FirstThroughOpiateAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "import random\n",
    "import os\n",
    "import sklearn as sk\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from nltk import word_tokenize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(style=\"darkgrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = \"Data/lexicons/druglexiconrevised.json\"\n",
    "file = open(filename, encoding=\"utf-8\")\n",
    "drugs=json.load(file)\n",
    "file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = \"Data/lexicons/bodypartlexicon.json\"\n",
    "file = open(filename, encoding=\"utf-8\")\n",
    "parts=json.load(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = \"Data/lexicons/roalexicon.json\"\n",
    "file = open(filename, encoding=\"utf-8\")\n",
    "roas=json.load(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "op_od = pd.DataFrame()\n",
    "op_od[\"all opioids\"] =[2907,3223,3523,3435,3285,3217,3443,3400,3349,3511,3568,3846]\n",
    "op_od[\"other synthetic opioids (fentanyl, tramadol)\"] = [1036,1377,1528,1538, 1542,1458,1601,1576,1711,1885,1983,2155]\n",
    "op_od[\"other synthetic opioids and cocaine\"]=[178,262,290,325,293,292,352,372,412,449,462,495]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "dop_od = op_od[1:].reset_index(drop=True) - op_od[:-1].reset_index(drop=True)\n",
    "dop_od.index = pd.date_range(start=\"1/1/2016\", periods=11, freq=\"MS\")\n",
    "op_od.index = pd.date_range(start=\"1/1/2016\", periods=12, freq=\"MS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dates = pd.date_range(start=\"1/1/2016\", periods=15, freq=\"MS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_tokens():\n",
    "    tokenList = []\n",
    "    for body in df[\"body\"]:\n",
    "        tokens = word_tokenize(body.lower())\n",
    "        tokenList.append(tokens)\n",
    "    return tokenList"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "frames = []\n",
    "for i in range(9):\n",
    "    newf = pd.read_json(\"Data/2016/opcomments2016-0\" + str(1+i), encoding=\"utf-8\")\n",
    "    newf[\"date\"]= [dates[i] for row in newf.iterrows()]\n",
    "    frames.append(newf)\n",
    "for i in range(3):\n",
    "    newf = pd.read_json(\"Data/2016/opcomments2016-\" + str(10+i), encoding=\"utf-8\")\n",
    "    newf[\"date\"]= [dates[9+i] for row in newf.iterrows()]\n",
    "    frames.append(newf)\n",
    "for i in range(3):\n",
    "    newf = pd.read_json(\"Data/2017/opcomments2017-0\" + str(1+i), encoding=\"utf-8\")\n",
    "    newf[\"date\"]= [dates[12+i] for row in newf.iterrows()]\n",
    "    frames.append(newf)\n",
    "df = pd.concat(frames)\n",
    "df[\"tokens\"] = create_tokens()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "opl = []\n",
    "for date in dates:\n",
    "    opl.append(df[df[\"date\"] == date].shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def word_freq(func):\n",
    "    result = {}\n",
    "    for index, row in df.iterrows():\n",
    "        for token in row[\"tokens\"]:\n",
    "            if token in result:\n",
    "                result[token]+=1\n",
    "            else:\n",
    "                result[token] = 1\n",
    "    for key in result:\n",
    "        result[key] = func(result[key])\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "idf=word_freq(lambda x: 1/(1+np.log(x)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mentions_roas(tokens):\n",
    "    result = []\n",
    "    for roa in roas:\n",
    "        contains = False\n",
    "        for term in roas[roa]:\n",
    "            if term in tokens:\n",
    "                contains = True\n",
    "        if contains:\n",
    "            result.append(roa)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mentions_parts(tokens):\n",
    "    result = []\n",
    "    for part in parts:\n",
    "        contains = False\n",
    "        for term in parts[part]:\n",
    "            if term in tokens:\n",
    "                contains = True\n",
    "        if contains:\n",
    "            result.append(part)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def mentions_drug(drug, tokens):\n",
    "    return [term for term in drugs[drug] if (term in tokens)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def remove_slang(term):\n",
    "    for drug in drugs:\n",
    "        if term in drugs[drug]:\n",
    "            drugs[drug].remove(term)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "for drug in drugs:\n",
    "    df[drug] = [mentions_drug(drug, tokens) for tokens in df[\"tokens\"]]\n",
    "df[\"parts\"] = [mentions_parts(tokens) for tokens in df[\"tokens\"]]\n",
    "df[\"roas\"] = [mentions_roas(tokens) for tokens in df[\"tokens\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "slangVector = []\n",
    "for index, row in df.iterrows():\n",
    "    slang = []\n",
    "    for drug in drugs:\n",
    "        slang.extend(row[drug])\n",
    "    slangVector.append(slang)\n",
    "df[\"all slang\"]=slangVector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = [df[df[\"date\"] == date] for date in dates]\n",
    "#for a in dfs:\n",
    "#    print(a.shape)\n",
    "#print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "ac = []\n",
    "fc = []\n",
    "dc = []\n",
    "ad = []\n",
    "fd = []\n",
    "fa = []\n",
    "for a in dfs:\n",
    "    acdf=a[[(len(row['fentanyl']) > 0)for index,row in a.iterrows()]]\n",
    "    fcdf=a[[(len(row['fentanyl']) > 0) & (len(row['cocaine']) > 0) for index,row in a.iterrows()]]\n",
    "    ac.append(acdf.shape[0])\n",
    "    fc.append(fcdf.shape[0])\n",
    "    dc.append(a.shape[0])\n",
    "    ad.append(acdf.shape[0]/a.shape[0])\n",
    "    fd.append(fcdf.shape[0]/a.shape[0])\n",
    "    fa.append(fcdf.shape[0]/acdf.shape[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "    }\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>Fentanyl vs Opiates</th>\n",
       "      <th>Fentanyl and Cocaine vs Opiates</th>\n",
       "      <th>Fentanyl and Cocaine vs Fentanyl</th>\n",
       "      <th>Fentanyl</th>\n",
       "      <th>Fentanyl and Cocaine</th>\n",
       "      <th>Opiates</th>\n",
       "      <th>all opioids</th>\n",
       "      <th>other synthetic opioids (fentanyl, tramadol)</th>\n",
       "      <th>other synthetic opioids and cocaine</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-01</th>\n",
       "      <td>0.135512</td>\n",
       "      <td>0.005570</td>\n",
       "      <td>0.041107</td>\n",
       "      <td>1265.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>9335.0</td>\n",
       "      <td>2907.0</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>178.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-01</th>\n",
       "      <td>0.178005</td>\n",
       "      <td>0.007501</td>\n",
       "      <td>0.042136</td>\n",
       "      <td>1685.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>9466.0</td>\n",
       "      <td>3223.0</td>\n",
       "      <td>1377.0</td>\n",
       "      <td>262.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-03-01</th>\n",
       "      <td>0.157293</td>\n",
       "      <td>0.005865</td>\n",
       "      <td>0.037286</td>\n",
       "      <td>1636.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>10401.0</td>\n",
       "      <td>3523.0</td>\n",
       "      <td>1528.0</td>\n",
       "      <td>290.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-04-01</th>\n",
       "      <td>0.210833</td>\n",
       "      <td>0.009688</td>\n",
       "      <td>0.045953</td>\n",
       "      <td>1915.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>9083.0</td>\n",
       "      <td>3435.0</td>\n",
       "      <td>1538.0</td>\n",
       "      <td>325.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-05-01</th>\n",
       "      <td>0.186471</td>\n",
       "      <td>0.007583</td>\n",
       "      <td>0.040663</td>\n",
       "      <td>1869.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>10023.0</td>\n",
       "      <td>3285.0</td>\n",
       "      <td>1542.0</td>\n",
       "      <td>293.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-01</th>\n",
       "      <td>0.252066</td>\n",
       "      <td>0.009936</td>\n",
       "      <td>0.039419</td>\n",
       "      <td>2410.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>9561.0</td>\n",
       "      <td>3217.0</td>\n",
       "      <td>1458.0</td>\n",
       "      <td>292.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-07-01</th>\n",
       "      <td>0.205439</td>\n",
       "      <td>0.009611</td>\n",
       "      <td>0.046784</td>\n",
       "      <td>1881.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>9156.0</td>\n",
       "      <td>3443.0</td>\n",
       "      <td>1601.0</td>\n",
       "      <td>352.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-08-01</th>\n",
       "      <td>0.252824</td>\n",
       "      <td>0.012260</td>\n",
       "      <td>0.048493</td>\n",
       "      <td>2887.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>11419.0</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>1576.0</td>\n",
       "      <td>372.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-01</th>\n",
       "      <td>0.338741</td>\n",
       "      <td>0.016223</td>\n",
       "      <td>0.047892</td>\n",
       "      <td>4719.0</td>\n",
       "      <td>226.0</td>\n",
       "      <td>13931.0</td>\n",
       "      <td>3349.0</td>\n",
       "      <td>1711.0</td>\n",
       "      <td>412.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-01</th>\n",
       "      <td>0.283896</td>\n",
       "      <td>0.014000</td>\n",
       "      <td>0.049313</td>\n",
       "      <td>3346.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>11786.0</td>\n",
       "      <td>3511.0</td>\n",
       "      <td>1885.0</td>\n",
       "      <td>449.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-11-01</th>\n",
       "      <td>0.263244</td>\n",
       "      <td>0.017562</td>\n",
       "      <td>0.066716</td>\n",
       "      <td>2728.0</td>\n",
       "      <td>182.0</td>\n",
       "      <td>10363.0</td>\n",
       "      <td>3568.0</td>\n",
       "      <td>1983.0</td>\n",
       "      <td>462.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-01</th>\n",
       "      <td>0.347746</td>\n",
       "      <td>0.017445</td>\n",
       "      <td>0.050167</td>\n",
       "      <td>5083.0</td>\n",
       "      <td>255.0</td>\n",
       "      <td>14617.0</td>\n",
       "      <td>3846.0</td>\n",
       "      <td>2155.0</td>\n",
       "      <td>495.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>0.262860</td>\n",
       "      <td>0.014729</td>\n",
       "      <td>0.056034</td>\n",
       "      <td>3480.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>13239.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-02-01</th>\n",
       "      <td>0.309751</td>\n",
       "      <td>0.015201</td>\n",
       "      <td>0.049073</td>\n",
       "      <td>3831.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>12368.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-01</th>\n",
       "      <td>0.305462</td>\n",
       "      <td>0.018139</td>\n",
       "      <td>0.059382</td>\n",
       "      <td>4530.0</td>\n",
       "      <td>269.0</td>\n",
       "      <td>14830.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Fentanyl vs Opiates  Fentanyl and Cocaine vs Opiates  \\\n",
       "2016-01-01             0.135512                         0.005570   \n",
       "2016-02-01             0.178005                         0.007501   \n",
       "2016-03-01             0.157293                         0.005865   \n",
       "2016-04-01             0.210833                         0.009688   \n",
       "2016-05-01             0.186471                         0.007583   \n",
       "2016-06-01             0.252066                         0.009936   \n",
       "2016-07-01             0.205439                         0.009611   \n",
       "2016-08-01             0.252824                         0.012260   \n",
       "2016-09-01             0.338741                         0.016223   \n",
       "2016-10-01             0.283896                         0.014000   \n",
       "2016-11-01             0.263244                         0.017562   \n",
       "2016-12-01             0.347746                         0.017445   \n",
       "2017-01-01             0.262860                         0.014729   \n",
       "2017-02-01             0.309751                         0.015201   \n",
       "2017-03-01             0.305462                         0.018139   \n",
       "\n",
       "            Fentanyl and Cocaine vs Fentanyl  Fentanyl  Fentanyl and Cocaine  \\\n",
       "2016-01-01                          0.041107    1265.0                  52.0   \n",
       "2016-02-01                          0.042136    1685.0                  71.0   \n",
       "2016-03-01                          0.037286    1636.0                  61.0   \n",
       "2016-04-01                          0.045953    1915.0                  88.0   \n",
       "2016-05-01                          0.040663    1869.0                  76.0   \n",
       "2016-06-01                          0.039419    2410.0                  95.0   \n",
       "2016-07-01                          0.046784    1881.0                  88.0   \n",
       "2016-08-01                          0.048493    2887.0                 140.0   \n",
       "2016-09-01                          0.047892    4719.0                 226.0   \n",
