{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Deconvolution of the thickness effect\n",
    "\n",
    "This is the third part of this long journey in the thickness of the silicon sensor of the Pilatus detector:\n",
    "After characterizing the precise position of the Pilatus-1M on the goniometer of ID28 we noticed there are some discrepancies in the ring position and peak width as function of the position on the detector. \n",
    "In a second time the thickness of the detector was modeled and allowed us to define a sparse-matrix which represent the bluring of the signal with a point-spread function which actually depends on the position of the detector.\n",
    "This convolution can be revereted using techniques developped for inverse problems. \n",
    "\n",
    "We will now correct the images of the first notebook called \"goniometer\" with the sparse matrix calculated in the second one (called \"raytracing\") and check if the pick-width is less chaotic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab nbagg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "#Note: Use to configure your proxy when you are behind a firewall\n",
    "#os.environ[\"http_proxy\"] = \"http://proxy.esrf.fr:3128\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gonio_ID28\n",
      "det130_g45_0001p.npt\n",
      "det130_g0_0001p.cbf\n",
      "det130_g17_0001p.npt\n",
      "det130_g0_0001p.npt\n",
      "det130_g45_0001p.cbf\n",
      "det130_g17_0001p.cbf\n"
     ]
    }
   ],
   "source": [
    "import fabio, pyFAI\n",
    "from os.path import basename\n",
    "from pyFAI.gui import jupyter\n",
    "from pyFAI.calibrant import get_calibrant\n",
    "from silx.resources import ExternalResources\n",
    "\n",
    "downloader = ExternalResources(\"thick\", \"http://www.silx.org/pub/pyFAI/testimages\")\n",
    "all_files = downloader.getdir(\"gonio_ID28.tar.bz2\")\n",
    "for afile in all_files:\n",
    "    print(basename(afile))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.sparse import save_npz, load_npz, csr_matrix, csc_matrix, linalg\n",
    "#Saved in notebook called \"raytracing\"\n",
    "csr = load_npz(\"csr.npz\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mask = numpy.load(\"mask.npy\")\n",
    "images = [fabio.open(i).data for i in sorted(all_files) if i.endswith(\"cbf\")]\n",
    "\n",
    "fig, ax = subplots(1, 3, figsize=(9,3))\n",
    "for i, img in enumerate(images):\n",
    "    jupyter.display(img, ax=ax[i], label=str(i))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 23, 66.70997727680509, 10.158284104419751, 1.8620806330708715, 4.1457054445768575, 44893431.410043925)\n",
      "(1, 23, 58.916665820820484, 9.570956319319157, 1.866660965615604, 4.014684782115804, 38902818.60988106)\n",
      "(1, 24, 28.594341898802767, 4.742262024285129, 1.8989417265980055, 3.979698596262403, 16639925.614216916)\n"
     ]
    }
   ],
   "source": [
    "fig, ax = subplots(1, 3, figsize=(9,3))\n",
    "\n",
    "msk = numpy.where(mask)\n",
    "for i, img in enumerate(images):\n",
    "    fl = img.astype(\"float32\")\n",
    "    fl[msk] = 0.0 # set masked values to 0, negative values could induce errors\n",
    "    bl = fl.ravel()\n",
    "    res = linalg.lsmr(csr.T, bl)\n",
    "    print(res[1:])\n",
    "    cor = res[0].reshape(img.shape)\n",
    "    jupyter.display(cor, ax=ax[i], label=str(i))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It turns out the deconvolution is not that straight forwards and creates some negative wobbles near the rings. \n",
    "This phenomenon is well known in inverse methods which provide a damping factor to limit the effect. This damping factor needs to be adjusted manually to avoid this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ipywidgets import interact, interactive, fixed, interact_manual\n",
    "import ipywidgets as widgets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "adb72e0af72c49af9e1dee2cde75a06e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(FloatSlider(value=2.5, description='damp', max=5.0), Output()), _dom_classes=('widget-in…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = images[0]\n",
    "fl = img.astype(\"float32\")\n",
    "fl[msk] = 0.0 # set masked values to 0\n",
    "blured = fl.ravel()\n",
    "fig, ax = subplots(1, 2, figsize=(8,4))\n",
    "im0 = ax[0].imshow(numpy.arcsinh(fl))\n",
    "im1 = ax[1].imshow(numpy.arcsinh(fl))\n",
    "ax[0].set_title(\"Original\")\n",
    "ax[1].set_title(\"Deconvolved\")\n",
    "def deconvol(damp):\n",
    "    res = linalg.lsmr(csr.T, blured, damp=damp, x0=blured)\n",
    "    restored = res[0].reshape(mask.shape)\n",
    "    im1.set_data(numpy.arcsinh(restored))\n",
    "    print(\"Number of negative pixels: %i\"%(restored<0).sum())\n",
    "\n",
    "\n",
    "interactive_plot = widgets.interactive(deconvol, damp=(0, 5.0))\n",
    "display(interactive_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "1 2.1000000000000005 5 (2, 3, 16345844.403713968, 11.527249901318596, 0.731367160508006, 1.008164630319579, 1651162.61691755)\n",
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      "1 2.2000000000000006 3 (2, 3, 16378625.12322567, 8.810397254254633, 0.731367160508006, 1.0074479258745335, 1510876.2465190822)\n",
      "2 2.2000000000000006 0 (2, 3, 6288751.248147467, 4.358585646280178, 0.7124343038688561, 1.0071559419687577, 554042.8556008342)\n"
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     "name": "stdout",
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     "text": [
      "0 2.3000000000000007 11 (2, 3, 18024330.414653238, 7.930152629955902, 0.720876988061102, 1.0062728533418264, 1487366.6196880199)\n",
      "1 2.3000000000000007 1 (2, 3, 16407398.615616558, 6.809193304613491, 0.731367160508006, 1.0068212559417271, 1387509.7072971147)\n",
      "2 2.3000000000000007 0 (2, 3, 6298827.381371137, 3.3670341716073207, 0.7124343038688561, 1.0065496203677866, 508721.79761030764)\n",
      "0 2.400000000000001 10 (2, 3, 18050885.4824173, 6.190771256285933, 0.720876988061102, 1.0057648357446702, 1370394.7510240064)\n",
      "1 2.400000000000001 1 (2, 3, 16432786.49367229, 5.316868997233116, 0.731367160508006, 1.0062702041738123, 1278480.878611667)\n",
      "2 2.400000000000001 0 (2, 3, 6307716.503634103, 2.628046913304302, 0.7124343038688561, 1.00601708700015, 468680.4088272651)\n",
      "0 2.500000000000001 7 (2, 3, 18074427.722288627, 4.8791966030319855, 0.720876988061102, 1.0053159693525224, 1266551.7118953073)\n",
      "1 2.500000000000001 1 (2, 3, 16455295.384956215, 4.191268919449298, 0.731367160508006, 1.0057831175425294, 1181676.1563723104)\n",
      "2 2.500000000000001 0 (2, 3, 6315596.497304174, 2.070942035293268, 0.7124343038688561, 1.005546859485508, 433138.10909003834)\n",
      "0 2.600000000000001 6 (2, 3, 18095392.780501533, 3.879663143491506, 0.720876988061102, 1.004917438461127, 1173963.730435631)\n",
      "1 2.600000000000001 1 (2, 3, 16475341.331118077, 3.3332490875008536, 0.731367160508006, 1.0053504966364453, 1095353.2376384377)\n",
      "2 2.600000000000001 0 (2, 3, 6322613.384919633, 1.6464650063817658, 0.7124343038688561, 1.0051296004278052, 401451.9270885063)\n",
      "0 2.700000000000001 4 (2, 3, 18114140.886293784, 3.1103825306282964, 0.720876988061102, 1.0045620062933562, 1091076.4792870232)\n",
      "1 2.700000000000001 0 (2, 3, 16493268.402536416, 2.672735368386325, 0.731367160508006, 1.0049645367339355, 1018066.3665821521)\n",
      "2 2.700000000000001 0 (2, 3, 6328887.88900935, 1.3198290063971856, 0.7124343038688561, 1.0047576550252286, 373088.67974930356)\n",
      "0 2.800000000000001 4 (2, 3, 18130971.88420143, 2.512846560192946, 0.720876988061102, 1.0042436883117971, 1016592.5183917951)\n",
      "1 2.800000000000001 0 (2, 3, 16509363.031713447, 2.1595810431573668, 0.731367160508006, 1.0046187786585599, 948608.3744339936)\n",
      "2 2.800000000000001 0 (2, 3, 6334520.479798751, 1.066156214602673, 0.7124343038688561, 1.0044247006466533, 347603.4324957177)\n",
      "0 2.9000000000000012 3 (2, 3, 18146136.90698597, 2.0447109758954727, 0.720876988061102, 1.003957501541721, 949422.4389416948)\n",
      "1 2.9000000000000012 0 (2, 3, 16523865.146612566, 1.757481418768783, 0.731367160508006, 1.0043078405010102, 885965.3845129564)\n",
      "2 2.9000000000000012 0 (2, 3, 6339595.293648997, 0.8674464870038601, 0.7124343038688561, 1.004125478506082, 324622.6872862707)\n",
      "0 3.0000000000000013 2 (2, 3, 18159847.514903784, 1.6749946494607078, 0.720876988061102, 1.0036992704001484, 888646.4170355572)\n",
      "1 3.0000000000000013 0 (2, 3, 16536976.889610518, 1.439866384531481, 0.731367160508006, 1.0040272095564602, 829281.1477878118)\n",
      "2 3.0000000000000013 0 (2, 3, 6344183.200131562, 0.7105331408557308, 0.7124343038688561, 1.0038555862166536, 303831.1597004069)\n",
      "0 3.1000000000000014 0 (2, 3, 18172282.907015525, 1.3807980234553863, 0.720876988061102, 1.0034654749658618, 833483.739863255)\n",
      "1 3.1000000000000014 0 (2, 3, 16548869.498660227, 1.1870915571733185, 0.731367160508006, 1.0037730795563815, 777828.7601797159)\n",
      "2 3.1000000000000014 0 (2, 3, 6348344.221493098, 0.5856861477918915, 0.7124343038688561, 1.0036113159671134, 284961.3030604744)\n",
      "damp: 3.1000000000000014\n"
     ]
    }
   ],
   "source": [
    "#selection of the damping factor which provides no negative signal:\n",
    "tot_neg = 100\n",
    "damp = 0\n",
    "while tot_neg>0:\n",
    "    damp += 0.1\n",
    "    tot_neg = 0\n",
    "    deconvoluted = []\n",
    "    for i, img in enumerate(images):\n",
    "        fl = img.astype(\"float32\")\n",
    "        fl[msk] = 0.0 # set masked values to 0\n",
    "        bl = fl.ravel()\n",
    "        res = linalg.lsmr(csr.T, bl, damp=damp)\n",
    "        neg=(res[0]<0).sum()\n",
    "        print(i, damp, neg, res[1:])\n",
    "        tot_neg += neg\n",
    "        deconvoluted.append(res[0].reshape(img.shape))\n",
    "print(\"damp:\",damp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# damp = 1\n",
    "# deconvoluted = []\n",
    "# for i, img in enumerate(images):\n",
    "#     fl = img.astype(\"float32\")\n",
    "#     fl[msk] = 0.0 # set masked values to 0\n",
    "#     bl = fl.ravel()\n",
    "#     res = linalg.lsmr(csr.T, bl, damp=damp)\n",
    "#     neg=(res[0]<-1).sum()\n",
    "#     print(i, damp, neg, res[1:])\n",
    "#     tot_neg += neg\n",
    "#     deconvoluted.append(res[0].reshape(img.shape))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "window.mpl = {};\n",
       "\n",
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       "    } 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",
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       "        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",
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       "    this.canvas = undefined;\n",
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       "    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",
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       "\n",
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       "\n",
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       "\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",
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       "        '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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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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re7nzzhe67emXO8CEKb7wlNDcimEW7va94nfe8yT33esx//yk4EueMv3x4+5zh+CTwrTXe8/Os0hPP7fll7oAEzSdUbjEf9/WpTmMBrpdGcFHD8bvABaUkrg+G3xjvel1GHAU2tqsdg5UONzP/+1vjL4ojTZ8Q4ytUGqkyKA/JPCdMe92sDaeBRKmIAAN/yxPHCQRdfB9uLZNVe5YBjfZ3VSOfxx1jioSip3QRPaFq3xlTmOTSpjVUnlsCWtSAQ1FIicXNHfzpsb9pjnn+ePchjjltXFXoca3JKBjvPRgJcSrrctvdATTJy4fZARxGxIqID3ZuY4zgOn18U7gQSHGzj9+5yZdvmQ1vnjrHGuY5POlcMJCnGkddbHV8LOzCWO4+X5vj5humMZQgy8/vtybrT/U1CxdkglNAaCIvjA6edGLbChBqa1Qyrh1v4KOGJNCjhUovAl/dOBuY4XEFZ4kvcGXYcux0bS9oxCCD/ezdGo4i9h+pI2NTZNwMELEGCjbvewfDj3UHfYk5UftcfqQuGGlwFgWm46Bt5DykGHl3HEe6yxEdUYCNoNrYbkUtiTlQ8NyaXQGAiCZXWBhuRS+39jIGj/p4kvow01qeFG53HIIQEP6T/1rjBtyxt/HIKYjAsJrkj58rztsrT+Cnhz8hTX/njZMxnCpnLL50twrKbdiD23/gpoTilxrS8Zi50JcPxs8ALHdZcAhwl4SJ5ICPsQeLw+YTqcXdsDTt19NRycOwaa2p8fE/DgYILf+2hQwlRmLjTR46rzh+DTojT4OH+YbTxLEFaqq7jnQ7S6DI+7IbkUzq7tAU+PyIU6/3egmgMJr3JKwbhldXHs9/SqPrAlrUjchucvQRBef0vz+PGZnlO81ruGFkBDcqlY33BQIa2zOa0IPpg32lVO6fqm+mtvVh78JnuxJ4Dj03X+iMfNC6PnuY4z2ruQe3F41TnYBtg/aarDUOWGWWcEHKsGL4CG5FI4dffVDi+OjkCOF8fc5ILyPNH7eWDaRPv5pvcDQQG9N7W+Mgi3dHWAK7xfaOhTSGDyspDmVwv3mC7HfX0wb7QNJjjkoG3Kk3cNcKwnwZiqpIhHkglu4PkcXZph9C7B9XZmLrHPgXpk0PTGxGmObSngkIz9tUOc/zckRKAMBwx8+8+KU12AhXrOvDl5in2s9Dla175Oa2qxCC7w3LknBYU4eIz0WvD9bG4HRl6QxgQ71sdXwhsTp4kABOFHja9MXL52SCU0JJd6Ao63p05yzcNU44t0tKIXB11n7ZBKaE4pgbVDKuGBwbc4livgiD0p4Pgb6tSpU7B69WqYOnUq9OzZEyzLgp///Ofiuu+++y5MnToVunfvDj179oSCggL4/PPPXet98803sGHDBhgyZAh07doVMjIyYNu2bf9HeXZEPERFSrSHhrse0wZinT8Er42fASduH2R7ZpjgBm1IYcPTy/jjhp/US1nrK4PGQBDOPNDTdtvGxgFuT6dN+/QCHybYwUGFV97VwrHwxjCej8mowkYRNdSaU0qgJaUEtqUXwrMjF8JzoxbAp0VpcHZtDwhvvRzOV3cDy+oC5x68Ek6v7g3n1l8BbXVxEG6Ki0zXdHX8fnVrApx/+DI4kpcFz4+aD5vTiqA5pQSa2l37cZpDko6Gy5hgBwcZXttTA6BGmJbWlbaRjFK+36eyF8HJFf2hIbnUeG9MYMPL4KSGl1dZwV7zZ0cudBmx+Cw+mFACU3pmQ3y3fvZgWbFeN0khKh0tE9J2UkIY2JJSAp8WpUH4Vz3g+G3x0Nzu3SHlZzJmpTIlga5o4MIER7y2/U32Yji3/gobLtPtTIY9r1/5ehIgwWOo90fC/9oejYPGQNBoCHNIwd8xEuCo8ZXBl2V+aEgudeTHt5PyNhngJoDjZfTjfCwrNFQlGtzgZa8huRS+LPNDc0qJo9yayg59D9T5Q3D8tnij94epLNX5Q3ByRX8HrJPKkFT/PHNNrqtc8HtKDdXqpHI4MG2iw0ilRui/DAnC9VeNgMFdO0/99LN2wNGcUgIH546x6xLaIUDnUfha7w85wiCl8kSnG5JL4dCibFd5NbVFGgNB2JG51PGcmNp4HARwSEC9Kt6acr3o6cE9NPC9KZUXChzwutByw+FLja/MAS+4Bwlu15JSYswD/9f4IrASl3HAgcdPjX4MUTF5W0jG/oZ2GMRDO+i6e7PyRAiCv3jvJE8MvH4UKpq8Nfgyes/enz3WBSHxGJsCQZcXRrRzp6khudQBJ+j5owfJBnIP6PKNCRFPIAlurB1SCc+OXGjDJboMgcWLY25yeHfQ36qkcgfYWDPkFlgXr4AjFqWA42+oDz/8ECzLgkGDBsGECROML+nDhw9D7969ITExEWpqamDt2rXQs2dPGDp0KJw/f96x7j333AOWZUFpaSn8+7//O8ycORMsy4Lt27f/1Xl2RPiSvnPAIldjhbul8uW0kVjvD8HnwQCcXXOVw3ODv3AlMHEh8IADDTp9elUfOLQo2/YE8IINktFgatR79WRKRoKUt5dRYmqs0gYPHVegOaUE9uXcCAfnjoHwE70h/Msr4fSqPnC+uht8UZoMB6ZNhOdGRdxmcX1MltVFhBRNgSC0tAMSTK2pxbAlrQi2pBXBk8NvhpeunQsfLhgJhxcPh7Nre8C517Ig/Hg3aKvpCsfKffD6hOnQmloMranF9v4o9OhoqIupN96rl8vLyOX7kYwJqXEp3Zt6fwiOFmTCoUXZYu+ryYjFMupVrrjBJRlhDcmlcL66GxycO8buNafr/vPgPLAsC3p0udzTgIiluulngxeIMKPGcI/5vcf711HQVtdudDQFgvDhgpFwbv0V8GlRGmxJK3IZI17PrAleegEMaVk0A5zWgZgOLcqGPVn5dn5VrA7qSH0n1V/S8obkUtiRuRTaarq6vPYkKCEZylVJbsCB5/T1yr729eTgojrJDC9McIUDDgp3THU3LsOy8u6M8cb7zwEHhw1NgSCEW7p6GrZSean1lUFLSomjF19aF68bnd8UCDq8e7zOk57vU9mLXOvw68rDVNBlnhu7GxIq4O6B+WBZFlzZyeonfD+fe/BKB+TnY3JI78A3Jk5z1V/SvceEY5rxtgvveMLOpPPV3VyAg947yZMD51EwgAYnzYN7CfBtqpPK4dyDVzqeUzTKqbdGVVI5HMnLcoEPeiz4nFYlOcMpOJCpSiqH5pQSFwTAbfA4Plww0gVUONTYkbnU/m9ZXRxGOhrj3DOCQpB18ZVwdGmGEQxwjwwaokGPafewfNe9wO03JVbAK9fNNgIQyYOKg5wvy/yuvOkx7Mxc4oAQkscGn4/n05JS4sgTxyBBD5Rj5T7x/HG9t6Zc71hOIcn2jEIbcCCsoCDkg3mjXSEsPA8MXcGkY3DEnhRw/A117tw5+OSTTwAA4PXXXze+pCsqKuCyyy6D//qv/7LnPffcc2BZFjQ2Ntrzjhw5Aj/84Q/hlltused9++23MG7cOBgwYAD893//9wXn2VFJg4xKYSmS5wb22NT5Q3B2zVXwRWmyp3t0rWG+1MimL28TKKgljbczD/SEHZlLXS9+2tjm8/m8jjTuTdBEMm65oSsZw7XsFxtBje3A4dVxs+DUvf3gfHU3CD/eDU6u6G8bL3SgRCnchIau4DzL6mIMS6HrYZgK3U5aTgHKU9mLYP+kqXDq3n7Q9mgcnH/4Mvjq1gR4c/IUaE0thiYPTw/e8Ksl10LyAjFBD+6V4ZVqhG14w5LfO1y2NX0ZnK/qBtvSC22gRkGGyUg1lSmvMiZBjr/8ZCCcWD7Y5Sn1cGIp3D9kqR2i0hnqJgxRMQEKaYwVCVpESxIcoWDxj7PGwbn1V8Cxch9sSy90DUCL5YSGWvFy0JxS4lomwU8TEPUywnm90pJSAuHGOIdRy4GYVAdKKRrkrfVFvEfOrrnKAZ6pIcz/U4OrOum7MTg4hKjxlUG4Kc7Ol0MTCkY47MDjiObBIV1D0/NZ4yuDHZlLoSkQNNbnJnCF5WP/pKmwM3OJa9DjaICj3h/x4tiavsy13FRecLsvSpPt8BrpfE3numtogavMcMhR3977jkb1syMXiiEq/2tIGawaVGiHqHSG+mn1kPk2xGhOKYG3plwvgg06LhZ9r1HPDhPAp2NAoVeE6Z1By3aNrwxeuW62DcM5bDR5bfBwZAk8/Hn+KJc3Bg892ZRYAX+4YbLtnWHaLxrZNb4yxzx+PNVJ5bAnK18EGxQIvDtjvFj+aH44PgndnhrsGxMq4NyDV9rbYYgKBwXcI4MChHXxzrE7JACwMaECtqYvc0AiClk2JVbAuYe6u0AS5rcpsQLOrb9CBBimsBgKrDYmRO4Rv57Uy+Lw4uHieZvCU+g87v3BPTzem5lj75eHmayPr4QvSpMd/+k69DypNwau88w1uS7vDQpC6HY4Hod6cMSeFHD8neQFOPr27QsLFy50zff7/XD99dfb/+vq6sCyLHjnnXcc623btg0sy4Lf/e53F5xnR8U9OLzcGDngQGPr7Noe8PqE6a4GqAQLeM+Z1Mj0mkcbXnX+EHwwbzQcq0x0NeIluCE15KLt32QASPl5NTKlRis1pBoDQdicVgRflCZDuKUrnHvwSviiNBmeHH6zDQakhhEFERRAcBiB8xBwUPghgRDueSHlj54feAz17JgaibfJ58EAnF7dG06u6A+n7u0HW9q/ZEEbgtE8PLyM0nq2HocXEvSQDAQOMiRAgWUPQUNbbZwdxmAybEzwwqvscUORrlfvD8Gf54+y4775MxYNcMRS3bSKAA4TCPMqKxIUwWlebiRgRhOW+6MFmRB+LA7emnK9Y8wOXrYkQ9XLiJWMFi8I4lWeanzfhZBsTityeByZyhUaslI9yLfjEKKu3cALN8Y5Bo+WvCg48EAPjmq2Li3v56u6OSD5hXhtUJBCz0c6f+mdw+9Dra8MDs4d41l38HJA5zckl8K5h7o7vuJDYZmpDGG9c+b+Xg6wKtVxfB6WBcmLg5cxek32ZOUb77tkMGNvvBSOgEbOHT9a3OnqJ+yYOHN/L8fYVV7eG9SLgy7n7y8OPqgXB683eNurrv2+47MtdV51JNyEr1PvDxmX0e1qfGXw0rVzHc8k33dVUrn9LND8JCDywbzR4rFRj47nR80XPVMoJMB7QtfjcGB7RqFtoEcbg8P0n+5X8n7YkFABnwcDIpDA86dhXxx0bEiogJfHznHsg3ttRJt+cvjNNuyREnqIcPjhFbJC4Q/1/uCDnz49ItexLh+k9E9zrnWBJAo5dmQudYWu4PTerDyXhwYFHS9dO9eeh2NxqAdH7EkBx99JJsBx5MgRsCwLNmzY4NqmoKAAevXqZf8PBoPQvXt3+Pbbbx3rHTx4ECzLgkceeeSC8+yoKODgjRX6IqINSnxpNSSXQvixOPh9zkyx4cwbkV49Z6beCJNx2ZJSAqfu7Qct7T2iJtgQDV5QKGMyOr16t6TpKrYObWDShtAWBBqNcfD1yr7w/uyx0JxS4gAK1NDy6mFuZBCEAwpMkgcHhxMS/KDzJUBCgYuUDwIP/HTngWkT4ezaHnB2zVVwdGmG49Od3LODXjc8d+wJ9xrzg1+7aNCDl7Van2xY8m1bU4sh/Hg3aE0ttueZYJjUIPUysLyMXgR8bTVd7U9I4jp3ewCOWKubfkYMCAliRBvIjwONC4FnpnzxOdiavgzOPdQdvro1AVpTi1098tFgGvcAMZUPr2lTOaLl5NCibPiiNNnlbWSqH+lyCiNM9SMuq/VFvFTCu3tBY7uHg+mdwEEEemKYjq05pQQ+KUx3HIvkmcHfYaZ907xpHvT6S/PodT33UHex190LUmA53JJWBEcLMo0eP9J2WGbemT7B5Q2E19+07zp/CJ4btcD2BqDrm645JvQY4O90DpHwd3tGoW2solFEDTovD45Yq58o4MCxOJ4eket69/LQFVqfPDn8ZrF+MwGrt6Zc7wCW/P7RMl7rK4PzD18Gdf6QfX+4pwX3wODzuPcGzm9NLXbAg7eK8YgAACAASURBVGqSP2070q+pYLuSg46qpHI4OHeMCMzoPnBMCA5jqAcHnj/3BqF5VSeVw8tj57jAwQaWF47pQT04JGDBvRro/BpfmWseBQ0YAsK9P/C4dw+LQEbJGwXPiwIKemx8nuQhU5UU8cTmHh4UBlGowr1WOPjh1+LdGeONy7Ce4GEoCCmeyl5k5y8NJophKLgdwgv0juF50nWeyl7k8PBQD47YlAKOv5NMgAPnP/74465tVqxYAZZlwblz5wAAYObMmZCQkOBa7/Tp02BZFtxzzz0XnKekzz77DA4cOOBITzzxhCNEhb58vDw3GgNBCG+93BNuUIPf1LDkDWRTQ53Cjfdnj4VzD3V3xHtHa6R5QQoT/KBGpskAMfUASjCiOaUE9mTlQ/jxbhBujIM/zx8FranFYm9PR40tHkoieXQ0Ei8L7sEhrYdAQgpj8UociHDAwvNuTimBxkAQWlOL4YN5o+HU3VdD+LE4eGH0PHtZNO8OCj28eu9NPeuSMWGCZaZtcB8f5w+ze0i98uPlhD8nHTFkcbrOH4KXx86BcGOcw3DxAhyxVjetao9x572hvGxIACMa9PBaj7qVS0YHXQfHOGir6QqvjZ9hP88SUKP308uzIxrEkLwqTLCi1tf+JR5Sb5p6gL1gRkf3tTmtCMKPd7MHCDXVsdSrgoeocAO6Oqkcdg/Ldxjb9B3F15dgiukdJMFEfm2kd9Fvshe7PiHN6wbJgwPL0mfFqY4BR/l6Up2D5e7M/b1c20n1Ga1n6v0hOL2qj+j9YXqX1vjK4L2ZOa53npcnR1VSORxePNzVu4+GihfgiNX6iaYTtw8SOxh4qAqta54ekesqH7Q80Htd5w/B4cXDjbCSlnGEjruGFojPjRQy4hWygobxpsQKeH3CdKPnB81/b1aeXXZwnuTt8WlRmsvDhB4Hbl/rKxPz2EjWw55/vgwN9aqkyJea+PlzEIHhVgg4cGyIje3TPFSFeyxsTKiAL0qTXYCAggE8Fw4h8JhqfGUObxIOSDDMhYeRmOCDdG8Pzh3j8tKg+VcllXuGpfDBQyn8eW7UAgek4ACFjtPB86rxlTlABffkeH7UfDH0hd4LCjbQU2PNkFvgzclTXNDjxwo4Yk4KOP5OMgGOl19+GSzLgh07dri2+ed//mewLAuOHz8OAACTJk2ClJQU13rffPMNWJYFy5cvv+A8Jd133312o4InkwcHnYcvzYbkUghv6w5b0oqg1tDgkRpApgYlbRxLRhxtnB2/LR5eHTfL2DirMuQjNeL5NhLQiAZJTI1D2qPz+oTpEG6Kg5Mr+sPvc2ZCS7vxLnkfcIOcG/HUmOOAQQIXPGwEAQf3wjBBCxMskTw9vLxHTJ4hNF8cz+PFMTfB+apuEG7tCi+PnQMt7YOVdhR0mMCQV8Pf655LZYbff7xfm9OK4MwDPe1nwwRHouXLG6wmIxfL2usTpkO4MQ6aAkGo8ZV5Ao5Yq5s44JCgF5/n5RaOY2eYoEa0dbzgSGMgCM+NWgBtdXHwzvQJ9vNCy6MEySj84HWTF1joKJCgddJnxanQ2F5OJOOdG/le+8Djl7zWWlJKbMhBz8f0fkAPDgQVkndGjS8SGtKcUuLpDSKBeQpU6Lbokci9R0zPGz33Wl8ZfJQ7wlEvS14U3EjF36ZA0L5GvMfeC5og2ORwhEMVqYw9PSLX9vjyAhv8fbglrUgsdybQ8ebkKVDjK3P0+qPxdKcH4Ij1+gnh/ea0IpfXhskjsc4fghdGz3MBW55o+Xln+gR7vlRv0LZZra8MTq/ubZdz3taTPDpMiS7H55B7XOA8BCGb04rgyzK/CFdowvOTjoXm/97MHKOXCU5/Hgy4AAk36je3l2kp7APXxTEiEHBIRrzktUEhAHpoSOtjXnRAU+59sTGhAk6u6C96meC8t6dOcgEODjIk0IHLTq/ubQMUug5uh+N08O29wlRwenNakQtc0HyO5GXZwEKCJY2BoBiisnbId5+hpZ4d9GsqL465yfbo4CEqranFrhAW9eCIPSng+Dups3lw8IYhBRs12CBrioPW1GK74UMbvryhLjXCO9qIpA3vP9wwGT7KHQF1/pC4jilf3uPk1UDj22MjIZqRShud2MDZm5UHbY/GwYnlg+HZkQuN42hIngcS0KgTGkdeYIIDCkySBwcfN8PLK8RrgFL0zjDBEOqRYQploftrCgRh19ACOLF8MJxe3Rv+cMNkO4RHMjolwMF7waSeVZp4OZAa+l4GIeb75/mj7K8deBkcvOxKAEX6z+fX+UOwNysPwruugsZAEFYOWtgpe0h5OfEyHkz/o3kF/TXeH7T84bG1phbDybsGwIcLRtrlVioPJsPUBN24FwSv30xlGPOq80cGucQeY1PdK9WTJngi7Q97js9Xd7O9RkzvBAQcfB4FHjRfHHuGHr/JU0PKj5+P9I6Qpun7Dafr/ZFPx/J7GA1QYPk6MG2iY4wUCVhIUKzeH7I9cjrijUHrwOO3xRvLG3/34jwepkKvowSTqpLK4Z3pE0SD2QtwxFr9tHrIfFcd05BcCqfu7eeAm171D/7f0l4OOKCV3l8NyaXw1pTrRVBFQR7WB/snTYU6f8gFOExwg3vfmNbZklbkAiA87+qkcji3/gr7mPi6dL13Z4x3rMPzRM8Rk/cJHis+pxxs0DxrfGWwJyvf5S3CvSeoB4fkHWEakwKBCD4z3DNCMvIl74xNiRXwUe4I+3z5ehsSKuDVcbMcIINuL3lz8HP9ww2THdeAr/fBvNGiRwhfjw6iir80BIWCDNwO8zbl+9r4Ga7rjNN4/2iICoUc788eK4apcM8NnNYxOGJPCjj+TvpbjcFx+eWXX9Q4Ug44uGuw3dvUFAeb04rExiquxxvZUsM4WiOeNuY+LUqDF0bPc7hjmrbBY6DLovVu8gYsN2hpY5Y3cNFgwK+efL2yLxyrTIR3Z4x3DD5I4cdfa0zxhpEEMaJBCq+vqCCAwDx4vhxM8K+iSNDDy+sjWpgLP5anR+TCidsHwbHKRPurLBSamK6nqffUVPa8DDjJKDVNb04rgvPV3Ry9pV7gQtoHNzp5+ePHuScrH8J7+8L98fP/ZjHuF7tuoj2k+PyYPIckI4JuU8fykQwPybPKBBmjgcp6fyQ07fTq3vBJYbrDM0TqpTeVN1o/eRnn3LiXQAXm+fyo+fBpUZqrXuPb8WkOtL3qd/TkaKuLsz056DlwDw4vUEFhe50/BGfX9rCNexqiIsERE/gwXUv6Lov23qrxlcEz1+TaMFUCGpI3B6aG5FL7+tB1JY8QDkl+nzMTNrd7i9HlXsda6yuDvVl59v46Ui9hQlAlQQ4pvTczxzZWaUiBF+CI5fqJgn4cSBvrGhNkpdviF09M8LSWlYsjeVl2p4+pvYP/G5JLHWPYSCEqEozi86hnxqbESPgFz4cuR6+LnZlLoNZX5gIbCGRw2zP39xKPi+dX4yuzy5MEJ6qSymHX0AKXp8cGlufJuwaIoARBBHqW0DE4TGEfHHrQeZ8Wpbm8PGhqaf+0rcmTZEtakf0sSV4rranFruMwJclLpJGMbSJtvzcrz3ENJcBDAYcEKkxeLm9PneTyMKH5nLm/lx1qwr9Cg/cI5/FxOp4btcA1Ngcdd4Mu0xCV2JQCjr+TvL6i0qdPH+Oo3ZMmTbL//9u//RtII4H/4he/AMuy4OWXX77gPDsqCjhMjT0bbrR0dQzqyRs3tOHj1VsmNZz5fHyR/+UnA213aq/1eQO9o/uSGvBehiZtaKKh9MG80dBWG2e7TnPjiU97eWV4eSJIRhgFAPTLJRxy4DLL6uL4rCyFD3y+BEh4/h0BHHw6Ghjhhio/hpaUEjg4dwyEf90PDi8e7ghhMTUOpSQBNm5MRisnUqJeI/X+SKz8k8NvdhlAEmCR9nkhAKbOH4JdQwvgD2t+aDQgYq1uop9hNEEyL28mL8PCK+Ggofw59QKTpnWw3H8eDMDx2+KhOaUEWlOLXUYs1rem8oGJG+207HAAIZVhWsceK/e5yqZX+fOqy6Vt69qvZVtNVxtySHlJY3B4AY+G5FL4rDjV6MVR3cFfCaTgMq/z4tfy8OLhjvqbQwUJhmKZ2Zq+DA5Mm2gDG6mu4ttj/dJWF2eDBxNMoceJ7yccw0MCIKZ7/8w1ua577+XFUZ303UCO1Aj1AhyxVj+tGrzA7szgHovHb4t3AX4JbJg6QWhbgJcJ7FihnkzSs0WXnV3bw37H8ftFDXz+3zQPjX8KILi3B+Zf5w/Z3hkUenFw0ZxSAjW+Mtc+ad5VSeXw6rhZRq8SLGeHFw8X4Qwa6VVJ5fBJYboYRkXHiHh/9liwrC4u4557LXC4QYHF6xOmG+EIPVcJPmxIqLDf7xx+0H3QPEzwxbQt3ksOJHA9PhCqKSzFNPhoS0qJPf4G/1LKtvRCx7XlkOTQomzXPqmXxtb0ZaKXxrr4yBgdFGTwr600BoKO8TkUcMSeFHD8neQFOMrLy+Gyyy6DQ4cO2fN++9vfgmVZ8Oijj9rzDh8+bPyW+49+9CPHt9w7mmdHhS/pnw7MFb03anwRuNH2UsDuKfIytqI1hGnD0Qss7B6WD58Uprt6N00QghunJgPQ69fLawOnKTD46tYEOL2qD7w8do5rTA1uGEkGEm/k8J4eyQUfXd8lECHBDpqaiAdHE5svwQ1pnuTZQechbDB5k/Bt0fiLBkykXvamQBC2pRfC0aUZcHpVH9iWXghNgciXLSRgZDIcaCNQMmq8gIQXlKCQ48C0iY5eWslIimYomoxKPq/OH4KHfLM9DYhYqptWD5kvevfweZKXkZeXh5fBwZ9LU6+rF7DEMkf/NyRH4vPbHo2DI3lZLo8OXua8YIIEAaR6ls+XgO3pVX1c4zJEK/MSXKHHRufV+yPg7dTdV7u8AEweHPw9gsYYnbclrQjenjrJZdiZoIgJnvD//Lp51QVYlzQGgvbn0jlgiObN0djegYCGMvfUkOAGvpufG7XADnGRYIoJXDxzTS7syco3whvp3uMYP9K9MXnM4NgLtLc5GuCIpfpJGmQU6433Zua4vAx53cTriX05NxrrEgrGMGE7SWor8fvUFAja405wuEHBQzSowUNL8EsjpoTP7dcr+zrKiBQmU+Mrg/dnj7WXc48PTO/NzHF5XfD/29ILXXnw9dADxhT+sTEhEj5CAQeFDFLIBwcd6+IrYf+kqa71qdcDwhueD/WIoZ+L5etsTKiADxeMdHl3SPnxY8br83H+MM/tODyRAIcUwrOh/X5JIAS/dkIBBwc0+ClZHvqC67w3M0eEG2uHVNoDmFIAQkNSdg/LVw+OGJcCjr+xamtrYc2aNVBRUQGWZcG8efNgzZo1sGbNGjhx4gQAABw6dAj+6Z/+CRITE+GRRx6BdevWQc+ePSEjI8MV74lxoKFQCJqammDmzJlgWRb84he/cKx3IXl2RBLgoOS/3h+C8NbLYVt6oei5YWrkSElqJFKogPt7c/IUeGPiNLFXUTIApRc5bahKxifv1ZIadLSxiA2OzWlFEH6iN3x1a4LtrcHBBe116WhvMYUbHQndwIRgoInABBOYQMDRFJABBoceFERIXh9ekEXy/KD5dMTrgzYMvQxZzPeNidMg3BgHb06eYq8jgQ7J0DCVs2gAQyrbUlmr80c+Bfhlmd/R2+plTJj2EQ10zO8zFnL+Mc02IGK9brovfn6Hyos03wQ3+HzTNhIUaQrIYVFePbN8HQSV4dau8IcbJtvPvxRmYHI5Nxn9pm29wF2dPwRfr+wLOzKXenoa8XdAdVI51PtDYjnkZbfWFwHXnxalOYx4XM+yuojgw+TNge+oI3lZdq+vBDik90I0T48adp4SFOLPb227YeblNca3wV74On/k0+fHyn1iWTDlhWUq3BTnAiPSNH+n/Xn+KEed6AU78Nq8Om6WqzzSxI3X1tRi2J5RaBvLc//pOhjbI73T1E8IOHg9gXXF0aUZrveh1AmCdUQTgZ4mT0T6/8MFI12AlMNGnFfvj3zhhQJ9HppsClWRIAdOv3LdbM+wEqyjjhZkQm17WTLBkqqkcjh+W7xre74OnoN0fNQrosZX5glCqpPK7S+lSOEsWIYtq4sjhAM9H9BAl7wP6HQzCUHh3hu43sG5Y1xeKPQ6nXuoO1QllYvgYWNCBRwtyBRDUTi4kUJ6NiZUwKm7rxbBBq7/zDW5dl703Dj44J4c6+IjA63ysB3qyYEDkVLvDPxPPVOo5wYm+jUUOp/mQb04KOjYPSzfAUR0kNHYkwKOv7EGDx5sHFX7ww8/tNc7cOAATJkyBS6//HK46qqrID8/Hz799FNXft988w2sW7cOBg8eDHFxcZCWlgZbt24V993RPDsiHqJCX0YNyaVwbv0VsDV9meOFSF+etT7vQTyjGYC08Vvf3sh+KnuRTdWjGZ1e4MOrp4432CWoUU8aHC+OuQnCTw+w3ct5Dww3pNEVuKMu8qYeasno514QTQQuSJCCAg0OOChwMEERuq7J20OCK9Lx4hdkJBASzWj1MkKp8fnKdbMh/Hg3OLQo294H7yXnrtuScSaVF8kI8gIRfB18prAn1OR+zvcpuSDz9TH1+sEVnapuQg8ObiR4efxI63QEHvLn2ut5ldaVwIYX8GhILoXtGYUQbukKu4flu3rrsRx6AY9oSSrfvGzi87Av50b446xxojHuVQd3pD5Gw+y18TPgvZk5tmGNy9GDQwI3HEbwfM9XR75EIq1LoT31MpCuBwXu/BwkoCFdx8OLh7uuq5c3B+3BP3X31faAtBIUoe8mCtKfHbnQHqBS2h+Hqjj/4/xh0JBc6jgHr7JX6yuDnZlLxPLEQQf1Cji0KNs2Hnv+4MpOVT9RwEHrDHxvnrxrgGOQcZNnGN12b1aey3tDamPgvX113CwjqKJluM4fgvDuXq5nRQIJUsiHaZ1qkgeGfnCYUNW+/9cnTDfCFZyHn7T1ghybEitg97B8cfwMCivemnK9CDdofmfXXOUKr6FAAOsn6t0geXF4JQ4WKNhASLA3K8+VL732r1w32+FVs4H9vjjmJlcYDoUvUt40r305N9rjWUheHH+cNc54vtK1oPvZll4ogh88LvwairTOhoQKqPeHHPCEgo7f58x0wA/uyVHjK3OFpmDaNbTAAT8UcMSeFHCoRFEPDmq41ftDcL6qmz24J2/IXGgDm/dK8unmlBL4tCgNGpnhZ4IkUm8lPzavhrfUWKUNRuxR2zW0AMK7rrLHAqHGspRMDRZTj7JkuHPjSTLmuIeFCUjQMTMaCeCQgEVzSomdJFBC8+XghHtneMESyRDFsBt67vifXwMpD35NGwNB2JuVB+erusEfZ41zGA3csOJGh8l4i2Y8StOSl0a9PwRH8rLgN9mLXT213JjgBpR0TNJx42diY/klTT04pHLFy4I0T3rGvOAIdSG/UA8sL68OE+BAA6UhuTTigfR4N/vzkrzO9CqDUp0seUB4laEa33dfWHl/9lgj4KDGrwlmmI4Rz/dYZSLsycp3eIugBwc/frovk+dFvT9kfwZTemd0xGvD5IFoeo9I749an3sATxPQwPm0LDQGgvYXYjriCYK/9f4QnF1zlcuLg++3RtjvF6XJYhiMqU6r8UU+1SvVjfxaorH44pibHP9XDFzUaeqnVYMXGOE7vicPTJvoeJ+ZQD3WE/snTbXn0TIjeXPU+srg82DAnm96FvFZqvdHxsLAdUyQgYIAChBMoSwYpiIBEsyz1lcG4cY4e7/ckwPzrvVFPmdM98MBR3VSOZxYPtgINnD6z/NHudZZH19pr1eV9J0Hh8n7YVNihQ04+FdQvMJSuKH+ynWzxfEpKChaR+ZxkILectIyvL7cC4V6WHBww1NzSglUJ5U7zocCk6dH5LrAREdCVfi61HsD/5+5v5d9HSQPkXdnjHcBDly+L+dGe188RGV9fCV8WeZ3eG/QL6fg+B0KOGJXCjhUoijgwJdgnT8EZx7oaX+CTGoUmhqBHIaYDDRqWL42fgacvGuA2GvoZdzxBrrphS41SKWEjYfGQBDem5kDp+7tB1/dmuAYCd1k9HRkOSYKHLhhRuejYW+CAhLUoICCz6ceHHSeBEVMEMQU3uKVuNcHhTT83ClAuRCvDtpA5HBo97B8aKuLsxuZ1LDiYMGrvPJ5XoajKVFj49TdVztc2qNtG63M0/V+2gkBhynRsmT6bwIbNAwqWvmSDBIJTpogp8nlnK7TFAjCidsHwcm7BjiM5Gjl0WTUS3V2NIO91lcGranFjvEy6LKO1Mcm+Iap3h+Ckyv6O8aO4B4cJlhiKv/PjlwIH+WOcLyDpBAXr/mSZ4f0XJvm4/08Vu5zGKYcgvD/tDf+4/xh0JxS4qqjJEhBt33mmlzYkbnUeM9M3iOfFKY7wAi/z3xeddJ3n4zl15leUx7ySj8Z25kAx8+Ez1jz+uTrlX0d73WpLuGJh2ia4AZ6mb46bpYIOPh7qtZXBm2PxtlesrgOhRzUk4EDDwl8VCWVw8f5w0RIQr15qpPK4aVr50KdP2SEG7je+apu9rHxfeI2zSklrnncwK/1lcGOzKVi+AmeJ7ZHKQih4GFjQoUdoiJ5QkheC3x6fXwlvDjmJs9wFu5xQe8HApDW1GIXjKEhOXgeHObwdaUQF4Qk3LMD/+/MXCJ6gUifvqUhPPgfr5/0pZX3Z481ApP18ZV2+A0FFzhNQ4e4h8faIZXwpznXOr6awr05EHysi9cQlViUAg6VKHxJ390OOGp9ERfbo0szHA0a7h7Me++8GqFext4fZ42Dt6dOEhvyXvl7GZvRGvHScWEjYtfQAgj/8krH4GDUJThao0Ty2jCBDGmaG10S/DCFpHC4wSFGc0oJWFYXez0JZPD1vWAJhxIdASESGDF9lYXDHpMBGs0IRcPx6RG5EH4sDl65bra9nuTJY2rYmww5CXRIxoRkCL1y3Wz4YN5ou+zw9TsCUCSj755BC2P+JY110/3x8x3gS4JxHYFsEhjhzxT3AjJ5FOFyCWjyMim5pJtAByb86gi6qvNeeRPc4MYmh7wmSMa9RWp9kQEs6RdWTHV8tLrbVHYbA0E4c38ve0wTkwcHPQ9pOU7X+UPwpznXwr6cG+310Hjh4IICDZo/Bfqm50sCHPx5xwGQOTSg3hMS9EDAHv7llfZ9jwZFaNk591B3G4xR7xivfOr9kbE4+Dq8vHFQtSNzadQySK/9oUXZ9v/OBDi8BkFG2Lo5rQh2Zi4xAnvpnfX21EmuedyLg/6er+7muOdSuwef19fGz7AhA30GKJzgiRvDHDjwvPj4Ebis3h+CZ67JdXn58H2/O2O8A5Rx+ELzo8fCx5moSip3fQqWG/BVSeXwynWzXUY9GulVSZEQFbovyYuD/pe8JrB+4d4edJvtGYViSAkeR9ujcY4QIB6OcrQgUzw+6Xi4B0lVUjl8uGCk6xpRQLGRnavpqymSR0dTIGgEGE8Ovxmqksod+dAxOl66dq7D84N7cjQGguKydfGV8MG80fY0HWCUwhKEHTrIaOxJAYdKFPXgqPVFBklDuCEZcLTh4gUfJMDBe6L+NOdaeHHMTcbea759NJDCG93RGtl4HA3J7QP+PRYHhxZlOwYRpA0KDjmkGHvacJE8NSRIYVqHrmcCBxxOUNCBIGJr+jL7PwIODjGaU0qgpX1+M/mlqTEge33wedJ6F2qIciOTf/oWk6knXfKqwZ6u92bmQFttHGxNX+aAWCZjJFqZNDUkeVmjxiMtfy9dOxf+8pOBolu6V2NVgi9Y9jsT4LivHXBwsEFBmxfsMJU703gx0bw+TAYKn0+neeiLBDY45GhILoWjSzPg7Noejh79aHUt/c/r7o6UZVqmGgNBCP+6n8MrwKuOj/YOoPPwHMNbL4eG5FIbcJggh9d/euxvTbkeGgNBEWhwEC79N0EU0zNoun5H8rJs2CAl/l6k9/69mTmwJa3I8Q6SYAUvR09lL/L8oooJjhxdmuHyNpHACE37cm6MCjaowYrP7saEik7lYSZ9RYXXHU2BIJx5oKfdtugImKdAlXtwcECK77aG5FKxfPI6o94fgg8XjHQAPQk4SJ4RHHZQkNGQXCqGlWC+uP+TK/rb5UUKj6lKKrevGz02KVTl9zkzXRCGrlOVFIFrkicKzQchyAZ2jvhrWV3gWLnPAQoonODzuFcHphfH3OTYjkKK9fGVcKzcJ+aLx/lpUZrjGvPjPLmiv+N60O0laELz2ZRYAV/dmmB7WvBQmU2JkTAZetzr4mXIQ48ff+mnZqn3x/r4yECi+3JudEER/H1h9DxH+Ar3fnl9wnTXNggwtqYvc/yn3hvr4ithc1qRDT4UcMSeFHCoRFE3yx2ZS+H06t5244g3JtGlUYINUuNW6gWq8UUGWjxf1Q12DS1wrUN70ryAxoX0cJsadvX+EDSnlMCpu6+G06t7Q0v7OA3SuBpSDL3kvdEYCMKW9hh6bgRxo+qvDffAF7/Jc4J7Y1CAYVldRJAhAQ3T/GheH/yYuMeHdPwX0vvODUucx++JaRwE3OaTwnQI7+7lGtSPGwamciUZcNw4MhkZvFw2p5TA1yv7GsNVJJDBnwV6rOuT5sT8SxrrpgcS5onlUXoGpDLoBT3oOpK3FQ9l8fIgkmBHHSlvvAzSekhyP8d1W1OLIfx4N8cgpLxMSfWgZHRK9Xa08tyQXAqnV/e2jzkavJPy8HqWmgJBaHs0DiyriwvicOPLC1ZgqvNHxo+iLvj83ExgIxoAka6vBAXw9/NgwNMDg9cDFG7Rz0pTCOIFSOr9ITi7tocnWJEAR1MgCPsnTTUeH7+31UnlsC29UKz7pPAfTB/ljuiUHhyShxaHni+PnWMPUM7hBgcc+D7DcErpHSaNy3F48XDPDiMsr7W+Mjj3UHcbcEieG6bwFAoa6LxNiZFBKCU4wr0uji7NsCGYFKaCMOSNidPE46PbHMnLcsznx4ZhFzW+uCrEQAAAIABJREFUModxz9d5KnsR1PjKHMCAhopYVhc4u7aHvR33hqDbUc8M7qXx2vgZrm1pfpvTioxhMhvbPRnw2kkQZGfmElc4jgQ56L7p8eMneinEoNsghODwQgo74WNtvDB6nhFgbEyogMOLh4ueIOvaPTR4CAsCivXxlXB48XAXuMC0KbHCsYyHpeBXWHQMjtiUAg6VKGpEtNV0hYbkUrGBV2tovHg1mKWGc50/BGfu7wW7hhYYjUipIUkbT9Ea9FIPBm2kocHxxsRp0FbTFbamL3MYJLzhILmPmpLJAOJGFQ8R4caWZNjzHmsTnJDgRQsDHBR60N+OJMwvWkiMdFxST7y0nRQ+QOEI/c97zLygFL2nDcmRr7qcXt0bPlww0r5XJgPCBPN4414qu16gA38bkksh3BjnaLyagB0aY6bnpzMNMro24SZoTS12gLnfZC+GzWlFsDmtyC7bprJvgh2m8uiVTM+3yc1cMmCkcskNFdo7jwbvuzPGw5kHekJjIOgoH1L9K/WsS/OjQToKOcJ7+7qeD/pukEAcBwq4LV1W5w/B0yNywbK6QGMgKNb5XucjTTcGgnDq3n6O4+SwRDLE6Xlzzw2TJ4d07fC+taSUQGtqsQtycNjBQUVDcin84YbJtueOtJ4ETND9vykQNO5T2ndDcimcuH2Q7anjtT96rujFwe8zH1MB0+9zZkJ1UnmnAhySB4dUBzSnlMDJFf1Fb0MT6Hhu1AKHB5gE7em9fGf6BIf3jgnW1foig+FSTycOEiRvCZNnByYKTEzr43ur3h9yrcuf09Or+rggC92Gwk6TRwKml8fOcXl50HXq/JEOL8kzAgFHc0qJ0XuCG/w89ATXwTAXvg0HLxtYwn3iPTcdA94D7mEi7Y97aGxIqIDfZC+G6