working_set_fwjr.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "import datetime\n",
    "from functools import reduce\n",
    "import os\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "%matplotlib nbagg\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from fastset import FastSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data collected from a spark query at CERN, in pandas pickle format\n",
    "# CRAB jobs only have data after Oct. 2017\n",
    "ws = pd.read_pickle(\"data/working_set_day.pkl.gz\")\n",
    "# spark returns lists, we want to use sets\n",
    "ws['working_set_blocks'] = ws.apply(lambda x: FastSet(x.working_set_blocks), 'columns')\n",
    "ws['working_set'] = ws.apply(lambda x: FastSet(x.working_set), 'columns')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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CAARCgLAaKKRsQN1sge1ChbNMyQCQPiHMx0m9gNMBIDwAgEgQkEAGE00MnagTvagVsGieYZEAAj/cKbDxH6AiQAQXiAARCgIAKOJRsYO1Mke1CpYNM+QCADhH850mNgPMBEAwgsEgAgFAWA00cjYgTrZg1oFi+YZEgEg/MOZDhP7ASYCQHiBABChIACMJhoZO1Ane1CrYNE8QyIAhH8402FiP8BEAAgvEAAiFASA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhBQJAhIIAMJpoZOxAnexBrYJF8wyJABD+4UyHif0AEwEgvEAAiFAQAEYTjYwdqJM9qFWwaJ4hEQDCP5zpMLEfYCIAhBcIABEKAsBoopGxA3WyB7UKFs0zJAJA+IczHSb2A0wEgPACASBCQQAYTTQydqBO9qBWwaJ5hkQACP9wpsPEfoCJABBeIABEKAgAo4lGxg7UyR7UKlg0z5AIAOEfznSY2A8wEQDCCwSACAUBYDTRyNiBOtmDWgWL5hkSASD8w5kOE/sBJgJAeIEAEKEgAIwmGhk7UCd7UKtg0TxDIgCEfzjTYWI/wEQACC8QACIUBIDRRCNjB+pkD2oVLJpnSASA8A9nOkzsB5gIAOEFAkCEggAwmmhk7ECd7EGtgkXzDIkAEP7hTIeJ/QATASC8QACIUBAARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFwgAEQoCwGiikbEDdbIHtQoWzTMkAkD4hzMdJvYDTASA8AIBIEJBABhNNDJ2oE72oFbBonmGRAAI/3Cmw8R+gIkAEF4gAEQoCACjiUbGDtTJHtQqWDTPkAgA4R/OdJjYDzARAMILBIAIBQFgNNHI2IE62YNaBYvmGRIBIPzDmQ4T+wEmAkB4gQAQoSAAjCYaGTtQJ3tQq2DRPEMiAIR/ONNhYj/ARAAILxAAIhQEgNFEI2MH6mQPahUsmmdIBIDwD2c6TOwHmAgA4QUCQISCADCaaGTsQJ3sQbBdgBUAACAASURBVK2CRfMMiQAQ/uFMh4n9ABMBILxAAIhQEABGE42MHaiTPahVsGieIREAwj+c6TCxH2AiAIQXCAARCgLAaKKRsQN1sge1ChbNMyQCQPiHMx0m9gNMBIDwAgEgQkEAGE00MnagTvagVsGieYZEAAj/cKbDxH6AiQAQXiAARCgIAKOJRsYO1Mke1CpYNM+QCADhH850mNgPMBEAwgsEgAgFAWA00cjYgTrZg1oFi+YZEgEg/MOZDhP7ASYCQHiBABChIACMJhoZO1Ane1CrYNE8QyIAhH8402FiP8BEAAgvEAAiFASA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhBQJAhIIAMJpoZOxAnexBrYJF8wyJABD+4UyHif0AEwEgvEAAiFAQAEYTjYwdqJM9qFWwaJ4hEQDCP5zpMLEfYCIAhBeyOgA8tcHTjauvvjrtWhs2bNDkyZNVWlqq3NxclZaWavLkydqwYUPG99PR0aG6ujpVVVWpqKhI+fn5KisrU3V1tXbt2pXxOi0tLaqtrVVFRYUKCwtVWFioiooK1dbW6vDhwxmvs3PnTlVXV6usrEz5+fkqKipSVVWV6urq1NHRkfE6Z4MAMJpoZOxAnexBrYJF8wyJABD+4UyHif0AEwEgvEAAmCYA7Orq0qxZs1J+/+zZs9XV1ZXyXlpaWjR27Nika+Tl5WnVqlVpf6Zt27appKQk6TqDBg1SY2Nj2nVWrlyp3NzcpOuMGzdOLS0tadc5WwSA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhhUgEgHPnztXOnTuTjv379yddY9GiRe46lZWVqq+v1/bt21VfX6/Kykr32uLFi5Ou0dnZqaqqKnfulClTtHHjRjU2Nmr58uUaOHCgHMdRz549Uz6j8ODBgxowYIAcx1FOTo4WLFighoYGNTQ0aMGCBcrJyZHjOBo4cGDKv9Tr169Xz5495TiOiouLtXz5cjU2Nmrjxo2aMmWKe59VVVXq7OzM7A/7DBEARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFyIRAC5ZsuSsvr+pqckN1caMGRP3F621tVVjxoxxA7k9e/YkXOfxxx9372XevHlx1/fs2aM+ffrIcRwNGzYs6ctvb7nlFnedp556Ku76k08+6V6fOXNmwjXa29tVVlYmx3HUp08f7d27N27OvHnz3HXWrFmTcJ1zRQAYTTQydqBO9qBWwaJ5hkQACP9wpsPEfoCJABBeIABMYe7cue4aW7duTThn69atKcM9SRo5cqQcx1G/fv3U2tqacM7SpUtThnvNzc3us/YmTJiQ9J4nTJjgPpuwubk57roZEi5dujThGq2trerbt68cx9GoUaOSPta5IACMJhoZO1Ane1CrYNE8QyIAhH8402FiP8BEAAgvEAAm0d3drcGDB8txHI0YMSLl3PLycjmOo9LSUnV3d8dca2pqcu9jzpw5Sddobm52502fPj3u+ooVK9zr69atS7pOfX29O2/FihVx16dPn+5eTxQQnlJTU+POa2pqSjrvbBEARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFwgAk9i3b5/7/TU1NSnnVldXu3NPfz9B8+W/9fX1KdcZPny4HMfR0KFD466ZL/9NFdwdOnTInTdjxoy460OGDJHjOCovL095L2vXrnXXeeKJJ1LOPRsEgNFEI2MH6mQPahUsmmdIBIDwD2c6TOwHmAgA4YVIBICjRo3SyJEjdcEFF6igoEDDhg3TjBkz9Ktf/Srp977wwgvu9y9btizl4zz88MPu3PXr18dcu+uuu9xrO3bsSLnOl770JTmOox49euj48eMx1z7xiU/IcRxddNFFaX5que8nOHbs2JivHzt2zL2XSZMmpVzjjTfecOfOnz8/7WOeKQLAaKKRsQN1sge1ClaQzfOpx0k3rr766rRrbdiwQZMnT1Zpaalyc3NVWlqqyZMnp/zgsdN1dHSorq5OVVVVKioqUn5+vsrKylRdXa1du3ZlvE5LS4tqa2tVUVGhwsJCFRYWqqKiQrW1tTp8+HDG6+zcuVPV1dUqKytTfn6+ioqKVFVVpbq6uqTvpewVAkD4hTMdJvYDTASA8EIkAsBUY/Lkyfr73/8e9711dXXunKeffjrl4zz99NPu3B/96Ecx12666Sb3WktLS8p1br/9dnfuH//4x5hrxcXFchxHo0ePTvtzjx49Wo7jqKSkJObrb731lrv+7bffnnKNlpYWd+60adPSPubp3n777ZRj+/bt7vq7d+9WW1vbOY0jR464B2LVfc/r47UvnHfjXH/GbBhmnY4cORL6/TCok+2DWgU7du/ebVUA2NXVpVmzZqX8/tmzZ6urqyvlvbS0tGjs2LFJ18jLy9OqVavS/kzbtm1TSUlJ0nUGDRqkxsbGtOusXLlSubm5SdcZN25c2p7rXBAAwi/mfmhrI/CJOvYDTOe6HwgAIWV5AHjhhRdq2rRpWrVqlbZs2aIdO3boxRdf1N13363+/fvHNM/t7e0x3/v973/fvb5x48aUj7NhwwZ37oMPPhhz7Qtf+IJ77f3330+5zoIFC9y5v/3tb+N+FsdxdMUVV6T9uceNGyfHcVRQUBDzdTN0W7hwYco12tra3LkTJ05M+5iny/Q/XBzH0erVq93DjMFgMBiM83WsXr068ABw7ty52rlzZ9Jx+luPmBYtWuSuU1lZqfr6em3fvl319fWqrKx0ry1evDjpGp2dnaqqqnLnTpkyRRs3blRjY6OWL1+ugQMHynE++PCxVM8oPHjwoAYMGCDHcZSTk6MFCxaooaFBDQ0NWrBggXJycuQ4jgYOHJjyz3b9+vXuh6IVFxdr+fLlamxs1MaNGzVlyhT3PquqqtTZ2ZnZH/YZIgCEXwh8YGI/wEQACC9kdQB49OjRpNfefffdmOb3kUceibl+3333udc2b96c8nE2b97szr3//vtjrl1zzTXutXS/Ya+trXXnbtmyJebaqWZ3/PjxKdeQpPHjx8txHPXq1Svm6w0NDe76tbW1Kdfo6upy51577bVpH/N0BIAMBoPByLYRRgB4Nu9jLH3wIWSnQrUxY8bE/cdCa2urxowZ4wZye/bsSbiO+V7G8+bNi7u+Z88e961Hhg0blvTlt+Z7GT/11FNx15988kn3+syZMxOu0d7errKyMjmOoz59+mjv3r1xc+bNm+eus2bNmoTrnCsCQPiFwAcm9gNMBIDwQlYHgOns27dPvXv3dptWE88APLdnAPISYF4CnK5OvFzx/B3UyZ5BrYIdYbwE+GwDwLlz57prbN26NeGcrVu3pgz3JGnkyJFyHEf9+vVTa2trwjlLly5NGe41Nze7v8icMGFC0nueMGGC+2zCRB94ZoaES5cuTbhGa2ur+vbtK8f54D2g/UAACL+Y+6GtjcAn6tgPMJ3rfiAAhBTxAFCKDej+/Oc/u1/nPQDP7T0A0+FDQKKJRsYO1Mke1CpYYXwIyNkEgN3d3Ro8eLAcx9GIESNSzi0vL5fjOCotLVV3d3fMtaamJvc+5syZk3SN5uZmd9706dPjrq9YscK9vm7duqTr1NfXu/NWrFgRd3369Onu9UQB4Sk1NTXuvKampqTzzhYBIPzCmQ4T+wEmAkB4IfIB4Le+9S33L8L27dvdr2fjpwC/99577r3wKcA0z2GgkbEDdbIHtQqWLQHgvn373O+vqalJObe6utqde/r7CZov/62vr0+5zvDhw+U4joYOHRp3zXz5b6rg7tChQ+68GTNmxF0fMmSIHMdReXl5yntZu3atu84TTzyRcu7ZIACEXzjTYWI/wEQACC9EPgCcP39+wgCQ5tme5lmyo4EGjYwtqJM9qFWwwggAR40apZEjR+qCCy5QQUGBhg0bphkzZuhXv/pV0u/Nxl9iHjt2LCt/iWlD/0IPExzOdJjYDzARAMILkQ8Av/jFL7p/Ed555x3362fy8pkRI0bw8pkzRAAYTTQydqBO9qBWwQojAEw1Jk+erL///e9x38vbmJzb25gE+T7GNryHMe9jHNzgfV0Z7AeGX/shyPcxxvkr0gHg/v37lZubK8dxdOmll8Zd5w207XgDbYkA0BZmndraCCvOV9TJHtQqWEEGgBdeeKGmTZumVatWacuWLdqxY4defPFF3X333erfv797H1dffbXa29tjvpcPMju3DzLLJHw9NVavXh36p1MzGAwGg5FurF69mgAQ2RsAPv/88+ro6Eh6/d1331VlZaX7l+Chhx6Km9PU1KRevXrJcRyNGTMm7j+u2traNGbMGDmOo5ycHO3evTvhY5kvA070W+u9e/e6L3kZNmxY0vs2Xwac6Df6Tz31lHt95syZCddob29XWVmZHMdRnz59tHfv3rg58+bNc9dZs2ZNwnXOFQFgNBFW2IE62YNaBSvIAPDo0aNJr53ewzzyyCMx1++77z732ubNm1M+zubNm925999/f8y1a665xr3W1dWVcp3a2lp37pYtW2KunfoF5vjx41OuIUnjx4+X4zjq1atXzNcbGhrc9Wtra1Ou0dXV5c699tpr0z7m6QgAGQwGg5FtgwAQUhYHgJdccokGDx6sO+64Q2vXrtVrr72mHTt26KWXXtLdd9+toqIi9y9AVVWVTpw4kXCdRYsWufMqKyu1bt06vf7661q3bl1M87148eKk99LZ2akrr7zSnTt16lRt2rRJjY2NevTRRzVw4ED3WXsbNmxIus7Bgwc1YMAAN3BcuHChtmzZoi1btmjhwoXKycmR4zgaMGBAyr/U69evd5vx4uJiPfroo2psbNSmTZs0derUmD+Xzs7OzP/QzwABYDQRVtiBOtmDWgXrfHr/nH379ql3797uLw9NPAPw3J4ByEuAeQlwWIOXfDLYDwy/9gMvAYaU5QFgJr+5nTp1asrfsnd1denWW29NucasWbPS/ma8paVFY8eOTbpGXl6eVq1alfbn2rZtm0pKSpKuU1JSom3btqVdZ+XKle7LnxONcePGpX2/n3NBABhNZp3a2ggrzlfUyR7UKljnUwAoxQZ0f/7zn92v8x6A5/YegOnwISDwC2c6TOwHmM51P5xvPQzCkbUB4Msvv6x7771X1113nYYPH65+/fopJydHF198sSoqKlRTU6PXXnst4/XWr1+vSZMmafDgwcrNzdXgwYM1adKklM/YO11HR4cee+wxVVVVqX///srPz1dZWZluu+027dq1K+N1WlpadM899+hjH/uYCgoKVFBQoIqKCt1zzz06fPhwxuvs3LlTt912m8rKypSfn6/+/furqqpKdXV1KV8+7QUCwGiikbEDdbIHtQrW+dY8f+tb33LvZ/v27e7Xs/FTgN977z33XvgUYHqYbMWZDhP7ASYCQHghawNAnN8IAKOJRsYO1Mke1CpY51vzPH/+/IQB4L59+9yv19TUpFyjurranbt///6Ya+Z7GNfX16dcZ/jw4XIcR0OHDo27Zr6HcaIPKDvl0KFD7rwZM2bEXR8yZIgcx1F5eXnKe1m7dq27zhNPPJFy7tkgAIRfONNhYj/ARAAILxAAIhQEgNFEI2MH6mQPahWs8615/uIXv+jezzvvvON+vbu7W4MHD5bjOBoxYkTKNUaMGCHHcVRaWqru7u6Ya01NTe76c+bMSbpGc3OzO2/69Olx11esWOFeX7duXdJ16uvr3XkrVqyIuz59+vSMgsSamhp3XlNTU9J5Z4sAEH7hTIeJ/QATASC8QACIUBAARhONjB2okz2oVbDOp+Z5//797nv5XnrppXHX586d697r1q1bE66xdetWd868efMSzhk5cqQcx1G/fv3U2tqacM7SpUvddZ566qm4683Nze6Hj02YMCHpzzRhwgQ5zgcfipYo4HvyySfdx1m6dGnCNVpbW9W3b185jqNRo0YlfaxzQQAIv3Cmw8R+gIkAEF4gAEQoCACjiUbGDtTJHtQqWEE1z88//3zK9+J99913VVlZ6d7LQw89FDenqalJvXr1kuM4GjNmTNz+aGtr05gxY+Q4jnJycrR79+6Ej2W+DDjRh2/s3bvXfd++YcOGJb1v82XAiT6Y5KmnnnKvz5w5M+Ea7e3tKisrk+M46tOnj/bu3Rs3Z968ee46a9asSbjOuSIAhF8402FiP8BEAAgvEAAiFASA0UQjYwfqZA9qFaygmudLLrlEgwcP1h133KG1a9fqtdde044dO/TSSy/p7rvvVlFRkXsfVVVVOnHiRMJ1Fi1a5M6rrKzUunXr9Prrr2vdunUxAeLixYuT3ktnZ6euvPJKd+7UqVO1adMmNTY26tFHH9XAgQPdZ+2l+mC0gwcPasCAAW7guHDhQm3ZskVbtmzRwoULlZOTI8dxNGDAgJR/tuvXr3efTVhcXKxHH31UjY2N2rRpk6ZOnRrz59LZ2Zn5H/oZIACEXzjTYWI/wEQACC8QACIUBIDRRCNjB+pkD2oVrCADwFOPk2pMnTpVR48eTbpOV1eXbr311pRrzJo1S11dXSnvp6WlRWPHjk26Rl5enlatWpX259q2bZtKSkqSrlNSUqJt27alXWflypXuy58TjXHjxqmlpSXtOmeLABB+4UyHif0AEwEgvEAAiFAQAEYTjYwdqJM9qFWwgmqeX375Zd1777267rrrNHz4cPXr1085OTm6+OKLVVFRoZqaGr322msZr7d+/XpNmjRJgwcPVm5urgYPHqxJkyalfMbe6To6OvTYY4+pqqpK/fv3V35+vsrKynTbbbdp165dGa/T0tKie+65Rx/72MdUUFCggoICVVRU6J577tHhw4czXmfnzp267bbbVFZWpvz8fPXv319VVVWqq6tL+fJpLxAAwi+c6TCxH2AiAIQXCAARCgLAaKKRsQN1sge1ChbNMyQCQPiHMx0m9gNMBIDwAgEgQkEAGE00MnagTvagVsGieYZEAAj/cKbDxH6AiQAQXiAARCgIAKOJRsYO1Mke1CpYNM+QCADhH850mNgPMBEAwgsEgAgFAWA00cjYgTrZg1oFi+YZEgEg/MOZDhP7ASYCQHiBABChIACMJhoZO1Ane1CrYNE8QyIAhH8402FiP8BEAAgvEAAiFASA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhBQJAhIIAMJpoZOxAnexBrYJF8wyJABD+4UyHif0AEwEgvEAAiFAQAEYTjYwdqJM9qFWwaJ4hEQDCP5zpMLEfYCIAhBcIABEKAsBoopGxA3WyB7UKFs0zJAJA+IczHSb2A0wEgPACASBCQQAYTTQydqBO9qBWwaJ5hkQACP9wpsPEfoCJABBeIABEKAgAo4lGxg7UyR7UKlg0z5AIAOEfznSY2A8wEQDCCwSACAUBYDTRyNiBOtmDWgWL5hkSASD8w5kOE/sBJgJAeIEAEKEgAIwmGhk7UCd7UKtg0TxDIgCEfzjTYWI/wEQACC8QACIUBIDRRCNjB+pkD2oVLJpnSASA8A9nOkzsB5gIAOEFAkCEggAwmmhk7ECd7EGtgkXzDIkAEP7hTIeJ/QATASC8QACIUBAARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFwgAEQoCwGiikbEDdbIHtQoWzTMkAkD4hzMdJvYDTASA8AIBIEJBABhNNDJ2oE72oFbBonmGRAAI/3Cmw8R+gIkAEF4gAEQoCACjiUbGDtTJHtQqWDTPkAgA4R/OdJjYDzARAMILBIAIBQFgNNHI2IE62YNaBYvmGRIBIPzDmQ4T+wEmAkB4gQAQoSAAjCYaGTtQJ3tQq2DRPEMiAIR/ONNhYj/ARAAILxAAIhQEgNFEI2MH6mQPahUsmmdIBIDwD2c6TOwHmAgA4QUCQISCADCaaGTsQJ3sQa2CRfMMiQAQ/uFMh4n9ABMBILxAAIhQEABGE42MHaiTPahVsGieIREAwj+c6TCxH2AiAIQXCAARCgLAaKKRsQN1sge1ChbNMyQCQPiHMx0m9gNMBIDwAgEgQkEAGE00MnagTvagVsGieYZEAAj/cKbDxH6AiQAQXiAARCgIAKOJRsYO1Mke1CpYNM+QCADhH850mNgPMBEAwgsEgAgFAWA00cjYgTrZg1oFi+YZEgEg/MOZDhP7ASYCQHiBABChIACMJhoZO1Ane1CrYNE8QyIAhH8402FiP8BEAAgvEAAiFASA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhBQJAhIIAMJpoZOxAnexBrYJF8wyJABD+4UyHif0AEwEgvEAAiFAQAEYTjYwdqJM9qFWwaJ4hEQDCP5zpMLEfYCIAhBcIABEKAsBoopGxA3WyB7UKFs0zJAJA+IczHSb2A0wEgPACASBCQQAYTTQydqBO9qBWwaJ5hkQACP9wpsPEfoCJABBeIABEKAgAo4lGxg7UyR7UKlg0z5AIAOEfznSY2A8wEQDCCwSACAUBYDTRyNiBOtmDWgWL5hkSASD8w5kOE/sBJgJAeIEAEKEgAIwmGhk7UCd7UKtg0TxDIgCEfzjTYWI/wEQACC8QACIUBIDRRCNjB+pkD2oVLJpnSASA8A9nOkzsB5gIAOEFAkCEggAwmmhk7ECd7EGtgkXzDIkAEP7hTIeJ/QATASC8QACIUBAARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFwgAEQoCwGiikbEDdbIHtQoWzTMkAkD4hzMdJvYDTASA8AIBIEJBABhNNDJ2oE72oFbBonmGRAAI/3Cmw8R+gIkAEF4gAEQoCACjiUbGDtTJHtQqWDTPkAgA4R/OdJjYDzARAMILBIAIBQFgNNHI2IE62YNaBYvmGRIBIPzDmQ4T+wEmAkB4gQAQoSAAjCYaGTtQJ3tQq2DRPEMiAIR/ONNhYj/ARAAILxAAIhQEgNFEI2MH6mQPahUsmmdIBIDwD2c6TOwHmAgA4QUCQISCADCaaGTsQJ3sQa2CRfMMiQAQ/uFMh4n9ABMBILxAAIhQEABGE42MHaiTPahVsGieIREAwj+c6TCxH2AiAIQXCAARCgLAaKKRsQN1sge1ChbNMyQCQPiHMx0m9gNMBIDwAgEgQkEAGE00MnagTvagVsGieYZEAAj/cKbDxH6AiQAQXiAARCgIAKOJRsYO1Mke1CpYNM+QCADhH850mNgPMBEAwgsEgAgFAWA00cjYgTrZg1oFi+YZEgEg/MOZDhP7ASYCQHiBABChIACMJhoZO1Ane1CrYNE8QyIAhH8402FiP8BEAAgvEAAiFASA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhBQJAhIIAMJpoZOxAnexBrYJF8wyJABD+4UyHif0AEwEgvEAAiFAQAEYTjYwdqJM9qFWwaJ4hEQDCP5zpMLEfYCIAhBcIABEKAsBoopGxA3WyB7UKFs0zJAJA+IczHSb2A0wEgPACASBCQQAYTTQydqBO9qBWwaJ5hkQACP9wpsPEfoCJABBeIABEKAgAo4lGxg7UyR7UKlg0z5AIAOEfznSY2A8wEQDCCwSACAUBYDTRyNiBOtmDWgWL5hkSASD8w5kOE/sBJgJAeIEAEKEgAIwmGhk7UCd7UKtg0TxDIgCEfzjTYWI/wEQACC8QACIUBIDRRCNjB+pkD2oVLJpnSASA8A9nOkzsB5gIAOEFAkCEggAwmmhk7ECd7EGtgkXzDIkAEP7hTIeJ/QATASC8QACIUBAARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFwgAEQoCwGiikbEDdbIHtQoWzTMkAkD4hzMdJvYDTASA8AIBIEJBABhNNDJ2oE72oFbBonmGRAAI/3Cmw8R+gIkAEF4gAEQoCACjiUbGDtTJHtQqWDTPkAgA4R/OdJjYDzARAMILBIAIBQFgNNHI2IE62YNaBYvmGRIBIPzDmQ4T+wEmAkB4gQAQoSAAjCYaGTtQJ3tQq2DRPEMiAIR/ONNhYj/ARAAILxAAIhQEgNFEI2MH6mQPahUsmmdIBIDwD2c6TOwHmAgA4QUCQISCADCaaGTsQJ3sQa2CRfMMiQAQ/uFMh4n9ABMBILxAAIhQEABGE42MHaiTPahVsGieIREAwj+c6TCxH2AiAIQXCAARCgLAaKKRsQN1sge1ChbNMyQCQPiHMx0m9gNMBIDwAgEgQkEAGE00MnagTvagVsGieYZEAAj/cKbDxH6AiQAQXiAARCgIAKOJRsYO1Mke1CpYNM+QCADhH850mNgPMBEAwgsEgAgFAWA00cjYgTrZg1oFi+YZEgEg/MOZDhP7ASYCQHiBABChIACMJhoZO1Ane1CrYNE8QyIAhH8402FiP8BEAAgvEAAiFASA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhBQJAhIIAMJpoZOxAnexBrYJF8wyJABD+4UyHif0AEwEgvEAAiFAQAEYTjYwdqJM9qFWwaJ4hEQDCP5zpMLEfYCIAhBcIABEKAsBoopGxA3WyB7UKFs0zJAJA+IczHSb2A0wEgPACASBCQQAYTTQydqBO9qBWwaJ5hkQACP9wpsPEfoCJABBeIABEKAgAo4lGxg7UyR7UKlg0z5AIAOEfznSY2A8wEQDCCwSACAUBYDTRyNiBOtmDWgWL5hkSASD8w5kOE/sBJgJAeIEAEKEgAIwmGhk7UCd7UKtg0TxDIgCEfzjTYWI/wEQACC8QACIUBIDRRCNjB+pkD2oVLJpnSASA8A9nOkzsB5gIAOEFAkCEggAwmmhk7ECd7EGtgkXzDIkAEP7hTIeJ/QATASC8QACIUBAARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFwgAEQoCwGiikbEDdbIHtQoWzTMkAkD4hzMdJvYDTASA8AIBIEJBABhNNDJ2oE72oFbBonmGRAAI/3Cmw8R+gIkAEF4gAEQoCACjiUbGDtTJHtQqWDTPkAgA4R/OdJjYDzAR3RKCOAAAIABJREFUAMILBIAIBQFgNNHI2IE62YNaBYvmGRIBIPzDmQ4T+wEmAkB4gQAQoSAAjCYaGTtQJ3tQq2DRPEMiAIR/ONNhYj/ARAAILxAAIhQEgNFEI2MH6mQPahUsmmdIBIDwD2c6TOwHmAgA4QUCQISCADCaaGTsQJ3sQa2CRfMMiQAQ/uFMh4n9ABMBILxAAIhQEABGE42MHaiTPahVsGieIREAwj+c6TCxH2AiAIQXCAARCgLAaKKRsQN1sge1ChbNMyQCQPiHMx0m9gNMBIDwAgEgQkEAGE00MnagTvagVsGieYZEAAj/cKbDxH6AiQAQXiAARCgIAKOJRsYO1Mke1CpYNM+QCADhH850mNgPMBEAwgsEgAgFAWA00cjYgTrZg1oFi+YZEgEg/MOZDhP7ASYCQHghkgHgggUL3M3vOI5+/etfp/2eDRs2