tangled-catchment-distribution-fig6/Anygility-Tangled-Catchment-load-distribution.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluating BGP catchment on Tangled testbed\n",
    "\n",
    "In this notebook you will find the following investigations:\n",
    "<pre>\n",
    "1) Anycast Catchment baseline estatbility  \n",
    "2) Catchment distribution over BGP prepending prepend on each anycast site (positive prepend)\n",
    "3) Catchment distribution when we apply prepend on other sites (negative prepend)\n",
    "4) General effects of path prepending \n",
    "5) Effect of self-prepending on all the sites (FIGURE 6 on the paper)\n",
    "</pre>\n",
    "\n",
    "We use as input statistics collected on Tangled Testbed using Verfploter tool.\n",
    "Since raw Verfploter's datasets are large, we use vp-cli.py tool to preprocess\n",
    "raw files and generate catchment statistics files. In that way, dataset files used by this \n",
    "notebook -- directory ./stats_files/ -- where  obtained running vp-cli.py over \n",
    "raw Verfploter files. \n",
    "\n",
    "The process to generate this *stats* files is easy. You should get the raw Verfploter file, \n",
    "and run \n",
    "\n",
    "In case you want to build a new dataset from Verfploter files, you need to execute\n",
    "''vp-cli.py'' over each file individually specifying the bgp_policy that file reflects.\n",
    "Most of this stats files available here where build running the following command:\n",
    "\n",
    "    `` vp-cli.py -f <verfploter_file> -b <bgp_policy_name> --csv > outfilename.stats ``\n",
    "\n",
    "In './stats_file/' you will find different formats of .stats files. This happen as \n",
    "vp-cli.py where upgraded. This notebook should be able to treat them.\n",
    "\n",
    "* Joao Ceron - ceron@botlog.org\n",
    "* Leandro Bertholdo - leandro.bertholdo@gmail.com"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Enable Input Dataset here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "## Verfploter files in https://object.dacs.utwente.nl/public/dataset/Usenix_anygility_3_sites_2020-04-04.tar.gz\n",
    "#dir= \"./stats_files/2020-04-04-1585997782-3-sites-used/compat-stats*.txt\"\n",
    "\n",
    "## Verfploter files in https://object.dacs.utwente.nl/public/dataset/Usenix_anygility_5_sites_2020-04-08.tar.gz\n",
    "#dir= \"./stats_files/2020-04-08-1586357779-5-sites-used/compat-stats*.txt\"\n",
    "\n",
    "## Verfploter files in https://object.dacs.utwente.nl/public/dataset/Usenix_anygility_7_sites_2020-04-05.tar.gz\n",
    "#dir= \"./stats_files/2020-04-05-1586099710-7-sites-used/compat-stats*.txt\"\n",
    "\n",
    "## These stats datasets does not have original Verfploter files available\n",
    "#dir= \"./stats_files/load-2019-12-06-1575649928/*load*.txt\"\n",
    "#dir = \"./stats_files/load-4-sites/load-new*.txt\"            # prepend 3-sites and community 4-sites\n",
    "#dir = \"./stats_files/load-5-sites/load-new*.txt\"  \n",
    "#dir = \"./stats_files/load-6-sites/load-new*.txt\"  \n",
    "#dir = \"./stats_files/load-stats/load-new*.txt\"              # this dataset was used on Usenix figure 6\n",
    "\n",
    "# This is a new Verfploter dataset. Dataset in https://object.dacs.utwente.nl/public/dataset/Usenix_anygility_5_sites_2022-03-24_NEW.tar.gz\n",
    "dir = \"./stats_files/2022-03-24-new-5-sites/*.stats\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:43:51.152924Z",
     "start_time": "2020-03-23T08:43:50.296082Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import glob\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('default')\n",
    "\n",
    "from IPython.display import display\n",
    "from IPython.display import HTML\n",
    "\n",
    "import matplotlib\n",
    "%matplotlib inline\n",
    "from matplotlib import ticker\n",
    "\n",
    "import os.path\n",
    "import re\n",
    "import numpy as pynum_float\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:43:51.159824Z",
     "start_time": "2020-03-23T08:43:51.155340Z"
    }
   },
   "outputs": [],
   "source": [
    "# convert names to airport code (IATA)\n",
    "di = {\n",
    "\t\t\"au-syd-anycast01\": \"SYD\",   \"au-syd\": \"SYD\",   \"SYD\": \"SYD\", \n",
    "\t\t\"br-gru-anycast01\": \"GRU\",   \"br-gru\": \"GRU\",   \"GRU\": \"GRU\",\n",
    "\t\t\"br-poa-anycast01\": \"POA\",   \"br-poa\": \"POA\",   \"POA\": \"POA\",\n",
    "\t\t\"br-poa-anycast02\": \"POA\",   \"br-poa\": \"POA\",   \"POA\": \"POA\",\n",
    "\t\t\"fr-par-anycast01\": \"CDG\",   \"fr-par\": \"CDG\",   \"CDG\": \"CDG\",\n",
    "\t\t\"uk-lnd-anycast02\": \"LHR\",   \"uk-lnd\": \"LHR\",   \"LHR\": \"LHR\",\n",
    "\t\t\"us-sea-anycast01\": \"SEA\",   \"us-sea\": \"SEA\",   \"SEA\": \"SEA\",\n",
    "\t\t\"us-los-anycast01\": \"LAX\",   \"us-los\": \"LAX\",   \"LAX\": \"LAX\",\n",
    "\t\t\"us-mia-anycast01\": \"MIA\",   \"us-mia\": \"MIA\",   \"MIA\": \"MIA\",\n",
    "\t\t\"us-was-anycast01\": \"IAD\",   \"us-was\": \"IAD\",   \"IAD\": \"IAD\",\n",
    "\t\t\"de-fra-anycast01\": \"FRA\",   \"de-fra\": \"FRA\",   \"FRA\": \"FRA\",\n",
    "\t\t\"sg-sin-anycast01\": \"SIN\",   \"sg-sin\": \"SIN\",   \"SIN\": \"SIN\",\n",
    "\t\t\"dk-cop-anycast01\": \"COP\",   \"dk-cop\": \"COP\",   \"COP\": \"COP\",\n",
    "\t\t\"za-jnb-anycast01\": \"JNB\",   \"za-jnb\": \"JNB\",   \"JNB\": \"JNB\",\n",
    "\t\t\"nl-ens-anycast02\": \"ENS\",   \"nl-ens\": \"ENS\",   \"ENS\": \"ENS\",\n",
    "\t\t\"nl-ams-anycast01\": \"AMS\",   \"nl-ams\": \"AMS\",   \"AMS\": \"AMS\",\n",
    "\t\t\"nl-arn-anycast01\": \"ARN\",   \"nl-arn\": \"ARN\",   \"ARN\": \"ARN\", \n",
    "\t\t\"jp-hnd-anycast01\": \"HND\",   \"jp-hnd\": \"HND\",   \"HND\": \"HND\", \n",
    "        'vultr-nodes'     : 'vultr-nodes',\n",
    "        'ampath-nodes'    : 'ampath-nodes',\n",
    "        'unknown'         : 'unknown',\n",
    "        'baseline'        : 'baseline',\n",
    "        'all'             : 'baseline'\n",
    "} \n",
    "\n",
    "di_sites = {\n",
    "\t\t\"au-syd\": \"au-syd-anycast01\",    \n",
    "\t\t\"br-gru\": \"br-gru-anycast01\",    \n",
    "\t\t\"br-poa\": \"br-poa-anycast01\",    \n",
    "\t\t\"br-poa\": \"br-poa-anycast02\",    \n",
    "\t\t\"fr-par\": \"fr-par-anycast01\",    \n",
    "\t\t\"uk-lnd\": \"uk-lnd-anycast02\",    \n",
    "\t\t\"us-sea\": \"us-sea-anycast01\",    \n",
    "\t\t\"us-los\": \"us-los-anycast01\",    \n",
    "\t\t\"us-mia\": \"us-mia-anycast01\",    \n",
    "\t\t\"us-was\": \"us-was-anycast01\",    \n",
    "\t\t\"de-fra\": \"de-fra-anycast01\",    \n",
    "\t\t\"sg-sin\": \"sg-sin-anycast01\",    \n",
    "\t\t\"dk-cop\": \"dk-cop-anycast01\",    \n",
    "\t\t\"za-jnb\": \"za-jnb-anycast01\",    \n",
    "\t\t\"nl-ens\": \"nl-ens-anycast02\",    \n",
    "\t\t\"nl-ams\": \"nl-ams-anycast01\",    \n",
    "\t\t\"nl-arn\": \"nl-arn-anycast01\",    \n",
    "\t\t\"jp-hnd\": \"jp-hnd-anycast01\",    \n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "---\n",
    "<h1 align=\"center\">Functions</h1>\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:43:52.979776Z",
     "start_time": "2020-03-23T08:43:52.974546Z"
    }
   },
   "outputs": [],
   "source": [
    "def init_fig(width=12,height=5):\n",
    "    \n",
    "    fig = plt.figure(figsize=(width, height))\n",
    "    ax = plt.subplot(111)   \n",
    "    ax.set_facecolor(\"#ffffff\")\n",
    "    ax.spines['bottom'].set_color('0.5')\n",
    "    ax.spines['top'].set_color('0.5')\n",
    "    ax.spines['right'].set_color('0.5')\n",
    "    ax.spines['left'].set_color('0.5')\n",
    "    fig.tight_layout();\n",
    "    plt.style.use('default')\n",
    "    \n",
    "    return (fig,ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:43:54.214770Z",
     "start_time": "2020-03-23T08:43:54.208984Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_and_plot_reference_value(df,site):\n",
    "\n",
    "    \n",
    "    df_site = df[df['site']==site].sort_values(by=\"bgp\")\n",
    "    reference_value = df_site[df_site.bgp==\"baseline\"].iloc[0,2]\n",
    "\n",
    "    label = \"[{}%] BASELINE\".format(int(reference_value))\n",
    "    # reference value annotation\n",
    "    ax.annotate(label,xy=(25, reference_value), ha='right',color='black',va='bottom')\n",
    "    # reference value line\n",
    "    ax.axhline(y=reference_value, xmin=-1, xmax=1.0, color='grey', linestyle='dotted')\n",
    "\n",
    "    return (reference_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:43:55.082836Z",
     "start_time": "2020-03-23T08:43:54.941993Z"
    }
   },
   "outputs": [],
   "source": [
    "def check_stats_file(fstats):\n",
    "    ''' Check stats file if is consistent\n",
    "        return: True is ok \n",
    "                False if is error\n",
    "    '''\n",
    "    # Check stats file for more than ohe header\n",
    "    num_headers=0\n",
    "    df=pd.read_csv(fstats,comment='#')\n",
    "    try:\n",
    "        num_headers=df['site'].value_counts()['site'] # found column name as column data\n",
    "    except KeyError: \n",
    "        # not found 'site' as data... so its good\n",
    "        return True\n",
    "    \n",
    "    # more than one header = two measurements in same file (measurement script with error)\n",
    "    if num_headers:\n",
    "        print (f'ERROR:: on file {fstats}')\n",
    "        print (f'ERROR:: We found ({num_headers}) duplicated header on this file')\n",
    "        print (f'ERROR:: Check your measurement! More than one measurement is overlapping to same filename!')\n",
    "        return False\n",
    "    \n",
    "    return False\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#------------------------------------------------------------------------------\n",
    "def get_bgp_policy(fstats):\n",
    "    ''' Extract BGP Routing policy from *.stas files \n",
    "    '''    \n",
    "    policy=\"UNDEFINED\"\n",
    "    f = open(fstats, 'r')\n",
    "    Lines = f.readlines() \n",
    "    for line in Lines:\n",
    "        if re.match(\"#(bgp_)?policy\", line):\n",
    "            policy = line.split(\",\",1)[1].rstrip('\\n')\n",
    "        \n",
    "            if ('UNDEFINED' in policy) or (policy=='#') or (policy==''):\n",
    "                # keep searching another occurrence\n",
    "                continue\n",
    "                \n",
    "    if ('UNDEFINED' in policy):\n",
    "        print (f'UNDEFINED bgp policy in [{ftats}] ....')\n",
    "    \n",
    "    return policy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_stats_df(fstats):\n",
    "    \"\"\" Read stat files solving compatibility issues with old file format\n",
    "    \"\"\"\n",
    "    #print (\"read_stats_df:: {}\".format(filename))\n",
    "    df=pd.read_csv(fstats,comment='#')\n",
    "    \n",
    "    # if do NOT have headers - assume old format and set a default header \n",
    "    is_header = not any(cell.isdigit() for cell in df.columns)\n",
    "    if (not is_header):\n",
    "        df=pd.read_csv(fstats,comment='#',names=[\"site\", \"counts\", \"percent\"])\n",
    "        \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#------------------------------------------------------------------------------\n",
    "from datetime import datetime\n",
    "def get_header_fstats(fstats):\n",
    "    ''' Extract data from Stats file header\n",
    "    receive: stats file\n",
    "    return: active_nodes, bgp_policy, date, \n",
    "    '''    \n",
    "    policy='UNDEFINED'\n",
    "    day=''\n",
    "    nodes=''\n",
    "    \n",
    "    f = open(fstats, 'r')\n",
    "    Lines = f.readlines() \n",
    "    for line in Lines:\n",
    "        #bgp_policy or policy\n",
    "        if (policy=='UNDEFINED'):\n",
    "            if re.match(\"#(bgp_)?policy\", line):\n",
    "                policy = line.split(\",\",1)[1].rstrip('\\n')\n",
    "                if (policy=='#') or (policy==''):\n",
    "                    # keep searching another occurrence\n",
    "                    policy='UNDEFINED'\n",
    "                    continue\n",
    "                \n",
    "        #date ou timestamp\n",
    "        if not day:\n",
    "            if re.match(\"#date\", line):\n",
    "                day = line.split(\",\",1)[1].rstrip('\\n')\n",
    "            if re.match(\"#timestamp\", line):\n",
    "                timestamp = int(line.split(\",\",1)[1].rstrip('\\n'))\n",
    "                day = datetime.fromtimestamp(timestamp)     \n",
    "                \n",
    "        #nodes\n",
    "        if not nodes:\n",
    "            if re.match(\"#active_nodes\", line):\n",
    "                nodes = line.split(\",\",1)[1].rstrip('\\n')\n",
    "                nodes = nodes.split(',')\n",
    "                nodes.sort()\n",
    "\n",
    "    # Aditional info from CSV data\n",
    "    df=read_stats_df(fstats)\n",
    "    \n",
    "    # no active_nodes on header?\n",
    "    if not nodes:\n",
    "        nodes=df['site'].drop_duplicates().str.replace('-anycast\\d\\d','').to_list()\n",
    "        nodes.sort()\n",
    "\n",
    "    # fix legacy mistake on measurement-scripts\n",
    "    if 'ipv4' in nodes:\n",
    "        nodes.remove('ipv4')\n",
    "    if 'unknown' in nodes:\n",
    "        nodes.remove('unknown')  \n",
    "\n",
    "    # remove pinger if appear on stats (local interface)\n",
    "    df=df[df['counts']==1]['site']\n",
    "    if len(df):\n",
    "        pinger=df.iloc[0]\n",
    "        pinger='-'.join(pinger.split('-')[:2])\n",
    "        if pinger in nodes:\n",
    "            nodes.remove(pinger)\n",
    "        \n",
    "    return (nodes, policy, day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#------------------------------------------------------------------------------\n",
    "def policy_eval(bgp):\n",
    "    '''Evaluate BGP policy returning bgp_policy type, site where applied, \n",
    "    and values of prepends and communties if the case\n",
    "    receive: bgp policy name from stats header (eg. community-20473:6000-au-syd)\n",
    "    return: a pd.Series containg bgp_policy(community), location(au-syd),\n",
    "            number_prepends(0 in this example), comunity_values(20473:6000)\n",
    "    '''\n",
    "    #print (f'policy_eval:: {bgp}')\n",
    "    \n",
    "    #baseline\n",
    "    if 'baseline' in bgp:\n",
    "        dic={'bgp_policy':'baseline', \n",
    "             'bgp_policy_location':'all', \n",
    "             'num_prepend':0, \n",
    "             'community':'None'\n",
    "            }\n",
    "        \n",
    "    # community prepend \n",
    "    elif any(x in bgp for x in ['vultr','ampath']):\n",
    "        #print (bgp)\n",
    "        aux = re.search('.*-(\\d)x-(\\w+)-([a-z]{2}-[a-z]{3})*', bgp)      \n",
    "        nprep = int(aux.group(1))\n",
    "        location = aux.group(2)+'-nodes'\n",
    "        site = aux.group(3)        \n",
    "        policy = 'prepend-community'\n",
    "        \n",
    "        dic={'bgp_policy':policy,\n",
    "             'bgp_policy_location':location, \n",
    "             'num_prepend':int(nprep), \n",
    "             'community':'None'\n",
    "            }               \n",
    "    \n",
    "    #prepends\n",
    "    elif any(x in bgp for x in ['prepend','positive','negative']):\n",
    "        aux = re.search('.*-(\\d)x-([a-z]{2}-[a-z]{3}).*', bgp)\n",
    "        nprep = int(aux.group(1))\n",
    "        site  = aux.group(2)\n",
    "        \n",
    "        if 'negative' in bgp:          \n",
    "            nprep = nprep*-1\n",
    "        \n",
    "        dic={'bgp_policy':bgp,\n",
    "             'bgp_policy_location':site, \n",
    "             'num_prepend':int(nprep), \n",
    "             'community':'None'\n",
    "            }                    \n",
    "        \n",
    "        \n",
    "    #communities\n",
    "    elif 'community' in bgp:\n",
    "        aux=re.search('community-([0-9:,]+)-([a-z]{2}-[a-z]{3}).*', bgp)\n",
    "        site  = aux.group(2)\n",
    "        community = aux.group(1)\n",
    "        \n",
    "        dic={'bgp_policy':bgp,\n",
    "             'bgp_policy_location':site, \n",
    "             'num_prepend':int(0), \n",
    "             'community':community\n",
    "            }     \n",
