnWh3V77rsaQ5qVTj3fTn+jyNzmzZuzzymi95NPdM48W1f/24PXiUCpLNH4tlFO5sRTtvnMmaXlyxC8q/cq5e0HKuagU5bF1q1bIyAgAPXq1cOpU6fQuHFjUOk1yuhOIeWUNM7JyUk22uT0UzgJvbHq0KEDC01xcHCAs7OzUV1RUVEsFJ5KvNGLAv1Gie22bt3KysDJdfp5E2N0IiYIqGVh6yfhGepejtVHt4VGWW9/9LmG3NmcMNqroiqmpBbOVQGGHRkheLcjsvWmKnjXgUGhpK0qFTTpjCf1pxeunj/44dbTVyiYKwtOjvOEo0MmVV5USnB+5+krtJx3mM33C88K6X6fHbv+FNdCI1GnZF7UKJYHmR0dVImRLRqlBO+2iJMSc6Jo0BqT9yMuMQlNS2bD9HZlUKbMm7JpVFK6b9++bGjyV2hjMqW5fbMBoZlckBQThfsLe9Hdhjnn1J/Owr997p02ER0d32xiCd6VYJSPTt5+oGIOOk03Pj6ehbj/+uuvuHLlCij7Il18vXv3xujRoyU51IZgo7PjFMZOGeLHjx+P48ePszNitKtO2RjpRUB6jULgqRY7JakbOnRoGjH627Bhw1iYfKNGjWQxxpsYWYNLFFbLwqZzgt4/HmFn/Oih58/hTU2qWStx2nYtphbO7ZoEK0xe8G4F0FUwpOCdHwk/HriGhQd1iaM2f+yGJuUK8FPOUZMSnP8T/AifbdId11rWty7aVi9i0OIxv53D72ceIFMm4PzkNsiVVf6GC0co7EqVErzbFYBmTrbLEn+WGLFInqw4Me7d8+eRkZGgknDk8+hv+DUfNgf3c+sich6uHIqE5w8ytIQ2HikKOcVxL1asGOhfmzZtkDdvXjNnIbrzRIC3H6iog85z4vq6UrIxFihQgIWR9OrVi5VdoIRxVCqBzpHXqGG4Zufvv/8OCnH/66+/8P7776cxkf7WqVMnbN++Hd26dUvXfEpOR//0G4XL0xszemlQq1YtpaZull66YdAFVLduXZNrQJplgF5n/1vhGP7bJfaXSq45sHFATTiJt++84E3VoybOuU9OKEwXAcG7fV4cgnd+vN9+Fo0uK3U5crrWKoRJ7crzU85RkxKcLzl6Dyv8dQni/vq0Lkrmy2bQ4s4rzuDO89coXzA7tg+uw3FWQpUxBJTg3diY4vM3CNAauRASiRpFc+HjpiWQWWKEzZEbz/HF9stM0fuuL5Dr6UVQeTgKo6ef4eHhGcJM0cIU6Usbkiml4KZMmcL60LM91XgXzToInDt3Di1btkRgYCDjwtymmINOZ8ypzBpdRIYaOdHLli3DmjVrZM+BQufpPDuFuVOYfEo7evQoSxz3wQcf4LfffjOod8OGDejfvz/27dvH3kDpt/3798Pb2xskkxKeYkgJLYapU6ca1E/n7ultl2jGEdhw3QEBT3UhcR1KJsKrWNpEHMY1WF/i6otMiIgH6hdIZrsIogkEBAICAYGAOhBISgauv8yEHE7JKJ5Dvk1zzjniYXQmZM+cjO/qJSKznURwr7rigOBwBzg7JGN2w0QY8j1exQPjA3TnZhu7JuHDcknyARY9BAJ2hkBUPDDhv3XTtFASepRNu24iIiLYBiBtOqZsBqb8nzYgqX77ihUr0qDWr18/0AsbcgonTZqU+hnpIj+rSJEiKFq0KPtH/8+TJ4+qK1No9ZKgFyxjxoxRv4NOb3k2btzIwtkNNXoDRJ9Roje5jXa+d+/ejbVr14LOjes3SrZA59+p7JqhJnbQ1bGDTtyER8ej66og9tPZMRO2Da6DUi6G39TLvUYsIR+XkIRuq4NwPzwG9Urkxope1VV3TlG8ZbfElaC+MQTv6uPEEhYJ3t+gHB2XiA9/OYt74THwqpwfczvLz3Xyy8kHWHj4LlO6qHsVtCjvYgkaZY2hBOcdlgXiwYsY1CiaExv6G44I1I+Cm9yuPLrUsm5JUVmg2YCwErzbACyamMJ7SwPw8GUsqhTKgS0f1ZZkM+XFoPxYVCqOylOnRMLSdUAJrulvtClKybdTGuX+oizybzfaeaeNxLJly6b5STXe8+VTb8UKSUBZUUgzO+jGHPQlS5bgq6++YiHpchudHafMiP/88887Fx+dHacwbiqbYKiJM+h+cHd3V83Zlb/OheCLLbowQveKBbFuUEO5l4PV5APvPkefVacQE5+EQU3LsIzBamvinJraGLGMPYJ3y+CstlEE72kZ6bXiJE7cegYnx0wImOCFPNnlnZG+/zya1USn1qVOMfzYU9rDtCWvC96cU46Y6pP3sSn0algCs7rWNDgd/TP6B0a1QIVCuSw5bbsfizfvdg+oBQEYsSUIu86FsLD4C1O9ZVUyMsQ7Oe8px25plzyl7dy5kx0BllPjncpP6yeqoyPBKWXiLAiRJodS9Rn0I0eOsDPY1CgMvGvXrqhZ892bO52xoMRxlJ2QQt3lttWrV2PIkCFYuXIl+6nfqB46tQcPDCdeMJbFneyiGoYii7tcVkyTpxvLx+sDEJuQhJldaqCES3bTFFmpFyW6W+RzHRM6VEFuFSbIEV/iVrowrDys4N3KBFhpeMF7WuAPXg7FyVvP0NutFCvraUrrusQfZ+69QA5nRwT+z0vWw7Qp48ntw5vzwLvh6Lb0ODNjasdqGNCktEGT+q85jSPXwpArS2acm9wGDhLP4Mqdn5A3jABv3gXO8hF4HZeI4IcvcfZ+OD5qWkZyHqXVx27ju926HEzbhzZG/dLSI3Pk8k7JuR8+fJimTNy1a9fY73TuPb3NzBQ0qOw0OekpbfPmzaDjwOTEf/HFF1bPZyWfNeV6qNpBp3PZKWezKas6OV/pNXKkKQSezozLbRTmUapUKZYIzt/fP7UEAYW9U/j74MGDsWrVKpZFns4E0HkLOneR0igBHJ1Bp8zyKQ59Sh10OoNOYfByG29i5I4vRV7uwpaik4fMq9gEZHd2FGdieID5lg61cq7AVIVKPQQE7/Z5OQje+fP+i/9tTN2le5he0qcu2tcwnNGc/8jSNPLmfOPJu5i48wIb/LdPG6NhmXedB6rnXHvafkTEJKB5hQLYMNhwriFpMxBSpiDAm3dTbLD3PksO38CcvVcZDLtHNJNcjUj/JdjE96pgSPOykqHkyTsdMb53714a5z2l3js57/T52bNn0yS+Jv+KcoeRj0cR0FmzZk21/fPPP2e79fo78BQ2ny2bdo6uSibCgCBvP5BrkjjaGac65+SYUz0/Spj2dkZBIjVHjhwoVMi880oLFy7EyJEjWRb3Hj16sDdEixYtYropgx7tzt+5c4fVFqRz6nRePaVRHfaGDRuyeuj0Boga9aWdc9rRr1SpkmyOeBMj2wAJHXgubAnDCREVICA4VwEJVjBB8G4F0FUwpOCdPwlPImLQaNZBUMK5dtULY2nfevwHMUMjb84n7gzGxpP3mEW0M54n27vHAm48iULr+X5M5guP8hjdRv4zkxlTFl0B8OZdgCofgRM3n6HXypOs47RO1dC/seFok7c1x8QnosaUfYhPTMZ7NYvg597SM35binfa4CQfijZDqdRbSuvZsyerdEWbm3QeXr9RAruwsLB3gCRZfac9pd47nYHPkiWLfOBV2oO3H8jVQdfHzM/PjyUuIMKUarQDT3XPL126hOzZs8PLywuzZs1iiQ+opeeg02fnz58H1VOnHXhqzZo1w+zZsw2G5EuxnzcxUsaUK2OphS3Xrrflj994Ckrw07qqeS9xzLXDUP/4xCSM2ByE3m4l0aJiQSWG4KpTK5xznbRQJh7e7PQaEOs9Y+LpTLkpx6h6rzyJ4zefwTmzAwIntlZVvW/enHdfehwBd8NRLG82+H/rYRDQbQH3MXb7efbZLwMboFVl5Z7z7HQpG502b96NDigE3kGAoj9/C7iPOiXzoUqRXMiS2VEySh1/OobzD15muM4MKVMD77GxsXjy5AnbCE1plJy7cuXKoGjkjKKn9edEucpKliyZ6rxTfizacNVq4+0HKuagU1hE7doZJ1Sh894ffvihVrlIYzdvYpQARQ0L29i8pvx1EWuP34FLDmf4jHZnP9XU9M8OTe9cHX0blVKTee/YogXOVQ2gRo0TvGuUODPNFrwbBpBe+s7bfxVn77/Aka9boXg+eblOtpy+h3E7gpny+T1qoWtdXa4bNTSenNODdY0p+0GJ4jwru2L1wAYGpzj+j2BsPqXbZQ/6nxfyqex7Wg28KG0DT96VtlXofxeBSX9ewPoTuh3ofye0RsFc0naS1c47OeoUHp9yzj0lZJ5+Urm4jFqfPn3Y0eeURnqGDx/OHHgqJdeggeH7kVquL95+oGIOOp1LmD59OsvU/naj2nyfffYZSxRnSpk1tZChbwdvYpSYo9oXNs15md9NfP/PFVZTfEHP2uhUu5gSUJikMywyFh7zDiMyNgF5szvh0JiWqn8w0QLnJpEhOmWIgODdPi8Qwbth3ilZ3OB1AezDER7lMUZmSPaL6DjUn+6DhKRktKpUEL98pJ5qIzw5189aP7xVOYz1Nlyart3Co7j8KIIl3jv0VUv7XGxWnjVP3q08FbscfseZBxj92zk295X968NLYsSolnmnUnA3btx458w7OfO0I0/JxSdPnpx6PaTkFaM/UGlute+u8/YDFXPQCUg6p9CqVSusX78exYrpHC3K9E5nwulNCpExbtw4m1icvIlRAhQtLOyExCQWOte/cSkWNqSm9tW2c9geqKsO8F3n6uin8t1zslMLnKuJY1uxRfBuK0zKm4fg3TBeiUnJaDHnEKjqBu1UHf/WQ3LG5RSNg9b+C98rT1hpJNrxUsuuMU/OD1wKZVVVqC3uVQfv13pTsikFBwrrpfOzdCa/a51imK/C0nPyVo02pXnyrk0EtG31rbAoePygy+OQ0cuwt2dpq7zTxi1t2OrXYd+yZQtGjBjB8oORj1WnTh1Vk87bD1TMQScU161bx5KwZc6cGYsXLwYVcafEcZTVb9OmTahXT13JVsxhnjcx5tiSXl9bXdhKYPW2Tv2sm1WL5MauEc3gqIGyMoJzS1wd6htD8K4+TixhkeA9fZR/8r2OefuvMQFTsrH/EfQAo7bqdryoJCjlIVFD48n5ooPXMf+ADiOf0S1Q3vXd2ubHbz5F75WnmMx3naqhn8TEWGrAypZs4Mm7LeFi6blQqbXFvtcRdO8FmlcsgGEty0sygY6T1J52AC9fx6Np+fzYNKSRpH72yDslIM+VKxfzJdXcePuBijroBCQlauvSpQtLykaN6pYvWLDA5tLu8yZGiYtQqwubbmSU/d9ajXZfOv/sz+pdUpNbt9JadtO4WuXcmpjZwtiCd1tgUf4cBO/pY0bZ2Jt878vC1OU8EKdopHPZ9b47gNiEJDQq64JfP2ksnyAFevDkfNimQOwJfowsmR1wcao3Mjs6vGPxz4duYO4++aWlFJi6XavkybtdA2nm5KnkYK1p+xFpQsnB/mtO48i1MOTKkplVTHCQsOkjeDeTMAW78/YDFXfQly5dys6hOzo6IioqipU3o93zcuXKKQiT5VXzJkaJGWhxYV8PjWTJeb5uW9lgPVYlcHpbJyXDoaQ41LQW0qdFzi3Bqa2PIXi3dYYNz0/wnjHvKQ4oSfmOcUfZgjllXSgp/el98clxniiU+00NYFmKOArz5JxyrNx6+go1iuVhUWKG2pB1AfC5HIqsTg4InuIt+6gAx6nbtSqevNs1kBwm32/1KRy9/lSWo03DUrQKRa1QOzCqBSoUejdi5W3zBO8cCFNIBW8/UDEHnWrhDRo0CH///Tc6dOiA1atXg0qvDR06FJSin3bRqeC9rTTexCiBi9YWNu14NJ9ziO1YlC2QA3u+bI6sTtLLWPDAkJIDtZp3GOHR8ciZJTN7qHNVwUOZ1LlpjXOp8xJyGSMgeLfPK0TwnjHv/jeeos8qXXj2kGZlMLFDVVkXyt4LjzB04xnWZ1KHqhjUrIys/koI8+KcQnWrTt6L5GTgg3rFMfeDWgbN/WxjIA5dfYKaxfLit6HqiCJQAle16+TFu9rnqQX7THG0aV6HrjzBR2v/ZVOc070metR/U7YsvXkL3tV7RfD2AxVz0AsVKsR2zOfOnYthw4alIvrw4UMMHDgQvr6+6NSpE3bs2KFetGVYxpsYGUNLFtXiwv7fzgvYcFJXikJOIg3JoBgR1B9/4ntVMKR5WV6qLaJHi5xbBBgbH0TwbuMEpzM9wXvGvFM4qud8P9x++opV4qBdcDkvfWPiE1k2dwp3r10iL3YOb2r1C40X5+fuv0Cnn/3ZfP7XoSoGZ/DygZK5Pn8Vp6mX1VYnirMBvHjnbJZdqqMXVh/98p+j3a0mejQw7mgTULSG6n53gGFGOS0ot4WxJng3hpD1PuftByrmoNetWxebN29mhesNtfnz52PChAmgmnm20HgTowQmWlzYkTHx8P7xCEJexrCkbH993hTViuZRAp53dF54+BIdfzrGstWWd82Jf75srrlwPi1ybhFybXwQwbuNEywcdJMJXnX0Fqb/fZn1N6Wm+eitZ7Ej6CHrf/TrVijhIq+musmGK8z51n/v4ZvfdUe5Ng9xQ5PyBXibKvRxREDc4zmCaaaq8FdxqPOfo92rYQnM6lpTskb3uYdw91k0KPkwRYkaa4J3YwhZ73PefqBiDnp8fDycnJwyROrChQuoXr269dDkODJvYjialqpKqwtbPwyoerHc2DmsqcHkNTwxo8R0Hyw7gYC74UztxsFuaFZBew8sWuWcJ5f2qEvwbo+si6SQUlinh2m3WQcRl5CEeqXy4ffPmkjpliqjv1s21rsShreSlrVZ1iAyhHmt9Sl/XcTa43fYyGf+5wWXHM4yrBCilkaAF++WtttWx0vJ31C5cC7sHdlC8jS//DUIf54NYRtQF6Z4I5tzxsc4Be+SobW4IG8/UDEH3eLIWHlA3sQoMR0tL+yRvwZh59kQBsu37SpjqLuySQb1S+q0r1EYS/posySgljlXYg3Yi07Bu70wnXaegndpvOvvglNkVJUiuaV1BBCfmISGM3xYXhK5D+OSB5EhyIvznstP4NTt5yiUOwtOjW9t0AJK2lq6QA7NRZLJgFMzorx418yEVW7o6N/OYseZh6BE7OeneLOcRVLaL/63MXXXJSb626eNjSZDFrxLQdU6Mrz9QK4OeteuXTFq1Cg0b64L06BkcJQcrnPnzihatGgaxHbv3o2vv/4aly7pLkytN97EKIGHlhc2ndVpPd+PndmhEjD0hrJMgRxKwAQKq/f4wQ9hkbEsU+3BMS1RLG82RcZSWqmWOVcaG1vWL3i3ZXbTn5vgXRrvgXefo9vSE0y4b6OSmN7Z+NlPfc1U1YOqe1CTmn1ZmmXypXhwrl+T2b1iQawb1PAdQ+j8fY0p++CQKRM+bVEWo9tUkm+s6MENAR68czNGKGK5kihnEbXNH7uhSTlpEZdB98LRZclx1m98+8r4pEXGm0+Cd/VebLz9QK4OuoODAzZu3IjevXszBJ89ewZXV1ccOHAAHh4eaVClUmv9+/dHYmKietGWYRlvYmQMLVlU6wv7z7MP8eWvZ9l83cq4YMvHjSTVjZQM0H+CM/6+hJVHb7PfxnhVxAjPCnJVqEZe65yrBkiNGSJ41xhhnMwVvEsDkhzSdguP4srjSORwdsSpCa0l73jRCCduPkOvlSfZYF94lLeqs8qD80cvX6PxLF82n0/dy2JcuyrvABl4NxzdluocCS0mTJV2ZWhHigfv2pmt+i2lnEUdFh9jhso5+hKbkIgak/cjLjEJUqI1Be/qvRZ4+4GKO+gFCxaEj4+PcNBVcE1pfWHTQ9XgdQHwvfKEoUkZLynzJc+WmJSM3itPslC/ki7ZsX9UC1lZfnnawkOX1jnngYE96hC82yPr4gy6HNb1d7zkfpfQ90TjWQfxJDKWRXJR+c1MVBzdCo3HWtfP87KgZ210rlPsnZk8fPEaf50NAe34jfCogBrFLZOs1QqQamJIHrxrYqIaMZIqG1Sfsg8x8UloXaUQVg2oL9lyqp5AVRSK5smK4+M8M+wneJcMq8UFhYNuccilDcibGGmjypOyhYUd8uI12vx4hJW5yZUlMw6MdkfhPFnlAWFEml4E/BH0EAVyZkGLigW56ra0Mlvg3NKY2cJ4gndbYFH+HATv0jGjo0xuMw8iOi4R1Yrmxu4RzWQ52dN2XcIaf12k1a7Pm1nNYeXB+ZLDNzBn71U2l70jm6NyYeln8qUjLiR5IsCDd572CF1Aj2UncPrOcxTI6Yx/J7SWfD/RT9B4erxnhuULBe/qvdJ4+4FiB50T17yJ4WRWGjW2srD1dz5aV3HFyv71Jd8IlcBVzTpthXM1Y6xG2wTvamRFeZsE7/IwHrcjGJcfRaCPW0l0q1tc1pEp/bOjn7Qoi/Ht3w0Ll2eNadI8OP9iSxD+OhcCJ8dMuDi1LZwzO5hmjOhlMQR48G4xY+1koFl7LmP5kVtstnJKMO4MeoiRW3XHN5f3qwfvaoXTRUzwrt6LibcfKBx0TlzzJoaTWTbpoCclJePDFSfZm0pqi3vVwfu10iYhVAI/LeoUN3Mtsma+zYJ38zHUogbBuzzWqNSaqc4oRVq1mHsI95+/ZqGpx77xkOXgy7M0fWkenHvN98P1J1GqyErPCxdb18ODd1vHyNLz23vhEYZuPMOGXfhhbXSq/e5REUM23Xn6Ci3nHWYffdayHL5pW1k46JYmj8N4vP1A7g76kCFD0KhRIzbVqKgoltV99OjRqFIl7dvlEydOYM2aNSJJHIeLQqoKW7qh3wqLQtuFR1kt2/w5nOEz2h35zKjb+uOBa3gRHYfRXpWQJ7uTVEhVL2dLnKsebBUZKHhXERkWNEXwbkGwAczZewVLDt9kg24b2hgNSrtY1gCYn3eAsrNXm7wPdK6+a51imN+z9jtzoKz3x64/Q91SedkcszplXKvZ4iDY4YBirauP9NCIGHZshtrAJqUxpWM1SUbSy7663x1gpRsbl82PLZ/ofChDTfAuCVKrCKneQZeDCiVVEVnc5SBmnqytLWz9c3PpPVhIQezus1fwmn+EZdGsXiw3O09orYQ/UuyVI2NrnMuZuz3LCt7tk33Bu2V5p/B4ygZPrX/jUpjWqbplDeDgoOtnn06vzJOpobsWB/YWCyoAACAASURBVMOOBhRrXZ1kN5l1ECEvY1C7RF7sHN5UspEf/XIah66GsaoSVEfdkQqqG2iCd8mQWlxQ1Q66n5+fbEDc3d1l91FjB97EKDFHW1vY8YlJ6PSTP17FJWBW1xqS606+je35By/Y+Z9bYa/wU+866FDTdsLlbY1zJdaFLeoUvNsiq8bnJHg3jpEhCXpJu/n0PQTdfYGtnzaS/IKWdr4oaSmFh1NiqJPjPJHZ0bLnt83lfHvgA3y17RyDZf2ghgYTo5qa/Mo0NkQvKQiYy7uUMYSMfAQo4VtYZCwalnHBgCalJStY6HMdP/pcY/L7RrZApcK5hIMuGT11CPL2A7mGuKsDIutYwZsYJWZhizf0+8+jWbb1bM7mhdxRqPye4EfoVLuo5IczJTjirdMWOeeNkS3qE7zbIqvG5yR4N46RIYmpuy7iF/877KMtHzdC43L5JStadPA65h/QPVhvGNwQzStYtvKHuZxP330Jq47pstGfnuAJ11xpq6LQi/AaJpaPkgyiEJSNgLm8yx5QdFAUAb9rYRiw5jQbY3a3GujZwHAJYcG7ojSYpZy3HygcdLPoeNOZNzGczEqjRixsJVBVt07Bubr5Uco6wbtSyKpbr+DdNH5uPIlC6/l+KOGSDZM6VINX1UKSFd1++gqt/kvw1KN+cczpXktyXx6C5nLed9UpHLvxlOVyCZj4bmko/RD4sd6VMLxVeR5mCx1mImAu72YOL7pzRuBldDxqTdvPtPZqWAKzutY0OILgnTPwHNXx9gOFg86JHN7EcDLL7hx02lGPiIlHtaJ5jEJIyXFsPdmNuJkbvQxsUkDwbpO0Gp2U4N0oROkKnLkXjtrF85qUif39xccQ/PAlcmXNzJzcLJnNi+iSMwtzOa8//QCeRsWhafn82DTk3eRUG07cwf/+vMhMkhtdIGceQlYeAubyLm80IW0JBDzmHcatp68yrKYgeLcEE6aNwdsPFA66aTy804s3MZzMsisH/Rf/25iz9yqK5s2Kv79onqHz/ejla3RYdAyDmpXBkOZlLPpApQS36ekUN3NLoq2esQTv6uHCkpYI3i2J9puxVhy5iZl7rrA/rOxfX9YOvLkWm8P5k8gYNJyhyzo9pFkZTOxQ9R1zRm89ix1BD0E5q4KneCNHlszmmiz6c0DAHN45DC9UZIBA+Ks4BN0Px9XHUaxsmtQmZa0J3qWiaXk53n6gcNA5ccibGE5m2ZWDPv6PYGw+dY/NeU63mujRoES6MH6++Qx2n3/EPl/Uqw462mgddXEzV2IlqV+n4F39HClhoeBdCVSN6wx58RpNvvdlgu/XKorFveoY78RJwhzOj1wLQ///zr3O+6AWutcr/o5VFL5PYfxViuTGP18252S1UGMuAubwbu7Yon/GCEz+8wLWnbjLhE6P94Rr7rR5HdLrvf7EHUz6L1rl108aoVHZd3NhCN7Ve/Xx9gOFg86Ja97EcDLLrhx0Cm2nbLNDmpdFt7rF0k32dvzmU/ReeYphU7dkXmwf2sSksEYlOOKtU9zMeSOqDX2Cd23wxNtKwbv5iNLu1+9nHqBGsTxwM/CAnN4IHyw7jn/vhCObkyMC/9ca2Z0ts9NsDuf6O/+7RzRD9WJpj4YRFnW+O8Cm3NutJGZ2qWE+wEIDFwTM4Z2LAUJJugjsDHrIKgNRW96vHryrFZaEFlUU6viTP5P9tl1lDHV/d/dd8C4JSqsI8fYDhYPOiUbexHAyy64cdJpsUlJyhs42ZaR9b9FRXAuNQqZMYDXP334oUQJ7a+kUN3NrIW/dcQXv1sXfWqML3s1D/kV0HBrNOoiY+CS0rlIIqwbUl6xQ/6w27aDTTrolmjmcp4TUUs3li1O93zkWdujKE3y09l82jbnda+KD+ulHpVlirmKMNwiYw7vAUVkE6OjIkWtPWS30sgVySN4AompC1afsA/1sW60wlvWr946hgndluTNHO28/UDjo5rCh15c3MZzMsjsH3Rhua47dxrTdl5iYPewIiJu5sSvCNj8XvNsmr8ZmJXg3hpDxzwf+chqHr4axM9dHv/FAsbzZjHcC8DQqFg1n+CApGewMOp1Ft0Qzh/N2C4/i8qMIVHDNiQOj3d8xd/7+q1jke4P93We0O8q75rTElMQYEhAwh3cJ6oWIlRDousQfZ+69QOHcWXFyvKdw0K3EgynD8vYDhYNuCgsG+vAmhpNZdu2gv3wdj7n7ruDj5mVRKn8OhEXGgrJkRsYmIG92Jxwa0xL5cjgrAbVqdIovcdVQYVFDBO8WhVs1gwnezafiwKVQfLw+gCn6wqM8RrepJFlpv9WncPT6Uzg7OuDfia2RJ5uT5L6mCprKOUWTVZ20F/GJyemem0+ZT+6smXF2UhvJO4GmzkX0k46AqbxLH0FIWgOBabsuYY3/bTb0iXEeKJIn7QtCwbs1WJE2Jm8/UDjo0nA3KsWbGKMDmiBgTwubsrR3+skfTyJj0bhsfmz+2A1jt5/H9sAHDLnpnaujb6NSJqCorS72xLm2mFHWWsG7sviqVbvg3XxmEpOS0Xy2L0JexsA1Vxb4f+sBJ0cHSYp/C7iPr7efZ7JzutdEDwuEhJvK+ZXHEWi74Ciz1VB9czouVmvqfvZCu0XFglg/qKEkDISQZRAwlXfLWCdGMRWBv86F4IstQaz70j510a5GkTSqBO+mIqt8P95+oHDQOXHGmxhOZtntwk5OTmZn5yhUkVoft5LY9F+G92pFc+Ovz5uBzt3ZehM3c1tn2PD8BO+C97x589onCBxmvejgdcw/cI1pWta3LtpWT/uQnN4QFLXVYLoP4hKT0LxCAWwY7MbBmoxVmLrW9RNZ/TKwAVpVdk0z0LXQSLT58Qj725eeFTDKq6LicxEDSEfAVN6ljyAkzUGAIjYX+17HmXvh6NeoFHo2KClJ3f3n0Wg+5xCT/bRFWYxrX8Vun+MlAaYiId5+oHDQOZHLmxhOZtn1wn4QHg3vH4/gVVxiGhx+/6wx6pVyUQJi1ekUX+Kqo8QiBgneLQKz6gYRvPOhJDQihpVNo930ZuULYOMQ6Y42hcdTmDy9AD413hMFcmbhY1Q6WkzlfNY/l7Hc7xbTaiiUduu/9/DN78Hs87UfNUDLSmkdeEUnJZQbRcBU3o0qFgJcEIiMiUfNqfuRnAxWvpDKGEpptLlUf7oPnr2KQ8MyLvjt08Z2/RwvBTO1yPD2A4WDzolZ3sRwMsvuF7Z+XUkCo2vdYpjfo7YS8KpSp/gSVyUtihsleFccYlUOIHjnR8vQDYHYe/ExU3joq5YoUyCHJOX6IarfdaqGfo1LS+pnqpCpnA9Ycxp+18LYOfmzk7zeKUv67e/n8eu/95lZ9Hne7Ladr8VU/K3Vz1TerWWvPY7b5kc/VjGoXMEcODimpWQIBq/9FwevPGElG4OntEFmvSM2gnfJMFpckLcfKBx0ThTyJoaTWXbvoNM5uh7LTyDgbjhyZskM36/c4ZorqxLwqlKnuJmrkhbFjRK8Kw6xKgcQvPOj5dj1p+i7+hRT+EmLshj/VqhpeiNFxyWg3nc+eB2fiIalXfDb0LQ7YPws1GkylXO3mT4IjYiFWxkXbH1rl470TvnrIuhlAyVU9ZXhXPCen9BnGAFTeRd4Wg6Bb7afx9YA3Uuuc5PaIE92aUkjFx+8jh/+O2Kz54vmqFo0d6rRgnfL8Sd3JN5+oHDQ5TKQjjxvYjiZZfcOOgHw/FUc1h2/w87YUV1Ke2riZm5PbL+Zq+Bd8C7OoJt3DdDLXY8fDuPOs2jky+6EE+M836kTnt4II7YEYde5EPbx8W89UFRiqTZTLDZlrdN3Yt3vDrDhBjYpjSkdqxkcmsJtw6Pj4WLj1U5Mwd3afUzh3do229v4v56+h2936I6JrBvUEO4VC0qC4Oj1MPRbfZrJzuxSg5UETmmCd0kQWkWItx8oHHRONPImhpNZwkFXAkgN6RQ3cw2RxdFUwTtHMDWkSvDOl6wVR25i5p4rTOmCnrXRuU4xSQPsv/gYn2wIZLIT2lfBxy3KSupnipApnB+/+RS9V+qiA77vWgMfNpSWwMoU+0QfZRAwhXdlLBFa00Pg6uNIeC/QJVoc2boCRraWlmiRkk1SBQVqPeoXx5zub86vC97Ve73x9gOFg86Ja97EcDJLOOhKAKkhneJmriGyOJoqeOcIpoZUCd75kkU7zY1mHURcQhLql8qH7Z81kTRAbEIiS/QUGZOAmsXzsKohSjVTOF997Da+232JmfTn8KaoZWeRZUpxYUm9pvBuSfvEWGBJJsnRjopNYLvntIsutXn+cBg3w16hYqGc2D/KPbWb4F0qgpaX4+0HCgedE4e8ieFklnDQlQBSQzrFzVxDZHE0VfDOEUwNqRK88ydr1Naz+CPoIVO8d2RzVC785jxoRqON3XYO2wIfMBE5SebkzsAUzlNsy5QJuDS1LbI5O6YZ9vKjCJRwyc7ytoimTgRM4V2dM7Ftq/qsOgn/G8/STcaY3uzH/HYOv595AFqj5ye3Qa6suvPrgnf1Xi+8/UDhoHPimjcxnMwSDroSQGpIp7iZa4gsjqYK3jmCqSFVgnf+ZAXceY7uy04wxf0bl8K0TtUlDXLkWhj6r9GdIx3jVREjPCtI6idXyBTO3198DMEPX6JsgRzw/Sptdmk6d15vug9eRMehW93imCuxPJRcu4W8eQiYwrt5I4repiAwb99V/HToBuvqO8YdZQvmlKRmw8m7+N/OC0x28xA3NClfQDjokpCznhBvP1A46Jy45E0MJ7OEg64EkBrSKb7ENUQWR1MF7xzB1JAqwTt/sshhbbvgKK6GRrIdZaptnkPCznJCYhLcZh5k9YwruFKYaot3SpnxsFYu52RXtcn7EJuQhPY1CmNJn3ppzLj77BXc5x5mfxvqXg7ftqvMw0yhgzMCcnnnPLxQJxGBg5dDMXhdAJP+4YNa6FavuKSeFx6+RIfFx5jsWO9KGN6qvHDQJSFnPSHefqBw0DlxyZsYTmYJB10JIDWkU3yJa4gsjqYK3jmCqSFVgndlyFp/4g4m/XmRhZuuGdgArSq5ShqIdsBoJ4yanPB4Scr/E5LL+Y0nUWg934/1Hu1VEV+8tbMf/ioOu4MfIeheONtBb/rfzp0cm4Ss8gjI5V15i8QIhhB4FhXLIlKo9W1UEtM715AEVHxiEqr/9yLNq2ohrOxfXzjokpCznhBvP1A46Jy45E0MJ7OEg64EkBrSKb7ENUQWR1MF7xzB1JAqwbsyZEXExGPlkVvo2aAEiufLLnmQf+88xwf/hccPb1UOY73570bL5Xz3+RB8vjmIzWFFv3poU62w5PkIQfUgIJd39Vhuf5a0mHMI955Ho1rR3Pj7i+aSAei+9DgC7oajYK4sOD3ek0XgCN4lw2dxQd5+oHDQOVHImxhOZgkHXQkgNaRT3Mw1RBZHUwXvHMHUkCrBu7rIolrqTWf74tHLGJR0yQ6/sS25h7nL5Xzuviv4+dBNBtTRr1uxZHCiaQ8Bubxrb4a2Y/GXvwbhz7MhcHTIhOApbZDdWVryxem7L2HVsdsMCP9vPVAsbzbhoKv4suDtBwoHnRPZvInhZJZw0JUAUkM6xZe4hsjiaKrgnSOYGlIleFcfWTP+voSVR3UP2TuHN0VtziXN5HI+eO2/OHjlCTtPT84C7cqJpj0E5PKuvRnajsVr/W9jyi5dWcOtnzSCW9n8kianH+3yc++6eK9mEeGgS0LOOkK8/UDhoHPikTcxnMwSDroSQGpIp/gS1xBZHE0VvHMEU0OqBO/Kk0VJ484/eIkyBXMg93+ljzIaNfjBS7z/ky7Z06CmZTDp/apcjZTLedPvffHwxWuDdd2pvBqVlKtTIi/LGp0nm660k2jqQ0Au7+qbgf1YdO7+C3T62Z9NmJIuUvJFKe1BeDSazT7ERD9uXgYT3qsqHHQpwFlJhrcfKBx0TkTyJoaTWcJBVwJIDekUX+IaIoujqYJ3jmBqSJXgXVmyboVF4Ytfg3DhYQQmv18VHzUtY3RAcuhbzTuMO8+i4ZorC06M82ShrryaHM5fvo5Hran72dCGElbROfsZey6zz/8Y1gR1SubjZabQwxkBObxzHlqok4lAXEISqk/ZB/rpXa0QlvfTJXwz1uje0WDGQTyNikWD0vmwbWgT4aAbA82Kn/P2A4WDzolM3sRwMks46EoAqSGd4ktcQ2RxNFXwzhFMDakSvCtLVnRcAiudFhmTgPKuOXFAYum0+fuvYpGvrhbyr580QiOJIa5SZiOH89O3n6PHcl1N9+mdq6Nvo1Jphhi2KRB7gh/D2dEBwVPbIEtmRykmCBkrICCHdyuYJ4Z8C4HRv51l64qqIrxfq6hkfIasC4DP5VBkdXJA8BRvvIqMgJ+fH9zd3ZE3b17JeoSg8gjw9gOFg86JM97EcDJLOOhKAKkhneJLXENkcTRV8M4RTA2pErwrT9bsvVfwIjoOvRuWQo3ieSQNeD00El4/HmGyvd1KYmYXaaWWpCiXw3lKuTjS+/tnjVGvlEuaIRrNPIjHETGoUzIv/hjWVMrwQsZKCMjh3UomimE5IPDzoRuYu+8q07R7RDMUz5EsHHQOuCqhgrcfKBx0TizxJoaTWcJBVwJIDekUX+IaIoujqYJ3jmBqSJXgXb1ktV1wBFceRyJfdiecntAaTo4OXIyVw/m4Heex5fR9Nu6Fqd4sUVxKe/TyNRrP8mW/KnFWnstkhZJUBOTwLmDTLgL+N56iz6pTbAIU9dKhch7hoKuUTt5+oHDQORHNmxhOZgkHXQkgNaRTfIlriCyOpgreOYKpIVWCd/WSpb8T9stHDdCqkisXY+Vw3vlnf5y9/4KVfDvydas04+8JfoRhm86wvy3uVUdWGC6XiQglshCQw7ssxUJYVQhExsSj5tT9SE4GutcrjolepYSDriqG3hjD2w8UDjononkTw8ks4aArAaSGdIovcQ2RxdFUwTtHMDWkSvBuebJexyUim7Pxs9r3nkWjxVxdRuaudYthfo/aXIyVyjnVZK82eR9exyeiTdVCWNE/baIq/XJwx75pheL5RH10LgQppEQq7woNL9SagABlZQ+8G46wyFgMaV5Wsgav+X64/iSK5b3YPqiWcNAlI2dZQd5+oHDQOfHHmxhOZgkHXQkgNaRTfIlriCyOpgreOYKpIVWCd8uRdeRaGFYfu407z17h0JiWcJCQmT1lB5tCywMmtkZWJ+OOvbEZSeX8ztNXaDnvMFP3hWcFjPaqmEZ196XHEXA3HAVzZcHp8Z6iProx4K38uVTerWymGF4PgaEbArH34mM4Z3bAhSne7KeUNnbbOWwLfIBMmYAjX7rhzCl/kSROCnAWluHtBwoHnROBvInhZJZw0JUAUkM6xZe4hsjiaKrgnSOYGlIleLccWd//cwXL/G6yAdd+1AAtJYSsk0P/3e5LrM+yvnXRtnoRsw2WyvneC48wdKMuhH1pn7poV+PN2FT+qcaUfYhNSDK4u262kUIBdwSk8s59YKHQZASW+93ErH+usP67Pm8mOcnkplN3MeGPC7r7xofVEHv3nHDQTWZBuY68/UDhoHPiijcxnMwSDroSQGpIp/gS1xBZHE0VvHMEU0OqBO+WI4tC1t3nHWJnQ72qFsLKt0LGDVkSGhGDRrMOsj7v1SiCn/vUNdtgqZz/eOAaFh68zsY79FVLlCmQI3Xs8w9eoONP/uz3b9pWxmcty5ltl1CgLAJSeVfWCqFdDgJ3n73C5UeRrEpCodxZJXe9GPIS7y06xuSHtyiJivG3hIMuGT3LCfL2A4WDzok73sRwMks46EoAqSGd4ktcQ2RxNFXwzhFMDakSvFuWrAFrTsPvWhgout3/Ww8UyZPNqAEfrjiBk7eeI0tmBwT+zytNJnWjnQ0ISOX80w0B2HcxFNmcHFkGd0e9kPx1x+9g8l8XmXbeddpNmZPoYxwBqbwb1yQk1I5AQiJFuOxn+SPcy+dD14JhwkFXIWm8/UDhoHMimTcxnMwSDroSQGpIp/gS1xBZHE0VvHMEU0OqBO+WJWv/xcf4ZEMgG/RLzwoY9da5bkPW6IerLuhZG53rFDPLaKmct5hzCPeeR6N2ibzYOTxtjfORvwZh59kQ9qKBnPfszm/Kr5llnOisGAJSeVfMAKHYogj0WHYCp+88h0t2J0yq+RotW7ojb968FrVBDJYxArz9QOGgc7rieBPDySzhoCsBpIZ0ii9xDZHF0VTBO0cwNaRK8G5Zsmhnq9nsQ3gcEYNCubPg2DceRuubP38Vh4YzfJCQlAzPyq5YPbCBWUZL4TwqNgHVJ+9j4/RqWAKzutZMM6b73EO4+ywaVYvkxp4vm5tlj+hsGQSk8G4ZS8QopiKQnJwsORnjzD2XseLILTbUpDoJ6OotHHRTcVeqH28/UDjonJjiTQwns4SDrgSQGtIpvsQ1RBZHUwXvHMHUkCrBu+XJWuBzDQt8dGe7l/Wth7bVCxs1YuAvp3H4ahicHDPh3wmtkTe7s9E+6QlI4ZxKO3VbepypmNqxGgY0KZ2q7llULOpN92G/93EriRldaphsi+hoOQSk8G45a8RIUhG4GRaFn3xvIOheOCa+VxWtqxaS1HVP8CMM26RL8jigQiJGdWshdtAlIWc5Id5+oHDQOXHHmxhOZgkHXQkgNaRTfIlriCyOpgreOYKpIVWCd8uT9fhlDJrO9kViUjKaVyiADYPdjBrxe+ADjNl2jsl937UGPmxY0mgfcxx0/bD6rZ80glvZ/KnqfC6FYsj6APb7vA9qoXu94ibbIjpaDgGx1i2HNc+RboVFweMHP6ZyeKtyGOtdWZL6kBev0eR7XybbskgSFgxoLhx0SchZToi3HygcdE7c8SaGk1nCQVcCSA3pFF/iGiKLo6mCd45gakiV4N06ZKUkYKPR/ca2RKn8bzKkG7IoMiae7VpTebMm5fJj88eNTDZcCuf/23kBG07eZWOcm9QGebI7pY43d98V/HxIVy7u4Bh3lCuY02RbREfLISCFd8tZI0aSigCFtdeedgAvX8fLWvvUz23mQTyJjEXpnMnY+Xkz4aBLBd1Ccrz9QOGgcyKONzGczBIOuhJAakin+BLXEFkcTRW8cwRTQ6oE79Yh68i1MPRfc5oN/ql7WYxrV8WoIUM3BGLvxcfIlAk4Nc4TrjLKLukrl8L5B8uO49874SiaJyuOj/NMY9uSwzew9d/7eBEdj6D/ecFBL7u70UkIAashIIV3qxknBs4QgZQjLjmcHXF+StqKChl1HLYpEHuCHyMTkrHzk3qoVbaIQFpFCPD2A4WDzolc3sRwMks46EoAqSGd4ktcQ2RxNFXwzhFMDakSvFuHrKSkZLScd5hlSXfJ4YwT4zyQJbNjhsbonymd8n5VDGxaxiTjjXFOO281p+xHZGwCPCq7Yk06SekokVzOLCJ7u0kkWKGTMd6tYJIYUiICC32u40efa0x638gWqFQ4l6SeR6+Hod9q3YvAbrUL4YcP60vqJ4QsgwBvP1A46Jx4400MJ7OEg64EkBrSKb7ENUQWR1MF7xzB1JAqwbv1yFrmdxPf/3OFGbDww9roVDvj8mmv4xJRf/oBvIpLRN2SebFjWNrSZ1JnYozz+8+j0XzOIaZOzplXqeMLOesgYIx361glRpWCgH7EjZwcFPSyre2Pfrj65BWcHTPB/1tPFMyVRcqQQsYCCPD2A4WDzok03sRwMks46EoAqSGd4ktcQ2RxNFXwzhFMDakSvFuPLMqG3niWL+ISk9CwtAt+G9rYqDEp9cdJ8OjXrVDCJbvRPm8LGOP8wKVQfPxfErjFverg/VpFZY8hOqgPAWO8q89iYVEKAnT+vNbU/ezXnvVLYHb3tGUPM0Jqs/91jN+l233/vFV5fOVdSQCrEgR4+4GadNDv3LmDMmUMh4MNHjwYq1atMkrXpk2bsHjxYly9ehX0Vqp8+fL45JNPMGTIEDg4OBjt/7YAb2JkGyChg7ihSwDJxkQE5zZGqMTpCN4lAmVjYoJ36xL65a9B+PNsCDNi/6gWqFgo49BV3yuhGLRWl0H9m7aV8VnLcrInYIzzxQev44cDugd6n9EtUN71jU0XHr6Ea+4scM2VVfa4ooN1ETDGu3WtE6MbQ6D1fD/ceBKFioVyYv8od2PiqZ+HPXsO70XH8Tw2E/Jkc8Lxbz2QQxxNkYyfkoK8/UBNO+idOnVC9+7d0+BNjnajRhlnRJ0xYwYmTpwIb29vdOzYkTnov//+Ow4dOoQxY8Zg3rx5sjnkTYxsAyR0EDd0CSDZmIjg3MYIlTgdwbtEoGxMTPBuXUJP336OHstPMCMGNC6FqZ2qZ2gQZXFvMMOHZXSuWiQ39nzZXPYEjHE+fNMZ/B38CM6ZHXBpqjcyO77ZgPCa74frT6LQrHwBbBxivDycbONEB8UQMMa7YgMLxVwQGLvtHLYFPmBJIs9NboPcWd9UVshoAOJ92q9HsOOOLsfFpA5VMaiZafkruExEKElFgLcfqGkHfcKECZg+fbrsy8PV1RWlSpXC6dOnkYlWB4CkpCTUrVsXtDtPC0Bu402M3PGlyIsbuhSUbEtGcG5bfEqdjeBdKlK2JSd4ty6f9LLfe8ERVhN9SPOy6CWhvvm4Heex5fR9ZrjPaHeUd5VX5swY5x4/HMatsFeoXiw3do948wIgIkYXZpucDHxQrzjmflDLuuCJ0WUhYIx3WcqEsMUR2HzqHsb/EczG3TjYDc0qFJBkA/G+39cP089nRURMAorlzYbDY1vCSe/FmyRFQog7Arz9QM076OSkU8uWLZtksEnW09MTu3fvTtOHdtSDg4MREqILUZPTeBMjZ2ypsuKGLhUp25ETnNsOl3JmIniXg5btyArerc/lk8gYFMyZJfXlvzGLjt94it6rTjGxLz0rYJRXRWNd0nyeEeeUiK7a5L1ISga61yuOeXpOeHRcAvZfDMXZ+y/QuFx+eFcrLGtcqWRJ/AAAIABJREFUIWxdBMRaty7+5o5+KSQC7RcdZWrGeFXECM8KklSm8H4hU2msPP6A9VnQszY618k4KaUk5ULILAR4+4GadtBz5syJqKgoBiiFto8cORLDhw83CnCHDh3wzz//sFB2CpOnt97btm0DOfs//fQTPvvsM6M63hbgTYxsAyR0EDd0CSDZmIjg3MYIlTgdwbtEoGxMTPCuPUJpt73RrIMIi4xF2YI5cHC0u2TnnmabEefn7r9Ap5/9GSj/61AVg0UorPYukHQsFmtd21QmJCah5tT9iI5LzLD84duzTOG9Rv3GaLs0EHRMpnLhXPjny+ay7hvaRk+d1vP2AzXpoN+7dw+DBg1C586dWag67XhTYriAgAB89dVXmDt3bobsPX78GP369YOPj0+qXNasWbFy5Ur07dvXKPOPHj0C/dNvly9fZn0PHz6MWrXUGSoWGRkJuoAolD9XLml1F42CIQRUjYDgXNX0KGac4F0xaFWtWPCuanrSNW72gVvYEqh7pvh1YC1ULiw9zD0jzv84F4qp/9xgeld8WA0NS+fVJkDC6ncQEGtd+xfFkM3BCLgXgbzZMuPQFw0lOdj6vC/0D8X2s6EMiCU9q6JJmXzaB0XDMzh37hxatmyJwMBA5meZ2zTpoBuadGJiIjw8PHDs2DFcu3YN5cqlnw01PDwc33zzDeLi4tC+fXvEx8dj/fr18PX1xZYtW95JPPf2eFOmTMHUqVMNYv/DDz9kOLa5hIn+AgGBgEBAICAQEAioG4GIOODkk0xISMqE9iWTMjT2diSw4EJmJuNZNAkdS2UsL3Xmv992wJHHuqRwM+onIKe0PFRS1Qs5gYBAwAwEdt11gE+Ibn1OrJ2AgtJP6rI+T14DM886IhmZUDFPEoZX5XPfMGNKdt315s2bLNG4cNANXAa7du1iWdmXL1/OSqal58g3bNiQOdG//fZbqgiFuTdr1oyVXbt//36GZ9rFDrpdr0FNTV68ZdcUXdyMFbxzg1JTigTv6qGr//rzOB8SiaxODtg/vAFyZ9U54IYaPX+0XxqIRxGxKJI7C/Z8Vk/SbhrpyojzlB26gjmdcODzhqlDP3wRg9UnHqBm0VxoWi4fCuZ0Vg9wwhJJCIi1LgkmVQsduvYMo3ZcYTbO6FAB71V3NWrv27x/9ccV+Fx9xvptGVgLVWRE3xgdTAjIQkDsoGcA1/nz51l4OZVRGz9+vEFJKqVGO+1bt25Fjx490sjQ7jeFyP/777+oX7++LGJ4nz2QNbhEYXFmSSJQNiQmOLchMmVMRfAuAywbEhW8q4fMX0/fw7c7glEgpzOW96uPeqUyDj/9/p8rWOZ3k03g988ao14pF0mTSY9zcvrrfHcAL6Lj0aJiQawf9MZB/yPoAUZtPcf0r+xfH15VC0kaSwipBwGx1tXDhamWUELJhjMOsu79G5fCNCNlGUnubd6D7oWjy5LjTMf7tYpica86ppoj+pmJAG8/0GZC3AnXHTt2oFu3buw8+uDBgw1CTSHsvXv3xubNm9GrV680MrNnz8a3336LEydOGK2l/rZy3sSYeZ0Y7C5u6Eqgqm6dgnN186OUdYJ3pZBVt17Bu3r4oSzpvleeoE3VwqwGubF2MeQl3lt0jIkNbFIaUzpWM9aFfZ4e549fxrDkc9Q+bVEW49pXSdU36c8LWH/iLvv93wmtUTBXFkljCSH1ICDWunq4MMeSoRsCUTxfNrSs5Cqp1Joh3nssP4HTt5/DIRPgN7YVSrhkN8ck0ddEBHj7gZp00J8/fw4Xl7Rvl1+/fo2mTZviwoULoHMAJUqUYGfL6f958uRBkSJFGORBQUHs8H7btm1ZJveUlpCQwHbNKcQ9LCwMlCFeTuNNjJyxpcqKG7pUpGxHTnBuO1zKmYngXQ5atiMreNcul7Tj3Xq+H26GvUKBnFlwcpwHMkuobZwe54euPMFHa/9lgLxdhun9xccQ/PAlSrhkw9GvPbQLmh1bLta6fZJviHffK6EYtDaAATKgcSlMlbATb5/oKTtr3n6gJh30rl27Ijo6mu1yFy9enGVxX7duHW7duoVZs2axXXBqd+7cQZkyZTBgwACsXbs2lRkqs/b333/D3d0dpIuc840bNzLnffLkyaAkcHIbb2Lkji9FXtzQpaBkWzKCc9viU+psBO9SkbItOcG7tvlc4HMNC3yus0lsGuKGpuULGJ1QepwvOXwDc/ZeZf33jmyOyoVzs/9TbfQaU/YhISkZHWsVxSIREmsUYzUKiLWuRlaUt8kQ70lJyfBecATXn0SxnBfHv/WESw6RV0J5NtKOwNsP1KSDvnr1auaQ02437abTbjftin/55ZcsSVxKS89Bj42NxZIlS1jmdnLqKZt71apVWf3zIUOGmMQpb2JMMsJIJ3FDVwJVdesUnKubH6WsE7wrhay69Qre1ckPhbvvOheC1lUKIX/O9MPJb4ZFwfMHPzaJDxuUwPfdahqdUHqcf7ElCH+dC4GTYyZcnNo2NcyeQmEpJJba5Per4qOmZYyOIQTUh4BY6+rjxBIWpcf7toD7GLv9PDNhVOuK+LJ1BUuYI8bQQ4C3H6hJB12NVwRvYpSYo7ihK4GqunUKztXNj1LWCd6VQlbdegXv6uPn/IMX6LPyFCJjE/Btu8oY6p5+CViy/r1FR3ExJAJ5sjmx8+HGzq+nx3mbH/1wLTQKlQvnwt6RLVKBWe53E7P+0WWO/nN4U9QqIWqjq++qMW6RWOvGMdKKxJXHEQi8G47EpGT0b1w6Q7PT4z0uIQnN5/giNCKW7Z77f+OBbM6OWoHAJuzk7QcKB53TZcGbGE5mpVEjbuhKoKpunYJzdfOjlHWCd6WQVbdewbv6+ImJT0TjWQcRHh2Pki7ZcfirlnCgbE7pNMrkThndqa0eUB+eVTLOsG6I89iERFSdtI898HepUww/9qydOholpdp78TFz/C9M8Tb6AkB9iAqLCAGx1m3nOuiyxB9B916gSJ6sODHO0yQHnTrpv3z7rnN19GtUynZA0sBMePuBwkHnRDpvYjiZJRx0JYDUkE7xJa4hsjiaKnjnCKaGVAne1UnWrD2XsfzILWYclTujsmfptQfh0Wg2+xD7uFPtolj4YcZlkwxxrp8Rfly7yvj0v117SkTnNvMgnkTGsrJvv3/WRJ2ACauMIiDWulGINCMwdddF/OJ/B5kyAafHZ1xVISPeI2Li0XSWL4vWoZeBh75qCccMXgZqBiCNGMrbDxQOOifieRPDySzhoCsBpIZ0ii9xDZHF0VTBO0cwNaRK8K5Osu48fYWW8w4z47yrFWJ10TNq3ZYeZyGv2Z0dETjRK8NQVUOcbw98gK+26eqcrxvUEO7/vRAIefEaTb73ZX8f0qwMJnaoqk7AhFVGERBr3ShEmhG4FhqJsMhY1CyeB7myOmVotzHeZ/1zGcv9dC8Df+5dF+/V1FWwEk15BHj7gcJB58QZb2I4mZVGjbGFrcSYQqd1ERCcWxd/a40ueLcW8tYdV/BuXfwzGr3f6lM4ev0p29Gi86GF82RNV3yt/21M2XVJ0kO2Ic6n776EVcdus/6nJ3jCNZdurL/PP8LwzWck6VUvksIyQkCsdfu8DozxHhoRg2azfRGfmIxaxfNg5/CmyERb86IpjgBvP1A46Jwo400MJ7OEg64EkBrSaexmrqGpCFNlICB4lwGWDYkK3tVL5t4LjzB0o845Htm6wv/bOw/wKqqtDa8k9Bo6CEjvvfdAQAW9KoqIIngFQURRQYqC6L14LwgCothRuKCCCggWLHQSuvSO9N57r0n+Z28MfwIJOZOz9jl7zXznef7n95KZtb/9vjNzzjozZ4Z63FM62bBHz12muu/Modi4lM+4J+W8/eg/aeH245Qrczpa8eY9Nz+gJ2zcF/dtSneFZ7QXGJLdkQD2dW9uIL547zN5LU1euV8D+u65ulSvRC5vwgrwrLn7QDToTAK5xTDFQoNuAqSgmr4czAVNB1F9JADvPoJy2WLwbq/QazGx+syWusty/mwZaOHrkZQmLDTZwO1GL6VF20/om7ipJjtbMpe+JuW85sBZdPz8VWpQMhdN6Fz35hjxl87ny5aelvZrhjNr9m4uKSbDvp4iIpELqPtEqFdyZ7198b7tyDm69/35uk6TMnloXMfaIllIC83dB6JBZ9oCuMUwxUKDbgKkoJq+HMwFTQdRfSQA7z6Cctli8G630BGzttKHc7bpkF88XYPuq5A/2cATl++l16es138f/ngVal2jUJLL3upc/Za11qDZetlODYvRW3//zlw9hqnigBmk/n+LCvnp86dr2A0L6e5IAPu6uzYQdc+Jz6J20Jp9p3RDXbFgdp/29+QodBq3nOb8dVT/eXqPRlQ2fzZ3AbNwNtx9IBp0JsncYphioUE3AVJQTbyJC5LFGBXeGWEKKgXvdstSN2lTZ9HVpevqxm3qBm7JvU5fvKobbfVb0jste6vzBduO0dNjlumyw1pXpsdrFtb/vXbfaWr5ySL93wnv7G43MaRLdvs4fZqio6OpcePGFB6OZ9lL31KW7DhBbb9cqqfx35YV6Olknofu6zF+2a6T1GbUEl2vVfWCNKLN/z9qUTorW/Nz94Fo0JlMc4thioUG3QRIQTV9PZgLmhKi+kAA3n2A5MJF4N1+qZ2/WkGzNx/Rj1SK7h1Jd+fKlGzo+LNg6sZyy/vfQzkzp7tt2Vudfzl/Jw36fbNe7teXG948E5fwxnOTnq9HtYvltB8WEiZLAPu6uzaOC1euU6UBM/SXd62qFaQRTyTdUPvqXV0q3+qzxfr56mlCQ2j+a5G454ThTYa7D0SDziSMWwxTLDToJkAKqunrwVzQlBDVBwLw7gMkFy4C7/ZLnbflKHUcu1wH7dq4BPW9v2yyoX9ec4C6f79G/33gIxWpfd0iKTboPSeuoamrD+i7xW98uzllSBum15m0Yh99tXg3bTt6ntb+6747PrrNfopIiH3dfdvA/SMX0OZDZ6lY7sz6GeZJvZx4T3hjyucaFaP+/8BjFU1uNdx9IBp0JlvcYphioUE3AVJQTScHc0HTQtQUCMC7NzcReLffe2xsHEUMm0f7T13Sd1lf3K8ppU9zo4m+9aXOqtUYOIsuX4ulOsVy0sTn66XYoMd/yC+VNwvN6tn4tuUvX4u52bTbTwsJkyOAfd1928YbP66nb//cqye2+q17KYcPV8zciUJMbBzdMyKadh2/QJnThdHifs0oe8Y7P2fdfVQDNyPuPhANOpM7bjFMsdCgmwApqCbexAXJYowK74wwBZWCdxmyPo3aTkOnb9FhP2xbjR6ucleywdVzy9Xzy9Ul8Uv6Nrvt+ekJnWfOmo3K/2u6/t36Q1Xuoo/aVpMBBCkdE8C+7hiZ9StMXrGP+vywTucc26EWRZbNm+IXcilNSjX8qvFXr9dalKEXm5RMaRX8PZUEuPtANOipFHHratximGKhQTcBUlBNvIkLksUYFd4ZYQoqBe8yZKk7rdcfMkc30uq34Oo34cm9pm84TF3Hr9R/fvMf5ahzo+LJvq8fuRxGzT+48XilPs3LULdIfBiXsUU4T4l93Tkz29fYfvS8PuOtXq80LUk97yvjd4OurphRN6ZUj13MkzW9frxjclfs2M7H9nzcfSAadCbj3GKYYqFBNwFSUE28iQuSxRgV3hlhCioF73JkvfTtKvp13SEdeH6f5G8Wpz5g1xo4m85duU5VCofTz90aJPu+Hr37ws3frP+vQ01qWjafXnbDgTP6N+fFc2fGs8/lbCJ3TIp93SUiE0xD/fyl6n9m0tnL16lRqdz0Tac6fjfoqsDHc7fR8Jlbda13H6tET9S6233wLJgRdx+IBp1JKrcYplho0E2AFFQTb+KCZDFGhXdGmIJKwbscWSt2n6Rpaw/SU3WKUJn8We8YvNektTRl1X69THSfJlQkV+abyyd0/vmSw/R59A79t8V9m968a3PbL5bSkp0ndIM+N5mbT8khh6SKAPZ1d24HT4/5kxZsO05ZM6TRN3MMDQ3x+3O8emRj/SFz6eLVGCqeJzPNfrXxbXXdSTOws+LuA9GgM/njFsMUy+8d20QO1AwcAbyJB461TSPBu002ApcF3gPHOpAjRW05Sh3+vvP7rZeuJ3TefepWit56jLKpD/f/vk+fLVc3ilKPb1IfzpuWzUv/61ArkNExliEC2NcNgQ1y2RGzttKHc7bpFLN7RlDJvIm/vEut97enbaSxi3brul/+sybdW/7G1TV48RHg7gPRoDO54RbDFAsNugmQgmqm9mAuaIqImgQBePfmZgHv7vR+LSaW6rwzh05euEpl8mWlGa9G3JxoQufNP11BR85eSXTHd7Xu/K3H9POQS+XLQi2rFnQnJI/NCvu6O4UnfAzj0NaVqU3Nwiyf4/efukiNh0XpL+xqFslBP7xQ350Agzgr7j4QDTqTTG4xTLFYdmwTWVAzMATwJh4YzraNAu+2GQlMHngPDGcTo+w7eZEK58yUbOn+P66nCX8/gmlGj4ibl8XHO69cqz5FfrhMr9+hflEa8HAFEzFR0xIC2NctEcEc49SFq1Ttv7N01ba176bBrSqxfY7v8f1q+mnNQV1vygv1qEaRnMzpvV2Ouw9Eg860PXGLYYrFtmObyIOa5gngTdw8YxtHgHcbrZjPBO/mGXOPsGbfaXr3j7/0b8R/fbkhVSyYPckhlu48QU9+sVT/7eWmJanX33d4jneeqWgVeu67jfrvQ1pVoidr40ZQ3K5sqod93SYbvFmaDo+inccvUNn8WWl6j/+/WkaN4o/3TQfP0gMfLtBh7yufj774Z03e4B6vxt0HokFn2qC4xTDFQoNuAqSgmv4czAVNE1FvIQDv3twk4F2ed9WgP/LJIh28be3CNLhV5SQnoe7wXG/IHH0Je5FcmSiqdxP9G/N45/szlaJhc3bpdX/q1oCqFg6XBwOJfSaAfd1nVOIW7DlpDU1ddYDU/eHWDWhOWdKnuTkHf73H34QuJIRo1quNqWTeLOL42BqYuw9Eg85kmlsMUyw06CZACqrp78Fc0FQRNQEBePfm5gDv8rzHxcXRo58upoI5MtI/6xahOsVzJTuJ//66icYsvNGE//JSA6pcKPxmgz7vwl3007qjpD54b3y7OWVKl4bOXLpG6tL4anfn0DeIK5b7/+/+Lo8UEickgH3dvdvDN0v30Fs/bdAT/Pa5OlS/RG62Bn3R9uPUbvSfut6TtQrTkMeS/kLQvXTNzYy7D0SDzuSKWwxTLDToJkAKqok3cUGyGKPCOyNMQaXgXZCsBFGvx8RSmrDQFMOv3XeaWv59tr1zw2L05oPlbzboo3aF06bD53UTPu/vR6mpm8P98383fpeOy95TxCtqAezronQ5CrvhwBl68KOFep07PbUhPNz5VTLqC0FVe+PBs5QuLJQW9o2kvFkzOMqHhZMmwN0HokFn2tK4xTDFQoNuAqSgmngTFySLMSq8M8IUVAreBclKRVT14VrdiXnvyYuUP1sG/azzs2fP0NyoaOq3Ih1duR5LD1TKT5+2q6Grj5y9jd6fvVX/d8Iby6ViaKxiGQHs65YJYYyjvrDrOn6lvh9Fs7L5qFKh/78vBYf3X9YepFe+W60Tv9ikBL3Woixjeu+W4u4D0aAzbUvcYphioUE3AVJQTY6DuaDpIurfBODdm5sCvLvDu2rE1e/Lk3oNm/EXfTJvh/7TpOfrUekcoTRpejS9s+bG71R73luaXmlWSv93h7HLKGrLMf0bVvVc9DD1o1a8XEEA+7orNDqeBId39QVAk+FRtP/UJcqaIQ0t6dcs0e/cHYfCCpoAdx+IBp1pw+IWwxQLDboJkIJqchzMBU0XUdGge3obwP4uW7+6U7t6lFrGtKE0tHWVJCez5fA5av7BfP239nXvpt5NCtMHU+bTuG1h+t++eLoG3VchP6mbyqnHNanfoTcomYsmdK4rGw7S4/MctgG/7uKeEN+4RbtowLRN+p/e/Ec56tyoOOj6SYC7D0SD7qeQ+NW5xTDFwgHdBEhBNfGBXZAsxqjwzghTUCl4FyQriaiPfbaYVu45pX8buvSNZpQzc7okJ3Tf+9G09ch5/feZ3WrSGxMW0swDN37DvuC1SP089R3HzlOz96L1v70UWZJ6Ny8jGw7S4/MctgG2Bv3i1etUf8hcOn3xGhXInoHmvxZJaX24DwYUJE+Auw9Eg860tXGLYYqFA7oJkIJq4gO7IFmMUeGdEaagUvAuSFYSUX9cvZ9enbhW/+WNB8pSl4gSSU7o47nbaPjMG78t/7RNefp01gbacCpUX6a67t/3UWhoCP2wcj/1nnyj1phnalKzcvlkw0F6fJ7z0DagfuayfPcpWr33FOXInI7a1CysZ895jB8xayt9OGebrjuiTRVqVb2QhwjzT5W7D0SDzuSIWwxTLBzQTYAUVJPzYC5o2p6PCu/e3ATgXbb3y9diqO7gOfqsVtFcmWhurya62b71tfv4Bf0bUvV6uFJeWrj1CJ28EkI1iuSgKS/U1/+uHq+mLpdXr1Vv3Zvs2XjZxLybHvu6+93XHzyHDp65TFULh9NP3RqwN+gnzl/RZ9HVzSXL5s9Kf3RvlOy9L9xP2/8ZcveBaND9d3LjDXDVKqpRowatXLmSqlevzlSVtwwO6Lw8JVSDcwmW+DPCOz9TCRXhXYKlO2cc9Nsm+nLBjWedj+9UhxqW+v9nICdc8+GPF9K6/WcoU7pQung1Vv+pXZ27adCjlfR/PzByAW06dFY3+lF9IuWDwQwSEcC+7v4NotuEVfTb+kOUNX0aWvWve/Ul6Nze3/xpPY1feuOLvHEda1GTMnndD9bQDLn7QDToTKK4xTDFwgHdBEhBNbkP5oKm7umo8O5N/fAu3/uu4xco8u+z4/dXzE+ftb/xyLRbX6MX7KSBv21O9M8DH6lI7esWIfX70or/nkGxcUSPVitI7z9RVT4YzACf5zy2DajnocfExlG5AtkoXZob95jgPsarq3GavheljxX1iuei77rgZpKp3cy4+0A06Kk1cct63GKYYuGAbgKkoJrcB3NBU/d0VHj3pn54d4f39qP/pIXbj+vHoqlnnefLluG2iR06c0lfnhoX9/9/mvJCPapRJCepu8E/+cVS/Yf/tKxA/6xX1B1gMIubBLCve3NjMOH9xQkr6ff1hzXQX15qQJULhXsTrp+z5u4D0aD7KSR+dW4xTLHQoJsAKaimiYO5oOl7Niq8e1M9vLvD+x/rD9ELE1bpySR8rvmts2szagkt23Xy5j+vH3AfZc2Qlj6L2kHvTv9L//u0lxpSpULZ3QEGs0CD7vFtwMQxfu2+09Tyk0Wa7D8qF6BPnrLzZ7q2q+fuA9GgMxnnFsMUCw26CZCCapo4mAuavmejwrs31cO7O7xfi4nVZ8ePnbuiH4GkHp2WJolHIH2zdA+99dMGPemC2dPTon736P/u8vUKmrnpCKVPE0ob3m6Oxye5Y7PA5zkXevR1SupSd3VFjalj/JNfLKGlO0+SuiflvN5NqEiuzL5Gw3J/E+DuA9GgM21a3GKYYuGAbgKkoJqmDuaCEHgyKrx7UruxD2/epBncWb83cwt9NHe7DjH6nzXpnvK3PyZN3YW59qDZFBNHFFkqJ43tVI/U45lqvzNHN/e1iuagyV1v3NUdL3cRwDHeXT6Tm82sTUdI3W9i/YEzFNW7CaWLvUzR0dHUuHFjCg/nuxR93l9HqeO45TrG03WL0H8fqegNwIyz5O4D0aAzyeEWwxQLDboJkIJq4k1ckCzGqPDOCFNQKXgXJCuFqAdOX6JG787VN2+KLJOHxnasneQaI2dspMnLdtGgVpWpcYW7af+pi9Tw3Xl62S4RxemNB8q5BwpmcpMA9nVvbAw/rT5APSau0ZMd9XQNqlMwg5EGXX2x1+KDBbTlyDnKkDaUFr3elHJlSe8NyEyz5O4D0aBbKoYpFhp0EyAF1cSbuCBZjFHhnRGmoFLwLkiWD1E7f7WcZm8+SiEhRPP7RFLhnJluW+tW59PWHqSXv1utl/usXXW6v1IBH0bCItIIYF+XZix1efecuECNh0Xplbs2LkFd6+U30qCr+lNW7qdek9fqsbo3K0Wv3ls6daE9uhYadEvFc4sxMU0c0E1QtbsmnNvtx1Q6eDdF1u668G63H6fpEl522i2yBPVpXjbFBn3O5iP0xfyd+hnp6rek+bPffgd4pzmwvH0EsK/b58REInVmu8bA2XTywlWqUywnjXqinLEG/er1WIoYOo8On71MOTKlpcV9m1HGdGEmpuXKmtx9IM6gM20m3GKYYiUqgwO6Cap214Rzu/2YSgfvpsjaXRfe7fbjNJ26MZT6wKwud8+dJZ3+wBz/POT4Wsk5vx4Tm+SN5ZxmwPJ2EsC+bqcXE6k6jVtOc/46ShnThtGCV+vQogXz2X+DHp/7y/k7adDvm/X/xCMandnk7gPRoDvjn+zS3GKYYqFBNwFSUE28iQuSxRgV3hlhCioF74Jk+Rj1k3nbadiMLXrpj5+qRg9Wvgvv6z6yc/Ni2NfdbDfx3D6eu42Gz9yq//H7jlXoyF8rjTXo5y5f00+QOHf5OhXOmZHm9WqCL/p83NS4+0A06D6CT2kxbjEpjZeav+OAnhpqsteBc9n+Upse3lNLTvZ68C7bX1Lp1d3Y6w2eQ3mypqfXWpShR6sVQoPuPs2OZ4R93TEysSss2n6c2o3+U+fv37w45T271ViDrsYY8sdf9Hn0Dj3eR22r0UNVEn8pKBak4eDcfSAadCZh3GKYYuGN3ARIQTXxJi5IFmNUeGeEKagUvAuS5SDq2n2nqcJd2ZI8k5XQ+cGLoXQ9NpbK5s9226XwDobDogIIYF8XIIkpojqrXfntmRQXR/RQxbx0T9aDRhv0I2cvU6N359HVmFiqVDA7/fJSAwpRd6rE644EuPtANOhMGxy3GKZYaNBNgBRUE2/igmQxRoVR4jOKAAAgAElEQVR3RpiCSsG7IFlMURM6f/P3nfTrukOUJX0aWv2veyltWCjTKChjGwHs67YZMZun+fvz9SPQiubMSK+WOWe0QVczef2HdTRxxT49qW8716H6JXObnaALqnP3gWjQmTYKbjFMsdCgmwApqCbexAXJYowK74wwBZWCd0GymKImdP6Pz1fpG8pVLqTOejVkGgFlbCSAfd1GK+Yy9Z2yjr5ffqNhHlzrOt3frDGFh4cbG3D70XN0z4j5un5E6Tz09bO1jY3llsLcfSAadKYtg1sMUyw06CZACqqJN3FBshijwjsjTEGl4F2QrFREPXv5Gv28+gAVyJ6R7imfT1eIdx4REUFbT8XS6n2nKTxjWnqy9t2pGAGrSCGAfV2KKZ6cE5fvpdenrNfFupaLoa4tI4w26Gqczl+toNmbj+gx/+jeiMoVyMYzGZdW4e4D0aAzbSjcYphioUE3AVJQTbyJC5LFGBXeGWEKKgXvgmQ5jHrlegzVGzxXPw+5auFw+qlbg0QNeuPGZs+oOYyLxQ0TwL5uGLBl5bceOUf3vX/jjHaLQjE0pL35Bn3F7pPU+vMlesxHqxWk95+oahkVu+Jw94Fo0Jn8cothioUG3QRIQTXxJi5IFmNUeGeEKagUvAuSlYqovSatpSmr9uvfmM/p1ZjyZctw8ww6GvRUABW8CvZ1wfJSET02No6qvD2Tzl25TuXCY+m7ro2Mn0FXMVt9uohW7T1NYaEhNP+1SCoYnjEV6b2xCncfiAadabvhFsMUCw26CZCCauJNXJAsxqjwzghTUCl4FyQrFVE3HjxD6/afoYer3EWZ06fRFeA8FSBdsAq8u0Ciwym0H/0nLdx+nNKGxNHv3WpTqUJ5HVZwvviMjYfp+W9W6hU7NSxGbz1Y3nkRj6zB3QeiQWfacLjFMMVCg24CpKCaeBMXJIsxKrwzwhRUCt4FyWKKqpzPjYqmX07kpWpFclOzcnmpYsHsTNVRxlYC2NdtNWMu10+rD1CPiWv0AE9WL0BD2lQ3N9jfldWZ+3tGRNPO4xcoU7owWtK3GWXPlNb4uBIH4O4D0aAzbQXcYphioUE3AVJQTbyJC5LFGBXeGWEKKgXvgmQxRVXOJ/weTcPW3Tij3qd5GeoWWZKpOsrYSgD7uq1mzOWKiY2je0fMo53HL1GeLOlowetNKUPaMHMD/l35u2V7qd/UGzeow/EledzcfSAadKZNm1sMUyw06CZACqqJN3FBshijwjsjTEGl4F2QLD+jXouJpYXbjlPVfGnpnUkLaPKuGx/U8cxiP8EKWR37uhBRzDF/Xr6TZizbQP1b16eC+QLzbPLL12Ko4bvz6Pj5K5Q7S3pa+HpkQL4YYEZnvBx3H4gGnUkZtximWGjQTYAUVBNv4oJkMUaFd0aYgkrBuyBZfkSdvekI9ftxPR07d4W+eroSfTJ9LS07FkohIUTrBzTXN5HDy90EsK+7229yswuW90/mbadhM7boWINbVaK2eIzjbYq4+0A06Ez7OLcYplho0E2AFFQzWAdzQYhcGRXeXak1xUnBe4qIXLHApoNn6YEPF+i5PFgxDy3bfpSOXg6hsvmz0vQeEa6YIyZxZwLY1725hQTL+5mL16jekDl08WoMFc+dmWb3bEyhoSHelJDMrLn7QDToTJsXtximWGjQTYAUVDNYB3NBiFwZFd5dqTXFScF7iohcs0D844/ShYXQ1Zg4Pa+2tQvT4FaVXTNHTCR5AtjXvbl1JPSeJWs2+nH1AapeJAeVyJPFOJD//rqJxizcpccZ9XQNal4hv/ExJQ3A3QeiQWeyzy2GKRYadBMgBdXEm7ggWYxR4Z0RpqBS8C5Ilp9Rp6zcT70mr01UZehjlalNrcJ+VsbqEghgX5dgiT9jvPdKtepT52836rurP1i5AH38lPk7uh84fYkaD51H12PjqNrd4TT1hfoUon5Xg5cmwN0HokFn2rC4xTDFQoNuAqSgmngTFySLMSq8M8IUVAreBcnyM6q6cVOdd+bQmUvXblaa9WoElcqX1c/KWF0CAezrEizxZ4z3HhERQc9P/IuW7T5JmdOF6Tu658ycjn/AWyq+OnGNPmuvXpO71qNaRXMaH1PKANx9IBp0JvPcYphioUE3AVJQTbyJC5LFGBXeGWEKKgXvgmQxRE14yWmW9GG07t/N8btQBq4SSmBfl2CJP2NC71tPxdLMjYepa5MS+u7qgXhtPnSW7h954/4X95TLR6OfqRmIYUWMwd0HokFn0s4thikWGnQTIAXVxJu4IFmMUeGdEaagUvAuSBZD1B3HzlOz96J1pTpFs9PErg0ZqqKEBALY1yVY4s9og/dn/reMorce05Ob3TOCSubFVTuKBXcfiAadaf/hFsMUCw26CZCCatpwMBeEyzVR4d01Kh1NBN4d4XLFwv0mr6Kf1x6kIY+Up4drFnfFnDCJlAlgX0+ZkRuXsMH74u3H6anRf2q8bWoWoqGtq7gRteM5cfeBaNAdK0h6BW4xTLHQoJsAKaimDQdzQbhcExXeXaPS0UTg3REuVyysnEdFRVOTJo0pPDzcFXPCJFImgH09ZUZuXCI573FxcTR781HKny0DVSqU3ejU1VgPf7yI1h84Q+nCQmnB65GUL1sGo2NKKM7dB6JBZ7LOLYYpFhp0EyAF1cSbuCBZjFHhnRGmoFLwLkgWU1Q4ZwIprAy8CxPGFDcp7+qGkU98sZTW7jtN9Yrnou+61GUaLfkyv647SC99u1ov0LVxCep7f1njY9o+AHcfiAadyTi3GKZYaNBNgBRUE2/igmQxRoV3RpiCSsG7IFlMUeGcCaSwMvAuTBhT3OS8d/1mJU3feFiP8m3nOlS/ZG6mEZMucz0mliLfi6J9Jy9R1vRpaHG/ppQ1Q1qjY9penLsPRIPOZJxbDFMsNOgmQAqqiTdxQbIYo8I7I0xBpeBdkCymqHDOBFJYGXgXJowpbnLetxw+Ry1Gzqe4OKIaRXLQD13rGX9G+ddLdtO/ft6oZ9b/gXL0XIS374HB3QeiQWfaabjFMMVCg24CpKCaeBMXJIsxKrwzwhRUCt4FyWKKCudMIIWVgXdhwpji3sn7K9+tpl/WHtQjje1YiyLL5GUaNekyl67GUP0hc+jUxWv6t+/zX4ukdGlCjY5pc3HuPlBkg757924qVqxYkp46depEo0eP9snh999/Tx9//DGtW7eO1E0PSpQoQS+88AI9//zzPq2fcCFuMY4D+LACDug+QHLZInDuMqE+TgfefQTlssXg3WVCfZgOnPsAyYWLwLsLpfowpTt533nsPN0zIppi44gqFcxOv7zUwPhZ9PdnbaWRc7bp5MMfr0KtaxTyYRbuXIS7DxTdoLds2ZJat26dyHTJkiWpbt2Ub5DQs2dPGjlyJLVp04YaN26sG/Rt27ZRhgwZ6J133nG89XCLcRzAhxVwQPcBkssWgXOXCfVxOvDuIyiXLQbvLhPqw3Tg3AdILlwE3l0o1YcppeS9z+S1NHnlfl1p1NM1qHmF/D5UTf0iJ85foQbvzqXL12KpdL4sNKNHhPEvBVKf1uya3H2g6Aa9f//+NHDgQMfEf/vtN3rwwQfp22+/pbZt2zpeP6kVuMWwhLqlSEo7tokxUTO4BOA8uPyDNTq8B4t8cMeF9+DyD8bocB4M6sEfE96D7yAYCVLyvu/kRYocHkXXY+OobP6s9PsrjSg0NMRo1H/9vIG+XrJHjzG2Qy2KLGv20nqjk/GjOHcfKL5BV026emXMmNFnrBEREXTx4kVasWKFPnN+/vx5ypo1q8/ro0H3CxVWDiCBlA7mAYyCoQJIAN4DCNuioeDdIhkBigLnAQJt2TDwbpmQAMXxxXv/H9fThD/36kQfta1GD1W5y2i6vScuUpPh8/Sl9XWK5aSJz9czOp6txdGgE1H8b9CzZMmim2v1Upe29+jRg7p163ZHd2r57Nmz69+a586dmz788EM6deoU5ciRg9Tv19Xl7WnTOn9UALcYExugLzu2iXFRM3gE4Dx47IM5MrwHk37wxob34LEP1shwHizywR0X3oPLP1ij++L90JlL1HhYFF29HkvF82SmmT0iKE2Y2Zu3dft2Ff227pDG8lO3BlS1cHiwEAVtXO4+UOQZ9L1799Kzzz5LjzzyCBUpUoQOHjyobwynzoj37t2bhg0blqygNWvWULVq1XRzHhsbS2+99RYVKlSIvvvuO5o6dSq1a9eOxo8ff0fBhw4dIvV/CV+bN2+m9u3bU1RUFFWpUiVoG8idBj537hypDah69ep+XzFg5QQR6jYCcO7NjQLe4d3fq8K8SVDerLGvy3PGkRjeOSjKq+Gr96Gzd9K3K270Kf/9Ryl6qJLZy843HjpH7b5ap8e7p0wuGv5oWXlw/Uy8du1aatKkCa1cuVL3Wf6+RDboSU06JiaGmjZtSgsXLqStW7fqO7In9VJ/b9Sokf7T/Pnzb/63+t/NmjWjuXPn0saNG6l8+fLJsh0wYAC9/fbbSf79vffeS3Zsf2VhfRAAARAAARAAARAAARAAARBIjsDZq0T/XR1GV2NDKFf6OOpfNYYMn0SnjzeG0razoRRCN8bL4/svj10hcseOHdSrVy806EnZnDZtGj388MM0atQo6tKlS5LC1TcbNWvWpKJFi9KuXbsSLTNu3Djq2LEjffrpp/oS+OReOIPuin3JE5Pw9dtWT8Dw0CTh3UOyE0wV3r3nHc6951zNGN7hPaWrpD6Yt5vG/XlAg3qzRQlqXdXsHd0X7TxF3SZt0uM9Xi0/9W+e9IlSt5rDGfQ7mFXPM1eXlw8aNIjeeOONJJc8fPgwFShQgOrUqUNLly5NtMz06dPp/vvvv+P6yQ3P/dsDExuwL79dMTEuagaPAJwHj30wR4b3YNIP3tjwHjz2wRoZzoNFPrjjwntw+QdrdCfeT124So2GzqPzV65TgewZaF7vJpQhbZix6Oqm2/ePXEB/HT5H6dOE0qK+TSl3lvTGxrOtMHcf6JpL3JUo9Rvyxx57TP8eXd3wLblX4cKF9Z/27duXaBG13nPPPUdffvklde7c2ZF7bjGOBvdxYSc7to8lsZjlBODcckGG4sG7IbCWl4V3ywUZiAfnBqAKKAnvAiQZiOjU+4hZW+nDOdt0kgEPlacODYoZSPX/Jaeu2k89