       "2016-10-01                          0.049313    3346.0                 165.0   \n",
       "2016-11-01                          0.066716    2728.0                 182.0   \n",
       "2016-12-01                          0.050167    5083.0                 255.0   \n",
       "2017-01-01                          0.056034    3480.0                 195.0   \n",
       "2017-02-01                          0.049073    3831.0                 188.0   \n",
       "2017-03-01                          0.059382    4530.0                 269.0   \n",
       "\n",
       "            Opiates  all opioids  \\\n",
       "2016-01-01   9335.0       2907.0   \n",
       "2016-02-01   9466.0       3223.0   \n",
       "2016-03-01  10401.0       3523.0   \n",
       "2016-04-01   9083.0       3435.0   \n",
       "2016-05-01  10023.0       3285.0   \n",
       "2016-06-01   9561.0       3217.0   \n",
       "2016-07-01   9156.0       3443.0   \n",
       "2016-08-01  11419.0       3400.0   \n",
       "2016-09-01  13931.0       3349.0   \n",
       "2016-10-01  11786.0       3511.0   \n",
       "2016-11-01  10363.0       3568.0   \n",
       "2016-12-01  14617.0       3846.0   \n",
       "2017-01-01  13239.0          NaN   \n",
       "2017-02-01  12368.0          NaN   \n",
       "2017-03-01  14830.0          NaN   \n",
       "\n",
       "            other synthetic opioids (fentanyl, tramadol)  \\\n",
       "2016-01-01                                        1036.0   \n",
       "2016-02-01                                        1377.0   \n",
       "2016-03-01                                        1528.0   \n",
       "2016-04-01                                        1538.0   \n",
       "2016-05-01                                        1542.0   \n",
       "2016-06-01                                        1458.0   \n",
       "2016-07-01                                        1601.0   \n",
       "2016-08-01                                        1576.0   \n",
       "2016-09-01                                        1711.0   \n",
       "2016-10-01                                        1885.0   \n",
       "2016-11-01                                        1983.0   \n",
       "2016-12-01                                        2155.0   \n",
       "2017-01-01                                           NaN   \n",
       "2017-02-01                                           NaN   \n",
       "2017-03-01                                           NaN   \n",
       "\n",
       "            other synthetic opioids and cocaine  \n",
       "2016-01-01                                178.0  \n",
       "2016-02-01                                262.0  \n",
       "2016-03-01                                290.0  \n",
       "2016-04-01                                325.0  \n",
       "2016-05-01                                293.0  \n",
       "2016-06-01                                292.0  \n",
       "2016-07-01                                352.0  \n",
       "2016-08-01                                372.0  \n",
       "2016-09-01                                412.0  \n",
       "2016-10-01                                449.0  \n",
       "2016-11-01                                462.0  \n",
       "2016-12-01                                495.0  \n",
       "2017-01-01                                  NaN  \n",
       "2017-02-01                                  NaN  \n",
       "2017-03-01                                  NaN  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ndf = pd.DataFrame([ad,fd,fa, ac, fc, dc]).T\n",
    "ndf.index = dates\n",
    "ndf.columns = [\"Fentanyl vs Opiates\",\"Fentanyl and Cocaine vs Opiates\",\"Fentanyl and Cocaine vs Fentanyl\", \"Fentanyl\", \"Fentanyl and Cocaine\", \"Opiates\"]\n",
    "ndf = pd.concat([ndf,op_od], axis=1)\n",
    "ndf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
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     "output_type": "display_data"
    },
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1cf7ddd7e80>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "ndf[ndf.columns[0]].plot()\n",
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1cf948fd7f0>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "ndf[ndf.columns[1]].plot()\n",
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1cf7ddee198>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "ndf[ndf.columns[2]].plot()\n",
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANA3/x9QbiB3BD5OeQAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Comments vs. Deaths: Synthetic Opioids')"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "\n",
    "\n",
    "ax=fig.add_subplot(111, label=\"1\")\n",
    "ax2=fig.add_subplot(111, label=\"2\", frame_on=False)\n",
    "\n",
    "ax.plot(dates, ndf[ndf.columns[3]], color=\"C0\")\n",
    "ax.set_ylabel(\"Comments mentioning Fentanyl\", color=\"C0\")\n",
    "ax.tick_params(axis='y', colors=\"C0\")\n",
    "\n",
    "\n",
    "\n",
    "ax2.yaxis.tick_right()\n",
    "ax2.xaxis.tick_top()\n",
    "ax2.xaxis.set_major_locator(plt.NullLocator())\n",
    "ax2.yaxis.set_major_locator(plt.NullLocator())\n",
    "ax2.set_ylabel('Deaths to Fentanyl or other synthetic opioids', color=\"C1\")\n",
    "ax2.yaxis.set_label_position('right')\n",
    "ax2.tick_params(axis='y', colors=\"C1\")\n",
    "ax.plot(dates, ndf[ndf.columns[7]], color=\"C1\")\n",
    "plt.title(\"Comments vs. Deaths: Synthetic Opioids\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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      "text/plain": [
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Comments vs Death: Synthetic Opioids with Cocaine')"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "\n",
    "ax=fig.add_subplot(111, label=\"1\")\n",
    "ax2=fig.add_subplot(111, label=\"2\", frame_on=False)\n",
    "\n",
    "ax.plot(dates, ndf[ndf.columns[4]], color=\"C0\")\n",
    "ax.set_ylabel(\"Comments mentioning both Fentanyl and Cocaine\", color=\"C0\")\n",
    "ax.tick_params(axis='y', colors=\"C0\")\n",
    "\n",
    "\n",
    "\n",
    "ax2.yaxis.tick_right()\n",
    "ax2.xaxis.tick_top()\n",
    "ax2.xaxis.set_major_locator(plt.NullLocator())\n",
    "ax2.yaxis.set_major_locator(plt.NullLocator())\n",
    "ax2.set_ylabel('Deaths to Fentanyl combined with Cocaine', color=\"C1\")\n",
    "ax2.yaxis.set_label_position('right')\n",
    "ax2.tick_params(axis='y', colors=\"C1\")\n",
    "ax.plot(dates, ndf[ndf.columns[8]], color=\"C1\")\n",
    "plt.title(\"Comments vs Death: Synthetic Opioids with Cocaine\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
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     "output_type": "display_data"
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8BD+8SJ4GRPreBGAjMK6QfEmfNHBP9aCh/CQB8FD+MeL4GVMrONFADIK6wbFm/BFB/9YCx7CQx4ED+EfL+LNy737jtqffLbRnr10V1bPyzpeBCCjsG7IvIm3Lzq/Cf7BQx4ED+Eha8G/luvl28YKW9Isu4Nm2SvXl2XtvKzjRQAyCuuGzJt4+6Lzm+AfPORB8BAeshb8a7ledntumi1pli1plj1/+e6snZd1vAhARmHdkHkTb190fhP8g4c8CB7CQ9aCfy3Tyx27D7vJRwfNsnfvPZK1c7OOFwHIKKwbM2/i6YvOj4J/8JAHwUN4yFrwr2V6OWPRTjcBibw4PavnZh0vApBRWDdm3sTTF50fBf/gIQ+Ch/CQteBfy/Tyg9Iv3ATk5ZFLs3pu1vEiABmFdWPmTTx90flR8A8e8iB4CA9ZC/61TC8fHjzXTUBKp2/K6rlZx4sAZBTWjZk38fRF50fBP3jIg+AhPGQt+NfyvKyorLLlRye4CciqDeVZPT/reBGAjMK6QfMmXr7o/Cr4Bw95EDyEh6wF/1qel6s2lLvJh/zoBLuisiqr52cdLwKQUVg3aN7EyxedXwX/4CEPgofwkLXgX8vzsnT6JjcBeXjw3Kyfn3W8CEBGYd2geRMvX3R+FfyDhzwIHsJD1oJ/Lc/Ll0cudROQD0q/yPr5WceLAGQU1g2aN/HyRedXwT94yIPgITxkLfjX8ryMvDjdTUBmLNqZ9fOzjhcByCisGzRv4uWLzq+Cf/CQB8FDeMha8K9lebl77xG7g5N8SJpl79h9OOtlYB0vApBRWH+x8CYevuj8LPgHD3kQPISHrAX/WpaXc5bucpOPbs9NY1IG1vEiABmF9RcLb+Lhi87Pgn/wkAfBQ3jIWvCvZXk5zFrjJiAvDF/MpAys40UAMgrrLxbexMMXnZ8F/+AhD4KH8JC1Js7fbhe8PtseP3sL87L4XTxci48Pme8mIJ9M3cCkDKzjRQAyCusvFt7EwxednwX/4L3fTrAAACAASURBVCEPgofwkKV27z1i3/ngeFvSLPvOB8fb23YdYl4mP4v1tVhZWWXf/fgkNwFZvnY/k3KwjhcByCisv1h4E+svOr8L/sFDHgQP4SFLLVuz3w1WJc2yh5mrmZfJz2J9La7bXOF+lp0fHm+XVxxjUg7W8SIAGYX1FwtvYv1F53fBP3jIg+AhPGSpSfO21UhA7n1ysl1WziZobQlifS2Om73F/Sz7vzGHWTlYx4sAZBTWXyy8ifUXnd8F/+AhD4KH8JClRoxbUyMBkTQLY0GaINbX4utjlrmf45DilczKwTpeBCCjsP5i4U2sv+j8LvgHD3kQPISHLOVdMTuuPq/MtCsrq5iXzY9ifS32enmm+zlOXbCdWTlYx4sAZBTWXyy8ifUXnd8F/+AhD4KH8JClHnxrbq0ERNIse+GqvczL5kexvBb37j9qdxwwzv0Mt+w4yMwH1vEiABmF9RcLb8JNF/6xFjyEhzwIHqav+wunugFrj+enuX8/8+FC5mXzo1heiwtW7HE/v/sLpzL1gXW8CEBGYf3Fwptw04V/rAUP4SEPgofpqaz8mN2hf+Kpx4xFO92/7+g/zt607QDzMvpNLK/FURPWcZNAso4XAcgorL9YeBNuuvCPteAhPORB8DA9rdmUmLL17wMn2ZWVVXZvzxiC9z5dxbyMfhPLa/GpoZ+7n93YSeuZ+sA6XgQgo7D+YuFNuOnCP9aCh/CQB8HD9OR94qE6U7aOm5WYxvXuxyfZ+/YfZV5OP4nVtVhZWWX/35OT3c9u0Rdsx/CwjhcByCisv1h4E2668I+14CE85EHwMD3pUza4AetLI5faBw7EumXd+0QikC2Zvol5Of0kVtfipm0H3M/szgfH2fvL2K7lwjpeBCCjsP5i4U246cI/1oKH8JAHwcP0NFhf4QatIycmuux8ZK52tysvTseUvI0Qq2vRu6Bkv1dnMfeBdbwIQEZh3aB4E2668I+14CE85EHwMD0NfHeBG7R+tminu33bzkP2nQ8mpnOdu3QX87L6RayuRW8y+VbRCuY+sI4XAcgorBsUb8JNF/6xFjyEhzwIHqYn5YXpbtC6ekvNGa9eHLHYfW3guwuYl9UvYnUtFrw22/28Js7dytwH1vEiABmFdYPiTbjpwj/WgofwkAfBw8arsrLK7vzQeDdorTx8vMbry9fud1/roFn2us0VzMvsB7G4FsvKj9l3Ppj4LDduZT99Mut4EYCMwrpB8SbcdOEfa8FDeMiD4GHjtWXHQTdg7fzQePvMmbO19tHemOPu82bRcuZl9oNYXIuLv9jnfk73PjmZizE7rONFADIK6wbFm3DThX+sBQ/hIQ+Ch42Xd9XsyKAZKf2bMj8xsDn0yAR7994jzMvNu1hci2Mnr3c/pyff/5y5BwcOIAEBLQzWDYo34aYL/1gLHsJDHgQPGy9z5mY3aC38cFFK/yoqquz7C6cmFrebzHZxOz+IxbX47EeLErOZjV/L3IMDB5CAgBYG6wbFm3DThX+sBQ/hIQ+Ch43X0JIv3KD1/ejqOv0bNWGdu1/XZz+zKzjo3sOzWFyLXZ5OJInzl+9m7sGBA0hAQAuDdYPiTbjpwj/WgofwkAfBw8brOc+v5tbcbXX6t3PPYbvzw4kBztMW7mBedp6V7Wtx685D7mdzR/9x9l5OVq5nHS8CkFFYNyjehJsu/GMteAgPeRA8bLz6vjrLDVwXry2r17/XRi9z931o8FzmZedZ2b4WP/t8u/vZ9HppJvP6x8U6XgQgo7BuULwJN134x1rwEB7yIHjYeP194CQ3cN1dVlWvf6s3lrv7Spplr1pfxrz8vCrb1+K7xavcz+W1McuY1z8u1vEiABmFdYPiTbjpwj/WgofwkAfBw8Zp994jNdb4OHnqzHn9e+Sdee57Xhm1lHkdeFW2r8UBbyamSrZmbWZe/7gyEfOFisL9ZSNiy2N7/EoQBEHWI11kI2LXpZAe+dh9rx5+IuV+emROjXPo3W8O6ZF5shH5KqRHDoX0yLBOI//xw0yUH7QgWDco3oSbLvxjLXgID3kQPGycvIsM/qNwSoP8m7l4Z411Q3bsPsy8Hjwqm9diecUxO//hCe7nsnYTP4tFNjXe6zRa+WXIiJzyJiCdRt33Y7ko/MdaMpRJsqGclovCf4y/XzYUUzaUVbX2HRP+RXyfzqPDv5F15aRsRKaHDKVjvh7uFTKUoyFdWSwUChc3tQ6gBcG6QfEm3HThH2vBQ3jIg+Bh4zR5XmJ9jwFvzmmQfxWVVXb356a57/uYk+leeVM2r0VvInn345O4WIAwrqbEenkjulwe0pV1sqHs9iYgqcgfqwRDhlIdKlJ6erfLhrI7pCvv1HceWVcmyoay48ah4UvdbUXd/xJ7UqKEmlIH0MJg3aB4E2668I+14CE85EHwsHEaOX6tG7i+9PGSBvtnTN3gvu++p6bYZeXHmNeFN2XzWiz+bKP7eTw2ZD7zunvVlFhP1sNvy3pkQ76uROpLQDoMDV8h65E9sqHMFQThovj2TiP/8UMniehW5zkK5ctkXTkZMiKv1j6/UiHrkVFNqQNoYbBuULwJN134x1rwEB7yIHjYOL0yaqkbuI4Yt6bB/u3Zd8SWH53ovnfi3K3M68KbsnktvjhisftZDDNXM6+7V+nGeXKRcrtsKKdj3aOcMR91JCBykfK0rEfOyWOUnyVtv1U2InbIUEbKRmRryIh8IxvKDtlQNMFJVPKLwj+tK0mRdWV+SFeWpVsH0AKJN2wopurqaru6upp5Ofwq+AcPeRA8hIfZ1qFjJ+zyQ8ft8kPH7a9PnGmUf8e+OuW+99DRE8zrwpuyeS0eOPK1+1mcOHmGed29SifGk4c/cJWsKxUhPfyYIHgGnadIQOQh8vdChnI0ZET05NdCuvJwbNC5MlfWw6JcpNwq68pQ2YjYcpHymiAIQucx3X9XV1cr2VAmhXRlSzp1AC0U1g2KN+GmC/9YCx7CQx4EDxunSk/gevLUN43y7/SZs+574+9nXR+elK1r8cw3NT+HM9+cZV53r9KJ8WRDGR/SI5/LsvwtQThPAmJEestGxM4v6v7/kl/rPLZb6/wipYNcKF/m3R4ylOGyoZztPDr8k5De4w+x9/fIT1GOSSFd2ZhOHUALhfUjRd4Ub+isy+FXwT94yIPgITzMpsrKj9l39B/ndt3Zuedwo/178v3P3fc/P2wR8zrxpGxdi95ZyZQXpjOvd7IaG9/l60pE1pXjnYweNK8w75K8wrxL8vUeXWMJSPcb40lJnFg3qcjKRp2jKHynbETs/LE9bpPHKD+TjYidr/fomryf0wVrcWPrAFowrBsUb8JNF/6xFjyEhzwIHjZcazdXuIHrXY9NTMu/+ct3u8foOGCcvWXHQeb14kXZuhY/KP2ixkQCrOudrMbGd7IemXOeNT52xfftUBT+kaxHzoV0ZUCqY+UXhe+U9fA9tc8Rvkc2Inbn0eHfOIPQz4R0ZVDt/ZSKkB4Z1tg6gBYM6wbFm3DThX+sBQ/hIQ+Chw3XLM8v571fnpmWf5WVVXbPQTPc43xQ+gXzevGibF2Lj7ydWBiyZPom5vVOVmPjO3l01//I15WbvArpkcLYOI3wPd71O/KLlA6xJyOR/051rJChjAkZkVN36F1b1TiHrkyRjUh53ogul8f/D+nKFm9Xrfg0vKm6ZoELGNYNijfhpgv/WAsewkMeBA8brk88U+k+8+HCtP2LztjsHueegZPs/WWYkjddLxurisoq+2+e2chWrS9jXu9kZSLmq2sMiLvK+evyd1K+b4zyM1lXjsuGsl7Ww/eEDKWjbChmyFCq84uUv8f3y9fDvw0ZkW9kPTJH1iOdQkVKz5ChHJV1ZSEWIgQ1YN2geBNuuvCPteAhPORB8LDhettY4Qau7326Km3/9pcdtf8+cJJ7LHPmZuZ140HZuBa/2FDu+i4/OsGu4GgBwrgyEfPVmYAYypCQETlV33s7jVZ+6Qxqr5SNyImQriyW9R531DpHUfe/hHRlcciInJJ1pSJkRD6UP+p2ZSbKD1oQrBsUb8JNF/6xFjyEhzwIHjZcT7y3oFbXnXT9G1qSGIfQ86UZXK3EzUrZuBZLZ2xyfX9o8FzmdU4l1vEiABmFdYPiTbjpwj/WgofwkAfBw4Yr8uJ0N3idt2x3k/zbsuOg3XFAYkatBSv2MK8fa2XjWvQuJPl+CZ/jb1jHiwBkFNYNijfhpgv/WAsewkMeBA8bpsrKKjv/4Qlu8Lpp24Em+/fcsEXu8Z56/3PmdWStbFyLkRcTEwBMX7iDeZ1TiXW8CLLMjeGhl0qquTComm/Wt5+kmuNFzTyWvD2vy4jLJdV6WdLMPaJmnRRVc1VQM2vNBHBLv+LrRdX8RNKsg6JmHRc1c9rt/UpqLQYjqtbNomrOk1TzK0k1D4maOeyvvaI/TLd+rBsUb8JNF/6xFjyEhzwIHjZMW3ccdAPXOx8c744daIp/S1bvc4/Zob9lb9hSybyeLNXc1+LuvUfsDv0t1/Ptuw4xr3MqpRvnAR/S7r5R35U005Q0y64vAQmq0YikWXaqBERUzU8k1TwRLIhq7VWrg6SZpqha1cF+USm+T17P4u+Jqrld0qwdUkH0XlGN3i1q5lpRs46071N6bXy/2wpKfxNLYqzpQTXaMVgQ7SWp5lFRtRYLQmFaswuwblC8CTdd+Mda8BAe8iB42DAtXLnXDVx7PD8tY/71e22We9x3jJXM68lSzX0tzl2WWIOl27OfMa9vXUonxgM+RNKsoKRamyTVPFRfAnJ7v+L/kFTr69gTjpoJSFAtuUnSLDtYYHX3bL5IUs05kmqti28QC6wBkmaeC/aK0vi229TiKyXVPCpp1jvufqo1UdKsHTeGh14a39a+IPoXSbNsqaA0lE49WTco3oSbLvxjLXgID3kQPGyYrFmJqXMfGzI/Y/5NnLvVPe7fHp1o7913lHldWam5r8UR49Z4VqFfzLy+dSmdGA/4jLwC8weialWLmlUsqcXX1JWAON2zVoiaOUJUzY+TExBRjT4pqlZ1+z5j/tW73X1iopbmxPazZomauTz5+JJmGpJm7hEEQbhBLr7M6cL1aq39VKtCUs1R6dSVdYPiTbjpwj/WgofwkAfBw4bJu3r2G2OXZ8y/svJj9n1PTXGP/cnUDczrykrNfS0OfDcxi5nBsc/pxHjAZ9wgF18mFkT/M/5/XQmIqEYHiaq583+6DvuXVAmIpJmGqJp7k993e1/zr5Jm2WJBqSgIsQRCVM3RyftJqvmspFl2u/tGfbdd75KfxpIWs1ut/TRzvqhay9KpK+sGxZtw04V/rAUP4SEPgocN0/OeAeNjJ63PqH/eX+Z7PD+Ny7UpsqHmvBYrK6tqrL2ybM1+5vWtS+nEeMDnpEpA2qvRP4ua9Y2oWjcLgiCkfAKimVO9Xa3i3N6v9L9ix7Tuib3XOuXtahUnqEYflDTLvrW33qq9Vvq7urpaiao5SVTNLenULd6woZiqq6vt6upq5uXwq+AfPORB8BAeZkv935rrBq+L1pRl1L8jVSftzg+PTwTH68uZ15eFmvNa3Ff5petv54fH26dOf8O8vnUpnRgP+JzkBCSvwPyBpJl7RDU6KL6tjgRkmqiZa5OPF09A2vez7nLee0ZUzbeT94snIH/tV3S12Nf6g6RZdqoZtETVnCRp1sZ06sa6QfEm3HThH2vBQ3jIg+Bhw3Tvk5PdAHbn/mMZ9+8tY6V7/CeHLmReXxZqzmtxpmcA+kNvz2Ne1/qUTowHfE5yAuJ0rVpzY3joFXl5hZfk5RVeEiywRoqaeSwvr/CS+IxUomYVx8dweIl3wQqq0dsFQRBE1TyQagxHvAtWXpcRl7fvU/yzWLetaNfa5TPnx2bCajysHynypnhDZ10Ovwr+wUMeBA/hYTa0Z98RN3iVNMvetz8