{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test di pandas\n",
    "========\n",
    "Test del modulo **pandas** per la realizzazione di database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import yaml\n",
    "import ftu\n",
    "import matplotlib\n",
    "\n",
    "matplotlib.style.use('classic')\n",
    "matplotlib.style.use('seaborn-paper')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creazione di un database di scariche. ###\n",
    "\n",
    "Memorizziamo le scariche in una vaiabile di testo formattata secondo lo standard YAML.\n",
    "Ricordarsi di inserire una barra inversa prima del segno di percento. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dinfo = \"\"\"\n",
    "    channels:\n",
    "        ipl : zzzzed.ipl\n",
    "        te_ece :  \\%e.ecmtmax\n",
    "    shots:\n",
    "        25255: [0.7, 1.23]\n",
    "        25277: [0.1, 0.3, 0.55]\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Leggiamo i dati ed inseriamoli in un dizionario. Nel dizionario appaiono come liste. Per il momento non c'è il controllo dell'esistenza delle suddette scariche, o se i dati per quelle scariche esistono.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'channels': {'ipl': 'zzzzed.ipl', 'te_ece': '\\\\%e.ecmtmax'},\n",
       " 'shots': {25255: [0.7, 1.23], 25277: [0.1, 0.3, 0.55]}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "info = yaml.load(dinfo)\n",
    "info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'ipl': [-370620.5, -553680.0, -778753.19, -1047340.5, -1071348.2],\n",
       " 'shot': [25277, 25277, 25277, 25255, 25255],\n",
       " 't': [0.1, 0.3, 0.55, 0.7, 1.23],\n",
       " 'te_ece': [1.1806256, 1.1881866, 1.489302, 1.3222637, 1.134959]}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "info = yaml.load(dinfo)\n",
    "channels = info['channels']\n",
    "\n",
    "outdata = {key:[] for key in channels.keys()}\n",
    "outdata['shot'] = []\n",
    "outdata['t'] = []\n",
    "\n",
    "for shot, times in info['shots'].items():\n",
    "    dtemp = {}\n",
    "    for chname, chchan in info['channels'].items():\n",
    "        dtemp[chname] = ftu.ftudata(shot, chchan)\n",
    "    for t in times:\n",
    "        outdata['shot'].append(shot)\n",
    "        outdata['t'].append(t)\n",
    "        for chname, value in dtemp.items():\n",
    "            outdata[chname].append(value.get(t=t)[1])\n",
    "outdata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dalla variabile **outdata** creiamo una variabile DataFrame di pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ipl</th>\n",
       "      <th>shot</th>\n",
       "      <th>t</th>\n",
       "      <th>te_ece</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-370620.5000</td>\n",
       "      <td>25277</td>\n",
       "      <td>0.10</td>\n",
       "      <td>1.180626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-553680.0000</td>\n",
       "      <td>25277</td>\n",
       "      <td>0.30</td>\n",
       "      <td>1.188187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-778753.1875</td>\n",
       "      <td>25277</td>\n",
       "      <td>0.55</td>\n",
       "      <td>1.489302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-1047340.5000</td>\n",
       "      <td>25255</td>\n",
       "      <td>0.70</td>\n",
       "      <td>1.322264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-1071348.2500</td>\n",
       "      <td>25255</td>\n",
       "      <td>1.23</td>\n",
       "      <td>1.134959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            ipl   shot     t    te_ece\n",
       "0  -370620.5000  25277  0.10  1.180626\n",
       "1  -553680.0000  25277  0.30  1.188187\n",
       "2  -778753.1875  25277  0.55  1.489302\n",
       "3 -1047340.5000  25255  0.70  1.322264\n",
       "4 -1071348.2500  25255  1.23  1.134959"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = pd.DataFrame(outdata)\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Piccola funzione per riordinare le colonne di un **DataFrame**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shot</th>\n",
       "      <th>t</th>\n",
       "      <th>ipl</th>\n",
       "      <th>te_ece</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>25277</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-370620.5000</td>\n",
       "      <td>1.180626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25277</td>\n",
       "      <td>0.30</td>\n",
       "      <td>-553680.0000</td>\n",
       "      <td>1.188187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25277</td>\n",
       "      <td>0.55</td>\n",
       "      <td>-778753.1875</td>\n",
       "      <td>1.489302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>25255</td>\n",
       "      <td>0.70</td>\n",
       "      <td>-1047340.5000</td>\n",
       "      <td>1.322264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>25255</td>\n",
       "      <td>1.23</td>\n",
       "      <td>-1071348.2500</td>\n",
       "      <td>1.134959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    shot     t           ipl    te_ece\n",
       "0  25277  0.10  -370620.5000  1.180626\n",
       "1  25277  0.30  -553680.0000  1.188187\n",
       "2  25277  0.55  -778753.1875  1.489302\n",
       "3  25255  0.70 -1047340.5000  1.322264\n",
       "4  25255  1.23 -1071348.2500  1.134959"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def ordercol(frame, var):\n",
    "    varlist = [w for w in frame.columns if w not in var]\n",
    "    frame = frame[var+varlist]\n",
    "    return frame\n",
    "\n",
    "a = ordercol(a,['shot','t'])\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Salviamo la suddetta variabile in un file usando il metodo to_string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "with open('datiftu.txt','w') as f:\n",
    "    a.to_string(f,index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Rileggiamo i dati della tabella in una diversa variabile"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>shot</th>\n",
       "      <th>t</th>\n",
       "      <th>ipl</th>\n",
       "      <th>te_ece</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>25277</td>\n",
       "      <td>0.10</td>\n",
       "      <td>-370620.5000</td>\n",
       "      <td>1.180626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25277</td>\n",
       "      <td>0.30</td>\n",
       "      <td>-553680.0000</td>\n",
       "      <td>1.188187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25277</td>\n",
       "      <td>0.55</td>\n",
       "      <td>-778753.1875</td>\n",
       "      <td>1.489302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>25255</td>\n",
       "      <td>0.70</td>\n",
       "      <td>-1047340.5000</td>\n",
       "      <td>1.322264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>25255</td>\n",
       "      <td>1.23</td>\n",
       "      <td>-1071348.2500</td>\n",
       "      <td>1.134959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    shot     t           ipl    te_ece\n",