J63V//BK05LU874yRsezqTh3HyiyQT958iTlzJkzkZdLly5RgwYNaMOGDaR+B6Ca8GvXrun/VndtV2fN41+vv/46DR06lNQl8ep56OqlfsNev359/duB7du360vgnby4xTgZ29dlne7YvtbFcvYSgHN73ZhMBu8m6dpbG97tdWMqGZybImt3XXi324+pdE69n7l0jRq9O5fyZctAbzxQzvgzyq/FxFLjofPo4JnLFJ4pLS3u25QypUtjCodVdbn7QJENeqtWrfRzzOvWravvwK7u4v7VV1/Rzp07afDgwdS3b18tLf5xbM888wyp35fHv9Rj1dTv0NVvybt3704FCxakSZMm0YIFC/S6qobTF7cYp+P7srzTHduXmljGbgJwbrcfU+ng3RRZu+vCu91+TKSDcxNU7a8J7/Y7MpEwNd63HTlHxfNkobDQEBORbqs5esFOGvjbZv3vgThrH5BJ+TAIdx8oskEfM2aMbsi3bNlC6my6eh66uqW9arbVTeLiX8k16Orvqjnv168f/f7773TmzBn9HPWXXnrpjjeHu5MfbjE+bAuOF0nNju14EKxgFQE4t0pHwMLAe8BQWzUQvFulIyBh4DwgmK0bBN6tUxKQQBK8q9+81xs8h85dvk6FcmSkqN5NjD+HPSDwUxiEuw8U2aDbIOLWDNxiTMxRwo5tYt5ergnn3rQP7/AeHh7uTQgemzX2dY8J/3u68A7vqT3GX4+JNd4wD53+F30atUNL+rBtNXq4yl2uF8bdB6JBZ9pkuMUwxUpUBgd0E1TtrgnndvsxlQ7eTZG1uy682+3HRDo4N0HV/prwbr8jEwn98a5+jz5mwU6asuoA/d69EWXPmNZERF3z6LnL1HDIPLoaE0sV7spGv77ckEJCAnOJvbFJpVCYuw9Eg85kklsMUyw06CZACqrpz8Fc0DQR9RYC8O7NTQLevecdzr3nXM0Y3uHd6Rn0b5bsprd+3qjBBeIO632nrKPvl994Wtb4TnWoYancrpbG3QeiQWfaXLjFMMVCg24CpKCaeBMXJIsxKrwzwhRUCt4FyWKKCudMIIWVgXdhwpji+uP9yvUYihwWpZP0bl6GWlUvxJQq6TI7jp2ne0ZEU1wcUaNSuembTnWMjhfs4tx9IBp0JqPcYphioUE3AVJQTX8O5oKmiai3EIB3b24S8O4973DuPedqxvAO707PoCtiW4+coyK5MlH6NGEBAdjl6xU0c9MRPdZvrzSkCndlD8i4wRiEuw9Eg85kkVsMUyw06CZACqqJN3FBshijwjsjTEGl4F2QLKaocM4EUlgZeBcmjCmuNO8r95ykxz5bomffsupdNPLJakwk7CvD3QeiQWdyzC2GKRYadBMgBdWUdjAXhNbqqPButR5j4eDdGFprC8O5tWqMBoN3o3itLc7tPSY2zvjz0Vt/tphW7Dmlx4nu04QK5chkLV9/gnH3gWjQ/bGRYF1uMUyx0KCbACmoJvfBXNDUPR0V3r2pH9695x3OvedczRje4T01l7jHU7t8LYYm/LmX/rdwF03uWo/uCs9oDOisTUfoua9X6PodGxSlfz9UwdhYwSzM3QeiQWeyyS2GKRYadBMgBdXEm7ggWYxR4Z0RpqBS8C5IFlNUOGcCKawMvAsTxhSXy/sf6w/RCxNW6VRP1bmb3nm0ElPC28vExsbRve9H045jFyhj2jBa3Lcp5ciczth4wSrM3QeiQWcyyS2GKRYadBMgBdXkOpgLmjKi4uyKZ7cB7O/eUw/n3nOuZgzv8O7PGXTVND/w4QL66/A5ShMaQnN7NaG7c5m79Hzi8r30+pT1Wlqve0vTy81KuU4gdx+IBp1pE+EWwxQLDboJkIJq4k1ckCzGqPDOCFNQKXgXJIspKpwzgRRWBt6FCWOKy+l95sbD1OWblTpZ6xqFaPjjVZhS3l5GPeKt4bvz6Ni5K5Q7Szpa+HpTypA2MHeSNzapWwpz94Fo0JnMcYthioUG3QRIQTU5D+aCpu35qPDuzU0A3r3nHc6951zNGN7h3Z8z6IpeXFwctfxkEa3bf4ZCQ4hm9WxMJfJkMQb206jtNHT6Fl1/0KMVqV2dIsbGCkZh7j4QDTqTRW4xTLHQoJsAKagm3sQFyWKMCu+MMAWVgndBspiiwjkTSGFl4F2YMKa43N6jthylDmOX63QPV7mLPmxr7jFoZy5do/qD59CFqzFUNFcmmtOrifE7yDNh96kMdx+IBt0n7CkvxC0m5RGdL8G9YztPgDUCTQDOA03cjvHg3Q4PgU4B74EmHvzx4Dz4DoKRAN6DQT34Y3J7V2fRH/98iX4MWkgI0R/dG1HZ/NmMTXTQb5voywW7dP3P21enFhULGBsr0IW5+0A06EwGucUwxUpUhnvHNpERNXkJwDkvTynV4F2KKd6c8M7LU0I1OJdgiT8jvPMzlVDRhPfFO47TU1/+qaffvEI+GvV0TWMoDp6+RBFD59H12DiqUjicfnqxPoWobwZc8OLuA9GgM20U3GKYYqFBNwFSUE0TB3NB0/dsVHj3pnp49553OPeeczVjeId3f3+DnpDgU18upcU7Tuh/mvZSQ6pUKLsxwD0nraGpqw7o+hO71KU6xXMZGyuQhbn7QDToTPa4xTDFQoNuAqSgmngTFySLMSq8M8IUVAreBcliigrnTCCFlYF3YcKY4pryvnLPSXrssyU6ZWSZPDS2Y22mxLeX+evwWWrxwQL9h2Zl89KYDrWMjRXIwtx9IBp0JnvcYphioUE3AVJQTVMHc0EIPBkV3j2pHWfVPKgd+7oHpeMMujelG/beYewyitpyTLOd8kJ9qlEkhzHOCcea+WoElc6X1dhYgSrM3QeiQWcyxy2GKRYadBMgBdXEhzdBshijwjsjTEGl4F2QLKaocM4EUlgZeBcmjCmuSe/r95+hhz5eqJM2KJmLJnSuy5T69jJLdpygtl8u1X8w/Qx2Y5O4pTB3H4gGnckctximWGjQTYAUVNPkwVwQBs9FhXfPKdcThnfveYdz7znHvu5N54Hw3uXrFTRz0xEN+Lvn6lK9EmZ+H67uHv/IJ4to7f4zlDYshBa81pTyZ88gWix3H4gGnWlz4BbDFAsNugmQgmriw5sgWYxR4Z0RpqBS8C5IFlNUOGcCKawMvAsTxhTXtHf1+/D7Ry6guDiiWkVz0KTn6xm7y/rv6w/RixNWaTLPRxSnfg+UY6IUnDLcfSAadCaP3GKYYqFBNwFSUE3TB3NBKDwVFd49pfvmZOHde97h3HvO1YzhHd457+KekObL362maWsP6n/69eWGVLGgmTu6x8TGUdP3omjPiYuUJX0aWtyvKWXLkFasWO4+EA0606bALYYpFhp0EyAF1cSbuCBZjFHhnRGmoFLwLkgWU1Q4ZwIprAy8CxPGFDcQ3nccO0+DfttMr95T2ujj1hSSb5buobd+2qDp9Lu/LD3fuAQTqcCX4e4D0aAzOeQWwxQLDboJkIJqBuJgLgiHZ6LCu2dU4xjvTdU3Z4193ZsbALzDu6kz6IEke/laDDUYMpdOXLhK+bKlp/mvRVL6NGGBjMA2FncfiAadSQ23GKZY+PBmAqSgmngTFySLMSq8M8IUVAreBcliigrnTCCFlYF3YcKY4rrR+8jZ2+j92Vs1oaGtK1ObmoWZaAW2DHcfiAadyR+3GKZYaNBNgBRU040Hc0H4gxYV3oOGPqgDw3tQ8QdlcDgPCvagDwrvQVcQlADB8L7tyDk6c+ka1Sya08icT124SvWHzKVL12KoVN4sNKNHBIWGhhgZy2RR7j4QDTqTLW4xTLHQoJsAKahmMA7mgvC4Niq8u1btHScG797zDufec65mDO/wbvoSd/UotL5T1tOklfuoRJ4bjXOYocZ5wC8badzi3VrqmGdqUrNy+cQJ5u4D0aAzbQLcYphioUE3AVJQTbyJC5LFGBXeGWEKKgXvgmQxRYVzJpDCysC7MGFMcQPtPWHjPLZDLYosm5dpJonL7Dt5kRoPm0excUS1i+akSV3rGRnHZFHuPhANOpMtbjFMsdCgmwApqGagD+aC0Lg6Kry7Wm+yk4N373mHc+85VzOGd3g3fQZdET569jJ1/34NvdS0JNUvkcvYM9HVWAkf7zb1xfpU/e4coiRz94Fo0Jn0c4thioUG3QRIQTXxJi5IFmNUeGeEKagUvAuSxRQVzplACisD78KEMcV1s/cNB87Qgx8t1KRaVMhPnz9dg4laYMpw94Fo0Jm8cYthioUG3QRIQTXdfDAXpCHgUeE94MitGBDerdAQ0BBwHlDc1gwG79aoCGgQt3tvN3opLdp+gkJCiOb0bEzF82QJKF9/BuPuA9Gg+2MjwbrcYphioUE3AVJQTbcfzAWpCGhUeA8obmsGg3drVAQsCJwHDLVVA8G7VToCFibY3g+evkR7TlykeiVyGZnz/K3H6J//W6ZrP1Xnbnrn0UpGxjFRlLsPRIPOZIlbDFMsNOgmQAqqGeyDuSBUrooK767S6fNk4N1nVK5ZEM5do9LRRODdES7XLBxM7yNmbqHPo3dSeKa0NP+1SMqQNoydq7pz/AMfLqTNh85SujShtOj1ppQna3r2cUwU5O4D0aAzWeIWwxQLDboJkIJqBvNgLgiT66LCu+uU+jQhePcJk6sWgnNX6fR5MvDuMypXLRhM7x/N2Ubvzdqqeb75j3LUuVFxI2x/Wn2Aekxco2u/FFmSejcvY2Qc7qLcfSAadCZD3GKYYqFBNwFSUM1gHswFYXJdVHh3nVKfJgTvPmFy1UJw7iqdPk8G3n1G5aoFg+n9/JXr1OjduXTq4jXKlTmdPoueOX0adr7XYmKpybAoOnD6EmXPmJYW921qZBzu4Nx9IBp0JkPcYphioUE3AVJQzWAezAVhcl1UeHedUp8mBO8+YXLVQnDuKp0+TwbefUblqgWD7X1U9A4a/Mdfmmmf5mWoW2RJI3z/t3AX/efXTbr2vx4sT882LGZkHM6i3H0gGnQmO9ximGKhQTcBUlDNYB/MBaFyVVR4d5VOnycD7z6jcs2CcO4alY4mAu+OcLlm4WB7v3Q1hhoNnUfHz1/RZ7cXvB5J2TKkZed74cp1qj9kLp25dI0KhmekqD5NKG1YKPs4nAW5+0A06Ex2uMUwxUKDbgKkoJrBPpgLQuWqqPDuKp0+TwbefUblmgXh3DUqHU0E3h3hcs3CNngfu2gXvT3txtnt7s1K0av3ljbCd/iMLfTxvO269sgnq1LLqgWNjMNVlLsPRIPOZIZbDFMsNOgmQAqqacPBXBAu10SFd9eodDQReHeEyxULw7krNDqeBLw7RuaKFWzwfvlaDEUOj6JDZy5TlvRpaMFrkZQjczp2vsfOXaEG786lq9djqVyBbPT7Kw0pRD0g3dIXdx+IBp1JNLcYplho0E2AFFTThoO5IFyuiQrvrlHpaCLw7giXKxaGc1dodDwJeHeMzBUr2OJ9wp97qP+PGzTTF5qUoNdblDXCt9/U9fTdsr269tfP1qaI0nmMjMNRlLsPRIPOYYWIuMUwxUKDbgKkoJq2HMwFIXNFVHh3hUbHk4B3x8jErwDn4hWmagLwnips4leyxbs6q91sRBTtO3mJMqYN03d0N/G88p3HzlOzEdEUF0fUsGRuGt+5jrUOuftANOhMqrnFMMVCg24CpKCathzMBSFzRVR4d4VGx5OAd8fIxK8A5+IVpmoC8J4qbOJXssn75BX7qM8P6zTTTg2L0VsPljfCt+s3K2n6xsO69q8vN6SKBbMbGcffotx9IBp0f438vT63GKZYaNBNgBRU06aDuSBs4tzVSycAACAASURBVKPCu3iFqZoAvKcKm+iV4Fy0vlSHh/dUoxO9ok3er8fE0n3vz6edxy9QujShNL9PJOXPnoGd76q9p6jVp4t13Yeq3EUfta3GPgZHQe4+EA06hxVc4s5EEWW4Cdh0MOeeG+olTwDevbl1wLv3vMO595yrGcM7vIeHhwcdwi9rD9Ir363WOZ6uW4T++0hFI5nafL6Elu0+ScVzZ6bfuzeiDGnDjIzjT1E06P7QM7gutxgTUXFAN0HV7ppwbrcfU+ng3RRZu+vCu91+TKSDcxNU7a8J7/Y7MpHQNu+xsXF0/8gFtOXIOUobFkLzejehQjkysU992a6TdPTcZWpRIT+lsfR56Nx9IM6gM21G3GKYYiUqY9uObWKOqJmYAJx7c4uAd3i34eyKNy0EdtbY1wPL25bR4N0WE4HNYaP36RsOU9fxKzWIJ2oWpndbVw4sFEtG4+4D0aAzieUWwxQLDboJkIJq2ngwF4RPbFR4F6vOr+Dw7hc+kSvDuUhtfoeGd78Riixgo/e4uDh66OOFtO3IeerQoCj1bVHW6ueVmxLP3QeiQWcyxS2GKRYadBMgBdW08WAuCJ/YqPAuVp1fweHdL3wiV4Zzkdr8Dg3vfiMUWcBW75sPnaWcmdNRvmz8N4mTIoq7D0SDzmSeWwxTLDToJkAKqmnrwVwQQpFR4V2kNr9Dw7vfCMUVgHNxylgCwzsLRnFF4N1eZdx9IBp0JtfcYphioUE3AVJQTRzMBclijArvjDAFlYJ3QbKYosI5E0hhZeBdmDCmuFK8q8veQ0JCmGYtowx3H4gGnck7tximWGjQTYAUVFPKwVwQUhFR4V2EJvaQ8M6O1PqCcG69IiMB4d0IVuuL2u5dNeZRW4/RB7O20qBHK1HFgtmtZ8oVkLsPRIPOZIZbDFMsNOgmQAqqafvBXBBKUVHhXZQutrDwzoZSTCE4F6OKNSi8s+IUU8x27xsOnKEHP1qoeTYrm5fGdKglhq2/Qbn7QDTo/hr5e31uMUyx0KCbACmopu0Hc0EoRUWFd1G62MLCOxtKMYXgXIwq1qDwzopTTDEJ3v/5v2W0cNsxeqx6IRrcqpK1zy3nls7dB6JBZzLELYYpFhp0EyAF1ZRwMBeEU0xUeBejijUovLPiFFEMzkVoYg8J7+xIRRSU4H370fMUGkJUPE8WEUy5QnL3gWjQmcxwi2GKhQbdBEhBNSUczAXhFBMV3sWoYg0K76w4RRSDcxGa2EPCOztSEQXh3V5N3H0gGnQm19ximGKhQTcBUlBNHMwFyWKMCu+MMAWVgndBspiiwjkTSGFl4F2YMKa48M4E0kAZ7j4QDTqTJG4xTLHQoJsAKagmDuaCZDFGhXdGmIJKwbsgWUxR4ZwJpLAy8C5MGFNcad5X7z1FI2ZtpS4RxalRqTxMFOwsw90HokFn8swthikWGnQTIAXVlHYwF4TW6qjwbrUeY+Hg3RhaawvDubVqjAaDd6N4rS0uyfvB05eo4btzKTaOqGrhcPrxxfqufjY6dx+IBp1pN+QWwxQLDboJkIJqSjqYC8JqfVR4t16RkYDwbgSr1UXh3Go9xsLBuzG0VheW5r3nxDU0dfUBzfR/HWpS07L5rObrTzjuPhANuj82EqzLLYYpFhp0EyAF1ZR2MBeE1uqo8G61HmPh4N0YWmsLw7m1aowGg3ejeK0tLs37nhMXqOl70RQTG0cV7spG015qSKHqFu8ufHH3gWjQmTYSbjFMsdCgmwApqKa0g7kgtFZHhXer9RgLB+/G0FpbGM6tVWM0GLwbxWttcYne+05ZR98v36eZftauOt1fqYC1fP0Jxt0HokH3x0aCdbnFMMVCg24CpKCaEg/mgvBaGxXerVVjNBi8G8VrZXE4t1KL8VDwbhyxlQNI9H7g9CWKHBZFV2NiqXS+LPRH9wgKc+FZdO4+EA060y7ILYYpFhp0EyAF1ZR4MBeE19qo8G6tGqPB4N0oXiuLw7mVWoyHgnfjiK0cQKr3f/28gb5eskczHflkVWpZtaCVfP0Jxd0HokH3x0aCdbnFMMVCg24CpKCaUg/mghBbGRXerdRiPBS8G0ds3QBwbp2SgASC94Bgtm4Qqd6PnL1MEUPn0ZXrsVQsd2aa9WoEpQkLtY6vP4G4+0CRDfru3bupWLFiSXLs1KkTjR492hHjxo0b0/z586ldu3Y0fvx4R+vGL8wtJlUhUlhJ6o5tgoVXasK5V0wnnie8w3t4eLg3IXhs1tjXPSb87+nCO7xLO8YP/HUTjV64S4sb2roytalZ2FUSuftA0Q16y5YtqXXr1okElyxZkurWreuz9K+//ppefPFFunDhAhp0n6lhQSkE8CYuxRRvTnjn5SmlGrxLMcWXE875WEqqBO+SbPFllez9+Pkr+iz6xasxVDA8I83r3YTSpXHPWXQ06EQUfwa9f//+NHDgwFRv+WpDL1OmDL366qvUr18/NOipJokVbSUg+WBuK1MJueBdgiX+jPDOz9T2inBuuyEz+eDdDFfbq0r3PmzGX/TJvB0a88BHKlL7ukVsR+5zPjTotzToqklXr4wZM/oMMX7Bbt260axZs2jDhg2UPn16NOiOCWIF2wlIP5jbztfWfPBuqxmzueDdLF8bq8O5jVbMZ4J384xtHEG699MXr1Kjd+fRuSvXKV+29BTdJ5IypA2zEbXjTGjQEzToWbJkofPnz2uI6tL2Hj16kGq6fXmtXLmSateuTb/++ivdf//9FBISggbdF3BYRhQB6QdzUbAtCgvvFskIYBR4DyBsS4aCc0tEBDgGvAcYuCXDucH7yNnb6P3ZWzXRtx4sT50aJn1PMUuQ+xwDDToR7d27l5599ll65JFHqEiRInTw4EF9Y7gVK1ZQ7969adiwYXcEGhsbq3+nXqBAAfr555/1sk4a9EOHDpH6v4SvzZs3U/v27SkqKoqqVKnis9BALnju3DlSG1D16tUpa9asgRwaYwWJAJwHCXyQh4X3IAsI0vDwHiTwQRwWzoMIP4hDw3sQ4QdxaDd4P3/lOv3js5V05vJ1ypkpLf3WtQZlTCf/LPratWupSZMmpE4Aqz7L35fIm8QlNemYmBhq2rQpLVy4kLZu3UolSpRIls3nn3+uf3e+adOmm3eDd9KgDxgwgN5+++0k67/33nt3HNtfYVgfBEAABEAABEAABEAABEAABCQSmH0ghKbtvdGUP1o0hpoUiJM4jUSZd+zYQb169UKDnpTJadOm0cMPP0yjRo2iLl