xUDxT/q1cX1bjHKs3ljOvd7bVnNfiG2OXu94O+YTv2cbSifGAz6mdgFh2fRJV82NBEARRtZ6WVPNsu/tGfdd7PLHA/KekWXa7ntZ1giAIombNTZVAiKr5iaia2wXBGZeimme8T13c8qhWhaiZw9KpG+sGxZtw04V/rAUP4SEPgofn14p1ieTgvqemNJt/D3q6eb0+ZhnzemdbzXkt9nllpuvtlPnbmde1PqUT4wGfk5yABNWSm5IlaeYESTW/CqolN91eYLYRBEEI9iv5rfOk4wHP4S4SNWuut2uWqFkPS6p5VupbQuLb4tPwertmiao1RVTNLTfIxZfFt8Wn4U3VNashsG5QvAk3XfjHWvCw5Xu4YWul/fLIpbY+hd8Zd3j3kAdNmb/dDV61N+Y0m3/TPt/hnif/4Qn2rj2Hmdc9m2qua3Hf/qN2xwHjXG83bz/IvK71KZ0YD/ic8y1EKAipx4AIgrNCumqdEjXr4faq1UFUraikmeckzQrG97klXPx9UTX3OuNK7m/fz7pLVM01kmYd9C5EGOxX8ltRs76JrSNS2klUrZ6Sah6VVHMhFiLk+4vuQhH8g4c8iHcPn3r/czfoWbBiD/Py+NFDHjRqwjr3cxw0Ykmz+VdRWWV3feYz91yjJqxjXvdsqrmuxc9X7nE9vb9wSsaPn2mlE+MBn9OUBOTG8NArJNV6y1mr44SkmiuCarRj7feX5jirrn8pauYxUbWmiH2jP0/er31B9C+iai0WVeuUpFoVkhb98Da1+Mp068a6QfEm3HThH2vBw5btYUVFlR16ZAL3/c559pAXvTp6mfs5DrPWNKt/Yyetd8/V5empdkXFhTMlb3Ndi94E8ukPFjKv5/mUbpwHAJewblC8CTdd+Mda8LBle7hszf4aYwZ7vjSDeZn85iEvevjtee7nOGHO1mb1b/feIzUSV97HK2RSzXUtFg5NPIkcM5H/p0qs40UAMgrrBsWbcNOFf6wFD1u2h2Mnr6+RgEiaZW/bdYh5ufzkIS/ydota/MW+ZvfvTc+MTf2Txpy0ZDXXtehdaX7Rqr3M63k+sY4XAcgorBsUb8JNF/6xFjxs2R56f3Wt69dzHsSzhzyovOJYjQHMO3bXHBjeHP6t3Vxhd/BcN8vX8rtqdybVHF5u2nbA9fHOB8fZ+8uOMa/n+cQ6XgQgo7BuULwJN134x1rwsOV6WFlZZd/zxORaCcigj5cwL5tfPORF67ZUup+f/OhEu7Ky5piM5vJv4LsL6hz43lLVHF5OnrfN9bHvq7OY17EhYh0vApBRWDco3oSbLvxjLXjYcj1cu6ki5dpR9z01pVYAy1q8esiLZi/Z5X5+vV6amTX/5izd5fnlfjyX3fcyrebw8m1jhevjm0XLmdexIWIdLwKQUVg3KN6Emy78Yy142HI9LJ2+yQ16+r02y+700HhuV7jm1UNe9MlnG93PrjDFDErN5V9lZZWtvDg9MfuWuZq5F82t5vCy4PXZXHeBTCXW8SIAGYV1g+JNuOnCP9aChy3XwxdHLHaDng9Kv7AfHpxY4bpo8nrm5fODh7zonU9Wup/du8Wrsurfp9MSyc+9T062y8r5H7/QFGXay7LyYzWS/w1bKpnXsSFiHS8CkFFYNyjehJsu/GMteNhyPfTOmjR76S575IS17v8D313AvHx+8JAXeReT/HTaxqz6t3f/Ufuuxya65x8/ewtzP5pTmfZyyep9iQTuicncdX+sS6zjRQAyCusGxZtw04V/rAUPW6aHW3YcdIOeO/qPs/fsO2IvX5tYEyT0yASufsnm0UOe9M9BM9zPbu7SXVn3793iVe75+7wy0zdBdDrKtJf6lA2ud0+8x1fiX59Yx4sAZBTWDYo34aYL/1gLHrZMDyfO3eoGPb1fjg1arqissv8+cJK7fcGKPczLybOHvKiyssrO9ywKuGFr7S48ze3fpm0H7Dv6J6YBXuiDdSzSVaa9fO6jRa5vH49fy7x+DRXreBGAjMK6QfEm3HThH2vBw5bp4RtjEovIDdZXuNuf9QRDH5R+wbycPHvIi7btPOR+Zh0HjLMrKmo/fciGf09/sNAtxzMf1h4I31KUaS8feGaq69v85buZ16+hYh0vApBRWDco3oSbLvxjLXjYMj30dtmZMn+7u710Rs2ZsViXk2cPedHCVXvdz6zbc9OY+bdwZaIcd/QfZ2/adoC5N82hTHrpTR479LfsvfuOMq9fQ8U6XgQgo7BuULwJN134x1rwsOV5uGvP4RorWHvXbvCuyHxH/3H2rj1HmJeXRw950rjZW9zP7JF35jHzr7Kyyu798ky3LO99Wns2rpagTHo57fMdrl89B81gXrfGiHW8CEBGYd2geBNuuvCPteBhy/NwxqJE0NPj+dq/mPd4fpr7+tQF27NePj94yJM+iq52P6/Xxyxj6p83Gbr78Un2vv3++UW/ocqkl+99mhi8/+ro1J8dr2IdLwKQUVg3KN6Emy78Yy142PI89M5Y9PLIpbVef3NsYnzIa3UEtBe6hzzpheGJ9VzGTFzH1L+y8mP2vU9OdstTMn0Tc38yrUx6+eBbibV3zJmbmdetMWIdLwKQUVg3KN6Emy78Yy142PI89K66bM2qHfRMW5h4QtLt2c+Yl5dHD3mS9/P87PPUT6yy6d9HZuKJjPLi9BY3JW+mvKyoqDl72ZpNFczr1hixjhcByCisGxRvwk0X/rEWPGxZHu4vO2rf+WBiutRUqy7v3nvE7jjAs0+KaV0vZA95071PJJ44rFpfxty/bTsP1bjGUq1L4mdlyssV68pcj+56bKLvEjXW8SIAGYV1g+JNuOnCP9aChy3LwwUr9rhBz31PTakz6NE8v6rz0I2GJw950t79R93PSdIse28dYy6y7d+LIxLdwga+65/F9RqiTHlZPG2j69Gj78xnXq/GinW8CEBGYd2geBNuuvCPteBhy/JwuLXGDXqe/WhRnft5u9E8/QH7NR148pAnrVyf+BX93icnc+Pf8rX7E9PLapa9brO/uhfVp0x5OWjEEtejj6KrmdersWIdLwKQUVg3KN6Emy78Yy142LI8fOSdeW7Q88nUDXXut8iztsRdj01MubjdheohT/pswXb3c1Jfn82Vf9obc9yyvVW0Iqvnbk5lykvvbHOzluxkXq/GinW8CBxukIsvk7ToL+P/i33NGyXVHCWp1vCgWnITy7L5CdYNijfhpgv/WAsethwPKyqqbPnRxKDXlXWMFzhw4Eu7vOKYLT860d13yep98JBDjZ64zv2MXhy+mCv/pszf5pYt9MgEe/dePtaUaaoy4eWuPYdrPCHiZb2dxoh1vAgEQQj2Km0tquZOUTVXCYIg3FZQ+hNJNb8SVataVK1qSTVPIAlpGKwbFG/CTRf+sRY8bDkeLluzv+ZTjfMMen3y/c/d/UeMWwMPOdRrY5YluvGYdXfjYeFfRUWVfX/hVLd8YyevZ+5XJpQJL2ct3un6En5hOvM6pSPW8SIQBEHUzBGSan0dLIj2EgRBEFXrsVjyEb379gKzjaiaWyTNNFmX0w+wblC8CTdd+Mda8LDleDh28vpGDQz+ZOoGd/8Bb86BhxzqkbcTXerGz97CnX+jJiSe0HR99rPzJr1+UCa8/NCzeOSgj5cwr1M6Yh0vAkEQRNXaJ6nWi/H/JdVaJGnW/vj/QTX6oKRZB9mUzl+wblC8CTdd+Mda8LDleFg4NPFEY+SEtefdf+3mCnf/Ox8cV+cMSxeSh7yp27OfuZ/Roi/2cuffzj2H7fyHE93+pi3cwdyzpioTXnrHYn06bSPzOqUj1vEiEARBVK1TwQKziyAIQl6B+QNJNc+Kqjk6/nqwwOouqdbXzAroI1g3KN6Emy78Yy142DI8rKyssu/xrBexaFXdwar3PV2eTnShmbmY3UBZHjzkTRUVVTXWa9m26xCX/nm7iT00eC5z35qqpnpZUVll3/VYYnzVynV1j8XiWazjRSAIgqiZu0Q1+qQgCIKoRu+WNPNcsMC8z/P6u6JqbmFXQv/AukHxJtx04R9rwcOW4eHaTYmnGZ0fGm+XlR9r0PteHrnUfd9gnd1MRjx4yJs2bKmsMci7voXsWPq3emN5jbVK6los0S9qqpdeP0KPTGA+w1y6Yh0vAkEQYrNdmYdE1ewvadYOSTVPiP8c+2+3hIu/H1SjqqhZJ8UC8w3W5fQDrBsUb8JNF/6xFjxsGR6WTt+U1niOSfMSMxlFXmQ3WJYHD3nTnKW73M+m56AZXPvn7XL0yqilzL1riprqpTlzs+vFg2/594kQ63gRCILQLhL9saiaa5wZr86KqtVTEAQh2K/0T6JqVYuaufyvvaI/ZF1OP8C6QfEm1jcNvwv+wUMexIOH3pWph5Z80eD37dh92O7g+fV6646DF6yHvMm7kvZTQz/n2r+ZnlmfOj803t6x+zBz/9JVU718dVTiqeL7JauY1yddsY4XgUNeXuElQbXkplt7663cbQXmD4KamX+DXHwZy7L5CdYNijexvmn4XfAPHvIgHjzs+kxisPLsJbsa9d7eL8903ztuVt0zLbV0D3nTkE9Wup/LkE9Wcu1fRWWV3f25xMJ7H48//yQIvKqpXv5z0IwWMSg/EzFfqCjcXzYitjy2x6/i2zrqD1wnGxE7le7UI23i+8kfdbsypCsfyEakXDYiJ2RdWSgX9fhz8jk6jer285AemSwbyrGYIiWdx3ZrnYnygxYE6wbFm1jfNPwu+AcPeRBrD7fsOOgGPHf0H2fv2de4Rc/e+3SV+/4X6lnsriV7yKO8s5oVf1b/TEo8+Gd4pnW+76kpDR6HxJua4uWefUfsDv0TTxTrmziAdzU13us0WvllyIicSk5AQobSUTYitqwrIbko/Eev2g9u/21BEAShULhYNiKLQnrkkGwo4ZChdJYNZW7IiJzqPDr8m/ixOuoPXOfss0LWlZCsR7qEdGWvbCg75CHy95pah6wjqtEnG60C8wnW5fYDrBsUb+LhpuFnwT94yINYezhx7lY34On98sxGhG8YdwAAIABJREFUv3/est3u++99cnK9g51bqoc8qudLiV/SZy+t/6kWD/7t2XfElh9NzP40ce5W5h6mo6Z46W1LXZ/5jHldmqKmxHp5I7pcHtKVdbKh7E5OQOQi5WnZiHwlCMJFdb1f1pWQbETs/LE9bnG3FcqXyUZkq6wrE+PbQrryjqxHquSPul0Z35Y/ViGyoZwN6cqAptSBCfEVzr2SNPOcpJnn6touaeY51uX2A6wbFG/i4abhZ8E/eMiDWHv4xpjlTZrJan/ZMbvzw+OZzmLE2kPeVFlZZcuPJtbXWL+l0hf+vW2scMtc8Nps5uVJR03xcsS4NW79nxu2iHldmqKmxHqyHn5b1iMb8nUlUusJiB6ZIOvK/PreHzKU4bKuHBSSkpSQrgySdeVM/EmJbCg7ZCNSUuv9urI4pEfmNaUOTAj2K/mtV5Ja2klUrSpJNT8T+1m3tetpXRfsVdpaVEtvEVVzkqRaFWJf6w+sy+0HWDco3sTLTcOvgn/wkAex9rCnp8/5lPnb0zrGo+/Md48xZtL6C85D3rR91yH38+g4YJxdXlF/dyZe/NuwpbJGF6Qlq/cxL1Nj1RQvn3hvgVt3fcoG5nVpitKN8+Qi5XbZUE53Hh3+jaxHutR6AqJH9su6slA2lFkhQ/la1iNVIV0p6jw6/JP4PiFdWZwqSZF1pZtsROz8oh435I3ocrlsROyQrjybvF9IV0Y7CYy/EVVLF1VrgSAUXpzqdUkzZ0iqOT7b5fIj8YYNxVRdXW1XV1czL4dfBf/gIQ9i6eGZb87a5YeOuzpz5mxax/ny69PuMQ4fO3lBecijTp76xv08Dhz52lf+Hak66Zb9yJfZv5aaqqZ4WXn4a7fuJ09/w7wuTVE6MZ48/IGrZF2pCOnhxwRBEJITkE6j7vtxbPxH5EioKKKE9O43y0akt6wrB0N6ZLs8NPx9QRAE2Yhs8na1ihMywnIs6ejxB3lEl393EpBaXa1ChjJE1pUz6dSBK5ynH73reb2npJpfZbNMfoV1g+JNPN00/Cj4Bw95EEsPT5w806hAtS6dOp0IeCsOHbe/+ebC8ZBHHT9xxpMQnvCVf97kqSlJMSul6+XpMzV/DMh2G8q00onxZEMZH9Ijn8uy/C1BqJ2AyK/L35GLlFvl0d0C3vd1Hqv8STYidqgo8pAgCEJIV7aE9MiE5OPHE5B8PfzbO/SurWLvCfevvZ8yRNaVk+nUgSskzTooauYzdb0uquarkmpVZLNMfoX1I0XeFG/orMvhV8E/eMiDWHroncHq5ZHpLwBXWVll3/vkZPdY85fvvmA85FHDzNXuZ/Ha6GW+8q+ysqpGt8APShu+Lg0PStfL8XO2uHVWX/fn+BevGhvf5etKRNaV452MHjSvMO+SvMK8S/L1Hl1jCUj3G+NJSV3IhnIsZET02N+RpanGcCS6YIV/2mFo+IrYE5BIrfjc6YLl/7hc1KxiUbWq2vcp+XXya+0LzPaSap4QNXMYi7L5DdYNijfxdNPwo+AfPORBLD1UX5/tBj3WrM1NOtbzwxKLGb73aXYXUMN1WFPehSVHTVjnO/+iMxKrgd8zcJK9v8w/U/Km6+WbYxOTQbxj1L9uix/U2PhO1iNz6lrfw0kUdsljlJ/l6+Fe8vAHrqrx5kLhYllXToYMZbAgCELIUEbKRqQ8+RwhI/ySrCsn5UL5MkEQBNlQdsu6YtQui7JE1iMzG1sH7rhNLQ6IqnlY1KxvRNWcJ2rmMEk1x0qquULSzHOSau3+a7+iq1mX0w+wblC8ibebht8E/+AhD2Ll4f6yo/adD45zg54N55kp6XyyZiWCxj6vNH46Xz96yKs0T2I5dcH5Jxbgzb/9ZUftvw+c5NbBnNm05DibStfLPq/Mcus7ed425vVoqhob38mju/5Hvq7c5FVIjxTGxnyE75HHhH+RP7bHLam6Tcm6cpdsROyQoXT0/t95bPh/3X2caXi9XbNCuvJeyFCOeqfh7WT0oLKhnE3VNcuX3F5gthE1a4yomccS0/Cah8WC6Pt54aIfsS6fX2DdoHgTbzcNvwn+wUMexMrDBSv21Fj4ranrd3gXNOygWfaO3YdbvIe86v883eFWrjv/tMg8+je05Au3Dj1fmsFkfZl0lI6X+8uO2h0HJH4M2Lz9IPN6NFWZiPlqjQGR5W+FdGWGrCsnQ7oyMH9sj9tCujIwZChfy0Zkavx9eYV5l4T0yMqQoRwNFSk9ZT3SSTaUubIROZGvd3N7I92pR9qEDOVL2VDWyLpyV35R+H5Zj+yRdWWbLxciPB954aIf/bVX9Iesy+FHWDco3sTjTcNPgn/wkAex8nC4lVhz4NmPMrPmgPLidCa/4uI6TGjf/qPuZyBplr1331Ff+rdlx8EaQfmCFXuYl6khSsfLhav2uvX8R+EU5nXIhDIR86WahveOYV3/JaQrL8hGZGvIiJwK6ZFdIV15QX5d/k6N9w5/4KpYVyzlsKwrx2VdmR/Su9+cfI58vduvQ7oyI2QoX4f0yKGQESmWR4Wvz0T5QQuCdYPiTTzeNPwk+AcPeRArDx95Z54b9HwyNTNrDgzWEwvJvTIq/UHtfvGQR63aUJ5Ymf6Jyb7277lhi9y6PDX0c+blaS4vR09c59az8IOFzOuQCbGOFy9IJNU80b6fdVf8f1GzTkqqeaJ+WV+zLLNfYN2geBOvNw2/CP7BQx7EwsOKiporZa/M0OrlMxbtdI/Z5empLdpDXjXt8x2NXk2cV/+WrN6X6NbXv+njlLKhdLws/GChW8/RE88/aYAfxDpevCARVXP27X3Nv8b/l1Rzjqias88nlmX2C6wbFG/i9abhF8E/eMiDWHi4bM1+N+C567GJdkWG+tfv3VdzYPu6zRUt1kNeNWbSetf/54ct9r1//V5LDM72w+xQ6Xj5j8Ipbh0XrtzLvA6ZEOt4EYCMwrpB8Saebxp+EPyDhzyIhYdjJyeC1MeHzM/osQe8OSfRteuzjS3WQ171xpjEdK4fRlf73r+Jc7e69fnboxMbNKaFpRrr5ebtickbOg4YZ+/bz3f9GirW8SJIol0k+mNJNf9b0qK/xED0xsO6QfEmnm8afhD8g4c8iIWHhUM/d4OekePXZvTY3sHtT72fnX77uA4TevSd+a7/42Zt8b1/ZeXH7PueSjwhyNR4peZSY72cMn8bs+mrm1Os40Xg0K53yU8l1ZwjaeY5V6p5VlStWe37FP+Mdfn8AusGxZt4vmn4QfAPHvKgbHtYWVll3/NEYprWhasy2+XD22//b49OtCsqmn/6VFyHCXV7blqjP1ve/RsxLpHUdn9uml1Wzu/ChI318p1PVrp1e3Pscublz5RYx4tAcNYAUc3DkmqeFTVrXLDAfCGomS+JqjUxloSYh2/pV4wpvxoA6wbFm3i/afAu+AcPeVC2PVy7qcINeDo/ND7jwVxFRZV912MT3XMs+qL5+7TjOkx47x2Ds3XnoRbh347dh+3OD4136/VRA7uWsVBjvVQ9i0aOn9OwJ1Z+EOt4EQiCECywRkqq9XWwX8lvk1+7vV/pf4madVzSoh+yKJvfYN2geBPvNw3eBf/gIQ/Ktoel0ze5Ac+AN+c0yzm8s/oMM5s/WMR1GNPGrQdc3/MfntDgxfv84N8HpYmFCTsOGGcvWb2PeZma6mVZ+TG7kyexWu+DWb4aKtbxIhAEQdSsclGLvlL369FXRNXcm80y+RXWDYo3+eGmwbPgHzzkQdn2cNCIJW7AM7Tki2Y5x6fTNrrn0N5oniSHpYe8au6y3a7vkRdntCj/ysqP2b1emunWr8fz07gcsN0YL5euSXRXvGfgJN+s9t4QsY4XgSAIkmaeDmqWUtfrQTUaEVXrVDbL5FdYNyje5IebBs+Cf/CQB2Xbw67PfuYGPbOX7GqWc2zYUlnj1+o9+460KA95VYnn6daTjZgAwC/+rVpfZt/5YOKJwWB9BfMyNcVLfcoGty4D313AvOyZFOt4EQiCIKnW1mCBNbKu10XVHC2q5vZslsmvsG5QvMkvNw1eBf/gIQ/KpodbdySm/Lyjf/MmBt5EZ/rCHS3GQ571bvGqtNbM8JN/3lXDO2iWPW/ZbuZlStfL5z0rvY8Yt4Z52TMp1vEiEAQhWGC+4Mx61U8QCi9OvFJ4saiZBZJmngtq5kvsSugfWDco3uSnmwaPgn/wkAdl08NJ8xJTfvZ+uXmn/Hxt9LLE7D5FzTu7D67DmJ72jL1pzBosfvKvorLK7v9GYq2Z+wun2rv3Nu8TtsaoMV56k3TeEqmminW8CARBuDE89ApJNVfEpt+1DkqquVBSzYWSZh2MJSbW6ryexd9jXU4/wLpB8SY/3TR4FPyDhzwomx6+MXZ51rqvTJm/vUZ//ZbiIc/q9XJijMSsJTtbrH/rt1Ta+Y9McOs66OMlzMvUWC+37TqUeJLT32r2borZFut4ETi0u2/UdyXNLBQ1c62kWl9LqnlC1Kz1omY+g+Sj4bBuULzJbzcN3gT/4CEPyqaHPQfNcIOeKfO3N+u5du05bHfob7nn27TtQIvwkGf97dHE9MfrNle0aP+8410kzbKnfd683fwy7eW0hTvcsv9zUMMnDPCLWMeLAGQU1g2KN/nxpsGT4B885EHZ8nDXniN2B0/Atm1Xw9aIaIr6vTrLPV90xmbfe8izduw+XGN8T2PWd/Gjf5WVVfbjQxKrvt8zcFJWrulMefl+SWK8zqujljIvd6bFOl68IGkXif74Brn4Mu//DRHLMvsF1g2KN/nxpsGT4B885EHZ8nDGop1Z6xIV19CSxNoNz320yPce8izvCvQPPDP1gvBv646D9t2PT3Lr/dT7nzOfyrahXj741tysJOesxDpevCCRNPNcULXuif8vqlZ1bPxHPVLNsyzL7BdYNyje5NebBi+Cf/CQB2XLw/c+Tfzi+vLI7PziumDFnhq/UFc0U3CI6/BLe8Kcra7XDw+ee8H4N9kzsYKkWfa4WWxXE2+IlxUVVXbIM4Zl9cZy5j5mWqzjxQsSUTNHeFc9F1XzY1EzR5xPmTj3jeGhl0qquTComm96t98gF18mFkQfl1Rrq6hZJyXN2hjUon1rzsolCLepxVeKqvWBqFnlkmqekFRzYXs1+udadewb/bmkmpNFzTwmauYxSTVLgr1KWyfvF1SjHUXNXC6p5glRNcskzXzt92rxd9KtH+sGxZv8fNPgQfAPHvKgbHmovj7bDXisWdn5xbWs/FiNwcLL1+73tYc8a7i1JtGlZ/SyC8q/5zzT2cqPTmzW8UaZ8HLl+jK3vHc9NrHZEnOWSjfOAz7EGehuSpplJycgomYOkzTzdFA1B7ZXzXaiZj0nqla1qFnPJfYqvFhSrUWSah4SVTMsFkQ7i5o1V1StU7cVlP7GPU9P6zpJNQ9JqrlCKigNBQvMLqJq7pU0a4d3QL1YUCo6T3iMYL+oFFSjj4iqdUpUrU/TrSPrBsWb/H7TYC34Bw95UDY83F921L7zwXFu0LNhS2XW6uftpz9qwjrfesi7Bn2cWOF+5IS1F5R/O/cctu97aopb/4cGz2UW1DfEy0+nbXTL+sg785j71xxKN84DzUS73iU/FQtKRbGfdVu73sVtM3VcSbOCkmptklTzUHICcku/4utF1aoWVetp73tEzRojatbx+FMQqaA0JGmWLaqlt8T3uUEuvkxSra2iak30nOsdUbWqblOLr3S39S0hkmqeFQusAe421Vonaeb8GucsiHaNla/kpnTqybpB8Sa/3zRYC/7BQx6UDQ+9XaHue2pKVvvJj528PtE16O3mCbZwHX5ZY22MKfO3XXD+zV6yq0ZXLH3KBiblaIiX3mTxw+hq5t41h9KJ8UAzIKqlt4iatT557IeoWovFvuaNTTl2XoH5A+dpRrGkFl+TnIC07zP420G15Kb2fYqv8r5P0qIfSpp5Oi+v8BJBEARJtYZLmnVQEISLapY9OkhUzTPt+wz+dux91g5JNUtq19FaLKrmPEGIJT2SZtmSavb27tPuvlHflVTzrKiZz6RTV9YNije1hJsG/PO34KE/PPR2z3nmw4VZrd/qjeXuuTs9NN7eX3bUlx7yLu8TgMZ2dWsp/r0+JrH4ZeeHxttrNjV8KuJMqSFehl+YnlivZXHD12vxk9KJ8UCGCfYr/ZOkmaclzfpSVM0hYoHZR9TMAlE1h4qadVxSza+CqvWLdI/vjO/4z/j/qbpgebiofZ/iq0TV6ilp5mlRtV6PvyCq1uLkJxax7WY3SbPs29SSG/K6jLjcSSyeTbHfaCeBEYJq9HZJs+zb+5p/TbHf3nS7YbFuULyppdw04J9/BQ/94eEj78xzAx5janZ/Ga6srKoRHM9ZusuXHvKs/WVHa0yx3NiVwVuKf3v3Ha2xuni/V2fZ5RUNn444Ezqfl7v2HK7xpGbnnsPMfWsOpRPjgQwjquZsSTP33Npbb5X8Wqx7lFkmaaaZqfPVl4AEC8y/xy96UTOXe6f/lVRrk7erlVt+LSpLmmWLfa0/BHsW/7ukWba3q5W7n2oOEVXzTOzv6N11dbVyFmCclk7d4g0biqm6utqurq5mXg6/Cv7BQx7U3B6ePnPW/ttjiQXqtu09mvU6vlG0wj3/8PHrfOch79q5/5jr771PTr6g/Vu3/aB9h2cBTH3apqye/3xeLt9Q4ZYtMmgGc7+aS+nEeCDDSJr1pVRgPlTX62JB9HFRs45k8Hx1JiC3qcWBYL/SPwXV6AOSZu6RNHPPX/sVXS0IgiCq5hZJMyfUKp+TgAT7lfz21t56q9g4EbN/rf1Uc4ioWScFQRCCqnVPLGmp3b1M1Kz1ompNSadurBsUb2pJNw3450/BQ/493LL7iBvw3P34JPvMmbNZr+OsZYkxKH1fm+07D3nX4rWJWZX6vzn3gvfv44nrXD86Dhhnb9l9JGvnPp+XY6cmBqC/XrSCuVfNpXRiPJBhJM2sDKrRR+p6XVTN/pJqHsrc+ertguXSvk/Jr2NPM6KPO+VcGh/DkVS+bpJm2e16l/z0xvDQK5ynJ7XGcIiqOVpSrQqnDEFJs+z2BdG/pNhvr6SZRjp1Y/1IkTfFGzrrcvhV8A8e8qDm9rDIMwj88SHzmdRx285Dbhk6aJa9PcMrVl/o16F3oP9zwxq/4GNL86+s/Jj9z0EzXE+UF6c3y9ijdLx89J3ErHDF0zYy96q5lE6MBzKMqEVfkTRrf6ouWO37jPlXUTM3e8diNJXkBCTYq7S1WBDtmldg/qDmnoUXi5r1jVgQfV8QBCFYYI0UNas8+XhBzXzp/7N35uFRHGf+bx/xOnE2m83hbLKbY7O72c06u9nE2V82m8NaHxhNN4eYLh8QbAzSVHNqqrmxMTLYAWMbfIAx2FhGoKm2kKaa+75vzH0fQkISkkacEuYGqX9/9ExPjzRCmpmerh5Nvc/zeR403ap660tXzVvqqnp5Wb0eyu4uILUi2gSCR2SHgMgajuO4ToOK/lH3wy+Z78kYUPR1QSaNvJeMjadttDuU0+hoXxpMv9SDaeh8DfNmbQ0fz7owtuNZrWSAKSBcvOFkSmnodN4t3GVoO6tkH9Pv7GVtz6GaiKOnp32+x5Z676ZlXV2D9qxpOeTuQzXUdUoW8cR4zCy24L6LMl4m9Twib7uQ/yUXUnu6vGQcj9QzAlKvuhB5RfCSESFcyD883vqaT0A65/r/ENw4nhvhV3CjuEtWIcdxXGau+qz+dqPk/0L3hI7hNS/NEpA6Q0DkkvkYXtdA/88ERO6Yl2YJsnpUQGQ9ZzpVix3Da99Ax2D6MQ1Tg2RqWFfXoPUau9QIeLburaLWzmmf7zH8ePOzHSmjYSowxpRrhayJPclkR9VvzsKDEW/eNu+uTHqdd9PywLHw/g/3yEVaINDxEhCGiCfGY2axBXNwxIQgk8Z462u5BCvvXh6RJQIi11zIPyoTkU4u5B8uIHJJkMnO0PG6GRl59wuyukdA5BKP1AECKsniZXWDgMi1zMHFvwqV1tlLfhI80etAZq76LI/8LwoyqeRlUmpOROiSiVvfL6L6M5HahZfVkTxSb8S7/Irj2AQkloGOwfRjGqYGydTw4PFwwNNjxEKtptbeE4HMmPM0vJhnbS6SdH8Oc95YaWi7ZU/sQXZH1S8QaNC8U9YZ2vR5bXnMJ4RZqSVZc9zwZdi766nrk0zijfOYWWiZyP9YPMRbX7Q9II96Zn6NR+prwY3mNwWkVvCy/61OvQseivB1cNF3XV51Do/IBV5Wrwgy2cQj9Y8t2jS4+FeCTFYLSL0qIHKel9WiJ3OLftT8Phciz/CIHNCP/CVVvOx/K6NP/oPxto12h3IaHfVLg+mXOjANna1hyepjjgl4zlRf0roPX2j4s/9obUpo6HQCdQ0Rup4sO8f0M3HoeEBzj1xk6PNWwc6k1nc3Ld+ZG85TMmP+XuraJJN44zxmzBxptDuU0+jIXxpMv9SAaehsDSflhzMuzyyOfW+A1Yx4f0NSMlWn83N4rPRs+C3XyIVxvVnq6PoVrQifPCXIqrZ6W1nS6rqblgPeDO+DWrHlFHVdkgnteJGZyQQvyeARmS4gslSQCRGQ+p4rt+RPtP1KJaPdoZxGR//SYPo5H6ahszU0J2Vbt8P6BICxYl6T/8qHm1NCQ6ezaVdFxGlPTL+W1NU1RCTj7PXqUq2sIjkJAFvTsurMJa3r0PCm+NJya0+Ccxq040VmQROQOkOQSWNof4d5rweP1Fm0/UsVo92hnEZH/9Jg+jkfpqFzNTxZds4IdroOXaBVnknu2vf28MWBasMncdQiy/akpPNzWLIqvMxu7Iz4JnXpoN/xU+ciTqAa//HWpNTTmpbmieJL45dT1yPZ0I4XmXEc5/Kq2TxSm3hZXZA5uPhXGX3yH/wdKvqqCxX/hpfVBYJMGl1e0oe2n6lgtDuU00iHLw2mn7NhGjpXwyUbS42AZ9DkNdTbefasvl/h+VeWJLRh2k4NU4EZ8/caer6PdzP97sLiDScjlmItWm/tcdB30/Iz09u/1z+JPVdLqkE7XmTGcZyAyG5BJptauXxPcKP3dludSlGj3aGcRrp8aTD9nAvT0LkaTjXlhog3ME0G4z8O5yWJJ2eFnRqmAmY9leXx7atJJ/3Mej07ZrF2/FTsm/bj0XLsjM1Gvb6lh6nrkGxox4vMOI4TELnmkv1DWrvukv1DBFm9bKdPqWq0O5TTSKcvDaafM2EaOldDc+K/ZZucs+HVvGTI+846R2uYCgx+a42h59rt5Uy/NiiruKD1ejWcG2fUtI1JPxK6eT6eHfvPUNch2dCOF51kIA88kJGXcb/tFfMyqRdkMrrV60gdwyO1wU6fUtVodyinkU5fGkw/Z8I0dKaGpysval1MS01KTztnw6v51KauQxdopysT35uSzs+heV/DwWMBpl87WL2tPGIpVtGKo5aVHU3LIyfrjLqyKOfjsQva8SItAz7YWfRBI+YXMZwEMLwlKtINUZHettUZAZEVPCKnft939l83v/akp+hvBFkt45G6ylanUtRodyinkW5fGkw/58E0dKaG5gAr542V1NvYHHPivBWbE387k67P4enKC+FM30PVuAPbdNTv7YKdEccXHzwe3+StPVqa9554p1jz1s/p0I4XaZiowG6iApsAhsc5juN6FMI/iQpsEjE8IWK4DmCpUfTBAbY5lIn8j+mnXZFyAZHcTEQ6ZSLSiZeJl5fJaQGRO52HkCdscyiFjXaHchrp+KXB9HMWTENnamjemDx5zg7qbWyOeX/KlHlfOFLDVGDngTMRWb6Zfu2n8sxF7aXxyyMmBoFA4kuxomn5ri/8vH+gOGc/VjKhHS/SMBHDdUCRDmYV9H6Y4zhOVDwfAQXe6YZf+mHweglQ4G5bnRK8/l4CIpdCR++Gj+RVL7MTsNpvtDuU00jHLw2mn7NgGjpTQzRlnRHwkDXHqbexOSu3lBn+9Xs98Tc06focmv+yPvy9DUy/GNm8uzJiqeKchQcTLjOalkPeXmvUsXRjKfV22wHteJGGAQXWu7FniOnnCqBIu0w/ewCGV2x3LHPwvG+4ZOJ2If9wXlZH8rIfPOkp+hvbHUlho92hnEa6fmkw/ZwD09B5GlbXXNK6Dw8nPDt8oo56G5tTUXVR6zYs7OPRk2cdpWGqkL/ggKHhWwU7mX5xMP3zPYaG3Ycv0HYfqkmovOZaVtfUR/THY6WJPeupAu14kYYBDK+IPk82x3Gc2+f5N1GBTcAHJ4euiz44GCjwAj0PmcVttDuU00jnLw2mnzNgGjpPw827K41gp/e4ZZae8GMl5rc0xauOOUrDVGHynB2Ghp8l8Nf7dNXv7Fl9ggAnrjJ0lCau1qpr4t8k3lzLbXurIvoj7fbaBe14kYaJWNovYjhX/zecALDUKGIpg+M4DgBwH8Bwk4ghS7uRika7QzmNdP7SYPo5A6ah8zQ0/1U8WdmereAT/37L/EzX53DYu+stWdqTrvqF2HWwOuKN3Iz5ey3Tct6Sw0a542Zuod5Wu6AdL9Iw0efxigpsAop0UFSk28HN6Pe4fTmPAAXuBlhqdPs8L9L2k1kcRrtDOY10/9Jg+tGHaeg8DUdP25RwYjo72Gr6y/BzLy/RAgm8qUnX5/DFvGWGhl8cqGb6JcCnanji3mWoqm3dU2WJlubEhwWLDlFvp13QjhdpmYjhSBHDQ0CRlmcp2T/nOI7Lmgt/CRR4QcRwGG3/mMVptDuU02BfGkw/2jANnaVhINCggdGLjIBnT4Lr2ZNJbaBeA6MXswA6Tqpr6iM2UFdUxZ9PJR31a05toF7LNW0W7zthhVZ15lLCWponiVv2VFJvp11YEfOJPs9QoEgaKMz5r9BnXWZ6viZiKQ8o0jGgSNeAIp0EPvhO5rxe34j4XewZCxRJawGW1kfel/1HEUsbgSJ9KWLpvIil2VlzXvi2Ff4blsfdSyURITPrjHaHchrsS4PpRxumobOFui7IAAAgAElEQVQ03HWw2gh2nh2zOKG3CnYwdsZmtochTvYfrY14g5RIWemoXzQOHgtoPUYuNHR9J44jos1aHj91ziir27AF2pnq2Cc0qUqi8V7WXPhLUZFuNJ+AiBiWiAq8ChTpZVHxdBJ9nqEASw1AgbvNQT5QIAEK3At8nj9EMM/zH6F7esz1/BpgeB0o0ipRgd3c2DNQVOAlEcPtXB53b6JtYNaBjHaHchrsS4PpRxumobM09C0Nrzd/efom6m1rC2X5EXaMbJys3hY+ynjI22sTKisd9WsN8zMpyKq2dnt53Fou23TKKGfQ5DXU22YnicR6Gfl9HtSXMcEK8wTE7cv+T6BIWvNkfm4f/DNQJM3tg11CnwEFVogYTrtbPQDDxUCBZY/O9HzF+MyX/bj+pgSKbfkJFFgWKyKWTsWuSJwmyP4X7obLS3q7EHkmE/kfyxw87xttl5i+RrtDOQ32pcH0ow3T0Fka5s0Krze3IqdBsjl4LBBxBGpVnH8hTsfnEC8LB8oTPtmWUFnpqF9r1NU1aCPf32Bo++dXl2rllRfi0tJ8xO/Uebuot81OEon1APZ8ALB0xI2hZJ6AgMLsRwGGn4ACz4/M9+t7LCTNjaHEcRyXNeeFbwcnEf1arSMPPAAwvC4q0tst64cBgKWCNv1UpGMihkcjUODVYPbzGoClNcEM6JXBzelnAYYrY1ckTjMnHwwlIGz+mXFNVq+7kH+4bc6lmNHuUE6DfWkw/WjDNHSOhnV1DVqvsUuNgGfr3vg20dpJXV2D9mLe8rj/2my1hqnEe77dhm4fFe9LqKx01O9uHCs9G7E/6fXZ7Z/gmbWUp4ZPKVuw7gT1dtlJvHEe8MHOQIE39eVRUp/mS7CimYjhBKBIWo950u+DZTwFFEkTFTgHKNJJUZFuB99AyBzH3cNxep6O1iYpweNyv4jVd3chdAEF3nT74J+jlPmsPuHxgFjLjdtcuX5BkNVzPFLPuJB/lAv5u/G56tMCIrm8rB7mZfUKj8hQwUtGCIjsFmTS6JKJ2zYHU8hCHZuh09TUpDU1NVH3I1Vh+jENnYBVGt68eVurPX9Fqz1/RQucv6Ldvk2/be3h0uXrht/1X96gqmEqcaEhrNuVazcTKisd9WuLK9duGfrWnr+iXb12KyYtb99u1AKm37958zb1NtlJPDEe+PSl7wIMAyL2jOE4jmvPBERfMgVvmt8siBiO1Dedww0Ae3jgg08BDGcCRdKAD77DcRzXY172/7S21AoocImI4YmY/VekXQBLH7buK3wXKPBwrOXGbTxSZwlIPRlteVWn3gUP8bJ6WJDVaRzHcY96Zn5FQOo2XlY32OZgChntDuU02JcG0482TEPnaHjl2k0j2Dlff416u9rLVVOgd+5SfH6n43N49uJVQ7frNxILbtNRv/Zw0TTJC1y4qt26dafdWt4w/UGg7sJV6m2xm3hiPKDAhSKWtgAA7uO4ticgogK7AUW6JmJ4qIvP853Q5z0K+/3Y7YNdQB54oNn9nwIF3ukx1/N9Eef8r75vJKfFH/yDE5CjsfsvXQstA4vqrw8OAIp0LdZy4zZBVs/dbVkVj8hQQVbPhX52yf4hAiKX7PEutYz2K0WnEerotP1IVZh+TEMnYJWGk/LDWbFnJrgkx07KKi5EHCd7svw8NQ1ThUBdg5Y1Inxa0/FT5xIqL930ay+nTp/XepqWNY6Zvkmra+NkuZCW5s3sr3y4mXpb7CbW+M6NoQQwvJKl5PwsIy/j/oy8jPvdOKevPgHJfjQ0KQkZUDyjAJYagSJtM08+7lqHz9MdKJLmLsx5GsyD/67vG8np2/y+eDOWAwxLAYbzW7suYrjC7jcgDYKXjGj1uqyO5GX1SuhnQfbn8EhtsMe71DLaHcppsC8Nph9tmIbO0bDvhBVGwLNux2nq7YqFQZPXJLRWPt2eQ/PxrlkjFrYZFDP94mfllvBpY4KsasWrjrVLyzdmbzd+51P1APV22E2s8R3A0vqoeTuCiFg6zXEcBwC4T3+TIWkAw/lgCvhq87LcPk93gD09W9bh6QkUSesx1/Pr4Cb0WyKGk1reBwMilmbH2gYRe8aKCmwSFTjVXdj3pxwX3Ow+z/MfAEMlOGEaFGu5cZsgk9W8TE5neHwtZmh8/8K/FWS1jEdko+l+hUdkr20OppDR7lBOg31pMP1owzR0hoYny8IBadehC7TKM/EnpaPBjPl7Df8nfrqdioapxObdlYZenr+sSri8dNMvVt78LPx20T1qkXb4RF2bWvYz/UFgw87U+oOAFcQa34G5ff/VjeFvzAQTDmoAe3qG8ncADD8J7uWYzAU3lDc3UYHzREW60RX3/UFEHRguA4pUm5Hf58HQzyKGJ8xLtULH8EZbmtWWZeRl3A8w9IsKbAJYagxufr+j/xs2iRjOiLXMhKxzrv8PPFJv8IhcEJA62eVVs11e0puX1dcFpFbwsno70+t/nOM4TkBkob4J3T/EVidTxGh3KKfBvjSYfrRhGjpDwyUbS1M638CGLyoijj2N9S/66fYc+lcft3R5T7rpFysVVRe1Pq+FT2uTp6zTAoHoz2ho70jo3i4JZqlPVayI+ZrvARGVHCG4uXxziwSDPs8fQhMOMA/+O8DwClDgYYA9PfW9IpCICmxy++DzofLd2PNbUZFuAyytB1jKEn1wgKjASwDDrYkkInQX5jypHyUMF4tYWiRiz5Qe87L/J3FF4rDOQ8gTgqweDR3BG4acyESkE8dxXObgou/ysnpdQOoMDhTd11aZ6Wi0O5TTYF8aTD/aMA2doeHUwl1GwPOebzf1NsVKdU19RAbqvUdqbdcwlfioeJ+l/9/ppl88bNpVEbFXqWDRoVa13H6wxrhPmpj4G6pUxIqYr+UEBM676zItn8cb+l09NwhcKGKpLrhRfTvAOV1b1OHLflzEcLuoSDcAhgFRkT4Gn/T7lhX+O8r4If5f8F5/j8xc9dmnvSW/bnb5Ho7LY6nf72K0O5TTYF8aTD/aMA2doeGASauNgGfZplLqbYqHUdM2Gm0oXHLYdg1TiQmfbDO0wsuOJFxeuukXL+/jcO6V7sMXaHsP10TVcs6Sw8Z9bxXspO43DWjHi3aY2yc90w2/9EPzz+2Bps/M4jTaHcppsC8Nph9tmIb0NTxdeTHiL7OlcZwi5QTmLj4UcdqQnRqmGoPfWmtotXpbfMkb01m/eKmuuaR5/rLK0H7Am6u1mtr6Flq+PGOzcU/J6rtvWu+o0I4X7TB9r0d4s3to70drhK7b6iSP1D8Ksv9jQSaLBESWNodHZImtDqWo0e5QToN9aTD9aMM0pK/hmu3lRrCT/fpK6u2Jlz2HwstW3CMXtQjskqlhqvHcy0sMrfYfjW25GtMvMXYeOKN1G7ag1SOvb966E5FFfV+Mywk7CrTjRTvM7fO82B1LPzH/3B5sc9CF1J6CTBpb7v8II8jE3hlRihrtDuU02JcG0482TEP6GppPkJo8Zwf19sRLXV2D1suUc2HTrgrbNEwlKqouRmxwrq5p/0SN6WcNn/j3R5w6t21flXGt7Ey9cQ2MXqwFEjwiOVWhHS8y4ziOR2SfIJNKfoj6v4+Aogfa/g1mrRntDuU02JcG0482TEP6GspT1hkBD1lznHp7EuGN2eG9DR/FkEwxnZ7DLw5UGxq9mLfMkjLTST8rqKmt1wa/Fc5d0+/1lVpV9SXt7NnL2rKt4TeSIz/YSN1XWtCOF2lad8XzT0DxDAdY+lBU4FQ3llAoL4itxsvqdRfyI9sr7oBGu0M5DfalwfSjDdOQrobVNfVa9+Hh06Pulp8gFSBrwsfLDnl7rS0aphpLTUcuD3t3vSVlppN+VrH/aG1ENvp3C3dpZ89e1t5T9hifzSpp/yS6o0E7XqRlIoYjAYa3ggkJTUi3RewZY6szgqxWs7we1hjtDuU02JcG0482TEO6GpoT0vUetyzhjNi0MWf47jJU1corLyRdw1Tjs4UHLV9yl076WUnh0vBpV4Ksaut3ntYGvBl+M7Jme+IHBKQqtONFGub2ebqLCmwCirQLYCkrS8n5WZaS/XOAoRj8rNHtg11sc4iXyfuCTHZyrWRsZNZ+o92hnAb70mD60YZpSFfD/AUHjGBn/MdbqbfFCqDplKGlG9t3pHA6PYeT5+w09MlfcMCSMtNJPysJ1DVow95dH/FHgC5DwxOSsor2TaA7IrTjRRoGFLhZxNJ+c2Z141oeeEDE0n6gwLW2OdTZ6/+dIKtlvEy2CIjk8sj/nAuRZ5pjm0MpbLQ7lNNgXxpMP9owDelqOHraJiPYUZYnng/CCbznC+daeLudORTS6Tkc/t4GQ5/FG05aUmY66Wc1R0+e1cDoRRFvQlL9RDoroB0v0jCA4RURw2GtXRcxHCYq8JJtDkU78coMOwWr/Ua7QzkN9qXB9KMN05CehoFAQ0Tgs+dQy6RoqcjqbWVGm14avzypGqYifV5bbuiz88AZS8pMJ/2SgXnvUoiJn26n7hdNaMeLNAwo0pd3nYD4PEOBIn1pm0MuL+nDI/+LbWGbQylstDuU02BfGkw/2jAN6Wm462D4NKRnx3Sc4z6rzlyKyLNwqB0b69PlOayprY9Y4nO6nXtkmH7Jpa6uQRtrSj4oyKr2+Yqj1P2iCe14kYYBDDcBBe59dKbnKy2u5YEHgAL3iVjaQsM3Zgka7Q7lNNiXBtOPNkxDehr6TBtgX44xc7jTMa+rL2pHIJcuz+HBY4GISadV5aaLfsmktPy89vwrS4wDFNI1AWEI2vEiDQNYygpuQt8mKrCbvgk952dun6e7iOF2PRu6ByTNgU6S/2Fzvo9Okv/h9pA0hzqQ0e5QToN9aTD9aMM0pKdh3qytRjA6Z+FB6u2wkk/V8Ob6cTO3JE3DVMOc9X7wW2ssKzdd9Es2uw5Wa3/J36Et2XyKui+0oR0v0jIRe8aIinQbYKkxAgXeAQp8NamVCzJpdCG1Z+jnaPs+WoDInaQ61UGMdodyGuxLg+lHG6YhHQ2bZw3furcqKb7RYsf+M5HLywJ3X16WLs+hsvxIUk49Sxf97IBpqUM7XqRp3RXPPwU3nE8XMZwBFM9wdyH8l6RXzMsk35Vb/FvjZ0Q+42WS3xZJd6wDGO0O5TTYQMf0ow3TkI6GB4+Hl+L0GLFQq6mtp94OKwkEGrRnxyw22rh93903W6fLc/g+Dp8QNmP+XsvKTRf97IBpqUM7XmTGzFKj3aGcBhvomH60YRrS0bBk9THLs2E7jbyZW4w2zlYPWK5hKmLe6Fyy6phl5aaLfnbAtNShHS/aYaJPGpGlZP/c/HNbAMUznKbPzOI02h3KabCBjulHG6YhHQ0n5e8wAtGPivdRb0MyKFp51Gjj0Kl3n2Sly3MIJ4aTNG7aVWFZueminx0wLXVox4t2mKjAJoA9Pc0/twXAkr1pN1xe0ptH6ipeJgd5RI60QFYP2+pQihrtDuU02EDH9KMN05COhn0nrDAC0bU7yqm3IRkcPlFntLHbsAVa5ZmLlmqYatTVNWg9Ri40NDlWetaystNBP7tgWurQjhftMODLeSyroPfD5p/bg20O8jLxhjai84jU8IiUR8M2h1LYaHcop8EGOqYfbZiG9mt4suycEYR2GapqFVWtB+apTt/x4YnW6m1llmmYipww/b93H77Q0rwv6aCfXTAtdWjHi8w4jhOQekxA6iEBFf09bV9S3Wh3KKfBBjqmH22YhvZruHRjqRGIDpxs3VGsTuTtuV8YbX3Pt9syDVORLXsqDS1y3lhpadnpoJ9dMC11aMeLNK3HvJz/FjGcBDCcLyoSFrFnnNuX84jtjvBIvcEjdYDtFXdAo92hnAYb6Jh+tGEa2q/hu4W72hWUdwSWbQpPtuBfVlmmYSpC1hw3tBhjceLJdNDPLpiWOrTjRSqWx90LMMzXEw422/uhwDsihpNs9YdHpJz3qsNsrbSDGu0O5TTYQMf0ow3T0H4NB7y52ghEl20qpe5/MjldeUHrMlQ12nv81DlLNExFZpXsM3R4t3CXpWWng352wbTUoR0v0jARw5HBTOjFPebl/HfX2X3/unt+n28CH/wdUOBCgKVG0Qdfss0hHqmv8TI5ntEn/0HbKu2gRrtDOQ020DH9aMM0tFfDiqqLEQF5afl56v4nmyFvrzXaS9YcT1jDVOX12dsMHQqXHra07HTQzy6Yljq040UaJmJ4QsTS0rtcXw0UuM82hwRUkiXIapkgq2W8l0x1If8owUtGmHEhPzsXuB1Gu0M5DTbQMf1owzS0V8M128uNIDT7dWv3ATiVj4rDf/l/ffa2hDVMVXJNE7FVW1vfkB8P6aCfXTAtdWjHizQMYHgdKJ7+rV0XfXCAqMCrtjnEI7WpLQSZ2HsucIoa7Q7lNNhAx/SjDdPQXg1nzN9rBKGT5+yg7rsdbNpVYbS559ilWl2U05/S4Tl8/pUlhg77j9ZaWnY66GcXTEsd2vEiDROxtF/EcFbr1z1TRAyP2uZQJvI/1h5scyiFjXaHchpsoGP60YZpaK+G8pR1bS5H6mjU1NZr7pGLjHbvPlSTkIapSEXVxfDRy7KqVddcsrT8jq6fnTAtdWjHizQMYA8vKtINoEiDuDzu3shrUASKdE1UcgRa/jFLwGh3KKfBBjqmH22YhvZpWF1Tr3UfHk5Ed/hEHXXf7eLl6ZuMdhcsOhS3hqnKroPVRvt7j1tmefkdXT87YVrq0I4XaVhwo3klwFIjwDAAFLgBYLgSKLAs+Nl1gKUjESgw+YnIBS/J4BGZLiCyVJAJEZD6niu35E9Jr7gDGe0O5TTYQMf0ow3T0D4NN++ujAhCoy1F6qgULj1stH3UBxvj1jBVMR9HPHTqesvL7+j62QnTUod2vEjDRCydBhiWx0pSnRKQOkPPhB7KiB7e+8EjtdX1YswijXaHchpsoGP60YZpaJ+G+QsOGEHo+I+3UvfbTvYdqTXa3mPEwhZLkDr6czhn0UGj/ZM+s37vT0fXz06Yljq040VmHMe5vGo2j9QmXlYXZA4u/lVGn/wHf4eKvupCxb/hZXWBIJNGl5f0oe1nKhjtDuU02EDH9KMN09A+DUdPCy9DUpYfoe63ndTVNWi9xy0z2r9h5+m4NExV3i7YabT9U/WA5eV3dP3shGmpQztedIDdk1XQ+2Ew0/M31DwQENktyGRTK5fvEWSyiUfqdludSlGj3aGcBhvomH60YRrao2Eg0KCB0eGN2HuibMTu6EzM3260/8OivTFrmMqMfH+D0fbFG05aXn5H189OmJY6tONFWpZV0PthEUufASw16Ps+pEagwHpRgZ929WV/z1ZnBESuuWT/kNauu2T/EEFWL1tR16OemV8RENnqQuTdZp9/TZBJnoDUYwIi1wSknhRk8k7m4HnfMN/3NCr6Fo/UWbys1ur3ka3RTujih/h/ISCylJdJPS+TegGRYtfAkh+3aBvyd+NlsktA5BqPSI0gk3d+h4q+Gm/7aHcop8EGOqYfbZiG9mho3oT87JjFWiCN9n+EWLjuhKHBwMlrYtYwlXlp/HKj7Tv2n7G8/I6un50wLXXijfNS2br4PN8BCiwTFdgUPJLXJ2L4OVDgAT1DOqwAn/T7lm0O8TKpF2QyutXrSB3DI7Uh0Xo69S54SJAJEWRVaz4B4REpEZB6lff6X85EpBOPyFAeqQ0CIrszMvLu1+/Ku1dA6jYBkfM8Ih7e6+/By+oGHqk3nvaW/NqoZ4D6QwGR8wIiuwVviejykj48IlWCrJZlDCj6ulGnt4QXZNIoyERx5foFF/KP4pF6g0fq/HjbSLtDOQ020DH9aMM0tEdDn2kT9svTN1H3mQal5ecjjqItq7gQk4apSk1tvdZ16AKj7eZ2W0VH1s9umJY68cZ5qWwihtNERboNMBSbX3P7ctwAw1si9kyxzSEBkRU8Iqd+33f2Xze/9qSn6G8EWS3jkboqoTpk1RV8u3G++QSkc27xfwqyqvFIHWD+HV4mfxZkVctEaheO4zjBWyLq95U8GbrnEVD0gIDUkzxSF5vqmsYjteFpVGTM4oQhxf8iIHKH96rDwu1WDzVfesZ7/X11/4p/E087aXcop8EGOqYfbZiG9miYN2urEYB+tvAgdZ9p0X/S6qhLkTryc3joeMBo8zOjFyeljo6sn90wLXXiifFS3YJH8H7Y2nURwxlAgWW2OZSJ/I/pp12RcgGR3ExEOmUi0omXiZeXyWkBkTudh5An4i0/w0u+GdzkXiSgor9vPgHhh5BHeUQ+eTK36Efm3xNk/y/1e/0Sx3GcgNRPBVk9x3HcPeb7eOSfxCNyK3Pw+3+l/55aJiBS3NwPHqnbeUQ2chzHPZlb9CNBVjUBkUHmezr1LnhIQOQOL5Px8bSVdodyGmygY/rRhmmYfA3r6hq0Xq8uNYLQrXuqqPtMi2nKnqiZ4Dvyc7h2R3mrS8+soiPrZzdMS514YrxUN6DAm6JPgq1dF30SFBXphp0+cYLX30tA5FLo6N3wkbzq5URPwHoEFD3Ae/0/N+qKsgQrqk+ITBBkVcv0lvye4/QJRLTN8jwi/QRZ1Z5GxY9k9Ml/MDixmBDlvrnBCQznQv7Ogqxq0SZWPCJV8S7Dot2hnAYb6Jh+tGEaJl9D81/As0Ys1Gpq66n7TAtzMP5i3nIjF0pHfg4/X37EaPNrs5Jz/HJH1s9umJY68cR4qW5AgRUihtNavY6lD0UMq+z0ieM4jsscPO8bgrdEdCH/cF5WR/KyHzzpKbL8eK72TEAyvf7HBZnc5GWy0vg9pB4zL7UKGS/7gSCrGj9E/V/XgKK/E2RVMy+1Mu5DZDqPyC393/7nWltqxcvqYXO9sVioYzN0mpqatKamJup+pCpMP6ahE2hLwxXbTxsB6Mhpm6j7S5Or129pWSPC2eAraxvapWEq84kazgGSv+hQUuroyPrZDdNSJ54YL9VNxHAaUOBNUYHdml8DWMoCCrwpYjiDhm+2WFsTEBfydwuehHUow+P7TuhzHpETgkwWNb8/NAFx5Rb/9qlB+Af6PhEytMV9iEznZfW6XofaU5+0kEdblqce5pG6LJ620e5QToMNdEw/2jANk6/hVLzbCEDnLDlM3V/ajPlws6HHwo2n2qVhKvP6p+Hjh5dtKUtKHR1ZP7thWurEE+OlumXNeeHbejZ0qREocF/wFCwfUOA+gKVGEcOqpB7Fy8vkQ/Nf/nmZfNgmiEy3qv67TUBcyD9KkEmjgNRt5smH/ntkZ2gPR0R7gkuwOg0q/jf9OF9Vi7aHg0dkroDUQNAHl768y/94lPuqBJko8bSN9itFpxHq6LT9SFWYfkxDJ9CWhv0mrDAC0LU7yqn7S5vPFobfCIydsbldGqYy0sTwxvsNX1QkpY6OrJ/dMC114onxOoL1mOv5voilz4K5P5pEBTYFc4IUdMV9f5DUynmkNrmQ2tP8c1sIMmm0qv6oExBQdF9wk7nGI3V+tFwcLq86h5fV2hafy+RNXlavPwKKHuA4jhOQWhFtAsEjskNAZA3HcVynQUX/aN7gHrKMAUVfF2TSyHvJ2HjaRrtDOQ020DH9aMM0TK6GJ8vOhY+eHapqFVUXqftLmy8OhHOigNGLtNpAfYd9DuvqGjT3yHACyqMnzyalno6qHw2YljrxxHgdzO4Bn7703a6+7O9xedy9ttToGljy40c9M79m/rk9WFV/K3lAPtE3j6uTuWanXIUsM1d9Vn+7UfJ/oc9Cx/Cal2YJSJ0hIHLJfAyva6D/ZwIid8xLswRZPSogst5cHzuG11rYQMf0ow3TMLkaLt1YmvQTkFKNQF2D9tzLSyJOBeuoz+FJU+6T7sMXaIFAchJQdlT9aMC01IknxmNmsblyS/6UObjou61d7zRA/aEg+1+wqr7mExBXrl8IvvnY3DnX/4fmPDUI/4DjOC4jI+9+QVb3BE/rGiCgkixeVjcIiFzLHFz8q1B5nb3kJ4KsXuYROZCZqz7LI/+LgkwqeZmUmhMRumTiDtbrz0RqF15WR/JIvRHv8iuOYxOQ5rCBjulHG6ZhcjV8t3CXEYC+59tN3VenMP7jcF6Uj/37O+xzuHVPldHO7NdXJq2ejqofDZiWOvHGecwsNEEmjS4veb616y6vmi0gcs26+prlAZHVeaEBLBq8TLyhezMHF33X5VXn8Ihc4GX1iiCTTTxS/9i8jszBxb8SZLJaQOpVAZHzvKwWNc8zwnEc50LkGR6RA4JMbvKIVPGy/62MPvkPxts22h3KabCBjulHG6ZhcjUc8GZ4/f+yTaXUfXUKJauOGbp4p6zrsM/hgrUnjHaOnrYpafV0VP1owLTUiTfOY5aA8ajkp5EbzNUmHqmrom4+9/o/4mVSKsikjrbfqWC0O5TTYAMd0482TMPkaVhRdVHrMjT8x6LS8vPUfXUKx0rPGrp0HbpAu3zlRod8Dj/27zfaOXXerqTVw/ox09JqrIj5RJ9nKFAkDRTm/Jf5c4BhP6DAwwDD6wDDchHDVwAA95nvycjv8yDwwcl6dnJ4HShwr9uX425eByjw/EjE8HOA4TmA4RWA4Uq3L/s/rfCfigmIbDVvML/rJnRZve1CfkTb51Qw2h3KabCBjulHG6Zh8jRcs73cluU3qUr26yvD+0D2V3fI5/CN2eEjeOctOZy0elg/ZlpaTaLxXtZc+EtRkW40n4AAxdMfKJImYjjNXQhdIoaTRAU2iRi+Zf59EcPPgSJdAwqU3T7YBSiQ6KdS5QhGWdPB10UsnQIKLBMLpV5iYc5zQJEOAixd7DEv+x8SbQMV+33f2X/tGljy485e8hMeqU0u2T8k2sbzzMEl/5DIkqR0M9odymmwgY7pRxumYfI0nDF/rxF8Tp6zg7qfTmPqvPD+mA+L93XI59D7zjqjjSu3lCWtHtaPmZZWk0isl5Hf50ERw0NAgRXmCYj+uXReVOA88/0ilsaLinS7x1zP9zmO49wY/jNek3oAACAASURBVAYokib6PNmm2+4BWFovYngo/HtwGMBSY5aS87PQZ+CTft8SFXjpbhnN22NZBb0fBoXS/8uaC3+ZNeeFbydSVtzGI/+Lnb3kJ1Qq72BGu0M5DTbQMf1owzRMnobylHDwSdYcp+6n01ix5ZShD5y4qkM+hz3HLjXauPdIbdLqYf2YaWk1icR6AHs+AFg64sZQMk9AehTCPwFF0sxvMTiO49w+z78BRdLcOKcvx3EcUOCrogKbMuf1+kbEfcHy3IV9fxq8by1QpF0t64cKwFJlPL67fZ5/A1haD7DUaKDAO0CBa7OU7J/HUyYzBxjtDuU02EDH9KMN0zA5GlbX1Gvdhy80gs/DJ+qo++k0Kqoual2HLjA0qj1/hbpPVlJ15lLEgTFnqi8lrS7Wj5mWVhNvnAd8sDNQ4M0ecz2/BljqY56AhCYQ3RXPP5l/59GZnq+Yl2EBDBURw6rmZYsYPgEUSQPYwwfvC4gYzo1y3wSgSFqngt4PxeJ7dyz9BCjwAlDgHYClBSKGfxEVz5sAw8XBScgFUOBpcWBT8gwU3cd7yVgBqScFRL4UELnWEvWqfQ6lroU6NkOnqalJa2pqou5HqsL0Yxo6gWgaXr9xW6s9f0WrPX9Fq7t4lbqPTuV8/TVDp6vXb1H3x0pu3DQ9AxeS+wywfsy0tJp4Yjzw6Uvf1ScFnjEcx3HNJyBA8YwCiqR18Xm+0/x3RQVeFTGcpd8nLTcvtQpZj3k5/x2cgPTUf0e6EW2pFVA8w4EiabFmLhcVOEdU4FU39vw2at0YXhEV6eNYykzIeJmM55HaJCBySd+cTtZFwzaHUthodyinwQY6ph9tmIbJ0fDylZtG8Hmx4Tp1H51Kw5Ubhk6XLncsna5ev2W07Xz9taTWxfox09Jq4onxgAIXiljaEjrRqvkERMSeMUCRtGh7KoITkBn678GVQJEONr8nPAGBzwbvuwWw54OWfgQnIL7s78Xmv1TbfDN8hI8YvhXtzUzSjEeknJfJFnN2dGbxGe1Xik4j1NFp+5GqMP2Yhk4gmoZjpm8ylt7gZUeo++hUzIn6eo5dmrRM4TQoWHTIaNvE/O1JrYv1Y6al1cQa37kxlACGV7KUnJ9l5GXcn5GXcb8b5/TVJyDZjwIA7hN9cIB5D0fITEuwJnEcx4mKVBRtD4exBMsHO3McxwFFOguwVBDlvglAkbSM/D4xHRIFFHhT9Enwbm0UFelGLGUmZHr2b3+ObRV2YKPdoZwGG+iYfrRhGlqvYSDQoIHRi43gc/ehGuo+OpXaQH2EVsk8Kcpu3pn7hdGu2WR/Uuti/ZhpaTWxxncAS+uBImmtIWLpdI9Cz/+ZJxAhy1Kyf66/2cjpzXEcB3zwNaDAO833cISO8O2GX/qh/jPcIGK4vbkvIoafi1g6FXMbFOmkqMA5rV0XMZwbT7lxmyCrR3mv/2XbKuzARrtDOQ020DH9aMM0tF7DXQerjcDzmdGLtUBdx/mrfjKYMi8cqI/6YCN1f6xi5AcbjXYtXH8iqXWxfsy0tJpY4zswt++/ujH8jRkRS3mhPRtgnuc/Mt/P/CugwPrmQb6IpfFAgTdDezbc2PNb/Rhe+JLptnuAAjeYl2aJGI4ECrzjLoT/YvgRPIY32tKstkzE8C/BU69yuTzuXuNCHnev6PN4AZYaRcXzZqzlxm28TLyCrFZ3kvwP21ZpBzXaHcppsIGO6UcbpqH1GuJlR4zAc8z0TdT9czr7jtRGnBZ14FiAuk9W0HfCCqNN2/ZVJbUu1o+ZllZjRczXfA8Ix3EcUKAcTEQ4C2APD3zSRPPyK9N9C4ObzEe6fbALwNAPsNToLoQu456Znr8RMawCWKp0+zwvAgyfBQo8ADA8F08iwi4zPV8DCtytH78LzwEMtwY5B7DUKGJpP5gOvp6YKjGYgMggQVbLeKQ2CDIhvNf/ES+TDyNAZLptDqWw0e5QToMNdEw/2jANrdfwtVlbjcDzs4UHqfuXCoz5cLOh2Xu+3dT9SZTaQL3WbVj4iOFTp88ntT7Wj5mWVmNFzBdtAsJxHAcUaZCI4QmgwJsilk6JPjia47h7zPd0men5moil9wCGgWBG9N2iArs1r8Nd2PenwSzpl4EC6wGGy7IK+v0iXp87FfR+KPjm5qCowKvBug+LWBpv6+SD4ziOR2pTWwgyabTVqRQ12h3KabCBjulHG6ahtRrW1TVovV4NJ5/buie5f/nuKGzed8bQDIxerFWeuUjdp0Q4fKLO1J5FWl2Sl+Gxfsy0tBra8aIjLY+7t3kOk6Saa2DJj9uDbQ6lsNHuUE6DDXRMP9owDa3V8NDxgBF4Zo1YqNXU1lP3LxW4efO21mf8ckO7ohVHqfuUCOt2njbaMuDN1Umvj/VjpqXV0I4XaRjAUqPbB59v7bob5/QFWGqw0ydmFhntDuU02EDH9KMN09BaDf2rjxuB59Cp66n7lircudOo4ZXHDO2kiauS/tYgmRStOGq0JW/mFlv0Y/2YaWkltONFO6zHXM/33T7pmRCiAptEBb5v/sy4VpjznIjhCqBIX9rsZt69guzP4ZG6jEfkSGev/3eC7P8lj/xv8P0L/9ZmZ1LWaHcop8EGOqYfbZiG1mo46bMdRuD5UfE+6r6lCnfu6FnRuw8P75vYtKuCul/xMu3zPUY7phftsUU/1o+ZllZCO160wzLy+zwIFFihbzq/O8HJSVO0vCNJs0dA0QOCTFYH93rcFGTSmOn1P56Zqz6r7wEhRzIHF33XNodS2Gh3KKfBBjqmH22YhtZq2M908tHaHeXUfUsVQhq+MXubod9rs7ZS9ytexs3cEl5OtjL5y8lYP2ZaWg3teNEuc+N+v9JP0JL66JMMz0dun+fFlsA/Ax98KpTl3RZzeck4QSaNPCKepwbhH/BIbcr0+h/nQNF9vJcM5mX1Nu8lU21zKIWNdodyGmygY/rRhmlonYYny84ZQWeXoapWUZXaG6lpaLhtXzgzerdhC7Tjp85R9y0eBkxabbRj/c7TtulHu90dAaalDu14kYYBDPPd2PNb2n4YxiNygkfkM47juCcG+r9tTEDC12fyMiml5mAKGe0O5TTYQMf0ow3T0DoNl24sNYLOgZPXUPcrlQhpWFfXoA2avMbQcVZJ6i1jq6tr0MRRi4w2HDlRZ5t+tNveEWBa6tCOF5lxHMcj9YZLViHHRZ+ACLI/h5fV6/Q8TB2j3aGcBhvomH60YRpap+G7hbs6VC4LGhqePRu5kb/X2KUpd5JY6enzEW9xAoHkb6Zn/ZhpaTW040VmHMfxslrr8pJxHNfKGxDZ/xaPSA09D1PHaHcop8EGOqYfbZiG1mk44M3wsptlm0qp+5VKmJ/DM9WXtOdeXmJouWj9Ser+xcK2veFlZP0mrLBdPwbT0gpox4vMOI5zedU5AlIDTw3CP2g+AXF5yX/xsnqFR2QubT9TwWh3KKfBBjqmH22YhtZoePnKDa3LUNUIPEvLk5v5uqPR/DmcbjpFCk1ZR92/WFi47oTh+6hpG6nox2BaJgrteJEZpyciFBA5L8jqOR6p8wWZNPKyOo9H5HNBJjd5mdQ/jYr+mbafqWC0O5TTYAMd0482TENrNNx5uNYIOrNfX0ndp1Sj+XN45ESd1kUOT+h2Haym7mN7+YTsN/x+Z94XVPRjMC0ThXa8yCxowpDif+GRuko/DUttMrFZkP2/pO1fqhjtDuU02EDH9KMN09AaDecsPmwEnZPn7KDuU6oR7Tl85cPNJk13UvexvUz8dLvh99zFh2yp89bt21rg8rmUTt7oFNiYqEM7XmTWzPj+hX/bObfkv125xb99Itf3Pdr+pJrR7lBOgw10TD/aMA2t0XDkBxuNoJOsOU7dp1Qj2nO4dke5oWmPEQu18soL1P1sD2jKOsPvFZtPJb2+msBF7bW1UzWgSNrUDbOptz/VYWOiDu14kZZlFfT7BcBSn9DPQPH0B1iqBBiWA0UaRNE1ZokY7Q7lNNhAx/SjDdMwca7fuKVljVhoBJ2HbDh2taMR7TkM1DVo/V5faeg6z6a3CYnS69Wlhs97Dtckvb7Z2+drQJE0oEhaDhlJvf2pDhsTdWjHizRMxNl/BAq8CRTpGMdxHCjM+S+ApUYRS+cBhqUAS41iYc5ztjrlQv5uPFJn8UhdLCCytDk8IktsdShFjXaHchpsoGP60YZpmDgHS8MJCP/86lK2DCYOWnsOC5eEl7b1Hb9CCzhc26rqS4a/gqxqVdWXklrf9pMHtWeU/sYEZM4OP3UNUh02JurQjhdpGFDgEqDACjfu9yuO4zgRe6YALDW6fTmPcHncvUCBa4ECN9vmkMvrl6Ps/YhAkEmjbQ6lsNHuUE6DDXRMP9owDRPn81XHjIBz/MdbqfuTirT2HJ6uvKC5R4aT+q3eVk7d17ux93BNRA6TZNZVWXNO67/gZWPyMWrFRK02kNwJTzrAxkQd2vEiDQMKvAAUz3DjZwyPAwUeDl/39BcVeNk2h3hETgmyuqdzbtG/cqDoPtsq7oBGu0M5DTbQMf1owzRMnHGzthpBJ152hLo/qcjdnsO3C3Ya+o6Zvom6r3djxZZThq/eJB8f/N7GfGPy0Wv+YK3qUvKXe6UDbEzUoR0v0jCgSNfcOKcvx3Fcj8J+PxYV2CQq8P3wdU9/oMB62xwSELnGI+KxrcIObLQ7lNNgAx3TjzZMw8QIBBq0Z8YsNoLO3YdYEBgPd3sO9xwKv1Xo4vA9NvMWHzJ8/cun25NWz9ojO4zJB1AkbenxdawfWwQbE3Vox4s0TMTwKMCeDziO40SfZyjAUqO7ELpC14ECFwIF7rPNIR6RHbxMxttWYQc22h3KabCBjulHG6ZhYuw6WG0EnM+MXuz4PQpOpa3ncOjU9YbO05Q91P1tjSnzvjD8/MS/Pyl1lJ2p1fr6hxmTj1dXTtFu377D+rFFsDFRh3a8SMNEDCeIinRbxNIioEhfAixVPzrT8xV3Yd+fAiwtAFhqFH0er20O8bnq07ysXuRRyZO2VdpBjXaHchpsoGP60YZpmBh42ZGUWR7kZNp6DpdsLDV0fnbM4qRv7o6XUdPCxzEvWHfC8vLr6hq019dMMyYffYpl7URVFevHFsK01KEdL1KxPO5eEcMZAMMrQJGOAZ/nDxzHcW4Mf6NPTOA0Lo+71zZ/HvXM/AqPyBJBJo0CIpcEWT3KI3IkAlk93HZJzGh3KKfBBjqmH22Yhonxmmn/x2cLD1L3J1Vp6zmsqa3X/mw63rZ41THqPkej34QVho/b9lZZXv7C/Wsjll4tP7S5Xfox2g/TUod2vOgkA3nggayC3g/bXjHvJVP1067ILR6RKh6R8mjY7lgKGu0O5TTYQMf0ow3TMH7q6hq0nmPDQfHWPdYHnOlCe57DT/z7Da0HTFrtuOOOA4EGrduwBYaPpeXnLS3/aMVprff8XGPyMXndrJj0Y7QPpqUO7XiRGcdxgkzqBETW8P0L/5a2L6lutDuU02ADHdOPNkzD+NljOnJVHLVIq6mtp+5TqtKe5/Bk2bmIAN9pE74jJ+sM39yjFlk6QQrU1Wujl79pTD48ZJR2ujq8GZ/1Y+tgWurQjhdpmRvn9AUYLgMK3AewdKQFpmN5k268rF4RZH+ObRV2YKPdoZwGG+iYfrRhGsaPOUneuFks/0citPc5nPDJNkPz1z/ZRt1vMxt2njZ86z9ptaVl+3Ytilh6telY5EZ81o+tg2mpQztepGFAkQYFj95tAhgGAIbl0bDNIR6RdS5E3rWtwg5stDuU02ADHdOPNkzD+Hl5+iYj4PSvtX7DcTrR3udwy55KQ/NuwxZoJy1e5pQI81ceDU9IP9piWbl7y45rz38+0Jh8zNhSGLd+jLZhWurQjhdpmIjhURHDo+7Cvj+l7QvHcRznyi3+LS+Teh6pA54Y6P82bX9S2Wh3KKfBBjqmH22YhvFRU1uvuUeFM3SXVjnzVKZUob3PYV1dgzZg0mpD99kkOUfdxsP0oj3ho4I/t+ao4OrARc27+DVj8jF40TituvZC3Pox2oZpqUM7XqRhoiLdEH1wMG0/DOOR+gWPyFlBJo2CTBp5RG4JiFyLRL1K289UMNodymmwgY7pRxumYXxs3VNlBJu9Xl2q3bp1h7pPqUwsz2HxqmOG9r3HLXPM3ps804lon684akmZs7YqxuTjuc8HartPRS+X9WPrYFrq0I4XaRhQYBlQoEzbD8MERNbziKxrC9p+poLR7lBOgw10TD/aMA3jw3wi05sFXzANEySW57Cq+pL2zOhw9vmlG0up+3/27GVt4JtrDJ/W7TidcHlbT+zXnlH6GxOQuTtVS/Rj3B2mpQ7teJGGAQW+CjA8DqaDr9P2hZnFRrtDOQ020DH9aMM0jA95yjoj2Fy2tZxpmCCxPofv492G/sPeXU/d/7q6Bg2YJkWHTtQlVF5FzVlNUkcbk4+RyyZqgbrW3/SwfmwdTEsd2vGiHSb6pBFmgCK9HMyAXili6T3RB0e3vMcznLbfzOIw2h3KabCBjulHG6Zh7FSeuRhxHGzNuS+ZhgkS63N48HhA6xLUX5BVbc/hGqr+l1VciNgcXxtIbFnYlA2zjclHr/lDtMOnyy3Vj8G0bAva8aIdFjrxKhYAlhpp+80sDqPdoZwGG+iYfrRhGsbO6m3lRrDZd8IKpqEFxKPhGNMpZO/M/YKq/9v3nQk/E+NXJFTWqsNbI47cJftWJUU/BtPybtCOF+0w4Mt5LB5o+80sDqPdoZwGG+iYfrRhGsaOefnP2wU7mYYWEI+Gq7eVhRP/jVykna68SM3/hetPGL6M/GBj3OWUnqnWXioZakw+xq9+r10JDdkzaB1MSx3a8SINAwWeH4Ep4KutXe+e3+ebIpYybHSJmVVGu0M5DTbQMf1owzSMnf6mY2CXbixlGlpAPBoG6hq0l8YvN/4vCpcepub/bPVAeFIa59uYuroGbfzq94zJx0slQ7XSM9VJ04/BtLwbtONFGgaw1Oj2wedbu+7GOX2BIn1pp0/MLDLaHcppsIGO6UcbpmFslJafNwLNLrKqlVVcYBpaQLwaFiw6ZPx/9Ht9pRZox9uCZDApf4fhR8GiQ3GVQfatilh6terw1qTrx2BatgbteNEO61HY78cRm8wV2CRi6Gu+8Ty4+XwUUKRdAEsXafvNLA6j3aGcBhvomH60YRrGxuINJ41Ac+Cba5iGFhGvhmUVF7QeIxZaevxtPMhT14dPRdt0KubfP3y6XOs1f4gx+Xhnwye26MdgWrYG7XjRDgMA3CdieMi8wbzNjegYvmWrk/wQ/y9cXtLH+NlL+gsyqeQRKRcQGWSrMylstDuU02ADHdOPNkzD2Jg8J/yX7unBbNdMw8RJREPz/8nYGZup+N973DLDh92HYjuRK1BXr41cNtGYfEjqaK2i5qxt+jGYltGgHS/aZaDA8yPgy3lMxFJGcIIxIfrmc88f3IXwX2x1jkfqHwWZ3BSQeozjOM7lJf8lyKRRQOQ8L5NSPTu6/zlbnUpRo92hnAYb6Jh+tGEaxkaf18J7DtbuKGcaWkQiGu46WB1eFjdU1Y6cTCwHR6ycqb5k1C/IqlZ5JrbN8HN3qsbk4xmlv7b1xH5b9WMwLaNBO16kYSL2jMsq6PcL2n4YxiOyREBqRebg4l/pP6tTBJk0Po2KH+G4vHt5pK7lkbqZtp+pYLQ7lNNgAx3TjzZMw/Zz6ESdEWR2H75Aq6q+xDS0iEQ19JoSQ35YtNdW3/ceqTXq7jl2aUy/u/vUUe25zwcaE5BZWxUq+jGYls2hHS861br4PN+xrTIekQsu5DcyH/IyOc7L6mHjZy/pL8jqZdscSmGj3aGcBhvomH60YRq2n6KVR6Nm32YaJk6iGpqPwX3u5SVadc0l23xfuTV8HHDuO2vb/XvVtRe0wYvGGZMP7+LXtOpAfEcJs2fQOpiWOrTjRVrm9nm6AwwVgOFiEUtLQwAMVwIMdwAF3rTNGQGRa7zX35fjOM41sOTHPFKbeJm8H7rOe0l/Xib1tjmUwka7QzkNNtAx/WjDNGw/ebO2GoHmbPUA09BCEtWwprZe6zl2qfH/Q9Yct833wiWHjXrfmL2t3b83Y0uhMfl4/vOB2t6y+H1mz6B1MC11aMeLNEz0SdC8Eb35pnSA4XWAoWKbQ4KsHuUR+YDjOI5HZKggk0ZBVl3GdUQW8ojss82hFDbaHcppsIGO6UcbpmH7CNQ1aM+9vMQINLftq2IaWogVGs4s3mf8/wx+a41tvk8t3GXUO6tkX7t+Z9OxPRFH7vp2LaKuH4NpaYZ2vEjDgAL3AgzLs5Tsn4N5nv8AWGrsMdfz/R5zPd8XsWcKUOAdEWf/0TaHBEQm8LJ6W5DJIgGRLwVZrX7UM/MrPCr5KS+rCwSZNPIy8drmUAob7Q7lNNhAx/SjDdOwfXxxILzRGYxerNUG6pmGFmKFhsdPndO6Dl1g/D9t33fGFt/HTN9k1KmubfstxunqOs1DRhmTjzHLJ2uBuvqEfGDPoHUwLXVox4s0DGB4RcSeMcEf7wEYXnH7ctyh6yKG64ACl9joUt69AlJn8LJ6RUDqsc65/j9wHMe5UPFv9ImJOo0DRffZ6FDKGu0O5TTYQMf0ow3TsH3MWXSw1aNemYaJY5WG5mVyf/l0uy2+Z7++0qhz656qNu9/a/0sY/LRe36udrSiwjH6MZiWIWjHizQMYHhd9MGXQj+LWNovYml86Gc39gwRMayi453JHgFFD3SS/A/T9iOVjHaHchpsoGP60YZp2D5GfbDRCDLxsiNMQ4uxSsNNuyoiTiorPX0+qX4HAg1a9+Hhty4ny87d9f7lhzZHLL1auL/9m9bt0I/BtAyRSKwnKh4AFGmXqMCrAEvVwAffzZzX6xscx3EilvLMfaA5IpbyjHKwNLuVez6LrA92A4q0CyjSNRHDGuCD74Ap4Kux+g0U6aS5fqBAImJYYvrZAxTpWhySxGc8Utd2HkKeaO16JlK7CLJ61Iq6HvXM/IqAyFYXIu+2do9rYMmPBUQuuXL9QvNrv0NFX+UReZtHpIqX1euCrO7J9JLuze/r7CU/4ZE6X89lol7hZbKcH+JvcfZxJvI/JshkU3Dp2TlB9n/8NCr6Vrzto92hnAYb6Jh+tGEatk11TX1Etu39R2uZhhZjlYZ1dQ0anLjK+L/KX3AgqX4fKz1r1OUeuUirq2to9d6TVWe0PsWyEUS9sWbaXe+noR+DaRki3jgP4JzeoUkC8MHObgwlEUvnAYabOI67R0/85/lDCxS4W1TgpSwl52dGWQrcK2JpafN7zQkBAfbwAEuNAENFVHIEoHhGiYp0A2A4P1bfRQynAUU6K2L4BMdxnOiDowGWGrpj6ScAgPuAIq0CinQyXm3atMzB7/9VJ8n/cCfJ//ATub7v8UhtciG/FPrMjGtA0d/xMnmfl9XridbbqXfBQ4JMiCCrWmsTkMzB5J8EpJ4UZFWLNgHhESkRkHrVhfyIzy3pysvqAh6pTZlekhkuY943eETKeZmUupDa0+Ulz/OyelhA5PxTg/APQvd1zi35bx6pNwREVriQvxvvJYN5pDbwMtnCcdw98bSRdodyGmygY/rRhmnYNhu/CP9V/c+vLm0RNDINE8dKDT9fET4u+cW8ZRH7dZL5bEgTV7V6X11dgzZu5VRj8tHXP0wrO1NrmR/sGbQOpqVOPDEex3EcwLAUKHCD+TPR58kGiqS5see3UX9H8fQHiqQB7OGNz/LAAwDDWyKGw+5Wn4jhoeDkxjA3zumr1wd/E4vvXXHfHwAFngFYagSfvvTdLj7Pd0QFXgIKvAkU6SzAUqOIPeNiKTMme2oQ/gEvq1f0065II4/UptC/WyPRRISCrLoEpB4TEDkfbQKSOfj9v3LJ/iE8UhuMe5pNQDLlkv8RZFVzeUmf8Kd59/JI3Ww+pcuF/KMERO5kDib/FPosw+P7Do/UBnO9vEyWC0g9mZGRd79RByKdBFnVor1VaY/R7lBOgw10TD/aMA3b5iPT6UrR9hUwDRPHSg0rz1zUwOhFxv/Z8s2nkuZ38apjre4Nirhvz4qIJSRrj+xwrH7pDtNSJ54Yj+M4LkvJ/rn5LQbHcZxYKPUCiqT1KIR/an5/V9z3B6ICLwMsFZg/B4XZj+pvUmCrK5BAgedHwT41yPx5p4LeD+knVoX3b7TXuuf3+SZQYG7oZ7cv+z9FDFcH38aMBwAkd883j/wv8jLJ5xH5TM/7oW7gZZLfAkQ+4ZH/jczBJf8Qb10ZXvLNYB1FAir6+2gTEMFbIuqb4MkEV65fiDYB4WUyXkDkTqfeBQ9F/C4igwRZ1Z7MLfqR3jaykUfq9uZ+CIgUC7JaxnEcl9En/0FBJjd55J/U7LZ7BFk9JyD103jaSrtDOQ020DH9aMM0bJvct9fe9ZQjpmHiWK3hu6ajcUe8vyFpfs+Yv9eo5wNld9R7Dp4+pfUsGmxMPt7dmO94/dIZpqVOPDFec8uc1+sbopKTKWJYJWL4RbTgXVTgHFGBl8GnL33X/LkbSzlAkTRR8XwEsFQJFHgHYOkIwDm9Q/cAH+zc2iRFxLAqnmVYjjIekXI+t6Rrssp/BBQ9wHv9Pw/9HG0C0mmA+sMnBvq/rftT8mS0CYiASDGPSHkL/3PVpwVZ1fhc9engfed5meQ3v09A6kQeqU0ZffIf5If4fyHIqsYj/4tR7tsmIHVbPG0NdWyGTlNTk9bU1ETdj1SF6cc0TDa3bt/Ras9fMbh56w7TMAlYreGNm7cj/t9u3LydFL8vNlw36vjy6s0W12/fvqOdv3pRC3x5Tgt8eU47d+WCdvt2y2fIafqlM0xLnXhiPLP1mOv5fvitH7wACqX/1+Kewn4/FhXpNvBJE5tfEzGcoS/Lgn53Yc6TAHt4EcMSoEia6IODOY7jxMKc51pbagUUeBhguDIe38Hcvv8qYjgSYOlDt8/zbz3mr5lcrgAAIABJREFUZf8D8MGn4ikrpexue0A47i4TEJmsjpYQsbPX/7tgmc9wHMfxsno7WvmCTEYLsqp1kvwPd871/6G1pVYCIit4RI7E07ZQx2YwGIxU4PqNcCB77tI16v4w2s8F0+Sg4cqNpNRxvv5axCSn+fUvb14xJh+BL89pN+/coq4Lg9Ee4onxzNY9v883gS/7cf2EKrhZVKQbPQo9/2e+R1Skt4ECbzZ/+8FxwUmAkpPJNdtzDLC0BiiwXt8j4ukJFEkDhdmPtvh9fQKyLFa/gQ++BhR4J5QJHfiyHwdYygpmQlcy8jLub7sUC61T74KHBK+/F4/IUMFLRjTHhfzDraor3gkIj9S1PCJ7m99vTEBk4tbLJ428l0xtWa8+AXlioP/brtySP+l++Lu1uA+RFbxMDsbTNtozeqcR6ui0/UhVmH5Mw2Qzo2S/scTmw+J9TMMkkQwNt+6PTB755ZWWbygS5bmXlxh1VAUuR1w7frZMe/bzAcbSq8J9akrpl64wLXXiifFasy4zPV8TMawBirTK/DnAUiXA0B9LWaLP4wWKpIG5ff/VXQhdQJE04Mt+vMV9+hIsJaayC6VeogKbRAx9bp+nu6jAJuDLfrzHvOx/AIpUDLDUKPo89iUed6Hi3wiIXAptSI+GIJNGq+pLYALiD+3hiPg8tAQLlTzJcRzHy+rFaHs4BKROFGRVy8jIu79zbvF/6oOq/4Uo922Ld9M97TWNTiPU0Wn7kaow/ZiGySbnjXCSuRWtbGZmGiZOMjQMBBq0F/OWG/9/yvIjlpZfXnnBKLvr0AVaTW34tK0ztee1QQvHGpMPeckErSZwMaX0S1eYljrxxHidCno/BLCnp9uX80jza/qbC+lY6Ocecz2/Di6xEqOVBXBOb7cPdmn+uYg9Y4AiaeCTft8CBdn/GFyCJUX87nTw9eCJVWNj8V/E8AsRw3Ucx3FZc174dmgCYrq+QsTS/ljKTMh4pK7iZfU6j9QxmYh0ykT+x6JhVX3xT0D8b/CI3PodKopIvsJ7yWBBVrWnvSXf5ziO42WyJdoEgkekhJfJcY7T84kIiNzhZfX1ZrfdIyBynkdkZjxto92hnAYb6Jh+tGEats7xU+eMALPLUFU7XRk9gGQaJk6yNPxsYTiDvecvqyzLu3H27GVtx/4zRtl9XlsecW3a5gJj8tGzaJC2v/xkSuqXjjAtdeKJ8TLfz/wrgOEVEUPV/HlXX/b3gALrRUXCoc9EHxwMFEnLKugdNaE3UOBmoEi1YDr4euizjLyM+4ECDwAFGqt9RAyPAiyt50xLteI9hhco0jU39gzhuFYmID4JAkX6MpYyEzI9UV+LQDxpFu8EJNNb8vvgMby9w58ax/Aa/1m81/8yj8gtHpX8NPRZhsf3HUFWL5uXZvFIXSXI6tFHPTO/YtQRPIY32tKs9hjtDuU02EDH9KMN07B11LXHjQBzyNutZ6xmGiZOsjQ8dfq81n14OInkhi8qLCt78YaTUU/a2nB0V8SRu5/vXpqy+qUjTEudeGI8juM4EcORwZOpZgEf7Oz2eV4EinRMxNJ5MLffP4fvk2aLWKprrRzgy34cKPAOUOBmgKUsgKEoYmkjUOBN83G+bl+O29is7oNdRAxHBhMRxrT8iuM4DiiwHihQ5rjoExCgSC+LCrwUa7lxm4DIJR4Rj231xTkB4TiOExBZysvqdRfyD89EahceEVWQSWPoBCyO4zi+f+HfCrJazcvktCD7X+CR/zkBqYd4RM6aExHyQ9T/5WX1No/UtZle0t3l9Q/kZVIvyGQTxxIRWgIb6Jh+tGEats5fPt1uBJgfFe9lGiaRZGo4MT/8/zhu5hbLyv1UPWCU+3bBTu3s2ctaeXVAy/aPMCYfr6x4WwvUJS8Roh36pRtMS514YryQ6dnQ4W5RgVdFLJ0XFQm7C/v+NOIeBS4xL8mKWo4v57HgpvMLAMMrAEtresyTft/8PrdPeib4ZuRm8MjftzLy+zwYq98ihiuCb1fuaT4B6Tq7718DDMtFDFfEWm7cJsiE8Ei17SzhRCYgGQOKvs4j8oEgkzoBkWu8THZlIrXFGrqnUdE/65MT9TIvk3oekSWZg4v+vfl9rlz/UzwiO3ik3uBltZZHZGaGl3wz3rbR7lBOgw10TD/aMA2jU1fXoPUet8wIMDfe5S/nTMPESaaG5qVSXYcu0I6VnrWk3Dc/22GUO2fhQe3s2cvapLUzjMnHC8VIO15ZmfL6pRtMS51447xUNhFn/1FUpNsAw02iz+PV95HAYUDx9A9meL/jLsx50jaHnkZF/8zLaq1LJm8Ksv+XrgFFf9dJ8j/cHNscSmGj3aGcBhvomH60YRpGZ//RWiO47DFioVZd0/pfsZmGiZNsDYeYkkl+VLzPkjKHvbveKHPpxlJt6YENEUuvlhxIXgJEu/VLJ5iWOrTjRVoGMHwWKPCCqMCm0FG8ogKbgCJ9CTDsZ6szwczfVwWZNLYKIndsdSpFjXaHchpsoGP60YZpGB287IgRXI78YCPTMMkkW0Pzfp6eryy564SyvbyQF35DtnbPUe2FYmRMPiatnWHphnfa+qUTTEsd2vEiTdNP85KygOIZrickhM92z+8T9+qfuI1H5DNeJvltYbtjKWi0O5TTYAMd0482TMPojJ2xOby8ZtFBpmGSSbaG1TWXtOdfCefsWLDuRILl1WtdgmUJMtHGLHvLmHxk+0do5dWBDqVfOsG01KEdLzJjZqnR7lBOgw10TD/aMA1bUhuo///svXlwFFea6Ju+Pb3c7p7ujp6J1zH97syL19Mzd/r2vIm4457umTs9PUwvtqVMbIMqjQ3GxiyVxSplsogdDJh934xZjBFIWRJSZWpHG0gghARa0ILQvktVBUILZhfwvT9KlVWpjVIpq06W9H0RvzBWZVWe/CnPqe8ozwLsqiQlWb1R1o4OfYw/HH5+vkT5nYbuGX5VM09wH6I3be8h1dCr7Ns3xqW/iQK6dEA6X/R3sGfn/NwQZQwzmLkzrJlLZkUuiRW506zZtOgd8ZO/Jly6mG8Eh8b+JpiX3vtDaNRP/n32qT8fy4TsiRikK5TewIYO/ZEGHQ4m/6Zr0vK01Ulge8VQGnQ4dvzh8HbtHZi8VPa4YzkSGXkNjv1hVp8DVlyodD4O50aMW38TBXTpgHS+6K94I2Lm9wwid9ZgNvU5530MxtRnELnjk78wftfvBaRD5Tcdy9Y65nwEhVl+HxQmBTG89DXNywv8XqAADdIVSm9gQ4f+SIMOB+O+vOrG43no0A