Skip to content

Instantly share code, notes, and snippets.

@sirex
Last active August 29, 2015 14:16
Show Gist options
  • Save sirex/57c816e79bdbcb9304f7 to your computer and use it in GitHub Desktop.
Save sirex/57c816e79bdbcb9304f7 to your computer and use it in GitHub Desktop.
Savivaldybių ir mero rinkimų 2015 duomenų analizė
/.ipynb_checkpoints/
/tarybu_nariai_-_main_information.csv
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"name": "",
"signature": "sha256:08c3b7576969951e7cc93592aadf1a9eef2a5624f27512a6c88eecda9e98f361"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"2015 met\u0173 savivaldybi\u0173 taryb\u0173 rinkim\u0173 kandidat\u0173 duomen\u0173 analiz\u0117"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[freedata.lt](https://plus.google.com/u/0/+PovilasPoderskis/posts/ExxAHpJFXk8) pavie\u0161ino *\u017ealius* duomenis i\u0161 VRK svetain\u0117s apie 2015 met\u0173 tarib\u0173 rinkim\u0173 kandidatus.\n",
"\n",
"Labai gaila, kad valstybin\u0117s \u012fstaigos nedaro to pa\u010dios.\n",
"\n",
"\u017demiau pateikiu kelet\u0105 suvestini\u0173 i\u0161 paskelbt\u0173 duomen\u0173, gal b\u016bt \u0161ie duomenys kam nors pad\u0117s apsispr\u0119sti balsuojant. Daugiau informacijos galite rasti [freedata.lt svetain\u0117je](http://www.freedata.lt/savivaldybes/).\n",
"\n",
"**Pastaba.** Visos kainos nurodytos litais."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"%pylab inline"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import textwrap\n",
"import datetime"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"rc('font', family='Ubuntu')\n",
"rc('figure', figsize=(18, 10))\n",
"pd.set_option('display.max_rows', 500)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"wrap = lambda text, width: '\\n'.join(textwrap.wrap(text, width))\n",
"now = datetime.datetime.now()\n",
"format_percent = '{:.02f}%'.format"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data = pd.read_csv('tarybu_nariai_-_main_information.csv', sep='|', parse_dates=['birthdate'])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Analizei naudoju tik Vilniaus miesto duomenis, \u0161ioje vietoje segment\u0105 galima pakeisti \u012f kit\u0105 rajon\u0105 ir atitinkmai perskai\u010diuoti \u017eemiau esan\u010dius rezultatus."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"get_segment = lambda: data[data.county=='Vilniaus miesto']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Kiek kandidat\u0173 yra kiekvienoje partijoje"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
".. i\u0161 pasirinkto segment."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"get_segment().party.value_counts().to_frame('Kandidat\u0173 skai\u010dius')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Kandidat\u0173 skai\u010dius</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <td> 101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <td> 100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija Tvarka ir teisingumas</th>\n",
" <td> 80</td>\n",
" </tr>\n",
" <tr>\n",
" <th>T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <td> 72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <td> 65</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos socialdemokrat\u0173 partija</th>\n",
" <td> 62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Darbo partija</th>\n",
" <td> 60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos rus\u0173 s\u0105junga</th>\n",
" <td> 40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <td> 40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <td> 39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <td> 31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos liaudies partija</th>\n",
" <td> 29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Tautinink\u0173 s\u0105junga</th>\n",
" <td> 28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <td> 15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos lenk\u0173 rinkim\u0173 akcija</th>\n",
" <td> 1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 7,
"text": [
" Kandidat\u0173 skai\u010dius\n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 101\n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 100\n",
"Partija Tvarka ir teisingumas 80\n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 72\n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 65\n",
"Lietuvos socialdemokrat\u0173 partija 62\n",
"Darbo partija 60\n",
"Lietuvos rus\u0173 s\u0105junga 40\n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 40\n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 39\n",
"Lietuvos \u017eali\u0173j\u0173 partija 31\n",
"Lietuvos liaudies partija 29\n",
"Tautinink\u0173 s\u0105junga 28\n",
"Politin\u0117 partija Rus\u0173 aljansas 15\n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija 1"
]
}
],
"prompt_number": 7
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Turto ir sumok\u0117t\u0173 mokes\u010di\u0173 santykis"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, ax = plt.subplots(1, 1)\n",
"parties = get_segment().party.unique()\n",
"labels = [wrap(party.decode('utf-8'), 42) for party in parties]\n",
"cmap = map(plt.cm.brg, linspace(0, 1, len(parties)))\n",
"data['visasturtas'] = data.turtas + data.vertybiniai + data.pinigai + data.suteiktospaskolos\n",
"segment = get_segment()\n",
"for color, party, label in zip(cmap, parties, labels):\n",
" segment[segment.party==party].plot(kind='scatter', x='mokesciai', y='visasturtas', color=color, label=label, ax=ax)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAABCYAAAJiCAYAAAAbssN/AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XlcVdX6+PHPPoDMs8wcRk2THDLRlEzRzBy/aWpZX5Vb\nDnWzrmM2a3qv96eoaanXvlnSpJUaN3LWlErRHFIyAiUBAYUUtZBBOMD6/UEePQGKxnT0eb9evDp7\n77XXevZ+iNrrrLW2ppRCCCGEEEIIIYQQojHoGjsAIYQQQgghhBBC3L6kY0IIIYQQQgghhBCNRjom\nhBBCCCGEEEII0WikY0IIIYQQQgghhBCNRjomhBBCCCGEEEII0WikY0IIIYQQQgghhBCNRjomhBBC\nCCGEEEII0WiaVMeEpmkWmqZFa5q26Rpl9JqmfXfVT7GmaV0aMk4hhBBCCCGEEELUDcvGDuAyTdN0\nwB7g9LXKKaWygO5/nNMf+LtS6vv6j1AIIYQQQgghhBB1rcmMmFBKVQA9gCWABqBpmp+maZs1Tdut\nado2TdOa/+m02cALDRyqEEIIIYQQQggh6kiT6ZgAUEqV8EenxB+igY+VUvcB24F/XD6gaVoPIFsp\n9XPDRimEEEIIIYQQQoi60mSmctSgPRCsadpYwBbYf9Wxx4CPGyUqIYQQQgghhBBC1IkG65jQNG0w\nMP2PTRugrVLK5jqnJQGfKaXWV3OsDzCtDkMUQgghhBBCCCFEA2uwqRxKqTilVHelVHdgJ/BaTUX/\n+IHKjodxmqZ9q2na15qm3Q2gaZoDYKuUKqz3wIUQQgghhBBCCFFvNKXU9UvVZYOa5gV8B4QppQwN\n2rgQQgghhBBCCCGalMZY/PJpYLl0SgghhBBCCCGEEKIxRkwcBXorpc78aX/DBiKEEEIIIYQQQoha\nU0pp1y914xr0rRyapgUAl/7cKXFZQ3eSiLoTFRVFTExMY4chbpLkz3xJ7syb5M98Se7Mm+TPvEn+\nzJfkzrxpWr30SQANP5XjLiC1gdsUQgghhBBCCCFEE9WgIyaUUpuATQ3ZpmgYQUFBjR2C+Askf+ZL\ncmfeJH/mS3Jn3iR/5k3yZ74kd6ImjbH4pbgF9ezZs7FDEH+B5M98Se7Mm+TPfEnuzJvkz7xJ/syX\n5E7URDomhBBCCCGEEEII0WgadCqHEEIIIYQQomHV54J1QohbU4O/vbOpvAlD0zTVVGIRQgghhBDi\nVqFpmrz9TghRazX9zfhjf730dMpUDiGEEEIIIYQQQjQa6ZgQdSI+Pr6xQxB/geTPfEnuzJvkz3xJ\n7syb5E8IIZoW6ZgQQgghhBBCCCFEo5E1JoQQQgghhLiF3S5rTBgMBn7//XeaN2/e2KEIYdZkjQkh\nhBBCCCGEuAnjx49n3rx5jR2GUXFxscn2kCFDWLJkSZXPQgjpmBB1ROZqmjfJn/mS3Jk3yZ/5ktyZ\nN8lf0+Ht7Y1Op8Pa2prWrVvzyiuvUFhYeNP1NZVXo44fP57XX3/dZN/69ev5xz/+UeWzEEI6JoQQ\nQgghhBDVKC6G6dPh/vvh2Wfh99/rvo0zZ87w7bffkpaWxltvvcWuXbvo0aMHJSUlN1VfU5myYjAY\nquzT6XTVfhZCSMeEqCM9e/Zs7BDEXyD5M1+SO/Mm+TNfkjvzJvmrlJICY8bA0KEQF2d6TCno2xeW\nLoXvvoP33oOICPjz87ZSkJMDZ8/efBxubm74+fnx4IMPsmvXLs6fP8/KlSsB+O9//4uPjw8ODg5E\nRkaSlZUFwJ49e+jYsSNOTk64u7tz8uRJlFJs2LABPz8/nJ2deemll6ioqDC2Ex0djaenJy4uLsyY\nMYOysrIqsSxcuJCgoCBsbW3R6/UsX77ceGz//v34+/tjZ2dHeHg4R48eBeD48eN07doVNzc3nJyc\nSEhIQCnFwoUL0el0+Pr6ApW/d8uWLavyuaZrFOJ2Ih0TQgghhBBC3GZ++QXCw+GjjyA2FkaOhJiY\nK8czMuDgQbh0qXK7pAROnoQffrhSpqAAuneHkBDw94dHHoFqnvVviLW1NY8//jjbtm0DIDw8nPj4\neI4cOUJxcTFvvPEGAKmpqVy6dImkpCQSEhLQ6/VA5dSQ7du3s2XLFlavXs17770HwKeffsqSJUuI\njY3lm2++YdOmTSxatKhK+0ePHqVPnz6cPHmSd999l1mzZvH5558D0LJlSzZv3kxycjJ+fn5MnjwZ\ngNOnT5OSksKhQ4c4cuQI7du3R9M0nn32WfLy8vj555+Bymkml6eaXP25pmsU4nYiHROiTshcTfMm\n+TNfkjvzJvkzX5I78yb5g5UroaiocsQDVH6eM+fK8ZpmRFy9f8qUK50XpaWwZQtER//12Pz8/MjL\nyzN+btWqFS1atGD06NEkJycby9nb26PX62nVqhU6nQ5N0wgPD6dNmzZ07dqVyZMn89lnnwEQExPD\nlClTiIiIoH379syePZtVq1ZVaVvTNFxcXPD09OShhx5i+vTpxnKurq60bduWwMBAxo8fbxKLpaUl\nwcHBhISEYG9vD4CNjQ1ubm64uLhc93prukYhbhfSMSGEEEIIIcRtprQUrprlAJiOdggOhrvvBhub\nyu1mzSpHRXTseKXM3r2VIykuKyqCPXv+emzZ2dl4eHgAEBcXR3h4ON7e3sybN6/atRuudvUaE0FB\nQeTk5ACQlZVFcHCw8VhwcDCZmZnXjaVly5bGcgkJCdx///34+Pjw3HPPXTeW2i7EeaPXKMStSDom\nRJ2QuZrmTfJnviR35k3yZ74kd+ZN8gejRoGd3ZVtOzt45pkr25oG27bB+PFw770wejQkJFR2UFzW\nsiVYWl7ZtraGO+/8a3FdunSJ1atX8+CDD3Lp0iVGjBjB2LFjSUhIYOzYsTe0uGVqaioBAQEA6PV6\n0tLSjMfS0tIIDAy8bh0nT540rhExcuRIIiMj2b17N6+88so1Y2nWrBmlpaXXrf+vXqMQtwrL6xcR\nQgghhBBC3Eruvrty6sXLL1euFTFmDPz57ZX29rBkSc11LF0KBw5Afn7lFI+AAHjttRuP5dy5c2Rl\nZZGcnMzMmTNxc3PjqaeeoqysjLKyMlxcXHB0dMTR0bFWdeXm5pKYmMiCBQt4++23AYiKimLatGl0\n6dIFBwcHZs6cSVRUVJXzlVIcOnSI5ORk8vPzWbx4MS+99BIApaWlODk54eDggLOz8zXjCAkJYc2a\nNWRkZJCbm8u9995bbbmKioobvkYhbkXSMSHqRHx8vHz7YMYkf+ZLcmfeJH/mS3Jn3iR/lbp3r3zj\nxs3y9a18s8fevZUjJ7p1Mx1RURs+Pj706NEDKysrAgMDeeSRR3j11VextrbG2tqaZcuWMX36dHJy\ncnBycmLAgAGA6eKRl7Vt25Y333yT1atXo9free211xgxYgQAjz32GFlZWQwdOpTS0lKefvpppk6d\nWiUeTdPIycnhgQce4OLFi0yYMIFx48YB8J///Ifp06fz0ksvYWdnR8er5rX8OZaxY8eybds2wsLC\nCAwM5MCBAybHy8rKsLS0xM7OrsZrFOJ2ojWVoUKapqmmEou4cfIfePMm+TNfkjvzJvkzX5I783a7\n5U/TNJkeUEtRUVF4enoyf/78eqm/qKiItLQ0unfvzvr16+nVq1e9tCPEX1HT34w/9tdu8ZQbbbOp\n/JGSjgkhhBBCCCHqnnRM1N7f/vY3PDw86q1j4v/+7/+YOnUqI0aMML7KVIimRjommkgsQgghhBBC\n3CqkY0IIcSMao2NC3soh6oS8D9y8Sf7Ml+TOvEn+zJfkzrxJ/oQQommRjgkhhBBCCCGEEEI0GpnK\nIYQQQgghxC1MpnIIIW6ETOUQQgghhBBCCCHEbUU6JkSdkLma5k3yZ74kd+ZN8me+JHfmTfInGktF\nRQV79+6loqKi3towGAwm/6xvOTk5Jv+8loKCAn744Yf6DkmYIemYEEIIIcQt5ezWQ+x/8BX2P/gK\nZ7ceauxwhBA3oWPHjsTGxl63XFFRUQNEU3cyMzOJiIjg0qVL1yxXXFxssj1p0iQmTZpUqzb69evH\nrl27iIyM5OLFi6xfv5577rnnhuIcMmQIS5YsuW45pRSPPvooS5cuZdCgQde9rnXr1jFhwgQAsrOz\n8fLy4vTp09c8Z//+/ej1+nrraCkpKUGv13Pw4MF6qV/UjqwxIYQQQohbxtmth/hhyBwqiksB0Nk2\no2Psa3j0vbH/KRfiVtKU15jQ6XT89NNPtGnTxmR/eXk5FhYW1zx3z549DB06lF9//bU+Q6xTGRkZ\nhISEUFBQgJ2dXbVl5s6dy+HDh1m7du1NtZGUlESPHj345JNP6Nu3L1C7+3m1iooKdLrafYd9+vRp\n+vXrx+eff06rVq2uWTYmJoZly5Zx4MCBG4rrRuO/UfVdv7lpjDUmLOujUiGEEEKIxpC+8AtjpwRA\nRXEp6Qu/kI4JIW7ST4cucfynUoJaWtGxm22DtVubh0SDwVCvUyIay18dGRAWFsbx48dxc3Mz7rvR\nh+7adkoA+Pr6cvjw4Rs657LaxlXfnQbSKdH4ZCqHqBMyV9O8Sf7Ml+TOvEn+zJfkzrxJ/ioZDIo9\nO4r4Oq6QC+fKqxxfueACj99/ijcmniWqz2n+3/SzDRZbUFAQGzduBODs2bOMGDECV1dXOnToYPy2\nHeDcuXPodDp0Oh1bt24lJiaG8PBw4/FZs2YxfPhw8vPzsbKyIi0tzXisffv2bNiwAYDo6Gg8PT1x\ncXFhxowZlJWVAZCcnEznzp2xsbEhJCSEvLw84/lKKby8vNi5c6dx3//8z/+wdOlSDAYDrVu3xs7O\njpCQED777LNqr/M///kPPj4+2NnZMX78eGO969evR6fTYWFhQUlJCVFRUUyfPh2AsrIyXn75Zby9\nvQkKCuL999831peXl8fQoUPx9/fHx8eHffv2mdyTmu7Pn/Xs2ZNly5YBsGLFClq2bImdnR133323\nSbmoqCh0Oh2WlpbodDpCQkKAyukX/v7+2NnZER4eztGjR6u0kZGRgU6no6ioyOQzVP476uHhcc3P\n1V3PZbt37yYsLAxra2vatm1rcl0ODg74+/uzePFi436dTsfPP/9c5fOf4+revTteXl5YW1vTsWNH\nUlJSjHX8+OOPdOrUCRsbG3x8fHjiiSeMx3r06FFtu+IK6ZgQQgghxC0jeOpQdLbNjNs622YETx3a\niBEJ0TSVXKrg0W7ZPDskh2mjcnmg5UlSf74y2ujCuXLefPUcxUWKogJFcZHik2X5pB+/UkYpxeoV\nv9PvrpMM6pDJttiCOotP0zQ0rXLE+IQJEzAYDBw8eJDhw4czcuRI4zBzNzc38vLyyMvLo3fv3jXW\n4+TkREREhLFTKi8vj9TUVHr37s2nn37KkiVLiI2N5ZtvvmHTpk0sWrQIgJkzZ9K6dWuOHTvGxx9/\njLu7u0nd/fr1M9ZZXl7Od999R//+/bGysuKDDz4gNTWVJ598knHjxlFSUmIS28WLF5k4cSJLly4l\nJSWF559/3nhs8ODB5OXlcfbsWaytrU3ux/Lly1m3bh1btmxh+fLlPPfcc2RkZADwxBNP0KxZM44e\nPcqOHTsICwu77n2+3v3ft28fERERnDhxosr0kmXLlpGXl0d2djYtWrTgmWeeAaBly5Zs3ryZ5ORk\n/Pz8mDx58jXjqGtTpkxh4MCB/PLLL6xcudK4PyYmhhMnTvDxxx/zyiuvkJWVdUP17tmzh9WrV3Pi\nxAnatm1rXC+joKCAPn36MHToUE6cOME///lPEhISjOctWrSIY8eOMWfOHKZNm3bD7d4OpGNC1Ime\nPXs2dgjiL5D8mS/JnXmT/NU9j7730DH2Ndz73I17n7vrbX0JyZ15k/zBx8t+5/hPpRQWKAryFRd/\nq+ClJ6+s1XDuTDlWzUwfWq2aaZzJuTKyYu17+fy/qXn8kmQgJbGUqf/7K99uKazTOIuKivjyyy9Z\nsGABoaGhvPTSS5w9e5bk5GSg8gHazc0NNzc3LC2rzlJXShk7MQYMGMCWLVsA2LFjBz169MDW1paY\nmBimTJlCREQE7du3Z/bs2axatQoAFxcXLly4gIuLC926davyIH91nQcOHMDT09M4aqBLly74+fkx\nZcoUCgoKqjyMWllZYW9vz++//45er+euu+4yOXb5uv7sk08+YcaMGXTo0IH+/fsTGRnJpk2byMnJ\nYfv27SxfvpzQ0FDCwsJwdHS85v2tzdojmqbh6emJj48PLVq0MDlmb2+Pm5sbCxcuJDQ01Diqw9XV\nlbZt2xIYGMj48eON+Wool/Pm4eFBly5dgMp1M5YvX063bt146qmnqKio4NixYzdct4+PD/7+/kyc\nOJF9+/YBsGHDBpo3b87LL7+Mn58ffn5+Jufcc889+Pn58be//Q13d/ebavdWJx0TQgghhLilePS9\nh87b/kXnbf+StSWEqMHJXwyUXLryUKoUnD5ZZtzWB1tiaWX6EF5ermgZdmVE0ifLf6e46Eodl4oU\nn7+bX6dxZmdno5SiU6dOuLq64u7uTmFhYY2vprzWQp/9+/dn27ZtGAwG4uLiGDBgAABZWVkEBwcb\nywUHB5OZmQnA/Pnz8fLyIigoiBdffJHyctMpL3369OHHH38kNzeXuLg4Bg4cCFS+OnPYsGHo9Xrj\nGzFKS0tNzrWxsWHTpk0sX76c1q1bGzs4ricrK4tJkybh6uqKq6srO3bsICcnh8zMTBwcHKrtzKjN\n/bmWa52TkJDAhx9+SExMjMm++++/Hx8fH5577rnrrptxucPnerHVNv7333+fc+fOodfrWbhwIQDv\nvvsua9eu5eOPPyYuLg5nZ+cqObmsNm00b94cg8FAUVER6enphIaGVlvu4sWLPPnkkwQGBhIaGkp+\nfn6N7d7OpGNC1AmZq2neJH/mS3Jn3iR/5ktyZ94kf3DPfbbY2l/peLCygg732hi3rW10xGzzpbmX\nBRYW4OSq4/++8sGtucVVZapOA7C2rdsF+729vQHYuXMniYmJJCYmkpaWRkREBM2aNavywOvs7MzZ\ns1fWwrh6hENYWBgBAQF89dVXbN26lWHDhgGg1+tN1p5IS0sjMDAQqPzmfeXKlRw+fJh169YZR1Jc\n5uLiwoMPPsgXX3zBF198wYgRIwB48cUXKSkpYevWraxbt67G67vvvvs4ePAgr776KkOHDuXixYvV\nXtfVfHx8mD9/vvF+HD9+nGnTpuHj40NBQQHnzp2r8dxr3Z+bUVZWxtNPP010dDReXl7G/SNHjiQy\nMpLdu3fzyiuvXPdB39nZGYAzZ85ct9zvv/9epYPoz/z9/Vm/fj07duxg7ty57Nixg6NHj9K/f3+6\ndu1KWFgYtrbVL+bq7Ox83TjA9N45OzuTnZ1dbbkFCxaQlJREXFwcmzZtwtXV9bp1346kY0IIIYQQ\nQojbzODHHRj+lBOWlmDVDFq1t2bue54mZe66x4aEnCAO/RbCwXPBdOlp+nrL599wx8buysOZrb3G\n2Ok3/tCVm5tLdna28edqTk5ODBgwgPnz51NcXIxOpyM/Px8bGxuCgoIoKChg8+bNpKamcvr0abp0\n6UJubi4ffvghZ86c4fz58yb1jRkzhokTJxIeHm7s9IiKiuLNN99k9+7dHDlyhJkzZxIVFQVUfvN/\n8uRJlFK4u7tXqe9ynf/85z8B6Ny5M1A5OsLe3h4nJyeTEQxOTk4AHDlyhNLSUr7++mtyc3Px9fWl\npKSE4uJiQkNDOXDgACkpKRw6dIiSkhKTKSmPP/4477zzDjk5OVhZWfHrr7/i7OxMQEAA3bt3Z8KE\nCaSkpJCamsqpU6dMYu3cufM17091rtWpsHLlSjRNY+DAgca1Pi5fv5OTEw4ODsZOh8vXf+rUqSqd\nJy4uLrRp04aFCxdy6tSpGl8B27p1a1xcXJg/fz65ubkmi5FebdeuXWRnZ2NjY4OjoyPnz58nNDSU\n+Ph4UlJS+PXXX2vs/ImIiGDp0qVkZmbWODLnzwYPHkxKSgrLly8nPT2dnTt3GjsuSktLsbGxwcnJ\nCVdXV3kDSE0u/5I39k9lKEIIIYQQQoi6dK3/zy4sKFfn88pURUXFTdW9/9siNX10jnrpqVyVnHjp\nhs/XNM3kR6fTKaWUCgoKUhs3blRKKZWXl6eGDx+u7O3tlZOTkxo9erTx/DfeeEO5u7srDw8PtW7d\nOqWUUqtWrVKBgYHK2tpa6fV6NXv2bGP5s2fPKmtra7V27VqTOObPn688PDyUs7OzmjFjhiorK1NK\nKTV27Fhlb2+vHB0d1cCBA9WFCxeqXIPBYFBeXl4qOjrauC85OVnde++9ysbGRtnb26tWrVqpjIwM\npZRSzzzzjLrzzjvVqVOnVKtWrZSVlZXy9fU1nn/p0iU1dOhQ5eDgoEJCQtSJEydUVFSUmj59ulJK\nqbKyMvXqq68qDw8PZWtrq9q1a6eKioqUUkrl5OSoQYMGKVtbW+Xu7q7WrVunYmJiVHh4uDG2y/fH\n0tJSWVlZqXHjxlW5pp49e6ply5YppZRJ23/Wq1evavMXGxurWrRooaysrJSzs7OKjIxUSil18eJF\ndd9996mnnnpKZWRkKJ1OpwoLC5VSSh08eFC1b99eWVlZKWtra9WyZUullFI7duxQ3t7exjY3b96s\n7rjjDmVpaamsra1Vnz59qsTVt29fZWNjo5ydndXo0aNVaWmpKiwsVA8//LCyt7dX1tbWysLCQn33\n3XeqrKxMaZqmjh07ppRS6sSJEyoiIkLZ2toqNzc3de+996rS0lKllFI6nU4lJSUppZRKT083if/y\nNTs7O6t27dqp9u3bK6WUys3NVX369FF2dnbKxsZGhYaGqr1791Z7P5uKmv5m/LG/XvoDNHUTc4zq\ng6ZpqqnEIoQQQgghxK3iZtcVELe2xMRE/v73v7Nz506sra0bOxyj4uJiunTpwoYNG7C2tmbu3Lkc\nPnyYb7/91qRcTk4O/fr145tvvjEZlVEbkyZNwtPTk3HjxvH111/z5JNPcu7cuRqnd9TGDz/8gK+v\nL4WFhcycORMHBwdWrFhx0/U1ppr+Zvyxv27na/1BpnKIOiFzNc2b5M98Se7Mm+TPfEnuzJvkT4jK\nKTSpqanMnTu3sUMxkZ+fz++//85TTz1Fp06d2LJlC/PmzatS7uzZs/z6669MmTLlhts4c+YMs2fP\nZuTIkTz//PMsWrToL3VK5OfnExUVRUhICPfeey/l5eVN7r42dVXfqSOEEEIIIYQQ4pbWt2/fWi3y\n2NC8vLw4efLkdcu1a9eu1mtA/Nnq1atv6ryaODk58eOPP9ZpnbcbmcohhBBCCCHELUymcgghboRM\n5RBCCCGEEEIIIcRtRTomRJ2QuZrmTfJnviR35k3yZ74kd+ZN8ieEEE2LdEwIIYQQQgghhBCi0cga\nE0IIIYQQQtzCZI2JW8ehQ4do1aoVDg4OVY6VlpZSUFCAm5tbvceRm5tLdnY2nTp1qve2RMOTNSaE\nEEIIIYQQt72OHTsSGxt73XJFRUUNEE39279/P3q9HoPBcM1y4eHhZGZmVntszJgxvP322/URXhUr\nVqyo9hWeN6op5K+4uNhke8iQISxZsqTKZ1G/pGNC1AmZq2neJH/mS3Jn3iR/5ktyZ94kf02HTqfj\n559/rrL/wIEDDBky5Jrn7tmzh+Dg4PoKrUF17tyZjIwMrKys/lI9mlYvX2bXSztNIX/jx4/n9ddf\nN9m3fv16/vGPf1T5LOqXdEwIIYQQQgghalRR0fDTQCwsLK5bxmAwUFFR0QDRNIzaXPO1KKUabMpO\nXbTTFPJX3QgVnU5X7WdRv+ROizrRs2fPxg5B/AWSP/MluTNvkj/zJbkzb5K/2jmZdJEnQ79hoOVW\n/tdvF8n7fmuwtoOCgti4cSMAZ8+eZcSIEbi6utKhQwcOHDhgLHfu3Dl0Oh06nY6tW7cSExNDeHi4\n8fisWbMYPnw4+fn5WFlZkZaWZjzWvn17NmzYAEB0dDSenp64uLgwY8YMysrKAEhOTqZz587Y2NgQ\nEhJCXl6eSZy5ubn06tULOzs7/P39OXr0KABnzpxh8ODB2Nra0qpVK7Zv3248p6ioiHHjxuHo6Ii7\nuztffPEF8fHxeHh4GMv06NEDBwcH/P39Wbx4cbX3qLi4mCeffBIHBwdatGjB/v37jSMZysrKePnl\nl/H29iYoKIj333/feN6jjz6Kr68vdnZ2REREMHv2bIKDg7Gzs+Opp56ivLwcqHxonz59Oi4uLnh6\nerJw4cJq49i2bRs+Pj5kZWVx/vx5evXqhYeHB/b29nz++edkZ2cTHByMra0tbdq0YdeuXTecvz9b\nuHAhQUFB2NraotfrWb58ufHY/v378ff3x87OjvDwcGNOjh8/TteuXXFzc8PJyYmEhASUUixcuBCd\nToevry9Q+fdh2bJlVT7/97//xcfHBwcHByIjI8nKyqr2foibIx0TQgghhBBC3IY2rshkuNsOHrbf\nxvxRiZReKjceKy2pYEbkAXLSilEKzp0u4dW+B7l4vtSkjnOnL7H53Sy2rcrm4oVrr49wIzRNMz5k\nT5gwAYPBwMGDBxk+fDgjR440fmPv5uZGXl4eeXl59O7du8Z6nJyciIiIME7jycvLIzU1ld69e/Pp\np5+yZMkSYmNj+eabb9i0aROLFi0CYObMmbRu3Zpjx47x8ccf4+7ublL/okWL0Ol0/PTTT8TFxRmn\nJowePRp7e3uSkpJ49dVXGTJkiHFtiMmTJ/PLL7/w/fff8/333xMREVEl7kWLFnHs2DHmzJnDtGnT\nqn0Inj17Nj/++CP79u1jzZo1JgtiLl++nHXr1rFlyxaWL1/Oc889R0ZGBlD54D537lxSU1Px9PTk\nww8/5IsvvmD37t3ExsYaO4QWLlzI5s2b+eabb/jiiy948803+fzzz01iOHbsGGPGjGHt2rXo9Xry\n8/OJj49nx44dpKSk8MADD+Dh4cG6detITU2lZ8+ejBs3znh+bfJXnaNHj9KnTx9OnjzJu+++y6xZ\ns4yxtWzZks2bN5OcnIyfnx+TJ08G4PTp06SkpHDo0CGOHDlC+/bt0TSNZ599lry8POOUoqt/967+\nHB4eTnzOFnnTAAAgAElEQVR8PEeOHKG4uJg33nij2tjEzZGOCVEnZK6meZP8mS/JnXmT/JkvyZ15\nk/zBwS1neXdqCgUXyigpqmDPul9ZMSnZeDw3rcikowIADTJ+KjBuZiYXMP7O3bwzKZnlE39mwp3f\ncT7nUp3GWVRUxJdffsmCBQsIDQ3lpZde4uzZsyQnV8aqaRpubm64ublhaWlZ5fyrpzcMGDCALVu2\nALBjxw569OiBra0tMTExTJkyhYiICNq3b8/s2bNZtWoVAC4uLly4cAEXFxe6detW5UHZxcWF/Px8\n7Ozs6NixIw4ODuTm5rJt2zaWLVtGSEgIo0aNonfv3qxZs4aKigo++ugjFi1aRJs2bWjRogVeXl5V\n4r7nnnvw8/Pjb3/7G+7u7hw7dqxKmbVr1/L6669z1113ER4eTlhYmPHYJ598wowZM+jQoQP9+/cn\nMjKSTZs2GY97enri5+fH6NGjUUpx991307FjR7p3705iYiIAMTExzJ49m/bt23PfffcxdepU432B\nypEsAwcOZN68edx3330msbVs2RK9Xo+bmxvW1tbcc889+Pv7M3HiRNLS0oxTKGqTv+pommYcyfHQ\nQw8xffp0Y2yurq60bduWwMBAxo8fb/xdAbC0tCQ4OJiQkBDs7e0BsLGxwc3NDRcXl2rbuszPz49W\nrVrRokULRo8ebVKv+OukY0IIIYQQQojbzPcbzlJSdGV+f+mlCr7/6qxx26l5M8pKTR8Ky0orcPZo\nZtx+Z1IyxRcrOzZKiirIP2dg9ewTdRpndnY2Sik6deqEq6sr7u7uFBYWkpOTU235a70atX///mzb\ntg2DwUBcXBwDBgwAICsry2QRxuDgYOPohvnz5+Pl5UVQUBAvvviicZrDZVOnTqVHjx7ceeedjB8/\nnsLCQjIzM3FwcDB5bWdISAhZWVnk5eVx6dIlgoKCarzmixcv8uSTTxIYGEhoaCj5+fmUlpZWKXf6\n9Gn0en21dWRlZTFp0iRcXV1xdXVl+/bt1d4zFxcXLl68aNx2dXWloKDguvcFKkct5Obmctddd9V4\nLVA5HaZfv374+vry8MMPo2lajW8fudlX27Zs2dIYW0JCAvfffz8+Pj4899xz133TSW0X8oyLiyM8\nPBxvb2/mzZt33XrFjZGOCVEnZK6meZP8mS/JnXmT/JkvyZ15k/yBs0czLK1MH8gc3a68EcLFoxnD\nZwRjbaejmY0OG3sLeo/2JeDOK9MFzueUcPUzZHmZIu903Y6Y8Pb2BmDnzp0kJiaSmJhIWloaERER\nNGvWrMrDobOzM2fPXulgufqhMywsjICAAL766iu2bt3KsGHDANDr9SZrT6SlpREYGAhUPrivXLmS\nw4cPs27dOpMRAwDW1tZER0dz/Phxjh49yr///W8CAgIoKCgwWY/ixIkTBAQE0Lx5cywtLUlPT6/x\nmhcsWEBSUhJxcXFs2rQJV1fXassFBASQmppa7TEfHx/mz59vvGepqalMmzatSrk/dwRcvX2t+wLQ\nq1cv/v3vfzNw4EBOnTpV4/U8/fTT6PV64uPjefvtt43132j+ruXkyZPGNSJGjhxJZGQku3fv5pVX\nXrlmR0ezZs2q7fT5s0uXLjFixAjGjh1LQkICY8eObbCFRm8X0jEhhBBCCCHEbWbwxACcPZvRzFaH\nhZWGtZ2Ovy9tY1Jm1BstmbO5E09Ft+LV9R147j9hJsc7D/DA2u7K44S1vQWdB3jecCy5ublkZ2cb\nf67m5OTEgAEDmD9/PsXFxeh0OvLz87GxsSEoKIiCggI2b95Mamoqp0+fpkuXLuTm5vLhhx9y5swZ\nzp8/b1LfmDFjmDhxovGbb4CoqCjefPNNdu/ezZEjR5g5cyZRUVFA5bfvJ0+eRCmFu7t7lfoOHTrE\nL7/8QklJCR4eHpw/fx5vb28efPBBJk6cyIkTJ/joo4/YuXMnjz32GDqdjpEjRzJp0iQSExPJyMgw\nefgHKC0txcbGBicnJ1xdXU3e1uHo6MiRI0eMcb/22mvs3buX06dPc+HCBWO5xx9/nHfeeYecnBys\nrKz49ddfcXZ2vm4urp76EhUVxaxZs0hMTGT37t0sWrTIeF8umzhxIoMHD2bUqFE11llaWoqDgwNO\nTk4mo0huJn9Xx3no0CGSk5P5/vvvWbx4sXGRzNLSUpycnHBwcLjuNYeEhBAfH09GRgb79u2rsVxF\nRQVlZWW4uLjg6OiIo6PjNesVN+HyL19j/1SGIszVrl27GjsE8RdI/syX5M68Sf7Ml+TOvN1u+avp\n/7MvXihVXy0/qdYtSFMZSRdvuF5DabmKHp2oBlhuUQObbVHvvZCiKioqbqgOTdNMfnQ6nVJKqaCg\nILVx40allFJ5eXlq+PDhyt7eXjk5OanRo0cbz3/jjTeUu7u78vDwUOvWrVNKKbVq1SoVGBiorK2t\nlV6vV7NnzzaWP3v2rLK2tlZr1641iWP+/PnKw8NDOTs7qxkzZqiysjKllFJjx45V9vb2ytHRUQ0c\nOFBduHDB5LxZs2YpJycnZWtrq3r06KHS09OVUkqdOXNGDR48WNnY2Kg77rhDbd++3XhOfn6+Gj16\ntHJwcFBOTk5qyZIlKj4+Xnl4eCillMrNzVV9+vRRdnZ2ysbGRoWGhqq9e/cqpZT617/+pdzd3ZXB\nYFBlZWXqtddeU3q9XtnY2KiQkBC1Zs0apZRSZWVl6tVXX1UeHh7K1tZWtWvXThUXF1e5t7t27TK2\nq5RSUVFRavr06ZX5NRjUtGnTlLOzs/Lw8FALFy40ue7hw4crpZQqLCxUAQEBauXKlSo9PV3pdDpV\nWFhoLLt7927Vrl071axZM+Xo6Kjatm2rSkpKrps/S0tLZWVlpcaNG1fl9yYqKkq1bt1a+fr6KkdH\nRzVt2jTj715sbKxq0aKFsrKyUs7OzioyMrLaa1Wq8nerV69eys7OTt15552qoKBA9ezZUy1btkwp\npdR9992n3nnnHaWUUitWrFB6vV5ZWloqNzc3NWrUqCpx3Spq+pvxx/566Q/QVBMZgqJpmmoqsYgb\nFx8fL8MizZjkz3xJ7syb5M98Se7M2+2Wv5udt19bl+uu7bB7IWojMTGRv//97+zcuRNra2uTY1FR\nUXh6ejJ//vx6abuoqIi0tDS6d+/O+vXr6dWrV72001TV9Dfjj/318i+6TOUQdeJ2+o/7rUjyZ74k\nd+ZN8me+JHfmTfJXt65+paIQdSU3N5fU1FTmzp1b5Vh9/759/PHHdO3alaFDh952nRKNRUZMCCGE\nEEIIcQur7xETQohbi4yYEGZL3gdu3iR/5ktyZ94kf+ZLcmfeJH9CCNG0SMeEEEIIIYQQQgghGo1M\n5RBCCCGEEOIWJlM5hBA3QqZyCCGEEEIIIYQQ4rYiHROiTshcTfMm+TNfkjvzJvkzX5I78yb5E0KI\npqVBOyY0TbPUNO1VTdN+0DTt9YZsWwghhBBCCCHErengwYPk5OTc8HlJSUmcOHGi2mMGg8Hkn9fb\nL25eQ4+YeBdoA3RXSs1u4LZFPZL3gZs3yZ/5ktyZN8mf+ZLcmTfJn/nYv38/er2+3h8A169fzz33\n3FOvbXTs2JHY2Nh6baOuvfnmmwwZMuS65crLyyktLW2AiGo2bNgwDh8+XKuyV+fi2WefZcuWLVXK\n5OXl0bt3b7Zs2cJjjz1m3F9cXExkZCTx8fH06dMHpVSt75OoWYMtfqlpWhCQCHgppS5Vc1wWvxRC\nCCGEEKKONdXFL3v27Mm3335bZX9UVBTvv/++cbu8vBwLC4t6j6e+22mo67gZUVFReHh4EB0dXeVY\nRUUFOt21v8++4447WLx4Mf3796+vEK8rODiYZcuW1SqGq3MRGRnJ8OHD+fvf/16l3GeffcbUqVPZ\nt28f/v7+xv27du1i2LBhfP3113To0AGo3X0yF7f64pf3ACXAl5qmxWuaNrwB2xb1TOZqmjfJn/mS\n3Jk3yZ/5ktyZN8lf0xAXF0deXh4//PADACdPniQvL4+lS5ealGuoh/n6bqepdkpA5QOnplX/vFmb\nh22DwdAkO79qUttcPProo/z4448mnRJQ2ZmRmppq7JSA2t0nUbOGvHsK2KiU6gs8ArytaZrt1QWi\noqKYNWsWs2bNYvHixSb/0YiPj5ftJrx95MiRJhWPbEv+ZFu2ZVu2ZVu2Zdt0u6lxcnLCzc0NFxcX\nANzd3XFzc8POzg6AhIQEOnXqhIuLC0OGDOHChQv8/vvvWFlZkZaWZqynffv2fPXVV3Tr1o333nvP\nuH/kyJH885//JC8vjy5dutC8eXNsbGyIjIw0WYsgLi6OO++8Ezc3N5566ilKSkoA2L17N2FhYVhb\nW9O2bdsqD97Jycl07twZGxsbQkJCyMvLA2DUqFE4OTnh5eXFCy+8YCwfFBTEpk2bjJ83btxoPKbT\n6fj5558BeOyxx/D19cXGxoY77riDPXv2GMudPHmSXr16YWtri6enJz169DAe+9///d9q262t6joW\nZs2axfDhV75PfvPNNwkMDMTHx4d//etfJucOGjQInU7H448/XuWaMjIy0Ol0FBYWMnz4cF5//XWT\nOh955BGgcp2IDh06YGNjQ8+ePY15rqioYPz48bi4uODq6mqS5+qMHj2akSNHAhAbG0tYWBj29vb4\n+PhgMBhMcnG11157je7du1NWVmbMr6+vr0l+MzIy6NWrF35+fgQGBpKRkVHlPn344Yf4+/vj4ODA\n2LFjKSwsBCrXs+jQoQNubm7Y2tryyCOPcPHiRbZu3Yperzeef+zYMRwcHDAYDMTGxhIcHIyNjQ0P\nPfTQNa+7LsXHx7N48WLj83lUVFT9NqiUapAfIAg4AFgATsBpwOaq40oIIYQQQghRt5r6/2enp6cr\nTdNUYWGhcd/58+eVu7u7WrhwoTpx4oTq27evmjhxolJKqR49eqj33ntPKaXU2bNnla2trSoqKlLz\n589XI0aMMNbh7++v9u/fb6z/2LFjKj09XfXp00eNHj1aKaVUamqqsrOzU6tXr1bJycmqQ4cOasGC\nBUoppcLDw9ULL7ygMjMz1b59+6rEPXz4cDVq1CiVkZGh9uzZoyoqKpRSSmVmZqqcnBx18OBB5e3t\nrXbv3q2UUiooKEht3LixymellNI0TSUlJRmPrVq1SuXm5qqXXnpJBQcHK6WUKi8vV3fddZeaOHGi\nOnnypNqyZYv6Yzq8UkqpI0eOqKysLLVp0yZlZWWlvvvuu1rnICoqSk2bNq3K/lmzZqnhw4crpZT6\n8ssvlYeHh/r2229VQkKCcnd3V998840x5jVr1qhz586pgoKCKtd0dY5XrVqlunfvbmxj4MCB6r33\n3lP5+fnKw8NDRUdHq/T0dDV58mR11113qfLycrVx40bl5eWljhw5oo4fP67S09OrxBoUFKQ2bNig\n5s2bpzp16qSKi4uVUkrNnDlTPfDAA+rUqVMqOTm5yv3v2bOnWrp0qfr0009VUFCQOnPmjFKq+vyW\nlZWpNm3aqEmTJqmMjAx16NAhVVZWpmbNmqWGDRumlFIqISFBOTk5qY0bN6qUlBTVs2dP9cwzzyil\nlNq1a5dydXVVOTk5KiUlRbVr1069/vrrymAwKBcXF2N87777rurfv79SSikPDw+1ZMkSlZmZqQ4d\nOlTrnP4VNf3N+GN/vfQXNNiICaVUBvARsAfYBbygqllrQgghhBBCCHF727JlCz4+PkyZMoWQkBBe\nfvll4wiDAQMGGBcr3LFjBz169MDW1paHH36YLVu2YDAYSE9Pp7CwkE6dOhnr9Pf3JygoiPHjx7N3\n714A1q5dS69evRg5ciStW7dm8uTJxnZcXFy4cOECHh4edOnSpUqMl4+7uLjQrVs341SIzz77jMjI\nSIYOHUpxcTHJyck3fP2enp54eXkxefJkMjIyyMnJYf/+/WRnZ7No0SICAgIIDAw0Oad9+/b4+/vT\nr18/7r77blJSUkyO9+vXD0dHRxwdHU1GYVyLumoUxSeffMKECRPo3r07Xbt25dFHH2XDhg3G45dH\nwNjb21+zzoceeojvv/+eixcvYjAY+Pbbb+nfvz8bN27E29ubadOmERQUxPz588nJyeHAgQO4uLhQ\nUlJCWVkZLVu2JCgoqNq6165dy7Jly4iLi8PGxsa438XFBV9fX1q3bl3teXv27OH5559nw4YNeHh4\nGM/5c373799Pbm4uCxYsIDAwkI4dO2JhYWFynz744APGjBlD//79adWqFYsWLeKDDz4wHrewsMDb\n25tWrVoxatQo9u7di6WlJQMGDDAuyPndd9/Rp08fkzh8fX3p2LHjNe+tOWvQiTBKqbeUUvcqpe5R\nSn3ckG2L+tWUhwmK65P8mS/JnXmT/JkvyZ15k/w1fVlZWRw7dgxXV1dcXV0ZNGiQcfpF//792bZt\nGwaDgbi4OAYMGABAy5YtCQ0NZePGjWzevJkHHnig2nUT3N3d+e2334ztbN++3djOs88+a2zn/fff\n59y5c+j1ehYuXFilnvnz5+Pl5UVQUBAvvvgi5eXlbN26lX/961+89dZbbNu2jaCgoGrfVlHbBUmb\nN28OwG+//UZ6ejp6vR4rK6sq5crKypg2bRqhoaEEBgZy7NixKu3GxMSQlJREUlKSSYdNbWVlZbFo\n0SLjvXr//fev+3rO6q7R29ub9u3bs3nzZnbt2kXLli3x9vYmMzPTpMPB0tISvV5PVlYW3bp1Izo6\nmocffpjevXvzyy+/VNvWhg0bCAkJwc3NrdbXpZRi27ZtNG/eHF9fX+P+6vKbmZmJn59ftWtUXP5d\ny8rKIjg42Lg/ODiY4uJi41SQq139uzhixAg+++wzALZt28aDDz4IVE5F+fbbbwkMDOSjjz6q9XWZ\nG1mhQwghhBBCCNGk+Pj40LZtWxITE0lMTOTo0aMcP34cgLCwMAICAvjqq6/YunUrw4YNM543ceJE\nVq5cycaNGxkxYkS1dV/dKeDj40Pfvn2N7SQlJbFz506gcoTF+vXr2bFjB3PnzmXHjh0m9bi4uLBy\n5UoOHz7MunXrWLVqFUePHqVbt2706dOHVq1a4erqWm0Mzs7OnDlz5rr34fLDrlIKZ2dncnJyqKio\nqFLuo48+IjY2ljVr1rBjxw5CQ0OrlPHy8iIgIICAgACsra1rbKsmPj4+/OMf/zDeq2PHjrF48WIA\nmjVrVqUj5FrX+Nhjj/HFF1+wfv16Y54CAgJIT083ljEYDGRlZREQEADA2LFjSUtL44477qh2vQNN\n01ixYgXl5eWMGzfumtfy5/NmzpxJ27ZteeSRRygvLweqz6+vry+nT5+mrKysxvr0er3JGihpaWnY\n2toaO5n+3Pbl38UBAwaQn5/P8uXLcXNzo02bNkDl7/vXX3/NBx98wLhx40hNTa31tZkT6ZgQdULe\nB27eJH/mS3Jn3iR/5ktyZ94kf03fwIEDSU9PJy4uDqj61ocxY8YwceJEwsPD8fb2Nu5/4oknOHjw\nIAcOHGDQoEHXbefRRx9l586dJCQkoNPpKC4uNn4bvmvXLrKzs7GxscHR0ZHz58+bnJuQkMDJkydR\nSuHu7s758+cJDQ3l0KFD/PDDD5w9e5aioqJq242IiGDlypWcOHGCrKysWt2Tnj17YmlpyWuvvUZG\nRgZbt241HispKcHKygpnZ2dcXFyqHVVxLUopLl68SHZ2tvHncuyX7/vjjz/Oxx9/zIkTJ7CysuL8\n+fPGaRshISHExcWRlZXF0aNHjde4dOlSMjMzq4yseOKJJ9i0aRNffPEFTzzxBFD5YP7rr78SHR1N\nWloaL7zwAj4+PoSHh3Py5EkOHz7MuXPn8PPzq5KLy+zs7IiNjWXnzp3ExMTU+totLCz48MMPOX/+\nPHPmzAGqz2/Xrl1xdXVl0qRJ/PLLLyQlJRljuXyfxowZw4cffsjGjRtJSUlhypQpjBkz5rpxWFhY\nMHHiRKZNm2ZcQBQqR0/k5OTg6uqKlZUVFy5cqNV1mRvpmBBCCCGEEEI0qj9/W+/q6srWrVtZtWoV\nd9xxBxEREezatct4fMyYMZw/f56xY8eanGdtbc1jjz1G//79TUYF/Ln+y9t33HEHn3/+ObNmzSI0\nNJQ+ffqQmJgIwLx582jZsiVdunShR48eDBkyxKSOVatWERYWRvv27fH09GT8+PE8/PDDDBo0iMjI\nSPR6PQcPHjS+daS8vBxLS0ug8m0Xzs7OdOjQgXbt2tGhQwecnZ2veW/s7OxYu3YtGzZsoF27dnz4\n4Yc4OTkBlW+haNeuHeHh4ej1enJycvDx8anFnb/SxjvvvGMcUREYGMjatWtNXiP6yCOPMG3aNEaN\nGkVwcDCPPfaYcUTE7Nmz2bt3L3feeSdz584F4K233uLXX3+ldevWDBw4kC5duhiv38vLiwceeIAu\nXbrg5+cHgKOjI5s3b2b16tW0adOGI0eOEBcXh6ZpJCUl0b9/fwIDA1mzZo1xpEZ13N3dWbFiBVOn\nTiUvL++ar0K9+v42a9aMmJgYoqOjSUlJqTa/lpaWbNq0iR9//JGwsDAeeOABUlJSTNro2rUrS5cu\n5emnn6ZTp060aNGCBQsWVGnv8uert6OiojAYDMaOidLSUmbMmEFQUBB9+/ZlwoQJdO7cuZZZNS9a\nbeY2NYQ/VpRt7DDETYqPj5dvH8yY5M98Se7Mm+TPfEnuzNvtlr/armdQnZTtmZw+eg6Pli7cNTDo\nusP9G9Nvv/3G6dOnGTRoEHFxcYSFhTVqPIsXL+bYsWPMmzePI0eO0Lt3b44dO0ZISMhN1/njjz/S\nvHlzysrKeOutt/jpp5+MC4EK81VYWIhSinnz5vHLL7+wZs2aRo2npr8Zf+yvlz8ClvVRqRBCCCGE\nEKJpKy0u4+iXaZQWldHqAT1uAY4mx798MYFvl/5IuaECCysLOgwLZVTMA40U7bUZDAZCQkKws7Pj\n3//+d6N3SgDk5uayatUqtm/fzrlz53jxxRf/UqcEwLPPPsvhw4exsrIiIiKCFStW1FG0ojEtW7aM\nWbNm0aNHD1avXt3Y4TQKGTEhhBBCCCHELay6bz8vXSwlutPn/Ha6EJRC0zSe3/UwAZ28AMj/tYiZ\ngR9QVlJuPMfKzpLp+4fjE+YOVM6p3zLnAHveSUJnodH31U5EjL+r4S5MCFEvGmPEhKwxIYQQQggh\nxG3mm6U/cv7kRUoLDJQWllFSYGDN+CtrOBRdKMHCyvRRwcJKR+G5S8btnYuOsGPeD/x+upALWQWs\nn7ybI+urvsbxRpw9exaDwfCX6qiNgwcPXvdVl0KIhiMdE6JOyPvAzZvkz3xJ7syb5M98Se7Mm+QP\nfssuMBkNAZCfe+UNEs1DnLB2sII/fTfq2+7KKw8PfHyM0qIrr000FJVx4OPjNx1TSUkJXl5eDdJh\nMGzYMA4fPvyX6ykuLq5VuTfffLPK4plCiCukY0IIIYQQQojbTOsH9DSzv7LcnKW1BXf08r+y3cyC\n5+OH4NXaFZ2lhluQI899/TB2LlfedGHj2MykTk2nYetiuu9GNOS07rpYxHP8+PG8/vrrtSo7efJk\n1q9f/5fbFOJWJWtMCCGEEEIIcQurab74ln8eYMucA1SUK1o/oOepdQ9h7VD7joX0vTksfeBLSovL\n0HQa1naWTD84As87XG8qzkuXLmFnZ0dGRgYBAQE3VUdtBQcHs2zZMvr373/Tdfztb3+jefPmREdH\n12FkQjQ+WWNCCCGEEEII0SAeejWcNy89w5uXnuHvWwbfUKcEQHBXH6bsHUafGR3p+/I9zEgcecOd\nEomJibRv3x57e3sefPBB4/60tDT69u2Ls7Mz9913HydOnADgp59+ol27dri6uuLm5sbEiRN54okn\ncHZ2xsfHh9jYWGMdJ06c4P7778fGxoaOHTvyww8/VBvD6NGjGTlyJACxsbGEhYVhb2+Pj48PBoOB\nZcuW4eHhgZOTEw8//DC///47UDnCY+HCheh0Onx9fQH473//i4+PDw4ODkRGRpKVlQXArFmzGD58\n+A3dGyFuJ9IxIeqEzNU0b5I/8yW5M2+SP/MluTNvkr8rNE3DwvLmHwn82jVn8L+7MWD2vTQPdrqh\ncw0GA4MHD2bQoEEkJSUxYcIEACoqKhgxYgShoaEcOXKEdu3aMXbsWADy8vLIzs4mOTmZ7du388kn\nn+Di4kJiYiKTJk1iwoQJVFRUUF5ezuDBg+nUqRMpKSk8/vjj9OvXj8LCQmP7Sinmz59PcnIyq1at\nAio7Snx9fUlNTWXXrl1YWVnx0EMP8f3335OQkMDRo0d5++23jXU8++yz5OXl8fPPPwMQHh5OfHw8\nR44cobi4mDfeeOOm760QtxPL6xcRQgghhBBCiLq1b98+CgsLmTNnDpqm4e3tzahRo7h06RI//fQT\n3333Hba2trzxxht4eXkZF5q0sLDA29sbb29v7r//fnx8fAgKCmLcuHG89NJLnDp1ilOnTpGbm0t0\ndDQWFhZMmzaNjz76iI0bNzJixAgA1q5dy65du9i3bx82NjbGuFxcXPD19TWOgggNDTUee+SRR0hO\nTjZu29jY4ObmZtz28/Mzfh49ejSffPJJ/dw8IW4x0jEh6kTPnj0bOwTxF0j+zJfkzrxJ/syX5M68\nSf6ahtOnT+Pr61tlIcrvvvsOg8Fg7BiAypEdp0+frlKHq6sr+fn5xs8ABQUFZGZm4ufnh4WFhbFs\nSEgImZmZQOVoiQ0bNtC2bVuTjoXqvP/++yxZsoQzZ86g0+mIiIgwietqcXFxzJkzh6ysLKytrfHy\n8qrNrRDitidTOYQQQgghhBANLiAggKysLEpLS03233vvvdja2nL48GESExNJTEwkPT2dwMDAKnVc\nvUjf5U4CpRR6vZ7s7GzKyq68zvTEiRPGRTU1TWPFihWUl5czbty4GmNMS0tj3LhxzJkzhz179jBo\n0CDjMWtra5PYL126xIgRIxg7diwJCQmMHTu2Qd80IoQ5k44JUSdkrqZ5k/yZL8mdeZP8mS/JnXmT\n/HR8mWMAACAASURBVDUNnTt3xt/fn4kTJ5Kenm5c4NLR0ZHQ0FCWLFmCwWAAKh/6LS2rDvau6cG/\nS5cu+Pj4MH36dNLS0oiOjubMmTMmb+Gws7MjNjaWnTt3EhMTU209paWl6HQ6XFxccHR0xM7Ozthm\nSEgI8fHxZGRksG/fPsrLyykrKzOWdXR0/Cu3R4jbinRMCCGEEEIIIRqchYUFX331FadOnaJDhw5E\nRETQqVMnHB0diYuLIykpibvuuou7776bDz74wHje1dMnNE2rsg2g0+n46quv+OGHH2jTpg2ffvop\nmzdvxsHBwSQGd3d3VqxYwdSpU8nLy6tSX+vWrXnllVcYPnw4vr6+rF69mpYtWwIwduxY3N3dCQsL\n48knnwRg2bJlTJ8+HV9fX+bMmcOdd95ZbZxCCFNaUxlepGmaaiqxCCGEEEIIcau4erqDEEJcT01/\nM/7YXy89bDJiQgghhBBCCCGEEI1GOib+P3t3Hld1lT9+/HUvXLhsF7gIirITipriboqpZZOlltlI\nZZNL5TJTWuaS1sxkOdOilmna1DRNrn21pJhMTU0F+6k17iiKgLIqEOASAsp6fn8wXrmyFyoffT8f\nDx4PPvdzPue8P+fdg7zv+znniiYhazW1TfKnXZI7bZP8aZfkTtskf0II0bxIYUIIIYQQQgghhBA3\njewxIYQQQgghxC1M9pgQQjSG7DEhhBBCCCGEEEKI24oUJkSTkLWa2ib50y7JnbZJ/rRLcqdtkj8h\nhGhepDAhhBBCCCGEEEKIm0b2mBBCCCGEEOIWJntMNC/Z2dmcPn2aHj163OxQhKiR7DEhhBBCCCGE\nEI106dIlq+O9e/fi6+tLaWmp1e/Nwccff8y8efN+1bWNvZfLly83qN1XX31F9+7daz1fXFyMr68v\n+/fvb1B/QjSWFCZEk5C1mtom+dMuyZ22Sf60S3KnbZK/5qNVq1bo9XqcnJxo3749f//736moqGhU\nHxkZGbi4uFBUVGR5rVevXqSmpmIwGKx+b4iAgAD0en21n7lz5zYqrtrodL/+A+fG3Mv999/Pv//9\n7wb1+/vf/569e/fWet7e3p7U1FR5ykNcN7Y3OwAhhBBCCCFE81OYnc+2cavJi83Era0n9y37A65B\nLZp0jJycHHbu3Em7du04ceIEf/rTnygvL2fOnDkN7qO8vJyKiopqj57b2NjU+Ht9YmNjKS8vZ9eu\nXTzzzDMkJiYC4ODg0OA+6vJbl9U09F4a+4RIff02Zg6FaCx5YkI0iYEDB97sEMRvIPnTLsmdtkn+\ntEtyp22Sv0rp359gbff5rAr9O/ve2oqq8qRCRVk5X/dfTMb2RIqy88nalUxk+CJKC4ut+igtKuF0\nTBKZu05RXlr+q+Lw8PDAy8uL/v37M2HCBMsTLU899RQmk4mWLVvy8ssvW9rPmTMHf39/jEYjjzzy\niOUJBBcXF/R6PZ988gkxMTF4enoCWP0OMGDAAJydnfHx8WHRokXV4nF1dcVsNmMymdDpdJjNZsxm\nM8nJyRiNRoqLK+egoqICs9lMXFwce/fuxcfHB0dHR3r27MnRo0cBSExMpE+fPpb+9uzZY/XExNat\nW/H29iYjI6NBsVW9l3PnznHvvffi6emJk5MTX375pVVbpRRTpkxBr9fTt29fAJKTkxk8eDCurq70\n69ePU6