qRyxzWi+R+YNtF4zl7AY118JWxLLxQ9PTB9nD/M5dmxjhxvdVK5Iz/6Gdhnrsl1LJMGI6XhKRSEvD5hunpwxLAUcKhE4Uv6zZU/sBuv/IVoggimebxxjC/fhuTIYFu88YUNo2h5dRSoSFCDNgB3ZC6F8Lbu8FHuCNtlVPLGiAY3qPtpR8GGl+eDFwSIBg44hKBGH/2PgAPT5rQicX06T8onGhDx8vww9bCbQI+XoWny6pBcf01eOA3JpfBU9iI4/7tUG3SYesq9esck49ALUvD87fj71q6OZ8RkbHgdR2cKUXlz5Q+graYrnLm/F3xZ5od3Z4yHPVn5sD2jELamL7NBR2tqMWxpBx4maNcRzye+DIEoh21SKIsXBJHqGA4yTJ4cWHe1pJRAW10c/GnOtXZ9LZU/qUyYYAEtq6Y6FRv/x8p9thFsMpxNz4rXM1Hvj4zBcfKuAY5wDAloUEOanxN9Z7045iZ4YfQ88d0hhbiY8oz2zpE8Heh9O5KX5QKWEmjgsKshuRTOrrnKvs+mcsHnNSSXwtm1PYxeaVJCb4EdmUsvqM5pTS123Sua0NjCVOOLhMF2phAV/hlr/u6h9cWpe/vZXhx8HS8wIr3DcB5vYz2VvahD76nGQBC+ujXBvkcUckheHFKoipT2ZuVBja/Mc73qpHL4tCjNBTR4OEtj+3vQ5L2B6+/NynN5ZPB135k+QQQguE51Ujm8NzPHFYpDQ1QQzlDvCQkamIAHhwkcPuCyxkDQFQaE/6uTyuG18TOMEKSq/bpJ20rb8GVYFrhXCqanshd5wg3pGvDQGFMIz5uTp3iG+dCv0HAvkQPTJtrbcQ+OdfGVUOeXPzO7dkglPD0i156ngCP2pIBDJQpf0uuT5ohww6uhRxuTknFHU2MgCOGWrvYLy6vRxPPggMPUk8Z7D2mPITYW3ppyPZx78EpoTS029vZzN1E+jy6T3NKlho0EKTjYQIOMr2uCBriNCXBIXhqW1cXuDafz6bS0vJnN58ajdAzRwgqknnZT6I4X8DAZkqYQFSwPHHI0p5TAqXv7wckV/R295NEa/F6NSVP5NG2Px3buwe8GGaQ9ciYjlhunnQlwPOSbDTszl8BvshfbXgznq7pB+Kn+cO61LAj/uh+EW7vCvpwbYWfmEtiWXmhDD+rhgTCPl0nJmwOfQV4eOdzg5dD06wVKJcDBe2fp/MZAEI4uzYBwa1e7nHIDk3sjSACOrsdBCf+lx3G0INM2rPAYpTqf75MaYzx8pNYX+YrK0YJM2JxW5Op9pon23HJIwYHNscpEe7+NgaAIMajx7fWe48cbDbTjNW0MBGFfzo2OaywBBule75801R6LwwQ0aP2A896ZPsFYh/E6hb4jz67tIYbB0HPm9eDmtCLjtZPaEn+ac22nAhz3xX8XouIFLNBj8LXxM4xwQ9ruzclTjB5fTe33mELQj/OHOcqU6d7U+Mrg7Jqr7OUUMvAxMSSwYAoHeXPyFBewQI8CCi/aarraIITmj+vgcb05eYrjueeeGVVJ5fBZcarLI4MDmj/NudYVbsOByNk1V7nCOyjgQIBDwz0kgIFGtgQS0ItDGoMDpw8vHu6CIPi7KbECwruuEgEG/p5e1ccFJuj2EriggGRfzo0uTxLcHwc8Js8N0/XZKGyD+2hNLXZBEAQPGxMi91AKb1kfX2l73yDw4OntqZNcYAPTgWkT7QFINUQl9qSAQyUKX9IrBy10gQSvni/JyDL1btX7Q7ZrtbSul/cGn+Y9eV6GJm24taSUQPiXV8LbUye5wlFM7p8m91H6y41qrzEkJO8LLxjAw0CkEBQOIvj2dHlrarENODiswGRaRufhNN8H3V4CJybYYQopMPWsU2MT/0v3ht9LKRxA8ubYklYEZ9dcBTsyl9oNSAnK0ca+F6wzgT8vUFLvD9kDj/Ie2GjApMZX1ilDVLDcbU4rgi3taWv6MtiWXgg7M5fAq+NmwfmHL4PwY3HQ9lw8hLd1h4Nzx8DerDzYll4IW9q9PHiZ7UhIC/+P8MMLdvA6QyqnktEieXdw47S+3bjBwXIpPKC/klHD61MOQySvDO4hYPqMLYcoXkYyLc91/pAdohJ+orf93HlBGR6aIi1rSC6F89XdXNdDOnc0vDoC901Qgz+neM3enTFehAp0HQlyNKeUQLgpLipw5WWl3h+Cz4MBV/3G6xC+z49yRzigGT0n0znvzFxivE9SGNDOzCWwshMB2Pvi3R4cJk/CxkAQzq7t4agjePuCwnisNyTvQ37vcPm+nBsdyyXYiL8Iz+jzIHlIeIWc8LCWXUMLXNtR2IBpCwGZuD4PQ6lOKofwtu6OdSRPkpfHznEBGu590pAcCb+mIICHvmxNX2bviwMQBBzHb4t3GeEcJEjjSFBj/sTtg2xDnP4igHhryvVinnguCECkEJWNCRXwUe4IcTmFDpJHB57rieWDPb09aAgMz9fkwYHztqUXikCE5o3XhHtrfFac6oIfdFspPAW9OZ4duVCEGzgIKQIO9eCIPSngUInCl/Q9gxa6Gn08PpO/JE29drQB25BcCmfu72U3rryMQVODnIINU4OSvrhx39iIeH/2WDi9qo8xHEXqUeXz+CCDHGjwkAk6/0JDS0zeGnQd/C9BCjqfGnSb04rAsrrY7vzo0k//Y6/3M9fk2vM3E8OQwwsTKDF5h3h5e0hGJc6XQBG/9l6uvtJ9lbx3cLo5pQQ+KUyH47fFO0JWTEZMNCPA63kxlel6fwhO3X21C3J05BnqTB4caxLmGUEaLZe0/G5JK4LtGYXw9IhcOL2qD4RbukLbc/Fw6t5+sHtYvu3lYQIdJtgRLaSFh6x4hU2ZYKpkxHBjBstHQ3IpnHmgJxxePFysY01ljoNqDq29ymWtLzIwKB0U1+Rl1BEIiAkHGW1JKYHwtu4ugOJlPJvgRI0vMtaA5BXCAYYENEyQw+TxItUDzSmRcTTemDjN02tDAloNyaXw2vgZ9gDY0jrS/3p/CD4tSnN5TErQintx/GnOtWJ9YyoT1ItHaiPU+socxmd1Ujm8+dO4TlU/md5DHGA0BoKwPaPQBqRekINC+hdGz4taV9B7iAPGRnsP1flD8ElhuuuZksJS+FgYHHZQ6LE1fZknFMFQD+7tQY8DwzHemT7BbgPS7en/mvbzlvZHwQoPZaFG/abECvt6c/iBHhwbEyJjVPBxONDo5v8lgLExoQKeHbnQaKhvSKiALWygUb6PPVn5UONzjsOB57AhITJQKffUkEJENrLjxvw+zh/mmkf/78nKF+GHabwPCjieHH6za2wO6vWxI3Op6MGxLr4SfpO92L6eNAwF825ILnV4d1DI8cw1ua4vqOC4G7jN2iGV6sERg1LAoRJFAYfJrTlaL5apkVfvD0G4pauj4R2tx483okyNUKkhiY0pfOE3tjfC350x3tVjajJsacOBNzZM8fVegIOGm5jCQSSPDSm8xLQ9TdTAo9Nb05fB1vRlYFld7Olt6YWwLb3Qnsb5W0gPOU2bWZIMTOrdQaclrxK6nhQuwHvWKeyIFqpC7xsania3YC8QsiNzKYSb4mwjhRsUUuNfeh6w/FLXfN4Tyw1JdEE+X9XNNvakfUpGZGcCHGsT57rKmuRVxL2PJOCxJysfPg8GIPzLK6HtpQB8MG80bM8odIC+aGN3cOgmhU9JXl5YP3DQwesgeq9pfcYNGWrMbksvhGPlPgcUkOpoCXJIy7wAB/42BoK2Ozwvf9FAC63DOeCo84dgS1oRHFqULYbASO8DaUwN+myceaAntKSU2O8Umg/+9/r1egfyc5OuRV270ekFNSh4QOMTIfrpVX1ELzQJWFCvxC9Kkz3DVKR56Plhqps47KrxlcFr42e4rqkEozD9auTYTlM/7VvSzwE3+XsI7wU+/02BIBwtyHS8l7w8RRFYSPUFb8MgFMOxbEygCu9LnT8y6Dufz2GCBBUkCILpj7PGidvQbauTyuHUvf1c+6QeFVVJ5fY543qS50V1Urlt/HIvFApjTq/u7cqDj8Px4pibHONvYELAgfWRFBqCxrfk/UCNfw5Z+GCa9Nh5iAcCnbp2EMMBB/Ww4JACIQLNl4eSbEyocIWo0HU2JVbAuzPGi14gUtgJT1vTl7k8NCjg+GDeaNjIoBAmDj9oPhsSKuBoQaYrhAUBxs7MJeJnYjFtTKhQD44YlQIOlSh8Sd89MNfVIO4I8DA1WhuSS+H0qj62W6CpwSxtLzUeJQ8S3jNFe722ZxRC+LE4u+fLC2Z4NTLq2DwONSQ3dZO7u8njoiPeEBwkcFf9bemFsD2jEHZkLoXdw/LhqexFcHRpBhyrTITwfwyC8K6rIPwfg8CyukD4qf4Q3tYdwtu6Q9tLATj/u1QIPz0gknb3ioxrsLtXZJ3H4uD4bfHw6rhZsCcrH3YPy7f3I0ERCj6kcBcTuInm1WHqVZdCBEwNzWixzrTHjJaRpkAQvizzwzvTJ9jLJAMjmmHXkWeA94Rj4/jMAz09vaC4MdKZXMDXJtwklisK9aQyZwJwFHjszcqDs2t7QPhXPeD06t6wa2iBXY6lsWakMthC5vGxY0xgVOqxleomarBKBi41RBsDQThf3c0V3mGqXyVILIUg0roW51Fj6vht8a6yycsx93iQyrxldbHXrfeH4A83TIadmUvs5SawTg1nCUjUtB/nqbuvts+Bv9uksBQKS/h8fg29fink+Ch3hBE4SEALy8GRvCxoTS22r7MEKur8kYFCKfg6kpfl8EDDZTVsW3q8jYEg7MxcYvT8kMrV86Pmi+9u7mVjG73+WZ2mftr/4+42nOdtCJMnx8f5w6A5pUSsC0ztEckbjN5ren93ZC51eUCZ3kNb05fZ3romoIGGtQQrKIzAeS0pJR0CHG9MnGY/f6b8q5PK4d0Z48VyhPuvTiqHY5WJjn1yeIHhUdz4594lX92aYOdNwQWGqFQllcOTw2/29N6QvDYkAGDyAtmYUAFPj8gVQ0zwej89ItdxjHQfWBdy7wtTyAk9frx/9Fpzb5c3J09xeYVIniEUdOD1qPOHjCEoGxMq4PNgQByAlIbomLw/Pi1KEz081sV/F4bCvTdwvYNzx8C6ePXgiEUp4FCJoh4cJsAgNYx5A5i+MOv9ITi9uje0pJR0yHODTkuNVL6e1PONL/at6cvg0KJsOPfglXbDjhsEvAHJDV+Tmzk3orlhLYVQSGNqeI19YXK5p54YOObAM9fkwonbB0FbbRyc/10qnPn/xkNbXRycWD4YPi1Kg2euyYXdw/Jh19AC2Jm5BHZmLgHL6gI7M5fAjsylsD3jOyiC0/h/19AC+3dvVh68Om4WfFnmj4xxsLcvtD0fASfn9o+Cr1f2hWdHLrRH4cfxDnDMAzQWvcb+8PJiMYWw0Gtugk8mo9LkwUHLBDcy/nDDZPsLJxR0mMpkR2AeNTKpEcifG2pISkCDGyGdyoODjMHBvYdMgMPLu0jadmv6MtiZuQS+XtkXwr/uB2fXXAU7M5e4vDpoeJgJvvHxOWioWjTIJsEOr/qLL2tILoW//GQgPDtyoV1WOBQ2gWnJaJfWpeW11lcGW9KK4PTq3sYeY9P7gudlWV0c/5sCQQg/Fmd/ZpXmIyXuxcFhzTPX5NoNdw4qvOZJ63g926Zns9ZXBm9MnCZ6NHp5YqA34rn1Vxi9eySPjHp/JNxn97B8aAp4f5WJ50nDSk3b8PPj5Y3DIRqC0KnGCEqcC/tybhS9OHi7AuuClpQSeGvK9a4wFamTBf/vy7nRVXdw8EnfX69PmG4sh/RZr/eH4IN5ox3PFgcOXt4akhdBVVI5vHTtXBc84IADPVwlbxHqnXH+4cugxlfm2i8FGtvSC11ARtovBSASBHl6RKSzj0MFy+pin+PH+cNc4EIy7KUQDUy7hhaI8zHfr1f2dQEEep3DjXGipwkeLxr70cJIpG2xbEjhPBsTKmBn5hJPaOK1z6qkcvGa4PS7M8bb15FCEOplI4WvrI+vhGPlPlf4C0IMmg8HHeviK2H3sHxYF18Jy3+kgCPWpIBDJYp6cNSwl58ENKJ5Y2Av1ZPDbxZ7ESWoYUoSVOENLNqYawwE4fzDl8Fr42e44EY9+eUNA1MvieQJwEEHN7alOH0ON7ihjwCAggwcH2NbeiHsGloAz4+aD+cfviwyeOKvekBbbRy8M30C7B6WDzszl9ifzJQ8KmiYiWV1EcNPeGgKz4fmjaEt2zMix7YnKx/enjrJHusg/ERvOPdQd3hxzE2OAR4lDw8vrxZcbvLgMF1/r55zk3eHBDU44GhILoWdmUug7dE4u/dN6oGVyrvXc4PLTIYD/jYkl8KHC0Y69sO3w2WdDXDw8CgeKiX98nkmyEE9ovB52T0sH07eNQDCu66C92ePdQxSysNYvMbo8PrCismziHuQ0XLpBTtob+6f5lwLnxalOXpxKdyQfiWYYZrPy2ZzSuQTslKdbzKy6HSdP+Tw4MB3SXNKCYR/3c8+D3q8VcI5cLhBExru0jtO2laC7FInQLRzpPPq/CHb8DR5bnCvDCwDH8wbDc3EI9HkyUNTUyDogP0SzKhlx1fnD8FL18511W9ecKPGVwavT5hufKdvTityXOPOBDjuj58PbXVxNvg2eWXw9sPpVX08PQ55nbB/0lTxXSXVEdjJRJ9HDjfpe+fUvf0cz4UUjmIKTzHBj2dHLvT04MBQi8OLh4v7ROO6xldmf3pWCmWhwKQ6yQk46DqYnhx+s8szgS7H68+3wxCVjQkRDwbqPUGNZylkQ/LqQC8I07oH545xeXXQ8/nz/FHGUJhNid8NFMqPiYe+SGNsbEqsgA8XjHQso+dY234vaB5eA65KnhomAPT8qPm2l4YEQt6dMd4FMXD6tfEzRPBBvTwQbiDYwOnnR82HtUP0M7GxKAUcKlFSiIqpEezlvowN0iN5WbAtvdDV4yYZY14NbVN8uNRorPdHPDfa6pwhKZKh6tVranIJpUBD+kKKBDR4yIXJW8PknfHC6HkQ/lWPSPhIUxwcmDYRnhx+s+19YYIY0vgbdD6OwWECHByIeCXchsMP9Px4Y+K0iMfH1ssh3BgHL4+dY3/Gkx4jBz7SF2CkQVdN1z/a+Bw0odv3hST8egUd+M0UrmJ6DkyAUDL+qDHSkFwKR/KyjL2rmDpTiMqDiXPFsWW4dxP3ePICIqbxOzgg2ZZeCM+Pmg/hlq5w9s1r4ZXrZsO29ELjWB1eII6WOwripDpHgmtevbaSZ9q29EI4dW8/Y8iKVKd7ARCv+ry23Qh5Y+I0x7PglbjBRT04qMG9M3OJ49O00nHwd5QJcjQGgvBR7gh7XW6Qm7YzAXiv8+LgEX+fyl7kCinwgh14r1tSSuD8w5e5vqgieXDQec9ck+sAIxLg4PPq/SE4sXyw0StHur+tqcUiHJNAUmf7TOwz1+RCa2qx6FEogY769nLdkfXxl9Yj/J20Oa3IHlAW7/O29EKHtxC9b7T81vlD9tdUKCSQgIQ0n4MA/F/rc3tc8Hyqk8rh9Ore9j6l53dTYoVdn9F5HHBUJZXbxrHkZYLThxcPt+EE90LB/F8dN8sVpoIhKhsTImEWkvcEDT2RQkuogd+SUuICJNSYr/U5Q0z4Mb86bpYDBHBPjOdGLXDADGkdemz8//Hb4sXwFno9o3lt8HPD420KBEXwgedN86bAYkNCBXxZ5nd5eODv5rQiOy8+COm6+ErYnlHoGoODD0KqISqxJwUcKlFen4n1avhyg6zOHxkIC2NxO2rUYUMwWgOSN7CpwffStXPh3EPd7YEguXHApynswJ54r3CUjoINPt4GhxvUiKJwYEfmUvhN9mL4ojQZzu8bCuHWrnBw7hiXZwYf8FMCGjRvNNYokKCDjNJjMHlzSMCDgxMJpHD4sTNzCeyfNBXaarpC+Kn+cKwyEXYNLbAHeKR5eY1TEs2Tw2sQ0o70pnMXYMmoRMhxrNwHX5Qmu0JWOgI6pOeBG47cSML8dw0tgEOLsh09rDy/zgY4TOWvI8+DCXB0NNExO96acj2ce30EnLh9EGzPKHQAEQlymAbGbQrI48ZIZY+XT1qHUYMUDV+6vCWlBNpqutqQw8vDSKpr8b8XcMbyh0YVeu/xco/HaoICCDj4s1PnD8GXZX5oTS2GOmKESTBcGluDjs9RnVQOb0+d5DDm6DlKwEfan+ldKF0bfk71/hAcLcgU6wsJVNBe+s+DAftecu8dCW7gdmfX9nBBMb4NP4YP5o125MXrMuncnhx+syfkwGvc2QBHa2oxnLm/l92e6EhqCgTh9QnTxeffBD4x9Iy/q+j7Cd8VDcml9kC90aBlUyAIHy4Y6bhvVSyZQlQ4wMDfGl+ZYywOU7jIlrQiqPOHXOvQ/db4yuC9mTkOwEHhCq53cO4YqGp/b3IIgse1f9JUVygLBSBVSeVw5v5eDqCAgIPujwIIyTNBAg+SF4MpDIUDFp4fPnMb2Dli3vglGwlSSACGLsMwHClEBfPfk5Xv6a3CPTTo+b85eYoLbFA4hN4hUh5H8rIc//k4HPz6U8Dx/Kj54mdk1w6phNbUYg1RiVEp4FCJoh4cXuNecGML18NGzr6cG+H4bfGORrQpH5MnB21cSg1H3uhtSC6FL8v8cPy2eNvIpKmO/Td5a5hcSGlPqxfIkLw2+LgS3Fjall4Iu4flw+lVfeDca1nQVhsHz4+aL3pnmL6M4uVxgaCDwxHL6mJ/IpNDDml9DitMIS3RQl6ohwqGtpxc0R/O7R8F4aY4e/wOfs7cswOvM/8fbRBSL8iBZaBRKENSmaIG5Z6sfAg/FidCDsnAMwE7k2Fk8uh4ddws+Ch3hN2rzdfvTIBjfdIcY+hURyCcCYRInlTRBiylz264tSuEH+8Ge7PyYGv6MjukyvSJWfqVIGkwUhPQkHpsJcAhGbD1/kiYx/nfpdrHJ4ENWiebILPUky+t89aU6+3j8fLk4NtiiIpU1zcGghB+orc9lgR9Z0jGNIceHIyfW3+FnY9p7A6elwR56PtM8towQY9XrpvtAhym+oPez6Z2DxSEm5L3huSN8XH+MMc4HHxfdB9oIDcFgjZUMkENCrhqfWXw9tRJIjzj96OzAY6mQBD+8pOB0JLi/Pwrb1PgewP/n6/u5qgDeFuE1wHPXJPrCTzpPa33h+Cz4lQXpKoh9wzLcr0/BG0v+qDW54SC1NOCj4/BjV8JYByYNlEMaaHeEvX+ELw9dZJjH3yb6qRyCG+9HOrbQYgpYSiUKTwFQ15qfGWO5dRrZWNCBZy4fZArHwQcaIS/Nn6GCxqgIc1DMLixjt4I1UnlrnmYqpIiHmf0GuO6eMzbMwpdAAKX4/WVvDT4PB5eszGhwv6aDL+OuP0XpcmOffLxNCR4gelPc64V18N9vXTtXJd3C267L+dGl2cI/ZLKpsQKl2cHwox3Z4x3fBJ2zZBb7FTVfi80RCX2pIBDJQpf0j9lX1HhjVAT+KjzR9wj3546yX6RmmAIn5YaQVLjV+rhagwE4fNgwB5vA3sxaGPNBDpMPSrSYJUmzw2TAcPBBv0Cypa0ItiZuQQOLcqG8H8MgvNV3eDJ4Tc7vkgieUbwX68QE2oEovcHhQsIOLzgBl9G15fW4ccleXFIRiYe456s/Mjgjk8PgJN3DXCEsaDhSK+j6esr/P5Igz1eSPgKNyglQ7MhuRS2pBXB+epuduNWMjTQIKHlGMu4ZAhFMy7r/CE4fls87Mhc6jAkMa/ONAbH+qQ5xvKHiT8jXjDEy6Ojo54euJ9dQwug7dE4CP+6H+welm+HytDyKQ1CzL2IeFmUDB7JZd0rTIXWg80pJRBu7QotKSUOgxUNfGk8Cy8vIwlC0/r5z/NHQUNyqQuISMADt6OfieVwr84fgtbUYvikMN0RqkLhgvSe4WNq4P52D8sXQyml8BQJoHg9o9J5SvUBjlniBSjoMrzvf/nJQEcYE4da/BoirHh/9ljHe1Jal6Z6f8j+3Cive6Q6Cw1lDsr4+AidcQyOxkAQNqcVwSvXzXZ0jtC2B3+emwJBu06iAESCnPSZ355RKNYJUlnYnlHoej8ElGRSAAAgAElEQVRIz3OtrwxeGD3PfmbpfaPeFFXsP/eC4N4SNNQDt8FltN45vaqPY798/ep2eGHy9MBfrM9MoTWY/+5h+a7wFWrE43Wgy+gYHBsTKuCTwnTRCOfGt8m7YUM7SKHQgYecHJw7xgU4aDjNybsGiJ40eNw7M5c4wlSkcBTJswPDgqoJzNrAtj0wbaIDjvDzpKBnHYMUu4flu2AIPQYc/0MCRDjAKfcKwbQnK9+GGji4KIaivDx2juvrLfyLK+rBEXtSwKESJQGOaECCwo2G5FI4c38v0YWVNwy9QIlpH7xxiD0g4V9e6RpMlIcRmMJSOMyQjBBpTAcT2PD6OgrG8e/NyrMH4Hx13CyXp4YENkweExwwcDjiZQgi4OBJGkSUzpc+CWsKdZEMS1MoASYcu2NvVh601cVB+D8Gwctj59jXKVr4SrTBSCkE4V4cEvCgYyZwKFbHylVDcqkdH9+aWmxvww0Gk+Ej9QZHM5pw38cqE20XX2qAdCYPjoeSZrvKYTRIZ3p+pPAqaTwPCXRIg5Xi+jsyl8LJFf0h/B+DYNfQAtH7iHtxSPUL/ZWMGF6/mQxdKUyhKRCE8K/7wea0Ikf5lOpck3HPjSJTea73h+z3AgcqUrlHwEHLsPS+eWf6BNicViQaalIywZt6fwjCv7xSDFWh09x7g7+v+DNr8uKQ0vuzxzrqEepxIQEInN6avgz2ZuW5tqXr8O0akkshvLuXY4wqDlF4XvX+7wYblaCGqezsycoXywyFTZ3Jg2P1kPlQ3w6Rvl7Z1/j8SkC9OaUEvl7ZVwSc0rPekFwKr42f4emtyttBL4ye5/kOwnmNgSC8Om6WCAgl7ww0sjlMoPM5CMFpDr6OFmS6ygkFIfhcPT0iV4QrNO0aWmBvLy2vSiqHI3lZjv/UA2VDQsTLY3tGoWMfdAyOTYkV0JpabO/HNAaFKUQF/x+rTHStQ/N7ddwsB5SgAGJjQgWcXNHfca4cMh0tyHSclxfckDxA6vwhByCh+dDP2HbUcwO33TW0QPRowfRZcaor3AQTQje+DPM4sXywYx4FGK+Om+UIaUH4gctrfWVwhwKOmJMCDpUo/hUV3njzMrR4Dw9fLgETU0Pa1GCkedb7I7144a2X24akBDYk0OHVUy8ZujwEhRofJk8NCjUwZv/1CdPh7JvXwrmHujs8E6TxAkyhHl5JAhQmULE9I+LBgZ+D5ZBDmictk/YjTUshL17eHPR8d2QuhaNLM6Dt+UQ4Vu6DXUMLbNDBv2TBf02DPUphK1IYi2RU8l51KSSgOaUEwk/0hnemT7B713nDkht2EkT0gn3cKKzzh+DU3Ve7jJBOBTh8s43lkpdxPi1Bt2jhVV6eHl5eHwg6Tq/qA+Ff9YBdQwtgSzuUk8KqpFAVahyhkWMCHTS06v9n712Doyqz/f8+E0+Io3AYSz3gUZEk3ekknUAI0FzDReROuCQEJCHXzgVGj3P86/F4KS+HAkGGTFI5iclJTAWTCjLkgDD6A+UghUIJP6VQy0t5t1BRR3FQRJL0i/V/kayH9ay9nmc383vhJNO7ald379633v3sy/o83/VdEtSVAmSUxbf3Qw5+za7vD/hNAJrCDemVjs3+EJy/b6TaB3pdl84LXkUF02lwOQzCel4do5RSJrjBzytJ5dHkDykjTQ5FTLCEvtZ55XPVBDj4tHpfBXyQPdXxH/FXeo9Tx6A6Th0DSYUhfW5PLVGlpt2UI9gWmvx9XkM0Fa7W61Rx0N+3K32t8R6PwelgUpg9fEuOOn8PT16uDD9xNKlGEbyfXZ/gajpMx64xBValIU9dCz8z1Kq6wf+o3lcB398Rr9o0hws2Lw2q9OAKDVRLmDw2qhOrVIeClC5GfTgwlcWk0KhOrFLeEVyhQd8fnZatpdpg4E1/z1/uHK2BGqrgoNuWUj6klBEJYLQml2nzc6VDe2qJBlHo67aEdfDGbXO0gJ+DhveXTNd+HwcNJsiBI1eQ0LHZH3KAE2osKm0Pp1NAQV9xmeNZi7SUH+qxwZensGJL/Dr4c8ivTaOAozqxSjMsRbiBY9eYgqjJ6AAcooAjOogD3qT/o99k1Ka0oA8zjUl91Rx2j82PqFdHWqcpkOM91Xizbksphd76WEepPPoAKI20F5MGq1KwS3v8JcNQW1UUDJ52phfCmYJ06DkWgDfn3upQIdiAhglq8AAOVQ+XM1LAQafhZ/rKIQifxzTdBDmkaW6eCQhl9o/Pg/Afh0G4azh0jSnQPERsRqQcevD/1ebNwX06eEAp9ZZhL/kXazLgk5ygmk8K5kznDO8N5ucFX496iG0dom1rMAUQCDh4W5XarU2dZANx9LzjKg88tznoMPl0bO8HHb1PxkK4bQjsSCtyQDkOUGl7k9onV52ZVB28PUoqtqb+nuZd6Ws1+bp0vTa9SvBbapvtqSVwePJy8TzgwAMVHCYgSO8DP95zowq6pf3iMELyd6rzVsKX+WOVqoFuyy1Vpc6wXSng59CBTnt/yXRt2zY1Bv0PX5u5ADoCxaICxPSKQIenNlHFhqTqQChiuoaZ/n/eruixHEwpKhRwoNmoDVbwe05rchnsSl9rvedw9Sn+9/yclzp8sJoKb3+8Pdd6+0q24nspVcQEDiTfDlRqYDUPnk5ClRz1vj7jXa4a4e/P3zdSBfSm/dmZXujYDk/fwN/HgQFVmpy/f4T2u1HBQdNJ2lJKteBeAg1SgM/fc4BBA36qoOAAAtN2JAXHlvg+Hw2qdrGpNvi0bQnr4Ps74lXaDN9H03o5rJBSSfi8fPrRadlGRczW/t/F/TcQWpycPc+h7JBUG5LZ6EuTVkQ9OAbgEAUc0UEcKOAwwQb+INrgq4Dz94+At+fPEqXEkYAO23T+kNXg6/P5CLcOUWU93YAG73U3KThsaSgmVQBVDPCg5vx9I6H7tfFwZMoyrUKIbZR6lGn6SaTwQoITfLrHEwM70wthZ3oh7EgrUv4fdDn+Pb7nI19OUoaYgkn+O2296riOXelr+6qwPHst7M1Yo8p18nQAU7UVU9UVt2CS95LxB0/puzfn3grnfnezKAfnvaRSAGA7j6QgsDW5DD5fPU5ta7ApOHgb421SasPSeWBLzbKpPEypKxL0oNWMusYUQHjv9XCmIF1TIPE2agOupusXb4s0F58GtVKaQ5M/BN/fEa9SHWjAI8E33gtvC3bxnoHbenPurUqNYYMXUhUVaaz3VcDpVZkODw1pPzmEqGafG5PKIfxUrEPFUdt/n5POSUnZwc9Pel5L90jc78akcugMFDnAhg1w1Pv6S1U/GetIh5PABb2PtiaXQdeYAu1eyf9Hvi4MviNRfeDrq1mLVTug/wH+J4MJcDzS78Gh0sCejouomgoC8GZ/CMJtQ6yKDw45Dk9ebrw3ceDRmFQOr2Yt1v43U7tu8vf5gnDFjWmU1BwUEmyN71Mp8JQSvp6axL7KJRxo8Hkbk8oVnKDwgQKTOm+lY9+kVJXt/eoICkGpv8WejHxtWx5PjBb81yRWwSc5QYfHBX/lkIMCCAQFPJin85u+R1ULKl94Ss7WeN1HQ1JW0GX4fm5LWAef5Y3Xjh+HKFjqFtUnFHaYDFZx7AgUiyqOLfHrFLTh8AMhUvjpOG2ZjbdcSnU5MCHPATcoCKEqDq7gOBTMiQKOAThEAUd0EAcT4OA9UrXkgefw5OXw3qIssZfGDXDYlBtSAFePcKPpUqUKt55K6cHflopi8tcwVUThqo1d6Wvh3F2jILz7Gnhx4koVTNnUCVytYZLamyCCbeTBH0KKnemFCnDsSl/rgBcUavDgkK7jciAHfralr7j5JnCvjr0Za6D78aEQbh2iUld2pa8VIYcpfcUEPPh7DsNs0INDjlezFsOX+WMdSg43ubANAvJziwYYL05cCQeDuVDvG1weHNW+JVr74+3X1DZNQI4rQCQPGpO3jOThIZmT0s8dgWLYN+526D3ih70Za6C9fx7eLrmiw6QwotcySVVEU/f4tZEGu9ijj73BpnZV75NVHrz319Q+630VcOGh69Q2OMjmgIOOXD2C8zb5QxB+4WZo8odczxtJgYGf6319PhPN/esxpaRIYEM6N7nfhwlK0mNzpjDNocSg91v+v+H4SU7QcU+kKQp0GxT6h1uHOFLaONSg+9yYVA4XHrrOmAbDf1OttxKey1zt+E9owDyYAMfDt+RozxZ4DTEBcz6tyR9S/6VJ+cHXhWBSeu6R1BwXNwx3/H9SG6739XVe1bH/i4IHDJi5/wYPfrkKin+H68Dv31uUpc0vQY46b583hpSmQl/3jbvdodrg2/8ge6rDn4LDgQZfhQY46PqqE/u8Q2igzQ0spRQNDhkwjYRCEQoU3l04Qwv26T5sS1gHr81c4FBS0H2kwIcfCw5FOOA4nrXIsT26/kPBHIcKhcMTrtjA6fvH52nTOLxBsMM9OLbEr4MPsqeK6SmbR6+H9tQSbXscdHQGirS0Faymsmn0emj2h6ImowNwiAKO6CAOkgeH6YERHyx7fn+lGKTVCctROa9b0EYflqlyo/vxocqRPJK0FHzo45Juk8+GDW5IYIOWev00dyKE/zQCjkxZpgIjDjRM6RcSzKCfbb3TJpUFDQB5ENg1pgA8nhjoGlOgfYfv6SsfpcCSQxJTkGnz+aBBJU/PsaXtIFi6uHEYhP80Analr9VSCrjBIzd6lP5vyQOBAw0ONjBQMCk7jk1fovLl+QOmCQTyc8ENCOIyDb4K+K7SB83+EDw4KnfA36Tx2vR7X7bYHqX2aYIfbuDD5uthS60yKTykqiudgSL4c8gP4WeGqjQrWlpWap/YJjmclQIf2vbwGsghB7YT2mZ/vPcGVV2Fww03SF3N7g/SPQG30/tkrHgO4PWeKjhs4BuD6/bUvqoVPKCncEIa+XobfBUQbopV63BLb+HARLr/8Wkc2tPpB4O56v5mAg5ciYH/8bsLZ2jXIA5Q6X+K83xdkiqmeUrqDFz2k5ygFdLS93jtokE0/T8GI+Cg52ZLchlcePhao/qKAkz8H9tSSuF41iIjzOTrwQosJh8O2k7qvJXw9vxZDjWhdG+p9/X5qtFnNq5ykFJHeC8/V0vsTC90LM9hAf4O3lZqvZVaystneeNVm6LT8bUmsQr+HPKLChMKRb4uSXVADfpa662EAxPy1DSaooLTdqYXioG9KfVDUnO8mrVYC/z5utAHg6en4HHrfuIqMW0H3x+bvkRMJZHUJhy0NPlDGpzi+/f+kuki/DCBCwoddo/NF9NZcH0dgWIHIMHxzbm3OoASX16qlLJ59Hr4IHuqQ8GB8+zNWBNVcAzAIQo4ooM4uAEO+vBS76uAc3eN0h50LlfB4bYN+lDcmlwGPdVx6mFMkl+aes+lXg+bWoNX4LB5bXQGiuDAhDzoPTgaXpu5QCkUeIlKHpxzsIHvTaqHzkCRAx5IoyngQ5DRNaZAjRRw4CuOtul0GgcoPMiUFCGYCiOl1lD/DjeDUmnajrQi6K2LhXDHr2FX+lrRjFRKNTIBD1PvObYl6ulhU3FgWzw6LVs55Zvk3SbgwQMp6byiAUqDrwJ6a4fAw7fkDPibNF6b/pC0WGvDEoBzGy8HeNjSWej7SFJYeBoLGpH21sfCOwtmQkeg2JGywsseY9BEwaxJyUEDHtprb+rdRQDy86PXQFtKqRFAmIJ6qU3ywBo/N/lDcGBCnmqzHADwFBXp/kKnNyaVw08PXA8tyWVawCapNSTIge/rfRXw8tSlKo1GWhZ7QelvrxbWJ0EMCXRQSEB72Ol9zZS2QsEVVu2gcEMaKdhq8ofgw6VTHKoRG2BBEOd27aK/WTIbHYwpKlzB0ZJcBr1PxkJbSqmY/iipOJr9IThTkC7CDXovod89l7laBPD8fMeOqZ3phQ6VkPQc1hkociiapPQUCWRwHwuECWervBpcMClD3l04Q51bPA0GP39bnqT2zZTK8vb8WZpKhMOO6sS+srM2MLAtoa9KCc7PFRy4zwhguKcGDc5NYGFrvF4pRYIhWBaVQwb8bWervFDXvw9c/bEt4VIlFWkdW4R10pGrb/g8b82bbQQ8XLnBj8X+8XkahOAg450FM0UwsiV+HZyaM1fbDl9HTWKVw58DX9+aN9vhvbFpdJ+Ko2tMQbSKygAcooAjOogD3qQf6E9R4YEUPuQ0JpVDuG0IdASKjQEZ7xWw9ZzRh0H+MFXfDzcuPHxtREEkhxpSz4dNuYEBrpTWQHPrOwLFsCcjH8J/GgF/uXO0WOrVVLXBZhhqSguRQIGkqOBwAuEGDQh3j82H3WPzweOJgd1j8x3gA8fdY/PF93w0wQ+TwoMrPXgwaTMl5cdTGjsDReq/+a7SBzvSihyBJodWEtDioMMmK5ZSoUxt8/0l05X5nNT7yV+p8sl0nklBX523r/rE/y2/ZsDfpPHaVJO0SLVF/iq1Y1vbjKR9unl3uIE4G+ygZsSf5k6EcGdfdSVaAhnbKPeI4e3SpuzA8bWZC8SeXdoGUd0WbopVHkdSQM7TUWzqBfqZBtD7x+eJoA8VHAg+JOhNv6tJrFIQPLy3Dx7ynmnTfYeqCuj6w3uvh3qfvWystD7bZ+kex893TMPk/wu9J0ppBw2+Cvh89TjoCBRraUkcWNBXXPbHe250pKnw9xyM/OXO0Y795zCL/nb0MJCeBQYj4MBzstkfgs5AERyZssx4XtL7Cp7Hb82brYFM0zI47kpfawUbvK18VRRQ5wn+j7xN1yT2+XCcKUzToB5XcUhqDAoSMDjG6Y1JuneGBDpqvZXQ/cRV2nx8O7XeSugIFGv7xOEKPb85IKHv8ThQIEPhQE1iFXRvvlodI48nRoM71BfEBABQ7cFTVGi1kcakckd6CH2t81aK68R9ODVnLtR6K0VAsS1hHfxw900OwCHNi+kvPGUHlRTS8jvSihzKDyk9hS6H057PXKXAkDTft+VJjmOG8x2evFxbVvqem5AiyDg5e54jRYWWio0qOAbeEAUc0UEcuAcHD6pw7AwUwZtzb1Www63H2W2aKThTD63PXuvIL5bSAzjg4EGoCWzwqho8HYX3vnYGiuDL/LEQ3n0N7B6br1QCNM9eUhpwtYabtwZXZthGG6BAoEHfI+DYk5GvTcP5+HT8LG3DBD9saS44unl+XK4JJAaNCDreWTATLp6aAvvG3a5SASRzR1NZ2RYhuLSlB0Sq5HjjtjlwpjBNC8ZsPaAmaGjq4aYByvaMWQP+Js0Bh9Rm3aa7wTmbwsPWLrmBrsmY1OTNgfN3jSmAC+/Ph6PTsjU1R2uys9IK9+jg6VRcsUZ7faX2yD83+0MQ3nu9UszRANx0/ZZSEd0C/J6aOHUPodvgHhxSO5fuF3sz1sDusfnaPtuUHNXsO9xXVNeYQD0GTVJQyNfH4Q89byWlRIOvr0SnpLyQwAOOaDaK0Ehalo8Nvgo4GMzVoIqU3sKX/2JNhgOKSP+P9Dtp+6hJHHxlYvk9oS2lVPmGNQv3DPoe52lNLoMXJ650dNTg+cuhB12XBNu5guub0hQNopmex+p9FdD9xFVQ76vQAAQFFlT5YFJkcOVFDVlOShmpSayC95dMNypGcMR2L6XK0PGlSSscEIbPx0vYcuXJvnG3q/OZKzgwsJc8MBAS1CRe8pGgYAArfmxhcIB/h9+jimIL20Z1YpVSVtHfSPfv+cxVmp+FtB6qWsHt4vq+Lkl1/D58xd8ngRkOHXgaCbY5rljB79EjhUMO3C5uh5bW5ZVUuFJj8+j10BEodqg6KPCIenAMvCEKOKKDOJhMRumDSmNSOfTWDlE3R1NPnfTwa+pJ4w9HCDC2p5ZAb+0QMS3F9IBu6mk3KTYQbEg+GzTAaE8tgR1pfcqA3oOj4cSMhVpAw701pGCcB0M2Tw1MSXGDGRLc4IEdwok9Gfro8cSogIACDfxeAhwSEOHB418DPUyKDpNPhymglFQ0ezLyobd2iCqHiSCElvSUjEcl/wMpkOS9aRyySW21yR+Cr0tS4b1FWSrAc0tZofDCdv7waYPJg6PWv8jRVm2vkcCOSFNZTMoOm5+MzX9Hgh3o5dNbF6uUR9ws11YFyNTba0pdoUEOD3yb/CEI/3GYw/OIqjc4ZDMFSaa22uQPwbflSY5gGRUcpnWa2nqzPwTh/TdqPiI2FQaCClx3Nfk9tNyy6T5mU3SY7olS4M/BxcnZ87T0Iv4fScCiyR+CixuHqVK3FFZIy9I0lYsbhqv/oJZ8L22nzluprpOmlBb+39V5L1VT4c8FgwlwPDI6x3HeYcpJW0ppRIoM5d3x0HUOZZakTMXvXs1a7IActB3QV1yv272mzlsJHy2bDA3kXJIAh6TikAAITusMFCn1A10XBSDY/iTlBS5T662EY9OXaMtiQE739Z0FMx2KCw5FPs2dqH3G9eB+4zUXU1S4ymNr/DrofnyoYxpP0aBBvKRsqPdViABhC9kPkyqitv+ayhU0+Ir7TyEGVWlIqg/6/txdo8T0F6ry4EoVKW2F7rfkOUKhw5b4dfBVUcCh0qDbRMhBwQiOX5ekOtaJIKMzUOQAG1TB8cjogZ/e+/c2RAFHdBAHG+DAh5bv74jXVBv8gY335pl6smy9eg2+PtO4cMevoS2l1CG5jTQthT70S5BDKvXKvTZQkbF7bD5ceOg6CHcNV9U6eLBiU25IFRs42DAZJEqQwNRjTeGECWzszVjjABw4DZfZm7FGm8ZHnIcHmm7wwxRU8h50ekxMaQLUkFSCS9zE9WAwF3qOBVRZWQQdrew/N1VYkQCHBDo4iDO1WQzuEHLQAEI6p6ReYFtAOVgBh61t8um8/fM26dZGuQmvZKRr8pSRVEe0Agsf6XUEQerLU5dqBqSm9knVHFKvrgThKHDj7RVhdmtyGYT/OEwryU174aX7gFtgz6HEwWAutKeWaMEyBRymwEtaX4OvAjoCxdD9+FARkEhgQvquzlup0vnclqefTecmne4GbfC/ODVnrhFOmNQYbSml8FVRQLue8JQWDlMak8rh/H0jHelC0vx0/87fP8IIOCQI9VVRwPG/DTbAQU1GKZxoSymFL/PHilW5uAEpzv9JTlClp0nnMz+3P8kJWgE7bQ+NSeVwpjBN/N94u2xMKoe2lFKtDUsqKAw03VQXqM6Q0looFMFUGgSPfB049vz+Sqj1VmoQhAKXWm8lhJ+KdShKaJBenVgFHy2brIENSXXy0qQVsC1hnUPBgfNiigkP3KWUDh704zInZ89zKCrour5Yk+GAJlQ989a82RrcoNurTuxLO+JpMPQzBxP0eH2+epw6JhxKVCdWQVtKqQNgSGBnEwER+L7Oqys4qMLkeNYiTXnCVS+HgjnaMaFw5MSMhQ6TUXzlyg+u4PjvwNwBf236exuigCM6iAP34OBB06k5c+HNubdae+tsD3lcqisBFLyZhndfA52BIrHngaapuPWEmHLXJchhMxENv3AznJozV/TasHlr8HQUbrzJRwy6TGkn+L2ksOBBHgaCOO4bd7v23uOJcUyj7/GztC460u1ysGLz8pBMTE1GpfS9m9mjyZ8Dj3/4maFw4aHrYEdakVhtRSrZaaqwYgoiTcoOCXJ8VRSA9n6JeIMhUHDrFZZgIb5/aBABjjr/QmM73DfudrH9S+BDgh4m2OGm7rCpjUyQo10AG/SzMiCtHQKf5ARVyooEOWwpVFLPr5SmIvXyUiXdhYeuU8vxtsmDHhP8luAbQok/h/zadjFFxaYMkPYBA7LuzVcrFQefR4LuNDCj+37h4WvVPlcLy+BrnVe+x9nOVWnfKVR4d+EMDSpJcINOa+i/P4b3Xq+CZhsMof93R6DYsT0JkND/7Mv8scbrlaQyox0j9LcPJg8OruCgHS1oAisBC+mcbUsphecyV4tQRPpM121KP6PjxQ3DHUpc2maxXTb4+soX4/ccNFDAYUsVoZ8bfBXaMlzJgdsOPzPUAVPoeViTWAWHgjkKcHC1CK5vT0a+6JlBwUpjUrkDlHA/j966WC1FhY6ooMBAXAIIVNnAvThw/tdnzdegBk9feW9RlvY9BS3ViVXw/R3xjn3H7dZ6K+HcXaO05VAZIUEYDloOBnM1eMKXP1OYJqa9cNUKBRA4HxqNSiktNYl9qh+uXMHx2/IkB/TB5V+buUBbhpuN4jSq4MD3janzBvy16e9tiAKO6CAOEuCg4OHs+gTthmgLwkyj1LPjgBsdv4bW5DLrzZkGjVydQR8aONgwpaNwsEEDjJ8fvUZV5JB6Y6VA21SRwc2TQjJPNCkxKFiQgj3b+FzmavB4YuC5zNWu87qNJohiCiYRfJj8QWxBpakErQSUbJVWjk1fAhfen688VHjaClVz8BQW3pY48LD1mJs8Dy48dJ1SK/GggQd5prQA03IPDKIe0v9KXqjabyRtUmqjbuokG/SwtUuqNpLSrCTgwYEcBx2dgSL4LG889D55KWVFaqPo08HbYySVgEy9vhggNyaVw+6x+fBZ3ngHhJPuA/w76fqPbRPX1ZhUDj8/9hu1bargkCCHpCyg329PLYHw03FaVREOXmwqKHxt6U9PNC0vQRMThKQgxARuKFDAaw0HEzZg0eCrgBMzFsL21BKjikMCWo1J5fDD3Tc5lpFSZHCf8T5p+i+ka9Jzmasdx2QwXZ8eGZ0jnnfN/hC8OfdWdZ6azk1UdOD35+8bKa5LMhVu8ofgeNYiDXrw85qOr8+ab4SW9Bmv3tdXOpmqt3h6lwQ9OBzgio8Gn+7rwYFJrbcSvi5Jhbp+6MCVG/S+h8CEAxXcNrY1CWzgdPytdDk+/7m7RkGtty+FDtMiuGcHqjg4/LCNdJ4mf8jxPQUOezLyRZ8PXM+ZwjQtXYfDjJOz5zlSSCiEkPYdfz+FSTxFpTqxr2INhTISLOHwB1+fy1zt+J7u09Fp2WKKz5b4vuowW+N1sEFL0CLg2MS+2xLfB7Y2se/wc2MgCjgG2hAFHNFBHPAm7UcTSksAACAASURBVPH8CjyemOgYHaPjoBh/BQP9Jh29NkXH6DhYx+j1KTpGx+j4tzgO/GvT39sQBRzRQRyiN+noGB0H4zjwb9LRa1N0jI6DdYxen6JjdIyOf4vjwL82/b0NUcARHcQhepOOjtFxMI4D/yYdvTZFx+g4WMfo9Sk6Rsfo+Lc4Dvxr09/bEAUc0UEcojfp6BgdB+M48G/S0WtTdIyOg3WMXp+iY3SMjn+L48C/Nv29DVHAER3EAW/S9960SpXX+iQnqBk2SYZB/P3m0esdbtHUCImaFtX7KuDnx34DbSmlDiMoyZjKZlzKneglQzZeUrbJH4LtqSVwdn0CXNwwHNpTSzTDPm5GKpWRbUsp1aoh2Kqr0LKxaJhJXyUjUl5BRSoRazNMNJmSejwx1ooTOI2XkeUlZfmrrWyszaxRKr3JjRp3pBWJBo1ozIj/Bf3cSoxCpVKwdNyTkQ/dJ4OwI61IlejjZoxStQlTdQduNsjbsFT6rt5XAeHnbxCd5rlpmXSOUeOvbQnr4P+7cdWAv0njtakmaVFE7czW/mylYW3VU6RSsabqKW4GothOTWWKaelXqfLTzvRC6D6RAXsz1ihjUSzzSdumZNJpMgClVVBMpoFoKvjjvTdAsz+kVS2QDPMkkzxuUEfvB3hP8HhiNHNBaRt8ecm8rzqxCnalr4XOQJGqoGAzvcPyg7zUYXViFXxbnqQqBnADPL6MZKS3Rdg/0/Gh5oZ7MvLVseDXAV65glaZuLhxmOO/lKpD0OldYwqgvt/80bQNPv2b0hRx3SYzRaxqgL/73wbR9em+m/KMVeLQEPOHu2/SDDttpuz1vgroGlOgjEBNlU7oOXx6Vab2md5bJFNPLI/K2yNt12hOWeutVOaO1JCRmztuGu0suSmNrcllqnIFLQHaNaZAnUtfrMnQzi1uIrk1/pIh6GayPb4fuCytksFfeSlRui6cfuGh68DjidGqbmy45bdqxOvIhlt+CxtvWQ+PjfqtGul8G25xTsN1vbtwhvYZ1/No/3reuG0OPDbqt2r7uH78rYeCOWr/+brpMrgP0nw4HdeLx+LihuHiuvH7LfHrHL+Rbks6Do+Ocs7/2KjfwsM336HmPzVnrrYMfvfYqN9CdWKVWvZRMuK0j5ZNdqz30f7XQ8EcNY1Of/jmO+Bfb1g94K9Nf29DFHBEB3GgVVQafBXwae5ER5k6W7BmcqKXHqzRnf+jZZPh4xWTlJs3hRBS1RRehpO7iNPAQKqUgpUy0AF+V/pa6H7iKji9KlMsASuVeaQlX3llDxOcoEEWhwVSBRSsEvFc5mptfD5zFTyfuQqey1wN+8fnwfOZq7RXOh6YkOeYRr/zeGIc8xyYoI/S9Ei3gfuK+0t/A32Vqr7wShdusKRrTIGjxKxbAMqDUPxvd4/Nh95DCXBgQh50BorE6ipuwSi2RakcILZhnFeqEtSWUgrh/TdCS3+pSw5QbGUo+fk2mKoUNKTM19r85Y5S+7ONpmpBtsorHJBIpZBp+0RwZ2qfvJQsttVd6Wsh3DUcDk9eDjvTC2F7P5ylbXVX+lqxXTb7zSUn6bWXlp2k01uSyyDcNRxaksvEMqISSLG9UjDdmFQOHk+Mavv8e6nKg1T9Aau0NPlD0Fs7BJr8IRVU2u5l0vd13kr4aNlkVUqS3+coHIokaOXVU6T7JT0er81cYCwPK1VSaUwqhxcnroTtpPy0qZIKL1v955DfUWJWOv64/NFp2cZysaYqN/RY/8cguj49MjpHrORGr/fn7x+h7hdSRSP+TNOSXAb7x+dFVBUJx64xBSKY55W8GpPK1f9nA6J13kpo9oegNblMa++mzig+3QTjjk7LFsvNIvyvSayClv6KerRDoIa91nkroWtMgVgthW5337jbHcCWV1TZnlqi7SMCFPz+q6IAeDwxYrlU3Kd6X4UCoxTAYuef1EFBp+3NWKMBVg5JsVqJBHS3JayDH++5UQSU+L7OWylCaQonTWD5s7zx2nHj39N104onCMw4BKYlaun2cD5c7vs74h3rxHkovJa+/3jFJG3btGrKazMXaOVjKfD6t3+JAo6BNkQBxy80fPDBB7Bq1Sr4l3/5F7jyyishKSkJHnvsMbhw4YI237Fjx2Dq1Klw5ZVXwj//8z/DnXfeCefPn3esr7u7G/793/8dRo4cCXFxcTBx4kR48cUX/+r9w5v0g6NyoTNQBK/NXCAqJEwwQyqLJ5WUxYe2HWlFcHHjMAU3bKVgJcDBS8NiTyY+PLSSV0lxsTO9EMJ7r4fPV4/TlAG8rCiFGjhStUWkYIMrLXhpVVrClQMOKVgzgQUTlKCvCDhenLhSm+/FiSsd09yAB1+/DXbge1MwyT/bgkqbIkTqaef/oansb0egGPZk5EP4j8Ng//g+yIHthsIObFsS5JCAB32Qlcpy8nZ/PGsRnPvdzRr8i7Qnnn6OJIAYKNemxtR5xjZFzwnpfSTwwwY+TLDDBuKk9ikpQEyAgwNXrhJDyNHz+ysdME5SgHDYZnqPbbLe0E4bk8qhPbUELjx8rdY+eRvl9wKp7fL3WCb24obhjqDLtg7p/MAgfEdaETyXuRoak8qtvd82cN/kD8Fb82ZDS3+Qx38fLV9JAy8b8LftOx6Lel8FfL56nAg2JGiBy7Ukl0HP7690KM9MI87z0wPXO645UqlYnNbkD8GOtCIjgJI6PToCxYPy+vRof5lY6bxCyLEzvRDaU0vE+4IEK1qSy+DCQ9dZQQjv9DkwIU/977RcLAcc9b4K+CB7qgJa0v2llrTFMwXpDqhXQ4JdCg84hKBwA6d9vGKSUWGC0xp8FXAwmOuYj85f662ED5dOsYKXWm8l7EgrcqhYOKA4nrVIU6ZxKPPixJXg8cRo4IYDleczV4mKKwosaKCPQT7OsyOtSFNicnXmnox8R4lXuq/n7x/hUFNRyPH6rPnaPlFYQQEHhS/4n74+a772Hd/O0WnZWtlZk2JOAjstyWVGtdu+cbeLqjjc/85AkQNu4PjeoiyHOgchR72vQilQuNrorijgGHBDFHD8AsPp06dh+PDhMGrUKHj88cehqakJiouLwePxQHZ2tprv1KlTEBcXBxkZGfDkk0/Cgw8+CEOGDIH58+c71rl69Wq44oor4J577oGmpiaYPHkyXHHFFfDKK6/8VfuIN+mHb8mBcNsQRc2lhzPeeyX1eNFp/EGqJbkMwk2xqgeQ3nh5D5Ok2KDvuXxbGqmCA+EG7aXnaSU8vYSDDQo4eG+tBDcksCFBDdq7LAEN+srhgm2UQAYCDvqdBDj2j7+0/IsTV1q3Z1N78BFVKG7BZKQBJVdzmCCHTdFBx53phRBuGwIHg7nQnloCezLyNRUQDyJbhKDS1svGoZ3Um/pVUQA6A3rwIEGNOsv5eN9Nedab9EC6Np164Arofnwo/PzoNfDOgpnw0qQVcDCYq9ontj9+vuB30vkUCfSg56bUNk1qDp4KQwEHB3H0+oLXHCkViwOPHWlF8NKkFdBTHafadKTpLpKSg0O4ZtZW6XV5b8YaeHPurQoc8J58t6CJT8d27vHEQGtymUqZoG2/3lfhACZcGcH3oSW5DC6emqIpTtyUiBJE6X58KDT5Qw4YUmcBJm6jab8pRNg9Nl9LQTKlYfJ7aU91nFKJmdI2+fJHp2Vr92W+fxxkNSaVww9332QMkiWYdXjycvX73RRmA+n69AgBHBK0QCj+bXmSQ+FnghwtyWVwdn2CSpk0gUr6mapiuZKDdyi1p5ao8xfPC3q+0fPypweuV+efCTZIsINDBfy+MancMS+HI3XeSvjLnaPVdqmSg0KM8/eP0MALV2hUJ1bBF2syHNviKocv1mRon7eyAB+vTzywx+C6OrEK3l04Q1uWQgIKFSR1BlWwbI3XAQiOjUnlUMPUE1TF8f6S6VDrrRSVGNWJVfDnkN+hPrGlwNER4wJJ3bEtYR18vnqcCDCktDya2ofghqswcJ66/m3yFEBc9uuSVG19m4iC48OlU7TpdKxOrNLSjWg6ThRwDLwhCjh+gWHjxo3iiVJYWAgejwe+//57AABYsGABjBw5En744Qc1T3NzM3g8HnjhhRfUtBMnToDH44GtW7eqaRcvXoSEhASYPHnyX7WPeJM+OD9F9chIQMOk2DCNvNepyR+Cnuo4h3xWks02JpUrZYZNwmmCHNw3Qyk3XrgZ9mTkK7jBoQYGFzTowPeXo9owKTY42JAAhy0VxAYvbLACpyHgoMEh/Y5O49vg87sBDhvwkAJNCXZQpQuFHNxvgfeY2zwT8JX+71y5syOtCLqfuAqOTV/iUHKYPD1sgSR/EDX1rNEev57fXxlRKgA91+hDqlsP6UC6NjUG5qm2dzCYC2/OvRXO3TUKzt83EnqfjIWe6jjoqYmDT3KCWtuOpO0hGIkEdnAQx9unrW1KsIMDDnr9oaBDUnNgW30+cxV0b75azUvbqK1tXi544yksP957g7qWmwJ16Z5Rx9orBRUeTwzU+yrg7PoEaO4P7Dk04cDPBgkwkJPua5LCgPdS43QE5FQyL4ENCW6Y1s9/Ew0o6f5/mjvRCCYkZUVjUjm8NW+22l8OOSTYgf/poWCO+j9tQASX+fmx32jbsAGuOm8lvDZzgYJCg+n69MjoHNcOmdbkMgi3DVEqQBsEx+eZjkAxbGeqD7pO/N/4cxH9XlLENvgqoNkfgt1j88X/jbb9Wm+lAid1Xl3BwVUTJrUFhQu0/UtAhKZ99dbHGsEGjgeDueI8VFG1e2y+I70CQQFOR5WHCczUeSsdCg4OL95blKVtw+RDx1M2uNqCe6FwUCKlp9R6K2FX+loFIWhaDC733qIsh2KDHgv62znAwPYgwY1tCevgyJRlRsWGNB0BxZb4dfBB9lTRtwjBEYc+m8ix+/nRa8QUls2j18MH2VM1Dxeq4uC+MRRyRAHHwBuigOMXGO677z7weDzw7bffOqb/6le/gp9++gl++OEHuOKKK+Dee+/V5unp6YGrr74aysrK1LR7770XYmJitJs5AMCmTZvA4/HA6dOnL3sf8SZ9LO9mq9SUPsjZHlylnjzMDf4kJ2h9gKY3X7fUFCk9gJuB4oPprvS10PNKCuwem29VbPC0FK7awOCEg42uMQVGU08T3JA8AmzpJibQ4PaZvj8YzFWAAwNB23pso9v+uKW7mAJOUwoL7TWnwaSk5nDzPqCBpCk1AFOpjmctUpBDAh08iKTvpQdeDDxM5wGObSmlqucYe9pMPaNSQOXWQzqQrk3owWFLSTkwIQ8OBnPhg+yp8P0d8RB+Zihc3DAcjk7LdiiQbAojG+zgqWQ8zUwy440EwplSqqR0Fe7N0REohv3j86C3LlaDcW6QQwqqpHQVqZ3W97fP8Av2VCp+H+G9w3x+jydGBW3vL5muBdSSukKCKxyuNyaVQ7j1kheHG6iXfDkak8qh98lYDa6YgIbJ10MCKzYogBDh65JUTSUhKTkotMDOgR/vuVGDDzZQgctd3DhM8+Ggx1jaP0yJMCnN+PGm/6Ub4BhI16eHb3F6cEhK0wMT8jQTa+kcpFC8JbkMPs2d6KoOoefzselLHM9PVIWF/3WTPwTvLJgpnrv8P8TrCG3fEmyQ0k0kOIHQQVoOg+xabyWcmjNXQRW+PAbd+Lv4tmjwXevt8xKRvsPt4Xak1BPcH48nRgEEnnqyLWGdAikcIEgAQ0rV4CkX1OwYg/0aYf3UBwPVMbgf9Jh8V+lzABoJVnAwgst3BoqM8x4K5jjWx+EGf4+/sWtMgQN6oPJiW8I6aEspdag4NvXPi3CEAg4EGF1jCtR6uAcHn0bTVKKAY+ANUcDxCwz79+9XkspTp07B6dOn4ZlnnoFhw4bB7373OwAAOHr0KHg8Hti5c6dj+WnTpsG4cePU5zlz5kBycrJjvv/93/8Fj8cD+/btu+x9pHmkVMIr9RLzhzhO+qWHTQzWwp1XqRuv1HNNX3mvIn8g50CDv9IKJ7vS10LvoQToGlNg9NmwpaNQ9QZXbnDFBpqJSmkoEtiweWiYIEck8AHhBYKMg8FcOBTMgZcmrQCPJwYOT14OR6YsgyNTlsGx6UvgeNYiODZ9Cbw8dSkcnrwcDk9eDi9NWgGHgjlwKJijwRAJjrgpQSIBHng88BjtG3e7BjxMqQG2tACbmkPyP+Dga2d6Ifz82G/gjdvmaJBDMh7lKiIK4qScaanHnCqZsCf25alLjSoOer7y89YtgBhI16aGlPnGFC5JDUTPncOTl/cBj73Xww933wQHg7lG0MbPSZNRqQTfTEa5JqURBxym9mmrHoTXuM5AEbw591b46YHrVa8vTaeyKYwkJQcGV5IHB32/PbVEa5+ScsPUZqVAChUcDb4KODl7nlJx0OCYKzFswRnOv3tsvuYXwe9pttQTXO/RadnQ3A9JIlFuSOek6b7Kjw+FGXjPlKAEAghJjdG9+WpHmoqkzKDfv79kumNbfJ/o5yZ/CE7OnmdUcPDfV++rgMOTl0Od1x3ADqTr06NEwYHnkAQ8tqeWwCc5QfF5RoIXLcllcP6+kY77iU0tgl4qkaixeg8lGAEVHRuTyuH0qkztexvYkIAGDZRrEqvgTEG6mNqCr7XeSgVP6TlWzV7rvJVwMJjrgBMcshwK5oj7SCFIva9CLcOD+5rEKgU4OBRAFURD//JUcWFK1+DpJzjfG7fNMcKPLfHr4J0FMx3rpvvamFRuTDuhKS4ccnAPDmkdqFDhvwXXLUENno4iAY4DE/JEo1Dc7hu3zXF8hyoO+t3WeN1ktCNQLKo38H1bSqmaFgUcA3uIAo5faNiwYQNceeWV0FcvvW988MEH1fe7du0Cj8cDL7/8smPZlStXwogRI9Tn1NRUmD17tmO+d955p0/K3dho3ZdvvvkG3n77bW189tlnlcmopMKQeqLws9QrxcdmfwjCzwyFtpRSRy8gv/niTZxLL03eG1ytQb0S2vvTUnpeHaPBDR4wYBAhAQ06Xo7PBs/Xl3w2pB5oW9qJBBEoyHhx4koFMd5fMh26N18N3a+Nh/Afh0FPdRyc+93N8E1pCng8MfDGbXPgtZkL4OWpSxXoODJlGbyatRhem7kAPl89Ds7fNxJ+uPsm6H7iKug9OBp6D46G8FOx8Jc7RysAQrcdiZrE9PtsPekUeNDqK6ZAkqcEUOWNCXDgKCl7dqQVQffjQ+H1WfO1NACTkkMKJhGASLCOS4i5H8f5+0Y65Po29RROi8TEb6Bcm/4reaGx4ombnwZXeHySE4TeJ2Ph/H0jVRu2qTnclB02M1Ib5HCDcDZzXKm6SkegGE7NmQtnq7zQESjW2mizP2Q0ITVBOFPaSj0Jkpr8Ifj+jnjt2m5TcpjuERioI+DA8fz9I8SgXFIU8OCbAo7W5DLoPeKHJnYeSeeNBDAwyOupidMCwctRgnCYQ/eRgwH6GdNU3JQYGKjif3Ns+hLoCBRr1xR+7Og6G/qPU0eg2LEtvn+0HZy/f4SmpHELlnelr40IcAyk69Mjgskov85j50v340NVGgmdR7o/NPcDpFYXYE7P1Z3phQ6Qbko16wwUqXOCtw0KKBt8Fcr8V4J7PC0FA1ObquO1mQs0+MEBBfpenJixUNsmV4bUefuMRk3wgqsXuFqEApad6YXadzSNBRUc9b4KtQwFAOgX0eCrcEADyWCTp5Dg9FezFos+Gfj59KpMhyqEHu/jWYsc/hv0N1JAI6ktaIoNTYGpTqyCs1Ve7bjRZag3iGQqyt9T4FHnrdSm0fSdrfF9FVzoMaIeHa/Pmi8ajKIyBOfnZYQ3j14PJ2fPE8sbR6uoDLwhCjh+oaG9vR3mzZsH//3f/w3/8z//A6WlpfAP//APUFdXBwAATz/9NHg8Hjhx4oRj2bVr18I//dM/qc/x8fGwYMECx3wff/wxeDwe+MMf/mDdl0ceeUR7WKDjAzevdDyQ0Ic0/lkKrKQenjfn3gofLp2i5YRS6TP9bDPS4nADe8y3p5aYlRuHvbB7bL7DrM+UlhKJakMCHDR1AgMcXt7VpNwwGYa6pY8cDObCS5NWwIkZCyHcHAvhPw6D7ieugq+KAkp9IaktqMmobd34/lAwR1NuHArmwPGsRfBNaQqEW4dA75OxcOGh6+DIlGUOtUckZqYm0BFJ6orJgJSmDkkmpFIvuSkloCNQDF1jCiD8dBwcDOYaPTm4wa2pkookR5bgBk5rTy1RvXJScMaDMpzuZjI6kK5N/5W80OphcznQg8LE06syIdx5FZyt8qp265a+QisCReLR4ZayYgMdEuSQqqrg+x1pRfDTA9fDR8smw460IoeKg6uLpIDJ1DssKe0QSoefvVYr70ohgwTBJUhRzwBHg+9SCoS0DE9PoUCjgcGDJn8IXpy4EnamF0YMKPhY76uAb8uTVKqLCWpIahDTfdIGNuhxfG3mAlfVBodPbSmlytRSUmOYlB+Y2mKDKXSZz1ePcwTJtrFrTEHEgGOgXJ+wTKzpvKKq0/P3j1DQ0c2UuiW5DNpTS+BgMFcsMctVrvyZyaQUpICSm1nzEZUJ5353szqvONzgCgz6PVc50HkQWGCAzJUfdd5K+KooIG6Pztf9+FC1rjqvDkJwxCopdFmu0kATTgmQVPcrOFDlQWEFDfr3ZOQ7IIGUnmHyqnh56lKr2gO9Lrh6A8eLG4Zrv4vCja3x6xTgoN4f3HeDvqfQ47tKnyPFh37Pj4stRYX+7hrDcgg13luU5VgOx4PBXHWMUNWBgAPXi5833uIEIBRs4Dr+9YYo4BhoQxRw/ALDjh074Morr4TPP/9cm15cXAy//vWv4bvvvvub6YVAwGGS7lLAYQIanPpvTy2B8FOxjtQU2kPNfTekGz3tFaG94txzA3s1d6YXQk91HLw4caXVUJSbimJgQVUbtiopvMoHDcLcjENNQb4JPCBgODx5OZyt8kK4azj8cPdN8PLUpRrIwJ5q07o8nhj1XtoPrJ4SiTcHTYF5Z8FMOH//CAg/ey18sSZDVbow+X3YUllsvee20p22sp22crKmQJJO25W+FsKtQ+C5zNViGkAkpqO8XaOTPcI/GjzSoOPIlGXwXOZqNY8pSKTnpZuCYyBdm+r8Cx2qKGk0wQ4OIyTYcXHjMAg/FQtHpixT7fFyYAffhlRxJVJ/jl3pa41KI3oto4ADIcfO9EI4d9coODotWzMdlVJWTG3V1ANskry3pZTC2fUJWtvl6g0eNHE4V+ft6yHFz7juP4f8DphhU3GYprUkl0H4j8MUoODKDUl9we93LcllmjGjSa1hAygSjOT3UklZQUGFNA8fm/0h6KmJ0+69EqDgqXEXHrpObYurPqTt4nVNgijSccb3D47KHTTXp0dHOz04JDVGcz9Q6AwUiUBEuke0pZRq5WK5koNuB//r/ePztM+SegM/vzn3VofqiZ+b9b4Ktc9Se7cpNaS0EVREYMoEBxY4rc5bCRcevlYEFnQ97y3KcpyzHKjgNYQqRajyoTqxCr4uSdXAB50PFRztqSVigI/B+ZmCdG1ZKd1DUk5gAL+9f/0SGKjuV5lQPwq6/prEKgh3DVe/h24Df9e+cbcbPThwG9z4FH/Lj/fcqNYj/a5a76WKJ1IqCzVVtUEQDn24zwZdD/pz8PK79HuapkI9OE7OnudQb2y8JQo4BuIQBRy/wDB9+nSYMmWKY/ru3bv7KpccPPg3k0f6wM0rxYdO/iAmPayZHih7fn+l5uYuKTdob4JJtUEfACjUoMqN1uQyBSrCTbFwcvY8sRSsSbVB4cblKjakAMskk79ctcahYA4cnZYN4Y5fQ091HJwpSFdKCpMiwqaSQMARSbUWEwSxpc4ghDl31ygIP3st/HD3TXB48nJXY1PTvtvUHNyAlAaQezPWRGzyyCus8HQAfL8rfS2E/zQC9o27XUsDMKWpUCmyqaduO4Ecpl63Jn9fBSL0RTBBDTq6AY6BdG2q8y8UYSJ/pedhpKWYafs6MCEP3rhtDoTbhsCnuROtoEPy/jClrbiVO5YAh5s5rk1xtDO9EMJPx8GejHyj6ahUhcqUPmVKV6GeSbvH5sOLE1eK6QocUJiUFzxFpc5bCfvH52neFzaQQYEKhywNvgr4cOkUaEspdQTgNg8N+l2DrwK6N1/tABz8/siDLZOCxTby9JPv74h3QAcKKDjoaPKH4ExhGrSllGqKDJ4mypd/NWsxtLLqTXzk/+3XJalG6IS9/nTa/vF5rgqOgXR9QsDBn18kFUdbSqnmq2G6LzQmlat5vqv0iWktpu18f0e84zyVQHpjUjn8eM+NjnYk/Y9N/hAcnZatdX7ZVBxUJWHyxzgxY6E2r+Rnc3L2PE2VQRUgNJWlToAgFLLgNYGndNB17ht3uyNFhb73eGLgL3eOVoE8VzhUJ1bB6VWZYhCP83PvDa5M4GCEB//N/pCW+sK3/9a82Vq6CIUj1YlVcHjycg1mSDCGqzRwfH3WfCvg6BpTYIQXHGCYUlekdJ5Pcydq6+UGrNT3BOEFbvN41iJtOgUdn68eJ/pzRD04Bt4QBRy/wODz+SAYDDqm79y5EzweD+zfvx/OnTtndQIvLS1V0+655x7RCRxLqv2/OIH/B0tRkeTFJskxfUjFB7LnM1fBOwtmGlNT+I1XejigI8o6eTlYmprSGSiCc7+7Gc4UpmlwQ/JV4OVgeUoKV21wrw3qB2GTxtvMQvkr9dR4adIK+PnRayD8VCwcz1qkwYHLTfegIwUcNLCTfAck41Mb+JDSXA4Fc+CHu2+CcOdV8ElOUExjkcAGDy7pPktmj1KPOR1tpTptvgc8eNw9Nh96XkmBXelrVe857yVvZZAjEr8D+vApjS3JZXC2yisCDvoZz0u3FJWBdG2q9S/SPG645w2HjSbgYVJ1SOfq8axF0FsXC5/kBEXo5gY7TO3zr0lZofBNqvzDzZNRyXHx1BTYlb7WATlMoMMUaO1KXyuqN+j1vtkfUj3Npvr48gAAIABJREFUPBjGQFfqzZcUHBRSNPlD8PNjv3H0LEcKCuj221JK4eKG4VqaSaT3OlzP3ow10NpfUcJN/VHHptHfZeoY4McLj+OX+WNFMMEBBYUY21NLYN+428X/zbRcS3IZfLxiknV+vky4bYjDrNI2npix0BVwDKTr02PxK0QlBldZ4P3g4sZh0JZS6jAPld63JJfB85mroC2lVFNl2BQdBybkOaAkfQ6j7eHw5OWO/1eC5g2+Crjw8LWaUpfDBJMfB1d24PQTMxaK6g4KOlr7oT5+puvDfWxM6jM8tilIahL7fD94WgoFGZLCg756PDHwVVFAAQQJQGxPLdFUHZKfhpSKQdNGJMBB97nZH3Kkk+DriRkLoc5bqYEJuvzb82c5FBtcrUL3g263LaVUrZuuA5d/beYCI9igFVI4xMD/gBuN4jxHp2UrlQb358Bl+Xc4/jnkV9VS8BWBxic5QbUtVG9Ey8QOzCEKOH6BYfHixRAbGwvvv/++Nn3ZsmXwq1/9Cr788ksAAJg/fz6MHDkSfvzxRzVPS0uLupHjcPz4ceC13Lu7uyExMVF8GIhkwJv0xvjljoc0/tDn1nOspab8cZjWE2SSO0u9EVJKCg0Yuakowo3XZ82HCw9dpwAGffA3lX/lcIOXf+VmorwXmas2JFWEzSiUg41j05dAz7EAfH9HvKbSwO8lkGGqyCKBFo8nJqJqFFLwZvptEsSRfuPRadkQfioWeqrjjH4dJnBjMyF1CyQvx4DUZOxIx64xBdDzSgrsTC9UVVVsfgf43qTmsOVK0/Pl9KpM2J5a4gg2aHCE56SbgmMgXZtqkhY50o44cOTnJvfDwVcKO2yqDmx3h4I50FMTBz/ee4OxAoubksPNhNSkNHJrn5LaiI6oOMJ2GolnjA10mNomjh2BYnh/yXRoJX4cJhjBQQICDqpOwOV2pBVpRrum10ggR/cTV2n3JRvM4LACgcv5+0YaAz0OO+rYe37v5HBSOqfxGLh5Y1DogPfQ8DNDVXBrAyP0OkM9f/j6G9i+Nfgq4N2FM7RtSMeeHq/94/NcU1QG0vVpY/xy11STJvIcc2rOXOgIFGuAQ/JnwvdYrUiC5PT85EaltPNIup+g0qeZ/XcUwNF22v34UBFUIiCgqgqTjwUd21JKHdCCqzSa/SE4PHm5Ax5SiFLnrYS3589ybJtuH1NZJKUJBsn4WylkoPN6PDEQfjrOAW4oSMBjQGEGV3JwMMID9gZfhQg4tsRfKmkrpXJUJ1apcr4UetDtfpo7UYQaHLhI01DFJqk3tiWsU/CEKy3ovNxglIOhLez3bo1fB89nrlIqDMmktDW5TDsWVMVxpiDdod7A9XyZP9ZRRSVqMjowhyjg+AWGI0eOQExMDFx//fXwn//5n1BfXw8LFiwAj8cDoVBIzXfy5EkYMmQIZGRkwJNPPgkPPvggxMXFwdy5cx3rXLlypeq1aGpqgilTpsAVV1wBR44c+av2kaeomHqypJE/pGFO7vd3xEPXmAKxFyiStBSekoIPAlJqyvb+Xst9426H8LPXws70QmMpWFRvdAbklBS31BTaU8wDpUgNRE2A4615syG893p4a95sB9i4HIUGDbgko1MEHHy/TT3bbrJ+aXRLZTkUzIEf77kRwk/HKUPUSD06TEElNx+VvA9Mnhw0iOTBpJSq0hEohuczV0H46TjYkXapfCzvJTeV6aTtm58HtgCyJbkMwi/c7MjHl4IItx7SgXRtqkla5DgfpXNTSiGToIeUwkIBpZS68vLUpdD9+FA4W+XV1EW8XUZSZQVHU9s0qTmwfdoqq3DF0Z6MfLi4YbjyjeEwzlZKliuNTCCOvp5elakMR03BOgcK+B0tE0sD6cakcuj5/ZUqwOdBNm3/JtUIft+WUgoHJlwyL+Vgg4IKanZI4cP5+0dAY1K5qAChIMOmepT2G0d6TOh0TCewpYs40lQK0jV1mBsgaUwq1yAQByLS/mI6BZ+P/990mhvgGEjXp2rfEivUoNf8luQy2JFWBC9PXWpV9/Fz8cOlU4zzSts8FMxxPF9JgBJ9OLiCQ4KDaHbL4R9NGeHeFjzlgYMJquiQUkzqvJVwPGuRCDao8uLc727WYIvk2XFqzlzHshyIdASKRTiDgANNchE2cMVFHQEcHE7w9zSgp+9PzZnrABwUYpycPU9UaFAIwQEGjp2BIoc3CF+PyYMD1y1BEaq0oGAFR0ldQUHIc5mrxbQVCpn4sliJ5v0l043r/jJ/rFJucNDRNaZA8+dAyBFVcAy8IQo4fqHhxIkTsGDBAhgxYgT84z/+I/h8Pti4cSOEw2FtvldeeQWmTJkCcXFxcN1118Fvf/tbrVcCh4sXL8I999wDI0aMgCFDhsCECRPgwIEDf/X+UcBhkt1KI3/AxAedjkAx9D4pG4vyB2XbAwFXb/DUFAwoOwLFsDdjDfS8OgZ2pa8Vg1Get85LwVKwwYMnSQIvmRiagnybcuNQMAfenj8Lfn7sN3Bs+hLNKNSUrmELpky9x/QzBRwc1EgyfpNBI44HJshKERvsoL//wsPXQs/vr4QjU5b9VWk4ktmjyYAUA2CT8SgFHCa/A9q+PssbD5/kBB2VVaR0AKld2xQcPHjE8bnM1fDRssnGIAeDqUjKxA6Ua9MfkhY7An8+uik8bIbAXNlhSltBRUf4maHwxm1zXIGjmz9HpFVWaAUgyRjXpuLoDBTBselL4IPsqVqJYwnAmSo10BQq2i6ltIhmf59fjCmglnp/sf1SBQdv289nrhIVDBLcsIGPZn8Ieg8lKIWCLe2SKjIo5MDjh6aLXPHBl6GvPHiz/Qb+3eerx6n7Jj3mXPVCrxddYwqUDwf/T/jyeA/HtCZqTorr5fuI6/g0d6KjPUhgC5f/Q9LiQXN9erVgpHjumPwy2lJKoXvz1Y6qRhx+0/Hs+gRjSos0nl6V6XpvoUBLAmccQmJaDQXpbqkpHCBwQIHnBP2OrrfBVwHhjl+L8IIqL3689wYFF7iiCt+/PHWpY1m+bydnzxNVKAg4ML3N5FOBwIWrSBBO0OCdp1sgWMBKKXQa9Zz4fPU4DUrQbdT0qzio4oOCml3pa7UUG0mpgUCCprbguhFiSIBj//g8B5wwpaxQdcu2hHXQmFQuKlpoGooJYry3KMtxPHE8nrVIU27Q97XeSg1w4BhVcAy8IQo4ooM4cMBhekijEj76wEYfYhqTyqG3dogGN/Chied/Sr2DEtiggINXTDkwIa+vYsqxADyXudrhu0FHKSXFBjekAMmk2DB5bZiqkGC6Rs8rKaK/RiQqDRvQkHqNKeDgSgfJt4D3dEtVKiSliAl0mI4N+o2crfJC+E8jREPSSHxGpOPATSg55KCggwaPPIiU/A6wTfXWxyrTUUnJEUn5WEnBYQIcjUnl0FMd5zAC5MqqSADH3/qA16bf+7K181TyyeGwo2tMgfY/c2WHZBJM27mtPR+YkAcfZE+F3toh8NKkFRGdq3ydppQV3FebksPNl4MrOToDRdBbOwT2ZqwRIYfJM8YUoPH2SGFHkz8EL01aAR2BYkeATNspT9lAwCGBCdzWubtGaYG2CWKYeqFpTzT6inC4YYL59HNjUjn01MSJIER6L83H1Ry008Ck6Dg8eblrmgqFDPW+PtXXTw9cr/1P0vwUTDT5Q/Bl/lgRikgQpjGpXJURlf4HHjDXeSvhvwNzB8316Y2aYa5wkJ4/rcll0FsXqyCZpOrjz0EvTlypzS+do1QR+NGyyY77inR/afBVwF/uHO2AXdjmaDttSS6Dz/LGQwOZzpUVkgqDT6ceGhiM8++oyqP78aEaQKTz47SDwVwNIEow5aVJK0RIQuHEhYeuU/PQAL/We8kjqMFXoS1L1RXVBALQYN6kjuBKjS3x62BneqEGIHhAj8aZ3IMD95V6jVDIQYGQCVJwQMEVKqdXZYpwpzqxSlWYMYEN9NGQPDmwPK6UgoKpN5IaBBUvuAwdt8Svg1ezFju+ozCEG49GAcfAHKKAIzqIg2Qyyh/qbA9mXL3x/pLpjtQUUy+C1NNhUm209EurcdyeWgI70org4obh8Pqs+ZrvhqTcMBmKYvDgBjak4IfL2E1qBRqsH568HMKtfVUa3IJ4G9SQQAYP6qn/AE73eGI0ebxp5MdAktnjNEkx4qbokMDPoWAOXNw4DL4qClg9OqRj5NZTbkoJ4GoOWjKY+x1w41FMdQp3DVfB43ZLAGnqrZOkxA3svKHnVHtqCZy/f4QjT55K291SVAbCQAEHBVDcn4KnmdnUHdx8VjrPbZVXuK/Oj/fcCGfXJ1jTVkznbySeMRzq2CqsSMa4OO5ML4Tw8zdoKVW2NBXqGSOp7UwGhhggo4pDAhESeKAKDh7sY7s/NWeuFqSbVA98Gu2FbvD1lV2lJWNpUGdTY9B5Tq/KVKliJs8qfj/lx4D+Tv6bJXhT662EPRn5RhDCQQX+Nxcevlb9ZyYQQt83JvVV16CASoIXdMSAmqYFSYoAfP94wrJBc336P7PHwPbUEnXOmNJT6LQTMxbCoWCOdRk6bXtqCTyXuVoEKaZpJsjC7yntqSXafyedo5iegEajHGJwNYcEOqTvDgZzxbQT6sPxfOYq1f6l9SB0rPdViF4eONJ10MCcznsomKPWzdNs8Pr0XOZqUQWB78/fP8IIEOi8qOjgoKPeV2H0xNiWsA4OBnNFfw1cZ/fmqx1ggipqUGHCl+eVSSQQ80lOUPzN2xL69tsEOCRlBn3fnlqiAQdeKQXTUPi6tsSvg69LUhX4oOPW+HWwN2ONY/qm0XqllU0McERTVAbeEAUc0UEc8Cb94Khco6yWPvBJD2x13r4yYt2PD3VVb0iAwybP5NVScOwIFMP+8XnQ/cRVCm5I3hsccESalmILenA8MmWZVaFAzUMPBXPg58d+A+fuGqUF7zxYl4L2/ePzHNvnUEMCFBKs8HhiRGk8D/i474gUCPLjw80bI+kJl0DHy1OXQrgpFo5Oy9aOFT1mNrWLradcSgfYPTbfGDxGYjy6b9ztEH7+BuX/YoIcXJnEH4ClfGmT18HFDcM1FQcPwAYT4HjCm+0o5SyNFHxwxQc3DTYBDwr0bNWRsC2r9tp5lcMrJlLPGDfzUa5a2ZW+VlQaSZADFR3oxxH+4zDVTiMpHyuBOBN4o73E7aklcHjycqOCwwQ4eCBMXxt8FfDSpBVi+oO0PlyGT2/yh+CHu29SaRgUgthUHDStpDW5DDoCxQ5YQSGjSQEiARPpnsqBQoPvUjUVDhA43KD/yYdLp6gS0/y+zNUZuMzXJakOrx9pxB5tvG5JUEMaBxPgeMKbDcemL7Eqnzi8aEsphTfn3io+90jPQy3JZfBp7kTRt4OXkMXzsLV/uslDB//rZn8IOgNFjvQi/G9pe/z50Wu084WCQEmpwYNrDjB+vPcGUflEwQn+LjoPVSNgWsiOtCLH+rkapC2l1KouQZNOrvKgCo7P8sY7fhtVG5wpSDemf3A/DgkAUKUHV31sjV8HO9KKjCChJrEKeqrjHBCCApv2/oozHFBIwISnlXyZP1aDMxyg1HorHb+JqlBM6o6d6YWOdB06/7sLZzjUH/j52PQlaplNTJnR5A9p827qXxYhR523UlNwRKuoDMwhCjiigzhIHhz0YY5KiU0PYY1J5bAnIx8OTMhzPHxxuNHe/1DJb/xS1QmpHGxbSim0p5bA7rH5EH7hZlWu0wY3pGBICnxMQY6k3IgkUKcpGD2vpMDLU5eq9AvJYyKSagxSDj/v/ZV6g/G9xxNjDPLdgj+a3mHqAb8crxIeDHLVy1dFAeipiXM1IeWmrtyTg/tyoJrDVF2FV67AUTKtxc9f5o+FM4VpsCOtSEEOU1lOHkTi+cBhB0/romNLchmE24aolAEeGA6mFJUnErMdsAnfU1WWqeSzVPbZZiJs8ujgig7a7g4GcyH8VCycnD1PbNe0Xbq1z0grrEht1JRS1d6veHvjtjnwatZi5RsTiSku94uRlEb0M3px9B7xq/ZpUklQ5RH14DAF+O8vme5IfeGwg6uZJDVIe2oJ7M1Yo+T2PCDnQILfBxt8FRBujlXnng1mmJSRHHRISg4+vpq1WFNiSICCv6Jih/9Hpm3g8eFpcLaxwVcBHy6d4gAc9DfR0c1kdCAMtIrKD3ffpCCSLT2FPu+crfKKCg5J/dGSXAY/3nuDoxqXBERwH16cuFI8Z7mKo8kfgi/WZBgVPbQ9npw9D5r8IVHZK0EDCTTQ19bkMlGRQb04mvwheHfhDFExQtd7dFq2EXDg53cWzFTrltQe2D6puoMqOGq9fSkzXAWC8GBrfF9FEJ7+QtMrqL+FlB5iUn9QdQVVWHCIcSiYowEYmh5Tk1gF3U9cJSo0TACC+nv85c7R6tjx38dVIzzlhcIdDkAwVcm0H5/mTtRSS+jxRNNVnn5C94NXUMH/YU9GvpoeVXAM3CEKOKKDOERiMir1wOADWVM//cfqDrTniOdpY88FfqY9DpJqw1QSdlf6Wuiti1W53gg2uPcG992wVUoxlYC1VUqRUlKo2uBgMBfOFKbB+ftGOtIt3NIsbME5rxIigQjJrHD32HzlBE4DPVPgZ5L4R+JVYgoQpV5wG+Q4FMxR3hwm0MGPIzc+lY6jWy+5qaqKFECqVJVnr4XnM1dppqO88o/J0NGUT83PJXz4bPKH4Pz9I6AzUKTKctIgcjApODYnLtWOPVdlScCDKz541RxJ1UHbxOVeC7DdvbcoC7o3Xy2WlHU71y9HyWGDHJJfDI470wsh/KcRCgybTEcllRFNR8FyxRLcwOmdgSLYPz7Pkd9/OQoOHuw3+0PQnloiKjckRYcUiNf19wqH/zQCmv0hx32NgxgJcNR5K1V5VBMUMUEOKTVFurdKag68LkggQVJwIGw6f99I9d/xQFaCIk3+vgosPN2UB79UEYLlc03/Af19g+n6tDF+OfTWmz01JIDRmlwGP95zo8NXwwQvmv0h+LY8yQE46LNTE9vevnG3a89XHG7Qe8zPj16jnaMN7P/CaS3JZXBs+hIRalBogO+l7yJJX6Gwo85bCe8smAl1Xt1EtN53KVWmzlsJZwrSNahBIQXO91VRQFOAcAhS662E1uQyh0IDAUdNYhV8f0e8BhR4ikiD71KqjJSaQtUZUlCPihH6O+gyVFnCp2+N7/OzQNhCjwO+UgUK3SaHERJYwVK7PMUG52/uV9pweCJBHBOMkIxEP1w6xQFKcKQKDurhQQHK5n51Bqo4EGp0BIqjgGMQDFHAER3EgXpwSL1L9AGstV++R6c3JpXDgQl5cGLGQjEgo+qNjkCxVbop+W5Q9QZKrY9nLYLPV48T5dg0AJKMRSNRbthKSLr5bdDAvHvz1WJ1EDfTUJt03QY10JzQpEroGlOgAIfUy03BD5XD4zSqeJCgh0nRYSvLyUGHycPkm9IU6K0dolJW+DGPxPfAZuxo6yXnlVW4kgPbXteYAmV4iyoOt15y6UFY6iXHoIMGHK39Kg6Uhg/WHtLHE5YZlTOmkQf9krEwV3bQtoBtQzLglSqt0DZ8ePJy6Hl1jGqnkaRSmVJW6DnuZjoqpapwFQdWnQrvvkb5cdj8YkxKDjpypRENoFBlxANcKfClCg4MYHig3OQPQW9drENZQKGABFL4dw2+Cnh91nxoSyl1rMekssBACrfV7A/BrvS1SgVigxzSOtw6ECRA05hUDl+syXDACQnk0Hvwz4/9xqG64UCEQ47wU7Fa0Cttg75HICLBF/5fDKbr04b4FfDeoizYk5EvggnegYPPOh+vmARtKaXi+SWde1SJYwIndDwYzDWmPPLz9WyVV4EzCTLWkTb/QfZUda7wlBKb34Zp+vbUEg2IcKVGva8Cwq1DNNVIHdtunbcSeg+Odkzn8OKtebM1QCApTHamFzqgwLaEdUrBcXRatgYfuIIBwYsU2FPlAU/FoLAAUzZo4E/3h6aC0H2oTqyCtpRSB1Ciy39VFHBM42k2HNzgdnamF6ptcx8OhCsckvC0G67skOAGf//xiklqGq+W0uCrUO+pSoN6eHCwgUDj7fmzNLixOQo4BuQQBRzRQRzcFByS9wbedFSQ1ToEWvrlrNIoeW64wQ0eFGJlgF3payH8dJzWU8l7KU3pKW7qjUgrKZjABgbjhycvh+7NVxu9NkypFG6BDldMcJWFVGWCB3MeT4wjOIrEy8DmayD1gkveBm6qDjwekkLjYDAXTsxYCOGn+pQ7Nshhq7Bi6iXnPeWmVACuJKBtcEdaUd8+dg139JBzVZLJdJQCjp3phY6gEYMcnPb9HfFKGk2DtMEUQDyesMxhmsnPfUndYYIdpjQWajZsA3Ym+Ekhx8FgLoT3Xq+qrFyOcbBJpSWpskxtVAJy1Bz3pUkr4I3b5riWjpUk8E2srZpMcRFqn5ozF9pTSxyBsknBYVNmYJCFUM+WQsHXQdMnUYXy8YpJ0JikV1OR3nPYj5Ak3DVc6+2mig9bmoq0Pv5ZAgsNvgr4JCdoNAyVYEWTPwRvzZsNHYFiq68GBxYY9PL1mYAH9TQx/df47DCYrk8b4lfA3ow18N6iLO2aLj3zUGDRESiGXelrjQCRTsP7xvGsRcZqXCZIYgLn+J9i6jCeU/S/422yyd/nX0MBB4UckjKCTpPSUbB0qQlw1Hor4auigANe8PneXzJdgx9cwVGdWAXN/pAGOGoSdbVHTWIVnJozVwQfqOBo9oeUCoQDgmqyz9y/ggfxm0ev16ZRVcVrMxc4oAgFCm0ppZpHB90+nmd0Gh2fz1ylpdCYYIX0iu1Amq86sQrenHur2q6kxJCmU/BBzT8p6Hhr3my1LZrmgz4a0rHF113pa8UqK5tHr4cXJ650lJGNAo6BN0QBR3QQB15Fxa1niT60oPfGc5mrjV4BFG5I3hv8IZqnpqByY3tqCTyfuQp6j/hhT0a+o1eSlu40VUyRcvFNqSmScsOk3sB0lIPBXHh/yXQ4W+V1KDZ4kGNSFthKR5qUBhw8UIUGrzbh8cSIFSmkXm5pmkn1wdUfXNnBTVAvp+oKhRgvTVoB3SeDShkjGZDSkQafkjrGLXjkx8cWPOL7MwXpKqCQDEe554yUCmAbaSDT7O8z96XqjjrvIJOAJyxT1wAcpUohUnloCj1o2prNdNgE7SSFlw2CHgzmQm9dLLw8damrX8xfk65iUhrR9skhnFZVpTkWusYUOKqq2NJUOOyg3g6SIW6zPwThzqu0wFpSWzQIgIMH3jitMakcvqv0OeAG7YGu74fv/L5Vy+5f4WeGqtRKk4qC3w/xc72vr7ILblPqGOCKDdP6OeDggIZCBqxYIqk4JGUGqiyfy1ytfDXw99pST3amF2odF/VsGQ6Pmvwh2JORrwXJkqJjsF2fHotfAW0ppap8ty1FBceW/k6bs+sT1P2gid0D6PmGz0QfZE8V0xulVJVmf19KsHRPoZADl21LKVX/GT/nqKKoty5Wa/MmhQb3i6CqAgoYMGXC5NdR562E3WPz1X5gcM3nxXSxGrYNClnwPJRSS3A5NNLksMbjidEAAoc4dJl9425XQb8EKTi84IH+m3NvNYKHrf0BPwUiXJHS5A85fiN+f2z6Es0rw6TWoNAFR2wHPMUFx8/yxqt5qUqFpsCYfnddPxSSAMirWYsdAMOmAKHqjXcWzNQgxsZbLr0/PHm5Ahsbb4kCjoE6RAFHdBAHruCQepJMgKMluQzCT8c5egR4bx69wUqySi7d5IADq6a8NGkFnF6VaSwJiw/03HcDU1OoFJ3n2rv1ykqGojT1BIOZU3PmGsu/RtpjKwU13BuDKzRokEZ/O4cUHk+M1bdA8jCQvExMkn9JISMFiZIpKVdy8GNHy8n21MTB8axFEXmb8GPvFkTaUgFM6Sq8/fXW9wWPtFoFvroFkfxc4cEjzXtvTCqHH+6+CdpSSrUgbTD1kG6MX65AEQcdCDu2C7BTSicyeXTYQEekqWymUrLflifBG7fNsaqMLqd9csjBAWQklX86A0WwN2MNdG++GjoCxQ4FB8Jmt/QU3jvM22ljUjlsTy2BfeNudwAIHugj4MD0FOmeg/eY12YuMKoYJEgiQYM6byUcCuaoChJ8O7Q3mKsXcV14zGiPNu/dNknqecqLScnB9ws9HDg44EoOeo1oSS6D8/ePcFRTkVQw+LnZH4Kj07KNKg6+TGNSX3UnySOEH//BBjhaksug+4mrtPPHpqrA8yvcFGss6So9F4WfjlPbkNJT+HZfmrRCBBxSJ9RLk1YoNZP0/+H0H++9ARp8l/wvJKjHPTAkJQcG41+syRDBCF03tls8N/i6UVlBq6BI66tJ1D0ycJ/o+v4c8otwBFNUar2VqhKJKU3lw6VTHFCCB/am77cl9AEMCTrg63eVPk05wqEPqmI4INmWcMmjgypA+H7Qz/TY1Hr70tLp8tSL450FM40Ah7/ie4QV7aklRpVHW0qpVRWCx4GWmcX1fpY3Xn23iSk4DgVztOmbRq+Hf4sCjgE3RAFHdBAHCjh4LxR9YJMetrrGFMBHyyY7JMoccLhJNWkPBd68OdzYPTYfeo4FYPfYfDGIiVS5wXPsbYEKVV/QAFqqktJbOwSOTFlm9IXgaoK/pnoCV2zY0kwkufqOtCINcEQCOWhPty0wdAsQKVjiao7L8TyhkOMvd46GM4VpWiqQmwFpJOkql5MKwEtzYvC4JyMfwvtv1EpySmVjbT3lpvxp/nDallKqcuwxABlUgCNhmXY9kGBHe6pd3WEDoSalkglwmK4bNsjx7sIZ8PNjvxFVRlJKVSSeHDbYKak5uCFzZ6AI3l04A16cuFIrb2wyxsX2aoIdput/kz8E4eZYrX1KwROvomIK8nH96H8hBedckcG3SRVQ5353swZfTOkkErRo8FVAuPMqDYrY/DhM6+dQRnql5/3HKyY5fjdXbtAR/VCwdCgHHA3COpr8Ieh+4ioHEDEQMUBeAAAgAElEQVSBjsakcri4cZhjfglwDKbr06Ojc6AluQw+yQnC9tQSseOGQwg8t76/I14DFvQc4+tpSS6Dt+fPgvb+bbj55DT7Q7B/fJ7rvQTf47Mc/3/5ObQnI19M60IggYEwBSC21BL0dpO+w9eG/udNnhLDoSHOY/L+qPVWwr5xt4vwgytB6DpQwYGfj0xZJqoYMOi/8NB1GjzgkMIEE/Dzc5mrHQCEApc3bpujAQY6b01iFby7cIZRwYHHkAIaKT2Fv0f1ClYtoXAF9/HlqUsdv9VUnYV6amxLWAfvLcpyACBcT2NSuajSwHU3JpUrxQmFHFvi+2AQLscBB6avRFNUBvYQBRzRQRwo4KA9StIDHpXLNiaVw4WHr1XyXpv3RiT+G7RXgxuLdgaKoKcmDvaPz7OWhMWHeZOZoE1J4JYuIYENDLTD+2/UzC9NPbS81CtXbbiVhuQBDCo0TFBC8iPweGKMPhKRGDjy7eDxpseepr7Y/A1M3gb4yktrShVrPlo2GcK7r3FUWOFwSUoH4OlBJn8TW+BoSgHoDBRB9+arYf/4PEeqCnpy8NLINp8DfM9BIk1ToTnwgymA2Bi/XFPB8NQ1CXq0M9ixPbXEEeBL1w9eeQVfJUWSqaSsCXK8Pms+fFOaYjUbdlNyRAI/ufJKaqd4PHamF0L3yaBmOMo9YziI5u0T26Sk4MDvcB9o8MuDXg44aPAkqRS6n7hKVF5I80qgA9UQ4aZYLWDj+8AVHBz+oycG32dpHSboIYEdkwqiwVcBn+WNVz3aXK1CgQP+B03+EJxdn6CuEdL9WoId31X61PySMoanx7w9f5ZqE/x3DVbA8Ug/4NiRVgS7x+Ybr+P8macluQw6A0Wi0aik+mhJLlPXM9N8NGWlMakcdqYXispA6Vnt/H0jHWBDanut/fuB0yWIQKEBBRIcJkgBt6TiQABDFSLct6PWWwknZiwUVSJ0fSdnz9OUGVRtsi1hnfrNNYm6hwWmqFQn9lVS4eoUOn5bnmRNA+EKBJrSsS2hrxqJTQFCy6pK6/+mNMWxX/S3oApGAho0pYT/vprEKjh31yh13Ph+vZq1WIQ5PK0Ev6N+GsemLxFLwW6NX6f+d+6vget6beYCEX5sHr0e3luUpSlHqKloR6BYAx7RKioDc4gCjuggDm4eHJJctsFXAW0ppfDFmgzjwxL33XC72VPpPjUW3Z5aAl1jCuDCQ9ep1BT6gE4DdVNZWAwE3HpgL7cU7EuTVkDvoQR4adIKeHHiSkcwLcENXvLVVOKVV0Mx5dpLcMOWvoOAwybn57J+fpxtlWpM/4FbaU7+f5iCRV5OFhU04WevdZi62iqsXE75WBPkMFWtQMCxK30tdJ/IEEtyShWDeE415kab0lRoUMJVHINJAr4hfoXDdJiDUGk0pbNwSOrWpk3pV5FADn4teW3mAvjh7ptEfx5TOpXJcNimMjIpOKRz/FAwBz7JCarrKk2nMik5eEqVm9qoJbkMemrilHeEpMrweGKgwaenhuD9RlI6oL8APRdMSg4TKGjwVcDzmatU+XIO+E2KDDrfvnG3K2l8JMtKAISv06SaxONxKJij9bbjdA51EDw0+ftMi0+vyhQDXBMcQr8PKUWFT2vwVUBnoEh1ekhKD/w9g+n69OjoHOVH83VJquiRYYIWbSmlcHRatpougW4KwdtSSuGTnKB1nabOI54yzO8zB4O5DgUHPffwP2z2h+DdhTM0xZNJqUEBB1dE4Gdso7guSX1R562EP4f8mlJEUnpc3DDcAV0oyKj1VsJf7hyt7ReFG9XkmsN/BwKOmsQq6N58tbYcTZXYlrAOdqWv1cw2uZqBKzPo9xI44fPWeStFuIH7d+6uUWr7FLTQ3yft/xayDzx9Bffp65JUcd1b49dBR6BYVG5QqMMroeA89b4KY2oL/oe8ygqqP35+7Dca+NhE1v9NaYoDtOD3BybkacBj0+j18K83RAHHQBuigCM6iAPepO+7Kc8INmrJA0+zv8/9u6c6Tsvn5aoN+t5NvcGrp2CAgpUpeg8lwK70tQ5jUeyB5KkpNDCJpGIK9X+QPCCkSikvTVoB4T+NsPpt8ECa+m3QFBlbjyz9PRwiSIaXNODmAVx7agl4PDFq3u0EFNFp7Ww6l7VzqMQDfZ7CgvvL1TTUiJQbkPL/xgQ4cDw8ebmCHCZPDskLBYPRy4Uc9PjT487B0fGsRdD9+FD1HS8bK/lxIOyw+XBI51hv7RAVjAymHtJHR+dogbYEOPirDXhwVQdPL+KQw1RJyKQIk4ApBRhv3DYHPs2dGFF5Y37tMJU4NqVS4fXRpDbC9D68xtpAHKY38ACOB04mlRGmwkhBcn0/4LClb/Bgq9nfVx1EUnFw5YZNHdGaXAaf5Y3XlsF1SjCCT9+R1qfW4vNIqg1MY5GUkRLMkJQcFFpw1YaUeoL/Q2tyGYQ7fq39T7blEEy1JutVmqR9okqRPRn51uM/2BRmj/QDjraUUvjpges17xrJJ4M+/7Qml8FXRQFjugm9HyDguLhxmBGE8E4lOtJzU4KRuLwEyih0a0wqh7PrExzngykNRVJTYMCK50h7aokDlHDlU09NnDp/mv0hTWGBEOTihuEaUOEKkprEKgi3DhFhCn3fEShWy+J0TFGp9VZC+KlYqPVWalCBwoiOQLFD5SApLqSUDQQMdd5KzYSTLoOAwwQ5zhSkq32iVVa2JfSpIRDAmNJcJFUIHuufHrhe8/eg89f7KrTfzKunULXKFjbtYDBXOxZ0Hno8qMIDv/+6JFVThFBlyOHJy0UPjk2j10ODryKq4BgEQxRwRAdxkExGTb1L9IHw4sZh2oMS7Qni6g3pxs57JjjgwNSUg8Fc+P6OeE29IcnLeVUECXDwHldb7jwPpGlAfXjycug5FhDTUkw9sBRu4H5IqRA0kDYZfXLIYApcpN5qjydGk+9jkMd7tyn84Ovgr1IPOJ0mVWHhlVdMChu3ija8wkq4Odbox8FTA2y95NL/Y/Pi4O0Rj03XmAII778R9mTki4BDKstJH4YRItryp/EV28tgAxxo4sd9eqTSuxxw0OuJTdVhSlsx+frYzEd5m6XpVthuX81aDG/OvVVUcbilq9gAB6+gZAKhHOzszVgDPz96jboWcPUG9YwxBWwmFQcNsM/97mbY3g85qOoAAQcNnCXIwUfq+SAFZBRU0OCc3tOa/X1pKlR5QLeLwZN0T8TfcP7+ERqAMXUU1LJ9MQEUU3oKTQf5aNlkh5LLBiya/SH4fPU4Ldg1KS1ob/1XRQGrSoZ+bvKHlFLHpN6o8w6uFJXH4leoa/XFDcOVsog/70idO20ppZo3islLgwKRnpo4B0Sx+XB0jSkQYSQHkk3+EDyfuUqEZhRwNPgqIPzCzWK7ljwyaKoJBQ91BB7sH58nppPQZX964Hp17vL5cLtvz5+lwUWewlKTWAWdgSLRf4OmyRydlq3BmFpvXwodgpmDwVwHsKFqCKoO4XBD8t6Q1A4IUPj8PI2H+3dsS1gHp+bMVb+HKktw/3+89wbHOrhqQwIY2xIuVUrh26WKji1sOek347bwc2tymWMeOu+ejHwHCML3J2fPc0APhCHvL5nuKBOLoAP3ASurbLwlquAYiEMUcEQHcTClqPAHS/owd3Z9gurVoVCDj5EqN6Qe2fbUkj6J/2vjoWtMgdUjggcfNAihCgG3Uo9UIm4KkA8FcyDcHKspBSgIkaqkSHDDzWODK1J4L6zkoWEqnUlBhgQ4TN4FPAjE/0UKkqRyvVKPuMmQVKq4wlU2GChS0MHh06FgDoSfGepQctD5TJADfVFMVWwo4OD/Ew8e6XF6LnM1/HD3TbAjrUirqsKrVpj8DuhDawM71+hnGqgNtgCCHxfbSCEHV3ZQ3w7JmFTyn+GA0U3JYTMfpcqwL9ZkwNvzZ4lKI2pMbIMc2E5pSpuk/OIglLfTHWlFEH4qFvaNu100xaUQjsJpmkZlyvOn087fN1KVHuUKAKyiwiEETVuhgX6Dr6+UaStZn0nxwF95APdNaQq0p5Y4gnGbqpHeEz9cOkV5YphSPVGOL62DAx38LKkm8Lj2VMeJYMIEPJr8ITg5e55275YgB53W7O8ziOWKDz5SZcn5+0c41CVcmTLYrk94Trw4cSVsTy1xgEATjGhNLoPvKn3K90Z6VuLXvTfn3qr5dkhpMPT564s1GeJ0SXH17sIZmlpH+g8bfBUabJDABv1MQQKFFggFqhOr4NWsxVZvjVpvJexML9QAB99urbcSOgLFKr1E2q/q/nOQwgyaDoLbPb0q07HfqOCoTqxSChLJ54LuvxSoUz8KqqzgkGNHWpG4PE3ZkABEdWJfKdg6r7McLn7//pLp2vE3+WYg7KDH5+TseQ6wQ/eDgx2ch6fq0Pdb4vvUHxSOcCPRU3Pmivu2JX4dnJixUEyD2Tx6vfLn4N4d1PNkE4Ee0SoqA2+IAo7oIA42Dw6eD4wPPBceuk5MTeEPszYFhwluYCDSESiGQ8EcOFOYpqVHSMaAPF8eH/Kp34NJvRGpcuNgMBcOBnMh3PFr5bnBAxObgSX6bbilo9gqdXB1QKRggwZxHk+MA1pgIGMK/mweBm5VK2jvMX3l5W0lFQfvFacpJRRGcU+OV7MWQ/fmqxXkoP+lKYWIp6mYKlbY/i8eROJ/tTO9EMJNsbA3Y43qIZfUB1IPOe/9syk4mvwh+HDpFOgIFMPDt+QM+Js0z3Hn0Ien9bSy924pLRLc46kr/FrjBujcFEi07b44cSWEm/pgqamqiq3yks0Y16TksEGO3WPz4cJD10Fn4JLhqE1pJAFst7bamlwGu9LXarn+GDgj4JBSG/g0qmT4fPU4MajnKg7eI02ndQSK4dWsxdp9je8DD5qoCgWPlQ2QmD6b0jgo5JAAzQfZU43BqAQtMA2Bmr1Kygx63BqTyuHHe25UwMIGOXCdZwrSNcAhQabBBDgeHZ2jAEdHoBhem7nAUWLZpMpoSS6D5zJXQ3v/PcGUpkKBCJ631LuJXw/peXh2fYJ2TvJXeh/5rtJnVN3Qtrl7bL76jynAk7wxTOACA+Fab1+5Zp4SwpfF31DndYIUXBahK53O4QpXgfBtVSdWwUfLJmu/YVvCOq2KCp77koqDpsyYvDS4d4WkiMBSs5JCA3+vKZ2ka0wBNPgupYtwmIOAQ1Jp8Pcc4rxx2xx1HLh6A9NUONDhqhDJi6Q9tUSBEG5KuiV+HXx/R7wCFRx0fJA91TEN19GeWqIBD67mwM8bb+n7HFVwDLwhCjiigzhE4sFBe2faU0vgrXmzjWZy2FPEe/Z4j4QtCNme2ue9EX7hZlVm01T1wCYfjzQ1xVaOlPpu/PTA9XB0WrZmZCn1tkpVUkwmoqZyr27Scgo2TGoMCU6ggsNUjYKX4rT5GEjgA+GI5NvBlRw0feX/Z+/tg6uqr/3/M5eQ5OQEpIhAEIQ8nZyTR/JAQhIM4fk5QBJCIEBIcvIAArVWa7XW0nGwKJJLJpOY3KQZEC6UL1yofHFAcoHB4ihjvT6M2lut1dFWa6stikpIvve3fn8k68P6rL0++8R+Z7426d4ze845++y9z95nf/bDen3e77WoZcWk5BhMMlg8Xi/PXQTvFs9Ux4ofM7uko/TYfVMVhynh6OnMcuj75TitWkWwkrG8548nhpPOvy5/DfQdHwM/iR6egEPq2bRTdUjJi6UEpYMBdYO1wQ1GKYZKjnPZa6Dv56Gi1Y3b3YKVN+alY6WkuKisksDokZRKuPbARAXiTCoOnjOGevxNSg68f7T7AnDjV4maTQKDKa7g4GDDFMC/XZSvQQlpGQ4N+Po6/TXQcyVd2VQogOCBnmQraUuohRtPuLX1c/WGSdUhbTNXe7QM3Ffp73KLKAdGXMGB149rD0y0LEeXpdPaEmrh/bIs9b+YlqGfX10wX7P7SIHycAMceG3iOTKCKTg6B553zs4oE1V7EiA5lLwZ/rotxqKmMlliDidXDgpCtiXUqsTx/Bzjz4KoOKEqDhPokCAHt610+AIalJByeLR465Qygf4ePY/w/+C/T9eL+8DhBAUUJ6ZXKLCBy1MFB54bktUF13M4uVLMcUFVDzzop+8xoJdsLo1xDXA+p8SYgwOPofTdvrgG+LTeK+bdkOwlHHacySrT9pXvx4GkKqP9xu49wi6uZsHvru8abcmzgd+/uaRQVH0g4KDLcRXH3tib+Tl2TXNycAzFwQEcziAOdjk4uIqj3ReAvqf05KJcuWGyp/CbsZ1//lDyZriYuxquzF4qSv65GoCWJqVybbse1WABMocbv1uVC68vmqs+m0qQ2snIKdyQwEawQJknB5VUGjzfAAcTqOCQpPv4vtMvJ2rEdXC5v0nlYUrgyI+bKVikx4+DDhoo8iSOeIz+sD4dLuWtUuqbYMlg7QLIYCU5pYSrdN+Ppm6CvqfC4VTGOjVdKhvLH2Zp4jhqRaHnHIeLn98zBXYOU8AxGNBhgh52yUn5eSPBDjtbnATnTNVVJLVY75OhRqsKb6M8p4+pfGywyj/c4nY4uRKeTl8PvU+GWpLi8nxJ9L825Q6gbRPft/v6k1CilJyOVMFBbSk0QJaCa9wmrnqgQZrJqkLh/Z8DPtifWK2WkRSNJsVFW0It9P1ilAoGTfNK0vlgahUOY/B/aEuohdOZ5ZZ9NcEHvC9jMmK8fpiWxVe0AUk2Ff4/4vHg6+X7MJwAByYZxftm7/lYBa25Co/aUPD8OZBUBX3toRb1hQRwUcXxXmm29p20DFV2SM9kks3xdGa5Zi8ztcsOXwBOZ5YbbSmSTcXuFdfLFRd0Xc3x9QpwSAAElRVvF+Wr3+aqClQ+nEyvsCg7Gsn3nf4ay3Sq4Gjx9ldf2hfXoKkTKMzASiYcEkjgQMpTcXZGma2CA0vVUkUIvuK5R/efKjleKFhuATtUXcJtJfR/OJxcqY6VtD9vLJ4j2l3ofjwWY4UpaO/h1VVwfG3hPIutBd9fzF1tsaYgxEBQxROQoiVlX1yDAziG+OAADmcQB7scHNwTvD+x2vJwhA8wvNduMJBD6klFSf9Xv10sVk6hwWSwIAPHbxJoSIDjUt4quHZ/lCVIHkyyysFU4zAlEOUKDT6Nj3bVI/A/drlGWAI7CjSkYyJBEK4WoYGhyc5CbUb8ONL8BpICxy6JIz2GNH9Kd04p9DaFwYWZxRYFB5b1pcvaHUc7WxEmhOU95NzmcDqzHG40hisVB1VymHrFJYsKlrTkASSec8dSN0Jb8qIhf5OmAYR0HQkGOrgyxqTm4Hk7pPY7mNw/UpsNBlexLV6YWQw3GsNtIRwtN/1Nc8aYyklz29uRlEr46uFxQZPiSm2Tww1JZYTX/2v3R6n58GGcAg4JVtBAiKo12hJqoWd3pFG5IAVoPABvS6hV12X8jvcSS/Cfbt8fK6ZDp7/GMg9udzBgIv2OBC9w/1u9dfDFfZPU+W8CGxRwtCXUKoUB76TgKhAKkH49Z7E4H/8N/J0XC5ZZtp3u23ACHGhRwWtIz+MeOJBUJYIG6XV/YjX0/WKUul5R9asEbTt8AfhoQ6pmUZGUsvQzJj61Ax0UwPC2JJ0/dpVUJCVHY5zVwtJIFBXtvoAIHHBac3w9vDx3kboWcBCC5+KrC+aL+TcodEHAwfOE4IiAlX6PZWJxf6/MXmqbh6Pv56GWPBcUhnCVAs6DyoSn09dblCX0Ny7MLLaoK3AehDRcPYLzHBiwg3CQIUEXDjCwHdDl6Ta8PHeRBbiYwARXabwyf6EIN/bEbIHfl+RYoAmWez2dWa7+U1p9BQFH4wDEkMYzWWVa+VgHcAy9wQEcziAOFHDwXiPag9aWUAuvL5oLB5OqLD0/duoN9P1KvapST+qh5M1wJqsM/lSVZAn07eTidoExBqmSVNxUkYOWg+1tCdVUAFw+blcGNljPv6Tc4IGxCWiYrCU0vwCHFQg4aGAtSff5ceHTD7DgR1J6SGCGJ0jlgZddOVlJ9i9VqKDHsjunFHq7o1U+DlTf2MEOqSwntxjxHCJ2VW7w9cT0Cug7PgZOTL8ZPJpKcko9c/h6IKlK9bJJQcrh5Ep4tfW2IX+TpoADH/r5g7v0QG+CRSY1h10yUp5nZrCWlWBKDmy3tA2+ULBcqcQkhRi3q9D2Odh8HCaFGN2vUxnr4It7J2u5OPj1QmqjNFjCPA+0nWIb7fLXwF9qEzSbSltCrVZFhVpDuKVEVE88JSfcNI0cpLQMbNfV705V9zaTmlHqBMDlMQ+HCWaY8m/Y5eUw7UOrtw7+ui3GmEuDTqP355cKl2jXEJO9hebt+N2qXMt9nwa+/Df/WDHd9j8fToCDAtgufw1cylulcmRISgwOaLHd0fOqnV2zOMD9YG2mphIxgXF8/15pdlCLCgJIqmLiYA3Py1ZvHVy9+2YlFUmZJNlUuF2LKiIOJW82qjdw/KwhPuj6r353atBt+dv2aFEBggAA91VScCDk+Oqh26Ap3poHA4P6Pwd8Yn4MGvTTRJlc3dCWUCsqN/D9y3MXad9zkHEkpdKSGwTfP52+XoQmuC0SkMFp2E442MH/5rcr7lRww2RJ4RACf+d0ZrkFbOBy3TmlFkULfoc2FBNAQZXGngEoQgFHp79GJRl1AMfQHBzA4QziwAEHf5ikD383nu+v185lx/wGSVUcdt5T3nuKPnCq3uD2DBoYSwn/TNYUHKVqBlLVlO6cUjifUwI39oWLSUW5LUVSbki9qSZfvKkaCk0GKuW+sFNucP88Ao5O8pkGefRYmHq3OeTgSUp5ToNgSg5Tj7gErej/ynvFaUJGDjkuzCyGG0+4LeVjpVwHdlYju2MqAQ4JVp2dUQYfbUgVEzmagnIpsDfl4MBz78rmCUP+Js0DCNw3O/WAqedTknpT0CFBV7u2zK9FJtgarLoKB6w39oXDr+csDmqlMtmpuGoMt2UwNji89hxN3QR9vxwHx1I3alV/JBBnksUfS92ojg3eF2jAjMmAaZDtco0QLSUcNEgg40hKpYIL9N7EoYgdLGhLqIUbv0rU7C6SHUVScaCq4toDE0U1hmRLaWL7KNlVONjhKo5Leas0kGSCDnQfsf3iMhxO8BHzi9Cefb5eCXBIeT5w24cT4NhJAGynvz+J6+VZRcY8HPza3umvgbeWzlbJpyXAwRWwF3NXq3u2SbVBr5kUcPCOKPq5wxeAK7OXWqxN/Bxq9dZB3/4wWzsXtXxIqg46b6u3Dj4szzDOg+cGPb9oHg86/43GcLW9ElzZF9cA13eNtuTmoIE8npsYuO+L0y0qTfH1ah2mfBQvFS7RQAEFCFKyTA5K2n0BEYLgNj6TudYCH2hA/2F5htEi0+4LaJYgqriQbCt0Hc3x9dDlr9GWo9+/vmiuZXvs7Cl0RNUJV3zsjd0Cby2dbQQkCIPwP901bav2n7Ul1Kp5HyXLUgUHAg4nyejQGxzA4QziYMrBwR9kDidXQl9HqPYgxeXxkj1FullLvagYPJyYXgGf3zNFDA7tAorBVDPgVTgo5MARlRrnc0qg73+NhpcKl4hBsaknNVhvPw00qFUDHzoRWvBcG1IyUEmlYVJj4IgKDi7b50BDUndIUER6lVQlg5H9S0ljaUUc03GVbEcccryzMk/l45DKx9oldAyWzNGUR0WyABxN3QR9z96hgkduU+EWABPk4OccBxy741YO+Zu01EMqSay5NNvUi2lSc9ipOnhlIa5EsqvkZFdCll6LKJjrzimF3hZzPg4O4ThYtbPFBavQRK+3z2SuhQ/LM+BwcqUlVwxtq1JQhUEYb5/088GkKrh69x3QwQAHD6Q4BODwAwP6Dl8A/hzwiQG+BDZM4OD1RXMVKOE911y1IQEOapXB6TQIs1sXXUbaV2k/UIkh5cfg0AKD1U5/DXy0KcUCOEzLtiXUwh8rpkOHAXBIy/TsjlTrl6DNQ8MMcNBrzf7EavhoU4o6R0zXJwon8LyTrlXScljW2HSt4+fjW0tna+el3XPbR5tSBmVDQntUi9dalpVCDkmJgd/Rz6/MX2hcDgHH5/dM0eww3MbSFF8Pry+aq8ENqi7AeS7PKtLycnBLTFN8vcqxQRUcdNt6fjZKfeZAYE9Mv9IBf5+CCSno56qOPTE3E25K8++J2aIUGnw9uL83nnBr4IbnupAAhQREOPhoiu8v2cvtJ/j92RlllvVKAIfvL83BQcHKbmJDoXCDQg7cTykHx56YLdDlrzHm4Lgws1h9dhQcQ3NwAIcziAMHHBLkaEuohU+qE+FAUpXRq2vqEWj3yUGFZHk4lroR+g574HjaBlG9QaGACW6Yek15CVeTLQXH1xfNhSuzl4q2FJ53g3vhTcFFsF5+O+WGlDjUpNbgUILm2HC5Roj5B3jPLP9eUt2YoIcENqTkjQcGCTqCwSuTkoMnHe17ejxczF0tHu/BJBy1S+RoCiCl3A3nc0rg8qwiS0UVnieCgw4e4JvyHLQl1A6rJKMPT9NzcPAeRxPwkNQF3P9Or0tcsWSyZUntloM53m4HU1kF2+ulvFXw0YZUS2UVyapiZ40bbMJRep2lIK7n5Rw4mrrJkoDYro3y40GDJzp2+PqreXSRgIsCDkk9Qb+TQMZHm1KgLaHWCAMkWMBhCVrJ6HooiLCDFS3eOvjNsgK1bdI8VKXBAYnJmoL5ALh6A787lrpRDEJxPklleWNfuPpM55PsLm0JtXBl9lINRvF5uErkufyVmuKDH4/hpOBAAIvtv8tfA189PM54/ZagxcGkKjifU2K0KXKAcSx1I5ydUWY5B6WOpQ5fQCUPlc5RCsjbfQEFLiTlDY6t3jr47Yo7od0XsDw3SqoKU1JQCh7+UpugLcsTgzbF18PZGWUKBJpsL6cy1kGLt04th4E7/b1Of422rJTz43RmuabyQMCB87+1dLZav2RDwXklYMCVEVzhIJVV5WCgw3fTJiLZZHoe94jQAiFFMwModFm79VJ1iLQf5xtUNCQAACAASURBVLLXaPYUrkLh7ykkuTCzWLS17I3dohQr9D/CEbeZKjPobz2dvt5YReWjDamabeV7DuAYcoMDOJxBHEw5OOiDS4cvAL3NoRr95z0AUv4NOwUHT3SJuTf6ToxVpWElfziOdr53ChtMiUVNJWG7c0rhUt4q6OsINcINDDBMHni7hKI0uOD7SAN/CWZI6gjJPmI3DQGHXQ+2ScaPD292eTvob9P9oL3hdlVXKOTA40whQrBSnPQ40zwG3TmlcDF3NfT9YhSczynRlBw0kKR5OEyQw1SO086qQvfxeNoG6L0Yr4JHmssEzw1+DKSHUin/Bo4PTxt+gEO6zgRTjtkpOPhnu7Yt2a/srk2mpMdSuWoJyF1/ZAyczymxlKIeDIij5wgtR23KxSFdgw4lb4YLM4tVPgFaTUVScfBgTAIdKHWnKo4T0ytUG6ZJRmkgJak4uJWy1VsHvU1hGjChCg9qfaHBOL/n7U+shhv7wpWEW7KlmKa1em8qKuysLIMBGxKg4fuE0758cLxRWUGVG/jallALnzXEW+xttNOCKzLw+EuBr9TLT58VpCB5OAGOh6fpVZ66/DXQ1xEqqvGka0+XvwYOJW+GG0+4tfOoXTin8PuDSVXwdlG+dp/g5x6HuJIKkAIObA99T4Vr0IODQDyWmLiUKiq4LYQGxVyZwd9jXgiq7uAwBNsVt65Q2xfOw3+HrhdVJxQA8G16Z2WeBlG4ReVkeoVm86BKB5rHg0MCrqYw2VR4fgya1wKtIqZ5G+Ma4LOGeNFygvvZOgCBOMCQVBncosLVIRR2XJ5VZNk/DiSkqiqPDaheTFaWCzOLNcsP/R63gZeIfXTAsvLK/IUa1KBA49UF8zUFh2NRGXqDAzicQRx4FRX+8NY68LCCvWM8mAoGOaQgQgqEDydXQt+zd6gymqZKFBRu0MDXzvMu9ZaaqqZ055RC3/8arSpvmHzwPBGlFFBI1VKkShumvBpcESHlwRgscKA5OCTAwR/GJAAiWVakwNwEPGhpVFO1FSn5qJRnRapSgcfZlI+jO6cU3lg8By7PKhKrqkhWlWAJR02JHE0BJO7f1zvHwunMcq1SRbB8HFLPOO+dHa6AQ7rOcNDB30u9mpJNRZrGj4cpASk/tlx5xEGHqeQxhxx4HeLt0k5F9vdYVaRysbgfJ9MroG9/GBxJqdSuPRTASQEcVxtxhRFO6/LXQF97qPqMCo5Wr7XH2NSLTIPsc9lr4MT0CqU04EoGCVhIdoy+ZyZpdgwKJTC44fACA6x2XwDOZJVpvdnS8iZQwmEO33bJevLHiunqvWkefp24evcdmo1IUmHQZTv9NXAqY502nR8XGhC3+wIKXknwZjgBDlRw4LnQ5a+BjyuT1XkiWUYowMBlenZHGhVR0nPUp/VeUZEmKTjoKAFi2kZOZawTIRZvg5ivhyoq6CtVYJigBoUYqAaR8mbguYHbLeXowM+4T/w7SRHCk5pSFcfVu+/Q8ohgFRX83Om/mVCYggUM9qmCg1pUTIBDsoPsY+/pctxiQoHEvrgG+LTeq+UHoetrjGuA/YnVFijD18Orq+A6qIKDg5VDyZs1pYXdvnJQgfkwJDDS7guo3+TL7YtrUHk49sTcTCSK+TZ+PWexBjwo5DiWulFLMuooOIbe4AAOZxAHCjikh8pWbx28ULBcs6dwHyd9aJUkmPTma7IynEyvgN7mULHMpl1pRpPfHR/0pYR+tKeUQ47n71wB75VmB5WHY3BiCiak3AwmOwq1okgwgysiJJBAH5RMMIImGeXLmaTnJujR4QtYtoMHhibrCg8SpeSNPJks/p9SpRw7FQe3Ip3PKYG+p/TEscESyPJcBzzHCj/eVMkh2ZAOJW/uDx5/Hqp6x6XErvSYSg+uFHDwQOafAXBIwTP/ToJDUgAh9XiaYJ3JcmUHYSWLlQQ4aF6gS3mr4Lcr7jTm45CqqpzOLIfunFLjNUmyUknAFRM+f3HvZFX1hycZNUEiHlyZjle7LwBfPjheAQlMMsoVFxQy8KCaBuT7E6vh8qwidV5I9gkpaKP2j1ZvHbxflgVdfjnRKIcbkoqjZ3ekWu6bWFJMKhEKK6Se9Et5q2yVFRLoODujTKld7Oal9/y+wx7NdiJZVXC7eI4G/j8ON8CB1xq8jpyYXiGWijVdg7r8NdD3vyeqZSRVBgccfU+FQ5ffqvDg8+K2SUpAfv1EOIXtgiunaLvr9NcoJRBt2xKY4N+bAIbJxkLh37HUjeJyCCZQccTtMRRoUBWHSS3y/J0rtPXSHBwIW3AdOB+HDNJ0bj2hNgsOGDr9NUZFBU/kiQE/Tr+Ut8poN6FJSgej2uD2lvdKs8Vt2RvbX9GErhcTf/L95tu9J2YLHE3dJCo+9sTcVKzQ6ajC2Bu7Bc7nlIhKkcditsDHlcla7o1Ho7fCrmn98OOZzLUa8HAUHENvcACHM4gDzcEh9W61JdRCb3Ooegg19QrZWVN4wICvNKHmG4vnwMn0Cosn3M6eQpNPmuwpwQJeqtx4sWAZ9F7yqZKiUoI/UwJKUyCBATovHUrtKFKuClOejcGqNkzzIOCwU2mYJK528/N5OODgthlTdQp+3IPl45DyG+Dx5tJ+BBwXZhbDX2oTvlHCUalahQQ4JMUOP+6Y46C3O9oSPHIFB/9/ee8fV1HheTmckvg9NLXUmGvEDnqYwEawgCCYcom3Xwlw4HVKKnssqTgo6KDw9fqu0WLb5ElHOYSjdpXBqDhMOTmeTl8Pf6pK0tRXvH1KUnx6D7BT3+DvtvsCFsBB1QwUCnC4QSFH75Oh6ryQIIdk/eBWFvxfMIDh4EFScGiA43EPtCXUGpdpZstInyVbh8m2cjxtgxaQSvPw8waPo3TtkCwqbQm1Wt4OyZZCl2n3BVSiUa62afEOrxwcPMlop79GWRHpdHpN4tauTn8NXL37DjiYdLOSip29pctfA38O+GB/YrXxWsYB7onpFZbnNK7ioFCYQyva/nC+r3/6HQ0UcqBAlRJcLUHtK9L8EhhpGQCQzWxerow6l73G8h1XaLT7Amo7JIXJxdzV2nReJhbbOd0XChRQ5cGDezt1A7ekdOeUWvJYUDUIVWjwKivP37lC++854Hi/LMuiMJHUIhxkNMY1QG9LqBGetHrrRDAiWVPovlE4w79Haw1afmgeDZznnZV5Cqjw3/pTVRI8FrNFQQ2abPRwcqWCHrudJKNDcnAAhzOIAwccvJes09+fMIt6MqUHJv4gK92UTYDjSEol9P08VIEAnvCOPoBLlQqClWQ0wQ1qXTiXvQbeL8uCi7mrNfsCV25ISf2CKTdwv7gyRaqSQl+5PJ4GvweJJ14KiumI5eco4MBg2Q5USNCCA5Auv7Un1w7A2Kk6aKUKO/WOKWCUIIek2unOKYWvd45VNiRU65ggh10iR1MJYFMZYNqmL88qgnPZa+BQ8mYj4DBJjPHhilsBhiPgoAoO3G8JcEh5OaSRP/hLPat27Z/brkzlY7nijKs4sC1xuEEhxvmcErj+yBiLouyblDamkCNYslGuNDqaugmu/b5Y5UXiNjl+/ZFURhLowOPY6a+B98uyFOCQeoxN7xF20HvS5VlFcDCpSv2GBAVMqo7m+HplnXn+zhUKcJiUFibLy1tLZ2uAQ8q9YVKC8H2VPnMQQVVcJmUFBxad/hr4sDzDYlHh66XnGVa9MdlUcBns3b569x2a4oP+zw/esWbYXJ9+QgAHtvdDyZuVDYhfxymoptNOpldogCMYiD2dWa4AB++QkEAjgjB6H5EAR6e/Bi7PKrI9b/AYX39kjAj7JEuWZBXBXBWodOr011jUHRRStHrr4O2ifPV7PO8HtseX5y4S7TDUYnJ5VpFlmzC4b4xrgINEBcIBB/7WoeTN2r7wYP9wcqUlPwYN+KXcGxRS/GZZgTidWlQkkNAY1wCvLpgPLQbYsC+uAY6kVFoUGBwMcPiCv/nawnmafYYrPCg44UCCl72l/wHaTKRSsvQYUQUHbtt7pdmW8rH4+bn8lQp+7Jq2VdumszPKNOjhKDiG3uAADmcQB7sysa3e/qzyJ9MrtIcoE9SgQYUpUODB7YGBRHOfNcRbrBvB7CkmuMGDXMnjztUbF2YWQ29zqKjekJQbtIdUyrshJZvkFUTs1Bs02KVJKKWggkMFkxqjkwEOE9yg6xuM2kMCIPx440OdlFuE5+MwwS0MyBAomBI48qBRAhwXZhZDb1OYMdmonVXFBDloLg6eUJb3jh9M6q8a9OU7yyzVVKRjaeqV42qG4Qg4UMHR6detcVIvJIUfEgCyU3MMBnJ0+q32Oqm6Cq8IRO1VHHJISjOq5LjxhFtLOHoue40G7qjaiCs4TCWr7ZRGPNnoxdzVKvii6jLJ5ia9muTweEx7L/nUtUkKyjlEkNQYNHB/fdFci/VCUnFQST61qbT7+pNq4zpMIAIDLr4dmDxYsp6YLCpS7g0JnnA1BO73+ZwSDXJQwCMpLzt8AZVrhEIOuk4OOd5ZmWfp6JD+X3x/9btTocMX0P4f3JfhCDjodeNAUhV89fA47VouXXPotf1gUhUcT9tghCK8AwKvL3a2O/r+wsxiUb0hWccuzCzW2hMHWdj2v7h3skXBYafk4Pku6DzN8fVwKW+VBWrQscVbB9d3jdYAB59334A6gc7Dt2dfXAMcT9tgyRNCFR7cwoKAgwIZ3F6e6wJhwGsL5xmtHtS+QUdUT+yJ6a9IItlPcETAwkHFvgFAg/lBqLoE53l90VwNGnCQwRUWdN2vLphv2RYOIqScG3aAhypUuEID19virYPHYrao3BoUyHxSnSjm59gTswXeL8vS1otqDUxsSu0rDuAYeoMDOJxBHHgVFf4AeP2RMZrk16TikHpO8T3eKPDC9PAd2+C+27fD9ok7oGbcDmhLqIXtE3fA2lu2w6pR22CxZyssiNgChe46mOWuhVx3NeS6qyHLXQlZ7kqYHrEB4jxFkBqxHlaN2qaChyMplfD9SdthzS3bYVnkXXBieoVYUUOyp3z54PhBWVNMifxM0m9TDgYONkxVU4LBBAlq2I00yShKZWnvD+8JavfJwR79TgIb0jbS5IRUwUPhjsmuYiofa1c6lgOOM1l63pX3y7KUisMuFwdaAIL1kJuSjUp5ZTBBW9/T4+FkeoUlsawJVtn1ilPgMRwBB7/2SDY5CWZI0/jDP1edST2m9JhwyMHVR3jO20FZhHLBEiF355TCVw/dFrSqk901isM4U64YDuEwX0xvUxgcTq5U+9vptyYbpSMHR5LKiAZTB5OqNIsK3oOahPccdtD7VbsvAD0/GyUCDpMygn/X6q2DL+6bpAV4JhUHzbGB6+j012gJNiWZ/WDUHXYWFa7euHZ/lHhumMZ2XwD6nu1XZEjAQnp9beE84/wS4Hht4Tz17ECnN8cPrxwcO1mZ2I4BkN932GOxb9mpMvYnVsMr8xeK3/HlOv39NphnMteKig9pGlZp6fAFVLUfE+DApPLBlE89PxtlaedUUcEBBJ3Gk34idOAggqsz+k6MVc+UUg6NFm8d/GF9utoOCaw0xdfDu8UzjfYZhCnULoNJRnEdLd46eP7OFVqSTq6q6NkdqX3mFg0JDlDlxAsFy422FlSZmKwkaA+jFhW6rV89PE47FtI2mSwqbxfliwoOSVlC95dCC+lVUpLQ9bb7ArA3dotKFkrn+bgyWVNi0N+7MnupJW8HxiMIONCm4lhUht7gAA5nEAe8SW8cVwGVY3dA+Zh+yFA8ehusHLUNWrx1MMddDwXuOshwb4SUiHJIiSiH1Ij14PWsggz3RpgWuRSmRC6AsREZMCVyAUzw5EOUpwDGuNNgbEQGjI3IgDHuNBjvyYVxnmwYG5EB4z25cGtEFkR5CuDWiCyY4MmHCZ58GONOg1HhPhjjToNJnkIYHZ6o1jHJUwiTPIUw3pOrlsdlb43IgimRC2C8J1fNt3PqXWJpWA44LuauhmsPTNQCXVOlAgxwB1MSlga2djk3TIlF7SwqUgBsp7rAzzQHB+8ZCtYTJAUv0npM2xXMpsJhhynpKOY14ElHOeQw5V+hSo6e3ZHacbdL5ChVzpHyG5isKhLwOpNVpgI8GjxS64+kLuDBO5caD6ckow9NLdUCN/qKvdUS6JGmdfisSg7+30rtOlhblqqrcPUZbbMmMGeyVn20KcUIYE1qI54vxu46Ras7cbvK0dRNcOOFNKVMkKr9SBBOAnG0reKxOzDQc+1yjdCggmRLkV5p8NWWUAsvFCxXD/eSzN4EDeh6LuWtgk5/jQgjTKoL/NyWUAt9HaFqG/j3prwcXOnB97GJbWsz+T3aEUGVFxRCILzBY/HZ1ljLMtKyVG2zP7FahBtSAHwoeTN0+Wss29DiHV45OFDBcSx1o7pWdPlroPfJUAUBTcowes/cn1gNf9serak97OY/lLwZrn53qlHlx6cdT9tgueZJ18q2hFr4sDxDO87SedjqrYN3i2dqnVjcmkKnm5QUaFNpjq+H3664U1Ne8GURcLQOnA/09+g59cV9k0RbDJ3W2x1tUZLweSmsoYADv+t53KNZMvj4cWWyERzQwJ8CAQohXixYZlFX0PWYkn3S/1QCDntjtygbD11W+g3J3nIyvULcZ/r/8Pwa3LIivVLQQr9D+PHrOYs15QZd/6/nLFZQg1tV3i/L0uAGJhndHb0V2hJqtSoqDuAYeoMDOJxBHPAmPTrcr0GDsREZEBEWC6PCfTA6PBHGuNPUdAQQt0Zkqe/codEwwZMPEWGxMMadBhM8+TA2IgNujcgCd2i0AhURYbHgCfPCLe4UNR+ua1S4TwGQW9wp2raMCvcpGDLOkw2jwxMV6EBgMjVykYIdkyPnwQz3ZlU9hQYFXL3R2xIKF3NX2yaZtLMnSAGDqWoKDeIxjwaXfJtsCvx7DjFMkvp28tBlAhz0IUzq/bF7cDIpN+y+40EiBx2mhKMcckhVKqSqKjxgxJ7xjyuTVd4V3kNughy8h1zKcUCtKnYlY4+lboS+wx5lU6FBs/Sf0UAdjw/PTTHcAAfm4JCCLhqwSbCDAw/J0kL/TxP0sAMcUmUgCcpxFUcwaxUFGN05pXDt/qhBVVPhKg6p6o+kODMpOQ4nV8LZGWXwdPp6rayxdL2i1weTJYgfny5/f4JFVHDwYJhbRHiAzwNs/H0euHMVAQco9DPuO1Vw2AEJrirBXma6LAcbHHhQmML3kQaV1HaC5/zbRfkW1QoHEVw988V9k+AAyVdit1yLtw66/DXwdPp6ozpGOg4Iifg4nACHpODo8tfAG4vnaDk1pHsmvefuT6yGvl+OsyQglUDr/sRqOJS8Ga7dHyXeu/n9G9Wa9By0s6r8pTZBO8603WF7bEuohfM5JQrkcYjBoQLmZ0BVxL44q2riUt4qDSpQBQWeF5/WezXAIUGJv22PtihJ6Hm3L66/jCpaOEyAA+1rCDia43Uo89GGVLUcz5OxN3YL/LFiupgnwwQS9rDg/dUF8y0whC73zso8UT1CE6HS7+jyf6lNUADEtE0czOB6TmWss6yXft/qrRO3m8ILDiq4PYYDjr2x/UCHrpPCk0/rvZacHwg6XipcoiUWpYqNk+kV2vxOmdihNziAwxnEAW/SkWHxcIs7RUGNiLBYGO/JVQCDAg064vzjPbkKfIwOT4RR4T4FJijQGONOg1vcKTAq3KfWh/Mi3ECIcWtElgYxojwFGoTB+aM8BWo5XM/kyHng95TCqYx1RmsKVtWg6g1T/gUMlrlygwazUjlYfFDmPn0MiKQEnHYJJ02ScAko8AcdE+AwPYCZYIbdgxpfp2m7peCIqzho3hIpeSOHHFJlFarikGxKF2YWQ99hj0XF8U1gFwaRUuBoSuRIe/l7dkfC8bQNCnjZJRulAaOdYmE4AQ5UcEgy+mDQg+d8MI2SdYX+53bAjio4JPURzR+EbRYBB7eqYFulUA7b47UHJmoqDrtcHFIbtSsZy5Ph0rZ6OLk/781HG1JVQlyqNJLUY8GUHBicI1zq6wgFl2uE6g3mKgtJtcGVHlTFcWJ6haYG4VYWCW7Q9XT6a+CV+QuhLaHWVmFhghZ/qkpSAaLJhiItyyGOpDyR/oeexz2auoLuJ1c+4bQzWWUqvxaOCIb4evAceaFguQWI8P8V33f5a6A7p1ScdzhZ6HaSHBzY1vcnVsPT6evhcHKlBfjzEcFDl7+/7CoHhqZ77v7Eaui5km5rZeT3ZUn5J90/3lg8RzvO/BhjO0eLKwd5HCyYlBv8XPjqodvUuqR1NMXXw0uFS9R5yVUZeB5xCIIQg9pZXihYLubfoIlIMUkoAg5qaWnx1sGXv1upIAFf197Y/rKnXEHBFQ1S0k0c9ydWa8vzXBy/W5VrVFogoOEJUPH9+ZwSaB74b+i24X+FnyUAgjmG6Ppwmca4BjiUvNkITiiw4BAEf4/CC/oeq8o0xjVYcm2gSoPDjcditsAbi+doeT0o4Oj012h5ORwFx9AbHMDhDOKAN+lRYQkKNFBIga8IJsa40yA8dCqMCveBOzRaTUfVhTs0Gtyh0QqO4Heo4ECwgQqNUeE+bXmq2rjFnWIBHVGeApgcOc9ibRnvyYXJkfNgkqcQojwFMMGTD1MiF8Cx1I1akEDtCedzSuB3q3KVesMOcNj52XliUQ43TMlFee+v1HtP7QqDgR2SqoK+R8DB827wV2kaf8hq91nhhulhjAdBHObY2VR4wGhSctCqKt+kVPCfqpLEXBymiipSD7kUPFJVj1SKE8cXC5bBM5lrVXvhgEt6GJYeTGkQM5wCiIenlVgABYcavHea53zg0yR7D/1fOfAwwTqu5KDqLKncMa2oQuEGtiMpOS5VcXxSnRg0X8w3rfxD26lkUUGbSt+zd2jVVCSbCs3vI11TpF7jdl8A3i/LApdrBHT4AmLALCknuGoC5233BbQKIZKVhb6XFB4dvgD0PRWuIIWdcoOrO1q8dfBCwXLo8AXEZfk0ScVhmlcCMq3e/mTgqJawU2JQuHQ4uRI+LM+wgCcTPGz33ayMYqf4oPN/sDbTApma44dfDg5+3+zy18CRlEo4n1MSFFTg913+/tKvB5KqBn0/7X0y1JjnQ7p+dflrxGsdHnsE55dnFan3EmTDdof3cgnecUjBgYUEO57JXCtaWej6jqZuUsoKuh4KHk9nlkOrt84WqjyTuVaDGfz9vrgG6PTXqOCdl4ltjq+Hnt2RGuDgVo73y7K0/Bcm5QZXWOBrp7/GYi+hn18oWC4uvzd2i1Ki8RwhuJ0vz10ELd46S54LblmR1CN4nTZBjLMzyizQhm4jTygq/YZUVvbNJYUWZQd+9/qiuZp6Yw95fWX+QktlFbSo4G/tdiwqQ3ZwAIcziAPepF2ufwGXa4QzOqMzDovxX2Co36Sda5MzOuNwHZ3rkzM6ozP+I45D/9r0zzY4gMMZxMG5STujMw7HcejfpJ1rkzM643AdneuTMzqjM/4jjkP/2vTPNjiAwxnEwblJO6MzDsdx6N+knWuTMzrjcB2d65MzOqMz/iOOQ//a9M82OIDjWxxefvllWLFiBXznO98Bt9sNSUlJ0NTUpM3z/PPPQ35+PrjdbpgwYQJs374drl27ZllXT08P/OAHP4CoqCgIDw+H7OxsOHfu3N+9bc5N2hmdcTiOg7tJO9cmZ3RGZ/x/PzrXJ2d0Rmf8RxwdwDHUBgdwfEvDs88+C6GhoZCTkwONjY3wb//2b3D//ffDfffdp+Z55ZVXIDw8HNLT0+HJJ5+EH/3oRxAWFgaLFy+2rK+8vBxCQkLg3nvvhfb2dsjNzYWQkBD41a9+9Xdtn3OTdkZnHI5j8Ju0c21yRmd0xm9ndK5PzuiMzviPODqAY6gNDuD4FobPP/8cJkyYAKtXr4b/+Z//Mc63ZMkSiIqKgs8//1xN6+joAJfLBc8++6yaduXKFXC5XLBnzx417fr16xAbGwu5ubl/1zbiTdo9cqoq5+oJ84I7NBpGhftUlRN8T0u+0u9plZWIsFjwhHnBE+bVvseKLFhJBdeBFVPGuNNUpRWswoLfY+UVXM+tEVkQ5SmASZ5CGBuRoSqpYFWVcZ5siPIUqEoqvDRsX1cYdOeUqioEvFKGXQUCqcQirz5wUKiUQiuk0AoEvFIGL03JqzfQkm9SBQO6Pl5lxeUaoWVtlyqk4Lx8erBqK7w6glQ9YTClZHnpXPzfDrCKKgeTqlRVElqWFUvGHk/boCqqYNWTUxnrjNVULuauhlfmL1RVdmiVCl4uFtsHbSNYwYVWVOHlYnkZYXx/JKUSvt45VpWL5VVmpPKbvBwg/f+DlYkdStcmqYoKr5oilcE0VV6hlR74slLpXek84Oenqd3S9optlZY6xvYqVQAyVf/pzimFvmcmaSVjTdWfcDRVgeLXsmBljZ/JXAsn0ysslVT4tY2e1/zclyoAdfgC4HKNgFcXzNeOo6msK61kwsumYiWVG88nqyoQ/LjTCiSmyiQdvgD07I5UlVhopZR9pJKCVEK2Ob4e3lxSCO0D1Qak7+m+8OmmUrG0wgx93+qtgy/um6QqqfB9lc4PrIpyIKnKUpmIV5fB5bE8sDQvnR/XdySlUiv9i2OwKipD6fr0k4EqKrQMK95f+46Pgf2J1ZZ7nXTP7fAF4EBSFbyxeI5lftN988DAeUmfGaSqLfh7l/JWaZ/tKktdylulnT/SudPuC0Dfz0O1CjmmsrC8qkoj+55XQ2lk0+j5/mLBMrH0Ms7f4q3TqrvQ9dAyr7QCCt0unO+3K+5U012uEZYysq1kHbxELJZqpdVGeAUVWoaVV1bhlVOkKiSmdWMVlxuN4ZYqLDg2x9fD+ZwSY2UXWk2FVmjB//JY6kbLenH+N5cUWqbz0ri0BCxWO9lDSrrSaim0igr///D7CzOLVeWUx9h3tCoLLRWL7/cnVqv333OqqAy5wQEc38Lw5JNPgsvlgrfeegsAAL788kvLV5PqAgAAIABJREFUzfrzzz+HkJAQrVcCAODGjRsQGRkJNTU1atp9990HI0aM0G7mAACPPvoouFwu+OCDD77xNuJNOnzkFPCEeRWcuMWdAhFhsTA6PBHGuNPAE+aF8NCp6j3OS6EDQhEEJAg7sMzsGHcaTPDkq99A2IHz0BKyY9xpMN6TC2MjMsAT5oUoT4H2WxRiYBnZcZ5smODJV6Vix0ZkwOTIedAUX68Bjou5q6G3OVQDHDww4GVAT6ZbAwIasNJg4IChHCyWguV17k2lXk0POcHKWEqfMfCggOPvGTnkoA9E9DsMWuj3fB34sMy30y5YpKVjB1OGE4/dYErGdueUwo1fJarA0Q5w4Iht5FTGuqDBI20rPHg8mroJel7KgnPZa9T+8bZiKgeM/zOO+xOrg5aJHUrXJhPgkCCHqXSsXeDG103LJuJDPB+l85QDOd5mOdCiQI62Vwo4sM1ie8W22PO4R5W3pm1UaqcU1tJrGUIVqaQxHQ+S7T+ZXgF/rJgOx9M2WEpbS2Ws+TWBgzg6zeUaoQEFU1lU+toUbwUBqqTpd6dC10AwTstdtrJ18dKxFJL0XElXAToHEtIr3WYMJmkZWAl2NLFppvXZgY9Wbx28tXS22lapjUtlY98vy1LHyQRE6Hhg4FolfSeBpIMD1/hvCjiG0vXpJ9Ellnsg3sM+rkxW9znTvZSOB5Oq4EZjuAZF7MaDSVXw5pJCEYLTewP+3pmsMst5KN27230B+GhDqjpHpfbXHF8PbQm10Hd8jAr07crE0mmNAkzg0FACF3i+v7pgPuyLa1Dz7WPrafHWweVZRaokKoUYHHBwELMnZoua9uaSQrWNLtcIC5zBtk5/h0MQWj62Ma5BhBqPCSCAggq6HC052xxfLy6Dv9XzuEfbZxzx+79tj9ZKx/KSsbRULC6Dr5fyVmmf6W//blXuoAEHnb4nZgucySqzAAp8fbsoX/0WX8fh5EpojGtQ4IKXiqWAY3f0VlUmdnf0VtgX1wCPDrx3AMfQGxzA8S0MJSUlMHr0aOju7gav1wsulws8Hg80NDTA9evXAQDg8uXL4HK54OjRo5blZ82aBRkZGerz/Pnzwe/3W+b7z//8T3C5XHDq1KlvvI14kx4ZMlEDGwgr3KHREB46FW6NyNIUHKjM8IR5YWTIRKXCuDUiS82D83nCvDDGnabWQxUfFGygMgPhCAIRnH5rRJaCF6PCfTDOkw23uFNgbEQGjPNkKyiCao4pkQtggicf5rjrtSD2pcIl8M7KPAvgoEErDwgwaMXAlQYDR1Ksyg0EG1zF0cWCd0mdYXr4MYELuowdINmfWK0ABwcOpqBEekgyqTboPHzdJtWHBGVooEQDKNojTkfaO86DRt4rTgPGZzLXquOPbaPnZ6PgwsxipeDAEWEIV3FIwaPUViQgdpBAmsPJlXAxdzU8k7lWQTLcZ/6fSA/JPPAPpuAYStemh6eVDBpsSCPtubabxzRK6iQO7SQ4tz+xWikdDrD2agc4uOqIA47unFK4lLcKep8MtajQzs6QIRy/pqHKCOGGBG3xukbb6enMcug7MRaOpm5S1zaq3ODXM3r+0/8Qg2T6H7tcI+DaAxO1oIrDDTvoQT+3+wLwUuESFVzbqTWoIoJ+3+ELQN+JsUqxwJUjEqzAoKvFW6eOaxObhytPJPAhTZcgD93+VxfMh44BUEFVExL0w/fnstfAoeTN2v+N/5U0Hkyqgt8sK7AAEQluoAoGIROdNxjgGErXJxPg6PTXwJtLChXgMCki6TX9YFIV9FxJh/2J1UE7F1DB8ZfaBAsENy1zJqvMeO/m42sL54nKN95O+g5FaBCEQw5JjUEBBwUBzfH18Fz+SlHdgd+3euvgtyvu1OAEnRfhxfmcElEdQtd1MKlKAxZ8fR9XJmuAg4MZBIV0eR7wUwhBQcQeIcjny+J6EThwiIHr5uvEea/efQc0DcyD0yi8eL8sS1NnSIoMCm6oMuV0ZrmoHNkbuwWeyVyrbYsJZlCIgQqKUxnrLPACx1fmL7SoN3A8mV6hKTVwfHQAcOyNvQk7Hh34LYQapzPLYXf0Vng0eit8b/JaB3AMscEBHN/CkJqaChERERAREQHbt2+H//iP/4Dt27eDy+WC8vJyAAA4duwYuFwueO655yzLr1mzBiZOnKg+JyUlwdy5cy3zvfnmm+ByuaCtrc12ez755BN44403tPGXv/wluFwuCA2J0hQVqL6gKgxUdISHTlWA4xZ3CoSNnAJhI6fAqHCfUnKg/QRVH3QdEWGxMM6TrcDGOE+2sqSgKgShyNiIDAUw8HsEH2MjMpTKA6fhuhBwRHkKoNBdpwKD7pxS6O2O1uTdGMDywJUHA7xXnvfEY2DKIQfv2aU9vvyhxO4hxe7hyAQ2uIXF5Rph6e2R1AF2v9nhMwd8XLnBoYZJ8cG3g/43FBBRZYxkVcEATeoV5wEjDRqpuudS3ioNcEjBI4Ub3MokqThwu7hFBYPew8mVcDxtA/x1WwwcSt5sgWH0uART9LR664ICjqF0baIBhB2IwIdsu4fyYL3UJpWIBD3ofy+da7TNIuygQIuqjkztVVIcIYzr7Y5WbbQ7p1S1ZROEM6k40EpFoQu33OF4LHUj9J2ZDEdSKjV4y60ppusYtk/p/3S5RsC7xTPVPBK8kNQQErBoS6iFTn+NOn4UBEiBmmT7aPcF4IO1mbA/sVr7ToIbFFrga6e/Br566DbLPJJKg0Mcu++48qSV7C8qRqT2TtszfndwAKSaFBkSsHhzSaFmXTApYfA/PJhUZbE3BAMcQ+36xK/H2PZPTK+AA0lVQe/leN/cn1gNnzXEq3PK1NFB742fVCcG7QjB8UBSleW+K11b230B+OLeyRblEwIGtGe0euuUggPbPoUIkv2DW1G4OkOCDhSANMfXw3ul2dq5xOdp8dbBS4VLNAsKBSCNA/MdS90owg0EGKcy1qnfoRYVVFagioUqIChAQJUHQoLd0VstAT4N2LnSYW/sFjiXvUaEIRwSUZiA2/dJdaLFNkOVIb8vyRHtKPiewhK6jwhH6Lrpdl+eVWSrUKFWEb5vnf4a8f9pjGuAr3eOtcAhXA/+z1T1Qe0vuE8INehrhy/gKDiG8OAAjm9hiImJAZfLBQ0NDdr0+vp6cLlc8Pbbb8NTTz0FLpcLrly5Yll+48aNcMstt2jrW7JkiWW+d999F1wuF/zrv/6r7fb85Cc/gf6kWNbRPXIqjA5PVLACbSYhI8YrKBEe2p+n49aILAUsbnGngDs0Wik8EIJgLo1b3CkwOjxRQQuakwPzcCC8QECC6g1UbSDIwPwaCEVQvTHJU6imocoD1SQTPPng95SqwODCzGLo6wrTAIeUW0EKWO2k3FRRYMq9waXcFHJIDz92Kg7JmmLXqywBDg5HTLk77H7fBDl40E2DwmD7Qf+XLr8OOeh/SwNGGjRiwIi5OFDFcTK9QuwV5zaVvuNjLAoOU1uh+Q2kHBySTQV7xnm7OZa6EXpeylLTuerHDmxQa8VgFBxD6dr0k+gSy/7ZgQhJvUGDPEneL/U+c7jBA3MJ+vHzicM5E+TAdsJtKpgzRgJyLxUugQszizUIh9+bVEYmCEchh52V6nByJbxXmq0sKhKIM1nlTNcECjieyVyrQKik0OCWDVOvMgbX7WRdkg0F56XLUfj1QsFylaOCbwMNuCj8wKCr3ReAG0+4LXCCQw4uzbcDORJMwG3n6iapbUtQZH9itQaeTOcD/qef3zPFcp5JcAPPt8uziixAJBjgGGrXJ9N9Gs+brgFYga92QOLq3XfYWk7o/PsTq1XuFTuwQe+rpnMRjylO+7Teq50fJhDYszsS2n0BW4uKZCORlBdN8fXwzso8y3xcIXXjCbdFwcHnf2X+QgtM4dt1YnqFMTfIvrh+GwbPwUFhAIJMSbmBUKDDF7AsR4N3al3hKofGuAY4nFxpUVegXYXm+KBgAr/7U1WS9j3fjuuPjLFMl1Ql9Duc95PqRMuyOM/F3NUWtQYFEgh6qIIDx4u5q5Xags+DqhFJwdE+8D/THBzU3kLtK9Sqsjt6KxxL3ahAiAM4ht7gAI5vYUhKSgKXywWXLl3Spl+6dAlcLhccOHDgH6YXwj1yKoSNnAJj3GnKluIOjQZPmBfCRk6B0eGJmtUELSwIPtDagpaU8NCpCmxQuOEOjVYqDbSl4HoQniDcQFCCCg1UeWDSUVRr3BqRBZMj5ynlxtTIRSofR5SnAGI8y5WC42Luanj+zhWWJJJS/g0aCFDAYUrCJ+Xd4MlEuf2CQwbeQy8FUFLgYOo5pe9pDo5OYbskxYBJJWAHNEyqjsEsa1JzSMEil/3bJW88MV1O3shzG3TnlEJvS6hRwTEYIGYCHFTFwZOMYh6O3ovxcDR1kwVw8PYiHRsaMP4k2h5wDKVrE1dw2Mmr7SwoXLVhBzckyMF/T4Ia9NykUJMrjxAWcKsKQjmu4jC11Y82pViuY6YcHFTBgUCOXtuCJRnF8wx/z6Q0slNvmIKqtoRacLlGqHWagnQOMkxKjlZvHXT5a+BY6kajlUJSfvBA7sT0CqVAkKwkVJbPp7Ul1MLXP/2Otqxd7o7B5t+QYAdVrUgqDA6D8H/v9NfA8bQNCnCYzht67nxYnmELUPj8by4ptCg9ggGOoXR92kkALL9HH0yqgqfT12v3NA71+XJ/rJhu7PjgarEufw1cf2SM5VmC309xRJjFz0HpHnL1u1PF6yVtf63eOnh90VzVTiSYQG0p3KIiAZCDSVWabUWCJaiMambrpfYTVHmY8n/gb3HLDAUdBwa+R8DBFR7N8fXQ5a+xJOLEdTbGNcALBcstFhOutuBWDgoMjqdt0JQM3DrCLSgUZrxbPFMpG/h3jXEN8F5ptmW7JJhBv8Nlf1+SI8KNvbFb4MDAMZQAB08qyoHKc/krLf8PQoo/rE9XMIhDDAQcUt4N3GYKNVC98VhM//Y+Mu0ueDR6K3zXARxDbnAAx7cwLFiwAFwuF/z3f/+3Nv03v/kNuFwu2Ldv3z+MjzRiADy4Q6MhbOQUCA25XX3GMWTEeAU9ULmB4AIVH2MjMpSFBe0sqMrAvBn4PYKOsREZKs8GJhVFkEHzgaClhSo7qC0Fk45GeQpgvCcXJnkKlVUFA4NP671wPqfEkn+DVhyQpNy0Kobp4Z8qDEy9myb1BA8CJKWEJC3lEAOn89/BYMvlGqFJyk1wgz+MmYAH9rZ2+AKWByXp4ckEO6TeKTvIIdlUEBhgsBgMcnAFBwaNv1lWABdzVxsrqdjl4eAVd46nbYCn09drgawk/cc21bM7Eo6lbhQhmVRtR4Icrd7gFpWhdG3ayTzuEuwIpt6QerFNUGOwig5pOyQFElVwmYActVVxBYed4qjncY/RRoXz4vISuKW5YiQrFU8yeih5MxxP2wB/WJ+uqdW+CeDg7RVHvDYdT9tgARkShJCsHPR4dfpr4HxOyaDaAP8thADH0zbA6cxySwAnwQcazDXH10OnvwZ6m0O19fPluQrEBDhMFhUOOCgckgAFV6h0+ALwxuI5FvsKX4aCka8eHmdRTNHglx+PP1UlWVQ0wZIgD6XrEwJYbl3r8NlXReHz4nWDKjjs1Bh4n/+sId7WzmJ3v+BQgyo4rt59h+XYc8jR4u3PNdPhC2htGkEfhRKNhlcOOl5fNNcCPqjKqSm+Hj7bGqsBDg5MmuPr4doDEzULB90O3M5nMteKoAUVGVSZwquo4HoODFhqaDJRquA4lbFOfcctHRQacPUGruOdlXnG3Bi4Tpqng4IOzFXCc3nsielf7qMNqZbcHCbLCp/+m2UFGtihSolLeatEpYUJcFDrDipWpGXPziizKFkQ/uCx5RYY/K2m+HpRvfHYgC3GycExdAcHcHwLww9/+ENwuVxw/vx5bfr58+fB5XLBv//7v8PVq1dtM4FXV1eraffee6+YCXzXrl3/15nAR4ZMVMoNtKJgXg1qUaEWFrSjUGsKf485OdDGgmAElR3UykItLdRygtPRloIjWlsQdGAFlcmR82CSp1BN83pWwdPp6/vtB+2hlp55XlbRFKhyewp96OcVPqi1wvTgzx9gTMoNU48MnWZaPw0+DiZVqSCCB9B0m03qErsHJB70ScGfqacIH7RN0nYKOHhVGtobLsn+pUSjFHBIveIXZhZrKh9uUaFQjCdwlHIcBKukQgPI90qzVa8xV3BID7z0IRn/y5ZBAI6hdG36aUyxGCzb2VZMwEIKDnnvPg8Q6fp4W7eDdRKY47BAUnFgmzUlxtUAx5V0BWvpNQ3nk1Qc2D759Y3aVEwWFUyQ2vOzUZqCw1Qm1u648c9on3upcImt7YHaN0zHFI/RCwXLg1pUKNyg83T4AnA4uVIDHHZKDJpHoDm+Hjp8AejrCIUuf42tRYUDjmCgQwIQuL8frM0UA9JW9r9gINvhC8CNfeEKUEtgj4KfVm8dvF+WJQIRExy5dn+U9j8PxqIylK5PaKGT7tsHkqrg83umWO7LdmD/fE6JZiXh6o12dn3BakF2AMX03EA7JjjAfW3hPAsokyxUNEcNV0xIeTSkXBcURFBgIM3bFN+f/LOZ/RbP0/HB2kyjFQan4W9xBQhOa0uoVfuJCg4a+DfH18OJ6RUW8EEhw8tzF4n2D1QicNsJVy+8WLBMVELgfPg/S3DlraWzNTUJz61x/ZExFpghqUQ4/GiMa4Cen42ygBFc7kxWmVEZwvNk0N97LKa/3Cu3rSDI+GBtpqbSoCCjxVtnyctBAceBpCr1+VGm5Hh90Vx4dKCyyo5JjoJjqA0O4PgWhv/6r/8Cl8sF69ev16avW7cOQkJC4I9//CMAACxevBiioqLgiy++UPN0dnaCy+WCM2fOqGkvvvgiuFx6Lfeenh6Ii4uDnJycv2sbKeAYHZ6ocm6EhtyuJRR1h0arz6Eht8PYiAyl4MDXiLBYBSzQ0oLL4TSEHwg3aElYBBqo9sDyr1SpgetHBQeqP1C9getFuDElcgFM8hTCwaQqVSXDVB4WAwG7ZJHBLCqSeoPDBymQDwYwpN4eSV0h2U6otcPlGqEFzxx28PKkUk+SFFTbSV359zzA4b5kKRcI3Rcq+TdVU7HLxWHXK352RhmczymBvsMeo02FlxTmqh+U//MynDSppEkFhNtIj1Ewe4p0LIIBjqF0bULAYdp/qa2ZerFp8CXZGkyQg8MOqU2bFEhSHg4KC2hbpe0GIYedguO1hfOMeTjs2im1p1C4IVVSkXLd9B0fIwIOu+tFB/mfqPIG/0+XawR0+ALwbvFMS7BNgyqTooGrL1q9ddD3VLjWHiSwYbJ/tHr7bS4vFizTAjwOHloF4ILTr90fBZ3+Gm2bORSh72lPtd32maDMG4vnBLWM0P+jwxeArx4epx0L03mDUASTWlIAIqlE8PNHG1K1aYMBHEPp+vTwtBKLmpF2MHz54HjLfVqCHHjeXJhZLJZQN8H/v9QmGO0v9Lyze7bgCsBWbx08f+cK9Zm2NX68MUktV3CYcm9IdhLa7p9OX2+xknDl09c//Y72exxMNMXXQ8/uSBGSUBDzQsFy7bf4a1tCrZaDg8ICzMGBCTVRJcCBwfN3rtDgAg3wufKBzoPb8aeqJIuVhf4GV47Q9fxhfbpS0khqDFqxhoMKUx4OXDfm4JAAx0uFS9Rv8lwcPHcGhza0AgvPwfFiwTINwtDvmgf+e6rqoL/T6q3TAMejBHR055Sq6Q7gGHqDAzi+paG6uhpcLheUlZVBS0sLrFmzBlwuFzzwwANqnpdffhnCwsIgPT0dnnzySfjRj34E4eHhsHDhQsv61qxZo3ot2tvbIS8vD0JCQixe1cEOeJMOC7ldWVBQpREacrtSdKDVBBUaI0MmKkUHQgtUemDODqyegpaW0eGJCm7QZKJoXUEbiifMq0acF0EHWlgQdqCqA+edHDkPJnjyYXLkPIjyFMDUyEUwOXIebJ+4A87nlMCrC+ZrpT+xt1NSb3DAYaqCQaun2D3wSzJS6rPl35l6hunDCO/doZCDg44DAwoOWtXBlDfELnmgXS8s7QnkAadpOR4ESf8P7hcG/CarymBVHFLQiIloz2Wvgb52cx4OGjTyssKmPBxcwcHzbxwY2P6jqZvgow2ptgoO3makMRjgGErXpkcGAIdk75LaoBTISb3fNOAy9exLoIP3hEuqjmD2KtpeJRhHrSoIJnhbPZPVD+OuzF4q5onhuTio2ki6vuE22Ck4UC117YGJcDi5UoO5vEoUv17Ra4B0bUDAcfW7UzU1kul4YaBCQQAPvD7akArtPmtlERMkoe/bEvpzWnz10G1aAIeghQde/HOr92bpVr6MSQlCgz66b3T7OeSh+/Vc/krRVoLzcvjX4QtAz+MeiwKMQ6AWMn9fVxh0+mu088F0jrV66+DD8gzN4tPiDZ6DYyhdn3iZWK6g/OrhcZbzwvQc0OWvgdOZ5XAkpdLWnkKvLy8WLNOUU1LHB702oaWE30P4eXk6s1wEX9SK1BRfrzooqKpDspVwuwkN4un0Y6kbg6o9vnxwvAVw0GVavHXwcWWyCu6lXBxN8fVwZfZSy+/Tz7hfCDio3QVhyeVZRdo2cpjwdlG+qLCQAAJXNHCLCgbudDswsKeqDvxvXypcovaXAxD8nltbKEjhr/g92oQkW87e2C3Q4QtY9sMELajqYk9Mv/qD/hc0n8ZrC+cZYQkHHFTBsTd2iyoFy9Udj8X05/bYPaDgcJKMDr3BARzf0tDb2ws7d+6EqVOnwsiRIyEuLk7M2P2rX/0K8vLyIDw8HG677Ta46667tF4JHK5fvw733nsvTJw4EcLCwmDGjBlw9uzZv3v78CYdGhKlAAVaSlCVgSPaTXA6WllwRJgRNnKKsqK4Q6MhNOR2sQQtzbOBkAJVHQhMuIVlvCdX2VPGe3IhylOgEopO8hSqBKSYfHRq5CKI8SyHhRH92Zmxt1OqimHKoyBVT5GSi5rgBrd7UNAhKTKkXhUuKeXz84ckyf+PgIOrHnj+EF79hUvPTcoBGgTyBybaO8T3g0MP/H94jxf9L4MBDszFQWX/GNTx6hQUbmDP+Bf3TVK5WqRcHHZlOHnvOAUcNA8HBRy47UdTN0HfYY+yQA1GAcSh12AUHEPp2rQrZrVtslU7xVAwuwqV39tZACSFAFcttbNzUVIeSRWAaN4LDuRQcWRKjNudUwpfPjheU6WZqv0MxoInAQ4pZ8wn1YlwNHWTba4YDnT5/4TXAvyPXa4R0O4LwLUP1qnpHEKY8lKYwNTri+ZqAZl0vHkgT8d2XwC+3jlWVHBIwIJ+3+qtg6fT12sWFa7O4LCDT6dBI1Vt8M+4vVT9IkE6+hnb7lcP3aYpMiRLFp3/ywfHQ5e/xrh+PiKw+iYKjqF0feKAg6sRv7h3stHuye/5Xf7+0rIIOCQLK4e87xbPtFVN8fFMVpl4zeTXT5xPuv7Rdojr5RCPW1U45JBycDTGNcBz+StFWwk9T95aOttyDtLfaY6vhy/umyTm+qDvX1s4T7SXIDyg1xiaZJTmvvj1nMUa1KCwYF/czXKqHDBwCwiHCzhfX1eYxYbyGAEObQm1FlUHjljm1vT7F2YWW9QX0rZw20xjXH/J1n1kWVoVpt0X0NZLgQSHHRxWIIiQyuaeTO+3A1Hoga8U9PAcG4/FbIH9idWW/Bs4nspYpxQcTpLRoTc4gMMZxIFaVMJGTlEKDoQXoSG3w4h/GaupNfB9eOhUBTVwXqrkQMUHTTqKlVYQXuA8o8J9MMadpqahdWWCJ19VT8GcG6jawKoptMoKgg8sHev1rIIETzEUj94GX//0OxrgGIyEmz78U9k2fdinKggaxEhgQ3pg4fBCggOS2oEHVBxuULCxP7EaDiVvVpUKpKDFBG1QNSEF15LthEMOCXxIr3b7KfWIS1YVnovjaOomdQztqlNw0PHG4jkWGEZVP6Z2g4HjM5lrbVUctFQstqFDyZvhWOpGuPb7YjiSoveOmyCH9L8NFnD8ow8UcJgCaf4/cJhmsqjgAzsNMO3UG3RaMNuV1NPK4QYebwoReA4O2lZNeTi6c0qhtzt60DYqOwUHhbgc5nIgeiarDI6nbVAQjoINOxUH7Unm1woEHL8vydFUF5KSQYIFNPDC8XxOiQi5TIodDrY6fAHovRgPHb6Apa1ICgyaB6DFWweHkjeLOThweZozgI9S26RqCrqtOP25/JWW/aVQjv8P7b7+HBx2Nh4OO363KlcDHNL/iOdcq7cOPlibqVkdBgs4/tEHCjhMcKHLXwM9j3uMaox24VqB56G0jAT9u3NKYX9itfi99JuvL5prAeJc+daWUKvWyaEwb4ud/v78XtxqIuW94BYPqpbA8VTGOu1ckpQXH21Itaip6O81x/fn4OAWFg5YenZHiuCFbhcFHNzC0hR/M9eHpILYE7MF3ivNtkADruSQwAJ+vtEYrn6LKzgkwEG/P562QYMQ+D1u7zOZay35OaRt5PvWGNcAn22NFW0ve2P1KipUrUGVGVxpgb/7dPp6DZpQMHI+p0SDPAgoMGkq5jWhyg98PZ62wZKAFKuoIODYNc0BHENxcACHM4gDBRy8RGx46FSVm+MWdwqMDJmo8mqEhtwOI0MmKksKrXSCJWNxPVhadow7TS2Pn2l+DxzRioKwg4KQKE8B3BqRpWwq+D3CkbERGQp0YLlYv6cUlkXeBX2/GCX2dEpBqgQ3eAK+gzZggwdhdhJVqSeYBk4cZph6jLk1hYKXAwPBv8s1wtIzK8nQcaQ5OSR7gARhTKoO2gtI35t6w02yXAlwSCoOKruneTikcrEUbmA54efyVyoFh13wyEtwmuT/NHikx4D35vf9YpRWKlayOkmQifaKDyfA8bPYVaK6yNRrydscD8RMQSPviefL8B5u3rNNjwMHm1LuGA44KJCjCo5geTj6/vdErY1SdZpdrhhTO+VVVHA7KURE8EcowTYrAAAgAElEQVTzDkngSQroOOjE44aA48rspdDprxEDZ67okI4nDeYPJFUpWGJSbuA6aBCO33f4AtB7yae2R/pdkzqjxVun7gs8GOOwgwKTJsN3HHpI7fjK7KUaHOLAgkOLdl8Art0fpfXUUzjBAUert18lgtcdqXefL/dxZbIFMg43wCGpKfFedWNfuDonJKDBlzmUvBmey1+pwVsJbOD7k+kV2v2BqiAl0HEyvUJ87uDgFoElVwnxdrQ/sRpOTK/QrqGSksPOckLn6fTXWNQfPDfNW0tnq9+j66Rg5e2ifAu84NvyXmm2BkE43KCQFRUcHM68V5ptWR4D7n1xDfB2Ub6CDBIQ4NYSnkfjw/IMNX139FYLkHihYLkRShxJqdQUHPw3jqdtsCwjWU7o8rifvy/JUdMfY7/dllBrtKTQCioS8PjdqlyLsgNfj6RUahCD2lzw/6brQlUGqj843EBA0p1TqqY5gGPoDQ7gcAZxwJu0JzRGq47iCfNCyIhxWo4NVGm4SUlZVGLQnBm4HgQYWPaVzoPrRFUHQhAEJBRyYCUVfEUrCio8EHRgTg+chq9ezypY6tkKvS2hmt1AClQp4MAEkbzXncMAHnzxgJRXFUBoIclUTbJRHvjzQIr2GHH1xgESmFDAQaXxXFHAS99KPeaSHYX2mNPAggaINACRgIcEOSQljGRToYEjBmnYK85LcPIecRo0XsxdDR+szRQrqQxGwUHbD4ccJtk/HqO+/WFwNHWTWO3GZFHhoGM4AY7dcSstyiL8X7j0m6uIpMDWFCRLKg8eQJrUHSYFB4ccJmsVt1RRm1OwSiofbUqB8zkllvaJIy5ngnFUaSQlGpXa6InpFfCbZQWWXDF2eTg4nOXKLgQcZ7LKLAoBU0DfJEyjx48GclyFY2erwGPd4QtA31P9ASr/XoINdGz19vduH0iqMgIMfEUJPg2sTCBDao84Pp2+XrsG83OA73u7rz/nCR4PSfXEr9vdOaXqHBsMSPnb9mjt/x9ugGNndIlFqUTvx70toZZrlelagRD05bmLLNc26drfNQBEqIKDz8Mh8NPp68XzkT9v4HZywCUpOK7MXqq1ca7k4EoKhBsUXuBy1FYhgYfm+Ho4l71GgQfJ6oI2FgmsUFUJlqSllhI6H+4T5uDg29MUXw9/3RZjyW1Bg+6+E2MtYISqECgckNQdWBqVKyHwN0+mV4hgpDGuAQ4lb4bm+HrLb+N/iUlW6TIUPEjqDpz2xb2TLeoQqiqRIA6vGsOVHHtjb+bv4KVl98RsgYNJVdp/QeehsIUCDszB8cr8hZbpOP51W4wCHE4OjqE3OIDDGcSBJhn1hHkhPHQqhIwYB6Eht6tkoggk0L6Cqotb3CnKpoJKDlRx4IglX9HyQsu8IpRAewqdHxUZmHw0IixWAQ6EJeM82Wq8NSJLy8eBFpZJnkKI8SyHDPdG+Lgy2TZQpQ/+XLrNAQeFGzwHB4cBUs+K6aGC96JIwMMEAbg9hQZQB5Oq4EhKP+DAIAqDGR7Y8PwQvMec/q5JqSFJ+/mDEp8m7bck+e/wBSy5Raj0nwOcwdhUOOC4MLNYleCUSsVKOQ4kQGZnUZFKxR5OroSvd46FY6kbjW1KAmW8TQ0nwPF4fJFF7cLtO/R/CKbeMOVQkAJWfMiV1iW1W66qkpRHUjUVmouD2lQo4DDljXmxYBlcmFlsSTQqXd+kHByma50J6qKV6r3SbBVcmXJwSAoO6VrW6u3PwdGWUKtye/CASgIYkoqjaSDwx15oO+Blp+rAgP6zhngFOEwWEj4d202Hrz+pI59fyrchKYj4dL7tHLr9OeDTwLLpWoz71u4LwBf3TtaUTxz+8HU8nb5eBEd8u/D9h+UZmkKkxVsHDw0jwEGrqEgKjr7jY4xwmkMMvLe9VLjEYkWUluny16hKRwg5OFCUtgufRahClF/LcF7efnhbbPcF4IWC5erck1QZjXFmuwoHGIeTb6oO+DIIOA4nV4q/R2HKldlLjfYTXN+rC+Zr20ohReMAaOzwBZSCA5fbG7tFrfv6rtEWGEOVD3/dFqPtAwcZkq2Ffv9c/kqLbYUCiDcWzxHX2RjXnyS1Od5aRha3A3NacBUGV5RIdpXrj4zR/jP6+/ifm3JtcOBBQcXBpCqLCgO/6/AFlIKDAyI89tSGQn/v7aJ8NX3XtK0a6Hhr6Wz12VFwDL3BARzOIA7UooJqi5EhEyE05HZVTQXH8IFqKlglBcEDJhNFWwoqKdCigooQzL+BcMQdGq3sJjgN1Rs0CSkCEGpXQRCC3yHcmOQpVCVjJ0fOg3GebJgSuQD8HnMSPvrgz2XbNPi3Kw1LK3xIVUd4EMofKkxBPv+OBrG01x5/y1StAQN9l2uECmRw/0xJBjF4QQUH3Se+faZgg7/Sh1+q5OD7L6lV7FQq+MpVEbRCBQUcdqViz2WvgfM5JfD5Jw2qZ5yDMVzGTv7PbU60HZkUM4eTK+Fv26MtpWKxjUkBIx+HG+B4wltkURTQc4+DNx5M2QWmXEpt1yMv9fQHa7tcdWQCHKY8HBxwSO31Ut4qeC5/5TeCcCaLiqnijwQ4Pr9nigVwcNgkQQ6TNQ0BB4IsqlIwKW5aSZDDIUWrt07BZ5NSA2EIV0XQ9WNSTaktcfUIBxzYYy4pOEyKDn4dDdYG6T6jHUSCOBxeoELl+q7RRsDBIUdbQi1czF2tFDZcLSIt88V9kzQlwHADHDuJRYW3+/2J1dB7PlaDDyarKr1/cwWHZE/E93j94PdKSSGC2yR1kvAOFSxVy48tBYnN8f3Wrl/PWawBB6pMogoNSZnBFRavLpivgAi3ueD0o6mbtHNfAisvFiwzXue5goPCFJxvb+wWpcJCBQe3zTTH18ONJ9xqGk3IieNft8VA88D66DxcrcEBB37/flmWqO7Aaacy1hktJe0DcIYrN6jCA+fF77kaQ7KwNMY1QF97qAYy6LIt3jrLdvL9o+CCgojTmeWWxKMIM/YnVkPTAMTg60EgRZOL0iSjx9M2iAlGH4u5qe5wcnAMzcEBHM4gDniTdo+cqlQWCDsiwmKVJQWhAubpQLvJ6PBECBkxXqk4EFYg2EDLiSfMqyUaHeNOU5VRRoX7NEvKeE+uqqyC82ASUbSmYLJRTDh6a0SWgiOTPIVq/lsjsmCcJxsmR86DIymVtv50+uDPA1OTsoHL5elDfhcLurh83vQgyR9k7XrT8IGEB1M0kKISeAQcVNEg9eLSBKo0uKZqEwoo+EMEf1jABxO7nj4pWJQeBGkPMYU5PBki7jP2ivPymzQPBwaLFHD8bXu0BjikPBy0OgWX/0uAg/aMS+WGDydXwhuL58CJ6TcBB5f+d9q0MTwewymAaPSusKhf6H8j2aZ4QMl7ArkkmffsUYk17W3nwTXvDcdAgffS2ik4EGxhe8X2wiupmADHhZnF8F5ptgg4zs64aVGxK2cswQ0ThDuYVAXHUjfCVw/dZqnAZBeM0XOaS9/bEmoV4MB10uNIrzHcBkKDfw5b0SIiKXD4uvn1CI/r1e9OFRUc0meuCmpLqIVTGeuM10gON+wAClUTNZH9p7D483umiPYR3lZxOganFHDYKT/aEmrhWOpGdXzaEmq1bZT+51cXzLdMe/CONcPm+vQTYlGRlFvvlWZrFhU+L1676TX98qwiY94N/vlgUpVl/Rz4UuhxLnuNpZOFwhEKvzp8AfGYNrM2TgGHpJJDVYWk4uAKjiMplWp+bl9B+xYCUAma4DK/XXGntp7GOCtUuTCzWCkcuPWEQkpUcFBIgdvyxZe7oHUgoN9H1AX4G5/fM0VUbnBwwJONYgD/dlG+uAx+/2m917IO/IzHk9tLcJ4jKZXiuiXFCNpAlPXmUIT6zJdtGfhNXgoW50XbiFQu9sCAgoODD2p94dYVBByt3jqL7QUhxsn0CosyBMdXF8x3qqgM4cEBHM4gDniTjhhIHIo5N9CugmVfw0OnalaVcJI0FL9DeIHlZBFehIwYD7dGZKn1IjxBFQjm0KB5ORBWIMigpV9vjciCCZ588IR51XQKMzAPx+jwRFWFJcpTALujt1qS8HF7ypmsMvXgzyXbNCDFAEWSykuyU95jSR8GmtkDAIUC/KFYehimD7hUiorBP27zsdSNFsBBgxzqw6cQh6o2aADBHxzsaD3eXJvY9kuy6Vb2auoNx+CF5zWQysXSRKMY4PHymxxw9P1yHFzMXa3ZVOxUQBRu0ES1Ui4XSQ2E2/zrOYsV4ODJG009gLw3fDgpOBq9K7RzkbdN2laa2QOvJAHmPTvcy8tBBw9geUDHgzuTLNwEOezURlJSXGx3CDAu5q6GG43hWqJRu2o/tFKUBHNNOTgo4Diaugn6fjnOkoNIsudxpZHJeoc5OKgFSwqsJBDMg306H8rsKTwwKTo4PGlLqIX3SrNFBUeLt05U/VAg1u4LwN+2R4vQgl/TeeBoN0rb3+qtg1/PWawFqZICA/87/N//ui1GU2SYQDq+Pp2+Hg4SCxEPgHlPPy3Vi/MMtxwcEkhAWPH1zrFGwCHZ2Q4mVcGH5RmaYo/fB3HZLnIPDJZ7A19R7UHPS3o+YlCP65DUQBS6tfsC8KeqJBHwUYhhGjn0aEuotXSQ8PUdTKpS4IE/L+Hr2Rll6nzheToQQLy5pFDcJrxn0GsNWlQoLGjx1kFvc6hFoUHVEm8X5attMCklJAiAoAQTgVLbCLWTfFyZrAX9FDggoMLf4HD/aOomy3MbBxxcmYLL/mF9uvbcR7cJAYcJlpjKxT4Wc1P9we0se2JurpcrOHAdzfH1ltwd+FuXZxUZy8S+PHeRUnB8b/LaIX9t+mcbHMDhDOJAc3Cg8iI05HZlIUHoMTJkorKuoHoDR6yiEh46VSk+MB8Hlo69xZ0CoSG3a7YWVGygEgShBsISqs4Y58mGsREZmgUGrSkINCZ5CmFy5DyVuyPKUwCTPIUQ5SmAKE8BLPVsta2EYVdBBR/2ee4Nmp+CBzPSQwTeLJH0U58gJcvcR8hvBFSKSB8AMMCigQImIuM5OGgvMbfjIMTBQAMfaOgDAN2uRwfo965p/eMj0+6CR6bdpT7vmrZVuxHhQwh/6JceqLnknz7ASZYcHE05OAaTh6M7pxRuPOGGCzOLtcS0HGwMNnmj1JZ4FRsMdnF9Uv4TqX1xgNbuCwwrBccT3iJLHhwMpqkdpZk8KNPeH8yWju3zp1Pv0troI9PuUtN4O6XnmKmHncM5SbXFrVVSklGegwMBJFdwcMDRnVMK1x6YaFvtxy4hLrepccWaZFM5mroJ+p6ZBIeTKy3XQamSCu8x5sC31XszB0eXv0Yly6RQqZUFVtIx4QoO7J02wQ16bZPASVtCLby5pFAlCpVASNMALKC9vvT3rz0w0TK/BDn4vlDFG1e/maDP4eRKcZ9M8KLd119FBQGHpODgyxxL3agBDtNv4XenM8st8w03wCHdm/Bc6G0KU/dSSb0hAY73y7JsqxHR+fHeR616XPVIp53KWCeqSum9ll6zJKUlPZZtCbXwbvFM0YpC4QW1dnDVBv3cllBrzNmBQJECDglQNMfXwzOZa6EtoVZUgWBgTsuk8g4bXOZAUpUCHBwQNMX3W1ToOvlIE3mabCiPCc93uF0HkvTEmhSSNMY1wLvFMzUFIldw0M4oDhqOpW4UOwL4Z6pKwenvl2VZVCMSiOAwg49cxcH/K/odhR9c4YFthis7cPxTVZKlugp2dFzKW6U+75jkKDiG2uAADmcQB7xJh4ZEqYSho8MT1Xu0o6D6ApUWqNDAhJ+YfyNkxHil/ECYgcviSMu/YrUVXAeCD1w3vtKEo54wr2ZXQVAywZMPY9xpSuGB+TgmeQphauQiSIkot/Rs4oM/l21LASl9wJdyI9gFnfgwiDf5x2K2wE+n9gdWO9krjhQS7Bz4/Ci5MPNyW3gDp5AAtwuVDS7XCEsiQxqQY3CDygF8WOY3wd0kaMTt3DmwDz+esg0evmOb9vnHU7ap/cMET3hDkiTmdPu5VYU/3Jmk/7T0plRJRUrciAqOc9lr4KuHbrNYVM5lrxEDR0n+z3vHJZsKzxlyOLkSzmT12w5oIG9XQQUfamlbG04Kjn9NWK7gG80Ng3CDgg1smxS24fn08B3b1PijKf0jn/bjKdvU/I8yIIcPzk0s+JR6u6VgQQJyVHFEgRy2Vwo4aOUfbH/YJnufDBUtKlI7NUE42j55Dg6arBgBx5fvLFPljHlpbCkPEVcZ0fcIONp9/TkCLswstgTq+LAuAQYKJfjI1Qm8N1palh7Pc9lrlCXDZB+h20K3p8MXgK93jtUsKhTa0FeuBqFwg/+WKdg8lrpRBBx8fmpD6OsIVeV0JXsKH/HewNV30murtw6Op22wbNNwArBUwcGvzfsTq+HGvnA4lLzZCCva2XV8f2I1/HbFnSLgkFSieH+n06RtwWmvLZyndbxISg68z2J7Mime8Lx8t3im1nYRPjSz9s1zWEgQo8MALqjNFZMQU/srXQbP205/jfj7uNzZGWWimgTft3rr4Ln8lRrg4NDmq4fHWZQfFOi8VLjEErRLuTi4HYPaMniHEg3yz+eUaOukwAafn7hFB7fxjcVzRPsM3zYJrLyzMk9bF4UjuO8msEGBDYcRTfH1GtSgz7loBaLPv3TbmuPrxRwce2L6lS5UuUkVHGdnlKlna8eiMvQGB3A4gzjgTXp0uF8pL1ClgXaVcFIBBe0nCCIwkag7NBpGhky0gA1MKorrRsUFTzxKYQbaTmhZWaruQDUH5uK4NSJLAY4oT4ECHWhPwRwcCZ5iFdBzSwbtsZSsJ9RDTh/WqGySyxNxlMpW0SDrR1O2wQ8nb4cHJ2+HH0+5GWj9mAVhFBggAKGKCdrzjP5QfGDBXmMEHKcy1sH5nBK4mLsaLuWtgsuziuDCzGI4mV6hemVR8o/kf3e0rtCg8OLHU7bBg5O3q/2h73H/aFCJsIYGjiibpkEiDxalHjI72T+FHDRgpL3iGABSaf+57DXw2sJ5tlVU7JKMSuoNDFy5ioNWBzmS0g84LuauVioak0WF99DRoHE4BRBtSYugO6cUTmeWawE1tk96jiEMRGBIwQVtjw9O3q7OORx/SKb9iAA59AvTh1vaU88tK7zN0sCDtlXeXnmpWCkprqmSym9X3GksExvMpmKyqJgUHIeSN8PR1E3w+ScNWrUfKcmyyaIiqTkQcHT5a+BMVpkWkAcL+ml+CmqRaPX2+/W5MoN+z8EBH18oWK4lPZVgBocVuK52XwD69odpgENaXrKlSGoh/l9w1cXbRfmaqolDDhqsooIDg2mT5aSFfT6YVGWxLJpgCio+OPwYTgoOnoOD3qP2J1bDnwM+EXBI+TcQinxcmWzJo8HvffgZryccgnAlB67nSEqlCBj5PbfD129nCdYeOnwB+M2yAtU2EQzYQQ38jj4rUcBBn6moAgHnOzDQBiU4gdtwOrNcXRv48jheylulLcuDeLS6YA6OZrIfeE/AKircmoKf/7A+XQMa3KLCbSEYwFMbDFdW0N86nrZBfPZEOMKVjfg7TfH18Os5iy3bLqlQ6DHCz5/We7XnXqrUkH7PpNrgoKM5vt4yL64H25XJBk2fVfEVl39nZZ42jQKOS3mr1HsHcAy9wQEcziAOtIpKRFisljAUoQSqNEaHJ6qKKre4U1TCUbSj4PeYRwOhR/hA5RWEIZ4wL0zyFCr4gQoMhB4ILzBRKObSiAiLVbk2qHpjkqdQKxOL82C5WAQiUyIXaBe1XdP6iS3CAqo+ePiObSrw+cHtNwOgH03ZBj+4vf/9PVHb4fuTtsN9t/e/3zFxB9wTtR3ujtoB2yfugLujdsCOiTvg+5O2w3by3d1RO+CuCf3zbJ+4AxrG74CtE/rHHRP7x+0T+z/TZb4/6ebv4TYgFEGFBEIPvIgj1Ubpt8s1Ao6nbYBLeavgnZV58El1IvxhfTp8Wu+Ft4vy4WLuavUA1BjXoGAGBS0S0Ljv9pv/1Q8HXnG8j73+cGCbd069CTn4Q74pWJQe9HiPuFR6EwFHsMSNNA/He6XZ8Fz+SotFRVIAoQroVMa6oFVUJFUQLeV7JqsMrsxeqilpaJUeHjjy3rjhpuB4dkEy/L4kB14oWA4n0ysUfEObF0INrhh6kAEM3ibpyKfj+Y7tlEIOfIjGB3ou4eZWFRrUcMDBk+KiuooDDpqHQ1IcvVs8U8zBIVmppCoqNE+MqYoK3c7jaRug7+ehyq7ASxpTubwknedADgFHW0It7E+shsuzioyAIxgA4CoHrLjAg3cONCSQ0Oqtgyuzl8Kh5M1aAMdtJrgctTOhdeWv22LUgzkHIbi8aX0cfPD942qOT6oTle+et0tJbdTuC8CLBcu0IJfPxz/b5UiRFDD4/9NtH46AgyoN8Vzv9NfA+2VZSnFmUuFx1cefAz5j1Sy6DknBEWy8mLtaVG7Q+yzuy6sL5hvVQth+230BeGvpbG2aBB64OkJScVDAQW0q9Nxqiq9XQIfCDz6enVGmbYtkUzmXvcaiEKEBf6u3Dk5Mr1CAg1o9lEWlMVxbjuaraIxrgI82pVgUDTw4l6we+P5Q8mbNKkJVC41x/Xk0uD0F10k7AXjOi31xDXAyvcKiLuHvJXVIY9zN8rd8fgp4JFBB1RcIRqhKo8Vbp83P1Sz4//P8WXj8qIKDgpO3i/K13+dVVFAZ/T0HcAy5wQEcziAOeJMOGXErjA5P1MrDYl4NhB0hI8ZDyIhxahqqK2jiUVRwUMsJrcCCiUexigoCjvGeXAVNcMRlJnjylZ0FVSRU1YFAY3R4ooId4zzZajnMxzElcgEUuuug0F0H8yIa1PtZ7loocNdBwcDnAncd5LqrYZa7FnLcVZDvDkCOuwoK3HUww70Zct3VkO8OqHGWuxZy3dXaOMtdCxnujWpdqRHroWDgt3LcVTDLXQv57oDalgJ3HSyI2KI+L4zYAgsitsDCiC2wLPIuWBZ5F6wctQ1WDLwvHr0Nysdsh+LR26DiOzug4js7oHLsDqgZtwNqb+uHJghZfjh5u4IJLtcI6PLXwEuFS+Dq3XfAjV8lwv/5/w5B3zOT4NN6L1yeVQQdvgDsmrYVfjwAc3ggeN/t/dDlB7ffBC73sfc4z/cn3QRBdEQ4g9tFg0bpIZnLZ3mPOK8aQxURtGecV1GxAxzP37kCzueUDApwmKpT8NwmUiUVCmSOpW6EFwuWwe9W5WqlYoPl36APqcNNAv7KvyfA9V2j4e2ifFVyE9snQkdUX2AbpTCQtrt7om62x7ujdqjP0ojQAxVT+BBFIQfPuWACc5LyiObyQaUEtagcS92o2pLUVmmb/erhcYPKwYHtlCo4TNV+eI4YCg27c0rh2vv9FVpoMlyu4JAk8jwnEQUc7b4AHBjIQUBzFnEIQUEAVW/w49DuC4iwhIMNHszj77R66+BS3ioF1SQAIakv6PJX775D22Y+SjCDK4So4kQCHrjdV2YvtVVW0H3F9vny3EUaFDGBDoQgCLLo9UYCHbh9h5I3WywqwwlwPDytRGvb/Fx/dcF8Szlrk80Qz58PyzNsgQVXhaGigZ9nCALodQgtQ1Q5QuE4BbRnssosqh9+Lu5PrIbPGuI1wMFVEybLCa6DztPprzHaV3A+zL9EzyNuITyZXmH5nqtCunNKNdhCrSVodfn/2Xvz4KrKbP871WCmE1CRZmrGDCcnIySBhBCJYZB5MhMxAyHJyQBC6/XV293a19bXKy2XJpdcbmJSoVOhoeDSUHDxaknDBV5oLbXUcvhpW223Q6nt1GqjtgjkVq33j2Q9fPfa69kn9lt12+Q9u+qpc86ezh6e/exnfZ7vWuu5ouUuwIHQBNOlSpVGa2ILvVWS5zL4JWyQEADdOPakNKgQhMuB9FoXwMDjZwUIxg7h/RzOrHGBEc0VRqpOGHBIpbJUcGjgBF1eZBpYDDIqM6XsGLgWbUnNZj+o0ODjkuCD13lteZHDtXoHLH99ZWE4BscQnsKAIzypEyo4WGUxKjpAUddMoZEjxhllBys1oiOnGcDA7ivXjJxg4mgwxGBXF1yfQQe7sHAGlTGx2SY7Csf4YFDC8Tiujckwag7+b4y/wSCDXVIm+gppnC+fpsTdbLKwTPIV0ZS4m43ag4OSchDSyXGLaFrcUpoet8LMuyF2Nk2PW0HT4pbStLillOhbQ9PjVpDft46SfcWU6FtD430FND1uBaXFlpPft44mxy2iSb4iyoitoBRfKaXFllOyr5j8vnWUEVtBmbGV5Peto1mx1ZQZW0lpseWUF1NHc2I20uyYWgNR8mPqaVFsC+XH1FNRTJOBLAxCVvg20wrfZlo3aov5LB69hdZfu5XWX7uVKq/fSrVj+sHH1gk/pHunbKGIiBG0J6WBnilcSRdun0Z9v5lKl17Io75fj6ZPggE6N28ddQWC9E9TttAdE68qS7YOKEsYWrCqhI1EVJnwb5x/x8Qf0t0/2GoULf/XpK3GdcArHocEHHIEGEfDZQwOCTgw0GioIKMnc8sc6g1N/o/qDZuCQ8Y38ErBeSC9f/T++QXL6P3KLJOtwJYi1hbItjO5kX42Y/goOJ757a10uTWa/rB2Hh2ZWU074jfRP/5gq1E5bR7vVERx+aGl4DK5Ha7HIIRVUuhShX7WODqoGdAamMN4HAw7ZDYVVB0dnVXlgBOo5Dgxp5zeWFOgxt2QCiOZ5ccrRSzGiNknnquTuWV0+X9+SafzSmh/+karW4p0RZGqDTSmIiJGmJHv15YXuUaNuX2Qxr6mwsBrf75grWNdDQxogITnvXTzYpNqFlUc0h1F/ubtPwkGXOBD1hebm4rcn+07l3Pz1rlcTbTAodiuPle03KXIkOshyMD4TBrgkNsyHEI4M9wAh6zfUgWB10tbV77T3qvItiosUCnCzxtmRrEp+/j70VlVjucSn0OsK53J/SmOtecL4dyB9Fr68q7JZr4GNGRsCLKtqG8AACAASURBVHTxkOoDVo9qMSV4v92BoEsp0io+2XVDuqagO8aTN65xGeNYdic1m3UiIkao4KavN8oBRjBY5q7EFvrjunyXC4mmkpAGOoOK7oHrIVUNXGSqV1zO97JVXB8uGuBAt5Tt8e75fFxf3DmFdic1O84Jg33iOeNxsxpSQh3+r3Z/kyO+BsKW3tR6B6CR7i67Elsc224DAPLykkWu+Bxc3irJM+uGAcfQm8KAIzypkwQcI0eMI1+U36HeYGUGxtfgjCkclJSzpzCgYEjBaVtjImdQbFSCcS3BeBvsniLjb8g4Gww4GIiwcoPTwMZEzjDqDwYmk3xFND1uhQEfPG9a3FKaHLeIpsetoMlxi2icL58mxy0ycCLRt8YAkGlxSynet8oAjilxN1Oibw2l+EppetwK8z0ttpxSfKWU4islv28dZcZWUmZsJc2OqaVkXzFlxFZQvG8VpcWW06zYapoVW01zYjZSdkwNzYnZaFQfDDsKYoI0O6bWqD0KY5poQUyzUXks822mRbEttMK32ag7Kq7bSmXXbqWK67ZSzZgfUs2AqmPrhH7FRUTECOrwN9ETs8vp9ZWF9MGGDHp12QJ6p3w2vbh4CR3LqqLWxBb68eStBmgwnEAVB46Ko5KDIQeqOBB23Dmxf/694FKDnQEb4LCNiPcIYxEhB46KY5BRBByYJhYNxJO5ZfSXrTPUGBwIORBwyEwqoVxUZFwDPubHc9bT+YK1xkVFk/7jaKDWaR5OLir/z7oEeq8im56av5r2ptXRthmb6Z6B+rl5/NX69Y8/uKq+kLANoRy7k2H9lr+5XrOCg2PcyE66NpouR8jRz15zq5IuKqzg4PpjUxyhguO9imxXCmysozbQIYMqYz3F+BsScBzLqqJvXpxnXIakC5U26qwZgCxxZ8DRFQjSsawq49ZhUwWwcYUuIZrh35ncSGfmFqsqA012r7U/zxUtN4BDGnfSJUV+dvib6M3iuY5983ZsoHnF4ZDQV3OjwfN5fsEyqwJDzuP78OxNKxyKGjlaj+4rCDhsKhG5j30CDg03BQe7qGjKjJ6UBnpl6UJPBYcEn72p9fSnqlkuiG1TcXAqeA18y+Pi50u61GjApTvQn3EF770G1fal1dGXd09y1E+u37K9tCk5uGgxOKRrye4BBUeHv8mxTKo4js6qchwDK0UQljx70wqX4Y/9EYaGrODQlCB9v4p2uKBIkPJWSZ5j3+hewkBAqicQCPSkNKguI7yPA+m1qrKDFRwMITQIcmRmtYFNGsSQ2+A5fnnXZEc8DFRjtCn/iaBDAgo8991JzY7rhACDAYd0P0GoJGNv8Hov3bzY5Z6yDQAHu3aHXVSG3hQGHOFJnRBwcIwMTu+Kqg2EFxxHg1UZHJ+D17k2JsMADAYXvA4rPdBlhQOaIhBBsDEqOmDABMfj4Pgc18ZkGKXFJF+RydAyJe5mGufLNy4urMiY6Cuk6XErjCqDFRwMOabE3UzT4pbSOF8++X3raFrcUuPeEu9bRcm+Ypoet4KSfcWU7CumSb4i8vvWUVpsOSX61ph10mLLKSO2wnzOiq2mtNhyAz0YamTEVlB2TA1lxFbQnJiNlBdTR7Niq43rCys3+PeCmGZaAq4sq+NuM24rq+Nuo5LR/XCDC0OOzeP7jTaWWe5Lq6NHs2+lJ2aX0+HMGjqeVUmHM2uoKxCkB6bdZqT9PxwAIxjvg+MTcGwSDCTK6979g60OtwEGI7wPzFKBHQ4pF2cjBdUb2MELFbRRBhmVgRsRcMi4Bm+sKVAVHBrgsKWJRcMRA4wi5JBxGI7OqqLHcipMthDNNYVHXG0xDYaTi8q/p6ygx3PWGynuPw3EfGEXLKxfP57sjgGDRXOXYhCHbin3gAsVd3xQdqy5JmgGpW3EleusFoNDBhll9Yasr5hJ5cu7JzlcrEK5qGiZVGQd1YKLYgrmvscnmUC4GCtGc6eSRh1COX7GOQbHvrQ6evLGNWaZZtRrhr8NUGD8DA2WoIGuuZg8eeMakyZWAxma+wkew8tLFllHvyUk0+qV5s6iAbX2AfiAMEPCB77WqOD43YqbHC4qNiUGL2PgqgEo7T/3p280kISPezi1TxhkVHNJe2NNgXGpsMEKuc2fqmapMTi0/+lJaaDHciqswadl/BstBgcXvs+8vQz2i/cVXVQ+CQZcz6p095DKDgQf+Ls7EHQoAGT9ZxeVDgCECCh43hOzyx3PmPyftqRmeqZwpdk3Kkr4s93fn4WJFRxSUbI7qd9FBdUK6I7SmthCH9WlOYx8XKapGKTSY29anerewgDgQHqtI5MIqkH4mUOIgnEyjs6qch2PPE75e0d8P8C4cMdURwwOCVc0lxd5rjKWBsfgsC3bMwB7pHoDoZFUafB6Ly9ZZOLubROQ43crbjJx+cIKjqE3hQFHeFInfklHDQANVmtgthR0LUEXEl7OYIKDjN4QO9sAEFR+YCwOdFvh2Bv8n5g+FkEHu7BIZQfH2+AyOW6RI7Usu6PE+1YZNxVWa/A8hh2s0Ij3rSK/b51RbjD4iPetMqoNdlGZHreC4n2rHPNSfKWU6FtDmbGVRtGRFlvuAB6s4GBXlVmx1ZQdU+NQbXA8j8IBoLEgptmoN5bEbqJlvs20zLeZikdvoZLRV91SGsZeldnfOwAUdsRvMgoOCQS4E8S0n2MccFBRmdlFCzSKv2WQR0wTyy8XfhFKQ8E20qhJ/KWCwxZklEemMcioTBUrXVS+efA6OjO32FPB8XjOekeGCw1wYKYebXScC8cPYcBhU29oHV0pNx5OCo4H44uNxJtlsw9Mu00NACyLzJCCBZVHuJ97Jm81mX64nmInbzDGpoQbWtYfDIrLcEMDHLKuSsXRydwyuvRwnKt+IgSxpTL2gnB8TBrg2J++kb76yQRH/A0Zg8M2mizVAny9EHA8V7Tc5e/vFe/CBi46/P1BMW2qjVDuH53JjfTi4iV0IL3WClekm4oEJJ9tTnAt0yCGnO9VzzQww6PpoSCFdFH5YEOGSYOrKTjkPIauOF97BnjZocwNDuDSMcwAx/0zrrqoSJC5Z8DdZC+8Y72UGRw34/Mt8S53RAkreFlPSgPtT9/omCcDnuKxsTuLfHcg5ODtj2dVetYLVvhwMFKst1K1obmtoOKBCweS1IAEPw8ctFUCDoQhHGRUxvJA0PJ04SqHu4x2zAxceHBIustc3hXtUoEgDP8kGHCBAM3wt8XAOJ1XYt570qVlZ0J/HA1NnSEVHOhayWqHE3PKXS5CmhoEAQiv/9VPJrjOS95TG9iQBc+djxfXZ1DRk9LgAC8IP6SLjww0yi4q0j3l4Rmb6bmi5eE0sUN4CgOO8KRO/JKOHDmRfFF+E3MD079i7A2O0cGQg+ezWwoGH70uZiZFR04zAUHH+nLN8pEjxpnYGgxBYqMSDCjh+BsYg2N0dKpJM8sQhMEHZ1PhdLHjfQU01pdrgMYkX5FxZeF5DCXY9WRa3FJK9hWb+dPjVlBGbIUBGAwqWL3BIAPdUzJjKw20yI6pcbicYMDSG2MaaVFsiwEZHFh0hW8zrYy7jZb5NtPqgWCiDC4wkGjNmP5goo3fd8YL4NgW9029qpLYDi88NiIwqBh3anAUkn0lH5p+NcsMpt7ktLWYdYZhCGay4Ow0nBYWSTt3EkJJnGXnkQumpURjUSo4MGijzKLCI+IIN07MKadTeaX0QXUmnc4rsQIOGePANjpuS8EpR8e5nMorpcdz1pv4GxiDwzaSJ0fghpMB8dNppQ458s6ETaYz8sBAXeM6x3ANwZxXelgEGgjhZKR3qTKywQ3pw47uKag6wqw/tpTGWF+93FNO5ZXSVz+aaFUZhVJwoBuVBjmkmwof65cfbDQppSWIY8NLKjZkHAJ+zhFw9KQ00OHMGpciQwIBlKMjbEBIwYDDBjUkGOFtUO3w58ZkOphRazISyPVRjYFtKO/r9ZWFLnWIHJGW86W7nqxrNqBwIL3WGvhTc1PpCgTp8y3x1Jta71qmtckScGiwRc4/OqvKNW+4uahgG4xAoSelga6cC9CB9FpPdxNsI3pT6+nLuyZ7BpWW/+Gl9pDvzyMzqx3zpRIQFZOP56x3tGfyPrYl9WcKYrWEButknCKp3JCqjg6/27VFQo7e1Hpq9zc5lkulx4k55S5YItc/m3+LQy2CEIDXkQoO6Y7yxZ1TXKoNhAYIONBVBd0obJBjZ8Imerpwlerewft7NPtWh4GP6zDctcGXFxcvcZy/dEvB/8FlbUnN9FlLkqpGYYWHVI3YXHDkubGCA7Ou8LLO5EbHPnA7PkaEGziY9sLCpS7XFP5+vmBtOE3sEJ7CgCM8qRMqODhzCruoREdOo5EjxhllBbuncCYUTg/LIANdT1itwcFEGXpw5hSGGqzY4LgZDEYYVNwQO9vsjwOSYnBRhhgMQsbEZtNEX6Fr+4m+QpoWt5RuiJ1NRQOBOln9sGwAKrCrx7qBeBYcxHPtqC0mi0nx6C20blQ/dFg9sG7x6C1Udm1/7IvK650uIushHkbl9f2fDCrqx14tDQOfnAGlZdzVAIi3jXcGQORR5x+LkWuGGizDw5cIdw5YwYEGBnZgUF66A14wbFA+NP0q9LhfAR78/cHpV6EGv6DwOKTfvBz9xs6Xpt7g1HgYqDGUe8pgDEYGGafySk1mCi8XlcFI/9F4lEajFoPjhYVL6cScckeAUSn9lzLkbtE5HU4KjnunlZq6gtJXTPfM6YyxTvKnpkRCEMLPDSs25IgQdohto+loAGixYjSXKg3IaWlipXpDZv05lVdKnzb7HfUUY3Ag5MB6yvVTy/aDihItVezhzBrqe2IyHcyoddVRCeRwVBmDisrnnQHH3rQ6OpxZ41AmMLgIpd7ANoz3zcaQBjBsEAWP68u7+11xUK1gc1ORwKUrEHS4qOB2XvE18LzblH1r59Lhb6Kn5q92uJvI0ffdAwYplleWLjQKKQ1QyP08mn2rmiYW/wPBCKsAcJ3hBjgQEqB6oielgT6uTzXZTCSs0H73ptbTX+8ZFzIbEYJELwAuQfgTs8vNO0RT/yEQ6RkwkDWYhSqnM3OL1fotwYI2X7qxsDJDAxL8ya5YmoKDVSBP3rjGwAkJVrgvwmliW8V8jNtxKHOD6TsxyEQ136fNfsd+JRR4unCVChBsBr5cdiqv1OWWgeueL1ir7rc18WowVry+uPyp+asdgMOm4NCAx7vrc4xKQ27L/ynBByovbMCjw9/k+C9UYbQPLEN1Brr2YHwOea1+v3q+A3pogCOs4BiaUxhwhCd14pd07IB7CqszRo4YR9GR0yg6chpFXTPFlQ6W14kc+QMTY4PjbURHTnOkdWWgwXCEA4hiwFGOzYHbjfXlOlxbUBXCgUY5ZgeniGXXFI6/wXE1OIhovG8VrRwIxll1/Q+NMgLhA6Zd3XiDuzSMvVo23tAPJTaPd6ZovW18/+fm8Vd/8zwtm8MdE/t/YxpLlM7L2AD/BAbaAwOjzggUpF8iv6wZcMhOCxsT2PlAaaL0eeT/4vgE0rdRSg+xc4Gdc1lkNHeboSgDi3ImCi5a2s1QGVQQYJzOK6GL949xuKgMJk0sZlHRFBwyRSyO3vP3p+avpqOzqlyAoyfFLfuXSpzhCDjumVrm6BjjaBCO1DDkYPjGzwUCOHxWHpzuhIESbGCHWTOsvequNCwk4JCKo8GojWwZf87m30JXHok09ZTnaxAO3VQk4NDqqJZF5UB6LR3PqqRL/+IzCo4eD7ChGVnSmGLA0QUGG7ZJUp0RynUDjS82xqURLgGHhA18X98pn20UC6HcSFDlw4CDU7dq28lRbhvs0M5TnkNnciN9EgwYwCHBg2xb+do/V7RcdRvSXBM6kxvpcGaNCkQk4ODyZvFcl/plOCnM7h9QcGhKwz0pDfRps9+RrlW6nEgVR29qPZ3Nv8X1HCHcxu34HWhThcj2iNfVglNr710NemEd7QoE6Z3y2aoKCaGGVEpI5QYXBBxaDA9WcLCqD+Nh4DPFGYXkvvAYUMHAzy+qAXYnXQ16ygoOjDPR4W+i9yqyVcDB75EPqjM9XUCkwgEBAAMOdPeQMOHFxUsc70V8fzGgwmuM6zyafavDZUUep1wfv3++Jd7hloLn1QH/KUGDBnKwb7k7ye2iwt87kxsd10q6ubQlNTtcUNC95d31OQ73FVx+Nv8W8z0cZHToTWHAEZ7UiV/S0ddMMS4mCCKuGTmBIkHdwXCDwQavx5CC428w1ODMKbwuBwzlQKSs6mCwwjCDQQcrQMbEZhs3FY7NwUFDWdkxOW6RIx3sdTEzDdzgcu9AukeUqeEIMBtIbBTJeBKaHz9mFeF5GPQQt8MAnRiMkz8xbgAXKbtHQ42PG89pO7yY8OXOgAM7u/gdi5RT705y+89K6t8q5suODO7PJmvGkVOUyspRMf5kJQd38hAYhMqgoqXbRMBxuTXa4aKiZamwuajIkXFpPPLxaUqOP6ztz04hXVQGG4ejKxAcdoBjt+gky86Y7CRpfrbYqeEOlBxtk/JpHEXXjGp8hqTRrvnks3IjVIBRrrOhMqiczC2jM3OL6YWFS10QDmNwaEojrqfSRUXWU1Ru8PeDGbX0xZ1TTOwYWU81wCGBnDS0WcHRDYYVGsxeSgd5P7iwAaipNiQkkL/52F5cvMQEPJXGnYQWcr9dgSC9uz7HGGMaFNEUIZrCQ/tv6U7zYW26yyiVblOyrX26cJXjess6Ld1UjmdVGsChQRTZpp8vWOtYdzgqOCTEQ3XFH9bOM249NjcSLPvS6uijujRX2yFdU/iTYalN2SffEUdmVrueQw0+8vHK9zM/i/zZFQjSR3VpDsCHMEK6mWgxLxBgsEEvt8EBEg76i+thH6Xd30QvLl5iDG1NQdKa2EIXH7jepRBBNcfuAZjSOgA4UL3B++vrjjSuk1o/6C9bZ1gVEppiQyoaDmVucAEGBA2YpUW6k3QHgo7zxXPbmbCJnphdbnVLQXghy67EFvr6vrFWZQoHA8V3LEIOGXcDg4G2+5tUF5TtA/uVbijSTUWDGNvj+5UuuAyVHBdun2a+hwHH0JvCgCM8qRO/pGOumWaChLKS45qRE2jkiHE0JjbbKDk4FevIEeMMkOAMKBgc9IbY2WY5KzVYgTHWl2tib1wXM5NioxLMMv7kuBoMNWR6WVZpjIoO0HhfgXFNwXgck3xFNN5XQKOiAzQ5bhFNibvZBHHUZNnYoedOA46M4MsfJcPob6gZ/lKGt21GP5RgYPFP4GIi3T04tgCOOuPIszTakMRLP+52f5MxInCkxja6Kkdu5Aiq7IwjCMFP2yikHGXEkSPpFyxdVFDVwMYVG2GagsMGOLTsKSdzy+h0Xgl9+cFGOp1X4koVa4MbXvJ/Nlyxnkm4wcff98tIOjKz2gE48Jy1Tqu8d8NphPTeaaWqgYf1TII3/C07bNIfWnamtbot/z8UlGOjQWYUkRlUJJDTMqhoaiMMMHo2/xY6X7DWGghXZvsJBTj4mZEqI/69L62ODmVuoL/eM04NMqoFGJXuZpqBxW0TG2odfh082CCHhCEczwMDJ+I63MZJcIL/0xUI0l+2zjBSb5sCwwY7OpMbHQFKJdSQ4NfmtiJddNDIxDr48pJFqrJCfu+A8/vrPeMcLicIQySI7goE6U9Vs+jIzGoVcPB3vI5f3zfWdUzDEXBocKEnpYG+/un3HdBPqjy6xPoHM2rppZsXO/oeGhzhZ23fwPNngxryvx7LqbC+8xloSMChKaBQwYEBPSVEkJAC1XESdLQl9adu1dxbEJocy+pPAcuj9hKu7E5qpgu3T3PM53YfIfnLSxaZ40DjHZ9NhiScJhZVFG1JzfR2aa4DPsjyZvFcl0IDYYCEGxIAHMrcoG67faCv92j2rSq035mwybiH4X3AvuqxrCprX9WmNuH99HVFmushz5lT22r7lvuXkKLD3+QAHrisN7XedZ0ehkG91kR3FhX+3pPS4Fgfl124Y6qZtyWcRWXITWHAEZ7UiV/S7JISOfIHJmUsx9lghcY1Iyc4Ur5GXTPFkWGFXUc49kbUNVPMb3ZdYUUH7wOXjfXlGnXHtTEZJq4Gxtzg7wxJOJPKOF++I0bHqOgATYm72Sg6JvmKaKKvkI5nVap+6VK2LUfdpVQbO/UywJfsZMiRM37BonqEJfYMP9AF5KHpmx0NM6dXlXJEKQflTrEcJdVksbIjpI36abJn7shyJwNHKkNJrLXRb4QctlFwzNYgY29oLirSPUVTcKBRyEbj5dZozwwqtgwV6KLCxiPXp1DBGw9m1FLfr0e7AIeMwWGT/nMZToDjpwOAw0smLeu99M3WOstyHm6jjbJ71V8JObDOYmwKDC46GMDB7inHsyrV+Bsnc8vouaLlxpXKK8AoAg5bjBjM9uMF4Y5nVdKXd0+iA+m15rwQxuGos62eSiDELiqHM2vULB0ImqTRr7VN7f7+tKlSnWCDrJoKpDO5kS4+cL3DzUVCCm0e7otl4ppKA2GdrMM2lYpNgcJyeanGkyoMfCd0B4L058ZkB1DCUXoJu7sCQfqsJckEJZXPpPY/ry5b4Lr+90wtGzbtkxZklJ/93tR6+vL9GlMPNUiBv3tSGuh4ViVduH2a2q/Q5vEz6BWbCZ+/41mVLuAoXRzZlYWfQ4SBsh3sDgTpVN7VQNAS4Eklh9YWozvgy0sWqYoLnHdkZrUBD9Idhv/7dytuckAXqSBpBcChDVAxKOHtMIsK9rc+rE33BOqXW6Ndyg8NRvA8Of/JG9e4FB/8P7sSW2h/+kaX2oK/70/f6HoX4rkeSK9Vj00qczXlSN8vI61uLQgitE+p4ECFR29qvRqTRCpDJODg40K3FFy3M7nRperg75xFJRxkdGhOYcARntSJX9JxUUkGUrBaIzpymiurCgcgxaCj18ZkmBSu7FbCag+GHxzDg11MOPsKAgkMRMqQhJUarPLg9SfHLTLrXhczk8b7Cmh0dCqN9xWYjCmcCnZy3CITZPR4VqWaSpENAIQcbGjYUnuiykN27G0uBCx1li9V+QKzyRflix87w9L4kwChewBwcMdKSum10VVpuGkj2bKzri3XAInWCbeN9ErAgYFFMWAj3x9Ub7CCg++rjGnAWVRQwXFu3jp6unCVS8HhFWRUAxyDjcHBhuORmdX0xYWfOFxUEKRpI3maH/VwclHhLCpc/7xGEzU1kdZB1p4hue1gAIem3NAMGRlcVAbExbp6OLPGUYcQxmmA49NmP52ZW+xyoeJP3g7rqZbKmOsoHw+6UUkYc2ZuMf1+9XxXFhWp4MAAo9qzjcYzA45jWVUOabxULdjaGg1UoCGutUESjkiQ0hUI0uVd0dQVCDr+0wYipGqN2y+p2NBcVGxqEE21IlVFfG4c70NraxHa8LzuQJC+vHuSVbmnKZXeXZ9jgIgGHeU2J+aUu4D4cAKwP5tRor7n+bnv+49RBnBofQM5jzNp4XwJDPEZ25++0QE+MBuLpuA4nVfiega19wiqnzQQyJ+9qfV0Zm6xA+K1Ku2sNLQ16LE7qZm+efA6TwCyO+lq9pPdSW6Izf/3VkmeA2xoUPuP6/Idy6QbBx43x+CQx/RRXZpLwcG/WxNb6JWlC13uKV4KX96WjfZz89aZeVL90JrYYtw2pMqjNbGFDmfWuBQqCHKOzKxW4YkcPNPWufjA9Wa5/G+O7YEqDbl/WzDQgxm1ahBSdlGRgINBBYIjVGjwPp6YXU7b4zc51M8cQ+5wZo1Z/4dhBceQm8KAIzypE7qosIIDA4pGjvyBUVsw3GD44YvyU9Q1UwzM4MLLGIiwsoNjbURHTnO4scjAo+y6wkBjdHQqjfPlm8Ci43z5Jggpz8e0seiywsqN8b4Cmh63wmHMagaAHN1kyIEZMNAoRcihxUjA79jJRzWHJlu2GVw2o0vKlaXxxfCAAYfNvUFKyiWIkB1YeQw4oilH8mQnGwEKqkz4UxvtkoFF+dpr6g0ZsPHIzGpXPAMtRezJ3DJ6pnAlPXnjGk+4gZDDK0WsTBMr3VTQ0D2cWUN9x8fRocwNjlFxLZOKBGh4/YYT4Lh3AHBoxhTWOwkmNHcTlDlrnW9tP3LUX4N0XnXWFlxUwjjpTuUFODCd8cX/c5OJFWNTcMgYHKgw0lQcmosKHjPve3/6RqvKaDDxYrS26U9Vs0yQUYQc0siXoEK7L4czaxywRMJXL0DC+7p4/xjqTG50tbuaGkMeI9cLua4EGDbQIetdqHp44Y6prjbbq/SkNNDXv19mssRoBaEIxiTxclHB4/u4PtUFx4cj4JBuIazg+Oah0dYYHDJoKLucHMyoVYOKatCDs4XIY7D1Qw5m1FoVVTif96kpe/Be702rMy4jUk2hAWUJElAt0ZbUTM8vWGbmS1jC+3l+wTJq91/NDqJB7FeXLXC0+fK4diW20GvLizyVJfiJaWJ5sGl3UjO9Uz5bVX/wfi63RrvUFejmghBAUzX8bsVNLhiCg2NdgaALPnA5OqtKVZbwPl5essgKMKRyA+HLrsQW+qguzbFvBA7yfyW8wfNDxcX2+E3UFQg6gAgCEE6Ju10pfM1R2YFqDXZRYaiBgGPPwLJwFpWhOYUBR3hSJ35Jj/jedUZ5wUoKjnfBCg4OBMrfsTCUYDARG5VggANmU2HlBoMNVmkgAEG1x7UxGQZSMMwY7yugib5CR7wO/uRAo6zcmOQrorG+XJNO9rGcCtdIp20UHuMnaIH32FBBwIFKDpuvrTZKJhUXWkexXSzX1BrYEcHRF6ng0AAHHpsWLE7+nxzJ0Ua4beeJAEbK1TX1BhpPCDlQvWELMKoFbPSKwXEqr5Su7I6kM3OLQwIOrwCjoYKMyuCi+9M30qHMDXTlkUjXyDjG4ZAdVs1oHG6AwwY2vEbDccRPUz6FGj3XjF1UI0mIaFMdyVgx0qXKlu1Hxovh+orqjFN5pdT3+CQ6lVdqdaFCFxVbjyZF/wAAIABJREFU/A0Zj0hTrKEr1Yk55XQ4s8YVJ8arjnaLa4OKHHZR6UlpoCvtkUYaL++1Bjkk3OV5ncmNLvcLrY3i7aUqgo+tb3+sC3AgWLPBjt1J/Skm96Q0qK4sXlBDAybyXBEic/l8S7z6PtEANcdZ6Pv1aEcMDq3dx319tjnBNbJva+M7/FeDPeLy4RSD477pJa56zmVvWh31dUe6sqjIfgG2F4cyN9D+9I0OqCHXQcDxxOxyl7pPgykSfEgoLt8he9Pq1DrB9ZHnP5ZTQQfSa131OhTk0NwFWxNb6J3y2Q4QItdrS2qm9yqyHe261rb3PTHZtQ6vx/t6av5qB2RBgIHPM7qoSEDz0s2LXS4uCApeWbrQABEZr0JTckhY8EF1proOqnoZOqCrSWtiC52YU24gEYIN/o0pbKXKA6GHdtx/vWecuZZSocKBUTWQg/uU2fa2x2+iP1XNcik4ePmJOeXGDQXdtbfD+WsxOHbE9weMlcHGeZ09KQ308IB7eDjI6NCbwoAjPKkTpollwBE58gcOAMHfWdEREznDuK4wjECAgbExEJQw2ODlrAyZ6Cs0YIOBCaswGF6M9eWafWAcDt6es6n4ovw01pdL0+NWGOgx3ldA0+KW0vS4FfR4znpXsEgchdcAhy045D4BOGyj7dLtQ/N5xU6n1hn1Ag3aaDLul5fzKCn+v1xf29YGOrQRRi/gohWp5MBRJPzU3FMk5EDAoWWk4ICNMp6BBjj6fj2aTuWVDso9RY6My/qjBbK1ZVE5MrOaPmtJCplBBesVdk75Og6nEVINcNgMXgk4bEX6a9tcDmyuAAgQJeSw1Vse0ZVADtUbWoBRCeOkguPCHVPVNMayjkrAIZVqsp3Tsqjw59f3jaVDmRvUeipHp+XzLNs/bJv2pDRQX5cTcMh2xnaPNCh1MKNWbZcQEkto0Aa/uwJB6uuNcq2Pho+sQ3hMJ+aUU1cgqCrvEL5pSg4NcGj1H9v4v94zTjVKNdjc4W+iPSkNdOnZLHNvsN2WIB0hilRw2N4BHf5+txn57hhOgON+UHBo7iZXTieYLCdeYIPLwYx+Vd9g3Fn2pDTQM4UrVdWUhK0MtBC24DpyoOHorCpXP0Aqn9r9TSYGiHwu5LOBcEEDF/z55I1rHBACXVr4/z+sTVdhCbbrX9w5xeUSI+NnYAYSzZUFj58VHAgz2pKaDSSR0IHXu3DHVAfc4H3IWBsyqxev/+qyBdZYFlIFg0ChLanZAI5d4rgZHJzNv8WxHYIMjGshP1sTW+irn0xwHSt/Hs6ssYISCTfQVWVnwiZ6PGe9az4ve2r+aus+EHxIFxYGIAxFEIBsj99Ee9PqDPgIKziG3hQGHOFJnfgljcACVRtR10wxoIPja2CgUFZaYDpXBBmxUQl0zcgJZn3MloLKC96es6Aw3ODvrN7g7RmCMMDgIKMce4MzqnCg0WlxSykjtoKeLlzlMlYHG4TPNqrJsnMZK8Em0ZYjKLKzL2NeaD7k2uidBCTyN4+SSrCiuYvYCnf6NZAhO+BeI4FoaGij4F4yfy2WAbp5SPcU24i4jGfAgOPM3GK6vCvaBTik6keOjIeqOzYFB7upHEivNYYpKjhkfJfByP6HE+D48UCaWM2Alcag7PR6wQ0NdmjwBOdpz5aEG9JgkUAO66zM9oNqI1QccV2T6YzPzC2ms/m3DArCoQuedFPRXKhsaWIPZW6gL/68hY7MrHbADXRTkSPNWF8RauCzHxExgval1dEXF37icFHRVBMIOzRlBpc31hS42ihtRFq2W1z2pPSn+ZSwxaa4kDDiidnlap3SXKFCQY12cbxyeWdyI128f4xZR3tv4HkzTP7L1hkORUaobfr+c6zD7Ueuh21/VyBIfcfHudYZToBDxuDAur4vrY4uPRxn4llogAOfj56UBnosp8IAEU2JId+NfftjQyo4NGWZhOPyeXzp5sVmnq0udvj7XVQY4mnKOJtyQwMTuxJbqMPvTP8qY2e0JfUH9pT/gW4uuxL7Y0RIBYks+9LqrICjLamZugNBsy5nUWkVx4L7kCqJXQMqCq+4G1qwUQQYz960wuHmIRUVu5Oa1e1aBSzCY2AIczK3TD1u6VIjt21NbDEAqXXgnuExHUivVc9HKkLkddgRv4mOzKx2nSuX9yuzVBeX7fGbzDHsAOXGtgGAgf+zTVFw7E2rM0H9wwqOoTeFAUd4UicEHAgwON4Gf6J6whfld7ix8G90XUH1BsfS4KwoCC8YcHBsDZ53XcxMEzR0VHSAxvpyHcqNcb58E9iUIQe7oozz5dNEX6FxU0n2FVN2TA1VXr+V+n4z1WWsSjcVWxwF6ZcuFRz8KQ1RzT9Wk4TKkTep5pBAQ+use3XkO/z9gfw040z7btuHzbjgzq12TF4KDnkdbJ00KfWXo+EYy4ALx9+wwQ1Mu8mA42z+LfTK0oUuwIGuAVqd8cqg4gU4+PgPZW6g9yqy6XzBWjMqhlBHqji6lA7scAccNqUGQgo5Ku4FNwY7Yu4F6OQoqAbmMGYMFwnkGHB4ZfuRQO6lmxebAKOhFBxaIFxbGmMuGFCZj/forCq6eKWdjmdVugLhSvm8vD4S6LJhzQqOnpQG+t2Km6gbICoCDVkHbEYXf/8kGHC0q7hNKMDBCofHcipco9h4bF7uJa8uW+Bwb2kTx67Va+0cbYBPwodz89Y53h/aetju7klpoLdK8hzqDbyGGjC//IsYFYhoz0lXIEh9/zHKHAsf+3Bqn+6bXqK6nrCLytuluWoQUA1e9KQ00CtLFzpcVGyuKdy29B25zpXOXoMtEqrIQQX5/e3SXJeqRw5idPibTDBT+QzYQLJ0P5Gfx7KqHACBjXEsf1g7zwUtJNhmA1xCCSwYABRVHvyfHKQTAQca+7sS+zOG2FQOrEiwGfsSHKDhz4qEN9YUqAFE+Xtb0tXUtVLB8bsVN5lrq23/abNfhRrSvUQeV2tiC/25MVl1Q2lNvBr4lH9LNYZ0TcFyIL3WQAoJdN6ryHYpNbi0+5scIEiL0cHQAwHIthmbqTe13vwOKziG3hQGHOFJnfglHTlyonE/YWjBaV0xTgbDDAYdGCCUA4iy2oMzrTCw4HVYhcHxNHDfDFFYpcExPBhooOqD3VIm+gppdHSqSRPLKWQnxy2iKXE30/S4FZQZW0nrRm2hvqNj6HReCZ3OK1FVHFosBW0UHiGHlk0lVNBRbdREi4OhQYJQvtKyc4uwIiJihKvTKqGE1pnROq/t4n/kPqSKQ7pRaC4pgzUS0S3FNhpuGxG3ZaRgwPFWSR49NX91SPcUdGsKlX5Tc3OS7ikHM2rp8i9i6OisKlfwRi2Ao5eCYzjF4GDAYXMp4fmyA21bTzNI5TpaZx7rOcJAvPaawSKBHNZbW/wNGXvDlkHlq3fKTVumQVtb/A0tCK4EHAw0ZJDRIzOrqa8r0pUiVlNvoGpDQg5UqTHg2JtWR0/NX22W2ZQ08j5pbU9nciO9Uz5bbaMk1JDtHhpvB9JrXdtJNYYGMDqT+2OA8LYaDNmV2OLYX1uSHXzgfA1ydwWCjmChXu011+He1Hp6qyTPUZ+9FBxdgSBd+vko9f81yNQVCNIH1Zmu9YcT4Lh/xlXA0SWe/YMZtcblSrqrai4nPSkN9KeqWY6gpLaYXvxevPyLGDXDlrY+LpOgUb6bGXxpzxfe60ezb3VAPJtiYreYh0EhES7sSWlQYQS6qVzeFe2p0tud1EyfBAOud4EEHY/lVLjcTvDYelIazHFzDA4JXHpSGlxgBCECKzwQfEijXio0EBy8trxIBQGaskKew+db4s3x47Hxd3bR0RQaWtBS/u9dA8eF8/GY2UVFwhwEHPwpocSRmdUulQuv84e181zXgtUY7X63goML/z+vu00oOI7MrA67qAzhKQw4wpM6YQwOdi3hrCgMKkZHpxrwMSY22yzj+VHXTDGuLei6wgCEg4XKGBoMMdgFZZwv37EuqkB4Oas5OEMKBxEd58un8b4C464yOW4RjfXlmoCkft86KopponPz1pnUnxJwaCoOW4YBqeLYJ1QcNqNUjr5rnQs0mLAzKqGHBj+00TpNwaGNdmodeDkaiEYHbqOBES9fcKlc0SS0EnJIqT9eexlcFNPDygCjoeJvfHn3JGt62BNz3KmFvUbGMQOPFsdFAo4r5wJ0OLPG5fKEReusSrej4QQ47plapnZgtVFz7FxLqBEKdsi6LOu5fA6lvFvG3ZABRmV6WC1ejAbjpDsV19dTeaX0YW26Wke94sRIeOuV5UeLv3E8q5LeXZ/jgHB7UvQ4MRrg0FRr7KLCChZNvaZBAXmPsK3pDvSnnPVqK0MpQTgeggRdNjUR7q8zuZE+rk81EFnWRQ2KSKDRofwXzpdtNCorZDsslRgMcI7OqnKAda93SWdyI33WkhTSlbED/vvLuya7zmU4AY6fDQAOCTD2pPSncH1teVFI9xEEHH/ZOsM8S6HcWvakNFDfb6Y6FCLyvSnX1/oeCDsk4PCCgruTmunxnPWmXyAVG1p7rLmC4PLHcio8XVs6/E10pS3KMb9V2c/rKwtV2IL/fzizRnWH4eNkeIGAA7dvH2hnZIwLBAP70uocyzW1hgQEOI/TptrcWKRCA0HL+5VZtHvgXKSCozWxhf5UNcsBNGxxQBCK8Pm/Uz7bAUwQurBbjjxP/rQFEd0Rv4lO55W4gA9//7g+1eyX5zG06E2td7mtaAXVG/y9N7XeuKiE08QOvSkMOMKTOvFLOmogsCjHzYgc+QO6IXY2xQyAD8yockPsbPMbM6hIRQfDCg48iioNdjlhN5NrYzJcWVHQZYWBB6pAro3JoIm+QgNMONjoDbGzHfE4/L51NC1uKc2KraaTuWX0wYYMNesAGwNsWPBIqjbCibETNHcVBByy84GjvahisBlNWucRO5heSg/5mwGH7ORrCg1tn9LgkEBDgg1N4izPWY5qyU5idyDo8vW3xd/Q1Bu2bBSaeuN0Xgn1/WaqSbupxd/wyqCCCg4ZvBFjuEjAsS+tjo7MrKaLry2kgxm1LvXGYEbohrOCQ1NmDFa1wcuwA66Nvst67WW8eQEONlRQeSQVHIONvyHdUzAGx5m5xfTK0oVW9xSvOuoVYBThhuZKdTqvhB7LqXAEGOW6ajOmbIo1VMFERIwwcT06k/uzOLQludP0SvWGVKDx970DzxT/h02ZI+ejQuLEnHLak9LgqC82WMbLse376icTqAOO2QY32sT5YZ1F1YaXmwpeTwk+NDjX4e8PENkD7graOwbb965AkPp+GelyXdCuLW9zPKvSdazDLQaHBgo4YOjxrErPuElcGEhc2R2puq9obid7BhQfXuqpbvEfNhUHvr87kxvpizunOPoQEiTyPX9teZEBHKjUQMUGKicQEGC7zUb3gfRaFUig22HfLyNVoI3t/NuluSokaYX/ZvcSLQbHrsQWejT7VjMPs6jwPFZqoapDKim6BgCIptRAdQG7UeD8HfGbqDO5UXUhkaoKTYXxxpoCx7ryGnxQnamqNeR3CW52JzXTSzcvdoAQ3veO+E1GdYIF4YmmVuFlR2dVORQduN6ZucVqbI6HZ2ymo7OqHMADC4KPbQrgaEtqNtuFY3AMvSkMOMKTOiHgGDlinCPIKAOPqGumOBQZvM51MTMd68VEzqCYyBk0JjbbpINlNxNWY1wbk0G+KD+N9xWY5dfGZJhYGwxCOCMKByRlYDE6OpUm+YoccTzYJWWir5DG+wpokq/IxOHg9LLT41bQ7JhaOjGn3ASQ9EoXK40BCTnQUEU3FZnaEzsecoTTy7iXcEN2TrEzYlNjaCOXEREj1JFKTYXBv9ugg21Ti0jDQPsPNGZCGYg4KuwVewPdU1gFgeoNjGmguaegYcgBRt9YU2DUG1hHQo2M8/8gGMPYBqHSxB7OrKEPqjNdKWI1FZBNCcTXeDiNkErAoXVqvQCH9NPWQIem1tDqMI6US3m3l3rDlj0F0xmj2ojrKwYIRQXHydwy+lPVLDozt9il3gilSsM2bbCAA5+zD6ozTQYVbOdCBVmW1w0VBww4PgkGHEBBU0xohrSmwGDgorVp8r5q/9GZ3Ejvrs8xx4NGnYQU0r2J68nLSxZZVR6DcUfRAAKCDmy796bVUbcADzZIze3E8axKA5Rsag98z3QFgnRu3jrXdbMpPnpT62l/+kaHm1C7f3gBDk4TKyHCnpQG01fQ4mnY3E4uPnC9a1BEi7/BbcznW+KtUKMzudEALH6vyvetrS27eP8Y133T3v8Xbp9GncmNLvBsAxw2eCHdRrBNx33uTmqml5cscrXx+L3D30Rf/WSC+s7AdbsDQTMfjXgGLhyjQrqosPHP1wwBDYIOPmYZzwKVGtJ9Qxr9DA284nDYIMSFO6Y6jk2qTGQWGW0/NthxKq9UPYYd8Zvo3Lx1ruPSYnBomVQOZtS6XFT4vP/cmOwCHxyr46WbF7vcX1ixgddXppDdNmMztSa2GOARdlEZelMYcIQndeKXdMw10wzA4HSwnMqVC0INTP/K7iroooKfrOrgGBmowEB3FAw8ykoOhBy8fJKvyLEuqzaui5lpgo1ykNFJviKaEnczTY5bRIm+NXRiTjl99ZMJJvPAYEY8caQTZdxydNNLweEVdFSOaGquG3LkzQY+tJFn7khLBQeOCkrjQRvx1DrL3MHdm1ZnHeXm33wecvRIk91KIOQ1Em5Tb8j0sF5yf5b8v1k8l87MLTYADEGHLYOKzT1Fxt/QwBgCjjNzi9XAjdJglNdMG4kbToDjR1PKVcWG7NxqyzUj1AY3bCPjUi01GPcUDczJVMa2+BsYK8NWX0/mllFfd+S3gnCPZt/qUm/INNgScmAd3ZdW1x9T4L8meKqM5CixHH2WbRwCjivtTnUAtkPSlUMqOWQ7dXRWlblnNshhU3Zwe/nNg9eZ45HtpVbPsBzLqqLzBWs962Co/UiFkWyj8bgOZtQ6fmtttWyfT+aWOTLWeAEgbrvR7cdm9PJvdrWTI//DDXBIUMFA4VReKe0bAE825Z3sG1y8f4wLYNvej/vTN9KVtig1PbOmGnlq/mqrioThGD+XnIFI9iMkYOs7cp2jLZXQWUIFVD+gcc3Le1PrHduxgYz7fX7BMse+8DtDhVN5pa53gnRD6UlpMN9RhcHlnfLZ5lhRwcGGPddpPFaEGbhv6fYh3T+0WBWsjLC5tPA5aaBjV2IL9f0y0qUq4ePambCJ3imf7VKDeCks8H/PzC123B885jfWFDiOS1NjcGFAwUqLvWl1qvJiZ8Imeq5ouUMNgvs8X7DW8V+o0tBic6Cag49j24zN9A+T1w/5tun/b1MYcIQndULAwYqK2KgEo8ZgdxUGGQg7OJAoqy6ui5lpIAbPj4mcYebzMgwkynAD3VUw+Oio6ABN9BWaOBzs2sJgAzOqcAyOG2Jnm/gcHMB0kq/IuKicm7eOPm32O4zXUJkxpNHKxglDDjS4taCjNt/0LtEBsfnD2sAGdmilFFl2ghFweKk+vJQZsiMs/1+6y+A8aRxKwCE7fV4yfwkH2GhEAIXuKV7BGhFw9P0y0pUaVgNhWE/YcOQ6MpjYBtJN5UB6LX31o4km/kYoBYdWZ/BaDyfA8eOpZSFVGjZjUSqQNMPR5p6iwUI2xtmA0eCcV+wNLV6MlsqY66wtXsyZucX02eYEz/gbEm4giNOCi4ZSGO1Lq6PDmTV0pS1KDYLbk+IeZZZGlPb8c9sQETGCvnlotDpqrKk5pGJCGtcfbMjwNMRtYIPbyq5AkC69cDXQok1RYlNivLa8iPam1anqDVsd1BQePN/WPvN/v7BwqepSYCudyY30abPfGLahCtd5CSw64Bjlu4Gze0hwMpwABwcZxfcZtwfPFK50ZDixQQ5+bnpT6+lPVbNc4EMrvP7ThavUdeXz1x0I0qHMDY75UlXF96krEKRXli50vc9lvWv3N9HFB643dVCCZgkMbMo7XL4npcEBJOT67B6BChEJKNr9TXQy1xm7SVOQIBhB459/f7Y5waHgQEUDu5/sFvvgZajgQPWGBjN4ucwsIoGHXIfdV+S++fy++tFEB5CRxy9jZcgApvgdgQWrX3AdPMaXbl7smrfdcj4SfhzK3OBSWvDyt0tz1dgcO+I30dOFq4xSRLqpsApGi8XBAMQAjrCCY8hNYcARntSJX9LR10xxZD4ZE5ttlBmcEpbTx2K6WAYf7HqCgAJdUDBNLG/PCg4OHMoqDVRwcHBRXMbqDIYbHH+DM6vwNhN9hRTvW2UCkDLgOJ1XQn1Hx1hH5zHrgBY0Uo56YipFzV3FS8LdJTo8+Kn5qstPr+9yHhsR2GHHDjGv52XkyREcDV5IY5CXa2oUrxEthBwSbkj1BsMNVE2wwShHw23ZU07nlTjAlwY4Qqk3vIxHCcWwHMrcQFfOBUwMAq/gjVp9Gc4KDgYcto6xDXZIw9I20o7GLtZ9CelCuVWx8ae5VLH6QQYXHSzgQLh2MreM+n4z1aSH9cryg3VUU3Dg88IKDlucmP3pG+nR7FvpzeK5BnBIpZotCC4+6xrsZAXH+5VZKuDQ7iHCVwkrugJButwa7TDapPrBBjf4e3cgSBf/z03UmezM5qKBDVnv2v1NdPH+MQZwyJFteT4aINEAiDxfBMznC9a62l/ZtuO5dyY30oU7prpG7r3eMwz3NcNXA+WHM2tojwJEhiPg0ADE5V3R3wpw7E2ro8+3xHvGs8H5van19H5llhqDQ+tTfNaS5Kmowmf1yRvXOOqBhHxGwfGraPOMSqDQmqirN1h1gS4dXgAb12n3N9GLi5dY3wPsonJ0VpXrfYHGP8IYhBKoGPn6p98360dEjHDAilYFcKDigkFAm9hGwgQZQwPVDBgXRIMDe1IarG4ruxJb6PLTM1VlyY74/mN7LKfCtZ0EE1phmMn7xvghOxM20fMLlrm2lwoUm4vKiTnlVted9yqyXS4o/P+vLlvgcm3hdduSmh1QQ37fMaDmCAOOoTmFAUd4Uid+ScdFJRmAwXE1GEIw8BgVHTCAAiEFZ0LhuBkcH4PjcDDwYKXFOF8++aL8xs2EY2xwxhOMrzHRV2iCj3IwUVZ6MMjg7XgfDEv493hfAU2OW0TZMTVmpP7yrmhHNhXNMPBKqSjTKUo3FS0WhzQAZOBIzV9djrAwnMBOqpe6Qq6HCg6Ugmuj2dixkZ1krUOLIEO6pmAnSna6pNvF4znrXbJdTg8rR8KlsfhtgotKwPF+ZZZxT5Fww6by0dLD2jLveGVQOTqriq6cmmGyNrC02wY4vBQ/Hf7hm0VFSpW9XFJwJBHrrebaII1gzbiz1WNNxSHVGxLIcX1AVyot248WDPdUXil9viV+UNlTpHqDXe4khJOZfrhdk3Fu0I2KzxHhhowPYxslljC0ewBwHM6scRnO6FKkqTpku8X/xxlMJAjwGo3G/fSkNNDThascxh2CCZwn1Rft/ib64s4pjnoloUaoz1AqE3ke0qXA9j7Ad8If1+Wb940NiuC88wVrDbDgIo8F/+v1lYWqgmM4Adj7Icgotgc9KQ30YW26Cv00F5SelAY6kF5Lnzb7VTWGBkQ4OLUWmwmhCM+/0hbl+l9b24bpffH+4f3u8DfRVz+a6HpWEejJWBuy3ZbLJAxsFcs6/P3BfxEsoJqDAQfCB6naaB1QeUjoIoECB+HkIKPy3cNpZFEBwiABz8sWP0OCDS1oqIQv6JrRmdyouqAw4Lhw+zQXIOHf7f4m2pdW5zgOqfZA0CLdX1g1o7ndcADS7WK+DXQgkGAYoak83iye61JucHk8Z71jnwgwDqTXmnnoqrIN3GO2hV1UhuwUBhzhSZ0QcHDaVnQfQbUGu6gwlGAIwioPjrsxyVdkoARmSGEQwooOhh+owECXE1ZnjPXl0iRfkcmYwjADg4jyfhiCMNSYHLfIBBktimkyBsL5grX0ZvHcv8lNRUIONFplylj2VZfGqmYMaH6xsvPBUELCB5t6Q46oRUSMcIEK+V3rFHspQ3CUGw0MOULL3wczkjWYuBtesQw0wGGLvcHpYS89N9tAL03d4wXBMFaLHBmX0n+sLwfS+43cx3IqTOpN6Z4is6hIlY+sL8MNcPx4apnL/UR2NGWnWBv5x/m20XzNwJMKDulahQbNYOss11esq7b6Kuvs2fxbHDGEsI56BRi1KdJs6WFlitiDGbV08f4xdGRmtRonRos1JNs1m8saAw6M5YNgajDuHdhedQWCtA/2hcu94AG2cxz4FwGHHMWW3xFOcJBGecyakkju3wYybPW2M7mRLj5wvaM99jo3vv6Xfj7Kpe7A/eL7psPfRG+X5joAhwaccP1LD8c5XGB43eGk4MAsKrI94KC5g1Vw7Euro1N5pVY3VoQXewaAyN60Ohc8se3/teVFaj9DKi27A0E6kF7r6j/I+tcVCNInwYB5XmV7y8a3VGIgSGgV7TjOl+Bjd1IzdQWCJsOSBBj8P3y8NncUCVIQJuAxXXkk0uGiItUYB9JrzX+i8Y8qEFuMDE3BobmaSCiA6yGgkO4kuxJb6L2KbFeAUF6f77nmgiJjdeD12ZmwydQDLfhoa2ILfVib7gAfCGUwJoYEEqyAQYiB7iavLS9yKT74OwcZlSqNHfGb6GRumSsGBxc+NoYc4SCjQ28KA47vyPTP//zPFBERQWlpaa5lTz31FBUUFFBMTAyNHz+etm7dSl999ZVrvUuXLtE//uM/0sSJEyk6Oppyc3Pp5MmTf9Px8Es6IuJ7FBExIlzCJVyGRfkefduXdLhtCpdwCZf/nfLt2qfvWtsUbp/CJVyGa/n2fafw9PedwoDjOzC99957FBsbSz6fz/WifvHFFyk6OpqysrLokUceoXvvvZeioqJo2bJlrv1UVFTQyJEj6a677qKuri7Kz8+nkSNH0m9/+9tvfUzhl3S4hMtwLN/uJR1um8IlXMLlf68Mvn36LrZN4fYvropdAAAgAElEQVQpXMJluJYw4BhqUxhwfAem9evX08KFC+mmm25yvaiXL19OEydOpC+++MLM6+7upoiICPrNb35j5j377LMUERFBO3bsMPO++eYbSkhIoPz8/G99TOGXdLiEy3As3+4lHW6bwiVcwuV/rwy+ffoutk3h9ilcwmW4ljDgGGpTGHD8nadz587RiBEj6JVXXnG9qL/44gsaOXIk3X333Y5tLl++THFxcdTQ0GDm3X333TRixAjHC52IaNu2bRQREUHvvvvutzqu8Es6XMJlOJbBv6TDbVO4hEu4/O+WwbVP39W2Kdw+hUu4DNcSBhxDbQoDjr/j9D//8z+UmZlJzc3NRESuF/WTTz5JERERdOjQIde2N954I2VnZ5vfixcvppSUFNd6//3f/00RERH06KOPfqtjC7+kwyVchmMZ3Es63DaFS7iEy/9+Cd0+fZfbpnD7FC7hMlxLGHAMtSkMOP6O07//+7/TtddeS5988gkRuV/Uhw8fpoiICDp//rxr27KyMpowYYL5nZaWRgsXLnSt99prr1FERAR1dnZaj+Pjjz+mV1991VH+8z//kzBTAUZ135PSQBdun2ZNH2fLliGzYdgyY+xP30iPZt9Kr68sdGQhkdkxOOMAZ8nA1IqYecCWXlFmzOByKq+UTueV0OXfptLpvBIzH7d5Yna5mhL0WJY9baxMA4rpY23ZB2QKWZk+VYvSLvPWa9HQ5f2JiHBmUcFMBhwVXaZxlClrtfvtlQZWiwSPae3kNeDrgyk2sW7sT9/oyJpyOLPGkcFEZqJ4LKfCWg/O5t9CLy9ZZE0Na8tKIeuCTA0r08PaUsQezKilvicm06HMDaaOaPVDRsS3pYnl+zXYLCpDsW3iTA1aNgtbJgpM/yqzRdjaNHy2bHV3j6i3Mi0stme2NMYylTG2X1gP+7oiHXWU2yotyw/WU/wPr3TXtnp6MKOWHs2+lV5essikh+U0xlr2FJkBQrYL3M7g/L6uSFfbJO+dlmnElvFpf/pGR2YnmdbUlnKW1+1JaaAXFi51ZI/AbCgyJXGbOK6XlyxStx3MPmSaWO14ZQYVTvdqy3SlXaNz89bRwYzakCli+Xd3IEivryz0zKaF87sCQXp12QI1o8tg0sR+V9qmUO3Tz2aUuDKTcP3Zl1anZkORadI568qlf/G52nstDTW3O988eJ0r3bwtY0uP8lzK9LA879LDceqziO1uh7+Jjs6qou5A0FWPMSOKrcisJbsSW2h/+kZHxhPMesL7/Lg+1fF/cp9tSc302eYEx/9jSlotw4h2LPwfvM+IiBGO5W1JzdS3P9aVDhazkjwxu9yRaQQ/MS2szKDC2zyWU+FaB1PRPlO40pFhBTOatA1knOF94b53Jmyio7OqzPlhJhZ5nNpxncorpXZ/kytNLJeelAZXphSZMUami5W/Mc0sl3Pz1rlSzPI6H9WlOeZhppU/rJ1ntsMsK9sHUu1yxpVwFpWhOYUBx99p+vTTT2nMmDH0i1/8wsyTL+pf/epXFBERQc8++6xr+5qaGrr22mvN7/j4eFq+fLlrvTfffJMiIiLoX//1X63H8rOf/Yz6Rxzc5cdTyxwdLk4R9/VPv+/qwMiXoTSw8bfNEOhNrad9aXV0KHMDXdkdSQcznGlWtRSgNsAhjdpHs291AQ7NuOV0oGfzb6HXVxaqqUHRsMW0oGjUclpQW5pFBBxswLIRi8bsYDopGujoDgSpN7XedU8QWvA8NiJCFYQf2GGV0ETrMGnHqnXWMA2qllrTlmJTAg6tHthSbbpSw/58lEkNy/ce6wBvi3VgMOlhZepNDXztT99IR2ZW0+VfxJh0f9JwlMajV0phNDgGY0AMpbbJBjLakrwNwVDpQPG7rV2zpWjkgs8011+vVMZaGuNQ9fXM3GL647p8FcJJsMFFAg6EcDI9rIQaCGgOpNfSu+tz6OisKjWFMV4Lvj4yfbEGTrnsTaujJ29cY9omvE/8Turwu1PF2qAVG5VaaktMFauld+V53F7jtjLNq0xbzPPa/U3U1x05qHW1ZaHSyWrndGZusSvFN14bec27AkH6qC6NegbulUyzK393+JtMWlINWMh12/1N5pnRrneoNLHfpbYpVPt03/QStX346z3jqDe1PuQ7nd+Hvan1dOH2aZ59AZzfk9JAryxdaAUiXWL941mVVjiO74+uQJD+snWGqz8gAWOHv4neLJ5rnhMEDvITU8PK77jeqbxS1zwEF21JzfRhbbpjGaczRQjyQXWmYx0JONqSmumTYMCVJlZLOcvfIyKcaWLbkprps5Ykx345zWnrwHF8Egw4YM72eHeKWGnU4/e9aXWO+dvjnbDhmcKVVjiB7ZaEFa2JLXQ6r8QFXxCSSGiBqWBP5paZ/cqyI34TdfibrDBje7wOPbYr1wBBR2tiCx3MqDWQAlPP7hhIE4vpXnGfLy5e4kgHy+tsm7GZugJBAzi2x28KA44hOIUBx99pamlpocTERLp8+bKZ910cJb1HMSK6AkHq+1U07U2rU0d05KixpuJAYxYLd6APZtRS36+i6XhWJR1Ir7UCDoQcbNiiYalBDjYWQkGO03kldOnZLKPi0AyHx3PWO0bu0bCVBoNttH6fABxYpDErOziY214zcKWKQoII7rhERIxQDWL8btuPNFhwHTxGXC4Ncwm7QgEOCTbkSLhUcGjqDQ1usHrjlaULVfUGKnkQcsg6gIYjjoxrqh4NcHywIYOOZ1UaZY9Ub2h1wXYf8D4ORsEx1Nom7ERrsGOwcMNW5+VotU19hPfFpt6QKh1svyTgOJZV5aqvWGdP5pZRX2+US1mkgViGHPwMeNVRL4URAppDmRvoyrmAC8L1pta7IIemNtNURniteX8RESNcBjYaGBrM6hD3tjO5kc7m3+Jo3zTlA26PIIGP6fer57sgCSorJIhoE8f0WUuS41i1dWWdllCDz9dWj/GY36/McoAeDTpI1d6FO6YaGKVdK7n93rQ62pPSYPZhe+YQNHUFguo6oQDsd6ltCtU+/WxGiauN6E2tp75fRtJeUHBIBZhUV/Sm1tO763Ncag0b6OhNraenC1epbZQGPB7LqXA9k7Jw/T+dV+KqNxoovHD7NOpMbnTABQ0sSEihgYtdiS30wsKlDhiBMISfjb6uSMezJIFJW1IzXbhjqhWy8HZf3jVZBSX82e5vcgCPiIgRLgDyabPfAQ8kCHi7NNehDNHAhlRQ4PL3KrJd6g4EGS/dvFjdDwMWBg14THwdXly8xJwv7neXOBcNVJwvWGsUK6jswP/AY0IQYQMcfG/4OiGM4P0emVntWMZQojWxhf56zziXOoP3fW7eOsd83vbhGZupM7nRsd0/TF4fBhxDbAoDjr/D9MYbb9D3vvc9+rd/+zd6++23TcnLyyO/309vv/02ffbZZ98JP/cfTSl3GQydyY10ZGY1ncwtcxkACDnYeNZG8KVRIA2C/ekb6XzBWvr96vlGxSELd765I44KjiMzqx0SbBwNZaNBAxxyJP9s/i30YW26y9C1yb5t7gleRi2qOSTg4E4PG7gIhrxGcaTsVYMRaLAh4JCGh220FQGKBlVsCg6tQ4cGkTTmUdmDLj1S5n8g3V0H5Gg43y8NcPE97zvgozNzix2Aw8s1RY6Ka8ajVG9odcBhOJ5NokOZG1zgS0IgNB5DjcB1DMKAGEptE8JXOYrInThptIYyvvC7Bu+8VEiyDkvlBtZXbg8QyGl1VgJZBBxn82+h36+e72izpGsK1ncEcLY6emRmtdUtRZ7Do9m30qvLFtD+9I2eMFa2S1obowGO9yqyqXugbZIGVagiVQpdgSD1/dcEl7xeU3DI+oT7+XxLPHUFgi6wIRUXGpzoTG6kgxm1qmxfAgwNatjAnW1+Z3Ij/alqlqtOa+45uOziA9e77ouEHbjdiTnlDkglr6U8rnPz1rnuJ69/z9Qya/s0FNombJ/um17iajd6U+vpSnukS42BgwHyvd6bWk/HsqqscFW2Q/zOsO1Ptl3PFS13KdQkdGwf6Mu9VZLnuPfyHnM9/+rdW6kzuVGt6wgUpDrCthxhiQQlDB2+eWi0A34iQOB5Fx+43uW+wuuy+uLN4rmu/0E1R1cg6NiOAQf+17GsKge4wOXsBiMBg1Rx2EDCjvhN9HF9quq2wd97Uhpc7iQMKRhGIrDAdVl9IreVoEQe367EFnp9ZaEL6kgFi+a+Il1HJNDh6yNBCG+/e+B4EZawmuN0XgntTLgKPRha7IjfRL9fPd8BRBB29KbWm3W3zdhMP5wUVnAMtSkMOP4O09mzZ62yRi633347XbhwwTMaeH19vZl31113qdHAH3roIfr/kqngnqll5qWBnZSelAa6sjvSZUBp9F9TFcgXuIQc+9Lq+mX6T880BiHCDe54a64qOCIp/dnlaKj0Z0dDlz+/efA6RywOXFfGYNDcE2x+7dKwtbmsyOuDRgR2ZGSnR7qK2ICEBBwSUOG+cJm2LwkzEIT0gFRd+g1rcTekgWhzTcGRcGkoamDLNhp+MreMnrxxDT01f7UVbthib2gj4/Lea5BLGxl/PGc9ff3T75uRcZv0X95bTSkjDZRQCo6h1DbdO63UOootR/RtI9dyNFK2YTbAISGdjBODsFZTnzHkCOVW56U2unI2iU7llbrqpg3CSVc6DXDIuqopjPiZu3j/GHosp0KNEaMpzrCN0tRF0u3hm4dGm7YJjWbNqGIDyqbO6ElpoJduXmzaLgkGOkS90cBBVyBIfb8ebQCBBlY0txKGE0dnVVFPSoO6vpzHRpumUJJuMzblSlcgSCdzy1x1XD4HqN7oDgTpwh1TXfdFU7vwOn9YO0+9l1LRwfM/rk+1giYvF5Wh0DZh+3Q/xODg919PSgN91pLkORAhwSA/X5pqTwMkJ3PLHABFQnBZXl9ZqL6/ZT9uT0oDvbh4iVonsJ3t8DfRl3dNdj2buwFQaG4pmvKCjdeOAYNcKjJ4n53JjfT1fWPNsyABBu/7dF6JCjjQnWVvWp0rHgiuuz99o2MfEREjDBzh492XVudQZ+D57EzYRM8vWKZCAi/3FIQL75TPNv8nt9uZ0B8/QlOP7EzYRIcza6jD3+QCFny+71dmOZQXmmrDdpx/WDvPAZZwO77v25VzkoBGuqjguUrQwXVPQhL+H3RRwWXb4zfRO+WzVfXGwzM20ytLFxq4EY7BMTSnMOD4O0x//vOf6dixY66SlpZGU6dOpWPHjtErr7xCRETLli2jiRMn0pdffmm237NnD0VERNATTzxh5j3zzDMk87lfunSJEhMTKS8v71sfIwIO2aFqHzBu+/bHugCHVHLYRu/xt1QpsGF7IL2WLj0cR0dnVTncVNj/Wyo4NMAhVRw2I1cauhiL48zcYrr8ixiX0evlpqAFHPVScnjF5JAGrs3P3UuKGqpIBYdXkZ0gbWQJ4YptlAp/a8Fmbe4pWoBGW9yNUO5J6HpyKq+U+vbHOmJveMU1kAoOaTiy8Sjjbki4IVVJl1uj6XReictwlNfJBq9sndTBKDiGUtt077RSTzcUzSizGXcanPVSb0jD3cutCtsszZXKS7kh2ymui+fmraPnipaHrJ/YNmnqDQQcfEyyfeLnDSHckZnV1Pcfo4zKiN1JsI3SlGUSiqLKD8vetDp6fsEy0zbhaHCH3xljxQaz8H4/eeMaM3JpM9hRSaApOXpSGuiJ2eWmvtjAhgQS/Pv9yiyj/rABES93FTwmCTvkaDoD6K5A0LPOa2DpZG6ZuTcaiMDfncmN9FlLkksVIq8rLvvrPePM8Upj2QtwDIW2CdsndlHBtmNfWh29vrLQ8Q7EeBwaQD0xp9wVs0O+b/G98Md1+Y71vZSd3YEgHcrc4NofPpf8yQMtfK/5mZSAoysQpPcqss1zKsGGVC5JtYYEClzPNTDB+2j3N9HvVtzk6cbS7m+iY1lV6n+wMb5rQKEh1Sb4Xx/VpTlUJhyDA4FMb2q9yz0DDf796RtVcIDBM7crxj4vQxcUVDTwsbKiAd06+PyeX7CMdic5g4iiC8lT81c7jldzgZEKDJ73WUuSuQ5SgYFxSlCpoik3+DcrLTqTG11QBQHHrgFwIgsDHV5/24BCg2NxvLs+xwE1EHScmFNuvj80PazgGIpTGHB8hybpS0pE9MILL1BUVBRlZWXRI488Qvfeey9FR0fTkiVLXNuXlZWZkYuuri6aN28ejRw5ks6dO/etj0WTgUt/4mNZVY5gZDa/TWkcaHBDk3fvS6vrH82+bywdytzgiLmgjeDLYH22IJPoUqAF7tPicbxfmUVn5harripeAUdtripo5EpXBTSKtMwZmtoBr2WoTo0GKiTgkCNPtmVe+5cdMptqQ95/LX4BjoJryg2vLBSackcLLPr6ykI6X7DWGlgUDUjc32BGxQcbe+NQ5ga69NxsU9+9YrFoSg4pL5aGzGCCjA6ltgmNLm0U2wY2NCArVWgS4NnaLQQbXvVWg7ESyg0msOipvFJH5hRWksmMKagwkhDOFntDUxhpmawezb6VTuWV0oH0WheEtdVPG3TF9wXD8ydvXGMCJLOCQwIIr9IGdaErEKRLPx9F3QE97gO+3yQ0wbpzLKuK9qXVuZQVOEKsKTN4H1faIx2gRo5wtynHoYESOc82is6uI+1+Zz2XsALrPYMqfKd7AUN2JdLcXmxA5EpblBWCeLmoDIW2CdsnzqKC7z9Wo2pwWns2WPHBz5ZNhcGlN7We+o6O8QxiKt/bR2ZWOwYksN8mFRw2gIX1ck9KA722vMixTHP5kJBCAgf+RMDRqqzfltTvFsPqDKkY4W24bZGARcKUdv/VGBsMBdAwf6d8tkOlwFlUeD2+ftJNBt1EOvxNLsChGf0SdPB+9qQ0uIAIuoqw4kErJ3PLHC430p2EM5JoyzX3GTyvC3dMVdUfO+L7A6OGUoTYYnE8e9MK6zLNPQWv3/70jS7wwUDj5SWLDEhhtQaDjlN5pY4sKmHAMfSmMOD4Dk3ai5qI6Le//S3NmzePoqOj6fvf/z7ddtttjpEJnr755hu66667aMKECRQVFUVz5syhEydO/E3HEkrB0e5vMtG9JdAINRKqvWwxOB0aCAczaunKuQAdy6pS4xXgiKgtyCQbntroqJe7AhsPHHC07+gYOpt/ixqLI1Q8DpsEnF1VNMiB6WO1wKNebgua8SuvObqPMODQ1g+lwpGKDDkChcehKREk1JCqDRvYkLFX0FiUcVdCwY0zc4upryvS4YqkKTh4exl7I9TIuDQeNQXPgfRaOp1XQmfmFrvcU/jZ8Oqo2qTFaHQMNk3sUGib7p1WajWmpMuJF9iQMNarzZIAMZRqwxZU1CtOjE1txPX102a/A7ZifdYCi2oKo8Goy7TYRybD1bmAQ72B7ZLt2ZfGG8MHWWe7AkHqO+AzbQ8CDgkmbAY+Khu6A0F6bXmRw7VEuqRIlYQECZ3JjfTVTyZQb2q9CifktngM/H9XHol0GGs21YZNvWFTcyD4wfP6YEOGC1Dgc6E9I88vWOYYpbdBQS7dgSB9cecUBzzhZZpCozvQn6WFwYu8n6GyqHzX2yZsnzgGBwKOp+avNvBBe1/Kd/CelAbq64r0zIjiAhy/ina4qMgBCi+oIp9DbBsZhGjuKVjPe1Pr6dHsW01dZ0WBLYaGVFNI6LAnpUGdj88QPtv4P7gNn5cGWljRgCAFVR14jB9UZ7oAB7rWcNuGgEO6gqDiI5QLiHSrYJUIunugeweqMzT1yBtrChwAB9fbldhCB9JrXe4lGijR4Mg3D412wRP+PJlb5lKCyKwnNuUKBxHVyp6UBpdSBffX7m8yShAJQN4qyXOoRVDF8dT81Ua98eD028KAYwhOYcARntQJg4zaAEdXIEh9R64zHSIc1dGgh2ac2WIwYLDRs/m30MUHrnd0uGX2DFsWDTQg2PANFY/B5q5yvmAtvb6y0DFfAxyaikMaFDLYpDQmEHLIDAVaGtlQI/sSfkhAERExwrUslLHXbdmvNABt8MULatjSwWqGojQWve6zDCpr4FVPFJ3Nv8XlmqIFlQ2VOQWBluaeYstMcTizhi69kEfHsypNSk4JtGz3UHNHkd87/E30sxl/G+D4Lk0yBodmsA2m2K7XYFRIUlWlZUwJldY6lMJMa5vO5t9CF+8fY82cIuEG11FbAFxsK/G5wvZIAsbHciro0s9HGfWGhK2yLdBGq72A+J6UBnqzeC7tT99I7f4mAzgk1PByS8H55wvW0r60OpdaQNufbV5nciP1/SraGOYIIrQYGlKV0ZncSEdnVanbhXJP0dQhmsoEf3f4m+iD6kxPmCEhRlegP/27fJ/bXFT4XnFWFBs8ke4Lvan1rn1y+VsAx3dt0hQcDB8u3D7Nqq7QgEdPSgN9tjlBBYVaX+pgRi19UJ3pWF/2vTRgK90aNVD+UV2aC1hp95jbAlZQIHTg3zLOhox3gSDgvYpsh0uIFrujWzyXuB/ePx6TVhgOMJjBoKEYJPOP6/Idx8sKDv6fvWl1LncMhAW8LX+3ualIwIHuGbsSnZlXcBuMdaG5kvDxayoOBkEIZaSLilScIOz5YEOGVR1yMKPWoVLRYnlooGdnwibqDgRVN5bt8ZvoxJxy1zYyba4MIMq/OQDpNlBvcHlteZHjdxhwDL0pDDjCkzpJFxXZ6eIO0ifBgKODo42OamoO7QUvDQd2UzmWVUVfXPiJMfy0YKPSTSVUNg3s+NvcVLR4HBcfuN6oOKTbgnRfsAUd1VQcbPRqmVW8VByhFB2ay4o02BhwoAEn3VG8YnzYpOg2lxTNMOxJafAEG9p99sqaI++vljWH7+try4voyRvXWONu2FIDy+wpmkuSLcCoZkA+mn0r9fVEObKnyHsr76WET5rBiM/lcAIcP1UAx2DcUDSgIa8l/h5M/fVSbshMTxLGcdskgRzWWYZxV04nuNJW25RkobI72dQbXm3RgfR+A4rdNWx1VIOlUhWmAbjO5EZ6LKfCYWRHRIxQFRYSFGiqjM7kq1lBZD2Rrh9e37sCQbpw+zTak9LgAgoasJAgglNxSsm+l3JDU4dIEKMdM1+HV5ctUBVOtmdiT0oDXTmd4Lj2GhjB/RzMqHUoPviaa/CF1++BayjPZbgBDqzzvan1dOV0gkONFwqm7k2ro79sneFScNjewwfSa+nr+8aq6k0JGLsCQTqeVamqO7T2kmOnhAKF/PzKeq4pOaTKolWUXYktdGZusUP1IJUWu5Oa6cScchc4kSDkmcKVLsDRJrbhGB1ye9zngfRaF+BAUPFo9q0OI59Bg1RU7FDma6BDBs1EtxQNRLB7ioQQfL6XnputxsNAVx6p+kAwwfM6/E0