06-perspective-transform.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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//Qnf2rx8KOj7vh6mzBeujSmd+BAJrZMlYdTZQC+0Y7wTfj8rbiA+2qGrnutDMBxACsDMMqlDMAMFmUAbq8RywBcx2qTUXUrxtatPLN9y90aw1gGYBmAe5GxN/PevU0L38yS/PmknUUg2fIlW7/kEz/JU+37M+27zSKQwQD8977lvQPNzgwoMywYwMxWYCEy+4FRCDPIh9kX7BPG1OSyFWOX2VBmcfmYzeFeu4vXXGBtdsVsKefN4iStY8eOrdwBjbXBbZeBfI4FgZHMc8zqzN4lTTMtpLeJAfTskXKmrmYiwQulnlmuMerxy/2514NAn56vj+710b1pViwz6bC6+cwxgK5rbwCSXspJWZn5+lyOKZuZPLt6zdCCUcoF80a5kQ0zcsYs1zcxgGkn7g2eYGp5dTvQbpE75DH5YgCmTmYDJqGfOUj9qJcZTGQn5Xr7298+PPnud797cXTpAk6bUFfcO7RJzwC6frlnLgwh+eyV+etl80b17K/dTgag63YzNrDH+Gb334oxdyvP7KXtbiX9t8IATJ84dWpkxTK+zLGBOQ/bhw5/4YUXFn/6p2NYe1izsIf5pF+i85P2hYujlyn9C51oDwx93v0xfQ99Eb1C30S3Ztzkesa4IwdXYUjIyoXG4sFg5h76/enXRw9NxqPPfvbzw3Gcu+tBN2PLxlHx4IMPDnrphRcHF3cxgHsR+tvoXraB+c9anWIIZhuYH27f97fvC1vUczAAP/iBJ9fi9GL0IaR2OUXgOW8jzAYgg51j2nIvHdQGHsrHRolpdHfanLeRaFdn6pmB0AaKXYwMkulsdt3R4cg/z/CcXa9Jl3jGPE+5bdx4oHZ+czF3cwZdygKOvbvV9/dGWHCwoWQjjLZInSiT3d0ewOzGtCHk+/u8e/co6eUZjlMGMLXbnfJEefo8Sji/rldvhCVNG5Rcj9zZAEdO7Nq3EU0eScvp2bDqjW4bvu5jUegMVClDL2t5Lgo+n4RB3HFsjAW65557prilXKdMuZ/Bhd8MaJQndXJcqfsRbW/jegt9cEsxZy3qcpukp3tuxeh4q1zAKeTNDDkqMtd/DESfzq3U+1ae2Utj3Er6b4UBmL6DDGfssP6lr8fdS3/73d/93aHakXcMxxyH2Mgn/Yfzee5Ki5nNxwag9Z51nfW5J3P0N65nbEQmUua7lzGAnnxeaq5b0o6+wUBdLGPdk9b/82+znW8LGXnno4uvPJ0FvoumH+6e8Dhz5txgBCYEdVmNMgD3IvS32b3ZAoaNoD/Tjv+b9g0zuM2nDMA24JYBuBr0HHcWBVoG4BgakA+/ZQCuq5YyALczGm/F2LqVZ7ZR/NxzK+mXATi2dxmAe5G0N+feXXcBv1FUBwPwL3/HB4fVk7AMZlHMrGXggwF86KGHJqaCc+kQdIqkRXphtnD7xqggCJaZkBdL5BmUUhgOaHsH92fm5AUAzPCm1ZiNgYJ9CUPCrM2sJcCFcfG9nE8eLgeuhhhEnMcg6F2vzAhzn93WvbJN/TmXdGEAzUQmD7M4pM1vZrhO14tKvHjB+aSOvfuW62ZJXS+7Fcnb5bQL2Isa0obIAdimvc3Y0ZZ22SYNu+Dtkkk6ybtfXJLzyW9ulm7jbW7xjpmA5Et+qXfP+LpPJE/LCUx3nkfOwWOa7bdnwmgcPTQyZ2EDWbkYNpBFUmYD58IfUo65upo5hNXcVlHckkFwmzGAPVabmLxNbvZNDOKtYHsrz2zb1pbdvTzzVhiA9OX8msmzLnzmmWcWn//86C793Oc+N/wmxAK234xcxivGqbCGB5c7UVjfzS3schunP9Kn0x+t55K3x820253HxxXDeQbdfm3fyoMUHUAaZ8+NIToJvTr9+rhIJB9cwGH8vADz7Nnz3vivGMC9CHDdOyEwGIAf/tC3DUvuvZrJAyYdKr8IbGIQGHxYtWQDkGeSUwZFBnkPrl656bgyx++RTjoqadjFyHM22Gw82IhMWUjD8SCg4U6Nqy7XYsCAjVeLbjIA7a60EWaXZtLN8+A5rBpbbr/i1cq5z4ZQbwCmnM7vZscYKEmnTyt5RXE5Px8zGPGcXZBWlLnu2MHe4E8b2ABkcuCV3FbMNmIsi3avU87k7VXkPGv58rEnDdP2MMstZ8Cjr7cNQMf6RXnff//9gzglLVxOyPMQF7TcqmhwES9XCSZ9ypHrGINZJeiJU9KNOwkDMW3pxSpgkLboV7tvq/NuxeC4sscVunt1Sw99YC4Y6gaV2nM9tA0MyW4y5LheMYDbSdWe22KpG5Hn6F/6xIsvvjjpzM985jOT4ffEE08MhYlRyIr/rLpHzzv0KGm9cnLc5SJt2DP8vVFovT2nOxyy4VATXMApA67oU6+fXYs5xzBkFfCftPi/e+/J5hyLxclXTy+OHMOIHHfayOf48aPDBDjlvjiuDC4DcDtRrLs6BMoA1LYoZQCWAZj+4Zm9GUAbzBifZQC2+NsyAAe1ejOD8VYMoVt5Zi+j3K2k/1YwgPbWlAEYFrEMwDm5LhfwXnr79fcOBuCHPvitAxtkdyu3ZqBjVhMDiX3+ojiYaTlYF3dfnnvggQeGZHKOWVYYDtg1BtQwJQ7c9+IFB8zCXmXQpaywS9lQ0wP0tOqqzb68ByEzMbs8qV/SMhNDmcK68JwZQBsBcyvIzEaZ7bOrAUYo6RPQbGYt5fTKXi/yCLZh0yhnfntXb+4JnmCaAOh8vIBjE6MVLMhvrt49A0jewdE4IxO0j2fjuYZr1KthjVfanXYhjbTpJtc+95g1tlzejAH0Qh+zVbQ3s+/gaLYgZbZ7mT5klg4GOvjgArbbOmlYJvo0IuePPJIX+CwGttFybpne5J68mbq4FYNgFwzAOVxuxgBuch3frA18/Vba481O/60wANO347bNJ+MM7ttPfOIT0/gRfQlD7r1o6YO5FsYwn7iGmdgN92rRRe8Jcexz+ivPZZziOL/oBv+u6YjLo9GWe2Htn3v+xal/516e/eKX/mxqNtr88uWmT5ZnjzUmkPPsBDAw/ZcHarwYwL0Ifd07ITAZgHHjMlAlDglBT+fjfAw3OlziF+iUHnjslkO44xqDws9gjwFEp82vB04MGg+uGC35TR6UjwE1m+0Sp8cWNrk3xgP55Tm7jHO9N2LcgUHJBksoe+rCLvPBBGMk93I+9zpejgGDMuc5DLKU89lnx7f52CVowyvne3dF8iPv5OUBw3Fs3u4EpUS7xsB1PCb1pn3y3y72ubjM3ON2cx/zirqc98CZNp7e4NJc4DZ2qYtZOGQqBp3L4dXD5G1ZtOFsWSMPb3/j4zw3N5DPxRQmXeQyz9jQTJksz4Nhv3z7R79qmvIbc9KiLfJLm3LMIJOBkzcM4IYOxkyg8pz7HumkfzMJ8Sps6ppygnPa2jGO1NvbZnhxlbdRQk4i+2Cb5zj2hATZ2D++8WDrz14Np33795Y+/XTrAi379V7uf6vy2GuZegNwW+Yz7eqwGfK1vqN/Rx6YRD7//POLP/zDvPJ+schxxqd8PGmmDNbx9Dl+Xc7Wq4c0el3UnzNh4RcWzI1BSd/96tjh1VujJjdy2wiaj1cmnzk7xv2NRMz41qZ8Di03ns7xuWWcYNakHT487rRQLuC9Sm/dbwTKAOz2FywDcPWqozIAxwGiDMDVlhllAK7U556NzFt4rdtbkcdeh8QyAOdJiDIA9ypJb/z+cgG/MQwHA/ADTzw+rErE+AnDNccAevPLsH8YCHOsk2M4cgz7ENaLtGEFPLNKdcxsUD3P1LyZNLPEzBhhL1Iu0vCCA+9Jx4wsbIRdueRnNi3lxU2ZWRt5wsrkfzYdpeyklzLYfU6ZeD5YeDVzNjHNp2e8HIRM2napO/DY93q27QUmw8xSmxYHN+qS8piVIb25hRh5xi7S3pViLHM8xw6nXMhDf2wGsHe3JD3cuqn/XKC2XbXgHEzMSBoj7wPoet3I/WdWw8ai29CsrRnHw8t3b5sBTF3MuDnAHNkwFmY27a7v+1CwsCxyb/olYR1xKb/nPe8Zms0ricE5Zbe8eg9CB+wjB4R6mMXOOe9RyAKysND0Mb/6iz597OC4Z+K2nz0bTsUAbgvtwgbgzdg/J2oG3CEoDvGAsY5H57Of/ezweH7x6kRu3WetO3Kv5Twy7P5mHbFv+T7jpMV59xmHkXihHrKbPoH8k0f0h8uz7+q42bT1QlYB85xfuHC6LQ7Jp71yffrEuLm23GLTbmkv9jrTVgO3T7mAt5beutEIlAFYBuBgOJcBuHqLig0WjK5ebcwZXmUAjkZ5GYDzg8xejdJNsnejIexW8tjrkFgG4CjnZQDuVXK+8fcXA/jGMB0MwHe/45Ehng/l4Ti9zMyZ9WT274D2njnL83NxZ8QNpqgOqiXd5EFn8hYuazEbmqmFiSRNmMXE3ZGe4zMymM/F4cFeepaYGZxnV+SfMhGr59f9AH1YDWauxiD5mp0jnom0vP9h6s8s1zPlPgawb+5cB7tco/z9Ag5mpjAqZkZzztuG9KxT0s3zjtEaZqutfv7Q9vk163WjWDivuO0ZQM/YXS/KAzNFu+f8EBjdWLR8zKYhJ6mDjTcrcW8Ds8YWdK47s4iuq9si+fjVfilPykneyevI4TEeyBg4/s2LUcDZC31SRsc+Ue/INsfEBeY5b0lktpCtKPILk20ZBLt4BrL9Uz459p6fZpgpEwxg6s2CsZSBdktgPuUbY5/GoPn0seuMyDd5G5hdjQG8FYNxry5g2jKeHuu+l19+eWjvyARxffSFMMOf/nRebrVYfOELX5j20ct9yHZkuN8mKbKGHPV9xToEBjD9196i5BdMvLCOvpLzc+y7rzvW+vKFkdUjzfxm03T0ZOSccWMVA3i11Wl8e0nyO72MDbzcFnscPTqy4CkDuuTyGBtbDOCEdB3sBYHBAHzo/ntbp1q9QzWKG8Vg92wUvvfD6/dN84DkAcR71TnAnrTSCcgv7lE6uA0yD7RJ2y66VNgslml9KzgHsdulQKf1XnzutHbReVDHmMo5u4VZjGJDwYsdGBhzjrqmQ/O6I5fTbgVjSv3zHAo2dbUx4UGetsJYyn8UUdrB8X6knedJ28bIJvbLrkvf0xuALueNDEDarjeIaRvvF4nQ2wC0gTrnQrZRlOe8kASZsNKfM2o5l/xTF7tLkQny3vSaOhv5aZM5V7nb24NKP0nKNbvJuJ5z1MmTomDokAXLdx9uwOAD/pMb+cjhxfve976hWDHqKCuLxPKLzGeBCoNezvsd1RiaNgBZcHVpdHVt/dmrYVMG4NbQrrmA/dQmdzD9KvrSOzmgP9NPkDt052/91m8Ne17mE/2E7EaO5kI1PAHxojgbZy7focNjrLPDWPy6UnRH9LNJjTk94v5qnYUL2GPJvrYIxBNpynrx0uWhPMnPbxh5bfmOYG9qjV4efseJURmA24tv3SkEygDUwFgG4CgZZQCumOAyAOdXSppJPVoG4FaDyl6NUhsOW2XQbtprHnu9P+XYtA1MGYAr/AcyZBkDWAbgttK79/vKBbx3zPzEYAA+eN89bZazvkSfWQ17DuUhLxzILIVZGyyOmblN7luzacwAM7shLQeAmx3q98brV+v6FXJ5zttxmJkiH1xSZgttADqey+5Ps5nM3lJXXFmZrcIu2r0Q7LxX4KBIG9vjPQ+9rYbfeuJZp1mcpGG3ovH3dgh5Zo6tZZbrLVXMtJI+RqHdopQfV4nxsmvbwd6eSTtY2q6ZNTfN0vVq1tguei9qsCvUrk6fRxHPsZO5Zmy9HY2Dw3Of3bT9IO39yGC9SCvlpcx5ztuyOA8zpnYp5RkvcErd3A/M5PHcXPhDrzKQtZTHr+2bC473s1x/4G33T+x12D3cee9///uH27MljdlAu/sctkHfTD28L+ggaxdGt/62n70aNsUAbovsaABuMvbmUkEGrfvNCme/2K9+9avDo5/85CeH3+hQ3MWRT7N6yIm9GMhi8uo9DkmvD9s4dvzEkI/dxPTHpIuOMLsXdzM6OmNXvwjSW8YMIR4HV1vNTACzfgoAACAASURBVOk1F7D1+cTQL7elSf9xmFXbCnD4JF/Gy5SJMr52amBJiwHcXnzrTiEwMYD796/HRjl2jcHEe4P1rsmkabbE8W/pKAwyNiIdu0UsR9wBdJZ0FDqZXbxJg47DQJGO4/31/Co3Kw8635yREAVl9os8ch53Xp6jTCgob3Qdt4UH3znsPGh75Sz5Gduc4x4bq3ODsw1A45/zft/uMKBqkLVxnfpZgTpGrs8zaTgeh+u9Ar2RC9hxf/0E4mYuYCtKG3Vzq6Ltvp1zbSavNRdRk7F85mJSbQBa5u1Szj0OLUhaqd/k8mmuVxuAnkQ5/qhPI2ECtCW/DGQ2Li1LuZ7y2F1t9zgDavoM9/R16dNIecn/6pXLU/+wCx4941jM9CMG0e/8zu9cZLVnPum/lCm6AFmaYlP3+LaRMgC3G+f2itOgO5YraNH5fU59mpZLZC3xppz/4he/uPjjP/7jIZnnnntu+LX+jix4AmudSnp+3aTlnLI5nCX9f/+Bg8OlyBzlnXtdKf02vw5N8OSefpwyO41Dy5XlngRfbLF8Lh9yzsbUKYtfCLB/+c7ijDkQC9EhZQCOLVsM4Hb9fNNdZQBqq4AyAMcZcRmAI9udTxmAq8U+NiLLAHxr3K17NdDe7PvLABwXvpUB+MYMj2/U02UAvjEkBwPw/vby6SONZves2+ycXWM+NlvGTMlpMCtLWmY7vOI3z8V96hkfDI0ZwDBrGCbeqw42LrNJBu2wDDB2mW15tSizL+rRr6B1nTjOYMdMM2VghgYD6EUsfaCzZ3tmtGg28k+6dqnDCJll82yVshkLLybwfli5126T5J02MVNGeTxb7RdJUCaXbW7ltd3BSbefkQcHM15214ORB7KUv3d9J925Va2utxc+zNWvL4dZRLMMyBVpeKGG3dN2nwZb5BXZj0yCV5i8uTegBAsvDAIb0shzdgsbxzmWk7SCoUMqKGv6D7KUPGDiXX63BcepC/e+8PzX1lZj9kxx9AAB/cGQfpM0WPiUfgMbmL0IWZkM5kf2j4zNtp89G0I7ug/gxEBtC2yMHzGAeexm7mB0exg0QgHSvowPv/M7v7N46qmnhhK8973vHX6zJyr9O2Ukjcgocpz+Qx9iYdGmRVSu3hAec3X0rQ5sYEs/H34dmmOvSxaoMK4kVMkrmsHBruOrl8aFSw7HCQM456KGAQwujGnRFReXqzzSH8EufYXQn3oV3B4Et269DoHBALzz2OFBsBno0vHmDMB+UCY1hN6uywgxhlKue3UhHZu4uSh+qPMoBQTdW5WYfk9HZWBjYCGuKGXyKtrk7Tg7yowSSVlsFM7VMfWi0yYfBi3qkS0L2B7D+0MFU29JgILxwE8aqc+cC3iTATi3StUMpo03G4CUwe/STb6OrfPqWo6DEZghJymbt9MxpjYCeqOuN+i4t3fDOhSgNwAd69O7Nm3U2+hJ26c+Hlgca0kb923BPdTDcZI2AL1aMbhgZDF4ZdBAbjOYWA5cDu5JGpSfNNyuOfZEwG1oFy+Dk8MmKFvSIO0MaEy+7LblOWMeGeC5Fjwy9V+XzyszvbKf9NIWlMPu/7QnxuC3fuu3Dl22NoLebvTaq+H7Rg3Amxl/GED5jQz8wR/8wVCRL33pS9O74vOfLWGQqci+YwDdp7knfQY592sh50JmPDlOfrwKzoYfdYlMMgYlLTDKeMWkJ789ieB4wvTb82dODXU1RnlvNn3M8YWUx6Ej6R9nzo9bI9kQzZgX/ZFztQ3Mdv2i7ppHoAzAMgAHBVUG4MFpMCkDcH0PxTIA55XnXo2tvd7fGw/bDGJ7zaMMwBXzVwbgNhL2F+uecgG/sfYYDMA7jo6vsPFKRM9OzL54paHdT8z0mKmZafHikcxamMGxx5fzzcyKFbq9O9KLJ+w6Td7Jw267TWxI77Z2zJsZqNzn4F4HMpM3LgwzMczW8usFLbnH2FFmzgUvuza8kMSrZ1FSsF5uN7OPZlyDo1ei9jNKM4e5l3plVu1FAYjazbD1IGR3sFlBy5QZwr59GAR7t2KeMXvqWT/lTN52ySCjXDcTmXNziy8c6+aVwaThBSGpE+VIW8CemsVziATXw2R4QYdd873bPWXgulk6y4EHde5N2WzIuX/bBYbcpGxmVfq2d5mTrle4G0faz3LLcVgWMEj5SCNt1i/UOXvm9cUP/dAPDcVwfsEbfZE9CLMhfD703X7BjmWT40EWL+9tlfGtGGdX9i3f6yWd3Rts/X8vXrAeTR/l3uiZiW09N24+HLb52WefHY6jZ7k3CwmyF2M+8Vx4g3S7HtFfeFa+/OUvD3s85nNRWPkVfnh83Ja//Mu/vLZnq+VgzV3avAn5mM03Q25953Ahe1jcr+fkbi5EIpj2IR4eE5IO/SM4E5qQ/gZLSB8LlriIg8GFtjgqH3sDrrSNmz3ewYCfW+5z6TEo9Tx3bmQA7U363Oc+N40tJ0/XKmB1pzrcIwKTAWiKPEJIZ8kxg5AFN8e9AZhnHL/EQJB7/Q5ROkm2h6DTo8TzPB3OyttuN8dUMOBGWVAex8XZiHRnRhE51skYpAwohqTNQJXz5OkYRw8mHNuFbReGV3HamATfXOe4jzfrDSS7ZlNGx0lybOOSstkAsJEzKPiWDr82Auwqp93sarRbuo/7QyHn125TG2FWfpbjnO8NQONi16TlxOnZ7TLnWk5+Nly43+EEyIPlxEam+40NKMrud56mzGBr/JPGnIuIdsug4HK6Lnalc57+6D6Rsrl+ljVkM8/NGYCepLhP2wD0qnu3OzLD9U0bY/f6J89lr0GHXnzv937vICKPPPLItDoygzOxYAzUc4Yu5bCMHmxOwb1+emPtZs/bAJx7dtM52jvldagAdYsRgS664+i4wXHayfqXskXuMPocmvP8889P8XfgHL0Xwy+fvC8aw+ulV15evOMd7xjOJ2/eYf77v//7w7kYlrju46pkc+eUCfnpJ4mUz/rJE3pPvubGGF/3BMhGn9uH+70Jvg3qKbyh648YucERGQNPG44p+9W2s0Y+7uuxc73ADAPw1Gunh3tTdjAKGZI3gORjAzBvRsk9qdup8U0htQ3MzTpfXZ9FoAxABeuXATjKSBmAK7a2DMD1V/6VAbjSo2UAlgEYaSgD8M/PuioX8BvDfjIAHYRtxWamL8em4ntmcBMDmPO4e81EMMvKdRjAzMhIt2dXXK5+JdWcqy7QmOFjhpVf8jBrZneA2aNg44UDHNsFwKzT7lTvh5fymhlMGezOc72TBvf2i1R6BtCrn5MH7ZPZuwOkec4LfcwC4W7JfZ5hwyw4bTPBZjY5nzTMrphNpg3sdjQrMBeTNMcAepESs+z89uUhbcsL9bbM92mY8Z1zw7qutJXbOMdeIY3Mua7Ij/uY3XxeAESbeKGG2deeUQFzytC/3pHrOQ/muXduIRiYJg/kJIOeGVH3Wcrq51BTqZP7jeXVjCL3U7bsNci9zzzzzLTo6mMf+9iw0XQ+dmlaPsCmZ5jNtB5esjV7Uad7NQDn3qDRp9H/Txn9mklvNG5dzIK61189OVQhssG5PENd02awTmlDGNPHHntskf348on7OJ+UBaYv+/OB6b0PPLj4yle+Mtzzm7/5m1Ma6PPIAnLyxS9+pW0Mfsdwb9rXu0GAdfLp+9jRwysdmOf8WkUv6gMvWEZ7F5L+nCcrefXjB+Xjl+txccP6RReCV2Qc9zgu9dSfsg1682ALLWgf69Txnb5Hh/O5n77w8kuvTPd6P9t9+8Y0vEl7sCf84+zFIXShGECE6Tb6/bFWlx9s32ynH543/PqPtu/nVMdI0k+2799u33D//6p9/377vrAlDmUAym1aBuC6sooyKwNw5ZJhkHK8aZR7GYCrcBBPAssAXNfCZQCWAVgG4JaWyZa33c4M4G80DH6pff+wfbMJ1j9q33+/fT/QvmeW+Pxs+/2b7fvx9n2tfX+mfRM08D1b4jetAu4ZLzNaZvqYGTnQ14sC5uIzknZidfLJ4MksyjEqDKJJixmqWaSerenjpBwfkzQcJ0XaZufMepiF8OIJB6J7xsgs3Pu+OQbFcYlzcXFmJBynZwbEMVxePDIxIsugab9lJfdx3YHSaROXI+3QL0rxIgTq561izDaZpeN8ykseZoo3xQIaA9d7jlVxnCB5e8uVPEM5vFgnbULaXHe8oJnFHIOzY3Z8z6Y+wfl+MZD7QjA305GyMfvPNbCL/FHmYIcBjqyxDQX9ew4vY87zYVC4F0YjaSSOifO5l7zn2MfUE/Yiv2ZB53SA4++8gIu6BGewS77omZSrj/k80Bg65DLMy9e//vUBgtxHPGBeKca2UHNsdB+vSr1TtkO3MJJ8IxhA5KLX16SdSRg6yfHRwYB2jvcEWbvnjvEVZ6mrMefePo6bOLYsDnEcZ9JILCDliPz8wi/8wpD2K6dOT6xrZJjtWvhNG1hHIG/et89egpTJ+/wlj5TX8jDH2OUex0H2WDpWPPmBY2SN8kWOvcdr0giebEsTXOa2TEpfv7B8PeF97VWq+WT/SvpHxrhr+8b4PcdjXrx4ecovdQabF18Y5Zn785tyHTgwbkiftkH+E3N5ui3+SNTquC11MYATeLfxwQOtbi+2719p399ZNnqk5u+2779c1jts4Wfb97va919vgcVgAN594ujaXkWm0SO8c8rU91j52/DiOIIOXR6FBl1P+Rwcb+PN5fdAnI7vAb3vOPmPQrRhmE7UK21v+ZFyOEDawdd2pzJwcz0Kxe8xtYuF9IKjY+tSRi9YcDmjnKy85wxYlwfFbRekB/ycZ2Cfc425jZOvNwkGx724gI3xJgPQbWv3sw1D7vlGG4BmpuZk2wNHytDXweVxP7ABmHqQjxdFMKilPbzIwgOSA9CRNb8n2u5zjj2BS5l7Yy9ySD383mxca3km520EeHKS6zYAPWFIXnNhAeSXX2OBfNkgHge70d2V+6nX5JK+dHEKus91Vrjef//9k2zH8Pi+7/u+IQ2MERsRXiVvt/tQt/Yu9L1+btUA7J+7UTppgzndYsw9Ob58flgUMNQfPZvwG7CNcQM2MXLQM8GR9gL74PkbvxEeYv01aMfuumeSk6y6po1wHcc4P3ny1eG5vM47aefT6xm7pb2/Xu491haz2PVNXdKGDuvAgCLvpImsRXc5dMeb4ROSlHtIIyEE+eT37HJVbhO1JoujZBw+fGgax4LViy+OK86XezUvHn3kgcllnj586cq4mM4u4PPnL05tkT5E/37l5TFvj0ejEXx4SgO8ogtefuXkYACOJmYZgCMMt/fnfa16X2jfv9S+/1/7/rX2/c32vbd9x942fvJW7Z9q3382A0fcxOMysfFzZ/s+UwbgOP0vA3A0SssAXO3WH7koA3A1kDGhKQNw76+CwwVcBuCoZ8oALANwxkbZ06lbIO73lP5flJszB/m19g3XPO5/MDJ/P9cZdDn/6fb97fZNvGD/+Yl24sf7k/feObqHUEy9e9cKi9mXZ52+bjcax36tkyl1v0qHWViMD867nC6fZ3mwFGZlHIeU8s4FEJN2nqdOfpm3Wcbc660r/OLxXMvM0ivBuG6DMpjC+PTPU5Y5NsqukH57G8pF+b1gxEH/Oc8sHePOi2bMkuRes37eEZ9y3swFvKnTbGI67AJ22tw/xwD2M2XkwItAesYh5cr1/p6cNwbBnLztZsIQ7PvKXL1yjvvN/NLGqXO/WCLl6PcS41m7oexqn2MA3TfNtrlv2p1NOYOLg/G536zx3CsdLaN27SEHue6wCbOZdilTpl7mk85dd96xyP5n+WTRB89FPsE/edDXP/KRjwz3hhmC+fF+bJapgU27tuRSNgnvzPlbZQCT1CaZ6bNxf4jMILvRl3abTguKlvVIm+UVa/mkHWnX4PbRj350ON/LfP/mml/8xV+cQhCsG09dvDLlnXwtY0k3/2mfLC6hbO4TDkGJbqLdqNOLzz2zxuKShxfFWKeCiw1L45y6zo1dGY/YO/LsuKXKwFo6ZIZ+4AVTuU6/eO3UuPdiPu9597g9zgc+8IGJAczzKx2w2mEg96EDLjRmEOzM9B06NPI16ROUKfXIopycO3NheK4WgfQd5zb7n1i/v96+Mf6eWdZtkwGYmMEwg/9wBoNZBvC+u+9Y7NdeaxEwr/BDIPNLx3bnIh8zJTm2S4EO6neCskotz2MA5j4bjHYJcmwD0HGEdiGRd5Q/SiWdjT2urIAxQHKfVzNSryhhnrM7C1xsMOecV2yiwK0EHIvkQbl3wZA/9fKqYvJIPRznRr1SFxsg1IvB127rPEN6rC6jfb3vVV8eG8lWUKmT8XUbzvXLuT28bGTZVegB0dh5ACCPftKQ8zYAna5X37qMlmPLt41TjoMxZXL/mJR8M1D4eDD3YJjzuMNSJtIjDcc+Bos5nO2W5nmvBM119yXucXpm+ByT6xhZr0j13mZ9eyd95C7yhPx74O9jbx0TOY6AVyc5T3wV6T366KOTnD/99NPTPWxaHAMk9+TjQdtu5sHgfAv2Abx24Pr3GfeGYP8/MsU+e9GLrHh2uMFXv/rVYTVuPhfPjuHhcXHSrplQI7vRv+jXtN8P/MAPDPenLXCz/sqv/MpwLs+h9zz5PHN5tTDK4SrIdtr41Onla9AWK2JhaMb4VPPb4X3o4BjrNoVIHFi5ct1PrWszfhBa5FdSUo5NpECMMeLQvRcluiWy6EkF8p/z6JkcI/PTHrZt3+d7lyuen3zyycXd9ybCqn/v+srocxseWrp60zfo60mXGMCUmT4R/ZD9GYNl7QNIa9++v1nY8bfaN8Et466c4+dWXMA9SkMMYBmAY5xFGYDXvwKsDMDVRKYMwPV3epcBuDcHVBmAZQBm7Z6Z/ynWtQzAW7Lg9tYDbymLP7eHUrefbt//qH3/avsm/s+f0L5ZBPJ32vdXlxeeaL/xk+xpEcj999w5MIBmmuZWtWbGYgZwms0tZ3UunGeymW2RnhkShN+r2zKr80rOOaZljgFMWnZpmAmDXYgxA91vdwDXYwCaRSSNlJ1VYV5I4oUodhmAS2brDqQ3WxmsUgbqmlmmXYwcp64O+icNBl+7mT1T9mvoci9pmAH04hHcNJlp2j1o1yPta4zmVgd7MUrP5CUNy0bquYkBJD+3rd3kDvb2amSeM3uH3PUMIHmH4fBCBstpL+euk1kzMwQpAzi6zUg3be+Vy5zvWTEzdUnTKyx7NpR7vcCBOuU58ovMcG/al7yDAcfu52YA3Y+RpZQLxtBb5LjsTCTyS9/LvbDzed54mI1J+lkF7L5kGcK9Zjacfp43UsQdl090C/WzMZ9034pVwDYAe6av7xeWffDPYoq4/vL5xCc+MXlN8pYOWMJ9y9ePxfXNHn7B0m8toi3M6tlDAaOVfMKg5pM3heCxObc4NCyUyCcMoXXA0FZ6JaJlNNeMO3Wc0xHf9eEPLcLo5pO8zMhdvDS66+9qoUvvfe97h2OYQPdvjxMpJwxn6kd6vSckaUUnexEh5Yy8IrupI7IEnheaa/zQwdEkif79tm/Pph2jS3y18OzAyu3b9DJjz91tYU0+SR/dHhlmH8B+5X7eBhIsL42EarmAaaTb6Pd/bXWJmzfsn/f+y3YvY7DCYhHX8N9o34+3bzj3GIz5fPeWOAwM4GOPPjR0Yjqn3WH9Vg0MDBFqBNVxTeQbheNtLji/yWXl2COvonU97OpE6dtliyLyQJDnvaiBe3CDxDjF5Ra3CRh4q4AoIBRoFAN5OrbQRiudOgrTm4hSl00GFIOrFVCesWHiQTLX4qbhuuMZHUfpgRqlZReGXXRps7kV1HYNG3PawXFbNp7cfnYNWg6od+6du8cxbTZyUKqOfXS6wQO85gy63Ot4Ok8KbCj09fFzLlvycoyc5S51