    "\n",
    "    #withdraw\n",
    "    elif 'withdraw' in bgp:\n",
    "        aux=re.search('withdraw-([a-z]{2}-[a-z]{3}).*', bgp)\n",
    "        site  = aux.group(1)\n",
    "        \n",
    "        dic={'bgp_policy':bgp,\n",
    "             'bgp_policy_location':site, \n",
    "             'num_prepend':int(0), \n",
    "             'community':'None'\n",
    "            }     \n",
    "\n",
    "    #unicast\n",
    "    elif 'unicast' in bgp:\n",
    "        aux=re.search('unicast-([a-z]{2}-[a-z]{3}).*', bgp)\n",
    "        site  = aux.group(1)\n",
    "        \n",
    "        dic={'bgp_policy':bgp,\n",
    "             'bgp_policy_location':site, \n",
    "             'num_prepend':int(0), \n",
    "             'community':'None'\n",
    "            }            \n",
    "\n",
    "    elif any(x in bgp for x in ['-1x','-2x','-3x','-4x','-5x']):  # -1xMIA\n",
    "        aux = re.search('.*-(\\d)x([A-Z]{3}).*', bgp)\n",
    "        nprep = int(aux.group(1))\n",
    "        nprep = nprep*-1\n",
    "        site  = aux.group(2)\n",
    "        dic={'bgp_policy':bgp,\n",
    "             'bgp_policy_location':site, \n",
    "             'num_prepend':int(nprep), \n",
    "             'community':'None'\n",
    "            } \n",
    "\n",
    "    elif any(x in bgp for x in ['1x','2x','3x','4x','5x']):      # 1xMIA\n",
    "        aux = re.search('.*(\\d)x([A-Z]{3}).*', bgp)\n",
    "        nprep = int(aux.group(1))\n",
    "        site  = aux.group(2)\n",
    "        dic={'bgp_policy':bgp,\n",
    "             'bgp_policy_location':site, \n",
    "             'num_prepend':int(nprep), \n",
    "             'community':'None'\n",
    "            }       \n",
    "\n",
    "    # not treated\n",
    "    else:    \n",
    "        dic={'bgp_policy':bgp, \n",
    "             'bgp_policy_location':'ERROR', \n",
    "             'num_prepend':int(0), \n",
    "             'community':'ERROR'\n",
    "            }\n",
    "        print (f'WARNING:: Not treatment for: \\n{dic}')\n",
    "        \n",
    "    return pd.Series(dic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#------------------------------------------------------------------------------\n",
    "def remove_unknown_redo_percent(df):\n",
    "    '''Recalculate all df percentages removing \"unknown\" answers'''\n",
    "    \n",
    "    df=df[df['site']!='unknown']\n",
    "    tot=df['counts'].sum()\n",
    "    df['percent']=(df['counts']/tot*100).round(2)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "---\n",
    "<h1 align=\"center\">Read All stats files and build dataframe</h1>\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-5x-fr-par-anycast01#ipv4,us-mia,uk-lnd,fr-par,au-syd,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-3x-fr-par-anycast01#ipv4,br-poa,uk-lnd,us-mia,au-syd,fr-par#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-1x-fr-par-anycast01#ipv4,au-syd,us-mia,uk-lnd,fr-par,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/baseline#ipv4,uk-lnd,fr-par,br-poa,us-mia,au-syd#2022-03-24-04h17m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-3x-us-mia-anycast01#ipv4,au-syd,us-mia,fr-par,br-poa,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-2x-us-mia-anycast01#ipv4,fr-par,uk-lnd,br-poa,us-mia,au-syd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-3x-uk-lnd-anycast02#ipv4,fr-par,us-mia,au-syd,br-poa,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-3x-br-poa-anycast02#ipv4,us-mia,au-syd,br-poa,fr-par,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-2x-br-poa-anycast02#ipv4,br-poa,au-syd,us-mia,uk-lnd,fr-par#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-1x-us-mia-anycast01#ipv4,uk-lnd,au-syd,us-mia,br-poa,fr-par#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-2x-uk-lnd-anycast02#ipv4,fr-par,br-poa,au-syd,us-mia,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-3x-au-syd-anycast01#ipv4,us-mia,fr-par,uk-lnd,au-syd,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-4x-us-mia-anycast01#ipv4,br-poa,us-mia,fr-par,uk-lnd,au-syd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-2x-uk-lnd-anycast02#ipv4,au-syd,uk-lnd,fr-par,br-poa,us-mia#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-3x-us-mia-anycast01#ipv4,au-syd,fr-par,us-mia,uk-lnd,br-poa#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-5x-uk-lnd-anycast02#ipv4,br-poa,au-syd,fr-par,uk-lnd,us-mia#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-3x-fr-par-anycast01#ipv4,us-mia,au-syd,uk-lnd,br-poa,fr-par#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-4x-au-syd-anycast01#ipv4,uk-lnd,us-mia,br-poa,fr-par,au-syd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-5x-us-mia-anycast01#ipv4,br-poa,fr-par,us-mia,au-syd,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-4x-us-mia-anycast01#ipv4,uk-lnd,au-syd,us-mia,br-poa,fr-par#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-3x-au-syd-anycast01#ipv4,br-poa,us-mia,uk-lnd,fr-par,au-syd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-4x-br-poa-anycast02#ipv4,fr-par,au-syd,us-mia,uk-lnd,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-2x-us-mia-anycast01#ipv4,br-poa,fr-par,us-mia,au-syd,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-5x-au-syd-anycast01#ipv4,us-mia,uk-lnd,au-syd,br-poa,fr-par#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-5x-br-poa-anycast02#ipv4,br-poa,uk-lnd,au-syd,fr-par,us-mia#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-2x-au-syd-anycast01#ipv4,fr-par,uk-lnd,us-mia,au-syd,br-poa#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-2x-br-poa-anycast02#ipv4,fr-par,au-syd,us-mia,br-poa,uk-lnd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-1x-au-syd-anycast01#ipv4,br-poa,au-syd,fr-par,us-mia,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-1x-us-mia-anycast01#ipv4,au-syd,br-poa,us-mia,uk-lnd,fr-par#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-4x-fr-par-anycast01#ipv4,uk-lnd,fr-par,br-poa,us-mia,au-syd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-1x-uk-lnd-anycast02#ipv4,uk-lnd,au-syd,br-poa,us-mia,fr-par#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-1x-fr-par-anycast01#ipv4,uk-lnd,br-poa,au-syd,us-mia,fr-par#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-4x-au-syd-anycast01#ipv4,uk-lnd,us-mia,br-poa,au-syd,fr-par#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-4x-fr-par-anycast01#ipv4,fr-par,br-poa,au-syd,uk-lnd,us-mia#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-2x-au-syd-anycast01#ipv4,br-poa,fr-par,uk-lnd,au-syd,us-mia#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-2x-fr-par-anycast01#ipv4,uk-lnd,us-mia,au-syd,fr-par,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-1x-uk-lnd-anycast02#ipv4,fr-par,au-syd,us-mia,uk-lnd,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-1x-br-poa-anycast02#ipv4,us-mia,au-syd,fr-par,uk-lnd,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-4x-uk-lnd-anycast02#ipv4,uk-lnd,br-poa,fr-par,au-syd,us-mia#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-5x-fr-par-anycast01#ipv4,us-mia,uk-lnd,br-poa,au-syd,fr-par#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-1x-au-syd-anycast01#ipv4,br-poa,us-mia,fr-par,au-syd,uk-lnd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-5x-au-syd-anycast01#ipv4,us-mia,uk-lnd,br-poa,fr-par,au-syd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-4x-br-poa-anycast02#ipv4,br-poa,uk-lnd,au-syd,us-mia,fr-par#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-3x-uk-lnd-anycast02#ipv4,br-poa,fr-par,au-syd,uk-lnd,us-mia#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-2x-fr-par-anycast01#ipv4,us-mia,au-syd,fr-par,br-poa,uk-lnd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-5x-br-poa-anycast02#ipv4,au-syd,us-mia,fr-par,br-poa,uk-lnd#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-5x-us-mia-anycast01#ipv4,fr-par,au-syd,uk-lnd,br-poa,us-mia#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-4x-uk-lnd-anycast02#ipv4,us-mia,fr-par,uk-lnd,au-syd,br-poa#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-1x-br-poa-anycast02#ipv4,fr-par,us-mia,br-poa,uk-lnd,au-syd#2022-03-24-06h00m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-negative-5x-uk-lnd-anycast02#ipv4,br-poa,us-mia,uk-lnd,au-syd,fr-par#2022-03-24-12h10m.stats\n",
      "working on file: ./stats_files/2022-03-24-new-5-sites/prepend-positive-3x-br-poa-anycast02#ipv4,fr-par,br-poa,us-mia,uk-lnd,au-syd#2022-03-24-06h00m.stats\n"
     ]
    }
   ],
   "source": [
    "# Empty df to all stats\n",
    "df_all=pd.DataFrame(columns=['site','bgp'])\n",
    "\n",
    "count = 0\n",
    "fstats=''\n",
    "for fstats in (glob.glob(dir)):\n",
    "    count +=1\n",
    "    filename = os.path.basename(fstats)\n",
    "    print (\"working on file: {}\".format(fstats))\n",
    "    \n",
    "    # Check if statistics file is OK\n",
    "    if not check_stats_file(fstats):\n",
    "        print (f'This file is damaged --> {fstats}')\n",
    "        print ('Skipping...\\n')\n",
    "        continue \n",
    "        \n",
    "    # Read stats df\n",
    "    df=read_stats_df(fstats)\n",
    "    # if unknow site normalize percentage (TODO)\n",
    "\n",
    "    \n",
    "    # Read file header\n",
    "    (nodes, bgp_policy, day) = get_header_fstats(fstats)\n",
    "    #print (nodes, bgp_policy, day)\n",
    "    \n",
    "    df['bgp']=bgp_policy\n",
    "    df['time']=day\n",
    "    df['active_nodes']=','.join(nodes)\n",
    "    \n",
    "    #Check duplicated policies\n",
    "    if not df_all.empty:\n",
    "        pol_lst=df_all['bgp'].to_list()\n",
    "        policy=df['bgp'][0]\n",
    "        if policy in pol_lst :\n",
    "            print(f\"read_vpcli:: FOUND DUPLICATED POLICY AT {fstats}\")\n",
    "            print(f'WARNING::: This policy [{policy}] already exists!')\n",
    "            print(f'Check if its ok for you! [{fstats}]')\n",
    "            print ('Skipping...\\n')\n",
    "            continue    \n",
    "            \n",
    "    # remove \"unknown\" aswers and normalize percentage - we dont use this data here\n",
    "    df=remove_unknown_redo_percent(df)   \n",
    "\n",
    "    #\n",
    "    # remove PINGER from stats (if just used as PINGER - no catchment site)\n",
    "    #\n",
    "    #find pinger\n",
    "    recv_nodes=df['active_nodes'].drop_duplicates().to_list()[0].split(',')\n",
    "    all_nodes=df['site'].drop_duplicates().str.replace('-anycast\\d\\d','').to_list()\n",
    "    pinger=set(all_nodes)-set(recv_nodes)\n",
    "    if (len(pinger)>=1):\n",
    "        if (len(pinger)>1):\n",
    "            print(f'WARNING:: maybe some issue here. Detected {len(pinger)}??? PINGER {pinger}')\n",
    "            print(f'==>recv_nodes [{recv_nodes}] \\n==>all_nodes [{all_nodes}] \\n==>pinger [{pinger}] ')\n",
    "            print(f'==> file: [{fstats}]')\n",
    "        pinger=list(pinger)\n",
    "    #print(f'PINGER:: recv_nodes [{recv_nodes}]  \\nall_nodes [{all_nodes}]  \\npinger [{pinger}] ')    \n",
    "    # remove pinger\n",
    "    pinger=list(map(di_sites.get, pinger))\n",
    "    df=df[~df['site'].isin(pinger)]     \n",
    "\n",
    "    # Add policy_eval information \n",
    "    df[['bgp_policy','bgp_policy_location','num_prepend','community']]=df['bgp'].apply(policy_eval)    \n",
    "    \n",
    "    # Append DF to playbook\n",
    "    df_all=df_all.append(df)\n",
    "\n",
    "\n",
    "# make [counts,num_prepend] as integers\n",
    "df_all['num_prepend']=df_all['num_prepend'].astype(int)\n",
    "df_all['counts']=df_all['counts'].astype(int)\n",
    "    \n",
    "\n",
    "# For compat with old notebook version\n",
    "df_all.rename(columns={'counts':'count'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "---\n",
    "<h1 align=\"center\">Baseline Catchment</h1>\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare df for plotting\n",
    "df=df_all[['site', 'count', 'percent', 'time', 'bgp_policy_location','num_prepend', 'community', 'bgp_policy']].copy()\n",
    "df['site']=df['site'].map(di)\n",
    "df['bgp_policy_location']=df['bgp_policy_location'].map(di)\n",
    "\n",
    "# remove prepend vs community prepend experiment from df (keep on df_all)\n",
    "#df = df[~df['bgp_policy_location'].str.contains(\"nodes\")]\n",
    "#df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:45:18.976735Z",
     "start_time": "2020-03-23T08:45:18.847448Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "      <th>time</th>\n",
       "      <th>bgp_policy_location</th>\n",
       "      <th>num_prepend</th>\n",
       "      <th>community</th>\n",
       "      <th>bgp_policy</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>site</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LHR</th>\n",
       "      <td>877247</td>\n",
       "      <td>28.61</td>\n",
       "      <td>2022-03-24 05:36:49</td>\n",
       "      <td>baseline</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>baseline</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SYD</th>\n",
       "      <td>786285</td>\n",
       "      <td>25.64</td>\n",
       "      <td>2022-03-24 05:36:49</td>\n",
       "      <td>baseline</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>baseline</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDG</th>\n",
       "      <td>639643</td>\n",
       "      <td>20.86</td>\n",
       "      <td>2022-03-24 05:36:49</td>\n",
       "      <td>baseline</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>baseline</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POA</th>\n",
       "      <td>497424</td>\n",
       "      <td>16.22</td>\n",
       "      <td>2022-03-24 05:36:49</td>\n",
       "      <td>baseline</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>baseline</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MIA</th>\n",
       "      <td>265890</td>\n",
       "      <td>8.67</td>\n",
       "      <td>2022-03-24 05:36:49</td>\n",
       "      <td>baseline</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>baseline</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       count  percent                time bgp_policy_location  num_prepend  \\\n",
       "site                                                                         \n",
       "LHR   877247    28.61 2022-03-24 05:36:49            baseline            0   \n",
       "SYD   786285    25.64 2022-03-24 05:36:49            baseline            0   \n",
       "CDG   639643    20.86 2022-03-24 05:36:49            baseline            0   \n",
       "POA   497424    16.22 2022-03-24 05:36:49            baseline            0   \n",
       "MIA   265890     8.67 2022-03-24 05:36:49            baseline            0   \n",
       "\n",
       "     community bgp_policy  \n",
       "site                       \n",
       "LHR       None   baseline  \n",
       "SYD       None   baseline  \n",
       "CDG       None   baseline  \n",
       "POA       None   baseline  \n",
       "MIA       None   baseline  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig = plt.figure(figsize=(5, 4))\n",
    "ax = plt.subplot2grid((1,1), (0,0))\n",
    "\n",
    "def make_autopct(values):\n",
    "    def my_autopct(pct):\n",
    "        total = sum(values)\n",
    "        val = int(round(pct*total/100.0))\n",
    "        if (val==0):\n",
    "            return \n",
    "        return '{p:.1f}%'.format(p=pct,v=val)\n",
    "    return my_autopct\n",
    "\n",
    "result = df[df['bgp_policy'].str.contains(\"baseline\")].copy()\n",
    "result.set_index('site',inplace=True)\n",
    "result.plot(ax=ax, \n",
    "            y='percent',\n",
    "            autopct=make_autopct(result['count']),\n",
    "            startangle=-50, \n",
    "            pctdistance=0.8, \n",
    "            kind=\"pie\",\n",
    "            fontsize=12,\n",
    "            labels=None)\n",
    "\n",
    "labels=result.index\n",
    "ax.legend(labels, loc='upper center', bbox_to_anchor=(1.1,0.95))\n",
    "\n",
    "centre_circle = plt.Circle((0,0),0.50,fc='white')\n",
    "fig = plt.gcf()\n",
    "fig.gca().add_artist(centre_circle);\n",
    "ax.set_ylabel('')\n",
    "fig.tight_layout()\n",
    "fig.show()\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "---\n",