OiLAzYRP9bsVNqltO68B1k6448nzlJ59rb2q9FYycmVts/ksGE+X7JNPH8vK9aXWuDCoMOh7PWR8GHEN8CgOO8KRO/JL+8QDg0EaOOvxNtD99I11ujXb5UmsjyDg6YFNxaCOihzNr6InZ5fRWSZ5qGGpuCxyLw6bisLmqSPcFCTlO55XQpX/xuYwMm++7NsKv+b17ZS3Q1Bw2lxWtaJBBGiGs4AjVkbLBKVs8DXQ7sik3NLCxL+3bxy9gAw7hhs0FiT+fLlxFl34+KiTcwDSdtnurxVvRDEdUH+H5fX3fWGM4ermnaICDv2suGfgM3j/MAAeeJ3e2NbiqwR/pJqHVb/wtIaJXAFwv5Qa7zmnQ1SsA8u9Xz6czc4vV2DBYT7FNk4BDuk8NJnMKfj+UuYH6uiKNwsimIrOpN7R7gvehM7mR+v5jlAOYo4JDcweRcKAD5nf4m+itkjyX+sBmYGsgv8PfZJ7VDnEc+MkGhFRxtPub6I01BY7jksctYYa2L9t5SojA17I74FRV2CAHPy97Uq5mRpNtCCpD8Pn6sDbdEZvBpszg+WfmFjsMZAml/tYYQd+lSQMcDCv6jo9TVU5egONUXqnn+vgfR2ZW06PZt6r7kkqN7kB/lh0JWvCZxHv9fmWWquyRfcNPm/3UmdzogAleIENCBwkoDmbUqvNx+/crs6jd32QFF7sS+7ODIASRIIXjT+B/oAHPgOZkbpnLRQVVKBxoc1dii0N1gMeLigkJEGRcDS0Ipy0mxvYBdw4NSvAxXXo4zgE3sHQFgg4XFU0lornVMHR6NPtWxzLc5nhWpcvtRWZOkb/583BmjQp7dsT3p3qV1woDkGrLuLCbjIzBsW3GZnosp8IRryOcRWXoTWHAEZ7UCQGHBBvY2ekKBKmvO1IdlZPuKlj4hSxHSDXAwX7fl5+eSYcza1wqDlvQSc0Q1rKqoIpjMJDj3Lx1JtsGz/s2kEML7mdzWZHZY6TLCsIOm7GhBQDEzk/PgILDy51E+60BDfwuP2WWHD5+LQWsllbTFmNFy5gyGHB1Oq+E+o6Pc2VN0QxHm/Eo46xo6g3byDjG3jg6q4r6uiPpYEatVb1hMx41ebHNBePI3HlD/iWNgMOmzLApWuQ8ef3k9dXA3WDAnKbc8MryI2PFSLXR6bwS+nxLvMs1zhZ3w5bVSQOsXtl9pHrj2ZtW0OM56z3bHVvdlPeE3x9oHO9P32jSVrLhizE4EETgPE3VwO+ft0tzXe4bEnLYXD74ON8pn23UG/I40MBj46rd32QUG92BIPX1RDnWR4BhU2uEUmpIZQeeF2eg0RQcEnTw/ehJaaC3S3NdcEMatLgdx+DSYIZWvrx7kmt9PJe/Jcjod23Ssqh0DxiOb5XkOfo+NgUHF37WbCBEqqa+uHOKNcaHhCJdgf7YNPhMItySbeeryxZ4Pj9cF7958DoXxLNBDhmPQgMPx7MqXXEzUMWxO6mZvrhziss1TK7DaWRtMKUtqZmevWmF67jQVaXD3++Cg/NYwcHlj+vyHftFNQMrGVA1gZ8amJCAA9UimrKCXTZkPAtWd3xUl+ZSWfB+WdmmuZ/Y/o8LXx8Zl4O/M4iQ8ALVFTuU767L07YAACAASURBVDviN9HjOeutMThO5ZWqcGR7/CbqSWkw14EVGjtg/zsTNjkUHFjOzVvnAB5hwDH0pjDgCE/qpLmo2NxUnrxxjeqHiyM+mgwS4QYaE9oI//70jfR04So6nVfiil2gjZbKYH5eRgUaxDJGgw1ynM2/hb76yQTVMB5MPI5vk8VAMzbYwNAUHZrR4aXsQMBhM6htCg1t/zaDEI9Nk/VLY4rvKwKgUNDKS7khM+N8WJvuGXfDliXHFrTRC26ESg37zYPX0Yk55WrsDfls8Hcvw1EDjV2BIL30f48c8i9pLcioNiotr4uEQGhYoGRcGumaO5UWCBdTwdoUR9ItZTCxYk7lldKlZ7MMSMW6iXE3sH5KF7nBtDlcF2Wbw98PZ9bQV+/eSoczaxxpYfdAPeXrpRlXPDqIEA5LVyBIj+VUUM+AIoCNJ+migkoICTvku+ep+aupOxAMaZhJsIGlKxCkvv8c63K90BQYmtKiM7mR/rgu37GN13bau1ZTUWquAnwtH8upMNdcAxx8DfF5OZS5gXpSGqyuQ3wt8Dm70hblAimaaoR/v1WS5zhuef2Hm4sKglKOc2ODDziP26DXVxa6XFq8FJVvrClwvDM0cIL/9XThKpeyVnuXdAf63VnwfSKfk7aBun75FzGOOqzFz9AgA8bOYON4d9JVVYBUcPD+OvxNdHlXtANeoDKEv3+2OcEBPyS82JXYQq+vLHQsl8fJ54kKDAYcvM2HtekuZQZCBIYoqOzYHu9WMUjXCd5PVyDo2i/u6/kFy9S4Fny8/P+ae8zRWVVWdYcEE9LlRrq3SBCBqW3lsUsYg5BjR3w/tLFt98d1+Y7rhoVT3vLybXBNUZmCAUZ5necXLDOxObbN2Ez/EAYcQ24KA47wpE5eMTiwc8JEG91UNGNjsC4qNsCxL62Ojsyspr7fTDUpNEPFaBjsaL9XwFGveByfb4mnc/PWebo1SKk4Gx0oFce4HHjsNqNYqjn4GuEnGmM2AIHGW0TEiEGBDeluIkGGLTaITc4vR70HYyRqcVX4UxqJj+esd93HU3ml9PKSRfR2aW5IuDEYRU6okXGbeoPr7dFZVXTphTw6nFnjgFc29Q12dqXRLhUNCBl7U+vp+dtGD/mXtMxSIDvist2xufPI71Kp5AU2+D7Z2iFNcaTV21Dtz8ncMur7VbRRi8l4P9jOaFlTpMLIphwbDIh7YnY5nZlbbM59MAojzWjSRos7/P2Kh77/muCYhwoOm4rBBiY6kxvpy7snqUoGCUpwnxII7Euro+cXLPN0McFlEk5wumc5X0ISOU+6uXidr4Qeb5fmWpUXNih44fZpBi5p6g00bvl+fb4l3vXOt6k4OvxN9FlLkgvM4PkPNwUHtie/Xz2f9oEaQwMU+Pz0pDTQF3dO8XQblS50F+6Y6mrvOpMbHUAc/+t4VqXj+UQohs8sH4N8huSz2JncSH9uTFbrsFRLSLCBsAFdPnZ77ION6hcXL7GCE173uaLljv9CJRUb6k/MLndBFtxfVyDoOL6dCZtMkFE+xrP5tzi2l3EuvrhzigMuIDCQ8yXA2Jmwifal1anrsrF+PKvSE3CwAkX+Z2tiiwEcUrWB5yDPjQsCJe0c3qvIdriZaIBGxuPgdfakNKhuLTsTNtGXd09yue0wwPhgQwa1JrY4wAYXXl8qN1ixwctYxRFWcAy9KQw4wpM6aS4qttGuPSkNdOVsEu1Nq3MZWFIWjt/xBa0Z0uimwiljf796Pp2bt87qK67F4tDk4YPNqCILAo7TeSXU95upRgXAyzXpuMxm8G0D/tkgxz4AG/jdK06HVAMcytxAEREjjLRVW0fCJ6nO0GCGVrQME17GoS0rTqj4BVLij5DqzNxi6js6RnVN8Ur/62U8DjaugRaA8uP6VJd6w5adQhqNWlwDOfLKn59tTqAH44uH/EtaAg5NqSFVGpqKTDMqNLiBgANdqvA51CBrqIwpg4Ebb6wpoKfmr/YMKsoqDltQUayjXjFibG0MqjcOZW5Q4/5gG6FBjVAqo87kRtqXVkcfbMhwGcAyTaw0jKWxhYqQw5k1DtCnGWjaPIYKXYEgPXnjGjo6q8oTcKCxJIHF6ysLzTFobiltSW4limY8yv3aSoe/yYAHHGm3gQ5e76sfTTRGrA1u4Gdvar16fTXlBt8PzoxjK8MJcNwPgKM3tZ769se6MqjYXFN4myu7I139Iq394sJAxAYb8dkMpQTE+nNu3jrXcynrKD8vJ3PL1DouwQaO/NuCeoZSfbCC4+nCVaoLC8bOODGnXN0PgoxjWVWqewnv78jMaodKgRUceLwcFFWqJDjmw0d1aY7YFVLpIZUSMv7FCwuXugACbsPLNYDBbUyrOH9efjqvxOECY/sPVG7wb4Y/qN5gGNGa2J9eN5R6Q1Nh8H/gMoQcz960wuHGg8FJX16yyOWiwp+dyY2qegPVHQ+HFRxDegoDjvCkThJwaKNP/PLjzunpvBLVsAolD5eGhjZ62ptaTwczaunxnPV05dQMo+LAjngoFYcmD5cZNwZjJDPgMJDjicnGUB7M6L8tdoNM2TgYBYBUQciYFlLRoaWb7U2tN4DDK2ipV2BTBBga2JDHJN1RbHADDUQtW0ooQ1Gm/D2dV2LgBt9LW0pYLxUOpoT1MhzxnGRq2APptf2qpP+aYNQbGtyQHVkb5JCdUzQselIaqO/Xo4dVkNH7pvcbENim2DrzNmNCUx7I9gfVUZrqyCsOkJa++GRu2aDi/5yZW0wf1qar8A0VSlrqYgSpMrAotoka4MA6yud4MreMXlm60FVHZQBcbMdlvcS6isY1f75Vkkd7Uhoc7xV0UdHcPzQjiz97U+sN8JMgQ6ofbPC+KxA0ygYJNuR7UbqZsHF/6eE4cy64nA0veU6287TBDzQ8pZJJnrtN1dEdCNKVRyLV+Bu4Pd6v54qWm0ENCTS0/zicWUNdgaB67fn3cHJRQcCxN62OLv8ixrTp2BbJ9ovbo/3pG+niA9e7wKFs31CN+XZprguCaJ8MOPh5tL1L8F7jcynBF99DbhMY2MkioYWECfK7NMZtgOPZm1a43FfQ9YQH4qRKRKo8dsOxSfeL3UnNJsUqxqdAF5W2pH7FFn+X8SpaE1uM0a3F2JBuKhpcOJZV5QIFuN65eesccABLV6A/LpAGVjB+iOZKgq4nEpzsTNhE5wvWWl1zdib0ZyzRAI4GdPC/pXuMvDaaiwp/P1+w1nGNMd6HtkxTenAJA46hN4UBR3hSp1AKDjli1h0I0pXdzmCjclTHFosDX+psjNmM5/3pG+mlmxfTmbnFId1UtJgNMm4DujZgSlE0GkLF4zgzt5gut0Zb43FIQ0RCDumyYksvKiXkMiCnBjuk64oWBwMBhxfUkKBEU2bI/5QBRG1yfg1M/S0xVNBIVOHGr0fT/8veuwdXVWd536ceZgJCSyGjDG0jmMu55EpCkAQw4SJyiwmYQEASEpKcXEAdfXy1unV8bC0KBZU8SWcSk0lMBUkHaShobHhxYMCCllHHptQe0ML7qOAVRRAhOd293j9O1mbttdf67YPzvNMmz9lVu845++z7fX1+3/VdB7MLHceRt5Bz00ZTyU0ePFLDWJMKZ0tqOXxZ7Ye9k4stGbt0DCSVAQ/YpdZxet3tzCiBnpTyQVWl4OHYIvFeIu0bTQIu+cpoaVX0unIrX8zBHD1nuaGoBDgOZhdCb8MwI3iT/GF4ChWFunie8tQUbmyM1+imfgi3JbUcvnsnTyxfLHlwRKI04hCu1V8N5x+8RlQASGViOVxo8dnTNFr91XDxsUvVWDQYIgXZdD6bkisg1DnUBihMCgwOKlr9YXNGCVxwYCEpQCR4I3lh0X3WlVRp7Vs3ZQWO15FYBe8smuZID9JgRVsgCKfXxENHYpVjvnwf4jCqZMGeq1IGk4IDFWbtgSBsTq5wlG81KTjQs2P7xFIRwErz6EwMp5xIzwrpnrh3crGqruVqwFNlqda5IV0reKx3pJdY1wqFGhxKSF4aXFXQkFCnKjMoIMTzkas96PJw3XnAT5eN85VSU7D/strvGI6Ag17fXPnAIYMEGKhSY4Mh4H/xxgJr/0ggoqkfrEgqka6kSodyhY73WUWyCE44qJG27+XcPDFtBoc1emsdVU74tvP/UGkheWygIuZUaZqa6vL9w6Ntv6mfyd7JxY7hVMFBf0cBx8DsooAj2ond5QCO5v4Xwd6GYVYOr5SqwtUcJiUH93WgSoCtaWUQ2nOtWlEFX9qlqipSHryk5OAqAEkNQBUAB7ML4fxDV1vKgMtRc9Cgnac60ICEBsuRGJFKlVc4jMDfCDikUrSSz4cb4MB++8RSY4u3BjaoYiOSqhPS8aLH4UBWEYR+e7WVTsSVG0dy8tVj5RY4ailGbsai2yeWQmjHaCtw5N4lku+GlF+NL3jS9Yat0BcfuxLaA8FBBTgwx11q2dTuKRxo4H8S9OPqIykdBXspnQpVYxSmaiWMKdzYn7UEQnuudajCTOoNbmjsZixKz1FaeptWbcLfeycXw4fFk23+MJI3DN3feJ/nvyX/DUxdwJZfCiQkwCGBAh5stQWCVmlWzRfC5BdBA7ataWXWOJK6QhvW7KuxTCWldBMOMzBg05QaJtUKBRbvF2U5AIcEKej9oiel3JZiatpH2KAR6h5uu+9IgINO83llkiMdiEOmwabgQKUE3gfwfuMGZruSKuHl3DzYnFwhGoxSFQbOEw16TXCDXpdf1fpEZS2FjzgMPWj4eUCBY4uvBs7cPd52/ZpSTKgfhgRAGr21sCdzmWr6ieP0pJTbAKM2DoWIkiKkxXepgggHHzjumwtnOAAKpqjU94MUHJ9CAoQRuF94eocUwEvKho3xYSNQKa2DwgYtteSFqbfaIA732vi8MklUcPD5SMt4u2C6Lb2FKi44WOLbSdNLuIKFAg66rxBE0CoqvPrKsfmzHCoN/B+VLpiGQtNXmvphDP639vrbox4cA7CLAo5oJ3ZaFRWt9chq7Xo6xnrpQTkj73kgQh+w3OBSkoljRZW3C6bbXs559Q2TIkArG4vBrJbqYDIdfSn3Frj4+IiIAhNTQMJNAaXUFa4QkKofaGkr0jCPZ4iaXqKpQPh8+PKkspmaasNUJcXNHFaCG7xiyoV1I1W4EUllClwmDxx5q3ikgKMnpRz6mmJgT+Yyq7Wc+z24wQ2t9Y0GLs39wcjJknRo9VcPKsBBAwgNYmhgQ/PZkEAeB3P8XDadtxLc4CWMHaaiPSPgQFaReF5KijDuC6MBjkir+9DrdmtaGfT+PkksX8w9enjrsqTgoEo+/N0eCELvSxOhPSCnL9AUFR4c0+E0naInpdxSF/B0Cw1m0GXi+F/fEQebkyscQZv0TJSeke8VZjtatDVYQxUcpkYFqo6QtunsveOse4EEGniQ2hYIwqnSNCs9iO8zPh0es2/vuc72rOfL4ut58fERqgIAt2swKTioyeiJ/Byr3Kuk2uCgozOxCi6+kgGbGOCQUlXw+8XHR9jSGinM4CkrbQFnBRWePkYBx5sLZzjOHd7IhaopPMYI7HjqB4UM3JODw4m2QFBUZVAwcnH9TxxpMPxa+uO82da61LPpcdznJt0m+k9QRcnB7ELH9NSDA9MwOLzA77gOPMCXlsdVHfi7LRB0pHDUJ9TZQIKkwEC1AwUcfB4vTL3Vth5S6oikTGlIqIPTdV5r2yQoInlrSOCCw5VtaSsdqSd0GQ392y6l+XwRDNjUIfQ7prYg5KAeHd0pq2wKjqgHx8DsooAj2okdBRxcRioBjrZAOM80tH0UdCovShRyYH60JB+nOaVcxYFBx7a0lfD98dmwI73EkapCAxD6Ms9TVSQ/B7fgWQMcmAJxePoiOHvvuIjSVdyqcvCUFV75QApUKPDh+4VKz7kfhsczxAEspDQTzYtA6umx4IoNqUIKV22Yjo/Jb4P6FezPWgLfP3IVHMwujAhuSIGj6fjw9BTqnWICHDvSS6C3YZgtcOQt4zxglHKrJbBBFR1tgSB8XpkEHYlV0OwbvDnuNNiWYAd6RdDgXFJt8OuCG+KafGIkuMHNjE3KjedvKIaLj11pMyyWTEXd1EX8HMX10oxFTeaiL+XeAi/n5jkq/EgKIxqISQCbekNw9cY7i6Y5gmUOODCXnkIB2nJLA/bQ004/CZMCURrWFghC6JlhVt46XSYHFHTaRvJs7GscagMxfJ25NwF/zmqgw6SU6EqqVFUYHFzgMfn2nuscgMMEOzoSq2BP5jI19YUOw2N/aNpi8X+6LYPx/tSZWAWhZ4ZZgEODHDx97vxDV1uKjDZlOkzp7Uisgq/viBPVHpqyavvEUqOCA3u8b0rHi362+qvhVGmaNaw+wQ4zOKDQUldoSgNXW3AQ2OSthd4nr7BdXxxeNHlr4fyD1ziACp//8QUz1dSR+v759KSUO9I7MEWloX8eCEnotuB8Wv3VIvzQVBuoPkBlAgcHfBitkMJVHQ0JdXCyJN0GiDis2JWxIqKUFAlWnL13nMOnA8dt8dVY3iWSUoUrNyjQoCVipRQVClV4CdhTpWk2ZQb9/7OKZIf5KPYUcESrqAzcLgo4op3YcQWH1kLFH3Cbkyvg+IKZDj8A3oLHW561PFTaYkgDkp6Ucnj+hmLorR+mqjgkBYdJxcGVHNhT9QVvUeWwAyHHmbvHi0oOLZCmrbDUxJIH0pI/hxRQa4G1BiIQcGh+HhSOSP/xZXHDQp5ew0GN5JPC04gkdY2ppO/+rCVw5q4J8MLUW109N7RjQo8LNxZ1q5giHQPc/tBvRsJzk26zTBslU1fNUFRTcfCABF9OQ11DrXEHUwvpI3GFIuCQ/CH4/UNKf5PUSJoqjKZSSSlVXGkkGYo6lBvdwy24we81tOfnphsgjRRu8Gt9W9pKCO0a41Bv8H3sBuA4hOP3/9DvxlqpjVLaBQIOqdVY+o7Bmxaga4EaV3BsTq6wgnj8j7ZK43cOL+h6HF8w0wY0NOWHyX9D8vaQ1CcIN6hRKwUZkiIDGxvO3T8W2gJBEYhQ3wz8fWjaYivo1RQcXPGB89cC5MEGOFDBsSm5AkLPDLOOjem+jv2m5Ar4ePkkFRpKqSpvF0x3XINuy6HvYPxZgr93ZpTYUpfw+uDXEcJ0DucoeOBQgwbfkrKC+2XQFBLsz953LTT3B9AcomDqzJfVfnUdsH9n0TTHcp+IW22brtlXYwMDqODA6/frO+JsHhxU/bExfjV0JVWKYINWG5FUDVxpQSEGnXZLarkFEiRlyFe1Ptv/FNZI26epNjj8qe9XcGgeHD0p5SKgkLaVw45taSutcWiJV7oNdBoEFhvjL8ERXi0F1R3ceBT7g9mFsD52Day7/tKwKOAYeF0UcEQ7seMeHNLLHG9hwodcX3OMTcVBX7AuB27QllguI9+cHC4bG+oaCrszl6tpAKaqKpq/g1RVhUKOSJQcL95YAL1PXmGDHJpZIBqPcsjBzUd5Lj1XdvASuRLw4IE3fno8QxyGpfR/Di74OFyZoSk1NNiEnxJsiqTlm7d4H8wuhIuPXWkpN+gxoONhWV96fClIMZmKSsoaU8Ub3Ff7piyF9wqzrbx3npbSyc59KTVFCho53GgLBOHD4snQnbLKClIGUwDxSFyhaBTKUyhMQENSa0hpVaZUKrfyxZEoji4+dqUjLcXNd0OCGzx1SvOG0crCUo+Yvsah8Nyk2xypKVzBIQVR2Lewez99BqAS4LU5cx3BLw18aYqKBAB4YL0/a4nDzJIG3Y1sWgmStPhq4O2C6bA5ucIKnjic4GoOBCA4/5Ml6dCR6Ky+IjUY0Ocr/c73Bw0uJeXEH+fNdmw7HZ+CD1S7vH7zHMscUktJ4fND/waTIoP+d3zBTBFw8H4wAdiHY4ugIzGcXvtpeYrDH0MCD3hNoUeTdH21s/ERiBydPU9VUPHpulNWiYBcSnv8qtbn8Gbh5zQCvT2Zy2xQjvpZcAWGlnripvSg823x1cCn5SkqvMDlvJyb51BwNLD5HcnJt82bKkloegnOE4N3TFFp8tZCaMdom3KDqyg+WpZpAxQUCJiMRfE/mt7Cp9sYv9qmMOFgoqFfZcGVJRRY0P3H14HOl6tYGhLC1WE0/w9M7ZHSTDjsoABkQ9xqeG3OXBF8oFcGAg4+Tn1CHWxNK7NtB1VrHJs/y6bQoJDjnUXTrNQU/IwCjoHXRQFHtBM7Cji0l0tN1rszowQ+WZFhDL40w9F29qDnhqMdJEDpTlkFuzJWQGjvONg+sVQNKKXgWlILoJycgg63wERSDWD/wtRb4ftHroo4LUIqR0oDF5OxpZTCQoNtWlZXghwezxBHKgn2Euzg33kgaAoKaalKk5JGK9/LIREv4Xto2mIItcU49jvCJ5P0nx4D9N6gcEOCTCb1Bt9PuzJWwLn3C2FHeokVVPOgXPM0MCk3pGutPRCE3oZhVlrAYAsg1hLAYSprLJnrSmlapio/UjqVpjiSjHCl0tNohBvqHCqWmY7E9FYCHBKAk85Teh1zxcpzk26D3ievsNQbmgEuvVdLkIMDDdp3JVVa3g8cNlAI4fEMsf3mrchc8XFh3UjLf4JDAgmISLCj1V8Noc6htqBcAisUWlAI0uKrge8fucoCKly1QUEIhx5SI4K0vnx4WyAI5+4f69jXHDbQRodWf7WV2iBNx+EIQpELa0dZvyVAxI/J2wXTVehEpx1MABYBx86McBqt5J+hpaqcLEmHrqRKR7qJBjjQjFRTVPH+88ok9TlC1bZtgaBYXUe6ljYnVzjSuaQUFZoWwqEE/W9TcoUKQvD6aAsEYd+UpdY1xXsED9vSVjogC19+V1KlY31oEN8WCIoeIDRF5bU5cx0KEDqP0DPDxOGa3wVXO3QkVonqB5z++IKZjvnhPBu9tbY0Eq7SQFhAh0mKDKokweGN3lrYklrumB7/35lxyRiVrxf3wOCg4+2C6bb/aArKoWmLLdhEAQaue6O3VlR3PBG3Gt5cOMOh6kCgcXj6oijgGARdFHBEO7HjHhz85Yy/5HFZfN/+WEsCKcmTee4nzQ2lD3PNFBADlp6Ucvj6jjh4/eY5aovkD1FySBUPpCDFpOSwSsg2DLP5P2jScyk1gldZoeunqTrotnH1hOTZsSX1EuCgrbuSNF9K/+EgQwMb6AfAYQ1t9b4c5QaqL+j+fzk3D0Ldw23VbCSwZPI1iKRlnO5nCXBIsG1Lajmcu38s7J1cbKk3eHqKm68B9TKQrit6Hb54YwFsTq6wAovBBjjWxd0qVj6RzHJNMCPS6j70fiGdx5GUL+bnb99TMVZainRuRloOFu8HpnQ2t3PUlpqyYzRsn1jqAHBuZYs55ODBEz1f2/sDcuqRIYEEnqJCgyuqokBFCKa7aC3O0nLocExP2Tdlqe3a4S3WkqoR/2v1V8Mf5812gBD+LG31Vzt8OLTGBAlqcLXEc5NuU9Ub/BMhaN9T4fLufBrpOwa9GCBL6g6+Xq3+ajhz93hRvcED5cEEODCF7uy940T/Del6wfP34vqfiHBbU3yghwr302gn1yGdxwdLphjTUujvD5ZMccBE6Xo8vSbeOp+5x4UEHqSUFBo8v5WXa4MSkh8HPgfpf/x6wutMSkuhw9oDQXH98PfrN89xpNc0emttKSrP31DsGIcqJRAwcCWEBDckP44DWUUOdQb9jsaZkl9Go7cWtqaVqR4c3SmrVKDBU274cIS6G+Kc09Un1MGHxZPFbaTAg6ow6PCtaWWO+eL0HxZPtqlNKPzAdeVpKPgdVRoUbmA1lWPzZ9mqqETLxA7MLgo4op3YSVVUeCuT9DKKL0AYYEqBl0nBgQ95+mDnknMKODYnhw1He3+fZLWUmOCGVs7RJDGnLfomyMFBB4UcfYcC8OKNBaqKQwq0JRm65AVBg2/aqqyZkkrDPZ4hYilaSf2C33dmlIh+Gtr+pUoNDpNMrd4m5Qwaie7PWgKfrMiAi+t/IpqJaoavkcj+I1VvmIwbt6SGW8VDvxsLW9PKbOoNE+RwS0/RWsfbA+FUMRq4NPtqBh3g4OWMecqJ5hmjpbO53S/cFBva+cvPYa1aiklZJJWYlhRekrpLS0/hnjtbUsvh8PRF8O7iqZbnjla6mIIOHkxpyiJ63z82f5ZliKkpASjgkBSDdNwWX7hSB6ou6HDpuwY42gLhErObkitsAbsEHmh6CX0u7s5cblOmSOBC8uWIBMLwfYD7b3N/EK15bfB7BPpvvH7zHEfFGQ2gtPqrrfuWBD+k6Vr91fBybl5EQfJgAhwPxxZBZ2IVfPfAGDE9RVNzdBJgIaXvcrVHR2IVnPv5T41qP94fmrbYtkwNcrT3KyS4+kZ677uwdpSlWKJQwuR7QX9zgHHmrgkiFMHfTd5a2JWxAlp8Ncb0Eyw/zefP5yWBl3q2PlIKDQIOvD7odDTIb0ios0xAeWoJTwWRVBxPxK2Gt/JyRfCB399cOMOhzsB5NvaDHu6Pgb+P5OSrqTU8VYbPG88Vnp6C/TuLponryyubcPDBYQgf70R+jm1e1ES0vV9xw+EG/t+ZWGX7j6aqfLIiIwo4BkEXBRzRTuy4Bwd/qeMvW9yLoz0QhNBvRloveZKEnud7ap4ctNWQgg58+e5OWQW7M5dDX+NQWyqGSWrOq6q4eXLQwIUGHDQI4T4PFHIcyCqC0LNXwruLp6opK6YSkLwUJIcDvCWZBjk02NEMPhFwSD4ZUrCngQwNariZutJ9HClMomkpF9aOgiM5+UawoXmgSIaiboaNFCCZTBtpasrFo1mwM+NSaooUOHLjRu0FVQMbeI29OnMB9KSUO1qxBxXgiF9sTDXhVVCk1DWTx4YJbEggVLtHcLjxwtRbIdQ1NKKUFOkcle4B/DrjJYtx2yTlBt1HuzJWQN+BeAvCuYEN2mpM7+N4Hkrnaqu/2qoSQQEcDXipUoF6cEjBP4V6L95YoKY/8E/te0diFYS2j7KBnWcT2wAAIABJREFUEg4mTGqLFl8NnH/wGgumUIDh5uUh+XpI6y7BhLfycsUUE35voLDi9ZvnWCovDVDw+ZzIz7H5b5gUHJiK1MGAiHY8BtP96ZG4QticXAG9T14hVkPh6SbYd6esgrfycl1TTXDazsQq+LQ8RQQgkkoE36ncUh1RjUuVOtq52OKrge8eGAPNvhobMNBUHFKqB4cdeycXq//jMs79/KfWemjz+bB4sgU46DgUeKDCQ1on/P7JigyHfwVVcCDcQU8KOh7+RgggpZBIPhJc5fBpeYqo3sDPZl+NChnwmpXUGxvjV8O+KUutdA8JZEjgA+ezNa3MOvZ83vUJ4fK6ku8G77niQoMc+P3Lar86zqFpi0VlCF0WNRalKSrvLp5q8+RYd300RWUgdlHAEe3ETlJwSKCDPvhoS0xbIAhvzL0J9k4utuV0SkoOyYODD5M8Oag8HVNV9mctMRphSvn0UhUEHsDQyioS4NA8Obg3x5sLZ0DfUzFwMLvQMY5b3r0kTTcBD8lsUIIe2yeWgsczxNHiK32XhvH5a8GgqSSvSbWhmYnum7LUChZ5GVg+ngQ2JN8NGqxqyg03Q1faIt6dsgq2TyyF3pcmwsu5eZaniVQ5RZP9c8m/FjRS6X/o2Sut1lwaVPxiEAUQj/UDDk2hsXdysQo5tTSUSBVeJtWRSX10Ij8Hzt47znZOaulqbp4b1ISYp6ZoXjym1JStaWXQ+9JEm7EoN7/VvDawFbid3evpedpMzk80vzWBCOypggMDFf7MafHVwLa0lWKgLnlKSOAC129LajnsnVxsTHExqS8w2OPj0kBPS0ORoIkEYbhCpcVXA71PXmFUVfD9gF4aaAhOW+k1NUervxq+vec6x36m68L3PRqMSgCFvjMMRsCB9w8T1KAqqM7EKnj+hmILCvHxOQxBT7Id6SWOZwZ/buDvrqRKx7NEU9i+lHuLDYppCiO8ppu8ckoKV1WYUlZo+gkfh6eHhTqHWnCDe2vgddTXHGP7jwIHHO+9wmxrHBq803F2Zy53gA8KOLCCCQcHuEw8z7nvhiklhcOQw9MXOQABTcmg60+VIfUJdbAzowSa+gGMBDg+Xj7JuA50ffk89mQuE5UruOyupEoHhKDj0NQSul1022k6CQ47c9cEhzcHzvtUaZoIMShIeZTBDUxR6Uyssn5jH1VwDLwuCjiindhJCg4JcPAXMfpi09nfEtZJWgE0yMFBBzfk4nCDQg6aqtJ3IN5mOCqZBpoCGk2CzltoeQAjlY+VvDksE8xnhsGLNxbYFAdaDn4kig5JdaClsnAJ+470EvB4hjhk7dJvN5jBK6FwoCFJ+fk2auCIAov9WUvg/aIsOHvvOCsdCr0M3Hw3IgkeTaauWkqK5AGzJbUc3lk0DY7Ongfb0lZGBDc46KAvpxxuSAHk2wXTrTKZPDgbbIBDUmdEYoLrlrKm3Qu4CbEG5yS/mDN3j4dPVmTYKvdEAjdMaSncF4anpNAUMwlsUAB8IKsIPl4+SfSHwUDKJJePVF3UlVQJZ+8dZ6n7JIBA1QwezxDHODwAbwuEDXWloFuS1GsKglZ/tVWeUwrqOIDg35u8tVaFCmka3nMliAl+SNuBfUdiFezOXC6CHO13eyAIoe7htiBXU21wKCKpPCjkoN8xdcEEsQajgmNtXCGEuoZaBqNa4w2FEp2JVXDm7vEiTNQafnZnLndcm9L42O/MKFG9N/h72pm7x4vqDXp9NvvCKp3D0xdZw6XUEwoZEEpISgl6DdD0Dv7Z7KuBD5ZMcSwTAcbG+LBx5psLZ4jrQJf5cm6eMT2FghWa8tGQcKmKyncPjHEoGGjAT7eZKzO4t4RUTQQVIxQy8PQW7nFB1+PFGwusfUp7HO+LYEAELpjmoc2/PqEOjs6e59huugw8PlyVwbedqyxQkSKls2yMXw0fLJkientsjA+n81D4QeeL+4GaiD5KQEh3yioH4PiHa6OAY6B1UcAR7cSOKziw5Yz30ksKVXHszlxutQLwoIzLInkrIA/2OOCQIMeO9BIItceIqSocckjeETxoj6S1VgIdPLiWUlbO3T8Wzt53LRzIKrIpD3jww1NhaFlZKbVC8uuQehq8eTxDHMMosODKD81LQ1K+mBQbmpRfA0XoaRJ69ko4NG2xTbXBTVxNwMi030ypKbR1HM8j9Njg6o2elHLYmVECvUdSrPPxctQb1NNAkhNLwWNbIAjfP3KVlSNPA42GhLpBFUA8nlAgXuOSp4ZmfmsCnG73AA43pHuBVSnl6Rib3waHotI1ToGmdn5G4gsjATiudtk+sRT6DgUsY1GtYorktyHl8Zv8N47Onmf5W3AIIT1TpCoqPHDHkpomdYAGCJq8tVZgh34GHGxIQF9TW5x/6GrH9mhARGo04OupeXPQbX1lxkJbGogGK+h9oz0QhIPZhQ5IaoIiHYlVVuobDXx5ENxMlvftPdepIIvvp8HkwbEu7lYIPXuloxqKlmqCgKOvcagIRNrJ9YbwoyOxyrrf83lrHmdb08rEdEd+3bb1qzK4Coifl82+GjiQVWRdf1ylwVNLsDfBC0wZ4aCBApBWf9jIl6pG6Dxx/V6ZsdDm0cEVHA0JdXBo2mJHUI4qEQzQKbygnwg4QttHWctAMIDjtfhqbCVLUUFAv1MVA1Ui4HcKR3hqCwUoPNDH//84b7ZDhUG39blJtzmUF1qaCt2PG+PD5qZSegpVltDt4ZBHSj/ZELcatqWttCk4eDrKe4XZNghDp32/KEuc5/rYNbZqNI/2zxfhBi6Pwo1oisrA7KKAI9qJHT6k/3HCEsdLFt74JaLPX8DaA0EIbR9lvXxpkAMfqFzuzOWY+BIgVVbZ1P+y/sqMhfB+UZbDSM/NSJCXgJSCHM0nQioBSQNzrZTswexCCO25Fl7KvUX05uDzpMEQl8S7pbHQ4IintXg8QxzKCwQbmiloJCoNvr9MPiZuPhv7s5bAZxXJ0NswzAaFpAo1GuSgx0ry3DApN6TWfy1wtILGF7zw/A3hVAk0wuSSf820UXtZlVrG6QvpltRym9ycXpODDXDwAJ6WRY4k/YSnaklpVdq5bEpHwfP4gyVT4OLjI2znJpY65nAjkkopEtzQwIZUNUVKUdmWtlL0h6H3VzfTW35u4vnHYVxHYrhChNT6r/XcZFSCHFgaFoMx2rqszVcKyHEfaJCBqyzosjDQR8CB/3GYwVUa0ndTigrfb63+ajhd5xVTUrTPVn/Y+JOWh5XABr/HHF8w03o+a8eQ7ou2QNDan5Ec7/UJiwbN/emx+MXw7T3XWQpWLR2XXlObkivgq1qfWFKWww58Xpz7+U+N/h5cAbgtbaUINnAYPXZ7MpepSh08Zi2+Gvj+4dHQws53CWpQMKApNLBlvp5Nx/03cL1p+gofr9lXA90pq2yAgytHGr2XSpxK/hSN3lrYlFyhpq9gisqp0jQHgKAw5N3FUx0pJxxycGUD/a/JWyv+j7/Rc4JDiSfiwiCi98krVPXGxvjVsHdysTit5sFB01++CAYs/w6+bp2JVTblCZ2H5jeC/da0Mms8yZCUenvw9JWvan22/2iayr4pSx1pKxRw0JSVaIrKwO2igCPaiR0vE0uhhtSSJbVC4UOyJ6Ucztw1QU1ToXCDyyWpFFPz4sDWxq6kSistoG9/LOzOXC6+0P+Qagk/BHLQllopVQX7A1lF8NGyTLiwdpQtcHeruCK19kp+EjxQwtKzGDQ9N+k28HiGiIGUBko0iKGpXHg6Ci+Z6VYl5dWZC6Bvfyy8MPVWh2KDAyQ32T/dJ1TyL1WjkIJHet7woBGVG1vTyuDC2lGwb8pSVfLP0600yT+9NjS4gYZwF9aOsnlv8IBuMLWQPu4tcEAn7j+hpZ5woKGlVuE1QM9n/G0yEn3+hmIIPR0DL+XeYrx+3TxhtApKl6PckNJSaNWU03VeOJKTb0E46r3Ryc5NCWpw9YYJwGG1BxowSSka2BJMAQcdnwbRtDSsKeCmwEEKslv91RB6Zhi0BYK2+UvwgT4T6fMQvRA0xSPdRgloRKqO5GDmdJ3Xtu0UWuB28PvFdw+MsarYcJ8FCYhgIIv7R2rZ55Dk9ZvnWONzBQDfniZvLRxYGBg096cnfWGFmQQptDSv7pRV8NqcueqzgE/flVRpMySVIAiHHPjJG5r4cwbhlwQ26GervxpC20c51BsS5ODQgqeoIHDYmVGiKj9w3rsyVljXGYcTOB4CGy39BP0hpNQVCmP+MGu+A05gcI/3p+0TS20qC/79mztjVcCg+UjQcdoCQWvbqOIDx9uduVwEErgfv7kz1uHNQSEOTV/hKgtJ1UEBztl7x1kAiAMeVEvQ5UrKDQlg0EonEsSgChtuIHp6Tbwj5QXn8erMBQ6wgd8RJPHUlSjgGHhdFHBEO7FzMxmVXu4kKS2qOPoOBayXUP5gpfJ608OcKzm4ggNbyLFVsvelibAjvcQBOCQ/Di0fX8vD1yTql2s+SoHHwexCCHUPh9N1XtUwUwIoUuuvBDw08LE7czl4PEMcQb/bd7d9wD0JNAm/to+sErtPxcCn5SkW/DF5bfD5oVJDCxxpIMvhBq8YE4lhI6arfLQsE87cNcGCG6aSsDwVi8uR6Uun5HGA450qS7UCFq21bTApOOp9+Y6qP9wEV4MZmteOlooiQToJ1O2bshQ+Xj4Jzj90tbFKCv7WPHYk+EbPUdwmfo5ybxh6r+PVZbpTVsGezGXQ1zgUtqTaz1NNXWRSGElmhTQ47kysgmPzZ7n6MfBniqbgwOsh9C/jrYCNqzckVYIEPVp8NbAltRzeLpiuwkG+ftw/o9lXA31NMdDqrxZBBW8o0LaXp21E0ogQiUEoHY6pEHQ6Cjma2TzwOH5Z7VfVG9I+P1WWapunBDXo9j8Wv3jQ3J/+sGakmDrC7/M2Ncb9Y2FTcoX4DiQN60kpj8ivA8+R3ZnLRYUHfb7gsf5kRYZ1XmhQsMkbTu86d/9YUbEkGYlSnww+DIdvTSsTU1coHPz+kassqMLVFTjNnsxlFuCgy6Xfd2cud/hz0HltjF8N5x+8xmEgivNEj6C2QFBN68A0GK5+4GoHqXIIjrcrY4Vt/hig43rQqjN8HeoT6uBEfo7tfwoxMIVVmlZTcOB8m7y1VooKV61sjF8N+7OW2KanoEHbfoQ3n5anqPuEAhUOQDbErYYXbyywoAUdvj52DbxXmG0zH6Uwo9Fb6xgWVXAMzC4KOKKd2FHAQV+4pJYlDjj4gxBfqD6vTFK9AzSzUenFgKs4qJKDQo5dGSsgtOda2Ja20vaCT1/6aclIHijRQEhr4XXLw3eDHFyNcCCrCF6Yeiv0PRUDJ0vSraBeghxaZRDNnNTUezxDRENDt14CKhLc4OtnMhDF/fDNnbFw5q4JjgopUglYzW9DgxuackNrFTfBDX4ePTfpNgj9ZqRVapO3ivNzN9LUFCm9C393JlbBdw+McQQf/DodTCaj9b78iCr68DLFWrrV5aaicN+dg9mFEPrt1XB4+iKx/LOmKIo0NYUrizTTW35/03w3dqRf8ofhVVMwRYWri6RzEwOjZp8zJYUGTufuHwvtgaAYJEnPEgQPJsCBFSRQGSCpOHjgJc2nxRc2LOxKqhQBg0nBgf+1BYLwwZIpquJDAhZ8GTx9ha67BFxafDXw6swFxtQU3tre6q+GnpRyK1VBS2Wh0+IzfEuq039Dg0mt/mo4/+A14r1I+t3sq4Gn0+YMmvvTa//4N2p5WO5dg6m33z0wxuHHJDX2tBEgQqvgaApAXN43d8Y60lO4shav2U/LUxyQSzp+eL+gEI9eI5LPhqbewICZp5twYNLkrYUzd00QIQqFD98/PFochwKRIzn5YhoMhSFHcvJt/1Plg8czxHru0sBbGldSRvB0DQ4/cLzQs1eq49Un1MHrN89xAANcXpM3XP6aAhe67B3pJSrcMCk4nogLb1dXUqVD2YHr+cLUWx0pLRLU4Kar62PXwCszFjqUG9h3JFY59iUdBxUtFHKg38ap0jRrGbQULC6TqzfWXR81GR2IXRRwRDuxo4BDatHilF4CHPSlpy1g9wdwS1PhKSpucIOXje1KqoQtqeVwaNpiOHvvOOvFn1ddkMwIaWDrVl1FSslwqwjCq4FwHwn8fWjaYug9kgInS9Id/7sZaWqgQ4IeezKXWYCDt1JLahA0OeXeAZpkXzJh1RQbh6YthtDTMXDu5z+1wAZPR9FSd7BFXAoa3ST/1G+FHnOtZZxCDWoq+tyk2+D8ifmwfWKpDW5QnxjuZ2BKS+Evo/yawesE87B5MEF/N3oHl4Ljf/tvEU1Bte889cTNL0YCG5qh8Nl7x8E3d8aqSitJbSWBjd2Zy10Nb3m1FK1sMfeEoYADFW67MlY4IBz33uDnJ4dukp8Sh9ebkivglRkL1VZgrW8WAAcObwsE4WRJuqje0IIxqn6g43ckVkFox2hrvTV1hQlyvJR7iwVwpGcjbX02KTj4evNhNOhs9VdDaNcY2z7g4KZZOB7vLJpmU1Rqqg+q3jg8fZHtHqPBEDrN3snF6v1IOj4PXV80aO5Pvy+63gauNYBN000+Xj7JNTUFh3UkVsHXd8SpPh182rZAWPGhQXT+LvbBkik29YZ27Oh5z2EET/2QAANPW6HXC/8Phzf7auCdRdNsy8HgmV5PZ++71ua/geNTBQmmn0ipF7h8NCGlAT714OhJKbdtJ1c7cNUEBuNc2YCBuKTu+LQ8xZHWQselpVjp8hoS6qxjKwGKJ+JWw/M3FDu2XVJvSGAG97U2zWtz5trgAwcoHGDQNJP2QNC2D6jRKJq2SuqNJ+JWW8BJSlP5IhiwIAZNU1kfuwbeWTTNoeBYHxs1GR2IXRRwRDux4ykqvOcpKlorE30RQoM5fEni8lcpF1SSZ0opK7wqBcqte1LK4ePlk+BEfo6jVCJXc3BzPq11WIMcNEhxC4q0lBU+7EBWUThNY38s9D55hS3oN6VoaLn+Us7/3snF4PEMcQANExyRYAr/zddHU2wcyCqC1+bMhdCO0fBZRbLqQ2KCO3ydJONVLWg0tYxLFVMkU1H8P7TnWtiduRy6U1bZfDckTwMJdEgvn5Lkn143r8xYCPumLHWYBfLgaLABjgZ/nlohSDPGNVX1MRnhSuqj/VlLoK85Br695zqjKTCHfFJKihvYMHnCROK5sYnAjZ6Ucjh77zjYN2WpdZ7Sc7RDOUc16Calo9D0iY7EKgj1jLBUHhyAa0oH/J+WiaXPlI7EKji+YKYamPPxpRRKVCfsz1piqRM0AKH1OI8L60ZCi7A9HGzw39KzU1pPCV5i0Mr/44oOCkTaAuHysNSrR4IVtEc1Bk9jkdYNl/dybp5jPFP//A3Fg+r+9KSvwHFf5w039Dsq/njlOA2IdCZWwYn8HDHdRVvGpuQKh6kovWbpOm5NK3OodaT3u4uPj7CuG6q4kFQTmmqDjvvcpNscaS18nPZAEF7KvcW2PD5Ok7cWDmYXihCFDvtkRYYNuPBPnBcHAwhMPJ4hVgoL9d2ggX57IOhQTUhpKpKCAr+39Afs0vQb4y+ZkHIFRX1CHexIL4FmXw3UJ9RZaS0UZpzIz4GGhEt+IVIKCU89wX5TcgU0emvV7Tq+YKZDmcHVGNyTAz/Rb4QDiifiLpmi0tQTmraD/9HhCDSOzZ9lgxo43qOxa+DFGwvEFJUo4Bh4XRRwRDuxw4f0L4gHhxQ0adBDghyt/mo4mF0Ib+XlOl6IJU8BrSWC+3CYlBybkitga1oZhNpjrBf6y/HjoOVjKeigwQcGSvTzh/hyYCoKH4bfD2YXwoW1o+DiY1fCR8syHX4UmqIDv++bslQFER7PEEcgJgEMDZRo/hcStKHbc+bu8RBqj4EjOfk2j41I0lA0DxLNcFXyM8BKMTx4pKCLB48clOGwi4+PgF0ZK2xww5SeorW8acGklNrVkVgFfU0xVvDIW375NTuYUlQQcJjSTSSTXAoyIlFrcI+NA1lFEGqPga9qfa4mwJpig68DvX9o1VK45wav5sPTpahajcKN1+bMhbcLpjsgnAQ3NKm8FCBxwIH/nSpNg839ZWF5gC49R/jzgyo4aBB97uc/tZYnBfYaJODD2wJB6DsQb1NfaICDqzFwGAaokQARaX7SMiXlA+/3Zy1xKDVMKg4MkN8rzHbAKA466L1mU3IFfPfAGCME4cs9VZqmji8di3cWTRtUgGNd3K2q3wa/x3ckVsHpNfEOs2lTqi5CSxPckNQb/P1KSn3cmlbmAGDStdoWCEKoa6gNcFD1BVVOICzA75KhZ0NCHRybP8sIQRr7rzeEiZLHB0IQDL75fCi8OFmS7lgPGvy3+qsdihOqAPF4hsC391xnmwdXOWA1EA4vuCJDSjHB/xFAcLCBAT1dNgcYb8y9yYI0XGmxIW41nCpLtc1vA1sGBzN0+1+YeqvDG4SuI3qPcKDBlycpODj0QBixMX41vDH3JgfgwPE7WfoKwo31sWtgY3y4/CwFHo8S2LEzo8T6HfXgGNhdFHBEO7HjZWLxhcT0UqbBD/pS2tkvBabl6SRJM2+xkF4QOOTAF3ReVQUl2RePZsGujBWO8rFaZRUOOrgnx+WUk9R8KbjUnQf0vOqKLZXjd2Oh98kr4MPiyQ4DTq6UkCAIBxyabwAfV+s1GMFNQ7+5MxZCu8bAN3fGwsHsQlGxoSlbtGBSM1WNpFU8Us8NqXUc4ca5+8fC4emLHHCDG4ryXnoRla4BKaWr1V8NF9aOsoxF+TUqBWeDKYBoDOQZSxRrprmSB42bWun5G4rh0LTF0PeCF757YIx1nUkpKJJKypQyJfnB8NQbnpYiKTe085OmpuzMKIGL639iq5jCz01TRR+TkkO6l3f2AzjqDcOfC1y1gZ8IzGkVFdrS/OKNBWIApi1HAx09KeWwK2OF7RriAIOrMfg6o7+UBkC056X07IxEDYmf1CeBrj8HHPSYvDZnLnQlVTrUGFKqCn5Hs2Rpf2twBI0nTXAJ90uzrwYOT180qO5Pj8QVOq4XCWxgesrFx650gG+qYuXTYjlZE9ign4enLxKfMfy50hYIG1bT80M6hxFiHps/y3bNUBUFV3RIgIGP98GSKa7jfLQs07FMugyEL3Qcqh7B1A0892jAztUbb+XlOiAJhQcezxD4rCLZNn/8H3+fve9aR5BPQYMENCgE4OvF59Pqr1anaUiog3cWTXMoS+j2vDZnrppiwj/59r1flGXNm/t4NCTUwebkCsd2SSk4XL2B86SKjw1k3b8IBsTUlA1xq63tkUxG8fzlqSnY75uyFNZdH/bdeLTff2Pd9VEFx0DsooAj2okdT1FxC5xML3L8has9EIQLa0dZDyBJ4iylrGitiRxySH4cm5MrYPvEUgj9ZiRsn1jqyE+X/DgkyEHTVniuvwQ5pGBKauXFAJ4GTFK1EG5QejC7MGxK2jgU+prCcnkTNODpIfjp8QxxBSJuYIMug5bAPZKTD989MAZCbTFwqizVSrOh62gqjUvXU1NumKpQaH4bHG64VaOg58omAjc+WpZp+byY4AaXH0cCNky+Bs9Nug1O5OdYL6JSEMev0Z9fVzzgH9J4b2oKLHQFGhwmSLBRA4+oQDqRnwN9B+Lh3cVTXc1DNd8bulzNRFSDbzxlSoMbvFIKTU2xTJf3XjpPO9k9U1NtuKWmSHCjxRc2AA31jLCCaR7k8lQU/nzB4ZiiQp8hXwQDtuCMQvTLgR0tvho4/9DVVtokf36Z1BcYILX4aiDUHmOb3qQCkVQc/HrV0mnodrb6q2Fb2koHXOCwgv5uCwSh76kYaCfgVFNgUNUHevxIKSp0H9PlbE6uUOFGizC82VczqADHw7FFItTgwKMjsQq6U1bBqdI0seqKpGBtDwTh/ENXq88T6ROvGVOKGR7vzyuTbOeA1oCF6yuBDSm1hKsouM8GzlNLa8FxQp1DoYlABz6fRm8tvFeYbQEOniqDy0YVCAbjkkLj3cVTbXCBLhNTVF7KvcWCIFzxUJ9QB989MMaYnqKlneD0CGE06NDZbyCKUIDCiIaEcBlXmj5Dx61PqIO2wKUKMHR6ruSQVCVf3xFnS7/BfYnzpmBFSkWRfDIwPYWvB027Ob0m3jYtTTVBw1U+fEPcJa8SDjhQzdGRWGWpOmgfNRkdeF0UcEQ7saMKDukFVHrgaS1U9CUHgcYfZs2H12+eowZvPNjT8lclVQcGkzxFYHNyBexIL4G+/bGwLW2laDoaScoK9+SQqqzw1mQpXUVSckheFW4+HRQmHJ6+CE6VpkGoezj0HQrAZxXJcHj6IiNIQMBhWo4JtNB1OJhdCMfmz4Ivq/0QevZKCLXHwMu5ecZKKJoCRPM1oPvvclJSNLPGSFUbKPGnaQAfFk+G0LNXwpbUcHDJvWC4uoibzpmCSCloxOChM7EKQp1DLQd9GthJQSQGTYMpgPinxIURpZxcrlpj7+RwRZTeJ6+AUPdwOJBV5Ao1JLghQQ16bmrKDVoGlpe91c5Pfp5Szw2smPL9f8yAbWkrrXujSVmk+QZIsnbtHP20PAUOT19kU2/wc1MCCvyZQQEHzvtgdqEtyOawhAMOBCYUnDT7worCT8tTLADD1wMDKg0YNnlrYWdGiRXkcfjBr0Gq7KApnVzNoj1X6bpzBQvdZ1KqCipfep+8wnZMOAzh07X6q+HrO+Ic9xm+v+k06I1igk10eE9KOTQNsvsTAg4txYQCjhdvLIBNyRVGGMKVH+8unio+Q6R5tAfsKSqSpxP+bg8EYWdGieOckI7bJysybAoPDjJoigoHDVQFgD1NdeFQAvtmXzj9CQEHnwdeP+d+/lPHOvHxXr95jiP9hIMYVD9w6IDLxSoqWppLQ0K4XK0ELyRowQEF+k1QAEGVDPUJdfDKjIUOZQld/mcVySogocdJgxm4LpJC5MxdE0SwQ6ERV2lIVVG4UuOVGQsdYIOqO05CdylLAAAgAElEQVSVpdrmR8c7WZLuWBaCjANZRdbyJKPRJm+tQ9URVXAMzC4KOKKd2OFD+sF+wCG1gGnKDelhyF+AOhOrIPS7sZbplQQ3uBmW6WWBp6xIpqMIOXZmlMCF16bB9omljlx1DXJQXwZaRlYyH+VpK1KLMio5NANDDjskyCBBB5rOgkqOIzn50NccA6H2GCut5ctqP7y5cAa8MPVWOJBVBB7PEGt8mu5C4QnO89C0xfDG3Jvg/aIsOP/Q1RB6ZhiEfns19D0VAyfyc6x5uqWdmExDI/U0kCqk0EoZbq3ivGUcj7kEOLhR41t5uRB6OsbWIs6rUHCwwVvJpXPaZN6IAd6FtaMsU0TtepOu08HkwdGctEAsWewGNvg5hEqNg9mF8FlFMvQ2DIOTJemuxqGRnpeRln91U21onjD8HraJqTi2pJZD7++TYFvaSjVtip6XbmBDUxfRIKkjsQpembHQFkhLKRiamoE+RyjgaPVXW0BCOu+1Z5AGAL6s9kNnYpVj/aT0EglutPhqINQ51GoJpoGeSblBJfWmxgEJbOD6n713nKje0voWXw0czC60Uto43JCgCAa8z026TYUg0jRf3xEX8b2pyVsLB7KKBh3g+KUCOCQFx/kHr4FOkrJIU3Ol67AnpdxW5YimskiQg5uL0vctqoTCdzMJbnCFUau/Gnrrh1nH0JSiwqEGjseD5V0ZKxz+G/T/RnK+cGhBQUeTtxbeL8pyLJunvqD6QFJo4DhoEMr/w/2AKXTS+uIyKUDgKgua2kG9J+i+OZGfY0vb4DDh5dw8RwoJXf6ujBW2daIghcIZyd9DAjF0GV/V+sT0mY3xl8CMlIbDAQQuDyHFkZx8McUEx+1JKYeN8Ze8N+i0HyyZ4gAb6KuxJbXcBjh4tZT6hDrb+JimElVwDLwuCjiindhZRlnxi40tZNrLqukFEx+um5Mr4PtHrrI9cHkwx+GHW0sI7akXB8INDAiem3QbhP5lPOzMKBGNR6l5JAa9HHJQ0EGDE67koKBDCsbcqjW4eWpw4MH9OihMQIDxwtRb4WB2Ibwx9yb4qtYHHs8QuLBuJPQ1xUDfgfgwtNg+CvqeioGLj4+A7x8eDb1PXgFf1frgj/Nmw+Hpi+BgdqEtHUYCGlppWwl0SH4fbj4bezKXiakouM95dQ0pHUWrlMJbxel5cSQnH0KdQy3lBjVr5EGjVi1FCiZNYAP7HeklcKos1UrxklqYtRbgwQY4TKkmmjqDnl9HZ8+D0NNh8PdWXu5lQQ1tOZLHxuWkpPASxfS+QwEcv1fx9JTulFWwNa0M+ppirAoNJl8Yk9RdAs/NPieURrgRao8xKotM4IA+Q7iCoyupEnaklxjBBldtcJk9PoM6E6ugt36Y7T8aRFH1hgQ3mry10JFYBXsnF9tSXEzPRek/aRkS6MFPvFdQwMnHkaBDq7/aSlOQ1B38E7+/Mfcm6xmtgQ26zLZAuCQ8H66BnEZvLeybsnTQAY6Hri9yvK/wdxi89k7XeW3XIH3fkdJNaHqKCZ7g92PzZ6nqK/6+9X5Rlu3a5aonPGYtvrD3DD/HOQyQUlQktUR9Qh28V5htG58rK/D8p886CZw0+2pgS2q5bX34spq8lxQcfL2osqHRW2uDDRSIIODgwIaudxNZB54aIikqpO/H5s8SAQN+7+g31eTQBPcZpqBI6g06LV82V3Lw5dYn1MHOjBLHfsPxsQQvBxCmNBX8vitjhQNsIOyoTwj7jnCDUfx8Y+5NNmNSCkneXDjDWsajDHLQ4dR/I1pFZWB2UcAR7cQOH9KvrPp7x8uh9LIqvchJL3H0BbPVXw0v5d4CL95YoEIODWxIgIO3kHMVB62s0pNSDvuzlkBo7zgrXcVUYUVLWaHpKlRijp8YxGgGpFJZWc3gk/oC8Col3MwzkrQSOr7HM8ThicHVIJHMyy2dxqTa0IJIHsS6BY8cbEheG5KnAQaQJrjRk1IOr988B3obhlnGe9Rzw1QtRTNs5Col7QUU/+cScwk80uuOfg6mAKIlab4rIOQVUF6/eU7YD+bpGDj/4DW28/qHQA3p3NSqo2hww01VJHltaKVgN5HvW1LLrXS8zcnOUrCSeoOfp5KSzpRC1RYIwpm7Jtj8GmjgT58dmmKCAwsEHK3+auhtGCamSmiqBw2CtPqr4fSaeMsngv6nQRcaeOE8v6r12dJbtG2h0nlJwUFTWvD5KG0DQoeXc/NU6MABBVVinLt/rJoyJM2jLRCE7x8ebYMidN2kZR/JybeAjwS3uNqTng+D6f6EKSqSEpXCi+6UVbAtbaXt2tPScRGKnK7zqukp0rBPVmQ4YDq/dlv9/VW5Goc6zj8JUHUkVlmVg7h6A8EDV1doYAP7rqRKVyByMLsQmn014nxw2ahY4cujnxTgcHiBwTqCAa5AwWF4f8L1lSDFjvQSx7ZLEIMH/1QJsSm5QoQjFKJIKTT1CXWWQo1vA/7/2py5NpjEAYoGYeoTwt4dTV5neVrcFkyd0fw3pOopOA6Wl5VSUFp8l0reUniB4xxfMFNVf7ww9VYb9EAI8mjsGmj01lopKVTZsSFudRRwDMAuCjiindhRI7+9k4uNL4/8pU1roeLT4wtUqHs4bOovd6bBDc2Xo509+LkXB/U/oKADTSJ3ZpRAaPso2Ja2UmwVpYEtBRxc0cGDZ7cqK1zRIak6tNZnzejTZPrpltLi8QyJKKVEMh+93PG534hkHEqDSe6zwYNGzUiUBpD0GPGWcS1wlM4BTEvBFnFMTZF6HjBq8mHeskZfOHnrGkqZpRY1N8g42AKIlqT54rWB6SYn8nPg23uug1DnUAh1D4czd02AA1lFokpDK4espbVwoCGVfuVgQzov3cCbljKFnzwdBfutaWUQ2j4KdmWsEM9RrZqPli4lnZ9SgLQjvQSOzZ/lAHAmFYT0m07n8QyBtkAQdqSXQE9KuagecIPvPFhr7w/cMRCXAAX30aBAAluSPy1PsV2DPMgzzUtSsJi2AYPOFl8NhHaZS7byFINWfzXszChRU000UNIWCMK391xnU3dIcKORrONXtT4LiGhqTrq/904utsYdTPcnU4oKfWfprR9mPS/cVKrtgbB565sLZzhgOZ+Wprlg+gt/n+LPmVZ/Nbycm6fCQfr9QFYRtPhqHOe7pIZoYJ9SSkhDwqWSrNwrg36/uP4n4vIwgG/01sKLNxbYgnoOKRoS6uAPs+ZDk7fWEdTTcU6WpKspM5i+ggoO+j/1vzg0bbEjtYSnckifNJDnXhZ0Pto+x+lQHcVTgnCe7y6e6gA7Ui/BGw44OMig1Vukaic0veQJBiR2Zy4X4caGuHCZV4QpHGIgVJKUHxviVsOrMxdYw2hqyoa41bA5ucICHNxkNAo4Bl4XBRzRTuyoBwctGSa1+EgvbaaWZPqS0+KrgU3JFdDbMMwqHYvLoi/OWusHfcDTF3UOOCQ1BwYHO9JLrHQVTFEwVVjh+fC8wgqVmUu+HBR2cH+OSECHVJ4ykmonGhTZN8VuMhqJyan0v5uXhgQ4THJ/yVdBS0eR5P4cbpjMRPG75MeCnhvvLp4KofZLnhvUwJYGjhRuSDJi/luS/3Nfg1Z/NbxdMN1hrii1sGmy90bv4EpROfoPI6C3YRj0NQ4N+8t0hUHGxcdHwJsLZ9iUTJEahEaSgmJSa2jVezTFxuWUgKWAw1QtZWtaGYR2jIadGSU25QY9N918YKiCg0PnZvJJ/+tMrLKqY2mqCh7k0/8waOHPGI9nCLQHgtD3gtemDODnPgbJ1A9DghyogOhMrHKsG/XEkEAFHR9l//R/Kmun28TnQUGJtj84DMDveIyk/aClmbQFgvD1HXHQQfwVTEoM7PdnLYEOBlSbhelwfVr91Q6ViFtjx7a0ldb2D6b7EwUc/N0FrzE0i74cc9E/zJpve8ZwlQcFG+2BcCqT6VlD37m48ooDLArbLqwdZR1Xqp7gYIICAx6Q02Ab4YaUwkLn+c2dsY6gnk7X6L1kMMr/o+twIj/Hto6SQuOjZZmq4mRjfLgiByo4eIoGfj//0NW2aSik4KkhPG0F02A43KBKju6UVbbp+H55deYCS6WCx4Hu13P3jxUVGlKaCsIMXN7zNxTbtoFvy3uF2aLvBsIJk6KjsX9ZHIigQoOrRej+aUi4pO6gao31sWvglRkLHcMQYuydXGwbRkHH/xy3bMDfm/5v66KAI9qJHa2i0h4Iwon8HMeDjr6M4n+81cr0YoPTtfqrYUtqOXx7z3WOBzH+Lyk7uLmW1FKOLxE0bYWmqnDj0X1TlorlFqmKQ0tZkVQcUpUVCXZoag4aTHHQofkKmKCCBDkQcEjVTLTvmpID02a09ZECyv+Kh4EGN+gx0CT/3KxRAhvow/L1HXHw/SNXWZ4bHG5I1VKkFjjphZdCDXq+02BlU3IFhHaNcbQ4S0ESD6LosH+csGTAP6Tx3vTPKXMd55YJZEjVi7SKRm5QQ1NsRFK9J9KUKc1rgwMOquLYmXEJ1vL0qUh8YTTwpnkjUWl7qHu47fx0O09p0EIDdA7QPZ4hsDOjxArOeXCtgQFN3dEeCEKoLcZ6vkggkAZoEqBv8dVYqWJ8e6RpJbjDf2uQgW8vrVBCP7nfCR3eHgjCxfU/EdNXJGUG/nf23nEiUOX7GL+3B4KwO3O56g0iwZzdmcut34MNcPB7PlecdqesgldmLBSvPy39NvS7sTZDUg2a4/fjC2aKaTKSeuNUaZrjGEvwrcVXY6tSQiEE/81BBldvYEC6LW2lA4zUs3m1+qvhSE6+uCwKOF6bM9cK6jm4wP75G4rFeTwRdwkCbE0rc6wr/fxgyRQLcEgBfkNCHexIL3GAD+5pwRUeNN2jM7HKCuQl5cvWtDIHKKEg5MK6kRYk4SksDQl1cHj6IpuyBrefq0X49/p+AIQgAv/H9axPCCtcTGk4knKDzp+bgeI4R2fPswEPCkCa+o+7VEFlQ9xqODRtsW04VWnsm7LUYTyK/X3XRQHHQOuigOOv0P37v/873H777ZCUlATDhw+H6667DpYuXQonTpxwjPvmm2/CvHnzYMSIEXDVVVdBaWkpfPHFF47x/vznP8OGDRvg+uuvh6FDh0Jqair09PT84HXkZWIvPj7Caslxa52TAq5G8rDkL0j4cP1oWSa8NmcutAeCjhc3+jCW8sKllwH+YtDJglBeQnZb2koIPXslHJq22FJyaKajvOWfQg7uzcE9OjTIwdNXeOUV/B6JgaIEPvh3DA4xRUWCH1T2H6kqw03+T9NO9k4uFiteuPkXmKpPuKk2pEoUUjUKPN7nH7oavqr1WZ4b2NPA0c13g7/oShJhKUWlxddv2vh0jBXgacGbdM1x2OEmAR9I96bW5HlG6KcBNCntRDMr1c5NrfRrpAaiHLyZzk+pko/0uTOjBHpfmmjBDa4qMlVM0VKmEF5IkIOeu6/NmQs70kts0EBSIEgKIylgpikPHs8QOL0mXlUFUNAhPWfoerT6q+GDJVOgQ1BvUFDB4QNPv9w7uRg29ft30P8k1QcdLl2j2jBp/7X4auBkSboKg6T0k2ZfDWxNK7N8CdzGpX4q39wZa0yF4f2J/BzHcdIUZQhE6HA3wDGQ7k+8TCxXnrYHgvDG3JssdRV9f+FKD5pqcnT2vIgVH+2BIOybslR87rT4nJDrvcJsh/+GdC21BYLw/A3FNuUSV0pQ/4168l3y2GhICFc00eaD02FZdBqw02Af1/Xl3DwxNYWuC/p90PHo/5iCoqV/1CfUwfcPjwaPZ4hteg5B6HCuNDClgWD/wZIpNuDBYQ2qGaS+0VsL5+4fq6ag4D2pPsFeApYbilJlBN02VKdwdQZdxycEiMHBBn7HZbX4ahwgZAPZby/l3mI0J6XDOSDpTlnlqJKC34/OnucAG5bZaPziKOAYYF0UcPwVuqKiIhg7dizceeed0N7eDmvXroW///u/hxEjRsB//Md/WON9/PHHcPXVV0N8fDw0NjbCunXr4KqrroKJEydCb2+vbZ6/+MUvwOPxQHV1NfzzP/8z5OXlgcfjgS1btvygdeSAo9VfDRfWjrK9VGnqDG2YScnR4gs75PcdiLeVjuXBnpauQiWcPLDkLexayooFOf5lPHy8fJItXYUGwVIpWTcTUqnaCoUc3KtDKjErKTs000NusGgCH8/fUGwBDjcows0YTeagPJjk62sCGpLPBjcQ5fuTwg2pAoVWYpO3iuPv7RNLoe+pGNiTucwKLjnUoEGk5P+iSYhb/dXQlVQpyoTpC2dbIAgXH7sSNiVXOGTl2rWELy08KGuMAHAMpHsTenD8V3uulDIBN0mtIYENDjgiARtShRRTSgpNS9k7uRhCvxlpM76VvDbcVBs0NYW39PJgCJ8LXUmVcLIk3aYg0FQLUsoHBRPScwE9OCQFgXQtNLL/ad+RWAXfP3KVdR1JakNt/TDooeoNBBzadvHr0DRvTYlCv3NIgcFmMzsuvPHgi2BATO/R4EWrvxr2Zy2xSsqa0lkofOlrDitj6LiSAga/Y0Uc3AdugGMg3Z9+GVskKifoe8nF9T+x4IYEF/l1idc/f55ogOP5G4qNUJ0/a47Nn+U41vzaavaFU5cQNPDzn0MKSb3BlRV4XUnpJPVk/n+cN9t2vlAogT2mqGmpJZr6g6Z3bIxfbZ27mgKkIaEOztw93ubBgduiKVY4wOBgQDIZ/SIYcKS9UOjw5sIZ4v/1CWETVFrlhKtQcF9JShcTfEGY9MGSKY554rjNvhrbelGYoZmHIpBo9Ver/z/Rr+Dgvh64D5+bdJvNOJRCDgpb0EiUwo59U5Y6wAcCjk0Zs6KAY4B1UcDxV+iOHDnieMi+/fbbMHToUCgpKbGGrV69Gq644gr4z//8T2vY/v37wePxQFtbmzXsk08+gb/927+F22+/3Rr2l7/8BXJycmDcuHHwpz/96bLXER/SD4xfaj3o9k1ZCoemLXY89HjLHP8uBVp8enyp6kisgr6nYiwVh0nBIb0UaPJOrXQnDVIxYNiaVgan67xwYe0o2JpWJqYtcPNRyaODl5PVKq5IKRcmRYdWhYWnskjftdQWj2eIqwqEQg2TzD+SKhNSa7gJaEhGjW5eBpG0ivMAEodha/iBrCJbGVhTxRTubWB6+ZTAhqToeLtgOuzMKLEFNVrwqAVLNIB0AxwD6d70XwUcUhqYyVdDUmpIHhsmI1Gp/KumJqL3Gwo1KNzoSSmH9wqzoa8pxgHh+LnJ74n8uwaPTS2+HYlVcPHxERYIoa2+WguwKdjnz4U/zpsNHs8Qa94SvGj0XjLglP6jz5ez910LXUmVtnXTehoIUXCIHjw4rD6hTnzWaVBHu1ZN0BJhBKaMSJBH6i1I+vgI23HkAawERj6vTLKOq7Qsvn6tfqdBpds2nSpLtZ0DboBjIN2feBUVDji6U1bBZxXJorqPw0b8faosVQQiGhzBajsS2OBqnk3JFQ6/FemYNftqIPTMMOt/U4qKpHqQwAeCQq6koPNp8tZCqD3Gggl8mdgfmrbYurZo0E2n2zdlqWP9OJg4mF3oWAcKQfBeQD04+Lby5dDUFPpbUjwgKOhKqhRTV3BZTV7ZXwMBRqu/WlSXbIwPqxkavXIFFk1lQpd1us6rqj42J1c4PDd4WokEOvBY8dKv+LkxPmwUyqfHebw2Z64IPyhEktJQ1seusSqsIPyg1VQGQ3rv/21dFHD8iLpJkybBpEmTrN9jxoyBpUuXOsbz+Xxw0003Wb+bm5vB4/HA8ePHbeP19PSAx+OB3//+95e9LviQ/n/GLbPd+N4umO6g2hLh5TcUHGbK68MHyeZ+01HaOsYfZvzl0CTrNbVuUXhC4QhKQUM9I6AnpVxsDdWUINTAVKpywE1L3UrRarCEB/hUGSL1vHWZAhWPZ4hDUcLNUfk0Uks1n46ujwQkeIUTNzNQrXyrFABqRqD8WKJhG0KuF28sgO//Y4Z13PmLoxTo8fx3/lIoAQf+YsZf2nZnLoczd4935PfidcMf7FLPpZ0/NI/0x3hvavDnqee4qafXiXZOcn8M6dw0GYLy1DZ6H+DnJj8vtUonCCoQBHclVcLnlUnwflGWrQqDpHwzBSw0OG/yOltkqTSZnqdN3lrrPs1b7/hLuiTN5nnb/CW7of954/EMEc//J9jzRVsmzg8BB15P2vVCWxL5NVafUAcX1o6yAhHJqZ/nmvNrUNo/NEDA382+GkdAsTPjUj4/PS5839F7yd7JxY4gh44nBZ+N3lr4vDLJ0QLOn9l0/26fWOqQwUvj0m1vSLCXevyhRn4/xvvTA+OXihAar7lXZiyEtkDQ8VzQlK7N/dBJgoX8OYPX8uHpi2zXNH3W8GfQsfmzHOcTvzbwWJ8sSbe953FPgw1xq62gcd314X5D3GrLtJGaOK6PXWOrbEHTCWiFi/qEOnhlxkIxQKXT9D55hW1edByaiqD9j+v4Va3Pto48GMZz2OMZIqY0PBq7Br6s9lvb8WjsGlh7/e3Wf7hfsMf/1seugUcm3G7bl49MuN1meInTSGoDus7tgSA8wZZPt+FUaZpjnXHe0nzXXn+7NQ8896RtebQfFuD4vF93fXgbcbvWXh/+jp97Jxdbv3EY/f3ijQW24XTa4wtm2oY/MuF2eLj/syGhDtZeH/790Pg74KHxd9jGqU+og4fG32H7H78/nXpzFHAMsC4KOH4k3V/+8hf42c9+BnPnzgWAcMuCx+OBDRs2OMYtLS2F0aNHW7+DwSCMGDEC/vKXv9jGe/fdd8Hj8cCvfvWry14ffEh7PP8DPJ4h0T7aR/tB0f8PuNyHdPTeFO2jfbT/7+mj96doH+2j/Y+xv/x7U7T763ZRwPEj6TZv3gwejweefvppAAB49dVXwePxwDPPPOMY97777gOPxwMXL14EAIC8vDyIi4tzjHf+/HnweDzwi1/8wrjszz//HI4dO2brf/vb30L0IR3to/1g6y//IR29N0X7aB/t/3v66P0p2kf7aP9j7KOAY6B1UcDxI+jeeustGDlyJEydOtXK+Tx8+DB4PB7YunWrY/z/9b/+F3g8Hvjmm28AAGD27NmQmJjoGO/Pf/4zeDweuOuuu4zL/+UvfwnhB7LURx/S0T7aD57+8h7S0XtTtI/20f6/r4/en6J9tI/2P8Y+CjgGWhcFHH/l7tNPP4W4uDi47rrr4OTJk9bwaCtEtI/20f7/fB/5Qzp6b4r20T7a//f20ftTtI/20f7H2EcBx0DrooDjr9idOXMG0tPTYfTo0Q6Tq8vNIx0+fPj/L3mkWCaWGyi2+Grgq1ofbE0rM5bp0xzy3VzWqfP95uQK+O6BMbCZlI+VnP15ZQqtljytckGrX1CTP2pOiaahaBS4LW0l9NYPE6usUPNLqaRsT0rYPJRXW+GmorzqCjdGvBwDUV6d5blJtzl+ezxDxPKXUq+NJ1WB4aakboaPWFJT6vk+ksq/Ymlfvv9pvyW1HLalrYS+phj47oExsC1tpa0ChcmQlJcd5g74UlUfXipQOn9b/dXwxtyb4FRZqlX20VS5QKpaJFWu4ONE6gQ+EO5NTYGF6nkYyXfeu5mSahV7NGNc7CVTYW6QK5WApfebUM8I6G0YBj0p5db9SCtTzEsTR1JxgZeR5Oa5WI3jwtpR0N5vjEjPSel8k85TWrFDMofuTKyCQ9MW24xRPZ4hRgNfbRhWeel98gpHCVtu6MgNq9GkEfuupEo4VZpme6Y1MKNGU0UWydRVqybGn7et/mo4XedVq5k0s+OEn+2BIHy0LNNRVhaXR48vPd5n7x1nVTHjx1na1y2+Gjh3/1irPKyplDVu9/M3FIsVZtyqqAyk+9Mv+6uo8GdDZ2IVfFXrs/1nKvvakVgFezKXOZ43fL70GXMwu1C9vnnlrlZ/NbxflCVW6OLnZ0diFexIL7FVKaGGpdysVqumQo1td6SXqNPi9G2BIBydPU80464n19+5+8c6qqzw8d8vyhLLyDaQZX1YPNlW6YQb8TZ5a6E7ZRXUJ9SBxzPEYcxan1AHf5g132HOq1Um0crHbk6uUP/fGL8atqaVOarA4PKbvLWWubBUnYb+x6urSMeLmxt/VetzjI/r3cC2WzIZ5ibTaMSM5sqacfPHyyeJBs+4XG5CS8c7NG2xzciW9tvSVtoMWLmR610/Wx4FHAOsiwKOv1J34cIFyMnJgeHDh8O//du/ieNcc801qhP47Nmzrd//9E//BJIT+K9//WvweDxw+PDhy14/yQlceuCdu3+srWyd9JIrOfPzUnnSg7WZvaz11g+DzsQqW2BIX2alOu/ai317QAcdpiopGHhgKdGLr2TAH2bNtwJsraQsLUvKq6bQ6ik0cMfASQr2tSoQpuoRWjUUrKJiCv60gJAGhvw/XkGFry/fHhoomqqp8IoVpuoqeLxoSd8PlkyBvkMB2JFeYgWbFGxI1SukADKSgJGfl1q/J3MZnK7zWnBDKwfLgzO3nl9LD11f5PqQHij3psZAXkTn5g+BGPycjKSKiqmSinR+ShWWONzYPrEU+l7wwu7M5dCTUm6BDdN5yUu/8iAokvORB74YZGMZSXpfl2A2v9fz3zwAxmXw5wkHHBJE58vEcRDIdKesspW05FW4pFKTvETsp+Up0OqvdmwPf67R4SYQ6QZAKFD4w6z5Fjygx0SDD/j/V7U+FVRIQAUh1vmHrraBElNDBMKfdgJl+TZI96+9k4sd+6QhoQ5+fl3xoLk/PXR9kXgNvpR7i7XPpPcU3kDTkVgFvQ3DxOcOh+fYH509z3id0+E4LZ4HUsUvPJ6nStOs68BUFlYqB0vLrNJgefvEUgdooJWDGr211nufCZ40eWvhxRsLbMBFqir0cm6eGNjT8Q5kFdnWX4IDuAwEHByGnMjPUYN8Wm2QVqihFdLoNlAwIAEHaRs6EqugyVtr26d02ldnLnBUPeLz1crYboxfrW7fE3GroTOxypjAEdAAACAASURBVFYdi1dVlEq4Yo+VlTjAQIjxwZIptnnQCjpbUsut4RxubIhbDe2BoK3aD60Uc3T2PLESzvrYNdCVVBkFHAOwiwKOv0L3pz/9CQoKCuBv/uZvYM+ePep4dXV1cMUVV8BHH31kDfvXf/1X8Hg88NRTT1nDPv74Y7WW+89+9rP/Ui33X4xfKrbC4AOvLRCE7x+5ytFCxseNpIVLa+nCB29HYhWEuoZCR2KVq4KDDzO1YlLIYYIbqOxA0LE5uQK2ppXB2XvHQahrKOzKWGEFMrQkrNZzhYcUMPGAX4MdNDDjygi3oI4CDikI1IJDaRla6VoNaJhawaX9QYNI076l+38zAVKhZ6+EdxdPhS2pTrAh9Xg+SFAskhdN6SUTXybx+/aJpdY11KK8ZEqtoG7BEv/e7KuB/3dWuvEhPZDuTZdbJtbtXNWUQ/Ta4+eoBtz4NS6BDKlsLH7fkloOHxZPhtCea2FLarn1vwY32gyfWplj6R6qldP+IhiAXRkrrHOXnlf03i4FRm5KBlzGhXUjrUCe9h7PEEfA3EimpYCFPi82JVfAyZJ02zw5VJcABX9Wtfqr4WRJumN7JcjRZJiPG9Tgz1bsUTlChzeycfg0bYEgXHx8hC1wlcoF8+P8wtRboaM/mJRghQRgvqz2O44bPy503+M6SfvQTcExkO5PD11f5Hj/6EisglDnUOuZwpV90rtJR2IVHF8w0wFETN/bA+4wE4/7H+fNNgIOep1eWDfSdt1QuEF/UyWBpFioT3CCEamMMc7z7H3XQqO31gYcaNDekFBnwTw+Xwoo6PmmlVVu9NZa5VUx2Obr/8d5s22AQ4I4uzOXizADFQa8jDUHGbi9tCQtHb9B2Gd0PfZNWWqNIy3nzYUz1OMjlQem88frmAIP+rk/a4kN3nAVBi/HTUty75uyVCx1j+txJCff8R+CiLfych1lvqkKZGP8aptKgwKN4wtm2koZ0889mcvgf0YBx4DrooDjr9Dddddd4PF4ID8/HzZv3uzosfvoo4/g7/7u7yA+Ph5+9atfwaOPPgpXXXUVpKamWjmk2GFuaU1NDbS3t0NeXh54PB749a9//YPWkSo4pOCKthTtz1oC7xVm21p86EPR7aVXauGRWp+pkgMfZlxOzV/e8aHPAYim5uCBgwQ7KORAdcDOjBII7RgNZ+8dB9vSVtoCG0lZwFNZJGUHhxxc4WECH7QVWkpt4cM8niGwM8M5XFOIuIEMHjBuTSsTh7m1irsFkBLUoD2Co6/viIO+/bGwK2MFdKescqQg0cBRCiKpPFhTcPCXVTw325RztdVfHU6VaRxqtYDyIE560eQBpdRazK87BIRH77jS+JAeSPemBn+e4zw1KYbcoBu/jvj5KYE207lJARs9PzcZ+s3JFbAjvQTOn5gPR3LyRQjHFWdaWgpXEUlpfFyp0eStddxLT+TnwKFpi9V7uXTvpq2odDhv1cflbUkNp95IATgqOKTnhQYK2gNBCO0YbVOccDBBoYb2vclba0u/4OPRwM4ESejyJaihgcntE0ttLez0ecgBBT2Or8xYCF1JlbaGB02FQaf77oExoopM6vH8CHUPd8AWbTubvGHFB3/+4z57wAVwDKT7Eyo46HtGZ2IVfLx8kqiyamfPEJzm0LTFFhAxpafg7+6UVSpk5+lKLb4aOHPXBFFtw6/XVn81nCpLtR0vSUkhKTh4cI2/NyVXqGoPnGejtxb6mmPEZdBhL95YYN17OPzAcXpSytU0DOyb+yEJXx5VlYQ6h1rz9niGWBBBSmehwTVXNXAAQgHDrowVDnBAx0GViZZe8vHySQ5VDF2/i49dKUIlCbjwz5b++7GWcvNS7i22/cGBBf3kQOL5G4ptqSMUgmyMXw2bkiscYAQ/38rLdSg0sO9IrLLg0qOsXx+7BjYnV6gKju0TS+Efro0CjoHWRQHHX6GbMWMG6M7b9kNy7NgxmDt3LgwfPhxGjRoFJSUl8Nlnnznm+ec//xkeffRRmDBhAsTExEBycjJ0d3f/4HWMNEUFH5Kh7aOsF1QNaEitefRhqS2Dfm/x1UBXUiX0NcWokIPnmVIZpiQZlVrnI1F00MBjc3+r697JxdD7+yQ4kZ9jeW1IigJN0cEBh5S+InlRSAHa9omlEak+EHCYYIX2282XQAMYmjqDBoxaKgqHRxxq0HSUU6Vp0HskxZL4Y4BpUmuYpP9aEMkDSQ280WE70ktsAYWW6iW1NPNWbCl4pK28Lb4auPj4CPhlrDlFZSDdm/63/xZXgOGmztDOUQ1qcAWRlJbGr3Wu3EClBvf36Ukph88qkqFvfyxsS1sJm5V0FFO6VDv7zqGupN5oFj6b+gOaY/NnwfEFMx3npnQv185RDVrjZ6u/Gt5ZNM02nJ7PmgeHBgVa/dVwePoieG7SbaJ6QwITEqho9Ial8QezCx3zoOBGS2txU3BI+4kDhAtrRzkUNdK+oNd5q7/aSk+Rxuf3C6r6+GRFhqrGlGBKT0q5LX1Gun/xbTuRn+PYT5EqOAbS/Qk9OCis+Hj5JOhKqnT4bfDrFIFHR2IV9DXHqOoNqdHmgyVTjMoNeq23BYJwIKtIva4a+gP+Ru8l2EaPFw/mNaAhpac0JNTBa3Pm2n5L82vy1sKRnHwjRGlIqIPzD17jSD3hypDPKpItSKGlZrwx9ybH9uC6I3DB9Iz6hEsKDto3emsd2y2BDs2HYmP8Ja8JCgjo/8fmz7Lmz8FKQ0IdhLqGimoW/H14+iJRucE/pWF7JxfbFCt8elx3CWxQUMNhx/rYNfDmwhkqwMDlaQqN9wqzHR4c+H1nRoktrYVDjieYeoP2L+fmRVNUBmAXBRzRTuxoioqphYm+DPc1xdhaCLSWAK2lTAMp/CULH/5n77vWktO65ZnyFkw3Xw5sMeGQQ1N0YKCCpoCflqdAaNcYODRtsWU0KCkMJOChBfWSuoPDDt5zXwspuNs+sdQCHPR/bAE3Sfe1oFFq/b4cuMH3g6aGkfbn1rQyOFWWCqFnr4S38nKtdBQq85cMGukxl1QbphxoDXJIQSQqN75/eLQFN7TWTul6ka4TfBHl88DlXlg7CjoSqyI2Gf0xd3hvqvflR5T2JKVAaR4vmoJIU2y4nY9coUGBBt43ulNWwXOTboPQb6+2KYw0k1s3PxhTEOQmV6fDjs6eZ+Xy8/u/BjC0oF4DEs2+Grj42JUWQJFAHU1RkZ4V9BnT3A/Ae1+aaAX4klqA/uYSezrO+QevsWTvEgShShVt27UUFh5I8mfqpn4PFg4cNCUHjteRWAXvLp7qaK3n9wfekn+6zmuDInT8FrbMxv5hp8pSxeBYa9Cgx0RKc4jUZPTH3OH96cEJS2zXZHsg7G/ido3SaxnTU9waaPB3R2IVvJybZ4Qb9Hn0yoyFNnWQdp3T67SeHTcpgJYUBZJaAk00efBNp8V3PGk+9ByiEERSIdBxuLoDr+X6hDo4c9cEcV3xd7OvBnZmlFi/aYoKLg8hCU/50NJAcFwKMA5mF6qwoT6hzmaESvcX3lveLpjuAEdUhUJVHRRWcM8Nug7YH18w06jg6Oj34OCpJBx00NQUTMXZmlZmAxcUfnT2qzC4Lwf6bbyzaJpDpYHjIvygaS1c5UHhBlVy7J1cHFVwDMAuCjiindhxwOH2costQL0Nw2xyXt56Z3o5juSlmAZtnf2eHJuSK4wPcQo2tFQV+t2k5uhMdKYxUNBB01a2pa2E7x4YA6E918L+rCU20LGJBOSbWIAuwQ76nQZcJlhgAh8ceHg8Q9QWbVMLNw0ecZm0Qsy2tJUqyHBLPYkkgKT7bEtqOby7eCqEfns1HMgqsrwLeHUU6fi5qTakF0opJYWno2BwgIFBqz/suRHqvJSWol1bUkCmjacBkmZfDRzIKoLdmcuh2VfjKgEfCB0FHJGcnxyymSrwmMCiVpmH+2lwsMEVGxSGbkkthwtrR8HFx0dYaRocbOD52JnoTEfh56d0r+PDJNUGVwG8NmcunCxJt8bRYAYN1LVUD/yN86EB9gdLpljrzc9fvNcj4JBgAP2N11foX8Y71ISSykJScNST9UbFlwQyTPPh+0D63wQDcFu0yikmZUWrv9qqOOY2LZ/u+0euckARrZEBGzU+LJ6sNkZI96VD0xar+2ewAY5fxto9ODYlV8CRnHwRbPBUFby+X87NU5UeErg8mF0ovudo1/vnlUnWd34+0nO12VcDZ+4ebx0vnvohKSp4UM2VEhyMSMMbvbXwYfFkxzXKAURHYpVV1URat43xq6HJG1ZkSdACPxu9tbAjvURVnGyMX21VkcL/MEWFgoALa0eJHhuSeoGOR705MO2FzpcadTZ6a1UFBgJIvv9xu1v91Q44wueh9fUJdXCqLNWxPRoYwW2iXhrcJBSBA91OrsDYELcajs6e51Bw0O+t/mpHdRSEHF8EAzbwQSFGR2KVCjce7QcrUcAx8Loo4Ih2YqcpOEzBVbPvUjUI+sIqtSxLAZwGQOgLNp3XpuSKsGlXzwgr31hrQecPfE3FwQEH/60FxlK1FQy+t08shYuPj4C+/bFwePoiWylTHiCZTEo1ZQNXdUTi4cEBCAUckfaaKoNCDqm6hGTEqAWRJrk/jrM1rQzeLpgOvb9PgldmLHQYiFK40ZVUKUINN+NGLeeZB5FSqzgFbXgu8Dx3KSiMFAQ2ep0vqBQ6vjH3JmtZgymAeNJX4AAXpnNdA4EccERiZEvPSV4NhUM1noqC6SifrMiA0K4xsDWtzGEiqkEOCWyYpOtSOoqpb/VXw66MFfDmwhm29A7t/JNSNfh/WkC+M6MEnpt0m029IQXf1INDAhwUsm9NK4OXc/OseUqQwRRg02fRhbWjbGoDBB18G6X0FAnM82ESNMDvLb4a2JWxwlWBwT/bAmHTbwqN+PR8ni2+GtiWtlL0QOHzp/2bC2dAW3+wZ+rpfWl/1hL1GNQnRFZF5cfeUQ8OhN7tgSB8VeuDzsQqx7MEx+HgvD0QhAvrRqrqDf69LRCEE/k54vsPhRxUSXh09ryIIHurvxq6kiptQEJKU6FBOFcHcLDAy6jyABuBw9d3xKlgA8d5Yeqt1vXJ/8d1QAUYrjtPr6Bwk68rwoSGhHB5VAoXeJnY+oQ6eP6GYpsiggMMno7CU1Uk7wo6TIMT2HcmVtnWEafBz0PTFjv2p5SOIilI6hPq4Nt7rhOHPxEXBkl0O3hqigQ5sK9PsFdQ4QakXwQDNvUH/R+PKR1GVRwfFk92pK7g/89Nus1WGjZaJnZwdFHAEe3ETqui4tZ63OKrgc8qkuGjZZmusketxUt6eeYvv/iJgUDomWE2yEEf4vyBr+W78pcFHkzwQNjk0cGl6Fjy8es74iD07JVwfMFMhxmpFLxrnh0aNDAN59CDBoYezxBrmARItICQt4Jr66O1fpt8DDTIgdNsTeuvYPObkZZiQ0pFkcxjNajBPQx4C7mp5U0KImnL8oGsIjhz93grKDC9WJqgRxO7PqQACVtYzz90tU1RNZgUHI8nFLieo9p1EIlSg4M1k5KIAwzusYH3gJ6Ucji+YCaEuofD7szlls+GVh2Fww0ueZeUaKYAhwa1/F7a4quB12+eAx8ty3T8L93rTcCNw2geMLcHgvDNnbE2iCI9L5q8tTYFh2lZ7YEghLaPsgETDiI4lJB+Y8CEqTkSyKgXpnGDkVKqCp8G98MrMxYa958EKVr91fBybp7DXJQfC/69LRCE8w9eYztHtOXiM77FVwPnfv5TUXnDP7Hn0Ek6LoMNcOC12ZVUaaUkmgA5hRtdSZVwdPY8MR1SG9aTUm5MS+FQi1/n2rl7Ij/HAgRcScFhgJbewFNPdmaUiAoJOr9mXw0cnr7Idr1xiNGQUAd9zTE2UCapFt4vyrINb/I6QcaujBWiogS/N3lrIdQeYwMlHHDgemr+GVSlQRUQFAq0+qsdgIMCkrZAUFRc4Pr+YdZ8a3/QbcbfxxfMdAAeDapQeIHz2DdlqUOVgp8HsorEdedgRwIcuN8ohKDpK5iCwhUcG+LC5qM8fYX6c5zIz7EBDtrvm7LUodqgsGN97JqogmMAdlHAEe3EjgIO+lImvbzwl7MWX9jQkErwpRdl0wuhFODxBzB/YQ79ZiRsn1hqVHBw6CG9XEjwQwp8TUakVDEgeXScyM+B0L+Mh2/ujLWBDi0Nw+Tb4aaGwMBO8/dAwOHWwh0pTDEFjnQ93dJONPPQnRkl0Fs/DEK7xsCujBVWKgpXa2hVJySoQUGGBDb4y6SU+kQDAPoy2RYI+8X01g+zxtUCxUgCRynY5IFIq78avrkz1rGsQQU4vAURKYVMCiFNqSEpMrRhFGJIaSmYsrYncxmEto+Ct/JyLZ8NrfQrVw9pAc3lpKNICg4Kgt8rzIa3C6Y7QIOkzNACf/6s4M8MXFboNyOt+zE956laD38j4NBAOW7HN3fGQldSpStIp4EQBjl0HIT0GtiQ0lXo9NI+o0BSe67R5+fpOq8DQHFo2kiGowog1H7JB4vekyQ4gr/3Ti6GkyXpoiJEgiJN3lpoCwThxRsLVIjCz58mby28nJtn234OizbGrx50gAOv2+0TSy1zUc2/iQOOj5dPgo7EKlFxir/xGCNEkZ5RmnLrs4pk27GTzlM8hn2NQx3HSwIbpmFcTYBBvDZ+Q0IddCaGqyBRNQafpiGhDt4umO4I5nl6yOk6ryN1hi/3y2q/qIigKpCjs+fZ5s8BB00N4XCDe1xw0IHB+dsF00UwgtOdLEkXtxH7M3dNcAAl+v1kSbpYxYXDCAo4KORp8tY64Ar2f5w32zpW3EODp5RwNceujBW2sq+SgkNKa1kfuwZenbnA8uOg/+P3bWkrHcoO7I/OnmdTbdA0lY3x4fGjgGPgdVHAEe3ETkpRoQ8/TYqL31v91fBltV+UH2svQSbYYVoWBpVtgSCEuofb8roj6aXWeXzJ4C8Wkj+H5NFhMiPF1twtqeWwI70EQr8ZCaFnhsHxBTNha1qZLcjigZWpVVmT0ZsCO+xRwUH//yEt4VpKDa6PptaQtg23HSHMe4XZENoxGs4/eA3sSC+xIAlWRZEMRLmJqAY2JKWGpNygL4umcwr/70isglB7DGxKrnC0kPJgTmsRpgERleprwK/FFy73SEtk4jiDKUXl8YQC1adG+m1KOXE7H03qDGk4BRsHsoog1D0cTpWlQk9KufV/JGlRWm8KZKTApoV98nP46Ox5cGz+LAd0kO7R9Hw0nbPS/bvFd6kyiAT3eDDe6LVXUZHgQLMv3BqNATedJ4cXEpDg6//OomnQ4qsRx5HmJ12nfLi0P+l+oXAAU8qk/cEVFhSqbktbCXsylznuMXx8fvzxXiGBDG0dztw1wfIiaBHWRzq2m5Mr1LQgDFgHI+BoDwQh9LuxtlKvGjjH4R2JVVaFLSkVRUq5/cOs+epzSroPvDpzgeN40TQrCvwOZBXZwCCFUjxtgsMMSSXAIQAP1rHHyiiSMgTXodkXTv2UAAhVfqD/hjQf7D8tTxHhBo6H+4+CEgo4nohzGoxSjwoNeHCwgGVWJdiwMT5cpUTad0/0qyDO3D3etj8oqGj01lolaCX4oR03/O+5SbfZ0pP4+r2Vl2sDJqbUFD7tp+UpNhhCjUQ3xIXPG0mhsT52Dbx4Y4GjugoFHDythZqMvnhjgU25QdUcrf5qWHd9NEVlIHZRwBHtxE4yGZVe0LQXWnyInrt/rONlS5tGC/b4C6320ohKjq9qffBpeYqthcMEN/CzO2WV42VCCja4ooMH0LxF1q3qCqoSTtd5IfSbkdBbPwx2ZaxwVXVwc1I3rwpN/YGAw6SyiDRAdPMrkNZd+o1Q49C0xRDqGgp9L3hh35Sl8Nyk26AnRVds0MBRMhR1k/7zl0+TckODGth3JlZBaO84h2RcAnz8vOcvnFIQKAWHLb6wQeTeycUOkNLkHVyAY33CItf0J5MprXa9UHUGBxgm01CaitKdsgoOT18EoT3Xwqn/j703j46qyvbHqxtMIqCttNqgTEmqKpWBQAgSAjKKzHMgRALEJJURbdQGcfrRuHggiKSTl1cx6UQWCA1Nw0Oh5YutrTynRp/yHNrhObsccKRlEEhS6v79UdmXfffd+1bRz6FTuXutu6rudO49w93n7M/57H0W9TcYGxLoZrdSj0RJ12Z/7VgatH3StoJMn0ey5ogz8LxdamwOadaX9xV13lI4vCAdtqQW2lLiudHPGRz4LNw2JhdD8IGLDHBGel/JoEbAgh5vSi6GZ0dNNtKW7uN9kwZqSH1XuO830NZncrDADnjAejy6pK8ptg8HN2gfjO0AmQIU2JLuoeVfn1QCLVVxprak1Tse35p2jQV4kso1GgGOTSlF8Ma0EWLcHAmoaPSFApJu718gus7ycQv+bkm1BlvnwAa2l+39C0QmIQU28PfxYTMNdy3O3pDYAxTskOJFrE+ogLdnZlvu54Z2jacMjlQmGs+Trql2l8MjWXMsIAg32Glb48Y7vQZX6dCeh0Fyaf7oMrE1njJ4b84Qk1sHdUPhhr7kpoHvwoEPmmZT23tKQEyNJxQolQIQvEx4nXGQhINPdHtu9CQVxFqfUAEPZuZZ0uR55K4keOy50ZMsK6NQ9xXMPwdA1iVUwAfzMi3HEcDYmnaNwdygQAZe92hWjmUVlVX9FsOa+Ep4fNhMh8HRTsUBOBwRxY7BEQnAgVtD2wCKzyRLAyNp4Kw9Q0sDmRwHR06FUyu7GxRPPntBj/FBBqYhGRN2gIcUowMDk9qxOahBtS2tAPZkzIevrouH5mczoPnO82D/4FzYmb7QZJRRA0wDCTS3FsnIQ4BDOqeBIpJBuVl4lt37cUBlZ/rCkGHYGAOtBzzw3pwhsGvAAgPUoIZkE2NtNCnGo1Q/Grgh1bs2KJVmxbE97UxfCME/nmdZKcWOgaEZRhrIIRlH7+ZkwRclSRbjBq+NJheVte4ZFiDDDriwA9YkUIPH0NCADb4qyntzhkBwfy94Y9oIo91KYJsU+4UbM3aUdg1sQz1I9yX2RoMvFMRw14AFsHfQ1Za2dTb6WDJquZG8a8AC2D0w33gPCoZz/U/PcwYHTb/B54fmu7oaATK58awBEhzowGfSwKJ4PU9PMs61PkoCPrTJgoC31OT2YbdxAGtjcjG8MG68yQXODiDBew8v6m8CRSIBU5C5JxnHPI/4/9VJoy2AES/LaGNw/DY+Bxp9fvg4f6DJPUVzTcHxxaaUIji54iKD8cH7If7NN/j88EjWnIhdUwLeUji1srvIiqLAHv0maN1prA0OBkjGMd63d9DVotFNtzpvKewddLUFTKH/azyhmBjS+9H3eXXSaPFZ9BgyjDiLgcaeCG7ramEvUIADwQc7BovE4qCMh9o2HSYBIbwcOICyIbHC0F8SU2VDYgVsSyswvQsPCsvfk19zfGkvCzuE1mWtp8ySRw3U4UyKWk+ZuHrK2vhK2DVggVFO0jUHR061BBBFEOO1yaPE4KIIomxItLqtINDx0OW5DsDRTsUBOBwRRQM4pEGuNFCjg5+9g66Gt2YMEwepdulqg2ztHtqB40oFwYYYYx11boRqTA4N3NDo4pwVwJkC9DhfJUEDPCiz46vr4qH1gAeCjTHw6qTRsGvAAlPwTm7gRQJ6cCCCMjg09xf+DOlabRZcAjbQ1eX+jPyQUbgxFk58cDUcGjsB7s8wu6DQwKHcFYWWpxRnQwI0cB8HlRKogVs4NxTaphp8fvhofga0BmIMv2sJ3IvEENIADm6I4v9Hs3Lg8KL+qgEZbQDHnYkzI2YFaayMLakyK4O7PUngBnVD2Zm+EE6vugBank6DfZnzTIwNCfTEdhkOWKNGDQVi6X4kLijcwGn0+eH0qgtgS2qhkaYdcG0HEtj1CxTofm70JNEYDtenUAYH6nlkEtyfkQ870xeKxhp/Vw5+0OPYTzUlF9t+e3ZlUMXOaUCkHWjx0fyMsMwNiaFzdElfUz/Hr+f3Yfl9feslKqChgSL/uDYB6pNKbO/hdbknY77apijYcVOUARxNycUQbIgx+hg+1pD6m43JxXB8aS9RL2B/RPul+qQSeOqK6WHdUyiD46XxV4rfOv+G6pNCSwFzQIr+aoY0shC48YwsA4lFQZkZ+zLnGcY+ByTod/fyhLFQ3QYISIDKhsQKeHbUZNPz+LtvSKyAw4v6G8CFxOCo9ZTBh3mDLOwUzuCgeVvHAALOZODuK+sSQgCF5LqC27a0AgMAkdxIDmTPMuWDAxAYBJSepwwRCbSgYNa7OVkia4cyTPAYj7fBwQ2N1cHLCGNsSCur4L113lJL7A3cXpk4Rg0wiu/MgRHcHs3KgTXxjotKexQH4HBEFOykl/fOtZ2FsjO46KzP7oH5JncVu+vtBtiaEUjvox15U3JohZX7M/JtB/8S4CH5ykqzq5xqLjEHpECX3DjnxhRndtyfkQ+PDZ0NwT+eB8E/94CWu8+FlyeMhfsz8o1VJMIBHhqrw+XqZEvptwMqNIo/fX8ENHakL4I9GfPhjWkjoDUQA1+/NQWCjTHwYGaesbwsNTq5G4q0hGakridnw9qQZsrtAA6cET96fR94b84Qw9iQZjglI0+ivEttnAIX9FhTcjGcXn2++kz8H00uKqsTZ4ouJNrGvyuNiaEd5216Z/pCOL7sUgjuuxRaquNg14AFJnaRBHBG2ga5n71ES7dri5pRi22l5e5zjQB+EjCg6Vw7lwytT9iUUgTHbuxtYRRREIAayLzdSwBHwBtiEgT3XGIY23bvrrmZ4FbnLYXg7u7G8+2ADApgcOAkXHlIgBDm/dDYCVDntTK8wgEWjT4/fH3rJRY3E1q3nJ1R5y2Fx4fNtGWYScBHnbcUPilIE90bpHFAjacMdqYvNMqNuwbxWftoAzh2DVgAW9OusWVi0G++0eeH/YNzDcaH5sbC9cGejPmqbqDL/yKTqsHnF8dZvL3uy5wHL5S1BwAAIABJREFUDT6/qf40FoQEVkjG8vNjJorHadrV7tDKKGioS8wMZHnUJ5XYAhM1njIj/obGOtiQWAGvTBwjsi4wvYC3FLamXWMx6BHgQPcMycjn+9Rw5wyH93MHW9gd9D+Nz8HfsdodCiBK64beW+Uuh8/9PhGc4O/I84npb04tVOt3/+BcC/tDYnLQfWRR1HjKRNcT/KVBRPk1WOaSe8q6hFBcFAp40ECim1MLReADzzf6/A6Do52KA3A4IgpfJpYPHqWBLDe6+MDqsaGz4UD2LNPAy24WQXoeHVjy91h22XWWd0HDE8EAPsNBDQPNgJBmWjT3FQnQCLfqCmcmcMOeMzsQLNg1YAE8PGQuBO+NgZaDAyD4lz7QUhUHL4wbD3sHXQ070xeaAoHaua8gwMFZFxzA4OCJFPOArs6ya8ACeGn8laHlcXd3h1N/HwXBP50PD2bmGUwUCqBIq6BIgVu1gKF2AUSlGBvcJckO3OBAGN1vSi6G5jvPg90D8w2Dixt0dkacZEBK34NkTDT6/PB+7mCTUaMBhtEGcEjBPiXAQlvlhDOD7Ngb6Bf/2uRRELw35EL1YGaesYoPX7mHfvP/X+9rwwYPRR1CZ2g1lxQO0KLxSY/zmfc6bylsSS2ElrvPNRk4XN9Wucst5+xADg4+0Oc2tDFFJJ0vtVHU7dvSCoz0XK5OlvsafX4I7rkENiYXW9p4ldsKwkiuJpS98UVJksFi4aCGxvjQruXPtTMg8bfOWyq6lmllROv13ZwsA6jQWBccGKnzlkLrPTGm9iOlzcv9mZFTjLZV4ykz/de2R7LmqKBTwFtqAomiyUVlZXwOtFTHGd+9Nrag7D8EqjW3SM7oavD5Ye+gq02gKAc7aX8U8JbC8aW9LN/Mby69zjLeCnhDAWjpeEtz7+AGtWYAV7nL4csyrwiO0PtrPWXwfu5gqPGUWYALuj03epLRdrTn0fPac7GdUyCA3rM+oQK29w+5ZXFggQIc78weKgITdgE3+TvvTF9ouYfe++JV40zuKvQ51e5yCN4bY1u++zLnmY6Hc1Gh57DNYFr8HRGE4O/MQR0KQuCxbWkFxjXc/WRdQgWcWtndAnrgNY0+v4mFQQELBDioKwwFMXakLzJAj1X9FsOqfotNAAi+j8PgaH/iAByOiEIZHNi5UcNMGsBJxhcfbH11XTw8N3qSaWCkgSPS4Drcpj23zhtaFu3Uyu6GEcGpnGg40AEE7nOQgw44whks3OCWXFakoJgSw0OK3UHjV+wasAAezMyD1tqY0Oosf+kDzYeyoOXuc+HYjb3h1Umj4cHMPNg9METt3pm+0LRMLI2xQcEUvnoK3rd7YD7sHXQ1vDN7KBwp90BrbQy01sSGgIwHLoLWmlh4dtRk2D0w3+RWgwAKz4vkdiIFbeXgBmXQcFCDuqBwYEOaIYuErUEHqK9OGg3BbV2NeC8SsMDbudam7RgcEpjY4PPDZ0UpJrcUCTjE/1EFcCTMEpkXG5OLRQaQtEnfFQU1MK7Gc6MnQfC+OAj+uQe8eNU42JG+yASOcKaGtNyrFkxU88eXDCGNvaGxNii76PkxE6H5zvNMbZQb2rUeGcyQGA38Xt5O65NK4Oj1fQx9K4Eg0r28T6EAR01bup8WpsLWtGtEA1tiovB4DzQPCMTyPHOXkyrhGN142WkbLTvcHhs62+h/aD+oARyogxp8fmhe201tBxzsx/u2pl0D92fki9dq/+vajGM6eWGnb2rb9JMGHEksjhX9cqJGP61KmA3vzB6qxs+RxhVNycXGRAyfRJHuqU8qgTenD7eMWTSdUOcthZcnjBWZtLR9YloIMlC3E4m1oQEa3Eiu8ZTBgexZItuCMzMC3lJT25DYGS13n2u0J8o0oG4Vz4+ZaJrhl4CYOvIsng/M84nlPS35RAYH3vtI1hwRNJBWDJFYE5gOB0To+wS8pSJwge96aOwEE+OFPod+exS8kRgdEliFcTC0654fM1FkgEhlwEEPBBoo8EHBjPdzB5tADwpmPJqVY2Fv0PMBb6mFoYHbG9NGmFxSaIBRfI7D4Gif4gAcjoiCnfStLAZHuNkaOqMnDeTqk0rgxPKe8GBmXkQzVVra0jvZGZbYYW9MLobgvTGwJ2O+rfuBtNUnlZgCf0UCcnAmAf0vsRC4v36kcTs0Gj0yKXamL4T7M0JgxBvTRsDp1edDcGsXaH0kHlof94HL1QlaH00MHXs0EYJ/6QPBhhgI/rkHBB+4CIJ/PA9aH/dB6wEPtDyZEmKM3BcHLdVx8EVJEjyalQP3Z+Rb4oNQtxXJiOT5kfIvlQuNt6GxNbgRKYEbfGaczo5roAaCXo0+Pxxf2gtaquIsS7Jq4F2474e2c+1aHLDWJ5XAsRt7m2brpW+EGl1RBXAQBkckgIUdO4oDhjvTF8IrE8dAcFtXaHkyBd6YNsIANTTgza4t2oGgGugmARpSm+TGKGenNfr80HzneQawbAdUh2MvUMOf62jazuuTSuDkiotMs8daH6LpdQpwUCN9R/oi+KQgzeSaYucqYpeXOm8pNN/V1eSaUuWWAQ6J/cFZIfR6DnhofVPAWwrNa7uZgAMNrKAz8misou7h7UECSfCa40t7mcpP64fpfajTOXBiV4cvjb9SbFu03KgRuTljTNTopydz+lkChdptDT4/vD0zGzYK90hgPGd6SaAn/49Bfmnd0vZK6/L+jHzD/UNjcHAmh2QU0+3tmdlGnUusCmwXhxf1N74vzsigrIunR0yzGOs8rffmDLEFZKrc5XCk3GNcT412mtanhakiM4IuE4v3S4Y8Hl8bX6myJWo9coBR6VpMh5YLtgeJhbE+oQK2pl1jAj8kwIaWJWW0bEisgMML0o0y4PnckBhyn+HMFY29wgGOA9mzTOwOytJYn1AB9UkllnO4PTF8hngvZYhILihr4yvhmZFTLIFFcb8pudg4fq0DcLQ7cQAOR0ThDI5wM2SasSbN8tR5Q9THBzPzTINfDojQ+/ism2QU8kE2H0RiJ9+UXAzBxhgjgjynfEvAht2sC//PDRgKjEgzuXaGvN2msR3sjDceFwMZGi5XJ9iRvsi0cdYGZXJQlxQpWCOl+XNjU3I/4YwWrWzCuaJI7ijhBooc0NCMyQaf3zAwtqQWQmsgBralFRhpSIaB3bcSKY1dMlI2tz1fezY1KGh60QRwrEqYLbYtO1CDu6JQlsaDmXlw6o4LQ0DeI/GwL3Oeyf2EAnBaG7QDMKRzGthGdQ8H17RZeuncppQiaK2JhS2phRa2gwRuSOCDHfghtdk6bymcuuNC1f3BDuDgz6rxnFlFJYC6e2sXaPT51T6Av5vGwKjxhFxTGkha3PiOZF8qE/58DXQMeEOxMGhZSXUpHW/0+aG1NsbULvh1ElDR6PPDKxPH2F7D66zOWwpHr+9j3KP107xODmTPEsuWz8zj8afm9o0a/fTCTWeCi4ZjYSBgjgxTPraQmF0BbygorTRmofVG9QF+l/x7k77h4L0xBsjA2RucJUF/NSbHhsQKeHjIXJXxgWlUu0NxImg7kUCOBp/fZKxLAEu1O7T0aziAA5c+5Wngb42nzHCDwGPIuECAo8Hnt7huaEEz8TwFM9YlVMCejPli4FH835RcrAIeGxIr4P6MfFOd8Xw+PmymLRAlMS7o/ceX9rKUNS9vymCxAzUQpEGmxc70hRaQAjealsTywLglHMxYG18JDT6/6BqD5x8bOtsEcKCLypo2Vsma+NAxx0Wl/YkDcDgiCnbSt/WdoxpfHFDQZvPoOQo0HKlMNDE5OBAizYhLg29tlkx7HzRWt6UVQEtVnLGSADdqNeOXG8ISwKEZNo3EuJGMczsmh8Zs0ICOcIwPaui5XJ1MLiM89gAPurgppci0UoTGxtCWx+TxCqSgodyQ1BgadjPlkQwsaX1r1H881uALBRINNsbAxuRi0YjD3ypl8CiBHNL9vE3jMfx2MI6CZjhKWzT5uK9OmGXb/uxWJ9revwCeHzMRTt5+MbQ+Eg/BXRfAWzOGGUEB6XcgBbFFwNIO4AgHevJZWAlc08A2zQDGrT6pBPYOuhqC98UZ8Rk4YKaBbRpQILEP+G+dtxS+LPNCnWIE83S4gcUZGLWeMwBHo88PLU+mQFNysQrEaGwLCYTYllYAjw2dbQLQIwU5woE+EgAkfZ+1njJ4fcpIWzYjBzZQV70ycQxsTi20BbikdnF82aWG7uD6RQM70BVC6qs1HUeBI6k8+Ux7racM7ssYHTX6aVXCbFv2BtcJuKR0OGCDjjt2pi+0BUY5IPbWjGHqGIlu9UklxqoiHODQYjtIrg7UCOagCL8ft1pPGewemC+CG7S94HKlkjGP99QnlViMd55WfVKJETxUu64pObS6Es8TZXBQpghnLdD/fFURes0L48ZbABJ8ztr4SmO5WwmA2JBYAZ8UpJlYJLzsvyhJMuVdY4hI4EmNp8xYQYUzMvC8xN6QAoty9xMOXvDt8WEzTeAFj8Px/JiJ4n1r4ith/+BcS9wN3NbGV8LWtGtMcTcowPHsqMkGwOG4qLQ/cQAOR0TBTvr2vnPUWTe7mWc0xCRDrY4MwL4s88KejPki0wMHntKAONzAGcEUbUCOBsPG5NCKAq9NHmUYGhqbgxvB0oCFAx6SoWPnky/F6eD71ODSgINwoEITMwJdrk4mUEKLVyAF+pQYGRJ9X4s5wg1GbZZcKysN1JCMyXCbBmQhayO4tQvsH5xrsDm4kSm1Nz6ry2eRJUNPA/zqk0JxDfD50jPtWE7RxuCQ4m1QhhLGi3lrxjBovqtryNXqgAdaAzHwwrjxsDN9ocFE4vE0NLeTcICaHdChsTYkMI0DG3w2VnJfQPD2q+vi4b05Q0xuCFI709ogGjPciNeADdxa7j7XeKYGctttHGxAgAMN8+39C0zgiQZwSMcog6POWwrBjbFQ5y21nJcYIJxpoPV/eNwOqKT7n/t9FgYGZ2JIAEaDz28EozwbcKTB54cP5mUadSS1J+neI5WJFtcGSedQnff0iGmWupBiKqCx9UVJUlTpp5XxOSYQUwM4UT80r+1mYnzw8QRnIFK3NjswFOsRA8Rq3zD93ZG+yPJtYD1JgILGBKD/EbTQXFgw7f2Dcw1jWTqPxvT7uYNVcAWvfTcny/ROEtvkQPYsU55o/AxM5/iyS03AAX0mBhk9kD3LYCVgGtx4lwx8PFblLocd6YssAAYFMl6fMlIFQKrc5YYLCQd6cHt9ykjL+XUJ1rqjAAgt81qPFeTB/Qcz8yzAihR7hIIa/D9f3hXL6YVx441reAwObFv8HJ5/ddJoEzhCXVDw3TjwgedfnjDWAD0cgKP9iQNwOCIKdtJPX93L6BS1gbEdyMDP8UFvnbcUPs4faBv4it5jZ7xpgy27wSYOHB7MzIPWQAzsH5xrmcHn/7UNgQgN+OADHG4oaWwOPM7jTtgxJOyABQpKoFHncnUSAQoJ1LA7xtknm1MLLWwMzR1HMh7tAI1wgRq12XHNBUBicWAaX10XD8FNsYZ/NAcX0KiRgMBwhiVvv9r3EvCWwonlPU2GRjiDMZoBjrXuGQYbAwPdYkyU4J/OD8WXeTQRTq8+H54eMQ32ZMyHHemLTGAG3+xANdp+7QAMfk4yUiSmkAR2UAOF1js/h/fvHXQ1tNbGGMwrrjM1lgI9VyUcswOz8R0+zh9oaZuRtlPqssG/J5erE+wfnAsvjb/SxD4Jx56oUvJa6ymDD/MGWVxTzpYBIn3DEjgigfXY9z10ea6lz5NAClrOdd5Q7I1NKUUiMIHPltrPB/MyodGnLxFK08EVagLeUjhxSw8V4NAAngAzkLVf3D6anxF1y8TaMQepbmhKLoZDYyeIoIV238sTxpqADqpDOHhVn1QCrbUxlrGQ1p6DjTGm70yLc0ENWYm1QQ3ghy7PtTW+8VnNa7uZnikBIjWekMsIvhN/Pm6PZuVYXGW4Qf/WjGEis4SDb9q7IIOjxlMmGvicwaBdw9kfnPEgsSQoWFPtLjdWYOH1gvmgwBEHaiSAitY7ugVyhgu+3+PDZprS5CCGxNxAUGJjcrEl7gZ1QTm8IF1ld+A70fvo72dFKSZGBwIYa+MrodpdbjpGf1f3q4QHM/OM/w7A0f7EATgcEQU76ecXn2+AD5EYUXRATQc7doYbzkofyJ5lOScBJ3xwxQ1N3nHbGY58duuzohQ4dmNvA6gIN+Nvdw1ne2hGUDjjvcEnU+LDgQUa6CCBHxzgoPdQYCUckMKZF9p7aQakxsyQGDEac0MyJvk+dUHis+fUYNyWVgDNd54HO9IXGddrAJzdbHgkBpIGftR6QqsRtNbEWqj/dNOAPbpFE8Dx4poYCN4bA1/fegm8M3soPDxkLuwemG/EkOHLwEosIw3QkEBHO8aGnfEiAW5cb2htkIMYdqyN48suNQxYid0jtT/uEmIHbkgAMxrqwY2xUJ9Uoup4Ox1cpXwrmLbL1QlaAzEmtwrp+8L/1GDi+al2l8OmlCI4OHKqBQyxAze0cuTlZwe08+/2SLnH5DokXaPVdbDhTPwdfo/GxKhPKjGACto+7PrZ+qQSODhyqgGKYJ1o/T/meUf6IhV0kmJvbE27Bhp9/qgCOFb0yxFBTg6e1yeVwJHKREu8Dt5/UQADJ0g05qEEfm5KKTJ9d7R90vZan1QCH+cPtNSZBHBo7ir8eLU7tAofv46yBdCAf3bUZAtjhLqrVLnL4aHLc00giASuUECAvxN9LnW7kGJw1HhCAVc5UILXYxBkDjxooIYGYAS8pSIgILFh6Hk8jvqRslAow2NTSpGhH9cJaXJmC/2tcpfDU1dMt7i10Hc4OHKq6ThlZ0j5oiAFAhzSuSp3Obw5fbgpDXrt/sG5IrhBAQ5p9ZTV/ULuKzT2Bgc5NiRWODE42rE4AIcjotBZiNZADOzLnBcRyIGdJy7tF24gRIGGVyeNhkeyZJcYbeZImonQjETtfemAwHBF2HMJHBw51WIUSyyOgFcHOzSjh4Me3HDX3Fg0hoPdzHMkrA4EOHgMDG1fYmQ0sH3pnewYKvS8NBMeDsywo/9rdSYZmXXekL/yqTsuhJaqOJM7il275INHaYAvGY3U0ODHEdw4en0fY2Yu3LdnZ9RGYwwOOwBDaosuVyfb2BmcUi61Senblb55DfyUXE8kMENic1Cjtc4bWt2itSbWiAkjtScJFJAADYn9UKOkV9Nm7LbeEzK27dombYN278XT3jVggVFfdoBEFcmP5EpCjbfmtd3E7wO3Om+phWHAjb1wYCXPL62zgLfUxLCh5/B+rS3gzP1mEjTWDtig7eSd2UNN4Jekt7hOCnhL4Ui5x6KnNPAM623voKst9SS5OeDvq5NGQ7W7POoADt7fU6Bz98B8Q7dgsNv6pBJwuTpZJka47njo8lwRsMd93nY+KUgzAYQc1KD19/iwmVCfVGIBpKoVcCMSl5V9mfNMIAUFCmg6TcmhFYHs0qxyl8PpVRdY3oeDD7sGLBABC/p8dAuRjHz8T5kL69i7I4PjtcmjDCaJBnJwQIMfQzcMzaVjY3Kx5X5ahs+MnGICeDmL47Ghs1VgiYNO9PlYHs1ru1mALlqeGMdEyqMWiwPz9srEMWIMjnUJoSV8NyYXm2JvrI0/E0PjjWkjTG4ma9j99UklplVT6HWvTR4lMjc4ELKq32JnFZV2KA7A4YgodJnYpuRQ5HqkxIYzriTjTRo8SQOxt2YMg0NjJ4gDMA3kkIAT7Xnh3gMHgw0+Pxxe1B9OrewOuwfm2xoskrEsualI//kxyaAPN6MsgQWSYacdowCHBnJorBHtmki2s2FrhCs3iTFjx7yRDEys908LUyG4KRYOZM8SWRvh2vTZMDTsgLs6byk8MXwGHF92qUpD14ANbVY2mhgcdyTMtrRVDeTTvqNIt3DfMDdg8H84cE2aeeXGrfQf2+qpOy6Er2+9xAAYJMOTtw3N+Nd+tbYV8JbCp4WpKrOCX29nFPPrA962FVMaYowgo3aghMYW4IyQL0qSDKYJvccOGJHYHPS9JTCIf+P0W6/zlsLJ2y+2ABRan0h/kcnF2Wd2fSUav8F7Y0zsjXDPrvWUGatp2YEgPL8YQ0EqQ77hLPtnRSmwIbEClvWeFzX6aUW/nLAAfIPPDzvTF8KWtuCiFMyQ+jXcfzQrR+3XJFDs8KL+EbG6aj1l0HzneUY/xr8LCUywc3NAY/iViWMsRjQ9j99Q811dTd+jlG6tpwxemzzKMOYl5sWGxAo4Uu4RARIKUiDTiN7L41ocqUy0MBsocOBydYKjS/pajHt0geBGPsaN4EAAZUBIQMdrk0dZwAu6f+zG3haWCs3H536fynjR0qS/H83PUAEjCoBJzBAN7EDQ4u2Z2abyoe4pL141zqgXyUXl6JK+pvQQyKDlLLE31sSfWSKWghoIaCB7w4nB0X7FATgcEQU76Zv7zIVaT8jfEZel5IPZcANibZMGTLWeMnhp/JVwpDJRHYhpg+ZwLA5twEn/02ciUNBy97lwpNxjzOJqtHHKGOCsDvprd07awhldHPjgMQIkdgU1/tBFJRImBhqUUtp2AMbZGpTcgKQDPz5jvmvAgrAghrbRQePDQ+ZCS1UcPDF8RkTAhsTGsDN0whk+9LqAtxQOZM+C5ru6mmblpTbNjS07IzeaGBwr43NEdlMjaT+RtDvtm7MDMDiQaQem8baIRq5du+SGK7YJvHdr2jUQbAzF2uDXacYlZ21IoIAEGEhbwFsKLVVxBlggbRLYrAEaCECgXm30+SG4KdZg3ND2r7mT8HzgYByf+dDlubAxudiSjsQG0UAOqawiyT/91p8fM9E0y07PcUADgR0EKT4rSoGNbbPc4SYBaLt5dtRkaGqLqREOIKVAzNElfUXDWMtvtbscHh4y18LcoO2OAxwvjBtvGEfRBnCE0xENPj8cu7G3qH80XULBUzudgdejDrQbM2FbrU8qMepDYtpwBg416iXwAv9vSikSARBqINd6yozlYbmRTd8BdY50jh67PyNfZBvQZ/JApdzIr3aXw4d5g0TQgDI4kAXCg2ZS435N/BmXB34OyxsNdfweKCBzf0a+yBDBPB69vo+JRcIBiA/zBqlloW21njKjHHamLxSBi3UJFbAltdB0jK+OIsXf4GAPX/4Vf18af6UpXb6KCrIw6P34/+Ehc03HaCDR1f1Cq6Tw4KL4uzG52HTOYXC0P3EADkdEwU56ee9cY5DUlFwMwXt1kEMbLIcDOOjgFjvmpuRi+KQgTTQyNcPQzpisEZ7FB3T0Px8kbEopgpbqOHh7ZrYxYKB0ULvZWWkWV5vxtZvtkdgM9JeCGxKwwMESClpQgCMSxkUje67maiIZlBSksMuTVhb0+VJZcgBDmxnH99g9MB+CG2PhxavGiRRuzRjQvgHJsIkEeKPt74nhM+DDvEGqcSEd055L3y+aAI7ftgEctD1oLCje9sMZFOG+TTvjIxxTiIOjmpHL99FYOVKZCG/PzDbSk+qZAl4SMKAZ8fR+rp8xzTpvKTSv7WYC3qR2qelf6Tuh+3XeUmi5+1wjyCW6O1azvFCjmR7ns841njLYNWABHF92qWpoS+WjASnS+1e5rfmRvutGnx/2ZMy36Bep/+HGaoMvNMlQ57Uas1J6FHjHGCm8bUlGL33XvYOuFvWgVKfSvlbW1DD9pCDNMLyiDeCQ9AaCVfVJoeCi3BXWTscEvKXwwrjxar9GWUG4/7nfp/ZntD3XesrglYljIOAttQU4KGgggRUcBNicWiiyMbibBOabu0Hw5wYbY4w2JL0HsoIkNwrKmKhyh2J5SG4ZeH2gbexHwQd+jcvVCarbznPmAL1eclHB7YnhM2BD4hmDn8eaoOwTKW2ckKN1gWlhOVEQRaonDtzQrcHnN0AX/g7rEipgZ/rCsG4pHOCgMTb40q70953ZQy0xNmg5P3R5rnjfmvhKODhyqskthbqp8CCjyNTAjQYYdVxU2qc4AIcjolCAAwcrAW+bv/c9MYYhKIEH0oAn3MBPGuQhlZcanXSwzQeCZ2NIhnsf6Rl13pDvdHDPJXB8aS9o9PlNAw1OEw3HKLCbCeaGl0aPt3Pt0BggEtCBAEc4toUEmNCZ8nCMEw3I4KwMO4OTG5P0OAc3aP3xc1vTroHgxlj4tDDVFL+AgwoSWMANLq1tVQnnNIMB2/y7OVnw8JC5phlcO8MCB6TSu3ADLZpcVGgQP9rGpO9HAs40IE0C1cIxM8IxMrBNc4OEtk3JUEW92+Dzw3OjJ0FrbYwxE49txg5gk0AMDghoYDRnAaDR21oTq9Ldw+lZO4ADB+lHyj3wYGae8T2iAUHvl8AIDbTZnFoIR6/vY5SVdD3OUoY7JgEqWj/CfwPeUvisKAXqvNbAoFofhG2jPikUiBJjFGh6RAI5Xhp/pQEWhQND6P7hBekmHRoO5KjxlMEzI6dYgA0JeMKyxT4HDanf9IoegOP2vnPCgqYnbulh0lGarqHH6eo5EmhKv9nNqYWwL3NeRABVwFsKp1ddYGrbEjOCG9gaKwP30Xin11LGBwISp1Z2twAT3NCucpfDG9NGWMAL7tLyysQxKmiB24tXjYNaT5n6/lXuctiWViC65dC84yoqHFyQDHs8hwY2pvP6lJFiAE58Vo2nzMLMoL8bk4sNnSUBPtv7F9iCUhw84eV1cORUA+CQNgwCiuUmgSCcvYH7DT6/yL5ApsZzoyeZGB70POaJr5JC43NIq6es7ncGZOGsDrzus6IUWNVvscPgaMfiAByOiEIBDmqk1XrK4MHMPDi+7FKRyWG32XWy2uCuPqkEWmti4eDIqWc9sy4NvLXZSfzV0qGgCxr0rffEwMf5Aw0AhoMXmqGDv9vSCizGkjSzHIkxZufaIV3HwQnO4JCADZoGZ3BogIbd+/CBnTRDjmWiARiRGJpYb5jWltRCOLWyO3xRkgRNbcCGxpTgx7mBqM3sakamXdtXpT4NAAAgAElEQVSv84ZiGnAqebjvhoOKkiEbrQAHb0d27AusZ+36SAANrR1q7Q/TkoxWO4MTfxGIaw3EwItXjTOlJQEHdqwDDQDQABDexralFcCpld1Net9Ov9O0EITjz6CAQX1SCbw2eZTBpMJ0EOCwM5glIAKf+9V18Ua52d0rAR9VLD0OcEh9nwR2BLylsC9znlF2Ut/CgQt6vMHnh5bqOAsLg95D9RXtP5vvPM/0XOnZHNyoTyqB58dMVHWP1ka2pBYa5aSVLZ2hP7wg3WRARhvAIekS1DWNPj98MC9TvAbrgPdz7+cOVtkb0nZ4QbrtBBBt5/VJJfD6lJGWOpPcRSTwAJkG1DiucodALIkdQK+r9ZTBp4WpxrM5qIG/ON5AY1tiH1S7QwE3qdEuGfRHl/Q1PWsdy0O1uxxOv3SFxbCnBnqVO7SKCj0vBcqkYIXE9MBnoFHPn/XMyCkWUIEyUV6dNNqUD17WPL6HBOrgf17+GxJD8T3wHSU3lwPZs4zn0venZUAZHhTMeGL4DNPKJ2tYmVW7y03gCGVobE27xlSedPWUNfGV8PyYiZZzCHZsTi00AR/I3EDGxiNZc0xuK04MjvYnDsDhiCjYSd9EGBw4yKvzlsJrk0eZgttJg1ptIKSdl8AF7OD3Zc4zUfY1o4Dfz98t3ABNS0t6Xp035Erzj2sT4Ei5B7amXWMxpiRDSPqvsRPoeckg08COcMckBkck8QooU0MCTcKBFzR/dqCNVA50wKcxZCRQo84bovY/mJkHzWu7wdElfW1dUSKZ7Yr0fCRtNdDWjoKN5qUwI5kxrQ3zXvzYrVEGcGiMHm4c8O8rwK7XmBmRMrEoY0hiaVCjUwI2NN3SfFdX+LQw1QImS2wCCdjioEaVcL3Wfig4sSN9Ebwze6gKBGqGvQTESL8Bbyk8kjUHPswbZGI4IMBBwQWcqbRjcVS5QzPSzXeeB1vTrlEBIH4PMgvsyjGSvkwqB3QV0MAFfpzqsX9cmwCNPr/aXuj1FKh4Ydx4C3vD7tl47o1pI0zsMbxWMpDx/64BC0znJGCDGk/V7nJ4fNhM49i6hOgCOKiLCtcjDW3gBrJA6XENuK9PKjEx+zQGB203B0dOtdSdBGjWekIBeHndcUNXMoLpzD01nhHc4OwGClrgfqPPD1vaXFk0NgUa2qgLNMCk2l0OW1ILRXcLNMKr3eWwd9DVlnToM2s8ZfD2zGxD30ixNeq8oWWs0b2Ex+Cwc9PAazB+BR7nLJm1xFCnz6fMlVMru5vKleZ1Q2IFfJw/UAQztGMUrKhyl8MXJUlivXD3Gfpu9P153A1aFo1tDA4KTuBWn1Qisl5w/9lRk0X3Ftx2DVhgCSyKrI2tadeYziGwgf/rvKVODI52Lg7A4YgonMFBBzPYeR6pTISTKy6C+qQScZCnzRZoRhs3MOkAC43AUyu7W6je2oCS7mMnrs1UakCI3TvSWdqm5GJorY2BYGMM7MmYbxjvdrMsknFuN4MsGf52DAgKINDrNAYHjS1Cr+HPoLE0JPBFe670Tsig4ANBO1CIlxmWrWSYNvj8cHDkVAj+8Tw4efvFxvPsBvh27UH6zwf6Z9OGaj2heBvBTbHGdxTpe9kZmJLxWuspg9v7zmn3nTQHOCTmE2f+aCwM7RsM958bE6gT69gxaTZeO47PaEouhk8LU42Zd7wnHHihbXwmXTNwNND308JUk6EkgWqRtHeNSVLnDQUKPnp9H6hPKjEB6tXuclMMDjqbKzEE6DsdHDkVdg/MF402ydVE+mYkMCQcsMEBylpPGbw5fbgIqNL6x36Og2Qbk4vhg3mZFr1F75P6vDqvdbUWCdzgv3XeUji+tJfpuNZ307Zzf0a+WJ683vD3rRnDDOMRDaJoAjioiwrvCxt9fgO41Pp4fh9lG9KxhaRTAt5So83QcZQ0Hqtqq8MTy3sa3x11+aAAA2cAcFYA398/ONdiTEtgycnbL4Yaj+wuQtvMkcpEU5vh7JIqd7mxJK3GeFifEIqtwfNEjXssEwqUcAbGuoQQcIAMDgQ5NFcTHngT00QXDHqcshUwX9wlCPer3eWGG5DEytiQGFotRgKq+K/EeKnxlBlLwPK017WVJb2HgxlS/jmgI4ETa+Mr4aHLc03p8Bgar08ZKd67hgAtkvvJmvhKOLyov4XBgdcgm4bet+QyB+Bob+IAHI6IwmNw8MEyDqC+KEmCL0qSjFm3cIbe2QAcfICFHfvxpb1ge3956TrpN5yhGsn7SWAIHVBsSikyDOrPilKgeW03eHtmtmlQohlIGuihGWLSzHM4FoTEtKBghsvVyTZOhvYMOzcTDnLwmfNws+bcaOTGo8SOwes3pxbC534fBO+NgadHTDMYGxwUo+CX1G7OBtyQZjjt2nbAWwpvTh8Ob04fbpq1lmZL+bNo+vx9pW8Qy3Lf6Ix230nzGVINpJDal/QdasCZBGRI93EjgxuuGthBtzpvqUFZbzk4wLRSBjdIpPaHupkCAxLAwcEDu3Ya8JbCsRt7Q1PbyiOSTtaMXg1I5u0VDfjWe2IMgI/nDV1UkJURjrlR4wnFCjl1x4XGe9q5S3CDXAJL7AAlqZ+geqXB5ze5