26JCn72LFj+sZwL730Ev3nP/+5uYyTBh1n0MXvR56ZgBu+bfWMLMaJwjsjTEGl4F2QLKaocM4EUlgZeBcmjCmuW7xfuhpDHSesp0er5KNHK+dzxd3ccQb9Dhv5unXr9OXlgwYNojfeeCPJJV9++WX69ttv9aXoCW8sV6pUKVKPbRs+fDjlzp2bnD5fkPu3B0z7cqIybvjtigkubq4J5262m/zc4B3enb6HeZOY/FljX5fvMDUzgPfUUJO/jpu8x8XF6Z8Xu+XF3Qe65hJ3JXjq1Kn02GOP6d+jd+rUKUnn6nfr8b87T26jUL9hV79ld/LiFuNkbF+XddOO7eucvb4cnHtzC4B3eEeD7o1tAPu6NzzfOkt4h3cc4+3aBrj7QJEN+smTJylnzpyJzFy6dIkaNGigH5mmfgdQuHBhunbtmv7v7Nmz6xvCqdeSJUvowIEDt1l9/PHHqVGjRvTKK69Q5cqVqXTp0o7Mc4txNLiPC+OA7iMoFy0G5y6S6WAq8O4AlosWhXcXyfRxKnDuIyiXLQbvLhPq43Tc6v3ytRjacOAM1SyauLfzEYsVi3H3gSIb9FatWtHFixf1ndgLFSqk7+L+1Vdf0c6dO2nw4MHUt29fLWv37t36JnDPPPMMjRs37o4CnfwGPalC3GJMbG1u3bFNsHJLTTh3i0ln84B3Z7zcsjS8u8Wk7/OAc99ZuWlJeHeTTd/n4kbvP685QO/8vpnOXb5O81+LpNxZ0vsOxKIluftAkQ36mDFjdEO+ZcsWUmfT1fPQ1S3tu3fvrm8SF/9Cg554y3Xjjm3RvmllFDi3UovxUPBuHLGVA8C7lVqMhoJzo3itLQ7v1qoxGsyN3iet2Eev/bBOc3uhSQl6vUVZowxNFUeDboqsn3W5xfgZJ8nV3bhjm+Dkpppw7iabvs8F3n1n5aYl4d1NNn2bC5z7xsltS8G724z6Nh83er8eE0uPfbaYmpXLRx0bFKWsGdL6BsOypbj7QJFn0C1zouNwizExRzfu2CY4uakmnLvJpu9zgXffWblpSXh3k03f5gLnvnFy21Lw7jajvs3Hrd7dcEd37j4QDbpv+0SKS3GLSXHAVCzg1h07FSg8swqce0Z1oonCO7zjDr/e2Aawr3vD862zhHd4xzHerm2Auw9Eg87kl1sMUyx8aDcBUlBNvIkLksUYFd4ZYQoqBe+CZDFFhXMmkMLKwLswYUxxveBdXfK+dv9pqlFE1h3duftANOhMOw23GKZYaNBNgBRU0wsHc0E6AhYV3gOG2qqB4N0qHQEJA+cBwWzdIPBunZKABHK79/lbj9GAaRtpz4mLNKdnYyqaO3NAuHIMwt0HokHnsILfoDNRRBluAm4/mHPzcks9eHeLSWfzgHdnvNywNJy7waLzOcC7c2ZuWMPt3udsPkKdvlqhVbWqVpBGPFFVjDY06Jaq4hZjYppu37FNMJNeE86lG0xdfnhPHTfpa8G7dIPO88O5c2ZuWAPe3WDR+Rzc7l3dLO7RTxfTmn2nKTSEaOarEVQyb1bnoIKwBncfiDPoTBK5xTDFSlTG7Tu2CWbSa8K5dIOpyw/vqeMmfS14l27QeX44d87MDWvAuxssOp+DF7wv2HaMnh6zTMP5R+UC9MlT1Z2DCsIa3H0gGnQmidximGKhQTcBUlBNLxzMBekIWFR4DxhqqwaCd6t0BCQMnAcEs3WDwLt1SgISyAve1Vn0J0YtpWW7T2qmv7/SiMrflS0gfP0ZhLsPRIPuj40E63KLYYqFBt0ESEE1vXAwF6QjYFHhPWCorRoI3q3SEZAwcB4QzNYNAu/WKQlIIK94/3PnCXrii6Wa6b3l89GX/6wZEL7+DMLdB6JB98cGGnQmeihjioBXDuam+EmtC+9SzfmXG9794ydxbTiXaM3/zPDuP0OJFbzk/ekxf9KCbce1pp+7NaAqhcOtVoYG3VI93GJMTNNLO7YJfhJrwrlEa/5nhnf/GUqsAO8SrfmXGc794yd1bXiXas6/3F7yvnrvKX3DOPWKKJ2Hvn62tn/wDK/N3QfiDDqTMG4xTLESlfHSjm2Cn8SacC7Rmv+Z4d1/hhIrwLtEa/5lhnP/+EldG96lmvMvt9e8dxq3nOb8dVRDm9y1HtUqmtM/gAbX5u4D0aAzyeIWwxQLDboJkIJqeu1gLkiN0ajwbhSvtcXh3Vo1xoLBuTG0VheGd6v1GAvnNe8bDpyhBz9aqHnWLZ6Tvu9Szxhbfwtz94Fo0P018vf63GKYYqFBNwFSUE2vHcwFqTEaFd6N4rW2OLxbq8ZYMDg3htbqwvButR5j4bzo/YXxK+mPDYc1028716H6JXMb4+tPYe4+EA26PzYSrMsthikWGnQTIAXV9OLBXJAeY1Hh3RhaqwvDu9V6jISDcyNYrS8K79YrMhLQi963HjlHLT6YT80r5KfezctQiTxZjLD1tyh3H4gG3V8jf6/PLYYpFhp0EyAF1fTiwVyQHmNR4d0YWqsLw7vVeoyEg3MjWK0vCu/WKzIS0KveD5y+RAXDMxphylWUuw9Eg85khlsMUyw06CZACqrp1YO5IEVGosK7EazWF4V36xWxB4RzdqQiCsK7CE3sIeGdHSlbQe4+EA06kxpuMUyx0KCbACmoJg7mgmQxRoV3RpiCSsG7IFlMUeGcCaSwMvAuTBhTXHhnAmmgDHcfiAadSRK3GKZYaNBNgBRUEwdzQbIYo8I7I0xBpeBdkCymqHDOBFJYGXgXJowpLrwzgTRQhrsPRIPOJIlbDFMsNOgmQAqqiYO5IFmMUeGdEaagUvAuSBZTVDhnAimsDLwLE8YUF96ZQBoow90HokFnksQthikWGnQTIAXVxMFckCzGqPDOCFNQKXgXJIspKpwzgRRWBt6FCWOKC+9MIA2U4e4D0aAzSeIWwxQLDboJkIJq4mAuSBZjVHhnhCmoFLwLksUUFc6ZQAorA+/ChDHFhXcmkAbKcPeBaNCZJHGLYYqFBt0ESEE1cTAXJIsxKrwzwhRUCt4FyWKKCudMIIWVgXdhwpjiwjsTSANluPtANOhMkrjFMMVCg24CpKCaOJgLksUYFd4ZYQoqBe+CZDFFhXMmkMLKwLswYUxx4Z0JpIEy3H0gGnQmSdximGKhQTcBUlBNHMwFyWKMCu+MMAWVgndBspiiwjkTSGFl4F2YMKa48M4E0kAZ7j4QDTqTJG4xTLHQoJsAKagmDuaCZDFGhXdGmIJKwbsgWUxR4ZwJpLAy8C5MGFNceGcCaaAMdx+IBp1JErcYplho0E2AFFQTB3NBshijwjsjTEGl4F2QLKaocM4EUlgZeBcmjCkuvDOBNFCGuw9Eg84kiVsMUyw06CZACqqJg7kgWYxR4Z0RpqBS8C5IFlNUOGcCKawMvAsTxhQX3plAGijD3QeiQWeSxC2GKRYadBMgBdXEwVyQLMao8M4IU1ApeBckiykqnDOBFFYG3oUJY4oL70wgDZTh7gPRoDNJ4hbDFAsNugmQgmriYC5IFmNUeGeEKagUvAuSxRQVzplACisD78KEMcWFdyaQBspw94Fo0JkkcYthioUG3QRIQTVxMBckizEqvDPCFFQK3gXJYooK50wghZWBd2HCmOLCOxNIA2W4+0A06EySuMUwxUKDbgKkoJo4mAuSxRgV3hlhCioF74JkMUWFcyaQwsrAuzBhTHHhnQmkgTLcfSAadCZJ3GKYYqFBNwFSUE0czAXJYowK74wwBZWCd0GymKLCORNIYWXgXZgwprjwzgTSQBnuPhANOpMkbjFMsdCgmwApqCYO5oJkMUaFd0aYgkrBuyBZTFHhnAmksDLwLkwYU1x4ZwJpoAx3H4gGnUkStximWGjQTYAUVBMHc0GyGKPCOyNMQaXgXZAspqhwzgRSWBl4FyaMKS68M4E0UIa7D0SDziSJWwxTLDToJkAKqomDuSBZjFHhnRGmoFLwLkgWU1Q4ZwIprAy8CxPGFBfemUAaKMPdB6JBZ5LELYYpFhp0EyAF1cTBXJAsxqjwzghTUCl4FySLKSqcM4EUVgbehQljigvvTCANlOHuA9GgM0niFsMUCw26CZCCauJgLkgWY1R4Z4QpqBS8C5LFFBXOmUAKKwPvwoQxxYV3JpAGynD3gWjQmSRxi2GKhQbdBEhBNXEwFySLMSq8M8IUVAreBcliigrnTCCFlYF3YcKY4sI7E0gDZbj7QDToTJK4xTDFQoNuAqSgmjiYC5LFGBXeGWEKKgXvgmQxRYVzJpDCysC7MGFMceGdCaSBMtx9IBp0JkncYphioUE3AVJQTRzMBclijArvjDAFlYJ3QbKYosI5E0hhZeBdmDCmuPDOBNJAGe4+EA06kyRuMUyx0KCbACmoJg7mgmQxRoV3RpiCSsG7IFlMUeGcCaSwMvAuTBhTXHhnAmmgDHcfiAadSRK3GKZYaNBNgBRUEwdzQbIYo8I7I0xBpeBdkCymqHDOBFJYGXgXJowpLrwzgTRQhrsPRIPOJIlbDFMsNOgmQAqqiYO5IFmMUeGdEaagUvAuSBZTVDhnAimsDLwLE8YUF96ZQBoow90HokFnkrRo0SJq2LAhjR8/nsqVK8dUlbfMuXPnaOXKlVSjRg3KmjUrb3FUs5IAnFupxXgoeDeO2MoB4N1KLUZDwblRvNYWh3dr1RgNBu9G8fpVfPPmzdS+fXtauHAhNWjQwK9aamU06H4jvFFgwoQJWgxeIAACIAACIAACIAACIAACIAAC3iKgTtS2a9fO70mjQfcb4Y0Cx48fpxkzZlDRokUpY8aMTFV5y8R/u2PzWX7eGaManHtzG4B3eLf1Si5vmjE3a+zr5tjaXBnebbZjLhu8m2Prb+VLly7R7t27qXnz5pQ7d25/y+EMut8EBRXg/n2EoKl7Niqce1M9vMN79erVvQnBY7PGvu4x4X9PF97hHcd4d28DOIPubr+JZocDuodk403ce7ITzBj7ujf1w7v3vMO595yrGcM7vKNBd/c2gAbd3X7RoHvIb1JTxZu4NzcAeId3fHjzxjaAfd0bnm+dJbzDO47x7t4G0KC72y8adA/5RYPucdk4g+75DQAf2r23CcC595zjDLo3ncO7t7yjQfeQ70OHDtGoUaPo+eefpwIFCnho5t6dKpx70z28wzuO8d7YBrCve8PzrbOEd3jHMd7d2wAadHf7xexAAARAAARAAARAAARAAARAAASEEECDLkQUYoIACIAACIAACIAACIAACIAACLibABp0d/vF7EAABEAABEAABEAABEAABEAABIQQQIMuRBRiggAIgAAIgAAIgAAIgAAIgAAIuJsAGnR3+8XsQAAEQAAEQAAEQAAEQAAEQAAEhBBAgy5EFGKCAAiAAAiAAAiAAAiAAAiAAAi4mwAadIv9rlixgsaPH09z586lXbt2UebMmalChQrUr18/uueeexIlj4mJoWHDhtHo0aNp3759VLhwYercuTP16dOHwsLCbi57/vx5Gj58OK1cuZJU/cOHD9MzzzxD48aNS5KEr3UtxiguWrC9OxlfHFxLAzth7us+6XRfT4hGHXOaNWum/2nbtm1UsmRJS8nJjmWLd/XIpv/85z/022+/0ZEjRyhXrlxUu3Zt/VjOfPnyyYZsYXobvKvPCcr5nDlzSPlXnhs3bkz9+/en0qVLW0hNdiQTzp3UVPR8fe+QTdqu9E4c+erHSU0ny9pFDmnQoFu8DbRu3Zqio6Ppscceo+rVq5P6wD127FjasGEDffrpp/TCCy/cTP/iiy/SZ599Rh07dqT69evT4sWL9bLq3z/55JOby+3evZuKFSumn4Neo0YN+vXXX+/YoPta12KM4qIF27uT8cXBtTSwE+a+7pNO9/V4NFevXqUqVaroL/ouXLiABt3gNmODd/UFTEREBGXMmJE6dOhAhQoVomPHjtGSJUv0l76lSpUySMCbpYPt/cSJE1SxYkVS+7r6HKE+E2zfvl1/hggJCaH169fr7QAvPgImnDupqWbi63sH36xRyYkjX/04qelkWdiyiwAadLt8JEqzaNEiqlmzJqVPn/7mv1+6dImqVq2qP0AdPXqU0qRJo99M1Qfql19+mUaOHHlz2e7du9NHH31Ea9eupUqVKul/v3LlCh0/fpwKFixI169fp7Rp0ybboDupazFGcdGC7d3X8cWBtTiwr8yd7JNO9vWEaAYPHkwffPABPfXUU/r/4wy6uQ0n2N7j4uKoTp06+sya+jI4S5Ys5iaLyjcJBNu7+oK/W7du9Msvv9BDDz10M9eUKVNIfaB///33qUePHjDGSMCEc19rqmk4ee9gnLbnS/nqyIkfX2sq+E6W9bwsywCgQbdMiC9xevXqRSNGjKC9e/fqS9nVJWnvvPMO7dy5U38THv9Sl8UXL16c3njjDRo0aNBtpVNq0FNb15c5YBnnBALlPblkt47vfAZYwymBQDvfs2cPlS9fnj7++GNS//3222+jQXcqjWH5QHmP/ynDtGnT6MEHH6TLly9TaGgopUuXjmEWKOGUQKC8DxkyRP9Ubvny5fokQPxLXTWhrsBTP23o0qWL0/hYPhUEuJwnHDqp92p8nkuFHIOrBMo7Ps8ZlGi4NBp0w4BNlG/bti398MMPdPr0af279ObNm+uz5Or35Le+1O/KqlWrRtOnT3fcoKe2rok5oyZRoLwnx/rW8eHEPIFAO2/ZsqW+Mkf9REY152jQzTtOaoRAeX/ttdf0ZexRUVH6i1zlXV3irM6qqy+B69WrFxwAHh01UN5VY67uMVC3bl19T5qiRYvqS9x79uypf0qn/p4tWzaPWgjstLmcJ0yd1Hs1Ps8F1mtKowXKOz7PpWTC3r+jQbfXTZLJNm/erC9xV2c71OVo6qUuX1dnPNSN3259qd+uX7t2TV/edOsrpTPoqa0rDKmIuIH0nhSQpMYXAU5wyEA7V/ejUA36smXL9P0pBgwYgAY9CNtPIL0/8sgj9PPPP1Pu3LmpUaNG+kvAgwcP6puHXbx4UW8L8T+PCgIKTw0ZSO8K7BdffKG/lFG/R49/qXsRTJ06Vd8kEC/zBDidx6dN7r0an+fM+/R1hEB6x+c5X63YtxwadPucJJvozJkz+oyGuuOqOmN+991362VLlCih78Cqzn7c+lKXq6kzYurbcacNemrrCkIqImqgvd8KJbnxRcATGjLQztW9LdQTIu699159eat6oUEP/MYTaO/qaSDqLt7qjv2zZ8++OeEFCxboG8c9/vjjNGnSpMCD8NiIgfau8P7444/0+eef6yvw1FMa1Jf46moKdfO4GTNm6Kvz8DJHgNu5Snqn92p8njPn0knlQHvH5zknduxaFg26XT6STaM+QKs3UnXpmbpcXT0OJf6V2m9GcQbdfvnB8J6Qyp3Gt5+ezITBcP7mm2/qJ0Ns3bpVn01Fgx74bScY3tUNwtSVE+oxm+pxmwlf6rJnlUk9dg0vcwSC4V2dJX/iiSdo1apVia6QmDlzpv6c8e6775L6+QNeZgiYcJ7Se3VqPyeaIeDNqsHwjs9zcrc1NOgC3KlHoTz88MP6eejqjVVd3p7wldrfFqXUoKe2rgCkIiIGy3s8nJTGFwFRWMiUmKd2n7zTvq4uaVY3k1R3be7cufNNYh9++KF+CoQ6w6qaNbUMXmYIBMO7mknXrl31FRN//PEHtWjRItHk1O+TVQOnsuFlhkCwvKsv+NWTYDZt2nTbxNRvz9XVE+qLXNw6ywAABXJJREFUG7z4CZhwnlJNNYvUvnfwE/BmxZQcpcZPSjUTknayrDcN2TdrNOj2OUmUSH2wVo89UXfZnTBhAj355JO3JVa/I1OPRuK+i3tq61qOVES8YHpXgHwZXwRIQSF9YZ7affJODfqaNWv0jSTv9FKXu6qbR+HFTyBY3tVMxowZo7+U+fLLLxN9OaP+Fv8c7P379/NPGhV9Osaa2N8V+jJlymgDW7ZsSWRCPXYva9as1LBhwyRvLAtt/hEwsa/7UlOlTu225N+Msbavn6ec+vHVu6/jw5R9BNCg2+fkZqLY2Fj9LOKJEyfqG7o899xzSaZVv0dXH7CTew66+gBeuXLl29ZN6Qx6autajFREtGB793V8ETCFhPSVeWr3yTvt6+o3cbNmzbqNlPrt8eTJk/VZdNWsqRuK4cVLIJje1UyOHz9ORYoU0Zc5q+flhoWF6Qmqs6fq8vdOnTrR6NGjeSeNahRs7+pmkOpLf+U84Z361dNh1H0H1CO5Bg4cCFOMBEw497WmmkZq3zsYEXiylK+OnPjxtaYC7mRZTwqyeNJo0C2Wox558v777+vfmye89DQ+srqhk7o5nHrFX6rYsWNHatCggX7jHTt2LD3//PP6RjAJX+oZx+oRbWrH/fe//62b+1atWulF1KX0CZt5J3UtRikqWrC9OxlfFFiLwzph7mSfdLKv34oHN4kzv8HY4H3kyJH65w3qLu5t2rShAwcOkPp5g7pqQj0ZpHDhwuZBeGyEYHtXN5Rt0qQJpU+fnl588UV9o1l1kzh1IiBnzpy0evVqyp8/v8esmJ2uCedOajr9nGiWhneqO3Hk63u7k5pOlvWOFRkzRYNusSf1BhodHZ1swnnz5uk3WfVSZ8iGDh2qz3aoSxLVGS/V1KsbvaRJkyZRDfV70j179iRZVzX1HTp0uPk3J3UtRikqWrC9OxlfFFiLwzph7mSfdLKvo0EP/AZii/fx48fr556r3yRnypRJ381f/WwK9x0ws03Y4H3dunX6cXorVqzQj9ZTjbnyrs6cq6sq8OIlYMK5k5pOPyfyzt671Zw48vW93UlNJ8t615KdM0eDbqcXpAIBEAABEAABEAABEAABEAABEPAYATToHhOO6YIACIAACIAACIAACIAACIAACNhJAA26nV6QCgRAAARAAARAAARAAARAAARAwGME0KB7TDimCwIgAAIgAAIgAAIgAAIgAAIgYCcBNOh2ekEqEAABEAABEAABEAABEAABEAABjxFAg+4x4ZguCIAACIAACIAACIAACIAACICAnQTQoNvpBalAAARAAARAAARAAARAAARAAAQ8RgANuseEY7ogAAIgAAIgAAIgAAIgAAIgAAJ2EkCDbqcXpAIBEAABEAABEAABEAABEAABEPAYATToHhOO6YIACIAACIAACIAACIAACIAACNhJAA26nV6QCgRAAARAAARAAARAAARAAARAwGME0KB7TDimCwIgAAIgAAIgAAIgAAIgAAIgYCcBNOh2ekEqEAABEAABEAABEAABEAABEAABjxFAg+4x4ZguCIAACIAACIAACIAACIAACICAnQTQoNvpBalAAARAAARAAARAAARAAARAAAQ8RgANuseEY7ogAAIgAAIgAAIgAAIgAAIgAAJ2EkCDbqcXpAIBEAABEAABEAABEAABEAABEPAYATToHhOO6YIACIAACIAACIAACIAACIAACNhJAA26nV6QCgRAAARAAARAAARAAARAAARAwGME0KB7TDimCwIgAAIgAAIgAAIgAAIgAAIgYCcBNOh2ekEqEAABEAABEAABEAABEAABEAABjxFAg+4x4ZguCIAACIAACIAACIAACIAACICAnQT+D6Orm4Ar1rB2AAAAAElFTkSuQmCC\" width=\"800\">"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "-0.023636426280219808 53.793026647098955 -0.25461085807995526 0.37969747803477616 0.025915543556636632\n",