    "<h1 align=\"center\">Catchment investigation using prepends</h1>\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-17T09:26:38.481937Z",
     "start_time": "2019-12-17T09:26:38.472962Z"
    }
   },
   "source": [
    "# OVERALL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A - positive prepend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:46:12.436816Z",
     "start_time": "2020-03-23T08:46:11.746736Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#regex_prepend_site = \"^(?!.*negative)(prepend|baseline|all)\"\n",
    "regex_prepend_site = \"prepend|baseline|all\"\n",
    "data = df[df['bgp_policy'].str.contains(regex_prepend_site)].copy()\n",
    "data = data[data['num_prepend']>=0]\n",
    "data['num_prepend'] = data['num_prepend'].astype(str)\n",
    "data['bgp'] = data['num_prepend']+\"x\"+ data['bgp_policy_location']\n",
    "data.loc[data['bgp'].str.contains('0xbaseline'), 'bgp'] = 'baseline'\n",
    "data = data.groupby(['site','bgp'])['percent'].sum().unstack().T.fillna(0)\n",
    "data = pd.concat([data.tail(1),data])\n",
    "data = data.drop_duplicates(keep=\"first\")\n",
    "fig = plt.figure(figsize=(8, 4))\n",
    "ax = plt.subplot2grid((1,1), (0,0))\n",
    "data.plot(ax=ax,\n",
    "          kind='bar', \n",
    "          stacked=True,\n",
    "         );\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5));\n",
    "ax.set_title(\"Catchment - Load on Anycast Service Positive\");  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## B - negative prepend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:46:16.113434Z",
     "start_time": "2020-03-23T08:46:15.432170Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "regex_prepend_site = \"prepend|baseline|all\"\n",
    "data = df[df['bgp_policy'].str.contains(regex_prepend_site)].copy()\n",
    "data = data[data['num_prepend']<=0]\n",
    "data['num_prepend'] = data['num_prepend'].astype(str)\n",
    "data['bgp'] = data['num_prepend']+\"x\"+ data['bgp_policy_location']\n",
    "data.loc[data['bgp'].str.contains('0xbaseline'), 'bgp'] = 'baseline'\n",
    "data = data.groupby(['site','bgp'])['percent'].sum().unstack().T.fillna(0)\n",
    "data = pd.concat([data.tail(1),data])\n",
    "data = data.drop_duplicates(keep=\"first\")\n",
    "fig = plt.figure(figsize=(8, 4))\n",
    "ax = plt.subplot2grid((1,1), (0,0))\n",
    "data.plot(ax=ax,\n",
    "          kind='bar', \n",
    "          stacked=True,\n",
    "         );\n",
    "plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5));\n",
    "ax.set_title(\"Catchment - Load on Anycast Service\");  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## C. Impact of path prepending in catchment "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:46:24.877661Z",
     "start_time": "2020-03-23T08:46:18.996160Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "639643.0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<h2 style=\"color:#069\" >How prepending affects the load of site: CDG </h2>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "877247.0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<h2 style=\"color:#069\" >How prepending affects the load of site: LHR </h2>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "265890.0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<h2 style=\"color:#069\" >How prepending affects the load of site: MIA </h2>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "497424.0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<h2 style=\"color:#069\" >How prepending affects the load of site: POA </h2>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "786285.0\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<h2 style=\"color:#069\" >How prepending affects the load of site: SYD </h2>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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UzbYPcEr+/xzgbZKUh+8Blpb06jxuInBJp/JrZmZmZmbWqzr6jKGkkZKmAA8Df46I6+tmWQuYBRAR84EngVVrpp8D7AfsANxEqoUcLK1DJU2SNGnOnDntWwkzMzMzM7NhrqMFw4h4KSK2BNYGtpW0WZOLOJtUMDwQOKMgrRMjYkJETBg3blxL+TUzMzMzM+tFQ9IraUQ8AVxBag5a635gHQBJo4AVgUdr4mYDLwK7An8ZiryamZmZmZn1mk72SjpO0kr5/7Gkwt2MutkuAD6Q/38P8NeIqH8O8WjgyIh4qVN5NTMzMzMz62WjOrjsNYBTJI0kFUDPjog/Svo6MCkiLgB+BfxG0p3AY8AB9QuJiGs6mEczMzMzM7Oep1dW0C35JkyYEJMmTep2NszMzMzMbDElaXJETOh2PhYXQ/KMoZmZmZmZmS2+XDA0MzMzMzPrcS4YmpmZmZmZ9TgXDM3MzMzMzHqcC4ZmZmZmZmY9zgVDMzMzMzOzHueCoZmZmZmZWY9zwdDMzMzMzKzHFRYMJb1O0l8kTcvDm0v6UuezZmZmZmZmZkOhTI3hScAXgBcBImIqcEAnM2VmZmZmZmZDp0zBcJmIuKFu3PxOZMbMzMzMzMyGXpmC4SOSXgMEgKT3AA92NFdmZmZmZmY2ZEaVmOfjwInAxpLuB+4G/qujuTIzMzMzM7MhU6ZgGBHxdknLAiMiYp6k9TudMTMzMzMzMxsaZZqS/h4gIp6OiHl53Dmdy5KZmZmZmZkNpUFrDCVtDGwKrCjpXTWTVgCW7nTGzMzMzMzMbGg0akq6EbAnsBKwV834ecBHOpgnMzMzMzMzG0KDFgwj4nzgfElviohrhzBPZmZmZmZmNoQaNSX9fER8DzhI0oH10yPiiI7mzMzMzMzMzIZEo6ak0/PfSUORETMzMzMzM+uORk1JL8x/T+kfJ2kEsFxEzB2CvJmZmZmZmdkQKHxdhaTTJa2Q32M4Dbhd0v90PmtmZmZmZmY2FMq8x3CTXEO4L3AJsD7w/qIgSetIukLS7ZJuk/TJAebZSdKTkqbkz9E100LSb2uGR0maI+mPZVbMzMzMzMzMymn0jGG/0ZJGkwqGx0XEi5KiRNx84LMRcZOk5YHJkv4cEbfXzff3iNhzgPingc0kjY2IZ4FdgftLpGtmZmZmZmZNKFNj+AtgJrAs8DdJ6wGFzxhGxIMRcVP+fx6pM5u1mszfxcAe+f8DgTOajDczMzMzM7MChQXDiDg2ItaKiN0jIoB7gZ2bSUTSeGAr4PoBJr9J0i2SLpG0ad20M4EDJC0NbD5IfH8ah0qaJGnSnDlzmsmemZmZmZlZTytTY7iISOaXnV/ScsDvgU8N0JvpTcB6EbEF8FPgvLq0pgLjSbWFFxfk68SImBARE8aNG1c2e2ZmZmZmZj2v6YJhM/Kzib8HTouIc+unR8TciHgq/38x6XnG1epmuwD4AW5GamZmZmZm1hENC4aSRkjaoZUFSxLwK2B6RPxwkHlWz/Mhaducn0frZjsZ+FpE3NpKPszMzMzMzKyxhr2SRsQCST8jPR/YrP8gvdbiVklT8rj/BdbNyz4BeA9wmKT5wLPAAfk5xto83Acc20L6ZmZmZmZmVkKZ11X8RdK7gXPrC22NRMTVgArmOQ44bpBpyw0w7krgyrJ5MDMzMzMzs2JlnjH8b+B3wAuS5kqaJ6nwdRVmZmZmZma2ZCisMYyI5YciI2ZmZmZmZtYdhTWGSt4n6ct5eJ3cUYyZmZmZmZkNA2Wakv4ceBNwUB5+CvhZx3JkZmZmZmZmQ6pM5zPbRcTWkm4GiIjHJY3pcL7MzMzMzMxsiJSpMXxR0kggACSNAxZ0NFdmZmZmZmY2ZMoUDI8F/gC8WtL/AVcD3+porszMzMzMzGzIlOmV9DRJk4G35VH7RsT0zmbLzMzMzMzMhkqZZwwBlgH6m5OO7Vx2zMzMzMzMbKiVeV3F0cApwCrAasCvJX2p0xkzMzMzMzOzoVGmxvC/gC0i4jkASd8BpgDf7GC+zMzMzMzMbIiU6XzmAWDpmuGlgPs7kx0zMzMzMzMbamVqDJ8EbpP0Z9IzhrsCN0g6FiAijuhg/szMzMzMzKzDyhQM/5A//a7sTFbMzMzMzMxaN/6oiwadNvM7ewxhTpY8ZV5XccpQZMTMzMzMzMy6o+zrKszMzMzMzDqqUY0fuNavk1wwNDMzMzOztnHhbslUpldSMzMzMzMzG8YGrTGUdCGpF9IBRcTeHcmRmZmZmZmZDalGTUl/kP++C1gd+G0ePhB4qJOZMjMzMzMzs6EzaMEwIq4CkHRMREyomXShpEkdz5mZmZmZmZkNiTLPGC4raYP+AUnrA8t2LktmZmZmZmY2lMr0Svpp4EpJdwEC1gP+uyhI0jrAqcCrSc8qnhgRP6mbR8BPgN2BZ4APRsRNksYDdwP/FxFfyvOuBjwI/CIiDi+3emZmZmZm1iy/KL73lHnB/aWSNgQ2zqNmRMTzJZY9H/hsLugtD0yW9OeIuL1mnt2ADfNnO+D4/BdSwXAP4Et5eD/gthLpmpmZmZmZWRPKvq5iQ2AjYAtgf0kHFwVExIMRcVP+fx4wHVirbrZ9gFMjuQ5YSdIaedozwHRJ/c837g+cXTK/ZmZmZmZmVlJhjaGkrwA7AZsAF5Nq+a4mNRMtJTcN3Qq4vm7SWsCsmuH78rhH8vCZwAGSHgJeAh4A1iybrpmZmZmZmRUrU2P4HuBtwOyI+BCp1nDFsglIWg74PfCpiJjbZP4uBXYFDgDOKkjnUEmTJE2aM2dOk8mYmZmZmZn1rjIFw2cjYgEwX9IKwMPAOmUWLmk0qVB4WkScO8As99cta+08DoCIeAGYDHwWOKdRWhFxYkRMiIgJ48aNK5M9MzMzMzMzo1zBcJKklYCTSIW0m4Bri4Jyj6O/AqZHxA8Hme0C4GAl2wNPRsSDdfMcAxwZEY+VyKuZmZmZmZk1qUyvpB/L/54g6VJghYiYWmLZ/wG8H7hV0pQ87n+BdfNyTyA9s7g7cCeps5kPDZD+bbg3UjMzMzMzs44p8x5DJO0NvCUPXgUUFgwj4mrSew8bzRPAxwcYPxPYbIDxfUBfUdpmZmZmZmZWXmFTUknfAT4J3J4/R0j6VqczZmZmZmZmZkOjTI3h7sCWuQMaJJ0C3ExqFmpmZmZmZjYsTJ48+VWjRo36Jan1Ytl3vi8JFgDT5s+ff8g222zz8EAzlGpKCqwE9Hf+UvpVFWZmZmZmNvTGH3VRw+kzv7PHEOVkyTJq1Khfrr766q8fN27c4yNGjIhu56ddFixYoDlz5mwye/bsXwJ7DzRPmYLht4GbJV1BembwLcBR7cummZmZmZnZYmGz4VYoBBgxYkSMGzfuydmzZ7+iH5d+ZXolPUPSlcAb86gjI2J2m/JoZmZmZma2uBgx3AqF/fJ6Ddo8dtCCoaSt60bdl/+uKWnNiLipDfkzMzMzMzOzLmtUY3hMg2kB7NLmvJiZmZmZmS02xh910TbtXN7M7+wxucx8Rx555Oq///3vVx0xYkSMGDGCV73qVS9uuummzxx//PH3A/zzn/8cs8suu2w0ZcqU23fffffXPvzww6PHjBmz4MUXX9SOO+4474c//OH9q6222kvN5G3QgmFE7NzMgszMzMzMzKyayy+/fNk//elPK9166623jx07Nh588MFRzz33nHbeeeeNbrrppke33nrr5z72sY+t88UvfnFh4e/UU0+96y1vecszzz33nD7xiU+stdtuu732xhtvvKOZdIdTF6xmZmZmZmZLtPvvv3/0KqusMn/s2LEBsMYaa8xff/31X/zud78762Mf+9i6Z5111opPP/30yMMOO+yx+till146jj/++PseeOCBMddee+3YZtJ1wdDMzMzMzGwxse+++8594IEHxowfP36z973vfetedNFFywHsv//+T6644oovffSjHx1/wgkn3DNY/KhRo3j961//zLRp05ZuJl0XDM3MzMzMzBYTK6644oJp06bdftxxx90zbty4+R/4wAdec+yxx64K8PGPf/zhzTff/Oktttji+UbLiGi+Y1UXDM3MzMzMzBYjo0aNYs8995z3ox/96IHvf//795533nkrA4wYMYIRIxoX4ebPn88dd9yxzOabb/5cM2mWKhhKuqlu+OZmEjEzMzMzM7Nit9xyy1K33nrrUv3DN99889i11177hTKxzz//vA4//PC111hjjRe22267Z5tJt/AF9wARsXXd8FbNJGJmZmZmZrakKft6iXaaO3fuyCOOOGLduXPnjhw5cmSMHz/++VNOOWXQZwoBDj744A3GjBmz4IUXXhix4447zr3kkkvubDbdwoKhpO9GxJFF48zMzMzMzKyaHXfc8Zmbb755xkDT9txzz3l77rnnvNpxN9xwQ1OvpRhMmaakuw4wbrd2JG5mZmZmZmbdN2iNoaTDgI8BG0iaWjNpeeAfnc6YmZmZmZmZDY1GTUlPBy4Bvg0cVTN+XkS84mWKZmZmZmZmS7gFCxYs0IgRI5p/38NibsGCBQIWDDZ90KakEfFkRMyMiAOB+4AXgQCWk7Ru23NqZmZmZmbWXdPmzJmzYi5EDRsLFizQnDlzVgSmDTZPmc5nDge+CjzEyyXMADZvQx7NzMzMzMwWC/Pnzz9k9uzZv5w9e/ZmDK93vi8Aps2fP/+QwWYo87qKTwEbRcSj7cqVmZmZmZnZ4mabbbZ5GNi72/nohjKl4FnAk53OiJmZmZmZmXVHmYLhXcCVkr4g6TP9n6IgSSdLeljSgO1YJe0k6UlJU/Ln6JppIem3NcOjJM2R9McyK2VmZmZmZmbllWlKem/+jMmfsvqA44BTG8zz94jYc4DxTwObSRobEc+S3qV4fxNpm5mZmZmZWUmFBcOI+BqApGUi4pmyC46Iv0kaXyFvFwN7AOcABwJnADtWWJ6ZmZmZmZkNoLApqaQ3SbodmJGHt5D08zal/yZJt0i6RNKmddPOBA6QtDSpB9Tr25SmmZmZmZmZ1SjzjOGPgXcCjwJExC3AW9qQ9k3AehGxBfBT4LzaiRExFRhPqi28uGhhkg6VNEnSpDlz5rQhe2ZmZmZmZr2h1Ls5ImJW3aiXqiYcEXMj4qn8/8XAaEmr1c12AfADUjPSouWdGBETImLCuHHjqmbPzMzMzMysZ5TpfGaWpB2AkDQa+CQwvWrCklYHHoqIkLQtqZBa/67Ek4EnIuJWSTtVTdPMzMzMzMxeqUzB8KPAT4C1SD2DXgZ8vChI0hnATsBqku4DvgKMBoiIE4D3AIdJmg88CxwQEVG7jIi4Dzi27MqYmZmZmZlZ88r0SvoI8F/NLjgiDiyYfhzpdRYDTVtugHFXAlc2mw8zMzMzMzNrrLBgKGl94BOkjmAWzh8Re3cuW2ZmZmZmZjZUyjQlPQ/4FXAhsKCjuTEzMzMzM7MhV6Zg+FxE+Dk/MzMzMzOzYapMwfAnkr5C6nTm+f6REXFTx3JlZmZmZmZmQ6ZMwfANwPuBXXi5KWnkYTMzMzMzM1vClSkY7gdsEBEvdDozZmZmZmZmNvRGlJhnGrBSh/NhZmZmZmZmXVKmxnAlYIakG1n0GUO/rsLMzMzMzGwYKFMw/ErHc2FmZmZmZmZdU1gwjIirhiIjZmZmZmZm1h2FzxhKepekf0l6UtJcSfMkzR2KzJmZmZmZmVnnlWlK+j1gr4iY3unMmJmZmZmZ2dAr0yvpQy4UmpmZmZmZDV+D1hhKelf+d5Kks4DzWLRX0nM7mzUzMzMzMzMbCo2aku5V8/8zwDtqhgNwwdDMzMzMzGwYGLRgGBEfGsqMmJmZmZmZWXeU6ZX0FEkr1QyvLOnkjubKzMzMzMzMhkyZzmc2j4gn+gci4nFgq47lyMzMzMzMzIZUmYLhCEkr9w9IWoVyr7kwMzMzMzOzJUCZAt4xwLWSfpeH9wO+1bksmZmZmZmZ2VAqLBhGxKmSJgG75FHviojbO5stMzMzMzMzGyqFBUNJv4mI9wO3DzDOzMzMzMzMlnBlnjHctHZA0khgm85kx8zMzMzMzIbaoAVDSV+QNA/YXNJcSfPy8MPA+UULlnSypIclTRtkuiQdK+lOSVMlbZ3Hj5cUkr5ZM+9qkl6UdFzTa2hmZmZmZmYNDVowjIhvR8TywPcjYoWIWD5/Vo2IL5RYdh8wscH03YAN8+dQ4PiaaXcDe9QM7wfcViJNMzMzMzMza1KZzme+kF9XsSGwdM34vxXE/U3S+Aaz7AOcGhEBXCdpJUlr5GnPANMlTYiIScD+wNnAmkX5NTMzMzMzs+aU6XzmEOCTwNrAFGB74Fpe7qW0VWsBs2qG78vjHsnDZwIHSHoIeAl4gAYFQ0mHkmoeWXfddStmzczMzMysu8YfdVHD6TO/s0fD6WbNKPMew08CbwSui4idJW3M0LzH8FLgG8BDwFlFM0fEicCJABMmTIjOZs3MzMzMekHVwlmjeBfsbHFSpmD4XEQ8JwlJS0XEDEkbtSHt+4F1aobXzuOWAoiIFyRNBj4LbALs3YY0zczMzGwJVKWA5Zo3s2JlCob3SVoJOA/4s6THgXvakPYFwOGSzgS2A56MiAfrnks8BrgqIh6T1IYkzczMzLqvSkGlmzVY3cy3mXVWmc5n/jP/+1VJVwArkpp5NiTpDGAnYDVJ9wFfAUbnZZ4AXAzsDtxJ6mzmQwOkfRvujdTMzGyx16nCxuJcUHETQTMbTsp0PrM9cFtEzIuIqyStAGwFXN8oLiIOLJgewMcHGD8T2GyA8X2kV2CYmZnZAFybY2ZmrSrTlPR4YOua4acGGGdmZmZt4FooMzPrhkFfcF9DuXYPgIhYQLkCpZmZmZmZmS0ByhTw7pJ0BKmWEOBjwF2dy5KZmdmSy00yzcxsSVSmxvCjwA6kV0ncR+pB9NBOZsrMzMzMzMyGTpleSR8GDhiCvJiZmZmZmVkXlKkxNDMzMzMzs2Fs2BYM77rrLvr6+njyyScBuPPOO+nr6+Opp54C4I477qCvr49nnnkGgOnTp9PX18dzzz0HwLRp0+jr6+PFF18EYOrUqfT19fHSSy8BMGXKFPr6+hamN3nyZE499dSFwzfeeCOnnXbawuHrrruOM844Y+HwNddcw9lnn71w+Oqrr+acc85ZOHzVVVdx7rnnLhy+4oorOP/88xcOX3755Vx44YULhy+77DIuuujl51ouvfRSLr305ddNXnTRRVx22WULhy+88EIuv/zyhcPnn38+V1xxxcLhc889l6uuumrh8DnnnMPVV1+9cPjss8/mmmuuWTh8xhlncN111y0cPu2007jxxhsXDp966qlMnjx54XBfXx9TpkwB4KWXXqKvr4+pU6cC8OKLL9LX18e0adMAeO655+jr62P69OkAPPPMM/T19XHHHXcA8NRTT9HX18edd94JwJNPPklfXx933ZUehX388cfp6+tj5syZADzyyCP09fUxa9YsAB5++GH6+vq4//77AZg9ezZ9fX3Mnj0bgPvvv5++vj4efvhhAGbNmkVfXx+PPPIIADNnzqSvr4/HH38c8L7nfc/7Xr9e3/feOeYOXjdyzsLhiWNm8NqR6bsr2vdGM5+JY2aw3oj03S7Fi0wcM6Nw31tjxFwAltPzTBwzg1ePmAfACnqOiWNmNNz3Jo6ZwSpK+8ZqepqJY2awkp4F4FUjnirc9yaOmcGyegGAtUY8ycQxMxhL2peK9r31Rz7GxDEzGEna1zYY+SgTx8xALACK972NRz7MrmP+uXB4k5EP8bYx/1o4XLTvbTHqAd4y+uXuE7YadT9vHn33wuGifW/b0fey7eh7Fw5vP/qewn1vq1H3Lxx+y+i72GLUAwuH3zr63w33vbeN+RebjHxo4fCuY/7JxiMfXjhcdN6bOGYGG4x8FICRpOH1Rz4GFJ/3xuZ9ca0R6TyzrF5g4pgZC/e9ovPeSnqWiWNmsJqeBmAVPbPIvld03nv1iHlMHDOD5fQ8AGuMmMvEMTMKz3tL5X1xvRGPM3HMDEYzH3h532t03ps4ZsbCbfm6kXN455g7Fg5vPPLhwvPezmPuXDj8hlEP8tbR/144XHTe22bUfewweubC4TeOmsX2o+9ZOFx03tth9Ey2GXXfwuE3j757kX2v6Ly385g72WzU7IXD9fte0W9u7XlPLFhk3xvsN7f+vLfOiCeAl/e9ot/c+vPeq0akfWElPfuK854tyr2LmpmZ1Rl/1EW8dfQDPDblCd73x3TBufOYB5kzdR7TLnjcHciYmdmwo5o3UQw8g/SliPhm/n+piHh+SHJWwYQJE2LSpEndzoaZmXVRlfcBdvNF8c53+2KL4hfXdS6Kd77bG1sU73y3N7YofijzLWlyRExouMAeMmiNoaQjgb8B7wG+mUdfi19sb2ZmQ8CvfTAzMxs6jZqSzgD2AzaQ9Pc8vKqkjSLijgZxZmZmgAt3ZmZmS4pGnc88AfwvcCewE/CTPP4oSdcMEmNmZmZmZmZLmEY1hu8EjgZeA/wQmAo8HREfGoqMmZmZmZmZ2dAYtMYwIv43It4GzAR+A4wExkm6WtKFg8WZmZmZmZnZkqXM6yr+FBGTgEmSDouIN0tardMZMzMzMzMzs6FR+IL7iPh8zeAH87hHOpUhMzMzMzMzG1pNveA+Im7pVEbMzGzxVOVdVmZmZrZkaKpgaGZmSx6/MsLMzMyKFDYlNTMzMzMzs+HNBUMzMzMzM7Me54KhmZmZmZlZj3PB0MzMzMzMrMd1tGAoaaKkOyTdKemoAaZ/UNIcSVPy55A8frykkPTNmnlXk/SipOM6mWczMzMzM7Ne07GCoaSRwM+A3YBNgAMlbTLArGdFxJb588ua8XcDtV3l7Qfc1qn8mpmZmZmZ9apO1hhuC9wZEXdFxAvAmcA+TcQ/A0yXNCEP7w+c3eY8mpmZmZmZ9bxOFgzXAmbVDN+Xx9V7t6Spks6RtE7dtDOBA/L4l4AHBktM0qGSJkmaNGfOnKp5NzMzMzMz6xnd7nzmQmB8RGwO/Bk4pW76pcCuwAHAWY0WFBEnRsSEiJgwbty4jmTWzMzMzMxsOOpkwfB+oLYGcO08bqGIeDQins+DvwS2qZv+AjAZ+CxwTueyamZmZmZm1rs6WTC8EdhQ0vqSxpBq/S6onUHSGjWDewPTB1jOMcCREfFYx3JqZmZmZmbWw0Z1asERMV/S4cCfgJHAyRFxm6SvA5Mi4gLgCEl7A/OBx4APDrCc23BvpGZmZmZmZh3TsYIhQERcDFxcN+7omv+/AHxhgLiZwGYDjO8D+tqcTTMzMzMzs57W0YKhmZm1x/ijLmo4feZ39mg43czMzKwRFwzNzIZIo8KdC3ZmZmbWTd1+XYWZmZmZmZl1mQuGZmZmZmZmPc4FQzMzMzMzsx7nZwzNzEpyBzBmZmY2XLlgaGY9xYU7MzMzs1dywdDMhlzVwpl79zQzMzNrLxcMzXpYlQKWa97MzMzMhg8XDM2yThWSOlnAcuHMzMzMzNrBBcNhqpuFDReSzMzMzMyWLC4YdpCfozIzMzMzsyWB32NoZmZmZmbW41wwNDMzMzMz63E90ZTUPS+amZmZmZkNzjWGZmZmZmZmPc4FQzMzMzMzsx7ngqGZmZmZmVmPc8HQzMzMzMysx7lgaGZmZmZm1uNcMDQzMzMzM+txLhiamZmZmZn1uI4WDCVNlHSHpDslHTXA9KUknZWnXy9pfB6/k6SQdEjNvFvmcZ/rZJ7NzMzMzMx6TccKhpJGAj8DdgM2AQ6UtEndbB8GHo+I1wI/Ar5bM20a8N6a4QOBWzqVXzMzMzMzs17VyRrDbYE7I+KuiHgBOBPYp26efYBT8v/nAG+TpDx8D7C0pFfncROBSzqYXzMzMzMzs56kiOjMgqX3ABMj4pA8/H5gu4g4vGaeaXme+/Lwv4HtgM2AzwGXAQuAm4FDSIXFpyLiBwOkdyhwaB7cCLhjkKytBjxSYdWqxHcrtptpO99LTmw303a+eyO2m2k730tObDfTdr6XnNhupu11XnLSLopdLyLGtbjsYWdUtzNQ4GzgLGBj4Axgh8FmjIgTgROLFihpUkRMaDVDVeK7FdvNtJ3vJSe2m2k7370R2820ne8lJ7abaTvfS05sN9P2Oi85aVfNd6/pZFPS+4F1aobXzuMGnEfSKGBF4NH+iRExG3gR2BX4SwfzamZmZmZm1rM6WWN4I7ChpPVJBcADgIPq5rkA+ABwLfAe4K8RES8/ZgjA0cCrIuKluvFmZmZmZmbWBh0rGEbEfEmHA38CRgInR8Rtkr4OTIqIC4BfAb+RdCfwGKnwWL+ca9qctcLmph2M71ZsN9N2vpec2G6m7Xz3Rmw303a+l5zYbqbtfC85sd1M2+u85KRdNd89pWOdz5iZmZmZmdmSoaMvuDczMzMzM7PFnwuGZmZmZmZmPc4FQzMzMzMzsx7XswVDSaO7nYehJuk/Ksav26682PDUzX2kyjFd9Xwg6dUVYls+LttwTHdlm1XZXlV1M+1WSVpH0v9UiF9a0n7tzFOnVV3nimkvcdsLquW7Hess6Y1V4pdEvbDOksZJ6soL4LuZdq/qqYKhkrdJ+hVwXwvxr5H0ZUm3lZh3BUkb1gzvJ+ng/Gl4YSJppKTlaoa3l/SW/Fm+ROyBkj4nabM8bk9J1wDHFa5kmv9Nkt4j6VV5eHNJpwP/KBG7qqRPSPpZ/hwuadWS6VaJHSVpL0n/kz975ndjllI1vhVVvuc8f5V9rOXYPH/L+8ggyyt9bNXFtXxMt+F8sJKkD0v6C3BzwbwtH5ftOKbrlteVbdbM9mq3KmlLerOkD+X/xym9gqmVPDRV0MlpfUzS34ErgaYKtHm/2V3Sb4B7gP0L5n+zpINrhs+R9Nf82aWZtFvVyjpL2lTS3jXDP5J0cv5s3UTaTW2vgmUVFrLatb2r5Lsd6yxpE0nfUOpd/vhm4/MyXifppBZjV5L0xVZiW40fqnVu4769kqQ35s+KJWMk6auSHgHuAP4paY6kozuZbrfTNiAihv0H2B44FrgXeIr07sSVS8auCXya9F7G54CvAG8oEXci8MGa4TuBnwK/BE4oiP0B8Pma4buBC4E/A98tiO0D/gJ8G/gr8FtgBrBvyfX9PjAdOCOv8zeB2cAngaULYl8PPJjz8EngU8ApwAPAxh2MXYt08rgS+BHwY+CqPG7NEutcKT4vY1XgE8DP8udwYNVOfc9t2MeqxLa8j7Tj2MqxVY7pKrFjSa/VuQCYBTwB7ASM6NRxWSW229us1e2VY98MHFwzfE5e/78Cu3Qy7ZplfCUfk/+s2Wf/0UT8OOBjwN+BfwM/KJh/+bxt/0Q6HxwD3Nfk9/xW4Bd5nX+fj81lSsT9BdikZvhWYBvgLcClzeShZhmvA07q5Drn72eHmuHbgXcD7wfO69T2GmA5I4Hdgd8ADwHndHJ7V8l31XUGxgNfAKYCk4FHgPEl4jYHLgOmkX431sjp3wd8uiB2HdLv1h+BQ4Bl877yMPCTEmlXje/GOlfdt5ci/X48QbohNgV4HDgZGFMQ+xnStcj6NeM2yMdpUb5bTrfbafsTw7tgCHwL+BfpBHwI6eL97pKxhwJXAP/MB/PmZWNz/M3k14H0D9f8f3WJ2FH1sYBKxE4jX/gAS+eDo2EBpS7+dvLFPbAy6SJwfMnYc4D3DjD+3cDvOxjbB3xqgPFHAKeUyHfV+JYKtVW+5zbtY63GtryP5JiWj62Kx3TLsTn+dNKF1K+AXUkXgmXTbvm4bMMx3ZVtVmV75fiWL5yrpl2znCn5eLy5ZtzUgpiWCzrAs6SbUjv2H5/AXU3k9z7gGtKF4/J5XNnv68a64XNr/m9YGKbaxW/VdZ5UN3xdzf9F57KWt1fNMlotiFfZ3lW+50rrDFwL3AZ8GdiwybSvBz4IbET6rXwI+B4lbiiSfjO+CryTdAO3/+bk6iXTbjm+i+vc8r6d5/k6cFr/95zHLQ+cCnyjIPZmYLUBxo+j5nzY7nS7nbY/w79g+DBwNfAeYKk8rtQPDvAC6cdqQs24Zn6sbq0b3qzm/2kFsbfUDb+j5v8pBbE3NRouke/6+JubiL2jlWltiJ3Ramyb4lsq1Fb5nqP6PlYltuV9JM/f8rFV8ZhuObb/OyHdLf4csHaTabd8XLbhmO7KNquyvfK8VS6cK6Vds5wbarc5qZahqGDYckGHdFPpOlIh+H+B1zS5zX4MzCTVihyU81s27X81mHZnQWyVi9+q69zot+OfndpeOb5KAa3K9q7yPVdd5/NILQeOI9dmNXNOqBtuJt3638v7aK72v+X4Lq5zy/t2nmcaA9ykAJaj+Hd+0OllYltNt9tp+xPD/hnDNUh3L/cC/p3b0Y9VuWfH1iDdTTpG0h2SvgE009nCAkmr9w9ExDQASWsBCwpix6jmGbOIuCzHrkiqMWhkY0lT8+fWmuFbJU0tke8NJF3Q/wHWrxtu5OkWp1WNfbbBtGcKYtsR/4aIOLt+ZET8HtisQVyV7xmq7WNVYqvsI1Dt2Kp6TLcaS0RsCbyXdPfxcklXA8urXGcmVY7Lqsd0V7ZZxe0FsFLd8t5VM9hwGW1Iu9/Zkn4BrCTpI8DlQNGzUF8gNWf6OfAFSa8pm1hE/Dgitgf2yaPOA9aUdKSk15WI/xSwPqmWcidSc/hxkt6rmueZBzFD0h71IyXtmZfTyFIR0RcRd0TET4CnI+LzEfFciTxXWmfgAUnbDZDv7UmtNhql/Sla316QbgquSXo2by9JywJRIg4qbO8q+a66zhGxL/AGUnPKr0q6G1hZ0rZFscDSkraStHV+Ru75uuGGJK0saRVJqwCPAivWDBdqNb6L69zyvp0tiIhXXMNExFMU76cvtDitarrdTrvn9d/NHPYkLQXsCRxIupP7l4g4qGTs2qQT/4Gku2t/iIj/LYh5H+nO6Wd5ubODrUnPlR0bEb9pEPsZ4O3ARyPi3jxuPdJDzn+NiB80iF2vUb4i4p6CfL+1IP6qBrH3AT8caBKpqeY6HYq9i1QzMFDs9yKi4YVZG+JviogBT/AF01r+nvO8VfaxKrEt7yMDLKvpY6smtsox3XJszTK2Id1x34/UVHCHBvO2fFxWPabrlrU0sAcp32+muW3WcmyOL7298vwXkp53vahu/J7AYRHxiovqdqVdF7sr8A7S+eBPEfHnknEbkJ5xPBDYkPS84h8i4p9l087L2Szn/b0R8domY0cDE3M+3hkRqzWY97XARaQasJvy6G2AHYA9G+Vb0gzSeiqPOi3nWQARcdMgoYMtr/Q654vzs0hN+Wvz/QFg/4i4oYl0R5OaGh5IwfaqiRGpgHUg6RnDFYEPAxfni9HB4lre3oPku9T3PEhsU+tcF/9q0k2YA4B1C36rr2Twi/OIiEE73ZE0k3TTUgNMjojYoCCfleLrljVU61xp35Z0C2nfHGidr4iILRrEvsTAN+VFagkw6M3cKul2O23roYJhLaVamv+MiFNbiN0QODAivl5i3omkpjGb5lHTgO9ExCUlYj+aY5cl7eDzcmxLPWANBUlfaTQ9Ir7WodhfF8R+qNH0NsRXKdRW+p4r7mMtx3ZCM8fWALFVjummY/vvrEfEU/nCcMeI+FuzaXfTUG6zVrZXuy6cF4fvqtnCnaSdefm4vC0irmhDHsZGRKPWEf03TP6rNm3g9KKavyoXvzXLaHmd84X6x1k03z+LiIdKxq9fE3t7RNxVZnsNsJymCmitbu+CZZbKd7vWuW6Z6zVzo2o46PQ6V9m321kYbka30u122sPFsC4Y5hqZQUXEQBfz/bHvGmxajj231Xw1I1+AERHzSs4/j4F/oJUWEysUxN86SDw5H5s3iN0+Iq4rk882x46PiJmtxLYpvuVCbc0ymvqeu6nKPpLjWz62Kh7TLcfWLONjwFGk5xUgFeS/GxE/L4hr+bisekznZexGauK4aV7WbTnfF3c4tqXtVRPf8oVz1bTzMt4FfBd4FWl7N7PNmy7oKDXlPpfUS+/kPHobUg+r+0ZEw+ZjVY/NvIyVSDWckJ5jerIopoqq61y3rHEAETGn5PwrkHpinkB6LhVgS2AScEhEzC2b9gDLLltAW4kmt3fF3+lK65xr8hulvfdg0yqe+xs2uyyqla4S3611rltOU/t2jhkZES+Vnb8u9mLgY61cG1VJt9tpG3T0PW2LgcJ3wTWwV4NpQfohayhfGBwObJxHTQeOi4grS8RuROq9ceM8PB04segueUQsXGdJN0fEVkVp1dmzP5x0t373JmJ/LulG0isYmr2YqBJ7uaRfkrqCn99kbDvi/1ShUNvS91wTX2UfazW2yj4C1Y6tKsd0lVgkfYlUW7VTRNyVx20A/ETSKhHxzcFiqxyXVY9ppWfj/hv4POniD9JF4XckrR0RJ3YotuXt1S8inpd0LqljEkgXzmUKhZXTzr4H7BUR00vOP1hBZz9J36W4oHMccHxE9NUt82BSE/N9BgqqsWfB9EHlQvgvchp3k95zvJ6kP5Cauw/6bE/Fi99K65xrgb9CqlUZmce9BPy0ROuDY0m9LB8QEQtqlvflnK+DG8QWFtBIvbUOFtvy9qbC90zFdSY9btCqver+v7BmuOjcf0zN/9vw8rHVH1tUK10lvivrXHHfBpgs6bCIuLbpXMOvgcsknUJ6pObFJmKrpNvttC0Wgx5whuOH9CzO3cCHgC1Id+T+H3AXsHtB7JtIrz/4GulHY9/8/wPA9k3koaneC6vGk37YPkV6DcH7hzB2eVL307eQmok1u55V428i/cCv2GRcpe+54j7Wcmw797El6UPqpOEVvSySajYKe4hrxzZrJZZ0EbjKAONXBaZ3MLbS9uLl91E9no+xKZR/B1e7vqvS7yysifkDNe8IrRl/MHB+Ub5bmdaOD9W6tv91zeeRuuGTO7nOVHvnWaOeQQedVjPPeo0+ndreFb/nSuvcxnzc3I3YdsQPVbpV9u0873bADaQOs0q9s7YufjlSi4lbSP0wfKb/08l0u512r3+GdY2hpGMbTY+IIxrEVm129j+ku8O31IybImkS6UXijZphHU161urKmnHnSfor6e7RbgVpd0Wku48/lnQZcK2kn5PuiBU2v6oYOw/4tFIHE39ReuZvQU1sw+ZTVeNJNShHADdK+kY06LilTtXvuco+ViW2korNQasc0y3HvjzLK2urIuJZSUU9uXaTIuKx+pER8Wi6Id2x2Krb64uk3mrXzcdof5Prn5FqN77cwbT7TZJ0FqmnzOdrltOoZmOTiPjPAdI+VdIXC9IbsKdwSSPINQaNDNDsWJQ8jwLvAraNmh79ImJebpJ7HQ22d9Q8h51rtRs+l12n0jqTXhWxa0Q8UpOfu5Q62LqMdNOvFWV28CrPlrW8vSt+z40UnxAKekIu8Xu5cNaS87U7tun4Lq5zpX07Iq5X6tX0o6Rz2SXU9Dpe4jfvBVInMEuRblqUOne2Id1up93ThnXBkLRjTAPOJtXCFJ70avyAdIf6EtIFQTOxkF6aekv9yIiYquIu018TAzTni4irJA3adAte0aRnpfomPgUXNPXt8MdK2oqadY/idvwfJj3X80XSA9KlT4QVY3cBfkJ6duJnlDyJtCO+QqG25e85q7KPtRxbdR+h2rFV5ZiuEgtwv6S3RcRfakfmfefBRoFVjsuqxzQwV9IW9d+3pC1Iz911Krbl7ZW1fOHchrT7rUB6Zc07asYVNXmrUtD5o6STSJ1WPZ3jliVdAJa5WfMXYPWcvzMj93Zc0qDdvEtq5oK22Yvfqus8uvbCeWEmIuYodQbTyDWSjibV0C3Mt6Qvk15q3lDFAlqV7V3le660zqTfxgBOJzWLbLmzmiVIt9a5yr7dbxXgjcAcUvPZUtc2Sp3T/RC4ANh6oH21E+l2O20b/gXDNUjdk+8PzCd1+3tORDxRInYrUvfNe5B2rDNI3bOX/dGr8l6+RhdcRbG17dmvqhsuuqCBRdvhz2bR3jYbtsOXdA3pxbk7RsTsgnTaGXsmsDZwUETcWjR/u+PzMlop1Fb5novm6eR7I1veR7Iqx1aVY7pKLKRa4fOV3onX/3zKBOA/KH72q8pxWfWY/ixwgVLvu7X5/gDwvg7GVtleUO3CuWra/Wk1U/PVr0pB5/PAt4F7JPXXRq0LnELqQbgov/sqvQf1XcBJSq8YOYtUeHhFzW99uKSVGfiGSScvrCqtM9XeefYJ4FfAnZKm5HFbkl7h8+ESaVcpoLW8vSt+z5XWOSK2lLQx6Rx+Oqm5+enAZVHwjL4W7cRlA9W99zYad+Ly05rYtetbgBTVBFWJ79Y6U23fRqnX8/8Bvg98uJmb7aRrmf0i4rYmYtqRbrfT7nnDulfSWkrvSzuA1Eb5yCjf3A9JO5BOCG/PsRcUhCDpCWCgLtEFvDkiVm4Q+zBw5iCx742IZl/S3L/cd0d66XpLVNBzqKS3R8TlLS67SuwhEfHLVmLbFN9fqP1MM4Xaqt9zxX2s5diCPDXVu2wrx1ZNbJVjuqXYfAF2EDXdvAOnRbXu5Vs+LsvG6pVdnt9OuoFRuL9WjG15e6n6u7CqpP35iPhe3cXkQo0uIvOd/G8DHwReUdCJxp2K9C9jLND/Wot/t3DHvL+G8gBSZyPfioLHH1Shm/e6i9+3UHduKbj47V9GS+usCu88q1nGa4BN8uDtEfHvMmnn2P4C2gFA6QJale1dt5ymvueauJbXuW45+5Na2Xw3Ir5fMO9bG02Pxu9J/kDj0MavzqkaX7esoVrnSvu2pN+SrksebjTfILHLAc9H7vhFqaO83YF7ilqpVEm322lbjxQMc9O3A4FdSXePj4mI20vGjiO9yHQ/4EXgy2UufDt4AiQiTilKf5Dl3hsR67YSWyZeqQfDKyPiX5JE6iTi3aRC0wejcXfQVWL3AqZGft4jN5N5N+mi7JMRcXfBelWNb6lQW/V7rriPtRxbkKfS+1irx1aOrXJMV4ndl3TxemtE/KlMTIlltnxclo2VtCUp37dFEz1stiF2X1rcXlUvnCumvVdEXDjYMVrmHNxKQUfpXZ4/AF5D6on1cxFxf/mcL3KzZUfgauCsiPh7M8toVsVzUeV1bpWkV5FqJV+b0/52tPiKilYLaK1q9Xtuxzor9bx7APCfpA6hzgb+EBFPNbUSiy7zrIjYv8XYH0TE5yqkXRi/uK1zyeWPBx6P3NO7Uk/k+5KubY5rdJNK0t9INW7/Unqn7A2kzpI2AW6IiC90It1up20M715JSb1+TQZ+S+reeVQTsf8PuBS4ktSl/6uaTHscqROC+vGbAOMKYpceaJ68zFf0tNdEnmZV3J4N40nPb43O/x+Ut/2qpNqgv3cwdiqwTP5/T1LPptsAh5BeJVG0XlXjPwJsmP8XqSe+uXm5W3fqe664j7UcW3Ufq3JsVTymW47N8T8nNeX8NumH6sutbqdmt1nF7X103qfPIPU6+5Emll8ltiPbawlIe0Pg/HxOOwNYq4nYv+fzyUak5lDnNpn2TNLzu0cB2wJb134KYt8JvGeA8e8mdYDR6vY4q8Pr/EZgtwHG7wZsUxB7KfB/ed1/CvS1sH475NgppNc9lOrZusr2rvg9V1rnfFzdlNPekPQ818JPhf3k3m7Elonv1jpX2bfzfNcDa+b/tyT1GPxZUuuFXxbE3lrz/zdIrUQAxtROa3e63U7bnxjeNYZKvc/dTeo8AF5u6lLY22SOncbLTYEW2VBR0DRG6bm1n0fE3+rG7wgcFhEHNYg9Ebg06qrMJf0n8I6IOKxR2g2W2+kawykRsWX+/3Tg+oj4SR6+KSIGfcFsxdhbIjcrk3QyqYvz75aJbVP8NGCriHhR0kGkk9A7SM/SfSUidhwkrtL3XHEfazm2IE+F+1iVY6sNx3RLsTl+GrBFRLwkaRnSDYttGsWU0ekaQ0m3AW+MiGckrUra595YcvlVYittL0nvJHXlf07d+HcDcyPizx1Mu8oLrf9OeuXA34C9gTdFRMP3/NXELjwP5uHC809d/JW8nO9g0drWiIhGz4j/g9RT8Zy68asBF0bEm8rmoy6+9O9GHm52nf8KfCjqegiVtB7w64J1XnjubzHtmcATpEcC/kp6dnmhaNzSpeXtXfF7bsc616a9cBJNNIEdYLlVzoOzImKdVmLLxHdrnavs23m+qf2/a5J+QHpu+/O5dntKwe9lbew/gO9HxHl5eJF9qJ3pdjttG/6dz6xfIXbnimm/tv6iGyAi/i7p+ILYbSLi0AFi/yCp4YuZNfgLdwUUPpvY4IJIpBq8RhZIWoPUzOJtpLuS/cZ2MFZKbdKfybE/r5m2dEFsO+Lnx8svYN0TODUiHgUul/S9BnEtf89ZlX2s5diK+whUO7aqHNNVYgFeiIiXAHJBqXSvplWOy6rHNOlZjWcAIr1mYsBeMzsQ2/L2yo4mNQGqdxWpZ8BBC4ZtSLvKC62Xj4iT8v/fl1TUS2+tpbVoL7+L9PrbqKCRp+/UbGZrLFVfSMnLfESp85xOqbTOpO19T/3IiLgnF7Ia0qIdwIysHY7ijlxmko7Nd5JuBi5SQKNxR1wtb++K33OldY6I8RXSHawAKtKraRrFrtIgtvD4rhLfrXWm4r7Nouu1C/CFHL+gxClxai5Y3U9qdnwZgKSVOpxut9PuecO6YBgvPzO2SdQ9QyRpJ16usRgo9qo836ui7iFWpQdhiyzfYFrRyWCZBtOKLsz2LJhepNEFUdHF0tHAJFKX7BdE7lFK6fmTuzoY+2NSs5q5pJduT8qxW1Gua/qq8a0Waqt8z1BtH6sSW2UfqXRsVTymW47NNtbL77MS8Jo8XKbGscpxWfWYru0Jrz/fCzv5aVT7VTG2yvaCagWVSmlHzTNxSs8KrhsRdxSk2a9KQedBFu3lt7bX36KCxkKSvgF8tb9wLGkF4CfRuJfVFSSNirpeFpU602l4c67ixW/VdV65wbRG51iAFUnNy2uvGPu/nyC9THxQFQtoLW/vmnlb+Z4rrXNN2h+OiF/VDI8EvhQRX2sQdkyDaTMKkpzMK2tH+704wLh2x3djnavs2wB/lXQ26RhbmVSrTb5eKXrW7iPAJ4HxpBZM/S1tNqH4d75Kut1O22IxaM/a6Q+p2dqRpBPCWFK7+mtLxt5B6iGyf/izpB68iuIuAnYfYPxuwCUFsVeR3t9VP/6NwN9K5nug58d2amKbveK5L2CjEnGjgJXrxi0LLNvh2LVITTdH1Ixbg3RBV2Z9W44nXbjfT7qgOalm/FuBizr1PVfcx1qOrbqP1Mzb0rGV561yTLcUC6zX6FMy7ZaPy1Zj83446KeDsZW2F+nZxlc8B0oqaPyr099VXs5eeT+9Ow9vSbpx1Sjmigafv5ZNu8qH9GzlZGBzUidLdwCHF8R8h/R89LI145YjvdrguxXW+YoOr+sJpJtxqhkn0jPFJw7R9v4GMLJmeAVSU7+ObO8q33Mb1/l00utX1gA2A24EfjAUaXfrM9TrXHXfzvMeAHyammedSdc67yyZh6Z/59uRbrfT7uVP1zMwJCuZChfHkV7eOo1UtTyiZOwapGZLvyM9M/ILYLkScRuSLmz6SO8N+gTp4dd/Aq8riN2W1ETlq6QLk72Ar5Gej9quZL5bvnDO8VUu2pv+kWxT7IfrhkeSnvEru84tx9NCobbq91xxH2s5th37SJ6/pWOrZtu2eky3HJvjqxTuhrxAWxPfckG+YmyrBdp2XDhXvUE2mVTDcnPNuIadH7TjU+U8WBPzNtKLuB8gNR0vmn9U3uaP5PWeTHpB9HfIHYMtjuucj+czgH8Dv8+fO0nP/S1fMu2qvx2tFMTbsr2b/Z7btc45Zv+c/3uA/+j0d92m76pq/JCtczv27bycKr9ZVa4Fq55/u5Z2L3+aeV5kSfYi6cQ5lvTM2N0RUeqFvRHxIKkXrzeRqrVPiRLdE0fEv4A3kGqFxufPVcDmEfHPgtgbSIUGkd6F9cH8/3YRcX2ZfAPbAesA15Duaj1AerlzWTsB75f0O6Wug1+X81TGKOAGSZtL2jWnP7kgph2xb5N0saQ1JG0KXEfjJpNti4/UHOgzuWlJv5GkAshgMZW+54r7WMuxNXai9X2k5WMra/mYrhgLcLakI5WMVXrX3bdLxlY5Lqse03+X9N7+AUmfBf4wBLGtbq8vAQ+RXnw+WdJk0k2TOXlaJ9Pu92Lkbs9rRJlASd+oPR9IWkHSr0umW+U8iKS3kF6b8HXScf1TSWs2iomI+RFxFGkf+2D+rBsRR8XLz1AXpTvk6xwRT0dE/+tn+vLnHRFxQETMK5l27bl/M5r87YjUff7nST0ingLsERGDnvtzTDu2d+33fCUlvucaldZZ6TUjnyQVVu4h/RaUad4I7fudbzrfVeKHep3btG9DtfPgTrT+O1/1/NvNtHtXt0umQ/EBbiGdOEeTainOB35XMvZyUg9zK5EupG+giaYDVLtTU+Uu/Rjg+6Rn5+4EDmhhu30cuA+4F9ihydiW7mK2Ibalu3ntiKfFZj1Vvuc27GNV7+hV2UdaPrYqHtMtx+b4KrWVLR+XVY9pqtXQdqV2N8ePzfvHG4CxTa5z1bR/RXp9zlRSLftPgRNKxlZq5ke18+ANtcc26QXsM0rGfoOaJrw0V5vTzXXuSk1Qjn0LcFvev04HLiF3md/h7d3y99yGdZ4BvD3/L+AzpHedDsV33ZXf+QHW+bNDsc5t2Lerngdb+p2vmm630+7VT9czMCQrCRMGGPf+krH71g2Pool3YuUd8vMM4fONed6qF79VLtprfyTPoLkfySo/sBuSalN+Qbp4PYH8fsKhiM/LaPrEX+V7bsM+ViW26k2Tlo+tisd0y7F53iqFu64VaPMyqhTkW/2BrlqgrXLhXDXtZUjP+NxI6hzr/2jiXbKtnA9yXMvn0Bw/Mv99M+mC/R3AqiVju1K4o8K5P8fXPv+1KU08/0X1344qBfFWbyhunLf1cnXjy54HW15nUq3Njvn/TfI+tjvlH0NYIn/ngRVq/j81/21lnZu9Lmp5387xVX6zqlwLVj3/di3tXv50PQNDvsLVXka6dwsxQ/58Y46tevG7b91wMxftVX4kq8RWvZtX9Q5oSz92Vb7nNuxjVWJb3kcGWFbLx2U7Pk1u7yqFu24WaKv8yHaldjfHt1xQqZp23bJGUnNhWGL+Khe/LZ0HgRtq/v8I6aLoK8A/gKOayPuQF+5aXee6ZbSrJqjZc//IAcZ9vlPbGzgiHwfnkZ5T36dm2k0trnOp38u8P11HulHybVKvj18m/XZ9sdPfdav5rvJdAxfUfS4EnuofHor9u9V9O8dW+c3at264mWvBquf+rqXdy5+uZ6CjK5e6Ee7/fxNSxxp35xNpw8498kFb+3k3qdfJdwHvaiIPVe+YtHyHv2YZlS66abJATIt3q6l+B7TK3bxKd0BzXJUfuyo1OV1rntjKPkZ6Lm466QJyO9L76P4NzCK9DLxR7BtIFyWzgBOp6fCHmoviFvJ/bxPzViqgtfNTf6wUzLtv3XAzP7JVYitvL1ovqFQtTJ9OqqFcFrg9H6P/UzK2yvmg1XPozTX/3wiMy/8vS8lOc+hOgbbSuT/P21JNEG049w+y3FLnFFqoSQJu7d9WpOezJwGfrN8HCpbR0u9lTnskqTZ9bv9ySC1Opnb6u24131W+a9LrPH5Leubtrfnvg5TonblmGVVq8avWkrblN4vmrwXb9ltJk9ex7Uy71z5dz0BHV67mzhmpe/7d8v/bAtcUxL4I/BE4mdQz3q+BefnvyU3kYUifb6RCYTjHtFwgpsLdaircAaXi3TzacAc0L6elu8atfM9t3MeajqVCwa5/P8nr+SbSHdA35/FbA/8oiL0amJi31edyHl6Tp91cEPuZQT6fBR4ru73rllnqx4rFoEBbF9d064dm17ldHyo2MRxgec0Upqfkv/9Feh/ZaEpc/OaYps8HVKzxy8fzysCqwKS6aTeXzHflAm2T61y59ivP20pNUKVzP+nZ04E+twLPd2p7168XqbfeS0nvf5xSEFv19/Lmgf7Pw0VpL5G/86T3Cn+a9Fu3ZR53V9nvt+b/lmrxB9i3m6olHWSZDc+DtKlypMW8VbrGGGB5XW2RtKR9up6Bjq7cogXDm+um3VwQ+0bgL8BhNePubiEPQ/p8IxUKw3m+lgvEVLhbTYU7oFS8m0fFO6AFyy68cG/le27jPtZ0LBUKdgPsJ9MH238Hib2lbnhn4F/A9iVinyM9r/aVAT5PlMh3lRYIXSvQUu1mT9drd2lDE8O65TVTO3wbqTD4u/5zSf0+2M60qVjjl/fFu/J+eRewRh6/HAUX7Xm+yjV3LaxzO2q/Wq0Jqlr79RDp3Zbr1X3GAw+UzHvTNUmkQs2WdeNGkW4wvlQQW/X38npybRWLvvd3RYrPwUv07zywNulccFzRfl0Tc3PN/63W4rdcS9pgmUXHZZVrwUrnfqrdPK5UOeJPMIrhbQNJF5DusKwtaZmIeCZPG90oMCJuzF0Kf0LSFaT3h0WzGYiISf3/S1olIh6LiN+UjD2vJnbviLiAdGFb1poRcUle1g2SxpaI2YH0HqUbI+L4nPZOEfGhErEjJK1MurumiJiT035a0vyi2MivKoiImZJ2As6RtB7p+2tkAqkL6S+SmnlNkfRsRFxVIs8A8yPiJeAZSf+OiLk5H89KKnyNgaSpg00CXl0UX/c9rxIRj9HE91y7j9WMK7uPvSKW4tcQjI6IWwEkzYmIq/Oybiq5j42o+f8LddPGFAVLWjHyKwQi4gpJ7yZ1H75KQehNwHkR8YouwiUdUpQuqUDyzfz/90kXNJdI2hb4MenYGczyEXFp/v8H+dULl0p6P8XnlW/l9AY6hkYMMK7eWcCfgId5+VhalvTezADObRD7I+C9pILFRaSbGFdL2prUUVGj12UcT3pH53XAIcDV+Tz2bwrOv3XelI9PACLiXEmvbRQg6TODTSKtS1m/IF1Q3AL8LZ+P5hakXeV8UOUcSkSMH2TSAuA/G8VKOoLUpH068CtJn4yI8/PkTwODnlOqrnOFcz+SvgLsBoyS9GfSDYwrgKNI+/3/NQivdO4nXTgvFxFTBsjXlQX5viEito2IlyR9hLTt/0C6UXUh6Xd4MAdTdz6I9MqkgyX9oiDPVX8v3xIRz+c0a7fRaOADBbFL7O98nvc+YD9Je1BwHqjR8jGdr1/7/4e0jXaWtFIevXdBfJXzYJVrwarn/irXGFV+pw2GfY3hW+s+ywGrk36oPt7EctYEzgb+3URMV55vBJ7g5WYWc6hphw5MK5n3EaQT8BWkO7Flm0zMpMW71VS4A1ozf9N383Jcy3dA83wt3TWmepPMrjRPpKbGhFfWdhbuY6Qfs2Xqxq0OvIbiZmcHAdsPELsucFJB7EbAavWx+e+rS+S7SguEW4AV68ZtTqrtfLQg9hpgm0GmzSqR75ZbP9Cl2t0S+SraRyvVDhcse1TB9JZrkahY41dxvarU5lRZ50rnfirUBFHx3F9xe99c839LNUkV02/p97Jimkvs73yFdW75mKZ6LWnVVjKtXgtWOvdT4RqDCr/T/uTt1O0MDPkKVzgBNBNLl55vpE2F4byspgvEgyxnGWD9gnnWJl+kDzCt2R649gC+1cT8Sw0yfjXgDSXif0Vu6jDAtNMbxFVtktmV5olUKNg1WOaQHJdVYqlw04UuFmjzfJV/4Gn+B7rlwnCet+Xnt6hYmK6bfw/SK12O7v8UzN/S+aBgmYXn0Kofqj231vI6U/HcT7Vn3iqd+ytu78rPg7YpH039XlZMa4n9ne/AtihzXdTys4153racB2nyWrAN5/4qN4+foGLlSK9/lDdWz5B0c0Rs1elYSTdFxNYDxRUtR9IbSVX458TLVfh3R8T6LeZ7YV66EW8Dq90PJE2PiNfXTCvc5pJuiYgtaoZ3JtUcvh/4eaN4Sc8xePPET0fESk2uS9V9bEiOyyqxkt5aN2oy6eI5gPdExM+aTLvlbdZqrKQ1Sc1ptomI15SYf2/g8ni5CT6SVifVarw7Ir7XIPYg0kXMdXWxY0jP0H6kIO2HgHcCj9dPIt1cW7NB7EakC5BHatOOiNmSXh0RDzVKuybmBNIF3M7AL4H3kGrjP1wmfkki6a/AZ6KmWaSkUaQblP8VESO7lbdGJF0P7BwRz0gaEbl5o6QVgSsW198uSTNJTXxFOof8R0Q8KGk54OqI2LKL2bPFiKS1Sc36HyJ1HLZuybi2nAdrYkv97lQ991dMu62/071ouD9jOJCThii268831ih8TqPD8TawSs/aQVeft3tFWAsxtYbquGw5NgZ4lkXS3/KPVSs/NlW2WUuxEfEA8F5JN5Wc/4IBRl+c13nQQmGOPb1BbJkLg5af34qIOwZKG9i6yYuhHSJic0lTI+Jrko4h9Yo6HFV5bq2bqjzz1jVR4XlQ6y3R2rON7TwP9iv1u9OGc3+VtNv9O91zeq5gGBE/H6LYfeqGR+Q7JkF6MLcorQXATyT9jnSHv0rBsMqFczvibWBf7r9hELkDmpramFNLxH8XeD3pOcN+D5N6FfxyQeyHgEdrR/TfSSQ95N+sSvvIEB6XbYvNqhTuulUYhi4USpuNbVQrFxEHdTLtGs/mv8/k2tZHSa91GXbyxedg0/4xlHlpRn+hcIDxj5Ca6C9R8g3ku7udD1v8RMRFpEeTqujWb1Y3bx67cqMJPdeUtJu60XTMlizdbPbrfax5kj7WhsLlkKuS727FVtVK2pK+TOp9dRdevtv8y4gouvFiZrbY6dY5eEk79/cyFwyHULeeo7IlR9Xv2fuYWfvkrtEPA3Yktdr4O3B8RDzX1YyZmZl1QM81Je2ybjYdsyVDN5v9eh8zW9QppB6hj83DB5Gaeb+3azkyMzPrENcYmpmZDUDS7RGxSdE4MzOz4WBE8SxmZmY96SZJ2/cPSNqO9OJ3MzOzYcdNSc3MzGpIupX0TOFo4BpJ9+bh9YAZ3cybmZlZp7gpqZmZWQ1J6zWaHhH3DFVezMzMhooLhmZmZmZmZj3OzxiamZmZmZn1OBcMzczMzMzMepwLhmZmtsSTNF7StG7nw8zMbEnlgqGZmZmZmVmPc8HQzMyGi1GSTpM0XdI5kpaRtLukGZImSzpW0h8BJH1V0m8kXSvpX5I+0u3Mm5mZdZMLhmZmNlxsBPw8Il4PzAU+A/wC2C0itgHG1c2/ObAL8CbgaElrDmVmzczMFicuGJqZ2XAxKyL+kf//LTABuCsi7s7jzqib//yIeDYiHgGuALYdonyamZktdlwwNDOz4aL+xbwrNjm/X+xrZmY9ywVDMzMbLtaV9Kb8/0HA5cAGksbncfvXzb+PpKUlrQrsBNw4JLk0MzNbDI3qdgbMzMza5A7g45JOBm4HjgCmApdKeppXFvymkpqQrgZ8IyIeGMrMmpmZLU5cMDQzsyVeRMwENq4fL+mKiNhYkoCfAZNqJk+NiIOHKItmZmaLNTclNTOz4ewjkqYAt5GeOfxFd7NjZma2eFKEn7U3MzMzMzPrZa4xNDMzMzMz63EuGJqZmZmZmfU4FwzNzMzMzMx6nAuGZmZmZmZmPc4FQzMzMzMzsx73/wG4LKF8nqTtqwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "regex_prepend_site = \"prepend|baseline|all\"\n",
    "data = df[df['bgp_policy'].str.contains(regex_prepend_site)].copy()\n",
    "# data = data[data['num_prepend']>=0]\n",
    "data['num_prepend'] = data['num_prepend'].astype(str)\n",
    "data['bgp'] = data['num_prepend']+\"x\"+ data['bgp_policy_location']\n",
    "data.loc[data['bgp'].str.contains('0xbaseline'), 'bgp'] = 'baseline'\n",
    "data = data.groupby(['site','bgp'])['count'].sum().unstack().T.fillna(0)\n",
    "data = pd.concat([data.tail(1),data])\n",
    "data = data.drop_duplicates(keep=\"first\")\n",
    "columns_name = data.columns.get_level_values(0)\n",
    "\n",
    "for col in columns_name:\n",
    "    \n",
    "    fig = plt.figure(figsize=(14, 4))\n",
    "    ax = plt.subplot2grid((1,1), (0,0))\n",
    "    \n",
    "    data_site = data.loc[:,col].sort_values()\n",
    "#     data_site = data.loc[:,col] \n",
    "\n",
    "    data_site.plot(ax=ax,\n",
    "          kind='bar', \n",
    "          stacked=True,\n",
    "         );\n",
    "    df_site = data_site.reset_index()\n",
    "    reference_value = data_site.reset_index()[df_site.bgp==\"baseline\"].iloc[0,1]\n",
    "    print (reference_value)\n",
    "\n",
    "   # label = \"[{}%] BASELINE\".format(int(reference_value))\n",
    "   # ax.annotate(label,xy=(25, reference_value), ha='right',color='black',va='bottom')\n",
    "    ax.axhline(y=reference_value, xmin=-1, xmax=1.0, color='grey', linestyle='dotted')\n",
    "    \n",
    "    ax.set_ylim(ymax=3500000, ymin=0);\n",
    "    plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5));\n",
    "#     ax.set_yticklabels(['{:.0f}%'.format(x*1) for x in plt.gca().get_yticks()]);\n",
    "    ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()])\n",
    "\n",
    "    ax.set_title(\"Catchment - Load on Anycast Service - {}\".format(col));  \n",
    "    ax.set_ylabel('# catchment: load per site');\n",
    "    title = \"<h2 style=\\\"color:#069\\\" >How prepending affects the load of site: {} </h2>\".format(col.upper())\n",
    "    display(HTML(title))\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-02-06T15:42:29.391947Z",
     "start_time": "2020-02-06T15:42:29.348720Z"
    }
   },
   "source": [
    "## same values, another visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:46:34.867577Z",
     "start_time": "2020-03-23T08:46:30.825247Z"
    }
   },
   "outputs": [],
   "source": [
    "regex_prepend_site = \"prepend|negative|baseline|all\"\n",
    "data = df[df['bgp_policy'].str.contains(regex_prepend_site)].copy()\n",
    "data['num_prepend'] = data['num_prepend'].astype(str)\n",
    "data['bgp'] = data['num_prepend']+\"x\"+ data['bgp_policy_location']\n",
    "data.loc[data['bgp'].str.contains('0xbaseline'), 'bgp'] = 'baseline'\n",
    "data = data.groupby(['site','bgp'])['count'].sum().unstack().T.fillna(0)\n",
    "data = pd.concat([data.tail(1),data])\n",
    "data = data.drop_duplicates(keep=\"first\")\n",
    "\n",
    "#data.drop('unknown',1,inplace=True)    \n",
    "columns_name = data.columns.get_level_values(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['CDG', 'LHR', 'MIA', 'POA', 'SYD'], dtype='object', name='site')\n"
     ]
    }
   ],
   "source": [
    "print (columns_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:46:34.867577Z",
     "start_time": "2020-03-23T08:46:30.825247Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for site in columns_name:\n",