640O8g624JhztJ1DIehrkSe7bPs4LuQFTO0a2zRhM0aWadrOK3htwJKHYwRTfvopZfNKS8fsxUjhnqTrY7uJU44Tx49N7khvjZJn5lZZU84M/I8//vhQlQ996ENT+wQXTzwwANO2Di0AT8qWvNBr/ZY8N9O5LAKJjDgkBsxTHm+ZkvSinz796YR1LxZf+9rXJoMhbelJDS5NtoGJQYQc5b65SbUNJO/EQBky6T3VtnzJp+1eMn0SyGB93W94nhsdQsS9Dv9JnTFQY9j2xtTh/atX8+W5VZzeKuZzKP9y8fax9j77fDLppl3S/+zqpQLuv+6XnmijR+YmkcgE/Zf6E0OY60faqwvf/Z53DlkmLdr72rXVe7Pz/KQT2vl8LBuR3VOnhnf9DvcxriStXMu50+fO53IZgCvxvG2ONr2c8u+1Gv6LZS3ZCDosoDeCfn5LFMoALANwUL4YiWUAjsxdGYDLvS+aIikDcLXRdRmAi0UZgOvvMy8DcEtr40247XZ2Ab8JcF2X5GAAPnDv3cPKpykAt7ljmAGZAXRQegZIZi9ztHhmX14dZldAz0Tkml1IzP4z42EgNkNgxsRslAPRySOd0zNUzjPrjsHDjDGMHeX0vmmZfdotQj5me2wwkEbywLAK42D2qm+JPEPZ7MZwsLrZCTN5YJDnmJVm9m+3Se9KDN52AVPO/HqV7I1WzNptZAawdwn1dbXLJ9fMAHJv7vGMnGNjaKZmjt3K9Z7NYTbNzNzubruX3Z6928qLLOwCThtbJvp9H51O0qcuZnyTHsyfGcDVIHN2YjXz/BwD2IdDpK49Fu5Xbh9vIG55zD29LJgVI43kbfaH52CV7BUISwXm7t/Jl7xI6/ixo2sLxbynm1etm9FN3sEQFijHH/7wh4eihn2EkUpfuXRutZKzx6avE7jcTM6v07bLhQ7WnX4dmI9/6ZfyDoDF4n3ve98iK1XzSd+krpEHypHyTXgtR8RsvI9bNOWkTnb/R169Ips0WPjhPNJu0wb+B44tzi33G3QdD+wf93FcW+HeXNLvezw7mI0s1pwL2H1y8sC09TL2+ExuVr3WLuU/c2ZgwKYlJWECHaZgr5YZX7PWll30gmXf7UyfjeyjO1a7OyScYkztYHMFP/jQuP9hFiGtNte/tIjLPp9g+uKL2dq3MX9Hjg2/kUXKFrxhAO3VYjFjuYAbu2oBrOM9IzAYgPfedaLFLhxcM8J65T8K9SpuKZ3JHSrX01G8XQoKxZ3FRswqLmK1ktWrAR1T5RVTHjBtxBCjEsXhmCPqYlcqSEUxMujl1/GAdNrEv3A8V+8oArt1qVc6M8952xIbM467ZEBKmRxfaAXVG0K0S36Nkd/wkPN2r/GMXccMzDHa7Uq3QWNjO2nkXsrsvPu4n5vFO9mIoa7bGICWdht6HOe6jay53kFZe6OONvRgbWPR7mLyCB4MWknPMYrJe5M7ySv/ch+TE7ehY0Ud7+jYU7dbj6knGHaNe4KRZ3gu91D+ufyMl13wlkfHQM6FQsQIc7+xfFFfzh1tLjVvnzQXO5hy0hZM6lI2h2/w3tYPfvCDi7w5JJ8YPHe0jYfRYegLT5qsQ+Zc39to3gNHxnfAupwZ5B9++OHhfOL4fvVXx3BuT3Qw5HLe/c15guPdJ44Pp+MKRRa98joyBabRTZ5s095+U5PdnJM7dd/BKSb60qUrzdAcV7vytqfIL+kmTbelZQKCIGPGdZPjtrsyE6DoZKdnA4mJuccScLHRZBe39YOxtm61e520g8XcJJ7yRM6uLHeF3t9iVg8fGc2TyBp1ff31s4t3vnN0DQfPP/uzPxuO7ziRLXlHA5B7U7dz58adA5I3ujj51ZtAxlYuA9BaYO/HZQCWATgo1zIAD6y98aYMwDIAywBceRTWtk4pA3AtLrsMwL0bHt+oJ8oAfGNIDgbgQ/ff29i81ezfQat2+zjA2+8sZbbkhR95DgXarwzsmZFUgdmqZ3sOiLV7s3dp5PnMMnkdUGZyuE1i2Dhg2QN7nkvZ7H72mw5whYQBhBn0TNJ78XnVJAoh5WE2NxeEnfwpW8rB7N4B3q6rXVEOsDcLCuZ+FVzax6+TYkZpF7ENQNoz+bHvWPLrg56DjxkJu0cQyzn2zyKbupqZ5f6bMYBefOGYveBsJsyMw1xX2eRm9hYnPYNs97nrZ6bVZULm8ms2jbzNtjnYOyyWWdqUP+XyIh1jZ2ajd0+lzGYF7eK2DIKRwywsD+5LLr/dpj1LnXpbvrgext4MIP3QoQUT63pg/+RdCEYwgJHrOZcsz6UvwgbmmNWrWRjy7d/+7UN1h9XITf/l04e8gIcXmsyx8Fup4aULODIDK5n9Cv/kT/5keDx7+VEv2LbgzavUzGZ6H8noGPr3E+99z5BWygs75nf6hmECj2CPPEZfoEcomxe/uZ+eu3x16vfJC88LZbB7NeesI5CT1Iv7c9y34cXGpFHOflN7M2T9Io+esbe8Og97mnpdZbbc3hgzgHmGujjUg3Np4yuNHc3niSfeNcl53h+MCzjY807rFvAyySL1S7uFYc0n5TW+wTT1OT+ugqlFIFt1wLqpR6AMwDIAB6OiDMD9U0xPlHcZgKuVyWUArt4EZAPxZpOb64abMgAno6kMwHGyUQbgGzPKigF8Y/gNBuA7Hn5gYAdQaI4RSvKe8TJLzGzELFTuixHBwJm0HJBtpsWMSJ7zAoKkzww0Mz/HdnmxAOkRJxLGghlSjpn9ZnYGO5dnKN8UW9S2ZHA8F2mkTOz9l5kw+fgNCY5tYbaatBzATl283xpN1sdfeSGDGRWOg6dntEknZaB+eZ429CIWs0qe7Zq59av4uCd4UW9vDQSGfXvTJi7H3CDZB4P3MYPJ/2YMYO5xuzlmxwyg3Xh9V8k1M44+9sICnrPsc5xnzKY5DZ5DHiKLZu8c8+Z4O9KO/HOMbJgBTL5euGL5oRywL5Fr9wOXuV84kXI7dsvyR3ksD7m3jxekDfOb9nA/oA95C6OUnfMDs9FYLaeRN4HYG0E/ze8cEwkrk62dVgH4Fya8Uh62Ifn+7//+xYUz43YbzsPbJUvrEAAAIABJREFU2dyIZdxWBbMNTPajI++83u4zn/nMkETKyX5+bOESnDk2gxzZoc+mfYhnfPxd47592TKGBQbB33GleEqSrhnpfvFOdCjlsZ558ZWTkxznGXQEGKVcHCdfWE0vyHNMm3Uq5blwZSUP/XW7XJETdLU9JsHBcbtze1Wa4bNu5NiMonVZ6td7snxvrl9qbF8+d911ZIrzPNFi/UjH49tLX395uDdpUKcxpnDcDMQM/rj4ZcT43KVhf55iALfthHXfGgKDAfj2h942DKZ02gih3bcc5zodNB3YijepRknMDRa9QeB88pyv5z+Kza8zS7p04OTLMcrMHT/P253KYJF6oDwY9Px+R6eb55mdpV4oOdcbXFIWFGzyMl64kfv923o5tEszdbUBSHq92xOFYZeO282DsjEgb4yRKBowDz5Wmn4tGc+tK6jlRlxdheYMqzml2rc996QMc/WecxFbMVuhI2fIWH5976Zj34e859wmw4x78kueNmCnQa0pbuQv93lCwz1pE/CPwYacU9Zg71XtpGH3rjGlXR3qEBm2AWjM3Ub9PSkX+XhA8qIs7xfpCaWNMGQxBoiNf4cpeO/KoUwyAI1dnvFKYnDELdlvgO0FBCxa+I7v+I7F2x96cMgmZfaCA2Rnzn0+t6jsRuMLG0En/V/7tbzafdzkmLLmlW7kw7ng6X0CLUv0w+hANmy+t70zOZ/oLtzd+e93LpNefgnx8IbOXA8WpJFf9MXzL708yWDKiw7mOesv94N+0uC+4BCglPdMM57c/+fk0kQFE36vbE76LMo40EII0GWRO3B2Wef0hceVHM8tunI/sexcWr76MSuDH398fEfwI4+8fTLwPPY8/dT4hlf3pRGf0TXskJK0+7m2/19Mw6X2LQPwRh2vrm1EoAzAxrKYnUQRlQE4MmxlAK4M3DIAywCMJvUkdy9jSxmAh9bejlMG4GrsKQNwLz1pdW+5gG8NN56aDMDMbOxCYobkvfi8l13vxkuCdqmZwemLaIMr10ynZwZFPJoZwLBZ3mKDGS2zz5Qf1iCzWWbHdpN5xs5MzQHG3uIlrg92n09ezG5TXruP898shNPItblAbJgOBxsHgzk3Zs5vcvOBKxj47SV5xsHJdq/xnBlAsAsuZnlw35itMptjFz3pOVjacmD5sutpzk18Mxew5dVyhzzl1wyBmTnqP5cv17ywhmc554D51N8uXjPkc+5bB8ib4eC5PoAeWUEG0jfMANKubnszgHalOr9N7Cr3z/XfpGu9QP0iD5a1HutgxPXICGUOq24GkD6d+9EByNehg6ttdXKO57wgx20Bs/Xss89OLtRMZnBppuwPPjiyfqnzR7/rI8NxnqMcfj0i9bYXYW4hwY3U8ZV9I5vzi7/4i5NeSLqnTp0Zzp84sWJ8ae9gy7EXfqS/4pXI1jYcH204oYspfxbEIaPBwGEusKB244OtGaroMdysp14/PaVn/WqW1GE+frMN+iTX8dJENpAJ9OzpCys23X3aDL/ZeeTZCxGDHbrqclsskYWO+aR9KYf1jPWsdfGcJyXy0+uPyP1qT8C2Z+OFMaygiXyTq3GblwcffHiSXfeL117Ni7zGWFP3nwMHxjecjOmMLuWhvzXXbxjA5baDxQBOKNXBXhCYYgDtFkoCjpdAqONOwjXhwZWOYPeoO2oUAx0qafdxbBF4DyAIejqqKXXHKqGk2SPLq82iWCizKfx0WpQfndqrenNMHs8888yk8BJHZIPAA1jqk2tz8UlRpH5nJmmj5JKOY4scU8JxsHWsW++eSh4pXz69O3su7srtQB65z4se7I4hjd7VhpDR9knL8Z9zxoZd/3MubgvuzQzAYG7XC4OWDcPIEXW0e8duZPLs3T9gkOe5xjnH5qUMyOvochoZQ8c4kZ/j93IP5U/Z7dojP8ftIQPpgzYA52LhkrbzzH/3g+TnWD6Oc573pSY/xygmjZTL7mnyjoxQptSxNwDz3xiRnzcrT3nnDMBpotb26bNRQf3s2nY+rA5NrB1p5Jzdm44Tfv/7xtfFPfHEE1N8ng17u+Ixkh2bto3S/d/+xc8Pt6Weds9irEYe+l0Dci/9Ks+6j7373e8e0suqUtrt+OHRYMg5MP/yl7+89t5gDDK3VXQI+gnDLNiiW5IWMYVfffqpqa0c82y59QpfsEldHK9MXfPLs1NY0YHVSwBMNqQc3luV50g316w7OfbEKeXxGGT3eK6l3qRrl2zkCI9I5MiTAvozIRfDCt6lATjqxjGW78SJIxOmufe118ZX7R1pY0E+589fbO0w8lqRr8OHx70jI+/uQ5GVweAc9x0sAxAhq989IVAGYFNKHtTKAFwFX0eJlwFYBqCZ2zIA901GWhmAoyHVT7K8ZYlZwTIAywDck3Wyxc3lAt4CpBvcMhiA9919x+K43oJharp3CdKhPSu1exEmwDP6842uNnvH7B0GJM+sqPrLaxS5mRnqkUHIq9py/o72qihmlNm3jzzMPkYxMUNj1hdGE1Yz5WH/wPwy40paLj95e6We2QIzXX4DAjjxnFfqet+1YAFr0buUzeAxW2WfsDxDmcNSmeGbZsjLt6enPtxrl3nOw9DYxeF28OyZ8gR72vBIc0OZBTI7RxuaAaQcdu3ZxZLzZpmThhnr/jr3zrmA7R41y5hju7O9EIbjOdYp5+wiMkMLBpYdL/bgOTMOXi3ugZS8gxVynrTmGMC0T+/yzzOENER+keGUkTRyD20RjO025D91CjPkvg5rZJclbe10Uw9YlKRl1o8ymYk0Y2TZmWNJU17cnnbPzrn6zSrl+MrFc0Py6Usf+9jH1lRmyvvUU08N57JvHwu7RoZmZG7iHoWRgylL3//kJz85XM+q3LvuHt88YjY2/3v5cuZpS2/RRN/zfn6pH3J14ug4JOaZvIEin7CNcYXnk+doq+i9ycXeWC+wph2sQ+I6p16nzl1aWwxB+dEbwcThNl6kZlZ5zaU5LHhYyZx1oDFKG1tf2D2e+6w3gomZRYe8vPzqyLwdPrz+GtLx3Kpd85/nkjcyH5e790jNfcESHRgZuXhxWKE7jDm0j1etp19wHlzy3x4Kh0h4Iob8Xhz3CSwG0J2mjrdGYDAA3/X2h4eOg7DZGLEBaLebjSK7ARk0ItAolCPHT6wtmXc8UErqWA67cZyHlUPuIYaD2JcTzUVEulkBZ4OB9NOxUaZ0Xr/+Lc9jAMZd1MdjoWBQaF4ZPOcCC54YgMGUMlsh2rDypqYo5uDo+LveII6yxgBM+ShH6mqFR1tcHj0Ray6FDAheHc2glvJjbNj9h7Ky4ZLnSeNQew3SJvcseb9RA9Dxk6TpXxQyeM3FCyUNK1jusUGZujo2CBkw+2PXpOvVu0Ijky4P7ZM8OO+BzwOR+6bDG+yut2GOzHAuTC4xXJFDZDDlRTbG1YWjIeR4OuQ89aR+6T92RXsVuVdKJi275VIPy5djwihHcMJFijHi9nP75BmHdSCvds/dzAAc+s25MV4ruFDHH/7hHx7OpW3YvPcLX/jC5CKOCxmcU3/kgBW+DkGIsXV+6Qbs+zDlGwzRZQjBXKhGykJdU07jNT13aaxH/lNm6z1P3IO9Y0gpB21pvWCDOQYgH0+iHDts/KlLL8/WT73rO89TJ0/aPMlNuv1K7ORh1pE6Re5scL7y2vh+ZcuG2W2HCjg0hzTSJ4i9NqHBvcEwmz7nkzFnzgB0yIgNQGM7Ad0dlAE4AlIM4CYJ2e58GYBiPssAHJm1MgBXjGMZgI1db4NdPmUALhZlALZ32JYBOPSJMgC3MzLezLvKAHxj6A4G4JOPv6cxISs3Qh88bxeeN2lm9usFHMyGPBNrpPYaA8gsiZmhmT6zZr0xwiwqv/2qsbgdSS8B0ZQ5v17wQfl5KbxnkJmpERju/cPsck6dvY8Ws0hmsA6sznPezwzXrxcY0Hw5h4su+Ns14xltPzv0Xl65zy48s5ITi3hgXAmXD/em7GZuvSgAPHI/WHkBgdlf0jvc9tyyW5T8qIfZu9QTjDzTDx6eWfcu4KTpNiaP3kVu12mP3SYG0GxT6kq5XX+7WKl3fu2+cShA8nbZch/PGQ8zgL38Y4TRrmbnwwa5XSizF2pscgGbAYT9MdOCAWiXuhlAu15TNjPWKXPOUXcv0gmGpJ173Bdhw+lrlmvLYspOW9gFN+dGM9vTu4AfvP+eQTy++MUvTpv2ZoNoPpQzuIJR3OB4DH791399OraOfPa5l4YkHnzg7sWF0cs5yIjZ2jm2DLySl12sXoQAzqkL9186/9qQR7CE7ctKX54LCwzOyZe8owPo62AfzC37E3u9//AaUznnArYOsXeBvJPWHLNGPex+NuPbM4DkTR6Rd/L2osTc5/CMU8uNv3Nu1Z/GNbVHjqz2dU0ac2EbwRNM53Td6BEZXcB9WAcYeEJFPXpvWM8WIz/5zbVyAU9dtA5uAYHJAGzitLa0v3dfkTaGThQzQovCi8Jw56Mznz57bm2wttsNQbbrzKu4SM8bLM/FhB1sUwE6VuIvrFTpVCkznZ3Vbe7gUXy4nlJP0rCbyS4sb6fgGEawSr6cTz38ruLcE9zAOWVjgPbK0z4G0C6NpJHBj3S9arqPq6RM+5avo9rkbkr9PFASL2Qj3YYG6dpleLwpUK9Y4565wSTPMeDk2IMJx1aCpGH3jw0Hx1flea7ZnW8MN7mAbYD37lS3Se5zXT249sZnysA5G+s5Nw3gWrkc3Nyf8t/5RU7Iz/GCeaaPjYqssbF5ZM1xeLhhI6v05WGriWVclmNk6ZvpP3Z9YxS5TLR70qENU2/STRmYFCVfyx0yQTlTHht1dn2DkWWQPm8j323dG4AXL4xvHkm6vFUD4+4Hf/AHpzKnvJyPnvmjP/qj4bls4owh/dTTXxvOPfLw2yZ5juG1b/+4QtduU08wHCIAXsbFBnPKYf1DWywujVvKpK6EuwTDRx99dDgfWQXb5Mfq4eDrcJXcm/QxwNNu08S9rdC1vpuLw3OYCO1m480Tnd4gTt6OUXZcnOXf44DDKbZx/1+8MhpnnjQ43MX9zmEbYBBcPHFKWpb9pHvt2shPmRQwMWLD3QagJ479hBb5QVbKAETL1O+tIFAGoGZ4ZQCOA0cZgKs3sdjY86Bmo6MMwMuT8VAG4GJRBuCKNe8XZTgODyO9DMCVNyOYlAG4vSlTLuDtsZq7czAAH3/3O4dgyt5FlQfMFEU4zXDQgZk55X67xjh/4PDqdU02MMx6wApkAJkWLLRjjBG7etZp+3Hftf3tVVFezUg58jzl9Ko3mAczgGH/YEkuXrzUWJLjQ9p5zrNYjjEC7M4zhW+KP2UjTxqCGXf+h4Uhb6fRBzUzU7SLzy5pMM3s3672SfEuVwH3rBrp9e1tJthtP2DejEU+yZe8syIbhsCz302zalxPZgBT7xsxgKlb75pNWaxAzf6Ahevdu4DnFK8NQLuAzUR6UZPv6dlH95PIg92a5J1yepWjXYX0RzNv4J/0vGk3Mko/MAPoRSC5zwwgdfF7nmGYU0bKlv03HZJhLwDthjyYAUx5uNcr8JOfZY2Vtsi25Si4zq1+tgzavU475BdczADmuTuWfT1MHZh5lf9HPjJuFJ32+NSnPjUchwnENfz000+vVuI2xi2fpHvy5OiSffTRhxevnxlZRjOVI1M0rsyaY+VTFrOZ5JeFX9ZhU78//cqQlg3x1Cmrl/N5+OGHhzhGPk8/Pa4OPn58fTENaYBz8qItXj93cWrDtC0yCm52Lbv/pEze+8/1Ih/rCI8JU4GXdct/M4OetHJvMLGMOmRk33LD7JTVOjPPRhY9FtI+eT4bSudztC06pKwwrXnt3MFlurln375xU+7IImkYDzO+LvOcHrLesgxfulz7AFo26nhvCJQBKAawDMDrDf4yAA9d54a12y4DRRmAVyaDIINdGYBlAM6x5WUAjiEdJg76GD9PCDyhKQNw3rApBnBvBl9/92AAvuedjw5K20LmWYiZJL/wm1k21zPDdoArLNCxO8bX4OTTx9705/Kf2aCDxz3oJr8+5u7a5dVL01Mub9PBbC5xSwxOzKTznwE88TBeiMEM28yhl+6TR8rmQGHyS13Bw3GEZkY4zn3kbSasjxHqWbiUkToRLxUME7vn9oRtPHP+wtAOnj33gfReZEBbOAaQ/DzrtuLKljxzu/w7ls4B2ZTtRgygY+eYVa/N6BuThSwha3nGs+Wcdznz32nMyajj6cy+zjGAUxxWS8hbXtBPUk/aJLjS9r3Sd79yjB/lAzvLouO1wDn3w6aHpUC+NjGASY+8w8DB1BEvm/Tod2EAXX4zgGDOdcfvpZzElYZZhF00Gx5siVOzLnAcIfXKvdZVYIQMp83MFJtVdj89cfzY8GgWt+QtQPnYm8GWKtkPkPzS9xL7R39Cp1AXx+lFtxw6POaR9vPCATOAPs69aX9Yp/CExxu7TjlpF7+V4uRLY/xh2oPYzS996UsTzk8++eTi85///HCP2WbH0YJLsIIdTjtMCzhaLKP3fXQ8Jn3KTLj7lfs9spY6Oy4390eXeWsYx39a7kjbC4G47hhsx98OfXr5xhTXC9n2W0PyHPgfbs9Q5jyHXCH7lxsbd+jQyPqN7Th6SOyVyDNznhDKbFawNwB72cj/y1cG9rj2AUQQ6ndPCAwG4GOPPrTmzuuNNA/0dGyvVLVBQAdPGpy/dPXampuDErpTeyCmY9kVanej8yaNi+fOrm1X4QGadKLEvagEJQiFn0GH45Qf5ed3Eqezk97cdbvO0oG5Jwqq78Dkn9/UiYHDhmNvAHpmjaJEKXlhThQ0bRWMCFxnH0C/fill9Ia7pJd6olht3Lst5qTtWFOUNgB7JT26UsYg7OTlveccUO7Bes4AdN6bjEEbDeA9J6PJ1/UiP7sNfc4ucxtsKPLg5lCG5O0NYS0PvVEKNl4Za0PchhX3Rk6YAOSYe5iwRS4JMegNQJ6zQRl56ffMTB1sAIKt2zDYOqCdNuZcMEEWewPQRgNhAeDshVG5j36VdOfcfJQz1z3x2GQAtk0Qhk/k9rHHHhuOqV8MZ7DI+4P9jl0vBOhfERe5ph3isn3hxZendO1WtOz2OmI9TCAG4WhURB4w8GKM04bnXj85XE/eyAztnvNxBU+TwTYhcfkxmsEr6TIJDsbU++CR45OBnmem/V5bmfg4BMGTsDkD0O5W7k37gmfyAKO0vQ33XrfYmMwxaTjEIPXbv3wvsCd41if0qzwHXskbuUr/BSdvzI4MjxPslTHo9rY8ct7ucMrhcdjGIPoi18c3wZUB6La7HY9/rFXqH7Xv/9K+/2BZwUwFf7J9/3b0Qfv+q/b9++37wh4AKANQbw8oA3Ac9MoAXG0QWwbgyIrxKQOwDMAyAEd2uAzAPVgab9Ktu+AC/nDD7pfb91T7/rYMwJ9tx3+zfT/evok0/pn2zXzge/aA9WAAPvrg/Wt7cNl16Bl0BN7bPfSLIfKcZ94T+8AGWMuC9S6bzH6YAWV2w4wygy8MQMphpoXOBxNw+tWTawygXdGkne0d7CpIcTJ7w53hbVmSr4OamXV6Vs/sOK4frsd1ZvcIbqGU18H9yTvnmGnaBWYGMGUwk0e9XTZmoMGNezNzNXa8BeLQ0dEN5TcXmAH0ohmzuHalzbmA7W7NNjBmAPsFCW5Lbz3i/Fxvz+rdrnOu9tTZLkja3m+LcDvYrUvaOWe2j/6E3Foue4OZ/NJOyCbljFyYsSMPM905N7eqmD5hxstbtWxiAClD2nuOAUx6ZgCpY1g6ZNJvmpkzANPWcywI9U59kMWUB1kMAwiLlbzMzrMdkxkV0ktaxgPmyiEElDPPb8MAul/59XRp+5TfC2/smmSxSnB0SEj/3JkzbWHBMkwh1+YY5sGlt2TGr4yuvcZ8rba3GmVjZM7jYTx4cGQD0z7TtlZXxhAPy0aeg71L3TDo45b2efQ1fSVthfx4scSrp89ODGDy4R57Eegz7gcO3fHrAdGF+UVO0M35NQPYu/z7fpr/tGXahLbyvq7D9SWTmvvRAbRf6kG6IQVgrNNPz58fN3OMq5d8LH88d7m5WlgQYiavZ6TnGEB73DxWmukeWcA24I9iUi5gBO42+80W/P+2fcPs/fft+5n2DQOYBv96+/7d9v2Xyzq/v/1+tn2/q33/9ZY4TAaghS5CaqNjzsWS9P0M+VlgOb7QVk6hVMaYltUeTKRjd5LjIeYG6OTrOI+kcbRR+uSRZ7yfGR01BluvrOJqwt1k95UxyPNggHGXPFG6GUDtFrJL04Za796xws8gc/7CiMuJ40fWXLIe+OySzb3BEsXtFYNRzDaYJ5frUmPYtWRF71ggDxw2erzqzwobjPZdXb3PMvn27o08Q/7BCuw8WPdu5l7WUlfHKjrOyzhPIQLLPe3SVpyzQeaNlO2ScsyOXVnIe8pJWR1Dl3v7AZF65lnHAHoCZGMw9/Uyk3rbsJpzOSMX+SXGLmXDAIw824CiT2SwpP17bJKW+0HqR3+LEeQ95zjGCPPq92CFYZk0sio1n9SD9kzZuIcB3IZv2sTubi/CAS/HJXsiNNeGOcf9MUhJA4zSJhh6OZ7CKbQS3a5E2iTlWhmL7R3nMTy6j42D/hjd6L6w0nuJmxsTO9R0H3V837tH97Vj27zBferJpDTt8txzzw3355xXPedcH/ZB3s+/8OJUi9QP/Qpe3jz+Xe9619RWKQfGfxKg3cg/v2DrMJ/RnTpWNu2OvktdkBMwcsiMJ2fWd0NaSwMQ2csvMpDr1mucjww4dhMQ5ttnNNLHNowhP5Y/6dqdPTeGTuC2A4+n4G8XcK0CNlq33/HPtyplXf9/276fal8MwL/Wjn+zfe9Nn1G1E5H8U+37zzZAEVfxKlCjvRu8/X8mDGAZgGOwruNxHJNUBuCKjS0DcKnZW+cpA3AxGEdlAK423y4DcNz6Jp8yAMsAfDPNstvZBZzYvrB+f7l9s4GUDcAwfz/XGXPB+dPtGzfxj24A/Sfa+R/vr73j4QeuMwDnZzWrfQBNnXtW3TMWySuvgvO+fGZuKAtKMzMsZll2/fWsZO9GPtRmWM7DK8yYMWZ2389SUxYYuxh5XoTAzNYMgXfm96vdmInGZUD9UkaMJRvYHOeXe8OWgHkYGfJOmcwAmkkNdg7Ctks56dltNc1cl6/PtpvZK9pSJhu+Zmt6d4tn22Zl81YW6pKyz7FaYO6VscHKbI3ldFsGMPlaBl2OpBcZIS1j1MsXeaeOdinlvJma/Ce91BO5S3q9K9HhA/0iEIdAuN6e9ed82spsOcdm9XIf7Y28JH3cqjnH+dxLOVM+hxBQJq4nD7Pz9DevGDYbPscAmlVO3ryS0WxNytaziGYAU0aHiVjOwW5uZwLHc/Y6EBzT96gjLGPaFOYqmOAFcKiAj+d0WZ67tn9cFLAp700MoPXFSh5Wk5AsDKHdHnng/iF5u9fzDKuq01aWGRvuuOPRa8GCvCMb6IKvfPWpqX+bLaOvpa5gl9fQmVGHSc050oucII+U0+OPGfLoB7+dxGx46m3W0h4W67shTGS5X1/Oo4PtyrUnxIuy6BP2bKz0TZjssXVh/2hrtkx1+XwMzsYKpi9p9MdjHi1eu/YBnO1T3+wn39kq8G/a92PtO75raDsD8A/bfWEG/+EGAGYZwN4AjDB6wPUgxABtKpu8BiW3lHwbiFF87lD99jG51wadO+Jcei7b9Nyli2sxe3YJOLaF87g+HNuSclHOKDAGfrunUkcw8ACPYvNKz+BCfq6jz1HXuFJQmo5/S5kcV2aXctLP85xLulZmdrVPims5buTePmYJpeJYGAZxK2HwDw7g5cE1xvjcBMKGi1cibrPS2INgymk3smO/kq+VKOWjzTypSDqOtyMP2j3Xc9y73ZNG746hD9jwYFCj3hlEfd1Kf27ilHO9YRiZ4173t5TTK4UdtpGyJS9kNPc5FtYrQamHV4nbACRv2iC/MSIw6CPDHOP+jEHhfsz1nMuqWj7eYsNxdsglmKeNbZR7UO71nic0ZmvdH/PMgQOr17SRnt3n6IuUkXL2K/t7Y72fKFzZQFe47efkwH2J+o0GwfhvdDGO8YD7RoOgxQXePb3SLvqPMnuLE5cvbYz+sQHIcy+++OLihRfG9YWnXz8z9XsbidwbdzLtmmOMzByjn9IPMPbiMqb8yGgfDmJd5lhR+jV59+OWZcb6jlXAaWtkbW43gqTnEBYb9568B5dlZFMvgmv/00weQ/vJZephGZjTM75e28DcEO5v2os/0Er+f7TvuO34+Mn0MV0+Pfw/bN//q3336gLuARliAMsAHJVmGYDjrLIMwFWsVhmAK4YwWJQBWAZgGYAjw14G4J+/fXW7uoATm/euDt64fP+0ff9J+z7dvlkE8nfa91eX9z3Rfj/Xvm94EUjfrJ5xzLE1nhV5xjWt4GtuxzlGyO4kMzxmLzg2c2N3C2U9e/rUxIBkNgsb4uD+pAWjxUyTAPik07t3qav3Ocvsza/c4jmCl5lF5nzqN8dUuN7GDqbFDGAUjV3AvYvUjGQwon5RTp49Tq6S5SIQsygpo934fVB36pL0HLSdc2ZU7L6NC7h32YIHhrZXCXsBhxcfWQ63ZQDzjNkm0vbrzkg39YQ5sGvMMpHn55jSOVdQys75HPMc+Xllpl1SZmJ6BqNn8rxC0W6hlNOLoHgOnHMd1tXylTS8CtjyQ7ktlzYA6dNeyT3HAIb5cZt40UZW5ueTepsBpBx28TkEYS5I3245h2/4OcrchwocPDJusJyywTax+XPOffnLXx6up4xmwM3GUlbry7V+oFXAvY5FbucYwF72r793ldr+lWd4cecd44p/h74kLS9kMEOO/PAbDJGf559/ftrH8Pix1Z6mYRepN20Wtz6Le7wYLXi67Uk7DCDyiowGZ5fHbLkZ/p61771D4Gl9ZxdwsOgZ6zyD/AQf0rCXI2XwHoPB+XybuE2tAAAgAElEQVTbZL8NMTf9HDgwmi3ph713IfjMyZTrzFiY32IAbwr3bXPDp1pNWASSSmUbmL/Rvh9v32wR89PLmn73Hmo8MICPPHDfmoGGgiEddyq7mTjvwdDGDco2LuAbGQQRZO61qzjpbooH7NPLRtBz1HoGLzpZ0qLT0skc8+O3Z2TQQglEGRH3kwEOFwlljiuD+Cq/9SDP2X1mdyPY2uAhPbvobBzY8KX8dn/awO1dCZMhvYxDynPk3ccA2n0OplGSKPg5ubDBkzeB2HBBJjhnN5rLsclFl7amvT2A2y3kCYYVNm2IkdO/jYM28SB0MwMwebkulMPhBB5wKHvycvwr+NuoCrYe7HoD0Mab+6kNVRuiDG7BgcHVxlPw97t+WcFJnRio8ps05tyRniCl3/QDarDvB7BxwDy/wMiyAegV3mARN+KaC2/p8hwGwaXvzauwCfswtsHFEyj3obyvPB8b6cQn5hwGYPKa9JoCvdxPbcQ5Fmy/Vp72hgp9qjcAez03p0fzzNXlxO7I0ri41LYhgR053nYVoI3T15Gp1Av95JAe9zXujf5DB3o1uFelU4dHH310yo+3z+Ra8CSNtBU4+t27dsfacLeenBtvaO+k6Qnl5BpXbHPSvboExzqTvC3zvQFo+UcfOpzlwoVLAwyJBcTe3xQPaAOQMtsATJ/xpKLvQ2n32gh6D9bON/mtn2rltwHIRtBhAb0R9PN7qGcZgAr6LgNwND7KAByZk3zmGMAyANc1TBmAN3rF5QqrMgDLAIw0sCCkDMA9WCobbr1dXcBvHJntUljbCNpuQLtszLo4mP5mQc8TE9Nm13PuXrMoHnDJzwsPzBKaEeK5/ddWsyXSzbWwOZ4deq+nXDdbYoYrzzHr9H5TYf/YR4t84v71/lWUP895hg3b5JWiZiTmGEA3Y673bFryMBNLHczgmCWB6UjZqZ/d5L1bl7Qzy4W98izYAdIwNPfdfdfsYhTqnTL6ObvJ55i8UWmOQe6e0c+FBxgvu0X9SjQzdhx7o1i7bh2MbncNsm2XodmC4OYFMilX2s4uMDOAPQtIPagj7W4Wy2yQGViXA8YlzA/MXDC0G5D9LHPem96aSU15vOo7/7luZn2OAbSbkD6X3zA/5J26gI1Xs4ORX222aQW147JgfM2iuC2N0YDtgYMD5GYR2QA75/zOXzO0c2rWLB6rQgfZXbJzOZ5j8oypXZdzLuXeG8A9R5Ys44W2pyje4GNHD004uy28gMwMrN3vHhPcb3pGPmUH87j1uZ69J5HdvIYum0/nE30C0x4Z7/FwWIG9Kte127IB7P2hn0bm+0UWU79aopOy9XoZWaedKH+POc95R4PVe4E3M4Dev7F3AXvssk6wHHNcDGDDeK4D1rmtESgDUHFbZQBeH9dXBuBqx/8yAA+tbZBbBuByz49O3ZYBWAZgohI2uYDLANzaPrnpjWUA3hSiG94wuYCHwFgFKZsB7LfSSIqZDZplyjnHkWSW4rgzM4Ck5+Bh8uvTcNyD2R/PTIfZdWMASSP5cpxBe+41WnOzeLMo3gokaREfklkucZDM9rJHGItKcq9jrMxoGQNmmWY7SbcP0qcFU2YPujnvoPTU21vomBmkrfYfOjwkl2ueKRvbuVXAfnWc6+c9DzcxgMiBt7wxu8RznmGbDRnat2MAc86z5bnYtKTbL9hxULqZ0Zz3TN/lo760T78AwVtQeNZOmbg/mDtejet9rM9cP7RRMcdqbGIAiU2N3JrB9XZB99xzzyATSQPG0Ow75fGeiEMc1ZLeyr30j5sxgKkHOCYvYtOCBROw4AVOjsOde5uQ2aOBEVlG4SNT+W/2dC64f8B/38gw55hyULb8f/bZZ4frY1zyaPjldWB88lzP4vaxX9AVbt+e+XI7o1NXLPDq7R99zB7PXV2+8WYZGzYU7/Ch/ZPXIgwg2CRvx5iiz9i2JdfsoQBHe1XsjYHN9ZtcEh9N2d773vcuiAmMXHobLeuclDmY+20wHo/M/Ft/oido46Tpvue2IgYwz0/YLeXZTHGe8dZN9lr1Md3pA8jOpUurturlgGE2r4pzvCLlQyaMrcdTFgYO+mt8ZWC9Cm7qiXWwFwQGA/Ch++8d3lu4yQCkQ0VYPZhPRsVycPZiglFRjq82O3fx0tpKVjo7Hc+Br16R2ivVOSNgMogunF9TVtQlnZnn0mHpoNQpZaQTZvDCjWHFYCUQpUV6BMzHAPQriaifBzIbyyi+/NoIJm8vhMlzdgfRuA6EtqGHUsozc+ezKXc+aSuMIwdy5zncpcEDgyCDQj+4Jh0G/tSDet9x7OjkVrExbhewDX4r6TkZTD5gMmc05Zk5A9B15HkvxPAkxoZC8vOA0xuAltF+IuTBhDLZ6ADDyOGmUAcPALS3Df/ebQQ+cwwlr39L6AJ5BwuvwmYD4JTHi1S8ACt5eEschyPYBZx8+kUgkScP2shXjAOMrNSZvpnykbfd8T72/pRzCzvAlsES48B90xNG+gXGR37pj8Eqq2DRA7h1jxxZbYszys/odJ17BdhgbMkfPNfGljva3Tok7wc2ezRn3CwuswghE/DRULUxePTIwWkRW9ph5bJcrYaln6Yd/C5gh23gHreewQCMLsDQS1qU88knn5w21M6+gtbB5IM8ZELtPQPdV5Bdh794Emb39NwEfBhXlq9mSxl63eLYPE/aPElJGdxXgrMXt21jAHoDb8rp8ap3OdMnkg96tQxAekr93goCZQCWATgYbhiiZQCO3agMwPUV+GUAlgFYBuCKpS4D8FbMjW/8M+UCfmOYDgbgvffevTgiutzsXWYkzITzS5C4Kek5N61nMnMBrCm2jQ4zP2YW7X6eW95P9dtuTdOM0kHifoWRY/zs4nUAMemlPDB1mSmz8MMMAVgksNkB9riqPMMOpt6nDTaB+nm3/lzb5O4GGwdkO4jZbUFdYsxw3qzBnGvc29zYtZf6kY8ZF86Zqcx18Mp13OOUOWVxve32shvtRkyYmZHcZ9aUNFI/2Cba22+tSDnMKK7XZVQtXnThes+xDJE7u7l7N2auk0cGkIMHR7ejDU73FcsB5Uz6ZhQtr5TP27U4NMGLUlxOb5VjhpL+Ql29PZFdwC+/+tra22jM9qV8KRd55zn0Se4jjz7Qn3qB15XmRaCcZm3MQCUP8mGrpuAMi520YJpynXoNrrslc+awAvpHyvK1r31tKNKZM3ld3vbDjuWZ8uecz8/JPPV3eUY5mUTmuteNra6M8WewhV6IknsOHx4XvNhF6q1YrBesZybsjh+b9F3u9VY+STd6kXZLW9MHcx49GZkwo4t8oyPTD7wljN34ZncpH3JkXWcXao6NMy7/pGV9nfKnvMhG0vXCOm/+3DPkDkEYQyjUWMvG6d8E0ocAJE1k2P24H2+RoXPnLyblcgFb+Ot4awTGGMCHHxwGwjlFFCF07BOv73EOjgXivJWxXyvVD3C53y48Dywpkw1AD2AeUJLGZbmA7aqOwiGmxa7mOeVjIyLlQOFFIeAmS8dGiYFFflF4dpPFneGYKm+omzLbPeoy55rd3Xbl9gZg7jX+a0pOMVq9Sy1pophTb9KIwmaAzjMYEGnDPo3IhV2Tdn+SdjDvDcDUm/p5tXU/MG5yk6XOxstyYrl0/CfGUepht7UV8LohPaZkObb82QDkOHWxgcfgbcOMcynDvn3jAOEypB0cLmDXUO7NYOQJizHiXhtchCbY6E49GNRSDhuA4Of98Dhn2faAevrsubW4Vxv6YEiZ3T7G1oO1Jw30sRNHV6vyk5bjvLxhsCd2yas3AD3YI6+p6+UWQ0xb0BccK8e7gE+efG0yrLyvc6/DSKtvW+o/N+npjQH37dVzRnA8vi7WcJCpzQYgsYupH3iln/aTRBsd0V3owGvNWKY9vSuCN3amr0QHxt1LXRwW4ckXteKc5S/yYAPRbewJC3l4EjzXT4dzy1XfeaYnAPLfoTn06Zy70WQ7bYrs212/LvPr+xTOGYDu83MTW8JVkt/ZcxeSfBmA13eLOrMFAmUANpD6QRblXQZgGYBlAK60SBmAi7bhexmAZQCO8X69t6UMwC0sjm/wLdtz8d/gjG+T5AYD8F2PvWOYuTj412wVsxTT8hkYOe/gfmZAdsvZPeiFHXMznZ6Fm3O19dR+2sIMYNL1zNArY734YJw9rxZLOLA9570yDUYrdYUB5Ne72juAOM/AwKQ8pOH9rzy7RKbMJhhns0NmWcwmrJiC1WyUoOFco13NAHrGm7Jxj1mBsKiUtV+xl3RzbW6hS1gBWBwUphWn9yCkPeb6Vj9TdnB3rs0FxAe7fsFE6uTgbbvaHWTNSs++LVK2TYHaXuwwsErLRVB26ZhZuHp1XCTl9NwPzdqZwZxjxY1Hju0yTh6RP/eldVf06BJM+XnOAe20h93hbo/XXj8z4W83mFkbr/Q2Hl75bvaHRQQwb/vaAgvHZcICpcww1pFdu/pT7rQDzFQw2CS7F6+MbZHne7drztGPU65Ll8b3fcWdZwa2Z6yNUY6d7lyfnZN7nzO7P/aV65/wApRNLmAYwNTLuqhP333aXpBDbQGF4wHRa2AbuXUfe+GFF4aC+hWdZpDtfaJ/RGdYxyH/ycuhNJTZepSyJS3aoJ/IsRuCvQ485z5o3enxwf2JPJLWFLLQ3L9s+Jw2oS3chzzW0ZKWEes1M+iEaCW/M2fP59FiAG/Weer6LAKDAfj2Rx9eMwAjbHRqu/kieHPuJ9xJcfVhFEU4beDZPUhJ7LJyfB/X+ziZXkG5RlFKNgLmlIAVshWwjQCeoyMnj6RrV2dvtOX5TfFJKEIUIINMfpOXjVO7tT1IcuzBdZMBaCPL7mLOo/CDBQOnDUDHBfnVSI4B9OBL2YKJV1gzGOQ5XMBzg1nky/hzjycKOdcPrpYFK/feEOI5ymw3TvCxq522Hzd3Hl2CzmfOxer8gq0HJMeyIkfUbxxch/idtRi5POPVj5aD3Du6jsd5r12hHpxyrXev9W5lT9rII/Lg+L2+v3ni5YEzq/ydH2mQricVHuxtXLsuKT8yw+ThUnvP6lwMaeTHr1sEGxt9Nla8Ap8ypy6vvX56wDRl7cMs8gznYpC+/vrZJf6rGM5eVvr/MQKy0wLnb2YAzrmD3X/m8hvPjXfZPZ1zNhaJPU37ECvZG0tJA0MDecLwOnb40Np7xm2c5d70NXRBDGd0j99jbb0YXUF9Od8bgMiSN3e2Ecl1u63TZo4d9NjFhvhm7RyPar0M7h4Hco48LUc8l/5lzG0AOpSEtN3X3Acd6sBzqRekyustJrV9ygDsO0f93wqBMgBlqHqWXgbgaouXSFIZgCujyjF2ZQCO2zyVAbg+WSgDcIhNG5jTMgDXGcAyALeyTba6qVzAW8G08abBALz/vnuHGaPdozA4mYF4Nsos0OfnGMB0eg+OczNedwQzgL537nic4a43fWalDg424zG3PxoMQdLxLGsu+Df3wGzOubBT9rm6pgx2QVBH8nAcidmQHJv5oXxzrhKnkZkjhqtnv55d2hUHA0ibBtcck3fcvjAxdoWYASQ9s5m5Tl2TBgthOOd65PmeKUs5ghE4pfzGEXbC7J2PzZhSd+qYdMzwOF23PSv4CLi2zKUergu9y0yG2RPK4D4zMhXjnm12ARtHu5nMtJrVsDvMzEHPqo6MxEgP5ZpDJKhL2C8WTJlVBSOzK3me9GBTkrZdxzwX5seLruwyoy45BzuXOrl8SffUyVfXNi12u9n4nAsz4HrSd2iLPQYvv3pywCaeD+QDNgdvSK5nJesmRntOx60zb99YBnCOJezj0lJmM4BRm/uXe+AFF7cL/dqbp1tXTQz5ubMLNg8PNuh/ZCd5mpW1/rWHhXZJvugtr9i+mSvXLLR1mPOwS3VtvDlydGhvM4DeHL13xfZjTsreG3JJa7UR9KUpVAD9MPb1lafKetB9c871bb1MP8wzxQAa3TreKwLTNjAHmkDPxUtESO1+Qzht9NBZYlSZOaOD952J8+5AptPnFel6rJ4H/KFjaRsYx6B4YEkelH9u25YoPrsiqIs7tg01G30eNIzRnGFrFx8N1seDWDl689pe6Ufp2j1tF4Rx7/HKf9w/Xokbhe44Khu+1Gsa+Bue1C/XUH7eLDsMAPFTc5vw5nlwtqyl7B4AKD/5pQx2mRtHx8tQZr+T2a5ennPsV+px7do4wcDd4o5lA9cy4EEh5etDBcwcjumtVp6SfmSXMtvIcv60cWSBwTpYWF77wcnxnLnmgZ170/Zsbm4j1/LlwWky5Pa33re0dGz42jXoyRl5G7ukxSBuVyFt9exTT1/3pg1jlmPLjHUWcue3YLitUs6Tp14bkvNKburqbUFioIC/DcE5Y6w/54nYzVzAc4q8T+9mBuAqj/XUPHdmi5icO3RojAVlC6dMEGmj1HnafPvihbU37DielJzc19EzfZ08UUNHeLJoY566WkckPZMW+W+Z8oTYLu6h7dv76YceqDdWecI5h7/7Y9LoJ4F5HowcRuK0bACmTn2eObfSe9FxY5iB+yPlTt1rFfBcS9W5bREoA1D7QJUBODIgZQCWAVgG4OoVYGUALgajtwzAFetdBuC2Jsabe1+5gN8YvoMBeN+996wFDdsFyWyDX2a/nokxC9sUuO+ZWWZ9GBhrQbntfD7J27PjuVlZ7y4dynZptUGuGbuU0/vdmSEDOsrjBQleCUa58pvy23WUcw7c9+rPzKDtPrN7Fjw9i+9dxOQ3t8CE5+x2CVbkkXqaEepdqPnPTD+GL3mnzHbfzrkNHSBNunZdwkql/GFJmN17P0m7MZ2HWWMzaLAFxp577QrKdbu1KKtdUuTn/SmDMWXK+f37RzbEOFpeaBO3X47NPq5WBI6rRi37owyPKfbubvIxmwYblXwJX0g9zACaoaV84JZnqJ+D2ZPHHAOYc9SNdCPbsBOuy+VhkcHoXs693GPXstkeWGWz3g4ZSVv1fezFrz2/tmDHOsc6omfWIiNgFNkGFzPIOccikMiOXempU8pDul7xn/cDz7FwtN+NrrmcHN/o/hul6efmsOBZfnFLz60izj2sEvaCi5QRXO7URtD9DgjkYRYbd7E9Eg6HcNjAnIz25Xd9LQdj2VehQLnmcI81nJf7AJrVs4603rY8OI3eq9IzgKwWT7lWi0BWzGHO9+Ufy9PXeHTb23PGOFkbQV+PVZ3ZHoEyAJdKI5CVATi+/7QMwDIAywBcDc5lAI5YlAG4vhVRGYDbGxpv1p3FAL4xZKdFIFevrmKuegbQwbEOtnVMy42K4fQyQ4OhcZyI47k8K/JMchMbmLwvnT+3xvzAvsSYIQYleVAXxywx28u9HHsPrJwze9WzP2YAvVgiDJvZkz7vKBDqFOUKU5ljx0lhkCXfPu4trAyKKOV0fpPLpqXHh3qk/t7qh3QdD5h4HBjGfoED6XmBimMfuZ6Ysp4BTF4MJnal9IshbsQApvzU2wxasLKMgrnfFkHbh4kCZzM/OX/o0BgjtOmNGHMLc2Agxhn/vrUFOTln1mxcZDEfZ4gMmsmmHl6okbLDbqXe/dYa5JnfngGkfdIOjtUjBsuxSH5riOVowvT4iUnu+jetUAbHHMI8p/2QGbOxMbi8ECFpvPDc12YZQC92smfATCWLnZLvHAOYtn/19KmhasHCssnE0P0UNvlLX/rS1K/MQq/01Pr2K0eOHBru9738J6GeBex1bM849885bm6TfjYD2G8XM1WoOwgrSH+768TxtVhv68w8FjlEn5jNHWNrR3rLLHTakHZBNoyR69Ef89/xx3OvsvMiqOTPq+Csa61nzX7Tr1In52+9mzTtBRld5uMir2AMzo4Ddh9b9Y+Vru7bYpXG+MrDlOX8mEdtA7NJcOv8DREYDMAH3nbfMGBZSdt9NSf07qCmpvvFDHR2B/H3LmDnnTJwPYrBtDzlsyuKTptFIFzPM5vcuh5wUrZxIB7dz4NiWEZFp37knbKTnt2L3ieP83kOhWGDDcWYX68U80IHXCU2Pu3C8kow2sQDuxcsOCB+00Dg12J5E1e7PPqFH7Rnfh3YnzpTb7sVg2dv+Ho1picEqSt5x/D0YgcHdyfvXL/33nunNuN6DE5eWWWDyIsiNk02jBPB8WkLT4CSYe6zfNndarz6vtC7k9mPLeVFjmMsk5/dychM31eQWy9qwD2EfOc35bL7ynKOHMRQ4p23fbB90ki6lMn7RV5ri0A4n7Lzjmy/99VGAm2ViRkYpd7UMWlbtpJ39gFEJ/Urmj0RsJsxzz300EPXrSDP+Tzj9wU3x9sAZfafw2AEr/xyzotpcu/LL4+rh/PBwGPg97mLw7uMx7CCTcbNlJAOPJnh2T4Nn790adzQutskYXIr9u5FwhBsWPodtlx3n120TbONTV/uyBbtkF/3FeTEITbWtaRl3elFS3bZOk4V/ZWQE2Q7bQZ+7nuD4bXYjjvaZIA7PMNMoFdEU46xfcaajcbg6j3jPYtog3Q8Xj3H6m0mymUANiznOk2d2xqBMgDLAByYwDIAr67N7ssAXK3+R5uUATiyWwzsZQBev/dhZKUMwHGCWgbg1nbILd9YBuAtQzc8OBiA73zHo8OMzTuhzzE/vXvCM5kkNuei9OCR47lFIGYs0mkwRrzHnd2lZgApg3enz8zIiwa4Z27WlvyY5ZlFcQzUHAOauphtMEPFeVwR3AuzM+eaTRm530HReRY8+l3wc80uK7NwdkVbEZlRYGbuRSD9zJz2m8Ogx8huNy/m8KIRymx2zIt0KGuYTTN4fTlybY4BDPsEAxicexlNvl5gYKZinf0dWWFvb2OXNGm4TSwTZqEpu9t1ZBHHPLw4wW3ofuG8zRrPsQk5Z/aaepghN4NDXRzrFvy9BVDSSF1hwsyu5FVw7rOvvPLKUC9c/zlGHoInbW+XrF25kUvKhwy8+vKYZj5m0K62V8T5A/OFC/ltb3vbLPOZZ2AAh4Vb10aqZY4BDG5zDGDq8dxzzw3PmeGDhcubP8D23LkLU3tTh7WCtz9uN64FV7eVXbzr7t7xCViiPMMkpseHe5yfMUV2vKDKrssrbRsYl8nMMnWzjNL29mBYzyS/nuHvZdjX5/KmfYJJv/gqZTJzPniWDo7u+KRrDxb3bsIcbIzX5IXSVkzuPz3ruloQsnKrk67HIx9TLn7RDZfGNxaVC7jvTPV/KwQGA/CJb3l8GGzZ18rxOHOdk5RR5HaPzrnX+pLYHUcndIejM6RMGKK9geXBOmkcbvsleTDvB8DcY7coCsOGUso1t9F1ykYntzE15zpOPpzvY5xwGdslagztRp5z29oA59gDp90HdqvYUHMMoI0Y8LUBkrp6A2XynCtHH79HmycN2pBzdm3aReTzdtmMg9k4QJNWynD33dF7Y7uC48mTJ6fB2gagww7mDEC7z8cJxDhA9HE9fX5pM2+GTTlTHm+6nedcp3GiM7oEnUbqZVen3fHU3wO/DUDLXd9H+5hWD2TuK3ODpycK5OEB/O777p/6RzBPG+RDPGHwnIvXjOHvSZLlCuOTNM63d54u9y+e4p8GPK4sfWTt+GDTAbQtspGwCk8kkJ9gaANwsdxvLSEE6AYbMX4XOPhnApKVwPlk4tH3WcfN9gYg7ZNf96u+jznN3jjA+LWBQVxprs2tJu03Ip7TI7Rx+j4y7MlIdlywDFIXt9+cizhy5IkA+M6NMf2E00YW1yzT3kOSNk6bXLg4xtQdPrQy9C5caK+AXE6+ki7y7bhe6pR6Wue7jtxD2RzCkn5w+vTrUzO7LTAAvbJ3Ll0bmUmol6/8X4p/GYDuULfR8dtbXf5J+/719j3evl9s37/Xvv9mWccwoP9D+/6n7XtP+/5e+/4X7fuFLTEoA7DFeJm5KgNwFctXBmAZgNEjZQBenRZM2StRBuAqZtqGrI0VGy1lAI6jchmAW1onW9x2O7uAE+H+/7bvb7fvz7bv19v3W9o3S89Yfvaj7fjH2vfj7ftn7fs/tu9fat8PtO/5LfAbDMD3P/ktg/uX2XZmzGYWTE97hupVUwwUzB57ihxFEKNijknydWZwPWvhmVY/w9zfXDhmAO2WcPmZzfVB5il/ZnCeaZp1hAEwm2B2bO58ygOTkZgQGECzWMywvVrOwc0p+9xKYrNqPRva18Wueeo3slyjC9JMhVe9Jl0zlGbo8pwZCc+k7fpz0DaY+00huQ7rtGmAsFsHnIM9DE6ep5xxP8IqBXu7n5BRL9ows2h2iH0AnTeuey9OsgvYeJhNNqNtdziLQFJGr1KmTH7/smXYzBR93K5tM9Mc92EFZgDN5tB2Lr9XGtNW8RawQvxbP/htk4zmed4mAl52syUvyp90aavII/gHI8px/vzFoYqR1DnXZerhhSk2VvNc3Mz0QeeRMqzJT3uVZD4pu1fj51zuNQOIbgm7iLv7pZdeavmM77/lE4bXzLp1zrYM/4ULY/3nPv1Cj9yzaYUvb5RwmIuPzYBbpsyKTUyxdO0cO9a7c6mr62/PixccWW/bNctxyrDu+h5DAOhXZpQznsEA9vjBG2eRSz+O2Zvh53r9xzX3JfpH8Dx79txwy6b9FtN+lunc677bM6p9vZPuMgKiGMCNveSb98I/bkX/nvb96Kb+384nAOUn2/efLu+JILzQvh9v31/aouqDAfiux94xDMJ2TdrYQvCiCG28Oc4ueeWZTa4ep9EbbwOVvdyqxAOuXZruHHZpku7B1pnmDKGUd45eZ7CJ8WNDbt0IGHfqdX52K25jADJIerWujWsUVgZDu7ttSM8ZxGB4//33T9jlvjnjwBighO3WDgabXMAMnqmr6xtcnJ8HYrtsbcSTdwZT6meDwIaqjSnHp2JEJw0PyshrBmLySdnJxxtBe0sf+ojDA0Y5Gts+xzbAc87Gfu++/f/ZexOgza7yPPD7t95b6m6tCAmhBSEwFvsiMPtiwMY25cngOB6bycTY8dTYVa6y4/qSLqwAACAASURBVHiSMp6kJlPleCaTZMaupCqOpyoeF3idISH22HiEBQwSCCEwGEkgQBLaW71v/zbnOec85z73/d7z3fv93chSc67q6v/63nPPvjzneZfDPqgiYKah4DqJvhMAR90zf1YPTy2hEVbHim4CLAC0mywV2aruKsLx3wjDulPRF8ukbYw6ZJ1fsP9A2TxC7MY+zzxo/9I8o/3YFmnBPBHrQ/U/17OMa5u4DsLCB/06XOoyBumoCgrfq7N03SQSAOLZYrbQBQAk4NW5QFVGOPbwjPFB7P3EE0/EPNGKFu1r88M21DnQE5eyz6wlHS/3UgDI32o16oE+RKSARTeE2g+YT08cjM22JwK2Fq3MtI4JPlMAqOJl5gFxcXOMPsk4lIHVTadayStQ40bixMkOSEOVAM7LeSkjh2coM8utYFB1U7UeGQ/yrn2mc9heB4HWCht5rxEkWudpfmwA8HxmAL8UOtafhPvKcL8x3FA2+d/D/W9zh7s2/AUT+NJw3ykzxC353z/nzBpwbpYcnKVrb7gfaAAwVYmybRhgugPloGwAsFtAGgCc1t9rALABwAYA8xE3eZFpALABQAeLnJNH5zMApAj3fw419eFwvyrc/yLcPxXu/yPcrw03dP6uCPdDUpsfCr+xv3mfU8MfDM9+xT7fv//Cnj8dZRMsQ6BsmjJZiFOZMmWBsKOexQAqy6IiQxUlAGxwp6wiA+4YwQDqzqmIK8IWy3vOOkDe9Ogy9dHH9LHz405SRR5K13vPwd5wF4h8ku1Q4wD+1kPoVSyqjImKhpk2WAitW2U4PEZUmUXulFUkaw0V1BG09Umm7B7ahvWseVLHwGw/ZWrwTBk5ZSTYRigH61EZSbYb8sF6BAvDMuIb9UGG+PBvjwFUxjGxbB1FwDZgHtBHWLfKACLvypapz0ikrQxgYmDTQql5wm/WI9qSDKD2A/7WMWFZC2V5kAbSo3hK848+znZBfGrQwnRUR5ZMGIws6LT34OEjxYAMVrTMsxqHqWSA8aHfMT1lAFUFpRhfBf92/A5l43fIj1qRq6gc5UY4jl3kge2D9MgAxrbPFiZDDKC2A+JmHUAk/vDDD8f2VNaW5UZY1r/Ojcq0eqJCsFPe81liReQBokVVZ9F5W5kkZSjZD1SKwPcYa2X8Bz+AGodlrLRPKWOt8yXqUccK02QdoQxkxVF3fK/O25EfVU/AN/hejds4ZjEvnFlNbCrsfcgA1uqc7KkygMpU2jUS8arECmE5d6IOVDSv6y/ZR3UUzfdWcqV1zjibCNiimfPn3+CsYewBoMfrX4Yfrwz3zfm5BwABFmH69CNOVbgM4J7d6SxY1YXgxGXFs564wtPVQNqq5+LpvDB/CgB1glVgojpMGBi6oMRBHTCv5kMnNg+0enpDiEcXPQW4nEgUlKoozXuOb1QPiosFJ1IVqWOSY57wDb9D3bAsWFAZhnnTxRL598QH2g+0/TwAaFUBdPeufQJxWgDIdDApMx8IQ9DGurU6Nnrqg+r6MD7kmfWv4kUuEKhHxgFRHIEHvrGgW8VG2ma2f1L0phsglsOeIEIwgrgVpFirQquHt7mZLBSRdwWL2o9ZZyw36k5VAtg+qs+l9cuwKAcXV9UttJs2hk8LTALBbEuUR8Vy7JdHg64TQQ/+6sLO71U8WOsHaoHMuNlH4QhaF3a2vYqia+Ocus34nmVCWuo6RAGg9ivkH+UhWNT5CeldcsklsY7QPg888ED8zXLovKZ9QwEgqrgG5hAXRYTdWNDRPP2bzqZ1jsRv3RDoxnBovvDmVHUErTnQ8WTFlQinKkLT4y05sFY1JB27jE/7l6pZcBNgJTdMB+3DjUDUCxSS0gNnFpixHzM+lIX5Y7nRN3TN4JjVzaV1zeOlwzq1ALC/nqZ+k7epTQdw9rB4Rr79Rsj1/xPuvye5h4XvPwo3rIO3IgK2FRF1ABsATArguBoA7OuCNgDY6cg1ANgAYAOAYZKUk0AaAOz7uGwA8KnFWuezCPh3QlVeFW41Avlfwr9fHW6wgig7jEBgAAJDEFwAdI+G+/3hHm0EsndPOgmCu3tlBaZFY4m1UJEnd0DYFXkiBS6c+A5hLcuDnY2KtciiYIfOPKloUtkOdreVIPJQ1sBTvtauyfRUnGx3XLo75q4euz7uxMjS4d/K4KgYmTta5IcsApkMMFSMF+9V0VyZGy0Lw+t3OunUGDSWXZkAVfDmd8oAoo1VJKuiQoJltpWKgBGXtfhTcG3FJ6pwrWIiZRwtA4h8kvVDPll3EOFpn2EYr49aUZX2D4qAUV/s62rRzXKrERHi88SUTFsNTZDWqVPJ6AHMMPOsFs1gotgP6KNTn1m2TetRGWKkgXZkn9Fj17QtEE7Z01OBdcNFhgQia22fIrYLcihl+FiPHRPWub4AQ6XsvbKMVmzN+QJ/zwRr4F07d8So4eib7apiOWVIVPxJBlCV+DFG1d8fjUBgxMK4VRSqBiMsH9rm8ssvj/9EnZIBVGMKWjEjjBptzGL9tB/a32qwoPOTsrSpzToVBmVzNT5lBnWeV9ZPy8r2hM9Vjd+bzztVFPSNFItKMLRtkQ/2c51T2RfVOwDyqXMO86fMNJ8hHONAfyADeOjwsclCPofbq+vE0E6/UXE8xgKZYta9bg6QLucsK+bXtrcMoJdurT+IHUtjAGcNmmfoO4h6Pxlu6OxBrw86gDAA+UC4/0MuE9zA/FK4fyLc94UbbmBuCvdcbmAaAEz7iAYAk/iq76pk+vxSD6w3AJg2Nw0AdrK1BgDXAgjorE8bAOxUWBoATCt4A4Bnh87OZwYQNfP94f5n4Yb/PwA8GITQCjj2n3DDETRAIRxB3xrunwn33SOrNYqAL9q3d7Jd3KFgISProUYZulNTXQuP/cJ3yuAoS6VMBYGXp1uIHRbzgV0848BunDv8ojMiB9IjftX1UZ0cxkF9PN2dKQi0rOSO7CZCd83K7HiiY8TBfKp5P8ukOnR4psYhzL8yn8gfw6jfOFXu17Iyf+peZSlvP5WtVT1P/FY2R5kzyypBx0WZSO62oc3DNta4NS41rCC7omybAko8JzNAFs7