bayesian-fluxes/bayesian-fluxes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Standard Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from matplotlib import pyplot\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Section 1: See what different SNRs look like in images\n",
    "\n",
    "The first half of this notebook expects to be able to import modules from the LSST DM stack (and a relatively recent version) and get some HSC data at a filesystem location you probably don't have.\n",
    "It could be modified easily to run on the tiger or pegasus clusters, where that software and similar data are also available.\n",
    "\n",
    "You can skip down to the next section if you just want to play with the effect of different priors on different input SNRs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from lsst.daf.persistence import Butler\n",
    "from lsst.afw.display import Display\n",
    "from lsst.afw import geom\n",
    "from lsst.afw import image\n",
    "Display.setDefaultBackend(\"matplotlib\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "butler = Butler(\"/datasets/hsc/repo/rerun/RC/w_2018_10/DM-13647/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "coadd = butler.get(\"deepCoadd_calexp\", tract=9813, patch=\"4,4\", filter=\"HSC-I\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "catalog = butler.get(\"deepCoadd_meas\", tract=9813, patch=\"4,4\", filter=\"HSC-I\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "calib = coadd.getCalib()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "box = geom.Box2D()\n",
    "box.include(geom.Point2D(18095, 17989))\n",
    "box.grow(geom.Extent2D(40, 40))\n",
    "box = geom.Box2I(box)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subcat = catalog[np.logical_and.reduce([catalog.getX() > box.getMinX(),\n",
    "                                        catalog.getX() < box.getMaxX(),\n",
    "                                        catalog.getY() > box.getMinY(),\n",
    "                                        catalog.getY() < box.getMaxY()])].copy(deep=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subimg = coadd[box, image.PARENT]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bright_record = subcat[2]\n",
    "faint_record = subcat[4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "862.2164323463822"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bright_record.getPsfFlux()/bright_record.getPsfFluxErr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d = Display(frame=0, backend=\"matplotlib\")\n",
    "d.setMaskTransparency(100)\n",
    "d.scale(\"asinh\", min=-0.05, max=0.2, unit=\"absolute\")\n",
    "d.mtv(subimg)\n",
    "def show(record, **kwds):\n",
    "    d.dot(\"o\", record.getX(), record.getY(), **kwds)\n",
    "show(bright_record, ctype='red')\n",
    "show(faint_record, ctype='green')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Section 2: Explore the effect of power-law priors on flux posteriors\n",
    "This section uses two bits of code from the previous section:\n",
    " - We use the measurements from `bright_record` and `faint_record` to initialize some `FluxMeasurement` objects to play with.\n",
    " - We use the `calib` object to convert between fluxes and magnitudes.  If you don't have the LSST stack available, just write a class that has `getFlux(mag)` and `getMagnitude(flux)` methods to convert back and forth, and call it `calib`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class FluxMeasurement:\n",
    "    \n",
    "    def __init__(self, flux, err):\n",
    "        self.flux = flux\n",
    "        self.err = err\n",
    "\n",
    "    def with_snr(self, s):\n",
    "        return FluxMeasurement(s*self.err, self.err)\n",
    "        \n",
    "    @property\n",
    "    def snr(self):\n",
    "        return self.flux/self.err\n",
    "    \n",
    "    @property\n",
    "    def mag(self):\n",
    "        return calib.getMagnitude(self.flux)\n",
    "    \n",
    "    def likelihood(self, flux_array):\n",
    "        return np.exp(-0.5*((flux_array - self.flux)/self.err)**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class PowerLawPrior:\n",
    "    \n",
    "    def __init__(self, slope):\n",
    "        self.slope = slope\n",
    "        \n",
    "    def __call__(self, flux_array):\n",
    "        return flux_array**(-(1.0 + self.slope))\n",
    "\n",
    "    def max_posterior(self, measurement):\n",
    "        return measurement.flux*0.5*(1.0 + (1.0 - 4*(self.slope + 1.0)/measurement.snr**2)**0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bright = FluxMeasurement(bright_record.getPsfFlux(), bright_record.getPsfFluxErr())\n",
    "faint = FluxMeasurement(faint_record.getPsfFlux(), faint_record.getPsfFluxErr())\n",
    "fainter = faint.with_snr(5.0)\n",
    "faintest = faint.with_snr(3.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def show_posterior(measurement, prior, m1=1.0, m2=4.0, mmax=40):\n",
    "    n = 100\n",
    "    mag_array_1 = np.linspace(measurement.mag - m1, measurement.mag + m2, n)\n",
    "    flux_array_1 = calib.getFlux(mag_array_1)\n",
    "    flux_array_2 = np.logspace(np.log10(calib.getFlux(mmax)),\n",
    "                               np.log10(flux_array_1[-1]), n)[::-1]\n",
    "    mag_array_2 = calib.getMagnitude(flux_array_2)\n",
    "    mag_array = np.concatenate([mag_array_1, mag_array_2])\n",
    "    flux_array = np.concatenate([flux_array_1, flux_array_2])\n",
    "    pyplot.figure(figsize=(7, 5))\n",
    "    def normalize(array):\n",
    "        return array / np.trapz(array[:n], mag_array[:n])\n",
    "    likelihood_array = normalize(measurement.likelihood(flux_array))\n",
    "    prior_array = normalize(prior(flux_array))\n",
    "    posterior_array = normalize(prior_array*likelihood_array)\n",
    "    pyplot.subplot(1, 2, 1)\n",
    "    pyplot.ylabel(\"probability density (locally normalized)\")\n",
    "    pyplot.xlabel(\"magnitude\")\n",
    "    pyplot.plot(mag_array[:n], likelihood_array[:n], label='likelihood')\n",
    "    pyplot.plot(mag_array[:n], prior_array[:n], label='prior')\n",
    "    c, = pyplot.plot(mag_array[:n], posterior_array[:n], label='posterior')\n",
    "    mode = prior.max_posterior(measurement)\n",
    "    if np.isreal(mode):\n",
    "        pyplot.axvline(calib.getMagnitude(mode), color=c.get_color(),\n",
    "                       linestyle=':', label='local posterior mode')\n",
    "    mean = np.trapz(flux_array*posterior_array, flux_array)/np.trapz(posterior_array, flux_array)\n",
    "    if mean < flux_array[0] and mean > flux_array[n]:\n",
    "        pyplot.axvline(calib.getMagnitude(mean), color=c.get_color(),\n",
    "                       linestyle='--', label='posterior mean')\n",
    "    pyplot.legend()\n",
    "    ax = pyplot.subplot(1, 2, 2)\n",
    "    ax.yaxis.tick_right()\n",
    "    ax.yaxis.set_label_position(\"right\")\n",
    "    pyplot.ylabel(\"probability density (normalized by left plot)\")\n",
    "    pyplot.xlabel(\"magnitude\")\n",
    "    pyplot.plot(mag_array[n:], likelihood_array[n:], label='likelihood')\n",
    "    pyplot.plot(mag_array[n:], prior_array[n:], label='prior')\n",
    "    pyplot.plot(mag_array[n:], posterior_array[n:], label='posterior')\n",
    "    if mean < flux_array[n] and mean > flux_array[-1]:\n",
    "        pyplot.axvline(calib.getMagnitude(mean), color=c.get_color(),\n",
    "                       linestyle='--', label='posterior mean')\n",
    "    pyplot.legend()\n",
    "    pyplot.semilogy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_posterior(bright, PowerLawPrior(2.0), m2=0.008, m1=0.008, mmax=40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_posterior(faint, PowerLawPrior(2.0), m2=0.5, m1=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_posterior(fainter, PowerLawPrior(2.0), m2=1, m1=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        this.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABBoAAALuCAYAAAAAD3VqAAAgAElEQVR4XuydB5QUxdfFLzlJFAFFFESi/gETokhUEQVMIGbBAOaAOWBAQTFg+EygKCiiiIoIKIKBLKCigKKgkkUQFCSHXeA7t2dmd3Z3dqdmuma2e+bWOXvQnUr9q5591bdfvVcEKiIgAiIgAiIgAiIgAiIgAiIgAiIgAiJgiUARS/2oGxEQAREQAREQAREQAREQAREQAREQARGAhAbdBCIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayjVkQiIgAiIgAiIgAiIgAiIgAiIgAiIgIQG3QMiIAIiIAIiIAIiIAIiIAIiIAIiIALWCEhosIZSHYmACIiACIiACIiACIiACIiACIiACEho0D0gAiIgAiIgAiIgAiIgAiIgAiIgAiJgjYCEBmso1ZEIiIAIiIAIiIAIiIAIiIAIiIAIiICEBt0DIiACIiACIiACIiACIiACIiACIiAC1ghIaLCGUh2JgAiIgAiIgAiIgAiIgAiIgAiIgAhIaNA9IAIiIAIiIAIiIAIiIAIiIAIiIAIiYI2AhAZrKNWRCIiACIiACIiACIiACIiACIiACIiAhAbdAyIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayjVkQiIgAiIgAiIgAiIgAiIgAiIgAiIgIQG3QMiIAIiIAIiIAIiIAIiIAIiIAIiIALWCEhosIZSHYmACIiACIiACIiACIiACIiACIiACEho0D0gAiIgAiIgAiIgAiIgAiIgAiIgAiJgjYCEBmso1ZEIiIAIiIAIiIAIiIAIiIAIiIAIiICEBt0DIiACIiACIiACIiACIiACIiACIiAC1ghIaLCGUh2JgAiIgAiIgAiIgAiIgAiIgAiIgAhIaNA9IAIiIAIiIAIiIAIiIAIiIAIiIAIiYI2AhAZrKNWRCIiACIiACIiACIiACIiACIiACIiAhAbdAyIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayjVkQiIgAiIgAiIgAiIgAiIgAiIgAiIgIQG3QMiIAIiIAIiIAIiIAIiIAIiIAIiIALWCEhosIZSHYmACIiACIiACIiACIiACIiACIiACEho0D0gAiIgAiIgAiIgAiIgAiIgAiIgAiJgjYCEBmso1ZEIiIAIiIAIiIAIiIAIiIAIiIAIiICEBt0DIiACIiACIiACIiACIiACIiACIiAC1ghIaLCGUh2JgAiIgAiIgAiIgAiIgAiIgAiIgAhIaNA9IAIiIAIiIAIiIAIiIAIiIAIiIAIiYI2AhAZrKNWRCIiACIiACIiACIiACIiACIiACIiAhAbdAyIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayjVkQiIgAiIgAiIgAiIgAiIgAiIgAiIgIQG3QMiIAIiIAIiIAIiIAIiIAIiIAIiIALWCEhosIZSHYmACIiACIiACIiACIiACIiACIiACEho0D0gAiIgAiIgAiIgAiIgAiIgAiIgAiJgjYCEBmso1ZEIiIAIiIAIiIAIiIAIiIAIiIAIiICEBt0DIiACIiACIiACIiACIiACIiACIiAC1ghIaLCGUh2JgAiIgAiIgAiIgAiIgAiIgAiIgAhIaNA9IAIiIAIiIAIiIAIiIAIiIAIiIAIiYI2AhAZrKNWRCIiACIiACIiACIiACIiACIiACIiAhAbdAyIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayjVkQiIgAiIgAiIgAiIgAiIgAiIgAiIgIQG3QMiIAIiIAIiIAIiIAIiIAIiIAIiIALWCEhosIZSHYmACIiACIiACIiACIiACIiACIiACEho0D0gAiIgAiIgAiIgAiIgAiIgAiIgAiJgjYCEBmso1ZEIiIAIiIAIiIAIiIAIiIAIiIAIiICEBt0DIiACIiACIiACIiACIiACIiACIiAC1ghIaLCGUh2JgAiIgAiIgAiIgAiIgAiIgAiIgAhIaNA9IAIiIAIiIAIiIAIiIAIiIAIiIAIiYI2AhAZrKNWRCIiACIiACIiACIiACIiACIiACIiAhAbdAyIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayjVkQiIgAiIgAiIgAiIgAiIgAiIgAiIgIQG3QMiIAIiIAIiIAIiIAIiIAIiIAIiIALWCEhosIZSHYmACIiACIiACIiACIiACIiACIiACEho0D0gAiIgAiIgAiIgAiIgAiIgAiIgAiJgjYCEBmso1ZEIiIAIiIAIiIAIiIAIiIAIiIAIiICEBt0DIiACIiACIiACIiACIiACIiACIiAC1ghIaLCGUh2JgAiIgAiIgAiIgAiIgAiIgAiIgAhIaNA9IAIiIAIiIAIiIAIiIAIiIAIiIAIiYI2AhAZrKNWRCIiACIiACIiACIiACIiACIiACIiAhAbdAyIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayjVkQiIgAiIgAiIgAiIgAiIgAiIgAiIgIQG3QMiIAIiIAIiIAIiIAIiIAIiIAIiIALWCEhosIZSHYmACIiACIiACIiACIiACIiACIiACEho0D0gAiIgAiIgAiIgAiIgAiIgAiIgAiJgjYCEBmso1ZEIiIAIiIAIiIAIiIAIiIAIiIAIiICEBt0DIiACIiACIiACIiACIiACIiACIiAC1ghIaLCGUh2JgAiIgAiIgAiIgAiIgAiIgAiIgAhIaNA9IAIiIAIiIAIiIAIiIAIiIAIiIAIiYI2AhAZrKNWRCIiACIiACIiACIiACIiACIiACIiAhAbdAyIgAiIgAiIgAiIgAiIgAiIgAiIgAtYISGiwhlIdiYAIiIAIiIAIiIAIiIAIiIAIiIAISGjQPSACIiACIiACIiACIiACIiACIiACImCNgIQGayh939E6AGUBrPb9legCREAERCA9CdQCsANAjfS8fOOrlr0zRqWKIiACIuBJArJ3nlyWnJOS0OCDRUrSFLeUKlWqfN26dZM0nIYRAREQARGwSWDp0qXYvXv3VgAVbPabgn3J3qXgouqSREAE0oeA7J0/1lpCgz/WKRmzXNS4cePGixYtSsZYGkMEREAERMAygaOOOgq//PLLLwCOstx1qnUne5dqK6rrEQERSCsCsnf+WG4JDf5Yp2TMUhuvZFDWGCIgAiKQIALaeBmDlb0zRqWKIiACIuA9ArJ33luTSDOS0OCPdUrGLLXxSgZljSECIiACCSKgjZcxWNk7Y1SqKAIikG4E9u7bi9//+z3rsutVqodiRYt5CoPsnaeWI9/JSGjwxzolY5baeCWDssYQAREQgQQR0MbLGKzsnTEqVRQBEUg3Alv2bEHL91pmXfasi2ehQklvhf6RvfPHXSmhwR/rlIxZauOVDMoaQwREQAQSREAbL2OwsnfGqFRRBEQg3QhIaEi3FU/c9UpoSBxbv/WsjZffVkzzFQEREIEwAhIajG8H2TtjVKooAiKQbgQkNKTbiifueiU0JI6t33rWxstvK6b5ioAIiICEhnjuAdm7eKipjQiIQFoQkNCQFsuclIuU0JAUzL4YJO6N1/79+8EfFRHwIoEiRYqAPyoikOoE5NFgvMKyd8aoVFEEvElAtj1x6yKhIXFs061n7b7TbcXzv96YNl779u3D5s2bsWnTJuzevVsURcDTBEqVKoXKlSujYsWKKFq0qKfnqsmJQLwEJDQYk5O9M0aliiLgXQKy7YlZGwkNieGajr1KaEjHVY98zcYbL3ovrF271hEaVETATwQqVaqEGjVqyMPBT4umuRoTkNBgjEr2zhiVKoqA9wnItttdIwkNdnmmc28SGtJ59XNeu/HGa8uWLVizZo3Tulq1aqhQoQKKFfNWfl0tqwiECOzduxe8Z9evX+/8qmbNms49qyICqUZAQoPxisreGaNSRRHwJgHZ9sSti4SGxLFNt54lNKTbiud/vcYbrz///BNbt25FlSpVUL16dREUAV8Q+Pvvv7Fx40ZHZKDYoCICqUZAQoPxisreGaNSRRHwNgHZdvvrI6HBPtN07VFCQ7qufN7rNt54/fbbb6CSfPjhh6Ns2bIiKAK+ILBjxw6sXLnS8b6pX7++L+asSYpALAQkNBjTkr0zRqWKIuBtArLt9tdHQoN9punao4SGdF35OIUGxmdYvHix05oPazoyoRvILwQojlEkY2nYsKHiNPhl4TRPYwISGoxRGQkNsnfGPFVRBAqNgGy7ffQSGuwzTdceJTSk68rHKTQw28SSJUuc1g0aNFAEf90/viGge9c3S6WJxklAQoMxOCOhQX8zjHmqoggUGgF9T+2jz9ibgU+Xf5rVcac6nVCiWAn7A7noUfbOBbwkNpXQkETYHh9KGy+PL5Cm546ANiPu+Km19wlo42W8RrJ3xqhUUQS8TUC23dvrk6jZyd4liqzdfiU02OXp59608fLz6mnuUQloMxIVkSr4nIA2XsYLKHtnjEoVRcDbBGTbvb0+iZqd7F2iyNrtV0KDXZ5+7k0bLz+vnuYelYA2I1ERqYLPCWjjZbyAsnfGqFRRBLxNQLbd2+uTqNnJ3iWKrN1+JTTY5enn3rTxcrF6RYoUcbJwrFixIqsX/nedOnXQpk0bTJ06Nev3w4cPx5VXXomHH34YjzzyiItR82+a3xgcr1+/fhg2bBh69uyZ1UHbtm0xbdo0LF++HLVr107InBLRaX7XE2ksbUYSsQLq00sEtPEyXg3ZO2NUeSvK3rmA56JpLPbOxTC+ayrb7rslszJh2TsrGBPeiYSGhCP2zQDaeLlYKm28XMBz0TSWjZc2Iy5Aq6kvCGjjZbxMsnfGqCQ0uEBltWks9s7qwB7vTLbd/gLtzNyJ/nP6Z3Xct0VflClexv5ALnqUvXMBL4lNJTQkEbbHh9LGy8UCRRIaMjIysHTpUpQtWxaHHXZYVu+F6dHwzz//gD8HH3wwKlasmDUneTS4WHw1FQGPENDGy3ghZO+MUZkJDbJ3LoAaNpXQEBmUhAbDGyiGakpvGQMsVS2QgIQG3SAhAtp4ubgXIgkN+XVXmEJDfnOS0OBi8dVUBDxCQEKD8ULI3hmjMhMaZO9cADVsKqFBQoPhreK6moQG1wjVQZCAhAbdChIaLNwDto5ODBo0CHfddRfq16+PL774ArVq1cqa3dy5c/HMM89g5syZ+Pfff1GtWjV07NgRDz30UA6PCTZwE6Nh/vz5GDhwIH766SeUKlUKZ5xxBp5++mkceuiheUjt2LEDnPP777/veG+ULFkSTZs2xQ033ICLLrooItnVq1ejf//++Pzzz7Fu3TrHs+KUU07BfffdhxNOOCFim3HjxuGJJ57AggULUKZMGVAY4f+/++67EWNOROpEbz0s3OjqwtMEJDQYL4+EBmNUZkJDPDGJZO8SZ+9cLK/vmsq2218yCQ32maZrjxIa0nXl8163Nl4u7gUbQsP999/vPDwff/zxmDhxIqpWrZo1o1deeQU333yz8/98GOdRjCVLlmDhwoU46KCDnECOjRo1yqofr9BAkePZZ59Fq1atnPEpblAYqFevXtZDfmiQrVu3ol27dpg3b54zBwa93L59O77++mvs3r0bt9xyC1544YUcVCletG/f3jm+0aBBAxxzzDFYtWoVvvnmGxQvXtwRDi644IIcbQYPHozrr78eZMx58djHnDlz8N9//6FLly5455138gS3lNDg4mZW0+QT2LMD+HEEUPFQoGItoPrRQNGiMc9DQoMxMtk7Y1SJERpk7xJr71wsr++aSmiwv2QJFxpmvwxk7gJa9onL1vGKZe/sr3siepTQkAiq/uzTysZr//792LIr03cEKpQu7jzIxlvcCA00knyQfu2115wH908++QTly5fPmgofqvnGv0aNGs5nxx13XNZnb7zxBq655hqceOKJzsN3qMQrNDCexJdffomTTjrJ6YoeC6effrojBHCsq666KmsMCh8vvfRSnjkvXrzYER3Wr1+P8ePHo3Pnzk4b3hv0dqDYcPfddzteEyHmH330Ebp37+7Es/jtt98cMYFl5cqVaNiwIfbu3ev0Re8KFp4HZuaOkSNHOv+fO4tGpHXUZiTeu1vtEk5g/WLglRMDwxQtAfRdH9fmSxsv45WSvZO9c+xNqto7429CClSUbbe/iAkVGlbNBYadCezfCxx5OnD+a0DZKjFfhOxdzMgKpUH8T1aFMl0NmkACVjZem3dmoGm/yQmcZmK6XvBwB1QsUyLuzuMVGvhW57LLLsMHH3yAc889F6NGjXKOK4QX/p4CQ/hDe/jn55xzDni04IcffnA8BFjiFRoeeOAB51hDeKEI0K1bN/To0cPpl4WeC/RioOfCokWLHDEgvLz44ouOR8Npp53mHAFhmTJliuPNQG+MP/74AyVK5OTdtWtXjBkzxhmf82BhCtBHH30UV1xxBd56660cY/D4CPuiGCKhIe5bVw29QOD3L4GRXQMzqVwbuHVBXLPSxssYm+yd7J1jZ1LV3hl/E1KgooQG+4uYMKFh+7/AkFbAljWBSVc4FLhuhoQG+0vomR4lNHhmKQp9Itp4JXnjdeeddzrHEfgg3rNnTwwdOhTFihXLcSPQgDKGAf/lUYHcD+eszLgNPPLAIwbXXnut0z5eoYFHMFq3bp1jDvRAaNKkCTp06IBJkyY5n02fPt3xWuAxj++++y7Pzcu5Vq5c2YmnsG3bNhQtWtQRDCgc8LoZ8yF3GTt2LM477zzHa4HxG1goTFCg+Oyzz3DmmWfmacP6bCehodD/fmgCbgh8/yYwoU+gh9qtgJ4T4upNQoMxNtk72TvnyGGq2jvjb0IKVJTQYH8REyI07NsHvNsd+CPw8glFiwNXTgRqNY/rAmTv4sKW9EYSGpKO3LMDauOV5I0XYxJkZmbirLPOwoQJEyIe3eDxg+rVqxvdNOGeAPEKDQzoeMQRR+QYL1KQL3peXHzxxY6nA70xIpVKlSph8+bNTjyGAw88ENdddx2GDBniHLe48cYb8zRhEEp6ZBx99NHO8QoWekowFgW9Jho3bpynTZ8+ffD8889LaDC6Q1TJswS+ehSYMSgwvaaXAOe9GtdUtfEyxiZ7J3vnBDBOVXtn/E1IgYoSGuwvYkKEhhnPAl/1y55shwHAyTfFPXnZu7jRJbWhhIak4vb0YFY2XorRsCJrkaNF4WYgQ3oG8BjCe++95zy05y7MysB4BQcccAB4tKCgwiMW/GGJV2hYvnw5ateubUVooEcDPRtMhQZ6dzRr1kxCg6f/TGhyCSHwUS/gp9GBrlvfDbQPHB2KtWjjZUxM9i7JMRpk73Lem4m2d8bfhBSoKKHB/iJaFxpWzALe6hKIy8DSoBNw0UjAxd8h2Tv7656IHiU0JIKqP/u0svHy56W7n3W8MRp4HIBHEhhngCkizz///ByToccDA0MybSQf2k0DViZaaAgdnWAGjG+//TYPQHoy0KMh0tEJHvN46qmn8rRhHAoKJeFHJxgcc+rUqfkenSCvjz/+WB4N7m9h9VCYBN48E1j1TWAGZ78IHHtFXLPRxssYm+ydMaq8FWXvcjLxor1zsby+ayqhwf6SWRUatm0ABp8CbFsXmGilw4BrpwNlKruauOydK3xJayyhIWmoPT+QNl4ulijejdcjjzyC2bNnOw/Xu3btco4hMLhjeKEYwZgFjOXA4IomJdFCQ3gwSGaZYPrL8PLyyy/jpptuihgMkh4TDAaZOx4F01p++OGHOYJBPvTQQ3jsscecGBaMwxBeNm7c6ASD5FwUo8HkrlAdzxJ47mhg8+rA9C7/GKjbPq6pauNljE32zhiVPaFB9i6bZaLtnYvl9V1TCQ32l2zrnq0448NAli+WSd0moXzJ7GxoxiPu2wu80xVYNiXQhFmVrp4E1MzOnmbcV66KsnfxkktuOwkNyeXt5dG08XKxOm6EBg7L9JEUG/bs2eM8bNPNNFRmzpzpBF485JBDMGLECLRt2zbHTBlscfTo0U7MBHoQsCRaaOAYFBIoKDD9Jb0KypUr54zN9JScL499MBtG6FrC01sy2wZjSoQ8NNieR0dyp7fkUY5GjRo5wTAZEDIktDC9JdN6vv32286YEhpc3LxqWrgE9mYC/atlu5TeNA+oemRcc9LGyxib7J0xqrwVZe+8b+9cLK/vmkpo8PCSTXsKmDIge4IdnwRaXGdlwrJ3VjAmvBMJDQlH7JsBtPFysVRuN14cmoJCx44dwYdopnns1KlT1oyYUYIP9nv37nViGNSvX9/JQME4EAyiyDSTmzZtco4rJEto2Lp1K3i0Yd68eahWrZojLtC74Ouvv3a8M5je8oUXXshBlUEe2YapKSkgMCbDqlWrMGvWLDA45siRI9G9e/ccbULeEcxcwQjhNWrUwJw5c5zr7dy5s9NGQoOLm1dNC5fAf6uB54/OnsMD64ASAcEw1qKNlzEx2TtjVPaFBtm7xNs7F8vru6YSGjy6ZMunA2+fA+zfF5hgo7OB7m+7issQfqWydx5d91zTktDgj3VKxiy18XJB2YbQwOEZ+4BZKBibgWkbKTyECgUFZlhgzIK1a9c6b/9r1qyJE0880YntwHYhD4FkeDRwXhQWBg0a5MSXYARvxpJo2rQpbrjhBsfDIlKhsEBvBh4HodcD03eecsopuO+++9C8eeQ0R2QxcOBALFy4EKVLl3YEB/4/s1/069dPQoOLe1dNC5nAym+AYcHUreUOAu76I+4JaeNljE72zhhVYoQG2bvE2jsXy+u7phIaPLhkW/8OxGXYvj4wucp1gGunAaUrWpus7J01lAntSEJDQvH6qnNtvHy1XJpsrAS0GYmVmOonhcDC0cCYXoGhDjkG6D017mG18TJGJ3tnjEoVRcDbBGTbPbY+jMtAT4YVMwITK1YSuPoL4JBmVicqe2cVZ8I6k9CQMLS+61gbL98tmSYcCwFtRmKhpbpJIzD9GeDrxwLD0bX0whFxD62NlzE62TtjVKooAt4mINtuf30YU2trxtasjsuXKG+c9QxfDwCmh2UW6zQIOOEa65OUvbOONCEdSmhICFZfdqqNly+XTZM2JaDNiCkp1UsqgfG3AfOCGVVa3Ah0fDzu4bXxMkYne2eMShVFwNsEZNvtr0/c6S3/+CqQZQL7A5M66nyg25vW4jKEX6nsnf11T0SPEhoSQdWffWrj5c9106wNCWgzYghK1ZJLgJuyP74MjNlxINDi+rjH18bLGJ3snTEqVRQBbxOQbbe/PnEJDVvWBuIy7PgnMKEDjwwcBSwVR1pMg0uSvTOA5IEqEho8sAgemYI2Xh5ZCE0jMQS0GUkMV/XqksDLJwIbFgc6ufAdoFF2attYe9bGy5iY7J0xKlUUAW8TkG23vz4xCw1M0/xWF2DVN4HJFC8NXPMVUCMso5LlacreWQaaoO4kNCQIrA+71cbLh4umKZsT0GbEnJVqJonA/v3A4zWBjO2BAXtPcxUwSxsv43WTvTNGpYoi4G0Csu321ydmoeHLR4CZz2VPpMv/Acf1sD+xsB5l7xKK11rnEhqsofR9R9p4+X4JdQEFEdBmRPeH5wjs2Ag8VSd7WnctA8odGPc0tfEyRid7Z4xKFUXA2wRk2+2vT0xCw2+TgXcvyJ5EkwuB84YkJC5D+JX60N4dD+AWACcDqAtgAIC+EVaPCs3NAI4EUALAEgCMrjnK/konvkcJDYln7JcRtPHyy0ppnnER0GYkLmxqlEgCaxcAQ1oHRihRFrj/L1ebMx9uvBJJt6C+Ze8Ki7zGFQHLBGTbLQMFYCw0bP4TGNwK2LkxMImqDYBeXwOlDrA/qVw9+tDe3QrgRgA8X3IugJfyERpuA0CA8wHsCtZlu/MAjE04WMsDSGiwDNTH3Wnj5ePF09SjE9BmJDoj1UgygcWfAqMuCW7Q6gM3fedqAj7ceLm6XheNZe9cwFNTEfASAdl2+6thJDTszQCGnQX8+W1gAsXLAL2nANUa2Z9QhB59aO+KAtgXvJQVAN7JR2iIxG8mgLUAwlxHkoLZ9SASGlwjTJkOtPFKmaXUhUQioM2I7gvPEZgzGPj8nsC06p4KXD7G1RR9uPFydb0uGsveuYCnpiLgJQKy7fZXw0homNwX+ObF7MHPfRVoFhTO7U8pT48+t3exCg2fBHOG0hPCV0VCg6+WK6GT1cYroXjVeWET0GaksFdA4+chMOkBYDa9JwEc2wM4+/9cQfL5xsvVtcfYWPYuRmCqLgJeJSDbbn9logoNiz8DRl2cPXCzy4BzX7Y/kQJ6tGzvjgNwOoDmwZ+awaGjPSeXAXAfgIsAHAaAZ0g+B/AggDUFTN9EaCgOoCyAMwEMA9AVwMSkQrYwWDSAFoZQFz4hoI2XTxZK04yPgDYj8XFTqwQSGH0F8AtfVABo3xdofZerwSxvvFzNxeONZe88vkCangiYEpBtNyVlXq9AoWHTSmBIK2DX5kCH1RoHUlmW5DNx8ople8fYB+dEmH1Bz8mlAUwB0CJ4rGEGgNpBobIMRyEAACAASURBVGJD8PfL8iESTWioEeyTzfcCuAHAa8mja28kCQ32WPq9J228/L6Cmn+BBLQZ0Q3iOQKvtwfWzAtMi1G6m/KlSPzF8sYr/ol4v6XsnffXSDMUASMCsu1GmGKqlK/QkLkHGNYx226VKAf0ngocVD+m/m1UtmzveIaxHAAGSuIPhYBSAAp6Tu4P4AEAswF0ALAteF23AxgEYBqAtnEKDfRmaAagPICOAPoAoAvJRzbYJbMPCQ3JpO3tsbTx8vb6aHYuCWgz4hKgmtsn8HQ9YPv6QL89PwNqt3Q1huWNl6u5eLyx7J3HF0jTEwFTArLtpqTM6+3euxtv/PRGVoOr/3c1ShUrBUy8F5j7anZH5w8FmhROfMIE2ztmeyhIaCgJgMa7Ig8+AvgxF90FAJoAYErL4NuEHDWieTTkXqzXAbQBkHxFx/y2iVhTQoNLgCnUXBsvjy3mihUrUKdOHbRp0wZTp0712Oz8Nx1tRvy3Zik944xdwIDq2Zd460Kg8uGuLjnBGy9Xc/NYY9k7jy2I7J3HFsRH05FtT9Ji8Zgfj/uFynE9gS4vJGnwvMMk2N5FExraAfgawFIAR0aAwBgNjwLoB+CRCJ/HKjQwvSVh09PBV0VCg6+WK6GT1cYroXhj71wbr9iZFdRCmxG7PNWbSwL/LgVe5IsQOmcWBfquB4qVcNVpgjderubmscaydx5bENk7jy2Ij6Yj256Exdq4DBjSBti9JTBY9f8B13wBlGAsxMIpQXu3O/iwH2kSR7mYWTSh4TYAzwH4AED3CON0AjABwMcAzo/weaxCw0gAJ+Yjari4zMQ3ldCQeMZ+GUEbL4+tVEZGBpYuXYqyZcvisMMYzFbFDQFtRtzQU1vrBJZNBd4Oxp6qUBO4/RfXQ0hoMEYoe2eMKjkVZe+SwzkVR5FtT/Cq0vvuzQ7AWp4GAFCyPHDtNODAugkeuODuC1loeDYYN4FiA2My5C5NAcwH8AMAZrRgOSh4/IH//QqA6QBGAdieK5sEA0wyFsNiAAw4yY3CNQB6A+ARCl8VCQ2+Wq6ETlYbr4TiVeeFTUCbkcJeAY2fg8API4BxNwV+VasFcPUk14AkNBgjlL0zRqWKIuBtArLtCV6fCbcD32fHa8AFw4GjzkvwoNG7T7C9i+bRwAwQvQAMANA3wmx5nOL34E8orgIDQ1JEyF1WBrNVhH7/fDClZa2gCMG3EE8HPSSig/FYDQkNHluQQpyONl4u4Ie7fY4bNw4PPvggxowZgw0bNjhxFnr37o1bb70VRYsWzRqldu3aWLlyJWgkX3rpJQwdOhS///476tevj/nz5yOaK+mIESMwZMgQLFy4EJmZmTjyyCNx8cUXo0+fPihdmiJodunZsyfeeustTJkyBbt378bAgQPx448/YvPmzdi0aRMqVark4ur90VSbEX+sU9rMcsoTwLSBgcs9uhvQLWwjFyeEBG+84pyVJ5vJ3rlYFtk7F/DU1DoB2XbrSJEVDHL9L8Av43D15s0otR/ACb2ATs/YHzCOHhNs7xIhNMRxlf5vIqHB/2to6wq08XJBMrTxatGiBUIuoO3bt8eePXvw1VdfYefOnejRoweGDx+eR2igCDFs2DAn6OOBBx7otKFIUZDQcO211+K1115zBAWOw+MVDBj5zz//4KSTTsKXX37p/C5UQkJDr169HEHj+OOPR926dZ2jGV988QUqVmTg3NQu2oyk9vr67urG3gDM57FLAC1vA05nzCh3JcEbL3eT81Zr2TsX6yF75wKemlonINtuHSnypLdcuRoVqjcFrp4MFGcyhsIvCbZ30YSGeI5OFD60QpiBhIZCgO7RIbXxcrEwoY0Xu2jSpIkjLlStWtXpkQ/zrVu3xl9//YWPP/4Y5557rvP7kEcD61Ek4B/N8JKf0PDRRx+hW7duOOSQQ5x29erVc5rRO6Fz586YOXMm7rjjDjzzTLbqHBIaWG/UqFG48MILXVytP5tqM+LPdUvZWQ/vDKyYEbi8Ts8CJ1zt+lITvPFyPT8PdSB752IxZO9cwFNT6wRk260jxZbt69Hyw1OzOp61djMq9J4GVKljf7A4e0ywvYsmNLgNBhnnVfuvmYQG/61ZomZsZ+O1fz+wa3Oi5pi4fktXBIrE/3UI33hNnjwZp59+eo65Dh48GNdffz1OPfVUx9sgXGh4+umnceedd+a5tvyEBno+TJ8+3Tk2QW+I8MJjFM2aNUO5cuWcYxuhIxQhoaFTp06YMIGBcNOvaDOSfmvu6St+/n/Af6sCU7zsI+DI01xPN8EbL9fz81AHsneydx66HTUVNwRk293Qi9x2y9jr0HLzrGyh4dgHUeF/kZIr2B/btMcE27toQoPb9Jaml+n7evE/Wfn+0nUBuQjY2Xjt/A940l0u+EJZmXtWAmXij1MQEgWqVKmCf//9N88l0NuAcRDKlCmDbdu2ObEaQh4NS5YsceIy5C6RhAYeyzjggAOc4xXsh4JC7kKhYcGCBZg9ezZ4lIMlJDREEicKhXchDKrNSCFA15CRCezNBPpXA/bvDXx+0/dA1YBnkpuS4I2Xm6l5ra3sneyd1+5JzSdOArLtcYLLr9mC97Hlk2vR8nDGIgyUWRfPQoWSFSwP5K67BNu7aEJDSQDrAfDc8THBDBPhF8QUHU0AHA9gnrsr9XdrCQ3+Xj+bs9fGy8LG65hjjsEPPzCbTd5SuXJl/Pfff04cBcZiCAkNjN+QO3gjW0cSGtatW4eDDz7YOZZBj4VIhUczPvnkE3z44Yfo2rWrUyUkNEycOBEdO3a0ed/4pi9tRnyzVKk/0U0rgRe4BwmWB9ZZyUee4I1XKq2L7J3sXSrdz2l9LbLtFpd/wxLgtbbYsnenhAaAwSgKek7uD+ABAN8A6BDMEMHFYLrLQQCmAWCmibQuEhrSevlzXLw2XoW08drP4yYRSrxCw3nnnYexY8dGFBqYdaJt2/T8u6fNiP7YeYbA8hnAW50D0zmgOnDnb1amJqHBGKPsneyd8c2iit4mINtuaX32bAdePxXY8Cu2FC2SbkJDJwAPhpFsHhQZ5ob97jEAn4b9P9O7TQVwIoC1ABh0iS7d/H++CaRL8TJLq+PbbiQ0+HbprE/czsYrzWM00FOBHgu5y5YtW5zMDjw6sXXrVhQrVizLoyEWocHk6AS9KpgeM9LRCQkNS5yladCgQY5Uo9a/TepQBAoi8ONI4JMbAjUObQ5c84UVXhIajDHK3lmI0SB7Z3y/qWICCUhosAQ3LBNSGgoNPQEMi0LySgDZqeMClcsAuA/AJQB41mQjgM+DosWfllbG191IaPD18lmdvJ2Nl9Up+aez8GCQDPbIoI/hhakomZKSqSiZkYIldHQiFqGB7ULBIJmm8uqrc0aq//nnn52sF/kFg5TQIKHBP9+qFJ7plCeAaQMDF3h0N6DbG1YuVkKDMUbZO2NUeSvK3rmAp6bWCUhosIA0XPwGsKXFdWj592dZHadhjAYLUNUFCUho0H0QIqCNl4t7IXzjxWCMFBv4todl+fLlaNWqFdasWQOmpjz//PNdCQ2MvXDBBRfg0EMPxbRp03DEEUc4/dFTokuXLs7v8ktvKaFBQoOL21xNbRH4+DpgwXuB3k65HTjtYSs9S2gwxih7Z4yqYKFB9s4FSDW1QkBCg0uMf/8CvN4eyNwZ6KjWidhyySi0HN1GQoNLtGouoUH3QDYBbbxc3A0hoYFZHpgRYtmyZY73Ao860INhx44duOyyyzBixIisUeL1aGAH9I6glwSPYnCcsmXLYurUqU6ASM6BY/J3oRIKBimhQUKDi9tcTW0RGHYWsDKYOqzz88Dx9Mh0XyQ0GDOUvTNGlb/QIHvnAqKaWiMgocEFyt3bgNfbAf8E4wSVqQJcNwNbylRAy/daSmhwgVZNAwTk0aA7IURAGy8X90J44EZmfLj//vudgIyM11CnTh306tULt912mxObIVTcCA3sg6LF4MGDsXDhQmRmZqJu3bq45JJL0KdPH0eACC8SGgBtRlzc4Gpql8BzRwObVwf6vPxjoG57K/1LaDDGKHtnjCp/oYHH+GTvXIBUUysEZNvjxMiYamN6Az+Nzu7g0g+Beqdjy54tEhrixOqTZkzLeRCASgD+Cwav3JyIuUtoSARVf/apjZeLdYuUIcJFd2qaAALajCQAqrqMncDeDKB/NWD/vkDbm38ADqwbez8RWkhoMMYoe2eMqmChgZ50KiJQmARk2+OkP284MP7W7MZhx/gYO2xrxtasz8qXKI8iLgLIxjnDApvJ3sVEtTiA8wAwuwbPxBwWofWqYErOCQDGAsiMaYR8KktosEExNfrQxsvFOkpocAEvSU21GUkSaA1TMIGNy4H/axasUwTo+zdQnOm63RdtvIwZyt4Zo5LQ4AKVmiaBgGx7HJDX/RRIZbl3d6Dx4S2BK8YBxfg86o8ie2e0TvRYuAfAVQCqBk8y8C0H03EyQ8YWAPRuqAzgkODn+wEwfR6jVD8V9HgwGixSJQkNcaNLuYbaeLlYUgkNLuAlqak2I0kCrWEKJrBsGvD22YE65Q8B7vjVGjFtvIxRyt4Zo5LQ4AKVmiaBgGx7jJB3bQFeawtsXBpoWLYqcN1MoMLBMXZUuNVl76LyvzOYepMiwh8AGIGaLmjfM358hNblAZwAoB2AiwDQ1XITgMcBDIo6Wj4VJDTESy712mnj5WJNJTS4gJekptqMJAm0himYwA8jgHE3BerUagFcPckaMW28jFHK3hmjktDgApWaJoGAbHsMkBmX4cOrgEVjgo2KBOME8dnSX0X2Lup60XNhHIAnAMyNWjtvhZMA3AugM4DsAHMxdiShIUZgKVxdG68UXlxdmoJB6h7wCIGvBwDT6Y0I4H/dga6vW5uYNl7GKGXvjFGpogh4m4CEhhjW59vXgc/4ojtY2twDtLs/hg68U1X2Lupa8Izm/Ki1oldw1Y+EhuiA46lRDsA5QRWoCU8/ASgadF35CMCzALbF0PGKYB/5NWkEYHEM/UWqqo2XS4Bq7m0C2ox4e33SZnaM8r3w/cDltroTOPVBa5eujZcxStk7Y1SqKALeJiDbbrg+f/0IvNEB2Lsn0KBOa+DysUDRvC+rt+7ZijM+PCOr40ndJqF8SXrWe6fI3nlnLQqaiYSGxKzTNQBCr6l4APdnABUAnMxTuUFRgFE/1xsOHxIa3sqn/n3BwB6G3UWspo2XG3pq63kC2ox4fonSY4JvdgRWzQ5c69kvAsdeYe26tfEyRil7Z4xKFUXA2wRk2w3WZ9dmYEhrYBMfJwCUqxaIy1C+esTGSm9pwNR/VbjZYKyGb6JMvQWA+gDetnGJEhpsUMzbR4+gqPA8gPBIX4y08imAY4JBOS4xHD4kNCRyvbTxMlwMVfMnAW1G/LluKTfrZxsDW9YELuuKT4Aj2lq7RAkNxihl74xRqaIIeJuAbHuU9WFchtGXA7+OD1QsUjRge+jRkE+R0ODtez7O2TFmw/BgBoqCuuCLcmapiDsuQ3jniXxwjZNDyjdjcA2qScwpQy+HoA9TgdctoSHlbwtdYKIJaDOSaMLqPyqBzD1A/2oAmD0KwC0/AlWOiNrMtIKEBlNSkNBgjEoVRcDbBGTbo6zPnFeBzxnTL1jaPQC0ubvARhIavH3Pxzk7U6GBaS35wtxKrlMJDXGulotmZQFsD7ZnzlLmMo1WJDREI6TPRSAKAW1GdIsUOoF/lwIvHhucRhGg73qgeElr05LQYIxSQoMxKlUUAW8TkG0vYH3+nAe8eQawLyNQqW574NKPgKIMG5d/kdDg7Xs+ztmZCg1TADQFUCXOcXI0k9Bgg2JsfRwN4CcA/NYzXgM9G6KVkNBACZJ5TdlmEYCPAWyI1tjwc228DEGpmj8JaDPiz3VLqVkvnQKMODdwSRUOBW7nn3F7RUKDMUvZO2NUqigC3iYg257P+uzYCAxpA2xeFahQ/uBAXIZyVaMuqISGqIj8UuGhsIk+EsxCMTafydODoQGAbgC+ANDRxkVKaLBBMbY+ePaFwSJ5WOpsw6b5ZZ3YAeBmAG8a9lNQNW28LEBUF94loM2Id9cmbWY27y1g/C2Byz3sZOCqiVYvXUKDMU7ZO2NUqigC3iYg2x5hfRiXYdQlwJLPAh8WKQb0nAAczpj00UuihYZlm5ehdLHSOOQAOnbHV2TvjLjRi4FnNfm8H/o3WkMmKjgLwA/RKpp8LqHBhJK9Oly4CQAyAZwAYIFh1/8HgK4s84IeDDzUy0AdtwbTZp4H4BPDvvJ7hVa3cePGpRYtKvgNm/6gG1JWNc8R0L3ruSVJvwl99Rgw45nAdTe5CDh/iFUG2ngZ45TQYIxKFUXA2wRk2yOszzcvApP7Zn9w2iPAKX2MFzKRQsOOjB24cMKF2LhrIwacMgBta8UXEFn2zmg5GWuBhc/7fCk9EwBjMEQqjBn4F4A5ht72RhOQ0GCEyUqlhsEgkJUB3AbgBQu99gLwGoAlANi/SZHQYEJJdVKOgDYjKbek/rugj64BfvogMO/WdwPtH7B6Ddp4GeOU0GCMShVFwNsEZNtzrc+qucDws4B9fKcJoF4H4OL3o8ZlCO8lUULD/v37ce+Me/HZ8oCnRdEiRfHJOZ+gdsXaMd9ksncxI+MLa7pRPhVzSxcNJDS4gBdD05oAZgE4HMCzAO6IoW1BVRnNhcEkGca8DoBggty4etfGKy5sauQXAtqM+GWlUnieb3QAVs8NXOA5LwPHXGb1YrXxMsYpe2eMShVFwNsEZNvD1mf7v8CQVtkplBkL6LoZQNnY4volSmj44LcP8OjsR7Mm3Ot/vXDLscHjhDHeZrJ3MQIrpOoSGhIPnt/uGQAaAxgG4Ors3GZWBmeqTKbM5MGr2S561MbLBTw1DRB45JFH0K9fPwwbNgw9e/b0FBZtRjy1HOk5mUENga3BREM9xheYxzweQNp4GVOTvTNGpYr5EfCyvUunVZNtD672vn3Au92BPxjHj+4CxYErJwK1msd8OyRCaFi8cTEu/fRS7NlHD33g+OrH4/UOr6M45xlHkb2LA1p2Ez43tgLAF+Esa4LPqm6eIyNOSEKDq3WK2vgAAF8B4Ld8DIDuAPZGbRVbhV+DxyaYimRhbE1z1NbGywU8rzWdOnUq2rVrhx49emD48OFJm56XN17ajCTtNtBAkQhk7AIGVM/+5Jb5QBU6otkr2ngZs5S9M0bl/Yqyd95fo0TOULY9SHfGs8BX/bJRd+gPnMx48bGXnZk70X9O/6yGfVv0RZniZWLvKNhi255tTlyGVVsDGTCqlK6CD7p8gGpl6ZAdX5G9i4tbfQAjqPMEW4d0AAaKZPkeAF0tf4+r9wiNJDTYIpm3n1IAeAipPYBJwQwTARnPXjkqmCpzJwDGfnDTvzZe9tal0HsqrI3XP//8A/4cfPDBqFixYqFzCJ+ANiOeWo70m8w/vwMvBW07I4D3XQ8Ui+9NTn7wtPEyvq1k74xReb+i7J331yiRM5RtB7DyG2B4Z2B/8F1mg07ARSOBIoX/mMe4DHdOuxOTV052boMiKIIhpw/BSYfwpXr8RfYuZnYHBzNJ8I0Hgz4yYBSP3FNkYJCMC4IeDnS75GYl6H4Z8zg5GhT+Hehu/l5tXSy4gMwGwWMTzEXKVJQFlZsA8OdjAPeFVWSmil0Avs7VuAmAUQAaAWBWCmagcFO08XJDz2NtC2vj5TEMOaajzYiXVycN5vb7F8BIpqemLFwbuNU06ZA5G228jFnJ3hmj8n5F2Tvvr1EiZ5j2tn3bBmDwKcC2dQHMlQ4Drp0OlOH7x8Iv7y1+D4/PfTxrItc3vR43NLvB9cRk72JG+DKA6wE8F3zOzP1yugSAJwDcDoB143OHyTUtCQ0xr5NRAz70Px+sSeFgSz6t7gTwT/CzRwA8DOAtAOGH20O/XxlMh0nBguktjwXA12FTg/lO6dXgpmjj5YLeihUrUKdOHbRp0wbjxo3Dgw8+iDFjxmDDhg3O73v37o1bb70VRYsyfmd2Wb16Nfr374/PP/8c69atc7wATjnlFNx333044QRmQM1Zfv75ZwwcOBDffPMN/vrrL5QvXx41a9ZE27Ztcc899zieBIyN8NZbvI3ylocfftiJoxAqHP/JJ5/ExIkTsWbNGpQtWxYnn3wy7r//fuff8BK+meMc+vbtmzXvZ555BrfddluBMRr+/fdfZ+5jx44Fx+VYzZs3x+23344OHTrkmWyRIkVw+OGH47fffnPavfvuu1i+fDnOPPNMp49YS9pvRmIFpvp2Ccx9DZh4V6DPI9oCV5hmJDafhjZexqxk74xR5a0oe+d9e+dieX3XNK1t+769wDtdgWVMKMC4DCWAqycBNY/zxDou+ncRLv/scmTsy3Dmc2KNEx1vhmJF+T7WXZG9i5nf8uCLa76gzq9QF/gFQOlgkoGYB8ndQEKDa4QROwiJA9F6D88UkZ/QQN+iawDwqfMQAPRHp3DBeAwjgwEmbcR90MYr2moV8Hlo49WiRQtkZGRg6dKlaN++Pfbs2YOvvvoKO3fuzBMv4aeffnLq8KhBgwYNcMwxx2DVqlWOiFC8eHHnwfqCC+jJFCjz5s1zRIhdu3ahSZMmaNiwIXbs2IFly5bhl19+wZQpUxzBYejQofjwww8xadIk1K1b12kTKueeey74wzJ79mx06tQJmzZtcsbnH20KI/w9Xd1GjhyJCy+8MKttSGg466yzsHDhQmRmZmbNp0uXLo6Ykl+MBooYrVu3duZ62GGH4aSTTnLGmjZtGvbu3Ytnn30WffrkzPFMoaFWrVo4+uijMX36dEfEKVeuHA488EC8+uqrMa9WWm9GYqalBtYJfH4/MIcvCQAc1xPoYiPDcc5ZauNlvGqyd8ao8laUvfO+vXOxvL5rmta2fdpTwJQB2WvW8UmgxXWeWEMGlOw+vjvWbGOcQaBqmapOXAb+a6PI3sVMkd7xHwG4NEpLPlt2DYoNMQ+Su4GEBtcIU6YDKxsvPqBuzdjqOyjlS5QHH2zjLaGNF9tTBKC4ULVq4I8pRQc+ZNMD4eOPP3Ye9MmpadOmoNhw9913O2/sQ+N/9NFH6N69u/PGn2/z6aXAwsCOb7/9Nug9cMcdOTOkLl682PGGCNWN5kq6ZcsWR6hYv3694/1w6aXZf3e+//57x8OAggmFgYMOOsgZP9Qn//u8885zhJDSpSl6Zpf8hAYKERMmTMAll1ziZKQoWbKk02jmzJk444wzsHv3bnDcZs2aZXUW4nHkkUc6Y9Nzw01J682IG3Bqa4fAe5cASz4N9HXaI8ApOYU1G4No42VMUfZO9s65WVLV3hl/E1KgYtra9mXTgBHnAvv3BVaxUReg+wgrcRky9mbg0+VBewWgU51OKFGMnvVmhXvcPlP74KtVjIcPFC1SFEM7DMUJNfJ66pr1mLeW7F3M5NYDWAygdZSW04NJBuKP1Bk2QPxPVjFfn+ca8NhBJQD/Acj03OySPyErG6/cKXGSfxnxjTjr4lmoULJCfI0ZTSV4dIIdTJ48GaeffnqOvgYPHozrr78ep556Kr788kvH+4DeDHy7/8cff6BEiZx/wLt27eocveCxigceeMDpi54EPOIwf/58R6QoqEQTGp5//nnHg4CCBYWL3OW5555zjjSEexqE+ixVqpQjnkR68I8kNFCsoGfFAQccgJUrV6JKlZz5nDkHjnPNNdfg9ddfz5pKSGj44IMP0K1b8Gx73CsEpO1mxAUzNbVI4JWTgfWLAh1eMBw4iiF87BZtvIx5yt7J3mXdLKlo74y/CSlQMS1t+9a/A3EZtvPZMRj3h3EZStsJwu02veWIX0bgqe+eyrq7bj7mZvRu0tvq3SZ7FzNOntfsHExOkK0i5eyGcQHHB38C7s8uSzoJDZTROgFoA4CvTcOfKnkUYT6AaQAI/zuXXP3YXBsvCxsvPkQzFkHusnnzZlSqVAllypTBtm3bHAGB8RLuvPNOPP3003nqMwYBvQb4tp/xG1gY94HtWrZs6fzLIxE8YhGpRBMaQqLFrFmz8sRiYH98y8MYERdddBHee+89Z4hQnzz2wOMdkUokoYFeGPTGoFhA0SB3oXDCYyM8vkHPjFCh0MAfHjuhuOG2pOVmxC00tbdDYP9+4PGaQMb2QH+9pwKHHGOn77BetPEyRip7J3uXdbOkor0z/iakQMW0s+2My/D2OcAKxpoHUKwkcPUXwCHZHqFul9WN0LBww0L0mNgDmfsD73BbHtISr5z2iuPVYLPI3sVMk0fx6a3ALBPvA3g3mHWCHR0O4GIAF9EBBUArAHNiHiFCg1QXGhhthPENeGCJWRrCr5f+/RQYKP8dEMaGC8Bw4IMBvJlG3g7aeFnYePGB+Ycffoj43axcuTL+++8/JyYDvRSGDBmCl156CTfeeGO+D9+MT8DjFSw87nDOOec4D/ws9BDgQz/jLDAAZHg6yWhCQ+PGjfHrr79G/Rty2mmn4YsvvnDqhfpk3IZRo5jwJG+JJDTwWAiDW+YnqpAJ2fB6tm7NPnZDkaF69epOkEwbJe02IzagqQ87BBgV/Jkjs/u6Z0VCIoJr42W8XLJ3snd5bpZUsnfG34QUqJh2tv3rAcD0bG8BdBoEnMBHHXslXqFh8+7NuGD8BVi7PZAZsVrZak5chiqlc3qy2pip7F1cFC8DMARAmaDgEN4Jn5GZWOBaAO/E1XuERqksNNDXmvlUuLvj0wvD1PMJ7dvgGZXwAIp8LdwQQHMA7QCcExQf/gimAGHwjFQvVjZe6R6jwZbQsGDBAideQbjQwBuQfOmFMH78eOfBnwEiGUyRD+QzZsxAvXr1cogC9CQYPnx4nnuX8RmWLFnieBkwwGJ+hfXuvfdeoz5ZKR6hIeTtEUloYNYJHkuxUdJuM2IDmvqwQ2D1d8AbpwX6omvrvavs9JurF228jLHK3lmI0SB79wj69evnxB2i2M8STVhPlr0z/iakcZuwmgAAIABJREFUQMW0su1/fBXIMuG8lAZw1PlAtzetxGUIvxXiERq4P73l61sw9c/Ay7BiRYrhzTPexLHVmSTPfpG9i5vpoQB6AWCkeCYZYPkLAF1k3gCwOu6eIzRMZaGB0VHomTAQAM+lMNqmaWGEOx6gvQfA//h9MW3o43pWNl4+vn5XUw/FaGBGBHos5C70RqDHAY9O8K39gAEDnKMTd911F556KkyZDjb85JNPnKCR4UcnIk2QwRyZVpLHG5ihYvTo0U61aB4NfHPDgJV0GT3uOLM0SNH65LgFHZ0In1/4tYRElUhHJyQ0uLot1dgrBBZ+AIwJvnE6uGkgx3kCijZexlBl74xR5a0oexdg4mV752J5fdc0bYSGLX8F4jLsCB7PrVI3cAyvdPzxxfJb7HiEhuE/D8egeYOyuuxzXB9cdfRVCbufZO8ShtZqx6ksNNArwUaiclv9WF24BHSmjZcLqOHBIBnskUEfw8trr72Ga6+91gkAyQf8UDDI2rVrO8EgixXLqWXxoZwpKsODQeY3PWam4EN6o0aNnDSXLIyhwFgOzCbxzjt5PaCefPJJx1OBRzg4hkmJV2gIBYMsX768k76TsSrCC8UWBqSMFAxSQoPJyqiO5wlMexqYEvyeNT4H6P52QqasjZcxVtk7Y1T5Cw38RPYup0eDV+ydi+X1XdO0EBr2ZgJvdQFWBeNjFS8NXPMlUIPvQu2XWIWG+evno+fnPbF3f8BZvPWhrfFi+xetx2UIv1LZO/vrnogeU1loSASvVO5TGy8XqxsuNPDIAzdf9G5gWb58OVq1aoU1a9aAqSvPP//8HOkt77//fudhP5RlgSkweaQhd3pLZq6gh0OdOnVyzDSUQYIpKSdNmuR8FprP8ccfj+++yxvblHERKE5s2rTJiRPBh/yiRbMD9WRmZjqCCDNL8PgGS7xCA9t27twZn376Ka644goMHTo0K8vG7NmznQwdu3btipjeUkKDi5tSTb1DYOwNwHympmZkrFuB0x9NyNy08TLGKntnjCpvRdm7AJP80jl7wd65WF7fNU0LoeHLR4CZz2WvTZf/A47rkbC1ikVo2LRrkxOX4e8dfzvzqVGuBj7o/AEqlc75Usn2ZGXvbBNNTH8SGhLD1Y+9auPlYtVCG68WLVpgz5494FsNei9kZGQ4D+w7duzAZZddhhEjRmSNwiCP7dq1c7JU0BuBAgXf+DMGA7NJjBw5Et27d8+qz895zICBHFmfdZilgb8rXbq0I27QiyFUmAJz4cKFTvYI/kGm18TZZ5/t/LDMmTMHXbp0cY561KpVyxEUGJSRwRcZ0JJiBEUPHuFgcSM0UGSh2ELRheIBg1hu2LDB6ZMxJgYNGuSk0wwvFF4kNLi4KdXUOwSGnQWsnBWYT+fngeOvTMjctPEyxip7Z4wqb0XZuwCT/IQGL9g7F8vru6YpLzT8Nhl494LsdWlyIXDeEOtxGcIX3lRo2Ld/H2746gbMWhOwb8WLFMfwM4ej6UEFp2C3cZPJ3kWlGB6LMGrlXBUYBCRyWrsYe5LQECOwFK6ujZeLxQ1tvNq0aQPGV6CXAlNU8iGeHgi9evVyYinkPiJBYYHeDExhyQd8xnFg2kpmaWjenLFJswsDQLLPuXPnOt4RFDQOPfRQtG7d2snoQA+F8MIjGTyWwCCR9FygMWZcCG6OQoVjMoc4vQ0oArAcfPDBjujA9Jpdu3Z1skGwuBEa2J6CyhNPPOFcw+rVqx2PDV7jHXfcAXpj5C4SGlzckGrqLQLPNga2rAnM6fKxQF3GHLZftPEyZip7Z4wqb0XZuwCT/IQGL9g7F8vru6YpLTRs/jMQl2HnpsC6VK0P9JoClApPlmd/yUyFhqE/DcULP7yQNYE7j78TPY5KnKdF+JXK3kVdd0ZSD0YNjVo3UoWc7tNxdZEz3WOcXXi22TIXM+PC1HXR3o9NtfFysWrhG69Q+kkX3alpAgik9GYkAbzUpSUCGbuAATWy7f0t84EqVux3nglq42W8ZrJ3xqgKFhpk71yAVFMrBFLWtu/NAOgN9yeT5fH9chmg9xSgWiMr3ArqxERo+H7d97h68tWgVwNLu1rt8EK7F7KOASd6krJ3iSZsp/9U9mgI3PmxFQoMISbZB9Zj68OvtbXxcrFyEhpcwEtS05TdjCSJn4aJk8A/vwMvHR9oXKQY0PdvoFiJODsruJk2XsZYZe+MUeWtKHvnAp6aWieQsrZ9cl/gmxezeZ37KtDsEuv8InUYTWj4d+e/TlyGDTs3OM1rHlAT73d+HxVLVUzK/DiI7F3SULsaKJWFhkhg/g8Akx2/DOA9xswLVjocwMUAbgTwFoBbXFH1Z2NtvFysmzZeLuAlqWnKbkaSxE/DxEng9y+Akd0CjSsdDty2MM6OojfTxis6o2AN2TtjVBIaXKBS0yQQSEnbvmQi8N5F2fSaXQacy0eX5JS9+/bi9/9+zxqsXqV6KFY0kB2Nn1335XWYs3aO8//FixbHiDNH4OiqgcDhySqyd8ki7W6cdBIaKB48zZjfAL7PBxtfOzF3zN0AnneH1nettfFysWQSGlzAS1LTlNyMJImdhnFB4NvXgc/uDHRQpw3QY5yLzgpuqo2XMVrZO2NUeSvK3rmAp6bWCaScbf9vFTC4FbDrvwCrao2Ba74CSpa1zi6eDl9d8Cpemf9KVtN7m9+LSxtdGk9XrtrI3sWNrxmAGwC0AnBIsJe/AMwAMBjAD3H3HKFhOgkNiwD8CeCMKAA/B1CLXjk2QfugL228fLBImmL8BFJuMxI/CrVMJoFJDwCzXwqMeGwP4Gw61iWmaONlzFX2zhiVKoqAtwmklG3P3AMM6wismReAXqIc0HsqcFB9TyzC3LVz0WtyL+wPxhg8/fDTMajNoKTFZQiHIHsX1y3xEIAHAQTcU/IWhh3oz1i3cfUeoVE6CQ07AYwNHpEoiB+PVJwDwBvSoa2Vjt6PNl7RGamGjwmk1GbEx+uQdlMfdSmweELgsk99GGiVM42rTR7aeBnTlL0zRqWKIuBtAill2yfeC8x9NRv4+a8DTbLTnBfmSmzYsQHdxnfDxl0bnWnUKl/LictQvmT5QpmW7F3M2C8PhgfYFiWEAFOaMMzAiJhHSHOhIZhbzMkmsSsfeKUBLA1+VtMGYB/1oY2XjxZLU42dQEptRmK/fLUoLAKvtgT+/jkwerdhwNHnJ2wm2ngZo5W9M0aliiLgbQIpY9t/GQeM5rNgsCTYAy6WVc3cl4neX/TGd+u+c5qVKFoC75z1Dhof2DiWbqzWlb2LGSfdZBhI42QAQZeZPH0cFwwhwE0L/9t1SSePBvqu8kzKZwBuCgsEGYJYGwDDu54FgHIi66RT0cYrnVY7Da81ZTYjabh2vr3k/fuBx2sCGdsDl8D85zWPTdjlaONljFb2zhiVKoqAtwmkhG3fuAwY0hbYvTkAu/rRwDVfAiXKFAr87Rnb0WNij6yxTzrkJAxfNDzr/x9s8SC6NyhcTwvZu5hvjR0ApgPoGKXlRABtbHn2p5PQUBnALAANGTQ1GBByZRA2s05QuSkOYHEwYOSmmJfQ3w2MNl779+/H4sVEBNSrVw/FixOZigh4n0BmZiZ+/z0QRblhw4aFcqbQ+5Q0Q6sEtm0Anjkyu8u7lwNlq1gdIrwzbbyM0RrZu5R4gDFGoooi4E8Cvv+eZuwC3uwArF0QWICSBwC9pwFVw2xHkpcmd3rL8OHPrH0mnmz9ZKHvoWTvYr4p1gGYYhBCYBSAtgBqxDxChAbpJDTw8isBeALAFQByy4SM4cDzKPcBSDeRgWyMNl6suHTpUuzZsweHHHIIKlZMXs5cGze8+khfAps3b8Zff/2FkiVLom5dnqBSEYEEE1j9HfDGaYFBmF/83pVAkcSZXW28jNfTyN75/gHGGIcqioB/Cfj+e/rpHcB3Q7MXoNubwNFdC3VB8hMaaleojVGdR6Ecg1QWcpG9i3kB6JLSAXBCCPCZN1LhszFDCHwBINulJeahshskbsfjYlJJaMpAj/RgCKX1WBs8rxL0b03CDLw3hNHGi9Nev349/v33XxQrVgzVq1dHuXLlULRoUe9dkWYkAgC4Cdm+fTv+/vtv7N27FwceeCCqVasmNiKQeAILPwDGXBMYp0YT4Dpmj0pc0cbLmK2RvfP9A4wxDlUUAf8S8PX39OcxwIdXZsM/4Rqg06BCX4xIQkOpYqUw8qyRaFClQaHPjxOQvYt5GeihMAfArwBuBvBHrh4oQDCEAANvtABADwjXJV2FBtfgUrADo40Xr5sPa6tWrcKuXfnF1ExBOrqklCBQunRpHHbYYY5IpiICCScw7SlgyoDAMI3OBi60EsQ532lr42W8okb2ztcPMMYoVFEE/E3At9/Tf/4AXmsL7NkaWICDmwFXTwaKlyr0BYkkNPQ7uR/Or5e4YMaxXrTsXazE8CYAnt08OxhCYD6A8BACzQDwrTHTZP2bq/f9AK6OeUQA6So0EDQ9GqoGIX8TD7wUa2O08QpdM8UGejVs3brVOUahIgJeJsDjEuXLl3e8GSQyeHmlUmxuH18HLGDGZACn9AFOs5aaOiIobbyM7x8je+fbBxhjDKooAv4n4MvvacZOYOhp2RmJeLTu2mlAlTqeWJDPl3+Ou6bflTWXjod3xFNtnir0uAzhcHxo744HcEsw6wO9B/gWom+EBTetF+u9si/WBmH1KTTE9YYu3YSGgwC8wCRjYcDeAnBVECZ9XJ8Kqj0zXSyIH5sabbwiXRgDRPJHRQS8SKBIkSKeMo5eZKQ5JYjAGx2A1XMDnZ/9InAswwMlrvhw45U4GAX3bGTvfPkAU1hENa4IFBIBX35Px90C/MDHj2C58B2gUZdCIphz2LXb1qLb+G6gV0OofNntS1QvV90T8wtNwof27lYANwbTR54LgNkQIwkNpvViXQ9mknBTpsXTOJ2EBnoxcMdHFYnuIsxAwQVncIyQ0MA6fwN4GcBt8QD1cRujjZePr09TFwEREIHkEnj6SGD7hsCYPT8Fap+S0PF9uPFKKI8COjeyd758gCksomk47iOPPIJ+/fph2LBh6NmzZxoS8MYl++57unA0MKZXNrwTrwfOHOgJmBl7M9BzUk8s3LAwx3xmXTwLFUpW8MQcfSw08FhCyKtgBYB38hEaTOt5aj3ym0w6CQ2MrtIHwKMAQv6rXPBwoYGc5gXPqBzjixW0N0mjjZe94dSTCIiACKQwgV1bgIG1si/w9l+BCqH4w4m5bgkNxlyN7J3vHmCMLz+1Kk6dOhXt2rVDjx49MHw4t3TJKRIaksM52ii++p5uWAK81g7ICMaer3kccOXnQPGS0S4zKZ8//d3TePuXt/OMJaHBOv6ChIbwwUzrWZ+grQ7TSWhguo4MAA3D4EUSGkYH84emW1h6o42XrRtP/YiACIhAShNgTvQhrQOXWLwMcP9fQIKz80hoML6jjOydrx5gjC899SoWltDwzz//gD8HH3ywUn0X4m3lm+/pnu3A66cCGxj0H0DpSsC104HKhxciveyhv171NW6dQq/9vCUNhAbG7TsdQPPgT80ghWjPyUwHeR+AiwAcBmAjgM8BPAhgTQELayogmNbzxD0UaRLRAHp24nFMjCkSPgFwYRSh4X0A5/BPQBxj+LmJ0cbLzxeouYuACIhA0ggs+hj4IOhOXa0xcMPshA8tocEYsZG9880DjPFlp2bFwhIaUpOm/67KN9/TsTcA80dmA754FNDgTE8A/3Prn+g+oTu2BjNg1KlQB8u3LM+aWxoIDWODz36516Og52Q+J04JpoJcC4D5q2sHhQqemWSKyGX5LLCpgGBazxP3UboLDesBLAYQfMXk4Ijk0fA9AEY8CfN59ez62ZyY0cbL5oDqSwREQARSlsCMQcBXPKlHP7rOwEVhG8wEXbSEBmOwRvbONw8wxpftvuKKFStQp04dtGnTBuPGjcODDz6IMWPGYMOGDc7ve/fujVtvvRVFI3jvrF69Gv3798fnn3+OdevWOV4Ap5xyCu677z6ccMIJeSb3888/Y+DAgfjmm2/w119/OZmDatasibZt2+Kee+5xPAkYG+Gtt8KC6oX18vDDD4PHG0KF4z/55JOYOHEi1qxZg7Jly+Lkk0/G/fff7/wbXsLFC86hb9++WfN+5plncNtttzl95xejgVm52G7s2LHguByrefPmuP3229GhQ4c818qgxYcffjh+++03p927776L5cuX48wzz3T6KKiQx7Rp05z6c+fOBee3aNEiVK5cGZdeeqnDnJmXli5d6lzHV199hW3btuHEE0/ECy+8gCZNmkTsnuv04osv4ttvv8WWLVsc9ueeey4eeOABJ4NTeFm7di1GjBiBTz/9FH/88YdzP1SpUsXhmt/61q5dGytXrnSCiQ8dOhT/93//h99//925L8455xxnrSpVqhT1pvXF9/THkcAnN2Rfy8k3Ax36R722ZFTYs3cPrph4BRb9u8gZrkzxMhjWcRie+e6ZrOFfPvVllC1RNhnTMR7Dsr27B0A5AN8Ff/iAzzyjBQkNXMAHAPAtAr/U24KTvx0Aj+szeGLbfC7IVEAwrWfMLdkV08mj4VMA7QE0BhCS6XILDU2DMRo+DLrBJHs9CnM8o41XYU5QY4uACIiAbwiMvRGYz1hPTGaVnE2l5Y2Xb1DHMVEje+eLB5g4Lt5Nk5DQ0KJFC2RkZDgPr+3bt3fSXPMBdufOnRFjJfz0009OPR41aNCgAY455hisWrXKERGKFy/uPFhfcMEFWVObN2+eI0Ls2rXLeRBu2LAhduzYgWXLluGXX37BlClTHMGBD6gffvghJk2ahLp16zptQoUPxfxhmT17Njp16oRNmzY54/O7wodh/p4PuiNHjsSFF2Y7vIaEhrPOOgsLFy5EZmZm1ny6dOniCCr5CQ0UMVq3bu3M9bDDDsNJJ53kjEUxgKnBn332WfTpw5Bh2YVCQ61atXD00Udj+vTpjpBTrlw554H+1VdfLXDJQkIDxY+XXnrJ4UJRZsaMGQ7vK664whEY+NBftWpVNG3a1GHINaEYwP+uXj1nRoF7773XedCnQEERiKLOggULHCGAnGfNmpWjzeDBg3H99dc7bCk4VahQwan7448/okSJEpgwYUIegSUkNNx1112O4MF585rZ9/r169GqVSuHGdkUVDz/Pf37F+D19kDmzsBl1DoxEBy4WAk3X0VrbZ+Y+wTeXfxuVn8DWw1EpyM6Wes/UR0l2N7RC74goYFBNfgCuyKAYwH8mOs6FwCggsdUlYz9l7uYCgim9RKF2XW/6SQ0dATwGQCGUr0YAA9JhQsNRwIYA+AoAEwBovSWrm8vdSACIiACaUrgzTOBVd8ELr7zc8DxoeRGieOR4I1X4iae/J4lNMTJPCQ0sDkFAIoLfHhloejAB2x6H3z88cdZD/l8kOfDLR9s7777bueNfejh8aOPPkL37t2dN/58m88HWhYGdnz77bedt/N33HFHjtkuXrzYeesdqhvt6ATfxlOo4MMrvR/4lj9Uvv/+e+cBmKIJhYGDDmIWdCDUJ//7vPPOc4SQ0qVznqjNT2igEMEH60suucTJSMGHdZaZM2fijDPOwO7du8FxmzVrljWPEI8jjzzSGZveA6YlJDQccMABjgBz/PF8toHjNcIxeN28fnoJPP744w57rgkZ0wvhoYcecjwzQuWDDz5w1oSiB9eRc2JhG17zo48+6ogyo0aNymrDtaUXC/8GhRcKQGeffbYjolB4CBcNQkJDjRo1nGumSMFCcYTiDD0jeH9RoCqoeFpo2L0NeL0d8M9vgUsoUwW4bgZQ8VDT5U1ovckrJuOOadnfrwvqX4CHTnoooWPa6jzB9i6a0NAOwNf8swcg8AXJWRijgS6N/GJlu1Vl1zEVEEzr2cJqvZ90EhoIj/lj7ubfSwC/A6jHv8X8uxb0dCgGYEAwiId12B7v0Gjj5fFr0PREQAREwBsEnmkAbKN5AXDFJ8AR+XlQ2ptugjde9iZa+D0Z2TvTB5jde3eDP6alfInyed7S8mz0fmdrEr2UKFrCcW8OL0xLt3Nv8I1pPl2UKlYK/HFTwoWGyZMn4/TTGT8tu4TebJ966qn48ssvnQ/48MuHRb7d58Mj33CHl65duzrHL+jiT7d8FnoS8IjD/PnzHZGioBJNaHj++ecdDwIKFhQucpfnnnvOOdIQ7mkQ6rNUqVKOgBLpwT+S0ECxgm/8+dDPYwH0GAgvnAPHueaaa/D6669nfRR6AOdDfrdu3WJaopDQQK+Fxx57LEdbXhev74gjjgAFmnD29NQgW3pP8HpDheIEvRcoHlBsCC8UG4499ljnMwoZIZGpoAlfdtlljscIx/vf//6XVTUkNJADeYSXQYMG4c4770Tu4y+RxjH9nsYE1Ubl/fuBMb2BnxhjPlgu+QCon/fojI3hYu1j9ZbVTlyGbRkBj/+GVRrinbPecf03ItZ5xFs/aO/4h5cP+5FKTtUrtoGiCQ23AXgOwAcAukfomi4hEwB8DOD8CJ+bCgim9WK7uiTWTjehgWjpm0dLlvtQGuM38C/0e0nk76WhjDZeXpqw5iICIiACniTA6OKPh6WyvO0noBIDUie2SGgw5mtk70wfYF6Z/wpeXVCwe3v4zCIFVjv53ZOxNWOr0QWcXfdsDDiF70Syy9g/xuLBWXyJln+5vun1uKFZ2Dlxo9FyVgoJDXyAZhyC3GXz5s3OufoyZco4cQD4lptvwPnAyAfHp59+Ok8bxiCg1wDf9jMuAAtjP1B4aNmypfMvj0TwiEWkEk1oCIkWdMnPHYuB/dG7gMcDLrroIrz3XmALGOqTb9Z5vCNSiSQ00