    "    baseline  = data.iloc[[0]].values[0]\n",
    "    data_diff = data.iloc[1:].apply(lambda x: (baseline-x), axis=1)  \n",
    "    data_diff[site].sort_values().plot(kind=\"bar\",ax=ax, stacked=False,color=\"green\")\n",
    "\n",
    "    (fig,ax) = init_fig(14,4)\n",
    "    xlabels = ax.get_xticklabels()\n",
    "    ax.set_xticklabels(xlabels,rotation=90);\n",
    "    ax.set_ylim(ymax=3500000,ymin=-3500000);\n",
    "    ax.axhline(y=0, xmin=-1, xmax=1.0, color=\"black\")\n",
    "    ax.yaxis.grid(color='grey', linestyle='dotted', linewidth=0.5)\n",
    "    ax.set_title(\"Catchment - Load on Anycast Service - {}\".format(site)); \n",
    "    ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()]); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Leandro's Idea\n",
    "## Anycast Service maximum and minimum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:46:47.465515Z",
     "start_time": "2020-03-23T08:46:47.430272Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CDG</th>\n",
       "      <th>LHR</th>\n",
       "      <th>MIA</th>\n",
       "      <th>POA</th>\n",
       "      <th>SYD</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bgp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>baseline</th>\n",
       "      <td>639643.0</td>\n",
       "      <td>877247.0</td>\n",
       "      <td>265890.0</td>\n",
       "      <td>497424.0</td>\n",
       "      <td>786285.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-1xCDG</th>\n",
       "      <td>2283839.0</td>\n",
       "      <td>298493.0</td>\n",
       "      <td>151095.0</td>\n",
       "      <td>94774.0</td>\n",
       "      <td>266769.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-1xLHR</th>\n",
       "      <td>36583.0</td>\n",
       "      <td>2404589.0</td>\n",
       "      <td>145446.0</td>\n",
       "      <td>80510.0</td>\n",
       "      <td>398576.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-1xMIA</th>\n",
       "      <td>222414.0</td>\n",
       "      <td>523033.0</td>\n",
       "      <td>1722471.0</td>\n",
       "      <td>308155.0</td>\n",
       "      <td>296053.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-1xPOA</th>\n",
       "      <td>165065.0</td>\n",
       "      <td>336972.0</td>\n",
       "      <td>146300.0</td>\n",
       "      <td>1657368.0</td>\n",
       "      <td>775340.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                CDG        LHR        MIA        POA       SYD\n",
       "bgp                                                           \n",
       "baseline   639643.0   877247.0   265890.0   497424.0  786285.0\n",
       "-1xCDG    2283839.0   298493.0   151095.0    94774.0  266769.0\n",
       "-1xLHR      36583.0  2404589.0   145446.0    80510.0  398576.0\n",
       "-1xMIA     222414.0   523033.0  1722471.0   308155.0  296053.0\n",
       "-1xPOA     165065.0   336972.0   146300.0  1657368.0  775340.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regex_prepend_site = \"prepend|baseline|all\"\n",
    "data = df[df['bgp_policy'].str.contains(regex_prepend_site)].copy()\n",
    "# data = data[data['num_prepend']>=0]\n",
    "data['num_prepend'] = data['num_prepend'].astype(str)\n",
    "data['bgp'] = data['num_prepend']+\"x\"+ data['bgp_policy_location']\n",
    "data.loc[data['bgp'].str.contains('0xbaseline'), 'bgp'] = 'baseline'\n",
    "data = data.groupby(['site','bgp'])['count'].sum().unstack().T.fillna(0)\n",
    "data = pd.concat([data.tail(1),data])\n",
    "data = data.drop_duplicates(keep=\"first\")\n",
    "\n",
    "# fix column names\n",
    "data.columns=data.columns.get_level_values(0)\n",
    "data.columns = data.columns.to_list()\n",
    "df_prepend = data\n",
    "df_prepend.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:46:49.822578Z",
     "start_time": "2020-03-23T08:46:49.793659Z"
    }
   },
   "outputs": [],
   "source": [
    "data = pd.DataFrame()\n",
    "regex_prepend_site = \"prepend|baseline|with|all\"\n",
    "data = df[df['bgp_policy'].str.contains(regex_prepend_site)].copy()\n",
    "\n",
    "data['num_prepend'] = data['num_prepend'].astype(str)\n",
    "data['bgp'] = data['num_prepend']+\"x\"+ data['bgp_policy_location']\n",
    "data.loc[data['bgp'].str.contains('0xbaseline'), 'bgp'] = 'baseline'\n",
    "data = data.groupby(['site','bgp'])['count'].sum().unstack().T.fillna(0)\n",
    "data.columns = data.columns.get_level_values(0).tolist()\n",
    "data = pd.concat([data.tail(1),data])\n",
    "data = data.drop_duplicates(keep=\"first\")\n",
    "data.to_csv(\"prepend+withdraw-dataframe.csv\",sep=\";\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Extract MAX/MIN/BASELINE from prepend dataframe for each node"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:47:19.678475Z",
     "start_time": "2020-03-23T08:47:19.666170Z"
    }
   },
   "outputs": [],
   "source": [
    "# get max value per line\n",
    "max_policy_label = data.T.idxmax(axis=1)\n",
    "max_policy_value=data.T.max(axis=1)\n",
    "\n",
    "# get min value per line\n",
    "min_policy_label = data.T.idxmin(axis=1)\n",
    "min_policy_value=data.T.min(axis=1)\n",
    "\n",
    "# get baseline values\n",
    "df_baseline = data.iloc[0,:]\n",
    "\n",
    "# build dataframe\n",
    "df_result = pd.concat([max_policy_value,\n",
    "                       min_policy_value,\n",
    "                       df_baseline,max_policy_label,\n",
    "                       min_policy_label],\n",
    "                       axis=1\n",
    "                     ) \n",
    "df_result.columns=['max','min','baseline','max_label','min_label']\n",
    "# remove nodes\n",
    "df_result = df_result[df_result.index!=\"unknown\"]\n",
    "df_result = df_result[df_result.index!=\"HND\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:47:22.367597Z",
     "start_time": "2020-03-23T08:47:22.175264Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>baseline</th>\n",
       "      <th>max_label</th>\n",
       "      <th>min_label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CDG</th>\n",
       "      <td>2390038.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>639643.0</td>\n",
       "      <td>-3xCDG</td>\n",
       "      <td>5xCDG</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LHR</th>\n",
       "      <td>2559036.0</td>\n",
       "      <td>145556.0</td>\n",
       "      <td>877247.0</td>\n",
       "      <td>-5xLHR</td>\n",
       "      <td>5xLHR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MIA</th>\n",
       "      <td>1987171.0</td>\n",
       "      <td>118773.0</td>\n",
       "      <td>265890.0</td>\n",
       "      <td>-4xMIA</td>\n",
       "      <td>5xMIA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>POA</th>\n",
       "      <td>1987000.0</td>\n",
       "      <td>71493.0</td>\n",
       "      <td>497424.0</td>\n",
       "      <td>-5xPOA</td>\n",
       "      <td>-5xLHR</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SYD</th>\n",
       "      <td>2196873.0</td>\n",
       "      <td>175198.0</td>\n",
       "      <td>786285.0</td>\n",
       "      <td>-5xSYD</td>\n",
       "      <td>-5xMIA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           max       min  baseline max_label min_label\n",
       "CDG  2390038.0       0.0  639643.0    -3xCDG     5xCDG\n",
       "LHR  2559036.0  145556.0  877247.0    -5xLHR     5xLHR\n",
       "MIA  1987171.0  118773.0  265890.0    -4xMIA     5xMIA\n",
       "POA  1987000.0   71493.0  497424.0    -5xPOA    -5xLHR\n",
       "SYD  2196873.0  175198.0  786285.0    -5xSYD    -5xMIA"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(6, 4))\n",
    "ax = plt.subplot(111)   \n",
    "ax = plt.subplot2grid((1,1), (0,0))\n",
    "\n",
    "ax.spines['bottom'].set_color('0.5')\n",
    "ax.spines['top'].set_color('0.5')\n",
    "ax.spines['right'].set_color('0.5')\n",
    "ax.spines['left'].set_color('0.5')\n",
    "fig.tight_layout();\n",
    "plt.style.use('default')\n",
    "\n",
    "df_result[['max','min','baseline']].plot(marker='o',ax=ax)\n",
    "ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()])\n",
    "\n",
    "df_result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:47:37.868830Z",
     "start_time": "2020-03-23T08:47:37.687916Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_result['max_diff'] = (df_result['max'] - df_result['baseline'])   + df_result['baseline']\n",
    "df_result['min_diff'] = (df_result['min'] - df_result['baseline'] ) - df_result['baseline']\n",
    "fig = plt.figure(figsize=(6, 4))\n",
    "ax = plt.subplot2grid((1,1), (0,0))\n",
    "df_result[['max_diff','min_diff']].plot(kind='area',ax=ax,alpha=0.8)\n",
    "df_result[['min_diff']].plot(kind='line',marker=\".\",\n",
    "                             markersize=5,\n",
    "                             color=\"black\",\n",
    "                              linewidth=0.2,\n",
    "                             ax=ax,legend=[])\n",
    "df_result[['max_diff']].plot(kind='line',marker=\".\",\n",
    "                             markersize=5,\n",
    "                             color=\"black\",\n",
    "                              linewidth=0.2,\n",
    "                             ax=ax,legend=[])\n",
    "ax.set_ylim(ymax=4000000, ymin=-4000000);\n",
    "ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()]);\n",
    "ax.set_ylabel('# catchment: nets (/24) per site');\n",
    "# ax2 = ax.twinx()\n",
    "# ax.get_yticks().tolist()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:47:46.585099Z",
     "start_time": "2020-03-23T08:47:46.576524Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "786285.0"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data_site.iloc[0:1][0]\n",
    "# data_site[data_site.iloc[0]==\"baseline\"]\n",
    "\n",
    "df_site = data_site.reset_index()\n",
    "reference_value = data_site.reset_index()[df_site.bgp==\"baseline\"].iloc[0,1]\n",
    "reference_value"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-12-17T09:46:15.968933Z",
     "start_time": "2019-12-17T09:46:15.961863Z"
    }
   },
   "source": [
    "---\n",
    "---\n",
    "<h1 align=\"center\">Effect of prepeding on each site</h1>\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:48:07.867741Z",
     "start_time": "2020-03-23T08:48:07.863259Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CDG', 'LHR', 'MIA', 'POA', 'SYD']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "available_nodes = df_prepend.columns.to_list()\n",
    "#available_nodes.remove('unknown')\n",
    "#available_nodes.remove('HND')\n",
    "available_nodes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>site</th>\n",
       "      <th>bgp</th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
       "      <th>time</th>\n",
       "      <th>active_nodes</th>\n",
       "      <th>bgp_policy</th>\n",
       "      <th>bgp_policy_location</th>\n",
       "      <th>num_prepend</th>\n",
       "      <th>community</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [site, bgp, count, percent, time, active_nodes, bgp_policy, bgp_policy_location, num_prepend, community]\n",
       "Index: []"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_all[df_all['site']=='jp-hnd-anycast01']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:48:53.106473Z",
     "start_time": "2020-03-23T08:48:51.796970Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CDG\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LHR\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MIA\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "POA\n"
     ]
    },
    {
     "data": {
      "image/png": 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kEJohS/chSqWS+fr6ssaNG7O8vDx9vR07djAAbOrUqSbxGCr6dzh16lQGgG3evNkkJt023rNnDwPA/vzzT6PxTZo0YR06dCh2nYqqli0cAFCnTh0MGTIEK1asQGJiYoXN9+2339a/FolEeOGFF8AYw4gRI/Tl7u7uCAsLw507d0ymHzp0qFEnvz59+iAgIAC7du0CAFy8eBE3b97EwIEDkZaWhtTUVKSmpiInJwevvPIKjhw5YtKc/N5771kU+65du9CyZUujwy4uLi549913ER8fjytXrli2EQxs2rQJHMdh2rRpJuOs6fxUEevdvn17pKWlWdTb293dHadOnbK6BSwtLQ1isdjsaaYHDhyAQqFAjx49ip3+2rVrGDVqFNq0aWPyCzw2NhaXL1/GvHnzLIrFw8MDAJCammpRfXPbq+hn1NHRUf/6yZMnyMjIQPv27c0eaurcuTPq1q2rH27SpAnc3Nz089RoNNizZw+ioqIQHBysr9egQQN069at1Hg3bNiA9u3bw8PDQ/95SE1NRefOnaHRaPQtiLt27YJYLDbqICkSiTBmzJhSl2Ho3XffNeo0+f7770MsFuv/Nnmex6BBg7B9+3ZkZWXp6/32229o27ZtsS0ShnJycuDj4wMfHx/Uq1cPkydPRps2bfQtPrr5ltYR2NXV1ehzrlarsW7dOvTv31//d/fyyy/D19e33K0clnxuitq3bx/S09MxYMAAo/dOJBKhVatWOHjwoL6u4WcuPz8fqampaN26NQDoP3eCIGDr1q3o3bs3XnjhBZPlFf2ueffdd43K2rdvD41Gg7t371q0zps2bcK+ffuwd+9erFq1CvXr18ebb76pb1HUbXtz3wMdO3bUv8c+Pj5YunSpSZ2wsDD4+PggJCQE//vf/1CvXj3s3LnT5BCaOaXtQ86ePYuUlBSMHDkSDg4O+nqRkZEIDw8321pZ2raIiIjA66+/bjJOt407d+6MwMBAo8/av//+i0uXLlnV8lctz1LRmTJlCn755RfMnTsXixcvrpB5Gn5xAoBcLoeDg4NJ87hcLjd7DDI0NNRomOM41KtXT9/EePPmTQAosTk4IyNDv7MBYNEXHQDcvXvXbPNfgwYN9OOtPW349u3bCAwMhKenp1XTFVWW9S76XujGPXnyBG5ubiUub/78+Rg2bBiCgoLQvHlz9OzZE0OHDkWdOnXKugrYuXMnXnjhBfj5+Zkdn5SUhMjISMjlcmzcuBEikUg/LjMzE5MmTcKECRMsOuYLQN/cbElip+tbY8jDw8OojwKgbSb+4osvcPHiRaNTNc0to+j2LzrPR48eIS8vz+QzD2i/cHVfkMW5efMmLl26ZBK3TkpKCgDt5zYgIMDky9/aPhVF43RxcUFAQIBR8//QoUMxb948bNmyBUOHDsX169dx7tw5LF++3KJlODg44I8//gAAfR+EmjVr6sfrdiSGCY05WVlZRjudvXv34tGjR2jZsiVu3bqlL+/UqRN+//13zJs3r0xnHlj6uSlK9/es65tQlOHf5+PHjzFjxgysXbtW/57qZGRkANB+ljIzMy3+firpu8ESL730ktF3ep8+fRAaGooxY8bg3Llz+m2fnZ1tMu3333+PrKwsJCcnF7uz3bRpE9zc3CCRSFCzZk2jxL00pe1DdEmVuc9/eHg4jh49avGyAO13/JtvvlliHV0yvmzZMuTm5sLJyQm//fYbHBwc0LdvX4uXVa0Tjjp16mDw4MFYsWIFPv30U5PxxX1Rl9QhynAnUVIZAKPjj5bS/YpfsGCB0elXhop+sRr+QqiuyrLe5dnu/fr1Q/v27bFlyxbs3bsXCxYswLx587B58+YSWyi8vLygVqtNvvAB7S/t4cOHm50uIyMDPXr0QHp6Ov7++28EBgYajf/yyy+hVCrRv39//RfH/fv3AWi/JOPj4xEYGGjUAVX35WmuL0hRxW0rQ3///TdeffVVvPTSS/juu+8QEBAAiUSCVatWme18WJGfe3MEQUCXLl3wySefmB1fv379ClmONRo2bIjmzZvr+5X8+uuvkEqlRsf2SyISiYrtcAwA9erVg1gsNrl+gyGFQoHr168b/dLX/bIsLo7Dhw+jU6dOFsVYNN6y0P09//LLL/oOl4YM+zj169cPx48fx4QJE9C0aVP96ajdu3cv84X1Kvqz6eLiglatWmHbtm3IycmBXC5HQEAA/v33X5O6uh91holqUUUTmqfB0KFDsWDBAmzduhUDBgzAmjVr9J2XLVWtEw5A28rx66+/mm2m1mW9RTvRWNrsVha6zF+HMYZbt26hSZMmAKDPdN3c3Er8YiqLWrVq4fr16ybl165d04+3Vt26dbFnzx48fvy4XK0ctlrvkn79BwQEYOTIkRg5ciRSUlLQrFkzzJo1q8SEIzw8HIC2N7nuPQO0zYcJCQmIjIw0mSY/Px+9e/fGjRs38Ndff+kvCmYoISEBT548QaNGjUzGzZ49G7Nnz8aFCxeMkrG4uDh4e3sX2wJgrU2bNsHBwQF79uyBTCbTl69atapM8/Px8YGjo6PJZx6A2c9hUXXr1kV2dnapn4datWph//79yM7ONkpKLVmGoZs3bxrtlLOzs5GYmIiePXsa1Rs6dCjGjx+PxMRErFmzBpGRkUYtb+Xh7OyMTp064cCBA7h7967Zv8n169dDoVCgV69eALSHabZt24b+/fujT58+JvU/+OAD/Pbbb2VKOMpK9/fs6+tb4vv35MkT7N+/HzNmzMDUqVP15UU/Mz4+PnBzczO7g68sarUaAPRnZURGRuLHH3/E6dOn0bJly0qLo7R9iO4zc/36dZMWpuvXr1v9PV+3bl2Ltnvjxo3x/PPP47fffkPNmjWRkJBg9bWwqm0fDp26deti8ODB+P7775GUlGQ0zs3NDd7e3iZnk3z33Xc2i+fnn382ai7duHEjEhMT9Tu55s2bo27duvjyyy/NNteV59Sunj174vTp0zhx4oS+LCcnBytWrEDt2rXN7ghL8+abb4IxZnR2iI41vyZstd7Ozs4mCaVGo9E31er4+voiMDDQ7BUfDbVp0wYATE753bVrF/z8/EyOL2s0GvTv3x8nTpzAhg0b9NMX9cEHH2DLli1GD91pj9HR0diyZYvJobNz584VO7+yEIlE4DjOqIUvPj6+zFdqFYlE6NatG7Zu3Wp0EbOrV6+anOlhTr9+/XDixAmzddPT0/U7gJ49e0KtVhtdWVOj0Vj9ZbdixQqjU16XLVsGtVptkoAOGDAAHMdh7NixuHPnTpnPTinOlClTwBhDdHS00ZkHgDbJ/OSTTxAQEKA/42rLli3IycnBqFGj0KdPH5NHr169sGnTplI/2xWpW7ducHNzw+zZs82eRqz7e9a1RBT9rih6KwWe5xEVFYU//vjD7On2FdWqVpzHjx/j+PHj8Pf3h6+vLwDgk08+gZOTE2JiYpCcnFxpMZW2D3nhhRfg6+uL5cuXG73nf/75J65evWr2R1FJ3nzzTfzzzz9mzywruo5DhgzB3r17sWjRInh5eZX4482cat/CAQD/93//h19++QXXr183+QX59ttvY+7cuXj77bfxwgsv4MiRI6Vedro8PD098eKLL2L48OFITk7GokWLUK9ePf3prDzP48cff0SPHj3QqFEjDB8+HDVq1MCDBw9w8OBBuLm56Y8BW+vTTz/F77//jh49euCDDz6Ap6cnVq9ejbi4OGzatKlMx3g7deqEIUOG4JtvvsHNmzf1zaB///03OnXqZPGpaLZa7+bNm+Ovv/7CV199hcDAQISEhCAsLAw1a9ZEnz59EBERARcXF/z11184c+ZMsddP0alTpw4aN26Mv/76CzExMfrynTt3okePHiYtKh999BG2b9+O3r174/Hjx/j111+Nxut2Vs2aNTM51VbXJNuoUSOTK6WmpKTg0qVLGDVqlDWbo0SRkZH46quv0L17dwwcOBApKSlYunQp6tWrV2ITf0lmzJiB3bt3o3379hg5ciTUajW+/fZbNGrUqNR5TpgwAdu3b0evXr0QHR2N5s2bIycnB5cvX8bGjRsRHx8Pb29v9O7dG+3atcOnn36K+Ph4NGzYEJs3bzZJKkujVCrxyiuvoF+/frh+/Tq+++47vPjii3j11VeN6umuM7Nhwwa4u7tb/QVempdeeglffvklxo8fjyZNmiA6OhoBAQG4du0afvjhBwiCgF27dulbVX777Td4eXmZvfIoALz66qv44YcfsHPnTrzxxhsVGmtx3NzcsGzZMgwZMgTNmjXDW2+9BR8fHyQkJGDnzp1o164dlixZAjc3N7z00kuYP38+VCoVatSogb1795q9HsXs2bOxd+9edOjQAe+++y4aNGiAxMREbNiwAUePHoW7u3uFxb9x40a4uLiAMYaHDx9i5cqVePLkCZYvX67/Gw8NDcWaNWswYMAAhIWF6a80yhhDXFwc1qxZA57njfroVITS9iESiQTz5s3D8OHD0aFDBwwYMADJyclYvHgxateujQ8//NCq5U2YMAEbN25E3759ERMTg+bNm+Px48fYvn07li9fjoiICH3dgQMH4pNPPsGWLVvw/vvvW3/lWovPZ6kCSrrKnO4Ur6JXGs3NzWUjRoxgcrmcubq6sn79+rGUlJRiT4steoW44q7iWPQUXN0pTb///jubNGkS8/X1ZY6OjiwyMtLolEGdCxcusDfeeIN5eXkxmUzGatWqxfr168f2799fakwluX37NuvTpw9zd3dnDg4OrGXLlmzHjh0m9WDhabGMaU9BXLBgAQsPD2dSqZT5+PiwHj16sHPnzunrlHZabEWst+79N7y64rVr19hLL73EHB0dGQA2bNgwplAo2IQJE1hERARzdXVlzs7OLCIign333XcWre9XX33FXFxc9Ke7paenM7FYzNavX29St0OHDmZPs9M9SlLSabHLli1jTk5ORqfHFae4z6i5U+JWrlzJQkNDmUwmY+Hh4WzVqlVm6xX3+TB3tdDDhw+z5s2bM6lUyurUqcOWL19u8ZVGs7Ky2KRJk1i9evWYVCpl3t7erG3btuzLL780OoU1LS2NDRkyhLm5uTG5XM6GDBnCLly4YNVpsYcPH2bvvvsu8/DwYC4uLmzQoEEsLS3N7DS6UxENT5MvjbVXfD1y5Ah77bXXmLe3N5NIJCw4OJi98847LD4+Xl8nOTmZicViNmTIkGLnk5uby5ycnNjrr79ebJ3iTou19HNTnIMHD7Ju3boxuVzOHBwcWN26dVl0dDQ7e/asvs79+/fZ66+/ztzd3ZlcLmd9+/ZlDx8+NPkOZoyxu3fvsqFDhzIfHx8mk8lYnTp12KhRo/RX8y1uH1Dc901x62b4cHZ2Zm3atDH7982Y9oqj77//PqtXrx5zcHBgjo6OLDw8nL333nvs4sWLZudvzXd20XWwdB+ybt069vzzzzOZTMY8PT3ZoEGD2P37983GY8jc32FaWhobPXo0q1GjBpNKpaxmzZps2LBhLDU11WS5PXv2LPNVUznGbNxWRUg1k5GRgTp16mD+/PkYMWIE1q9fj0GDBiE1NdWqDlLl8fzzz6Njx474+uuvK2V5xNi2bdsQFRWFI0eOoH379vYOhzwDDh06hE6dOmHDhg1m++pUFa+//jouX75sdLaUpap9Hw5CKppcLscnn3yCBQsWQBAEuLu745tvvqm0ZGP37t24efMmJk2aVCnLI6Z++OEH1KlTp9RbCRDyLElMTMTOnTsxZMiQMk3/VPThIKSiTZw4ERMnTgSgvY9GZerevbvZjrXE9tauXYtLly5h586dWLx4sd3v7ElIVRAXF4djx47hxx9/hEQi0XdothYlHIQQUmDAgAFwcXHBiBEjMHLkSHuHQ0iVcPjwYQwfPhzBwcFYvXq12WuvWMLqQyoPHjzA4MGD9XebfO6550q8ayigPTbVrFkz/d0gi969NTo6GhzHmb2E96hRo4zuAkoIIbbCGENWVhZ+/PHHEm/QR0hF69ixIxhjVbL/RnR0NBhjuHv3brnisyrhePLkCdq1aweJRII///wTV65cwcKFC0u8KE5cXBwiIyPRqVMnXLx4EePGjcPbb79tcu59UFAQ1q5da3Reen5+PtasWWP2EsuEEEIIqT6sSuHnzZuHoKAgoysTlnafj+XLlyMkJER//YMGDRrg6NGj+Prrr41u8NSsWTPcvn0bmzdv1t/qdvPmzQgODrb4XiKEEEIIqZqsSji2b9+Obt26oW/fvjh8+DBq1KiBkSNH6i9IYs6JEydMLn3brVs3jBs3zqRuTEwMVq1apU84fvrpJwwfPhyHDh0qMS6FQmF0xTVBEPD48WN4eXlRpy9CCCHECrpDi4GBgWW6YGRJM7aYTCZjMpmMTZo0iZ0/f559//33zMHBgcXGxhY7TWhoKJs9e7ZR2c6dOxkA/YWVhg0bxl577TWWkpLCZDIZi4+PZ/Hx8czBwYE9evSIvfbaayYXKjFk7mIu9KAHPehBD3rQo+yPe/fuWZMilMqqFg5BEPDCCy9g9uzZALQXJ/r333+xfPnyEm87bikfHx9ERkYiNjYWjDFERkZadMe9SZMmYfz48frhjIwMBAcH4969e6XexpwQUrnOnTsHQHtZekJI1ZOZmYmgoCCTO2aXl1UJR0BAgMkNwBo0aIBNmzYVO42/v7/JjW+Sk5Ph5uZm9rbrMTEx+vtzLF261KK4ZDKZ0d0vddzc3CjhIKSK0d3xlf42CanaKrpLglUHZ9q1a2dyS+gbN26UeDvcNm3aYP/+/UZl+/btK/YumN27d4dSqYRKpTLqVEoIIYSQ6suqhOPDDz/EyZMnMXv2bNy6dQtr1qzBihUrjO5oOWnSJAwdOlQ//N577+HOnTv45JNPcO3aNXz33XdYv359sXe0E4lEuHr1Kq5cuaK/tTEhhBBCqjerEo4WLVpgy5Yt+P3339G4cWN8/vnnWLRokf6sEkB7rfWEhAT9cEhICHbu3Il9+/YhIiICCxcuxI8//lhi6wUdCiGEEEKeLk/l3WIzMzMhl8uRkZFBiQshVcyZM2cAaH/AEFJWjDGo1WpoNBp7h1LtiEQiiMXiYvto2GofStfuJYQQUq0olUokJiYiNzfX3qFUW05OTggICIBUKq20ZVLCQQghpNoQBAFxcXEQiUQIDAyEVCqlCzxagTEGpVKJR48eIS4uDqGhoRV7ca8SUMJBCCGk2lAqlRAEAUFBQXBycrJ3ONWSo6MjJBIJ7t69C6VSCQcHh0pZbuWkNYQQQkgFqqxf5U8re2w/escIIYQQYnOUcBBCCCHE5ijhIIQQQojNUcJBCCGEVJKkpCSMGTMGderUgUwmQ1BQEHr37q2/BUjt2rXBcRw4joOjoyNq166Nfv364cCBA2bnt2nTJrz88svw8PCAo6MjwsLCEBMTgwsXLlTmalmEEg5CCCHPpMSMPBy/nYrEjLxKWV58fDyaN2+OAwcOYMGCBbh8+TJ2796NTp06Gd0iZObMmUhMTMT169fx888/w93dHZ07d8asWbOM5jdx4kT0798fTZs2xfbt23H9+nWsWbMGderUwaRJkyplnaxBp8USQgipthhjyFNZf7XRTefuY9r2/yAwgOeAGa82wpvNa1o1D0eJyKprgIwcORIcx+H06dNwdnbWlzdq1AgxMTH6YVdXV/j7+wMAgoOD8dJLLyEgIABTp05Fnz59EBYWhpMnT2L+/PlYvHgxPvjgA/20wcHBaN68OariRcQp4SCEEFJt5ak0aDh1T7nmITDgs23/4bNt/1k13ZWZ3eAktWw3+vjxY+zevRuzZs0ySjZ03N3dS5x+7Nix+Pzzz7Ft2zZ88skn+P333+Hi4oKRI0earV8VL4ZGh1QIIYQQG7t16xYYYwgPDy/T9J6envD19UV8fDwA4MaNG6hTpw7E4sKE56uvvoKLi4v+kZGRURGhVxhq4SCEEFJtOUpEuDKz+LuPm5OUkY/OXx2GYHDUgeeAv8Z3gL/c8qtuOkpEFtetiEMcjLESWy5iYmLw6quv4tSpUxg8eHCVO6xCCQchhJBqi+M4iw9r6NTxccGcN57D5M3/QsMYRByH2W80Rh0fFxtFCYSGhoLjOFy7dq1M06elpeHRo0cICQnRz+/o0aNQqVSQSCQAtIdl3N3dcf/+/QqLuyLRIRVCCCHPnP4tgnH00074/Z3WOPppJ/RvEWzT5Xl6eqJbt25YunQpcnJyTManp6eXOP3ixYvB8zyioqIAAAMGDEB2dja+++47G0RrG9TCQQgh5JkUIHdEgNyx0pa3dOlStGvXDi1btsTMmTPRpEkTqNVq7Nu3D8uWLcPVq1cBAFlZWUhKSoJKpUJcXBx+/fVX/Pjjj5gzZw7q1asHAGjTpg0++ugjfPTRR7h79y7eeOMNBAUFITExEStXrgTHcVXufjOUcBBCCCGVoE6dOjh//jxmzZqFjz76CImJifDx8UHz5s2xbNkyfb2pU6di6tSpkEql8Pf3R+vWrbF//3506tTJaH5ffvklWrZsiWXLluGnn35Cbm4u/Pz88NJLL+HEiRNwc3Or7FUsEceqWq+SCpCZmQm5XI6MjIwqt8EJedadOXMGANCiRQs7R0Kqo/z8fMTFxSEkJKTSbqv+NCppO9pqH1q12lsIIYQQ8lSihIMQQgghNkcJByGEEEJsjhIOQgghhNgcJRyEEEIIsTlKOAghhBBic5RwEEIIIcTmKOEghBBCiM1RwkEIIYQQm6OEgxBCCCE2RwkHIYQQUgmio6P1d3stqnbt2li0aJFJ+fTp09G0aVOjYY7jwHEcRCIRgoKC8O677+Lx48e2CboC0c3bCCGEPJsyHgCPbwOedQF5DXtHY7FGjRrhr7/+gkajwdWrVxETE4OMjAysW7fO3qGViBIOQggh1RdjgCrX+ukurgH+/ARgAsDxQI/5QNOB1s1D4gRwnPXLLiexWAx/f38AQI0aNdC3b1+sWrWq0uOwFiUchBBCqi9VLjA7sHzzYAKw62PtwxqTHwJS5/Itu5zi4+OxZ88eSKVSu8ZhCUo4CCGEkCpg4sSJmDJlilGZUqlEw4YNjcouX74MFxcXaDQa5OfnAwC++uqrSouzrCjhIIQQUn1JnLQtDdbIfAgsbalt2dDhRMCoU4CbFa0lEifrlluKCRMmIDo62qjsm2++wZEjR4zKwsLCsH37duTn5+PXX3/FxYsXMWbMmAqNxRYo4SCEEFJ9cZz1hzW8Q4Hei4E/xgFMo002ei/SltuRt7c36tWrZ1Tm6elpUk8qlerrzZ07F5GRkZgxYwY+//zzSomzrCjhIIQQ8uxpNhSo+wrw+A7gWadanaVS1JQpU/Dyyy/j/fffR2BgOfuz2BAlHIQQQp5N8hqVnmhkZGTg4sWLRmVeXl7lmmebNm3QpEkTzJ49G0uWLCnXvGyJEg5CCCGkkhw6dAjPP/+8UdmIESPKPd8PP/wQ0dHRmDhxIoKCgso9P1vgGGPM3kFUtMzMTMjlcmRkZMDNzc3e4RBCDJw5cwYA0KJFCztHQqqj/Px8xMXFISQkBA4ODvYOp9oqaTvaah9KlzYnhBBCiM1ZlXAYXsNd9wgPDy9xmg0bNiA8PBwODg547rnnsGvXLqPxHTt2BMdxmDt3rsm0kZGR4DgO06dPtyZMQgghhFQxVrdwNGrUCImJifrH0aNHi617/PhxDBgwACNGjMCFCxcQFRWFqKgo/Pvvv0b1goKCEBsba1T24MED7N+/HwEBAdaGSAghhJAqxuqEQ3cNd93D29u72LqLFy9G9+7dMWHCBDRo0ACff/45mjVrZtKLtlevXkhNTcWxY8f0ZatXr0bXrl3h6+trbYiEEEIIqWKsTjhu3ryJwMBA1KlTB4MGDUJCQkKxdU+cOIHOnTsblXXr1g0nTpwwKpNKpRg0aJDRzWdiY2MRExNjUUwKhQKZmZlGD0IIIYRUHVYlHK1atUJsbCx2796NZcuWIS4uDu3bt0dWVpbZ+klJSfDz8zMq8/PzQ1JSkkndmJgYrF+/Hjk5OThy5AgyMjLQq1cvi+KaM2cO5HK5/lFVTwkihBBCnlVWXYejR48e+tdNmjRBq1atUKtWLaxfv77c5xFHREQgNDQUGzduxMGDBzFkyBCIxZaFN2nSJIwfP14/nJmZSUkHIYQQUoWU68Jf7u7uqF+/Pm7dumV2vL+/P5KTk43KkpOT4e/vb7Z+TEwMli5diitXruD06dMWxyGTySCTySwPnBBCCCGVqlzX4cjOzsbt27eLPZOkTZs22L9/v1HZvn370KZNG7P1Bw4ciMuXL6Nx48Ymt+MlhBBCSPVlVQvHxx9/jN69e6NWrVp4+PAhpk2bBpFIhAEDBgAAhg4diho1amDOnDkAgLFjx6JDhw5YuHAhIiMjsXbtWpw9exYrVqwwO38PDw8kJiZCIpGUc7UIIYQQUpVY1cJx//59DBgwAGFhYejXrx+8vLxw8uRJ+Pj4AAASEhKQmJior9+2bVusWbMGK1asQEREBDZu3IitW7eicePGxS7D3d0dzs5W3mqYEEIIqeKio6PBcRzee+89k3GjRo0Cx3GIjo7W142KijKpd+LECYhEIkRGRto42opnVQvH2rVrSxx/6NAhk7K+ffuib9++Vk1jqOhd9QghhJCKkJSThITMBAS7BcPf2XzfwooWFBSEtWvX4uuvv4ajoyMA7X1N1qxZg+Dg4FKnX7lyJcaMGYOVK1fi4cOHVfp29EXR3WIJIYRUW4wx5KnzrJ5u++3tmHNqDgQI4MFjUqtJeLXuq1bNw1HsCI7jrJqmWbNmuH37NjZv3oxBgwYBADZv3ozg4GCEhISUOG12djbWrVuHs2fPIikpCbGxsZg8ebJVy7cnSjgIIYRUW3nqPLRa06pc8xAgYNapWZh1apZV050aeApOEierlxcTE4NVq1bpE46ffvoJw4cPL7XFf/369QgPD0dYWBgGDx6McePGYdKkSVYnPfZCd4slhBBCKtHgwYNx9OhR3L17F3fv3sWxY8cwePDgUqdbuXKlvl737t2RkZGBw4cP2zrcCkMtHIQQQqotR7EjTg08ZdU0ybnJiNoaBQGCvozneGx9bSv8nPxKmNJ02WXh4+ODyMhIxMbGgjGGyMjIEu9LBgDXr1/H6dOnsWXLFgDa+5r1798fK1euRMeOHcsUR2WjhIMQQki1xXGc1Yc1QuQhmNZ2GmacmAGBCeA5HtPaTEOIvOQ+FBUpJiYGo0ePBgAsXbq01PorV66EWq026iTKGINMJsOSJUsgl8ttFmtFoYSDEELIM+eN0DfQNrAt7mXdQ5BrUKWdpaLTvXt3KJVKcByHbt26lVhXrVbj559/xsKFC9G1a1ejcVFRUfj999/Nnmpb1VDCQQgh5Jnk7+xf6YmGjkgkwtWrV/WvS7Jjxw48efIEI0aMMGnJePPNN7Fy5cpqkXBQp1FCCCHEDtzc3ODm5lZqvZUrV6Jz585mD5u8+eabOHv2LC5dumSLECsUxxhj9g6iomVmZkIulyMjI8OiN5MQUnnOnDkDAGjRooWdIyHVUX5+PuLi4hASEgIHBwd7h1NtlbQdbbUPpRYOQgghhNgcJRyEEEIIsTlKOAghhBBic5RwEEIIIcTmKOEghBBCiM1RwkEIIYQQm6OEgxBCCCE2RwkHIYQQQmyOEg5CCCGE2BwlHIQQQgixOUo4CCGEkEoQHR0NjuPAcRykUinq1auHmTNnQq1WAwA0Gg2+/vprPPfcc3BwcICHhwd69OiBY8eOmZ3fiRMnIBKJEBkZWZmrUWaUcBBCCHkmqZKSkHPyFFRJSZW2zO7duyMxMRE3b97ERx99hOnTp2PBggVgjOGtt97CzJkzMXbsWFy9ehWHDh1CUFAQOnbsiK1bt5rMa+XKlRgzZgyOHDmChw8fVto6lBXdnp4QQki1xRgDy8uzerr0rVuR/MUsQBAAnofflP+De1SUVfPgHB3BcZxV08hkMvj7+wMA3n//fWzZsgXbt29HnTp1sHHjRmzfvh29e/fW11+xYgXS0tLw9ttvo0uXLnB2dgYAZGdnY926dTh79iySkpIQGxuLyZMnWxVLZaOEgxBCSLXF8vJwvVnz8s1EEJA883Mkz/zcqsnCzp8D5+RUrkU7OjoiLS0Na9asQf369Y2SDZ2PPvoImzdvxr59+xBVkBStX78e4eHhCAsLw+DBgzFu3DhMmjTJ6gSoMtEhFUIIIaSSMcbw119/Yc+ePXj55Zdx48YNNGjQwGxdXfmNGzf0ZStXrsTgwYMBaA/TZGRk4PDhw7YPvByohYMQQki1xTk6Iuz8OaumUSUn405kL+3hFB2eR52dOyDx87Nq2dbasWMHXFxcoFKpIAgCBg4ciOnTp2PHjh1gjFk0j+vXr+P06dPYsmULAEAsFqN///5YuXIlOnbsaHVMlYUSDkIIIdUWx3FWH9aQhYQgYOYMJE6dpu/DETBzBmQhITaKslCnTp2wbNkySKVSBAYGQizW7obr16+Pq1evmp1GV16/fn0A2tYNtVqNwMBAfR3GGGQyGZYsWQK5XG7jtSgbSjgIIYQ8c9z79IHziy9CeTcB0lrBkBR05LQ1Z2dn1KtXz6T8rbfewsCBA/HHH3+Y9ONYuHAhvLy80KVLF6jVavz8889YuHAhunbtalQvKioKv//+O9577z2brkNZUcJBCCHkmSTx96+0RKM0b731FjZs2IBhw4ZhwYIFeOWVV5CZmYmlS5di+/bt2LBhA5ydnbF161Y8efIEI0aMMGnJePPNN7Fy5coqm3BQp1FCCCHEzjiOw/r16zF58mR8/fXXCAsLQ/v27XH37l0cOnRIf3bKypUr0blzZ7OHTd58802cPXsWly5dquToLcMxS3upVCOZmZmQy+XIyMiAm5ubvcMhhBg4c+YMAKBFixZ2joRUR/n5+YiLi0NISAgcHBzsHU61VdJ2tNU+lFo4CCGEEGJzlHAQQgghxOYo4SCEEEKIzVHCQQghhBCbo4SDEEIIITZHCQchhBBCbI4SDkIIIYTYHCUchBBCCLE5SjgIIYQQYnOUcBBCCCHE5sqVcMydOxccx2HcuHEl1tuwYQPCw8Ph4OCA5557Drt27TIa37FjR3Ach7lz55pMGxkZCY7jMH369PKESgghhNjVo0eP8P777yM4OBgymQz+/v7o1q0bDh8+DH9/f8yePdtkmn79+qF169bQaDSYPn06OI4Dx3EQi8Xw9vbGSy+9hEWLFkGhUNhhjaxT5oTjzJkz+P7779GkSZMS6x0/fhwDBgzAiBEjcOHCBURFRSEqKgr//vuvUb2goCDExsYalT148AD79+9HQEBAWcMkhBBCzMp+ko/7158g+0l+pSzvzTffxIULF7B69WrcuHED27dvR8eOHZGRkYEVK1ZgxowZuHz5sr7+hg0bsGPHDqxevRoikQgA0KhRIyQmJiIhIQEHDx5E3759MWfOHLRt2xZZWVmVsh5lVabb02dnZ2PQoEH44Ycf8MUXX5RYd/HixejevTsmTJgAAPj888+xb98+LFmyBMuXL9fX69WrF9avX49jx46hXbt2AIDVq1eja9euSEhIKEuYhBBCnnKMMaiVgtXTXTuRiL/X3QBjAMcB7fvXR3gb637ciqU8OI6zqG56ejr+/vtvHDp0CB06dAAA1KpVCy1bttTXGThwIIYNG4ZTp04hPT0do0aNwty5cxEWFla4TLEY/v7+AIDAwEA899xz6NKlCyIiIjBv3rxS98n2VKaEY9SoUYiMjETnzp1LXbkTJ05g/PjxRmXdunXD1q1bjcqkUikGDRqEVatW6ROO2NhYzJ8/v9TDKQqFwqg5KTMz0/KVIYQQUm2plQJWjD1crnkwBhxZewNH1t6warp3F3eARCayqK6LiwtcXFywdetWtG7dGjKZzKTO4sWL8dxzz+Hzzz/H1atX0bhxY4wZM6bUeYeHh6NHjx7YvHlzlU44rD6ksnbtWpw/fx5z5syxqH5SUhL8/PyMyvz8/JCUlGRSNyYmBuvXr0dOTg6OHDmCjIwM9OrVq9RlzJkzB3K5XP8ICgqybGUIIYSQSiAWixEbG4vVq1fD3d0d7dq1w+TJk3Hp0iV9HTc3N6xatQqzZ8/G3r17sWrVKotbUMLDwxEfH2+j6CuGVS0c9+7dw9ixY7Fv3z44ODhUeDAREREIDQ3Fxo0bcfDgQQwZMgRicekhTpo0yagVJTMzk5IOQgh5BoilPN5d3MGqabLTFfh9+kkwVljGccCA6a3h4m7a8lDSsq3x5ptvIjIyEn///TdOnjyJP//8E/Pnz8ePP/6I6OhoAMDLL7+M1q1bo2nTpqhVq5bF82aMWZyc2ItVCce5c+eQkpKCZs2a6cs0Gg2OHDmCJUuWQKFQ6Du26Pj7+yM5OdmoLDk5WX8MqqiYmBgsXboUV65cwenTpy2KSyaTmW2eIoQQ8nTjOM7iwxo6Hn5O6Dg4HId+uwYmABwPdBwUDg8/JxtFWcjBwQFdunRBly5d8Nlnn+Htt9/GtGnT9AkHoG0NseTHtqGrV68iJCSkgqOtWFat0SuvvGLUgxYAhg8fjvDwcEycONEk2QCANm3aYP/+/Uanzu7btw9t2rQxu4yBAwfi448/RkREBBo2bGhNeIQQQohFGrYLRHBDT2Sk5EHu6wgXj4pvtbcojoYNTfo0WuvatWvYvXs3Jk2aVDFB2YhVCYerqysaN25sVObs7AwvLy99+dChQ1GjRg19H4+xY8eiQ4cOWLhwISIjI7F27VqcPXsWK1asMLsMDw8PJCYmQiKRlGV9CCGEEIu4eDhUWqKRlpaGvn37IiYmBk2aNIGrqyvOnj2L+fPn47XXXrN4Pmq1GklJSRAEAWlpaTh06BC++OILNG3aVH82aFVVprNUSpKQkACeLzyu1bZtW6xZswZTpkzB5MmTERoaiq1bt5okLobc3d0rOixCCCHEblxcXNCqVSt8/fXXuH37NlQqFYKCgvDOO+9g8uTJFs/nv//+Q0BAAEQiEeRyORo2bIhJkybh/fffr/JdCzjGDLvNPB0yMzMhl8uRkZEBNzc3e4dDCDFw5swZAECLFi3sHAmpjvLz8xEXF4eQkBCbnLzwrChpO9pqH0r3UiGEEEKIzVHCQQghhBCbo4SDEEIIITZHCQchhBBCbI4SDkIIIYTYHCUchBBCCLE5SjgIIYQQYnOUcBBCCCHE5ijhIIQQQojNUcJBCCGEPGWio6MRFRVl7zCMUMJBCCGEVIKOHTsa3TndVtNUVZRwEEIIeSZlpaUi4d9LyEpLtXcozwRKOAghhFRbjDGo8vOtflzcsxM/jBqODZ9Pxg+jhuPinp1Wz8Oae59GR0fj8OHDWLx4MTiOA8dxiI+Px+HDh9GyZUvIZDIEBATg008/hVqtLnEajUaDESNGICQkBI6OjggLC8PixYtttYkrTIXfnp4QQgipLGqFAt8M61OueTDGsP+nZdj/0zKrpvtg9UZILLxj7eLFi3Hjxg00btwYM2fOBABoNBr07NkT0dHR+Pnnn3Ht2jW88847cHBwwPTp081O4+PjA0EQULNmTWzYsAFeXl44fvw43n33XQQEBKBfv37WrXwlooSDEEIIsTG5XA6pVAonJyf4+/sDAP7v//4PQUFBWLJkCTiOQ3h4OB4+fIiJEydi6tSpZqcBAJFIhBkzZuiHQ0JCcOLECaxfv54SDkIIIcQWxDIZPli90appsh6nIXb8e0aHRDieR/TCZXD19LJq2eVx9epVtGnTBhzH6cvatWuH7Oxs3L9/H8HBwcVOu3TpUvz0009ISEhAXl4elEolmjZtWq54bI0SDkIIIdUWx3EWH9bQ8QysgS7vjsG+H5aACQI4nkeXd0bDM7CGjaKsWGvXrsXHH3+MhQsXok2bNnB1dcWCBQtw6tQpe4dWIko4CCGEPHOee7krakc0Q3rSQ7j7B8LVy9vmy5RKpdBoNPrhBg0aYNOmTWCM6Vs5jh07BldXV9SsWdPsNLo6bdu2xciRI/Vlt2/ftnn85UVnqRBCCHkmuXp5I6hRk0pJNgCgdu3aOHXqFOLj45GamoqRI0fi3r17GDNmDK5du4Zt27Zh2rRpGD9+PHieNzuNIAgIDQ3F2bNnsWfPHty4cQOfffYZzpw5UynrUB6UcBBCCCGV4OOPP4ZIJELDhg3h4+MDlUqFXbt24fTp04iIiMB7772HESNGYMqUKcVOk5CQgP/9739444030L9/f7Rq1QppaWlGrR1VFcesOZG4msjMzIRcLkdGRgbc3NzsHQ4hxIDul1iLFi3sHAmpjvLz8xEXF4eQkBA4WNl3gxQqaTvaah9KLRyEEEIIsTlKOAghhBBic5RwEEIIIcTmKOEghBBCiM1RwkEIIaTaeQrPd6hU9th+lHAQQgipNiQSCQAgNzfXzpFUb7rtp9uelYGuNEoIIaTaEIlEcHd3R0pKCgDAycnJ6F4kpGSMMeTm5iIlJQXu7u4QiUSVtmxKOAghhFQrujun6pIOYj13d3ejO9BWBko4CCGEVCscxyEgIAC+vr5QqVT2DqfakUgkldqyoUMJByGEkGpJJBLZZcdJyoY6jRJCCCHE5ijhIIQQQojNUcJBCCGEEJujhIMQQgghNkcJByGEEEJsjhIOQgghhNgcJRyEEEIIsTlKOCyUlZaKhH8vISst1d6hlIjifHZVl22qyMpEekJclY+zumxPoPrESnE+2+jCXxa4fGAv9q34FowxcByHLu+OwXMvd7V3WCbsHSdjDGAMjDEwJoAJDAwMEAqGC8b9d+QADq/+QR/nyzHv4bmXu4EXiarkPRGy0lLxJPEhPAIC4erlbdNlCYIGGpUKapUKGqUSGrUKaqUKapUSGpUSaqVK+6xSauuotMP3/ruM6yeOAmAAOIS1eRE1whuCF4nBi0QGDzF4EW+2XCQSgSu4kJL2ueRpOZ63+v26fGAvTq34FmAMlzf8Qn9LFaBorC+PGIlG7TtBEAQwQYAgaMD0r4UirzVFyjTm62mK1tNOa1i3tOUl3rqO22dP6eMObdUWgaHhBp8tETgRD5FIDE4kAs+LjD+rvAi8WFdu/ODMlOkfvMiqz2t1eu+rG449hff4zczMhFwuR0ZGBtzc3Mo1r6y0VPwwarjJrXw9AmtCJBbD7Me3uA+1mXLO3ByKndzcCG2ZRq1CakK8yVjPwJrgxWLtH33BDh/MIAEoSAbAYFAmAIDBNNrkAdDV103DjOdRAXiRGCKxWPvFonutfxZBJJaAF4vMl4sKyospE4kKni2dRiRG3MWzOLV1A8AYwHFo1vM1BDd6TrvjV6ugVhYkAgUJglpVmBwYJg6FCYJx0qBRqY2SCUGjrpDtWFlKTmJ0OwkxeF4EBgGP4uNM5hEY1gBiidTk78OSnYNJnaLzMJ2g1HmolUok/PuPSb2aDRpDJJEU/H0Y/y2YTa71ZYV/e0wQwABAN41BIs5YkbomZQJYwd+pbjm6HTqxTNHEhSvyeQUDMlKSTKar3bQ5nFzdIJbJIJHJIJY6QKJ7LZNBIi14ljkUGS4sE0ukNvlBZYsfRBW5DzVkVcKxbNkyLFu2DPHx8QCARo0aYerUqejRo0ex02zYsAGfffYZ4uPjERoainnz5qFnz5768R07dsThw4cxZ84cfPrpp0bTRkZGYteuXZg2bRqmT59u8UpV5MZK+PcSNnw+uVzzIKQsOI6HSCqBWCKFWCKBSCqFWCKFSCKBSFJYrsjLw8PrV0ymr9mgMRxcXCBoNAUPNQSNAI1GDabRQKPR6J+14zQmdXXltFOr/jiOB8fz4HntM8fz+l/+RmX61yL9a54vqV7ha31LgtG0PHIy0hF/8ZxJTMHPNYWjiysEQQNBo2010ajV2pYXjWD8WRQ0ENRqfd3C4YIWGIO6FfUDqKLpkhGJgwPEUl3yYpyYmCQrUuPERv9a5oA7F87ixIbfKrw1xlYJh1WHVGrWrIm5c+ciNDQUjDGsXr0ar732Gi5cuIBGjRqZ1D9+/DgGDBiAOXPmoFevXlizZg2ioqJw/vx5NG7cWF8vKCgIsbGxRgnHgwcPsH//fgQEBJRj9crPIyAQHMcZtXBwHIceoz+Gk5tc+wvGnOLyuGLKi836iq1vXJ6XmYndyxYZ1ec4Dt1HfwRnuXvBlw2nbVHhOe0wx+nLOJ4HOE5bpnvoy3hwHArnwfGAblhXD9A3WerqAQXz53TTcMh+nIafxr5jvD15HkPnfQsnuRwatRqCRq19Vhc8azTQqFUFz8WNN1+uL9OPK2ZeBuMFtQoajQaK3BzkPHlssu09AmvCyU0OsVRqtOM3TAjEEglERcqN6oglxSYTYqlU39JiyS8ic61wHM+j55iPK+wXj655vGgiUlyCYq48O/0J9n7/jfFnmuPQKfpdODq7GC/PJADTv4PSfiuZjDc3j6JLYkB+dhaOrIk1ibPjkBFwdJNrW02KfNaL/bviOOO6BX83RnVN/t4s/RvkkJP+BL9P+cjkvY9e+B1cvX0KkwLO+sNfFam4z2j398fZ5DClyedV0CXXajBdImOQsOg+q9mPH+OPRXNN3vt2/YdAJBZDrVBApVRonxUKqBT5UCu1r9XmhpUKaAxuLqcuKM/Lyqz4dWYM+35YgtoRzWx+6LesrEo4evfubTQ8a9YsLFu2DCdPnjSbcCxevBjdu3fHhAkTAACff/459u3bhyVLlmD58uX6er169cL69etx7NgxtGvXDgCwevVqdO3aFQkJCVavVEVy9fJGl3fHYN8PS8AEARzPo8s7o9HgxQ52jcscQaMxibPhix3tHZYRdz9/s9vTO7iWvUMzUdyXZN8pX1SpP+jiPqMVGSPH8xDxPETicnb7Ygx7C/pw6OKsisfHHVxcTbZnVYzTzdvH7HvvGVjT3qEZqYzPqKHyfF67momzPO+9oNEUJiFKg0TFJHlRQK3ILyxTKqDKVxhPm184Pi8nC/mZxokLEwSkJz2sUt9Phsrch0Oj0WDDhg0YNmwYLly4gIYNG5rUCQ4Oxvjx4zFu3Dh92bRp07B161b884/2GGnHjh3RtGlTMMaQk5ODH3/8EQBQv359zJ8/H9OnT0dUVFSJh1QUCgUUCoV+ODMzE0FBQRXaHJSVlor0pIdw97d9x8HyoDgr1uUDe6vFjgeoPtv06IH9yHvyGK07dqrScVaX7QlUn1gpzopT3A+id5b8VO6Yq8QhFQC4fPky2rRpg/z8fLi4uGDLli1mkw0ASEpKgp+fn1GZn58fkpJMO+XExMSgffv2WLx4Mc6dO4eMjAz06tXLor4bc+bMwYwZM6xdFau4enlX2Q+eIYqzYj33clfUjmhW5b98gOqzTWWubpC5ulX5WKvL9gSqT6wUZ8Wp7FajimB1whEWFoaLFy8iIyMDGzduxLBhw3D48OFikw5LRUREIDQ0FBs3bsTBgwcxZMgQiC1sDps0aRLGjx+vH9a1cBBSEarDlw8h5NlTnX4QAWVIOKRSKerVqwcAaN68Oc6cOYPFixfj+++/N6nr7++P5ORko7Lk5GT4+/ubnXdMTAyWLl2KK1eu4PTp0xbHJJPJIJPJrFgLQgghpPqrTj+Iyn2lUUEQjPpPGGrTpg32799vVLZv3z60adPGbP2BAwfi8uXLaNy4cblbTAghhBBSdVjVwjFp0iT06NEDwcHByMrKwpo1a3Do0CHs2bMHADB06FDUqFEDc+bMAQCMHTsWHTp0wMKFCxEZGYm1a9fi7NmzWLFihdn5e3h4IDExERKJpJyrRQghhJCqxKqEIyUlBUOHDkViYiLkcjmaNGmCPXv2oEuXLgCAhIQE8Hxho0nbtm2xZs0aTJkyBZMnT0ZoaCi2bt1qdA2Ootzd3cu2JoQQQgipsujS5oSQSnXmzBkAQIsWLewcCSHEHFvtQ+lusYQQQgixOUo4CCGEEGJzlHAQQgghxOYo4SCEEEKIzVHCQQghhBCbo4SDEEIIITZHCQchhBBCbI4SDkIIIYTYHCUchBBCCLE5SjgIIYQQYnOUcBBCCCHE5ijhIIQQQojNUcJBCCGEEJujhIMQQgghNkcJByGEEEJsjhIOQgghhNgcJRyEEEIIsTlKOAghhBBic5RwEEIIIcTmKOEghBBCiM1RwkEIIYQQm6OEgxBCCCE2RwkHIYQQQmyOEg5CCCGE2BwlHIQQQgixOUo4CCGEEGJzlHAQQgghxOYo4SCEEEKIzVHCQQghhBCbo4SDEEIIITZHCQchhBBCbI4SDkIIIYTYHCUchBBCCLE5SjgIIYQQYnOUcBBCCCHE5ijhIIQQQojNUcJBCCGEEJujhIMQQgghNkcJByGEEEJsjhIOQgghhNicVQnHnDlz0KJFC7i6usLX1xdRUVG4fv16qdNt2LAB4eHhcHBwwHPPPYddu3YZje/YsSM4jsPcuXNNpo2MjATHcZg+fbo1oRJCCCGkCrEq4Th8+DBGjRqFkydPYt++fVCpVOjatStycnKKneb48eMYMGAARowYgQsXLiAqKgpRUVH4999/jeoFBQUhNjbWqOzBgwfYv38/AgICrAmTEEIIIVWMVQnH7t27ER0djUaNGiEiIgKxsbFISEjAuXPnip1m8eLF6N69OyZMmIAGDRrg888/R7NmzbBkyRKjer169UJqaiqOHTumL1u9ejW6du0KX19fK1er4qmSkpBz8hRUSUn2DoUQQgipdsrVhyMjIwMA4OnpWWydEydOoHPnzkZl3bp1w4kTJ4zKpFIpBg0ahFWrVunLYmNjERMTU2ocCoUCmZmZRo+K9PjXX3Gr08tIiI7GrU4vI3nefOSeO4e8S5eQf/UqFLduQXn3LlQPH0L96BE06ekQcnLAlEowxio0ltJQYkQIIaQqEpd1QkEQMG7cOLRr1w6NGzcutl5SUhL8/PyMyvz8/JBkZocYExOD9u3bY/HixTh37hwyMjLQq1evUvtvzJkzBzNmzCjTepRGlZSE5FmzAV3iwBger1qFxwaJUakkEnDFPaTS4seVOJ1pWe6Fi8jYvFkbK8fBM3oYXDt