qE6k+pjKmxUgoMAC40O6qm8Nxgvh4egR27syrsrTabqrbqcw549N+orptrCP1V6ZsOt6r7qDq+zFu9g18x7hV/wj5Ka5wzqzGz1Bv7PM4vYJ1hO+0va1uFr4derYeNOrZzxF+dS2lyWslHLvFvoP8eukhDZ0XrFHA9pWO4QdDp/q0jFvnKq8dlIG16bGMKq1gvKhndSNEZgf5UKkDWdrHHoPL1iQlKWMi1PMxcUXS5a+rJ8+vn9ajSit6Fax1HfoPLu1/urFVNlDHWC0+Zf2V1auF98rFZzCs0P7PcaPris6jysCyz+AbZZAZXutZdRw9gxbEwVM6kKdOX7ErFQ200vrgl1ZP8kEI5EslNJ4LH9XpVP1PPq+1sW03ftt0AId6Yns/qwYiALz84v29c3ytaEwXAAUYnPx0ICs9z/f8ppsIkg+vmsiWceC9Kv9yIsPEqyJLxHUiOExVsMW0MEGoYjvjUNGm5stbzFH+1VPJqScnV/zVhViVnlU0Y8EuvlMRkdaXJ75F3j1ww/yrxa2GVVChi8FKXmXwjOlpmVQkiN96Hmy3ACQ1AAWLCMuynpLzXpM4JVvfZcfTKooDwOV3agFrDUzYhmph6i0ECroVUFJJHMBZHVWrCJIAUEU5AIv27GbtU2gHNRrQjQ7zp4ypt5DZ+vfUKFj36oNQNynWoIgLIsYFLoAWijxxfq0CQM2z9jVv4vDA4NLiSs+vox3vuvnRfOoYQrwq8tMNHMLt3tkdI4ZwaiGqomMdk1qvHHcKDnRsWhGkHecUC2N+IABEugSicArNcj/0UHLKAIvosnE5tTohjrBAr+/Pr89p2I2QnYP4b5ZbjcS8jZy2qY4VtAvrwDPgwHv1MTgkwtYyqbNjXTN0w6tpsl/ofKPf6WaD5eZfS1h4caD/PP54OltaAZkH9PCe/TJtIFIravl5/J6qR+g4UfF6v/5nGwBpWG9z0IxAEgPWrq3XQAOAMpIxgBsA7A6wbwAwWXc2ANhNMA0ANgBYc01TAywNAMJps2js5YoasgBvAHAY2DQAOFxHs0Kkk0CefXlP/82yQx6lruwPd2TKHCJR7oiwgNqdGt7zO1WkxzPVQVMmi/FZETXiOhX8hOmOnt9ZBpC7YjUg0MGpafREJyLWUvE4d6u6M2d8SEtZPctOWLbFYzKU+vfEOmBCrIgHeVHRtu5Ad2RRqK1XZV+0PfV0hs6zfZrM9HQQZRNXw8ymZbEMoO7g0T6sF/QD7TPqQ9EyBJZVIvuiTJL2EzI1eEajAKTHtNHnYFyAS/sxwqo/L9Yt2w71RmZNj55ThXdl75SpYZ3reNO2ZF7wl88te6kMh7KLjPt4NuQYywBa5ri/CC24C1lwotdT91AGVcvAulP2nemhfFRrUPE454IL9iQDENaFSg9mMUJM044JpKdjXd3Y2DbAt+w/6DPKiqtfRPZXiNhxgQEsEgz4oOv7R+6VR+tZfysDqP0AefRBRRqbOvegnMoGaj0qS62qCgijc0/6PZ3LGhOojBV96unXaDOV2Oj8wXA15twzVlT2ku1n1wmV/tB4R+dJbvRwmtDBg4dKdinqPXMmuaqxF0/0Qb/1VAVqUihtQ51PtH28uV3b5tjxKJlqRiC1AdSez6yBCACvfc6z4wKjwEV1uFQPiQtLTTShqbHzYnL1ACAHPeLk5I/fKvblbwUHyI8u+HHCW+l0Q1SnBINawzJNLvaqF1QDZHFxykdPqdhNRV0qetGJ2RvA+l4nZoa1ukoMoxO5AiwVObP+kYaCA9bjjiACxaWgEHlXX3aMD2GYds2hs4r/S1uJpXQSHVFs0vmV8/JvRcDeRkDVA3Sh8KwHFcipE2su1FjU2RYAVlzkUR/Ms4rxvDGBsAQBiFfFqewTjAv9hempqF31MRFW1QIYRwF0IZ9eG1sLRE8E7OsAQlc37aNRXzoGPJUETbv04wAAddH1Zhy7+UEY3dCgPvQ4PJ0DEHbXjs56WOPHdwqk+R3zjnR188B81AAg2kj7JtOinir6O0E4+ifzjLplv6I1MI4fy9NG0g/LXnvnWZNqAFDj0PlEHZirxbA3z2gcOk75HN94YFj72hCLhTzw2D5tC61/3SxxjKHNPP1XhNW5yqpZsB/jr45jzTOecyyg3FavGrqcjzyCE1WTug7bHmJjiowRB/sdv1cAiGfcOKp4Hb/tmEY6CnZZ/3YTr/M5wfnpBEobAJxnULWwpQYaAIx6HUmnrQHANGk2ANgAoC6kHghQdggMYAOADQB662oDgGldUeOWBgDPHQJrIuCzq8sCALHzUopcd1ZkV/CXTIrHbOmOHtnizlR31d53SIuDQnf0Kh5Udgg7b/UYj7RWdnSGIcrSIRwHH9K2ohDL1nkMDvK0mUXACK/iIqQdGcLMrCmLYhXebVNZFsgTW+OZGkmoeBbx6dnEWue629bFejkbYuAZ60IZKMShlmzqYd+yuNre2q475Og/ZRqVCVTWUsuk4nUFFdYIRNsN75QB9FQStF0ZF4w++By7fpYVz1gHYAAZXn3Pke1BfXnqBMpwMK+WhVAGnG2MPuOJs8k26MkvqCttK49dPL2WNjfI7xgGcHU1hU8AMP31WexOgT2cM9HrS8qG43tlMpDH02eSf0FYB6sYUH25KWuKsNuCEbfHsuOZsrusD2VfubFDnNqn1NhGxZ8Mo8ZjlBgkC9KjpU7Z9vv37y/9hCLgQ4eO9o0Mhsx87QQR/j2LAfSkKkN+5JAFzYaG53OKbHUzqPOJbpTT3JIy7omDFQCmfpACI6z6B1RWj32G6ShzjrbxRMeaJ1UP0DmV9aXlAkvHsQVDHvZ3jHv+pnEYjpNT8KYsM/OsbaJ+ApVkUEto29e0rCoNsCCS8+qJk3EsNQbQGTvt0XANFABodTLYkfU8W7XYVHGkJ1ZB0jrxqr4Nw6uoS8WcOnB08WF4FQGXNBY6PSQORvzVRVcBF0Gc6sooQNSw+K1WwAqIkQbiUPDAuJG2Ah02h4IRTgaofxV5enWjYgdORKpfmSZWTrDdUV4KljbzjG9BN/OGPDMfmIw0fypqY1qMW+txUdzwsH60TVA2BT+euA7x6kRvrTR1MVcAqIBZdYCYT/Qt1i1EO2wL6HWpA2DqeWEh4LcUBSFeigGRNvurFaGqVaCOB/zGO12oVPTlWdqzLhQQKABUp9DIB+PjmadjdQDZD1T8p2NQATrrZWOt85OxGMah7Seob+0nbEvUm24odVyUuHN/heqqxss2RL0oMNdxzfGv+mE6z3gAUMeKtgPBAYAKnI2zXzM+jH+Gh5U1rmPHT8VzZ3FBDHomW5DaaVnT9KZsj4Htj/XuK4K4WaLZGg6lKoDO1YxZwYjtD0MAkPFqntGsCjgtANSxazcQOqd6daNtXAOA1AE8ePBgEd3rJl7dPHHcA/jrmGU6ulnhxhB9gZsG9luUX8kQ9P8yTsM8gsuWpzafE5A/+tgT+KwBQG/gtGeDNdAAoDHU0MlDWckGADudF05Syiw2ADitQ9cAYBLQNADYACBXog7YNwDYAOAgPhkM0ETAg1U0M0ACgFdfGR1Bq4hFRW7cVSvNbh1yMhWPyVC2Q3d2ujPXnRV3TOpoFTsr7sqQllUSB9NB8AaAoorfBCyIl3Fzp6ZMpu5QLRuI8y95MR+MA/WmDKAeAVTbvSMuyzKSddI84XtlT5QVQxzqINu2tKv8ngMp44t6UzGlMreMQ9lHC2y4cy07c4lP2SgV6TCsOhHXeJUljCL4TDOoWI5xIKyyp+wHBB/arhCDkqlRtQKUk22I9mUb42gwpk1REPJDS2LERQZQxWTKsKqYh3WAZ2rNyLIjDq1/tqnHeiCsioD5naa9nj1ljWUA1ahH65F1qKIs9o2gPNLVfxiHdlIGJ53tTOL4Y7wY30xPLSVRVo7Tjinu3BMhXbYP6o2ibfxWP4nIszLaqC+PwUF6OrewrjUuiHhxKQOIuNgf8Zxt8eijOI0zON8Ovv9oBILywFMBrx4rP8O6lj7mvFm8Y4c68SvD10SzKgLWOU43cyom529V5dA5Sb+rMYFk+lLaqXdo+bW9VX1D+7wywqpKwnphP1KG3FtrOO+yf4HVY7upCgLjRTgyzBQLc77TvsQyqTEH32NeUUmDzj/s37rearn5Xhl57UOHDkd1hMYAegOkPRusgQgAr7/mOREAeuBNRUs6uBQAKpDTxY6TKhZI7cgqyuXA4YBUuhwLLicEDD4CJF2YykKwbXuPPvf0fhQAPvnkk7FyFNhovCgH6wN/N1aTQ10858Kgp1JwEUIYWn8xPP8qnW8nEaTN+CCKULGiTniaJ8QBvRTWOd4p4NTFuhOZbYvl0LqoAWbkaZb+pJ2UWD64TWCeFQBy4lP9OQUEaumNsAqWaqATZUFaCgB1kVFROsJCLMN61kVIgQTe8zv0E5aFABB9hnpgKgJWnVWEUTCFtFEmFStyYaltQpAHb7FjP1WwiHgLIBPx8kYQyeIaexKIikU9AKgLHNO77OJLSp/HeLR5Rj7VUpKzEsrP8a1W5mg/1g3FcjiZgflBW3OMIb8U0aEv6QbBq3PdQGmfYnwKitin8Oyiiy6K2UZ+sCnAhb+M78CBA2XMYkzignix2zwH0OO4gVG9OU+HbhYAVH061in16moiYAsAmX/ta11cnSqBnVd80WT6suYaBnnTPqXjT6UtnBtVGqNA1NugUtzKvoc48L236VQdQFURUhUD7Uc6Jjh+Vb1Hxdcsk7LeWBtYFswbnH9QJl0vtd6Zfw8AlroIFf3kk1EdoQFAVl77O1cNNAAo5vwNACYwpQxAA4ANAHJGweLWAGADgApuxjCACk4bAGwAcC6EMhC4iYDPrjYjAHzOFZdNWdIpm6C7FN0x8rcehaXK8dxRRQZNfMHpjirtGDtfXfhNv2qqsI+dkx4DxjwVq7/tO9wj3xg//qrDae7iwTQwLjWoUP0MpLGce5oyFax6xEHGQsVyiM+KCWxz6XvWnYqU9TxkpM0dLb/DN8pqqEIyF2vVz6M3WtSFitlUWVp30ZqeGoSwHMrm8veuXTtKW+lOmd+oyAf50L5hd/BkA5SBYJtyt61srYIUhGM9eWJ51JuqDahfL57nqr4eyUYhTmUCWC7kXdvTspaoH/1OWV4Nq6J7y6ap2NoygKwPZV1pBaxsCPqlsqvME54rC2JZGTW+QnxkPvZfcGGPLWe/o5gc7BrrGWXWdvMAgbJwnRhtR2H9kC9PBKxsLN+raFn7g9a3zj/4Tpkn9jX1UcjywRiE/RLjn2HI8EAUDEOQyOaE+WPDWa2GGECdL8Cg6TjoxKJdKGUAO+DevVcDEPxm+jBS6dirZNQD4w1lsdlPVPSNo9E6f4MdxekdmTamLAyDfqiOwZk3rAE6JtmOaomvDCG/QzjP4E5VBFhWMP1sY8yvuj7ofKiqH8i3qhGohEyZPp0DvLlOjUR0HGt/Rd4Iwk+eipKpxgDahbX9e1QNNADYAGBc8BoA7PTOMHk3ANi52+Di0wDgJIK8BgA73ccGADt9xgYAR2GOcxqoMYBnV50RAF71rEvLTg/RqS8i3Xlg10FWQHfT3DHjOw4CAArd9Ws2h9gc7vxU8Rhpq/iJcZT8LC33lOdVD8zbVdKVA3aOqlvEsMiDlmsWA6juLKyYTHU4ZukAohxkqXTnp3p2qA+tAy0XfiMOpqE6dGk3n3bn9PulOoB45+muIPxYEXBfR6jT32O+NA/6G/lQBW9bR7XuDcVq9jWUVXUjVbeI+fIMKywLxL6EPKmRB+NTIymPAVSmVfWMtHyqk6jxMZ/4q/ln+bU/629PJNtjfMO4wGVdUSj7wN/q8snTjdL6wm/mf+fKcs9XJcvIOlQWBeNKy2rnAvYNyz6uyMkKygDiNyUGygCqKyatc5ZBx5WKMcHeqQpEGjMbhd3DfMH4qAeKMCgXGSQygNAFPH4i+TzEQrUVHcD4bV7lwMgpY9oxxZ0vvnkZQPYvjZfsHdLz/Jtq39G60/zouFWW0zMIUYZMv2N9Kpumuor6nbLKXv9SVhllZd9E+ex4wzP2H7DX2kc5LtCPdJ1CvjF/My7k2TOo0jmc/Si1cXcajzd/6bygDGA7CaS2QrTnY2ogAsBrrrqid2yO6nj0J4ZOKV0BkjpGVjEUM4DFR627VMSFMPhGgZIqhjMOpMcBoyIlWm7imCWrAM64mZ4q5lPcqpbG3qKHOKIYc6NzqKs+ovAeAFAHu6e439eV6Y5EU+CiAJB5ieLnfH6v1oEajHiiWRV9Ie1ugklGIEhXRfGe2BHhtCx2olQDGjXgOHo0Gdjg0jpnG9f6F9uL6SoYtMBQjTlQVjUiUjazM35JQEgnXRUBax9EXJ5oW4GXAkDt8yqOZx0wLltu1of2DR20tYWRYVBOzSfLrd9t37U7Bkf7qPoG+5fdZLEP4q9aK9o4dJOyGQykGLeK9LnI8i/iQB+2KiAsD+sX761fOKAgGmqgfVQEPAsAon4UAOo844lTMa4UTLDPUNynAFBVRjwPAzAgOnYsntU6iSO+chZwzWgCn6jlrO0P3vjQ/lOL1/MDqJtAGpcoANSNv6q24Dv2pc4Qq+/ipZtDutxpuXTDwjbRTZ2uH+gb3qaBfbUmNkVd6VzGvMK4h2XTM549gzUFb0iHcw7jPXkSADCVcfv2ToSNPPvAvfOfyZrpt0P/vW7SOW5PnV7Fp00ErB2//R5dAw0Ahh29irhYc8qYNADYPxieddQAYNocNADYAGADgBOxxG8AsAHA0RjkrAI2EfBZVd8kAsAbrn1uVPj1xGS628Kug7sk9W3EnTl2VZ47F8SrPs+YDndZSENFPkxTGTn1F6dKwHwOH1seA4g8c4emzALjUEbCMjRc2CPlno+vUgV6pq3+zOwufZZCvxX1kilRn2LKdoL14k5SXeKo6JLdQXerKrLZvnPvVI9RJklFLCg/wbEyRYxA61MZpjOnjpU0NAwfWvG0MkDKsjHf2i4Mi/TYj1Annhd/tBX7RCcC7ww1wOqo0YOyscpWKoOH9JVdxW9l3rz+r2yhF7bGACItyyYjfu1TLJ9XR/h+285dmZHYXsqK9FR8rswu84/3yqogEhUBo53479WT3XFaKlJTBpBp6HjTjqgsNfJgfbKBWFG3S2RwkAcygMgvmbraqTra15SVYf7URZGqDzA/yD/rxdYb647vYWhG33Gr0VHp+MmaTNK8DKCOnyEGUOd2FTEqA6piWM4z6Bv6rZ3PlWVXRiuxcF0d6EkgOvYQQn0wKttm+48dHzr/WjZNxyHb6tJLLy39mGpBuqlTN2g67pEO64blPZUMMuIFV1h8b1lJj8Hkd5o2yqbibIbhfIG/R44ex+PGAI4fWi2k1EAEgC+84brIYiiA0olEOx7DeBM9BotOGAqgODFjoKt+DhcWXYjV2lcXYv5Wdq4cWxZEwCrq0cmbz9USTONScKBx9ABIPgtYFX1peaZ+DlEexoc8aBy6+DOcisNULM2w0DPibyx0rF9OZsgv01NRgwJfBW87d2OuSMBCAb+CChUtWT05fKv6KqpTVfKx0D/6i+2l/UHrQttH09O680Yt84GFqYARo4fK5woI+AybGAWOKoL0RDYq6lLgpX3G01vyvkNdMG0FErpYoMwWfCLv+kzTtmLy2FbhvF1cCqpQTvYf1fe1Yi0r8rcLINt1/fSpAi51o+aJgFVVAPnSPGt7WhHwgvjJRLoeAMQzzjMcpyr6s5sYFQezr3lWwCi3ivaZtlUbsDphAH/0NgCn0PMAQG/+rQEHbSdPrG118Czws2NLASDrSHUc8V5VD2w/0fcIx/TSnDQ9kqG3qCpCnJ9046pqMPytbes907lK1zfNE/w3sizq6FnnE77XcaNjheVXYKznU1sAqGW1bToPDZNUnQAAIABJREFUANxofgCnnM43dDdfDTQAKCcTKCjSySWyKw0ATulGWQazAcDO4bEqrjcA2DHCDQCOm6AbAOwkN6ixBgA7YScZwAYAp08dGje6WijWQASA3/X863unFCiNrkAIz3VnQxaBohksdMpGKX3NnTmeqaUwMqLiQ4AwMgdgaBgfdt38DeaNu0OGXVzp+5PTXaeKAZWhIQunYZVd6TEq+Sg4zQcNUMBIMA1bB8piKXOGtK1yMOuTdYUwYAXV/xYnQiv6YFm0a2v++Xt5WxIJopzK+CobortSZeo8cQTT46SEf29f6ZhP3Skrm8v8oA6YD9WjQlqeeNPWIdNnPq3xAllaqikoY4p32p+VcSADoNa8ypppP1GDCn6HslhjB61z/LZK5OwTfI7vlZnFexU562/b7oVtzUrpKopXy2sV1+E5x7KyJ4wb5de+WNjTYASiom+mTUabfxEP+rbPUsGSNWVW+0wxPggsL/OGMawMIMehMoDK0jFeVW9gXTM9ZXF0DmOda39QCQbLgjyxPvgM+SUDeDSI6jw/gF49e2NYn8367dWtDa9hWC6PRVTGFO3LeQltovOdjmWkpWxb1J/Ost60wU4UoGUll5aSfNyTnuA7b1wxLW1LbWOky/5jpTHMM6Qq3slOzIdlyFluxGclG8oee9bFzKeyyRboW5G5tp2VJqEMh4/EzVUTAY8dIC1crwYiAHzRjc+LoIwDAZ1QxaLseHjGSQALrU6ynMh0EtfJRcVd1LNh51dXLLrIID1d8HVBVVYlDqxwFJzVPcFzZfV0YVGRs9aIikX5HN+dCXpOuNQqV88gZZl0EsB3CtR0EUFcCi4UQCkA1/zr5KaTridGY3uwDGWCX0xWwKg/1WXSSUknYRV/WACoeVaRc1B/KYu5Ag9+r2IOPNPJ3dP1RD6t+Bz51UWLvxFWj/BifB5AV+ttxM/6wG9+hzCsG8ah+UH9qMWgB2LUgbSCEV1kVK911gLBtsPfyEznldRu2kp9BNUIjgNlUVjnKg7De899CvuQtrGqU+wI5ATHE+JgWxH4WUfQVuzF/HkAnHW0GcAwx5jqyCIfCgCtXhbi1jrXOUL1zhS02TUC33g6gFZPzeot4ju6isFG9cjxNIfopXXh1YuG1f5ei2NqvEv57ZygYw9x2/GdRP4JsOFIOs79Cm50DtB5SOc93cTo75qeI/PpzWtoM1U7sXWmcyTCqbhVN5SMQw8b4Hu8082eqhx5euuqPsD8WN1y7XeeCFjHsde2CmCRT479ZgU8NaTOmwdLoSQfDPePhfvycH8r3P8+3P8UYzqXErzwr4b7J8O9L9yfCPffD/c9I2uhAUDjE6EBwP7pGA0ANgDIuaQBwOTGhiCgAcC+d4AGADvjmAYARyKQswx2PlsB/3Kom58P90+E+6/C/Ypw/1a4//tw/8tcb/8g/P2H4X5/uL8W7n8S7u8O9wvDnc4gmn1FAPji77ox7q7Vt1aNAeRzPZqNDIfulBCOO2KIQlTcxZ28KuMzXuShWPaGPPE5qHr+RnwqikIRNxc7cRl2S5p/ghhlANXYgFWkuyxMZowDO7ZDTzweg2H3xfLyAHK8p4jRWsjprp07P6vgHvMvfqpQNt1JKlPENmKZkBcrJkR8Wge9LpAZQCxeyngpO8n09DuPqbC7f5Z1ebHT9EaZWV6+17SRBhkchFOxivqX1B00vtE8qoED6oJtgX6i9cT247c1BhDfsI2RN8sqKYOJ38wnxoSyqvyOVqrKdCOfyjqRLcP32u9sWyAOTzSO9lNxkmUAbZ9SBpDtjGfMK/JDkauymgyLfDGOC7Zv6x2BxzpnmRCPMi7KMDNuq39r2aiNkB7nDbRNTQRs+xriUQZQ1R7U8wB/g6lj/vU7sl/oDxxvygQjLPuuioJZh4j3oUcfm5qNhxhAFQlyntD5yv72VEN0DrLpqUqJtgviRfnIAOLfO3Yk6YGCG5Vy6HzCdJRNQz50g12TXLBMHuOp/U6Nv7St+FvZQsSp8wlVQ1AWT7Kh45HzE8Ip6Ldj6NQpAMCUe8TLfqBzBNqH9axju5sbo1+/eEEsriy1ZbJjfaaptomAp0bWM//BR0IRHgn3fyNF+f3wG55FwQqiq4EV/PVw//McBh0B37w/3L87ogoiALz+yktiZAq2KN7EIZbUs8MCV/R5Que0E0ZMTzya8/3OpW7CxmDgRFnOQg3nUKoYbTUswLgQTsVnG5n4VF0qTnjbFlZ64mKd6Dhw1jY7xWJOfOvhWQEuAayoaPh0mABxIW8nDx+Mv/GdBbwJOKbaTmKTtfh7cWG5N7l0Ax/kbqpvnXyCUL089xbJ9eBKgvXEiRTtRMetFA0gkgRgk/NjTCKM7/iJtC/QyTOJP9OJBesbACBpFsN3m5upLbbvWAl1k/K9JgYxCI9LdaC2rXWuSlC+osc1SZW0dqY7KWQxiJa2ZUtVgA/2O6R7MoAQXOh3atWJZxccuKj0Rd1g7N29pwA2fHMqi90UfLLuVkJbciFQPc6oS7ayPaa9d+/eEp+n+4U+og5ki5g46Iyyztlf1F0Q6nZjPbW39mfbhlbE9UM/9EOTT37yk/G7r3zlKwWw4fxS5kN14TZXU3vrhkD7Her8yiuvjGHw91nPelb8jYv5182BiqfL4rTc+TfRdLzv7CaM8anOpLcB2R50fHmpuJtl078lYP5RA1n6fDn3wVo8ClYY/yxg5cVz3cvfHD+99JIDk0cfS/MJrosOJMv8Jw4etlmPZwh7F6ZZjlOtj8WgCoNLVRNUtK75UtCq7cZ6UVC+GtxslXODMWbDZg2XGvV44E4BOOLTzQvnrdpJIQqUGPf6OkTVqUa2bevcBal+qKpsqDqIkgIY17i0jLWNtIJZbkKwdvE35yzE//jjqV137gwb8zR1Tl0eU8pA6/LRQliVmbZdK1ivp4P+bbgaAPSr+hn9FAzgB8L9jnDfHe4Xh/tPww1W8D+E+9pwfzXcLw33nVLSW/K/f84pPWaHNEOkC6PggQYAk0QdE0cDgA0ANgCYJocGALuJsgHABgCxoWkA0EEVf4OPzmcRMLbV/2O4fzHc2EuAfoH495/l+n5t+AudvyvC/ZC0wYfCbyCa9znt8sHw7Ffs85fecE2g97cXJd9t4Td3HhCnFUu248d6hiKTbLmloidvx7K82TF82AGSGSAzshx2cmrhxOfr4pswGi1kS1zkXxWB8e8dC9smCzk/CuSU/dqU7TSZTOwswQJywWO8mPDJAAIQbJxKbJQygH1RLs/a7RjFOFnkA0B1B7cYxNVMTxnAY2tJSRxhPXYVm0O7S90Wdvxad2QiVYStaS9nZgvlYBpg2wqzGBi9zkErmMPUW8D0nT6djrXqrLjXJ7v37IzPcKQSWChcF65cUHb6GxuJDcVVWN4TJztRykInat8RykIxU2Qoc0bQJuwT/PvQY48Xxmv19JnSH8CykQGIBiHheCZcOJaLedjIDDPKzzZEGmoocuGexBA8//nPn7zwhdCoSGXEhd0/xUJIbyEw2LgeeuihntEP65f5gS87XlEUFMqOS5XVtV3wzgIPsHT0V6ZMHzYuaihDdn1PYG55eYyKMvIoix5zaMcY4umYmO6Ite1BNKjjnul54l01tvFYJ5bZijJRVZYNZTrecyvW88Lqd2cCKz3vhbaq5clL7+hCOpbvJS995eTCC5I1/uEjnWHI7l1dPbL8p+A/0LmSg+j0gkwgfnO0gV1TZg1GHLhsftlGyiLW6q6UKcTtqYxoX/XYUcu2WWZS83fmDPybphRRTs5r2aYpPt+20h3HxvEIaUFP5J9ZuJ1hHKh6w759UJlP40v7NJ9p+2nffvzxNI/sCfMe0zl2PM0xyM/qarZyDv/esX3HzDrH93Z8qxqVzYsViePfJ9IBBY0BZIOdR39/JJTl18L9C+GGDuBLwv0vwg0G8LfDXQOAHw7v0O3xvb1cBrABwAYAGwBsALABwPlWjwYA04a420imDY0CG/zbEymrQZHWOsM2AJhqRUFfA4DT4/N8ZgDvD8X9n8L9v0mx/1H4Df2/G8O9FRGwrcGoA/jyG64Ou6Ndkx3hxoUBrcrLxwMLiMv6RCLj5olHwA5yMO9cDCxV1t9TNoc7MvzdvjPtlvCeaa8GyouMBNg09cG0FCYeXNwxvfMt7+h2paIbgvdqdr+Zt8379+/vJqvci5Q5RB3oznD/vj05f9CF605XwMMea5MZPzy/+OKLQx0kdsjbYSdmrmOFdu9LDEEMGwlfj/VImdWde1f/ncK7NnRsh5wvsp2qIA2WrpQ1MoApDTAL3IWHfXIIk9iITkm+88+Fsy8Db5mSxfZjTRRg6AcsM2+nz5yabOT3SKvsekN7kxVQH3cLi0HBPrOmne5md5qF+hrD++WcadWtK3UUtKY9diIk0WNXt2cdp8jwhT6Jay0wwbhWsxsG/EZfJZsMhrDn/iL3K2Vdem4wcn0q44vfNeYM6T366KMTshcYN9pHtZ8XNjCz26p8rixD1JMEU43yiR9PmyfbFxFf0a0N5ZjFGmlYfKN+LlV60Gey06aMzx53DCh0HGh/x289sWcWQ8jvduYj85A/y7IrU6VxWcMkmwe7YG/sOhCDfO87f2CyZ3eaQ1Qn8omDxya7dqa+BgAU26SiR4auRQZQ2cD8WXETEdstppNyhzHdzRfQcU3zmgIyT5dPy7YkTDbLoH+1XZRhS2kQJE77Aox5FVZTpSBd34DxVMqN+g09cjStUZdcvL/orOPfZO0ffPDhUic3Br+3NBSz+dO8p/x0EAO68NQdBNPIeqIesQJf9L94+gvrX6QZWi7bNz3jRK17/Y30DqW1uTGAtUp6Bj9/IuQdgO83pAyw+P2vw31D7lcwAoEBCAxBcAHQPRru94d7tBHI4/d9aXIgACIudJviEw2dvIiCVjoHoLETZ5GqLljMqwKejexLyg4ueDLHhbhKGlmcFgeOWPCpAQfSswvO0kYnNo1i37xoTxCfyhLyeF4PA5T5YVwRVPI723HW8jmPfdlLDmUO+SQIzMYgMVD8Lk3uvZlb0jmTzxu2SdPfudYpw2xudorCqUDTB472dpG5/Go1Gqb/zjpvs3Pcmuas7AdsOYDBcpZVZ+W7lo1A1C/kBTt2u+fjlnN71H9d6EOn8wZDyw3xqAcOuBBY62eWEUCuqxuguq6P2XpdkMV+anedF16UiwCPGxCIm6j4jTyq9XwBsKGMKpJlf9bJf3kp5Q1jrBxpGC0vkyDPE5FZ59VMG/mgOBvfcYErgFnqXEXO+E4XfAWUU2JYAeu6sVoLAFDFbrYudXwjbRqVsU44Dtk+CkYYF4xAPDbEE6MhHvUnOT2epp8cPJhEe0hbVQHYPrZMeK7GKpb1smXCv09k9Wu0CftUMrRK/eADH/hAUZM4ciyBB9jXqCiXORdcUqa3mKdskAOHy3m/FcWnGp7xIVVlUDrwlVLBVKhWqFpe7TNWV9RuYqy/2FQ3/TbowGzK0VoweFOA26m2dN+l6TrNqRQBqz9blJ9T/4UXXlDAG/q8Wuvb9cu2tYI0qpJg84Vj5HDdd9834t/9+y8s6iK33XZb4EASyLfzts5r/VpAHPurG0ALzLF+Pnq4OYK2dXi+/Pvfh4K8Ldw/FW6IgGHs8W/C/e/CDfcvuPD3l8INVzH3hRtuYG4K91xuYBoAzFavDQAGvNQAIAZWNn6O7FgDgGm1Vra2AcAGANEnlFlWnVEFVQ0A9jfpDQCeO4h2PouAoYUOQPfecF8abrB9/2e4/4dwZzoqbuB+NdywFoZW663h/plww2p4zBVFwI9/9c4gkuhYm7gDz1+r0cNiPAIo09oQU+YtWjiPIIZWUY/uepaXuuOf8FzFfPhuTU3fw/uirB7YO04qkanI20bdbTMPy8J89Wj1yLx1VVHEH8JelslKBCfKQuA3xVbVnX5OX9NO5ei7yEg5Sc80bKyvpSTWtqwG85fqNLOIuUjImycuTuxpJy4uDFlg8ph2l34nzoOot0sPeexYKrp84XsolveNVVLYtROnA/vQGX9YscZGYLjoXqbn3iD0uh6bQPE4lKWzuLRzIxGMRzKLoPWFXXIpq7hRoJgT4mHVWVKfb0Egn1onhFnOSvPRT1hmGdazW6BoFJQpCRWVxrwJ1TLFKhraYy25cOiJ35