{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Geometries in pyFAI\n",
    "\n",
    "This notebook demonstrates the different orientations of axes in the geometry used by pyFAI."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Demonstration\n",
    "The tutorial uses the *Jypyter notebook*. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "start_time = time.time()\n",
    "%pylab nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using pyFAI version 0.16.0-dev0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/users/kieffer/VirtualEnvs/py3/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import pyFAI, pyFAI.detectors\n",
    "print(\"Using pyFAI version\", pyFAI.version)\n",
    "from pyFAI.gui import jupyter\n",
    "from pyFAI.calibrant import get_calibrant\n",
    "from pyFAI.azimuthalIntegrator import AzimuthalIntegrator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use a fake detector of 1000x1000 pixels of 100_µm each.\n",
    "The simulated beam has a wavelength of 0.1_nm and the calibrant chose is silver behenate which gives regularly spaced rings.\n",
    "The detector will originally be placed at 1_m from the sample."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "wl = 1e-10\n",
    "cal = get_calibrant(\"AgBh\")\n",
    "cal.wavelength=wl\n",
    "\n",
    "detector = pyFAI.detectors.Detector(100e-6, 100e-6)\n",
    "detector.max_shape=(1000,1000)\n",
    "\n",
    "ai = AzimuthalIntegrator(dist=1, detector=detector, wavelength=wl)"
   ]
  },
  {
   "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc58622e8>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"Inital\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Translation orthogonal to the beam: poni1 and poni2\n",
    "We will now set the first dimension (vertical) offset to the center of the detector: 100e-6 * 1000 / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "poni1: 0.05\n"
     ]
    },
    {
     "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc5109ba8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p1 = 100e-6 * 1000 / 2\n",
    "print(\"poni1:\", p1)\n",
    "ai.poni1 = p1\n",
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"set poni1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's do the same in the second dimensions: along the horizontal axis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "poni2: 0.05\n",
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1000.000mm\tCenter: x=500.000, y=500.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n"
     ]
    },
    {
     "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc50ac1d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p2 = 100e-6 * 1000 / 2\n",
    "print(\"poni2:\", p2)\n",
    "ai.poni2 = p2\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"set poni2\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The image is now properly centered. Let's investigate the sample-detector distance dimension.\n",
    "\n",
    "For this we need to describe a detector which has a third dimension which will be offseted in the third dimension by half a meter.\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1199.9166309063644\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc5052198>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#define 3 plots\n",
    "fig, ax = subplots(1, 3, figsize=(12,4))\n",
    "\n",
    "import copy \n",
    "ref_10 = cal.fake_calibration_image(ai, W=1e-4)\n",
    "jupyter.display(ref_10, label=\"dist=1.0m\", ax=ax[1])\n",
    "\n",
    "ai05 = copy.copy(ai)\n",
    "ai05.dist = 0.5\n",
    "ref_05 = cal.fake_calibration_image(ai05, W=1e-4)\n",
    "jupyter.display(ref_05, label=\"dist=0.5m\", ax=ax[0])\n",
    "\n",
    "ai15 = copy.copy(ai)\n",
    "ai15.dist = 1.5\n",
    "ref_15 = cal.fake_calibration_image(ai15, W=1e-4)\n",
    "jupyter.display(ref_15, label=\"dist=1.5m\", ax=ax[2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We test now if the sensot of the detector is not located at Z=0 in the detector referential but any arbitrary value:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector ShiftedDetector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n"
     ]
    }
   ],
   "source": [
    "\n",
    "class ShiftedDetector(pyFAI.detectors.Detector):\n",
    "    IS_FLAT = False  # this detector is flat\n",
    "    IS_CONTIGUOUS = True  # No gaps: all pixels are adjacents, speeds-up calculation\n",
    "    API_VERSION = \"1.0\"\n",
    "    aliases = [\"ShiftedDetector\"]\n",
    "    MAX_SHAPE=1000,1000\n",
    "    def __init__(self, pixel1=100e-6, pixel2=100e-6, offset=0):\n",
    "        pyFAI.detectors.Detector.__init__(self, pixel1=pixel1, pixel2=pixel2)\n",
    "        self.d3_offset = offset\n",
    "    def calc_cartesian_positions(self, d1=None, d2=None, center=True, use_cython=True):\n",
    "        res = pyFAI.detectors.Detector.calc_cartesian_positions(self, d1=d1, d2=d2, center=center, use_cython=use_cython)\n",
    "        return res[0], res[1], numpy.ones_like(res[1])*self.d3_offset\n",
    "\n",
    "#This creates a detector offseted by half a meter !\n",
    "shiftdet = ShiftedDetector(offset=0.5)\n",
    "print(shiftdet)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector ShiftedDetector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.000000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1000.000mm\tCenter: x=500.000, y=500.000 pix\tTilt=0.000 deg  tiltPlanRotation= 0.000 deg\n"
     ]
    },
    {
     "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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qMg0DEV65ZVX0LdvX9SoUQMhISGIiYlBZmam5Xv1ww8/ICcnBzVq1EClSpUCAmSjRo1cxQ/Kc5NYMKALAM899xzat28Pj8eDmjVrYtSoUcreWhXofvbZZxgxYgSaNm0Kn8+HkJAQNG7cGBMnTjRdQZBvQxaDLov164lBl8VisWw0dOhQNGvWTJm7ZbFYLNaNLwZdFovFUujatWu47bbbjPwri8VisW4+MeiyWCwWi8VisW5JMejehDp06BAmT56MNm3aoHLlyrb5rjVr1qB58+YIDQ1FYmIi/vrXv1o+5/Tp0ygsLESNGjUQHh6OYcOGKSfmd+7cic6dO8Pj8aBhw4ZYsmQJ/v3vf5f1l8ZisVgsFotVZmLQvQn10ksvITY2FiNGjECLFi2UoLtx40Zjmvqtt97ClClTULVqVezatcv0ef369UNMTAw2bdqErVu3IiEhAW3btjXV8Rw6dAjh4eEYOnQo3njjDSxduhQhISGmZQMsFovFYrFYN5oYdG9CiZ2o2dnZStBt0aKFZYtUamoq+vfvb/z3+++/D03TTGtEP//8c1SqVAmbNm0yPjZ58mQ0btzYVK4+Z84cREZG4vLly2XxJbFYLBaLxWKVuRh0b3KpQPfw4cPQNA1bt241fXz58uUICQkx4HTevHmoWbOmJYKQlJRkql+KjY3F3Xffbfqcffv22dY3sVgsFovFYt0IYtC9yaUC3W3btkHTNBw6dMj08ddeew2apuHAgQMAgBEjRiAtLc1ym6NHj0ZKSgoA4Pz589A0DatXrzZ9zpUrV1CpUiVlhymLxWKxWCzWjSAG3ZtcKtDdsGEDNE2zrFDdvXs3NE3Dzp07AQC9e/dGVlaW5TanT5+O5s2bA9AXFWiahs2bN1s+z+fzYdGiRbaP7cyZMzh+/Lhxjhw5gr///e/46quvTB/nw4cPHz583J6vvvoKu3fvNsXpWCw7Meje5LqRQTfQNiw+fPjw4cOntEdewcxiqcSge5PrRo4uyI7uBx984H+CCoWmefzHC03zopIWrp9K1VGpUnVUrhSJypUiUaVyDVSpXAtVKtdC1Sq1Ua1KPYRUjUZotQbwVIuFp1osvCFx8IU2RXhoc0R4WqG6Jx6RnkTU8LZDLW971PGmoK43FdFh3RAT1hMNvb0Q5+2HZt4stPIMRrwnB4me4UjyjESy5w6keMYgzTMW6Z5x6BWWh76+fAwIL8CgiAIMva0QwyMLMbpmIcbWKkReVCEm1SnA1HoFKI7Ox13183FvzHjMiR2P+Y3HYmHcWCxuMhoPN8vF8hYjsaLVcKyKz8G61kOwPnEgNiZl4YUO/fBixz54OaUXtqdl4G/duuKtHql4p3cn7OzfHruy2mH3kNbYM7wVPh7VHP8YG4f9+Q3x2cT6+HxqXRycURuHZkXiy9nVcXhOGI7MD8XRhdVwdHE1HHuoGo49GoJjj3lw7MlwHFtVHcfW1cKxZ+ri6MZYHH2+EY5saY4jL7XE4b+2xuHtSfjytY449EZnHPp7N3zxbi988V5fHPxgIA7+bzY+3z0Mn+8ZgQMfj8WBT/Jx4B8TcWD/FBz4bAYOfH4nPj/4G3z+xb04eGguDh6aiy++nI9Dhx/AoaOLcOjoInx5bAm+PLYER776o3GOfv2o6Xz1zWOlPvJt0RHv78hXfzQex5fHlhiPzTiHHzCdL76cbzr0tdH5/It7zefgb5TnwOd3lsuxuz/5ccmPW/665K9b/r6I3zP5+2n3fS/Ln6Xq5yf+zMSfDf0cDnx+p/67uX+K/rv6ST4OfDwWn+8Zgc93D8PB/83GwQ8G4ov3+uKLd3vh0N+74dAbnfHlax1xeHsSDv+1NY681BJHtjTH0ecb4ejGWBx7pq7+N7Squv439ZhH/xt7SP+bO7qwGo7MD8XhOWH4cnZ1HJoViYMzauPzqXXx2cT62J/fEP8YG4ePRzXHnuGtsHtIa+zKaoed/dvjnd6d8FaPVPytW1dsT8vAyym98GLHPnihQz9sTMrC+sSBWNd6CFbF52BFq+FY3mIkHm6Wi8VNRmNh3FjMbzwWc2LH496Y8birfj6Ko/MxtV4BJtUpQF6U/pyVW0N/Dht6WyEGRRRgQHgB+vry0SssD+mecUjzjEWKZwySPXcgyTMSiZ7hiPfkoJVnMJp5sxDn7YeG3l6ICeuJ6LBuqOtNRR1vCmp526OGtx0iPYmo7olHhKcVwkObwxfaFN6QOOP5OrRaA4RUjUa1KvVQtUpt4/m9SuUaxvM+vQ7Q6wK9TpS8bugryr/66qvSvGyy/j8Tg+5NLqdhtJdfftn08cceewwhISHG5Z558+ahVq1altts3769ZRht1qxZps/55JNPoGnBDaORO6xpHlSq5EWlSj7jVK5UXT+VI1Glck1UqVwTVatE+U8dVKtaDyFVGyC0Wiw8IY3gCWmEsNCmCAttasDtbd42iPS2Ra2wZET5OqGuLw3RvnTEhPdCbHgfNArvhya+gWjhG4LbfcPRJiwX7cLGItmbhxRvAdK8E9HdOxk9vFPQN2waBviKkB0xAznVZyA3shhjasxEfq2ZmBA1E0V1Z6K43kzcFT0T9zYoxtyYYixoNB0LG0/Hg02mYWmzqVjRYjKebDkJ626fgPWtC7ApcTxeaDsWL7e/A9uTR+LNlGF4u8sQ7EofiA8zBmBPz374pF9PfNq/O74YnIbDOZ3x9agOOD46Cd/lJeDHia1wampz/FIchzOzYnHuvmhcuL82Li6oicuLI3D5IR+uLPPg6uMhuLYqBNfWhuDa06G49pwP1/5SHddeisK1v9bDtb81xNXX43D17Va48m48Ln+YhMu7k3Fpbxdc/EcGLhzogwsHM3H+y2ycO5KDc1/fgbPHx+HsiXyc+WEqzvw0A2dO3YUzP9+DM6fn4MzZeTh77gGcPb8I5y4+iHMXH8T5S4/gwuXluHh1BS5eXYFL11bh0rVVuPLPtbjyz7W4+q+nTeef/95Q6iPf1tV/PW3cDx26/0vXVhmP6eLVFbhwebnpnL/0iHHoazl38UGcPb+o5Jx7wHTOnJ1nPafnWM/P95TPUd2X4jHJj1v8msSvVfweyN8f8Xsnfk/l77fqZ1KWP2P55yr+PMWfHf28jJ/Jz/fov7s/zcCZH6bi7Il8nD0+Due+vgPnjuTg/JfZuHAwExcO9MHFf2Tg0t4uuLw7GZc/TMKVd+Nx9e1WuPp6HK79raH+t/RSlP639ZxP/1tbq//tXX08BFeWeXD5IR8uL47AxQU1ceH+2jh3XzTOzIrFL8VxODW1OX6c2Arf5SXg+OgkfD2qAw7ndMYXg9Pwaf/u+KRfT+zp2Q8fZgzArvSBeLvLELyZMgzbk0fi5fZ34IW2Y7EpcTzWty7Autsn4MmWk7CixWQsbTYVDzaZhoWNp2NBo+mYG1OMexsU465o/Tlrcm39OSy/1kyMqTETuZHFyKk+A9kRMzDAV4S+YdPQwzsF3b2TkeadiBRvAZK9eWgXNhZtwnJxu284WviGoIlvIBqF90NseB/EhPdCtC8ddX1piPJ1Qq2wZER62+I2bxsDeun5mp6/Q6vFIqRqA1SrWg9Vq9Qxnu/p+b9y5UjjdUF8rahUiYBXw/Hjx12//rD+/xWD7k0up3qxsWPHmj6WlpamrBd74403jI8dPHhQWS8WFxeHq1evGh/73e9+h8jIyKAyUmbQtQKuFXLrKCHXGxKHsNCm8IW2MEFuzbD2qBWWjDq+VNT1paG+rztiwnuhUXg/NA4fgGa+wWjpy8HtvuFIDBuNdmFj0dGbj1RvIbp6J6G7dzL6hE1Dpq8Ig8KnY0jEDIy4rRi5kcXIqzkThVH6i8T0ujrgzm5QjN/GFGN+wxl4oNF0LIkrwiNNp+Hx5lOwssVkrLl9Ap5pXYCNbfKwOXEctiaNxrYOo/B6ynDsSB2Knd0G4cOMAdjbuy/29e1lAO6XQ1JxbGSyAbg/FMa7A9wVIbi2OgTX1oXi2oYwXHs+AtdeiMS1rXVKAPfNpjrg7kzQAXdPCi7t66oD7sFMnD+UpcPtsZElcPv9xBLAtYFbEYzKG25LA7WBYNYOZG3hVQTNU3eZz08zzOeHqc7n+4nuTqDbke9Xflx2cGwHwwoQtoPg0sBvRUEv/ZyV0Es/n+8nlkDvsZE69B7KwoWDmTrw7uuKy3tSdODdmaAD75tNS4B3ax39b+35CP1vb10orq0OwdUV7oD3h8J4A3iPjUzGl0NSDeDd17cX9vbuiw8zBmBnt0HYkToUr6cMx7YOo7A1aTQ2J47DxjZ5eKZ1AdbcPgErW0zG482n4JGm07AkrggPNJqO+Q1n4LcxxZjdoBgz6+nPYZNr689peTV12B1xWzGGRMzAoPDpyPQVoU/YNHT3TkZX7ySkegvR0ZuPdmFjkRg2Grf7hqOlLwfNfIPROHwAGoX3Q0x4L9T3dUddXxrq+FJRKywZNcPam2DXF9oCYeTwKmG3jhV2FcDLoMsKRgy6N6EuXLiAzZs3Y/PmzejYsSPi4+ON//7xxx8BAM899xwqVaqE+fPnY8eOHZg6dSqqVq2K999/33Rb/fr1Q2xsLP7yl7/g5ZdfRps2bZQLI3w+H4YNG4Y333wTy5YtK9XCiBLQ9V63kytDrpOTS5DbwjcErcNGok1YLtp7xyHZm2dAbg/vFANys8KnI6e6DrmjaxRjXE3dAZEhd25MMebFzsDCxjrkLm02FcubT8GTLSdhjd/FfS4hDy+0HYutSaOxPXkkXk8Zjre7DMHOboOwu3t/7OnZD/sze+CzARn4YnAajgxLwbGRyfh2TDt8l5eAnya1xKmpzXH6zkY65M6phwv318alhZG4vDgCV5Z6cHV5KK4+4Yfcp/2Q+5fquLalpv4CvD1Gd3B3NMeVd+NxZVdbVw6uAVciJAmAK0KuW8AtD7h149bagq0KagMBrR3ESmB69kS+9RwfV7ZHcR+OgKwC4QAArIJfGXyDdX3LA3rduLziz/3M2Xnmny0BrwuH98qutrrDu6O57vBuj9H/1rbU1P/2NoTpf4urQ3D1iRBcXR6KK0s9uLw4ApcWRuqwO6cezsyKxek7G+HU1Ob4aVJLfJeXgG/HtMOxkck4MiwFXwxOw2cDMrA/swf29OyH3d37Y2e3QXi7yxC8njIc25NHYmvSaLzQdiyeS8jDej/sPtlyEpY3n4KlzaZiSVwRFjaejnmxMzA3phi/qa+7uwS7E6JmYlzNmRhdQ4fdnOozkCXAbg/vFAN2k715aO8dhzZhuWgdNhItfEMM2HXr7BLsXo+zq8cYGHRZ7sSgexPq6NGjtuF8MUqwZs0aNGvWDCEhIWjTpo3jCuDIyEiEh4cjJycH3377reXzdu7ciZSUFISGhiImJgaLFy8OegWwCLoV5eRSVKGlLwetw0YiMWw02nvHGVGF9CCjCr+pr18GnBeru7iLGhfh4SbTsKzZVKxsMRmrWk3EM60LsCEhH5sTx+HFpDHY1mEUXus0AjtSh+K9roNtYwoEuCfGtzFiCkEB7nM+3VWiiAIBrhxRIAf3QB+1gyvHE0TgqSC4DRZsXbm1dkBrB7IKgFUB67mv7yg5x0aWnCM5lnP+y+wyPar7MD0G4bGpAFkJxHYgbAfALlzfigDfUkGv+PtgF2sQHV4C3n1d1ZGG7TElkYYXIksiDUEA748TW+HE+DYG8NrFGd7rOhg7UofitU4jsK3DKLyYNAabE8dhQ0I+nmldgFWtJmJli8lY1mwqHm4yDYsa6+7u72Jn4N4GOvAW19Of29xEGdKFKEN77zgkho1G67CRaOnLMUUZKsLZZdBlBSMGXVaFyQ50Swu5kd62BuTKTi5BbjPfYNzuG26C3I7efANye4VNRZ+wacgKn47siBkYVr0Yo24rgdxJtWdiap2ZmFlvJmZF61EFcnH/EKdD7vLmU7CixWSsbjURT8cX4rmEwFGFT/r1xIGsdMPF/XpUB3w7ph2+L2itQ25RU5y+sxHOzq6Pc3Pq4eKCmjrkPuTTIfdx/YXz2sdYjR8AACAASURBVLpQXHvWY44pbKuvAy7FFHa1xeUPk3Bpbxdc2tfVvYPrIqJQnoBrF0mwg9tSga0N1KpcWAvM2gHsoSzjXDiYaT0H+pTNUdy2eN+2QCxBsModdoTfIMDXDfQ6RRzKA3hdRRpcOLyX9nXVHd4Pk3BlV1sjznD19Thc21bfHGd41oNr6/Q3plcfD9Fh9yEfLi2MxMUFNXFuTj2cnV1fh92ipvhxYit8X9Aa345ph69HdTDc3QNZ6fikX8+AUYbnEvLwdHwhVreaiBUtJmN58yl4uMk0/CGuCAsa6e7ub2OKMStajzJMraM/1xHsjrqtGMOqFyM7Qnd3+4RNQ6+wqQbsdvTmm2D3dt9wNPMNNsGu7OzWDGuPSG/b64NdBl1WKcSgy6owEehW0sJtndxqVesFhFyKKqicXIoquBk66xU21YgqDPFDLkUV5DyuOHBGLu7SZlPxePMpWNVqItbdPgEbEvKxKXE8Xkwag1c65OK1TiPwVuccvNd1MD5Iz8Kenv2wr28vfDYgAwcHdbPEFAhwfymOw9l7YnQXd36UDrhLwt0DrpuIQgAH103+VgUnZQm3QYGtE9SKTq0KaFUgK0OsClz9wHnx0576+UeGcS7t62o+e7tYzuU9KaU6qtuS7098LPT4VIAsQrEFhhUgrARg0fl1gF+7uIMT+JYV9Mq/V65yvA4Or+tIgxvgXRKuu7vzo3TgvSdGz+76gVeOMxwc1A2fDcjAvr69sKdnP3yQnoX3ug7GW51z8FqnEXilQy5eTBqDTYnjsSEhH+tun4BVrSbicSHKsKhxkWVQTcztUpRhWHU9t0tRhl5hU10NqVGUQeXsUpQhEOyKUQbZ2dWbGBh0We7EoMuqMMmgWxZOrgy5gZoVunonGU5uX7+TKw6dqSB3doNi/C52BuY3nIFFjYvwoD+qQK0KT8cXGq0KW9rpUYVXO47EjtSheCctGx9mDMBHPTKNqMKh7C44nNMZ3+S2N1zcnya1LHFx74nB+bl1dMhdVF2HXGpTkIfN5ByuatDMDzlGTCFIB9dNRKGsB4qcYMQRbu3cWjuwldxZJdTaAK0MsSYg3Z1ccj5Mspwru9pe11Hdpuk+VWAsQ7ANACvhV3CBbcHXzvV1Cb1O8YbrjTaUOtIQyOGlOMOnPdUDa3J+Vx5Wo3aGJeG4tKg6LsyPwvm5dXD2nhjD3f1pUkvD3f0mtz0O53TGoewuRpThox6Z+DBjAN5Jy8aO1KF4teNIbOswClvajTFaGZ6OL7S0MixqXIT5DWfgd7EzMNsGdsUhtazw6egrOLtdvZNcNTLYwe71OLsMuqxgxKDLqjAZoFupesDBs1B/P67ekVu6TG4wTq4d5No5uSv8edxgnFyKKhwd3glfj+qAE2MT8X1Ba5yc0gI/z2hiRBXOz62Diw/UwKVF1XHlj14dcuVhM8ribqtvblOQXNyLn/Y0ubjnvr6jBFAIShwAt6wjCqVxb1WRBLdwK8YPZLAVowYi1CqBVoZZBcQaILozoeS8G2+cq2+3sj87mjsfh38r3ofpvlVQLIGwCMFKABbhV4xByOArRh7cQq8i21ueLq+bSIMj8NLvl//3in6fyN2l3xnR3TW1M2yrX5LdlYbVrizz4Mofvbi0qDouPlBDh11/lOHnGU1wckoLfF/QGifGJuLrUR1wdHgnI8pQWmeXcruBnN3cyOCc3dJmdun5np7/nQbUKlWqzqDLci0GXVaFiUBXXwRReic3ytcJdXypiPalm5xcalYgJ1duVlDVh43yNyvk+ZsVptZRD53J1WHr/NVhzyXkYUu7MdiaNBqvdtS7cd9Jy8au9IH4qEcmPu7TG5/2746Dg7qZBs6MRoWipjh9V0N1Fpcqw1Yp2hRo2MwGcMnBdYwpBHBwyxNu3Ti3FrCV4whuoFZyai1AK8GsCWRVACtDK4Hom02NfCada39rWHK2x1jPtvqlO6rbEu5LfAzG45KA2QTGMhDLICxBsAqA5ciDK8dXiDnYZXuDcXrLI8frCLyKOINpYE0FvDSsJrczrDJXkVmyu3c1NNxdMcpwOKczDg7qhk/7d8fHfXrjox6Z2JU+EO+kZePNlGF4taPeyrCl3Rg8l6BXkK32D6nJFWTzpCG1qXX058Q8f4xhVID6MbGRgZzdZr7BJmc32peOOr5URPk6XZezW7lSJIMuy7UYdFkVJhF0nSrErsfJFeMKHb35RlxBdnLF+jAZcmno7Hd+yP2DH3Ll6rCNbfJMCyDe6pyDt7sMwQfpWfioR6apG5eWP4hRhZ9nNMHpuxri3H3Ruosr9OJeXR6qQ6689MEui+uHEiOmoBo0kyAjkINb3jDh6NyKsQS7rK1dFEHl1jqBreDOmhxZEWoVMGuBWALRv9YrOVvrlJyXoqxnS83gjuo2xPsQ71sGYxmERQiW4dcPwLIL7AS+StdXFXWwy/Y6xBsCOb1l/Tvq6PDKb7ZUA2sUZ/D/jtlmd6VlE1dX6M0MYu/u+bl1cO6+aJy+qyF+ntHEFGWQl0zs69sLH/XIxAfpWXi7yxC81TnHtGBC7NulCrJHmupDatTIQENqKtiV68fI2aUYA3XtqmIMwTq7TtVjDLqsYMSgy6owEehWqVyjzJxcu45cuVnBqT5skj+qMLNeST+uasvZKn+rwoaEfKMb95UOubatCgcHdbMsf7BtVLDL4qq2mr3Z1B3gyhEFB8BVDZmVBh5KXeQfyLlVga0cQ1BArZ1TKzq0FmdWhlgZYEVoJQB9IVI/f6mun+cjSs5zvpKzIcx6nvW4O6p/K962eJ/0OOhxyaAsQrEIxCIMS06w6AA7Or8K+BXjDo7gex1Ob3n83jpmeFXAS5GGQMArLpsQt6vZZHftmhnkJRMHB3WzbWV4pUMutiaNNqIMT8cXYpW/lUG1TU1cLiE2Mqjqx1SNDHZdu2Xh7FapXINBl+VaDLqsCpMMutfbkyu3K8jbzuSO3EF+J5fqw/Jq6k/gRX7I/U19HXJp6GxJXBGW+ZsV7KrDXus0wrQAYm/vvtif2QMHstJxOKczjg7vpI4q+AfOLNvN7HpxKYvrd3Etw2ZSm4LTNjPVml4RFsoKFFxNuNsN/tgArsW1DQS3CrA1nDUZbGWoFZ1YGWZliJWh9enQkrNOOGtDrGe1y6P6t+Jti/cpw7EMwzIEi86wAn5l8JWjDyL4uoZeOeIQyOl1AbzXm+WVf4/t4gznLj7ovGVNamewDKv5fwct2V2pd1feqmYMqimiDEeHd8LhnM44kJWO/Zk9sLd3X9OCCblvV6wge7z5FCwTGhnmNyxZLjHT37U7qbb+nEn1YznV9RiD3LWr2qImtjGURc8ugy4rGDHosipMJaBbq8ycXHkRhMrJFTtynYbOficsgXikqd6sIEcVtrQbg5fb32EMnL2Tlm1EFT7p1xOfDcjAoewuODIsBd/ktseJsYn4oTAeJ6e0KFnhS7VhoouryuIGCbiGi2vTpEAv0GUZUXADt44l/QGcW0ewpRiCBLU09W6JHchAK8Ks6MwSyIoQK8KrCK0Eoav0c/UJ/1nhP48LZ3mo5VxZ5gnqqG7DdB90v/7HQY/LBMsyGBMQizBMIEzfFxmCVQAsuL5G3ldwfOnnVSrwtRlmc4o2XE/9nZtIgy3w+hsa7AbWAgKvXXZXaGagJRO/FMfh5JQW+KEwHifGJuKb3PY4MiwFh7K74LMBGUYrwwfpWXgnLdsUZdjSbgw2tjFvU1vWbCoeaWpdLuE0pJataGRQde2KK4Ov19mtUrkWgy7LtRh0WRUmAt2qVWq7WusbyMlt6ctx5eQOERZBjKupX4Kb7HdyxfqwBY3MSyBWtpiMNf6hM8rjvtIhF692HGlA7q70gaZ+XGpV+Ca3PU6Mb4MfCuNxampzUzeuEVWwc3FVWVw/PMhLH8StZpaYgouqsPIAgTIDXBoks3FtjTiCXRTBCW5Fl1YEWxXUrnWAWQFiDSBdKpw/eo1z+SGf+SwJL92Rbke8D9N9i3AsgrAKggmAVfArg68YfXABvYbjS9Br4/YaA23lBLxl8UbOVSWZKr/rf7OmXDaxM8E5uyu5u6YoA3XuTm2uw+74Nvgmt73RyiD27cpDaq90yLXkdlcqlkuI9WNFftjNr6XDLi2WGKLYoqZydlv6ckrl7MrrgqtWqc2gy3ItBl1WhYlAt1qVeq6WQVyvkztI6MilRRAT/E6uPHRGm87slkDIW852pQ80ogp2rQpUG3ZmVizO3ReNC/OjcPGBGiXLH+xcXLssruDiWgBXdHFdNimU1Qt/oOEdI89IE+vUSSr3ksrOrV0cQQZbJ6h1A7QSzNpCrACvJlBdHKGvdF1UXT8LI/Wp+Qdq6GdBTdO5MD/Keu6v7XwU/0a+Xbo/un96PPT4RFA2QbENDCshOBAAO8CvCnxVMQc7p9e0qIJ+j/y/V/IQm9t6vLKONCiBV4ozEPCK7q5jdld2d/1LJi4+UEN3d++LxplZsUYNmV0rA0UZaHWwuE3NroLsD3FFWNjYOqQ2ubb+XDpOGFKjRoaycnadlkpUq1KPQZflWgy6rAqTCLp2Tq7dMgg7J5cgV3Zy7badTa2jX4KbFW1fH/Zky0lY548rbE4chxeTxljyuFQdtj+zhzF05tSqcOH+2iUbzsSBM9HFdYgqEAgolz4o6sLscrildbeCKdyny7mOpfuqaILk3MpZW4trK8Otk1vrFmxFqBWdWD/QijArg6wIrOfn1jHOuTn19HNftOWcnV0/qKO6Dbp98T5FQFaCsAjBIvwSAIvw6wZ87VxfFfTKbq+c7VU5vXbRBpvWBtXv//UCb6A4g21+166d4VCW8UYuYJRBdHfFQbWFkbhwf23HVgYaUtuf2QMf9+ltDKmpcrvrWxdgnT/GYFc/Niu6GNPr6s+ldlvUVM4uwa5bZ1cVY6DXDQZdVjBi0GVVmAh0Q6pGu9p4FsjJTfbmWZxcVUdufq2S+rCZgpM7z+/k0tDZihaTjaEzVXUYbTnb07OfkcdVRhWEVgV5+cPV5bozc21tSAkgkBO2PcYMuLuTjRd+uRPXzsV1m8MtiwYFx/WpNhPpcg2TnLlVOreBwFbl2MpQGwBoLTBLICs6sH6AFcH17Oz6OHtPDM7eE4Mzs2JxZlYsTt/VUD93NsLpOxvhl+I40/l5RhPLOVXU1PGo/o18u3R/dP/0eOjxGaAsgLHoFhMMEwhbINgJgGX4VTm+FHewA18bp1eZ6ZWhVxFtcFpjfb1NDUHnd23cXfobMNxdGp4k4KXf85eiSt6w0e/z8lDbJROnipoGjDLQNjVVBRkNqa1oMdkYUlvYWIddcnZnCvVj+bXUXbuys5vszXPl7AbaoBZSNZpBl+VaDLqsChOBbmi1BgboljaTq3JyxW1ndh258iKIQPVh4hIIecsZDZ0dH52EE+Pb6NVhU5ub1vhSq8KVP3p1OHhCWOEru7iKqIIli2u31SyIhQ9l7eCWFeAGdG4pkkCurRPcym6tDdiSs0luJ0GfyY1VAK0KZE3AOrW5cU5OaYGTU1rgp0ktTefHia1KdeTbodsX71MEZBUI2wGw4QgT/JILTA6wHfjKri9BryrmILm9AZ3eMgbesnZ43SycsN2upsjuKqMM8qDaulD9d/vxEP33WW5luLMRTk1tjh8ntsKJ8W1wfHSSMaRGfbu0TU1eLvFC27G29WNuFkuIK4MzfUXX7eyKmV0C3dBqDRh0Wa7FoMuqMBHoeqrFuho8kzeeOWVy7Zxcp/qwB5tMM5xcGjrblDgeW9qNMYbOdqQOxXtdBzvmcS1RBbtWBVr+8HyE/oIvbDdT9uKqKsNcAG5pXdygu0TpBVwewBE3RglT55bcrSKWYAySkXOrytrKYOuPIYiOrQVqJafW4tAKMCuCrOjAEsCK4PrjxFb4oTAePxTG4/uC1vi+oDW+y0vAd3kJODG+jX7GJhrn2zHtTOf46KSgjvzvxdum+6P7p8dDj48g2QTGgltswLAIwhIEG3EI2fmV4dfv+JriDrLbq8r2ktNLA22KeIMyzytHG+QBNhpekyrKymJwLZi/Gds4g9zMoOrdJXeX/gaEJROqVgZVlEHs21XldmlIbUs7fXUwDamRs/ugf22wXf2YW2dXzOyqNqgFGlDzVItl0GW5FoMuq8JkgG5IIxPkRnrbolZYMqJ8nRw3ntm1K9g5uZNql8QVflNfjyvMbzjDtAhipT+uIK7zFevDxCUQqjyu3dCZaY0vtSo869FfoGiFr+ziqqIKchY3wNIH1bBZWQzbBHRwpeYEC+D6X8BNgGsXTbBzbmmITHZtVXArxxCEDC1tmnICWxFqVUArg6wMrt/ktsc3ue3x9agOxjk2Mtk4R4d3uq4j3pZ4H3S/MhjLIGwHwCL8OoGvCXr9a6vFuANBrxhzsHV73Tq9UrTBAF7R5RVr9hy6pN0MrV1PnCHgsJr4dyNkd1VRBuWg2paa+nPJsx5rK8PCyIBDamJuV1wu8VbnHLzWaYRRPyavDRYXS8xvqMcYCHan1inp2nXj7Kp6duUNalG+TqgVlmwMpxHsekIaMeiyXItBl1VhItD1hsRViJNL287ubVDi5Mr1YTR0Rk6u3dCZnMc1tpwFiCqYWhXoxZxexP2O1eXdycYLt+3iB0UWtywB183lV5MjZefgSoNlbuDWNnNLmcQAYGuKIUiOrezWWoBWAbMmkJUgluBVBNYjw1JwZFgKDud0xuGczvhySCq+HJKKQ9ldcCi7C74YnGacg4O6mc6BrPSgjvzvxdum+6P7p8dDj08EZIJiFQyLICxDsAzAsusrO76mnK+d2yuCr+j0ypneIKBXbCVROrzCFZHyjP3Y/j25yO5eOJhZ8rezO7nkige9GaQ3gWIrg5sog79vV8ztftynNz7qkWkZUiNnl4bU5PoxcnbvVWxRK09n1xsSx6DLci0GXVaFiUDXF9pU6eRG+9INyBWd3DZhudfl5M4VnNyH/XEFcnJpEcSLSWNM63ypPmxf3174tH93yxIIgtxfiuNMQ2eXF0foTpZqjS9149ILtuTiljaqUJYZw4AOrlNEgdaeitnbYAHXxrmlPOLV5aFW11YVR/DDLbm1slMbCGxlqJWBVgZZGVw/G5CBzwZk4NP+3Y2zP7OHcT7p1/O6jnhb4n3Q/cpgLIOwCoBl+HUCX4vzS66vyvGVoNfi9j7h4PSWAniNLK8qx6uINARyeMv6b6tUUQbB3TX+fuTOXXF98FKPDrvCkJqpb1daLkG53d3d+2NX+kDT2uAXk0oWS5Czu6zZVDwsOLtzr9PZbROWa3F2Y8P7INqXrnR2faFNGXRZrsWgy6owEehGeFoZkBtorW+bsNyAPbkqJ1fedmbn5FJ92PbkkXg9ZbhlCQQNnR0bmYzjo5Msedyzs+sHjiqI3bjS8gfDxfW7UKYXZKky7Oz5RRUCuIE2PpkGzBQOrmqwTAm3lLulF2oxcys7tw5ge25OPYtjawe1MtCqYFYEWRliCV5FYN3Xtxf29e2Fj/v0xsd9emNv777Y27sv9vTshz09++GjHpnG2d29v+l8mDEgqCP/e/G26f7o/unx0OMTAZmgWAXDIgjLECwDsB38WhxfB7f3yh+9VqdXzvQS9AoNJSboVQ2wOTm8DvVk5dFcYge8lhiQsFXt7PFx5r8teuMoLJkwde4GiDKcnV3ftDr4+4LWOD46CcdGJuNQdhccyEq3LJd4PWU4tiePtNSPyc6uaouanbNr17Mrw67dgFqkty0iPK0YdFmuxaDLqjAR6Fb3xFucXDmT29KXY+vkij25Kif3rmjdyZW3nckrfTcljjc6cl9PGY63uwzBrvSBpnW+Xw5JxdHhnYw87k+TWuJUUdOSPK7cj0tDZ896Sl6c5W5ciirQQI2QLQwmqlDaYTNXMQVVD6jbiIIbwBVztwS4YjRBcm6NZoQFNc2ubQC4NdxayakNBLYy1MpAK4OsDK4fpGfhg/Qs7EofaJyd3QaZzntdB5fqyLcj3gfdrwzGMgirAFiGXyfwlZ1fcn1l6JVjDqLba9SZ0dCm6PSK0QYZeCkCFAB4g440BGhpKG2cwZW7axNlMK0Qpn5p+huTO3fpTeOzHuuQmti3668f+2lSSyO3e3R4J3w5JNW0NnhX+kC83WWIsVjixaSSGIO4Mljeovab+jrsOjm7dhvU2oTloqUvx5LZlZ3d6p54Bl2WazHosipMBLqRnoSAg2eldXIpkys6ubTtjBZBbEjIx+bEcdiaNBrbk/X6sPe6DsYH6VnY27svPunX0zJ09kNhPE5OaWHJ41r6cYOIKpiWP5DL5NCLW9osbtCA61QRJgKuXA3md5qMbWWUJRTdW7Exwd9xa6oAo8yt5Nxa4ggC2FLGlmII5NiK8QOCWhlo6VK/CLN2IEsAK4Irwec7adl4u8sQvN1lCHakDsWO1KF4q3OOcd5MGWY6r6cMV57XOo0wHbvPk29PvC+6f3o876RlmyBZhGKCYTsQJgim75MMwAS/YuyBHF+KOxgZX8HttcQcZKfXn+k1VZdRV6/Y3CC5vMbKbH9NmRFrECrKbB1eKcNbnsAr/w3a9u6Kw53CkgnXUQa5b1dYHXz6zkY4OaUFfiiMtyyX+KRfT+zt3RcfpGfhva6D8WbKMGxP1uvHNieOM7ao0WIJ2qImOruBMrtunV3VgFqkJ4FBl+VaDLqsClMJ6CYaCyFiwnshNrwPmvgGoplvsCmTm+zNQ4q3wOTkDvAVmTaeqTK5spNLkLtGsdL3zZRheLvLEHyQnmU4uQey0vHlkFRTfRg1K5y9Jwbn5tQrcaIe8ln7caWhM1U3rgVyxenwMowqOFUfUYl+wBYFaZuT6OCaIgrCOl5Tc4IcTxBztyukoTICXMG5FWMJvxTHKV1bGW7JsZXdWtmplcFWBbWiAysDrQixMqy+2nGkcbYnl5xtHUbZnlc65JqO0+eKtynelwzJIgyrAFh0hlXwK4Kv7PzKrq/s+IrQq3R7hXiD6PTKwEtXS0x5XjnWIDY2iGuHhUiD0uGVVwzbtDTQ30tZVPi5ijIIf4cy7Co7d1VDakLf7uWHfKb6sbP3xBiNDHL92IGsdMPZ/SA9C293GYI3U4ZZVgavEWBX5eyqMru0QW2Ar8jk7KZ4C5DszTNldpv5BqOJbyBiw/sYzm4dXyoiPYkMuizXYtBlVZgIdGt525viCo3DB1gGz5K9eUj1FqKrd5Lh5MpxBdp4ViS1K8hOrtMiCNHJ3Z/ZA18MTsPhnM6WoTMjj3t/bX3ojBwncZWvXB2miiqIA2eik2TjIskvquUKuHKZvaoDV+HgmqrBqPeWmhNosExyb53gljK3KudWjiMcH51kZGzFGILo2H7av7vFrbUDWhFmRZCVAVaEVoLSl9vfgZfb34GtSaOxNWk0XkwaY5wt7cznhbZjr+vItyfeF90/PR4RmkUwFoFYBmERglUALLu+BL/k+Mrg+/WoDgb4ijEHW6fXn+kNCL1rhTeYz/lKGhv8vbymijIHh1dZTWYTaShr4JX/Nh1ryPxLJiydu3KUQawge1o9pHbh/toluV2pkeFwTmd8MTjNqB8TnV27xRKysyu2MRTVNW9Qk2MMvcKmoqt3ElK9hRbYbeEbgsbhA0wxhlre9gy6LNdi0GVVmAh0o7zJtqt9RSe3q3cSunsnG05utuDkjqtpXusrtivITi5Brp2Tu6dnP+zP7IEDWenGIogTYxPxfUFrS7MCvegaedxVISXOkgy5qqEzsRtXco9EyC3rqIJjDldVcSS1KCgzuHYRBbkaTAW44mCZE+AKzi0NktEQmezaOsEtubV2YEuX+8n9lKFWBloRZmV43Zw4zjibEscbZ2ObPOM8l3B9R7wt8T7E+5ahWIZgGYBF+KXvA31f7MCXXN9goNcYavMPtIlOryvgXRKuBl65oswu0mCX4ZVaGuzy8mXVfBIoyqCE3R+mmjp3Aw6pbalZciXFn3+n+rFLCyMtjQzfF7TGibGJODYyGYdzOuNAVjr2Z/YwtqjZObtPxxdanF1VG8OEqJkYJzi72YKz2907GV29k0zOrt2q4ChvMoMuy7UYdFkVJgLdOt4U265cgtw070R09+dyB/i7codV1zNe42rORKG01ldcBiEPnhHkUk+uXbuCGFewy+TSi+zVFZKTK246C9bJLaeoQlCl9XaDZqqaMHnITIwoUAZXbk+g/K0fcMXBMsre0lCZGE0wmhKkWIKYt1XBrRhFEOHWzrElwJOdWoJa0ZkVgVaGWALRDQn52JCQj/WtC4zzjOI8HV8Y1FHdhngfdL8yEIsgLAKw6AIT/IrOrwi+KsdXBb17e/dVQq+Y65XjDdTgIEYbjCE2f5ZXHGATgdc0vEbAK2Z4KdIgDa2paskcB9bKYVlLqaIMbp1d1SY10dldEm7p2hUzu2KMQdXGIPbsijEGuXqMlkrQuuBCP+yOuk2H3UHh0zHA37Hb3Z/XJdi169it401h0GW5FoMuq8JEoBsdlmbUiJGTSwshRCe3T9g0ZPqd3JzqM5Ab6c7JXS4NnlFcgZzcd9Ky8WHGAIuT+/WoDjgxvg1+KIw3XmjlZoWry0NL8rhifRhdJnUYOjNeOIPoxq1owFX24IotCnYOrhhREHpvbeMJwmAZddzSUBlFE6glQXRuCWwPZKUbYKuKI5BjK0MtRRBkp1Z2aEWQFSFWBFgZVtfdPgHrbp+ANf6zutVE01klnSdbTirVkW9Hvh+6f3o8MiTLQCzCMIGw7ACrnN/XU4Zb4JccX4o5iBlfAl9qdTiU3cXk9FKLA0UbaIiNunrFATa7WIOll1eMNKgcXkVLg6mH91cAXredu3IFmXJIjeJEivqxq8tDbRsZfiiMx4nxbfD1qA4WZ/fDjAF4Jy3b5OxSjIEG1FRLJVTObm5kMXKqz0B2xAxk+orQR3J2xYUSLX05Ru1YdFgagy7LtRh0WRUmAt0GYRmuGhZo5xSx1AAAIABJREFUIURO9RmGk5tfayYm+xsWZkXrGTDVMgjV4JmTk2vXrmDK5FJH7tqQkkukYn0YOUU2Q2emS6EBXiivF3JVSx8CZnFVXbhuHFy7iAJdIvVPe8vurQpwVdEE2bmlhgSKJMhw+17XwQbcivnaVzuqnVoV2KqgVgRaGWZleF3ZYrJxVkjn8eZTyuTItyvepwzFKggWAVgFv3bgKzq/IvRS1OHtLkOMmIOY7aWIg9jkIDq9qmiDCnhVLi+tHzY6ee0iDW4cXrmDN1B2V7Fsorxg13ijKleQqYbU/H+3pvoxcnbXmrt2jcyuQxuDk7MrD6iplkrc26AYs6KLMb2u/hyeX6vE2c2pXrJQwk0TQ4OwDAZdlmsx6LIqTAS6Db29DMgVnVwxrkCrfcnJHVNDv+Q1ubYeV5gVrccV5sXOwKLGRXjQZhmEOHgmO7kHB3XDkWEpzk4uNSuITi41K0j1YfRCaVwGVW05K8NuXLcubqkBl7aYkYNLzpDKwZXqwaj3VmxOkN1bWuIgwy3FEqglgRoSROdW5dqKg2Pk2MpQS5ftZaC1g1k7iJWhdbn/LGs21ThLhfNI02mW83CT0h3VbYn3JT4GelwyHNvBsBMEiwBM30cZfsnxlcFXdnvFgTZqcqAWBzneQNBLyylULq/R2CC0oZhiDXYOL7U00NWYd+PLDHhL4+4G3bmr2qbmvxpDf8fK+jGxkWF5aEkjg4Oze2RYCg4O6qZ0dmlATbVU4sEm07CocRHmxeoxhlnReoxhcm39OX1MjRJnV1wVLMYYyNkl2G3o7cWgy3ItBl1WhYlAt7G3j6VhQe7KFRsWxtTQq2km19and8nJnefvyn2wif5CL671VQ2eiU6uqidXblewbDsjJ5c6cgPVh6kgV3BynSC3tFPbttk+u2EzOYcrDpqJTQpyTZjo4D4uObj+TUymajD/cJmTe6sCXDvnVuXainEE2bFVubUi3Mpgawe1MtDKICsC6YPCWRJXpDx/CPLY3Y54XyooliFYBGA7+JXB1w56NyeOszi+FHOwc3vleIMcbXACXtnlpasvBvDSpkLR4X1ccngVtWTU0KAaWLNUAgYYVhP/tkt7lSZgblduZCDYdVM/RrArObsUYxDbGFQ9u6KzqxpQE9cFL202FQ82mYYHGk3HvNgSZ7fI7+zm1dRhV9XEQM6u3MTQ2NuHQZflWgy6rAoTgW4Tb3/l1jMxruC02pec3IWNdciluIJqra9YISZmcpVO7l0NdSd3fpSpI/faKuHFkV4YHerDLP244guhojqstC5uQMdH9ULoEnBNEQWxRcEmgys6uEYh/V0NjWowGixzglsaKBObEnZ3748P0rMszq3KtVXFEGSopdwqXcqXgfZxBcjKECvDK0HoosYlZ2Hj6abzQCPrWVDKo7ot+f7ExyJDsgzEIgyLIEwQLAIwfd/o+yjDrxx3sHN73+qcY3J6P0jPMkHvvr69jEG2QC4vbSs01nL7u66VDq8qw0vDpFKkISjgVXTvluUVmyv/XKusIJPfyIp9u45DavTGld60rlJ07d4XbawMlp1duY1BXCqhWhe8zA+7CxtPN5xdp1XBcoxB3p7WxNufQZflWgy6rAoTgW4Lz0BLV24P7xT0EZxceSFEkR9yZwtbz5b4u3JXCE7uxjZ5xlpfuULMLpNrcnLJDfI7uaZtZ6pmBbv6MBFypUubpc3xuYoqyC6u5PbQCyA5PqZaIrrESYNmqkUPqxQZXMnBpYgCAa5RDebv6LRzbwlwaahMjCaonFsaIqNIgujayo6t7NYGAlsV1MpAq4JYEUjnN5xhOfNiy/ao7sMOimUIFgFYBb+BwFd0fWXHV874kttrF28Qow3U1SsCr53LS40NRkWZfxGFKdKgcnippUG1eIL+xqX87qW9XYwrNsYbWvmqjYvV3df7N0/PH8pokgC7yvoxeiMrNjIIW9RMzu78KEdnV8zsytVjLyaNwcY2eYazu8Lv7C4RtqfNbqDDblFd9UKJrPDp6ONfKCF37LbwDGTQZbkWgy6rwkSge7tniKkrl7aeiXGF3EgdcidEWVf7LmysQ+4yP+Su8TtLmxLHG07u6ynDLcsgbNsV7mqoO0B+J/fKH71qJ/ev9UqmtUWnR1rna1zSLOeogq2LK8YU/DVE8rCKK8ClIbNgHVx/+Tx1ctJSBxosk6MJVAVGNWBity1Vf73a0ercyq6tKoZATqQMtUslqJUdWhFmZYi1A9ffCWduTLHp/DbAubeB8wn07+X7Ex+LHRjLMCxDsOgAi/C7VAG/ouMrxh1Ubi/FHMjppYE2EXrpb5cy9bSaW4ZeWj9MNWW0iMLo5A3G4aWhtSCA11RHRtld+Q2ug7tbLlEGxZCaydkV21PErl3B2aWVwbRFTeXsim0M4lKJ11OGG87upsTxeKZ1AdbcPgEr/M7ukjj970peFTwhSofd3EjrQgmCXaodu90zhEGX5VoMuqwKE4FugmeYafisj7QQwq5GTFzt+0jTaVjRYjJWtZqIZ1oX4LmEPGxpNwavdMjF6ynDTWt9CXLdOLlX/ujF1eWhaidXXAShqA8znFxhSMVuCUS5RRUEV0ccUDHVD4nDZmJdmNykoBo0ozoiBwdXjCgQ4FI1mOzeqgBX7LaVownk3FLWNpBrK8OtCLaiU+sGbGWgtQNZFajODnB+U9/5BPr3geBYBcEy/LoBX9H5FV1fgl7Z7ZXzvZTtFZ1eMdogdvaqgFd2ecWKMvrbliMNtg6v3MMrxxkopiQtnJCH1cTNaqYqMpewW1p313a5hFA/ZoHdfV3ViyUkZ/fq8lAddl06u/sze5jWBb+eMhyvdMjFlnZj8FxCHp5pXYBVfmf3kab2q4LF2jFxoQTVjtFwWoJnGIMuy7UYdFkVJgLdtp4RJsjNVGw9ExdCzLZZ7bvav9rXbhkEuUC01vfYyGTHTK7JyaXLmf7uTVNHrtisYDd0VgZOTmm6NeWYAr3AiVPYhovrAnDpUqZdRMHOwaV4glwLZpe9Fd1bVSxB5dzKYKtybWXHlqBWjB24gVkVxDqB6qxo9bkremaZHrv7cQJlFQy7gWA5/vAHG8fXCXzFmIPo9KriDbLLq8ryyjVlFGuwc3jtIg3G0Kkb4JXqyGi7mrxsIphmhjJ7TnBqZFAMqRnPA9SJLW5Rk51dRWaXNqh9MTjNuDpjt1Ti6fhCrLZZFTy7gXWhhLg9LVOC3baeEQy6LNdi0GVVmAh023tGId07GT28U5RduXKNGC2EWNRYvdp3SzvdFXqt0wjsSB2KXekD8VGPTHzSr6dpra+lJzcYJ9ehI/eGgFyxUUFa/GCavhYvW8rDZs96zE0KYkxB7MEVWhTsHFxxwGx/Zg9jW1kwgGsXTRBjCYFcWxluRbfWDmydoNYJZlUgOrNecKdYOsH+ezcwrAJgO/hVga/K9bWDXrHdgaDXCXhpkNQt8NIWNgJeOdIgO7xiS4Olh1eOM6wNKVkKI9YJyssmhOcEedGEMsrwa8Gu7OzKXbtunV3FBjWKMXzSryc+6pGJXekDsSN1KF7rNAIvt78DW9qNUa4KXtS4ZKGEXDum6tjt4Z2CdO9ktPeMYtBluRaDLqvCRKCb4hlj1IjZdeVOr1uy2ndBI/3F9JGmelfuKv8l0Y1t8vBC27F4pUMuXus0wlQh9km/nkaFGA2tOPbkBuvkii9m4sYkaegs2Dyu65Wg8nYzf6OCHFMwZXGdAJc6NUXA9W8yOz+3jgG4qoiCysEV87di761T9pYaEwhuxaaENbdPsDi3bsFWdmydnFoZaO1ANhCgimd63Yo5To/BCYhVECwDsMr5tXN8A7m9Yq53lZDpFeMN5PLSm1i7LK/cy0s5XqXDq4g0EPDSim9jEFUEXnELog3witldU5yBmhlstqpdb5RB9TxhaWQQnyMEZ5eu8rhxdh17dv1DplQ99km/nqbqsdc6jcArHXLxQtux2NgmD+v8f8vLm0/BI0112F3QaLqxKpgWSqg6dql2LMUzhkGX5VoMuqwKE4FuqmcM+vpzuWJXrrj17K5o9fCZWCNGq31f7TgSb3XOwc5ug7C7e3/s69sLnw3IwJdDUvW4gv8SprzxLGC7gpOT6yKuUNr6MKcXL2V/pjBwZrv4gfJ48tIHaSXolaUeU0xBHDT7pTjOWPQgtiioHFxV/pamsmlYRc7elhZw7eBWdG1luA0EtsFArRN8FlXwCQaE3cCvE/iqoFfM+crQez3AK2d5qbGBennlHK/K4ZVbGk5OaVGyaY0G1sSGBsrv0rAavQkWl02INYOKRROWQTWbFcJl8abYUj8WwNm13aIWqI1B2qBGkaVjI5Px5ZBUfDYgA/v69sLu7v2xs9sgvNU5x1go8ULbsZbaMXk4jWrHaHua2LE7wFeEvmHTkMqgywpCDLqsChOBbjfPOGSFT0e2H3JVXbnyQohlzabiyZaTjNW+mxPH4eX2d+DVjiOxI3UodnYbhI96ZCorxCij5+jkUruC5OTabjujgZOfZijrw8r1cqSiM9OxUUHM4oqAu9Yd4J4qamoCXFVEQXZwP0jPMjm4VAtGyxzEwTIxmrBOyN1SBRjFEmTnlgalnFxb0bENBLV2MFsagJ1a59c9pQFiOwh2A79y3EEFvvTzkp1eyvRSdZk4yCZGG+QBNlpB/HrKcJPDS0OoosOrijSIwEuZ/YDAu1YCXpvsrrKZwa5bu5xiTpaIk+zs2m1Rk51dVc+u6Oz6M/qq6rGPemRiZ7dB2JE6FK92HImX29+BzYnjjFXBT7acZHTsigslVB27I27T87pZ4dPRzTOOQZflWgy6rAoTgW5373hkR8wwIgtiwwJ15aqGz1Q1YrQQ4sOMAfi4T2982r87DmV3wdHhnfDtmHb4vqA1Tk1tblympIqhUjm5clzBYRFEaZ2ZgHlcerFSTFSbBs7ERgVx9ae41WxFyfrPy4sjSurCFDEF2mRGMQVVi4KYwRUdXDF/S9VgYt9taQBXjiXYubZu4dYJbG9UmC1rCHYDvm6h187tFZ3e0gAv9fNSRZmc4xUdXjHDK7c0iHEG2rQmxxmM5wr/sJrRziBvV5OjDIK7axlUE2FX8Sb5emBXvhJku1hCsTI4WGeXniuM54mpzfF9QWt8O6Ydjg7vhEPZXfBp/+74uE9vfJgxwLJQQqwdsxtOuyva2sSQU30GsiNmoLt3PIMuy7UYdFkVJgLd3mF5Ro0YdeUWSV25C/wLIahGTFwIQat9qYKIXtA+G5CBQ9ldrINn/gqx83PrGHEFw6FR9eQqMrlKR+Y6nVynPK5dZZDdXntTRya5MnIWV1zb6x8yubwkXH/R8k9VKwFXWPRAgKuKKDg5uNR7K8ItDZaJ0QQV3MqxBHJu5QEyO7B1C7W3EsyWJQQHA79O4Es/L/r5yfEGO+gVow3iABvVlFGO187hVUUaROClSIMt8M6P0oF3SbgxtGpaJ6zK7tIbZXmrmjyo5rKKMNjnE0dnV7VFzSmzK/Ts0nMHxRiogeX0XQ0tA2r0PEFvgKk6kFYFywslHmmqv5Gl2jHq2C2qa+7YHVa9GL3D8hh0Wa7FoMuqMBHo9vPlY9Rt5uEzVcOCOHz2dHyhMXy2rcMovNZpBN5JyzYthPhicBqODEvB8dFJ+C4vASentMDPM5oYkHtxQU39xWqZp+SFyq2TKw6VlAHkii6MasuZq3328tYjeeDMJotLW81o6QMNm1EOly5FqmIKVBVGMQU7B3dbh1GGgyvnb1WAK2ZvnQDXKZZQFnD7a4PmjXbKCnqd4g12wOuU5aVlFHKO95UOucbzg53D+0m/nkYlmV2cga4CUQXh+bl1jGUTxnY1h+yualDN2J5ol/F3GFITn1euO8Ygxp+EIVZXzu7akueQy0vCjWHVs7Pr4+cZTXBySgt8l5eA46OTcGRYCr4YnGZaKPFOWrbx/EDDaU/HF1qG0+yaGMbU0JsY+vnyGXRZrsWgy6owEegOjCiwDJ/JDQtyjZhqIQQ5NTRlTQMn5MxYBs+WhJe4MdSTqdp45pTJldyX0lxqvJ6ogmX5w+7kEgeGtpspKsOMqiAxi+vfamYsfBAA98TYRANwxS7cQBEFJwd3nVALJnbeinArRhNUsQSVcyvGEWSwvdmg9mZ8jCr4FcFXjDnYOb1ivEEVbVjazLqJTRVrkB3eQJEGsYOXgFccWCPgPTMr1tiuJmd3r62yqSITt6rRJkVVK0MZRxmcnl9snV1FZvfKrrbWDWr+nm3D2aUFMsKAGl0JokFVamGhKz+qhRKq2jFVEwMNpw2MKGDQZbkWgy6rwkSgO7h6gWm9rzh8tqix/uK21N+w4DR8tqdnP+zr28tSI0aXH2mwhHJ2V5YKTi6t+qQXJHJf7NoVFE5uuUBugKEzo1VBFVUINHD2R6+exfV34spLH34ojDfcGFrxKcYUaK/9hxkDjB7ctzrnmFoUAjm4KxXNCcECrp1zq3Jtfy1wrOi2hRvl63QCXien1w3wyo0NlOMN5PBSSwNFnXZ2G2S8SRY7eCnOQCuFv8tLMDYoissmqHv38uIIa5Qh0KCasDbcaGUohyG1oGHXbqkEbVCj5xZaDU7Orv+N88UHahgDrBR7kmvH6PnDaThtZYvJWOofTlvUuMgynEYRhsHVGXRZ7sWgy6owEegOva0QE/yRBXm97xJp85nT8BkNmYg1YqauXP/0tPGC9Liw0/4v1fXLjH7XxbjEKK31NS4vSoNnZfXioxwaUeToAjq5Yh6XBs4cogqUqzMtffBvNaOVvXJMgdoU6IXqzZRhRg5XXPJA2TsaNlltM2BmN1zmFnDdure/JtBWVIfujdAG4QS8Kpc3EPDaDa+pBtdoCQVVk5G7S8snKL9LHby0dEJsZyB3l1YK03Y107IJIe9vG2V4OtQMu9vqB+fs2iyXoOeL64VdxwE1u3XBdLXopSj9uZOeX/zb0y4vjjDaWuSOXaodo6FVp+E0cXOamNelNcGTa+uwO/S2QgZdlmsx6LIqTAS6IyILMbWO/XrfFX6n5hmH4bOP+/S2DJ8ZNWL+XB1tPLqyVFjtSZcXRSf33XjjxefXcHKNPK7d6k5FDZDRjbs9puSyorzdTBVVELK4VBkmtylQH66cw7UDXLFFIZCDK/beys0JdnDrJppQnkBX2oqu691yVtptaqWtRvu1nF452iBDr9zYIPbyBnJ4xZYGJ+CV87vi2nBqZ5C7d42qQqcaMloh/Nd65ucbu9pCm27u8nreceXs7k42P99srVPyXEOrwpd6jA2KxqpgoXZMHE77uE9v2+G0Z1oXYJV/OM1pTfCISAZdlnsx6LIqTAS6o2sWGpGF38aURBbEXO662yfguQTz5jOaopaHz2iIxKgR819eVHbl0guPf2CEXnTocqLjWt+KiCuoIFceOns3XndYaFBEAbnk4oq1YWJUwSh6H9/GaFSQO3H39OxnlL7LbQq0qpdiCnY5XDmDSwNmqmowt4Bb3s5tsNVbTiCrWsnrtJ430Al0e25B2A38lqfTS99DN8CrqihTDa4td8jvUpyBVgvL7Qy0bIa2Kordu0Yzg7+KjIZcTVEGikeJ7q4Kdv/WUL+CJD7v0JBaANgt1xiD07pg8XmHBl3pOcemY/fs7PpG7p+GWuXhNGppETenPZeQh3X+fl0xrzvP//xAEYbRNRl0We7FoMuqMBHojo8qxKxo/YVsfkN989nDTcwNCxsS8o2hEho++yA9yzJ8dnx0knnr2ez6Rtm7Ka5ALzg0FU0vNkJmzuLklsEyCFdOrlAfdvZEvvoSohhVUHXjrit5wbEsfxBrw6QsrujiyoBLL0SUw3UCXDmi4OTgBsrfunVvy9N5DLREwWmNrnhZXjyzG5TPUd2XEyA7gXAgAC7L73kglzdQjtfJ4VVFGpyAl64W7UofqARe0d0Vs7tyDZnJ3aU32OtsOndtogz0RvvsiXxl/VhZwm7ApRIi7JKzS1Gpl6LMzq4/xkDPO2dn1zdtT6NYlDic9kF6ljGcRkOsGxLyTU0MDzeZhoWN9eeNexvov8/joxh0We7FoMuqMBHoFtQuNEUWaL3vCmG976bE8diaNBrbk62bz0zDZ+PbGPm5s/fElHTlig0LYmaO1nb6X2TIUQnk5JYl5Nrlcc98P1G56Uys+zGGzqg6zD8FbUCu2I0rtSrIUQUxi0v5ObET9+0uQ/BW5xxlm4I8aPZky0lYqcjgyg7ujQC4pQFbO6h1Atl7FYcqtsrqqO7DCYTdwK9b8L0RgFfl8IoZ3pV+h1ceWFO1M7zVOQdvdxli6t6lOQBLdleKMoitDKbOXRF2N4SVVJDJQ2ryEKx/SO3M9xPLpbfbMbOrcnb9V5TozbaxTlyYCZCbGM7PrYOz98QYcwB09UgcThM3p21P1tcEb0ocb6wJpjfNS6QIQ0FtBl2WezHosipMBLqT6xZYhs/IfSHX5cWkMXi140i81TnHuKxI+TmajKYXG7qMSAMilq1nwqVDy2pfafq5LCE3qE1FwtCZsh/XLqogDJxRifvFBTVLVvj6V3T+NKmlcQnx2Mhk4zKiWBmmAlx68XELuKqIQqB4gqo5oSzhNlAVltPmL9USBBlixX5Y8dCCBIIy1aHlCW6P3e2I9yU/DhUUq0BYBcHB9BCXF/TKjQ12sQZVpMEt8NKbahXwilVkFJeiuYDv8hL0lhf/inGj6WVBTWM5jaVzVxVlUPXtikNqioHY0mxiDBZ25bYX5apgej5SbE87P7eOEZeiN9nU6EJzABSPeqtzDl7tWDKctiEh37hKJA+nTa7LrQss92LQZVWYCHSn1SswIgvyUggaHHmlQ67Rf0kvNvRCI24+k4fPLi+O0F9YVli7cq9tj7E6KPILik0urjydXCptV9aH0RCIDLnCGl8qb7+0qLox+Wx04xY1NbpxnaIKVBkmduLKMYXnEvIsOVzqwqVNZksCOLgEV3L+tqwB1+0wlNu1tnZQq4JZGU4X+L8XdB4ooyPfrh0UqyDYCX4DrUsuz2HAQMBLj4keq5PDS3EGeo6h/L+Y3xXryCjOIHbvilVkTlGGHye2MjaqGe7u/Ch9ToCW1Ijrg2XYFYdiVfVjZbisRvX8ZDcvIL8BtyyUEIdhqWOXnpP8VYbicJq4OY3eaNObbHruoX7dTYnjLcskKMIwrR6DLsu9GHRZFSYC3Tuj842+XHrxoRedF5PG2G4+o1L3b8e0w/cFrdU1Yksdtp4pFkJUqJMbxNDZlV1tS/JwclThaSmqIHXjnr6roWmF77dj2uGb3PY4MizF1ItLjQpiFleMKTgNmrkFXDfxhPKAWzd9rk5Qq4JZGWRlcF3YuOQsalxknD/Emc+SAOdBYXmG05FvV7xP8bHIYGwHwiIEBwu/TuBbltAbKNZQWuAV87tynEHM7tJzETW+HBmWgm9y2xvPSdThTTVkls5dcTBWjjL45wbESFUwQ2oV4uwqFkrYbk/zzwrItWP0nETLaOw2p72YNMZ4c03POdSve2c0b0ZjuReDLqvCRKA7q0GeKbIgLoWgAZG3OudgV/pAfNQjE5/064kDWenGiwpdLjQ2n9kNn1FXruyYiFk4ub+yIpxcxcCHsj5M3nRGQ2erzUNnpm5c/4vJjxNb6a0K/g1nYlSBasPkqIJYGUbrOWkwRFUXJuZw5UEzOYPr5OBeDxQFiiW4WVigWk9rB7Yy1MowqwLWh6XzSNOyOfLtqgBZhmAV/DqBr+z8ul21XFbxBvnn6+Twim9QVANrYn5XVUdG29XI3aUqMlWUQawhOzIsxdio9n1Ba8PdpeFYI1IlDqmtFobUpE1qyvqxChqUtbwpl/u87WrH/tawpGPXbjhN2Jz2XV6C8eb7QFY6PunXEx/1yMSu9IHGc9ErHXKVyySWxBVhVoM8Bl2WazHosipMBLr3xY43+nLX+IfPNieOw9ak0Xit0wjsSB2K97oONg2fHc7pbAyfUb0PvYiYasREyJW3nomQK6/2FXbNV5iTKzcrkEsiNiuILx7i6k2q8pGiCientDCK2qk2jFb47s/sYXRYknuyI3WoJYsrxxRKA7hiRKGsHdxgnVs7sJWh1g5oRZhVQSyB51J/08Qy4Sz3O9/kJIpnhb+hItgj3454H+J90+MRwViGYRmC7QBYht/Sgm9ZQK+TwytHGoIBXjnOIGd3qYqMenc/7tMb+zN7GCuEjRoy/5IJy6AaRRke8plXkYtvyuVGBn/EKmD1YXk4u9QI8/M9ylXBBuyqtqcJsEvPVfRmnOoNaTiNBmJpOO29roON56WtSaOxOXEc1vubXahf977Y8Qy6LNdi0GVVmAh05zYcZxtZoEuFH6Rn4eM+vY3NZ0eHdzJeQGhD0fm5dfTLgv4MnGX4zKkrV7EQQn6xuHh1RblcBrRbt2kMeYj1PfLKTdpyRkNn/uowWuMrduMeHd4JXw5JxYGsdOPyILkmclTBrjKMytvlYTN5XS9BkF1MoSwc3ECAq4oliJEEOY6gglsnsBUdWRFqZZAlIF0pnCdbTjLOqlYTlWe1zbH7fPE2xfuSgViEYBF+RSfYCXxV0CvHHGZLP/dgFnyUtcMrvqmRl07Qz1ceVlshuLuqKjJVlIG2qu3P7IEDWenG85TYuUvrg6mCjIbULH27tJJcqD8Uh2aVy2zKIW5l2dYo1h/a1Y7ZdeyKw2lLwnFxQU2cn1vH2MhIb8jpeerT/t3xcZ/exptwWiahijDMbTiOQZflWgy6rAoTge6CxmONpRB0qXBbh1F4PWW4sd6X+nJVw2dnZsXqLxp0OZBeMKhGLFBXrrzaV9FRWR6DHQHXbIq1PfLQ2ePC0Jm/uufcfdE4fWcjY6JZHDijCh9qVaDOSqryeT1lOLYnjzRVhqkAl9ZxXg/gXo+DGwzc2q2UlcHWCWpVLq0MsyLIiuBKYLrm9glYc/sErPOfp+MLjfOMfzWyeNa7PKp/K9423R/dvwzKBMQiCMtfYXZxAAAgAElEQVQQLLu/geDXCXztnN6yhl7Z4S0N8NLacRXwilVk25NLFk3QVjWqIaMVwrRkQhxU+3lGE32e4L5oUwXilWX+KIM8pCbWIAZaT14OA7S2Xd92CyVUHbtC7ZgxnPZADZy7LxpnZsUqh9OoX5fWBL+eMhzbOowyolS0TGJB47EMuizXYtBlVZgIdBfFjbGNLND+eTGyQC8YdCnQWL3p3zNvrPclV4SGz6Su3GBqxCrMyaVLf2Jdj1zE7l+xSZU9qqEzsTpM7sb9qEem8cLhFFVQVYaJSx+chs0IasqyRaE0lVN2ywVoEEvM1qrg1g5sRVd2lQPQyvC6ISHfOM8l5BlnYxvr2ZQ4XnlUnyvelngfMhTbAbDoCK8MAL4q6KXv4wIb6LVzesu6Si7Q7wj9XroZVqPtanIVmVOUgd6Y03OW2LlrqSCTh9SoClG1ovylKFMdoiV6VQHOruvaMVXH7l/rlVyNouewP3qNzWnn7os2olb0Bl2OMHyQnmUbYVgUN4ZBl+VaDLqsChOB7pKmd9guhaAanwNZ6UZfLr1Q0BYiy/AZrdqkoQ65YcFf1XP+y+ygV/tWiJMrduS+EFni5CqGzqgfV9xyJkYVDmV3MYY7qFWBVvi+mTLMGPJ4MUl3cWm/vJjFFWMKSwSwCRZwKwpuaWBKztvKzu0fhGwtOZeUZ6XL/HT5X3Rp10jO7DMCxIrgSmC6OXEcNieOwwttx+KFtmOxpd0YbGk35v+x96bRVlVn1jDUZ+ghSIQCikZEkNBcuXSXRi59e6UREBBQGkGQQKQoiSUxRopgGykMAw1BeS1j2Q8MKAMjQUujQV9kKEZEeoJIsKcRAa1yfT/OnuvM9ey1dnPOube+4beeMdaPwDnnEu8+e88112zUs8XZtb54Ul6LPwufj5+Hn89AmUHx7wUbvFYAYFwH95P8Af+d8N8N/x0Z+LqY3n+1ML3lDXrTAF5cHwC8nL3L2t3HO2Ryd58tnqxNs1tKxhoVwjCq7Sor1SkxkDKE2tRubmg3qYHZ5cQYztotZ2Y3TVWwTosJMnaNJAaYaFFNbjGnfTm/hd6oI18X96/t/Yc4yyTubHmVB7p+Eo8Hun4qbAB07714olOyAFaEJQtwMcPUgeYho/mM631lwgJH9EjzWQ7sR6p0hTgmV2bkPlYzzOSSvo1LID6Z2UYdnVKkjkwqNqLDZI0v8ikBcmX5g9Ti2lhcm9mskDIFl0QhDuBGMbdRrC2YSylBsAHb3wtgC1DLgJbBLMDohk5XqQ2drlLPd56onu88UW3sPMFYm7qMt64XumaW6+/l5+Dz8fMYDDMIZgAM8MsssAv4MuuL/25xbO9txPwnacOLuoZyuY7i5Aw2s5qN3WUpgyyZYLCLVAauD+YIsiOTitXRKUWZexmVSxg+A8nsPlYznLWbhNnNI40h9t7mMqchY5eTGLgmWDSnYdN+YmFTnRIjJQw7Bg9wShjuvXiiB7p+Eo8Hun4qbAB0f3PJlTqvcnPJuFAphDUvd0Ez3TjkNJ8hnseWsMCFECJGLF8mN3GNpo3JtcWHrc48EHDUJ01n6I4/OqUoJFV4Z9BAbThjqYItNgy5uPeTFvfellnQwjIFW1xYIQFumqzUOM3t7SmA7YNCduACtACzEsgCwDJIfbHblerFbleqzSXj1OaScWpLyVi1pWSseqn7GL1e7nFFaL3Sc7R12V7Ln4XPx8/Dz2ewDEBsA8IAwTYAzPIHbIiSAN+kTG95ZSzHAV5bHBmuI2yOcO2A6Ufuri2GjKUMMKrBTMtSBkSQ6eQYNqlBinVf1ey9zRY/lobZzVPGYE1iQOyYLJSQm3jc3yLMaadubqglWDJfV5ZJbC4Zp/O9f3PJlR7o+kk8Huj6qbAB0F3VZpxTsoCHAksWjLzcZXWyx3xwKwdHfFzva01YKJD5LPJoLyIn1xrHw0HrjiII1GhyfNhHkzvqoz5mQKBtg2sZTAiDXLB3XP4gpQquTFwXi5svg+tyz+O4mQ1FEuDamFvW2q4k3SVYWxe4dQHbKFArwawErq/2GqVe7TVKvXbZSL1e7z1Cr62llyda/B7+LHy+BMYSBMeBXxvwdYFeyfauFNpeG9PrArz4/UrzWiHSOuQ1Jq8vV/aulDJwyQRYfgl2N5eMM1JjWLeLNrXDEzprYy3Hj2lm11YswcU3rrjEmJzdfKVZseY0SxKD4TtA2c1DWTkW4hFlvi7ua7tH9HZKGFa1GeeBrp/E44GunwobAN01bTM3rC0lY7W2TZZCHJ1SpD6ddYk9LzeJ+YyZDsgVgpt/Lvo1F5Mb0q+5nMk2JpfbziSTG+jYtENZmM5s0WHQ44L92NTFlCq4YsNkLq5kcZPIFCqCwZXsLYNbaSRbRVpbyBEY2ErGVoJaBrQMZhnIMoBlwPpGaZl6s89w9Waf4Wpb32FqW99h6q1+Q9Vb/Yaq7f2H6PX2wME5Lf4MfC5+Dn7uG6VlBkBmQCyBMEAwA2AJfiXjy8CXZQ7M9LKhjUGvZHkriuFNI2e4rXk4d9cVQ8ZSBqQyoD6Y29Q4gkya1JAkY/gPmNm1tajFMbufL0jkQ0hzzwvFjmFTf3RaKIkhzpxmy9f9dNYlOgOcyyRwb9tSMlZt6jJerWl7hQe6fhKPB7p+KmwAdP9P+1GGZMEWJRYrWWBdrpAsJKn3zYXhsIHcuKzJREzu2jCTK4sgUOcr48NQAsEtZ3gYbOh0lXq22J6qsKr1ddpcFCVVKBTITZt/mgTgyqSElRaAC+YWrK0L3DJb+0LX8QZLC3ZWgto3Sss0qAWYZRD7zqCB6p1BA9WOwQPUjsED1LtD+uv13tB+xto5rG/kkq/nz8Ln4+cxGAYIBvgFAGbwCxaY2V8wv2B9XaAXbK9kejnJQSY45AN482F4cwG7UsqwIii6saUyPFucjSBj3e6bfYYb5RIcP4baYFksEWJ21+bI7EZkhOdz30tUEywlDKTXTSJhsEWOYRP/f9qP8kDXT+LxQNdPhQ2A7qOXXq4fAmA7UKUJkPvZ7NYZkBvo1xLn5bL5jHW5ecaIuTS5scd4tnQFaHIDJvebVcFN/+6aWUeyiA87ek0HdWRSsaFfw7GejA5DyLqUKnCqwvKL52iWDYDDlqiQrxY3F4OZlCewK/4uobtlWQIbySRzCzmCBLaQHzBb+0rP0SFAK8EsgCwALAPW94f3Ue8P76N2lZWq3SN6q90jeqs9I3upPSN7qb2jeuq1b3SPnBZ/Bj4XP2dXWan++QyQAYgZCEsQzAAY4BesL2QPEvhC5iCZXpumd6XQ895lSfVgWUMuxrVCmNXkdYgNFq6/5SKVQUoZUH4jI8ikSe3guG4Zk9o1HcLxYwGze/bumpn73irB7CJdxsXsJpBrpQW7cbFjhl5XmtPi8nUDH8LxBc20B+GjyR11dTlOrbCZf/TSyz3Q9ZN4PND1U2EDoPt4cZmRsvD+8D4hXW4aycK5P7cNSxYi6n1tkoWctWq2Png2ZmwvMcsgLEyuBrlU6Yv2IMgVwOTK+LA3+wxXr/ceEdLjAny4TGf3CKnCrc2SsbhpGbSkgf42BjctwIU0gZlbaG2lJAFyBIBbydZGAVsJagFoGczuG91D7R/TXe0f010dGFuiDowtUQfHddPr0Pguxjo8oXPkkq/nz8Ln4+cBDDMIBgBm8BsFfCXrC9DLMgeWOEDby0yvlDakBbxJGd5c5Axx2l1md/l6vJ1SGVwmNWSDs2739d4jtOGW48e4WAL3PZxicWWwYb5lZpdLJbhBjTf6YHZF7Fg+3oTQaZZMYhAShnN/bptawsB6XRTfYFP/eHGZB7p+Eo8Hun4qbAB0n+o0VDcKuaLEjt/Q3C1ZQFUmJAtbL81KFmylEAU0n0Vl5coQdaPWF6YMRIiR8Qw3ehzhcbqCLIKQmlywb1wCkYbJdWXjLmw0P6SNzBdIxLVWsRnIJlFYQeBCAlypu5XsrZQkSOaWWVsXsJWg1gZoGcQentBZfTixk/pwYid1ZFKxOjKpWH00uaOxjk4pSrXk+/G5+DkMigGCbQCYwa8L+DLbK5leKXGQLK9N2mADvCsiJA0201qcfrcQ16iL2b0tJbPL5RK41qRmVxZLGGkMwf1Pb/SlQS2IHmMT7tntJYnLcQq64ac4xdB9cFuXjF6XJQxP1XFLGG5o7owcQ8PjU52GeqDrJ/F4oOunwgZA9w/dBupjPClZAMg9uahxvGQBeblgMmQpRGDGsB3ZxUkWImPEmMWwHNkB5IbMGK4IMRjPiMlFpa8sguA639cuG6le6j5GvdjtSl0CIfW4MJ2tIPZMpioUMlEhDuDmyuCuEpFgUnfLmlvJ3EYBWzC2DGrB1NoALYNZAFkA2KNTitTRazqoo9d0UH+f2l4dm95OHZveTn08o636eEZb9cnMNuqTmW3Up7MuMdZns1snWvJ9+Dx8Pn7e36e21/8OgGOAYQBhBsESADPzC/ALxjcK+EqmV0obJOiFrIHzm9MyvOUFeG1SBpnKcBdtwNikJnW7z3eeqF7sdqV6qfsY9dplI43aYFksYVQGM7NrM6jZmF2U5ARg1ynhiohWjLonSgmDAXaFGdeQMGwvCefrOiQMJxc11mBXShgg1/pDt4Ee6PpJPB7o+qmwAdDdUDJAZ0zCmHH0mg7qk5ltdGuQ7oMHk5FEsmArhYjJkixUQ5BmMGS8DmvTUOvrMJ7ZmFxOV4jT5KIEAskKNtMZg1zJlBUC5CaVKcQxuFKiwJm3LoDLhjJmbtFcxZIEsLbQ2EpwawO2NlArAS0D2c9mt1afz2mVWXNbqs/ntlRfzLtIry/ntwit4zc0N5btNfwZ+Fz8HAbEAMEhACzArw34StALja9keyFxgLwBTK8EvDCxMeBlHa+UNMQxvGnkDPmCXXnyICPIbCa1/6ByiTjNri2NQTK7VoMa1wUHXgUZrwhm11UoUQhTbkivK8okEkkYcLK1tK4uxvlyfotMKc41HbQBF1nhG0oGeKDrJ/F4oOunwgZAd1OvPk7Jgm4LCnrgv7mvarYW86k6RsWvPqqTBgyLJq08zBehGDHqfD/357YZucLGxtnAdNT6CiYXxjMbk7tnZC+tT9vef4jaWnq5Uee7odNVal3HDJNr0+NyPq5NqrBISBUKDRJcAJczcCWDu5IYXOgf/4OybmEsY90tZAmsuQVz6wK2u8pKNWMLUGtlagnQMpjVQDYAsBqoLmimji9opk4sbKpOLGyqTt7YJLMWNVYnFzVWp25qlF03N0y36L34PHw+fh5+PoCyBsQEhBkEAwDbmF+AXzC+u8pKncAXTC9retnEBj0vWF5k9MK8toYY3pUOhpeTQZIC3nw3a1K3a5MycN6u1O0+WXSNWtcxc9LAtcFbSy/XzO77w/uoPSN7OZldNqhpZpfrgtfVy4DdzS1MAuCvfWJjxwpmzpWeBWHM1VIurgiGhCG4L569u6b6esn5Guy6JAybevXxQNdP4vFA10+FDYDui6W9dDEEjBioxWQThuE2TpCyECVZyDU7MmlQ+uldgzJMrs1lDCYXtb6CyQXItTG5Ml0BRRCyzvfR9tOMEoj7hOls2YVznaazQksVXIH8UqbgYnBtEgUcBUN7awO4UpoAgPvOoIE6GQGsLeQIYGwBbsHW2oCtC9QagJaB7M0N1VeLG6ivFjdQp2+pn1m3XqDX17fVC68l55vL8hr+DHwufg6DYYBgAwBbwK8V+AasL0AvGF/IHMD2ItEB8gYGvDh1gImNAS9reZHWICUNUQyvS85QXvKbBY1+6jSpobCEr2Mul5BZuy90Ha+LJWQag4vZZRmDZna5Llgwu/r++HbP2NixtN4FV75uIgmDK4WB0mcMU25Qdw5DLookXizt5YGun8Tjge73eNavX6+6deumatWqpRo2bKjGjx+vDhw4EHrdgw8+qFq1aqWqVq2qioqK1HPPPRd6zfHjx9WMGTPU+eefr2rVqqXGjh2rjh49murfA6D7cv/u9vYzsBaowlwVtJ9Bi0aMBeJ02GEsj+YKUQrhDEgHyMXRHGLEcBOXpos1ZiMQ4nRkGURaJpeTFVwlEGDBCilVSMri2o57uaJXanAlg8vyBLSTIRKMwS1kCdDc2phbJ7ANGFuAWsnUMqA1wGwAZAFgGaieWVpXnVlWJ2MkuqN2Zt1ZK7vurqnXuV9XT7T4PcZnBZ+Pn3dmaV0DKAMQMxBmEAwALJlfgF9mfG3A18b0QtOL2DLoeZnlRSublDXYGF4GvFwx7JLh5At400gZOG/XVi7BiQy5MLuyVELXBaMhco3DpEv3Sau0q8AFOrhXGg2RgTnNSKLBfRInXvAuPJQlAnRrWqDXlSkML/fv7oGun8Tjge73dF5++WX1D//wD2ratGlq8+bN6oknnlCtW7dWrVu3VmfOnNGve/zxx1XlypXVLbfcol566SU1e/Zsdd5556mtW7canzdkyBDVpEkT9eSTT6r169er9u3bq0svvVR9++23if9NALqvDuymMyQ/ntFWfT6nlQ5LP7O0rjtlIZAsaMMFNGgFlixY9We2CB1ptuBCCBzLofZyVQbkwl3Mtb62xrMkTO6TRddEJiuA/eIq30KwXmmD96WmEY51Puq1MbgsUUByApvLwN4C4LI0AQkJzNyyzhasrQS3mq2NArYS1DKgJRCrQeryapm1IrO+ua9qdq2skm7Re/F5+vMlIA5AMP59EvxGAV/N+tpA75QiQ9/LTC+SHCTgRQweWF42ryGxgSUNkuG9X5RPSDmDrKsuhHY3yWkFX+PcpOZKZICMIS2zy6USui74zloZsAtCAB6G9Q3MQglh1jVixxC9WCAfQ5SEAR4GbdSFhMGRwnBmaV1dmvP5nFbq4xltdZb4qwO7eaDrJ/F4oPs9ndmzZ6sWLVqo7777Tv/ZSy+9pCpVqqT+8pe/6D9r3bq1mjRpkvHeHj16qGHDhun//Ze//CUjOXjxRf1nH3zwgapcubJ68sknE/+bAHRfH9bJKlngKDFnykJw43Zqz4ihKPhNmxMWArlCqAEIN+5n6maOFKnbnYPRmclFGQTn5LqYXGSWIj5MJivcYwEAUo9bnixuUoDLDWZoL7MxuCxPkNpbZm9ZlrBnZC+tuQVzC/PYsentooFtAGoNppYALYNZDWIZvK7MbGq+WVUlcw2vDtaaYD1Ea23V3BZ/Bj43+DnfPEA/n4CxBsQAwgSC8f/PYH4D8BsFfI9Nb6fNbWB6oemFmY3TG5jlZS2vlDVIhheta9y4VgjAm+91L3W78nqHbpcTGRA/hmxnF7Mrc3a5VIKZ3bN31M4yuw8FMgZUBXOhBDVGhpIYyoMcsMm8yMtgEAOuFAYZOUYShteHdfJA10/i8UD3ezozZsxQRUVFxp9t3749AzRff10ppdT+/ftVpUqV1Pr1643X3XfffapKlSrq7NmzSimlfvGLX6h69eoZoFkppYqLi9XUqVMT/5sAdLeWdTRSFk4sbKpO31I/Y7Tg4zhLyoLtKM5V8ZvLMZw1YSEiI9La6U4xYvqmLUwWtlpf5OTmwuRGJSvY8nHLg92ymc1sOlw8+CFTkBpcyeBCooDkBGhvmb2F7nb/mO5amuBkbue21BpbG7gFWwv5gRPYrhSAlsEsQOnDwXqkWmY9WiO7HquZ2+LPwOfi5zAYJhCsAXAAfm3A15A93FbPDnoDje/nc1s6mV5IGxjwSpZ3W99hOrGBJQ2S4WUNL1cMSzmDrcY6SctfPqcYtmvflciQC7PLObuyLliadjU5EBE7Js1pNrmXLYYxV71uKGfcIfVypTCcW14tY9i9pb4+/UIKw9ayjh7o+kk8Huh+T+fVV19V5513nlq1apU6fvy42r9/vxoyZIjq0qWL+p//+R+llFIbN25UlSpVUnv37jXe++KLL6pKlSqpXbt2KaWUuvLKK1WvXr1CP2PSpEmqpKQk8b8JQHfb6HZ2yQJHiTlSFqztZxaQm6uxwpoNSQkLMivXWgiBal9mJpacb40Q41rfXJjcqGSFQpjO4kL1JYsr0xRcAFdKFMBw4cHPDC7rb9EstXNYX4O9dYFbmMigtYUcQQPbQIYQCWptgBZgFiCWgesTtTPrqToZwPFM3cx1gfWHC7JrfYN0i9/Ln4mf81Sd7M9nYAwwzCBYAOBI8Mtyh5saZWUO0PYGprYkoBda3rcHDtayBlzvzPAC8ILhZUlDFOCV6Qw2djeX3N2kJrWoRIZcmV1IvaylEkvON0/CUBXsKpQIJF+GgTe4hxbCnOaKYrS1pkWmMFDkmJQwbBvdzgNdP4nHA93v8WzYsEHVqlVLVapUSVWqVEkVFxerjz/+WP/9o48+qipVqqQ+/fRT433btm0zmN+BAweqsrKy0Of/5Cc/Ua1atXL+/BMnTqgjR47ohc/dPi7DrH05v4U6dVMjdfqW+tkjOHmjZhcxac3KS7IQMp85onJwk9amik1NomPEbqmvTt7YRB2/obn6bHZr9fGMtjoyByD3vaH9EjG5ay1FEHjAFzJZQT7Y58dIFbj0AWYzqcO1yRSQomBjcG0SBZjLQgCXTGVWgLuosamzZTkCwK2NrY0CtjZAK0Hscw0za2Pj7NrUxFx/bBa95Ov5s/D5EgzbAHAE8LWyvgC9JHNgfS8zvWkAL653m6RBMrxIaYiSM/CGD6UoUZs+sLvzywnsciKDzNpdTScZccwurnfIGD6a3FF9PKOt+mx264yB98Ym2dMwV+zYpiYhE68zkjGPqvQ0EoZQkQRSGCRREEi+Tt9SX526qZH6cn4L9dns1mr7uDYe6PpJPB7ofk/ntddeU3Xr1lULFy5UL730knr66adVUVGR6tq1q5YklDfQ/eUvf6lBNq93JmQAiFWyAJAbHL3ZUhZcFb8Fuzm7zGc2kCtjxGS1LwLQFzXOHPnOaaXbfqTx7O2Bg3XjmS1dIQ2TG5eskKvhLIkW9x6LGedBAXA5JiwK4EoGd++ontpYJtlbyBIQxwQtI2KZwNxagW0UqJWAFmAWIJbBawBMv9ncIrO2tMysl1tl1ittjHXuz21TLfl+/bn4OcHPNQAyA2IAYYBgBsBR4NcGfInphakNml4kONhALwxsiCmTDG8c4EXFNQAvG9Zc7K5Lu5uPUS0ukSEts8tpDGhQw/UvDWrHprdTn89plZExLGocLthZTWDXETsWOhkrsDnNmljD8i9bCgOkXwC7FgnDF/MuUu9MaOWBrp/E44Hu93Q6d+6srrzySuPPPvzwQ1W5cmX10EMPKaXKX7rgYnT/OiVj/mFDxTf3ZXbwRiYknMNJUhbK87iN6n11FiSMFDhys5jPOEbs+IJm6vM5rTIasylF6vCEzmrf6B5q94je+iG/re8w7UqP0uS6mNykyQppHuI2Flc+yFmLy6UPHJyPNjPocNloxikKUoNrY3ARCybZWzaVhQAuM7fLibWFHAHg1sbWuoAtg1oLmNUA9fX2mbX1Ur3OvlkcXtu62JfltfxZ+vMlGGYQzODXBXxtrC9AL2QOYHuXVzOZ3ijAK1hexJRFMbzQ8HJKAxvWoN/lljUuSllO3w+p3XXFkEl2N1ewKxMZophdl2YX34dtfYdpsLt7RG+1b3QPdXhCZ3V0SlGmZGdOK+NeasSOsTmNJGDntl4ayiC31gQX+p6aJIUBsYxB9vg3DwRFEmTkPb6gmfrrlBYe6PpJPB7ofk+nevXqatmyZaE/r1+/vlq8eLFSKmtG27Bhg/Ga3/zmN6pKlSrq3LlzSqmMGe1HP/pR6LM6deqUkxntvWlB049NssAtP0klCwVo94nKgAT7EEpY2NQkbKKQhRA3NdK97R/PaKuOTikyjGcsV3jtspGawUrL5P48AuQmZaryqUEFi7uStLgPUh4uG81QhyoBblIGF8kJWppA4FYbyiBLgOaWmFsrsJWMLYPagKk1AK0EsgxeAVC3l2Su3bd7ZtaOy/T6+q998lr8Wfh8/DwJkDUYZiAsATCYX4BfyfjagC8xvazp/XrJ+drIxskNAL06sSEhwysBL2qv2bCG/F1OIVkZwe4WKlOaTz5cYPfnOTC7OOHgumBs+mBQOzqlKON1mNsyk1xzUyN7oQSbejc1yVy7IonBZU7L9ZTM2iqZVsLwRG2rhOHkosbqvWnNPND1k3g80P2eTps2bdSYMWOMPzt06JCqXLmy+t3vfqf/rHXr1mrKlCnG63r16mWNF/vTn/6k/2z37t05x4u9P7NxNk6Ma34l+8Bu4YiUhXLRk0GyYKn3NRIW1tULJyzcUTtkPuMYMbBY7w3tp94ZNFBnjL7Sc7R+iMvGM1e6govJxQM7KUOVBOTGxSjdJ7S4/0FpCniA22QKMJqhwSyOwYVEAdpbg70N0hJCANfG3IK1ZTmCDdwGzKgV2DoArQalO/vrdXrXoOzaPTS/RZ/FP8MAwjYAbAO+YH5toJdlDixxkEyvBLxBesPpW+qbLG+w6YNOPYrhReMa5/Da5Aw49Xis/VRdNsFShrjYvUKBXXzfZCJDFLPLaQzcoIbNIH9H3hk0UL03tJ/+bnDsWMicdkftcBIDzGlbWjqTGLSEoRx8D5EpDPLeyqdkXA8cxI29P7OxB7p+Eo8Hut/TWbFihapUqZL66U9/qgsj2rdvrxo1aqS++OIL/brHHntMVa5cWd16663q5ZdfVnPmzFHnnXeekbWrVKYwomnTpuqpp55SGzZsUB06dMi5MOKDOf+YzYDkzNwnamfDzre0LFfJAoPcr87cG9vTrh3CMmEhYB046JwLIb6Yd5H6ZGYb3Xp2YGyJZq3eHjg4xOQ+33mierZ4smappPEsjsnNRXMoQa7NcMaxYa5g/N9eMkuzuAxwmcUFwOUkBTzAAXCTMLh4qGv2FkUjQVoCzGRac/twVZO5lcBWMLYsOdBMLQNaAWYZvH61tyyz9o3S69SBMdl1aHx4Hb4qetneQ5/JPws/n0GxDQRrAAzmlyQQIcZXAl9mesyhhSoAACAASURBVB8mTe+qrHQHJxsS9J68sUkihpclDQx4t5ZebgBesLsS8D7442vVby+Z5SxSkTFkNilDLsyu1LTHMbuyQe3JomvUs8UZGYNkdt8eOFifdhwYW6Lb0z6Z2Ub7HoxCCRTvyNMySmII6XUt5TscOXbm29XlK2HAadn6Btr3YJAIt9VTH8z5Rw90/SQeD3S/p/Pdd9+pBx54QBUVFamaNWuqhg0bqiuuuEJ98MEHodc++OCD6uKLL1ZVqlRRHTp0iKwArlu3rqpVq5YaM2aM+uijj1L9mwB0d8+rnzVOAIyImt9vXmljdrVzzW95sQ1pJAsAuY9UM81ny+ro4zWYz7j1bO+onmrnsL5qx+ABWoeISKVNXcZrd3m+TG4+D+iobFyA3HssVacMcmXpw+aScfqBDR0umszw4EaD2eEJnWMZXDzMQ+xtEoC7voHJ2rIcwcLWJgK2EtBaAOzJI1dn19Fp+S36LCsglgA4KfAVrC/LHAy2F/KGBIDXYHmDTWAcw4vyCejY8Z2Blh1yhpe6j1GbS8aFyiYY7Mpq7HsiwG4+edO2U5F8mN1niyerTV2yUXv43uA7g9gxfFfYnHb6lvoZ6Q6b0+B/YDKhnCUMcSkMRj3w2z3V2W1dsmQC1wMH1xQMvrvn1fdA10/i8UDXT4UNgO7ehVTziyicQLIAkGuTLEizRHlG4MTW+wLkwnyGGDHqZ/9sdmujEGLvqJ7q/eF9NDsl5QrriydpRgrmGjygo9IV8okPS6LH5WxcGRv220tm6Vxcm9kMjBQazWA0gw53V1mpBrhSohDJ4AYPcW0sc4Fb1twyc8s6WwuwtYFaAFoDzEoQGwDRE8dmZtbHc7Lr03nh9fmCdMv2Gfwzgp8rAbEBhBkEAwBL8GsDvqzvZaaXNb0S9LKWNwC9rOO1MbxS0gDAu6usVOt3YVhDwxqzu9Kshtzd314yyxpDBqNaUt1urvFjUWkM2DDCvIkTET4NgYwBpyDvD+9jtKcdm94uGzu2qLE6fesF2dgxmzktoia4PKMbrdm6FgnDN5tbZCUMQWQjTs32Lqzrga6fxOOBrp8KGwDdfYvqhOPEZM2vYBlsx2nyxptUsmAcp6WVLODG+2iNDMiFUYLrKhc0y5rPrukQaj1DhNIrPUerLSVjDWMNmCg8mHHkasvJLRSTG+UYv7XZPJ2NK13jkCowyIVUAVpclD68UVqmtvUdFtLh7hvdQx0a3yVT0xtU9CJFIYrBRWaoZqsY4OJ0IArggrm1sbaBVCYEbomljQS1NhD7xY3hdfzm3Jbts2xgOAL8SvZXsr4AvZLtDTG9LsCL5AbW8iKx4dfVoxneIKUBFcMfTuykDo3vovaN7hHS727rO0y9UVqmyyag3WUpA8eQ/faSWdbUkqUXmhFkhTZ1yu+WzNmFBAgbR5yMsIFzS8lY9UrP0Tp6T7anHb2mQ9actqCZWasOw+9DdHpGxEJaCQPuo2llYqFaddxzbadnXA8s4sb2Larjga6fxOOBrp8KGwDd/TfXyAIUcgQbmbkuyULQ3pOGXUgUJcZ5uZaaytBRGkCuMJ+dWNhUfT63pY4R+3BiJyNGjFvPpFzh8Q5T9QP5fjpqZeapkHIFG5PLUoUlgnVyxYZxLi4iw6QWFzKF94f30WYaDXADHe6nsy4JSRSsDC7LE9ZGgNvgeJY1t2BubcA2DtQagFaCWRt4PfkLvU6eWhJeXy3LbVk+i3+WFRTbQDAD4BjwGwK+YHqFptcqbWDQa5E1GAyvkDRowBt8l7Bp3DOyl3p/eB8tZ5DaXUSRce6uK4aMT0uWWHS7hWJ2bRtJPimBFOj+1tfpDSSXqkDGwO1pHDuG79InM9uoz+e21K2TIXPaw1VDUjFXvbqRr5ujJ8J5iobr0iZhkNm6SLYJNkz7b67hga6fxOOBrp8KGwDdA78gdoHbe9iAZnMC080WQLfcW3sks8C6XEvz2