/4y+H6Y1eV3+32rwq8/pyolFvALLVAyCnXkruLEtZBm7VzXPubCKBLB6TzRX8Eu5H9lkHkbjgmm3NXDFHGuWyk6dfvmo1/GxJl/AeDOPc/DFHGMNZsKjSYuZcG0XT19S+M33z1J2sUDC/9mhGkpzQv1TC8vNPZAaGXSK8zgtzg2Gcj7m2/FSiAg3SF0hvY0KE/0qDDwbivbhSTdhsd+gF/Ocy+3qT8bqesSICG5ntefc7+qEJ4d49r3se06AVwo+7WuPc3EUCXDkjni/4IQ5RphcHMvTREcatedSxrNi7vXw1rkT/KRlGUY3M/hpdr35gZ8b1Jxqi/pHn5ZVCY5fcURVF/NMb8kOalSlqQc/xWoAAO0hVKb2BDh/5Igw7VtLZ3w7vL45UktaL61ZOJ0eHY8ZdDu70X5n2W7vECA8MhfGEBg+ia9/FVQdyE8DcRQJcOSOeL/gjWzBUZRC7T0+MNIpfJitwVX5ZJFY6N+uTVFEVRf1ho+Qv3DghFUVQwb+EZXur0W4ECOEhXKL2BDR36Iw06VHOpwPUX8lmfXvBoKVV0OHb86dB9ieVZn14Am210y+W2dNyFaRFLXUOvpE1gtXVPGH/jHXTpgHS+6I9gRVOvQeSWeXy82bicNXP3fFkmVTC89IgOk+ZT1NAdEIaXQhlefui3AgVwkK5QegMbOvRHGnSo5kh0sZKc7vBwjgA6HDv+dNjc2gUhKxOV33N6XsOo3r//8mml82GIXAB5t149TG88+RvvoEsHpPNFfwRr5p6HRBk/9vT4kCjjxwazqc+XZVIFLUiFjCBJFDV0B4Tmpcu0IBX6rUABHKQrlN7Ahg79kQYdqlm4M0tJTBOza9Ghn/C3w73nbii/55WHR95o0p2LlQWqJXdDdh7y64aDevE3nkGXDkjni/4Ix+Rz43SPj480zWBF0wtflkkVdJhlNs3LLxle3vZWaNy/0Lz8MjjU8ic6zPILmpeiGUF6EcxbTH4rUAAH6QqlN7ChQ3+kQYcuGprvuW0uJ0Ndo2crGqHDseNvhyWVrn08GEGG8qpXz/VpaLPCbMsypfMx9dhaMG5NJ+6OhL/xDLp0QDpf9EfovgNCURRF89IhmpdfMoL0wvlf57+Dw+Qzfi1MAAfpCqU3sKFDf6RBhy5SLtcpCalpWyY69CMkHC4/kKP8vg+KRSMea7f3wmdZh11Dr84tBibcDGuP5hJ3R8rfeAVdOiCdL/oj+pfW3TQ1kvudJ7BRxi1+74BQFEUFhcX9O8PLB2heSqZ5OZXh5c9pPu6Pfi9IAAfpCqU3sKFDf6RBhy52n73hcUKKDrWFhMPUK64OJ7sqCVrbBk8kb7V2QlZlPuzJPqkaevX25mOjvk/Gm7/xCrp0QDpf9Ec4noCYXniK83jS5cbwIkhXKL2BDR36Iw06dDF7c5qSkGZe83xiMjocOyQcWm09MHNDqmvPl/TbYLf3QnljHZiLkmF9+l74IGaRquPBmk0w7+xO5T1iaiVxd6T8jVfQpQPS+aI/wiAaN3iD3wv6p0XiT4P52F8xvPTrofB7gQIwSFcovYENHfojDTp0UFlrV5LKd5bFQ0tbFzr0I6QcnpLLgFkWB29/ehw+PL4LTPLqQR0Od/ikTbBwt6vTkpXfSNwdSX/jEXTpgHS+iEFR1Jt8zM8ZQS52zvsYDtLlDIQgXaH0BjZ06I806NBBXEaVklQKey+hQz/jT4fuTzlWp+4GQ9SCETsdJnk1HLpyBrIq86Hd1gXvr0lW7pUyDyavjzd/4x106YB0vohBURTNy6m0IPfRvCwyvLQ5OEzaMBSkyxkIQbpC6Q1s6NAfadChg80nrylJ5QlLKTr0M7522GbthIuVBXDoSgTMf8VTjg+iF8K6tD1gLkyC8sY61TK7TS1dyn0yeakMHdYe4u784W8igS4dkM4XMSjHTujBgrSDdDnGQ5CuUHoDGzr0Rxp06PiL+PS1rr9qXy1uQYd+RmuHdnsvlDfVQ3RRyrBzOVT7eZzhYcqBrfDu5hNQXtM+7OfeKGtX7pOPN14g7s1X/iYy6NIB6XwRg6IoRpDsuM+HNkG6QukNbOjQH2nQ4X0oruhQksqQlYmj/qs2Ohw7Wjj09ilHaUMtLNiZqdwDx+NuDnuOZLelmpcfyCHuTUt/CLp0h3S+iEE59gBheCmLdDnGQ5CuUHoDGzr0Rxp0eB/OJVUoSeXqI1fQIQG8cTjapxwmeRUc7J/L0WpVbzIZl+maAzRjXcqwndDT8WXKcTvPXCfubSz+EHQ5EqTzRQyKoiYtiPk+zcu5NC/nMrwUGhQqTwvmpfcGQrqcgRCkK5TewIYO/ZEGHd6H1UeuKEnlueRb6JAAnjp0PuU4nDu6pxxlA+ZyDPrc9m6YtjpJuQ+ScmqHPG7nmQLlmNPxZcS9jdYfgi49hXS+iEFR1Fuhlt8yvNRJ8/JL913Q3XdDx1WwPAvSFUpv6LWha+m4A5E3EiCpLBvarfeIlyfQ/AUSE91hh7UHQsITlaSy+FYHOiTASA4r3J5yTB/FU46WjrujKsOR6OJXroTmvnt68uU64t488YegS28gnS9iUBRF81IBw8sPaV7aTfPSHJq3fDwUpMsZCEG6QukNPTZ0NnsPrL6wU/lC/yRuKXyZHwt1bcNPzER/gctEd5hb1KIklNPXpYz4V3J06DvcHaqecsSv8egph1iYBGWNtV79/pzcqrHD5P57gRFkKKoY3Bn9eOMF5fUbZfppE/EeRJdaQzpfxKAoiuGlR3SYtI50OcZDkK5QekOPDZ18M2vYL/o92SehpKGaeBn17C/QmOgOT1hKlYRyy8lr6JAQbT1WSLqdCRvS973yKQc3hqccr2Lt0VzlftgVoZ7j0WHtgclLXR2UphbPN6v0NXgPokutIZ0vYlAURfNSK83LC0iXYzwE6QqlN/TW0NW3dcCsWEH5on8/euGQCcCatN2QVZkPNjvZNfD15i8QmegO+b2XlIQyLrMKHfqZNmsn7Lh0zG9POV7FxfxG5X6YGp4AjS2uIahlVTbltffXJBN35w7eg+hSa0jnixgURdG85TOal25OmnX6O6TLEuhBukLpDb01dLuzTyhf+nMty6G+rQPkm1kQmrhxyMRgYcJaiC2+MGhFmYnqLxCZyA5b2rrgnWXxSlJ5u/YOOvQjNa2tsDR5y7BPOQ5c+conTzlGwmbvhTmb01yLEiRVKK9lXnN1Thbvukjcnzt4D6JLrSGdL2JQFEWHWaYyvNxMC1ITzUuH6DDLGiZMWuFOMG9ZTrqcgRCkK5Te0FNDl1tdokoAUstdy5Ha7b1wuaoINmbsHzJZ+DiWh+N5ZqhuGd0GbuPJX6AykR1mXmtQEso5m9PQoR8prK+EeVK4qh1Zl7nbL085XsW55FvKfTF7cxrY+ssiplYqP990Io+4Q3fwHkSXWkM6X8SgKMq5+tVI4CpYngXpCqU39NLQtdu6YFHCOiUR2JC+b9gEoKyxDg5c+Qqmxywe1BGZFr0Adlw6BjfqRr+UaSD7C2QmssODYpGSUO4+ewMd+on0iqsww639eM88H+RbadDX95x42e7cuQ9NLfdganiCcm9k5TcOul+OxZYQL6c7eA+iS60hnS9iUBQVxFv+0xNIlzMQgnSF0ht6aejOFFiUZGB6zGKobG565Xsa2q1w7no8zLWsGPKpSHjqdkiruOrTeSJ68RfITGSHpm0ZSkKZMoYlVSeyw9Fgt/fC2euyqp2YcX4JZN66pjuHuyOuK/fGmv7NKd0nqHs7X8hX6M1fIIMuHZDOFzEwNA3SFUpv6KGhq2iqV+0gfO56/Kje32HrgqSybFiavHnYdfnNhUnQ3OHd+Hq9+wt0JqrD2sZOJZmcLMjQ0Oz9fjcT1eFoaLd1qeaYsWYTGKWVUFxfpUuHxRUdqvvjVo0duK2uDuuVwmbiZXRHb/4CGXTpgHS+iOEWf1ok/jSYj/0Vw0u/HgrS5QuEIF2h9Abphs5u74V1aXuUhGBJ4gaw2rq9/qy8mlLYknUY3jPPH9QRmXk+FI5ePefR05VA8TcemKgOE7JrlGRy4c4sdOhD6ts6IDx1u6o9WJ6yFWpbXfto6NGhsC9buUcOm4th6grXsKzqev9NjPcEPfoLVNClA9L5IgZFUW/yMT9nBLl44A7oAyFdzkAI0hVKb5Bu6JLKslVJwbWaMk0+t7K5EY7mnoMPzy8Z1BF5zzwfPss6DHk1pWOeaEra33hgojrc/lWBkkweiSlGhz7iZkMNmORVqjZgx6Vj0GZVP3HSo8OknFrVkrzOf09ZkaBMTNcLevQXqKBLB6TzRQyKomheTqUFuY/mZZHhpc3BYdKGoSBdzkAI0hVKb5Bs6JrabTA7bpmSFOzL+VLzczR32EEsTAJuQALiZGnyFkguy/H6qQt+UYydiejQbu+FjzemKgnlpetjeyo3ER16wqXb12Hm+VBVnf+qIG7IPzzo0WGHtQdmrE9R7hMn8z5LJ162QPAXqKBLB6TzRQyKomhB6gkWpB2kyzEegnSF0hskG7r9l08rScEncUuhsd2mvJZ+tQGmr0uBNUeuQHuHd50Dd6y2brhQkQvhqduG7IjMk8Lh3PV4VRn07m+8MBEdlle7NpR7d3kCtLWP7R6fiA5Hwm7vheiiFNVQzOkxiyC1/HLAOTxpKR3UAXFOStcTevUXiKBLB6TzRQyKohhBsgfzFhPpcoyHIF2h9Aaphi6/tkzVAUgsvaS8VtvYCeyqJOXLVkyt1PTc1+sqYPvFz2Fa9IJBHZEZMYvh4JUzUN5Ur2t/44mJ6DA67bZyfy8/kIMONcRq64YDbn/cYM0mmGNZDtfrKkZ8n14d1jTcVW1WyQgy7I8qJF6uQPEXiKBLB6TzRQyKomheOsTwUhbpcoyHIF2h9AaJhs5q61btbL4mbbdqSMS20/mqL9tZn14Am0378c7VLS1wPM8MH8XyQz4V+TRjP1yuKhpxngh+UYydiehw4xdXlfv7dHwZOtSIpnYbrE3brarHfNImjzYo1bPDTSfyVG1iVIp/9jkaDXr2F2igSwek80UMiqImLYj5Ps3LuTQv5zK8FBoUKk8L5qX3BkK6nIEQpCuU3iDR0EXeSFCSgw+iF0J5o2v/g7yS1kHDDca6R8KraOm4C+eLL8CC+DVDdkTCkj6F+JtZ0G7r0oW/8cZEc2iz9cK01a4nfPk329ChBlQ01cPChLWqurs58xC0dHi2WpSeHeYWtajaw8xrDcTLFEj+Ag106YB0vohBUdRboZbfMrzU6b7ruTu4E7rnQbpC6Q1/N3S3m5tUO5ifLohTXrPZemHBjky3sfGuYQeLd10c84pVr8Jm74GsynxYc2HXkB2R2XHL4HRBHNS3dRDzNx7Ru0OrrVvTe+96WZtyX7OrkjR5uqd3h77mSlUxfDzgSebxPPOoNiHVs0O7vRcW7cwCRpDhnWXxUNOgryV49e4v0ECXDkjnixgURdG8VMDw8kOal3bTvDSH5i0fDwXpcgZCkK5QesOfDZ3d3gufZuxXEoSFCWtVTxXMFyqVxOydZfFwqaAJ3l7q6oTkFr16GIVWFNVXwe7sE/B+9MJBHZEPYhbB3pxTcLOhBr8oNECvDu32XjicG6HMIdiceQjOXpcht7oYWsawqeWZhHLlnl5/7Oq4dugPLCXpqvlc70cvhPjSi+POYWWtHQ5HF0PmtUbiZQlEf4EEunRAOl/EoCiK4aVHdJi0jnQ5xkOQrlB6w58NXVrFVVUin1vt2vugrqkT3nObeO7cF2HLyWvKz9Z9nut3P7Wt7fBl/nn4JG7pkE9FNl3cDzfb9TceO5DQ65ft6YK4IX/nzr1kQhM3wr6cUyCVZEBJQ7XHf20PP5ij+QILenXoS2z2Hvj8aqTq9zIrToC8mlJ0SAD0hy61hnS+iEFRFM1LrTQvLyBdjvEQpCuU3vBXQ9fccQfmWlYoicKu7OOq1903ZZu5IRVa2hxPRm6UtSs/nyzIUHrbSsRTm/UeSDczYHHihiET0qNXz3m9l8hER49ftgM3yPSED88vgdUXdsLxPDNk3MqD2tbBczvaO7phittu1lrdz3p06EuaO+6onqayZhMsTlgPlc3ePx2YaA61Bv2hS60ZS65nMBtZ1mwqNJi5h6xoamejuP1B52b8QHldnPsfw7Xl7p/DRhj/xiBy0azI3WVF7gErcukhUXP/adD5xLn/YRBNl1mz6WuDaOo0iKZTU8589BdjuQZdBM1bPqN56eakWae/Q7osgR6kK5Te8FdDdzj3rFK5P47lVfMorg2YeJ6UU6t67/IDrr8Y74q4TtSX3d4LObcLYUP6vkGN1srU7UMmncjI6O3LNq+mFD5wG3oXnroNCmrLIaY4FXZe+mLYxQqGwiithK1ZRyCqMBHyakohs6BO1dHWam6J3hz6ktvNTapV9FizCdan74XmDjs6JAj6Q5da422ex4rzZrJmExhE01dsFPdWiMiZDKKpkxW5KxRFvUZRFMWauVDWzD03iKZJbJTxt+4on3OE/b5BNNWzZq7BEGmaYYic9z5rNpWzoqlr6rm5/8N53NSzxn9mRe4xazZlGMzcOyGicaHBzHUbRC6f2kj9tzElraSDDrNMZXi5mRakJpqXDtFhljVMmLTCnWDespx0OQMhSFcoveGPhu5G3S3VhmDSzQzlNZutFxbuyFLtiTAwKcu81qjatK2usZO4tzt37kNpYy18elHdEZljWQ5Xq28SL1sgoacv21tNjTArTlB+n/Pl1arOspOGditcun0dTufHwvr0vYMmQI80dCvk1AqYcuAzWHbmHJQ11o1qonQgOPQl+bVlg4ZDHs6N0OTp40Rx6CvQH7rUGm/zPFbk6lgzl+P+M0OUcS5rNkGIaPwNRVGUwcydMYhcxUifYxC5ZaxoejHFPO/vlc8+OefH/Z2Lw27nS2LNXMPrXxi/qfwsau7vWbMJWJEzeHsdugjn6lcjgatgeRakK5Te8HVDZ7V1g5C82e2vydtVCZf7hmzvLIuHm5WDh6TY7b3Abc1Qjjsep58E/1lfH0TelFUJ0bToBRBVmOjzVbvGC3r5sm1qt8GihHXK7/GjWB7KGj1b/tlu74XypnpILL0Eh66cgaXJm4fc6HIoPooNg3Vpe+DL/PNwsbIAGtpGPyxLLw59SVJZturJ1LToBRBbfGHc3YeBCvpDl1rjbZ43xTz3F+6dBoqiKEOkaQZrNsHUSO53FEVRrNlUbhC5syN9DmvmLrJmU+Ggn4ucmRVNLRRFUexG9lusyD02mE27hzjOxoqmCG+vQxcRxFv+0xNIlzMQgnSF0hu+buiii1JUCcPNhhrltfqmTtV+CIeji4f9HEtmtXLc+2uSobVdH/MtnP6yKvPho9gwVWK5NevImFZLmijo4cu2w9alWn55WvQCuFI1/P3oCW3We5BfWwZiYRJsu3gUjNJKj4duzZdXw45LxyC6KAUKaiuG3INGbw59hc3eAyevxQzqtOVUabsb+Hh26A/QH7rUGi1yvqBzM35gMM8LMohcq0HkbrAs+41Jp2d9x2A29bEil8qKXIHBbHrCitxdg8h97j5PhBU521CdFIPIbWbNJngjYub3QqKM/9D/pGPOwONYkbtiELkbWlwHxjgIZ8VGHLx8+RJevnzpk89+2tcH9q/vgq2f3sdfq17vvv8YrJ0PwNr5AOwY7mQqAAAgAElEQVT3HkJf3/NhP6uv7wXY7z1Ujv/64VPi7gb6e/rsGXQ+7FKu1/b1Xbj74B48ffaMeDn1jC/vQU/pftSr+r09ePJI83M8fPwMrJ1fg7WrF+y9PXDvYbeqfoyE/eu70PmwC3oe34eHTx8Nuqf04NAX9PU9h65HPX6pU+PVob9Af+hSa8aa7009a/wr1x8uuHtspOnXFEVRIaLxN45Og6klJIr7kI2a958G0bi6f5J5waSNk/6MoijKYDY9cR9q5QzWbFzOmk3wtjj7p1PPzf3X4YZasWYu2SByNWO9Dl0EEyZNonnpCMNLKYwgSQwvHwgOjfsd6XIFUpCuUHrDlw2de+Jw98E9VQfj8ZM+pTNh7XwADx69OqG4/+CpcvydrofQ16c/f319zwcls/av78LDp4+Jl1WvkP6yvf/4ger3NbCjrBU9958o92/P108c98vzF/Dk2TN48OQR9Dy6P6gDOxJ3HnRC18MeuP/4ATzpewovXpD/XWrJs76+QT7uPeyGZ3194/I+DHTQH7rUmrHme++envUjNmru7w1m7h3WzOUazKYnUyON//Xu6Vk/MpjnBU09a/wr9+MNkdxHrNkEIVGm9yiKoliRe8aKxkMDP1fpgETN/YlBnPd/HO+ZFzL4OC7ZIHK3x3odxIPh5c/ddz13n/tB8/Jx0uULlCD9SFFvOCu61p+bVZmvGjJx6fYN5TWbzbWrLyPIsGx/tkfzJRpb7kFIeKLyvtQrno3P97c/u70X4krSVOPVcale/9+DnnChInfQsDktJoUPxbzP0pV7N+1q/bDHtXTchdzqEjh3Ix62ZB1WLV89EtOiF8DylK1w4lo05FQVQptVH4s1eENhXeWg696bcwo6XjEULVDvw/EA+kOXWqNl7jf5C+N3DSLXwZpNGcMd8+7pWT9izSZgo0zbKIqiWLPpzlBzOJxDsCadnvUd9hz3vxyT2+fNHnhc/xCsfC2vw+8RHCbPpXn5JS3I8UGLY//3pFmnv/NvfMx/D+Zjf0ULcjwjSC+Cw6RZpMsZCEG6QukNXzR0rdZO1Xj3bRePql6PSVdPPC+5NXiVoeHYH1WovDd0z+h3O/anv+t1FYPG/eNSvaNz6EsKaitgeswi5XezLOUzaLPe88m5quvvKvft20vjoalldIl0dUsLXKjIhWN5UbAydQdMj1n8yg7J+9ELYWXqDvgyPxauVpe8ch6JXkiruKq6vvfM8/2yqAMmfehPL6BLB97keG9EzPweKxqnh0TN++XA11jRlMWaTVVspOnXIaJxCbuR/Zb762+Ls3/aP1xLoCiKYs1czlAdCIPIRRtEUz1FKZPQnxlEbvvg83E2g2g65c116CYYXipiBOnKMC+/xgjSFZqXA7uX5acgXaH0hi8aumN5UUryMPN8mCrhbmi+p5p4flAsGtVnV9bY4e2l8cr784pbde2voc0K69L2qBLD2ZZluFTvKBz6gtvNTTA7bplqv47a1nafnU/Kqta042y1dUNRfRXElaTBnuyTsCRp/Ss7JNNjFsHatN0QcV2C/Npy3T2Ns9t7IeK6pCrzjPNLIPPWtXF7H44n0B+61Bpvcrygg0HfZkXugUHkZPefvx019yesmesxmE2isiTvgGFTBpELN5i5lyHinP/t/H/WzD0PieT+znmMcxle96FZrMilGkSuxr1D41yGd6ihWQEVDC89ChYsS4Z7PViwLGEE+b4/yxSoQbpC6Q2tG7ri+irV8qPnByyTuTviupKIzVifAs2to/+r7KYTecpnrD92Vff+bPYeODVgFR9cqnd0DrWkucMOS9x2tJ95PlS1Opsv+OxUvnLPHovVvvP5/PkLuPP1PUgqy4Z9OafAJK9+ZYfkw/NLYEPGPoi8kQCFdZU+G3rmCe3We7Dz0nFV+YzSSiiurxq39+F4A/2hS63xNs9zdBxMYBC542wU91ZIlPFj1myqMoimTvbsnJ+/ETHze2z/hoIhonEJG8W9ZRC5XQazqc9gNh5zfg77hfGHBpFrdUxWN37Mitw01syVsSJ3130jwhDR+BvHqlqmbFY0TTFEcQscnRQuL/A3IhSkHkaQVg37Oi+vpnm5159lCtQgXaH0hpYNnc3eAytStrqGtCR/pkpqCkrbYLLbjucJl7xL+gpK25TPmCzIUF5lCwh/uFSv7+/BV2G1dcP69L2qjmC22/wkX2C398KM9SnKPXulsNkvDm83N0H8zSzYlX0c5knhHuxHwsPmzEMQXZQCJQ3VfuuQ1Ld1QHjqNlVZlqds9ekTKdL34XgE/aFLrRlLrufYDZ0rMpi5hwbR1Gkwm8SQyNk/c74+JWLm/8WKpqMG0dTEmrmnrMhVs2bj8oEdhpDI2T9jzZxkMHP3WTPXw4pc6pSIOf846HxRc39vELn8/iV9bQaz6QR7cs6Px3INugiGl9JoXqr/99mn/nzga380xvyQEeQGmpeHnViD4QrSFUpvaNnQxZWkqcZtF9XfVl6z2Xth8a6LShK2dJ9nE8+HY9n+bOWz9pz1bQKppb9bTY0QlvSpKtlalLAOShtrid8LgeLQW+z2Xjhw+bTKfWxxms/Pe7PSqtyrU8MToL1D+8T+VQ7t9l6oaKqHuJJ02H7x80G7iQ/FJ3FLYevFoxBbnAbljXU+eVpX0lANnLxKdd4dl475bC6OHu7D8Qr6Q5daQzpfxKAcGxE6VruSGhleCg3ipTeCeOkNWpDCaEFqYnjp+VtLpD+QLmcgBOkKpTe0auhqW9tVf93//Gqk6vXYjCrVJNziUUw8H4qMvAbl86asSIC6JjIr/njjr83aCbuzTwwa655afpn4/RAoDr1BLExSOR94j/qKqJRbyr268pBvfsejdWi398LNhhqIKUqFLVmH4eNY/pUdkrmW5bDz0hcg38yEyuamMZf5YmUBfHh+ieocXxXEERuWiEkf+tML6NIB6XwRoz+YMMsMhpe6nUvvupbkle/jClieB+kKpTe0auh2XDqmGrvd0nFXea2h+R68vyZZScIORI1u4vlQ2Oy9qmVNT1hKA8qfY6nedFyqdwwOR0PGrWvwnnm+4nlT5kG/DTFaezRXuU8jEit06dBm74Gi+tsQVZgIn2bsH9QxGApOXgV7ck5CYuklqG5p8fhcdnsvmAuTVL+P6TGLILX8yri/D8cz6A9dag3pfBHDLYIWn/tBsCCFBPOW5bQgh9OChf2jMeaHpMsVSEG6QukNLRq6nNuFqsQkY8CqNXvO3nBNPF+XMuolSIfD/anK+2uSoa3d/4n7WP0NtVRveOp2qGklu7pXIDl8FYV1lTDDbVlXIWmTqoPsS6y2HmBXufauKSz3zbwGrR1abd1QUFsOZ6/LsC5tj0fL/i6MXwsHLp+G1PLLUN829BNOq60b9l/+UvW+OZblcL3ONx0zPd2H4x30hy61hnS+iDF8vOaLD33d+MU3GV7KC+al/QNfo3lpDi3It2hBfkzzUmMwL62l2JhvuB8zadbp7zC8vJMRpJb+40qCBWnQMmR/DI35G5qXohlBvksL8gNakNLfCo39p8HnlP+D5qXLDC99zfBSJy1Ip/6w0PIX3l4f6QqlN8ba0LVZ78H8+DVKMrE585Dq9Rtl7aqJ5/EXtVttqL2jG6avc03ujUm7rdln+8vfnTsjLdVbQvz+CBSHw1Hd0gJzLcsVr/OkcL927q6VtKo6yTYfDS/ydcLSbuuCvJpSOF0QB6su7Bj05G4oliRugMO5ZyH9Vh40ttugsd0Gay7sUh3DJ20a1dOTQL0PJwLoD11qjbd5HoYGwfDSrxleGrQLI0VRFM1LR2heukTz8n9odb43ZkZ8jxEkiRFkGNgBocOk+f1fpIcZQQ6mect2x+aIll0DyhXN8NKj4DCLEMTLkxlBkmhefhkcamGcx0xaEPN9mpfqGUFuYMIsM2je8j4tSOW0IHcFLY5TljZ7Myzunx2dGDkjmLe8ExxmWdg/DC2fojZ6tbQZ6QqlN8ba0J3KP6+ax+CeTNjsvRC62zXxXNh7SfPx3V/KZcrnz9mc5rMEz1f+XK56VC6dKzRNhKV6ffVl29JxRzXhf8b5JVDkx2Vd79y5D6ekUuX+/PR4XsA5HI42aydcriqCk9diYEXKNtXS20Pxnnn+oBXgtmQe8tuTKD06HG+gP3SpNd7keBgaRDBv+USZ6xFm+cXA12lBSqd5+SXDS8+DwywLx3o+RpCDGV6uYnipc2AHxPFUQ+qkBfncgDJsogW5782wuL9ylDn2V4wgQ3CYPNftsNcYXspmeLlCeV+YvIwRpBfBCy1/7/zZm3zMjxle6mYE+bByHC8nMYLc8Lrxi286fxYUZvk9I8jAhMUZvLlO0hVKb4yloStrrIX33f4SKhYmqV6Py1RPPC+qGNvE86FoaL4HU8MTlPOk5dYHjL+h0Hqp3kDovPjiy9Zq64ZPM/arEuCsyny/X5v7am3n0333hI50wtLScQcu3b4Ox/KiQEjerJrfMRTH88xE9x3Ro8NAB/2hS63xJsfDGGO8FWb5N0aQXtCCfGuk1a2CQ+N+xwhyQ38n4J+9Pd+kMOlHjqcZcgzDx/zfAzsg/ecB96cYFEVRbyyK/QdGkIEOs8ymKIqiect6mpdfBi0+9wNVOXmLiRFkoPm4nzmOky/SglQ4sByMIJkZQWqhKIr6JRvzrf4hXLsHHcfLtuGeDL0qSFcovTGWSdSrLuxQDaVwnzzd2KKeeL4/stBn17AvslA5T9jeSwHhbyS0WqpXTK2EqSsSYOWhy1Bdr5+/NPvD4ZHcsyp/0UUpfr+u1rZueHd5vHJvVtTYA8rhWGhqt0HGrTw4knsWQhM3Kr+H96MXQnzp2HeCnwgOAw30hy61xpscD2OMQfPyeYaXbZPCpB+96tg/LRJ/SvNyLy1IUd6e75dszLfcn7IM6oD0dyCCFkt/6/6+141ffNN9GBYjSGaal1oHfv5bS6Q/ODoqcTRFOToQNC+dHXgcw0ubGUGGN2ZGfE/p3PDSnEHHCdIVmpdveHOtpCuU3vC2oYu/maX66/LASaR7z7kmnk9fmwxNLb5b17+ixg6Tl7rmmeSV+G+Mv6++KMa6VG/JrQ54Z5kr+Z2+LgUu39B+Azw9OowpTlV5O3QlgsiToIv5jYr/WZ9eCCiHWlPf1gEXKwugoqmBeFkC1aHeQX/oUmu8yfEwxhi0IFtp3vKZ58dLBxlBbtfq/EN0QFYyggyTjFF/OehYXn5I8/Lx/nJccB9q5Yy3QuP+xfGZ8nSKoiial5+4D7VyO89yRpDhT4vEnwYJcf863FArmpeSaV6q8ebanBUbcfDy5Ut4+fLlqN7T9bAXPrG4NjI7cSNK9XpNSxe87dYhyCho8vl1bP2qQDnfZ6cLdO3PU/r6nsOFmmz4IGaRKqE+VRgNT549G/F94YcuKz5cw+BkiMmshr6+58TvO185vNFaqhr+81n2QXg6gitfcjK+3LX0tLk4YBxOVNAh+tML6NKBNzkexhiDEaSnQ/3lf7igeclI8/IT7c6v7oDQvLyaEWQYavUphpcfMrz8OUX1z0sRpPKBxzg7IEGh8rT+8j6jeenQwOOcHZA/hEb9hF4i/x9GkGGoFbRoXkpmBPm2N9dGukLpDW8ausPXvnKtKiSHw/3HD5TXnj17DssO5CiJ1/KDOX5JeCsbOpVzTl4qQ6v9vs/P6a2/0VJ9pwFM8erdotdm7IQ7X98b8vj0/CaVi/dWJ6k6IptP5UPv10+I33taO6zvbIaZsaGu5XZTN6nuTX+zxG0BhuzCloBwOJFBh+hPL6BLB97keBhjDIaXm2leXu3x8WHSCpqX2zQ7/+AOyAL3ORzOUIZg8ZbtFEVRtCDHOOdwuIdzCFYwb3nL8XnSnaHmcDiHYE2adfo7QYtj/pf7/BJ1+aQrjpWwRh+kHynqDWdF9/T4q9UlqkR44OZhUla1Kvn11b4HQyHsvaSce++5G7r05y2eLtU7cNPHveduQEWNHRbsyFR1QmZvTvPr78bXDmtb22CeFK7aW6KqhdyQs/qmTpXvuqZO3Tuc6KBD9KcX0KUDb3I8jDEGzUsyw8vXPD5ekK4yvJSt1fkHdUCEuP9y70AoPw+z/MKx6pU001Fu+VOGl56/MTPie+rjHEv4vrFA/mvH58k5Q3UgaF6KpnmpnqL656Xw0jNn50ZVPl620YJ0yptrI12h9MZoGrp2WxcsSlivJHkb0vepxtY3tdyD6Wtdye++c76beD4U6VcblHNPXZEADc2+m3fijb+x4slSvTvPuIaiTV+Xosy9aWvvhh1uw9QYQYYpKxJAyqoOqHtwKFqtnbA0ebPbrtqL4UbdLaLXlHy5TvE8f3um7h0i6BD96Qd06cCbHA9jjEGHxr3dv8Tuolcey8sL+pfqHfSkwNsY2AEJWnzw27Qg9QSHyWdU5xakTYwgPf3TIvGnFEVRwaGxv+nvqHzidthrtCDnuA/NogU5nOGl58yS2L9z/sy5DK/70Cyal1NpXqr5JRvzLaUs/cvwDjU0y5MgXaH0xmgaujMFkluStwgqmxtVr+93W43qAx9PPB8Km70X5m5JV8pwSirVlT+tcCzVy6s6Ip9lHYFLN+pUHYyE7MGbPsZlVMGUFQmq43ZFXIf2Dv/vIq+FQ5u9B7ZkHlItiJBecZXYtTjZFXFd8XvIXKRrhwg6RH/6Al068CbHw9AgHBsCSi8YXooMEuL+ddKkjX/mfG3SpI1/9lao5bcML0U6luuVrron6WM/9+CNCIPDLIJjGJZ8nA6Loxle3uY+/Ep5Ly8l0Lz8hBbk8CBenkzzssWxn4kc7Dzmj8aYH9K81MoIUgvNWz4OCpWn0bxUxgjyXfeNCINDY39DC3KfYx+RuCk0Ly9geKmb4aU83IhQGzxt6CqaGlSToc9el1WvF5a3q1aiisv074ZvTs6n31atvuXrxJrUF0Vl8+CleqdFLIPJa84CI8iw4mDOsCs/3Shrh082XVB1QhbuyIJbPlwm1lcOj+VFqRxE3kggcg0Dcfebld/o8/NhwoIOSYP+0KXWeJPjYWgQ/z771J/TvHye5uWX/RsSPmUEuZ0RJDvNS88YQXrR/5Qk4U0+5sdannuoDghFURTDS4toXqrpnyRfzwjSKoqiXnM/5nXjF99lePlA/14djxheKgrmLe8M/Cyaj/tZ/67r92lB6qF5OZVeYvnHgccFhVl+T/NyPs3LTxhetjGC5cRYrpd0hdIbnjR0dnuvav7B4sQN0GHrUr3Ou82/CN1z0e87kjtp7+hWDQPz5eZvnvrzFW3We4OW6jVELoQpW49BWZVtxPc2ttyDtUdzVZ2QaauTIPOa/5dJ9dahpSRdde37cr7UxcaLt2rsitN3lsVDa5vvny5hwoIOSYP+0KXWeJvnYWgUdKj8JsNLkTQv1dCC/IDm5V6alyrpMMsxWoj7L9LlC7QgXaH0hicNXXJZjirRy6tRD22SL6onnt8oIzu5+aRUqpRn7pZ0n3aGSH9R2O29EJGXDIaoBarf0dHcc6pO4lDY7L1wOr5M9eSKEWT4IvYm2Gz+S+S9cZhTVQjTol3XvDZtt2ojTJLEZlQpLoV92bp1iKBD9KdP0KUD0vkiBoamQbpC6Y1XNXRN7TaYHbdM9Vdm1estXTB9XYqScO3x0+pTI1Hf1AlT3eY5pF/13V/19fBFse7zXJi87gyEnAlTdULCU7dBTeurN2XMud4EH7g9NWIEGcIP5kC9j1du8tZhaWMtzDzvutbFCeuhqZ3M8LGh2HQiT/F40g/zkLxxiKBD9Kdf0KUD0vkiBoamQbpC6Y1XNXQHLp9WEr1P4pZCY7t6aM+BqCIl2Xp/TTI0+nni+XC478Tuy79Ck/6icF/5i1kRA0L8dvVSvXHLIP1W3iufDlTX34XQPRdVnZCPNqbCtZu+31V+NA7r2trBJK9S3ZOVzU3E7zcnNnuvqjOXV+x7f6N1iKBD9Kdv0KUD0vkiBoamQbpC6Y2RGrr82nJVMptYekn1enFFB7y9NF5JtmIzyEw8H4qKahtMdkum82+2+d2fr2lt64aPN7omO286kTfkUr2s2QSz4gTYf/lLuFJVDDZ7z5Cf12Htgf1RhapOyDvL4kFMrfTp3ApPHbZZ78GKlK3KNX0Qswjya8uJ32vuFJa3K+4MKxOhwzq06/F0H44X0CH60wvo0gHpfBEDQ9MgXaH0xnANndXWDaGJG5Vkb03ablUSarf3qjb+W7Kb3MTz4djwxVWlfBuP5/nVnz84GlOiXB+7KhFqGu4qrw21VK/7BoaHrkRAXk3pkJ2RpJxaCAlPVHVEtpy85rPJ1J44tNl7YNvFowM2wbxM/B4byNmkCsXZ2qO5fjsvJizokDToD11qDel8EQND0yBdofTGcA1d5I0E11+aoxdCeWOd6vX4SzWuieeCDNfLfPOEYSxcK2lVTY6v8MEys6S+KEpudcA7y1xPn8TUykHH3G5ugoNXzsAncUuH7IiwZhPMk8Lh86uRcL2uQtXBvFlphXmfpas6IcatGVB620rE4alrMapynymQiN9fQ7Hq8BXFV2Sy/zZDxIQFHZIG/aFLrSGdL2JgaBqkK5TeGKqhu93cDDNiFivJ3un8WNXrza1dMMNt4vnus+Qnng9HmNtTmn2R2u/MTuKLYuDTp4U7s0Zctcpq64acqkLYm3Nq2KcirNkEJnk1HM8zQ1H9bbDbe6GlrUs1oZoRZAhZmQjJl+s0vZ5XOYwvvagq5+7sE7pYbncgHdYemBruWvyg5FaH386NCQs6JA36Q5daQzpfxMDQNEhXKL0xsKGz23vh04z9SrK3MH4ttFvVE8sPiuqJ5w3N+ph4PhQXcuuVsk4NT9C8rCS+KCyZ1aqnTwWlnj996rB1QVZlPuy8dBxmng8dtjOyMGEtfJl/Hm421EBUyi3V0xZGkOGgWKTZ/IaRHOZWl8D70QuVcq26sAPaX7G8MClyi1oUPzPWpfi1k4QJCzokDfpDl1pDOl/EwNA0SFcovTGwoUuruKpKRK9UFauOL7mlnnju643+xorN1gtzNqcp5f1SLvOpP1/T0HwP3l/jWmVp3znvn+q0We9B+q082HbxKEx3e+I1kNDEjbAvU4QZW86rOiFhey9Bdf3dMV/TcA7LG+vgY7cnNgvj10JDu/ZDwLTieNxN15yZU9f8em5MWNAhadAfutQa0vkiBoamQbpC6Q33hq654w7MtaxQEr5d2cdVx9rtvbBsf7aSZC3elaW7iedDEZN2Wynz9HUp0N6h3cpE/v6i2PFVgeqv7E0t2jwNaOm4Cynll2FL5iH4IGbRsJ2RGWdXwbs798LklVEOn2uTIedGs+YOG9qsMD9+jWsVr1gBKprqid9LIxG2xzUszpJZ7ddzY8KCDkmD/tCl1pDOFzEwNA3SFUpvuDd0R3LPKgnfx7E81Lepx7AnZNd4PfSHJG3t3aqnBnEaLhfszy+Kq8UtqicQidm1PjlPc4cdEksvwcaM/ardxgcScjIc3tmxHyavNMNXCeVeDzka6LDd1gUrU137mbwfvRCuVt8kfh+N6Ky1S/VksKrujl/PjwkLOiQN+kOXWkM6X8TA0DRIVyi94WzoCusq4T3zfCXpk25mqI5rbu2CD9e7Jp7virhOvOyj4YSlVCn7vM/SNXty468vig5rD3DbMpRrWHEwxy9zDBrbbSDfzIR1aXtU94c7BtEEU4+vgkVfnoKKutE/DXF3aLf3ws5Lx0fcf0aPpOe5NoScsyXd7+fHhAUdkgb9oUutIZ0vYmBoGqQrlN54/vwFPOvrg6XJm5WELzx1+6D9IQ6bi5UEa9rqJF1PPB+KuqZOmLLCtUJRRl6DZv788UURkejaX+Ld5QlQXmXz+TkHOWxrh9jiC7Dqwo5hOyOsaIJliTtAupkBje2eldHd4VcFcarP+zL/PPF7xxPcN3Dcc87/q8JhwoIOSYP+0KXWkM4XMTA0DdIVSm88f/4Ckm5nKgnftOgFcLOhRnVMSaVVtQpSTJq+J54Px+6zN5RrWLY/WzN/vv6iuF17R7W86wlLKXGXNa2tYC5KhmXJnw07RGta9ALYmLEfEksvQXPH8HuwOB0ml+Wo3r/94ue6XG53KNyfTqVe0XaZYk/AhAUdkgb9oUutIZ0vYmBoGqQrlO74+h58FBumJH0nrkWrXrfbe2H5gRyP95zQM2VVNpjsNodCizks/viiWPd5rlLm2ZvToL3DNzuSe8vt5ibYknAODF+uGLYz8kHMItiSeQhSyi9Dq7VzkMNbthr4wG253RUp2wYt/6xXahvuquZGNbb4v9yYsKBD0qA/dKk1pPNFDAxNg3SF0hu7rhxTbUTXNiA5TMqpVU18vnazlXiZx4J7Mr/pRN6YP8/XXxRpV+tV/i8VNBF3OByF5e3w8bZYeHf3Hgj5ctmwnZHpMYth28WjkF5xFdqs96C9xwazLctU9+HABRD0TPwl1+IMi3dlESkDJizokDToD11qDel8EQND0yBdofREVmW+KjG8dFs9sbylrQtmbkhVkqudZwqIl3ms5BW3Ktfz9tJ4qKwZfmiQJ/jyi6K1rRs+3piqaYfJ1zS13IO1Rx2dvMlrzsK7e3YBe2bpsJ2RD88vgXlyuPL/H8WGQVmjb1b38hXbT7uWRj4aU0KkDJiwoEPSoD90qTWk80UMDE2DdIXSCy0dd8EorVQSv60Xjw465ki0euJ5fVOn38vpC0L3XFSua3+U9xv53bnj2y+KIzEu/+yqRKhpGPumf/7AZu+FrxLKYfJS55MbCSavjYBl0ceAk1eNOGfkclUR8fKPBru9Fz5y6yRmXyfzhAoTFnRIGvSHLrWGdL6IgaFpkK5QeuHo1XOuPT/ieKhtVc+HKL2tnngefaGSeJm1IvVKnXJdIeGJYxqz76sviuJbHSr/Ymrg+c+50QzT1yarhpAtP5gNlypuwudXI2GeFK7qgAxc+jkQKKuyKdc2ZUUCseQ99iQAACAASURBVPk5mLCgQ9KgP3SpNaTzRQwMTYN0hdIDN+puqZZRvVCjXhHKbu+FFQfdJp7vCNyJ50Nhs/XC7E1pyvWdji/z+rN88UVhs/cCv9e1q3YgT/yvrr+r2iGcEWSYuSEVrpW0gs3eA3k1pWAuS4D8lmLiZfWG6AuVrs7VgRxi5cCEBR2SBv2hS60hnS9iYGgapCsUaay2buCTNimdj7UZO+FZX5/qmJTLdaqEMa8ksCeeD4XZLXGcsT4F2jt6vPocX3xRxGVWuVZVWirD9bLA2HF+ODqsPXAgqkh1T72zLB7E1Eqw23sD+st2w7GrmnRkx0ogO9QL6BD96QV06YB0voiBoWmQrlCkiSpMVDof70cvhKauNlVD19rWrRrTvv104E88H4rW9m54f41reJAls9qrz9H6i6Kh+Z6qXPvOjW2Oip5IyqmFkJWJqo7I5pPX4OuHTwPyy9Zm64X3ViVpuqyzt2DCgg5Jg/7QpdaQzhcxMDQN0hWKJJXNTTAjZrFql+mBDd3n50uUhOq9VUlQ1zg+Jp4PxfG4m8q1clszvNr0Tusvih1fuVZUmrEuBZpauoh70pLS21Ywbs1QdULm78iEJi+fQJGkoLRNVVdIDpPDhAUdkgb9oUutIZ0vYmBoGqQrFCns9l7YkL5P6XwsTFgL7dZ7qoZu4MTzQJz4PBrqGjvh3eWuHcaz8htH/RlaflHkFrWoEvPE7MBajtZTWtq6YPPJa6prNaxMhPPptwNm5/M7d+7D6fgypfwbjl0lWhZMWNAhadAfutQa0vkiBoamQbpCkSKl/LJqxaHc6hJVQ2e390L4octKQrVge2bATnweDbsiro9pErFWXxQd1h7gtrmeDIQfzAmoZHy02O29IKZWqjq8jCDD2qO5AfPUzX2hBtKrxGHCgg5Jg/7QpdaQzhcxMDQN0hWKBI3tNpgd59ppek/OyUENnfvStIwgQ17x+Jt4PhSlt62q675R1j6q92v1RXEmsVwpw7vLE6C8ykbcjT+4VtIKc7akq34H09cmQ0ZeA/GyjURbe7fq6VkZ4d8XJizokDToD11qDel8EQND0yBdoUiwL+dLpfPxSdxSaGi3qhq6h4+eqnbc3vZlPvEy+xPnzt2MIMOWk9dG9V4tvigqa+0wNdyVzJ6wlBJ34k/uP3gCewesksUIMuyOuA6tbWT21XgV2deblHJ+tDGV+NMqTFjQIWnQH7rUGtL5IgaGpkG6Qvmbq9U3VUOvksrUe348f/4CziTdcttxOwlqA2QIjFa4z714e2k83K694/F7tfiiWPe5qwM0Z3Masc3sSOH+FM59BTCnj/yb+luG2H2xhm2nyXfYMWFBh6RBf+hSa8aS6xnMRpY1mwoNZu4hK5ra2Shuf9C5GT9wvs6enPNjNorbz4pcHWs2PWJFU6VB5NYGHQz6tupzRNMp9xzKiUE0faU+H/cOazYVsmbTI4PIdbBR3B52L/vfx3INGOMsSFcof9Ju64JFCeuUCrM+fe+gv9S2WHtVQ0miUm4RL7e/sdt7YfGui4qDg2KRx+8d6xdFWm69KuG+dL2JuA9/4+6wpuEurDx8WeXk7aXxcNJSClabflbKWrwrSylf/KUa4uXBhAUdkgb9oUut8TbPY8V5M52dBDaKeytE5EwG0dTJitwViqJee/0L4zcNIpfPitzdENG4JCRy3ptsFPcpa+aesqIpXvVZZq7EIJpS2Cjjb90JieT+znU+I82KphesyJkN5nkMazauNJhNT1iROz+GdBVjvAXpCuVPTufHKp2P6TGLobLZscqTzd4LJZVWiMuoAn5ftpJImbZl6irJ8yfumy+GrEyEppZ7Hr1vLF8UrW3dqqFvm0c5/Gu8MNChc4L6lBUJqo5I6O6LUF5Nfm5MY8s9mOxWrtqGu8TLhAkLOiQN+kOXWuNtnud4qsHluP/MEGWcy5pNECIaf8OK895mzSYIieSCVceI3FrWbAL2nPH/oyiKYjey32JF7plB5JaNdD6DyFX0d26UCBHnzXacj/uVt9eBMc6CdIXyF2WNtfBB9EKlA7L7gghfxN6E8IM5wK5SbwbnJLeohXi5SWGz9cKsTy8oLs4klHv0vrF8URyJLlYPfdNBIkuC4RyW3rbCwp1Zqns0JJz8cr2pV1xPrbitGcT9jeQQQYfoL/BAlw68zfOmmOf+Yop53t+7/8wQaZrBmk0wNZL7HRvF/ckgmr4aOESqfxgVsFHcWxRFUWzk3NcdT1K4Pwx3LjbC+Df9edYi95+/ETHze6yZe24QTZu8vQ6McRakK5Svsdp64HppG8w/v0npfIR8uRyYpZYhOx1Odp65TrzspBFTKxUfH65PgQ7rq58GeftFUVzRMaH2XPHWYYe1B47FlsDkper7leRyvXvO3VDKsT9KHzvVY8KCDkmD/tCl1miR8wWdm/EDg3lekEHkWg0id4Nl2W8Md6xB5M4azNzLd8RP/pqiKCpENM1jzSYwmI3HWNHUwpq556xoqmTFeTOd72GjuLeG66QYRK4Vh2FhKOGs2OOFZ8+ew8PHz6Dn6yfQ2fMIbJ0PwNrdA7av7ypY790Ha+cDFbZ7D6Cz5xHcf/gUnjztg74+8tdCmr6+52C791Bx9ODR01e+5+XLl/Dy5cvRnef5C+jseaSc5273ownt3xOHj5/0gb3roeoett97CA8fP/N7ee+4lYPE+b11iKBD9BcYoEsHY833pp41/pVr4jh3j400/Xq4Y5V5I2bTCefPDCL3OWs2AStylpDIeX9kRSNtELk41mwCQxS3mKIoyhA57/3hhlqxZu4WK3LpY70OjHESpCvUWOjrew6Pn/TB/YdPoav38aCEzMHXYLvv1vno6QJr5wO40/0Quu8/hgfODgc2dEPS++CJW8fg4SuP98bfg4dPVb+zx0/7iF83STx12Nf3HLrvPx50z3fffwx9fc/9Utanz56rzu2v82rlEEGH6E//oEsHY8333j0960ds1NzfO4ZWcbkGs+nJ1Ejjfw08LkTkTI5J5KZs92FZ7NnZ/9NgnhdEUdRr7sezoimLNXM9jjkixums2QRs5NzXB35ufwckdazXgTFOgvQjRU+x23uhssYOidm1sD+qEJbsvgjvLo8fcRgVI8gw5chGZejVTPNSSM+vhubWLnzU6yG1DXdVni8WNI54/Gj91Td1wrTVScrn74vUxxAekozWIcnlei2Z1co5w/ZcIu7OW4cIOkR/+gVdOtAy95v8hfG7BpHrYM2mDOfPWJb9hsHMHex/QpIw+Qvjdz35LEOUMYw1m4A9O/t/hkRywY55I3N/P+g4xxAss5bXgRHAQbpCDUdLWxdcvtEMp+PLYN3nuTB9XcorOxuMIMM7y+Jh0c4s2HeuEI5eSFOtU51x69WrKmFDN5gdXxUofsMP5mjqb7vbZ89YnwJNLcN3DicK3tyDwy3Xe8LHy/VuOXVNOd/xuJvE3Y3FIYIO0Z8+QZcOvMnx3oiY+T1WNE4PiZr3y4GvOZ5cmKooytEhYUUutX+53gPURuq/DT5+3syQKG7ywJ8bRONq1mwC9uScH7MRc//f/iFYJtV7j7DfZ0XTC4NoXOfNdWCMwyBdoe7ccSyDW3rbClJWNeyOuA7zt2cOmmQ7HDM3pMLGL65CRGIFXC1ugbZ2x6Z1rdZO4ORVSufjs6zD2NB5yc1Kq8p5YXm7Jv7cNzxkBBmScmqJX6se8PYetNt7wXxh8HK9S3y0XK/d3gsz3P4wcKWwmbi7sTpE0CH60x/o0oE3OV7QwaBvsyL3wCBysvvP346a+xPWzPUYzCaR2kj9N4PIpRnM3EvnXI6hgjVzuazZZGWPsN93/mzSxkl/xpq5MtbMlTh/ZhC526xoyqbchmrhMrwYg4JEJWpsuQcX8xvhhKUUVh6+rBqCM+JwqhUJELb3EhwyF0HK5Tqoqht+h+5jeVGuoVfnQ6GmtRUbujGw5sgV5ffw2anhnyR56q/D2gPc1gzXk5VDl4kuJasnxnoP+mu53pJbHcrnTw1P8GiVtEBxiKBD9Kcf0KUDb/M8g8iF969MdZyN4t4KiTJ+zJpNVQbR1MmenfNz1mxa1J8vxQ7cYJCNMv6WPTnnxxRFUWzU3N+zZu45a+ZyWdE0hRU5g0E0XWbN3NOpkdzvnOcLiZoXokxWj+ImG0QuvH8jQhx+heEKf1Ucu70XTkmlMO+zdI86G4wgw+xNabDl1DUQUyuhoLTN4wSnqP42TIteoHRAYosvYEM3Rq4UNquGuQ3X+fPU35mEcuXz3l2eoIsN9fSCFvegP5brjUy+pXzuqsNXiHvT2uFEBx2iP72ALh2MJddzrGrFFRnM3EODaOo0mE1iSOTsn1GU8mQDhiMkyviu8jlR8/6zf9L5PVbkHrCiKWvqOdO/DzxfSJTpvf4nI0/7l/zdNen0rO+M5Rowxln4q+LkFbeO2NkIWZkIyw/kwLHYEkjPa4C6Ju+SJJu9B5Ymb1YqzoqUrWCze/6XWWzohsZu74VFbn9VP2wu9tpfZa0dpoa7hgmdtJQSvz49oeU9eLW4RbWhJCPIMH1tMqTnNYz5s9cezVU+MyKxgrg3XzmcqKBD9KcX0KUD0vkiBoam4a+KU1V3R7XjuHFrBmz/qgDOp9+G4ooOsNm0GRpiLkpWOh/TohdASUM1NnQakZRTq/z+DCsTh5ww7ok/98R1zpZ0aO/Qz9AdPaD1Pdjc2qWa7O9kd8R1aG3r9uozO6w9YFjpqs8jzQsaDw4nIugQ/ekFdOmAdL6IgaFp+LPyVNffhavFLdDUcs8nn1/V0gwzzi9ROiAnrkVjQ6chVluP6q/pQ/3V+1X+0nLrVUlw9vUm4telN3x1D6ZeqddsuV73J5ofrE0Gm87m72A9RoekQX/oUmtI54sYGJoG6QqlFXZ7L3yacUDpfMyPXwNt1tF3dLChG5nIFNe4/5kbUgfNyxnJX0tbF3y0MVV5/5aTr14WeSLiy3tQq+V6T0qlyvs3ncgj7syfDicK6BD96QV06YB0voiBoWmQrlBacaEiVzVp6nJVETZ0PqClrQveW+VatSz+Yo3H/g5HFyvvY1clQW3DXeLXo0d8fQ86l+udOtRyvVWeLQYg7MtW3hebUUXcmb8dTgTQIfrTC+jSAel8EQND0yBdobSgqd0OcyzLlc7H7uwT2ND5kM/PlyjJ5/ztmaqlXYfzV1zRAW8vde2obr5QSfw69Iq/7sGhluudGp7wyuV6W9u64Z1lrt/lrRo7cWekHI5n0CH60wvo0gHpfBEDQ9MgXaG04MCVr5TOx6w4ARrarNjQ+ZCahruqBPSS2zyOofzZ7L0QtveScvziXVmaLTowHvHnPehYrvfmqJbrzcpvVI77ZJPnS1yPV4fjFXSI/vQCunRAOl/EwNA0SFeosXKtpkw19Cqx9BI2dH5g+2nXqkorD10e0V9sRpVy7OSlMtwo09eKSXqDxD2YV9wKn2zybLneQ+Yi5ZhdEdeJ+9KLw/EGOkR/egFdOiCdL2JgaBqkK9RY6LB1weLEDUrnY23a7jHv9IwNnWe474LNCDIUVXQM6a++qVO10/3+yELiZdc7pO7B4Zbr3TVgud4F2zOV15Jyaon70pPD8QQ6RH96AV06IJ0vYmBoGqQr1Fg4UyApnY/pMYugomnsm6thQ+c5qw5fURLRbV/mD+nP/UnJjPUp0Nw6eO8QRA3pe3Ck5XrrmjpVP6/3csPQ8e5wPIAO0Z9eQJcOSOeLGBiaBukK5S3lTfXwQcwipQMScV3Ghs7P5NxoVhLRd5bFQ3X9XZW/K4XNqmRVr38t1xt6uAdrGu6qOpjO5Xrdl/BdsCOTuCs9Owx00CH60wvo0gHpfBEDQ9MgXaG8wW7vhTUXdimdj9DEjdBh0+Yv69jQje73sHCHaxWlI9HFir8Oaw8Yt2Yor4Ufujzm4XETBb3cg8Mt1+vksLmYeBn17jCQQYfoTy+gSwek80UMDE2DdIXyhvjSi0rn4z3zfMivLceGjhAJ2TVue3skwv0HT+D58xfwVUK58vN3lydAebVn+0sg+rsHS29bYdGA5XoZQYaL+Y3EyxYoDgMRdIj+9AK6dEA6X8TA0DRIV6jRUt/WAbNiBaUDcujKGWzoCNJh7YGP3XY3t1ysgfY7X6v+an5SKiVezkBCj/fgwOV631+TrJqYrjf06DDQQIfoTy+gSwek80UMDE2DdIUaLTsvHVc6H3Mty6G5Q9tN0LChGz3nkiqUzsasTRdgw/E81+TlLenQ3tFDvIyBhJ7vwYLSNjgSUwz5N9uIlyVQHQYK6BD96QV06YB0voiBoWmQrlCjIaeqULXnR3rFVWzodEBzaxewq5KGnCeQ7bZJIeIZeA+iQz2ADtGfXkCXDkjnixgYmgbpCuUpbdZOmC+vVjofmzIP+mRSMzZ03nEkunhQ52PLyWvEyxWI4D2IDvUAOkR/egFdOiCdL2JgaBqkK5SnHM8zK52PD88vgeqWFmzodER1/V14Z1m824T0JKhtuEu8XIEI3oPoUA+gQ/SnF9ClA9L5Ioa+4jVGsHzE8FIRLcgPaF5qDeal/X80xvzQ/SCal+bQgnyLFuTHNC81BvPSWoqN+Yb7MZNmnf4Ow8s7GUFq6T+uJFiQQgae8I+hMX9D81I0I8h3aUF+QAtS+luhsf/k7QWQrlCeUNJQDdOiFygdkOiiFGzodMjOM65NB6MvVBIvT6CC9yA61APoEP3pBXTpwNs8D2McBi1YdjGCDLQgx9ChcW/TgvQhI8i3aUG+9brxi+9SFEXRYdL8/qTsMCPIwTRv2U7z8ktasOxSfRYvRTO89Cg4zCIE8fJkRpAkmpdfBodaGOcxkxbEfJ/mpXpGkBuYMMsMmre8TwtSOS3IXUGL4/6HN9dAukK9Cpu9B5alfKZ0PpYlfwY2u+8mNWND5z1t7d0QeeE2pF1rxD0/xgDeg+hQD6BD9KcX0KWDsWWsGOMm/rDQ8hcMLz1nBEly//mfFok/ZXj5Ic1b1jueakidtCCfcz+GFqRNtCD3vRkW91cURVHBfOyvGEGG4DB5rtthrzG8lM3wcoXyvjB5GSNIL4IXWv7e+bM3+ZgfM7zUzQjyYW+ug3SFehUxxalK52Na9AIorq/Chk7HoD90qAfQITokDfpDl1rjTY6HMQ7jrTDLvzmebFg+GvgaLUiFDC8VBYfG/Y4RZHB/ikFRFPXGoth/YAQZ6DDLbIqiKJq3rKd5+WXQ4nM/cD8umLeYGEEGmo/7meM4+SItSIUDz8cIkpkRpBZvroN0hRqJ6pYWmHk+VOmAHM8zY0Onc9AfOtQD6BAdkgb9oUut8SbHwxiH8SYf83PHUwtpg/vPf8nGfIvmpTu0IPU4OxBBi6W/dT/mdeMX33QfhsUIkpnmpdaB53hrifQHR0cljqYoimJ42Ubz0tmBxzG8tJkRZHhjZsT3RnsdpCvUSGzJPKR0PkzyamizdmJDp3PQHzrUA+gQHZIG/aFLrRltfocxjsMxREp6FBwmzXqTj/kxzcf9zNGZkJ8wvPQ8mLesZAQZJhmj/nLwe+WHNC8fpyiKogXpgvtQK2e8FRr3L4wgQzAvT6coiqJ5+clQQ62CectyRpDhT4vEn472GpwVW29cay5S7flR1Fbul/O+fPkSXr58Sfz6AxX0hw71ADpEh6RBf+hSa0ab32GM45hkjPpLmpdFmpdfOoZKSc9oQTpKC1IUzcu9NC+vZgQZ/rDQ8hcD38vw8kOGlz+nKIqiBSmdFqTygcc4OyBBofI0iqIompee0bx0aOBxzg7IH0KjfjLaayBdoYbi/uMHwMWvVDof+6+exIYuQEB/6FAPoEN0SBr0hy61ZrT5HcYEiEkLYr7/Jh/7S+fyuwwvZdO81Ejz8gL3ORzOUIZg8ZbtFEVRtCDHDDWHwzkEK5i3vEVRFEXz0h2GlyIGHuccgjVp1unvjLbspB8pDsXh3Ail8/FxLA/1bR34qDdAQH/oUA+gQ3RIGvSHLrVmtPkdxjiOYF56j+GlX7v/bNKkjX/G8FI3LcgxtBD3X+4dCGfQYZZf9M8fmUlRFEXz8qcMLz0fOIfDuYTvGwvkv6YoiqIFOYfm5fyB5aB5KZrmpXpvroF0hRpIQW05vGeer3RA5JtZ2NAFEOgPHeoBdIgOSYP+0KXWeJPjYYzTYAS5mOGlLPefKU89BAsbtPjgt2lB6gkOk8+ojhGkTYwgPXXO2QgOjf1Nf0flE7fDXqMFOcd9aBYtyOEMLz1nlsT+nfNnzmV4hxqa5UmQrlDuWG3dEJq4Uel8rL6w0+/7SWBDh/5Igw7RoR5Ah+hPL6BLB97keBjjNJgwywxHx0HaHxxq+RMdJq1jeOk5zcupFEW9RlEUFRxmERzDsOTjdFgczfDyNvfhV8pn8VICzctPaEEOD+LlyTQvWxhBesEIcrDzmD8aY35I81IrI0gtNG/5OChUnkbzUhkjyHfHw0aE567HK52PD6IXQnljHTZ0AQb6Q4d6AB2iQ9KgP3SpNWNKWDHGX9Bhltm0IN+iBfkxLUh1NC9/GrT44Lfdj2F4aRHNSzWMID117GQuraL6OyjOeN34xXcZXj7A8LKN4aVHDC8VBfOWdwadz7HSlsQI8n1akHpoXk6ll1j+0dvyk65QTm41NcL0mEVKB+RMgQUbugAE/aFDPYAO0SFp0B+61Bpv8zwMDF0G6Qp15859sNt7YV3aHqXzsThhPXTYurChC0DQHzrUA+gQHZIG/aFLrSGdL2JgaBqkK9SdO/chqSxbtedHXk0pNnQBCvpDh3oAHaJD0qA/dKk1pPNFDAxNg3SFamizwidxS117flw+jQ1dAIP+0