       "0  25277  0.10  -370620.5000  1.180626\n",
       "1  25277  0.30  -553680.0000  1.188187\n",
       "2  25277  0.55  -778753.1875  1.489302\n",
       "3  25255  0.70 -1047340.5000  1.322264\n",
       "4  25255  1.23 -1071348.2500  1.134959"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b = pd.read_table('datiftu.txt', delim_whitespace=True)\n",
    "b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Leggiamo il database delle scariche del JET"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "c = pd.read_table('n1_y_ILW', delim_whitespace=True,comment='#')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Le cui colonne sono"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([u'npulse', u'B0', u'Ip', u'Pt1', u'Pt2', u't_rad', u'Pmax', u'Pon',\n",
       "       u'dP1', u'dP2', u'kg1l', u'hrtx', u'q95', u'tril', u'triu', u'bNmax',\n",
       "       u'tbNmax', u'bNon', u'dbN1', u'dbN2', u'Hon', u'dH1', u'dH2', u'Mmax',\n",
       "       u'Mdur', u'Mtime', u'Mtype', u'Mamp0', u'Mamp1', u'Mamp2', u'BOLOon',\n",
       "       u'dBOLO1', u'dBOLO2', u'xpeakon', u'dxpeak1', u'dxpeak2', u'Pt1s',\n",
       "       u'Pt2s', u'Pmaxs', u'kg1v', u'li3m'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.columns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fa25e003550>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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R0R3/wHpmj2s0NoSUacEffyzmyJEj1K9fv4QjFKWVpW7HCPPk0xZClDpHjx7D1S0Mjcam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bOnbqTN++fYG8b/SffvoptnZ22DzZEMen/FFbFv7GnZuSSm5SMq6NOhR6npJunMfVtwVmmqK/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\nIYQQJvF/ftluCcGiJjAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa25e5ea910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.style.use('seaborn-deep')\n",
    "\n",
    "c[c.Hon>0.2].plot.scatter(x='Hon',y='Mmax',c='li3m',s=50,cmap='viridis',figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>npulse</th>\n",
       "      <th>B0</th>\n",
       "      <th>Ip</th>\n",
       "      <th>Pt1</th>\n",
       "      <th>Pt2</th>\n",
       "      <th>t_rad</th>\n",
       "      <th>Pmax</th>\n",
       "      <th>Pon</th>\n",
       "      <th>dP1</th>\n",
       "      <th>dP2</th>\n",
       "      <th>...</th>\n",
       "      <th>dBOLO1</th>\n",
       "      <th>dBOLO2</th>\n",
       "      <th>xpeakon</th>\n",
       "      <th>dxpeak1</th>\n",
       "      <th>dxpeak2</th>\n",
       "      <th>Pt1s</th>\n",
       "      <th>Pt2s</th>\n",
       "      <th>Pmaxs</th>\n",
       "      <th>kg1v</th>\n",
       "      <th>li3m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>82727</td>\n",
       "      <td>-1.99</td>\n",
       "      <td>-1.56</td>\n",
       "      <td>45.003</td>\n",
       "      <td>45.916</td>\n",
       "      <td>45.925</td>\n",
       "      <td>13.434</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>-28993</td>\n",
       "      <td>-196</td>\n",
       "      <td>1.51</td>\n",
       "      <td>-0.03</td>\n",
       "      <td>0.12</td>\n",
       "      <td>45.003</td>\n",
       "      <td>45.916</td>\n",
       "      <td>11.473</td>\n",
       "      <td>10.59</td>\n",
       "      <td>1.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>82728</td>\n",
       "      <td>-1.99</td>\n",
       "      <td>-1.60</td>\n",
       "      <td>45.001</td>\n",
       "      <td>48.996</td>\n",
       "      <td>45.829</td>\n",
       "      <td>14.705</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>-20791</td>\n",
       "      <td>235922</td>\n",
       "      <td>0.97</td>\n",
       "      <td>-0.06</td>\n",
       "      <td>0.07</td>\n",
       "      <td>45.001</td>\n",
       "      <td>48.996</td>\n",
       "      <td>11.430</td>\n",
       "      <td>10.82</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>82787</td>\n",
       "      <td>-2.00</td>\n",
       "      <td>-1.51</td>\n",
       "      <td>45.002</td>\n",
       "      <td>48.796</td>\n",
       "      <td>49.015</td>\n",
       "      <td>12.867</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>594</td>\n",
       "      <td>3328</td>\n",
       "      <td>2.63</td>\n",
       "      <td>0.17</td>\n",
       "      <td>0.14</td>\n",
       "      <td>45.002</td>\n",
       "      <td>48.796</td>\n",
       "      <td>11.356</td>\n",
       "      <td>12.55</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>83313</td>\n",
       "      <td>-2.26</td>\n",
       "      <td>-1.72</td>\n",
       "      <td>46.013</td>\n",
       "      <td>50.201</td>\n",
       "      <td>47.010</td>\n",
       "      <td>17.647</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>-25304</td>\n",
       "      <td>74532</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>46.013</td>\n",
       "      <td>50.201</td>\n",
       "      <td>15.123</td>\n",
       "      <td>11.19</td>\n",
       "      <td>1.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>85036</td>\n",
       "      <td>-2.32</td>\n",
       "      <td>-1.85</td>\n",
       "      <td>45.514</td>\n",
       "      <td>46.051</td>\n",
       "      <td>46.032</td>\n",
       "      <td>24.859</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>-201534</td>\n",
       "      <td>-78993</td>\n",
       "      <td>0.51</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.16</td>\n",
       "      <td>45.514</td>\n",
       "      <td>46.051</td>\n",
       "      <td>24.642</td>\n",
       "      <td>11.25</td>\n",
       "      <td>1.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>87326</td>\n",
       "      <td>-1.96</td>\n",
       "      <td>-1.99</td>\n",
       "      <td>44.506</td>\n",
       "      <td>47.353</td>\n",
       "      <td>47.342</td>\n",
       "      <td>23.445</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>-2506</td>\n",
       "      <td>465768</td>\n",
       "      <td>0.85</td>\n",
       "      <td>-0.05</td>\n",
       "      <td>0.28</td>\n",
       "      <td>44.506</td>\n",
       "      <td>47.353</td>\n",
       "      <td>20.028</td>\n",
       "      <td>11.20</td>\n",
       "      <td>1.13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>6 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     npulse    B0    Ip     Pt1     Pt2   t_rad    Pmax  Pon  dP1  dP2  ...   \\\n",
       "8     82727 -1.99 -1.56  45.003  45.916  45.925  13.434    0    0    0  ...    \n",
       "9     82728 -1.99 -1.60  45.001  48.996  45.829  14.705    0    0    0  ...    \n",
       "10    82787 -2.00 -1.51  45.002  48.796  49.015  12.867    0    0    0  ...    \n",
       "27    83313 -2.26 -1.72  46.013  50.201  47.010  17.647    0    0    0  ...    \n",
       "133   85036 -2.32 -1.85  45.514  46.051  46.032  24.859    0    0    0  ...    \n",
       "221   87326 -1.96 -1.99  44.506  47.353  47.342  23.445    0    0    0  ...    \n",
       "\n",