dOAbB8+XJ69uwJVO6Bce+99+Lo6IiPj4/lXvR6PcePHwfgiSeeoHXr1hiNRtq2bcvu3bst\n46alpXHvvffi4OCAl5cXAwYMACA1NRW9Xm95sqXqveTm5tKjRw9atGiByWTiD3/4A88//zwtWrTA\nbDbzj3/8w9L/K6+8YsnJ008/bSnAREVFERgYiNFo5IEHHqg2d6J5k8KEEEIIIYQQt5nsvWlsfORf\n5B48zYWEHPa/uZW9f9tiOf9L8lkKM39BlVUWK1SFoqyohNzDZyxtCrN+YXX7N9k4/F+sH/IxX/RY\nQElBcbWx6nPlCYL09HTWrVtHaGgoADNnzuT48eMsX76cRYsWWd787ty5k6eeeoqUlBQWLVpkuT4t\nLY28vDzGjh1b53gLFy4kISGBv/3tb8yYMcNSFKhPx44d8fb2tsRx6NAhnJ2dufPOOwkJCeG7774j\nPj6eNm3a8NJLLwGQmZnJiRMnOHDgAIcPHyYsLMwSb0JCAmPHjmXdunX4+vo2Orb8/HxiYmLYtm0b\nJ06c4L777rM6r9PpmDdvHnl5eWzZsgWlFI899hjBwcEcPnyYzp07M378+BrnR6/XExcXx/r16wkM\nDKzW5r///S9vvfUWaWlpjBw5ktGjRwOVxZphw4bRsWNHEhISWLVqFf/v//2/eue2sLCQgwcP8uOP\nP7Jv3z5+/PFHsrKy+Omnn1iyZAlTp07l3LlzAIwZM4bDhw+zceNG1q9fbynITJo0iZdeeomkpCTe\neuutescUzYsUJkSTkLWa2ib50y7JnbZJ/rRLcqdtkj9I/L/9lBVdfdS/rKiE4//+0XJscDRQUW69\n10NFeQUGx6t7G+ycEklh5i+U5F+m9GIxFxJy2Dd3c6Nj6du3L05OToSGhhIcHMx7770HQFhYGD4+\nPjz44IN07dqV+Ph4oPINd5s2bfD29iYgIMDSj4eHB2azGXt7+zrH6969O23atOHpp5/Gw8ODhISE\nBsc6ZMgQNm+uvMfvv/+eoUOHAuDu7k6nTp3w9/dn4sSJllgBbG1tCQwMJCgoCCcnJ3Q6Hbm5uQwb\nNox58+bRr1+/3xRbSEgIvr6+mM3mauecnJwwm824uLhw4sQJ4uLieO+99wgMDOSNN95g586dVntz\nALi5uZGfn4+joyPdunXD2dm5xnG9vLxo2bIlL730EqmpqWRlZbF3715Onz7NwoUL8fPzw9/fv/5J\nraJNmza0a9eOhx56CHd3d+644w7+8Ic/4OjoyLFjxwBo3749fn5+9OnTh/vuu88y125ubpw/f57W\nrVvTrVu3Ro0rbj4pTAghhBBCCHGbsXUwgN56E0Ybu6vbzzn7uBP8aBi2jnaV7R0NtOoTQIuwNpY2\n5xNyLE9UAJQXl3HueFajY/nqq69IS0ujqKiIlStX4ujoSFlZGTNmzCA4OBh/f38SEhIoKSlpdN/X\nunjxIs888wz+/v4EBweTn5/fqH6HDh3Khg0bAFi/fr2lMLFnzx769++Pt7c3U6ZMqXN/B6UUR48e\nJTs7mzvvvLPJYqtPRkYGpaWltG7dGnd3d9q2bYtOpyMzM9Oq3fTp0xkwYADt27dn4sSJFBYW1tlv\nixaV+45cuHCBlJQUfH19a9yc88oSlobsseHm5sbFixetjgsKCgB45513CA0NpU2bNkRHR1vmKCoq\nih9++AF/f39WrVpV7xiieZHChGgSslZT2yR/2iW50zbJn3ZJ7rRN8gd3TgrHztneUpywdTTQ+29D\nrdrcv2o0A5b8njv/FE74/OE8vOlP6PRX3z606u2P3v5qMcPW0YB33+qP/dendevWlje3V6xatYqo\nqCjWrFnDtm3bCA4OrvV6O7vK4klDNnt89913OXbsGOvXr2fTpk24u7s3Ktb77ruPnJwcvv/+exIS\nEhg8eDAAo0aN4p577mHXrl38+c9/rvPNt06n49577+Xtt99m2LBhnDlzpkliu5adnZ1VYaNVq1Y4\nODhw6NAhYmNjiY2NJSUlxeqpE6j8Bo4FCxaQmJjI0aNHefvtt+scp2rBwdXVlaysrBq/WcXV1RWo\n3PC0PjqdzmoOrxxHR0czb948Pv74Y3744Qd69+5tadOxY0e2b9/OihUrmDBhAklJSfWOI5oPKUwI\nIYQQQghxmzEFePDEwZl0+lM/Qsf0ZGjUeNqN6m7VRqfX0+GZPtzzj8fp/Hx/bAzW38pw9/uP4tXV\nBxujARt7W3wHtaPrTOt9Dn6tkpISDAYDrq6uuLm5WX0Cr5SyetPq6emJs7MzX3zxBSkpKSQnJ9fZ\nr9FoxGQy4e7u3uhvmrCzs2PUqFGMHTuWiIgIS1wlJSWYTCacnZ0tb8BrcyX2yZMn8/DDD1v2Z/it\nsV0rKCiIzZs3k56ezsGDB+ncuTPBwcEsXrzYUsS5fPkytrbWX9R44MABTp48SXFxMZ6enpa9HRpi\n4MCB2Nra8te//pXU1FS2bLm6b4mbmxsdOnTgvffe48yZM/z888+NvqeSkhJsbW1xdXXF1dUVo9Fo\nObd161aysrJwd3fHYDBw/vz5Rvcvbh4pTIgmIWs1tU3yp12SO22T/GmX5E7bJH+VXIM9Gbg0gt+t\nGI3f/e0bfb2di5GRe15idOJfGJsyh2HrJ1YrXtSn6jdUVDV69Gg6d+5Mz5498fX1JSsrC29vb8s1\nVa8zGAy8//77zJkzh27duvHtt99atSkvL7e8+Z46dSr29vbceeed+Pv7Y29vX+PeDHXFN2HCBH7+\n+WerjSM/+ugjPv74Y3x9fXn22Wfp1KlTrX1UjW3hwoWcOnWKf//73w2OrWp/tc0fwIwZMzh79izt\n27fnhRdeACqXnxw7dow777yTrl27smLFimoxffvtt3Tv3p22bduSn59v9Y0o9c2To6Mj69atY8OG\nDXTu3JmVK1diMpks7VasWMHu3bu54447mDJlCnfddVet91XTvf3ud79j5MiRDBo0iNatW7Nnzx78\n/f0pLS1l1qxZBAQEMHjwYCZNmkSvXr3qjVs0H7rf+j26TUWn06nmEotovJiYGHksUsMkf9oludM2\nyZ92Se607XbL37WPxd9Ofv75Z9566y0OHTrEDz/8cLPDuS0cOXKEFi1aUFZWxgcffEBcXJxlw1Ch\nDbX9zfjf67VXw37LmM3lj5QUJoQQQgghhGh6t3NhwsfHBycnJ5YvX06fPn1udji3hbvvvptDhw5h\nMBgIDw9n6dKl1faxEM2bFCaaSSxCCCGEEELcKm7nwoQQovFuRmFC9pgQTULWamqb5E+7JHfaJvnT\nLsmdtkn+hBCieZHChBBCCCGEEEIIIW4aWcohhBBCCCHELUyWcgghGkOWcgghhBBCCCGEEOK2IoUJ\n0SRkraa2Sf60S3KnbZI/7ZLcaZvkT9xqioqKuHDhQo3nkpOTSU9Pr/b6+fPn2b17d5PGUVxczE8/\n/VTjufz8fAoKCpp0vIaOfbMVFhaSn59/s8No1qQwIYQQQgghhGhWunXrRlRUVL3tioqKbkA0zd/Q\noUP5/PPPazz3zDPP8O233wLw/vvvM2LECAC++eYbpk6d2qRx/Pjjjzz00ENAZaHA19eX/fv3AxAW\nFsbOnTubdLzaxr5eRowYweLFixt93X333cd//vOf39THrU4KE6JJDBw48GaHIH4DyZ92Se60TfKn\nXZI7bZP8NR96vZ7jx49Xe33fvn2WN9C12b17N4GBgdcrtAbZu3cvrq6u6PV63N3dueuuu/jqq69u\nSiw6Xc1L/3U6neXcSy+9dMPis7e3JzU1lR49etQbo1Z89dVXvPjii5ZjHx8f9Ho9er2eDz744Ff1\nISrZ3uwAhBBCCCGEEM2PUoqcDXspOJqKY0hrWo3sd8PeWNrY2NTbprS0lIqKihsQTe2KioqwtbUl\nJyeHS5cusWPHDp5++ml8fX3p1avXDY2loRuc6vU37rPpa/Oo9U1Yr527uLg4y3+DTk5Ov6oPUUlm\nRTQJWaupbZI/7ZLcaZvkT7skd9om+atUVnCJ0yu2kfbRRoqSs6qdj5/2CbGj5pH42iqOPv0+sU/O\nu2FvLAMCAti4cSMAubm5PPbYY7i7u9OlSxf27dtnaXf27FnLJ9Zbtmxh+fLl9OzZ03L+9ddfJyIi\ngvz8fAwGA8nJyZZzYWFhbNiwAYAFCxbg5eWFm5sbs2bNoqysDID4+Hh69eqF0WgkKCiIvLy8arHq\n9XpatGiBr68vY8eOJTw8nF27dtUZe2FhISNGjMDZ2RkvLy+2bNkCwPTp0/Hx8cFoNHLHHXcQGRlp\nGWfgwIF8+OGHVnO0adMmoPIN/yeffIKnpyeenp68//77Nc7rlfm41pEjR/Dy8uLQoUMArFy5Eh8f\nH5ydnRk/fjyFhYUAZGdnc++99+Lo6IiPjw9Hjx6tcZyqc1P1iZg5c+bg7u6Oj48Pa9eutbxe2zyd\nO3eOe++9F09PT5ycnPjyyy85ffo0gYGBODg40KFDB6Kjo+sdOzU1Fb1eX23pT2338+qrr2I2mzGb\nzTz99NOUlpYC1jkYOHAgn3/+uaVdu3btLP/Nnjt3juHDh+Po6Midd95JSkqKZcyqfURFRREYGIjR\naOSBBx6ocy5vdVKYEEIIIYQQ4jZT+kshuzo/x/Hn/8GJ6f9iV+fnOf9jvOV8cfY5Mj7aRHnhZSiv\noLzwMjnr/0tBXKqljaqoIOHV5WzzfILtrZ4k9YNvmiy+qssPJk2aRGlpKfv37yciIoJRo0ZZCiRm\ns5m8vDzy8vIYNGhQrf2YTCbCw8MtRam8vDySkpIYNGgQa9euZfHixURFRbFz5042bdrEwoULgco3\n0qGhoSQkJLB69Wo8PDzqjPu///0vBw4coF27dnXGvmLFCk6ePMmBAweIjo6mS5cuABw8eJAJEyaQ\nlpbGm2++ybhx4/jvf/9bbU6uHFfVoUMH9uzZw6pVq5g7dy7ff/99rXNbVU5ODo888ghLliyha9eu\n/Pjjj0yZMoVPPvmEAwcOcOrUKWbOnAnAwoUL0ev1xMXFsX79+kYvpbn77rs5ePAgCxYs4OmnnyYx\nMbHWeYLKDTNjYmLYtm0bJ06c4L777sPT05PIyEiSkpIYOHAgEyZMaFQMVdV2P1OmTOHYsWPs2rWL\n/fv388UXX1jm7sr81ZSPK8fPP/88ZWVlHD58mA8//BBbW9sa202aNImXXnqJpKQk3nrrrV99H7cC\nKUyIJiFrNbVN8qddkjttk/xpl+RO2yR/kLZkPZfPnKO88DIVl0ooL7zMsT8ttZwvvVCIzmD9GL7O\nYEPp+avfqpA8L5LUxd9QmpdPyc8XSHxlOZlrm3Zzw6KiIr755hveffddgoODeeWVV8jNzSU+vrKI\notPpLJ9YV33zd4VSylLEGDp0KJs3bwZg27ZtDBgwAAcHB5YvX860adMIDw8nLCyMuXPnsmzZMgDc\n3Nw4f/48bm5u9O3bt8alLOfOncPd3R17e3sGDBjA5MmTGTp0aJ2xu7m5UVhYiI2NDR07dqRly5aW\n/jw9PWnZsiWPP/44Y8eOZfny5fXOk06n4+677yYkJIQHHniAsWPHWt5M1zQnV1y6dInhw4fz9NNP\n8/jjjwOwYsUKxo4dy5AhQ2jXrh0LFy5kxYoVlvnIz8/H0dGRbt264ezsXG9sVf3ud78jMDCQUaNG\nMXjwYL788st6cwwQEhKCr68vZrMZe3t7unfvjo+PD5MnTyY5OdnyRENj1XY/27ZtY/Dgwdx///38\n/PPPnDhxosF9lpeX8/XXX/P222/Ttm1bBgwYgK+vb63jnz9/ntatW9OtW7dfdQ+3CilMCCGEEEII\ncZspzjqHKrF+M1eS+4vld8egVti6OoG+yhtxvR6XsCDLYdYXO6koKrYclxcVk9XEhYnTp0+jlKJH\njx64u7vj4eFBYWEhWVnVl55A5Rv02pabDBkyhK1bt1JaWsr69esZOnQoABkZGVaf/AcGBlq+XnP+\n/Pm0bNmSgIAAZs+eTXl5ebV+3dzciI2NZceOHej1egYPHlxv7KNGjWLChAn06dOHkSNHkpOTU2PM\nISEhlljqurdrBQQE1DpHVWVkZHDo0CG6d+9u9dq183Hp0iXy8vKYPn06AwYMoH379kycONGyxOPX\nCAwMJCsrizNnztQ4T5mZmTVeFx8fz4MPPkjr1q155JFH0Ol0tRYm6puvmu4nPj6eiRMn8te//pXo\n6Gi6d+9OSUlJtWtry0deXh6lpaW1FiOqioqK4ocffsDf359Vq1bV2/5WJoUJ0SRkraa2Sf60S3Kn\nbZI/7ZLcaZvkD1o80AO9o73lWG800OL+q5/Y6u0M9N45H1NYEHoHO5xCfegd/Q4G16sb/Nm6XbPZ\nn16HwezSpHG2atUKgB07dhAbG0tsbCzJycmEh4djZ2dX7Q2pq6srubm5luOqTzh07NgRPz8/vv32\nW7Zs2cLIkSMB8PX1tdp7Ijk5GX9/f6Cy6PDpp59y6NAhIiMjLU9SVKXX6/Hz8yM8PJypU6fywgsv\n1Bu7TqfjlVdeISUlhbKyMqZNm2bpr+qb3bS0NFq3bm25t9oKGNdKSkrCz8+v3nZt27bliy++4Mkn\nn+TIkSO1zoeDgwMtWrTA3t6eBQsWkJiYyNGjR3n77bcbFE9NEhMT8fPzq3OeavLHP/4RX19fYmJi\nWLJkSa3Fh4bMV033c+zYMYKCgoiIiCAkJMQSX0P79/T0xGg0kpSUVOfYUPnf5Pbt21mxYgUTJkxo\n0DW3KilMCCGEEEIIcZtp+VBv2s4djY2jPTpbG1o80IOOHz5n1cYp2Jvwg0sYXPQf+sd/gqnK0xIA\nofOfxcbJCHodOlsbbF0cueMvTzQ6luzsbE6fPm35qcpkMjF06FDmz5/PpUuX0Ov15OfnYzQaCQgI\noKCggO+++46kpCQyMzPp3bs32dnZrFy5kpycHM6dO2fV39ixY5k8eTI9e/a0vOEcN24c77//Prt2\n7eLw4cPMmTOHcePGAbBnzx7S0tJQSuHh4VGtv2u9+uqrpKWlERkZWWfs8fHxHD9+nIsXL+Lt7W3p\nVynFrl27OHXqFN9//z0rVqywbFYZHh7OmjVriIuLIzs7u1pRJjs7m8zMTL788ktWrFhhuQeTyURc\nXFyNT3sADB8+nNmzZ/P4449z+fJlxo4dy8qVK9m4cSMnTpxg2rRpjB07FoADBw5w8uRJiouL8fLy\nqjYfJpOJ/Px8UlNTaxzr9OnTnDlzho8++oidO3cyatQoXFxcap2nmpSUlODs7IzJZMJsNtc6dnh4\nOEuXLiU9Pb3Wp0dqup/g4GCSk5OJjo4mLy+P/Pz8Gq+tLR96vZ4xY8bw4osvcuTIETIyMqyeLKla\nSNm6dStZWVm4u7tjMBg4f/58jWPdFq6su7rZP5WhCCGEEEIIIZpSff/Orqio+NV9X4xPV4lvrFZJ\nb65VRek5jb5ep9NZ/ej1eqWUUgEBAWrjxo1KKaXy8vJURESEcnJyUiaTSY0ZM8Zy/RtvvKE8PDyU\np6enioyMVEoptWzZMuXv76/s7e2Vr6+vmjt3rqV9bm6usre3V+vWrbOKY/78+crT01O5urqqWbNm\nqbKyMqWUUuPHj1dOTk7KxcVFDRs2TJ0/f97quujoaOXp6Wn12rx581Tv3r3rjP2TTz5RHh4eymg0\nqu7du6sDBw4opZQaOHCg6ty5s2rRooUym81qwYIFln6LiorUk08+qdzc3JSLi4vq2LGj5brp06er\nVq1aKaPRqDp27Ki+/PJLy3WbN29WPj4+aseOHer1119XERERSimlli9frnr27KmUqvxvoGfPnuov\nf/mLUkqplStXKh8fH+Xk5KSeffZZVVhYqJRS6vXXX1cmk0k5ODioAQMGqJSUFKt7Ly8vV8OHD1f3\n33+/Jb/Hjh1TSin1xBNPqBYtWigHBwfVvXt3FR0dbbmutnlKSUlRer3eMr5SSu3atUt17txZ2dnZ\nKRcXF9WpUydVXFxcbexTp06p8PBwZTQaldFoVCaTSRUXF1vFW9v9vPbaa8psNiuDwaBsbGzUm2++\nqZRSql+/fuqf//xnvfkoLCxUzz33nGrZsqVydHRUoaGhlvsdOHCg+vDDD1VJSYnq0qWLsrOzUy1a\ntFDTp09XzUVtfzP+9/p1qQfoVDP5LlmdTqeaSyxCCCGEEELcKhqzN4G4ue655x4iIiJ47rnn6m8s\nGqxv374sXrzY6qtkGyIqKoply5axevVq0tLS6N+/P1999RX33nvvdYq0eajtb8b/Xq++A2wTkKUc\noknIWk1tk/xpl+RO2yR/2iW50zbJnxC3j9LSUn755RfLcpTGOHPmDNu3b+ef//wnffv25dFHH73l\nixI3S/Xv1BFCCCGEEEIIccNFR0ff7BBuOQaDgWPHjv2qaydPnszkyZMBmDlzZlOGJa4hSzmEEEII\nIYS4hclSDiFEY8hSDiGEEEIIIYQQQtxWpDAhmoSs1dQ2yZ92Se60TfKnXZI7bZP8CSFE8yKFCSGE\nEEIIIYQQQtw0sseEEEIIIYQQtzDZY+L6KSgoIDExkW7dul2X/i9cuICdnR2Ojo7XpX8hanLL7zGh\n0+lidDrdjzqd7v/pdLqXb+TYQgghhBBCCG3o1q0bUVFR9bYrKiq6AdHULjIykkmTJgFw+vRpWrZs\nSWZmZpP13759e/bv3w80fE5ulNLSUsrLyy3HVe//esyFuLXd6KUcdkB/pdTdSqn5N3hscR3JWk1t\nk/xpl+RO2yR/2iW50zbJX/Oh1+s5fvx4tdf37dvHiBEj6rx29+7dBAYGXq/QGs3Hx4fMzExat259\nXfpvyJzcSE5OTiQkJFiOq97/9Z4Lceu50YUJN+BunU7X4gaPK4QQQgghhGikiqJLlCSmUFFQeEPH\ntbGxqbdNaWkpFRUVNyCahmtI3M2x71+jrKys2uP+VWNsbvGK5u1GFyYWAQ8B+3Q63cM3eGxxHQ0c\nOPBmhyB+A8mfdknutE3yp12SO22T/F1VcbGAstxzNa4nL9q2m+SWfUjvPoJkrz5c/HLTDYsrICCA\njRs3ApCbm8tjjz2Gu7s7Xbp0Yd++fZZ2Z8+eRa/Xo9fr2bJlC8uXL6dnz56W86+//joRERHk5+dj\nMBhITk62nAsLC2PDhg0ALFiwAC8vL9zc3Jg1axZlZWUAxMfH06tXL4xGI0FBQeTl5dUac2pqKnq9\n3rK85KmnnsJkMtGyZUtefvnqKvaq9wbWT42kpaXRv39/HB0d6dWrFxcvXmzUnBQWFjJixAicnZ3x\n8vJi8+bN1eLs168fXl5eGI1GwsPDOXLkiOXcK6+8gtlsxmw28/TTT1NaWgrAxx9/TEhICI6O5Yi+\njgAAIABJREFUjnTt2tXSvlOnTuj1el599VWr+2/oXAhxhe2NHEwp9QmATqf7D/B3YH3V8+PGjSMg\nIAAANzc3unTpYvkfx5VH7uRYjuVYjuVYjuVYjuVYjuW44cc1UUqR++Lf+eXjNaDXY39nCG22LsPG\n7AZARUEhmSOeRxVc3cPh56dn43B3D2y9vSyvXT4QR/7K/6Az2OI68XHs2jbN0gqdTodOV7nH3qRJ\nk1BKsX//ftauXcuoUaNISkoCwGw2k5iYCIDJZGL16tU19mMymQgPDycmJsZSYEhKSmLQoEGsXbuW\nxYsXExUVhbOzM0899RQeHh68/PLLzJkzh9DQUNatW8eZM2fw8PBo8D3MnDmTd955h6NHjzJ8+HCG\nDx9OeHi41b1d64knnqBDhw4sX76c+Ph4Hn/88UbNyYoVKzh58iQHDhygrKyMFi2qP6i+Z88etmzZ\nQvv27fnnP//J4MGDSUxMxMXFhTFjxvCnP/2JM2fOMGzYMAYNGsRTTz3FTz/9RHh4OG+//TaFhVef\nntm1axehoaE4OjqSnZ3d4Ll4+OGH6devX4PnUtx4MTExHD58mAsXLgCVhbfrSil1Q34Amyq/Pwxs\nuOa8EtoVHR19s0MQv4HkT7skd9om+dMuyZ223W75q+nf2b+s/kYlOXZWiYRU/hg6qDOP/Mly/vKx\nJJXk0uXqeULUSdduqjD6J0ubop17VZJjp8rzurYqyTlMXT6W1KjYdDqdOnbsWLXXAwIC1MaNG1Vh\nYaHS6/Xq5MmTSimlysvLlclkUseOHVPR0dGqRYsWVtctW7ZM9ejRw3I8Z84cNXLkSKWUUvPnz1cR\nERFKKaXWrFmjHnjgAaWUUoMHD1bvvfee5Zqvv/5ahYaGKqWUmjBhgho2bJi6cOFCjfFXHS8lJUXp\ndDpVWFhYrV2vXr3Uv/71L6t7u3YO0tPTlV6vtxqrVatWaufOnQ2ek88//1wFBgaqpKTa83DtnHfs\n2FGtXbu2WrvHHntM/fnPf1ZKKTVu3Dg1c+bMOvupev8NnQvRPNX23vx/r1+XeoH++pY9rITrdLqD\nOp3uR+BFYNoNHFsIIYQQQgjxP5d2HUAVXbr6Qmkpl/8bazm0be0FpWVW16iSEgwBbSzHea++hyq6\n/L+TClV4ifPz/tWkcZ4+fRqlFD169MDd3R0PDw8KCwvJysqqsX1dX406ZMgQtm7dSmlpKevXr2fo\n0KEAZGRkWG2iGRgYSHp6OgDz58+nZcuWBAQEMHv2bKtvoahLWVkZM2bMIDg4GH9/fxISEigpKakz\nxszMTJycnHB1da2z77rmZNSoUUyYMIE+ffowcuRIcnJy6o01JCSEjIwMAN555x1CQ0Np06YN0dHR\nlpiBX/2Vs3XNhRBX3LDChFLqB6VUN6VUH6XUIKVU4o0aW1x/Vx4ZFNok+dMuyZ22Sf60S3KnbZI/\nsAsJQGe0v/qCTofB7+o3KNi4mfD619/RORjRu7qgc7DH481pGAJ8LG0qCi9hRSkqLhY0aZytWrUC\nYMeOHcTGxhIbG0tycjLh4eHY2dlZ9kC4wtXVldzc3Cq3dXXJRMeOHfHz8+Pbb79ly5YtjBw5EgBf\nX1+rvSeSk5Px9/cHKpeXf/rppxw6dIjIyEiWLVvWoLhXrVpFVFQUa9asYdu2bQQHB1vFWFPBwM/P\nj4KCgnqLCXXNiU6n45VXXiElJYWysjKmTav/s+DU1FS8vb2Jjo5m3rx5fPzxx/zwww/07t27zusM\nBkO1+a9JXXMhxBU38okJIYQQQgghRDPg+tyT2HVqi87ZEZ3JGb2bCy2XvW3VxvTUcPwTtuAd+QH+\ncRtxf+lp6z6e+T06JwfLsc7RiGnco42OJTs7m9OnT1t+rGIwmRg6dCjz58/n0qVL6PV68vPzMRqN\nBAQEUFBQwHfffUdSUhKZmZn07t2b7OxsVq5cSU5ODufOnbPqb+zYsUyePJmePXta3uCPGzeO999/\nn127dnH48GHmzJnDuHHjgMr9GNLS0lBK4eHhUa0/k8nEmTNnOHv2rNXrJSUlGAwGXF1dcXNzw2Aw\nWM6Fh4fz6aefcurUKcuTCgDe3t4MHjyY8ePHk5iYSGpqao1v/Ouak/j4eI4fP87Fixfx9vauFu8V\nmzZtIjU1laVLl3Lq1CmGDBlCcXExtra2uLq64urqitFotLSv6WmJoKAgvvrqK9LS0jhx4kSN49Q3\nF0JYXK81Io39QfaY0LTbba3mrUbyp12SO22T/GmX5E7bbrf81fbv7IrSUlW4fY+6+O0OVZZ3rtH9\nVlRUqHPz/6WSAwaqlDsGqV9WRDW6D51OZ/Wj1+uVUtb7MOTl5amIiAjl5OSkTCaTGjNmjOX6N954\nQ3l4eChPT08VGRmplKrc98Hf31/Z29srX19fNXfuXEv73NxcZW9vr9atW2cVx/z585Wnp6dydXVV\ns2bNUmVlZUoppcaPH6+cnJyUi4uLGjZsmDp//rzVdRcvXlT9+vVTzz77rEpNTVV6vV4VFhaqwsJC\nFRERoVxcXJS9vb3y8/NTX3/9tSWGBx98UDk7Oys3NzfVtWtXdfr0acu9jho1Snl4eChnZ2fVuXNn\ndfz48QbPySeffKI8PDyU0WhU3bt3VwcOHKhxznv37q2cnZ1VcHCw+v7775VSlXtV/PGPf1Tu7u7K\nYDCo1q1bq6VLlyqlat5jYsOGDcrf31+5uLioGTNmWN3/yZMnlU6nU8XFxXXOhWieavubwXXcY0Kn\nfuVaoaam0+lUc4lFNF5MTIw8Fqlhkj/tktxpm+RPuyR32na75a+ufRfE7Uev1xMXF0eHDh2uS/9n\nz57ls88+Y8mSJZa9OoS21PY343+v1/yVMr91zObyR0oKE0IIIYQQQjQ9KUyIqmxsbDh69Oh1K0yE\nh4eTkZHBkiVLGD58+HUZQ1xfUphoJrEIIYQQQghxq5DChBCiMW5GYUI2vxRNIiYm5maHIH4DyZ92\nSe60TfKnXZI7bZP8CSFE8yKFCSGEEEIIIYQQQtw0spRDCCGEEEKIW5gs5RBCNIYs5RBCCCGEEEII\nIcRtRQoToknIWk1tk/xpl+RO2yR/2iW50zbJnxBCNC9SmBBCCCGEEEJoyoEDBygoKLjZYYhaHD9+\nnNzc3JsdhtAQKUyIJjFw4MCbHYL4DSR/2iW50zbJn3ZJ7rRN8qd9PXv2JD09HYARI0awePFiAJRS\nXL582aptt27diIqKalC/xcXF+Pr6sn///qYNuAZFRUVWx++//z4jRoyo9rsWDRkyhH379gEwdepU\npk6depMjEs2dbH4phBBCCCHELaw5b37ZqlUrcnJycHBwwM/Pjz/84Q+8+uqr6PV1f36q1+uJi4uj\nQ4cOVFRUWNrff//9DB8+nOeff97Stry8HBsbmwbH1Nj2v8b//d//sWjRIvbu3Wv1etV7qfp7fb7+\n+mtGjx7NpUuX8PDwoFOnTrz22ms3rQgXGBjIhx9+yJAhQ1BKodNdl/0SxXUim18KzZK1mtom+dMu\nyZ22Sf60S3KnbZK/hlG5uahHR6ACA1APDEZlZDT5GDk5OezcuZOUlBT++c9/smbNGv72t781qo+q\nb95LS0urnW9skeF6FyUASkpKanzjV/VeGlqUAMjPzyckJITc3Fz27t3Lww8/zEMPPUTGdchZY0lR\nQjSEFCaEEEIIIYS4DakffkD1C0d16YJa9L7VG2VVXg73DISNGyEtDbZvh759UNcsP1DFxaiffkLt\n348qK/tVcXh4eODl5UX//v2ZMGGCpXB06tQp+vfvj9FopFu3bhw8eLDG6wcOHMiHH35YGY9STJky\nBb1eT9++fQEICAhg06ZNAEyfPh0/Pz+MRiO+vr5WSzzOnDnDww8/jJubGz169ODIkSPVxtqxYwft\n27fHxcUFd3d3pkyZwqVLl4DKYkNoaCiOjo4EBQXxxRdfWK4bMmQIrVq1wsHBgXfffRedTseBAwfQ\n6/XY2NiQkJDA66+/TkREBIDV7xkZGQQGBuLg4ECHDh2Ijo6ucR4MBgMeHh4EBgYydepUfHx8LEtS\n9Ho9x48fByA1NRW9Xk9RUREVFRVMnDgRNzc33N3d+eyzz6rN6ZU53LhxY7Uxn3rqKUwmEy1btuTl\nl1+uMa5x48Yxc+ZMAPbu3YuPjw+Ojo707NmTo0ePAnDs2DG6dOmC2WzGwcGB3//+91y8eBGA+Ph4\nevXqhdFoJCgoiLy8vDrH/uijj/D29sbR0ZEJEybUGJNofqQwIZqErNXUNsmfdknutE3yp12SO22T\n/IE6eBCGPAh79sCRWPjLX2DevKsNkpMrCxJXnkAoL4eLF+HQoat95ORAxw4w+H64954aCxcNiuV/\nBZH09HTWrVtHaGgoFRUVPPzww/To0YMTJ07w5JNP8uCDD1JYWFjtep1OZ/lUXqfTMW/ePPLy8tiy\nZYvltSsOHjzI+PHjycjIYPbs2YwdO9ayiebo0aNxdnbm4MGDDB48mNGjR1cbKz09HRsbG5KSkoiJ\niWHv3r1Mnz4dADs7O1asWEFSUhLPPPMMEyZMoLi4GIDNmzfz6aefcvLkSZ566imUUoSFhZGXl0du\nbi4hISFW91GVl5cXkZGRJCUlMXDgwHrfbFdUVLB582ZSUlIICQmps+3mzZtZv349O3fuZO/evQwa\nNKjanNZ0fMXMmTM5fvw4y5cvZ9GiRezevbtam6rXhoSE8N133xEfH0+bNm146aWXAMjNzSU9PZ3j\nx49z+PBhTp48ybvvvgvAnDlzCA0NJSEhgdWrV+Ph4VHr2BcvXmTy5MksXbqUEydO8OKLL9Z5/6L5\nkMKEEEIIIYQQt5vVq6FqEaGoCD7+6Oqx0VhZjKiqvLzy9StemAIZGZUFi4ICiIuDv/+90aH07dsX\nJycnQkNDCQ4O5r333mPv3r1kZ2ezYMECAgICmDFjBq1atarxU/trOTk5YTabcXFxqfF8ixYt8PT0\n5LnnngPg6NGjZGVlERMTwwcffEBQUBCvv/46CQkJNS6FcHBwoFWrVoSFhbF06VKWL19uOde7d2/a\ntGnDtGnTKCgosLo+KCiINm3a0KpVKwBsbW0xm82YzWb0ej1KqRqXd9jb29O9e3d8fHyYPHkyycnJ\nNS5ZOXz4MO7u7tjb2/P444/zwQcfcOedd9Y5V66urhQXF1NWVkZISAj+/v51tr9WWFgYPj4+PPjg\ng3Tt2pX4+Pga2125L3d3dzp16oS/vz8TJ060am9jY0OrVq1o164do0eP5scffwTAzc2N8+fP4+bm\nRt++fS1FjprGtrOzw8nJiV9++QU/P7967180H1KYEE1C1mpqm+RPuyR32ib50y7JnbZJ/gA7O7h2\nDwNb26u/+/jA0KHg6Fh57OAA3bpB165X2xw7fvWJCoDLl+Fo9eUP9fnqq69IS0ujqKiIlStX4ujo\nSHp6Om3atLHa7yEoKMjyTRxNQafTYTabuXDhgqWAEBISgru7O15eXpSVlZGZmVlnHyEhIVy+fJm8\nvDyysrIYOXIkvr6+dO/eHahc3vFbxcfH8+CDD9K6dWseeeQRdDpdjYWJDh06EBsby5dffkl5eTmD\nBw+2Ol9T0SM8PJwFCxbwyCOPMGjQIE6ePAk0bMPUsrIyZsyYQXBwMP7+/iQkJNR7v3v27KF///54\ne3szZcqUGu8DKpf3XLhwAYD58+fTsmVLAgICmD17NuXl5bWObW9vz6ZNm/jHP/5Bu3bt2Lx5c53x\niOZDChNCCCGEEELcbiZMAEcnuPJ4vqMjvPaa5bROp4O1X8C8+TBmDLzxBmz9Hl3VYkb37mBvf/XY\nwQF69Wp0KK1bt6ZFixZWr/n6+nL69GnKquxbcerUKfz8/Orsy87OrlHFgCtvwFu1aoWNjQ0//fQT\nsbGxxMbGkpycTNeqhZgapKWlYTAYMJvNzJ49m+LiYrZs2UJkZGS9cdb2prxqbAB//OMf8fX1JSYm\nhiVLltRaMLCzs8PPz48RI0bw8MMPM2PGDMs5V1dXcnJyarxu/PjxJCcn07ZtW8aNG1dv+ytWrVpF\nVFQUa9asYdu2bQQHB9d7L6NGjeKee+5h165d/PnPf671XqoWRtzc3Pj00085dOgQkZGRLFu2rM6x\n+/Xrx/79+/nLX/7Co48+almqI5o3KUyIJiFrNbVN8qddkjttk/xpl+RO2yR/oAsOhr17Ydw4+P1I\n+L816MaMtW5jY4Pu+efRLV+BbsZMdFWLEACLFkGHDpVFDQcHuPtumDW7SeLr3bs33t7ezJw5k+Tk\nZBYsWEBOTg5DhgwBwMXFhcOHDwPWTwIEBQWxefNm0tPTa90ss6Y3w35+fvTt25d58+ZRXFyMTqej\noKAAOzu7am3PnDnD7t27SUxMZNasWfz+979Hr9dTUlKCk5MTJpMJs9lc5/0FBQWRmJjI/v37iYuL\n4/z587W2LSkpwdnZuUH9XjFv3jw2btxo2fwyPDycpUuXkp6eTlZWlqVdWloahw4d4uzZs7Rp04Zz\n585Z2q9Zs4a4uDiys7NrLKKUlJRgMBhwdXXFzc0Ng8FgOWcymThy5Ei1uS4pKcFkMuHs7Iyrq2uD\n7mXPnj2kpaWhlMLDw4Nz587VOnZJSQnbt28nOzub1q1bc/nyZYp+xb4n4saTwoQQQgghhBC3IV1o\nKLp/f4Zu3Tp0Dz/c+Ovd3GDffjh0GOKOwXeb0dXwRr7OPmr5Kkm9Xs+3337LwYMH6dChA2vXruW7\n777D2dkZgFmzZvHCCy9QWlpq1ceMGTM4e/Ys7du354UXXmjUmF9++SXnzp2jS5cudO7cmaVLl9bY\nrqysjIkTJxIWFobBYLC0mzNnDmlpaYSEhBASEkLbtm1xcnKqccy77rqLMWPGcN999/HAAw9w/Phx\nq00iy8vLLctY3n33XbZv346/vz+DBg3izjvvxLbqshuqb07p6+vLuHHjLBtIfvDBB/z888+EhoYy\nbNgwevfuja2tLXFxcQwZMgR/f3/WrFnDokWLAHj++efp2bMn/fr1IzAwkOzs7GqFhNGjR9O5c2d6\n9uyJr68vWVlZeHt7AzBt2jQWLlxISkoKZWVllng/+ugjPv74Y3x9fXn22Wfp1KlTjXmpej+fffYZ\nHTt2JCwsDC8vLyZOnFjr2Hl5eTz//PP4+fkxZswY5s+fj5eXV415FM2Lrr61QzeKTqdTzSUW0Xgx\nMTHy6YOGSf60S3KnbZI/7ZLcadvtlr+G7BcgGmb58uV8+OGH7Nu377r0X15ezpkzZ3jiiSe47777\nmDt37nUZpzFeeeUVPDw8rJaGNERxcTGnT59m8ODBvPrqqzzzzDPXKULR1Gr7m/G/12uu7P1G8sSE\nEEIIIYQQQjRAbV+b2VSSkpIIDQ3FYDAwefLk6zZOY+Tk5PDBBx/UujSmNjExMXTu3JmOHTvy5JNP\nXqfoxK1CnpgQQgghhBDiFiZPTAghGkOemBBCCCGEEEIIIcRtRQoToknI94Frm+RPuyR32ib50y7J\nnbZJ/oQQonmRwoQQQgghhBBCCCFuGtljQgghhBBCiFuY7DEhhGgM2WNCCCGEEEIIIYQQtxUpTIgm\nIWs1tU3yp12SO22T/GmX5E7bJH/NX7du3YiKiqq3XVFR0Q2IRntOnz5Ny5YtyczMvNmhCNEgUpgQ\nQgghhBBC3BR6vZ7jx49Xe33fvn2MGDGizmt3795NYGDg9QpN03x8fMjMzKR169Y3OxQhGkT2mBBC\nCCGEEOIW9mv3mFBKUfj9fyhOPIpdQAjOQx5Hp2/azzX1ej1xcXF06NCh0dfGxMQQERFBbm5uk8Yk\nxO1O9pgQQgghhBBC3BAVBRf5Zd2/ubByCSWpSdXO5/7tBbJnjubcktf5+c8TyJ76+A3bRDMgIICN\nGzdWxpGby2OPPYa7uztdunRh3759lnZnz55Fr9ej1+vZsmULy5cvp2fPnpbzr7/+OhEREeTn52Mw\nGEhOTracCwsLY8OGDQAsWLAALy8v3NzcmDVrFmVlZQDEx8fTq1cvjEYjQUFB5OXlWcWZmJhInz59\nMJvNmEwm9uzZw7hx45g5c6alzcCBA/nwww8BiIqKIjAwEKPRyIMPPghQa8zXqnrtAw88AEBpaSmh\noaE4OjoSFBTEF198AUBqaip6vZ6ioiKr36GyoOPp6WmZ2969e9OiRQuMRiP33HMPWVlZljGjo6MJ\nDQ3FaDTi4+PDyy+/DEBJSUmN4wrxa0lhQjQJWaupbZI/7ZLcaZvkT7skd9om+YPyX86TNqwTuX9/\ngbz5L5M+vCuXDuy2nC/LzSb/y3+hLhWCUqhLhRTu3ERJYpyljaqoIHfeTE71MHOqtyfn//1ek8Wn\n0+nQ6So/mJ00aRKlpaXs37+fiIgIRo0aZSmQmM1m8vLyyMvLY9CgQbX2YzKZCA8Pt+Q+Ly+PpKQk\nBg0axNq1a1m8eDFRUVHs3LmTTZs2sXDhQgDmzJlDaGgoCQkJrF69Gg8PD6v+MzMzOXHiBAcOHODw\n4cOEhYVZxV7Tvbz00kskJSXx5ptv1nrvNal67VtvvQWAwWBgw4YNJCcnM2/ePCZMmEBxcXFDp5nC\nwkL27dvHnj17OHHiBAaDgdmzZwOQkZHBQw89xMsvv0xKSgrjx4+3FIXs7OxYsWIFSUlJPPPMM40e\nV4hrSWFCCCGEEEKI28yF1Uspy81CXSpClVxGXSokZ86fLOcr8i+ArcH6Ihvbytf/59zHb/PL//2D\nivzzVJzP4+wHr5G//vMmjbOoqIhvvvmGd999l+DgYF555RVyc3OJj48HKt/Em81mzGYztra21a5X\nSlmKGEOHDmXz5s0AbNu2jQEDBuDg4MDy5cuZNm0a4eHhhIWFMXfuXJYtWwaAm5sb58+fx83Njb59\n+9ZYNLC1tSUwMJCgoCCcnJws49bkSn+tW7emW7duNbZpzLVFRUW888473HXXXbz22msUFBSQkZFR\n63zWxsfHh4CAACZOnMiPP/4IwOeff07//v155pln8Pb2plWrVlbX9O7dmzZt2jBt2rRfPa4QV0hh\nQjSJgQMH3uwQxG8g+dMuyZ22Sf60S3KnbZI/KM/NhtIS69cunLX8bvALxsbkBlf2lNDp0NnaYtc+\nzNKm4LsvUZeufiuGulREwXfrmjTO06dPo5SiR48euLu74+HhQWFhodVyg6rq2k9jyJAhbN26ldLS\nUtavX8/QoUOByicDqm6iGRgYSHp6OgDz58+nZcuWBAQEMHv2bMrLy+uNua4YoqKi+OGHH/D392fV\nqlX1tq/v2r/97W/ExsYSFRXFmjVrgMplFtfGA7UXPKry8PDgwoXK4lNKSgohISE1tsvKymLkyJH4\n+vrSvXv3GscVojGkMCGEEEIIIcRtxmnAEHRGR8uxzt6IY/8Hrh4bDPh8/gP2Hbujc3DC7o4O+Kze\niY2zydLGxs1s3alej4279VKH3+rKp/Q7duwgNjaW2NhYkpOTCQ8Px87OjtLSUqv2rq6uVpthVn3C\noWPHjvj5+fHtt9+yZcsWRo4cCYCvr6/V3hPJycn4+/sDlU8pfPrppxw6dIjIyEjLkxR1uTaGqjp2\n7Mj27dtZsWIFEyZMIDExsc6Y67v26NGjPP7443Tt2pUuXbrUGg9ATk5OvbFXLZK4ubnV+hTE7Nmz\nKS4uZsuWLURGRtbbrxD1kcKEaBKyVlPbJH/aJbnTNsmfdknutE3yB073DMVj+tvonFzAYIfTPcPw\nem2pVRuDbyB+X+3ljtgC/DfGYd/2TqvzLWa9i87BCWxswGCH3tmE+bm/NjqW7OxsTp8+bfmpymQy\nMXToUObPn8+lS5fQ6/Xk5+djNBoJCAigoKCA7777jqSkJDIzM+nduzfZ2dmsXLmSnJwczp07Z9Xf\n2LFjmTx5Mj179rQUPcaNG8f777/Prl27OHz4MHPmzGHcuHEA7Nmzh7S0NJRSeHh4VOuvJuHh4Wza\ntImffvqJnJwcCgsLLee2bt1KVlYW7u7uGAwGLly4UG/MtV17/vx5goOD2bhxIykpKWRmZtZ4nZub\nGx06dOC9997jzJkz/Pzzz/XeA8DIkSPZuHEjkZGRnDp1it27d1uKJiUlJTg5OWEymTCbzfX0JEQD\nXFl3dbN/KkMRWhUdHX2zQxC/geRPuyR32ib50y7Jnbbdbvm7nv/OLk5OUHkfvanO/Wu+Ks063ejr\ndTqd1Y9er1dKKRUQEKA2btyolFIqLy9PRUREKCcnJ2UymdSYMWMs17/xxhvKw8NDeXp6qsjISKWU\nUsuWLVP+/v7K3t5e+fr6qrlz51ra5+bmKnt7e7Vu3TqrOObPn688PT2Vq6urmjVrliorK1NKKTV+\n/Hjl5OSkXFxc1LBhw9T58+etrouOjlaenp5Wr5WXl6sXXnhBeXp6KicnJ9W2bVu1ceNGVVJSorp0\n6aLs7OxUixYt1PTp0y3XXInZ1tZWGQwGNWHCBKs+a7s2Oztb3XPPPcpoNCp7e3tlb2+vUlJS1MmT\nJ5VOp1PFxcVKKaX279+vunTpooxGo/L09FTDhg1TSimVkpKi9Hq9KiwsrPF+PvroI+Xj46PMZrNq\n3769Gj58uFJKqfj4eHXXXXcpo9GonJycVLt27VRqamo92RZaUdvfjP+9fl3qATp1g77ypz46nU41\nl1iEEEIIIYS4VTR0DwNx88XGxvLcc8+xY8cO7O3tG3XtI488wqOPPsrQoUP57LPPWLJkiWWvjF+j\npKSE+Ph4WrVqxdmzZ3nxxRcZNGiQ5Vs7xK2rtr8Z/3u95rVGv1H1rWuFEEIIIYQQQtxw2dnZlq8D\nfeONNxp1bW5uLn/84x9p3bo1JSUlLFmy5DfFkp6eTkREBOnp6bi7u/PII48wbdq039SnELWRJyZE\nk4iJiZEdrjVM8qddkjttk/xpl+RO2263/MkTE0KIxrgZT0zI5pdCCCGEEEIIIYS4aeSJCSGEEEII\nIW5h8sSEEKIx5IkJIYQQQgghhBBC3FakMCGahHwfuLZJ/rRLcqdtkj/tktxpm+RPCCGQAHziAAAg\nAElEQVSaFylMCCGEEEIIIcSvUFBQwMGDB39TH9nZ2ezfv7+JImqc/fv3k5WVdVPGvtb58+fZvXv3\nzQ5D3CRSmBBN4nba2fpWJPnTLsmdtkn+tEtyp22Sv+avW7duREVF1duuqKjoBkRTu8jISCZNmvSb\n+vj444+ZN29eE0VUqaHzN3LkSA4dOlTt9alTpzJ16tQmjak+33zzTaPGHDFiBIsXL672u9Am25sd\ngBBCCCGEEOL2pNfriYuLo0OHDlav79u3Dxsbmzqv3b17N48++ig///zz9QzxutPpmn4vwYbMX11j\nL1q0qKlDanJfffUVer2+2u9CmyR7oknIWk1tk/xpl+RO2yR/2iW50zbJX8NVlJZwKSed8pLLN3Tc\nhrypLi0tpaKi4gZEc31dj29Macj8aV3VQoQUJbRPMiiEEEIIIcRtqry0mLKiizWeO3f0B7aP8uKH\nSe3Z9rgHP//4zQ2LKyAggI0bNwKQm5vLY489hru7O126dGHfvn2WdmfPnkWv16PX69myZQvLly+n\nZ8+elvOvv/46ERER5OfnYzAYSE5OtpwLCwtjw4YNACxYsAAvLy/c3NyYNWsWZWVlAMTHx9OrVy+M\nRiNBQUHk5eXVGfehQ4fo06cPrq6uDB06lNzcXAB27NhBx44dcXV1xdnZmUmTJlnGqGrr1q14e3uT\nkZFBTEwMnp6elnPX3tsVUVFRdOzYEScnJ7y9vSktLSUgIIBNmzYBMH36dPz8/DAajfj6+ta6xGPM\nmDGMGjUKgHHjxjFz5kwAPv/8c+644w6cnZ3x8fFh7ty5DBw4EEdHRzp16kRiYmKN8V2Z+2v95z//\nwdvbG2dnZ+655x4yMjKqtTly5AheXl6WZSbbt2+nXbt2GI1G+vXrB1Quyfrwww+r/d6Q/kXzI4UJ\n0SRkraa2Sf60S3KnbZI/7ZLcaZvkr/JT+hOfzeL7R53Z9riZH2f0o7TgguV82eVC9r/xEGVFv1BR\nXERFcRGH5z9J8blsq37yU46QsPwVEle9RlF2SpPFp9PpLMsMJk2aRGlpKfv37yciIoJRo0ZZnjIw\nm83k5eWRl5fHoEGDau3HZDIRHh5ueVomLy+PpKQkBg0axNq1a1m8eDFRUVHs3LmTTZs2sXDhQgDm\nzJlDaGgoCQkJrF69Gg8Pj1pjLioq4uH/z96dx1VV7Y//f+3DdDhMh4Mgg8yOaeGEmpY51LUcSi0t\nu6VmaJ9bWmqZNtwc6navmpnl+LuWlH6bHCgzTW8qNqg5gqioCDGpKDgjINP6/UGcPIIIBurW9/Px\nOA/P3nvttd57v7129zprrf3ww/Tq1Yu4uDgcHR159dVXAUhPT0fTNA4fPszPP//M6tWrWbx4sc35\nBw8eZMiQISxdupTAwMBq36v4+Hj8/f1JSkpi48aNODg42EzR2LVrF1FRUWRkZDBhwgSGDBlCbm6u\n9bhSimnTppGYmMiiRYsq3P+kpCQaNWpEamoq7777LpMmTWLIkCHs37+fJk2aMGHChErjutI0kcjI\nSGJjY4mLiyM/P5/JkyfbHD9x4gR9+/blo48+olWrVqSlpfHII4/w+uuvk5yczNy5cyvEeOn3q9Uv\nbk7SMSGEEEIIIcRtJuunr0n7bjaqpBhVUszZQ9tJmDXcejz/RBpcNsXAYOdAbuYB6/bpxC1sHXs3\nKV9PJfmrd/nlhQguZB6q1Tjz8vL49ttvee+99wgPD+e1114jOzubxMREoOyB1GKxYLFYsLevuHye\nUsraidGrVy9++OEHAH788Ufuu+8+nJ2diY6OZuzYsXTq1ImIiAimTJlifUA3m82cPn0as9lMx44d\nq1wPYtOmTWiaxptvvkloaCivv/66ddQHgLOzM97e3rRq1YpHHnmELVu2WI9lZ2fTu3dvpk6dah0R\nUBNmsxl/f3+aNm1a6fF69erh7e3N888/D0BCQoL12NKlS5kzZw4rV67EaDRWer6rqyv16tVj8ODB\nuLu706hRI0JCQnjyySeJi4ur9JwrTVEJCAigSZMmNGzYkMGDB1tzCZCfn88jjzzCM888w+OPPw7A\n559/Tvfu3RkyZAgBAQHcddddVd6LquoXNy/pmBC1QuZq6pvkT78kd/om+dMvyZ2+Sf7g5N5NlF78\n840WqriQM4l/vqrR6OmHKi6yOae0+CLO3kHW7YOLxlNyMQ9QUFpCScEFkr/+d63GmZmZiVKKtm3b\n4unpiZeXFxcuXLjiKy41TbviA3HPnj1Zt24dRUVFrFy5kl69egGQkZFBaGiotVxoaCjp6ekATJs2\njfr16xMSEsKECRMoKSm5YqwZGRkcO3YMT09PPD09uf/++zl58iRFRUUVynp5eXHmzJ8jVBISEsjK\nyqJFixbVupZrVd6RU962UopVq1YRFhaGxWKpVh1ms5nz58um/3h6elpHX1Q33pUrVxIZGYmvry9T\np061uT8ZGRns3r2bNm3a2OwLDg6u9jVWVb+4eUnHhBBCCCGEELcZU/1QDI62v447eQVYvzu4eXLH\n87MxODljb/LA4OhMwycnYvILs5apsDaFKqXowhlqk6+vL1C2RkN8fDzx8fGkpKTQqVMnHB0dKzx0\nenh4WNd1ANvpBM2bNycoKIjvvvuOtWvX8thjjwEQGBhos/ZESkqK9UHYbDazcOFCdu/ezbJly6wj\nKa4Ua2hoqDXOhIQEfv/9dxwcHCqUvfwhvlu3bvz73/+md+/eHDlyxHotZ8+erbIz5Fpc2ramacyf\nP5+SkhKGDx9+lTMrP7/8e1X3vlxBQQEDBw4kKiqKzZs3ExUVZXMfGjduzFdffcWTTz7Jnj17APDz\n8yM1NbVasV2tfnHzko4JUStkrqa+Sf70S3Knb5I//ZLc6ZvkD4J7v4BLQBPsnF2xd3bD3uTBXaM/\nsSkT2ONZ7pmbQMS4JXT6cCfhA23XEvDv9hR2TibrtsHJhH/Xp2ocS1ZWFpmZmdbPpdzd3enVqxfT\npk0jPz8fg8HAuXPnMBqNhISEkJuby5o1a0hKSuLo0aO0b9+erKwsPvvsM06cOMGpU6ds6hsyZAgj\nR460/qIOZQs9zpw5k19++YW4uDgmTpzI0KFDAdi8eTNpaWkopfDy8qpQn7u7O0eOHOHkyZN0796d\nc+fO8eWXX6KUoqSkpEadCiNHjuThhx/m6aefBqBp06aYzWamTZtGVlbWVRferEpVD+cmk4mYmBg2\nbNhAdHS0tXxNH+jbtWtX5b0HKCkpobi4GLPZjJubG25ubhXKPPLII0yYMIHHH3+cgoICHn/8cf73\nv/+xcOFC0tPT+e23364YQ2lp6VXrFzcn6ZgQQgghhBDiNmNnNNHxg220nPAVLcZ8Quf/HsQt9M4K\n5Vz8wvFp3xvXoGYVjoX2G0vogPE4Wfww1guk2fCZ+N3zaI1juf/++wkKCiIoKKjSIfvR0dGUlJTQ\npk0bmjdvzvTp0wHw9/fnrbfe4umnn6ZTp05s2bIFPz8/FixYwFtvvUVQUBAxMTE2axIMGTKEU6dO\nERUVZd33xBNP8NJLL9G/f3+6dOlCr169ePnllwFYtGgRzZs3JyIiAh8fH0aMGGET29/+9jfCw8MZ\nP348Li4urF27lhUrVtCkSRM6dOhgXdPi0sUZL9++9Pv7779PcnIyH3/8MUajkcWLFxMdHU1gYCBv\nvvkmnp6eFe7P5XVX5mrHvby8mD9/Pi+//DI5OTlXjK+quv39/a33PiAggHnz5lWI18XFhTlz5jBu\n3Dj8/f15++23adasWYV2xo8fj5ubG//6179o3Lgxy5cvZ9q0adZ1I/Lz823qLS4uxt7eHpPJdMX6\nxc1Nu1mGtmiapm6WWETNxcbGyq8POib50y/Jnb5J/vRLcqdvt1v+6mKtAnF9HTt2jIceeohNmzbh\n4eFxo8O5qvj4eJ5//nk2bNiAk5NTnbWTl5dHSkoK9957L8uXL6dbt2511tbt5Er/Zvyxv+permsk\nIyaEEEIIIYQQ4iaWnZ3N8ePHGTt27I0OpVqysrJISkri3XffrdN2lixZwt13303//v2lU0LnZMSE\nEEIIIYQQtzAZMSGEqAkZMSGEEEIIIYQQQojbynXtmNA0zV/TtMOapo2/nu2KuifvA9c3yZ9+Se70\nTfKnX5I7fZP8CSHEzeW6dUxommYEooFt16tNIYQQQgghhBBC3Nyu2xoTmqbNBP4HRAIFSqmplx2X\nNSaEEEIIIYSoZbLGhBCiJm7ZNSY0TWsNWJRSq4E6uRAhhBBCCCGEEELoj/11aqcP0FTTtI1ACFCq\naVqsUuq3SwsNHTqUkJAQAMxmMy1btrS+Y7p8LqBs35zbH3zwgeRLx9uSP/1ul3+/WeKRbcnf7bJd\nvu9miUe2a7Zdvu9mied6XK8QQtREbGwscXFxnDlzBoDU1NQ6be+6vy5U07SJQL5Satpl+2Uqh47F\nxsZa/yMo9Efyp1+SO32T/OmX5E7fbrf8yVSOupObm8uhQ4do3br1jQ7llnHu3DmMRiOFhYVXvLcn\nT57E1dUVJyenOomhpnktKSnh/PnzmM3mOonnertlp3KIW9/t9B/3W5HkT78kd/om+dMvyZ2+Sf5u\nfq1btyYmJuaq5fLy8q5DNFe2bNkynnvuuauWq+71XMnMmTPp16/fNZ9/NRcvXiQwMJAdO3bUWRvV\n9cILLzBr1iybe5uZmUn9+vU5evQoAN7e3iQnJ9dZDDXJ64oVK1iwYAHPPvtsncVzO7heUzmslFKT\nr3ebQgghhBBCiJopyDvNpqUvcCJ9J56+zeg6cB4uHn612obBYGDv3r3ccccdNvu3b9+OnZ1dlef+\n+uuv9O/fn+PHj9dqTHWhOtdTlTFjxvDSSy/VYkS2nJycSE1N/Usx1obdu3ezbt065s+fz9KlS637\nGzRowNGjR294fJcrz2tBQQHvvvsuW7Zs4e67777RYemSjJgQtULmMOqb5E+/JHf6JvnTL8mdvkn+\nymT9vpWY2ffz9YwOJPwy32botiotZcWHXTgct5wz2YdI3fc9S9+/m+LCfJs6SkqKyM6M4+TRvajS\n0lqLrToPoEVFRZTWYpt1qTYeqA2Gun10uxke+j/66COGDRuGi4tLhWOXx3czTE8qj8loNBIVFcVH\nH310gyPSL+mYEEIIIYQQ4jaTc2QPMXO6k3loPcfTfuOXb14mbuNM6/GzJ1M4m3OY0pJCAFRpMQV5\np8jO3G0tk3/hJF/85y6Wz7qXr9/vwPIPO1fouLhWISEhfP/99wBkZ2czcOBAPD09admyJdu3b7eW\nO3nyJAaDAYPBwNq1a4mOjiYyMtJ6fNKkSQwYMIBz587h4OBASkqK9VhERASrVq0CYPr06fj4+GA2\nmxk/fjzFxcUAJCYm0q5dO4xGI2FhYeTk5FQZ91NPPYW7uzv169fn1Vdftbme1atXAzBv3jz8/Pww\nmUyMGDHiqrEtXLiQ0NBQfHx8GD9+vPWBPCYmhtDQUIxGIw8++GCFWH755ReaN2+Ok5MTd955p3V/\nly5dcHV1pUGDBnzwwQfW/QaDgf3791f4npqaisFgsE6buffee6lfvz5OTk60bt2aAwcOWOvYs2cP\nbdu2xWg04ufnx9///nfrsfvuu6/Sdi+1Zs0aevfuXWH/5TEAPPvss7i7u9OoUSM2bNhg3Z+SkkKP\nHj3w8PDgnnvusU75OHToEHfffTcWiwV3d3e2bNnCtm3baNCgASaTicjISBISEiqNq6q8lv897dWr\nFz/88EOl54urk44JUStkrqa+Sf70S3Knb5I//ZLc6ZvkDxK3fUpx4Z8PecWFecRtmmXdtrNzrDgC\nQpVisHe0bv607EXO5iRTdDGX4sILnMjYxY5179ZKfJqmoWlla+w999xzFBUVsWPHDgYMGMCgQYOs\nD+cWi4WcnBxycnLo3r37Fetxd3enU6dO1tEyOTk5JCUl0b17d7788ktmzZpFTEwMmzZtYvXq1bz/\n/vsATJw4kaZNm3Lw4EGWLFmCl5dXlXGPGzeO/fv3Ex0dzQcffMCvv/5qjQPg/PnzjBw5ktmzZ3Pg\nwAFefPHFKmP76aefGDt2LAsWLGDt2rV8+eWXrFixwnpfxowZQ1JSEu++W/G+jx07lt69e3P48GEW\nLlxo3R8dHU1ycjJLlizhjTfeICMjo7ppAcqm0Hz++eckJydz5513WtdiyM3N5YEHHqB///4kJyfz\nzjvvsHnzZut577//PgcPHuTtt9/mlVdeqdBueno6x48fp02bNtWKo3///uzZs4eRI0fSt29fzpw5\ng1KKgQMHEh4eTlxcHHfddRdRUVEAHD16lAMHDrBz507rsUaNGrFmzRoSExMJCAhgzJgxlbZVVV7L\nc9uqVStyc3M5ePBgje6nKCMdE0IIIYQQQtxmDAY7QKtkXxlXz0ACm9yPvYMJADt7Ixa/Fng3aGUt\nk3N0D6UlRdbtkqJ8mxEVtSEvL49vv/2W9957j/DwcF577TWys7NJTEwEyh4MLRYLFosFe/uKy+cp\npaydGJf+ov3jjz9y33334ezsTHR0NGPHjqVTp05EREQwZcoUFi1aBIDZbOb06dOYzWY6duxofQi9\nkoiICBo0aMBDDz1Eq1atrHGWc3BwwMXFhbNnzxIYGEiLFi2qjO3//b//x5AhQ/jb3/5Gq1atePbZ\nZ62/0JfH5u/vX+nbI8qPe3t70759ewBKS0uZO3cuHTt25Nlnn6W0tPSaHqT9/Pxo0KABI0eOZOvW\nrQCsWrWKevXq8frrrxMQEEBAQIDNOW3atCEgIIBnnnkGLy+vCu0eP34ck8mE0WisVgy9e/cmJCSE\nl156ibCwMFatWsWBAwfYu3cvM2bMIDQ0lMmTJ7Np0yby88tG8tjb2xMaGkpYWBguLi54enpy5513\nEhwczIgRIyrkq9zV8lpet9ls5sSJE9WKX9iSjglRK2Supr5J/vRLcqdvkj/9ktzpm+QP7ujwLA6O\nJso7J+wdTLR54DXrcU3T6Bm1gnY9JxEe8RhtHniN/qM22nRe1AuIwGD35wgKOwdnvIOq92t3dWVm\nZqKUom3btnh6euLl5cWFCxc4duxYpeWrejVqz549WbduHUVFRaxcuZJevXoBkJGRQWhoqLVcaGgo\n6enpAEybNo369esTEhLChAkTKCkpuWKsxcXFvPLKK4SHhxMcHMzBgwcpLCy0KWM0Glm9ejVz586l\nadOm1s6IqmL7+OOP8fT0xNPTk6lTp1qvPSYmhp9++ong4GAWL15cIZ5PPvmEkydPEhgYyIwZMwD4\n73//y9KlS1myZAkrV67Ew8OjQozlqrOGQ7169SgqKiIvL4/ff/+d8PDwSsudP3+eYcOGERwcTHh4\nOOfOnavQbmlp6TWvoxEaGsqxY8fIzMykqKgIf39/PD09ady4MZqmWd/mcbnNmzfTuXNn/Pz8GDVq\nFEVFRRXKVCev5ezs7Kr8OyKu7Lq/lUMIIYQQQghxY3nWb8JjY7ewY92/KCw4T7N2Q2jUeqBNGTs7\nB9p0H3fFOu579ENyMuM4fyoNRSk+gW1pe0nnRm3w9fUFYMOGDTbTKHx8fNi1a1eFB0kPDw+ys7Ot\n25eOcGjevDlBQUF89913rF271jpdIzAw0GZ9h5SUFIKDg4GyUQcLFy7kzTff5P7776dhw4bWqQGX\nW7x4MTExMXzxxRd4enryxBNPVFrunnvuYceOHSxevJj+/ftz4sSJK8bm5+fHM888w/jx463nOzs7\nW69n/fr1rF+/nl69etGhQwcaNWpkLdegQQOWL19OfHw83bp1IyIigoSEBHr27Gl9c0R5XZfz8PCw\nxlWVS++vh4cHmZmZlZZ777332LdvHytXrsRoNNK1a9cKZby9vcnNzaW4uLjS0S9VSUpK4oknnsDX\n1xdnZ2d2795t08nh7+9f6ZSVQYMGMXToUBYtWsSmTZts7nO56ua1tLTUOkJF1JyMmBC1QuZq6pvk\nT78kd/om+dMvyZ2+Sf7K1PO/kweHfsnD//d9hU6J6jC6WBg0Po7Hxm7m8Vd20H/URuwdqjcM/1JZ\nWVlkZmZaP5dyd3enV69eTJs2jfz8fAwGA+fOncNoNBISEkJubi5r1qwhKSmJo0eP0r59e7Kysvjs\ns884ceIEp06dsqlvyJAhjBw5ksjISGunx9ChQ5k5cya//PILcXFxTJw4kaFDhwJlv6inpaWhlMLL\ny6tCfe7u7hw5coSTJ09SWFiIg4MDHh4emM1mHBwcKlxrYWEh69evJysrC39/fwoKCqwLOlYW21NP\nPcXXX3/Nvn37sLe359y5czg5OQGwbt06jh07hqenJw4ODpw+fdqmrY0bN5KZmYnRaMTNzY1Tp04R\nHh5ObGwsBw4c4Pjx45WOEADo1KkTs2fPJj09/YqjUy738MMPc+DAAebOncvvv//Ohg0brB0XhYWF\nGI1G3N3d8fT0rPQNICEhIZjNZuLj4yvc28qkpaWRnp7OW2+9xcmTJ+nZsyctWrQgPDycWbNmWa+t\noKDgih0dhYWFuLu74+rqioeHh3V/TfMKWHPUpEmTat0vcZnyeVc3+lMWihBCCCGEEKI23cz/P1vT\nNJuPwWBQSikVEhKivv/+e6WUUjk5OWrAgAHKxcVFubu7q8GDB1vPnzx5svLy8lLe3t5q2bJlSiml\nFi1apIKDg5WTk5MKDAxUU6ZMsZbPzs5WTk5OaunSpTZxTJs2TXl7eysPDw81fvx4VVxcrJRSKioq\nSrm4uCg3NzfVu3dvdfr0aZvzzp8/r+655x717LPPqgsXLqgBAwYoNzc35eTkpIKCgtSKFStsrufI\nkSOqSZMmysHBQfn7+6vp06dfNbbo6Gjr9YSHh6s9e/aowsJC1bJlS+Xo6Kjq1aunXn755Qr