KEeQIfokDToD11qDel8EQND0yBdofZkn1Q6H7Mty6Cp3YYNXQCD/tChHkCH6JA06A9dag3pfBEDQ9MgWZmuVBWrhl6lll8hXsGxoUN/pEGH6FAPoEP0pxfQpQPS+SIGhqZBqiK1We/Bgvg1SudjY8Z+v+/5gQ0d+tMj6BAd6gF0iP70Arp0QDpfxMDQNEhVpFPXYpTOx4yYxXC7uZl45caGDv3pAXSIDvUAOkR/egFdOiCdL2JgaBokKtHNhhqYFr1A6YCIhUnEKzY2dOhPL6BDdKgH0CH60wvo0gHpfBEDQ9PwdwWy2XsgPHWb0vkQkjeD1dZNvGJjQ4f+9AI6RId6AB2iP72ALh2QzhcxMDQNf1eguJI0pfPxnnk+FNZXEq/U2NChPz2BDtGhHkCH6E8voEsHpPNFDAxNw5+Vp6a1FWaeD1M6IJ9fjSReobGhQ396Ax2iQz2ADtGfXkCXDkjnixgYmoY/K8/WrCNK58MorYSWjrvEKzQ2dOhPb6BDdKgH0CH60wvo0gHpfBEDQ9PwV8UpaahW7flxsbKAeGXGhg796RF0iA71ADpEf3oBXTognS9iYGga/qo47h2QHZeOEa/I2NChP72CDtGhHkCH6E8voEsHY8n1DGYjy5pNhQYz95AVTe1sFLc/6NyMH7gd8hprNq5kRa7OYDY9Yc2mqhCRMw38HPbknB8bRO44azZZWbPpEStyeWzUvP8ceNyUiDn/aBBNKayZ63Fgip0aOef/Gcs1YIyz8GflyakqhLiSdOiwdRGvyMOBDR36Iw06RId6AB2iP72ALh14m+ex4ryZrNkEBtH0FRvFvRUiciaDaOpkRe4KRVGvURRFGczGHayZe24QTZtY0Uj//+3df5Dc5H3HcQGOcQilDPHh9nyHd7XP95tQ0rShFNJOfjgkpXb4aZ9U0lB+GNsrJTSTTn6MO2mnY0KmkMyQoSSQGFIIdnwSNBOYNGn4EVpMf4SUEqaEUtqAW0wDbmwDBgcM2Lf9Q8+eZVl3t7e3d9Kq79fM94/bfU569jOjR49WWsmLwxv9OGyNRM3Lxhe03jncj8MfeFG404+DphcHK/042OLF4d6Vm5ont5udG60atm0e8qPA86PwEi8KnvbjYKt/nX/0TOasqJCiN6iyFQMd+RVdZEiGZSgyJL+yFFkm1e08z4+CJ/w42JJ+zRttrrEHGKedE1066MfBq/5o83MH/1+40Y+DXf56f75djufHYWtk89oPjLdZ78/34/AnfhR8Z3zZUfBlPwp3+19bfVz7tZHNgSQHOMGnuv0cqJiiN6iyFQMd+RVdZEiGZSgyJL+yFFkm1e08b0W85sQV8VpNv+ZtDi/w47C1cnPwHm9zcJEfh60VG1e/Ld3GHw2W+XHY8kfXnO44juPFwU1+FOxw7FmT8WVFwVV+FLy2/NrlRzqO4/hxsNWPw29m++FFwQNeFN7f7edAxRS9QZWtGOjIr+giQzIsQ5Eh+ZWlyDKpXsz5ln/jgmO8eO1yLwqe9qLgQd/3j/Ci4CovDsZ+Y0PzDem258XNRvoyLC8KHrCXbR3Ej4LVfhy2RkbXnrT05ksWJJd7BVdk23lRsMkewACO096wqaTGxsZaY2NjhfejX4v8yLAMRYZkWHSRH1n2umY631u5qfnLB+5GGuzyN4enOo7jeHHzq34U7Mm2929aNZAcTDQ/4ziO48fh4+lLrdrsD9xbXrT2t/2bL/klewByyKVWXhxc50fBazP9HKiIojeoshUDHfkVXWRIhmUoMiS/shRZJjXT+d55N19yrD+65nQvDs714+AfvDjcu3Jz8332rlYvZdsfOAAJ1jmO43hR8J9eFP51tl37AOTA70nCljfa/OSh7YLr/Ch4ZaafAxVR9CnFslV7Qy+6H/1a5EeGZSgyJMOii/zIstfVy7nf2RuaR3lR8Iwfh/f4o8EX/Cjcv3T90nnpNgcuwUpux+vH4T/n/YbjwCVYzbeevaF5lL3j1mez7ewlWNt7+TnQx4reoMpWDHTkV3SRIRmWociQ/MpSZJlUN3O8MzZe+CY/an54ZHTtSdn3/Ci814/Dx73RYFX7ACL9vhevXZ4cTKx5d/J3cIsfh89ml+PFzc/7UfDK+N2y4uApPwrifVuuHQAADUZJREFUQ9cX/NCPwnu7+RyooKI3qLIVAx35FV1kSIZlKDIkv7IUWSbVzRxv+bXLj/SjYI8XBXekXz9ndM0iPw5e8OIwOie6dNCPwv3+aHB5uo0fhRv9KNix9OZLFiR/B+cnd85qvm+8jb0Nb/rSLC8KvuLFwfPp2/CuiNeqHwf78i7Nwv9TRW9QZSsGOvIrusiQDMtQZEh+ZSmyTKrbeZ4XBevsbzlu8EeDZSOjzYv9OHzci8Kd/qbVxnEcx4uDa5ODkPBKP2qeaX8X0ko/DX3p+qXzvCj8kRcHz3ujwUf9KFzhx8EWPw5fHolWv6Pd7rworHlx8KIfB4/4UXD+yGjzYj8Kt/lR8AQPIsS4ojeoshUDHfkVXWRIhmUoMiS/shRZJjWTuV7yNPTgIS8Ofu5F4U4vDqORzZe64+/7/hFeFK734+ApLw73+lH4mDfaXHPIcm5aNZBcihXs8qNgjx8Ff9++RCttJFr9Di8Kvp9a323+xuYJM/kMqJiiN6iyFQMd+RVdZEiGZSgyJL+yFFkmVfR8EeipojeoshUDHfkVXWRIhmUoMiS/shRZJlX0fBHoqaI3qLIVAx35FV1kSIZlKDIkv7IUWSZV9HwR6KmiN6iyFQMd+RVdZEiGZSgyJL+yFFkmVfR8EeipojeoshUDHfkVXWRIhmUoMiS/shRZJlX0fBHoqaI3qLIVAx35FV1kSIZlKDIkv7IUWSZV9HwR6KmiN6iyFQMd+RVdZEiGZSgyJL+yFFkmVfR8EeipojeoshUDHfkVXWRIhmUoMiS/shRZJlX0fBHoqaI3qLIVAx35FV1kSIZlKDIkv7IUWSZV9HwRAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABUjDHmD1T1QVV9UVV/KiJ/1Wg0TKrJYcaYPxaRJ0Rkr6o+LiLhFMu8TEReyHuvVqvVRCRS1V2q+pKq/qOqfqCTvtZqtQUi8gUR2SYir4jIwyIykrP+d4rIXSLyMxF5XkTud133/Z2sYzqqmF2aiJymqq8bY/6ok3V0o4oZDg4OLhSRDSKyXUReFpGHG43G+Z2soxtVzNB1XRWRb4nI/6rqcyJytzHm5E7W0Y1+yjBNRM5U1VatVjs2+57ruieo6q2qukNV94jI3fV6/e3TXUenqpjhXO1LMuucsxxVtTVZTdXXsu2TAfQJEfm4qrZEZIOqftAYc6Gq/oeIvLBkyZK6bfN5EdknIp+1A/WNqtoyxlyWt0xVvci2P2Swq9fri1T1WTtg/r4x5mxV/b6qvqqqp07VX1W9VUReNsZ8wv7v7SIyJiJntdu4rnuKqr4qIveJyIgx5lwRudN+zpUzySutitmlDQwMHC0iP7H9nZUDkCpmODQ09EYR+TdVfcYYs7rRaCxX1dju0FfMJK88VczQGDOgqs+KyJPGmAuMMefYyeWeWq321pnklaffMmwzxpyhqnvyJs92+31SVbcaYy5Q1Q+JyI9V9TljzNB0M5pKFTOcq31J2lzn6Lruu7Klqn9o+3D9VP0t0z4ZQP84zH5zdFv6Rdd1TxCR/ap69fDw8KAdOD6XbqOqG1V1l+M489uv1ev1Jaq6yU60duUNdiLyFVXd2Wg0jm+/ZidsT6jq5ZN11g5iLWPMmvRnsIPao6l1fEtEttVqtQWpdvNU9d9F5KEpU+lMJbPLrO8mEXlqFg9AKpmhMWadqr5qjPmVVLvDReQHIvKXU6YyPVXNcI3tw/hEslarHWsnl1d3Esw09FWGjjN+hu0a27+deZNnEfmUiOx3XVdT6zhORJ5X1S93lEznqprhXOxL0uY8x6yFCxf+giRnVv7JcZx5k7Ut2T4ZQL+o1WrHisj1xpjfzb5nd1Kxql6kqq1Go/G29PuNRmOZff309muqeof9NupMEfl63mBnB8FruumvMebPRGTMGHNMpq+hHWDdVLuP56z7dhHZ3s26s6qaXer1lSLycruvs3EAUtUMReRHqnpHN+uYrgpn+DFVbaUnz05yELfbGHNLN+ueSL9laPt1jYj8j6perKrr8ybPqvq3qvovOeuORWRbt+vOU9UM52JfklZEjlmqerU9wDlxqrZl2icDqADXdd+vyanRP1HVq0RkzHGcN6TbGGMamjnl67rurzqOc7jjOE7eYGe/jWmJSGiM+XNVfUZVX1fVB40x752qX3bH+fQk/T1zov8dHBxcqMl15PdMnUD3qpCd/YZtl4h8rFar1WbrAGQifZ7hPFV9TZJLIz6tqv8lyaUPj8kUv7fppT7P0Gk0GseLyDZV/d6SJUvqxpgBY8yXRGRfeoI1m8qaoV3uiY79pnuiybOIbFfVTTn/e4WqthYtWvSmDqPoWr9nmGeu9iVps5VjznrU5nhlJ/3qh30ygD6hqotV9b9FZLs9Xf9VVd2TbWev0W6p6mfylpM32KnqqfZ/fioiW0TkLGPMOSLyQ1V9Tae4bldE7pScy4Vc1/1NO9h9eIJ/na+qfyMi+0XkPZOtYyYqkt1hInKPiNzlOM5hc30A0u8ZNhqN49vrUNVHjDFeo9FYJiLf1Vn6DUhWv2eYavs7IrLbrq9lt99VnSfRvTJnmNPXiQ5A9mrOpVb2wLg1PDw8OJ31TFcVMswxJ/uSTN9mLcecdX1NVV9avHjxmzvpW9n3yQD6RL1ef4uqbhWR3SJymuM4jjHmBlV9Kdu2PdgZY9blLStvsLM/bmup6tb0taD22u4dIvId+9L8Wq22IF12mXeLyI+z62oPdnl3GbLXs95p+/rRaQUyDVXJTlU/qaq72pOTuTwAqUKGxpghu+Pdnb423XGceZKcBcn9vU2vVCFD27ffk+TM0V12cnmGMeYWEdmnqhd3HVAHyp5h1kSTZ1V9zRjzpZw+fVpVW/V6fdGUYXSpKhmmzdW+JG22c0xbvHjxm+1B6xdz3u67fTKAPmGMOUOSW+Ntd133lPbrktxeb7+T+TFa+3SvTHDrv7zBrl6vv90OOjdk22tyreqz9n/va3/r2S7b5jbJuXa5fbq30WgsyyzTFZFHNbmN7KXTiGNaqpKdqv6aiOy131rNcxxnXuq0/ieyn6OXqpKhMeYY26+7c/p0jV3/kR3GMi1VydC2e9xObA7qs4h8U0R2Dw0NvbHTXKajHzLM+Z+JzoD8TFU35vTpCts+dzI+U1XKMPX+nOxL0uYix8z/r7YHpofcprnf9skA+oSqrrXfNj5ar9eXpN8TkVV2YD7o1pf21qItVX133jLzBrvBwcGjJLmTxyE7RU1Oxz7pOMm3Pq7rnpIu2+ZyEdmXvXbZGPMRO9gNp5Z3qv0m7Hnt4r7wnapSdu2d8GRVq9VqXQU1iSplaNs9KyL35/TpelV93bHXZPdSBTN8NW9yKfbH6fV6/S2dJdO5fskw538mOgDZIiIP5LS/tb2OXqtahva9OdmXZNY5Jzlm3v+2THCGtp/2yQD6hDHmQhEZU9V7s3eycJzkB8l2oD/otoaa3PJvx0Tfok002InIPaq6a2ho6LhUHwYkOcV882R9leSheC05+Drww+yOdvw0sDHmJLu8bdLBnTy6VbXshoeHB7M7GZPc172lqlfbnc78/DV0p2oZ2r7dqKqvpx8cZow5UpMfpP/dZOvoRhUzlORhZo85mR/aSnIGZO/AwMDRk61nuvopw6yJJs/GmHUiss91XWm/1r4Nb96lWTNV0QznZF+SWeec5pj6/53SwXM/Msss1T4ZQJ+wD3Lao6o7jDFnZB9G1B4oRORaO+BdKSJn2mtQJzzVa/8nd7AzxpwsIj8XkYeNMb4xxlfVf9Xkia9u3rIyy/22iOw1xqwzxpwtyf3F96vqB9ttVPVBSW4NuCb7mYwx7+w2r7SqZpc1m78BqWqGxpghSS5/2aqqF5nkoVv3aXLZwW91m1eeqmZof7i/T1XvleSW0GepfZ6BiPxpt3nl6ccM0yaaPLuu+4si8rQkdxO7uNFonK+qj9jP2dMHEVY1w7nYl6QVkaPjOI49A94yxnxkun0uyz4ZQB8xBx72NVG1n2VwhKquF5GnJPmNwGPm4AcPHWKywU5Efl2SuwK9qKovish3jTEnddJne+r9L0Rku4i8LCIPGWPObb/faDTMZJ9psm+ApqOK2eWZzQOQKmeoqq4m9+x/zk6Striu+65O1jEdVc7QGPNeTZ5svUdEXpDkQY49v5VxP2aYNtHk2b7nqurtdvkvqOr3ss+P6IUqZjhX+5K0onJs/2hcVT803T6XZZ8MAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlNv/AcM4pxDTzutsAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Comments vs. Death: All Opioids')"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "\n",
    "ax=fig.add_subplot(111, label=\"1\")\n",
    "ax2=fig.add_subplot(111, label=\"2\", frame_on=False)\n",
    "\n",
    "ax.plot(dates, ndf[ndf.columns[5]], color=\"C0\")\n",
    "ax.set_ylabel(\"Comments mentioning opioids\", color=\"C0\")\n",
    "ax.tick_params(axis='y', colors=\"C0\")\n",
    "\n",
    "\n",
    "ax2.yaxis.tick_right()\n",
    "ax2.xaxis.tick_top()\n",
    "ax2.xaxis.set_major_locator(plt.NullLocator())\n",
    "y1, y2= ax.get_ylim()\n",
    "ax2.set_ylim([y1/3, y2/3])\n",
    "ax2.set_ylabel('Deaths to opioids', color=\"C1\")\n",
    "ax2.yaxis.set_label_position('right')\n",
    "ax2.tick_params(axis='y', colors=\"C1\")\n",
    "ax.plot(dates, ndf[ndf.columns[6]]*3, color=\"C1\")\n",
    "plt.title(\"Comments vs. Death: All Opioids\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'comments' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-30-e3693f3cc64e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mndf\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcomments\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'comments' is not defined"
     ]
    }
   ],
   "source": [
    "ndf[comments]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# arbitrary increase in importance of the drugs we are looking at.\n",
    "idfplus = idf.copy()\n",
    "for drug in drugs:\n",
    "    if drug in idfplus:\n",
    "        idfplus[drug] += .1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dbonus = .1\n",
    "def cos_sim(row1, row2):\n",
    "    tokens1 = row1[\"tokens\"]\n",
    "    tokens2 = row2[\"tokens\"]\n",
    "    norm1 = 0.\n",
    "    norm2 = 0.\n",
    "    iproduct = 0.\n",
    "    for token in tokens1:\n",
    "        value = idf[token]\n",
    "        if token in tokens2:\n",
    "            iproduct += idf[token]**2\n",
    "        norm1 += idf[token]**2\n",
    "    for token in tokens2:\n",
    "        norm2 += idf[token]**2\n",
    "    for drug in drugs:\n",
    "        if len(row1[drug]) > 0:\n",
    "            norm1 += dbonus**2\n",
    "            if len(row2[drug]) > 0:\n",
    "                iproduct += dbonus**2 / 2\n",
    "                for term in row1[drug]:\n",
    "                    if term in row2[drug]:\n",
    "                        iproduct += dbonus**2 / 2\n",
    "                        break\n",
    "    for drug in drugs:\n",
    "        if len(row2[drug]) > 0:\n",
    "            norm2 += dbonus**2\n",
    "    return iproduct/np.sqrt(norm1 * norm2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"all slang\"].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"simtotwo\"] = [cos_sim(df.iloc[2,:], row) for index, row in df.iterrows()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfsort = df.sort_values(by=[\"simtozero\"], ascending=False)\n",
    "dfsort1 = df.sort_values(by=[\"simtoone\"], ascending=False)\n",
    "dfsort2 = df.sort_values(by=[\"simtotwo\"], ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(20):\n",
    "    print(df.body.iloc[i] + \"\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dfsort.body.iloc[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.body[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#params\n",
    "drug_weight = 10.\n",
    "part_weight = 1.\n",
    "roa_weight = 20.\n",
    "word_weight = 1.\n",
    "subreddit_weight = 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def vectorize(row):\n",
    "    vector = []\n",
    "    for drug in drugs:\n",
    "        if len(row[drug])>0:\n",
    "            vector.append(drug_weight)\n",
    "        else:\n",
    "            vector.append(0.)\n",
    "    for roa in roas:\n",
    "        if roa in row[\"roas\"]:\n",
    "            vector.append(roa_weight)\n",
    "        else:\n",
    "            vector.append(0.)\n",
    "    for part in parts:\n",
    "        if part in row[\"parts\"]:\n",
    "            vector.append(part_weight)\n",
    "        else:\n",
    "            vector.append(0.)\n",
    "    vector.extend(word_vector(row))\n",
    "    vector.extend(subreddit_vector(row))\n",
    "    return vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#not implemented\n",
    "def word_vector(row):\n",
    "    result = []\n",
    "    n = len(row[\"tokens\"])\n",
    "    for key in idf:\n",
    "        if key in row[\"tokens\"]:\n",
    "            result.append(word_weight * idf[key])\n",
    "        else:\n",
    "            result.append(0.)\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#not implemented\n",
    "def subreddit_vector(row):\n",
    "    return [0.]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "rows = df.iterrows()\n",
    "index, row = next(rows)\n",
    "len(vectorize(row))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "vectored = [vectorize(row) for index, row in df.iterrows()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = np.array(vectored)\n",
    "kmeans = KMeans(n_clusters=100,random_state=0).fit(X)\n",
    "dfk = df[kmeans.labels_ == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.iloc[4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df7=df[df[\"date\"]==dates[6]]\n",
    "df9=df[df[\"date\"]==dates[8]]\n",
    "df11=df[df[\"date\"]==dates[10]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df7f = df7[[len(row[\"fentanyl\"]) > 0 for index,row in df7.iterrows()]]\n",
    "df9f = df9[[len(row[\"fentanyl\"]) > 0 for index,row in df9.iterrows()]]\n",
    "df11f = df11[[len(row[\"fentanyl\"]) > 0 for index,row in df11.iterrows()]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df7f = df7f.reset_index(drop=True)\n",
    "df9f = df9f.reset_index(drop=True)\n",
    "df11f = df11f.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df7f.body[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['9/2016\\nt3_557vlt',\n",
       " '12/2016\\nt3_5l3dsr',\n",
       " '12/2016\\nt3_5hq6ya',\n",
       " '5/2016\\nt3_4iw37c',\n",
       " '10/2016\\nt3_59u5yq']"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop_posts = df.groupby([\"link_id\", \"date\"]).size().sort_values(ascending=False)[:5]\n",
    "datesg = []\n",
    "for i in range(len(pop_posts)):\n",
    "    datesg.append(str(pop_posts.index[i][1].month) + \"/\"+ str(pop_posts.index[i][1].year) + \"\\n\" + str(pop_posts.index[i][0]))\n",
    "datesg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div id='ae6b1de5-fdf5-46d6-92c2-96322336ed13'></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "([<matplotlib.axis.XTick at 0x1cfdc2cbb70>,\n",
       "  <matplotlib.axis.XTick at 0x1cfdbe92b00>,\n",
       "  <matplotlib.axis.XTick at 0x1cfdbecf0b8>,\n",
       "  <matplotlib.axis.XTick at 0x1cfdc2ef438>,\n",
       "  <matplotlib.axis.XTick at 0x1cfdc2efb70>],\n",
       " <a list of 5 Text xticklabel objects>)"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig=plt.figure()\n",
    "plt.title(\"Posts with most opioid related comments\")\n",
    "y_pos = np.arange(5)\n",
    "plt.bar(y_pos, pop_posts, align='center')\n",
    "plt.xticks(y_pos, datesg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}