Matplotlib_2_Scatter_Plot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SCATTER PLOT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- 2 Dimensional plot \n",
    "- scatter function takes x,y values as arguments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:38:06.591663Z",
     "start_time": "2018-11-13T04:38:06.224193Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#%matplotlib notebook provides an interactive environment.\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:40:46.701431Z",
     "start_time": "2018-11-13T04:40:46.696355Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#imports\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:42:01.846703Z",
     "start_time": "2018-11-13T04:42:01.786225Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x11e990b00>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.array([1,2,3,4,5,6,7])\n",
    "y = x\n",
    "# create a new figure\n",
    "plt.figure()\n",
    "plt.scatter(x,y) # similar to plt.plot(x, y, '.'), but the underlying child objects in the axes are not Line2D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:47:04.202888Z",
     "start_time": "2018-11-13T04:47:04.149982Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x121140dd8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#create a list of colors for each point to have\n",
    "colors = ['green','blue','red']\n",
    "plot_color = colors * 2\n",
    "plot_color.append('black')\n",
    "plt.figure()\n",
    "# plot the point with size 100 and chosen colors\n",
    "plt.scatter(x,y,s=100,c=plot_color)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:51:28.803483Z",
     "start_time": "2018-11-13T04:51:28.799270Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(1, 6), (2, 7), (3, 8), (4, 9), (5, 10)]\n"
     ]
    }
   ],
   "source": [
    "#convert two lists into a list of pairwise tuples\n",
    "zip_generator = zip([1,2,3,4,5],[6,7,8,9,10]) \n",
    "print(list(zip_generator))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:51:29.662872Z",
     "start_time": "2018-11-13T04:51:29.656378Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 6) (2, 7) (3, 8) (4, 9) (5, 10)\n"
     ]
    }
   ],
   "source": [
    "zip_generator = zip([1,2,3,4,5],[6,7,8,9,10]) \n",
    "print(*zip_generator)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:53:22.686137Z",
     "start_time": "2018-11-13T04:53:22.679572Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(1, 2, 3, 4, 5), (6, 7, 8, 9, 10)]\n"
     ]
    }
   ],
   "source": [
    "print(list(zip((1,6),(2,7),(3,8),(4,9),(5,10))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T04:57:01.996895Z",
     "start_time": "2018-11-13T04:57:01.991321Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2, 3, 4, 5) (6, 7, 8, 9, 10)\n"
     ]
    }
   ],
   "source": [
    "zip_generator = zip([1,2,3,4,5],[6,7,8,9,10]) \n",
    "x,y = zip(*zip_generator)\n",
    "print(x,y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:20:46.319930Z",
     "start_time": "2018-11-13T05:20:46.266496Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x123a75630>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "#plot a data series 'Tall' students in red using first 2 elements of x and y\n",
    "plt.scatter(x[:2],y[:2], s=100,c='red',label='Tall students')\n",
    "#plot a second data series 'Short' students in blue using last three elements of x and y\n",
    "plt.scatter(x[-3:],y[-3:],s=100,c='blue',label=\"Short students\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:21:13.668638Z",
     "start_time": "2018-11-13T05:21:13.658701Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x123fbd128>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.legend() # add a legend (uses the labels from plt.scatter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:21:44.878481Z",
     "start_time": "2018-11-13T05:21:44.869884Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Relationship between ball kicking and grades')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add a label to the x axis\n",
    "plt.xlabel('The number of times the child kicked a ball')\n",
    "# add a label to the y axis\n",
    "plt.ylabel('The grade of the student')\n",
    "# add a title\n",
    "plt.title('Relationship between ball kicking and grades')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:22:37.050036Z",
     "start_time": "2018-11-13T05:22:37.041268Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x123fedb38>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add the legend to loc=4 (the lower right hand corner), also gets rid of the frame and adds a title\n",
    "plt.legend(loc=4, frameon=False, title='Legend')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:23:07.405410Z",
     "start_time": "2018-11-13T05:23:07.396964Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.collections.PathCollection at 0x123a75358>,\n",
       " <matplotlib.collections.PathCollection at 0x123a75630>,\n",
       " <matplotlib.spines.Spine at 0x123546470>,\n",
       " <matplotlib.spines.Spine at 0x123546f60>,\n",
       " <matplotlib.spines.Spine at 0x123546048>,\n",
       " <matplotlib.spines.Spine at 0x123546c50>,\n",
       " <matplotlib.axis.XAxis at 0x1235465f8>,\n",
       " <matplotlib.axis.YAxis at 0x12357ad30>,\n",
       " Text(0.5,1,'Relationship between ball kicking and grades'),\n",
       " Text(0,1,''),\n",
       " Text(1,1,''),\n",
       " <matplotlib.legend.Legend at 0x123fedb38>,\n",
       " <matplotlib.patches.Rectangle at 0x123a64b38>]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.gca().get_children()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:23:31.283025Z",
     "start_time": "2018-11-13T05:23:31.279159Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# get the legend from the current axes\n",
    "legend = plt.gca().get_children()[-2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:23:50.888887Z",
     "start_time": "2018-11-13T05:23:50.882436Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.offsetbox.HPacker at 0x123a96208>,\n",
       " <matplotlib.offsetbox.HPacker at 0x123a960f0>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# you can use get_children to navigate through the child artists\n",
    "legend.get_children()[0].get_children()[1].get_children()[0].get_children()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:24:09.510920Z",
     "start_time": "2018-11-13T05:24:09.489666Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Legend\n",
      "    <matplotlib.offsetbox.VPacker object at 0x123fbd7f0>\n",
      "        <matplotlib.offsetbox.TextArea object at 0x123fbdeb8>\n",
      "            Text(0,0,'None')\n",
      "        <matplotlib.offsetbox.HPacker object at 0x123fbd6a0>\n",
      "            <matplotlib.offsetbox.VPacker object at 0x123a8f278>\n",
      "                <matplotlib.offsetbox.HPacker object at 0x123fbd160>\n",
      "                    <matplotlib.offsetbox.DrawingArea object at 0x123a8fda0>\n",
      "                        <matplotlib.collections.PathCollection object at 0x123a8f3c8>\n",
      "                    <matplotlib.offsetbox.TextArea object at 0x1225fe470>\n",
      "                        Text(0,0,'Tall students')\n",
      "                <matplotlib.offsetbox.HPacker object at 0x123fbd4a8>\n",
      "                    <matplotlib.offsetbox.DrawingArea object at 0x123a8ff28>\n",
      "                        <matplotlib.collections.PathCollection object at 0x123a8f198>\n",
      "                    <matplotlib.offsetbox.TextArea object at 0x123a8fcc0>\n",
      "                        Text(0,0,'Short students')\n",
      "    FancyBboxPatch(0,0;1x1)\n"
     ]
    }
   ],
   "source": [
    "# import the artist class from matplotlib\n",
    "from matplotlib.artist import Artist\n",
    "\n",
    "def rec_gc(art, depth=0):\n",
    "    if isinstance(art, Artist):\n",
    "        # increase the depth for pretty printing\n",
    "        print(\"  \" * depth + str(art))\n",
    "        for child in art.get_children():\n",
    "            rec_gc(child, depth+2)\n",
    "\n",
    "# Call this function on the legend artist to see what the legend is made up of\n",
    "rec_gc(plt.legend())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-11-13T05:29:39.549256Z",
     "start_time": "2018-11-13T05:29:39.505867Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     },
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     "output_type": "display_data"
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9KEPlWc+85ntuevHf/zHyz777NNWftNZeTown6cj7HHnhs985jPlBS94QbnVrW7VHoMSyNjsbj26fe+BD3xge/zKfpeKfe7yp87Qddy9G8oaB2R+Kb85l2e/SPnqzmc5luRRopwHsg1npUnnl/Q3lPPrzW9+87auk30k9Y6ch+eZb73cHAtT/tPKLDY5xscq585Z58h6PvN+n7TPL/I4li5l0pn7T//0T7fHw+5Ym770fv/3f39sa45513/WdOnPOseqnCuyL+WYmO3e7Utf/epXJ86i3tfzRsou5dzdHQO6z67+1U0zz+ck+2m/Hbdfj04/bpr11gtri+641y23G5eWOV1K/bazqT9zvB9NKdd//ud/3taRUo/J/pNj3nWuc52S+nyODamXX3DBBes+PnR1oKxT121Pzssph9muORZ1+13qKNPqU6P56P7+5Cc/2R5nU8dMHpKXnBeOOOKItk/1Sy+9tJt04md3PZL1PPfcc9vpcg0Wh/TdnvXMY+gp05udFlmfnXfdcxx/61vf2l7j5Zoy15O5rsx5Nttp2vGxPm6nXtalXL/UZTPfx5XPbvppn9PqQN24vffeu59F6pejy+7+nnYsWURduNtfs7xuX855KnXUlNnuOJl9MfXrceew1M0yLue5XG9nn025/L3f+72+BV6f2QV8ST06+2iXspzzzz+/+7Nkn+v25wxMfSz1SmlBAs1BWtrhAk2LvrzOt/3XvNxjZm5+/dd/vZ++OXjNnD4TNAe7leYA3f+uW97oZ/OY8UpzQps4z+ZipZ9Hc5CfOF1zodRPN7qM0b+bE8XKt7/97bHzat44NPd8mkDLLvNoKvr9b1/ykpfsMm70j6YiOZdP0+fByr/927+N/nyXv5uL+365TQVv5W1ve9tKcyDuh43mv7nwWfmrv/qrXeYx+scHPvCBlaaCPHEeo/Mc/X3+ft3rXtf/PlZNs/uVJmDVDxudR/6+3/3ut/Kd73xn3OzaYfOUhyYY0C+jqRy1vzvuuONWmgvdfvjospPXpoI1cbmrGTG6jk1wb6WpFE9cdtalCaqsfOpTn5prMWeeeeZKU6GcOr/Ms7lgXGmCBLvNsy6now6jf9f7XLZhN/7000/fbb7dgNF1mzZtXXabYFA3i10+m0rSSo5BzUVbv/xuPerP5o1qK80F/kpTSdzl9+P+aAIyK02lZer8Mu/mYn7qdhnd1ll2fJtK1cR5x7S5ezlutVY9bHQfu+SSS1bueMc7Tlx28pR9rAnuT1zWaJ6++93vTiy/TWfM/Xze+9739sttAir98HFfsk2zTzZBsv439basv2e//ad/+qdxs2mHLepcM3EBY0bkHNKtYxMoXsnxfNrxMseh5qJzzJx2H9RUtFeaAHQ//245o5/NDYyV5oJn9xlUQ+r9K+eGpvK80lzY7jbvww8/vPrV/F9Hy9+4X46WixyTHvCAB+y2DnX+mmD5SnOBPG52qx6W80kTSJu6vG7ZzcXkyhlnnDF1GePOL//rf/2vleYCf+IymouplQsvvHDqfDOyedHaSvadbn3GfTY3DFeaG1YrdV0l5+v1pNF9fpHHsRxrfvEXf3FqnpLPlNW//uu/Xk82dvttc5N1pQk6Tj33Z9nNheVK9uNxqd7Xx22Pelj2sdWmUft5fj+6X4/7zeg0i6gX1hajXvW42mTc99HzQ64Bss+Pm3bcsL/7u78bl+W5h9V1oNTVm8BBWwcbt6xuWOo/2fdnpRxvUt+bVt/MPFMPb27iTp3d6D5+1llnrTQ39Hdzam6ETp3PpJGjx+Zx042Wz0XXZ8ctc9yw5gbLXHW2Jni18rnPfW63WdTH7W6bTvocLZ+7zWzCgGme9bhJy62HjzuWLLIuXO+v2ZebQFp7DK7Xof7e3IRaaQJ+fc6bxh9Tz3l3vetdV5qgej/9Ir/8wi/8Qr8P3OIWt1hJmYxNfQxJnGOea4FFrtfQ57VXUyCkJROoW/1d+9rXnpn7JkBR0kFyc8Btp82dtNz1usENblDS2uD//b//10btc0cmd4WbC9aSO825O7bW1Bws259m/mlBl7sWaR2Uuy25c5FOQZuTQjtNWpqlxdc73/nO3RbXHFjalhFpfZE7jUlpuTOuhUT6SFxLaiovpbkIL01Fof157sDkrklzICtpCZY7Gt26NhXikruAufuX/MxKf/M3f9O2OGkOhm2rgdimZVjucqUFRMyb4GdpKuTlH//xH9tpRueZFlu5K59WZkkxzPrlLltaTWR4pvmHf/iHuVvOZblpVZU7qbkTmle75w5eE1xo16vbfu9+97vbO0qLfGNTmo2feOKJbV7Sii3bM+vwf//v/23LXUakjCfP2TbNxXA77aL+S8uD5kK5nV1aZKblTXOiaMtktkFSWo/c4x73KOedd97YbdJO1PyXjm1zx61L2bbZxrnLlW2e+aXcZv4p33e/+91LWi1kH+xS9sWnPOUpJXcYu1a4aS2Qlqijqd4n01oid/ST4lT3x9H9rgliln/913/t/mw/J03bVCxLE7Bqp0mrstwlH03JU/bJbj0zPi03sg2zbmmlmn01+0vKWFOZL03AvG0dOTqv7u+UwbSmyW+TmsBhe8czx4yU9ZTt7G8pm8lP9vNslxxXZqW0MMrd+ezTaW3ysz/7s+380wKsawWWfTH7Qo55WfaiUloUZxtm+6dVQFoyZJ9NPrPvp7VdUvaxHH9yRzr5nZWe/vSn71J+U4az3jmO53i72pTtlNbDeYNml7I/xjnniKx71rUJmLSfTSWuJG/j0laca0bXownmlqc+9alti7y0Rsh+nLKcFh5/+7d/2x5vU45zZzqfv/mbvzk6i/7vHIeyz8a2Szkv5A579vWvfOUrpQn2tOe0tFrKcTzns7ysa1b6kz/5k/7Ykf093rljn31wM1pAd+uXFrfZ9qPnvexjsUzKPh3H1A/Sgn09KeWta22T7ZMWaDn3JO+po+Tck3Nu9pOc2/J0QspjjjvzpLTCzfZPynEs54+0/syxI+ufY3GOSTnmpIVCljsu5dyflvB1i4Zsp5z/c97N/DIux8K0xN3ItKjjWFpV5byRfblLTWCqzVO2Rc4BOdZmH085TIv2tPB58IMf3E2+5s/MM/P5y7/8y34eqUNlfdKSJK1oci7IsSV9gj3qUY8qTQC235bdj9LyrCuDaWHUlaUcw0b7AUyetmNaRL1wVr46p5TxnPOTcuzK8Ww0ZT/pUvbPtHb92Mc+1g1qz5vdUzw5D+d8kMf6Ovt+wgV8ybZP3S+tmdIyNOUj9akcX5OPrr+41H1Sd25uEExcao4heVFBjmVdyrEmx4SUucwr9bEc5zOvtIjNb573vOd1k0/8zHG/uWnW1nPSOivn93zmnJC6+GalRdZn513n1GuzXXIc7VLqITkv5jyS67vU55NSr8r1Reo89RMsqauk3puU1vNdq7e0XEtruDrV5bMevp7vKVNZfs4HeXonKeueMjAujR5LNqIu3C03ZT+t11Pm06q0Cd61LfpSD0m5y7E002Q/TVl705veVH71V3+1/XlavOf6OHXJ2Ke1dVL887bePCW26JRWgKlbZX/K8Sb1/hyjU29Iyvm3ezpm0cte6vk1hVfa4QKraQGYuybNgauPtifyPi01J+m+hUFzcFt59rOfvdIcVHb7SfPYwy4tVdIiYFwavfs0bpoMa5otr/zhH/7h1NZyTWVvl1Z3aUk1KY3eIZw0XT18nt+kNV/dGqFpij62ZUBzgO0dmwNO2yKkXlb9vb7Tm1ZSzYljpbkorCdpv2fb1MvOXcpxqTlJ9du7OelObKGZstFUkFaOPvrocbPZpQVg13orLQDTSqlOmU/dgrM5Ua80lfN6kv77POUh84tZ/qUMNiemtqXROJPmAm2X8p0WX7mbtJ5Ur2NzIdmuR1qANJXw3Wb7F3/xFytNBaRf32l3Ht/znvf0LcuSpyaQMPYOW1MZ2uVu9tOe9rTdlpsB9R3JacvtftwEDPv1zDFhXMod7c6+CdC13ydN+9rXvraf9klPetK42a00jyr206Rl4Z/+6Z+2d/pGJ26CG7u0es2d8nEpZa9br6xnU/HbrTzmd82FRtuCsstLE7Qdu9xx27oJJK40FaHdFp/jTVopdvMcVx53+9GMAXULrK6spTVX1qtOzUVWW16yP3TLb4Li9ST99zpP3fo2j0yObSGb1oFdmrc8pdVgtw75bAKMY88RmW8T8Gi3URP86BbTfy76XNPPeI4v9d3zzr0JIOzW4jbnvuax5D6/8T/77LPHLiHbKHfNO5umUj323JAWJmnp2m3LHO+boPXYedbnhmzLHIebC9nd7ozX23HsjCYMrMtfWsiMS3W56KzydEATqN5t8je84Q27tCpoAl27TbPaAWntn/nk/J8WYeNSTJtHgFfSUjP+aV3ZBAPHTdq2Auq2UbZB8pRj07jje3ORstIEbvtt2twcGDvPDKzrDzkHnnLKKbttpxxXmiB5O7/OMuuyyBaA3XwXcRyrW77Htnlka7fjaFr2NDdLeqOcD+uWJhPBZoyIdbed8plzyei5PeeDnPu66XJeHXfs7hY12iKrG76ez/p4W7e4nzbPer8e11Iov62nWUS9MPOsj3ujLQAzPmmeY8KVU175f87pnX/Wuemmpx69y/cmuLDS3AAde+zYZcIZf9T7Wlfe87RNzvt1ynEh9adu/fKZuvmk1Nw86Kdtgk8rzWOyu02a43xzg7s/zmW/aAIXu02XAXV5y/E7x5vU+0aPY2s9ftfH5kl1wLp8dlaLqM+OzfCYgclbEwzuXXOsTav/0dQE+tvjdret0hIw1wLjUp2nefe5cfMZHTaPZ319km0/b1p0Xbjel7NdU7ZyDhw1S32ledS690/5S+vVtJpubibvtvpNg4t+2pzHFnEs320hzYBc73fburvG6/5uuo4Z9xPD1imQ6LW0wwVWEwB88Ytf3O9k2blmPaJRX8AkKDctNXe+VppWNf38x10QLPpA3bS+6R8lbFpATFy9uoIw63Hebibz/KZ+nDoXGZMqb5lncye8t4l9HjMbl+qKXg7iOQlNSk0fYP08U9Fu7irtNmn9aOR6HlWsK4JZ/wQTU/kZl5o7TCu3uc1t+nVrWrqNm6wNbHQH+Ukn7voE202bx18mpQQX6sfiEphaT6rLbJafk3wCGZNSLhKz3bp1HbePxS0Xzd00CXhNS7mwSSUt0+fkPhp0zW/nqayMLiOV2m4dsi+Npoc//OHt+FQYjj/++KnTJnDczavp82p0Viu5SZAKRKbJI+3THgPNj3MB3s2vaXm32/wyoGl91E8zKejY/TDlqD6ejStDo9s6wcXRi4hufvmsA90Jhq83je5jCdSNu+HSLac+nqcS19xB7Ub1n6N5yrbMtpiV5ilPedSqLuvrqajV22YR55pZ+avH15XnlLk8bp9j2LiUfbcOMuQR7XEpwa+u/CaIO+vxmfpc0rRAGzfLXYIAmfes48bYmUwZWJe/eQKAWYcExJoWuxPnWlfsM30CRJuVmlaa/TY49dRTxy529PySc0cCE5PSK1/5yn6euZAdl/LYd30Omlaem1YZuz06v8gAYMwXcRzL8bre16c97pgbo/WN5kk3J8fZjRuW41p90dq0sBo3WTssQZ7sb8l3/jV9RE6ctg7IrNe8W0h9vJ1Up+mm7T7rOt+kOmQ9zSLqhVl2fdxbVACwaXnU259++uldFjf0s66rZ5vnZsu0IFrztEO/jimn4+qxqcd1ZSiPSzZPQkzNQ44v3fST6gJ1ecu0044LUxc2YeQ85+y6fGYdFlGfnbA6YwfXTqnLpvuWSSk39LN+neukm6x1nubd5yYtsx4+j2d9/pg3ALgRdeF6X45Xzn2TUq6BO9N8pl4+rcukpvV+P/2ka7lJy1rN8ATt6/XK9wR+x+2fq5mvaccLCACOd9lRQ2cFANNHT6L+zWNFu+xcuXidltLHTbczpiXVuODS6O9Tieh+86xnPWt09FwBn91+NGNAKnhZZg5iCUKOS3UFYVEBwHjUrY9+93d/d9yidxnWrWvWN62VxqW6ope+o6al0XUY17Lmhje8Yb9NJrWCmLaMblx9cZj1bx7x6EaN/UzrgK4sNC+SGDvNPCfu+gSb+eVkNCs9//nP75edyuB6Ur2OWf48rViS3y7v6S9pNCX41I3PSW+eVJ+0x5W1eSoro8tpXnzTr0fTxH50dN83YfM4UBuw7tZ53LR1a9Rx/f8lqNH9Pncm50l1oCUtxOqUwFzuFGae01r41L/JRV63DuP2rdFtPc65nl/z+EQ/v9zJXm8a3cemtU7IstICpr7QTt9lo2k0Twk0zZPmKU91+WkebZxntmOn2YhzzdgFTRhYV55zHpl1oySBz64c5bN5XGm3OdetHJpHyHYbPzogAcIExrvyPC4AWZ8bpt3wGp33vH/X5W/eAOCklqf1Muu+fJpHzupRG/o9N0q67ZSbGePS6PllXL2l/l2CUd2NjHyOO6fmuNEtN+ffLGNaqluD5HfrDUaN7vOLOI7VLX1zc29c+azzmIv1ziB9g06qm9W/mfQ9Lay6eeU8kyDftJSbq930+YzHuFQHZNZr3s2/tp83GFHv1/MEAMedu7rl53OeemGmq497iwoAPvaxj+3t80TEZqS6fp/t3TyuOHWxCdDX/dWOW88E8boyNO3pom5B2R/yBFB+kwDtuJtxdXnLzb1FBzbmOWfX5TPruoj6bGcwz2cdnJ91rM386lbHk+oYdZ7m3efmWdd5POvzx7wBwEXXhZOXel/OMXK0VWmd39x06sp2PiedG7vf1EHbSddy3bTr+cxNpnq9Ur9PHVvaGIGrNNjSgAROOOGEth+C5gTUf6ZPhCZIWNJnUFL6TcnbdJpHUqbmPH1Ldak5QMzVP1T6+elS+oJZRErfLk3ApO2LK31rNE34235d0k9P/qUvg6TmBNz3V7CI5c6aR/qouOyyy9rJmub8bZ8zs35Tv2m4edx21uTtG5enTdRcgLRvBu6mSX9noylvSOxS/calbthaPtO/WvrrmJbSZ1qXxq1XN261n+lzalZKn5VdSn8ii+wTa7XLT79Eo6nux2ie/r7y+43Yt5pWnP2qjZbH9MXR9f+Xfn/yJrGmFUY7/ei0zYm7788nfYg0wbB+vt2XRee5qZz1/ZI2XQ7069Ytb9xn+knr+k+c5/iUt9BOS+kTqbmL3U4Sq6bVwbTJVzUu/Z6kT7hpKctuWl72k4xul35E9WXe8lb9ZOLX5jH2flyOxWtN2+Vck/VvWiKW5rHMqVlJGU8/ql0adU9/nF0fRk3rkbbP3G7aSZ/pFy59YSal7570ETctLXI7TlvOrHGrPR6OWs2a/7TxOec3jxiW5gKlfRNnc0G5S90g/TR2qe6TrBs27nPWPp++iZqgXvvTLL8J2Ow2mzqP2U6pH0xL8xhO+/2scbPyNM9xLH00dakJ8rT1y+7vcZ85dqXumdQE7HbpC3Hc9NOG1ctOn47dMXzSb3Kczz7apXHn4G7cTvyctT3nqRduVL7r+uZrXvOatp/UjVrWuPnm2J3+9Kal5oZhSZ2hS/X+mmHpRzJvxU3KOTZ9/M5Kuebq6lPN5XrbX+i032T/aAJG0ybZlHHzHHvq+vR69qX01Zf6eJea4GP3deJnfc2UPuFyLNnpadF14VGP9B3dBM9GB/d/py/F+hg6q3/c9N/ZpebmaPd14Z9vfOMbd5ln9qkcy6SNEZheK9mYZZrrFgrkhJPgX3N3f+Za1B3fpqPbeS7wmjuP/XzHVYz7kXN8yTJ/7dd+re1Ueo7J20nqTmXn/c1ap+teApDfpwKdToFnpeYOYD9J0zqh7fB32otY8tKBWal+mUhOsKOpuWNTmhag7eCmZVzJRXsq0U1rxKkvqBidT/33Itarnt9qvuelF7NSKv+5UEsn4LlIa1qPzawUzppnxudklEDYrFSvY8pk9oWmpVb/s3rfSgf6edHDrNTcUe4nWe++1c2o7tB7tBJcV/QyXSoUKb/pgHx02vrvrhLcLSOf6di6exFOTup5+ck8qQuiZNrRPNeGeenKPMenzCfLT0rwPh31N/0ptX+P/pf9qrmTOjp4l79zPE05S/6Ssv/VFatdJl7lHwmwJwg4K+WlMV2qj0ndsPoz65Zj1SJSjl8JdHWpLkvdsHk/6225Feeaej3rfbcePvo97gk+JY2652URXco5cd6yWVeuU96nbaumJUW3iC37TAfjCXDOSnUZTafjMVnPxW/TcqY0j+K2/1IO50nz1g3mPbfl5T9J4865dbCxC+pOW8d0Ut+dr6ZNt5ZxiziOZXtlu3Wprsd0w0Y/EzjJuTIvJ0rKhf8973nP0cnm+rvev+ZZdmaa6bogeh10mGuB23yiectol41xZbQbt+jPBCfzkrYEwZqWde1LehIwzgtxst4bfUG/muN3XlCTVJev/J39tws05ZyZlx/Mk+qX44zWV0Z/vx2O34uqz47mbdLfcU25SMrNgbzAaVZqWhu3darcXG1a27WNPOqbb7N+v93Gb0RdeDSPs1xTB45/d8N6Wj0j866vbRfZmKJe71yjvexlL6sHtYH4BIBTJ9zo48YuC16SPwQAB7ahU+GqD455C15a0OWCJBe7qchlh8rFeN5uOS3VbwtOJa6ryE37TT2uDljUw+f53jyKVJ74xCf2J4t5fpNp8gauzUpd678sb56LoEzXPOrRtgbIBUxSLkqmBQC7O+jtxBP+q+/05AQ5mo455pg2aNP0F9iOSrCmC9hkfXK3NK3LcpczbyGbJy1iveZZzrhp6jvM48Z3w/LGxQQAk+pt1Y1fy2d80lJnVsoJM2/9yv6XlOXXAcB638qbCFeb1rNv1cvKG3hzN7Dpk6R9k13zKEVpHmNpJ+kCgMlHV1lNcC8BwKz/uGnzw3EBwDq/qQCupSXqaJ7reebOcPfGsDp/s75nnglijEvzlPH8btb+N27e8wybt5zX5WpWOU/Lh/UEXur17lqHZlhahk47jtW/G/e93pabfa4ZXZ9FuNf5SZB0EeV9dD2b7idGB23632uxyjkqAYmUxbWkXLSk9c5q6yPz1A1ykZHj3aw0a5+v98N5jerz1azlr2b8Io5jOU6m7tilees7N2haY3Vp3gBsN339WXtu9rLr9dgu3+fZprPK6EblJcGHpi/Y9g3lOdfn6YDcyM+/rHduBqSOkPpmniRZdJp3f5t23qyP3wl4DPX4vaj67LzbsN6Ps526m7HTfp/W0zk2po6atJ7jyLTlbNa4umwtqi48uu7zHB/qVumzpq+nHXeNObr81f6dc0saJXXXxc2j3u0biBOzaPpbb/e/PPknLVZA28rFem753PJa76YfqP5f0wF3+3rtPIJZPyrWvPmnNB31T13f9d417HbmqQsZMzKtfvJK8u5OUVrCJE95JXnunuTOXMZ1/5q+D/q5pLXXZqUuuJPldY9GzrPsetpZFyXznCBnLTMX/AkyNZ3St3dg6+nTeiKPhidImGBQPkcDLfX03fdFrFc3r9V8ZrnztIrKPFfjPO86zBP86+Y1bfnrvYu21n2rW7f6s2651QWGM75rNZoAcVcBqIN79bRdsDC/q6fJ30nrPZZkHqN53oh5Zjld2qoy3i1/3rJWl7P6mNTNp/6cd9+pfzPpe33smidoMmk+Gb7ebTlaNqYta9a4tbjXFovIT+YxK0+L3JazTCaNX4tV5jXqNWn+44Yfd9xxffAv57amL922i5C0Ak45yuN7Xd2gvliZp26wqH2+eVNxv+prNepnsM4vi8jT6HGlPuZMW716uvVs89qznudmLHvaMrZq3CK26Uaue1rMpU6Qp0zqljvZP/MESoKBzQsD2/H/+I//uNBVWcv+Nlo213s+SoaGdPxOfur9btQr4+dJ9XGknt+s39bTrnXZs5axWeM3o2yt9viw2ukXbZUbBl3r2QQjE5s49thj+8U0/Va3DZn6Ab4sREAAcCGM238maeXy5je/uTQvHOhX9slPfvLUYE990E1T/q5SPe/nrBNgvyIjX5rXjvd3m3OnP49HPuUpTynNyxxKWj2MPmK3VSeE+qK36cB9JBeT/6ynbd6gOHnCBY7JAT6PYeQxnrTcal7iUNKvR/Mm2n4puVhKy8s8stR0ktwP305fUva6RzNmrddGONcXIutZfl1JTcB73n2qm667GzprHeYZXwfsuqBeKuXdY611gDAtjLty302bx6y61mB5lGBcS7D6WJK7zl0+VvOZMlunep65QbCaeXXT5s7ydk3zlrW6nHfbZjPyVB+76or9WpZdb8vNPNeMW9e1uNcWmWedn/T11JW31XwmsLXd01qskqdRr3nzmdZ/dWuc5kUTpXl5QUkfRgkoNC9R2aVF7lbVDerj+1qN5jXZjOlGjyv1MWfa8uvp1rrNM//as57nZix72jIWNW6e4PSilrVZ80lfqnlaoHkhWPnTP/3T8vSnP72kX+g6IJhWvHliKa18FpXWsr+Nls36+J3rjtUct7tp6wDGovK26PnMa5Xl1vvdqNe861UfR+r5zfp9Pe1alz1rGZs1vi5bi6oLb9a6b8RymheSlLy7oEsJBqYxSrqr6ro6SP0yjYKkxQoIAC7Wc1vPLSfeXER3B6B0NJ6WgJNS3ZF/gkablbrOd7O8dOLdtT6atPzuJSCTxm/U8PoRrDxmPU9K8+86MJoTwGanPPKZ5tZpHZp+jNJy4tnPfnb/aGC2dfPG2c1erbmXN6913T/Zopzz+ME8laa0oqyDIqPL36p9axxyHQDsWvJ1n5m+DgBmX+z6YOqm6QKBmbaeV/7uUp3fGM7TyrT77aTPep6beXyatD6LHj5vOa+nGy1ni16nen61fyroXcC4nmbe7/W8tnpb1p7T1r+ebtR9O+VnWh7WO642mDavero8mjjrkaNJ80pfkd3xN8GE9G87Le2kukF9vpqWp60Yly4t6q4D6u05bX1q/9F9ZNrvRsetpa61qGWPrsusv+tHb+u63rTfLaJV0LT5b+W4bLvcBGneRN32A5mAYPrv7Pquzv78pCc9aWGrOG/ZrKcbLZv18Tt15AT1hpgWVZ+d12Yt+3EeD637eR3dVvMue7tMV5etRdWFt0veVrse2a/SJVnXF2GuH7qXvuQ4mnhFd8MgL05p3sa92kWYfoqAAOAUnCGOSouXZz7zmX3W0nImJ+Rxqe68+q//+q/HTbIhwy699NJ+vrM6J00Qs35RQP/DkS8b0cS5fstt3pg6TyUunZl2Kf3vjWst1Y3frM+0nHjFK17RvkWxW+Y73/nO7uu2+6xfGDBp5dIqrev/L9v+Vre61aRJVzU8d+q7jv+n/bC+o52K7mi/NBuxb621jOduW9fvX44FCQh3wb20qKnLefLcBQRHp824SQHA9LeT5XQpLQPWmzbCcL3rtMjfp1PkeVq71mUtHWZvVsrxq25BWQeCV7sO22lbznN8Sf6mudf5Savr+py2WpvtPH2OAfO84b22Ouyww3YJJq0mf3X/SbM6Os98zznnnNXMfmHT1uebOu+TFpBjbne+mjTNVg5P8C/brUv1S266YaOfeaIg3bZ0aT3HpvocNM+ys8x6uvUsu1v/eT/rFkqpn85K6Y+7C2rPmnYrxq+1XjFpXRMEesYznlH+/M//vJ8k57o6INePWMOXefa3zLaebrR85O8ukJublfPU+dawqlv+k0XVZ+fNSI6LXXnK9VKum2alvMCnqwdlm3Stwmb9brPGd/mZd3kbUReed9nbbbpXv/rV5QMf+EC7WunSJE+g1Z5pHZxjRZfyfbs+ndat4076FADcSVtrQeua/jm6Skoi72lyOy7d//737wfngn2eg3X/g3V86SL+mcWsilEOGHXn1JMWWz82XPcLNGn6eYbn1ejdHa3MM48jzUqnn356P0levLGdUr29u0c6t9P6deuSR75mpbRu7FJeYJFA1qLSapffBczq5dfWeTQ/dwLXm9ZTxuvA3d/+7d/2F855jKdu+ZF1HJ226ysw4+52t7vlY2y63/3u1w9PC4D1prxVsFu3XECnb6EhpVR63/a2t03NUvo7q++KjitrU2ewzpH3uc99+jnkZtJaU70/bOa5Ztz6pkI6K6iVGwz1RWG9T2Se6dy+C6rnLndavww1zXM8fOMb39hnfz1ldDV1g9QLTj311H65m/mlzmP62J3VEqz22cz1XM2y6vpKfX6dNI8EeLqgZi7u5n0767j51cvO8S7HvWkp+2bdt1y9Pab9bhHj0lqya+GaR9C7t0VPmnf3JtpJ47d6+HrqFdPWPX0Ld06ZblF1zhy7u6DCpOUniPCud72rHz1aPvKUVH1MP+WUU/pph/ZlnuN3vb+PWq3GI9u7DrbW8500n/qaKceQ7dD3bb2uqYN2T6nlnDPP4/yLrgvX67NTvifg/4IXvKBf3TwGnKfTRlOeRrvBf71MKi+RydNq0mIEBAAX47ij5pIKSv1Gnde85jVjAxB3utOdSt7Gk5SDWl62UT/WOC3TeXtPV/mbNt24cTe84Q37wdNaouXtYnlEeJ7UPW6Qaevm5PP8dtI0uRh5whOe0I9+8YtfPLWlxzve8Y7yV3/1V/30i3zsoZ/pyJdcfM57x6S+A9sFNkdmty3+TIDqrLPOmrguCQb93u/9Xj++a1LeD1jnl1ysTXvjbFrPpc+bLo1b/sMf/vDSlfPsU49+9KPLvIHpXFSMC4yvp4zXlbo/+IM/6B/nrId3+UmfON0NhHratMiZ1qL1Oc95Th+wy933effdLHdcK+W0qqxfbJQX2Mzb0ioVtUUEXTuTjfpMP0LTHpd+6UtfWi666KJ28akY1y9E2qh1quf7rGc9q79je+6555aXv/zl9ei5v2/VuWbcCuZclzvNkx77Stmpz5+5KMnNoNGUPmy6lH5tV9NCclx57+a13T5zA/Hzn//8xNUaPV6m+4m1prrP2nhO6+Pvt37rt3YJAq11mWv5XfbDq171qu1PE5BIC/tJKY+81+erSdNt9fAcX7vWGWnZd9ppp01cpdT96vKf/izr/r8m/nDCiPy+67omj0pP66Ikdc/0N9elvIjixje+cffnhn/GKH3ldmlakCOPKZ988sndpNvyc7X1innPq6mX1n27LbLOmfNSysGklLpI16osrdhzM3E01eU3LyXIjdp50046fo8en0fzOE99dvQ30/5+4hOf2I9+1ateNfUYnf7f08ijS5txzdQtazWf9T5St1KfNI9F14UnLWc7D0856M7faaQxKbCX4/5rX/vaPitvetObynvf+97+b1/WLiAAuHa7Hf3L7GxdhSzBhFygjEtp1dF1wPyxj32s7bA3AZhJqes/LsGNuon9pOnHDa9bg+Rx5XE7e4YlOJHgSVcxHDevbljdbDwthboDTzd+rZ9xPPjgg9uf5+7EkUce2b5oY3R+Z5xxxi7Bioc85CElF70bnXKxmkBJTpxpqTXp7lQel6krzXmb9HZMqVznMYBHPepRu7R86tY1Ze5e97pX36fEzW52s/LLv/zL3eh1f+6zzz5ti9OU0XRgPZre/e53l2zbLniQMpr1GU25Y5jgWdeiJYHh3HHu3oQ1On3+zv6XSmm2Zx2s7abN3bPubn1aHeTRiXlTfbe7fqS+Ht7NK3c8uxsDs6btfpPPtIrK2/+69KIXvajti3JSQD6tZrKfZ1vXF1Td7/OZi/yuT5UEwjJd3njd+dfT5nsuHnM3P+ViVuu60d9u9t8pa9nOKT+jL33Jfp28150np2z86I/+6Kau5s1vfvNdupR47nOf2/49KWiZwHmC3QnSj6atONeMrkP+jntuPOW4Mfq27gQ2HvnIR5aun9ocjxKEHZfykqWuRWyC+2ktmWDZuOB9fp9zUlqRZ5/LBexOSLHKeifIMu7YleBHAkddimn2vbWmXCjkhWZJKWMPe9jDdgv656mGBM7zb566wVrXZdrvckFYX9DkLYZpBTp6XIpZ9u+UiVhu55Tjd30zK52y5+bxaJ5yrEp5SOAzKa1+1vtChBzXYtil3DzKDdfRm2YJvDz4wQ/ub9ClrjCtn+tufov+zDGiS9nn3/72t3d/9p+pc2Vfz6OQ3eOm/cht9KWuO6d7hFl9VT70oQ8teXlfbtJOOtYl8PmIRzyibxmb88gN/quVz3qznv0o+9WDHvSg3VoV5tiQmzs5LnUpZal7kqAbls/U5esbajmep/4y6bHuzDvbOcuNwU5IsUpdYr312dXkNef/7oZZzHL8q58i6eaVul+uQ7rW06nb5cb5dkz1PjJPi96NqAtvR5dJ65QgXvfETq6FcjNp3D7Y/T5lJPtflxI8nHRs6abxOVtgr9mTmGKIAqmg5s263d3HXHzl4i2tA+t0y1vesnTBq9wxy6NPOTEmCJEDcuaTO20JfqWvo1mVg3rek77nEeU0+84dwvzLzp+Kf/oDTGUzgY3uceQ0pU4FM+s4LaWVRvqsSrAh/3IRcs973rOkQ9nurnb6bcoFxWpS8p+LtqxH55N+LrK8VGryqEoqTfVjIOlzr76rtZrlrWXaHChzByX/8ihs1i/bL4Hd3K3NNs2/LqUV1/HHH9/9ua0+EzBL4CNlJJXsrGe2WyoyCUbVj+Xl4i8nmq4lxiIykv47UinJnctc5GT/iGdXLuuAWAJTObF15Wt0+Xkjd/a7tCZKJSwXBGldl8pB5pl9MdsuFzUJ/mUfm5ZyIk3lM3erk/KITYIOWefu5JryXgfhuvkliJ3l5o1cXcpFV9ZjXEpgs27NmmlyMTMrnXjiiSWV/+5u+hve8IaSO9B5LCT7RbZZgi4JfCXPXQuBLsg3Ov/s06l0Z/9LxTz7dt4ImjKcfTC/SwUyx5Fsm/S3tFNSXnCQ/TJ3wXO8yuPYacmSmx6pMNetHROQrR+n2Mw85hyS1tjppDkpgY4EBu54xzu2rVxT9lKGc1HWrfPznve83VZxK841u61EMyDBirTYyrEjjzHm8cOUp+QhN7+6Mpnf5pw5qdxnf0yQOeeZ9HGV82TynaBtymb2y1z4J6gYv5zTuoudWS+3GLfeWzEsx5jsswmYpj6QY3HO08lrznv1/pb9e9KNxnnXPaY5hnRBxfRNnONWytr1r3/99nz2/ve/v3/6II8A1xfx8y5nEdMdd9xx7U2itJbLjbfczEy5illa62bfjlHOHXlJQvaNuo/gRazDoueRmyepf2VfTvAtQcCTTjqpzVPKQYJ/efwy57OklO/U5VLfWG/KDY74dMeZ7Ed5I3T2v5wrc87Itq9bfqW85Zy62SktFrPsnHOyPrkpmPXIMS5uqSvn/JaUAFRuBk66EbbZ6z66vJxjs1/n5k3qI+kLMi3mEojvbmBmH+z2yZT1vMk9/1IvS7An3SGkPpFgZ87/mVd3Mzrnh0W2gH3qU5/aBh9zbMgxIXWVHGtTP8jxu745lYBSHVgYzXteQpDjfm74ZH1zrkv3JTnWpTVybrgmT6nff+ITn+jLXrx2QlpkfXbe/KY+nm4RcnMs9bK0mMs+nLpm9o+kj370o7s0pEhZyzVejv/bMaXO2TUISOu+NATIebC+9sgN7/qR90XXhbejy7h1yqP+9Q3O1Im67T5u+m5Yjqe55sjL5vLEQTyntazvfudzikBT+ZB2uEBzIF1pNnH7rwmIzJ2bZkdaaSptc/22qfStNB0x99N2y5v02ZwcV5pKzm7r0rQQ7OfRXMzuNr4b0DxOttIE1/ppxy2nucu20px8V5oKfj9d059FN4vdPpuLlJWmQtJPOzrP5tGkXX7zwhe+sJ+2eeRkl3GjfzQV05Wm1WM//ei8u7+boM9KE8gZ/fkufzcVrn4+TaumXcaN+2Na/psLyl22cbcekz6zjZsg0LjFrDRBy369Rq3G/WCebT3PNE2FuV9uU1lsF5Vt0wTW+uGj+WkCWitNB/DjVmvVw0bXsanQrzzucY+buOysS1MhXmn6IJprWc2dzpWm9d7U+dX5a+42rjQXi2Pn3ZwYV5rK0sR5Tdvnmgr8Lr9rgoljl5GBTaB1l2mzLXI8mTc1leiV5oJgl3nUeay/NxcZK9nXp6Um0LDSVPTnml/mHaO4j6bRbT06ftzfq91fx82jGza6jzU3VFaai4mp+WqCvCtN0LSbxW6fa8lTZhKfbjs0N312m289IMeZ5gJ96vG1m1dTiZ94jMk8F3Wuqddv1vfRY2gTxJi6H6VMNgHXWbNtxzcBw5XsW8l3ZzDts7kxs/Kyl71s7LwXWdbGLWC0/I2bZrRcNAHMlSYAPzVvzQXzShPgGDe7NQ1LWZtm2ATYVprg38q4c8foAueZZvQ3zZvQ++WnrExKTdBh5nGpaS3V7r/zznPSsurha9nn5y1bOdY0F7x9/idth+alTytNK496tdb9vbmhutIEHVey/01abobn3NIE8Gcub5HmowtrgkIrTau2ieuZPDRB4vZn89jPM029DqPHtHpc932eaTJtzvdNtx8T81KfH5rg4MTpRrdZc4NupemLr1udNX+O1tVT90odbHR59d9N4G8l5WlWyrmtaX26kmNK/ftJ35ug90rTynDsbDeyvGWBo8fmcSsxemxYdH123DLHDWtugKw0gZ+Zpk3gfCX1u2lpNE/Tpl3NuHk8M7+Uo+bGztS8TLqWW1RdeN59ucv/ao4ni/Rtbnb1Ts1NwZWmFWi3SjM/m8Bx/9tcCzY312b+xgSTBbZnOL05skobL5A+N3IHt+u3KS038tjKuBcm5C1sufObZrvpyy53YnPnJq0Xchcs80orldz5SsumtHCY1PJpnpw1J8q2b4jccc7dlK4lQVoq5U5qHgtMq5/VpDyWkNY0uWuc/qpyxzitaZrdYzWzGTttHufNY21pNRKftPjInYrcAc3dq9z1T39laQ2ymSl3V3OXLW9DTKuh5D+tvHIXJnemc9c+faCkhWXuYsWoqZhu5iquaVm5a57HFtLCIy0OUhbT2iCPweZue+4C13fb1rSQCT/KNk3Lvtw9zmdaeKT1RizT6qxB9QsAAEAASURBVDPD00S9vvs3YVbt4JSJlJ20NkpZz2PM2T5pCZdWmik/2bdSxtKib9rdsjxGk7KXloV5mUK2debTtciYth65U153mp+7spNSWuzlOJF5J+Vu52r68MljOI997GNLOqBuKlntOqc1ah4JSf+CuTOdPgWzDmlxWb9tdtw6pcuB3N1PK8r0v5jyntbIudufcnGta12rbSmUY0daFGe+2Te2e2oqaW1e0mIyLY1TTuKUlsfJSwxT3rc6xTItc5/85CeXP2wer8o2TauIrGvu2qclZrZnWo+ndVv9RujRdd/sc83o8vN3WlSmlU72h+yXeZwx54qsd1oE5ryZY+Y8KftwWl+n5W22Y8ppU6Fuj8tpVZKWMWlNkv06Pmld0/WxOc/8t3qaHGfToX5aO6Y1b9xy/Eq+8mhUWkPlsa9FnldS1nJc6M7laR2d41GOGzlGpp/BtJbtWlRulVFapqX1UFq8xCYtW1Jnyv4QmyYI0T51sJ660mbnLWUz2zp1wJTn9zet7nL+yxMQaWGefOXc3Nwk67uPWdQ65lieN0dm/0vLwtim64fsmznGp5VpykX6Zs7fW5myT6dVWJ4WSLcU2edT58oxPa25k4e0JNsJKevZ1SvS92bq43n0v2vFV+chLTRzrZDjXFr6paVrzsVpOZ06UVpTpxVh6u+pE2/EsS71kdR184RBHslMy9Ruv8u1RVorpr4zT8q5La1c00VO6vfJV14wk3p1WnPmuJN6V8p95pnyl/1gp6RF12fnzXfqtCknqa/lcfHUo3PNlJTjY64l80RW6jfb/fiY41KORbkeSF6y36fumSfAZqVF14VnLW8rx+dpna7rnWzTtLCd9zop6526Y+rBqW/kmiZdUmQ/364tQ7fSep5l75HY4DwTmoYAAQJbIZCLuJxgk1IZ2+qLuq0wsMzlEEiFqHuxUIIY+VvaeIEEqVKxTEpQOn9LBAgQILD9BdJtQ4J0SXlBzHr7nNz+ObaGBAgQWJ/A9m/qs778+TUBAgQIECBAgAABAgQIECBAgACBpRYQAFzqzS/zBAgQIECAAAECBAgQIECAAAECQxcQABz6FpY/AgQIECBAgAABAgQIECBAgACBpRYQAFzqzS/zBAgQIECAAAECBAgQIECAAAECQxcQABz6FpY/AgQIECBAgAABAgQIECBAgACBpRYQAFzqzS/zBAgQIECAAAECBAgQIECAAAECQxfYY6VJQ8+k/BEgQIAAAQIECBAgQIAAAQIECBBYVgEtAJd1y8s3AQIECBAgQIAAAQIECBAgQIDAUggIAC7FZpZJAgQIECBAgAABAgQIECBAgACBZRUQAFzWLS/fBAgQIECAAAECBAgQIECAAAECSyEgALgUm1kmCRAgQIAAAQIECBAgQIAAAQIEllVAAHBZt7x8EyBAgAABAgQIECBAgAABAgQILIWAAOBSbGaZJECAAAECBAgQIECAAAECBAgQWFaBvZY14/K9tQLf/e53yyc+8Yl2JQ488MCy116K4tZuEUsnQIAAAQIECBAgQIAAgSEKXHHFFeWyyy5rs/azP/uzZd999x1iNuVphoCoywwgozdGIMG/29/+9hszc3MlQIAAAQIECBAgQIAAAQIEdhP48Ic/XG53u9vtNtyA4Qt4BHj421gOCRAgQIAAAQIECBAgQIAAAQIEllhAC8Al3vhbmfU89tul3IE4+OCDuz99EiBAgAABAgQIECBAgAABAgsSuPTSS/sn8Opr8QXN3mx2iIAA4A7ZUENbzbrPvwT/Dj300KFlUX4IECBAgAABAgQIECBAgMC2EqivxbfVilmZDRfwCPCGE1sAAQIECBAgQIAAAQIECBAgQIAAga0TEADcOntLJkCAAAECBAgQIECAAAECBAgQILDhAgKAG05sAQQIECBAgAABAgQIECBAgAABAgS2TkAAcOvsLZkAAQIECBAgQIAAAQIECBAgQIDAhgsIAG44sQUQIECAAAECBAgQIECAAAECBAgQ2DoBAcCts7dkAgQIECBAgAABAgQIECBAgAABAhsuIAC44cQWQIAAAQIECBAgQIAAAQIECBAgQGDrBAQAt87ekgkQIECAAAECBAgQIECAAAECBAhsuIAA4IYTWwABAgQIECBAgAABAgQIECBAgACBrRMQANw6e0smQIAAAQIECBAgQIAAAQIECBAgsOECAoAbTmwBBAgQIECAAAECBAgQIECAAAECBLZOQABw6+wtmQABAgQIECBAgAABAgQIECBAgMCGCwgAbjixBRAgQIAAAQIECBAgQIAAAQIECBDYOgEBwK2zt2QCBAgQIECAAAECBAgQIECAAAECGy4gALjhxBZAgAABAgQIECBAgAABAgQIECBAYOsEBAC3zt6SCRAgQIAAAQIECBAgQIAAAQIECGy4wF4bvgQLILCTBS6/vJTzzy/lggtK+chHSrn44lK+//1S9tmnlEMPLeU2tynltrct5YgjStl7752cU+tOgAABAgQIECBAgAABAgQIDFRAAHCgG1a21ilwySWlvPa1pbzudaV8+cuTZ/bmN1857qCDSjnmmCv/HXLI5OmNIUCAAAECBAgQIECAAAECBAhssoBHgDcZ3OK2ucAVV5Ry0kml3OhGpbzkJdODf3VWEiQ88cQrf5ffZz4SAQIECBAgQIAAAQIECBAgQGAbCAgAboONYBW2icBnPnPlo7zHHnvlY75rWa08Hpzf55HgzE8iQIAAAQIECBAgQIAAAQIECGyxgADgFm8Ai98mAh//eCl3vnMpF164mBXKfO5yl1IyX4kAAQIECBAgQIAAAQIECBAgsIUCAoBbiL+eRX/3u98tr371q8uRRx5ZDjzwwOadFPuUQ5q+5+53v/uVt7zlLXPP+rzzziuPetSjyg1ucIOy7777loMPPrjc+973Ln/yJ38y9zx2/IRpqXfUUaVcdtlis/KVr1w5Xy0BF+tqbgQIECBAgAABAgQIECBAgMCqBPZYadKqfmHiLRf4p3/6p/KgBz2o5HNSShDvbW97W9lvv/0mTdJ0WXdiOeGEE8oPf/jDsdM84AEPKG9961vbwODYCdYx8OLmbbrXu9712jlcdNFFzQt1D13H3Nbx07zl9453XFzLv3GrkrcEN4HWspd37ozjMYwAAQIECBAgQIAAAQIENk5g21x/b1wWzXkOAS0A50DaTpNc1rRSO6pprdYF/x72sIeVv/iLvygf+chH2s/8nfSe97ynHH300RNX/fWvf305/vjj2+DfjW9843LaaaeVD3/4w+Xtb397ufvd797+7l3veld5/OMfP3EegxjxspdtbPAvSBdcUEqWIxEgQIAAAQIECBAgQIAAAQIEtkBAC8AtQF/PIp/61KeW3//9329nkQDei1/84t1ml+Fp3Zd01llnlYc+9KG7TPMf//Ef5YY3vGHJ50/8xE803d5dWH78x3+8n+YHP/hBechDHlISAEw6++yzy13vetd+/CK+bIs7EJdccuVbe/Pijo1OzSPa5XOfK81z2hu9JPMnQIAAAQIECBAgQIAAAQK9wLa4/u7XxpetEtACcKvk17DcBOb++I//uP3l9a9//fKiF71o7FyOO+64NrCXkS996Ut3m+Z1r3tdG/zLiJNPPnmX4F+G7bnnnm3/gvlM+u3f/u32c3D/vfa1a3/b72oxEmQ89dTV/sr0BAgQIECAAAECBAgQIECAAIF1CwgArptw82bwmeZlEmm1l5THgLsA3egaZHjGJ13QPH76hS98of3e/ZfHfJMOOOCA3VoHdtOkT7573vOe7Z/vfe97yze/+c1u1DA+0/dfEwjd1JQAYJYrESBAgAABAgQIECBAgAABAgQ2UUAAcBOx17uor371q/0srnOd6/Tfx32px59zzjn9JN9vWqKlr7+kOzYvv8jbgyelu93tbu2o733ve+Xv//7vJ022M4eff34pX/7y5q57lvehD23uMi2NAAECBAgQIECAAAECBAgQWHoBAcAdVATqN/r+53/+59Q1r8d/8pOf7KdNK8Irrrii/ftmN7tZP3zcl3r8pz71qXGT7NxheTHHVqStWu5W5NUyCRAgQIAAAQIECBAgQIAAgW0hsNe2WAsrMZfAT/7kT5a99967eYr08lK36hv343r8F7/4xX6Siy66qP+ex3ynpetd73r96Pp3/cApX9LJ6LR06aWXThu98eOatyZvSWpeuCIRIECAAAECBAgQIECAAAECBDZTQABwM7XXuay0ADzyyCPLe97znvIP//AP5cwzzyxHH330bnPN8E984hP98G984xtjv++///798HFf6haHq+0DsA4ejpv3lg+bEaDcsPXbquVuWIbMmAABAgQIECBAgAABAgQIENjuAh4B3u5baGT9TjjhhLLXXlfGbR/zmMeU3/iN3yhp4ZdWgfnM3xle9+33ne98p5/Ld7/73f57PU0/sPpy1atetf+rnkc/cCd/yVt5tyJt1XK3Iq+WSYAAAQIECBAgQIAAAQIECGwLAS0At8VmmH8lbn/725fTTjutPOEJTyh5oceLXvSi9l89h7wF+JWvfGV52tOe1g6+xjWu0Y/ed999++/5/bSUl3906WpXu1r3da7PWY8M5xHg5GXL0pSXn2zoOm3Vcjc0U2ZOgAABAgQIECBAgAABAgQIbGcBAcDtvHUmrNujH/3ocstb3rKcdNJJ7ePA3SO+V7nKVcrd7373dnj9+O41r3nNfk51MHDWY73f+ta3+t/Nely4n/C/vszqX3B0+k3/e0b/hxu2Plu13A3LkBkTIECAAAECBAgQIECAAAEC211AAHC7b6EJ65cA4Fvf+tbygx/8oKQ1XR7tve51r1uufvWrt78444wz+l/e4ha36L/XgblZL+qoW/Ft+z79+hzO+eU2tynlzW+ec+IFTnb44QucmVkRIECAAAECBAgQIECAAAECBGYLCADONtrWU+Rx3zqo163sueee230td7jDHfrvN73pTUt+k8Dhpz/96X74uC/1+Jvf/ObjJtm5w257261Z961a7tbk1lIJECBAgAABAgQIECBAgACBbSDgJSDbYCMsehXSt9/b3va2draHHHJIudOd7tQvIi/+6PreO++889p+BPuRI1/OPvvsdkheBnLboQWujjiilIMOGsnxBv+Z5VXB2A1emtkTIECAAAECBAgQIECAAAECBFoBAcABFoTf/d3fLZdddlmbsyc96Ulti786mw9+8IPbP7/+9a+XP/uzP6tH9d/zePD73ve+9u8jjzyy1H0H9hPt5C97712aN6lsbg6OOaaULFciQIAAAQIECBAgQIAAAQIECGyigADgJmIvalFf/OIXJ87qXe96V3nhC1/Yjr/JTW5SnvOc5+w27eMf//jyIz/yI+3wX/u1Xyv//u//vss0eTz4yU9+cvuYcEaMm8cuP9ipfzzxiaVs1lt5s5wEACUCBAgQIECAAAECBAgQIECAwCYLCABuMvgiFvczP/Mz5ed//ufL61//+pLHeC+88MJy1llnlUc84hHlgQ98YLn88stL3vz7lre8pey77767LfJa17pWOfnkk9vh//Iv/9L2EXj66aeXCy64oLzzne8sRx11VEkgMenoo49u3yzc/jG0/5rHo8txx21Oro4/vpQsTyJAgAABAgQIECBAgAABAgQIbLLAHitN2uRlWtw6Bfbff//yrW99a+Jc8tbfNzdvuL31rW89cZqMOL4JSr3kJS8pk4rAfe973zawOC6IOHXGc4zMI8bdm4XztuFxLzKZYzbrn+SKK0pJf4BNEHXDUvpPbAK1ZS/v3NkwYzMmQIAAAQIECBAgQIAAgbEC2+b6e+zaGbhZAloAbpb0ApeTln+Pfexjy0//9E+XtObLiz3yso/73Oc+5bTTTisf+9jHZgb/sjonnHBCyduCH/nIR7bBuMzn2te+dtsC8Iwzzijvfve7x7YgXGBWtn5WCcqdeWYpBx64MevSeJbGUvBvY3jNlQABAgQIECBAgAABAgQIEJgtoAXgbCNTbIDAtrsD8fGPlybyWZq3pywutwn+vfe9pRx22OLmaU4ECBAgQIAAAQIECBAgQGAVAtvu+nsV627SxQloAbg4S3PayQK3vGUpH/xgKYcfvphc5LHfpnWl4N9iOM2FAAECBAgQIECAAAECBAgQWLuAAODa7fxyaALNW5PL+eeXctJJa387cN72m9+nz7/MTyJAgAABAgQIECBAgAABAgQIbLGAAOAWbwCL32YC6RPw13+9lM997so3BB900HwrePDBeavKlb/L773wYz43UxEgQIAAAQIECBAgQIAAAQIbLuC1pBtObAE7UqB5qUrzlpRSjj22lA99qJQLLrjyTcHN24vL979/ZQvBQw+98pHhPO57hzuUsvfeOzKrVpoAAQIECBAgQIAAAQIECBAYtoAA4LC3r9ytVyBBvbvc5cp/652X3xMgQIAAAQIECBAgQIDAthe4/AeXl/MvPr9c8KULyke+/JFy8dcvLt//wffLPnvuUw494NBym4NuU2573duWIw49ouy9p4Yg236DWsFWQABQQSBAgAABAgQIECBAgAABAgSWXuCSr19SXnvha8vrPvK68uVvfnmix5v/4c3tuIP2P6gcc5tjyjGHH1MOOaB5ikwisI0F9AG4jTeOVSNAgAABAgQIECBAgAABAgQ2VuCKH15RTjrnpHKj37tReck5L5ka/KvXJEHCE885sf1dfp/5SAS2q4AA4HbdMtaLAAECBAgQIECAAAECBAgQ2FCBz/z7Z8oRrz+iHPt3x7aP+a5lYXk8OL/PfDI/icB2FBAA3I5bxToRIECAAAECBAgQIECAAAECGyrw8S9/vNz5DXcuF1564UKWk/nc5fS7lMxXIrDdBAQAt9sWsT4ECBAgQIAAAQIECBAgQIDAhgqkpd5Rf3RUuezbly10OV/51lfa+WoJuFBWM1uAgADgAhDNggABAgQIECBAgAABAgQIENgZAnnL79FnHb3w4F+X+wQVH/lnj9QnYAfic1sICABui81gJQgQIECAAAECBAgQIECAAIHNEHjZB1+2sMd+J63vBV+6oGQ5EoHtIiAAuF22hPUgQIAAAQIECBAgQIAAAQIENlTgkq9f0r65d0MX8l8zP+HsE0qWJxHYDgICgNthK1gHAgQIECBAgAABAgQIECBAYMMFXnvha9f8tt/VrlzeDnzqhaeu9memJ7AhAgKAG8JqpgQIECBAgAABAgQIECBAgMB2Ekjff6/7yOs2dZVO/cipJcuVCGy1gADgVm8ByydAgAABAgQIECBAgAABAgQ2XOD8i88vX/7mlzd8OfUCsrwPXfKhepDvBLZEQABwS9gtlAABAgQIECBAgAABAgQIENhMgbyYYyvSVi13K/JqmdtXQABw+24ba0aAAAECBAgQIECAAAECBAgsSOAjX/7Igua0utlceOmFq/uBqQlsgIAA4AagmiUBAgQIECBAgAABAgQIECCwvQQu/vrFW7JCW7XcLcmshW5bAQHAbbtprBgBAgQIECBAgAABAgQIECCwKIG8lXcr0lYtdyvyapnbV0AAcPtuG2tGgAABAgQIECBAgAABAgQILEhgnz33WdCcVjebrVru6tbS1EMXEAAc+haWPwIECBAgQIAAAQIECBAgQKAcesChW6KwVcvdksxa6LYVEADctpvGihEgQIAAAQIECBAgQIAAAQKLErjNQbdZ1KxWNZ/DDz58VdObmMBGCAgAboSqeRIgQIAAAQIECBAgQIAAAQLbSuC2173tlqzPVi13SzJrodtWQABw224aK0aAAAECBAgQIECAAAECBAgsSuCIQ48oB+1/0KJmN9d8srw7HHKHuaY1EYGNFBAA3Ehd8yZAgAABAgQIECBAgAABAgS2hcDee+5dnnCbJ2zquhxzm2NKlisR2GoBAcCt3gKWT4AAAQIECBAgQIAAAQIECGyKwBMPf2LZrLfyZjnHHH7MpuTLQgjMEhAAnCVkPAECBAgQIECAAAECBAgQIDAIgUMOOKQcd9fjNiUvx9/t+JLlSQS2g4AA4HbYCtaBAAECBAgQIECAAAECBAgQ2BSB59/l+WWj38ybF388787P25T8WAiBeQQEAOdRMg0BAgQIECBAgAABAgQIECAwCIG9rrJXOfMXziwHXv3ADcnPtfe7djnjoWeULEcisF0EBAC3y5awHgQIECBAgAABAgQIECBAgMCmCNzkx25S3vuo9y48CJjgX+ab+UsEtpOAAOB22hrWhQABAgQIECBAgAABAgQIENgUgVsedMvywcd9cGGPA+ex33Mfe2457DqHbcr6WwiB1QgIAK5Gy7QECBAgQIAAAQIECBAgQIDAYATSUu/8x59fTrrHSWt+O3De9pvfn/cr52n5N5iSMbyMCAAOb5vKEQECBAgQIECAAAECBAgQIDCnQPrq+/X/9uvlc0//XPuG4IP2P2iuXx68/8Elb/rN7/J7ff7NxWaiLRLQI+UWwVssAQIECBAgQIAAAQIECBAgsH0EDjngkHLC3U8ox9712PKhSz5ULvjSBeXCSy8sF3/94vL9H3y/bSF46AGHto8M53HfOxxyh7L3nntvnwxYEwJTBAQAp+AYRYAAAQIECBAgQIAAAQIECCyXQIJ6d/mJu7T/livncjtkAY8AD3nryhsBAgQIECBAgAABAgQIECBAgMDSCwgALn0RAECAAAECBAgQIECAAAECBAgQIDBkAQHAIW9deSNAgAABAgQIECBAgAABAgQIEFh6AQHApS8CAAgQIECAAAECBAgQIECAAAECBIYsIAA45K0rbwQIECBAgAABAgQIECBAgAABAksvIAC49EUAAAECBAgQIECAAAECBAgQIECAwJAFBACHvHXljQABAgQIECBAgAABAgQIECBAYOkFBACXvggAIECAAAECBAgQIECAAAECBAgQGLKAAOCQt668ESBAgAABAgQIECBAgAABAgQILL2AAODSFwEABAgQIECAAAECBAgQIECAAAECQxYQABzy1pU3AgQIECBAgAABAgQIECBAgACBpRcQAFz6IgCAAAECBAgQIECAAAECBAgQIEBgyAICgEPeuvJGgAABAgQIECBAgAABAgQIECCw9AICgEtfBAAQIECAAAECBAgQIECAAAECBAgMWUAAcMhbV94IECBAgAABAgQIECBAgAABAgSWXkAAcOmLAAACBAgQIECAAAECBAgQIECAAIEhCwgADnnryhsBAgQIECBAgAABAgQIECBAgMDSCwgALn0RAECAAAECBAgQIECAAAECBAgQIDBkAQHAIW9deSNAgAABAgQIECBAgAABAgQIEFh6AQHApS8CAAgQIECAAAECBAgQIECAAAECBIYsIAA45K0rbwQIECBAgAABAgQIECBAgAABAksvIAC49EUAAAECBAgQIECAAAECBAgQIECAwJAFBACHvHXljQABAgQIECBAgAABAgQIECBAYOkFBACXvggAIECAAAECBAgQIECAAAECBAgQGLKAAOCQt668ESBAgAABAgQIECBAgAABAgQILL2AAODSFwEABAgQIECAAAECBAgQIECAAAECQxYQABzy1pU3AgQIECBAgAABAgQIECBAgACBpRcQAFz6IgCAAAECBAgQIECAAAECBAgQIEBgyAICgEPeuvJGgAABAgQIECBAgAABAgQIECCw9AICgEtfBAAQIECAAAECBAgQIECAAAECBAgMWUAAcMhbV94IECBAgAABAgQIECBAgAABAgSWXkAAcOmLAAACBAgQIECAAAECBAgQIECAAIEhCwgADnnryhsBAgQIECBAgAABAgQIECBAgMDSCwgALn0RAECAAAECBAgQIECAAAECBAgQIDBkAQHAIW9deSNAgAABAgQIECBAgAABAgQIEFh6AQHApS8CAAgQIECAAAECBAgQIECAAAECBIYsIAA45K0rbwQIECBAgAABAgQIECBAgAABAksvIAC49EUAAAECBAgQIECAAAECBAgQIECAwJAFBACHvHXljQABAgQIECBAgAABAgQIECBAYOkFBACXvggAIECAAAECBAgQIECAAAECBAgQGLKAAOCQt668ESBAgAABAgQIECBAgAABAgQILL2AAODSFwEABAgQIECAAAECBAgQIECAAAECQxYQABzy1pU3AgQIECBAgAABAgQIECBAgACBpRcQAFz6IgCAAAECBAgQIECAAAECBAgQIEBgyAICgEPeuvJGgAABAgQIECBAgAABAgQIECCw9AICgEtfBAAQIECAAAECBAgQIECAAAECBAgMWUAAcMhbV94IECBAgAABAgQIECBAgAABAgSWXkAAcOmLAAACBAgQIECAAAECBAgQIECAAIEhCwgADnnryhsBAgQIECBAgAABAgQIECBAgMDSCwgALn0RAECAAAECBAgQIECAAAECBAgQIDBkAQHAIW9deSNAgAABAgQIECBAgAABAgQIEFh6AQHApS8CAAgQIECAAAECBAgQIECAAAECBIYsIAA45K0rbwQIECBAgAABAgQIECBAgAABAksvIAC49EUAAAECBAgQIECAAAECBAgQIECAwJAFBACHvHXljQABAgQIECBAgAABAgQIECBAYOkFBACXvggAIECAAAECBAgQIECAAAECBAgQGLKAAOCQt668ESBAgAABAgQIECBAgAABAgQILL2AAODSFwEABAgQIECAAAECBAgQIECAAAECQxYQABzy1pU3AgQIECBAgAABAgQIECBAgACBpRcQAFz6IgCAAAECBAgQIECAAAECBAgQIEBgyAICgEPeuvJGgAABAgQIECBAgAABAgQIECCw9AICgEtfBAAQIECAAAECBAgQIECAAAECBAgMWUAAcMhbV94IECBAgAABAgQIECBAgAABAgSWXkAAcOmLAAACBAgQIECAAAECBAgQIECAAIEhCwgADnnryhsBAgQIECBAgAABAgQIECBAgMDSCwgALn0RAECAAAECBAgQIECAAAECBAgQIDBkAQHAIW9deSNAgAABAgQIECBAgAABAgQIEFh6AQHApS8CAAgQIECAAAECBAgQIECAAAECBIYsIAA45K0rbwQIECBAgAABAgQIECBAgAABAksvIAC49EUAAAECBAgQIECAAAECBAgQIECAwJAFBACHvHXljQABAgQIECBAgAABAgQIECBAYOkFBACXvggAIECAAAECBAgQIECAAAECBAgQGLKAAOCQt668ESBAgAABAgQIECBAgAABAgQILL2AAODSFwEABAgQIECAAAECBAgQIECAAAECQxYQABzy1pU3AgQIECBAgAABAgQIECBAgACBpRcQAFz6IgCAAAECBAgQIECAAAECBAgQIEBgyAICgEPeuvJGgAABAgQIECBAgAABAgQIECCw9AICgEtfBAAQIECAAAECBAgQIECAAAECBAgMWUAAcMhbV94IECBAgAABAgQIECBAgAABAgSWXkAAcOmLAAACBAgQIECAAAECBAgQIECAAIEhCwgADnnryhsBAgQIECBAgAABAgQIECBAgMDSCwgALn0RAECAAAECBAgQIECAAAECBAgQIDBkAQHAIW9deSNAgAABAgQIECBAgAABAgQIEFh6AQHApS8CAAgQIECAAAECBAgQIECAAAECBIYsIAA45K0rbwQIECBAgAABAgQIECBAgAABAksvIAC49EUAAAECBAgQIECAAAECBAgQIECAwJAFBACHvHXljQABAgQIECBAgAABAgQIECBAYOkFBACXvggAIECAAAECBAgQIECAAAECBAgQGLKAAOCQt668ESBAgAABAgQIECBAgAABAgQILL2AAODSFwEABAgQIECAAAECBAgQIECAAAECQxYQABzy1pU3AgQIECBAgAABAgQIECBAgACBpRcQAFz6IgCAAAECBAgQIECAAAECBAgQIEBgyAICgEPeuvJGgAABAgQIECBAgAABAgQIECCw9AICgEtfBAAQIECAAAECBAgQIECAAAECBAgMWUAAcMhbV94IECBAgAABAgQIECBAgAABAgSWXkAAcOmLAAACBAgQIECAAAECBAgQIECAAIEhCwgA7tCt+/3vf7+cdtpp5d73vnc5+OCDy1WvetWy//77l5/6qZ8qj3vc48r5558/V87e8573lIc+9KHl0EMPbeeRz/yd4RIBAgQIECBAgAABAgQIECBAgMDOF9hjpUk7PxvLlYOLLrqo3O9+9yuf+MQnpmb8Wc96VnnFK15R9thjj92my2Z/0pOeVE499dTdxnUDjjnmmPKa17xm7O+7adb6efHFF5frXe967c+TnwQeJQIECBAgQIAAAQIECBAgQGCxAq6/F+u5U+emBeAO23JXXHHFLsG/ww47rPzhH/5hOe+888rf/M3flOOOO67st99+ba5OOeWU8vKXv3xsDo899tg++HfrW9+6nHnmmeXDH/5w+5m/kxIcfNGLXjT29wYSIECAAAECBAgQIECAAAECBAjsDAEtAHfGdurX8qyzziq/+Iu/2P59xzvesXzgAx8oe+65Zz8+Xy688MKScZdffnm55jWvWb7yla+Uvfbaq5/ms5/9bLn5zW9eEky87W1vW84555xytatdrR//7W9/u9ztbncrF1xwQfu7T3/60+XGN75xP34RX9yBWISieRAgQIAAAQIECBAgQIAAgekCrr+n+yzLWC0Ad9iW/uAHP9iv8Qte8ILdgn8Zefjhh5f73//+7XRf+9rXSgJ4dUrLwAT/kl71qlftEvzLsKtf/ert8HzPdK985SvzVSJAgAABAgQIECBAgAABAgQIENiBAgKAO2yj5eUfXbrRjW7Ufd3ts26x973vfa8fn77/3vGOd7R/3+xmNytHHHFEP67+kuF5oUjS29/+9qKryFrHdwIECBAgQIAAAQIECBAgQIDAzhEQANw526pd05ve9Kb9Gn/uc5/rv49++ed//ud2UF4AcpOb3KQf/fnPf75ccskl7d95zHda6sanufAXvvCFaZMaR4AAAQIECBAgQIAAAQIECBAgsE0FBAC36YaZtFpHH310OeCAA9rRJ598cvnBD36w26Qf/ehHy7vf/e52+CMe8Yh++gz41Kc+1U+fFoDTUj2+/t203xhHgAABAgQIECBAgAABAgQIECCwvQT+/zdDbK/1sjYTBA488MD2rb+/9Eu/VNIf4O1ud7vyzGc+s6Rl4De/+c122Cte8YqSR4Vvdatbld/5nd/ZZU4XXXRR//ehhx7afx/35XrXu14/uP5dP3DKl7QanJYuvfTSaaONI0CAAAECBAgQIECAAAECBAgQWJCAAOCCIDdzNg95yEPaN/QmuPeGN7yhPOYxj9ll8de5znXKCSecUI455piy33777TLuG9/4Rv/3/vvv338f96X+bYKLq0l18HA1vzMtAQIECBAgQIAAAQIECBAgQIDAYgU8ArxYz02Z2+WXX17OOOOM8q53vWvsyzn+9V//tZx55pnl/e9//27r893vfrcfts8++/Tfx3256lWv2g/+zne+03/3hQABAgQIECBAgAABAgQIECBAYOcIaAG4c7ZVu6bf+ta3yn3ve99yzjnnlD333LM873nPK4997GNL3gic4N6HPvShcuKJJ5Zzzz23POABDyinnHJKecYzntHnct999+2/128U7gdWX+q3B1/talerxsz+OuuR4TwCfPvb3372jExBgAABAgQIECBAgAABAgQIECCwLgEBwHXxbf6Pjz/++Db4lyWfdtppuzz+mxZ9Rx11VLn73e9e7nWve5W/+7u/K89+9rPbvw877LB2Za9xjWv0Kz3rsd4EG7s063Hhbrruc1b/gt10PgkQIECAAAECBAgQIECAAAECBDZWwCPAG+u70LmvrKyU008/vZ1nXvox2vdft7C99tqrvOQlL2n//OEPf9j/JgPqwNysF3XUrfj06dfp+iRAgAABAgQIECBAgAABAgQI7CwBAcAdtL3St99Xv/rVdo1vfetbT13zww8/vB//6U9/uv9+i1vcov9eD+8HVl/q8Te/+c2rMb4SIECAAAECBAgQIECAAAECBAjsFAEBwJ2ypZr1TMu+Ll1xxRXd17GfeVFIl+rf3fCGNyzXve5121Fnn312N8nYz/QzmHTIIYeUG9zgBu13/xEgQIAAAQIECBAgQIAAAQIECOwsAQHAHbS9rnWta5UDDjigXePzzjuvTAsC1sG9BP26tMcee5QHPehB7Z9p4Xf++ed3o3b5zPCuBWCmz+8kAgQIECBAgAABAgQIECBAgACBnScgALiDttlVrnKVcr/73a9d4y996UvlpJNOGrv2X/va18rzn//8ftz973///nu+PPOZz+xbEz7taU8r3/nOd3YZn78zPCmtBzO9RIAAAQIECBAgQIAAAQIECBAgsDMFBAB32HY77rjjytWvfvV2rV/84heXBz7wgeWss84qH/3oR0taBZ5yyinlVre6VfnkJz/ZTnPkkUe2bwSus5kXiDznOc9pB11wwQXlzne+c3nLW95S8j2f+Tvfk5773OeWm9zkJu13/xEgQIAAAQIECBAgQIAAAQIECOw8gT2aN8uu7LzVXu41ft/73leOPvro8m//9m9TIe5xj3uUt73tbeWa17zmbtPl7cBPeMITyhve8IbdxnUDfuVXfqWceuqpJS0PF53yBuLuzcJ523D9duJFL8v8CBAgQIAAAQIECBAgQIDAsgq4/l7WLb9rvhcf2dl1/v7aAIF73vOebf98J598cvm5n/u5cuCBB5a99967XO1qVyvp7+/hD394efvb314SKBwX/MsqJah32mmnlXe/+91tn4B5Mcg+++zTviAkff795V/+ZXn961+/IcG/DSAxSwIECBAgQIAAAQIECBAgQIAAgQkCWgBOgDF4YwXcgdhYX3MnQIAAAQIECBAgQIAAAQIRcP2tHERAC0DlgAABAgQIECBAgAABAgQIECBAgMCABQQAB7xxZY0AAQIECBAgQIAAAQIECBAgQICAAKAyQIAAAQIECBAgQIAAAQIECBAgQGDAAgKAA964skaAAAECBAgQIECAAAECBAgQIEBAAFAZIECAAAECBAgQIECAAAECBAgQIDBgAQHAAW9cWSNAgAABAgQIECBAgAABAgQIECAgAKgMECBAgAABAgQIECBAgAABAgQIEBiwgADggDeurBEgQIAAAQIECBAgQIAAAQIECBAQAFQGCBAgQIAAAQIECBAgQIAAAQIECAxYQABwwBtX1ggQIECAAAECBAgQIECAAAECBAgIACoDBAgQIECAAAECBAgQIECAAAECBAYsIAA44I0rawQIECBAgAABAgQIECBAgAABAgQEAJUBAgQIECBAgAABAgQIECBAgAABAgMWEAAc8MaVNQIECBAgQIAAAQIECBAgQIAAAQICgMoAAQIECBAgQIAAAQIECBAgQIAAgQELCAAOeOPKGgECBAgQIECAAAECBAgQIECAAAEBQGWAAAECBAgQIECAAAECBAgQIECAwIAFBAAHvHFljQABAgQIECBAgAABAgQIECBAgIAAoDJAgAABAgQIECBAgAABAgQIECBAYMACAoAD3riyRoAAAQIECBAgQIAAAQIECBAgQEAAUBkgQIAAAQIECBAgQIAAAQIECBAgMGABAcABb1xZI0CAAAECBAgQIECAAAECBAgQICAAqAwQIECAAAECBAgQIECAAAECBAgQGLCAAOCAN66sESBAgAABAgQIECBAgAABAgQIEBAAVAYIECBAgAABAgQIECBAgAABAgQIDFhAAHDAG1fWCBAgQIAAAQIECBAgQIAAAQIECAgAKgMECBAgQIAAAQIECBAgQIAAAQIEBiwgADjgjStrBAgQIECAAAECBAgQIECAAAECBAQAlQECBAgQIECAAAECBAgQIECAAAECAxYQABzwxpU1AgQIECBAgAABAgQIECBAgAABAgKAygABAgQIECBAgAABAgQIECBAgACBAQsIAA5448oaAQIECBAgQIAAAQIECBAgQIAAAQFAZYAAAQIECBAgQIAAAQIECPx/7N0JmFxVmTDgryEJEEAgkkBIwrAYFkWUNREh7AjiAoyK4AiDIuDCjI6Cy48gIjMCo4Aosk5UEBCRRVRQcFhkCZoguKFC2JIIBtlkkYQk/fd3Q9VUJ93VnU7X0lXveZ62b91z7lneU+1jPs+5hwABAgRaWEAAsIUn19AIECBAgAABAgQIECBAgAABAgQICAD6DhAgQIAAAQIECBAgQIAAAQIECBBoYQEBwBaeXEMjQIAAAQIECBAgQIAAAQIECBAgIADoO0CAAAECBAgQIECAAAECBAgQIECghQUEAFt4cg2NAAECBAgQIECAAAECBAgQIECAgACg7wABAgQIECBAgAABAgQIECBAgACBFhYQAGzhyTU0AgQIECBAgAABAgQIECBAgAABAgKAvgMECBAgQIAAAQIECBAgQIAAAQIEWlhAALCFJ9fQCBAgQIAAAQIECBAgQIAAAQIECAgA+g4QIECAAAECBAgQIECAAAECBAgQaGEBAcAWnlxDI0CAAAECBAgQIECAAAECBAgQICAA6DtAgAABAgQIECBAgAABAgQIECBAoIUFBABbeHINjQABAgQIECBAgAABAgQIECBAgIAAoO8AAQIECBAgQIAAAQIECBAgQIAAgRYWEABs4ck1NAIECBAgQIAAAQIECBAgQIAAAQICgL4DBAgQIECAAAECBAgQIECAAAECBFpYQACwhSfX0AgQIECAAAECBAgQIECAAAECBAgIAPoOECBAgAABAgQIECBAgAABAgQIEGhhAQHAFp5cQyNAgAABAgQIECBAgAABAgQIECAgAOg7QIAAAQIECBAgQIAAAQIECBAgQKCFBQQAW3hyDY0AAQIECBAgQIAAAQIECBAgQICAAKDvAAECBAgQIECAAAECBAgQIECAAIEWFhAAbOHJNTQCBAgQIECAAAECBAgQIECAAAECAoC+AwQIECBAgAABAgQIECBAgAABAgRaWEAAsIUn19AIECBAgAABAgQIECBAgAABAgQICAD6DhAgQIAAAQIECBAgQIAAAQIECBBoYQEBwBaeXEMjQIAAAQIECBAgQIAAAQIECBAgIADoO0CAAAECBAgQIECAAAECBAgQIECghQUEAFt4cg2NAAECBAgQIECAAAECBAgQIECAgACg7wABAgQIECBAgAABAgQIECBAgACBFhYQAGzhyTU0AgQIECBAgAABAgQIECBAgAABAgKAvgMECBAgQIAAAQIECBAgQIAAAQIEWlhAALCFJ9fQCBAgQIAAAQIECBAgQIAAAQIECAgA+g4QIECAAAECBAgQIECAAAECBAgQaGEBAcAWnlxDI0CAAAECBAgQIECAAAECBAgQICAA6DtAgAABAgQIECBAgAABAgQIECBAoIUFBABbeHINjQABAgQIECBAgAABAgQIECBAgIAAoO8AAQIECBAgQIAAAQIECBAgQIAAgRYWEABs4ck1NAIECBAgQIAAAQIECBAgQIAAAQICgL4DBAgQIECAAAECBAgQIECAAAECBFpYQACwhSfX0AgQIECAAAECBAgQIECAAAECBAgIAPoOECBAgAABAgQIECBAgAABAgQIEGhhAQHAFp5cQyNAgAABAgQIECBAgAABAgQIECAgAOg7QIAAAQIECBAgQIAAAQIECBAgQKCFBQQAW3hyDY0AAQIECBAgQIAAAQIECBAgQICAAKDvAAECBAgQIECAAAECBAgQIECAAIEWFhAAbOHJNTQCBAgQIECAAAECBAgQIECAAAECAoC+AwQIECBAgAABAgQIECBAgAABAgRaWEAAsIUn19AIECBAgAABAgQIECBAgAABAgQICAD6DhAgQIAAAQIECBAgQIAAAQIECBBoYQEBwBaeXEMjQIAAAQIECBAgQIAAAQIECBAgIADoO0CAAAECBAgQIECAAAECBAgQIECghQUEAFt4cg2NAAECBAgQIECAAAECBAgQIECAgACg7wABAgQIECBAgAABAgQIECBAgACBFhYQAGzhyTU0AgQIECBAgAABAgQIECBAgAABAgKAvgMECBAgQIAAAQIECBAgQIAAAQIEWlhAALCFJ9fQCBAgQIAAAQIECBAgQIAAAQIECAgA+g4QIECAAAECBAgQIECAAAECBAgQaGEBAcAWnlxDI0CAAAECBAgQIECAAAECBAgQIDAMQf8EFixYENdcc03ceOON8bvf/S6eeuqp4sFRo0bFFltsEXvssUe8853vjGHDkPZPVCkCBAgQIECAAAECBAgQIECAAIF6CIhW9UP56quvjqOPPjr+8pe/lEt3dnYW1x0dHXHHHXfEeeedF2PHjo2vf/3rsd9++5XLuSBAgAABAgQIECBAgAABAgQIECDQSAFbgPvQP/300+Of//mfi+BfKei3wQYbxOTJk2PSpEmR15kyLwOEWfaMM84o7vkPAgQIECBAgAABAgQIECBAgAABAo0WEACsMgPTpk2LY445pgjurb766nHKKafEX//615g5c2ax6u/OO+8srvNe5q2xxhpF2XzmrrvuqlKzLAIECBAgQIAAAQIECBAgQIAAAQL1ERAArOL81a9+NRYtWlQE9nKbbwb21l577aWeyHuZl2UyCJjP5LMSAQIECBAgQIAAAQIECBAgQIAAgUYLCABWmYHbbrst8h1/n/70p+O1r31tlZKLszbffPOibG4HvvXWW/ssrwABAgQIECBAgAABAgQIECBAgACBWgsIAFYRfvrpp4vcXXfdtUqp7lmlss8880z3DJ8IECBAgAABAgQIECBAgAABAgQINEBAALAKep7qO9C0PM8OtE3PESBAgAABAgQIECBAgAABAgQIEFhSQABwSZGKz3vssUfx6ZZbbqm4W/3y5ptvLgrstttu1QvKJUCAAAECBAgQIECAAAECBAgQIFAHAQHAKsif/OQnY5VVVokvf/nL8ec//7lKycVZWSZPA1511VWLQ0H6fEABAgQIECBAgAABAgQIECBAgAABAjUWEACsArzpppvGFVdcUZSYPHlynHHGGfHUU08t9US+K/DMM8+MHXbYoci7/PLLI5+VCBAgQIAAAQIECBAgQIAAAQIECDRaoKPrxNrORnei0e33tV13zpw5cf/99xcnAuepwBtuuGGMGTOm+PzXv/41HnrooSgxTpw4MdZbb70i7+c//3mjh9a07c+ePTsmTJhQ9G/WrFkxfvz4pu2rjhEgQIAAAQIECBAgQIAAgaEq4N/fQ3XmBrffwwa3uqFZW763LwN7pSBe5Sjyfillfv7MnDmz+Cndr/ydgcLcClz5XGW+awIECBAgQIAAAQIECBAgQIAAAQL1FBAA7NKeMmWKgF09v3XaIkCAAAECBAgQIECAAAECBAgQqJuAAGAXdenk3rqpa4gAAQIECBAgQIAAAQIECBAgQIBAnQQcAlInaM0QIECAAAECBAgQIECAAAECBAgQaISAAGAj1LVJgAABAgQIECBAgAABAgQIECBAoE4CAoB1gtYMAQIECBAgQIAAAQIECBAgQIAAgUYIeAdgl/qjjz5aE/v111+/JvWqlAABAgQIECBAgAABAgQIECBAgEB/BQQAu6Q23HDD/nr1u1xHR0csWLCg3+UVJECAAAECBAgQIECAAAECBAgQIFALAQHALtXOzs5a2KqTAAECBAgQIECAAAECBAgQIECAQMMFBAC7pmDq1KkNnwgdIECAAAECBAgQIECAAAECBAgQIFALAQHALtVDDz20FrbqJECAAAECBAgQIECAAAECBAgQINBwAacAN3wKdIAAAQIECBAgQIAAAQIECBAgQIBA7QQEAGtnq2YCBAgQIECAAAECBAgQIECAAAECDRcQAGz4FOgAAQIECBAgQIAAAQIECBAgQIAAgdoJCADWzlbNBAgQIECAAAECBAgQIECAAAECBBouIADY8CnQAQIECBAgQIAAAQIECBAgQIAAAQK1ExAArJ2tmgkQIECAAAECBAgQIECAAAECBAg0XEAAsOFToAMECBAgQIAAAQIECBAgQIAAAQIEaicgAFg7WzUTIECAAAECBAgQIECAAAECBAgQaLiAAGDDp0AHCBAgQIAAAQIECBAgQIAAAQIECNROQACwdrZqJkCAAAECBAgQIECAAAECBAgQINBwAQHAKlOwwgorxLBhw+LUU0+tUkoWAQIECBAgQIAAAQIECBAgQIAAgeYVEACsMjcjRoyIzs7O2GmnnaqUkkWAAAECBAgQIECAAAECBAgQIECgeQUEAKvMzXrrrVfkrrjiilVKySJAgAABAgQIECBAgAABAgQIECDQvAICgFXmZsqUKUXu3XffXaWULAIECBAgQIAAAQIECBAgQIAAAQLNKyAAWGVujj766MjVf//93/8df//736uUlEWAAAECBAgQIECAAAECBAgQIECgOQUEAKvMyzbbbBNnnXVWPPLII7HzzjvHHXfcUaW0LAIECBAgQIAAAQIECBAgQIAAAQLNJzCs+brUPD36wAc+UHRm0003jXvvvbc4DGTChAmx5ZZbxlprrVWsDuyttx0dHXHhhRf2lu0+AQIECBAgQIAAAQIECBAgQIAAgboIdHSdcttZl5aGYCMrrLBCZCCvlEpUlfdKeZW/s1yWWbhwYeVt1xUCs2fPjgymZpo1a1aMHz++ItclAQIECBAgQIAAAQIECBAgMBgC/v09GIpDvw4rAKvM4frrr98tAFilaF2ydtlll7jllluWqa2bbrop8rme0vXXXx/nnXde/PKXv4wnnngiRo8eHdtvv30cccQRsffee/f0iHsECBAgQIAAAQIECBAgQIAAAQJDTEAAsMqEPfzww1Vymz8rVzBOnDhxqY7mCsWjjjqqCP5VZs6ZMyeuuuqq4ieDgOecc05TBUAr++qaAAECBAgQIECAAAECBAgQIECgfwICgP1zaopSU6dOjRdeeKFqX/7whz/EgQceWJTZfffdY9y4cUuVP+6448rBv6222iqOPfbY2HjjjWPmzJlx6qmnxq9//esiP1cEfulLX1rqeTcIECBAgAABAgQIECBAgAABAgSGjoAA4NCZq9hwww377O1FF11ULnPIIYeUr0sXDzzwQBHky8/bbrtt3HrrrbHKKqsU2dttt1284x3vKE48nj59epxyyilx2GGHFcHB0vN+EyBAgAABAgQIECBAgAABAgQIDC2BFYZWdxvf29w+++STTxYHVzTbIR+LFi2K7373uwXSaqutFgcccMBSYKeffnosWLCguH/WWWeVg3+lgiNHjoy8nynLnXHGGaUsvwkQIECAAAECBAgQIECAAAECBIaggABgPyYtA325/XbKlCmRAbIxY8YUq/H+9Kc/dXv6Rz/6UbGd9uSTT+52v14ffv7zn0e+xy/Tu971rqKvlW1n8PKaa64pbm222WYxefLkyuzydd7fdNNNi89XX3115HMSAQIECBAgQIAAAQIECBAgQIDA0BSwBbiPeZs7d27st99+cdddd/UZCMsturmFtqOjI/bdd9944xvf2Eftg5v9ne98p1xhT9t/H3rooXKAcOeddy6X7eki8zPAmceF52Eo/dl+3FM97hEgQIAAAQIECBAgQIAAAQIECDRWwArAKv65pTYDetOmTSuCeu95z3vi61//eq9PvO51r4s3velNRX6eplvP9Pzzzxen92ab66+/fuyyyy5LNX/fffeV7+UKwGqpMr/yuWrPyCNAgAABAgQIECBAgAABAgQIEGg+ASsAq8xJrqj75S9/GcOHD48f/vCH8Za3vKUo/bGPfazXp97+9rfHnXfeGbfddluvZWqR8YMf/KB8QvD73//+ImC5ZDuzZs0q3xo/fnz5uqeLCRMmlG9XPld7XM23AABAAElEQVS+2cdFrhyslh577LFq2fIIECBAgAABAgQIECBAgAABAgQGSUAAsArkpZdeWgTSjjzyyHLwr0rxImurrbYqfi/5fsC+nlve/L62/2b9zz33XLmZPCSkWlp11VXL2bm6cFlTZQBxWZ9VngABAgQIECBAgAABAgQIECBAYPAEbAGuYnnPPfcUubkNuL8pDwjJlCcF1yvlarubb765aC4P8Nhkk016bPqll14q3x8xYkT5uqeLlVZaqXz7H//4R/naBQECBAgQIECAAAECBAgQIECAwNASsAKwynw988wzRW4pqFelaDnr5ZdfLq5XWKF+sdWLL7448n2FmQ499NDid0//sfLKK5dvz58/v3zd08W8efPKt1dZZZXydX8v+to2nFuAt99++/5WpxwBAgQIECBAgAABAgQIECBAgMAABQQAq8CttdZa8cQTTyzTar7S1t/Ro0dXqXlwsy666KKiwly1d+CBB/Za+eqrr17O62tb7wsvvFAu29d24XLBiou+3jFYUdQlAQIECBAgQIAAAQIECBAgQIBADQXqt0ythoOoVdWvfe1ri6qX5UCPSy65pHhv4DbbbFOrbnWrd/r06fGHP/yhuPe2t70tMmjZW6oMyvV1SEflCj7v8+tN1H0CBAgQIECAAAECBAgQIECAQPMLCABWmaN8919nZ2ecffbZ8dRTT1UpuThr6tSp8dOf/rT4sP/++/dZfjAKVB7+UW37b7ZVCmjm9R//+Mf81WuqzN988817LSeDAAECBAgQIECAAAECBAgQIECguQUEAKvMT57+u95668XcuXNjzz33jN///vc9ls7VckcffXR86EMfKlb/TZw4MQ4++OAeyw7mzXzf4GWXXVZUmVuO99lnn6rVb7jhhsV4stAtt9xSteytt95a5I8bNy422GCDqmVlEiBAgAABAgQIECBAgAABAgQINK+AAGCVucnDL6666qoYOXJk5InAW265ZbdVdEcddVTk6rgMkOUqwTyII9+Xd8UVV0Q9DgG57rrrincU5hAy4DhsWPVXOnZ0dMQ73/nOYsS5wm/atGk9jj7vl1YAZvl8TiJAgAABAgQIECBAgAABAgQIEBiaAgKAfczbdtttF3fccUdsscUWxXbgUmAsH7v99tsjD/3IbcL5k8HAvJdl65Eqt/8ecsgh/Wry4x//eDlQmKsW//GPf3R7Lj/n/UwZUMzyEgECBAgQIECAAAECBAgQIECAwNAVEADsx9y9/vWvj3vvvTeuvfbaOPzww+ONb3xjjB07NsaMGVOsCHzf+94X3/ve9+K3v/1t3YJ/Tz/9dPzoRz8qep8Bx6233rofI4nYZJNN4lOf+lRRNg8QefOb31z0Pa9zDPk5rzMdc8wxkduZJQIECBAgQIAAAQIECBAgQIAAgaErUH3P6NAdV016vu+++0b+NEPKYN28efOKrvR39V+p3yeffHLxXsP/+Z//iV//+tfx3ve+t5RV/v3BD34wvvSlL5U/uyBAgAABAgQIECBAgAABAgQIEBiaAlYADs15i4suuqjo+Yorrhi5AnFZUr6f8MILL4wf//jHxTsB86CTESNGFAeE5Dv/fvKTn8QFF1xQl/cYLku/lSVAgAABAgQIECBAgAABAgQIEFh2ASsAl92sKZ7Idw0ub3rrW98a+SMRIECAAAECBAgQIECAAAECBAi0roAAYD/n9m9/+1t8+9vfjhtvvDF+97vfxVNPPVU8OWrUqOK9f3vssUcceuihsfbaa/ezRsUIECBAgAABAgQIECBAgAABAgQI1F6go+v02s7aNzO0WzjjjDPi85//fLz44ovFQJYk6+joKO6PHDmyeG/ev//7vw/tAdeh97Nnz44JEyYULc2aNSvGjx9fh1Y1QYAAAQIECBAgQIAAAQIE2kvAv7/ba757G60VgL3JvHL/P/7jP+LMM8+MUtBvzTXXjK222irWWWed4t7cuXPjnnvuiTyV94UXXogs/8gjj8RXv/rVPmqWTYAAAQIECBAgQIAAAQIECBAgQKD2AgKAVYyvv/76yNV/mXKF2le+8pXYf//9Y9iw7mwLFy6MK6+8Mo455ph49NFHi4Dh3nvvHXvttVeV2mURIECAAAECBAgQIECAAAECBAgQqL2AU4CrGJ911llFbp6Se9ddd8W73/3upYJ/WSBP4s28adOmFSfp5r1cNSgRIECAAAECBAgQIECAAAECBAgQaLSAAGCVGfjVr34V+X6/z372szF27NgqJRdnrbvuukXZ3C6cz0oECBAgQIAAAQIECBAgQIAAAQIEGi0gAFhlBvKdfpkmTZpUpVT3rFLZ0rPdc30iQIAAAQIECBAgQIAAAQIECBAgUF8BAcAq3qWTaefNm1elVPesUtlx48Z1z/CJAAECBAgQIECAAAECBAgQIECAQAMEBACroO+7775F7nXXXVelVPesn/zkJ8WN0rPdc30iQIAAAQIECBAgQIAAAQIECBAgUF8BAcAq3p/61Kdi7bXXjq9+9atx++23Vym5OOuOO+6I008/PUaPHh35rESAAAECBAgQIECAAAECBAgQIECg0QICgFVmIE//zRV9ebjH7rvvHh//+MfjnnvuiUWLFpWfygM/8t4nPvGJ2G233YqyuWLQFuAykQsCBAgQIECAAAECBAgQIECAAIEGCnR0BbA6G9h+Uze90UYbFf178cUXY+7cucWJwHljxIgRMWrUqOLzk08+GfPnzy/KJeWYMWNi5MiRxeee/iNPFZ45c2ZPWW11b/bs2TFhwoRizLNmzYrS+xbbCsFgCRAgQIAAAQIECBAgQIBAjQX8+7vGwEOk+mFDpJ8N6ebDDz/crd1SrDQP+njssce65ZU+ZKCwWsoAoESAAAECBAgQIECAAAECBAgQIECgXgICgFWkDz300Cq5sggQIECAAAECBAgQIECAAAECBAg0v4AAYJU5mjp1apVcWQQIECBAgAABAgQIECBAgAABAgSaX8AhIM0/R3pIgAABAgQIECBAgAABAgQIECBAYMACAoADpvMgAQIECBAgQIAAAQIECBAgQIAAgeYXEABs/jnSQwIECBAgQIAAAQIECBAgQIAAAQIDFhAAHDCdBwkQIECAAAECBAgQIECAAAECBAg0v4AAYPPPkR4SIECAAAECBAgQIECAAAECBAgQGLCAAOCA6TxIgAABAgQIECBAgAABAgQIECBAoPkFBACbf470kAABAgQIECBAgAABAgQIECBAgMCABQQAB0znQQIECBAgQIAAAQIECBAgQIAAAQLNLyAA2PxzpIcECBAgQIAAAQIECBAgQIAAAQIEBiwgADhgOg8SIECAAAECBAgQIECAAAECBAgQaH4BAcDmnyM9JECAAAECBAgQIECAAAECBAgQIDBggWEDftKDhcC9994bV1xxRfztb3+LDTfcMP7lX/4l1ltvPToECBAgQIAAAQIECBAgQIAAAQIEmkJAALDKNPzqV7+Kj370ozFs2LD4yU9+EmuuuWa30ueee26R39nZWb5/8sknx5VXXhm77757+Z4LAgQIECBAgAABAgQIECBAgAABAo0SsAW4ivy1114b06dPj7XWWmup4N9DDz0U//Zv/xaLFi2KDACWfp577rl4z3veU6wIrFK1LAIECBAgQIAAAQIECBAgQIAAAQJ1ERAArMJ88803R0dHR+yzzz5LlTr77LPj5ZdfjlVWWaVY8ffss8/G5ZdfXnx+5pln4pxzzlnqGTcIECBAgAABAgQIECBAgAABAgQI1FtAALCK+Jw5c4rcLbbYYqlSV199dREcPPLII2O//faL1VdfPd71rnfFUUcdVawGvO6665Z6xg0CBAgQIECAAAECBAgQIECAAAEC9RYQAKwi/sQTTxS5o0aN6lYqA4MzZ84s7r373e/ulrfXXnsVn//0pz91u+8DAQIECBAgQIAAAQIECBAgQIAAgUYICABWUZ8/f36R+/zzz3cr9Ytf/KL4PHLkyNh+++275a2zzjrF53wXoESAAAECBAgQIECAAAECBAgQIECg0QICgFVmYPTo0UVuabVfqegNN9xQXE6ePDlWXHHF0u3i90svvVT8XmONNbrd94EAAQIECBAgQIAAAQIECBAgQIBAIwSGNaLRodLmtttuG9dcc01ceOGF8b73vS9WWGGFePLJJ4tDP/JwkN13332poZSChaWVgEsVcIMAAQIECBBoboGuQ75i2rSI6dMj7r47YvbsiNwVMGJExPjxEVtvHdH1vxGi6/8IjOHDm3ssekeAAAECBAgQIECgS0AAsMrX4JBDDikCgLnld8cdd4wddtghrr322sgTf4d3/Q/+DAoume64447i1iabbLJkls8ECBAgQIBAMwvk4V/nnhtx/vkRjz/ee08vvnhx3rrrRhxxxOKfceN6Ly+HAAECBAgQIECAQIMFbAGuMgH7779/cbJvZ2dn10KAaXH66afH/fffXzxx7LHHxoQJE7o9vXDhwqqrA7sV9oEAAQIECBBoDoEFCyJOPjlio40iTjqpevCvsscZJPziFxc/l89nPRIBAgQIECBAgACBJhSwArCPSbnsssvi7LPPju9///tdiwEej7Fjx8ahhx4ahx122FJPZtm//vWvxf0999xzqXw3CBAgQIAAgSYTyP9j76CDImbMGHjHcnvwccdFXHVVxKWXRkycOPC6PEmAAAECBAgQIECgBgIdXavbOmtQryoJVBWY3fU+pdIKylmzZnW9UqnrnUoSAQIECBCop8C990bk/2H3xBOD1+qYMRE/+1nEG94weHWqiQABAgQIECCwHAL+/b0ceC30qC3ALTSZhkKAAAECBAj0UyBX/g128C+bnjt3cb2vvDKkn71RjAABAgQIECBAgEBNBQQAq/BuuOGGsfHGG8cDDzxQpVT3rEcffbTrFUIbFc91z/GJAAECBAgQaAqBPOU3t/0O5sq/yoFlvQcf7J2AlSauCRAgQIAAAQIEGiogAFiF/5FHHomHH3445ue7ffqZXu76R0U+kz8SAQIECBAg0IQCp566fO/868+Qpk+PyHYkAgQIECBAgAABAk0gIADYBJOgCwQIECBAgECdBObMWXxybz2aO/HEiGxPIkCAAAECBAgQINBgAQHAQZ6AZ599tqhx5MiRg1yz6ggQIECAAIHlFjj33Oha2r/c1fSrgmznvPP6VVQhAgQIECBAgAABArUUEAAcZN2LL764qPGf/umfBrlm1REgQIAAAQLLJZDv/jv//OWqYpkfzgBgtisRIECAAAECBAgQaKDAsAa23XRN77bbbj326bDDDotVV121x7zSzXnz5sWDDz7Ydfjf3Ojo6Ii99tqrlOU3AQIECBAg0AwC06ZFPP54fXuS7d11V8SOO9a3Xa0RIECAAAECBAgQqBAQAKzAuPnmm4vgXWdnZ/luXv/qV78qf+7PRZ4C/NnPfrY/RZUhQIAAAQIE6iWQB3M0ImW7AoCNkNcmAQIECBAgQIDAKwICgBVfhSlTphQBwNKtW265pfi8zTbbVF0BmCv+Vl555Rg7dmzssMMO8d73vrdq+VL9fhMgQIAAAQJ1FLj77jo2VtHUjBkVH1wSIECAAAECBAgQqL+AAGCFea4ArEwrrLD4FYnf+ta34rWvfW1llmsCBAgQIEBgqAnMnt2YHjeq3caMVqsECBAgQIAAAQJNKCAAWGVSDjnkkGIF4FprrVWllCwCBAgQIEBgSAjU6/TfJTEa1e6S/fCZAAECBAgQIECgbQUEAKtMfa78kwgQIECAAIEWERgxojEDaVS7jRmtVgkQIECAAAECBJpQYPEe1ybsmC4RIECAAAECBAZVYPz4Qa2u35U1qt1+d1BBAgQIECBAgACBVhcQAGz1GTY+AgQIECBAYLHA1ls3RqLrMDGJAAECBAgQIECAQCMFbAHu0l9xxRWLOcjTfBcsWFCej9L98o1luFiyrmV4VFECBAgQIECgFgLbbluLWvuus1Ht9t0zJQgQIECAAAECBNpEQACwa6I7Ozt7nO7e7vdY2E0CBAgQIECguQUmT45Yd92Ixx+vXz+zvUmT6teelggQIECAAAECBAj0ICAA2IVywgkn9EDT+/0eC7tJgAABAgQINLfA8OERH/pQxEkn1a+fRxwRke1KBAgQIECAAAECBBoo0NG1yq3n5W8N7JSmW19g9uzZMWHChGKgs2bNivFekN76k26EBAgQaAaBOXMiNtooYv782vcmT/998MGIceNq35YWCBAgQIAAAQK9CPj3dy8wbXbbISBtNuGGS4AAAQIE2logg3HHH18fgtxhIPhXH2utECBAgAABAgQIVBUQAKzKI5MAAQIECBBoOYFPfzqi1ifz5sEfxx7bcnQGRIAAAQIECBAgMDQFBACH5rzpNQECBAgQIDBQgWFdr0C+9NKI0aMHWkP158aMibjkkohsRyJAgAABAgQIECDQBAL+l2k/J+HJJ5+MO++8s+tVPg/Gc889FwsXLuzzyePrtcWoz54oQIAAAQIECHQTmDgx4oYbIvbcM+KJJ7plLdeHDP5lvVm/RIAAAQIECBAgQKBJBAQA+5iIuXPnxic+8Ym44oorYsGCBX2U7p4tANjdwycCBAgQINBUAm94Q8Ttt0ccdFDEjBnL37Xc9psr/wT/lt9SDQQIECBAgAABAoMqYAtwFc6nn346dtxxx7jsssvi5ZdfjjwweVl+qlQtiwABAgQIEGgGgQzWTZsWcfLJEXlq70BSPpfPd+0UEPwbCKBnCBAgQIAAAQIEai0gAFhF+Mtf/nI88MADRdBvr732iuuvv75rl9ATxfbfRYsWRV8/VaqWRYAAAQIECDSLQL6r73Ofi673fCw+IXjddfvXs7FjI/Kk33wun/fOv/65KUWAAAECBAgQIFB3AVuAq5Bfc8010dHREfvuu2/88Ic/rFJSFgECBAgQIDDkBcaNizjxxIjjjou4666I6dMXbw2ePTti/vzFKwTHj198gnBu9500KWL48CE/bAMgQIAAAQIECBBofQEBwCpz/Oijjxa5H/3oR6uUkkWAAAECBAi0lEAG9bpeAVL8tNTADIYAAQIECBAgQKBdBWwBrjLzq622WpG7zjrrVCkliwABAgQIECBAgAABAgQIECBAgEDzCggAVpmb17/+9UXuI488UqWULAIECBAgQIAAAQIECBAgQIAAAQLNKyAAWGVujjzyyOIAkIsuuqhKKVkECBAgQIAAAQIECBAgQIAAAQIEmldAALDK3LznPe+Jgw46KK666qrIE4ElAgQIECBAgAABAgQIECBAgAABAkNNwCEgVWbs1ltvjcMPPzxyC/D/+3//L6688so4+OCDY7PNNouRI0dWeXJx1pQpU/osowABAgQIECBAgAABAgQIECBAgACBWgoIAFbR3WWXXaKjo6NcYsaMGZE//Un53IIFC/pTVBkCBAgQIECAAAECBAgQIECAAAECNRMQAOyDtrOzs48SsgkQIECAAAECBAgQIECAAAECBAg0r4AAYJW5uemmm6rkyiJAgAABAgQIECBAgAABAgQIECDQ/AICgFXmaOedd66SK4sAAQIECBAgQIAAAQIECBAgQIBA8ws4Bbj550gPCRAgQIAAAQIECBAgQIAAAQIECAxYQABwwHQeJECAAAECBAgQIECAAAECBAgQIND8AgKAzT9HekiAAAECBAgQIECAAAECBAgQIEBgwALeAfgK3UYbbbRMiB0dHbHqqqvGqFGjYsstt4zdd9893v72t8cKK4ipLhOkwgQIECBAgAABAgQIECBAgAABAjUVEAB8hffhhx+ODOp1dnb2GzzLZ/rFL34R3/jGN2KDDTaIqVOnxpQpU/pdh4IECBAgQIAAAQIECBAgQIAAAQIEaikgAPiK7vrrr18EAPuLnYHCF154IZ555plYuHBh8dhDDz1UrAS89tprY++99+5vVcoRIECAAAECBAgQIECAAAECBAgQqJmAAOArtLkCcCBp/vz5ce+998ZFF10U5557brz88svxvve9L7K+1VdffSBVeoYAAQIECBAgQIAAAQIECBAgQIDAoAl4Yd1yUo4YMSK22267+NrXvhbXXXddDBs2rFgVeMEFFyxnzR4nQIAAAQIECBAgQIAAAQIECBAgsPwCAoDLb1iuYbfddotDDjmkeI9gBgMlAgQIECBAgAABAgQIECBAgAABAo0WEAAc5Bl4xzveUdT4+9//fpBrVh0BAgQIECBAgAABAgQIECBAgACBZRcQAFx2s6pPjB8/vsh/6qmnqpaTSYAAAQIECBAgQIAAAQIECBAgQKAeAgKAg6y8YMGCosZ8F6BEgAABAgQIECBAgAABAgQIECBAoNECAoCDPAN//vOfixpHjx49yDWrjgABAgQIECBAgAABAgQIECBAgMCyCwgALrtZ1Scuvvji6OjoKE4GrlpQJgECBAgQIECAAAECBAgQIECAAIE6CAgADiLyKaecEj/72c+KGvfbb79BrFlVBAgQIECAAAECBAgQIECAAAECBAYm4EV1r7g9+uijyyz44osvxuOPPx533313XHrppcXvrGTzzTePAw88cJnr8wABAgQIECBAgAABAgQIECBAgACBwRYQAHxFdIMNNii27i4PcGdnZ4wZMyauuuqqWGEFiyuXx9KzBAgQIECAAAECBAgQIECAAAECgyMgSlXhmAG8gf6suOKK8d73vjfuueeemDhxYkWtLgkQIECAAAECBAgQIECAAAECBAg0TsAKwFfsDz300GWahTzoY5VVVolRo0bFlltuGVOmTIl11llnmepQmAABAgQIECBAgAABAgQIECBAgECtBQQAXxGeOnVqra3VT4AAAQIECBAgQIAAAQIECBAgQKDuArYA151cgwQIECBAgAABAgQIECBAgAABAgTqJyAAWD9rLREgQIAAAQIECBAgQIAAAQIECBCou4AAYN3JNUiAAAECBAgQIECAAAECBAgQIECgfgICgPWz1hIBAgQIECBAgAABAgQIECBAgACBugsIANadXIMECBAgQIAAAQIECBAgQIAAAQIE6icgAFg/ay0RIECAAAECBAgQIECAAAECBAgQqLuAAGDdyTVIgAABAgQIECBAgAABAgQIECBAoH4CAoD1s9YSAQIECBAgQIAAAQIECBAgQIAAgboLCADWnVyDBAgQIECAAAECBAgQIECAAAECBOonIABYP2stESBAgAABAgQIECBAgAABAgQIEKi7gABg3ck1SIAAAQIECBAgQIAAAQIECBAgQKB+AgKA9bPWEgECBAgQIECAAAECBAgQIECAAIG6CwgA1p1cgwQIECBAgAABAgQIECBAgAABAgTqJyAAWD9rLREgQIAAAQIECBAgQIAAAQIECBCou4AAYN3JNUiAAAECBAgQIECAAAECBAgQIECgfgICgPWz1hIBAgQIECBAgAABAgQIECBAgACBugsIANadXIMECBAgQIAAAQIECBAgQIAAAQIE6icgAFg/ay0RIECAAAECBAgQIECAAAECBAgQqLuAAGDdyTVIgAABAgQIECBAgAABAgQIECBAoH4CAoD1s9YSAQIECBAgQIAAAQIECBAgQIAAgboLCADWnVyDBAgQIECAAAECBAgQIECAAAECBOonIABYP2stESBAgAABAgQIECBAgAABAgQIEKi7gABg3ck1SIAAAQIECBAgQIAAAQIECBAgQKB+AgKA9bPWEgECBAgQIECAAAECBAgQIECAAIG6CwgA1p1cgwQIECBAgAABAgQIECBAgAABAgTqJyAAWD9rLREgQIAAAQIECBAgQIAAAQIECBCou4AAYN3JNUiAAAECBAgQIECAAAECBAgQIECgfgICgPWz1hIBAgQIECBAgAABAgQIECBAgACBugsIANadXIMECBAgQIAAAQIECBAgQIAAAQIE6icgAFg/ay0RIECAAAECBAgQIECAAAECBAgQqLuAAGDdyTVIgAABAgQIECBAgAABAgQIECBAoH4CAoD1s9YSAQIECBAgQIAAAQIECBAgQIAAgboLCADWnVyDBAgQIECAAAECBAgQIECAAAECBOonIABYP2stESBAgAABAgQIECBAgAABAgQIEKi7gABg3ck1SIAAAQIECBAgQIAAAQIECBAgQKB+AgKA9bPWEgECBAgQIECAAAECBAgQIECAAIG6CwgA1p1cgwQIECBAgAABAgQIECBAgAABAgTqJyAAWD/rQW/pb3/7W5x66qnx5je/OdZdd91YaaWVYr311otJkybFMcccE3feeWefbWaZ97///bHBBhvEyiuvHGPHjo299947Lrvssj6fVYAAAQIECBAgQIAAAQIECBAgQKD5BYY1fxf1sCeB73//+/HhD384nnzyyW7Zjz32WOTPL3/5y7j//vvj6quv7pZf+eGLX/xinHjiibFo0aLy7ccffzzy56c//WlccsklcfnllxeBwXIBFwQIECBAgAABAgQIECBAgAABAkNKQABwSE3X4s5+5zvficMOO6wI3I0ZM6YIBO64444xatSoIng3c+bMuPbaa2P48OG9ju6CCy6IE044ocjfeOON43Of+1y8/vWvj7/85S9x5plnxk033VTUcfjhh8fFF1/caz0yCBAgQIAAAQIECBAgQIAAAQIEmlugo7MrNXcX9a5S4L777outttoq5s2bFzvttFMRpFtjjTUqi5Sv58+fHyNGjCh/Ll0888wzseGGG0b+Xn/99WPGjBmx9tprl7Jj4cKFsf/++xd1581bbrklpkyZUs4fjIvZs2fHhAkTiqpmzZoV48ePH4xq1UGAAAECBAgQIECAAAECBAhUCPj3dwVGG196B+AQm/yjjz66CP5lwO7KK6+M3oJ/Oayegn95//zzzy+Cf3l9yimndAv+5b0VV1wxzj777OJ3fj7ttNPyl0SAAAECBAgQIECAAAECBAgQIDAEBQQAh9Ck/fGPf4yf//znRY8/9rGPLRW46+9QSu8FfNWrXhUHHHBAj4/lirw99tijyLvhhhvi+eef77GcmwQIECBAgAABAgQIECBAgAABAs0tIADY3PPTrXd58Ecpvfvd7y5dxtNPP10c+LHkgSDlAhUXuS04DwjJ9KY3vanXVYKZv/POO+evYsXhr371q+LafxAgQIAAAQIECBAgQIAAAQIECAwtAQHAITRf06ZNK3qb234333zz+O53vxtveMMbisM/Ntlkk2JF4EYbbVSc7Nvbir08GXjBggVFPZtttlnV0Vfm57sHJQIECBAgQIAAAQIECBAgQIAAgaEn4BTgITRnf/jDH4rebrDBBpHvAvzGN76xVO8feuih+MIXvhBXXHFF/PSnP4311luvW5k8cKOU+jp4o3RIR5avfK70fLXf+ZLRaumxxx6rli2PAAECBAgQIECAAAECBAgQIEBgkAQEAAcJsh7VPPXUU0Uz+S7Ae++9N9Zcc8348pe/XLzHL9/n99vf/jaOP/74uO666+J3v/td5DbhX/ziF7HCCv+30PO5554rd3W11VYrX/d0seqqq5Zv97aisFxgiYvK4OESWT4SIECAAAECBAgQIECAAAECBAjUUeD/IkN1