ZfzW+iHM5zkbD5DVu5L3cdo1zg/iME6rRTmmSXNw41n+ZhmklSYLrtwrtbjygII5H8C5KK+l6UKrMV9b2g/fdS6f0x3o80MOly0mKHBDCkKOi5JMrhITrBob8HeOgGuS5JgA7fM1LqArQ3QCoB66uu7rOurM/cmWq73RwHhEPi1AV9ifkOg1yFxiAS8aArEd4YBbyD3CTG8wWYRWbyQ/6AuG6cjaFnbP6a7lgK9N7Sfod1lKQNqhPk7xtp3Lpi43aJ/j2sXzMXkKRvUkEN9F20mcVrC3zGklkDrju8WNO5IKMGm8cv5LdzNaZxXzidp5dw+acSNSZKBEm5CxjR4IgKC4cAvqnmg6yfxeKDrp8JGA93bqjq1uQgy16xCng1onOuYtIedWYWQZEGUQui83JsbahYKDBSOW8E8SfMZEha45UkmLMA0w3FI+bBMtiKIuDanOCZXpipIqQLXmKKyF41mnKaAmt7Tt9TPljzg2BURYWssGlxk3pI8ISnATQ1uXcDWAWglWD199r6CrigwbAO/VuCbBvTmAniRzSs1vGsomiyQ/+jyicDQieQSpDOgYQ2VwlyfLaUMMpUhDbMb1TKYNrYv7vQE8qDbLUkM3CaIJAabOQ3NacjXPTa9XTZfN9g0GpnlQq8rJQyndw0yW9NiiiSS3IOTNKYZp2lsTBNa3QO3VfVA10/i8UDXT4UNgO7BZT/IHp/BFCEMaEacWIK2niSShcSZjkkkC8RC4bgVD2O4xvEQ3jF4gNV8xq1nthgxZnJlBFIuusEoJteWj2vT46IAAqkKz3eeqDZ1Ga/1gyxVQHUpR4bBbJYI4AYpCgaDC6lLkAmqUzqQDUraWyu4lcytC9gKUCsBrQ3IShD69TerQgvaxkIt28+IAsMhEMwAWIJfC/CVTK8L9BpaXsSUIaIMDC9KKIjhhdkoCeD9aHJHI4qMq7RZyrClZKza1CXbNIhUE44gs+l24757acEu6+Fd3z0b2MXGEhp4mzltx+ABejOJ1BJ8xyADCkkYWK8bI2FIml2eBOw6yQYRN2Zk68IE/FhN9e3DVdXBZT/wQNdP4vFA10+FDYDuoTt/4NTmwoCWxPmblkmIa+kxjs1cKQuBZAFmGilZkHm53Hz2aq9RhvkMMUhwhUfFiHH0UT5Mri1dgTW5sgSC25sebjtDu8GfLc5Eh6HCFw9driyFVIEjw3Qm7tyW6sv5LUJaXMgUzq2olm0xQ8GDi8EN0hOM5AQXwLUxtzmCWxeodYFSXK+FXklAsA345gR6JdPrALyGeQ1pDTCuSYYXBRRBQsO5FdVMOQNpd7+c30Jr4I9Nb2dEkUHKwJXa2FyiQnhDp6t0TjW+e67WQdbF/7zpvLzTGFxJDP8aEzuGVBPE9rE57dVeo4zmNJmvGylhsEWOkYTBkI/FtFGmOVlLlHgDY5pDq3voTg90/SQfD3T9VNhooHtvlcwN6w8X6P71JEdmuUoWjGIIR2g5UhaM3nU09DxVJ3vUGmgK8QBGXu5ns1urv09tr45MKtYME7SDb5SWqdcuG6kftjhGlVm5MJ/ZCiHyZZOSMLm2EgjW40oXOFIVXrtspHaCI+OTExWOTCo2WFw8eHWaQmA2CwFcm0SBGFxDngBwG2yUJHsbC24FsHWBWhegtQFQMFwVveLAsA0AW8GvBL5RoNfG8nJMGcsamOG1SRoE4IVZDekM2Fgyu4sIPyQzIHcXCSeoEJZShsfau3W7Uh9fKGbX9l20FUqwOY1lDPgOYpOJ7x+08DhBwffus9mtQ/m6hl734aqZexwaKV9uZZT1OFMY6HQtF+IhMm5MSshwP/7DBerbp+qoQ/dW8UDXT+LxQNdPhY0GuisCbW5QR3nuz221NhcmiFOHr3JWUebi9o3ShSHaRksWXm/vliywLtciWXDl5b7c4wr1QtfM8Sm0gjg6ZZ0gEhaSxogVKl1BOr/lsSnc3wC5XADxRmmZ2t5/iNYK7h7RW6cqQKrAkWE6ExdmM44Lw5EqpC3YED3XMGsyEwwucm9t2tvEAJdYWxe4zRXYukw6hV75Al8b6GW2NxXglWkNrONlhhca3gDA4Gga3zeOIzPMajc2MaLIWMqwf0x3tXtEb62N395/iAa7XDCBUxXW7cpyCZl4UkidfFzs2F1CHw/pELTxz3eeqF7oOl693OMKZ75upITBFjkGCUOwgTyz4zJnkUQufgmrMU1Ur+t7MkzB27roDdK3zzVU3z5TVx1a4TW6fpKPB7p+Kmw00L2/ZpY9gDY3uKHCgMZsbi5xYlaQ65AsRKYsBA9eWUF56qZGOuRe5uXi+JTNZ3CAr+s4OZSwcJ8AubYYsYpkcmUJBLecvdA1E3EkpQownO0b3UMdHNdN1/ciUUHKFM4sravO3lE709yEwgcXwGWJgo3BtRnLJLhF2gCbyARz6wK2SQBtRYHZQoJgF/i1AV/J9GpTG/67CtALLa8RURbEkzHDG5I02ABvUDhx9u6aulJYyhl0MkNQI3xwXDddMsGpDJAybC4Zp6UMrNvlcomKZnZdsWP8veQkBmjkcbICcxpkQzJfF+UruiLYFjmWNoWBNoe53JtDcWNgdTlubMdlWa1ucMp26P6aHuj6STwe6PqpsNFAd3UdkzlAOQQb0CL0YLk08ugHtLyZJk1ZcESJxUkWbHm5MmGBHd+2h2k+TK4t1kgaz2SGJ5IVUAIBPa7NdMYFEEhVQPkD2s1YqoC2plCaAseFPVNXP3D1USoazGwMrk1/G8PeSuY2Lbj93wauhQa+SUBviOmNYHkjdbzE8GoNL46mscHESQq+fzKdIWghlFIGbDoR7QdDKAombCY11u0+2n6akchgY3ZdCSj5pDG4vp+cfCKTGGz5uqkkDKzXTZrCYCEhIGFIGzcW65uAMY1LJIKTtkOrfWGEn+Tjga6fChsNdB86334jZQNaxPFYWsmCfijHSRZcKQurqmitoNTlouL34LhuWhsI1zcijtDUBPMZ1/uuIMYoKkYsaVZuIZhcTlZACcSL3a7UekCE1eOYFAYYRBvhoYqGJp2oIDNxEReWA8C1yhMKCG6/T6A2F/BbMNDrkjXkAnjXCDkDmdVOLmqsGwmx+UTEH4yhkBOhtAW6eeh2eSNqaycsJLMbl7ErY8fuoiQGrgmGnAj5ujCnIV93z8he+oRFVwTTd1LrdVfFpzBESRjSgF3ZmOaSlbExTRIRhx463wNdP4nHA10/FTYa6D5cP6vNdZVDWAwPcdpcZwMaHsKyAS1IWTjzdk9nygIerNAI6vazQJebRLKA41FIFvgBKs1nv3CYz5LEiLlqfV3pCmByOSNXJivIEgib6QwFEEhV+HTWJfqYNJSoELC4Rm2vzWyGo1OWKaDBTDC4WqKQJ8D9/yO4TQN6cwK8LGmwMLxGSgPkDMjglWa1h6lOGOyuSGaAnAilLUhlQJuaNKnJcgmZyMBZuy7Nri2NIdfvK5vTZKY1Tl2wIWUJw4ZOVyWSMHwys42O9NOtaXfWym48HSkM2GQaRmEu8RH1wDndp6VR2FYiEWh1Dz1c3wNdP4nHA10/FTYa6P5nYzdT4DCg5erqtRZDJJUsrMlqA+H6Rp4nQO6HEztp8wuMLzgalXm50nxmA7muGLHyYnJXCiYXyQo4EkVeJzu7ObMzUqpwc0Odi6sTFSSLC7e3ALhwfTsBLjS4zOBScoLU3v5vgtuKSlv4/wLo1VpeJDY4GN4owKszeCXg5Xa1NdkKbp3McFs9bVSLkzKgOhgmNXxfITFCIgMzu662wkIwu3GxYwx2pTnNlq+LU5cdgwdocyi+p9iInljYVKeeQCuvv5spJQxMShQsboyNaeLk7dB/NvZA10/i8UDXT4WNLox4vKlbm1vON06n9ktWTa6tak1ZwAOUI43SSBY4r9P2wGR2KJdj0DRM7n0OJlfW+b7ee4R6s89w9Va/oaF8XJjO4OxGqgIbXkKGM87E/cMFZpoCsbhf/7WPjjdCcH0aBjcJwK1IQFteOboVCYDTAF6npIEZXjKsIaHBalbb1CQrZUD2rsWo9vVt9dRXixsYqQyfzGyjTWoyb/etfkPVm32Gq9d7jwjVBtuY3ag0Bhezm3aTKr+7coPK+dZpJAyI+uMNKXTzRgrD2qrhanbX/bq8iQnH/frg40090PWTeDzQ9VNho4HuMy2zDEHA1CXpVC/IURhl5lqbd6RkgdrPji9oplkizu3EcSg/MF15uWw+A8iFXOFfm6SPEYvT+iGyKE6Tyxm5MLfYSiB2j+ht5OO6pAracIZ2szXBA1SwuKzFzRngOuQJ5cnepkkxSNpolmZFfXZFpETEsby2tIacAa/U7jK7uzbIt+ZWNUplkFIG/t7uHtHbWi4B8yhn7SbR7OI7XAhtPWLH8B3GRvX2CHMa5+vyBhUyI64IBtjFdxbSIqeEQTRXhiQMeUjNrAkMthKJ3UP1CdzBZ1p6oOsn8Xig66fCBkD3wLpWbm1uHlW/zhumNDe48hnX1cuE1j8UPDiXVwulLCCgnnV/7w7pn1iy4CqFgGShvB6QaZjczSXjdDYnWCEZH2bk49pMZ0hV4PIHNpyBxSUtrtVsZpMpJGRwCw1w0wLbuGpe2+K6XlutsG3FgeDyTJBwAd5EDK9LziDNalK7y+wuYshQMhGkMthMapy3a4sfw0b15R5XqM0l43Jidgu9Yf0ZSY9cZRJJJAzvDumv9fRc4BJqTVsebEwfqpK5FwZV27a88yjzcBKCQrK61mpgh1b3wLpWHuj6STwe6PqpsAHQ3f9cO7c2NwAwtjixpDdLI67mixvDcTXcgJajZIHNLaj4RWQRwugRVyTzcm31vjbzWRqQ65IrcK1oWiYXAfQ7h/XVTC5MZ6F83KAA4syyOlmpAo5BH6mWYeDW1bMnKiCrM4gL4zSFNACXgV0hgJwL2LoAbRRoBbPJS5cxpFy2z4oCx3EAuFDAV/63cjG8kYCX0hkQR2ZodyW7u65e5toKaoT1SczdNTMpKUHBhMzbhUkNzO7OYX2Ngpc0zK78PttkDLlKkFhnH/V9fpDiALki+JWeo3VFsExh+PvU9uklDNSYFoqDDE5ZOA4yTYlEiKSg0zip1d3/XDsPdP0kHg90/VTYaKC7scipzc0lqiZpALnN1KCD6oMOdRyDnr27pjqztK42t3w+t6XW+h2e0NnQ+SFlARq/DZ2uMh6MqBZd4ZAs5NJ8FtewJE0s91yUbTyz5eTamNx3Bg1U7w3tZ206+2x266x7+6ZGGdNZkMupTWdghZ6orcsfbIkKVhYX+j9otgnkRgHcfPW3UaxtkgpdCWoNkIqKYVq6eCHhsn2GCwTbwK+N+S0025tU0uBKaDDSGYjdtSYzoGQCFcIPCZPa0rq64AVGUsSPySa194b201m7ktm15eyiQQ0Z2DI5pby+1yxhWHHxHF0RzBtXpDC81H2MNYXh8ITOWW393JbaPHpmad3MRhVyo0drZO6NQXGLy0Rc6IKfUO650Oru31jkga6fxOOBrp8KGwDdfX/sHM7NtZRD5B0nJtgAW0yNZoUerZFhhFaRZOHWC7RkAceekCwghF5KFmwVv/KBKDV9+T4Mo5qVcMzJD0Rb4DyOOiWTi9B5yeTaTGfnfl0984CUUgXo/ILjT2eiAseFWVjc8gK4caxtVEWurMkNgdfjN2cXWsSwPl+Q25Kfwz/DBooFCE5TcZwP6M0J8Ep2Fw1ZtmQGfIehr5dShpVVsnm7wqQmmV2UvdiYXU5jkIUv2MBCjlSIZsM4OZIsk8AG1lYRbJMwYON6eEJnLT/SEoag0EXLjtZWzUoYNjZ2xkLaTuXyiRtzlUggV3ffHzt7oOsn8Xig66fCRgPdF7s6tbkMZnKt+tUPTZRDBEYXZ5zYU3UyD8c1gaHl7po6qgj6PmRyIqKIa0VlygIzP0hZiJIs2FzahQqav8fi0pZMrkxXAJPLGblHpxTpwPkv5l0Ujg9DPi6bzgTIRUyRBLlaquDS4jpkCuUJcNOA2xCotYHZT+eZ6+M59nVsprlcr5OfZwPBAvzmAnrLC/Da5AxO7S5JGWTu7jevtLGDXZjUgrxdGT8GZvfY9Hb6lAZyJMns2nJ25febT2sKWfwiU1RcEgbb91umMMBUitQUaO2PTW+ndfb4Tp+9u6Y6tyIT4/btw1W1gdRV9HPq0HhDq8v38rSsLl8XLq3uvhe7eqDrJ/F4oOunwgZAd+9LvTSDp9lcwQKk0ebGVUlqRshSJakfjGsyZhZo+8D+wMQiJQvvDBqondp4EMalLEi2x5a7masu12ZYsbmzf99ueqjxTKYrQJMLJpczcsHkWk1na8it7ZAqaMMZWNwoLW45ANyk4NYKbJmxZVArwawArSePTtPtYFinDl/lXofGZ1bEa/iz8PkhcGwDwQR+mfG1Ad9Cg968AC8lM+C7bDWqsZQBebs2kxrFjyFrF8wuNLsyjUE2qP2+3XRnlbc0muaq17XlYstTm7gUBt7IsoRh76ieehMLUylOabTWHt9r2Zgm4sbiTufiqtttWt3Q6VzQaPnVvlFq70u9PND1k3g80PVTYaOB7qt9zRzGPHJz+WEZ0nVROUSqOLFA03d8QTPN+iBwHlq+7f2H6GalzSXjIlMW+OFXSMlCVFbuPaIQ4sEfX2ttUnqp+xj12mUjjXQFPtrkKCKjCIKbzqDne5jMK4GmT4NcVPiyVEGCXJhZIsxmuYLcJHFY1qYvaZySBQgC2EpQGwKvB8YY66t9o1It+X4Jiq3g1wZ8baCX2F4b01sIwJsU7BplEy6wG3yn9eYVJjUkqKBNbU02RUXHBdqKJYjZxfccaQyvXTbS0OBz0yHMpji5kZvafPKx4yQMUoPvSmHYXDJONxvy9xyFL1wPDM196rgxi1b35FfL8tbqGqxucA3sfbWvB7p+Eo8Hun4qbAB09/x5QCIDQ86xNFwOERjQtDYX5RBSmxsRJ4aa332je6j3h/cxMnNf7nGFeqHreLWh01WRxRBSsuCKEkvC8Mxv6G5Qko5sPPgQI/Z00dVqQ6er1KYu49WWkrFGre+7Q/rrCDEYz45Nb6dBrq4NjdLkrquXeRgyyLUxuVF6XGKCbA/JQjCJNoAr2VtDkiCZWwuwNUCtBLJ7y/Q6vXtodu0alG7Re/kzQ0BYgl8JfG1Mr5A4yHa5QmqjpS6TfxexzC7rdi3M7rd/bJa5BtfVi9TschrD53NaaXkSvuvQ4XNd8JaSsWpTF/P7/nDbGcbG1iVTYr3u/DxOcGzf+agiiQ2drlIvdB2vjaao8H5/eJ9stm5QD+yMG7NpdV9vb5hJTx0YY5ZIFDImUpAXe/48wANdP4nHA10/FTYAurv/MqygbK5Tz4VyCHoY6gfhHy7I6M7WZh6CONrkODG4sxEnxjW/0pW9ruNkI36IUxbiDCq5aPb4GJMlC8jKXUlZuTJG7IWuGZDLtb5cBuEynhlM7opqZtMZxYcZLWcUHYaQeS1ZoVal8pAqJM13jWzxsgFbgFpiaRnMAsB+vbO/Lj/4+q991Jkdl2XX2z31Oru9JNHi9/Bn4fPx8wCIGQRL9hfgNw74ukBvVF5xuUoZgt8D/vvrKm+Y1LhNTcaPBU1q51aEmV2bQU2WSqAueEvJWKMQRn7vV1LGLksYbHKlXCPHbMZTTmHg7/26jmaqyhulZaF6YMSNITJQx40F0qRvVwdg96k6mXtnsJHlTWyoREL4LgrJ6u7+yzAPdP0kHg90/VTYaKD7xuVZNpdCxnO9Gbq0uTCw6HKIOG3u0rqGNveTmW00wwNtLtf88gMPmr21dIxpe9ixXq9QkgWb+QwJC9KcgmNMOLElu8NlEDbjmWZy4zS5Wy/V4fL6aDNgfPTvHqAqIlWhUAAqqrHLCnCjwC2ztQ5gy2BWg9VtXTLrzWK9zm29NNXi9+rPk0AY4NcGfC2srxP0JgS8+TK8LnY3lMpAvxv9O0GaCkxq27pk5Elxml3B7LJBTZZK4BTnrX5DdcIK5Eo286mMEmRzWqEkDDZdPm9yf3vJLLU2kCuhHhgbXC6CgVYXJzgcN/bV4gbZuLEYrS5KJDSra9Hq5kNicPnPyaPT1O43LvdA10/i8UDXT4WNBrr/d1Rex1uJtLlU9avLIVibGxxpInMT4fInFzVWx29oHooT48xcrvlFnBg3J0VJFnIxpSSJGmKQu4paz6T5jEEuWJ1dZaXGw04yudp45mJyqemM48OspjPOxo0BuFHXQT4MbiJwyxpbF6iVgJaA7Lmtl6pzr7fPrD+3zURhvdImA8CwtrTMrs0tohe/lj/jlTb68/XPAyAO/j02AGwFv6TxTQp6C83wRrK7DHg5c1eY1Iz4MW5Si2B22aDGzC42ubvKSvVpjgS70pyGjF2Zm10ofX5UCgNLGLj5EHFjLGGwZesibuz4Dc0zTYdBCYzOxoZESWh1USJhsLoF0Oq6ZGm7/+8oD3T9JB4PdP1U2ADofrBtrPMmGAdwctLmBuUQzqrfX1dXXy85X321uIEOlYc5RcaJSQMaGB02paAe1MbmyGPLpA+4OOe1i82xmc84RmznsL5q76ie6sDYEuP40mByAXLjmFx+6KEEwmU6I8CUL8hNnNeaEOAyc8sAV4JbzdIysAWgBaglEPvtH5tl1qYm2bWxcXg91zCzbH/H7w0+zwDDAfjVAFgCXzC/DHol4CWmNxfAm09DXRTYNX5/LpMa6/GDzW0iZpdkDMzsHplUrA6MLVF7R/XUGbsydkya02ynOnGJK0nvAzYJgzzVQT0wm1BlY5o0piFuDOZTlMF8tbiB+nrJ+Vk9vqsa+M3igmp1cQ24yIwPto31QNdP4vFA10+FDYDurrevij3WigoWj8rNldpcrdtjba6t6veW+urkosbqi3kXZeLErumgPpzYSZtSECcG9zVXgyJOLE6yUF4sjq0O9PciOB5MzmuXjVTb+g5T7wwaqN4f3seoBD02vZ0Oj9cPudvqZSPEVsYzuVbTGTR7Dj0u2MC0zZixYQAAIABJREFUTGBOABcZs0KaoDWfFuZWAtsQqCVAq4EsA9b1DTL/rf5wQQYgrKuXOf59pm7mv2Oahffhc/C56xuYADkAwhIAG+BXAl8b0wvQK6UN+O+YEPDm83vF9RGl29UJK8KkFsvsrqTosaBUAga1T2ddoo5Nb6eOTCpWB8d1U3tG9jKiBV+7bKQ2o3JRjNz0JsnQzvd0J0rCIOPGXug6Xqet4F4AE+qHEzupo9d0UJ/OuiSz2V3UWJ2+pb69Gpi0umxMC7G6jlzdpAUSNnnarrev8kDXT+LxQNdPhY0Guu9MKVejgtTmGuaUZ+o6q35PLGyqo4b44bZzWF8dJ4YjSxjQXHFi8rhSOq7T5mgmbUfCcSVALkLjXeaz/WO6Zx5ulKVp1PqiDALpCg4mN1TnCyaXQS4ZD2UxSNzvPqlMgZ37UTWzsQCXmVvB2obALQNbCWoBZp+onVmP1cysR2tk1iPV0i28D5+DzwUItoHfAPiGQK9ge5npTQV4RXudKzEjrZyBv++ySMD43jPYtTC7RkGMZHZXZ8GuLpUI6oI5Q/vDiZ20IdVmTuON7+MdphoShjStiGlTGNiYJmVMcXFjr/QcrY1paEHEpheRgkhasVYDk1b3m1fa2LW65WQ43vXOFA90/SQeD3T9VNhooPvuNG1Cy+c4yxU9E9LmcnMStLmrhDbXESe2c1hfHSfGDzVuSJKShTsTSBaiHmYuyUKSvnvJ3uCokh9q7w3tp3aVlRqFEJ/MbKO+mHeR2Y4EFmcV5eRamFxnfBibzoTpMB/DWeIcVgvA1SYmSBOkLAHMrQ3YSsYWoFYCWgaxD1fNMGAPBWz4mmCtzqxvHhBrlVji7/E+/Tn43LVVMz+LwbANAK9vEGZ8bcA3YHqlvEG32MHA5gC8URFxuW5onLpdiiBzMbtaviSZXeTsrqKcXWpF/GLeRfqegEKJXWWlRpb2Kz1Hqy0lY7WUSZbGSHNakgSWXO4NLGG40yJhkI1p2Py+2We42jF4gNo5rK87boy1uqssWt0tLcNa3ZgIyZxkasHve9e70zzQ9ZN4PND1U2Gjge5fZ+a1w4/V5sKUwg83qc29r6qhzZVVvwfGlqg9I3tp9gYGFFSBgrlJEicGPV5FSBZs9b5oPkPCgs189vmcVur4gmZZA8rSuhldHmp9OSc3iSZXyBWi9Lj5SBViywZknSwxuAZ7KwEuyxIAcMHaAtwC2IKhBbBlULuaAOzKYN1XNXP9raiWXctjFr0W79eft4pAMINfBr5gfxEDFzDy325sHAa8MBQKwKtZXhvDKzS8hSz9iAK7xu87htkNaXY5Z3dN9p5wZmndrDF1QTN9ymMzp73Vb6jRnCZrgitCwhDVmCbjxh7vMDV0b9haerk+5dkzspc6MLYkVA1saHXvqxrW6tKmFxveQml1bSd4u/460wNdP4nHA10/FTYa6L4327q7T1MPKSNnThybqR9uugUN2tyNjZNrc0XVL2pAEScGlzUbT2QDWr6ShSQ6PDA2KyOOJ2E+21p6udrWd1goRuzolCJdCHH8huaZ7Mxb6meYG5hP2HhGObmxmlwAH0eyQi7MXuK81YQMLrJXte72z221JEEztzZgK0EtAC1YWIDY5dUyZqe7a2bWnbXU2Ttqq7N31FZnltXJrKV1jfX1kvONJf8e78PnnL2zlv78c7+urkHxN/dV1f8eAwAz+LUBXzC9gcRBg17oeaHlTcjwJgW8aa8BZyJDDLNraHaRs8sGtcCcemZZHXX6lvqZhsSgKvjY9HbaoMqxY9v6DlNbSy/X5jRXS+JKceJTSP2+TcIgG9M4bgwpLDCmof7bVg2cSKu7sbHW6uq2tGBDpDdCdKqTV837qSVq13uzPdD1k3g80PVTYaOB7vvzCpKtGCqIkLm5nLTgyM11aXNRAYpWpJd7XKEd1nw0yVFCUXFiaR9gafvtbaUQL3Ufo17tNUpnZu4c1teo/USUELchfb3k/AxoWkEh8QC56xuYObkVyOQmip2SLVoWBteQKJCx7JtX2kQDXLC2NnAbsLQGsA1ALcCsBq+31VOnb70gs26pr9dXixtELn4t3v/1bfVMQAwAHIBfAF/N/tpAL9jeKMDLsgZUObOkIYrhFfrdfMBuQZldMPVoUAs2wd+uDmLH7q5pxI7BnPb3qe2NOvCdw/oa2dqIHZRlEquD+4StIjifFAZbtq4tbsym30cSC0ok3uo31KgGjtTqylxdTmCQWt0CFkhgU7vr/Xke6PpJPB7o+qmw0UD3gxsSO3CjdvV4qLE29/SuQcbD7NtNTYze+1BuboQ2951BA7XhBHFikqn57SWz1IqL5+g4MdfDq9BZmcsj6j43dcmCXDaf7RnZS7cgHb2mgxEjpsPh76yV7beHXAHg54/NwnKFhExuoYGNVaYQA3ANBhepCWwoA7h9pm5WkvBItazGdrVgbAFqBaAFiP1qcQN16uaG6tRNjdSpmxqpk4saq5M3NlEnb2yiTixsqk4sbKqOL2iWWTc0j17B6/A+fM7JRY3155+6uWEWFN96QRgAA/wS4/vtatL4PlItK3F4pq4BemFkQ2qDleF1Ad6E7G4+G580zK6Rq/3HZtnfO2Vrf3NfVXX2zlpGiQxix45e00G3JbK8CdGDSGVx1YIvL4eMbdemGHFjKy6eE4obY2MajKqIHEyk1cU9AhvhTU2MTbBuQ8T1ILT6aU7z5O951wc3eKDrJ/F4oOunwkbn6O7+F32jK0SmIo6m9YPM1oLmyM2N0uZyODwihOSDCywNP7hcDWhRjmpXykLccaRLsgDtHYfC64dXkJUJ/Z02nyFG7IEA/BBbY8QIbeuSmslNm6yQBORaWVwueQg2PqzB1QwuJAqSvQXAhYlsDWlsA9YWjK0GtwFLy8AWoFaD2Ruaqy/nt1Bfzm+hvph3kfp8bsvMmtNKr89mt7Yufg3e98W8i/TnAQhrAAzwC+AbsL8a9ILxXU4ShwcChg6mNgBewfJqSQMYXqHh1XIGzuGV7G4Bwa5MZEjM7OIegdhBPvV5qEpW3hTEjsGc9vncljpjG5tiLpNhLb9LwhAnc8rnniEb03hjLE9/ni66WkcPcolMYq0u5+pa2tK0Vhc52gXKTj/19V3qg93/4oGun8Tjga6fChsNdPf8LD8TGrM2Qe+9oc11tKB9uzqdNperfqU2FwY0GScGduZnKdiZpH32MmVB9tnzUSRALvJyXeYzxIgZrWdrq2YfXixXCLIycSyZlsnNFcQYTL4L4AZgxgpwWYMLBhepCSxNAHu7JitJYObWALZgbG9qFAK0GsgG4PXTWZeoT2a2UR/PaKs+ntFWHZveTv19anv196nt1dFrOmTXlCL7otfgfcemt9Of98nMNurTWZdkQXEAhCUAPnVTI834GsCXmV5IHNYIlhfShiC1wWB4haQhBHhdcgZKZrAVTeSyGUrK7ILd15seyBiwKV6bTWbRSQw3NXKa0zhfd2vp5YbUaV3HyVrCII2rSVMYou4d8hToZ3QK5Iob+z0Z01irK6uB47S63652t6UZWt3DV2VrgYN7RD6mtA/2/MwDXT+JxwNdPxU2ugJ47+Kcjq1sJjRnQYStBQ3a3GV19HHk53Nbqk9mtkmtzUU5BDupZZ+9bEDLRW+HyCBOWWDJAkcGbew8IaTLfW9oP83OcPPZl/Nb6IcWwE4oKxcPLoDcN4v1UXVaJrcgx9IWti7UjBUkKegM3DeLTQ2ulChAe8vsbZCreu7X1TVzy5KEUzc3VCcXNdbgVrO0AtgC0ALEfjS5o/pockd1ZFKxOjKpWH04sZP6cGIndXhCZ70Oje9iLP47vB7vx+cBDAMAS+AL9leD3kWN1ambG5oSh4Dp1brelYLlhZZXShpIw4uYuTM7LtMJDWxW0/m74lophLwlLbOrpSy4PiBzWt8glLGLewY2x1/ObxFqTtszspduT2S9LrcnPtp+WkjCIO8duej6ZWPaon8y48bkvQNaXcQQJtHqfjKzjfp8bsuszAn3jFVVwgkMW1rGFkhI+UJa+druvYs90PWTeDzQ9VNhA6C7Z9+t+RVEQJMZgBzN0gTARmvvkJW5lnR3ATtzclFjdfyG5tpgcnhCZ7V/THftpEZu7uaScWpTl/GhI0hblz1rc5M+qKKqPeMkCzatnaz25Lxcl/ksFCPGWbl4aAWMnWbrAF4EcMmVyU1sNOJEhUCmgLIHw2jmAriSwYX2ltnbQJsJcMvMLYDt53NbalALlpYB7ZFJxRq4HhzXTR0YW6L2j+mu9o/prvaN7qH2juqp9o7qqfaM7KXX7hG9rYtfg/ftG91Df96BsSXq4LhuGhgDBAMAg/3V4HduSw18DaaXdL0a9K6gshC04jHDGwF4md3V7D+uGYt2N1cpQyyzy2AXm6KA9deMPzbHtoxdiiK0mdNkvq6tKhz3j9+nkDAkrQp3bZSjToOk5GlTl/Faq4tc3feH91H7x3Q37h3Hb2iuTi5qrE+BtJ5/Ld03Ai0/rgOc/ujNDn7veRRI7Nl3qwe6fhKPB7p+KmxsQLdQJjRrQQRyMh/KBsKfWVpXnb6lvjqxsKn6Yt5FWm93cFw3tXdUT/2gitPmsqkkLioo6dGjjc1d4tDZ2RiZl7qPUa/3HmFEibFk4ZOZbbIO6psaZRIWpGSBs3ID8MLABUfS+qEVZKfmw+QmKgVAwoZFqhAymyE/GfpLMHXQ4DKDuyoLZAz2NmBu0ZKF8gC0ZRmM7ZQizdAentBZA9t9o3uofaN7GEB2V1mpen94H/X+8D5q57C+auewvuq9of30endIf2Px3+H1eP+uslIDCOPnAfiCBT4yqVgdnVIUYny1xCFgeqHrxQaIWV5tXmOGl9I4dEpDEEnGTXkwq2l2VxrVYlIZ0lxDTmYXmco4AQgkLrwx0psiztiVEoYl52eb0+a0Up/MbBOSMCBy7PXeI3TkmDwRsun7l0To+5NIn5JUA/M9hE2sUquLjfLeUT11FOHHM9qqL+ZdpE4sbJo5CVpaN1soA00/TGlRBRIFMKV5oOsnzXig66fCBkB37/4l+dX9yoIIGEwCgKPNJcERJJIWtLHkpkb6+PHoNR3UhxM7qX2je6hdZaVaZxenzV1uYXPTOqflAyru2PE+h2QBKQvcXQ+Qe3Bct6yhhPNyb73AzMRk8xll5WqQC7DCTK6lxz5tTm5OkVHCbGYAXLC4SFJggGthcJGaINnbEwubZvW2c1pp5paBLRhbgNq9o3oaYBYAdcfgAeqdQQPV2wMHq7cHDlbb+w9Rb/Ubqt7qN1Rt6ztMrzf7DLcufg3et73/EP157wwaqHYMHqB/HoNgsL8HxpYYjC+AL5heSByO39Bcg15meXVqg43hFYBXl4mIdAardreAUXRRObta182nATCwBtp+o2AGJlZpTrujtjp96wWhfN2PJnfUm2XW67522UidwmCTMMgiCZf8Kc2G2ZbYYtPqrmkz06nVxX1kV1mp2je6R6YmPEhq+XJ+i6y2/85a2QQGXAuBedUokNg1KLJAIi2ru3f/Eg90/SQeD3T9VNjkCnRzMqEhLgiMjMOEBjZmz8heauewvrrW8+UeV6jNJeO0mURqcxH8HqfNTZOZK40ktwUPp6gsTJmywK5pPnY0IoLAxrBk4ZFq5tGjzMq1mc9Eh70NnOQCcq2mMwvIhVRBsrgaqOAIGmbEh0iDyxKF2+pFAlwwt5AkQI4gwS3YWQa2ALUAsm+UlqmtpZerraWXq9d7j1Cv9x6hXrtspF6v9hplLP47vB7vf6O0TANhBr8MfHcO6xsCvZA5QOIApjcK8MK8phleaHgfIjMSrh+Y1UjbzexuFNh1mdTSgl3bpolPBSJjx3ASgOsHZRLcnEYShk9mtjHkT7bUFqQwoFHRlsF9ewszbowNrbncT1yb5hWBVve3l8zSJ0Mws24uGae1utv7D1E7h/VVe0b20qdCzgIJPhGC7KkcTWke6PpJMx7o+qmw0UD34LLIB5crO1EDHyqIMExosiAieEBpNjc4djy+oJn6bHZrdWx6O/XhxE5aX8dHjltKxqpNXcbrOk+pzb2rQNpcZmCSHDe6JAscJbarrFSD3KNTigwjiQ59D/JyI81nloSF0JGzACX5MLlJpAo6IgosnIyJQpoC2DgGuCxRCAAujGVae0vg9ug1HdRHkzuqDyd2UofGd9H6Wga27w7pr0EtAC3ALEDsKz1Hq1d6jlYv97hCvdR9jNpSMlZtKRmrNpeMUy92u9JYL3Qdbyz595tLxun3v9R9jHq5xxX68wGGAYIBgAF+3x3S3wC+0PkeGt9FfTixU0bXG2h6AXq1ljcwsIUALzSaDHiDtI4Q4EUyw87+4Wi6CClDIZhdY/NE11VUEoPVnEb5uqdubmgYWpHcsn9Md7WrrNSIHEsqYXDJoJKeECXR6iJXd5XQ6j5bnNHqbikZa0igoPP/cGIndWx6O/XZ7NbZxJYl52tWV2+YZYEEm9K4QEKcBsXJ2fiesffgMg90/SQeD3T9VNjYgG5q2QKa0FKY0MDmwoQWVxDxaq9RureeGRjpli6UNjcq7F3GidmOGl/pOdpoPwMDg5QFAJbUkgWZsCCPHSPASEGYXHHMLOtcDcc8B/8jIurhrA4XRjOpwQWDC3MZ5AkS4IK5hSRhx+ABmrEFuGVgy6AWgPaFruPVpi6ZtbHzBPV854nq+c4T1YZOVyVaeP3GzhP05wAMAwAz+AXwBegF4wu29/3hfTTTKwEvZA0wr2mGV2h4tWEN+t2HKZouYHeNDGY2qlHJhE0OU0hm1xo7Jq4tI4khhYQBGySkMPAJEVIYXuk5OlIKFWVsTVo6k1ari/QWPiF6vvNE9WK3K7WpNbJAgkxpRi1wElMaNaXlIl/wQNdPmvFA10+FDYDuvkN3pg4I12kLLFuQTWgOExrqfqUJzVYQ8XrvEerlHleoF7pmm40ebT9Nt6DdF8gWbrc4pXPV5oJ5iYoEsjWgvdB1vHq5xxXq9d4j1Fv9hmr2hTV1n8xsow0kCHs/e3dNe8qClCxIXW6M+SwJCInT5OrNDIxDFibXajjjRAU2m63MMvpow/tqcQPN4kKiAHMZAO7Bcd0MBhelADsGD9ByBDC3kBwA3ALYMqDd0Okqtb54klpfPEk9WzxZreuYWc9cOkU9c+kU9XTR1ZELr8P7ni2erD8PIBgAGMAXoBcSCDC9kDnsGDxAl4kww4uKaGi7YWKEce3kosZav6sNa9DuslkN1xUXjrBRzcXsBtdYnCwmzXUWa04jva5TwkApDKgI/mpxA31PweaZNf87Bg9Qb/Ubar2v2MytLjlUrhtoyKFkgsu9LTNaXbSlPdp+mvW+YiuQsJnSjKgxhymNm9L07zlIX0hbILTv0J0e6PpJPB7o+qmwYaCb5HgqVRMam9ACXZ02oVHgu8uEJgsinu88UT1bPNnaVc9HjGxCy1VLlyRObG0QJ/Z00dXGESPigELMC9rPZMoCV/xGSBZ0qxEnLFjMZwVnclmuIKOgcLQcaLG14SyCxUUGKnS4DHCZwYW5DMYyZm/fGTTQYG4Z2G4pGavZWoBagFkA2CeLrlGPd5iqHmufWY+2n6Z+3266+n276eo/gvVw2xmRC6/D+x5tP01/3uMdpqoni67RgBggGOAXrO+WkrEG8GWm951BAw2WFwY2mNeY4ZWA9+vb6mWLJyS7y9m7bFRDqxqb1HhDFSGPKQSza5waUBKDodd1SBi4IlimMMjWNJwUIa6QJVFPF12tft9uulqbQ9xYWq2uq0ZctqU9WzxZPd95YqhAItaUhvSWB0jvz6a0lE1pcc8HD3T9pBkPdP1U2ADoHvjbr/NKW4AhCeDH1YQmI8WSmtCklm5twOautDyIwLqkOV6MihOL0ua6GtA44F1q6dg4gqNmg3lxSBaYaTNarYSBJElMXE5MLssVuLYVIHdLy6weF4aztRnNsTYfgsm/9QKtp4RMQetwpxQZDO6ekb20vhLaWwa4r/QcrVlbSBEAbsHQMrAFqAWYXfvja9XaH1+rHvzxtWpNm5lqTZuZarVYv71klvrtJbNCf47XPxh8xtofX6tBMINfAF8wwAC9kDqA7YW8AYCXtby7ykq1oREM79EpRVn9biBngO779K0XaGZPm5NWC6MadLvI3A0a1UJ10uL0oBDMbuiaE81pJ47NNK63WAnDqipaCsP3Fqn95wIaV2NaEq1uPvp/bKRxWrT0wuxGGqY0JLnYCiSSmNKMqDFXU1pwX4ERMZ/0hQN/+7UHun4Sjwe6fips0gJdWxOafiBFNaGRS/rs3TWNrnr5IJIFEWBcuCBCuqPjmozSanO56nfphVnDiDxatMWJvdVvqDUGCA8iHC8axRAPkWkEFb+spaMjRiNhQRwzpjWfudrObAYhIx/XZjrD7/qJ2lnDmdTistlMAFyWKIDB3Tmsr9besu5WgltIESSwfbT9NAPQriHgen/r69Sq1tepla1mq5WtZqv7grXi4jlqxcVz1PKYhdfhfficVa2vU/e3vk4D4zWBxAUA+NH200LAF1IHCXpZzwst785hfTXDKyUNBuBlsxprd9mohhgyljJIkxrydiOMj7mcJDjNaVRCwrncukwC+bpcERzE1MkiCUgYPp11iTW28K1+Q51xYzZp1NIL7dXAuUqjbNncnOYiCyT4xAi53FZTWvB7NyRRj1SLbUrjUyLO1PVA10+hxwNdPxU2cUA38pgRJrQgbUG7pLd1MR9E0NKtDkeKoQktqQmNNXT3CROa7Vgx3wdQVF2nNItwsLvU0B2b3s4AIKGjxYcpBmhj43jJAkU/5QM0IuUKtjB/mIMI5H6zuYUZ6I9NDbO4rMUFixvocGE0Q/6tZHDf6jdUvdlnuHq99wgtT2CAC+b26aKrNWsLcAuWVgJbANrlF89R97a8Xt3b8np1z0XXq7uCdWeLuYkWXn/PRdfrz1lOAFgCX7C/AL1ge58uutpgegF4IWt4vfcI9Waf4XoTxQwv8nhhWIN+F+yuod0NgI+WMqBVDQBIJjLA/OgoJYmTMeQlYRDXn1XCgMg6nBgJaRRvqLCZYg8AF9HYzK5rUlYD57qhxqmRLZ/7sfbJTWnclMZRY5rJD1h8vZEOfsf6/oL0heB3m/Te4oGun7Tjga6fChsA3YOH/z2dbEE8iPTxIrJzoaNzmNDgrrc9gGAWsTEtNlf0sgvnxh4pptXmAuSyNpePFKHNXV88Sb3QdbzRgAYQImt++QEUK1kI3PAc7G4wapYw/7xBriVCzMnkwnQGaYqUKiDfNGBx9cZmQTPN4qLoATpcCXBZnsDgdmPnCSFwCynCWgFsAWoBaAFMbw9Ay9ILMwBjSfPMsfRtgfwF6xdN7Ytfg/ctCcDK0gsz7NztBIQBgAF+GfiuDeKkkN7BoBd6XoBeljXYAC/i63DNfT63pdbunr6lfrZQACcJqylrFVIGaMMDHWciZlc0auVyLVpLSeR1yEU0r7dPLGGQ1eKIL0TcGBrTXuiaudewVjepRCqJVtclkWKtri3VxXVytGPwAOuGGmkckaa0wOSqT4y4EphMaUk30QcP/7sHun4Sjwe6fipsooCuzSWdqPJXPoAerZHNu5RMSxABFNWE5jKhAbi42NykDx4AXduDx6bNBRO3rmPGJLK5ZJx6pedop3bOMKDhSBE5l6vjUxYMUxDrcnOQLLiaqkJlEC4mFwBjS8uMXAFHxzCdrabyh+B3rQ1nAbMGFhdmM+hwkYG7vf8Qg8GFuWxj5wlqQ6ertGmIAS6YW7C2Etze2WKuPnpeQoAWwPXnwXH04iaZ3z/Wz/7Jvvg1eN/PBRBm8Hs7McAMesH2gumVgPfZ4oysASUkMCSB4YUDH9ccspphVkNeMzZZOuXjjtq6ZEJfg4ggW98gcx3ieJtj7WzMLkWPpW3ii83XDfS6bIKMTWFYLVoXsakOjGkuL8ArPUerzSXj1POdJ2qtblLTKzbWuJ/kurHG/ebeltfHmtJsTWmILpQnR3pTg98xb6gTVgLHabA90PWTZjzQ9VNhEwd0JfNnTVsgE5pR+QtXtMWExto524OHTSKSYWE3tGwuKoRBBEkLUdpcxP5s6hKOE9s9orfaP6a7kZnLNb9nltXJOuFjJAsGsOBq1hyOi9kEJBk0V7qCtY5Vms4erZHNM11hGs64+IG1uAC4qGeVABcZpyxPgPYWAAQSFjC3KwJgC+Zt2YVzQ6B2MQFY5KFyAQA2SFjzHYtfg/chIxX5ywDE0Hoz+IUcBpIHNGPdH4AbsLyPtc9qeVnWgKxmCXhRMw3Ay9pdFE2EjGqs20UEGZnUImunLZpdPmFIaop0ymi4hY83XnEShkAbDskM1wNjk7V/THe1e0TvUNzYpi7xMYb5SKWiCiTQvOhKd1lfPMkwvUaZ0jhqzDClIdWFKoHZlBaVvhB1n/FA10+a8UDXT4VNGqAblbYQqvzFgyfITwXLh5xLPHQ+ntFWHZlUrA6O6xY6SkzShCbzLW0FEbkGucdpc8GyQTP39sDB6r2h/dTeUT3VwXHddJyYNKCdvbNWlkkDsBBd9EYxhJAssHYuH8mCEdjPZRCUkxvS5NqY3KAERDdUBUfGaLxj5ztinuB+h/EQrBrLFAA4IFFggAt5AgNcliTw8TKDWwa1DGQBTmzXy3X1zeW6lgBg5jc0K6SxgfpXYn4hi2GJAwNeKWtAVjOMa5u6hOUMyOFFHBm0u0hmQOIHou0goTHi7dZGMLus2eWcXSqVyKewREoYbJFjRsW43FgjxhAnSCur6Lgxmdd9dEqROjium9o7qqd6b2g/9fbAwYYnwFYNLLW6+RTTuO478ASwKS2uKQ3ylYPjuqkjk4r1CdLxG5prBl+z9/j9YmMtKoHzSV/wQNdPmvFA10+FDYDu3z78jfPhE9JxRqUtyMrfIEMVR4lg+cDm/n1q+5xMaDYXNNjctMyKi82Nys1lbS7ixFj+aBKoAAAgAElEQVSb66zmZHPI2oBdiZMscMqC44g4F5BraCFlhBi73KHJZSb3idqZByabzoKjYjacIRcXjneACwT3IysZbJoEuHDAI2njt5fMMqQJALd8nMxabQlAcE0AtM6q/1N17QWZNeOCn6ppP8quqfWiF792xgXZz5lFoNjG4IHx/VeSO9xGEgdIZSBtAOhFYgNc+BLwgt1FOsOuslK96ULyx8cz2hoxZMjcPXtnrSzrtybYgIH5Y2Y30Oxac3bpuDuNttN1v7GdNuhNWJSE4YnaWiuuGxhjqsbfHdJfx425tLoyV7cQrK4skLClvKQ1pUGfraPGbr3ArAR+uGp0JXBE+kLU/eZvH/7GA10/iccDXT8VNi6gK7VzqdMWZOVvYA4BCOIuemZWbE1oMu6HTWhLIliVNFo5bkHjAHebVk5qc3F0LI8QoY8EoNAGNBknFrjdNZAIXNBWc0gOpp9Y8xmOhmXjGXJyOUJMMrmrqOVsaV2tx0UFK0DukUnF6sDYEqtUASwumDTIFKDBBYPLAJfBBgDuYpIkyA0PmFkAW4BagNar6/1UTT4/syadP99YE+uaS/493ne1AMEzBPBlMxIADq47PrrmTRYDXjC80PBCzoCTBbC7NinDgbEl6sikYt3Mhwpq6HbPLK2bbVNb5WB2KY0hlLMLZldUURfsOrWZX+m+o7N1scEWcWO2e49NMoVq4CitLk4PmNXFdZevKY2jxmBKk3GGtqY0eZLkvPeISuBc0hdc2msPdP2kGQ90/VTYxAHdkJYzLm1BVv6uMY8QmVWRWrl8TWh8JJ0royIrOV0PmlTaXJFpaW1AE0eIoWKIHKPEEuWVWkCujBAz0hUimNwTC5saetwjk4rVofFd9O9457C+OhMXWlywuDaAu5oALssTuKVKbnIY2EpQC0ALADvhh/PVlcEaWyezxtSZp9fo2vbFr8H78DkTfpgFxAyAGfwy8JVH2HwdsqwBgHe1A/CC3YV2F9m7yN3dP6a7IWWAbldXUbuYXZnGQDIGK9jNI985aWuaIa1hyZSrMY2zu1NqdW0b7Xtb2tvS0p4ouZoYczGlyftP6DQJkqk19krgJOkLUVIpD3T9pBkPdP1U2CQFutIckk/awpfzWxgd9GD5cIwN8MNNaA+3nWGN+SmUCc3VgrYy5ugQublx2lxtCFlJAEK6n7mSUxrQRPtZmhYqZ3yTDOUPWDJ5JGwE81uYXOiuT97YRNc5w3TGIBfVvVKqABYXSQrQYkOmAAaXJQq2KDkbwAW4lcCWQS3A66ja89SIWj/Rqyxm8WtHCRDM4JeBL0BvFOC1tfLdTgwv5AzQbiKhAeyulDKgShhAiE1qqI3VMoYAELmYXZ2zSxIbnD7IMpNc4u9sSS+h1jQyphmV47b7T7DRthlhXVrdraWXR0qnVpJsRl6PuZrSWM7yi6b2WMOH284wmtL4ROntgYM1ew+Zyicz22jWPu/0Bdq0eKDrpxDjga6fChsb0JUVnYZpidMW4MpHrmXCtAXOzj00vkuokhMaOcRIJTWhJWVzbQURi+kBw/q4+wMzCLS5zxZP1q53W26uU5vLBjRbcDs3oLEBzSFZKCg7JjNKAXJfaRM2+SBdwcLksu4aetw9I3tpqcJb/YZq/TXykbGZQUbyWgfAXdLc3kiF3zUkCWBuwdoC2IJ9BZgFWB1ec64aGqzBNa5Xg2tcrwbRGlBjjnXxa/A+fM7wmnMNMDyKGGAAX7C9YHohcQAAsjX0LWluB7xgd5HOgBOHl7qP0TpOaMjfH97HaFRjPaeV2ZVpDGhQQ10wCk0cWc8FPYUQEga9OXM1plHcmOtUyabVZTMs34d+H9yH7qcTBnlt5lIgwYw+R425TGl8H2KPADYzkE5xpm7S9AW90eY4w2DTIn+PcpPtga6fNOOBrp8KGxfQjUtbkLFixtEhYn4i0hYAhvgBA70mjrLXdZzsdD2zbAGmo0J2zi8n97tkUuI65536uFUEGriKU5pBLBq5tOaeWMkC63I5K5cBA1c4U/OUTleAJvfGJjpZAS1nqPFlPS5SFQAgYDiDVIFjnJbThsYWHwcQcZ0F4E6sm2VtwdiOEMCWQS3Aa7/qs1W/6rNV3+rX6VXqWPwavI9BMINfAN8RtX5iML5XBkyvBLwwsc2PKBVgwxrYXUgZYFTDhoxTGbApA9hFmxoSGfQ1G2h2tdQGMXh03fIGzcjYZb1uASUMhjFNXrs2M+y6etnN2Sq3T8CVqwvduOtkSd6L5KY7l3vRon8KG2JtqS+oBN5cMk7rsuWGm+VT1vQFxBqydErGjKVIX/BA10+a8UDXT4VNHNANGZekRo7zLDltIaiB5bSFUzc1yvbOBzFTnLaAKk5kpyJSSmrjpAktnyY0CSJkhiWaiR7vMFUfDctmoqTaXF25+kRta5xYiBXLIbQ98vjXtlkhB7uRlYsjYIDcteEgfqnJlUwu63GRiwyTD5ruHm0/zTgSXkFJChLgAjyAwYU0AeB2AoFbMLcMbAFqAWZLq1+nLqs+S11WfZbqVX2m6lV9pupRfYZeJdWnRy5+Ld6PzyslEMzgF8CXmd6xdbLyBoDeGcTwzo+4VsH4scQGWnLk7kLKsLX0crWt7zC1Y/AAvTmTzK5Vs7uimtmgtq5e9shbZOwaSQwWkJTPNexidZ053s811Frdb9ek1+qimRHSGmzIUEwSleVdSFOa9Aogag6ZyqgeD1UCTynSbD0yvI30BTbDIkIOG27pERAGQw90/eQ7Huj6qbCJArquWDEj4oeZFMuRIeJ9Tt9S32BRkJ27d1RPzfixCcRW+bv8YnvlbyFifaQJbWUre0EEHixwO787pL8GDLHaXACFKG2uODLMh82NzMu1SRZs5jMABRz/3l0zy4oFemvJ5O4d1VPtHNZX7Rg8QINcNp3hKJgZMm6ekm52bGIkgwvtbRTAdYFbBrUArl2rT1Ndq09TXapPNVan6lcbS/493icBMICvDfRGAV5oeSXDCzBkSwdhKQNOIHDEzSY1lAwA7EJXzsyukcawrE5mowbZjTRRWpIYXHXVuUoYnKyuTUJl0+ry6VKMVnfPyF7G/Qgbb1uBxMpAvlBoU5rM8oZUxVUJzOkL7w7pr3+nRyYVG6dLp2+pb8YbCgmVLWZMa64TxIx5oOsnzXig66fCRgLdREeGZATRR92In1pXL/MgDI4L0ZJ16uaGhi4OzVhJ0xYK+VBxmdAYNOChwkeFMPrgqBDh/DD4gBULaXPZAOLS5rrixBKYQHLRN4YimrhlSlaqrqGYpgAkwHiGdAUXkwtWDEfALFXABgZMPfSOvIFhgDuDAC4YXJYmDCfm1gVsAWgZwHasMUV1rDFFFdWYpIpqTFIdakxMtfA+fA4DYgBgF/AF0wvQC2kDGN6rKa2BAS9fu6wrXyEAEUsZXux2pXqp+5hQIgMzu5zGAHB0ZmndbCzemir2yuqADUwTjZdWwmCV38hr2aXVZWOs0OriNAL3JJSYsJRqY+cJISnV/Y7NWXluvtOkLxye0Nn0C9zcULfhaRnVE7Uz9+zg98j3I0O+kGDT7YGunzTjga6fCpsooBtyPH9xYyhWTBuXECsGBkXEip1c1Fgdv6F5RrZwTQctW0iatpCk8jeq3crWSCRdzgwWWPcYZ/6QjUQnFja1P1SExjGJNjcfFixN6L6xWYH85LGahr7x7B21Q3WqMBVCk8tM7uu9R2iQC6DADXeu41/oHKVMgdMTwOBCe8vsLQNcG7hlYAuw2q7GeNWuxnj145rjjHVJzTHWJV+H9zP4ZeArQS8DXmZ5oeUFw8tpDVLOAH25S3bDjVrYqL3Y7UojfgzMLmt2j01vF6qtPntHbVNnjpMJmNMCkJSm7CSf04nUWl26lnnzfWJh01BDY5w5lvXkcpPmSoFJa451yamSpi9o+cI1HTKb7xuaZ9IXbDFjz9Q1YsbObi8Jx4zh9+dIfvFA10/a8UDXT4VNYqAr3c6uWDHJngTgCAygPCa0mT9cjUS2Y+00aQu2OB9uI2Ljx+qAzU1iQjs8obOhhzu5qHH4mJBC2p25uY7j3rTRTM7A/TjJAn6HMBMK89nXS87PggMq/Dg8obPaN7qHbjvjY1+AXNQ4R4EEsGEACHMaZIAds7gwmUGiAP0t5AlxABfgloEtwGvrmqP1urjmyESL38MgmIEvQG8U4IWsATpeSBrYtAZ2d1YQSQZg5GJ2ebOG+tiNnSeoLSVjDfkNWtT2je6hr2UceWPTxqcThjkNVbJShhMjYeAiibQRea5r2pmrS+U1ITkVtTTiWk5qSlttMchy+kIagyzXRrNBlk+aXA2NrvsSy6k0Qx9sWkKnTBExY5KV90DXTyHGA10/FTYMdNkAYmVPiA1MGyt2fEEzHSvGxg8Z54O0hSeLrimXtIW4h4mM8nm8w1QNEGJNaHNbquMLmoUdzpy0kFCbm0uNatJjXiN/lCULALmssV5RTRt4vlrcQB1f0CyrawyYeRz34ncJFkzKFVDja4uJW0zHvSxVmEo6XGhwywjgQqIAeQLArQ3YSlB7cc2R6qKal+t1Ya3h6sJaw1XzWkNSLbyPPwsgWIJfCXwBeiFrgKRhMDG8o0jOMOn8+dqsBikDrmccd8trGfXBLMGBjAEGNUSP6VKJoC74i3kXZa/pwFipzWksYdjY2JAwhPKgCyDHsdZXJ9XqcgKDTIIJ7k1JTGnPFk82sp7ltVzoTXhU+gKY+k1dwnGHfG9CzNjxBc1yixkTrLxsScNzwwNdP2nGA10/FTY2oBtr/hAu5zSxYiiJgGzBpoVDOxbc+OWRWRmXtsDuddmElsqEtorYLzbw8BGhLaA9Yb+8CwycPnufuxhib5k7e5SD9imSCewXzGeo9eUNy/b+Q7TxjOUKNk3uPRS2j98lAIGUKiAHl01mzOAywAV7awO4EtxKUNu01iDVtNYg1aTWgFQL75Pg1wZ6JeCVLG+v6jMNhpdNa8jhlVIGXNcARyiZQIWs1Oxi4wYZAwxqEiAdvaaDYU47fUt9MyqPi09cmdB8bYtNXC71wC7duby2ufBEGytxSmHJ9o4zpdma0tZGyG9csqokQDcu2xvpGmjFc3kH9o3uocsj0sSMyRSYOHOsB7p+chkPdP1U2EigazWiUe5q6IiQ2cB19RLHirFpiWPFbO7mFeWctsBNaFy3KR8kCN9PbEJztaD9uW2qbvlCHu/aophCbVJrCQwsq5ORnpDGmkP2Wc+IY17orNd1zBoKbcz8L0iqMD+QKlxLkWETSKZQVusnIYmCjcGV4BYSAwa2DGgb1+yrV6OapXr9Y81eiRa/hz9LAmAAX/x7JOi1MbxS0lBGcoYJP8xGkV17Qea/3XySMtjkOGB2wQRC34ljb9adc/kJazxP33pBBuwutzSnycgxW2RegWQ5UVpdbbDc1sV+fTtqyV2mNJScyI0415JzU1p5GWWxcYlKg0FTI2d7J4oZw2lTwMqHJFUiF9l20uSBrp8044GunwobF9B1giWZn8umj2fq2mPFFjUOxYoxC5gkVuwuwQDmG8zueojICB/EM7ma0KwmNEQySWczxTEZDxLOq8wRBCQy7FAknLFJYTY+SFmwSRYgPeHaVGQgowyCyz5gPLP9Hm9tlt2sSJArpQrDSYfbV2hwu1SfakgUJHvLcgQJbiWobVCzh7EuqNktcsnXS/ArQS/LHCTLy5KGLtWnGhpeGNaQzmCTMjDYxfUtN3Hy2palA2+UluksVq6z5qPvkIRhjdDrymtcRlUV0GgZeX+SG/FNTeyJMMvqWE1prqY0xOPJe1ShN+PciidryZPGjLFRVseM2fwDD1c183TZJJvi/uSBrp8044Hu93j++7//W919992qdevWqkqVKqpx48Zq9uzZxmu+++47dccdd6imTZuqatWqqe7du6utW7eGPuujjz5SY8aMUbVq1VLnn3++uvbaa9WJEydS/XtsQDd0PMhH34G7GYyJPvYmw8c3D2SPvPkhAiaQ2ZK3+g11xoq5sirTHAu60hbijgUfa59hc11mj72jeoZMaFa2BA+R9Q2yDxHb0WCKBqKcj3UtdalaW81RYitNZ7qtRWrvqJ5GYob8HUrGawUxudAwAgBcR1IFJCqMJi1uFMAFgyulCTZwawO1AK0/qtFFr3o1OqVa/F4Jghn82kCvlDYww+sCvNDujq6dTWa4mnS7AEvQoIPZdenPOaKKnft7R/W0tv0ZiSI4taBMVlQE22qtCynPSdLYqE8ttrTMSnN4M+c4dTo8obPeyNnMss9cOkU91j43eVVU+oJNXuXK+HbFjMFDgFMnMPNyM37u19UzxkIyymr5SXDiZKTBiDpg+XvzQNdPmvFA93s8U6dOVY0aNVL333+/+q//+i/1n//5n+pf/uVfjNfccccdqkqVKmr58uXqT3/6k7riiitU7dq11f79+/VrvvnmG9W+fXvVvn17tWHDBvXEE0+oJk2aqLKyslT/niigG3qI8NFg0vxcy7Egt6HJWLF1HScnjhVLavRgoJu2ZtOWUwmHuqzZDDWhSRMah+vv7G81exT04R9n1EEknIhfOrfCLlnA78/GdiGCiRMz2KxzDzG5HB82p0HWdIZUBZYqDKpxvQFyocMFyGWJQhzAZXBrA7V1q19qrB9W7xC55Ott4FeC3jjAywwvwG7X6tMMsIvsXUgZkMoAkxozuz/7p+x1Lo++2bmP6DzbqYUhz5EShhXVwvF5iKoqxzKUyM04rvWd/c0SFGlKi2hKg49gV1mpNec713rypD6CuNZGjhljGQpixrglzSavSp2ny7XOwe/NA10/+YwHut/T+eMf/6jOO+88tXPnTudrzpw5o+rUqaMWL16s/+zcuXOqefPm6vrrr9d/9thjj6nKlSurDz74wPj8SpUqqTfffDPxvwlA9+Dhf4+ujE2Snytixb6+rZ42MCGKSrahuWLFbI7mfPrkk6QtIHuUAYDLhHZgbEnYhMYP/wfcjmZmuYycygj9W5RuMfVxLkcvcVLGA2bFb1xNapRRxyZXwCYFvzeYzlDhK6UK0OKCxWUdrgvg2sAts7YS1AK01qnW1li1q7VJtOT7JAhm4MtsrwS9cYC3U/WrNbtbSskMLGVAhTBMamB2WbN7l5DoRBkuE9VbB6cXoevdFaGX8Bg86pp3+ggsOd9cax1KhnnA3NRJU9qBsSVOU5q8VxU6AlHeq2xpGvJeJU+euCUNkXEwFn59W71wzFiSPN2ISueDh//dA10/iccD3e/pjB8/Xg0ePDjyNVu2bFGVKlVSO3bsMP78n//5n1Xz5s31/7766qtVcXGx8ZrvvvtO1atXT/3yl79M/G+KBLq2rMqo/NxHqoUeHidvbKIfHh9N7qgfHpAtyEB21nX+b7IkyM6VJo/3hvYzwtg/mdkmG8Zue3jIjMoCmtAStdhJg44tTP+RaprhguTkq8UNDMkCH+e6Sj6Yjbc9+KUmV8oVwOQOIpDbq/pMzeKyDpc1uMzgQh8r2dsocMvAtWbV1jktG/i1gV7J8uLfKxleyBlYvwt2l41qg4RJjWUMUrOLjR1kOve3vi6SFWQJg8zXPXljE10RrFvTHiJjk9B7Rl3zuWzuUpvSYrK+sSk/fkPzzPVOpTbvDe1nNc2mKbUpr9On/yAvgSy02TF4gN6UfzS5o96UI0/X2JQ/Ui1Zni5tUDzQ9ZPPeKD7PZ1mzZqpefPmqZ/+9KeqTp06qlq1aqqsrEwdOHBAv2bVqlWqcuXK6ty5c8Z7f/e736nKlSurr7/+WimlVNeuXdXkyZNDP6Nnz55qwoQJif9NLqBrMINkZjKOv8GSPNcwNj8XjCAfBxYyVsylz02StnBvy+tDaQuIYLLF9rAj/bPZrd1NaI7jQGtBREzrUBSbG3mMKzcnzMKz3IR01S7JQlQ9Kv/uOCmDNyhIV7jOweSi3QxSBSQqwGzGRrOLal4eArjM4NrArQS2AKk1qrY0VvUqLVIt+X4Jfhn4ukAvGF4GvBfVvNwwrMGshmQGljIMdTC70OwubJS97rG5g4whSVRVKGFEShig95TmS2IHGTQlkesk2eCF2hsdBRJJa8pPLGyqa8qRLOK65m1a9HtbXp8ofaGQfgLX745lVjLr25mnGzTdIRkmlKf78RwnE++Brp8044Hu93SqVKmiatWqpbp37642btyonnrqKdWyZUv14x//WH377bdKKaV+9atfqZo1a4be+/TTT6tKlSqpjz76SCml1MUXX6x+8pOfhF5XVlamBg0a5Pw3nDhxQh05ckSvbdu2GUDXyZJInSeOAzmjMkF+LjOCiO15sduV6vnOEw2Dh4wVWyKczABN5e1ktgWxh5zMAbtlbULjfFGwuQUwoSVic6NC9J9raDJbFLckUxaYiY9LyuAH/u0t5hosvE2TCyZ3eABy+1WfrfW4yMSF4YzNZgC5UqbA2lsbwJXgVoLWalWa57Rc4JdBrwS8rOWVcgYGu2B3YVRD9i50u2B2IWMAsys1uwBNDJiwwYtz8DMzGEph4Dg9Psl4rmF0OUoerG5qUxobZ2G+FE1p8hRDJsTI9IXyTohZ2Gi+kRCzxBIzxsbZ5ztPVC92u1LHIDIjnzhPN5CdWIsjxO9MFkd4oOsnzXig+z2dH/zgB6pGjRrq008/1X+2fft2ValSJfXMM88opcof6P7yl79UlSpVCq2Dh//dDZq4USt4cOgwdrRpCYMHnMxfzm9hzc+FbIGPAqP0nfk8NH4a8dAAO8IPjaeLrtYPjai0BYTp67QFNqFFZFMW2oSWOmqJa35pcwIWnmtRkbKQpK75wR9fq+UmOL7FxgSVvteSXCGKyWWpArO4F9YaHglwJYMbBW4ZqFb9QVNjVTnvnxIt+T4b+HWBXmZ4owAvtLtgd1nKEMfsXk3RYzgO/znJdnAMHqf35FzWjyZ3DNVdn1la115C4MpmLVCkXlJTmjPz23HP+mx269j0hec7T1RPF11tbM5xCuXanOeq043anLPOmqVWb/Ubas3Tdd6zHq1h/s62XhremMNPYNmceKDrJ814oPs9nQYNGqiSkpLQn//whz9U//Zv/6aUKn/pgovRPfC3X7uLImxd8nhosM6TI3sIMCGWCuzIe0P7aXaEWUFu0EoTwp7LMeDSC8PHgJy2gGNA1iu60haStA3xQ8PaIZ8no5U4PJ9jlsTvTBvQFjQLHd8iZSGJZOGui67XUhPoE3/yj9mcXJmuYGNy2XQWJVWQMgUGuAC5DHBd4FYC2B+c1zDRigK+EvQy4GVZg2R4L6jZLVLKIFMZJLNrS2O49oLM74DNaUuaZ81pcRIGTmFg2c7xBc1CxjRdQiBj9VLq03NideU9Cy2A2JynaHGU6QtSl87Nfw+3nRGSW8GAWR5yK5TbcOOdZOO39R2mC0AOjuumY+J4g2Itjniuobs4IuKedeBvv/ZA10/i8UD3ezp9+vRxAt1f/epXSqmsGe3dd981XrNw4cKQGa1Tp07Ga7777jv1ox/9KCczGoCujR3UZQO2ogjOplydbdPSx4BBCLtL78Yd8lH5ufnWatoczLZsUWnseO2ykZHGDmvawiPVovVuCU1oqdjciIe8VZtLcWJSo5i0DhWbE/zO2HwGx/lPg4f6rPrZMggpV7AxucjGZcMZEhVYixsHcJm9tQFbCVzP+38a5LRcAFgCX2Z5owAva3dlMgNSGdrVGO9kdlnGgFKJWfUzvwuAp583zTr576NsVhtoiqu9tmrUZdyYpfZaAqe0rG7SzZ7TV2Ax0PJ3wGagxX1LGmg5KebOFnOtSTEAumlOothAG5enu7HzBH3fsvkKUG5jmAllcQRvTkRxhD6FsrDwHuj6STMe6H5P5557/l/23jXIqupc98dz8hdXNyAgdxvlEpBwaeimoYXGBppLN7RcwrVtGoGWS9vQahnUSNQNZRFxG41sCxMKtfRoaYyUBpHSDRstPTHGEktlx7AFRKJIRKMorYCYk/f/Yc5nrHe+c4x5W6uXxoy3an04ewPJ2esyn/GO5/k9d1AqlaKPP/5Y/c+wUd2+fTsRpfFiN910k/ozZ86coV69emnxYvv371f/s127diXGix36yy/M14Cu1xOtWia/m64oAptBHmZCk5bkUmY7wRwV1XNv/+X0gOHqlj/kFarHpS2Eonp29NCHcTK4tpWp89Br2zBvriZ1bmKJSsrC1qF1HhSczrKwsqs3fDb/3HQZxGTDJhcVvtyPKwNnpi2uTuBykSsFrl64dor5MgtfKXh1tgadnQHbXRlU475dVAjrNrvg7M5su0rVBSOchoMfSAywMHBkFagjks1qutUIpI4EeXUD7DtxqCOB9h1dGJNXAgchES8f4kMi4rAnrTsPuJixbCMR4/B0OfcbTXc8TOgL0OqKI0SuwNNuxzjI8v2yQtdOnLFC93s6X3zxBV1wwQU0cuRI2rZtGz322GPUu3dvGjFiBP3jH/9Qf+62226j1q1b09133027d++m2bNnGwsjhgwZQtu3b6fHH3+cevbsmbgwggvdE1+uTwsnHuxg1+BBCWZdf7wO1SObhr6Nh8U9ER8Wb08Z50meq2vbmPB1X3d8BkEcLe/4WIPfZhL1ytYNoEUJ4uDKFpYF2EzADwVGjLeeodaXi9zy1HKtJ5dvcuHH1REVggRuNHHrFa3/+391TPQKEr9BotckeHVkBvh25WZXenY5Z7e6zUpVF6zDjsGvi+twbmFARXCUQCYPpoVaeOR1uOa7EPXQFxZKU42ACUpu/raiv4c4wuuugw7p93xLh3TZ5KhDIsriiJPrOgT/dkm7CQuknWhe5ymOsELXTpyxQvd7PAcPHqSpU6dSfn4+nXvuuXTZZZfRRx995Pkz//jHP+jnP/85FRQUUOvWram0tJT+8Ic/+P6tI0eOqArg9u3bU319feIKYCl05cNC24jGr8G3eJP7kkkZZSsS9/ovKj83rE4TWLG4139fXKTPiQQAACAASURBVNvTyxKNWqcZ8LDIqO5XbrGkzcTkpxYhHL6Blw93HhzklAXQMW4WlgX4crllAeEzzskFXSFok8tFrmmLyze4UQSuSbj+r//VPtIrXPgGC17p4ZXbXZNvV252QWPgnF0eTtNZGK7q5tQE3+xaGO7o46cwIOBkOvRhQ+gJOJl8n/I6POR2I8n3wXRIj1Nb/uWaLqq2PK7tarPL/86ktlzH041iu4pzG6W28JyYsUXYTTQNabqDiRW6dpKMFbp2cjYQugcPb9BvRVgQzef3NFz/oSjieFNvX8sQ97lhOwifm6lOsyUDHSasmC7QgcR5aKBja/v0gx3g9Yg+t4xDaGiF0m2wftfJ2diEPNhNvkS5wXrAYFm4tnuTz5eL8NnU/EaakNdA49zGM3ByOV3BtMkNsyqEC1y/uDWK2LPaRXtFEMBS9JoEb5iVwbTZ5TQGcHZHpeppXGo5TchrUH7duec6YnfxeV6/rs7C8MCPrvDdcAT51QMPfr9p63z2DDccQdiquDcckfIFqL/e3k0bytQFaQ/PKwkM0gZhxloiSKurLUe+AFt43fsFb/Xxpt6qOCKK7QoNaR5ftbiNOnh4gxW6diKPFbp2cjZc6Bob0aTPLUIjGgId4LCiOlb2xvNrcF1yOdMgmqn2944+3trfRwYvpicKF/oQPRytpMOKnVzb0Y/o4VgxdlWrNiJZoC14bAtRQ2hb22u37803dPeUQ+iS5rrt+xb3vbpDUBau6ub35XLLgil8xukKuk1uXJEbS+BGFbYxhW+Y4I0jdoM2u+Ds6sJpJgsD/LrXnZ8OOsH7idYtuSU0EUhQIqGuw+WW0FQvG0Agyci+IL4TzYdmea08HDMm0Ign13bUYsY4Yk+iEZ8oXEiPDF6s6oA5A1xXB5xpIC2IGAOh+1LZDHpt3BR6c9JEVeUMDnJgkDaoIU2zgcd7ZYWunThjha6dnE2Y0EVyWQldN9gU1IjG/Z6yEY0jenaOnKsQVVGLIrIFXZftQoCuS6wSoOu+AE6QJzED6HrclLkuNOgr9Qhpr5OHEp03l+PEHh28SCHgcCDBYeSa7s7//aUvd5orcifkNajwWXFqoWo804lcucmNv8UNELgakXrWWfkZvYKEr0nwxtnu6ja7UuyiQa04tVCF0ybkNdDkvCtpmit2eU1wo0CO8SKJLQOW+r4XOq+uTzxFad3SfS9EyCkuhSTrZTfXXOALZvL6a4nZw28YP6xns+wmanHEjuHzaefIuVo0omxI+3JNl+D3CgFCCF0QY6zQtZPhWKFrJ2cjha62+pcjerh4wkPiweiNaCboOrYhUuhmaxsSVKOp24bggc63IUdqi1QrVKQHuillHlCjGZW2EKUNKkoIrfnGbr73SkfH4N5ciRO7tddKT/vZ8s5X0eLz/CixIMsCwmcog9Btcnn5gy5wFrTFNW1vo4nYlHjFFL2aDa9puyuDarxkQrfZ5aUSPJwW1cKAimB8R2Dr4bgxk1cXaX7ZutV8Y7dYXOkoLYGJ6Qum+vKQwzoOgGgHPFJb5LuV0oUzg26lpP0qW7dSv75omedWSld2E7kh7UF2WNcdSjgaUfyGWaFrJ85YoWsnZ6MTuoEsyrBtiFs6EHbtBw5lnEa0XPrb0Cxk4ufC3xbr2g9XtJptSCIvosFLHbnUww2hyRY0TseAF5GHbnTeXLw/CKCh/Qwosar8RoUSg2VBFkKgDEIixGBX4A1nMnQmRW5ygStFbdRXJoLXL3bx/z/eqCYDakCPoVRCFkpwC8P41Aqqym+k6jYrVUUwWtM4W1fn1eUhTXjXZZqft6WFhtLCyghcoZvEu260X7mWnjj2qxOrCwJ5uq+UX/qt5AyiNqQ9f/GscPuVW/YR+VbKwAC3QtdO3LFC107OBkL3wHvr/dd+bvUvgmieLWFI9a8UTwhy7Blf5euLRyPaZnYdjnYtGeRoicRyUPXpn6rGZ55YdoMcQVurr/9+P3399/sT0xa4xSRJuhwtaHJrBW5ukDeX48SWudvcmvbONneaK3In5DVQubvNBS9XWhZ4+ExHV9DZFYKsCtEEboiAbdVa/4opfIPsDCYrg7Qx6GgMMpzGxS7n65a7W11OYahpnw6mcdxYkFcXXF1524G2tIxoJIaQZhRbD74/Qbcd6ncsQ3LMn6rGh1ZhtwQ5hgdq0WoHmwlIGbzsAzdTe8ZX+QK1vkOJqQpYtjrid4xVAcNmcuC99Vbo2ok8VujaydlIoaseEFzookZTF+TQbAlN1b86z+dTRQtUuxYXupmgeaIwKDf2W+FjUEpAfiIGpUyX6ypPP70mI6yY730Koy1omtBMrGNpMcHmXcfN3dC7Ub0/Jm/u1PxGxcwtSy2l0tQSn2UB1b48fKbz5XJ8mD90FixyIwtck7ANe8UVvCFiF///4/gxk18X4TRUBUsLQ2lqCZWlliq27jRNMI17dW+5YJW69ZBcXWwK5ZV4pO8HDoIR6QvyIJgIMwahKyuxdTSSmCxwU4EKWOC8KTBTFngQIhFCF6122L4Heao95BjT9l0EahEelEIX75MVunbijBW6dnI2WqGrSfF7rsM5modV/56+ra2D5lldQJ829qVj9QPpSG0RHZpdSvuqyz0MSvhzcR2ebdg6L4oAKzROqxA2VtyHyDdWYa1CgbxQ0SqU0dWs5n1StAV+NcsQcKarWWxzcSBB2AY+amzd79F4c9GABpwYD6DJYgjOy9X5ck3hM+7JlZvcxAI3qbCNLXzjCN70Zpd7doPCaTq/rrQwoEiiKr9RiV2wdZd3dr430qsLzjRuPZ4ZXqPCmlxAIdGvs/b4mtJg7ZGNgZK+kKm1hwU1jXzpCO2O8sYD/nVOj4na7nj9+Zn9loWV3sBmAp8uZ4Hvqy6nQ7NL6UhtkYOEa+zrvE83dabTt7X1VwEzRKKymQRQMqzQtRNnrNC1k7MJEronji6m5vcvc/y5EFC8fEAIXVyHn1hdYIStI9wEoRv14YAtSCYPB2xBTA8HXhQBf67p4fDlmi7BDwdNT7x8ODSfvD1zVijepwRhGx0Zg79PwCfBXvLQoCUKnaTj5l6hqfmd5OLEUAyBit+L8mdpKQu68BksC/rgWXqTG2xViCdwW7U6O9IrqeA1WRl0m138/1uSGHg4TUdhuCh/lqoIRpEEx43xemDu1eVcXSD4HmLX4sDv/bG8WpWp6BL9icOaTOgmZUwrDzs/DEqebsBv2enb2qZ/ywyHdvClZXGEPLRv6O3HJCb5LcPtVNRD+86Rc1V40FR6g9+yU+vbhf+WvV3hvE/vX+Z9n6zQtZNgrNC1k7NRQvfddUbYuhJQMbYgpoYtyZ/cOrROlQ9ket0Hv1uS6z5ZFAF/buLrPrYF8TUKafi5YalyY0kEsGJBtAUdJ9QNDH6y7CI6Wlfo8VG/XlGpHuA4jMB7iNYnBGzgNzR5c3kADTgxSVmAZUEXPuO+XJ1dIXyTGy5wo4rajMRvmOAN2OxyGwMXu9Kvyy0MnMIA3BiCafDqTmPBNHh14WtHcBPtgfCyQ0ThQMi/J4fnldDRukL6ZNlFnqCT1v8ZRF9wbz105RGxqSQQuqzh0RfWTGDDwvdEFkd82zasRwYvVjYszgM3NdrFvZ3yHEiEn/rAu+us0LUTeazQtZOz0QpdE5dVBpxYy5bqib+xm6cnXvraIHTxYICvjQc4TEI3LMAhg2hBjWibAhrReEf8/ull/ge4qSjCEOAIe4Anwopl8gB3m58+bexLHy8dQEdqi+i9OSM9m6qXymYo7yEPoeH9AQ3j2u6ObQFVv9ybK2t+4c2VzFxOWeCWBVP4LGyTa7Qq5EDkRhe7wTYG02ZXF07jW11QGHgwjePG4NWdlHclTc1vVF7dRS6BYaW71UW6/3YXYcVDafCyv1Q2w3Pz8d6ckXSktog+XjrAufkwNQe24IHQyNMNOhAagrW8OIIfCPdPL/P8npka0jaFNKSFkReiBGvx/vBg7dahder3DEJXlzf424r+jp/6xm506tb2zu+ZaLPjwcEw7rEVunbijBW6dnI2oUKXPRggdLUBDk3L1tHLh6iAk2kDAhElk8r8wRAVySM3IGFIHl0jGueEvj1lHB2YMdpB8lw+xHkwBHFCTexJvgERSJ6MrmS591B3JYutO65kBW2Bb90PzhxFb08ZR29MnKzS5DKEdq8oiLjebUFr6OJscxd0uEpxc3k5hMmbG2ZZMIvcLhFErlngRhOrP4j4SiB6I252g9BjPJxmsjAEeXVRIgECw4IOznvY0MURVbgiB3MaG0MeSgOd5I2Jk+ntKePo4MxRvm0hpy+oa3FsC4MsPtgWZmjx8QhdeUOlY4IbONN/W9Gfjl4+hN6fP5wOzBitbqgkZ1o2pLUUKhEHd0mQ4YQM3Q0VgoNHLx+ib7PTBWsZIUN3cLdC106SsULXTs7GKHQ1BQTaJH9EJM/eygrPlTg8bSggyAZ7Mglk/dHBizyQdelpC2xEC2p+4hsQ6WnLYsgGD28jVkykyU/d2t5IW8B7xPmgsgkNRR4/c+t+eQitpn06hAZvLsohilMLfd5c4MR4MYRumxtqWciayI0qbuOL3rhiN6qFQW51O+WP9OHG4NUtTi2kEanFqhp4kmhLk6G0n/Vcpb4zsimN86Zfr6ikvZUVRvqC2hYKEaXFjIlDYTZDm57MAbzsAc2BYQ1puszBE4UL6dHBi7JafhOHCY6CD5k54O9RLFSiJMjIgg8rdO0kHCt07eRsuNCV7El5JR7InrytLZ1c25FOrC6g40296Vj9QDpaV+iDrP9+zHRPSlkHWc9mm1DS6t+9lRW0r7rc3IiWpCgiA6HLsUkePijHJmXwHnF2LqdiyCY0+A0RQmvokg6hzT033YLGSQuy6pd7cyUzN3ybm0zktpy4jSd6syF2TVtdydaFV1dXDQwCA29LQyitoUs6lAZfu2xK46l+ztQ9NLuUjtYV0rH6gXS8qTedWF3g2HxuaxvOm9Zg+ICvioLhS0QnCSuOMDSk7asup72VFRlVAWer5VFXfsMpMjxci/KbpO+R1mLivkdW6NqJM1bo2snZhAld3rR1+tUi50r82QInlcuQVToRhTahd6ZdQm9NnqDF8YTVZibth7+2e5NP6MrqX34VK6t/EbABNumjJYPos1V9HKGrwyZtbe8I3d19FTbJBFhPWhQRBYT/9StDnfdoRw/fewSs2BfX9qTPVvVRD+6DM0fRvupyZVvAVSzCNQ8OrFfXsPBOIzm+vLPDYUXdL0Jo41LLaUxqmbbqV3pzJU6MUxbi+3LjbHJbSuSaxa55sxvfr6vb6nbMK/Z5dXVcXWx1eSittkMT1Xdy3lMQS+AFhd0HddmgL+AG5I2Jk2lfdbmiL8T9vsQpVklUHKEpwFEYvhjfF47h+1PVeGMVsBS6+E37WZZ+06LUmUtc4luTJ6jDCFBwPqEr36NnC+jM7r4eoaua7KzQtZPBWKFrJ2cDobv/4C3mSll4Pw0PBV6baXooyKYtEBd0D4WW2H7c2it4+yGrfxFEC9x+bGyd3n7goRARhJ/xhkpXbepixc7s6u1cxWJDxbBi/Cr26OVD6IOaYuU5RGsdKn+BfuO0BdmEFhRCG5WqV9vcQXnzfNzcLvmjqFP+yBjeXL/ITbbJbWmBG1Pwmja7Gr9uFK9up/yR1CV/lI+rOyhvHhXm1dKI1GK11TWF0mRTGqcvAGHFK4H3jK9SnvYPaorp6OVDPFYfD2YMNyDbu6VvQF4ryWpVtu8GJKxYBYd33IAYDu/8lgpNj9zqE3RLZbJjZfuW6rEhi3wFOLLJznR4//rucwIP78pLrals3n/wFit07UQeK3Tt5GwCha4MOckSghjXfG9OmqhtEsI1n8nPFkforszAz2bqhk/sZ9NdxboP7WwJXXgOPUKXh2u451AXrqkrpPfnD1cPbdgWgBXbOrTOU/mroy2gCW2uy85F3S9HiplCaNKbq8OJxbYshG5y44rU/214ZSZ242x2TRYGHW5MenWDQmkcNTbTtS+gKU1HX+CVwFuH1nkwY/wW5P35w+loXaE+vMk97Ty8KYSuxFdlInTVdybI6hMzd7B/ehm9PWWc8rSjQTAXuQMIXV3ugNuxZNPjm5MmJrdjSaHLueBW6NpJMFbo2snZeIRu8zpH6JqahHTbwl+FlxDgWvzVsVN93fDZDG6YhG6UhPLOkXNVilxWm6qEcpTqXxmugdAVzMmkQTTPdkqTIg/i5351SydqvqE7fbaqD32y7CLFBQVWDCURu0rnKFQS4Pey8pfTFnRNaECKYZsrQ2i8BU1yc7OxzU2+yTUJ27BXhpvdDLa6Oq4ub0szhdJ0tcC1HZo89AVdJTBuQrYV1SohhQAnMGMfLhhGnyy7iD5b1Yeab+jucKcDeLpaSgm7BcnkO+M7HB6a5QtvRq0C5iQZXpUtf9daiiQTJ2DLf9dQac7tJcZyj18Ztu6mpscTN9OJ5nVW6NqJNVbo2snZ+ISuxFaxB4JH6GratoISyhxbxR8IHMUDoZsExcMfCGBOcqG7vlejT+g+rBG6eCCAuBCaIg9gTvoeCNkWuhG5oEH8XLTWocwD789TRcFYsaZuftpCtaAtlKQWhYbQTN5c1Pwm3ebmVuQmF7uZbHVlY5qOq6sLpQ3Lq6OS1CIalapX9IVqDX2hKQQz9lTRAvW9QSkB2rcCebpRudMtIHR9B3gTGzyEUsJ/13QHeMkG39C7UfnbIXSjsMH5Ad6ETITQlchEeYDnv2s6koypxY7bSzgdQ/6uWaFrJ85YoWsnZ2MSurrNR1CtrELxXH2hz//JNx/8ig9Cd8uApT7mpISrJxG6Jrg6HtaAqwdd8WXSImS64uNc0MSNaG6wRlsUsb2btyhCVpo29PPwcwG/f/mSafT8xbO0WDG8L2tcK8nKrk6T1kLXnwvawoS8Bg9tIWoILeNtbmKRm6m4TSJ6Y4rdmFvdsFAab0oDUxf0hfmufWGZixn7SQ9HVIFBrcOMPX/xLHr5kmmeUgJ8b3jNrKrM5sUR27tpiyNkgDNpQ5riTgdZshK2PQZZsh4etEQdEjMpwQkSurIE5173vYHQ5ZYseVPl8VFffWE4MlEKXc1NlRW6duKMFbp2cjZhQverd6rSQlfn/2RwdSl0OVzd5GVDi1CY0M3kii9KXaYptPFBTbF6YBsB+Fvb+wH4AenkpNW/nkY0HhbkQnd3X+fhtLW9ryiCP7Blax0Yx7tLZ9OO4fPVIWSz6zO8vc+VHqxYY1cvVkxW/oK2wG0LCKFJ24IphIayhDjb3O+GyM1A7Eba6jr/dwlDjXH7Qs82k5R9gTeljUkto/GpFYq+wDFjjV29mLHb+ziBtM1MTO0YPl8hrFBKINu35AHR873Z3s353jCh6ws7GRrSYjUJGmgyvoIVzfcGBSs4IH5QUxwass1WrbmOpRsmdB8OyR7wEhyf0EUJjsFHfeqtMd7sgRW6dhKOFbp2cjYQuu8cWGMObbhlEYEtQms7UvON3eh4U29f0AmJ/iChG6UuM2kv/FoXw3MHE7oPDqxX6fEgDM8HNcV0rH6gfjMV9YEdInSTVP+qIFqEzZTuCpaHasA4xsMa/NyHGT/3570d3/T1BqxYtevPHedW/pakFtGwvDplW+BCV9eEFhZCy75loaVFbpjYTW5hCAql6ZrSuNDtnz+TBuXNU/aFstRSGpdaTpNd+4IOM3b9+U3qOwSe7sOMp4tDIme1IsSptfxEuQmRJSuZHhADsInGA6LmJuRY/UD6oKY4FJv4yODFCsu3sd8KuqPPleo7lETocppM1FpzKXRBxtg/vcwTGDze1NsJDK7tGNr26BO6LGT7zoE1VujaiTxW6NrJ2UQSum46+ev/O9AJOmUgdCWGhwvdO/teqQoJEHrKBMMDf6EUugjU6ISuBKsfqS1yhG5jXzqxusDxGsa4glVC120QSip0ZfUvb0TzCd2gUA3S4wyTxLdSO0fOpaeLL6PHhiyihwYtUVevnJ97levPXXye48/lQldixWBbMFX+xrItxBa637bIjS52MxG6JvuCqRIYmDFeHsGFbk17J5C2vLMjrjhPF9afhwYtoceGLKKniy+jnSPnem5DOJYPtJKgEKdP6MqGNE0VcFyhyxsfZRFOmOXnq5s6O0K3sS8dqx+ovO38kGgSujgocqF7c4ZC97rzm1RIEIUed/a90id0ddjEREL32YK00A2gyVihayfOWKFrJ2fDha4v0S8xPDzRD6HrJvpPru1IzTd0p+NNvZ2NYV0hHZ5X4uFN6sDqDw1aQpuzKHSv6paG3euE7j1M6D46eJGvKnPP+CraW1mhtlKBoRoudHf0cISuLlQj6kyjwO9Dq3+PLNRW//rS4wKTxMs8cP3KAzUoinh0sFMUgU070Ejg5y7rrOfnjkktU0IX/lxd5a+kLXDbQna8ud8VkZtFsWvw6kr7gqQvyEpgYMYgdMeklml5uss6p3m6QPRhc4jvD4ojeJCTs1oVf1pi+cJoJYfnab87cRFj8Lb7vjsyxPlCPyfEyYVuQIgTtyF7KytU4yOvNsf359cXLaN7DEIXpStxftvChO5mF/+mK8LhfPDD80roaF0hfbLsIkfo3tDd4YODjAGhK8gYWqHr+qit0LUTZ6zQtZOzMQpdHVg9AF0lhe6HC4bR4XkloQ1CJqGLVrQkDwMIXTQI6YTuQ4OWaIWu7IT/cMEw+njpAPpsVR9H6N7SyZ8eh9A1pcczeFgHCl2JSTLxQA2tdQjUgIiBIBqE7gOsKEIKXRRFmPi5aEODbcGEFZO2haRC97tnWcjQwpBQ6HL7QhBmTLakSZ6uLI6A0EVxBHit24pqVSCNN6T5hG5QzSz40zLs1MLfHS2t5MmOflrJLZ3oxHU96LNVfejjpQMUlu/AjNG0t7JC+dul0EV1tk7oZuu3LY7Q5azjw/NKFAJOK3QNCLigIhwrdO3EGSt07eRsQoWuWy2bhNFqErpo3eJCF4KqJYQufxggTBNH6Pp4oBva+B8GOqGbha1U6MOaeahVwxMXum7D01e3dKITqwt81b8gYnBbyVNFC1SYRjaioSjiCkNRRFlqqRK6g/LmaYXueXkl1DGvOFLlb/ZDaP/EQjfEviAxYx3zium8vBIjTxdCtyy1VFsccQUrjpANaQhzPlXkvR5Hsl9WAZ9YXeB8d2Sj4JMdvY2C3APakt+dw/NCsXxnNrZWQlfHn44idL+t3zYIXYQFg4RuHNaxtqrZCl07CcYKXTs5m6hCVz0MYpYRvDPtEtpbWaGE7q7SObRj+HyFr8rmwwDJ5DgPg21FtZ4qUyTHURaRFfB9htevvoc18xkaq0zdeuYzG1t76pl5mQfQb9w/jUMIOKDwF4JrfE135//W9S5xYXY7By1mKorgtb9R+LlBQjctcsOE7ndN5CawLwihy7e6UYVuEE+X1wHz4ogZbVfR7HYOeaHeJS9c0/0qxW2Fzx0cai6m4AMFwoqXEvCa2TMbW3trZjXV2Tp/O747Gdt+slC0gtIIEEt4dfa2otrvxCF+69A62jF8Pu0qnaOE7t7KCnpn2iWJSj2+fmWoFbp2sjZW6NrJ2UQRuqr+N+LWg1/vcaH7+zHTtUKXX+9tyOB6L4rQldd7uHqF0OUs0NDrPYOPTSt0WaAmoypTlhz3Cd3dfX1CV1fPjDIPoN/gnwZxAUJXV/0Lobv4vLTQ5Y1oo1L1Sujy2l+T0NUF0UxYscz8ud+2yA0Su/F8ukGYsaBAmiyOgNAdlar3NKRB6C4+zy90eRUwhC7IC/CBAmGlSgk0NbM+obu7r1nofnpNRtXZpiCnUeiG5A8gdCWD+oVRP1bWn1zasjYYbFlc6KKmWQpd2LKi3ladfr3UCl07WRkrdO3kbBIJ3Qg+NgQ29lWX097KCnp17FSt0A0KbCQVunECG2FC1xPYcJPJp/89PzCZ7BO6DJGUidDVIZI8G/fdfZ33h9cz3y3qmVmZB4gY2LbvHDmXnhleQ1uH1tFDrtAF7D6s+lc2og3Jq1FCF0URELqyKELPz/W3oVmhq29J0/F0ZXEEyAsXtqlUQndIXo2vIS2sChilK1vc79DWoXX0zPAa2jlyrtoaItnvKSXgNbN3i5rZHT0cNJ/YGOrQfBkLXaD5hNA1EWWU0HWJMjxom1ToZiNoG5Q/QFBQCt1Xx06lvZUVqqYZQds4+QMrdO1ka6zQtZOz0Qpdt3UrUOjKZPI/mdB9WCN0Xym/VCt04yJ4goTul6fuzLrQVe9PDKEL9Bv8078fM12hxSB0N7tCd0PvxsRCF/5cXSOaLIrIjj/3u2pbyNy+EJWni+KIoIa0pEIXNdqbmdAFYgxbQyT7PaUEEYUuF1LZErpaBnVEoWtCJ0qhi/psLnQf/mcWupIoYxK6rL3OCl07ccYKXTs5m1hCNwGCJxOhy1mTuRS6b08Zp2pMk0DVldA1QO9bTOju6u0Xunc5QlfXWmcSuk8ULqQHB9bT5gFL6S6D0F3UMS10q5nQLU0tCRS6QY1oVuhmV+hK8oJJ6JamliihW82E7qKOeqF7lyt0HxxYT08ULowmdN32rVO3tndqZqXQ3dU7t0L3/cv8QjdmGc7BmaPo7Snjci50TYzwpEI3DjrRCl072RordO3kbP4VhS6HqkPovjh6ZnaE7msl32mhyx/UIGLgvQkSung/moTQndnWEboT8hqoXAhdztDNutD9p7QtJLUvZF/oAjEGoVueWk4T8hqous1KmtnWK3Sbul2lhFWY0H117FSV7Offn++00JX15gmF7oujZyqh2xJlOFbo2vk+jRW6dnI2uRa63AcaR+gGtQc1dm15ofv51Rc6Qpf3wedI6PpqTD9aGk3obnKE7sl1HXxCF+g3vDcvlc2g50bMiyR0l7tlETXt9UJXVxaRPaH7z+zPTSp0Uy0mdItTC7VCt6a9I3SXd44mdJ8bMY9eKpuhxBQQVlLonlzXwRG6myIK5xxoJQAAIABJREFU3Y+Wauuzcyp013Wg5hu7+Q6KLSF0Tb9vUVofdUIX/mkrdO1818YKXTs5m38VoXt7nyuNQve5Ef+EQvfwPL3Q3d4ta0L31xcts0LXCl2t0IWgyorQ3d5NL3QPz/unE7poFtQJ3dv7XGmFrh077lihaydnY4WuFbpW6Fqha4WuFbpW6NrJ5Vihaydn868idK11wVoXvjuvf36ha60L1rpgha6dTMYKXTs5GxtGs2E0G0b7rgtdG0azYTQbRrPz/RordO3kbP4Vha7Fi1m82HdL5Fq8mMWLWaFr519rrNC1k7OxhRG2MMIWRnw/ha4tjLCFEbYwws53dazQtZOzsRXAtgLYVgB/20LXVgDbCuDvmNC1FcB2Wnis0LWTs0kkdH/XSQndMxtbK6HbfEN3JXQ/XDCM3pszUgWesDWUQvehQUs8QndDFoSufBhkInQ/XDAsLXRv6J4Wuhtbp4Xu7zrRN88W0JkXB+iF7iersiJ0TzSv8wjd5kOz6Kt3qujUG6Pp9KtFjtB9toC+2dreeX82u0J3fTv66qbO9MW1PenTxr7010WD6YOaYjowYzS9PWUc7RlfRS9fMo12lc6hZ4bX0JPDFih/4cZ+K+j2PlfS2gtX0poC571o7OoI3QUdrqLZ7ZpoWpuVNDnvShqfWkGjUvU0IrWYCvNqldDt1WYq9WwzSQnd8/JKPEI3r3VfjdDtYoVuqNDt4hO6ea37eoTueXklSuj2bDOJerWZqoRuYV4tjUgtplGpehqfWkGTXaE7u10TLejgvMeNXZ3v05qCJlrr0ks29luhfO5PDltAzwyvoV2lc+jlS6bRnvFV9PaUcXRgxmj6oKaY/rpoMH3a2Je+uLanI3TXt3OE1GZXSG1t73x3dvel068WOUL3nSpqPjTLI3RPNK/LjtD9ZJVW6J55cYDz3fldp7TQ3dg6LXRv6K6E7ocLhmUkdJP8tgUJ3Q1C6D40aIlW6L42booKCr43ZyR9uGCYErrNN3RXQvfMxtZpofu7Tlbo2mmRsULXTs4mitBVG0P+MOBC99/zPUIXDwMpdCGmpNDdPGAp3dNvRcYPgyhC955+K3xCd8fw+Urovl5RSX+qGk8HZoz2CF3PwwBClz8MwoTuZ6vpRPO6xEK3+eTtjtB13x+t0H2hn0/ontnY2hG6t3TyCN0jtUV0YMZo+vPUsbRnfBW9Un4p7S6dTTuGz1dC974fXUEb3QOIFLr1ndJCd0bbVUrolqWWKqE7KG9eqNBte84Aymvdl1Jn91ZC12RfSAvdf1b7QnLbghS60rbQ+v/rSamze1Ne677U9pwBoUJ3UN48JXTLUkuV0J3RdpUSuvWd/EL3Dlfo3vejK5TQ3TF8Pu0unU2vlF9Ke8ZX0Z+njqUDM0bTkdoir9C9pROdWt/O+e5IoftCP7PQFd+dREIX350oQjfCb9vheSV0YMZo+lPVeHq9olIJ3R3D5/uEbjZ+20xC1/TbJoUutu1S6Mb5bZMbdyt07WQyVujaydlEFbpJHwZI9kPocjH1XXgYPFXkPKifv3gW/X7MdHq9opL2VlbQgRmjzQ+DkK3HqbfG0Ff7JjlC98jCjISu8WF9ZGFa6L41xit0n+zobKW2uO/PbW0da8nqAvpsVR/6aMkgOlJbRAdnjqI/Tx1Lr1dUKqH7bMk8eqpoAT0yeDE98KMr1Puy7sKV9LOeq+ja7k20sutVdEWnq2hhx6to7rkOeaEqv5Em5DVQWWoplaaW0LC8OhqUN4/6589UPt0e+eOoa34ZnZdXQh3zimML3eg+3e+i2A0XuZn4c3VCt2NeMZ2XV0Jd88uoR/44urBNJfXJv5Quyp9Fg/Lm0bC8OipNLaGy1FKakNdAVfmNNLPtKpp7bhMt7Oi8xyu7Olagn7nfI3yHHvjRFfTI4MX0VNECerZknhK6r1dU0p+njqWDM0fRkdoi+mjJIOdqfHWB8925ra3z3dlytvMZfbKjV+i+NUYJ3Rb97hye5/y2vTUm1m0VP8QfmDGa9lZW0OsVlfT7MdPp+Ytn0Y7h8+mpogVZP8TH/W17bMgizyEEQhdEjKSHeCt07WRrrNC1k7MJFbp8YxggdE3Xezqh+2zJPJ/QbenrPeljiyN04/rYlNBt6Yf1oVn05YFqR+i+VuII3f+8wCt07zmbTt/Wlk6u7UgnVhfQ8abedKx+IH24YBi9O+ti2lddTm9MnEx/LK+m5y+epa5eHx28yCN0b+3lvCc/6eEgxq7o5JAXpNAdk1qmhO6QvBqt0JXkBQhd2Be0QjfEvvAvIXTd/ztIocv9uRC6krgghe6QvBoldMeklvmE7iJX6DZ1c1L+N/dcRbf28grdRwenrT/PXzyL/lheTW9MnEz7qsvp3VkX04cLhtGx+oF0vKk3nVhd4Nh+bmvr+Nu50P3PCxyh+1oJnXprDH15oDon3x2t0I2QP4gjdLOVP4gidKUt68lh6UNIkNDV2rKChO47VVbo2sl4rNC1k7MxCt2ji/1X4zF8bAhsINkPH2hUoZuNwEYUBI8UunvGV9HeygraP70sMYInTOgmgd6btlIeofviAEfo/q4TffObts5B5J6z6fSGNnRyXQc6cV0Pn9B9Z9ol9MbEyfTq2Kn0wqgfq2YnBAU39V9Od/2wwSd0l7mlEfPPdQJpU/MbaVLelTQmtYxGpeq1pRE98sdR9/xyj9DVBdKSCN3vvn0hhm0hA6ELfy4Xut3zyz1CF0G04tRCGpWqpzGpZTQp70qamt9Is9qtovmu0F3W2S907/phA23qv1x9f9As+MKoH9OrY6fSGxMn0zvTLvEL3et60Ml1HZzbkHvOdoTUb9o6n9X/vMARUlzoZuE2BGUrkYRuAnTi/ulltLeygvaMr9IK3TB0YhKhGydoK4XunvFViojhC9pGzB9wa8mJo4ut0LWTeKzQtZOz4UL3RPM6J7BhELpxETxAWCHwxK/Hnxy2oEWg6mHtQRuZ0H1k8GIVptldOpteKptBe8ZX0VuTJ9D+6WV0aHYpHaktomP1Ax2hu7rAEbq3taWv7xJCd3s3R+i+PJhOvTGaTr5dofUZ8nanU99sDnxYn/l/D9KpbzbTyTObjIGaLw9UOz7D10vp6/870GHpcqG7yU2Or+tAzTd0p8+vvpA+XjqAjtYV0qHZpbR/ehm9OWkivTZuCr04eqZCjOEQcm//5XT3DxtofS8HMXbd+c57sbyzE1aqad9Es9s1UbUbSCt3yQvFqYVUmFdLF+XPUj5dTl4IC6QlsS98d8VuFkRuiG0hLIhW0GYC9WozlX6YP135cyF0y1PLabLL0J3drolq2jvEheWdHXF13fmOqFrfy0GL3dt/uRJTQIu9OHomvTZuCr05aaL67hytK6SPlw5wWgVv6O4I3X/Pd1rRmNA9s6u3Qyx5vZRO/vfYtNDVBDn59ybou4PvDdBiOn/7ybcrnPzBy4Mdobu9m1fo3nWOY/u5qTOdWF1Anzb2pWP1A+lIbZH67rw1eQLtGV9FL5XNoN2ls1WY85HBi5XQ3RjCCA9qfYwrdHkZDhe68E+DiBGLEc6IMlqh+/mNdKJ5nRW6dmKNFbp2cjaRhK7rAU0CVZdC9/mLZ9FzIxwfqBS6d7koq1t7OUJ3TYEjVjMRuj/TCN173Y2UTui+Nm4KvTV5Ar0z7RI6NLuUPqgpdoRuQz86sbqAvlzTJS10N59N3zzY2gnUbO/mIJKY0DUhkpIIXRP0/suDM/xCd1sXB9v0QGs68ytH6J66tb0jdK+5wNm4Xz5EbaXwsH5x9ExFXsB7gwc1HtLXu1uo5Z2dsFJtB6/QHZdaTmWppVSSWkTD8uroR/lzlH2hZ5tJ1CN/nEfo6uwL2RO63wWxG9OykAE/l9sWuNDtkT+OeraZRH3yL1VBtGF5dVSSWkRlqaU0Tgjd2g5NVN/JeY+v6e60ouE7hIMixBSICy+Onuk5JL43ZyQdvXwIfbLsIvr8mguo+YbudOrW9o7Q/ZUrpH7bjr7Z1sUvdN3vjY5BnVTo6tB8HqG7u68jdLe2d77Tm9NC98s1XRyh29CPjtUPpA9qiunQ7FJ6Z9ol9NbkCfTauClGoXtv/+U+ofuzDIXu9ec30RpX6N7ayyFhYNPOhe5TRQvouRGOrSQjocvKcDweait07WQwVujaydlA6O4/eEta6GJjyIWurMn8TVv65kFvH7yufQsIKwSeTEL33ghCt6lbMqGLbdTtTOgiTAPgPR7W2Erh+vWDmmL6aMkg+rShH31xbU+n3Wl9O/r6Fymv0N3WxRG6eGDHELqxHtiu0P3io6XRH9i/SNGp9e2o+cZu9MW1PelvK/rTXxcN9iCS4DNEWPCJwoX0yODFKkxzex8nkPbTAuf9aHQDaQs6OD7daW1WUlV+I41PraAxqWU0IrVYBdJgX4DQDWtIC8OMZcermwuxG/SfnSyEZsKKBTWicaHL/bkjUotpTGoZjU+toKr8RprWZiXNPdchLlzhEheu7e5sD9e5aDEEnh4ZvJieKFyowk7wt3M0318XDaa/rehPX1zbk5pv7Kb/3gQdED9aGih0Yx0QDUJXHRB393V+1zTfmy/XdHGIJQ396KMlg+iDmmJl++G3IbtK56jCFYQ5IXRv73OluhVJInQ5I9wkdO8NEbqvV1Qq9Juute7kug5poftga+c3XtSb+4QuNu7N62j/wVus0LUTeazQtZOzCRO63AP69cuDHaG7vVta6G5yNh86oQtWK5L9CDxB6EJMRRG6/IEQJnSv6mYWurh6fcDFI0mh++rYqfTmpIkqUPP+/OH00ZJB2gd2pM3U4XnpB7YrdJNewTafvN3XXhfnCpZvpj5aMkjVmHIWKAJpwL9h2473ZU2B84Be2dXxcC50fboz2jo+3Ql5DVTuVgFzny4vjpANabHsC7G9ut+W2E0gcmN6c4NsC6ZGtIvyZynbQmlqCZWnltOEvAaamt9IM9o6/tyFrj93ZVfne7SmoEkJKmwNga9CEE0yqPG90d6ERLD8yNYt7m1PZPmB0P1oqWP5iXATojsg4nuDIOebkybSq2On+oTuw4OWKKGL0hWd0OUHeJPQ5Qf4KEIXhxAudP9YXq2IGGAca4XuXec41hII3e3dHKH78mB/WNAKXTsZjBW6dnI2JqGrHghC6J7Z1VsrdE/d2t4Rum77FkoJgLBCsv+FUT+mnSPn0raiWiV072MPhDtcQQVuayZC9zr2QFjfq1HVl27qv1xxQJ8oXEjbimpp58i5nkANEEnYTGmvYDe5Qpd5DRGq4V7DLz5a6nkgZJIel2QMY3qckTGCQjWHZpfSn6eOpTcnTVQ1pjtHzqWnipywIB7Wd/Z1rl7hL2xyfbqLOjo+3VntVlG1piENxRH982fG4unqQmktY2HIpuiN8p+R3LKgC6HF5ef+KH+Osi3wRrRqtxGtpr0TRFvuBtHgc/+56wPFIfGxIU6QE9+bV8ovpTcnTaQ/Tx2rvO3GEGcYlg9ClwWdMiYuaH7XTv73WBXi9HjbH2itvO3S8sNvQvC7hiAn/10Dh3qT+7u2oXejErpr3OxBpkJ37YUr6dZeDtsYB/j73Jsq+bsGIgZ+11SZh9ta9+WaLk5rnUbontnV2y90Nb9rVujaiTNW6NrJ2fiE7omb9Q+E10u9QpfXzN4lamZZKcHBmaMUwkr3QHh08CK670dX0K8vWqaE7vpeybxsK7v6a4D55kMK3Yc0QlduPg7PK/F5DU2hGm16XLP5yJrQzQL4HjXNb02eQH8sr1abqW1FtfR44eUqUHOX+7AOqwI2FUdI+oK0L2RlqxtoYWhpsRtf5OotC5ltc8OwYoPy5lFxaqGvKCKs+ndD70a664cNKsj5eOHltK2oVt2E/LG8mt6aPEHVy2alaKUFhK7upkpLK5EhTuZtR1kEv6mSv2sPaYQuv6m6LguWrLUXrqT1vRqV0P31RcvoPhf7ZjrA76suV4xjlHl46pnvEvXMXOiKsKASuidutkLXTuyxQtdOzsYjdMOu+F4Z6gjdHT28QldTM4tSgrArPvBaTUL3pwWZC12gkfCwvsetMH0oxMvGQzVIj/swSToeaEg6OWmV6Zen7vQ/tN+/zDmMvF1h9lFvSvuom2/sRp9ffaEvMAjWMTBJzwyvoa1D6+ghQxUwiiPqDcUR4OnCvsDrgEFf6JQ/UktfCAqlxdnqJt/sRhG+cf+dgE1ugm2uDKFJ2gKwYpy2AKxYSWqRkZ+7sKPznqIoQlf9+5Br+XlmeI3C8nFGKw86fX71hU7QCf7PTWb/58m3KxwRhSAaOxx+eerOzKqzA2gyRv40w/IpWgkLcQZlD/C9uaffCnVIBKIvU6H70wKz0AXfOMyShTIPXT2zR+ju6OEIXbf+N8iSZYWunThjha6dnE2g0JWp/leGOqGNHT08NbNK6Lo1s2jf4qxWU2gD1+ObXTF1Z19H6K5LIHR1GB4udH8uhC42UzoMD3iTwCRpwfe84clQZaoDq2dL6Kr3iAtd3dbdYC/hPmqQMXiVKdLj92ka0mRxhOTpSsyYrAMGfaFT/kgPfUEXSku61c1ss5vNV8AmN8NtrgyhtU8NpU75Iz20BYkVG5FarLBiOn4uL4qQjWi4GkfrFqqzkej3+T911+K6baEQuvJaPBOhG1qEw6uzRaOgLFrhWD7wwXXYxAcH1nuE7s8DhG5cmgyE7jpX6N7Z1zmEbB6wVNlKwkK2Hy4YplrreD3z13ef461n3tHDCQtKocvDglbo2kkwVujaydlA6B54d10ohuf0q0WO0MVDwRW6pofChwuGhWJ4HhvigNW50P25aEf7SQ/noRBV6Da5Qlc+FOAzlA+FoAahoIfCmY2tAx8KnqpMFqzhCfKv/34/ff33+7UPbR38Xr5HsqrZdBg5s7G19jAi7SV/LK+ml8pmqOIIvD8IC3Kerg4zBvrCuNRyD30haigtrBJYJ3aTbXZzIXhDBG7IJtcrcsMrf8NCaLINbVxquaIt6LBinJ+LsNODA+vpsSHpooiXymZ4GtFk9W/U74u2WlZDKgkSuX//xyPq++T7vrAAJ74vQYd30/eFH96DGh/l4R2/aT/L0m/azYbfNLw/YdhEY2udfI+eLaAzu/uqw3sQTebAu+us0LUTeazQtZOzCRO6PNXv2X5EqJnl2w+wWoGwgtA1bT8gdFt6+4Frvh3D59Ou0jn0+zHT6dWxU2lvZUXyaz742eSGCqikbGyoIHRNV7Ex3yO+df/9mOm0c+RcxdN9iPF0UegBzFhDFy9mDPSF8akVHvpCWCgtDDUW28IQabPbkmJX/58XaZMbYlkIQooFhdBkScT41ApFW+BYsYYuXqzYBsbPfYjxc3eOnKtsC9gWBt6ASKuP5gbEY/VhIirjGxB+S4UbEJ47SGDH2ltZQa+OnUq/HzOddpXOoR3D53vsWC19SwWha7qlgtBF4yMvwkn6HvmKcKzQtZNwrNC1k7PhQtdTlalJ9Sf1swV1wre0ny1qcAMPbmyo3po8ITChHIjigecQ4RoJv08gdI1VwKwhjYdrTA1pphQ5f4/4VazEjMFD/bOezlZ3ZVc/fWGaoC+MSC2m4tRCbShN59XVFUhkQ+wGC95siF7zv23e5MYTubqCCJ03NyiEhm3uJBZC47SFlV2dbe7Peq5S3xkdVgxWn9crKmlvZYUKbwZSSkQjmrb6F/7chNW/JqELT7sKb3JPexAy0UCSQYDzpbIZ6mCY7YCtZOjGyR3wanP+HiXOHRioGHiPrNC1E2es0LWTszEKXU0nfGBC2RW6qJmVCWWUEsAD+mzJvBZPKOtQPJw5yVE8Txdf5rmKfXPSRB9cXRuuCWgR8qXI3Yd30hS5rgrYyAUFAP+37YwAfM4FPThzFL09ZZwHA/fcCO9VrA4zxukLCzpcRbPbOVvdyXlXekJpJalFxlCarikteKur9+tmR+zGFb3h/1ZckSt9uVG9uabKXxlCAzt3ct6VNKPtKprdztnmctpCEFbsyWFOeJNjq96eMs7DzwV3WluwAu40L1iRISdD9W9iSgk7FHJKSWDbowxvihKcNydN9Fh9ni6+zIdM5GzwuMjEIKEbhSTzbMk85aFGmYePJMPrmTe0CSXJeISuOIxYoWsnzlihaydnEyp0+YPBxJzkNbM3dqPPr7lA2771xsTJ9Er5pfTi6JlK6AKuzoVuUrg6/udRWoRkXSZ/MLxSfqmC3++fXuY8GOoK6ZNlFzl1mTd0d676dLikIC6oELpRfIdhVcA6i4kqjtjRw1scEcDT5ZixPeOr6KWyGSo0iMPIlgFL1fsj6QtBoTSgxuDVRSWw9OoGbXWT+XWDBW900Rv/pfvP0gncuL7coG2u9Oai8pc3oQEpZgqh6WgLd/+wQW0LcSjcVTqHXiqboa7EgRUL5OfyoogdPbRFEZ4r8QTVv9yf6xO6EbnTwPGdXNuRmm/oTsebejsH97pCOjyvRAXR8HvGD+5xa83DDu789yyoBIezwbcOrVO/Zy+Onun5PZOtdZ9fc4FTgiPrmQ1scHVwt0LXToZjha6dnI1W6HJ8FRe6GbQIYQMCoYsNSDbrMvFgkJ42sEDhN7yzr3MVu9l9eCNco9uAvDPtEsUF/XjpAPpsVR/nAX5Lp5w+wI0NaUEPcANP9+TajtR8YzffAxwBG24xgZcahxHQF2AtwQFkWWdnI1jT3htKQyUw9+oilMa9ul3zyzxeXRNuLNDCELbZzZHYDRe5wZvcKJYFyc09L6+EuuaXeby5uiY0jhRDCK2mvcPOXdY5LahwNc5pCw8PWqK8n/xKHN8T34Hwxm7mA6HLz41zIExU/ZvJgfCWTnTiuh702ao+9PHSAYo7zb8n8obqsSGL6KFBS2izK3Tv7Hul8rWDQZ1J5iBOrflzI9JCFzdUmbY9+m6oGBvcCl07ccYKXTs5GyV031vvezh4PG2yF357N28v/F3nqGtx1Mweqx9IH9QUq/YtnacNCCsUE2zst4Lu6ONcj691A2lc6EZ9OFzVLZ0c5ynlDb0dz+E9brjmwYH19OjgRT5PG99UoenpWP1AZ1MlK01xJbu1vYNMCrqSZUI3kytZn/dQbN6D6pqDyj34+4QDCX+Ao8EO7w9CaY1d06G0+S5Tlzel8a2u9OqGWRhkY1rUzW5cwZtE/Ib9O6ECN+Iml1MWwiwL0pvLt7njUstpstuENtOt/EUIrbFrOoS21g06oXGLHwghoKSXPbCEIKBW1iegmJc9KxafoOpfw2+ZpzK7sS8dqx+omgT5zYfMHDw6eJH6LbvH/S3bICgyIJbE/S2D0L3ZzRz83P0t28h+y4B+M2UODs0upQ9qip3fMlbPfGp9u/Dfsrcr9JkD99B+4L31VujaiTxW6NrJ2QQJXZlSVluQgIfDVzd1Dnw4IKUMoWt6OHChm8nD4brz4z0cOI4HlabvzrqYPqgpdsgLDf1ib0F8TUJZDtlo0+Sy3EODTTqxuoA+W9VHoeCATdpbWaHoC7tK56iQzcPupuoed+t+a6+VykPNQ2m6pjQQGHReXXB1eVsatzDIxjTUA8fb7CYTvIlfBoEbZ5PLa355A5rEifEWNL7N1Xlzx6dWqG0umtBkCG1NQZOy+dzjEkpQl/3M8BpFJ3lt3BTaW1nhwfAdqx/o3HqsLtBjxXQlBFmkk5hCm9qmx4i3U5829KOPlgyiD2qK6d1ZF6vKbB0uMcqhPZPfMhza+W+Z7tDOqRivjp0aeGj/6qbOwYd2djulfZ+s0LWTYKzQtZOz0QpdyZ08UO3ltCa87oOAevmSaQrH81TRgm/9ug++NtkkpPO1Ra4C5kllDTYpTkNaIE83DITPCRkB1aacvsCrTdH4xENpukrga7o7/7dHUxr36vJa4NLUEi1Xl1sYTGIXFgaTjSEjwZup8DX9e7EErt6uIMNnOpELy4KJm6ur+53PmtAauzrfF13lrwyhPX/xLG1Vduj3I6BB0FSsEpWfa2xE02H4JEEmQvWvLm+ga3p8eNCSrNiwTGixKDYs3E7tKp2juOA4kCSyYXHO8YFqIxfcCl07ccYKXTs5Gyl0Pf5PAViPEuD46pZO1HxDd/psVR/6ZNlF9OGCYR7/J9q3gK/CtfjDQuje3udKJXRlgCPs4RAW4JBJ5YdZUhnd8HiQI6kcC8kj+aARQfhRiyN89gX4qQ/NMmPGNBsr0BfkxkrXZMcJGagEvqOPvynN5NWdkNeg2tJKUotoWF6d4upK3Jhk64aF06KK3ViCN0z4hv09k8CNIHLDwmc6Zi7HiYGbOyyvjkpSixQ3F95ckBa4N1c2oeHWg4fQthXVGpu25I0Hpy14bjxMWDEcBIXvM+pB0FgUYShWCeRNh6AS4c8FnWTnyLnq+yGDtRt6NyYK1uqELg/WrnODglzoPizyBijAQdMjfNQfLhhGnyy7iD5b1Yeab+juCN2IwVpdAQ581Fbo2okzVujaydlA6B48vMGP5BGbEA+S59kCPZKHBZ3+tqI/Ha0rpPfnDzd2wz9dfBk9Xng5PTJ4MW0ZsLRFkTwm9iQg608V+auAOWTddDUbuzgig2pTz9WsqbJZhm22dzNu33WHEr614pXAsJk84D7I72JeXbw/8OoudLm68OrKYBq3MEDs9mwzyUdhkOE0bmMIQ495xG6o4I0ofCMK2yCBq7Mq6OgK3K6gC59xykLPNpM8IpdbFsaklinLQjULoC3s6PXmXn9+2psLMglKVbAlRFhT3nZoxZNuS7i9my+saaqUzYq1R1eVHaUoQmPtkeU3nDcNJrgsv0nKBG/oEg+VuGXAUnpk8GJ6vPByFUR7/uJZinP89pRxtH96mYNKrCukv63o7wkMalGJzxb4UYn8ZkqgEg8e3mCFrp3IY4WunZyNTuiqh0SQ0OXsyQe97Mkv13Shz6++kD5t6EdHLx9CH9QU+67EsQmB/xPsyWxB1sPahEy1mbIKmG+ttA1pScI2xxoShW14xabbAAAgAElEQVS0qXKxtQqkLwRwQvl7xX2IkhMqm9KkV7epm+P3XHxeuhYYbWkT8ho8JRLSwqDz6+rCaZKxaxK7mQneIPEb/neiCVy9yJWsXF34zOTL5ZaFEanFNCpVT+PcbS5vQavt4Gxzl7vbXOnNlU1oOs40968fvXyIU6gSxJkOoy0YbjuiYsW0YU38hiUIa+oa0fhth676N6jOPNOWx7DyGzDB4c/lN1OwmMj3SpXf4L16MIQJzoWu+A2zQtdOnLFC107ORgpduQ3hV+In366I9JBQbUIi0b+vutzjbds5cq6vNlMK3UxqM2U/fJIq4DcmTg5vSIu6DQF/UmxD4vgQJWYskHvMDyUhD/TPVvWhj5YMCvVUy6Y0XiAR5NVFMA0lEqNS9b5qYB2FISicJm0MYVYGk50hnuiNKG4NNoUgq4LOrmDy5eooC7qqX+DEJosWNJ03lxdEyCa0MM/nR0sG0Wer+kQ7AJq+FyKoGQUrFsrPxQFQ970w3UqFNKLhNyxp9e+13Zti/YaZ6sy50JW/YTtHzvVkDfZVl2vJGF+u6RLtsI5bKY3FBLdSVujaiTNW6NrJ2YQJXU9aOca1nxRPchuCtHLUbUi2AmlyG2JqSAN/MvDaz1QcoQlyeHi6msRyEsxYECXjq32T0vSF3X2dh/rW9lovIm+z4w91fjCRXkSdV/dmtxb4KnerW89wY7PaORaGyS5ujFsYCvNqaVDePK3Y1W12owpe03bXt+E1CN9EL/HvmgSuDJ0FCVzdJlcncgflzaPCvFqPZYHjxGQAbbnLzb3u/PRth8mbiw2hFE44/Glbtrh3fWt7Z5u7u6+iLSDcZPpOJMGKmb4THn6uDNQGFEUE2a84D1w2orXErdRPY95KcXoMJ2N4DiVx7Veyuc4KXTsJxwpdOzkbLnS1V+LM++kTTzt6OA8whq46fVtb5W873tSbjtUPpKN1hT5/2+/HTP9W/G2yIe3egIY0bK9kkMOTWNY1Pwk0j+TpmkI3SR7quu2Vkb4g2ux0oTSTHxHvF8co6by6nKu7jOHG5p4bzcLQP38m9Woz1RdO45vdOGI3tuCNK3wNfz9M4MYVuXKTi/BZrzZTqX/+zNiWhWWd9dxc7s2V2D3Ol5a+9cAQmo5GEkBbkNvcxIxpVnrj4edKRKKhOZCTY3igFrccpkY0mTOQgdpc5Qx079fRukI6Vj+Qjjf1VjmD07e19SLgtrZ3hK48lBi81HivrNC1E2es0LWTs4HQPfSXX3jQPNz7iY2ITzwlSCzvrazwNArJLWFLJZZNaB5wQh8atERbHAEGpQ62njhdzh7smWDGdA92Iy8UD/aAUBo2WLpGO51Xl5MysL0CK/Qq9/1BNTD361Zp6oGLUws9fN2gza6kMUixGy549aI3kgAOELRB4jZI4AaJXATPTJtczsstTi1UxRDlqeU0Ke9KD2UBzFyI3Ku6XaUY07jl4Al+kzdX17CFG47AEJosUjFsCOPQFoxYMW5byIBGoiu9gW1BFkUAkYj2wEwQiXHJMbrtOxoe91ZWZE6Ocf25noZHV+jivTr0l19YoWsn8lih+y8wzc3NdP7551OrVq3ojTfe8Pzv7rvvPurXrx+1bt2aCgsLafv27b6///nnn1N9fT116NCB2rRpQ7Nnz6ajR4/G/u9hErq6h4ViUL5W4mW0JmBQoiMeQlcyKO92NyLZYFBGha3riiN0D3dPT/wN3dM98ZynG8AL1T0sMrYviIOJh74QIZTGfdUfLx1AR2qLtF5daTfhXN3b+1yprmmBG4OFgft1qw1FEoV5tb5wmm6zC7Fr8u3qgmphgjdM+Ia95L8TJnD5FjfIjwuRq9vk8vAZtyygGMJkWWjo4sWJrb0wfcMhubkynMm9uUdqi+jjpQM8fs9IITRJW9B8FzKyLWi+C0a+tPjtOnVre/Xb9bcV/emviwYbD32moohsld6EscBhveIscC50Xym/NBkLnP92uYd0FUQLOKRboWsnzlih+y8w119/PXXt2tUndB977DE666yz6KabbqLnn3+eVqxYQT/4wQ/olVde8fz9yspKKigooMcff5y2bdtGgwcPpqFDh9I333wT67+HTuiaQk5qS8i3IiGtQnJDKNP8cVqFcvGwiLMVOd7U29mKrO0Y6fovyOeWlL6gfb8MKfMzu3o7W13RlHb6trZ0cm1HtYWXAZx91eX05qSJRkD+fQYLw096pBvT6jX1wBC7CKeBrzsob17gZpejx4KsDHLDGy569eI3/OX/N4LEbZDA5VYFjhAzbXJR8QteLlBiuppf7stFuElaFu4LKFB5c9JEnzcX6X3j9+C37ZxtLvyeOgqJpi0wY9qCKV8QYrvC9+B4U+9Yt1HfxiE9rN1R0jH4Bj5KuyNuo/j2XRcatELXTpKxQvd7Pvv27aP8/Hz69a9/7RO6/fv3p9raWs+fHzVqFE2ZMkX9v//whz9Qq1ataOfOnep/9j//8z901lln0eOPPx7rvwsXurF8brgO39bFVwWM678TqwsSXf9hK8Kv/zIJpMW5/oPPDRzKIF9iYKBDpsz5A97AooybMvcxdaOG0jRNaaduba8OJ2CHHq0rpPfmjKT908t8D3le9iFxY+t7NaqHOywM3K/LkWOTAsJpcrNb0GaCQo8F+XbDNrw6wRssfMNf8t+RAjdogxvkxwVCDCKXb3JN4bNJeVcqX67OsgDP+s96epsCgRPjpQPysLd/eplz2HO9nvgONN/YzX+zwa/BI4bQoh74TBSSQAb4ayV+CklAkDbIrw4OOPIFcW1XmQTRuO0K71lc29WJ1QVp25Ws/t3WxW8ziZAvsELXTpyxQvd7PhMnTqSf/OQn9MILL3iE7rvvvkutWrWibdu2ef78xo0b6eyzz6bTp08TEdHNN99MHTt2pH/84x+eP1dUVESLFi2K9d9FCt2g5HKsMgJNoANX4aZABxrSgK5q6UBHUHIZOCUdokdusyJf2aJdKCBpHte+EOUhD7uJ73Ai3jOUfeDaFm1ph2aX0r7qctpbWaHFKnELA7ZZnMJwTXfnfYJft6Z9OpxW3WYlTTJsdmWhBKqCTb7dIMErPbwm4WsSwKaX/HtS2EoPbpjA1flxUe0rCyF0m9xJ7iYX4bOa9o7IvaKT8x5wlBjate4WlgUdZm9vZQXtqy5Xggmbwc+vuUCVDmhDmVw0yWvwkMNeNmgLqr48IleaM8BNBBLcauwYPj+QGNPSQdpNLEirO5zwIK22+lcXpI1a6qH5zbJC106csUL3ezxPPPEEde3alb744guf0N2xY4dTx3vggOfv7Ny5k1q1akX79u0jIqK5c+dSWVmZ79+ura2l0tLSWP99IHTfe/+Xeq8bqwL2lREA0RNQBXy8qTd9suwiOlpXSIfnlShED5qFOKInakNaUkRPEE+XsyhN0PW3p4yjAzNGazFjvhpN2RfPHhpRrm2jhnBCr211hxO8Z+JBD64uDii8LY2jlYKqT0HMkBaGq7o57wlvTZvVbpUnnKbb7HIaQ5/8Sz2lEtLKAASZzs4gBW+Q6NUJX9NL/j0pbqXA1dkUgA6TVgVeBgGRq/Pk8k0uwmecl3uF68u9Svhyf86S+2FV2EDsyRY0CKZTt7bXH/Q0n39sB5PadwJDmTr7ju7zj8O54TeLY8UOzBit/eyj7IYzwMP4uUktV3Ea0YBG3DO+yvO+Ha0rpE+WXWT+zeLVv0AjylIPVv0rhe577//SCl07kccK3e/pfPXVV9SzZ0+6//77iYh8QveRRx6hVq1a0SeffOL5e6+99hq1atWKXn75ZSJyNsLV1dW+f3/lypXUr1+/wP8OX3zxBR05ckS98G+/9/4vWwa6bmhIe2PiZOXTxUMjTnFEUuh62ENDYsaiBHFwDXj6trbpa0CD3y1OG1TiII7pPQvy6jJiBg+mgYOM61uThUFSGLDVwiYerWkNXRyvKDa70sYgN7ugMYCzy327QYJXbnjDRK9O/MZ5yX/HJG51G1yTwOV+XHByQVfQbXK5XQGbXB4+w40G57BKykKQZQG2HbQD8gCaSu5H9eYKpFjWPvuGlkBTrgB2q9O3tU3brSIGMsOwYpkczoPKbkxFETicw5+LsptIjWhZKLuxQtdOnLFC93s6N954I5WUlCjLwbchdP/t3/6NWrVq5XtB6Maq0YzQumVqSEO4yXQNHrVGMxvXgPyBD48i/G78+lb63XzBjoj0Bd9V4CernIc9g69HDaWFbrXc61tfGAdeXaTOWZDwq1s6qWAaqBk8TMg91kEWhjuE7QSHEx5OC9vsgrOLBjW+3dVZGXRkBp3g1Ylek/gNe8m/z8WtTuDqiApBVoWL8mepxjNwcsM2uTx8BtGEzz3CTFEsC/jMc+IIyiFOXNcj7U9HoIl/7oU3V4Ux378s0m1GLPJI8zpH6OI2Q1itItEWRIDWlCvAZ/6pogXKo84PeC1lt9IVRQS9dzw8KBvRIrXXxawvt0LXTpyxQvd7OIcPH6azzz6bduzYQcePH6fjx4/T9u3bqVWrVvTSSy9Rc3NzTqwLYRtd38ODX4VL0RShIe3E6oLAYMcr5Zdqgx264gi+HUzC042TYEbqnF8FSlSPj0lpSp3zlqGYPsWoD3zjVld6dU1cXfcKl7NE+XaLX+PyGlROYeDkjHv7L/eE07iNgW92F4rNLvfscs4utzLAt8uDalzwAkUWJHp1wpeL37gv/m9wYRskboEMkwIXgTPux4VVgXNypScXm1wdRgyEBW7Xubf/ck9iX1IW+EYQdh15i6FErrTsCG5u0Gc+7jY3TghN+dPlb1UAdQS0BR0SkVuttg6tyzopRvJzrxMHc1kUoQvQwrZgCtCiKCJWIxo/lItGNCt07SQZK3S/h4Ptrek1duxYFUZ7+umnPX/3P/7jP+jss8+mr7/+moicMNp5553n+88oLi5OHEbTCl3RkKZat0z1smGoHjfFz1E9QX7PTS2A6tHVAXPMmPQqBl3jyuS57+GBLcm2LuktCZi6btOQx/eWIJSWyKvLQznbuqS38b/SBNNYMOdIbZGqcn5r8gSfhSHMZ40HP963ZYbN7tT8Rg9nd1SqnkpTS6g4tdATUgOVAd5dTmaQG14ueINEr078Br3k39OJWy5w5QZXEhVgVcAWF6Gz4tRCKk0toVGpeg8nd6phk7usc/omAwc73GDcbfB3ys/6W5MnqOpYtRF0r75lAM33eTdxcyN6cxOF0FieAL9T2Oaq2yfN511HW+Btjia7Dv+t0h3s5G9VNpGImzS/VdJX7UEiuoeUUCSijpDBf6cCeMdW6NqJM1bofg/n+PHj9MILL3hev/yl88OwZcsWZV/o378/1dXVef5uWVmZFi/2X//1X+p/9s4772SEF/vLB/+hbRny+N74piQmfJ1fgR+cOUrB14O2gt/WloTTFziXEr3xJvqCevjLgIcIpZ1+raRFQmnarS7jIPu8ugbcmGcjr7EwcAoDfIvYypsOK9zGgIe/zrPLaQyT8670WBlQGSypDDrBiw2vFL18y8uFLxe/UgSbXvLP838L/z7f3kpxyze4JoGLLS78uLAqTDbQFeQm9/rz059zbleQIgnbQO5HB2Uh0LJw9zlmnJjJm+t+1uNuc5OE0NRnnYfQRHBWd6iTDOnXxk3xcb9BW/i2b59023iU3BycOcr7/iUoufFs4TWNaHjP/vLBf1ihayfyWKH7LzLSo0tE9Oijj9JZZ51Ft9xyC73wwgvU0NBAP/jBD+gPf/iD5+9WVlZSz5496be//S09/fTTNGTIkIwKI3RCV/sQiVmnCd/bpw39lO+Nez33jK/yPEDCeLpx6zST+t4Q8DAl0Pl1LhLo2gpUHZvy1aKshdJCa4E/vSbt1RVbrjMvDkhvuX7bzvnviipn5lvkFgZQGKSFQb6H0rt4NxMB2HRhs8vb02BjQKlEVX4jTchr8IhdUBkgdsHc5WG1IMErRS8XvlL8Rnnxv8u3thC3UQQuvLgInEHkYosLkTshr4Gq8htVGYS0Kyxnm1xsA3GYk8xoeNH5YU5aFkBZ4JYFjx8d1bEPpsOX3/znBU74UtxeKG8u8FTZPNSZQmjuNtfH/NZUYIM0EkZbQJMjgrPZyBNAAEetLZf8XP4ewrYAbzXyBKgtNxZFBNWWRziMW6FrJ85YofsvMjqhS+RUAP/whz+ks88+m4YMGRJYAdy+fXtq06YNzZo1iz788MPY/x10QjfSNbgsjtjezVcccfq2tgpXZUoyByX4WyLJjCtBJJnXiiSzpC88VaSvQcW260htkYKw84eIdlvi9se3FGop1LfI2u08uCXOFeUiwN12SQoDt6DwWlQEdVARzP3W8n3EgYVvdsHZre3QpOqCuZUhSPBy/y4Xvb3aTNWKXghfnfiVItj0kn+ei1oIW5245R5cvsFF2MwkcKVVYf656TKIKzSeXMldlZ9tVPwiwMTrrvmVt4+y4N5aeA5znBvNP+O8VSsDbm7GSD0ZvsStkziMH6sfSEdqi7S3FqAtIEvAf6M4IWatIMQk/Y2KS4iRFistIQb8XE6IwWFc+Kp5UUSU3ycrdO3EGSt07eRsTEJXC2Fn3fGBbMqQbQnnsupCHk8ULqRHBi+m+zSYsWw8RMIg7Jy+wNPMwPYYk+i8Px64pS2iEnhX70Tw/CDfYmQR8P5l+m0XQjrwWT/A6BkaCwNPpKMAZM/4KrX14jYUbOd117uwoYDGwMUu6oJ5SA1ilwfVQGbg/l1UCMPSoNvyStHLhS8Xv2Ev/nf4vwVxq9vecosC3+AWpxYqogIPnEHk8tAZan2lyL22e5PHk2sKL/HrbtxW7BlfpQoGOFlEa1lAWv+B1vrPt7i10IWZ4h7mEoXQdJ/vLV6cns5exW+dgEGUhBF+YxG13CYbh3FYTx4ZvJieKFyoDc3q+LnGW6cA5reiw+DGKSBHYIWunThjha6dnI0UuvJhovV7CrEUp20IPN2DM0dFQlXFvRZMUqsp/W/39l9OD7gPElNQJ6gOVYvuYYxKwNhlHWo2r3XhsTbhxqSFQfFFuRjYxJBj7mZewfQvH+IJp2E7j0PLzpFzPc1Ruu0X39Bfd37ahrKMWRlqOzi+3VntVtG0Nitpan6jsjPoBC/Yu9jwctHLrQ1c+OLFBXCcFxe0eEHYSmsCF7eFebWKiWsSuFX5jTQ1v5GmtVlJs9o5ftzaDmmrwrLO6c/1dWIDqLul4Oi8nSPnKnHEt4AInx29fIgqRVHFELjy3iQOcZwXzS0LBpwY93hm1Z4ja6+xzQXrW4NAjFN7zQOXD7AQmilHkKSuPFOsGA7iyBFE4ueyFkettSrAV43nhhW6duKMFbp2cjY6oWssjpBhD14cIRPNBp7uR0sG+QSSvBrEtXfcoEe26As6HyPvkIcHzpdIFxB99TCRobQgiL4QAxlf7YpaVHVQwfsHTBxvTINfd7PewqBEgYtgwvYL7yWQcTtHzlWbXWzAtjDPLqdprGEb+sauad+uzsoA7y7IDLAz6Da8OsGrE70QvlL8Rnnh7/F/i4tbncDVbXBhUwBRAV5cnVUBftzGrunPM24o5Gd5C7uhQL31zpFzFYoKdhzcUgCdh8Ob1rKwmflyRQMarr3VbQVP7LsbwUytOb5DXFA5igyhyUO4YH1zssie8VX0+zHT6fmLZ/nYuToyTKa0hTiBWW4/0RXb4LeJW0+M/FxBhvHxc5nQlUURVujaSTJW6NrJ2XChG3oFLjYnnlQzb9sK4elydA+vA+Y83ScKFxofJplgxkzoHtPD5NHBafpCIGOUbb/CQmmesI683uWhtBgFEqFeXZOPkVkYVPkHRIGwMCjW6DUX0N9W9Fd+RlhREE57bdwUJQ6wBeM2BtN170/FZnd5Z72VYWbb9HYXZAZsd7l/F4IXG94g0Qvhy60OUV787+DfMYlbbHC5wIUPl3Nx4cWdxgJn0qqwXGxydZ5cbsPB5/jp4suUyP39mOn02rgp6rOMq274zv+2oj99fs0FCkeltSy4zFwPPu+tMUb/eTa8uZ6CCGap0t404QAeEELjtxRBrGjQFh4dHExbyPZvk+kQ/kThQi0/F7YFiUAM5OfKFjtZ7qG5aZLvnRW6duKMFbp2cjZhQtfzUNFwKrU83UfzfT447vHkMHZT+UAcGLu8Hgx6oMjrwZ9qrgd1CCbdAwV+RgQ+fKE0ifABfkkX+uDp5iwGdrT2Ex5Mc8s/PKg4BAs5cuwXKSdc6IoDWFFQEfzenJEKG/fW5Ake7Bi3MSCgdl/AtS/HjzVqrAwgM8DOgA3vJBZY04le2BqG5dV5tr0QvxDA/AXRKl/yz+Hv49/D1habW25P4OIWQbNJbIMLmwKICtKqgM8xBJHJfgNBhM0ftytg+/fW5AkKQ/XenJHpil8g83Bou61t2rKAz7IbYOJIKk/JgGYbqOOvZiVo6dJgtCFZgc+TTWg8hIagLHznugM40HnID0hblfxdikJbMP0uRSm10R3AeakN91j78gN4H8P4uXj/Ag7fVujaiTNW6NrJ2QQJXWPbFrv+jlOviU3gR0sGqcDHO9Mu0XIqOWZss7s5kZixlgh8yGQzZ+pGrkeVoTTZlKbzM75T5QezZ3DNG+Rn9BxWeGMaLAz/eYHXwrCFtaa5VpQTqwvoeFNvTzgN3kaEDPlmV9oYpGeXiwUeNryqm9fKsPi8NIYMdgbThpcL3rLUUq3olcKXi9+oL/w9Lmx14hb2BAhc0wYXNgVgwxaf57Uq4Hobn115SJOeXLnJhcjloaX35oz0hM+ON/V2NoC46kb72RZhWXBFLiwLCFhqP8sa33m27Djqs6zzncsmtIghNJkdkOxcThJpqaCsxIrxDb3EioHzDdvC+/OHq5ryz6+5IFZNucd2ErHFzgpdO3HGCl07ORspdEODH3IjyDco/MGiw4wxHiu2J7wlLQpmrCXpCzpWpSndHDuUxoMfPKHeglB9uQULojB4fI08wPObts715mbG10VFMAun/XXRYLXZBXYMm10E1IAew2aMb+w3GUTD9Wwz1sjsDBC88O9iwzujrTe0NomRGnTCF+IXAhgimL8gXLmA5S/8Pfw7+Hd1wpZvbyFu4cGFRQEb3MXnpW0KELj4zOoOZ5v6L/ds/HATAYQYD55hkwuM2IcLhtFfFw32hM9Q8at4uZvdq27efsZLUP57bChlIdPPceQyFE5a4AHZmCG0IBpMNg/fVwUcvu+IiRXDe+rBirmHFh9WjB28fTdMfCMfISBrha6dOGOFrp2cTZDQ9fl0T9xs5umiaQvX3hExY7wljWPGnhleQ08ULqRHBy/yXROu7+Xd/MlrwpUh5RFR24fkZmxbUW20UJqpKW0LEwoaX6NPJIT44uJUAxvh+szCwOtSPSEeVyiocJpbEfzlmi70xbU91WYXjVK6ze4r5Zcq9Ngzw2vUQQbpdWzt4cU2NeFJOwP8u9jwmgQvNr060Qvhy8UvF8CmF/+z+Pv493TidnKIwEWF7yKNTcH0WYV38x6WxgctZFtRrfKWvzDqxyp4BpHLN7m4jTje1Ju+uLZnOnwGn/lmdlDjoUpWa+2xLBhKUDL5DOtuJkzIPGXBwUFtS3ATWlgIbVtRre8mItPWxoYuetoC39Sv7+W3Uz06eBE9UbiQnhle48GK8Ta0yFgxzs9lQUKfv9q1LQTdLlmhayfOWKFrJ2cTJnSjNhB9/crQWJgxiCIOZudXhaAvJKnZzGYoTeeJ0zWlIcgjW6SwFfP4G1mIJ6pXN+lW17eZF1xkj7+Rid0zLw7wexwfdFrvcP176tb2zmbXDRrKzS482NiQoVRid+lstSXjVgYcaDa67zPf7krvY5Nmw8tF71wmemFtqBbCl4tfCGCIYLzKDS/+Z/D38O9A1HJhC+/tTCZu5wpxKze4TQbPJt/ibmQ3D9Kq8NwIJ42PMghs/FBhLTe5CCx9uaaLc8Xt2m7O/Ioh8tjnlltvlMiVdbHCfpPEsmC0UEXx5oK0wFB5+MzKtj8czmQTmi4z0FIhtDj15Lzs49WxUz1FNrKePApW7OtXhmbU2GiFrp04Y4WunZyNSejq4OyBOJ+ImLEvru2pMGN4wISFP+LQF6KgfOJUAiPUI0NppqY0+ByVL04WSGiuDE11qdn0NwZSGKSFAQFDpNZB04Bo+JVrSRGbXWzr5WYXYhelEi+VzfAQGbYOrVM2lQdcsbuJWVUkP5m/33ivl2kEL2wN4PDyTW+1EL5S/E4SIli++J/hopYLW4hbbG7BwYU9QQpcbHBXdvW3Y/HP5h3CqvCA+/l8vPBydRh7tsQJTqLkZM/4KoUQg8jlm1zYbTyb3LvcZP79zF+O8JkrjBRKzGBZyCRQGeYzN9Va6yxUuoII5AXkgZvjDnUhNGxzs832zpS2gHAsDtzAihnZ3mFYMYE7DCuxsULXTpyxQtdOzkYndKOEQHyYMdgXZAsRAiC3tVV4quNNvenjpQNUeYQJ52PapNzRJ+2LM6WcMwmlcUQTvxJ+dLADaH9meA3tHDmXXiqboZqI/lQ13lObGujV1bWlSa+ubqNiSDwnoTBoiyTcQI96P13gvq9MAtgx2BjcbT0CahAQOMjgSvhPVePpzUkT6dWxU5UfG0GfbUW19EThQg+jVCd4UTKhs63AsoItL6wNnNYA4Tu7nXfjO7NtWgTjVR3y4n92Rtv0v4ONLba2sCXAewtrAra3uMLWXV/j86gTuJz1/EThQmWtgVXh5Uum0atjp9KbkyYqEYSQEoSQ8uS6m1wcyr6+W9N8hoMZKzw5+XaFCp+ZiiHiUhai4MR8PGidN5e1oIV5cw/MGE1/qhqvmhpfKptBO0fOpWeG19DWoXX06OBFHouNrCXPJC/A2bmcArPBfc9NN0sm3CFKIj5eOkD5rU+u7Uinb2vrDcbK3x9OzJBYsQihWCt07cQZK3Tt5GyiCl1fHbDAjJ16Y7QXM4brbkPdJq65uTcuCn1hU97x4aYAACAASURBVP/ldGffKwPrNuMA2sNCabJyU9eUFterq/iVPNSDq0NevZlFBqnRwsCvgV3ftfI76sJp2OyiOU2z2eU0BnB28R5z3y7CPrCqbCuqVa142O7iPccG7Xa24cV7D4ERJHix6V3Itr1c+Erxi9fMtvoX/zNc1Ephu6DDVUrcgp5gErg4cPHPIXy4uGEAG/cBZlXYOrROBZMgfiRZAZ9NeDc5XUG7yeXNZ+7tgwyf4Zobn1WP3SaLloVQFjR+e2CdYiFKZbWJ4c01NaHJrEC2Q2i6WvI7+17p4yGH0Rbw+2O8VQJW7MmOHqwYv1HS0V/CDixW6NqJM1bo2snZhAldY0uaoVteXR0CT/WAI+xM/ji5UeH0Bfg4dQ8a0BckjiqTUJouza570OgKJGJ5dTe2dq6DeRgEwR4IiIiIpiTpdV/AkPt1mdj1kRg4fF+z2VWeXXdrDz4p6oIPzS5V23v4duHLhh8S210peLcwwYsN7wa24eW2hus0ggPCd5lG/HIBDBHMXzXtvS/5v8ffg6CVonZZZ6+w5QcsfO5gT8AGdwPb4ELgbjEIXPBxXxj1Y+XXhB8XW75Ds0tVre/HSwfQpw39vHQF15Nr2uR6MGKMsOATuez2Iauf0yA03msl6QAlD8Pez7B4Eb25poII3UFb0kGyHUJDhbPuoP3cCC9tQd4oGX97fuW+ty4eTlmn2O9OGM/bdGCxQtdOnLFC107OxiR0o2DG1GbFFAYxtBGduK6Hx88p6QvwcZquDrk/7tZefn9cJm1EMgjCCQwPMK/utqJan0cukleX430ecH1ynEfKroSjQPd1mJ844R6diMB7qryPEBK7+zrXwtiYBWx2T6wuoM+vvlA1qMGmgkPNvupyemvyBGVX4VYG3qaGQw7qg2Fn4IG1nwvBy20NusMPQmxc+HLxi9eijsEv/mcharmwXd7Zf0WNzS0XNjcLi8LtQuD++qJlqsYXYgeBM2xxuVXhjYmT6a3JE2hfdbkSP7jOPlY/0KmDvfrCtF3BtMnFjcOOHunQ5Gsl6c0fJyyIw1jc8KTu9yZq2QksNor//Ju2aUqIizeM4s2VGQHYaXDY4qQFGYjNJITGb5Ru7rlKfQ6wxQ+yTv2xvNpHW+C+6xPX9TC3NJrCsOImKQwrZoWunSRjha6dnA2E7nvv/zJe8llUb/quEHf0cB462PwZ6Au8kUgXBgF3lTdqhYXSkjYS6RiWptTz1qF1apOGB04Ur64vmCZCPtoa1YCAT1TvY9C1sOfwIja7qiYYm93dffWbXU5jWN+OvrqpsxIWIDJ8tGSQwsodml1K70y7RMH5OZVBJ3iBmnuIbXjh2cZVMkQvNv34XMDewD8f2Lw1CQGs+7ws7+x9mT5LEC/4TEHE4BAFWwLCRtjccXvC3Yz2gQ0ubhKeKFyoFbicqoASk3emXUKHZpd6rAogK3xxbU8HN3VTZ4eTy+kKuk0u0FPu1o9ba9TmLwNerskqZQpOBtZX83IIZpmK4s3lB+wdw+erWwUd9UXH8o4TQjP97gSF0B4vvFxxkXVhWNnQaKQtPJLn/Dbv6OGzTGmryCMeWt57/5dW6NqJPFbo2snZxBG6X53e6A8yCcxYHPoCtrq6K0RwV3eOnBu4WQmqBM7GVpdvVnQFErG8ui7LUnXNb2LYJjx4WMuUBzfGg2ka/2OcoM+pbzYHVgTzzS7CaR7GLt/sShrD3eeoNjxs7z+/5gKPb/fDBcNUC5XOygDvLlLv4O6CzsAF72aXacoFLzZuELxrXdF7sxC92Phy8QsBjFeT4cX/DP4eRAs2tlzc3uyKmLUXrlQCFzcGXODeyzy4ELigKYCLC+oHvLg6q4IMncGPi4asr27ppFqyvr5bQ1eQm1yGEfOk8nEAM1T86tL5kS0LEoXn/tZ4bpBgq8HBGhg811Jzan07X211VG+uLIiQN0mZbnN11Bcdy1veJMGmgvIPaZniFI2otAUfVkwECqP8zlihayfOWKFrJ2cTJnTDoO2Z0BckU/fgzFG0r7o841BaVNQYvHK6xDu/TubNU0FeXRNXFxuWL67tmQ6mcRC/rlJVZ2HAA4htWpKGfYxXxNLGwBm7OMiYNrsM5fT1L1LqvYZv9/OrL1T+SIgNCF4ccqTgxWcAW7aniy9TuCd4eLHpB8ifWxvwGdnQu1EJFCl+YXdY44rSn7LX9efrX/zPrGGbWvx7XNTiwLSBbW65NQHFJNjcPcxICk8VORtc3B4ggCQFLj5zELg4ZMGr+fnVFyo/rrLQYMuHz6Bpk8tvGPjBi9kVTJaajMKSuDliOMNAywJvZGTFJs03dnOwhu4NkombG+bNlaQF3eEavydRswE6jnfcEBq4yJKdmxXaQoyyGit07cQZK3Tt5GyChG6gfSGMvoCkPugLLrQd2z718GFM3UOzS2n/9DJfM5GpEpiH0kzIqbihNPng0WF+TF5dHVf3/fnDlWcODx9cGXtKJHTVwOBaBtSqxsU3RQqnsc2uYuzyzS48u5LGwBrUeAjo5NqOTgW0u939tLGv8mcfrSuk9+cPV+897Cs47Eg7w3Mj5qnAGiwNXPByWwM2vVL0covDrb1WesQvBDBeN/fUv/ifwd+DqL21l9eSIMUtNrfSnsAF7pPDFqig2XMj/DYFiBx81vZPL1Oft6N1heoz92ljX/r8mgvU504dshCK5I1nkq7APLlqkys/h9jkJgifmSwLHu+4ifWMA5es+hXlEOpzd/WF6jOHz5u0Spm8uTqsYRKGd1AIjZeBIIRmqvyVzYx47yU7t/nGbmpr7/mdAW3BPVBHoS1EeU+t0LUTZ6zQtZOzgdA99JdfaH/AAnE/UegLAtyOcIh8AB29fEiiUJquKS3uVaKuQEJ65oK8ugiHoIrzjYmTaW9lhfYBJDct6to4xMLgYeuKTVqmnkjtJu2z1cGbXUZjUGl3HGpQuYqQ2r/nqytkHlT7tKGf2u5iy6YTvHvGV3k2vFz0wtbARS82cQ8OrFebXgjfTUz83v3DBiWAYXmAMN3gbmDDXvjzsCBA0N7NRC22thC29/3oCnpwYL3a1ElxC3sCxC3f4O4ZX6UVuLg9UFtcbPXcwBksMwpxh9DZ/znH23gGTq705Oo2ucyukKnI1aLExOdPMXODLAuwz8ibI82Bem9lheLmvjh6pud3JsibC5GrO1RHKYjQWaU4bQMHorghtKOXD/EdqD3hV11RTQzaQtD7eub/PUiH/vILK3TtRB4rdO3kbMKErm7rEom+gOttCCBT37wmBY2AEtBTCKUhhY8EvimUls0HkC4FLXE/uk2LvFLEQ0gG07S4MVNjGr9axDYtIa80MJym8ewaN7scPYb32vVlq+3a3ed4trvNN3bzCBDu3QWZ4eDMUYq7CzoDNrzw8D5/8SyP4EVwDV7ex4YsUsSGBwfWq23vZo3whfiFAIYIDnrdzQQtRK0UtpsHLFVbW4jbRwYvpseGpL23CJhxgfv8xbOUBxcbXNAUwMXlDWfci8sPVLDK4AbB48eFX9MVuRIhFmmT6372kh60AvnOvMyEU0BkA5oGJyYDaDhMS4uU6eYoyJura+jL9EAN3zYPoYG0AcoGQmhAyCF4qKW8CHa3OtTw6nGZBQigLYS9r1bo2ok7VujaydnEFbph9AWE0nwAdx4SYaE0jhqL0zkf50oxaUDE1JYG79yDA+uVV/fp4ss8IRFeySkfRAr7E8XCIMIiviIJTWuaqaIzzINtxDpJ9Jjk7LrvtS+kxq0MfLvrBtWab+yW3u4ywXu0rlAJXvh3+YaXi97fj5nuE73Plng3vVz4PjrYEb+wOkAAP/CjK9T2F2KYv3590TIlXPkLf/4+99/ggvZhV9Ria8uFLTa3z5bM84lbbk94Y+Jk3wb33VkXp5FhrPyBY8N8gTOEkTaz2wMROlO1vjpOrmGTKz9zUdv6eMW4tv1MFEPIsGtUywInfuAgLSvH+e8LvLkPDqw3enODLFJxD9Pcm6uzSPEmNPy+mLIAHqSYLoT2aL6/oIaF0JLSFqzQtZNkrNC1k7OB0D14eIPxAcUFUSB9ASl9CCCJ/XGbivjVYvMN3VVtrNy4gLEaFkoLColE9c6FNRVxr64uDc2xP9i4+K4WXdyYCqbxxiJTY1qYhSGD1rQgsWva7Po4u2+NSQeDsGV7tsC5TuYhtS3p7S6sDJ6gGsOQHasf6AmrHZpdqja8f546VlUJv15R6RG8sDUgvAY/L0TvU0WO6H2icKFH+HLxCwEMERz0wp97WIhaLmyfKFxIW4fW0VNFaXEL3y3CZbAncIH7ekWlqu4FLuzgzFHKh4uw2bH6gerwBC8u2LiwKijCxxYmeLa2d96jZwvU7QECkOpQJTm5mk1uXJEbybLAP2smy4KpAY01MPIAGrB23Bolb4wQcjRxc2ULWhxvrq6gRnpzTaFXGUIDK1neGKHOufmG7n5r1P85x48x5JXjPOyqoS0Evbf4nx88vMEKXTuRxwpdOzkbLnTDTuw++4IIpfErRiV+ZCWwCKVJvqX00Oma0oKwP5lUcuquFvnWRXp1uYcOuDHeWISwiHwgfbx0gLIwqBQ8v2IMoTD48E7uli0onJbVza5sUHNT8GrbJq0MQJA90FpVQqs2Ne7dZYIX/l1paXh31sUe0bu3skJxePeMr6I/llfTK+WXeoQvtr07R86lZ0vS4vfp4stoW1GtEsFPDlugNsAQxEEv/Dn8PYjZbUW1yoqwY/h8erbEEbXY2nJh+0r5pfTH8mraM75KcXCBCYO45RtcWBTgw5UCV3lx0XKGylfwU/G54lYF99ZAfb5k41mWN7nG8Jnm9gBWmUDKArdEuZxu/KZ8vHSA7wAtcWL8d4VnAEzeXN6+l8QaFVQ5bsIYyiY0mQGQvO7AEJpb+Xv69VKPJUqG0OLYFr7++/1W6NqJNVbo2snZQOgeeG99ZKHrsy8glMarOZmXzvNgQiXwXd7AyPGm3uqhFCWUhrCIfCDJ68W4IHd5vcgZl+sY41Kmoh8b4mxedgyfrxin2LzwK0bO1sX25atbOqnQiPJPBlgYPMB+ztdl6fcW2ezyUgluY3A3boq1K327Adtd5d11PZWgccDOwDe8ELyH55UoBi/f8sLLyze9L18yTdkbIHp3l85WwhdWBy6AIYKjvPDnIWhhRYCw3V06W4lb2BK47/b1ikrlveXbW7BwD88rUQKXb3BhU0C6Hp5vjxeXb3GBlXLDjh4/Lhi57nbP99litwYtscn1VVGzz5YshtBaFtjvCZi5qKDGzQC3ROGmCKzmHcPn01NFCxS9Q1JdcIDmDYyZeHNlMQ23ReEArQu7BoXQPl46QFU6q20ufk8eEAdn7v3nVeMshBbXtvD13++nA++tt0LXTuSxQtdOzkYndIOup4zXjYy+EFgJ7IbSFOcypJrzrckTYjWl6R5KSX10YQ8l7tWVXjpUA3PcGBinsoteYYBcC8M3m4MtDEhJ+1rTDNfKccJpoWKE2xg0m11tSA2+XYgTBNV+lQ4Pnd7Qhk7d2t4bVnOLJj5t6Jf2714+xCd4seHdV12uWLzw8u4ZX6VE7yvll3qErxS/XADz13Mj5nle8n8PQStFLRe22Ny+Nm4K7Rlf5fHevj1lHO2rLvdscLnAPXr5kLQP1z0gYYurwmbu5wfhRk/gDIcm+HElWQGhM90mV4MQ0wmgjMJnmuCjOjDDGmOwLCg+t/v5ge8bvGbg696ddbEHJ4aqX+n9j+LN5QUjmRZE4PCM0pAoTWi4JQqsGueVvwi5mip/OW3BYIOKYmuzQtdOnLFC107ORgndd9dFPrl7rh35NkZWdPJKYPg23YCSCicx1FiUUNqu0jkqNIIHE0Jpd/a90njNmNRLh2tG7qcDH5Wno3XVwMCN8atGiF1goI439aYTqwvS4RFQGLYwX53OwsC3b5LEEHK9nJXNLrZvbiqe48dwyOFWBrWJw2ZfCl6UTDDB++WaLspr+fnVFypLA0QvtrzY2IHWgE0vhC+2vRC/sDm8Nm4KvTp2qhLBEMIQw3i9VDbD8+L/O/x5/P0/llfTq2OnKkGLje2bkyaqrS0XtgdmjFb0BGz8sb3l4vazVX3SG9wbuqd9uFzg3nO2X+Di8yMFLqwK/z3Wgw9TnyXWwpftTa6pkU8RFtgtgdGywCguX/8ilQ63ri5Qt0Ng5iLQCCsUx4npqn7lwZn7/rkdKqk3V2eH4tXPODgj5ArMXNQQmtrmbmKMZPixReWv57CsCbbGeSYceHedFbp2Io8VunZyNkmFrom+wCuBFdidh9JYeMTTXhQQSpNNaaarxrs0V408HZ3kqjHo4SR5lybcGOD+qGd9b87INFtX1ANHtjDo6ljFNTO2MtnY7Gph/gaxy0NqysrAg2rbuqQxZC4WSjWquWG107e1dewMrn/XJHhhazhaV6jCa+DxQvSC2gCLgxS+XPxCAOP16tip2hf/M/h7ELVS2MKSAGoCxC34twiXoejhWP3AQIH71S2dVLuZCpuh4ex+dhvwZMf0jQACZ+4W1xc6M4hc6fvOxiZXGz5jlgVt7XREywL4zPB2vzdnpKqZxu+ICSem43MHHZqTeHN5CI1boRBwNVmhTE1o2hAa/Nk83MpDaKKIxmd/SmBbsELXTtyxQtdOzgZCd//BWyJhqSR9IVIlcEAojaPGeCjtaF2hekj9qWq8B+wObqopPBJ03Rj3ARXGvIxiYeBXjhC72MYgVOShMCAtzTcyjH/JPXae68cI4bQo2LEwsRtmZfDwdrng5UE1KXh5WG2TsDQID68SvQiuuWgyhNe48P2gppjenz+c3pszUonfgzNH0f7pZbR/epna/P556lj689Sx9PaUcWoLjNfeygrPi//v8Ofx97Gpxb+P/7xDs0vpvTkj6f35w+mDmmKPsEW4DIgwBMzwmZAeXI9FYZMImwmBqw2cuVtcxceNYFVIKnJhd4oUPmO2Jw8vl/O4+Y0Q6C2CsvDx0gHqVggil1ugoloW1vdyDsxJcWJxvLn4DeHhVnCVeRHNn6rGq8MyKC4yhKa2uQEhtCiVv5y2EPb+njyzifYfvMUKXTuRxwpdOzkbndBNtNUF5J1XAkcIpZ3Z2NrXYsSrOt+ddbGvQGJX6RxfgQT36poCJHG9unFxY/e5uDEA3ncMn0+7SueoEAkeVLp6YG5h8BRJSAoDHljMX+lDQYmNXCa+ykibXYhdbOXc62duZfAE1SBeni3wkhnQqiY2vB5Lg9jynlhdkPbyuuE1bHrh6T1aV6gsDtj4Qvi+O+ti5fM9MGO02gBzIax78T+Dvwd/7buzLlbClm9sP1wwjI7WFSrPLTa3CJcp7+3qAt/2llsU/n/23jzIqupc/yepXKC7gQAiCjIjgwyNzdQ0YyNjAw0t3QICMgmCCGJ5NUav8Up5TdRESkJhpFAuRr4ajRWDkXLgAoVKiF+0IolIUBzKgeCAokZE/d37/v44+1nnXe9+1x5Onz6532Stqv1HTPc+DfTe+7Of9bzPoyq4sCmg/CH4PTEqLh84C35fjO2F7waghCQPSm6k35vvCMjIOu7zxu+JkrLAiyFgWdBqfvGijKHWneV1tGPQbHP/eCC4f6SNE8uHN5cPtnJvLgoidpbXhQoiuP2JN6FhCM14tJMOoR1fapXP5KLmetD1K+3yoOtXwRZA98jrN+T0Fq81pZkhpaimtG3FdtTYrS1MPSwGSd6bW0Zv1Q21At5dBRLcq5tk2xEPqjhvXZpqYM3CsGPQbNo9bKaVf/nK5LEmGggpDNh+5EUSp+8oyQKNazhNS2KI2X5Oo+zK7WetRU2CS6hc4shkY2eIBF6kMzxYYiu88PCuaxpWeW9qY5Tez69tb5TeT1d3NRYHwK+l+DIABgRDAYYKjOPtWYOtg/9/+Hp8P84HoJWK7cfLexpLAsD2s6s7msGyL288Mwu3TL39el3TrAeXK7g8EzcCcGFTsFRcQI7yu6K9HCWxvSRScqXtRUtYiBo+25C9Z8DfD9sTUhYQUQjIRR737mEzaceg2aplIU3Vb5w3V74ox0UVbnbsCMGbywto3qobSu/NLbMGWv92Q9vsPQNq7rbi2CY04+1X1Ny0u3tHXr/Bg65fiZcHXb8KtgC6f3ntBzm9yec0lMaa0r7d5B5Kw8Q0th9lgYTLqwtVRnp1c8nVdam6UXFjCHrXGtOkXxcWBhRJmMlpHvi+kYENrwiOSGIwD7AEsWNpYBfwEjmkplgZoNYZdTdoVEMqh/Fgws7AFV5uaeAqbwA7GF778sYzLaUX0Gt8vSu7h8D3gyV9jPr714X9shCMY36pfrCvwfdBpf1gSZ8Q2BpLwprOWbjlyu2NZ5rhMlP0wNRby6IgFVyephBM1aPhTKq4lheXt+tFDJ0lHWRMpOSy5jM5fCYTFqyK3+DFx7IsBN7+k1d1MsUQ0rIAX66rAe3+BHFirnKItLm5Ud5c7AZp3ly8IOOegeQW1xCa1X4nm9AaYAgN/8Z/ee0HHnT9Srw86PpVsGVA98i/pg4IT92Utq+fPVQCVTeYuEfY+8mrOtGJld3NQIkskIjz6kqfXVRtZ9wDS/PZJbEw3C8sDDyFAZFjr04ZE25NW9nd7qq/rZk+nMYD/wMbQ6i2NaGyWx+IsXy7LuAN7Awq8AYebgM3UuGFhxcvRlzlhZc3qBaG0mvAFxaHwNf7+bXtQwD86equWfV3ZXcDwzg+Xt5TPfjX4Pug0n66umsIaD+/tr3x2xpLAgfb25plq3oD762l3gJc4MGVCm7we2DazVyAy1vOFMDN1aqgvQwlVXKtOmmZwawNn2GA9fqzzb1Ctp+hTASQy1MWpOUpiWWhPvcMWSce1YKmeXO1gojji/uaewVKZ5C8YdRcPsTK7xEJm9DSFgj95ci/etD1K/HyoOtXwRZA9/Bf1iTOTkw7lGY1pWE7EgCztYlJYEBLFo8IchVIwKurPbju6bWM7jp3hdWWlkvYe5LJafngcjWmIYWB+3V55Nh7c8vMBPUnq7pltyNZvu43v2BKDW+3YvWtztixGGU3n7Ab8u5C3X3nYrtkgg+rBZBjKbzS0gDghcoLLy+Alym9p3/SPAu9zOLAwZfDLwDYQHAAwpFH8HX4PpzHQC0HW25JANwiNQHKLYbL4L3l6u2vmoctClzBFWkKGDbDS09IxRVe3HxBbi5KrhUjBi8//t2DFxxe8fvVLS2NzQm10ccW9Kf35pZZUWLcl4uUhagGNP5inEtiS5rSGeTmogVN8/ajEjqyIOKaDqYNzyQtbG2SfSGCzUlpQsvXEBr+nQ//ZY0HXb8SLw+6fhVsGdB9dZV54OU6lGYig9CUFhRImG3JA4PDBRIPlphtadQCox0L25FpvboyC9P18Erqt9MsDPLhdWuXjKqrqTSPDphP28vm0lNDZoX8uoeqKo3v7t05A53DaYiR+nZTAEBsut7YGDjsplB28wU2aiqDZmdQgDdkaeAeXqQ0cJUX1ga0rd0XqJ+bshYHqL0Gfm9rFgLgU2tbGfUXMIzjbze0jTz41+L7T93c2pzXAlootvDbrm+StSRsCn525N/CewtrAoPbb5/uZHlwpUUhFnC5ihuRqpCPF5/ESi57CTZ2BbwIbwnsTUHsnGv4DBXRR6pHWe1ngNynhmSixB4dMN9YFvjuz09ZyoL2UpwmM1dTc+VLsSuDO4k3FzYntOJZdb+b7V0fUxBxYLCxN1kFEUHCRpo2RfnvjRfcw6+u8qDrV+LlQdevgi0Duq8sz+mt3qnqouWID5r8cXh2axLlAcHDzMrETODVjcrV3ZJigjqtShMVFYS++g0xFgbemoZJapQGHJtfGs7XDYbTzNbk5sZ2VirL2DU+vBTKbtqc3cSwy60MPJnh2CJjbTF2Bk3hhYcXlgYX8CKe7JdNdejlii8HXwa/BoADCOaHAWIOsPwIvg/nAdRysOWKrQq3v2yajQeLAtwgKgyAG1JwYVMItqYN0KRQcXP9HXC+7EQoufDvW1m5PGN5c9bahOEzmZeLKEJYFhAlxtvPXJYFXjQTF0mYi5obZ3PaEqi5vy69RM3NTePNNUkLv2qeLQkJLC2WN/ftWdkXnwg1N+1u3uFXlnvQ9Svx8qDrV8GWAd0/L61XWHio7UgWSGCLkgfAywQGFhkU59XlubrPDL2Inhg0xzQcaQMmLrUm14eYS63hRRLYlkQKw2Nl80xv/d7hNbRvVDW9OHayqfR0Dad9fm37zPakbE7bKjJ2UQpQYGU3CfBadoYYhVd6eE+/UJaFob29s8of6oU18IXay+GXA/AvmPIbqL8GhnGsiznY1+L7zfngseVAK6EWlgQJtjvaZ8A2UOq/2ds7C7dBFi734MYquCkBt+BKLspEeFauiBH76paWGVtTUA2tDZ+hMvzFsZNp36hq696A2vBt/RYZe5MshsiXZeHKs6N3feTgKgbQ+L0BubmJvbnrm4STFljBjPHmRhRE5DqEhnv+4T8v9aDrV+LlQdevgi0Dun9aZB6GaW96qqoraz1dBRIsgQET1Um8ujxXd1d5LT05eJbzYcYVGx43lmZb0mVhiEthkEUSiBzbVV5Le4fXmFpPma8LHx7KA8xwGq/31DJ2ZXtalLIrcnZzhd2k6q5lZ0io8KrAC1sDB94nO2RTGwC9j7a0FV8OvlsE/AYAbCCYHxvFIf5/fJ85D86LITKALVdsH22ZhdsgNcEotxxwYU8QgJtGwYWCzxMV6qvixpaJMMuKS8m1Xnq1rFxWE86Hzz5Z1c3cE2ReLurC9w6vMbs9sCzwYohcUhZyuTcgTozv+GgvwWhT3FVea+XmJvbmblSSFqIKItgQmlRzc0rcOXk9Hf7TIg+6fiVeHnT9KtgyoPvy/Lz4tUId9kLVhVfXqDg8gWEzy8iM8Oq+Nn0EHaqqtB5qO8vr6IlBcyInqn+cBwuDq+3ItT2p+fDkQ40Ppx2pHkVvzByWqfcMtilPrOyeRPNiGwAAIABJREFUbU67uXXm4baOlQbAxhAoglB2eROWU9lFC5ZQ+tImMsSpu3gJCvl3GfBqCi+g16i8yOI9MFgHXz7IBrUX8KsBMNRfKMCA4TQHvg/nwXkl0AJqodqygTIVbAPv7VcHR9rqLcoepILrAFz8vUcBbtoXGpmsYFlVoNpHKLmm9QxKLmxMLCv363WZl17EiH12dUfTgndsfim9O2cgvTFzGB2pHmUNn/GXX0DuQ/0XWv59l60pbYtiUsuCFicmbU07y+usl99DVZX02vQR8d5c2JlE0sI3e3uHvblQc9l1X597PZ/LOPzyfA+6fiVeHnT9KtgyoPvHi7Mqn2MoTbsBuiZweY+9s0ACMUJJvboL+tO7cwbS0ZoKOjx1tLO7XiuRuLP75YmqgRvSwoCczEcHzDcRQnsqLqTnR0638nX5w+344r5mOO2zqztmtit57BjihH7ZVFV2Iz27zMYgYffUNxtDCk+uVoZYhfeTa9IBb+DlNUovG2Cz7A2AXq74/u5sHX4BwIDgNAe+D+eRUMvA1ii2HG6D1ATLdwvAPXRBOsBl9b0um0J9rQrYwZHFIdbwISA3zpPLldygFQ+Qixixv93Qlj67uqMZPju+uK/10svzcp8fOZ32VFxoogcBuQ+wRJaGtCxEVf3Cv39Pr2WhXR4MqvJ7weGpo+loTUXmpXdB/+TeXB47GFEQoYkacfd5bQgN/+aH/3ixB12/Ei8Pun4VbJkc3QO1ectUjPTqQtXBtqXWliZydT+7uiN9sqqbycp8q24ovT5juLPaE61H8uGGuLE4C0O+Uhjkw20Lg11eJrF72EzaN6qaXhgzxUQJvT5jeKg5DbFjX1x/diaJ4SfNM/482Bgcyq7Ts8szVQUg5WNIKTXwSg8vb1kLoPeLN2da4GvsDQJ8udpr4FcAsIFggDCOHe3DBwdWefDvDc6H83OgDUFtoNpaYCtsCX87OsNYE6wcXMAt8+AmBVz82+TDlhJ6YeHZyUk8uVzJhV3hZ0UZu8LaVpnGOxYjxpvPXp8x3EQOvjBmCu0bVW2Gz1AKwQdU5UtvvlIW4iwLP1YsC4gT41YmWRX++ozhZkD1gyV96JNV3bIvu1puLm9B497cwxPy5s2Nyk7/y4FaD7p+JV4edP0q2DIVwP93Rt4GFNQCCa7qcq+u0pYWytW9tj2dXNPZ6rF/Y+YwKxQeDzmu5DzYL7tduaHH8ti4sXyoONp2pYwSklPW2LJEOLxrOO3j5T0zvfY8doy3p8Uou6GcXcAuVwTzFDsVZ2fIFXit8glF6eXQaywOEnwD+LXUXxy7umcPwKrr4F/LzwGgBdRKsIUlQcKtVG5ZyUOugFsfm0Ii77WEXLzU8vg4BrmRSi5vPWMxYifXdKaPl/d0Dp/xEhm87D5WNo9+XXoJPdB3cShyULMxNeTuDuLEeNUvYgf5zs6+UdVWmcwbM4fRO7MHmcjBk2s6ZwdTZW6u0oJmeXO5mquIGfkYPD7yf2d40PUr8fKg61fBlgHdP0xTe8/rm61otjKh8shcXdmWpuTqIhz+xMru9OHS3qGaT1kNjMxMPOg0NUdaGHLN1pWZmZqaI4fTtoghFAm7SGLgsWPvzztfV3YxoBan7CJnN/DsmQdgoPRYQ2oJgDcXYEqi8CaGXgywMaXXCb8aAL9UnlV/AxDG8fX+AakO/r3mfMH5NaB1Qq1QbkPWhAi4zZdFIWqr2gm4bOgM1zheaM11znNy45TcYPBMKrnvzzs/FCP24tjJIcjFjs62fotMKYQcPpO7Ovm6/uMsCzxODJaFXeW1ZkeHx4nhJffDpb3pxMrudomMlpsrWtBC3lzU/UbY09J4c3mU5OfHFtGRP0zzoOtX4uVB16+CLQO6v69q0EEFazAl8Opi8try6j7SIhsSH/j0vrypDX1xXTv6dHVXa/sSgyhQdfaNqqY9FRdag2muPnu5bZm2zz7OwuB62PFYIVkm4RpOO1pTQe/MHqQqu5aNQVN2Wc4uhp2QvWpakgK4MlCVsBo2X8CrKbyRwBsHvcLi4AJfA784AKUchGMO/j38XDi/CrbSkhAHtykAt6H+fSKrnoN/B+OpDtoQkYlshgV5Tm6EkgvIlUruO7MH0dGaCufwmVYKgeve9ZKbq2UhSQKLK07swX4Z69ITg+bQzvI6Uw6B3RwMpHLb0qeru2YytW9qY/z5pjwGOziBN5cnrlhqbp4KIlwDx0d+X+VB16/Ey4OuXwVbAN3XnhsXGz2TtBY4lVcXD8Jd3bMPwW3FmcE0TF7f0tJqQ5JxY1B34NPDMIqr7tNlYfhBDhYGpDDIieuo4TRMXWMLk9cEc6/ei2Mn058mXWCGUqDwoFACA2ohZRdpDDxnd3tbe0jFFT/GfbsK8GqT+2lhKonCGwm9ScCXw6+m+jIINiCM4/CEdAf7Xn5OfI5UaznUJgHbKLjNl4IbpeKa2EAJuNyP64oP40OnaDxDTu6mrB+fK7kYPEMhBHZwMIT6p0kXmHZE7OLIet+tfZZYqSuu4TOZvJJLysLV7fRrnlsWtFpwblmQuzhqnNiNZ2aytDGEuqVJ1pu7o33Gm8sG0PLlzeXDxlERkq89N86Drl+Jlwddvwq2ALqvP1tpezbzoOo6vbosVxdT2JZXN9jSNP32eAhe145OXtWJPl7ek44v7mvVfvIMTT6YFhU3xrN18+HT0ywMWkXwBiWJQQ6nIUsTgylQedCOhKghPAQtZRcPQuTsokHtd2fbsIvqWFEbGxpSy3PZgHyIJgFey8srlV5pbwD0KuAbgl8GwCEQTnjI7+cqLffYhsAWcCttCUK55X/vSQG3IVRcq/RDGzpDux2qnDnkYuD0V82zObkbWE4uU3IBuRg+hScf1zmsSkhb0YbP7mV2Ja3iN5+WBenPR2ZukjgxOYDG68CPL+6b2b25qpOJFjz9k+aZYpJfMIuS8OaaFjRHbm6u3tzI+Mi3Z9Hrz1Z60PUr8fKg61fBlgHd3SOMqme8XMHDVtbEpq6HVLy61qBKEq/urS0sr65WDYyIIT59rYXFp+m3z1Xh0fx6ePitC4bTNjmG03hzGmpAD1VV0pHqUVahhGlPkwNqiB6L8+y6lF0Juw1oZUgCvBy6NJXXCb0O8NXg1wJg7RDwqh38XBbUusDWBbeKeqvZE+oLuDlbFVyQqyi5kZ5cRIiJwTMDuawQ4kj1KDpUVWnqv3nzmTZ8Jq9zreI3lyFUnqMdlbiiXec8ToynrfABNFn1a3lzb22RyJvLr2WXNzfXmndTEIFdusCy8rejM+j13SM86PqVeHnQ9atgC6B79Jkh2eEkh58r14pImav72fGlVvSQ8erCx7e9rdWQ9PVdTen0HSVWOxKvBpZxYwcqq+jZETOsbF05nLIhYZZmWs+eC3a14TS+panVBMvYsVcmj6XXpo+wlF2oPnJAzZRKoC54S5Psg5E1J/FiCZPbGgywGG9fgYA3DfQ6wVezOAB+cUgIljAsD8CqhFZ5yPNxmMXBoFZTbV3KbT7htt6AG3jtTbU3hs54EQRvPsSL6xZW68vLIMTg2fHFfS0l97XpI+iVyWPVGDFZ7ystStrwWRTkpvHkx2Voa9c3ymJ2D5tJz46YYV5kAbkYPOVVv8aadEcJfX1XU7sRcXtbqyDmqz8OtyIEzbXryM1Nm7Sgzl0Ew4dHnxniQdevxMuDrl8FWwZ0nx5kbpBRKkDSAgm1JpJ5dU1EFC+RQK6u9OpuZF5dVg0s48bg3+NxQ3gYIjgeFoa07UhptzSjBlRQBarVBEPZfXLwLEvZfXHsZJOx+9r0EUbZ1QbUTKmEy7MrYJfHj3HYjfXtOlIZGhp400KvBb4cfiUAcwhOe8jz8M9gn80V2zRw25CAG5mqEOfHZZBr4sM0yHV4crFLow2evVlbbloQX54wnl4cO9lSclH7/evSS9R6X1R/xw2e5jNSULYiwrLAi2JwXSNOkDci8jgxq+oX3tyNDm/uc33scoggms7y5jrq3ZPexyN35w5PoKNPD/Kg61fi5UHXr4ItgO4bO0rNlpfZuha+rvp4dV0DDBhM++rgSFMiYTx9j7RwVgPzuDFpYUC27v7R0ywPH5/GTtp3nw//HoddaWPgNcGasoupbKns4sGIATUePWbVBd/Skr7+WVE2cxPh8hFWBqtcgj00Q5m7BQBeCb0c0jS1V4NfDsAWBDMQ5ocFxQkO7Rz8M/hn859JQq329ybBtr5/h6kAV2bjspdTWefrtCqgBCbIxv76Z0X01S0trVpfGSH29qzBlieXK7k8VUUquVq9L+wKDX1dy9xsvMDydBXuwd8/epqamXtsfqkVJ+as+n2khfHcoxwCSSrmeo0ZLM7Fm2vdwwPrCmwrb+wo9aDrV+LlQdevgi0Dur/rG7pRSjVA83Yl3fay1IBPrrE8flCGTIkEFCEMr8hqYBY3dmJFDytuDArQSxdMohfGTKG9w2toV3ltKF8zaR1orpFj0sLAh9NcNcFa7NiTg2eZjF2p7Lqix3gaA8LlT99Rkh1i2dIkFD9mhtSEuotUAWNliFB3893IlQZ6ufKpKb5x8KtCcIpDO5cGtVGKrUu1zdffV6qGOsWLC6uCFR0GFRdDZzI+LLh2v1nfxHjtv7ypjZWu4IoQ05TcneV1VtU3jxGLup7l8FlaX64WI5ik9lvmZe8qr6W9w2vohTFT6KULJpkdGlR+/3VhPzNkauLEtKrf37TO7siwcghLqDi+NDtM6tiVi3spCgkVyq4cfh/e+F1fD7p+JV4edP0q2ALovvmbHqGtL+nVzVssDfPq8sE0Ey4fVQ3siBvjFobXpo9QLQxRKQzY5pQDK67Isfpsc2o1wetZxi5ix/CA1JRdTGkjeoyXSmCI5eRVnTJNStqQmrQysCY1dVBNqrsu727Khq76QFyc2hsFwC4Q1g4OrBq0aof8HBfQ5htso2wfiRrppBdXUXHVgTM0nUmrgjZ0dm1747OH/YiXQRyeOtpKV5BKLl5YefMhv461et9c7UhRUWJy0JRfx1rKgmZZgOcekBsZJ+aq+mXlEJb1TJT/5CUmUvHmQtl/8zc9POj6lXh50PWrYAug+9aj3bPDDK6J3RQ3TKdXV+bqimrgxHFja1uZuDFMab83t8zkbR6qqrSydVEPHJfCIC0M+XxAQgWSNcG3BxPaaZRdDLHwUom3Zw2m9+aW0fHFfemjZb3ok1XdTDQRHpqnb2uWsTFgGxRDasFgi1R3uZUBkUWhZAYo/9zOoERi5XugKg56k4BvFASnPaLOHQe2+f7zJ22gC2USs7plDIzi2rSsClLFxQApHzrbEAyS3tbMvJzimv1kVTf6aFkvOr64r3Xd8jIInq6QVMm93VHvW5/hs7gXVlgWolIWnhoyyxouPThxHB2qqsxm5rLIQBMnFsQFpooT4+UQMbm5Ufdtp0ChJOfgxeetR7t70PUr8fKg61fBlgHdhzqG4mmkVzfXXF11C4y1Kkmvl4kby9HC8PaswcbCwOuBeQpDVJEEf1DWJ2/TNaWtZewmVXZlGgNKJTC1/WZtOb03tyzr9WPxY3xIzVgZeJPar5qH1V20qeUKvDEKb758vGngNwqE83XEfW5D/Bnjotki2+aSAi5vOeMqLqLDgqYzWBW0obMTK3oYb/17c8vozdpyy1//4tjJarpCWiVXsyvkYkFyVXzzF1VXMYRMWcBuDCwLeDnludiJLQuu+zVrN9QsZ/XKzVW8ubhfv/VQRw+6fiVeHnT9KtgC6L79f9o7hxoa/MbJSiSccWOPtsxmcAYP0VNrW9HfbmhrBlrQmPbunIGheuAkFoYNioVBa1DKJV9X8/dpD0xeKCGVXZnGwOuCD04cR4enjjYRRe/OGWhl7VrFEogf40NqyNsV6i63MjiTGVx2BrwcBQNaUZW1DaXy5grA+ToK8fMnAVy8YFqlDy6bgitRgVsVpIqLa5MPnYn4MKsIIrhOEQ14eOpoOjhxnFXrK9MVNCV3g0PJ/TeHz74+ebmy/YxbFjaksCzwml9cp9iB+ezqjpkX0rWtzMuouTaDtBQ1Tkwph2goYcI1RPz2/2nvQdevxMuDrl8FWwZ0t57pjKnJx1aYM26Me75gYQh8gKZZyWVhCHx/GGwxSlFQD/zGzGGhFIY9FReqTUp8C1SDXa1M4oqzkk9sp1V2NziUXZmzy+uCsR3Ks3aRyalZGawmtfUZT+W397E2NcSQCeDVcnct4E2h8P5vgN7/V440cBup4PK6ZJ6moABuyIsLwIWKu7VJ5ndmUzYfF9Yil1UBQ2d8ePTgxHFWra+WkyuV3A05KLm5XK+yFELz5eLFVGs63FNxoZqywGt+TVoKGg5va+a2LATXIfzzIcsCe8Gs931as5o5YiHf3nqmB12/Ei8Pun4VbBnQva+VM3jcNdzAlYKkww2hqBpeIuFQCkKNacH2KFQjDLhgghu+v7fqhqayMCCeiFsY8hk0n1bZlZ5dnrMLpWhXeS09P3K6UYtenjCeXp0yxrSowf+H+DF1SA15u3iwcnUXVgYtmQEVwnJYLdhCNQ9eWXGbA/D+s0Kvy2aRE+AKBZenKYSGzQ4M1hMV+MAZU3G/Wd8km4+rDJ0hPuzY/FJ6e9Zg03aGRkPsujw/cjrtKq8NNZ5t67cokSc3H0pu0uIXWBZ4PGBSywJSFnjNL65J7LYYW5FsQHPtvIl7dFo1l3tzrbg5bXhY2Xl7+75WHnT9Srw86PpVsGVAd1MLZ5Wk5cPMoUoyFnZzsTDcl324yhQGPFTh/0OzErZFnx0xwwy3aIHzsjpUe4im8etK2I16iEZ5dmXO7uMDL6YnB88ykUX7R08zWbt/mnRBMitD4Ac0g2qBumsyd3MAXk3hzTf05jup4H/DkXSQLie4DdQ4TcHNCXDvY4C7jg2cBb75JFaFP026wGTkwlq0q7yWnhw8ix4feLGak+vy5Ea9jOZyjXJfrrw+XVXesvBlZ3md2XFBSgrKXpCygDhAA7lB7vU365tkr7+UloW0kMvvz3HV7eosRSBEvL2phQddvxIvD7p+FWwZ0L27JAOST3fKTvMGioFpyMpzALnzZhrkdRp/ICwMeOAG8UXwA2LghW+T4uEaZ2F4YtAcy8Ig83W1qKJcmpXypezyByq2R58aoicyyPgxDKmF8nZ5KoM2qLaVJTMEJRPfPt1JHVb76uBI84LEFV7Lw8tLJ4JtVgm83MubC/T+vwC+aVIitDIMK/uXF13g75VbFODBZYNmAJaQTQEvlihu+W2brBc3sCrIgTOeqiDzcTF0psWHyWSFp4bMMrYi/gLakEpu1LWpNRvK6/Le8y61LAuwFsVZFj5Y0sfYiaw2Q/jmcd0FL5jGOoSM6yDf2iVCNETBj1FzD47MpuM83Ym+3d6W3r67xIOuX4mXB12/CrYM6N7VJKMcOPIZ4wbT4jxgkbCbxMLAlAPLwqCkMHC/LpqWMNXNA+j3VFxITw2ZpVYEwwPIYfdmFlmUS8OS64EqlSNXGgPUoy3swYpt0h2DZtPO8jraPWymGVLD4AusDLJJ7aNlvaxUBhRMmMxdbmdwAS9PZ0AcmabwarYGDr0OlVdTeuMqcpOkH/w9YdaV9pC04pi3urnUW6c9IfDgcgXXWIR4moILcLlNAdm4QQEET1Xg+bi86ezVKWPMgCiGznYPm0k7y+tMqcuvSy8xL55IRdkYk64gldz6XJOy+eymTtlSCD4werej4vepIbNM5jUKXpCKgusPiSimxZD75X/hsCwg2zrGspAWcqU3N3IAzZV3/mhLevuuJh50/Uq8POj6VbBlQPfOxlmACbamQ1tkGHhgU725KAd8i0wdeEDEURBvZBrTsJWKae+tTUwKw9c/K7K8gUksDPADuvJ1o8oktOG0Qii7d7Ot0gdE1i58u3sqLjSwK4fUeN4uAuqllQFT31YyAy+ZQIWwHFYLXpBUhVdaGtIAr6L0xlXopgXfhj6Sgq0LbrlymxpwNYsCU3ABLOqw2bZiu/yBJyoEqSfSqoACF56Pqw2dPT9yutlZAeQiWeGBvotD12EhlVwMn0WVQrjycuGbT2VZgC8XKQtbm2TTT2AVYg1o5n7M48TEoHCuqThfnLo9nIoT3I8tSxnux8EL0dt3Nvag61fi5UHXr4ItA7q3/YvVoc6HHsywUYISibQ31kg/mJzudaQwYOKbB9PjwQtl6d05A80AzCuTx5qK4GdHzLAqgjGcxqe77zp3hYFdWROcTxtDVBoDfIE8r/Pe8y4NJTLAygDfriyX4Hm7PJXhw6W96cTK7iE7Ax9Ws4AXNcIceKWlgSm8VkpDlI/XBb0K+EbBbxQAx8FwPo4kpRRa+1qoiliCbRzcav5bnqLAPbjSosABN6jvlYArExVgUzixsjt9uLS3laog83GlVQEvmdyPi2vvXpFvDb98knSFfNgVtHrfO7tnrj+ZhsJ3VXaV15rhs5cumESvTB5rBkPfnTPQ7KSE2s8AuZvcKQuhNJyYuYm8xImJAbRTfx5jDwn/7uzMM2NbMb1927940PUr8fKg61fBlimMuPVfslvTjuaduBKJtD3qUSrCZ8eXGj+heVBHpTD8orH1INYsDO/MHmRldsLCoOXrym3Tu0RzWpSalCTGKK2yKx+2G3teZvyBPJEBHkFtSI3DLhQmbmWAuouoI5PMEOTuWq1qm9iwGl6QgmpSrvDCw8uH1pzAq3l56wG9Wl1v2kazXA7tM6JqhXOCW8V76wJca8gMHlyu4KJqOwAWDJt9u0m0mwW5uNg1QX41V3FhVcAOCodcbegMHnmerACf/EblJTPfSq4WI6btqvyUJSxw+5CWlwvLAs+2xkul07JwV4RlgaUsnDp0gSlqMZaFmN21JKKDWvUryyFczZWBteWtWz3o+pV8edD1q2ALoPvmzWzLTE75Bl5dc5PNgy+MK1/Om6xry8yVwrBB+HWvPzvjGVzZnY4v7muijY7WVBivIB9O21leZ3I7H+q/MJTEwGE3KnYsX2kMfBCGb5/+VPgENwvfrrQy8LzdA5VV9PKE8WZQDakM78weZGLIEgEvT2fY7LA0cIUXKQ2wNbigVw6wSaWXg68CvxoAcwiWIKzBcH0PeX7+2fxnsoBWg1oH2BrlVnhvNbi17AnIwoUHV7MobFbSFBIA7rH5pfTO7EFWqsIrk8fSyxPG04HKqlA+LrcqcD8uz8jlyScy01oqufVJV4iLEZOQC7vCQ/0XmlzrneV11vAZvPG84vf44r6ZeL81nY0fPuTLTZKyoFjINLEhp+FgZV7CEhsODA7ff4Pfmzdv9h5dv5IvD7p+FWwZ0P0Ru9nKqkl4w7QSCXaj1QbTooZ0nJO+aVMYhIVBixxDWD0ijo5UjzL5ugcqq8xQDKKN+AMYCpOrhemGDqtzzthNouzeILZRf8xgV/PtctiV5RJ4EMM7CCsDCibem1tmJsI/Xt4zMxW+pjN9fm17e1iNZ+9KhRcDa79pbTy8ZmgtBfCGlN4k0BsFvgJ+JQBHwbDrcH2//Bz+M6hgmxZuWXJCKsDFNQMFl8WFQcENZeJi2Oza9nRyTWf6ZFW3bKLCgv703twyUwABqwJPVdg/elqoBEJCrubHxUsltwvxay1XJTcqKxfDZ662wnvFCyUi/jAEimvrUFUlHakeZaL9UNritCxsZpaFtCkLKRNwNDXX2MdkiY+0j+0fEK5mD3bU3vxRUw+6fiVeHnT9KtgC6L5xfXEWWBxeXV4iYVTdADByiRuL3TrjjWlpLAx3ZduZTGta4CE8Nr+U3p0zkI7WVNCR6lH0p0kXmLB6LV/3of5Zz6Arw1PGjmlJDPlMY0ij7KJc4qkhmYextDJAeUKb2tuzBmcydwMF6qNlvYwKJb27X93agk7fUZJRpDZkvJzfbg78u9uKs1uwEnh3dY8G3j+PyTauSeDVoJf7eqPAl8FvCIAdIJz4UM7FP8v6GTSwZX5bFW4VwDXpCVGACyjBkBkH3G3FmX+rzUFcGHZE7igxw2bci4vdEbw04lpCqgKsCqjy5VaF3cNm0lNDZpkSiDRKbj7TFeISFlyJJ0hY2NpniUk7kXm5KG3506QL6Ej1KDpaU2GuJXjgrfYzLUosgWVBExmSNqAlihMLRAYrTizYTdO8uXhBeuP6Yg+6fiVeHnT9KtgC6B69toUBFgMqUllAiUQQbROa+FVgN+6GizYetR7YkcLgtDBsK7Yjx25rlsnXvf5s09Ak83URXI9JcPgH5RS41srEh9OSxI7l4hvUHsTYVo3y7WJ7FR5CNDUhlUFaGVAwwZMZUDJhgDeIIgPwIvvTlE1oCu/WCOhltgbp5T39UrkKvkngNwTAGgRzEOYHB9I0h3Yu/lkcZiXQJoBaFWz5cBm8t1BvUfQAuMXLIOBWU3CDYc5TN7c2aQoGcIPIsOOL+5ryB56owAsguFUBqQpoIoQHHragKD8u7EHai2Qufvg0MWK3dV2pthPKlBP44JFwgutI5uWikfCL68/O5OXC/iN9uYplITJlQdT8prnnhiBX3nODiEerHILvpAW/S3hBOnqtL4zwK/nyoOtXwRZA9/WrW5phI5dXlw+mWepCjnFjaS0MGLQJWRhkCgP8urAw3NTGbLvyimBXvi4fTtteNtdMg/Oa4PU9lkf6B13bqvVNY+CRR1x54okMslzi4dIFZptV+naRygAl6lBVpSmZwKQ4htXQqoaQe5O9qym8KJzYLIAXHt4o4EXjGk9sCHJ5DfRqFgdmczDgGwW/HID5wQE1yaGdg3+GArUGbJkdwWVJwJ+bw+3pF8rs9IQowOUeXADuRubDlQouMnGD8hW0m2HYDAkmKH84VFVpdkaQqiD9uLADccjFiyNPVuA7JTzKr77pCkkKIaQPHtnVvN734dIFlv+dD5/JvFyr4jew/6CF8OufFWVeCIUvV6YswLKQJPEml/ttZJwYdtHYAJrmzcWw4utXt/Sg61fi5UHXr4ItgO6yFwJ8AAAgAElEQVSRVUEz1h0lWUARW2lmMM1lYWiIm6+jSMJSGaRnDH7dDY3NQ5zn655Y0cM8tDE8g4xPOZzmqgmOih3Lp7KrqU/cyoCHM3y7slwCqQyIQUKbmiyY4N5d5O5i+5VHkQF4P17eM2RpkArv6TtKTEqDE3oVL++3T3cy9gZL6RXga9ReAb8cgEMQzEDYgmEGxDkf7Fz8M7hKa2BWqLUhqBWqrQFbrtzu6p4BW82aIOFWsSdEKrgruxsfLq4VRIbB9oNrhntxZQEEbznDzsi9SgkEH/K8WVgVXNdSPu0KrhixqHpfOXx2qKrSDHfiWjEZ1Swv9/QdJdldDxkltqu7unsmB4AbUlQIWRb4ABq3igW/U6fvKKGvbmlJR1ad6UHXr8TLg65fBVsA3b+sOEuvoJQ3YRZabsWNOULLk3rG5HZaThYGxCT9qrnJAIXagIc5JsYxLc7zdTGc9sKYKeaBjeEZ5Hxu67dIjR3TCiVcym59hmZkBJKEXVkuwSPIoEjBysDVXe7dhTqFZAYeRYYaYZO9G6XwMktDyMfrAl40rnGlV3h6ja83KKVIDL4Mfi0A5hDMDw6r2qF9Dzsn/yx8fiKwDcocjN9WeG4t5RYNZgkBF0NmX93SMlLBRSYu6nt5ZBhPVHhx7OSQF5fvhsCqwCH3nl7L1BIIDXKvFXaF+r4wSiVXFkJoMWLYFUHCAq6Z50dON153vBjyvNwPl/Y2ySWm4he7ZsiixuAvFxNSWhbS2MScMxHiHgurTGgADTtnSgX7X1ac5UHXr8TLg+4/6HrkkUdo+vTpdM4551BxcTENGDCA/vM//5P+53/+x/q6e++9l3r06EFNmjSh0tJS+t3vfhc618mTJ2nJkiXUqlUratasGdXW1tKxY8dS/0wA3VeXts/6x+4osSeBsa32dCenhSFppmO91AZlEtjKdUTw/W9aZxSHLU3U4bTPr+lAn6zqRh8t62WmxjFMgwf4C2OmqBm7+VB267vlyq0MrrxdPLB5KsMWBXgxNc6Bd9+oagt4uX/3jZnDzCR5nMLLUxpCKi+iyeDlRQHFgyW2vYGDL9Re2BwAvwBgofoaAFYgGMeXhydkD0Borgc7F/8MCbMW0Aq1Fn8e/PkM1EK15WALWwKSE7j3FhFhdwn1lsFtnIKLhBJcG9yHC8DFNQLARWqJBFy8HAJwtRIIHtcXZ1VIG9tXXyVXy8p9YcwU80KIawOpJR8t60WfrOpmXv5Cw2dbguGzIHvaZE7j3qol3DSwZSGUXS7vrTzOMWikPH1HiZmDeHVpew+6fiVeHnT/QdewYcNozpw59Ktf/Yp27dpFP/zhD+m73/0u/cd//If5moceeoi+853v0I033ki7d++m5cuX0/e+9z3av3+/da5JkyZRhw4d6OGHH6bt27dTv379aMCAAfTtt9+m+pkAuq8s6mS216xsR6k6BDWvsZE3oqUnLtcxrxYGPhEcKFpQsr68qQ19cV0783D/YEkfk6+L4TTenMaVXTzAeeyY1t7kUnbzNUTj8u1qsItUBmll4N5dru7uKq81FcL7R0+jF8dONkUTUK3QrBan8HJLg+XjlcC7UQFervRyT68GvdzmoIEv4NcBwDgMCOd48HOpQBtArQq2zI6gwi333HLlVgLuRgVwmf/2bze0NVm4SRTc12cMN7sdKH54cexkY1PYU3Eh7SqvDWXjYvdDWhVkqoKE3CR+3HwMdbqUXN46iPQSvBBKJRfNZ9bw2fzS7PDZms6ZlBLk5f6sKLujwZJtTDlPA1sWQg1ojjZKaw4iqIf+dkd7a7fMDPz+pLmxhb2yqJMHXb8SLw+6/6Dro48+Cv23ZcuWUatWrcz/7tmzJ82dO9f6moqKCqqqqjL/+/e//z01atSInnnmGfPf/vKXv9B3vvMdevjhh1P9TADdP8/vmpkKvq6dsTAY1Y3nO2JYogEtDImKJOAjw02ZTwVL9YGVSSD8/ovr2mWSGIKHPALveewYz9jdU3EhPTUk2+SE9jRZKJFE2U07TBNVLAErg1SpkAMKpcoVQ6YNq6FCmAMvBtYOThxnWRpcCi9SGj5d3dWCXqPyonziJ83tAbYNjXWlF8kN0ubA4TewO4QAOIDgEAgHMIzDQDE/AKjyUL6Wn4tbDgzIAmYl0MKGwKFW2hGQmKAptxvswbLTP2meLXkIMnCNesvg9qNlvWIV3Fcmj6WDE8eZQTMJuIgMk8NmrtgwXB/IodZKIKRVIdfrJCq5RFNyN4o8aux6PDFoDj01ZJa5HnilNnzsKFzByx6/l351K0u0kcNnT3fK3k+DYh7TFoiWwAQtlA1mWcCwL8srx24BLAu4l/55flcPun4lXh50/4nW3XffTY0aNaJTp07RG2+8QY0aNaLt27dbX7N+/Xpq3LgxnT59moiIfvSjH1Hr1q1DloeysjJauHBhqs8H6L48O9uEZcLMZdzYoy3D2boHRzrVh7SNaZEWBqgPMl9X+HUtBQI3561N7OG0W1oaZQvDaccX9zXDaWhOA+z+YfRUen7kdPNgT6vsutqccoXdJOUSLnWXWxl4DBnP3XXZGRChlEThlZYGqfJawHtLyyzw/qzIUnpN8xqgd6uwOHDFVwPfQPk18AsAViA4BMMJD/n9FswGQGtBLZRaDWy5YgtLwtYmWbhFcxlTbr/+WVEWcIPhMifgBjm4ANykCu4fRk912hR4Li6PDdMKIKSKm6QEor6QG9cyGKfk4sXv+ZHT6Q+jp1pV2kdrKszw2fHFfa3hs7/d0DY74IvhM8w9ILoRO2TBkK/ly+V5ucouWX0sC1oDGnbJQlnlvzs7G9/I4sRQyoO5h5dn9/Cg61fi5UH3n2jNnTuXOnfuTEREO3bsyER9vf669TXPPPMMNWrUiA4fPkxERBdddBGNGDFCPVd5eXmqzwfovlTXmz5e3pM+Xd3VlAKELAzbitNbGPLoJwv5dR3DaeYGzZMYUG+qNKchduyDJX3o/Xnnm9gxaWNAZJKm7MoBNansyga1+sSPxam7sk0Nmbsyhox7dznwYro8DnijFF7esiZVXrStoV74i+vPztgb4OflSi8H32CYzQm/UvV9tKUNwQBhwDAHYkAxPwCmrkN+PT8Xzo/Pw+cDZiXQQq11Qe0GB9jClnBTm0xyQtBgBu+tpt4CblHZ61JwkwAuSlUAuNyLq8WGyZc/18BZfa4J1wugzMmVSi52OaSSiyg+aVdAjNj78843L3Un13R2N59tZTawoCkwVAqhDZ/lWzRI0j4pLQuAXGFZ+OK6dvTp6q708fKe9FJdbw+6fiVeHnT/SdZzzz1H3/3ud+nnP/85ERFt27aNGjVqFLI4HDhwgBo1akT79u0jIqLx48fT1KlTQ+e74oorqEePHpGf+dlnn9F7771nDpz7QE1fk5OK9h5LjcCN+pEW1pabOiHcgNttpr0nUCJ4vi5qKtUkBn6jRhKDGE77eHlP+uvCfvTe3DITO3Z46mjz4Ed7GpRdTJWnVXbzDbtXimEbDXZd6i4e8pvZli2PIkON8FNDspFKaIHCwJpUeFXgZSqvCrzXdMj6eZnSa3l6g/QGHllmbA5R4Av41QAYB0CUw3DSg38vP6cEWkBtBNgaOwKSEu5qmk1LYJ5brtwiGuzzazrkBLiagoskBZQ+7CyvMy94+L1HZBgsPJt7L7ViwzQVNwpy8XvcEJCbVsndXjbXKLm89ezgxHEGct+qG0rvzS2jvy7sZ+qyreGzIGEhJBQEu2JIWOAWMCsvN7iHorGvwWxgWpINt4A90iIrFLBdMdM6GeQsH6jp60HXr8TLg+4/wXr33Xepffv2NG7cOPrv//5vIioM6P77v/87NWrUKHTsn3o+HVvQnz5c2ps+Xd1VtzDIIYqnOzlrKmUKA27UUo1IcqO2Isdwo9a23QLYVZMYkP3IYfeOEjq1tlXGxnBNB/p0dVfT/oTtXN6elkTZjUpj0CbLc80HjRtUc2Xucu+uC3ihbCGdAQNrTwyaoyq80sOLbV3YGqKg98OlvY294dPVXW2llw+y3dzapDc44VeqvgBgDsEAYcAwgBgHQDTtwc+B8+JztgiYVYDWqLUuqF3bKgO2wUDZF9e1s5TbT1d3NckJHy7tnQhuYc+RHlxNwQXgwocLwIUP1wW40our/e7n8rKXJm9a2ni0dIUkSq5sPUMhxEfLemXsCtd0yMSIrW2VHbbkCQuB9SuUXsMSFrThMw65GOxNA7nYFZOQG0pZYJYFc9/kQ72KZeHT1V0zMw4L+tP+qed70PUr8fKg+w++Pv30U+rXrx/179+fTp48af57IawLLkV3X9VAo06g6tWqq5Sd7LIe+KVyOxKnASwMal0lH057faqexPB0p8zPqwyn8YGKz67uaDyMiB3jNoa0yq7M2dVgtz7KbhLYjfPuIncXW7hRdgZeNiEVXpelAcALlRflE+/OGUjH5peaimEDvIHSy4fYJPTC4mDZHFzgy+GXA7CE4PsEDKc9+DkYzFpAy6DWBbbcjgBLggq3V3WiT1d3NcotABcVvcfml9K7cwaakgep3rosClLBlaUPLpsCfteRi5vEi1tfyI1TcqNi93gKSVol13jRgxixEyu7G++5ySLXhs9+28aUociEhdDwWUSter4tC4hqtNomMePwYImdmctr1YNqaOyC7asa6EHXr8TLg+4/8Dp16hSNGDGCOnbsGLohYBjt8ccft/77z3/+c2rcuDF9/fXXRJQZRjvjjDNC5x44cGDOw2jPjh9qtuJUCwMPOoeFATfupCkM+bxpu4bT4mqCoVDcF8SOrQsXSkDZ5e1pfEAtrbKrBePzh39DqVu5Au8GZWCNWxo0hZenNPAcXjStQeUFLKBx7e1Zg+ndOQPdSq8Gvtd0MPBr+XsD1RcALCHYgDBgOABiC4oBxmkO9r04nzl/8Hn4fA6zHGgtG0IwRPb5te2zdgQH2Erl9t05A81g2dGaCvOSJtVbnoMrY8KkgistCvcqPtz6Am4+dzH477irSCWtkisHz/66sJ9RckOFEOuaZmLE7mM7YDH1vgZy8zx8pooDcSkLEAZgWWDFO5plAVavZ8cP9aDrV+LlQfcfdH377bc0bdo0at26NR06dEj9mp49e9L8+fOt/zZixAg1Xuy//uu/zH87cuRIveLF9lwwjN6YOYzemT3I3MStfvZbW2RzIO8L1wPLFAarHjhBBmTabbjQ5DAfTlO24kzGLr+B8+04FjvGlV20p71VN5Remz6CXp0yxqns8jQG2aCGqlPALrZz85UdmlTddeXuAgakneGeXsuMnQH5u1LhBSBwSwNiyQC83NZwqKrSDK8BeGFtQEwZH2Lj0GsSHNZ0jgZfKL8cfgPbgwFgQDAOwCgH4piDf491ruD8+DxjP2BQa5RaB9gar+3K7jrcLuhvYsFgTQDgYrgM3lup3iImjFsU8MKmKbj3M5vCPb2WhWwK+L2OysVtKBVXy5TmNp3blWpsNJ5p6QpSyX11yhh6bfoIE6OH+6NUcq0Ysc1CEECzpMPqZSA3QWJNLvdKze5lan5lygKv+YUg8LOiTJX6TW3o82vb08k1nc398Z3Zg+iNmcNozwXDPOj6lXh50P0HXcuWLaNGjRrRnXfeSfv377cORIc9+OCD9J3vfIduuukm2rNnD61YsYK+973v0e9//3vrXJMmTaKOHTvSI488Qo8//jj179+/XoURz4zObGui3UdaGAzs3hWoFVuEhYHH5DClwrIwiMGKXG/goeE0uR0XDFfwrnY1dgwNP7JQ4vqzTRwTBtTSKru8QQ1wwMEAUJDPRIa03l0OvLxGWPp3N/RYTvf0WqYqvPDwIqWB2xo49MLaAC8vGte4vYErvSHwDdTe44v7GvjFUBvgFx5fAHAIghkIGxgOgBjHqZtbhw8AKgNVefBz4Lz4HICshFkOtEatDaD2o2W9DNQeX9zXqLYusEUs2KtTxtArk8eaBjN4b2FNgHq7e9jMkD0BMWHcg8sV3Ht6LaMNPZarPlwMXHLAzZcXN9dkhR+L32O8tMnGs7RKLgbPTl7VydwbQ4UQPHtciRH78vCEyISF+g6fcV+uGeBl98hQBrm8P2KeYWNGzQXkapaFN2YOoyPVo+iZ0SM86PqVeHnQ/QddnTt3VgfBGjVqRG+99Zb5unvvvZfOPfdcaty4MfXv3z+yArhly5bUrFkzmjlzJr3//vupfyaA7pMjxtChqkp6bfoIE5nz4dLedGJl99CQhRWXo6QwwMIQ1dOe65ac2u4jBiyk9wzDaZZiERU7BtUigN0Pl/bOSdlFeL4MznclMkjfbq5DamnUXW1YjdsZeNmES+GVlgYNeKWXF8DLrQ1c6cUQG+wNgN735pZZiq8EX6n8cvgNAXAAwRYIBzCc6mDfi/Ph/BbQOqD24+U9dbANFFtYEt6ZPcjYEt6YOYxenzFcVW7/OH5iCHDhveXqLQBXWhRcCi4vfZA2BW3YLB8qbtzQ2bXK77CWrMCLUlCSkouS++HS3gZyzW5XVIwY2/FS632FEIDhs/q2SsZZFpCyYFJqXCkLqPllQ7snVnanD5f2NlGMr00fQYeqKunJEWM86PqVeHnQ9atgC6D7ePk4ennCeDpUVUlHayoydZYshQGwG4ocU1IYzA1d25pz3Mxz9Z+5pol5NqQVm7O3t67sBoUSUtmV0WNc2ZVpDFDLUIeKnNEH+y00VaiAhqhEhnxZGZJ6dyXwwtIQpfByDy9vWeO2hsfKMmrZjkGz6cnBGeiFlxfQC3uDC3z5MNvRmgoDv2/VDbX8vVB9OQBLCLZAOIBhADGOT1d3DR0n13S2Du1r+DlwXnwOQFbCLAdaqLXcZwvF9o2Zw4wdAaqtC2wRC8bhdld5Le0sr6MnB9vqrbQnIEVBenBdCi734SYF3Hy9rMXVX/OM3Ht6LTPV13gpe6xsnqm9hrdcpiu4lFxEiFlKLgohFCUXMWK4J4YyxyMSFuo9x4D7ophjwD0RAoArZcEq2AmSaZCy8PaswXS0poIOVVXSyxPG0+Pl4zzo+pV4edD1q2ALoPvboePNTf616SPozdrybNtP0Nv++bXts1PFUSkMokgizsKQVLnQtudCE8WOmmAzVRwRO/btprCyy20MUtmVaQxoUINq9sSgOfRY2TyzFcy3gTnsIkyfg0NDb/tq0OCyM2gKL/fwSkuDBrxQeeXwmrQ2cE/vyxPGm/QGCb2wOUjwDSm/AfxqAAwI5iDMgTjJIb8P58P5Q0CrQC2UWgm2UGw53CItAbYEDJVxa8Le4TWh4TJpT5CAKy0K3IMrFdwom4J8OWto+40crMTvqExW2NpnibHa4AUMnnI0nmk5uZqSa6xcXMndFB0jhlSayHrfiJ2uqHui3OlKbFlAMURUykKQSgNf7omV3U2L5Ju15fTa9BHmZf+3Q8d70PUr8fKg61fBFkD3kYGTzc3eZWHQIsdCKQwYugi623Fzd1UEp/WixTanyZxIkbHrLJQIbvBWVTAG1BzKLs/ZfWXyWPrj+Il0oLLKwAYgA1vDiB9zJTK4rAwyb7ehgFcbWItSeAEUUHhha5A+3of6215entgAe0MU+HK1l8Mv/L2Hp45WAVhCMAdhwDCAmB/H5pemOuT347z4HICshFkNaJGQgD8foFaqti6whe+WJydw760Gt7AncGvNnd0vj1VwowbN8v07GpUNDatCVLICKq63l801L1v4XTtQWUV/HD/RNJ4hJ9el5GLwLFTt+2CJuxDCdR8UO1xpm89iZxdc98EDgzMv/dqQ7iZHlJjDsoCX/EcGTvag61fi5UHXr4ItgO5DZVPN9h38aTKF4ZNV3bId7rjRb0xoYXD1t+dYbRl5g+eeNK7sYsIYsWMRyi4KJawhjEDZxbSxzNlFsxRimzDws2PQbNpeNtdS0aRvlw+pccUsn9mjEiSS2BnSKLwu4OVpDQBeZJZKpVd6egG93OIAxVcDXyi/HH5dAAwIxgEY5VAcdciv5+fC+TWglVALpVYD2xfHTg5ZEp4fOd3y3O4srwspt8h2loB7fwTg5qrgxtkU8ukrl0NnePmCtUbz42J3YXvZXNoxaLb5HUMMHpr9ZE4uv+9ZSm5w7zMv+i4ll8eIyaxcZWYhry/8WvQiaz+LtCxszL7o/+2GtvT5te2t+x5SFjCnANvWQ2VTPej6lXh50PWrYAugu23ANNo7vIb2j55m1A1pYfh4ec/MDZ8Ho7ssDI4UBnXLLp/DFzFJDFbsGC+U2N4286BCVfBGBrtiQE2WSsDGINMYNM9uGmV3bYo2qVxjmiRUJPHv5gK8GF7jKi8G2LjKiyE22BsAvVzp3T96mqX2auCLRAcOvxyAJQTjOFpTkdPBz8FhlgOthFp4bF1gixgwqdzuHjbT2BIwVCbVW7xUIT3hfuG/TQu4cT7chvp9dCm5a1MquXGe3FenjLFqfXkZhBw8M61nSJ/ZVpy5d2AoF4UQPEaMD+aKIp36+HLjhnOlhSsyZUGxLHxxXTs6eVUn+nh5z5BlAbtY+0dnnh3bBkzzoOtX4uVB16+CLYDuf/abQTvL62jv8BrzAJAWBuPXDdQN1cKAQQxYGEQDUNTWXT6GMEKqhjJtbJRdtKehUELz7CoDarxUgtcFH62poCPVo+iVyWPp5QnjjQq3d3gN7SqvpScHzzI+Senb1YbUZH1qPoP3OWBwFS2twuuyNPDyCd64BqVN+nkfLl1geXo5+EqLA7c5SNX3D6OnqhDMQRgwDCDGAQDlgBx1yK/n58L58XkAWQ1mJdA+O2KGZUeQlgQJthgq06wJvKIXDWa85MFlUUir4MrdhXwOS/KiE1ljrQ2dST/u4wMvpicHZ5IV8DL/wpgp9PKE8fTK5LF0pHqUGcCVtb4ozVEHz6SSywsh8IIfEyPGd7MaYijXWBa0xkhYFpA+o1kWghd7QK60LLwwZgrtHV5DO8vr6D/7zfCg61fi5UHXr4ItgO7mPheah8G+UdV0oLLKbOe9WVtuKlvTWhisTncoG2/ObLCAdPWmr1VeasoubvxM2VUH1JRSCZnGwD27+0ZVm4cBvJM8a/d+URssyyW4bzffsBulqNUHeG8XwLteAV5ubZB+Xgm93OLAbQ5c9YXdQcIvV4ABwIBgDsKA4VwOfg6cF5+DzwXQSqiFDYGrtdyOIC0JGtxy5ZZbEzjgrheAe3s9Abc+NoVcIZc3nckSiHtZ5B3PyEXix97hNebexj25WuMZL4NwDp5ByZUv9lLJjYgRc73c56VA59gi+34XWBYsy1ZCywIqpd+sLTc2Ldzb8BK/uc+FHnT9Srw86PpVsAXQ3di7zgxq7Km4kPaNqjbbeiiSCLWmXdMhWyTBu93xABBDGSG/bsw2Xq5etRDsau1pSZXdrWFlV9YFf7y8J32wpA+9P+9841+D6nFw4jjTRoViCe7blVYG+CZl3q6rVjVfyQxpFF5sJWtDazyLl0MvPJR3KfYGqfQCfJHRC/CFt5fDL1d9ofxyCJYgvHd4jVGCAcQ49o2qNgeANO7g38PPhfPj8yTIcpiFUsvVWgm1sCNgJwCq7f2KcittCYBbNJgBbnkGrjZkht+tfCq4aRIVXHXVPB+Xl0DIoTPux312xAz6w+ip9OLYyXRw4jizW4X72vvzzqcPlvShj5f3DNf6SiV3a45Kbh5ixHIpzgnFK2IIFy/099kNkV/e1IY+v6aD2n52pHqUsWftG1VNeyouNAO3G3vXedD1K/HyoOtXwRZA9+e9LqJHB8ynxwdebFkY/jh+ouVfS2Rh2MIC04WFQR3M+GhVvcskEmVJaoUSLmUXnl0teozVBfM0huOL+9Kx+aUmjeFI9SiTMfni2MmmdpX7djnsuobU4qwMUZm79QHeXBReCbzw8vKKYZfSy6PKXNDLFV8JvnHwCwCWEIwDMMoPgKo8tK/l5+IwC6CNg1oX2EKx1eBWem415VZW9Er1lgNuQyu4USqu/H1yWRWihs445HI/7v7R0+jFsZNNVjhe3t+eNZiOzS81MwgmXYHX+roixLa3Ta7kRswk1OeFPlQKIX258mUe9zcU5mxJZlngcwgYuMUu1eMDL6ZHB8ynn/e6yIOuX4mXB12/CrYAuneeO8c8KKCE8BQGV+QYPGyn1rai07c1o2/WN8kOp/HgdOTryuE0LYkhhwdBIthlcTuxyi629hA9xuuC12UfCghSRy3mh0t707H5pfTe3DJ6s7Y8NKR2oLLK8u3K2mBsQUsrw7oE6m4+J+A1hTfp4JoGvTcL6L1NAd/1gQIpwXezgF+ody4A5hCsgTBgGEDMD0CoPJ4aMsuCVHnI8+D8+DwJshxmXUALlZ9DrVRt8fvBB8o05Rb2F7wkJYHbqN+hfAKuZlPQVFye34wXIlheZJ0v9+Mino4Pnb1ZW54ZOptfmrmXBXXnpgUSL+/rmtq1vixCDG2QkUquUgiR93ublrCgDZ/xvNzAl/vNL4L2s9ua0am1rcwMgitKjKcsYGcKL+p3njvHg65fiZcHXb8KtgC6t3W/mB7ou5geLl3gtDAgY5JbGNCaZvnYYGH4ZVN7GnlPj2x4etAQZJVJ5GE4LU3Gbqyyy6PHeF1wsM13+ifNzcMBrUEnVvSgD5b0oWML+oeKJRA/Bm8brw1GuQSm5TElz1MZpJUhKnP3X9tHbzUnhRQXqCQBXkzJJ1F64bnEcBG2pqHcwdvrAl+p/HL4lQAsIRgHYDTXg5+Lw6wEWg61mlKrgS1+D6D0w9qC4UV4btMot0kAtz4vSppNgf/ecBuMlo0rrQo8VQEpHkjvQAkEr/PlflweH4YiiGML+tMHS/rQiRU9zH3MvLT/pHnWjsVrfXmEWFolN4c5hFwaIU1JTlDx+/X+AXbF76MtM/fm+7KWLJMsE9zHpGWBt0BKy8LDpQvogb6L6bbuF3vQ9Svx8qDrV8EWQPfWrvOMQoLMSWz9cW8btvyQMwlP2xfXtaMvbzwzuxWmn0YAACAASURBVNWXZDgtYYh62tix1DYGl7LL/Wy8Lpgru0EP/Jc3nhmKH5PFErAywLcrI8jw4PjN+Xoqw90R6m5a4C0k9CZReuPU3ruY4rtBqL5S+QUEc/sDQBgwjAOwCTCWB8BUHtrX8nPxz8Dn3i9sB4BZqdRytRY+W5cdQaq2XLmNsiUUCm7TAq5Lxb3bkaqAPGYMKPLoMO7H5VYFOXRm4sNuPDMDuXeUhJVc7E6xuYNESm6e7ApxMWJaKUSS4TNYsb688Uz64rp2ZuYAOeG4b/FZA9yvkA2OHahbu87zoOtX4uVB16+CLYDuzV3m0z29ltGW8y51Whi0yDEoIphQNmpIknxdmcSQx+G0vCm7eEjsaJ/1tW1tklVDAm8b+uC/uK4dnVzT2aoMlvFjCFpHoxAUEqQyPD7w4shUBl4wgfpgLdQ/34H+cZYGF/Bq1oY4T68LeqPAV1oeAL8uAOZqsDweSHho38vPrQEtV2k51EaBrQtu45RbzZqQBnDzAblx7Xsym5kPL27oEZ2qgOiwneV1ZgeK1/miNprHh1mVvms60xfXtcskyNzS0swamF2prWzeYEd7uwyiAEpuquEzkbCQOC93batskkywI+WKEtMsC1uCF/Gbu8z3oOtX4uVB16+CLYDuDZ0uMVPM9we+N4Ss86llDHMgkufY/FL6YEkf0x5k+du04bQd7embnV0zsOtKYojJmiyYssvrgvnDAqrIfY3NAwPbf3JI7cSKHpkhNWZlkBFkGFRDKoMcVHu4dIEzhuyuegJvfabn00IvB5048I2DXw7AXPnVIFiC8N1CDeZgLI/NjsP19fyc/LM4yGowy5VaDrRxUBsHtvzfXRssyyfcJs1jjgPcuxQvLgAXzXp84Az3JwycadFhsCocX9yXTqzoER46C2xX5gX9PrYbxV7Sea1vIZVcNUZMyQjnCQtfP9cnsyPFX9KV4bO/3dDWtD5+sKQPHZtfau5TGKblqTEov3mwX8ZihZSYGzpd4kHXr8TLg65fBVsA3es6LqB1QfC6y8Lw/MjpIQsDHiBmYlnm625g23+PtMhOKmtDHK7htIgkhqQPi5yVXXjcYGPgsPvLppkWNQx0iMpgGT+GLErUBvNyiQOVVeZhEmVlkN5deDVl7q5rWE2mM+RD4U0CvHFKr7Q3uKA3Dnw19Rfwe5eAYA7CEojTHvI86wXM4ljnUGnjwNYFt9KWEKfc5hNwoxRcmabgGjaTubjwZksvbpRVAS/hByqrrBII1PkiA1zGh8lKXzNIu6VJ9n4FyIVdIZgxqI+SW6+XdFe9r5awgLjE7W2z96tgxkDLy/14eU/zQi4tC9xiJS0LG3teRuvOXUHXdVzgQdevxMuDrl8FWwDdq89ZSLd1XUnrzl1Bdwewiy1CDHnsHjbTqCayTELN1+XDaRx2f9smO5zGkxigjsT0wddn+y8yjUHJ2T315zFG2TXbgFr8mDKkhofIyTWdzRQzIsjemT3IVGkilQGxPUhl2D1spql4lTFk8O7mArw8jizfCq8LenMFXw1+owBYQjAHYQnDPxWKcD4OeV4JsQBZCbNRQKtBbX3ANt//vpqC64oLSwq48OJqsWG4F/GWMwycvTpljKkuf2f2IBMdhpSYk2s6m5dxdejMFR8W7ECdfqnctDzG5eTm+nIea7uCkosYMTlfgISFpzvZL+Wb9eEznpcrSyGw24R70ROD5hhL1b3nXUp3B5B7W9eVdPU5Cz3o+pV4edD1q2ALoLum3SKzfeiyMDwz9CKjnmB7UM3XXdPZrs1cx7YDedC6TGJIUBNcMGWXRfTwwQ4LdnmLmqNYQhtSQzYlHiqIIONtapqVAXmV3MqA3F1sH6JVLcmwWkNkpdZX6ZXQqym+ceCrwS8HYA7BGgxrhwas2iHPyz+T/ywcauPAVlNsJdw2tHKbRsGVnuyoYTO0m/Hyhy2KVQHNeNKqwFvOeHTYu3MGmnuSOnTmKoLQ2s6e6xMaoDW7T4VScpPU+8qEBV58A5tV8CKOXSe8hMu8XNyLsMuEe5BmWYBtak27RR50/Uq8POj6VbAF0L387MV0U6dVdEuXK8zDZ1PQOIQtwycGzTH5lLxMQhtOO3lVJ+N/M8NpG1l1JrIon+yQHe6A7w0PEl4okefBDqeyy31vfIpZDnjIrF0+pLaRDakpVgaou3xQjbepIcbnhTFTTH3wrvJaemboRfTEoDmWd5fbGdICr2ZpcCm8+YbeKPBNA79S+eUQrIGwBGIJxvU95Hnl50qQlTDLgTYN1MaBbb7h1qXgcotCroALmwJU3CcGzaFnhl5k7j37RlWb4dg/TbrAajmTA2cnVnbXrQoYOtuoDJ3xl3AxOMtTYuQ8QYMruQHkWoUQyMp9qTw7PIt2x9+0NlXm5p4UvIB/cV27zMu3MnwmSyF2ldearO+HSxfQ1j5LaFPvpeYec0uXzO/55Wcv9qDrV+LlQdevgi2A7mVnLaZ/Cx5K3MKwufdSo6w8VjbPbBsioxLbhcjXPbagv5loNjWaiOzRhtNETTDP2C2osssVE0wyiwcKlF01axewiy1CTDXfUZIdUgvydlEuISPIuJXh4MRxqpVBend5yYQWRcaH1XjtK/d5FiJPNa29IUrx1cA3Dn6jIFgeEk7jDtd5NJhNArUa2EYptvm0JaQB3DgFl5c+8GY8nonLI8Nk+QP34mpWBaQqwKoQig5jJRBocPzqlpbmXvTNL0R8GIdcnpErlVy8gCMhRtyXCqbksqzcUL2vNnwWRCGivhzJMMcW9Dd5ubBRIesbloXHyuaZnSQ0N8KycHPnK+jfOq6iy87yoOtX8uVB16+CLYDu4jOX0LXBRPTaAHbvCobTtgTDaVqZBB9OO1pTYYbTPlrWy0w28+geqzkNNgYe28O2CBuqRjONsssfLDKRwcralVaGLcLKEDQPfXnjmaFBNTxs3ptbRm/VDQ1l7kLdlcALO0NS4OX+3SiFN87WkG/ojQJfF/xy2HJBsARhCcMSivN1aJ8hfw7+M2ow61JrJdTmE2zj4DZpBTRXcKUPNwngSpsCB1zEhvFs3LfqhmZazoKX7NDAGfJxb2tmWxW2KFYFnpErkxX4i3cDKrmJ68u1rNwd7bN2BdF8hghEJMJ8tKyXGT5D9CGGz1ylEFuC4bO7Ashd2/kKuiHYFVp85hIPun4lXh50/SrYAuguaLOErm6XeXDBwvDTbraFYVu/ReZBtLO8jvYOrzGZlXjw4KGD7ngMfziH03hNsCtjtwADH86MymCrUE1kODA4nMiACWcMqW2yh9QwBIIIMt6mFmdlkN7dneV1ZkDEFUUG9QUPJ142oQ2s/b2BN8riEAe+UfArAdgFwvk6tM+SP48LatOAbb7/zusDuHLQjJc+4KUZu0SuyDAMvu4srwt5ceOsCqGWs+vamfuONXS2iQ2dIQlGJisEA7IyWcFYqRxZ34UalI3MyuU7S3L4LBiO/Xh5Tzq+uK95ucaLNbK99w6voZ3ldeZFGgOwsCz8tFvWsvCDwPa0oI0HXb+SLw+6fhVsAXTntl5CV5yVeaD9MJiQvrVL5kEFH92W8y6lB/tlJqDhm8ODCAMh2EbEFqJ58ARDIFbs2KZwILszYzdC2c3nQyaXITUrkUGzMoi8XaQyYFAN24h4+EBlQcmEBryoEEbRRBTwcv8u8nfXOSwNsnRAA96o4bV8K4wu+I0DYBcISxjWDgmkcUfc+bSfQftZ44C2of4+5d+hhNs4e4Km4PJWs42BgusaNJOAi8gw2KMk4KL8gWfjIt7ws6s72i1nwcCZlY/rsirw+07KobN8v2zHRh9GZeWywVgTeRjca/BiDcsU7FIYPsOLNOYBHh0wnx7sly2F2BBA7q1dVtKPgvvDVe0yvztzW3vQ9Sv58qDrV8EWQPeilktoRdvMg45bGH4c+HUR3o5+eUT9QHVBhiUmn+GX+3Bp79Bw2le3ttArNnnGrhY7phRKNBTsGmU3Cna1+DFkVzpg95v1TWx1N6jePHlVJ9XKwNVdHkOG3F1sMe4qr7WiyDA48lB/284g48hcCq8snUgKvA0xDJUUfDX4dQFwFAjn44j6TO1ndP15GvLvLE69jVJwZaGHpuBqcWEPBPcPnomLyLBd5bVWuxkSFXhsGFdxpVUB95gvbzzTVnFhl9Igl99vZHxYDOQ21H1HHYzVasr5/WZ7W7Wi/KtbW4SGzz5c2tvMBSDxBVnevBRie9lceqh/ZtgVJTXrzl1BPxaWhdVnZ36/LmrpQdev5MuDrl8FWwDd2pZLaNmZmQfgVe0ysPujjlkLg/TrQomBj07m62I4jddtasNpVhIDsit57NiBweEHD8/YbeDtQyugXWtRSzqkFjSpqb5dxcrAUxkwKPL6jOGmUe3lCeOtZAZuZ3hycEbdfaxsnpW9q6m7qBOGf1ezNNQXeBtK5U0Cvi74TQvESY6knxP1szb0301crnESwNUsCvDh8tpeTcVFJu5jZZkUF9T34oWZJyqg/OHw1NH0+ozh5p5ipSooVgXVj4ums6RDZ662M3a/aXDblFIIcerPY7KWKSS/INNbJiw4hs/+urCfuadoebkohXh0wPyQLxeWhR91XEXXnpO57leedSUtO/NKqvWg61eK5UHXr4ItgO70FotpYesr6dI2VxoLww/OyVoYbg+UGlkm8fjAi+mpIdnhNAyLWMNp80tNlqWZgOZh7bJyU7anueo2C6DshmwMIqxdjR+TQ2q8XEKqu0rmLh5K0rvLgRe5u3xYLQ54EUcWp/By6JW1wlE+3qjEhkIpvbnCcCGOv9efM5fCDs1/y+t6JdxGKbg8LiwJ4B6cOM7KxZWACy9uyKrAs3GliitLIPjQmSs+jL9QF8quEKfkYghWtp7xSnJWWoOkF2R4o52RD5+9dMEkszP01JBZ9PjAi9VSiNuZZeEH52QtC5e2uZIWtr6SprfwqQt+JV8edP0q2ALoTmu+mOa1upIWnXElXXZm5gb2r+0zD7ybA/8d9+tu7bOEHuy30OTrYjgNDys+nPbunIEmuN00p2F7kScxiIzdb3Z2VQslCqnshuLH+HAIix9zDqnJJjVmZfh2k8PKwDN3mbqLRjWEuh+pHmVFkcHO8PzI6Vb2rkxniFN4pYc3DfDWR+ktJAzWBxz/3j9PGrhNqtymBVzuwY1TcLU0BWTiPj9yumVTQGQYKnzfqhtqGs6kistTFaRVwai4sCqIpjPX0JkVH+YYfi0I5GpKLiuEsGLEoOSKhIUvbzzTaj47vrgvvTtnYGj4DHm5O8vrTF7ug/0W0tY+S0K+3Js7X0E/7JD5vbnirMyzYtEZV9K8VlfStOYedP1Kvjzo+lWwBdCdVLKIZn9/Nc1rdSUtaZO5ga0+O/NAvKFDJonh1i4rQ2US2Ip0NadhOA1qDIZGTA3nza2z4e2u9jQt7gcPpDyGtvOs3a++3RS9tZjGyoAHE6aiubq72R5U++rWFma7kXt3OfC+P+98A7xQZjT/rga8SRReDr3cx8sH16LSGpIovUlzYP+3guX/dqhNo9xGpSdoA2Z3CXtCEgU3DnDhw8VOEAAXQ60ccOHFhQ3qq1tb2ANnm4WKi1QXvDjnaFWQgMvvK3H3lEQRYqKsBpAbKoRwtZ4FJTWnbm5t6scx5IpdITl8JpvPYHWSpRC3dllJN3XKXONXt8v4ci87M/OsmNfqSpr9/dU0qcQ3o/mVfHnQ9atgC6A7vngh1bZYTXNarjYWhpVnZR6UPzhntVUmcWf3y2ljEBP0QMRwGprT+HDaB0v6ZGLHgjpOk7F7R0k4Y1cUSriqgqWym6/osVjfbhA/5hpSU60MiCCDuos2NW5lcHl3WYUwtiAxrMbtDNy/iylqns4QpfBqwMtzeKOAF17eKKW3vtD7zwi+cb7jNHCrKbea91YCLs/B1QA3SsGVaQo8Exc+XG5TMIkK80utCt9ILy63KiDJBSoujw7jVoWooTOxS6TdSxqkkZFboqSSKwshZFZuUE4DyD15VSf6eHlPq/kM9wm8EGvDZw/0XUybg+GzO7tfbpVC/OCc1XTl2ZnfQVgW5rRcTbUtVtP44oUedP1KvDzo+lWwBdCtLFpAM5qvopktVtGclqvpkgB2V7TNDqfJJIYNPZabPEw0pz05ODM9/fzI6fTCmCn08oTxdKiq0mxDon+eD5GYKCDZnpZU2ZWe3Xo2FdXXysBjgLRUBjVzl9UH46HFY8icwCvSGTCwhrKJKIWXe3h5SoO0NcDH64Le2wT0avaGOPBNA7+FSin4e8OsNkiXpDkuCmw1W8JahzVBwi38t5o9ASkK3IMbZ1E4VFVpDZrxNAUn4LLYMPNyzGt8tWxcJVWBxxY2hFWB7w4lbmIUL8uxSq7Sega7AnaBji/uS+/PO9/YnQ5VVdLLE8bTC2Om0PMjp9Ou8lp6cnC2+Qz52xhSlQkLV7XL/L5e2uZKuiSA3JktVtGM5quosmiBB12/Ei8Pun4VbAF0RzW9hKY2u4JmNF9FF31/Nc1ttZoWnZGZppXDaWs7X0G3B0kMaDhyDaehOe3w1NF0tKbCbEea2LE1nbORQFrG7oMlma1HrSrY5dnNQ6lEPobU+BCJZWVIOqgmSyZQIXxVJzqxsruJItPsDDx794/jJ9KLYyfTH0ZPjVR4YWlAy1quwCszeePsDUmgNw5849IM/jdAcNzPF5cEoWUBx8Gty3PLs29zBVy0mcGiEKXg/mH0VHpx7GRjU+CZuJpN4ePlPenEyu6ZnZ9ggDVU/pBm4CywKmhNZ/keOqtXGYQSW2gpub9tk30xVrJyv7iunakYR4zYO7MH0dGaCjo8dXSo+UwbPrun1zK6Kxg+Wxs0J/Lhs2WBL3duq9V00fdX04zmq2hqsytoVNNLPOj6lXh50PWrYAugW9F0Hk0svpymlKykmgB25XAaYPffgtgx1ATfrcSOPTVkFu0eNtOEvmPIBGHv2JY07Wl8QC0XZdflsRMPrVPfbKRT32xMvPXoUmZiI8iCYRIrlSFQaKzMXdR2Ory7ccDLs3cxsIaBEwCvZmmQCi9PaeDQy328gN4oLy/AFzFlUumNU3uTwG9ck1hc1Feh0xbSRJolaXrToDZOtZXKLc+9lckJ0poAuNX8t48PvNhKUZAKrmZR4IALiwIHXPhwYwHX4cU18YRMxcXAmUlVwItxiuiwtDtBX/9/95n7TWwRTUTFeJySKwfPTPHM/FJTOoOhVZTN7B42k54aMisUI3Y3q/e9pUvWrgDI5cNnF31/NdU0X0VTSlbSxOLLqaLpPA+6fiVeHnT9KtgC6JY3nUfjilfQxOLLqbrZFcbCwIfTtCQGPpy25bxLzXAamtPQU492Ixk79sGSPhnlJkrZxcNMKLvONAZeFyxsDPl4eCUaUhNDJTyVwTmoJpMZMEmNCuHgoYZhE83O8MGSPpad4c3acpPQIBVe6eGFpQEta/Dx1gd4b4+AXk3tlYpvFPimhd9cMm/re6Qpq3C1s0WBrQtuNVsCz7ytD+DCf4s2M1gUpAdXKrhIUnizttyyKXywpI9qU8Cwqnn5DSp8TUKLTFRwDJypqQryHhGT2pKvl2ILcpUIMacnF0ruL5tGK7kru2fuASJGDK2K+0dPo73Da6zms4f6L6QtwbXMh8+0hAUMn8GyUN3sCppYfDmNK15B5R50/UqxPOj6VbAF0B3YdDaNLrqMxhYtp8klK2lqALuzv5/x60YlMcjYsW39FpmH4TNDL6I9FReqhRKhAbU1nTOZmIGCgyGT1Mquqy64gbYjVd9uYGXQqoMt1Wb/gHjghZ2BA2/QeMT9uyfXdKZPVnWzgFezNPAMXtmyJqEXKu/2srn0WFlmeA3QKwfYEFN2N4spSwq+0tsL+NXsDi4AlhDsquetb8tZ2u9PUjPM/wwSaDUbAqBWem2TgO364N8GubeIBZODZYDbX5deQo+VzTNVvdx/y+t6pQdXU3BhUeCA+8mqbmZXx/hwgwbFEOBqkWECcPECjHuCWuXrGF5tsHtDjJLLd3zilFwMrWKH5/Nr2xsllw+eaYUQeyoupGeGXmReYrf1W6TGiLkSFi5pnUlYmNkiY1eYXLKSxhYtp9FFl9HAprM96PqVeHnQ9atgC6A7oOlFNKJoKVUWXUYTii+nySUraUbzVVTbIuPXBeyuaOuuCd7QYzltDmLHMJyyY9Bs2lleZ5QeKDy8zhMPPXjyMFWN2KDUym5CG0NBYFekMjgH1TTvLm9V29IkW+0ZbFlyOwMmrXnZxIdLe5stTE3hlZaGNMDLVV4NeKXSmxR6XYqvBN84+JUArEFwFAzX53B9jvx5+M/qgloX2ErFNolqK+EWvlsX4MKekBRwpUVBVXADyxI8+rz04W83tLVsClZ74maWs412M4cXVx04c6Qq/F0hVyuDSKDkIoYQqSzw7OPllteGYwcHOzc7y+tox6DZZvh0a58ltLn3UufwGep9AblzW2USFmY0X0WTS1bShOLLqbLoMhpRtJQGNL3Ig65fiZcHXb8KtgC6/ZrWUnnRYgt2pzDYlUkMV56dsTEgduzHLHZsU++ldH+w3SkLJTCUgmpPPqCGxiNEjyVWdrFVKcLfrWGThJFBaR9ssQ83ER3E1V2p5ISSGWKA1/h3ERAvgFezNHCFV0tp0Hy8iCCS0CsH2B7qv9CyN2jgG6f2SvjVVN8kEMxBWMKwBsXaIcE0ClS1Q/tM/jPdkBBmNbVWQm0asN3CwBa2BMSCad5bwC2iAzX/rZai4FJwYVFQAfe2ZlkfbhLAdXhxjU0hAFw1gjDipTdfQ2cyilBLZvnq4EjLypRKyb2qk2lQlINnr0wea4ZQtUKI+/supk0sRuzHLEbsX9tnYsRkwgIgd4qA3PKixdSvaa0HXb8SLw+6fhVsAXTPa1pDg4sWUnnRYhpZtIzGFi2nicWX09RmV5jhNJ6xe8VZdsYuH07bGNQEy9ixneV15iGJQgnYGN6ZPSis7GIQRSq7Ws4uGtRYnSeHXbNdmcKPF/WAS6XkSCsDG1SLTGZAqxpyM1H1ubVJdlhN2hkQR8YG1lwKr7Q0AHihAmnA6/LyIqLMZW2Apxf2Bpfaqym+acCXwy8HYAnBEoS1QwNVF7Rqh/w8/rP8SIHapGCrKbYSbuG35bYEAO4DijUB0WBR3lsJuNx/e3jq6JBFwaXgWoNmQVyYalPYHFzrqAYPrner3SwqUYEPnKWA3CSAG+XHVX37wbUfglyetS0bz0S6gqXkXn92SMlFRTggF4UQz4+cboZNZYzYRsfw2ZVn2/W+c1quNsNnUwNf7tii5TSyaBmVFy2mwUUL6bymNR50/Uq8POj6VbAF0O3ZdBqdXzyfBhctpIqiJQZ2JzDYhY1hYetMxMzKs7IZu/8WxI7dFtgYZKHEY2UZGwOmsv8weqrptU+q7EamMTzZwVJ3rNYjWevpKJb48vT6UONRWkUnUQyZYmfg3t1EwIvtTKg9G7Ptai5LA1d4ZUoDbA0SeqHyvjh2Mh2orKL9o6eFrA2IKdPsDQBf5PPGqb0SfqXqqym/EoI5CHMYlkCsgXE+Du0z+M+wVoCshFlNqZVqrYTaKDvCAyLvliu33JaAWDBpTdg/ehodqKyiF8dODqm3gFvYE2SKQqyC+5Pm2VazjY2z1zZsSikA10pUkDaFGOtSfa953D/iiiDg07faE5/rY1/jUekKCZTcgxPH0UsXTDJK7q7yWtoxaDY9VjYvVAixLoDctYGSi6zclUGM2EJmVwDkTmCQW1G0hAYXLaTzi+dTz6bTPOj6lXh50PWrYAug262oivoXz6Hzi+fTkKJFVFG0hEYXXUbjileY4bSa5pnhNC1j94cdMhm7t3TJZuzy2DEMtPBCCcAulN03a8t1ZZd5dtWcXWxn8lghpuyaB6ArM1MUS+QSP5bKyiC9eiJ312pV2z8g+yBEFBkfVuN2hjQKr2Jp0ID31SljQrYG6eXdO7yGdg+bGQJervRy6IXayxMckNXLFd848HXBrwbAHII1GNagOM2hnUt+Hv9ZONC6oDYJ2EKxhSWBJyVI1RaJCdvL5lrWBADu7mEzae/wGqf3FoDLB8w44GoWhdQKLrcpsGGzb5/uRN/s6k5fP9fH3rnhvnxc40qNb0NYFdT4MK3Sl7edIWoQ1zdiBrlNyZWT6/DkvjN7EL1ZW26UXECuLIT4dekloRix27tdTrd0yWTl/rCDnpU7mym5k0tW0rjiFTS66DKqKFpCQ4oW0fnF86l/8RzqVlTlQdevxMuDrl8FWwDdLkUT6LySOgO7g4sW0oiipQZ2pY1hXqvM2/5lgbJ7dbvVoUKJdQHsQtl9uHSBqQqGsovosYMTx5noMaeyK3J2zRQ2tjaZd888EJNk7TaglUHdzhQPwrTAa6UzcIWX1wlviFZ4eUrDx8t7Wk1rLujl1gYOvYgpQy6vpvSilAJqL7c5wNsrFV9ud9ikADCHYAnCGgxzIOZQLI8fpzxc5+Gf9VMHxEqQ5TArgZartdJnC6jlqi3sCADbHYNmG88tV26Re4tYMA63mjVBg1s0mX28vKeVohCp4PIkBd5qhhdXpCmkBVyl/EFe2w1uVUgwdPb1c32yXvzftslak4JrOJSTG6HkHqkeZZRcRIhByd1eNpceLl1glNy7AyVXFkJc3W41rQxixBa2trNyp7IYsdGBLxdKbv/iOXReSR11KZrgQdevxMuDrl8FWwDdTkXjqGdJDZ1XUkelxXNpYNEl1nAalN1qFjvGM3YROwZl99YumQf9+mAYhiu7KJTYVV5Lz46YYTx/r0weS0eqR+nKrpazi+B4qEA8bijY4nS2qKVMZMirlcGVzADlBw9GV9EET2eQZROugTWh8EpLA4D3w6W9Y1VeAC8SG2Qur1R6NXsDh95HB8w3KQ4u6NXANwp+NQDmEMxBmB8/7ZbboZ2Lf9ZdDqCNgloNbKPgFn+PHG5dtgSu3MrcWyQnJAHcaEFWcwAAIABJREFUD5b0MUUPn6zqFrYoaAquNmgmSx94moKj+AEvrmanJkWiQoMNn2qQ62o729XdrgIPrl0UxUTm5DIl90j1KKPkvjBmCj07YgbtKq81hRBSyV3fYzndHsSIQcmVMWIyKxdKLh8+G1h0CZUWz6XzSuqoZ0kNdSoa50HXr8TLg65fBVsA3XOKx1C3kmkGdvsXz6GBRZfQkKJFlrKrZezy9jQouzd1ytgYfspsDKgK5soujx6L8uzKBrVTa1vpyi4ms7HdGZG1aw2pKYkM9R1Ucfn48gK83L/LLQ08oYErvNLDK3N4A7WIQ69L5cUAm4wpcym9+0ZVq2ovBtp2DJodgl9pd+AAHAXB9zILhAbDODaKYwMDz/oc8rz8MzWIBchGwaym1sKGIKEWFbwu1RaWBE25lbFgGCyLU29Nk9m17cM5uMKDaym4MkmBWRRkXFh9ATcX/33SOEErWUEZOnO2ne1on71e2bUKJRcvpbzxLMqTKyPEoOSi2hd2hZ8GdoWbOmWVXN56pmXlciV3SNEiGlh0iVFye5bUULeSaXRO8RgPun4lXh50/SrYAui2Kx5BXZpNoW4l06hXyUzqWzzLUnZHFi0LZeyiPU2LHUOhxI+DmtH1QaHElgB2URUMG4NUdp1pDFzZDeKILGUXYfKBMmRl7SrxYyZ6KM/ZmmnUXbVVTUSRYVgtZGfg09oYZnEpvMLDC0uDBF6p8gJ4/7qwH70/73yTycsjyo5UjwpZG6D0SuiF2run4kLj7QX0wuaAobYo8HXBrwRgDYIlDEsoTnvI88jP4TArgdYFtVFgiyEy2BE43O4eNtOp2gJuodxyawIAF9FgyL59f9759NeF/VTAhXprAS7PwXV5cLmCi0EzWfogbAqy+MH47R0VvvVRcXPNzDbXrYwPC65XsxuDnRiUwrDKbxMXGKHk8nQFqeQCch8dMJ+29VtEW867lO7ptYzWB4UQP+6aLYRwxYjNbLEqlJWLhAUouX2LZ1GvkpnUrWQadWk2hdoVj/Cg61fi5UHXr4ItgG7bonLq2GwCdW42ic4tmU49S2oM7CJ2jNsYpgQ2htoWq632NBRKoCpYKrv39FpmKbtaqYRUdtUGtWs6mIpQk725kUUSYZhFJjKIITXz4JS99w5vX1orQz6BV/XvJlV4mYcXKQ08h/f0T5rTqbWtVJUXD9oTK3qYATYkNrw3tyxkb+BKL8AXLWwvXTDJ2Bz+MHqq8fZK+EWEGXJ7OQBz5ZdDMAdhCcMSiHHcrxyA0KSHdg7+GRxgJcRykOUwqym1+HvA3wuybTnUwmsL1fbFsZMN2B6cOM6ArVRuuS0BsWB/XdgvO1i2ood50dTU21NrW2XgVubgbhIe3KQKrubD/TsAbqQfV1oVgthAk6zgGjpDsgKU3M3sBfS2ZqbiW1Ny3541OFbJRRkElNx7ei0LKbmo9pWFELO/n0lYqG52BU1R7AqDixYayO1ZUkPnlkynzs0mUcdmE6htUbkHXb8SLw+6fhVsAXTbFA2m9iWV1LHZBOrSbAqdWzLdKLsYTuPK7kRRKIH2tDhlV1YFawNqMo3BNKgFmZwnVvSgT1d3NT5AM+TCI4oQT4RoIl4s4Yofe++SyAdoQz48LdiNG1ZjD1J1YM2l8EZZGhjwWirv9WcblRfDawBeE1GmWBvemDnMeHo16IXFQUIvbA6IL4PVgYOvVH45/HIFWAIwDgAmh2EOxLke/Fz8M/hnc6CVCi2gVlNqAbawIvBsWyi2Em6RlCDhFp5brtxya4IVDYbs2zWds+ot0hO4ehsAbqRFwaXgKoNm1otowmGz+vrr415KI19Ig+tTjQ+TRRBIVkDb2cbG1tAo/POfru5KJ1b0MNnXvNaXpytog2datW+ckstbz6aUrKSJQsnF8BmU3HNLplOXZlOoY7MJ1L6kktoUDfag61fi5UHXr4ItgO4ZRQOpXclo6tBsHHVuNom6NJti+XVlxq6WxIDYsUvbZJIYUCihVQVvCqqCuY0BA2qyVAJ1wcjoRPg8T2Mwnt1gq9RSdiXsplF2FbWoPlPbGuwiniikFkV5d4NmNaPuOvy7ZpsUD1hpadCAV7M1aMC7srsZYIO1gZdRQOVNAr3S5qCBr1R8YXng8KsBsIRgrgTzAxCa6yHPxz+Lw6wGtBJq4a/VFFsJtsi4hR0hKdzyUgdYEzBYZqLB4gA3uOZCgCstCrgGWZKC6sNlKi6uyUgvLtt10a7N+loVZHSYmqyQRMnlkKspucGOikxX+HBpb5N1jVpfWQbBB89gV9jaZwltclT7ohBiZVAIgRgxLWFBZuVyX26XZlOoc7NJ1KHZOGpXMprOKBroQdevxMuDrl8FWwDdlk1LqW1JhYHdjs0mULeSaXRuyfQQ7JYXLabRRZeZ9rQpJSvVQglXVTBXdrUBNa7svjh2Mv1p0gUhG8PxxX2NVxAZnXy62/gCeSLDb9vEx4/JvN0GtjIkBl6mHqlxZEzhPf1SeVjhRSC9FkuG4onNyaDXiigLBti4tcE0sC3oH7I3cLX39RnDTYoD4PeVyWMt+IXqqwGwhGAJwoBhCcQ4AJiAY9cBKOVw6jr4OflncYAFxEqQlTDrAlrusT04cZxJSHh1yhiTkgBLglRtAbYYKuPKLYodkHtrJSfEwe3mxnrRAywKKHsQCi4SUaxBM03BVTJxGwJwE1sVRD5uoviwR1vayQoyIzfIuoY3/vjiviG7wp8mXWDV+mpKLuwKXMnVqn21QggouWOLltPoosssJReQe27JdOpWMo06NptgILdtSQW1bFrqQdevxMuDrl8FW1nQ7UdtSobSWSUjqH1JpVF2kyQxTCy+nKojCiV4VbBUdvmAGqLHZKkEqka1nF3Ns2sqg9c3sVvUkLXL4sdcQ2qWiqQ0KzWElSGRd1covE7/rlB4nZYG7uEF8DKVl8eTGeBd28pk8vIBNqn0ws+rQS/qh7mvlyu+PMlBgq8LfrkCrAEwIBgHYFNCsTwAqRJW5SHPxz8Lny+Bliu0LqiVYMsTErhiy/22qOHV4Ba+W6dye107k317am2r8HBZ4L+11FsALnZQXBaFCAU35MOVzWYJvbj5tCqozYZ8dyVq6EzGh7G2s2/WNzGVvqdubp0tdHGkKxypHmWquWUZBCLE+OCZVHJlta9WCFGtZOW6Ehag5LYvqaSzSkZQm5Kh1LJpPw+6fiVeHnT9KtgC6LZo2ofOKB5sYJfbGAC7vUpmqu1pUHaljYEru1e105VdPqCGUgnUBe8srzOlElB2X50yxsQeYRocLUyfXd0xlMhgfLv3Bb5dKE0YhNGsDCxvNxRBlsfM3ZyAV1oaXANrLg+vHFqTPl6u8gbbq3J47eufFWUmw4NcXq70fnFdO6P0cvCVai9sDkhx4IovtztwAJbKLyA4CoQBwwBiDsVcGeYKcS6HPA//DHwufg78XC6Q5TDLlVoJtG/MHGagliu27887P2RHCKm2GCq7pkMWbNlg2Ve3tshcPz8rCg+XwRbE1Vvhv5VDZk4PbtSgmWJRaAjATZSNK6PDeD6uy6qA+LBHWmT+ru7L7pa4khU+WtbLpJsgxu/VKWOMkosyCAyePVY2z5RByMEzqeRe1S6s5Eq7ApRc2XrWq2RmCHLblYw2kHtG8WBq0bSPB12/Ei8Pun4VbAF0mzftTS2LBtAZxYOpbUmFpewidqy+yu5V7cLK7k8dpRKoC3alMbw+Y7iJP0LskakbvbZ9tomJZ+1ubmzHj8UNqckIMpa3m08rQ9yDV1WXuMILO0ME8BqFNwnwSluDTGvgrWt8gC1QermnNw56TYJDoPhiqA0e3yjw1eBXA2BAsARhHABPCcZJD/n9/NwcZAGzGtBqUBsHtlBsAbYYJEOJA4dbqLbclgDPbUi5BeCivUymJ0h7QgLAVbNwNQWXv1CK6l7sojTkteb0yfMXSn5tRQ2dKfFhVtvZTW2yftwAco8v7mvi+16fMdyZruCq9eURYlzJjar2TaPkdmk2xVJy25ZU0BnFg6ll0QBq3rS3B12/Ei8Pun4VbAF0S5p0p+8X9Tewy5VdxI5J2NWUXRRKuJRdmcYgSyVQF/xQ/4X0WNk8emLQHNpZXkd7Ki6k/aOn0YHKKjo4cRwdqqqk12cMpzdry0NDajyRAbFH1pBaCiuDzO5M077UEMAbmdAgFV6R0qDGksFLqEGv9PIisUHk8kqlVwPfkM2BlVNo8GtUXwbA3PbAIViCsAbDAGJAMQ5AJgC5Pgc/F/8MfC5+DgmxEmQ1mOVKLYAWNgQNauG1DdkRosAWyq3Mvd3KBsu491aDW/hvlZgwLUUhpOBGJCk0NOBGlriITOtUVgVl6EwmK3ywpI8ZOnuztpxenzGcDlVV0sGJ4+hAZRXtHz2N9lRcSDvL6+iJQXPosbJ59FD/hVatr4wQk+kKLiV3cslKp5Ir7Qodm00IKbktiwbQ94v6U0mT7h50/Uq8POj6VbAF0C1q3JVaNO1D3y/qT62LB4aUXVfGrqs9LYlnVyuV4Mouz9l9ZuhFtHd4De0bVU0vjp1ML08YT69OGUOvTR9Bb9UNpXfnDDSxSCdW9Ahn7QYNTd9sCNSprfqQmpkE52H1GuwmtDKk9e6mtjPwB7MLeKMsDWmAV0aUbRHWhg1iiC2wN2hqL6CXK74GfFf0MB7fKPDV4FcDYECwBGEcAE8JxkkP+f383BxkAbMa0GpQGwe2Hy/vaeK/pB0BcBul2lpDZVy5lYCLaLAcADexRYEruMHvdb5sCnFe3DirQghyuR0IOyPa0NnWwI+7IRsfJjNyZbLCW3VD6bXpI+jVKWPo5Qnj6cWxk2nfqGraO7yGnhl6kZWT61JyAblJPLmu1jNXVq5UclsXD6TvF/WnFk37UFHjrh50/Uq8POj6VbAF0G3auDM1b9rbwK5Udl0DaqXFc+ul7PJSidu7XU7rmLJ7f9/F9GC/hfSb8+fR4wMvpmeGXkS7h82kfaOq6YUxU0z8mBxS++vCfiaRwfh246wMPIJsV3c725MNqlmZuzExZPkCXtcDOtLDK1MatGiyhNBrHuJQq6SfNwH4Wmov4Pfm1qri+/k1HYzqawFwoPxKCA6BsALDAGJAMQ5AJgC5Pgc/F/8MfC5+DgmxEmQ1mLWU2gBoP7u6owW1lmIbpCSghldVbV1gK323PDmBR4MlgFs1IiwiRcGl4MrrJ6+A64oNY9m42sDZ18/1yb4U8uiwCKvCF9e1o8+u7miSFeDHRbLCkepRJj7shTFTaN+oato9bCY9M/QienzgxfSb8+fRg/0W0v1MyV137gq6XSmDyFXJLS2eGzt4xpXcFk37UPOmvalp484edP1KvDzo+lWwZUD3XzpSSZOeFuw2pLKLnF1uY7i1y0q6PbAxbOx5Gd173qV0P1N2nxg0h54aMov2VFxIz4+cTgcqq+iP4yfSoapKOlL9/7d37tFNVfkeT/pIkyZAWihtKaVUoLxaoKWlhUqLPEQegrS8LI9CsTyFuYKgPHVGecwwKupCRQT0XodXuY7AcEUEOqKIXC7LkVEKlFIckSt6sXAZUHCG7/0j2af77LNPctImhRt/n7X2WnIMyckhTT795bt/v97KYAnWfozP7V5bGOeSXbbJht+kJpukxssu+xCvR5ShvpvV9NqR6VZ4vUUaxF68ovCKWV7WsYFtsuHzvKzSK2Z6uXZlGullXRwkFd+/L2quqfrKxFeUXz0BZhIsijBbTDxFMTa6xL/P3zcvskxm9YRWlFpvYnttYZw0jqDI7e/sitxKq7Zi5pav3LLcLdu06e6cIM3e8oIr64HrIaLgqYKr9zNT3xZ+dY4quH82VJIrm3Qmbjrj2odd+ZdW+OHRe5Q8rii5Xw7qg8/6349jfQbh43uHobznCOzNGo0/dR+rVHLfcm88W+uOK/z2nhlY3lo7DGJmA1VyG1k7wB6RAmt4IokuYRgSXaLBYKIbEZ4AmyUZkRFtvMouv0Gtvb1Aqewy2TVS2Z0ijAtekDAbS92b1Fhld23KVI+DJQ7lDlemqPGb1M4VZrtaKk1MMxRlUPXb3d7Y9SHPjSeV9dy9fvqB2q9i9ZrZB/DrV7FC5bVLg15rMi7Hy6q8mhZlnPQarvSK4stXe/nWZaL8srgD6+jABNjdzkwmwaIIMxlWVYLdQswWL8b8+u6RDnVa4v2oxJUt93kwgVUkVhRZicyydl9MaFlnBPaLm0Zq+RZgelXbrY2MV25lG8v47C2TWzF/K2kR5qmLQiB/RgwJrnv4w7VzBcrPgqY3Lj9m+91mrmso9Mf1GlWYmIYLRemaPC6bdnYod7jHQRBruUrur5NmYal70xk/1ndKM+OVXCa5He0j0d5e4HHjmSi5kRFtYLMkIyI8gUSXMAyJLtFgMNG1hMUrostXdp22rirZjbfn6Y4K7hJZhExbseHKLj8ueG68K8awNNEVY1iVPFOp7K53y+6WtGLs6DoeuzIexnuZo3EwpwCHcofjaP5gHO87UGk/xud2L05Mw6WSTrg8s41LdrlNapp+uxsstZlEvg8oa0F2NF0eZTCQ3fX3jnFvH+b+Fl6v0Qa9TK+e9G4QpPdlffEVK79K5EGsAOsIsCLBEhHmhVhciiDrLNnfEe+XF1kms3pCK1ZoWQRBU6nVE1t3xVaR2w2c3PJVWya3ssytl2iCvwXXyC+BAetc4iGLK0YVfjqaXts6jO9QwjLr7PXM98flNp2x9mGXSjrh4sQ0TR6XSe7R/ME4lDscB3MK8F7maOzKeBg7uo7HlrRivNmpBOvdkrum7XSsSp6JZ1q7JPfJlrMxN1491tdoJTfTVqxUcmWjfdlACCa5TltXVSWXia4lLJ5ElzAMiS7RYDDRDQ+Ng9WSBKslyavs1qWyy/fZZRPUJkTPQYlbdmfFumSXr+yuSp6J59rMUA2W4NuP6W1Sk+V2NVEGWb9dfnQwyyny1V1eeLmJTtJpTpI+oOyD1lt3hkBUeNkHvKH2ZO5oA7+BTekXykuvp0qvKL58zIHJ79uRWvkVq74SAZZKMC/CbhnmM8BMiFVVYbcYi+t/57fwacnugxdXpSLrPg9FYN0Sy4usVGa9Ce16idSyX9h4qRWqtlKxlcQSlA4knNyybzM0cqvTHkzv9e+vCq63bgqa1nxiTEEY/qBMGOQFV6zibrarR/nK+uNKogr8EIgvHrgPfxnQX8nj8pvOxPZhbBDEc21mYJW7fRir5M6Nn41Zsa730pJmczBBmHim1yfX10quTHLZ50Z4aByJLmEYEl2iweBFNyI8EVZLkqayyzanRUdmoJm9h6HKrrc+uyzGMMEdY5ga44oxsMruYndll5+itq7DI8oUNX5ksNh+TC+3q7dJ7cavo1yy+7y1NsP4phBlkG1UE3qD8rvK9aq7RjerGf2gN/J1rSzSoGy+YR/6THjFEcNMeGV5Xlmll5/CJkqvLNvLV3yNiq8ov2IF2C3AogTLRFglxOJiYqq3JH9HvF+VyIoyy4RWrNCKUmtUbGUVWz5rK8otN61Mr3Kryd0Kgqu8ztlrnf1yxzZnGtxk5qvgGtms6bEVn1DFZVEFvue0dMMZH1VgXRXWuluHrXIoURtPm86qCnJ087hsEAQ/0ndjxylY1+ER1bSzZ1q7euSySu7sONd76BROckcZ6JNrpJLbzN5DkdwmtjRNJddqSUJEeCKJLuETJLpEg8FENyw0BpawBEV2ZZVdXzO7ehPUBttnKpXdMU1csjupqeuNeqZ7sMT8BO0UNdZ+jG1SY1EGtkmNRRn44RK6UQbWb/fxlri2ME4ZHazpysBXd1nPXTbSlBsyIc3uitVdL8Jbn0iD0Y1rugKg06JMFm+QVXpVmV6Z+LINbXryq1f1FQVYIsGKCOvJMC/EXFVYkWN+MfH0dQn3wz+G6rHX6EusIrIymTUitCyGoCO1mqqtW2z5zK20ciuLJei0BvPWQaG+32L4utFM2mtaIrgsiysOf7j1QbK2Ny6r4vJdFYRRvqr+uB6iCmwIBMvj/qn7WCWqwDadie3D2LSz+e5BEDNjXe+dk5q6JHdMk9pK7mD7TN2JZ3XN5IqV3IjwRFjCEhAWGkOiSxiGRJdoMJjohoY0RXhYnEp2PWV261vZHeKYheFu2R3rrI0xTNWZora8tSvGII4M3pKmbT/GNqnxY4PF4RKXSjrhf6aloGZ2squ6q9eVQVbd1YkyyIZMKG2V6jnxqT4iEBDhFSu9XKZX7N7w09F0RR4MSy/L+crEV09+eQHWk2BehN0yLC5Fjg0u2X2oHmOtB5nlhVZPamViy/K1Psgt+3dQ5JZ1S9DL3OpFE/wguP7+Rc7oBEGxzZ5mcqCnqIJYxZV0Vbg6NxE1s5PxP9NSpEMg+HG+bNMZn8d9p1vtIAh+pO9zbVydFWTTzqbG1MYVxjpdkjuciyv4o5Iry+TykhseFofQkKYkuoRhSHSJBqNWdKMQFtrckOwaqex667PLKrsPOmahoLFrk9q4qDlKr1299mNsk9rL7aYpm9Q2pxajrMsEJcrA53ZZlOGLB+5DxZA8VBXkoHpkDyXK8H1pe9dGNXejfb4rg251l+1S90F4VV/zSnqI6uV3/RFp8Ca9ms1rehvY6iK+spgD29zDVXyVuIOeAIsSzFd/eREWZZgJMS/FvBgzORbXeoNL9nf5+35TkFcmsKLE8iIrVml5mdUTWhZDECu2YtZWUrU1LLY6G8v0Npd5kttARBSkgsu/XvWmm3kS3B1O3SqupqsCN8qXRRWqR/ZAVUEOKobkKf1xj/UZpJvH3Zxau+ns5XbTlE1nntqHFUfPwbgoVyW3oLErqmCkkuttrK9eJVcmuWGhzREaEkWiSxiGRJdoMETRNSq7Riq7rM9uWuRY3cruYPtMDG/0qEp2xSlq891T1J5OmqUaLKHXfowfG8wPlzgxsK+ySe386ExcKEqvnabGdWVQRRnEjWr8+GBP2V3Wd7digHpXus6OdF/jDP6ohPksvF4qvcrXwb5Ir474KlVfUXxl8stHH5gAixLMizAvw7wQ84tJqbcl+7v8ffOPyc6Dl1kmtHz0QCK1MrGVRhHcYuuT3LJpZd4qtz4KbqBetx5jCjqdRVTjsNnGSllfXDGLK47x5aq4SlSB66rw3SMd8N/FqbhQlK7qj3tiYF/VEAh+nC+fx5W1D3um9Sw8nTQLi1rOxnzJtLNxUa5KbkHjRzGciyvIKrlpkWNVfXL9UcllnxskuoQvkOgSDQYT3RCzE2GhzdxLLrs2S7Lhyq44QS0tcqxS2c22Tca9tlL04dqPDXFXdvV67fKb1H7tzu0+18aV2xWjDGILsg97PaREGT6/vx++HNQHZ4bloqogx2NXBrG6y3qTKo329bK7RoRXlt/VEV5/RRp8kV5NpYzfxGaw0iut9urIr7TqKwowX/3l4w9uEdbIsEyI+aowL8f8YgJqdMnug38M/rF5gRUllomsGDtgMisKraxaqyO10qqtL5Vb7nXpKZoQyNeox9iNTHCFtnm6guspi7uhtuezWMX11FWhqiAHZ4blKv1xWVThw14PSVuHvcVFFV50d1ZYkVwbVeA3ncl65BY0ru2R2y9yOvrYpuJeWymybZOVSm5a5FiPE888VXLZ+79ccl2fGyFmJ4kuYRgSXaLB4EU3NCRaEV1/VHb5CWpMdjNsE5BpK0ZPW4kiuwMiZ0h77XobLMG3H3slZSo2ujepsbHB4nCJI3lDlRZkel0ZVFEGvrrLjw+WZXfZCGH3VLVbH3aoHSHszkKKU6OkE6O8NNQPtEz4pdIrSq8k4qCp+HoTXzHve6SrNvrwYQdtJZiTYJUI8zLMLyaivi7ZfXGPxZ+DSmbdQquRWvfzU3K1epVaQWw1FVu9SAIvt36o3DbEL2EeB6LIJgCK0/9YdtzdFo+1w1Pa4L0TrZ/FdY/xVVVxJVEFsavCXwb0x3/d94Bm09nO9CLpOF+99mF6gyDEHrkDImcoktvTVoJMW7FSyWWSK048q28lNyy0GUJDokl0CZ8g0SUaDCa6ZnNjhIZEc7KrrexGhCfWq7Lb3l6gVHYzbcXItk1Gru0RTWX3IQOb1FiUYXlrV0cGPsrAtyD7Y7prdDDbqPbxvcM009RYV4a/jemOi+O74NvJnZU2ZHpDJjTZ3bcjtdldHeHV3bCm03/X1/ZM/hAMnyq9epvZfJFfvaovL8ASCdaIMCfDGiEWqsIqOZYtJqJ6y8Pf5R9D9diiwArVWUVkJTKrJ7RiDIGXWk3Flpdanc1kvlZuAy23hgSXjygIOVxdwRWzuExwuSyu3vAH1jbs28mdcXF8F/xtTHelq0LFkDzVlLOP7x2GgzkF2NdjFP7UfSz+mD5Ot3XYavc4XxZV8LbpjJ92xiq5ubZHkG2bjExbsVLJbW8vqFcll73/yyq57HPDbG5MoksYhkSXaDAU0TU5EBLiFGTX98quKLussiuLMTDZvddWqunIwHrt6skuaz/GNqn99p4ZyiS119qX4s1OJfi3zpOxrctEvNPNNVxib9ZolPccoUxTY10ZvhzUB5XDe6GqIAdfj81QRRmU7K57o5qmMwOf3WVN+tmOeDZK9cMOtbve+c1q7gqvJs6g13Q/ACNT9aTD10qvNN5gQHp1ow6Syq8ov7oCLJNgXoQFGdZIcR2X7D5Vj8mdCy+zukIrSq2sUqsXRfBFbiWxBF8rt/V5vdVrpLXY95m1vuMGnCibzQ6nuiSXja5mnT3Y8BKdLC4bP62M8XVXcVlU4euxGagqyFFG+bKuCmzKWXnPEdibNRp7uo/BO91ckvtvnSfjzU4leK19qSqPyzad8e3DZJLLj/Tl87gsrsBLrhhXYJVcI8MgjFRyQ0OiERLihNnkINElDEOiSzQYoujKZDc8LM6r7PJDJWSyK3Zj8KWyy09RM1LZlQ2X8FbZPTk4H6cf7I1zhdmqKAPbqMb33L2+rFntRLXnXbJ761W37P7Q/6TiAAAX60lEQVSr1fXBucOpn90V4gxidwZNnEGn/67RHe6+Ckhdq7yGpFcv2+tJfIXIg678ehBglQQLMswvlRj7sGT3JT4efy56QqsrtVwEwaPY6mVtfZDbQFVv9QTXUCcQWT9cSUxBNbqaq+JKs7g7nK6f1X+14ueNEa72by/XDn/48Rmn0jZM6Y3LbThjUYVzhdk4/WBvVX9cXyu5rLOCt0quOO3MWyVX7K7gSXI9DYNgkstXc3nJJdElfIVEl2gwmOiaTDaEmBu7lp8qu83sPRBrz0W8PU8VY2hrH4aO9pEee+0OEHrtih0Zpjd3dWRgm9SWcpPU2HCJtSlTdVuQ6XVlYFGGc4XZqo1qup0ZWHbXqPDycQbJsAnphjUDFd5A5Hi9Sa/P4utNfmVVX1GAudiDRoRlMsxFIaRiLAhyvZfkvvnH5s9JI7E6IquKIIhCK6vW6kit+HoxKraBeg3J8rd1quBygqsa+sDFFAwLriyLy3VU4DecnSvMVqIKel0V2JQzsXXYWskQiKXcprM57jwu31mBDYJgPXIHeOmR29E+Em3tw1RxhXh7HmLtuWhm7+G3Si773DCZbCS6hGFIdIkGQ0906yO7vmR2edlllV2x1y5rPzbWWSu7U5q5+kjKNqmx6u6attPxiju3+1bnyXg7dRLKukzAH9PHKf12y3uOwMf3DsPR/ME43negEmVgXRlYdffixDSX7E5vhyu/SqodMrEkxiW7Kxu5ZPfFCP2+u2yzGoszsN67xzKVip8qzuClwlvXSIM/ZEWv0utJeussvh7kV8z8agSYl2BBhKVC7IclewzVOXDnxp+zRmj1pNZHsTUqt54qt4ESXI8RBS8VXFVMgU3mY506WP6axRRYyzBJX9xbL0a4JHdlI1cVd0mMMvzhyq+ScHl6O3z3SAdcnJim2nDGuiqcGNgXx/sOxNH8wcooX7E/7tupk/BW58lY5950tobL4/JDINims5mxrvc4T+3DWI9cVskVB0HUJZPrs+SS6BJ1hESXMERFRQX69++PyMhIxMbGYv78+bh586ZP98GLrtlsh9ls91DZlbce0xsX7LR1lVZ2PfXa5Tsy3GebpnRkENuPTXB3ZBBzu4u46u6q5Jl4vu10TQuyzanFSs/d9zJH44PskaoBE8f7DsQXD9ynjA8W4wzfl7b3XXj57gx8ftdIpMFThVeINTSU9NZFfHn5NVL1lQowL8EyEeZlWBBiTVVYIsh+WZLHEM9DdY78uYsiy8usTGg9SC1/rfl/g0CKbZ3lVownGKzgeowo8DlcvpuCD4IrdlRgVdyTg/PxxQP34XjfgaoBEB9kj8R7ma6uCju6jsfmVPWUsxe5qMIzrV1VXDYEgo8qTOGiCmL7sAFuyZV1VpD1yJVVcllUwdtYX72NZ7zgss8NEl3CF0h0Ca/88MMPiI+PR15eHvbu3YsNGzagSZMmmDVrlk/3Uyu6VqnoBrKyy48Mlk1R02s/xjapFetsUnvSPUlN1oLsDXcLsi1p3qMMfM9dccjEpZJOuDy9Xe0I4SficX1JjHaq2lrJZjUWZ+CGTUg3rP01X/nqW1Ph9TBlra6N/AMlvd4qvl6rvnrya0SAZSIsyrBsiWKqt7zdj/i44nl5EVo9qfVWrTVSsW2If39D7eo8TTOTVXBPP1BbwRU3mvFDH/iYAr/ZbK12utn1JTG49kS8MsL38vR2uFTSSTP8ge+N6y2qwPfHlbUOW9bKFVXgh0CwPG6xsOlMr32YOO2MH+nbUJXcWtG1kugShiHRJbyyYsUKOBwOXL58WTm2bt06hIaG4ptvvjF8P2rRra3q1qeyGxnRxnBl11tHBrZJzZcog7hRTZym9lr7Umx0V3e3dZmoGjBxILsQH/Z6CEfyhurGGf42prt6qpoR4X3Z3XtXHDbBT1eTRRq8VHilsQaJ9Ppa5a2P9MjEx6j8igKsJ8GeRFgjwzIplsmxP5fssSTnJJ63TGQ9yazRaq3s39ff/8ZGqrce87diPMFLBVcTUZBNNXMPffh5HddNwYvg8tPNxOEPfEzhSN5QfNjrIRzILlQNgGBdFTa6q7h6U87YhrPZcbVVXG9RBSObzlhnBSOVXPZ+XZ9KrmvZSHQJnyDRJbzSu3dvjBgxQnWspqYGZrMZmzZtMnw/WtGVRxh8qezK+uzysisbGexNdsX2Y+ImteLo2k1qs2Jdm9TEFmQsyvCyzjQ1McrAd2YQh0xUj+yBC0XpuDgxDZdKOtX23ZUNmhC7M4hxBsmGNdZ/VVPhFYZOBEJ4G0J6fRFfb/IrCrBGgiUi7FGI/bD0Hk88L/G8xeflSWrrIraBklu/C65s2INQwWVjezUbzWQxBaGbgjj4gfXFvVTSCRcnpuFCUTqqR/bQDH/gOyrIogpb0tRRBbGrAt86bG78bMyKVQ+BkG06E8f5Gu2swA+C0IsreJ54ZqySyz43SHQJXyDRJbwSExODxYsXa463aNECTzzxhOH7qRVdCye6davs1qX9mKwjg7hJjUUZ8mxTPUYZJkTXdmWQbVR72j06mO+5y7ch25Lmmqi2K+Nh7M0arYozyFqR1Ul42bAJNl1N7NBgoMKr9OEVYg2aHK8X6a1rS6n6ypIvVV9RgI2KsJ4Q64lxoJbe4+udryeR1RPaQFRr6yq2hrsn8PEEcVQ0iye4++AaquAKnRT4qWY3f2+rs+CKLcP4mMLeLFcV951u47AlrVjVNmyte8PZb4WuCuKGM76rgqeoQp5tqhJVEDed6XVW8LV9WF0rubWiayHRJQxDokt4JSwsDKtXr9Yc79y5M0pLS3X/3tWrV3HhwgVlffrpp27RDXe/UVm5ZXNtUjM5ape5Mczmxu6RwVEIDWmK0JCmCAuNQXhoHCxh8bCExSMiPAFWTnodEe1qW5BZUxFl64amtgw0s2Ui1tYT8ZG5SIjMR8vIvmhtG4B7bIOQYh2KjtaHkGotRFfrKGRYxyDLWoRe1vHobZ2APraJ6BdZjIH2SRjsmIxhjSej0FmCUc4SFEWXYHzTEpTElKC0+WTMiJuM2fGTMDehGAtaTsSiVhOwrPV4LE8eh5X3FOG5tmPxYsporO0wEus6FWBT6nC8lfYgNncbiu0ZD+DfM+/Hrux++I9efbAvLxcH+vTCof498NH93XFkSDf857BUHC/oiM9Gp+BE0T3468QknJySgIrSeJx+NAaVc6JROa8Jzi5woGphJM49HYHqZ8JxflU4zv8+HOdfsOD8S1acf82B8+udOL+xKc6/FYvqLYmo3pqE6h1tcO7d9qja3RlV76Xj7L4sVO7PQeXBXFQe6oMzH/XD6U8G4fSnQ3HqWCFOHR+Fis8eRsVfxqPixCRU/PURVHwxDRUnH0XFqV/h1Ol5OHVmAU5XLsLpykU4c3YZKqt+7VrVy1FZvRxnz6/C2fOrcO6r3yur+m8vqNZXX7/klyXeL7/4x2eLnZu42LlrFntuXtaZs8vqtIzev9756T0f2XP3dK0C9e8hu/bitT1zdpnyejp1ZgFOnZ6HilO/cr3mvpjmeg2emOR6TX72ME4dH4VTxwpx+tOhOP3JIJz5qB8qD/Vxvab35+DsvixUvZeOqt2dce7d9qje0cb1s7AlEeffinX9jKx3un5mXrK6foZ+7/qZqn4mHOeejkDVwkicXeBA5bwmqJwTjdOPxqCiNB4npyTgrxOTcKLoHnw2OgXHCzriP4el4siQbvjo/u441L8HDvTphX15ufiPXn2wK7sf/j3zfmzPeACbuw3FW2kPYlPqcKzrVIC1HUbixZTReK7tWKy8pwjLk8dhWevxWNRqAha0nIi5CcWYHT8JM+Imo7T5ZJTEuN6biqJd71WFzhI82GgyBjsmY6B9EvpFFqOPbSJ6Wyegl3U8sqxFyLCOQVfrKKRaC9HR+hBSrENxj20QWtsGoGVkXyRE5iM+Mhextp5oZstEU1sGomzd4LSmKhVcR0Q7RW6t4YmICE9Q3q/DQ+MQFhqjvJ+HhkQhxOxU3u/5zwD2uaD+rLC4P0NM+OqrrwL50UcECSS6hFfqKrpPPfWUW2xp0aJFixYt/67S0lJcvXo1kB9/RBBAokt4pa7RBbGie/jwYZhMJhw9elR1nJbxdezYMZhMJhw7duyOn8v/10XXkK7fnV50Deu3vvrqK+zZswcmE8UXCO+Q6BJe6d27NwoKClTHrly5UufNaPTGVHfoGtYfuob1g65f/aFrWH/oGhJGIdElvLJixQo0atQINTU1yrH169fXub0YvTHVHbqG9YeuYf2g61d/6BrWH7qGhFFIdAmvsIER+fn5eP/997Fx40Y4nc46D4ygN6a6Q9ew/tA1rB90/eoPXcP6Q9eQMAqJLmGIkydPol+/frDZbGjevDkef/xxn0cAX716FU899RRtHqgHdA3rD13D+kHXr/7QNaw/dA0Jo5DoEgRBEARBEEEJiS5BEARBEAQRlJDoEgRBEARBEEEJiS5BEARBEAQRlJDoEgRBEARBEEEJiS7RIFRUVKB///6IjIxEbGws5s+f73PXhmBk+/btGDZsGBISEhAZGYmuXbti06ZNuH37tup2b7zxBtq1a4eIiAh06dIFu3fv1tzXlStXUFJSgqioKDgcDhQWFuLixYsN9VTuCq5du4aEhASYTCZ89tlnqv9H11Cff/zjH/jd736HlJQUWCwWtGjRAtOmTVPd5vbt21i5ciUSExNhtVqRk5ODI0eOaO7rm2++QUFBARwOB6KiojBlypRfxM74nTt3okePHnA4HIiLi8Po0aNx7tw5ze3odQhUVlZi6tSpSEtLQ0hICPLz86W38+e1Onz4MHJycmC1WtGqVSusWrVK8z5LBCckukTAYX148/LysHfvXmzYsAFNmjTxuQ9vMJKTk4OxY8di69atOHDgAJ588kmEhITg2WefVW6zZcsWmM1mLFmyBAcPHsS0adMQFhamkYyBAweiZcuW2LZtG3bu3InU1FR07doVP//8c0M/rTvGggULEBsbqxFduoaeKS4uRnx8PF555RX8+c9/xh/+8AfMmzdPdZuVK1fCYrHg+eefx/79+zFixAg0atQIVVVVym1u3bqF1NRUpKamYteuXdi6dStatmyJIUOGNPRTalDKy8sREhKCSZMm4YMPPsDWrVuRkpKClJQU/Pjjj8rt6HXo4t1330ViYiJGjRqFlJQUqej681pVVlbC4XBgxIgR2L9/P55//nlYLBasXr060E+VuAsg0SUCzooVK+BwOHD58mXl2Lp163yerBaMfP/995pjpaWliIqKUv6ckpKCoqIi1W169uyJQYMGKX/+5JNPYDKZsG/fPuXYqVOnYDabsW3btgCc+d1HRUUF7HY7XnvtNY3o0jXU5/3330dYWBi+/PJL3dv8+OOPaNy4MRYtWqQcu3nzJpKSkjBjxgzl2ObNm2E2m3Hq1CnV/ZtMJhw9ejQwT+AuYNq0aUhOTlZVCA8ePAiTyYRPPvlEOUavQxf//Oc/lf8ePny4VHT9ea2mTp2K1q1bq75FXLhwIZxOJ3766Sd/PCXiLoZElwg4vXv3xogRI1THampqYDabsWnTpjtzUncxr7zyCkwmE27cuIGqqiqYTCbs3LlTdZsXX3wRFotFeZNeunQpoqOjNV/Fpaeno7i4uKFO/Y7Sv39/zJs3D+Xl5SrRpWvomdGjR+P+++/3eJsDBw7AZDLh888/Vx1/7LHHkJSUpPx5woQJSE9PV93m9u3biI6OxlNPPeWvU77rKCkpQZcuXVTHjh8/DpPJhMOHDwOg16EeMtH197VKTEzEY489prrN559/DpPJhPLycr89F+LuhESXCDgxMTFYvHix5niLFi3wxBNP3IEzurspKipS5GHPnj0wmUyorKxU3Wbfvn0wmUyoqKgAAIwaNQq5ubnS+8rOzg74Od9pysrKEBsbi6tXr2pEl66hZ1q1aoVHH30Uc+bMQePGjWG1WjFkyBBVvnTt2rUwm82aXP3rr78Os9mMGzduAACysrIwbtw4zWP06tULY8aMCewTuYMcOnQIYWFhWLt2La5cuYKqqioMHDgQmZmZSvWSXodyZKLrz2v197//HSaTCevXr1fd5ubNmzCbzXj11Vf9+GyIuxESXSLghIWFSbNQnTt3Rmlp6R04o7uXjz76CCEhIXjppZcAAG+//TZMJpMm4nDs2DFVtah///7SHOSsWbPQrl27wJ/4HeT69etITEzEhg0bAEAjunQNPWOxWOBwOJCTk4M9e/Zg+/btaNOmDTp27KjkHJ999lnY7XbN3y0rK4PJZFIiSG3btpVm74cMGYIBAwYE9oncYXbt2gWHwwGTyQSTyYT09HRcunRJ+f/0OpQjE11/XqsLFy7AZDKhrKxMczu73Y7ly5f76ZkQdyskukTAIdE1xtdff40WLVqgX79+ShWIPhy9s3DhQmRmZipfX5Lo+kZ4eDgiIyNV14d97b5jxw4AJLre+Pjjj+F0OjF37lwcPHgQZWVl6NKlC7KyspSv2el1KIdElwg0JLpEwKHogndqamqQmpqKtLQ0XLlyRTlOX3d65vz587BYLNizZw9qampQU1OD3bt3w2Qy4dChQ7h27RpdQy80b95c+vyaNGmC3/zmNwAouuCN7t27Y9SoUapjX3/9Ncxms/JNA70O5VB0gQg0JLpEwOnduzcKCgpUx65cuUKb0dzcuHEDubm5SExMxIULF1T/j23K2LVrl+r4Sy+9BIvFoojH0qVL0bRpU819Z2RkBOUGFgar3uqt/Px8uoZeyM/P1xVd1uaObUY7ceKE6jZz587VbEbLyMhQ3eb27dto2rRpUG9Gs9ls0spgTEyM0qmCXodyPG1G89e1SkxMxNy5c1W3OXHiBG1G+4VAoksEnBUrVqBRo0aoqalRjq1fv57aiwH4+eefMXToUERHR+u2d0pJScH48eNVx3Jzc6Vtdvbv368cO336dFC1JJJRU1OD8vJy1XrhhReUCg6LL9A11Gf16tWw2Wz47rvvlGPsK2LWoJ+1F1uyZIlym1u3bqF169bS9mJnzpxRjn3wwQdB316sQ4cOml/mz58/D7PZjNdff105Rq9DLZ7ai/nrWk2dOhXJycm4deuWcmzx4sVwOp00uOgXAIkuEXDYwIj8/Hy8//772LhxI5xOJw2MgKtnrslkwnPPPYcjR46oFsv2MXlYtmwZysvLMX36dISFhan6cwKuxumJiYnYvn07du3ahbS0tKBqMm8UMaML0DX0xNWrV9GqVSv06NEDO3fuxJYtW5CcnIysrCxV26aVK1ciIiICa9aswYEDB1BYWKg7MCItLQ27d+/Gtm3bkJiYGPQDI9asWQOTyYQ5c+YoAyNSU1MRHx+PH374QbkdvQ5dXL9+HWVlZSgrK0NWVhY6deqk/Jn9wuXPa1VZWQm73Y7CwkIcOHAAa9asoYERvyBIdIkG4eTJk+jXrx9sNhuaN2+Oxx9/nH6TBpCUlKT7tXt1dbVyuzfeeANt27aFxWJRJEKEjcJ0Op1wOBwoKCj4RVbMZaIL0DX0xNmzZzF48GDY7XY0adIEDz/8ML799lvVbW7fvo0VK1agZcuWiIiIQHZ2tkY6ANfmHzYC2Ol0oqSkJOhHAN++fRuvvvoqunTpArvdjri4OIwYMUI1OINBr0Ogurpa932PjxL481odPnwY2dnZiIiIQMuWLbFy5UoaAfwLgUSXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEpIdAmCIAiCIIighESXIAiCIAiCCEr+D9z+nxMGzinmAAAAAElFTkSuQmCC\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc50cd438>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aish = AzimuthalIntegrator(dist=1, poni1=p1, poni2=p2, detector=shiftdet, wavelength=wl)\n",
    "print(aish)\n",
    "shifted = cal.fake_calibration_image(aish, W=1e-4)\n",
    "jupyter.display(shifted, label=\"dist=1.0m, offset Z=+0.5m\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This image is the same as the one with dist=1.5m\n",
    "The positive distance along the *d3* direction is equivalent to increase the distance. \n",
    "*d3* is in the same direction as the incoming beam.\n",
    "\n",
    "After investigation of the three translations, we will now investigate the rotation along the different axes.\n",
    "\n",
    "## Investigation on the rotations:\n",
    "\n",
    "Any rotations of the detector apply after the 3 translations (*dist*, *poni1* and *poni2*)\n",
    "\n",
    "The first axis is the vertical one and a rotation around it ellongates ellipses along the orthogonal axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.200000  rot2= 0.000000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1020.339mm\tCenter: x=-1527.100, y=500.000 pix\tTilt=11.459 deg  tiltPlanRotation= 180.000 deg\n"
     ]
    },
    {
     "data": {
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       "/* 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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc502b8d0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "ai.rot1 = rotation\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "jupyter.display(img, label=\"rot1 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So a positive rot1 is equivalent to turning the detector to the right, around the sample position (where the observer is).\n",
    "\n",
    "Let's consider now the rotation along the horizontal axis, rot2:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.000000  rot2= 0.200000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1020.339mm\tCenter: x=500.000, y=2527.100 pix\tTilt=11.459 deg  tiltPlanRotation= 90.000 deg\n"
     ]
    },
    {
     "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc4fe3eb8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "ai.rot1 = 0\n",
    "ai.rot2 = rotation\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "\n",
    "jupyter.display(img, label=\"rot2 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "So a positive rot2 is equivalent to turning the detector to the down, around the sample position (where the observer is).\n",
    "\n",
    "Now we can combine the two first rotations and check for the effect of the third rotation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.200000  rot2= 0.200000  rot3= 0.000000 rad\n",
      "DirectBeamDist= 1041.091mm\tCenter: x=-1527.100, y=2568.329 pix\tTilt=16.151 deg  tiltPlanRotation= 134.423 deg\n"
     ]
    },
    {
     "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc4fe44e0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "ai.rot1 = rotation\n",
    "ai.rot2 = rotation\n",
    "ai.rot3 = 0\n",
    "print(ai)\n",
    "img = cal.fake_calibration_image(ai)\n",
    "\n",
    "jupyter.display(img, label=\"rot1 = rot2 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Detector Detector\t Spline= None\t PixelSize= 1.000e-04, 1.000e-04 m\n",
      "Wavelength= 1.000000e-10m\n",
      "SampleDetDist= 1.000000e+00m\tPONI= 5.000000e-02, 5.000000e-02m\trot1=0.200000  rot2= 0.200000  rot3= 0.200000 rad\n",
      "DirectBeamDist= 1041.091mm\tCenter: x=-1527.100, y=2568.329 pix\tTilt=16.151 deg  tiltPlanRotation= 134.423 deg\n"
     ]
    },
    {
     "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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iy9QqVIlvPDCC+pzkyZNQsOGDQ15nbNnz0ZERESpG4YEAoFAIBAIKgpCdH/lsCK6Bw4cgMfjwcaNGw2fX758OUJCQhQ5nTt3LiIjI00WhISEBEOkVFRUlKFOFgB2797tuuFIIBAIBAKB4D8BIbq/clgR3U2bNsHj8aC4uNjw+bfffhsejwd79+4FAAwbNgxdunQxfc2srCwkJiYCAM6ePQuPx4OioiLD77l06RIqVaqEJ554ohy/G4FAIBAIBILygxDdXzmsiC61YOmh6jt37oTH48G2bdsAAD179kS/fv1MX3Pq1Klo0qQJAODIkSPweDxYv3696feFh4ebGrg4Tp06hSNHjqiPgwcP4q9//Su++uorw+flQz7kQz7kQz7cfnz11VfYuXOnwU4nENhBiO6vHL9kohuslUg+5EM+5EM+5KOsHzt37iztW6bgvxBCdH/l+CVbF3RF94MPPoDH48HQ6iMwLCIPg27MRXr4OPQIy0GX0Gy0D81Cq9BhiA3NRPPQQbjV2w/R3nQ09PZCfW8Pw0dDby9Ee9Nxq7cfmocOQmxoJtqEjkBi6GgkhY5Bj7Ac9K+ai8E35iErMg+5NfOQXzsXM2/Jweyosbg/ejSW3joSK1sMweq4gdjQNh2vdeyOd7p1wvvpbfDh4BbYPaoxPp9QF19OuwkHZofh0IIQHH40BIefrILDz96MQy9G4+DGFij+S0cUv5eKff/IwN5do7D3s8n4Yt/t+HL/PBQfWID9hxfj4FcP49DXj6qPg189jP2HF6P40CLsK56DL/bdjr2fF2Lvx9n4Ymcmvnw/DcXvdMGB11ri0IbGOLy6Jg6vrIbDD9+AQwtvwP47q6B4eiT25EZh96jG+MeAOPwtrS3eSuqKVxN7YF1CPzwTm4Enmg/Fg41HYWF0Nu6sNxa31RmHCbXykH1THjIj8jCgai56hOUgOXQMEkNHo03oCMSGZqJZ6EA08vZBtDddnXm9sO7qf0d709HI2wfNQgeiRegQJIQOR/vQLNPZj47MQ17NPEyrMw531huLBdHZeLDxKDzRfCieic3AuoR+eK1jd7yd3AXvp7fBPwbG4tPsaHw+oS6KZ1T3nfsDN+Dwsso4/HR1HP5TXRzc2AL732qLL//WA/s+6I+9H2f7zvzLO31nfmiR4by/+udj6n/vP7wYxQcWYF/xHOz94jbs/WQcvvhomO+8/5pkPO8nq+DwoyE4OL8yDtwdjn0FtbAnNwr/N7QpPugfj63dO+KNLinY0DYdz8f3xxPNh+LRJiOwIDobs6PGYlqdXEyslYusSN9Z96nie9aTQsegfWgWEkKHo3noIMSE9jc85/XCuquzpuc8JrQ/mocOMp1znyrjkBnhe8Yn1srFtDrjMDvKd86PxgzHk80zsbZ1f/y5XRreSuqKv/ZIxD8GxuLjEU0Cz/Y9XhxadAMOPxZqfcb/yMDeT8Zh7+eF6oz5M206X/5MfzoBe3eNwr4P+vue5zcScOjFaBx+9mYc/kM4Dj98Aw7ODUXx7Tdi78Q6+DQ7GjsHtcS2Pm3wdnIXvJrYA2tb98dTLQfj0ZjhuD96NOY1GIMZdcchv3Yusm/Kw7CIPPSvmoue7HUkPnSo4TWEnys/20bePogJ7a+e4cTQ0UgOHYO08HEYWC0XI6r7Xjum1M7FnfXGYl7DbCy9dSRWNBuK5+P7Y0PbdLzVNVmd667hMfhsXH0UT4/EgbvDfc/uoyE4vOomHFoXhQOvtcT+t9vjy/fT8MXOTN/5fHEb9hXPcXytKD60CF/un4cvvrwTez+bjL0fZ/vO9L1UHNgUj4MvNQk8s4tvwMF5lVE8ozq+mFwHu0c1xs5BLfFezw54K6kr/twuDWta9UdRi8FYeutILIoejTvrjcW0OuOQW9P3LA2s5nttTg4dg06ho9EqdBhahA4xnectYSnqg86UXpNbhQ5Tz2rPsBwMrJaLYRHW5/lE86FY0yrwnL7XswM+6B/vew0efwuKZ0bgwD1eHH7wBhz+vRcfPFoDHo8HX331VVneNgX/ZRCi+yuH0zLaq6++avj8Y489hpCQEDXumTt3Lm666SbT12zTpo1pGW3mzJmG3/PJJ5/A4yndMhqpwyOr5yGr+jRkVpuGvuEF6BU2BV29E9HJm4c23jGID8tCy7DhiAkfhFvDB6JReH/Dx63hAxETPgjNw4ciLmwk2njHoL13HJK9k9AjLB/9qkzFkGqFGF19OvJqTMe02tMx65ZpmBtViMXRBVjeZDJWNR+PdXE5eL3tSGxJzMSOlL7YndYDxRmd8fWItvhhQjOcKGyEs3Nq4cLCCFxeXhklRSEo+Z+qKNlYC5e3NsGl7a1wYVdnnNvXG2cOD8ep7ybg1PEZOHV6Ls6cX4JzF5fjQslKXPrpaVz+ebX6uPTT07j009M4f3kFzl5YitNnF+HUydk4dXwGTh8dhzOHh+P8nu64sKszLr/bDCVv1UfJhgiUPBeKyytCcPHBcJy7tyZOzYzCsYlNcTQ7HvsHdcKePqnYkdIX73YehNfbjsT6+DF4tmUuHm8yGUsaTcHcqELMumUaCm72ncuIG6dhUNVCpIVNQTfvZHTy5qGdNwfxYVloHj7UcP4Nq/RFwyp91fk3DR+C5uFD0TosG+28OejinYBu3snoG16AQVULkVV9mjr7O2+ZhoUNp+KhRlOwstkEPN8yFxsTsvB2h2F4v+tAfNyrJ/b2S8bXI9riu9yWOHlbA5yZXRsXH6jqO/fVlVHyYjWUvFEPl99thosfJeL8nu44c3g4Th8dh1Mn7rA985/+vcZw7urMzyzw/bnvJuDM16Nwbm8vXNjVGZf+1sJ43k+E4OLiKjg3rwZO3tYAxyY2xT9HtkFxRmd83Ksntif3x9sdhuHlhNF4tmUunmw6EUsaTcH8BlNxe91pmHrzdORE+s56QJWpSAubglTvJCR6c9HGOwZxYSPRPHyo6ZzprOk5jw/LQhvvGHTxTkCqd5I655ER0zC+xnRMvXk67q43DQsaTMWyW/OxstkErIvLwattRuHdzoOwI6UvPu+bggNDOuLbnFgcz2+CM7Nr+57tx0NQ8nSI73veVBeXtzaxPOPTZxbg7IWlOH95heGZpjOm8z13cbnvfE/OVud7trif73y3t/Kd7ys1ULK6Mi6vCMGFRdVwdk4tnChshO9yW+JgZiL29kvGztQ+eLfzILzaZhReiB+Llc0mYNmt+bg/ugB315uG6bV9z3FW9WnIqFqI3uEFSPZOQidvHlqHZSMubCSahg/BreEDDefKz7Zl2HDEh2UZnuF+VaYis9o05EROx6Sa03F7Xd9rx0ONpuAPMZOwJnYcXk4YjXc6DsEHyf2wp08q9g/qhKNj43A8vwlOzYzChYURuPRIKEpWVfa9Zvif3Qu7OuPc3l448/Uo3+vFydk4fWYBzl1cbjpXOtMLJSt9Z3p2EU6dnotTxwpx+ug4nC3uh/OfpuDStlhc3hwdeGaXV8bFB6rizF11cKKwEY5mx+PQ0A74JL07dqb2webEoXi1zSisi8vBk00n4pFb8zGvvu+1Ib+W73nNrDYN/apMRTfvZHTxTlCvy/w8G1RJVx8Nq/RVr8txYSPROiwbnbx56lkdUq0QYyKnY6J2nisszvPzvik4mJmIb0a3xvGCxjg9qy4uLKoWeC3YEIFD66Lg8Xhw5MgR1+8/gv9eCNH9lcMpXiw7O9vwuS5duljGi/3lL39Rn9u3b59lvFh0dDQuX76sPnfPPfcgIiKiVB4pIrqDbszFoKqF6BtegG7eyejqnYj23nGGN343JJfe/Dt585DsnYReYVPUm9To6r4X1Wm1fQRgfoOpWBxdgBUxk7Cq+Xisjx+D19uOxLudB+GD5H74rHc3FGd0xjejW+P7vBY4OaO+kWzRG9amuri8pTEu7myHC7u7+kguvWk5EC7+caFkpZHknrgj8Oa1PwPn9vbCxZ3tfKRrU12UvBSJklU+UnDxgaqKdP04OQZHshJwYEhH9Sb2Tsch2NR2BNbF5WBV8/FYETMJi6MLMK9+IWbW8ZHcnMjpGBkRIAepfnJAb2bBSC4nCO2949DFOwE9wvLR2/+GllXdTL4euTUfTzadiLWxOXg5YTS2JGZiW9IAfNQ9HV8O7ILDw9vh+7wWgcvFomo+AraqsiJgl/7WAhd3tvMRhYND1MXi9JkFOHN+Cc5fXmFLcg1nTiT3+3ycOTwc5/b1xsWPEnFpWyxK3qjnO28/Cbv0sFddKn6Y0AzfjG6NLwd2wSfp3bEtaQC2JGbipdajsSZ2HP4QMwlLG0/BvPqFuFO7UGRULUQvP8mlsyYiFhM+yJHkxoWNRDtvDjp589DNO9lwzuNuClzkFjaciqWNp6Co2QSsiR2nLnE7U/vgs97dcDAzEUez433k4Y56uLComiUZu7gjAef29sLZ/Rm2Z2xFci+UrDRe3I4VKpKrCNmWxr7zXROGy4/7Lm1n59TCydsa4Lvclvh6RFt83jcFu3qm4d3Og/BGu+HqWX7k1nwsaliAe6IKMb22j4RmVZ+GIdV8zzG/rHGSG+wCoZ8tvX5MqjkdM+pMx9yoQtwfXYA/xEzC6hZ5eDlhNN7uMAwfJPfDx7164sCQjjiSlYDj+U1w+o56ODevhu9cV/ovxq/V9p2rzbNrdXnQSe7ZC0t9JJcuwweH4PynKbi4I8FHcjfWClzMHqiKc/fWxInCRvg+rwUODe1gujisi8vBU/4zXdhwKmbdMg3Tak/HuJt8z2u/KlPRK2wKungnoL13nHpdoPPUSS4/09Zh2WjvHYdU7ySkhU1RF7KJNadjeu3puMd/nissznN3Wg8cGNIR34xujWMTm+L0rLo4Pz8Sl5aF+oQG/2vBwVeaCtEVuIYQ3V8hzp07h/Xr12P9+vVo3749WrRoof7/Dz/8AABYu3YtKlWqhHnz5mHr1q3Iz8/H9ddfj7///e+Gr5Weno6oqCi8+OKLePXVVxEXF2dZGBEeHo7MzExs2bIFy5YtK1NhBBHdvlVyDUouqVtWJMuNktvVO9FWyb29boDkLrs1H6uaj8fa2ICSS29WpOQS2VJql67kbmmMS9tiAySXvWmdOj0Xp88uslVnTKqXptCcOTzcoCxe3hwdIAVP+EnXvBo4Pasufpwcg6Nj43BgSEd83jcFO1P74L0uGdjUdgQ2tMrGqubjFfGa32Aq7rzFpy6Or+EjuUQOeoTlG97MWoYNtyQITpeMVO8k9A4vQIb/DS0n0kdy+dkTSXip9Wi80W443u86EB91T8eePqk4NLSDkYCRGvZ0CErWhvuIgv9ycf7TFJzdn4HTR8bg1LFCnDo521bJtVQa6cy/z8fpI2MCJGx7Kx8Je6UGStaG+877kVBcWBiB03fUw/GCxjiaHY+DmYn4rHc3fNitt7pUrI0NkIZFDQNq4/ga0zG6+nR1qUv1TjKdNT3rOhEj1ZzUsURvLrp6JyItbAoGVJmKETeaFccljabg8SaT8XzLXGxolY3NiUPxfteB2J3WA/sGJOFIVgJ+mNAMp2ZG4dy9NXHpYS8uP+E/41dqBKYUu7vi7P4M3wUuyBnrF4kz55f4LhLs4nZ+T3dc/CgRl7c28V3c1oaj5Gnf83x+QXWcmhmF4/lNcCQrAfsHdcLHvXrig+R+BqX8D+zCRsrjuJumY5hfKe8Rlo+u3olo581B67Bs9TpiRXLpbFuGDUcb7xjT2Y6MCFwg7rxlGhY1LMAjt+bjKf8U6I12w7G102B81D0dn/dNCUwiZtQPXNJWhPjUx1dqoOSt+oZzDfbsWk4g6EKsX87oMrwhAiVFIbi0LBTn50fi9Ky6ODaxqbqY7U7rgfe7DsTbHYapSQ+d6dyoQsyoY31xoNdmel2g89RJ7q3hAw2XMrr89mPPKr0mLGgQuJCtjc3BprYjLM/zRGEjnLu3pk9seCIEJc+F+l6DN0fjwGsthegKXEOI7q8Qhw4dsjXncyvBU089hVtvvRUhISGIi4tzrACOiIhAlSpVMGTIEHzzzTHmma0AACAASURBVDem37dt2zYkJiaicuXKqFevHh544IFSVwAT0e3uHVuhSu7SxlNMSu7WToMNSu6RrASTkntpWahZyd2R4HvDKu535UquX/U6fWQMzhwc4lNyubJI413/+Pz8/EhFCr4Z3dpAurZ2Gow32g3HC/FjsbpFnrIrLGhgVGuyqk8zES9ODtyQXF1hJNVmxI0+u0LBzT6FcV79wHiSyNfbHYbhvS4Z2NUzDXv7JeNgZmJglH5XHZxfUN137iuNNpGLOxJwfk93nC3u5xulHys0XCz0Mw+mNJ4+MgZn92fgwu6uAVXstdooWROGkiKf0nh+QXWcuasOjuc3wbc5sepSQfYQGqkXNZuA5U0mY2HDqZhTz3fWEx3URjdnTUSM1DF6zjOqFmLYjT4ill/LpzjOq29UyOgysS1pAHb1TMOXA7soO87J2xrg3LwauLi4iok80LN9bl9vHxn7Pt83Wre4vNlZQk6dnuuzOTALjmE64Sdkl5dXVudLl7b9gzrhs97dsD25P97pOAQvJ5iV8lm3BOwgIyMCdhC6MDtdIPh4nc420ZurLE/8bAtu9pHc+WwaYWUFOZiZqEgZkdxLy0IDdpu36uPS31o4nqsdyTU8t+xydm5fb1zY3dVos1ldGZeWheLComo4Pasujhc0Vq8Ru9N6YEdKX7zdYRg2JmQpksvPdFJN35kOqVZosizoFhCu5uqXMt1eQ5YFKwsITXe2dhpseZ6nZ9UNTNSeC0XJhghc3hyNS9tiUfyXjkJ0Ba4hRFdQYSCimxQ6xqDklobk2nlyB1W1V3JXxEzCU0zJ3Zw41KDk8rH5mdm1jWSL1C6u5O7tFfAuaoSrVEru8Rk+D+PBIYE3Lxrv+pXFkpUBlYaTrkNDO2DfgCR81D0d25IG4M32ww0+0Yf8JFcnXrovOtGba/AzkgpG5Iufv53CSKrNmMgA+ZobVYhFDQvweJPJeEqzinC/6JGsBPw4OQYnZ9TH+fmRuLi4iu/cnws1qmG7OvsuF4eH+4jCiTtw+uwiR8+opdLIz1y3iGyIQMnTPhJ2YWEEzsyurUbq/xzZBnv7JePjXj3xXpcMgzLGPdC31w2QhsxqAbUx2TsJ7b3jTN5RXXHUL3TcGtLXP1bPqu77b0y3UBxJIXun4xB82K13QDEfG6fIgxUZM/hHHWwhQS8STHVUvlzykHLLwuIq6ny/zYlVloWPuqerS5tuWbjzFp9S7nSJKK1loat3osGyQGfLLQt8xP5m++HYntwfH/fqif2DOinLwqmZUb7XDVLJ6ZLGrCBuztXqubW7PFze0jhwOVtp9JL/MKEZDg9vh30DkvBht954r0sGXm87MqjX2eniYKfm6pYFfikbcWPAxjSnns9es9z/mrChVbbhQlac0Rn/HNkGP06OCUwdbCwgxX9NEqIrcA0huoIKAxHd9qFZ6k2/ZdjwoCSXFp/KquQ+2zIX6+PH4NU2owxK7pcDuwSUXLYAdWmZxdicK7lEtlwsnumK15nzS4yLZweHqNHupW2xPoXG77crWRkY7/Lx+aGhHbCnTyo+6p6OdzsPwpvth2N9/Bg83zIXK2Im4aFGAZ8oH6FztYbUdPoZuFVyadSrK4x8jH4PW/pb3SIPL8SPVePeD7v1xme9uym7wrGJTQO+xoe9vpHvmjCUvBSp1BuTF9q/wBNsMYr8jYosaMt+Fz9K9C37vVHPR/hWBVSxM3fVwb+mRSvC8OXALupS8Ua74Xip9WisbpFnGKmTB3pMpNHnyC8UTmdtRcT0Jb/R1X0/zxl17JfPuEJmWD7zK+aXl1c2LJ8p77PfisMX/M5eWIpzF5cHPWOlluuqI5Fc7iH1EzKr832/60Blv3mq+Xg83mSy8uXShW2MjfJIy1JOlgU7z7PV2d7PnuH18WPwZvvheK9LBj7u1dNsBeG+XE0lP/9piu9cj4xxvayqK+Snvs9XF2J1OXuttu+5Xemz2ZybVwOn76iHHyY0w5GsBOwbkKQuZm+2D0x7iOTO9Xud+cVBX5YMZlngrw10KevFLr9kWeAecrqQ0WsCTXf+ObKNmqrZWRbIvrTv732E6ApcQ4iuoMJARDchdLhStq5UyXXy5JKSSySXK7l8Aep4QWN7JZfIFqldpOTaeHKdFkpMqqLfa0fb6Je3NvERgv+pqsa7pCweL2iM7/NaKFKwq2ea2vjfmJCF51vmYmWzCVjaeAoWNpyqSO4kPzEYZkO8nJRc/Y2MlFxdYeSXDFJtOPnamJCFdzoOwfbk/vgkvbta+vthQjP8a1o0zt1bM+BrXFXZp/wRAfsosdQqYzB/o20CgEXCwjejW6M4o7NppL42NrCxPr/BVNxdz+iBpjQLWj4jtZF7R50sC3ShSPVfKHRrCI3VlzSagiebTsSzLXPVUg9XHEkhU4r5g74pQcmaMMMlzkDGvs+3tYXo3mfHRSmuOr5YzeQh/XFyjEoMofPdkphpsCw8xNJCKBGgvCwL3JfL7SBWloWNCVmWI/bjBY2NvtxVmmWBUlm+HuVoBbFNWeBWG7cpC2PjcGhoB3zWuxt2pvbBlsRMvNpmFJ7XUkHuZF5nmj7QJZjSV/TUCj1lgVtsSIDQLw4z6/guv9xD/lJr30Lq9uT++Kx3N0NqBe1HqEVJi/Pc948MIboC1xCiK6gwENGNDc10TXL5uNxqw39khO/NP7+WUU1cxka5RHIpyurzvik4PLyd74XVvwB1fkH1AAmgsfkb9XBpW6zalj67P8NkVyBV0clnR2TAFGm1r3dgEYoWdf6nqo90La8cGO/OqI/v81rgSFaC2vgn0rUxIQvr4nKUT5TUrxl1pqs3Mdr6dyJeXGHU1XQ9gonHW/EYsVm3+BRGnXy92X64bcKCGqXz5TOWbGEgYC4Xo4JGMu3pbr5Y+FUxAwnzEwZSz/WROiljc+pNw4w61mqjviAVTDnX0yxIHRtmYQ25ny1Ykmr+budBhqWeb3Ni8a9p0ThzVx2T31H3jyoyZhMlppNcO8uCZYrFc6Glsiw8ZWFZoPF6eVgW9CgxbgfhloVVzcfjpdZmywIfsZNlQT2/uq/cRXpFUKsNn0LwpT7yk8+PxMkZ9XFsYlN8PaKtSSFfHz8GTzUfb/CSz6jjI6J6PBufPgSzLPDXBloK5hcHfimjy+8L8WPxetuReK9LBj7s1lu9JpCHnC5kl1cYFyX5ee7dNUqIrsA1hOgKKgxEdJuFDgxKsOzG5WVRcsmuwJVcUmNMC1BcySUFwULJPXN+iYEIuFZyLVRFtQj1YjWDR/TsnFpqvPv1iLYqu/WD5H4qC3NN7DhFCnTSpee3JpcyRkxfiCJywC8ZPEaM7CKUNfpS69GGC8a+AUn458g2hqxcNUovCvF9/+TDY29qwZbPrAiYsixoy2cmpdFPFnSLCC3yUCwTeRyJMPCROinno6tPVx5oqzSL0uQSk3eUnnXKICV1jKwhRc0mKP/ze10ysDO1j1ryU884z8slxZwucR8lBnKgS0FyDX5zK8sCpYbwPGJ/7BW3LJCHVCdkj/sJGbcsUFoIxRKWh2WBJhK6ZWHZrfnKdmNlWfg+r4U5vYJ8uWyxr6yWBcOluAwpC5+kd8f7XQdic+JQ5SVf3mQyFrPXCP7MliZloWGVvkqE4PFsNOWhS1nBzb7ndX6DQIY2xd5xD/nh4e3wbU5swD5GJNchtWLvpxOE6ApcQ4iuoMJARPdWb79SKbl8XF4WJZdIblAldzUjASyz1UC2/KPHUiu5jAzQCPLijgSfR5RI7urKhmxRnt1K43O9EIJIwf02WbmDqhrVL7fES1dr+FiSIphy2JvZvPqFhpziDa2ysantCBP50v2ihlG6nyQYls+4yhhk+YzOvdTLZ4+HqIsFzx7dNyBJxTJtThyKDa2yTT5oPeqK8nKTLXyOwdRGqzQLqwsF9+U+3zJXPedUesJzXQ2KY5GDYm5hx3GyhZi8z/7kENNFwp9ioROyo9nxBksIzyNewSwLVst9vcrRskBRYmRZmFe/EEsbT1GZz7plQXmeHS4QV1oMwS9ohhxiisCzWOr717RofJsTi8PD22FPn1QVf/d625FYEzsOK5tNUAuqt9cNZDzTM8vj2fgl2E7NtYtny2BTnum1rb3OVBSzO60HvhzYxZSZqy6+9Kz6C0xIcDj13QTs/WyyEF2BawjRFVQYiOhGe9MdR+WlUXJn3RJcyf0kvbu9kvtIaCBLlBag7JRc/9jcjZJrIFs01qWGKIq04qoiEa5F1XDu3pqGFq79gzqpiKAtiZl4ve1IrI0NjM8XR/uURSIFnHT11mLE6E0sWLSV3nrGw9/JK5pfK9A4R/47Wvx7s31gjE6qjWHz3+/BM+S4+pMtzn+aYo5icjlKNxAwfVNdXz4ji4jf30hkgZcWbE/ub0q0sGo+475Rq3Yup1IIHs2k5xJbNczxUgjyOm5LGmDwPxuW/OicreLaNMW81Hm5/ouEKjqhy5tmCeF5xKSWf5LeHTtS+qrpBPnMOSHjzXLkMecJFm4vETwRwCpKjJRHbrvZmJClLhCfpHc3tnVR4cYys4+UL/YFu6TZpixo7WdOKQtWCrlVysICv5ecSC5ZFsqSskCXYCK5/EzJR84vZTR52NR2hMrQpti7YxObGj3kRfaWBbKAfLHvdiG6AtcQoiuoMBDRbejtFXTxjKsvVkouZbXOZUruKhsll0guKbmkcl180FcM4FrJ1ciWE8m1VXL3dA+QAVIVqfXMX+17+o56SvVyKoSg1jNOuigrN8OflRusEMIqRoyri7QQlebgFV3UMDBGfyF+rOGSoepRrRIW9LPno/SrvXzmUO/LSwu2dhqsfNCcMPDYNl7AoftGuT3EqbhAJ2L6gpRem0q5xJw47BuQZPA/q811qzEwV8yPFdqSMVvLglbxa8p21S4SelMXJ2RkWbDLI6bzJY95eVoWKEosmGWBpwJYFm6wC4ShGKIslgU6V3+BjPI7axF4hhxippDzxr7nWfzdPVG+ic9Ev2Vh2I0Bm42V19mu5lfPzNXPlOc7L44ucLw4HM2O98U66h5y9ppgelZPzsYXX94pRFfgGkJ0BRUGIrr1vT1slVyKECutkmtVBkFK7pGsBKOSOz+y1EqublewihBzVHJ5OcGWxoHFM3+kldtqX4oIWs6yW2l8TnWztPFPPkZahrrS1jMeI8a9onTJWBcXyHDltbPfjG4dGKPzzX99KYqdPRVx0OXCLuLKUmW0ImB6liu7WDjV+5J6XtRsgmk5yq75zGr8G8wDTZc6q+Uzbg3hDXOkmu/qmWZePptd21cKEWz5zGGs7rh8po3WDRcJVll9YVE1X8XvjPqWecQ89kr3kDqdL10i7JRcnZDRs2wV0zbHrzzyyxpflto3IAmHhnbA93ktVEqIZfQViyAMll5hWwyhXdCI5DqmLPgjB4OlLMys43udIJKrN8rxi4NVyoKVZYFIbobFmZKP/FnW1McnD0ez4/Hj5Bjr2LsgFpAv988ToitwDSG6ggoDJ7p2Si6piKTk9g2i5C5vMtlQ62ul5BLJ5UTLTsk1jHMtxuZ2b1aWqsz3+cYaVO4PZWSASK5e7bu3X7Ja1NGzW/XWMxpFEimgjf/SFELYZeUOsMgqnsPGkuRnfDkhEBnELxmUjXl2Ti0f+XqckVwWAm+XbOGm3tdw7sGWz/z1s27qfbl6TtmjlGjhFNtWlrxcOyJ2dz1zDS3VphpU87Fx+HFyjPI6XloWarnkFyyurUwVvzsSDCkWVKFM2a7U5ndgSEdlw9mcOFRF4+mWkAILywJNJvTz1X25pbEsWMW0ceWRPM+OlgWdlGln69ayYHWuypert/bNj1RTCLuUBV0hp/i7ETcaUxbIZhPMskAKOaWCcK9zZjXreDae7/xu50HKr2+4OPib+vTYu0vbW/kqv7U2xDPnl6D4wAIhugLXEKIrqDDoRNcuvooTLFJyx2tK7pJGzrW+XMk9eVsDV57c83u6GxdzyqLkkipDahcnWxQLxMe6i6soxcup2pe3cPFCCPLb6eNzO1IQLCuXF3LQmxi1nk2saSZe5BXldpHdaT1UBNOxiU0DtbN8jE6LO/5FE9PZO/hFLUkuO/egMWJ6lqv/YsHrfcnfyJXGe2yWo/Tms9IUcOgj9SHVfL5cu1xisoZQw9wn6d0DRExfPnOKa7M4Z10xt83LJe8zlZ3wZ1tLsaDKaqr43dMnFR8k91PReHoeMT3TVst9Vs1ydiQ3WExbwc2BpBae72qlPOrLUvoFIljhRrC2RJ6yYNt+pucQ++1NNIWgpUne2GenkGdoC6r6wqRVygK9VuuNcvwSTNMHfnGgZcktiZlqykNNfSr2jl9+X4pUJNfKskDP6v7Di4XoClxDiK6gwsCJrtVmPw/IpzIC2jjnSu6SRlNMSu6WxMygEWKulFybBShXSi4PePerMoZNf8oUZeUE5+dHKjLwbU6sirRyqvblhRB66xmNInVSYFcIYeUTJTWdR1uVJkZsb79kU4arQQX7n6pqm9qg2vCztwjVt1s+07Nyy7J8trdfMnb1TDPV+5LSuEDzQY+MMKtiVGftdvmMh+zzFABqk+JEjKuNb3cYpp51imwzqOYUz2TTMGd1zsHi2oKN1tWzvaqySrGgopPvclsazpja/F6IH2vII77bwbLAz7c8LQuUCFAulgX++uHSsqAXQxisIHY5xP5n9+jYOBwe3k5dislqY5eyQBMI8uVeScoC+fbpYqanLFh5nXen9cC+AUmqLEb59a0uDnT5JQuZFnt38KuHhegKXEOIrqDCwJfROLnio1uKr8qsNk0RrOlaGcEfNCX33c6DlJJbnNHZWOtLJMuNkkvLI6VUck2Koj4239rESLYsIsTcVPsubRxoNKIxJAXo64tndvXKupKrx7jpPlFa2JnOtv4pE/N5Rry2J/fHrp5ppkKIs3NqBSKYyH/H7ArnP00JEAQtvq1UWbks4soxRszvGaXFKNpUt6v3XdrYrJ5zHzSvSw1Gwui8OWHQq5Rp/DvLH3XFl8/oQrEtaYCKZqKgfQMRK+XyWTDFvFR5uRaRV3y0TmdMlhDKI57L8oizqk8zZLvaNcs5LffphGxQ1UBMG1fKieTShVnPdzUpj8zzzC8QhouazdnqlgXTJc2q/YxILi1O+nOI+VIfz3nmKQvU2GcXJXYlKQt0MSOSq6csWBVD0LIkFUOcm1fDuqlPt5AdKzTZa4ToCkoDIbqCCgMR3UbePqaM1lTND5pVPZAdSvmWXMldF2dWcoszOhtrfXW7QjkquSaSyyOBrJRcf81sycqAx+7UzCjlD6U3LSIDVtW+ixoGVC9q4dLH5zrpclsIwceRdq1ntPXvFCN2aGgHHM2OD/gZF0YEMlzpzYypYIalKBdlBY7tUQeHlHn5jNfP8nE6P3OunvPSAl0VC3befKSuVynzdq5FDQvweJPJKjKPcok/7NZb+Rxpa93QMEequW4NYeqY1VidzpnO2hTX5iIvl7d0/Tg5RqVYWFUo84uEnkdsZQmxS7BwY1kYYWNZoAtbWSwL3FuufLnlYVmwaD+zyyGmxUnKeX6WpSzMqTcNM+tMs1XIryRlgaY9tJxKCSy0MMmnD+R1NsSz0fO6LNT3ukgXB74syUtMtIvDoa8fFaIrcA0huoIKAxHdmND+tkouvSGRknunpuSubpGHDa2ylZK7I6VvUCVXeRXLUclVZRBaH70iAXxsztUuhwgxPjqncoI/MCX3bha5RKpX3/AC0yIUH587Kbl66xknXeQT5XYF/jN4qfVovNFuON7vOlARL6tCCNU4xzJcuV3B6s0sWCGEpV/UH8VkihFjNhGrGLHdaT0MTXP8YqHHXPEzL0vzmdWlQm8+4yN1vd53a6fBplxi01kHI2Iu49qc8nINEXlaXi4tn+lkjKcB6KP1WbcYLSGUR6wv91mdr13FLz/fzGqBtBCrmDZ6lrclDcCunmkozugc8Jfr+a4WyqPuy3Wq+HVVnUyTCObLvbCoGk7PqmtYnOQ5xBsTspTVZjErj6GUBXpuuUJ+JSkLZFng8Ww8ZcFNMYR6XjdEoGRTXWVZUCTX5vIrRFdQWgjRFVQYiOg2Dx1kUnIzqhYquwIRrDvZ+PZxf7MObZxvSczEjpS+Ssn9ekTbgJLrr5Y11PpWgJKrxubct+jPbFVKLquZJY8dLycgJXdN7DhDpJVe7ctboqzG527qZvWNf4oJorYo7hPlCRdlihGzGqNrCmOwsgLbrFwt4upKls9oU53qfYMtnzk1n9klLPDmMz5S55eKR1iaxcaELLzTcQi2J/dXlzrKJT55WwPfWdPWuo131Gqhp1RJFhTXRpcJm7xc3T9KLV2UBrChVbZlhTJdJJzyiIP5cp0sC/pyH69PpmfZ1rLA8101y4LB8+z35QazLDgVQ9i1n9Elza4YgqcsUDHEVGa1sVrqK0vKQq8wY6McTXvm1S9Uz6xTyoIh39nC66yWJcnKZON1FqIrKA2E6AoqDER0W4UOU4oLJ1c5rIiA+0GfbDpRKbmb2o5QSu6ePqlqxKiU3Nm1cfGBqj6SS0quf1xerkquFmWlNtBJyX2rfkDJXeHbQie1SydbRAQ2Jw5VNag0OuflBJNY0LtVpFVpFs/4eJerNHz5707NJ6r7onem9lG1qDzaytDGpbWemewKQRRGV+SL2xX06ln/9n+wGLF1cTmGxSga+1KM2IggZ25FwuwSFvTmM04YdA+0Xb3vj5NjVHGBafmMNcy5yXQtzfKZaUlKy8s9UdgI3+W2xKGhHVQ8HuXlro8fY8rLpQKDMZFmS0iwUgh9tE4+c1ru08/3zluMMW1rY80xbariN7+JbcWvZYmBi/YzU3rF8RmB9ApuBdlYK3A59pNcstscyUrAvgFJKoeYFidXt8gzLPVNr21sP6OlST3+zorkuklZ0L3kesrC5sSh2JnaB5+kdzdYbJwuDobn1cGvf/nn1eLRFZQKQnQFFQYium1CRyhFixcR8Piq+Q2mGpTcF+LHKuWF3vS5knuisJGtkkskt6xKLldirNIVyBuqlFzWvlWy0ki2ThQ2UmoXBecTyaWx7lPNx+MRjXCRqsgjl3SvXTAl16oQIlmzjeREBipR59UvxP3RAZ8oT7ign4FjjNgqzRNNffVsjO5WYSTypZbP7LJy9eWzhRGG5TPdC60vn1HT3Mw69stnbpej7BIWePOZPlLXq5Tf7jDM1M6lIvM4EXvaYQRM1hCXNcqWiiPPdd3axPd8r/WlmNAlTvc+707rofyjbip+B2gXCd0S4pSXa0fI7CwLvD6ZFimv1LLg5qLsyrKgtZ+dnlU3aDHEymYTDMUQVikLTs9taVMWJvq95Pf4veTcZsMb5fYNSMKRrARjysIj/tdn3WKj1SbrZypEV1BWCNEVVBiI6HYOzUZfTcktuDmw0LCwoS++iiKVyEP3XpcM7EztowLyKabm5Iz6zkquf1x+JY1nJiXXv31uq+T6F6CUksvG5hQhxssg+BLUslvzsbDhVDXWnVTTWE6Q5h9BUuSSm0UoPcpNH5+P0Db+eYwbXTR4tS+N0OlnYFAXeSGEResZJwduCyFsN9Qtygp425zbGDHKJ+ZNc3qMWKrNmds1nzUPH2oiC07NZ/ezlj/ugbar9w1aXODgc7Rb8nO9fGaRl0uNftz7TFYcu7zcYKN1O7Vcz38mC46+3MfraO9nzXIvJ/ia5bYn9zdV/J6cUd9c8ftKjYC/PEgigKsoMYv0CvXawawgRHK/y22pXjd2pvbBu50H4dU2o7AuzjmH2Kr9LBjJdZOyMJ0p5G5SFpyKIUz5zhZeZ36ml356WnJ0BaWCEF1BhYGIbnLoGAO5okpZKiJY2tinujzbMlct4pAflKuIP0xoppTcCwsjjEruKzVMtb6lbTxzVHIpykpXcjfWMozNLyyMUG9WnGyRkss3/Z/yj855OQERLr3aly+UBFuEslNy07SNdCIFpNKQj3FdXI4pRozUdPoZnJ1TCxcWVbOOEduRYCIHdn5GxxgxPu51ysp9IsRQqcyXzz7u1VMtn/FUC55PzJvmyrp8ZpcA4Kb5jEbq5BtVIft6msUj5kU/u7PmqnlQa4id4rgt1lIxp7xcyoH+vG+KgYxR8Qa3hThV/AazLOh5uVwt55YQnZBZNct91D1d2W+u1LJg9xrCz9bRskCWm5VmX25ZiiEGWbSfxYWNNCjkdpYFq5QFrpDTZZjytOnyQBnPpkY5PWXhxWqmSmo939nOBnLpp6dRfGiREF2BawjRFVQYiOimh49T3jkak89l5Gplswl4tmUuXk4IqFrkB90/qBOOZscrJffsnFoBJXdVZWsl1z/CLU8lV6mJLpTcYGUQRLa4kstrZmmsW1YlV69XTrXIbqXx7j3+iCAaRfIYN8tqX/JFU8boaqYu6q1nzBNNxKtUCuOxwkCMmENWLmUUn5xRH9/ntcCRrAQVI7YtaYBljNh8tsAznjXN9asyVdUpt/PmqJgrp+azYAUcbprPtnYarHzo3AN95q46xo11roz5l3mUNacU1hBDwoLT8pmmOHLFnJbPPuqerhr9yPtslZdLaQC9bUbrbpfPqOKXnukRNxqzXe3qaHek9MXnfVOMsVdU8fuIg1JO/nL/ZVl/jh2jxHgUnv8ZvvxuMx/JtUivIF8uVSeTSv5ygtFuM6++7zVDP1d+KbaqTbaKErNKWaAkFqsosdUt8pxTFu6oZ45nc7LYaCRXV3MvlKzEl/vnCdEVuIYQXUGFgYjugKq5akw+s840zGGKFi3hrI8foyKVaKnhwJCOSsn917ToQBnB8soBZYsvPunj8nJUconkBlNy+dh834Ak5VsksrUuLgcr/dvSupKr+0PpTYurinbVvkRyS1MIwUkXbfy/nODzMW5LGqBG6IeGdgi0znFfdJF9jJhd65nr5bMTdxjJFy8r0LJyefUsr1TemdrHcfmM5xMTyS2P5TN9QSO8oAAAIABJREFU2Y8nWlB0nl3zmcE3Sh5onrBglT8ahIg5Nsyx8o2z+zNwYXdXnzVkc3TgGWdZ0FwxL87orNJD6BKnF2/oeblOlgWr5TPdl6tH49EzzS0LizXLAk0mPu7VE/sHdVKXNrLflNWy4BSHp2w3ToUb2gWC+3J1y4JeDMGtILwYItk7yXBBc2tZoAtamkXKgpVCrqcsHMxMLH3KgkP1t+4h31c8R4iuwDWE6AoqDER0R1TPU2/0fOGJxuTkn6OMVrXZ749UOjUzyqfkkopIAflM2eIRVnzxqdyUXMoRfat+gGg94VNjKMqKlFx9AerN9sMtyyDmMiWXL+j0ZmNd7rMLpioS4dJbuPiizsSagcvG/dGBN681sePU9jSRLtfVvsx3V9rWM9sMV6sxuk1WLs9x3T+oE/b0ScWOlL7Y2mmwIgl6jJiuMlI+cVljxGjsSwkLvICDJ1pYVSnz5jOdhOkJCzRSd1LGStUwZ7d8trFWYPlMUxx58QYtn73UerRq9CtrXq6b5TO9wGAMe6ZpOqEv95HqyBelSlXxG0Qptz1biwuE6Rl+oKplegVVJ3OVnKIHqQ6cpyyk2Sz1OZFcfamPliZ5ysKdtxjj74jklkvKgkNtsl63/sW+24XoClxDiK6gwkBEN/umPDUmJ3JV1GwC1sSOw8aELNW2Rf5EilQ6NrFpQMldVM334llkoeTu7mq9eFaWnFw7JZdGuVzJfSTUpOT+c2Qbg5L7Tsch2JiQhXVxOQayRUtQpMqMjJimPHYUt1QaJZdILldyrQohptU2jnd10vV+14GK5PJCCBX67jZGzGYhylWMGL9k8KzRV2oYxr10weDJFpRRzCuVeXvUXM0LbZVq4Xb5zG29L41+eaIFRefpzWdcObdKWDDZQ+h592+sn7u43LH5zLJhjpVvGPzP/iU/Ki/QkwB4XBt5zukSVxF5uSNuNOYR63W0Vqojna/BQ1pGy4Jt5nMwy8KL1SwtC9yXyxf7nvUXyXDLglMxhD6F0NvPSpOyQM/tClYcY5eycGpmlDFlgcQIm0Y5p9dn/eKw9/NCIboC1xCiK6gwENGdUCsP9/jTFWhMviZ2HDa0ysbbHYa5bzwjj+LGWr7FBlK2+OIZKYkuNqPtNvx5vezFjxIDzVu05V/kiwKiKKt/TYvGDxOaGdq3dqT0NYzNKU90Cdv0pyUoqpntxzamuapo5cvVW8+I5HLVi1f7WhVC/MG/8c9JF8/KpfzWkzPqqxG6qVqZq4su27jcqGCGxR2qR7VJWPhhQjN8PaItijM64+NePQ1FHHrE1Sxt+UxfjLqS5TO7el8a/S5tPEVd8MgHTaqYqYBjQfVAlTL50Lc0traHlCLNwiqXmJdvWCmO5+6tqc758PB2+HJgF1Nc26rm47EiZhLujy4wJFnoxRv0bFuN1nXF3CoD2inFgtfR8kUpblmg8zVZFuyW+1w0y7myLFBFNWVtWxRu8CgxKobglgUqhgiWXhHMsqAXQ+jVyTmRvtcKynmm51bPITYs9RU0DggSK/yvEbw0xqVCbmklO7MAez+dIERX4BpCdAUVBiK6t9UZpxaeaMv81TajlHeOak7pzf7HyTE+f6I/UkmpWuQHDaLknjm/pPyVXL9dQSm5i6qpN6nvclsalNztyf2Vkktj88ebTFYkgGe20hJUb23Tn3sXrQohdCWXlnSIcOmFEFO18TnVoW5ola0Udfo50CiSFkvOzavhIwW8pEBLuODRVlxddDNG1xvnTLWzpII9Hbhg0Oa/fvZ8lL4mdpyhUvnOW8zLZ7rKWNrlMzf1vlxppEQLHttGC5dUl2pSxZgH2qr5zK1lwa4U4vynKYHyDc3/fO7emoYlPzpnSgLY0CrboJiT57yA5eXq3udgeblW8Xh2Z0yWBZ5HvKFVtppO8EUpnu2qLm3BLAtBGvzcWhYub462vEDwvGfuy32z/XC8ED/W4Ct3WwzhJmXBygpC9iZeDEFWG2rso6XJ8khZsFvqMwgQ/kvZ3l2jhOgKXEOIrqDCQET3znpjVbrC2tgcNSZ/r0uGIleUk8s3+5WS+7SNkutXEa0irMpdyfWT3MvLK6tWqH9NizZEWX2S3t2wAEUxS49rSm7BzYFIIK7kcn+oXSGEruTqipde7WtVCLEiZhKe0lrPaOOfky66bBgKIXhJgX8caRUj5pbkqoSFE3eoGDHDGJ03zvnrUfWEhQNDOqqz35KYidfbjlSjdPI13m2zfEYJC3S5KOvymVO9L18+43muemybyTeqq2LllZerXyg+Sgyo5mvDUfI0s+X4G+ZoyY+fMxWeFLG4NlLM+WWCFiv12mqnvFwiY3YVv3TG/CJRxLJd9Tra73JbGmLxLAlZKSwLtkq5G8sCVVT7veXc80xlMmRZeLLpRGVZoOY+aku0K4Yoi2VBr06myMHH/TXglPO8LWkAdvVMC55DzBRyvTTGTiF3ihj8YmemEF2BawjRFVQYiOguiM7GKta0tTlxqHqjp61+GtuqMfkDVQNK7ovVTKoW+UG5R5EruXpMzZUqubSUY6fkfpLe3VHJpTeqAracQxWoupLrptqXygl4pJW+7U+LULNYtS+pXpRXvLXTYOWN1sfnZ+fUsiyEuPxus4BPlKvpDuqXHfGyIwcqRozVzupjdLIrfNa7Gz5I7mfwQ/P4tjl+JUxfPrPKyi3r8hnPcqV63wX+tj+unnMf9L4BSQayoBYuH3dIWLAhDE6+3KClEJyIFQUaus7cVQfH85uo+uo9fVLxQXI/bO002HTOC7S4Nru8XP3ZtvLl6vF4vOJXTwPQR+uvtx1pziMeG2delCoKMV/agsRe2flyufKox7QpzzPZbiwuEHqUGC/csEqv0K0g5VEMYZeyQJGDb7TzTX2I5B4a2qHcUxacfOT7/t5HiK7ANYToCioMRHQfbDxKpStsSczE+10HYlfPNHzeN0WNyS1zcu0az/gbvoWSa0dybVu37Gp99cWzMii5DzXyvVHdyZRcntlKSq6udtkpuXx0zpVcIrlW1b5zmTpT1GxC0NYz+jkYbCO8vpP7GIOMI3WS6xgjpvsZ+SWDcootEhZ4jiudvR7fZlWpzM+de6GvdPlMr/fl6jn5oA3Lfiy27fLyyubzZos8ToRBJ7mWZ21RQ2vwjvpV8zOza+PkbQ3wXW5LQ8McH6vzc6bq6olaq1+vsCm23udglgW+VBms4pdfJLYlDVD5z7plQVlCSknInHy5QS0LG2v5zjaIZYH7cnnhhpNlgYohnCwL/PnllzRuBXGqTn45YTTe6TgEHyT3UznP5Hc2lJlQEksZc4hNr89sMbX4vVQhugLXEKIrqDAQ0X2i+VBsajsCWxIzsSOlLz7u1RNfDuyCw8Pb+bagaQFnfqRP0eJj8tdqGzJa9c3+YApBaZVcpwgxXcmlcSMpuRRl9ZQ/MJ8ruRSzRG9UpChaZbY6KblW5QR88YzC8+2qfakliprnKK/YcvHMqhCC13dqiyVufKJOMWKmhajnQlVr1Pn5kTg5o76qneV2BSII6+PHGM6ex7eNYX5RPeIqmMpol09Maph+saDFKKr35eq5wQftVxqVv/ERLbaNJyyQcm5hDylTLjEvhSiH5TOeBMCraPUlKTd5uXrxhlXFr10aALeEqDziGfV9ry0PhgfqaF+KVF7/YLFXwUju6TML7GPaXqnhi2mjUhnmef7nyDaWFwj9bGkaoadX8EsaL4aw8+XSJY1nPVsVQ+jVyXr7GaUsmC4PNpczpZDbpLC4uTjsf7u9EF2BawjRFVQYiOiuajkI73QcovJC9/ZLxuHh7XB0bByOFzR2zsl1oeRyhcBJyVUktwxKLpFcOyWXq4m6kkvjXL1i9kqUXCt/qFO1L1+EeqfjEOfWMz7edVMI4dIn6ipGjDJcKUZsWahhjM4b5z7s1hvvdclQS1E8x5Wr6HZFHNzX6JSw4Gb5jNf78nxiWuKhMyf13HLZT49tszrvK8jLPfP1KGu10aKhi1RzsobQZY4a5vQlPz0JgCuO3LLgFCVmV7wRrOKXpwF82K039vRJVa8vlP+sZ7u6aeoqS4JFWSwLO1L6mny5ZFm4UyvcKItlgb9uOFkWeMrCU8yywKuTvx7RVkW02aUslCaH2PY1mqYPfjvTgU3xQnQFriFEV1BhIKL7Qps+2JnaB7vTeqjlm+/zWvhGtv6K04sPhgcWcCgzlMbk/jf7clFyT9xRJiX3eH6TUiu5t9c1KrnkWaQFqLIquU4RYjQ616t9yb9IqvrutB7YP6iTsYVLXzyzKYSw2vh38onavolRtBUnXq/VNjfO+ckBZbjqdoWXWgcauZY08pEvfvYjIwLkq7RZuaWJEaMIveWaRWRz4lDDpjpXz01Ko0UCgOG8gyxHcV+u4VJnl0tMy2cPe00Nc6Sa70jpa1g+s4pr00shSpOXyxVzUhxTvZMMUwq7vFwqMKA0AEPkVX4T6zxiva66FMt9lko5XSIopm1brI/kkr/88ZBAUoj/smbleeYXCL7YZ1e44bYYQk+vICsIt9tQIgsvhuApC1SdTEt9ppQFv38/WMqC3YKwlWWBXxwObWgsRFfgGkJ0BRUGIrobE3vgk/Tu2DcgSTVtnShs5OtEX1A9sPC0WiNX9GavN565VHJNJFdXcvf2clZyF0aY7Ap2Si5FLAVTcnnMklslV3+zIiKQpvlDdcJFZECv9qWWqH+ObGPdevZ0SJkLIYKS3FLGiFFr1Pd5LdQYfVfPNNU4Rwrjk00n4hH/UtScej6CoJcVWC2f2Sm5V7J8RrXWVO/LSzj+ObINvsttGVDPteUz2wQA/3nr2+pO562nWRgSFpjaePnxEOU/1xu6SDXf1HaEwRqiN8zRM96bXeTsqmidFPP23nEm77NdXi6N1smyQHm5/xzZxnyRoAxuqzxiZglxm5cbtFmujJYF8uU6WRbooubWssDbEvnCKlkW9GIISlnQz9U2h5imPn5hojxSFgwLkzsScGhdlBBdgWsI0RVUGIjobk7pggNDOuKfI9uoGCVavrm0zO/vohICGinSwhONbcuo5J45v8Rayf00xajkbohQ+aGXHvYaan3pjV9PVyirkluadAUrJdcpQoyqffXMYl7tq0da2S6ecWWRFHWLjXTXPlHmiz67PyOw9b+lsakQgttFvs2JVQtRH/fqabIrUK3ywoZTDfWofPOf2ubcZuWWJUaMN83xi8WunmnKk85jxNTYd5VNAQcfp/svFWVqPrNKs9gQoS4UFx+oijOzaxvOWm+YC7Z8xuParnT5jJcXBMvLtar45RXKJkuIQx6xU16ufr76pfn8nu6BZ5lNJS4+GK785WR7Ks7orC5ruueZLhC0QGl1tjSN4CRXJ7p2y5NWVpC72WvG6hZ5eCF+rGX7maGaenGVMi31ObWfWT6z/kvw4VU3CdEVuIYQXUGFgYjue73a4UhWAr7LbYl/TYv2jb0WRvian+jFUlt4Mii53+cblAG7rV1LJZcTLL/yYlJyX6lhHpf7a331CLHyUHKJ5JZVyeVqF21LE8ldwHrp7ap9Dao6/Sx48xx5o2kMaVEIESxGjJcUcPWrNDFiJ29rYPBEf9yrJz5I7ofNiUMNGa7LLRRGWorSywqCZeVaLZ918uapiCs3y2eUOfp+14HKM0rpIqYzpyIUWj7jy342sW1OlwqrjXXLNAtKWGBE7MfJMaaz5jW0TzadaLCG8FIIfayuK45252ylmJNlYXT16Y55uU4Vv5TDfflx80WiLHnEtst9/tIN9XpCloWnQ8pkWaAosfK0LPClVUqvIMtCsGIIvf1M5Zvz6mQ+haCpj8tiCEORiVWjnH9h8vCTVYToClxDiK6gwkBEd+eglsoHqtRDvuz0Sg3fm5A/z9IyuoopWsGUXINCwD10pCLqSu5zoYER47waSsn9NidWKbm7eqaVm5IbrNbXavEsmJJLEWKP+InAmthxhvY5ripS/qXyL9osnl3Y1dl42bAZn5eGdJl80W/U871Zrq7sUxcp2ooVQnw5sItqPduSmGmyK9zvVxh5IQTPGuWb/8GycvlSFA/VdxMj9mzLXKyPH6PUMIrQUzFi+U18nnSaZBQ5xLbZjNNdNZ/x5TOnet/FVdTy2Q8TmuGb0a1RnNEZn6R3V2etN8zpS356XBsvPCnr8hmN1am8wHVeLr9IWJRCGCKvtNF6MJJr1yxXmorfw8PbYU+fVHzYrTfe6ThEFZsUsYnELK29jxYoU7UoPJ5eYUVy6QLBfbl6egW/pFGhycaELIOnXGVrFzT2RYnRubJntzQ5xFav1YrkWsSz0TN7+NEQIboC1xCiK6gwENH9eEQTnyeRfKBcPfRv6lIkjWHhSSNXpSa5RLC4kruzXUB5oQgrCyX325xYyzIIp5zcK1FyncbmOtmiPFGqmb27XmALnUbnNNblhIsnXZA/+tLD3sDPgprntBau0hRC2HruqPVMT7jw/wyIeDnFiNH5r4vLMfgZeRmHrjBabf67ycolv2gX7wT0CptSquUz3jTnuHzGxr5qnE4WEZf1vk4jdYMH2irNwm/POVHYSC36fda7myJidNZ6w9z02s6lEFZJAHaWBau4NrrETb35yvJyDf5Rf0uX4RLtkAbg6nz9y33lZVngvtzytCyQ5cYuvYIWVsmywIshbNvPylidbJWyQF5ylbKwr7epyOTw4huE6ApcQ4iuoMJARPfzCXXt2878y04XP0o01slegZJreOHkSu7OdoFFnFIquW93GHbVlFydaHE1hiu5fGzO80QpQqxIW4LS2+fUWJeriisDqrpp8czFQokdybVaPDPlt7KfwcUHw3Hu3po4NTPKoC5S69nWToPV+et2BfIzUgQTKYypNvFtTnYFPaO4R1i+IUaMLhfcC03tUTyfmDfNqRgxK8+oVZariwKOUjWfkQeaJSzwNAuKbPu8bwp2pvbBu50HqVxiOuuFDafinqhCyyU/u7i20iyfWSUB0FidL59Z5eV+PaKtmhg5pVgY/KPf57vOIy5Vs1yQit9tSQOwOXGo8pdTPfg9UYWWhRt8gdIqvUInufoFgvtyKWO7wCK9gi5pvNDEsf2MWvv8rxeGZ9emBlxPWbBKYaE8bTVxe7EaSlZVxsF5lYXoClxDiK6gwkBE98tpN5nbzkg99JNcUlqUmnUlSq7/hVMtPfkXRS79rYVRyV1pVHJPFDZSyzj7BiRhd1oPU63vf0rJJW/dGAsld2njwKb/hlbZSpUxlBNkx6vMYkq6UKqiX1U3LEJZFEKUWsllPkZFcre3CuS3Ml/0+QXVbWPE3u08yJRTvKTRFMyNMvoZeWsUKYx61miwrFw9o5hXKlstnz3ZdKIp1YLnE5d6+awU9b6ums+soq5YwgKlAOwbkISPe/XE+10HGhb9+FnzhrnSWkP0sTq3LPQIyzeVF5BizvNy6TLBizds83JtIq/sFirLYlmwbJa7QssC+XLLy7LAfbm8cINfIJ5tmWtZDEF14Kb2M7tiCAcriKNlQV8StmiUO3B3uBBdgWsI0RVUGIjoHpgdZtt2xtVD5UvUSgicSC690XPFhcLbldeLK7kvVjMs4pBH8cfJMUrZ2jcgSTVB0TIOLT5VhJJLWaL6ApReBmEVIfZm++HYljQAH3VPV0quwR86PzIw1iVVkSkzhkgrl3YFXVk0bU8z0qWWodaGq6xiUtN/nByDo2PjcGBIR6Uu8tYz3hjF7QrlVQihq+g8o5iPe8kvymPEeKqFnk+sYsQ0AmbwjLpcjCpT89mGCLMH+rYG6lJHI/Xtyf1VZBvlEi+OLsD8BlPVWfOGOf0yZxfXVtrlM168oSuOZAuxXJLS83I31Q2aYhFs+cwy21VblFK+5xXuK36Lmk3AMn8c3t31Apdleo555rO+QGlX8Wt1geCWGzrbOfWmYXG0bwpEvnKeXmFpBaHpD5Fclq2tXrv9i6p2VezBosR4ygLZbKj+u3h6pBBdgWsI0RVUGIjoHloQErTtTNVv+pUWqwUcu5BxU6WsfwnHpOS+FOkjGiv9Hjq/imil5G5LGmBQconkXm0ll0cBOSm5nGyRIsOVXD46N1UsUzEHqYrUEMWVGRceUVekiy/rkI+RRuj+1jldTadoK6vWM30hiryi3M/IM1ydls/42RP5IhWdPI0jtFE6+UUf10gCeaF5qgWpjGVZPgs2Ti9V8xlVKdskLOgpAOvicrDShojZqY3BSiGsvKPcd87H6nfeYlTMdcWxNHm5dikWV2xZ4AUnNs1yZbEs0HOsZz5fiWWBLmr62fLCDZ5eQTYnk2WBtZ+VtRgi6FKfdjmjqMEv8m8WoitwDSG6ggoDEd3Dj4aojFzedmYoIGCVvnaKgL4cYtgy5wtPe3sF3uzJn0ib/Y8H/KCk5B4dG6dqZe2U3Ee0xafyTFdwq+TqZRB8bE4RYh92662ilr7NicWPk2NwelZd44LOmjCUvBQZiBCzWTyzetNyWoQyXDbozYtv/Jei2vf9rgNdtZ6VtRDCLr4t2SLZgpai5jeYavKLvtHOrKCTr/HsnFrGGLG14dYxYg4LPPqlgqvneiSTXfMZqWI6CaOEhZ2pfbAlMdM0Ul/UsMCQS0zPut4wpy/5BfPl6stn5Dunc9aLN2j5jCuOZAsJlpcb7CJh9Vzb5RHbLvc9HWKs+M1vohYpd6f1sIxp40p5fq2AL5fqwfnrSLCKX7qsWRVu8AuEfraUzLIlMVP5ynl6hZUVhKY/bquTbS0LFvF3PGWBFHKy2Xw6toEQXYFrCNEVVBgU0X2ySvC2M61O1u7F0jRS5HYFf6alIrnvNgtktFKkElNyjxc0xtGxcYYyAopVImVLtytUhJJLizmk5I7XxuYPNZqilC49s5UruaR2nZtXw6fkcn8oFXP4PXY6GSh1tS9PudBJFycF/kIIKik4eVsDQ1axU4yYVeuZlVfUKcOVt57ptbP62esZxYstls+2dhpsirhSUUz+rGi75TM7Ncyp3peURrWtzi54huYzXsChKefcA02Xik1tR2BDq2yDPWRuVCFm1PFdsiiXuG+QC4WesODkHdWX/Pg5L28yGatb5GF9/Bi83nakaUmKFEcVV2jhfbaMx3Phy1WvL/RM21lC6PK8wr5ZrrSWhV4sKcTKskBEtzSWBbI7ubEs0AWCp1eohVXmy7VSyZ2Whm0b+5yW+phCvnuUVAAL3EOIrqDCoIju6ppGT66uHl5pugJ5cinuh0juW/V9b3xrwpQf9Pz8SJ+KWNBY1coWZ3TGx716YkdKX6VsrYvLMSw+EcmlaCWe1UpvToneXFtfKFdzieTyUgJSufibVFb1wAIUddHzsfkL8WPxRrvhBrJVnNFZtRidnFHf5w8lVWZVZctyAtMSoEuSa5XdatpI595oumw8UBXn5tXAydsamGLE+M9gbawv2moZy8qdWce8EKXHiOnxVm5ixOjs+VIU5bjysgKuor/TcQi2J/c3RVyp9qgHw6/e8pk2+lV5uXz5TPON/mtaNH6Y0ExVKdP0wk1e7ggtL9dtKYRdLrFdwxxPAqCxOs91pbg2ZcehiDxdMfcvuKrXGc0/amdZsPOQOllCOCGjxBDKfn6/60BlWXjWhWVBb5Yri2XBLkqM20G4ZWFHSl9D4YbpAsEtC2yvItglzdGycKzQVLZht9R3orARPhrSXIiuwDWE6AoqDMqj+2K0dUau/w2+PJRcGpMru8JrtX0vmqsqGzJaT82MUkru4eHtlJL7fteBSkUkJZcirOZGBRafykPJJbuCnZJLKpdbJXdnah+1nKMyW29rEIh044uA3D6ij3Ud3rDcFkIobzRdNkih8TdFXVxcBWfn1FKFENzHyBMuyCfKo63sWs/sYsR0hZGfv37BoNrZIdUCS1E8a5TKCmjcy8mX7hdVCjqLYjK0R5XH8hlXGpm/0UAWtPPmyjlPWNiYkKWqlB9qNAULGphTAPQLhZuGOf2srawh427yXSZmaaUQa2LH4fW2I7ElMVNdJoozOhvj2nTF0Sov13+Z1uPxrGwhJsuCUx4xs4ScX1Dd97ri0rJA9icry4JeU10elgVKCVnC7CDcsvBJendT4UbQ9IqyWhasrDZEclnKgr7Ut71fayG6AtcQoiuoMKjUhddamj25zJNYpnQFbeHJMCYnkstycpWSm98E3+W2VKoWVZ1yJXdV8/FYrkVYEcktDyWXSK6VkqtHWelKLnXRk5JLb1REcr/PaxHY9KdIN67kcvuIXsxhc+FwXQiht57xrFxWN0uk4JvRrXEwM1GVFGztNNgQI7Zci7bKr2XMyqWFqNLGiBE5oISFbt7JavNfX4qis+dlBTTu5ZXK3+W2NJy7IgnltHzGFy+5em5QGrXSAjsSxpVzPZt4YUOzPaQsebmNwvsbzpqr5ro1RG+Y03255H+mVj+Ka1OXOF1xJMuCVrwRLB7P9iLhtywYmvxWBRalzs6pheMFjfFdbkvlM6c8Yjpfu+U+3bJAvtzytCxQlBi3g9AC5e60Htg3IMnoeba6QPifX1pYdVMMYbeoamu1ebGa77llZSbkJ3+vVzshugLXEKIrqDAQ0S3+S0fHtjOrcRcnVYZxLSshoOgqQz4rbfWvYmPbeTVwckZ9HM9vovyJtNlPo0Xyg660UXJzIn3K1pBqhYaFkbIouXzDP5iSS8sjTzadqBagNrUdoTyLpOQezY5XcVaKBPCoJZ1s6eUENtmXjkquRSGESrnYVDegqLPx+amZUTg2sSmOZserjf8dKX0NJQW8kEP/GVi1nrmNEePLZ9R6RnYFqp3lCuMCvwrGN/8pvs2qUlmNex/XFHSXy2euLCJ6M9ee7mYf9EpjbBs/byrg4Mo5b5m721+lzNMsaNHS6kJhp+RanTWp5sO0qLx59Qtxf3QBVlgs+VGrHyVZmOLaeHmBVV6uC++zUxqApSWE8ogXRpii2j7vm2LIfqbz1ZvlaLmPcp+dlHKu5PL2M+4vt4tz9Wb/AAAgAElEQVRp477cp5qPx/r4MdjUdoS6QNAz/MOEZoEp0OIqgcINq/QKSsgpazEE5RDTawVNfVjKwulZdXG8oDG+Gd0aB4Z0xNvJXYToClxDiK6gwqAKI/7Ww/fi6B/VWqkAdiMvx3QFGtlyJZfG5C4bzzYnDsWrbUZhbWxAyV3sJ1hcySWSyxef7MblbhfP7JRcriYu0ZRc3r5FSq4hs5Vqlnk5B71Z8UVAi0uH29Yzy2pftqijsnLXhBl/Dg6FEG+2H4718WPwrD9GjMe4kU+Uoq10dTFYjJhVhiuRA32MTgrjPX6FcbmFiq4XcZwobGQM1dfO/dL2VqVuPrNKtTAs8XBFzEZp1EsLdBJGyjnl5fJsYrd5uXbLZ03Dhzjm5ZJ3lNdXP9V8PNbGBhrmPuzWG3v6pGL/oE44OjZOJYicnx9pHddmU15g5322PWPNsqBeX/QUC//FjXzm+wd1UhOitzsMM+URz6vvvNxnp5SXxrIwzCamzc6ycDAz0WBZUK8dNI0oZeGG4z6FVp2sIgdfigxE4C2ugnPzahj85PsGJOF/O6cK0RW4hhBdQYWBiO4XOzNLnZFLL5KGUaKuHlLzE0VXrQnzRf34t/pJyf1xcgy+Gd1akSvKaN2cOBQvtQ4oucv8qgttm3MlN6OqvZJL0UqlLYPgSq7uCyU1kaKsNrTKNim5+wd1UkouLUApRfFpRgLIt2hFtlz6Q+2qfVXQu0VeMXmj+c/BqhBC3/in6CUeI0Y/A956RotnbmLE9DFvN+9ktRDF7Qoz60wzKIyrmo83nT2Pb1NFHDwrV/OLGmwipcgntrpYqBIOK/Xc74MmpZHG6ZQA8GG33obzJuXczh5SXs1ndNa6LWeOzfLZ1k6DDaUQhixou+Wzne18y2cWSQDBnm3LFAu9QplZQvQ84qPZ8aquentyf9Ny30PMApVfy9wsR7nPVkq5U/uZrpRTTJtdlNhLrUcrzzMtrh7Njg9cIBZU96nkRaxwgzK2XRRu6DsVQc/VZqmPasCPZCUoP/mf26UJ0RW4hhBdQYWBiO7ej7MVqXJb6esmJ1cpAjSyLQpRFac8J1dvPNue3B9vdxiGV9uMwprYcWqzf3F0Ae5hSm4eU3Ipp7U8lFwiuVei5PL2LV4xa1IUWTmHKWqprEqu3sJFPwuL1jPy2tHPgUe5kW1E3/ifr/kYg2XlliVGzK5xbo6/kYsrjLQUpfuhTWUFVKlM9dZUisLb5kq5fGZVhmIo4dDU84sPhhuW/Y5kJagEACot0M+bKminWYzUr0ZebgHLJdatIW93GIbtyf0NpRDf5bbEyRn1cXZOrUCSBc+C9se1GS5xLkshglb8bou1v0j4p0RcLd/aaTA2tR2BdXG+xBCyLOh5xHaWBf5aUl6WBYoSI8vCh916K8+zqqjmlgX/M/z/2Xv3KKuqM91bz0jLnQCCAgHkIhehKCmqoICC4n4tqcICqrC4FJQgBChkkGAiKg3DgWJMaGgOKo0yMHJQYoYGIx9GWjgQabSRDzUqARRp75coeEfzdeb3x17P3M9815xrzV2U1WM41hyj/zgeO52x9q693vm8z/N7vtvbSV+QpeXmQoohUJ2sn+uWSzRlgRF4pyfnaz/5wzlFyaCbHO+TDLrJqbOjB93XFseSFSKVXKR02QcKJfcPLdPhm3Xple25G69QH8/rrt6pyNGBJ6xt0ba1PWu2uq/7PLX+ygU62Y/VIiu5rCLWhpKLF79Ucpd7KLl6lTsjW4dHvlxxWcqzaFFynWvzDJVcq6rIwwA+C9HCJYNnrkKI+7rPU3dR4r9alBRIn2icuui6ZAwTa15pV1jTMTUcbKHa2f0Dr1XPFRYZz95I/jtYudaE+oXU+7JnFCUcgOuzeh5899+e1lej83C5YwIAnrer+cwWPvMlLGCljq3FVEfDHIf8bKUQFxI+cynmUeQQa8UvVygHyCu2hJyYOMTgEcNnzsQQhPtwcZbNcvxd5vAZo8RszXKslAOHh1KZjYEvF78hsN28NmGoOlOWF/Y8b6QLBPGe9W+HYGzXtBjC9lwlh/j05Hz12oSh2r+/tdekZNBNjvdJBt3k1NnR1oUTP/Nm5GoVi3iLms366gjTB/qHlmkld0M99c3tzdSXKy5TZ6s7pQI4wZocw9WhIRPVU/3KrI1nt9DqFtxQqSLGKbnceBZXBiGVXLz8WclFKcG+AaUhlBWUGB2A2lAvNeRub6jVGKuSa0Et2dQuXp17VfsG/sVQ6xmtz6MKIdaLQghgxKIwbj7qog0jNqHRQjX1x6lk+g2tzMY51Co/1GuO2pVTYdTOnioZpN4qz02rYDx8uVi5YpWecfhM1PtGhc9YPX9vVm8j7Ld/4LUhAgAICy6eK1cpZ0JYYAoAc4n5WeNCgYCUqxTik4Vd0t7RdUQQ2dMu5cu18HKjLhOyeMOr4nd7Q7NCObhIvFWeq9vlJI94E1kWftbWZD/L5+trWXCF++Ka5eDLdVoWpOc5yrIQ4cv1LoZgKwj5cl0c4qf7T1X3XTU5GXST432SQTc5dXZ0GO31lbGMXNd6XLJZDR8ovF2/bpCq31zeVp2t7qR5oUApAV31VL8y3TV/T7cbjLatJa2XaK4lkv2s5OKFLwesmtT6YsjyVXKfHzohWslllFXgDYWSayDdMlAUXTWozmrf4KUFpJUMnmG1y5cNZrfe3nGRUciBxD8PBS6faFQhRN8GM0PqIhrn5rUK2xW4EOKZ/Mnq0JCJuhCCizgMFT2Oleu4XLiUXCefWA4KOxoZGDE8c8a2HRk2Xu0bUGoUcEgCALOJM20+cxEWXCv1XwbP2tYwh5DfmbI89d6s3rqG1vA/X0D47P/7x3bnd9vJy32kibbhuIax54dOUHvzp+jvNNRy+MyZGIJwn+35+vhyZbMcY9qkUi59uWwH0babDAo3+LeDL8hOlJjFU67Z2pIOElGd/HjOdPUvXcuTQTc53icZdJNTZ0fjxd5cE8vIxZCrlcNgjfjl6yWpFzyzWQMfqKEe3txafbq4s/pobg/19rS+6vVJA3Xg6dnBxeqpfmXq8Zzp6qFecwwlF4oWQjjgWo6jVTmzLWtDyQVCDJ7cGiu5tzdLh0cw5JKS62rfivItcgpd2keszGL2RweqOj4LNM+dLC7QlIu4QgiG6BcFGLEoJbemGDFu40Iy/R4L3goMV1YYv7i5dfrZP3BJPCv33M1Wb7pP+Ew2zbnCZ7J+ltfpe/LKQvW+TABgNnGmzWc2DzTbQySXeNUVKdX8nm43GBcKqTayNcTlHUXIT6/VLc85o+IN5uVSxS8jr7hCGfxnVPw+mj3TyiOWlpAoywKG3JpaFtZ0XBiyLAAlhkvEhVgW4ny5rmIIw1PuaD/7sKqnUZ3MHOK1Xa5LBt3keJ9k0E1OnR0Muqf/69exobOQB5SGKt2yhRc8PIm/aqSVrE8Xd9ZhJ6zIjwwbr0sIGF31my4/NZTcG1rFK7l4IfkquVjfSiV3Zov0ujyOrsBKLuplDTURSi7V+sYpuXHQfB62jBCU8IfqxDSVE0BV/3RxZ/XerN7W4BkCgLhsQFlc2maJXp9zIh2JfwwFPj5RWe0L9ctGt5B2BRRCHCwoMQoh3q/MUmerO6kvftEmXMSxp52pggm7Qlwoyjrk2lq5GCNm8YwyyxVkEca2cf0sr9Nl85m8VPjU++Y1qDSGsImNF6lpzcIrdYTPpDUElzlbyM8In9kGsQzCZxlVKIOXG1MK8VS/NKrNxSOGz9wW7ovy5doqfoHEkxW/jGl7uHelgcN7bcLQNCkElzVmPsN2k0HhRiRKLKY62dZ+9va0vup4UaE6NmpMiEO8suOMZNBNjvdJBt3k1NlxDbrOIghKlmsl90heSjnc0y415G5vaCT64QP9sKqn9sxhnXiwoEQHnh4M1uS/6fJTPVwta5N62UPR4hCOVHJtwTOXkouXPviWvC7nIUvSFWqk5BLKylByLevcqCFX8kRDQUCszrHWZWYx+aOhquOzAFcUQy5auLgQglFutkIIYMTYxxin5MZhxFytZ9YyDslwtdTORrFyLyR8xnxin/CZZLm66n2rW6exbTVpPnMRFuAbZXvIsjapoJ9s53qqX5k6MGiSOjZqjL1hjgOWcbirmOccyXX15OWCYoGLNFcoPygsC8wjnuqwLGSCEoNlwdYsx5aFewLLglTKnZaFLZlZFuJ8ucYFAoFVWQzB7Wc/b6fbz2BZeH7oBOO53tPtBnVz+1nJoJsc75MMusmps4NB9823/iWerGDDh8kiCLRsrW2cTvQv7KLTz1APDw2ZqPYNKFW7c8u10rKx63x1d+c0ugopaHgTbW1bNnyVS8nlAQseRYmwgpILfugFKbmy1vdIngl1p3KOTJVc7ZHGpSNYPRoBnR2NUszidWY5gVTVZfDsfmrhWkGXjcoW5vqc17uZts7xZwCfaFzr2WN9puvBSxZCfLKwS7oQgocDWcThYOVmjBGzUS2gMhJGDAMYmKMniwuMYNTjOWFsGxdwwKYzwcImzmTItXmgEfRb2maJui1ipQ7U1ZtT+ocb5hDyE+Ezw//sGT4LrdUttpA4Xi5fJA4XXqPtUDuyKvUzXtkhzcuN4hHHDblSLYf9hoOUsuIXvyXAtCFECaX8w6qemrdtkEKI+QzbTZS33GU987KCUKEJe8rB1n6usEjtH3it2pVTYTzXpW1nJ4NucrxPMugmp86OHHSjGLkGPglD1TNd0h3o21JrRNl29sGcXtoHCiXrmfzJGooPdBUCT7wm5+GKcUqS0RplV4CKKNe3UUouhiwbJzdjJTdo3tJDLim5rh76WCU3GHJlEFAHSdgfGjCLQbrAMABl5pn8yUYQapOlhcuFcuNEuouV61LTbRixBZelMWKsLnLr2XOFRSGvqDEcWBiutguGLbiTSfhMe6El1cIzfLY7t9wIn7nqfbn5zCd8ZlMabYSFKos9ZEtQXCC5xKcn56dKIfhCwTzoP7RMq+bS/xx8x+NY0JIEEMl1fcD0m4OXi2GMKRYXWvHLlgX5nQYxBBaoOMvCVodlAUp5TS0LPiixWHqFxbJwtrqT9uWiGAJ2m53Zs4xq6kVt5iSDbnK8TzLoJqfODg+6Vv8nDVRI5sInF1UEIdvO4EmED/TxnOn6BQRfIupkF12eGnIrmlcbgSfbmtxXyQVSCSriuEYLQ2UErOQi3V8rSq5UEyNqlqOUXGMICBQZw1+HS8cjTbQqA3/ouRuv0KSLExOHqJfHjnAGz9YKlBsHoRDUsa3P44ZcSbjAZwCfKLeerY1oPUMhBNq4rIUQNoZrBmt0J1QfGDGbF5raoyRG7I3SARojxgGeLZaw3w3Bdx/YNjRzZdp8xsr58AbzQ4QFBP34+/5w70q1K6dC7RtQqi8UIImEUFdsDbGFzz5ZWrPwGWcApC3E4X3GxujV8cM0wYUvEhu7zldrOi7Uzxi/Ly5LiHy+tlIIqZbLcB8/XzTLgft8YNAko8Hvgzm94it+ZbFJwNqWFdX8Py4yi5Ve4bCCwJfLKvljfaYbwclb2i9WVa2qkkE3Od4nGXSTU2eHPbrWIZcYuYys0uvxYKj6bkO9lB/R0XaGRD98oDuyUkPuPd1u0FB8Rlch8MRrcptdwUfJZVUrTsm9vWOKb4kh94KVXJuaGNFcFElXYG8dMVtDQUDYRwJVhos5gHNjVREXDgy5stq3JoUQ3HpmI1zwZ1BJPtEVhLaSrWfPD50QjRFjhNufOqjvDvRQ3xwbFPIzslWEh4PYVborfCZ8jTUJnzHLldfpo8UFL5PmM1nA4apSliv1p/qlaBbHRo0xuMTnbrxCExa+u1dcKDCI8ffcMYhFPmdRPmMLSTHXVfJyj40ao/F4KDrZlEHFr49lgb/TTAyBZQEXZ/l8uVlOhvtQn/y9WRZshRuWCwTTK3gTgfYzWBYe7p1ia6+7coG2gsy4NBl0k+N/kkE3OXV2GC9mkBVYNcRqPFgfco0s8GGyCEK2nR0sKFFP95+qHuuT8ssBiL82CDuh0hd1srKEIErJlcNVTZRclBGsD5Qt8C2jGs8yVnIDNbEmSq6tDMLwLZKSq9Wum1uHamZZyZWq4pqOC41hgD2isoVLrs99qpXjqn3ZJxrVeoZa5XM3XuFdCOHLyrWGouBPt/lFd7c1vdCEbnNhxFgNkxaRmcRyZWwb+6B9m8/k857WLGUPAWGBkXkPEs3i2cHF6sXRo9SJiUPs9b7gEpM1JCp85sK1WZ+zq3jDET6zlRfszZ+iWdyb6CKNy5vk5dosIT7hs74NZmq1vIiwhBzuk89XNsthKxSHabNV/EZVtUc+W9ncB3rFptRG7oubW6tPFnaxWkFYJZfV1FObJYNucvxPMugmp86OHnTfWB3GVQlGrq6RDdZcf38grWB9ueIydW5ph1Tb2YzsUNsZErrbs2brsBPUQ/xQwpcIpYUDTxcSPJPcUFlGYFNyMeTuG1CqjgwbXztKbjDkRim5zGsNKbk8BEhmK72stNoV2Ef40oG17p68MiMEeBcpXqj2ZeRSXCGETcmVdbNIpPNQADX9l+1SPkb2iT7R9zq1N39KqPWMMWJ6zbvVRLidP5IXHg5i1ujy2VvDZ8dHh/2iAnFlu1zYwmfrrlygw2dx9b6+4TM0n/HztinnuNhxlfKTudP0St1AXS3oGuYSM2GBn7WlYS7uO+56zjokBVzb1mheLhdvAI+HYWwFhVt9Kn6jLAu2umqo5dISEmVZAPeZw31OywJ+R6ge3GVZiCyTwXcY2wgu3HDQK9iX+3hOWiUHkQV2m0k/Tjy6yfE/yaCbnDo7ugL45E1hsgIqZKGq2PBhjiIIV9sZ1l3wJHKlL15A7EvMJNWP4cql5JY0Waz9oFARXUouOK02JTfUeOZSchEagcIVgxCLRVnZyiAks3VtYz1sQe06VTJIvTJuuE5LP9H3OvVo9kztXbxDqIrXtwwjrWRLlG/wDAMBY61kte+KdtX6M9jcY67hEz1ceE3IrqAHg9ubmWgrauOyBaKiGK787KUfGn8P2Go4Wbk3tzYwYoxu88GIcTBqmAPblknzmaxSZuUcLXP3U/PZvgGl6oXh49Qr44ZrmoXhG5X1voS6iguf+XzH5XP+9lCWtXiDFcfTk/O14sjeZ2yMVl+xKJKXC4qFDy9XWkIGN5gXUstBDLGF+0LPl5rlzt/ZJH1hrgGmzebLtaHw9Hd4f1dzGxGEJz9b1l5fjiW9Iqo6eWaLJWp844S6kBz/kwy6yamzg0H3+F9vtJMVmJH7h5apldoWE1l17sYr1IdVPdW70/uo1ycNVK+OH6bbzvbk2dvOMOQuujytHiJhDswPlNzeDaeF1uSs5PJwxS97KLljKNlfSUruL9uZSi4QVnvyyozgU20puRkPuaTkwrMY4hY/1sJgtgK19MmCrkbS/4Xh4zQ4n4s57hYhQJn25yBUpi1czG6VYaiqliZGjD8D9oly69mHVT3tGLHtDVNDrghExSXTvZ69pYhDs3KRUKfnjvAZ/g44/R8VPsMmw1Xv6xs+wzpdYttshAUbz/XlsSPUqZJBoZW64Rv9Q0tNEgGX2PdZZxTyA8mCcG2smCNYCcXx6f5TrcUbPrxcH8uCvEhIy8INrdLEEFgWHiLLwqEhE52WBc19rgXLArdYSjtI6Du8LW1ZkIUbbFmAL5frqW8SrOdRDSuTQTc53icZdJNTZ0cPun+Za3pyZduZpyf31fHDtCd3b/4Uw5MLHyjUQ6YrTG5ac7oCK7ky2T9GqIio4kSt7G+6pMoIHuw1Rz2aPVNjfzDkniwu0D7Fs9WdUuoW0EoYsnZdllozOnyhvnaFUHhEBKDQRf/tn3umh1z4FinpD9QS/KFHR4zVAZ3Hc9LFHMC5yRCgi3QhCwpcrFypqNsKIRZclobos4+RMWIuVq4TI/bnnqlLBifTYxiuseEzwreFKpU3p6H6X/yijX7uZ8rydPhMXi6iwmdc7ysvFpmEzwod2LblooADRIs9eWW6gvbExCHqTFmem5dr80B78nJtlgVnyA+K4yNNDP+zxLUhJIWQq00xt9lCfCp+XZYFZnBPCrZEsCxgOyEtIbg4w7Jgfb7SssAXZio3ibMshFoTIywLoIR8tbKlwXu2XSC29axS95BlYWkb85I2rEFSGJEc/5MMusmps6OtC0enhskKHHKSlb6BRw7IqpPFBeqVccP1CnF3brluO7uv+zxn2xkn+lnJddkVopTcvg1maiUXwxUruTcE/kT2g27uMVeriHjhc+MWgk9ayV3TNJ6TWxtKbqDEOJVcrM3vTUPzP1vWXn2yoKv2LeLSgWGLAzooJ/hlu/QggAvHRKGq24bcqIGLVS+k0UuoEAJhqFVXLDIS/1DTUVIA9JL2if6iTRgjhktGLWDEjHQ6PXsD34YiDq5UDoYvPHd4058dXKxZ0ZmGz3zrfaV6LsN+wLbheXMBimw+A89Ve6Bvbp1eqW+rl1qpu1BXIugX9axDTNf3ZttLIQKSxXcb6qUsUsFlgnFtXF7AJAB8t1G84bKF+PBybRQLm2WB1XIQQ9gS8ur4YepMWZ56b1Zvo6raeL61YFkwqDkuywIuEGRZ+GRBV6tlAb7ceyyWhcoW6e3PoPpJBXBy/E8y6Canzg4G3RPPXWNvO0PYpgae3O1Zs9V93eep9eTJ5SrZac0ujK5gCzzJxjP2g1YHftAoJfeF4eM0p5WVXB18sim5h6/+3pRcIwCF9i2qmJU1y5z0h5Ir/aF86UAxx0zCLUVV+2baegZvNJRFXu+iEGKr8IkyK/edipx0JeqqFunK2d/W14NXFEYsKhDFyf/I4A6H/oRfFJXKH1b1VGfK8kJtc/A1yuazuPCZ78UC4TPUz7oIAIxtw/MG0QJsaGuV8vrg+/67pmkPNKGudPjMk5cbsizIUgh8x3/fLGUN2ZiyhsD//MGcXuqt8lx1vKjQUMwRrAQib4Xw5U79sd0W4oMS48ubrFCuJMsCKn5RV/1Yn+nassCWkI/ndQ9bFh5pkm7xswUpM7As8GWNWdtRlgWIFjbPM18gbJYF/Gb0q1+RDLrJ8T7JoJucOjuauvB/h0STFSyVvlwje7jwGiPoZGPk2trOZKI/k+AZB57wEhreYL4aF3gTy2m4wsueldyHyA8KFRFK7nuzehsIK91UhJd+wLf8PpVcrXLJABQGgEBd159JoCgys/Xp/lO1knuPUHKrW5vWEVw44lR122chvdH4HEqbLrYWQtwRFELcf9X16tHsmTrxz4UcaD0L+US3XThGTNoVrAojq2B72lmLOJiVi+HrcOE1+nKBjUZNw2dyyI0Kn0E953pfoPO43hfPO7b57NcN0s1nVGNtG8Kign6+NbSa6fr7ZultBTV0fTS3h25YxCVuT16ZoZi71uoXwsvli4SsUJYBv020nXiqX5k6XHiN5hFrLB4XnLDHXPiefYKUUSixz9+brW1okZ5nukC8NmGoOjpirCazSF/uLe0XG/QKtoLk1C9LBt3keJ9k0E1OnR0Muq//KTfFyOW2s0C5On9nE2ulL1Llzw+doPYNKNXIqgdpPb76ihTaZ0nr1EsBq1q84JmugHWtL11BKrmoOGVGKyf70QB1T6C4/P7qGXp1izQ0VEQMuYaS+0Bayf1ubye9Lq9TJRfA/GDIZSUXQ4ActoBa4gpUvnRInBuS6JlU+9q80bw+l8riOkchBGPcnKzcWsKI8RrdwOrZFEZS0fH3wIQFrHuZbIG2OWw0VjguF7bwmW+9L3tGZf2sXKdvFtg2DkeFCjh+1SiySvnzd2YavtG4oJ+LS2wthdjeMNQwB2whCCJgQT+ek8oA4BKHYOXCy03vc00qfrmyWl7eXBW/bFlgn/mZsjwDi6ctC8FmAh5zXx6xT/vZF2fK9G+IcVkjz7PNsgBKCFsW7iDe+Q30u1HUeJGmsmTVn5wMusnxPsmg+wM+u3btUv3791eNGzdWrVu3VmVlZer06dOhf+/+++9XXbt2VfXq1VPZ2dnqj3/8Y+jfOXfunKqqqlLNmzdXjRs3VpMnT1bvvfdeRv99dDPaY/FkBVel7zP5k9WunAq1M3uWup+8iJKRO9MxVHHLlm3IlW1ntqYt8FlZyV1wWWqlyMPVlkDJ3ZVToZP97AfVq9sg9KSV3AfCSu7Xfxn6/Sm5EmXFq9xfNdINdFDXOQDF5Rywj6wLUEsYtqB2TRXgfCZdZKLk8jDAwTN8DlwIscFRCPHKuOFG4h9NUUZJgeC3fnV8tBVtFYcRi/IzWhVGevZxrNwnc6dpqL68XEiqBbYZrDL6EBbkAGYLRiFwiXrfHVmV6vGc6Rrbxs1n+lLBzWfb6tmrlC2EhQsJn7lKIbT/OSCIoNXv+aET1DP5k9UTfa9T27NmW8Nncq1+Ibxc0FvGCYqFrFAGGo8tIdgQvV+ZpT5Z2CXNI97oCPcdHx0b7rNZFmyYNn1Zk7Yb8jwzJUReIGwoMVvhBi5pPeoXJ4NucrxPMuj+QM/+/fvV//pf/0vNnj1b7d27Vz3yyCOqW7duqlu3buqbb77R/97DDz+sLr74YnXrrbeqffv2qfnz56sf/ehH6vDhw8Z/3tixY1W7du3Uzp071a5du1RWVpa6+uqr1d///nfv/04YdM/8HzdZAcrVe7N6Wyt9n8ydph7uXanLB+7ubK7Heaia2HiRXtXiB5IVFl+7AqOroOTymlxyctcRJxcNUAcGTVJHR4xVr4wbrk5Pzk/7Qcmu8O36+un17f+EkksoK1ZyMeTCG8pKLhLoKOcA0m0FBQHZPmIr5vDxR2fSeiYLIXDZeLr/1NDQFUqkS1aurXWuphgxqrrWeCubwrhFWEUEvo0rlV2rdN5oyMtFTcNnzHLl8Jmt3hdhP2DbXpswNBSOMgo4ftc0xcs90MMYwuCB5iEsE15uSG3EZY6sIewd/bCqpxHyO1hQonbnlhssaKzVl5BizhxoXCZ8fblcvMSsXaQAACAASURBVIGLNDz/uLxFVSgfLrxGvTh6lN5OaJ/56uZpy8KORqYv99URIcuCreI3zrLA5JxMLAvwPMOysNWCEosq3OhW/5pk0E2O90kG3R/omT9/vurUqZP6xz/+of/Zvn371EUXXaT+4z/+Q/+zbt26qYqKCuN/d+DAgWr8+PH6//0f//Ef6qKLLlJPP/20/md//etf1cUXX6x27tzp/d9JD7qbm1rJCmerO2mywhulAyIrfTdQ+YAvI9fWsuVScns1LNNKllRyS5um+axImSPwtD5YKW7Pmq2HK2a0ItmvldyVLdMq4gMUxKlrJZfVxE1Bc9HKlurzn7fTSgyU3BdHj9L1p6zkricld4lFybUhxDKp9sVnMcyCtOLgWSaFEOduvCKV+EchxzYauvZ3TYehThWlVugWH2Pc87e1AOqClENZ6eGAa2eDZ481Oli5bFeQoahbREJdUi18+cQy/Y8BzIYRs9X7Ppo9U5egvDh6lN5gfDCnl6k0OprPvjo+2umBzuhCIa0hjpAfwmfwP0tcmyt8hmAlimdk2Umm4TMUbwBROJMuEraKX1QovzRmpDoxcYj+TmM7EeIR8/dZXNpcvyeRODzy5RoEi8AOolsTA/HirfJc7XlmSoi8QGDIndnCLNzg343ODcYng25yvE8y6P5AT1VVlcrOzjb+2dGjR9VFF12kDh06pJRS6o033lAXXXSR2rVrl/HvbdiwQV1yySXq/PnzSimlbrvtNtWiRQtjaFZKqZycHFVZWen930kPuutTKVxO8UuywmsThsZW+sLHJZFVcqiCusJKbhSblT2J3LQ1gZRcDLlYk0c1nsE7hxAOFJevVrZM+ecw5EJ1kUou1osRiejaVHKBAfr85+1S1afBkMvtW1BysTZfb1Fy2bcIRYY/j0yrfX1bz+7ubKLcbIUQPHR9vbp5OvEPjBvCf7xCzxAjFkqmf7ggjHADVg9hzHWidpYuGIxvAyv3vu7z1F3BVgMXPqzSpV+UEVdRhIVMw2euel9ep79TkaM+WdBVfbasfep5ywKOQDn/+i9DU/YQhwfaFj6zDmJ41lAbcaF4rIW1FOJv87uF/M8y5MfPeaFlrc7tilG8XKmY24o3pjdP/aZhQxFX8csXCWM7ISwLxvfZg0fs3Sx3AZYFRomxL9dmWcAFomOD0cmgmxzvkwy6P9Bz8OBB9aMf/Uht2rRJnTt3Tr3xxhtq7NixKi8vT/33f/+3Ukqp3bt3pygIp04Z/7tPP/10qtjh+HGllFJTp05VBQUFof8bFRUVKj8/3/u/EwbdN2//Jx2ycZEVjgwbr9O4j2bP1En+dRZ8mC8jN07JZTYrPIlQD5F+ntki9QJa0jpdQsDoqh1ZlTqAgzU5hiswWj9f3jad7N9EflCh5LpeSHWt5J6enK+OFxUaSi6CORLpJoOANUWI2fzR8rNwBc/gEQVy6dnBxVpZNNitcn3O1cpB8EwruQhDeZQUONFWWPNyUQHCmFuCQghiuKJ2Vq7R2a7AbXPguJb/OFxWwF7oOCXXByOGAUxixFz1vhJzJZXGTAkAEtnmbOeS1hDYcoTaKMNnz+RPNgaxqPAZF2/4hs94yM1vMEd7n3GRnkeIQq+KX1mhvL5+uBTCwSO2+XJ9GvwMpZwJFqipDgQMEFpgu4G3XHqepS/X9mzxu9Ghwchk0E2O90kG3R/weeKJJ1Tjxo3VRRddpC666CKVk5OjPvzwQ/3/v337dnXRRRepjz/+2PjfO3LkiKH8jho1ShUVFYX+8xctWqS6du3q/L//2WefqXfeeUf/D/5z37ilgZWscLK4QJMVDhaUqD15qc5zMFllpe+Cy1Ivdvi44hi5UsmVQ64t0c8cy4rm6fDNTcGQi8DT5h5zdQAHwxXA+Lpta0FXU8lFsl/6QbmMQKxvMx5yM1RyEcqBmgiUFSu5HICCus6fyexLzWGLma0y6Z+pkgtVsaJ5tdE8x5QLn0IIzW4FW5TrZrlaGYn0GmDEbI1zoeAfyjgwHBDDFbWzL40ZGbKKYPiSbXPTm6fXvVil2/yicV7omobPuN6X62fPVncyiRYIn0mlMYYAEBv0s3CJvzvQwyiFQMPc58vbGracV8cP03zu3bnlIe/oL9vZn7Ncq8vLBKu5UjGXWwp4n1F0sjoo3thE9Bafit/v7jW3E748Yi/Lgk0pz8CyAEyby7LAv+euwo12DUckg25yvE8y6P5Az7PPPquaNWumli1bpvbt26ceffRRlZ2drfr166ctCd/3oPvP//zPesjm/zlZfWksWWF3brn2xnG7VhQ+LFNGrq3SF2xWFEHAkwglC4gfvIC4hADoqucKi9SLo0epk8UF6kxZXmqlyMOVVHKDIgK9uoWKeCFKLvihtaDkonkLKhd80rKc4/tScjmgA1WdVUUZPIN/8WBBib5sIAilVS9UKwvLSCh45lk3G6UuhuwKqLpmr6gIRHHoT1YqY42+2sIoRigqE4yYHL7iMGLLg+8/LCII++3Nn6K/+wa2DRgxUcBhVCmzDz0D5Rzf988+v826UjfaubbWC9X7vjcjW3/Pjwwbrw4WlKgnc6epR7Nnqi1BFgDfcdtzjiveiAufSV4uVyhzKQTzcg8NmRhJsfj7ZhNNiN+VKB5x1JBrcJ+Zuc1Kuaj4/fzn7dRHc3uod6f3USeLC/RlDRW/D/aaY3iel7WpDl0gRjZcEHq2+P7+pOHQZNBNjvdJBt0f6MnNzVVTp041/tnbb7+tLr74YvXAAw8opb5/64JL0T0+r41BVjheVKiOjhhrkBV+f/UMta1nlQbg395xUajSF6ohv9ijGLm+dgUk+tkHOq9VWsld2SH1AtoY+BIReHomf7I6NGSiXpOfKctLKbkLu6S8iWjbupeU3N1t9ZD7zUuDTVXrQpRcArlnquRyKcGLo0eFUFZbM1RyediqSfsc+0NZVYeq+JsuPzV4xbtzy9XBghKjXtlAuXEhBLNbMXRF1M3alNxM1MVv/9wzNRzQJQMIt8+WtdfDgWS4onZWsnKXtakOMYo5fGYLYNowYnKVnmn47Kl+ZfpiYbOIfL26ebrOmpvPYsJnUYQFV/PZl6eKUsg2cIkfa6HbubgUQjbMQTXn+mpbDa0shZBr9Qvh5c5rZS/eYF6ud8UvLAt8kRA8Yi9frs2ywA1+Yiuh/eU1tCzAl2uzLOD7mwy6ycnkJIPuD/Q0aNBArVmzJvTPW7VqpVasWKGUSofRnnjiCePf+dd//Vd1ySWXqG+//VYplQqjXXrppaH/rL59+9YojPbSdV0MssILw8epA4MmGWSFrVddrzZ0na/uIg/iostTAyfjw+BD9GHk+hRB8Kp26o/TtZtQDxF2uq/7PLWtZ5XamT1L+xJRQnCqZJA6U5anPqzqmQo8/aKNXpPzcKWV3KP5ZrJf+EFdQ66Tb0nBJ28lN1jjSl8oq4lMvMC60abkutq3fJitMunPpAv2R6OcgFVFBM+Acnt1/LC0bSRo4dJBKFK9QuxWWp9/9vlt+jPwVnJdrWewK2DwiiiEeGnMSCP0hyIOrlS2kS0kRsyHsCAV9JpgxJ4dXGyE/SS27dt19cMFHMH3/ovTpel1eszzjgr6hWgWezulnjXV+zLq6u1pffVlDqUnUjVfdcUitaxNdPjMppjHhc+wNZLhsyWt7d5nJy93QVeTl8sUC27ys1hC4oZcr2Y5DLmOil8o5aj43Zk9S1/WsJFgbzn7cvk7LFXyZNBNTiYnGXR/oKdHjx6qtLTU+GdnzpxRF198sfq3f/s3/c+6deumZsyYYfx7BQUFVrzYv//7v+t/duLEiRrjxV64tqfGJR0ZNl49O7hYPdWvzCAroAgClb5gVjKTFaphTRi5UHIRuuFVrWw7gw8U6uGmbjeoB3vN0elnoKteGjNSq1l6TR4MV+d/1cislCUlF0NuJkqubCpyBc+8lNxAgXEpuY/nTNd+RYmygk+a1XWJWcoEZyWT/swsvj4gXbCqjs8CqqKr2tdZCCGDOmC3etTNRiq5ttYzPH9gxLDmJa/oG6UD1Kvjh6nnh05QBwZN0mt09jMyK1eGooZZQpiZsnJd4bMVlgFMhs9OT843Lhao9zXCZ7J+Fpc7j3pfr5W6RF1tSZNEuJ3rjdIB6qUxI9XzQydYG+YwiIHqImto40oheNDl3xsXro2/29hSwPsMBrSVl+uo+DWa/Og77aJYWHm59Hyjwn34LmMrgXITH8sCxAvpebZZFvBck0E3OZmcZND9gZ7169eriy66SC1ZskQXRmRlZak2bdqoTz/9VP97O3bsUBdffLFauXKl2r9/v1qwYIH60Y9+ZLB2lUoVRrRv31797ne/U0888YTq3bt3jQsjDo7OC9X5SrICQmfLg5SzxIeNtvg/fRm5UUUQsmULiX74QBlbtSevTO0feK06Mmy8rpN9qzxXfTS3h/p0cWcTXYXAE6/Jjw1KK1oxyX6b6oIXkk3J1XzLGii5R0eMNZRchAE3WAatSouSKwNQUXYFHnLZt8jDFpjF0h96X/d56sFec0LBMwxc707vk0ZaBcPAd/cGQy5auFj1sqzPfat9bT5RV+uZLuNY1SK2EAIXDIlvm9fKfPbsh5YXvkxYuZlgxIC4wsXCsIjAj47vvvCM2go44p43vvNRzWchmoWj3leirnbnloca5nDBrmqZprrIbYWteKMm4TPwuFcF3n98t8HizpSX++3hq83wmaUUwuXLNS5tUc+XuM/yEhFV8bs24J/jN2R68yVGRTUHV/Ed5ud6ReOxSRgtORmdZND9gZ5//OMf6t5771XZ2dmqUaNGqnXr1uraa69Vf/3rX0P/7v3336+uvPJKdckll6jevXtHVgA3a9ZMNW7cWJWWlqp33303o/9OGHT3Di1QzxUWqQODJqndueXqsT6pdeHmYDUbVQTBlb42JmsUI1cGnXioQuiG287AZuVE/0OBeogh97nCIvXy2BHqxMQh6u1pfdX7lVlm4Alr8t/WT/MsAzC+fhFhyA1CT66GokglN2jcMpStC/TkQsnFkMvs4u9TycXngaQ/mMUI6MAfCusIPgsMuVztawShZCEE2UZkUAdDl3dJgQUj9s2xQam2KNF6ZmDEFnYx1rwI/oE4wsPBKuFnhMIYFYryCZ9JL/QkS/hM2kQiw2ey3telnmcQ9gt95x1VypJm8e36+hp1dba6k0FYODpirEYYPtZnurNhDtaQCREhv6jwWfdGpaGQH5jcsONAMQeqEN9tbClqzMv1pFg4LVDCsmA8X9EsJ7/LbFlgpXxVjGWBveW2Z5sMusnJ9CSDbnLq7GDQ3ZU/MrbOV4bOOE3OYHabaiiVXLxsJD4sqggCLVtgs4JhuSunQj3Vz1QP3ygdoF/yZ6s7pV5AaH5idBUpuaE1eYaMVkPJDV74hpL7fE76pRRBV/BRcuELxct/IQ1aJaRyZaLkSvsIXzpcwxZIF/CHuoJnul4ZKDcMXNvqhS4bMghlK+RwKbnWocuj9Uwi3HjwkoUQGwOfOl8w2K7Az16SLWrKyvXFiB0aMjGEETMsIpvIjx4MYJl6RjPiuXL4bGu9EM3igzm9nPW+/KyjGuZQ72sLSNl8uT7hs2oKn20IwmePZs/U322Dl8vkEAsv97sDPcIXiZgtUY3CfXi+jmY5vkQ83DtaKYcNTfpyuzcqtQ65HRtPSAojkpPRSQbd5NTZwaC7s+949UTf69Sj2TPV1quuV/d0u0HdRWQFWxGErdLXViEbxci1Iat4qIJPblmbamvbGbBVBwZNMtTDdypy1AdzeqVLCKDkbqE1OV70wXBlrBSDF9GFKLkA5BsIqz3tYhvPfJRcDLnLqZQArEsXysqngU4i3TgIWP7j1JDLqCWJc4M/9Miw8erlsSP0kGtU+yKJLoNQ7F9EtW+wPo9jt4aGAldJAXyiovXMhRGTgShOpi//SQojxmv0KIUxLvTHwxdQenjutRE+k8Eo/cwt4TNcLLyfd1Tz2R9a6uazb3/dwKBZsG/00JCJmkv8kONZc8OcyxpiIyxI1ZwtUgj5TWuW+r1ZdLkd14bSmeeHTghdJjLi5X68OPK3xWZZsFlCvj18dcqyIKuqg+f7t/ndDMsCf5cztSyw7cY25HZudI3q1GBsMugmx/skg25y6uxg0L2/17XWOl8mK/iEznwZub0bTnPiw1xFEBiq7qe2MwRCjo4Yq9eIutL3xivUV7e2Sr3kgVHCC4hLCCxKLoarmiq5unHrL0PTL6Q/tg4jrCI4uVFKLl8+opTcqJS/CyHGiqK8dCwi3+LaTgvVpm43qK1XXa+VXFfwDJ9FqJRjd1tDyZX+RZ/gWWS1r/wM2CdKdoWz1Z1CdhGJtrqH2NE3/cQMRDHDVSqMPmSLKFaujePKGDHmE9swYgbiii0iz+eEnrkvRixEAPBsPvt6VQt1bmkHg2bhqvddRyt1PGtbw1xU+IyftU/4bMFl4fDZ9qzZRvEGLtPMJNbhs80UPovg5caFWkM8YiaGOMJ98JijPtnWLIdykyhMW1HjRcb3GL5cPFsecq9oPFZflK9sUJQMusnxPsmgm5w6Oxh0/3f3KWpLj7lqY9f56o7AewgV5fqWNSuCYCX3ykbFoZBTXoNKQ8mVQScMVSs7pOwKtrYzvOBfHT9MD7msHmqM0gMCXYWVbbAml8MVhlwfJVeHRFxK7v6uaQ8dB58uQMnFkBul5NoCUFFKLj4Tm5LLzNZbgoplTvqjmAM4N/aHWqt9dzRKV/s6glBxLVzOQghb4h+fAUoK4BMNVrw+GDFu41raJv13Udp0sTEcMDfa1w8dxcq9wcJx3dJjrno0e6Z6MneavlyE+MQyfCZURtczj7OI2J73Zx/MVV++XhLdfEZVyqBZvDZhqKZZSNQVgn5L26Qu2vJZuxrmfCwLkgWNkN/SNkvUbYE9ii9xrJijdMZ5mfDg5bq85nGWBaslBAUngWUBVdVnyvIMywKClNKy4FLKo1BitnBfj/rFyaCbHO+TDLrJqbODQffuK6eFGLloHZrePPMiiLi2MwxULk8uD1XsyWU267ODi7UP9PVJA/UaMYqugBdQKPAkhitbCjo2JPLhAr1a5DKCkF0BL/2bW+t1+VvluepUySCtbgHkzggx9oUuFIHAIlFK4NNCJwNQUl1npBuCgLeQfYQvHfCHIoWOEKAuJ/Cp9s2w9Sy2EMI2FICVS5WoUNOB13NhxGQgaiYxXMcQw9XVyBX17G1FHExYAKMYbXPbs2brVfpzhUWhy4U1fAaqRcAnrkn4DN/70PO28VyxvdhQT51f29ioUsal7tioMepgQYnVA42gXxQvlwexqFII3ljgO25rmJPPeUdW6hIHO4725QabitBlgos3AsU8rnjD27LA2wn2mQfboS9XXKbOLe2gPqzqaajlhwuv0ZshWBZs4b7JTautIUq2g9gsC9hKXFV/UjLoJsf7JINucursYNBd1XGGur3jInVb+8VqWZvUqhB+XAxSF1IEgeIBLoIYFqhXXCN7PQWdeD1+/1XXq53Zs0JtZ7pKdka2xlZ9ueIydf7OJqZ6GKwS9Uue0VViTR6FEHMquUj2u5TcbamgCCu5nyzsooNPvC73UXJhV6hNJRefyRiLosiXjvVXLtD2kSdzpxlJf1SgfjS3RzoEyKq6rdr3VFFa8fIIQlmVRV7vct2sxLhxSUEwFIDf+vLYEU6MGDNGZSCKk+mMt/LBiMnaWRsr95dEGeHwGVjRL48dYVAtDMQVhc++29vJvFhw+CzDel987zW27cQ4r+azj+b20B5oBC1thIWVHexBPxsFwBaQilLNpf+5yhHyQ7siSC7ajhMo5p8ta58uO9lC320PXm5U0UymPGK2LGAzcapkkHp57Ai9GcrEssBKuWvIZcsClPKr609NBt3keJ9k0E1OnR0Mur9oP0snm22MXFkfm2kRBLed8Wrc5smFF3GtGKrgyT00ZKL25GJViwICg66wxU5X8FFyXUNuVOOZ5lqykssqYjDkAmGF4JNNyeUmOkaISbtCbSq5wxqEa5ahKK4IGujW07D1WJ+UfeTZwcW6Yhn+UAPnJtrnnNW+nq1nkZcNHroOXx3CuLlYuRIjhrprG0aM17zjGi20sqPjMGJRyX8bYYHJFo/1SW008HeAVbo1fCa90MQn9g2fsUXEGrh0KY1cwPHzdurjed2tVcpo+GNfbm3wctmXy6r5aPqOY1thC/lhc3S48Bp1bNQYfYmDYv7Fza1TivnGNKpQXiYMFrewhdTIsoCK3983S1kWNtQzLCHvV2bpghO2LDCP+PaOi0KWhYliK5GJZQG/7X3rlyeDbnK8TzLoJqfODgbd6jZz1JLW6cIBvMgnkB83qj42rghCMnInBGtDVPpCvbpJIKu2Blgf1G2i7ezExCG67UxXya5qYbJZkeiHD5Q5loSuivLMyZeQU8k9VZQK4UDJ5b75QMn96tZWXkqurPWNQojVppI7TnwmN7RKl3PAPnL/VdeH1uZQcnnY0hWouHBQOYGr2jcuCBVVCCHZrd/+uWe6blYk/jF0oaSAMWJ78srUzuxZkRixcgpkDhPEEbYruCw8CJ/xs7fh27hSeVPAiwZlhC8Xb0/rqz6Y0ytMtRDhsxBCL4PwGdRzGfYDtk2Hz6TSGJQWgADAzWfsgQZh4faO6WzAvFbhoJ+tncsWPrNd5hjZNrlp+juObcVdjpDfi6NHaTvOh1U9NQf6mzVN08FKGy8X3ucMeLmRFcqy4ndDPc0jhs//zSn9dYX7wYISbb/ZEvye3N5xkVrRLp29iGuWcw25+C7zVmJg/enJoJsc75MMusmps4NBd+5lVbGM3JoWQQDlwxWyWBtCNeRK37upfABBJwxVx0aN0fik9yuzUqGbn7czq2Qf8Kcr+PJCYxvP0FB0oEdqyJVKLlTEAOCO9S2UXDCMfZVcfDa1peRyAEoqubw23541Wyu5CAJq+whVLBs4N6nkOqp9ZQ1qLCvXVgjhGLqYlcsXDQy5TLhA6j8OI2bjFEdhxHjNy2t0W/JfFnGA4/pk7jSDUXx6cr56vzJLfbKga8oLDV/6lnjEVY3CZ451uk1p1OGohV0MNvSRYeONIYyrlG9pv1gtab3kgnm58kLBWySo5uDl8rbC1jBnPOeFXfQlTttxGJEH7z++27SlcIXPvJ4xUyy2N9QUC/jMP57XXb1VnquxeBLV5rIsyHAfhIxMLAtQygvqz0gG3eR4n2TQTU6dHQy6FS2qdNuQrI7NBB8meawusgKwSawaotKXa2QZWfXKuOHqZHGBVrDOVneyt51BxeJ0OauHjjrZuCHXCOAwuJ0Zrbvbpl58UFwCP+hny9prFRFp6GOjxmiEFSu564NEtE8ZRG0quWigk5+JLOcA0u3YqDHG2hxDgBECDIYtIwQFf2hEQCfKrpBxIQTVzSJ4hsQ/hq6n+0/VGLFNAUYMocyFDoyYbAGMY+XCwoNyFASiwHCtbBHGt2GNzm1zR0eMVa+OH6ZDUcblgr3Q2GZIPrHYZESh27zqfcGHJqLFN2uaqs+Xt7UWcKC0YGf2rFCVMhMWplL4zMUldoXPbFxiGT5DyA+/O+w73zeg1CyFwHPmUgh8v0X47MvXS7y+287fl5gKZbaEgEf87vQ+mkeM3xRGtSHct6xN6vvser5SKZdDLtRy2Sw3vMF8NbJhZTLoJsf7JINucursYNCd3KxKTW6aGSM3qgjCp+1MVvr+pktqRfsgVfruG1CqkVVYj6NuU6f5EbrBkPvH1rpbPpTo9+BY1rjxDIrW1nSyn/2gGHKhujDCCh46BJ9uEbW+ruBZpkqufPmzmoght9pSs8zlHCEld0Z22j6yunmaJ0pJf6PaN0LJ9Wo9iyuE2N02VAgRx8pljBizipcEK16mWzBaL4pT7ApEgeE6suECHcSEfQcXDIlv25VTofYNKFXPFRZpjqtO/gcbjW9/3cD0QguqhfSL1iR8Zq33hQ8aGwwRPgNRBAUcrJyjmIaHMBAWasLLlYQFvmRPDHy5Ni4xrCHYVkQ1zOnnvK2eSbKw4Np8ebl6yHVV/JJlIXSRmJGtLQtHho3XPv+d2bO0ZWH1FSnLArOfa2pZcIX7xjaanQy6yfE+yaCbnDo7GHTHN56tJjRaqFPNUq2KCp3ZiiAQOosjK/jgw5B2Nhi54LKuq59ej/NQFahY+sXj8IHGveS1Zy5YJ+JFjwpOo20rULSkkvvR3B7aDwol92BBiV4tspJ7e8dF6hbC/sSVQdSmkrvw8nTKHyoXPhOp5MI+Ylw6JM6NEGIcgqqpkmsMAxkWQsAy8uaU/urExCGhxP/2rNk6DLU6KCmATxShzJq0ntkGL1z8ZCAKDFewctmuAEYxt82hUtkoK/htfdMLzVQL4RfNeMiNYrlub6i96JJocWLiEENpZOX87gBn6KpS9m0+i+MSFxEqz9UwZwuf2XBt+jnXQvjM9Yx9Kn7xnT49OV9vJ5hHzGo5Lm1c8Wt7vqyUR/lysxtWhJrlipvOSQbd5HifZNBNTp0dDLojG1aq0cHtPpMhl8kKcpiKajuDmrKm48JQpe9T/cp0pe/LY0doPmiIkSvS/HrIDdqI9AueEv2+Si6GXL2yFWtya+PZVsIprWypzi3toJXcN6f010Pu4cJrIpXcn7VNK7k2frGvlcSm5Np8oZUCZbUqUNfvEQGogwUlobX5Jwu7pDBLctjiimXJLKb2OV8lV7ZwWQshYBvZSkEdYre+Pa2vHrq4kIM/gzsIIzbP4hNlT3QmSq5snONylOuDNbq8YHDoTzKKjfAZJ/+DsgIZPrOxcmsSPnPV+8IHjfAZEy2AbYPSyMo5CAA2woKsoPXx5bq4xJOapJ81vud3CNVcWkMiSyF+1zTU6ue6xEURFozijQwrfm0Xiaf7T9U84vu6z9MVv8vaVGv289Qfhy9tcZYF/j5LywK+y1OaVSWDbnK8TzLoJqfODgbdgvozdOgspo5VVQAAIABJREFUjqzgEzoDLmlSDFlhQ9f5amscPixY0YYYufAiQsGyDVWkYrlA7TZGrl6RB75ELiEAukoHnrAm57atpR20dw7JfvaDsopoU3JRRiD90rLW10fJlQl/KLnlweci1cTfdPmp2kxKLqOsOAioA1BBGcR39wqcG4cAaQiwBc9iVUUKnoUCgLhsBC1cHIRCIQdbRg4XXqPrZlGtzJ8BwlDwrNtKCnxaz+IKISqa2wNRm3vMNewKhwuvsTKKQ5XKlPzXCrrwQsfxiUOIK4tFRH/3qd7X5oPG9/65wiK1f+C1aldOhWZDrw+U8xXt3ISFTJrPZPhMXihsz3pD0DC3M3uWbpg7Mmy8rhLX2woQRBB0DXBttRE+49+YTHi5f5vfLbYUAj5zVstt4b6o5yt9uTYkHspNprdIBt3k+J9k0E1OnR0Muv3qV+ght3fDaaGVbCb4sGEUssG6kMkKKzss1mSFLcFLnSt9oaicnpyv3qnI0atDg5G72c3I/fJUUXqFSCpWJkqufgHZAk+s5P6uqa7gZCX3b/O7aUULIRwMubtyKtT2rNmGihil5Nr80j4qe5SSy75QaVdgJRfqOiu5707vo8s5NNINnkUMW2C2omLZwizO+LMImue+OF1qFkLIUg4qhMBlQ7JbMXTBwyjVdFlSwD7GuNazKIwYB6JmX5q28ODihyCmXKOHyBYcitpaz0z+O8JnPpcL7/CZqPcF5go+aA5cHhg0ST3VLxU+29azynjeUjkvoiEsk+YzG80CpRDTmqWeNTZJqwOyC1/muGGOrSGhUojtDXUpxLeHr9abI/39jgn5+RRvWHm5lopfrlDmiwQsOOwzj7IsyOcb5ctl+w0sC3i+c1olg25y/E8y6Canzg4G3avrT/UaomoaOrORFZAm351brp7Jn6yZrCeLC6LxYYKRK9vOalIEEVJyAyA+BivDl/inDmnMDweegjX5h1U99XDFlbK7c8vV76+eYfhBWUXMRMmNUtmjlFxcPmxK7oau8/XLH4MWK7mMstLVp64yCAuz1TfpH1lOIAcuOQysaWoNQjHGjYNn6wThQn4GY8iz7tt6ZkO4xRVC4ILB+LZnBxdru4Lhh2ZG8QP22lkDIxYMub584shWLlhEOOwnPKPwQaOAA997bj6Tz9tGAJDf97h6X0mzYMLCwstTm6SVHRaHnjWaFmXD3Oc/b6e+WtnS3FYEuLYLDZ/pIVdUVocqlAUv92x1J4Ni8cLwcbrJj0shgGpjn3lp03TQ+EJ4uYXC+oTn+9PWiUc3Of4nGXSTU2cHg27P+qWxdb42tZBDH+yHQ8AJw5SNrABe5b4BpbrS93hRoVHpe25ph1QI5M4m6dXh75pGM3IRBhF+RK/gDa1rtcpyfLSJrkLgaYs5XJ278QoNxj89OV+9Mm64LiIAvooHLPhBWUV0KbmZ8ItdSq5M+EslF0Puo9kzDSX3lXHD1enJ+VrJ1QEol5IbeBZtzFYfJde61g1URS6EMKp9N6VLORjlhvU5LhuS3XqHhVXMiX9bSUFc65lt8GL1q9ISiNoUlKP8/uoZanduuTpYUKJeGD5Or9ENFV0qjIF1R6P0xPAln3ss1cInfBb40b9Z0zQUPgPmStbP3mPBtuF5u5RzealgwoJUGiXNgiuscaG7w/Ksnx1crF4YPk6dmDjE3jC3SXzHg1KIKP+zt2VBeJ99ebmgWID/LCuU8Z2O4hGzZYEvETzounjEbFnA872xTUJdSI7/SQbd5NTZwaDbrf413iUQvqGzhZY6XyYrIPxxZNh4jQ97qzw3zWR14cPAyD2SZzJy4QF14JOilFyj7YzUw6+OjzaVXA7fELoKgSe86F8ZN1w9V1ikhyuulF1H/kT4QaWKaCsjyDT4FKfk3iKU3B1ZlYaSy4OWVteXt02pXBJlFVMGEZVAdyq5FDz78vWScDkBDVzaNhIMA29P62u0cMlqZYT/EDyzsYplta+vXUFeMrBCL/9xesPBaCtu48IFQ9oV8OyhomuG6x9aaoXRWKNbkv9eXmgHRsyqMq5trLcYeOasnsOmIws4ZJWyVM45aOnbfAbblKveF8i2DUERzc7sWaFnjfrqs9Wdwg1zQchPf8ctBJGoIdcVPgvh8UAOsVQoS14uSiFAseAmP1S5A9Vm4xH7hM9sPGJbuG9Fu2p1c/tZyaCbHO+TDLrJqbODQbdzg/GxoTO5Epf4MKTIq4K17LI28WSF5wqL1MtjR+g0+fuVWRqAb6iGW4OXjYORK4equCGXK31DbWdSPeSEOZTcIPD05YrL1NnqTurjed11xSkqOPcPvFY91a9MPZo9Uz0UMEOxVsSAxW10kywM47pUcjHkgnjBSi5QVkAsGQEokT6Xa3MfJdcZ0IF15PhoPeQa1b5IogfDgKsQQq7P13ZaqFbR0GUrhMgEI2YLZfpixGxtXEDqIYjJeKsQwxUKI8Jn8KbHYMRiw2dBGYotfCaDURw+g2cUmCsO+3H4DOt0V72vb/gMBADXEPZLYkJz0G//wGvVc4VF6WctLxRomHNZQxz+Z6maW3m5bFkIvtuG39xWvCF4ufsGlFopFmjyuxBeLv+m9Gk4Q28mYFko/7FpCVl1xSK1smPSjJYc/5MMusmps4NBt2OD0bElEDJ0hhUWfviiQmcussIr44br8MfH87prNQVMVis+7Gh+JCO3Rm1nXCUr1cM97VJDBRLmqJNd3ladre6k0VUniwvUy2NH6JQ51uRbr7peg/E5ac7JfqlqxSm5tia6TJRcTvhDyX0mf7Je40YquZuCz0SoXFFlED7DlqF2sT8UwbP9XdOr821mKYcMAPJlAy1cCEKx6gXLCII6Nan2lUMX81uxQufGuVuCDQeIIw/3rlS7c8uNNi5pV9Ae9U0WFV2WogjbjrdNhDBiGqFna5oLEFesMuKZ8wAmPaO/DJrPUMCBKmUXYSGT5jP2QNsICxLZJrnEVmtIVMOcp+88Lnxm/W5nyMtlisUvqRSCn/Ewi888jpd7VaMpIV9uEf2eoMUP4b61Xa5LBt3keJ9k0E1OnR0Muh0ajHT6cVmpAiYJvfEIJKAIYkmQIkeFqY2s8OzgYnVs1Bj16vhh6lTJIPVORY76sKqn5lWGKn0D1VAzcgOygouR6/tyDym5jK2S6uGORmYJQYCu+mhuD435AS8UwxV4lqiUXRW8iKDkVrZIJ/vZDyqV3Dil3aWyu+gKePFv7jHXSPhjyHUquYyyAmIJ5RyvjrAquXFDrtU+IgI6hj/UUe2LJPrpyfnqeFGhDkKhEAK2EVw2oHohjW4rhKhp61kcRmz1FeYlgzFiaON6pyJHfTS3hzq3tEPaK7rRfPY+DFcXK5cV9JqEz6TKyOGzPXllofDZyg7u8BkICy7l3Kf5THqgeQi7K7hsMxP62cHF6sXRo/Qm6cOqnvpZWy8UtlIIUs2jwmeRinmAKtS2qB2p/9suXi7a/JiXC8sCUyyiKpQztSzw97m06WI109Lit6HrfPUv3cqSQTc53icZdJNTZweDbruGI2JLIDh0VtR4kZoUpJq5VeuW9ouN6liEzkBWeH7oBIOs8N6M7PQwdWur1At9Q73UyhAeRIEPi2PkXlDbmaySZfXwV43U16ubq89/3k59urizrpMFsB3oKigt94s1OYareYLRKpP9Pkquq6QjipMbp+QiDHh6cn56jYvkOfukqZTA4BZDyY1JnzuVXAxbNoQYBc94dc71ym9O6a9RbkBa8TDALVwyeAZlEUEdnyGXg2dsV8DfBw8FbBdZd+UCdf9V14fUxZfGjNTlKCG7AhcV7Glnr1SOYbhGPndPjJhumhOIK8aI2Qawn7W1B6NQwMHPm5+1b/MZLtyzL01nA5iwsK1nlXqsTyoXgG3SyeICdaYsL8wlttX7HhtkNszFqOa+4TOtmAdWHGkLkd5nGy93rbhI8JaIw2d9Gs7w5uW6SiFwaVvSOu3xR4vf5p6lyaCbHO+TDLrJqbPDg65tiGKlEC9x3OzLKdW8rE21Vgvv7px6uWwNKkxBVjhceI16acxIg6zw8bzu6tzSDjr8oYsggjQ5PIiG/5PDNhkwckMvd2LkGqlnxlbBB7rOrJP9sKqnTj8j8ATMz87sWVrJvbtzWsnFkCuVXFcbnY+KmImSy55cm5KLIZfrZSOVXKjr8jO5UCVXJv2hdsE64lHti2HgwaAQ4u7OZgsXVrulTRdHFkJEYcRk4p/tPJlixHDJMFrPuI2LvaL7u5rPPmKNHvXco8Jn+nIBPrEIn8Guc7yoMBQ+e4ieOavnCJ/Zwn62Ag5JWIgq4Jj64xQBgD3QdwQbJbaH7B94rXph+Lh0u18UlzjiQuGjmrNlwXqJsyjm322oZ71MsPdZ8nLx+yIpFjWp+JUXCfymTKKLs+QRwxKyrXdxMugmx/skg25y6uywdeHKRsWhIYoRSS582JLWYXzYtp5V6uHelerJ3GmakXts1BjNY31vVu9QEcS36+uniyD+hzy5hnrooCtglYgSAsnJ3dazSqfMb++4SHsTMeTyyz6OkxvHaeXPh4NP05sv0etyHrKAdkPCHy9+2BVgIwldPraa7OIQyiqDAJTVt3juZnvFMuPcNov2uYhqX9nCFdd65lsIYUv8S59oCf19+GDEuI3LaJwLfOrawoMGQKkweqzRI9vmXKt0Dp8JL/Q7FTnq9UkD9SWPw2co4bCFzyY3rTbqrF3NXFLNtWHbsL2YRLzcJa1T4Sjpy8XmAvYQ8HI/ntfdzstlmgVKaDwDlk4WdByubWNKzQWujS8Tx0aNUQcLSqzFGysc3md+xr4Vv7As8EWCw5TzyGd+FxFDfn/1DLWjzzXJoJsc75MMusmps8NhtDg/rgsfdkugniDV/FCvOXpNiBT5K+OGq5PFBSGygg7ZbKiXHqb+2Np4oesiCGayirWha3XIL5zQetzVdvb7Zhpb9e2vGxg+0A/m9NJ1slCygK56uHel2tazyliT3/STVDiEX/TMDK2pkgu7glRyZd1yJkou7Ap6ZR6n5DpQVjVScoMhgIctgye6JR0C9K32RRJdBqFmtkgruVifZ1IIgXAmW0aGN5ivL4GcSM8UI6bVxdubpTBiD9DgFXCjv/7LUNMr6vHsnZcLCp8ZrGhQLYRflJvmXh47Qtt1fMJnpU2jw2cuwoIrfMbNZ6ycswcahIWn+0/VhTSwh2Br8fWqFur8r1IefBeXmEtofEshZMjP+L2B/x8c6I0mLxdlJyeLC/SWAn5zW/EGLm/sNa9JxS+XzLBlAWFKaVnApW1PXpn6Q/9RyaCbHO+TDLrJqbODQbdTg7HWIZfT+z74MAQ+bIzcM2V5qXanoFkrVATxSBOzCMLmyfVoO7O9cJxDFfMrgfYJCggulK7Aa/KZ5E2sqZJrsyswwzhOyX0oRsnFkGtVcoPaU/3yl2qiKOfISMmVvkVcOriYI8C5fXFz61A5AQ9cu3IqDFXRt/Usk0IIG1uUWbkujNj9V10fixEzPNFMHAmKCs4fzTcxYiJ8lhFhwRY+e6ZL6rInw2c/b6c+WdjFQFyBamFrPlvZIRWM4mdus4hE1fvaMFeyfhbrdCjnCMHCl8vIvGOjxqjjRYWal6u/6/BAk//cYEJnSLPwCvnhOQeXOPhyP1/eNoVrC8pOuLb68ZzpakdWpbV4Q1ZWFwYbikwrfl0Vyte3TNdVS7X8ydxpat+AUvX/DBqWDLrJ8T7JoJucOjsYdK9sUBSq8x3ZcIH2G7rwYXd1/qnGJEl82AvDx6nXJgxVr08aqN6d3ie1Eg+8h9+saeouguBhiosgPJL8zkpfvNjj2s5ElSzYrO9XZmkfKNRD1MmihIDRVQg8XS9S/bwmZyU3Cl8VhRAb46nkPuSh5GLICim5xBC1KrkxL3+nkkvr3JCSS0OATPr7VvveQYUQ80QQiocBWyGEKwBoY7eyXQGe9Z+1NTFisPLgAujCiH29urlVXbQOXjFtXHGs3FD4jC8X8EKvamENnwFxhUvehYTPbL5clw/aFj6TBRy41DFhAc1nb07pH24+20hMaNeFwsOWY/2O+zxnKoX4ZGEXjWsDxQUbI3y3YYmS3mdc3nCRqEnFL1Ms+Dtd3dqsUL6v+zyDGPJcYZHaN3xgMugmx/skg25y6uxg0L2q/qQQWWGC8BsibRuHDztYUBJi5H40t4f6dHHnNCMXfrioIghmsnoouWxXCNEVPl4c6pQ36AqPNEnZFTbU01WyWsWa1btGdAWsbHm4kozWCwmeSSX3Bg8lV5ZBsJKLIVcruTsaeSm5UaGcTJRcPQQg6U+XDhRz8Ooc7XPwh8pqX6iK3HoGRV1SLnwuG8yStiX+5XqXCRdYoUuM2LvT+xgYsfO/apQavIS6WBOMmG34Moo4mOPKZQUIn93ZRPvSQRhB+OxgQYmutf4+w2e4WNiwbfjO8zp9Q6CcP5o9Uz2ZO017oF8eOyJ9qVjYRX3+83ZpjCHzcoPGRYOXK5jQUSU01pDfW9c5Q37ac/6LNoYdh3FtUMzx3V7TcaHhN3cVb2Q3rNA2HFnxa3vGeQ0qdaASNjV8p3/WtjpUocwUi2Ojxqg/j8lNBt3keJ9k0E1OnR0Mutn1pxgqoc2P64MP49AZUs1/m99NfbasfepFvrZxmqzgEzqjF7pv6EwrKhS24fIBVJp+t7eTZlf+fbO97QwtW8eLCrVXDj7Q7Vmz1f1UJ3tLexNdhaYt9sxByZVrcp8yCE724xIiywhWRCi5stbXiRCrZSXXOgAgCMj2ESi5vDYPQoBnqzup9yuzNLPYVu2Lz4KVXMkrlop61OfgKoRgy4htfb6iXbX2rN8fbDoQygRGDBdA45IhW89IXYwq44hT0V1rdG6b05QRcbmQw5f0iwJxBU70TRZ0m2zl8q335QFMekbB7Ub97B1BxbiLsOBsPttMlqkImoUPYaEm4TM8Z9BDmGSB8Nmj2TND4TPm5UrvM28oMq34lRcJWHAQppQVygcLSjQx5D+Ls5JBNzneJxl0k1NnB4Nu3/rlsXW+aBly4cMODZmof/SAD/tkQVc7IzcI2Px9T7uUYuVRBMFDrnelr6yRPZpvBp0wVAXKypcrLlOfLWufGnJnZKszZXnqtQlD1YujR4US/Vt6zDXUw5+1TZcQMLoKK1u5JvdtPIOixSEcDLms5DL54h5a33rV+rJd4XtQcm3tW7qcg5mtYtj66tZW+tKBIReoJV6dc7UvPotFl4dVRVvrWaaFENh4oFpZsnJxEUTlNTBih4ZMVC+NGalLCjRGLPBEh1i5+7vqIdeW+ne1ccln7yriMEJRFD7DRoPDZ+yFfiZ/svaLAnFVm+Ez9kHbPKPlPw5j2/C8wYaGcv7KuOHqVMkg9VZ5rr1K+bf143m5MYSFqPpqw3fuaJjDc0aFOC5xe/OnGLg2eP/x3a50eJ95UxRX8YtMBi5vsOFIigX4z/d1n2dUKMNn/kbpAPX/TumeDLrJ8T7JoJucOjsYdAfVn6FVQpcf947gRr85CCE81me6MUS9PHaEen3SQPVWea76sKpnakXI1bEbA7WKMFXO0JllmIojK8Tiw7h8AC92ZuRa2s7gR3x2cLFmsyLRzz5Q1MlCycIqEYgf5rNGKbmsZrmU3EnCD8pK7rorF6gtgZK7K6dCK7lHR4z1L4OoRSVXN9CxyiWVXBmAWm/i3CRCjJnFD/dO+6OhqnO1b7mDV+yr5NoKIRjjxsEzrM85qLMrp0LtzZ+iE/8YurikwKf17PN3ZjrLOOJUdDCjDX/6sUEmo5gqlZH858sFe6ElK9cHI8atXFEYMWkRkQMYe0aZ5bqZvvN43ijgYGSeYQ+Jaz7zpFm46qv17w5vKyylEH+b300/Z9hxOHzGvFxWzGX4DN5nGaiMCp/h90Xycl0Ui4d6zVFP9L1O7c2foiuUcXH+y6wrkkE3Od4nGXSTU2cHg+6wBrPUJBFqkn7c9TREPZ6T8mcdLCiJxId9vapFSj2BWvi7pgZZ4fzR/Fotggj5PxECwYoWNbIRjNx3p/fRyiH4lXvzp+gXz2aR6F/WJq0eVjRPrWuLRPiGV7a+jWfsTWScEhd1MMMYdhKp5MIv7VXra1NyOZBTE0+uVHJl+xbW5gHS7fydTdRXt7Yyhq03SgfocM7BghIj6X8P+aNZycVnIVXFTCkX8rJRRBuP6y3sVhmGOlhQ4saIrWlqYsTAKQ58ora/C9+aa9sa3Qj97e9qWHe4Uvlv87tp2w4r6JKVC79obYbPmPwi1XPpGb1LYNv4eYOw8MGcXuqThV3UFze3Vt/c3iylnD9wSUZVynHINqtq7rKGOEohXpswVB0dMVZXiOMSBzuOVMzx3R4W4X3OhJeL4g1c3pj/fA/xt/GMUaGMi8Rrc9smg25yvE8y6Canzg4G3fGNZ6uK5ukKTa6MXXflArWp2w0aj7Qrp0LXxh4bNUa9On6YDjZ9PK+7OlvdySiB0Jik3zdLr2SP5F1w6MxFVghV+qKByIIP06nywCN3pizPaDvDUPVYn3TLFrNZ4QOFejipSToUAiVLNm3FKblQs2xKLj6jRRY/KKuIIF+wkvt+ZZb2KEbW+n4fnlyUErxeEq5ZDoKAsgzChRBD+xx8i0y6YFUd/lAZ0PGlXNiUXBmEYssIEHsPCl/00RFj1YmJQ9SZsjy96TCGLm49k41zzI4WK/SaFHFo0oiFUfz16ua6UhnJ/1fGDVdHho0PKejshWZ029QaYMRc9b4u9RwDmC0Y9ezg4tDzrknzWVyVcmT4TDbM4Xcn+I5/s6apJoi8N6u3rq7OJHwGxZy/2y7vM6u5uEhHeZ+jSiF255aHnjG2E6eWtEgG3eR4n2TQTU6dHQy6xU3nqKqW6RcJVuF3d06hZBDysOHD3igdEMaHIdGMVqfHWpiFAwH03iiCoMYhnyKIEFkBQ66r0vexFinrxOZoRi63nSFZvj1rtrqv+zyjZWtpmyVGop/Vw8EN5oWU3KjgmVyTs5KL9qdywin9rG21oeTCDwoVEUouLiGxSi59NrWq5CIMyIglNNDZlNxgbY72LVZyoXRxCOoukfSvEmoXfxY1UXI5ic6XjaqW5vr8ruDvRBZC4DN4c0r/lGc9SPx/vbp56u9ji8CIBdSRKE5xHEbMWKMHQczQBQNkC8EolpXKGL5kWcFaQbWojfCZbYuBunGo54zO47Df7txytW9AqeFD5+cd2Xz2l6EZeaCdXGJumAtKaLi+WlpDuBTi2KgxOgPwWJ/panvWbF0hvrJD+hIHXi4Uc/5ux5VC+PJyF11uXt629JirdmbP0oHKI8PGh5/x8rbq9ZsaJ4NucrxPMugmp84OBt1pzav0i1v6cXdkVarH+kxXu3PL1YFBk9RzhUXq5bEj1ImJQ9Rb5bnqvVm9NQfUKIHYEiSa/9BSs0C1enK69IJDZy6yAvBhOgDyx9ap/x7b0jWbUYxceBGfzJ2mK33vCV46t3dM+eS40ncq+UChsMCTiMHKxWd1KblY2RY1XmQMV4suTw25+Izwsmcl93DhNVpxeXNKf10rG6vkcvCptpRcXDy4ZtmGdIOSS2UQNoQYlFxun7ORLqSqnimv2IW0qmieSrtzEArhP/jWoSwy4cKo9rUl/p/pYg5dwicapy6GAlE+RRxb62nrDiuMCGAeGzVGHRg0SSf/mZV7m/BCXwhGTDbNMcObnznU89s7LlIbAqwhCjhkMEoSFi6k+Sy2fOPz28LP2tIwxyE/fMfhO392cLHhf76v+zx1V+efGnacSio7sYXP4prPMuHlcikEqCEc8LNRLE6vqpcMusnxPsmgm5w6Oxh0K1tWqZsC6LrLj7tvQKl6fugE9eLoUepkcYEeoiLxYbsuSyWaD2WlfIdykIoogqgRWSGm0vf82sYpH2IEI5e5rA/1mqPu6XaDWnflArX6ilToZklrs2VLJvpZPcxUyc1vMEcPV1zWAbUdRQTAKXGyH945VhFRRqCVXPZLO2p9L5iTS5cPPeSyTxrqOn0mX61sqYM5vDZH+9aevDK1M3uWejAYAu62tM9J0kVNlFyJtLIVQuCywS1cqEKFsijZrUbdrC3xH4QyQyUF5FXPGCMW/E1oVi7sO7hgkB8ajGIUcdgqlV2s3CiOqy185uITc72v7Zm7wme2et8QYcHCJtbWqRo2n+mgn+tZ727rbJhzlUKw/1mG/HCJw4ValkJEhc9svNwo7zMXbzA15OiIsepkcYEOVPIzPrP2n5JBNzneJxl0k1NnB4PuojZzQugw6cc9Mmy8enX8MHWqZJB6pyJHfTCnlzpb3Sl1ow8anSJLII6PTvvg4Du8kNCZg6yg0+Qe+DAbIxdtZ7YiCFul72iR6LcVQfgouVzWUSQQb9WtzeEKnmluoztceI3BMGYl9+tVLdJKLvzSQsnV6f5aVHK/OjEureTi5Q91fUM9dX5tY/XlisvUuaUdnGUQQIjh84CSe9NPUkrX9ULJlUl/nyHXtTrHZQNr3YWXpxuieBhgu8KRYeO1pcdKuLjXnfh3tZ7FFUIYQ66tjQv4NhRxBM8efmhJtoDCiDW6i5UrLTs1wYjJprkJZNWpomduU8+fyZ+sDg2ZqAs4UE7z2bL26qtbW6V+k3Cx82w+i/odCv0GWcJnxrPeEg6fyZDf/oHXamThhYTP5JDr4uXK8JmNl4sKZZB18NtyvKjQQOMxxeLMv9ZPBt3keJ9k0E1OnR0Muj/7SaX6TZdU8AB1pcDI4CaPprO3p/VNh2qwisUQBQ4o8GEBmzLkxw0GqUyKIGxDbois4Kj01f7PpR1SL5sZ2erNKf2tjFy0nWE9vuqKReqXgbJyQ6u0kouWLWaz+qqHPORy4AkvIAxXeNEvF2o7hlyoLZzs135Q1MpK8oVDydVDbm0qucGQayi5hLICYkkGoF4YPi60Nt8k7CN86ZDMYvijoar7fBZcCAEld2LjRboZEIUQsI1sFC1cBwZN0oUQVmWRfdEYugLQwJgEAAAgAElEQVQ7T01bz3wCUd/+uWfq4vf7Zimv6Ebz2Us/tK2II4qV6+K4Zho+A+IKjGhGt8nwGQejuN73gzm90vW+tzdLKbkPXJJGGhKbOK75zCvoF1y0Q1xi8az5QoGGORBduBTiHov/WYb8onBtNssCb4x8ebn3i+INbIlwedM2nNXNNcXizOamyaCbHO+TDLrJqbODQXdlxxnaquDy44LB+vG87uqzZe016P7bdfXToRpZAhF4Dm1+3AsOnbnICkH4wwcfBkbunjw7I9e3CAKpZx8fKNRDKCxcJztRoKuqBeJtkyjqADP02Kgx2k7ywZxeph90XX1DRXQquaBe1KKSqy0ku9ua9bIOJTeuDAKKIpRcJNAnCCWXSReZ1itLlJu8bCCJjoaoPXlluoULBQWo9g0pi3J9fmyQuenwSPyzuhhVCHH+aH4aqcdWkcCuwIUQrKLvG1CqFcbNPebqAKaNlcutfzXFiMmmOVwssEpH+h+tXKye43L3Vnmuer8yS52t7qS++EWbdJU1Lt5EtNA4w2DIjbtUeLX7BZkAg0tssYacKctTJ4sLQg1zW2lbwQSR2ZeauLbaDJ9F8XLhfcbl7bUJQ+0VykDjPdJEnXnw8mTQTY73SQbd5NTZwaB7Z+cKndp3+XG11zBYWQEfpkMePEQF+DCd3g+UKunHjcKHMQ9Ur2U54OQiK4ALur5+qNL3nYocdXpyvnp1/DB1dMRYzch9rI/JyMWQi6FqXqvUkAtlZUwAaZd+RF8lF+qhDV3Ftcs8XG3oOl9tpUrZvflT1LODi9WLo0elGa1BCtpQclErG5AvwA3VCCthV6hNJVdfPixKLqOsgFg6OmKsoeQ+FCi5WJtDUUT9qWS2RiX9o+wKrmpfVhVvCwohbEGo5wqLjBYuIJe+XHFZuhCC2K34GzGGLkfi3xsjJtVFGYhCG9fKlmmPerDZAN6K/dBcOxvHyh3YoMp5uYgKnwGhB7sON81x+EwOYHjmznrfdSLsJ8JnsvksqoDDSbOQ9hAO+gVcYjxrWKVwoQAqD2xuWEOwrcDFuqJ5OOQnn7OPLxd2HIlrw5YCF2nG49m8z6HijU1pgePNR5LCiOT4n2TQTU6dHQy6/7v7FCs67PVJAzU6jJvOdLsQmJR/bK39hlElELVW58tkBbQOwft5b9A8tLq5+vzn7dSnizur9yuzDHzYc4VF6sCgSQYj977u8zQjF33yCyOKIORQlUmiH+oh1y7jJc8lBEBXceAJa3K8hE4WF6gzZXlpML5DyQX5ItRER41bta7k7rrMquRCTXxvRra11tdVBmFTFCWzlZnFvsEzfBZcr8wot1sC2wguG1jrcvDsjdIB4RautY3D1b5STbeszzO+ZFgKIRhtZWvjglcU7X+sosO6c0enVClKHCtXhqIywYjhkseV1i6MGNL/MuynbTqMbaMq628PZTmJFi7rlLPeN7BMfXG61CSJoN3PwSWW9b5P9L0uFPJb0c70ndtwbTUNn4GXG1W8gaITXKJfGjPS8D6jze/8nU3SF+ggUHl6V89k0E2O90kG3eTU2cGgu7XXJO31lH7cj+b2sDedPXCJ2XRmG6KE5zNuyI0qgjAqTCPICmh4+uIXbdSnizurD6t6qrfKc9XrkwYaTNan+pXFMnLxwpFDFcIgUUouQmhyyGX1EAqLRFch8MRr8od7V2qWJdT240WFum2LGa06GLhN+EFZyX1vthVhVatKLoZci5LLaiKUXHCLQbtgJRdDrgwCui4dtqS/9EdjyIWSy2oXmudQnAJV8eHelWpXToXGLXEQCgUFzkKI/V3tvugYdusFYcSC7YZs45JeUX72kuEax8qtjfAZgpe45EWFz3gAc6qMFPazhs88CAtcYx2qUmZ7CDefbbwkxCU+PTlfHS8q1M1+fKHghrllbar1dxwWKbCg40J+0pfLlgXYceD9d+Ha4Dc/WFCijgwbr44XFabtUIHQ4SreeP1Pucmgmxzvkwy6yamzg0F3Z9/xIasC+3Fjm85k0cAHc60lEFHKiU/oTNdqMllhe0ODrPDVypapYSrAh50py1PHiwo1PmzfgFKND4NqeBfhqpiRCz5oTYogeKjiKln2gUI9RO3y0jZpjiXKOrb1rNLhG3jmeE3Ow9XXq5un7SQ7GoWUXMMPKpRcVyDwgpRchAFjlFxbrS84orIM4kKUXKl0YdgaLT6LG1qZzXPrhaqIy4YteGZ4RDEMIAgVVPvqi6AHu1Wu0I0LoK1xDhsOaj1jtBUuGCcmDlFHR4w1CiE4ECUZrtOapS4XbNuJs4nIIdeGEZPDF/yid1MJBzOiXxw9Sn/3QxgxoTLqMGzwvbcRLaIIC1H1vrr57E8dzK3FnU3UF79oo85Wd1LvV2ZpLjEuc2wNiWqYk75zDLmu5jNJWMg0fCaLN3TRSVBZjfDZt+vrh9v8juSpU/93SDLoJsf7JINucursYNDdlT9SvTRmZFohDFL755Z2UF/d2ip1i0fTGfk9vzvQI40P86jzzZisQEUQX786QqfIv9vbKfUye6RJCuGz8RL1zZqmKU/c8rbqkwVddaXvyeIC9eLoUer5oROMCtkHyf/pYuQyskoOVb6MXF7V2tTD6c2XGC/5VcFLngNPeAFhuMKL/v3KrLTaHii5RhsdKbkhPyitbjOyK2Si5G6MV3KlmsjcYlZyMeQy0o2DgPx5xCm5MunPn4Ws9kXz3I6sSvV4jqkqnpg4ROOWEIQyLhs+hRBfrPb6DEIrdB+MWKAufrniMr3dwN/ES2NGatoIvKL3dZ9nPHsbvs1WO9u9UanxN1CT8Bnzibl61hY+O1OWZw+fbbVbRKQP2jd89tX5Dc4qZX2p2HVZ2h5CzWcfz+uu3p7WV50qGaReHD1Kc4kfz0lbpXCZkw1zJU0W6+84E0T4OceVQrD/eWLw/YYdZ7lA5NlwbQhVfjyvu8bjnV/bOP37IrzPJ58dkwy6yfE+yaCbnDo7GHT/NGSwU8kFWUFD7qHkPtMl9SMXgQ/LlJErwzV4kX91fLRm5GrFakejdLPW2sa67Yw9uScmDlEvjx2hPbncdobiAWCTlrVJhW1mX5pe0daGJxeNTwUN5lrpClUOusL9Acv4ib7X6TU5hisMuSFGK5L9eNmTimiEcIgb6jvkuoYsrbJzwl/YFbAy53pZWUqwPWu2Jl6wT1o20Emkm08Q0FbMwSFAXp3bqn3BFPVpPTMuG1QIEVqfi8S/70UjtEKPwoj9qpFBt3inIkedLC7QFh5c/IARY4WR1+iTm1Z7F3G4MGK24Qt+0XmkoMMLbQv8eYfPUO/LJSh0uYvaYFjDZ58sTaMMOQBLvFy2h7AHmnm5T/S9zqBZyAuF5OUWNJgby8t1+XJZNYc1iu04azqmEXk2XNuZsjy9LYIv1yBZCHLIif8sSQbd5HifZNBNTp0dDLp/HpOrSyAMhZD9uHFNZxH4sCiyghUfRuEarRZiTRikyF1khfdm9daeuKMjxqrDhdfo8MeOrBSUnStkkXJmsgJWtFwja1uP+7SdyQICTvTjxQP18DddUgoLlCygqxC+wZocwZDPl7dNWUqgtmO4Ahg/Jtn/fSu5sCtIJVf6QlFKwA104BYz7SJTJVeuzbmYg0OAXDP7S1Jy2R/KlIvjRYW6/vrTxZ3TnwMuhDsapaqvgyBUXCFEjTFiuABGYMRs6qKsVeY2rlvaL1ZL6Nnb8G2uSmVX+ExeLtgLzVQL5hNnHD7b3lCHzzTaUAZiY773Psq5gcwLWN2y+QzfdTCh5YUClznwoKsIledSzfGcfUshpP/5+pbpkB/sOAhW7slLKeZHR4wN49pubp0OVRI5RDOgA5Hj+IszkkE3Od4nGXSTU2cHg+5/FmfFkxX+0FL7Pc8fzTdVwhrU+Xrhw7g6FoxceA/ByL25tVas3puRrT25KIKAJ3dn9izNq7xLVMhK1RBDbiae3CgllwsIfOgKCIVAyULgidfk+JwMJVc2nvHL/n9AycWQ66vkspp4g/hMMOTWhpKLYg4MubMvNdvn8FmwPxoBnVDrGX8OMgBIFJKaFEJY6SNiha63HA6MGNBWkm4hMWJ3df6pxoiB4crPvtCR/HdhxGx+6OEN5oeGL/aL/qbLT9WWHnMzC59ttJBF5MUieOY+4TPpQ4dyrut9D/QIXSq+WdNUfXVrK8MeIj3Q8J9v6nZDiGbBF2wuPfHh5bqsIfCd2xrmpB1n34BSjch7fdJA9d6MbFMxX18/fJkQfvPjf5mbDLrJ8T7JoJucOjsYdF+u6KzOLe2QSouvaZougYDXM2g6q4lVwYUPC1kVLPiw88/npNA9XDiwKcD3YCW+sItBVuAiiKf6lRnD1PorF6i1wUsGaXIuHiiiJP/ABlWhGlmXkhvXdsahm0pSsW5pv9hQD4H3gScRJQRAV308r3uazwpgO15ArLbTcPU/qeRiyEILHSu5XC/LSu4Sh5LL3GJf+wgruf0azNYVy/LCAWj+KlLV8Vk83X+q0TzHvGJsPgxV0REA5I2H70XD+BshjJjG6yGUGWDEZOOcbD2DXUHWKmPw4jauctps2EJ/ceEziRHjvwNW0LHNkFQL5rieKhkUbpqLCJ/pUGyGhAWvAg4QFhzNZ29P66sv2viuo91vo7hQSC6xq2GuJqUQ2Byx/xkX6s1BOdCunAq1N3+K9v7jd8aJa8OWgv3mwe/L8b/emAy6yfE+yaCbnDo7GHRfu/4nsWQFHTrDAMUqYUydr42s4MSHQamS+DDJyF3eVp2t7qQ+mNNLvVORo5u1uAgCIZstPeZqLqit7UyGnDBQsQ/Rh67AQxXYlROCxDOG3HnECfWlK8BWglQ/LiNejWfCm5ixkmsD5HsquZzwr6mSO8bymfiUc0hvKIatCTRsYcj9WdtUOEe2z3G1r/aHzshOB3RsrWdUylErhRCZYsTIE/1+ZVYIbQW6hcSI3eTAiEWt0W3hM1bRGaU3jv4OZl8aHr64rOCpfmXG5cLZfOYIn8mmuYzCZ+J5u5Tzv28Js4lxqYjj5S4PimhmX2rSLGrCy7VxiYuCDMBMh/+ZG+YOFpRoOw42RigFkoq5saUQuLa/nrwpGXST432SQTc5dXYw6J5a2ty0KgSwdVYItVXB0nRW4zpfGz4sCJ1pfJgjdPa3+d3U+5VZ6s0p/TVZwVYEsbnH3FARxILLUi90pMknCLIC2KC2FW1U+QBe7LLtbFqzdNsZ/Ihgs97XfZ5e1UI9RLc8PIlopAMBQzdtsZJ7+GrDMycRb1GhQOuqnMsIbEquo9aXldzXJw10Krmc8HcpuRJl5fKGuoZcqeQWNTYrlrE25wS6TPrjs3hzSn9NI9HNc5bgmXXgqmkhhK1uVib+CSOGkhTZenZ0xNhQ6xkj3IARw+Al27g4ECUVRpeKjnprWTvLa/SVHRaHWLnwQiMUBY6rwScWTXN8sbBZRKKeeSS2TRZwBISF7+7NrPkM33VUWLu4xPJZZ1oKwQ1zmYbP3pzS3wiffbOmaeoCR4r5dwd6pLcUwm9+8vWVyaCbHO+TDLrJqbODQfeNmxumQ2dUm6n9uJxedgy5NarzdeHDnumSVqrAYrUwct8qz1UnJg7RjNyoIghezUa1nUG58hlybUouhip4EeEBRd3minZpP+LmHnPVg73m6EQ/fKBQD9FKd+7GK1KhEChZCAdGNZ55psydQ64gXxhKLuqWY5RcDLm+Si77QqWSm8nFI2ptzpcODFscgpL+aKjq707voz6a2yNNI8HFUHqjUQgRo+RGEUikZSQSI7blEvXdhnpGScGHVT0NVu6hIRPVU/3KDLSVDeFW0dxE6rnCZz4YMRk+s1Uq30EKOnuhYdnR4TOXTcQVPhN8Yl9ebiS2TSjn36xpqj5f3lZ9uriz5nXLS8XDvVPhV8nLBWEBl2wOvcaVQshn7eISw3e+POBys/8ZLOhQyC94ztoWhfcBONCO7/YXX9+lTr25Jhl0k+N9kkE3OXV2MOi+eec/2Usg2I/rYVXIxI8rywb0CwVD1G/rR4bOUF/6wvBx6tCQierp/lO9iyCmBkrKOPGSkWSFTJVcZuS62s7uCNaHm3vM1WEQqFhY1bJ6eG5ph5Qn8c4mZiMdapcBxWclVwQDo4bcqKIOo4yAlVzULcfU+mJdXhtKbqZIN7aPFDlwblibM7MYpAs5bP1tfjd1bmmHdDugI3jmqleOKoSwKrlsV2A1netmH0j/fcihSyrp0q5we8dFmjhSJdBW+JtwtXFFYcT4wgeyBRdxoFL5rs4/1Wv0ndmzDAXdFvjzwYi5LhZxzWd6yA0wYka9L77z/LwzaD7bSM1nLpqFtOX4hs/wuzOsQbgUwhU+Q6tfbPhssyiFkJcJ8d1+/czaZNBNjvdJBt3k1NnBoHtmvaMEgpu0CHCfyZAbVeerV7Ee+LBzN16h/ja/m3p3eh91enK+fpE/O7hYPZM/We3KqYgtgriQtjOp5PZqWGasaG3r8SrhAb2jU6qJaEsQBoEfEStE/YKfka0+mtsjnS5nT2JgK6mtxrMQvkoOWIGqlYmSKxFitaHk+g65rORKlQsDwPKfVKvb2qcrlm3MVvZHG0l/oJa21TN5xbD3yEIIjwCgld0abDtChAuEobbWSxel3NpKna3upD6a20O9VZ5rYMTw/B/qNUdtCWw8NowY2rhk45yPkusKn8G6gyIOrlTGZc/Fyr2g8FnMFiPSIsL1voeyrIQFsIk/rOqp3qnI0VulZwcXq735U0KXCoRfmWZhIyz0bjjNeNZRlgVc5vC7g2Y/lEIsbbPE8J0zC/rQkInq2Kgx6mRxgXqrPDf1WyOfM3OguRQIWz0KIH/93SZ1+r9+nQy6yfE+yaCbnDo7etB9oHk8Osyj6cxV5+vy4yI5rlWq3zVNc0DXNtaew08Xd9aJ5pPFBeqVccN1deyevNRKFi9yhM64Pvb6lmnwvQyd+ZIVfPFhsmFLtp2hCGJXToXGJyEMcqYsT703q7f6ZGGXtA8ULOOt9VIDDiksxks+wpfoNVzRZxTyg4J88UgTwy8dp+TCKx2l5KLyNE7JlZ+Jr5IbVQYBhBi3z2GdiwS69kezqr41fTGU/tBMqn3jglAGRxqEC/4M7mwSSvxj6Do0ZKLamz8l9PxXBXYFrNBntkit0DMthGB1kQcvqaLPFAFMXPbiWLmwiRiBP6ZaSD6xZ9NcbJ21rYCDthd43h/P664vFbDnSHsIe6AXBlXKLppFTcJnNmsILFK30EUOvnNkAELhsyhcGz9ny2UCz/nNt/4lGXST432SQTc5dXb0oPt/2saWQGQy5OLFLVfhIT/u4aszxoe9PHaEemH4OHVg0CS9Et+RlWobAg8UKfJFl4eLIGSzFl4ymVb6whs3rIFZPsCMXFvb2fas2eqJvtepp/tPVYeGTFRHR4zVLVvcSvfVra1M9RBeOWDepOJuCTxlpOTyRQQMY7aTQEXc5F/riyHLV8nlhL+vkitf/uxX5AAUqk9vE2tz4KzQPgdmsVZypT96az3Tt0jNc7La17cQIrQ+DzB7YLcayiKp6aibtSX+n8mfrJ7MnWaUFLBPlKuuJ9IlIwoj5mLlRnlFJb5NFnG4WLmfLu6cIsFw+NIzfBbFJ+YLXih8BpuOrd5XEBbem9VbX+xQwLErpyKy+QzhV3zXuW3RFvSzXSpgleJSCA5YLm0TRrZBNQdBBJsjo9VvdXN7KQRf4iJ+Z5JBNzmZnGTQTU6dHQy6p3f1DA9ONfTjOq0KFj/ud3s7pdZjOxqlQzXBKvbc0g56iEIJBIfO4IPjOl9X6IwVKw6d2QJOmeLD4I3jsA23nTEj99HsmXpNa6v0NVrpftXI9IEGthIdCOF1reMl763k2uwkMUou/NLvTu9jlBEwwgqfTZSSO/F78ORyEBBKLsog1nZaqIs5EICCovjSmJHhtXlQf2qo6vgscDHkcE6GAcCoFi590ZDVvvQZYH2Oal8k/uXQJe0Kkt+KFbpPIYS8YNjauPjZ3/STNEqPGa5RrFxcLkI2kQiMWBwrN/TMXdi2Z7ro3yVZwIHv/OnJ+ZpNbLtU2JrPuN7XRljwbT6TFwrmEsMagvCZVM3hO2cWtDN8Jp8zhc/kxui/3v7XZNBNjvdJBt3k1NnBoPv6n3JjSyDims5CQy7qfD+Y6/bjAh/2QMqPixe4Cx/2/NAJuk4TEHYUDuBFjjVhVBGELz4srtJ3TNA+hLANVrT8YpdtZ3vzp6jnCovUsVFjNNYHykqolU76QI/kqW9eGmwSMIgVGhe+cVbKyspll5IbkC9wCXl3eh+rkitrfetSyWWUFfyKCECBI4rqU6TPoSiemDjEaJ/TzGImXQhVXVt86GKYSSEE20Y0SzpYn+u/k6AQgpVFqOkYulA3KzFiG7rOV2s7LTRKCqIwYtkNK0LqoqtWGeoiMGLcxoVnDxX9bsca3cXK/Xp183QoisJnvlQLr2cu1XMZuOR6X4T9iA39wvBx6tnBxfpiF9d8ZqtS9gmfySplhF4nNl5kcIlhywEq76GA6LI3f0pINWdriG71c5VCWJoVpeiRKLrJyeQkg25y6uxg0D3555EhqwLCTNKqgJeIy4+r1+CEDnP6cYlJ+fXq5uqLm1urs9Wd1Mfzuqt3KnLU6cn5eohC0OPxnOnq4d6VutVpLflxv4/QGSu5HDqz4cPQdiYZudx2hqCTrdL3m9ubpfBJzGbd006vEPULHityUtzj6mTjlFx8RlrJRbJ/a73UJQR+UIeSC34xlFymXnyfdAUwRKWSy6UEbB+xlUGwkvvR3B7qbHWnMLNYJtDlZ2FhSnvbFUAhCf5WQhi37Q21pQccaVu17/6B1+q6a07889AFuwIH/3iFbiuEiLMryEIIbuNiFV0Goo6OGBtiuIKVqxVGvlyI2tlMqBa2C55RZ+3Atn29unmogANB2AODJqmn+pXpzRJfKrj8BJdteKB9CQvcfMbhM1e9L3OJt/Ws0mHXw4XXqGOjxqhTJYPUW+W59pDfb+unsZJB+My4xEXYcZJBNzmZnmTQTU6dHQy6J/6zJB06s1TF+obOjNS+qPO1+XH/vjn18v7m9mbqi1+0UeduvEIPUS582I6sFJtyY9f56u4g7AEWKNSqcsKH2YogfJq14ip9WTW8oVU0I5fbzl4aM1KdKhmkzpTlqQ/m9FKfLOySUrBWtUgpK9yyhVUt+UB18Mah5Npe8nK4MipOobbjM+I2OouSy+QLXELgl0baXNb6fl9KLq9x45Tc9VcuUFspAPVM/mT9ebB9RF86UIWNYSsgXWglF6q6I5yTUSGEJQglW7jwd+IqhOChC3WznPiXJQUThFfdByMmtxsYcrlWGRgxbuPCs3+4d6XanVsewrfZKpW59e+7Z7oYoSjpha718JlHva8kWsA+tdpSwOHyQMcRFmBZsNEsEHp1cYkf7l2pUXkoPUHYNdQwh82RLIWg6uooa9R3/70toS4kJ6OTDLrJqbODQff4y7NDVoWM/bjSqgD259F8Ex1Gftzzv2qUUqiWt1WfLOiqPpjTS50py1OnSgapl8aMVEeGjXeWQECpwksFLFD2fdYkdCZRVdzwxPWaLnyYjZGLFa21CIIqfTUIH21nqNuUVbIWAkackqvLOmTlshyumNEqlNwPq3qqd6f30Q1QcUouVPbaUHI5DOir5DJeKaoMAoils9WddBW2DuZAycXavIYIMadtBEquRFr9oaUOnukWruVtdRAKF0FZ7buVNh0rO6T96thyIJBpq/aNsiuwT1TaFaIKIWQRx4FBk9SRYePdrFzYFaTCCMII20QyxYhx218MRuz8nU0MbNuZsjx1srhAHRs1Rh0aMlE9kz9Zhy3vCXCGtuazkiaLNeUl03pf2Xxmo1nY6n13Zs8KPevTk/NTFqmFXdINc67wmWByR1W84xknHN3kZHKSQTc5dXb0oPva4gsLnfGQG6CpjCYt+HG3NzT8uF+vaqHxYe9XZnnhw9ZduUCtDTxwUKrgx5VqoW8RhIusEFXpi5UhVMMoRi5eNrwex5oWXkRWsEJVsrKwI3jB+3gSQ4EnMVxpJRdD7u+amm10t7Yykv3wg7KK6FJyOfhUm5zcKCWXSwnuCNRERlnBI40AlBEEhH1EXDpCwxZjljLw5IYKIag05ZuXBqetPRyEEoUQ71dmqbfKc7WyKAsh5NAlE//jyMrDF0AfjBj7RBltJVP/vww2G/h7AGmEVfTXJw1M49tQisJrdGqbcymMceEzK2Ehw/CZq953d255KHzG2DYu4MCF2+WBdpVCoIBDVilLmgUTFkARwffc9qx1fXVcw5ywhtgsC3jOSTNacjI5yaCbnDo7GHT/evImq1XBy4/rsCoYqX34cTeZflxuOkO7EJiUe/OnqCdzp+lQjSyBgOcQShVeKjUJndmsCgg44QVT0mSxFz4skpE7I1vjw4wiCLEet7adidCNz2Bl1MlSCUGochlrctG2BTsJkv142T9XWKQODJqknsydplVEqeSCX1xbSi4+FyT8oeSWOJRcqSZGlUGwN/S7DfVSA4Bs37IpuRkOubYAIF82rMEzi0f0+P/P3rsHV1Wl6f9Y1cMdBEQEDHe5CCEQbuEi4R4gIRAJEAiQQCCA4dIM3lFpGBvBtmXgR4EyqIUto6J8tVEpbRhkdLTRUQtxREQRGC94axREFHHK9/vH2c8673r3WnuvfZLO/MrvXlXzxzh0j3U25+x3Pe/zfJ68bBWEer7PFHqq53Sjmr64eZI8guAZhq6o1b6y9YzbFXghxPK0xcqjzgcv3sYlK5VVIIqxcnnbnGK4GjBizkpuGEbMK6mRGDETtg0+6K0e0vDOtonfJFOVskk5txEWZPMZt4fI5jNOszDV+746OF+h8vBZf3dDGp1f0dQfPpN/xx0a5iRO8oNjK+JBNz7OJx5041NtR4XRjq2wYqmcQ2dYgx+6xu/1tPhx4fc8MakfvZc7hN4eNZJeHbpj2RQAACAASURBVJxPL/af6KvzBT7sFs/ziZYhKFUYck1qYVgRhI2swCt94YmTlb5gssL/GcbI9a3Ht7IXDms7M1XJRvWBSnSVb02O4Yqp7bxtC2B8vOyR7Od+UK4i4hKyWNgVqkLJxZDLlVzeBsV9oVLJfabXNJ+Se3JKHzXkKsTSH+v47SP80hGCc3NWck2q4v6Oif+fjzdQrYAYcm2FEPuyCunpzARHWmLc+NDF62Yx5KaCETO1nvHBi6f+7+9cTg97m409/SarQBRv41LfBYT+OL6NMYq174EBb+WE0GPotqjhM1O9L3zQd7e/TiNacGybLOBwCZ/Zms9QRsP956BZgLCws8cMVSf+5rAxdDR/sPb3XH3WvPTEdKEI8J1LywI+5/c/uCkedOPjfOJBNz7VdjDofnhi9d9XybWQFU6VdKfjhVl0NH8wHRyZQ69l59G+rELa3btI1fnydfhtXnqcM3ILGuiMXN4bH4WRa2o7QxEE9+SCyco9uVsDPLloekLDltGTi6pNr7RD8+SmoB4G0hXkmhzDFXzTa+vT+dsvp7PLWqlnxIOBr1wzXjVAPdJtNm3xamWxuuVpcwy5tpIOF5Vd2hXk5WNmE11NBLsYxAvglV65Zjy9PWokvZc7RIVyMOQqlQuKorc2t1YsOwxbxoFLquq89Uzyilnr2dflnemTqb3oWMEAayHEegPGLYiVayopCMOI8RZArqTLMg6OEQNtRAaifFYRQViwqugWhTHQC12J8NnR/MH09qiRvnrfLV3mqvAZV89N2DZZwBEWPjPxcnGp4FXKq9smf3/ggX550AQ3Xi4+a87LDSmFML0Xzl/YQN//eC8def+38aAbH+cTD7rxqbajCiP++4+BA67Rj4uqWBY6U2vwPzdNDk8bk6n9s8ta0emKDsqPe6xggFIJ4TUEPgx1vhIfVm7wfHI/bqr4MBNZgRdB4AUjK33RroWVIVTDD8YP0hm53kB1YU0DHVm1q5meKpdDleeRcykgsCm56jJyZFQyfMOV3K1JXuj3y5upi8gnU3vRRxP7qzY6MFqhaG1iftBbmIoo7QpVoeRiyApTclEvC1/o3qxJmpoIhQuhHKT8eQBKCwIGrM1dlFyrPxSFENh8MFXxxzsb0blbm9M3i9o7FUJgfc4LIfgzGCXqZlPFiNlaz4IwYlAXj+Rl04lJ/ZKkEe+zV1sNgW8z4q1E+CyIlfv9j/fqtdYRw2cfF/XWwme43MEigjplGT4rMGDbXMNntuYz1FhzD/RdATQLhF6tQb/HG5hReaIUwkZYMF0mjvzX3HjQjY/ziQfd+FTbwaB74uN/DlRxnUJnfHjy+KtcITSRFQ6PHUpvDB2rVMJdmcVKoeJ1vhwfxjmgYwyM3FTwYbLtDN5PXgSxxPPErWqzkO721oXck/ti/4lGT+7pBR2TYRvpyWVBJzVU8dKOFD25gXQFHnhiSi6G3LPLWinf9LGCASrZz/2gDxuU3KUt/JeQURbyRSpK7lCDjcRFyeWlBFATOcrqwh/q6Ug3UxAwQOVyVnJPL9X80YpG8nxasv7a0HrGCyHeGDpWBaEe615qLISApUc+A8nKdcWIIZDJSwqKvO9FxRV+uwgfvGQb12fTe9LpBR3p7LJW6rP/eYsh9IcLHytFiRI+k4SFyoTPXsvO0y4WoL7c1c4fPoOFChdvG7bNVu8rw2ejWNCS83JXtlmoeLnYJO3LKqQD2eM0koiVl4sNEni5nGYR0uznu8R5270jb8+IB934OJ940I1PtR056OJHjP+QOVsVnk9LrgGZVYErhNKPi6YzqITwe6KyFHW+HB82seEitYo1KYWuhQN8JYsXuSQr4GXOiyBkpS9YlaiQxUtGqYZg5K6rrdfIesgqrGjPHx0Tue0s1AfKPYkgYABd5QWeFJ/1xpZKzYLajopTPCPYSTZ5nukgJZeHAqtCyeWXD5uSyxP+0hfq4xbz5i3+8udKrgGxFKbk+mpmg6p94WFn3mh8X6Aq8oGLF0Jg42ErhJDVypI8EhUjBiXd1Hpmw4i9PiSXDo8d6sOInV/RNPF9CGjjCvOKRqFaVEX4bHv6LNrqXe6kei590LbwmVRz+d95vlVyaT7jVcomwsKXZV3pzNLWidArLnPgEu9tZ+cSB1ysg0KuR/9zQjzoxsf5xINufKrtYND970/+P99KStaTBobO0ODEQ2erG4aSFfYPuFbxP6ESojI2qM4XL3CTUpgKIxeBj7z6CzUeK4apW9KSlb73dy6nbV3LaGePGRqT9Z3Rw7XiAfg/lWp4n1fpiy551MjyoJM3VEVVcn3pcqEeanQFT8nSAk/emlw2nnFGK5RcgPERDORKbmFDXUUM8ktHVXIx5LooubJeVqnrQslVQ65NyY3YvmVsPWOqOp6F4kpzf6jHlFbeaNZ6lkohhCzkcFFyTUMXx4hNFqxc+ER56p8H/3jjnKYurmmQ/D5YAlFcRQdKz/Y9CPJCGy8XKYTPZNMcr1MGuxs5AYTP8Hfetd4XvFxTAQeQeQi/cg80/q4fycumj4t6a/aQQF7ukVGhl7kgywK/xH3wSk486MbH+cSD7q/4/M///A/94Q9/oE6dOlHNmjWpZcuWNH/+fO3P/PLLL7RmzRpq1aoV1a5dm/r3708HDhzw/Xd99tlnNHHiRKpfvz41btyY5syZQ2fPno3078MVXZ9VAaoI0vquVoU/1FNw+9MVHejLsq70cVFvpRAitR/WdBZU55stVrGujVq20BnUE0lWQOgMoQ8UQWCYQsjm3THD6KOJ/enT4kwfWUGpho/WS7zUd7fUvXEI24gGIpehKjTRz1nG8CR6lxGgqzjHGAoi1CysyYF4wzNa0XqRYrTyZL/0g0Z5PiYll9tIoGwFKbm7Mot9Sq7mC5VKrqcm+gYt9vJPJXhmUnJ91b6yeY5RLmTwDCg3UEg2dZpHd4UUQtgwbkFKrlyfZ7NApmw9441zEiPGV+gSI2ZUF3noD1sNBxXdqqALu4Iv8Pegn098qqS71jQHPzr+7sMigrBfxRVJ9dzkg5bYNpd63yjNZzt7zKDdvYs0wgKvUlbtfutrJ7ZIjzdINC3y8BkuFN4GSV4oTEOu8RJ3fCJ9+OKgeNCNj/OJB91f8SktLaUWLVrQ5s2b6d///d/pX//1X+n666/X/syaNWuoZs2atG7dOvq3f/s3uvbaa6lBgwb00UcfqT9z8eJFSk9Pp/T0dHrmmWfo8ccfp7S0NMrLy4v078PDaFq4gCuDnhoVGDpDwYClBALrV+nH3ZFRQg94L27wP6ESplrn61IEwRm5/EUORi7ICrYiiOf7TFHp5sNjh2pMVtRrKlwVX43jRfNGn6Q3zoCsimxXsHByfa102+vqBIybW2iXkaDGM67k3uQFA+c0TbzsebIfflCuIqai5NoQYlGU3BOT+ikl1+cL5c+kEkouT/rLLYi1fQ7PYpPBH2poPeOFEAgA8suGqRBiQJ0yJ1ZuFIxY+eWJ7wY+fwy5D7OCFFPwT0NbIYgZoi66qugIn5mGL3wHTOEzIPRszWcIn2GLcbd3CUcT45yA8BknLEhero2wYAqflTVNZgNQwMHLT4weaG9rYbSHpMDLtf7eiJDfR89nxoNufJxPPOj+Ss9f/vIX+s1vfkOHDx+2/pkff/yRGjZsSMuXL1f/7KeffqI2bdrQddddp/7Zo48+Spdccgm9//772n9/jRo16PXXX3f+d+J4MRViYkllrP6iWhVc0WHcqoAVLFTCytT5Rg2dTW2UXMlikAoqgnjlmvHaMMXxYedvvzzxQufFA/Agspe6ah+qBD5MKbkePklTsbCq5erhfcnLCAgYp0q608kpfVTTFp7Tc72nqsDTRhYM5MMV9ybakv1RlVzTs5l1mT/4FKTkQt3SlFz4pPmL3/MqombZVs4RCSEmmcXSH+19b/Aszq9o6vOHcm+0rFcGhQQDl60QwhaECnsG+H7AysPrZm2tZ0/1nK5KCg7ljKCj+YPpk6m96IvZ3RJIvVubJ+wKG2olfjOeaOi/YAi7QthnH1SpzBV0ddFD4M8LyAZhxOTFAluMG69Mhv34Z87VcxeMmKz3xfbCRLSQlwoo57BM2QgLpqCfjWbhghGT4TNQd4ArPP5Ux3jQjY/ziQfdX+mZMmUK5eTkBP6Zffv2UY0aNejQoUPaP//Hf/xHatOmjfrfZ86cSZmZmdqf+eWXX6hJkyb0u9/9zvnfSQ26H62i775frbc2fTxN83hqfFweOlufxFLJEggMT/DjokkLCuEGz/O2onXC87ZYqIRBdb6p4sP4S6VAkBWWttDJCrYiCOCSPprYn07NyKCv5nahM0tbqxe6Iivw4gFvoELF5rmPp2k1sjZvXNBQpYZciXrjL3g8K089/GFlE6XkgoDxwfhBasjlz0k2ngUpudkGJdfl+bgquRhyU1JyvRe/8oUKu4JWSuCIsgpScjVm66Fr/EouVPWVTei7G1vS3+Z3Cmw9254+S0Na8QCgrRDCpuTy/zEpuUEYMaD1kPjH5y8xYscLs8x2EdE4p9l3hLoYhNMz2naCWLm7multcwHhs71Zk4zhM/zdL2sa/Jm7hs9M9b6caMGxbXeLAg6unFsJCxtqaf5zoz0khGZh5HLLDID3e3Pi8TbxoBsf5xMPur/S07p1a1q0aBEtWbKEGjZsSLVr16a8vDw6fvy4+jObNm2iSy65hH766SftP/sv//IvdMkll9APP/xARER9+/al6dOn+/5/DBw4kIqKipz/nXgFsFp9s2IBrgwarQprGlitCjZ02EMeOkw2ncGqIJvOotb5mqwKptDZxIbJ0BnUwjs8ssJ6b5CSobMD2eOUYvVxUW+FqlLD1Nr6SbICuKDeuhAJZxM+LOW2M/5y956Xr5WO+0A99fD0go50akaGImAcHJmjgPgoIXiIId544ImvyXOFncSU7HdRcqXKXsCU3IXes0FBh7OSu6CjWck1+UItSLfIZRBA7/H2OazN/9xUU3KVqr6go4YQ47xibD6wOuflBBi4Chr4kVZo4QqzjIA+YlLTTetzBDJ54t8U/FNhTPhEUVLAg5im1jOmLkYiLISxcrlNxAv8IXgJuw7nE8umuVvS/BaRvPoLnTFirvW+kwXRYkVre/MZfoeshAWX5jPDkGtrPjM1zHEW9MmHLosH3fg4n3jQ/ZWemjVrUv369al///60e/dueuKJJ6hDhw509dVX088//0xERL///e+pXr16vv/sk08+STVq1KDPPvuMiIiuuuoqWrhwoe/P5eXl0ahRo6z/DmfPnqVPP/1U/c8bb7xBNWrUoCPvLdKKBb7/MC+B40GII8XQ2cuDJtDerElaCcQmb/2KqlI0nZU2MTedQSV0rfO14cOQHs9lSlVZ08RLBWohEuRQT3ZklNDu3kWqCIIHnD4vTU+sCm9IS4RsoKIg+PFs8yQXFGQFi2roUj5gCoIoJVc+L7BZvUS/8oF6LOPPS9PpxKR+ylZyIHucUrJ44ImXdWC4AuJNPqMoRR0mvzSU3IIQhJhNyT08dmhSyQWrVSq5ePELX2iQkht1bc7XuRqzGKQLT8nlSX88i7eGjzb6Q9eLal8UQgTZRmxDblghRI6B3cqHLlPr2etDcum93CHuGLFX0xVST9p3XIdcaxGHgZWrwmd3NqLvbkhLWHa8i97hsUO1y8Vj3ROXvPVXLdDCZ+WXJ7cYqYbPgup9CxvqRBEQLSS2DdkAn3IuCQu8+cyhStlkWbA2zDHfOTZHJ++vHw+68XE+8aD7Kz3/8A//QHXr1qWvv/5a/bO33nqLatSoQTt37iSiv/+g+7vf/Y5q1Kjh+58jb89Irr45jgoVsYYqX5tV4VDOCJ9VgRcMAB2G4QlrcFPTWVS/Jwfd42Ui1+EydIaXOFigvM4XobPXh+SqFPmnxZn0xexu9O3idqrCVPnhMExxsgK4oCxNXil8GG8746g3Xun7REONzYpEP57V8cIslS5H2Akr8gfYS/42ga7igSesbG1KbhQ/KFcRobJLJRfPpkqVXPhCLUquE8pKBKA0RfEvrTVmMUgXyh/Nhi0TQgz+UBkA5JcNXpgShnHjdgXpETVV+4LdivW5qfUM1b7cLgKE209/rJOsuZY+UV5SwFi5YXYFXyHE14u0y95PB3r4WLk/rfdfLnjgj1MtJEZMNs1hixEFI4Yhl1/uTNi28svtBRzgdVurlCVhYVez0OYz2991+bvj0jB38t6a8aAbH+cTD7q/0tOsWTPKysry/fNLL72U/umf/omI/v7WBZui+/4bhUkclfcDdnFvu8T6+/EGTnxcU+gMJRBQpTiDkofOALg3NZ1F9ePa8GF5BnwYgPfAJGGQgg+OF0EcKxhgLoL4Y51ksxZCNp7/UCMrsDS5q2pohLNzEgaUXO6f9p6XUt1vv5y+uyGN/ja/kwoIHsnLVurhnn6TaVdmsRpyee0yfNNRldywIdem5BY5lEEEenK5kosmKIuSq734q0LJ9QYAn5L7eAOdWcz80SYld1dmMT3CLoZRq32jKLmyhUuuz0EeWdsugdfb1rWMdmSUqKHrzWFj3DBiOxvZMWIOrWfSD+1UxMFYuRfWNKBzN7egM79tozB6yA+YqBacT2xqmgsKn8nmMxk+C6r3hQ+a+9AfTTdj207NyKCvyztbCQuq+ezgwEiXilQb5k6s+Yd40I2P84kH3V/pGTJkiHXQ/f3vf09EyTDaO++8o/2ZZcuW+cJovXr10v7ML7/8QpdddllqYbSXhyYDZ1h972ykFBFblW+YVUGiw266UkeHFTdO+t1sTWeuVgUMUHh5IzmO0BkfopAeX8WUqoc8ssIzvaapOt83h41JrmRF6Ex5D6FYIeDkDVNKRRGr2Uq3nXEShiyCMFT6opUOoRv4QKEe7uwxQws78bKOBc30EoIxInwTpuSanpGLkgt+MW/cwrOpUiXXkvAPG7SCyiB+OtAjafXZXpd+3uqFAD1mMSddwB8th63NHkJsJcPtYfMhLxu4ELoqufx7wj2iaOHi1b4rWi9S5BHObsX6HN+NT4szE9SRpa31S4ZonNPKUQJ8oq5+aBmIUpc9YVf4fnkz+mZRe/qyrCudnNJHu1wg8GeiWsBSxZvmJCM6KkZMhv04tg0+aFMBx+tDculQzgjz522qUrY1nwXYQ0KtIQENcx/dVicedOPjfOJB91d67rnnHqpTpw599dVX6p9BUX322WeJKIkXu/3229WfuXjxIrVt29aIF/vggw/UP9u7d2/KeLFje/ombujAUT3VJPGS2pp4WSDIhJWra+gsrASCewyzLU1aUet8TfiwIm81CP8b0uPwHG7rWkaPdU+wKfdmTaID2ePUivB4YVZwEYQHvteatQLICi5DLlTDIEYuhiqlvHv+6Z/WJ57X98ubqdDNqRkZalWLRD98oI90m01bGeYNBAyOroJvOkxtd1VyJfmiyKAiYnX7wNVztFrfKlVyHRL+gUouW+Wq57G/Y2IAEJcOtM9h2AKz9UD2OE1VR9J/ddsKNeQGVfvygSvINsJtPUGFEKb1OWe37ssq9A1dCEOdu7V50qvuiBHDdyIlFR34No/trX67BCuXh88+GD+I3hk9nA5kj6N9WYX0dOZ0LXy20hI+43ziyobPYKOS9b53tEr6oBE+w9/5t0eNpCN52X5s29r6CTaxICyk0nxmteV4vzu+0hNYpDbUog+vvzQedOPjfOJB91d6zp49S61bt6Z+/frRrl276LHHHqN27dpR37596ZdfflF/bs2aNVSrVi1av3497du3jwoLC62FEd27d6dnn32WduzYQa1atUq9MOLPnZMq1OMNEi+KjTqO6sxv21TaqlAm0GGVtSqY/Lh4eed5L+/ixslQDR+i7u1wnYLdP9VzOu3uXUQvDSxQdb5OobNH62mhM85j1dbiTLVy9X9aGbl8RYsiiIBKX7Rsgc2K0A2eFdRDhJ04AUPWyUp0VZiSy+0kpktIFCUXq1tr41kKSm6Ui4dNyfUp60LJ/fHORlr7FmcWg3QhEWI8eMbrlSXKDUquRFq5BM+yBdKKV/vewYJQW7vMVc/Ax2711ufgR19Y08Cf+P+Prn5OsUPrmSyE4F5RrqKrUhQEMGHbWdNAsXJ52xwwenuzJmk2Ee6F5lQLzifmF4sgjBgfck0YMRn2u+nKpHoufdCvDs6nt4aP1go4vl3cLsnrthAWXJrP+OdsvFBIa4j8rL2L9Y+rG9L7C66IB934OJ940P0Vn2PHjlFubi7Vq1ePLr30Upo2bRp98cUX2p/55Zdf6K677qK0tDSqVasWZWVl0V//+lfff9enn36qKoAbNWpEZWVlqVcAP9ZKR4dt8hBIqxrTdze2VOtvhM7eyx2i+Lgv9p/oC53xFTjHUvESCBlosjWdRfXjYsg14cNu8/Bh665aQJs9ZM+TGTPp+T5T6MX+E+n1Ibn09qiR6qUCtfDM0tZ0fkXTZLMTL4Jgw5TWrGUhKwRV+hpTzgjbsGY6NeTyocqrNMXL/cuyrvTZ9J50rGCAUt1fHjRBrWp5QBDqIapNgXnj6CoZeHIdrmTFqVRyQb7gflCp5EJld+bkOiq5UdR1k5L7/Yd5urKOIKCwj0DJRfscH7bAbH3g6jnqe8OT/nx1nkq1r7wQclsPL4SY01QvhDCtz1/LzqO3R41U7Nav5nZJNgHKMFRQ4j9C65mtjYt/9jz0x/FtYOWeKumuvgdo/Xum1zTakVFCW7vMVTxv6YUO4hNXRfhM1vvy8Nnu3kXKB83Dfip8dmcjP7YNn7eFTezcfGbjEvPPGqg8b9t3eHareNCNj/OJB934VNvBoHtya6Nk4IwNTGeXtaKvyzsrq8IH4wepKt+XB01QVoXt6bM0Pq7NqiDRYak0nUmrgvTjQqFC6AzetxWtF6kSCAxRuzKL6YW+ifQ46nyPFQygz6b3DA+dgQdqC51FJCsEFg/YGLkoguDIKg/1dnJKH/pwwkAFwkfL1o6MEtrWtUyFbmQBQamBgCHrZF0vItxOwhnGUHLLWN2yqYkOKuKB7HFKZT85pc//npLrUOurLh2ekvvt4na+ABSUXL425wgxGTxDCErWzIZdNrg/VAbPeDiTI63AkeYtXFDT8Qwku9VX7fts88DEv0vrWeDghdCfoVIZAUxuVzhemOVrm3s0vVQRRnC5WNpiicKISaqFtCtEwYjh94lbROZd7g/7QT1/rvdUH7bt89L0pA+dF3CA1y0/b3bZDvr77lLvqwLK+zr4PuvvlzejM0tb09tFcTNafNxPPOjGp9qOGnTX17K2nJ2akaGGJoTOXhpYQHv6TbbycWXorOhSvQTimjrl2vDkWjLgUucLtYTjw1a2WejDhyG9/9LAApUe/2hif/pkai/6am6XhHLiYZK0Igi8yHkRhBymhJIbZcg1qoYWRq4iYbCh6ovZ3ejT4kx1KXktO49eGligVcne37lcK+zACx4XEr6uxUs+KrqKP6NBdeaqi4hkGJuUXDTRQUWEXUGp7P8bSq5FTdQ80gzphiDgV3O7KCUXlw5ULJuGLVhH+IWDV/u6KrnSH4oLId94hBVCyBYuvj7/ZlF7xW5VGDFm5bHVzaaEEfM86thsaIGoZ5vbQ38evo23zeF7wFnRK1ovUtsMW/hMsnKrIny2PG2xdrF4pNts7e89aC+fTO1lDp/9qXYyfOb9FqnP+4u5odXi8vfHR7PghAVUvyPoh98d77N+89qu8aAbH+cTD7rxqbajrAt3/oOv5QwD07GCAcqq8OrgfHqx/0R6ptc0bWiSfFybVQGDE/y4UawKPLXPfYbcj4vUOFaCqIy9t0OiXQh4JIRqMEQdzR9Mxwuz6FRJd/q6vDOdXdYqPHTmrWS10BnzHkYmKxjwYWGMXK20g5UPIOiE9fhzvacqED7azla0XkQ3XZnEvKHWlKuHkoDhiniTqX6+JsdwxS8hPNn/ZMZMzQ/KVURfrWwllVz5TKQv1Keuy2cC2sWj9RRj+sfVDenczS2UkvvJ1F50NH8wHcoZQa8OztcCUFu6zKX1Vy3wIcTAlc7zhi0oubJe2YVXzINnXFWUA5dEWj2dOZ32ZRXSq4PzVQuXLwiFumtR7fvTgR6KH60l/kMuGSkXQmzxVyqfKumuApiSUbytaxlt9L4HIIzgUo7fK3iho7JyTXxiiRFDIHZ12wQ6D5c7fOZQz03YNrVZ8kgv1gIOhhFLpd5XWaWALmTINo7Kw2f96the8aAbH+cTD7rxqbaDQfejW+sm0WHe6vuTqb0Ujuqt4aNVShnr74e9INM670V9R6uEKoLQGTxusgSCY6nk8GTCh5nqfAfUKbP6ccFgvSUtqVBtFkMU8GFvjxqpPJ+fTe+ZUE28YM2PqxsmlCooJ55aaC2C8AIfUYdcTUmRTFYg3yQjd2OyfIDXL39c1JuO5g9WqfL9A67V2s42C9TbElbYgbATVw9dlFyb2s6HK9lGVyEYxhs6zqeHWLKf+0GlXUGp7H8nJRfPxarkSjWRo6y8lD887QhASSWXXzpQzAGcGzYg+N7wZyGVXNfmOSjqufUqtIAmLhvA7KH2mhdCvDlsjGrhMq7PmbLoY7dyjFjIhoP71G2pf4URg7roBWcRiOIXjI+Leit8G8gWvG3uHlGpDMKILXxmY+W2qT/aerkIC5/d2yHx2wQ+NA+fHc0frKnnmkXEFPbzmhe5dUqWQoRmAiTNghMWYJXyUJPIAuCz/vcRWfGgGx/nEw+68am2ozi6SxNtTRiYPi3OVOiwN4eN0ZRcKCJQchHiAHdyjpdWlkouhlzuLwwbniR/VSq5eHHzVfgST6Fa6Sm5QfiwI3nZgYzci/clgfeqCOKNPn8fT66okDV6cj1sEsI23JMr1+Mv9p9Iz/eZoi4lmxiblftAZzbxF3ZE5eQGBZ5gKZGMViT7N3ScT1tYG93erEn0yjXjFU4JDVAYclUZwcaaOsKKBZ+kRzFK5XxTcgAAIABJREFUQYeVXSyJF1C4RAMdfO2nZmT4AlB8bS6ZrRLnliu+Ny7WkTBVkbeewTZyR6ukd91WCHG8MIs+m97TV62shlwPa3XxpS5+NT0k8W/zRPsGL0Mb18/bvO/Dmgaq/e/r8s6+0N/+AdfSrsxieqy7rqJzsgU2GqbwmQtGLJXwmeQTv9h/ovrMZdOcFj5Dve++DtZ6X9fw2fkLG3x/17XiE+4/R7sfC/rhMveXwdfEg258nE886Man2g4G3ffmXGlFh2FgejozWRHL19+20BmvysTaVWKpXBVCDE9I7eewFifpxwU+bJ3newvCh31c1DuhUnHPJ/y4eKFAqfKwPUotFBB2vMjDyArGYQqVvpwLypP8UA0FI/f0go7KQ42gE9bjuzKLaUdGia/t7MYr/W1n+SwgKDmhUZTcPnVKfXxWKLlzhJKL4Qopc24nQbIfitbpig507tbmSslVA5Yo6agKJVcLP325QKuX1da47JlATZQoKxmAkvYR3r7Fizl4CBCqetCzsA1bJm80GrhkADCoEOJUSfcEYu/GluYWLoa1ksqiK0bMJfinaCM7GyU3G2vrq0DUl2Vd6dPiTJ9V5LneUxWjeJ2HPcTvFq9UzmUXPVdWbvt641RAFuEzaROxhc9wsXih7xRf+OxUSXe9BAXqObOIBIX9Ijef8SplC83ip3W1E1apG9IUhQfZjV1ZI+JBNz7OJx5041NtB4PuO8Xtjeiw/QOuped6T6WneiY9hXxoQuisPCR0Bj8uV6SirMGhkAxlLU6yzvemK5Mq4XrPawjoOhQqgO4xRKFRS1MKwcgV+DCwKW1FEGGM3Crx5HoonzNLW/s8uVCv+HocXsR72KUEChavkuUFBK50BclnlYEnvibniDeu5G71kv3cDwol9+Oi3nSqpLseCoSSK+uWq1vJ3dlIfyZMTeTlHKCT8CAg7CPy0sGVXJ70j1rtK2tmx1gUdR4AlJeN14fk0jujh+stXL9tQ+dXNE2wcoVl5OL+jkl2q1AWbetzp0uGCSO2q5kKYkp1Ee1/uGDgu/Bkxkx14burXYLtzYs4bJXK3FplG3IrEz57rHup5kc3hc/Or2hKF9bWD7aIGOp9bb5c46XCVKXMi0+2JC90nAl9YlI/tfV7oteYeNCNj/OJB934VNvBoPuf+d01dJip5Wyzh6Na3TaRDrdZFbivMGoJhKnOV1oVoEzZ/Lgbmd8TbVq8zpfjw878tk2CAYrk+Bb2Auf4MFSXQqkSykkUq4Kt0veHw8OTnrjn0xJKimTkeqohGLnHC7Po8NihqkaWI6u2eHzQsLYzrrpHDQhy3zRHV0HJgtq+8Aod8cbtJLt7F2ltW2C08mS/zw8qVURZ0vH3VnJZAx28ighv8kFLIt02CiW34gp/xXIUnJtJyZXDVkEDvzdalnI8mTFTQ1rJQghcBLUgFAv/mVq4MOS6KLlGnyjHiIkV+sVNidS/tIp8OGGgIo1wu4L0Q3OyBbzpvFK5MuEzXoYSFj7DxeKNoWPVlikwfIbPvBL1vpE80KJK+dytzel0RQf6YnY3Ol6YRUfystVlblv38fGgGx/nEw+68am2g0H3P3J6W9FhD3gYnns7XKfS4abQGYZck8czbMi1hc54oAn81TCyAlcJ92ZNopcHTaC3ho824sPUELWuts7I9VQq9UIJwYeFqVWa95CtCnmlL2pMeZL/5y168QBUw0+LM9WLBkHBPf0m0zO9pilklVyPL2SXksKGSQVLFhCkSlfgnkSe6jc1nm0VjFYk+6Hkfl6arim5WigQfmlWt2wr6YgcCHRRch8y+0Ix5HIlF+UcXMldZbCPmCqWU/Hk8oshbz2T3mhYe2Qph60QQrVwbWSIvd0t1ZBrUtMjF0Lg8ucNuRpGjF8ytvrRVsCIHR47lN4aPlq1/+GCwVV0XPhgs5KVylJBl+EzE74t1fDZ3qxJGtUiMHzGP3MHi4hzKYSBl6s80KxK2WYPARN6S9eJ8aAbH+cTD7rxqbaDQfcv12Qb0WG85Qyr1iWsWIArUSPqLgi0KkTl4/LVq8mqwFP7665aQFs9DuWTGTNVsAMv7qP5gxPhDs9rCHyYwiM96Ckm3I+LFzhPj6cQOvORFRj4HrgkNUztbpkM2dzHyAqMkcuLO3AxeaHvFNrZYwZtT5+lygdwKVnaYonig9razqJWL9sIGPBNlzZJPKelLZIv+XuYkrsjo0Q9Iyi5xwoGqOFKY7Ryb+Kfm/r80pVRcpXCziH5JiVXJPy5kosX/wfjB/lqlrmSC/sIV3KnNkpYfWQIMOzCYWIWcyWXD1sInklvtKna990xwzSkFQohLqytr1tGgNhjdp6gQoggjJit9SwVjBguGNKucI/wQwMjZirikL9ZNrsCH3JxueA2EdRag2pxj0e1eLjbbNqVWUx7+k2mA9njtIvF56XpGrrt4oZaeuAyJOzHf49Saj77j65JD7SBsMCDfqBZvNA3kd/4505T4kE3Ps4nHnTjU20Hg+6urBGKtyrRYavbJjxt6IDnSf0JjqEzGzrMFDrjVbEInfE1OJq0VrTW/bjb02fRzh4z6LneU1WbFlRCX50vFKoNtZKge87I9ZTC80fHGPFhrmohAh8aWQHDFDiVvAhiZ6PEatYLfvywqjGdu7U5fbOoPX01t4sWcgIAHy+aR7rNVmGbuwSyig9VuexSAi+i65ArW+m4epgnLiOLvXWtrfEMbVuc0aqUXFScciXXG3L5gFVZJVfzStuUXKCVuJK7oqkqVOF2BTwTXrPMUVYc6YYAFOwjqSi5pmGLK7k86X+b8EY/IgYuUyEEWNIXN9RKXAYtLVwmj6hLIUQQKzcKRgxBzJcHTaA9/SbTzh4z6BGPNIJilJssfuiwIg4TYYGTYFzCZ5xq8WTGTBU+Q6W1IotUInxmu1hELuBArbjBA82rlKU9ZG2HafGgGx/nEw+68am2g0F3e49xKnC2lQXOeMtZBfN3IqnPiwWiWBVkCYSrVYGjw2x+XDSdvTN6uFIJjXW+wFOhJ35fBxXwwFpQDVGVCZ1JsgIPnXF82BMNffiws8taJVazJd3VC/1Qzgg6kD1O0TCezJipLib3drhOq5FF2KbI0LBlY+S6slm5esiV3HmekgtPIiwlD3tqO4KB8CUifIM1uTZcbU0quQDjcyVX+qWDVESTkqsU9koqudwXypFuXMm9iRWpcCVXoqzClFwZAuT+aP4s4GGXzXMIngVW+5pUxccb+MJ/6jsiCiGCWLnOQxdHuG1NWni4T/TEpH50NH8wvTV8tHbBkHaFW9KS1h2pooNsYapUDmLlmtrmcLmATQR2HUm14HziE5P6aYxoH0bs2eZ2jJhjva+v+SykgOPifZ4HWhAWjhdmqRwHb/fb2mUurWgzMx504+N84kE3PtV2MOg+0O1aeqTb7EB0GFRB+DslzL4yQ670eSJ0VsRe2FiDA24PhRAvbfhx3xg6Vq1g0eSk/J4cH/aQtxLc1UwNUWotKF/gBnxYEPDepxbCj2srgniiocIlqReM13b2xexuqoL57VEjFSN3d+8ipRpu6TJXMY15jSxIGNxeEsTIdVFyEbrh6iGU3HlCycWQG9R4hmf07eJ2upK71WAnqUoll3kUK6PkwkKCIVcquVATbUouAlCmtXmYkmsatvizWNI8oeTypD94xS/01csJ+MClBQBdWs8cCiEkRsxXN8sT/8CI4XvhrdClT/SD8YOMjXP3dy6ndVctoFVt9IrrmU2Sn70kW0Rl5fapU6rqx1Fag60TLnrcC43w2Yv9J6pLnuQTu4TPFPElpN5XXuy08Jl34UY2QG2UhHIuCQtH8wdbq5RvblUSD7rxcT7xoBufajsYdP+5Y1Fo4IyrgnhJ8KR+FKtCt7pTQq0KqIpFmMmEDoNCCK+nrenMWOcLyH1QCUQlQmdcLeSDFLxwKnT2eIOkYuWVDmCY4si3gyNz6JVrxitGrsSHQbmCvYTXL5suJakMVfxZIdHPLyPLWiym5SxdvoX5pl/omywh4Oiqr8s7J5VcbifBcIVLCF70ItnvquRy6oXJK+2k5LIhSyb8UabyMFuZ85rlOQb7SKplEDIAJf3R/Fnc5Sm5Mulvqvb9dnG7BIVkdcPEd+UhfeNhxbiFDFz/88t2c90sD2RKuwIuGayM49vF7eiruV18PtE9/SbTrsxiesS79Em7QlghBFT0MFYutyvItjnT5cLkhdaoFoxPjEu4tOr4MGLiYmFTciM1n/HyE6Gcf16aroKvoLugSvnhbrMVzWJxi1nxoBsf5xMPuvGptoNB965209XLwYYOmyBCZ644qiCPZ1DojBcMmEogbH7coKazn7eyOt/dLbU6X82Py4aoKPgwY3Us/LggKwCVxFBVXLFSuKSS7lp5x4HsccpHDWQS1rN4qUO5Km2SDNvw8gGJrDK1nZnsCmilk8+K+0BhK1nVZiGtu2oBbe40T3GMga5C4Alr8i9md0si3vgz4krugR5aypyvbV2V3MBn46rkMlYrVrhcycWL36bkQk2UKCsouXJtbnseNiWXD1uLxbOAhx1J/8Bq35VNEs9hS7IQwnfZwPfEG3IrhREz1c1GxIg902sa7cgooa0eUg+XdbT/uWDEgli5EiOGACbCZ6ZK5XvaX6cuevBCc6rFJ1N70dflnXU+ccTwma1pLoxoobBtuHAjfOZVi3Pl/JOpveho/mDF6TZdKla1WUjzrpgdD7rxcT7xoBufajsYdG9tVRIaOOMoKq4KRrEqdK87VfN4pmpVCEKH+ZrO1jRI+HEfFCrhf3SlHw8O9K/CmR/XNb1vDJ2Z6nx5sxNCZ+uToTMoVp9M7aXW4m8NH62Qb7y4g+PDboqADwtj5NrW46aWLdQuwwd6FyNgbE+fpV7wLw0sUM/peGGWXkLA0VUIPIk1uekSElZEIJVcTWUXL/zKKLk84W9Tck1qIi8lcLkkSiU3WzCLOemCM1vxLCRCzIdyg21E+kP3tkuwpLHxcCwnCHwGWJ8ztN7Fl7ok1uewK9yX8KrDLsIb51BzzX2iD1w9R2s9W9oiecGoTCGEjZWbU/c6X9scLDu4XMAmAgXd54UG1QJFKClgxFIhWviaz/B5e8g8m3LO7SGbWaX4TVcuppKmZfGgGx/nEw+68am2g0F3actZiu3JFUHu7RxaR6+H5f5OF+aqVAbDQme3sNDZBhY625VZTC/0nUKvXDOe3hg6lg6PHUofThioFEKt6Wxt/WTTmUudrxhyU8KHYcjFS+XQNTpZwavU1IogvIDTV3O70GfTe9KxggH0Xu4QjaywK7NYVTCvv2qBr9IXL3UoVzwoKEkYQUMuhiq+poUXMVe0bPFEP3ygXD3EkIt1LdBVMvCkEG9suNKCgcJOEsZodVVyteBTCkouX+HKhD8ftKSaiG2IKQDlquTytTlv3+L+aDBbd/aYQXv6TaaXB01QSX9jte8f6yRaz0QhhGJJMwIJtyu4tJ5pSq6J3SqGrqgYsU2d5qlylGUtEhupmU30WuWhAZ89H3J5+MxkFbExile0ToT+NneaR9u6ltFTPafT830Sv1U2L/SPdzZKXvIereeziVRJ+Aw+aG97oUKwvPlMft4zMuhYwQDtUsdrrNd7dBdcKqY2jgfd+LifeNCNT7UdDLrlzWaHBs6gglTGqsBf0i5WhXs7XBdqVQA6DAphYNOZpxKqFWxICUTKoTNvHfvjwYH+Ot9ttZIrWYTOKjrQl2VdlYJyKGeExmN9MmMmPcKQb1jN2vBhXLmS2KQo1cuy0pcrWBWCZcx9oCBgHMgeR28NH02Hxw7VfdOoNuVqO9BVNiXXoLSnrOTKquVnm6es5CKMg4sHEv4mX6hEurl6crvVnaKsPhJlNdOg5OJ7E4QQO1XSXSX9VSkHs43wy4bGkhZDriurGM9AI4+Y2K0bk1irs8ta0ekFHbXE/5vDxqgwpmvrWSqFECZ8G7crTDYwikGCAWGEXy64gg4vtLrk8WBsJTFiuHhLH7SGMzQUcPywqrHv8zZVKZvsIeWXL6GCS2PrQnzcTzzoxqfaDgbdGZeVUWmTJDosz4AOcy0VkP5OOTRxZRAvalvoDD5PlEDsyyqk17Lz6ODIHDqaP5iOF2bRqZLuCa+b58dVTWf3iaazFOp8U8KHHZ+oyAoK24NByrEI4vUhufTSwIJAsgIansosSX4wjaOQMGRpB39eBZ4XcdZlessW2KxI9MMHihc8gje8hEBTcqG2CyVXBgNNdpLISi5X2XnjViWVXKxwZcKfq+upKrlBAajixv61OUgX8Edz6wguHIHVvl5IE9Yekz8UzyESq1iq6fh+cHYrG7rO3dzChxGTnGJb69msyxIXPx6edcWISVYuv2Dw0J8Mn61um2z9k5XKJgVd80J7lqpUw2emsF+oD3pno0T4bGNNI7btSF62j7DwiIfMg2Xq+pbJS0Vu/XjQjY/7iQfd+FTbwaBb2KiMChsmw0umwFkQVcHVqpDDgjNVZVXwocMAt+dWBVSVHh6exCKJEogoflztZSJDZ/81RHkOL+5tl1CTWZ3vhbX16fztl9N3N6TR3+Z3os9L09WL/ODIHHotO08pKGFkBRs+TKqGLvgwiXrDi51X+mKoQtvZ3exZPdY9keiHDxTqIQYrIJR8iLedjfQSAomuEqn+ICXXRr7w8Yuh5KJxqwqUXAxZUsmVvlBXJZeriVzJlSirJc0Tz+POtskA1MPdZocixM4ua0U/rGpMF/5Qz5/0B2pP2EZcg2eBLVwIQiGUieCZYLcCa3VySh9V7YsWQFwybK1nRSyIKQshZAjTNuRKq4i0K5QzsoVkFO/uXaQII++OGZb8DnBWLhR0xsrlgT/5999mpeIbJtvfe5sPWv2dFwUcoLzg8+ZVymst9pARdUvjQTc+zicedONTbQeD7rgGsym//kINHcZVXO7tdFUFoULxith87yUNZTBK6MxWAgF/oQp08JKBve20pjPV4uTV+Ub149qGXLUaPDw8oZrAcwil6sGa6qVyfkVTrQji5JQ+WhEER1WBrADvJ1cMq6rS12QvkUOVRL0BhA8FC89qX1YhvXLNeIV5g63k6/LOydpl7pvm6CoeeGKVy3K4iqTkMj+oUckF9cLCyY2i5GLIrUoll5NJZBBQXjruaa8Xc6B9S1pHOLNVfWf+VDuJ25PNc7D2OAQAIxVC8GfwoOdXv7ORYrd+WdaVTk7pQx+MH+SMEbO1nkXBiOE3DJd0Eyu3XJAt1ovwGS/i4JXK2uduYOVWSfjM5EWX4bM/1baG/cDr5p83aCKcTcyReQUNFlF27bgwIj7uJx5041NtB4Pu8DolauUdNXDGFShTyxm3KgBHBQRSEB/X1aqgsFRbmFXB1nQGv5tjCUTk0NnrmXqd759qJ/y4rM6Xh84Qrnlz2Bh6dXC+erEgdGYiK0AxrCw+TD4zDFSmIggZdIIXcVvXMtqRUaKeFVjGH04YqKpkNQLG2voJSwn3TfM62QAl1/Z8rEouA+Nrfmnwiz2V3dZ4FlXJLWvqpuS6PBNT8IxfOriSC5TV/Z3LlZKLAJQJIcaZrepZ/Lkp/fx8WsrDVqClJ6iFC0Go9Ykg1LmbW9DpBR191b6vXDOe9mZNop09ZtD29Fm+xH9Y65lrtS8vhMD3Af50aVfgfmhJtnh9SC4dyhlBxwoGJAkj8KXjczewcmETMQX+wjBipg2TVT3flLBPAdv21dwuqoDjndHDVQHHUz2na5+36VIBe0hW7enxoBsf5xMPuvGptoNBd3DtmXRNnfKU0GG21TcPnRUwmH2596KIyscNKoFQSXGswXnoDB5Djg/7fnVKdb5B+DAtvf9Uk8QAsSWxjv3xzkZ07uYWSjlB2OPw2KHGIghewxxEVhgjVCv+3KL4PzkjlyOrMFSBD7qyzUJa61WaPnD1HAXCf7H/RFVAgNDNqZLuylaiqYfghHrhQK2sg3sSHYYrZyUXTXScX8xVdlbSkaqSiyE3SMmNwi2GR9qEdKsQSi4CUDsySlTFMtbmaN/CsKVZfDizdX9Hf/NcBMpF5EIIGf7zvh/wqx8rGKDYrXuzJtEzvabR9vRZtLXLXCtGzNZ6lipGbGideZo/vYxdMFa0XuTzQ4NRDHwbijiMlcqMlYvPvTLhM6We8w2TKXz2YPI36bsb0uh0RQdfvS/CfhLbxtnE0xsv0YKWfWpPiwfd+DifeNCNT7UdDLp9ak9zXnmHWRXAmeRWBay+EWK6rdWiqrEqGNBhF1/qojU48TU4f3lEsSr4FCqvsvT8kVEJPBJCNSy9f3FDLaWafHdDmqrzlaGzlwdN0Kpjt3gv8ru8FHkQWSEVfFgYI5cXQUC9wooWL3asxzFUodIUz+qruV3om0XtVThQ84E+1SShHnLfNEe8/T2UXN5Ex5RcrrJXVsktaOAnXlRWyYVHmn+HeCnB3Z6SK1FWUHIDEWJQ1dmzUPXXbNhytStYBy5eyLG/Y7KFa6u/hYsHz8KqfZenubeeda430cmuwAsh0P4HqxXfavDPnvuhJdniq7ld9NY/EyuXf+64XBhyA1EtItpnzjFi683YtsNjh6oQrKmAA9XipirlQXXmUkbtSfGgGx/nEw+68am2g0G3R+3J6qWcypArW85yDCGmCs/fiYpYKFFhoTOoIr7QGS+B8Py4MnRmKhlIqekMqXEXfNiDNROrwbX1Ey8UTzXBOvZYwQB6Z/RwenPYGBX2wEp2S5e5tN5TT+4w1DBLsoJU4F2LB6RqKLFJM5nyzv3TmzvNo4eunqNS5fsHXEuvZecpED4KO75d3C5ZQIBEPydgeEquzzctSghSUnI9O4lGvjAouT+ubqip7J8WZ6qSDlPjWZiSy0tVqkLJhS8UjOkygXS7W9hHUIWNSwcqln04N4QA4Y8Wz0Kr9hVJfxfvunMhBGsD5OE/rM+5sijZrRi6oraemTBiPHzGg5j4PkxtlMgTwJ++0vsubGCfvfRDA99mLeKwVSrjohdwGbeGz8DKZS2Mxs/cED6z1fuCsIALd8UVic+7iFWL41J3de2CeNCNj/OJB934VNvBoNu19sRIQy4CTCYlN0esvhFigpJ7Z9tEc1BY01lUJfenV9OTLw6BpqoSJTcIH4ZV7LZaigPKGblfzO6mGLmHxw6lN4aOVUUQT2dOp0e6zaat3pC7tl2FSpHzGmZT21llPblQrnIENgnqlVyPb+tapugK8E+/PWqkUrBUYQdXDyVdIYSTG1RtamO0mpL9yg/KVUTglFY3VHYF1C1zvzQQVk9n6mg3GQg0Bc9kC53tmQT5QqEmFni+dpQSLG2xREO6be0yl3ZklNCuzGItAKW1b8liDgy5hva5qKq6y2XDVwjBglA/rGxCZ5a2NrJbXx40QWGtuJq+ovUipaYjkAkbD//8TXSLIIwYfsckp7jU22zg92ttO/2zf6bXNHXhw++Whm8zFXGYKpUNlh3nel/JiI4QPuMWEVu9740GHzSyAbjUdao9Lh504+N84kE3PtV2MOh2qj3OGR3Gq3yx5rO1nM1j6z6Oo3rg6jkqdAYlCkOTc+iMhZm4H1f53MQLOyh0BpVE+nE1v6cBH/bzX1r78GF8iPrb/E702fSedGJSP3ovdwi9PWokvT4kVylVOzJK6GFWBIGV7NIWCexaGFnBpdLXlZEL5WoeKx8Asoqvx3f3LlJ80HfHDNNQb6qwA89qq85mlQQM6Zt2GaxslbKKFyqV3F3N9GQ/U3K/mN1NKblQ2U1KLke7hSHEqkLJlb5QXkrA1USgrKSS+8nUXonvjlexrCm53tociuKPh65JquoWJde52jdCIQQPQn02vafPMvJ8nyTWaoNgtwIjhkAmbDz4/E3bDT7ghmHE8ph9B+1/d3h5AlzQH01PXPjkZ8/JFj+sbKLbdkxFHGLIjRw+szTNhYXPPpve0xc+ezpzujHsVyEsOsgG8EtF+zpj40E3Ps4nHnTjU20Hg277OmOdrQo8wMR5q2jOKrrUjw5DiAk4KhQLgDcZ1HRmDZ1hBS5KILThyVAyEIms4CklmtcQ0HULPuz75c3o7LJWSik8XpilMXLh+9zZYwZt61pG93cu14oglrVIvsi5J9fGNnYlYtg8uVAN8czgyV0pPLl8PY5U+YcTBmqq+7mbWygQPlewqoKuEMQL9TFaecVpgJKLIVcqudwvbUK7BSHEpJJr+k6ZlFyuruOZYMg1KbmPdS/VlNxDOSPoaP5gPQAl27fY2tynKDom/QMVdREAVKoividbkoUQsPScmpFBJyb187Fyoabf37mc7mbK4uLmie8GEv8cI2ZT0lPFiM1pqjfOrWPtf8DpIYSpqehLWydRegZ8W1ARhy0g6+SF5lSLgPDZqRkZ1qY5hM94ve8czzo1+VKzD/rqepOobZ1R8aAbH+cTD7rxqbaDQbdtnVGhg5JkrXKrAm85m9NUbzmDVWEzG5hQLMCtClCiIlsVZAkEsypU1o8rVULF/9zdMjFAcXzYyiZ07tbm9M2i9vTV3C70ydReyvP51vDR9PKgCbSn32R6ptc0ejS9VFWX3tP+OlrRepFWBDGT+eA4WcFExAhT4NFOx5FvQYzc5WmLNRLGIwJZBf90YNsZK+xQ3mmZ6I+oHnJLiQ/x5j0jBAO14WqrruTKJjqsyrmKKJVciXYLQohVpZILBB9fmfNSAiDdgLKCkvvt4nZ0/vbLkwGoB2v6ijk0Jdfgj45kVzDVKyMAyFRFXgjBg1Dv5Q5RQSiE//gzWNF6kaYsoiSFo/WitJ6Z7CK8cU62nt3ZdqF2wQBGDFsoZAmMKjoP/YXg22yhv0h8YmwxQsJn/DM3hc94vS+3TnGiBb9UpNUdHg+68XE+8aAbn2o7GHRb1xkRaFXg6DBe5ctT+vB2LrxCR4fd2yG5+n4yY6aGo3pz2JjwprNNltCZpQSCD09B+DAnPy5CTVAJHfBhX5Z1pc+m96RjBQM0pfCFvlNoV2aq+6sHAAAgAElEQVQx7cgooQc8zyGUqpuuXKxeKqVNlvgYuRwf5sI25gq8fG5cfUfIaUGz5EDFLybAJr3QN4ms4utxpMrP3dpcqe4/b/GGXIDwK0lXsAaebG1bCAY+3iCZ7F/dkL5f3oy+XdxOeRNhV4AflCu593cu18oIotT6RlFyecKfK7mzLtOfCa9Z5uUcUBO5kvvt4na6fQSXDq99C0NuZZTcwHICPnBBVdzqL4RAWQpauHARRNUs90Xj+wFlUVp5XFm5UTBioFvwxrlHus2mXZnFtKffZFVxDZweQpjqs+d+aBH6CyMspBQ+A94QfnTH8NmefpN94TNZ74u/8zniYscLOOJBNz5RTjzoxqfaDgbdtLrDAxuzeOBMUhX4sLSsxWINv7Op0zytOWtPv8n00sACNTAdzR9ceauCKIGolFVB+HEVPow3naFNS9T5Ah+GNqdDOSOUHxeeT4TOOD7MFjrLYeEmF3yYSTHkw5Rk5EJ9l4zc9d56dnv6LPVSR40sR1YFtp0921zzImprWsZmdVVy1WCF58SDgaZnBCUXK9sbW2pK7tH8wfTO6OF0IHucej5QcjcylZ2XEVS2DMLELjYpuTLhz+tl4QuVSi6Qbj6U1YM1E0OPFwLk1pEqUXIFT9pUr3zxvuTG47sbW6pCiOOFWXQkL9tnGUHVrCRc2Aoh+Po86pBrwohhI4XfsXWi9QwXDNQqoxjlm0Xt1W+XUUX3MGKSlRv2e2WlWgTxiZlV5/vlzbSmuaP5g+mt4aONn7mt3peHYJEPkNi2K+sOiQfd+DifeNCNT7UdPuhCheIvZBM6zFTli0Q4vJ02dNjLgyaoENMH4wclOuDZ0KSFzrYGh87U4MRW4FGGXJtCyP24isHKVULvJXJhTQP6YWUTVecLtQRD1GvZefTSwALa3btI83xu6Dif7mLpcbQMAcAOtTAKI9d2QeG4JBPyDRWyPOS0hXmooVwBm3S8MIs+Lc7UVrQ/rm6YGHJ59TI8oN6Qq73cQ/BJLpcRLfAkhyuu5N7ZSCm5sJMcKxhAh3JGaPgqvOylkrvEUNJRnUouhlw8E6nkSjXRiLISlw6NSOJ5Q8NIF9bWM2/I9VX77m5pRLlJVZG3nvEWLlkIIdmt8KtLjFjYkBsVI7a2XQVt7jTPyClGrfKpGRkJq9UNaQqnp0KY3mfvs4o42nYCLxfcrvNqegIj9lSTZKV1QPjsQPY4I5+Y23SkRYT7oDnRAp93i7qD40E3Ps4nHnTjU22HWxdsgTPUwsLDZqryxbC0NqTl7O1RI+m93CGq5ezLsq7qBf3Dqsa6VeGJhkaPp8+qINBhlbIqSD8utyr8qbbu97y1OZ1Z2pq+mtuFTs3IoI8m9qcjedn01vDRdCB7HO3NmkTP9Z5Kj3UvpW1dy5RSiGATOKCzLku8UKBUmUJnYQ11ptCZRL5NEO10CAre2VZn5AIftjdrkgLgH80fTCcm9aPPS9MT5QNBbWdsPY6hSim5ISD8QCUXHGNZ1oGXvIdR4nYSrMn5JeRQzgil5MJKwp/P/5+U3E3eM+FKLveF8nIOpSbi0oHvD0OIaSFAB5RVoCeXBc80lJv0h65qnKj2FYUQbw0fTa8OzvcFz4C0ilIIEdZ6Bn40vOrYcMjgn2yc461n0q7Aa5VVCBPWHQO+zRfADLnsye+AZtdhVAtFf9nZSOMTB2HE9mZNsmLEZNiPY9ukDxqfd6v6o+JBNz6RTjzoxqfaDg+jmVrO+Mo7V3A9eZXvitYJP+6GjvPp/s7ltD19lg8dhoHpeGEWnZqRkWzPwkvij3WSzUF8/W0LnbGksly72vBheGFrgQ6TQoiX9vNpiRcIEuPrayuV0IYPA6oHAY+Hrp5Dmz0/LkIeS1skXqp4oRQ00IsgTGphqpW+0kfNkW9cfQeualdmMe3LKlRVpriYnJqRQacXdNTLBzaKSwmvXvY8oKZK08hKrvRNOzaeIRiIog5uJwHejSu53C8tldygZ+PKyY2q5MqEP6+XhZKrlRJwNdGEshItgVFaz3ztgCzpb6r2Vf5Qr3mO20ZMrWcoS+EtXNIjaluf47thG3JtGLH8AIzYRg+DiHKUlwYW0BtDx9J7uUN8ZRzIEyiM2J+bJgKzps/ewSpiDJ9JL7RE6HmXvAt/qFep8Nk8drHAxZtvlkwWkVb1R8XWhfhEOvGgG59qOxwvxl/GSOdDdQJVwVYAAQwVhqVnek2jPf0mG1vO8HJW/s41DcKtCkfHWK0KUHGrwqpw4Y0+utfziYbJVeDa+gqL9M2i9urFDf4nr/MNKoFIJXQWRlbgFxS8yIEP48g3+KjRTndvh+uU+g7cG/BhUA1VEQTHh/G2M+6ftrSdRVFyreohrzYF4g3rWv6SZ8/oVEl3tSbnw9WuzGJ6rHspbe0yVwVwTEquCe3291RyV7RepJRcPmTJhD+QbqhZ1pRcSxmEeh7Myx7UPmdV1Q0IMQ3lJqp9uT/0g/GD6ODIHDqQPc5XTiCDZ/MuTyKt4BGVQaiw1jMepkUgExd3bDj4JUNyioHU2z/gWmXfwaUvsBDCu6D7Qn8OAcygy4XRCw2qxX061eJ0RQdVwmHCiPGmOY4RM9X78iFXXipa1R9FbeqPjgfd+EQ68aAbn2o7vDCCs3H5oFTAGrNMVb73dkiuvdHStC+rMLzljPs7t1hCZ3hRGEJnYSUQJnXQWgLhVWZqCiFrOsMLBCvYL8u6Gut89/SbTE/1TCpU3I+LtSDHh2E1KIsgwpRc1yIIeA9LmWK1nIVsQFbg6jtnsn5c1JtOlXSn0xUdkgD8tfUTL3XedgZGrqHtjCu5kYJnUj30npOm5HplHRfv05Vc/ow+nDBQFXXsyyrU7CQoIjApuRMbLvpfV3KBsZJKrq9eVii5XE3EJdEVZeXMbEXSH5uPkGpfXAilbQSq4uq2FWrbEVYIEYYRM100OHUkr/5C9ZsWhBHblVmstZ59OGGgQuoB4aaVcQAj5lmtzh8ZZcSI2S4Yxks5tk4yfCa90IJq8WVZV80mwsNnsmnOFj7DxYJnBKSSi0E3pi7EJ8qJB934VNvBoJteu9DHxuU1vrIAYpWlAAIYKiiCMnCmtZxBFdxmsCp4LwmFo/p7WRV4Vaz048qmM6+q9NSMDDo5pY9SCQ9kj3MugUDoDEPU3yN0BpsJD51VMOQbhqmtXeYqssILfZMhm3dGD1dMVmUvubU5/bCqsb8IgredSUYuW9EGDVVOSi7HVgnE28X7kutaBAOBruKBJ6zJoeRiuJJ1y7KkY1Cduf8rSi6vluXqulRyf1pfW1dy93Xw2UdMCLHISq6J2YpiAlHKwQOA/LIBf+gzvabR9vRZikBiCp6BI53Dwn/8GdiUXFPrma3at/zy5IbjLkG3MDXOcbtCKoUQQaE/KyvahBHjXuitwgvtUS0+Luqtodte6DslFCM2+VLdpoPtEr90m4bctvVz48KI+EQ68aAbn2o7GHR71J7sY+NOvlQflCRVAVW+29NnqUKBlwYW0GvZee7osIdqJf2dLKlvCp19d25VJI+nNuSy0BkSy9rwJPy4UAhNTWdQSfDixjoQLxGkxm1+XBs+TK5jXQYpWxGEHKaWtVismrXWe7ik7emzFFkByDfQMDiTVVMNtzAA/u6WCeXKoe3MFhB09oFyTihql/GcUNbBAk9Yk+MZcSUXRR140UNpn8MuIUF+aZcGwahK7l0WJRdDrmoMhJJ7Q1ri4oFn4tXLqiKVgFICbvUJs/kEDltgtoZU+x4rGECHxw6l14fk0v4B19IzvabRkxkz6YGr59BGb+NxR6ukqljapPKFELKQQxZCFDdeTOXMqx6EEcN2g7eeaXYRjnDj7X8CI8a3GqbWM942Z6pUxtbp4ktd/Aq6wQvNLxfSJuIaPjNdLExDbvt64+IK4PhEOvGgG59qOxh0s2pP9xUJSBUXIQ0TVQEFEAdH5mgYKh44Uy1nCJx5pQJKFXyjj5bUP/vF3EhWBf6y8FkVDD5PHzoMqhT8uN7wFNR0tjdrkqYSbuw4n9a2q1CYHunHlaB719CZjazAQ2dQ4SeL8g6kyOE9fEgMUweyxylGrsSH+ZL8j9bTSjtwKbG1nUWt9NXwSfCBSmzVzka6bxpKrqe2Ixh4cGSOQlfxwBNXcnEJKROMVp7sly9725DL/aBRlNy7ApRcXDykkvvDqsZ6wp8j3SpZBhHUvuVbmyN4timB2+P1yhzlxm0jj6YnambhD5XBM6iKfODiSCsTK1cqudKuEFbte2+H69SGw7X1TCuEgN1KbjYcSSO+dkaJETsyKulL598BCysXHG940jm6DXxiW9Mct4iE2RX43/1OtcfFg258nE886Man2g4G3cG1Z2psXHg6l3iKB17IUAPh60QNKR+WPprYPxwd5r2clZ+N+ztFsYBsOQsbco2hM+bz5Fgq1d6EFzZUqRVNVcmAqens1cH51jpfQO5tflwbPixokLKh31yLIO5iNhOUd8D7icsJR76d+W0bvV0L/k+kyT0ShsbIjdB2xu0KQL3JtjMNWyXVQ14n65UQAF3FA09Yk/PhigcD8aI3KbnSLx2lpAPEksoquRhy4ZM2Krn8mTgouS6XDpOSax228Cy84pSvyzvTqRkZmpKLat+dPWb4/KHXt0wEAEubJC4b3Lcelva3FULIi8YYdoHn/OgVrRepIK3EiEm6ha/1rAoxYr7tk631T1QqmxT0DycMVI1/2Dbh7/86Q/gMf/dxAefhM1ws+OeNIRdeaHzmV9cuiAfd+DifeNCNT7UdDLo59WYpzI6txjeIqsBX3ngpn1naOjRwxq0KSgURjM8oVgUTH9eoDjqiwz4vTVfDEwJNsuns/s7ltN7zGWIFu/AKux8XLxJYFaT/LUqdrwydzWQXFITO8Owe7jabdmSUqMsJ91ErskIYPoyrhrLtjPmno1AwtFY6BsLX8EmokoXivqZBghPq+aaBeDs8dqhWbQolC8+I20kWNEsOVzYl18VKYuIXR1Vyd2SUaEruO6OH0wfjB6l1+emKDn4lF+q6g5IbVAbBFUWp5KoQYAhCDMzWv83vRJ8WZ2r1yjLpv8Hbetzm+UNtwTOUE7gMudIyIu0KpmrfVZ4F6/7O5fRwt9n0dGYiYwB2tFTSfa1nhlrlVAohYFfwVSqjfvzgwCQJ5s9Nk750Cyv3UM4Iei07T9lEJEbMxCeWGDF5ubMNueATZ9Qtph61J8eDbnycTzzoxqfaDgbd/AazjWxceDolVWFv1iR6edAELbz0cVFvNSx9d0NaEh22PgAdxpuz2JBrq8Z0KoEICJ25lkDAj+vSdBalzrey+DBJVoBaaCqCQA0znh3W4pyswL2fICsgZPPTenO7FlcNozJy+VBlQr1pCpbEVqGRDor7DWnqMnK8MEuly4GuQuCJK7l8uOIrW9m2hbVtFCWXs6dTpStIJVdRSjwl98If6jkruS6cXKmsWyuWJc5NDFsmZusbQ8fSy4MmaM1z4EmvbLNQKbncH5pbr0INuVEKIWS1L+w8nP2NmvIbWRPgxo7z6WFvO/VC30TGQGLErK1nQRgxB7uIMfRnYBQbizhYpbKNlYvwGcpQ7m5/nfr7L/nEtvBZkGWBB/561ZlJvWoXxYNufJxPPOjGp9oOBt2ixmUaGxdKIK/xNVEVVAFESXf6am6X5Mr7zkYJP64pcMZbzj7MS74cIloVfvqfB/0vCsnHDbIqbNOtChwdBnWEWxWwBpdNZyu9FqclzXWVkPtxeajJxapgWofDqsDrfLlaWMFCZ3e2XaiFznb2mKGeHVLkHPnGizts+DAfk1WQMKK0nQUOVWg7A8t4e90kPgkEDKYeghP61vDRCvG2s8cMpeTyYCCeEU/1j2ErWz5cRVVypcqeCl1BKrlnftsmJSXXpdZXKrkKZeUpuQpl9VZWKEIMqjpntu4fcC0932eK1jzHA4DysiGDZ1HsClLJlXYF2TqHC6Cp2tfYeiY90UFlHBEKIUxhWR/ZAr9Z2+smLuV/rKNY0UGsXG4TAeIQm4yZTfx8YnmxkEqubcjF79LA2jPiQTc+zicedONTbQeDbknTMo2Ne4/3IsBaNQpVQWGogA5DItmADuN8T6iCrn5cHzoM6++ooTNRAgHmJ9bgQFOB+ymbzuB3k3W+smgAQ25UsgIv8YAfF8GaqY2SSlVYEQSeHbeZ8GYtKIaq0vfxBnqlL3+hi2fmysj1KbmmVjqA8Bk+iWPeOAEDtcu4jLzQd4pKl29lavvytMXamhzDlWQYp0K+kHaFqlRyMeT6lNzn07TvUmWVXP48tACUrFhmSi4PAUJVx7PgzFZZ7YukP6w9/EIobT0uSm7nehN9iL0xgiE973L9GSCU+Vh3HSP27phhdLwwiz6b3pNOL+iYZEeblHQvjFkZjJjPKmIjW+A3ixVxmCqV+efOw2coQ6nK8JkM/GXXnhkPuvFxPvGgG59qOxh0510xWymB665aYPTjogLzUM6IUD6uwlBBEbShwwKU3CCrglHJ9V7SlVVyOVkBgSZeMrDJe3msClByJZ4KvreqZOTiJQ70G5R4WxHE60Ny6VDOCL3tbEHHRHkH2p02RfDknrk1JU+ub6hiLVsam5X7QD31UHFyPZYxapdtnFwoWfBN88plSb9IhZNrUhFNtbK3CZUdGxJeBvFe7hBj8ExdPngLnY1dbHgmQeq6LQjoa9/yKpZ9ODfGbLVV+8Ifzb8vaD0rbLiYcutVBLaeuRRCwLeeLYKZGHLhWccz2MIKIWDl8anpkpWLSzsoMZXAiHHCgvwu8Hrrn//S2odvk0UcH4wfRO+MHu773BE+A6N4CUPoycsFLuFBGDEZPsMFHBe8EXVL40E3Ps4nHnTjU20Hg+6yK0tD2bgHR+bYqQpYeW8UVIUwdJgInUUdmFR4g61b8ZIOC53xFbitBOKFvlPUGlw2nV3fMslfnen53VzqfKPgw/gQlcNqS0FWQGjwDqEWyiKIN4aOpfdyh9CxggHBZAXHSl9Tkt+5fEA2Pcm2M2+okgFBFBAg0Q8fKFQs1C6jTpaXdUBtn2xYk1eVkmvyg1ZWyVXr8jAl1zJkBdkVrCiro2N0+8ifm/oqliXODYoiVPWnM5Me9nva69W+klccpKjbqn1lIQS39PCLBuw8KIRYx57Bc72nqlDmoZwRqiRFYcQQyMRmCq1n3udfGYyYcashP3v4oQW+zVbEIVm5/HLBw2cIXgbxiWX4jH/uGHJl4C+3/ux40I2P84kH3fhU28Ggu7z1TNrUaV5gy9l7uUOMfFys9jQ+LuD1Eh328TQdHeYw5NrQYVqxAHtRqCCTJXQGuLosgTCRFTA8bfVeHEBT3XRlQiEs95Qpzv4cagidBTFyZaCG48PCGLnwfa5um1jHbmHPTxZBfDSxf3jb2c5GKiwYVOlbWU+uC10BhR0ICAKfJOkKe7Mm+WqXOQGjQqCruJKLNXlVKLkYcm1KLp4NR7uFKblqyHVQcsMS/pFRVkzJxaVDtW+JtblUch/rXqqGLe6Pnse+L7Jm1sYrdimE4GUpQOwhmCkLIVCUwp/B0fzBqiQFF0AfK3d3S/3yVwmMmK+KHIQFm4oOlJ4B32YjLCB8yRnFPHzGLxe28JlJQUf4DGhD/N0vuDQedOPjfuJBNz7VdjDormlfbGXjQgmMRFXwuJJq5S2rYb0B19WqYPXjstU3EEhKibLwcYOsCrIEQloVTE1nNqtCFD+uDR82ou4CbYhCiceyFovpFtZSt7HjfGU1ea73VK0IggcGvy7vnCQr4NmBrOAFbMIqfcOYrCZGLq+R5UquanoytZ2takznbm2uQPhQsMBm5Yl+7gPlvmle1jGBeRJTqVzGJUSSLxAKnN54SaiSi2fjrOR6wbOoSq7puRgvihGVXASguHUEzGKpKEJV58zWmU3MvOIwu4Kt2hffE/jWJ1+qI/Zu89oAUQjxSLfZtCuzmPb0m6wVQnxc1Ju+mtuFvl3cLoERW90wuZ3ilz/Ojo5wyZCbDc0qwu0KB3okQ5j8s1/ZRIX+JL5NFnGsY6hDW/jMRLUICp/xTZNs+0NWYGrjsnjQjY/ziQfd+FTbwaC7odMUFVraP+BaOpA9zqfiIrh0dlkrOr+iaSAfF+ElDUNlQIdB/QgLbRhX36dmacUCF17PTK6/A0Jn3y5u5wud2UogNneap4YnrMGRFgd/FR7D7BQHqCB8WK4I1UhG7lrBYt2VWUz7sgpVEcR7uUNUEQQCgxrb2NB2duGNPoGVvq4hJ6VcGcI2VroCR73d3ILO/LaN8iJ+OGGgj67gyslFCYGJYxxFyZWVsjzZjyEXSi7QfDYlV6LdrAixKlZyNcuPCenGg4BcyfUCULx9C0Pui/0n0q7MYs0fbRq2QLrg9deuSm77euOUd10WQiCcOb1xYqBe0jyB2Luz7UJrIQS+H1q1Muqu19UOZ+V+MdepIMUYPvMuffj90qxWLISpqeiG0B8ueybCgiRbcEZxlPCZrW2O20RKmyyhkqbxoBsf9xMPuvGptoNB96FuBbQvq5BeHjSB3ho+WuGnEFoKpCo83sBHVagsOixyyxle0I58XNcSCLQ33XRl0ucmm864x9Clztc2QJnwYYUNF1Nx40SbU4Uo8Ug1dBZGVjCFzlwqfQMZuZyEwcsH4J9mbWfgg2I9jqEKXkTesgU2KxL9vHZ5JlvVjhJKLoKBLs9IXkL4mhzDFS8iuEMk+01KLp6NaxkEV3Jdg09hvlClJjL7iO/S8cc69OOdjRSV5FRJd03JRTEHmMUgXXAlVz4L2TznquSakv48nDm9cWLbsZhdBBH+44UQrw7OV5uOE5P6Jb4f3jPQ6q4RyPQu7r7LX2UwYt73wWdX4NaddbXVZw8VHbYdXPY4vk0WcfC2OX654DYRSbUIwohxm8golhcAWWRB89i6EB/3Ew+68am2g0H3scw8enVwPr05bAwdHjtU9bt/XpquigRSoip8uSAldBj3dmoKlDfkaiEm/pLwQmcX7zM3ndlCZ7YSiJUeDgkhGr4G5/xV/vKIOuRyRq7Eh3EOKxi5UArv71xO27qW0c4eM+i53lOVEn8oZwQdzR9MHxf11oogVGAwhKygpcgdK31NaXLuQVQA/MPD9fIBth5XQ5VXvfzF7G70ydReKlUOLyJA+I90m02bO82jdSLRb+LkciU3KsdYBgNNSm4FCwVKv/TTmdOVyi6V3G8WtQ9Uco3Bp8oquRhyvUHLWEqwVUdZwT5yckofLQAFtjS8oRu9sKb0R5uUXFwKpaLuWgghecWy9exu1nrmUgihqpVRCBHCyo2CEVOXDFvjHC7pOxupYpQfVzek75c30z57qOgy9Hd/53K627vsYcid01Rv/UslfMYrlWX4DHmBeZ4X+rctZsWDbnycTzzoxqfaDgbdZ/sPt7JxFcuTD0khVAXToBSl5cy39ra0nGkDk1csoKwKK5tY+bhgfUqrgiyBkFYFNJ1Jq0KU1L7NqoBgB0+NQ6G6JS0ROrvbI2PwEo+UQ2cWsoKs9I1Cw9CKB9gz09azeKmjfAD+6dsv19rOEHTCehxD1ZMZM9Wa9m7GZl0iCBj57DlxxFtQ5bJ8weMZAV0VpORiuOKMViT7pR9UlXS4lEFUsZLLv0daENCk5N7Ykr5Z1F4hxI7kZSucG0KAaJ/jzGIegEJQkz8LvvkIC54FVfti44FwJnzr2HYgeBZaCLGyifkZsJIUaeMJ8qpbg5ji0ue7YDxUKxnCvLkFfbu4nfGzRynKI91m0yZvoyFZucgP8Isev1wEKbmyiIOXocjAH6gWt7YqiQfd+DifeNCNT7UdDLp7hwxS69TPS9ONbFwrVcEblM4fHWNceaeCDpNtQRpv9dA1CRWEh5geradUKFUR662/XUJnD4jBCWtXHjpDiEauwbkf16XONwo+DHXMKz0/7saO82mrxwAF/u3lQRPojaFjlRL/aXEmfTG7m0K/aS11wCQFkRUiVPrK5xYYFOT1yzsbJcsHWNAJ63HOZYUHFMrhw97L/d4OiQvJLR4+aZ4gYEj10FXJtTWeYbiCkjtHKLkYcvnz2ZdVSK8OzldKLlR2ruSqDUkAQqzKlFwv4W+sl32ioabkQk00oaxw6UAAaqNgFkvSBYYt+SyiKLm96sxUFBJeCCFbz9a2q1CtZzt7zLAWQvxtfic6s7S13gZoq1ZmJSkmUkxUjJgWxOSNc/d5GLEVTenMb9vQ1+WdVUvjoZwR2mcPq8i9Hcz4NjCKR9RdoIXP+OculVwePjMp6GPE339cLla1WUgr28bNaPFxP/GgG59qOxh0Xx3bi07NyNDZuFBxkT72+t0xJBmpCoyzKgelyFW+ri1nDyUHpspaFVBPCnQYFCkoI3hpVEWdr1QJsYI1lUAgUPNwt9m0I6NEkTEwRKUUOrOQFVLBh/kanqS9ROLDDEUQsu0MXFak+aEcbvS8iCu9NS1v2ZKJfqkeBim5JrWdP6N8T8mVlxAouZtZyYpktKas5HLmdFUpuSzh71Ny4Qv17CNSTbSVQdwlUFZgFpsCUC5KrqnaF0l/07B105WJjYcteAaO9EcT+9Opku70t/md6Lsb0pJFKfclf9+QNTBVK3Mbj03J5cQRWXOtcgW4qAu7Aq9VloUQB7LH+T572HZuSfPbFTijOKhS2YQRs7FyOV1EBv7+0GFaPOjGx/nEg258qu1g0H3z2q70dXln+nZxu8RLeGUTv4rrAdOjUhWC0GHWKl8vEa55O20tZyzEJENnxwuz1Pr7tew8a+hsdVtzCQRCZ7mVCJ1BIcRLGwxKqRKa8GF3tl2o6pgfunoOPZkxk57pNU21Ob01fLQq8Tg1I4O+mttFV+JRBLG9blIt5GQFYJLEStZVgTcxcn3we6iGvMp0U1K54uUDprYznuaHtQRrWskylrYSk3oYVcnlgScEA/lwdbfAu4F88ergfDqUM0Ipuapu+Ya0RLJfKrlcRZQIsSpUcjuTOI0AACAASURBVNWQa1JyPV+oLCU4lDOCXh+Sq6GsHrp6jhbYhDd01mV20kUUJdel2heFECtaJwKaIJA8mTGTnus9lV4aWOBWCPEQK4Twvh9h1cqVwojJ1rNN/jKOz6b3pOOFWfTumGH0xtCx9GL/ibS7dxE91j352XOrCA/9mRjFHCPmEj6TrNwJogzlRu/v/z3tE5eLDZ2mxINufJxPPOjGp9oOBt3/KmmTSOXffjldWFvfzMb1ghl4EVeGqgAV16kAAtWwhpYzvJzP33654kx+MbsbfVzUm44VDKB3Rg9XGB4XqwLUKKgiMrHP2ZOuVgXpx+WhM1SVcr+nqQQCXkMEat4cNkZ5qlMNnaVKVrCiqoBLQsiGM3KhGj6ol3bwIoiwtjOo7rZKX9myZVMPw54T1Hb5jLiSe5On5N7jBZ7kmpwPV2C0Qsn98c5GSSXX87r7no0o6HBRcrmSGKjkAsEnE/4e0g1K7idTezmXQVzfMuFl50quZBZHUXL5s+DMVt48x20jYEnbgmfHCgbQqRkZiiN9/vbLE3aeTayQw7Ni+cgjhi2H7eLu3DiH1rNttbRLX5RCiNVtK3xFHNyuYGIUuw65+A7wzx2XC24T4YG/B7pdGw+68XE+8aAbn2o7GHTfn+81nK1pkFBxsepmKm5VUhXwQgis8j0yyqnlDKtvhJg+mdpLhc4wNL3Qdwrtyiy2hs6Q1oevEIMTfJ429qppDW4anrgfF01nANwH4cMAuUeg5uVBE+j1Ibn07phh9MH4QXRiUj8VqvnuhjR1Ubm4oVay0QnoN1xSuAov1EKXIggbLklDvvHijj831ZP8uJh49hIoV8AmhbWd3egFbuZ4gRu83LmCJRV305AbZFcwKbkIPN3ElCwoubCTQGnn5Aul5ILRimS/zQ9qKIOoUiUXQy7UdZbwh5LLfaFcyYWaaEJZ8UtHbiWUXP4sbNW+4BWDcgHv+o6MEnqm1zTaP+Baei07j94dMyxaIQQwYpw8Ii4akTBiIY1zKEdBpoAj3DhGDKSRh7vNpo0d59Pd7a+jOywXDLnRcAmf2fBtkpWLbdNtDKGHv/+PZIyLB934OJ940I1PtR0MusdubEg/ra+dDGQ80TCp4gJx5NVear5BR6qCiY0bWADBMVRQBOHt3JhsCzp3cwsVmEHg7EhetrIq7MsqpN29i4xWBbwoFou0PtSoquDjmvy4vOmslFWV3sT8nkElEIfHDlWBGu6p1tbhLqEzix/XJXRmHaYQFIT6/kRDHz4MqiEnYbw7Zhi9PiSXXhpYENp2FlTpG9SyFRXxNqHBIips6H9GsJNAyULRCrygfE2uDVec0fp4A7/KHvJsIim539xgV3IR3jQouUC6cSWXl0FsEWoiyiBmXZaw+RSw745UcqMixPAsuJILZuv1LfUAoLxs8ODZp8WZ9GVZVzqztHWiERAXwW21En8/TYUcAeQRp8sf2NHikmFrPYNdgRdCvDF0bGAhBEJ/soiDX/b49yCIsIDvAWdFm1i5uFzc5QVjYRPZ3buI/k+fnHjQjY/ziQfd+FTbwaB7fEWtpMoENq5UcT2rggtVwTbk+lRcA1VBsSVf6pJ4MUMRNKDD8HLmq2+EZl7sP1EVC8jQ2W0idMbT+vAV8hdG1NAZT4rDjwuFEF434MOWNF/iq/MFPuyZXtNoT7/JinGMQM1n03sm1+HAI6HEAxcV7qdm6DfuOXQhK1gDTiYfNScreKtZtGuBycpVQ5Aw3hw2RilXO3vMCGw7k610I+ou0LyIJjarTcmVvmm84KG2T2+c+PuxWDwjHgxEUccbQ8cqOwkY1L5LCGO0WpVc8WxSajwLUnK9IRdK7vnbL6dvF7fzJfxRpMJ9oRuYmsibt7iSC7Y0NiD43gQNubyYAxdDKIqy2pc3z8HaA280FPV3Rg+nD8YPUkMut41ohRDe75yxEML7fQv6fhi96nzDYaJbWFrPYLmyIdw2e6QRiRHjFwwe+suoW6y+B/xzl+EzfsEw4dvAysXv1Oq2yW3T9vRZKnj5bP/h8aAbH+cTD7rxqbaDQffkvczLubedYuNyFZcn83loqTI1vqAq+AogEF7yMFRKEXRoOXt50ARlVdiePku9oGFVuCXAqsDT+tyqEJTYh0c3DB0Gryfg9hWe1w0v7Xs7XEdbusylh73EOEogXsvOs/pxv1/ejC6saZDwfD5oGKICQmdShQ+zKsjQGfceKh81GLkICm7048OQ5D+aP1ilyfcPuJae6z1VMXI3M/+0bDvjrXS2St9UGumgHkLF4kouXvD8GXE+K0/1I/BUGSVXVi070xWClFyxLrcpuXgmLrW+KIMwKbmVRYhJRXHe5cnvy9p2idIUySu2Bc/O3do8+T15iDUCMo60xLid++HuQMtIaLXvsQlJdjS/ZIjGudMVHdTv2NH8wYo2ElYIIUN/0q4QtRAClcqgwJhYuXe2XahqrXG5wG/UvqED40E3Ps4nHnTjU21HDbqb6+k1vhiQuIrLrApRVFyfVYFxVo1VvnvbJQsF/lQ7+WIOQYehHnZPv8nK34mk/tp2FWpo4qGzokuTyqAprS/VwbDQGR+euB83n/lxZ12WTIvf1moR3dl2YWCd79ujRmp+XIVG4viwLcxTjRIP2E24n1pcUsJW4oGoKu495GSFnY0SFhOmvp+7uYViGvMkP9LkIGFwRi5vO5vHhlyg3qAcwq4QpuTyZyWxVdnCN83rZKHkcsQbntH+AdeqYCCGXDCMz93cwk++wCVE+KVtyf4wu0KYkusbsphdAT5pruS+M3q4L+GPelmu5Eo1kdtH5KXDVcmFP3qoQVWHoiiHLd48B8oFFPUvZndLDLk3t9BRbvyy4RVC+JTckDZAKz+aYcS0DQe+F1DSGaeYt57xS4ZEuOH7gCpysL2BPQyzitgwYjL0F8TK5eGzpzMTZTUHssfRwZE59B85veNBNz7OJx5041NtRw26j7RQXk4tlS/4qlGpClwJNNX4YlBSVAVZALFRx1BBEZQtZ+CtojlrW9cyur9zOd3b4TrlJ7y+pR5iklYFDE1cEUnFqsALBrgfF6rU4uY6mmqD53Xbnj6LdmUW0wt9kyqhrQQClbEXN3p+XBE686HfDKGzMLKCMVwjeaBIkXMf9YM1VbsTmKAcHyaZrLsyi2lHRokiYYCRe+OVSf80GLnwIVam0heXETTSyUQ/R7wtF0ruI94LHs+I20lOlXRPoqtwCdkoyBf7Oyb50wFKbmQbiYmuABSfp+T+vCUx5GJdfua3bXw1y1zJ5bW+UHJlGQS+P1ByOZWEb0BclFyOEMP2gweglqctViHNB5i1Z2/WJF/zHLzReA4/rfM2Ho/WU5XlytKDi6Ajxs3aBGiq9t3fMbnh8FrPJN2C2xVey85T3GjQRmQhBJjRttAfv+xxJZeruRLfhkt5GCuXt83tzZpEr1wzXl0u/nN8ejzoxsf5xINufKrtYNA9sbODXuPL2biewsH9ai4vAQxJmqdTpPN9VAVW5fvT+tp0YW19VQ0r0WGy5Qwv54e7zabNnebROs/fiRf0wiuSLwkZOpPKoGvoDOqgLBgYVme+8uMCy7Ogmb3pzFbnixXsl2Vd6XRFh6Qf94917Pgw4JEsjVqRyQqyCEIOUyjvgI+aXU4w5KLS94Pxg7SgIJL827qWaYzcW5hyxRm5fD0uUW9RgmfcVmKqXYZ6uKqNrrbv7DFDQ7yhcvnT4szkmpwrucxOYrqE2Nq2IqHdDHQFo5LLhiyu5H40sb9Pyd2RUaKeiUnJhUd6jEMQ0Kbk8gAUvjcSuQd/NH8W93cu9w1bvHlO80Z7z+HifZZSjoBCCJffNyNGDNQR1JM/1SS54VjTwKikYyPlihHjzGjeehaFlcs/e24Vkfg2zsp96Oo5CqMnK5UPTukUD7rxcT7xoBufajuKuvCX3gk2LrycguGZClVBBs7AxuXpfKUG8gKIjXoBBIIyn03vSScm9VOBM+7t5IEz3pzF/Z3cT8hxVNyqIF/SqVoV8pgfd47w4+KFbWo6ey07jw6OzKGj+YPpeGFWUiX0SiAurGmgr8J3NkqGzvhFJYXQmbWGmV9QJBHj+bTE5QTIN/iovWHqy7KuVnwYVrNI8t8ligcQcpJtZ6YiiLDCDsky5l5EU6JfIt642v7q4HxV1IFn5LOTcCUXwU5vTW4brqpMyRWeXIQBVfCpooMiXkgllw9ZqPU1KbnSIx1VyZWlBCaEmPRH82chldwPxg+ik1P6qOCZzxu9va7aeGjhTG7pCdl2hFp5gqp9vRZA5Atk6xm2GyjjeODqOSo4u9yjjcCjzr8P3CpisyvYWLk9684wFnHISmVuV+CM4oMjc+i93CF0ckofOlXSnd6d1ToedOPjfOJBNz7VdjDofvjvg/Ua3xA2rjNVgbNxT06h80fHJNZ6nnfNSFVAeOnGlmpYOjUjwxkddrdQBeHvROiMA9UROjOVQEQJnckSiIkNk+u/hZ4f9w7Pj2trOguq88WLW6uMDcOHMc+nC4fVqFTJIgj+Iuc2E0ZWAI/16/LO9GlxprHS95le09QLXfo/FwpGrmw748/LtZVOBgRhK0EjXalI9MM3DfUQdbK8hACIN165rAUDH61ntpOwS0hVK7kmuoJUcjHkSiX3+T5TfEruitbBSi7fhKSi5AJlhYplHoCS/miszXm1rxy2fM1zGHJR7SsKIaLYRqx4PbSe8UII8KO9jAG86meWtqa/ze9k/PzDMGKlFowYbz2TF4yg8Jnps4dVhIf+OL4NjOLXh+T6ijjen98iHnTj43ziQTc+1XYw6B7961hjja/rkBtoVeAtZ9KP68DH/bQ4k44XZjmjw+DvNCm5YxiOKkjJDSuBSEXJhddzU6d56sXxXO+ptDdrklbne7wwK7jOF0UDVYQP489QU3LDiiB429l6f9sZLif8ubl6csE05s10koSRCl0Bz0pWyXL1kHNyt3Ut0zi5/AUPxJumtvOLyJ+bGoerKIzWQL+0DWFlKIPg63IMWWihe3nQBHq+zxR6qud05W2/RxAvuE+aq4kyCGhqPbMh3UwoK17MAUVxbbsKdTHE2hzMYumP/u6GNDq/omnS2uMNuT/vbqlV+wYVQji3nrFngAv8Twd6JAshHm+QVNMRyBSs3DeHjaFXrhmvhtxHPNuVCSOGi7qNU2wjLNjCZ/zCxz/7xYbQHwgLe/pN9vmhYdn5cEmTeNCNj/OJB934VNvBoHvk4LTQGl8nqkIQG/etrORadVezQKoCwkscQwV02PN9kuiwBwQ6DL3vnO8JVVCGmKL6cV1DZxicEOSQflwEmkxNZ+CvQpkKq/M14sMMZAUXJddHxQgqgtjZKPHsNnkBJwNZgaf4ZaXvVsE0RsOTCyM3CPVmU3L5s8plqXJ4EXnLFk/0wwcK9fDw2KFKbT+9oCOdWdqazq9ommgU3FQzga6SgaeDA5OXEG9bgucT5pe2+kFdlNx1ZiUX63Kbkguf9E2sgY4ruSPqLvDZFYKGXFsQEGpinrcBkRXLnHQh/dFQ1U9M6kenZmTQ6YoOie+LF9L8eYt3IQTlohKXDXxH8BvHL/HGZ4ALoGflAVrvdEUHOjUjg05M6qdsPPsHXKt9/sDqrYyAEXMphJBlHAhhys9eWkUQ+gO+7dXB+T5GMYo4PrqtTjzoxsf5xINufKrtqEH3v+ZWjVVBtJwpq4JsOYMf975wPi4wVPsHXEsv9J0Sig6rYHWkSOpDFUSISeKoUgmd4WVhKoHA2tVEVsALe/+Aa1WT1ocTBtLJKX3oi9ndEnW+N7ZMrML/UC9Z5/uoQMA54sPChlwfI9crglAtdcxqotUws7az725s6Ws7Ozx2qLqcmCp9XT25stLXRcnlqjunKyBVDi8iMG+SrvAwu4xwTi5WtVBytaYt8Fll4KkSSq7Gn64iJRdDblUouSa7j7QsBCm5JpQViCRr21WoANSTGTPpud5T6aWBBca1+dllrZLfl42s+Aaovaqq9gUrV3rWsaXCM0DdtVeSggtgGCt3XQoYsahKLjBiII3Iz15aRXjo763ho+lo/mA6Malf4reqooMq4jixqmY86MbH+cSDbnyq7WDQff/o9ZEDZ8YCCBsbF0UCXMU1UBWgBqIx663ho+mVa8bTvqxCZ3RYaZNEKllaFVJpObNZFbJDrAp8cMIKHCUQ0qrw0cT+yeEJqf2AOl8t1FQJfJjvGcJPza0mUi0URRD82XGyAlBJ8FHv7DHD99xu8dR3zjSuDCPXhqzirXT8WfGh6i7Pi7jVW9M+nakn+pUPdEYGnV7Qkc4ua6Wr7Q/VSgxWu1vq6KpKKrk2P2hllFyEOKtCyZWXRD7kBiHduJI7vbGu5MI6wpnFUsmFP1p7Fn+ol6ww96w96kKIat9PZ6rNVcrVvrgE8kKIfR38z8C7AH6zqD2dKulOJ6f0ofdyh9DBkTn08qAJtKffZGVX2NRpnqq6dsWI8fCZaciV4TOOEYN1B+U1iz0azCqv+Q8oPdgVwMqVZItzN7dQlp2T98aDbnzcTzzo/j9wzp07R1deeSXVqFGDDh48qP3fHnjgAerYsSPVqlWLMjIy6Nlnn/X958+cOUNlZWXUuHFjql+/PhUWFtKpU6ci/3tg0P3g2IrUrAqiAIKHljT8lGw5A7Te4+OeruhAn5em0ydTe1n5uMBQbQpBh6E5i0PsuSoYxY+bSuhMlkBIssIr14xXa/DjhVkKTfXt4nZ07tbmCbg9kEhQpix+3CrBh0kyBhL8DkUQWMnKtjOgkuCjfoQpVrzSlyf5ZfEAmMZoprORMILoCnw9XuC92HmqHEMuEv14uXNOrrqMeD5Q1UgHJXcba9qS6CoReIqq5GqhQKGyp6rkYsiNquRm15mnPRObXSFMyTWVElSwSwdqsB9gYU20b707Zhh9OGGg5o9WzwJMadRfozSlEtW+mqXH+45owUyvqvzn3S31QojVDVUo86u5XVRJiomVu5Wxck0YMRBiomLE2tcbZ0W48ca5Bc0SQ+4drRLbp40d51sJC/ge/G1+pwTP26se/3lLTTq5uV486MbH+cSD7v8D56abbqIrrrjCN+g+9thjdMkll9Dtt99OL774Is2fP59+85vf0IEDB7T//OjRoyktLY127NhBu3btovT0dOrRowf9/PPPkf49FHXhxGqtxhc//EEqrrEAIoSNC8zO+RVN1brbRlWAf3Bnjxm0PX2WtvK2Bc7wYpZWBZeWM5OfMIiP62pVQMEAAjSHckYoHJJsOlPDE1L7YXW+lcCH+Tyf3gvcJXSGIoivyztrz85EVgiq9IX6PkGEbFJh5JrKB2TbWbl4Vnyo2pFRQrsyi7WWLShYqF3mPtCL9+lqO8JORnRVikqudon0kv1RlFxTGQQQYiYld2FEJRfPwVXJ5b5QXBC5mng3CwHuyCjR2ufeHTNMJ13AH722vv4snk/TgmepVvuGWUZshRAX1jTwPYOj+YPpUM4IeuWa8crGsz19lrr8oZp8aYtkGBO/ZbJxzrX1zIQRA8INIcwKQ+gPAUzYdt4cNkbZFbgfWpItTm67PB504+N84kH3V36OHDlC9erVo/vvv9836Hbq1ImKi4u1Pz9gwAAaO3as+t//+te/Uo0aNWjPnj3qn73//vt0ySWX0I4dOyL9u2DQPf7ff4xmVbAVQABWz0NL2+vSz1u8IVe0nNmoCpKPu7XLXFp/1QJa63E9b7rSjw6b0MBf5ctT+q7MVV4s4Bo6cy2BeGf0cDqaP1gbnrRA08aaiRcHvJ5eat/mx00FH6YNUQa/oY/F+niDpOcQaiFrO+NsYxtZ4d4OybCgrPSV7XSuZAWuGnIPIi4lwCaZhio8q02d5qkLyTO9ptGefpMVJ5ezjLXLCG+kg3rIOMamxrMoCDGjXYH53ZWSi0CnUHKBdjOVQXC7ApRcvi6XQ1ZVKbm8Xha+UF5KwNVEibKCkisDUOdubW5W1b1nge9LZap9VevZ6aXqMq9lDkyFECuaGgshXh+SG8rKXdAs+b3Ic8SImVi5EiOG3y+OESsXjXPrr1pAD109hx7rXkq7exfRi/0n+i4YX83tovuhGdnixGOt4kE3Ps4nHnR/5WfkyJF0/fXX0/79+7VB96OPPqIaNWrQrl27tD+/YcMGqlmzJl24cIGIiO644w5q0qQJ/fLLL9qfy8zMpNLS0v/L3rsHZ1WlW7/Y1R93aKARAROuchGSQAgQIBDuJBAuMQGCIRCIRCIQpGjx1kpLsVFoWxrkoFIgG4UDohx7g1La2MqHLY0Wcry0NI1cNwLeRVAUdO9vnj/WGnM981lzrjXXm5h9yl6zyj+2Zavl3O/7PnM8Y/xGpH8X2Yx25o+hKq4Pq6MpgAhj40LpAH7q9OTePqrCy30cqgLUQKhOCGmEBc7o2jtqyxlffVeHVYH629Ci9dmsruKreR0cqwJtOnu6rjO8UK+nqc5XoxJGCp0RMoaCfgsIndEiCBo6CyMrIHRWSbyH/N4409iWhGHCh5nazmiaHytasIwPZI9VHiOSgEFql2WiHz5Qhq0ylRCYhtzA4QpWEq7kUpV9pVorG6bkbiCfKZOSOyYBJZe3buFOeBBQ5wtd4bKlKc7ttX4F4uCQ0eL9nGHycyOZxZx04fqjjQixCNW+yueEK7kInhkKIbDp4IUQtFp5W6oTyFzl2njo46+UYPXoI4M+/GztCmn1i+UjfSTZbEwjzGiQRqhVhIb+uF3h6wVtPG869UP/uY04ubNbPOjGx/rEg+7P+Dz33HPiuuuuExcvXvQNurt373ZsBMeOKf+bPXv2OGSEI0eEEEJMmjRJZGVl+f7excXFIjMzM9K/Dx10ra0KrApWSeW/lBTKxoVv0IaqsJasvO9m6LApTfToMI6iihI6ozgqGz6uLnQWVgLxaVk3WVGqrMHxg02atHypffajHRUf5huiuFKIIghXiUdo8LslTZWWOvg+aQ3znr6TjGQFDFO6Sl9eBBHlzvCDjjQ5fZSgfIAGnehQRdP8aNl6Z8Qo8eH4LHFqYl/xcWmKR8CgbFbumybqYdTGM84w9tkVCH/ap+QSlZ2WdEBFDEOIcU9udSu5uoQ/6mW5LxSlBFRNxKMDSu4nM7s7YU3KLN6o+qN9d0EehWEhzcitZ4ZCiC8rOsk2wA9yhyqFENtSncf7apcWgyAthtwpTbwNR6IYMfrfH55oIPVo8O9u8t3FG+feGjxGvDdquKwgl/XWXEUnfugTL6XHg258rE886P5Mz+XLl0VycrJ48sknhRDCN+hu2bJF1KpVS3z++efK/+7gwYOiVq1aYv/+/UIIRxHOy8vz/f3nzp0rOnXqFPjvcPHiRXH27Fn5B/7eUHQDVVwyHClVsPtT1FQ+4av62LjTU8WZogzx4fgsH1VhZ3qxj6oAzuoiNighcJarCZzZejt1VgX8OGP1HYWPa7IqcHTY1wvaeFWxqChF0xlwSPwHO6Ifl/9w+7yG52eoZAx6h8821obOvprXQRs62zcgX9pMTGQFqsDnNwrGh4Uxck2qoa4IQtd29piGy8rX45/M7C4fI4oXkShYSPT71EOLOtnAwBNdk7vD1dUDPVS/9Hqzkou7MSm5/PERpORyCwlXcqmFBD5pWyX3Afbo4GUQ7+cM8w1aaJ/7YQ0jXYQgxKLYFejGA58TbfDs6boKfeTiwmTx2ayu4tzUnuLYhAHig9yhMpTJq5WXtXMsWNSuAK863XDwR0aU1jNTGUdQIQQeGDz0B7vC98saG1X0Y/97UDzoxsf6xIPuz/Tcc889onfv3tJy8D8x6P7ud78TtWrV8v1x6swflSEXX/iKiuuuUWkYw1cAsZGwcV2GZBAb942B462pClCdaHhJhw7jbE/doEupCnRgwpALHBWGJtvQWVAJxJdzOnqJfVoVu6W+ugbHDzYCTczraePH9SX3KT6MDFEKGQN36OLDrv6hngwNfjmno/hkZneZHqcq/Eu9J8sa5sfI3VGywi1EgYePmrfTRSnu0Pk/R5E0eVjbGYYqrGjR9CQfJHM6im/uaiVT5T887t4TZbNybFUE9dA4XDElVz5CcD/UL03qlj+b1VWr5O7OKDIGz6pLydUVEuiUXCT8eb0s94VCTTw6bpD4aEov+ej45q5WTkMgr1imOLcA60jQXei86wqBxPWty22Ha+mRdeWGQoh9A/LFy32cz8dT3WfKamXUXWM7BbQexYjhc4HvMt2QG9R6xjFiM37tx4g90aVcMqNf7jNZ2qwQlv20rJv4al4Hp4Ic7Yz4b89U9A/fGBUPuvGxPvGg+zM8p0+fFrVr1xa7d+8WFy5cEBcuXBAvvPCCqFWrlnj99dfFN998UyPWBZOie/I//xBa/uDDhlHs1NN1pcp05aFGCl8VA5KOjbs7o0g8lzYtlKoAzipUp6oEzkwtZ1jz0YGpKlYFBDg4OkyxKjzbWP5YX92f4rU30eHJkNqPHDqjeCrXaygDNe4aVhc6+2J2Z+vQmYmsQMOCFB9G781Gfeceap1qSIsgTG1ne/pOEq9nTZBcVqhXn5Z181jG9Id9S32VgHEo0++btlAPw9BVXMmVVhLWtkVLOoDlQ7Kf+kGpigglFwr7T6Xk0nW5DulGg4BQcnVlEB9N6SU+m9VVXKhs76mJa0hD4AstVSU3AYSYdsiFd92lyPiCZ5ucbYd8CN6R5HxGpqcq1crYdDyXNk1sdD8f/A5KSSAzarVvWOuZrozj7qTgQgj+wKBWEbl90v23Pz5B/PPQpHjQjY/1iQfdn+GBemv6Y/DgwTKMtmvXLuV/++ijj4ratWuLq1evCiGcMNqvf/1r3z+jV69eCYfRjp1a5rcqcBUXa1SsuTUFEN8vbeKl8gPYuK9kTlSoCuvc4FIQVYGvvKmvk6q4iYTO6I8DQkw8dHa/RejMpgTih7W1vZQ4ms4O9PCvwVlSPIofNwgfhjpmOUQ938xRaNZ5JR7f3ttCXFyYtd9KoAAAIABJREFULH/ATxZmiqPjBkn0G9LjUOHXkBrmuzVkBVrewX3UQUUQOrICX81Se8mMXzv/XFPbGbBJWI9jqDpTlKEGBJc0dZTDdZ6tRCFg6JTciEOubk0uhyv3c/bjn9v4yRcGJRcqu07JXaEpg6gqJxfBp6DWLZOSi4Q/rZflvlBaSuBTE93PjbaYg/ijbUKAvmpfUC6ASsT33fPNPN96AoUQj3TUF3LwkhRdIUQQRsz0359jxBa28hrnuF2EMqNPFmZKf/o3d7XyPgvrvQcfvrNkvfWZm8WRd0viQTc+1icedH+G58KFC2Lv3r3KH3/84x9FrVq1xPr166V9oXPnzqKkpET532ZlZWnxYn/5y1/knzt69GiV8GIfHl+sDLi68gcFG4bhaL2DNrryUCPp5QQb99zUnqFs3A1uMANDEqcq0HQ+FA/emBWVqqBrORtJAmdAH1W08EIbOqsCigXCrAo+dJjOqoCmM1gVSFVswk1nPLkfVALxOCFj3NNSot+AqLINnZnICjQsaIsPC1LfaREEJ2HQIog1hrYzAPDBBlXKB6ithNYuuz/sUHLpPYVVyWr5rDollz9C6LaEKLncL/3eqOFi/6BxSrLfpOTO+LWZkxtVyeWfpShKLk/4c1/ohcr2zsp8aROPLQ010Q1rfvf3wX4l19I64ivlMNhG5MbDrSyXvvVFrWUj4MnCTHEkL1u8PTRX0kdQyAGG9ANt58q6a9wBcgZDyMPdptq3XcMx0nqFzwXsCmPIw48i3MCN5o1zr2dNkJ+H05N7i/PTUyVpxPfAQL01aWfEf/sj/5gXD7rxsT7xoPsvcrhHVwghtm7dKq655hqxePFisXfvXlFRUSF++ctfir/97W/K/zYnJ0ckJyeLZ599VuzatUukpqZWqTDin0d/Ex44Axwd2Kn1rMbX9XJ+WtZNDkiHRw8R74wYJX+EORt3jZs+jkJViIoOo6EzU8sZBia6+l7QykvqJxI6M5ZAsNCZokhphiebIdc3QPEVrIunknWlVI1317AgYwAfdm5qT3E8v7/4x5jB8gcc6Dc8UlbdUCE9h0FkhahFEEGMXFrpi9VsGbGX/DZ5nuSCIk2OR8n+QePE20NzPWxSSZq0lihD1Tryw+4qudJWAgIGqZK15RjrEG+6YKBiJ1nnbUvoI+RMUYbCaKXJfqrkwg/K7QrVoeRSbzsIJWFK7gam5L6ZnSc90lRZl0HAlSFqIlNyw4o5wqp9JeUC3uj/aO5tPFbWlZ8T2EbOFGWII3nZ4t2RI4yFEPh+q3TtPMAi6h4aYUouf2jg8YfvMtiuomDEsNlQmNEgjTzufRZorTJ/8P3z6G/iQTc+1icedP9Fjm7QFcKpAL7hhhtE7dq1RWpqamAFcJMmTUTDhg1FQUGBOHfuXOR/Bwy6R/4+S1z8ZJav/OHqgR7Olz1+eHXYMIKdOje1pzg1sa84kpct3hs1XKbywVfdkjJDYeMua+chduZYUBV0VgXToKQLL9FCAV3LWfm1jgJ15/Wqv1NnVQCOKsyq8OM616oAdJjOqsAUKV4VG8mq4JZAKFWlhzL1JRBrCOTeRSN9MrO7OD25twydYYiyCZ1RsgJ8nxSTFAUfZmLkmvBhuiIIFA/AP61rO5MAfDxIOLKKr8fdH3Z+TzYcY/kQcYOBip0ETVsoWqGPEDfwRJVcfMaoXxpK7mqS7Kd+UKoi6ji5UZVcWEigJE7QKLlYl+NOMGTpan1RBqE8OlCgsrPFT6vkMl6x9EYbgmefzOwuTk3sK46OGyQbAV/u43zPPeVWXgPjtuh6b9NBPx90y2Fb7Utbz2gLIGxXsCvceq0/+BfWOPdlRSdxcWGyx4zmDwz24KNB2Q+PL44H3fhYn3jQjU+NHTnovnNzcOCMWxXI+o7W+MLL+e7IEeKtwWO0bFwoTUvaOkMSqAplbgK8sHEwVSFsUDINufhR4C1nkzQtZ1h9r3RDTEjqv5gxxcjH5aEzmdZnJRAInfl8nkSRquqQSx8sit+TMo5Rx+wGB7+Y3Vl6qoF/w0Nld0aReL7nVOmnBvrt3qRK8ZvWqgpPA4O6B0pUsgJn5HKmMX2YwF4C/ye4oPBPo+2MVy/LoBMdqnBXnGVMbCX0nsLUdqWEgCu5NPBElFxuJ/m0rJtCvqBtW5TRGqTk5pIHSFWVXMqahpIInzRX1zewO+FKLhL+39zT0lcvK4OA1D6ieXREVnI11b4Kr9h9EFKWNIZcGgDEY+NP6Z6lR1cIMbXpfEkeMT00bAsh8NCgLYBoPaMFKUEYMWyiKEbs23tbeO1/YEb/uY25jMPdPh07sSQedONjfeJBNz41djDoHv3baNXDSaHoGIxcHyfHhn1cmiIVwPdzhom3h+aK17MmiFcyJ8rk98YbbxGPuYEMqLiLWDK/OqkKpvDS0HqzfS1n1Krw2+R5Yglpztrgoo/+lO63KiDEFGpVwI+0+0PhUwcjJvapKqVFU7nhQdlWx+qYEabRlUDAa3hoWI44kD1WhgZtQ2fUc0jJCtRmEvY4oT5qTlbQ4cPuvN7Dh6FdC48SqIYoHoB/mredBVX6SsxbhPW4UT3kajtXcgneDXxWia5yA09Yk9PhCm1bNkoutQCFNZ6FKbngtALDx5Vc+KSh5PJa32MTBvhrfWnCnz46iC9UV8wRWcnFXeDzomueo95oV1HHPXw4Pku8M2KUOJA9VuzpO0nsTC8Wm8lDkFcr0/AftlT4buP86KBqX9wBbDwotClidgVU+67U2EUQ/FMa51BFjtazTXV8dgX5ONc8+I6fXh4PuvGxPvGgG58aO5K68L8HeV/0hsCZ9HG6wxGwU2E1vmDj4sufqrjlbEii6+4gq0JUqkKUlrOHCcR+a0qp9He+MXC8ODhktPyBDg2dPdNIejwld5X8UFOfp64q1noNTodc0nRmrPMlRQO0jhloJAxRKBsAHgmhmqXtnCF3QSuvtpSSFcICg6YhV+ejpsg3qO9Tm6pM4wdcJuga1q5F/Z/ggspHCW87o6g3sh7nQ1UiSq5WPSQlBFf/2s27o01qMBBD7qdl3eRj8t2RI3zkC5OSW6ZRcqnPvapKLn18cOJFmJLLWa0K7QLlHETJlb7QECU3qNo3SMmVYVuUpjDKBRR1DLm82hcoNzw2YOmhhRB5buU1Nh14wPMhN6wQgmLEkC+AjQfs6AfaeoSYyBgx/uhzh9wghNvJ//xDPOjGx/rEg258auxg0D3+54zQwNl3S5qKS4taK8ORzqqAVP621FLJV33YHZCw6sY6FT8AFD/FiwToj7FNY5auypcidwob+9FhtDlrrasK0qT+61kTzEruotZWSq4sgagGJVc75OqUXFLnS0NNtDIWdaUIDmKIAqLqKYJHWtLWW8VWtAhm5EYJDAZ5cinyzcaTi9Us7CVH8rJlmhyPku8eaObcF4ZchnrTrcej0hVsOLmyhIChqxB4wpr8bHG6YifZ2/8mH6N1OeFPc/IFgmf8brjPPagMgiKsuF1hmmFd/kSXchnexJAFy4+S8L8jyRly4WknK3NfOQcLAgbdh5YrbWifk1ssqqq7qL2vF7TxtZ69PTRXFqYA5cYfGxUtPAY47Fi09YxW+yaCEdOxcmlrIzYcwOpZYcTWmT3RQcG/U2f+GA+68bE+8aAbnxo7GHRP7QgPnNlaFXQ1viY2Ln6ER7lWBYqfShQdpqvyzWs4V+SzatggdBhazl7rVyBDZ/B3np+eKnFU39zT0kHw6EJn7o+E4vGEGlJFP65kfpLhSQYIedNZQJ0v9eNCjd/Td5L0GlJEFR2ibiF+6nGuSgVEUhSyAh+k6EoWa3FKVsC93Zvk0DBope9zadNkyObgkNGSyar4P/GDztvOaI0sftQ163EaPEtIySVlHUqdLENXXVyYLJu26Jr8zew8aSfZmuIouasIf9pGyTXdTSJKLuwKJiV3S8oMRcnlrVtfzuno5xa7mxBdOUeUIKDRH81VddwFcHtPOhsslKaAVwxvNBR1VPs+lzZNqVfmthFaCAE7FmVI2yq5+F7jGDE82lFNDhvPWlJ1jYIUa4yYqXHuk1nG4F886MYnyokH3fjU2MGge3pzq9DAGbcqYDiyqfEFX/WW5s6XP1RcKE10SOJFAlH9uLoqXwxL+FEOQ4e93McZmA5kj5VJfYTOvpjdWXx9e1uZDDeFzq68la5wV2V4ozpDZygZIGnxH15p7/xoP9PIV+cLlRChJlTGvj00V9aVUnzYalY2wPFhURm51Pdp03Y2gTxO4KOmlb5BnlysZqUn11UNZTPdpjrO/8+b6AqfVlSdrmDDyd1SX0G8gc+KVD/W5Lrhiiq5nGGMz5euia66lFx8nqiSu9JVcvm6nA9ZX87pqNyJVHLdIVdbsxxRyaVtj9h+4DPja58D6YL4oy8uTHbqy0vSxPH8/uLw6CHircFjtNW+qFemjw1YeqK2numUXIoRoxg3ysq9P3metPGYMGInCvoFY8RQjoIgJuN7cyUX//3/86NH40E3PtYnHnTjU2NHDrqPNXCUjLUkcHZXK0XFNTWcocZ3s4vUoTW+d17veTkpqD6PFUBEoSpwNi5Hh1GqAl2t3tLc8XX+prWHDtO1nNGU/ge5Q8WJgn7ioym9pAIFf+eV3zfwcFRBVgXm8aySVUFXy4xAk6bpzFTny0NN1I+rw4fRsgHgkSiHFX7qqFYFWgRBHyc6H/UihnyjwxQNCuLOzhan+xi5StsZYeTK+9Kg3qLcFVq2OJtV8YFS9ZCo7RTxRiuXEXh6JXOi2NXrZrE1pVQyjJe39/B8IF+Y/NIm6kVVlFxYf3jwiSq5B7LHKkruJzO765VcWkhgUHK5R9rKk6thFsMfrajquAu3wvzr29uKz8u7KM1zlHKxo0eJYhvh1b40AEgRe2FKLseI0c8HrDy68N8DbeeKFeTxxzFih0cPkQUp0sIDu4glp/jipfuNLY2xohufKCcedONTY0cOuo/U1rJx6WAEq8KhYTnijYHjxauZhXI42tStLLDGt5TV+I5MsACCpo+5pxODEufjTm3q8XEXXe8hj2zQYcfz+4uzxenik5ndPVUQ/s41tZ1VHwmdyYrYvw/21n2uMsiH3IRCZyiBoLXMHE21pb748UnXW/1QI1nn+3l5F3F+eqpkf5r8uLjHB9urjGNa4sHJGFHQb6YiCN52Vty00lfBHFTpC8VKSfJzpvF6ohqime5gb/99RaAr+BT3BDi5lxc3V5q26B0h8LSr181ie9p0uSbHcIW2Lc5oNSm5QUOu7m6ClFwMubCRcCVXty4PVHJ1CX9NzbKtJ5f62JWGwHcGeP5opqpfXtxcXLojSX5eENI8OGS0eD1rgtidUeSr9sWjfq4G5UaVXHxGwlrPdIUQeASaMG6clasjXFCM2OX7rjVixHzlKOSRrhtyY+tCfKKeeNCNT40dDLonF3vpYqkqTU9VVFw0nO3tf5Pkqm52G86w4jbV+MLLyVXcRKgKukpYGjijaiB8nQtbVcqV94oO4egwtJydL0kTX1Z0Uq0Kq5i/86WkYKsCUQarZFVgYSal0COg6SyozveVzIkSTwU/rg0+LCh0FmRVCAqdISw4iTxOKomPGitZU6UvFCtqLwll5Lo/6AoXlFEwbO9KDlWsZUthsyLR/6S/rOOL2Z2VYCCtXIadZL3mEUIDT3xNboMQ48NVFCWX8qatlVwefGJKrvS0Q8kloU3b4JnPOqJjFlPSBVPVv5jdWZwtThcnCvqJ93OGiYNDRsvmOQTPTNW+xU39KDf6ELRtPYMVCw94fD6KfuVZeegdoFp5R48SsTujSLzWr0AcHDJavJ8zLDJGLMwTjf/+9I+YuhCfKCcedONTY0dSFxY19lkVeODsQPZYqf5hxQ1253KNVcGmxjfRAgidpxPp/DA+7hpSKKBDh1He6hezO4uLC5O90NlKgj6Cv9MUOoMf99tlWk+b9ZDLAjSyBIIOTzTQ5FpPaJmHrs4XAxRCTatJkQe3nBQxMgYeKkGM3KAhV1cEwdvOKhlZYQ0JC9J745W+NCh45aFGzkD1JCsewA+6O1Dx++Kqu42SK4dccHI5AQOPEQ0n94vZncX56akKx3j/oHHyjuhD5EGm5PI2uqoqufRu8HgMQohZKbnuutxGyfXdSVWUXHfI5UruD6+0V0kXRFXnd4HPy0u9neIbDLmmat+gQoiw1jPbQojyAIwbWLloAjw6bpDcStlixEyeaPrwo2ru1f96MuboxifSiQfd+NTYkc1o5a1kAOZMUYY4UdBPUXFf61fgazhbS7iqHBtGw0pQAHVs3EQLIKA2QenAupvWX1a6KWRUkK66oUKs7zpLbHZX3rszioyBM3g7ZakAUFRP1nZ+GEglZphVwfQDEYmPy9Fh8OOi6exJDwPHm84QaAICjtf5PtGlXLY4IbmPFWxx00rJ/9SRMcJCZ9RPbRs642SFRzreJn3UKB3glb6h+DDGyPWFbJhqaKPk+go7+FD13kCVgEFql6Vv2vWBQj0EtgphJ6zIqZJ7b1KlWNiq0vcI4YEnGyU3SGXH3eSzWl+qItLHR8JKLg0+0XV5dSi5hEgicW5ghDPSBTZZUNV1CDEEz1aEVPtia0XtCkFKLv2e4/QReNYnsUIIWHmw5eB2hXdHjhDH8/uLj6b0kt9nl++71hly8blwiSNhrWdBSi7+28fNaPGJcuJBNz41djDo/r2kvc+qwANnsCogjf+wxqqAxDet8YXCRANniRZA0CIBqgTC08mpCg+0nSsedL1r67rOEltSZogdPUokOuytwWPEuyNHeOgwqgje1Up890AzJ5GM5izKW92fooTOLp2d5isWqK7QGS2BUPy4ZHjCGlyiqaanijNFGbLMw1Tny1fhVcWH8UatoCIIXQ2zjqywkSTI6TBFkW+00lcyjYMYuTTklKBdwZfmpw+St9I9W8kzjZTaZe6bPlHQT1EPX+4zWfwpXbUG8cYzhDs5w9j0CKEDrq5tS6fkItlP/aA6hFiYkovgk5WSq7GQBA25NAjo87IDu4dHxyvtJULRxyx2/dFUyd0/aJy8i6fcR+HDHTyedKWm2ndk/dsCm+eCWs+iFELAr77e/V7jhRxH8rLFmaIM8XFpilNNflcrZyu1imDEQBzhPvUACw9Vcul319Fj98aDbnysTzzoxqfGDgbdg/ndxfH8/uJIXrYMKUH529GjRK63acMZx4bx8oeq1PgGURWwyqOBs2lExQVVAagjqIHbUkvloLR/0DiZREZ4yRc4w9qbBphc3qrSnEUVKPfHoVqsCtRXCKsCQ4f9uM6rKEXTGawKCNFgDY7Uvq7Ol5ZAUDoGfrj5QyUqWSEsdEbVQh1ZYUePEvFyn8li34B8u0pfjg8LYOTq2s6sVHfcFfOASpYxhio8RkjLFtis8E3DHgT1EGr7WlKbfTdRcoHooyUEQUqujqygU3Kpys6VXF2tL1REKyV3pZ544Qs+WZZzcCU3qAzi6v4U73HoNgQieHtxYbJCuoA/miPEUHwD1F6Ual8bTy6+57DtABqRtgHObzlfltuscsO021JLZUnKgeyx8rNBW+eQL5CFNthw4HMB4gj7HguzK9DvriP/vD0edONjfeJBNz41djDovpHTS3yQO1SxKryYMUUJnIVZFWiNr8mqEFXF1VEV8AMAtQlKINqyQFV4pONt4oku5WJTtzK58n41s1AJL4Wiw9Z5bMkf/9zG8bFR3mpNhc50JRBQpJY0lZQMrMFp0xkIGagppXW+8BhSP24YPkyHqDLdIX68ERqkP+C8CILWMHOywu6MIklWeHfkCBkWNFb6UqYxv7MARm7ktjM2VPlYxm75CiVgoGULbFYk+qkPFGo7htz73TpZHbqKM4y559005NoqubgbfK50ZRA2Sq4v+BSyLo+i5FJlXSq5R3PlkPvDqx29Mhy3IfC7JU2V9jmQLvAwpKo67mJpu7lyyL2V8KRtq311nlx+D9w2gkKISlYIgc/Hn9Id7vf+QePEoWE5csilhAuFOkIwYsrnghJHAugwpi3UkQ9mx4NufKxPPOjGp8YOBt0/DxooDmSPFfsG5IuXejtf8FtSZoiNLsoIDWe/JR5O2nAWVv5ggw0LoiqAjYtgTFCNL6gKSOdTzioasz4cnyVOTewrPi5NEZ+Xd/EHztZprAoHesgVq8JbjagKBlkVeFrfZ1XYUt+rZWZWBVPTGe4TDxbepMVLIKjlBCtYXuIRlawQNXQWRFY4nt9fnJvaU8WH8aAgx4eFMHIjod5MbWduml8GnfhQdU9LScBAWcd7o4bLRD/1gUI9fIA8RMqZkjuSKbn8c2ar5HK/dBQlFx73MCXXV0YQoOTqgk+h9pGgWt8/t/EruUuaikt3JMn2OcosBukC/ujHCELs7iTPvz6tmb5emdpGogbPsurNktsqkGMofYRi3Gi1Mg2efTSll9kXbaj2DWNH8yHX93n46g5x5J2b40E3PtYnHnTjU2MHg+6uzOE+qwJS3lBxg6wKnKtanVYFSlVA+ntq0/mySABqE5RAHVUBauAHuUPF0XGDxJmiDEfxqOjk4Hbuu1aPDnOrMIGiQiJZx1u1CTElHDozlEBcuiNJhghBycDwtLf/TTLQtCVlhiRk0NQ+9+Pq8GH8HsOazvgaluKREKpBEcRcUgSxnKmFOrICwjWfzerqVPqidIBX+qJZy5KRe/W/ntSSFazazvhQtbOFxzJeWVd8v6yxU6FNbCXwweMxAt80qrMfdj9zGHIrWnh1sjoll9JLgoogdGtyGyV3OUv2c7uClZL7fDMrJTdsyOVK7qVvlhiVXDnkPtPI9+iAkksrlg9kj5WkCzwMqXUEDw7g9hDSpEpulGpfeg/IHeB7jj82eCEEGNL4fBzJyxYnCzPFx6Up4suKTl4oU9M6J9F6rvXK1HpmGnJ1wb9/HiyMB934WJ940I1PjR0Mult6jJU81Q3uavvhDs4XPFTc+S5CR9dwlmj5gy5whlQ+5auCjUtX3Qhl8BpfrLtRCXsge6wsgDhZmCkbs76a18EfOEN4ycVQYVhS1t40pc9UwWq3KtAGrceJGuWiwz4v7yLOTe0pFSld09lGcp8Ynha2qjT6cXV+T9vQGb9DFHiYQmdYxa5goTOQFSgRA+tYKPDf3ttCxYfRdjqLgFPQoyQQH2ZqO0PDFpBVNOjk1i7jMQICBnB93DfNK5d1wUBdG11YpS8PBYYpuVDZwZ3G3dCq5epWcm0RYrogID4/vGL5x/UuW9pVcr+a10Gcn54qTk/u7VNyn+/pbLPCEGLjiLUnSMk1Dbm64FkusfTgIYhQLegjm7vPFDt6lIg9fSdpCzmkX/2BZuodcFYxpY64jz+T7Yo/0mXwj2w2Pvzr8HjQjY/1iQfd+NTYwaC7oftNYkvKDNm69EhHx7+J+leTVYGn8W2tClBxbQogTGzce5OcH4CHO9wmVhPMEaUqvJmdp6bzQVW4va0aXqIYKooOcwNM+FGQP8xsYLJdffuGXBMf95X2KnfVUAJxviRNJvYPDcuRVbEvZkxR1uD0PmmZh86PG2XI1eHDKBqJVjHz0ODd5P7WuI1ONDBoIisoRRCr6zh2BU3AKahZK4yRS+0l/L7C2s4wVCEgeKGyvfhkZndxtjhd2kpAwECVLC0gAMd4PlHbi37lFa7YlBDY2BU4+aLoV6pfOkjJxedK5wdV6Ao/gZKr3AnZhFw+mis90oqyToKAsI/g0QHs3pvZeTKsSYs5lrWbI6kysI7Q8puo1b64C948RzdWwOzRQgg8NmghxOtZE8TBIaM9hjQlj/BCCHoH5AFoqlbmdxD6yDhZII69lhUPuvGxPvGgG58aOxh0/9ipSKx1FQyEX37T2lNxS5s5Q1FB43nahrNEyh902DB4OZHKz2+kZ+Ni1Y0a36dclcNEVUA6H2vVy4ube9B0GjgDON0NaWgLBSJYFfDjIH+cDVW+tlYF2loHnycS+/sG5EtFamtKqVhHCgYecJmf85ntROfH1SnyVSmBiBo62zcgX9pMQFaQRAwaFqTIN2CSaDsdWclGZeQGKbmXj+Y6uCpd21lApS/W4xiqXsyY4ivrgG96DqmS5eohPm+4o6AiCJ2SS+1A+IyhRRDUElslF7SSUE5uBCXXWl0PqvVFGcRa79FxaVFrqeSeKcoQR/KyxbsjR4g3Bo4Xr2ROlEruE13KpZIbhBCjd0EfhDZKril4hsfGHNfSQxsBwZEGfeTQsBzZBsgLOWQoc0t9GaQNqvY1DblGJZdwo/FIP7E7LR5042N94kE3PjV2MOguaz/VZ1Wga9OiX1WvVYFip3QFEDSVH8bG3ez+AOzOKFKoCh/kDtVTFVzOqtKY5YaXKIZKqfIlQY2oKf3LV1arISYbPi48niStf3Fhsq8EgobOkBKHMr/qhgqxgqzBsXoFIQNlHkPq3Wqs87XFh0GNp2QMWsXMW+oo+g33R9nG740arpIVKBHjoUbOkEvLO3h9LB2mLHisof7PTyv8jFxD2xldjyMgCJbxgeyxYm//mxRbydrOt8pmQRQQUGyVTj1MRMmlRR1Q2vkjBNQSKLkbSdsWZbRSfFVo41kVlFyjum5Qcn94pb2i5GLI/fbeFkoQEPYRquRuTSmVnxtezMFDgDolt3OD/MhKLqxZlCAzh2D2aACQPzYQzMSW6uLCZOe7DY9AUggBC1bUOwh6+PFHxsnnO8WDbnysTzzoxqfGDgbdu5Kni/uTvYHoVo2KS0NK1VX+gC98+uMLLydN5XM27lo3kLEt1Vmn7uk7Sdb46qgKqIT9flljB7ODtWpY4MxQKBDFqqAEzoKsCoSPa7IqcHTYm9l50ucJqwK8hUvb6a0KNCk+xICAC/Ljmvye1G4ygflx4TWMEjozkRUkPmxHE0+Bpz5q0k7HHyZhd6ZlskZsOzNV+iLohPU4hqrlhGaC0hX4plG5DB9ookqu7hECO1CZhnyxlpV0YLiCyn62OF22fOzTAAAgAElEQVS5m/8/KLm+Wl/XIw0/+8elKYqSu3/QOPFqZqH4U7qzAaENgeBKByHEuJJLUW5BSm6vetNk/mAMC57hsXF/8jyxwrVkbepWJranTRcv9Z4s9va/Sbw9NFd8kDtUnCzMFOem9pSBWtkG+DjB6+HxTqt9yQMwql0hKPh3enOreNCNj/WJB9341NjBoHt7qxkyhQ+rAlRcrOqq26pA2bi6AggMSLZs3EPDcuQPcShVgXJWX+1oRoeRtTcNMNn4COXAxFbfNnxcHjpDWh/cVbQ20dAZEvtIiYN1XNHCG54KG3s/2CY/rg0+jDOOaWJ8XMO5osglY5STEg8gqqDEA4+EUA3uDyq8kaywiSlVzEddlSII38NEpxoiJGhoO0Mr3enJvX1DFVjG8MJzAkYZKyCgvmmutocpubgjGgykRR1Qcudc5x+uqJL7amahVHKhskPJxd3UqJJL1XWTkruyrrQroJwDSu57o4bLICDsI/zR8ZvWXsUyx7npilPCqn1pSDOz3kxp7cGDEEMuNh7L2jmfE2D2dIUQ8rGxoI0TzEQb4KY6+kIIjhGL0Hqm+NS5hcf9Djv9ZNN40I2P9YkH3fjU2MGgW3ZtmfxipwMRbApBKq5NcYCu/IEmjccx7BSwYfcmVSps3A033qKwcff2v8mn4oZSFWg6H5xVU+AswQIIH2/VDWxQq8IP+7oa+bgmqwJHh+1ML5bqIHyei9vMkynxW4n1RIcOi2pV4MoUDZ1xu0lFC2cFi9Ag0G82oTOFrEBtJizBryhVGh+1TejMBh+mqIaseIC2nX1e3kUGBPEg0VX6riTrcTxGZvzauad8ck/UHqRT201Krs5OQvFuwPNByV3SViVfwO+OJroPcofKBkGp5N7T0qNecCUX+KoElFwbuoKtkguPNOwj740arii521IdL/sqsgFBQyB87CaEGFXVg5TcLg0KlLugCDF8VuZe5w8AbnS/63ZnFInX+hWIg0NGi/dzhokTBf3E2eJ0L5gJOw8CtWgDdDcd3/19sDGUSb/TglrP6EaKPzIQ/Du9qk486MbH+sSDbnxq7GDQndqsTDYucaIC/bFNxKqA9SkNK0Fdomzcac38BRBLyIBkYuO+nzNMHB03SHI8QVXASlVSFeDpJGvVK4cyvVpYjg6rapUvRYeR1bdM6kcIncHjibQ+uKuUdwyf553XqyFCWss8vH6FVOU5IYPfZRg+DHW+NEyD4CDUqXuTvCEKD5XtadPFzvRi8Wpmodg/aJxEv52a2Fecm9rTTFZ4ppG+CIIqVQZMUhhZQWEauyGbb04WePYSMFl3tnDui/inv7mnpdJ2RssHEHSiQxVlGYNoQgkYYzQcY11ZR5CSy++IKrmUQa1TcvEIeTWzUGmiO1OUIStlpcqOIZcquQTtloiS6wtwhim5aKCj3GKXdoEhF+UcVMndluoFAamSi0cHr1gOw7kFVfvSuxjJrD23Xus9CGm179YUpzAFnxNeCOF7bGwkwcwqFkKYiCOyIOXvg70wpmvhOf37/xUPuvGxPvGgG58aOxh0JzYp81kVsjVDblWtCgicoQYWVgWsualVYVm7OeJhojJtT5sum7L2DcgXbw/NFe/nDJPr1I9LU8QXszuLC5XtvR9ipI9Jy5nkrJJByeTHTbjKV6Pkfv/OAL+SCxxVRCUXJRC2Si4fnoLICjacY44Po0UDCA7eneTVldKHCi0bODQsRxzJy3bwSCVpip9aYeS6taW2RRC2nlxdO12oJ/dJ1ZP79YI24ovZnSXP+Oi4QbJ8gAadgugKYLPis6dTD22DZzrE2xjGZ+WBJ74mp8PVkbxsaQX6al4HffAMfmn4QQNURFu7grGFjg5ZlHjh3gnU9c9mdZVDLso58Ejc0aNE8qXxQPxNa/2jQ1fMoRtyqZpLK5bpXeB7D82OIMngQfhwB8eapav2PTpukDg1sW9w6xlYuQd6RC6EMNp4yH9/pSAFWD03jHlqSe140I2P9YkH3fjU2MGgO7rhDJ9VgQ5EUa0KFDmFlR3nqsKqgMT3wlaVsgBihTscrXeVjR09SsTLfbxUPlbdGJA+LesmLlS295L58KsZqApKOt+ADtOt9UzosKCWs+/+Plg2Z/lCZ2v0obOPpvQSJwr6ydDZGwPHKx5P/EgjdHY/4R2XscR+UAlElDrfIHwYrWOGHxc+Q4p/Az4MiCq01FH0mwzVULbxCy0dlSqoCEKjVAWRFRTFig5TCAq6lb6+RwlRDdF2drY4XRybMEB8kDtUHBqW4ysfoEGn+0lAEFsU/hihzYJR7ApcydVVLs93EX2L28yTnzPYSUAuoeSLQCXXtStwJVe5m4hKbiDxwlLJ/WRmd8Wu8NbgMeK1fgWynIM/OnT2EWD3eMUyv4swJZf6o3EXCGlCyX3QRSU+0aVcbEmZIat93xg4Xrw7coR8bHxcmiK/52TtNSw9bqhWfr9VoRBCfp+5WynJjj48zHuso8zGfWQcv7NhPOjGx/rEg258auxg0B1evzSw/KEqVgW6PuUqrs6qQBXALSkzxJ/SnapLDEhQmbDq/ry8i6fiYkhaU9srEnA5krTlTEGHkUEpKjrMqAiiOevwMG9gwuobobO1tcWV5Q2tQmfgrqJBCyUQNHTG1cE8gqWCImUanqIMudTvCXwYXYUjOAjGsQ4fRhFVqCy9dEeSh0daXcdbxb7Q0rGauCqV1pMbsQjC56O29OSieIB6cs8Wp4sTBf3EB7lD5X2hRlZHV+ABQUpX4LYS2yFXp+RS9ZBWLmPIBbpqfddZ0k7yWr8CZU2O4QoM4++XNvGoJaRStjqVXO3jw0LJvXzftfJOoOS+nzNMHBwyWtYs83IOinQra+63j0RVck3Vvvjuw12Uk9KUJW091F5Yte8XszvrW8/gW6eIvQQKIcJYuQqr2C1IAVbv2Pxm8aAbH+sTD7rxqbGDQXdA3RIfUYEPREENZ1zFxYBrCpxBxZ3vftmj/WfVDRWyxheBGPz4vjNilDg8ekgoG/eHx10VN4yqwNL5Yegw3vXuKxQwocNe7ejxVokqGGRVQEUstypwj2dVrAp8eAprOuNNWhQfBpVwCSsawAAFfNjBIaMl/9OHD6ND1CYSqiFkBcVLXYUiCJ/6Th8mtNL3+WbOv8s6lYRBGbkfjs+S/ml6X5sJ6g3lAzToRAOCQ9hjRGcRClNy8ZkbolFyeeUybaPbnjZdCTy9N2q4OJ7fXyFffHtvC/H90iY+vzSwfNWp5JqCT1feSg9Ucr++va1UcnEnB7LHKkrupm5lWvtIWXN7JVfHycV98PY5bLHgj4aqDmsPSlPWuw/C0GrfO5K8z8l6z9JDH4L4jEQthABaTxvIdFsA5Ybj+WbeY/2hRuLy4ubiH7dcHw+68bE+8aAbnxo7GHR7171Za1Ww9eLaWBXgS6MqLhSN5a66tK7rLGONL7yc56b29Jqy7khyVFyUCKx3lSaSPJZ+NdpyRjyduh9jWwwVD2po0WFY8W1y0GFI6l++71rx9e1tndBZSZo4Pbm3MXSGtD6UQTCP5zMcHA2dcVJGVLIC1uD4waY1pbo6X6zCVzM/7p6+k6SnWosPAxnDxMh1V7HKD7iGbVyVtjNZ6etaTKRiRZP8S5oqFbK0mQ7+6Zd6e3SFdV1nKao7ygeC6AomlrEtJxdKLlXb4X2nlcv0IbKr180SXUUDT8qanA5XRMnFkBtUtxy2HTEFz6iSKws6DEru17e3lUruiYJ+8k4w5OpqlqmSO7XpfF8QkD46qqLk5jJ/NL2LRzo6d7GZWHt01b6fl3eR1b689czIK65KIQRl5ZJApo9wgRbAO5LE30vax4NufKxPPOjGp8YOBt2UuoXWRIWgZiyq/I0iHk4KRKcq7rJ2jor7WOdbxVPdZ4rtadO1Nb6ogrVi40LhoFSF4xP8VIUE0GFKlS8PL9m0nC1v6KCP3OasT2Z2F2eL031WBRQLcKsClEF4PH8Kq4Kp6YwGmkx1vmAcQ43f2/+mcHyYIXSGwKCObRzVZmJaycqgIK/03dFEtZc80EzLyAWuCjxjlHbgvh5oO1dR3VE+kGjbGQ86cd+0rqyDBgNp5TLsJED0vZ8zTFFyL1S21yu5vInOtQFxYknY3YQhxAKV3FV2Si7uZFO3MrHGoOSCNINHB/Wy29AVoOTe2GCiouSiYpmSLrD5gKoOaw+CZ6Zq34sLk/W8YvdzYqq9jloIwe9ABs/w+INXfZ33uQAh5u2busWDbnysTzzoxqfGDgbdG+vmWxMVqmJV4CoufJywKugKII7n9xdnijKctLHr5ZQD0sq6nsqEljPXq2ZDVYiKDvP5Ot1hSVbD6tBh6x1vJ1Z8lxa1Fl/O6Sg+LesmFSgaYnolc6IvdPZwh9vE0nbO0LSwlefxNIXOuDqYSOiMo6nySYOTqc4XjxWEmlA0YMSHYYhap/FT00cKIStELYKwaTuTiiFS5E/Xle108s4qOolPZnYXpyf3VuwltJkOpR30vha0UlFvEzTrcdwVJ2BUhZNL1XaqHmLIpXWyKCEAuupCZXvPToLPGH+EHMr0vO7VqOQqIU5LJRc+aarkvtR7snInJiUX5Rw6JbdLgwLto8N0H3h04DuQky7gj4aqjrvAkPvW4DFKtS8ehEq1L77r6OdE03oWpuSG3QEtSZFD7jONJD/6uyVNxTd3tZKs4r+NSY8H3fhYn3jQjU+NHQy6HeqNDlxr6wYiutpGMxZ+bGlxADyci673q7g6bBgvgIAC+PWCNvLH98rvGzgqLlL5VMWlTVl0jceoCrbrbi1V4dMKNYl8KNMJLxlazr5f2kSqT1/M7iytClAFD2SPFXv73yStCk+RYgFqVZh7nfPfc2pTO6tCkJJr8uPS+6QPFoqAM9X5Qpmiflzg3+RDBWQM/HBv0ofOfIFB1lAXqQgiiKwQUunL8WEmRi54xkC90fsqblqp1MhWh5Lbp94MOVRRJReINyT6obZz9RB1srSEAMFOLcMYSu6BHv5UfzUquQg92Sq5Z4vTjUouvxNTzTIeHfSBaGtXgJLbu16pfOiDK80rljlCjAfPeLWvQiFBK6CBcsGVXNNjI8jKE1bI8eN6lxKzpKm4dEeSs+Fw2dGvDe0fD7rxsT7xoBufGjsYdNvXywkNnFWHVQGDEVTcbamejxPDkbbG9/a24tt7W3hVsGs1A5Kr4vr8nAw/lTA6zFUDfeElDEtB6DDX2/l5eRdxfnqqOFmYKY6OGyRVQShQz6VNU3BUy9qpFbG3NPcam3joDEOuTejMVAKBIZcOTxRNZVPnSxnHUOON+DCUeNB1OPdTM6UwoSKIMLKCptL38n3Xikt3JDkPE3JnYYzcJaS0A/dV2LhSi3ozsYz5XYUpuahdhm96PmGzQm2HDxTqIRrPUCcrSwjuaqWiq6iSi1AntSuwLYlpyLVRERW7QgJKLnzS1K7wsOZOdEouSDPYgvDPDR9yaTkHVXJH1b9NcqV1Fcs0BAjrCIbcYxMGiHNTezqlN6ZqX3jXI1AuTIUQ8hHo5gzwvSa3HPhsuEMuqCPUq44Nx58HZseDbnysTzzoxqfGDgbdNvWGh9oUuOpHeapYbU9pooaUKG4KHs6NJI0fhg2jYSUFO0X4nZyNq/g5I1IVrv7Xk4qn00dV0BVAYOXthpdkNayh5QwBpreH5kqrAlTBDTfeIta6gRlqVaD1zLTUg1sVdA1aUdFhQCHxpjM6PGENrqvzRQnEycJMuX5VSjxWEjIGDZ2xR0pVyQo8dCbDTTqyQkClL8WHHRqWI/YNyNcycpe1mxO5CMK27YzeFX2M8LIO6psG4g2JftAv4H2HeqjUyULJXcMeIaRpi/NZbZTchGp9Iyq5e/vfJJXcDTfeItYQOsmd5E50SLcoSi6vwkYRDlVyYdfSVSxThBgPnsm7WNDG44GvVSkkaAW0bZ4zVfsqQ677eJd+dWw5XLQeApnfL2usUEfOFGWII3nZ4p0Ro8T/03tUPOjGx/rEg258auxg0E2qP8w36HKigq1V4dYAqwINnEH901kVAmt8UQXL2LjfHsvz81UtqQo6pUNb5eumkJXwEoalEHTY6cm9xbEJA8Th0UPEwSGjxRsDx4uX+0wWO9OLpSoIBeoBhqMqbeYxPvMazhXD61dUKx+Xs44LGpubzlawtjrapAUkEvfj2uLDlCHKYg0bqhZSpUpHVsBKNqDS90RBPxkUpHe2JWWGQsIAI5f7P8eR+9Kp7jZDLl2Pc1sJlFzULlPfNAoIgK1C2ImqhxLxxtvoUELA7SSawFN1KblKGUSCSu5T3WfKzxGGXJ2SC7tPVCWXI91MSm5FC3/FMi3mAM6NWkf4XSg8aZci42sFjKDkhhVCyJwBkIjsoQFW8WezuoozRRni2IQB4t2RI8Sb2XliW3pePOjGx/rEg258auzoBl2dTcFU4Ysv9lK22r7f/bGF8gfcFFTc17Mm2GPDEFaiCiAagNw1N0/lUz9nmNIUWONLCiB8VAUUQGxt4K28f99AXF7c3AlpzOmobTl7MztPBpieS5smNnefGWpVKGyshphoNXNVrQoD65UrgxPHwNGms1VseILXE48Vkx/X5/f8j+YqGcMN08gfbuKnDlLhjaEzrhaGkBWurqwr2+kQFIT6TuuXYS8JYuSCyVrVIgi6GqfeaY6sogSM32p807AGQW0H/UI+RKAeAtEHJRdtdAYll1uBwmxA1kouCjoslFywi01K7sJW1a/k0gciHh1UyZ3xa+9z84AbusXD0IgQQ/21q6pfeaiR1wy4o4n3IETANqKSG+pZ54UcxK8ug2f3tFQIF2id2z9onHg1s1Bs6H5TPOjGx/rEg258auzQQddEVOAqLrcqlBKrAkJKOqvCn9Kn+lRcWBXOFqcrXFUZVuI1vu4XvgzEaNi4utBS2JBLrQpUxaVVvlLtoKgdEl6yRYe91q9AvJgxRbI917mhswddVXARC50BR4ViAVoCEcTH1YXOaIOWzo8LSkZQ0xlCNKY63/PTU6UfFwNUED5M/nAzvnGV8GGshjmMrICwIOpjUel7ePQQ8dbgMeL1rAnipd6TZVAwiJHLlXddaUfUtjO+Hp9APnsgYOBxCQ889U2jgADYKuoDVZRc2IKYksvtJDb3E6jk0rsx1PpWh5I797rqV3LpFoQi3bh9BI8OcKV1FcvAuWHIlf5oehdu6Y3kSTMKiS6gaQqfhRVCKJ+PTXUkLQZD7hezOyt3AOrIixlTxP/VZWI86MbH+sSDbnxq7FCPbhhRQVfhW36t80MLXyD4kGs73yrWkx/bl/t49a9UxZUNZzpsGFbcwIaRsBKGI77mvvTtsuqt8XWpCoEFEBiU3JV3UOCMrr03uAEmWBXuZlYF8D3z2Oqb4qiqw6rA0WG3khYteAtRMLAt1VHlX8mcKBFwh0cPkV5P8Fd9ftyN5B5R4oGHSkAJhE2db1DoTKqFBrKCRL7dkSQxSbSdjqrvPOBkYuTma5T3qEUQVHXnlb4cWcXX47SsA77pd0aMktYgqO0+Hyi9I9ZGR5sEqZJrE+i0VnKpV1rTeBZVyZ17neprD1JyEQSMUgaBLQgeHVTJRfAW26zn0qaJFzOmaBFin83qKhFiPn80vQsXlSgfhCRga/Kua+0KXMmlnnVuGXH96gie6QgXO9OLxbbUUrG8483xoBsf6xMPuvGpsYNBt129kYFEBfojW0Rg9LZWBVPgjFoV5PqUWxXCanzZgBREVdBZFTgbl6pNEh2moyqsVRuzLlS2VzBUJnTY1hQPRbW8/RyZCF/Qar7SnEVDZwPrlSs4qqh8XJsSCOqvpi1aazRNZwg0/WPMYLs6X3gMgafS4cMsfrhDf8B5EQRXCw1kBRquoe10e/vfpKjvnGmsY+Ty+mWTf9pGyaVsat16fGEr57O3rJ1HwNiWWipxfW8MHK9WyZakSWyVkujfqN4Rb6PjRR02Vdk+KxBRcrV3w2p9q0PJxZBLH4u6O7FVcnvVm6ZstjjSTWcf2ZrihDW5knumKEMt5qCkC6Kqa+/CwtqjfWzQh7xLH/G1AT5d13kE/r6BzBl8NqurODe1pzhZmCk+yB0q3h6a6yNcLGlfEg+68bE+8aAbnxo7GHRvqJcXSlSY5IZeaIXvb5PnSTbk6k6zxYYbbxGbyWobzVjvjhwhDo8e4lNxlYazEGwYLX9QFEADG9caG8bYuBQ/ZaIq/LC6jvNjvLi5bMz6uDRFfDSlly9whpazrSmlEl6PtTcCTDSlz60KUKDg76xOq4IOHUYpGbTMgzad4cFChycohIofl9AxKONYKfFIsATCZzUJC50FkBWgwB/JyxaHhuUo7XQcH0aZxryZjuPDwoogbNrOTJW+KB+gyCoQMGhZx4fjszzf9JyOHsWEslmpDzRB9dBquApQcmXVsuuVToSu8JvWqpI7oVH1K7m01pzaRxa28rB72IBAyUUxRyhCbL3eH21zFyZPrq4RUPK/YcXa3VptA3yoka9a+Xh+f2nl2TcgX+zqdbN4Lm2avIM7k6bHg258rE886Manxg4G3a51x/vCSZyoMK2ZVxgA7+aydnOkVQHqBawKe/vf5LMqQPmDihtqVQiq8a0ONi7HT6FI4FCmFVUBK280Zh2bMCAUHbbyhgqxtN1c8dtkb8WKlD54q3z1rcNR2YbObEsgsAKnTWebSVUsrCcYnk5N7Cs+Lk0RX8zuHFrn+1Pgw0xFEJRtLL3UgN2v1JMVUATx7sgRMlyDdjrc2/L2c8QDbrNWECM3jISRSNsZamR5QPDB9nPEmk6zxXpXyaUEjHdHjvAeI65vWoY8eVlHkJJrGQwMsisYlVyEOZ/02xWqQ8nFkFudSi6GXNQs03KOB5mSC/sIHh3HJgyQSu5X8zr4K5bdz4zWH22pqke1jVD6iGwDdDcdn5d3EedL0uSQC7zey32cUCa9gwWtZ8SDbnysTzzoxqfGDgbdHnUnhRIVoFqgwhdK0rqus2QKH2ELJLz/MWawODZhgPhoSi9ZGkBVXKXhjKTxKTZMWXG7igZVAG3XqFZsXBpa4lQFd50HxemreR3EZ7O6irPF6eJkYaYyKNHAGcJLCJzRYQlrb13LGW/OiuLH5UOTzuNJG7QoOoz6PMFe5U1nKBi4UNleXFrU2kPA6fy4pMFJpsWZMmVTAlEdoTMTWYEj3/6UPlVsJu10D7ZX1XfarDWGNdOZiiCq0namq/SlNbKoXcZjBASMM0UZ8mEpfdOr6npKLmOz+oKBCSi5Wr+7rqQDw9XjfuoFkv1VUXLHsI1IVZRcXa2vTsld4261tqdNVyqWoeRKhBgJASrWkRBmMb8Leh86WxZXcuFbv3KwtzPkvpTk3IObN7iyvKG4vLi5bAPkD43XsyaI3RlFYkePErGRPAAXt5knylvMjAfd+FifeNCNT40dDLq9694svbgmogK1KjzS8Tb5pY7qVxurwqU7kiQ+R2dV+PHPbbwf3Yg1vjYFEJe+XRbOxsUqL4CqcKGyvfi0rJs4N7WnOJ7fX668D2SPVcJLwFBRdNid13sBpmnukEu9nbrQWZBVIWroTFcC8QC50/XE54nEPgoGkBL/tKybsga/+od6WoUQqhTwYZxxHAUfpn2oENA90G9KEcQmx++NwOClRa19ZAUUQbyeNUEWQWxNKRXrus4SqzXDVJkmxU8ZuWGVvnSgoo8SWtqBtjMMubeQ8gEgq+h6fFevm8Vr/QqkrQQEjI9LUzxcn/sY+XFdbWc7QVu2OJs1QMkNU9p9jxCdX3pnC0Vlh5KLuwGSDwMWmgNtldwxzK7Qq960hJVcWEi4XYEruSjnANINSi6CgKcn91YeHd8vbeJsP0jFMtrndMziMNJFWGHKN2du9r7nkDnQ2EYuLWqttAEeycuWQ+6evpPEjh4l8nvtkY5OKPPO6ytFafOyeNCNj/WJB9341NjBoJtVt0QOQgDQc6LCA209xW89826+1q9ApvAxEJ2e3FtZbcsv9z/U85Q/1nD2k2PDuF8QAxIUDqi4CC0FUBWQzqec1Zf7TA4NnM25zsNQoVCAt5yZmrP4gFsdVgWODoM6CJ/nOyNGSfbq+empDgqJYqlWuj/WT9c1+3Gp5SSCVUGLp9KEzqTVxKLOV0dW2DcgXypV3EfN2+mo+q6zl9jgw+ijhPunedtZUKUvbCVgGaN2+aMpvdSgE4aqdRrfNG/Zqg4ll9UtXzmU6V+TcyXXtQDhbmiy35auwJVck086SMnlDw96J+AWz2FBQDwQoeTi0fF+zjBZsawt5mAhwKv7U7wtFvOwBzHBjd519thAsFZaep52/n8Cm6qLC5PFlxWdjMGz53tOlaHMFS55BDjESU3iQTc+9icedONTYweD7vD6paFEhRUMG7ajR4l4qfdkn1XheH5/cbY4XWtVkGvTp+vaWxUi1vgGFkBgQNKwcSWs/plGDl7HQFU4X5ImTk/uLakKGJRe6u2svCk6bIUGHYa1NwJMo+rfpm0546og9+PS0JluyA0LnZlKIPBwgTJPKRloOvMNT1vqOwOMrq0uQXxYEBlD8RrSytKdLTw80lpPhUdgEDXMgN1jJf5yn8mKUkV91HicUOQbJytAMYzSdoYhl7edTSCPTajud2pqZGlAECzjD8dniY+m9FJsJZKAwR4jsoCAt2wZ2KzWSi7IJbrhiiu5jF+MIgKdkkvRbrZKLse6hSm5XRoU+HzStIGOcovvTqoUy9qpSu7O9GJZzkGVXCUI6NpH6KMDQ+6VQ5ny+4+3z0UecsOqfZ9pJMOZ3y1pqthGTk3sK46OGySDmbDzbE0pFU90KVeKUipdC1b+r2LrQnzsTzzoxqfGDgbd0Q1niOKm3kpbV/4AzBSsCsCGYSD6x5jB4mRhprLa5lYFHjhL1KoQxIwMKoC4dHaaquSi5eylJG3LGX6Iv769rQwumfi4O3qUiC0pM8Q6ouQ+oEGHQcnlKX38MNsouRiYbJrObJVckDJslEDoOyUAACAASURBVFyJQsLw9Hwzb3jS1fkSJddGJdQycnGHOnwYKkuBfnP91JcXNxeXFrX2BQbfGzVc3h2Uqs3MS31vUqX4TetK5XGi8+Sa1HcbTy6lK1BPLh6bGKgWt5knUW+0RtaGriAtQsD14TFiwck1+aZt7SS+RwisQKvrKOQLNAgez+/v84NCRXyiS7l4uMNtcjtCA4E6hJiNXaFtwxzf4wNoReQV0BbI74Sq67RmGeUcqMI+X5LmBQG5fcStMseQq1h82MMwaMj1tZ6xal9ZCEE/JxvrqLXXAa1nGHI33HiLWEU+HwtbVcqcwZiG8aAbH/sTD7rxqbGDQbewSZm4NYSoAGwYFL/9g8aJd0aMklaFM0UZ4pOZ3VWrwrLGqlXh2caKimu0KrAaX25VCGPjfvPdCn0BBNi4bipfWXUjtOSquGBIfjG7sxyS8ENMqQpI52+88RbJWUVjlg4dxqt8ubfTJnSma68L4+PiB5qq8wjOoAQC1aQIzyBEqNQyo2AAUPudLSQhw+THrQo+jA9QkqzgrsOV2tj1BP3m4pEo2/gfYwaLd0aMEm8MHK+QFTZ1KxNriecQlb7UR82Rb1HJCjq7Amfk6trOlrXzWgbpg+T1rAmyfEAJOtGGLTxGeCMdH6pAMbF8iPgYxrrAE1+TQ8llfmlg+ajK/lq/Am1JRxhdISx4FkXJhU8aSm5FC/+drO86S2zuPlNRclGzLMs52KNDUXJdfCL9DtRZfExDrrF5zqLaF4+Nb+5pKQshTk/uLT4cnyXeGTFKHMgeK/b0nSR2phfLR+AqsumYz4pShtWL8WLxsT/xoBufGjsYdKc2KxPz3bALVtorb6gQa901KW84g+J3JC9bWhXwpS5bfrhVAXxIwsaNYlWwVXEDCyBcvqockLDq5n7cu1qJrxe0EV9WdJLr7g/HZ4kPcocq6fyd6cWSs7qm02zxSEdHcaIrb44Oy9WsvU18XK4IRm0604XOwkog4PNEYv/LOR3FpUWtvVrmNbX9VbGcrMBS+1Vi5BLGscS/UXwYRVSt8tBvFxcm+1rq8AP+SuZE8WLGFLEttdRYBHErKYLQtZ0lOuRSJqvJk4uQEwYq0BUo6g012vSuFLoCWum4rcQdcqvCydXRL4x2EhrqDFBy4XXHkEv90jolVxcINCm51JcbVcmdxpRc3Al80lBy9w3Il02BUsl1yzkk0g20C3ikyefG5tFhYuXqUHuh1b7LG4pv720hvl7QJrT1bL0bzFxO6CPYUOHxPqjutHjQjY/1iQfd+NTYwaB763UzlXYzblOg2LC3h+ZKFemjKb0cRmdFJ+nd/G5JUy+Fj4FoZwtltQ0FI6jhLGEVlxVA+Gp893ZyVFwLNu7Z4nRxPL+/+MeYwT6qwnNp08Tm7jPFE13KFarCous93xodlCjTU1flm0jLWXVYFeDxRAnEycJMWU2qWBXQdAarglswoKCQQvy4QfiwwDpmMkApP9xocnpc9VMD/Yb0PkI1+wbka8kKK5haWE6UKuqj1iHfwsgKukpfU/0yZ+Qi+Lm5+0zxp/SpCuoNfnh+VwrLmD5GeCNdAkpukJ1EYVDvT3HuhwSeqJLLm+iwJqfDFZRcejdzfgIlF/eiU3KnaZRcNNBByX25z2Sxf9A4Rcn9uDRFfFnRSbWPPO7ex/PNnPtwNyBKDbZFWNOo5KI0hbY6mqp9lzVWHhtnijLEsQkDZDjzlcyJYlevm8WWlBkSsbes3Rxxv/uAr2jhbDrw+RhZ/zbRp25xPOjGx/rEg258auxg0L291QzpxX3MrfCliCkTNuyTmd2VSlGtVcEFoGsDZ9VkVVAUDSSNXauCUgABjxr4qo+7TVlYdS9oo7ScnSjoJw6PHqKsu9EItKlbmeLpvD95nkwglxvQYaYqX51VgSuC8HbSgYmHztBeZxM6M5VAIHTGE/tSHdzRxMNS8YIBgx/XFh/GV+EcT+XDh7EhCn5qin77x5jBPhUegcFVN1RYF0HYtp3ZVPqiXQv2krLmzvBAm+kQcoJq+HIfxxMP1R2fwTC6Ah2qFLtCVZVcXTAQj0lqJyFtdPQRguGK+qV3ZxQpKvsKV8ldZKHk2pRBhCm5w+tXhCq56zR3QpXcc1N7qkoubaBzvexa2oWFkqv9vPDSFFJd/sO+ripP2lDtC8weaq91lAt8v8GzXkQ2HUPq3SrS606OB934WJ940I1PjR0Muve1meZrN8Mg9GZ2nhYbJsNJd7Xyyh/g3XymkbcuxUDkqkk+FffS/VYNZ8YBl6m4ko1LhyMogKiCBRv3oUZaNu6Jgn4JUxVKmwUHznRVvmHVsDc2mKhN6etUQfg7gaMKsypQUgYeLopVAUB7KPPweeoKBqqrzteAp/LhwyKGzqDCc7KCKXQ2sv5tMnTGLSY2oTMoubCXDGFr8TBGLvzTuK9Dw3I81d0NCMpWOtTIbiQV2mg7ow1bZHsCe1DYPSnqIZRcnZ0EwU6OrlrSVFy6I0lRcvH5ok10dE2OuuVFVVByTQixKErub5mSCwGAK7knCzOlkntpUWtVyXXtI0Yl16IhMDCkSe5Clqbwal9XydVV++Jz8mpmoXgxY4oxeAb6CDzrdNPRrW5BPOjGx/rEg258auxg0F3Wfqr04u5ML5ZEBay0MQzxhjOpIvHyBwxELk/VGDhL0Kqg/OgyFddXAEFrfLfU97yc4Ksuai2bsriK+2Z2nhySbKkKfFDKJmqgbZUvRYdRRRAtTUM0oTOogrzpzBQ6w+OFKoNfzevgKVEPNXLsJ3i4EHVQ+jwNBQNRh1xTna8v1EQ91WvVEg8MUbRRizJyn+85VbbUgZGLH3CbIgjbtjNT6QBtpytsXCmKm1bKxkHYS5a7doUN7FGC+zo8eog4WZipoN4u33et+H5ZY69GFg1blMvKh6pEg2f0jly7grbxjCi51E6CNjqsyelwtS3V8bpjyIWSW9lSfzfwuP/USi7sXOuYhYQqubiTLys6ia8XtNEruaSBzqfkWmxAwlR1Wn/9w76uzucF1p6Qat+3Bo8R+wbkyzZH3nqGIRePDepZx3db17rj40E3PtYnHnTjU2MHg+6jXSb52s3eGTFK2hTOFGWI89NT5Y/rN/e0VBuxNtZxhkhN+QPWpXIgIupFWMOZbsD99vtH/DW+RMVVsGGaGl9ZBeuycT8v7yLOTe2pZePu6ev8d9mW6igcNlQFms7XBc6iVPmaAmdjXN4qtyogTAh/p41VgSuDSpDp6bqeVYGog0qAECtXTT2pyY9rXefL/bhI7lMsEinxQJMT/NQ8dIb0PlR4NNTZFEGE4cO4xcQGH6Zj5G50287AyMVnkfo/v5jd2UH30YDgJtcq5JYP+Gwl7mfP5jES6gOl6qGpTpYouWAY4zOGqmygq7alen5peEGh5Jb9Dyq5S9vNFatcX/vWFEfJfTWzUG5DoK7LO3E3IVf/UM9DurmbLcU+wh4duu9BUwEO90f7EGL0YY8H4UONnGpfl0LCq32pbQSPDV3wDKUcuQ3mKJ711PpTRId6o+NBNz7WJx5041NjB4Puhu43SS/uW4PHSKLCiYJ+cqUdiA1zFT/K6PRZFTQNZ9VhVeAqrrQqoIWJFEBcWd7Q+fFd1DqQjYsSgUSoCrp0fiJUBZ0iiCGXN9jNvc7jHi9v7/hx4e9E6Iwq9EfHDRKnJ/eWyXBZ6kFDZ0SJ+mFvJxUFZ1ECYdOkJR8szFet1PligHKDgzp82PmSNIkPwxBFG7WAfltB0vsLWnmBQdqqZSqCsCUrmCp981hQsLKlmZH7YsYUhZGrMFlxX4ubO6o7Rb290FK9K03DVtBQFdkHSh+UpsYzd1sCdBUCTyYlF0NudSi5uodjIkruU0TJxZD7Qe5QVV3HnQC/t9HlhRMlV1p9aANdIkouwbn5rCNkewWSDKw9qPY9UdBPetc5r5i2nqH2mvK/8RCEkovvtnb1RsaDbnysTzzoxqfGDgbd7b1GSy+uz6bg/rCi1Ud6cdd7KWKEk64e6KFgpuSPLBmI6A+t6Yudq7j4grcpfzBiw5Y1Ft/c01KycT8uTZFeThMb9ynXz0mpCr9p7fwI39JcT1WoauDMpuVsatP5ilXhXveH+WGiCsKq8GpmoVLPzK0KMhkOdd5kVaANWkQdtK3zDW064yUQ1I9LSiAogxVkjGMTBojDo4cooTP4qde7/M/l7ef4PJ/FTZ2GugmN5lUpdHZDg/HGezPhw2jAiTNy9w3IF28NHiN5xtoiCKiGVHXf28nfdsZsJTb12SY2q6K2v5XuhTupksvb6NwmQTxC3hg4XrySOVGWEHAllz4gqZJLH4//U0ruGwPHy7bAUCWXlnMYyiCCPNJGJZdXLJsQYuQugEo0VftSXjF9bPDgGa1XxvcbvtuS6g+LB934WJ940I1PjR0Mursyh0svrtJuVtFJXLojSV1pr9Vjw3j5g86qwFXcoC93W6uCT8UFFH1THelNQwEEVQBPT+4t60bfGjxGvJ41QVFxwfB8pONt4kF3jbeI4ac4VcGEDos65Iahw+DtxA/zkrZzJW8VqmBY6AwVsd8taaqqUKbQGWvQihI6M+LD6IOF8leBgON+3AB82KFhOeL1rAkKPgzBpgfbq48UHds40SII7qO2qfRFUNDEyH1r8Bjx3qjh4tiEAdI2JNu1qP+TqIa87cyk5NoEz5THCPnM+dR2hJ10Si4JBqKEgKKrsCnBI+S3bLia2nS+yG/kKLlUZY+i5NJilaoquW8MHK/YFXxKLtR13Z3w0KaBdhFFyfUVczDrCO4CIc2PS1OkteftobnijYHjZSvgUy4m8WGNN7q4qTfkmmwjHRqMFdfXHxwPuvGxPvGgG58aOxh0XxvaX3pxfTYFEBVW13HUPnhxsdLenyK9Z4qKS7yb9EeWqrimznY64PqUv7DyBw02DOoSwkpQAN8emiv2DxonvZzb06YrbFwwPHVUBfwIm6gKYYEzU2MWXXnTwBlVBBe0cqwKi9uEWxXezxkWaFX4YXUdx6oAP2GQVYEgkKg6aGNV0DWdKWtwntqnwUFSAgG/JxisCJ3t7X+TDNPQRwoNnVW08Py41PNJHyiJEDEoWYFaTGzxYSZG7rmpPT3l3bIIgrfS6Vbjkco6qG8aFJNXO6r0C/chcnlxc69ohdhJ3hkxSm5L8AjBZwzkC/BZkeqnfmlakR1FyeX2n0SU3FcyJypKLs0rwCftU9dDlFxdra+uDAIWH62SG4IQk6o6uYvDo4eIQ8NyxL4B+eLlPg6F5KnuM8VaN3tAecVlmuAZHoLgSHdukC/voFX9QfGgGx/rEw+68amxg0F3/+he4tzUnuKTmd1l8l62m0HFJSttHzYsoPwhkcBZFKsCV3ElV9WFotMa3zNFGeJ4fn+pAOrYuFTFpXzV8mvVIclEVYCnU1cAEVblS8NLNi1nCJ2t6zpLhs5e7jNZ7O1/k2zOQugMa1aJo3qokVcR+3RdL0hoGTqzJSvgPk1NZ3iw/LCva3CdrztAJYIPwzocXkM8UjDk8iIIU+gsrAgirNKXDlM0KBjGyL20qLXzWdT4p0E2CWo7o3elCwiG1S7jMycpJi+09LBVa1UfKNTDUxP7+troUEKwgSm5FO9G1+QmJZffTVitb3UquTKUa6vkWjTQmR782rCmu8nyVSwznBv80Z/M7C7v4tCwHLF/0Dhp7UG1L1oBTc1z9B64kov//vGgG58oJx5041NjB4Pu/zuxi4IM07abwYv7akfpxcUX+TdnblbDSUTFpSl8k3KhHYhoMxZCSlD+AKXXlD9wbNhns7qKs8Xp4mRhpvQJHsgeK/b2v0mGMDZ3nym9nFTFhQpYRvycCJyZqAq2gTOTVQG+Tqy8ecsZVQSx9t6eNl28mDFFvJI5URzIHqt4rc9N7Sk+LeumWhXgs6alHi6OiloVdOtvG+6qNkBoaDrzDU8ktU/9uGAcnyzM9JV4wFO9wcUirWCVsbSlboKmztc2dEaVXN3jZKQbOqP4MBoUXNHhNi0+LIyR+/3SJh4+LKwIImLbWSABw+SbZpXLUHK/mN1ZuSNuJ9mSMsOn5GJTMo3xWWngiQ9XtkouDwRWRck9Pbm3OD89VXw1r0N0JTdiGYQS1sTnRqfkMoTYld83kAgx7o+Gqr6n7ySxo0eJfBA+0tGjkMzV8IrpPfSsX6I8BOkdxINufKKceNCNT40dDLp/n95WenG/X9bYW49iEDJgw3yBswTLH6pkVWAq7uXFzcXFhcniq3kdrGt81xEvJ2XjzmGJYzRlVTdVgTdm5Vu2nG3qViaeS5smdvW6WYZlgIU7WZgpzhanm0Nnm0ixwCvtnSHXEDoLg9mb7CcK69jUdPZqR3X1ulZf5wskUhR82HwXH0Zb6jj6LSo+LIysUNB4ngwL6ip9+TD1etYE5c50jFypvMM2RPzTCpM1gbazMCVXeYzgM/ekV7iCwQoBTxBMoB7u6TtJttGhTvZBpuRSvBuG3IH1yn1+aRslV2dXoCUdVVVyJdaNK7kvtKxWJddHJNEpuTtbKO2AFOdGSRdQ1XEXeNjD2nN3kvN9h1bAIMqFyTYSD7rxiXLiQTc+NXYw6B6dd62KDNPYFHxeXFr5qlFxbfxnPk8gHYhOT1aB9DSkRHBTXMWF+heEDaNhJSiAS9vNVbyc+NKfRAYkfPGjRACr7iiBs6ACiHHuoGRqOXuko9py9nxPp6J534B8aVVASl9rVVjFBib38YIQU3VYFXzoMMZe9TWd/UdzDwG3xmN+mvy4bw/NlR5DqIQ0uY/QGS+BoHW+YYHBoCE3jKwwrZkzXAMf9gBppzPhw6i9xNdMBxIGU95NqLcoqrt10AlDFXzTKx3/OyqXwWZFop/6QKl6uPKGCrGkrfM5448Q3rTFvaA2Si5X2UErqU4lV9mI/ARKrhxy2QaEFnMoODdqHXEfHGAWQ8kF6QKfF3oX4EmXX+ttrXTBM34PuAP8EYfR4hPlxINufGrsYNA9fmdDcXVVXa/JR9duFtGLGzbk+qwK8OJGtCpQFdfGqsBrfKEA3pukqrhTm85XCiCgMtGmLKpw2BQJ6BBUQ4gaiJV3EDqMtpy93GeyeD1rgkRRfTg+S0npa0NnsKHAZ32wt1IsEBQ6S2gFHtZ0hjKP1XW8B8sdSVo/LrifqGOmlhOKD5vLSjzyAoaoKEOuroaZkxVuae74qIMqfV/rVyD2DxqnDlNuUPDiwmQ/I9clYfzwSnsP4ccfJaxdK/KDRGcr2Z/iKO7wwGs4xijrgNqOgCcIJrijlaxOFiUE3E7C1+RVUXJH/RRKLrX9/ERKLg8CUvuI8uhY726yXIvPV/M6yIch2uco6YKr6vjOK3cfHLBmwbseRLmgQ27bhjkxXiw+kU486Manxg4G3VPL/lcgMsznxUWiOwEVVxlwNRW+ykB0oIe32t7RxAspucof8DlUxbXBhq0lYaX7k1U27jTCxuWBJa4CRgmcpdafYqyEhRpIG7MwKOkCZ8BQYVgCFu5scbr4vLyLuFDZXm2vW6uxKjDmsVLNHMGq4OOuatBhCnuVNZ3JB8vSJuLbe1sobXU6P+7ujCLJOF7regxpiQeS+0iM60ogqNUk0dCZqYKZIt9W3lAhHut8q9hM8GE0KAh82Kdl3VRGLgKgUAxJEYRU3iPiw7SYN2YTUsoHeNCJDVXgGAPxBrUdWxMaDMQd3Uva6PCQ5I+QoPsJU3KxIdGp7NWl5P64jrGLoeT+fXDCSi79TtQ+OnjFMsO56RBilFlMSRdUVad3YVJyuTeaK7ny+y4ujIhPhBMPuvGpsYNB9/QfyWr0lfbOl7er9KHdLAgbphty6R9GFbcarApcxYVV4eCQ0WJv/5si1fhyFZcWQATxVcPwU1QJpAlwUBWQzr+VNWat6HBbIDqMNtidL0kTn83q6lQ039XKw8I9ztQnrL55iIk012H9XV0lED72Ku5zHVmDu3W+aKsz+XEpPozeI8WHIUwzRmM30Q1RQYxcU2AQDxRuM7mbKPDwUe/oUSIrfSny7UxRhvi4NMW/FsdmBSl+TsKAbSgB/7SPZYyhCu2CdKgCAWOdq+SSxwjlGKNlC2zWP6U7bNZ1zAcKJZcHA2lRR9AjxEbJpdxp+njE3aCkI5KSe9+1frsCVXJddnGQkqtjhtsi3WQQkCq5K+sqj46PS1PEmaIMOeTS9rmtKaWSdMFVddwFrD1QchHQ5Io6H3RxF3EFcHyinHjQjU+NHTnoPtFQDSW57Ur4UY1qVTANuT7vJgmcXT6aG9mqoAucvTdquHgzO0/sG5Avf3RhVUBYiSqAc1mNL12jmgoggpRccHNNflwbPi5W3mtIeImiw94aPEaphj03taeq5NJyj01uoHB362All9QzV1nJZStwpbnJoOTC63luak9jnS+4n1HxYbohN6ztjN9fZr2ZIqveLCUwyNvOgH2jRRDb06aL3RlFWk/uJzO76z259M5CPLk6JqvVkOt6cqPQFfhjBJ85HSd3nWsp4Y1ntHKZF3VQL6ipDKJtwxxfGx2U9iEseIYhl/qlcTdQ2fGZorW+Z4vTlUCgYiMhD8Yrb6Urth/aGBhk+dGGNnU1yxzpRoKAwCfi0QF0IpB7+wbkixczpojn0qZJGslytzhlYatK7V1wVT3IroD7wGelc92x8aAbH+sTD7rxqbEjB93/2+Nx0nYzZZ1dDQOuT8V1vbhVsSrwwNkbA8eLPX0niV29bpZpfFgV8KPLa3wpu5OycataAIFgDFVx4enUURXud9eqWHmHocNQ8IEGu8v3Xeu0ZvFyj5eSPN4qWX3rBqYqhc50JRDU54kf6rVePemlO5LEV/M6KGUeH+QOlbYT7sdd02m2WK5hHAfhw+gdRsGH0SIIHhgEWYESMYB9W0eKIF7q7fmoD48eIo5NGCDOFqdL5BvUd8nIJUzjq3/t5vNQ82Eq7L4CVXeGrFKCTlsbyMcIJWB8WtZNGargmwaqj7ZsLW03Vyb6cUe8cpkXdZjuJ0jJ5X5pbEhgV+BKLi/psPLkcruChZIbNuT66Aq0Ztn06CBBQGofOTpukHhv1HCxf9A4qeRuS/W3z/2mtd8fTe8iqpKLz0q3ugXxoBsf6xMPuvGpsYNB9+TznTy01LE8L+TClD4TNixsyDWVPyjYMAxE4KlaWhVo4GzfgPxAq0JYjS9vyeIFEEFNWbohV+fHDePjPtLxNh86DH5cjg7D2vviwmSnGvahRo4iuJ6FzlwrirxfSsxgIaaqhM54CYRcgaNFa1Md2dwkCwZcFBKGJ0pWoHW+ICs8TDjHlZb4sDCygi2iakyDOQojdw65OzTUPdGlXGzuPtNX3vF+zjD5ONF6ch9nw5QbFEzUk0srfRUll25SItIVwDJGsyAeI0GcXPimKV2BKrlhRR3crkCVXP4IwQOS2xVMSi5KOrRKLg8EMrtCIo8P7SaElKj4apYNSu7l+66VXvaPpvRSlFz42Hf0KBEbiZL7QNu5kkYCew9X1XEXtkou7iKtfrHoUXdSPOjGx/rEg258auxI6sKePl6KGzaFr+7QqrgJeXENRAWpWuzt5NgUSPXrD6vryCpLqBcIKZkCZ7ThbJ2bLkYa/87rvcGIhpWCanwTZePSVTcQRxMazROFjSuV4NLCVpXS07miw20ynb8t1QnIhKHDvr69rSwUUIYluvY+0EMlZjDequ3AFMTHNZZAwI+7pb7jx3WtCkjsfzG7s6wnhbfwQPZY8Vq/Arl25X7c+5Od1WsUfJiNVYE/UmiwaZRmiJrf0rGZLGmr3t2WlBliZ3qxLIJ4e2iu+MeYwaqPekEb8c09LT3kG9R3kE5cpjHuTDKNSQA0qH7ZhpErHyQHe6vlAyzoRBu2QMDA9oQOVZu6lclHJS3rQMATiX5sTLidBJ8x/gAJKoMwKbnwS9+fPM+o5OJuIiu5RBAIa6GzUnK/ukPhhcvQJh79xD5CHx1Qcj8cnyXezxkmPzc704ulkru602yxosNtcotFmcXUH03vImzI5XeB7EGfusXxoBsf6xMPuvGpsYNB99jrQzwvrktU4Cpulby4n1boyx9gVdjdWv7IIvgirQp3JIWycamKix9cWBXAVa0kK+4oNb626DCsunUtZ+MazhWTXBXXho8LdNgbA8cHosO+uael5B/Lalia0qfeTpoIZ8SMyE1nhtCZrwSCKvMrPZ/nxYXJEkuF+3xnxCgZoKFkBe7HXXS9Fx4E91OX3K8ufBgQVZOICl/pDrkIDK4md0eLIA4Ny1EUePio5eNkVV0F+Ya2Mx+PtQp0BeWxSVR3SVf4azfnrkLoCmeL08WH47PEB7lDpQce4cBEOLlBSq6OrmCr5MIvTe0KIF/wumUoubKkw1TrqwmeVYuSizvB9+LhYV5oE5stVs4BpBsKVN7PGSYODhktXutXIHZnFCnfgStcdOIi95FPPexjAvzRtkou7qJ/vTIxoG5JPOjGx/rEg+7P9Dz77LNi/Pjx4vrrrxf169cXPXr0EP/+7/8u/s//+T/KX7dhwwbRqVMnUadOHZGWliZeeOEF39/r66+/FmVlZaJp06aiYcOGorCwUJw/fz7yvxMG3X8eLPShpbg6USUvromo8FKS9AMq3k23q51yOk9N7CuOTRggV9sIv+xML1aUP13D2a3XOurflCbqYIQv+rAa3yhUhax6s5SmLKi4CC3RIQnr7vVuAhxUhb39bxIHsscGB84eaOb4cbFadQs+lGEJLWealH5QIrzKVgVWAnH1D/UUdfDTsm4ysY+CAdwnHiwmPy7Fh01IEB/G75CHznhLHQ+dYYjSkRUQOntnxChxdNwgWQShJPjho97oR75JssLJApVywuwlkdrOSJU22s6UgCBtpUP5AEFWnZrYVzZsgcuKNP9G1x6E2uVFRMmlarspGMiVXBo6S0TJXdiqUiq5qzvNlsQSPB553bJyN7paXxNCrBqUXMnJRWiTK7kb66hBQNc+gkcHVXJ36Y1OzQAAIABJREFU9bpZbE+bLj83UHIXXe/VmPP2OU66COLk0uAZvQs86IfVmx4PuvGxPvGg+zM9/fr1E1OmTBHPPPOMePXVV8Xdd98tfvGLX4h/+7d/k3/Ntm3bxDXXXCPuu+8+8dprr4nZs2eLX/7yl+LAgQPK3ysnJ0ckJSWJ7du3i507d4qUlBTRo0cP8eOPP0b6d8Kge+TdEp+KS20KtkOuz4sbRlTAWptYFS4vbi6+uauV+GpeByurAg+ccasCBiPU+CZqVYhSABHUckapCiY+7luDx8hB6WRhphkdtqa2yj8m1bCUfcyJGXxgsknq24TOtCUQv2/gVJMydRA+T2CpKOuYrl25H5fWxfK2On6Ptn7c7