AuDngIUCyga5C4UTnhshG/v+eAfKhQa+MOjJxQ3YikhoYFHLnjcILzwKMXNN9+Mq666Cm+88UaOz7g+PGJRv359LFmyxPmM3g88RlGvXj3HwyRSuemmm/Dyyy87a8U1CxV6avB3jOnAoyI8TsPC4xMUGei9cv752c9cIaGBggxFqPAyfvx4xxOCR1SGDBlSIA7T72ksTK3UnTccGB+WxeGUPsBpkV5uWxktpk4ojF7+2eX4dWMgA0a5EuUwuvNoHFYh8XYqpokWULmQhYZnAfD8E8UGxmTIXaiOzgfwAwBmtGChuxQ95lleATAdAN2CmOt0YlgHpvViRUkPDP6BfSpKwzup9QbDDcQ6Rp766Sg0hCBwIRkdtCiAP6OkIXEN2gcdGG28fHAdmqIIiIAIFC6BdT8Dg1sG5sA3yA+sS3hqSw4locF42Y3snekDTDoKDXxY/uEH7qHzFgYh/O+//xwXeMYYuO6665yHRT703njjjXkahB6++facb8pZeNyBrv6hN+30EOBDP+MsMAAkj06ESjShoXHjxvj112BKwQJukdNOOw1ffPGFUyPUZ+4jAuHNIwkNPBbC4If5iSrkQj68nq1bs4Uligx8wKeXQKwlJDTQ84KeC+Fl+PDhuPLKKx3hhoJP7hIKQkkBiYUiAYNEmpR33nkn6xgK143CQKifSO05F4owoRISGhi3Infw0GhrGt6/6ffU5Jqs1Vn3EzD0NCCTL8aZ+PBkoMd4oFhksczauIYdPTb7MYz+LdvTYlCbQehQO9vTInNfJn5cnx124Jhqx6B4UW/MPXSJCbZ30TwaXgPQK+gF3zcCdh6noOc8f+oHP6dbI7NU5C4rg8+jod+b1jNc7axqkRIgROqDrlY860kvf9clnYUG1/BSrAOjjVeKXbMuRwREQATsE/hlHDD68kC/VRsAN31rf4wIPSZ445WUa0jSIEb2zvQBRkJDzlWLVWigmz7d9cOFBvZIN316IfDtNh88GSCSD6V8IGegQ751Z4n2UMr4BHxjTy8DBhvMr7AegyCa9Mk68QgNIY+PSEIDs04U9KCe37zDs07w4T28hISG/I4g5BYa5syZ4wg6jJsQ7q0QaWwed6CnCdeJYg49NCgq8YeCB6+R/TOrxxNPPOHEq6BIFCrhWSdy9x9tTcPrm35Pk/S3Bdi1BXitLbAx6NFftmogLkOFMC+3pE0m70CfLfsM98xgkoVAubjhxbj/xPtzVNyyZwtavhcUywGkQXrL3KASITQU4qo7Q5sKDSOCx0Fic63K5+rSSWigy0gmAEY5mVPAavPbR1+wgqPPFPbtYn98o42X/WHVowiIgAikGIGZzwNfPhy4qPpnApdkB01L5JVKaDCma2TvTB9g0jFGAz0V6LGQu9ATgd4GPDrBN/bFihXLOjrB7AJPPZXXa/eTTz5xAkeGH52ItJJ062dmBR5vYIaK0aMDb2SjPZTSU4FBBXlE4rjjQl7MBd8r0fpk64KOToTPL3ykkKgS6eiEF4SGP//8Myv7Rci7JNq3it4iFBoYhPK775gdMGfhkZT3338/PYQGxmX48CpgEWPLsxQBLvsIOPLUaBiT8vnyzctx0YSLsCNzhzPeUQcehbfPfBsliwUCloaKhAZEExriOTqRlDUuYBAToaFCMIMGvRlyqpZxzj6dhAYCZmHgkOsARE68DAxj6C5bLiNxrkthNDPaeBXGxDSmCIiACPiKwLhbgB+CJqbFjUDHx5MyfQkNxpiN7J2p0GA8agpUDA8GyWCPDPoYXl577TVce+21TvBHPtyzhIJB8g02g0FSfAgvfChnisrwYJD5oWLcAD6kN2rUyEnLyMIYCozlwGwSdOfPXZimkZ4KDDTJMUxKvEJDKBgkYx8wfSfjVYQXii0MSBkpGKQXhAbOlWzJmQIC4zdEKyH+FIuYpSK8MJ0os1Zs3LgxPYSGb18HPuMR92BpfRfQPpJnfTSq9j/flbkLl3x2CX7fRG9+gEFpR3cZjUPL582AIaEhqtDgNhik/QWO3OOysF9TOGDkz7wKcaASz8Ywzy3/fQlAWICR+KebbkID85rWAlA5GMDjrmAGinCCEhriv5/UUgREQAREYHhnYMWMAIezngEhDDmTAAAgAElEQVSa8yhn4ouEBmPGEhqMUeWsGC408LgDxQZ6N7AsX77cCUa4Zs2aHIH/wtNb0o2eD/uhLAt8MOWRhtzpLZm9gh4OderUyTGBUAYJpqRk6kSW0Jzye6POuAgUJ/jQyzgRfMgPjwmQmZnpiCLMLBHKshCv0MD5dO7cGZ9++imuuOIKDB06NCvTw+zZs50sHbt27YqY3tIrQgNTeVK0IQumvwxPw8nrYxBQZgnp1Svwd42eJkw1yqMS9BoJHWnhdTImQ8jzJOWPTvz1I/BGB2BvIAgmarcKZBwqauWoe5zf2OxmD3/zMMb8HvK0AJ5v+zxOPTyyp4WEhqhCg9v0lq7X07CD0Et2Vmdao4Ke+zMA/AVgHID7AATcXlyWdBMahgOgnD2emVwA0EpdxLhDYRwlNLi8qdRcBERABNKawLNHAVsYYxjAZWOS5jYrocH4rpPQYIwqZ8XQQ32LFi2crAJ8g0/vhYyMDOdhfceOHWA6Qz6ghhe64bdr1855SOUbcz688o0/YzAwmwTTH3bvnp0lLpRikS75rM86jAHAowelS5d2BA56MYQK0zQyswGzR/B7QK8JBifkDwtjD3Tp0sU57lGrVi3nIZqxJBh8kUEtKUZQ9OBbeRY3QgOFFgouFF4oHjDmAbMwsE/GmGDqRqadDC+5YyXEsjw2YzSExqX3x+OPP+4IMlwLpuykYMSAk+RMUYHMQoXZIZimkkdmeD/wX8bR4PVSeGGsiJQWGnZtBoa0BjYFgmqiXDXguplAeb4gLvwyful43D8zOw7DZY0uwz3Ns+M05J6hhIaoQgPPmqwHwKi0xwQzTIRj5IttZjc8HsC8wr8DnBmYHJ2wPtV0FBoYSbN8MI0l03cwvxAt0R9BuhIarN9m6lAEREAE0oRAxk5gQI3si71lPlAl51vZRJGQ0GBMVkKDMaqcFUNCQ5s2bcDYCvRQYHpKPsDT+4BvuRlHIffxCPZCYYHeDEyByAd8xnJgMEFmaWjevHmOgRgAkv3OnTvX8ZCgqHHooYeidevWTkYHeiiEFx7J4LEEPtzSc4HHXnIHQOSYzz33nONtQBGAhW/iKTowvWbXrl2dB2gWN0ID21NQYQBEXsPq1asdjw1e4x133AF6Y+QuXhMaOD+my6QHCMUgCiUVKlRwvD64Bjzuwn9DhYLCCy+84KTQpPjEtWVsjAEDBjgCQ79+/VJXaGBchv9n7zygpCqyP/wx5CxBEJCgiIpiRtaEoIIiyUiQJCAgRtQ1YNy/YTHrmhFBRJasGABBRBHBgKBiwIQYCIJEkcwww//cfjUz7eyE6u7X3S/cOoejM1N169ZXPVP1fq/qXgn++528w5R3xhnQ+3U4OCeTYZy/bC41W/7nci6ZcQk79+6MWDy65tG81O4lSpcsXWgPKjQUKzQIO3lxfbvc3gLkl1rSVEoRFfFRYB4gGSTSVSQmoaTYlBMKUiTli9ybKThfb5K8DKvQEPlTADwIyGWqTUA3QC4UqtCQpA+bmlUCSkAJBJ7Auu/hWZMeTtKB3f5HylKaqdBg/elSocEa1d8rRgsNOakn4zSlzZSAKwTSHkvlk+EwK+p0QOvboHXhpwVcGbSlkR2ZO+gxowfLtzgZMKqUqcKUTlOoW6noDBghFBo6AHdGYRXlU54TF0Z9715gRtTX5USTBGTBXwPIfcmG5uv1wElAdIwEy1lzrVr+EwxZgJzsv8y1HiwMhVloyMEjOcgkH6pcohLRQY7AaDBIiw+PVlECSkAJKIF8BL5/CyZe4nyzemO49vOUIVKhwRq1Cg3WqFRoiBOVNksRgbQKDas+gxfPgWy53g4cfIaTZcIDcRnkqssdH97Bm8tzXmjD02c+Tav6xZ+0CKHQIHlX5UVzUaWfeVCPrlPexDPoYWIAyovrWUa0MPcnU/SL8L/dyIdyklzgND/SqxNJnoqiAIsa9TpQy0TklLNz3ojekmQoUeatNl6pc0d7UgJKQAn4kMBHT8NsOU0JHNIWer2SskGo0GCN2mq9S+sDjPVQUltRTzSklrf2VjyBtP2e7tzsxGX4c4XjZOU6cPl8qLR/8U6noMZry17jro/k9LxT+jXrxw0n/D02SGFuhFBoSMGMpLwL+WDKfZljzX9VaEjyFBQHWPK7iNhwvInMqUJDkidEzSsBJaAEAkdg+g2weJQzrBaXQ/uHUjZEFRqsUavQYI3q7xVVaIgTnDZLGoG0CA0Sl2FiD/jhLWdcEpfh0unQKC9AadIGbGH4x80/Rq5M7M7aHal9XK3jGHXOKEpnFB6XIdqsCg0WkL1f5UngapM9QgJXFpfeMnpEkqGisRtDDNPVCbk3I/lDNxYBTu7bXGxOM5gk6G5g9oUNq42XL0aiTioBJaAE0kXg5fPgZ7m2CbR7EE4anDJPVGiwRm213qXlAcZ6CFpRCSgBIZCW39OPnoLZd+RNwFl3Qct/emJCtmdup/v07vz6l5MBo1rZakzuNJkDKkYFKS7GUxUaPDGViTpRAXgAOA+Ql+lSYnnuz0jUgVg7dKM/teFdAlYbL++6r54pASWgBDxA4PGjYIs5SttjChz6vxHmk+WlCg3WZK3Wu7Q8wFgPQSsqASWQFqFh5acw+lzI3utMgFyR6zEZMlx5LktoUiUuwy3zb2HmLzNz7TzX5jlOq3daTHYzszP5YNUHuW1OP/B069MQMXWUQGVd72KGV9zJ/pgN2jSIRdmwsad1/EvAauPl3+Gp50pACSiBJBOIpLasY27fAdd8DjVcOX1o5bhuvKwwSSWr9U6FBmueWlEJpI1ASn9Pd2yC4S3hLxPnr0o9Jy5DxRppG390x5N/mMy9n0hyBKcMPGog1x5/rSd8c9sJXe9iJjoXEAUqdfc5YzxCEfOI0tzgPbPbk7yh8hdBvrYtcjflLNvKAalntfEKyFh1GEpACSgB9wn88S08d7JjV+7C3r42ZaktpUvdeFlPqdV6l9IHGGvXtaISUALRBFL2e5qdDRO6wbLZ5m98Kej7FjQw6YzTPC3fbfyOXm/1Yk/2nognzWs354WzX6CUpFkOYNH1zh+TGuQTDXJERASDpsCPco0rhimRdhoMMgZgWlUJKAElEHoC374JkyVjMlDzULh6UUqR6MbLGreV0CDHkL///vuI0SZNmlCqVDA37NbUtKIS8CCBvXv3smzZsohnhx9+OCVKJOnRZsHjMOf/8gi0vRdO9cZpgW17ttFtejdWbHWu7VUvV51XOr3C/hW8kQEjGR8bXe/ipioLWQcJVy07FWAh8KKxVtd871vA3A2Ku59IwyT9NibmlEutJfijlNUGVs7XtuZ/s60YkHpWG6+AjFWHoQSUgBJwn8D8x+Ddux27h7WHSya430cRFnXjZY3ber1bvnw5e/bsoW7dulStWtW6A62oBJRAaghs2bKF33//nTJlytC4cZKuqv32EbzUEfZlOYM69Fzn73uyRI0Y0IkgeuO8G5n9m3PSogQlGHH2CE6qc1IMVvxXVde7uOZMgnX8F6hvNAB5sS7JD/obaxcBk4EuwNS4esjXKMhCgxt8wmTDeuMVJig6ViWgBJSANYHXr4IlsoYDp1wDZ99n3dSNirrxsqZovd6tW7eOjRs3UrJkSWrXrk3FihXJ8EDQN+uRakUlEFACcmVi+/bt/PHHH2RlZVGjRg1q1arl/mi3rYfnW8LWNY7tqg1g8AdQvpr7fcVhccL3Exi2cFhuyyuPuZIrjr0iDkt5TXZk7mDo/KG533ig5QNUKC1JDLxTdL2LeS6OAD4FJMfpc8ACIyq8FCU0lDHZGd8EesbcQwENVGhwg2IwbFhvvIIxXB2FElACSsBlAqPOgZWfOEY7PQEn9HW5g6LN6cbLGrf1eicPMCtWrGDXrl3WxrWiElACqSVQrlw5GjRoEBEEXS0Sl2HcRbDchHmT2Dv934YDT3C1m3iNLd2wlF4ze7HXZMCQUwzD2wynZEZiHDS9Zbwz4ul2csRSTiq0B0ygkUhYgWihQQYwD5A7NyJMJFxUaEgYYWAMWG+8AjNiHYgSUAJKwE0CDzWGHRsci31nQKPYUool6ooKDdYEY1rvRGyQUw1bt26NXKPQogSUgDcIyHWJypUrR04zuC4yRB65Hoa5USfT2j0AJyV2WsAtciIGdJ3WldXb5IY41CxfkymdpkT+m2hRoSFRgp5svxb4Wc5bRnlXkNAw3ogR+7kxiiALDQIz3iJ3VpJ00Stel5LeLqaNV9K90Q6UgBJQAn4isHMzPNgoz+N//gCVD0jpCFRosMYd93on96HlnxYloATSS0CCPiYt8KMM7ZcP4OXzYJ+JJd+0M3R92TNxGa6bex3vrXROWmSUyGDk2SM58YATXZkUFRpcweg1I3Is7w2gWzFCg9RpA1R0YwBBFhpiyTJREMsMNwD7yEbcGy8fjVFdVQJKQAkkh8CqxTDSZEUuUwluXZXyDakKDdZTq+udNSqtqARCSGDrHzD8NNi+zhl8tUZw+QdQzhsBYV9e+jIPL344d2KuOe4aBh09yLWJUqHBNZReMiQpSdYD0fd+CjrRkJOp8XA3nA+y0OAGnzDZ0I1XmGZbx6oElIC7BL6cCK9d7tiscyxcLtccU1tUaLDmreudNSqtqARCRiA7yznJ8Ot8Z+Aly8Bl70DdYz0B4sv1X9J3Zl/27nOyD55a91SebfNs5FSDW0WFBrdIesqOxGKQ/NtyWmGu8Sy/0HAB8CrwDHCNG96r0OAGxWDY0I1XMOZRR6EElEA6CLx3H3xg3jA1uxguHpVyL1RosEau6501Kq2oBEJGYO4wmPdg3qDbPwItBnoCwpbdW+gyrQtrtjsZMGpVqBWJy1C9XHVX/VOhwVWcXjEmJxS+ACTQkKQUeQ343QSD/CcgIsMjJivF0XJ5yA3HVWhwg2IwbOjGKxjzqKNQAkogHQSm9IWlsm4DrYbCGbem3AsVGqyR63pnjUorKoEQEZDsEmMvBEwcliMvhItfTPk1uIKIZ+/L5tr3rmXeKue0XMkSJRndbjTH1TrO9QlSocF1pF4xeD4wFigsV6nEcbgEkPSWrpQwCw0STbMyUBgDucsSpqIbrzDNto5VCSgBdwnIfd61Xzs2LxwJR0sWqdQWFRqseet6Z41KKyqBkBD4a40TlyEnc1D1xjDofShXxRMARn8zmsc+eyzXl+tPuJ7+zfonxTcVGpKC1StGGwLXA20BiWAtd25WAe8AjwLL3XQ0bEKDhACXPDWdgRpFgBQps5SboH1gSzdePpgkdVEJKAEPEpAsBMPqQuYOx7mBc6He8Sl3VIUGa+S63lmj0opKIAQEsvbCmE6w4iNnsKXKwYA5cMBRnhj8F+u+oN+sfmTty4r40+rAVjx55pOuxmWIHqgKDZ6Y9kA4ESahoQ6wCKgLSNLZ0nK9CfgYOBiobc5KydeZwBmBmGH7QejGy56V1lQCSkAJ5BH463d4rGne10NXpCU6uQoN1h9KXe+sUWlFJRACAnPuhgV5pwXo9ASc0NcTA9+0a1MkLsO6HU4GjDoV60TiMlQtm7wMGCo0eGLqA+FEmIQGiaB5BXCXOdUwGugj15zMTJ4OPAdsMsdJ5J5KmIpuvMI02zpWJaAE3CPw8zx4WQ7KSebpWnDTMvdsx2BJhQZrWLreWaPSikog4ASWvQPjLs4b5FFd4cIRnonLcOWcK/nw9w8j/pUqUYqXzn2JY/Y/JqmTsm3PNi5686LcPl7t/CqVJG2zh4qudx6ajCJcCZPQkHPnpLHhkV9okG/XA34AngBu98cUuualbrxcQ6mGlIASCBWBRaNgxg3OkBueCv3eSsvwdeNljV3XO2tUWlEJBJjAllVOXIadm51B1mjixGUo642H6he+eoEnv3gydwJuan4TfY6Ud6RadL0r9jPwc7E1Cq8gIQRynpcTMFN4IMSEjHq0sZxQmAHkSHQjgX4m8ubuKJ+nAZICpIlHx5Est3TjlSyyalcJKIFgE5h1G3wih+aA4/tA56fSMl7deFlj1/XOGpVWVAIBJZCVCaPbw6pPnQGWKg8D34PaR3hiwIvWLmLA7AFItgkpZ9Y/k/+c8R9KlAjTO+LCp0LXu2I/ps4HJ/4iQSITLmH6tMrlpvlRQoPkCpWomyIoRKs+U4AORaT+SBi6Rw3oxsujE6NuKQEl4HEC47rCsrcdJ9veA6cOSYvDuvGyxq7rnTUqragEAkpg9h3wUZQofN4zcFwvTwx2w84NkbgM8l8p9SrVY1LHSUmNy+CJgcfghK53McBKY9UwCQ2LTbDHEw1vifIyCpAd4dPme5JX9Cdgp1tHRtI4t7F2rRuvWIlpfSWgBJSAEHjyeNhkbud1Hw+Hi1ad+qIbL2vmut5Zo9KKSiCABH6YCRO65w3smB5wgYRpS3/Jys7i8jmXs3DNwogzpTJKMfbcsTSr2Sz9znnIA13vPDQZRbgSJqHhISMqHAisB6oDv5rsExKTQTJRiJTZ3ASFvNofU+ial7rxcg2lGlICSiA0BOT47X21waQd46pPYf/D0jJ83XhZY9f1zhqVVlQCASPw5woY3hJ2/ekMbP/DnSsTZSp6YqDPLXmOZ798NteXW1vcSo+mPVLqm1zXWLN9TW6fkukio4QrJ+ldG4eud66hTKqhMAkNEqJ1KDAcmGeoXgJIUMgy5rSD8FgKnAZsSSp57xnXjZf35kQ9UgJKwOsENiyDp0WfBmQjdvtaKFU2LV7rxssau6531qi0ohIIEIG9e2B0O1j9mTOo0hWc4I9pEofzk/1kzScMmj2IfUgsPji74dk80uqRlMdl0PSWAfrMp3koYRIaCkPdAGgPVAN+BN4EMtM8L+noXjde6aCufSoBJeBvAt+/BRNFs5ZVpBEM+TJt41GhwRq9rnfWqLSiEggQgZlDYWHUFYkLRsAx3TwxwPU71nPxtIvZtGtTxJ8GlRswseNEKpepnHL/VGhIOfLAdqhCQ2CnNuaB6cYrZmTaQAkogdATWPAfmPMvB0OTc6Dn5LQhUaHBGr2ud9aotKISCAiBb9+Eyb3zBpPGDEH5ie7N3svA2QNZ/IeEk4MyGWUY12Ech1eXJHipLyo0pJ55UHtUoSGoMxv7uHTjFTszbaEElEDYCbx+JSwZ51A4+Wo4599pI6JCgzV6Xe+sUWlFJRAAApt+gedbwW5zK7p2MxgwB0qX98Tgnvz8SV74+oVcX+486U66HtY1bb6p0JA29IHrOIxCQyPgdKAOUNhFWrkcdW/gZrvoAenGK2QTrsNVAkrABQIj28CqRY6hzk+BvCVLU1GhwRq8rnfWqLSiEvA5gb27YdTZsGaJM5AylWDQPKh5iCcGtmD1Aq6Yc0WuL+cedC4Ptnww5XEZomGo0OCJj0YgnAiT0FAOELkwJ3RrUWMXoaFkIGbYfhC68bJnpTWVgBJQArBvHzzYEHaZt2T934YGJ6WNjAoN1uh1vbNGpRWVgM8JzLgRFuWdFuDiF6HZRZ4Y1Nrta+k6rSubd2+O+NOoSqNIXIaKpdObAUOFBk98PALhRJiEBklheQ2wDpBzrj8D24qYxTGBmGH7QejGy56V1lQCSkAJwNY/4NFD80jc/AtUkMzJ6SkqNFhz1/XOGpVWVAI+JvDNVHilX94Aml8GHR/zxIAyszO57O3L+GLdFxF/ypYsy7j24zisenrSI0dDUaHBEx8Rt52QYFKjgFVuGy7KXpiEhrWAJIE9GpD/1/J3Arrx0k+EElACSiAWAr/MhzEdnRYVasLNy2Np7XpdFRqskep6Z41KKyoBnxLYuNyJy7BnqzOAOsdA/9lQWg44p7889tljjP5mdK4jd59yNxc2uTD9jgEqNHhiGtx2IhvIAmaZE/7TAfleUkuYhAY5vSBwL04qUf8a142Xf+dOPVcCSiAdBBaNghk3OD03OAX6z0yHF7l9qtBgjV/XO2tUWlEJ+JBA5k4Y2Rb++NpxvmwVuHweVD/YE4OZt3IeV793da4vnRt35r5T70trXIZoMCo0eOJj4rYTtwGXAQcBEiJAXrq/aE45/Op2Zzn2wiQ0fCIiHXB2smD63K5uvHw+geq+ElACKSYw8xZYONzp9IS+0Elu6KWvqNBgzV7XO2tUWlEJ+JDAtCHw2Ut5jnd9GY44zxMDWbNtDV2md2GLyYDRuGpjxncYT4XSFTzhnzihQoNnpiIZjrQBBgDnS2hUc6phjjnl8Aaw181OwyQ0dDGxGf4BOBeitEQT0I2Xfh6UgBJQArEQGHsBLH/PaXHOMDj5qlhau15XhQZrpLreWaPSikrAZwS+mgxTB+Y5/Y/BcO6DnhhEZlYmfd/uy1frv4r4U75UeSZ0mEDj/Rp7wr8cJ1Ro8NR0JMuZGsCl5pRDU3PKYT0gCp3EcljmRsdhEhqE1/XA7cDTwDvA6iLup6xwA7CPbOjGy0eTpa4qASXgAQKPN4MtKx1Her4CTdqm1SkVGqzx63pnjUorKgEfEVj/I4xoDZnbHafrHg+SDaiUvLhNf3lo0UOM/XZsriPDThtGp8ad0u9YPg/2ZO1h0g+Tcr/b7bBulCnpDYY5Tul65+rH5hTgSpOZUa5VSHnfPC+/lkhPYRMazgKeA4qTDgVyqQTASl4aOaMlUcIk+GRDE4jyJ+BVQELeFpXxoqCuqwH/Z466HGDu1sjky/f+TMDXnKa68XIBoppQAkogJAR2b4P76+UNdshXUE3+1Kev6MbLmr2ud9aotKIS8AmBPTtg5Fmw7lvH4XJV4fL5af+7nEPv3RXvct3c63JhSuBHCQCpJT4Cut7Fx62AVvJMLFcp+gK1zckGyUxR3/z/Z4DkgzVvVWLrN0xCgzz0TzUCwgbgt2Ie9s+IDeXfasuE5STt/Q74BqgCiGJUGfgeaGVSbdp0UxP4GDjEpOVcDBxp/v0InAxssjFURB3deCUIUJsrASUQIgK/L4ER8mdcVpVycNsayJDERukruvGyZq/rnTUqragEfELg9atgyX/znO0+Hg7v4AnnV25dSbdp3dia6WTAaFKtCePbj6ecrB1a4iKg611c2HIalTbigdwxag2IHrARGAM8b65NyLOl3AJoD0wzL9Bj7jRMQoMoMnK6QESAl41KEzMwywZy50VEhf8AIjTklDrADOA4YII5omJjUv5y9jRCSbeoQB1PAteYD4YoUYkU3XglQk/bKgElEC4CX02BqbKcyDuAo+CKBWkfv268rKdA1ztrVFpRCfiAwJLx8PoVeY6efDWc829POC7XEPrM7MPSjUsj/lQoVYGJHSdyUFUJ/q8lXgK63sVFTmIxiLjQG6huBIaPAIlqPQXYXYBVSaZwOLBfPD2GSWjYYU4FyPWJdBZRiGRSZTLllMOeYpwRcUKOsEgU0AbAH1H1y5qjLPJhqRvDCYmCutSNVzo/Fdq3ElAC/iLw3n3wwcOOz80ugoslS1R6i268rPnremeNSisqAY8TWPcdjDgD9u50HD2wBfR7C0rKS9v0l2ELhzHhe3m36JQHWz5I+4PlJbGWRAjoehczPXkbIs+g8uwvWRjlJbYIDHLqvqgigSHlZXbJmHs0ncXTzo9tJLijXD+QEwHpLJK/xkSpiYgDa4pxpp/Jc/ouIClJ8hf5APQHpF5ULp+Yh6gbr5iRaQMloARCS2ByH/hWMkHJwcNbofXQtKPQjZf1FOh6Z41KKyoBDxOQWDkvnAkbfnCcLF8dBs+Hqgd6wum3f32bG+fdmOtLl0O7cNfJd3nCt6Kc2LV3F098npeuecjxQzx3zUPXu5g/RtnA50ZcGA/IC3ibIuLEoeb0vE39v9UJ04kGCcB4CSBnlXbFTMq9Bs2Ar4FME6+hoGMq0b3J9YshgLw6u7kANySfmmTReBy4IQE3deOVADxtqgSUQMgIPHtyXtCxi0dDswvTDkA3XtZToOudNSqtqAQ8SmDfPnjtcvgqLzuCF7L/5NBa8dcKuk7vynaTAaNp9aaMbT+WsiXlMLK3i6a39Pb8xOndCYCEEUhpCZPQICcJ5FSARGKRi1zLU0o6rzMJEikXeyWwRmcLHySA5QVGbJCYDPmLZLd43cRvkKig8RbdeMVLTtspASUQLgJZe2FYHcgyN98GfwgHiIac3qJCgzV/Xe+sUWlFJeBRAp+NgWnX5jl32vXQRhKxpb/sztpNr7d68f0mif0OlUpXYlLHSTSoIjegvV9UaPD+HPnFwzAJDe8BkgRWjoDI8ZFfgdXm//PPl6S3TEYsB7mUNd3EWzgR+NLigzIbkOTsErxjZAH15TrFO+bf2Rb2nGg0/1saH3HEEWWXLi3sxxaWtYoSUAJKIAwENi6Hp443Iy0Bt6+B0uXTPnIVGqynQIUGa1RaUQl4kMDar2FkG9hrDig3OAUunQYlE8lM79447/n4Hqb8KLH1nPJY68do21C28v4oKjT4Y57i9FJi/8l1+5Ymvp+Y+R2Yb67gy/+7VsIkNIi4YFtEaIgr6EURHUjETgkCWQ2QRLp5l5+K9kqFBttZ03pKQAkogVQQ+GEWTDDhfqo1giE2mnHyHVOhwZqxCg3WqLSiEvAYgd1b4flWsMkcTK5Q04nLUEXCnqW/zPh5BkPn58Xs6dm0J0NbpD+GTyxkVGiIhZav6kpWRLluL6f882sA8uwrEVUlm+Fot0YVJqGhYYzQfouxflHV6wEfAuKDxIr4Zwy29epEDLC0qhJQAkog6QQ+fALeMQG9mpwNPfPeXCW97yI6UKHBmr4KDdaotKIS8BABicvwSn9YKltjKSWg91RofKYnnPx5y890n96dnSYDRrMazRhz7hjKlJQD1f4pKjT4Z65i8PRcc6peXry/AkgqFDndL0WeTyWOYRcgA+gIzIzBdqFVwyQ0uMErHhuSelKOoxxhFKLLAFGNbIsGg7QlpfWUgBJQAqkg8MZV8IVkhpLLeN7J165Cg/Xkq9BgjUorKgEPEVg0EmZEvas7/WY483ZPOCjiQo8ZPfjpz58i/lQuU5kpnaZQr5K8ayPxsp8AACAASURBVPRXUaEhafN1pXnZLB8KSZUiH165Up+KIuktTzLxAd8qpMMcMUJO4MvVioRLmISGTSbbQ6uEqdkbqGQCULYwwRq7Aln2zSM1Nb1ljMC0uhJQAkogqQReOAtWL3a66PwUHN8nqd3ZGlehwZYUKjRYo9KKSsAjBH5fAqPa5gXhbdQS+rwBGW7fdI5vvHd9eBev/fRabuMnzniCMxt446RFrCNSoSFWYlb1e5kUkf8G5KFfThDI9+SB/hMrC4lV2gYsAs4oxsxcQOIIyjNswiVMQsNfJtNDz4Sp2RmQ/DWiGMlfmbeNgmRClNsZMLUkaMcqE0CyPrAuqrX0sRKQUxNyOS36ZzF1ArrxihWY1lcCSiCEBOTo7v31YY8kMAIumwP1ZU1Of1GhwXoOVGiwRqUVlYAHCOza4sRl2PyL40zFWjB4AVSu7QHn4I2f3uCOD+/I9aXPEX246cSbPOFbPE6o0BAPtWLb/AjMM8H9cyp/CmwAJFlAsov0I8+jxT0HjwckuUBNNxwKk9DwMbAbaO0GuGJsiLwql3YlLaVcm2gH7CimzdWA/BM59NZ8deWMrnwwXgW6G9FBqkhAScntMwbom+C4dOOVIEBtrgSUQAgIbFkFjx+ZN9ChK6BcVU8MXIUG62nQ9c4alVZUAmkmIOLu5D7w3ZuOIyUyoPfrcHAqDygXzuCnzT9xyYxL2JXlZMA4ev+jeandS5TOKJ1mcPF3r0JD/OwKaSnBF+VEgTzDTY6qcz9wA1DFPKO63nGUQXmGPAY4tJCMi1JVnl9FEJEI1xe64UyYhIYewMtGaJAjK8ksQwCJrSBFhAM5TVFQudEoWfIzSf77r0JEA1GV5FhNY0DC7MqZXdnpSuL2ZebOjVwNSaToxisRetpWCSiBcBBYNgfGXeSMtUo9uOFbz4xbhQbrqdD1zhqVVlQCaSaw8HmYeXOeE2fcDq2ivk6jezsyd0REBgkCKaVq2apM6TiFOpXkMLJ/SwiFhhMAyT8qV93lX05gjeKekyWvtbwcFgGhASDPYrOAO4HVUZ8AOXm+0byAfj3q+znPfk2B75P8iRGBYaF5Lr0e2JKvPxE7Hjc+nmxiSCTsUnEAE+7AQwbkA3Ab0BsYaa5RrABMEt7/8VR+Fm/J+eAU1/6gqIifRQkNYkc+pFLnfEDOiv1hPiwiTvxZXEcWP9eNlwUkraIElEDICXz0FMw2R2Qbn+VEPPdIUaHBeiJ0vbNGpRWVQBoJrP4MRp0D2ZmOEwe3hl5TPRGXYd++fdy+4Ham/TwtF9AzZz3D6QeenkZg7nQdQqFBHv7PK4BeUc/J5QCJZyABFteYE+yNjFCx3nzfUaCcIiLEs0DeHRuYYa5NnApIAEY3i0mN9TeTh5i4EHL3czaQk2FRsk7IdQmJyzDOvMS+1w1nwiQ0SDoPyfYgYy4u64P8vJQbgH1kQzdePposdVUJKIE0EYjOOHHSVdBuWJoc+d9uVWiwngpd76xRaUUlkCYCOzfD8NNhi3nvV+kAJy5Dpf3T5NDfu526bCr/+kje9Tmlf7P+XH+CvCjWkgoCLq93t0jkDxMsUQImStpHiYNX1HPyfSZrhFzNl4d0uRohRa5CPGriMURf15drEpJ1Qq7Cf2hOQTxpnjflBIHbASGjn3tjnRJ5DnYlymqYhIb3LQSG6IkoLipnrJPm9fq68fL6DKl/SkAJpJ+ARzNOCBiXN17pZ508D3S9Sx5btawEEicgcRkm9oQf5IWvictw6XRoJC9+019+2PQDPd/qye4sCf0Gx9c6nlHnjKJURtjeUaZvLpK83slp96KEhjImAL8EaDoe+CIfCYlxcDTQHPjM/EyEDDktkHNyQq5WyAl7UauiT7i7BfXSBA1J/L+ES5iEhoRhBdyAbrwCPsE6PCWgBBIk8D8ZJ96B+nKd0xslyRsvbwzSHS90vXOHo1pRAskh8NHTMPv2PNtn3QUt/5mcvmK0uj1zO92nd+fXv+SlN1QrW40pnaZQu6I3MmDEOBzfVk/yelec0CAvo98zcfPkOkL+IjEa7gHuNtfeo38uATzkOrwEXZSA/hJwJLAfHhUafPsr5rrjuvFyHakaVAJKIFAEPJxxQjgneeMVpKnU9S5Is6ljCRaBlYtgdDvI3uuM65C20GMyZGSkfZwSl+GWD25h5q8zI76UoATD2wznlHqnpN23sDlg1js5UiJB8gsqUemhYqZTnNBwnQmcKBkGuxZgvQMw3cTSKyx7g5yYkNMOcmxHrm4EsoRZaKgVFVVUjq+sC+QM2w9KN172rLSmElACYSTg4YwTKjTE9IHU9S4mXFpZCaSIwI5NMLwl/LXK6VAy+1w+HyrWSJEDRXcz6ftJ3LdQruY7ZdDRg7jmuGs84VvYnEiz0PAYIAE5JEuDxGTIXySN5BLgc0AyWkjpDNQ12RzkvyJWVAb+UUAGiMBMZxiFBgnEIekn8x91kTSRTwDPBWZ2YxuIbrxi46W1lYASCBuB6OO8jc+E3pK92DtFTzRYz4Wud9aotKISSBGB7GyY0B2Wve10WKIk9JsJDeQ5LP3l243f0uutXmSaDBgtDmjBiLYjKJnhSsy89A8wyoMQZp3Iz7+4Ew0jgIHAv/NlkcixI8+Y8lwp/yStpBQ55fAg0NgEjpR0JUOD/qI7TEKDnLmabPKDyrglJaSk9ZDImpLWo5r5f9k5dokxcKSn/kDE6YxuvOIEp82UgBIICQEPZ5yQGVChwfpzqOudNSqtqARSRGDB4zBHsrib0vZeOFWusKe/bN2zla7TurJqm3PSoka5GrzS+RVqlq+ZfueS4IEKDSRDaEjCTHnfZJiEhsEmf+kPwE3m7kz0DInS9DBwmEk/8rz3p89VD3Xj5SpONaYElEDgCHg444QKDTF92nS9iwmXVlYCSSbw20fwUkfYl+V0dOi5cMkEKJH+xxSJy3DD+zcwZ8WciGsZJTIiJxn+UccbJy2SMTMqNBQrNMRzdSIZU+V5m+n/DU4dooVGRBAh4Y9Cuj3A3J353tyZSZ136e9JN17pnwP1QAkoAa8S8HjGCRUaYvrg6HoXEy6trASSSGDbeni+JWxd43RStQEM/gDKy0Hj9Jdx343jgU8fyHXkqmOvYvAx8u4yuEWFhmKFBjeCQQb3AxQ1sjAJDVuBd4DCon/mYJkKtDUBOkLxITCD1I1XmGZbx6oElEBsBDyecUKFhpimU9e7mHBpZSWQJAISl2HcRbBcMgXKcYHS0P9tODAnfl6S+rU0+82Gb+g9szd7TQaMk+uczHNtngtkXIZoJCo0FCs0JJLe0vLTF4xqYRMaZgMXFTN1rwJnq9AQjA+4jkIJKAEl4AoBj2ecUKEhpllWoSEmXFpZCSSJwLyHYW5eFgfaPQAnXZGkzmIzu2X3lkhcht+3/x5pWKt8LSZ3mkyN8t7IgBHbaGKrrUJDsUJDGRPEsSpwnMkwEQ35S+BooLlJYRnbBASodpiEhsUm0mcTYEMhcyhRXSRCqORklQ9HmIpuvMI02zpWJaAEYiPg8YwTKjTENJ263sWESysrgSQQ+OUDePk82JftGG/aCbqO9UxchmvnXsv7K9+PuFayRElGnj2S5geE49FAhYZihQb5WIhCdjvwkXlBvd38lki6y0eBeUDrJPzm2Jo83bZiIfU+SLB9pHmYhAZJdCvpK782OU/fzQdQjsFIcA9RoCT95dNuAPaRDd14+Wiy1FUloARSTMDjGSdUaIjp86DrXUy4tLIScJnA1j9g+GmwfZ1juFojuPwDKCcviNNfxiwdwyOLH8l1ZMjxQxhw1ID0O5YiD0IoNEhCgDuj8LYwz8gS3y+n3AvMiPq6HCBKlEQFlQAj800WQ/l6PXAS8HOKpqygbkTBk8yK8RZX8raGSWgQYG8C5xrw8iGQ9JZSJL3l/uZD9RbQGTASa7zz47t2uvHy3ZSpw0pACaSMQHTGiU5PwgmXpqxr2440vaUtKXS9s0alFZWAywSys5yTDL/Kc5kcFygDl82GunICPf1lybol9J3VlyyTAaNlvZY8fdbTkWwTYSkhFBr6AqOLmd9+wEv56pQHbgV6APWBTcAsI1o4uVDTV8TX/EJDdaCT+b5c7/jVuCfPwcea/59uxiHjTbiESWgQWPJX4npAEvPKByK6rACeAh4PocggHHTjlfCvkxpQAkogkAR8kHFCuKvQYP3p0/XOGpVWVAIuE5g7DOY9mGe0/SPQYqDLncRnbvOuzXSZ1oU/djjJ6WpXqM2UTlOoVs4bGTDiG1XsrUIoNMQOyX8tagNyQuMnQE75f5dvCIeb5+BDgJOBtW4MMWxCQzQzERrqmm9IpJeVbgD1sQ3dePl48tR1JaAEkkjgzxXwn6PyOhi6wjNHfKNHrUKD9WdA1ztrVFpRCbhIQLJLjJXkb+ZF6xHnQ5eXPBGXIXtfNle9exULVi+IDLhUiVKMbjeaY2vlvOh1kYPHTanQ4PEJis89ObHRzsQr3FGIiYpGiHgbkFMeCZcwCw0JwwuYAd14BWxCdThKQAm4ROCHWTChm2Osan24/huXDLtrRoUGa5663lmj0opKwCUCf62B51vCdrm5DFQ/GAbNg3JVXOogMTMjvx7JE59LKDen3Nj8Ri490ntX5BIbpV3rXXt3/Y2FxKgoV0pCEnin6HoX81xIHAkJUNm9mJYTgVZAnZh7KKCBCg1uUAyGDd14BWMedRRKQAm4TWD+o/DuPY7VJudAz8lu9+CKPd14WWPU9c4alVZUAi4QyNoLL3eG3z50jJUsCwPmQB2Jv57+snjtYgbMHpAbl6F1/dY8ecaTlCihj0npn52CPdD1LuaZkVMMIjRIrMKiykwjNFSIuYcCGoTtN6gWcCUgKT9EqSlbCEQ509XYDcA+sqEbLx9NlrqqBJRACgm8chl884rT4WnXQ5v/S2Hn9l3pxsuala531qi0ohJwgYAItSLY5pSO/4HmrsSaS9i5jTs30nVaV9btdDJg1KtUj0kdJ1G1rDcyYCQ8wIAa0PUu5oldAkgcBsmo8VUhrUX5WwR8C7gSnTVMQkNTo+TUsEzrGZ7wss6nTTdeMf/OagMloARCQeDZk2GdrLvAhSPh6C6eHLZuvKynRdc7a1RaUQkkSGDZHBh3UZ6Ro7rAhS94Ii5DVnYWV8y5go/XfBzxr1RGKcaeO5ZmNZslOGhtnmwCut7FTLg/MBL4E/gPMClf9sWuwHXAfoBEZ30x5h4KaBAmoUHSdbQHXgXuB34EtrkBMSA2dOMVkInUYSgBJeAigb17YFgdyN7rGL3iI6h9pIsduGdKN17WLHW9s0alFZVAAgS2rILhLWGnZP0DajSBQe9D2UoJGHWv6fAvh/PMkmdyDQ5tMZSeTXu614FaShoBXe/iQvsAcFMRLUUXeBi4JS7rIRcatgCSXeKIAvKKusXTz3Z04+Xn2VPflYASSA6BP5bCc6c4tjNKwW1roFSZ5PSVoFXdeFkD1PXOGpVWVAJxEsjKhJc6wErJqCfHBcrDwHc9I9QuXLOQgbMHss9kwGjbsC2PtnpU4zIAe7L2MOkHeeHtlG6HdaNMSW+te7rexfl7Cf8wYQROi8q+KIEi5wPDAed4j0slTCca/gJmAJe4xC5oZnTjFbQZ1fEoASWQOIGvJsNUk+O91pFw5UeJ20ySBd14WYPV9c4alVZUAnESmH0nfPRkXuPznoHjesVpzN1m63esp8u0LmzctTFiuH7l+pG4DJXLVHa3I59a0/SWPp04D7odJqHhPUBys5hXUx6cjfS6pBuv9PLX3pWAEvAigXf+BR/KdUZA7hZfJFccvVlUaLCeF13vrFFpRSUQB4HolMDS/JgecMFzcRhyv8ne7L0MemcQi9ZKzDsok1GG/7b/L01rSCg3LUJAhQb9HLhFIExCg2SaeFdCeQHT3AIYIDu68QrQZOpQlIAScInAuC6wbLZj7Kx/QcsbXDLsvhkVGqyZ6npnjUorKoEYCfy5wonLsEtizgH7N3WuTJSpGKOh5FR/6ounGPHViFzjd550J10Pkzh4WnIIqNAQ6M+CJEWQo0WSfaKmeTZ+yIxYAlBJ1sU5gKTDTLiETWjoDAwBxgPvAKuA7EIofpAwXX8Z0I2Xv+ZLvVUCSiAVBB47Ev6SpQLoMRkOPScVvcbVhwoN1th0vbNGpRWVQAwEJHju6HNh9WKnUemKMGgu7H9YDEaSV/XD1R9GskzkxGU496BzebDlgxqXIR9yFRqS9xlMs2VJmSXHMiUaq2gA+4AxgGSkkHI2MBO4FPivG76GSWgQQUGA5oxZ/r+oUtINwD6yoRsvH02WuqoElEAKCOz8Ex5smNfRdd/AfvVT0HF8XajQYM1N1ztrVFpRCcRAYNat8MmzeQ0uGAHHdIvBQPKqrt2+lq7TurJ59+ZIJ42qNGJix4lUFDFEy98IqNAQyA/EyYC8RJeYhfcCC4BPgZeihAZ59l0PvG9uACQMIkxCg4AsTlyIBtovYbr+MqAbL3/Nl3qrBJRAsgn89jGMbuf0UrYqDP3NE7nfCxu2Cg3WHwhd76xRaUUlYEngu2kwKSrY4/F9oPNTlo2TW03iMlz29mV8vu5z5895ybKMaz+Ow6p746RFckcfu3UVGmJn5oMWEjZATiyI4OD8Ijin+qOFBvmeXJtoABzqxpjCJDS4wSvINnTjFeTZ1bEpASUQO4FFI2HGP5129U+Cy96O3UYKW6jQYA1b1ztrVFpRCVgQ2PQLPN8KdksmeaB2MxgwB0qXt2ic/CqPf/Y4L37zYm5H95xyDxc0uSD5Hfu0BxUafDpxRbstKVa+BlpHVStIaJArE+cBrqRgUaEhkJ+luAalG6+4sGkjJaAEAktg+g2weJQzvOb9oePjnh6qCg3W06PrnTUqragEiiGwdzeMOhvWLHEqlqkEg+ZBzUM8gW7eynlc/d7Vub50btyZ+069T+MyFDE7KjR44qPrthM7gemAxGnIKQUJDTMASaCgQoPbMxBye7rxCvkHQIevBJRAPgIvtoMVHzvfbP8ItBjoaUQqNFhPj6531qi0ohIohsCMG2HRC3mVLhoFR13sCWy/b/udLtO6RNI1SmlctTHjO4ynQukKnvDPq06o0ODVmUnIr5+APcARRQgNcgDhV0COJh2dUG+msZ5ocINiMGzoxisY86ijUAJKwA0C+/bBAw3zjgL3mwkNT3HDctJsqNBgjVbXO2tUWlEJFEHgm6nwSlRIMw+d/MrMyqTvrL58teGryADKlyrPhA4TaLyfZO/TUhQBFRoC+fl4GrgC6AlMNCPMf6JB3qY8DzwI3OoGBRUa3KAYDBu68QrGPOoolIAScIPAllXwuKSUNuWWX6F8NTcsJ82GCg3WaHW9s0alFZVAIQQ2LnfiMuzZ6lQ44Gi47B0oXc4TyB5a9BBjvx2b68uw04bRqXEnT/jmdSdUaPD6DMXl34GAqG6S2lLugb4GfARMAR4AJGjJzeY0w1HAurh6yddIhQY3KAbDhm68gjGPOgoloATcIPDj2zC+q2OpSj244Vs3rCbVhgoN1nh1vbNGpRWVQAEEMnfBqDawVmLLSRqHKnD5PKh+sCdwvfvbu1z3/nW5vlzY5ELuPuVuT/jmByey92WzZvuaXFfrVKxDRokMT7mu611c0yEZJ14VWbCATIyiCYi4IIEgF8ZlvYBGKjS4RdL/dnTj5f851BEoASXgFoH5j8K79zjWDmkLvV5xy3LS7OjGyxqtrnfWqLSiEiiAwLTr4LPReT/o+jIcIc8n6S8rt66k27RubM10TlocWu3QSCrLcqW8cdIi/YSC4YGud3HPowR5vAxoCzQCREFaBbxjrk2Y1DFx2/9bQxUa3OEYBCu68QrCLOoYlIAScIfAlH6wdKpj67QboM2/3LGbRCu68bKGq+udNSqtqATyEfhqCkwdkPfNFpdD+4c8gWlP1h56z+zNtxudE2gVSlVgUsdJNKoqz1NagkRA1zt/zGaYhIaKwHZ/TEtavNSNV1qwa6dKQAl4ksBTzWHjMse1i0dDsws96Wa0U7rxsp4iXe+sUWlFJRBFYP2PMKI1ZJrtdN3jof/bUKqMJzANWziMCd9PyPXlodMf4tyDzvWEb+qEuwR0vYuZZwMgC1hdTMvqJo7Diph7KKBBmIQGOQoif31GAovdgBcwG7rxCtiE6nCUgBKIk8Ce7TCsXt4Vxqs/80xO+KJGpBsv6/nW9c4alVZUAobAnh0w8ixYZ+LVlKsKl8+Hag09gWjWr7O4ad5Nub50PbQrd558pyd8UyfcJ6DrXcxMJcPEPuAZQAKYyNcFFbkT1RsoFXMPIRca/pSQXgbyl8AIYDzgJNfVohsv/QwoASWgBITAqsXOhlqK5Fu/dRVklPQ8G914WU+RrnfWqLSiEjAE3rgKvvhvHo7u4+HwDp7A89tfv9Fteje2m5MWTas3ZWz7sZQtWdYT/vnNiW17tnHRmxfluv1q51epVEaSFXin6HoX81zkCAsiNrwHdAHk2Th/EaGhD+DKpidMJxrKAxJCXHKESjJ0Ab0TmAy8AHwc85QFq4FuvII1nzoaJaAE4iWw+EWYfr3T+sATYcCceC2ltJ1uvKxx63pnjUorKgFgyXh4/Yo8FCdfDef82xNodu3dRa+3evHD5h8i/lQqXYnJHSdTv0p9T/jnRyc0vaUfZ61Yn0VokKjWclLhfEDuhnYGnF+cvKJCQ7Eoi69wGDDIHA2paUSH78wpB0m6u7l4E4GroRuvwE2pDkgJKIG4CIjIIGKDlOb9oaOknPZ+UaHBeo50vbNGpRVDT2DddzDiDNgr7+aM+NpvJpQs7Qk0d398N6/8mJcV6LHWj9G2oQTU1xIvARUa4iXn6XYiNLwE9AfuA24DJKxAD2BmlOcqNLg4jfJX8gJzyuFMY3e3yTEqVyvmu9iX103pxsvrM6T+KQElkBoCI9vCqk+dvjo8BidKJijvFxUarOdI1ztrVFox1AR2b4MXzoQN5qVn+WpOXIb9vHFaYPrP07l1/q25U9SraS9uaXFLqKfMjcGr0OAGRc/ZiBYaxLnuwChAIrkOBR41HqvQkISp2w+4ywTHyDEvVyu+AW4HpiehT6+Z1I2X12ZE/VECSiD1BLKz4P76eVHVL5sD9U9MvR9x9KhCgzU0Xe+sUWnF0BLYtw9eGwxfTcxD0GMKHHq2J5D8vOVnuk/vzk5z0uKomkcxpt0YSnvkpIUnIMXphAoNcYLzdrP8QoN4ewLwBlAHkBP9ctr/eY3R4N5EtjSnGSTiSTlgjznNIEEyugFtTFdXGvDu9ew9S7rx8t6cqEdKQAmkmsCGn+BpWXullIDbVkMZyY7s/aJCg/Uc6XpnjUorhpbA5y/Dm9fkDf/U66Dt3Z7AIeJCjxk9+OnPnyL+VClThSmdplC3Ul1P+Od3J1Ro8PsMFuh/QUKDVKxtxAZ5o7LQBIg8R4NBxv8ZkJgMlwIDgEOdnSTyl0quSshxkY1RplsAs4ENwCHxd+mLlrrx8sU0qZNKQAkklcDS12BKX6eLGofANZ8ltTs3javQYE1T1ztrVFoxlATWfuNk3tm7yxl+g5Ph0ulQ0pWMdwkjvWPBHbyxXF7EOuWpM5+idf3WCdtVAw4BFRoC+UkoTGiQwcr1iZFAr7y83pp1ItZPgZxOkIwT50nCMiALeBMYDhQVUnycyVbhjag3sY7avr5uvOxZaU0loASCSuDde2C+uap45AXQRWIn+aOo0GA9T7reWaPSiqEjsHsrjGgNG53TAlSoAYMXQBVvnBZ4/afXufPDO3Onpe+Rffln83+GbpqSOWAVGpJJN22255qgjw8V4cHNwP3m55reMsapyskfutKksxTlZq2FjQfMNYqDLOr6uYpuvPw8e+q7ElAC7hAY1wWWyUE24Mw74fQb3bGbAisqNFhD1vXOGpVWDBUBicvw6gD4JieLQwno9QocknOTOL00lm1eFrkysSvLOWlx7P7H8mK7FymdEfR3ganlrkJDankHuTe5NhCWMs3EWXgLyBEdwjJ2m3HqxsuGktZRAkog2AQebQpbf3fG6KHAZzbQVWiwoRSpo+udNSqtGCoCi0bBjBvyhtzyRjgr7/RAOlnsyNxB9xnd+WXLLxE39iu7XyQuwwEVD0inW4HsW4WGQE5rWgYVJqEhLYB91KluvHw0WeqqElACSSCwfQM83DjP8A3fQxUJxuyPokKD9TzpemeNSiuGhsCaL0FS+2ZJlneg4WnQ5w1PxGXYt28fQ+cP5a1f5F2hU55r8xyn1TstNNOTyoGq0JBK2knrq4GxvNqEC8j52rbDFbYVi6qnQoMbFINhQzdewZhHHYUSUALxElg+F8ae77SWe8k3LYcS/lkmVWiwnnhd76xRacVQENi1BZ5vBZud0wJU3N+Jy1DZG6cFpvw4hXs+vid3KgYeNZBrj782FFOTjkHK6RERdnLKAy0foELpCulwpdA+db0rdjrk9L78OwL40fz/vmJbORWkniuRX/2zg7IkE1Xtrtib5LYQwPcm0N6PTXXj5cdZU5+VgBJwj8CHT8I75pjwwa2dt3k+Krrxsp4sXe+sUWnFwBOQuAxTLoVvc/7elYA+r4P8DfRA+X7T9/Sc0ZM92ZKBHprXbs4LZ79AqQxXnoM8MEJ1IR4Cut4VS+19Ixj0BlYBOV8X29BUOMO2YlH1giw0iIojgkE8Y5R2rkTbdGOSUmRDN14pAq3dKAEl4FECUwfBV5Mc5065Bs6+z6OOFuyWbrysp0vXO2tUWjHwBBaOgJk35Q2z9a3QOu9tdjrHv23PNrpN78aKrc4p7urlqvNKp1fYv8L+6XRL+/YAAV3vPDAJFi7E8xBuYdYTVS5N0IsxCbb3W3PdePltxtRfJaAE3CXwzEmw/jvH5gUj4Jhu7tpPsjXdeFkD1vXOGpVWDDSB1Z/BqHMgO9MZppxi6DUVMtL/rk3iMtw470Zm/+ZkASpBCUacPYKT6pwU6CnRuRDD/AAAIABJREFUwdkR0PXOjlO6awVZaEg3W7/1rxsvv82Y+qsElIB7BPbsgPvrwT6TlOjKhVDrcPfsp8CSbrysIet6Z41KKwaWwM7N8Pzp8KeJ+VbpABg8HyrV8sSQx383nvs/vT/XlyuPuZIrjr3CE76pE+knoOtd+ufAxgMVGmwohaOObrzCMc86SiWgBAoisHIRjDK54iXo1a2rPPFWL5bJ0o2XNS1d76xRacVAEpC4DBN7wg8znOGVyIBLp0Ejb2RxWLphKb1n9ibTnLSQUwzD2wynpAdOWgTy85BvUML9g1Uf5H739ANPp3RGaU8NXde7Yqfj9GJrFF0h7wOQgCEVGhKAF7CmuvEK2ITqcJSAEoiBwKcvwFs3Og3q/wMuc47r+qnoxst6tnS9s0alFQNJ4ONn4O3b8oZ25p1wuvn7l+YBb9m9JRKXYfU2ycoH+5ffn8mdJlOzfM00exae7jW9ZSDmOidWYbyDceX+VJCFhhfjJWuCSF6WQHs/NtWNlx9nTX1WAkrAHQJvXAVf/Nex1WIQtH/YHbsptKJCgzVsXe+sUWnFwBGQ01uj20H2Xmdoh7SBHlMgIyPtQ5W4DEPmDmHuyrkRXzJKZDDy7JGceMCJafctTA6o0BCI2X7JPM/GO5h+8TaMbhdkocFctI0Lk2adiAubNlICSkAJ+JTA8NNg7deO8+c9A8f18t1AVGiwnjIVGqxRacVAEdixCYa3hL8k2x1QuS4MXgAVa3himGOWjuGRxY/k+jLk+CEMOGqAJ3wLkxMqNIRptpM71iALDa0SRDcvwfZ+a64bL7/NmPqrBJSAOwQydzmBIHPe8A3+EA5o5o7tFFpRocEatq531qi0YmAIZGfDhO6w7G1nSCVKQr+3oIE3sjgsWbeEfrP6sXefc9LitHqn8cxZz0RONWhJLQEVGlLLO8i9BVloCPK8JWNsuvFKBlW1qQSUgPcJrP4cXjjD8bNkWbhtNZT0VuArG4gqNNhQitTR9c4alVYMDIEF/4E5/8obTtt74NQhnhje5l2b6TKtC3/s+CPiT+0KtZnSaQrVylXzhH9hc0KFhrDNePLGq0JD8tj6zbJuvPw2Y+qvElAC7hBY/CJMv96xVe8EGPieO3ZTbEWFBmvgut5Zo9KKgSCw4hMY3R72ZTnDObQddJ/gibgM2fuyuerdq1iwekHEtVIlSjG63WiOrXVsIND7cRAqNPhx1qx9rgDIm5UmcnlKzjYV0FJCCNxrbbGIiio0uEExGDZ04xWMedRRKAElECuBaUPgM4mbBDTvDx0fj9WCJ+qr0GA9DbreWaPSir4nsH2DE5dh6+/OUKrWh8s/gArVPTG0kV+P5InPn8j15cbmN3LpkZd6wrewOqFCQ1Jm/n2gsGv9dYE1Sen170b7ArLBqRL1bdECRFjIKTlfa9aJOCZE4PWUUF8WSk7jOOz7uYluvPw8e+q7ElAC8RMY0Rp+/8Jp3+kJOEHWYv8VFRqs50zXO2tUWtHXBCQuw7iLYfm7zjAySkP/WXBgc08Ma/HaxVw2+zLkVIOU1vVb8+QZT1KihL4HTecEqdCQFPpH5HvAl06eBuSe5jFJ6fHvRtsAEqBlC/CMOdVwMjAYkGfeC8yzsfj0GTDGDZ/C9JtcBpgBnFnIMRHhKYpODpOwRZ/RjZcbv1FqQwkoAX8R2LvHCQSZtcfxe9A8qOvPI7sqNFh/9HS9s0alFX1N4IOH4b378oZwzv1w8pWeGNLGnRsjcRnW71wf8adepXpM6jiJqmWresK/MDuhQkNKZl8CkEhQkv8DhqWgx5lAW+AE4EtgNNBHIlOZvksBD8kuCJAIsd+44VOYhIZbgX8D04AbgLsAyV9WDjgY6AbcCDwH3OIGXJ/Z0I2XzyZM3VUCSsAFAmu+gudbOobkbZ8EgixV1gXDqTehQoM1c13vrFFpRd8S+GU+vNwZzGkBDu8I3f4LHjgtkJWdxeA5g/lkzScRvKUySjH23LE0q+m/bD++/XwU4bgKDSmZ1f7AKOAQYHkKetwAfC8JXUxf+YWGyC4I+AmQI54XueFTmISGJcCBQENgewFKjvCU3eZco+a86AZgH9nQjZePJktdVQJKwCUCn4+FN692jNU5xrm77NOiQoP1xOl6Z41KK/qSwLZ1MPw02OZkcWC/hs7ftvL7eWI4zy15jme/fDbXl6EthtKzqdxs1uIFAiEUGuQtv7ztb2H+1TPzUNxzcnlAXmR3BxoAm4BZwJ3A6mLmUq4x1JDIUCma813AVKCH6W84MFD+OgBbo3yYAJwF1HLDr+IAutGHV2xsA2QH2d44JCqSXMSVKxUmDG/kJ/OAiimceK/w0Y2XV2ZC/VACSiB1BGb8ExaNdPo7vg90fip1fbvckwoN1kB1vbNGpRV9RyA7C8aeD78Y0bRkGej/NtQ73hNDkVMMg2YPYp+JP9e2YVsebfWoxmXwxOw4TuzN3ssX60zcIuC4WsdFTp14qbi83r1u4vflH2JRz8lyIl5eTss1AwnkOB9oZIQKuQ8k3/+5EGY1TZvbgIdTxPVXc6KhnelPct3K6X4RVyQmQ04RAeQUk5EiYdfCJDRI8Iu3gEsMtSeBq+RaGLA2iuR4CQfmFuCEZyh1BnTjlTrW2pMSUAJeITCyDaxa5HjT4VE4cYBXPIvZD5c3XjH376MGut75aLLU1RgJvP8AvH9/XqP2j0ALeXGZ/rJux7pIXIZNu+TFLzSo3ICJHSdSuYxk2dOiBOwJuLzeyZV5ecksmwH5Jw/lcoeyqOdkCX5yO/AxcDYgL7SlyPX8R82L69aFjOhyQE4UiDDxm/2oE6opJy0kpWVOsgM5wSGiwhRzIkPiFIrAIC/cJYaDKyctwiQ0fAtsNNcjZKauNSk+5A6KKFk5RYJfyFGWOglNp/8a68bLf3OmHisBJZAIgay9cP+BsHenY2XAe3CgnKD0Z3F54+VPCHZe63pnx0lr+Y3Az+/Dy+fnZas74nzo8pIn4jLIW/IBswfw2R/Oy9MyGWUY12Ech1c/3G+U1V8PEEjyeifXDIoSGuQ0/DpJFitnIU1Mg2gq8qB+tHlYjz4tkFNH0sBUACTrQ6rKNYDkkZWTFp+aeAyfA0eZoJRyKkOCpMjRFckv+183HAuT0CAxFyR1xwHAbhN84wdgpUntIXdpJNKmhOOVgJHylzpMRTdeYZptHasSUALwx7fwnFnnS5R0AkGWliuX/ixJ3nj5E0rBXut6F6TZ1LE4BLaudeIybHeyOFD9YCeLTrkqniD05OdP8sLXL+T6cudJd9L1sK6e8E2d8B+BJK93xQkNZwDvmSCOEswxf5EYDfcAd5usEtE/r23iN0gCgv+kkLyIIiIySEDInFMUcqpfQglI6ksJBCmn/yXzRNSRqMQ8DJPQ0AGQi7giJoiQIEWOtlyfJ/1GjshIoEh5pfVjYmh911o3Xr6bMnVYCSiBhAh88V94Q27QAbWbwRUfJmQu3Y2TvPFK9/Dc7F/XOzdpqq30E5DTWS+fB78tcHwpWRYGzIE68lI1/WX+qvlc+W5eWs0OB3fg/tPu17gM6Z8a33pg1jt5cVxYxoYjExhccULDdeZUvFw7KEgtk2fO6cBrwIX5/JBNhwSDqm8RMDKBIcTUVE5XiBAhpzSi4xbGZKSgymESGgqDJZFC5fSC5DMVcUFiNyxLmKz/DOjGy39zph4rASWQCIHp18Nik2DI54EgBYMKDdYfBl3vrFFpRV8QePdemP9Inqsd/wPN+3nC9bXb10biMvy5+8+IPwdVPYiJHSZSobQ822jxIoEdmTu46l0jwgPPnPWM5+YrzULDY+ZF9eMmJkP+aTwGkGyHcjUh/33MnNRWp3tx7t32SYUGt4n6155uvPw7d+q5ElAC8RB4vhWskb0A4KGNeTxDUaEhJmq63sWESyt7msCyOTAuKuX9UV3gwhc8EZchMzuTfrP68eV6ubIO5UqWY3yH8TSpJjHptHiVQAjTW+afiuJONIwwqSH/DdxRwDzKdQp5aS3/Do36eV1gFSDxEp7x6vy76ZcKDW7S9Lct3Xj5e/7UeyWgBGIhkLnLCQSZnem0uny+Z44ZxzKM6Lp6osGanK531qi0oqcJbFntxGXY6WRxoEYTGPQ+lK3kCbcfWfQIY74dk+vLvafey/mHhC0EmiemIiYnVGggWUJDTPOQhMr7m1iErUzSAwl4WVCRDBQ52SkSciNMQsOZwNXmTo3kOi2oyDEWuXcjwTlyjrYkBNhHjXXj5aPJUleVgBJIkMCqxTDyLMdIqXJw6yooWTpBo+ltrkKDNX9d76xRaUXPEsjKhJc6wspPzN+x8jDwXaidyNV090b73or3GDJ3SK7B8xqfx32nSUZALV4noEJDsUJDIlcn0jX9kl1CAlhWLyZtZ45/Ehwy4RImoWES0B6QYytbCyEnoXl/B94EeiRM118GdOPlr/lSb5WAEkiEwMIRMPMmx8KBLWDAO4lY80RbFRqsp0HXO2tUWtGzBN65Cz6UbHWmdH4aju/tCXdXbV1F1+ld2brH2W4fst8hkSsT5Uv5N6uPJ8CmyAkVGooVGhIJBpmiWfyfbkRkaA2MBSSgy88mAUJS/QmT0PCLSWVZXPANOckg6T5cOTKS1Nlz17huvNzlqdaUgBLwMoHXBsOXExwP/3EFnPuAl7218k2FBitMUknXO2tUWtGTBH6YBRO65bl2zCVw/nOeiMuwJ2sPfWb2YenGpRH/RFyY2HEiB1c92JMo1an/JaBCQ7FCQyLpLdP1kZOsihIz4thUOhAmoWEnMBXoWQzgccAFQNjC4erGK5W/edqXElAC6SXw9ImwwWQxlsBpR/s/n7sKDdYfKV3vrFFpRc8R+HMFDG8Ju5wsDux/OAx8D8pU9ISrwxYOY8L3RsQFHmj5AJLOUot/CKjQUKzQUMakgpSUkMeZDBPREyzRTyW3bHPgM4/M/B/Au6k+sR8moWGD+SC0KWbC5fyspCKROyyJFLHRFmhh/skpCSnxMP8VaFiEM02B7xNxVt/wJEhPmysBJeAfArv+ggcaABLvSKL3fAY1JUi0v4sKDdbzp0KDNSqt6CkCe/fA6HNh9WLHLUkROXAu1DrcE27O+nUWN80zV9KALod24a6T7/KEb+qEPQEVGooVGgSmBBy5HfgIODvqGsINwKPAPHNVwR58cmuK+ifiR0qDuMTz0JtcDMmzLgLCacBhwIpCupGdp7zi+hiQYzGJlNeB8wowEA/zHKEhL3Tv3w3fCqxJxFkVGhKkp82VgBLwD4FfPoAxnRx/y1WFm3+FDFfiHqWVgQoN1vhVaLBGpRU9RWDWrfDJs3kuXfA8HNPdEy7+9tdvdJveje2ZckIbmlZvytj2YylbsrDA9p5wW50ogEAIhQY5cnNnFAp5SSzPawujvncvMCPq63LA+3L50jyDSaIBeSksX68HTjJxELzyGZOQAPJ8K6k5/wVkpcKxeB56U+FXMvq4BJBrEd8A/QEjB+d2JcdbRgHNgL4mWEYiftwCyDm2ReafiAXy1zYe5jlCQzxtbcegGy9bUlpPCSgBfxNY8DjM+T9nDAe3hj5v+Hs8xnsVGqynUdc7a1Ra0TMEvpsGk3rluXNcbzjvaU+4t2vvLnq91YsfNv8Q8adS6UpM7jiZ+lXqe8I/dSI2AiEUGuS5b3QxlPoBL+WrI9FN5WWvJBCQD7vkmZ1lRItVsVFPSW05uikbHrn6ISLJaiC7gJ7luKcIKwmXZD64JuxcEgxMBi4252Xl/sxy04eoPMcYEeA14KIk9F1cTtaiulShIQkToiaVgBIIKYFJveE7SS4k59xugDYi7vu/qNBgPYcqNFij0oqeILDpF3i+Feze4rhTuxkMmAOlvZHF4f8++j9eXfZqLqrHWz9Om4bF3VT2BFl1ogACIRQawvA5kPzdcpqhj8VLbxEaSroBJWxCg5yNvQ2Q+zP75QMoUXUeB4Yl6TiJCg1ufGLVhhJQAkogUQKPN4MtKx0r3cZB046JWvREexUarKdBhQZrVFox7QT27oYXz4Hfv3BcKVMJBs3zTFyZacuncdsC2Vo7pVfTXtzSQg71avErAbn+cunMS3PdH3PuGCqW9kaw0RyndL2L+dP1ICABVCQo5HhzrWNbEVYKu64fU8dhExpy4IiqI1clcs50yY5TooLuiYlebJXdEBpuNmk3d0tMBUBOX8g9IDeKbrzcoKg2lIAS8DaBbevgkSZ5Pt7wHVSp622fLb3TjZclKE1vaQ1KK3qAwFs3wafyItKUi1+EZsk4eBv7WJf/uZxLZlzCzr2S2A2OqnkUY9qNoXRJ2WZrUQLJI6DrXcxs5SqH/GIeZTJmxGwgngZhFRriYZVoGzeEhvw+7ACuAV5M1DkNBukCQTWhBJSA9wlE55+vdADc6NwpDkLRjZf1LKqwbo1KK6aVwNLXYIpcHzel+WXQ8bG0upTT+Y7MHfSY0YPlW5xbyFXKVGFKpynUrRQM4dYTkNWJQgnoehfzh0OitM40IQRibhxvg7AKDRIE41ggJ+WkBMNY4uETDU8Cc82pCznBcLAJaDkEkOsgF5jgHjafAzkJUVBpfMQRR5RdurSwH9uY1jpKQAkoAY8TmDsM5skJQslB1AEukROEwSi68bKeRxUarFFpxbQR2LjcicuwZ6vjwgFHw2XvQGkJdp/esm/fPu748A7eXG5i3QBPn/k0req3Sq9j2ntoCOh6F/NUfwpsBs6JuWUCDcImNMhf53uAyyUobj5uck9luEn5IacP3C6JnGgozJeBJrCHvJKzTaKsQoPbM6v2lIAS8A+BsRfA8vccf8+8A07Py/nun0EU7KluvKxnUIUGa1RaMS0EMnfBqDaw9mun+7JV4PJ5UF3eM6W/TF02lX99lBdEt1+zftxwgoQ/06IEUkNA17uYOXczGRUl/aYJ+BKzjZgbhElokNSS7wInG0pfAZLNQSJrNjJZJ+RHkmP0LEDiILhZkiE0yGmGNUAt4CAznnh91o1XvOS0nRJQAv4gkJ0NDzbKi9ze5004ODhv4HTjZf0x1PXOGpVWTAuBadfBZ1HZ9rq+DEeclxZX8nf6w6Yf6PlWT3ZnOdvk42odx6hzRlE6Q+MyeGKCXHAiKzuLZX8uy7XUZL8mlMxwJQmBC945JnS9ixllA+A64DKT/OCdItJbivEVMfdQQIMwCQ1DTUaJBcBVgJGJc6k0k5NfQEuTmcKcrXUDc8RGMoQGsfuREU9OMSJJvA7rxitectpOCSgBfxBY9z08K2K+lBJw60ooW9kfvlt4qRsvC0hOFV3vrFFpxZQT+PoVeFWeBUxpcTm0fyjlbhTU4bY92+g+ozu//fVb5MfVylaLxGWoXbG2J/xTJ9whoOkt3eHoMSvZ5uW6PPvLS/aiivy8lBv+h0lo+FJuuAGHAObC2/8glOsUEtVGUn8c7QbgKBvJEhq+M9cmjgHklEa8RTde8ZLTdkpACfiDwOdj4c2rHV9rHQlXik4bnKJCg/Vc6npnjUorppTAhmUwojXsMVnn6h4H/d+GUnIoN71F4jLc/MHNzPp1VsSREpRgeJvhnFJP3nNpCRIBFRqCNJu5Y3nfQmCIHvgZblAIk9Ag0TanS9b0YsBNAiSputsJY5MhNBxpTmZIXqFqCQaz1I2XG79RakMJKAHvEnjzWvjcpIY+oS90esK7vsbhmQoN1tB0vbNGpRVTRmDPDhjZBtaZUFrlqsLlH0A1ud2b/jLx+4n8e+G/cx0ZfMxgrjpWDghrCRoBFRqCNqPpG0+YhIYtwAdAp2JwTwNOB6q6PC3FCQ3ymk3+vQbcGtV3e3PtwkQvy/2JnLiYCDQFJCuFZKBIpOjGKxF62lYJKAHvE3j2ZFj3rePnec/Acb2873MMHqrQYA1L1ztrVFoxZQTeuBq+GJvXXffxcHiHlHVfVEdLNyyl98zeZGZnRqr944B/8Hzb5z13b98TsALghAoNAZjE/x1CZ0B+gSXFZcpKmIQGic1wHHAU8HMhhCWg4jfA5yZWQyITIavDnVEGWjiXglkY9b17gRnm6/8zGS/kdVtU0mRyvi8X4uT6xw6T3vJ4c39GjsKIGCGnGhIpuvFKhJ62VQJKwNsEdv0FD0gsJHM18apPYf/DvO1zjN6p0GANTNc7a1RaMSUElkyA1wfndXXy1XBO3umBlPhQSCdbdm+h2/RurN4mmeChZvmakbgM8l8twSSgQkMg5zULmA2cm8rRhUlo6A3IQ/wq4G5AkqfnPJyXB7pD5KH+QKAPMC7BiRCxICpkcIHW+gEvFSM0SJaMAcCJQF1z0uIvE49BfJQ+5MOTaNGNV6IEtb0SUALeJbB8Low93/FPjiTf/CtkSOKe4BQVGqznUtc7a1RaMekEJEjtC2dAprxHkl3oidBvJpRMfxYHicswZO4Q5q6cG3Eto0QGI88eyYkHyJZUS1AJqNAQyJldC8jp+B6pHF2YhAbh+jwwMCoYxgYDO0eWFR5S54pUToJH+tKNl0cmQt1QAkogCQTmPQxz73MMNz4Lek9NQifpNalCgzV/Xe+sUWnFpBLYsx1eOBPWf+90U74aXD4f9quf1G5tjY9ZOoZHFj+SW/3a465l4NGyjdYSZAIqNARyduW6fXOgSYxBIROCETahQWBdBFwrV8yAMobeHuAT4Cng1YSI+rexbrz8O3fquRJQAsURGNcVlr3t1Go1FM6IDoVTXGN//FyFBut50vXOGpVWTBqBffvgtcHwlez/TekxGQ49J2ldxmJ4ybol9JvVj7379kaanVrvVJ4969nIqQYtwSagQkMg51cEhkXmJP1QE/8v6QMNo9CQA1Xyg9YwX2wEnL+k4S268Qrv3OvIlUCwCciG/qGDYecmZ5y9XoVD2gRuzCo0WE+prnfWqLRi0gh8/jK8eU2e+VOHQNt7ktZdLIY379pMl2ld+GOHZHuH2hVqR+IyVCsnCc60BJ2ACg2BnOG7gMNN9sX1wBxgRSGCgwSzkjiCCZcwCw0JwwuYAd14BWxCdThKQAkYAhuXw1MSP9eUW351jigHrKjQYD2hut5Zo9KKSSGw9hsYeRbslYRkQP2ToO90T8RlyN6XzZXvXsmHqz+MuFaqRClGtxvNsbWOTQoKNeo9Aio0eG9OXPAo21yZsHn2F6GhpAt9RrIgaFECQkA3Xvo5UAJKIJgEoiO61zwUrpbTg8ErKjRYz6mud9aotKLrBHZvhRGtYeNPjukKNZy4DFXrud5VPAZf+OoFnvxCsqY75cbmN3LpkZfGY0rb+JSACg0+nbii3Y71l1gSKCRcgiw0SGTNeIsoOWfF29in7XTj5dOJU7eVgBIohsD0G2DxKKfSsb3g/GcCiUyFButp1fXOGpVWdJWAXON6dQB884oxWwJ6vgJNvHGVa9HaRQyYPQA51SDljPpn8MQZT1CiRJAfF1yd4UAYy8zKZMYvM3LH0uGgDpT2QBaUaLi63vnjoxbkvxzOX8n4imtHRuLrPi2tdOOVFuzaqRJQAkknMLwlrP3K6abjf6C5ZBYOXtGNl/Wc6npnjUorukpg8Ysw/fo8ky1vhLPudLWLeI1t2LkhEpdB/iulXqV6TOo4iaplq8ZrUtspgaQR0PUuaWhdNRxkoaFhgqR+S7C935rrxstvM6b+KgElUDyB3dvggQawL8upO/hDOKBZ8e18WEM3XtaTpuudNSqt6BqBNV/CyLaQtdsx2fA06PMGlJTY5OktWdlZDHpnEJ+u/TTiSOmM0oxtP5YjaxyZXse0dyVQCAFd7xL6aJwMtBQ90VhZDcwHPk7IagGNgyw0uM0q6PZ04xX0GdbxKYEwEvj5fXj5PGfkZauABILMcCXGkedo6sbLekp0vbNGpRVdIbBrixOXYdPPjrmK+8PgBVD5AFfMJ2rkqS+eYsRXI3LN3P6P2+l+ePdEzWp7JZA0ArrexYX2UGAs0Ny0ztEB5CS/lMWSlwtYFpd1FRrcwhZIO7rxCuS06qCUQMgJvP8AvH+/A6HxWdB7amCB6MbLemp1vbNGpRUTJiBxGaZcCt++kbe37/0aND4jYdNuGJDsElfMuYJ9OM8a7Rq146HTH9K4DG7AVRtJI6DrXcxo6wCfS7Za4HdgCvCryUTRCOhiTjisMUKE/DfhEuQTDaWBzIQJgVt2XHAlqSZ045VUvGpcCSiBtBB4+Xz4ea7T9Rl3QKub0uJGKjrVjZc1ZV3vrFFpxYQJLBwBM6P+7rS+FVoPTdisGwbWbl8bicvw5+4/I+YaVWnExI4TqVi6ohvm1YZPCezcu5P7Prkv1/s7TrqD8qXKe2o0ut7FPB0SBfsK4HHgVmBPPgvyvCtvZW4ApO41MfdQQIMgCw0rgH8DEmp8bxywBPhAQFaDBnG091sT3Xj5bcbUXyWgBIomkLUXHmwIe7Y59S6dDgfJtcRgFt14Wc+rrnfWqLRiQgRWfw6jzoZs897r4NbQa6onrm9lZmfSf1Z/lqxfEhli2ZJlGdd+HIdVPyyhIWtj/xPQ9Jb+n8MCRvALsAtoWsToRBf4FigHHOQGhSALDZLesjWwDpho/kmUm6KyUWQA/wB6AF2B/QF5FRaGVJe68XLjN0ptKAEl4B0Cvy+BEa0cfzJKwdCVUKaCd/xz2RMVGqyB6npnjUorxk1g55/w/Onwp4ktXqm2E5ehUq24TbrZ8JFFjzDm2zG5Ju855R4uaHKBm12oLZ8SUKHBpxNXtNsiMrwK9CxmdOOAi4zYkDCIIAsNAqcDMAw4ytxB2Ql8AfwIbAK2ApWB6oBIuMcCcjZIuIjEezswM2HK/jCgGy9/zJN6qQT+n72zgLKq+sL4b4JuEKRTROkGkZBUygBpC+mSEAP/KnYAKqIgKIqICIgt3SGhIAaidIN099R/7XfvvBlwhrnvvft677VYOm/OPWefb99559zv7vNtRcAqAj9PgLlPGq0LVYMewj+HrinRYDm2ut5ZhkobuoWA6DLMeAA2zzIuj4idguCYAAAgAElEQVSEh3+E4nXd6s7ui5bsXcLApQOd3d5T6h5eqZuUKm/3eNpfcCGgRENwxcuit/LifTNQP432K4BbAFsY0VAnGhKxvB3oDjRPAzgJwhzgI2+U+LB4I/irmW68/IW8jqsIKALeQWDmI7DpW6Pv2/rDnXKaLnRNiQbLsdX1zjJU2tAtBNaMhfnPJF3a6DmoP9Struy+aP/Z/bSf1Z6zV+RdG9yU8ya+aPlFwJ3Bt3ve2p91BJRosI5VELUUNdpWwN3A7FT8bgH8aP671465hQvRkBwryVyoaBIOOYDT5vGKP8xMBztwDcY+dOMVjFFTnxUBRSBlBOSN4tu3wllTOLn9FCgr62vomhINlmOr651lqLShywjsWweT7oJ4Ux7spibQeSZEyulc/9qVuCs8OPdB/j4ux7BxkAszWs2gRA5bjmP7d3I6um0IKNFgG5SB1NFtgGQrSHmZGcAXZtUJ8bEY0AmQmrbyRSViVmvtcD4ciQY7cAvFPnTjFYpR1TkpAuGKwMk98K5wyqYN3RYwZ6O9FRIlGiwjq+udZai0oUsIXDhh6DKc3mdclq2gocuQJY9L3XirsVQSmLFFnjEMe7Pem7QoKS8x1RSBJASUaAjZu+EBYIIpE2DUs00y4QREYqAX8LldCCjRYBeSwd+PbryCP4Y6A0VAEUhE4M8v4RspHCQqPCXhMZHnCW1TosFyfHW9swyVNrSMQHw8TOsI2+Ybl0REQdc5ULS25S682XDurrk8ucLUrAE6lOmAlC1UUwSuRUCJhpC+JwqbVRVFMKagOdODwEqzUqPJktqDgRIN9uAYCr3oxisUoqhzUAQUAQOBWYNh/SfG/1fuAveOC3lklGiwHGJd7yxDpQ0tI/DTaFg0PKl505fg9iTBRcv9eKHhrtO76DirIxdiLzh6L5unLFOaTyF9VHovjKZdBjsCSjQEewQDx38lGgInFv72RDde/o6Ajq8IKAL2ITDuNjhinEPm7veg6kP29R2gPSnRYDkwut5ZhkobWkJgzxr4tCUkxBnNb74LOk4LCF2Gi7EX6Ty7M9tPbXe4li1dNr5s/SWFs8mLTTVF4L8IKNGgd4VdCCjRYBeSwd+PbryCP4Y6A0VAERAELp6EN0XczDyC2G8d5L055LFRosFyiHW9swyVNkwTgfPHYHw9OCvZx0COItBrBWSWyun+t+dWPcd3279zOvJuw3dpVLSR/x1TDwIWASUaAjY0djlWFCgAZLhOhyIc6bEp0eAxhCHTgW68QiaUOhFFIMwR2LoAvmhngJApNzy5EyJCf7lTosHyfa/rnWWotOF1ERBdhqn3w47FRrPIaOg6D4rUCAjgvt32Lc+vft7py8NlH2ZojcAosxkQAKkTKSIgpU/v/OpO5+/m3z+fbOmzBRRaut65FY5HgecAIRrSsqi0Glj5fejvvKygoG0EAd146X2gCCgCoYHAwuGwarQxlzItoNO0gJ/XmoNr+Hrb17x8+8tu17PXjZflMOt6ZxkqbXhdBFaMgiUvJzW58zW4rV9AgLblxBa6zOnC5bjLDn8q563MJ3d9QrrIdAHhnzqhCHiCgK53LqPX1RR7lAv/ArYCZ6/Ti7T32JRo8BjCkOlAN14hE0qdiCIQ5ghMbAL71xkgNHsV6vQPaEC2ntzKw3Mf5lzMOSreUJH3Gr9H7oyup13rxstymHW9swyVNkwVgd0/weTWkBBvNLmlFXT4PCCyp85dOUen2Z3YfWa3w7WcGXIys/VM8mfJrwFVBEICAV3vXA7jRnn1AtwP/ODy1W5eEE5EQwNguZs4hcNluvEKhyjrHBWBUEfgynl4oyjExxoz7bkMClYJ2FkfPn/Y8dbx8IXDDh8zRWdi0l2TKJennMs+68bLMmS63lmGShumiMC5ozC+Lpw7ZPw6ZzFDlyFTTr8DlpCQwBMrnmD+bqPMZgQRjGsyjrqFpJqdmiIQGgjoeudyHC8BPwFNXL7SgwvCiWgQynkLMBGYDBzzALdQvFQ3XqEYVZ2TIhBuCOxYAlPuM2adITs8tRsibTlqaDuS52POOzIZtpyUpQkiIyIZfcdoGhZt6NZYuvGyDJuud5ah0ob/QSA+Dj5vAzuXGb+SEpGPzodCVQMCrGmbp/Haz685felVsRf9qwR2VldAAKdOBBUCut65HC5RqxWBx44uX+nBBeFENCwAGptYxQAiwfsRYCr4eIBiaFyqG6/QiKPOQhEIbwQWvwwrRxkYlG4GXWYGJB4x8TEMWDKAVQdWOf17ptYzdLqlk9v+6sbLMnS63lmGShv+B4Flb8Cy15M+bj4SavUMCKD+OvYXD859kFgzo6tW/lpMaDqBqAAlWwMCNHXiPwhIVszZmKTj+1ISNSLABJV1vXP5xv0AaAWUBOQ52CcWTkSDAFoc6A48DBQya5/JATYhHD4FzBw4n2AfaIPoxivQIqL+KAKKgOsIfHIX7F1jXNfkRag7yPU+vHyFbOKGrx7Ot9u/dY5khxq8brwsB07XO8tQacOrEJAshs/uTSqdW/ZeaPdpQOgynL58mvY/tufgeaPMZt5Mefmy9ZfckOkGDaIi4BICWt7SJbiCpXEuQDZH64EBwElfOB5uREMippFAS6AH0FwS3wA50DsL+BCQg21mAXZfhCEgxtCNV0CEQZ1QBBQBtxGIuWjoM8RdMbrovgQKV3O7O29dOGbDGD7aKPy2YU2LNWVUg1GOoxOemBINltHT9c4yVNrQicDZQ4Yuw/mjxke5SkCv5ZAxh99Bik+I57Elj7F8vyFFJt8lHzf7mOr5q/vdN3Ug+BBQoiH4YmbB409ETQa4BzgD/ArsB0w126t6kGfgbhb6TLNJuBINyYEpAEhdUfknGQ9iArxoOchOMFyyHHTjleafizZQBBSBgEZg1wpDBV4sfVZ4ag9ERQeUy9een66ar6ojtTljdEaP/VSiwTKEut5ZhkobOhCIi4XP7oE9oqUmr6cyQPeFUKBSQAD0yV+f8M6v7zh9GVh1IN0rSAKvmiLgOgJKNLiOWRBckRKhkJrbQjTYIm6lRIMB8Z1Ab5PlSQ66FB8eCwzz5XkWP92suvHyE/A6rCKgCNiEwNLXYfkbRmelGsOD39jUsT3dLNi9gKHLh5JgJszdlPMmPr3rU3JksOeNqBINluOk651lqLShA4Hk2i/yc8u3oYYtL/w8Bnj9ofV0X9CduIQ4R18NCjdgTKMxHmdIeeyYdhC0CCjRELShu57jUn3RFbOlUmM4Ew2i0ZCYyVDUUQEINgDjgSVAB/MMy43A+8BAV6IThG114xWEQVOXFQFFIBkCn7aC3SuNDxo/D/UeDxh41hxcQ7/F/RARSDGpZz+l+RRb69or0WA53LreWYZKG7J9EXwupefNE7Xl74e2EwNCl+H4xeO0+7EdRy8axzkKZCnAzNYzbSMvNfrhiYASDeEZd2/MOtyIBjkAK4qbos1wl5kWcgGYbhIMIpCR3LIDvwFZZF/ojQAEUJ+68QqgYKgrioAi4CICsZcNfYZYKRUtNPICKFrLxU6803zj0Y10W9CNi7EXHQNkT5+dz5p/RqmcpWwdUIkGy3DqemcZqjBvePoATKgHF44bQOS5CXougwzZ/A5MXHwcvRb14ud/f3b4Eh0ZzWd3fUaFvBX87ps6ENwIKNEQ3PELJO/DiWh4BehqEgYy703ABOAzUxQjtbhINYoH7TqrEkjBv8YX3XgFcHDUNUVAEUgDgT2rYZJo+8qOOxM8vRei0/sdth2ndvDwvIcRRXixTNGZ+LDph1TOV9l235RosAyprneWoQrjhqLLMLlVUhUb0VHpvhjylw8IUMb+Ppbxf0gSrmFP13yaLrd2CQjf1IngRkCJhuCOn+l9OpuO/XvUTzgRDSKCIZoLX5vZC6aiT5o30yNy5M0kKdJsHMQNdOMVxMFT1xWBsEdg+UhYKnwyUKIBPPyD3yE5cO4AD815iCMXjxj8R2Q0YxuNpU6hOl7xTYkGy7DqemcZqjBuuHA4rBqdBMDd70NVee/kf1t9YDW9F/V26r00K9bMUbkmIiKctvX+j0OoeqBEg1ciK8+Tk1LouSGwzAsj7gVeBT42Kyu6OoQQDHIC4GlAJAbcsnD6RpLDupKdYOa/uYVXKF+kG69Qjq7OTREIdQREEV5q3Is1/B80eNKvMz58/rAjk0HIBrEIIhjRYAR3FZdTe94xJRos46rrnWWowrThlnkwTaS6TKvUCe79ICB0GQ6dP0T7H9tz8vJJh3PFshdjesvpZJVKO2qKgA0IKNFgA4j/7SKRaKgrdWyS/frvNDLr3XVG9AbvAORNh0gEyL9fUilnmTiGSAzImdPOQHsgL7BUVK/cdSKciIb6ZqnKrWmAVVr0dIAV7oIapNfpxitIA6duKwJhj0DMJXizWJI+wyNzoPjtfoNFBNq6zu/KrtO7nD48f9vztLu5nVd9UqLBMry63lmGKgwbntpn6DJcNB7kyXsL9FgC6UWuy78mYrKPznuU34/+7nAkQ1QGpraYSpncZfzrmI4eUggo0eCVcCYSDZIpEOuVEf7baUvgNUCEW0TNVoSiRHtQnoVPAGcBEZzJDciXiJzpzGQWSJAvmf8Bcz3xNZyIBmGPJKMhrXpEH5nVKGypH+pJcHx8rW68fAy4DqcIKAI2IbBrpXGWWixdZnhqj9/0GUSLodv8bmw5ucU5uaHVh/JwuYdtmmzq3SjRYBliXe8sQxVmDWOvwKctYP+6pO+THksh3y0BAcTIdSP57G+RFjPspTovcV/p+wLCN3UidBBQosErsfQH0ZA4EXnz0h0QIat815mdZD/MAeRZeI0dKIQT0SAaDUI0SEnL69lEU49BiQY77jDtQxFQBBQBbyOw5BVYMdIYpVRjePAbb4+YYv9nr5yl18JebDy20fn7vpX70qdSH5/4o0SDZZiVaLAMVZg1nPcMrB2bNOl7x0PlTgEBwqI9ixi8bLDTl3tvupeXb385IHxTJ0ILgctxl/l4oxztN6xbhW6O7JlAMpvXu2pAU6Cm+a+QOde0npPl7f8woKOpYyBZAvOA5wDj3GSSJRIN8jCfB5AjEy8BX/kYV8lcqGgSDjkAUaoWn/4wMx1sdSctAG0dzM+dWSUahMkR5kfADyfTjVc4RVvnqgiEEgIfN4N9Rok3mr4Etw/0+ezOx5x3kAx/HJW12rCu5bsyuOpgnwm02bzx8jmGPhxQ1zsfgh00Q/0zC2Ykq9pQ5QG4Jxnp4MeJ7D2zlw6zOnAu5pzDi9K5SjuOTEgVGzVFIBwRsHm9+w64JwUcr/ecnNHUL6gN/AusBIqbRMVRQD7fmazPOwEhNGSzIn+4kmF/r/nv+1CNYagTDQ8lC5xkM0ilCclYSMmizfMpQhevBUTTIZxMN17hFG2dqyIQKghcPgtvFod488ij1LgvWMWns7sQc4E+i/qw4cgG57idbunEsJrDfEYyyMA2b7x8iqGPB9P1zseAB/xwJ3fD+PpglqElXznovgjSZ/a76/J2+YE5D7D5xGaHL1nSZXGIPxbPIc80aopAeCJg83r3lPxpAXJmSv7tFgkUU6sgNYClzJVoGMgRg2aAwQLCEOAtYLkpxni9AAk5IXW4RYAxJC3UiQbJYhDxC6smeFwC7gYWWb0oRNrpxitEAqnTUATCCoGt8+ELEUcGMuaEJ3dCpO9OvgnJ0G9xP9YfXu+Evf3N7Xm29rM+JRlkcJs3XqF8G+l6F8rRdXVusZfhkzvhoGikybY/KwhheYNog/vfXlj9Al9vk8rshkkZyzuLy8tRNUUgfBHw8nonz4LXIxqEHJDjBpL9XtUUWEweDEltlOMJ1YFfrxOloWYJysA6l2LjbRXqRMMLJtEg83weEAXN1NJTrgAHgQVmCoyNMAdFV7rxCoowqZOKgCJwFQLz/wdr3jc+urU1dPjcZwAJydB3cV9+PZy0j2hbui1SYSIyQqpE+da8vPHy7WS8O5qud97FN7h6n/Mk/DIhyee2H0OF+wNiDj/u+JFnfnrG6UvnWzozrJYcCVdTBMIbAS+vd2kRDQ0BKR+5A7gphUiIRoPoL7wIyLNoaqZEQwjdxpIG8yXg3+LqgQuobrwCNzbqmSKgCKSGwAd14bApvthiFNTs4ROsUjoucXepux3ibP4gGWTSXt54+QRXHw2i652PgA74YTZ9BzOTVYSp/ii0eicg3N52chtd5nThYqxUpIOKN1Tk07s+JV2UVMdTUwS8h0AQiUFeNh/2UwKjnAcIpUU0DALki2ImYKZUXjWalJWcBXwLtEnFD3kJLkf6JQVT9BxC0kI9oyEkg+alSenGy0vAareKgCLgJQTOH4ORpZI677cO8t7spcGSuhXhx76L+l6lyXBPqXt4sc6LRPnw2Ma1E1WiwXLodb2zDFUINzy+AyY0gCtSSh7IXwG6LYJ0ovHmX5PvmI6zOrL7jLwjgxwZcjCz1UwKZC3gX8d09LBAIIjKW/qLaHgbEE0/IRtEk+Faq2Rm0YtwkwhAikl1CdFzkDcjIgYp5SaFkJDj+kJKhKQp0RCSYXVrUrrxcgs2vUgRUAT8hsCmb2GmVIwCshWAIf9AhHeXNSlhKcKPyatL3HfTfbxQ5wW/ZTIk4q9Eg+U7Udc7y1CFaMOYS/BxEzhkZkOlzwa9lkOeZMSln6aekJDAUyueYu7uuU4PxjUeR73C9fzkkQ4bbggEEdEgJSI9yVxILbRpZTR8CEj65KvAsyl0Iscptpn/Et9+vAbImazCZnsRhZHrpdphyJp3d2T+he0TU59BDrcdBuRnqyYCklJ2JJxMN17hFG2dqyIQCgj8OAh+nWTMpGIHaCNrv/fs9OXTjhKWm45vcg7SpnQbht823O8kgzikRIPl2Ot6ZxmqEG04azCsT7YtbDcZykmlOf/b9M3TefVnef4wrEeFHjxW9TH/O6YehA0CSjQ4CgNcTwzSHaIhbO6f5BMNZaIhseLErcBWQH62akI0+E623KpX3m2nGy/v4qu9KwKKgN0IjKkKJ0SLSSpgj4MqXewewdnfiUsn6LmgJ1tObnF+1u7mdo7qEv7SZLh2sko0WA6/rneWoQrBhhu/gq+TvUuq2RNajAyIiW48upGH5j1ErFmut2b+mkxoOoHoSKnArqYI+AYBJRrSJBrcOTrhm+ClPkoDs+SmT/0IZaJBABX72SxZmfizVYCl/mk4mW68winaOldFINgROL0f3kmWMTnoL8hZxCuzOnz+MD0X9mTn6Z3O/h+49QGerPGkz0tYXm+CSjRYDr+ud5ahCrGGx7bBh3fAFbPkfcEq8Oh8iPZ/dTnJmGr/Y3sOnpcCaHBDphuY2Xqm479qioAvEVCiIU2iwQ4xSF+GVMaSF+7ypmQiMBk45gsHQplo8AV+oTSGbrxCKZo6F0Ug1BHY8Bn8MMCYZe6S8Jgcd7Tf9p3dR48FPThw7oCz867luzK46uCAIhnEOSUaLMdf1zvLUIVQw5iLMLEJHP7LmFSGHIYuQ+4Sfp9kfEI8A5YMYMX+FQ5foiKimNhsItXzV/e7b+pA+CGgREOaRINd5S19eXMtABqbA8YA3wEfAYu96YQSDd5EN7j61o1XcMVLvVUEwhuBLx+Gv2WdBGr0gJajbMdjx6kdjuMSRy4ecfbdp1If5F+El0Un3ZmMEg2WUdP1zjJUIdRQiEkhKBOtw+dwa+uAmODEjRN5d8O7Tl8GVR1EtwrhJhUWEKFQJwAlGtIkGtIDsjHIAVQxK0wkv3f+EOUoQJjCXwPopipuVruQmr6FTC1DKW0jhMOnwCG7fQ0noiGzZKIBx4HzyYDMBTwFlAf2Am9dpyar3fgHUn+68QqkaKgvioAikDoC8XEwoiRcOmW06TQdyjS3FTERfOyzsA8nL5909ju0+lAeLifrc2CaEg2W46LrnWWoQqThH9Ph215Jk6ndF+56PSAm98u/v9BjYQ8kq0HsjsJ38G6jdwNG+yUgQFInfIqAEg1pEg0Sj1eA/wGrgWbJni2l3KU8S8oR/Dt8Gjjrg0WapTWlcoZsnkSXMNYssylCl/NNEsJ6j6m0DCeiQVaUJ4GaydglOZT3JyBlSBKxkDMrUv/0X4/RDa4OdOMVXPFSbxWB8EVg/3qYaGYAikjaU7shQzbb8Fh3aJ0jjVlq2YtFEMHztz3P/TdLZarANSUaLMdG1zvLUIVAwyOb4aOGEHPBmEyh6tB1LkTLS0n/2pELR2j3YztEbNbhWtZCzGg1gxxyrENNEfATAmFINLQEnksGtzwrynOh6Pwl2svA7GQ/ZwSWAbXMZ8aVQDHz56NAbSBJ2MlPsbQwbAHgUfOfZDyI7Te1HCTTwaMsh3AiGuRmkeyFxHqmAqTkpQmIS4A3TXZHaghJDq6QEuFkuvEKp2jrXBWBYEZg+QhYapZ/K1YXuiZf+z2b2JK9S3hi+RNcib/i6Cg6IprX6r1G8xL2Zkx45mXKVyvRYBlVXe8sQxXkDa+ch48awdHNxkQy5oTeKyFnUb9PTCpLdF/QnV8PG5nV6SLTMaXFFMrlSSZy63cv1YFwRCAMiYZHALNWdqoR72oeL0jeIBMwDOgMiBq1MIbzTNJCHtaDxe4Eekv9rmscvgyMNecoug4uWzgRDZKhsMEkExKB+h5oBQiDs8/8UFYjAbOCy2gG9wW68Qru+Kn3ikD4IPDxnbBvrTHfRs9B/aG2zP277d/xwuoXiEuIM55JojLy1h1vUb9wfVv693YnSjRYRljXO8tQBXHDhAT4rg/8MS1pEl44ZuUuQu/8+g6f/PWJ8/Lnaj9H+zLt3e1Or1MEbEMgDIkG27ALoo5EoyExk0GYV+EE5Dl5vPkCvgMgits3Au8DA92ZWzgRDZeAr4HEQusydzkmIboMIuSRaDMAYXZyugNoEF+jG68gDp66rgiEDQKXTsObJcAkA+i5DKREnQeWkJDg2PCP3jDa2Uu2dNl4v/H7VL2xqgc9+/ZSJRos463rnWWogrjhhinwQ/+kCdR5DJpJ9rP/benepTy2VBJoDWtVshWv1X0tIEVm/Y+WeuBrBGRNPBtz9qr1MNAEkHW9c+uuEG0GecEu2gx3mdoMcqZsukkwrL+m1+yAlPTKAuR3Z8RwIhpEVVOKE9cxgRIl0F+AMYDUQ000AVvAV6LBnTtKr1EEFAFFwJsI/DMLZph8cabc8MQOiJS10z0TAbaR60by+T+fOzvIkzEPE5pOoEzuMu516qerdONlGXglGixDFaQND28yjkzEyjsmSWquDY/Mgqh0fp+QlMztMKsDZ68YD3KlcpTii5ZfkDmdaJarKQKKgBUEdL2zgtJVbUS8Uo5/CGEgz/+bgAmAlOI5c53epBrFgyYp4fKg4UQ0SB00YXFEzUtqhsquUn6W7IVFyZCTw3Jy5qasy2gG9wW68Qru+Kn3ikB4IDBrMKw3043Lt4X7k1KPXQUgJi6GZ1c9y5xdc5yXFslWxEEyyH+DzXTjZTliut5ZhioIG14+Cx82hOPbDOcz54FeKyGHZAr71y7HXebBOQ/yz4l/HI5kis7E9FbTKZmjpH8d09EVgSBDQNc7lwMmZW1Ec0Gy++V4xE8WexD9igYmSWHxkqRm4UQ0SCbDimTVJWTuv5s1To2aQsY5lAOAHOgT9iacTDde4RRtnasiEKwIvFsJTkqCmsgWjYMqiafhXJvQuSvnGLRsED//myQqfWvuWxnXZBw3ZJJKyMFnuvGyHDNd7yxDFWQNRZfhmx6wcWaS412+htJNAmIiL655ka+2fuX0ZUT9EUEhNBsQ4KkTikAyBHS9c/l2eNwUszzu8pUeXBBORIPA1BoQ1TDZRUrmwjNmCY9ECOUIxXBADvVN9QDXYLxUN17BGDX1WREIJwSO74D3kmkmDPkHshd0GQEpKdd3UV+2nNzivLZWgVqMvmM0WdNndbm/QLlAN16WI6HrnWWogqzh+kkwK9lp2HqPQ+PnA2ISP+z4gf/99D+nL51u6cQztWQbqqYIKAKuIqDrnauIIarWUqpyaxpXlgak5KW8nPfYwo1o8BiwEO5AN14hHFydmiIQEgj88hHMMStM5CsLfde4PK2dp3bSe1Fv/j0vhYgMa1GiBa/c/grpAuD8tssTSnaBbrwso6frnWWogqjhv3/CxCYQJ9nBUtG+Ljz0PURF+30SW09upcvsLlyKMzQjyucpz+Tmk0kfld7vvqkDisC1CIh+yJ1fyclyw+bfP59s6bMFFFC63rkcDimnJXoL3dK48iOzGkWUyyOkcIESDXagGBp96MYrNOKos1AEQheBLzrAVilRDdzWH+581aW5rju0joFLBzpF2OTiruW6MqjaICIj3BeUdMkJLzbWjZdlcHW9swxVkDS8dAY+bAAndhoOZ8kLvX+CbG4Jpds6aTmm1XF2R/ac2ePoN0eGHHzZ6ksKZnU9G8tWx7QzRSAVBLS8ZUjeGiITIESDlLS8nk009RiUaPDgNhB6Ow+Q4Tp9SNnLcDLdeIVTtHWuikCwIRBz0ShrGXvR8FzeVJa8w/Is5uyc4xB+jImPcVwTQQRP1niSB8o+YLmPQG+oRIPlCOl6ZxmqIGgougwzH4G/RfPb+OvmwW+hVEO/Oy9lAh9f/jgL9yx0fu+MbTyWeoXr+d03dUARSA0BJRpC8t6wSjSIOvbtwonagUK4ZTSIGtCzQG3gejWOEgD/59rZEWHrfejGyzpW2lIRUAR8jcC2RTC1rTGq6Cg8uQui0047lo3+x399zLsb3nV6nCEqA6/Xe52mxZr6ehZeHU+JBsvw6npnGaogaJj8SJW42+BpaDgsIByf8vcURqwb4fSlV8Ve9K8iMmBqikDgIqBEQ+DGxkXPHkrWXrIZpNKEZCykZPLcKzW9BwNrwaHp4LGFE9EgpSy/NeuAngR2AUYR45TN/1S4x+F1qQPdeLkElzZWBBQBnyIw5wn45UNjyFtaQce09Xole+HVta/y9Tap5mRYzgw5ea/Re1TOV9mn7iouJykAACAASURBVPtiMCUaLKOs651lqAK84YEN8HEzMDOVKNHAyGaItCXr16PJ/37kd7rO60psQqyjn9oFajO+yXiiAsA3jyamF4c8Ako0hEyIJYtBXp5bNeEFREjmbmCR1Yuu1y6ciIZ1gMiVDwHeB0QUQy0JAd146d2gCCgCgYmApEaPqZxU1rL1GKj28HV9lXPRkrK8+uBqZ7si2YrwQZMPKJa9WGDO00OvlGiwDKCud5ahCuCGF0/BhPpwytA+IOuNhi5D1nx+d/r4xeO0n9UeqXAjli9zPma2nknujLn97ps6oAikhYASDWkhFDS/f8EkGuR5X8rv/A58n4r3V4CDwAIgSS3bw6mGE9FwAdgA1PUQs1C9XDdeoRpZnZciEOwIHN0KY2skzWLIZsgu1ZdStn/P/Uu/Jf3YdnKbs0GlvJUY02hMSG/0lWiwfKPremcZqgBtKOTjjAdg8yzDQRFzffhHKO7/LV5cfBy9FvXi539/drgWHRHNpLsmhWQWVYDeHeqWhwgo0eAhgIF5+W7gS+BJX7oXTkSD0MqSBtLZlwAH0Vi68QqiYKmrikBYIbD6PVgg8jpA/grGW8tU7K9jf9F/cX+OXzrubNGsWDNerfsqGaMzhjRsSjRYDq+ud5ahCtCGa8bB/GQ6DI2ehfpPBISz7/32Hh/+aR7zAp6q8VRIic4GBMjqhFcRUKLBq/CGVefhRDR8AVQHbg6rCFufrG68rGOlLRUBRcCXCExuDbtWGCPWGwqNn0tx9EV7FjFs5TBnrXpp9Gj5RxlYdWBIlK9MC3IlGtJCyPl7Xe8sQxWADfevh0/uhHhD+4BSjaHLVxDp/xK1K/avoN/ifleRnKMajCIiIpy22wF4z6hLLiGgRINLcGnj6yAQTt98RQDRaZgM/A8wVyi9P0wEdOOlt4IioAgEHgKXzsCIEkkPFY8ugKK1rvJTKkt88tcnjN4w2vm5pCs/d9tztCndJvDm5CWPlGiwDKyud5ahCrCGF04Yugyn9xmOZSsIvVdClhv87uiBcwdo/2N75CFNrHj24kxrOY2sUiVHTREIIgSUaAiiYKXu6iemPsMzwGFAfrZqIiDZzWrj67ULJ6JBRDBKSPV1s+LEMmA/IIqc15oA/LIdAAdRH7rxCqJgqauKQNgg8PcP8OWDxnQz5YIndlylKB8TF8NLa1/iu+3fOSHJlj4b79zxDrUKXE1IhDpmSjRYjrCud5ahCqCGosswrRNsnWs4FREFXedAUalY7l+7EneFh+Y+xKbjm4yvquhMTG0xldK5SvvXMR1dEXADASUa3AAt8C5JrDhxK7A1lefd1LyW52BbSveEE9GQCLiVOdsGcODdd6l6pBuvIAqWuqoIhA0C3/eD3z43pluhHbRNKgF96tIpBi0bxK+Hf3XCUThrYcY2GUvJHCXDBqLEiSrRYDnkut5ZhiqAGq4aAwuTHZtq8iLUHRQQDr685mW+3Co6a4a9Xu91WpWUqupqikDwIXAx9iKvrH3F6fiztZ91kGeBZLrepRmNBmYLUaWVkpWJP6d5odlgudWG12tn5aHbjnECoY/r10L7r4dyxCKcTDde4RRtnasiEAwIxMfD27fAOcn6A9pMhIrtHP+78/ROBiwewN6ze50zqZqvKqMbjiZXxlzBMDvbfdSNl2VIdb2zDFWANNy7Fia1gASzMnnpO6HT9IDQZfhxx48885NkJxvWoUwH5MFMTRFQBLyHgK533sPWzp7DiWiwE7dQ7Es3XqEY1TCfk5zdP3TmEruOnUeeWRMtd5b0lMqXhQzRtmSGhTnKXpz+/l9hYiNjAClfJ8cmMudm9cHVDF02lLMxZ52D313qbobfNpz0Uem96FBgd60bL8vx0fXOMlQB0PD8cRhfF85KiXcge2FDlyFzbr87t/XkVrrM7uIUoC2fpzyTm08O6+8hvwdFHQgLBHS9C44wK9EQHHHyhZe68fIFyjqG1xHYd+IC32w4wPo9J9h08Awnzl9JcczoyAhK5s1C2QLZaVL2RhrfciOZ0ivx4PUAuTLA4pdg5VvGFcVud5zHnrZ5Gm/+8iZxiW82gceqPEb3Ct3DXtldN16Wby5d7yxD5eeGwhB/0R62LzQciYyGrvOgSA0/Owbnrpyj4+yO7Dmzx+FLjgw5+LLVlxTMWtDvvqkDikCoI6DrncsRzgyIaq7U/j6f7GpJAX0KKA9Iiqhsuna43HsqF4Qj0RANtARqmoDL2ZVEJU5ZHSQIf4dhVQrdeNn1V6X9+ByBmLh45v11iBnr9rFqxzFEM8xVy5I+iqZlb6R99SLcVipP2D+0uoqfV9qPrQ1H/3F0HdP0JUZEnWP6lunOoeTM6Gt1X6NJsSZeGT7YOtWNl+WI6XpnGSo/NxSiUQjHRGv2KtTp72enQLLlhiwbwqK9ixy+RBDBuCbjqFuort99UwcUgXBAQNc7l6P8OvCk+fybKGyVAfgTuMnxNWbYMaAS8K/LI6RwQbgRDbICiKqYlLqUucvjiGgxPGpi0xYQNR85BPyNHQAHUR+68QqiYKmrSQis3n6M4T9sYtuRc6nCki9bBme2Qrwcpzh9iZi41NmIGsVzMajJzdRRwsF/t9qJnTCmimP805ERPF6tJT8fk/XQsHyZ8/Feo/com6es/3wMsJF142U5ILreWYbKjw13/wSTW0OCee6tTEvoOBUi/L91nbxpMqPWj3KC06dSH/pW7utHsHRoRcA+BKSa0+xds50dtizRknRR6ewbwIaedL1zGUR5sS7ZCzcnu1JKWH4ELAHeNF/EPwbIl5uQEh6b/7+tPZ6C5Q5kN/oLIH8pHwA/maTCp8mIBjncKyklPwBdLPccGg114xUacQybWRw8dZFX5/zD7D//S7qWvCEL91UpRJWiuShbMDuiyZDcJANCdBv++fcMy7ceZcGmw5y7HPsf7GqWyM0Lrcs5+lDzMQJrxsL8Z9iVLpoBBQuxJzKJGCqXpxxjGo1xkA1qSQjoxsvy3aDrnWWo/NTw3BEYXw/OHTIcyFkUeq0wStz62dYfWk/3Bd2dx7fqFKzDuMbjiIrUo3d+Do0ObxMCWt7SJiADqxvZLG8wyYREz74HpDxOcWCf+eFmSSKVOl92uB9ORMM0M1OhBbDABE9o8uREg3ws5TzyAuH2mkw3Xnb8RWkfPkFgyebDDJz+O2cvJZED8pLrnkoF6VK7GNWL5XLp6MOlmDiWbTnClLV7WLVduMYkEy2HXg1KMqBRaTKm042kTwIsg0xqyerD6xma7wbORkU6h21evDkv3f4SGaMz+syVYBlIiQbLkdL1zjJUfmgYHweft4Gdy4zBI9NBt/lQqJofnLl6yKMXjtJ+VnuOXZTsYsifJb9DlyFcK934PSDqgFcQUKLBK7D6u1Mpcfl1shfpwgHIF5noMhjpo4bNAO4UetcOh8OJaBBafCdQJxlwKRENXwBCRngKsKyITc2zMKIHUcgc113MhcZ/AbhX1jZA5vOt+dkpG24G3XjZAKJ24V0E4uMTGLt0O28v2nqVDkPlIjl56Z5yVCzs6Z8t/LLrBO8u3vofwkGyJEa2q0i1Yv5XOvcuyv7vPeH8cb6YUImRuXMSlyxNul/lfvSq2MslEsn/s/GdB0o0WMZa1zvLUPmh4bI3YdlrSQM3HwG1evnBkauHjImPofv87mw4Ii8FIToyms/u+owKeW158ef3+akDikAiAko0hOS9sBuQ0j2Jz8HVzUz/McCgZDMWIay7bHgOdnTp7kNvMEZAmBxJEemQBtEgbURZLIuHk/wOuCeFPtzBXAQq15hiHUKWrAfKmf+2ArcBJzz0VzdeHgKol3sXgQtXYhky4w/mbTJTaYHM6aMY3ros7aoVITLSnT+t1H1esfUoz3y7kf0nLzobRUVGMKz5LXSrW0Ifdr0UbtnMvz6nGzOP/+YcIWNURl6t+yrNijfz0qih0a0SDZbjqOudZah83FCyGD6T9ynmUamy90C7yQGhyzBq3Sgm/y2yXoY9W+tZOtySfEvpY6x0OEXASwgo0eAlYP3brTyXyjGJ+4HFpmah/CzZC4aqrWEiFJnJrsx+e3fm/gUwrdElNeQokDz3LqWMBnlwl89vSavDNH4vpUKErFhn/hMmSdQ93cFcBCxFM0IEKmVVS8wXFxZqgClo+YiH/urGy0MA9XLvISAkwyOT1jmyDRKtWJ7MfPhgdcrkz+a1gWXctxZsZdKqXcQn045sUSE/I+6vRNYMUsRGzS4ETl06xZDlQ1h3SL42DbsxMgPvtZjCrXlutWuYkO1HiQbLodX1zjJUPmx49hCMrwvnZasmsmUloNdyyJjDh06kPNSC3Qt4fPnjzl+2KtnKUfEmIgCEKf0OjjoQcggo0RByIZUJSSbDimTPofI8+jsgmQ2m4i43AgcAkRt40A4U3HnotWNcf/QhWgwCmmQrLDUduJZouM88vzLWfIC300/JqHCHaCgA7DfJhaLA4WROSX8i3iG53FKa84gHDuvGywPw9FLvIXDxShyPfrqONTuTtBMa3JyXMR2rkCOzb1SQf91zkv5fbODf0/JnbFjJvFmY9EgNiuXxNPnJe9gFU8/bT25nwJIB7D8nX3eGVbx0mdG3v0re8lIISC0tBJRoSAsh5+91vbMMlY8axsXClHth90pjwKgM0H0hFJAqa/61Xad30Wl2J87HGKXnb8p5E1NbTCVzOilLr6YIhB4CSjSEXkzNGbUGhgKSKS+ZC8+Yz5iJE5YjFMMBqSE81Q4UwolokAwFycW9Ajxt6hvIWRUhIISmFpJBynnIk0tFYJcdACfrw12ioSvwiZnmklKx+I/NqhnSTubirunGy13k9DqvISAijd0nr+en7Ybwlli7aoV5o21F5BiDL+34ucsMmvE7K7cl+ZInS3omda1hizaEL+cSaGOt2L+CJ1c86dzIi38tz53nxVOXyPDkTkinwo9WYqZEgxWUHG10vbMMlY8aLnkFVoxMGqzl21BDKq/51y7EXKDz7M7sOL3D4UjWdFmZ3mo6xbIX869jOroi4EUElGjwIrhh1rVvd+r+B1cO/k2Ro92puCJkQCezvKXd3rpLNIwGBgKyAqdU07Qf8D7wDjDEA6d14+UBeHqp/QjExSfQ47P1LNmclKjTpmohRt5fyeckQ+LsxKfRi7by3pLtzgmLTsTYLlVpWEZLLbp6FyQkJPDZ35/x1vq3SDDPZMui9NiJU3Q7fYaIW1tDBzk5pmYFASUarKDkaKPrnWWofNBw+yL4XI4Nm+fTyreFth/7XZdBvp+eWvkUc3fNdYIwuuFoGhdt7ANQdAhFwH8IKNHgP+xDbeRwIxokfkJDDzYrQkjdUKmbJrm6C4G3AIO2tt/cJRpEl0GyLYRsEE2Ga00EJ0XgQ9q19cBt3Xh5AJ5eaj8Cr835hw9XiPapYfdULsjb7Sv7jWRIPsNvNuznya/+JNYUbpDsipH3V6RN1cL2AxGiPV6Ju8LLa1/mu+3y9WVYpuhMvHH0BI1OmWe020yEinpswuotoESDVaSUaLCMlLcbnj4AE+rBBfNoXJ6boOcyyOA97R2rU5r6z1Te+OUNZ/Ou5bsypJon73OsjqztFAH/IqBEg3/x98HoIjCWxzzSn9pwom3osYUj0eAxaG524C7RsMAkRXoAE1MYW45TCEki/6xIsm9Kxf9SZcuWzbBpU2q/dnPWepki4AYC3/62n8Ez/nBeeWe5GxnbuSrRUcILBoat3HaU3lN+5fyVOIdDogk2om1F2lUvEhgOBrAXJy6dYPDSwc4yceJqwSwFGXPzg5T5RpK05Ix2enhiB2TMHsAzCSzXlGiwHA8l1i1D5cWGcTEwuTXslaJaUi8yI3RfDPnLe3FQa13/fuR3us7rSmyCob1dI38NPmz6oaOkpZoiEOoIKNEQshGWZ8ZngdqmVEBqE5X0Mlu+7JRo8N29pESD77DWkYIYgT/3n+L+8Wu4EmuI4N6SPxtf96lDlgCs8PDXgdOOahjHzl12kg1vtqlI+xpKNqR2C247uc0h+njgnAgbG1YlXxXeueMd8ix+BdaLJA1w813QeUYQ38m+d12JBsuYK9FgGSovNlz4PKx6N2mAu9+Dqg95cUBrXR+7eIwOP3bgyEXj2F6+TPmY0XoGN2QS/TQ1RSD0EVCiISRjLKUsv5XXOMBJU4vw7HVm2tAOFJRosANFa324SzTo0Qlr+GqrEEDg6NnLtH7vJw6dMao75Mqcjh/616VI7sBV995+5BydPlqL+J5ob7SpQMeaUiRGLTkCy/ctd4g+Xoi94Pz4nlL38Pxtz5M+IgreugXOm5oc94yDKlLVV80qAko0WEVKj05YRspbDbfMg2lSrdu0ih3hvvF+12WIjY+l58KezhK70RHRTLprEpXzVfYWEtqvIhBwCMTFx7Ht1DanX6VzliYqUp5PA8d0vXM5FlI3vKqp5yfafkY6rpctlIkGTwC0LWUkWfzcJRpUDNLLfwTafWAgIMJbUmFisSn+KLoHn3erxW2l5BhZYNuOo+fo9OFajphkgxyjGN2hMvdULhTYjvvIu5RFHyN4vPrjPFT2IaMW/e5V8GkLwyNJTx66DTJL5V41qwjoxssqUko0WEbKGw1P7TN0GS7KSzUptFYGei6F9P4vFfz2+reZtGmSc9ZP13yaLrcq4emN20D7VAQ8QUDXO5fRkzc8G4C6Ll/pwQWhTDTsTpIwdiIk803+mvGU+ZucyTAU8QshGkp4gGtKl7pLNGh5S5sDod0FJgLTftnLsG82Op0b3rosXW+3+8/Qe3PfKWTDR2s5fMbIbIiOjOCjh6uHfTWKmLgYh+jjt9slY8+wzNGZGVF/BA2KNEgKyNyn4Ofxxs+lGsGDSe29F7XQ6lk3XpbjqUcnLENlc8PYKwahuF9erskp4czQYynkkwrk/rWFexYyZFmS2GPzEs15s96bBhGqpggoAgGFgK53LodD0kUXAZ1dvtKDC8Lp2zMd8BVQDXgZmAacMbETeWMpa/mcyfZI9QZDAcg+c5doKGBWxRB/5OB3Uq0/yADsA+S1X8Frfueq57rxchUxbW8bAruPnafFmJVcMIUV7yiTl0mP1Ai6DZ5kNrQbv4YT5684sMmYLpKp3WtRrVh4vpk/dekUg5cNZv3h9c57RUQf32/8PqVzlU66f+LjYXR5OGPqNrQaDdWFY1VzBQHdeFlGS9c7y1DZ3HD+/2CNZO2adu94qCzbL//aztM76TSrk/NY1005b2Jqi6lkFiJETRFQBAIOAV3vXA7JF0B1UcBy+UoPLggnouEFYChQEUiqmXc1eCUBeaUqZS6f9wDXlC5Ni2joD8g/eY037JoOpJC85O59DXRMRoKIitJjwGTgEQ/91Y2XhwDq5e4hEBsXT/sJa9iw10gwEl2G+YPqky97Rvc69PNVImYpxygSq1FkzxjNzN51KJPf/+XafAmNbNz7L+7PvrPChRrmFH3MdM1xmP3rYaJZmz4iEh7fClnz+tLdkBhLN16Ww6jrnWWobGy4eTZMT/YyrcoDcM9YGwdwr6vzMefpPLsz8p0lljVdVqa1nEbxHFIBXU0RUAQCEQFd71yOirysllQyeWb8nxdeqKfoUDgRDduBv4G70wjND0A5Sd51OYRXX9DSzJBI/LSmVMADfk7WTDIrZps/CxEyPBXSQKSO15o+7QDk9aD4KDWgRK1FypSc8NBf3Xh5CKBe7h4CY5duZ+T8Lc6LP+hSleYVJJEneG319mOOahRX4ozKGQVzZOS7frcHLXniaiTW/rvWkYJ89kqSoPHdpe5m+G3DSS9lK6+1Bc/C6veMT4vXg0dmuTqktpdFoVw5/v77b1nnZH1QSx0BXe98fXec3A0T6sOl08bI+coapSzT+zdjQPRjhi4fyoI9UkncsHcbvkujoo18jZCOpwgEDAJCvj0892GnP5ObTyZLOv9rqCQHSNc7l28XeYEu55GltM8uYJmZMW9sVK82kRCQZ1SPLZyIhouA7F7bpYHaTEBKgGTyEF3JMEhSFEq5M8kN/tT81fWIBmkiudfS5l7gRuCwmf0g5ESi1oQnLuvGyxP09Fq3ENhz/DxN31nhLGXZpmoh3m4fGure8/46RN+pvxIvX9dAhUI5mNGrNpnT21Ka2C28fXHRzK0zeXXtq8QlJOnxDqw6kG7lu6V8FCYhAUZXhNMijwM0Hwm1evrC1ZAbQzdelkOq651lqGxoGHsZPrkLDooOmegyZIGeyyCvTzN4U5zI5E2TGbV+lPN3PSr04LGqkiiqpgiELwJa3jIkYy+EguxIrTz7SztbyoxYGSxU0JacuOzATdd5MM8FSOaDaDcEjwqdPRHSjZc9OGovFhGQN0ldP13Hsi1HHVfcmD0DC4c0IHtGkVMJDZu0ahcv/igvmA1rcuuNTHiwGlJRI9RMymG98+s7TP5bsvIMyxiVkdfrvU6TYk1Sn+6+dfCx+Xs5NjFkM2QTLlXNVQSUaLCMmK53lqGyoeGcJ+GXCUkdtZkIFdN652PDuGl0se7QOnos6OEkRWsXqM34JuMDroyf95HQERSBqxFQoiEk74ikFBVr00vazFlrn2Kr0Nvtpg7Gq6b2wa/A48CKa5rWM7UZRCzydeBZD3ANxkt14xWMUQtin+WNf+/P5c/RsPc7V6FVRdE0DS174YdNfLpaiuAY9ujtJXi+ddmQmuSFmAsMWzmMJfuWOOeVN1Ne3mv8HuXypJHFP/dp+PkD47oS9eHhH0MKG19ORokGy2jremcZKg8bbvoOZibb31Z7BFqLvJR/7dD5Q3SY1YETl4xTpwWyFGBGqxnkyijvm9QUgfBGQImG8I6/nbMPJ6JBlOXkEJ7UD5WUEKnesMcEs5icGDTTSVYBTQERbwwn041XOEXbz3M9fzmWpm8v5+Bp48+s7k03MKVbzaCrMmEFxrj4BHpNWc+if5IKxoxoW5H2NUSXJ/jt6IWj9F/Sn7+PJ2Vu3JL7Ft5r9B75s+S//gTj4+DtW+GcnATDeACRBxE1txBQosEybLreWYbKg4YndsKEBnDZLPCVvwJ0WwTp/Cv0KyV3H5n/CH8e/dMxuXSR6ZjSfArlblBpEw+irZeGEAJKNIRQMP08lXAiGhzrCSBFkvuapSKTwy/S6PJaTSpOxPg5Lv4YXjde/kA9TMd8fe4/TFhuKHynj4pk3qB6lMybNWTREGJFKmtsOmhsuNNFRTC9Z+2gL3u59eRW+i3uh7wdTLQGhRswov4Ia2Xhdq2Aya2NSyOjYeg2yByepUDtuPmVaLCMoq53lqFys2HMJfi4KRwyHuZJnw16LYc8nupsu+lPssteWfsKM7bMcH7ywm0v0PZmqWqupggoAoKAEg0hfR+IUJgULJAiBVJsQIoUfGLOWNKK5TN5cxRrBwrhRjQkx0xeJybmaf8LmEpkdsAalH3oxisowxZ8Tu88eo5m76wg1lRJHNDoJh5vVib4JuKixwdPXeTu93/i2LkrjitvyJqBHwfcToEcnurOuuiITc1XH1jNkOVDEHXqRHvg1gcYWn2o9TPOPw6EX0093NLNoIto8aq5i4ASDZaR0/XOMlRuNpw1BNZ/nHRxu0+h3H1udmbfZd9v/55nVyWdjG1bui0v1BGdbTVFQBFIRECJhpC9FySr/3PzZbtwAJLhL1oMj5ozFsb1S7Nwwjd2oBDORIMd+IVSH7rxCqVoBvBcek/5lXmbjDfghXNlYuHgBmRKb4u4bQDP2nBt3e4TdP5oLTFxRikKqUQxs/dtZEwXXPP/euvXvLz2ZaeIWmREJE/VeIrOt3a2HoO4GBhVGi6eNK65bwJU6mj9em35HwSUaLB8U+h6ZxkqNxpu/Aq+7pZ0YY0e0DKpsoMbPdpyiRzvemjuQ1yOu+zoT/RjpGxfhqgMtvSvnSgCoYKAEg2hEsmr5iHiYL+Y2f2Swf+TSSrI255EokHqjx8HfgC62IGCEg12oBgafejGKzTiGNCz+HXPSdp+sNrpY6gKQF4vCNN+2cuwbzY6m9xfrTAj768YFPoUUinkvd/e46ONHzn9zxSdiZH1R9KgSAPX7r1tC2Hq/cY10RmNYxMZpTCQmrsIKNFgGTld7yxD5WLDY9vhwwZw5ZxxYYHK0G0BRPv3Yf7UpVMO8ceD5w863MqVIZdD/LFA1gIuTlCbKwKhj4ASDV6JsajiDjCrH8pR/i3ACGC6V0b7b6fTzEyFFqZmobSQkpfJiQb5bDmQF7BFtVyJBh9FNwiG0Y1XEAQpmF2Uh9R249ewfo/xBrtS4Rx81+/2oHjAthv357//i8/WJGrRwmv3VaBzraJ2D2NrfyKg9vzq55m1c5azX6ks8X7j9ymbx4316Jte8Ke5vt56N3SYYqu/4diZEg2Wo67rnWWoXGgYcxEmNoHDfxkXZcgBvVdAruIudGJ/Uym923dxX1YfNEhuycCa0HQCUs5STRFQBP6LgBINXrkrBgEiRva7WXDgXqCf5HMC33llxKs7lVRiEUerk+zjlIiGLwAhI3La4ZMSDXagGBp96MYrNOIYsLNYsOkQPacklbOc1qM2t5XKE7D+etOxK7HxjiMUiaSLCGLKEYpKRWz5Xrfd9bNXzjJ46WB+PiSaQYaVylGKcU3GUTCrGyVJ5YFkZGm4ctborN1kKCdrrponCCjRYBk9Xe8sQ+VCwx8GwIbPki7o8Dncaoq9utCN3U3f3fAuEzdOdHY7uNpgHi2fmCls92janyIQ/Ago0eCzGMrxBdEJbOeDEaXM2/dAh2RjpUQ0SJsmQBY7fFKiwQ4UQ6MP3XiFRhwDchaxcfHcOXoFO44awoENy+RlUlcRvA1fO3zmEi3HiDikcV64YI6MzHqsHrmzyBG5wLHD5w/TZ3Eftp3c5nSqRv4ajG44muzp3Tzq8Nc38FVXo790WeCJ7ZA+c+BMOkg9UaLBcuB0vbMMlcWGf8yAb3smNa7dF+563eLF3mu2aM8iBi8b7BygabGmvNXgyKO0xAAAIABJREFUrbDMpPMeytpzqCFwIeaCo6JUoo1tPNZaJSkfAhEi65081Itoly/etEjRg6NAtWRhSolo2GoeqbjFjnAq0WAHiqHRh268QiOOATmL6b/s5WlTlyAiAuYOrMct+d18SA3IGbrn1M87j9N54s/EmRU46pW+gcldaxIZGRhfzTtO7aD3ot5Xla9sWbIlL9V5ifRRHhAiX3SArfMM0Cp1gvvGuwegXnUVAiGy8fJFVHW9sxPlo1vgw4aQWIGmUDXoOg+iPfiOsMG/nad20ml2Jy7EXnD0JllYU1tOJYuQm2qKgCIQ1AjYvN7Jw3dTs+SjvAUrZIKT1mZMyoYNA0TJWs6/ngBkc/MccCAVgKW8pLxZaQ5MAqTSw1wfBEO0GB40sxWWmuNdSzTIMY6vgbGmnoTHbqUFoMcDaAdBg4BuvIImVMHlqBwTaDhqGQdOXXQ4LuKHo9pVCq5JeNHbiSt38srsf5wjPN70ZgY0Lu3FEa11veHwBvov6Y8cm0i0buW78VjVxxxnnN2288fgrTIQb5ZofvA7KNXQ7e70wiQEbN54hTK0ut7ZFd0r5+GjxnDU/A7LmBN6r4Sc/tWcOXflnINk2H1mt2OmWdNl5YuWX1AiRwm7Zq79KAKKgB8RsHm9E42Ee1KYzvWekzMC8sAuYi9y/GElIII0QlRI5oB8LpoIyS2/2VY+iwP6Ah/6CEbJUPgNkBrrTwPfAqKOKwTE46ZWhJQHEqHKisAuO/wKJ6JBgm+sOGopIaAbL70vvIJA8myGdFERLB16B4VzaZp8Itgiktl36gbm/mWU/JRkhs+716JOqRu8Eg8rnS7Zu4QnVzzpLAMXQQRP13zatfKVqQ308wSY+6Tx22wFYPAmiAyu8p5WMPRHG5s3Xv6Ygq/G1PXOLqS/7QN/iHaYaZ1mQJm77OrdrX7iE+IZtHQQS/clvrSDMQ3H0LCoEppuAaoXKQIBiIDN691TpibBOqlEbj4vSqmc6z0nvwL8D1gDNAPMUjsMAd4yqzfccQ10ks1QWXY/gHxRyrmuTmYWgS9QliMaoryd2iZcdBzEHylvaYuFE9Egr88WAVKXTc7EmK/TbMExFDrRjVcoRDHA5hATZ2Qz7D9pZDN0qlmE19sIUaqWHIEzl2JoNeYn9p4wUnxvyJqBOQPrki+bEOa+ta+3fs1La19CNuti6SPT80b9N5CzzbaYpFgf3GB0VecxaPayLd1qJ2DzxiuUIdX1zo7o/vY5fJ90jjtQ/p4n/DGB939/3znDnhV7MqCKVJVTUwQUgVBBwMvrnTxwX49okHNhR4AcQFUzUyA5tH+YWQHVgSQV9P+CL8+kUhv8Zh/GpZhJcMimTl7CS4rqfmChSZDssNOXcCIapF6p5COL6IaktEiqyMdAksKZncgGX1+68Qq+mAW8x1+u38eTX/3p8DM60shmKJJbsxlSCtxfB07TZtxqrsQZD/i3lczjyGyI8pFeg2RWfLTxI9777T2ne9nSZWNMozFUzy9rpQ12dCuMrZHUUZ/VcGM5GzrWLgQBL2+8QglkXe88jebhTcaRiViDRKZILXhkNkRJ1q3/bMX+FfRf3J8Ex1YP6hWq5yjB69FxL/9NR0dWBPyCQGx8LL8dkSx7w6rkq0J0pLyMDxzz8nqXFtEg6VFLAHkovykFVESj4SXgReCF66AmTO27skUOHGTt9SSciAZBTlijHkAbQF4Vykq03Dwf8415bsVehIOnN914BU+sgsJTqTTR+O3l7DluvKVvX70wI+5XbYbrBW/K2j08951Zg14o5yY3M7CJ9/UaJHth5LqRfP7P50738mbKy/im47k5l41E++KXYKVkFAL5K0BvqeykZhcCXt542eVmIPSj650nUbh81hB/PG6+p8mU2/hbzpGon+ZJ5+5fu/fMXjrO6sjZGENXpki2IkxrOY0cGeSlo5oioAhYRSCIyltK2a7U3sB78hYjLaJhEPAOMFO2tyng2hKYZeogyDNnajYVqJUKWWE1XAHdLtyIhsRgSLF6Ud7sDlQwCYeTgBSAljSWJGW2gA6frc7pxstWOLWzr37dz9CZkj2G4638kscbUCyPqn1f786QrIIB035j1p+iK2ToNUzrUZtaJfN47YaKiY9h+Krh/LjzR+cYxbMXd5AMhbLa+OAQHw/vVoTT+4xxmr0Kdfp7bV7h2LESDZajruudZaiuaZiQAN/0gI2yvzaty1dQ2qajVW76dT7mPA/MeYDtp7Y7esgUnYmpLaZSOpf3iVo3XdbLFIGARUCJBtIiGt42jx8I2SCaDNeavFX7HZBzoonlJEU0Rio6bDZfdov4pDyHSl1gefYMSQtXoiF5MEUdVLIcOphCIPK71WaWw5eAUeQ+9E03XqEfY5/NUMo1Nnl7ObuOnXeM2bZqYd5qr9kMVgJw9lIMLZPpNeTPnpE5A+uRO4v9peIuxV7iieVPsGz/MqdrZfOU5YMmH5A7Y24r7lpvs/sn+FRIfpFXioQh/0A2EWBWswsBJRosI6nrnWWormm4fhLMkpd5ptUdAk2Gu9ubLdcJQfv48sdZuEeOGBs2ssFI7iruX1FKWyannSgCfkAgiIiGv+XUoBcgSotokEoR8uz4KvBsCuPLcQpJ+ZJ/iWmho82SlkUA2RyL7yPNzAcvTMFR1cJdk4x/W45zKNFghKCMWdpDmKVEE5CPAaJUlqQq5G7IAv863XgFfoyCxsO5G/+lz1RD8E/eyi9+/A5K3KDZDFYD+Of+U7T9YDUxccY548a35GPiw9WJiLDvK1vKvw1YMoD1h9c73aqZv6ZDk8Erdea/6we/m0czSjWGB+W0mpqdCCjRYBlNXe8sQ5Ws4b9/wsQmEGe+fyl2Ozz0A0TZsh91xyPHNRM3TuTdDXLM2bCu5bsypFpKLxndHkIvVATCCgElGtLMaHCHaPD1PSSVFo1NZJLJJjJ57eFT5q8k0z/R9prX2VIL2L5dq6/h83w80WhoZzJSt5slTKS+3CemwIdkODxgpreIkEeoS6Prxsvze0p7kG+nhATuG7ea3/cZ318tKxZgbGcR5VVzBYGJK3fyyuykU1zPtSpLt7q2fO9z6tIp+izqw1/Hk/QgGhVpxIgGI8gQJULLNpuc6R5VBmKMDBfaTISK8vWrZicCSjRYRlPXO8tQmQ0vnYEPG8AJsyx85hsMXYbsBVztydb2K/evpN/ifk7xxzoF6zCu8TiitGSurThrZ+GFgBINaRIN7hyd8PdNJEq9X5lHOeSZdhpwxnRKym1KWUsRsZS3hG3tqs4YjkSD1NaTdJcuZlkSwVjOzYwHvrsGWCkBstb8TFJdQtl04xXK0fXh3H7ZdYL2E6SssGE/9L+dioWTk6U+dCaIh4qPT6Db5HUs3SJFciB9VCTf9K1D+UKeCZsdvXCUngt7Os8yS993l7qbF+u86D1V6Q2fwQ9mebmMOeDxLZAuUxBHJzBdV6LBclx0vbMMlYM9hq+6wqZvzasi4MFvoZQIr/vPHOKPszty9ooh/lg4a2Gmt5qu4o/+C4mOHCIIKNGQJtFglxikL+8YeWk+1Cy7aTLG/xm+JLDRLHP5vB3OhRPRIMcihGCQOm0y7+PAZGBCGiUuRSBSSIkoOwAP4D504xXAwQkm17pPXseif6S8MNQumZvpPW8LJvcDytfj5y7T/N2VHDlrpCqXzJuFWQPqkjm9e6nKB88dpPuC7uw7awoyAp1v6cxTNZ/ybvm3iU1h/y8GtjV6QMtRAYVzqDijRIPlSOp6Zxkq4JePYI7sT01r8DQ0HOZKD7a3TUn88fMWn9tbJcd2r7VDRSA4EFCiIU2iwa7ylr68IUQpV3Qh7k5j0B9M3YtSdjgXTkSDUZzeEHqU7AWRTLYi9CirqyiY+Ze6tyPa1+9DN17exzjkR9h+5CxN3l7hnOekR2rQ8JZ8IT9vb05w1fZjPPDxz46XimIdaxThjbaSmOWa7Tuzj24LuvHveaOihVjPij3pX7m/rdoP//Hq6BYYK5q7iYMuh4KVXXNeW1tCQIkGSzBJI13vrEJ18Df4uBnEXTGuKNHAyGbw49EEKcc7ZNkQFu9d7JzFqAajuLP4nVZnpe0UAUXgOggo0ZAm0SDq3PJGTVJMq5gVJpIjKiXXZKMmL7d/DZCb7aIpPJnWuVV5Pm4lxXvs8DuciIb3zOyFpEPJdiAYOn3oxit0Yum3mTz11Z/MWG+8Lb/5xqzMH1Tfuw+xfpupbwd+Y+5mxi9PKhU9rktVWlSwfjZ656mdjkyGoxeNYxhig6sN5tHyj3p/IguehdXy9Qvkr2Cc61bzCgJKNFiGVdc7K1BdPAUT6sOpPUbrrDcaf79Z/UseT/hjAu//nqTR3b1CdwZWHWhlRtpGEVAELCCgREOaRIOg+ArwP/MFdjOzkoR8Lkq0bwHLgTsswO2rJnJcIjsgFTESRSCvHTsXIJkPot1giyhYOBENorJ5DjiRRkQFZBHFENXNcDLdeIVTtL0w1yNnLlH3zaVciTOSh0beX5F21UNd2sQLQKbQZUxcPPePX8MfpsBmtozRzBtUn0I50yact57cSo8FPThxKemrb1jNYXS+tbP3nY+LgbdvhfMmwdF8JNSSktFq3kBAiQbLqOp6lxZUkkI14wHYPMtoKSVppcJEiXppXenV3y/ft9xRLSfBFFOvW6gu7zd6X8UfvYq6dh5uCIQh0SCZ6yKEmGiShinPyD8n+0wEFGcn+1mKCkht8FqApIquBETbT36WTU9tIDUtBH/cUlKKU868SYbF40BS+rHhjXy5C0FSDXg9lbKdLvsdTkSD1BP9FOiWBkofSXUku+qHuhwR/12gGy//YR8SI7+9YAtjlggRCjdmz8DKJxuRPjoyJOYWCJPYc/w8Lcf8xLnLsQ53ahbPzbSetYmS+qGp2OYTmx0kw6nLBnkdQQTDbxtO25tFUNgH9s8smCESN6JykwEe3wyZc/tg4PAcQokGy3HX9S4tqNZ+APOeTmrV8Flo8ERaV3n195KZ1XlOZ0SfQaxotqJMazWN7OnlJZ2aIqAI2IVAGBINjwCT0sBPng3lOTK5ydseeXiXNzfyZk3e6MwzSYv9dsXDpn6EGFkA1DXLV8rRDzNdzUGQSKqabChXAU3BkdXhsYUT0SCvWeUGSStXWIgGaRPq4o/X3jy68fL4zyl8O7gcG8ftbyzh2DnjHO8Td5ahX0PJzlKzE4FvNuxnyJdy9M+woc1upn+j0ikO8ffxvx3VJU5fPu34fWREJK/c/gqtS7W206Xr9/VFR9g612hTvi3cL9WD1byFgBINlpHV9e56UO1fD5/cBfExRqtSjaDL1xDpP+JYHnw6z+7MnjPGvjhzdGamtpjKTbl0nbF812tDRcAiAjHxMazYn/TCu37h+qSLlOqIgWO63rkVCwmiHO3oaxIjyTuRc88fmFkN5pe/W2NcdZESDf/FUOo3CZOT1XN4g6oH3XgFVbgCy9nkD8AZoiNZM6wxubOIVo6anQgkJCQwcPrv/PDHQUe3ks3wVe/bqFJUTnwl2aZjm+ixsIez7FtURBRv1HuDu0rcZac71+/r9AEYXR4STB1eRzm8Rr4bPwxH0o2X5aDrepcaVBdOGLoMp83KNNkKQu+VkOUGy+Da3TAuPo7+S/rz04EkfZd3G75Lo6L6fWI31tqfIhAsCOh653GkJAOjoNmLHP3wimRAqBMN9ZOFQc7RSDrLG6mERurFlTGZnE1ShM3jEAZXB7rxCq54BYy38vB7z9hV/LnfeHPevnphRtxfKWD8CzVHzlyKofnolRw4JQLCUDR3ZuYMrEfWDEbJSwfJsKAHZ2OM2vLREdGMaDCCpsWEP/WhLX0dlptftzmLwmN/+PWNqA9n7rehdONlGXpd71KCSnQZpnVKykKKiIJHZkMx/5YofufXd/jkr6RsqL6V+tKnch/LwdaGioAiEHoI6HoXHDENdaJBXqWZReEc504S/z+16CS2kUPF04MjhLZ5qRsv26AMr4427D1Jm3FSNdaw2Y/VpVxBqfij5i0E1u8+QfsJa4g3v9Hur1aYUe0qIcclpLrE2SsmyRAZjZR9a1y0sbdcSbnfuFgjm+GsWUqz8XCoJ9l6at5EQDdeltHV9S4lqFaNgYXJ9NCavAB1B1sG1RsNZ++czdMrk7Qi5Lvs7TvedhwFU1MEFIHwRUDXu+CIfagTDaLJkEguPGyW7BCRi5RMDpdLPvKPwIbgCJ+tXurGy1Y4w6ezgdN/4/vfjVR+ESj8srd/336FC/JvL9zKmMXbnNN95t5sTN41DDnLLBYdGc1bDd7yT3pxchFIOdc55B/ImjdcQuO3eerGyzL0ut5dC9XetTCpBSSIbjZQuhl0muHXLCTJznp43sNcjrvscOmmnDfxeYvPyZIui+VAa0NFQBEITQR0vQuOuIY60ZA8ClbFIIMjcvZ7qRsv+zEN+R6lpGWdN5YQa75aH9elKi0qFAj5eQfCBGPj4mk3YQ2/7T1FZIaDZCk2EaIuGCRDRDSj7vBDJkMiMFPawI7Fxk8qAumz20U3Xpah1vUuOVTnj8P4unDWIIzJXtjQZfBjhZhjF4/RYVYHjlwQYXTIkSEH01pOo0g2LZls+S7XhoqAmwhciLlwVSaRaDxlTpfZzd68c5mud97B1e5ew4losBu7UOtPN16hFlEfzOedhVt513yrXiBHRlY+2ZDoKE1p9QH0jiH2Hr9A83EzoeAHREYbJd9E+FGOSzQp1sRXblw9zoldMKZy0mdyxru4VFNS8zYCuvGyjLCud4lQxcfDF+1g+yLjk8ho6DoXikgZef/YlbgrdJvfjd+P/u78TpvQdAK1Ckh5ejVFQBHwNgJhWN7S25CGbf9KNIRt6P8zcd146b3gEgIxcfGObIajZ420Vi1p6RJ8tjTefXo3nWY9xLnYk47+EhIiaZb3cd5u+ZAt/bvVycLhsGq0cekNN0O/XyBClxq3sHTxIiUaLAOm610iVCvfgsUvJQHX7FWo098ykHY3FHHh51Y9x/c7vnd2/XTNp+lyq0hnqSkCioAvEFCiwRcoh8cYobz7e97UZxgLnADkZ6smug4vW20cIu104xUigfTVNOZu/Jc+Uw05k3RREawd1pg8WTP4aviwH2f/2f08Mu8RDl847MAiISGCSwc7wLkqfNO3DhUL5/Q9RrGX4e2ycOGYMfZdb0BtVYf3VSCUaLCMtK53AtXuVTC5VVIJ2jItoeNUvxKDn236jJHrRzoD2aZ0G1647QUilKy0fHNrQ0XAUwSUaPAUQb0+EYFQJhoSK07cCmwFEn+2MmchGqLC7DbRjVeYBdzT6T748c+s3GY8UN5dqSBjOlXxtEu93iICh88fdoikHTh3wHlFxlOdOfpvRcfPJW7I4qj+kTm9UfLSZ/bnTPimuzFcdEZ4fDNkyuWz4cN9ICUaLN8But6dO2roMpw7ZIAmJWh7rfDr3+uqA6vou7gv8QmyXYOq+aoysdlE0kWlsxxYbagIKAKeI6BEg+cYBmAPxYVe9rVfVh66fe2TXeNJlQmxbwCp9Zb4s9X+J1ttGCLtdOMVIoH0xTR2HzvPHaOWOYea0bM2tUrm8cXQYT/GiUsn6DqvKztP73Ri8Vzt5yiarjGdPlpLgllnp1PNIrzexiAefGYfNYYD643hKneBe8f5bGgdCJRosHwXhPd6Fx8Hn7eBneZ3uFSG6TYfClWzDKDdDXed3kWX2V04G2OU5i2QpYBD/DFPJl1X7MZa+1ME0kJAiYa0EArK38cCIsbzESBn0+Rnr1soEw1eBy/EBgjvjVeIBdPb03l9zj9MWGE86N6ULysLB9fX1FZvgw6O0pXd53fnnxP/OEd7ovoTPFTO0GQYMW8z45btcP5uwoPVuLNcfh94BuxfDxMbJ40lb0cLVPLN2DqKAwElGizfCOG93i17E5a9lgRW8xFQq5dl8OxuePryabrM6cKeM3scXWeKzsSU5lMok7uM3UNpf4qAImABASUaLIAUfE22SOFiU1bgKPAp8DGQVCfdC3NSosELoAZpl+G98QrSoPnD7cuxcdR+bTEnL8Q4hh/euixdby/hD1fCakwpN9V7UW9+O/Kbc959K/WlT+UkDYQrsfHcP341f+4/7WiTK3M65g2qz43ZM3ofq6+7w8aZxjhF68Cjc70/po5wFQJKNFi+IcJ3vZMshs/uNfeaQNl7oN1kv+kyxMTH0GdRH37+92dn8N654x3/Vc2xfAtpQ0UgdBFQoiFkY9sA6AG0AWRjKDmwy4EPzRMAV+yeuRINdiMavP2F78YreGPmF8+///0AA6cbZccypovk52FNyJFZz9B6MxgxcTEMWDoAOcOcaA+VfYih1Yf+J5Nk59FztBzzExdj4hxNb78pD1MerUVkpBe/7s/8C6PLQ7yZiScPLuXkYUbNlwgo0WAZ7fBc784eMnQZzsvLLGEiixu6DBlzWAbO7oavrH2FGVtmOLvtX7k/vSr5L7vC7vlpf4pAMCKgREMwRs0ln0Ut/EFARLUqmISDlC/7zDxakZQ261K3/23sxZ2nh555fvknHnQhDE83D64PxkvDc+MVjJHys8/tx6/hl91SyAXur1aYUe00Pd6bIYmLj2PYymHM3Z2UIdC2dFuG3zY81eMq037Zy7BvNjrd+l+LW+lRv6T33Fz6Gix/0+g/eyEY+CdE+ViI0nuzC5qelWiwHKrwW+/iYmHKvbB7pQFSVHrothAKVrYMmt0Np2+ezqs/v+rstnmJ5rxZ7009hmc30NqfIuAiAko0uAhYcDevaWY5dACymFNZbWY5fAkYNezdtFAmGgzZYvdMq064h5teFeIIbD9yliZvr3DO8tu+dahSVKsKeCvsUlNeNuLJ3/g1K9aMEfVHEBWZemEcua73/9k7DygpqiUMf2wkZwlKEklKkCgZQSSDAQNBgvgEERVzwiwG1KcCT5AgUaIZCSI55yiCSJYgGSQvG9+p6dnZBYHt3emZ6Z6pOoejsPfWrfqrd+6dv+tWjVvLr5uN1pfSfvTHXnWpcIMP3lxKS8vPy6e8JW38FtR/zleQqN5rIKBEg+nHI/SIhnnvwaKUtpG0+gxqBO59yrK/l9FrTi8SkozMqwr5KjCq+SgyS7caFUVAEQgoAko0BBT+QCwuBXGed2c4JK8v34WltVxf4IuMGhXMRIPcQ/FG5M5KKEnoHbxCKboW+fretC18tWS3S9vNhXMyo3c9fftkEbZXUjN4w2C+3Pil50e1C9fmi8ZfECVvI9OQk+diaTFgMYdOx7hG3nRdNqY9VZ8sURZ37t0wEX7qaVgjXxKe3QLZtFJ8WvHxxc+VaDCNamjtdzvmwrj7UuoyVLgP7hsRsLoM0jGn0/ROng4TBbIUYGLriRTIWsB0AHWgIqAI+A6Bs7Fnue9n+cww5Pu7vid7VHbfLZgBzbrfZQC0S6cIq/uAO5uhLiCcgPQ7lhsB8wDJcOjkruXwtptwSPeiwUw0pBuMEJ8QWgevEA92RtyXQoO1PpzLiXNGrZh37y5Pl9rSllfFFwh88+c39F0hRLIhla6rxPAmw8kamdX0cst2HOOhEStTtbwsxodt5TqeRSK9NIfWh0PuaxpVOsPdGSa+LTIqdNXowct07ENnvzv9t1GX4fxxA5x8paDHAojOYRosKwf+E/MPHWd0ZN+ZfS61mcMzM7rFaMrnK2/lMqpLEVAEghwB3e8yHGDpey4FIR8CktNc5wNDgJ8ua3tZHFjh/reiGVlRiYaMoBacc0Ln4BWc8fO5VzM2HaTX+HWudaIjwljVR4tA+gr02X/N5vkFz5PkKggMJXOVZEzzMeTOLPV70iepW5HKzCGdqtG8gkUtL10V7O9OMejxZVBQvzCkL0LWjdaDl2ksQ2O/k7oMY9rAXrlu6844enQuFKpgGigrB0pR2x6ze7Dm8BqPWu0wYSXCqksRCB0EdL9Ld6yl8KMQDNXd2QvCPo8BhqbR4lIKRAopkaF0WCUa0h2noJ0QGgevoA2f7x3rOnIVC7cZ1crvqXw9/dtX8f2iIbjC6kOreWz2Y0jbNxFJJx7fcjyFsmWMHJBMlLZfLuX3A6dd+nJnjeSXp+tTOFcW79H9ui3snGvouakxdP7Be52qIcMI6MHLNHShsd/NeRuWfJ4CSpuBUK2raZCsHCh1Y95c9iY/7ZAXZob0rtKb7pXk3KuiCCgCikD6END9Ln14Acm1C4V5luwF6UduptDjC0AroFG6V3QzGhmZ54Q5cr9EXgfKrrrffd/ErN0yr7HZwUEyLjQOXkESLH+7ceCfC9T7aJ4nBX9i91rUvknv4Vsdh+0nt9P1l66eu8s5onIwtvlYSuUp5dVSl7e8rF0yH+MerUm4Ny0vD/0OQ+Ran1s6/wQ3ZWgf8so3nZyCgB68TD8Nwb/fbZsFE+T6rVsqtYN7hwasLsOITSPov66/x5w2Jdvwfr33tcaP6UdWByoCikBqBHS/S/fz8D939sLv6Z7pxYRgzmgQ5kYIg5uBbamYHDNwadcJMyjpmJBBoP+cbfSfs93lb4l8WZn/QkM9IFoc/cPnDvPQjIc4fN7oFBEdHs2wJsOoWrCqJSt9s3ofL33/m0fXi83K8kQjLwiMHx+HjRMMfYUqwmOLA/YlxhKAgkCJHrxMBzG4iYZ/9hm1Uy5IW3QgfxnoPh+iA1PMbdaeWTy/UAqaG1K1QFWGNx1uqqit6YjqQEVAEbAMgcSkRA6eO+jRVzhbYcIyhVmm3wpFut+lG8ViwFnA6E9/dZFWclLEZ2+6V7jChGAmGqSAhcgBdxGL5L+bxe0vswODZFxwH7yCJEiBcCMhMYkGH89HshpEvP6CGggnbL6mVHjuOrMr204KJyqlfzMhd5cbF7cusUpSl5+csJ7pm4zDQ0RYJr7tWTtj7UmlwFz/SuC+3kHb4VDpQZujHPzm6cHLdIyDd79LiINRLWH/KgOMiCzQfR4UvMU0OFYO/P3Y7zxlPOoEAAAgAElEQVQ882EuJhgZukWyF2FCqwnkyaxtka3EWXUpAlYioO0trUTTNrqkl/BoIK2+xsOBbrJ7WGF5MBMNVuATSjqC9+AVSlH0ga+Lth2ly0jj0Cqp9steuYOCObXXuVVQS4G0XnN7seKgFPY1pE/NPnQo18GqJTx6Tp2Po+XAxR7SqGjeLEzvXZ+cmSPTt9bsN2HpAGNOziLw9AYIT6eO9K2oo00goESDCZCMIcG73/36GixP1fnlni+hckfTwFg58MDZAzw0/SGOxxgdL+Qq2LiW41zFbVUUAUXAvggo0WDf2HhhmWT6C9HwSBo6hGiQMRkq/ni5biUavIhYkE0N3oNXkAXK3+48MWEd038z3oLfeXNBvuoqBWtVrEBAsgzeWPoGU3ZO8ajrVqEbz1V7zgr1V9Sxes8J2g1dTqLR0II2t17PwPaVzV+FiTkNn5eHi0ZxSZq+D3We9Jm9qtg8Ako0mMYqOPe7rTNgUiqCsnInuGeQaVCsHChfVLrM6MLOUztdaiMyRTCkyRBqFq5p5TKqSxFQBHyAgBINPgA18CrNEg0/Ak0AS+7ahSLREA3cB9QHrnfH/W9gCfA9EBP4ZyEgFgTnwSsgUAbPov+cj+W29+cSm2AUqx3WuRpNy2es+0HwoGKdJ0M3DuWLDSlvH1vc2IJ+9fv5/C7kwLnb+Wy2cU1D5JP7K/FAdZMtkhd/CnPfNSZG54RnN0PmnNaBopoyjIASDaahC7797uRfRl2GmFMGCAVuAWllGZXVNChWDZSOOb3mXJql9W6dd7m39L1WLaF6FAFFwIcIKNHgQ3D9q7pBquUWADOBflcxQa5KlAU+law/oIYVpoYa0XCnO22k8BU6bsj7vUPAw8BsK8B1mI7gO3g5LAB2NHfs8j28OUU+byB/9iiWv9qYyHB7FQSyI25mbJq2axqvLn7VM7RawWqu4o9R4VFmpns1RupudBi+glW7jZpAWSLDmda7HjddlwaBHXse+leE88eM9es/D43f9MoWnWwdAko0mMYyuPa7+FgY2Qz+XmcAEJkNeiyA68qYBsSqgZKl9fbyt/lhe0qr2+4Vu9O7am+rllA9ioAi4GMElGjwMcD+U5/cGEFWlO/87lzWqxqQPOYhYJIVZoYS0SD5egsBOcWvBCYCe9wgSqFIyTesBcQCt7vHWIGxU3QE18HLKajb3M67vljCb/uNN2SP1ruR11sHpqCYzWFKt3lrDq2hx+weyJs/kRI5S7juLueKzpVuXRmdcPDUBVoMWMw/5w0byhXKwU9P1CVz5DWu5a34Ema+4v4ykxWe2QTZ8mfUBJ1nMQJKNJgGNLj2u19ehpXSFt0tbb+CSqlaW5qGxfuBw34bxv/WSxc1Q1qUaEG/Br7P0vLectWgCCgCyQgo0RA0z4LUZEgmF7oCO4ClV/FOvv9Khv9UwM1ae49DKBENswAp4d7L3Uf0Suj1AGS3loyGZt7D6ygNwXXwchT09jT2z0NnaNZ/kce4X59pQNlC0vFGxRsE/jr9l6uN5amLBoGTJzoP41uOp2hOk1cXvFn8srmztxym+9g1nn/tXKs4fe+pcOUV4i/CgMpwRvYhoWV7QfMPLbRGVXmLgBINphEMnv1uyxT4pkuK49UehjbuQq2m4bBm4NSdU+mzpI9HWZUCVVxtLKVVr4oioAg4BwElGpwTq3RYarZGQzpUpj00lIgGOdVvBdKqRCTZDuUA/71aTDtO/hgRPAcvf6AVAmu8N20LXy3Z7fK0UpFc/PxkvRDw2rcuCrnQaUYn9pw2kqmiwqIY0WwElQtU9u3C19D+9s+bGb0sObkLvnyoKi0qyu2yy2TtaJj6tPGPcr3j6Y2QM7nMTcDM14VTIaBEg+nHITj2uxO7YOjtKYVZC1aER2dDZBbTQFg1cOXBlfSc05P4xHiXyuI5izOuxThyZ85t1RKqRxFQBPyEgBINfgI6BJYJJaLhJDADkHsn15LxQCsg1HbH4Dh4hcAvrT9cjEtIpPaHczl2VjKpoO/d5elcu4Q/lg7aNeSaxOOzH2flIeEyDfm4wcdIAchAysX4BO77chm/HzC6SOTIHMGM3vUpmjdVEbmEePiiGpx0ExLVukGb/oE0W9e+AgJKNJh+LJy/38XFwIgmcOg3w+moHPDYQsh3k2kQrBq44+QOuvzShTNxZ1wq82bO6yIZApGlZZVPqkcRCGUElGgI5ehb63soEQ2/urtMVEwDwk2A9PJrai3Uttfm/IOX7SF2joGzNh+ix9drjfNrRBir+9xJrqyRznHAZpZKgbR3lr/D99ulsY0hvSr34vFbH7eFpbuPnaP1wMWci01w2XNr0dx8+1htV+xdsnEy/Cg3y6ScUDj0Xgd5lHiyRfBSGaFEg+mIOH+/m/YcrBmR4vD9o6BCW9MAWDXw0LlDriytw+cPu1RmDs/sytKqdF0lq5ZQPYqAIuBnBJRo8DPgvllOKnVLfQbpcSyVv9NTuVvm9bXCrFAiGm4D5ML5R8A7gNGvL0UEi7eBl7UYpBWPlupwMgJyb1/u74u0rlSYLzpWdbI7Abd93JZxfLRaPnoMaXljS1cby0yZ7PMRPGXDAZ6etMFj43/q3cgbUvxTshkG3QYndho/q9Qe2g4NOKZqwL8RUKLB9FPhbKLh9+/hu0dSnK3RHVr917TzVg2ULyNdf+nKjn+kvpiUNM/E540+p3ExKYeloggoAk5FQIkGp0buEruTO07cDEg/8+S/mzl4CtFwjcrg5vExs5h5bfYamao6ksewulI8H/gLkFeL8l8R6TohrwLkFd1wYBkw1l7u+NwaZx+8fA5P6Cxw/OxFan4wl/hEo1Dt6G41aFi2QOgAYLGnSw4s4Ym5T5CYZHCbt153q+uNnx0LpL3y/W9MWr3Pg8CwztVoGjcPfnJnXmQKgydWQf7SFqOk6qxAQIkG0yg6d787tgOG3Q6xZw1nC1eG/8yCCP8WXIxNiHXVZFh9aLUH9D41+9ChnDTwUlEEFAEnIyC/35P/nOxxoV3Zdn5pvZ0ezHS/SxMt6TIhIr2G5V5b8t/TnOgeMMbswGuNC2aiIXXv0NQYpPY5ueXH5ThYxuRYESQ/6XDuwctPAIXKMiOX7ObdaVtc7hbMGc2yVxoTHhbMHxW+i+yuU7t4aPpDnI0zvhQUylaIia0mkj+LPVtCxsQlcM+gpWw9lHzXGlblfJWI025O9tYOcG+qNnq+g041ZwABPXiZBs2Z+13cBfiqCRyWG56AtMOVugx5bzTtuBUDhTR9edHLzNwz06Pu0YqP8nRVd7FYKxZRHYqAIqAIXAMB3e+c8XgE87cHuQaRTCRkJBpyvSKUxJkHr1CKkJ98bTVwMZv/NgoD9rz9Jl5pIU1YVNKLgHSY6Di9I3vP7HVNzRKRhbEtxlIur73x3Hn0LG3+t4TzsQm0C5/PR5GS5OWuzfDUGshbMr1Q6Hg/IaAHL9NAO3O/+7k3rEv1kqndOLi5jWmnrRgo9WbkGtj4P6RutiFtSrbh/Xrv2+oqmBW+qg5FQBGwLwK639k3NqktC2aiwRkRsI+Vzjx42Qe/oLBk66HTNO+/2OPLnOcaUKpAjqDwzZ9OSIu3XnN6sfzgcs+y/Rv2p3FxZ9xdlnoNL0xaw/zo5yiS6ZjhQ5XOcPcX/oRR10onAnrwMg2Y8/a71AVZxc1avaD5h6YdtmrgV5u+YsC6AR51tQvXZlDjQUSGa7FgqzBWPYqAIpA2ArrfpY2RHUYo0WCHKNjDBucdvOyBW1BZ8f70LQxfvNvl061FcjHlyXpB5Z+/nPlk9SeM3ZJS5uWpKk/Ro5K7a4O/jPBynR+H9+XeA0aBudikcBY2+5UmdWp4qVWn+xIBPXiZRtdZ+93RP2FYQ4g7bzh4QzXoNhMiokw7bMXAH7f/yJvLUgqXl89X3lVvJltkNivUqw5FQBFQBEwjoPtdmlCNTHPE1QfIjYD/eDHfM1WJBitQDA4dzjp4BQfmtvIiPiGRWh/O49jZiy673r27PF1qawvD9Abp550/89qS1zzTmpdozscNPnZWWnHseZL+V5VMZ6TTL4yLb8wHYT34+cm6muGS3gfCj+P14GUabOfsd7HnYHhjOPqH4Vzm3NBzMeQuZtpZKwYu2LeAZ+Y/Q0KS0QK3WI5irqtg+bLks0K96lAEFAEbIRATH3NJ5pLUX8kckdlGFoLud2mG4/LuimlOSDXAslqFoUg0yCvauwEpmy454VfCQAB2Ro5zeh6ba491zsHLOp9VUyoE5m89QrfRRgXxyPBMrOpzJ3my+feNmdMDsunoJh6e+TCxibEuV6Qew5jmY8gamdVZri35HOZImRuIJYLbYz7nIPkoVSA7U56oS7boCGf5EyLW6sHLdKCds9/9+DhsnJDiWIdJULaFaUetGCidJXrO7un5XJNitl+3+JoiOYpYoV51KAKKgM0Q0PaWNgtIxsy5PWPTPLMWejnfNT2UiAbxdYS7vUey30IoXN6FQv5uGZNjRZD8pMM5By8/ARJqyzwxYR3TfzPeYDcvX4ghnauFGgRe+XvswjHaTW3HkQtHXHryROdhUutJXJ/9eq/0+n3y+RMwsDLEnHIt/VeZbtz+WxOPGW1uvZ6B7Ss7K0PD7yAGZkElGkzj7oz9bv04mPJEilN1noKm75l20oqBW45v4ZFfH+Fc3DmXuuyR2RnVfJTti9pa4bvqUARCFQElGkI18tb7HUpEgzSCHwSsAV4F5O/3yktHQMqotwM6A58Bg+V8bT3cttbojIOXrSF0rnGnzsdR44M5xMYbmVbDu1SnyS0FneuQny2PS4jjP7P+w/oj610rR2SKYFjTYdQo5MCaBrPegGUDDQSjc8LTG+m38AhDFu70oPpG61v4Tz3/ttTzc0gduZwSDabDZv/97vAWGH4HxF8wnCpaEx6eDn4surjn1B66zuzKiZgTxsdBeDRDmwylWkEloU0/aTpQEXAgAko0ODBoNjU5lIiGlcAtgFw6Pw6MAroA4alicz8wGWgLTLFpzHxllv0PXr7yXPUyfuVfvPbj7y4k8mWLYkWfxkSGhykyJhF4b8V7TP5TPjoM6VOzDx3KdTA520bDTu2HgVUhwajTQeM3of7zSP2OziNWsXyXfHRCeFgmxj9ak1ol9X62jaKnd1bNB8Pe+93FszC8ERzbZniUJa9RlyGX/64qHDx7kC4zu3Do3CHjdz5TOAPvGEiDIg3Mo6wjFQFFwJEIKNHgyLDZ0uhQIhpOA9Jrrpk7ElKNsysgl9CN6kaGrALklF3flhHznVH2Pnj5zm/VDNz35TLW/nXShUW3uiV4q015xcUkAj9s/4G3lr3lGX1PqXt4t867zrxaIGnakq4tkr0Q9F4PUUZ9CSkS2uZ/Szh4Ksb19/zZo5j2VH0K5bJXgSiTYQvKYZrRYDqs9t3vkpLghx6w6ZsUZx76DkqnXF8y7WUGB8o1sK6/dGXvmb0eDR/W/5DWJVtnUKNOUwQUASchoESDk6J1VVvnuUsByHfd/YD83axYVqswlIiGs8DPQEc3ytIQXq5PSH64u1G86yfjgVZAbrPRCJJx9j14BQnAdnVjz7FzNPzvAo95056qR4UbctnVXFvZJcUfJbU4LjHOZVeFfBUY3WK0K8XYcXLkD/iyDiS5CxW37g/Vu13ixoZ9//DgkOXEJhhjqhTLzaQetYiOSJ0Y5jjPg8ZgJRpMh9K++93a0TD16RRH6j0LdxqFWf0hpy6eotuv3dh+crtnOcdmaPkDMF1DEQhCBJRoCIqgykFNCIObAUmPS08XCstqFYYS0fAnIJXuGrofnxeBflL3Dpid6pGSsvty+Th/UDxm5p2w78HLvA86MgMIfDbrTwbO2+GaWbZgDmY+U9+Zb+Mz4Ls3U45fOE67ae04fP6wS03ezHmZ3HoyhbIV8kZtYObKW9RxbWGnm/DOVwp6rYTwf3eXmLhqL6/+sMljZ/saRfmwbUV9ZgITuUtWVaLBdBDsud8d2mS0sky+ulS8LnT5+Yq/h6Y9TcfAs7Fn6TG7B5uOpfx+S1u7Rys+mg4tOlQRUAScjoASDU6PoMv+4m4vDgDxqf5u1jlLahWGEtEw0d2ysrD7qsStgFRu2wjIZWoJRE/gI2Au4L88RbMh9+04ex68fOtzyGtPTEyiwSfz2X/SKDjWp2U5ejS4KeRxSQuA+MR4Hpv9GKsOyU0r4/7y8KbDnVn8URzYNgsmPJDidvsJUE4Su64sr3z/G5NW7/P88L17KtCpVvKelhZ6+nNfIaBEg2lk7bffxZyGYQ3hhLvoatb80HMJ5JQji+/lfNx5Hp/zOOuOrPMsJgSDEA0qioAiEFoIKNEQWvH2pbehRDQImSDXIu5xX6EQXKU5dXt3akkyzlKvoZ67VoMvsbebbvsdvOyGUBDas3LXcdoNW+HyLCwTLH+1MQVz6p37tEL92ZrPGLVZ6ska8lKNl+h8izStcaAkxMHg2nDcnSp9YwPjLWqmq28PF+MTaD9sBev3/uNyOCIsExO61+K2G/M6EIDgMVmJBtOxtNd+JxlF33WDzT+6HcgEnX+Am+4w7ZA3A2PiY3hy7pOsPCQ1sw1pX7a9q6htpmt8Dnizps5VBBQB+yKgRINPYlMd6A3UAeSN3vvA6z5ZyUZKQ4loENjl4rSkjyQXf4wEnneTD3ncd1g+BhbbKEb+MsVeBy9/eR3i67z83W9MXmO8mW5Q5jrGPnJbiCOStvuz9szi+YXysWFIixIt+KjBR849kK8cCr+8ZDiTKQweWwyFKqQJxOHTMa7ikEfOGB0qpDjkz0/W4/rcWdKcqwN8g4ASDaZxtdd+t2o4zHghxfjbX4ZGfUw7483A2IRYes/vzdIDSz1q2pZuy1u13yJMPg9UFAFFIOQQUKLBJyGX9LAngGXu751SKzAQRIN8F77P3fTgerenfwNLgO8Bo+K3RRJqRINFsAWlGnsdvIISYns5dSE2gRrvz+HsReHeYED7ytxd+QZ7GWkza3b9s4sO0ztwPv68y7JSuUsxvuV4skYanRkcJ+dPwMAqEGNkJlC1K9w10LQb6/aepP3QFZ7ikOWvz8m3PWuTNerftR1MK9WBGUZAiQbT0Nlnv/t7PYxoCgmxhvGSUdT5JwjzfYFVIRmeW/AcC/cv9ADXpmQb+tbtS7gf1jcdLR2oCCgCfkVAiQafwC3MbXJBxj2AtPjyN9FwJzAakDt5l3MAUgBS+hk/fFntQq/AUKLBK/iCarJ9Dl5BBat9nZmy4QBPT9rgMjB7dASrX7uTLFG+P9zaF5FrWyZ3mIVk2HVql2tgjsgcTGo9iWI5iznVJZjxEqwaatgflQN6r4PsBdLlzzer9/HS97955rSoUIhBHasSJndxVPyKgBINpuG2x34XcwqGNoCTcuYEshUw6jLkkGZYvpUrkQzNSjSjX/1+RIQpUehb9FW7IqAIeIuAw/e7QBANNQFhlaMAuScntQvdm4+rcKSUGKgFCOt9u3uMt2H6F5vhtUIHKPBryogD8Eg20R4HLwcB5nRTu4xcxaJtR11uPFi9CB/fL/VRVa6EQFJSEi8teomZe2Z6fjyw0UAaFWvkXMCkwr18yUluZykt9KSVXgbk3albGLl0t2fm041L82yTMhnQpFO8QcDhBy9vXE/v3MDvd1KX4ZvO8MdUw3a5ptBlipHR4GO5EsnQuFhjPrn9EyLD5EapiiKgCCgC9kbA4v2umrsJgNwflj/J6b1pvTGRu6Kvuuv9yVunE4AcFN9wNxm4GoiBIBpmuZsi9ALcb5j+ZV4PYIg7o6GZFU9AWgBasYaddPg9ZcROzqdhS+APXg4Cy+mmyv362h/OJVESpYBJPWpRq2Q+p7vlM/vHbRnHR6ulIY0hjq/GnpgIo1rAPqMQKHlLQq8VECE8bPolPiGRR8as8RBXouGLjlVoXSn5+l/6deqM9CNg8cEr/QY4Z0bg97sVQ2DmyymINXodbpeu276ViwkXeX7B85dcl1CSwbeYq3ZFQBGwHgGL97ufgLuvYOW1vidL5fT57iyAg+76fiXcRIW8xZPsACMF9t8SCKLhFLAVkMyGa4lkO5QDclkRtVAiGgKRMpJRpuvy2MoDea3ecTe7Hx5vnonAH7y8sV7npguBoQt38uEv8nkDRfJkYdGLjTTV/SoIbjiygW4zuxGfZNSyqFmoJkOaDHF2evGGCfDT4ykeP/Q9lBYeNuNy6kIc9w5ayq5j51xKoiPCXARWlWJSZ1fFHwhYfPDyh8mBWiOw+93+tTCyGSTGGf5Ldwn5HQzzbfHFC/EXeGb+Myz7W2qRGaIkQ6AeQV1XEVAEvEHA4v1OWN9swGr3H/neJW9ervU9+T3gNWA50BQ46/bnOeBT9zWFhlfxMRBEw0lgBvBQGrhLh0bpb57bm/gkzw0losHfKSPeMF2XxzaZaBhzlaBL2o6wad5IYA9e3liuc9OFgFwDaNZ/EdsOG5+JvRuX5jlNc78ihidiTvDA1Ac4cv6I6+cFshbgm9bfkC+Lg7M/LvwD/6sG548ZPt/cBtpJTSLvZdfRs9wzaCmnYwxSRjpR/NirLkXzOrRYpveQ+FWDxQcvv9ru58UCt99JAdaht8OpvYbLOQobnV6yX+dTCKTGzFPznmLVoVWedZRk8CnkqlwRUAR8iICP9zvpvHAtokHqHMjBUN76VwXWX+bqRqASIC0t114BhkAQDb8CkmZaMY2wbHJ/pxTyxGsJJaLB3ykj3jBdlwc2mWjwZbwCd/Dy+jFWBelBYNP+U7T5QrrYGLLghYaUyC9ErkpqBBISE+g5pycrDhrXCyIyRTCq+SgqF6jsbKBmvAirhhk+RGSBJ1dD7qKW+bRs5zG6jFhFvPteTpmC2fnu8TrkzKx3vy0D+SqKfHzw8rX5/tQfmP1O6jJM7ADbfjF8zRQOD0+D4tJW3XdyNvYsT8x9gnVH1nkWaV6iOR/U/0BrMvgOdtWsCDgWAe064WrxeC2iQQp0zQN2SgOyKwRaajS8C7wDvH2FnweCaJDaE4sAuQcsdiV3wEg2T75jiq2S3aHFIDPw2+vPlBFvma7L3VOiIQMB1ylXRuDtnzczeplRaLZ68TyuL4Eq/0Zg0IZBDNkoNXEMebnGy3S6pZOzoTqwDr5qnFIAsvGbUP95y336Zs0+XvoupRNF/dL5GflwDSLDfZsabrkjDlOoRIPpgAWGaFg6EGbL+dMtjd+C+pJl6zs5GXPSRZhuOb7Fs4i2sPQd3qpZEQgGBBxENFx0f9m/EuzlvYhFWkTDM8DnwLdST/0K68jVg2nAj0DbK/zcH0RDlyusW1fKjAF/Ad+7/yvD5Hq+2Ck1JoYDcr9urBf4eab68g25FfZZqcOfKSPeMl2X+61Eg5VPQgjrio1PpOYHczh53rgb/GHbinS4zcHtGX0Uy6UHlvL4nMdJwqiW2aR4Ez69/VMyZXLwR2ZCHAxrBIclKw7IVwoeX5bhApBpQf/xzK0MXiBkvyHtqhel330VnY1hWk4H+OdKNJgOgP+Jhr0rjQKsSQmGkaWbQofJPq3LcOjcIR6b/ZinJa8s27Z0W96s9SbhYdrK2PTTogMVgRBDQImGNDMaPgOkTZeQDVdii6WNm/SPlzQy6WghIvfjJFNAZLA7u2ASIIWt3Glulj5okrHgLvl+id7UB9nkn19+uJV/t2STcPCpOd3B8GfKiLdM1+XOJRMNL0nZKEAYvM1upszoT+i9+P/g5b3NqiGdCPy6+RCPfW1cF4uKCGPN63dqSvtlGMrhXOoy/HPxH9dPSuQswcRWE8kelT2daNts+JL+MOetFKMeng4l6vnMyMTEJJ6auJ7pm1LKx0gtEKkJouIbBJRoMI2rf/e7c8dhaH04fcAwMOcNRl2GbL6r9bL39F66z+rO3+f+9oDS6eZOvFjjRcKklaaKIqAIKAJXQcBBRIOkanmTuXC1ZyCtjAa5f9odeB94/QpK5DrFdvef5F7fUhhSulRcLpJdIJkEVotcg7gS0WB2Hble4bUEM9EQyJSRjDBd1wrm1bpOnAeeAkZ6/SSAfw9eFhisKtKPQI+xa5i15bBrYutKhfmio9SwUUlGIC4xztVhYuNRqeMDmcMzM77VeMrkSd4nHIrViV0wuDbEy94ppYu6wF3/87kzMXEJdPpqJWv+kptrhvz3gVu5v1oRn68digso0WA66v7b76SV7IQHYcdsw7iwCOj2CxSVdx++kc3HN9NrTi+kmG2y9Krci56VempGkW8gV62KQFAhoERDmhkNGSEaguoZMetMMBMNgUwZsfoBHOhmweRVtGQwlAQeAZ6WYwtwLzDFZNAlE+JKctMtt9wSvXnz1X5sUrsOsy0CJ87Fuq5NxCUYBOeobjVoVLaAbe0NhGGfrP6EsVtSrqX1rduXe0rdEwhTrFtTCtCNvRt2LzR0ZisAT66CLP5pO3nyXCz3DVnGrqNG28uIsEyueg0Nyvi2yr51ADpHkxINpmPlP6Jh8WcwN9WLoabvQR15P+AbkdaVz85/lvPx8h7CkFdue4WHbk6ro5lv7FGtioAi4DwElGhIk2iw+oWy8x4SkxYHM9EQyJQRq4mGq4VT0nZkrT+BciZjrkSDSaCCbdjopbt5e6pREOy6HNEsf+UOIrQ4nyfMc/fOdfWYTxYhGIRocLysHwdTnkhx4/5RUOFKtYl85+m+E+e5d/BSjp2NdS2SNSqcid1rcWtRS9o0+85wh2lWosF0wPxDNPy1DEa3TqnLULYVtB8PPqr1Mn3XdF5f8jrxSUZ7WemU827dd2lzUxvTwOhARUARUASUaEiTaLD6inzQPnTBTDQEMmj+Yrokm0EuQMtr6RsBo5VAxsQ/B6+M2aazLECg9f8W8/uB0y5NjzUoyastb7ZAa3Co2HdmH+2mtuNM3BmXQ6XzlGZ8y/FkkfaPTpZTB2BwLbhoxJ0yzaHDJJ990bkWVL/t/4f2w1ZwPtYohpc3WxTf9axNyTRIXaYAACAASURBVOscXvvCRs+HEg2mg+H7/e7sUaMuwxl3jZLcxeCxRT7JJEpKSuKrTV8xcL0kPxoin12fNfyMejf4rg6LabR1oCKgCDgKASUa0iQarC7678/nQzaFu+WoC+SQRstXWFxSnxtbYZQSDVag+G8d/mS6pAVJbUB6FC73wh3fH7y8ME6neofAHwdP02LAYo+SWc82oExB+XxRiU2IpfMvnT3t37JGZGVS60ncmEu4OweLXJkYdx/snGs4EZ0Lei2HXDcEzKlF247yyOjVxCca13duyJ2FH3rVoWDOzAGzKZgWVqLBdDR9u98lJhi/e7vcdb/CIuGRX6FIcvFx03amOVDqyvRd3pcfd0gXNUPyROdh8J2DqZC/QprzdYAioAgoApcjoERDmkRDFHAEyAVUcXeYSA2jFPqqJF3kAaMCe+BFvvOPALqmIhfkMHZ5Fwr5u3ad8DJectKWXqLJJ24pBb0UcJeE9lI7+JPp+sN9bUJaqaQ0rk+/C749eKXfHp1hIQLvTdvCV0t2uzTeWiQXU57Ut1zJ8H6w8gMmbp3oQfvjBh/T4sYWFqIfIFVrx8DU3imL3z0YqgT+nvaUDQd4epJ0fTKkbMEcTH6sFrmzyr6t4g0CSjSYRs+3+93Cj2G+FCN3S/OPoFZP08aZHShfBp5b8BwrD670TCmWo5iLZCieU9qiqygCioAikH4ElGhIk2gQUN8DXgPkhW9Td5tK+Xdpd/kpIIWxpNOEXeRxYBCwBngVkL9LjT+5ei+1/9oBnQHJypf2m9INw2sJtYwGqT4mIAuwl/d3Evbme+BJd8FFb8D1F9MlLV02ARfkJQZgXIDOmPj24JUxm3SWBQjEJSRS+8O5nvvxfe8uT+favuikY4Gxflbx655feWHhC55VHyzzIG/UfsPPVvhguX/2wuA6EGtcBQnklYkreTdiyW76TjPqhYhIrYbxj9Yke3SED8AIHZVKNJiOte/2u92LjOKrSVKPGrj5LnhwrOXXlXaf2k3veb3ZczrlxmSVAlUY0GgAeTL7p9CrabR1oCKgCDgKgRAkGloBqQ9/0hZIviOnsLggRbumpwqkpGIuAGq6r7FL2rAwvPJ3KdxfC9hlo8CLL7e4W2kel5rwgHRoDE9l4/3AZEAKeZltMnBNF0OJaJD0lhXyAs39xXyWu6aBEAzyrauZXGt0F1aUh+OUlw9HepkuITjkj+Q/CtOULC3BxazNu8weScmZJMcYQC5mSgcKb8R3By9vrNK5XiMwZ8thHh0rBCZEhYex6rXG+vYYkD7z7aa142zcWeP7QN6b+brl10SHR3uNeUAVSDu9r6XLxCLDjMy5odcKyFk4oGZdvvgnv25l0Pydnn+uc1M+VzeKzJGp9zxbmWx7Y5RoMB0i3+x3Zw7DkHpwTjJqhf4vYdRlyCzHD+tkyYElvLTwJU9NGdEsWVhSvNbxn1/WwaSaFAFFIIMIxMTHMGDdAM/sp6s+TeYIe11xtHi/e9j9xftaiHUDRl82QL43yne2jkBRQHoKz3STFvszCL+vpkmxLrliL993RUa6r1HIy3GjeJYhq4CLQH0rDAklouFD4GXg26tkLeQHvgAeBPoBfbwEOL1Ml3TJeAsYA8gDnyzJ/y4pLHLnR3pWSYpLVSkq7WbThIyQrAZvxDcHL28s0rmWINDz67XM3HzIpatVxcIMekgendCWiwkX6TyjM3+ckJtHkD0yO5NbT6ZYzmLOB2bpQJidiphvOxwqyceavUQK2L05ZTNfr0jJzrvz5gJ82akakdoNJUPBsvjglSEbHDLJ+v1O6jJIJsMedy2c8Cj4z2y4vrJlkMjvzOjNo+m/rj+JyRkTkv966+P0vLUnYZkuT9S0bGlVpAgoAoqArRDQ/S7d4ZC3aj+7SRGZLN955fpEQeBYKm3j5esCYElbsFAiGra6MxZKAXFXCU8ksMOdQSCZD95KepiuqxENUujxUaAGcL278IiwUlKPQR4GSX1JzURl1GbrD14ZtUTnWYbAiXOx1PxgDnEJRvG9UQ/XoFE5aVIS2vLeiveY/Kdkhxny6e2f0rSEXLFzuBzcCMMbQ6L7I85HadtWoZSYmMTz327kx/Up5XGEDBvQvrK2Xs0AyHrwMg2a9fvdvPdh0ccpBrT6FGrI1m2NnI09y5vL3mT2X7M9CqWzxPv13qdJ8SbWLKJaFAFFQBFwCAK636U7UH+6r3gk14140f1ivTmQsrHAancnQ3kB77WEEtEgb/zlWoKkt1xLJrhrODi8r126nw3rD17pNkEnWI3A6KW7eXuqcRf+uhzRLH/ljpD/Ajdzz0xeXCifr4Z0KNeBPjW9TWCyOnIZ0Bd7HoY1hGOyl0jTouvh8aWQNW8GlPlvSnxCIo+PX8fsLYc9i95T+Xo+fbAy4WGhtEV5j7kevExjaO1+t2Ou0WXCVagbKN8W7h9pWV2GHSd38OyCZy+px3B9tusZeMdAyua14p2Iadx0oCKgCCgCtkBA97t0h0GqnkvLSrlHKy+opYnAene2fAd3QwSpWvwRIO3KLGGwQ+kUJ/dm5KJ6Wq8tpXaDtCOx9+k83c9XmhOsPXiluZwO8AcCLQcsZstBSYCBxxqU5NWWUtIjdEXqMjw47UHOxZ1zgSB1Gca1HEeUpDk7XaY/D6u/cnuRCbpMgZK3O8Kri/EJ9Bi7loXbpH6SIQ9UK8JH91UiTMkG0zHUg5dpqKzb707/DUPqw3l35mnem6DHAsic07QxVxsoVyV+2vETH676kAvxKbcj61xfh371+2nRR68RVgWKgCLgVAR0v0t35IRMkEz4e9xXKESBvFxvn8KSu3QKCSGt6aRWg9cSSkSDpIU0cLe1NCrj/VukybUUypAqomkREl6DbzMF1h28bOZYqJrz+4FTtP7fEo/7c567nVIFsocqHFypLsM3rb+haE6p3+Nw+WMqTO6U4kTdp6HJu45yKiYugUdGr2bZTimGbEiH24ry/j0VlWwwGUk9eJkECqzZ7xLiYUwb2CvdzaRqUmZ4dA4UqmjakKsNPBN7hr4r+vLL7l8uGSK1GHpW6kl4mBZN9RpkVaAIKAJXRCA2IfaS66Xtyraz3QsZ3e8y9PBKtfP4VFfupWTA827yQdoVbQPkDqC72FCG1rhkUigRDVIwcRog/d6kS4OwOMl9oaQdiTA90nReXkO0Bi7d3b3H2u4arDl42d3LELLvjZ9+9xTaq1Y8D98/XieEvP+3q0Fbl+HkHhjSAC66G+UUqgSPzoUI52VpnI+N5+GRq1m1RxLQDGlfoygf3Ktkg5lfXj14mUHJNcaa/W7O27Dk85RF2wyAaqlrOZu255KBG49u5OVFL3PgbErtklzRufig3gc0KCLvS1QUAUVAEfAdAiHY3tJ3YIa45lAiGiTU0oJE+qBezW+5YCnl2qVDRaiJNQevUEPNpv7K2+Hb3p/D6RghLuGj+yrSrkYQdFTIIN5BW5ch/iKMbAZ/yzU76V+aHXoshPxS89aZcvZiPF1HrmLtXyc9Dug1CnOxVKLBHE6WEA3bZsGEB1IWrNQO7h3qVV0GeYs4eMNgRm0edUlXieoFq/Nh/Q8plK2QaQd1oCKgCCgCGUVAiYaMIqfzLkcg1IgG8V/qLzzlvn8iXRxE/naniQzCqLYZiqJEQxBFfcqGAzw9aYPLo6xR4ax67U6yR0s31NCToK7L8MvLsHJISlDvGwEV73d8kIVseHjkKtakIhvuq1qEj++vpAUirxFdJRpMP/re7Xen9sOQenDBTYblLwPd50N0xq+m/XH8D15b+hrbT273OCHtKqV1ZfeK3fWqhOnQ6kBFQBHwFgElGrxF0Nbz5fqEVC+u7+5mmPw9WO5af+/uvGiZA6FINFgGXpAp8u7gFWRgON2dh75awdIdxl13eRv8yQNSXDb0JKjrMmyZAt90SQlq9Uegdao0boeHW8iGR0Zdeo2iVaXC9G9XmcjwMId75xvzlWgwjWvG97uEOBjVEva762RFZIHu86DgLaYXTz1Qijx+ufFLxm4eS0JSSqfqYjmKuVpXVi5QOUN6dZIioAgoAhlFQImGjCJn+3l3AqPdnScu5wAkq/8QIPf/Ure79MqpUCIa1gE75XuXV4gF7+SMH7yCFxNHerbvxHnqfzzfY/t3PWtTvUSoNVEx3A/augxHtsJXjSH2rOFowYpGEbrIzI58Zq9m9DkhG0avZuXulJoNd95cgC86ViVzpBbDuxw3JRpMP/4Z3+9iTsMP3WHbTGOxuwdDlYdML5x64NIDS10FH1PXYpCfS8vdZ6o+Q9bIrBnSq5MUAUVAEfAGASUavEHPtnNrAgvlki2wEpB2l5fXKqwFxALSskzGeC2hRDRIP7spQEevUQtOBRk/eAUnHo716rPZ2xg410i/LXldNuY+dzuZMoXSr7oRusvrMkjV5Ndrve7YuHoMjzkFw++A4zuMf4rOabTTy3eT8327ggcXYhPo8fUaFm93tw+U1kGl8jGsc3Wyheh1oKsFWokG078C3u13iYmw/H9wfCfcJbWl0yf7z+zn0zWfMmfvnEsm3pD9Bt6q/Ra1r6+dPoU6WhFQBBQBCxFQosFCMO2jahbQGOgFDL2KWT0AuY8rGQ3NrDA9lL59yIX1w1YBZwX4NtPh3cHLZs6EqjkJiUnU/2gef5+KcUHwSoty9Lw9OL+AXivGQVuXQb7gTOoI21I1xekwCcq2COpH/mJ8Ak9NWM+sLfIRbkjlorkZ9XAN8mRzXncNXwVLiQbTyFqz3yUlpav44/m483y16SvGbB5DbKK8NDIkPFM4Xct3RVpXZpGrGCqKgCKgCAQQASUaAgi+75aW1mRbAclsuJZIJkM5IJcVpoQS0SAFID+R86kbaCvwCyYd1hy8ggkRB/oyf+sRuo026pmGh2Vi+at3UCBHcKXTpxWWoK7LsKAfLEjVFKfhq9DwlbQgCYqfxyUk8sK3G5myQWr3GlKqQHa+/s9tFM6lX84EDyUaTD/qft3v4hLi+Hbbtwz7bRjHY4zaOclS6bpKvFnrTcrmLWvaeB2oCCgCioAvEVCiwZfoBky3VC+eAaR112880ArIbYWloUQ0CF6SDnIv0A+YCux130WxAkun6/DrwcvpYNnV/u5j1zDb/da3WfmCDO0sTVZCS/ou78s3277xOP3p7Z/StERT54Ow+Sf4tmuKH2VaQPsJEBY6hRElY+etn39n3Ar56DbkhtxZGPuf27jpuoxX/Hf+w2F4oESD6Uj6Zb+LT4xn+q7prmKPl9dhKJClAM9Ue4ZWJVsh3SVUFAFFQBGwCwJKNNglEpba8au7y0TFNLRuAg4ClhycQ4loSC7nLD5LZc1rifw81HoB+uXgZemvjCq7BIFDp2Ko+9E85MuYyJhHbuP2MteFFEozds3g5cUve3yWomp9avZxPgYH1hmV7uMvGL7kvQl6zIfMlmS2OQqfpKQkPp+z3VOHRIzPkzWSr7pWp1rx0Cx6mhxAJRpMP8o+3e9iE2L5acdPjPx95L8Ihszhmel8S2cerfioFns0HS4dqAgoAv5EQIkGf6Ltt7VuAxYBHwHvAImXrSzfj98G5BCtxSAzEBaprJkWwZBa7Y0ZWMPJU3x68HIyME6xXQpASiFIEXnLu/ilRoSFhQ6XuPvUbtpPa8/5+PMuDMrnK8/YFmOJCnf4Hf5TB4zij2el6xAGufDoPMhfyimPpk/sHL10N29P3eLRHR0RxoD2VWheoZBP1nOCUiUaTEfJJ/vdyZiTfL/9eyb+MZEjF45cYkxEpgjuK3Mfj1V6jOuyhhYBbDoqOlARUARsgYASDbYIg7dGpOp/7lFVF3gU+Av43v1f+WFxoC1QAhgOLAPGemuAzA+dbyFWoBXcOnxy8ApuyOzjnWQxNPh4Pgf+Md54v9C0DE/eUdo+BvrYkpj4GDrO6Mj2k0a3jRyROfimzTcUyVHExyv7WH3sORjZHA79ZiyUKRw6/wAlG/p4YWeo/3nj37zwzUZiEwxiXpqrvNX6Fh6uG2o8sREvJRpMP7eW7ndbT2xl4taJrmsSUiMmtUihR7ke0bNST4rmLGraQB2oCCgCikCgEEhMSuTgOcmeN6RwtsK2u+Kl+12aT4ccjK70gj31d//kn1/OB8i/W9JDXImGNOMUMgMsPXiFDGo2cXT+n0foNipVEchX7qBAztApAvnWsrf4YfsPnmj0b9SfxsWki4+DJSHe6DCxXa7VuaX151D9EQc7Zb3pK3Ydp8fYNZyOifcof7hOCd5ofYurIGooiR68TEfb6/3uTOwZftn9iyuDYcvxlMyaZAuiwqK4t/S9dKvQDWlbqaIIKAKKgCJgHQK636WJpVyDSE8m/+UK5XqF1xJap7B/w5XH/U//eBkMrwNhAwVeH7xs4EPImiBftJJb/4VaEcgpO6bw+tLXPbHvcksXXqzxorOfBWmbN7U3rEuVuVbzcWghdWxVLkdg2+EzPDxylaetq/y8Udnr+F/HqmSPDp1yO3rwMv27keH9Tgo8vr3sbX7d8ysxCUYb4dSSN3Ne2pVtx4NlHyR/lvymDdKBioAioAgoAuYR0P3OPFaBHBmKRMNdwJNAHSC5J5rkm8t9lEHAlEAGJIBrZ/jgFUCbdWng8OkY6vRLKQI5ulsNGpYtEBLYyFWJjtM7eg780ipudLPRRIZHOtv/BR/Bgg9SfCjXGh4cC2GWZLI5G5urWC+/B4+OWcOmA9Iq2pByhXK4ikQWyZM1KH2+3Ck9eJkOs1f73cMzH2bt4bWXLFYpfyXal2tPsxLNnF8XxjSMOlARUAQUgcAgoPtdYHBP76qhRDSIryMA6Q+X7LdkMogk9wqVFJOvgW4hmOHg1cErvQ+ejrcOgf5zttF/jlGbIJSKQJ6LO+cq/rjntNR5hdzRufm2zbcUyubwYoCSxfDzUykPSNGa0GUKRCbzotY9O8Gm6XxsPM9N3sjMze7CmdKgI1sUXz5UlZol8wWbu//yRw9epkPs1X43dedU+izpQ67oXLQp2Ya2pdtSOk/o1MQxjbIOVAQUAUXARwjofucVsHKfTwpDJt/rOwAsBeS/lkooEQ3PAJ8BfwN9gYnAaTeaOYAOwJtS8wR4HuhvKdL2V+bVwcv+7gWnhXEJidTtN48jZ4wCZC82K8sTjYK/G4G0OHx50cv8sucXT2AHNx5M/SL1nR3ozT/Cd49AkrvrUL7S8J9ZkDW02zamJ6iJiUl8/OufDFm40zMtIiwTb91Vnk41i5FJKkYGqejBy3RgvdrvLsRfYOG+hdxR7A7NXjANuQ5UBBQBpyBwNvYs9/18n8fc7+/6nuxR2W1lvu53GQqHtDyS7P17gbDLNMjLdulEIVn/RzOk/QqTgvfE9W9npVpTMaAisPsqAEqp8k3AXuAWq0B2iB6vDl4O8THozJz+20GemLDO5VdUeBjLXr2D/Nmjg87Pyx2SCu8frEy5WtC9Ynd6V+3tbL+3z4GJ7SExzvAje0H4z2zII12HVNKLwPdr9/Pqj5uIjU9pFd3htqK8fVd5oiOC8wqKHrxMPyW635mGSgcqAopAqCGg7S2DMuK5gBVAWUBKBswCJCVYCAZpa9nMXVLgT6AWkHIP1Qs4QoloSAb17jTwkhoNTVPVb/ACXkdN1YOXo8JlGPvg0OWs2n3C9f/3VrmBz9tVdqAX6TP5t6O/0XVmV6Qom0iNQjUY1mQYEWEOLvr31zL4ui3EG+1JyZwbuv0CBUON70zfs5DW6PV7T/LY12s9GT8y/tYiuRjcqZrrmlGwiRINpiOq+51pqHSgIqAIhBoCSjQEZcQ/BF4Gvr1K1oJUL/5CvloAUnm8jxUohBLRIFkKK4EH0gDuO6AmEGoNr/XgZcVvlB91bD10mub9F3tW/KFXHaoWS26k4kdD/LjUyZiTPDjtQQ6dM+7gX5flOr5p842zq7vvXwtf3wMX3Te5JD2xy89QpJofkQ3epaRIpJANG/Yll+SBPFkjGdihCvVLSxZh8IgSDaZjqfudaah0oCKgCIQaAko0BGXEt7pfosv9anfq7L/8lErqOwBpqSSZD15LKBENA4BOgAB88irIyUVoAXg8kKoam9c4O0GBHrycEKVUNr724ybGrxT+DCrekIufn6wb1PfPExIT6DW3F8v+lgYxEJ4pnBHNRlCtoIO/kB9YC2PvhYvuDLXwaOj0Pdzo8FoTNvtduhifwLtTt3h+X8Q8KdXQ+47S9G5cmvCw4NgKlWgw/eDpfmcaKh2oCCgCoYaAEg1BGXFJmf0R6JiGdxPcNRwsSfsMjtOVuedBCj7OAyS/Woo9yv+nlkbAfwG50HsHcMac2qAZpQcvB4XydEwctT6Yy/nYBJfVH99fiQerB3cSzqANgxiycYgnSi9Uf4Gu5aWJjEPlwDoYK5kMbpIhLBLajYOyzR3qkP3N/m7tfoSgu5iqbkPtkvkY0KEyBXJktr8DaVioRIPpEOp+ZxoqHagIKAKhhoASDUEZcblnvcZdHuBaDkrthurStMsKFEKJaBBiQark1XYXvhDA/3KDKEUik3ufSaEMo4R/ikihjMZWAG5jHXrwsnFwLjdt1NLdvDNV6ptC7qyRrHi1MZkjg7PAnfgoFd6fnCeFcA25s9idfNbwM+dmcAjJINclYlKTDF9D2RYOegqdaermv0/Ra/w6/jp+3uNA/uxRrvomTr9KoUSD6WdS9zvTUOlARUARCDUElGgIyojPBhq421oK4XAlkRTh5cACE4SEKZBCiWhIKT1uCppLBgnRELzf4gxX9eCV/uciIDOkfV/jzxay+9g51/qPNSjJqy1vDogt/lh03+l9tJvejjOxRpJR8ZzFmdhqIjmiJEnJgfLXchj/ALj9QTIZHhwL5Vo60BlnmnwmJo5XftiEdG1JLd3r38gLzco6tiuFEg2mn0fd70xDpQMVAUUg1BBQoiEoIy6HzGnujP2BgFyRkK4TrqM10AGQ9m05gdZASv94L+AIJaLB2x5xydkPXsBt66l68LJ1eFKMm73lMN3HGmSkXC1f+GIjiubN6hDr02em9KvvNKMT205uc03MEpGFCS0nUCqPlFpxoOycBxM7pnSXkE4ZLpKhlQOdcbbJSUlJrpoN707bckkLzFsK53QViixVwF49w82grUSDGZRcY3S/Mw2VDlQEFIFQQ0CJhqCN+KtAXylTdRUP5cX6G4B0qLBEQolosASwIFaiBy+HBLfd0OWsdLe0bFGhEF92cnAxxGtgLl8EX13yKtN3TfeM+qTBJzS/0aE1DLZOh28fhoRYwx8p/Cg1GcpIN12VQCGw5e/TPD1pPduPnPWYkDkyjFeal6NL7RKEOahQpBINpp8i3e9MQ6UDFQFFINQQUKIhqCMu9Rek4UE94Hq3p38D0sZuELDaSu+VaLASTWfr0oOXA+K3af8p2nyxxGPp94/XplpxS+q12M77cVvG8dHqjzx2db6lMy/VeMl2dpoyaO0YmPYMJLlvcEVmg46T4Ea5LqcSaAQuxCbwwYw/+HrFpYlrdW7KxycP3MoNuS0pvuxzN5VoMA2x7nemodKBioAiEGoIKNEQahH3nb9KNPgOW6dp1oOXAyL2zKT1/LRBiEeoXDQ3P/aq49yCiNfAe9XBVfSY3YOEJKOrhrSwHN50OJFSz8BJkpQEi/4L899LsTo6F3T6Dore5iRPQsLWOVsO88oPv3HsrDvrBMgRHcHrrW92dXXJJD0xbSxKNJgOju53pqHSgYqAIhBqCJyPO88ri1/xuN2vfj+yRtrriq7ud+l+KtcBO4EH0j3Tiwn2PjV54ZhOTTcCevBKN2T+nXDoVAz1PppHfKJcoYIvOlahdaXkrCf/2uLL1Q6ePUi7ae04efGka5mCWQsyufVk8mVJbgzjy9Ut1J2YADNehDUjUpRmL2SQDIUqWriQqrISgeNnL/Laj78zc/OhS9TWK5WfD9tWtHU9FD14mX4SdL8zDZUOVAQUAUXAfgjofpfumEgF+SlAx3TP9GKCEg1egBdkU/XgZfOAfjRzK18uEDISVyr3whcbEhEeZnOr02deTHwMXWd2Zctxo3VnVFgUY1qMoUL+CulTFOjRF8/Ad/+B7b+mWJKvNHT6HvJ4W5c20M4F//pSH+SnDQd4c8pmzsTEexzOGhXOi83Kumo3hNuwdoMevEw/m7rfmYZKByoCioAiYD8EdL9Ld0w2AIeBZume6cUEJRq8AC/IpurBy8YBPXcxnjr95nHqQpzLytda3kz3BiVtbHH6TbtS8ce+dftyT6l70q8skDNO7YcJ7eHwphQrbqgOHb+BbA7LyggkjjZY+/DpGF77cRNz/jhyiTW3FsnFB20rUv76XDawMsUEPXiZDofud6ah0oGKgCKgCNgPAd3v0h0TKQD5idy8Brame3YGJyjRkEHggnCaHrxsHNSvFu/ivel/uCzMFhXO8j6NyZnZYfUK0sB35O8j+Xzt555RHcp1oE/NPjaOyhVMO7AOJnaAs6nS7su1hrbDICqbs3xRa10ICAH288a/efvnzZw8bxB9IpLR0K1OCZ5pUobs0RG2QEsPXqbDoPudaah0oCKgCCgC9kNA97sMxWQIcC/QD5gK7AVSilJlSOW1JynR4ANQHapSD142DdzF+ATqfzSfI2cuuizs0aAkfVrebFNrM2bWov2LeHLukyRh1J+oUagGQ5sMdVbxx42TYOrTEB+TAkKd3nDnOxAWXFdcMhZlZ886dvYiH0z/gx/WH7jEkYI5o3mt1S20qVQ44MUi9eBl+hnT/c40VDpQEVAEQg2BuMQ45FyWLA2KNLDdeUz3u3Q/lUZ1dZDv/sZh++oiP7fkDYoSDemOU9BO0IOXTUM7YeVe+vxopOFHRYSx5KVGFMiZ2abWpt+sXf/souOMjpyLkzo1cEP2G5jYaiJ5MudJv7JAzEiIh9lvwgppP+yWsAho9SlUezgQFumaPkRgyfZjvPbTJv46fv6SVWqXzMc7d5enTMEcPlz9EmsDPgAAIABJREFU2qr14GUaet3vTEOlAxUBRSDUEND2lkEZ8T0mCIbUjt9oBQpKNFiBYnDo0IOXDeMYn5DIHZ8uZO8J40tNp1rFeO+e4OlYcDLmJA/NeIh9Z/a5/MsSkYVxLcdRJk8ZG0bjCiadPQrfPwK7U5h/suSFB8fAjQ2c4YNamW4EYuISGLxgJ0MW7iQ2PtEzX65TdLytGM82KUPebFHp1uvtBCUaTCOo+51pqHSgIqAIhBoCSjSEWsR9568SDb7D1mma9eBlw4j9tP4Az0yWQrHGnfAFLzS0dXu99EAYmxBL91ndWXdEWvsa0r9RfxoXa5weNYEb+9cy+LbbpfUYpG1lu/HaWSJwUfHryn8dP8c7U7cwb+ulxSJzZo6gd+PSdK5dnOiIcL/ZpESDaah1vzMNlQ5UBBSBUENAiYZQi7jv/FWiwXfYOk2zHrxsFrHExCSaD1jEtsNnXZa1rXIDn7WTYrHOFymw9/rS1/l5588eZ56u+jSPVnzU/s4lJsKygTD3XUhKvvIGVLgP7voCorLa3we10FIE5mw5zHvTt7DnsusURfNm4cVm5WhdsTBhfmiHqUSD6bDqfmcaKh2oCCgCoYaAEg0hE/HkO8r/pPNahWmAlGgwDVXQD9SDl81C/OvmQzz29VqXVZkywexnG1CqQODuf1sJz4hNI+i/rr9H5V033cV7dd8LeDG9NH08ewR+ehx2zEkZGhYJzT6A27obgVIJSQTkCsWYZXsYOHc7Zy7GX4JBpSK5eKlZOeqWyufTZ1yJBtOPnu53pqHSgYqAIhBqCCjRENQRvwt4EqgjN5bdnl4AlgFSbGyKld7rqdhKNJ2tSw9eNoqfZDO0HLiYrYfOuKxqXr4QQzpXs5GFGTdl5p6ZvLjwRY+CqgWqMrzpcKLC/X+nPV1ebJ8DP/WEc0dTpuUqCg+MgSLBEZt04aGDr4iAdKcQskGKuMYnXlrYWQpGvtCsLNWK+6bQqRINph9K3e9MQ6UDFQFFINQQUKIhKCMu3/lHAF3dnSfESclkEMnt/q8cWr4GulmV4aBEQ1A+SxlySg9eGYLNN5Om/fY3T05Y71E+7al6VLghl28W86PWdYfXueoyxCYabXuLZC/ChFYT7N1hIu4CzHkHVn55KVJlWsA9gyFrXj8iqEs5BYFdR8/yya9/8svvh/5lcqOy1/H0nWWoXDR5b7fGKyUaTOPo9X43Y9NBbrouO2ULBUeWmWnkdKAioAgEPQJKNARliJ8BPgP+BvoCE4HTbk9lI+sAvAkUBp6XsmlWoKBEgxUoBocOrw9ewQFD4L2QThNN+y9i11Gj3WOrioUZ9FDVwBvmpQW7T+2m8y+dOXXxlEtTzqicfN3ya0rmKumlZh9O378GfuwJx7enLBKRGZq+BzUe1asSPoQ+WFSv23uST2b+yfJdx//lUkMhHBqXpkoxazIclGgw/dR4td/N/eMwPb5eS/boCEZ3q2FZ/ExbrwMVAUVAEfAhAko0+BDcwKneAhQDpHXd7quYIS0tNwF7gVusMFWJBitQDA4dXh28ggMCe3jx7Zp9vPjdby5jpH7crCCozXD8wnFXG8sDZw+4/IoMi3Rdl6hW0KZXDuIvwsKPYMnnkJTSvpACt8B9I6CgJZ+/9njg1Aq/ILB0xzE+/vVPNu5LzlRMWbZeqfz0anQTcrUikxd1PpRoMB3KDO93x89epP7H8zkfaxSCzRoVzvAu1albKr/pxXWgIqAIKAJ2RkCJBjtHJ8O2SR2GWcDdaWiQGg1NU9VvyPCCMlGJBq/gC6rJGT54BRUKAXZGCsrd8ekC9p+UzwNoW/UGPnvQ2Z0mzsWd45FfH2HLcSFTDfmkwSc0v7F5gNG+yvJ7V8DPT8GxbakGZII6T0Gj1yAysz3tVqtsj4B0W1nw51H6z9nGxv1GZk9qqVIsN080LEXjmwtkiHBQosH0I+DVfvfLpoP0nrSeuASjBkdUeBgDO1SheYVCpg3QgYqAIqAI2BUBJRpsE5nqQG934cabgPeB1zNonWQprAQeSGP+d0BNoGgG17lkmhINVqAYHDq8OngFBwSB9+Lr5Xt4Y8pmlyERYZmY93xDiuVzbrvE2IRYnpj7BCsOrvCA+2y1Z3mkwiOBB/tyC2JOGy0rV391aQ2cPDfCvUOgWC372awWORIBD+Ewd/sVMxx+eqJuhuo3KNFg+nHwer9btO2oqyvQhTgjs0Gyzz66rxIPVLfkbGbaER2oCCgCioDVCCjRYDWiGdb3NPCEuyPEPcAXXhANA4BOQCng5FUskqJjO4DxwFMZtjrVRCUarEAxOHR4ffAKDhgC58W5i/E0/O8Cjp656DLioZrFeP9euUrlTElMSuTlRS8jXSaSpdPNnXipxksZelvrMxSSkmDzDzCzD5xNXbgvE9R8DO54A6Kz+2x5VRy6CAjhsHzncQYt2MHSHUYNh9tuzMs3j9XOEChKNJiGzZL9bu1fJ+g2ajWnY1Lamb7YrCy9Gt5kr88407DoQEVAEVAEID4xnvVHUgqSVylQhYiwCFtBEyL7XRiQfH93DzDOC6JBCj7Ok/eY7mKP8v+ppRHwX/d6dwBG2zsvRYkGLwEMoumWHLyCCA+/u/LfX//ki/lCJEJ0RBgLX2xEoVzOTNOXL1AfrvqQiVulqK0hLW5sQb/6/QjLJJ+bNpFjO2DG87BrwaUGXVcO7vofFL3NJoaqGcGOwIZ9/zB4/g4eqlWc28tclyF3Q+TglSFsLptk2X73x8HTdB6xCmlrmiydaxXn7bvKEy5pDiqKgCKgCCgCliMQgvudt0SDEAvRgLzJkHt/J4C/3IGRIpH53P8vKcgpG5rxjzK+cUaCqLtgRlALzjmWHbyCEx7ferX/5Hnu+HQhUqNB5Kk7SvF807K+XdSH2geuG8jwTcM9K9S5vg5f3PEFkeGRPlw1HapjTsHCj2HlUEiMS5kYHg31n4N6z0KEfB6rKALOQSAED14ZDY6l+93e4+fpMnIle46f99jTrHxB+rerQpao8IzaqPMUAUVAEVAEroKAxfudVCZvIkmF7j83uJdN63tyFuBVoL27o4N8eZc03jcAo/q5deIt0ZCqsnm6jRKiIUObWVoAptsSneBYBCw9eDkWhQAZ/uSEdUz77aBr9QI5opn/QkOyRdsrTc0sNMN/G87A9QM9wyvkq8CIZiPIGmmDWhOJCbD+a5jbF84fu9SlUndCi48hn9TbUVEEnIeAxQcv5wFg3mLL9zvpRvHImDWX1NyoVCQXX3WpToGczsxMMw+njlQEFAFFwL8IWLzf/XSVbgzX+p4sH+zzASngJQf4xUAJN1Fx1P3vuyxExVuiobiXtiRnP6RLjRIN6YIrqAdbfvAKarQsdG7NnhPcP2S5R+N/H7iV+6sVsXAF/6ka/8d4+q3q51mwdJ7SjGo2ilzRufxnxJVWkjoM22fB7Lfg6B+XjshVFJq9DzffBV60Fgysg7q6IgAWH7yCGVKf7HfnY+N5csJ65m094sGucK7MfNW1OuWvD/BnYDBHU31TBBSBkEPA4v3uZSAbsNr9R77US1rrtb4nvwe8BsgBXtpBnnUH4TngU2Ah0DBVYHIDabUmkrQ46Q5xJfGWaAjIM6JEQ0Bgt+WiPjl42dJTGxmVmJjE3YOWsumA0equ4g25mPJEXcIceLf3mz+/oe+Kvh50S+Qswajmo8ifJcD95fevMQiGv5ZcGnnJsJArEtK2MlKy31QUAWcjYPHBy9lgXNt6n+138QmJ9J22hTHLU17+ZI0Kd7Up1vaXwfxIqW+KQPAgcD7uvKtjWLIMajzIHlmpqSD28X4XkwbREAUIoywMclUgpXKmYeNGoBIg7SnXus3uCXyZxlNyOTmRergSDcHzKxaSnvjs4BWSaJp0euKqvbz6wybP6G971qZGCeku4yy5nGS4Ptv1jGkxhkLZ0iJvfejnwY0w/wPYltL1wlgtE1R6EBq/BbmSr+H50A5VrQj4CQEfH7z85IVflvH5fjdm2R7embqZRLnZ6pYnG5Xi2SZltEikX0KsiygCikBGEdD2lqRFNEiHBimuuNPdLvJyqKVGw7vAO8DbGY3DZfOUaLAISFUTGAR8fvAKjFv2XfXI6Rgaf7aQM+7WaK0qFWZQRyFGnSWXkwwFsxZ0XZcomjNA/eQPbTIKPf7x87+BvOkOuPMdKCxEs4oiEFwIKNFgOp5+2e8W/HmEpyas58zFlPaXDctex4B2VciV1SaFcU1DpgMVAUUgVBBwENEg3RHky/6VpLwX8UqLaHgG+Bz4FnjwCuu0AqYBPwJtvbAj9VQlGiwCUtUEBgG/HLwC45o9V+01fi0zNh1yGZcjOoI5z99OQYcVDZu0dRLvr3zfA3BASYYDa2HRf+HPGf8O+PVVofEbIESDiiIQpAgo0WA6sH7b73YePUuPsWvYefScx7iiebO4SOVKReTKrooioAgoAvZCQImGNDMaPgOedZMNUpPhcrkV2ACsA6SjRUZFel3f7p48GFgETAJkQ/klo0r9OU9rNPgTbXuv5beDl71h8I91s7ccpvvYNZ7F3runAp1qeVsQ1j+2J6/y1aavGLBugGfRgJAMUuRx13xYOgB2Lfg3AAUrQKPXoGwLLfTo38dDVwsAAko0mAbdr/vdmZg4nv9mI7O2HPYYGBmeiVdb3Ey3uiXIpEVoTQdOByoCioDvEXAQ0bAF8CZz4WpgppXRMAzoDsibttevoKQUsN39p4wXEZNiktLZ4nKRIkDS4cL2okSD7UPkNwP9evDym1c2XEgOnU0/X8TBU/I5BjVK5GFyj9qOKQCZlJTkIhhG/D7Cg67UYhjZdKT/rkvEx8KWKbBsAMhViculYEVo8ILRSSIszIZPgZqkCFiPgBINpjH1+34nhX8HL9jBZ7O3XVK3oektBfnovkrkySa1xVQUAUVAEQg8Ako0pJnR4C+iIfAPg5cWKNHgJYBBNN3vB68gwi5drrz+0ybGrTC610SFhzHj6XqUKpAjXToCNTghMYEPV33I5D8ne0wonrM4w5sMp3D2wr4369wxWDMKVn8FZ41rJ5eIXJG4/SUo01wzGHwfDV3BZggo0WA6IAHb75bvPM7Tk9Zz5IxcLTakQI5oPr6/Eg3LFjDtgA5UBBQBRcBXCCjRkCbR4K+rE74Ksd/0KtHgN6htv1DADl62R8ZCA+dsOcyjqa5MPHNnaZ6505usKguNS0NVTHwMry5+lTl753hGls5TmmFNhvm2haVcj5AWlUIubP4RElIO6B5DSjWBuk9DiXpKMPjvkdCVbIaAEg2mAxLQ/e7Y2Ys8O3kDi7cfu8TgzrWK82rLcmSNijDtiA5UBBQBRcBqBJRoSJNoCEQxSKvD7Bd9SjT4BWZHLBLQg5cjEPLSyMOnY2jefxEnz8e5NN1SOCc/PlGH6IhwLzX7fvo/Mf/Qe35v1h9JaRVcKX8lBt85mFzR0kbYBxJzCjZ9B2tHXfl6RHgUVLgfaj8BhSr4wABVqQg4CwElGkzHK+D7nVylGLl0Nx/P/JPYhESP4cXyZuXDthWpWyq/aWd0oCKgCCgCViKgREOaREMg2ltaGWK/6VKiwW9Q236hgB+8bI+QFwbKobLLyFUs2WG8wcocGca0p+pTqkB2L7T6Z+q+M/voNacXe05LZx1D6t9Qn//e/l+yRma11gjJXti7HNZ9bWQvxF/4t/5sBaDGo1C9G2TXVGNrA6DanIyAEg2mo2eb/e7PQ2d4ZvIG/jh4+hLjH6xehNda3qJtME2HVAcqAoqAVQgo0ZAm0SBFdY4A8qatirvDRGr4NwLSR706sNaquDhRjxINToyab2y2zcHLN+4FVuuwRTv5YMZWjxHyxqrDbcUCa5SJ1VcdXMVzC5/j1MVTntH3lb6P12u9TkSYhem9J3bBxsmwcSL8I8V0ryDF60GNR6BcG4jQwmkmwqdDQgwBJRpMB9xW+93F+AQGzNnO0EW7SEhM8jiRP3sUr7S4mbZVbnBMsWDTEdCBioAiYFsElGhIk2iQ2L0HvAYsA5q6W07Kv0u7y0+BhYB0jQhpUaIhpMN/ifO2OngFU1hW7jrOQ1+tJN59gGxevhBfdqpq+5Zmk7dOpt+qfsQnxXvC8UTlJ3is0mPW2H7msJG18Pt3sH/1lUOeJQ9Uag/VukKBm4PpsVBfFAHLEVCiwTSkttzvfj9wipe//43Nf1+a3VCteB7euas8FW7w0TU107DpQEVAEQgFBM7FnaPrL109ro5pMYZskdls5brF+10r4I1UDt4GyHfklan+rS8wPdXfMwPSV70mcBBYDEifevn7UaAWsMtWoAXAGCUaAgC6TZe05cHLpliZNmvfifPcPWgpJ87FuuYUypmZmc/UJ3dW+76Rj02IdREM32771uNndHg079R5h1Yl5bPYCzl7BP6YClt+gj1LICnlbnKK1kxQsiFU7QzlWkNEtBcL6lRFIHQQsPjgFczA2Xa/i09IZPji3QyY+//2zgTcrqo8/787Z7qZSEISSEgIM2FSRqECzootVnHWAtapLdU61Epp/+DQSYRS6V+t0lZb64C1DkUFUQEFFGSeJEAIUyBkTm5yc3PHPu85aycnJ2fY59597j377Hc9z3nOveesvfZav2+dvdZ+97e+9Qh9A7uvj60tcM4L9+fDLz+U+TM0v3UyARMwgewSSHi8Ow/49yo0zwe+UpRnMnAh8DZgEbARuDaIFs9k1zp7zOiNwQRyBBp24pVW+2zfOcgbvnArD6/pyTWhs72Vb733ZI5bPKthm/RMzzN85KaP8NCGh3bVce7kuXzuJZ9j+ZxRBlzc9AQ8/CN4+Bp4Uh5mu12D9wAx9zA45q1w9Jtg+sKGZeSKmUCjEkh44tWozUyiXg0/3q3evINPX/MQP35gz218Fd/n3acdyPtOP5DuSR1JsHAZJmACJpA6Ah7v0mEyezSkw07jUcuGn3iNB4SkzqHgj3/0X3dy3YPP7yry8jcdw+tfsH9Sp0i8nBueuoGLbrmInv68MKK0fJ/lXHHmFew7dd/45xsegtV3waPXwYofw/MPlD92xiJY/gY46hzYd7m3poxP2TlNYC8CnnjF7hSpGe9++eg6LvnBg6xct32Pxs2c0sF7fudAzn3REqZ1JRgvJzZCZzQBEzCBiSPg8W7i2NdyZgsNtdBq7rypmXg1uhlGRkb41DW/zW1dFqX3vfhALnxNY8YY2DG4g8vuuIxvrfjWHmjffOib+dgJH6NT20hWS9vXw8obYOXP4NHroXfP/eH3OFziwhFnw+G/B/ufAK2t1Ur39yZgAjEIeOIVA1I+S6rGOy2n+OZvnuaKnz7C+m35ZXhRmjWlg/e+eBnvOHmxPRxim98ZTcAE0k7A4106LGihIR12Go9apmriNR5ARnuOy36ygit//tiuw888dC5XnXsCbVpk22DpwQ0P8vFffHyPrSsnt0/m4lMurhyPYWAHPPVrePzG/Os57eRTZkmE2jznUDjsNfmYC/u90J4LDdYPXJ3mIOCJV2w7pnK827ZzkC/dtJJ/vXkV2/uH9mhsd1c7bz/5AN516hLmTXcMh9g9wRlNwAT2IjA0PMSjmx/d9fnBMw+mrbWtoUh5vGsoc5StTOPd+aSDWzPWMpUTr0YzxOdvfIzPXLtiV7WO2m8G//Wek5jeYGtpFfDxqvuv4sv3fXmPXSUOmXUIl774Ug6ceeCeaAf6YPUd+QCOej19OwztLI+/pQ0WnwKHvAIOfQ3MObjRTOX6mEDTEfDEK7ZJUz3eKbjwl3/5OF+99Ql6iwSHzrZWfveYhZz3oiUctb93qYjdI5zRBExgFwFvb+nOkBQBCw1JkUx/OameeDUCfj1l+tQ1u4MoHrpvN99878nMmhpj6cE4NuDutXdzya2X8PiW3bvutNDCeUeexwXHXZBfKtG7Mb/l5FO/ynsuKOZCJWFB9e9eAMteCge9FJa9BCbPHMdW+VQmYAIWGmL3gaYY7zZs28lVN6/ia79+kp6+3dsQRxSOWzyTPzjlAF69fAGTOhrraWRsSzmjCZjAuBOw0DDuyJv2hBYamta0NTesKSZeNbc6gQMU+PEz163gizet3FXakn2mcPX7T2Fed+O4sG7u28yVd1/J1Y9cvUer50+Zz98e8YecsGNHXlyQt8KG3S5zZRF1ToMDToUDT89vRznvCC+JSKA/uQgTGC0BCw2xyTXVeNfTN8A3bn8qt6Ti+a17e5p1T2rndcfux5tPWMSRC6fT0uKpX+ye4owmkEECFhoyaPQ6NdmjTZ3AprDYppp4jRf//sFh/uI79/Hdu1fvOuV+MyfnRAa9N0IaGB7g6hVX8/l7Po8Gjyjpx/+W4al88NknmTrQW72qHVNg0Umw5LT8S7EW2ry9WnVwzmEC40PAQkNszk053mk8+vEDz+WWVNz11OaSMA6eN42zj13I2cfux6LZU2IDc0YTMIHsELDQkB1b17ulFhrqTTg95TflxKue+LVO9k+/cRe3PLZh12kOm9/NV84/kfkzJt6TYWTHZn7+4Ne58tFvsbJ/4x4olvX3c8n6jRy7c88I5ntkmjIHFp8cXqfAgmMsLNSzQ7lsExgjAQsNsQE2/Xh3/zNbcksq/ve+Z/eK4xBROmb/Gbxq+QJevXw+S+ZMjQ3PGU3ABJqbgIWG5rbveLbOQsN40m7sczX9xCtJ/Lev2sgHvnE3a7b27Sr2Rcv24YvvfOH4B37cuQ3WPwLrVsC63zLy/EPcunkFV3bu5MGurj2aPW14mPdv2sLbtvawhy9CawfMXw4LXwCLTsy/Zi31UogkO43LMoE6E7DQEBtwZsY77VTxw/ue5eo7nuHOJzeVBaSYQi85fB4vOWwexy2aSXubtx2O3Zuc0QSajICFhiYz6AQ2x0LDBMJvsFNnZuI1Fu6Kx6CdJS6//hGGC3ZzlCvqpeccQ2d7nSZnw0Ow5WnYsBI2PJZ/rX80/9r6TK5J2uzsximT+bcZ07lv0p4CQ8vICK/ftp0LNm5mzkgLzD0MFh4LC46FhcfB/KOgY+K9MMZiGx9rAlknYKEhdg/I5Hj31IZevn/Par53z2pWrtteFtaMyR2cetA+nHbQXE47aA6L9/ESi9g9yxlNoAkIWGhoAiM2SBMsNDSIIRqgGpmceNXC/YHVW7joew9w79O71752tLXw8Vcfntu7fMwBtvq3w+anYNOTsGkVbHoCNq6CjY/n/x4eKFnd3pYWrpk2lf+c3s0TnXvHTDhjeBIXzDqWQxedCvOPhnmHQ0djxI+ohb/zmoAJVCZgoSF2D8n0eDcyMsKK53v48f1ruO7BNTy8pqciOMUbOunA2Zy0dDYnLJnN0jlTxz7exTaVM5qACYw3AQsN4028ec9noaF5bVtryzI98aoEa2vfAJf/5BH+41dP7OHFsGj2ZP75rS/gmEUxtnEcHobeDXnvgy16rc57KEhYyL0/Db3ra7LZis4Ovt09LScybG/d25Pi5LnH8qfHf5Sj5x1TU7nObAImkE4CFhpi283jXQGqJ9Zv52cPr+WGh9dy26oNDAwVuOuVQDprSgfHLZ6VW2Jx9KKZHLXfDGY32DbOsXuCM5qACexFwEKDO0VSBCw0JEWydDl6bHyhgvsDiwFF5LsW+Gtg9zYF8eowC7gEeB0wH1gDfDd8Vjq8dLxyo1yeeBXx0pZhit6tfco39+7pTaClEp88ezkzJrVD3xbYtha2rcm/9zwHW5/Lv+f+Xg09a2CoQuDFmLZaM2MhP5o9lx+1DbBiaNteR7W2tPKyxS/j/OXns3zO8pilOpsJmEAzELDQENuKHu/KoNK4d9vjG7n5sfW512Nr9x5nSh0qrwdtnXn4gujVzaJZU2ht9TQzdq90RhNoEAIWGhrEEE1QDY8A9TOiFrzfAJwMPAf8ElgCnAisC58/HvP0c4BfAQcBOuYO4MjwegQ4JYgYMYsrmc0Tr4Bl7cbN/OBX93P9bx6is38js9nKPi09zG7ZytJJvZw8f4R9RjYHceF5GNp73/JRG0JBGWcugllLcsEYR2YewKop07hx51pu2PgA966/nxH2ftrU3dHNa5e9lncc/g4WT5em5WQCJpA1AhYaYlvc411MVM9v7eO2VRu5fdWGnADxaEzhQcVP6mhl2dxpHLJvN8vmTmXpnGm5ZRdL5kxhSmd7zBo4mwmYwHgTsNAw3sSb93wWGupn208DFwWB4BVA9Fjgw8BlwE3AGTFP/zXg7cD/AG8GBsNxnwP+FPgqcF7Msspla66Jl5Yq7Nyaf+3YDH16bdn9945N+b9z7xsZ6d1I39b1tOzYyKSR3TtJjJHp3od3ToMZ+8P0/fLvEhVmLM6/zzwAuuezqX8rt6+5ndueu41fP/drnu55umw1jppzFG885I28cskrmdLhgF2J28sFmkCKCFhoiG2s5hrvYjd77Bm39A5wzzObuevJTdzz9GYUu2jD9tq99eZ2d3HA7Cksnj2F/WdNZr9Zk9l/1hQWzpzM/OmTmNzZNvbKugQTMIFRERgYGuCHq36469izlp5FR9veMcBGVXhCB3m8SwhknYux0FAfwJ3AWmAG8ALg7qLT3AscDRwP3FmlCgsAbSsgcUGPqp8vyK+tBXQXOhtYGM452hZN/MRLOysoIGL0GtgO2rox939P+Htb/l0CQv826JOYoO/02lrw/1Yo8eR/tHCqHtfaDlPnQfe+0L0gJxjsep++MC8s6PNJM/bYMrJ/qJ/HtzzOA+sf4N5193Lfuvty/1dKi7oXcdaBZ/Gapa9h6YylVavmDCZgAtkg4IlXbDtP/HgXu6qNnVGBJZ/b0sf9q7fw2+e2hlcPT23sHVPFZ07pyAkO+06fxLzurty7xIk507py7/tM62SfqZ257aS9PGNMqH2wCaSSgMe7dJjNQkN97HQm8HNgZVjuUHwWxWj4JPCJEGOhUi3OB/4N+BnwshIZ/xV4F6B8XxlDc8Y28Xr2blhzPwz0weCOPd+L0yX3AAAgAElEQVQHemFAn0Xv0d/hfwkJ+m6wjp4EowDT3zaF9mlzaZ26D0ydkxcScu9zYZr+Du/T9oXJs6FEQMbotNsHtvNMzzM8sfUJntjyBKu2ruKRTY+wavMqBkciB5XylTx89uGcsegMTl90OkfMPsIRv0dhTx9iAs1OwBOv2BYe23gX+zTZzdjbP8jKtdt5dG1PbrnFqnXbeXz9Np7Y0Ev/4HBiYNpaW5g1pRMFqNS7BAq9tEVn9Jo+uYPuSe05UWLapHamdbXT3dXB1K422tvqtCV1Yi10QSZgAqUIeLxLR7+w0FAfO/0Z8I/At4E3lTjFWcA1IZjj66tU4Qrgg8ClwMdK5P0T4J/D+bQsY7RpbBOvn14CN6vJjZd2MInNI1PYPDKVrUxly8hUNo9MYzPT8n8zjU0j09jWNp2DDziAlx1/OCcecRBtnZW3gBwcHmRb/za29G9hU9+m/GvnJtb1rmPdjnW59zW9a3h227Ns3llbvM45k+dw0oKTOGn+SZyy8BTmT1X8TycTMAETKE/AE6/YvWNs413s0zhjMYGh4RHWbO3jqQ29PLVxe87zYfWmHazevINnNu1AMSGGK296kSjUrvbWnPAwpauNqZ3tuSUb0fvkjjZyr842ujpac39P6mhDx+hdMSi62tvobGulsz3/0ne73tva6GhvoaOtNbzyf7e3tvhhQaJWdGFZJODxLh1Wt9BQHztdDnyows2/9hu8B7gLeGGVKiguw+8HsUExGYrT2cD3QvyGN4yhOWOaeN31/Y+yaYVCSYw9aY4x3NLKUEsnA61duddgSwf9LV3spJMddNJHB70jHWwb6qBnqJ2eofz/+e/yeaJ8enbS0qJSR6BF/w2H9xGmdMKSuZNYOmcSC2d1MsIgA8MDaEnDzqGduVffUB99g330DvSyY3BH7r1noCf3dxKpo7WDg2YexNFzj+aYucfk3hd3L/ZEJAm4LsMEMkTAE6/Yxh7TeBf7LM5YM4HBoWHWbduZW46xZksfa7f28XzPzpwAsX5bP+t6drJ+2042bu9HokVak8SG9rYWOlpbc+/yrIg+a29tRZ4a+r/wXX+3tuSP07v+b2tpyS0dyb+z63N9n3+Ry9cS/o4+y/+f/17Ht7RAC+H/lvC/3smXmf8+v/JTx0b5Cz9Xvijl8kT5c++7y8gdrM/C9/m/w2fhPLnPQnHRd8oSnUHlRWXsPufu3lB8bEHV9uoyUVnF5RVnLCxjV51KdMCK54rZYSuVUbmI+t3Wjb5O5WusbXFPWKLV37Unj3e1M5uII+rXIyeiNY1zzi8B7wH+BvirEtXS7hGPhtchVar9E+DlobyrSuTVcorrw0tBJ6ulB8tkWHbEEUd0Pfhgua8rF/uh/zyXnw5LN3EqR0CCggSEJTOWsGT6EpbNXMahsw/NxVnQd04mYAImMBYCnnjFpmehITaqxsw4PDxCT98gG7bnRYdNvQNs6u1nc28/W3YM5Lak1rteyqdtO7f2DbJ95yC9/UON2SjXygQahUBLP5Pm6xlmPvWteR2MKPxcsumkpbP51vu0cV7tyeNd7cwm4ggLDfWhnjmh4Z3f+RT3bLu6PjQbvNTWllZmds1kVtcsZk6aydzJc9HSh7lT5jJvyjz2n7Y/C6YuyP2vvE4mYAImUA8CnnjFpmqhITaq5ssor4ntO4fY1p8XHvKvIRRXQiKEXjsGhtjRP5h71/99A8Ps1GcDQ7kYE32D+c/0987B/Gc7B/P/9w/tfh9Jr9NF8xneLYpPoHUH3YcqjFw+9ay4GIYrLyeOX/junBYaRkMtXcdYaKiPvTK3dOKj136Bnz/7g5I0y3WyyLUud1CRS5zc0iKXvLzbXv7/tpbW4Aq4+z1yM8yvfWzN5825ACpP/n+9t7W05f5ub2nP/d3W2pZ7b29t3/XqbO2ks60z52Gg98ntk+lq68q9pnZMzW0hqc+mdUxjeud0uju7c59ZQKjPD8mlmoAJxCdgoSE2KwsNsVE541gIaHlHJD5I4BgYGmEg9z7MYPhOeQaHhxkc0vtIbkmIXsozPLL7M30/NDKCvDmUT99FeSVo6Dv9r++1qiTKO0L+f+XXd8ob/a9dQ6K8eVFEefJ5c8tY9T4CypdbgBrKCVnRp/nv83nzJeT/11+573L/7z5+d549VZh83lBG+CoSaqLzRMfuOlEwTnRc7vvo2Oi7ArWnWPcpFIIqakIVyijsH5WEpcI6VupToxWnRntcqboMt/SyesZHd321cMtnaR1Jfgv1o/ebwT+co034ak8e72pnNhFHWGioD/XsBYOsD0eXagImYAImEJOAJ14xQYGFhtionNEETCBrBLb2b+XUb5y6q9m3vPWW3MO1Rkoe7xrJGuXrYqGhPnbK3vaW9eHoUk3ABEzABGIS8MQrJigLDbFBOaMJmED2CFhoyJ7N69ViCw31IauIKWuBGcBxYYeJwjPdC8hX6HjgzipVWAA8AwwCi0K50SFdwNOAQrYuLPqu1pb5CU+txJzfBEzABBqIgIWG2MbweBcblTOagAlkjYCFhqxZvH7ttdBQP7afBi4CbgW0G8T2cKoPA5cBNwFnFJz+AkCv7wIXFlVL+0a+HfgO8JYgOijLPwEfAL4KnDfGpnjiNUaAPtwETMAEJpKAhYbY9D3exUbljCZgAlkjYKEhaxavX3stNNSP7STgRuAk4Dngl8AB4f91wMnA4wWnvwS4uIxoMAf4NbAMWAncARwJLA9bZKqsjWNsiideYwTow03ABExgIglYaIhN3+NdbFTOaAImkDUCFhqyZvH6tddCQ/3YqmTtBSPvhLeFZQ8SA64F/joshyg8eyWhQfm0PEJ5XgfsCzwfvB8kTmxOoBmeeCUA0UWYgAmYwEQRsNAQm7zHu9ionNEETCBrBCw0ZM3i9WuvhYb6sU1byZ54pc1irq8JmIAJFBCw0BC7O3i8i43KGU3ABLJGwEJD1ixev/ZaaKgf27SV7IlX2izm+pqACZiAhYbR9AGPd6Oh5mNMwAQyQcBCQybMPC6NtNAwLphTcRJPvFJhJlfSBEzABEoTsEdD7J7h8S42Kmc0ARPIGoGe/h5e+d+v3NXs6865ju7O7obC4PGuocxRtjIWGtJhp/GopSde40HZ5zABEzCBOhHwxCs2WI93sVE5owmYgAk0HgGPd41nk1I1stCQDjuNRy098RoPyj6HCZiACdSJgCdescF6vIuNyhlNwARMoPEIeLxrPJtYaEiHTSaqlp54TRR5n9cETMAEEiDgiVdsiB7vYqNyRhMwARNoPAIe7xrPJhYa0mGTiaqlJ14TRd7nNQETMIEECHjiFRuix7vYqJzRBEzABBqPgMe7xrOJhYZ02GSiaumJ10SR93lNwARMIAECnnjFhujxLjYqZzQBE8gagZGREXoGenY1u7ujm5aWxlpt7/EuHb2ysXpNOpg1ay098WpWy7pdJmACmSDgiVdsM3u8i43KGU3ABLJGwNtbZs3i9WuvhYb6sU1byZ54pc1irq8JmIAJFBCw0BC7O3i8i43KGU3ABLJGwEJD1ixev/ZaaKgf27SV7IlX2izm+pqACZiAhYbR9AGPd6Oh5mNMwAQyQcBCQybMPC6NtNAwLphTcRJPvFJhJlfSBEzABEoTsEdD7J7h8S42Kmc0ARPIGgELDVmzeP3aa6GhfmzTVrInXmmzmOtrAiZgAvZoGE0f8Hg3Gmo+xgRMIBMELDRkwszj0kgLDeOCORUn8cQrFWZyJU3ABEzAHg1j7AMe78YI0IebgAk0LwELDc1r2/FumYWG8SbeuOfzxKtxbeOamYAJmEBVAl46URVRlMHjXWxUzmgCJpA1AhYasmbx+rXXQkP92KatZE+80mYx19cETMAECghYaIjdHTzexUbljCZgAlkjYKEhaxavX3stNNSPbdpK9sQrbRZzfU3ABEzAQsNo+oDHu9FQ8zEmYAKZIGChIRNmHpdGWmgYF8ypOIknXqkwkytpAiZgAqUJ2KMhds/weBcblTOagAlkjYCFhqxZvH7ttdBQP7ZpK3lrV1dX97Jly9JWb9fXBEzABEwAWLlyJTt37uwBphtIRQIe79xBTMAETKAMgeGRYVZtWbXr26UzltLa0tpQvDzeNZQ5ylbGQkM67DQetVwDTAGeHo+TFZ0jUjdWTsC5m/GU5pmsVc0zWZ4qzUyTZRrx7Ad6gfnJFt90pU3keJckTP+OaqNpXuZVG4H4ud234rNKag6wyONdbdAnIreFhomg7nMWE3gwfHCk0SRCwDwTwbirEPNMlqdKM9NkmZpnsjzTUprtXpulzMu8aiMQP7f7VnxWngPUxirVuS00pNp8TVN5X6CTNaV5mmeyBJIvzX00WabmmSzPtJRmu9dmKfMyr9oIxM/tvhWflYWG2lilOreFhlSbr2kq7wt0sqY0T/NMlkDypbmPJsvUPJPlmZbSbPfaLGVe5lUbgfi53bfis7LQUBurVOe20JBq8zVN5X2BTtaU5mmeyRJIvjT30WSZmmeyPNNSmu1em6XMy7xqIxA/t/tWfFYWGmpjlercFhpSbb6mqbwv0Mma0jzNM1kCyZfmPposU/NMlmdaSrPda7OUeZlXbQTi53bfis/KQkNtrFKd20JDqs3XNJX3BTpZU5qneSZLIPnS3EeTZWqeyfJMS2m2e22WMi/zqo1A/NzuW/FZWWiojVWqc1toSLX5XHkTMAETMAETMAETMAETMAETMAETaCwCFhoayx6ujQmYgAmYgAmYgAmYgAmYgAmYgAmkmoCFhlSbz5U3ARMwARMwARMwARMwARMwARMwgcYiYKGhsezh2piACZiACZiACZiACZiACZiACZhAqglYaEi1+Vx5EzABEzABEzABEzABEzABEzABE2gsAhYaGssero0JmIAJmIAJmIAJmIAJmIAJmIAJpJqAhYZUm8+VNwETMAETMAETMAETMAETMAETMIHGImChobHskZbaTAXOBl4LHA0cALQCjwHfAS4HthU1ZiRG424AXhIjX5SlDfgA8C7goHBOlXEx8NsaypnorI3A8yvAuRVA/BHwxYkGFfP8o+GpohcCfwm8ClgEDIU+/V3gs0BPzPO7f+YJJMnT/RNmAxcCvx/65xbgF8CngXtq7JvK3izXz1E0fcIO+TBwGnAUMA+YBKwBbgIuBe4vU7PzgD8GjgD6gV8Hu986ipakye618NIc5KXA64CTwrxkOvAMcD3wD8CqGnml7bpTCy+huCTMl8phEbOP18isWfuXMCQ9j01b/yrsCvuEefZcYGWYg5frKlm9ftX402nO7BYamtOu9W7Vu4Evh5Pohv4BQAP6i4Bu4GHgdGBtQUV0QS2XzgLmAJ+sMugVHq9JxX+HSfdm4GehjBcDO4AzgdvrDSKh8huBZzTgXRcmvsVN+yogEScNaTQ8DwZuATRoPgHcFW4C1KdnAg+F/q2buzgp6/0zaZ5Z758LgJuBA8Pv8zZgPnAiMAD8LvCTOB0z5Gmm/llDsyc863pAQuh9wOpQmyOBQ4IdXw9cU1TLK4APhnFNNpY4oRtqzd/OAb5XQ6vSZvdaeOlhw6OBhcQbjf8Si/Ub2S8Ixa8Jv6O4yNJ23amFlxhEQoPGPj0oKk4/BL4dF1Z44JSmeVmtvJKex6atfxV2BdX9D8J1qJLQkOXrVw0/nebNaqGheW1bz5bpybduwHQBKfQc0GRYA9NxwDeAt8WohG7iNCnoCpOtaKJQ7dDoZlL5fwd4PhzwhiBAaNA8HBisVlADfN8IPKMBTwLNjQ3AZCxVGA3P/wmi1eeDl4wmqEozgGuBk2sUwrLeP5PmmfX++b/Bg+zHwBuB7aF/6umtvMg2BhEirtdNM/XPsVwrxvvYU4E7gb6iE8tb4f+HcWz/gnHrZeFp/AbglIIbaf2t63QvsBSQ2B4npc3utfBaBnwB+PsgikdPnzW3kDeenqo+FZ68SpyLk9J23amFl9ofCQ3nA5VuouOwUp5m7l+VGIx2Hpu2/hUxkND5U+BLwHsreDRk/foV93fT1PksNDS1eSekcZoAyZ1zZ/BykJtnpfSecLGSK6iOjZv0hFlCgtyIi5/ofB/4vfC0R5PwNKfx4pnWAa9W25bjqScbcgWUWCbhqzCpj+nGWTd5eiIWJ2W9fybNM8v9U8t4dIMk0VRPbZ8s6oD/FUTdPwP+KU7nDB46Wbh+xsTRENkkjutm+Zjg8aBK/Qh4NfChIOwXVlS21tLBjwKXxWxBM12XSvEqh2Ey8FwQjs8IS1XiIGum604pXkkLDVntX6Odx6axf+m3pCVemuNL6H6kgtDg61ecq0yT57HQ0OQGnoDmTSl42qY12hrcKyWtTdVyhz8B9DQ5TtITnMeDK6meOBc/nXgn8B+A3P31FCPNaTx4ik8aB7zR2LUcT7kxq79WEhq+BqhvVUvun3m38KR4Zr1/Kh6OxFR5b8nFvjhFTxHjxrjJUv+s9lttpO/lHXhYENC1/FAT+k3B209ik2INFCZ58ilGh8ZQ3TxXS81m92Je1dqvpRQnBFFOHpdxUjONi6V4JSk0ZLl/jWYem9ZxTR5DHwvLo58OcU9KLZ3w9SvOFSYDeSw0ZMDI49zE5UHt1M2/4jVI9SyXFof18HpSpxs8uYfGSVJRFaDvN2H9ZfExWvOquBF3Ay+IU2AD5xkPnoUD3pVhzZ0COilwlly2NeltllSO578HUarS0gkFKo0Tp8L9E5LkmfX+qSVo8lrQjZKC3BWnyONGyyfklVMtZal/VmPRKN9LwJQwHi3509KtY8MYti4Ejiyuq2I9KOiyxAgFCq2WmsnupXhVar9iU+ihhwJwxr2ON9N1pxyvSGj4z7D8SvE/JGjJe09LfGpJWe1fo53HprF/Kfi7+oUe5P0hsKSC0ODrVy2/nibOa6GhiY07QU1TkEg9YdMNqpYvVEqKoP63wA/CLhZxqyx3UbmNSmxQ8KziJC8HrVmNO/GOe96JyDcePAsHvOI2ap2r1r0qGFka4l1Us1E5ngqsp0BrigavYJAaTDXp0ppXraeWe7Ju9uIk9898oMKkeGa9f748sFQcGnEtToo0H7nOS9wt3vGnOH+W+mec3+tE5PlzQIK4xAItYdHfz4YxM7rB0/ipZYCVBHOJDFofrmDM1eJzpNnucXhVsuPbAXmkSbSRd0ilByCF5ZTbFaDRx8W4vCrtOqFlp/IIrXY9iXhltX+Ndh6btnFNYp2WOMtzRZ5XejBYSWjw9WsiRpYGPKeFhgY0SoqrpPXripitG1K5KN5bpS0Phu26FNxMkYrjJm1B+Dfhxu8dJQ5qD8sp5FXRGbfQBsw3XjzVdAkJuqH+eXiioRsarQ3W1nmzwvpgrRNOc6rGU08F5VL7iqJGKj7DRTV4drh/5gEmxTPr/VPCqUQGBbXTb1LBSaOkMVzXWQlkSnGWq2WlfzbytUqB1BRQLUqKu6EI7loKEaXIk0U7AmhLzFJJT5+1o4JeEioqpTTbPQ6vcm2XsKBdhLSzVa3bNKd1XIzLS/OnfYMHg/qgxnotZf1M6FNasiWPqTgpq/1rtPPYtI1r+i0oAHxh4NBKQoOvX3F+NRnIY6EhA0YepyZK4VQQSA1UcYKSaUmDntzI80A3tXGfMKg5aR7Q4ppjPHlWqpOetGmSJjVbW+tpTV4aUzWecgnUjilyWdaTGU349bRR28f9XYgHop1WVsRovPsnJMnT/RMuDwEBtWXw+4MgqOumtgSWV5fEVSV9Fu3AU45bFvpnjJ9pQ2SRN4JEov8HKEL7XwURXZXzRH1vE1XiVcqguoZrd47jQ5yTuDfN1TpHWsbFWnlF7dZSVgX801IsBVDWk+xqqRmuK7XyGss8Nk3jmpaHSFDRnL0wHoyFhmq/Cn+f24fZyQTGSkBPU/TU5QDyE+KPxCgwmjjLlV3b49SS0uyiF6ed482zWp20j7ZuuJPaAqva+ZL+vhrPjjCIKuK7PHEkrBSmyDX9auDNMSqX9f6ZNM9qyJu9f6r98maQ67d+h4VJu/rI00hbIyppuU810bbZ+2e1/tKI3+s386sQU0hxOBR/yK7H5S1VildxbuXR0hN5Ad0cPNV2JGj8NF134vAqRnNpWDL4ibANZjV0zXRdictrLPPYajwbqX9pKbQ8PbUjTmHMLi+dqGZFf2+hwX1gzATkHv3LsARCAeAUICbav7pc4Qo0qCfjUs1PL3IXjVOhZgo6VNzeieBZjbniaGgdop5Y6Ol+mlIcnlH09lKRk9XWaHtBbXupPlstZb1/Js2zGu9m75+F7RfbVwFzwzX0m+F6qx0pFEjw4GqwwpZkWQmmGwNHw2TRunq5rH8qeDg4mFpl0xTzKswtDzwJc28F7gHODN6TSRo7bdedSrxKcdEDoH8J24+/Lwa4Zhv3qvEa6zy2GtJG6l+a08v7uHg5tIRtCaNadntbaNBbwhbhvn5Vs3BGvrdHQ0YMXadmTgN+FnZ+0Dr2NwXX82qnkzJ6XdgPXoFlqgkTxeU12zZKUfsmimc1eykYpNy1tUbvc9UyN9D3cXlqMvr14MnwwhL1V6C1LeFJsQbWainr/TNpntV4N3v/rNZ+re3XjgVXAdrPvVpq1v5Zrd2N/r08xv4N+GKIJVC4Pdz+5LeMLUxZ396ymFchG3n4/DHwCCBOWnKUdErbdacSr1Js/gLQVob/CMirr1pqtutKNV5jncdW49lI/auWObr6gQJq+/pVzcIZ+d5CQ0YMXYdmypX3R2GrKIkGcvOUG2+cpK1xtN2SAjpqTepo0kMhWrfWXCpgUWGSu6TqIzdjRU5OQ5ponuUYqV56Wqqn+pqwyQU1DakWnnrapSCY24PHQnH0dgVtU3AtxWdQrIc4Kcv9sx48s9w/K/U3jeFaP31ieLKkLTDjpGbrn3Ha3Oh5oh0O9CT1s6GyGmPl+q/lMQrEVpi085Lc1bUjTrTrSLU2NpPdS/FS+xXAWMF7nwpjlt6TTmkcF8vxKsVG1xUt5dHTas3V5B0SJ2Whf0UckpjHpn1cq7R0Qm3z9SvOr6bJ81hoaHID16l5chnT+jHd5GvZhFx5e2Oea0oIVqanzbppqxRcT5NnXcz1JKcwQrdOpS00Fd9BN8GKyB09sVBgNIkL0X7kadiScaJ5yg6KTaAYBIXru+We/aXgai2XueNG4X0Ss1skmq1WnvJSUMRt7bGu/iaX0YiDovgryr8CthULY+6fpc2WNM+s909RVjAuuacWPpnVEyN5GOlaqJsIPYErTFnpn4lePOpYmLbK1faj2vZ1uOA8Wg8ujzEJCbruHFoQdFcBIq8PW8kpKJ/GOyX9fUMIUqsniHJrjlKz2H00vCTIaN28lrlp94SIVyWzluOVtutOrbw0vssLVWNeobiuuZmELi2XEEfFLiqc32W5f0X9KIl5bNr6V6nfUDWhIcvXrzoOJekq2kJDuuzVKLWNtrlRfbTWd2uZiulJy/qi76JI2gp2pQGrUlJ0W02mdBOoC1ph0hpMbYkpsUN7iWsJh7avUswHTcj1VDVaM9Yo3MrVY6J5RpzF8Y6w17husLWMQBNjbaEmoUduqGlIo+Gp9aUSzxS9X8KWOOhGThN6MVCASPWtwj3F3T/37A2Fv/ckebp/5vezl7CqfqkntOqburFQDBJ5lIm3rnuFKSv9Mw3XJNVRNlQcI42Jit6ufeg1ZknEVOwX2e/cIPgWtkkChK5putmT6KAtm18OuRhb8tor9uhrFrvXyktrwnWdjp7GlxuvtMSo0DOvHK+0XXdq5RXdJGpM03zsuRD7RTspaLcJiVevDYG+m/G6UiuvQgZJzGPT1r9GIzTomKxev9IyLtW9nhYa6o64KU9wCXBxjJZFa7UKs0auVHHW+1eaMKlMPblWOe8Kqrtc3yVMqG5y4UtLmmieEhXkrntyEHQ0ydCTNU3UFG1YLroSIdKSRstTHhu6WdaTMO0trqVAeiImTw8NlsURy90/9+wRxb/3pHi6f+ZvRhWMVb/RaDtgbT+nG1e9Sq2hzUr/TMt1Sb8PeZ9IsNRWwRIZdI3RemYt3ZJ3ijzxSiXdFF0QlgvqGC2XUdBIbSldnJrF7rXyitpdrT8U755Ujlfarju18pKAriUmuqYcFPqjtndeFbz4FJuhOC6I2Ga1fyU9j01b/xqt0KDjsnj9qnYdysz3FhoyY2o31ARMwARMwARMwARMwARMwARMwATqT8BCQ/0Z+wwmYAImYAImYAImYAImYAImYAImkBkCFhoyY2o31ARMwARMwARMwARMwARMwARMwATqT8BCQ/0Z+wwmYAImYAImYAImYAImYAImYAImkBkCFhoyY2o31ARMwARMwARMwARMwARMwARMwATqT8BCQ/0Z+wwmYAImYAImYAImYAImYAImYAImkBkCFhoyY2o31ARMwARMwARMwARMwARMwARMwATqT8BCQ/0Z+wwmYAImYAImYAImYAImYAImYAImkBkCFhoyY2o31ARMwARMwARMwARMwARMwARMwATqT8BCQ/0Z+wwmYAImYAImYAImYAImYAImYAImkBkCFhoyY2o31ARMwARMwARMwARMwARMwARMwATqT8BCQ/0Z+wwmYAImYAImYAImYAImYAImYAImkBkCFhoyY2o31ARMoAyBrwDnAmcCN04wpRHgSWDJBNfDpzcBEzABE2g+Ah7vms+mbpEJNCwBCw0NaxpXzARMYJwIlJt4PQEcAIznddJCwzgZ3acxARMwgQwS8HiXQaO7ySYwUQTGcwI9UW30eU3ABEygEoEFwAzgKaC3IKOFBvcbEzABEzCBZiLg8a6ZrOm2mECDE7DQ0OAGcvVMwAQmjICFhglD7xObgAmYgAmMIwGPd+MI26cygawQsNCQFUu7nSZQGwHFCFgF3AScBXwKeCMwB/gtcDHwv6FIff5RYDmwDfgW8BfAjoJTHgu8DXgpsBiYDqwGrgU+DTxbpnqvBz4GHB28DW4ALgTeEesaXOsAAAn/SURBVOpwPiBX0CgVTpbeDXwAOBjYAnw/1Gtz0bmKXUnPAHSeUqkwfkKliVlUxleB84oKmg18ElDb9PfjwL8AnwOGK8RoOClwPg3YB1gb+KkseWM4mYAJmIAJ1E7A453Hu9p7jY8wAROoSsBCQ1VEzmACmSQQTbx+BbQCS4FfBKHhxYBiCbwKOAr4TBAktgL6TjfBXwfeXkDum8AbgPsKboolPug8zwHHlxAbPghcEW6+de41gG62ZwaR4w+AckLDpYCOV3DH7cCpwDzgl8Dpof5R9YqFhsOAjwPnAFMBiQVRWh9u9vX/aISGWcAtwOGhPWqXxAYJE18ELigjNPwxcGWoxG8Cw0ODALMutEkCkJMJmIAJmEBtBDzeebyrrcc4twmYQCwCFhpiYXImE8gcgWjipYb/HPi9cMOu//WE/t+Bx4Ko8ArgjkBoIXB3uKlfFp7W6yvt6PAQ8HwBSQkYfwV8IpT3roLvDgyeE/pIgkbkYdAOfCkIDPqunNAgUUI37ytCmfLEkGhyUPCqUJuiNNrgWKMRGr4AvD94Ikh4iWJCnAj8DJhWQmg4Gbg5CBNnA3cW1P0PgauA2wDlczIBEzABE6iNgMe7ysK5aHq8q61PObcJmMA4R1M3cBMwgfQQiCZecuXX0/dHigQCCQa6edeyh78uatblwIdKiADlWv8MMCmUF+VRuRcB/wpoCURhkkfD0+GmvJzQ8J5wA1543EeAzwZh45IJEBrkHSHvgy7gEGBlUbv+PiztKN7e8nuABIbfBa4pAVFLQiQEvSCIPOnpZa6pCZiACUw8AY93yQsNHu8mvl+7BiYw4QTs0TDhJnAFTKAhCUQTL8UPkGdCcZIHwwvDUgktRyhMcv+Xm/9fAn9X8IWWVOiGWLEcJBa0he9eHTwg9P3G8Jk8GOSRIG+G60qc/zshxkE5oUHbUhbHLdCN+g+CR8T7JkBo0LISxby4PSwBKW7WMcA9RR4N8vpQfAm9i9lACRaKj6GlIvKUUKwHJxMwARMwgfgEPN4lLzR4vIvf/5zTBJqWgIWGpjWtG2YCYyIQTbwkImjCUJwU+0CxDgqXR0R5oqUVWhIReQ68Ndzga2lAuaRz6mm+0sOAYhAcGZZcFB/zj8CfVVg6IRFD3hiFqVyAxvFaOvEW4BvAt4E3lYCgLTYVqLLQo0FxJQqXm1Qyqpah/M2YrO6DTcAETCB7BDzeJS80eLzL3u/ILTaBvQhYaHCnMAETKEWgMAq3btCLUyQ0KEik1m4WpmKhQd4F0dIL7SDxw7DjRLQrxa3AKSHgZFTWWIWGUte28RQaXhJiLhTuOjGaidf8ECxTu3nIi6NS0hILvZxMwARMwATiE/B4NzahweNd/L7mnCaQKQIWGjJlbjfWBGITSHLi9UfA50N8hD8vUQMFbty3SGiotnTiv8MuFpW2tyw+VdJCg8QTbZ3ZHbb1LDzfuWHbzUKhQR4gEmjKLZ3QFp73Fnk0KPhlD9Aflk5otw8nEzABEzCB5Ah4vKsuNHi8S66/uSQTyAwBCw2ZMbUbagI1EUhy4qVYDXLp11KHfyqqRbSOUx8XekdEwSC/DLy36BgtMVAwSN3g11NoiCZWHcBgCXqKt6D6K1bFXUXffy1s71koNGjZyFqgMwSDVPyLwvS3wIUldp34cYhV8XLgpzVZ0ZlNwARMwASqEfB4l/c6lHDu8a5ab/H3JmACsQlYaIiNyhlNIFMEkpx4nRPiEiiApLwKtgeS+wHXh10tioUGxX7Qdph6gq/tM38RjlHsBQU81LaOSvUUGqLlIQpe+WAJ638y7Lgh7wotixgKeRSPQkKDAjgWCg36WnWXcPIj8vuWR8tHjg/biEo8Kd514rQQRPJZ4J3BK6KwOhIwFPNB8R+i8jLVWd1YEzABExgDAY93eW87ed15vBtDR/KhJmACexKw0OAeYQImUIpAkhMvPcHXE38FdtQyiVvCdpZnhl0WdP4XFXk06LMPAleEoI7yHlBQxBOB2WGbx3cEr4GvFzRgNHt9lwsG+WHgsnBeLeWQQLIe+Hg4n5Z73A/MDTEo7gtPhDRR+1zY4rNYaFDdFZNCgS6fCwLKLEBrXCVC/EkJoUGn044S/xx26nggnE87UMhOx4YtM1WOgkk6mYAJmIAJxCfg8Q483sXvL85pAiYQk4CFhpignM0EMkYgyYmX0OkmWMsntJXlghAMUrsvyCtAT/f1JKVUYMk3AAogeRTQB+iGX8sLFOvh3SW2v0xSaFB8hIsBeSgsDi6lxd4Gh4WtJVV/eTDcGXbakCeG6losNIiFtvH8FPD7gcsq4Crg8iCqFJ8j6noSFLT8RF4hYtgbON4G/E/g6BgOGfuhurkmYAJjJuDxDjzejbkbuQATMIFiAhYa3CdMwATSRkDLJ+Q9cDiwMHhJpK0Nrq8JmIAJmIAJVCPg8a4aIX9vAibQsAQsNDSsaVwxE8g8AcVp2FC0HKALUNBEuXkqMKICJDqZgAmYgAmYQJoJeLxLs/VcdxMwgZIELDS4Y5iACTQqAcVC+ERYjqBdJqYDx4RlA4qVoCCJKxq18q6XCZiACZiACcQk4PEuJihnMwETSA8BCw3psZVragJZI3BC8Fw4OQRc1BrS1cB1wN+FLS6zxsTtNQETMAETaD4CHu+az6ZukQlknoCFhsx3AQMwARMwARMwARMwARMwARMwARMwgeQIWGhIjqVLMgETMAETMAETMAETMAETMAETMIHME7DQkPkuYAAmYAImYAImYAImYAImYAImYAImkBwBCw3JsXRJJmACJmACJmACJmACJmACJmACJpB5AhYaMt8FDMAETMAETMAETMAETMAETMAETMAEkiNgoSE5li7JBEzABEzABEzABEzABEzABEzABDJPwEJD5ruAAZiACZiACZiACZiACZiACZiACZhAcgQsNCTH0iWZgAmYgAmYgAmYgAmYgAmYgAmYQOYJWGjIfBcwABMwARMwARMwARMwARMwARMwARNIjoCFhuRYuiQTMAETMAETMAETMAETMAETMAETyDwBCw2Z7wIGYAImYAImYAImYAImYAImYAImYALJEbDQkBxLl2QCJmACJmACJmACJmACJmACJmACmSdgoSHzXcAATMAETMAETMAETMAETMAETMAETCA5AhYakmPpkkzABEzABEzABEzABEzABEzABEwg8wQsNGS+CxiACZiACZiACZiACZiACZiACZiACSRHwEJDcixdkgmYgAmYgAmYgAmYgAmYgAmYgAlknoCFhsx3AQMwARMwARMwARMwARMwARMwARMwgeQIWGhIjqVLMgETMAETMAETMAETMAETMAETMIHME7DQkPkuYAAmYAImYAImYAImYAImYAImYAImkBwBCw3JsXRJJmACJmACJmACJmACJmACJmACJpB5Av8HmQkHA77RO+YAAAAASUVORK5CYII=\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_posterior(faintest, PowerLawPrior(2.0), m2=1, m1=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}