aPLkySotLVVubq5KS0s1efJkbdiwIePH7ejoUF1dnaqqqlRUVKT8/HyVlZWpurpau3btynidlpYW1dbWqqKiQoWFhSosLFRFRYVqa2t1+PDhjNfZuXOnqqurVVZWpvz8fBUVFamqqkp1dXXq6OjIeJ2zQQAYTTQydqBO9qBWwaJ5hkQACP9wpsPEfoCJABBeiFwAuGPHDuXk5GQcAHZ1dWnWrFkx808fs2fPVldXV8rHbWlp0dixY5OukZeXp1WrVqW9/23btqmkpCTpOoMGDVJjY2PadVauXKnc3Nyk64wbN04tLS1p1zlbBIDRRCNjB+pkD2oVLJpnSASA8A9nOkzsB5gIAOGFSAWAXV1dbgg3cODAjALARYsWufMqKytVX1+v7du3q76+XpWVle61xYsXJ12js7NTVVVV7twpU6Zo48aNamxs1PLly9176dmzZ8pnFB48eFADBgyQ4zjKycnRggUL1NDQoIaGBi1YsMANNgcOHJjyL/X69evVs2dPOY6j4uJiLV++XI2Njdq4caOmTJni3mdVVZU6Ozsz+rM9UwSA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhhUgFgMuWLZPjOBoxYoQWL16cNgBsampyQ7UxY8bE/UVrbW3VmDFj3EBuz549Cdd5/PHH3ceaN29e3PU9e/aoT58+chxHw4YNS/ry21tuucVd56mnnoq7/uSTT7rXZ86cmXCN9vZ2lZWVyXEc9enTR3v37o2bM2/ePHedNWvWJFznXBEARhONjB2okz2oVbBoniERAMI/nOkwsR9gIgCEFyITAP7pT39SQUGBHMfRyy+/rCVLlqQNAOfOnevO2bp1a8I5W7duTRnuSdLIkSPlOI769eun1tbWhHOWLl2aMtxrbm52n7U3YcKEpD/nhAkT3GcTNjc3x103Q8KlS5cmXKO1tVV9+/aV4zgaNWpU0sc6FwSA0UQjYwfqZA9qFSyaZ0gEgPAPZzpM7AeYCADhhcgEgBMnTox5Zly6ALC7u1uDBw92nzGYSnl5uRzHUWlpqbq7u2OuNTU1uY8zZ86cpGs0Nze786ZPnx53fcWKFe71devWJV2nvr7enbdixYq469OnT3evJwoIT6mpqXHnNTU1JZ13tggAo4lGxg7UyR7UKlg0z5AIAOEfznSY2A8wEQDCC5EIAE89661fv37uB1ukCwD37dvnXq+pqUm5fnV1tTt3//79MdfMl//W19enXGf48OFyHEdDhw6Nu2a+/DdVcHfo0CF33owZM+KuDxkyRI7jqLy8POW9rF271l3niSeeSDn3bBAARhONjB2okz2oVbDOh+Z5wYIFMR/alep9jE/ZsGGDJk+erNLSUuXm5qq0tFSTJ09O+b7Dp+vo6FBdXZ2qqqpUVFSk/Px8lZWVqbq6Wrt27cp4nZaWFtXW1qqiokKFhYUqLCxURUWFamtrdfjw4YzX2blzp6qrq1VWVqb8/HwVFRWpqqpKdXV1Sd9KxSsEgPALZzpM7AeYCADhhawPAI8ePep+aq75KbvpAsAXXnjBvb5s2bKUj/Hwww+7c9evXx9z7a677nKv7dixI+U6X/rSl+Q4jnr06KHjx4/HXPvEJz4hx3F00UUXpfmJ5b6f4NixY2O+fuzYMfdeJk2alHKNN954w507f/78tI95pggAo4lGxg7UyR7UKlhhN887duxw35s4kwCwq6tLs2bNipl/+pg9e7a6urpSPm5LS4v7IWqJRl5eXkyPlcy2bdvcnizRGDRokBobG9Ous3LlSuXm5iZdZ9y4ce4vfP1AAAi/cKbDxH6AiQAQXsj6APC2226T4zi68sorY16emy4ArKurc68//fTTKR/j6aefduf+6Ec/irl20003udfSNaO33367O/ePf/xjzLXi4mI5jqPRo0en+Yml0aNHy3EclZSUxHz9rbfecte//fbbU67R0tLizp02bVraxzzd22+/nXJs377dXX/37t1qa2s7p3HkyBH3QKy673l9vPaF826c68+YDcOs05EjR0K/HwZ1sn1Qq2DH7t27Q2ueu7q63BBu4MCBGQWAixYtcudVVlaqvr5e27dvV319vSorK91rixcvTrpGZ2enqqqq3LlTpkzRxo0b1djYqOXLl7v30rNnz5TPKDx48KAGDBggx/ngg9MWLFighoYGNTQ0aMGCBW6wOXDgwJR/tuvXr3ffE7m4uFjLly9XY2OjNm7cqClTprj3WVVVpc7Ozoz+bM8UASD8Yu6HtjYCn6hjP8B0rvuBABBSlgeADQ0N6tGjh3JycrRz586Ya+kCwO9///vu9Y0bN6Z8nA0bNrhzH3zwwZhrX/jCF9xr77//fsp1zJf1/Pa3v425duGFF8pxHF1xxRUp15CkcePGyXEcFRQUxHzdDN0WLlyYco22tjZ37sSJE9M+5ulSPdvg9LF69Wr3MGMwGAwG43wdq1evDq15XrZsmRzng/clXrx4cdoAsKmpyQ3VxowZE/cfC62trRozZowbyO3ZsyfhOuZbmST6sLM9e/a4rzwYNmxY0pffmm9lkujDzswPKTv1fs2na29vV1lZmRzHUZ8+fbR37964OfPmzXPXWbNmTcJ1zhUBIPxC4AMT+wEmAkB4IWsDwJMnT2rEiBFJX8KaLgC877773OubN29O+VibN292595///0x16655hr3WrqX2NTW1rpzt2zZEnPt1G+7x48fn3INSRo/frwcx1GvXr1ivt7Q0OCuX1tbm3KNrq4ud+61116b9jFPRwDIYDAYjGwbYQWAf/rTn1RQUCDHcfTyyy+n7WEkae7cue6crVu3JpyzdevWlOGeJI0cOVKO88H7KLe2tiacs3Tp0pThXnNzs9vHTJgwIenPOWHCBPfZhIne79gMCZcuXZpwjdbWVvXt21eO42jUqFFJH+tcEADCLwQ+MLEfYCIAhBeyNgA81RwPHTo07v30zOs8AzCxc30GIC8B5iXA6erEyxXP30Gd7BnUKtgR1kuAJ06cGPPMuHQ9THd3twYPHuw+YzCV8vJyOY6j0tLSmLdKkT54FuGpx5kzZ07SNZqbm91506dPj7u+YsUK9/q6deuSrlNfX+/OW7FiRdz16dOnu9dTfSBaTU2NO6+pqSnpvLNFAAi/mPuhrY3AJ+rYDzCd634gAISUpQHgW2+95b459HPPPZdwDu8B6O97AKbDh4BEE42MHaiTPahVsMJonk89661fv35uH5Guh9m3b597vaamJuX61dXV7tz9+/fHXDNf/ltfX59yneHDh7u/eD2d+fLfVMHdoUOH3HkzZsyIuz5kyBA5jqPy8vKU97J27Vp3nSeeeCLl3LNBAAi/cKbDxH6AiQAQXsjKAPBUM1tWVqb6+vqEY+rUqTEvhz319VPPFszGTwF+77333HvhU4BpnsNAI2MH6mQPahWsoJvno0ePup+aa37KbroAMBt7mGPHjmVlD2ND/0IPExzOdJjYDzARAMILWRkAzpw5093c/4+9uw/yqrzPP36E7UIQ8QF5CBQyXQ2ID2lpVtOMaxzNKAmJweikkWTUjgZQbJtJMhGZStKfmUg0iZlKK+ITk7RxETN5ckCSDEkL1WUho5liqwtoHJ2GpqukNe5ageX6/ZHh5LPu9/vdBe5z3/vZ+/2aOf9wDmcXP/feuXLtnrNHevzyl7+UxHfPPX33XPIRoEGQ8YI5+cGs4oodnhctWqSiKHT++ef3ezyXpxiqfYoh5mtMPLzChNeYxDt4rQMH64GjqvWQ6jUmGF4oAOsUgEfy/pzDv2yE9+cMHQVgnuycenspK4Yr5uQHs4orZgG4ZcsWHXfccWpqatLOnTv7neM9xtW+x/hIciO/yIyDg4ODw8OR6heZYXgZkQXgUPAb9EbOb9CTKAC9oKzwgTn5waziilUAvvnmm+U3F2s9wjpYhrntttvK85s3b274sTZv3lxe+6UvfanfuYsvvrg819fX1/A+K1asKK/dunVrv3OH88sFF1zQ8B6SdMEFF6goCo0ePbrfn2/ZsqW8/4oVKxreo6+vr7z2/e9//6Af860oADk4ODg4RtpBAQiJArBhAdjV1aXRo0erKAq1trYO+D9Xvb29am1tVVEUampq0q5du2rexz4GXOuxlT179pTvvDn99NN14MCBmvexjwHXeqRn/fr15fnDvynwrfbv36+WlhYVRaEJEyZoz549A65ZunRpeZ+1a9fWvM+xogDME2WFD8zJD2YVV6wC8HBGmTlz5oD36dnz/ARgbcf6E4A8AswjwKkOHvnkYD1wVLUeeAQYEgVgwwJQkm655Zbyurlz52rdunXasWOH1q1bp7lz55bnli9fXvceBw8e1Pnnn19ee+WVV2rTpk3q7OzUqlWrNHny5PKn9jZu3Fj3Pi+99JImTZpUFo7Lli3T1q1btXXrVi1btkxNTU0qikKTJk1q+EW9YcOG8rvxU6ZM0apVq9TZ2alNmzb1++UobW1tOnjw4JD+ex4pCsA82Tn19lJWDFfMyQ9mFVeMAvDZZ59Vc3OziqLQD37wg5rX8A7Aat8BOBh+CQiqwp4Oi/UA61jXA78EBBIF4KAFYF9fn6677rqGj39cf/31gz4a093drXPPPbfuPcaMGdPvN/zVs23btvI3AtY6pk6dqm3btg16n/vuu6/8Pxi1jvPOO2/QsH8sKADzRJDxgTn5waziihGeD/9isZaWFrW3t9c87DfrVqxYUf754Z8WHIm/Bfi1114rPxd+CzAZZqRiT4fFeoBFAYgQKAAHKQAP27BhgxYsWKBp06apublZ06ZN04IFCxr+xN5bHThwQPfcc4/a2to0ceJEjR07Vi0tLVq0aJGeeeaZId+nu7tbt956q84++2yNHz9e48eP1znnnKNbb71Vr7zyypDvs3PnTi1atEgtLS0aO3asJk6cqLa2Nq1evbruY8ihUADmiSDjA3Pyg1nFFSM8h/hFZs8//3z5Z0uWLGn48Q4XjkVR6IUXXuh3zr7CpL29veF9Zs2apaL43WPLb2VfYdLoF5D96le/Kq+75pprBpyfMWOGiqLQ7NmzG34uDz/8cHmfhx56qOG1R4MCEFVhT4fFeoBFAYgQsi0AkRYFYJ4IMj4wJz+YVVxeCsBDhw5p2rRpKopCZ5xxRsOPd/iXjUyfPl2HDh3qd66rq6u89w033FD3Hnv37i2vW7hw4YDza9asKc+vW7eu7n3a29vL69asWTPg/MKFC4dUJC5ZsqS8rqurq+51R4sCEFVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXMMlPA/lKYYbb7yxvKajo6PmNR0dHeU1S5curXnNnDlzVBSFTjnlFPX09NS8ZuXKleV91q9fP+D83r17y3cPz5s3r+6/a968eSqK370TuVbB98gjj5QfZ+XKlTXv0dPTo5NPPllFUejMM8+s+7GOBQUgqsKeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4hkt4HkoB2NXVpdGjR6soCrW2tg5YH729vWptbVVR/O4Xi+3atavmfexjwLV++caePXvK9/adfvrpdV8hYh8DrvWLSdavX1+ev/baa2veY//+/WppaVFRFJowYYL27Nkz4JqlS5eW91m7dm3N+xwrCkBUhT0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnENl/A81PcY33LLLeV1c+fO1bp167Rjxw6tW7dOc+fOLc8tX7687j0OHjyo888/v7z2yiuv1KZNm9TZ2alVq1Zp8uTJ5U/tNXov8ksvvaRJkyaVheOyZcu0detWbd26VcuWLVNTU5OKotCkSZMa/rfdsGFD+dOEU6ZM0apVq9TZ2alNmzb1++UobW1tOnjw4JD+ex4pCkBUhT0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnENl/A81AKwr69P1113XcP3Bl5//fXq6+tr+PG6u7t17rnn1r3HmDFjdP/99w/6eW/btk1Tp06te5+pU6dq27Ztg97nvvvuU3Nzc937nHfeeeru7h70PkeLAhBVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVzDJTwPtQA8bMOGDVqwYIGmTZum5uZmTZs2TQsWLGj4E3tvdeDAAd1zzz1qa2vTxIkTNXbsWLW0tGjRokV65plnhnyf7u5u3XrrrTr77LM1fvx4jR8/Xuecc45uvfVWvfLKK0O+z86dO7Vo0SK1tLRo7Nixmjhxotra2rR69eq6jyGHQgGIqrCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIl9TpoaAAAgAElEQVQCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIoQRWwD+7//+r9rb2/XZz35W73vf+3TaaadpwoQJ+oM/+ANNmjRJF154oe644w698sorQ7rfE088oU9+8pOaOXOmxowZoylTpujSSy/Vww8/fESf18MPP6xLLrlEU6ZM0ZgxYzRz5kx98pOf1JNPPjnke/T09OiOO+5Qa2urTj75ZI0bN06zZ8/WZz/7Wb344otDvs+LL76oz372s5o9e7bGjRunk08+Wa2trbrzzjvV09NzRP+uI0UBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhjNgC8Cc/+Um5wBsdp556qjZt2tTwXl/84hc1atSouvf40Ic+pDfeeKPhPXp7ezV//vy69xg1apT+9m//dtB/1+7du/XOd76z7n0mTJigxx57bND7/PCHP9SECRPq3mfWrFnavXv3oPc5WhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABHCiC4AZ8yYoWuuuUZ/93d/p+9+97vq6OjQE088oUceeUQf+9jHNHr0aBVFoebmZv3iF7+oeZ977723/EI57bTT9OCDD2r79u36/ve/r4suuqg8t3Dhwoafz1VXXVVee9FFF+n73/++tm/frgcffFCnnXZaeW7NmjV17/Haa69p1qxZ5bWLFi3S5s2b9eSTT+rLX/6yxo8fr6IoNG7cOD399NN17/PUU0/pbW97m4qi0Pjx4/XlL39ZTz75pDZv3qxFixb1KwFfe+21of0HP0IUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARwogtAA8ePDjoNd/73vfKL4KPfvSjA86/+uqrOvHEE1UUhWbOnKnu7u4BH+Oyyy4r7/Gzn/2s5sfZvHlzec1ll1024HPr7u7WzJkzVRSFTjrpJO3bt6/mfVasWFHe58477xxw/oknnlBTU5OKotCFF15Y9999wQUXqCgKNTU11Xz0+M477yw/zhe/+MW69zkWFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEcKILQCHavbs2eWjwG91xx13lF8k7e3tNf/+yy+/XP4k4fz582te88EPfrAs3Op9sbW3tzcs9/bv31+WkXPmzFFfX1/N+yxZsqS8z/bt2wec7+zsLM8vWbKk5j36+vo0Z86cspDcv39/zeuOBQVgnggyPjAnP5hVXLHCM+8xHtxIeY+xh/xChomHPR0W6wEWBSBCyL4AbG1tLR+Ffav3vve95Xv13nzzzbr3mDdvnoqi0JgxYwY8Mvvaa6+publZRVHoAx/4QN17vPnmm+U7+d773vcOOP+jH/2o/IL9yle+Uvc+HR0d5XXLly8fcH758uXl+W3bttW9z8qVK8vrfvSjH9W97mhRAOaJIOMDc/KDWcUVKzzzHuPGRtJ7jD3kFzJMPOzpsFgPsCgAEULWBeBzzz1XPjLb2tra79ybb75Z/mTfvHnzGt7n9ttvL7+YfvrTn/Y7Zx//XblyZcP7XHrppeVPCr71p+7s478dHR1173HgwAGNGzdORVHofe9734Dzhx//Pf7443XgwIG693nyySfLj/eFL3yh4ed9NCgA80SQ8YE5+cGs4opZAPIe49pG2nuMPeQXMkw87OmwWA+wKAARQnYFYE9Pj3bt2qWvf/3rmjJlSvlF8E//9E/9rtu5c2d57tOf/nTDe373u98tr/2Hf/iHfudWrVpVnvve977X8D5//dd/XV777//+7/3OXXnlleW53/zmNw3v8653vUtFUWjSpEkDzp166qkqikJ//Md/3PAe+/btKz/exz72sYbXHg0KwDwRZHxgTn4wq7hihWfeY3xh3X/3SHuPsYf8QoaJhz0dFusBFgUgQsiiAFy7dm3DR2huueUWHTp0qN/fefzxx8vzX/3qVxvef8eOHf3uZS1btqw8t2PHjob3+epXv1pe+9ZHet7znveUP7k3mA996EPlff7v//6v/PM33nij3yM/gzn++ONVFIX+7M/+bNBr3+rll19ueGzfvr38XHbt2qXe3t5jOvbt21duiG23/VDvWvHYsDuO9d84Eg47p3379iX/fDiYk/eDWcU9du3aNazCM+8xHsjbe4x7eykA8Xt2PfT2UvjkjvUA61jXAwUgpMwLwD/5kz+pGTAlaf369eV1q1evbnj///iP/yiv/cu//Mt+55YuXVqee/bZZxve55577imv/c53vtPv3JlnnqmiKDRlypRB/71//ud/Xt7HviD8v//7v8s///jHPz7ofSZPnqyiKHT22WcPeu1bNSpc33o88MAD5WbGwcHBwcExXI8HHnhgWIVn3mNcm6f3GFMAwqLwgcV6gEUBiBCyKAB/85vfaOfOndq5c6e2b9+u9vZ2ffSjH1VR/O6dOLVeOP2tb32r/AJ58MEHG97/+eefL6+9/vrr+5277rrrynPPP/98w/s8+OCD5bX/+I//2O9cS0uLiqLQjBkzBv33Xn311TW/uF966aXyz6+++upB7zNjxozyv9GRogDk4ODg4Bhpx3AqAHmP8ch4jzEFICwKH1isB1gUgAghiwKwnm9961s67rjjNGrUKK1du7bfOX4C8Nh+ApBHgHkEeLA58bji8D2Yk5+DWcU9Uj8CzHuMR957jHt7KQDxe3Y99PZS+OSO9QDrWNcDBSCkzAtA6fdl2fHHH69XX321/HPeAXhs7wAcDL8EJE8EGR+Ykx/MKq4U4Zn3GP/OSH2PsYdvYPJNzHgH39ThYD1wVLUeUn8TE8ND9gXgt7/97fIL4dvf/nb55yP1u+cTJ04ccd89lygAvbBz6u2lrBiumJMfzCqu4VQA8h7jxniPMQcHBwcHx++P4fQaE6STfQH44x//uPxCuP3228s/9/z+nMPf9c7l/TkSBaAXlBU+MCc/mFVcKQpA3mP8O7zHmIODg4OD4+gPCkBIFID9vrN+99139zvHb9Dz8Rv0JApALygrfGBOfjCruIbT+3N4j3FjXt5jzCPAHPXWA498crAeOEKuBx4BhkQBqPnz55dfCD/72c/6nbvjjjvKc+3t7TX//ssvv1z+pOD8+fNrXvPBD36w/Mm+el9s7e3t5ce68847B5x/8803deKJJ6ooCs2ZM2fA+34OW7JkSXmfWo8GdXZ2lueXLFlS8x59fX2aM2eOiqLQSSedNOCnEUOgAMyTnVNvL2XFcMWc/GBWcQ2nAlDiPcaNeHmPsYf8QoaJhz0dFusB1rGuh+GWYZDGiC0A165dqzfeeKPhNXfddVf5RfBHf/RHOnjwYL/zr776alm6veMd7+j3nWhJOnjwoC677LK6BeJh9jHgj3zkIwM+Tnd3t2bOnFkWbvv27at5H/sYcK2S8Mknn1RTU5OKotCFF15Y9999+DHgpqYmPfnkkwPO33nnneXH+eIXv1j3PseCAjBPBBkfmJMfzCqu4RaeeY9xbZ7eY+whv5Bh4mFPh8V6gEUBiBBGbAH4jne8Q6eccooWLVqkb37zm/rXf/1X/eIXv9DWrVt1zz336Pzzzy+/AJqbm/WTn/yk5n3uvffe8rrTTjtNDz30kHbs2KEf/OAHuuiii8pzCxcubPj5XHXVVeW1F110kX7wgx9ox44deuihh3TaaaeV59asWVP3Hq+99ppmzZpVXrt48WL99Kc/VUdHh26//XaNHz9eRVHobW97m55++um693nqqaf0tre9TUVRaPz48br99tvV0dGhn/70p1q8eHF5/1mzZg14pDkUCsA8EWR8YE5+MKu4hlt45j3GtXl6j7GH/EKGiYc9HRbrARYFIEIY0QXg4QXe6PjDP/xD/fjHP254ry984Qs67rjj6t5j/vz5g/60YW9vb7/Hjd96jBo1akg/bbd79269853vrHufCRMm1Hwh+Fv98Ic/LN85WOuYNWuWdu/ePeh9jhYFYJ4IMj4wJz+YVVzDLTzzHuPaPL3H2EN+IcPEw54Oi/UAiwIQIYzYAvC5557T17/+dV1xxRV617vepSlTpqipqUknnHCCTjvtNF155ZVau3atenp6hnS/J554Qp/4xCc0Y8YMNTc3a/Lkybrkkkv08MMPH9Hn9e1vf1uXXHKJJk+erObmZs2YMUOf+MQnaj6KW8/rr7+uO+64Q62trTrppJM0btw4zZ49W5/5zGf04osvDvk+L774oj7zmc9o1qxZGjdunE466SS1trbqjjvuGPJ/l6NFAZgngowPzMkPZhXXcAvPvMd4IG/vMfaQX8gw8bCnw2I9wKIARAgjtgDE8EYBmCeCjA/MyQ9mFVes8Mx7jC+s++8eae8x9pBfyDDxsKfDYj3AogBECBSASIICME8EGR+Ykx/MKq5Y4Zn3GOfzHmMP+YUMEw97OizWAywKQIRAAYgkKADzRJDxgTn5waziilkA8h7j+kbSe4w95BcyTDzs6bBYD7AoABECBSCSoADME0HGB+bkB7OKK1Z45j3Ggxsp7zH2kF/IMPGwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECGM6AJwx44d+n//7//pkksu0fTp09Xc3Kzjjz9e73znO/UXf/EX2rp16xHdb+PGjbr88svLe02fPl2XX365Nm7cOOR7HDhwQKtXr1ZbW5tOPfVUjR07Vi0tLVq8eLGeeeaZId+nu7tbK1as0DnnnKMTTjhBJ5xwgs455xytWLFCr7zyypDvs3PnTi1evFgtLS0aO3asTj31VLW1tWn16tU6cODAkO9zpCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACKEEVsAXnDBBeUCb3Rcc801evPNNxveq6+vT9dff33D+3zqU59SX19fw/t0d3fr3HPPrXuPMWPG6P777x/037Zt2zZNnTq17n3e/va3q7Ozc9D73HfffWpubq57n/POO0/d3d2D3udoUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgjtgA87bTTVBSFpk2bpk9/+tP6zne+o+3bt6ujo0N33XWXpk+fXn4BLFy4sOG9brnllvLauXPnqr29Xdu3b1d7e7vmzp1bnlu+fHndexw8eFBtbW3ltVdccYUef/xxdXZ26u6779bkyZNVFIVGjRrV8CcKX3rpJU2aNElFUaipqUk333yztmzZoi1btujmm29WU1OTiqLQ5MmTG35hb9iwQaNGjVJRFJoyZYruvvtudXZ26vHHH9cVV1xRfp5tbW06ePDg4P/BjxAFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEMGILwA996EN65JFH6pZX3d3dmjVrVvlF8C//8i81r+vq6ipLtdbW1gFfbD09PWptbS0Lud27d9e8z4MPPlh+rKVLlw44v3v3bk2YMEFFUej000+v+/jt1VdfXd5n/fr1A84/8sgj5flrr7225j3279+vlpYWFUWhCRMmaM+ePQOuWbp0aXmftWvX1rzPsaAAzBNBxgfm5AeziitmeOY1JoMbCa8x8ZBfyDDxsKfDYj3AogBECCO2AByKxx57rPwi+Ku/+qua19x4443lNR0dHTWv6ejoaFjuSdKcOXNUFIVOOeUU9fT01Lxm5cqVDcu9vXv3lj+1N2/evLr/rnnz5pU/Tbh3794B521JuHLlypr36Onp0cknn6yiKHTmmWfW/VhHiwIwTwQZH5iTH8wqrljhmdeY5PMaEw/5hQwTD3s6LNYDLApAhJB1Afj666+XXwTz588fcP7QoUOaNm2aiqLQGWec0fBes2fPVlEUmj59ug4dOtTvXFdXV/lxbrjhhrr32Lt3b8PHktesWVOeX7duXd37tLe3l9etWbNmwPmFCxeW52sVhIctWbKkvK6rq6vudUeDAjBPBBkfmJMfzCquWOGZ15jk8xoTD/mFDBMPezos1gMsCkCEkHUB+Oqrr5ZfBJdddtmA888//3x5fsmSJQ3vtXjx4vLaF154od85+/hve3t7w/scfix55syZA87Zx38bFXe/+tWv+v10wFvNmDFDRVFo9uzZDT+Xhx9+uLzPQw891PDaI0UBmCeCjA/MyQ9mFVes8MxrTPJ5jYmH/EKGiYc9HRbrARYFIELIugD87ne/W34R3HzzzQPO20eEv/GNbzS811133VVeu2HDhn7nPve5z5Xnnn766Yb3+chHPqKiKHTcccfp9ddf73fu3e9+t4qi0Iknnjjov+1wED/33HP7/flvf/vb8nNZsGBBw3s89dRT5bWf//znB/2YR4ICME8EGR+Ykx/MKq7hFJ55jcnIeI2Jh/xChomHPR0W6wEWBSBCyLYA7Ovr03nnnVd+Efz85z8fcM3q1avL848++mjD+z366KPltffee2+/cx//+MfLc4O9j+amm24qr33uuef6nZsyZYqKotBZZ5016L/vrLPOUlEUmjp1ar8/f/bZZ8v733TTTQ3v0d3dXV571VVXDfoxrZdffrnhsX379vLeu3btUm9v7zEd+/btKzfEttt+qHeteGzYHcf6bxwJh53Tvn37kj7TmyUAACAASURBVH8+HMzJ+8Gs4h67du0aNuGZ15iMjNeY9PZSAOL37Hro7aXwyR3rAdaxrgcKQEgZF4Bf+9rX+r3LppY777yzvObxxx9veL+NGzeW137ta1/rd27+/PnluTfeeKPhfW6++ea6peS4ceNUFIXe8573DPrvO1xujh8/vt+f2+Jt2bJlDe/R29tbXvvhD3940I9pHf57QzkeeOCBcjPj4ODg4OAYrscDDzwwbMIzrzEZGa8xoQCEReEDi/UAiwIQIWRZAP7zP/9zvxdN//rXv6553W233VZ+kWzevLnhPTdv3lxe+6UvfanfuYsvvrg8N9hv2VuxYkV57datW/udO/zozAUXXDDov/HwbxAcPXp0vz/fsmVLef8VK1Y0vEdfX1957fvf//5BP6ZFAcjBwcHBMdKO4VQA8hqTkfEaEwpAWBQ+sFgPsCgAEUJ2BeAzzzxTvhdm7NixdV+cLfETgMfyE4A8AswjwIPNiccVh+/BnPwczCruMVweAeY1JiPnNSYe8gsZJt7Bns7BeuCoaj0MlwyDtLIqAF944YXyfTijR4/W97///YbXE56PPjwPhl8Ckic7p95evpM5XDEnP5hVXMPlu+e8xoTXmHBwcHBwcBzJMZyeYkA62RSA//mf/6mWlpby0ZRvfvObg/6dkfj4zGuvvTbiHp+RKAC9oKzwgTn5waziGg4FIK8x4TUmHBwcHBwcR3pQAELKpADs7u7WmWeeWS74v//7vx/S3+MF2j5eoC1RAHpBWeEDc/KDWcWVugDkNSYj7zUmPALMUW898MgnB+uBI+R64BFgSBkUgP/zP/+jP/3TPy0X+1e+8pUh/91Dhw6VjwyfccYZDa8944wzVBSFpk+frkOHDvU719XVVX78G264oe499u7dW163cOHCAefXrFlTnl+3bl3d+7S3t5fXrVmzZsD5hQsXDqlIXLJkSXldV1dX3euOBgVgnuycenspK4Yr5uQHs4orZQHIa0xG5mtMPOQXMkw87OmwWA+wjnU9pP4mJoaHEV0A9vT06Pzzzy8X+t/8zd8c8T1uvPHG8u93dHTUvKajo6O8ZunSpTWvmTNnjoqi0CmnnKKenp6a16xcubK8z/r16wec37t3b/kIzbx58+p+zvPmzVNRFBo1alTNgu+RRx4pP87KlStr3qOnp6f8KYMzzzyz7sc6WhSAeSLI+MCc/GBWcaUKz7zG5HdG4mtMPOQXMkw87OmwWA+wKAARwogtAN98801deuml5SL/9Kc/fVT36erq0ujRo1UUhVpbWwd8sfX29qq1tVVFUaipqUm7du2qeR/7GHCt71rv2bOnDLynn366Dhw4UPM+9jHgWt/RX79+fXn+2muvrXmP/fv3l/9HYsKECdqzZ8+Aa5YuXVreZ+3atTXvcywoAPNEkPGBOfnBrOJKEZ55jUl/I+01Jh7yCxkmHvZ0WKwHWBSACGHEFoBXXHFFucAvvvhi/du//Zt27txZ92j0iOstt9xS3mvu3Llat26dduzYoXXr1mnu3LnlueXLl9e9x8GDB/v9NOKVV16pTZs2qbOzU6tWrdLkyZPLn9rbuHFj3fu89NJLmjRpUlk4Llu2TFu3btXWrVu1bNmy8sXgkyZNaviFvWHDhvKnCadMmaJVq1aps7NTmzZt0pVXXll+nm1tbTp48ODQ/qMfAQrAPBFkfGBOfjCruGKHZ15jMvJfY+Ihv5Bh4mFPh8V6gEUBiBBGbAF4eHEP9XjHO95R9159fX267rrrGv7966+/ftDfjtfd3a1zzz237j3GjBmj+++/f9B/27Zt2zR16tS695k6daq2bds26H3uu+8+NTc3173PeeedN+j7fo4WBWCeCDI+MCc/mFVcMcMzrzHJ4zUmHvILGSYe9nRYrAdYFIAIgQJwCAXgYRs2bNCCBQs0bdo0NTc3a9q0aVqwYEHDn9h7qwMHDuiee+5RW1ubJk6cqLFjx6qlpUWLFi3SM888M+T7dHd369Zbb9XZZ5+t8ePHa/z48TrnnHN066236pVXXhnyfXbu3KlFixappaVFY8eO1cSJE9XW1qbVq1fXfQw5BArAPBFkfGBOfjCruGKFZ15jks9rTDzkFzJMPOzpsFgPsCgAEcKILQAxvFEA5okg4wNz8oNZxRUrPPMak3xeY+Ihv5Bh4mFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVcscIzrzHJ5zUmHvILGSYe9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxeWxADyM15iEQwGIqrCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQIFIBIggIwTwQZH5iTH8wqLsIzJApAVIc9HRbrARYFIEKgAEQSFIB5Isj4wJz8YFZxEZ4hUQCiOuzpsFgPsCgAEQIFIJKgAMwTQcYH5uQHs4qL8AyJAhDVYU+HxXqARQGIECgAkQQFYJ4IMj4wJz+YVVyEZ0gUgKgOezos1gMsCkCEQAGIJCgA80SQ8YE5+cGs4iI8Q6IARHXY02GxHmBRACIECkAkQQGYJ4KMD8zJD2YVF+EZEgUgqsOeDov1AIsCECFQACIJCsA8EWR8YE5+MKu4CM+QKABRHfZ0WKwHWBSACIECEElQAOaJIOMDc/KDWcVFeIZEAYjqsKfDYj3AogBECBSASIICME8EGR+Ykx/MKi7CMyQKQFSHPR0W6wEWBSBCoABEEhSAeSLI+MCc/GBWcRGeIVEAojrs6bBYD7AoABECBSCSoADME0HGB+bkB7OKi/AMiQIQ1WFPh8V6gEUBiBAoAJEEBWCeCDI+MCc/mFVchGdIFICoDns6LNYDLApAhEABiCQoAPNEkPGBOfnBrOIiPEOiAER12NNhsR5gUQAiBApAJEEBmCeCjA/MyQ9mFRfhGRIFIKrDng6L9QCLAhAhUAAiCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAiBAhBJUADmiSDjA3Pyg1nFRXiGRAGI6rCnw2I9wKIARAgUgEiCAjBPBBkfmJMfzCouwjMkCkBUhz0dFusBFgUgQqAARBIUgHkiyPjAnPxgVnERniFRAKI67OmwWA+wKAARAgUgkqAAzBNBxgfm5AeziovwDIkCENVhT4fFeoBFAYgQKACRBAVgnggyPjAnP5hVXIRnSBSAqA57OizWAywKQIRAAYgkKADzRJDxgTn5waziIjxDogBEddjTYbEeYFEAIgQKQCRBAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIVAAIgkKwDwRZHxgTn4wq7gIz5AoAFEd9nRYrAdYFIAIgQIQSVAA5okg4wNz8oNZxUV4hkQBiOqwp8NiPcCiAEQII7oA/PWvf63HHntMK1as0Ac+8AFNnDixXPTXXnvtEd9v48aNuvzyyzV9+nQ1Nzdr+vTpuvzyy7Vx48Yh3+PAgQNavXq12tradOqpp2rs2LFqaWnR4sWL9cwzzwz5Pt3d3VqxYoXOOeccnXDCCTrhhBN0zjnnaMWKFXrllVeGfJ+dO3dq8eLFamlp0dixY3Xqqaeqra1Nq1ev1oEDB4Z8nyNFAZgngowPzMkPZhUX4RkSBSCqw54Oi/UAiwIQIYzoAvDwAq91HEkB2NfXp+uvv77h/T71qU+pr6+v4X26u7t17rnn1r3HmDFjdP/99w/6+Wzbtk1Tp06te5+3v/3t6uzsHPQ+9913n5qbm+ve57zzzlN3d/eQ/zsdCQrAPBFkfGBOfjCruAjPkCgAUR32dFisB1gUgAghmwJw5syZuvTSS4+qALzlllvKvzd37ly1t7dr+/btam9v19y5c8tzy5cvr3uPgwcPqq2trbz2iiuu0OOPP67Ozk7dfffdmjx5soqi0KhRoxr+ROFLL72kSZMmqSgKNTU16eabb9aWLVu0ZcsW3XzzzWpqalJRFJo8eXLDL+wNGzZo1KhRKopCU6ZM0d13363Ozk49/vjjuuKKK8rPs62tTQcPHhzyf6uhogDME0HGB+bkB7OKK2Z45imGwY2Epxg85BcyTDzs6bBYD7AoABHCiC4Av/CFL+ixxx7Tf/3Xf0mSfvnLXx5xeO7q6ipLtdbW1gFfbD09PWptbS0Lud27d9e8z4MPPlh+7KVLlw44v3v3bk2YMEFFUej000+vG1yvvvrq8j7r168fcP6RRx4Z9N+4f/9+tbS0qCgKTZgwQXv27BlwzdKlS8v7rF27tuZ9jgUFYJ4IMj4wJz+YVVwxwzNPMTQ2Up5i8JBfyDDxsKfDYj3AogBECCO6AHyroykAb7zxxvLvdHR01Lymo6OjYbknSXPmzFFRFDrllFPU09NT85qVK1c2LPf27t1b/tTevHnz6n7O8+bNK3+acO/evQPO25Jw5cqVNe/R09Ojk08+WUVR6Mwzz6z7sY4WBWCeCDI+MCc/mFVcqQpAnmLobyQ9xeAhv5Bh4mFPh8V6gEUBiBAoABs4dOiQpk2bpqIodMYZZzS8dvbs2SqKQtOnT9ehQ4f6nevq6io/7g033FD3Hnv37i2vW7hw4YDza9asKc+vW7eu7n3a29vL69asWTPg/MKFC8vztQrCw5YsWVJe19XVVfe6o0EBmCeCjA/MyQ9mFVfM8MxTDLX/jSPtKQYP+YUMEw97OizWAywKQIRAAdjA888/X16/ZMmShtcuXry4vPaFF17od84G5/b29ob3mTVrVvnd/reywblRcferX/2qvO6aa64ZcH7GjBkqikKzZ89u+Lk8/PDD5X0eeuihhtceKQrAPBFkfGBOfjCruFKGZ55i+J2R9hSDh/xChomHPR0W6wEWBSBCoABs4LHHHiuv/8Y3vtHw2rvuuqu8dsOGDf3Ofe5znyvPPf300w3v85GPfERFUei4447T66+/3u/cu9/9bhVFoRNPPHHQz/3wd+LPPffcfn/+29/+tvxcFixY0PAeTz31VHnt5z//+UE/5pGgAMwTQcYH5uQHs4rLUwHIUww+nmLwkF/IMPGwp8NiPcCiAEQIFIANrF69urz+0UcfbXjto48+Wl5777339jv38Y9/vDw32Aupb7rppvLa5557rt+5KVOmqCgKnXXWWYN+7meddZaKotDUqVP7/fmzzz5b3v+mm25qeI/u7u7y2quuumrQj2m9/PLLDY/t27eX9961a5d6e3uP6di3b1+5Ibbd9kO9a8Vjw+441n/jSDjsnPbt25f88+FgTt4PZhX32LVrl5sCkKcYfDzF0NtLAYjfs+uht5fCJ3esB1jHuh4oACFRADZ05513ltc//vjjDa/duHFjee3Xvva1fufmz59fnnvjjTca3ufmm28ur/35z3/e79y4ceNUFIXe8573DPq5n3feeSqKQuPHj+/357Z4W7ZsWcN79Pb2ltd++MMfHvRjWof/3lCOBx54oNzMODg4ODg4huvxwAMPuCkAeYrBx1MMFICwKHxgsR5gUQAiBArABm677bby+s2bNze8dvPmzeW1X/rSl/qdu/jii8tzfX19De+zYsWK8tqtW7f2O3f43TkXXHDBoJ/7BRdcoKIoNHr06H5/vmXLlvL+K1asaHiPvr6+8tr3v//9g35MiwKQg4ODg2OkHZ4KQJ5i8PEUg4cnGHiKId7BT3VzsB44qloPKZ9iwPBBAdgAPwF49D8ByCPAhOcq/oeLgzlxMKuUh6dHgMkwPMXAwcHBwcFx+Ej5TUwMHxSADfDd86P/7vlg+CUgebJz6u3lUYbhijn5wazi8vRLQHiKgacYODg4ODg4Dh8UgJAoABsaie/Pee2118rPZaS8P0eiAPSCssIH5uQHs4rLUwHITwD6eIrBwxMMPMUQ7+CnujlYDxxVrQceAYZEAdgQv0HPx2/QkygAvbBz6u2lrBiumJMfzCouTwUgTzH4eIrBQ34hw8TDng6L9QDrWNcDvwQEEgVgQ4cOHdK0adNUFIXOOOOMhteeccYZKopC06dP16FDh/qd6+rqKj/uDTfcUPcee/fuLa9buHDhgPNr1qwpz69bt67ufdrb28vr1qxZM+D8woULh1QkLlmypLyuq6ur7nVHgwIwTwQZH5iTH8wqLk8FIE8x+HiKwUN+IcPEw54Oi/UAiwIQIVAADuLGG28s/05HR0fNazo6Osprli5dWvOaOXPmqCgKnXLKKerp6al5zcqVK8v7rF+/fsD5vXv3lu/QmTdvXt3Ped68eSqKQqNGjapZ8D3yyCPlx1m5cmXNe/T09Ojkk09WURQ688wz636so0UBmCeCjA/MyQ9mFZenApCnGHw8xeAhv5Bh4mFPh8V6gEUBiBAoAAfR1dWl0aNHqygKtba2Dvhi6+3tVWtrq4qiUFNTk3bt2lXzPjZA13psZc+ePeV3vE8//XQdOHCg5n1sgK71SM/69esH/Tfu379fLS0tKopCEyZM0J49ewZcs3Tp0vI+a9eurXmfY0EBmCeCjA/MyQ9mFZenApCnGHw8xeAhv5Bh4mFPh8V6gEUBiBBGdAG4detWrV27tjy++tWvlov+/PPP73euUcl1yy23lH9v7ty5WrdunXbs2KF169Zp7ty55bnly5fXvcfBgwd1/vnnl9deeeWV2rRpkzo7O7Vq1SpNnjy5/Km9jRs31r3PSy+9pEmTJpWF47Jly7R161Zt3bpVy5YtU1NTk4qi0KRJkxp+YW/YsKH8acIpU6Zo1apV6uz8/+3de4wd5Xk/8AFc29iOMRgwNcWodrCBQFJaQ4JigkjFJVBCAqJAIqCCGhLSNoKoXFQuvSgQO5eq0HINWGkLBhIlBItbEKSB4stS0aimDWACCNTQZIG0bgz1jef3h7Xze5fdc3bXnjNn3zOfjzR/hBnPmZ3nPe88+c45c9bEww8/HKeddlp5nIsWLYotW7aM6nyPhQCwmTQyeVCnfKhVvXIKACN8iyGHbzHk0L/oYepjTidlPJASAFKFng4Azz333HKQj2ZpZevWrXHeeee1/bfnn39+bN26te3x9Pf3x+GHH95yH5MmTYrbbrttxL9r9erVsc8++7Tczz777BOrV68ecT+33nprTJw4seV+jjjiiBEf+L29BIDNpJHJgzrlQ63qlVsA6FsM4/9bDDn0L3qY+pjTSRkPpASAVEEAOIoAcMADDzwQp5xySsyePTsmTpwYs2fPjlNOOaXtJ/bea/PmzXHjjTfGokWLYubMmTF58uSYO3duLF68OJ599tlR76e/vz+uvPLKOOSQQ2LatGkxbdq0OPTQQ+PKK6+MN954Y9T7Wbt2bSxevDjmzp0bkydPjpkzZ8aiRYvipptuatnAV0EA2EwamTyoUz7Uql51Ns++xdCMbzHk0L/oYepjTidlPJASAFKFng4AGb8EgM2kkcmDOuVDrepVZ/PsWwzt9cq3GHLoX/Qw9TGnkzIeSAkAqYIAkK4QADaTRiYP6pQPtapXjgHgAN9iqI4AkE4xp5MyHkgJAKmCAJCuEAA2k0YmD+qUD7Wql+aZCAEgnWNOJ2U8kBIAUgUBIF0hAGwmjUwe1CkfalUvzTMRAkA6x5xOynggPKNaAAAAIABJREFUJQCkCgJAukIA2EwamTyoUz7Uql6aZyIEgHSOOZ2U8UBKAEgVBIB0hQCwmTQyeVCnfKhVvTTPRAgA6RxzOinjgZQAkCoIAOkKAWAzaWTyoE75UKt6aZ6JEADSOeZ0UsYDKQEgVRAA0hUCwGbSyORBnfKhVvXSPBMhAKRzzOmkjAdSAkCqIACkKwSAzaSRyYM65UOt6qV5JkIASOeY00kZD6QEgFRBAEhXCACbSSOTB3XKh1rVS/NMhACQzjGnkzIeSAkAqYIAkK4QADaTRiYP6pQPtaqX5pkIASCdY04nZTyQEgBSBQEgXSEAbCaNTB7UKR9qVS/NMxECQDrHnE7KeCAlAKQKAkC6QgDYTBqZPKhTPtSqXppnIgSAdI45nZTxQEoASBUEgHSFALCZNDJ5UKd8qFW9NM9ECADpHHM6KeOBlACQKggA6QoBYDNpZPKgTvlQq3ppnokQANI55nRSxgMpASBVEADSFQLAZtLI5EGd8qFW9dI8EyEApHPM6aSMB1ICQKogAKQrBIDNpJHJgzrlQ63qpXkmQgBI55jTSRkPpASAVEEASFcIAJtJI5MHdcqHWtVL80yEAJDOMaeTMh5ICQCpggCQrhAANpNGJg/qlA+1qpfmmQgBIJ1jTidlPJASAFIFASBdIQBsJo1MHtQpH2pVL80zEQJAOsecTsp4ICUApAoCQLpCANhMGpk8qFM+1KpemmciBIB0jjmdlPFASgBIFQSAdIUAsJk0MnlQp3yoVb00z0QIAOkcczop44GUAJAqCADpCgFgM2lk8qBO+VCremmeiRAA0jnmdFLGAykBIFUQANIVAsBm0sjkQZ3yoVb10jwTIQCkc8zppIwHUgJAqiAApCsEgM2kkcmDOuVDreqleSZCAEjnmNNJGQ+kBIBUQQBIVwgAm0kjkwd1yoda1UvzTIQAkM4xp5MyHkgJAKmCAJCuEAA2k0YmD+qUD7Wql+aZCAEgnWNOJ2U8kBIAUgUBIF0hAGwmjUwe1CkfalUvzTMRAkA6x5xOynggJQCkCgJAukIA2EwamTyoUz7Uql6aZyIEgHSOOZ2U8UBKAEgVBIB0hQCwmTQyeVCnfKhVvTTPRAgA6RxzOinjgZQAkCoIAOkKAWAzaWTyoE75UKt6aZ6JEADSOeZ0UsYDKQEgVRAA0hUCwGbSyORBnfKhVvXSPBMhAKRzzOmkjAdSAkCqIACkKwSAzaSRyYM65UOt6qV5JkIASOeY00kZD6QEgFRBAEhXCACbSSOTB3XKh1rVS/NMhACQzjGnkzIeSAkAqYIAkK4QADaTRiYP6pQPtaqX5pkIASCdY04nZTyQEgBSBQEgXSEAbCaNTB7UKR9qVS/NMxECQDrHnE7KeCAlAKQKAkC6QgDYTBqZPKhTPtSqXppnIgSAdI45nZTxQEoASBUEgHSFALCZNDJ5UKd8qFW9NM9ECADpHHM6KeOBlACQKggA6QoBYDNpZPKgTvlQq3ppnokQANI55nRSxgMpASBVEADSFQLAZtLI5EGd8qFW9dI8EyEApHPM6aSMB1ICQKogAKQrBIDNpJHJgzrlQ63qpXkmQgBI55jTSRkPpASAVEEASFcIAJtJI5MHdcqHWtVL80yEAJDOMaeTMh5ICQCpggCQrhAANpNGJg/qlA+1qpfmmQgBIJ1jTidlPJASAFIFASBdIQBsJo1MHtQpH2pVL80zEQJAOsecTsp4ICUApAoCQLpCANhMGpk8qFM+1KpemmciBIB0jjmdlPFASgBIFQSAdIUAsJk0MnlQp3yoVb00z0QIAOkcczop44GUAJAqCADpCgFgM2lk8qBO+VCremmeiRAA0jnmdFLGAykBIFUQANIVAsBm0sjkQZ3yoVb10jwTIQCkc8zppIwHUgJAqiAApCsEgM2kkcmDOuVDreqleSZCAEjnmNNJGQ+kBIBUQQBIVwgAm0kjkwd1yoda1UvzTIQAkM4xp5MyHkgJAKmCAJCuEAA2k0YmD+qUD7Wql+aZCAEgnWNOJ2U8kBIAUgUBIF0hAGwmjUwe1CkfalUvzTMRAkA6x5xOynggJQCkCgJAukIA2EwamTyoUz7Uql6aZyIEgHSOOZ2U8UBKAEgVBIB0hQCwmTQyeVCnfKhVvTTPRAgA6RxzOinjgZQAkCoIAOkKAWAzaWTyoE75UKt6aZ6JEADSOeZ0UsYDKQEgVRAA0hUCwGbSyORBnfKhVvXSPBMhAKRzzOmkjAdSAkCqIACkKwSAzaSRyYM65UOt6qV5JkIASOeY00kZD6QEgFRBAEhXCACbSSOTB3XKh1rVS/NMhACQzjGnkzIeSAkAqYIAkK4QADaTRiYP6pQPtaqX5pkIASCdY04nZTyQEgBSBQEgXSEAbCaNTB7UKR9qVS/NMxECQDrHnE7KeCAlAKQKAkC6QgDYTBqZPKhTPtSqXppnIgSAdI45nZTxQEoASBUEgHSFALCZNDJ5UKd8qFW9NM9ECADpHHM6KeOBlACQKggA6QoBYDNpZPKgTvlQq3ppnokQANI55nRSxgMpASBVEADSFQLAZtLI5EGd8qFW9dI8EyEApHPM6aSMB1ICQKogAKQrBIDNpJHJgzrlQ63qpXkmQgBI55jTSRkPpASAVEEASFcIAJtJI5MHdcqHWtVL80yEAJDOMaeTMh5ICQCpggCQrhAANpNGJg/qlA+1qpfmmQgBIJ1jTidlPJASAFIFASBdIQBsJo1MHtQpH2pVL80zEQJAOsecTsp4ICUApAoCQLpCANhMGpk8qFM+1KpemmciBIB0jjmdlPFASgBIFQSAdIUAsJk0MnlQp3yoVb00z0QIAOkcczop44GUAJAqCADpCgFgM2lk8qBO+VCremmeiRAA0jnmdFLGAykBIFUQANIVAsBm0sjkQZ3yoVb10jwTIQCkc8zppIwHUgJAqiAApCsEgM2kkcmDOuVDreqleSZCAEjnmNNJGQ+kBIBUQQBIVwgAm0kjkwd1yoda1UvzTIQAkM4xp5MyHkgJAKmCAJCuEAA2k0YmD+qUD7Wql+aZCAEgnWNOJ2U8kBIAUgUBIF0hAGwmjUwe1CkfalUvzTMRAkA6x5xOynggJQCkCgJAukIA2EwamTyoUz7Uql6aZyIEgHSOOZ2U8UBKAEgVBIB0hQCwmTQyeVCnfKhVvTTPRAgA6RxzOinjgZQAkCoIAOkKAWAzaWTyoE75UKt6aZ6JEADSOeZ0UsYDKQEgVRAA0hUCwGbSyORBnfKhVvXSPBMhAKRzzOmkjAdSAkCqIACkKwSAzaSRyYM65UOt6qV5JkIASOeY00kZD6QEgFRBAEhXCACbSSOTB3XKh1rVS/NMhACQzjGnkzIeSAkAqYIAkK4QADaTRiYP6pQPtaqX5pkIASCdY04nZTyQEgBSBQEgXSEAbCaNTB7UKR9qVS/NMxECQDrHnE7KeCAlAKQKAkC6QgDYTBqZPKhTPtSqXppnIgSAdI45nZTxQEoASBUEgHSFALCZNDJ5UKd8qFW9NM9ECADpHHM6KeOBlACQKggA6QoBYDNpZPKgTvlQq3ppnokQANI55nRSxgMpASBVEADSFQLAZtLI5EGd8qFW9dI8EyEApHPM6aSMB1ICQKogAKQrBIDNpJHJgzrlQ63qpXkmQgBI55jTSRkPpASAVEEASFcIAJtJI5MHdcqHWtVL80yEAJDOMaeTMh5ICQCpggCQrhAANpNGJg/qlA+1qpfmmQgBIJ1jTidlPJASAFIFASBdIQBsJo1MHtQpH2pVL80zEQJAOsecTsp4ICUApAoCQLpCANhMGpk8qFM+1KpemmciBIB0jjmdlPFASgBIFQSAdIUAsJk0MnlQp3yoVb00z0QIAOkcczop44GUAJAqCADpCgFgM2lk8qBO+VCremmeiRAA0jnmdFLGAykBIFUQANIVAsBm0sjkQZ3yoVb10jwTIQCkc8zppIwHUgJAqiAApCsEgM2kkcmDOuVDreqleSZCAEjnmNNJGQ+kBIBUQQBIVwgAm0kjkwd1yoda1UvzTIQAkM4xp5MyHkgJAKmCAJCuEAA2k0YmD+qUD7Wql+aZCAEgnWNOJ2U8kBIAUgUBIF0hAGwmjUwe1CkfalUvzTMRAkA6x5xOynggJQCkCgJAukIA2EwamTyoUz7Uql6aZyIEgHSOOZ2U8UBKAEgVBIB0hQCwmTQyeVCnfKhVvTTPRAgA6RxzOinjgZQAkCoIAOkKAWAzaWTyoE75UKt6aZ6JEADSOeZ0UsYDKQEgVRAA0hUCwGbSyORBnfKhVvXSPBMhAKRzzOmkjAdSAkCqIACkKwSAzaSRyYM65UOt6qV5JkIASOeY00kZD6QEgFRBAEhXCACbSSOTB3XKh1rVS/NMhACQzjGnkzIeSAkAqYIAkK4QADaTRiYP6pQPtaqX5pkIASCdY04nZTyQEgBSBQEg8corr8Qll1wSCxYsiClTpsTuu+8eCxcujKVLl8aGDRs68poCwGbSyORBnfKhVvXSPI8v3ehfIgSAdI45nZTxQEoASBUEgA13//33x/Tp08vJ4L3L/PnzY926dZW/rgCwmTQyeVCnfKhVvTTP40e3+pcIASCdY04nZTyQEgBSBQFggz3zzDOx6667RlEUMW3atPjyl78cK1eujMceeywWL148qIlev359pa8tAGwmjUwe1CkfalUvzfP40M3+JUIASOeY00kZD6QEgFRBANhgRx11VBRFERMmTIiVK1cOWb906dJykrjmmmsqfW0BYDNpZPKgTvlQq3ppnseHbvYvEQJAOsecTsp4ICUApAoCwIZas2ZNOQFceOGFw26zdevWOOigg6IoipgxY0Zs2rSpstdvYgA4npe6aGTyoE75UKt6aZ67r9v9S4QAkM4xp5MyHkgJAKmCALChrrjiinICWL16dcvtrrvuunK7Rx55pLLXFwCOr6UuGpk8qFM+1Kpemufu63b/EiEApHPM6aSMB1ICQKogAGyoga/PTJ06NTZv3txyu5UrV5YTxdVXX13Z6wsAx9dSF41MHuqoU7fH/Hh4P1TBe6pemufu63b/EiEApHPM6aSMB1ICQKogAGyoPffcM4qiiA996ENtt3vrrbfKieL000+v7PUFgONrqYtGJg8CwHx4T9VL89x93e5fIpoZAI7npZeY00kZD6QEgFRBANhA77zzTvnmP+mkk0bcfurUqVEURXzkIx8Z9Wu89tprbZf0zvwTTzwRL7zwwg4ta9eujW9+85vxzW9+Mw7/0h1x4BeXWcaw7Oj53546rV27trbXtYy/OnV7zI+H90MutbL8/+WJJ54or10vv/zyDlyJ2R519C8R9fYw+pdmzdljGQ/mdIvxYKlyPOhhiBAANtIvfvGL8s1/xhlnjLj93nvvHUVRxCGHHDLq1xjYv8VisVgsvbj09fXtyKWY7VBH/xKhh7FYLBZLby96mOYSADbQq6++Wr75zz777BG332+//aIoipg3b96oX6Pbk5rFYrFYLJ1cNM/1q6N/idDDWCwWi6W3Fz1McwkAG6iOO+gjfX1m3bp1sWLFiujr64uXX355xO1HWvr6+gZNaDu6P0tnFnXKY1GnfBa1qnd5+eWXo6+vL/r6+uKdd97ZkUsx26GuTwCONA6q7GG8hy3Gg8V4sNQxHvQwRAgAG6muZ+jU6bXXPNQ0B+qUB3XKh1rRJPoXep3xQMp4IGU8UAUBYEPNnDkziqK7v6JXJRNiHtQpD+qUD7WiafQv9DLjgZTxQMp4oAoCwIY66qijoiiKmDp1amzevLnldukv3V199dU1HuHYmBDzoE55UKd8qBVNo3+hlxkPpIwHUsYDVRAANtQVV1xRTiCrV69uud11111XbvfII4/UeIRjY0LMgzrlQZ3yoVY0jf6FXmY8kDIeSBkPVEEA2FBr1qwpJ5ALL7xw2G22bt0aBx10UBRFETNmzIhNmzbVfJSjZ0LMgzrlQZ3yoVY0jf6FXmY8kDIeSBkPVEEA2GADX6OZMGFCrFy5csj6pUuXlpPMNddcU/8BjoEJMQ/qlAd1yoda0UT6F3qV8UDKeCBlPFAFAWCDPfPMM7HrrrtGURQxbdq0uPbaa2PVqlXx+OOPxwUXXFBOMPPnz4/169d3+3DbMiHmQZ3yoE75UCuaSP9CrzIeSBkPpIwHqiAAbLj7778/pk+fXk4m713mz58f69at6/ZhjsiEmAd1yoM65UOtaCr9C73IeCBlPJAyHqiCAJB45ZVX4uKLL4758+fHlClTYsaMGbFw4cJYsmRJbNiwoduHBwAwhP4FAGD0BIAAAAAA0MMEgAAAAADQwwSAAAAAANDDBIAAAAAA0MMEgAAAAADQwwSAAAAAANDDBIAAAAAA0MMEgAAAAADQwwSAAAAAANDDBIAAAAAA0MMEgGTvlVdeiUsuuSQWLFgQU6ZMid133z0WLlwYS5cujQ0bNnT78Gr385//PFasWBFXXXVVnHDCCTFz5swoiiKKoohzzz13zPt78MEH41Of+lTsu+++MXHixNh3333jU5/6VDz44IOj3sfmzZvjpptuikWLFsWee+4ZkydPjrlz58YFF1wQzz777Kj309/fH1dddVUceuih8b73vS/e9773xaGHHhpXXXVVvPHGG6Pez9q1a+OCCy6IuXPnxuTJk2PPPfeMRYsWxU033RSbN28e9X52xNNPPx1/8Rd/Eccee2x5bqdOnRoHHHBA/MEf/EE8+eSTY9qfOlXvf/7nf2L58uVxySWXxMc+9rGYN29eTJ8+PX7t134t9tprrzj66KNjyZIlo/6bnnrqqfjsZz8bc+bMiUmTJsWsWbPiuOOOi7vuumtMx3XXXXfFscceG7NmzYpJkybFnDlz4rOf/WysXLly1PvYsGFDLFmyJBYuXBi77757TJkyJRYsWBCXXHJJvPLKK6Pej/kXtp/3z9job0ZW1XVzPJ2bVvRRI2vKeNCvjayq6814OjdsHwEgWbv//vtj+vTpZQP43mX+/Pmxbt26bh9mrVqdi7E2yFu3bo3zzz+/7f7+8A//MLZu3dp2P/39/XH44Ye33MekSZPitttuG/F4Vq9eHfvss0/L/fz6r/96rFmzZsT93HrrrTFx4sSW+zniiCOiv79/1Odpexx11FFtz+vAcs4558TGjRvb7kudOufRRx8dVZ323HPPePjhh9vu65prromdd9655T5OOumkeOedd9ru4+23344TTzyx5T523nnn+PM///MR/65169bFAQcc0HI/06dPjxUrVoy4H/MvbD/vn7HT37RXxXVzvJ2bVvRRxkNKv9ZeVdeb8XRu2H4CQLL1zDPPxK677hpFUcS0adPiy1/+cqxcuTIee+yxWLx48aBJbf369d0+3Nqkk+icOXPiuOOOK//3WBrkyy+/vPx3hx12WCxfvjz6+vpi+fLlcdhhh5Xrrrjiipb72LJlSyxatKjc9tRTT42HHnoo1qxZE9dff33svffe5WTf7i7iq6++GnvttVcURRETJkyISy+9NJ544ol44okn4tJLL40JEyZEURSx9957x2uvvdZyPw888EB54Zo1a1Zcf/31sWbNmnjooYfi1FNPLY9z0aJFsWXLllGfq7GaN29eFEURs2fPji9+8Yvxne98J/r6+mLVqlXxjW98I/bdd9/yWM4666y2+1KnztXp0Ucfjf322y/OOeec+Ju/+Zv47ne/G6tWrYqnnnoq7rnnnjj99NNjl112iaIoYuLEifHjH/942P3cfPPN5THPmzcvbr/99ujr64v77rsvjjnmmFHX+swzzyy3PeaYY+K+++6Lvr6+uP3228sxVRRF3HLLLS33sX79+pg/f3657eLFi+Oxxx6LlStXxpe//OWYNm1aFEURU6ZMiX/9139tuR/zL2w/75/to7/p/HVzPJ2bdvRRxkNKv9b5fm08nRt2jACQbA3c/ZswYcKwHxdeunRpOYlcc8019R9gl1x99dWxYsWK+K//+q+IiHj55ZfH3CA///zzZZOxcOHCePvttwet37BhQyxcuLA8/63uGt1+++3la1900UVD1q9bt668I/X+97+/5dcRzj777HI/995775D199xzz4h/46ZNm2Lu3LlRFNvumL344otDtrnooovK/SxbtmzY/VThpJNOinvuuadl09Xf3z/oov+jH/1o2O3UqbN1Gk24+L3vfa88lk9/+tND1r/55pux2267lf+H9b1327ds2RInn3xyuY8f/vCHw77OY489Vm5z8sknDzm2/v7+mDNnThRFETNmzIi33npr2P1cddVV5X6WLl06ZP1TTz1Vjqmjjz665d9t/oXt5/2zffQ3w/+NVV03x9u5aUcfZTyk9GtHt/y7q7jejLdzw44RAJKlNWvWlBPIhRdeOOw2W7dujYMOOqicRDZt2lTzUY4P29Mgf/7zny//zapVq4bdZtWqVW0v6BFRnv899tij5fMlrrvuurbNzuuvv17exTz++ONbHvPxxx8fRbHtDuLrr78+ZH3aNF133XXD7mPDhg2x++67R1EUcfDBB7d8rTqsWLGiPN4//uM/HnYbdep+nSIiFixYEEWx7asl77VkyZLy71m+fPmw//61114r70yfeOKJw27ziU98omzgWt31X758edtmcdOmTWUDd9BBB7X8ys6FF15Y7qevr2/IevMvbD/vn+rob7ap6ro5ns5NFfRRxsN76deGGs31ZjydG3acAJAsXXHFFeXksHr16pbbpReURx55pMYjHD/G2iC/++67MXv27CiKIg488MC22w5cSPfdd9949913B617/vnny9f93Oc+13Ifr7/+erndcB8bv+WWW8r1d999d8v9pBeM4T42ftZZZ5Xrh2uYBqQX0+eff77ldp32q1/9qjyO4S6k6jQ+6hQR5R3wadOmDVl35JFHRlFsuwvf7jlEAw39pEmThnwFY/369eVzfE444YSW+9i4cWN5F/3II48csv6RRx4pz9lXvvKVlvtJG/rhvtZj/oXt5/1THf3NNlVcN8fbuamCPsp4eC/92vBGut6Mp3PDjhMAkqWBjzNPnTq17UfFV65cWU5oV199dY1HOH6MtUH+6U9/OuLdogEXXHBBue1LL700aF36kf9Wd4sGDHxNY86cOUPWpV+HaNfI/OxnPyu3O+ecc4as32+//aIoiliwYEHbY7nrrrvK/dxxxx1tt+2kN998szyOk08+ech6dRofdXruuecGfUUmtXHjxvJuaLu7+RER1157bfn3PP7444PWpV+ZaHU3f8DAM7EmTJgw5C5u+nWSVnfzI7b9Ut+UKVOiKIr42Mc+NmS9+Re2n/dPdfQ321Rx3Rxv56YK+ijjIaVf277rzXg7N+w4ASBZ2nPPPaMoivjQhz7Udru33nqrnGxOP/30mo5ufBlrg5x+ZeKv//qv2277jW98o9z2gQceGLTuS1/6Urmu3cNpIyI++clPRlEUsdNOO8WvfvWrQet+53d+J4qiiN12223EYx+4Y3T44YcP+u//+7//Wx7LKaec0nYfzzzzTLntn/7pn474mp3y3e9+tzyOSy+9dMh6depenTZs2BAvvPBCfP3rX49Zs2aVx/GP//iPg7Zbu3Ztue6LX/xi232m9f67v/u7QetuuOGGct33vve9tvv5kz/5k3Lbf//3fx+07rTTTivX/fKXv2y7nw9+8INRFEXstddeQ9aZf2H7ef9UR39T3XVzvJ2bKuijjAf92o5fb8bbuWHHCQDJzjvvvFNOCieddNKI20+dOjWKooiPfOQjNRzd+DPWBvmmm24qt//2t7/ddttvf/vb5bY333zzoHVnnHFGue69D4t9ry984Qvlts8999ygdQMX7A984AMjHvsHPvCBKIoi9tlnn0H//Sc/+Um5/y984Qtt99Hf319ue+aZZ474mp2wdevWOOKII8rj+Jd/+Zch26hTvXVatmxZ+XrDLZdffvmQr7489NBD5fqvfvWrbff/9NNPD9pX6rLLLivXPf30023389WvfrXc9uGHHx607sMf/nAUxbY7wSM56aSTyv383//9X/nfzb+w/bx/qqW/qe66Od7OzY7SRzV3POjXtqnqejPezg07TgBIdn7xi1+Uk8IZZ5wx4vYDPy9/yCGH1HB0489YG+T016Aeeuihtts++OCD5bZf+9rXBq078cQTy3XvvPNO2/1ceumlLZu0gY+2f/jDHx7x2Aeavfc+26Ovr6/c/2WXXdZ2H2+//Xa57e/93u+N+Jqd8LWvfa08hlNPPXXYbdSp3jq1aih/67d+a9gHL0dE3HvvveV2N910U9v9/8d//Ee57R/90R8NWpf+Wt9PfvKTtvu58cYby22/853vDFp38MEHR1EUMWvWrBH/3t///d8v9/PGG2+U/938C9vP+6da+pvqrpvj7dzsKH1Uc8eDfm2bqq434+3csOMEgGTn1VdfLSeFs88+e8TtB56FMW/evBqObvwZa4P8l3/5l+X2jz32WNtt0+c5/NVf/dWgdR//+MfLda1+vWpA+qyLJ598ctC6gV9EO+qoo0Y89oFnXeyyyy6D/vsTTzxR7v+qq65qu4+tW7eW2/7u7/7uiK9ZtX/6p38qn1Gy9957x89//vNht1Oneuv0y1/+MtauXRtr166Nvr6+WL58eXz6058u55YVK1YM+Td///d/Xx7j7bff3nb/6fN2zj///EHrzjvvvHLdT3/607b7SZ+38w//8A+D1s2dOzeKooj99ttvxL83fRZR+ktt5l/Yft4/1dLfVHfdHG/nZkfoo5o9HvRr21R1vRlv54YdJwAkO+6gj4075OP7k2WpZ599NnbfffcoiiImT54cP/rRj1puq07d/6RmxLbGaKeddoqdd945li1bNmjdeLtrOp7uKEMTef9US3/jE1/vpY8yHlrRr7XnE4DNIQAkO56hMzaekTO+ny034KWXXorZs2dHUWy7o3vfffe13V6duv+sxgEDzdfUqVPiVWroAAAKtUlEQVTjzTffLP/7eHtuynh6pgw0kfdPtfQ3nvmW0kcZDyPRr7XmGYDNIQAkSzNnzoyi8Ct6o+FX8iLWr19fHst4/HXZ//zP/yw/7r/TTjvFt771rRH/jTqNj19rjoi48847y2O58847y/8+3n45rapflTP/wvbz/qmO/qa66+Z4OzdjpY/axnhoT782PL8C3CwCQLI08OyLqVOnxubNm1tut3LlynICufrqq2s8wvFjrA1y+vyGCy+8sO22F1xwQbntSy+9NGhd+vyG5cuXt93P/PnzoyiKmDNnzpB16bMtXn/99Zb7+NnPflZud8455wxZP/BsiwULFrQ9lrvuuqvczx133NF22yr09/eXH/UviiL+9m//dlT/Tp3qrVM7P/jBD8pjufbaa8v/vnHjxthll12iKIo4/vjj2+7j2muvLffx+OOPD1qXPl/nuuuua7uf4447LoqiiAkTJsSmTZsGrUufr7Nq1aqW+9i8eXN5J/hjH/vYkPXmX9h+3j/V0d9sU8V1c7ydm7HQRw3W9PHQjn5teO2uN+Pt3LDjBIBk6YorrignkdWrV7fc7rrrriu3e+SRR2o8wvFjrA3yu+++W36F4sADD2y77YEHHhhFUcS+++4b77777qB1zz//fPm6n/vc51ru4/XXXy+3O+uss4asv+WWW8r1d999d8v9LF++vNzulltuGbL+rLPOGlVjdeGFF5bbPf/88y23q8J///d/x2//9m+Xr/eVr3xl1P9Wneqr00jSX5y7/vrrB6078sgjoyiKmD59emzcuLHlPo4//vgoiiImTZoU69evH7Ru/fr1MXHixCiKIk444YSW+9i4cWP5qYAjjzxyyPpHHnlkVGNt1apV5XZXXHHFkPXmX9h+3j/V0d9sU8V1c7ydm9HSRxkPY6FfG95I15vxdG7YcQJAsrRmzZpyomp1Z2rr1q1x0EEHRVEUMWPGjMbeQRhrgxwR8fnPf778N63uPKUXnYsuumjYbQbO/x577BEbNmwYdpv0onPvvfcOWf/666+Xv4zW7s7TwEVn5513Hrbhueeee8rXaXXnacOGDeXDow8++OCWr1WFDRs2xEc/+tHymP7sz/5szPtQp87XaTTSh1z/8Ic/HLRuyZIl5bpWd79fe+218u7qiSeeOOw2n/jEJ6Iott0NTX/lLZX+n4KlS5cOWb9x48bYbbfdoiiKOOigg4Y06gPS/1PQ19c3ZL35F7af90919DfbVHXdHE/nZjT0UcbDWOnXhhrN9WY8nRt2nACQbA18rHnChAmxcuXKIevTX7C65ppr6j/AcWJ7GuTnn3++nMQXLlwYb7/99qD1b7/9dixcuLA8/y+88MKw+0k/+j/cw4hffPHF8i7P+9///pYfT0+/FjHcw4jTX6hq9Tdu2rSpfD7M9OnT48UXXxyyTfoLVe/9hbAqbdy4sfx4e1GM/EyNVtSps3VatmzZiL9alz775jd/8zdjy5Ytg9a/+eabZRO3//77D/qFtoiILVu2xMknn9yyIR2QfnXik5/85JDX6e/vjzlz5pQN3FtvvTXsftKvlQzXWK1cuTImTJgQRVHE0Ucf3fLvNv/C9vP+qYb+Zpuqrpvj7dy0o48yHlL6taNb/t1VXG/G27lhxwgAydYzzzwTu+66axRFEdOmTYtrr702Vq1aFY8//vig51HMnz9/yMeQe9mTTz4Zy5YtK5f0l5Q++tGPDlrXLjy5/PLLy3932GGHxd133x1PP/103H333XHYYYeV64b7yPmALVu2DLo7e9ppp8XDDz8ca9asiRtuuKH8yfmdd945HnzwwZb7efXVV2OvvfYqL2CXXXZZPPnkk/Hkk0/GZZddVl4A99prr5Z3lCIiHnjggfLu6qxZs+KGG26INWvWxMMPPzzogbuLFi0aclGq0qmnnlq+1sc//vH4t3/7t1i7dm3Lpd1XXNWpc3Xaf//9Y4899ojFixfHt771rfjnf/7n+PGPfxxPPvlk3HjjjYPO2cSJE+PRRx8ddj8333xzud28efPijjvuiKeffjq+//3vxzHHHFOuG+lrL2eeeWa57THHHBPf//734+mnn4477rgj5s2bV64b7itBA9avX18+Z6coirjgggvi8ccfj1WrVsW1114b06ZNi6IoYtddd237wG7zL2w/75/to7/p/HVzPJ2bdvRRxkNKv9b5fm08nRt2jACQrN1///3lXaPhlvnz58e6deu6fZi1Ovfcc1uej+GWVrZu3RrnnXde2397/vnnx9atW9seT39/fxx++OEt9zFp0qS47bbbRvy7Vq9eHfvss0/L/eyzzz5tn28x4NZbby2fQTHccsQRR0R/f/+I+9kRY6lPUWy729aKOnXO/vvvP6r6/MZv/Eb84Ac/aLuvq6++OnbaaaeW+zjxxBNHvHv99ttvD/r6ynuXnXfeeVSfFlq3bl0ccMABLfczffr0WLFixYj7Mf/C9vP+GTv9TXtVXDfH27lpRR9lPKT0a+1Vdb0ZT+eG7ScAJHuvvPJKXHzxxTF//vyYMmVKzJgxIxYuXBhLlixp+ayJXlZVgzzggQceiFNOOSVmz54dEydOjNmzZ8cpp5wyprt0mzdvjhtvvDEWLVoUM2fOjMmTJ8fcuXNj8eLF8eyzz456P/39/XHllVfGIYccEtOmTYtp06bFoYceGldeeeWQj6O3s3bt2li8eHHMnTs3Jk+eHDNnzoxFixbFTTfdtF1fPRirKhvXAepUveeeey6+/vWvx6mnnhof/OAHY9asWTFhwoR43/veF/PmzYvTTjstli1bNup55qmnnorPfOYzsd9++8XEiRNj7733jmOPPTbuuuuuMR3XnXfeGccee2zsvffeMXHixNhvv/3iM5/5zLBf7WjlV7/6VSxZsiQWLlwYM2bMiClTpsSCBQvi4osvjldeeWXU+zH/wvbz/hkb/c3IqrpujqdzMxx91Og0ZTzo10ZW1fVmPJ0bto8AEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB6mAAQAAAAAHqYABAAAAAAepgAEAAAAAB62P8DwJS1dP2MpOUAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x11babf0f0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11c34b7b8>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({'nblocks':ws.apply(lambda x: len(x.working_set_blocks), 'columns'), 'njobs':ws.njobs}).hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#   DBS BLOCKS table schema:\n",
    "#     BLOCK_ID NOT NULL NUMBER(38)\n",
    "#     BLOCK_NAME NOT NULL VARCHAR2(500)\n",
    "#     DATASET_ID NOT NULL NUMBER(38)\n",
    "#     OPEN_FOR_WRITING NOT NULL NUMBER(38)\n",
    "#     ORIGIN_SITE_NAME NOT NULL VARCHAR2(100)\n",
    "#     BLOCK_SIZE NUMBER(38)\n",
    "#     FILE_COUNT NUMBER(38)\n",
    "#     CREATION_DATE NUMBER(38)\n",
    "#     CREATE_BY VARCHAR2(500)\n",
    "#     LAST_MODIFICATION_DATE NUMBER(38)\n",
    "#     LAST_MODIFIED_BY VARCHAR2(500)\n",
    "if not os.path.exists('data/block_size.npy'):\n",
    "    blocksize = pd.read_csv(\"data/dbs_blocks.csv.gz\", dtype='i8', usecols=(0,5), names=['block_id', 'block_size'])\n",
    "    np.save('data/block_size.npy', blocksize.values)\n",
    "    blocksize = blocksize.values\n",
    "else:\n",
    "    blocksize = np.load('data/block_size.npy')\n",
    "\n",
    "# We'll be accessing randomly, make a dictionary\n",
    "#blocksize = {v[0]:v[1] for v in blocksize}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[      555044, 103414137568],\n",
       "       [      555045,  60464996588],\n",
       "       [      555674,  42051383424],\n",
       "       ...,\n",
       "       [    19843759,   1968676046],\n",
       "       [    19817185,    216801160],\n",
       "       [    19817184,    115498385]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blocksize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# join the data tier definitions\n",
    "datatiers = pd.read_csv('data/dbs_datatiers.csv').set_index('id')\n",
    "ws['data_tier'] = datatiers.loc[ws.d_data_tier_id].data_tier.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done assembling blocklists\n"
     ]
    }
   ],
   "source": [
    "date_index = np.arange(np.min(ws.day.values//86400), np.max(ws.day.values//86400)+1)\n",
    "date_index_ts = np.array(list(datetime.date.fromtimestamp(day*86400) for day in date_index))\n",
    "\n",
    "ws_filtered = ws[(ws.crab_job==True) & (ws.data_tier.str.contains('MINIAOD'))]\n",
    "\n",
    "blocks_day = []\n",
    "for i, day in enumerate(date_index):\n",
    "    today = (ws_filtered.day==day*86400)\n",
    "    blocks_day.append(reduce(FastSet.union, ws_filtered[today].working_set_blocks, FastSet()))\n",
    "\n",
    "print(\"Done assembling blocklists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Day  0\n",
      "Day  30\n",
      "Day  60\n",
      "Day  90\n",
      "Day  120\n",
      "Day  150\n",
      "Day  180\n",
      "Day  210\n",
      "Day  240\n",
      "Day  270\n",
      "Day  300\n",
      "Day  330\n",
      "Day  360\n",
      "Day  390\n",
      "Day  420\n",
      "Day  450\n",
      "Day  480\n",
      "Day  510\n",
      "Day  540\n",
      "Day  570\n",
      "Day  600\n",
      "Day  630\n",
      "Day  660\n",
      "Day  690\n",
      "Day  720\n",
      "Day  750\n",
      "Done\n"
     ]
    }
   ],
   "source": [
    "nrecords = np.zeros_like(date_index)\n",
    "lifetimes = {\n",
    "    '1w': 7,\n",
    "    '1m': 30,\n",
    "    '3m': 90,\n",
    "    #'6m': 120,\n",
    "}\n",
    "ws_size = {k: np.zeros_like(date_index) for k in lifetimes}\n",
    "nrecalls = {k: np.zeros_like(date_index) for k in lifetimes}\n",
    "recall_size = {k: np.zeros_like(date_index) for k in lifetimes}\n",
    "previous = {k: FastSet() for k in lifetimes}\n",
    "\n",
    "for i, day in enumerate(date_index):\n",
    "    nrecords[i] = ws_filtered[(ws_filtered.day==day*86400)].size\n",
    "    for key in lifetimes:\n",
    "        current = reduce(FastSet.union, blocks_day[max(0,i-lifetimes[key]):i+1], FastSet())\n",
    "        recall = current - previous[key]\n",
    "        nrecalls[key][i] = len(recall)\n",
    "        ws_size[key][i] = sum(blocksize[bid] for bid in current)\n",
    "        recall_size[key][i] = sum(blocksize[bid] for bid in recall)\n",
    "        previous[key] = current\n",
    "    if i%30==0:\n",
    "        print(\"Day \", i)\n",
    "\n",
    "print(\"Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(736603.0, 737127.0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1)\n",
    "ax.plot(date_index_ts, recall_size['1w']/1e15, label='1 week')\n",
    "ax.plot(date_index_ts, recall_size['1m']/1e15, label='1 month')\n",
    "ax.plot(date_index_ts, recall_size['3m']/1e15, label='3 months')\n",
    "ax.legend(title='Block lifetime')\n",
    "ax.set_title('Simulated block recalls for CRAB users')\n",
    "ax.set_ylabel('Recall rate [PB/day]')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylim(0, None)\n",
    "ax.set_xlim(datetime.date(2017,10,1), None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "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": [
       "(736603.0, 737127.0)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1,1)\n",
    "ax.plot(date_index_ts, ws_size['1w']/1e15, label='1 week')\n",
    "ax.plot(date_index_ts, ws_size['1m']/1e15, label='1 month')\n",
    "ax.plot(date_index_ts, ws_size['3m']/1e15, label='3 months')\n",
    "ax.legend(title='Block lifetime')\n",
    "ax.set_title('Working set for CRAB users, MINIAOD*')\n",
    "ax.set_ylabel('Working set size [PB]')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_ylim(0, None)\n",
    "ax.set_xlim(datetime.date(2017,10,1), None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.696515582485798"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recall_size['3m'].mean()/1e12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}