vUna/FhPNg0v6WqwnOyAmcb0yIIRS1cQx4ntO3MtZgo2xVNwMl2yKX+T99qnKLe3BpteVckIEhb6VC8AosQ0vyPdPRql205ubrK5aAhl6qHUNp1Su697iNkJcHyUSX30LCcKim5NKBbZSXXtXEpdwIld2Md5+HvNgXSBjqq5O7tf5N4qfdksT1tuqzBpo+OypbOkEuVXAQ1de1zJiUXD0N+F7D25DSYEQ+68bE+8aD7Mz2ff/6578+Vl5eLpk2byv+7c+fOori4WPlr+vfvL0aPHi3/77/97W+iVq1aYs+ePfLP/fOf/xTXXHON2L59e6R/Jzno/vP2hG0KVu1mJqLCxjqe4ucmu6V30234wbr04JDRYv+gcVJN2p42XWx2E95UxdU1nHFsWFa9WZFrfDl2ykRVoAMSrYO983o9VQGVsK9kTpS+QZrO/2Rmdxk4Uwal9a7q9Hwzx49LCj58w9JPbVXQocNWeugwalWAOgjryWv9CsRLvdWCgVWkzIP7cSeRNThdvdqEzsJCgwid0ZY6XeiMDlGUrBBaBEHVwmcbe6EzHm4KUN8TYuTS4gGEPne39gKCeGS6rXT4/KF84NCwHLF/0DhJMwGuD2l+BJ0wVEHJzWMtWzTRb6PkwvdOtyX8EYJH5MJWHvlijavkbkstVfzSh4blyMejVHJdtJtPyaW1vroyiKoquURd991JiJIL+wgeHdvTpkt84oMuQgwWH2yy8DA0KblBQ26Qqg6edP6vZsaDbnysTzzo/gudxx57TNSqVUt899134sSJE6JWrVpi586dyl+zevVqUbt2bXHlyhUhhBD333+/aNasmc/ykJ6eLkpLSyP986V14cM7EyYqWHlx/9pNS1T4YY1nVbi0qLX4+va2DqOTDETvjRoeaFVAnSVU3DCrgmnFbYud4lYFExvX1HKmoyq8mlko3hg4XrwzYpT4IHeoOFHQT3w0pZcclCRnlaPDaEKfFgrQaliLH+VqC525yuDVP9RTSiC+rOgkW+uO5GWL90YNV2qZd/QokQUDuE+gkLgfl5cM0AanKEMu/dHmJR5UiZ/L1uEgK0CFp55PYxEEtZlsrONrO0Mxi8LIjVjc4bOXhDFyqWroot5Qo31+eqq8K7CMX80sFDvTi5X1OIaqOwnJhPqmR9a/zae2R1VycUdUPTQxjB8kjxAaCoSSC790lZRcixBnZCWX5hS4krugjVRyTxZmig9yh8oGOii5T3WfKRnhuI/5mkcHLD60Ytmm9YzaeyizmN7FpCZl8aAbH+sTD7r/Qqe4uFi0bdtWCCHE7t27nWDYsWPKX7Nnzx5HdT1yRAghxKRJk0RWVpb275WZmRnpny/DaCeW/LReXINN4fulTeQw9MXszuLj0hRxenJvcTy/v/RuvjFwvEzhYyBa78LoEba4m6i4uoazRMsfTMMRrYKlbNzCxo6KW9bcG5BQOYpVdxBVAUUCH5emiM/Lu4iLC5ODA2co+HDDS/IHmYWXwqwKoQ8Ywjy2sSpQjycv9Hh7aK6iDsKqgB9q3CcNM1E/Lh2ewtBUtiUQvE1ralN9Sx0Nne3qdbPY03eSZBujoc5Xw7ykqbi6yiVibKmvIt+oj1pDVohc6cvrl11GrrbtjBRBQHWnrXS4K9hKKMt4JWnYosgqvh43Id5MRRB4UPJgoKmNbu51KsMYSu72tOliZ3qxeK1fgbwf6pemJR2BSi4NBDKvdLUquTtbSCUXQVx8L1KkG1dyqX0Ejw6UQdzS3GsIrIqSSxFiOmYx7qK0eTzoxsf+xIPuv8j561//Kn7xi1+IRx99VAghxJYtW0StWrV8FoeDBw+KWrVqif379wshhBgxYoTIy8vz/f3mzp0rOnXqFPjPvHjxojh79qz8A3/v46eXG4dc/HlllR3Vi2sgKnxzT0txobK9xEydntxbsSqg/AFWBcDoUWXJA2cmq4JuMLK1KgQVQNA1qomNi+T3E13KfVQFFAn4qArwdN53rUznK5xV2pjlVvkqw1LEalg6MFUldGYqgdCFzoBBwg/1CoKlovfJ/biJNp3hBxsDFPXjUvwbSjyoEr+crcNBVoAKT8kKn5Z1U7zUShEEsZlceSvd76OOyMjV2hXCGLkIfq5RVUOo7mile2fEKPHGwPFKQBAsY455o4o7f4zwsg56R0FDrg7xRpXcihbOkAv+9KobKiTejT9CDo8eIgOdil+aq+yau4kaPEtIycWQq1Fyz03t6VNyX+4zWbYErnWRblRZv6WalFzch659Dv5oqOq3XhdbF+Jjf+JB91/gfPTRR6J169Zi+PDh4r//+7+FEDUz6P7ud78TtWrV8v1x8j//EDjgBobNgry4ICowmwKICl9WdBLnp6fKRqzDo4eIt4fmigPZYyVm6rm0aWJLygyxjqTwl7iq38JWTqIYP7STNCGlIGxY2IBLgzAIK1HsFPVycjYu+KoYkLamlAZSFaAEfjWvg+rp1AXOdI1ZNKGfgFVB67V2iz2iWhWgDAIdRmuZaYMWtypwdBgPM+mazqKEzkwlHvmaNq3fJs8TS9r6W+oQOkMNM1XhlQfKssaOzWS9n4iBx4kP+WYRFLTFh+FRYmLk6oogjuf3lwFBtNLRu3qko8MyxmePMqk5AYP7poOKIPhQxR8iVMnFtgRK7vL2c+SmZHvadFmwciB7rLSScCVX8UvDAmSp5EZuPLNRcte7AsDyhk4dtvsZ4kpuUK0vL4OAkju8foX83NgGz0wIsewA0sWC1nEYLT72Jx50f+bnwoULIiUlRaSmpoqvv/5a/vmasC6YFN1TZ/6otSlwFdfnxT1ZYPbiPt/M327GiArwAgIbBqvCq5mFYlevmxXvJqwKSOHPb+kPnP3UVgVdAQSqYDkb9+EOHhsXfkFbqsJ3S5p6wPqNdZzg0s4WPnSYz9dJCj6itpwpVhRyvz4+LhT6p+v6QmcIEp6b2lMqgzx0tqNHidKgRWuZaeiMFgxwQgYeLFF81VSVon5cEz5saTvnDh/rfKvYeOMt4rm0aeLFjCnykfLeqOHiSF62Q1ZwVfiLC5PFt/e2sC6CCFML+Z0FVvqiWcu1DhkZue6Qy5msJwszxeHRQ6TqHtZ2Nuc6b8jVDVW2dgUdxxgPSnCocUd4TELJXU6UXNhJUJVN8W4gX8gGwQSV3KAh1+bxYVRy3SGXqutUyT00LEfsG5DvU3JBu6BKLu4DQUBqH0lUyaU5BDClOeniruQYLxYf+xMPuj/j891334msrCyRnJzs+0JAGG3Xrl3Kn3/00UdF7dq1xdWrV4UQThjt17/+te/v3atXr4TDaBh0TTaFi5fu9wWSMODaeHF1NgVUvh4ePUS8M2KU2D9onISeP9/T8QNucDFTaFv6LUvhT2vm9bXjh1aHDaMDbiLYMCCNkMjnCiD1cnI2LviqQE9xqgKt8ZXBmNV1lCIBns5XWuw0vk6b8JLW2/nlAtVrTVRBrVWBlHpQqwJUKNhPYFVAOpxaFeCvplYFOjhx20kiTWdhJRBcJQSDFei353t6fmqEzo7n95eBQarCK0PUs439oTMQMdjjxDZ0ZoUPs2DkAvWGdi2qGtK2M7TSLW3n2UpQvAKLEK2R1SGrgip9edAJajsNBuKOKpmdBEouQp17+98k3szOE+/nDBMfjs8SH03pJT6Z2V18WdHJX7ecoJLLVfbqUHLlQ5EpuahZpkpuUK1vcVO1zpwqufjcJKLk4nEPDztnFj/Yfo5Y2j4ujIiP/YkH3Z/p+fHHH8XYsWNFs2bNxOHDh7V/TefOnUVJSYny57KysrR4sb/85S/yzx09erRKeLFTZ/4oh1xF4cMAxFfZR3NlfaiNFxc/rFhpg6gAqwKwYbAqbHZV3NUGq0IZWW1TFbeqVgWu4pqsCrQAwpaNixKBw6OH6KkKtEgASuB/NPeA9W4CXFFx3SHX5OsMq4bl6DBt6Oyv3fShs+UNHRwVCZ3h8YJSj30D8mXoDLxjGjpDgxYtgcgnP9Q6P24i+DD+WBnn3iP8uBQfRpP7HB9G/dQYor6a18FZh0OFX+MGBgOKICQRIyI+LLDSF5uVMEbuotbiq3kdxGezuoqPpvRS7gv+z6C2s4oWattZLuGy8qEqipKLzxvU9lyXYILKbNzR/a6SS4OBwPPhM/bh+CxxenJvZ8id01FVch9378fglzYpubpilepScjHkUiUX6jpVcjczJffuJD/tgn52uLIeRcntWb9EKrmjyGcGNBlsr8As/n3Hm+NBNz7WJx50f6anvLxc1KpVSzzyyCPiwIEDyh9Ah23dulVcc801YvHixWLv3r2ioqJC/PKXvxR/+9vflL9XTk6OSE5OFs8++6zYtWuXSE1NrVJhxMn//IMccI02BVpTaeLi6ry4C9qIz8u7SKIC1L5Dw3Jkqw9W2ltTnEYsKH5L282Vye457hf61KZeVzv9UqcDbnWUP3BsGNanpe5wVNnSUQCBneJezhczpkh+J1VxT0/uLRmeoVSFsMBZggUQCJwpiiCphpUoKvwwQxV0rQrfLWkqvr23hbhQ2V6WelCrAtR5kDK4VYHWMt/iKvM8QKhDh0Xx4+rqmE0lEHde73mqqd9zZ3qxgn7z4alub+uv89WFzlAbW8XQmRU+DNYhOkwxRi4tggDqDe1aVDXUtZ3hrmArsan0NSm53DdNGwWh5N5ClFzckc5O8mZ2nnyEgD8trUBcyXXJF9q6ZY2Sq3s4VqeSCxGA+qSpkrujR0mokstrfU1Krq71TFcGoUOITSMedt4+9/iNE+NBNz7WJx50f6anbdu22iBYrVq1xKlTp+Rft2HDBnHDDTeI2rVri9TU1MAK4CZNmoiGDRuKgoICce7cucj/ThIvdmqZug5liXt4cb9/b2AgF9fkxaXtZnSlTYchoIvQiMXLH6h3c4ImcNar3rQqWxW4ikt9nKYCCCiA67rO0rJx0cR0oqCfHVXh2cYeVeFAD72nM6DFzgZDpW05o0MurCi4Xxo6W9pEPmB46AwVsQgSgpSB0Bla6xYR7mpVSyBs8GGmOt8FrcLxYXio/GPMYHGioJ/np17QxnukrKzrFXhQtrEuMBiRiIFhSrk3TaWvDApaMHLPFGWIYxMGiPdGDZf+aXpfYW1n41jbGfXB2yq5Jt80GgWnNFHLOu5PVu8IRSuoXH535Aj5kORFHVd+38Cn5CLQiQdkkJKrG3KrU8nFkHtqYl+fkkvVdX4nOiVX55HmzOIwJRfoRDw6MOSWk88MaDLYfGzsnh8PuvGxPvGgG58aOxh0Pzy+2Dfg+mwKLqZICZtZenG5TQGDEMIuaPV5pKPqxaWKH4gKwBdxFRc2BRtsmG35AxA6UJbmuD5OrOwQVrJh456fnqryVS2oCtKqcOZmraezWlvO3B9lJcBE7xdWhTuSQq0KwFGhWCDMqkAbtBAgjIoO69wgX0HAcasC9XryEgha4gFPNQ2doQTi/PRUuQr31fm6gUFaw2wbOrNi5LJ7w8PEhA+jjFz6KAEjlxdB0Pt6sH20tjOTkhtWBMGV3HFkqALi7f9j783Dq66ydP9gKySAEFBGCaMgQwiEKQwS5jHMCQFCIBAJIBi0QVQcKGkLpApFLC8ihVBY2qBCWwVKi1KIWiLayE/BgSFMpWg5Aw4oeNt1/zjfd5+193d/h5OE6C+13ufheW7TdN0y28NZ+93v+ry3GE4uzmhbx3H0SvdRKk6CzLuGd3MuIRdWRfPunuQLn7z0xXZyESHhTi5y0utaXUcPO+763THU+sbi5IZBiOH1A1xwRLTQPvdk6lAZdEWhJYOuqMykmtEOz9OWkZTDh417J6upWpWcp+ywWVzebgaigokN48tJHHruFVXgRAXu4gZFFWzOH89wchd3LPvS5VEF1PiudL54N7aNOIDbO2fTa9eOoL29h9jZuIyvqlwmH6qCCx3GXNyLgg4DisrEwjlsT7iCWDrjzONXe4yk7Z2zaUtqjrq8wJ2/p/FsDUnFl844d9X2BB5r01mYOl/OX7Xhw7hLyPFhX85oQd/c3EDPU7NLyoUdTUpcBGElK4Sp9MUw5cHI5fES7rw/13G8Kz8d1HbG4wr8QmJzDm0sY9tQZeamZ9eJDLkLG96gCCb4rOGM3uw11FW5/PUNTbWiDhUHcpY6S+rkupoDY+Hkeji5GHLh5L7YZWyxnVwe9Qnj5OKCyJ1cfG7w99/0WtFLB8pvVrMM+/bO2fTXLv1l0BWFlgy6ojITBt2D705TA67m8PEBly+beXBxTWSYV7sZYgqAnS9uHGlZ4k/akyyOn42oELbClw+4QeUPcHGnXKFjw+52sGEPNp+h4PR/SZ2o3CU4gH5sXOUCrvGgKphLSwG1ozE1ZoGq4NVyxp+9V1WMttc558tdwYMZ6fR2/4Ea8xhP31hiuqfxbN+ogrmtX9KoAsdSDWSOFK9jhkPIt/ZxjvyiwskYn05tQ6cLm+hLZ6tYnnpb/ShZwauGuSRkBWTlT01yLwp64MNMRi62+HEp2ZGWRc+0n0gbkr2LIMK2nRWn0tds2EL+HRlQjniD2w4ONRYD3x/Sm46O6kYfT2yvxUk0vNuGKi6GcVjyhW3I5cu6peXkIkJSGk6u36XD5uRiEdDm5HKEGJzcFU5Ma0Ny5AVrZ1pmpOkwvYcMuqLQkkFXVGZSg+7bE/RlJNPh21Jbz2qyLC62uM0s7oFBfa3tZo877WZhsGEof/CLKgQ9bQdFFXiNr+ni8qjCPY2jy0q8AGJ752za1W20KhAIZOOGpSrwIgEPdFiYKl+t5cyCDnO1nK2vpFBU5xbVUFEUzls1l87g0ANHhWIBLBL6LZ0VtwTCq+nMrPPluWqvPK4XPgwuIc97apWxLE+tLikHB8SMqAp8EjcqfbVzg/vufC75MMXPjDfTgYQB532FkZ/mFbJh2s6CnFyegzdjJeZlBEMuLpUrmdsOggliQTijz6e1VE6uthjoDLncyVVxEuMSGWtcoTSdXAy5sTq5/EzMuEJJnVzUYM+pO0f9/YdLx2OMRvLatSPorT6D6eV+aTLoikJLBl1RmQmD7uH/GekmKoDD+UxNfQBaEQXOn52bRF/f0JQ+ndqGPp7Yno6N6UqHh/ekdwb0p729h6i/vMFQxSCExSS/hrNYyh9KK6qAhTPU+HIn4/5m0QIIW40vWphOZneiT3JT6MsZLaJ53EU1ogPS2mhTlmJ48qUl0wmMwckN5OOGQYdZnFy4gnByQcwIcnJxefFzcsOWQBTHyQ1b5xuID7u5ge7krmNkDIOR6zdE+WVyfZ1cv0yuk6NGJtdsp0MmF/l4xEvANEbboOka2jK5JurNdlax0hUwVBWwy4gfJ5c3nn00voPiUH8zv767chkXSWcxUIuTGJfIMJxcLa7ASzrwmeJoN8tCoBkjMeMKW1Jz1GvXcodQAs40Zxdz4gXOJCiukFR1gOtMcOEHlcTkFvMXEMRH+KVjV7fR9FafwfTe4D70+tBUGXRFoSWDrqjMpKgLL/eMtl/tah75EoXD5ww/asBdeCV9c3MDOl3YhD7Lb6227s0s7o60LOX0me1mWEwCNswvi3sxowpw/rwWzu52lmCA0Hm8zVTPGt/jmWl0KieVPp/WMsrGXXilm42LrXyHqgAX0EZV+Pbc70JXwno+q7LGrEB0GFtgOjs3SaGoEEXZP7CfdoHB0zeWmDAw3eLgqApqhVs6i6UEAk4UxyCZTWc5NQq12IlfnS/HhyFy4osPY3gqXFK0AYqRFXB+YbPUXmQF5cDzIgij0hcRoq9vaEqf5bfWFgX39h5Cu7qNpuc7RXmsGKZQvzyvfpRRbZZ2xNp2ZrqGfEHQvIzwRrrb2Tb/yhbT6fE2U2lTyiQ1VO3tPYQODOqrONSfT2tJpwubqDNyVS47eD6NXBIQJwm9eGaWdJTAyUVcwWQXcycXxBmbu26jXdicXPydiDPhTu7QKrNU0yMuHWh5XH71TC0+wp1c0Ej2ZbWUQVcUWjLoispMGHSPPZ+qt5th435dJbrwkIOVWlyNvru9ttq6/yy/tfaUvX9gP3ojPUMtJaEkAE7fCudLFYNQWGxYWUYVTBf3d46LYUYVzBrfY2O60scT29Nn+a2jWU4A6s08Ls9zoinL0nJm4qf8tvOtfFw25OLJOxAdhmpYx3kCigpRlDd7DaVXe4yk5ztl019SJ7qWzlDPDBwVigWCls7ClkDY3EH+Rc0LBmbWdtf54ssaDiHa6vb1HUQHM9LD4cMscRONkcuWBsPiw1yMXB4zYW6hK5NrIt8c9/1UTqork/t8p2x6pv1EdekMyuRmVJ2tZXK5a4iz8hpyY6Er8OdxfhmxcXLNxrPThU3Ucuf5+xIiZ4RIEKtcxkVEiwPF0HimObmMShPGybUtBHotnplO7tx6haGdXK8h1+bk8pw0dhNwQcz34Bavb53vio/g0nEqJ5XezW0ig64otGTQFZWZVDPa002iX6B4wl7pLLbckxhtwJrVjD6f1pJO5aTSiawudDAjXQ1Afllcr5iCFzaMLyfF6uKarVhYtMDzHNwkuBe2hTO4uI9cU6BcpW0dx9GOtCzakz5MORlFI7ur51OFnbqzVmQ44g4gFpZ2NtOpCkdHWvmqYfFTruduRBVYVbPCw4VBhznUDEQVjo7qRh8M7aWiCjvSstT5greKqIKZs8bTd2lFFWyFHuZ5moSMhQ0jZAWgkLzyuKHwYU9eHiErOGfowlM5A1SYIgjfhUGWx4UDr7mFT1eLxIgeikRMkJMH8u1kdic6MqIHvTOgP73Za6gWL1nfOl8xcvkwBRIGPotepR1BjFybk8tjJSbLeGbt6OuJ2Ui3uV0ube+crc4JLGoseJ65sZH6rGlOLs5od7J+kTTa6PwuIZ5OLqNelKaTu751vquFrrScXLCLbWfSr/JM5eTm1CjU4iP80oGWRywC7u09RONKf1FwDR2aUU8GXVFoyaArKjNh0D35WB13uxnPad7UkL6a1Yw+ndqGTuWkqqwmvkx3dRut+KlPpUymda2u07K4dyVFnD4wVOEcjWVRBVsWN2z5A/+CLU5UgTt/fOEMUYXnOo5X7p9njS/DTp1fwRxAw8VFE5PmAnq0nIUdcr34uOrLeG+nUOgwXg17bExXen9Ib3q7/0B67doRGhYO58uJGfzpm+OoSrp0ZuZx+cY+3EGe85xtVMWuCFHny9vq/PBh3CX0YuTG2namLQyabGPETMwiiFWs0vfmBvT1DU015NuBQX3pjfQM2tVttCKdIB+/zMG93ZF0g3pVQbxkpEFXsJEw/IbcsHQF3rB1B8P1PXJNgTZUheXkKifXPCPQL2JYDPTMS6NAx3DZS8PJxZCLz1JpObl8yI3Fyb27kZ1bzJ3co6O60UfjO6hLR9GcmjLoikJLBl1RmUkNuv8nIeLurWQD7oK6EW6q4xR5LZvtSMuiLak5auseWdylTWapp2yvmAKyuCXFhnEX16x+7c0WXzKrFaqnbTRj3eL8xQ7nj7u4W1JzaEdaFr3aY6Ry/4JqfF1sXMPFVVQFOEylSVVgrUzadj5QR09XC0SHcWrGG+kZynn6S+pE9bzKz/eWq9xRBXNgijWq4JXxhDOP6MmYavamM1xY8ARuq/NFrtqMnOAZ3BMftv9a/QxjvKQEbu+zs7vwSssIWcEsgnDcwrNzkxTS73hmmrYoiIz8huQ8WmfES3iGmpMwBjjNdIgMhWHkerVrcddwsBEr4SxjXEaAeUMj3as9RtK+voOstcvKyTXKOlxnFGOcJIyTCyqNp5NrlHSEcXLBELc5uWAXX2wnd3ad6CLg/c0inx0463gB4Ug3OLl4xTp2R4IMuqLQkkFXVGZSg+7vL3O1m525sVGk3WxyW+XwASu1J30YvdJ9FD3fKbLBvSE5T3t+W9w4MgTNd7K402vpTh+es0uSxTWJCqURVTBd3B1pWaoCFlxVHlXwrfF9tm6E3YmcIFxcXgDh05Rlqxz1KxLw4uOqkg8THcZa7ICGQ8EHd+pRQ4pyjwdZc9Z8Y+mMI+FwtsVdOvMqgcCXNCgZYK8i53k32xBHwQDOck/6MGsel3OOA/FhjktoK/GIBR+mufDGwqCLrPB0Nc8iCFxO8MLCkW8gK6xsMV0jK8wxLiY2prEXk9UkK5hMVnOTH2xqnNUso5WOc1mfaT9RXSzBMg7FycVnzeAYa5+zkji5LC+thtxXWrrrli0lHccz0wKdXAy5peHkmkOuzV3nTu6UKyJD7rz6Ou1iXavrVEsghlwg3VyLgIur0Yl7LpNBVxRaMuiKykxqGe2OBG3A/Wpmc/UUipxmcZbN+FM20FI8plCSLK7XgItnOV79mlMjOhAVOsgcPG0vd75o+ZLSzrTMcNiwoBpfk40L7FSMVAVPF5fhp/hzt6JnsO18xVn1WDhDyxlYq3DqEUV52Cn3uKdx9EsZ5wveKqIKJvO4JFEFEx0GJBVvOpt/ld50trrlNHqMETJe6T5KLTPZ8rjf3V5bH54Y41hr0irKiDyDfzotdB43lqUzFTPhZxdQBIHP51t9BtNr147Q2um4+w6ywixLhjosPsyr7Yyfl22T3zyru5LcLGNcRt5Iz9AIGJ/kpkRaBW9qGM1Nr2SvJgzxxivvGrlXAAAgAElEQVSz+Rn5ObnmJVKRL4Ka6J6tq/YZbGg3XtLhVwaxiGHdSsPJtdEVTCcXfydiAZc7uZx2gYw0nHV+6VCfGyfic/KBijLoikJLBl1RmUnhxeYm0jfz6/u2m72RnkEvdR1D2ztHtrc3ts1Tf2Hf3+x6WuJkcfGUzbO4+EJFXpM7fbFU+PotnGEDnxcG4Es2bFQBC2dwcc2owhcF10S38X1qfDXslOPilnpUwaAqaEUfoGc8U1MblMKgw7BUiGdvVMPe3yz6vIooCj9ffDHzp2/OPA6zdGYrgeAZT5wpOJ9worg7iPPc3C5XbYjDjfLK46qFptWMjgF8mK3O96ubPM8wTNuZ2aj1XVGGWhhUmU+cnVEEgc8oiCdwC3E5+UtqFPkG931hw8iQyxcFx1Z3X0zM+uUwjFzu5CIuZOY/4RrOracvCHKWMWIlwPXxRSdzqFKXSpuT67HcGTNCzLyE4AKJFxIPJ/fLGS2sTi5eRngZhIkQKwsnd2QIJxe0CzMjjXIOG9Lt5MNVZNAVhZYMuqIyEwbdD667ir4ouEYNPsiUvd1/IO3uOTxw2QxZ3Dl1owNQGGRYcbO4/Embu7hw/Hh2E9Wv86+KfMkubjxLbRPjaRu5wNeuHaG5uGg4C4UNs9T42ti4xV04c4Hq/agKvADCiaR8v/BKxVm1LZzhyZuzVh+5poBWsCiK2XKGZUK+cMabs8JGULyiCjZ0GI8q3GZEFeAO4jxxYflgaC/lRmGZCXncH39fJXKW6ytF4h0ez+BmiUcQGcNz6cxYGNSWzuAUImbyEFs6cxoIP53aRi2dvTe4j+YWcnwYb6fjZIVx1YuHDwtbBGG2ayH/eYvz+TNjJWAZo1kQF0vuuKvP3EpW1rGtvjfizXDbg5xcW8GKy8nlDYI8L82cXF63zM8GC4FeTi7fXSipk8sNAK+cNJxcfiZooONOLmgXyEgjPuK6dDx5OZ18rI4MuqLQkkFXVGbCoHsgp6mq78UXKJqUgCcCN3Wdk/kzs7jI/U25IvqUzdvNTBc3Fi6uX/kDHCQ4fmZUAe0+CxsGRxVMF/fjie3pi4JrtKiCGozgKhlcVYU0stT4xrKwZBZAqKUlhp8KRVVwWpmwnQ9yBn/y5uiwze1y1bCEQgFUw/KWs3HV3eeLgSmWC4zX0plXCQR35sH5RIMW3EHkPPf1HaSwVMgVWvO45vLg7mR7na+lSStmfJhlsclKVmCNWrwIAnGiA4P60lt9Brty1LicmGQFfC45ys9W6WtbPAti5Jrnxdu1gHrjrXSPsgVB0Ez2D+xHBzPSVayELzqpoQqXEZ6bRqMgc3LDtAmGiZNolxA4uc6Qq+WlnX0GOLl4BfNycs1aXwy5peHk8lcuk3gxPlF3cvF3Im+g49xiOLm4IPKaZRPpduLJRjLoikJLBl1RmQmD7v8Mb0tHRvSg94f0VoPPzrRMer5T5C9pPGHbBlxz2SyovrckMYUwRAVA6Gez7CbalrCFj4EI28R7ew+hdwb011xcreEsCBvmDEbn3u/reuL2Y+MGLZxpbFzWlPX94cGBVAWtSOCmhiqSErRwts6phV3GGuyAhcurqRcKmC1nFyOqYDqD5iITj57wqMI7A/rTkRE96ERWF42QYc3joq3OqYq1DU+xlkB41vnypTNnYdCrzhcxk69mNVNxooMZ6bR/YD/akz5MLZ0B+cbdQuTk+aIg3PfeRj6+uG1n4BmnG6g3fAZ5pS/yn7xCFrgqLDl9OK6jGqhctcvrK0U/c3ByeW6ala34ue2BTq5ZsAInFxfI1YaTa5R0mE6ueTa2qmV8nkrDyfUjXgQ5uWatL9oev5zRwr0IuE6/dBx7to0MuqLQkkFXVGbCoPvqgE5afS+YqbyxZ6WzjLS4cWSxZT7DSmEAMrO4eMpG9s8cgkqj/IFncb2iCitY9atfVMFcOFNRBRQH+EUVOFfVWISxubihqAqMjWtbWvKkKqAS1qEqwG1CyQcWC/mTN875IQdDxYcl7tTzljMz2xnLkBu0dOZVAoGls/ubXa+WzrAdjlpmuIM4T7XM5JXHNZ7BsdDkhw8Lk6n2cuJdQxTqth0X3lwYRKSIX1Be6jpGFUGgvIPnqHE54cg3W3EHLp4lYeQOYJ9DnBdeUni7FvKfWztMUGeFzx5oJhhyv194pR4rebqa92XEkpuO2cnFZ8yMk1jwbup8HCcXeWm8hMHJRQQoyMnln6eSOrnmZdF0cnlOmrvrOBM4uUdG9NC5xQvq0rlFNaJFOEbN8tEXO8ugKwotGXRFZSYMuv/dvbcqBXiu43g1+DzquHtBy2bI4g6sfL2Wxe2QMCnm+t4wWVxOVEBuEw4SlpPuaRxxkXh2E4UB2MLfP7Cf4qmeyknVXdyFV6qGMw0btq2+HRtmGYzCfOnGysbVNr8NqsKFBytFvoSdAoivZjVT9AxeCcsXzja2zXM1ZvEN/evY8pJXy5kXb9XLxQ0bVchjxQKoiMVTK19k8ooqoMxDiyrY8rhG05ly5I3FwTB5XG1znz+Fw4n3Wzqz1PnyxSaUd2DpbGPbPHU54fgw5Kg5WQGLgtx9D1o6Mxm5Xo4hiiDyjCII3q7F287gGqJC1oWrQqXvar12WSNgWMo6wji5QW102ksJnNwnKkdeSXCBNOqWEffiJR1wck20G5xcvIwMNaJdJXVyTc40nNxZlpw0d9fNM1FOrsMt1pxcLAKy+MiRv/eTQVcUWjLoispMGHT/q9NAV30vmKmo770rKbqMhOdQOHzY3u6dMF3LanKXj3+hFgcbxrO4PKpg5jbvYo4fLwwIE1UwF85cUQWgjGxRBf7EHYKN60tV8GLjOnxV5eIGUBVQCVs0srvKdPLt/I1t8xRnFeiwuyxVvvwiU5KWMz8+rrl0hnPlrXXLDCTVltQc2t45m167doTirqJB69OpbSLniSdwvsxk5HGtTWfFrPN15T15m9a7vfQ8tXNJubAq4hRyFx5kBbQQhi2C4DlqP7JCLJW+JiPXdAzHOkNugVHasazp9fTINQVauxYumdw1VGfFCzvAMjZiJS4CRgy5aS8nly8GuhjGT1S24t34+cDJRQxoU8okzWU3nVyYA2ZWujScXH75MNnFQU7ugUF9rU6uGnLxCsKcXOwkHH5jmAy6otCSQVdUZsKgu77tCPXMtpo9X4OZOq9+tBiAL5tlBCybBdX32oYgM4vL6145UQFfrHMMF3cZW04ChH5750geEIxOFAbgS/brG5pGFl+Yi/vTavZk6mDDeMOZCxvmUwEbZsDVsFMcG2Zj4yIv6ENV4PgpXiQQtHDGCyDGWQogitNyVpKoAsdR8aHJL6qgNWg5ZR4/rXbyuECHsSfwME1noUsgTLICXzrbnRxdOkOeeqV7YdCs8+XP4ebS2eLGs9TlhCPfzBw1JyvEig/zY+TiUhJUBGFrOzNdQxUrWcNYxrbaZfComZOL3HRoJ9cSJ0EbnVrq5E6usxTIq9DNumWel+ZOLgwCLyeXZ6VL6uRmsJcuLyd3fet8V06aO7mo9XU10DGkGyJb+Hvw4NsTZNAVhZYMuqIyEwbdVa2ytPre37FFpJvqzVEu0aSa0c1tLE+EyeKGjSp4lT8MrBxc/oCygJUONgyOnxlVOJiRTieyuqiowtc3NFVRBZeLa0YVWHGAK6pQyjW+Ydi42Pz2oyrACQQ9A449Sj5MdNh0ds68ppkvnYVpObNlO23LhF5LZ/ONUg+01oF3vDMtU11clDPvbOsr1vHianR+uWWB0MzjeuDDwtb5anlcD3yYVhn7dDWFDzt/XwJ9v/BK+mZ+ffpqVjP6LL81fTiuo4ttvL1ztlbDvJwVQcy/KhozwSXU5hb6kRVMt5B/JvmZ2Ri5cN5vb1CoFj95acfznbKtbWfcNdTOil9IDJaxHwHDLxrk+qzxM7K10XEn14mTnC5sovBux8Z0pQOD+tLe3kNoV7fRCstnc3Lx96eXk+u1EFgcJ5fHuWxO7pqW05ST+1LXMSonzd31Mzc2om9vrRe99K9lTi6L+ii6zCdT6OC702TQFYWWDLqiMhMG3aXNJrgGXDxfX3elHlMIs2xW3CwuXCO+5ILMph9RYZmz7PJoq+voieQpqhELjt/b/QfS+0N669nNmc3pm5sbRLfwlzMXd3Oif8OZBRuGAbdE2DAvNi6+fOHiOnzVWKgKz7SPFgk8xCIp5sIZXyrkBRC/RFSBLzEBR+UXVVDb+py7uraiHlUw8rglaTpz5XEdN55nqrW8Jxisa1iemrfU5abQiawuqmobLnyYpbM8djkZ7OEW2tz3MPgwTlawMXK58/6QUQSxIy2LXrt2RHDb2UPGWTks4x/3pbkvIzEWQdgWA9UZvdtLd3KdNjpelf3N/Pr01czm9OnUNurzdWBQX9qTPkw5uba6ZZR0cJfd5uSa+wuxOrl9EmZoWDfTyf2d4eRu6zjO5eR+NL6Dt5PLK809yjkOHrpRBl1RaMmgKyozYdC9u3Gutb6XLyJx/iZfRoJTFIuLi4UkryyuDRuGQSio/AFRhV3dRtObvYZqUYWPJ7a3RhXUFr7p4sYQVQjjKvlGFbgDaGPjPnl5lN8JvirLc/pRFeAEPmpkOm+zDEpmla8XhiqWKEoYPu6sOvrSGRYJzVIPgOwPDOqrIan4EqHGOuZLZ1553GLgw3jW85tvFyk33hcfxosGllbV8tS4pBwe3pPe7j+Q3kjPUMuhm9vl0vrW+fTINQWBRRCImfiRFYIqfbn7HoaRCxLGCsd5fyJ5irqU8NIOtJ1pxQMc9cbbzmwXEnzuAmIl1lcTo2zFdUbPN4hcRIzFwG/m16fThU1UnOTw8J7KyUXBCr+ELLPkpbmTiwhQLItnfk4u9hbMuEIsTu5H4zuonLRycpd7nwl3cvGidejILTLoikJLBl1RmQmD7i0NJgcSFfgTtunw2bKafi1YcIzgTPAmrH6VZ2qZzYk15qhBCG1YXuUP+HJ9tcdIVfuKqAKafXyjCgYb1xpV8Bhy/fKB/EtXG46MnKAWVXilZfTL1+Gr8jwuKps/n9aSPslNoeOZaWpIAn4KHOQnkqdoy4V3W5zccdXtVb6dE6Z4LhUGocP4kOvl5OZfGfn3zVw6M51cVMRyJ9dEUrmcXAdmbw5O5jITnNzvfrg/tJNrq/MNiw/jlbFfzWxuZeTy7X1ETZZbiiDyaupFECVtOwuTycUwhXjJPY1nK6YxXlRwKeEkDOQ/XRWyq91P4yWhK/CXk5gbz1jl8rcL6mpNgkdHdVNxkld7jKTnO2WrNrpHrilQC523OFl3NAiiDMKWl/aLK/DzMV12G0KMxxVub1Co4lz88vFil7HqlQuc6U+nttHpJMsd0oyD3+Nn4pWTPnJ0oQy6otCSQVdUZsKge33dqcrZ86rvtT1hxzLgml+kJcni3t8sss1tIyrsSR9G7wzor7BhsUQV8LQNFzfWqELQEow1x8mjCtwBNNm49yWorXzwO8FX9aIq4Dn1YUZVwHIhMp24zGRYIimxoMO4U286gubSGUoFsHQGhx5LZ6udL+bN7XIV+gglEPzigkUmhaQCCs4sgUBjnfMEfvbTaZo7GHZj3wtNxfmrgfgwtrkPfBhvqdvdczi92GUsbUnNoSeSp6jncM425guDZg0zKraDyApelb5tK49XF5OwjNwHjfrlHWlZtCd9GO3rO0jLT385o0WEkcvbztZZ2s48XMNYnFxrbbbjtp97v2/ks4bKbObkqsplthj44biOdHh4T62oA3GS9a3zVcEKd3L5Z2uo4bJ7nU1JMrnm5cN0ctFCZ7KLPZ3cJyprERLNXbecSdGJxTLoikJLBl1RmQmD7tRa+YFEBXyBmsNP2Gds/kUKTBGeRXmF79jqkfIHOH3Aht3daLZ6Hn3kmgLFgDTLH4ANQ1SBNy2pPCBcpCcq+7NxjagCd/68BqNAF9dYVjJrfDUHcG3FyFY+z+MyFxdfwGhjerXHSNreOZu2pOYo/BQ4yIsauSthbZxVvyrfIKfexj7mWDjwVnm+8xa2dLaCLZ0hZ41FQnw5+y6drXYvnZ3f0y6QrBALPszTIeSRk13NrfiwH+5JpO9ur63hw8IwctFSB0QVFgbHWdjGsbadFSeTy7OfD/pkct8f0lu/lPDSjocM193AVSnX0LIg6PV64le4ErbxDJdJVC7zxUBe1MHjJMuMSwicXHy2iuvk2s4myMnli7leTu7h4T2jTu7M5m4n11kGtL2E2Nz1cxdW0tGTS2XQFYWWDLqiMhMG3bGJ+WrA9arvLemAyzmciCn4cXFtWVyTqLC9s5uocHRUNzqVk0r/zEumr2Y1i2RxGWZK1Yk62U3fhTP2tB224cxz4Yy7f14FEM/WjQxH6yODONidNjYudwHBVwUH+TEfqgKWC8da0GHFrfK1ocO6JeSrcg9+vrFGFcxFQmtUgQ9N/PkblxajljlMtjrmOl8wjs065gB8GK+MRUudiX7D+XG2sTlEcSKGzYE3nUK/Sl+476MYI3e6DyN3Y9s8jYSB+uWT2Z3UMIW4kCrtQB7ecN21C6ZzIeGXy6DFM+2ceG4aLGrTbV8fqczmTi4qlz8c15EOZqSrxcCdaZm0JTVHlaw8ZDCMOfkCDYJeTq7tbErDycXimc3J3T+wn7+Tuybq5P70QkN98Qw5aQ93/fg/7pNBVxRaMuiKykwYdEdUmxqIDOPb9sV1cfFFiuUWuBLFyeLuSMtS5Q/7B/ajIyN62BvO0OpjRhWcZh/fhTMWVQhb48tdXGtUgRdAmDW+T1eLbHyvimKNvru9tpbl/HBcRzUg7es7SDXageHJl5aWMPwULxLglbBmpjMMH9e2vGQrFDCjKHzpDM1Z9ze7Xl1gsHS2Iy1LW2LiOCrX0hmevzdUiX5BG/nqkpIVrIQMm0MIfBgiJz74sKOjuml4Kj9G7nzLc7hXEUTYtjNs8NsqffG6Mq56lHQyp25kUfBudmZ4VcEwtbvncBUvOZndiT6Z3FZdNrX8NEo7UMDCXXeehY+RruA6JyM3HZaT+1l+axUJAr0Ei4Eb20ZeSh5mcZL5zMnFJcRkGHOX3WvILYmTay6ehXFyUY5jOrm4/LuWAX1y0ic+fEAGXVFoyaArKjNh0O1fOU9l/Dh3Ew5ESWIK5sY9jynEksXF0+iLXca6MpucqPDVzOZ0dm5SJLe5uFrEQVrFvlwdx+/CKy31wgBkzywubiw1vrZnU+7iqiWYPe08a3yxrBTExt3VbbRyAcFXBSbOi6rAiwSQu+YubqsqWTFRFcwnb768hHIPDEs4X1xgwkQVPhzXMTIwOTgqFVVARez6SvoSIYYmnvGMMY8bGFXwq/P1wId9OaMFfZKbopbOOD6MFw1ggLqncSSqEMvSGT87vzwuzo4vndncQrjv8+rry02rnTNDpfaubqPVhdMkYVifxZGfdj6DtrYzrwuJbci1NtJ9Ok1vpOPntDkx4ravirrtqMzGGQHxhosk4iRY6vxd0+vVJWSW47TDyTXJFxfTyfVCiAU5uaqFzsPJ5Vg3M9Nuu/TLoCuKRTLoispMGHR7xk/yRYaFLQbwyuL2SJimbdzjSTRsFpfjpUBUODCor5WoYDacXVjFnkk5Zsr5gvVbOPNzcfmA6xlVYIMRXFwVVUBDFq/xXRGp8f3+zlqRJ9SZzZUDiKpRZDl3pmUqSD2nKnBMHG+zA1UBiLh0NuRytykWPm4QOgyuUwGLouB8zaUzIOG4Q38iqwv9My+ZvpzRInp5CVo640+tloxnmDxumOHJlcd1HEKFDzPqmL3wYWEYufmW53COqApTBGEjYpgs1qGGW4jP5R0OWQEov8fbTNXOjF9MXPGSRTUizvsq41LCSjtANeGuexDqLYiAoV1GgOrDpdKHk3syu5PiUL+RnqEiQWbl8t2Ok4vGM9PJxSUkjJNrDrleLnsYJxdDbnGdXFXQYcO6+VSby6ArikUy6IrKTBh0O8fnaE/XtqGnOAOuX0wh/8po7s+Li+uVxQVRAZ3sX81qpogKcCkurGRZ3C216afnG6gsrnL8+JMcY6nG6uLanD88m7pcXB9sGJ5Pv76hqZWNuyd9mMbG3dg2T9vKB1Vhbr1CNSCZT922C02QY+9HVQjTcja3XqE2LOHZe2PbPHqu43htS9+MKsB9UgNTMaMKfs/fYQoGNAQcz1Ubedzzy/WFJqCpcFHZ13eQRsbgJR64pGCAwlJTcZfO+JBrOzvTgc+sFrl8mrlPuO8oZMEghXiJHz5M1S+bqCrbMMXazvzwYZ6XEYOAoT5zuFTCyV1pQbyxsg5zMXBDcp5qjeRxEpuTi9iXzck1z8Z2CSmpk4syiGI5ueBMm05uwI7Chf9dLxldUUySQVdUZsKg2y5+bMzIMNsTtpnF7c0cPr5xj7+ssdwSSxZXbd7npkQHISwmmVlc1rIUJqrgRVQIHVXgzp9t4WxX88iQy5+4jRrf04VNFHbq2JiudDAjXTmAJhv3UYeqsMyobPajKtiKBMJeaMzLjA0dxjFUKBTg1bCIomxKmURbO0xwLZ3xnPXXNzSNPn1jiclr6cx8/i5GCYQ1emKWefDYiSWPy+kYQfiwDcl5rhKPW4w8tYkPM4eo4pIVbEUQyFHPZhv8ixtH3fcNyXmKkftqj5G0r+8gVzudWnC6JzEaL/lzfORih8umeSlxPoPcMbSdl+2zp5xc9rkDAUMNuc83iObfVxq56ZnN6Z95yZrbjuXOrR0mqDNawSqXsdiJiyTiQDxOEtbJtZ2Pl5OLjLufk4sht1SdXJ/LP85DqAuiWCSDrqjMhEG3VfyoUAOuV0bTa9kMT6Fj2YDLN+45CsfGxfXL4qqYgoMrUs/Z4HL+9crIX+DGk7ZC5MDx88mdeUUVtIGIP207G96+5Q9e2DBLjS/g9K90H0Uvdhmrubi8QOCuJJ2qMMmHqlDchTNbAQSvaeaDEp68sby0lH0hY1gyowpFI7vTyexOrqiCas5a8wtEFXidr1kV65HHReQEz+Ammgpxk8edkoEV7Azn1itUlxQ+QA0owdKZjayAKBGWBbkDX8gWQZc11dvp4L6/kZ6hDVKcaazwYQ9WipwZLiWsfll7TQnIfnqdlckyVpcRRsBQjXRPV4u2CjrRILCoP57YXiHe4La/2GUsPdN+orYYyIs68FrC2+hMhjE/nyAnl3+2uJM71HByOdptmU+tb0mdXHMZ0IsZzv8+LDq2SAZdUWjJoCsqM2HQvTohI9SymS3nx5+w4ULYlpHwFzWesRc5A9CDzWf4cnG9sriKqMDbzfywYcWIKpi/Yo0q/PhmqtvFXRd1/2w1vlhWOjCoL72RnqEamFAgsI65uIsbRx0moI3gAg43OMixsHG9hlwzc23WNNvQYWCt4tkbC0w8a31kRA/X0pk2MLGnb8+lM2NoClsCwQcnW85TI2TwggGPPO5Xs5qpkoEjI3qoc/TDh+EMbXlcOPE2fFiQk8svoyYRw1YEUchy1EubzKKVLabToxbkGwpZTmR10Sp9v11QV6/0tQ1THs1aQW1nnkOu2Xa2/1o9VsIc9x9/X0VdRpCbPp6ZRgcz0mlf30Guso41HmfELyJ8MRBxEj+8m19cgZ/PUMPJne3j5Jq1vqXt5AYNuecurKTDRbfLoCsKLRl0RWUmDLqNEwaEGnD50GMOuLZls0k1I1/cs+voDt/vml5PK5wsLrKavL43TBZXiymsi8YUsM2tDULHx7iftH0WK4IGXG0gMp+2WfnDTy80dLm4Qdiw94f0pr29h6gvXZONu5zlBFHZPL2WnaqQbqEqxOri2gogkBvknNUCg328hF1i1rfOp83tctUXMjBU/Hy/KLgmElVYUDcaVVipX16KG1UIWmRylQsYUYUf30yNRhX4EziwVCyP+0luioqcgI6BhSbOX+UlEHOMEgig31DgUZKlM7POl+fl+dIZ8GFAvuGzuSllEj3fKZte6jpG1WrDfUd1LBZAf7z38mj9MmJDXiQMC481CB+mhlwjVqJYxrxZEJcRk4BxYyNV1oHc9Ft9BtMr3UcpxBuvXOaLgfyMRlna6EyGsRc+jF9C2lTO1v4e5U4u8tJhndwDg/rS0VHdSs3JtRV0eMVHDh2eJ4OuKLRk0BWVmTDoNkzo5zv02J6vzXpXPGFj235SzegyEnKacPgecjJ/+CIFO/XVHiNdXFwzi+tqNzOICtYsbgzlD15DbrGjCszFVVGFBXVVVMGvxndLag49lTJZYafubxZ1cedfpVfB4ssXLiDa7MwFw1gQcfxCw/FwcJts6DBbyxm+kHemZaqlM0RRcL5nbmyksp1qS59dYNCcFXbpLKYSCPMJnLuD5jKTUzDglcfFQhMvGdjaYYJ2jiY+bLpxhuZSE3fizfOzbe6bLryNrMAvKGYRBMo7NqVMouc6jqdd3UZry03KfWeFLFql74Yq0YuJWToQYpgKhXqzLQii7QyXS2fI/XFpVeW4f1FwjbqMIDf92rUjaHvnbPpLahTTBycXy53THXoJMtND2Rl5Obl+Q64tToLzGXW5npeeV193cuGy25xcDLll5eTiTA6+N0MGXVFoyaArKjNh0L2qci/PARfOkOns8SdQDLgYfApqRZYm5tWPPGHzmMJqNvxge/uV7qOs9b2+WVxOVGAxBWQAtSwuc494I5bNqbD9Za5V+PItfKf6FQij839vHXGTnq0bfTI1XFye4QQ2DBWw4Ko+13E8bW6Xq564sQgDNm6hgZ2yURX4Vr5XnpP/4ufNCyB4JIVHFfh2Pl84s7Wcbe+cTa9dO4L29h5C7w3uQ0dG9FAYKpcjiGwnogr4UsblpQR8XDOqoC4trFzALPNQOc8NVaKEjKVVtTwuv6zwOubnO+nDE87RVgIxtrp3CQQ290tS5zvAODu+2ISlMyD9OPLtle6j6K0+g+nAoL6qnU4tCi6o68aHbU504cNQBBFU2uFXBOFycs2z4rGSP0deenAZQe0yCMtQsoUAACAASURBVBhmWQfPTT9sIN7wYoJIEP+cmU4uZxiHdXL5UqBJvrA5uYh4wWU3nVxQL8rCyVVn8vXNdPCdXBl0RaElg66ozGQbdL3qezkvFTipgWwRiTNTsW1/l5PFxV/Sj7a6TpUDPNdxvMri4i/rw8N70snsTvTxxPbqKdszi7s5Mer0OZvcxcWGhcrixhpVWBetFuUuLjKcH43vQEUju9P7Q3qrbXxe48uXlVADa7q4OTUKFbtzAPvy9aMqeEVTvJrsOFUBmU7g4bzQYeby0qs9RqphCYUCynW6uYF+vsh28i19PjCVYOnMM19tWTpzuYN8mWnhldGCASd2cnh4T+XIY3nwmfZRNBUYx2Yd86Sac1T19gBjgLI58X5FECY+zEZWwNnxIggQMfDKgvIO5KjfG9zHRVZQgxRoGKCcbKtPF3Y2c1X6qgtniHiJFfX23WJrK512VsjBr45kp4F5O3NTQ/p8WkuNgLG39xDtMoJLJV5NTLed0y/4ZdK2GBjGyeVxEh75sjm5Zl56a4cJymVHxt2s9S0rJxdncmhvpgy6otCSQVdUZuKDrteA275yrouXygfccc4TKJZZ+LLZMmcRaY3zBYqc5s60TPUlun9gP7VsptX3YgDyyOLaYgoqs8ldXMblDIoqeGZxjWdt1baEL1ksvjhP2z+tjri4WFLiLm4YbBi4qkubzKJFTo7TxsY1sVMmVSGWNjvzQsPpGWYBBDKd2M73WjgD+xgb+oiifD6tpRZVUO11Zj3z7mR3DWlpRBVMdJjjzGvREzSd4TzvS6AfFldTUQWvPC4ceV7HjMVBzjieckXJSyDCLJ3xOt+JNaIxE17egcUmtA/uSMtyId98yQoh8WFB9cu++DBzQdDWSrc+erk8t6iGahZE6YpJwDDLOnhuurCujnjDZRJnVFpOLl8KzKlRqOJetzn7DMua6nXLvImOu+wav3hxtbJxcpm7fuTv/WTQFYWWDLqiMhMG3QaV+wYiw7DIAmeP1/fyL887nGdQ/AUNpNTmdrn0fKdsldOEw4cGLAxAJhfXK4vr2W5mYMOKE1WAW+EbVXgzNVRUgS+coTjAFlUIU+OLbW+wcfnCUnGpCubSEh9yOT0D298o+bjlqmgkJQgdxqkZX85oob6Qzy2qES33wPk6jqCqIeUxlBIunXmWQMCZ55QMp5b5wqpoCQSewEHIOJ6ZpgoGkMflwxNHwAFNZcOHYXEQFxVzqSkWfJiJfjPZxlgY9CqCQMzkrT6DtfIOTlZwDVIc+War9P3qJteFM+yQq87LdN35K4p5Vk7xylezmtFn+a3pVE6qFivhBAx+GeG5abyamG677TIZxsm1LQaaRR14JZlX302+wC4Db6KzObk4m4vu5Bo56aKXesigKwotGXRFZSZOXfBrNuNP1+aAO7tOdMDFshkG3CeSp9CmlEm0reM42pGWRbt7DtdymnzZDJWh1vpeCzLMM6ZQwgFXc5Dg4pqYqd3JkadSbOE/UZl+Ws22u52n7a9vaOpycfcP7KdwU3g25dgw5APvcLiqs+tEK0ZNFzedYaeKS1WwxVL4Zv7Y6u4CCJ7pfJi5TV4LZx+N7xClZsyvH8njYnlpbcVoy5ktqvDhBH1LvyRRBbPQA2fqF1VYWlWVeXx9Q1MVOzkyooc1j7uxbZ7myKPpDJGTSTVjK4Eo6dKZrc53kUM+4UtnfLEJl5OT2Z0U8k3LUT+kkxUuBj7Mqwji3Lu9vNvOnLNSsZLcFFel7860TCsBg5d1XMdeTfhyJ3fbwzi5/LWEx0lMvBuPfMHJvb9Z1MkF+WJXt9FaXpo30blc9jJycvEZOvZsGxl0RaElg66ozIRBt2nCkEBkGMDycB6mGzgp1PeudL488YS9reM42tVtNO3uOZze7j+Q3hvch46O6hb5Es1NiWKlbq2nBiCVxf1zvP6UzbK43xVlWNvNipPF9SQqOFnc4kYVPstv7XJxEVXY3jlbZTgxGPFtfDOqMNaogS3NAgheB2ujKhSwCw0v+VjNIinPdRzviQ7DUqFy6pdWjQxLvFCARVHOvdtLz3ayL+USLZ1haDqZredxsXT2bN0oJcOpZVYNWrOaqQVCLDPZ8rjrjKaz29hCUyx1vkF5XNMlNCtjsRzKXXhOVrAVQfBGreOZafTJ5LZ6eYcXWSFEpW8sRRDKyUV+2okLqTx8iLYzFHZwlvGubqPVoicnYCxqNJtucS4jttw0d9t5PbqNkRvWyc2wFHWYDGOTfMGdXHyuVATIdNlL0cnV/n40nFxcFE9sbiaDrii0ZNAVlZkw6LaMH2EdcOHq8U1tPuDe5bi49zeLfHFiwMUyCwaffX0HqYUWuESu4ocY6nvDEBXCZnGtRAVkcW0Vvs/WjXyJ/DnypXJ+RXxkC9/5kgVP9VROKp3I6uJycdFw5ocNQwUs56oix8ldXNtwFAYb5lfjyzfzvQog8JzKM518O1/jrM5sTmdubBTJDt6TqDv12NB3ogpaex27wHg9exc7qsCLBWxRhRUsesIatEx02Etdx9DWDhO0PK7ZdDbbqGM2owphSiD8ls7gxHstneEp3Kzz5UtnoJ6YRAx1ObGRFZ6tG2XklgAf5snIDSqCMNvOFl5JZ25q6DorW6Uvv4yAgIHCFTM3zSuzbfSLME4uzojHSWx4N+7kPu44uYgBvdVnML03uI/m5Gp5aZvLjviPczbmpTEWTq4n8cLJSZ98rI4MuqLQkkFXVGbCoJscn+mLDMOX5qw6+hLSUqO+F4PP9s4R9M0b6Rm0r+8g+mBoLyoa2Z0+Gt8h2n51YyPFedSyuE9UjmY1/bK4HkSF4mRxvYgKnlEF4ItWxAdGFcyFsy2pOerL1iuqwGt8UR5gq/Hl7lKsVAW+YNgnYYZaWvKiKixiX8LrW+fThuQ8rcXODx2m5TqRt/ZqOfNwBIO29EMtnbESiPN72kVLIPjFZXnkTDnrGA1ah4f3VOfplcflLVqzjGfwktb52vBhtrwnWuqAfruDufBgGwcWQTgc1u8XXhkZcr3ICiErfb3OzK9pUC0JmqUdPm1n/8xLVmfFFwRxIXm01XW0ssV0LVZSWDcaDzIvI8i+m5GSWJ1cjngbaywGoqjDjJM813G8Wujk5AuNO43PFWui83XZi+Pk8jIVw8lFTvrk6moy6IpCSwZdUZkJg25qfLY28PBa17wALq5Z3+vVbqZymk7eTy0jAU+0lj25YQBysmX8KduMKpib96VZ/gA+54UdTaIuEosq/LC4mouqELRwhqjCSlYccHuDQtdgFFTjW9otZ3CZYuHjAh0Gx94LHQYnV11ksLzEhyXuCLJsZxBvtVhOrpnxDOHkHsxIp3cG9NfICpvb5SonF678XZZsNZYHzTrf4jJyvfBhHE/FGbn3NJ7tYuTyIgig/cwiCBUzWWkQT5zPJi4npVbp+81dkWEsTCZ3lSWT66De8IqCz15x6Aq4jHACRixDLm88s7ntvHIZQ+6DzqsY4iQ70zLpjfQMemdAf3UJQdb921vrRZc52eKZGnJt5Aufswm1eMYui1rk569X0skVlWTQFYWWDLqiMhMG3e7xuYHIMAy4S5pEwfJmfS/cB2Q0sYj06dQ2Kuv37YK60fYrLCPB4eNZXD7g+mRx+YAb5OK6Bly/8gc8k+LL1Ywq3FlLZTf9ogrmwllJogphXVw/qgIvgBhgLBj6URVWM3oGnlN5yQcynV8UXBPZzufoMLiBfKnQaDlzYeECHMHQrqC5SAhSBi+BWOleOvt0ahu1rY9aZjRobUnNoSeSp9CjRh73lqui7NUpV+hNZ3gGj7XO18SHYXGQl3gMN/KevGiAD1DchUfUBM/htiIIbYgyyAqcketV6evl5LoYuR4kjB/3pUWG3B1NtPw0PoO2trODGemKS42z4guCnGWMywgnYPBLJY8G2c7Iz8nlZR38jNAkyCuXlztLnajKhpNrMoyVk4sXEnCnnWVO3kRXqk4uMwFMJxcXxROLL5NBVxRaMuiKykwYdHsnTHZlcWfW1pFhflxcs74Xg4+13cxp67mwsmL0L+lnaiqHD7kyPgCp3J/zlB22wpcvJVmHXO7iGuUP6ssVCy+rvKMKp3JS6eiobp5sXO7i3t/seleGk0cVRhlRheLU+PpFFbxazpDHxRfw3cxl8uLj8pKPT3JTFGfVhQ4z+MfaRcbAUPlVNHu5uL5LZ2yRUJ0rr4jF8zdbOgN39eiobvTe4D6qlhn5aj+ywszaESzV+ES9KtaGgAtb5+uHD0PchJMxghi5+Ky+P6S3ZxHEj7+vEs3L45XFq+2sNDK5jmP43dGRMWVyv5rZnD7JTdHy069dO4J2pmWqswJd4XfFoCsU18nlbrt5RnPqRi+SiCtgMRDkEh4n+XBcR0WmUZcQvJA4f3/ic4UhV0PyldTJNS8fvDHwicr005qKdPyueBl0RaElg66ozIRBd2jVqYFMXD7gbkqZpJ6uX+k+ivb2HqLV9+KL86tZzejMTQ2ji0hw97C1zZeRmMOnZXGdAfditZv5EhUYNuzHey+POH7z69Ppwib0WX5r+iQ3ReUB3xnQn/b2HqItnG1sm+dycc2GMzh/WIDBs2lxanxtVAU/Ni628guMBUNOVYDLBPwU6BnvD+mtOYEaOgxuPc4ZF5ldzaNoOI+WszDVsPzZO6alM7jzvATCiCoASQVnfk/6MG1b34wq8NgJx8D5NZ3FsnQWCz6Mu4QcT8XRbyjw+GBoL41tbC2C2FBFETF45lO7nBSz0jeIkWsbprT89I2N6LP81qrtDK67Wb2MVjoeKzFZxvwygs8cKCZBTi4/J7N2GU4u6CU4I94kyOMkvI0Ol5CPJ7aPOLkOw/jHey/XnVyQL8ylwFJ0cjmGz8UudogXRTfVkEFXFFoy6IrKTBh0R1Wfqhw9PFubyDBwcfEXssnFPTy8p/ri1AYfRlS4sIq5e3+9UsvicidCw0qdWRBTFhdOUtgsrl/5A8eG2aIKKAyIhY2LqAJwU+MT3cUBtgrY4kQVUirnqMIPc8nQq+WMR1OwtOTFx8WXMJxALdO5NooO++n5Bm43EE/elqWzID5u0NKZcgXNpTOOo1quV8SaS2fgriLjuSllEj1ulEDY8rjIeZpVscXBh3nVMXN8GC6nHB/mxcgF+g3np1rqvIogQrad+ZV3+J4Ze1UB4UTLxXPnHYzqO2tp+enjmWn0/pDetK/vIOW68+rlFVfPpKVNZoWiK8DJLS5dwavxbBKjK9xyVRTx9sg1BbS+db5GqYGTi7y7K07CnVx2CXHFFUrRyVWsadvlw7ksHpop1AVReMmgKyozYdDNvSKfbqrnz8TlxQ/Ysj8wqK9nfa+qokS967pK0cHnhYahl83CZnF9B9ygLK6FqMA5qt/eWo++vqGpasQ6md2JDg/vSQcG9VWFAds7Z9PWDhPUUykGItPFxdM2bzgbwIYiZAPNdiw+GMVSAIHCD87G5VlOOPdLmsyyUhXQlMWpCmppaWZzOnNTQ+UEei2cuS4ylqiCjZhRoqgCb87665WRwWCN/vSNJSbOO35vcB81NO1Iy1LOPN/WB3eVN2ghdmJmq/2azmx1vk2rDHPlcW34MESMZrOlM5R4cJeQt9QdGNRXDVCeS2cMUcXP7vuDA/RXFuYUejm5Nvfd68xczXQgYTDnHa8pPD9ttp1x1x1tZ2ilM2MlJss4lrYzGwHDVrtslnWYi4HPtJ9IL3YZq8VJbG10ysk1GcaGk+uXcy+2k4uqZYuTi8jPu7lNZNAVhZYMuqIyEwbdabXz6XYPZNhTKZNV8YONi3siq4vi4pr1va52M/Ad0W7mfIGWRhaXc3G/Pfe72LK4FqIChqFvbm6gogpwkOD4vdlrKO3qNlqLKjzqRBWWNbUvnMUaVQhT4+tXAMELBMYaS4bz6kcvNmg5s1EVwMe1URW+u712lIG8xo4Oc1X5oqbZ4tQHocNsS2dor3PVMz/fIOo+rXUuL1gkZKQM29LZi13Gaii4B50GLWzrzzFKIPgCIcfAlUadL8eHoY4ZLzAmPiwsI/fLGS0UFcOzCMI8u2KSFbiTqz6TfFHQObMLr7SM4t6c2ND5FVHn/XRhE/p8Wkt1KeGlHds7R/Lwj7eZSo9cU6BVL8+rHy1fsS0I8la6ICfX5riH5eSCOc7P6PlO2WrIxWcMcSBUZWvUEouTqy4hIRoEi+PkqiHX4uSCHb4vq6UMuqLQkkFXVGbCoHtT/SlWJu4z7aNM3NeuHUH7+g5ShQAnsrqop08MuK76XmzaO/WuF15pqZipYZbNgrK4+Mva08UNyuJ6ERUcl+LMjY3o82kt6ZPJbelEVhc6MqIH7R/YTy0n7UjLoi2pOVphwHL2VHqLw+jkLi54qnjati0pxTLgBhVAYMnQj437ENvKx5lbqQp46gbDE/SMVcbCmUHOsFb5FqPlzDUssWfv7w8OiG7pB0QVThc2Ue68eXHBEiGiCiiBCIsOizWqEKbOdyAbnvhCE2/Ssi2dvXbtCJWnRksdKmP50pn6rLKls/N72vmend+yoHluVnyYjWmM2BDwYb+vQucW1dDqlz8c11G9pvD89KaUSZ5tZ2Yr3cAQLGO/pTPu5HICxmAjNz2rTmTINcs6NiS7zwiUGnzGrG10DrWEY/m0BsGAZc5iO7nb6ns6uV/OaEGfTG5Lu4d0kEFXFFoy6IrKTBh0FyRNVkzcxz2YuLbihy9ntKDThU3s9b1oUPJpN9O2ttkyUold3FiyuD5Ehc+ntdQ4qsWJKuBpGy4uhqI+CTM8owqxtJyZ1c1mAQSwU35sXN5yViyqAkOHqZIPTs4wMtd+bpMfOsyW7YTzpNrr+AVmfWRggvv07a31opcXhqOyLZ095iwy8RIInvE0Ly0YnLg7yDf2vfBhfnW+GHLD4MNAxgDq77VrR9BbfQbTB0N7qadwXjRw7u6akVjRSseFN4sgsDBoqWEOIiv4Id9U25nzsmJl5DrD1Lm7a9K3t9bTSBhFI7vT/oH9aG/vIdqlBIxc5OFvZ647R70NdD57tgVB22UkqJUO+feBhpM7vVbkQonPGpzcx9tMVaU6/Iyw2ImLCJxctRiIqmxbnMRyCSlVJxeLuRYn95PJbelkdifa1berDLqi0JJBV1RmwqB7b9McxcTFgMuZuNgA/nBcRzXwWAdcr/peHlPgz9cBy2Z+WVzXgHtmQWxZXBtRgcUUsH1/ZEQPem9wH/WkvSMti57rOJ6eSpmsHL8HHT7n3Sy7Ob1WxPUbn6gPRNju5g1n2PAubo2vyVXlhR9BbFxkOdGSFRNVYa2+tOS5cGbZzi92y5kxLLmiCn+9UkUVNOYxiyqczO5ERSO704FBfbWoAq+IfcgSVQiDDgtqOitOnS/oGBie8AzOF5rQpIUSiP0D+9HBjHR1SVF56oVX6lGToKUzI2YSC1nB5RayRUHXcpPDND6/It6KDwMJA/XLO9MyaUtqDj2VMpkedc7Lq+2MLwhyJ5ezjGPBh+EzxwkYvKyD56aXOMU63G3fmZZJr107Qi0Gohb9i4JrvJ1c4xLi5eT6VaBbz4a/jHg5uezyYTq5x8Z0pQ+G9qJt3frIoCsKLRl0RWUmDLoPtshWCKmdaZkuJq5Z/IBCgHOLakT+Qn6oYvRLE8gwW30v3whmWTI+/MTs4rIB6Oyn04qXxcUg5DhHICogqgBsGKIKT6VM1qIKS4yowvRa0YEIlaIDQkQVYnVxTffPVgCB51OwcZcFsHHf7j/QTlVA9hrnzakKLzTUHHut5KOYVb5e6DDXAhNfOnumZnTpzLnA8KUzNGfh8gJ33rZ0xp+//UogTO6qGT3xWzozl5m88rjFwYeZJR5qgMJSE5YGn6mpnZ+NbYw4UdDZhWKxgobBGblPXu5i5OJi8s+8ZBUbAgljZ1omPddxvMbIXWYwcnnb2cjLb3Ch3kyWcZCTa8P1wXEHAYNfRm5vUOiqXYbbvrvncHqrz+Ao/QJFKzbEmxP9Uk4uqrIDijpCObkGji8IIWZzcj8Y2ove7j+Q/qvTQBl0RaElg66ozIRB90/JI7UB18bE9Rxw8YX5dLXo07WzbHbu3V6Rv5SPj9E37UsYU1BuhCWmEGsW1yQqnMjqojKAb/UZrODzWztM0J60V1w9UwHo4fiBz8lZqgNZTMHWcBZr+YP5ZdvbqIAdnxhtXyp0wPR3JUWXDLEIw9m4PMvJF5bAQeZUBa0pCwxkbH5zxz6AnBGaqmC2nDkYKtew9HQ1LdvJowpYJERUYV/fQbQnfZhy58NGFUxn0C+PG6bpDEtnQMCZuWrkcWfViTKOlxrDEy4q4K/ypTOUtXxzc4PIZ5bnqXnUpBhLZ0H4ML50prmFaKeD+47PJBi5zpmZ+LC3+w/ULiXAhz3I2s6QnzYZuaVRBMEz8DYnF/l3LHjysg4sd+LFBG47p1+oxcDfV4k2CVriJMrJDUEtCY12C3By1eXD4uSCXfxY2+Ey6IpCSwZdUZkJg+6TqUOVywAm7snsThoTFwPPuUU19OIHuEK8+MGvvpctIpWWi4sBCAUBsWZx+SDEF5P4k/bGtnn0mMNRXeEMQ3gm5Y6fGVXg2LBYogpYUjKft7mLaxZA8KjCHKMhi2ewbWxcZDk9qQorvKkKymXijn0AOSMUVcHEUBnP3qq9zuEea9nOBXXVBYYzj9/uP5B29xxOL3UdQ1s7TPBcOuMVsV4lELY8bqxLZ2HqfOfVD48P401arrgJr2JG3tPGYA3JNg4zSPHLidZOB/fdISuguAOLgmAa84sJj5fw+mWTkWu2ndlQb/yswsYVkIEHyQSxEpOAsdRhUfPc9ItdxipiDXfbOf3ih8XVoq8lJuKNZaa5kxtkFrjqlsM6uVjiRFzBWQg0nVywi1e3HiODrii0ZNAVlZkw6P53996eAy6GHW3AXcuePZ0tYGzZa61XyPgZm/bmgOuVxbUumxkxhe+OjtRiCtoAFJDFxVISjylwogIvCoB7BI7qbQ0KaW69KLYIjt/wqrNpMMtuxuri+pU/mC4ux4ZNMrBhd7H2pZWsYnRrhwn0YpexnmzcLwquUc69J1XBVuNrLi3FsHAWS8uZi7XqDEtaoQCynSyqwBcJealHcaMKYdBhXk1npjtoDk5mHheRE07HwDlieApVAoFLitFS51oYLGadr3Jy2QWU56g1t3C9QVZwnsT/mZesMY1NfNgTyVPUpYQzcmfVceenccnkRRDFcXLNtjNkp0EyKTQIGCudBU8s9b7UdYzKTR8e3pM+HNeR/pmX7HbbuZOLM+JxICNOYkaBgpxcq8vOz8ZYCORZaS8nF+zi+68eL4OuKLRk0BWVmTDovtSnGx0d1U1bijhzY6No29W9l7uLH/CF6Txdm1v2PJ9pq+/1cnF58YNr297J+7mesbG9HUMWl7ebYfP+jfQMRVTg2DA8aS91nkj5chKeSUFUMKMKsS6c+UUVTBcXBRBoXrIVQPBlpS2pOSqiAlQcd3FjoiqwpSVFzwiRFwyiKnihwxSGirNWeRTl3svpu9tr09m5SfTljBb0z7xktXSGnPWubqNpe+dsrTkraOmMV8SGKYEI03RmEjLwBO6Vx/1d0+vV8LSxbZ5iHPvhw1ST1nIjbuIMUJoTHzLv6XV2gUUQeztFLyfIfa7SkW94WflwXEc6OqqbGqZeu3YEbe8crfRdY8RLOCMXmXiTkdshYVKxhtw2lbPVWZkLguMTC62xkgeNy8iOtCzakz5M5aZPZHWJxIJmNlduu6JfwMl9tq5+Rg7ijS+exezkGpdHVbccwsnFkGtzcsEuXtxkogy6otCSQVdUZsKg+8awFL30wfkLWMtlYvnIY8BVz2p82cwYcP1iCrEMuKbDp2IKW2ort8jGxfVrN0NMAUSFx5wvVWRx73aQRXCP+JP2SMPx43zOWF3cWMofbNgwVMDywYizcZHBPjKih3o+5WxcjaqAAgE/qoLHU3csVAVtOz9o4YxHFR7SMVRAwuECg2wnz1lz3ipKPUoSVfBCh5lDk8ld5e7g2OqFlFPDPjgtd4o8EDkBHQOM4yMjeqjhybcEAmUtPFoU49KZ59nxpTMQMZzPpytHvbZixC1cWpXO3V1TWxQEWWH/wH4uprEfPowzcm1tZ7EUQdgWBNNZrGScwTIGycSsXQYBA5g+npvmHOPz9yVE9hz+HK9dRKyLgQGfMfPv0dAlHV5OrpOVPpWT6unkglByS4PJMuiKQksGXVGZCYPu/5d1TQQ/dGOjiBN0d83osIMnT1vxA6915U+fFhfX63nN9pczvjw1F8Jpv/quKEM5fOoZGzWvGIA8srifTm1jzeK+0n2Uajd7KmUyrWt1nSc2jEcVMAyZUQU4fsWNKpjNWHCTTBf3OqMAAs1LqG7ekJynNr2xrOTFxoUDqFXBhqUqGPSMMFEFLdPpwVm1osOwoY9hyXn25u11cATNpTNs6fOBKWjprLglEH5NZ2jQGm48gXvlcde3zqfN7XK98WG8jtnBhykSCvK4PG5iOvGWlrowZAWNXW0pgvjxzdRoeQe7nKBa+5v59TXkG8gKvNL3mfYT6TEnQ31/s8jFBLEhP0aueSmxLQjyM7O57rztbLiD7OOfO84yfqj5DBUPeq7jeEXAwGXkZHanaPbdeSnTOMabEzUnl5d12BBvtiHXNy/9xQ3RVzBekQ2X3cfJxZBrc3IfcnLShfWmyKArCi0ZdEVlJgy6H1x3lTbg2kof/AZck5Vaai6ubdnMNuCyjXuOlTK5uF5ZXDOmsMKJKfAsLgYhjiwyn7TNLK7tWTuMiwuealD5A8eG8eKAx1kFLAajdwb0pw+G9lJP3J9PaxnJCJps3NXGM3cIqoLXM2ooqoKZGzRbzjj7+M/xKoryw+Jq9O2CunR2bhJ9UXCNhqGCI4ioArKdfEsfi4R+fNwwUQUvdBiGJv78zaMKIw1Cxpy6czzzuH9JnUgvdhmr6pjfG9xHYxx/fUPT6O3vxgAAIABJREFUcCUQb3fX8/MBS2ehyQqWxabzf28dOTtcTtYYOWpGVjiR1UUNUnDfvfBhtzWIIPw4PszGyE2pnKN9Bm34MC8n19Z2Nq56NFYCJrXJMt7cLtdVu1w0sjudyknVyjq03DQ4xrhM2tz2gDPy4oubTi4uj66SDo52Y2cDJxe8ae7kgl2MmvP8Wvky6IpCSwZdUZkJg+6Rwiuii0crHSdoQxWNiascPTbwaLkxn/reoOIH6+DDnkFdSKldzSPDz1+vjPz3XBd9xv5hcTX67vbaVi6uVxaXt5utYO1mXtiwkY57ZC4nXeyoguni3mZEFdY49aJeNb5YVlJs3Pn1dVQcXzJkVbBBVAWvC01oqoKxne+HDuMb+mdubKQVCiCK8kZ6huYIPs5iKGY9c1ktnfVImOY6zzwnW83LPGx5XLRo7e09RJW3APunnSNfHOQOoclfxRmGcOIDFwZtNcxeRRBLq6ocNScrHB7eU3PfzYiJWelb4MQV8Fn0YuR6XUpMEkbYtjOclXkhWd86X7GMESvZP7Cfi4ChLiNmbhpDrhML8nLb/SrRQ5Ev4OQiL42KbLjszg4DzsaMK8DJfYw5uXc4tdg5NWXQFYWXDLqiMhMG3WN3JHgOuOd3J7uazb79cIKrDCCWZTP8711LSGZGkw8+WER6vkH0CxRIqeWR4ef7O2upLC6v7w3K4nrFFJDZnFQz4hyZgxC+WP04qkEDLs8DYiDi1a+Z1SIurq38IQgbhnpRDEZg456dm6Qy2C4XF0gjL6oCstelSVXgmU6+cIaWM5a3BjUDUZRTOakqqvBWn8G0u+dwDQlniyogZ41FQhsOLtaoglnowZ15v6gCGrTuaTybVnjkcXf3HK4c+RNZXejjie1V5OT7O2tFsp4ogdhQxV4CYTZpFWPpzKvOV2U+MUTxsgFj6Qy0ExtZ4cUuY+mZ9lEaBr+Y+OHDisvIRRFEqypZ1razkWxBcBY7K17p+5jzegKWMS4jrtplTsDAhdLMTceAePNycs1XEk8nF3nphypqLjtwfNzJfanrGEWgMZ1cuOvDL58qg64otGTQFZWZMOieWHxZJKaAxSMwUtniCp48wxY/hEGG+bq4gJjjCXtnMx0phZwmygGcZ+yvZjXTsrioDcVTti2La7ab4Tk7VmxYcaMKGHJtUQUsKc2s7XZxV7DigGfaT6TnOo73rPHVuKrOspKVjcsKBIpLVfBDxGlUhU+muDOdxna+hg5DrtNx6vmwtK/vIC2KgvPF0tk9jd1IODCPS7J0ZpZA2BaZBrBaZpQL8AVCc3Ay87hoqzuemUaf5KZEEXA2fJjX4qCxtR/mDD2HKIOsEEsRBC6g/HICssKW1Bx6InkKrXFoGF6VviCc9Ks8s9iMXDi5XqUdXm1nOCvzQsJZxkdHddNjJSBgGJcRW246bO2y1yWSf758nVyel+ZObm6Ky8l9ruN4tRBoOrmIkAysIhldUXjJoCsqM2HQPflAFFD+0wsNo4xNuLgcGVaM4gfPLK6Fi6vV95rtZkBKrXWyuL+vosoBThc2oS9ntKBPp7ahD8d1pGNjutL7Q3rTOwP60570YbSr22jFT92QnEfrHH7q/c0iQxA27/E0WprYsFijCiNZVCHfWDhD/StalzYk59HmdrnK/QtV48uXleAAAju1O1nPYPOLTcgByZOD7MPHVW6TiQ5brqPDwFo9lZNKRSO70/tDens6uQ81n6Ft6ZtOLuqZwzSdhS2BMJ1cjqTitcx8gdAkK+AJHMtMNif3u9trKyfXhg/TFgdNN74YTq4vI5cjqjyKIOAWmm1nr107QqtgxpDLK32Lm8k1h1w/ugLP5HK6gol6w1kF0RX+mZfsTVdwPm/n/95ax/SxxjMbAcPm5gbFSVyXkGdquhjGinyRm6LlpcEvxpD7yDUFikCDCyMuHj3jJ8mgKwotGXRFZSY16K6t4T3gIqYQYsD1Q91Yl80MZ8+zvveZmpEvcmfAPX9fgnoKVTnNyW3po/EdVAMWsrj4y9rM4i5nWVwsJZntZhcDG1aSqILp4j6VMpme6ziedqRlqWY7ZDitNb58MOLLSoio8EY7TtEobaoCH5LwJcwzneuibpOJDsNS4eHhPent/gPpjfQMDUNltpwtbBi5wBTWjTx7I4Yykm3pX5tQoHirsS6d2VrruDPPKRm8lhnb+lggRIOWLY9rbuyrqliOD+OMY17na1kcjBkfxtBvpgvvWmyyFEGcLmxCn05tQx+N70BHRvSg9wb3sZIVVrecpsgKdyXZK30zqs7Wzqw4RRCmk8vz015tZ0tY9TJvpXul+yhtQZCzjHEZUfEg58UMTq6rkS5EbtqWd+eXEE6n0RjGWOg0nFyVl85NoaOjutH7Q3qrs4GTi7gCd3KxmIuMdGp8tgy6otCSQVdUZlLRhY1JEXfBaUrC4pF67vRBhoXJ4lqRYWwJCc4ex0kFtpvNr69cIjA4i0Z2V1gpPgChIOBRg58KtBSWknhJQAZjcpqDUEkXzvyoCraoApaUTBfXK6rgWePLn7ixrISKUbi4/HJjabQLcnGtLlMAH1fbzg9Ah8Fx4k79cx3HqyUZlHssYdnO2XV0R3C4cbY83xnr0plZAsEvLuYi0xyjQYuf5zPtI2QFDE68zMPMVitHfq0PPiyAv/rDT6vDLw16MXIx5JqIquXxrgvKR+M70NFR3ejAoL6BbWcXM5OLMzPrlwdbMrk31ZujXHezetmLrvDp1DZRugKcXCNWAifXdhkJajzz/Izh71MeJwGaD68kuIRwhrGzzHkiqwu9P6Q37es7yOXkYsi1Obk4j1bxo2TQFYWWDLqiUDp48CD179+fKleuTHXq1KH58+fT+fPnY/rPUMtoz7ZRA65GU3DcPL8BNwhYrg24tpgCBlxe34uaUGcR6cJD0cHn21vr0ZmbGiqk1MnsTnR0VDd6b3Aferv/QA0rhedQZHHvb3a9lsUtZGgpW0yhtLBh3MXFMNSbFQZkViuk8YnRPCC28G0LZ9zFBW7qwKC+yvn7Z16ynuH0qfG1LSuZizB+z6ehBqQgqgJzAn9aHSVnfLugrjrnTya3Veiw9wb30RqztqTmqCgKbzlDoQA/X1xgeLazpFEFs7XOK6rAhyY8fz/mnCcWCBE7OTy8pyrz8Gw6gyPvIOBc+DCDcey3OBiID7M9hXOyAltsAtrPqwgClxMbWeGexjqvmiPfzCIIfmZBjFyz0tesXx7qOLlebWcrrp5JjxrVy2gXRCuda0EQi55gGWPJ07lUWhvpfM4p6DNmXkKsDOMHK2nkC7yQBDm5MAW4k4tce1rCVEqpnEMNE/rJoCsKLRl0RYH6+uuvqV69epSenk7bt2+ntWvXUvXq1Wn27Nkx/edg0C36W1edr8kXj4xls6Dih9DLZiYX16u+l7WbwSHCUxsg89jc3t1zOO3qNpq2dRxHf0mNbG9jADKzuMj95TmtSjyviS/UkmRxbeUPJY0qmC4uogpHRvSgD8d11IoDVIYzhhpfFVExnk9NBzCWp27Fx3WKPrz4uMoJXFRDZTq/nNHChQ7jG/o817mSYahuc/K4PIoyptoNmiNoxlB4c1bQ0plfCQQfmvKZM49FJs5d3ZQyibZ2mBBIVuDu4IVVjG9tVsXy4QlDruPGh81Ue+GpfBm568IXQWCDH8QTW9sZqrVN5BsqfcO2ndkqfc14CeqXcSmZbdAVHmw+g1Y7rvtfUieqC6ZJV/h8Wkv3gqAHXUE5uR6ft5joCrbKZTSewTBYZ3dy8ULi5eQ+6CwEYsidWTtqCOBzlFI5h1pUGUV1ErrJoCsKLRl0RYFasmQJVa1alb766iv1e6tXr6Z/+7d/o48//jj0fw4G3cOvD/EdcMPGFPwGXBcyzHy69qnv/fbWemrZ7JPcFPpwXEc6MqKHWkTakz6MdqZlastmwEqFyeJ6xRSKm8XFIMSftK9NKFDDEHf88ozs5l0sD8gHoi2pOS4XFw1nH09srzt/aLZ7qKJnja+LjWuJp5QGG9eTqoClpTV6yUfQwtlLXccoN3B963zNqTdbzmxRBZsjGMRb9YsqmDiqsUZF7HzDmV8dIqqg5XE5Bm6NnvP0LBhgS2c2Nz4sPsy1dMYHKCwMWpbOUARhq2FGVt6LrGCem23pzIyX2AZczsiFk8sXP00SRkEtve1smU/b2dv9B6oLySe5KfZWurXRBV8ry9iIBpWWk6teSuDkrtOd3DM3NVTkC3y28Aq2tcMEeiplMq1xilXuaRy5fOBccmoUupzcplWGUf0qvalafGsZdEWhJYOuKFA9e/ak0aNHa793+vRpqlChAv3pT38K/Z+DQffQ3kz9C9Li5oVZNtMcPTbwgJXqQoZxLq5Hfa/ZboYnbLh7r/YYSTvTMmlrhwm0uV0ubUiOOnxmFnd2nchQOcnI4g5gLi4WXEqr/IE/kZpRhfwrY4sqmAtnJ7K6qOftMzc1VM6fKv7wqfHVnrgtrXbFHnItLWcuPi6nKuBC4yCO4AR+OK6jiqRwdBjnH2OpEE49lpeAoeLlHiBm4Hx5trM4S2f8XFECMc5priswLi78+fvxNlPpL6lR7ioynnxbH3lcEDLOr2DuoJHzDFPn65fHDe0SejFyV+hUDF4EcTAj3VUEwWMmv/MhK4w0Kn15fMjvYsIrffmrCi4mZrwETOPCupHFM3wGkZ9GacfOtEzNdUf5yhcF19DZuUnRHDzOii8IOrg+v1iJl5EQ+ox45TLiQOsinHFcIs/c1FA5uccz09RLGIg0T6VMpvWt85WTC1IJhlw4uT0Spiknt36V3nRF5U6UULGJDLqi0JJBVxSoWrVq0R133OH6/fr169Ott94a+j8Hg+7Bd6eVzoDL/xL2Y+LiCxMD7p/jtS9NlAIALo+MZtHI7nRgUF/a13cQvXbtCHqp6xh6ruN41X6FZTNsbt9hNGB5ZXG9YgrFzeLyNqw+CTO0soBxluWkhQ0jz6TIbsJF2tphAm3vHB2IuIurNZyFwIaZpR8mrzPIVeK/rNiwMwvcbFxnQPKiKpy/L0HDwwE/5bVwhqXC1YYbiFxnQYiWM5sj6LVwZj5726IKZgkEjyqgIpbjqHhUAc4gMp6eeVxb0xlyniWs8z13YWWUjOGFfuN5arTUrYw+hQctnfEiCFRsB5EVzIgJLiZ++DAvRi5nGiMyhDptvKag7ez+ZpFmOp6fNtvOTmZ3isSE+IVkadXI5dI8qz3tNJaxcnJ9qrNDObm8aOXt7nqcxPmM4e9T5N2x0Fk0sju9N7gPvZGe4evkznZeRuCu96s8Uzm5jasOpfpVelNiQjuqUqkFXfpvtWTQFYWWDLqiQF166aW0bNky1++3adOGCgoKPP/vzp49S6dOnVK/3njjDYqLi6OXX7mODh25hY4cXUhFxxZR0YnFdPTkUjr+j/vo+D/uoxMfPqB+4feOnlxKRScWU9GxRXS46HY6dHgeHfzgBjr47jQ6+PYEOrQ3kw6/PoSKXu1NRX/rSseeT6XjzzSnE082opOP1aGTaxLp5MNV6OR9l9GJey+j43fF09FbqtKRwivo0Ix69O7kRrR/QjPaO6oN7cloTy/3S6MdvXrQs1370l86D6AN7YfR+rYjaFWrLHqwRTYtbTaBFjXJpTsbTqJ5V+VRYb0pNL3OVJpaK5/G18inrMR8Gn75VBpSdQr1TZhM6fGTqFv8ROoUP4HaxY+l5PhMahk/gq5OyKAmCYOoccIAapjQjxpU7ktXVe7l+tWgcl9qmNCPGicMoKYJQ6hF/DBqFT+KkuMzKTU+mzrH51D3+FzqnTCZ+lfOo6FVp9Ko6lMpKzGfcq/Ip6m18un6ulPpxnpTaEHSZFrYOJfubZpDDzQfR4+0yqR1bUbRxtQM+q9OA+m/u/emHb160N8HdqQ9Ge1pX1ZLOpDTlN6fmkSHZ9WmormJdOyOBDqxqCKdvO8yOvmHeDq5tgadfLwendjcjI5vaU1HX+xMRS/3pMOvD6FDezPp4Du5kbM6dGP07Nm58zPnZ2899/dm0MEDUyJn/sYwKnq5Jx19sTMde7YNndjcjE5sTIr898F5L76Mji2oTEXzqtOhmXXo/alJ9M645vTW6Na0e0gHerlfGr1wbTptTetHT6YOpcfaDqdHWmXSgy2y6ffNJtDdjXPp9oaT6Kb6U2h2vcgZT6yZT5mJ+TSi2lQaWCVyxt3jcyktfiKlxmdbz5efbb3KPale5Z7qfzbPtnX8GEqJz6JO8RMoLX4ipcdPon7sXMfXyKfJV+bTtNr5VFhvCs27Ko8WNppEi5tMpAeaj6OVLbNofdsRtDE1g7ak9aPne/Sil/ul0e4hHWjfmFa0f0Iz+uC6q+jwrNp0dH41On5XPJ1cehmdfKBi5Of2WB06sTGJjm9pTceeT6Wil3vSkdcG0qF9YyNn+cENdOjwPDpcdDsVHVvkOsd/fPQH9zkeW0RHji6MfnYPTKFD+8aqz+3RFzrS8S2to5/ZR6rSyQcq0ol7Ip/XormJdHhWbfrguqvU+b02qAO91KcbbevWh/7SeQA90W4YPdpmNP3hmrHq7BYkTabCelNoZt2pNPnKyOdzVPWpNLTqVOqbMJl6Op/N1PhsSonPUueGz6R5ZviFz2SThEF0dUIGtYofRSnxWZQan03d4idSz/hJ6rOYmRj5/ze/Vj7NrDuV5l2VR7c3jJzX/VePp0daZdKfkkfSUx2G0Ja0fvRieg96tX8X+p/hbWlfVkt6N7cJHZpRj4rm1KRjCypHPnv3O2e1vhadeLJR5HP3QkcqerU3HX59CB18ewIdPDAl1GeOf9aOHF1Ih47cQgcP3Rj5v397gvuMNibRyfW16OT/SYh+xm6rQkU31aAPptWnd3Ob0N5Rbej1oam0s3d3+u/uvenpDoPp8ZRhtKpVFj3QfBwtaoKzmUrTaufTOOdc+lfOox7xudQpfgK1ih9FTRIGUZ2EbpQYn0IJFZtQxUvrUVxcVYqLi6N//OMfF/OrT1ROJIOuKFDFHXR/85vfUFxcnPySX/JLfskv+VXqvwoKCujs2bMX8+tPVA4kg64oUMWNLpiO7u7duykuLo7efPNN7fflV/hfe/fupbi4ONq7d+8v/t/l/6+/5GcoP79f+pf8DEv26x//+Adt27aN4uIkviAKlgy6okD17NmTxowZo/3emTNnir2MJn8xFV/yMyy55GdYMsnPr+SSn2HJJT9DUVjJoCsK1JIlS+jyyy+n06dPq99bs2ZNsfFi8hdT8SU/w5JLfoYlk/z8Si75GZZc8jMUhZUMuqJAoTCiV69e9MILL9C6desoMTGx2IUR8hdT8SU/w5JLfoYlk/z8Si75GZZc8jMUhZUMuqJQ+uCDD6hfv36UkJBAtWvXpptvvjnmCuCzZ8/Sb37zG1keKIHkZ1hyyc+wZJKfX8klP8OSS36GorCSQVckEolEIpFIVC4lg65IJBKJRCKRqFxKBl2RSCQSiUQiUbmUDLoikUgkEolEonIpGXRFIpFIJBKJROVSMuiKykQHDx6k/v37U+XKlalOnTo0f/78mKkN5VFPP/00jRgxgq666iqqXLkytWvXjv70pz/Rzz//rP25Rx99lJo3b06VKlWilJQUevbZZ13/WWfOnKH8/HyqUaMGVa1alTIzM+mTTz4pq3+UX4W+/fZbuuqqqyguLo7efvtt7X8nP0Nv/d//+3/p97//PbVo0YIqVqxI9evXpxkzZmh/5ueff6Z7772XkpKSKD4+nrp27Up79uxx/Wd9/PHHNGbMGKpatSrVqFGDrrvuun+JzfgtW7ZQly5dqGrVqlS3bl3Kzs6m48ePu/6c/HtIVFRURNOnT6e2bdvSJZdcQr169bL+udL8We3evZu6du1K8fHx1LBhQ1q6dKnr71lR+ZQMuqKLLnB409PTafv27bR27VqqXr16zBze8qiuXbvS+PHj6cknn6SdO3fSbbfdRpdccgn99re/VX9m48aNVKFCBbrzzjvppZdeohkzZtCll17qGjIGDRpEDRo0oKeeeoq2bNlCycnJ1K5dO/rpp5/K+h/rF9Mtt9xCderUcQ268jP0V15eHtWrV48efvhhevnll+k///M/ad68edqfuffee6lixYq0fPly+tvf/kajR4+myy+/nI4dO6b+zIULFyg5OZmSk5Np69at9OSTT1KDBg0oIyOjrP+RylS7du2iSy65hKZMmUI7duygJ598klq0aEEtWrSgH374Qf05+fcwor/+9a+UlJREY8eOpRYtWlgH3dL8WRUVFVHVqlVp9OjR9Le//Y2WL19OFStWpGXLll3sf1TRr0Ay6IouupYsWUJVq1alr776Sv3e6tWrY25WK4/64osvXL9XUFBANWrUUP9zixYtKCcnR/sz3bp1oyFDhqj/+fXXX6e4uDh68cUX1e8dOnSIKlSoQE899dRF+G/+69PBgwepSpUq9Mgjj7gGXfkZeuuFF16gSy+9lN5//33PP/PDDz9QtWrV6Pbbb1e/d/78eWrUqBFdf/316vc2bNhAFSpUoEOHDmn/+XFxcfTmm29enH+AX4FmzJhBTZo00RzCl156ieLi4uj1119Xvyf/Hkb0v//7v+r/PXLkSOugW5o/q+nTp1Pjxo21V8QFCxZQYmIi/fjjj6XxjyT6FUsGXdFFV8+ePWn06NHa750+fZoqVKhAf/rTn36Z/1K/Yj388MMUFxdH586do2PHjlFcXBxt2bJF+zMPPvggVaxYUf0lfdddd1HNmjVdT3GpqamUl5dXVv/Vf1H179+f5s2bR7t27dIGXfkZ+is7O5sGDhzo+2d27txJcXFxtH//fu33//3f/50aNWqk/udJkyZRamqq9md+/vlnqlmzJv3mN78prf/Kvzrl5+dTSkqK9nv79u2juLg42r17NxHJv4desg26pf2zSkpKon//93/X/sz+/fspLi6Odu3aVWr/LKJfp2TQFV101apVi+644w7X79evX59uvfXWX+C/0a9bOTk5anjYtm0bxcXFUVFRkfZnXnzxRYqLi6ODBw8SEdHYsWOpR48e1v+stLS0i/7f+ZfWpk2bqE6dOnT27FnXoCs/Q381bNiQbrjhBpozZw5Vq1aN4uPjKSMjQ8uXrly5kipUqODK1f/xj3+kChUq0Llz54iIqHPnzjRx4kTX/x/du3encePGXdx/kF9Qr776Kl166aW0cuVKOnPmDB07dowGDRpEnTp1Uu6l/Htol23QLc2f1XfffUdxcXG0Zs0a7c+cP3+eKlSoQKtWrSrFfxrRr1Ey6Iouui699FJrFqpNmzZUUFDwC/w3+vXq73//O11yySX0hz/8gYiInnjiCYqLi3NFHPbu3au5Rf3797fmIGfPnk3Nmze/+P/Ff0F9//33lJSURGvXriUicg268jP0V8WKFalq1arUtWtX2rZtGz399NPUrFkzatWqlco5/va3v6UqVaq4/m83bdpEcXFxKoJ09dVXW7P3GRkZNGDAgIv7D/ILa+vWrVS1alWKi4ujuLg4Sk1Npc8++0z97+XfQ7tsg25p/qxOnTpFcXFxtGnTJtefq1KlCi1evLiU/klEv1bJoCu66JJBN5w++ugjql+/PvXr10+5QPLlGKwFCxZQp06d1POlDLqx6bLLLqPKlStrPx88u2/evJmIZNAN0muvvUaJiYk0d+5ceumll2jTpk2UkpJCnTt3Vs/s8u+hXTLoii62ZNAVXXRJdCFYp0+fpuTkZGrbti2dOXNG/b48d/rr5MmTVLFiRdq2bRudPn2aTp8+Tc8++yzFxcXRq6++St9++638DANUu3Zt6z9f9erV6T/+4z+ISKILQerYsSONHTtW+72PPvqIKlSooF4a5N9DuyS6ILrYkkFXdNHVs2dPGjNmjPZ7Z86ckWU0R+fOnaMePXpQUlISnTp1SvvfYSlj69at2u//4Q9/oIoVK6rB46677qIrrrjC9Z/doUOHcrnAAsG99frVq1cv+RkGqFevXp6DLjB3WEY7cOCA9mfmzp3rWkbr0KGD9md+/vlnuuKKK8r1MlpCQoLVGaxVq5YiVci/h3b5LaOV1s8qKSmJ5s6dq/2ZAwcOyDLav4hk0BVddC1ZsoQuv/xyOn36tPq9NWvWCF6MiH766ScaNmwY1axZ0xPv1KJFC8rNzdV+r0ePHlbMzt/+9jf1e4cPHy5XSCKbTp8+Tbt27dJ+PfDAA8rBQXxBfobeWrZsGSUkJNDnn3+ufg9PxAD0Ay925513qj9z4cIFaty4sRUvduTIEfV7O3bsKPd4sZYtW7ou8ydPnqQKFSrQH//4R/V78u+hW354sdL6WU2fPp2aNGlCFy5cUL93xx13UGJiohQX/QtIBl3RRRcKI3r16kUvvPACrVu3jhITE6UwgiLM3Li4OLr//vtpz5492i9k+zA8LFy4kHbt2kUzZ86kSy+9VONzEkXA6UlJSfT000/T1q1bqW3btuUKMh9WZkaXSH6Gfjp79iw1bNiQunTpQlu2bKGNGzdSkyZNqHPnzhq26d5776VKlSrRihUraOfOnZSZmelZGNG2bVt69tln6amnnqKkpKRyXxixYsUKiouLozlz5qjCiOTkZKpXrx59/fXX6s/Jv4cRff/997Rp0ybatGkTde7cmVq3bq3+Z1y4SvNnVVRURFWqVKHMzEzauXMnrVixQgoj/oUkg66oTPTBBx9Qv379KCEhgWrXrk0333yz3KSJqFGjRp7P7idOnFB/7tFHH6Wrr76aKlasqIYIU6jCTExMpKpVq9KYMWP+JR1z26BLJD9DPx09epSGDh1KVapUoerVq9OECRPo008/1f7Mzz//TEuWLKEGDRpQpUqVKC0tzTV0EEWWf1ABnJiYSPn5+eW+Avjnn3+mVatWUUpKClWpUoXq1q1Lo0eP1oozIPn3kOjEiROef+/xKEFp/qx2795NaWlpVKlSJWrQoAHde++9UgH8LyLf35UyAAABtklEQVQZdEUikUgkEolE5VIy6IpEIpFIJBKJyqVk0BWJRCKRSCQSlUvJoCsSiUQikUgkKpeSQVckEolEIpFIVC4lg65IJBKJRCKRqFxKBl2RSCQSiUQiUbmUDLoikUgkEolEonIpGXRFIpFIJBKJROVSMuiKRCKRSCQSicqlZNAViUQikUgkEpVLyaArEolEIpFIJCqXkkFXJBKJRCKRSFQuJYOuSCQSiUQikahcSgZdkUgkEolEIlG5lAy6IpFIJBKJRKJyKRl0RSKRSCQSiUTlUjLoikQikUgkEonKpWTQFYlEIpFIJBKVS8mgKxKJRCKRSCQql5JBVyQSiUQikUhULiWDrkgkEolEIpGoXEoGXZFIJBKJRCJRuZQMuiKRSCQSiUSicikZdEUikUgkEolE5VIy6IpEIpFIJBKJyqVk0BWJRCKRSCQSlUvJoCsSiUQikUgkKpeSQVckEolEIpFIVC4lg65IJBKJRCKRqFxKBl2RSCQSiUQiUbmUDLoikUgkEolEonIpGXRFIpFIJBKJROVSMuiKRCKRSCQSicqlZNAV/b+NglEwCkbBKBgFo2AUDEsAAJHxn/GQiDxyAAAAAElFTkSuQmCC\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc4fabcc0>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rotation = +0.2\n",
    "import copy\n",
    "ai2 = copy.copy(ai)\n",
    "ai2.rot1 = rotation\n",
    "ai2.rot2 = rotation\n",
    "ai2.rot3 = rotation\n",
    "print(ai2)\n",
    "img2 = cal.fake_calibration_image(ai2)\n",
    "\n",
    "\n",
    "jupyter.display(img2, label=\"rot1 = rot2 = rot3 = 0.2 rad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If one considers the rotation along the incident beam, there is no visible effect on the image as the image is invariant along this transformation.\n",
    "\n",
    "To actually see the effect of this third rotation one needs to perform the azimuthal integration and display the result with properly labeled axes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\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 overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + 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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"999.1666368891804\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6fc4f67cc0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = subplots(1,2,figsize=(10,5))\n",
    "\n",
    "res1 = ai.integrate2d(img, 300, 360, unit=\"2th_deg\")\n",
    "jupyter.plot2d(res1, label=\"rot3 = 0 rad\", ax=ax[0])\n",
    "\n",
    "res2 = ai2.integrate2d(img2, 300, 360, unit=\"2th_deg\")\n",
    "jupyter.plot2d(res2, label=\"rot3 = 0.2 rad\", ax=ax[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So the increasing *rot3* creates more negative azimuthal angles: it is like rotating the detector clockwise around the incident beam.\n",
    "\n",
    "## Conclusion\n",
    "\n",
    "All 3 translations and all 3 rotations can be summarized in the following figure: \n",
    "\n",
    "![PONI figure](../../../img/PONI.png \"test\")\n",
    "\n",
    "\n",
    "It may appear strange to have (x_1, x_2, x_3) indirect indirect but this has been made in such a way chi, the azimuthal angle, is 0 along x_2 and 90_deg along x_1 (and not vice-versa).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Processing time: 3.218s\n"
     ]
    }
   ],
   "source": [
    "print(\"Processing time: %.3fs\"%(time.time()-start_time))"
   ]
  }
 ],
 "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": "3.5.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