T16zHjmcrAMz2loLDX4upH62MpuzdRUZfWkaoCKBuovsvU9RDT03bbs3d3j7WwzKGth84tUDcudSx4TB9VBmaNDy23ipm7VPo6Vfp8x45kzIS8W6MAKwJmXnW+Y75qaSFvG9uTuBUsFRlkiBJp2ISNhvoWZVjGWWOmtO5OHkuGWnoijvqt1PzVfpc50ojDS58PKjbqzqXMwVktxzKAHpOtaXuSjfe97309CUBXB92XSUUlzaXsU7/2a79WWLh77rmn52OUqkWXX355OaGlxip7dY45BGo9uB5//PHST9RwkO0KpvBEdrmlYy8aM+Z5RF2Gsc8dPHiw52eSDD/+8jf9T0IV5T/++ceRnSYCHtOxW5ipGogA8PB9d0VdEBVZlV2KgCe850CDRa3dyayTpw+R6qA+duxE77ivxSBKxqVWiYWrD7qDG3mA6KQKulvzZy0UCYJKCVXm4ck58mSVwhck0ZNN9CaHrIOmeZpkgDU9mXn6e1ETZ6ALCrgTsOt+lwGn6r+l9ujApSe2Ws2+55ARBYBlwosKfLlWgv5YJ0LsRJMAiWy/5SxyUmtr5GAzy5+QB1o9U+6zLnlYQr2yLUC7cXIMf6lzaME40t6x1Fm34t89va1cd9oHC1ASUBgLIWaFDIO/J08kq28FeKwXmx8Fg2odGVwzx0+4WFrn28dPHI3v8Y0epebpAekmgIsFwulRd1zgkOdiFZktFBE/y4cFhHHgmYr2rBWi1q0uWOoEGQux+gcsVs95DGp9IV0rOkUadmNl+67WSW2DxHjwt6af540JhIc1fdfvjXwyvPCA77w6gDv2JsvTxx57rFik4t8U10NfDQCA/Y59Y1a+8E77+e6gfsE+p8Bd+4/GV+ZzsYbV/uo5Y9/EHJ3neq1PHT+ahlfndvNbKj//0KMRa8CXZdf6AphmmWAtzzFBYI2wDz/8cNGjtelqH7K/ETdFwBhfBO7f/OY3YzR4dsUVcMoxmdx7771BRJy8Bmh/tRsM3YAyDp3LVB1BNyaI82QApD/7y+CDGgD02rE9G66BBgDTEE01BeAgLE0DgA0ANgDYgesGAPvO2xsA7DOqDQA2ADgMOc5tiPNZBHxua8qPLQLAR7786eCXam9PnEfwEy0ps4gWzwpDIMyBigwoDlYR0fYgXmEYFZvoLpLfIRx3ViDY9LvCAJojclC0MycoFQ/fQOqb2YeeeEHE1rojpn9AZUN04Ye181owMpl1lR2tsIJpF5u+85mHfpyL4TST7vJEx4io/w13iOm7zvIa/9JdNvOxuKzsRhL09+uoEwcn/Z5OLFpsaTKzFS2Dc99QlmcliI11cVQxPtIDs7eY2weGN0fDTj1eQWysu19Y/+JaCqJg7uoLExTFyNNuJ/AsS61N+XMNRYzf1QHzoW2L99vCiSK41oJYjgwN6xPixZUsrodPQU8km8qZmFKyKOuSZ8S1bVtqS0/Ui+fKFnj9R1lX5IFibsTNcXoy+yXzTmxg2iw78qssohoAIAzywPZBWP6GGFNF98oGxvYT8TTyVms3bQP722MNmada3TCO3kbOsaiIbEr2F6np9sdPeqPPPGtmm28NfzT4v8QFpu/rX/96/I2TV1iPYKzI3DKeWeX2ANfaqc6ASOtZ60KZpMOHu9NHbHw6B+rvwyePu1bfmp7GZUXozIvWjdeGXv5tmzCMntLDPgyLXVoBw5ctn1922WVlTNf6nJc2yqFHDTI+WgEjbzRwgk9USL7YZzwG2Uubc42tI48xPRH60/t+8r9D0CYCnjV5tHfVGogA8Ml7bg+UeOhDagGrZld8Dou17AojuoApPkI6Bo34Jzq9LWLYzqWKAha6kelbpAaRyOnklkKtFXtmbFIcDozl5e6oqF5prb8Ee7aSiorxoS4QxQwtiDxmiG+pa5c+78DF9FozCwyGb9c60TGPcevpyCE/BgD29Wv64LCbhLFy5VpZyI5KJXP9SbWz8A2ad0WXr78QJWATwRaBnIjI19eDy56ss4f8lXxkcWsCTNm6GE6es8uVmAbRG8KqmCnnuzhTxjuKb0X1IM+4qbDqNTaHifWVD9Dk5My/sH6Pn8ESNFtkY8JfyG5/mJ/VoI9DfcDodiaIhuIFp+LhyCxcWBz0aDb253KmbHASu7QttbcVC+nmRBcO5rMcNxfqke2PfOqZxeXovKU0LjCWuPDrucAAirqIls0X9C4989PcjbQ/IC2CYPxWd00IjnzpkXt6nmqOrvdH+zxf1PTIbB5n5bkGBNPGtps/7OKvwFc3sL25TOYRD5ihHNvDmcm4UD72DViSEoShXqhjBjExrnIkZ/iNfHjl0/G7uN6pgGg++B3yrLpk+lzFvUhbxfzse/i7FpLQzQHjUCvVMi8Y8M/2rAE5fV8DgPxW60N1Abn5ARgjIIN1LcfeE0880REZIUEP6HtpqwU7RMrccDHP6Oc8NAGumnRd0A6uxIdNR1UwtHza7/jN8QAA3/PjsBFtANCbR9qz4RpoALABQDMBNgDYAGAdbHBKaQCw0+1UcKS/LbBoALAT2DUAOG3sh77TAOAwaNEQTQQ8X33Z0BEAHrr705MLskNQBnDsG+IrOGe2Ex7ZObtzL4M8iDbLrk2MR7r3UWabkgbJlZkYvN+QFnZ3ajnDi2oda0Gdc6I6jRTgy1DjpaWxijQjA5ANFdLuq2/Fi+97FH924rycxYQsGNw71y84/ErGMXppenheGADH6jh9p6Lj6dQ2F3zPsj1mQVhClivVR3ZOm/3UqaNlra/9B5IiemzOaX363sPkgLmzGO47CJtmK2n5u7GW/Dh69TXlCzDWSqp7sBwsU2TMMhuI3Tyf7wjOn8+cSuKbaDyR2U0aJ4FB4S5+Z2D/FkN4XE8G5fITx5LxCOqmHI13YVL+B8O+mf1Pgl1Rf7oe41BjfLTMNVaLYVYXa32qi2UojqH3YLP0SD0ySXSfQ7YLKWKOuOSSS2LilsFR62zri09P3bCsONsC35CF8oxZbF/pjXthhd2O5TxUa1fL1tjy4f3pk9FnW+xnKjL3fO0xb6pKofOM/macMc3T3oCrl4ht21N5yfMn3jF9dcz++PEjPU8OyvwxJZZP69havXosIb9H2r05VVR6vP7IZ7U68lhlTcvWkMe0sk1nhdXvrGBiTL+qpet9Cwbw+36sMYBj6rWF8WugAcAGAMtiXLpIA4ANAMp80QCgP3k2AJhY0AYAVe2n+90A4LcfdjUG8OzqOALAh++6ZYoBLLsjU8PUo1BmroSVvOjOj/7tajsosm78nLt/NebAO6bpMYEbQdl9iC1UPUJ1VUFdRLtLZHxxJ5xZPd1tM78pP9O+/dQIpLczrfgB5EEgOB5O9Xd0N61HyyH9WI7MBloDGy7cOhHRCMQyFqqXAmfQvNT9ht3V91mDTpdmY7MzyPG650I+nqykkV3JgLlTsBH432lwmj9a2kz+KG2fisyBk+hmPlNrMfi7DDRgDHEw6FmRGdwH/16ZZTgWfHjt2ZNYzJPBwIE6U9Rj2x6UyyenUxwP3H//5KEHH4y/r7vuuqA7mPKFfHCs7Mj6ZVG0nNlTvF8JB9TbS9tlCHjZsnv1se4QQrPi9XTthvKxuLDcY9GVkUOeFCQALNDVCZT06Z4DDKIaANnjFo8Gtzyq+6UMIfsl2od1rqeNeH1wut7HhOqHUQCINzqG2DZadzu3d34+taz2hAdtV+sz0WOI9Nn2xU6XUecQ7zfSUcMhO77tHFHYwp3bXUMe7TuaJxi3sH7U7QnDKNPIOLRuPf03xKfrgFcv3jrBFlQVhrEtr994cU+LtcfGvLVwYADf9Xd+Gh83I5CtVeF3/FfJDcw37gwTMfxOO5ddTfPiSatd/YJHu9mFyTovpnjZG7RY8j2rMQsGbU537hSxo4iOpwZl/lAV1cvkGAxbahPDZnB+Gied/F+Kxjl2LbqUyWBw6v2QH8DOF5nbFlEJvP9GQeYUAMwIVutzMTuC1gnUitR0saDPvx6gz0Cp953ArtWNvnh2SgycGcaYh1CeLu7OAjmby8TCev1kcaEDgFOVosYfrK5saHLqyUMlve3BUq/4/g4i2dV8JN1KEOtuZhHzAsS7udKPPPJIjO2BBx4oZxnDivOiK69KqQSwWC44saaMN4PPTfFvCefSqyLG1sWQcegC7PWHIWCGb9acurD1OVbsVEtvORiaqGNgjiEVw6qBAdsb1sN6ZB3POIbhA8OUI7sCU6/gQf0tMl9Ig+nUjoKrl3V+LmF6wZ9G25retjz2LMifZRQwi2XUPsPf28STgDdmtR/hPdtoTFh+ezwci+kBSs2PlkktZ708e07H1TBKnSfrHKebaqY3C/Rp2fveE9zZduqh559z1pfF/+m46GOoedI4Huart7/vJ/FZA4Bz1HEL2tVAA4CivwcmsAHATp8Rk2kDgA0AKiD1fjcAmGpliJ1rALCzYlYQ3ABgtyA3ADgfPJt/2zZf/Od76AQA7719WgRcqVmP+RtSO94IPvRq4ghUcHxnDTcwoRrjjSICcgxDFlTZXeOKcTvN6J0OYsMJ3baR86K7To2129l2fs7g407l0pblsW4CFpeTMcEshkBOzYthU36mfQbWxNJsK7wn2N2KOMTWaG/xi5Tf7F5B8W4srzriLocQdgtqNOqw7msCA+gZmGg+FoT9okECyrqWmTiIdiliw+HujA9GC+HAtVhEuIw4cij5SiOTcemll072BTcQuOD2hXHvCKdJqDuKUiwxmuHpIGAAVdQ+lgEcw971mLrcN8Z+Z60QvT4+1faBaSZTByaGixjjQp3wPRg6rSPjibRBAAAgAElEQVQyN3CFQtEwAAENaMgK7g1uqjxXM2X+KGOhviTMZjq//UvJ+mpyb2XZtllzI+cDOy9YsSjLtiBuomqMnD7Xk0Bm1Y/OESs7d5QuMMS4jWGXwezq8WiIHOmxb+Cdivw9UXPNJQ8zavM55MTb9nH+22PBPVYT4Zd6RoC1GPvPh+pTQ4MBfMeP4BTYxgCOq90WytZAcgT9hVsjAKxZ/naOQbpFMEYkoMib2BjfojhRjh2cwK5Y/qoVcPgtSmvFr6AFdaYk68aKr6cf4lgBF4tDmfcj8KqsA8vbRV+Leelk2SU3aTKY1gfsiYsdsIsInniysxJk/ntHrMVzbJMeEd/HcuRJv6eTpyamVevjDjh6YiivTWvPtDmCi+Ze68CLYu0Cx9izjiboFjGxu4gsJKe6vBZ6/he79AtIZJ2Lv8Loty+rNCANtV594Jv3xajhP4zOZHfn82KjE+Qs1l0OAGsp+wk8GfyOUacwDo+cjeKCEYxqzmf8K+bKWwGAY0Ed62iIoUI475ze2veMz25KSptIP9fyUZcSwFkdTxNgY8HHWatxTAQAjuuC/fvEqvrCAjIB4tlu6P+MY35dxvkBYA3c1Bbx4A01lsWCCK/tWYdWlO0BEI1Tj8QcAwA1jDXmwDsPnG4LANCLW8Na5+/Io1XtUZ3D0pfy3I+86DN+W/M8QD1drYs4n8t407ob289r9a1zTx3kzt+n5gGm0AF894/9fWSliYC1Qdrv0TXQAGADgLGzNADYAGADgKPnzSkgp182ABhgaD48QOuiAcDh/tUA4HAd9cbafMFbaFMDSQT8tTvqVsDmgzNrSTSmotAyyI2Pv7Ij3EwnHkxdhe0xbypsn8sG8tNFh6HjO/ExWFLiztBs0kpZVCwdfq9ny1bdVfY74jTrd+jQEdeat3bKx9K2JALWulVWL8my+4Ykm9Gi1mMcp8Om/Hq70sXqTrkvruq3Y22hswxgV0+JCbSmMCH16a4RWEMV8dpd9sKi7wfQip4pXg4C75jGsSOHC9jdFQw8KL6FYQctImGZ+rxrnhPD99pbRMqLFLtHpjXXKdhEhpGj0kpYLIqZOYRPwQ2pzrEMoMdsMZ+sxF5dOYYmNnyvH3uqGBV2ld+tr/cXfGVrEAb/VnUDWoWiniF6Zxha7oIVJIDgyST3fv2+zngnGOnAghgX/lLUDOaQTJAyZx6LM/1sfrZmXgZwqcJqz2Jma+oZ1bGXyXb73oqd2XasZ7SRWibbvq/fqx9MZeoYJ/LMePGb7WMNONT/oc0vwnplRF1p/2LdlZNvzHs99q62ybVjT9OojRVv/bPPrFRqapI7ywdNBOyvZmdZrd9Rn2cdQADAvhWw6+YlSme782NLTcmi4Q3aJYgtZxwrhXcKAcpxX5iTPTDozNXra524QsW4vR1olDSnjzn5xMGeU9eJWAcz8nD8RHJloJODhu8ms84lxq5gzViOboui7wx9SpksFJouGGqmpBMKZheLpXjUl6dv14G6Xo8OLjtwTTulHrJQHnrfpeK7mu6PKxE+d90oQYFUz1ImAMGpRXJRzn6OYuTu6n2bH7Pfoi8eOpjEit/4xjdKvFdeeWU4DjE5bIZIcWf2phEXoly93WIcNBizXt/pIIY5k50779m5K55bHEsBly9Z15CSXoidWA64i1nZlay+LRjxwCBL5+k/8Z0LJLLemU1n1jdjw3b5XOoZT/G5Wu0qAKQIGECPoBvvi5sdHq0XMlIYkeWlyaOPPhqz/dBDD5XvYDGM49RwAVAqGLRltCJBfT9repKu1fs5Rl+r17brXZ9VFQ5PzMpn1I2r5cE+PyOblFq8mu+aWxZbd/rNtuXu+EBvQ2zBJoG9gkzE77GETNeeszxUFg/cWVCrY0cBI9tIAbD+tu9tndc2AlvpU/MYgRwLOoBv/S/+LrLTRMBjB0gL16uBBgAbAMwdYgjgDb3v+lUDgA0Aojc0AGjAfQOAPT3ABgCn0UgDgPMhtPl5+/niP99Dp5NA7kkiYI/10woAs6YiCfX7N2tXFPiBnii0sHqeEUiIaJPOch1rX6SD3aDNK5SfuUusMYD4lt9R+Ry7t7WsxR6V+zPDaXd1lz4rH18V3uvCxvyUyQxOf8Uqt1iVYDvILWHvbwZW4dlqZgitKKHsfgdEwPXOqlbCnaicTFncxUuFejta9eXo7cY17fkAYGyV+HmPxUMd6YkkhuRcX+yMQKby6/i++8Jdd8U00L67du2Kvy+//PLJAR7TJoAlWiCupiPdem2R86CsYLTAzvpOq8EIZCWwI+kKbK0YmODJIqwCyQLDAGV92pl1jQ1k/VoR8LQos98LFgR08M2sb5S9mSWa1FSWl/tGAbYfWqaM8ap6QxyHYi3NODjfHD99qjC0YIcOHToUg4DF5W8wiGRxL4Zj73BZhkrZVS3fhuc70hbE/Nsu1ra+pvul+K504vbq24qAh9p7Ixs51VipobZhn59V9E0xuBsS0yIfNLiwDGCZr0Vsy/6tjrwRh0puGB/YXhUjM881cbe+17QtY408eM65wRoqG6jiZcRt149F8ck40JXK67Hthg+iCPhv/z38bAzg2Apu4Xo1EAHgX9/6kQgAxwzmYj0rFlY6sPherVfXsBjO0COy76j3owNRwyBuTgJM79jxE8HGLq3QdgCXgRoGNuPhQoHvF4J4CZfmOcYjomF7AofWIuqtJ8LOwHbNnHhRvnGskmviJEAj60g7xkMLbDmhJAHf2XuihbXOhUM369TYvWC3GIDK9DWbDcRpIzqp8rdO3HwGEZdaf6o7B21jO9nu3LU2OXIkgQBcbE/8/ta3vhWf3X//NyZcSF72speVNl5eSfmPbZ/bCvGvr6cTUNB/dm4k3TQFEFAWiM/CAqhAggB2qWflG+otg4oa6FiYJJGge15yTtu+Q30V8SG+zfnX/tO3RO7ayhuD6tYJ7xVwqMsgpxOUR0OgZNaiNhZkWqtQ5hNzBeOAxfAj2Vk3Rcs4dxhAHxcAIi2GsZgzDvQ/xoGNIfsg5yH0Q4pi8ZdhEd9Q2XoOslemz2WeVa/si16Y2nxBN0ND8fJ9Tad01vdjRN/6/VbSwH5U+7bOJ+pUnPWrFsW6BnnnLOu4H1tPDOdtkJgH9A3mDf2VYXU9UpCoaXvjeKieT4S++l/+9D9ANA0AztuQLXysgQYAGwDs9BSnBkUDgA0A9v3WefNmA4D+aoJ6aQCw7/5l7LrbAODwuGsAcIjuGNvbvnPDRQB48O7bJnt27+pZgXmUO5zXBuot1ZZquKpIk7/Fl9+JoPBeWAuxECu+mBAvRWNwGhtEadz9qgNQdRZqxbD79h/oGMxwoodaoelvip/1DEwygHZnqMxNMAWIefJ2ZTUGcBuOEXONbvXhGC2GihU1msEk4J+E23XwxUkSf1YvcSS75WERiqSgwNaZsijoA2xL/NawHhvIPJ0+/cRk+/aOzfzc5+6Irx559OHJ1VdfHX/DsIPXjh3JqqPnKzGamvis8fKZXOeBguuzfblshd3rGNIzp5Kj33R1vg/J4sV4xBJ0e2YiU/COQ/YAFeNQ/2XKw9bYggWKoabGa0rPMlhlXM3R+LMMU7w0PEbI5sP+G33G049S1h7sXXHKHcTEuL75zW9GoxFcYOyuvfba+BusINkaiJBZbhiSsI4ZF8JRbQBWy8wH37OqbD9Bm6jxi+dEf6ia53ELEuMy/lCH4t/K+yFmysa5lWPXJmEO1zXDExd7bBraQA04PFEuwqjxEdtbJRQ0JsIztiG+4W88Z/je+iKFVzUjL0+oF32OT/FNb93J66iVhiEM/AB+33/13+KzxgBupSO3bxID2ABgWuwbAAQiGG/sUR0/DQCGqmkA0AIj/rsBwPErTwOA/XlZAV4DgA0AjqFPxo+2py7kG0JSvxDul4f7WeF+b7j/SJJHuX413DjpGb4pPhFuuPy+R8LA98G/Cvd78mrz++Hvz4U70WfjrmQF/NXPRgZQdx693ZewczjtAJf6eioGEHr6hDIOu4M7lKxLthF209x9cYeEf6vuBH2DYYdF/TDo43BXFtMz/spOnTrt+tzDTlL1Q/gdy4pyFrcz0Ksrp3z0mZ/Fpazcb13TsJ49/2nwrZV7aE0xuXbyiBc+eFObbtUFnx2sMYGLG8n1SP3qp7GQ3caM6045VCgzFy6PtbHHgTHu6DolGwKgrT2mge4blpfXJp/4BIZFOi3ipptuir+vu+664gsOIIws4UY5rqJ/KknZgW92Jw+gb2wT1UefncrxqNuN4O+lnP7R6w/FOVu/GpUBVBadcfYMh/KnuX5KRJ6vCX2m1lIOa68ibsRJln3oeEctiGV4hvT6ht4jbo8B5PhHv1BmR3W+mC/OJ5g3+PvBBx+MjCDjv+aaa+JvsIKMD/2Lv3vsXZ6/UD98j3lKw7Av1fK2WjsyZcbgmld/Tg6XGTVk52XzRkVqAllDljFxnDzTzee6Mbf5ZT9h3+ipbAgbaJ+rYYpKmTgGVHTPNiALjDCaJ11fPL1FlTr0dGxN/hBvlCblcapGM0lHOU1KeI4w0Ht/zbt/BI8aAzimUz2Nwrwr5OV14YbcCsDNAkBodv7DcL8/3F8L9z8J93eH+4Xhppzpo+E3wONPhRvo5LfCfXu4f3SOckYA+OQ9t0/2XRh+ZmvGKI7lYhEWHC4K6IA7sq+0+D4vRnBqiwsTLRdo/OYggghYzwelcrX+LY5bQx6OhXNBcamxRxQPMn94aRe+nuVtX5zGNdATS8ZjZkWRXsMqIF5ZScDJnTCNUYdnEIJvPTCobVVzdK1pWhC4FKz+AuyoNHlCn738bIjDbPer/p6qd8ayDV9hCzeC8Ys36evEpsCQz9Ff+Fsd+ULUBkfNuKjkf/jQwcnNN98cn10cFP03s6jk5Mnjk13ZuTDenQyWcrh2yvmlJR+byegjdac+5FledI6vo1HPFOjKYXsAq378XUlUDWxUdcJTqeAz9FW1WC3fOVbmKJceq5jDWhGz/nvNMfrxAJvW2bwiYG8MDYmA8V77lM5JrE/MEexX3GTiOy722qewafja1zC1TmLfeu1rXxt/A9RxA8q4FPQh74wPc52qynjgpCfOO8d0hdcuOJpwnmsrAHBeVnJeX4bI/2IwmLH91CsX88+1xm6ce5v/HIG2oQJDBfBWNMu0+RzpWcM0AjOGpV9LBYDoU7re2DLZutX+Y+eqo8eOT17ylh/C4wYA5+n0T7OwWHkUAGKagBnjr4f7n+e8ooEfCff7w/274X5BuL8U7leG+zM5zDvD3/8Ubig+JTPI4asBwFBHDQBqR2kAELXRAGDXJxoA7Fi/BgDFOffw+hJDNADYSaEaABzZaUYGO8d7qpGpnttgFgBCS/mr4X5puO+UpG7J/4aYF+6/ARD3y3tYZ4Ad/Fvh/sNKFkFjqQwQx3888M07PjbZv687YB07Fk762JHobpuHsyOM3VmD0aMHd+y2C82efVONrbal8G25hA0hm2Hp/LhgL8P/Xu4OKso1R7rRfQpF0tU8hXR7O9BcBm/HHGl7z2ehMpaakDKGnqgwhpWdfC+MFfkqc+Udqoa4uswtRLJ46PJYhKGhpt/0vycrzN04xTXIBZhiFe0xZ08++eTkS1/CHmcyOXr0aDHooBL/rnDqxulTyY0K+uiu3ekYPb1wEsfScjbeUfWEEmgWS5eYw3r/yG/EqCNRrRKnsnOxGYSli4UXv3Aq9iVrp30wx6UiIkSnfis9tmBFxp6+r7ErXhysg6FvEM4Di/aZjqEx4WPVwfenKMRrnpSBZNwq4iOrokwevlfRMdUJ0FfpUuj5z39+TAauZKiuciIwyvwODA+ZJ+SBaasBQa8+gzrK2Vxj6n9hTn+GNXA/K5/ziqW3UmZlAJVZ0/zW2EuvnnTNYH9iviwjZ0XOPQmMY5Sh5dO46J8SaStbqGPW1g1dFtXyqHkGA3jDa96BR40B3Eone5p8YwEgZBFQbroi3Ml8LV0fCjfCvi/cvxzunwh3mqG6C2cl/Uq4f6NStg/m973XX/30n/SsgPFSRRtq5XThpZembzEQKC5ynCdHvboMXM6cCZ4ABcRYWh7v9L1nNYb3RWyo1sh5YV8Lg4GXxqfgrCceyL7/bD3VnFvz/N4YPpel5nCaz6cmSqMnaCewDQUTOWPWAXNJM4tf48LYw2bi983pBEuuzmDdD2BvgRhpILKx2VnI6eSnwI9Zw6LM/gCRHBz74kJbP/e5z42/r7rqqrKZoD7X8uK20AVpwduJjhG+WOcty4FzItoM03Gvr7C/99vjaArTE+vmz6JunuMfEel5IlmCwp5OH9CbxMccAfTxuEXHMnhDy6EAMYT1wBtFgnZRrImWZgGyMQAkVdm0BqE+GzIC8b5H2xT9RBHrop9Y3TvkQecYzhsqIkYaqvvFtscG9t57742tcdttt8W/AHpveAPUtieTZz/72ZPHHnss/r7wwgt7fgWt+E7Znlgvjv/P0hErPzTOWhtqnc+rA7gVMDevTp9arg+Vl+9PrcpRj6Y/KciyoNv2v1qfZZ/Ae9t/1LhE9fCgGuCNG82P9jtvE6L+LDnv6F8ed+iNIzsuoAP4xvcCBjQAOLZfPR3DjQWAHw6Zx6oDrc8aAMTM9I/D/ZuVgroMYAOAXW01AKg9x5wn3ABgqpwGAGfqZzUAmLpJA4CpHhoA7E4WaQDw3EKwIbnUuU3t2xPbUykCtiWIOoCPfflTU1bAnr8jGImcCgr5vLjzUUu4sgMSBlDFmUOLA+JepAgYCy3ZRVjUikK7LcgS/H71doqZhRDWJYoB8oc9RqLSi3qsJY7xyldNDIzXysYtRv+GTuRkAnvuAKPvlJSCtSgu/3bEwlUr3XnFTV4l1JnB2UNhpbSVxxZAnAZRWmzr0E/+/M//PP6G+IOsH37PWjjOnFqfbNvuiLOFFVOWZ9sOT/R9NiLgzABKn9tYPdU71YN9jOfEWDZCT20oYaOUuG/EFOuJj4J1tOuDE4F6bGX+QP3CiRHIzDTMGKmxhewx62ZcDo3xGqvFPuV9j3dkADH+yCaj/5DJw3dWzUAZaBiGUB0B8dEIDawfxzQYmL17oRkTRL+XXRb/3nv33ZOPfexj8TdUW2gwAp+BasjGtL0j7RD/VvwAjmVuWXfzGoFshQGsiV5rcwJZ+9lzRv+tzqNWouOlr3qGui55bGGUCslYsSJgK5Hiey1HXEtkPKXh12e+VZLVkz6J0aGdH62VsKZh+wJEwN/1+u9D0k0EPE/nepqFrRmBwAAEen64ANQg3n1/uNUI5BXh35/NYaAM8J/DPbcRCADghRfs7YlNvEGmnd4OStap6umUDrvYPwLJG3D8vjY4h9rM0wPCN5rPnsi2pp/HhKweIcVxjruXGmCDNWzvmuMIuKpFcD76rW9RnIDatOBNRKB5tV5aqu2ZHLBX81FTtTpOpV1Y2Fkc8mJCozUcdWLuCufyUpcUYpU3vvGN8TsupratARg8dzKqE6oT58ZGsu6Nz6baS2opbggSkFNREH6vLE1bCJc+1pv8w5FPuW/EviYyOHuM21RW1qZbbMq63VTGerA+rOp5OfpfPL6OZSx/K46nqTPoAcT4zCx6iM9aDg8BwCERsOZVi6/AUcVrCgz1WEF+qx4I+B3yqEeKMSxcfTAdHiOI/kvLYLiS+eIXvxiDQzf1iiugqTOJzscPHIBnrg4IqMNz9MWhs9Ztv8e/kfdaW3jAfF4dwK0AwBpA9/LPMtTe1Z6fyccy4r0FZF591DaLtbx6XgiYF13nNH9DwNemVTZ1RsWJz1H3xfF6Hld6LGGtbvg9AOALXgeHIg0Aztu//qbDB8d4k+tzJj4X/v58uP8i3AfDDUdVcAPzS+GGgP++cMMNDBydWTcw2KL+dLjpBgYWwXO7gWkA0OkODQCGlWwOsChV2ABgqowGALtOoYtjA4Djl58GABsAtL2lAcCuRp6pIuA3ZcBn2/a3w4P3Y+0I96+G+wPhhiPoW8P9M+G+Wz7AdvNfh1sdQf9s+PfcjqAf/+v/b3LBXmDS4WteBeAYo2EAh1ORBnYYN1cEq2SKfoOadFk7ycUIVm9TGJNB58456t6iF/Jh863/Btais+L+jrc7TgphCnuamcDoG5GjQA08qmJkljsYj2RDBogqyqHpsa0SG7i2vjpZzg6w+8eydeLU1aysDSOZpSwmP3r0TBGjHTx4cPLRj8JlZTBRz0elvfWtby2iXojkaszf7H7iGGGUDzzRbhe+L1bxn7NufKV6OeVDMgl2tYA+7OiNUQ/SVVC4seaXQdO0rEJsf2HhyPhYS0l+t5hZ5148ajyC/DtsIPIwlXYI6jEqq9Y5tWk4twwzwgwxTJah8Zgwr+94YjiEw3MretPvNT3NG8TQNBS55557JpdlkfGLX/zi+Dn+zXEDtYede3bH5+jzZC3VRxzzgr96HJ2KNPX4MeYFcRUH6nN6XBiqa68et8Iazh7L02+twYzH+ulXngRI29WyiPPmZyvhh5jwofdDaTYGsJ0FPNRHht5HHcBvNwBc3MppEibnU6DPAhy1yrSiVgfg9QbfgGg2EmGOAYTmyQOFceFw3MMMOYS2CxVP9fDE2cE2uldTG0OOYLNblP6iJm5iZDFEu1GMvRjBZQq3tpbcl6TFq0v/xImkH3rPvfdPvvzlL8ffyPPrXgef50E34dnpbF7ESbcau3elRXH+S1yoVD/ugBrBtRWJduChOwkE0S0FK+PqFVCcBwynPM2wT3aKp/0os6g6PpQw3sLgivaMHpICIeZvIyNOvOOzHoBSvaUABLXvafjYlsim0XPCc+gAzlqgx4CMoQVeK86G9QCgu0mcYYWvVqE2PgsA+R7iO+oiAoTxlBG6L4II+cYbb4xZf9nLXjZ54tCT8feePXvKCUfqUBjvKJbmZgkuabQsBI74y+cQUVPN4viRbL0+ckBtBcxt5ZuR2SnBZgFABqr1GatiFPuuEcPOm59zFX6on48ZK8xLA4ANAJ5tv2wAEDXYAGDpR7prbgCwMrwaAOxVTAOAyUClAcCzXY667xsAHK7LBgAbABzuJbNDzA0AhxRhveTOhgEcs5OPaVq/bFYMnLaBJXvWcpG7xJpvv54fwBwLSRubR05eU7s5AzSnyiaOYt16DpmzannpHGPx/adWqQ4beOLMyZh77OLJGmxbgRPlVJqjx44WVmPH9t1RDIwrurQo6XT1eORIOrbvzjvvjDeuV77q9UXE+6zLcVrht+OyDGDNojf7CpT+sZl/15gk5HZ5ZddUpvs6fY4YOPYvWp/r546oNxpUyBFybDcxtPBEs708GPaOKfb63cK0iDv29Sz2RVi2ZvxdjOcdltOwf4UpQ6kdC2OPmasxHEPMiNZmj8E0aTPc6HkDdVFR0meeao6IkRaZOvym9TDHFSyKOSb+6q/+avKWt78tZg+sHp1Ng0GkZTLYQIp46VAfLCPTsO+ZPzCNNFi5aJ+eDTA87uZhnBjbU8EA1gxmbH7573nXpXnDo+zz1tUstQJ3rA43Vy8EAOCNr8UBYM0IZM6qa8FzDTQAKF0Bk0IDgA0Aoks0ANgAYAOA/jrZAOA4/NAA4Lh6OptQz1QjkLMp87n8tvgBHGsEspWd01YZQJvWrLQXxG0AmL6hUzp6jIMwg7U0Fgb8ALqGJqGlrD+rXuNZRrDniUVYPenl1rNMv5zBZUROoK9H2OnpLRTfeTg2LjFQYBjoPmNJjECOHT8a/EPSOKjLz9e/DsP0cAj1Zz4zwZFtuF70opsmN9+MQ2xwwtnmZNtKp0NH74vlFI/lYDAyp7L6dKefTwew+16thcTfXqw5ZfWmj5arLIfmscNEFuas74JmQnZOWT/89o6CqxhqDE4G9MBk2UL+W13HQKdwtXN/Y62Yp1zU8NvQjz0G0DumDvn1mJQhBrDG/IyJT+tonvlrKE96sgjYOeq1stx4zzjA8t1+R/LYBRdIHG8veMELJtdfnxxCgA08nv2s6qkn1DPUU0+QHgEG2EKyjscOHxnsEhpgXlYL3z7VAHBW27MsXrvOar95+sGsNOaq7HMcGAzg82/+XsTa/ACe47r9TonuKQGAngHFrAquWRrPFOsEwwR3UBswWNIV8KXfbXoWweEjPZLNi6M8q3wPIDgIaMWyoJu8+v75CqDMyC96ls8AEXnUo4iSeLif7qo8W1mmNW+HMGHRWY7+C/HRT9XHP/7xyec///kYH60d3/CGN4WjsZJhR/9amZw8lUTNWPgoGlPQR1AY7Ga3ONYcH3pTMXli4ZqouP98U47M7nJYS9MDfRWxr+ZxIR93NQIAlv5QOevVGqUU0Zj6v1ZjFD17WJ5vZItegL+a4UksglbFHABwzGJeA4hjxMes3nlBCsNbAyyOH29uQd+mqBbvucHh+OE7xIFNFh1BY4zyuLnPfpZuXCeTl7/85ZPrrrsuFoHjTo9PtKJqgkSky7R3bQ8O8ee4tgIA54g+Bp23LeI3ZloY2jR4bJsFgPrvrXiz2AponLeu5gnfAGDTAZynv3hhGwAMtdIAYAOAyv4lfINTE9PVAKBMHUVXUZ41ABjnkAYA/eWoAcCzXab97xsAbADwbHtWBICPfumTo/0AbmUXtDDyDFkWxtudDbFnC+tnXPGnimZ74lL67Kj6CQRl11XvZt6S1lhGl8iquKOpGo84LjZSnjsWkOlzhwz3LCVP0Xl1FvfqKRhgJTMzeTSLmPbuQdOn68lDhyY4AQHX9m07Jg9+64H4+9a//EQ5+P6mm26a3HTTS+Lzfa6iuZysEETAnei4q8Mz2WcgWA0yf+sb4ZSPrYiDN72j3YDWxjF8KVd1FnHTuNdJ4VPc05xlsZzoCivh3dM90NZLp3O0RjTsGYSo7z8x1GCCym4oc7exOM1E4r0yij33MFn8DAZwytWN9k/kgXkSABhrNT9XEbCXT62sIWZwXhBRC19jvJQB5HjSvx4zCAaOoleUheJbAqsJ3uwAACAASURBVEH0c/q4jOLb3HFwIg6fwyUMXSbdcsstpe5e9KIXxeqBT0E9sYT5h3iZYmT8Zv42K74lTccs/9zKfF6Lq/Z83raLIy26u5wen/MwludaBDwva1g7nUrr6WzqHwDwhtfgALAmAp63T7bwqQbmBoBbqbizAYAzxb6SmcXNTncpPq45dy5Ok9VBX45ohvPkTUGPVRAY05VMReBl/t0f/b3qrDkzVRGvzNzppxX5lPL1/QN23yXgdOjwk+V4q5XlbZN7v3pPfP6Hf/iHk107k2++d7/73fF8Xlw7d6qj8DQxYwFcWSFTFs46zXqYC0GPkIshykRwSZEzQF9ZyES3slcZQ/+oAcDKd53upA8Q9Qg3RNH3pzj9TU8/LoPOvjg7elLu56b37xDnYgaACkQFWLnAUc/dhRhXwKLq4THhjUkaF9oNEa6ARBEpx2c5vigCVpExI3QYwOAFsFfOITCngccu8lsBEbYrjAUEY0EGgBfFsBDZWgtezBMcB7DSXcudkCoUyB8cpRMM7tu/f/LgA2nzdfvtt8e/d9xxxwR6grjgS/DKK5PKBfJInUM9KnHeo+DmBTVDw9J7v5W203OTz7Y/ef1gK+Ue2y9m1ZG3kdDw8wBCAMDnvfrt+LzpAG6lY7ZvGgDsrY4NADYAmCeFBgAbABxaHxoAHKqh9L4BwK6eGgAc12fGhtqqBvnY+M/3cE97BpANMCQCnskAej4BvZZVka0Bg8EpxtQXvTwx/DlgAK2yd7DsSGnDr19JJyek4lMxJui8u/VFKQuZ3QPzQJYBxh1kJd7x9u8NB9w/O0/c6yHpxBji9A8qty8U/4KLQbk9GXtA3MWj4Hp+CQM7pMdeIeyysH4QC6vF8OgBt1ERAdsIipO70THHgMNaC5442DKFsxhAtOeJ+TKVVtMe61d8BcpzMBXFCGQp5SF6KBQxchHvijgYjN9mYLJi+MhE5uz1RL+UP3dZ52kx8xem+2KI5ZkFIjzWpOaCo8YCzjIi0PrU39E3Zh6P+J5xU2QLS10acYDlo39QsIEMCxEyy0a2ELUC0TCuEydOFF+CX/ziF0t8UMkgMwhRMP0ALg+dBGQaiWP6bNpu6NuzBYBxPEofHMsaz8rXPEwb45m3HEPSq6H3Q/XaGMCmAzjUR4beRwD4yBc/NVoHUCMc24E3g/3bPNeWJiVZsYfAYlzghly/GACoYq6x5VZXDYtBXBQQUqoGTmZYbPkbIG97dp0SFnOdbHRx4nNaCcIScc+FkACEKywEwey2SyOAMlwbwQKR7lr++CP/d3yGOr7hhhvi79e85jWThbAQxaydPlV0jrZfELpHEPPGa5aupG1c6CE6+jsKDPlJso6eFlcrgPX6zuKkdlTbNFDvCmBjqoX1UjyLb2uqhj19RQWP/ADPrHUyxlL3vhtb6KGaUPq9ueroAEZJb0LG6uR4wZhedmJu39E4a2TbatoExPQUfDqua2I3mjozDxkxepBT1d3f688jjquBh97znN7U5iuXieMOf/nbzlOeCF7TqIFM/c7GgXF+AcZhuLCRAgjEBRdMAIe4XvjCF05e+tKXxt87diddXoBJxgUwybT1OcAnN2fefIO68PK/vN7v0GPmW+0ftmm9tlw1/q6GAKCNc+jfKmIeCsv3Vmw8BEThOn/ea55+HQHga5sbmHnruIXvaqABQCxINX1B6SkNAMaKmh477rMGAHsV1QBgx0iiGzUAWD05pQHANHIaAByGKQ0ANgZwuJfMDnFWAJBRDzFiTzUDiHwN5UmrZUxY72iiwe/AwGWRGvyrDYoQMgOou0CkwZ1n/EsWkcArsH7HH3ssFieyBdloA0zgp269NT6HiJfHSb3vR/92fIZ46Z9vd1A+L2Lm8B2MNHAtgVHM+a871p4GhTAC8S41pOm9dwxBts4AImaP2avtxrfKAs7x3VkBQNZUYgLTWFIGUNnCFFbH25Jnzaz5CYxWERcHFn09+wGMERmfg9p+2kdX1k51zak+DUvWHYMY20Hid/mhwx6vqqN3+bbGmIxh2xgN4lCfmd64nsXSxTp3GW+tFt9QxjJbNh6Uw3MKjXAPPfRQTOBLX/rS5Gtf+1r8ffmzr4h/X/3qV0+uuuqq+BvqHmQLL7744iJGVgMUiKjJaEJygQvSBc5ZEGVTnL1wpm9wNw8DqM0+i0GbBQC13Ww3GvvvrTKAQ6yfpj+vQQ6+nUc03QBgA4Bj+3stXASAD39hvBuYXgd32B+fTau55vCztRULLVXa2uqENOu7mSd6VAbuAk4CyJNpdNicFwlaCy4QzKEasBBvyyJbWZRRF1F8jAsAkIAy/8XEvufSS+Pr9aNHJx/60Ifi7y984QvhdI7kSuJtb3vb5NKrr05x5O+CyWL4R1qU1kMc6niWi+FaWHRZJ1EcZDCUrS860fbOTdbJzepTEjDa+GeBwLoIWPvUtxMInksAOEt3kO8IANFm0+LiJP7tnlMcvKRBPbZWAZsFqgQ14jTaE3MuBhdMPZG/811pFbxbz2UR0GStlO3MYDdPQyJB9k0VSeO3dzoJnq9R9zHUkfZ5m48hoKf9fNa3Q+JifotxSeCFeYP5h54hgWGaGlJ/vPVTn4x/4Wh69+5kzf+mN71p8rznPS/+Pnz4cDl7+KKLLpocDXMGLxVz4xl0C+nMGmlRR3FvcBXFqwZYhlRshtrvTN6EDtX/mPawceDfWwGAU/OdAf02L1sBgPOsfQ0ANgDo9e15njUAKLXVAGAy5mgAcMwQagCQtdQAYL+/1ECRB3qGgFADgP26tSCrAcCmAzhmtm5h/BqIAPChuz4xtxHIoPhT06s65/UzNc8uqMQQxFfz5MmKWW1OpnZ72UJ4njQgSinHqoUdevmWTAx27bTMDDv9Y2eSAQeUs5fD+Z7xCmzg6ZNJyR67cMZHJ7Bf+cpXJn/5l38Z30Ok8/rXvz7+/p43vzkZheAKCuFkC3DUG9NgfvSYKuz4mQZYhqWVaXFu55ewTwkyPj372TsCD+mTBcQ3nU5YsKT0JLXykD8Xp0SbFUBG46Ae+zVGOXsswBsbLvcwZdkWjO/KrjM7A0OpPGUDGdQageTnPNpNmK34hvWxKUYi6Isqji9MXs6nsoXqjzD0k95VfAXSYlgKHdjEDbLQ6Ac57JTTaacG+GhIbJqKl9pYGUA14FDjl8gAquh7ZNo2mMccjhHpzQIx+J7MHPLIfOIbPXKOvgSPnUyGIfgGomFctwZVEI7/V73qVUUywG8QBoYmjI+sIKQL6tuwqKI4hkUzqqywkzbMLPCrIuBzBfo0/a0wgPr9EHCPfbBybONW6sr7pjGAjQGc1ZfGvGsAUBYLrbAGACfRGrgBwKFh1ABg6Cj9SmoAsNRHA4CdeLoBwKG5pF5XDQD6dTdmKz9c69+5ISIAfPDOvxzNAM5i56oi1KeIAfSasZYnPfppFvAr75bqC30tDey6yy476Put54WS+nb4jvWJHeXyJRfH5M48+eTkyJEj8TdO0diV3UAcC0dIwf0DrjvvvDP+xc4dJwTggl8w5gX6OtQdgi4Q9BFxrWY3MUi3uLEAW5IX7ciS5FEV2TkyKdFdizPc7HF3IY1eHwEDJ3EgDykeqc+eVWh6PsUEmgee65iuHb22qpyMMperhlofmBMElozWGEDtkTULkhSmc/0i+n+im7SYTwJJbeDSq5KYuCWKp4JkdlAA3eZGyrMyIItZpy+/6IxKHDcwCKMMIBOPJ494/YsBQho1EaqnT8e+PZYB1LRVTzDmV3RytewY37N03ey7IfdWXvmRf84XSJtjGn+ZT/gApJHH/osvijWGtKi/h43c3XffHZ/fddddRe8P7mHgAgoXDMJ4rJ3WZzH8CG3DfCzOyWx5a8YQg7auDLPpb+wSWxX/4vuzZQDtGPD+vRU3MDIYB382BrAxgIOdZCBABIAPfO7jZwUAB8WifwMAcChPNRFwVX/HATpDaWCCXqEYNkzksKrTiSJO0NlXHwDYIw8/HN9fdkWw5Msi4G9++ctFxPtweH/ttdfGMN/93d8d//Lf+B0BGw1GEC8X7pAurYB3XJh8im2ERYF1sCRhkUdO2CshD5vGH1fMvwBE7V9TIu6YKfwvgy8u8PhbsIg4t+511j6oGgKEvuUvIkzx9Npq2MszfJXMGDrnCgiOAYADIzi/7vsA7L7Z3Eh+HGPfIJbsnWMXQJ4stusw6EAbh76zmNueVsUJCGUH2NGwN0W4LTgjdxf0DBTsO4rGegBJiumOwZ7di1gVi2EH8x37dy6TAkD8rj1n8gq41CjCA5kKzNxxYJqO4lTbHz3RsX5KEAZQR1EuQB2/A5DbkR1HH3ryYPwU4515xgaQ4A7i3fvuuy+Guf/++4sz+Ouvv37ykpeks76f+9znxr+YnzhvRDWRLLrfuzP5GtT6NkV1/QfWwntADj3LfT5gbW3zUfv3twMA2vJtBQDOA2obAGwAcGx/r4VrADDUzKxdfJnoGgDsJv0GACvjaV4msAFAVqRykw0A9rtXA4BdfcwDkGYtjg0Ani10eHp8/0wVAb8hVN8vhPvl4X5WuN8b7j/KVQpfIP803O8ON+iew+H+s3D/Uri/JdV+IPz+V+F+T7ixP/79cP9cuI/N0TQRAN5/xy1bYgCHGLAyuc+j4R0+GqM3M1XGszgJpOTTiKA0HzphjC13FOtmRg5sAhW4+WwJx0PlkzYgxtl76SUxKx//sz+bfOxjH4u/kdb3fM/3xN+ve93rJjvyqR9rQcSLS/2E4d80DsFvpgfmYDEzipuZhVwVNwsqookHy2fDj2Wwl5lJqbnBKSJiaZAFHE+ndanMXyyUiGOroslYumpXnu0ncPq7rs3MuxobOHik1rlgAYcA4BCgNCypw45sbuSTYbQmAyNPFm4ziHmL30AwfHJqD96lVqDbFl/MrEyHMm4c9vqsRz5KnnpsiSsK7gymIrOteobOb3WRouydx+ThmfraI9PlsYW9aqyIrGsgxWP6VM1CfzMdZeHAzjMOjHP+BhtI6cJFeQ5BGU5m4zGwdwSReioIvqOrmD/5kz+Z3HLLLTFZzk+vfOUri3rJJZdcUtJbO9XvU7a89t86Xw6Jfkv9St0OxV+dJGa82AoArEqHZNxpXrfCAA76ipUyNQbwmcsAvgvrebjvCDeAmwJAnOv1e+H+t+H+fLiDl97J/xpurJqvkPb/aPgN8PhT4QZo/K1w3x7uH51jQJwVAGQ6Q4Bo4SkGgMjXYJ6cyXsWE+hNGENpIB/U+8HA5sLCZ/g3xLq4Hnjggckf/V9/HH/Dfx8cueK65ppryoSMCZtgjUAP8VoAx/IvZj+DmyEMF7ilDEij2Jd+CPV8WTCdog+44Og+stw1C9+FJTmnF/VM9rQHBDN4wbMigoQ42Om9DkirSnGnZMWOCLgkMQtgEaQO7THPBgjWAKAX5xAY9E/fW+hZGvc8QKdaiCCv0/WDw/J4RbWNvg/CYKPdaxwCRETBWlKwx8B45llEKhicAj9FXJ1jXhP9xBAfF1przevNSTXQoc/XzyRRuYqJvcV4DJjxQCbiVr1jBYPeb5ZD9QyjT9CsL6vnEDPf+HsqnK3Ni/MM/nIzqPEBFPLcYugAck75xje+EaOA9fDXv/71+Pu6664r+oIX78OS1F3zALSxYl17Wsxo4NjLWf0fWwGA8x4FtxUr4HkYzgYAn7kAsDd+wj8UAHq99pXh4W3hhjffb4b7BeGGjT+eJ6uAyeSd4f5P4b4y3MoUzhoSDQBK7TQAGCqjAcDcIxoAbABw2oF9A4CTSQOAaYoYArMNAI5E42cRbGh7fhZRP2WfYq87BADfFsL8abj3hRvmoX833L8ebt2KwcwTZzL9rXD/YSX328Nz3Lz2hh8PzGMEshXxLCSC81zewLLp2n8vLXas01BY5IV+9laDmERFs/xW/YJFD/y5p6nIlawadtJUssYun6KX3fv2TU4Ez/u4IMpZDP79cH0lWOLh+tM//dPiXf+GG26YvOcHf2CqmsboJ+pHQ+FZt8q4oAOW76KBBpX84osuekcPsveeIZelwaO4zhmmagRCEYq1DmbaSHdKjAxGzGPFYA6R6CO1X+l272ONO2Z1WluerbKAygBuNQ5nZA36GtRTQ9A+GeiA9SuqAdMMIJjhYEYRE8TiVvqS0rYinvWYMP2ul/OKxTDjWFrvCqUso2UcxzIo6A89FY/MAM4zv+kcYfMU+58wlVrWeRiz2tiuzadDJxbZ70r9CktISQUYQVoX33777ZERxPWcZ185ee1rXxt/Q0JBppGiY8yLNB6BF4QiMRBjI9Q/01H/pvSagGfq87B3HGYuBNJjmkxvVt/Qsq85xm1Dc6dlAAfXGbWOrzXYwPNZzGdjAL8zGEB4BP5EuP863H8n95dfDn9/ItzPN/3n0fDvXwn3b1T61Qfz+97rpysAHBxgUgp1PjzmO+rMqDNUddy8LUxcPBcVlnMns5Pm/eHcXOrhUVS6HkAkRSnIEicKgEFOTLfddtvkz4JuHy5OWu985zsnL3851ECTqHhlZRp0jCmLNuaQWNo901dBXyyAB9gqz/ra+zkrNTDj79eCRlr8LoJSuoRRPUEtIMXTTl0xDg8YBoc7lSFRey5ibPdLryzzpjHmiMRh0W+lYPmxgkxHBNw7Qg75YRj8ZhmZz74YtjCEtWJ4FpsAemxjvCfwUzUEcbvCBXBxbT43MEMiQyty3oq+Vr9bdoCYzy0AVL1EDeP9nt2m9beb3tidERnF0pgHCci4gUUdUSyMeexQcEOF66t33zP56EehgZTc0nzv98bTKCY33nhj/HvgwIHovgoX5k7OtQq6VZyN3+rsGt9pWK1HzJNsW4BTOq1Gmrg0rIrwtT+gXFsBgDU3PrU5dysMoO1Ts/7dAOD5DwCxCkFHEGLdN4U7OYebTGoA8LHw7h+H+ze148jvZxQDOA/4aQAwtXIDgAAtjhFIA4BYHmUqIGpTNrABwMq8OfjYY/saAGwAcLDjzAgwxBQ3AHh+A0CAvw+FG5bAbwn3E9JXtioCtt1tbjcw84hImNi8ImBvTAzR8xNjFTAEhLZlcezJYH3LnSJ2u9ylw5Eyd7G7L720iMZOhx0txSJMQy3ysItmfNglfzn48cN1YbDe/cEf/MH4+9rsww8On3nA+v6LL55snE5HvtlrqCyVj/qPrdGLtdJV5qAXVkDDrDh6qQkAc406wvFWLqEYGFAeuafOoUNg2Kfi4qS4LifUoX4WF9OD+LtY8CoY7MlFR8zLqikxK/hYcTDisMDUo87OlvGzeU3GDfaitW/Kfd/YI4WNntjMZwIQe+zeAJMZxcISFfsR2D+KBfGXR8TF37Q8Th8qm2LZPY/tU/Gz997OJytbmKRm5YN9VcPU/AbO0iUbK9IutTvDYb3XDziXxeMns4EYRa8qEQFDSAYMbbGUvQrc9dnPTv74j5PxGpnDm2++efLiF784PsMcCmf1uMAicn4Fw6d+EdXnIsIiHNlHtFUxYhMH14wTf1VcXGt7Lf8sI5DaGmdZY8ZXm5/ntH2cap4GAL0e2392vuoAEvw9LxT3zeEGs6cXjUBgFfzZ/OId4e9/DvfcRiDznASyFQA4rxWwFnQQ+OXA4tVkigXz8qygj7/15I7lMCGuZTcKTzzxxORAPqUD7loYHyc2TD4Eep/85Ccnf/3XkNZPJm9961snN910U/z9nOc8pwBHTrrR+36eHBFm/UTnwWcroG/qG89NhdWl62ax9CuKg6UFin6ePJsVbwiGiavLiwNooqFJl4iKrTadc39jXAbgr/UMjbsTVRIAJDrsFSQXwOanNoV4IuB5RNtjgNyYMGPExChaLVyy8K05iga07q5wCkwGZDFnLng3Zwcj3JKgO3XRQvGugkUV+2pYAD46b8ZpNOLIGUks02I99y/meUjUO1YnbCWD8xrgmgXSbF7GhPXyH9vJiM1rbkFq+Vx0zu724mX6BKU6ZukyBmGo2oK/Ok9yc6wnjjz++OMx2o985CNlPrz66qsncCeDC5bEl2IzHS6AQc6DAJdMk0APIJMAEWCR+YA4mfnAe343LwD0NqAyEOb6+e0SAdfajW3fGMBnLgO4JzTu9bmXfS78/flw/0W44cYdFrwQ++J8r+8P9yPSG/Gedv5Qwrgs3D8dbrqBgUXw3G5gGgBMi2ADgKESGgDMw60BwAYAu5l3DKhT5skiiLHAsgHAfHJNA4CxC83qdw0APnMB4Jsy4LPzxG+HBx8M9332Rf432MD/N/+G1uu/Drc6gv7Z8O+5HUE/nQEg62GICVxfU9apq70aY6mWvzwzE2G5K8UOlc93BcOPE0eSNS/EElSG/vSnPx2fwWkzRblg/X7gB5I17/bA8NHxMsUjeM7dc4hsApEyroMHD04uuygpMus1jx5k/G6AnXMNPKrf9Scg5sU1JOln2kj8jHGLgkxEJv4IaeyJXT7TiwrjtCzOouH15Y51WuBRc7H4HW0VTErCk6351AstPdUW3YOxLOIQwzf0HilaZs/+24pp+9+s57OAg81rtTz6ZiOf9YvAi7YvKTulVsCLYdFWZ8wq1o3ZAbvXifC5qEFE5oImx7FuTQG/BqxKXxVLXKuT1+srwciE15Doje9VhDkG4NUA4qxF3jKAQ4znRETAQ2Hxno6gMe+RZVP/gRqHtgEkIZzLyMLR4A3OpnmWOYzffud3fieGvfLKKyevetWr4u9XvOIVk33BSwIupM1yMj/wy8j8YPyXOTOE51yLOZxtwDxoG88yAjlbBnCUhGYLVsCId+xmAwDw+psh+JvAdzDtA2bMW+ffq/NBBPw32SpRB7ABQBhaJ/DQAKB0R0heZTFuAJB10wAgAB37xkIDgO6ijd7igbAhgKnfNQCYLIIbAOxv9NCHGgB85jKAf5OgT9OOAPBbn7919FFwW9EBTKcKjL+8HdAQE1bTAazld2c4IB3XyWDsQTZQdVH0eCXoyTyZGcBPfepTk7uyHz+6Hnjzm98cd7S4cOQaWT0whTD+wAU2ke4QuFPG7pU73hBgsn44HeQ+VFZbk24ZPSYwZnD2nslz2RcXJK/5JK5+HjqApM83s2uXXljEkQ04wBTh1BJc64GxYrjIPJAl5OkmS7U+Fc6rcNyPqJV4V5RZDNwsBjBWpFMjtbqd1z2MRt030Ei6fOqqhWH9+gjnz0zlE7lU1pQB+rmXfzlHrSnTsrge2CANk5kPVewvYDEAR7Yr/mqac/XjoelE+7/mzfsOYYUBLGVhWOPPrzCYaqg0lJ80sLtQTh/1+m2NxbJsJr+lexMLPGtsoD63fu4wL/I9JB90mYU8kZ3De+vCBWEJ2NCmdNUCPelPfAIezYJe0yOPlGPm3vWud032X355fH406xHu3bV7cjj7UFVpDIxVSll5ak34To/y4/ta3cWEZhjL1Nhc6zuyjBtnro1MHk6vOctrFhsIAHjtq+EiuDGAZ1nN37GfPy0BYE3xeaYYeE4rYE4YEFeQ9QNguzhY4+LaHsQTdwawh+v3fu/3JoePJVEtLNze9KY3xd9XXHFF/AvxLic5TBKcKBE3RSUoE8EeJ1p8x7JiYltY745xGiViMN126htnYqoZA2hUrnikMsnxOwBHpg8M57VVxyAGr2sqqqUFZhQN50USf5eyMYd9HhJdX5xxjq5zTtxSsfK0YKwGzrYCAFEbHgispKH5rOJyCwAdB82xERQAdnDdPcIQ4Do3nEKw5CvRMZwpxhzBZIRnQ4uvvuUzh2YyXSrqjTWU27gnYu71L9f6xFdvGDN1e/4IbZ/yAKA1XkFa3rMxeUAYMWQpn9i8zfi3gr4aoDu91ll919hHfc65DxtUWt0qwFJjHD3KTsW3FA1HbwnhOh3UWR57LNkt4gzh7dlH3+PhiDkFz/SL+gd/8AeTq666Kob/8R//8fj3wIX7yuYZ8yk3zwCeFPuiH9nz1ceKgGui8jKfOX2mtv7USIaz9QOYutv01pvPjgQx/DWvfCuCNRHw2DHYwvVqoAHABgCnhkQDgKiSBgAL09gAYJ/h7FDCfMtJA4ANAM7XYxoAHKivpgM4Z4cywZ+WANDzlzUkFrUirZlsYdyMJ8MEKBRTTItTKP5jcGGA63d/93eLkvJ73/veyStenZSX9WgjPf1DTxThblW91uNbVa7Gv1XhF7vrpc1pVmuoHLb5e/XkMYByHFNN3KuskYqFuBetsZOMbz1YcszDAJJ1WgxtshBOFogXfJKRAcS/me+8I15d6Pu3c+tJGLY6A8gatCzd0wEA9l20IKfpKDZlBX3mj6UKXimnZggwfTUGsM8apVBkMtTHJforw4IB5OW1AxjAXp9RVoN91NUxkKyPPeGixJcjtAyKMsz6mwxgjfXzxMhDImA7/mTslZINMYBoc8copsYGroouDL+riYvxnIZuKtbVo+D4Hs/IFkKyQUMMNYTR97uyis3xwFJRCnIZxLy5LHCtxbjBPP7FX8AJxqQYjOzavmPy/d8PJxiTyetf//oydyIuHruJOZdzsPYvZS1r4twFOa7ShqmxqyqZGiOhOVs/gHG8DzCAz30FXAQ3BnBqkmsPRtVABID3f/6Wb6sOoF1aZw24uOBQRCTndeKZip84SRXfVGFRo4gV4l2KePGMYaBLQmsx/r3//vvLEW047xJ+q3D98A//cDnaCLooe1ac0yUGxKI10UCtZRac48+GxA62LofCe+L1We3RA4BmMrJp8d9Bc6gPCPLizbhiuLL4xgbvqsRboFOn6FXbenZay/7CtCOoLlLk7hsFtUUULTH2tdGg4TfrLGD0BfYHzVfQPyzPO3FqVxv9PtS3zB1jEWx6zhBoCsHXF07Hj1LsCgapn9QBuUWcj8pswBo4O2be5N/4jA6aO/0m1FXpC9q2ml3x69cd92dE/greLOBSi0pHJSAmpX1ENwxDoC58urmYzumuXd5CPDXWtO96EW3mTQvy4+UPTCv1pRnXnzqadQAAIABJREFUKjaF0xbKC7Htp3XMTjn0PfK+4IBIxNEbkznPeiyeN4etS7pjxNIEiTbsLKD2hS/fM/nwhz8cc/Stb31r8p73wNnFZPL2t7+91Cw22hdddFH8N70sQCTMuR1AlSJiqOiwLPDfeib7XI1ntGcgTzCpZxMjbvUxOLOTmJdWp3LMtzX1J+/bI0EH8OpXNBHwmHptYfwaaACwAcCpXaYudg0AegOnAcDNzQYAGwDsn71bY84aABwPPxoAHF9XCNlEwPPVlw39tASAasXF3xCfcmen/qiKUvHKjgnECrgg0qV4AYYdFBlgh3fHHXfEML/5m+m4ZOwgacH7lre8ZXL1tdemOgqsB611AYLWTyW/V2Oof1byuWYAvfTj7n4OJnKekwVs3ENsI/Ox3iP0Omveks/ACCpjVyyTLRPoMSr52QYOhZfwGl9h+MQwpfQpM2P066576TOAytKNYQBTTwgtlLvELAaQvWYOJnBuBpD5AXjLH0NkmOikQD7B9jqzTWCjMsjbpFgxskjpff4kRWhFoZ4Y1jPEiJXTFcIzOGCtrNBSvBtc/NX91f7jiWzxzHmOvrG2kFQP5h+zWUzu9EULiJZKfwYDKCLqXp76IvtNsXSdqKuDWHU5jsAaUty4Wk7B6aqlt6EztcZ32p5FAmNF9/nbzZBYTSydmrRr09ocoioEVkSNOI6fXo8GJLjuu+++aIiH6ytf+Uo5XQneF2g8gqM0ca2HOZ7WwxBJUzUHrB/7F8TIBy7AWQzBaW74TWkRw+Kvis8JYCn2nu54/pN5+xJiaQBwbO2mcA0AzldfNvRTAgBV/KAZqOln0IUAqHfS8uqSAHFY0cWZsI7RMg1OSKmHh7C33nprTBZWZxzsv/iLvxif4Tg2fgeASVECJg8OfORnmeIbKUBN3Lr1JvHdpzC+eSaUWthZOiVIZ0g8b8s2BLywnNm2wjcK0grLGEV7OYWamC+/hgjYq/8kAq5PCzUn1pCcaXwuAOxZF6e2ivHlSCHC74uAS8ulsPH/XRvXnTOfOxC4WXQlcZpyygH+KtAjmwcB9mZ2BA0w2OU+gxJ8XnBvKDjX+Xi0nwNoagMhh9WFXwGB99nKopzMMkJvzrXWdcSg7PNry12fsWNH+6vmTXWVvfFmgc2yqPgWwBV+KNjoHGan+lcGfhEnYldEuczXhlGNKG3obBbiWOH5y1Iwt1/KmNpY71sa9/Kf49F8lrEe8q5hvd/Mxu79l0weevDB+E/Mw5dkNzEPBEtiWA3j+sxnPlMA04/+aDoA63nPe97kmmuuSd+F+fx0UPvBpW2F3yePJsf+cOWFYz9x8ehPdUyNfsk1Q30Ren3UPpsHzI2Jz4aBFfBzXt5EwFupu/ZNqoEGABsAdBcVDpAaSOf7BgBDTTQA2ACgs+loADDNEg0AfnvgRgOAjQE8254VAeADn/v/2zvzYF+O6r7/7vL0tD3MEiHQgo1QDBisFVBiwCgYzBIMmISwVWHFFTDZbMdVTmI7jpXE5cR2nBDswnZwWOL8EcwmooABiUiYhMXiISWFjEkACSwWgQAVWt9y78359vTpOdNzepbfvU/93r3fqZq6vztLd89nenq+c0736T85poNAYF0ZExL2QtQKB9etfnXhS1i/xPBXv4zVHYwPY91/2223pYEdN9100+L885tpl5/znOekr0PN48wzz1ysyyg0LN8Vd7F+tcEqqGX+zne+szhlf4xJZxq0XATlN2PONYeGcnDgwXz3lFc55loAbRqeC7jjyo0HW4tJ/ltfCFtxYEhuDexYUkoDQiSRjXXfWtqx1jgjR/MxsZ67uHcv1DikFsBQLt8CmLYHFrklr7UyNca0oYEmSn571sDNlTa2ZCcGZLTwJUsg6h9cvmawBixOzRL/hutWt6OxssJq6Fj10hXARWzvpbEWepaicKy6lfU8OwgkH9ThuXXtaPeC5U/LhzKs7m/vRa9OF6zRR2UQgtcGFK1c90f3ubGAh7qWpskzFr5Y5nVTz5tb0bp9bflTQVb7o9fDM2GezVRm2aqB1/W5DPtGuhZsbR6Z5QL2ymnFsecCvvveQ8E7E4ojLNQT9BDEFBR3LpZ7v/a1xY033hh+v/nNbw5/Ecf1CU94Qvh96aWXhunnsNj3B3icHKMNoL3Xrj76F54gzRvvF32v6GCQxHrkx9z2v3MPJmQSBOAll+NIxgGcwIuH9Ak0U8EdYwF4REYXLuO+tGEn8ABrH0D8VqGmpv2bDt6YGgHMq/uqV70qXC1En/YHtHNHatBTuIu1ccFx6vbFQ68PMPK1EUkU45gLeG4DMCYA56bnVfi5AnDsvnkWQBvg1xWAps+YTd+6YcN2K+AyC8tmloYVlPb+uKFuijOYtMR01hLbKKt7tylzFGZwo8XXa3cUNxyqungiDi9lz1VdEnwzhKC58eLASv/pvW9yjf3+0C0ujuoMo4BT/z3TTzAJLCOfO/3tDnXdmDHH5L7EvbKCrtQ/T9MMx2ZsMBrWCj8zitZzQY419vlzsHayEeN531MrAEPCsWxHWnEduGWu6VzkrBxOQ6xT8YIbNp4X5DXugVmCONWKJH39OoI5ed1bd/2R+JGSt02aRu95dvpm2v6AXnvR6fJp+lV67mlcihVO3jFeHhIUq+P+1nbetssQZ60BoIHx+c9/PszNjuUzn/nM4lGPelT4jVHET3ziE8NvvDvW4z1G269p6HsCeehcxigbRhNjsWG/xupXeMIctmPnjbW39nwKQFoAx+rT2H4KQArAQRfwWINEAUgBuNiiAKQA9OMVUgCOvYK7+8faWwrAjNc8vDw6I9C4gD99bOMA2rhwNv9SZdfRWHDT6pcfXMF6/K233rr4yEc+EpI6ePBg+IvwWa95zWvC74svvjgNAoGlTweEhLhR4vLFcpe4dbHA7J9Gij3kIckCcre4gzVvfAEeOnxvr/J45bfb5n4B2vlqxyx1YzW5lPdYuvn+sTAwngtYhmek4nVcvFk8wHDfetaV5lRY9Ly01UK1mc3lmbhn7jU93hv8URoQgvw309Rx1vXeWHCaMluLUWsNtG7fdkCI4uha8Zqp14aW7VsD3bmAYSyJ8eYaa4/x+SXzjzxQasHojAKO5Q1pqDvSBOW2lsFkSStdhxmVG4rhjlRoMgzx8GLdyAYTeNttgOIRyM3u9WgR9crf3PSYjLFMWmud0wcwXI9xjasxtufyjG7dFeGZ6nxCkXVayEYCN9habkeiqzxvm7xRvuFcM19t10Lcss75rZv6kls57b3Q36mbhWMh9Y7HtjWJ6qAuWeu5gTdG07MeIo30gEgQeu9hsfvgBz8YsrjqqqsWD0H7LgusgT902WXhN85TC6WO8sU2jS+IfXfE+YnVQjipPoUqM3+M6pxzvnvX3YtzL3kGikMX8NSbwuM6BCgAKQAHLYAUgBSAKfxIp+8d3nAUgKk1pQAstiMUgNNVBwXgdFY4cr7Enpf+bj/6ARGA6ANol97XadZ4ahyns88+O5320Y9+NHzFYbn99ttT7D7EgsLy2PP+cvpixJeeWu8wKfnD4yTl69Kp+NbPfjYc/4gYVgAWQu3ki3z1axBWP51ZBCLo3kNNHEBvyfvbLFtpvD6AuUUu/9/2IbL5lvrj6DFj6epxpcY7328tfWt2KjjHkhfKbPrhaR+csD0mbNOD9SWf3WMz70hv+20N9B0Mydv6VphibMPM26p9+7oWyWgBRAvkWrr6MQNz+1a5z+eMvoGd0DT9muf1gbQDP5ozCtPJ6XPbsdz0p5ZbrKIP2lhT3F79hg5AKVhIvLq7nl2I1+/PnmdjhY4+j1KOzdX+NIxj53X64+WW5+zk0JfvSMMAfdA2Y7gdGypkTdqZFDLJVp/0UOQW05hJuD/NfdnQQSJZ/toHMO9D6IUq0UEpSMLzGKwc7fcrtcfmFk7vXoy1P4ePSmzGGAMRFj218KG8aqlDGmqVUy8PYsBq24/ZP+xUdtdff32g8p73vGdxZ4wZixmfnve854Xt2tdP3z/YlscEHKsT290/VwCec/EPI0taALcLfo+e38wFfFBGAceOrmMc5lRQTet+nd4obhgTgOqSfde73pVEHxoRnRvyuc99bjLna2fdU9dPSgNDbAw/NAjaOMCloA+5NiLISxsoNBxaNjQ62pAEV8QDMhVc31VWEnLJXZO9RMeOt/d3zB08diz2W1Gkv/dJ461LLuT0nCQsRYDp4B6bHt73HcGVX2dpIAeO031jQi8XIOb/zRh4OBerqfw6gje4g+PVGrdxs2XMxatu5KHjZohBhW5EYRLOxQc7F3Qm5p8KP7X0BbevUx4z0rhTZ6Kc3xQhqc8S6pyKDogdFTz4m+43RqdmQ1HlyMIVZLJ6rON9SXQ66edlyAsAgeLVf1v3O6J0JQ7WgACM8fesAAtjZXS0mY60CMfF8+ylZh/VqWx6DP7mo6XDJkwLZ67E8sjZdQbdmJOMazuklA/qMechP29u97HuMYcOHU4RIMBI5xMGbwR11gUiD4sdvKdM0a5o/cI2W44vf/nL4by3vOUtC0SKwHL55ZeHvxCFaiDAOTpgcJl3X/Gx24EdcAE/6qKnIyUKwB3guReToACkAOzU+zl9B3EiBSAF4IICMDwH3octBSAF4LESFhSA436HY8V+t6QbBOAXP37t4syHn5G+omAxU7covqDsXI5qlrdf7LafmHUZJjfNvrX01W8n2tZYS/jKwpB9LBjU8fa3vz38vkw66iKMC5YLLrgguWRt+ZLFrhOhwh9AYBvpuVHajzgTr49Vgnwy8CHLJ/ZtFtw3Y/ksY8kbc8Fonrmby5Ylf+np9Z2UzVGfrjtaGywHuIK1ftn0VmSQx4paQfI4clKIrY3WZZe7jjsx55J1zliQPLdvbhkSi3JarHsZG3G+boO1Lf22ldCGgWlS6lsQNLZkyX3qh4/x64NvIdty4+B0U7Au4a6L0HH3Oplvrc1zn8IiOHcpz5rip7SyMmZ9zc8zM41MLNyYhbCfzH1NPeiNdfF4mNiLnePVGigbNRROmLavOchzjSM/r41I4WViQdMxJi3fHR8ySpeX55m7gG1bou1uqf1tn5GxLgVdunPbc22bUdYvyewiWD70oQ+Fv5g5Sl3OL3rRi8KgESx2KjhP8Deu/ea+Wfc0tul7E+86zdsOVFLrZP7OGKqKFIAUgBObquJhQQB++VPXBxewdStq5YR7VCsvRlWpexb7tbJrfCScr+48VGgdxXVIAszqeRhdpcfrA4c+GeqmRRDPl73sZaHAMPWruR/lsKN59UFR8/zWobZfSkdIFPqKzW0wVk6aErS3y9m6lO0eKwTs72UEoHVrlNy/Nu9STC7bSNvjvemuvPLbbRCA6UNAEuu4cuP/iPmHBfusAFT3LbbbKeTyOH+2X1FI3wq4XLAhI0/0DfQV3DAuYOVhryP1YRQBmK49CFVDz3U3GmEifSX7ixGUDaB4iCNoJog7xFObukAILuPmaqebm5aTH/9w2rlTj5otzrZOnpp0Oq7gTR5IR/sRe/ddT8vEYHABt6Ii1UURfUlsmI9TVyjLsV7bAAGYPrKQcObKzYWcprF5fxsA2x7jiU/7TrDu/zztvN6tZYFXx+rl3CDN+m5CdIn92v0p3tA7vvrVxcc+9rGA+gMf+ECKNPG6171u8fSnB5fr4jyZM17nnlf3NIJQq3DEHPT6vsI27YtoA1KjzPl7aMw1bivXXRII+rwnPROb6AKe/fTyBBCgAJxYDygA+0Ku0SeNQKEAFAgUgJOeJgpACkAKwCZANgXgpCajeNA8O/H28trJszF05+dlvVTWR8r647I2Q1z7y+/LptfK+o9kfb3ZLXPiLH5bVtin8Yn4Lll/RtbycNV+2kEAfuPmGxann3Zq6iQLq49a6fBbLTRqxUMy+LpRC42NoK5TrOHL6kFnnNHkKBbAr8m0PVje+973Lt75zneG32q9g8Xv2c9+dtiGQRoqJmzH3W5naTNaLgqQ1ThiTC/RCpOxr0eXerbxkBn5NuX4cNnocD1gJsj3OSG+RrMquQxK1kDbGd8mXnIjewKvxFa3nxKtZ0g/d/fm27B/bV9/mr2tguU2pWcGFnU4lqyBzvxWdiRyXq7NNeMCzqyH1sLcmb1k1bgR7ejgzl20ceSMVW/MWthJo+DedIf8tmz9yjTfHdtPJ/P5j9Tao8Z9P1rB4wFzLCM4ZXYcwM3+FGpTyzb5uJVmwEJxQRzA/lDx7HDD2nYZSTEb4/00buGQgHHr2lG+2h54bmIr0lDj9B6sZXEAtYCeBRD7tDuRTc+25147afeXPCal7VPux8n7Tw2HYcSvWvD0fYSBg+phwDSgaul705vetLjlllvCeeeee26aberJT35y2IZjdVAKIlFYD4aWCSysx0zz1L/egJnS9cAF/L2XPA27aQGcctOPo2Mw7vypsn5aVgi3kgB8sey7UlYoqd+U1QrAP5b/IR5/Sla8ed4i6w2yvnLGdQYB+OlrrlqcKmbq3K2KdHIBqGZtbM+n0MGDrA8THiwVg3/w1jcvvv71r4diYXTVi1+MyxIATwWCZtHRvNZEju1aJriW1b1s529Mw/+l/HbZTuPg8Vs/ef8MrM2hc4Qnjp3SXysvhDau2D7FBVwSejZde4zXiI0JwP02SLLh0LpKu4Gi00g9U4jAw7iJdZemcdqp4rIbc/vaEbpmbljrfs7T1f83jJjTPEvl0fTy+td7l2cib2WlL85CXp05hzXV5YJCz3EB53VoaoXXqeSmHr/uzas49eSJx2momYmHyyf0/Od7bMBxnvfm1p1mky+8856jcFW2g7A3ulPBpQDSeFBiGJjDTVeY3DXbzjfcdQdvZAG2ca7WtOJHpJkCr3SM14bkZRpqrzbMB33elnvtKiI/zFk248MM44WKLxWdSEvfK+EDNYaEQnnVkIF+gjfcgNftIgWNfv7zn7+46KKLwjZ8gGjbjHuoLmr7HkPaKvj075zwRXffc+/iaT/2cmRHATjn5h9nx+I94QlABMH7pKwYBfE+WSH+VAA+Xn7/maz49PhUvJ7nyt/3y4rZr7868RopACeCogDsijZgs5Yw/R9/KQAbNhSA/sNFAQguFIAUgBSAE1+/xcNOVBewvSBPAOIj7FpZ3yvrf5D11kwA/qT8/1uyNnPbNAvMCRKwbvFSWd9TIIbPXPupe0D+v+0ZF5wX4lLpA2m/ivBlol9X+lWEtB/6UHigmwUdXrHAkqODNmAB/OIXvxK2P+yMAwt0kMWCtNUyqF9ccBdr3hhppWkjb/1yyhuL1CE5WnbWs5pQsr7NscpZhveLy3vuMua2yvdrwOE5+UzpQ2Lz8a4/L4f9v+SKQRmtAOx8pct0VJ4F1loO9fXXcRGbe9gppxPz79B93S9+zyppYwnqF7Z12eo14G8u1o4Go7ou3Ze1TdfeK3mC0r9WAJbq3KZnOoxcQ0Imnl+yQgazk2cN9C2EG1NGKti4gQNmreKYk5mj19UFNqeez31u5w4KGI/Z2C/t2PPdP6NkpWrql3cH9+8X13Tki2dRra3WjWvZqCO71F6G7eZ+peemdN+de7uxYab+MxdZ4uF1UxmyBgYWWRcQzabk2Zk7TdvhI40r3bZhdgSvWuJgHbSeJ7XqoX7pb30/3nef2NvjmKtTTtm3gCsZix0MiPSUh3X3apeFOfV2Q+rDp2/5JrKgBXBOY3KcHesJwF+QMmKKC1j/sP9WWa0F8Bfl/5+Q9bHZtXxD/v8VWX+3cI1Xxv2d3b/xSz+z+J4HQQs2CwSaij08CDqyCX0AtfFGpf/GN5DdQoTeF8NfzNGrDw7CtlxyySVhO87Rh8vO36gPMx4wNcPjQVB3cN5nRI/HMXq8Ppy5IBi7x3NfKLP7FEkBSnmUGsplBCAakzlu3TnHgqEnHofEHc7ZZ0Jw2L583nm9+XgdsddppOONPXl9zRWZGO3r5XM0hh7pCM7CPQrHrHe7FDTZtkLQ7W4n57XuZRMmw3Flh+Q27AjdvoUVh7Tl9UYBD4U6afZtGp64F2NLEprhwGmhVFY2xtO1+eqzO1YWux9hgeYsc5/XFZ2od0Ymc9uQ1bWC1a8TmLl7zH3i5tuMnYNDGxo/eJv2tDnWluNkDZ1knl3br7Djms2utR+exoextjbvfltR0/2QiU8VhG0WxmaftPFzljnCCemetL95vvFusiHPsM0GkLZCD8fpRAK2P7y+8+Dq/dznPhfSvfnmm9PvxzzmMYtLL0V3/8UCv7Vu2rAyOuvUnD6A98p7+qWv/TkkSwE4p7IcZ8fmAhA1BS5fqCd15d4qv6cIQHwO/LKsv1e4RtcCSAE4XiPmvlCQIgWgCEjzJU8BmL04KQDHH7x4BAVgM4UcBaBfZSgAF9+d/DDtogPnfYocnxeeC8CflWL+O1ntpyBMBfj/L2T9PlmXdQHnBEIfwIPXXb0466xHJqsaLIBqsYNpXU3W+MLRKXQQrPlTn2q6H1544YXhL6bQQRw/LPYr/4hxn1prn7UmasGQn4otO1UUvhBth9nckrVemNN1jltiqHrMbWCQVu76GHK14vhlBoGoO13LPtSvBsfMjRs4ZxCIlmH/vnZEpecmzl2oq2LN0yWJRDM1mA06rset2WDCmdVQ0+iM0DXWr+5MWH3LG847aX9jEffrj28JRDk34+jkMbEb6sdW42bufSi4QYyjBczMUdwUcMQyNikgcsvAD1AynMfKWBmGHqxjtG/LDPqZlMVqE6R5zjLfBWw5Rrdvr6OomYqvqYBtvD8ZPZ26MhirWVOHmoTWj7ajhL0PUJTAbrejgL1r96yCh47IwJQJ1uT0rMY6mz8TthuPdb+G6zGFKbmz7fM5Z/AEzpNeKv6zJ1ttQGf727qD0e5i1K8tA1y+NiKGvivf/e53L6677rpw7FlnnZXi3GLqOT1e05pjHUccwEdfgoAitADOeW6Pt2NzAfgwKSBG99rlg/LPH8qKkb6wMesgkCfJ74PxwB+Vvx+QdfYgEArA8SpBATg+CEQpUgB2X7LJ7ZV9rlIAjj93yx5BAeh7ICgAmxpFAbjsk3V8nXeiWgBPF4znR5Q3yl848vGJ8G1Zv+wgvlW2WRcwDkEYmDNlfZ2sGgYGJrnZYWC+cONHZeLtU1L/PnxN6WAO9MdDNHQsV1999eL2228Pv1/4whcuXvCCF4TfOnE2ftsh82qdOnDaaenLFf0oVEzZ+IL6lQeroKYxx4W6JbEGvWWnLIBrkywp3RLksa50b8lKt+HODDHvgRvr4zdlYvbSoJHUYdx8/XvbLCvsz8OnWKsg9nVnAmmsJDhGrY/WAqj5ia0tgfGsjNhp4/wla2wvFEvThNjxGCG91f7MEC0X3wKI8zwLYCpoZqXeOtq3rDXX1w+urWms78vClYxY37ZW+zOBlCcQkfIPxjZpy2t57ducN43aEo/SvIdgmaNX5oRPbTLY2Jw3Bd6Gud/tNGzdPn/tC63ZjrYwTZ8msUg9L0ior9GSuHr0cOe50GdJN67lgyucQR7J6lew8k0J+2Pbbm3v51gArYAvDRix2+dYJMFi30nN851P36acbLumv3Ev9J2GbdpvT99X2KfXim16r+D1+uY3w2CNxbXXXhti4WLBu1XfoS9/eQjnkvrbT6nCtACeuFPBXS43uLEJd5e3yb9XONtvlW25AMQw3N+R1QaC/mn5f05LFlzAXzp4ncRq3ui4gDE9G5Z3vOMdwWyN5RWveMXiWc961pS6OXhM/rDm/8+dps3LzGsQ5gnKrm9m6hyNnntlKjAdqIDjPZFoGzxNc0hk5h2rbTlKIjQXkN48z0NCEHmsyxvecsjdyFaw4XjrvrHHDgnAXKQmYWhcx/kLJ12/92LLtlld5dabsTTG9kthNh1x1snL6dbQmbrLurVFObjlNIMCOnET0wCP/Bu6/00t4YmHn+dFaRq1UsDqeQM6epnvyGd/PiDDH9na5t0fwCEzvBa4FBzp8vEbFhHZ9tlMddl8xCarsbh9vWPzeIFJpOjYCQh5Z07fRni2/FPeneni2o+wNKeynY87C7rfC2nT+YhAv0XLI36o20DVTjzPDbFp2IGDW9G1nUcl0KpgP2xVXBeffyDY59TzkcCO+WQEXjtoK8T9h5trxXn6kWsHOaIL1fveh+7+izT1HGLkwriCBd2pdMo63CdtDzFAE//fdfc9i/Of8iM4lINABlso7iwRoAAM7XG/wR4SQkPViQKQAjDUDwrAjtDoPDPb7TNIASgSrttmUQC2HiAKwL0jeHakKdg7uHpXGgTgLTd8ePG1r3wlmaY/8YlPLB772CbCzKtf/eoU3RyhX5YZDZuLqTHr3PzO1f2pn8bymDsl2lQLoC37XEumxpErdXr2uITYYEbAupYFc9tLlj89ZIoFUI8tuV4lQEtnjuD8S7lkAbTb7QCgUj6lcgxZLTtPQC7SrEXNMVKNWgIH0kv5mmOsBbBUX3N3bccCaC/GcbV3hGivbH3XcONQ2UkLoC3g3DA2WVu14y39TlgA21As3dLOtQDGmHTui0hiasbkggdAQ7+IBc33aDRWSeAqtaMyt0Wbkw6WQR6pHfHulfmoMQNsmjwalpqfnTYO+1bWYxeBcGwUavitHfGMtVILdmSlOzWfN5MJ2j6tFh3LoLE4Fj0dM6LMJGtsZijIPSz435bjpJNPC5eDbk12JhAd6IFtiJeLRf9icOU111wTtp1zzjmL174Ws8AuwjtYQ57hfJyLqeDOvZBTwbmPDTdOIhAE4NMfd/ZiXeJsPeUpTwknvfKVr1w8/vEYZyKdEr/97RQn6cwzz0xTvU1KPR40FEwYh5Rcs3PywMMxJvpsetsRgHnDmrtmSw3vmLC1gYRLQi5PI3cB542SbZjz38rDux7dt4wLGAJQF9yTMRew7QNoxaLnDrb3sORmHnNRjwo5yWTTvAMn1yvHldWpw7kIW2v7zvXiIbYAm1+OAMLrtHQt3rRLf4vZAAAgAElEQVR17tR5vVh/zYV7/QRLruDVogs4XUT2KC/hGt5xAYgiWRGoFiQ/Vl97Ae3+zXD+2PGtGFzVOZCN+3PT9CPEc6iXqaN6w61XASh5ec+3fd62ttqp4NoyS5eMmEanvqA+2tHSeWDygqt6TQVd06C0wjG6sMN1JLFk+dibKLyNi9oKPCR7aGs91W3bBxjWPesabkVrc7W2LUaadnSxbec2Vrt9iANnp2+z3Z4/a/m9yPsTqgDEdo01iPeOnoeuLyrqtA2Ee1ejY7z//e9fvO1t6BXWRJTQfoLohoU++ugDeN6TnonddAFnLQz/nUaAArDwVWfx4YG1QogCsD9IwTaOFIDhbdJ/AikAIxMKQBUuFICNaKMAbEySFIDThIsedUy+C+cV4YQ+OgjAd7zx1xeXPeXJabDHXXfdlUY7HThwIH0ZwUyts4LMuWormCZbU+ZkEL+Q7Clj+XjWuCFLmE3PM/17X+alWTq0nHl+Oggkd1t4aWsa23EBl8rhcfS+jnNXrp6XC0A911r0bHr6FZxb9Kwlb8iql7uIvfNSg1EYBZxXt42oUcbqUY/VFOGnJ6133VwpLS+mZUwXTsDOx0n8p2S9sELUtQri/BXPHYyYhs5DaEyD+nMtc9f1zir2+Ss1357/3SvjzEZi8PChQSC5lS+6PHsTCA5bA1c2dISu2A6j5c2Kn1A8jSNp3b7pI7U7sKOt08bKaKpHqd0Qe2AioZEHbLeNTv0yM49oeuvibfEGmGxFly4iMti8jx7GDKXdkf2IFLDSDoXuuavvE1Sl51hP61j7TKE7153K1A68waFDFsC8PbFtbakd8drSu+9tpg+Fy9bOHKLWQPzVeqDXCqugWgBxHdo23nDDDYs3vOENIb077rhj8ZKXvGRx/6HDi199I6LD0QK4ky3BXkor9QE8RaZ5U7coXtS5aRpQ5vZpKz0sYy/VZfNZNj/v4cW2MVeu56a159j+krmo8/I8rC6irDEbcuvmrLwy2WvxrmnIBT90r3IBmBqxzAWci7e8gdW6pi8J/Tsm5EoCcUw42ge8dH0qAL3GID/HE6ed80qi0LiA0/H5sZkYDII/vr9z0ef1PLMvWdv3q52yDom1gqvbxzBOJzciBLv9Y0sjfJew+gUoerHzQs3Mb8TnjwJuxLgn+nwhuLLZzieuYU6siAnCJgpA2z6oO9UeCwFm3cRt29cIZXts6CtXmK9ZRRvqUhp1b/sbRPFpPzRVwMSMUjvZitpWAGIEcAo2LReoH4fdNqBfcw8daStdR+hJOb000v0ueHTAdqoLuCQAdXrUvH2ydc3mcTQ+ZODqhTbrMI+j9e082Xh/wBij+aELFpaDBw8uXv/61y8OHzm6+KNrP4lNdAHPf+B5hhCgADTVYMgC6D3kFID+vLslC2BJmFEAmtpFAZg1zBSAFICt9Q5tCAUgBWD64KGM2xaBIAA///EPLc74Sw/ruHc14CX+6osbZuxlrHP5CNpjbQHUL6acjJfvFNE3Zr0r7c+nJ/Jcx7aM1gLopdmxAMQT58YBnGIBLFkEPcuXZ/1CHMDWItGKxDEXcH7fhiyA+eAUe+zUUcAlSx7K4bk/x+ptb/+IO3hrtR2KaM8tumqlXHagEM4pDh6JN8BaidKx4pLt5JesjKvdvq7pLvatd5ZPcYS8G3F6poUwXUcWANtt9rYTX9CL6eeP5i0P/BgbEBKnmzODK2Ah6z6TcYo4vT5YhnTaQ1i3rCXPWgu1i8BGazlLbUMvjybxxuLYXGPHmuyOOGpZHL7PWDKlbG675gXmx6CMrYZzz/KZWVI3V/e36YobN4/BhzTQzmjd6zAsxPOzVtCjK3Hk9YyBH6V3X8kQsP+kU8O1YsSuncKvvbX9eIxwF6sVEBZATfvOO+9M2zEA5MEPfnAYBXzGD4SBm7QAuu0BN44RCALwW39+gzzyW6EDKhYrXFBxtf8C+gOqSXosYbs/d1Xl5+YvzpLrdShPnDP2grYNnedW1YYpzycXXsuWzxObHZeBnd82FsLm7YnC7biAp/Dy7qMn+mxa+yTA8ZAbNnexlNwjQ/Umnx/YE5el86dcdz4zyFid7b1Ep/QFjG6fwbyydFAHuu7bpmSegCw9g53nwLp/kddaOT6GDIVyH8GV9Rl9+cJD5h0/LN5WVk6Z0+SYY6eKwqmzeuSicEj05ftiH0ATDiX/gGvn3o1CEPPoqqBB+2DFjS2KCsBYOWxbEYL7aD1CBqlOyR79bcWl5oFjPTF1tFuONq8oJjORmlzDIuQ0HMrGxpEkbkInhPgstOXc54a3snMTBxeq6SupNz2VpzCKGcdtRCFa+tj1Klve5gy9t1CGw4faOqXXB1Fn2ztlo38xJ/DZ554bsr9XRvnec8894fcZZ5yR2H3rW9+SmbtODQLwnIs5F/CSDQNPEwIUgBNHAZesfFNrkWe9y7fZmUBsY+aJVd1GAdiQogA0fabcAcjdjfrysqIubKMAHHmkKQAXFIC9j67wXWPeJRSAU9+M2zuOo4C3xy8IwJuvv3px7jlnp4EfCPisC7401HyNuQtPPrk07dP0ggy53qan0j0yF0JTrDy9L0aTZG6ts1MNTf1qHIvRlzcYdu5az62QNzL4fyyP/Jx81Bn2j1loFYt33zxr4ElGRFhrX8kFbC3OY9ZF3V9yAduv9LHrGqqHO+ECduuJsehtOVZCew7K0LMyZA+I7h+zWHZOywaWrMRRwJA2q7A4NZLaN9R5I3r3lVylM9y95QmK48t2igVwRn69hmaOJS+1HFkqYy7gZjQsBo/Y5zu5JrMBIOHZDEa4xl0ZvBx2RLDJXevBhsTP02c6zYgB65pOCQhEnnUaLli9jRobEH81vxDdOWZ4xJ93vbUWZvVBYx1KemoBDO3QZpMOntk0YC6Wc0tc2a010FgqcYKO7JU0tD3TfoHBQm5HLjujmMMxGpA6cu1VB7NB7xXeAWmgjJTT/lbmnTYnBtzG+dYF3Ln32b04IK7dO26/PeQOJnD3YrHzDGM7pojDVHCP5lRwQ7eO+0YIUAAWGgAKwH7NoQDsf28OiUwKwBmCjAKwNwKYAjANd++KVgpACsD4eqIFcHsatxkF/KcfXhw4vZm2Rr9kvN/Ytkz/N2vhmXK+17G35ILV7fmAi2WweH30NB2vA7B3LaU0rLu3GJ3exBXzrtdzI9vrtPvzcky1Wg5xy61zJWvb3EEgpUEbJYuhV0enWg7zc0v1fCEz4xT3yY4xC/PY/vAsZeFywjbTouXWwF7ZJ8Q03PCsSlm/vzZPMzhE0lbLYLIYIT+nxd1cMxahYsy/lueqGSRkQ9D4da/JcGtRiJmYFyjm3+U/tR9getpHmg/P0leygrZpbi7awRP+i8vMTpH6trX9yGz/t+JAlLVoKbXFgRVP6wF+p32SX6cPYMwr9QGUUibLoViGtQC5BTDvJxjSN4wkXEmzmG2dvoz9cDpbR1tC4V7aum77MOZ3yl43rH9itQs5y98NGYwRfmO7iUE4crPT7tK7y7Y9ti3bONKvJ3kb7hkabLtnf+fvBPQBfMQFT0X5OAhk6k3kcR0CQQB+4RPXLB504PTOjjH32RyOc8WHO7IryzB/cIojEScUdIqQK4221eTH0rCuCc+9G9wEvcCy3dFyJRFsy2DT1u07dS+3KwCt+9aWqSQAS+5eXFfpmqzLeey6h1zAXn0aE3W9/aOjgPuVczSNgZG/3uhhr14ij3YW1UzMygCexFfLr6OVXdeh1FErAOXkFKzaFYPiOusIQGUwLNIkJG4GyzveiAY7321h8MqEpsEcUnLvTheDm4vGBVxagr7qqrzwwb3qDA5r0nDyltGzvSWILaOMdJCGiEKNR7gi7tj0YWrcowjYHBYIwSQWhXNH9MVypMEqtgQQYbac+nvEdpOLJ1cAhprqXG/cFAa2mLKZ32ht5y4hRqY3KKZQts3D7bR8tl32DAC6P2+z7P/5ewMC8JEXchDI3PvI41sCFIBoGp2HOt9GAdiNzN+8E1qLkW2oShZACkC8r8xgDW/Ci1xkOf+XrIQUgBSACwrAVutSAO56rUMX8PZucRKA1gUcvqsKX/tzrXlDaRW/hJfIe64FcIpL14rAKcfjeoZc1bl1LnfZ2lHA23UB52w9F+ncqjPVAminlfIscvk2r2y5uByy1k2x+s21BnpWSctrtjWweRA6yOcIuXRiZm0YiwNoM3SPlY02rEyaCQQDQ3SwSAohAsuPzpHXppxbANs9npUOE5HNDwODOSTK6dp8mrTbPOy+ua7g0hMyxxrYprGx6M820lj9+umtFKx+CNc1uKz4YXx0IIk61EMaYXBCLFMImRLdpWopEwvjWrz39hlLdSAWJFmvUsHa2IAhmzjYw5Z7Dddh61V+UYczJoV3QjpNsdiP+U44mk7fCrEMjs384lCWwReuBdCzCuL0o8bKqFP/mYErdnYVZYiuTJ7VD8nllkNYAM/8wadhF13Aw08F9xYIzBaAx4Lk0Mtd8+s0QGgzJ/R/GiqrHdVrjytZA4cCYOfneC7epr1tWqnS/iOmofRcuXn/ES33mGu45G6dey+XEYDII4/xVbqXQ8LQE4meqMvTtvUHv6fWm15cMgNr6ONoTBha5l48v7yM+diIkP6Ya7mjr0y/Mm/OX4g8m8m6EVq569eOHjbu3a11607ri6yu4Mv3j4kylSxTBpSEIa4B8bEVgJ27OPAYdUWMjFkdfeTgnLdLcx1zBGcrALvzRls3bfwt6jN5nEX82SDNoQymPerW624A47w7nXWvIn0d+dvt9dpepTel3ZrpAzgILbmdowI0Qa9tuxjmP9b+jHh+lhWA3ZdF858tg/2t0RBCv8vUqTO5pb32fMjAkr8TIAAf+rjLUAIKwNEniwd4BCgAMyoUgOUHhQKwYUMBiJeeEQEUgIWHhgKQAjAKRArAY6LA6ALeHlZ3FHDzUTM2qm16xtZ6VnLFTXE5D7kxh76cvJJac3r3o86/7tLxQ6xyK2PJqqf5qwUwt+h55+k5Q9a/koVs+p3rHjlHAOqZnnu25F6dYwEsWfKGrIvedZcsdkNdCobynpNH6T7YeJDpmGh9y/PW2tq7juRea0SIrdVpdK8mrpY9WAKtlSQOCHFddabl3VzrNsM9Ph33rb3q3KpXbs77T6Xn2jUjt9PAj4kuYO+xn/V2GbfuHXXct03pHBdwPLbvLh/Ox5+txVpoxT2raYubuTUmS7qpzW/jDrplC7EG23J4HpBVs99OSac1sWP9Mu5nrR3rW+IKNS5cr53D7dHtduDgloaJCem2N9bOIbz0IBDvoY154Drte2KfWtwH3qUl71GejdeWwwL4PY/jVHDLvs94XpwJJA8DMyRqlhGGeCjGxEhJGNqbNFfkDd3gMbdpfp3LDAIpCUBPvGHbTriAPV47xW2qAIRLyB6bn+eJQisY8dseUxolnJ+TnzdWp0pCDumsqRAyQEti0SuHlmWoId/y+n4Z9y5esV4Zvb58o30Be4NJbJ+6ppRIQybXav6xrmZ1ZRX6YR01STX3rZt25z4UxeCw2mpES6nvYF/kpevojAAecDePfe/ugBiUMMKD7xwrmlKdKrp//QLb0EJW9qvgaS5DxZsIltjvL9+Oo0LsZ2dO35UVE5KnE2ImljofIZxGD8MVGvOGq1b7xcnxeRebtY2ueFMxmPeb1tuyti+OEg8DP2JXG0m/9PHssR68OXFnqsv2WXAEYOjfd7iZ+m+KcUPzLnVNyttD/B9cwE9gGJgp943H+ARmWwApAKeNGgZuCsCukBsShemF53Q6pwBsH14wpAC0jRlkCgWgEqEApADcS2Jn1nfZXgIz8VqTADz9tFM7p4xZyCamHw5DWkMWwJLbTs8dykvLOdfKVerrZ/OyxywzCnhMAOZ5aRzAnXABl6xsywh4T5xhWykMjO0UjnKMDQLJ0/fSHrLWla61ZAEcs+Qhf2sBnHJ8/qU/5RxrASwdnzv8rAAsMSlaA93BI11rnQqIkHY+SlNdwtkDeViCZo8/320+rVtzqPnuWsu6Ljt7Xi7+mv9nWQDHrH/2eme9cbp3b8wCGOp9r7GzERvtTt8V7A/HaS+w4diciwEnG3GgR7jdur0Ti9AMIlLLHiyArlsz5m55woLoWMuCJVBdvJmrNpTNBJvuuIvFvdux6sVypKnkOo1qePmkd5A9by2Ltzj0jtF9nfeYfT40j8wFvHmoCfw9p80ttf22fdH2DhbAh1/4DOziIJApN5DH9Ai4g0Cm9itbhufYy9ruL5XD7Q8yFiZgoLBTxOCyLuCxh9/ut4GgvWvsNITmerw8SpyHRjOP3U9rwQsvq0IcwFwA6nlDM3to3jaPOTOB2PPzctrG017jkKh8IFzAnX5UUVjkZcrnC7b7g8vWqfdDIrF589uQGJkAbDsVdudiDTe87zbG5kOjArAb2qINBJ2rqbKLtN9nS889ngUg6LQCajkBaB3f4/0MZSxv7zFuCEUh1BGA0GDN7BiNAGyO6YaacfLMA3wnYWiOTf332n5xjUs5xWtJ5bRaLH3QiwvYjpxN5xUEoL3o1G6YLgNwN1sBuIwL2ArAEC4pf/ayEC+rcRaSQL8gRLXcuh9hYPS37VPotVshDMxFl2MXBWCv1nPDFAJBAN704asWB05rp4KrIQD1WZ0iAG1f6mUtgBbOCSMAceHOl3dJAGoDZTuSbxVnFZhQXdQ9G2/WAyUAkd2YBVBLj2vdUwLQuW3HnwDsWggpAMvPmieBW5l8vAtAY/p7IARgoT3U+pW3e60Ig6V1nGV+l/oCMDtCrlk/sPH3WAvAu+6+Z3H+0/46BeCEVxcP8QmcLZtvIxwSIAESIAESIIETksA5UuqvnJAl32ahZ/XI2GZeu/F08Pt+Wf9cVlSiu3bjRR6DazoQhTOZzYNLbvN44Wgym8+M3MhsOQLLnVXzGUXeX5V1Tk/W5a7yODyLAnD7NyW4gWXds/0IlkBIZktAk1PIbT43MpvPDGeQ23xuZDafGevacsx25CwKwO1j5EM/nyGZzWfGhpLMliOw3Fl8RudzI7P5zNiuLcdsR86iANw+Rj708xmS2XxmbCjJbDkCy53FZ3Q+NzKbz4zt2nLMduQsCsDtY9wvSfyCrP9a1iZwEZcxAmQ2RsjfT27zuZHZfGY4g9zmcyOz+cxY15ZjtiNnUQDuCEYmQgIkQAIkQAIkQAInDgEKwBPnXrGkJEACJEACJEACJLAjBCgAdwQjEyEBEiABEiABEiCBE4cABeCJc69YUhIgARIgARIgARLYEQIUgDuCkYmQAAmQAAmQAAmQwIlDgAJwe/fq78vpPy/rI2T937L+Q1n/dHtJ7qqzr5Sr+ZXsij4n/z8ubjtZ/v6WrC+XFSPoPijr35P19l1FYfhifjjWoUvl7yNl/XFZrzKn4Bn9F7K+RtYHy/q/ZP27sv4/c8xD5fdvy/pjsmKSznfJ+jOy3r2LOY5xe6tc+09k14/69dw9zA3RCl4iK56/+2T9mKz/RFY8k7pMeSYfJQf/rqx/Ldaxt8lfpH10F9a3Kcyul+t+Rnbtvy//v85s20vMcNloo7B+X2Rws/z9l7L+cfyf9ew4eFgoAJe/CS+TU/9zfMg/KX9/VtaXyvpYWb+xfLK76swr5Wr+pqzPMleFl8Qd8X+8RDAb9xWyYjaV35EVAuapu4rC8MU8L17vp+UvhFsuAPGCxksIjL4o67+S9Qdl/QFZ749Jo1GFePwpWffJ+hZZb5D1lbuY4xi3t8q1nynr3zYMEKbpO+b/vcbtA3Lt/zXWjXX5+2uyPjHWpXsil7Fnck2Ou0nWr8uKj1/UO7SDb5L1F3dhfZvC7Hq57v8r6z8313+v/P5u/H+vMcNl42N0Q9bPRwb4GEN9uVhWiEHWs+PgYaEAXP4mQPThJfsPYhKr8vcvZIUl5t8sn+yuOvNKuZoXy3qRc1WYOu+bskKkvDPuh2Xis7L+VVk/satITLsYzEdpBSCeT8xTCSvpv41JgBsspFfIipf542X9M1mfLOun4jGwcr1fVsy1jPN3+5Jzw/W+VVZYTFH/vIXcFoszBAw+VmG9+hNZpzyTEN7/XdazYj0EW1i6fl1WpHd4l1e2nBku93pZIYphBPCWvc5MmXxbfkAEor0fa/vJ7AF4kCgAl4N8kpyGLzxYt6y7Dq4QvHRetFyyu+6sK+MDD+serFUflxXWrC/L+kxZPyzrQ2S901z5l+T362X997uOxvgF5ULmPDnlC7LiqxkvGF0+Ev+Hm/cnZYVABEddYN0Bb1ik3zOe7Ql/REkAQvxBkMDq9z9k/WeyfiteLbktFucLC3QlgEX5M7JOeSbhxnuhrPaj7tHyP6zTl8h64wlfm4YvIGeGo6+X9Qmy4n0Ky+jVssJSj3cElr3ODBZQtEV4P6ItQ5epsbZ/rzN7QB4jCsDlMOPr9yuy/pCsEDW6/Ib8wNf0Zcslu+vOwlfc6bKijxFcRegPeLascDvBRQBXJfr+2QV9KK+TFa7PvbbkQgb1C33+UN++ZmD8kfzGseiGALcb3CvoemAXWHbAG66W3b54AhD9SvECvkXWx8gKdyf6RMK6DNfUXucGj8V/kxUfrE+LFQTW+LFn8j/KMd8r63NMpTpVfsOF/HxZtY/XbqxzHjNc52tlxYcrrO0XyAprKNox9LfEsleZ4cMC70f098Ozh/oFzwTr2XHydFAALncjSgLwNyW5p8v6V5ZLdtefhZcNGsqfkxWd0L2XDdzq+Dr8p7ueRv8CpwrAd8ipEDEQOSUhAxfLL8v6e3uAoycA88tWayr6o6J+7XVu+DDABxrE320RVunFbJ/JITGD9NBnbrcuHjPvWtWSCmshLPh7lRk8ZRj8gnb/b8j6d2SFgQTW47G2f68ye0CfHQrA5XDTBbwcN5yFl8m1sl4TX8R0Abcs6QJerl5NEYBIGaIYbmCM0NzLLmAMtkI3FYykhoVUF7qAy/WvxMw74zTZCIsX+uJi5DndmQ0ltPsQxG+f0PaT2XJt4ayzKABn4eocjEEgMPMj9AsWuAfQtw0NBQeB+FzhDgajK2VFfxC8kF8hK0a/Yvl+WeEu5iCQhocOAsEAEPTzw/IgWeHevUJWOwjkSfL/wXjMj8pfWGL28iCQiCL9AQvUPfQLhOtTB4HsJW6oTxikhoFGl8tqQwkBlA4CGXomtXM+unRotAO4QOH9eLisGGm9m5YxZt61IorB/5T1Qln/j6x7jVnp/qMfLp5B9F0ea/vJ7AF4iigAl4esYWDQ+EEIYgTY35IVI1n3Uhy7IYIQLugQDbcv3OaIZwfzP0KYoAGASwX9hq6QFSET8HLCgr5ve2WBKIarCAs60MM9jj6QGDGHxhJ9IeEORz8/WGvQuRz9jPIwMAh5gtGYGgYGI4J3cxiYIW5gh/6P+LBAp3z0AUT/3AOyol+SihT0V9tL3N4Y6wSsfzb2HwZpoUsGlrFnUkOaoL/bP5YVHfr/UNY/kHU3hoEZY4a6pX3bMMAIzyYGsMGtrrEB9xoz1CP0ucXzhcgYeO7ACG0Z+o7C+8N6Fh+4mn8oALdHHyFgNBA0Rmn+tKywDHJpCMBCBTfTw2SF4MNX8S/JCjcAFg0GCouDDQSNl/ZeWS6XC4XgyxdYSK+QVQNB40MDfWnAEMGyEXdMFwSChuXZBoJGXdzNgaCHuCEALUbnY8QhmEGsfEhW9Im0H2d7jRtc5d6CWIlvjTumPJMYBIIXOO4BBn+gruIjZTcGgh5jdq5c93+RFQPb4PqF4MHI+1+VVeMAAu1eYobr/U+y/oissBTjAwOWUAyOgfjDwnoWQdT8QwFYkz7zJgESIAESIAESIIEKBCgAK0BnliRAAiRAAiRAAiRQkwAFYE36zJsESIAESIAESIAEKhCgAKwAnVmSAAmQAAmQAAmQQE0CFIA16TNvEiABEiABEiABEqhAgAKwAnRmSQIkQAIkQAIkQAI1CVAA1qTPvEmABEiABEiABEigAgEKwArQmSUJkAAJkAAJkAAJ1CRAAViTPvMmARIgARIgARIggQoEKAArQGeWJEACJEACJEACJFCTAAVgTfrMmwRIgARIgARIgAQqEKAArACdWZIACZAACZAACZBATQIUgDXpM28SIAESIAESIAESqECAArACdGZJAiRAAiRAAiRAAjUJUADWpM+8SYAESIAESIAESKACAQrACtCZJQmQAAmQAAmQAAnUJEABWJM+8yYBEiABEiABEiCBCgQoACtAZ5YkQAIkQAIkQAIkUJMABWBN+sybBEiABEiABEiABCoQoACsAJ1ZkgAJkAAJkAAJkEBNAhSANekzbxIgARIgARIgARKoQIACsAJ0ZkkCJEACJEACJEACNQlQANakz7xJgARIgARIgARIoAIBCsAK0JklCZAACZAACZAACdQkQAFYkz7zJgESIAESIAESIIEKBCgAK0BnliRAAiRAAiRAAiRQkwAFYE36zJsESIAESIAESIAEKhCgAKwAnVmSAAmQAAmQAAmQQE0CFIA16TNvEiABEiABEiABEqhAgAKwAnRmSQIkQAIkQAIkQAI1CVAA1qTPvEmABEiABEiABEigAgEKwArQmSUJkAAJkAAJkAAJ1CRAAViTPvMmARIgARIgARIggQoEKAArQGeWJEACJEACJEACJFCTAAVgTfrMmwRIgARIgARIgAQqEKAArACdWZIACZAACZAACZBATQIUgDXpM28SIAESIAESIAESqECAArACdGZJAiRAAiRAAiRAAjUJUADWpM+8SYAESIAESIAESKACAQrACtCZJQmQAAmQAAmQAAnUJEABWJM+8yYBEiABEiABEiCBCgQoACtAZ5YkQAIkQAIkQAIkUJMABWBN+sybBEiABEiABEiABCoQoACsAJ1ZkgAJkAAJkAAJkEBNAhSANekzbxIgARIgARIgARKoQIACsAJ0ZkkCJEACJEACJEACNQlQANakz57N9JcAAANtSURBVLxJgARIgARIgARIoAIBCsAK0JklCZAACZAACZAACdQkQAFYkz7zJgESIAESIAESIIEKBCgAK0BnliRAAiRAAiRAAiRQkwAFYE36zJsESIAESIAESIAEKhCgAKwAnVmSAAmQAAmQAAmQQE0CFIA16TNvEiABEiABEiABEqhAgAKwAnRmSQIkQAIkQAIkQAI1CVAA1qTPvEmABEiABEiABEigAgEKwArQmSUJkAAJkAAJkAAJ1CRAAViTPvMmARIgARIgARIggQoEKAArQGeWJEACJEACJEACJFCTAAVgTfrMmwRIgARIgARIgAQqEKAArACdWZIACZAACZAACZBATQIUgDXpM28SIAESIAESIAESqECAArACdGZJAiRAAiRAAiRAAjUJUADWpM+8SYAESIAESIAESKACAQrACtCZJQmQAAmQAAmQAAnUJEABWJM+8yYBEiABEiABEiCBCgQoACtAZ5YkQAIkQAIkQAIkUJMABWBN+sybBEiABEiABEiABCoQoACsAJ1ZkgAJkAAJkAAJkEBNAhSANekzbxIgARIgARIgARKoQIACsAJ0ZkkCJEACJEACJEACNQlQANakz7xJgARIgARIgARIoAIBCsAK0JklCZAACZAACZAACdQkQAFYkz7zJgESIAESIAESIIEKBCgAK0BnliRAAiRAAiRAAiRQkwAFYE36zJsESIAESIAESIAEKhCgAKwAnVmSAAmQAAmQAAmQQE0CFIA16TNvEiABEiABEiABEqhAgAKwAnRmSQIkQAIkQAIkQAI1CVAA1qTPvEmABEiABEiABEigAgEKwArQmSUJkAAJkAAJkAAJ1CRAAViTPvMmARIgARIgARIggQoEKAArQGeWJEACJEACJEACJFCTAAVgTfrMmwRIgARIgARIgAQqEKAArACdWZIACZAACZAACZBATQIUgDXpM28SIAESIAESIAESqECAArACdGZJAiRAAiRAAiRAAjUJUADWpM+8SYAESIAESIAESKACAQrACtCZJQmQAAmQAAmQAAnUJEABWJM+8yYBEiABEiABEiCBCgQoACtAZ5YkQAIkQAIkQAIkUJMABWBN+sybBEiABEiABEiABCoQoACsAJ1ZkgAJkAAJkAAJkEBNAhSANekzbxIgARIgARIgARKoQOD/A60ifUdnwErMAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.image as mpimg\n",
    "import matplotlib.pyplot as plt\n",
    "# Uncomment the next line for use in a Jupyter notebook\n",
    "# This enables the interactive matplotlib window\n",
    "%matplotlib notebook\n",
    "image = mpimg.imread('example_grid1.jpg')\n",
    "plt.imshow(image)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cv2\n",
    "import numpy as np\n",
    "\n",
    "def perspect_transform(img, src, dst):\n",
    "\n",
    "    # Get transform matrix using cv2.getPerspectivTransform()\n",
    "    M = cv2.getPerspectiveTransform(src, dst)\n",
    "    # Warp image using cv2.warpPerspective()\n",
    "    # keep same size as input image\n",
    "    warped = cv2.warpPerspective(img, M, (img.shape[1], img.shape[0]))\n",
    "    # Return the result\n",
    "    return warped\n",
    "dst_size = 5\n",
    "bottom_offset = 6\n",
    "# Define source and destination points\n",
    "source = np.float32([[15,140], [301,140], [200,96], [118,96]])\n",
    "destination = np.float32([[image.shape[1]/2 - dst_size, image.shape[0] - bottom_offset],\n",
    "                  [image.shape[1]/2 + dst_size, image.shape[0] - bottom_offset],\n",
    "                  [image.shape[1]/2 + dst_size, image.shape[0] - 2*dst_size - bottom_offset], \n",
    "                  [image.shape[1]/2 - dst_size, image.shape[0] - 2*dst_size - bottom_offset],\n",
    "                  ])      \n",
    "\n",
    "warped = perspect_transform(image, source, destination)\n",
    "plt.imshow(warped)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\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('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",
       "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 = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(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 (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.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 = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\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 nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\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",
       "\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",
       "\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]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.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, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\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.get(0);\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",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\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).html('<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/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<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 () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\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) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('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",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // 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",
       "\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('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"2400\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "import numpy as np\n",
    "import cv2\n",
    "\n",
    "image = mpimg.imread('example_grid1.jpg')\n",
    "\n",
    "def perspect_transform(img, src, dst):\n",
    "\n",
    "    # Get transform matrix using cv2.getPerspectivTransform()\n",
    "    M = cv2.getPerspectiveTransform(src, dst)\n",
    "    # Warp image using cv2.warpPerspective()\n",
    "    # keep same size as input image\n",
    "    warped = cv2.warpPerspective(img, M, (img.shape[1], img.shape[0]))\n",
    "    # Return the result\n",
    "    return warped\n",
    "\n",
    "# TODO:\n",
    "# Define a box in source (original) and \n",
    "# destination (desired) coordinates\n",
    "# Right now source and destination are just \n",
    "# set to equal the four corners\n",
    "# of the image so no transform is taking place\n",
    "# Try experimenting with different values!\n",
    "\n",
    "# Define calibration box in source (actual) and destination (desired) coordinates\n",
    "# These source and destination points are defined to warp the image\n",
    "# to a grid where each 10x10 pixel square represents 1 square meter\n",
    "dst_size = 5 \n",
    "# Set a bottom offset to account for the fact that the bottom of the image \n",
    "# is not the position of the rover but a bit in front of it\n",
    "bottom_offset = 6\n",
    "\n",
    "source = np.float32([[15,140], [301,140], [200,96], [118,96]])\n",
    "#destination = np.float32([[0, 0], \n",
    "#                 [0, image.shape[0]], \n",
    "#                 [image.shape[1], image.shape[0]], \n",
    "#                 [image.shape[1], 0]])\n",
    "\n",
    "destination = np.float32([[image.shape[1]/2 - dst_size, image.shape[0] - bottom_offset],\n",
    "                  [image.shape[1]/2 + dst_size, image.shape[0] - bottom_offset],\n",
    "                  [image.shape[1]/2 + dst_size, image.shape[0] - 2*dst_size - bottom_offset], \n",
    "                  [image.shape[1]/2 - dst_size, image.shape[0] - 2*dst_size - bottom_offset],\n",
    "                  ])\n",
    "\n",
    "\n",
    "warped = perspect_transform(image, source, destination)\n",
    "# Draw Source and destination points on images (in blue) before plotting\n",
    "#cv2.polylines(image, np.int32([source]), True, (0, 0, 255), 3)\n",
    "#cv2.polylines(warped, np.int32([destination]), True, (0, 0, 255), 3)\n",
    "# Display the original image and binary               \n",
    "f, (ax1, ax2) = plt.subplots(1, 2, figsize=(24, 6), sharey=True)\n",
    "f.tight_layout()\n",
    "ax1.imshow(image)\n",
    "ax1.set_title('Original Image', fontsize=40)\n",
    "\n",
    "ax2.imshow(warped, cmap='gray')\n",
    "ax2.set_title('Result', fontsize=40)\n",
    "plt.subplots_adjust(left=0., right=1, top=0.9, bottom=0.)\n",
    "plt.show() # Uncomment if running on your local machine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}