+      "-0.025554826737552744 57.835974480949524 -0.2501389319099706 0.38840866391082507 0.028554237657284483\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "def get_mm_dd(mm_dd,**kw):\n",
+    "    \"\"\"Get data for month_day for every year\n",
+    "        global used: DF with\n",
+    "    \"\"\"\n",
+    "    days=kw.get('days',3)# +5 days average\n",
+    "    year1 = kw.get('year1', 2010)\n",
+    "    year2 = kw.get('year2', 2023)\n",
+    "    delta=pd.Timedelta(str(days)+'d') \n",
+    "    L=[]\n",
+    "    for yr in range(year1,year2+1):\n",
+    "        ind=str(yr)+'-'+mm_dd\n",
+    "        t1=pd.to_datetime(ind)\n",
+    "        t2=pd.to_datetime(ind)+delta\n",
+    "        #L.append((yr,DF_nsidc.Total.loc[t1:t2].mean(),DF_smos_v33.Total.loc[t1:t2].mean() ))\n",
+    "        L.append((yr,DF_nsidc.Weddell.loc[t1:t2].mean(),DF_smos_v33.Weddell.loc[t1:t2].mean() ))\n",
+    "    return array(L).T\n",
+    "    \n",
+    "c='k'\n",
+    "mm_dd_L=['02-01','02-15','03-01','04-01','05-01','06-01','07-01','08-01','09-01','10-01']\n",
+    "mm_dd_L=['02-01','03-01','04-01','05-01','06-01','07-01','08-01','09-01','10-01']\n",
+    "mm_dd_L=['03-01','04-01','05-01']\n",
+    "mm_dd_L=['05-22']\n",
+    "mm_dd_L=['06-12']\n",
+    "mm_dd_L=['08-06']\n",
+    "\n",
+    "mm_dd_L.reverse()\n",
+    "figure(figsize=(8,6))\n",
+    "\n",
+    "for i,mm_dd in enumerate(mm_dd_L):\n",
+    "    xie,yie,yie2=get_mm_dd(mm_dd,days=1)\n",
+    "    slope1, intercept1, r_value, p_value, std_err = stats.linregress(xie,yie)\n",
+    "    plot(xie,xie*slope1+intercept1,c=c,ls='-.')\n",
+    "    print(slope1, intercept1, r_value, p_value, std_err)\n",
+    "    c=cm.tab10(i/len(mm_dd_L))\n",
+    "    plot(xie,yie,c=c,ls='-.',label='NSIDC Sea Ice Index')\n",
+    "    #plot(xie,yie2,c=c,ls='-',label=calendar.month_abbr[int(mm_dd[0:2])])\n",
+    "    \n",
+    "    #plot(xie,yie2,c=c,ls='-',label='SMOS')\n",
+    "    slope1, intercept1, r_value, p_value, std_err = stats.linregress(xie,yie2)\n",
+    "    plot(xie,xie*slope1+intercept1,c=c,ls='-')\n",
+    "    print(slope1, intercept1, r_value, p_value, std_err)\n",
+    "    \n",
+    "    plot(xie,yie2,c=c,ls='-',label='SMOS Extent')\n",
+    "title(mm_dd)\n",
+    "#legend()\n",
+    "ylabel('Extent [10⁶ km²]')\n",
+    "legend(fontsize=8,loc='upper right')\n",
+    "#ylim([0,21])\n",
+    "#ylim([8,13])\n",
+    "\n",
+    "grid()\n",
+    "#savefig('Exent_nsidc_smos_v33_timeseries.pdf')\n",
+    "tight_layout()\n",
+    "#savefig('Exent_nsidc_smos_v33_timeseries_20230522.png',dpi=150)\n",
+    "#savefig('Exent_nsidc_smos_v33_timeseries_20230612.png',dpi=150)\n",
+    "\n",
+    " "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "e897132a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Len smos file list (smos_fl): 3494\n",
+      "2010-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/03/SMOS_Icethickness_v3.3_south_20100301.nc\n",
+      "2010-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/05/SMOS_Icethickness_v3.3_south_20100501.nc\n",
+      "2010-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/06/SMOS_Icethickness_v3.3_south_20100601.nc\n",
+      "2010-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/07/SMOS_Icethickness_v3.3_south_20100701.nc\n",
+      "2010-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/08/SMOS_Icethickness_v3.3_south_20100801.nc\n",
+      "2010-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/09/SMOS_Icethickness_v3.3_south_20100901.nc\n",
+      "2010-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2010/10/SMOS_Icethickness_v3.3_south_20101001.nc\n",
+      "2011-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/02/SMOS_Icethickness_v3.3_south_20110201.nc\n",
+      "2011-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/03/SMOS_Icethickness_v3.3_south_20110301.nc\n",
+      "2011-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/04/SMOS_Icethickness_v3.3_south_20110401.nc\n",
+      "2011-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/05/SMOS_Icethickness_v3.3_south_20110501.nc\n",
+      "2011-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/06/SMOS_Icethickness_v3.3_south_20110601.nc\n",
+      "2011-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/07/SMOS_Icethickness_v3.3_south_20110701.nc\n",
+      "2011-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/08/SMOS_Icethickness_v3.3_south_20110801.nc\n",
+      "2011-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/09/SMOS_Icethickness_v3.3_south_20110901.nc\n",
+      "2011-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2011/10/SMOS_Icethickness_v3.3_south_20111001.nc\n",
+      "2012-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/02/SMOS_Icethickness_v3.3_south_20120201.nc\n",
+      "2012-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/03/SMOS_Icethickness_v3.3_south_20120301.nc\n",
+      "2012-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/04/SMOS_Icethickness_v3.3_south_20120401.nc\n",
+      "2012-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/05/SMOS_Icethickness_v3.3_south_20120501.nc\n",
+      "2012-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/06/SMOS_Icethickness_v3.3_south_20120601.nc\n",
+      "2012-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/07/SMOS_Icethickness_v3.3_south_20120701.nc\n",
+      "2012-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/08/SMOS_Icethickness_v3.3_south_20120801.nc\n",
+      "2012-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/09/SMOS_Icethickness_v3.3_south_20120901.nc\n",
+      "2012-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2012/10/SMOS_Icethickness_v3.3_south_20121001.nc\n",
+      "2013-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/02/SMOS_Icethickness_v3.3_south_20130201.nc\n",
+      "2013-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/03/SMOS_Icethickness_v3.3_south_20130301.nc\n",
+      "2013-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/04/SMOS_Icethickness_v3.3_south_20130401.nc\n",
+      "2013-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/05/SMOS_Icethickness_v3.3_south_20130501.nc\n",
+      "2013-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/06/SMOS_Icethickness_v3.3_south_20130601.nc\n",
+      "2013-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/07/SMOS_Icethickness_v3.3_south_20130701.nc\n",
+      "2013-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/08/SMOS_Icethickness_v3.3_south_20130801.nc\n",
+      "2013-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/09/SMOS_Icethickness_v3.3_south_20130901.nc\n",
+      "2013-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2013/10/SMOS_Icethickness_v3.3_south_20131001.nc\n",
+      "2014-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/02/SMOS_Icethickness_v3.3_south_20140201.nc\n",
+      "2014-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/03/SMOS_Icethickness_v3.3_south_20140301.nc\n",
+      "2014-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/04/SMOS_Icethickness_v3.3_south_20140401.nc\n",
+      "2014-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/05/SMOS_Icethickness_v3.3_south_20140501.nc\n",
+      "2014-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/06/SMOS_Icethickness_v3.3_south_20140601.nc\n",
+      "2014-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/07/SMOS_Icethickness_v3.3_south_20140701.nc\n",
+      "2014-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/08/SMOS_Icethickness_v3.3_south_20140801.nc\n",
+      "2014-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/09/SMOS_Icethickness_v3.3_south_20140901.nc\n",
+      "2014-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2014/10/SMOS_Icethickness_v3.3_south_20141001.nc\n",
+      "2015-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/02/SMOS_Icethickness_v3.3_south_20150201.nc\n",
+      "2015-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/03/SMOS_Icethickness_v3.3_south_20150301.nc\n",
+      "2015-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/04/SMOS_Icethickness_v3.3_south_20150401.nc\n",
+      "2015-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/05/SMOS_Icethickness_v3.3_south_20150501.nc\n",