bFRTAxN44YUXigfnzZtXnNCbgb4jjzwyRo8eHSuttFJsu+228aMf/Sj22Wefotwdd9xRnBRc2dpLL71U/tjbKcGlAllnKf3jH/8oXfpNgAABAgQIECBAgAABAgQIECAwhASsABxCk7XyyitHKQiYq/smT568VO9ztd9pp51WrALMzEsvvTTe9a53lctlHaWUB4JUSxloLKVVVlmldNmv331tGc4twNtvv32/6lKIAAECBAgQIECAAAECBAgQIEBg4AICgAO3q/uTq6++ejkAWFrl11MnXve618W4ceNizpw5seTpvVlHKfW1rbcUbMzyfW0XLtVZ+t3X+wVL5fwmQIAAAQIECBAgQIAAAQIECBCorYAtwLX1HdTaK9+r11eArVR27ty53fpQ+VxfB3VUruIr1detMh8IECBAgAABAgQIECBAgAABAgSaXkAAsOmn6P86mCv7SmnhwoWlyx5/l/KHDeu+yHOTTTYp3h+YD+VhItVSZf7mm29erag8AgQIECBAgAABAgQIECBAgACBJhUQAGzSiempW1OmTCnfnjlzZvm6p4sHH3ywuJ1bgStTHvxRevfenXfeGdXeA3jLLbcUj5YOGKmsxzUBAgQIECBAgAABAgQIECBAgMDQEBAAHBrzVPTyHe94RwwfPry4vvLKK3vteQbunnzyySJ/p512WqrcfvvtV9z7+9//vtQpwaXCuT34xhtvLD7uvvvuUfnuwFIZvwkQIECAAAECBAgQIECAAAECBJpfQACw+eeo3MNXv/rVcfjhhxefb7jhhrjsssvKeaWL5557Lj7+8Y+XPsaRRx5Zvi5dZB1rrLFG8fEzn/lMOVhYys/twx/5yEeitI34U5/6VCnLbwIECBAgQIAAAQIECBAgQIAAgSEmIAA4xCbsxBNPjPXXX7/o9fvf//44+uij46abbooZM2bEt771rWJ77z333FPkf/jDH47ttttuqRGOGjUqTjnllOL+I488EpMmTYqpU6fG9OnT44c//GHsueeece211xb5Bx10UOy6665L1eEGAQIECBAgQIAAAQIECBAgQIDA0BDo6OxKQ6OrelkSuO+++yK3Az/wwAOlW0v9/sAHPhDnnHNOecvwUgW6bpxwwglx0kknRW9fgbe+9a3xgx/8IFZeeeWeHl+ue7nFuHSycJ42XHk68XJV7GECBAgQIECAAAECBAgQIECgLODf32WKtr6wAnAITn+eyJur/E477bRi9V6u6MvDPTKIduCBB8b//u//xoUXXlg1+JfDztWEt912Wxx88MFFMC7rGDNmTLEC8JJLLokf//jHNQn+DUFyXSZAgAABAgQIECBAgAABAgQIDFkBKwCH7NQN7Y77fyCG9vzpPQECBAgQIECAAAECBAgMDQH//h4a81TrXloBWGth9RMgQIAAAQIECBAgQIAAAQIECBBooIAAYAPxNU2AAAECBAgQIECAAAECBAgQIECg1gICgLUWVj8BAgQIECBAgAABAgQIECBAgACBBgoIADYQX9MECBAgQIAAAQIECBAgQIAAAQIEai0gAFhrYfUTIECAAAECBAgQIECAAAECBAgQaKCAAGAD8TVNgAABAgQIECBAgAABAgQIECBAoNYCAoC1FlY/AQIECBAgQIAAAQIECBAgQIAAgQYKCAA2EF/TBAgQIECAAAECBAgQIECAAAECBGotIABYa2H1EyBAgAABAgQIECBAgAABAgQIEGiggABgA/E1TYAAAQIECBAgQIAAAQIECBAgQKDWAgKAtRZWPwECBAgQIECAAAECBAgQIECAAIEGCggANhBf0wQIECBAgAABAgQIECBAgAABAgRqLSAAWGth9RMgQIAAAQIECBAgQIAAAQIECBBooIAAYAPxNU2AAAECBAgQIECAAAECBAgQIECg1gICgLUWVj8BAgQIECBAgAABAgQIECBAgACBBgoIADYQX9MECBAgQIAAAQIECBAgQIAAAQIEai0gAFhrYfUTIECAAAECBAgQIECAAAECBAgQaKCAAGAD8TVNgAABAgQIECBAgAABAgQIECBAoNYCAoC1FlY/AQIECBAgQIAAAQIECBAgQIAAgQYKCAA2EF/TBAgQIECAAAECBAgQIECAAAECBGotIABYa2H1EyBAgAABAgQIECBAgAABAgQIEGiggABgA/E1TYAAAQIECBAgQIAAAQIECBAgQKDWAgKAtRZWPwECBAgQIECAAAECBAgQIECAAIEGCggANhBf0wQIECBAgAABAgQIECBAgAABAgRqLSAAWGth9RMgQIAAAQIECBAgQIAAAQIECBBooIAAYAPxNU2AAAECBAgQIECAAAECBAgQIECg1gICgLUWVj8BAgQIECBAgAABAgQIECBAgACBBgoIADYQX9MECBAgQIAAAQIECBAgQIAAAQIEai0gAFhrYfUTIECAAAECBAgQIECAAAECBAgQaKCAAGAD8TVNgAABAgQIECBAgAABAgQIECBAoNYCAoC1FlY/AQIECBAgQIAAAQIECBAgQIAAgQYKCAA2EF/TBAgQIECAAAECBAgQIECAAAECBGotIABYa2H1EyBAgAABAgQIECBAgAABAgQIEGiggABgA/E1TYAAAQIECBAgQIAAAQIECBAgQKDWAgKAtRZWPwECBAgQIECAAAECBAgQIECAAIEGCggANhBf0wQIECBAgAABAgQIECBAgAABAgRqLSAAWGth9RMgQIAAAQIECBAgQIAAAQIECBBooIAAYAPxNU2AAAECBAgQIECAAAECBAgQIECg1gICgLUWVj8BAgQIECBAgAABAgQIECBAgACBBgoIADYQX9MECBAgQIAAAQIECBAgQIAAAQIEai0gAFhrYfUTIECAAAECBAgQIECAAAECBAgQaKCAAGAD8TVNgAABAgQIECBAgAABAgQIECBAoNYCAoC1FlY/AQIECBAgQIAAAQIECBAgQIAAgQYKCAA2EF/TBAgQIECAAAECBAgQIECAAAECBGotIABYa2H1EyBAgAABAgQIECBAgAABAgQIEGiggABgA/E1TYAAAQIECBAgQIAAAQIECBAgQKDWAgKAtRZWPwECBAgQIECAAAECBAgQIECAAIEGCggANhBf0wQIECBAgAABAgQIECBAgAABAgRqLSAAWGth9RMgQIAAAQIECBAgQIAAAQIECBBooIAAYAPxNU2AAAECBAgQIECAAAECBAgQIECg1gLDat2A+gkQIECAQNMLvPxyxLRpEdOnR9x9d8Ts2RHz50eMGBExfnzE1ltHbLttxOTJEcOHN/1wdJAAAQIECBAgQIAAAQKVAgKAlRquCRAgQKC9BObMiTj33Ijzz494/PHex37xxYvz1l034ogjFv+MG9d7eTkECBAgQIAAAQIECBBoIgFbgJtoMnSFAAECBOoksGBBxMknR2y0UcRJJ1UP/lV2KYOEX/zi4ufy+axHIkCAAAECBAgQIECAQJMLCAA2+QTpHgECBAgMssD99y/eynvccYu3+Q6k+twenM/nluCsTyJAgAABAgQIECBAgEATCwgANvHk6BoBAgQIDLLAvfdGvPnNETNmDE7FWc+OO0ZkvRIBAgQIECBAgAABAgSaVEAAsEknRrcIECBAYJAFcqXenntGPPHE4FY8d+7ieq0EHFxXtREgQIAAAQIECBAgMGgCAoCDRqkiAgQIEGhagTzl96CDBj/4VxpwBhUPPtg7AUsefhMgQIAAAQIECBAg0FQCAoBNNR06Q4AAAQI1ETj11MHb9ttbB6dPj8h2JAIECBAgQIAAAQIECDSZgABgk02I7hAgQIDAIAvMmbP45N5BrrbH6k48MSLbkwgQIECAAAECBAgQINBEAgKATTQZukKAAAECNRA499yBn/a7rN3J04HPO29Zn1KeAAECBAgQIECAAAECNRUQAKwpr8oJECBAoKEC+e6/88+vbxcyAJjtSgQIECBAgAABAgQIEGgSAQHAJpkI3SBAgACBGghMmxbx+OM1qLhKldneXXdVKSCLAAECBAgQIECAAAEC9RUQAKyvt9YIECBAoJ4CeTBHI1Kj2m3EWLVJgAABAgQIECBAgEDTCwgANv0U6SABAgQIDFjg7rsH/OhyPThjxnI97mECBAgQIECAAAECBAgMpoAA4GBqqosAAQIEmktg9uzG9KdR7TZmtFolQIAAAQIECBAgQKDJBQQAm3yCdI8AAQIElkMgT+VtRGpUu40YqzYJECBAgAABAgQIEGh6AQHApp8iHSRAgACBAQuMGDHgR5frwUa1u1yd9jABAgQIECBAgAABAq0qIADYqjNrXAQIECAQMX58YxQa1W5jRqtVAgQIECBAgAABAgSaXEAAsMknSPcIECBAYDkEtt56OR5ejke32WY5HvYoAQIECBAgQIAAAQIEBldAAHBwPdVGgAABAs0ksO22jelNo9ptzGi1SoAAAQIECBAgQIBAkwsIADb5BOkeAQIECCyHwOTJEeuuuxwVDODRbG/SpAE86BECBAgQIECAAAECBAjURkAAsDauaiVAgACBZhAYPjziQx+qb0+OOCIi25UIECBAgAABAgQIECDQJAICgE0yEbpBgAABAjUSOPLIiHqdypvtZABQIkCAAAECBAgQIECAQBMJCAA20WToCgECBAjUQGDcuIjjj69BxT1UecIJEdmeRIAAAQIECBAgQIAAgSYSEABsosnQFQIECBCokcCnPx1R65N58+CPY4+t0QBUS4AAAQIECBAgQIAAgYELCAAO3M6TBAgQIDBUBIYNi7j00ojRo2vT4zFjIi65JCLbkQgQIECAAAECBAgQINBkAgKATTYhukOAAAECNRKYODHihhsGPwiYwb+sN+uXCBAgQIAAAQIECBAg0IQCAoBNOCm6RIAAAQI1EnjDGyJuv33wtgPntt/bbovYcssadVi1BAgQIECAAAECBAgQWH4BAcDlN1QDAQIECAwlgVypN21axMknD/x04DztN5+/804r/4bS3OsrAQIECBAgQIAAgTYVEABs04k3bAIECLS1QL6r73Ofi3jwwcUnBK+7bv84xo6NyJN+87l83jv/+uemFAECBAgQIECAAAECDRXwtvKG8mucAAECBBoqMG5cxIknRhx3XMRdd0VMnx4xY0bE7NkR8+cvXiE4fvziLcO53XfSpIjhwxvaZY0TIECAAAECBAgQIEBgWQUEAJdVTHkCBAgQaD2BDOrtuOPin9YbnRERIECAAAECBAgQINDmArYAt/kXwPAJECBAgAABAgQIECBAgAABAgRaW0AAsLXn1+gIECBAgAABAgQIECBAgAABAgTaXEAAsM2/AIZPgAABAgQIECBAgAABAgQIECDQ2gICgK09v0ZHgAABAgQIECBAgAABAgQIECDQ5gICgG3+BTB8AgQIECBAgAABAgQIECBAgACB1hYQAGzt+TU6AgQIECBAgAABAgQIECBAgACBNhcQAGzzL4DhEyBAgAABAgQIECBAgAABAgQItLaAAGBrz6/RESBAgAABAgQIECBAgAABAgQItLmAAGCbfwEMnwABAgQIECBAgAABAgQIECBAoLUFBABbe36NjgABAgQIECBAgAABAgQIECBAoM0FBADb/Atg+AQIECBAgAABAgQIECBAgAABAq0tIADY2vNrdAQIECBAgAABAgQIECBAgAABAm0uIADY5l8AwydAgAABAgQIECBAgAABAgQIEGhtAQHA1p5foyNAgAABAgQIECBAgAABAgQIEGhzAQHANv8CGD4BAgQIECBAgAABAgQIECBAgEBrCwgAtvb8Gh0BAgQIECBAgAABAgQIECBAgECbCwgAtvkXwPAJECBAgAABAgQIECBAgAABAgRaW0AAsLXn1+gIECBAgAABAgQIECBAgAABAgTaXEAAsM2/AIZPgAABAgQIECBAgAABAgQIECDQ2gICgK09v0ZHgAABAgQIECBAgAABAgQIECDQ5gICgG3+BTB8AgQIECBAgAABAgQIECBAgACB1hYQAGzt+TU6AgQIECBAgAABAgQIECBAgACBNhcQAGzzL4DhEyBAgAABAgQIECBAgAABAgQItLaAAGBrz6/RESBAgAABAgQIECBAgAABAgQItLmAAGCbfwEMnwABAgQIECBAgAABAgQIECBAoLUFBABbe36NjgABAgQIECBAgAABAgQIECBAoM0FBADb/Atg+AQIECBAgAABAgQIECBAgAABAq0tIADY2vNrdAQIECBAgAABAgQIECBAgAABAm0uIADY5l8AwydAgAABAgQIECBAgAABAgQIEGhtAQHA1p5foyNAgAABAgQIECBAgAABAgQIEGhzAQHANv8CGD4BAgQIECBAgAABAgQIECBAgEBrCwgAtvb8Gh0BAgQIECBAgAABAgQIECBAgECbCwgAtvkXwPAJECBAgAABAgQIECBAgAABAgRaW0AAsLXn1+gIECBAgAABAgQIECBAgAABAgTaXEAAsM2/AIZPgAABAgQIECBAgAABAgQIECDQ2gICgK09v0ZHgAABAgQIECBAgAABAgQIECDQ5gICgG3+BTB8AgQIECBAgAABAgQIECBAgACB1hYQAGzt+TU6AgQIECBAgAABAgQIECBAgACBNhcQAGzzL4DhEyBAgAABAgQIECBAgAABAgQItLaAAGBrz6/RESBAgAABAgQIECBAgAABAgQItLmAAGCbfwEMnwABAgQIECBAgAABAgQIECBAoLUFhrX28Iyu1QVeeumleOaZZ+LFF1+MhQsXtvpwjY9AXQVWXHHFGDlyZKy55pqx8sor17VtjREgQIAAAQIECBAgQIDA4AkIAA6epZrqKNDZ2RmPPfZYPPvss3VsVVME2ktgwYIFMW/evHj66adjjTXWiLFjx0ZHR0d7IRgtAQIECBAgQIAAAQIEWkBAALAFJrEdh/Dkk08uFfwbNszXuR2/C8ZcO4EMAJZSBttHjBgRa6+9dumW3wQIECBAgAABAgQIECAwRARETIbIROnm/wnMnz8/nnjiifKNMWPGFFsUc7uiRIDA4AnktvrcYj937tyi0vy7e9WrXlUEAgevFTURIECAAAECBAgQIECAQK0FHAJSa2H1D7rA888/X67z1a9+deSP4F+ZxAWBQRPIv6vS31ip0sq/v9I9vwkQIECAAAECBAgQIECguQUEAJt7fvSuB4EXXnihfDdXI0kECNRWoPLvrPLvr7atqp0AAQIECBAgQIAAAQIEBktAAHCwJNVTN4HcApwpDyNYaaWV6tauhgi0q0D+nZUO/yj9/bWrhXETIECAAAECBAgQIEBgKAoIAA7FWWvzPi9atKgQyO2JpaBEm5MYPoGaCuTfWWmbfenvr6YNqpwAAQIECBAgQIAAAQIEBlVAAHBQOVVGgAABAgQIECBAgAABAgQIECBAoLkEBACbaz767E2uxOnPzy677NJnXddff30ccMABMX78+GIrbf7Oz3lfIkCAAAECBAgQIECAAAECBAgQaA0BAcDWmMdlGkVnZ2cceeSRsc8++8RVV10Vc+bMiXyvV/7Oz3k/87OcRIAAAQIECBAgQIAAAQIECBAgMLQFhg3t7rdv7z/84Q/HRz7ykV4BVl111V7zjjvuuDjvvPOK/K222iqOPfbY2HjjjWPmzJlx6qmnxq9//esif/To0fGlL32p13pkECBAgAABAgQIECBAgAABAgQINL+AAGDzz1GPPRwzZkxsscUWPeZVu/nAAw8UQb4ss+2228att94aq6yySvHIdtttF+94xzti5513junTp8cpp5wShx12WBEcrFZnW+e9/HLEtGnRBRZx990Rs2dH13LKiBEjomtvdcTWWyd0xOTJEcOHtzWVwRMgQIAAAQIECBAgQIAAAQKNEbAFuDHuDWv19NNPjwULFhTtn3XWWeXgX6lDI0eOjLyfKcudccYZpSy/KwW6tkvH8cdHrL9+xJQpEf/xHxEXXxxx880Rd9yx+Hd+zvuZn+VOOCG69llX1uJ6gAL5vsp8F+bhhx8+wBra87Edd9yxcNtjjz3aE8CoCRAgQIAAAQIECBAg0KYCAoBtNPH5Tr9rrrmmGPFmm23WtSita1VaDynvb7rppkXO1Vdf7V2AlUYZPD355IiNNoo46aSIxx+vzO39Ost98YuLn8vnXwnC9v5Ac+Xc3BXY7O3wmVxBmgG5fHfk2WefHc8//3xzdV5vCBAgQIAAAQIECBAgQIBAmwsIALbRF+Chhx4qDvrIIec232qplD+7a0vrww8/XK1o++Tdf//irbxd71AstvkOZOS5PTifz+Br1tcC6aWXXiq+V3l69Ec/+tFia/q9997bAiMb+BCstBu4nScJECBAgAABAgQIECBAYPAFBAAH37QuNX7/+98vVunl6qvVV189Jk6cGIceemjcdNNNvbZ/3333lfNyBWC1VJlf+Vy1Z1o6LwNab35zxIwZgzPMrKdrO2YMwUBZHkDz29/+tvyT37lzzjknNtlkk8LmkUceKVYDPvfcc4Nj1UMtGZjOFa0XXHBBD7luESBAgAABAgQIECBAgAABApUCwyo/uB46An/4wx+6dTYP98if73znO7HffvvFt771rVhjjTW6lZk1a1b5c27ZrJYmTJhQzq58rnyzj4sM0FRLjz32WLXs5srLlXp77hnxxBOD26+5cxfXe/vt0RXBHdy6a1hbTwfQ7LLLLsWBMbkN+H//938j5zdPmv7kJz9Zw56omgABAgQIECBAgAABAgQIEOiPgABgf5SaqEwe0pEn9e6+++6Rq/RWW221rrjUE3HLLbcUq7CefPLJyPf2vfOd74wbbrih6+DZ4eXeV67IyueqpVVXXbWcPZB3ulUGEMsVDcWLPOX3oIMGP/hXssig4sEHR9x5Z8Swof3nOKLr5OMvfOELRQAwh5ffPwHA0kT7TYAAAQIECBAgQIAAAQIEGidgC3Dj7AfU8pyuU2QvvfTS4vTTfM/YG9/4xq7FaXvGl770pfj9738fW221VVFvBgS/+c1vdmsj39VWShmsqZZWWmmlcvY//vGP8nXbXZx66uBt++0Nb/r0iGynBdLWW29dHkVfK0czWP3FroNR8tCZtddeO/I7t9566xUrWK+66qpyPT1d9PcU4OzDpz/96eLvYq211oqVV16560Dm9btiugcVQfOe6l7y3tyulZoZ2Nxhhx1i9OjRRT+zjvz7O6nrIJg///nP5Uf+5V/+pTgs5fZc1dmVfv7zny91eMprXvOacvnKixdeeCHylO5cTbnOOutE/o3m77e85S3Fit6FCxdWFu/xOtv953/+51h33XWLsW7UdVjNkUce2fW6ydZ432SPg3aTAAECBAgQIECAAAECBPoUGNpLjvocXusVWHPNNXsdVAYLrrjiith88827zqiYH2eddVb827/9W7l8Bj9KKfOrpXnz5pWz8z2Dy5r6Cv7kFtHtt99+Wautb/muYGtxcm89Wj3xxOh6iWPEuHH1aK1mbay44orluocN6/2/Xq699tp4//vfH88++2y5fF7k9yJPqs6fXOl6ySWXROVq1G6F+/iQW5D//d//PSoD3/lIfjcvu+yy4ieDY9/4xjeist+V1eaW+nzn4Ysvvlh5u6gj68mA27e//e1i+323Asv44a677ooDDjgg/vKXv3R7MoOPP/vZz4qfHE+6ZBCyp3TKKafEZz/72W6ndufBP/lc/p8G+d8NEgECBAgQIECAAAECBAi0p0Dv/0JvT48hP+pc8ZMrAn/84x8XQYkMKOSqqkx5WEgp9bWtN1cjlVJf24VL5Sp/9/WOwcqyTXt97rkDP+13WQeVAdmuQE1kIHAIp8p3U26wwQY9juS6666L/fffP3JFW35fjzrqqJg0aVK86lWvinx3ZAb9MmD1wx/+MD7wgQ/E9773vR7rqXYzg14Z3Mu05ZZbxhFHHFGsAsxg9oMPPlgcHpKnFp/bNcf5rswMni2Zpk6dWrSf9/O5rCNX4+XqutxO/5vf/CYykJlBtlL68pe/HJ/5zGfikEMOiV//+tfF6sbzzz+/lF38rlxdmzfyxORdd901cqVtBvEz4JirC0eNGlVs788t/TmeO7u2iafbzTff3LVbvPt/dadRtpsp/0+CvM6TvBctWlRsyT61a4VprnrMVZASAQIECBAgQIAAAQIECLSfQPd/Rbbf+FtyxK997WuLAGAOLrcMlwKAlUG5vg7pqFzB1zLv81uW2c53/y0RuFmWxwdUNgOAxx0XXS9uHNDjzfDQf//3f5e78a53vat8XbrIwFmeVp3Bvzww5Ac/+EERXCvl55b2t73tbbHTTjvFRz7ykbj88suLkWOyBQAAQABJREFU3xnM6m96+OGHi5V/Wf6DH/xgEeSrXOGX2+Rzm2xuDc7A2Fe+8pUiWJjByFLKv49sP1MG/HIrb/5dVaYpU6bExz72sSJoWbqff2P5k+/qzJSrF7fYYotS9lK/M0B3cNc7IDP4l9un872JGfirTHvttVfsu+++xYrIXHH43e9+tzAslckVjrnSMVMG+DJQuOmmm5ayi63LuZryzV2nWM+cObN83wUBAgQIECBAgAABAgQItI+AdwC24Fx3dnb2OKrKAMYf//jHHsuUblbm55bitkvTpkU8/nh9h53tdW0FHWop3+V32223xVvf+tZi5V72/01velO8973vXWooF154YbGqLQNkub22t+3luQqu9D7BXIm3LOmMM84otv1m4Lra9t58b2YG9zIYmX2pTGeeeWZ563Cu4Kv826ksl9eVgfUl8/r6nKscS6smsw9LBv9Kz2cAME/3zrSkx5VXXhl//etfi7wTTjihW/CvuNn1H7kKMrcHSwQIECBAgAABAgQIECDQngICgC0476WAQg6ttPovrzfccMPy5zwkpFq69dZbi+xxXe+k620rZ7Xnh3xeHszRiNSodpdhrCd2bVPu6Ogo/+QBHrliL7f25tbUPAgjt9dWnkBdqj7fYZcpt7zmc9VSrrDLlCvaliWV2shVb0tut62sJ/uXB5BkWrKN3EKfKQ/syBWJtUqlvr7uda+L/KmWSh75vsDKIP+NN95YPLbCCisUW497qyO3U0sECBAgQIAAAQIECBAg0J4CtgC32Lzn+81yG2Gm3NKYAbxSyqDNO9/5zuJ04FzhN61rlVspAFIqk7/zfmkFYJbP59ou3X13Y4Y8Y0Zj2h2kVjfZZJM49thji/f59VTl9FcCnBlg6+/36vFlWImZqxFzC3CmXP2XP/1JlW3kltr77ruveKwUdOtPHQMpU/LIE7z765H9e+aZZ8rv8/vtb39bNJ3Bymrv+MvVjrkqsnJ7/0D67BkCBAgQIECAAAECBAgQGHoCVgAOoTnLAwcWLFjQa49zG2C+d+3lfH9dV/roRz+6VNmPf/zj5QMEjj766OLdY5WF8l1keT9TrubK8m2Zut4B15DUqHaXYbC5PTeDTvmTB11kMC8P3MgVdbn6dJdddok//elPS9WYgau+Dp9Z6qGuG0uewNtTmdK9PDV3IKmyjQwiltLYsWNLlzX5PRj9ffrpp4u+jRkzps8+5iEjEgECBAgQIECAAAECBAi0n4AVgENozjMwl8G9PMAg37G2Qdcpq/kOtb/97W/FyaDnnHNOlIIXeYpoTwHAXKH1qU99KvK00lx9lAcD5GEIG2+8cXFAQJ6GmkGdTMccc0xMnDhxCAkNYlfzVN5GpEa1uwxjzUBT5cEWeXBHvv/v7W9/e3FQxVNPPVUcbPHLX/4yKg/fqAxe54m0n/vc5/rVan9XxmVl+T6/UvrkJz8Z//qv/1r6WPV3b1uFl6Xtqg30klnqb6407O9qxayqMpBX2g7cn76WyvbSHbcJECBAgAABAgQIECBAoEUFBACH2MT+5S9/ibPOOqv46a3rGSC84IILen3/2cknnxy58uh//ud/imBfT4c15OmpeUhC26YRIxoz9Ea1OwijzYMqjjrqqDj77LPj7q4t1N/61reKU3hLVa+22moxomt887uCnM8++2y3IGKpzPL+fvWrX12uIlezVgYqyxl9XGQdGUzLYFn+vdUyZVsZtM8g/kD6mn3Lg0Ny63/pIJBq/R3oisNqdcojQIAAAQIECBAgQIAAgeYXsAW4+eeo3MNvf/vbkQcw7L333pEr+fIf/rlNd80114zXv/71xTbMO+64I6644oriXvnBJS7ysIA8jTW3buY7/vKgkAzM5O/8/JOf/KQIIGa5tk3jxzdm6I1qd5BGm6fQrrrqqkVt+V3NYF9l2mqrrYqPv/jFL8qn7FbmL+91btnNd91lKr0Lc1nrXHnllaN08nXpMJxlraM/q/GyzpJHvnNw9gC3f+fffqYHHnigeDdg8aGH/8j3HHr/Xw8wbhEgQIAAAQIECBAgQKANBNo4wjP0ZnfnnXeO448/vjhtNd+xliuHcktwvgPsN7/5TeQW4Nwa3N+U2zavvvrqmDNnTsybN6/4nZ/32Wef/lbRuuW23roxY9tmm8a0O0it5vbgfB9gpgw2ZdC6MuXJvJmee+654jCayrzBus6tyJnuv//+uOqqqwZUbamODKr96Ec/WuY6MoiYKf+uqqWSR642PO2006oV7TVvjz32KPIWLVoUF110Ua/lpk6d2mueDAIECBAgQIAAAQIECBBobQEBwNaeX6MbqMC22w70yeV7rlHtLl+vuz2d744sBcDyXZOl99xloY985CPFytW8zncA/uxnP8vLXlOuFLztttt6ze8pI08hzhWtmT70oQ8V25F7Kle6lwG+3/3ud6WPxe983+bIkSOL66yjdCpwt0KvfOhp5V7p8JDcmlstvec97ylW82aZ3Nq/ZMB0yWcz0J8rdyvTAQccEKUDQL7whS8Ugc/K/LzO8f3Xf/3Xkrd9JkCAAAECBAgQIECAAIE2ERAAbJOJNsxlFJg8Obr2ki7jQ8tZPNubNGk5K2n847kFN98hmSkDYJdcckm5U7ld/bvf/W5xOEieCpyrTfMdlJdffnlxKE0eTJOnXedW4i233DLycIwlg3Plynq5eM1rXlM+UCNXyeaq2AziXXPNNUUw8K677oorr7yyfPhNrvZbMog3bty4+PrXv160kFtnt+0KzH7iE5+In/70p3HPPfcUQclvfvObRf932223pXqyww47FPfyHYJ56M6MGTOKLbq5ovDRRx8tl88t/Dn23DadqwDz0JI0yZV82c98l+L1118f//mf/1mM4w1veENkULQyZbD1a1/7WnErD2CZ1PUdOvXUU2PatGlx5513Rr7zMw/7ybbysB+JAAECBAgQIECAAAECBNpPYFj7DdmICfRDYPjwXD4WcdJJ/Sg8SEWOOCIi222BlCdLn3/++cU7ADN49b73vS9K75TMd1hmUCvv5aEU3/ve94qf3oa9+uqr95bV6/3DDz+8OCH7wx/+cLHdOA/FyZ+eUvar9N7CyvzDDjusCMrladovvvhinHHGGcVPZZm87imolmPLE7Uffvjh+MpXvlL8lJ7L8hkILKVSUO/d7353cRJ32uRPb+lVr3rVUlkHHnhgPPTQQ8WqynwlQPpXphxfBhpP6vo+z5w5szLLNQECBAgQIECAAAECBAi0gYAVgG0wyYY4QIF8l129TuXNdjIA2CJpwoQJceihhxaj+eMf/xg/+MEPuo0s31uXqwNz5dpb3vKWyC2zuW03V7Pls3kvA4d//vOfi0Bht4f7+SGDcBmAy3ry/Zm5TXZ4V4A1t/ZutNFGkSv/Mqj3yCOPxE477dRjrR/4wAeKgNlnP/vZ4sCOXMG40korxT/90z8Vz+S22htvvHGpZzNomavvcivxZpttVt5OvFTBV27kYSC5zTjf05cH8YzvOgwmLbKtPJxn1113jc9//vPFisDcOt1T+sxnPhN5aMn+++9fjLXUz1yNmSsQ01QiQIAAAQIECBAgQIAAgfYU6OjadtbZnkM36kYK5JbLDPRkysMiMuDR35SHOyxYsKDY0jhx4sT+Pjawcl3bJ+O44wb27LI8le30EthZlmrapWwGxR577LHiwJE8/EaqvUBd/+5qPxwtECBAgAABAgQI/P/27gTeqnn///gnzUqj5iiUubpoMCTxU4RMmeJeUldm/i4XV1Eh0+XiGjKFyDwrorgiUVTILBFKKZFoFPu/3l93rbv2Pnvvs885+6w9nNf38TjtNX+/6/ltT5/9HRCoMgIV+f5dZZCqwI3SArAKVDK3WAEBdaWs7Jl5NfGHN3EFKXOBlStXuoMbNmyY+UkciQACCCCAAAIIIIAAAggggEAVFSAAWEUrntvOUMCbOMEeesisWbMMTyjjYV63VG+WDPOaM5bxxKp7uMbPW7VqlQPYeuutqy4Ed44AAggggAACCCCAAAIIIIBAhgIEADOE4rAqLKBuxlOmZD8IqOCfrlvZ3ZiLpOrmzp1rEydODMYE1OQdffv2LZK74zYQQAABBBBAAAEEEEAAAQQQqDwBmh1Vni1XLiaBLl3Mpk83GzjQvBkVKn5n6varln8E/zKy1JiPmi03nM4+++xgHMnwdpYRQAABBBBAAAEEEEAAAQQQQCBegBaA8R6sIZBaQMG6GTPMNGFHeWcH1nk635shluBfaupUe+rWretm473pppvsuuuuS3UY2xFAAAEEEEAAAQQQQAABBBBAICRAC8AQBosIlCqgsfo0W+8JJ5jdcccff0uWlHqatWplNnSo2UknmbVpU/rxHBEnUMNzZ8LyOBJWEEAAAQQQQAABBBBAAAEEEMhYgABgxlQciEBIQEG8UaPMhg83mznTbNasP7oGL1xotn79Hy0E27b9YwZhdfft0cOsZs3QBVhEAAEEEEAAAQQQQAABBBBAAAEEohEgABiNM7kUq4CCej17/vFXrPfIfSGAAAIIIIAAAggggAACCCCAQEELMAZgQVcfhUcAAQQQQAABBBBAAAEEEEAAAQQQQCC9AAHA9D7sRQABBBBAAAEEEEAAAQQQQAABBBBAoKAFCAAWdPVReAQQQAABBBBAAAEEEEAAAQQQQAABBNILEABM78NeBBBAAAEEEEAAAQQQQAABBBBAAAEEClqAAGBBVx+FRwABBBBAAAEEEEAAAQQQQAABBBBAIL0AAcD0PuxFAAEEEEAAAQQQQAABBBBAAAEEEECgoAUIABZ09VF4BBBAAAEEEEAAAQQQQAABBBBAAAEE0gvUSL+bvQgggAACCCCAAAIIVF2BX3/71WYsnGGzvp1lc5bMsYUrF9r639Zbreq1rG2DtrZzy52ta+uutmvbXa1m9ZpVF4o7RwABBBBAAIG8FiAAmNfVQ+EQQAABBBBAAAEEciGwaOUiu3327XbnnDttyS9LUhZh/Nzxbl/L+i1t6M5DbeguQ61NgzYpj2cHAggggAACCCCQCwG6AOdCnTwRQAABBBBAAAEE8lJgw+8bbPRro23Lf29pl712WdrgX/gGFCS89LVL3Xk6X9chIYAAAggggAAC+SJAC8B8qQnKUZACdAuKttoGDRpk48aNs3bt2tmCBQuizbyAcxs5cqSNGjXK3UEsFivgO6HoCCCAQOUKzFs+zwY+MdBmL55d7ozUPXj4K8PtqU+esocGPGQdm3Ys97U4EQEEEEAAAQQQyJYAAcBsSXKdKiVQVbsFrVq1yh544AF75pln7L333rPvv//eatSoYc2bN7cWLVpYly5drHfv3rbXXntZq1atqtT/CW4WAQQQQKCwBd5b8p71ub+PLVu9LCs3oiBiz3t62uQ/T7YuLbtk5ZpcBAEEEEAAAQQQKK8AXYDLK8d5VVKgKncLeuutt2zHHXe0k08+2Z5//nlbtGiRrVu3zhQU/PLLL23GjBl2++2328CBA22nnXaqkv8/1NKuWrVq7q9KAnDTCCCAQIEKqOVfNoN/PsPSVUvddXV9EgIIIIAAAgggkEsBWgDmUp+8C0qgKncL+vzzz61Pnz62cuVKV2cHH3ywHXHEEbb11ltbrVq1XEtAtQicMmWKvfLKKwVVrxQWAQQQQKBqC2g4D3X7zVbLv0RNXffYJ4+1N4e8aTU24qN3og/rCCCAAAIIIBCNAJ9ConEmlwIXqOrdgoYNGxYE/+6++2478cQTS9SoAoTnnXeeLVu2zB599NES+9mAAAIIIIBAPgpcM/2aCo35l8k9zfp2limfi/a8KJPDOQYBBBBAAAEEEMi6AF2As07KBYtNoKp3C/rtt99s4sSJrlq7du2aNPgXrvNmzZrZ6aefHt7EMgIIIIAAAnkpoDF9NXNvFGnUq6NM+ZEQQAABBBBAAIFcCBAAzIU6eRaMQFTdgjS2YL4mtehbvXq1K16HDh0qXMwNGzbY2LFj7YADDrDWrVtb7dq1bdNNN7VevXrZDTfcYGvXrq1wHiqvrrX33nu7yUnUTVkTlfTt29fuueceU1CztLR+/Xq744477MADD7Q2bdq4cuoau+yyi51xxhk2bdo082fUvffee924f/5Mu7q2PxZg+DHZzMW6xuOPP24DBgywzTbbzOrUqWONGze27t2722WXXWYrVqworai2cOFCF3Tdcsst3flyVTftl156qdRzOQABBBCoygK3z77dNGtvFEn53DH7jiiyIg8EEEAAAQQQQKCEAF2AS5CwAYH/CdAtyNwYf77Ixx9/7C+W63H+/PkuMPXRRx/Fnb98+XIXUFNQ7dZbb7XnnnvOOnbsGHdMpitvv/22HXbYYW6SkvA5CmRqjEL93Xbbbfbss8+64GD4GH/53XfftcMPP9xNbuJv06Ouob85c+bYLbfc4va3b98+fEiZlnUtlXX69Olx52lyFd2H/pSPZl3u0aNH3DH+yquvvupM/fEZtX3x4sU2YcIE9xcOSvrn8IgAAgggYKYf+e6cc2ekFHfMucOG9xpuNavXjDRfMkMAAQQQQAABBGgByP8BBFII0C3oD5gmTZpYu3bt3Iom+rj66qvt999/T6GWerOCUnvssYcp+LfJJpvYueeea5MmTXLBNE0c8o9//MM23nhjmzdvnu2///72008/pb5Yij3vv/++a/WnGYrVWm/EiBGuFdw777xjL774omslV6NGDdOMxocccoj9+uuvJa6k8u25555B8E8BukceecQF4zTT8bhx4+zPf/6z1atXLzj30EMPNeV96qmnBtu0nvinloR+0uzJe+21lwv+qYWiZldWoE/BRQVCR48ebU2bNrXvvvvO+vXrZ1999ZV/avCoFoX9+/d34zNutNFGdsopp7j7VeBQrSwVRJWBAqokBBBAAIF4gRkLZ9iSX5bEb6zkNeU3c9HMSs6FyyOAAAIIIIAAAiUFaAFY0oQtCDiBXHQLGrX3qLzUP/PMM90EHyrchRdeaGPGjHGBp9122821TNtqq61KLffQoUNdMEvdXKdOnWrqrhpOvXv3tiOPPNIF37744gu79tprXRfY8DHpltWVVoE5Bda6dOniAmHqWhxO6gJ80EEHuW69M2fOtPvuu8+GDBkSPsRd45dffjEF1B544AE75phj4varJd7xxx9varWogKVSo0aN3J+Cjn7acccd/cWkj3JUi8qGDRu6smp8xXDq2bOnHXfccSZjBU+HDx9u999/f/gQF0T9+eef3bbx48fbwIEDg/26nu85a9asYDsLCCCAAAJ/CGhijlwk5dtz8565yJo8EUAAAQQQQKAKC9ACsApXPreeWiBX3YKUbz6mc845xwYPHhwUTa3Rbr75Zheg0riALVu2dIEydTv1x8ULDvYWPvjgg2AiEZ2XGPzzj91pp52CCUQ023BZklq5zZ07152iwF5i8M+/lloXHnHEEW5V4wGGk1oJqrWgkoKeicG/8LFqnVe3bt3wpoyXv//+e7vrrrvc8ZdeeqklBv/8C6nl5cUXX+xW1QrRH4tRGxQUVItBJQU1w8E/t9H7Ry0tNY4hCQEEEECgpMCcJXNKboxgy+zFsyPIhSwQQAABBBBAAIF4AQKA8R6sIeAE6BYU/x9BreHUpVRddvv06eNax4WPUDdVBag08YQmr9BYf+HkB6rUYk6TaqRLmgxE6dtvv7Vvvvkm3aFx+/w8ttlmG+vcuXPcvsQVPw91lQ1PCBLuKqugZ2UlBRr9yU6OOuqotNn4ZVV35dmz//elUd2m/bKfeOKJKa+h+thhhx1S7mcHAgggUFUFFq5cmJNbz1W+OblZMkUAAQQQQACBvBGgC3DeVAUFyScBugUlrw21ntPfjz/+6MauU9dSBaU0Zp0/Zp+2aQw9bW/VqpW7kN8FVS3YNAZfpmnJkiVuZtxMjvfz+PTTT90MvJmco5l+f/jhB2vWrJk73G/9t/nmmwfjHmZynbIe45dV5/lGmVxDHn7S+IJ+6tatm7+Y9FFBwA8//DDpPjYigAACVVUgqtl/E31zlW9iOVhHAAEEEEAAgaolQAvAqlXf3G2GAnQLSg/VuHFj1+105MiRbqZZtQBUl11tV1L3VL/rqtaXLl2qhzKncJfX0k7ORh7qmqtUlqBcaeVKtj8bZVUQ1k/hsQf9beHHFi1ahFdZRgABBBDwBGpVr5UTh1zlm5ObJVMEEEAAAQQQyBuBzJvi5E2RKQgClS+Qq+45ucq3oqK1a9c2dUNt3bq1ayGo6z355JNu/Dl1H/a7qm6xxRb27LPPZpydjs80+XlopuHbbrst09NcmRMPrlatWuKmrK77ZdXsv+FuvaVl0rZt2+CQ8FiLpZU3fGxwARYQQACBKi7QtsH/XlOjpMhVvlHeI3khgAACCCCAQP4JEADMvzqhRHkgkKvuObnKN1vk++23n+uyq7H71EJNM+Wqe60mzFBSS8Ftt922TN2AMy2b8tD1ly1bZqXNwJvqmv7EIRp/sDKT76EuyFouT4vDJk2aBEXUfWt25VSpvC0OU12P7QgggEAxCOzccmcbP3d85LeyS6tdIs+TDBFAAAEEEEAAAboA838AgSQCueqek6t8kxCUe5NaAfpJrf+UNLuvkrr0Tp8+3S1n+x8/j88++8w0S3F50s477+xO+/rrr8t1jdJa4vll8suq9cmTJ/uby/TYqVOn4HhNZpIulbY/3bnsQwABBIpVoGvrrjm5tVzlm5ObJVMEEEAAAQQQyBsBAoB5UxUUJJ8EctU9J1f5ZsteAb6PPvrIXa5Bgwbmt1I75JBDgiyuueaaYDmbC5qB2E/lzaN///7+Jez6668PljNdqFOnTnDounXrguXEhX79+lnNmjXdZuWzYcOGxENKXd97772tevXq7rhx48alPF4TjnzwwQcp97MDAQQQqKoCu7bd1VrWbxnp7Su/Hm16RJonmSGAAAIIIIAAAhIgAMj/AwSSCKhbUC5SPnYL+uWXX6xHjx42ceJE+/3331OyaN+ZZ55pP//8sztGATm/RZxmqe3bt6/b/vzzz9uIESNSXkc7FixYYA899FDaYxJ3DhgwwLbbbju3ecyYMTZ27NjEQ+LWFRSbMGFC3LZ9993Xdtnlj65ZN910kz388MNx+8Mrmj14zZo14U1xXXnnz58fty+80qZNGzdmora99957dvLJJ6cNAqoL71133RW+hMvLD6xqXMVHH300br9WVHdDhw4tsZ0NCCCAAAJmNavXtJN2PilSiqE7D3X5RpopmSGAAAIIIIAAAp5ANW9w+BgSCEQtsHDhwmDMMo0XF57coLSyzJs3zwVLatSoYR07dizt8HLtn/bVNOt1b69ynVuRk6adOM16bt6zIpfI+rkKIm2yySbuugpcHXroobbbbrtZu3bt3PYVK1bYO++842YBfv/9991xDRs2tHfffdfat28flEfj6nXt2tXNEKyNCioOHjzY1JVVLec0XuDcuXPthRdesP/85z8un8cffzw4XwuDBg0ytXZT3goSJiblv/vuu7vAl/ZpTMJjjz3WttlmG9fiToE0lVXBzDfeeMPOPfdcu/baa+Mu8/HHH1v37t2Daxx++OF2zDHH2JZbbukmM/n8889typQpprIpv/A9ap//f1IBz2HDhrlAnR8I1bH6f6skVzn6rfO23357F6xTALJ+/fom1w8//NBeeuklU9BUTmrNF04y6Ny5swu6qjWgAolHHHGEqfWlLK+66ipTl2i5++eW9yU/iudd+N5YRgABBKIQWLRykW357y0tijF4NczHF2d9YW0atIni1sgDAQQQQACBQKAi37+Di7BQ8AIEAAu+CgvzBiryAhRFIOLX3361zW/Y3Jb8siQyYHUL+vr/fZ13LQPWrl1rmo13yZLMLBQAU+s9vyVdGFBj8x155JGWyZh0mlX47rvvDp9eagBQByvwpSCY/p+UlkaNGmWXXHJJicM0M+9hhx1mCk6nS19++WVcAFDHHn300Ulb42lf4vFqRXjccce5oKf2p0vq8qvAaGKaOnWqqbWl3/Iycb/f2lL3qkQAMFGIdQQQqOoCo18bbcNfGV7pDKP3GW0X7XlRpedDBggggAACCCQKVOT7d+K1WC9cAWYBLty6o+SVKOB3C7rstcsqMZf4S+drtyC1zlu0aJHNmDHDtUbT46effupm3FVwsF69eqaJP7p06WLqkqquuLVq1Yq/uf+uqeXezJkz7ZlnnrFHHnnELWsG219//dUaNWrkWs+pVZwCWnvuuWfSa5S2US3iNA7hgw8+aE899ZQpmKeZgdVFWTPuqjVgz549XYDPn/Qj8ZoKXuoe1e326aefdq30NKuxzlcrSJ2vVoHh1n/+NcaPH+9a3KmFoK6hwFyqrtMaI3HSpEkusKfzXn/9dddCUq5qxbfVVlu51ogHHnhg0IXaz8d/7N27t2speOWVV7qWgosXL7bGjRu7MqhLtlpBjhw50j+cRwQQQACBBIELel5gT33ivV8snp2wJ3urmvjj/D3Oz94FuRICCCCAAAIIIFBGAVoAlhGMw7MjUJFfIKJoAai7pFtQduqaqxSHQFTPu+LQ4i4QQKDQBOYtn2d73L2HLVu9LOtFb16vub1+4uvWsWnlDFuS9QJzQQQQQACBohOoyPfvosOowjfEJCBVuPK59fQCGqPnkl4lu4emP6t8e0fsNYIxgcpHx1kIIIAAAghUWEDBuSl/mWLNNm5W4WuFL6Dgn65L8C+swjICCCCAAAII5EKAAGAu1MmzYATULaiyZ+alW1DB/HegoAgggAACRSzQpWUXmz54etbe9/X+rpZ/nVt0LmI1bg0BBBBAAAEECkWAAGCh1BTlzIlAjY1q2EMDHsp6iwD/ZtQy4MHDHzTlQ0IAAQQQQACB3Aqopd6Mv84wTdihWXvLk3Sezn9zyJu0/CsPIOcggAACCCCAQKUIEACsFFYuWkwCdAsqptrkXhBAAAEEEEgvoB/lNFvvF2d94YYCaVm/ZfoT/ru3Vf1WpiE9dJ7O58e9jNg4CAEEEEAAAQQiEqDZUUTQZFPYAn63oIFPDMzKLIHqFqSWf4wJVNj/Lyg9AggggEDxCmgs4FF7j7LhvYbbzEUzbda3s9xngIUrF9r639a7FoJtG7R1XYb1vt6jTQ+rWb1m8YJwZwgggAACCCBQ0AIEAAu6+ih8lAJ+t6Brpl9jo14d5T78lzV/dQtS64Dz9ziflgFlxeN4BBBAAAEEciCgoF7PzXu6vxxkT5YIIIAAAggggEBWBOgCnBVGLlJVBOgWVFVqmvtEAAEEEEAAAQQQQAABBBBAoHgEaAFYPHXJnUQoQLegCLHJCgEEEEAAAQQQQAABBBBAAAEEKiRAALBCfJxc1QXoFlTV/wdw/wgggAACCCCAAAIIIIAAAgjkvwBdgPO/jighAggggAACCCCAAAIIIIAAAggggAAC5RYgAFhuOk5EAAEEEEAAAQQQQAABBBBAAAEEEEAg/wUIAOZ/HVFCBBBAAAEEEEAAAQQQQAABBBBAAAEEyi1AALDcdJyYK4GNNvrjv+1vv/1msVgsV8UgXwSqjICeZ3q+KfnPvypz89woAggggAACCCCAAAIIIFAEAgQAi6ASq9ot1KpVy92yghLr1q2rarfP/SIQuYCeZ36w3X/+RV4IMkQAAQQQQAABBBBAAAEEECi3AAHActNxYq4E6tWrF2S9cuXKYJkFBBCoHIHw8yz8/Kuc3LgqAggggAACCCCAAAIIIIBAtgUIAGZblOtVukD9+vWDPJYvX27687snBjtYQACBCgvoeeU/x/yLhZ9//jYeEUAAAQQQQAABBBBAAAEE8lugRn4Xj9IhUFJAXRCbNWtmy5YtczuXLl1q+qtevbpVq1at5AlsQQCBMguEx/3zT9bzji7AvgaPCCCAAAIIIIAAAggggEDhCBAALJy6oqQhgaZNm9r69evtp59+CrbSCjCgYAGBrAs0bNjQ9LwjIYAAAggggAACCCCAAAIIFJ4AAcDCqzNK7AmopV/r1q2tSZMmtmLFClu9ejXdgPmfgUCWBdSqduONN7ZGjRpZnTp1snx1LocAAggggAACCCCAAAIIIBCVAAHAqKTJp1IEFJRo2bJlpVybiyKAAAIIIIAAAggggAACCCCAAALFIMAkIMVQi9wDAggggAACCCCAAAIIIIAAAggggAACKQQIAKaAYTMCCCCAAAIIIIAAAggggAACCCCAAALFIEAAsBhqkXtAAAEEEEAAAQQQQAABBBBAAAEEEEAghQABwBQwbEYAAQQQQAABBBBAAAEEEEAAAQQQQKAYBAgAFkMtcg8IIIAAAggggAACCCCAAAIIIIAAAgikECAAmAKGzQgggAACCCCAAAIIIIAAAggggAACCBSDAAHAYqhF7gEBBBBAAAEEEEAAAQQQQAABBBBAAIEUAgQAU8CwGQEEEEAAAQQQQAABBBBAAAEEEEAAgWIQqFEMN8E9FJ7Ahg0bgkIvXrw4WGYBAQQQQAABBBBAAAEEEEAAAQSyJxD+zh3+Lp69HLhSIQgQACyEWirCMi5btiy4q+7duwfLLCCAAAIIIIAAAggggAACCCCAQOUI6Lt4+/btK+fiXDWvBegCnNfVQ+EQQAABBBBAAAEEEEAAAQQQQAABBBComEC1mJcqdgnORqDsAmvXrrX333/fndisWTOrUaNkY1Q1U/ZbB7711lvWqlWrsmfEGXkrQP3mbdVkpWDUb1YY8/Ii1G1eVkvWCkX9Zo0yLy9E/eZltWSlUNRtVhjz9iLUb95WTVYKFkX9qtuv3wuvU6dOVqdOnayUnYsUlkDJqEthlZ/SFqiAXnC6deuWcekV/Gvbtm3Gx3NgYQlQv4VVX2UtLfVbVrHCOZ66LZy6Kk9Jqd/yqBXOOdRv4dRVWUtK3ZZVrLCOp34Lq77KWtrKrF+6/Za1NorveLoAF1+dckcIIIAAAggggAACCCCAAAIIIIAAAggEAgQAAwoWEEAAAQQQQAABBBBAAAEEEEAAAQQQKD4BAoDFV6fcEQIIIIAAAggggAACCCCAAAIIIIAAAoEAAcCAggUEEEAAAQQQQAABBBBAAAEEEEAAAQSKT4AAYPHVKXeEAAIIIIAAAggggAACCCCAAAIIIIBAIEAAMKBgAQEEEEAAAQQQQAABBBBAAAEEEEAAgeITIABYfHXKHSGAAAIIIIAAAggggAACCCCAAAIIIBAIVIt5KVhjAQEEEEAAAQQQQAABBBBAAAEEEEAAAQSKSoAWgEVVndwMAggggAACCCCAAAIIIIAAAggggAAC8QIEAOM9WEMAAQQQQAABBBBAAAEEEEAAAQQQQKCoBAgAFlV1cjMIIIAAAggggAACCCCAAAIIIIAAAgjECxAAjPdgDQEEEEAAAQQQQAABBBBAAAEEEEAAgaISIABYVNXJzSCAAAIIIIAAAggggAACCCCAAAIIIBAvQAAw3oM1BBBAAAEEEEAAAQQQQAABBBBAAAEEikqAAGBRVSc3gwACCCCAAAIIIIAAAggggAACCCCAQLwAAcB4D9YQQAABBBBAAAEEEEAAAQQQQAABBBAoKgECgEVVndwMAggggAACCCCAAAIIIIAAAggggAAC8QIEAOM9WEMAAQQQQAABBBBAAAEEEEAAAQQQQKCoBAgAFlV15vfNzJkzx6644grr16+fbbbZZla7dm2rX7++bb311jZo0CCbNm1amW7ghRdesMMPP9zatm3rrqVHrWs7KTqBlStX2sMPP2znnnuu7bXXXtahQwdr2LCh1apVy5o3b269e/e2a665xpYvX55Rod588037y1/+Yu3bt7c6depYq1atbP/993d5ZHQBDopM4Pzzz7dq1aoFf1OnTi01b563pRJFfkC4DtMt67lcWqJ+SxPK3f7vv//evRbvscce1rJlS/e+2bp1a+vRo4f9/e9/N732lpZ4fS5NKLr9ej6me74m25fuNZrnbnR1V5ac1q9fb2PHjnWfg/R5yP/svM0229jgwYNtxowZGV2O+s2IKfKD1q5da7feeqv93//9nzVr1sx9dm7Tpo0deOCB9sgjj2RcHl6bM6aq8IFLly61iRMn2iWXXOK+02666abBa7G+z5Y1ZeO5uWHDBrv99tutV69e7v9R3bp13fexU045xT766KOyFonji10gRkIgAgHvBSnmPZdK/fMCP7F169alLdHvv/8eGzp0aNprab+OI1W+wJQpU9LWhV/v3htkzHuTS1ugUaNGxTbaaKOU1+vfv39szZo1aa/BzmgE3n333ViNGjXi6uqVV15JmTnP25Q0Od/hP0dLe/QC/CnLSv2mpMmLHY8++misadOmcc/XxPo+5JBD0paV1+e0PJHv1PMxsQ7Treu9deHChSXKyXO3BEnebPj6669jnTp1KrWezznnnJSfeanfvKnOEgX55JNPYl4gN239ej+Ax3755ZcS54Y38Noc1qj85XSvsyeccELGBcjWc9P7cS/m/ZCX8v+R96NBzPsRIeNycWDxC1jx3yJ3mA8CW221lXth8lobxM4+++zY448/Hnvrrbdi3i9WsX/9618x79eu4IVr4MCBaYt80UUXBcfutNNOsYceeshdS49a91+Yhw0blvY67MyOgAKAXovO2PHHHx+78cYbY08++aSr1+nTp8e8Xy9jRx55ZKx69equXrxWgbH33nsvacZ33nlnUHf6/6I3K/0fefrpp2N77713sO+4445Lej4boxP47bffYt26dXN14rXyDOomXQCQ52109VPWnPzXzFNPPTX2/vvvp/z74osvUl6a+k1Jk/Md48aNC35Y0fN1xIgRMb1uz549O/bcc8/F/v3vf8f69OkTO+KII1KWldfnlDQ526HnY7rnq/bpPdh/fquOkyWeu8lUcr/t119/jQv+de7cOXbvvfe6z1eTJ0+Oea2PYvXq1Qvq1+tpkbTQ1G9Slpxv9FqRuc/O/vNTn5W9VmUxr7eUe9S6v08/fqdKvDankqm87X696FHff/r27RvUVVkCgNl4bnot/2LhRjZeT7jYpEmTYjNnznTv7f5ndH0PK60RRuWJceV8EyAAmG81UqTl8Zqyuw+ieqFKlpYtWxbzugIHL6CvvfZassNi8+bNC1odde3aNbZ69eq441atWhXTdr0oq3XS559/HreflewLpKrTcE5PPfVUULd6c0pMP/74Y6xRo0bumM033zym/w/hpDz0Ach/03311VfDu1mOWOD66693dbHtttvG/vGPfwT1kioAyPM24goqY3b+80qBofIk6rc8atGc43X9ienXf9XxnnvuGVuxYkXKjFO1vuf1OSVZ3u/whmkIXp/vv//+EuXluVuCJG826Idy/7V5t912iyX7rDVr1qxYzZo13XGNGzeOKWgYTtRvWCO/lk8//fSgflO99yrI6/8feOKJJ0rcAK/NJUgi2aB6mTBhQmzJkiUuvy+//DKop0wDgNl6bt5zzz1B3qeddlqJ+1c+DRo0cMd07NixxGtEiRPYUCUECABWiWoujJvUi6n/RnfWWWclLbRe3Pxj1HowWdJ2/5gzzjgj2SFsy4GAgkWqF3UFTkz65dqvM7XkTJa++eaboCXhQQcdlOwQtkUgoC5J3tidrr4U8NMHV7/uUgUAed5GUDEVyMKvv1RfQkq7NPVbmlDu9nvjSgWvu4k/rGRaKl6fM5XKr+PUUtvvXaHXbP1Amph47iaK5M+6uvX6r83PPvtsyoIddthhwXFq9RlO1G9YI3+WFcz1f/Ru165d0uCuSqvj9KO4/h+ocUNi4rU5USQ36+UJAGbrubn99tu7/x/6ASDZa7xErrzyyuA1Qj8skBBgEhDvVZWUHwLhAebnz59folDe09WeeeYZt90LJtmuu+5a4hht0HYNjqzkdR9VkNst809uBbyuKq4AGvA4MamelLxfqdxELon7ta5JXvbdd1+3y+u+Zt6YKMkOY1slC3gfWpy99yunhZ+zqbLleZtKpji2U7/5W4/e+FL28ssvuwJ6P4aZBiovT+L1uTxquT9Hdb9o0SJXEK97t2288cZxheK5G8eRdyua/MNPW265pb9Y4tEbMiXY5rXiDZap34Ai7xa8VlnmtcZ25fK65pvXPTNpGbVd+5W81p62YMECt+z/w2uzL1FYj9l6bur/kT/Bx9FHH13iNd5XCU9M4g3T5G/msQoLEACswpWfb7ce/rDjDVZdonjeLyzBh1nNNpsu+fu9Aa9LvGGmO499lSPw8ccfmzdphLu4grfhpHr3xvpzm7xuLm4GtPD+8LJfr/qQ+/bbb4d3sRyBgDeRgJv5rEmTJvbPf/4zoxx53mbEVLAHUb/5W3WPPfZYUDhvPKlg2es2ZvrikMnM7Lw+B2wFt3DfffcFZfbG6A2W/QWeu75Efj56w+IEBfPGewyWExf8H8w167PXxS/YTf0GFHm38MMPPwRlatGiRbCcbCG83xseKTiE1+aAouAWsvXcnDZtWnDv/vejYENooWXLlua/nrz++uuhPSxWVYGSUZaqKsF951zAG9ctKENikEg7FETyU7L9/j49hveHzwsfw3LlCnjjM7ovmd4kL+ZN4mFedySXoTcJTFzG+iLqdXNw28L1FnfQf1fC+6nXZEKVt02/Vvt1d/XVV1uzZs0yyixcT+H6S3ZyeH/4vGTHsi37AgoYqfV03bp1bZNNNnFfJtXS0+vanTKzcD2F6y/ZCeH94fOSHcu2igvMmDHDXaRhw4a23Xbb2QMPPGBdunQxBfD1ZUAtAtWyyJtBMmWLal6fK14PubiCWsh7Y++6rL0uhElba4efg+HnZrLyhveHz0t2LNuyI+BNiOd6Rehqes/1P0OFr/7OO++YN5GP23TMMccEx2tDuJ7C9Rc+318O7w+f5+/nMbsCfo8YXfWnn35Ke/Hwfr+1l07gtTktW17vDD/Hws+9ZIUO7w+fp2PD6+Hj0l3HG07JvK7CyQ5hWxUSIABYhSo7n2/VmwrdrrrqqqCIRx11VLDsL+hFy0/qDpouebMyBbvD5wUbWagUAW+GOtOv0PrTBxx9yTz33HPtu+++c/mdd9555s3iG5d3uH6o1ziavFrxBpM3b8Bj23333W3IkCEZl436zZgq5wfqy8Vnn31m6qavAII3iZKpFdE+++xj3jhTSb+oUL85r7aUBfC/LLZv397OPPNM+/Of/2xz586NO14tEUaOHGlqff3tt9/G7dMK9VuCpCA2eBMGBF/y/vKXv7j35MSCU7eJIvm1rh/Z9JlKP8hMnz7dunXr5l6PFdh/6aWXXOBerX7UEuxPf/qT6cfWcKJ+wxr5tdyhQwfzJm9xhQq36ktWyvB+bwzm4BDqN6AouIVs1V15rqPux+odR6raAgQAq3b9583de7OKBt1A9UXTG+y2RNl+/vnnYJs3oHWwnGwh/OsaY8UlE4p2mz6c6kOruo0qOBhO1GtYIz+X1WXgrrvuMm9mbbvttttK1GG6UlO/6XTyY5/GBlPrkTvvvNPUpUStSiZPnmzDhg2zpk2bukJqrKFDDjnEvFkm4wpN/cZx5NWK381MYwHecsst5g06756/S5cudUFeDaPQr18/V+YPPvjA1E1YP8aFE/Ub1iic5dK6/+pOqNv8r099HtbYb/rRTcOoqEW2gvUaF06Be712K/Cn92h18wsn6jeskV/L+o7iTdDkCqUfZbzJ75IWUNu9iV2CfeE6DS/znSggKoiFbNVdtq5TEGgUMqsCBACzysnFyiOgrr8XXnihO7V58+Y2ZsyYpJcJTx5Rq1atpMf4G2vXru0v2po1a4JlFipX4NBDD3UfVvSBReP66cOLPsDqg6ta/k2cOLFEAajXEiR5tUGtC4YOHeom0/FmJbROnTqVqXzUb5m4cnKwJgrQc/Wvf/2r9ezZ07Um0RfMyy+/3D788EPbaaedXLn0Wp34+kz95qTKMsrU7+ajMVM1mPykSZPs5JNPdt339R6pH9r0muwHAd944w1LHCCc+s2IOq8OUuuOqVOnujJpUjR/7KfEQlK3iSL5t64fXB588EGbMGFC0gnt1LtCr91+fYfvgPoNa+TfsoZe0I+qSgrs6v1WLfxU53rUuraHv++Ev89Qv/lXp5mWKFt1l63rZFpujiseAQKAxVOXBXkn+nKpAJHGgNMXEk0yEB7wNnxTderUCVYVlEiXwjOhqfsEKRoBtTDZcccd3Z+6q6hVkb5QqjWCBrFWCyJ1aQkn6jWskX/LV1xxhRtnRONIjRgxoswFpH7LTBb5CXrepkp6PX788ceDLyE33XRT3KHUbxxHXq2E60at+xQMSkyacCs8oY+CCeEUvgbvu2GZ/F0eP3580JJTAYRUibpNJZMf2xXA33fffW306NFuwh4Nw6Exv/T5VuPCqZW2frBRS97+/fvbjTfeGFdw6jeOI+9WunfvbmPHjnXvrQr6XXzxxdauXTu3rketq0X2ddddF5RdY/P6ifr1JQrvMVt1l63rFJ4gJa6oAAHAigpyfrkFNPZQ3759TTMSqnWCvnikm8Uo/MZXWrdev+WDClda0/hy3wAnZiygMYj87mVnnHGGq3P/ZOrVl8i/R3UdvPLKK13BFPgJd63PtLTUb6ZS+XucJopQi0AljQsYHiuO+s3fegvXjd/KL1lpd9hhB2vTpo3blTi7evgavO8m08u/bffff78rlH5UPfroo1MWkLpNSZMXO/SDmz/+mwJFmghEA/2rRViDBg3ca7ImaNIkaxrX629/+1vcGJ/Ub15UY9pCaHZu9ZbR5+NwfemHGXUR1tiPvXv3Dq7RuHHjYDl8PK/NAUtBLGSr7rJ1nYJAo5BZFfij7XFWL8nFEChdQF8g9cumHjUm3N133+1aAqY7MzxBRGkDmIYHRg1PCJLu+uyrXAG1/lMLTwVn1RXt2GOPdRlSr5XrXpGra2xOtfpRAEizOj/88MMlLqexw/z0n//8x00UonW1SFDAkPr1dQr7cfvttw9mm1SX4datW7sbon7zt1713qeJe5TC9ZSsxDpW9arxAcMpfB7vu2GZ/FzWeHH+5C8HHXSQhQMGiSWmbhNF8mddAb177rnHFUhduFO15FQX0ssuu8y1BFRrMZ2j920l6tcx5P0/mpldn401y/PixYvd+Kx6f9X4jkrqAu4nvQ/7ifr1JQrvMVt1l3idTTfdNCWG/71Y37nD56U8gR1FLUAAsKirNz9v7vvvv3e/XKpLqJJaFulXsNJS+I1PLZPSpfD+7bbbLt2h7ItIQDPa+emrr77yF934RGoBqg8/4XoLDggthPdTryGYSlr0u9LruTpw4MBSc9EXET+pha8CgDxvfZHCftQX0mSJ+k2mkh/b1LLPb9Gn19d0yd/vj0nlH6vgA6/Pvkb+P4Yn/0gVNPLvgueuL5F/jxrbz5/Exx+DNVUpd9lll2BX+DMS9RuwFMSCXmeTBWY0wYufevTo4S/y2TmQKLyFbD03E6+jCRdTJf+1QT/2lac3T6rrsr0wBegCXJj1VrCl1rgl++23X/AL9VVXXWWnn356RvezxRZbBK1ONBh9uuR3m1C3pvbt26c7lH0RCah1iZ/C3bLVnUVjoSi9+eabrsWZf1zio1/v/gD2iftZzz8Bnrf5VyflKZHfqkjn+q3/tEz9SiE/U69evYKCzZ8/P1hOtuD/IOd3BfaP4fXZl8j/R40j5rfS1g9u6bp962547uZvnYYD8RojO11SvfspfB7166sU7qN6YGgMXiW9Nu++++7BzfDaHFAU3EK2npsaA9RP/vcjfz38qJ4An332mdu0xx57hHexXEUFCABW0YrPxW2rC+GBBx5oc+bMcdkPGzbMLrjggoyLombL6kaqpF8yZsyYkfRcbfd/6dDxOo+Ue4HHHnssKETiTLKaPVhp5cqVJWah9E9S97OXXnrJrWpslPDYF/4xPGZXQBO2qOVXur/wxCAaj8g/1g+887zNbp3k4moKDk2ZMsVlre7g4SAR9ZuLGsksz4MPPthq1qzpDk6c3Td8BX1xWL58udu05557hne5ZV6fS5Dk5QYNrbFs2TJXNg2xEQ4GJSswz91kKvmxrUmTJm6cP5VGP4ymCwKGv/grsOAn6teXKNxHTeziP6dPOeUU1xo7fDe8Noc1Cmc5W89NtdD3e0OpG7m+ZydL4ckXNfEmCQF9WSMhUOkCXlfCmDfhh/qQub+zzz67XHl++umnMe9DrbtG165dY96LXdx1tK7tykfHeb94xO1nJfsC3pgzsTVr1qS98L/+9a+g7r3AUMz7xTrueO/LZ6xhw4buGG/2s5jXTTxuv/fhN+aNKRdcwxtrLm4/K7kT8AKAQb14AcCkBeF5m5QlLzY+++yzJZ6P4YJ5vxzHvC5oQR17MxKGd7tl6rcESd5sOPXUU4O68ybaKlEu70eXmNdtKDjGG5C+xDG8PpcgycsNAwYMCOpx9uzZGZWR525GTDk5yBt2I6jPkSNHJi2D10045nUDDI578cUX446jfuM48m7FGw4nZZn03uz9gOPqtmPHjkk/Z/PanJIv0h3ekDfBc9AbeiGjvLP13PQmCAry9nrUlcjbm7gt5k0a5I7Zaqut0n7eK3EyG4pWoLr3pjKSOCgClS1w1FFH2cSJE102++yzj1100UXuVy0NOJ7sb8WKFda0adMSxdI2L9hkGhNDE4g8//zz1qhRIzdo7rRp02zw4MFBC0O1LlS+pMoV0C+QmilWXcw0o7NmI9OjZgt97rnn7JxzzrG77rrLFUJdFtRFqUOHDnGFqlu3rhusXP9H1E38iSeecC38NC6VBjVXN3Hvg607R2PRnXfeeXHns5I7galTp5rfAmHQoEHmt/wLl4jnbVgjv5Y1JIMX1DONy6nXXT1/1RpMk7tocia9pvrdQ9Xd5Oabby7Rsoj6za86DZdGwys88sgj7nX1mWeece+7er3V+GKTJ082PWf9iXy8YKENHTo0fLpb5vW5BEnebdB77sknn+zG0t1xxx3dxBCZFJLnbiZKuTlGY3hqUg918dX7rHrP6DOUxuZdsGCB6xqq568+aympZ8SoUaPiCkv9xnHk3YrGY1Pdqk71p+9DavF56aWX2vDhw00Tu2ginwkTJpiOTUy8NieKRLOu76Ca9O7dd991f/qe4veS0BBHmsXZ36fHZGPzZeu52blzZ3v55ZdNk3xozF+9n3sNKtx7/FNPPeUmENL7vco0fvx422abbaJBIpf8Fija0CY3llcC3rMg+IUik2W1AkuVvKBQzPtSmvZ6Q4YMiek4UuULqK4yqVNvcOOY94UzbYEuueSSmNc0PuX1DjjggKS/gqa9KDsrVSCTFoAqAM/bSq2Gcl880+evWhd5QYaU+VC/KWlyvsMbvzHm/eiS8nVVr996T/XGm0pbVl6f0/LkdOeYMWOC+r3mmmvKVBaeu2XiivRgL6gQ82b2DOo21Wct74f1mFoDJkvUbzKV/NjmTcaQtm7VutML/JZaWF6bSyXK6gFq5ZfquZhse6rMs/Xc9LqJx7p165ayTN4PB7E77rgjVTHYXgUF6AJcBSs9F7ec7AUx3bZ0AUC//F7rspg3xl/MG5A+phc3PWrdaxXoH8JjBAJqXn7bbbfFjj766Jj3S1SsRYsWrvu19ytYTM3NFThQN+FVq1ZlVJrp06fHvPGLYt6vna5emzdvHuvTp0/swQcfzOh8DopWINMAoF8qnre+RH48eq0PYl6rkdj+++8f88aTiXljT7nnr9eyOuaN1RnzWhXF3njjjYwLS/1mTBXpgV7Lztg///nPmDeLpKtjvWfqRxm9bpdlSAVenyOttowz8yYHcF/+vJlEY96EWxmfFz6Q525YI3+WNSTK1VdfHevdu3fMm9zFdQv1Wn7FvPH+Yl4vl9jTTz8d81qKlVpg6rdUosgP0LAMJ554Ysxr7Rm8Lntj7Ma8CXxi6tpZ2o8y4QLz2vCY60MAABGoSURBVBzWqNzlbAUA/VJm47mpoZVuvfXWmNdTI+a1LozVqVMn5o3ZHDvppJNiXqtAPyseEXAC1fSvF4ghIYAAAggggAACCCCAAAIIIIAAAggggEARCjALcBFWKreEAAIIIIAAAggggAACCCCAAAIIIICAL0AA0JfgEQEEEEAAAQQQQAABBBBAAAEEEEAAgSIUIABYhJXKLSGAAAIIIIAAAggggAACCCCAAAIIIOALEAD0JXhEAAEEEEAAAQQQQAABBBBAAAEEEECgCAUIABZhpXJLCCCAAAIIIIAAAggggAACCCCAAAII+AIEAH0JHhFAAAEEEEAAAQQQQAABBBBAAAEEEChCAQKARVip3BICCCCAAAIIIIAAAggggAACCCCAAAK+AAFAX4JHBBBAAAEEEEAAAQQQQAABBBBAAAEEilCAAGARViq3hAACCCCAAAIIIIAAAggggAACCCCAgC9AANCX4BEBBBBAAAEEEEAAAQQQQAABBBBAAIEiFCAAWISVyi0hgAACCCCAAAIIIIAAAggggAACCCDgCxAA9CV4RAABBBBAAAEEEEAAAQQQQAABBBBAoAgFCAAWYaVySwgggAACCCCAAAIIIIAAAggggAACCPgCBAB9CR4RQAABBBBAAAEEEEAAAQQQQAABBBAoQgECgEVYqdwSAggggAACCCCAAAIIIIAAAggggAACvgABQF+CRwQQQAABBBBAAAEEEEAAAQQQQAABBIpQgABgEVYqt4QAAggggAAC+S1QrVo109/IkSPzu6BVtHTt27d39TNo0KASAlOnTnX7VH9aJiGAAAIIIIAAAoUgQACwEGqJMiKAAAIIIIBApQmEAzp+YM5/rFu3rm222WZ20EEH2V133WVr166ttHJwYQQQQAABBBBAAAEEKkuAAGBlyXJdBBBAAAEEECh4AQX8Fi5caM8995yddNJJ9qc//ck+++yzgr8vbgABBBBAAAEEEECgagnUqFq3y90igAACCCCAAAKpBU499VQ77bTTggNWr15t7777rt1www328ccf26effmr777+/ffjhh6bWgeVNsVisvKdyHgIIIIAAAggggAACZRagBWCZyTgBAQQQQAABBIpVoHnz5rbjjjsGf927d7ehQ4fa7NmzTctKX375pY0dO7ZYCbgvBBBAAAEEEEAAgSIUIABYhJXKLSGAAAIIIIBAdgXU2m/06NHBRSdNmhQss4AAAggggAACCCCAQL4LEADM9xqifAgggAACCCCQFwK77rprUI6vvvoqWNaCZovVxCHtvdljlRYvXmwXXHCB7bDDDrbJJpu4feEZY/1JRkqbBfiDDz6wM8880zp16mSNGze2jTfe2Dp06OC6IY8ZM8aWLVvm8kv2z48//miXX3657bbbbrbpppta7dq1rXXr1nbIIYfYk08+meyUjLctWLAgmAn33nvvdec99thjtu+++5paUSpguu2229qFF15oKkcm6a233nLjLG699dZWv359q1evnrvG6aefbvPmzUt5CeXve6pc69atc122VV+6b+0rzTnlxTPY8fvvv9udd95pu+++uzVp0sSVu0uXLnbFFVfYmjVrMrgChyCAAAIIIIAAApUvwBiAlW9MDggggAACCCBQBAI1avzvY9Nvv/2W8o5mzJhh/fv3t++//z7lMaXt0PX//ve/24033mgKMIXT/PnzTX8vvviizZw50/wAXPiY559/3o477jhbsWJFeLMLTD777LOmvwMPPNAefvhhF2yLO6gcK0OGDLG777477kyNl3j11VfbfffdZy+99JJtv/32cfv9lQ0bNthZZ51lCmgmJl1Dfwqw3XLLLS5AmHhMeF3mhx12mBu3Mby9spbXr1/vHF944YW4LObOnWv6Gz9+vL388svWqlWruP2sIIAAAggggAACUQv875Ns1DmTHwIIIIAAAgggUEACCuj4SS3pkqVffvnFBgwYYJo9eNiwYdanTx/Xau/9998vUxBI4w76ATUFj8444wzXwqxhw4au1Z9ayz3++OPJimBTpkyxgw8+2BREVItETWzSo0cPa9CggS1atMgeeeQRF5jSzMYnnHCCPfHEE0mvk+nGW2+91d5++203RuI555xjHTt2tKVLl9q4ceNcXmoNud9++7mJU1SGxKTgoYKESv369XOBS7UCVMs9fwIWTboik5YtW7rgauI1/HVdS9bHH3+8HX300e74r7/+2rV+9I/J5uPw4cPdvfft29c5b7bZZvbNN9+YTFQPmjhGgVbVVziAnM0ycC0EEEAAAQQQQCAjAW8WOhICCCCAAAIIIFBlBV555RVNyev+RowYkdLB6zobHHfppZfGHecF0oJ9XvfVmBe4itufuJIuv6effjq4ltd9N+Z1oU08PVj3gk3Bsha8AGSsRYsW7nwvKBVbtWpV3H5/5Y477gjy8Frn+ZszfvQmQgnO170ccMABsV9//bXE+XLy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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Relationship between price per lb and no of units per lb of item X')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#######\n",
    "x=(23,55,44,66,98)\n",
    "y=(90,66,55,47,88)\n",
    "plt.figure()\n",
    "plt.scatter(x[:3],y[:3],s=100,c='red',label='Rejected')\n",
    "plt.scatter(x[3:],y[3:],s=100,c='green',label='Selected')\n",
    "plt.legend()\n",
    "plt.xlabel('Price per lb')\n",
    "plt.ylabel('Units per lb')\n",
    "plt.title(\"Relationship between price per lb and no of units per lb of item X\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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