e9iBl9xIrfOWQmsgxgD1efvS7gt4Q7E3mgT2RrhnI7OAtgOtP8Tfx4fNtJSVVOaUvXFyxUUW4zHaAQ78vydjvgnclyYzuB57NCvHoos0HRPwlsKJW3qY6k5qu1hnW9OuMQJJSuwNCTCgBu86YR+Nb40tQNP+6rp4w4in4AplE9R6Qm5y4ZgE7+ZkWQAa/t5HKhNFg58a+M+OmmwY79Qgpy4gT10xHVyuTiJLgxr13FWFggAvXjVOvX99QojhgGVDz+Ev1jnNL2WCYB1rIBMHGfk1+HxazvT3kaw5pveR3lNicfBgoxLA8crEMZZr6XVvz8y2uJ/gtjm10HQPBzFeGn+lGoNjR/oik3vKHX2dZWLbozgAhyOicBcVOmDhRtMH8zLh08JUC6VVmxE7G3BDOl+fVAJflCTBWzOGmTp4bRBtN/iWjFRqXGI+IxmQ0sFFgy+0vv3p1efD6dXnw870hQYYEA7gkIwu7bjE+qBpSWwKClog6IEMDn4dv18DVHiQUOn9NGDGzgjVjFSp3Bp8fjg0dgK03hMDn/t9JnCJt027diYZfhKQwc/XsvulNolbg88PJ27pAVtSC20Nj3Abb8v83eis7JvTh8Pzlee3+06aGxDhwEMNLNSACw6m2bE2+Hd/NqAG1RXv5w6GYEOMKditZpTYMTcoy0BibPC2LLV7bC9flCQZLlO8bWMaErgWDojB6wPeUtjYtjJXQ5tBLaVBXVQ4A0MCKQLeULBE+i1wI1u6TwOGJBDJDuTg3zwGOJW+cw0Uw/a3J2M+7EhfZLQJLHOuv3i7a/D54cTynqa2ZPdcmgYaxnZ9Ku8fH83KMYEbGpiEZY+uFtxYvSGKAA66TCzVQQ0+P5xefb7FHcWuT8T77HQdbT8b24K30rEMbbccwGupjjPVH2VOSDP+GnBADeNqtxWk4GwLBC23pl1jSkdiLLw8YaxhjNuBJchW0Az6DYl64FPKGmmtjTHKgIMOmJ86b6nB4JAM+TXMqEfjnAIq+wfnWsAD+jz6rusTrO/yaFaOqax5PW3vX2CclwAqicVBQZznRk+ygE70vkezckz1vI49h7r08PKp8ZSZjnNACFdQkVZIQXCFx9bg7iuUpUEZHLsGLDAdp9v2/gUGGOLE4Gi/4gAcjohCAQ5U8tIgGkGOI+Uek7vK2Rpt0mDZDvyo9ZTBI1lz4NQdFxr+6dKATTNcafp88K6BHtpgTxtkovHSlFwMX5Z5oaU6Dj4tTLUscaoZaXSwq83q2A2M+H3InuCsCwQ4JGaGNgiL9JkSMGE3o07LAtuWBm7g++0asABOLO8JLXefC7sGLLC4BnFwQRusS/sS2KG1Kc1w4M/f3r8AgptiLcaj1GbDfRNam+WG5BvTRkBLVRys6JfT7jtp1E232QAc3FD8Z7daT5kpXgsHL3jdasf5Pn6Lhxekw8kVF5nAOKmONZBDM8K5O4W0aQZ5o88PR5f0tRi5HHSxS1tya6R6PuANrQbR+miiKb6IZIRpQUY3JFaYjDLM74lbehjpaWwPya1FAk14GloZan3KY0Nnm9qMXX+G5YLfbIPPD81ru5n6N0lfUBAOdeYb00aYYnZEopsC3lI4en2fiOIAUfBoR/oi47jG2uD/j5R7LC4C66IQ4OD9dX1SCWzvXwDb0gqMflbrE+mxN6aNsICyXB/RMcjxZZcabYmPb3h7rk8KBffl4AEHBXhdcXCAX/Pa5FGiEU3rfUNihRHnQjKg6dgzeG+M6RpqROPxBsJ2kN6TjmMlsAaNcXR1keJpYDoBb6mhnyTXEm7Mc0YHj7fBjXt8/08LUy3uHxobRQIwXrxqnImBoQFU0lblLofDi/pbACBarofGTjDdI4EcnMWCZYQuKDT+Bq0HugoKZ3fQMpFieLwxbYQp5gZ1UcF34AAHghoHsmeZGB+r+jkMjvYoDsDhiCjYSS/rPS8spbfWU2YM1j8rSrEMjLUZPTuDUtvoDBYaCV/feokxE243MKMDSD4go2nTfQrkaIalNoDkM3J13pB//ZHKRAjuusBYnpSCCJKBZTfLzGel7QAHu1gd3EWF3yftB9gztfcKCO+lzZbjAN0O6Gnw+WFr2jVw4pYeELw3Bt6aMQyakotNtH5aF7TN0DarDdglw6WpbRk2u7ZqB+phHt6emQ3v5mRZZlbt2pcdAKOBHHgs4A0tO/uPaxOgPqkkqlZRoQwObavzRsa2CAdgaECGZrhqAGidN+SKcqTcA6dWdrcs+6mBBHZuGXzjbVUCdjWD/OkR0yzsB619SbpS+0a4Lt2YXAzBTbGGEY66mBvINR7rKirSdfg+nxSkGUZOJMBGuLKk7y2xGHkZUUAn4A0B/7TPoW2G6iXaN+H/d2YPFXWa1OZo2vVJJdBSHaeyNySAo6atbX7u90Gdt1SsP60/f2PaCIvhLAEbuF/nLYXdA/MtM8brEypgWe/oATg4wwz7rq9vvcTi+qmB/Pj/4MipYr/IdRbe99L4K8UxmNRmX54wFmo91tgbEtjBWQLc2Ka/O9IXicfxF9tLS1Wcqc3wa/H725MxX3w2PfZ+7mAxjsQ6ktYrE8eIYA39xVhA0jXoRnP0+j5Q5S43uahwUEMCN+i1+wfnim4pdD/gLRVdU7AMKQDCwY31CSEASTrPAQj6jZoAlHKPyuKhbBteRlo8ElpGewddrbqpYHvgK6PQAKLcBYVeiy4oCGCs6rfY+F+fVKKCG6v7VcK2tALT/qp+i50go+1QHIDDEVE4gwMRbz6opIPdgLcUDi/qD8eX9rLMAtkNBiMx6uigUBqYvTVjGLybk2UKyheJ4SkNVvl5bWDAZ0a4sSy9B5YTGumtNbHQWhsDJ27pAZtSikwDn3Cz0WgwSUwQvlH3GAnwoABHOLAkHCsD/3NgQsqDBuzw8w0+PzyalQNflnkhuO9SOLwgHTYmF9vWtzZbqbUxO6MF61NrR1La1IB5eMhc+LQwFTalFImAmNYm7QxUu3dBcOO9OUPg61svMeojmgCO2/rOUb8LOzBDOq7dW+OxGhESgMF1EzdmA95QXJjmO8+DU3dcaHyPVIdoxjUHDyQdTAEByVjXnoHHA95SOLG8p2FQ07ZIy6iaPEP6bnjb5zq91hNyn2ipijN8/nk+q9gzNICDGtE1njLYPTAftqQWGn0VNbDtmBu0b+OgRjjQg3/7VO+/PTNbbSu8feAxvLfR54dgY4xJv0ntkpYx9gfv5mSZ+l/puZquQAam3UbrGeOz2AFwWBdoRH/u95mMKLpFG4ODMhkbfH7YlFIET10xXXT71PrYx4fNDAvkUh2FADpvv1yXYBs+dceFFlBKYm1oDIB1gtG7KaVIZEhwdkatp8wICkoBL8q2qHKXw8GRU6HGU2ZKQ/q/WQgKykEVXFGEPocyIzYkVsBnRSkWAG4dS++DeZmwPqHCWEVFMuKpYb4+weyysj4h9BwOCHDWhwbErE+oMMZp0jVYfrUesyuYlD5/FtWrjT6/WJfrE0JAEAXEOPuEM1I4AFSfVGJhXyDwsHtgvokNw918Do2dYClrytDYllZgHOfuJg9m5onuKXhdrafMAnAs7ukAHO1NHIDDEVG0GBzSAJEOehBsQB9TbRbBDmSQjATJiKT/0YBoqY6DTSlF4kysNrgLB7hoxqSdIaoZv3QgSwc+G5OL4eSKiyD45x7w1XXx8NjQ2dDUZsDTwU4tu9cOQJCADwnAQIBDY21ogytp1onPnIcDaHg+6Hs2JRfDyxPGQnDXBXB69fnw3pwhRplo9cvLXALEuLEiHbczbiIBuWi7/LQwFZ4bPclk0Eogh5SWHQjDj3GD/N2cLDi6pK/puct757b7TpoDHBo4oW38O7K7VjJENZ0iPac+qQSeGz0Jji+7FD6Yl2kAG5G0LzuQQ2IwSKCH1E54261PKoHmu7pCHQEwpPulb8MOCJBA8KbkYghu7aL2DRL4QIOMSulWu8thU0oRHF7U3/TudsyMSIEPTSeE+x4fHjLXAIy1fkdrQwFvaIUyaSlrqV3SNOqTSuD4sktF9oYGcCAw8kVJki0IIuUZ/f952UpuKWhwvTT+SpG9sS4heoOMYj8f/Esf0UXVDuDAYJd2eoueezcny9SXSG0av1t0oa0S6o67k2hAB4/ZsCGxAp4ZOcXCFpCu+zh/IFS75fgRFAhpvvM8leGBvzWeMtUQpwAHj/fB81PtPrMsKgc4cL/KHXLt2ZBYYcTgoAa8xF7gRj4+i16znvyuT6gwxROhZYcuGs+PmWjkWwIsaIBQO7BEcjHakFgB+zLnGSAlBzHWJZyJv6EBQRKbhQNFnJ2BZYErpHAXFDyP7itSEFG8hsfewN/9g3PF2Bs0RseqfosN1ofjotI+xQE4HBGFMzi0gSAdyOAgts5bCo8NnQ2tgRjLDLsGcoQDFeiMGR3Y4TNxq2ubiXo3J8sys68ZlHbGpPZu+Fy7vNht/D0o2NHo88NjQ2fD6dXnQ3BrFzhSmQgPZuZBI4uHoYEDHGiQAoRqAEdAuF4CU+hA62yADwmQQUClsW1J108LU+Hkiovgi5Ikg9VCnysN7DmYYVd/fJAuGWVaW4ykvvF9dg1YAEeX9DXFGOBtDvMvtS/pPTVDgxsrJ27pAcdu7G2UGV4XTQDHrX3mWgb8tPwlZk+kgKlWr+HOY5tu9PmhtSYWgg0x8NjQ2aaZcQ280NwmNP2LulfSw3gf17sUkKj1lMFDl+fCB/MyLWCD1g61a+w2vKfR54fgxlgjoCjV7fzbo3mhDA4OUOA31HpPDAS8Z5Z+pLO/1FCSQJQqlh59Bymfdn0FtoHXp4wU24ymu+h2f0Y+vDZ5lEnfaffy9v5ZUYolZod0L3/fp66YbgBvGtDK96U+XQI4aHljPABujKFhE00MDr6KyqaUIjg4cqpl0kLqa3HDyRqpz5WA1adHTDMYWLStSrqkxlMGx5ddavreNFcEu00CJHDWn7uw0K3aXQ7Hl/YytRcpvRpPGbx41TgRjKDbO7OHitdQYKCBGfwSkwF1ima4r0sIuY3g+6GLirRKCGV2cIOfs1YkV5WP5mfYsizemzPE+L+O/OKxQ2MniOwYDeCh56rc5fB+7mAV5FqfYAayOLDBgR7O7gh4Sy0MDcrkeG/OEAuAgQDEuoQKeHXSaOM8ByckZggCFWva3FckcGN1v0rYklpoYXU4LirtUxyAwxFReAwOjupLg3A68Al4S2FH+iIINsaY/Kz5QFYz4KTBpJ1hycGCzamFcHLFRbCxbZk8zQi1M1y0wb3dO0aySYNUWm50w4HRMyOnQEt1HJy8/WJovqsrvDFtBGxOLYSm5GJotFntBAdJPG4Gn1nCIKN2M0k4UNOAC25sckCDxvxoSi6G/YNz4dPCVGi+qyucXnUBBBtjYFtagQnI4QM5u7LUgADNOMHfWo91MCilLdWZ1J4C3lL4MG8QfFqYagEYpLai7Uu/1e5y2NwWb4bfhzO4p1Z2h5cnjLU8u9pdDjdFEcBxW985ImtCAjIkg1Ay/sKBGFJ94f31SSVwcORUCD5wEXxamGoEENTaJtefEsCmsQsk/cuNTDvdFfCWwlfXxcO+zHm2+k8y9uk5OwYHXl/Xpo9bD3hMYJ8E8tBfNG4og4Pnu85bCsH74gzXL3oddTvh99Hyl8Ak7XkaAErL5p3ZQ9X2R4EBfg3q+5a7z1UDZ2vttdYTWqqcuqdooAbtb2o9oaDHx5f2Eq+V+kDM71szhlnKEeuNGsvUoD12Y2/DCJOo+dEGcNA+79TK7mLQbmkCAbcnhs+wAPtU19H2QFk4ml6g30PAG4rzgnWmgRccqKAGNWcCbEisgIeHzDUxGjRApNYTYnRJoAYa2FXuctg1YAHUeszLnHIgYENihRHPAs+jWwhlJ/zj2oSwYM1TV0w3gSAUrMC2evL2i41nSTE4NOYCPffa5FHqd4Dv0uDzi8wLLB9calkqjw2JFXB69fki0MNZFBKgVeU+487DGRx47OkR00zPX0vKXMo7/aUAheTaI7mgUHefWk+ZJe4GgiA70xeaWBsc7Ng76GoLgIH7m1KKTMfv6LvYcVFpp+IAHI6Iwl1U7Cin0kAQB7ZbUgshuL+XATTwQZ4GIkgD5XDGLT9e5w3FBEHfYj7zoQ3+7Z5/NsAMDlrDASW0TKTZZ+7Ogb68hxf1h9Z7YiD45x7QvLYbnLz9Yjg0dgJsTbvGBHzwZWHDuahoM0raMrA4uKIMEHxuU3IxbE27Bt7PHQxHyj3G+55ccRG8MW0EbEkttCyfG4nByQf8HEDQjDENaODGYyQGLgVIsH72D86F48sutawMEc5gkNoT38cZeZ4/OsA9dceFsC9znsmwpnmLJoADGRzhZrntDD3enqhu0o7jf2zrjw+bCceXXQrBbV0ty7xKuoS3NQ2gsGNuaOlowAPND7JLsI3wstKACu24HchR6wkFBwzuuQSa2voAKV07UAEBDnwWAh+1njI4vfp8IyAgN7LpjLIdMK/VhaQv+HN4+aJritQO7dodtqe3Z2aLLpYaqEG/fRprR9KR0vPrvKVGGfJr7Po21PFae+UgR5W7HB66PDSW4AYbNQajDeDAfhHdLSWGpMbkaGoLQG43gcDbwIOZeRbAXvt+D42dALWeMst3ojEzqKGrsSjWJZjjYFADl3+TR5f0NdoDN7Lx+mp3OTSv7SayO7ixz9+Pu8NUu8vh1UmjLWABZz2cXHGRJU8cMNk9MN84jwAHj6+hGe94zcGRU1XjnzMt8Bx912p3uQgQ0frb2HaegxoSYMVBkGp3uRGgdF2CtT6RDUOZGTRtCnZIsTkeGzrbsvIJAhLrE0IMDx5AFPcxX5S1QRker0wcY4m/gecwNofE0ljdrxL2Zc6DO/qeWT0Fr3EAjvYnDsDhiCiRuKjwQSMfXGMnvDm1EIK7u8P9GfnqwJ/PSEtGqB2gQA0QPmhs9Pnh1B0XWp6vzfDyZ/OBrmasanmQBrMa0CEZHHwwSwc66NrR2AYmbEwuhhfGjYdjN/aG5ru6wskVF8GJW3rAP65NgE8LU+H93MHw1BXT4UD2LNiSWggb2+5xuToZoAgFRuj/BvacTSlFsHtgPrw9MxvenD4cTq3sDqfuuBBOr7oAWqrj4PjSXvD1rZfAG9NGwNa0a2BTSpHF/1gayFe7zQFapYG3HfAQSbuJBFiQ6k0yHNBoPL7sUnh6xDRbYzrcu9sNTKkxyN+l0eeH4L0xBruDp41tOBpdVCQjMNy3pdWB1E74d1fnLYXnRk+C4NYu8PWtl8CuAQtMhqVmUNC6kNgY+J/rVcpE4OAGXqMZpjQvgbYZ3o/zB4ruewjGhmNl2G30mQFvaSiQcm2MxUVHAjQkY7nGUya6qNR4rCumcFcUmp7kosIBEfrLAQ67vonm983pw9X+RNIdeB/2U8GNsRa9yPsCnk7AWwqPZuUY/Zv0XEmX1XpCgAzOkGvfjVT2jw2dbSlz3mYldwRuoPItGgGOBp8fvrou3rIkLAc0+Lm3ZgyzMCTtwKt/XJtgfMO8/XIdU+Mpg5MrLoIaT5mlviTjXmMRSGCBlAZnFlS5y+HLMq+lPfB2U+MJudFJwAt9vyeGz1DZHXgPumBpwAwCJfsH51qABQpOYHnhPsbgwGv5kqfr2DkKYHDQgW470xcaz5C+l82phVDjKRPrB8tOA36kvHNACNucBmrtTF8othPJVYcDQOsSKmB7/wLTOcrSwDgpGsDxysQxpjLlQMeb04dbVkhBsGNjcrElqCgyNVb3q4Qnhs8wMTfwvwNwtD9xAA5HRJEADjqQkQbjHODAwVCt50xwuRevGif6iIb71QwPu8EbPV7X5jbwzuyhFvqvZsRKRpMGsGjGhfbu/+zGB8sc8OCzQRSYaCSMiudGT4IXxo2Ht2YMg+NLe4HL1QmCDTHQcve50HzneRC8Lw6a13aDE7f0gNOrz4fTq8+H1toYaL7zPDh2Y2/43O+Dd3Oy4NlRkw1XGQRIOIBh5zagDfylQbpdeWqzrZoBawcgSM/Vyr8+qQQOL+oPx27sLfq+owGiGRx27SWcAYntenv/AmgNxIgz5NygizaAw04P0HLSyt5uH78rDHj7bk4WtFSFgLsmwtTQQFupHnh9cKNcYxdodSqlL+mIRp8fTtzSQ3XZk/Ss9O1JRr+k8wPeUHDd5rXdDMOCXquVh5RnvopKjacMDi/qD5tSikxp2pUh76ckMEQrb02f8LZy9Po+KhhqZ5xiO2u+q6thBEcCquJ+nffM8q6ajpVAz4C3FIIbY1X9xOsUywCXNpb0iwRwVLnLLcEKJer6uoToCjK6ol+OEY/n4/yBqvsnZUjy2Fm8/6RuKVxPPTtqsu33inVR4ykz+utqUl8ac/acfgAAAB81SURBVCMc2EHBjcOL+ovMAA6CYP7sXE42JFbAI1lzTO1GA1keyZojghbUaMdApeuE5+H/jW0BV/kzaFt9e2a26TwHOCTGBhr3eF2Dz68GI8VjL4wbL4KAmM7hBemWcqHbw0PmWtgpdsAULfcNiRXG6jZaXb40/krLtywBNbwcpBVRODD08JC5JkCDMjTWxlfCJwVppvgbFMxYG18JDT6/CnDsyZhvYm1QlsbqfpXw+LCZFvDDicHRPsUBOBwRhQIc3D1Fov7ymUU+MMJB9te3XmIs5xrJzLxkXGoGizSg5Pt13lCU8TenD7f4toYbiPIBfaTGsrbheck459dxo58OeDSjWouVwWeKMAYHdWehG4/vgddJ6UrvJJWvNhspGRORGPuRgAPSFq4NSgYj/j4+bCacWtkd9mTMF0Ezrf3aGU60TfC2Qb8tOqgN7u5uGHvc4OOGY7S7qEi6QKpTTWdQF6sD2bMg2BADwX2XwqeFqUZsGJquHXgRjp2gXUd1qcY80No/1yUBbynsyZhvcZuK5Puhhq6WV+lbwjgwewddbXGV4nmQ9vlzqItKracM3pw+HHamLzS9G38XpFhzcF5jHVYLx/Ab1HQ+bUPULUzSb9h/oG7kOnz3wHw4kD3LNg2uJ/DeQ2MnWAK3SnqV778wbry4nLvUHmhbeWL4DEs74C4pnL1x9Po+JkNaMtqiNQYHXRbaLu4GjZOFTEA+gcH1Ff5+UpBmAbe5XqB6o3ltN6jxlIn1pTEc7Gb+8RhnP3DXCWwnx27sbeg6bljj/VVt7UZ7JzS+NySG4jFQJgh/5yp3OTwxfIbY9ui7tgZiVNAF/78zeyisbzPWNyRaAQ5u1HP2xvqEkHtGuBVG6pNKLO9I83+kMtHC7KDv2nzneSKwIYFJ0v/35gxRgaW1hEVB65mDPFresPw4OwO3D/MGWZaNpQDH0yOmWdxScKv1hFgt0jKwa+LPABjI0OBsDgRCKINjdb9KZxWVdigOwBFF0tzcDDfddBP07NkT4uLiYMiQIfDwww//U2lxBke12zo41Aar0mARO+I6byjSe0tVnCn4qJ1xqRmDdKBnN5CTrm9KLobWmlh4fsxE0wyjNCi1GzhGaojzwbKU30iMMWmQywc70uyOBEDQwRVdRYX/8vtrPGYQgz7XDszgbaGW5YEO+qVy4eUmzVhzY0pqR3ZtTTrP87QtrQBaquPg4MippoGnlh5vL9qzNaCL34Pf0RclSXDilh6mWV/pm6Hf4k/F4PghdBMCHNp3L31f/FosywafH54eMQ2O3dgbgptioaU6DnakL7Is1cnbXZW73BIDQmMN2IEgND2N9s8NbwkAoXVfn1QCLdVxapBnSbfyb0sDEKR2WuMJLTsZ3NYVtvcvMLVHCQSXZv35/xpPyEUF03/xqnHG0qQ8HV4W9Hm8Hnj51rC6tdM9Up/29sxskx7Q2p4E/Db4/MYyvZL+08A7BOOOLumrujDYgX9f33qJqmvpdTTPGATaDpzjxur9GflQ5y0VjSweQPCnAjh+CP10e985sDG5GA4v6m8bWFTqc5GNJ00W0HaG+3QlJP698nqqTyoxlmel+oazJzgTQ2MC4PFazxl3Bg0kwG/to/kZlmdzo7vaXW4KWCoBK+sSKoyVeTTQZX3CGXcN7Ty+28GRU22ftSGxAralFRhGPmVwSOwNDqig0f/8mIkiICK5pPD4FfiudLlbnp8NiRXw+LCZFuBFYlxIdb0hMQSgYB1x8GRDYui75gAMj7uhAT5bUgvF+Bu4/2lhqngOj2GAUg5irImvhIMjp6rnVvVbDI9kzTGBGuiawoEUCnA4y8S2T3EAjiiSvLw86Ny5MyxduhQaGhogOzsbOnfuDE8++eRZp8VXUZEGoXbHpY4VB0513tCydMH74kzBR+kgiwMC0sA60k0ygnBgcCB7FpxccRE8mJlnGUzYgSeSMckHidJMr2YgVLMy4mnQ59F9yYCWZg8pMMGBDg5wcFCEG/G8jOzKXTLO7QbU2hau/KSZXw5wSEZapM+v9YQMxiOVifBlmdeWDh6ufdiBGOHavWEQre0Gb80YBnXeM0Fste+PGno/FcDxQ+immwnAYQeU0u8d63FLaiG8M3sotNx9LgT394JTK0MxgihLQ/s+q92y8cxdHsLpSs6Gs9OvvO3ateVaTxl8mDcI3pw+3PTdSgCath/uOG+/tZ62ODD7e8GWtjgw0vcnlZtdv1HtLjcAjj0Z8+GViWOMtDXQAp8Rrlw1A5B/s7wceLv66rp4VVeF03EB75mlXbUZepoGrc+AtxROLO9pCWqr6Vl63ysTx5h0h6ab+P+Hh8wVvwWtbVe5y+GTgjSTASoZfGjI3HDZT2NE/BD6aUW/HDhSmWhib1BAA/tePoHw1BXTRTZkDdmnOm3/4Fz1O+ftu8ZTBh/nDzS+IQ5G8f+S8SyBA+sTKuDj/IEWAIuDFhsSQ7EbAgTw4q4P2G4OjpwK1W7rkq4cbHlu9CTxnWi6h8ZOMJ5PDW0KbmC5SuAE3lPnLbXkjS8Ty0E7CcBYn2B+D37dvsx5lrLGd1qfUGFy+ZLKBOtbqg+ajgR64P1b066xtAG8ppp9z+tZHjQ2C/4iQCEFCF0bXwmNbS48/DiyZvYOutoCYmA67+ZkmdJE9xTc35BYIbqgrOq3GHakLzKxNhyAo32LA3BEiTz77LPgcrlg/fr1xrHTp09DYmIiZGdnn3V6nMGhzSpKg3dpIM473VpPGWxMLobgtq6WDtoOJJAGYpKxrA0oJQAg4C2F9+YMgS9KkuC50ZNEP9dwxm+4wa1kuErveTaD43CGOZ/F02aDKMChXUcHWFLamlFey96VGkR2hoSUR8n4CWd4RVqmdJ8PIOuTSuCDeZnwxrQRluCMdqyBSOpY2njeqGHS2Lbc4JbUQgh4S1XDVzPgfgoXlR9KN2lBRqkPe6PPD09dMR2+LPNC89puELw3Bk7dcSG8PTPbtHqPXRvWAFtJH1Javmb4hUtDq8dwbafWUwbPj5kIn/t9YfNklxZ9diNZKUPSZ/jblFwMwYYzS4JXk/O8LHheJXdHapC5XJ1gc2ohHF6Qbnpvuz6Is2ekepSMQLv657q71lNmAZF4H6OB5dhOt/cvgJcnjFWBdY3REfCGlmF/bfIoi46mhq7U59AZf5pHqW/i7SuSskfDakNihRGkmhqbmuGzNr4SlvX+8RkcP5R+WpUwG74s8xounpQxKbmL4j6dbKGTC1LfU+spg8/9Pkt9aWBioI35h9+d5BoiMTj4DD7fX0+MXs4WoGnVeELMIWp8c1AC22KwIcZIU3re2vhKo61yAIADItLqKTwfdAljDRj4pCDNwoiwc1GRjP0aT5kIbNBnvZ872JInCmDQ+BsSK2VPxnwLi4YDMxLrA8sL47NIZbY+IQRSaWnxvEiMjr2DrhZdUNbEV0KVO8S04S4seP3ugfnGecl9BQEO7nKyqt9i4z4edwO31yaPgpV9HYAjWsQBOKJEli1bBp06dYJjx46Zjq9ZswZcLhd88MEHZ5UedtLLCcBRzQYxkYIemtGG1PDgxlj4YF6muBIB/U8HYeEMfT4opUY1HxDi//qkEnh9ykg4UpkI2/sXWGZLtIEkH9TaGdp2xjAfTIcbcGqAB82j9O6SQUgBDonBIc0mSc+l/6U6sMubBGSEAyiksuHPlwboUvlJ4MYnBWlw4pYexioQvFylOtWMBrsysDM+8V3ezcmC4B/Ps7gc2Bmo/Pv8KQCOH0o3reiXAw0+P+zJmA8vjb8S/nFtArRUxUGwMQaCfzwPTq8+H44u6QtbUgsNA0MyArnRFo6NFglIcbbX2jEMtPZBf7f3L4DjS3uZYirYATZSW9X2pW8StzpvKezLnAfBbV2NGB+8vKqV/3ZlgNfVekIAR3DXBZb3iLTs+fOrhXO8fLkelrbt/Qvg/ox8VYfw/xygqE8qgdOrLhDrjN8ruSXwAK7SvbydBLylBvNL0x/atiN9kaV8pfpAw6rKXQ7/uDZBNJglOv/a+EoIpEyKGv30XNmFprga0mopvJ99YvgMizuoXV+Ouk0aQ0jfyIHsWVCfVGKqK87Y4JtkHHMg45WJY0xuFZJLQ5W7HDalFMEzI6eYxpDcSN6QGHJ32d6/QGw39NoHM/NEdxj6H8tCYxvg/R/My1Tzi78NPr8FnEAGBxrPUvwNuv/a5FFqjArMX7W73AQM8DL9rChFBD7w/i9Kkkz3cxBCY+fgd/vS+CtVEGp9Qog1w8uKAxnaRt+VBxJdG19puO8gEMFZHtQFhbI8MP1DYyeocTW29y+wABcUzNg1YIFp5RR6/uY+cx2Ao52JA3BEiYwbNw6Sk5Mtx//617+Cy+WCvXv3nlV62Ek/kRMvDlojHVDyjpcPNHGQfHhRf2gNxFgGe5rxrBmO3PjkBrlklPKBA6640lobA7sH5lsGHBJA8WhWjq3xrxnx/FrJ+Ahn5NSy//x5EiuD7iPAwY/RfNNy1QbudiAEz5tUBrweubEhAQDcQOXXSeWk1T/+Nvj8cPL2i+Ef1yaYDAgJwJLybmck4kbp4ZrxiOVQn1QCJ5b3hNaaWCOYIE0fyyjct7khseInATh+KN30zKIecKQyER4eMhc2pxYaKwWh8YDfMtc/mi6yM9zC6TzNHYLOaGtGPN+PxNjENoJt40D2LBMDQGt3mh7RviXt28NnvzxhLBwp99gGE9VADrsyxue9nzvY0E14XAPWpf4n3LtobkV2ZYhAwYd5g0SWjB0oQvXrl2VeSxwqDRhpJEFEaz1l8NL4K03HpHukfqIpuRieHzPRlt0jbcjk0fSKRIvflFIEm1KKRPaGZAitS6iAp/N6R41+2jNisAhqSP0r/kdmHrYxPMf7KKxTHnvDTs/VeMog2HiGFcGBDQ42aP8lhga6VNixJDYkVsCpld2N78zO0P44f6DRlrhhTg32F8aNV5+Lxz7MG2Ric3BwYX1ChQEWSWwDfB59H3qeu6is7ncmbTTM8f+GxBC7QmJ48OdIsTfwfH1SiVpPCGRJ9SDViwREnbilh9EeKDiE92C528XZwH1MB8GI6rb01pKyQYBiXUIFvDVjmHGMsjTwmtenjLQcR4ACy5AHF0WgZNeABSJzA4GMBp8fVverNFgcCHTc0Xcx1KdOcACOdiYOwBElkpqaCmPHjrUcf/XVV8HlckF9fb1672effQavvPKKafvTn/4ELpcL7hmSBE/m9IPb+s6B5b1z4aa2bXnbRv8v750LN/eZa/zyczcJ19zaZy7c1ncO/DY+B6q80+DFNTGwK3so3N53Dtzadv7WPnPh5raN/te22/rOMa6Vrr/VZrut7bm39Z0DK/rlQK1vMhy69jz4f2MGwop+Oab3uo385+nz5/PnaNfx4+HyGq5c8D1xo/uYl9v7zgGX6+em6+i529h2O0lHyxfWL303Xvc3k+O4RZpnrV7DXYvPoHWIebo3fRz8bf5l8MJtneG38TmWdqTVl1TXPI9n037pu/0+bTy8sDwG/nj5FbCiX47l2cvZN8a/Rdzw2yvqEeqkDx069EOqI5P8ULqptOdVYhvk7c2unG5iWyQ6TtJpmq7TfqW0tW9Dah8r43Ng9/Ah8Pzi8+H2tnYaaRvT2qZ2LU8P9fULS2Nhx5DhxnfCy1oqd36M72PZ39pnLvznsCzYNXQYuFw/N74pXlc3k+M8TV6P/BnSe4Tra1An/tfMRFUv2B3HfuUPmaPgT0OG2/Zz2nZn4kx4am5fQ3dxnaG9w21958Azi3oY10j1fGsfa70v750LWwaNDtv+b+qdC8t6zzP+/9fMRLipdy78ptc8WNZ7Hvym15ntBmG7ve8cqLvcFzX6qeKyq2BFvxxj3IC/dMNjt/WdA79Lmmocv438SmMT/AZXJ86MSN/d3NZu7kycadTXst7zxO03veaZzmOdLesdqif8j9td7umma3ha+Ht73znw0FX9TW1Feuby3rnwX9PdxnU0DXoP5o23K3xPvO4/h2VZ3uUGluZjU5Lgpt65lvtpfh+d7DP2f9NrHtxwWV6bS9XPjX3anpf3zjUfa7ue7uN5moc9IwZb3pWW7++SpsLytrKieaG68yZSLrwOf8PSww3TuSNhNuwePsRS/1hH+Ax632/CbLQcNg640njvJZflwRIsh7Zt++ARRvn8+tI88zW95sGWQaONa+m5JZflwX8kTzalhff/+tLQdm//q0z7S9h19NyvL82Da8n/+qHeH103OfJ/EwfgiBJJSEiASZMmWY6/88474HK54He/+516729/+1twuVzO5mzO1kG2Bx544IdURyZxdJOzOZuznc3m6CdnczZn+1fcfkzd5Mj/TRyAI0rk+56F2Lp1K7hcLvjTn/5kORft2wMPPGAosp/6XZy8O/n+PrdDhw7BAw88AF999dUPqY5M8n3rpr/97W+wevXqDlFfHbWdOnnvmHmPBv3kjJ2iv506+e54ef8pdJMj/zdxAI4okR/Kj/SVVzqev5mT946X946a7x9Dvm/dBNBx66uj5hvAyXtHzfsPLc7Y6fuTjpr3jppvgI6dd0f+tcUBOKJEli5dKkYCx5nOfzYSeEdUWk7eO17eO2q+fwz5vnUTQMetr46abwAn7x017z+0OGOn7086at47ar4BOnbeHfnXFgfgiBJ55plnwOUyr+Xe3NwMbrcbsrKyzjq9jqy0nLx3vLx31Hz/GPJ96yaAjltfHTXfAE7eO2ref2hxxk7fn3TUvHfUfAN07Lw78q8tDsARRTJ37lzo3LkzLFu2DBoaGmDYsGHQuXNnePzxx886rY6stJy8d7y8d9R8/1jyfeomgI5bXx013wBO3jtq3n8MccZO34901Lx31HwDdOy8O/KvLQ7AEUVy+vRpWLp0KfTo0QNiY2Ph8ssvh4ceeuifSuuzzz6D3/72t/DZZ599z2/5ry9O3jte3jtqvn8s+T51E0DHra+Omm8AJ+8dNe8/hjhjp+9HOmreO2q+ATp23h351xYH4HDEEUccccQRRxxxxBFHHHHEEUfavTgAhyOOOOKII4444ogjjjjiiCOOONLuxQE4HHHEEUccccQRRxxxxBFHHHHEkXYvDsDhiCOOOOKII4444ogjjjjiiCOOtHtxAA5HHHHEEUccccQRRxxxxBFHHHGk3YsDcDhikubmZrjpppugZ8+eEBcXB0OGDIGHH374p36tf0r++7//GxYvXgwpKSnQpUsX6N27N8ydOxfeeOMN03UFBQXgcrksW1JSkiXNb7/9FtatWwf9+vWD2NhY6N+/P2zbtu3HylLEcuDAATFPLpcLDh48aLr26aefhuHDh8O5554Lv/rVr+C6666DEydOWNJsL21Dq0/cPvroIwAAGDVqlHh+woQJljTbS96jWaKtDhz91PH0k6OboleiqR4c3dTxdBOAo58ciS5xAA5HTJKXlwedO3eGpUuXQkNDA2RnZ0Pnzp3hySef/Klf7awlJycHevToAddddx00NjbCqlWr4Fe/+hV07doV/v73vxvXFRQUQGxsLGzZssW07d2715LmzTffDC6XC0pKSuD3v/89TJkyBVwuF2zfvv3HzFpYwU7617/+tSVfX3zxhXHdCy+8AHFxcZCRkQH33HMP3HbbbRAbGwsTJ060pNle2sbf/vY3S57vu+8+6NKlC6SkpBjXjRo1Cnr16mW59tFHH7Wk2V7yHs0SbXXg6KeOp58c3RS9Ek314OimjqebABz95Eh0iQNwOGLIs88+Cy6XC9avX28cO336NCQmJkJ2dvZP+Gb/nDz99NPQ0tJiOvbmm29CbGws5OfnG8cKCgqga9euYdP76KOP4JxzzoHFixcbx7777jsYMWIE9OrVC7755pvv7+X/j4Kd9M6dO22vmzRpEvTs2ROOHTtmHGtsbASXywV/+ctfjGPtvW08+eST4HK5YPXq1caxUaNGQWpqath723veo0GisQ4c/eToJwBHN0WDRFs9OLrJ0U0ojn5ypL2KA3A4YsiyZcugU6dOJoUNALBmzRpwuVzwwQcf/ERv9v3KoEGDYNCgQcY+dtLffPONJe9UAoEAuFwuePXVV03Ht23bBi6X618Kkaad9PHjxyEYDFquOXbsGHTu3BmWLVtmOt7S0gLdunWD4uJi41h7bxsVFRXws5/9DN577z3jGHbSwWBQpJWitPe8R4N0pDpw9FNIOop+cnRT+5eOUg+ObgpJR9FNAI5+cqT9igNwOGLIuHHjIDk52XL8r3/9K7hcLpF22N7ku+++g8suuwzGjx9vHCsoKICf/exn0KVLF3C5XHDhhRdCZWWlRXH7/X7o2rUrfPfdd6bjb7/9NrhcLvj3f//3HyUPkQh20t26dQOXywWdOnWC0aNHw3PPPWdc89RTT4HL5YIdO3ZY7r/iiitMA5n23DZaW1vhl7/8JQwfPtx0fNSoUXDOOedATEwMuFwu+NWvfgW33347tLa2mq5rz3mPFukodeDop46lnxzdFB3SEerB0U0dSzcBOPrJkfYtDsDhiCGpqakwduxYy/FXX30VXC4X1NfX/wRv9f3Kli1bwOVywb333mscu/nmm2H58uWwY8cO2L59uxFoafjw4Sb0fsqUKZCQkGBJ8+TJk+ByueDmm2/+UfIQiTz99NOQk5MD9957L+zZswfuvPNO+OUvfwlxcXHwP//zPwAAsHPnTnC5XPDEE09Y7p87dy706NHD2G/PbePPf/4zuFwuqKurMx0vKiqClStXwn/+53/CfffdB9OnTweXywW5ubmm69pz3qNFOkodOPqpY+knRzdFh3SEenB0U8fSTQCOfnKkfYsDcDhiSEJCAkyaNMly/J133gGXywW/+93vfoK3+v7k9ddfh/PPPx+ys7PD+nyuXr3aEgBr7NixIhr97bffgsvlgiVLlnzv7/x9yltvvQXnnnuuEen6vvvuA5fLBc8++6zl2oULF8IvfvELY789t42rr74azjnnHPjyyy/DXltSUmKJlt6e8x4t0hHqwNFPHU8/ObopOiTa68HRTR1PNwE4+smR9i0OwOGIIdGMtn7yySeQkJAAvXv3ho8//jjs9adOnYKf//znJl/K9jQLoUleXh7ExMTAN9980yFmIU6cOAFdunSBqVOnRnT9//7v/4LL5YJVq1YZx9pr3qNJor0OHP0Uko6knxzdFD0SzfXg6KaQdCTdBODoJ0favzgAhyOGRKu/3NGjR2HgwIHQvXt3S5ArO7n44oth1qxZxr7f74cuXbq0Cz9STZYtWwYulwuOHTvWIfxIkVYb6VJ0OOC64YYbjGPtNe/RJNFcB45+OiMdST85uil6JFrrwdFNZ6Qj6SYARz850v7FATgcMWTp0qVixGOkHLbHiMenT5+GESNGQJcuXeBvf/tbxPcdP34cfvazn0Fpaalx7D/+4z/ESOB/+MMfVDT/X01ycnIgLi4Ovv32Wzh69KhtJPCioiLjWHttGxMnToRu3brByZMnI7r+73//O7hcLlizZo1xrL3mPZokWuvA0U9m6Uj6ydFN0SPRWA+ObjJLR9JNAI5+cqT9iwNwOGLIM888Ay6Xec3q5uZmcLvdkJWV9RO+2T8n33zzDUyfPh06d+4M+/btE685ffo0HD9+3HIc0frdu3cbxz788EN1LffLLrvsX2ot988//9xy7MUXX4RzzjkHpk+fbhybOHEi9OzZ01QGTU1N4HK5YP/+/cax9tg2Pv/8c+jcuTMsXLjQcu7YsWPQ3NxsOvbdd9/BvHnzwOVywaFDh4zj7THv0SbRWAeOfjJLR9JPjm6KLom2enB0k1k6km4CcPSTI9EhDsDhiEnmzp1rINMNDQ0wbNgw6Ny5Mzz++OM/9audtSxZsgRcLhdMmzYNtmzZYtkAAN577z244IILoKKiAmpqaqCmpgYmT54MLpcLJk6cCN9++60pTey8S0tLobGxEaZMmQIulwv+8Ic//BRZVGXMmDEwefJk+Ld/+zf4/e9/D9dffz106dIFfvGLX8Brr71mXHfo0CGIjY2FjIwMuOeee+C2226DuLg401JwKO2tbdTW1oLL5YKHHnrIcu7AgQPQo0cPuOGGGyAQCMDdd98Nw4cPN+qWS3vLezRKtNWBo586rn5ydFP0STTVg6ObOq5uAnD0kyPRIQ7A4YhJTp8+DUuXLoUePXpAbGwsXH755aKSaw8yatQocLlc6gYA8NVXX8GCBQvA7XZDly5dIDY2FlJTU2HNmjWWNb0BQlG/16xZA3379oWYmBhITU2FrVu3/thZCys1NTUwZMgQ6N69O3Tu3Bl69uwJCxYsgLfeesty7ZNPPgnDhg2DuLg4uPjii2Hx4sXizEx7axtDhw6FSy65RJwdevfdd2Hu3LnQr18/iIuLgy5dukBmZibU19db/IQB2l/eo1GirQ4c/dRx9ZOjm6JPoqkeHN3UcXUTgKOfHIkOcQAORxxxxBFHHHHEEUccccQRRxxxpN2LA3A44ogjjjjiiCP/fzt2QAIAAAAg6P/rdgQ6QwCAPcEBAAAA7AkOAAAAYE9wAAAAAHuCAwAAANgTHAAAAMCe4AAAAAD2BAcAAACwJzgAAACAPcEBAAAA7AkOAAAAYE9wAAAAAHuCAwAAANgTHAAAAMCe4AAAAAD2BAcAAACwJzgAAACAPcEBAAAA7AkOAAAAYE9wAAAAAHuCAwAAANgLTi2YqG0mC14AAAAASUVORK5CYII=\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = subplots(1, 3, figsize=(9,3))\n",
    "for i,img in enumerate(deconvoluted):\n",
    "    jupyter.display(img, ax=ax[i], label=str(i))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point we are back to the initial state: can we fit the goniometer and check the width of the peaks to validate if it got better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LaB6 Calibrant with 120 reflections at wavelength 6.968e-11\n"
     ]
    }
   ],
   "source": [
    "wavelength=0.6968e-10\n",
    "calibrant = get_calibrant(\"LaB6\")\n",
    "calibrant.wavelength = wavelength\n",
    "print(calibrant)\n",
    "\n",
    "detector =  pyFAI.detector_factory(\"Pilatus1M\")\n",
    "detector.mask = mask\n",
    "\n",
    "fimages = []\n",
    "fimages.append(fabio.cbfimage.CbfImage(data=deconvoluted[0], header={\"angle\":0}))\n",
    "fimages.append(fabio.cbfimage.CbfImage(data=deconvoluted[1], header={\"angle\":17}))\n",
    "fimages.append(fabio.cbfimage.CbfImage(data=deconvoluted[2], header={\"angle\":45}))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_angle(metadata):\n",
    "    \"\"\"Takes the basename (like det130_g45_0001.cbf ) and returns the angle of the detector\"\"\"\n",
    "    return metadata[\"angle\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyFAI.goniometer import GeometryTransformation, GoniometerRefinement, Goniometer\n",
    "from pyFAI.gui import jupyter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "gonioref2d = GoniometerRefinement.sload(\"id28.json\", pos_function=get_angle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 Angle: 0\n",
      "1 Angle: 17\n",
      "2 Angle: 45\n"
     ]
    }
   ],
   "source": [
    "for idx, fimg in enumerate(fimages):\n",
    "    sg = gonioref2d.new_geometry(str(idx), image=fimg.data, metadata=fimg.header, calibrant=calibrant)\n",
    "    print(sg.label, \"Angle:\", sg.get_position())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ControlPoints instance containing 6 group of point:\n",
      "LaB6 Calibrant with 120 reflections at wavelength 6.968e-11\n",
      "Containing 6 groups of points:\n",
      "# a ring 0: 348 points\n",
      "# b ring 1: 341 points\n",
      "# c ring 2: 316 points\n",
      "# d ring 3: 129 points\n",
      "# e ring 4: 48 points\n",
      "# f ring 5: 2 points\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ControlPoints instance containing 13 group of point:\n",
      "LaB6 Calibrant with 120 reflections at wavelength 6.968e-11\n",
      "Containing 13 groups of points:\n",
      "# g ring 0: 177 points\n",
      "# h ring 1: 172 points\n",
      "# i ring 2: 168 points\n",
      "# j ring 3: 123 points\n",
      "# k ring 4: 106 points\n",
      "# l ring 5: 94 points\n",
      "# m ring 6: 80 points\n",
      "# n ring 7: 77 points\n",
      "# o ring 8: 71 points\n",
      "# p ring 9: 67 points\n",
      "# q ring 10: 37 points\n",
      "# r ring 11: 16 points\n",
      "# s ring 12: 1 points\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ControlPoints instance containing 26 group of point:\n",
      "LaB6 Calibrant with 120 reflections at wavelength 6.968e-11\n",
      "Containing 26 groups of points:\n",
      "# t ring 7: 37 points\n",
      "# u ring 8: 54 points\n",
      "# v ring 9: 66 points\n",
      "# w ring 10: 64 points\n",
      "# x ring 11: 62 points\n",
      "# y ring 12: 61 points\n",
      "# z ring 13: 57 points\n",
      "#aa ring 14: 55 points\n",
      "#ab ring 15: 55 points\n",
      "#ac ring 16: 53 points\n",
      "#ad ring 17: 53 points\n",
      "#ae ring 18: 47 points\n",
      "#af ring 19: 50 points\n",
      "#ag ring 20: 49 points\n",
      "#ah ring 21: 47 points\n",
      "#ai ring 22: 47 points\n",
      "#aj ring 23: 45 points\n",
      "#ak ring 24: 45 points\n",
      "#al ring 25: 43 points\n",
      "#am ring 26: 43 points\n",
      "#an ring 27: 42 points\n",
      "#ao ring 28: 41 points\n",
      "#ap ring 29: 41 points\n",
      "#aq ring 30: 41 points\n",
      "#ar ring 31: 19 points\n",
      "#as ring 32: 3 points\n"
     ]
    }
   ],
   "source": [
    "fig,ax = subplots(1,3, figsize=(9,3))\n",
    "for lbl, sg in gonioref2d.single_geometries.items():\n",
    "    idx = int(lbl)\n",
    "    print(sg.extract_cp())\n",
    "    jupyter.display(sg=sg, ax=ax[idx])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 3.24267478593966e-08\n",
      "[ 2.84547605e-01  8.86540301e-02  8.93070277e-02  5.48717450e-03\n",
      "  5.54901577e-03  1.74619285e-02 -2.09889821e-05]\n",
      "     fun: 1.9870737020205225e-08\n",
      "     jac: array([ 1.20211967e-07,  2.00609501e-06,  4.28382178e-07, -2.14785732e-07,\n",
      "        8.72344141e-07,  1.04478562e-06, -3.40809315e-06])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 63\n",
      "     nit: 6\n",
      "    njev: 6\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 2.84379482e-01,  8.86569274e-02,  8.93058773e-02,  5.48699660e-03,\n",
      "        5.54893897e-03,  1.74617531e-02, -2.09301402e-05])\n",
      "Cost function after refinement: 1.9870737020205225e-08\n",
      "GonioParam(dist=0.2843794820033838, poni1=0.08865692742576343, poni2=0.08930587725938244, rot1=0.005486996604712778, rot2=0.005548938971584808, scale1=0.01746175311288814, scale2=-2.093014020238152e-05)\n",
      "maxdelta on: dist (0) 0.2845476046521533 --> 0.2843794820033838\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 2.84379482e-01,  8.86569274e-02,  8.93058773e-02,  5.48699660e-03,\n",
       "        5.54893897e-03,  1.74617531e-02, -2.09301402e-05])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gonioref2d.refine2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 3 geometries on (0, 63) radial range (2th_deg) and (-180, 180) azimuthal range (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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f645df9bd30>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a MultiGeometry integrator from the refined geometry:\n",
    "\n",
    "angles = []\n",
    "dimages = []\n",
    "for sg in gonioref2d.single_geometries.values():\n",
    "    angles.append(sg.get_position())\n",
    "    dimages.append(sg.image)\n",
    "\n",
    "multigeo = gonioref2d.get_mg(angles)\n",
    "multigeo.radial_range=(0, 63)\n",
    "print(multigeo)\n",
    "# Integrate the whole set of images in a single run:\n",
    "\n",
    "res_mg = multigeo.integrate1d(dimages, 10000)\n",
    "ax = jupyter.plot1d(res_mg, label=\"multigeo\")\n",
    "for lbl, sg in gonioref2d.single_geometries.items():\n",
    "    ai = gonioref2d.get_ai(sg.get_position())\n",
    "    img = sg.image * ai.dist * ai.dist / ai.pixel1 / ai.pixel2\n",
    "    res = ai.integrate1d(img, 5000, unit=\"2th_deg\", method=\"splitpixel\")\n",
    "    ax.plot(*res, \"--\", label=lbl)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 20000000000.0)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's focus on the inner most ring on the image taken at 45°:\n",
    "#ax.set_xlim(21.5, 21.7)\n",
    "ax.set_xlim(29.0, 29.2)\n",
    "ax.set_ylim(0, 2e10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f645df58a90>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Peak FWHM\n",
    "\n",
    "from scipy.interpolate import interp1d\n",
    "from scipy.optimize import bisect\n",
    "\n",
    "def calc_fwhm(integrate_result, calibrant):\n",
    "    \"calculate the tth position and FWHM for each peak\"\n",
    "    delta = integrate_result.intensity[1:] - integrate_result.intensity[:-1]\n",
    "    maxima = numpy.where(numpy.logical_and(delta[:-1]>0, delta[1:]<0))[0]\n",
    "    minima = numpy.where(numpy.logical_and(delta[:-1]<0, delta[1:]>0))[0]\n",
    "    maxima += 1\n",
    "    minima += 1\n",
    "    tth = []\n",
    "    FWHM = []\n",
    "    for tth_rad in calibrant.get_2th():\n",
    "        tth_deg = tth_rad*integrate_result.unit.scale\n",
    "        if (tth_deg<=integrate_result.radial[0]) or (tth_deg>=integrate_result.radial[-1]):\n",
    "            continue\n",
    "        idx_theo = abs(integrate_result.radial-tth_deg).argmin()\n",
    "        id0_max = abs(maxima-idx_theo).argmin()\n",
    "        id0_min = abs(minima-idx_theo).argmin()\n",
    "        I_max = integrate_result.intensity[maxima[id0_max]]\n",
    "        I_min = integrate_result.intensity[minima[id0_min]]\n",
    "        tth_maxi = integrate_result.radial[maxima[id0_max]]\n",
    "        I_thres = (I_max + I_min)/2.0\n",
    "        if minima[id0_min]>maxima[id0_max]:\n",
    "            if id0_min == 0:\n",
    "                min_lo = integrate_result.radial[0]\n",
    "            else:\n",
    "                min_lo = integrate_result.radial[minima[id0_min-1]]\n",
    "            min_hi = integrate_result.radial[minima[id0_min]]\n",
    "        else:\n",
    "            if id0_min == len(minima) -1:\n",
    "                min_hi = integrate_result.radial[-1]\n",
    "            else:\n",
    "                min_hi = integrate_result.radial[minima[id0_min+1]]\n",
    "            min_lo = integrate_result.radial[minima[id0_min]]\n",
    "            \n",
    "        f = interp1d(integrate_result.radial, integrate_result.intensity-I_thres)\n",
    "        tth_lo = bisect(f, min_lo, tth_maxi)\n",
    "        tth_hi = bisect(f, tth_maxi, min_hi)\n",
    "        FWHM.append(tth_hi-tth_lo)\n",
    "        tth.append(tth_deg)\n",
    "    return tth, FWHM\n",
    "    \n",
    "fig, ax = subplots()\n",
    "ax.plot(*calc_fwhm(res_mg, calibrant), \"o\", label=\"multi\")\n",
    "for lbl, sg in gonioref2d.single_geometries.items():\n",
    "    ai = gonioref2d.get_ai(sg.get_position())\n",
    "    img = sg.image * ai.dist * ai.dist / ai.pixel1 / ai.pixel2\n",
    "    res = ai.integrate1d(img, 5000, unit=\"2th_deg\", method=\"splitpixel\")\n",
    "    t,w = calc_fwhm(res, calibrant=calibrant)\n",
    "    ax.plot(t, w,\"-o\", label=lbl)\n",
    "ax.set_title(\"Peak shape as function of the angle\")\n",
    "ax.set_xlabel(res_mg.unit.label)\n",
    "ax.legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## conclusion:\n",
    "The results do not look enhanced compared to the initial fit: neither the peak position, nor the FWHM looks enhanced. Maybe there is an error somewhere."
   ]
  }
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