       "     dBOLO1  dBOLO2  xpeakon  dxpeak1  dxpeak2    Pt1s    Pt2s   Pmaxs   kg1v  \\\n",
       "8    -28993    -196     1.51    -0.03     0.12  45.003  45.916  11.473  10.59   \n",
       "9    -20791  235922     0.97    -0.06     0.07  45.001  48.996  11.430  10.82   \n",
       "10      594    3328     2.63     0.17     0.14  45.002  48.796  11.356  12.55   \n",
       "27   -25304   74532     0.00     0.00     0.00  46.013  50.201  15.123  11.19   \n",
       "133 -201534  -78993     0.51     0.01     0.16  45.514  46.051  24.642  11.25   \n",
       "221   -2506  465768     0.85    -0.05     0.28  44.506  47.353  20.028  11.20   \n",
       "\n",
       "     li3m  \n",
       "8    1.13  \n",
       "9    1.11  \n",
       "10   1.11  \n",
       "27   1.11  \n",
       "133  1.12  \n",
       "221  1.13  \n",
       "\n",
       "[6 rows x 41 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c[c.li3m>1.1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from pandas.tools.plotting import scatter_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OjjpUr2tXGDzY+nLGj1cfU1JsE5cQWqiZPv306SgSEmRndhcy1XbbI9+5sAdr9it32Bel\nh0qIZtT0Tt1zjzp0z1rDh6vXXx05AjdvgqenbeITrsMdzgiXl5djMBgAhfDwm1qHI2zEVXocHVmH\n3KG+NsVVvnPhWhrbr5qqT3XXMRrLGvRWuQLpoRKiGbYY7geg18PQoWA0wkmZbbpNcoezcMOHd8XP\n73v8/H4gIqKz1uEIG3GVqbYdWYfcob42xVW+c+FaGtuvmqpPddcBxSXrndP3UL377rscOHAAg8FA\nYmIiffv2bXTZ3Nxc3n77bS5duoSHhwcPPfQQMTExDoxWuCNbJVQAo0erPVQHD8KwYa0vT7gWdzgj\n3KlTR6Ki1HHsQUHpGkcjbEXr64cs5cg65A71tSmu8p0L19LYftVUfaq7zurVx+wWmz05fUI1efJk\nZs6cycKFC5td9pVXXuHnP/85EydOBKCgoMDe4Qk3d/68+tOjB4Tb4ATe6NHw4YdqQrVgQevLE67F\nHWbxcof3IFyXI/c/2deFsB1L65Or1junT6iGDBkCNH+mKDU1FS8vr9pkCqBjx452jU24v1271Mcp\nU0Cna315o0erjwcPtr4s4Xrc6Yywu5+9F87JkXXIVeuru1/7JZyLNbP6NcVV653TJ1SWunjxIoGB\ngbz66qtcunSJkJAQnn32Wbp3727R+sXFxRQWFtZ7zdvbG29vb3uEK1yELYf7AQwYAAEB6jVUxcXg\n72+bcluivLyc8vLyeq8ZjUbHByJckund613xH58Q7kzqqHAk2d9UbjMpRWVlJceOHWPOnDl89NFH\n3HXXXSQkJFi8/qRJkwgMDKz3s3TpUjtGLJydotg+ofLwgLvugqoqSE21TZkttXTp0gb7+vz587UJ\nRrgc6ZkSwrlJHRWOJPubyukSqu3btzN//nwWLFjAtm3bLF4vODiY8PBwevbsCUBkZCRnzpyhsrLS\novX37NnD9evX6/0sWbLEqvcg3MP330N2NvTrB7fdZrtytR72t2TJkgb7emJiojbBCJcjM4MJ4dyk\njgpHkv1N5XRD/iIjI4mMjGzxemPGjOGjjz7i6tWrdOnShZSUFHr16oWHh4dF6/v7+9OhQ4cWb1e4\nL1v3TtXQOqEyN5RVr9drE4xwOa46vl2ItkLqqHAk2d9UTpdQmXrjjTdISUkhPz+fF198EV9fX9as\nWQPAypUr6dKlC1FRUfj4+LBo0aLaXiU/Pz9eeeUVLUMXLs5dEyohhBBCCGE7Tp9QLVq0qNG/zZ07\nt97vI0eOlKFLwiaqqm7N8Dd5sm3LDguDkBDIzITcXAgOtm35QgghhBDCcZzuGiohnEF6OuTlwZAh\ntk94dDoYNUp9fuiQbcsWQgghhBCOJQmVEGYkJ6uPth7uV0MSKiGEEEII9yAJlRBm1Fw/dc899ilf\nEiohhBBCCPcgCZUQJm7cgD171HtG2fr6qRp33aU+Hjqk3u9KCCGEEEK4JqeflEKIGpcvw+uvw+HD\n6sQOzzxjn4QnJQVKSmDcOAgMtH35AF26QO/ecOGCOjlFr1722Y4QtvLDD+eJjd1NWVkZISGV5Of7\nEhPTl1/+8i4CAvy0Dk+0QFFRCUlJGSiKQkxMP5t/f9aUb24da+PMysolISEFRVGIjx9HaKjM/CPa\nnqKiEtauPUFqag4DBwbg6+uHj493i+u8pfWwqeXs3eY4A0mohEtITYXp0yE//9Zr69bB734Hf/6z\nOtGDrXz1lfo4bZrtyjRn1Cg1oTp8WBIqd2fJP5OaZUpLS9Hp2ln1j8+efvrTjRw/HgNUAX8D+rFn\nzwnOnTvL22//UuPotGHPgwRrD2KKikoaJBOmyyQlZZCRMRSApKR0Zs+OsCihUZevv4y55OWDDw7w\n/vudAYWcnAM8++xPmn0v5mJ6663dvPWWWs7Fi7t55ZUHLfpcEhJSOHVqRvXzLbz++lS3P5gTwlRS\nUgZbt/YkL28Uhw5toWfPgUREhLB27UH0ep9G68Ot/0VGdDr45psfyc6+i9xcI7t2/YclS0aybNlx\nFEVh8eKh7N5t4PDhXEpKSigoGI2npy9lZSdYsGBMvVgaa3Nq/ucpikJ+fh5btmSi03kQFdWLjh07\noCjqMZ6Pj4/Zdsj099acjGkNSaiE07t8Ge67T02mHnsMFi1Se5GWLIHXXgNvb4iPt932ahKq6dNt\nV6Y5o0bBhg3qsL9HH7XvtoS2zP0zMfXGGzt4990CCguzuHmzB+3atefw4TTeeWeOo8M16/jxAqB3\n9W9+QGeginfeSeHttzULS1OWfK9gXeJladKzdu0Jtm7tCUBZ2QlSUw31konlyx9i7drjbN3qAyiU\nlR1HUSAtLQeAsLAyAFauTOXjj4MBhYKCVBYunNjgtU6dAhvEZJq8LF/+EP/4xwkMhmcB+Mc/PqS8\n/EaDxMjUtWt5bN68B1CYM0c9Q/bOO0fJy/t19fP3eeWVBxu83xkz+jRI6BSTcdSmCd6LL0636Dsx\nlyxakmS609n4mp5pRanio4+m0L9/H61DEhYoKiph796LZGbm4ePjD9yqE6mpBkJCogDz7dbatSdY\nt86flJRLKEo2Xl5eVFZ64u8fSmbmQbZuXYef3wI8Pdtz4sSnlJZ2IycnhPLyAIKCrtG+vS/Xrh0H\nFHx8fJg2LZRt275j375KOnb0Yt6869XbVtu41NRUzp3z4OLFEm7ePIaPz920bz+KzMzvGD68HdCN\nmzcv4OkJ+/fvYOTIbly+rCZrK1bsYePGDC5eDOWOO/pSVnaCmTPvZPHiZH78sTsQxL59ySxbNrW2\nHtqrfso1VMKpKQo8+yxcvQqPPAL/+heMHQvPPw9ffgleXpCQAJ9/bpvtFRSoCY6/v7ode5KJKdoO\n0wM8cz788HsKC2dz82Z/YBJVVU/wwQfn7B+cxYqBL6t/SoBHgceAAC2D0pQl3yvcOnA4ezaCpKQM\nq8s2V05qag55ed3Iy+tGaqrB7HqHD+eSlzeUvLwIUlNzq3v0DdU/6vKbNmVw9Wp/rl69g02bzpp9\nzVzZ5l6rqrqJTncKne4UVVUV/O1vJykqGk1R0Rj+9reTZt9venoeJSV3UFIygLS0awAUFhqB88B5\nCgtLzb7fmoTu9OkoEhJSAIiPH8fAgVsYOHALcXFjWbHiFPn5w8jPH86KFacb/SxNmSvbdD1z5Vjz\nfTur2NjdnD07h3Pn5hIbu1vrcISFkpIyCAq6l9DQcLy9/82cOR144IFMwsPTGTGia5PrpqbmcOhQ\nFqWl92M0PsL16xVUVByioGA/FRX9KCwMxGAAo9Gf8+cLycmJoLR0DJWVJVy/fgTI4fr1EWzd6sPZ\ns+pJl+PHO1JUpMNguMrRo+rJnJq2IyuriPPnyykru4ubN++ipCSzQUzZ2VfIyxuKwTCaw4dz67zP\n8/zww3jy8+8jPT2f1FQDSUkZGAyjyMi4g4yMQnJze9arh/aqn9JDJZzazp2weTN06waJidCuzimA\niRPhgw9g3jxYsAAmTICgoNZtb9cu9aa+kyeDp2frymrOyJFqN/bhw+o228npDbc1bVoo+/dv5saN\nmwQFBbF69bEGZ8YCAjzIzy8GPIEzwDkqKgq0CtmM68AR1CF/+UAu6sH4TS2D0pQ6fC4dgOjo8EaX\nszTxaq7s0tJS0tLSAIWwsHIARowIxmBQlxs5MpgZM24nIWELAHFx6lmhHj3asXHjQUBh+nQPfHx8\niIhQz0rr9eq6vXr5kZWVBkDv3up+2aVLBampHwNVdO2qmI0pPn5cg+39/Of9ee89dblf/KIfK1em\nU1Gh3ovCx+cG0PAscVVVBZADKChKJQCDBgWQnn4RgMGDO5h9v4cPGxp8dgEBfkyY0AtFUQgI8KNL\nl/bk5qrvrWtXz0Y/S1Pl5UYMBnWZvn3VnjzT79Lcd1taamzQA2gtS3rE7Kmi4ibFxep3VllZaddt\nCdtRFAVvby9GjuxBePiIer1Q6j5Vvx7X3c8GDuxA+/bfodP1QVH88PKqoE+f61y+fBIvr5/g43MH\nxcUf065dR8aO9ePMmSIuXTqGn995vLzyKC/Ppl07OHeuGFDo2LGM9u0D8PePQK834OVVSFFRCWVl\nZWRnb2bgwEIuXMihsrICnQ48PL5jwIDrREf3o2PHACCTPXsKSU9P5sKFcsLCLjJ48B70eh8qKm5S\nUXGe8vJTVFVdoLg4hNLSUgYMCCIz8zxwiQEDpgBn63029iAJlXBainJrKN8f/mA+WZo7FzZtgi1b\nYPFiWLGiddv88kv10d7XTwEEBMCAAXDqFJw5A3fcYf9tCm0kJ2cTEhJFWloOu3YZiIiIaDDU4h//\nmMjjj39ITs414EHAF/DRKuQG7r77DvbuHYeaQOUDnwEK/fu33X8jAQF+jQ7zq8vSxKu5snU6dfiL\nSj2LO2vWUHx9M6rLHkJAgB/Llz9Ub72vvvoRRQkDYPv2S2zdOrlBPH/+8z21vTBxcZMB8PEJxNdX\nvRmft/fO2vLqHpCEhgY32F5oaAgTJvQGoHv3MkaM6I7BoB6MDx8eAtBgGOKIEd1JT9fXW2bduidq\ne0WWL3/c7Ps1l0CaDpdcseL+OuXc2+hnacpcTOa+S9Pfb/UAQt2hVtYwfS9As8NMbTmk6cEHe3Dp\n0loAHngg1OpyhGM11eaYa1vq7mdhYd8yfboPX32lDv3p27eSO+/U4+v7JN98c5Ti4gwGD44iP78S\nX98jDB9+Gi+vblRUhKMocOPGMEpKsggM1JGZqcffv4rHHy/jyy9X0adPB+Li7iYpKYPLl8fQvTuE\nhR1kyJAg3n77AJ6eU3nood8yZsylBjHu2+dJcXEIBkMASUnn6N8/iIiIh7l48UfKyo4RHPwU16+X\noNNlMXjwaW6/vQwIRq8/W+8zsKY9tkTb/U8onN6BA7Bvnzqj37x55pfR6WD5cjUZWbkSnntO7fmx\nRlWV2hsG8GDDIf52MWqUmlAdOiQJlTurOWOdmVlAaGiF2WUuXPBiwYIX+OMflwLjAA/atbPRWFYb\naNcumNtuu5tr1wooKzuCh0csnp4FhIZ+pnVoTs/SxKs5Pj7eRESoB/Z6fa7FZXt4eOLvry7Tvv0x\ns+uYS4z0eh/69+8MgK+v3uJrxkx7wLp06cqoUZEAdO2qJj/qMET12qvU1C2MH9+TqCi1EezUSe0x\n6t+/D7t21b9mxzR2cwmk6Rno7t2D+eUvR6AoCt27B1fH2PCzNNWxY4cGMZn77Ex/N9cDaC1LesRM\nWfo9WSI0NJQ5c+4HICysde9FOE5L25y6+5Ver+fBB0cyYIC6fnh4OoqicPZsD6KiepCT8zkGgz83\nb3ajpKSMbt0uEhU1ibS0Y2RmFtCpUzeKi68Devz9+1NcXEZYmI7PP59IUlIGO3ZkYTQa62zPh9/9\n7gFCQ0M5e7Ym5kv14vPx8aZzZ28UJYTS0kNcvz4OgyEQyGbEiFAyM3/E378j7duXo9f7NPnebdUe\nm5KESjitxET18bnn1IknGhMaqs729/LL6oQVu3dbN+tfaipkZcGgQRBuu5MWTRo1ClavVhOqX/zC\nMdsUjldzxjo0tIyuXTMJD/dscGas5h/akCGDOX78VXQ6HfPmtXIMqw1FR/dh9eqvCQy8iYdHJQbD\n6/Tp06H2jL+wP2vPrH700RRiY1cBsHz5ZIvXMx3Ot2NHllVxTp3avUEv0siRweTmGqqfd7PpWWPT\nsswlGJZsz9qY7PleoGGPmClbDmmy19l84Vws2c9qfo+NHUd8fArQkwEDwrn99jL0+nTCwsoxGnV8\n990WBg/uyJEjuRQUpDNgQDhw1qQX7CDh4fXLb2pfi4npR0FBKps2pVBRUcaoUVPx8vIkP/8QI0eW\nYzR24LvvtjByZDeio++03wfVBEmohFO6fh3Wr1dvrvvUU80vv2iR2lP19deQlAQxMS3f5mfVJ9of\nfrjl61pLJqZoG+qesQ4P15s9O1ZzndXIkRXMm3cPQUFBTnUAM2/eaDp3rhlqtdClZy5zdS09YDbX\n02MJ016rmBg/iw6uLelFmjVrSJ2he3fa9KyxaVnmPi9LtmdtTPZ8L9CwR8yULZMge53NF87Fkv2s\n7u/Llk2tntDhbO1QY1M1s2Tm519k6tRx9U7ImOtFampfCwjwY+HCiSxcOLF2SCtAdPRUp/lfJAmV\ncEr/+hdcppb5AAAgAElEQVQYjRAdDd27N7+8Xg9Ll6q9PL/7HcyY0fJJJWpmCnRkQhURAe3bw9Gj\ncPOm/SfCENqw5ACn5jorgKCg1g3TsQc5sNKeLYdyWcPeiYK9tLVeFqmrwt4s2cfq/k9LTk63WT10\n1v1bEirhlDZsUB+ffNLydWbOhDfegCNH1OGCv/qV5euePg3Hj0NIyK1eI0fw8YEhQ9SE6uRJGDbM\ncdsWjtdUz4K9Zh4S7sMZ9xFXuOeSsx6ACeHOTNsrW9ZDZ2x3ZKJm4XSuXVOvg/L1hXtbcHlGu3bw\n17+qz+PjoajI8nXXrFEfZ850/PTlMuzP/Vly34uYmH6Eh6cTHp7eJs6ii5Zzxn3Ene65JISwHXu2\nV87Y7kgPlXA6mzdDZSXcf7+aVLXElCnqev/5j5pc/fGPza9TVQWffKI+nz275fG21qhR8NFH6v2o\n5s93/PaF/VnSsyBn0UVznHEfccZeMyGE9uzZXjljuyM9VMLpbNqkPj7yiHXr/+//qr1My5aps/Y1\nZ88eyMyEwYO1GXInPVTuzxl7FmytqKiENWvSWL36GEVFJVqH43Jc9fNrC/u2EG2BK7VBztjuOH0P\n1bvvvsuBAwcwGAwkJibSt2/fRpddu3YtX375JZ6ennh7e/PrX/+aAQMGODBa0Vo3bkByspoQPfCA\ndWUMGaLODLhiBcTF3Zp+vTFvv60+zptn3XTrrTV4sDqpxvHjUFamXlcl3Isz9izYmtYTJrg6V/38\n2sK+LURb4EptkDO2O07fQzV58mTeffddQkJCmlwuIyODzz77jOXLl5OYmMjDDz/M2zVHysJlpKRA\nSQmMHg0dO1pfTkKCmqSsWKFO9tCYM2fU2f0CAhq/ebC9tW8Pw4dDRQUcO6ZNDEK0ljMOwXAl8vkJ\nIbQkbVDrOH1CNWTIELp06dLsF63T6aisrKS0tBSA4uJigoODHRGisKGvvlIfp09vXTk9esD/+3/q\n9VHPPqtek2VOfDwoinrtUocOrdtma8iwP+HqnHEIhiuRz08IoSVpg1rH6Yf8Wapv37789Kc/Zdas\nWXTo0AFPT88W9VAVFxdTWFhY7zVvb2+8vb1tHapowo4d6mNrEypQ70f1r3/B3r3qdVW//339v+/b\nB59+qiZS//3frd9eazgyoSovL6e8vLzea0aj0f4bFm7NGYdguBL5/IQQWpI2qHWcvofKUjk5Oezd\nu5d//vOfrFu3jkcffZSEhASL1580aRKBgYH1fpYuXWrHiIWpggI4eBD8/WHs2NaXFxAA//wneHjA\nyy+ryVONnByYNUt9HhcHWndmOjKhWrp0aYN9fb5MLyiEEEIIYRWnS6i2b9/O/PnzWbBgAdu2bbN4\nva+//prbb7+doKAgAO6//35OnDhBZWNjvUzs2bOH69ev1/tZsmSJVe9BWGfXLnWI3uTJ4OlpmzLH\njoUPPlCH9f385+rQvjffVF+/dAkiI+H5522zrdYID4fAQPj+ezDpKLW5JUuWNNjXE5ubuUOIZrjS\nDFGuQD5PIURrSBviWE435C8yMpLIyMgWr9e9e3e2bduG0WhEr9dz4MABbrvtNjw8PCxa39/fnw5a\nXkQj2LNHfZwyxbblzp+vzt73X/8Ff//7rdenToUNGxx/I19z2rWDkSNh505ITYV77rHftswNZdXr\n9fbboGgTXGmGKFcgn6cQojWkDXEsp0uoTL3xxhukpKSQn5/Piy++iK+vL2vWrAFg5cqVdOnShaio\nKO6++26+//57nnnmGby8vPDx8eHll1/WOHrREvv3q48TJti+7KefhmnT1GF/V6/C3XfDww87RzJV\nY9QoNaE6dMi+CZUQ9iAzRNmWfJ5CiNaQNsSxnD6hWrRoUaN/mzt3br3fn376aZ5++ml7hyTsoKQE\njh4FX1/73Vy3d++GE1M4E5npT7iymJh+JCWlA8gMUTYgn6cQojWkDXEsp0+oRNtw8KA6tfmYMba7\nfsrVjBmjPh44oF7zpcVNhoV9FRWVkJSUgaIoxMT0IyDAT+uQbEZmiLIt+TyFLblz2yPMq9uG1FxP\nJd+//TjRgCfRlu3bpz6OH69tHFrq0QP69IGsLDh3TutohD3UjGk/ezaCpKQMrcMRQrQR0va0bfL9\n258kVMIp1Fw/1ZYTKoBJk9THr7/WNg5hHzKmXQihBWl72jb5/u1PEiqhucpK+OYbdYjbuHFaR6Ot\niRPVR0mo3JPciV4IoQVpe9o2+f7tT66hEpo7eVK999LQoeq9mNqymoSqZgp54V7kuhghhBak7Wnb\n5Pu3P+mhEpo7eFB9HDtW2zicwe23Q1gYnD+v3nhYCCGEEEI4N0mohOaOHlUfR4zQNg5noNPd6qXa\nu1fbWIQQQgghRPMkoRKaq0mohg/XNg5nUTMxxa5d2sYh7CsrK5fY2M9ZsOAzsrJytQ5HiDavZmrp\n1auPUVRUYvUyQoiWs1fdclSdlYRKaKqyEtLSwMMDhgzROhrnMHWq+rh9u3o/KuGeEhJSOHVqBqdP\nR5GQkKJ1OM2SA0nnJN+L7VgytbRMPy2EfTRWt1rbxjmqzkpCJTT1ww9QWgoDB4Jer3U0ziE8HPr2\nhcxMOHVK62iEvbjaNLZyIOmc5HuxHUvqpKvVWyFcRWN1q7VtnKPqrCRUQlMy3M+8++9XH7dt0zYO\nYT/x8eMYOHALAwduIS7O+WdkkQNJ5yTfi+1YMrW0TD8thH00Vrda28Y5qs7KtOlCU5JQmXffffDe\ne2pCtWiR1tEIewgNDWb58oe0DsNiMTH9SEpKB5ADSSci34vtWDK1tEw/LYR9NFa3WtvGOarOSkIl\nNCUz/Jk3eTJ4ean3oyouBn9/rSMStpaVlUtCQgqKohAfP47Q0GCtQ2qSHEg6J3t+L0VFJSQlZaAo\nCjEx/QDq/R4Q4GeX7QohHMO0jpvW6eb+7giu8r9HhvwJzSjKrYRq2DBtY3E2fn4wZQrcuAFbt2od\njbCHl1/ey+7dk9mz5x5eflnmyBfOx/TaBVteryWTaQihvebqdGvrfFuq55JQCc1kZkJennoz28BA\nraNxPo89pj5u2KBtHMI+zp8vwGj0x2j05/z5Qq3DEaIB02sXbHm9lkymIYT2mqvTra3zbamey5A/\noRm5fqpp0dEQGwtffCHD/tzRww/3YfXqLQBER/fWNhghzDB37YKtrteSyTSE0F5z1ye19vqltlTP\nJaESmpGEqmlBQTBtmjoxxRdfwBNPaB2RsKV588bQubN6xq7uPypnGLNuDVeNuy2w9rsxvXahZsiO\nLQ6SZDINIbQXEOBHdHQ4SUkZbNp0pkH70Nrrl2Ji+rF27UFSUw2EhnalqKjEbf83SEIlNCMTUjTv\n8cfVhGr1akmonIU1B6fbtn3NE0/s5ebNIjp18qaqSs+cObdx++3h+Ph411u2ZoiE+jzdJS7GBdeN\nuy2w5LuxZL82V86RIyeZNWsnUMmnn05nxIjBDcoqKippMAFLdnYuK1YcQVGqGDOmAwEBfayKyRxJ\n7oW7aM2+bMm6RUUl/OY32zh2bDDdu/tRVnaCBQvGNFnWtGmhJCdnmy237nJjxwaybNlxfvjhCsOG\nzSArK9ii/w3WvufGJnpyVHvg1NdQ3bhxg1deeYUnn3yS+fPn88ILL3D58uVGl//mm2+YM2cOTz75\nJHFxcRiNRgdGK1rqyBH1UXqoGvfYYxAQAP/5D1y4oHU0AqwbE/7EE3spKlqC0fgAWVmPcu3ai7z3\n3mW2bu3ZoBxXHSLhqnG3BZZ8N5bs1+bKmTVrJ1lZz5GVtbA6sWpYVkJCCqdOzeD06SgSElIAiI3d\nzdmzczh3bi6xsbutjsmW6wnhbFqzL1uyblJSBseOtefq1f5kZASSmmpotqyEhJRGy627XGzsbk6d\nmkFW1mPs2fOtTeM2x1w705ryWsrpe6iioqIYPXo0AJs2beL111/nzTffbLCc0Wjkr3/9K++88w49\nevTgnXfeYdWqVTzzzDOODllY4MoVuHwZQkLUH2Gevz/Mng1/+xskJsKf/qR1ROL8+Uu8954RUHj+\n+Tyg+Z6YGzfyUZTtwBlgKDdvpqMoeXzzzQE2b76Bj88xvv/+LP373860aaHodK4zFKrm7J/RaCQs\n7CB6vY9LxO2uzJ2NDQ4u5L/+689AFevWTTK7TF5eAZs3fw8oPPXUdbNlmRumV1ZWSFFRKlBFWVkR\nANeuXWPz5s1AFXPmBJKff4Vjx7YBCt27XwNAUaqajdvaJN2S9aQXy/IejLb+OWnJmjpQ853t3XuB\noKABeHt7NbpsaWkp5eUFFBSsA6oYNCi00TjKy29w+nQeBQVX6dTpRoNyi4pK2LfvAgZDMAMGBFFR\ncYPs7IMUFWVTVZVBWFgw0dFDauMrLS1Fp2uHj483MTH9yM7OJTZ2N9nZ15k4MYDc3EIyM78nP/86\nR4/moihVjBvXk1mzhgA0KKOoKB+DIQ1Q6Nu3rDamnTvPkJZ2ge7duxIWZr9+JKdOqLy8vGqTKYBB\ngwaxoZEpzw4ePEj//v3p0aMHAA8//DAvvPCCJFROSq6fstwzz6gJ1UcfwZIlMjmF1latOk5h4T2A\njo8/TueVVx5sdh0Pj/ZAL+AicAMooqqqgtxcL6ATpaVhvPlmMIsXR1BWpiYlrtLjU3cYWHi4DPXT\n2tq1J9i6tSdA7fCduXNTMBqXADB37ussWQIffxwMKBQUpLJw4UQOHfqRrCx1+OnBg5fMljVjRh/2\n7buIoihMndq9OumpACoBUJSbAHzzTRYZGVMAhQMHdvHjj+VUVqoHQZcubQbgo4+mEBu7CoDlyyeb\nHU5o7XVWlqwnQ1Qt+wzkc9JWc/uyuYS35jsLCupLfv6XTJjQq9F6oNO1o3377vj69iMoqBS9vths\nmTEx/di//0ugJ8OHP2i23KSkDDp1morBkEF+/iFmzOjN3/7mhU43gb59u6PX6wkI8OOjj75l69ae\nnD//HTpdCGFhHdi9exsHDmRRXPwsUMFnn71FWFg058935ejRzhiN/YAcCgpC0OlOkJpqwGAYRUXF\nZdq3D2PAgAAuXPiWsrJsAgNDGD48pDamK1fGUFISSHb2EUDf7OdnLadOqExt3LiR8ePHm/2bwWCg\nW7dutb+HhISQl5dHVVUV7do1n5EWFxdTWFh/6mJvb2+8vb0bWUO0hlw/ZbkhQ+C++9Rrqd5/H/77\nv1tXXnl5OeXl5fVek+GxlistbYdON7r6+dcWrVNS4gncAXwH3IGnZw8UZQdVVROAQOB47bKpqQZC\nQqIA1ziAcZXEr61ITc0hL29U9fND1a/W7w3atCmDq1cnVD9PYeHCiVy+XIaXl7pfX758ymxZqakG\nTp2aAUBCwhaWL38IvT6QgAB1Pb1e3V5a2jUgpPp5PiEhvnTuHAaAt7d6QNO/fx927bp13VRKyrEG\n78XaC+ItWU/2W8s+A/mctNXcvmwu4a35zry9/ZgwoVeT6/v4eNOnT1cCA3sRFGRAr68wW2ZAgB/j\nx6tD1AFGjGhYrqIoeHv7ERERQXi4DkVRGD68G3l5nfHxuXW5Tk27YjCcBnwxGgPJzvbEaNRTWlqB\nv78X7dq1w9+/PwZDKWVl5fj4KHXWN2Aw3EZeXjeKi0/TsyecPp1BWdlEevW6g6CgdDp1CqyNqX37\n9nTr5k9QUEf0el2zn5+1XCah+uSTT8jKymLx4sV2KX/SpEkNXouLiyM+Pt4u22vr5PqplklIUBOq\nv/wF5s2DLl2sL2vp0qUkJCTYLrg2Jjb2Dt57bw0Azzxzh0XrBAQYKSr6BMgHjtChQwh33RXEuXPn\nOHu2EL3ewPPP5xIenk5oaFeysuwXv63JbG3OZcSIYAwG9fsYOVK9KHv9+qk8/vjr1c/v4R//OEdW\nVhoAvXurZ2TNTeM/cGAAhw5tARQGDerAyZMN75f26afTmTXr/ernU6pj6EhBwebqGAKJi7u7Xm+U\nOY7ej2S/tewzkM/JuZlLeFvyncXE9KOs7DipqVsYObIb0dF3smnTmUaXbekU62VlJ0hNPcTIkepw\nP7jVRgUH56LT3cTD4yLdu3dl3Lg7SU5OpHt3fyZN6s+xY+no9SUUFaXh4eFJr17+TJx4A0Xpyvnz\n/Th9Op2+fa8wbpwvqak53H77VM6dM9CtWybR0VPrvL+GMTT1+VnL6RKq7du3s2HDBnQ6HY888gj3\n3Xcf69atY//+/SxbtgwvL/NjQbt160Zqamrt79nZ2XTu3Nmi3imAPXv2MGzYsHqvSe+U/ciQv5YZ\nPRoefRQ2boTf/hZWrbK+rCVLlrBo0aJ6r61fv5758+e3Msq24be/nU7fvg2nO2/KI4+EsGrVWaCK\nsWPbM3RoLwYO9MfXtwK9Pojo6JdqhxqoMxVtBhRiY8fZ6V3YTmun1RW2NWvWUHx9a/ZP9eChb99e\nPPTQABRFoW/fXvz5z71qL9qOi5sMmJ/Gv1279kB/QEGnu0J8/DgSErZUrzcWgBEjBnP69OB6McTH\nTyQ7ezeKopbv7+9H//6dURQFf3/zQ2ocvR/JfmvZZyCfk3Mzl8S05DsLCPBj5swh6PUZtclFY4lT\nTbnNDZOrKScgwM/sjIE1bZTR2AvQUVZWztGjl6ioyGXnzicIDQ2u3cauXbkYDPcD4OV1DB8f7+pZ\nBs8yeLCO6OgHCQjwq11++HCIjp5aG1NjMTT1+VnL6RKqyMhIIiMja39fv349O3fuZNmyZfj6+ja6\n3ujRo3n77be5dOkSt912G59//jn33HOPxdv19/enQ4cOrYpdWKaoCM6cgcBA6NNwplzRiLffhq++\nUqdQv+ceeOop68oxN5RVr9c3srQwZc0BxpdfVuHpGQfAd98tJTIyivx86Ny54RCD5OTs2iF/ycnp\nzJ4dbJvA7UQuWm+eIz8jc/tnzexX6nN1qN7y5Q81u97Jk/n4+0+ofn6GhQuDG6xnzrffFjJx4lPV\nz9PZt+94g+0LIVrPFgmvuWFvTZW5du1xtm71ARTKyo6zYMHYRsuxJOY1a9Lo2fNu4Nb/vJpl9u27\nQFFRHwyGNLKzB3PbbXeg0zUs257Dgy3l1NOmX7lyhQ8//JCSkhIWLVrE/Pnzee6552r/vnLlyuqZ\nhNQDwhdeeIGXX36Z2bNnc/XqVZ588kmtQhdNSFNHmjB8OOh0TS8rbgkLg7//XX2+YAF88om28QjL\nBQS0p127G7RrdwMfH48ml3W1axZkiurmaf0ZWbtPjRgRTFBQOkFB6bXDB63Znqvt00K0JS2tn4cP\n55KXN5S8vAhSU3OtLseS9WraID+/TEJDnftkndP1UNXVtWtXdu7c2ejf586dW+/3cePGMW6c8w+R\naevk+inrPfaYeh3Viy+q06lv3KheUzVoEHh6QlkZGI3qo48P9O0Lfs7dBrUJ//rXvcyalQhAYuJU\nLlxo2Th0ZyYHy83T+jMyN1TPEuaGD1rCdB+eOrW7VdsXQthfS//njBwZTG6uofr5rcng7DEr563h\ngd2ALPT6PKf9v+jUCZVwT3L9VOu88AL06AG//jUkJak/jfHwUIcHLlkCU6Y4LkZRX93rTIqKSrhw\nIaPRg2xXu2bB1RJALdjzM7JkOGFoqGVD9UzZahhNQICfDPMTwkm1tJ7PmjWkzomWO60ux5L1TP/m\nzEPMJaESDicJVevNnKlOpb5qFezYARcvQmUl6PXqj4+Peq3aiRPq33fsgPnz4b33oJF5XYSDuNt9\nXVwtAdSCPT8jd9ufhBDOTcs235nbO0mohEOVl8PJk+oB/4ABWkfj2jp1guefV38aYzTCypVqD1Vi\nIuTkwP/9H7SXmq8ZrYd/Cfci+5MQoq1w5vbOqSelEO7nxAmoqIChQ+Wg3hH0evjVr+Dbb9VJLTZv\nbjoBE/YXE9OP8PB0wsPTZYicaDXZn4QQbYUzt3dySCscSob7aWPAAPjPf+AnP4H334f774cHH9Q6\nqrZJhsgJW5L9SQjRVjhze2fzhOrYsWPs2LGDq1ev0qVLF6ZNm9bghrmi7ZKESjtDhsBbb8HTT6vX\nU506pd4LTAhLHDlyklmzdgKVfPrpdEaMuDXJhrNeJGxrpu8V0Py9W/L5O2PcQgjHMddO1H1NvVlu\ndrNtgjXrtBU2HfK3ceNG4uLi0Ov13HXXXfj6+hIXF8fGjRttuRnhwiSh0tYvfwn33gv+/vDjj1pH\nI1zJrFk7ycp6jqyshdWJlUrreyw5kul7dYb3bkkMzhi3EMJxzNX5uq8lJKRY1CZYs05bYdMeqvXr\n1/PXv/6V/v371742ffp0XnrpJR599FFbbkq4oMpK9aa+Hh5qb4lwPJ0OVq+GDh3UiUGEsFRp6XWK\nigyAgtFYVPt6zUXC5eUl7Nt30a3PVlpyw1pLeoyysnJJSEhBURTi48cRGmrZTXPNlW0agyXLWHph\nd1vqfRTCWbW2HhYVlbBv3wUMhmAGDAiqfb1+O9B4m1B3+0ZjmUXrWBK/te2gs7JpQnXz5k369OlT\n77XevXtTUVFhy80IF/XDD1BaCnfeqU6WILQR7NptltBIYWEhsAeA69cLal+fNi2U/fs38/331xgx\n4jHOnvVzuulsrWHuIMD0flJFRSXs378ZUIiNVW8qb8m0vgkJKZw6NaP6+RaWL3/IooMmc2WbxmTJ\nMjV/q/u7Oc48RbEQbUVz9bC5tiMpKYNOnaZiMGSQn3+I6OipQP3748XGjiM52XybUHf7YWHfEh7e\n9Dqm8TQWf9128OWXN3HPPeEuffLGpgnVE088wQcffMD8+fPR6/UYjUYSExP52c9+ZsvNCBclw/2E\ncF3l5X7A49XPv699PTk5m5CQKAyGY5w7V0REhOv9IzTH3EGA6QXRSUkZhIREAZCcnM7s2cEW9f6Y\nW8aS5MXceqYxWbIMYFFy5MxTFAvRVjRXD5trOxRFwdvbj4iICMLDdbXJimm7MHu2+bOtdbev1+ub\nXcc0nsbir/v6+fOF3Haba5+8sfmQv+vXr/PZZ5/h7+9PcXExOp2OwMBA1q9fX7vcv//9b1tuVrgI\nSaiEcF1TpnRi+/aVAEyd2nDYyIAB/cjP30l4eC+nm87WGtYmRuZ6g0zFx48jIWELAHFxYy3eniVl\nW7KMpWxZlhDCOs3Vw+bajtbW45aubxpPY+vXbQcHDuxFfn6LQ3MqNk2oXnnlFVsWJ9xMTUI1YoS2\ncQghWi4x8WckJKQAt5IAMP1nOdUlh2qYY23yYsm0vqGhwSxf/lCLt2dJ2bacVtiZpygWoq1orh42\n13a0th63dH3TeBpbv247qA4TdO2TNzZJqDZv3tzsMlFRUbbYlHBRigJHjqjPZRZ9IVyPuSQA3Peg\nW5IXIYQrcLa2w5p4nO09WMMmCdXOnTub/LtOp5OEqo3LzIT8fLj9drn3kRBCCCGEcB82SajefPNN\nWxQj3JhcPyWEEEIIIdyRTW/sK0RjJKESQgghhBDuSBIq4RA110/JhBRCCCGEEMKdSEIlHEJ6qIQQ\nQgghhDuy6bTptnbjxg1effVVLl68iLe3Nx07duT5558nLCyswbLnz5/nrbfe4vr163h4eDBgwAB+\n85vf4OXlpUHkoq4rV+DyZQgJUX+EEM3f3V4IdyH7uhCiMe7SPjh9D1VUVBSrV68mMTGRn/zkJ7z+\n+utml/Py8uL555/n448/5u9//ztGo5G1a9c6OFphjvROCdFQzd3kz56NICkpQ+twhLAb2deFEI1x\nl/bBqRMqLy8vRo8eXfv7oEGDMBgMZpcNCwujT58+gDpN+4ABA8jJyXFInKJpcv2UEA01d3d7IdyF\n7OtCiMa4S/vg1EP+TG3cuJHx48c3u5zRaOSLL75gwYIFFpddXFxMYWFhvde8vb3x9vZucZyiPumh\nci7l5eWUl5fXe81oNGoUTdvV3N3thXAXsq8LIRrjLu2DyyRUn3zyCVlZWSxevLjJ5SoqKnj11VcZ\nPXq0RclXjUmTJjV4LS4ujvj4+JaGKkzU9FBJQuUcli5dSkJCgtZhtHnucGd4ISwh+7oQojHu0j44\nXUK1fft2NmzYgE6n45FHHuG+++5j3bp17N+/n2XLljU5yURlZSV//OMf6dKlC88991yLtrtnzx6G\nDRtW7zXpnWq969chIwM6doTqEZlCY0uWLGHRokX1Xlu/fj3z58/XKCIhhBBCCNfldAlVZGQkkZGR\ntb+vX7+enTt3smzZMnx9fRtdr7KykoSEBDp06NDgYNES/v7+dOjQwaqYReNqhvuNGAE6nbaxCJW5\noax6vV6jaIQQQgghXJvTJVR1XblyhQ8//JDQ0FAWLVqEoih4eXnx/vvvA7By5Uq6dOlCVFQUu3bt\nYv/+/dx+++3Mnz8fnU7HnXfeycKFCzV+F21bzXC/kSO1jUMIIYQQQgh7cOqEqmvXruzcubPRv8+d\nO7f2+bRp05g2bZojwhItkJqqPkpCJYQQQggh3JFTT5suXJ9MmS6EEEIIIdyZJFTCboqK4PvvoUMH\n6NtX62iEEEIIIYSwPUmohN2kpYGiqNOlt5M9TQghhBBCuCE5zBV2I9dPCSGEEEIIdycJlbAbuX5K\nCCGEEEK4O0mohN1ID5UQQgghhHB3klAJuygthVOnwN8f+vfXOhohhBBCCCHsQxIqYRdpaVBVBcOG\nyYQUQgghhBDCfTn1jX2F6zp8WH2U4X6uq6iohKSkDBRFISamHwEBflqHJIRwAdJ2COFapM62nvQd\nCLv49lv1ccwYbeMQ1ktKyiAjYyhnz0aQlJShdThCCBchbYcQrkXqbOtJQiXsIiVFfZSEynUpiqJ1\nCEIIFyRthxCuReps68mQP2FzV6/C2bPQpQv06aN1NMJaMTH9SEpKByA6OlzjaIQQrkLaDiFci9TZ\n1pOEStjcwYPq49ixoNNpG4uwXkCAH7NnR2gdhhDCxUjbIYRrkTrbejLkT9icXD8lhBBCCCHaCkmo\nhM3J9VNCCCGEEKKtkIRK2FRV1a0hf6NGaRuLEEIIIYQQ9ibXUAmbOnMGCgpg4EDo2FHraERryH0p\nhDRNN/8AACAASURBVBBtibR5wlXJvqs96aESNiXD/dyH3JdCCNGWSJsnXJXsu9qTHiphU3v3qo8/\n+Ym2cYjWKy0tJS0tDVAICyvXOhwhhMbc/Sy43ItHuCpn2nfdvZ1ojFMnVDdu3ODVV1/l4sWLeHt7\n07FjR55//nnCwsKaXO+1115j+/btbN68GT+/tvFFOouvv1YfJ07UNg7RemVl5WRmlgMKRqPMfy9E\nW1dzFlx9nm7xNMuucoAl9+IRrqqpfdfR9c/adsLVOXVCBRAVFcXo0aMB2LRpE6+//jpvvvlmo8vv\n3buX9u3bo5MbIDlcTo56DVVwMPTvr3U0orVOnizE338GAN99t0XjaIQQWrP2LLirHGDJvXiEq2pq\n33V0/XOm3jJHcuprqLy8vGqTKYBBgwZhMBgaXT4vL49PP/2U5557zq2/UKMRrl5VZ9RzJjXD/e6+\nW27o6w5GjgwmKMhAUJCBkSO7aR2OEEJjMTH9CA9PJzw8vUU9OO78/1gIZ+fo+mdtO+HqnL6Hqq6N\nGzcyfvz4Rv++bNkyYmNj0ev1LS67uLiYwsLCeq95e3vj7e3d4rLsQVFg7Vp4991bEz907AiPPAIv\nvwx9+mgbH8hwP1dRXl5OeXn9a6KMRmOD5WbNGoKvr3pxa3T0nQ6JTQjhvKztwZGhdEJox9H1r632\n9LpMQvXJJ5+QlZXF4sWLzf79iy++oFu3bgwbNsyq8idNmtTgtbi4OOLj460qz5by8+FnP4Pt29Xf\nAwKgUye4dAlWrIB//lNNtObP1zZOSahcw9KlS0lISGh2ubbaKAohbEvaEiG0I/XPMZxuyN/27duZ\nP38+CxYsYNu2bQCsW7eO/fv385e//AUvLy+z6x07dowDBw4wa9YsZs6cCcC8efPIyLBs+sg9e/Zw\n/fr1ej9LliyxzZtqhatXYcIENZm67TZYvx6uXYOLF+HHH+FXv4LycliwAP7wB7UnSwv5+XD8OHTo\nAEOGaBODsMySJUsa7OuJiYlahyWEEEII4ZKcrocqMjKSyMjI2t/Xr1/Pzp07WbZsGb6+vo2u99JL\nL9X7fcqUKaxYsaLJdery9/enQ4cO1gVtJ6WlMGMGfPcdjB4NW7ZA1663/h4aCu+/D5GR8MQT8Oqr\n4OsLv/ud42P9+ms1mZswATw8HL99YTlzQ1mtGSYrhBBCCCGcMKGq68qVK3z44YeEhoayaNEiFEXB\ny8uL999/H4CVK1fSpUsXoqKiGqyr0+lc/kLY3/wGvv0WBg+G//wHgoLML/fww/DZZ2ry9fvfw6BB\n8NBDjo31q6/Ux2nTHLtdYV9ZWbkkJKSgKArx8eMIDQ3WOiQhRB2WTInsKtOWCyFcS03bUlpqRKcD\nHx+fNtvGOHVC1bVrV3bu3Nno3+fOndvo35KTk+0RksNs2AB//7t6vdRnnzWeTNW491547z145hn4\nxS8gLc2xE1XUXN9Vp3NRuIGEhBROnZpR/XwLy5c7OFMXQjTJkimRXWXaciGEa6lpW9LScgADERER\nbbaNcbprqIR6jdSvfqU+X74c+va1bL3YWPjlL6GoCObMgcpK+8VY14UL6v2nQkPV3jHhPly9l1cI\nd2dJHZV6LISwB2lbbpGEygktWaJORhETA9Xza1jsrbfg9tvVe0I1cf9jm6oZ7hcZKfefcjfx8eMY\nOHALAwduIS5urNbhCCFMWHLPl7Z6XxghhH3VtC0PPJDJAw+Utek2xqmH/LVF334LiYnq5BJvvdXy\n9QMCYPVq9ea6f/gD/PSn0Lu3zcOsR4b7uaeiohKSk7MZP75nmx0TLYSzM50S2dz1UjJtshCiKdZe\nZyltyy2SUDkRRYEXX1Sf/+EP0LOndeWMH68O//vwQ/iv/4LPP7dfz9HNm7Bjh/p86lT7bEM4Vk3D\n+tFHX7BvX29AYffub1ix4tkml5cL3oVwPNP6t3btCbZuVf95lJWdYMGCMQ2WOXPmArNm7QQq+fTT\n6YwYMdjsBDS2qtvSRgihvZp6mJdXwLFjBjw9vVm8eCjfflvIzp0ZXLkymps3b/Lhh5/g7d2eyMgQ\nOnfugo+PN9OmhZKcnC2T3zRBhvw5kS+/VKcfDwuDhQtbV9af/wzBwepU6599Zpv4zPn6aygogLFj\n1e0J11dzkem+fTeBJ4CZrFyZ1ezyZ89GkJRk2X3fhBC2YVr/UlNzyMvrRl5eN1JTDWaXmTVrJ1lZ\nz5GVtbA6sbo1Ac3p01EkJKSYXc9WMQohHK+mHq5a1Y0DB/px+nQUsbG7qyeVCOLMmfakpd3gxIlB\nnD07l+XLc9m6tSdnz0aQkJDSbB1u6/VceqicRFWVOuU5QFwctPa2QJ06wbJlMHu2mpxNnw5+djhZ\nkJSkPsbE2L5soY3SUmP1jD0lwDFAAUobXV4uShXCMcydATatf336ePPll9sAePBB9X5zpsvcvGmk\ntPQqABUVZQCUl5djMBgAhfDwm2