+      "2015-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/06/SMOS_Icethickness_v3.3_south_20150601.nc\n",
+      "2015-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/07/SMOS_Icethickness_v3.3_south_20150701.nc\n",
+      "2015-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/08/SMOS_Icethickness_v3.3_south_20150801.nc\n",
+      "2015-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/09/SMOS_Icethickness_v3.3_south_20150901.nc\n",
+      "2015-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2015/10/SMOS_Icethickness_v3.3_south_20151001.nc\n",
+      "2016-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/02/SMOS_Icethickness_v3.3_south_20160201.nc\n",
+      "2016-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/03/SMOS_Icethickness_v3.3_south_20160301.nc\n",
+      "2016-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/04/SMOS_Icethickness_v3.3_south_20160401.nc\n",
+      "2016-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/05/SMOS_Icethickness_v3.3_south_20160501.nc\n",
+      "2016-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/06/SMOS_Icethickness_v3.3_south_20160601.nc\n",
+      "2016-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/07/SMOS_Icethickness_v3.3_south_20160701.nc\n",
+      "2016-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/08/SMOS_Icethickness_v3.3_south_20160801.nc\n",
+      "2016-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/09/SMOS_Icethickness_v3.3_south_20160901.nc\n",
+      "2016-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2016/10/SMOS_Icethickness_v3.3_south_20161001.nc\n",
+      "2017-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/02/SMOS_Icethickness_v3.3_south_20170201.nc\n",
+      "2017-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/03/SMOS_Icethickness_v3.3_south_20170301.nc\n",
+      "2017-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/04/SMOS_Icethickness_v3.3_south_20170401.nc\n",
+      "2017-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/05/SMOS_Icethickness_v3.3_south_20170501.nc\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2017-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/06/SMOS_Icethickness_v3.3_south_20170601.nc\n",
+      "2017-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/07/SMOS_Icethickness_v3.3_south_20170701.nc\n",
+      "2017-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/08/SMOS_Icethickness_v3.3_south_20170801.nc\n",
+      "2017-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/09/SMOS_Icethickness_v3.3_south_20170901.nc\n",
+      "2017-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2017/10/SMOS_Icethickness_v3.3_south_20171001.nc\n",
+      "2018-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/02/SMOS_Icethickness_v3.3_south_20180201.nc\n",
+      "2018-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/03/SMOS_Icethickness_v3.3_south_20180301.nc\n",
+      "2018-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/04/SMOS_Icethickness_v3.3_south_20180401.nc\n",
+      "2018-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/05/SMOS_Icethickness_v3.3_south_20180501.nc\n",
+      "2018-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/06/SMOS_Icethickness_v3.3_south_20180601.nc\n",
+      "2018-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/07/SMOS_Icethickness_v3.3_south_20180701.nc\n",
+      "2018-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/08/SMOS_Icethickness_v3.3_south_20180801.nc\n",
+      "2018-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/09/SMOS_Icethickness_v3.3_south_20180901.nc\n",
+      "2018-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2018/10/SMOS_Icethickness_v3.3_south_20181001.nc\n",
+      "2019-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/02/SMOS_Icethickness_v3.3_south_20190201.nc\n",
+      "2019-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/03/SMOS_Icethickness_v3.3_south_20190301.nc\n",
+      "2019-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/04/SMOS_Icethickness_v3.3_south_20190401.nc\n",
+      "2019-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/05/SMOS_Icethickness_v3.3_south_20190501.nc\n",
+      "2019-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/06/SMOS_Icethickness_v3.3_south_20190601.nc\n",
+      "2019-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/07/SMOS_Icethickness_v3.3_south_20190701.nc\n",
+      "2019-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/08/SMOS_Icethickness_v3.3_south_20190801.nc\n",
+      "2019-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/09/SMOS_Icethickness_v3.3_south_20190901.nc\n",
+      "2019-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2019/10/SMOS_Icethickness_v3.3_south_20191001.nc\n",
+      "2020-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/02/SMOS_Icethickness_v3.3_south_20200201.nc\n",
+      "2020-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/03/SMOS_Icethickness_v3.3_south_20200301.nc\n",
+      "2020-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/04/SMOS_Icethickness_v3.3_south_20200401.nc\n",
+      "2020-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/05/SMOS_Icethickness_v3.3_south_20200501.nc\n",
+      "2020-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/06/SMOS_Icethickness_v3.3_south_20200601.nc\n",
+      "2020-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/07/SMOS_Icethickness_v3.3_south_20200701.nc\n",
+      "2020-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/08/SMOS_Icethickness_v3.3_south_20200801.nc\n",
+      "2020-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/09/SMOS_Icethickness_v3.3_south_20200901.nc\n",
+      "2020-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2020/10/SMOS_Icethickness_v3.3_south_20201001.nc\n",
+      "2021-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/02/SMOS_Icethickness_v3.3_south_20210201.nc\n",
+      "2021-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/03/SMOS_Icethickness_v3.3_south_20210301.nc\n",
+      "2021-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/04/SMOS_Icethickness_v3.3_south_20210401.nc\n",
+      "2021-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/05/SMOS_Icethickness_v3.3_south_20210501.nc\n",
+      "2021-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/06/SMOS_Icethickness_v3.3_south_20210601.nc\n",
+      "2021-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/07/SMOS_Icethickness_v3.3_south_20210701.nc\n",
+      "2021-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/08/SMOS_Icethickness_v3.3_south_20210801.nc\n",
+      "2021-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/09/SMOS_Icethickness_v3.3_south_20210901.nc\n",
+      "2021-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2021/10/SMOS_Icethickness_v3.3_south_20211001.nc\n",
+      "2022-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/02/SMOS_Icethickness_v3.3_south_20220201.nc\n",
+      "2022-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/03/SMOS_Icethickness_v3.3_south_20220301.nc\n",
+      "2022-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/04/SMOS_Icethickness_v3.3_south_20220401.nc\n",
+      "2022-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/05/SMOS_Icethickness_v3.3_south_20220501.nc\n",
+      "2022-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/06/SMOS_Icethickness_v3.3_south_20220601.nc\n",
+      "2022-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/07/SMOS_Icethickness_v3.3_south_20220701.nc\n",
+      "2022-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/08/SMOS_Icethickness_v3.3_south_20220801.nc\n",
+      "2022-09-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/09/SMOS_Icethickness_v3.3_south_20220901.nc\n",
+      "2022-10-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2022/10/SMOS_Icethickness_v3.3_south_20221001.nc\n",
+      "2023-02-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/02/SMOS_Icethickness_v3.3_south_20230201.nc\n",
+      "2023-03-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/03/SMOS_Icethickness_v3.3_south_20230301.nc\n",
+      "2023-04-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/04/SMOS_Icethickness_v3.3_south_20230401.nc\n",
+      "2023-05-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/05/SMOS_Icethickness_v3.3_south_20230501.nc\n",
+      "2023-06-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/06/SMOS_Icethickness_v3.3_south_20230601.nc\n",
+      "2023-07-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/07/SMOS_Icethickness_v3.3_south_20230701.nc\n",
+      "2023-08-01 /isibhv/projects/siral/product/smos/SMOS_v724_L3C_Sea_v3.3/south//2023/08/SMOS_Icethickness_v3.3_south_20230801.nc\n"
+     ]
+    }
+   ],
+   "source": [
+    "DF_smos_v33_03,DF_nan_v33_03=calc_smos_extent(smos_fl_v33,thresh=0.3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4cb7dea8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "cartopy",
+   "language": "python",
+   "name": "cartopy"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
-- 
GitLab