31i5DKgUnKXiWSsDryqRScOIyfwzKTJWUBGX8XUhr14LE37/Sl08IIaRylXlPM2rUKPz77784evRohQUTERGB0NBQbNy4EQcPHsSQIUMgtmBnOGnSJIwfP14/nJmZiaCgoAqJSRl/tzDZMCD28wMnFoOpVMYPpdK0vm5chURkIcbweFUsHq+KLb0uzxcmH7qERCItUlZkvEkSYzyek0qNkxqDutnHjuLxDz9qtxPPI2DmDLj36WPzTUIIIcR+ypRwjB49Gjt27MCRI0dQs2bNEuv6+/sjOTnZqCw5ORn+xfyqjYmJwdKlS3HlyhWcPn3aonhkMhlkMpllwVtJWrsWwPOAIBQW8jxqr1tb7C9zptGYJCHGw0WSFJXSNHFRqQoTFZNplSbzUaWkIP+ff0xiEfn5guNF2hgMHkZJkSCA5eeD5edX9OYrnSAgccpnyD5yBI4RTSELC4NDWH2IvL3BcVzlx0MIIcQmrEo4GGMYM2YMtmzZgkOHDiEkJKTUadq0aYP9+/dj3Lhx+rJ9+/ahTZs2ZusPHDgQH3/8MSIiItCwYUNrwrMJib8/AmbOQOLUadqko+AXeUmHATiRCJxIBDg4VFqcqqQk3Hr5FZPEKGTdOrOxMrVan3wISqU2eVEqtclMkeRE0L9WGY9TWVBHN16lHafJyID64UOTeLL27kPW3n36YZGnJ2Rh9eFQvz5k9cMgCwuDrF5d8JW4TQkhhFQcqxKOUaNGYc2aNdi2bRtcXV31/TDkcjkcHR0BAEOHDkWNGjUwZ84cAMDYsWPRoUMHLFy4EJGRkVi7di3Onj2LFStWmF2Gh4cHEhMTIZFIyrNeFcq9Tx84v/gilHcTIK0VXCX7HFibGHFisbbvhpMTRJUYZ3GJkWf0MKgeJkJx/TqUd+9C8/gxck+cRO6Jk0b1pLVraxORsDDI6mtbQ8SBgdQaQgghVZxVCceyZcsAaC/UZWjVqlWIjo4GACQkJIDnC09+adu2LdasWYMpU6Zg8uTJCA0NxdatW0vsaOru7m5NWJVC4u9fJRMNQ9U5MTLswyHk50Nx6zYU169DceM68q/fgOLaNWjS06G8cwfKO3eQ9edufX3exUXbAlI/VJ+IyOqHQuTiYo9VJIQQYgbHKvu8zUqQmZkJuVyOjIwMuLm52TscYoYqKcmqxIgxBvWjR1Bcv1GQhFzXvr5zB1CpzE4jqVlT3ydEe1imPqTBwdrDXcRuzpw5AwBo0aKFnSMhhJhjq31o5Z8PSQisbzHiOA4SX19IfH3h0v5FfTlTKqGIi4fihnEiok5Ohur+faju30f2/v2F83FwgKxePaPDMrKw+hB7eBS7bDqFlxBCyo8SDlKtcVIpHMLqwyGsPoBe+nL1kydQ3LgJxfXryL9R0Bpy8yZYfj7y//0X+f/+iwyD+Yh9fQtbQ8LCIKtfH7KQEGRs317i4R9CCCGWoUMq5JnBNBooExIMDsvcgOLGDaju3TM/gUgEaDTGZTyPun/tgzQw0PYBP6XokAohVRsdUiGknDiRCLKQEMhCQoDu3fTlmuwcKG7eME5Erl+HkJ1tOhNBwO0ePbWHY+rVgyw0VPtcPxRiX186W4YQQopBCQd55olcnOH0/PNwev55fRljDPn//IP4AQNNrxyrUCD/0iXkX7pkVMy7umoTEF0SEhoKWWg9iL28KmM1CCGkSqOEgxAzOI6DY9OmCPh8plEfDv9pU+H0wgtQ3LwJxc1b2ueCm/cJWVnIO38eeefPG81L5OlplIDoEhKRXG6ntSOEkMpHfTgIKYUlp/AKSiWUcXHajqq3ChMR1b17Zu/FAxR0VDU4JCOrVw/SuvUgcnG25erYHfXhIKRqoz4chNiJJafw8lIpHMLC4BAWZlQu5OVBcftOQYvITShuaVtG1ImJUKekQJ2Sgpxjx4yXFxioTUTqFx6akdapQ5d1J4RUa5RwEGJDvKMjHBs3gmPjRkblmqwsbUtIQWuI8tYt5N+8Cc2jVKgePoTq4UNkHz5sMCMe0qAgSA0OychCQyGrXRucVAqArhdCCKnaKOEgxA5Erq4mHVUB7fVDlAaJiK6fiCY9Hcq7d6G8exfZfxVeyAxiMaS1a4FzcITiv/+0h2/oeiGEkCqIEg5CqhCxhwfELVrAyaB/A2MMmtRUkyREcesWhOxsKG/dNp6JICBx6jQ4v/gitXQQQqoMSjgIqeI4joPYxwdiHx84t2mjL2eMQZ2UhIwdO/Bo4VfGEwkClHcTKOEghFQZfOlVCCFVEcdxkAQEQN67N8DzRUdCWivYPoERQogZlHAQUs1J/P0RMHOGcdLBGJR37tgvKEIIKYISDkKeAu59+qDegf0IXr0abq/2BgA8/HQS1E+e2DkyQgjRooSDkKeExN8fzq1aImDGDEhDQqBOSUHS1Kl4Cq/tRwiphijhIOQpwzs6IvDLBYBEgqx9fyFj0yZ7h0QIIZRwEPI0cmzUCL5jPwAAJM2aDWV8vH0DIoQ88yjhIOQp5RkTA6dWrcDy8vBgwidgKpW9QyKEPMMo4SDkKcXxPALnzgHv5ob8y5fxaOlSe4dECHmGUcJByFNMEhCgPWUWQNr3K5BbcKdWQgipbJRwEPKUc+veHfLXXwcYw4OJE6HJzLR3SISQZxAlHIQ8A/z+7/8gCQqC+mEikmZ+bu9wCCHPIEo4CHkGiFycUWPBfEAkQuaOHcj44w97h0QIecZQwkHIM8KxaVN4j3wfAJA0YyaU9+/bOSJCyLOEEg5CniHe//sfHJ9/HkJ2Nh5+MhFMrbZ3SISQZwQlHIQ8QzixGIEL5oN3dkbe+fNI++EHe4dECHlGUMJByDNGWrMm/Kd+BgB4tGQp8v75x84REUKeBZRwEPIMcnv1Vbj17AloNHgw4RNosnPsHRIh5ClHCQchzyCO4+A/fRrEgQFQJSQgefZse4dECHnKUcJByDNK5OaGGvPmARyHjM2bkbl7j71DIoQ8xSjhIOQZ5tSiBbzeeQcAkDhtGlRJSXaOiBDytKKEg5BnnM/oUXBo3BhCRgYeTvwUTBDsHRIh5ClECQchzzhOKkXggvngHB2Re+oUHq9aZe+QCCFPIUo4CCGQhYTAb9KnAICURYuRf+WKnSMihDxtKOEghAAA3Pv2hUvnVwCVCg8+ngAhL8/eIRFCniKUcBBCAGhPlQ34/HOIfXygvHMHyfPn2zsk+8p4AMQd0T4TQsqNEg5CiJ7YwwMBc+cAANJ/X4usAwftHJGdnP8ZWNQYWN1b+3z+Z3tHREi1RwkHIcSIS7t28Bw2DACQOGUK1I8e2TmiSpZxH/hjLMAKztZhArD9A+Dvr4Ar24D4o0DKNSD7EaChm98RYimxvQMghFQ9PuM/RM7Jk1Bcv46Hk/8PQSu+B8dx9g7LdnJSgTuHtI8bewqTDT0G7J9hZkIOcHQHnLwKHt6Ak6f2tbO3+XKZK/A0b0tCimF1wnHkyBEsWLAA586dQ2JiIrZs2YKoqKgSpzl06BDGjx+P//77D0FBQZgyZQqio6P146Ojo7F69Wr873//w/Lly42mHTVqFL777jsMGzYMsbGx1oZLCCkDXiZDjS8XIK5PX+T8/Tee/PobPIcMtndYFUeZCyScAO4c1CYZSZdLmYAD6nQCVLlAbhqQmwrkPQHAtM95T4C0W5YtWyQ1SEQ8C5IRL4MkxdMgSSkoF0tLnmfGA+DxbcCzLiCvYVkc9lBd4iQ2YXXCkZOTg4iICMTExOCNN94otX5cXBwiIyPx3nvv4bfffsP+/fvx9ttvIyAgAN26ddPXCwoKwtq1a/H111/D0dERAJCfn481a9YgODjY2jAJIeUkCw2F74QJSP7iC6QsWADn1q0gCw21d1hlI2iAxIva5OL2QeDeKUCjNK7j9xxQp4M2sXgSB/w5EWAagBMBvRcBzYYa19eogfx0betIblphIpKbBuQ+LlJe8FDlapeblah9WErmZiYRKRhOvQn88zsABoADWr8H1OtS0IpS0JKie61vWeFKLjOZhtNXKbleCfO+uh04NEfbesTxQOTXwAvRlm8DUu1ZnXD06NEDPXr0sLj+8uXLERISgoULFwIAGjRogKNHj+Lrr782SjiaNWuG27dvY/PmzRg0aBAAYPPmzQgODkZISIi1YRJCKoDHoIHIPnIYOUf+xoOPJ6D2+nXgZTJ7h1U6xoDHdwoPk8Qd0SYHhtxqAnU7ahOMkJcAF1/j8WE9tfPwrGP+17hIrG2RcPa2PC5lLpBnmIw8NkhS0grKHxskL4+1SY8iU/t4El/aigMnl2kfVRkTgB1jgT2TAAd3wEEOOLhpn2VuRV7Li7w2GCd1ts3hqerUElONYrV5H44TJ06gc+fORmXdunXDuHHjTOrGxMRg1apV+oTjp59+wvDhw3Ho0KESl6FQKKBQKPTDmZmZ5Y6bEKI9VTZw1izceS0KiuvX8eirr/UXCKtyctKAuEOFSUZ6gvF4mRwIaQ/U6ahNMrzqlryzkteo+C9wqZP2Ia9pWX1BABQZ2nUzaUVJA5KvALf3m07nEaLdGTNWUMAKXrMylqEc0zJtq44y2zROVa72kfXQsu1RFCfSJiCGiUmxSUsx9Yoerjr/c2GnYY4Hei82bd2yBmPaFjaNEhBUgKbgYfi61HHqIq+V2uH7p4FruwCwionVxmyecCQlJcHPz8+ozM/PD5mZmcjLy9MfPgGAwYMHY9KkSbh79y4A4NixY1i7dm2pCcecOXMwY4a5Dl2EkPIS+/ggYNYXuP/+SDxevRrO7dvD5cV29g4LUOVp+2Hc1vXDuGQ8npcAQa20CUbdTkBAU22rRHXC84Cjh/aBeqbjMx5oT9s17OTKiYDonVXr167ZOHltnGIHbetNfgaQn1nM64KHIlNbnp+hbflhmsI+NGUldihMPiSOQNIlZGu8kK4OgLs4ES7bPwD+2wqIJIU7+qJJgVCQDGjUxq91iURlYALwxzig7itV6703UKX++nx8fBAZGYnY2FgwxhAZGQlv79KbKydNmoTx48frhzMzMxEUFGTLUAl5prh26gSPgQPwZM3vSJw0CSHbt0Hs4VG5QQgaIPGfghaMg0DCKUCjMK7j17igBaMjUKut9lf+00xeA+i9GNlbZyJd5Qd3STJcoqZWvR1OcXHWalu2+TGmbRnRJR+GiUlxyUvRhEWZpZ2XOh/IzgeykwEAV3JfwaHMkWDgwUFAR7fv0NBcK1J5cCJt52GRRPvgJUVeS7XJseFrkbRguOB17mPT1i2m0R4GrGrvfwGbJxz+/v5ITk42KktOToabm5tR64ZOTEwMRo8eDQBYunSpRcuQyWSQVYfjyoRUY74TJiDn5Cko79xB4pTPUHPJt7Y/VbZoP4yiv2TdahQeIgl5CXD1MzOTp9uVvM449KgmGNMeIeqYF46G9g6qAGOs4CgLw5XsV3DEIM52T+qh7hMFBI0AQcOgURc8FwwLagEaDdO/NjtOzaDROEDQyCCovUzqaIcN5yVA4Bk0UgGCSICgUkOj0kBQax9qpRq5eSLoOsQy8DiYOQpXpdFwdhVB5gDIHDnIHDjIHHnIHEVwcBJD5iTRPpzFkDrJwEukxScSvFjbclVexbVuedYp/7xtxOYJR5s2bbBr1y6jsn379qFNmzZm63fv3h1KpRIcxxl1KiWE2Bfv6Kg9Vbb/W8jevx/pGzbAo1+/il1I7uPCBOPOISD9rvF4mRtQu33hYRKvek/tNS0YY1Dla5Cfo9I/FDlqo9dZj/Nx5+Ijg2mAg79cw4V9CRCJODB9twqmH2+YBBR2uTAeb1QmAAwMMJgX03XrEBgYCqfRTafr8lH8ugFHN9zC0Q0WnkpcacztEjkkpboAqcVNIwBQFDwAcIDMUQyZPhExfe3gLDE/zlEMjrfw81xdWrcMWJ1wZGdn49atwg9JXFwcLl68CE9PTwQHB2PSpEl48OABfv5Zeyng9957D0uWLMEnn3yCmJgYHDhwAOvXr8fOnTvNzl8kEuHq1av614SQqsOhYUP4jhuHlAULkDxnLpxatIDMyrPIJHmP4JDzAMgI1J7amXCy8HoYiZdgtKfiJUBQy8LDJIHNKq0fRvaTfKSn5MHd1xEuHg5lng9jDCqFxjRhyFUjP1uF/FwVFNkq5BcMK3ILEwpBKGGvXYL0pNwyx1uZOA4QiXnwYh68iINIxIEX8eDFnLa8YFgk4rRlooIyfX1tXX0dM+P004gK5inmwPM8RGKDZRXUUeSqsWPpP0YfQY4DXuwXCo7jtO9NrhqKXDUUBe+hIrfgvcxVQ63QAAwF5WoA+VZuEHPJirblxKFomZMYD++/iLOPVmj7jFax1i1zrP7LPXv2LDp16qQf1vWd0F2YKzExEQkJhb3DQ0JCsHPnTnz44YdYvHgxatasiR9//LHE1gs3NzdrwyKEVBLP4dHI/vtv5J48iYcfT0Dt39eAk5ZyYSqd8z8j4sAH4MCAUx8DnBhgRS4P7ttQe4hE1w9D5lLh61CaK8ce4tCv1woPUwwOR4O2AVCrhMKkIFuF/By1PkHIL0gmFDmFw4ocbUIhqMuWOACAWMJD5iyBg7MEDs5io9fgOJzfbdwKxHHAK9EN4OQmK7gUBgcO2j6a2oKCMt2lMvRl2nKj17pJCurrynTzKrzcRsFrc2UckJuhxLovTheevFIwj6Gz2pYrmbOFToPDcei3a/qTVDoOCkfDdoEWTatRC8ZJiD4pKSzTfl4Mh7Wv1UqhXMkKY8Ch364huKFnldumOhxjrOx/CVVUZmYm5HI5MjIyKHkhxAZUSUm481oUhIwMeL37LnzHf1j6ROn3gEXPwaSt3dkPqPeK9hBJSIdK7YfBBIb8HBVyM5XIyVAgN0OJJ8m5JjtxAOBFHARN2b8ueTFXkCgUPrS/XCVwcNH+YnVwkRgMa5MKsbTklt4rxx6WeQdZmapLnIC2dSsjJQ/ycrZuWUOjEqDIM5eQFDzrktuCsuwnCmSlmSYlUR8+jxph5evQbat9KCUchJAyydyzFw/GjgU4DsGrY+HcsmXxlVNvAesGA4+umo4b9oe2w2cF0qgE5GQqkJupRG6G0iih0JYpkJOhRF6m0urDFryIM2pl0CYOEjgUJAzaRKFgnMGwWMrbrJOtPXaQZVFd4qwOsp/k4+fJx23SamSrfWiVOi2WEFJ9uHXriuw330DGps14OPFT1Nm6BSK53LiSRg2cXAocnK09/RAwvsaBOF17hUQLMMagzFMXJA/apMHs60wFFDnW3cXVwUUCZ7kUTnIZJDIR7lwwvkMuxwGvT2gGr0AXSGSiKncjuyye4a5YgxCeofIPQFmuusRZHbh4OKCjmcM/VTmRo4SDkKdERXVytIb/5MnIPXMWqoQEJM2YgcCFCwt3xsn/AdtGAQ8vaIfrvoIrmtdw6GSNwmscvJSOcJcA5KUrClshDFogir7WqIrexbV4vJiDk5sUznIZnNy0yYSzXGry2tFNCpHI+DRFc304Auq4V9BWq1jrziRg0ubLEBjAc8CcN55D/xaVf/8pxhg0AoOm4CwWjcAgMAZBAATGsOn8fczedVUf58zXGmNQq+Aql7wBQGJGHuJScxDi7YwAuenlG6qKhu0CIavphFt30lGvjjvq1nK3d0glokMqhFRzGo2A/w4/wNENN7XNqxzQslcI6jT1AWPa6xgwAQavGQTB+JkJMCkrHKfdaZgbJwgMqsRkpG/bDsY4OL30EqS1a0G4fxHs4SUIDGAiB7CA5lA4BiH+Ulq511fqKDZKHJwKXjsXeS1zEpd5Z7buTAJmbbwMuZpHhljA//XR7sQZY1ALDGoNg0rQXttBJQjQFJRpxwn6OmrB/GuNIECl0e6gVRrt9CpBew0JtWBuPgbDgqAvy8pTYc+VZJP4W4d4QiLmIRQkAbqdvoYxCEz7XuvGMQZtua7MIEnQ1ilIJgzr65KJgvlpyng2DQDIxLz2IRFBKuIhk/CQiUX6cqm4YFjCF9Y1GG88nXac1LCepMh8ikwnEXFGn5PyJnCGiZdGKPIwKBMEQC0I+m2sFoRiy7TTCdAIKHxmDMduPcL6M/fBULHJJvXhsAIlHKQiVUTLAWMMapUAVb4GaqUGKkXBQ6kxKdO+FvTj1QqD+grT6ctzBkRVwXGAo1FrRNEkorBForROlGWh1ghIeJyLWynZuHDvCZYdumNSh+eAcuxXSRXFcdAnJyKew+McpUmdGu4O4DgOQkEyqEvW1AVJt2GZPT8jIo7D0U87lbtVhvpwEFLJmMBw8a97OL7llv7O3+GtA+Bby9U4YVAYJwXGCYGgLyvpQki2IHUUQSwRgS/4BceJOPC89lRFXsSB4wuGee14bRkMXpsfzxfMy2i8oEb2H5ugTs+B1EEF91AN+LAu4PwbghdpO0uqFGqc2RlvFCPHAX0ntYBXTRfwll7wqBzyVRrceZSDmylZuJ2SjVuPsnErJRvxqblQako+XFPSjkQi4iDiOUh47fUgxDwPMc9BLOIKnguHRTwPCV9QX8QXPGuH9fUsmV7EIU+hwZKDt4w+WhwH/F/PBvB0lkJU8N6JOA6igvdWxHHgC95HnuMK6qCgTkF9ngPPGdfhOYDnC6Y3mIfh9Npy0+lTsvLx0vyDRtuQ54Bto9vBw0kKhVqAQiVAodZAoRagVAvaMrUGCpUApUaAQqUpKNOW6+sUTKetYzCd4XwMplWqBaP3mjEgXyUgv4TDdQ/SrbyeRjEMt7PRw8IyntN+HnieQ45Cjf8eGt+oVMMY4lNzq+xhIEo4yDOLMYb8bBUyU/ORmZaHzNQ8ZKXlIzMtH5mpechMywPTGE4AXDuRiGsnEsu1XLGUh0QmglgqgkQmMnktkYkgkYoglvHFjzcoU+apzV7jYMDUVpXTl+PeaWDbKCgDbyPusg8EFQ/v9jHwiYk0qeri6YCDv17T39yy46Bw+AS7VnhIGXkq3ErJNkoqbqVk496TXBTXpusg4VHH2wU13B3x19Vko504zwFbR7VDDXdHbTIgKkwYeMNrVthBTU9HTN78LzSMQcRxmP1GY7v04ShJTQ8nzHnjOZM4n6vhbpd4BIEVJigajT5RefAkF9GxZ4w+IzwHLBvUDD5uDtqdPVeQ+BUkV8WWGYzTJRAVmVQnZuSh3dwDRkmciONQ29upwpZR0eiQCnmqKfLU2kRCl1Sk5SMrVfucmZavvTKglQJD5XDzcoS4mASgMGHQDfOF46Qiyy9dbAW7XONAmQsc+AI4+R0ABrj4IcNlEB4uWguIRKj16y9wev55k8mOHTqF/EwBrdo/X+4reKZkKfTJhP7xKBuPshTFTid3lKCerwvq+bhonwseNdwd9TuEdWcSqvxO3FBiRh7iU3NR29upyv66BapHnNXpvbdVrNSHwwqUcDw7VEpNYTKRmo+sgqRC11qhvWJfCTjAWS6Dm5cDXL0d4OblCDdvB7h6OUIk5rDly/PV4uqIQCVf4yDub2D7GOBJnHY4YiDQbRbg5IkHH09A5o4dkNSsiZCtWyByMT4B8syZMwCAFi1aWLQojcBwr6B/hWFrxe1H2cjKL/799Xdz0CcTdQ0SDG8XqUUtEtVh50hsozq997aIlfpwkKeKpR0xNWoBWY/zzbdQpOYhL0tV6rIcXCRw83KAm3dhMqEbdvV0gEhS/J0bq9N57i4eDraPTZEF7JsGnF2pHXarCfReBIR20Vfxn/oZ8s6fh+r+fSR/MQuBc+cYzSItV4PEbA1qZuQZfUEq1BrEpeaYtFjcSc2BUm3++DrPAbW8nFG3SGtFXR9nuDpIyrWqAXLHKr+zIbZRnd776hQrtXA8ZexxLQZrFb3GQevX68KvtpvZForsdEWpnS2lDiK4ehskEbrkwssBrl4OkDqUL6+mqyMWuPUX8Mc4IOOedviFGKDzDMDB9G8s9+xZ3B06DBAE1Pj6K7j16AFA2wT86abLuj64eKm+NyQiHrdSspHwOLfYjplSMY863s4I9XM1OhRS29sJMjHd5JGQikSHVKzwrCYchjtycECrV+tor8UgaK+/oH0I2vPtNUz/zDTa8/9ZkXLD+sbz0NURtNMK2nkYlutea+etm157xkbagxyr1kss4YskEdqWCl1yUZ7rLRAL5D0B9vwfcPE37bBHbeDVb0u9HHnKokVIW/49eDc31Nm2FY8c5Wg392CJ+aOrg9hs/4qaHk4QVcJZLIQQSjis8qwlHIwx3Ln4CLu//9feoZSZk1wKzwBng8Meuv4UjnB0lVBCYS/XdgI7PgSykwFwQOv3gZenAFLnUidlKhXiBw5C/uXLYBHP46NW7+JqimmyObxdbXRp4Id6vi7wcZXRe02InVEfDmLicWIObpxOwo3TyWbvGggAEge+4FoMvPaaCSLt+fscr72uAs9z2nEiw2HdeNNyXX2uaLmIA88X1ucMyw3GKXJVOPDLNaPDJBwP9P30hWf7cEVVk5MK/PkJ8O8m7bBXKPDaUiC4lcWz4CQSOM34Allv9YPknwtorPoDV+u/bFRHxHF496U61eYYNCGk7CjhqGZy0hW4cSYZN04nIfVetr5cLOWhVhp3rON4YOC01lVuR84Yqk1HzGcOY8B/m4FdE4DcNO0b1G4s0OFTQGL5e6RUC/j5RDwW749Dm4av4sOLGzDs2h5EvNYFU69pIDDoT+OjZIOQZwMlHNWAIk+NOxdScON0Mu5ff6JvHeB5DsGNPFG/pT9qR3jj5pnkarEjb9guEMENPakjZlWTlQTs/Ai4tkM77NsIeG0JUKOZVbM5eC0Fn++4gjup2sMnD9p0hso5BZJjh9Fm7TdY9uFEJKrF6NauGSUbhDxDKOGwUFJOEhIyExDsFgx/Z3+bL0+jFnD33zTcOJ2M+MupRnfJ9K8jR/2Wfqj3gi8cXaT68uq0I6+UUziJZRgD/vkd2P0pkJ8B8GLgpQnAi+MBsbT06QvcSsnC5zuu4vAN7a3dvV2kmNAtDH2aB4FlPIe416KgjItDwNrV8OnQAd55dQFKOAh5ZlCnUQtsvrkZ049PBwMDz/GY1mYa3gh9owIiNcYEhsTbGbh+Ogm3z6UYXbTKw98J9Vv6IbSFP+Q+9CVNKkj6PWDHOO0prwAQ0FTbV8O/scWzyMhVYdH+G/j5xF1oBAaJiENMuxCMfrme0bUwco4fR0LMiMIJeR4BM2fAvU+filkXQkiFoLNUrFCRGyspJwldN3YFM+jlyIPH7jd3I8AloLyhAgDSHmTjxulk3DiThOzHhZdkdpJLEdrCD2Et/eEd5EK990nFEQTgfCywdyqgzAJEMqDTJKDNGEBkWcOnWiPg9zP38NXe63iSq70AW+cGfvi/yAYI8TY9i0WVlIRbnV6G8Y0qeNQ7sB8Sf9u3GhJCLENnqdhJQmaCUbIBAAIEDNs9DDGNY/Bq3VfhJLH+ZjnZT/ILOn8mI+1+YedPiYMIdZ/3Qf2W/qgR5lEpd9Akz5jHd4DtHwDxf2uHa7bUtmr41Ld4FsdvpWLmjiu4lpQFAAj1dcHU3g3RPtSn2GmU8Xdhcuc0QUD6li3wfu89SqgJecpRC0cpknKS0G1TNwjM/KWVXSQuiKoXhQHhAxDsVvJNcxS5Kty+8Ag3TiXhwc30ws6fIg7BjbwQ1softZ/zglhKV04kNiBogNMrgP0zAVUuIHYEOk8DWr4L8JZ95hLScjFr1xXs+S8ZgPZGaOO71MegVsEQi4q/RDxQ0MLx8iva1pUiHBo3hs8HY+Dcvj0lHoTYGR1SsYIt+nDMODEDAhPAczwmtpgIBobfr/2Ou5l3AQAcOLxY40UMbDAQbQPbgue0X74albbz5/XTSbh7OQ0ag3tCBNSTo35Lf9Rr7gsH5/Ld94GQEj26AWwfDdw7pR2u3R549RvAs45Fk2cr1Fh68BZW/h0HpUaAiOcwuFUwxnWuDw9nyzuWpm/ciIdTp4ETBIDn4fzii8g9exYsNxcA4Ni0KXzGjYVz69ZWryIhpGJQwmEFW2yspJwk3Mu6hyDXIP1ZKgITcPzhcay5ugZ/P/hbX7e2a2286ToUgQ/DkfDPE6POn56BzgWdP/3g5kWdP4mNadTA8W+AQ3MBjQKQugJdZwLNogG+5BYJABAEhk3n72P+nuv6W763D/XGZ70aor6fa5lCOrtnD/jkZDzXtSsk/v5Qp6Uh7ceVeLJmDZhCuwynli3hM/YDODVvXqZlEELKjhIOK9jj0uZ3M+9i/fFtiDv7GLVSnoOL0kM/zsFNhAataqB+Kz941aDOn6SSJP0LbBsFJF7UDtfrDPRaBLgHWTT5ubuPMeOPK7h0PwMAUNvLCf8X2RCdG/iW6zNc3O3pVSkpSPt+BdLXrwdTaTuhOrdrB5+xH8CxSZMyL48QYh1KOKxQmQlH1uN8/eXFHz8svE+ESqzALc/zuOl9Folut9G2RlsMbDAQL9Z4UX+4hZAKlfEAeHwbkAdrr6vx95eAoAYc5ED3uUDEAO3teUvxMD0Pc/+8hu3/PAQAuMjE+OCVehjWtnaF3Jm1uIRDR/XwIVKXf4/0zZsBtbZ10KVjR/h8MAYODRuWe/mEkJJRwmEFW2wsw9u+i6Ui3D6vvfLnw5vp+jq8mEPtxt6o38oPwY08cSb1NH6/+jsO3z+sP9Ml2DUYb4W/hah6UXCVlq1JmhAT538G/hgLFO3cHBYJ9PoKcC39tNM8pQYrjtzBssO3kK8SwHFA/xeC8FHXMPi4yios1NISDh3lvXtI/W4ZMrZt03c0de3SBd5jRsOhvuVn1BBCrEMJhxUqemMZ3fYd2suGG36v16jvjvot/VHneR+znT/vZd7D2utrseXmFmSptKcROood8WrdVzEwfCDquFvWcY8QAIBaAWSnFDySgUfXgf0zgKI3fu/5JdDi7VJbNRhj+ONSIubuuoqHGdqbALao7YFpvRuhcQ15hYdvacKho4iLQ+rS75C5c6f2tFqOg1uPHvAePRqyOiEVHh8hzzpKOKxQkRsr+0k+Vk8+bvJd7u7vhAZtAhDawg+unpZdojtXlYsdd3ZgzdU1uJ1xW1/eOqA1BjUYhPY12kNk4emJ5CmjUQO5qcaJRHay9nVOkbL8DMvmOWwHENK+xCqX72dgxh//4ezdJwCAGu6OmNQzHJHPBdisr5G1CYeO4uZNPFqyFFl79mgLeB7yV1+F96iRkAZZ1i+FEEtU9q0sqhpKOKxQkRvr/vUn2Pb1BZPyqA+fR40wDzNTlI4xhtNJp7Hm6hocun9If42PGi41MCB8AKLqRUEuq/hflqSMdH0jPOsC8hqWT8cYkPekMHEoKZHISYVJVlsSXgK4+AEuvoDMDYg7bDw9JwLGXS423pSsfHy55zo2nLsPxgBHiQjvd6yLd1+qAweJbZPePcf3IFmZjK4tupbpyzz/6lU8+uZbZB88qC0Qi+H++uvwfv89SAIDKzha8qwpehkEW93KoqLYIjmihMMKFd3C8fPk40YXSOR4YOisthVy87EH2Q+w7to6bLq5CZnKTADawy296vTCwPCBqOdRz7oZlnXnWNmqS5yGfSM4XnuWR+M3DJKHkhKJFEBQWb4sjgecvAsTCf2zr2mZg7vxoZLzPwN/jAOYRpts9F4ENBtqsgiFWoNVx+Kx5MAtZCu0HTKjmgZiYo/wSrlza0Xelyjv0iU8+uZb5Bw9CgDgJBK49+0Lr//9DxI/33LH+qz/yrUFe2xTjaBBrjoXOaoc5KpyjV7nqAvKCl6n5KZg883NJvNoX6M9nCRO4MCB4zjwHA8Ohc8WlXEceGifjV4XjDc3nbn56ubFgcOlR5ewK25Xhd/nixIOK9ikD0eR2743bFexv6Ty1HnYeWcn1lxbg5tPburLW/m3woAGA9CxZsfSD7cU3Tn2Xmx2p2N3ReOM/BqIeEt7RoWg0l4RU1ADGlVBmaagXF04rDEcNnhoDKYXDKcvYX4aw3kYTJ+fAdzYXf71dfQAnA0TB8NEwqDMycviK36alfFAe9lyzzomSRxjDPuuJGPWrqu4m6a9yFZETTmm9m6E5rXK1lJXGpVGhfvZ95GQmYC7mXdx7fE1/HHnD5N6zhJnSHgJRJwIIk4Enue1z1zhs+61iBeZjAuKy0G7XQkIvqk91KSW8LjyUhAudasHldzJZH7617zxfHTz5zke1x5fw8GEg2Bg4MAhsk4kWvq3hEQkgYSXQMpLIREZP4t5MaQiqXZ8kWcJL7Hp6fDVITmytOVApVFpE4KCxED32jBZKDV5MJgmX5Nvh7W1D57jsefNPeX+DFDCYQVbnaVSGbd9Z4zhbPJZrLm6BgfuHdAfbgl0DsRb4W/hjdo9INeogdy0gsdjbXP8k3jg1HKYNMsHtwZEUm3zPmMFvV0LnplQWGZUDjNl5uqyYqYXiiyLFZYJGuBp+AKQumiThdISCWcfQFxxZ3iUxfWkLHy+4wqO3koFAPi6yvBJ93C88XyNct+rRy2okZidiLtZd3E38642ucjSPj/MfggN01TEKlik0V0B/Y8ICL+vHc6XAH++wOGPljyynex/7RsxLzZORgqSFV1CYi5J0Sc4RaYxnPZK2hX8GfenUXLU1KcpWME/3XcIY9rXujPmGGMQIICxgpoGzwK03wOG89DtKnTz0E/DmPGwbh4Gy8pWZmNn3E6TbRLuGQ61oDZKGFTWtApas/05MZwkTnCWOMNJXPAscTJ6zcCw4foGo/tnceAwuulouEhdTNbN6JkZbyvdti1aV1eme190rw23veG8zM2bgSE1LxVnk8+arOdP3X5CC3/r+kcVRQmHFexx4a8y0ai0CYM+eTBIInJTkZj9EOty47GJZSCd075NDoKAyJxcDMjIQpjKNn+YVQInAnix9iESF77mJdpWAF4MiCQFZSKDcQXD+nFmHqLiyg3mzYsBZY72Cp0ocjxt5CmrbnRmL09ylPj6rxv49eRdCAyQinm80z4EIzvWg7PM8vs2CkxAUk6SSUJxN/Mu7mffh1pQFzuto9gRwa7BCHYLhrejN9ZeW2t852WOxw9df4CnzBMaptF/wWqYRvsQNPrh4p6N6ggaOJ6/Dt/f9sPppvY6IhpHKR72ao4Hkc2gdJSUOD+1oEZSThIO3z9ssi5NvJvASeIElaCCSqOCSlBBqVFqh4u8VmlUULPitwspnZSXFiYFEic4i52NkgRd8uAscYaj2FH/2lwyoWtFs6SVqbr04TB3ny9q4bADm2ys0vocCAKQn24meTBMItK0rRG6YYVlZxvkcxz+dHbCGjdXXJMV3rfiBY0IA3kPdHIMgljiCFxaB5OdY7c52qZ6jtMO6595AAavDcebLTdXnythPoblBnWzkoFV3Y3PK+ZEwMgTgHtw4c6+qlyN1cK+EVVBYkYe4lJzUNPDEQeupuDrv24iI0+blHZv5I/JPRsg2Mv8nY0ZY3iU9wh3Mw1aKjLvIiErAfey7kGhURS7XCkvRbBbMIJdg1HLrRaC3bTPtdxqwcfRx+hLfvPNzZhxfAYE2PbLnDGG7IOH8Oibb6C4dg0AwLu5wStmODwGD4HIxbnYaSvqi1wjaKBman0iUjQhMSzTPwtK/TiVpmDYzGvdNIk5iTiZeNJk2c18m8HL0UsfO6f7V9B/wGi4SF8BAEZ9DACY9B0wmUcx89RNl6PMwS9XfzFpOZjWZhoCXQKNkgVdgiHh7Xd/KXO3sqiKbJUcUcJhhQrfWCe+A/ZMhnZnzgHBbQAnT4PWiVTt2QjF3FG2ZJx2Xk5eBo+iw9oHc/TAhdyH+O32VuxP2K9vrvZ39kf/sP54M08Nxd4pSBDzCFYL8O/5VdXcOZ7/GUm7xlf9OAskJV1EQuJZBAe8AH//pvYOx6x1ZxIweftRQJIKQekNptae5RTu74qpvRuibV1vMMbwOP8xErISEJ8Rj4SsBH1ykZCVgDx1XrHzF/Ni1HSpWZhQuGqfa7vVhp+zn1VXz91zfA9SlCno0qKLzb/MmSAga+8+PFryLZS3tKeiizw84PX2CHgMHAje0XxHWfqVW/GqyzatbmyRHFHCYYUK3VgZD4BFjS1PJmTykhMIZ2/jcQ7yMnUUTMpJwvrr67Hp5iY8zn8MABBxIn0SwoHDkIZD0K5GO6NjsbrjfwBMj91qK5oejzUsL3K8FihSbq7MsJwxXEi5oO9ZzYFD95DuiPCJMFo/w4+lYbxFy8xNYziuXNMyhitpV3DwXmHnwa61uuJ5v+ch5sTgeR5iTqzvyCjiRdphw9cF48S82KjTo+FwSfVEnAgcOOSqBDzJUeKxweNJrvb5QXoudsVthyxgMziOgTEOytQO6BkegbqB+biXVXgYJFuVXdxHCjzHo4ZLDaOEQtdSEeAcADFv+WGYkpT1OhzlwTQaZO76E6lLlkB5V3uHZ5G3N7zffQfu/fuDl5n2s3nWf+XaQnXZps86SjisUKEbK+4IsLq3aXnrkUBQK+PkwdEDEFt+q+6KoNAosDtuN1b/txo302+WPgGplhjjAd0DPBgTAdCVAZwkw6KjUBw4BDgH6JMJw8MgNV1qQiKyfTO2PRIOHaZWI2P7H0j97juo7mt7l4r9/OD9/ntwf+MNcNLK/futKLQjJxWJEg4r2LyFo5SLKtnDqcRTeHvv2yblNVxqwFnibHRMFYDZY67a/1zxdQ2mMVvXTFnR8ieKJ7iQYnohtRZ+LeDp6KldHjijZxjsSA1jMqpjZpyhEqczUwYAKbkp+PvB32ZjdXdwh1pQQy1ooFCrkK9WQaFWQ6FRQalWQyWoodJo9HXUTA2hoCMkgwBAAMdpAAgAp31wXFkOyRWvrlt9NPV7zugwSJBbEGQi+541Y8+EQ4cplUjfshWpy5ZBnZQEAJDUqAHvke9D/tpr4MQV05pTWVRJSVDG34W0di1I/KtuwkFxVjxbxGqrhKN6/VXZg7wG0Hsx2B/jwDENGCcC13tRlUo2AKCWWy1w4Ip0yuIR2z22Sv3iScpJQteNXU3inPXiLPg6+UMjMAiMQSMwaBiDIBi+hpky7bNGYGAMZZpOuzyYlHlKHuFvHIVRR1zG40l8HyTkOuNJwWENoQwpu4jn4OEkgYeTFJ7O2oe7kwQeTmLIncXwcBLBzZGHm6MIrg4c3BxFkIgLOyJqBG3yomZqpOSkYOzBsSbbdHnXpVXqva9KOKkUHv37QR71GtLXb0Dqiu+hevAAif83BakrVsBn1Cg4Nm8O1b37VWqnwxgDVCowlQpMrQZTqZCxdRtSvvpK23Gd5+Hz4YeQ9+wB8IaduAsSa76wEzen68xdUKYfLqGsPNcSSd+4EYlTp+njDJg5A+59+lTg1rGc/ne27tR+g9fpmzYhaebn+jj9p34G9zeKHKIqbjtYW16GaQzfg6q0TS1BLRwW+P10Ar7dcgjBXDISmB+G93wRvZoEQK3R7pjUBTsytabgWRC0OzZdudGzoB82GacRoGEorKMxHi8w3TKEIvNkyM5X49DDHUbH8RWJb6C5VzdIxaKC8+UBgWnno/s7E5h2N1VYxiAU9NcQBG05oJsORvPRTVdwI0+jeevr6utoX2sEBpXjSZM4VRn2+7VbEon8jEWxujqI4ekshYeTFF7OUngUJBHGw5KCYRlcHcTlvgaGoep0HL8qtHAUJeTl4cnva5H2ww/QPHliPJLj4BkdDed27cBUSjCVCijY2et2+kxp8FqlAlOr9K9hrk5xdVWG5aZ1oa4Cp9oWTUJ0ZSUkLmAMQmamyax4uVxbX9+HCmaTAN1r/fhi6ul3ZiXM46nG86h3YH+5E2Q6pGKFitxYiRl5aDv3QLX5nHLiDPBS4zMVqiJr4+Q4QMRx4HkOIo6DiOfAcyh4LlLOm6urG8dBZDCdiC8ynuMg4rXj03KUOHXnsUmsY18JRas6noUtE45SSMWWn6VhK9XlOH5VTDh0hJwcPFq2HI9//NHeoZSPRHvNCab/ZSEY73jJUyt49Wo4t2pZrnlUqUMqS5cuxYIFC5CUlISIiAh8++23aNmy+BXcsGEDPvvsM8THxyM0NBTz5s1Dz5499eM7duyIw4cPY86cOfj000+Npo2MjMSuXbswbdo0TJ8+vSzhlktcao7Zv1ERD0hEPMQ8DxHPQVyw4xIX7NQKhwvGiwp2bgU7Nu0wX8J0xuOLLkPE80bzzFGosXj/TTC1HJqCHTjHAf/XswE8naXaHxv68+V1rwGeg1EZzxf0t+AM62iftefUAzyvra89d7/wmS9o6jOcj37+BeNTs/PR//uTEAzi5DngjzEvIlDuqE0ICtZJlziIeM6ml4UuTmJGHtrNPWAUq4jj8FbLoEq574i1/J39q3SiUR3wzs5wefFFswmHJCgIInd3cGIxOIlE+xCLwUm1r2FULjFbhxOLtclA0TqSIvOUFJ2ntLCOwXjVo0e4/Upn6JsZAe2v3H17i/2Vay4JKVrG9Fcb1pbpf5fqxguCrjmilPloh9WPHiEherhxwsPzCP5pJcTe3oUtIgAKOn1pXxmWF31d8D1ldpzV89KOV6WkIC7qdZPtGbJtKyR+froNaHa7Fldept/0FixDlZKC+Df7mMQqrRVs/fIqidUJx7p16zB+/HgsX74crVq1wqJFi9CtWzdcv34dvr6mN0w6fvw4BgwYgDlz5qBXr15Ys2YNoqKicP78eTRu3FhfLygoCLGxsUYJx4MHD7B//34EBASUcfXKL8TbGTwHo+P0Io7D0YmdqtxOJ8DdAZM3/wsNYxBxHGa/0Rj9W1StD1+ItzPmvPGcSZyNAqtea0yA3NFsrFXtfScVS1q7lvZQQJEv8lq//Fxl+nLoSAMCEDBzhslx/JLiNOq7oSuzcZyyOnUQ8PlMkzidW7e28ZKtI3J3N7s9HUJD7R2aCbGXl9Xvvb1ZfUilVatWaNGiBZYsWQIAEAQBQUFBGDNmjEnrBAD0798fOTk52LFjh76sdevWaNq0KZYvXw5A28LRsGFDrF+/Htu2bUO7du0AALNnz8bJkyeRkJCAqKgoi1s4Kro5aN2ZhCq/I9dJzMhDfGouans7VekdY3WJE6hesVYHVfmQik5164ynSkqC8m4CpLWCq/QOh+KseLaItUocUlEqlTh37hwmTZqkL+N5Hp07d8aJEyfMTnPixAmMHz/eqKxbt27YunWrUZlUKsWgQYOwatUqfcIRGxuL+fPnl5poKBQKKBSFl17OyNBeMjzTTCelsugR5o7nRzZHQloegr0c4S93rLB5VzRnDmjkIwGgQmZm1b3XSnWJE6hesVYH2dnai49V1b8hAOC7doVvRASU9+5BGhQE3s+vSscLJyegQTjyAORRnOVXXeIEbBKr7rNe0V08rUo4UlNTodFo4Kc7llXAz88P1wruV1BUUlKS2fpJBee+G4qJiUH79u2xePFinDt3DhkZGejVq1epCcecOXMwY8YMk/KgoKBS1ogQQggh5mRlZUEur7jD3VXqOhwREREIDQ3Fxo0bcfDgQQwZMgRiCy7AM2nSJKNWFEEQ8PjxY3h5eVVYZ8PMzEwEBQXh3r17VfoOtBRnxasusVKcFau6xAlUn1gpzopni1gZY8jKykJgYGCFzE/HqoTD29sbIpEIycnJRuXJycnwL+bYkb+/v1X1Y2JisHTpUly5cgWnT5+2KC6ZTAZZkXshuLu7WzSttdzc3Kr8BxCgOG2husRKcVas6hInUH1ipTgrXkXHWpEtGzpWXTxAKpWiefPm2L9/v75MEATs378fbdq0MTtNmzZtjOoDwL59+4qtP3DgQFy+fBmNGzdGw4YNrQmPEEIIIVWU1YdUxo8fj2HDhuGFF15Ay5YtsWjRIuTk5GD48OEAgKFDh6JGjRqYM2cOAGDs2LHo0KEDFi5ciMjISKxduxZnz57FihUrzM7fw8MDiYmJkEhsfxMpQgghhFQOqxOO/v3749GjR5g6dSqSkpLQtGlT7N69W98xNCEhAbzB+d1t27bFmjVrMGXKFEyePBmhoaHYunWr0TU4irLV4ZDykMlkmDZtmsmhm6qG4qx41SVWirNiVZc4geoTK8VZ8apTrE/lpc0JIYQQUrXY/wYQhBBCCHnqUcJBCCGEEJujhIMQQgghNkcJByGEEEJsjhKOMqhdu3bBLdcLH3PnzrV3WMVSKBRo2rQpOI7DxYsX7R2OWa+++iqCg4Ph4OCAgIAADBkyBA8fPrR3WEbi4+MxYsQIhISEwNHREXXr1sW0adOgVCrtHZqJWbNmoW3btnBycqpyZ30tXboUtWvXhoODA1q1amXxBf4q05EjR9C7d28EBgaC4ziTez9VBXPmzEGLFi3g6uoKX19fREVF4fr16/YOy6xly5ahSZMm+otTtWnTBn/++ae9wyrV3LlzwXEcxo0bZ+9QjEyfPt1kHxQeHm7vsEpFCUcZzZw5E4mJifrHmDFj7B1SsT755JMKv0RtRevUqRPWr1+P69evY9OmTbh9+zb6VLG7c167dg2CIOD777/Hf//9h6+//hrLly/H5MmT7R2aCaVSib59++L999+3dyhG1q1bh/Hjx2PatGk4f/48IiIi0K1bN6SkpNg7NCM5OTmIiIjA0qVL7R1KsQ4fPoxRo0bh5MmT2LdvH1QqFbp27YqcnBx7h2aiZs2amDt3Ls6dO4ezZ8/i5ZdfxmuvvYb//vvP3qEV68yZM/j+++/RpEkTe4diVqNGjYz2QUePHrV3SKVjxGq1atViX3/9tb3DsMiuXbtYeHg4+++//xgAduHCBXuHZJFt27YxjuOYUqm0dyglmj9/PgsJCbF3GMVatWoVk8vl9g5Dr2XLlmzUqFH6YY1GwwIDA9mcOXPsGFXJALAtW7bYO4xSpaSkMADs8OHD9g7FIh4eHuzHH3+0dxhmZWVlsdDQULZv3z7WoUMHNnbsWHuHZGTatGksIiLC3mFYjVo4ymju3Lnw8vLC888/jwULFkCtVts7JBPJycl455138Msvv8DJycne4Vjs8ePH+O2339C2bdsqf8XZjIwMeHp62juMakGpVOLcuXPo3LmzvozneXTu3BknTpywY2RPh4yMDACo8p9HjUaDtWvXIicnp9hbXNjbqFGjEBkZafRZrWpu3ryJwMBA1KlTB4MGDUJCQoK9QypVlbpbbHXxwQcfoFmzZvD09MTx48cxadIkJCYm4quvvrJ3aHqMMURHR+O9997DCy+8gPj4eHuHVKqJEydiyZIlyM3NRevWrbFjxw57h1SiW7du4dtvv8WXX35p71CqhdTUVGg0Gv1ViXX8/Pxw7do1O0X1dBAEAePGjUO7du1KvIqzPV2+fBlt2rRBfn4+XFxcsGXLlip5v6y1a9fi/PnzOHPmjL1DKVarVq0QGxuLsLAwJCYmYsaMGWjfvj3+/fdfuLq62ju84tm7iaWqmDhxIgNQ4uPq1atmp125ciUTi8UsPz+/ysS5ePFi1q5dO6ZWqxljjMXFxVX6IRVrt+mjR4/Y9evX2d69e1m7du1Yz549mSAIVS5Oxhi7f/8+q1u3LhsxYoTN4ytPnFXpkMqDBw8YAHb8+HGj8gkTJrCWLVvaKarSoRocUnnvvfdYrVq12L179+wdSrEUCgW7efMmO3v2LPv000+Zt7c3+++//+wdlpGEhATm6+vL/vnnH31ZVTykUtSTJ0+Ym5tblT1EpUOXNi/w6NEjpKWllVinTp06kEqlJuX//fcfGjdujGvXriEsLMxWIQKwPM5+/frhjz/+AMdx+nKNRgORSIRBgwZh9erVNo0TKN82vX//PoKCgnD8+HGbN7taG+fDhw/RsWNHtG7dGrGxsUb3DrKlsmzP2NhYjBs3Dunp6TaOrnRKpRJOTk7YuHEjoqKi9OXDhg1Deno6tm3bZr/gSsBxHLZs2WIUc1UyevRobNu2DUeOHEFISIi9w7FY586dUbduXXz//ff2DkVv69ateP311yESifRlGo0GHMeB53koFAqjcVVJixYt0LlzZ/2NU6siOqRSwMfHBz4+PmWa9uLFi+B5Hr6+vhUclSlL4/zmm2/wxRdf6IcfPnyIbt26Yd26dWjVqpUtQ9QrzzYVBAGA9pReW7MmzgcPHqBTp05o3rw5Vq1aVWnJBlC+7VkVSKVSNG/eHPv379fvvAVBwP79+zF69Gj7BlcNMcYwZswYbNmyBYcOHapWyQagfe8r4+/bGq+88gouX75sVDZ8+HCEh4dj4sSJVTbZyM7Oxu3btzFkyBB7h1IiSjisdOLECZw6dQqdOnXC/7d3ryFRdWscwP82NmWzzfESOnkZQ42GMrNMi0IsoxSKqCiRLpMGISlYKkVFlBR2wcKQqCiyKKoPYfYhSSM0M29laWUXVMwpszJMSxPTab0fDmfz7mOandc509H/DwZmzVrr2c9sRnmYtZhlb2+P0tJSbNu2DevWrYOjo6O105N5eXkp2pIkAQB8fHzg4eFhjZT6VV5ejgcPHmD+/PlwdHREfX099uzZAx8fnz9qU1lTUxPCwsKg1+uRnp6OlpYWuc/Nzc2KmfVlMpnQ2toKk8kEs9ks//6Kr6+v/FmwhqSkJBiNRgQFBSE4OBgZGRno7OxETEyM1XL6mY6ODtTV1cnthoYGVFVVwcnJqc/flrXEx8fj8uXLuHHjBuzt7fH+/XsAgIODA+zs7KycndLOnTsRGRkJLy8vfP36FZcvX0ZhYSHy8vKsnZqCvb19nz0wGo0Gzs7Of9TemJSUFCxbtgx6vR7v3r3D3r17oVKpEB0dbe3UBmblJZ3/O5WVlSIkJEQ4ODiIsWPHCoPBINLS0v4n+zf+CWvs4RisJ0+eiAULFggnJycxZswY4e3tLeLi4sTbt2+tnZpCVlZWv3sn/jRGo/GneRYUFFg7NZGZmSm8vLyEWq0WwcHBoqyszNop9VFQUPDT+2c0Gq2dmqy/z2JWVpa1U+sjNjZW6PV6oVarxYQJE0R4eLjIz8+3dlqD8ifu4YiKihI6nU6o1Wrh7u4uoqKiRF1dnbXT+iXu4SAiIiKL4+9wEBERkcWx4CAiIiKLY8FBREREFseCg4iIiCyOBQcRERFZHAsOIiIisjgWHERERGRxLDiIiIjI4lhwENGIsnHjxj/2IDai4YwFB9EI0NLSArVajc7OTvT09ECj0cBkMlk7LSIaQVhwEI0ApaWlCAgIgEajwaNHjyx2CNn379+HPCYRDQ8sOIhGgJKSEsybNw8AUFxcLD8fyL+XHlJTUzFhwgSMHz8ecXFxiqIiLCwMCQkJ2Lp1K1xcXLBkyRIAwLNnzxAZGQlJkuDq6or169fj06dPfeYlJCTAwcEBLi4u2LNnD/5+tFN3dzdSUlLg7u4OjUaDkJAQFBYWyv3nz5+HVqtFXl4eDAYDJElCREQEmpub5TFmsxlJSUnQarVwdnbG9u3b8Z/HR127dg3+/v6ws7ODs7MzFi1ahM7Ozt+7wUT0Syw4iIYpk8kErVYLrVaLY8eO4fTp09Bqtdi1axdycnKg1WqxZcuWAWPcuXMHL168QGFhIa5cuYLs7GykpqYqxly4cAFqtRr379/HqVOn0NbWhoULFyIwMBAPHz7ErVu38OHDB6xZs6bPPFtbW1RUVOD48eM4duwYzp49K/cnJCSgtLQUV69exZMnT7B69WpERESgtrZWHvPt2zekp6fj4sWLKCoqgslkQkpKitx/9OhRnD9/HufOnUNxcTFaW1tx/fp1ub+5uRnR0dGIjY2V3+fKlSv7FCVENASselYtEVlMT0+PaGhoENXV1WL06NGiurpa1NXVCUmSxN27d0VDQ4NoaWnpd77RaBROTk6is7NTfu3kyZNCkiRhNpuFEP86ujswMFAxb//+/WLx4sWK1968eSMAiFevXsnzDAaD+PHjhzxmx44dwmAwCCGEaGxsFCqVSjQ1NSnihIeHi507dwohhMjKyhIAFMdynzhxQri6usptnU4njhw5orgnHh4eYvny5UIIISorKwUA8fr1637vAxENDX7DQTRM2drawtvbGy9fvsTs2bMxffp0vH//Hq6urggNDYW3tzdcXFwGjBEQEIBx48bJ7blz56KjowNv3ryRX5s1a5ZiTnV1NQoKCiBJkvyYMmUKAKC+vl4eN2fOHNjY2Chi19bWwmw24+nTpzCbzZg8ebIizt27dxUxxo0bBx8fH7mt0+nw8eNHAEB7ezuam5sREhKiuCdBQUGK9xceHg5/f3+sXr0aZ86cwefPnwe+sUT0X7G1dgJEZBlTp05FY2Mjenp68OPHD0iShN7eXvT29kKSJOj1etTU1Pzj62g0GkW7o6MDy5Ytw+HDh/uM1el0g4rZ0dEBlUqFyspKqFQqRZ8kSfLz0aNHK/psbGx+azlEpVLh9u3bKCkpQX5+PjIzM7F7926Ul5dj0qRJg45DRL/GbziIhqnc3FxUVVXBzc0Nly5dQlVVFaZNm4aMjAxUVVUhNzf3lzGqq6vR1dUlt8vKyiBJEjw9PfudM3PmTNTU1MDb2xu+vr6Kx9+Lk/LycsW8srIy+Pn5QaVSITAwEGazGR8/fuwTw83NbVDv38HBATqdTnGd3t5eVFZWKsbZ2Nhg3rx5SE1NxePHj6FWqxX7PIhoaLDgIBqm9Ho9JEnChw8fsHz5cnh6eqKmpgarVq2Cr68v9Hr9L2N8//4dmzZtwvPnz5Gbm4u9e/ciISEBo0b1/68jPj4era2tiI6OxoMHD1BfX4+8vDzExMTAbDbL40wmE5KSkvDq1StcuXIFmZmZSExMBABMnjwZa9euxYYNG5CdnY2GhgZUVFTg4MGDuHnz5qDvQWJiIg4dOoScnBy8fPkSW7ZsQVtbm9xfXl6OtLQ0PHz4ECaTCdnZ2WhpaYHBYBj0NYhocLikQjSMFRYWYvbs2Rg7dizu3bsHDw+PQS9rAEB4eDj8/PwQGhqK7u5uREdHY9++fQPOmThxIu7fv48dO3Zg8eLF6O7uhl6vR0REhKJQ2bBhA7q6uhAcHAyVSoXExERs3rxZ7s/KysKBAweQnJyMpqYmuLi4YM6cOVi6dOmg809OTkZzczOMRiNGjRqF2NhYrFixAu3t7QCA8ePHo6ioCBkZGfjy5Qv0ej2OHj2KyMjIQV+DiAbHRvzOgicRjRgbN25EW1sbcnJyhjx2WFgYZsyYgYyMjCGPTUR/Ji6pEBERkcWx4CAiIiKL45IKERERWRy/4SAiIiKLY8FBREREFseCg4iIiCyOBQcRERFZHAsOIiIisjgWHERERGRxLDiIiIjI4lhwEBERkcX9BQRXpwnTXdNMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SYD\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for prepend_site in available_nodes:\n",
    "\n",
    "    data = df_prepend.copy()\n",
    "    print (prepend_site)\n",
    "    # prepare dataframe\n",
    "    regex_prepend_site = prepend_site+\"|baseline|all\"\n",
    "    data = data[data.index.str.contains(regex_prepend_site)]\n",
    "#    data.drop('HND',1,inplace=True)\n",
    "#    data.drop('unknown',1,inplace=True)\n",
    "    data.reset_index(inplace=True)\n",
    "    data[['num_prepend','loc_prepend']] = data.bgp.str.split(\"x\",expand=True)\n",
    "    data.loc[data['num_prepend'] == \"baseline\", ['num_prepend']] =  0\n",
    "    data.num_prepend = data.num_prepend.astype(int)\n",
    "    data = data.sort_values(by='num_prepend', ascending=True)\n",
    "    data = data.set_index('num_prepend')\n",
    "    data.drop('loc_prepend',1,inplace=True)\n",
    "    data.drop('bgp',1,inplace=True)\n",
    "    data['total'] = data.sum(axis=1)\n",
    "    \n",
    "    # prepare graph\n",
    "    fig = plt.figure(figsize=(6, 4))\n",
    "    ax = plt.subplot(111)   \n",
    "    ax.set_ylim(ymax=6000000);\n",
    "    ax.axvline(x=0, color='black',linewidth=0.3)\n",
    "    ax.xaxis.set_major_locator(plt.MaxNLocator(11))\n",
    "    data.plot(kind=\"line\",ax=ax, marker=\".\")\n",
    "    ax.set_xlabel('# prepends');\n",
    "    ax.set_title(\"Number of clients (/24) handled by {} in each BGP policy\".format(prepend_site));   \n",
    "    ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "---\n",
    "<h1 align=\"center\">Effect of self-prepending on all the sites</h1>\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:49:20.775955Z",
     "start_time": "2020-03-23T08:49:20.771145Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['CDG', 'LHR', 'MIA', 'POA', 'SYD']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "available_nodes = df_prepend.columns.to_list()\n",
    "available_nodes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## By Catchment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-24T14:51:39.077377Z",
     "start_time": "2020-03-24T14:51:38.629015Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(fig,ax) = init_fig(6,4)\n",
    "ax.set_title(\"Effect of Prepending (catchment) - Tangled\")\n",
    "\n",
    "for prepend_site in available_nodes:\n",
    "# for prepend_site in  ['CDG']: \n",
    "\n",
    "    # prepare dataset\n",
    "    data = df_prepend.copy()\n",
    "    regex_prepend_site = prepend_site+\"|baseline|all\"\n",
    "    data = data[data.index.str.contains(regex_prepend_site)][prepend_site]\n",
    "    self_prepending = data\n",
    "    data = data.reset_index()\n",
    "\n",
    "    data[['num_prepend','loc_prepend']] = data.bgp.str.split(\"x\",expand=True)\n",
    "    data.loc[data['num_prepend'] == \"baseline\", ['num_prepend']] =  0\n",
    "    data.num_prepend = data.num_prepend.astype(int)\n",
    "    data = data.sort_values(by='num_prepend', ascending=True)\n",
    "    data = data.set_index('num_prepend')\n",
    "    data.drop('loc_prepend',1,inplace=True)\n",
    "    data.drop('bgp',1,inplace=True)\n",
    "    \n",
    "    \n",
    "    # plot graph\n",
    "    data.plot(kind=\"line\",\n",
    "              marker=\".\",\n",
    "              ax= ax)\n",
    "    \n",
    "    ax.set_ylim(ymax=3500000);\n",
    "    ax.axvline(x=0, color='black',linewidth=0.1)\n",
    "    ax.xaxis.set_major_locator(plt.MaxNLocator(11))        \n",
    "    \n",
    "    ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()])\n",
    "    ax.set_ylabel('# number of clients (/24) - hitlist replies');\n",
    "    ax.set_xlabel('# prepends');\n",
    "\n",
    "#     filename = \"~/ANT_GIT/PAPERS/ddos_anycast/FIG/TANGLED/self_prepending_tangled.pdf\"\n",
    "#    ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()])\n",
    "#     fig.savefig(filename, bbox_inches='tight', dpi=1200)\n",
    "\n",
    "    ax.yaxis.grid(color='grey', linestyle='dotted', linewidth=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# By Percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T08:49:41.165806Z",
     "start_time": "2020-03-23T08:49:41.146379Z"
    }
   },
   "outputs": [],
   "source": [
    "data = df_prepend.copy()\n",
    "#data.drop('unknown',1,inplace=True)\n",
    "data['total'] = data.sum(axis=1)\n",
    "data_percent = pd.DataFrame()\n",
    "data_percent['bgp'] = data.index\n",
    "data = data.reset_index()\n",
    "data_percent\n",
    "data.head()\n",
    "\n",
    "for node in data.columns[1:8]:\n",
    "    node_pct = \"{}_pct\".format(node)\n",
    "    data_percent[node] = (data[node]/data['total']).mul(100).round(3)\n",
    "    \n",
    "data_percent.head(1)\n",
    "data_percent.set_index('bgp',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-23T23:23:00.761291Z",
     "start_time": "2020-03-23T23:23:00.479134Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib\n",
    "matplotlib.rcParams['pdf.fonttype'] = 42\n",
    "matplotlib.rcParams['ps.fonttype'] = 42\n",
    "\n",
    "(fig,ax) = init_fig(6,4)\n",
    "\n",
    "plt.rcParams.update({'font.sans-serif':'Helvetica'})\n",
    "ax.set_title(\"Effect of Prepending (Percentage) - Tangled\")\n",
    "\n",
    "#available_nodes = ['CDG', 'LHR', 'MIA', 'POA', 'SYD']\n",
    "available_nodes=data_percent.columns.to_list()\n",
    "if 'total' in available_nodes:\n",
    "    available_nodes.remove('total')\n",
    "#print(available_nodes)\n",
    "\n",
    "for prepend_site in available_nodes:\n",
    "\n",
    "    # prepare dataset\n",
    "    data = data_percent.copy()\n",
    "    regex_prepend_site = prepend_site+\"|baseline|all\"\n",
    "    data = data[data.index.str.contains(regex_prepend_site)][prepend_site]\n",
    "    self_prepending = data\n",
    "    data = data.reset_index()\n",
    "    \n",
    "\n",
    "    data[['num_prepend','loc_prepend']] = data.bgp.str.split(\"x\",expand=True)\n",
    "    data.loc[data['num_prepend'] == \"baseline\", ['num_prepend']] =  0\n",
    "    data.num_prepend = data.num_prepend.astype(int)\n",
    "    data = data.sort_values(by='num_prepend', ascending=True)\n",
    "    data = data.set_index('num_prepend')\n",
    "    data.drop('loc_prepend',1,inplace=True)\n",
    "    data.drop('bgp',1,inplace=True)\n",
    "    \n",
    "    \n",
    "    # plot graph\n",
    "    data.plot(kind=\"line\",\n",
    "              marker=\".\",\n",
    "              ax= ax)\n",
    "    \n",
    "    ax.axvline(x=0, color='black',linewidth=0.1)\n",
    "    ax.xaxis.set_major_locator(plt.MaxNLocator(11))\n",
    "    ax.set_ylabel('Percentage (%) of catchment');\n",
    "    ax.set_xlabel('# prepends');\n",
    "    ax.set_ylim(ymax=100);\n",
    "    #plt.gca().set_yticklabels(['{:.0f}%'.format(x*1) for x in plt.gca().get_yticks()]);\n",
    "    ax.axvline(x=0, color='black',linewidth=0.1)\n",
    "\n",
    "    ax.yaxis.grid(color='grey', linestyle='dotted', linewidth=0.5)\n",
    "    \n",
    "    #filename = \"/Users/bertholdo/PAPERS/ddos_anycast/USENIX/FIG/TANGLED/self_prepending_tangled_v2.pdf\"\n",
    "    #ax.set_yticklabels(['{:,}M'.format((x/1000000)) for x in ax.get_yticks().tolist()])\n",
    "    #fig.savefig(filename, bbox_inches='tight', dpi=1200)"
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     "end_time": "2020-02-06T16:27:36.791173Z",
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    "---\n",
    "---\n",
    "<h1 align=\"center\">End</h1>\n",
    "\n",
    "---\n",
    "---"
   ]
  }
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