bXs/Y2CqWlpaSlpQEKYWHlLXrPQgjbuFWf69Zr9Xn37j3Jzj5E\nefkVqqqmmCyvLldefoMTJ3L5+utUrl27hq+vHz4+3o22RaZTqiuKgk7XrkGPV2O9X67W4yUJlZP4\n97/h6FHo3x+amA2+RX7+c/jHP2D3bvjTn9ReK1tSlFsJVXS0bcsW2lGHhxpQO7DzAR1Q1ejyMTH9\nSEpKB2izF6MK4Qjmpj83rX8LF36Pt3c/AE6fPgM0rKNJSd+SlbULgIiIQACGD+9Kevr31a91Nrve\n4sXJVt1GQadrB3Sr/i3T2rcvhGiFmvr81FPXOXo0By+vS/z2t/f8f/buPS7KMv//+Gs4DQdRQUWB\nRC3PlihY6eampllt0Uq1tVmubb+QttpybbPshGy7sVnu5q5uaa1medh0S1rd1O2Lh8yyFBPNPIRn\nBUGFlLMK8/vjFuQwwDDMMAO8n48Hj5m557qv+zMw98V85jrcfP31TsLDi4EQiooC2bbtG44f38At\nt3QhOPgofn7ZxMcPIzFxLRkZbfH1/QXvv7+eiIh+REZ2qbUtqr6kuqEzkZFd2Lx5JV26GNeQrXy/\n8pLrze1yD0qo3EBZGfzhD8b9P/wBvBz0VzGZjGtTDRoEb7wBDz1kJGyOkpoKx49Dv36OrVdcy9fX\nl8jISD75JAUYDvjg5fV5reU1KVWkaVjrDa5+/nl7m+nc2Xjs43PMapkOHTpz7bXGB5iOHVcBEBTU\nnpgYo0xw8E6r+9nbG+3rayYysgsAfn7ZdtUhIo1T2/9qWz+/3XBDBFlZncnJCaBqL5f1+mu2F5ZK\nz2H1fpXSzWz0ixIqN/Dpp7B7N/TpA7/4hWPrHjAAnnrKGP7329/CmjWOW6Diww+NWw33a1nKv2V6\n9FF/3n33VcDEggVRrg5LpNWzpTd4+vRhJCYaSVJtlzqwVsZRddsbt4i4t9jYXhQXf0dq6lb692+L\nn5/Re1XX5RqSk8t7v8qTo/Ier6GkpBhtQuX7letqbu2GEio38Oc/G7dTp4KHE5YJSUiAJUuM5c1X\nrIC77mp8nRcvwqJFxv0HHmh8feI+yr9lmjAhkrfecnU0IlLOlt7gsLCQeofiWSvjqLqtUS+2SPMX\nGBjApEnXN6h8Xef9hAkhVu/bur+70Sp/LvbFF7B5s7Gyn7MSk8BAo4cKYPJkKChofJ0pKXDyJERH\nQ//+ja9PRERERKQ5UkLlYuW9U1OmgNnsvOP88pcwYgQcO+aYxSk++MC4nTCh8XWJiIiIiDRXSqhc\naOdO+O9/jSXO4+KceyyTCebMAU9PeP112L/f/rpOnTJWJfTygvvvd1yMIiIiIiLNjRIqF5oxw7h9\n4gljWJ6zlS9QceGCsUCFvQuozJsHJSVw3326mK+IiIiItG5KqFzk0CH417+MC/g++WTTHTchAUJD\nLy9Q0VDnzxs9XWAkZyIiIiIirZkSKheZORNKS42hfh07Nt1x27Y1rkkF8LvfQV5ew/afPx8yM+En\nP4Frr3V8fCIiIiIizYkSKhc4dcpITDw9jcUomtr998OoUXD0KDz+uO37FRXBK68Y98svRCwiIiIi\n0prpOlQuMHu2kZw88AB069b0xzeZ4L33YNAgY7W+m26Chx6qf79XXoGMDCMZGz3a2VGKq+XlFZCc\nnI7FYiE2theBgQGuDklEHEDntohUpjah8dw6oTp//jyvvPIKR44cwWw20759eyZPnkx4eLjV8tnZ\n2cyaNYtjx47h6enJnXfeSWxsbBNHXbeCAiOhAnjmGdfFERFh9JLFxsKjj8KVV8KNN9Zefvt2Y3VA\nb2/429+aLk5xneTkdNLTB166v7NZXWBPRGqnc1tEKlOb0HhunVABxMTEcN111wGwYsUK3njjDf76\n179aLfvSSy/xwAMPcOOlzODHH39ssjhtNX8+5OTArbdCpIvfr+PGwUsvGT1Pd94Ja9fC9VYugp2V\nZZS9eBFefhmuvrrpY5WmZ7F3GUgRcWs6t0WkMrUJjefWc6h8fHwqkimA/v37k5WVZbVsamoqPj4+\nFckUQPv27Z0eY0NcuGAsRgEwdaprYymXmAiPPAJnz8LIkfDuu1BWdvn57783eq6OHYNbbjESKmkd\nYmN70bPnTnr23Mm4cT1dHY6IOIjObRGpTG1C47l9D1VlH330ETfccIPV544cOUK7du145ZVXOHbs\nGF26dOE3v/kNoaGhNtWdn5/PuXPnqmwzm82YzeZGx11u+XI4csRYHW/kSIdV2ygmE8ydCx06wGuv\nGasOzpgBI0bAyZOwZo3RM/XTn8KHHxoLaUjzVlJSQklJSZVtRUVFNcoFBgao21+kBdK5LSKVqU1o\nPLfuoaps0aJFZGRkEBcXZ/X50tJSduzYwcSJE5k3bx5DhgwhMTHR5vpHjBhBu3btqvwkJSU5Knws\nlssX8p061Uhk3IWHB/z5z/Df/0KfPvDDD0ZP1apVRgI1dapx3ap27VwdqThCUlJSjfd6beeViIiI\niNTN7Xqo/ve//7F8+XJMJhN33XUXt956Kx9++CGbN29m5syZ+Pj4WN0vJCSEnj17EhERAcDYsWOZ\nNWsWpaWleNrQrbJx40YGDRpUZZsje6dWr4a0NOjZ01gIwh397Gdw222Qmgr79hnXrBo+HIKCXB2Z\nONK0adOYUm29/mXLlimpEhEREbGD2yVUY8eOZezYsRWPly1bxrp165g5cyb+/v617nf99dczb948\nTp8+TceOHdmyZQvdunWzKZkCaNOmDW3btm10/NZYLMZcJYDnnnPvYXMmEwwZYvxIy2RtKKufn5+L\nohERERFp3twuoars1KlTvP3224SFhTFlyhQsFgs+Pj7MmTMHgAULFtCxY0diYmLw9fVlypQpTJs2\nDYCAgABeeuklV4ZfYc0a+OYb6N4dfvUrV0cjIiIiIiKO4tYJVadOnVi3bl2tz//617+u8jg6Opp3\n3nnH2WE1iMUC06cb91980biOk4iIiIiItAzNZlGK5kq9UyIiIiIiLZcSKicqK4PnnzfuP/+8eqdE\nRERERFoaJVROtGgR7NhhLEX+0EOujkZERERERBxNCZWTFBXBCy8Y92fMUO+UiIiIiEhLpITKSf7y\nFzh+HEaMgJgYV0cjIiIiIiLOoITKCQ4dgj/9ybim0xtvGLciIiIiItLyKKFyMIsFHn/cGPL3m9/o\nArkiIiIiIi2ZEioHW7YMVq+GLl3g1VddHY2IiIiIiDiTEioHOn7c6JUCmDUL2rVzbTwiIiIiIuJc\nSqgcpKzMuHBvbi488ADce6+rIxIREREREWdTQuUgCQmwfj106wZz5rg6GhERERERaQpKqBxg6VL4\n4x/Bxwf+9S8N9RMRERERaS2UUDXShg3w8MPG/XffhaFDXRqOiIiIiIg0ISVUjbBpE9x+OxQXwwsv\nwIQJro5IRERERESakhIqOy1fDmPHQmEhTJ4Mr7zi6ohERERERKSpKaFqoAsX4KWXjFX8iovhuefg\nL38Bk8nVkYmIiIiISFPzcnUAzUlaGjzyCGzbBl5eMHfu5flTIiIiIiLS+iihskF6urGK3/vvg8UC\n/frBBx9AdLSrIxNxnry8ApKT07FYLMTG9iIwMMDVIYlINTpPRcSR1KbYx60TqvPnz/PKK69w5MgR\nzGYz7du3Z/LkyYSHh1stv3TpUtauXYu3tzdms5knnniCvn372nXsggJYuxb++U9YvdpIpAIC4Jln\nYOpU8PNrzCsTcX/Jyemkpw+8dH8nEyZEujgiEalO56mIOJLaFPu4dUIFEBMTw3XXXQfAihUreOON\nN/jrX/9ao1x6ejqffPIJCxcuxGw289lnnzFr1izeeuutBh1v/Xr429+MZKqoyNjWrh38+tdGIhUa\n2uiXJNIsWCwWV4cgIvXQeSoijqQ2xT5unVD5+PhUJFMA/fv3Z/ny5VbLmkwmSktLKSwsxGw2k5+f\nT0hISIOPefgwJCcbc6TGjoV77oH774c2bex9FSLNU2xsL5KTdwIwblxPF0cjItboPBURR1KbYh+3\nTqiq++ijj7jhhhusPnfVVVdxzz33MH78eNq2bYu3tzezZs2yue78/HzOnTvHqFEwbx7ccgt07mzG\nbDY7KnwRt1BSUkJJSUmVbUXl3bGVBAYGqKtfxM3pPBURR1KbYp9ms2z6okWLyMjIIC4uzurzJ0+e\nZNOmTSxevJgPP/yQu+++m8TERJvrHzFiBO3ataNHj3ZMmtSObt3akZSU5KjwRdxGUlIS7dq1q/JT\n23klIiIiInVzux6q//3vfyxfvhyTycRdd93FrbfeyocffsjmzZuZOXMmPj4+Vvf7/PPPufLKKwkO\nDgbgtttu4+9//zulpaV4enrWerycnBwApk6dSq9evao85+3tzeLFix30ykTcQ48ePXjnnXeqbFu9\nejUff/wxS5YsYc+ePS6KTMR1/vvf/wLoHJBWTeeBCOzbtw+4nCPYwu0SqrFjxzJ27NiKx8uWLWPd\nunXMnDkTf3//WvcLDQ1lzZo1FBUV4efnx5dffknXrl3rTKYAvvrqKwBmzJjhmBcg0ozNnDnT1SGI\nuJTOARGdByJg5AhDhw61qazbJVSVnTp1irfffpuwsDCmTJmCxWLBx8eHOXPmALBgwQI6duxITEwM\nP/3pT9m3bx+PPvooPj4++Pr68uKLL9Z7jGHDhvGf//yHRYsW0a9fP2e/JBG39Mknn/CHP/xB54G0\nWjoHRHQeiADs2bOHBx98kGHDhtm8j1snVJ06dWLdunW1Pv/rX/+6yuNHHnmERx55pEHHKB8i2K9f\nP6KiohoepEgLUD60Q+eBtFY6B0R0HohUVp4j2MKtEyoRaZy8vALmzNnIe+8dICDgPHv2bKCoaBBQ\nxsSJF3jvPQ11FWnO8vIKSE5Ox2KxEBvbi8DAgHrL5OUVkJi4BYvFwvTpwwgLC7Faz/79h4iP34DF\nUsa8eTcRGhpSb5nevXvU2AbUKJORkV0lBqBGTNZU36+2cuIYtry/pPkp/7sWFhZhMoGvry+xscY6\nAkuX7mLbtmwGDGgHlLFjxxnAxNChYYwfP7DiPVD5vTFmTBirVh3iq68OU1BQwrFjZ/H09GLs2K4c\nOlSIxeLB4MEdCAoKqvI+ql5HSkpmxXsNsPreq2sfa2Wa6n2rhEqkBUtOTuftt7PIyXmcgoJdlJX9\nCCQCFhYunM5777k4QBFplOTkdNLTB166v9PqcsfVy3zxxRH27LkDgMTEVcyde6fVeuLjN3DgwEQA\n4uMX8vDDUfWWWb++R41tQI0yiYlbqsQA1IjJmur71VZOHMOW95c0P+V/17S0k0AWkZGRFdee+vRT\nX3Jy7mDbtv3AfgoKbgACyM09iL9/esV7oPJ7Y/PmlWRlXcuePT6cPBnAxYulmM3F7NlTQseOZuAq\ndu7cQEzMyCrvo+p1dOkSc2m7EYu1915d+1gr01Tv22azbLqINJzFYsFiKS1/BJS5MhwRcTCLxdLg\nMtb2sb6trMFlrO9nrUz9MVljazlxDP2+W6ba/q7G9srPVX9cWx2WarfVt9cfR/WQ6o7R+j717etM\n6qESacFiY3uRkZHBe+/NoU2bC3z//U6KihIAmDixpJ69RcTdxcb2qvg2d9y4njaVGT06tKJXKCFh\naK31zJt3U0UP09y5Iy8N+au7TG3bqj+ePn1YjRiqP7bG2n7iPLa8v6T5Kf+7hocXAxb8/HZW/H2L\ni3eRmrqKAQPaY7G0JS3NWA176NBwxo27pkYdAPHxw1i16hBBQUcoLKw65O/gwQJMpoNERgYTHLyz\nyvuoah1DSUmp+l6z9t6rb5/qZZrqfauESqQFCwwM4Fe/GsKhQxc5cuQIRUURGN8YXeCGG6JdHZ5I\nq2RtfH/1bVBz/kBd8wIa0lMVGBjA8OHdsFgsVeYcfPHFESwWC6NHhxIYGEDv3j1Yv75HlbirH6t6\nmarHM3qmQkNDePjhKCwWC6GhIdXKGHWFhYXYNHzP1nL20HyhmgIDAzTMrwWq6+86adLlLyoa0lb5\n+pr5059G8u9/72XFinRCQ71p2zaAUaPCq5RbsmQnJSUX2L07l379AvH3D8DX12w1pnHjejJ//jf8\n7GeLAA9+9rNwOnTogK+vuSKeCRNCKmL94IO0iria+n2rhEqkhSufc7B58+pLWx4HCnj00deJi3Nl\nZCKtk7Xx/dW3Qc35A7bsZ8scKmt12zI3ydZ5CbbMvXLHuVCaLyRSVUPbqs2bV7J1a29Onx7Onj2f\ns3cvxMREVimXlpbG0aNBtGkznK1bVxER0Y/IyC5Wz7nk5HQWLszj8OEYIJhjx5IZNGiw1fKuPn81\nh0qkhbv8bbLmT4m4A1vmMNk+z8l5c6jsKWOUs2XulfvNzXHHmERcqeFtVeU5V7WVq72M9WOVVXts\ne6xNST1UIi1c+ZyDgIBjrFmzF0gALvL224NcHZpIq2RtfL+1bbaUsWcOlbW6bZmbZOu8BFvmXrnj\nXCjNFxKpqqFtVXz8sEtD/rYQHu7DtdeGV5k3ZczbKqG4OI/du3+gf/+2+Pkdxc8v2+o5Fxvbi9zc\nXP7975WYTJ787GfhBAdbL+/q89e0fv36Vv2VzP79+4mPjyc1NVUXsZNWa/HixTz44IM6D6TV0jkg\novNABGD79u1ER0czd+5cevfubdM+GvInIiIiIiJiJyVUIiIiIiIidlJCJSIiIiIiYiclVCIiIiIi\nInZSQiUiIiIiImInJVQiIiIiIiJ2UkIlIiIiIiJiJyVUIiIiIiIidlJCJSIiIiIiYiclVCIiIiIi\nInbycnUAddmyZQsLFizg0KFD/PznP+fxxx+vtezevXv5+9//zoULFzh//jy33norv/zlL5swWhER\nERERaW3cOqHq2rUrzz77LBs2bKCoqKjOsjNnzuThhx9m2LBh5OXlMXHiRH7yk58QERHRRNGKiIiI\niEhr49YJVXh4OACbNm2qt6zJZCI/Px+AoqIivL29CQwMdGp8IiL2On8eVq6E77+H7t1h3Dhw9ybr\n8GHYtQvCwmDwYPDQoHERERH3TqgaYurUqbz44ov885//5OzZs0yZMoWgoCCb98/Pz+fcuXNVtpnN\nZsxms6NDFXGpkpISSkpKqmyrrwdYHGv/frjzTti37/K2sDB47z24+WaXhVWrnBz47W9hyZLL2yIj\n4YMP4JprXBeXiIiIO3BpQvXEE09w4sSJKtssFgsmk4l58+bRqVMnm+taunQpkyZN4qabbiIzM5PJ\nkyfTp08fm4f8jRgxosa2hIQEpk+fbnMMIs1BUlISiYmJrg6j1TpyBIYPh1OnjF6eu+6C9eth3Tq4\n/Xb46COIiXF1lJdlZcHo0bB7N7RrB2PGQFqa8TN8OGzcCIMGuTpKERER13FpQjV79myH1HP27Fk2\nbdrESy+9BEBoaCj9+vVj165dNidUGzduZFC1TwXqnZKWaNq0aUyZMqXKtmXLlhEXF+eiiFqP0lL4\nxS+MZCo2Fv71L/DxgRdegKQk43b8ePjmG+jXz9XRwoULcPfdRjJ1/fWQnAxduhjbH30U5s83kr9d\nu6B9e1dHKyIi4hotYgR8YGAgfn5+fPvtt4CRYO3du5cePXrYXEebNm1o27ZtlR8lVNISmc3mGu91\nPz8/V4fVKsybB1u3Qt++xnA5Hx9ju8kEzz9vJCn5+fDAA3DxomtjBUhIgM2boVcvWLvWSKYAvL2N\n1zJ2LBw/DpMnuzZOERERV3LrhGr79u3ce++9LF++nNWrV3Pffffx1VdfAbBv3z6mTZsGgIeHBwkJ\nCbz99tvExcUxefJk7rnnHvr37+/K8EVEKpw9Cy++aNyfMwcCAmqWefNN6N8fvv0W/va3po2vul27\n4PXXjeTpo4+M4X6VeXoaPVSBgbBwIWzf7po4RUREXM2tF6WIiopi2bJlVp/r06cPSUlJVcrOnTu3\nqUITEWmQuXONxR1iYuCmm6yXMZuNcj/9Kbz8Mjz4IISENG2cABYLPPaY0Uv24ou1LzwRHg5Tp8JL\nL8Fzz8H//te0cYqIiLgDt+6hEhFpCUpKjN4nMIb21WX4cCORKigw5lW5wurV8MUX0K1b/fH+7ndG\n0vfZZ0bPmoiISGujhEpExMmSkyEz00iWhg6tv3xiInh5wT/+AUePOj++yiyWy0MTX34Z6pteFxBg\n9GbB5aRRRESkNVFCJSLiZAsWGLfx8baVv/JKeOQR4+K/M2Y4Ly5rVqwwepp69oRf/cq2fX7zG2OB\njaVL4eRJ58YnIiLibpRQiYg40YkTxnC4wEBjqXRbPfvs5YUfTp92XnyVWSzw5z8b9xMSjF4yW4SE\nwC9/aSynvmiR8+ITERFxR0qoREScaNEiKCuDe++1vrJfbbp3N/YpKjKG/jWFzZuNZd27doX77mvY\nvg89ZNwuXGgkZiIiIq2FEioRESf6+GPjdvz4hu/7zDPG7d//DoWFjoupNn/5i3H75JPGcukNMWIE\nRETAd99BWprjYxMREXFXSqhERJzkxAn45hsIDoYbb2z4/oMHw5gxxpC/9993fHyVpacbi2e0i0lu\nHQAAIABJREFUaQNxcQ3f38MDJkww7mvYn4iItCZKqEREnOSTT4zbmBjb5yNV9/TTxu2bbxpDB51l\n1ixjqN4jj9S8iK+t7r3XuF2xQsP+RESk9VBCJSLiJMnJxu24cfbXccst0K8f7NsHa9Y4Jq7qfvzR\nWInQw8MY7meva64xVig8eBB27XJcfCIiIu5MCZWIiBPk5cH69eDrC2PH2l+PyWRcPBcuz3FytAUL\njAsJjxsHPXrYX4/JBHfdZdwvnzsmIiLS0imhEhFxgo0b4eJFY7EGf//G1fXgg9CxI6SkwM6djomv\nXGkpzJ5t3P/tbxtfX/nS8CtWNL4uERGR5kAJlYiIE/zf/xm3Y8Y0vi4/P3j0UeP+m282vr7KVq82\nhuhdc42R/DXW0KHQpYuR+B082Pj6RERE3J0SKhERJyhPqG6+2TH1PfaYsZT54sWQleWYOgH+9jfj\n9sknjSF7jeXhAXfcYdx31pwvERERd6KESkTEwTIyYPdu6NTJ6PlxhNBQuP9+OH/ecRf63bMHPvsM\ngoLsu05WbW691bhVQiUiIq2BEioREQdLSTFuR482emwcpXxxirfeguLixtdXPncqLq7x87wqGz0a\nPD1h3TojARQREWnJlFCJiDhYeULliPlTlQ0aBKNGwalTxtC/xjh7FhYuNBK+xx5zTHzl2rc35lIV\nFMDmzY6tW0RExN3YealJEfvl5RWQnJyOxWIhNrYXgYEBLqmjvvocfQxpPTZtMm5HjnR83b/7nbEc\n+1//Cg8/bP+8p3nzjIQnNha6dXNsjGAM+9u8GdauNZJAqVv19gawq/1xZrulNlGk6dl73tm6X3m5\nwsJCTCYPfH3NOr/toB4qaXLJyemkpw/kwIFIkpPTXVZHffU5+hjSOmRmGqvbdeliXOTW0W6/HXr1\nMuZoffaZfXUUF1++ptXUqY6LrbJbbjFuNY/KNtXbG3vbH2e2W2oTRZqes9uC8nKrV/vx6acROr/t\npB4qaVJ5eQV88cVhsrJCuPLKQL744ojVb09q+2alfPumTYcJDu6L2ezjkLgsFotN20TqUz7Ebfhw\nx6yaV52HBzz1FDzxhNFLZc9Fg99/H06eNJZJHzrU8TECREdDhw6QlmasSti5s3OO40oN/Qa4rnLV\n2xtb25/qdTuz3VKb2LKox7F5qO+8q+3vaOv5WlhYRFraSY4ezSUsrEO95S/3aBVhMoGvr6/eP6iH\nSppYcnI6QUGjgSy+/XY5QUE3Wf02pLZvVsq3BwePJjd3LT177mTcuJ6Njis2thc9e+6sUp+1bSL1\n+eIL4/aGG5x3jIceMlbmW7PGWKmvIUpLYcYM4/5zzzk8tAoeHpeH+m3Y4LzjuFJDvwGuq1z19sbW\n9qd63c5st9QmtizqcWwe6jvvavs72nq+Gl/8ZREa6ktIyDc2tzmrV3fj00999f65RD1U0qQsFgtm\ncwCRkZGcPHkEs9n6Nxq1fbNSvt1sDmD48G5MmBDpkLgCAwNq1GVtm0h9yhOq4cOdd4yAAJg0CV57\nDZKSjB4nW733Hhw4YCxwUT4sz1lGjYJ//9uY83Xffc49livY+g2wLeWstTe2tD/V63Zmu6U2sWVR\nj2PzUN95V9vf0dbz1dfXl8hIo1zPnjvr3UfvG+uUUEmTio3tRXLyTgDi44eRkmLcr/5tSOVylZ+r\nbbsr7d9/iJiYd9m/vxQwAXk8+WQU0dFR6gZvZfLzYccOYwnySCd/7pw82Vj2fNEiY6GKwYPr36ew\nEF5+2bj/pz85Z0hiZeU9VOvXO/c4rmJre2RPu2XrQjljxoSxefNKLBaIjx9q035Qc8ELe/ez97XY\nUiYjI5vExC1YLBamTx9GWFiIXXVbq8femFrSMDlb3pe2/A3EtRr7ucja/nW9z8vLh4cXk5v7I//9\n7z9JSbnAiROZBAe3tzoEsK5zqbbFMCrvM2ZMGKtWHSI19ST9+rXF398Pi8WCyeSBxWKhuLiI3bvz\niI4OISbmyoqyUVEhjB8/sEnOU7dOqD7++GNWrVqFyWTCZDJx3333cfPNN1st++OPP5KUlERGRgY+\nPj489dRTDBw4sIkjlvpU/8ZkwgTrjXNt36y44zekDz20lv37w4F7gCDgQ/72t3MMHmzmxx9TefLJ\nG63uZ+3Dyvz5W0lOPki3boG8+uoIABITt1BScp7Bgzvg6+urVXjc2NdfG0Pqhg4Fb2/nHqtLF3j2\nWSNBevppY6n2+hKkmTONiw6PHAm33ebc+AD69jXi3L/fOG5YmPOP2ZRsbY/sabfKh9UY941vja1t\nS0nJpEuXGABSUnZSVFTEp5/6AhaKi3cxadJQli79jk8/jQCguPg7/Px8a9Tz1ltfMmdOB8DCyZNf\nMnXqzTbtZ031tm3+/G9YuDAPKCM3N5ennqq57KO147/44iY2bzb+57/44mfMn393jQ/4KSmZNWKq\nfvzExC3s2XMHAImJq5g7904WLEjlvfdCAEtFO119P1v/Bu6moUlfXT0O1v4G4l5qa1/y8gpYuvS7\nehMLa/vX9T6vXD4+/j9kZt7GmTMd+P771URE+BAeHs6GDWsYOfIqxowJIyUlk02bjhAcfAtms0+N\ncyktLY2LFztQVHSOZ575O4GBXkRFdcDb24ezZ2/EYrHw7rv/4ezZYRQWjmDt2i+5+upAvLy8KCpq\nx/ffnyY391tCQu4iI8OT7du3kJV1LadORbF162ZSU1OYOXO01UTNkZ+j3HoOVY8ePZg9ezb//Oc/\nSUpKYs6cOWRmZlotO2/ePPr3788HH3zA1KlT+eMf/0hpaWkTRyyt0aFDZ4Ga/5BOn+7DihUHat3P\n2qpeCxfCgQMP8dVXw0lM3FLxQeCrr8aycGGeVuFxc+ULUjhz/lRlU6ZAeLjRA7RwYd1l9+yBP/7R\nmNv0+uvO750C4xjlS8e31F4qZ7F1oZzq27ZtyyYnZyA5OZGkpmYDkJp6kpyczuTkdCY1NctqPfPn\n7yE3dxC5uYOZP3+vzftZU71tW7HiMKdP38Hp03eSnHzY6j7Wjn/o0I8UFbWhqKgNhw6dA6hoE/fu\njalIrOo7vrUyK1akc/p07yrttC37NYfhTo6c22ftbyDNQ3JyOp9+GsGePTGsXu3XoM8MDRnOnJdX\nwsWLPhQVmTh50p/09Hbs2OHNgQORJCZuIT19INnZXdm7N6eWY1jIyChg69YMzpz5OYcPP8qaNVew\nebMHP/zgRXq6N0eOBJCV5ceZMx4UF/uRkZEPWNi7N5ecnG6UlFxJVpYnGRkFlFd7+nQRBQXtyM6O\nsDoX39Gfo9y6h2pwpTEsnTp1Ijg4mOzsbEJDQ2uU3bBhA4svXemyT58+dOzYkbS0NKKioposXqlf\nRkY2kyZ9SEpKDj4++bRvH4Sfnz9LltxMVNQAhx2nKYZllB8jJKSUkyd/AF4B/IFiwINTp2YRHV17\nN4X1Vb2qbispOU9WVj5nzxbj5VXMt99mAGVceWWgg1+NOMI33xi3zlo5r7qAAHj7bYiJMVb+GzEC\nevSoWa6kxFjI4vx5+P3vYciQpokPjGF///qXkVA98EDTHbexHDl0rjpbhqBZG4ZTPrwPLMTHD7O6\nrbCwiOzsLACio42lFYOC8tm+/Q2gjBtuiLBaT8eOXmRnpwHQqZPRbgUHF7F9+xwAbrghxGpM1l7L\nmTNnWLlyJVDGxIntCAmB7ds3AxY6d/aw+vu1dvwBAy6yaVMSYOHOO43RDNXbTWsxFRYWkpaWBlgI\nDy9h+vRhJCauAiAhwTg5u3ULICPDOF737tZXRbNWd/Vtjvxf46jhddVff21s+dA8dmwX5s5diMVi\n4ZZbutgVj7hG+d/34sUC0tO/409/yiElZT/PPz+Er78+R2FhISUlF9i9O5d+/QLx9w/A19fMmDFh\n5Ob+yOefLyAszI/z5y307r0esHD//RF06NCJ3btziYoK4dFHe7Ju3cfk53vQtq0XnTp5YzJtprT0\nPGlpOwgKKuLcuVz27z/KiRP/JSurHQ88YPQWX321N6++OpsLF4rx9c2nsNCP0lILYObChSxKSy2Y\nzZsACx4ePpw7919KSvLo2PEKfH3zCQoKISwsk+Li/hQVXYOPzzoGDWrD9Ok/ZdWqQ/z44/cEBPSl\nb99rgAM1fi+O5tYJVWWpqank5+fTt2/fGs+dO3eO0tJSgoKCKrZ17tyZ7Oxsm+vPz8/n3Lmq376Y\nzWbMZrP9QUsNiYlbWLvWn4sXH6e4eBnnzo0gMLAz48fPYe9exyVUTTEso/wYZWXZGJ293kAbIBPo\ng4dHF7KyFte6v7V/1rm5W0lOXkiPHm1JSPgpy5fvZufODfj5XeDcuXS8vUcC5/n22+UkJt5rV9wl\nJSWUlFT9J1tUVGRXXXKZxQJbtxr3r7226Y57xx3GBX7nzzeuUfXFFxAcfPn50lJ45BEj2evbFxIT\nmy42aL7zqGwZ7gXYNSTM2hA0a/tV37f68L4JE0JqbBs//hr8/Y1vXceNuxqAFStOcfHi7wD4+OM5\n9O9fs575828jPn4DAHPnGquVfPRRBhcvPnLp/rskJdUcGmTttezcmUtBgTFMLC3tM3x8fPH37wSA\nl9cJq79fa8dfvjwXi+XpS/ffZPZsaiRH1oYrmUweQPk6/UcJCwth7tw7q5R59dVRJCZuuVTPSKBm\nm2zLYkUffJDmsP811n6X9qj++mtjy9ybDh06MmiQ8cV0cHDtdYn7iY3tRXHxdyxd+j3nzoVQVvZL\nvvrqFPHxa7jxxodIS0vj6NEg2rQZztatq4iI6EdkZBc2b15JVlYEpaUPsWfPftau/Yz8/EcBT+bM\neZuIiAG0aTOcrKydbN9+gL5978PT0wuzeRNDhhQDkJ19PeDF4MF5rFjxCSdODKGs7GccOrSZmTN3\nMXduD55++hsKCx8nP/88JSVv4u9/F4WF2Xh7L6RHj3F07dqe8PDtAGzf3hcfn+H4+HzH+fNHCQ6O\nISLiCgYP3sSOHac4dOhzxo3rwcMPX0tgYACTJoVw//1XX+qBOtAkc/FdmlA98cQTnDhxoso2Y5KZ\niXnz5tGpk9EAHzx4kBkzZpCQkOC0BGfEiBE1tiUkJDB9+nSnHK+1qtoLU+bk4zhX+TG8vb0wFqOo\neAYw0aGDf53XybL2z/qpp0by1FMjKx4HBWUQE2M83rhxAWVlxrervXtn2/1NaFJSEolN/am6FTh+\nHLKzoVs3uNR0NZnZs+H772HLFvjJT2DBAqOX7PhxePxxWLnSWGb9P/8xFsxoSj17GsMSDx6Eo0ch\nIqJpj28vW4Z72TskzJn7WU8wwMfH89J9T6v19O7dg/Xrq3Zvenh44OPT5tJ9673t1ury8vKic2dj\nP29vb7y8vOjduzcAAQH7re5n/fjg6elTEQtgNTmqztfXTGSk0Zvi52f9i1Vr9dgz182R/2scVZct\nrx9se7221iXux0gsrsfX18ybb+Zy+rRxDl1+m1V+v12+bzxf+XGp1XLlZY3zvTPBwb0ZNcqExWLh\nwIErAAgKyqZXr2D27AmgsNCz2r6XPwOaTB60b9+T0NAuhIXt58YbBwHQs+c5LBYLOTnBFBX5AcEE\nBOTj5eV1qf52zJ9vfZ56U8/Fd2lCNXv27HrLHD58mBdeeIFnn32WAQOs92C0bdsWT09PcnNzK3qp\nTp48SUiI7d3lGzduZNCgQVW2qXfK8aZPH0ZGxoekpLyC2VxAu3aH8fMLZMmSmxx6nKZYDbD8GBMn\nmmjTZgubNmUA/nh5XaBfv7106NCBuXNHOuQYAA88MIqZM6sOW7HHtGnTmDJlSpVty5YtIy4uzv5A\nxSW9U+X8/GDVKrjzTvjySyOpatsWyjvdQ0Jg9Wro1avpYzOZjF6qRYuMXqqJE5s+BnvYMtwLsKlM\nddaGoNmyn60xVbdkyc2MHz/n0v2b6NWru03tY/X9bH0t1rbZ83qXLRvNvfe+cel+zYUsatOUq8E6\n8ljWfm+ujskdV9aVhomN7VVl9Mtzz43k6693Eh5eQnFxHrt376d//7b4+R3Fzy+b+PihrFp1kNTU\nVQwY0J6cnAiWLn0bgPvvjyA4OJvdu/cTHR3CHXcMvbSi3laio0MYN+4aoGq7OHp0KIWF69i27b8M\nGRJMQoLRez1v3k3Exy+ktLSUG264gi1byuMbxddfV33PFRd/R3DwcSyWUgYN6lQRqzu9J03r1693\n2xmWR44c4bnnnuPpp59mSD2D/l977TW6dOnCxIkT2bt3Ly+//DJLly7F09Ozzv32799PfHw8qamp\nmm8lrdbixYt58MEHdR40wrRp8Oc/G9eGmjrVNTGUlMCsWfDWW3D4MLRrZ1z/6ZVXjKTKVebPh//3\n/4xk6r33XBdHXXQOiOg8EAHYvn070dHRzJ07t6J3vT5uvcrf7NmzKSwsZN68ecTFxTFp0iS2bdsG\nwL59+5g2bVpF2UmTJvHdd98xYcIEZsyYwQsvvFBvMiUi4iiu7KEqZzYbydyhQ1BcDLm5MHeua5Mp\nuDyPasMGl4YhIiLiFG69KMXrr79e63N9+vQhKSmp4nFQUFCd5UVEnKWsDLZtM4a3RUe7OhqDO41Y\n7t7dmDt15IjRc9a9u4sDEhERcSC37qESEWkO0tPh7Fno08eYuyRVVb4elXqpRESkpVFCJSLSSO4w\n3M/dKaESEZGWSgmViEgjKaGqnxIqERFpqZRQiYg0khKq+lWfRyUiItJSKKESEWmE0lLYsQM8PSHS\n8dcKbDE0j0pERFoqJVQiIo1w4AAUFkLfvsYFdqV2SqhERKQlUkIlItIIaWnGrXqn6qeESkREWiIl\nVCIijbBjh3GrhKp+mkclIiItkRIqEZFGUA+V7TSPSkREWiIlVCIijVCeUA0a5No4mgslVCIi0tIo\noRIRsVNODhw/Dp07Gz9SPyVUIiLS0iihEhGxk4b7NZzmUYmISEujhEpExE5KqBpO86hERKSlUUIl\nImInrfBnHyVUIiLSkiihEhGxk3qo7KOESkREWhIlVCIidrhwAb7/Hsxm6NPH1dE0L5pHJSIiLYkS\nKhERO+zdC+fPw4AB4O3t6miaF5MJRoww7quXSkREmjslVCIidtBwv8bRsD8REWkplFCJiNhBCVXj\nKKESEZGWQgmViIgdtMJf4/ToAV27ah6ViIg0f0qoREQayGJRD1Vj6XpUIiLSUiihEhFpoJMn4dQp\nY6W6oCBXR9N8lSdU69e7NAwREZFG8XJ1AHX5+OOPWbVqFSaTCZPJxH333cfNN99stexrr73G7t27\nMZvN+Pn58fjjj9NHaxmLiBOod8oxbrrJuP3sM6PXz2RybTwiIiL2cOuEqkePHsyePRt/f39OnTpF\nXFwcV199NaGhoTXK3njjjTzzzDN4eHjw1VdfMX36dJYuXeqCqEWkpVNC5Rjdu0PfvsYS9GlpMGiQ\nqyMSERFpOLce8jd48GD8/f0B6NSpE8HBwWRnZ1stO2zYMDw8jJfTv39/zpw5Q1lZWZPFKiKthxIq\nx7ntNuN29WrXxiEiImIvt06oKktNTSU/P5++ffvWW/ajjz7i+uuvr0iwbJGfn8+5c+eq/JSUlDQm\nZBG3VFJSUuO9XlRU5OqwmhWt8Oc4SqhERKS5c+mQvyeeeIITJ05U2WaxWDCZTMybN49OnToBcPDg\nQWbMmEFCQgJms7nOOj/77DM2btzIrFmzGhTLiBEjamxLSEhg+vTpDapHxN0lJSWRmJjo6jCaraIi\n2LcPAgLgqqtcHU3zd+ON4O8PX34JP/4I7du7OiIREZGGcWlCNXv27HrLHD58mBdeeIFnn32WAQMG\n1Fl23bp1fPDBB8ycOZP2DfyvvHHjRgZVG8BfX/Im0hxNmzaNKVOmVNm2bNky4uLiXBRR87J7N5SV\nwcCB0IBOcKmF2WwsTrFqFfzf/8E997g6IhERkYZx648DR44cYdq0aTz99NNERUXVWXb9+vUsWLCA\nN954o6JnqyHatGlD27Ztq/wooZKWyGw213iv+/n5uTqsZkPzpxzv1luNWw37ExGR5sitE6rZs2dT\nWFjIvHnziIuLY9KkSWzbtg2Affv2MW3atIqyr776KhcuXODFF1+sKJuXl+eq0EWkhVJC5Xi3327c\nrloFpaWujUVERKSh3HrZ9Ndff73W5/r06UNSUlLF488++6wpQhKRVk4JleN17w5RUbB9O3zxBViZ\n0ioiIuK23LqHSkTEnVgsRkJlMsE117g6mpbl7ruN248+cm0cIiIiDaWESkTERkeOwNmzxup+bdq4\nOpqWpTyh+vhjY9EPERGR5sKth/yJ5OUVkJycTmFhESYT+Pr6EhvbC4Dk5HQsFguxsb0IDAxwWWyf\nf76Od989CZiAi/z2t1fzpz/9wiUxiXOVD/ertiCoOECfPjBggLGK4jffwNChro6ofuVtQH3tkK3l\nHHW86jIysklM3ILFYmH69GGEhYU49XjV98vLK6hx/OplwL423VqMzqzbFvb+vm2JwZbX4qj3mzRf\nDX0PVC4/ZkwY//73XpYu3c6ZM2Vce20oCQlDWb36MCtWHCY83MzAgR04eLCYqKgQYmKuIiUlk8LC\nQkwmD3x9zYwZE0ZKSmZFfeX3rZ2j1p5vyOtwl/e7XQnVkSNHOHToEIWFhfj7+9OjRw+6devm6NhE\nSE5OJz19IGlpJ4EsIiMjSU7eCUB6+sBLZXYyYULTTWgpP3nXrfuB7OxwPv00F7gd6AiY+fvfv+Tq\nq79j0qTrmywmaRqaP+Vcd99tJFTLlzePhKq8fTLu194O2VquPkuXfsenn0YAUFxstDG2fJhITNzC\nnj13XLq/ijfeGG3TB5DqcY8b19Om/ebP/4aFC/OAMnJzc/n++7wqx587984adYNtbXr112vtd2tv\n3fW9flv3q/77njv3Tpv2syUGqP+1OOr9Js1XQ98Dlctv3rySrVt7s29fD0pLR3HuXAkZGas4e7YD\np09PZO/eI2zevIeIiBiysnayffsWunSJIS0tjQsXAvH2zuOddz7Bx2cIBw5k8sc/buCOOx4hMDDA\n6jm6efNKAgJuYsOG47zzzmLuuac3QUHtaz2/G/tanaVBCVVWVhaJiYkcPHiQsLAwAgICyM/PJzMz\nk6uuuoqEhARCQuz/JkakOovF0qDtTeFykmemoKAI8AXOAFcCgYA/qalZLotPnEcJlXP98pfwhz/A\n4sXw5z+Dt7erI6qbre2Qo9qr1NST5ORce+n+VsC2DxPVj2/rBxB791ux4jCnT0+8VG4hvXoF11u3\nrb+j6jFY28/euuurx9n72VKXLXW78v+juIeGvgeqlrdc+imr9DyVHlev21Jxm5l5jDZtbuTo0TJy\nc/cB9wJebNhwnJiYPrUeb8OG45w+3ZuMjJMsXAgxMZG1nt91x+46DUqoXn/9dQYMGMDMmTOrXLem\nsLCQBQsW8NprrzFz5kyHBymtl/ENxU7Cw4sxTtqvKSoyYbFYCA//Gj8/P8aN69mkMZWfvKGhAWRm\nnmTgwKvZuXMzkAeY8fE5THS0lilriZRQOVe/fnD99fD117BmDcTEuDqiupW3T0Cd7ZCt5eoTFRVC\nVpZRT3S08eWlLR8mfv/7gcTHLwQsPP30KLZsOWvT8arHvWLFDzbt1717IJmZ+QD06NGW6dOHkZi4\nCoCEhKFW6wZs+h1Vf73W6rG37urs/btZe732sue1OOr9Js1XQ98DlcvHxw+7NOTvKGfOvMv114fz\n0ksjWb36MMnJCwkP9+Oaa4I4eHAV0dEh3HHHMFJSdhIeXsJXX50hNzcLP7/2bNuWhcVyknbt+tKu\nXQo9e5ZYPUfj44cxfvwqCgqK8PG5AjheI66ioiKKiky8//6OGr3j7vJ+N61fv97m1O62227jk08+\nwcfHp8Zz58+f5+c//zmrm9mVGffv3098fDypqan1XjxYXO+DD9Iqvp3s2dM1XbvlQ06Kiowkz8/P\nj+7dz/P//t8m8vIu8uijfZgyZUyzGre+ePFiHnzwQZ0HdTh3Dtq1g/btISfHWOlPHG/uXHj0UYiN\nNRaoaCrN4Rwob3vA+OBQeS5C5W3VVW83y4fu1bWPrce3pnwOERgJRWPmENkbg9inOZwH4r4qfz7K\nyTnD2rVZ9OjRlj/+8ad1tgPlbcaFCxeIjOxAcHBQlfO7qT/7bd++nejoaObOnUvv3r1t2qdBPVTB\nwcHs2rWL6OjoGs999913BAfX7NYXcaS9e9N58808wMLvfncKaPqEKjAwwOrJvH//tU0eizSdXbuM\n28hIJVPO9MtfwuTJsHIlZGeDRpFfZq3tqa09qiwn50dWrtwHWHjoocu9U5V7e2xZSMGWYwGEhYU0\nat5QXWyNQUSaXuXzMy+vgODg70hNPcnKlQcYPz6gzgUnKs/tHD06tMpz7jKsry4NSqgmTZrESy+9\nxHXXXUfPnj1p06YNBQUF/PDDD2zdupWpU6c6K05pBpy50kp53bNmbaOwMBQo469/Pcmzz94CGJOg\nV6w4TPfugbz66o0VHwYcudqStG5a4a9ptGsH99wDixYZvVUvveTqiJq/HTuyKChoC8C3354kKKjm\nXKgXXtjAl1/2Aiy88MIGFiy416bV+qyxZ5U/d+hpak4riok4Qn3v58asFlhcXMwnn3QiPd2HrVuP\nYjLtYtKky0Ngy+dDlpQUsHlzCufPF3HqVDe8vMysX7+BiIhfVDwXFRVS5zSPvLwCli41kreoqBDG\njx9YEWtTnbMNug7ViBEjeOutt+jatSt79+5l06ZN7Nmzh4iICN566y1G6PL2rVr5yXHgQGTFkAxH\n111UNBa4BniS4uJBJCenk5yczsKFeRw8OJGvvhpbMdQELq+2tHdvTJXtIg2l+VNNZ/Jk43b2bCgu\ndm0sLYG3t5nOnSPp3DkSHx9fq9/2HjqUT1FRJEVFgzh8uACo2abb2p7asp8z/1/Yy5aY3DFuEXvV\n935u6Pu9cvlt27LJzDxGUVEkBQXXkZqaXaVseTu0d286WVnXkpbWmR9+6EZOTiSHD+c7z6O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cj/Z+/O46Oq7v+Pv4bFbARZEwjKUiQKikGiQqyKIqK/CphU64KiQgtpv4IWKipqvyH1W3CDbxWs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\n/EilAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fa2644b1350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(c[['Ip','B0','li3m','Hon']], diagonal='kde', figsize=(10,10));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'seaborn-darkgrid',\n",
       " u'seaborn-notebook',\n",
       " u'classic',\n",
       " u'seaborn-ticks',\n",
       " u'grayscale',\n",
       " u'bmh',\n",
       " u'seaborn-talk',\n",
       " u'dark_background',\n",
       " u'ggplot',\n",
       " u'fivethirtyeight',\n",
       " u'seaborn-colorblind',\n",
       " u'seaborn-deep',\n",
       " u'seaborn-whitegrid',\n",
       " u'seaborn-bright',\n",
       " u'seaborn-poster',\n",
       " u'seaborn-muted',\n",
       " u'seaborn-paper',\n",
       " u'seaborn-white',\n",
       " u'seaborn-pastel',\n",
       " u'seaborn-dark',\n",
       " u'seaborn-dark-palette']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.pyplot.style.available"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