3tkeP\nHspoNCoPDw81ePBgVVhYqC5cuKD69u2rXFxclJOTk7Kzs1M///yzKi4uVpqmqYMHDyqllEpOTlad\nOnVSzs7OymKxqA4dOqjCwkKllFIGg0Ht27dPKaXU77//rgwGg7pw4YJSSqmYmBjVsGFD5eHhoe66\n6y4VERGhlFIqKytLPfDAA8pkMimj0ajCw8PVli1bKsQ8YMAA9c4771S4t6mpqTbt3HPPPcrT01O5\nuLiozp07q/j4eGsdqamp6oEHHlBGo1FZLBb1+uuvK6WU2rhxo/L29rZprzxeBwcH5eHhobp27XpN\neVVKqenTp6uHH364wjXp0ZX+zfhjf530B2jqJnj/K4CmaepmiUXUXGxsrPz6oGOSP/2S3Omb5E+/\nJHf6drvlr6p1F8Tta/To0fj4+DB8+HDWr1/PsGHDOHny5BWnd1THrl278Pf358KFC0ycOBFXV1fm\nz59f7fNjY2MZNmwYhw4dqvF0jhuppKSE5s2b88EHH1T66la9udK/GX/sr3oF2GskUzmEEEIIIYQQ\n4jZz4sQJpkyZwqBBg3jxxRd5//33/1KnxLlz5xg6dChhYWF06NCBkpKSSl9jWpUuXbrQuHFj5s6d\ne81x3Agff/wx9evXvyU6JW4UGTEhhBBCCCHELUxGTAg9OXLkCEaj0Wax05vd2bNnOXv2LEFBQTc6\nlFpxI0ZMSMeEEEIIIYQQtzDpmBBC1IRM5RC6Je8D1zfJn35J7vRN8qdfkjt9k/wJIcTNRTomhBBC\nCCGEEEIIccPIVA4hhBBCCCFuYTKVo24dO3YMPz8/659VOXXqFEePHqVFixbXKTohak6mcgghhBBC\nCCFue61btyYmJuaq5fLy8q5DNFeWm5tLnz59mD17Nk8++eRVy3/44YdMnjwZgG3bthEYGEhRUVGV\n5yxfvpw2bdrUSrzXIj8/32a7X79+zJo1q8J3If4KGTEhasXt9j7wW43kT78kd/om+dMvyZ2+3W75\nu5lHTBgMBvbu3csdd9xhs7+kpAQ7O7sqz/3111/p378/x48fr8sQr2rv3r08/fTTrF27Fh8fnyrL\nTp48mb1797J06VKgetdZk3K1bcSIEXh4eDB9+nTrvtLSUgwGQ4Xv4tZxI0ZM2NdFpUIIIYQQQohb\nQ3FJIfZ2jte1zeo8hBcVFVFaWnodoqlaixYt2LlzZ7Ue0C9/2KtuZ8ON6JQAKh3Ncel1SqeEqC3y\nN0nUitvpV4dbkeRPvyR3+ib50y/Jnb5J/qonMyeef0YHMnaekdcWepN89Jfr1nZISAjff/89ANnZ\n2QwcOBBPT09atmzJ9u3breVOnjyJwWDAYDCwdu1aoqOjiYyMtB6fNGkSAwYM4Ny5czg4OJCSkmI9\nFhERwapVqwCYPn06Pj4+mM1mxo8fT3FxMQCJiYm0a9cOo9FIWFgYOTk5NnF26dIFg8GAvb09BoOB\nbt26AfDNN9/g5+eHq6srXbt2JSMjo8I1xsbG4u3tXeE7YHMdV/p+6fVdbsaMGYSEhODs7ExgYCBz\n5861Htu2bRsNGjTAZDIRGRlJQkICAIcOHeLuu+/GYrHg7u7O5s2bUUoxY8YMDAYD/v7+1mueM2dO\nhe/VuWYhrkQ6JoQQQgghhLgNxcZ/yCsL3Bg915GP1wygsPjPtQSKiguY/U13zuRmolDkFuQw77ue\nXMg/aVPHqfPpbNozm1/2zud8fnatxaZpGppWNmL8ueeeo6ioiB07djBgwAAGDRpkHXlgsVjIyckh\nJyeH7t27X7Eed3d3OnXqZH1VbE5ODklJSXTv3p0vv/ySWbNmERMTw6ZNm1i9ejXvv/8+ABMnTqRp\n06YcPHiQJUuW4OXlZVP/ypUrycnJ4cCBA3h5efGPf/wDgMjISGJjY4mLiyM/P9+6rkRtK79Hl0tI\nSOCBBx4gLS2N//73v0yaNImvv/4agEaNGrFmzRoSExMJCAhgzJgxABw9epQDBw6wc+dO4uLiiIiI\nQNM0XnjhBXJycti/f7+1zfJ2L/1+va5Z3JqkY0LUCnkfuL5J/vRLcqdvkj/9ktzpm+QP9qZ+z8ot\nr3GxKJeS0iL2pa5i6aaR1uMnz/1OcUmhzTmaZuDoqb3W7aMn9/Lu5y345tdxrKxyIM8AACAASURB\nVPh5LO/+v+acyT1Sq3Hm5eXx7bff8t577xEeHs5rr71GdnY2iYmJf8SkYbFYsFgs2NtXnKWulLJ2\nYvTq1YsffvgBgB9//JH77rsPZ2dnoqOjGTt2LJ06dSIiIoIpU6awaNEiAMxmM6dPn8ZsNtOxY8cK\nHQHu7u5YLBZef/11Hn30UevohYCAAJo0aULDhg0ZPHiwNd7adqW1QzRNw2w24+Pjw4MPPsi4ceOs\n1+Tp6cmdd95JcHAwI0aMsInN3t6e0NBQwsLCcHFxAcBoNGKxWDCbzVXGcr2uWdyapGNCCCGEEEKI\n28z+1NUUFf/5RouikgIS03+wbrs6e1NyWcdESWkh7iZf6/aKn8dwsSiX4pICikryybt4mjXbptRq\nnJmZmSilaNu2LZ6ennh5eXHhwgWOHTtWafmqFvrs2bMn69ato6ioiJUrV9KrVy8AMjIyCA0NtZYL\nDQ0lPT0dgGnTplG/fn1CQkKYMGECJSUlFer98ssviY+PZ+bMmdZ9K1euJDIyEl9fX6ZOnXrVN29U\nd4HSa13ItFGjRtZr2rx5M507d8bPz49Ro0ZVK7bqqOk1C3Ep6ZgQtULmauqb5E+/JHf6JvnTL8md\nvkn+wN3ki53BdkFLk/HPaQquzvV4sN1EHO1Nf3xc6HjHcOp7NrGWOZ9/AvjzIblUFXMuL6tW4/T1\nLesI2bBhA/Hx8cTHx5OSkkKnTp1wdHSs8PDr4eFBdvafU0oufahu3rw5QUFBfPfdd6xdu5bHHnsM\ngMDAQJu1J1JSUggODgbKRkwsXLiQ3bt3s2zZMuuog3Jnz55l7Nix/Pe//8XZ2RmAgoICBg4cSFRU\nFJs3byYqKuqqnQkeHh6cPXu20o6P6l5fVdLS0qxrRAwaNIiuXbvyyy+/8MYbb1QZm6OjI4WFhVc8\nXu5arlmIS0nHhBBCCCGEELeZzhGjcHfxw9HehL2dEUd7F57oMs+mTI+2rzGq7wYevXcW/9fnex7r\nPMvm+J2hD+Nob7JuO9qbuCvskRrHkpWVRWZmpvVzKXd3d3r16sW0adPIz8/HYDBw7tw5jEYjISEh\n5ObmsmbNGpKSkjh69Cjt27cnKyuLzz77jBMnTnDq1Cmb+oYMGcLIkSOtv+wDDB06lJkzZ/LLL78Q\nFxfHxIkTGTp0KFA2uiAtLQ2lFF5eXhXq+/e//02rVq248847ycnJ4fTp05SUlFBcXIzZbMbNzQ03\nNzeb60lJSSE3N9emnqZNm2I2m5k2bRpZWVkVFtks165duyqvr5xSip07d5KYmMhvv/3GBx98YJ1m\nUlhYiLu7O66urnh4eFSZm7CwMGJjY0lNTWXr1q1XLFdaWnrFaxaiWsrnXd3oT1koQq82btx4o0MQ\nf4HkT78kd/om+dMvyZ2+3W75u9L/z86/eE5t3vexio3/SB0/fajG9RaXFKnPN4xQo+ca1dh5LmrV\n1rdUaWlpjerQNM3mYzAYlFJKhYSEqO+//14ppVROTo4aMGCAcnFxUe7u7mrw4MHW8ydPnqy8vLyU\nt7e3WrZsmVJKqUWLFqng4GDl5OSkAgMD1ZQpU6zls7OzlZOTk1q6dKlNHNOmTVPe3t7Kw8NDjR8/\nXhUXFyullIqKilIuLi7Kzc1N9e7dW50+fdrmvLCwMJv4Q0NDlVJKzZ8/XwUGBip7e3tlsVjU008/\nrZRSKj09XUVERKjJkyer2NhY5e3tba1rzZo1qnHjxsre3l45OTmpBx54QCml1MKFC1WHDh2s5cqv\nz97eXjk4OKjhw4dXuK9Dhw5VTZs2Vf7+/srNzU298sor1tzExMSohg0bKgcHB+Xh4aG6du2qlCr7\n38Wl8ZTf+27duimTyaSaNWumcnNzVZcuXdScOXOUUkrdc889asGCBVVes9CfK/2b8cf+OukP0NRN\nMsRG0zR1s8Qiai42NlaGReqY5E+/JHf6JvnTL8mdvt1u+bvWdQnEjXHs2DEeeughNm3axPnz5xk9\nejQmk4nPPvvMplx8fDzPP/88GzZswMnJyebY0KFD8fHxYdq0aXUSY15eHikpKdx7770sX77c+ppU\ncWu40r8Zf+yv3vyhGpKpHKJW3E7/cb8VSf70S3Knb5I//ZLc6ZvkT9zMsrOzOX78OGPGjKFx48ak\npKTw5ptvViiXlZVFUlIS7777boVj1V174lotWbKEu+++m/79+0unhKgVMmJCCCGEEEKIW5iMmBBC\n1ISMmBC6Je8D1zfJn35J7vRN8qdfkjt9k/wJIcTNRTomhBBCCCGEEEIIccPIVA4hhBBCCCFuYTKV\nQwhREzKVQwghhBBCCCGEELcV6ZgQtULmauqb5E+/JHf6JvnTL8mdvkn+hBDi5iIdE0IIIYQQQghR\nDTt27ODYsWM3OgwhbjnSMSFqhbwPXN8kf/oludM3yZ9+Se70TfJ368rPz7fZ7tevH7Nmzbrqea1b\ntyYmJuaq5R577DF27959zfHVxPLly2nTps11aUuIG00WvxRCCCGEEOIWdrMuftmlSxd++umnCvuH\nDh3KJ598UuP6RowYgYeHB9OnT7fuKy0txWC4+m+xJSUl2NnZXbVcaGgoc+bMoWfPnjWO71pUNy4h\napMsfil0S+Zq6pvkT78kd/om+dMvyZ2+Sf6qp6i0kM+T32HSzj4sOvQ6BcUXarX+lStXkpOTw65d\nuwBIS0sjJyeH2bNnX1N9RUVFFfZVp1MCuGkf/m/WuISobdIxIYQQQgghxG3oeF4q8xNHMzPhWXaf\nXG9zTCnF5F2P8HXyu/yWvYqY1Jm8uu0+SkqLK9STV3yegpK8Grfv7u6OxWLBbDYD4OXlhcViwWQy\n8c033+Dn54erqytdu3YlIyMDgEmTJjFgwABrHUOHDmXcuHHWmGfMmIHBYMDf3x8oG5UxZ84cAGbM\nmEFoaCgmkwkfHx/mzZtnrSckJITVq1cD8PLLLxMUFITRaCQwMPCKUzwGDx7MoEGDKsRxebuXeuut\nt6hXrx5ubm5MmTIFgO3btxMYGIjJZCIyMpKEhAQAoqOjiYyMrPD98vuwYcMGmjdvjoeHB66urjz3\n3HMUF/+Zp1mzZuHn54fJZKJx48Z8+eWXAGzbto0GDRpUaFeIG0E6JkStkLma+ib50y/Jnb5J/vRL\ncqdvkj84np/GC5tbsjLtI9Yd+YTJOx/mp2NfW4+fKEgn4VQsF0vL1mwoKi0g48JBDp//c32FiyX5\n/HNHTwaut/DYjx68n/AMJaqkVuKLjIwkNjaWuLg48vPzmTx5cqXlNE1D0/4cWf7CCy+Qk5PD/v37\nKxxPSEjg/vvvJz09nQULFjBq1Ch+//13a7lyu3btIioqioyMDCZMmMCQIUPIzc21HldKMW3aNBIT\nE1m0aFGlcVy+DbB//36mTp3KN998Q0JCAo8//jgALVq04Oeff+bw4cN06dKFMWPGXPX+XFp/eno6\nmqZx+PBhfv75Z1avXs3ixYsBWLp0Kf/5z3/44osvSE5OJiwsjIMHDwLQqFEj1qxZQ2JiIgEBAdVq\nV4i6Ih0TQgghhBBC3GZWZywgvzgXRSkAF0vz+DTpDevxktIitMseFTQ0Si8ZMfHxwVfZc2ojJaqY\nElXMT8e+5tvUqy80WR0BAQE0adKEhg0bMnjwYBITE696jqZpGI1Gm1EYlx83m83Uq1ePfv360bRp\nU7Zu3VppXfXq1cPb25vnn38ewGY0wdKlS5kzZw4rV67EaDRa919tHQ8XFxc0TSMvL4+QkBCaNGkC\nQGZmJs8//zxt27ZlxYoVHDhw4KrXqpSyac/Z2Rlvb29atWrFI488wpYtWwD4+OOPGTNmDF26dMHP\nzw9PT09rh4anpyd33nknwcHBjBgxolr3WIi6Ih0TolbIXE19k/zpl+RO3yR/+iW50zfJH1wsyaMU\n29ENhaUF1u++pjACXZvioDkBYKc54OFYj3D3VtYye07F2pxzsTSPPac21kp8K1euJDIyEl9fX6ZO\nnWpdP+JqC3lePkqhKvXq1ePMmTNVltE0DYvFYi2nlGLVqlWEhYVhsVhsyl2tYyI4OJivvvqKF198\nkbZt27Jjxw6gbEqIr68vsbGxvPrqq1y8eLHSOKq7gKmXlxdnz54FIDU1lUaNGlVabvPmzXTu3Bk/\nPz9GjRpV6RodQlwv0jEhhBBCCCHEbaaL3yCcDCbrtpPBxN8Chlm3DZqB/0Ru4D6/QQS7tqBj/X68\n32ELjnZ/jhDwdQ7FwJ+LM9prjviawv9ybAUFBQwcOJCoqCg2b95MVFSU9aHcw8OD7OzsSs9zdHSk\nsLCw2u1U92H/0nKapjF//nxKSkoYPny4tUxVcV3qkUceITExkX79+tG3b1+gbDTG888/T+PGja2j\nKC5X3fovj9fDw8O6PgfYjuoYNGgQXbt25ZdffuGNN964Kd/cIm4f0jEhaoXM1dQ3yZ9+Se70TfKn\nX5I7fZP8QVNze95stZxQtwj8TQ0ZEDaevzecaFPGxcGDl+9axPx7Eni95Vd4OtW3Of6PZh/i5mjB\n2c4NZzs3vI2BFeq4FiUlJRQXF2M2m3Fzc8PNzc16rFOnTmzdupW1a9dy4sQJ68gAgLCwMGJjY0lN\nTa10ikZNHryrKmsymYiJiWHDhg1ER0db41q9ejVbt27lxIkTXLhQ8Q0mJ0+eZMuWLRw/fpyAgADO\nnj2LUorw8HC++OILjh07dsXOh3bt2pGVlcVnn33GiRMnOH36dJWjQ8rjHzhwIDNnzmTHjh3Ex8db\n15cAKCwsxN3dHVdXVzw8PKpzW4SoM/Y3OgAhhBBCCCHE9dfW+0Haej94zefXN4Ww8N5DxJ/aiJ1m\nT0uv7hjtTFc/sRKXPmS7uLgwZ84cxo0bx7Fjx3B3d6dXr15A2aKYEydO5JlnnuHMmTP4+vpaj0VF\nRbFu3TqaN29OcHAw27dvr9BGdad6XK2cl5cX8+fPZ/DgwfTp04f+/fvz888/06dPH86fP09RURGj\nR4+2OSc9PZ1BgwZx9OhRAgMDmTdvHpqmMXfuXIYPH86HH36IwWAgODgYKOugsbcve1zz9/dnwYIF\nvPXWW4wYMQIfHx/riI2qFt4cNWoUycnJ9OjRA1dXV5RSuLu7AzBv3jzGjRvHa6+9hslkonXr1tW6\nN0LUBa2aw5deVkrN0DStMxANLFJKvV2rgWiakuFD+hUbGyu/PuiY5E+/JHf6JvnTL8mdvt1u+avJ\n+gTir1uwYAEJCQnMnj27RuedO3eODh06sHTpUjw8PBg9ejQmk4nPPvvsmmMpH1Xi7u5OcnIyAwcO\nZNmyZXTo0OGa6xS3viv9m/HH/uov5FID1Z3K0f+PP18DOgO96iIYIYQQQgghhNCzrKwsli9fzqpV\nq2p03pkzZzh79ix9+vShcePGpKSk8Oabb/6lWDZt2sR9991HcHAwgwcPZvz48dIpIW5K1R0xsRP4\n/4DWSqnnNE37TSnVvlYDkRETQgghhBBC1DoZMSGEqImbecTEaKAp8M8/tlfXRTBCCCGEEEIIIYS4\nvVSrY0Ip9TPwBoCmaT7AR3UZlNAfeR+4vkn+9Etyp2+SP/2S3Omb5E8IIW4u1eqY0DRtCnAU+B34\n7Y+PEEIIIYQQQgghxF9S3TUmEoAOwDdKqQc0TYtVSnWp1UBkjQkhhBBCCCFqnawxIYSoiZt5jYnT\nSqkLgKOmaV5AvboIRgghhBBCCCGuZufOneTm5t7oMISOFRcXA1BUVHTNdeTn5wNQUFBQKzHdzqrb\nMTHtjz8/AZKAFXUTjtArmaupb5I//ZLc6ZvkT78kd/om+dO/yMhI0tPTAejXrx+zZs0CQClV4SGx\ndevWxMTEVKveixcvEhgYyI4dO2o34Erk5eXZbM+cOZN+/fpV+F7btm3bRmBgYLUeyMsfvG9Fw4YN\n49tvv6Vnz56kpaVdUx3dunVj69atjB49mnnz5tVyhLeX6nZMJAIopT5VSlmAtXUXkhBCCCGEEOJ2\n4Ovri8FgwMXFhWbNmvHOO+9QWlpaozqWL1/OSy+9BECPHj34+OOPbY5v37692g/5Tk5OpKam0rZt\n2xrFUFOff/45Xbp0sdk3ZswYli9fXuH7tYqOjiYyMrLC/nbt2pGamoqDg0OV548YMYK33nrrL8Vw\nM3vvvfcYPXo0jz/+OMHBwTU+PzU1ld27dxMZGclXX31F586d6yDK24d9NctFA/desv0ucF+tRyN0\n6/J/WIW+SP70S3Knb5I//ZLc6Zvkr/qSCw9wuHA/wQ4Naep0V63Xf+LECTZt2kSTJk04cOAA//jH\nPygpKWHixInVrsNg+PO31spGAdjZ2dUoppqWvxaFhYWVzuG/9Fou/V7bqnONf2WKgx74+Piwc+dO\nLBbLNZ2/d+9e6tevT1ZWFufOncPf37+WI7y9VPm3XdM0f03T2gNumqa1++PTE/C6PuEJIYQQQggh\n6kKpKiWu4De25m0kt/R8heOfn51P34zWTDj+DAMy7+ajU1PqJA4vLy98fHzo3Lkzw4cPt061SU5O\npnPnzhiNRlq3bs2uXbsqPb9Lly7MmTMHKJvKMWrUKAwGAx07dgQgJCSE1atXA/Dyyy8TFBSE0Wgk\nMDDQZorHkSNHePjhhzGbzbRt25Y9e/ZUaGvDhg00a9YMNzc3PD09GTVqlHW6Q2FhIU2bNsVkMhEW\nFsZXX31lPa9nz574+vri7OzMe++9h6Zp7Ny5E4PBgJ2dHQcPHmTSpEkMGDAAwOZ7RkYGoaGhODs7\nc8cdd7Bx48a/cruJjY3F29vbuv3jjz9y11134enpyVNPPWWdYqKUYsaMGRgMButD96X3uvzefv/9\n98yZM8dmxMDu3bvx8fEByjqfHn74YZydnWnSpAn/+9//rOXmzZuHn58fJpOJ4cOHV4g1JiaG0NBQ\njEYjDz74IFDWYVKd+zxjxowrli0tLWXEiBGEhYXh6enJJ598AsA333yDn58frq6udO3alYyMDAAS\nExNp164dRqORsLAwcnJy6N27N2lpaQQEBFBSUoKnp+dfyIq4WjdcO+A/wGlg6h+f/wNeqeO4hM7I\nXE19k/zpl+RO3yR/+iW50zfJHxSqQp4+0o0hR7rzj6y+dE8NJ63wsPX4mZJT/CtnDAUqn1x1jgKV\nx4LT/yGtKNmmnu/Ofc6AjLsZlNmZn/PWXVMs5SMH0tPTWbp0KU2bNqW0tJSHH36Ytm3bcuDAAZ58\n8kkeeughLly4UOF8TdPQNM36ferUqeTk5LB27VrrvnK7du0iKiqKjIwMJkyYwJAhQ6yLaD799NO4\nurqya9cuevTowdNPP12hrfT0dOzs7EhKSiI2NpZt27bx8ssvA+Do6Minn35KUlISw4YNY/jw4Vy8\neBGAH374gYULF3L48GGeeuoplFJERESQk5NDdnY2jRo1srmOS/n4+LBs2TKSkpLo0qVLpQ/w1+ro\n0aP079+fMWPGsH37dpKTk5k+fbr1+AsvvEBOTg779++33stLYyzf7tWrF9u3b7eu77FhwwZrR8Lg\nwYNxcXFh3759vPnmm/Tr14+MjAzOnz/PyJEjmT17NgcOHLBOx7nUc889x5gxY0hKSuLdd98FwMHB\ngVWrVpGSksLUqVOveJ///ve/4+DgUCEnBQUF/PDDD6xcuZJNmzaxbds2unXrBpStXRIbG0tcXBz5\n+flMnjwZgIkTJ9K0aVMOHjzIkiVL8PKS3+lrW5UdE0qpb5RSXYE3lFJd//g8rJT64TrFJ4QQQggh\nhKhlX5ydz56L28hTF8gtPceZ0pOMPzHUejy7JAsHbNcgcNQcySrKsG5/e24Jr2cPJ+7iVnYU/Mzz\nx/rxW15sjWPp2LEjLi4uNG3alPDwcGbMmMG2bdvIyspi+vTphISE8Morr+Dr68v3339/1fpcXFyw\nWCy4ublVerxevXp4e3vz/PPPA5CQkMCxY8eIjY3lww8/JCwsjEmTJnHw4EHrL+aXcnZ2xtfXl4iI\nCGbPnk10dLT1WPv27QkICGDs2LHk5ubanB8WFkZAQAC+vr4A2NvbY7FYsFgsGAwGlFKVTu9wcnKi\nTZs2NGjQgJEjR5KSklJr0yy+/fZbIiIieOaZZ2jYsCFjx461ucdGoxGLxYLZbK6ynpCQEMLCwtiw\nYQMA//vf/+jVqxdZWVmsW7eOOXPmEBYWxtNPP0337t35/PPPcXR0xMXFhbNnzxIUFESLFi0q1Gs2\nmzl9+jT+/v60bt0aKFs09D//+Q8dOnTgrbfeuup9vjwnmZmZeHh4cPHiRYqLi2nUqBEhISEABAQE\n0KRJExo2bMjgwYNJTEy0icNsNtOxY8dKO5DEX1PdiUv/qdMohO7JXE19k/zpl+RO3yR/+iW50zfJ\nHyQXJlKg/nzjQimlpF8yGqKBfUiFh69iVUy4YzPrdvTZDyhQf75ZokDlseTsHGpq+fLlpKWlkZeX\nx2effYbJZCI9PZ2AgACbtRDCwsKsb+KoDZqmYbFYOHPmjPXBtlGjRnh6euLj40NxcTFHjx6tso5G\njRpRUFBATk4Ox44d47HHHiMwMJA2bdoAZdM7/qrExEQeeugh/P396du3L5qm1VrHREZGBtu2bcPT\n0xNPT0+GDRvGsWPHrMcv/zugaVqlnScAvXr1YtWqVZw/f55ff/2VHj16kJ6ejqurq806DuV5dHJy\nYvXq1cydO5cmTZrwww8Vf/uOiYnhp59+Ijg4mMWLFwPw9ttvEx8fT0xMDF988QVw5ft8pZx06tSJ\n6dOn07dvX7p3787hw2WjhVauXElkZCS+vr5MnTrVep+nTZtG/fr1CQkJYcKECZSUlFTr/orqq27H\nhLOmaQM1TXv8j8/AOo1KCCGEEEIIUWfuMrbDWTNZt+2x5w6n1tZtZ4OJhX6rcTd44qQZcdZc+ND3\na+rZ17eWMVBxAUV7rbpr6//J39+fevXq2ewLDAwkMzOT4uJi677k5GSCgoKqrMvR0bFGnQHlD9q+\nvr7Y2dmxdetW4uPjiY+PJyUlhVatWlV5flpaGg4ODlgsFiZMmMDFixdZu3Yty5Ytu2qcV+tcKO8U\n+L//+z8CAwOJjY3lo48+umLHwLXw8/OjU6dO1mvet28fW7duBcpGalx+Lz08PDhx4kSldT3xxBN8\n++23rFy5knvvvRez2UxgYCC5ubnk5ORYyyUnJ1vfgnHPPfewY8cO3nzzTfr372+dVlOuefPmrF+/\nnk8//ZThw4dz6NAhEhISePzxx2nVqhUtW7as8vqqyklUVBQpKSk0btyYoUOHcvHiRQYOHEhUVBSb\nN28mKirKeq/NZjMLFy5k9+7dLFu2jEWLFlXj7oqaqG7HRAzwEPDgH5+H6iwioUsyV1PfJH/6JbnT\nN8mffknu9E3yB/3dhvCQ60AccMRZMxHs0IipPrYPW22cO7EtNJuNwb+zK+wMXVx62hx/3vImxks6\nN4yaiaHmMbUSX/v27fHz82PcuHGkpKQwffp0Tpw4Qc+eZTG4ubkRFxcHYPOgHhYWxg8//EB6evoV\nF8us7ME+KCiIjh07MnXqVC5evIimaeTm5uLo6Fih7JEjR/j11185dOgQ48eP59FHH8VgMFBYWIiL\niwvu7u5XfdNDWFgYhw4dYseOHezdu5fTp09fsWxhYSGurq5V1vvPf/6Tfv36sWLFCkJDQ637i4qK\nOHLkCJmZmWRmZnLmzBmb8/r168f27dvZuHEjBoPBeu3lMcbGxpKammrtrOjUqRNffPEFe/fuJSsr\ny6ZzpXXr1lgsFl599VUGDx4MlHV8/O1vf2PkyJEkJyezePFiNmzYwBNPPEFhYSHr168nKysLf39/\nCgoKrAtvllu3bh3Hjh3D09MTBwcHTp8+TXh4ON9//z2///77VUe0XCknaWlp7N69m5MnTxIQEMCp\nU6coKSmhuLgYs9mMm5ubzVSgzZs3k5aWhlIKLy8vTp06VWW7ouaq1TGhlHpXKfXMpZ+6DkwIIYQQ\nQghRNwyagan1F/FTSDqrg/axOmgvXvY+FcrZaXZ42/tWOhKiu0sf5vquoJvpYXq4PMrigA1EGNvV\nKI4rzdU3GAx899137Nq1izvuuIMvv/ySNWvW4OrqCsD48eN58cUXKSoqsqnjlVde4eTJkzRr1owX\nX3yxRm1+/fXXnDp1ipYtW3LXXXcxe/bsSssVFxczYsQIIiIicHBwsJabOHEiaWlpNGrUiEaNGtG4\ncWNcXFwqbbNDhw4MHjyY+++/nwcffJD9+/fbLCxZUlJincby3nvvsX79eoKDg+nevTstWrTA3t42\nH0ePHqVly5YcOXLEOopA0zT27NlDYGAgQUFBBAUFMXbsWJt2GjRowMqVK5k+fTrh4eF069aN7du3\nA2UjCry8vGjevDnDhg0jLy+PF154gcjISO69914aN26M2Wy2ruUAWBei7N+/v3Xf4sWLyc/Pp0WL\nFrzzzjt88803BAUFkZ2dzQsvvEBQUBCDBw9m2rRp1jd5QFmnyvjx4wkJCaFHjx4899xztG/fntdf\nfx1N07jjjjsICwvD0dERk8lU6X2+Uk727dtHz549CQ4O5osvvuCDDz7AZDIxZ84cxo0bh7+/P2+/\n/TbNmpVNXVq0aBHNmzcnIiICHx8fRowYUenfDXHttOoMBdI0LfGyXclKqd41akjTGgPRgAIuAE8o\npU5dclzV5rAkIYQQQgghRNXrAoiaiY6OZs6cOdaH99pWUlLCkSNHeOKJJ7j//vuZMqV6r2ht3rw5\ny5Yt4+233+aRRx7h8ccfr5P4bjZ9+/alf//+PP3007IgZS260r8Zf+yvkxtd3akcD1328biGtg4D\n9yulOgHxwLBrqEMIIYQQQgghbogrvdKztiQlJdG0aVMcHBwYOXJktc/buXMnzZo149NPP2XAgAF1\nFt/NJjs7m3/84x82C3YKfaruVI7USz+AsaYNKaVKlVJ5mqYZgAZA1ROChK7IXE19k/zpl+RO3yR/\n+iW50zfJn7hWQ4YMYdu2bXVWf9OmTcnLy2PTpk020xquxmgsezxzcHDAIuPNuQAAIABJREFUYKju\nb8/69+uvv3LhwgX8/f1vdCjiL6rWsrmaps3746sBaAYcuJbGNE1rCSwF8oHnr6UOIYQQQgghhBBC\n3Dqqu8bEUMrWhlBAJrDxrywIoWnaP4BuSqkBl+xTQ4YMISQkBCh7JUvLli2t75ku79mWbdmWbdmW\nbdmWbdmWbdmW7epvd+3aVdaYEEJUm6ZpbNy4kbi4OOubXFJTU/n000/rbI2J6nZMPKaUWnbJ9kil\nVOXL1F65Duvqlpqm/Q2YoJTqdslxWfxSCCGEEEKIWiaLXwohauJmXvzypcu2r2WZ136apm3WNO0n\n4DWgdl5yLG4K5T3yQp8kf/oludM3yZ9+Se70TfInhBA3lyo7JjRN66Bp2niggaZpr2qaNl7TtGmA\nc00bUkqtUEp1VEp1Vkp1VUrFX2vQQgghhBBCCHGp06dP8+uvv96Qtvft20dycvINaftyeXl5rF+/\n/kaHoUsXL15k69atNzqM29LVRkwUUtYJ8ekffxqBLKB/HccldKZ8LqPQJ8mffknu9E3yp1+SO32T\n/N2avv32W0aPHl2rdfbr149Zs2ZdtdwLL7zADz/8UGH/zJkz6devX63GdDXbtm3jiSeeqHb50aNH\nM2ZM2WD2l156qVbu4fLly2nTps1frud627JlC3369AHKOikCAwPZsWPHDY7q9lDlWzmUUruAXZfu\n0zTtPuBsXQYlhBBCCCGEuPUZDAb27t3LHXfccaNDqdTy5cur9fpNTdPQtIpT78eMGcNLL10+K/7m\n8sEHH1i/V6cTpjoeffRR+vbtW62yAwcOZMWKFRgMBvz8/HjwwQf517/+Rb169Wollmvl5OREamoq\ndnZ2NzSO20W11pjQNG39H3++Ttn6EMuqPkPcbmSupr5J/vRLcqdvkj/9ktzpm+RPVFd1OiWuRx16\nVN0H+uzsbN555x2OHj1KTEwMR48eZejQoXUbXDVJp8T1U93/lZg0TTMADwA9Aae6C0kIIYQQQghx\nO0tJSaFHjx54eHhwzz33WNdv2LdvHy1btsRiseDs7Myjjz7K+fPnK5y/Z88efHx82L17N6mpqRgM\nBvLy8oCyjilvb+8K5/z666+0bt0ad3d3vLy8SEtLo0uXLsyZMweAGTNmEBoaislkwsfHh3nz5lUa\n+z//+U/uvfdeiouLmTRpEgMGDABg/fr1NGvWDHd3d3x8fHjttdfo06cPrq6uhIaGsnnz5krji46O\nJjIyskI727Zto0GDBphMJiIjI0lISKhQ5siRIzRo0IDVq1cDEBcXR5s2bTAajTRt2pT8/HyGDh3K\nuHHjAGy+A0yfPh0fHx/MZjPjx4+nuLgYgMTERNq1a4fRaCQsLIycnBybdi+N+dChQ9x9991YLBbc\n3d3ZsmVLhTjd3d2pV68erVu35o033uCnn36q9NovvZ+VxVDdXGdkZBAaGoqzszN33HEHGzdurFAG\nyjqV9u/fD8Brr72GxWLBYrHwzDPPUFRUBFT992LevHn4+flhMpkYPny4df9nn31GgwYNcHV1JSoq\nigsXLlTa/u2kuh0TJ4GfgWVKqVLAVHchCT2SuZr6JvnTL8mdvkn+9Etyp2+Sv5ubUoqBAwcSHh5O\nXFwcd911F1FRUUDZr+vp6ens37+fuLg4Dh8+zHvvvWdz/okTJ+jbty8fffQRrVq1qna7SUlJFBQU\nsG/fPjZv3kxgYKDNFI2EhATuv/9+0tPTWbBgAaNGjeL333+3ifurr75iyZIlrFixAnt7e5vzMzIy\nsLOzIzk5mc8//5zp06fTvn179u3bR58+fRg5cmSN7lOjRo1Ys2YNiYmJBAQEWNeJKJefn0/fvn15\n8cUX6dnz/2fvzuOqqvM/jr8PooIgm6KCsqi573urWaakZopZLi2a2TJpjUZW2qLpNJMVVlOazTiT\naZv9TMxSQ1OxXNoUnFJ0mJTFxAXNHQXk/P5AbiBcRAUvX3w9Hw8ece4995zvPe9bj+6H7/dz+urY\nsWPq1auXhgwZoqSkJH300Ufy9PQsNMaCv3/yySd68803FRMTo7Vr12rZsmWaMWOGJGny5Mlq3ry5\nduzYoQ8++EC1atVyOs49e/Zo+/bt2rRpkyPPc+XfmvLIkSOaP3++mjVrVuyxCo7vQsZwrjp16mjh\nwoVKSkpSjx49ChUNnLnvvvuUkJCgpUuXasmSJVqwYIEk55+LY8eOaezYsXr77be1fft2x5KejRs3\n6rHHHtM//vEPbdq0Sb/++muhYtCVqsQeEwXcKalpgTtpjC6n8QAAAAC4gm3fvl2//PKLvv32W3l6\neurFF19U3bp1lZmZKSlven29evVUr1493XvvvVqxYoXjtZmZmRowYIDuv/9+DRky5ILP7eXlpZCQ\nkGKfsyxLfn5+ql27tiIjI9W8eXN99913atiwoaS8GRerVq3S6tWrHX+lt23b8aVbkjw9PRUYGKhb\nbrlFrVq1Unh4uMLCwjRy5EjNmjXrgsbq7+8vf39/SdJDDz1U6Mt1bm6uhg0bprZt2+qpp56SJH35\n5ZcKDg52bBf3PguOde7cuXriiSd03XXXSZKmTp2qSZMm6amnnpKfn5/S09Pl5+ensLCw847V3d3d\ncZ2KO+dTTz2lZ555RidOnFCHDh30wQcfON03f4wXOoaCqlev7mjOOXbsWM2ePdsxA8KZFi1aSJJC\nQ0N1yy23aPv27ZKcfy4GDRokLy8vHTlyxFHkkqT3339fI0aMUN++fSVJM2bM0PXXX3/B+Vc2pV7K\nIena/FuGSjKvxSrKFWs1zUZ+5iI7s5GfucjObORXsaWlpSk7O1vBwcHy9/dX06ZNZVmW9uzZU2Tf\nWrVq6fDhw4VeGx8fX+iOEPlfCAt+6S4LtWvXdpzbtm2tWLFCtWvXVnBwcKle7+/v71iG4u/vr9zc\nXGVmZsqyrFKNdcOGDerevbuCgoL02GOPFfpifeLECa1evVqdO3d2PJaamnpBX+Dzlzvka9iwoVJT\nUyVJr7zyiurWravw8HA988wzOnPmTKmPey7LsjRx4kRt27ZNw4YNU926dR1FgJKuRXFjKG3WiYmJ\n6tOnj4KDgzVw4EBZlnXewsTLL7+s5s2bq379+lqzZo2ysrKK3S//c1G9enUtW7ZMs2bNUvPmzR13\nbSnuumZmZhZZDnOlKW1hIkZ5xYgHlXfb0LK9Dw8AAAAASKpXr548PT0VHx+vLVu2aMuWLdq1a1ex\nX6rP/eLatGlTLViwQMOHD9d//vMfSZKvr6+kvCUeZanguS3L0uTJk9WmTRvdcccdpfqifu7rpbwv\n1L6+vjpy5Mh5jzFs2DDddNNNWrdunZ599tlC16FmzZr6+uuv9cwzz2jlypWSpODgYCUnJ5f6/YWE\nhGjnzp2O7Z07dzoy8PPz05w5cxQfH6+FCxfqvffeK/VxixMQEKCQkBC98cYb2rhxo5YuXSopL7sD\nBw449it455PixlDarB955BGFhIQoLi5Ob7311nkLGWvWrNH06dM1e/ZsffPNN+rWrZvTfQvmev31\n1+unn37Sc889p0GDBunYsWPFXldPT0+X34XE1UpbmKhq2/ZoSbtt254iqWiHGVzRWKtpNvIzF9mZ\njfzMRXZmI7+KZe/evdq9e7fjp23btmrcuLHefPNNx1+xT506JXf30q1CHzBggJ555hkNGTJEp06d\nkp+fn1q2bKno6Gj99ttv2rdv30WNs6Qvr7Ztq0qVKpo3b54OHTqkadOmXfQxmzdvLj8/P73yyiva\nu3ev07+kZ2VlycfHR97e3o4v5AV17dpV7777ru655x7t379ft912m3bv3q2XXnpJycnJio+P16lT\npwotjyj4xX/kyJF6/fXXtW7dOiUkJGjy5MmOu2Vs2LBBKSkpsm1btWrV0qFDh0r1fs93HQIDAzVp\n0iRNnDjR8R727t2refPmaf/+/YXOU9wYSpt1VlaWvL295ePjo4CAAMfjPj4+Onr0aJECzunTp+Xu\n7i5fX1/5+vrKw8OjyNiLO8eqVau0d+9eBQcH69SpU8rMzNSIESM0b948LV26VNu3b9cTTzyhESNG\nXNR1q0xKW5jIOfvPE5ZlRUnyKqfxAAAAALiC3HLLLQoNDVVoaKjjL/JLlizR1q1b1bp1a3Xo0EHv\nv/++Y/+CX56dNW58+umnVbNmTb300kuS8tb1r1u3Tg0bNtSIESMcvRkKKvj64pT0fP7j1apV09y5\nc/Xqq69q+/btTsfn7L1IkoeHh+bPn6+5c+cqJCREzz33XLHjfeeddzR79myFhITogQceUJs2bYoc\na+jQobrhhhsUFRUlf39/ffXVV1q4cKGaNm2qyMhIpaenFxpXTk6OowA0dOhQ/fnPf9agQYPUo0cP\n9evXT1FRUZKk9957T61atVK7du1Up04dPfTQQyVeq5Ku67nPjx07Vunp6frqq68UHBysd999Vy+8\n8IJCQ0MVExPjaJ7pbAylyfq1117TqlWrFBYWpp49e6p169Zyd3dX+/bt1adPHz388MPKzc2VlNcf\no3fv3ho8eLB69uyp4OBgbdiwwfFZdfa5yMjI0JgxYxQaGqr77rtPr7zyiurUqaNrrrlGb7/9th55\n5BF17txZV111VZEGrlciqzTrlyzLcrNtO9eyrCaSHpW0wLbt78p0IJZll/W6L1w+cXFx/PXBYORn\nLrIzG/mZi+zMdqXlV9qeBVeCzMxMdevWTV9++aVCQ0NdPZzzSk9PV58+fbR27dpiZ0WUldOnT2v3\n7t2KiIjQpEmTNGrUqHI71+VyKVkfOXJEy5cv16hRo3Tw4EF5enqW0ygrJmf/zTj7eMlVpotU2hkT\nV53950FJh/XHDAoAAAAAMMLRo0d15MgRx+1HK7oDBw5o3759euKJJ8r1PHFxcWrbtq1atWql4cOH\nl+u5LpdLyfrRRx/V448/rhkzZlxxRQlXKe2MiY22bV9jWdY/JCVL6m/b9jVlOhBmTAAAAABljhkT\nAC5ERZ4xUdWyLF9J9W3b/quki78fDAAAAABIWrt2rY4ePVomx9q5c6fjdpYm2bRpk44fP17sc1lZ\nWZfcWLKyysnJm8R/KbcqdWbv3r366aefyux4v/32W7GPnz59Wt99V7oOCVu3btWvv/56yWM5ffq0\nbNtWbm6u01ueukJpCxMrJW2X9PrZ7dK1xMUVg/uBm438zEV2ZiM/c5Gd2civ4rjpppu0e/fuMjnW\nqFGj9MUXX0iSXn/9dUVGRpa4f8eOHRUTE1Pk98utS5cuTgsqI0aM0FtvvXWZR2SG5557Tu+9957u\nvfderV+/vkyPPXv2bE2fPr3I4z/88INCQkIcd4spjbVr16p9+/bFPrdx40b179+/VMcZM2aMvvrq\nq1Kf15nJkyfr5Zdf1qeffqp77733ko9XVkpVmLBte6Jt20G2bX999qFry3FMAAAAAHBBCt4dYfz4\n8frss89K3P/HH390FC8K/n4xpk+frg4dOhR5fPbs2WrduvVFH1c6/x0tXGnKlClyc3Mr8tOoUaNy\nP/fkyZM1a9YsNWrUSNddd12ZHtvZNe/atauSk5NVtWrVUh+rrJZRne+uMaW1YMEC3XDDDfrkk0/U\nvXv3MhhZ2SixMGFZ1rSz/1xe8EfSl5dldDDGldTZujIiP3ORndnIz1xkZzbyuzK4uZX8N9gqVaoU\n+/vFGDx4sLZs2aJdu3YVejwmJkZ33nnnRR/Xtu0K3R/k6aefVkZGhg4cOKCQkBB99NFHysjIUHx8\nfLmf29PTUytWrNBf/vKXMj92Sdf8Uj8rrnTs2DGlpqYqODhYW7duVXBwsKuH5HC+GRPzzv7zGklz\nJb0l6WVJRee1AAAAAMBFyMnJ0c0336xnnnlGkvTrr7+qe/fu8vDwUMeOHbV582bHvhMnTlRAQIAC\nAgJ0//33FzutfsqUKYUKAh9//LFCQ0NVo0YNDRs2TJIUHh6uZcuWFfl95syZCgwMlI+PjwYOHKgj\nR46cd/yNGzdWu3bttGjRIsdjhw8fVlxcnGMcN954o7y9vdWgQQO98cYbxR4nMzNTo0aNkre3t666\n6ir98MMPjr+S5+TkaNKkSapXr57Cw8P173//2/G6IUOGKDg4WDVq1NB1112nqVOnqmHDhqpRo4Ye\neOABRx+GxYsXKygoSN7e3rrpppuUlpYmSVq/fr06duwoHx8fBQQEKDU1VdnZ2ZowYYL8/PxUp04d\nRUdHFxmvp6enAgICVKtWLbm5uTlen39r01dffVV16tSRn5+fnn76aUdfiFWrVqlFixby8fFRnTp1\nNHHiRPXv31/e3t5q2LChNmzY4DiHs+v2wgsvqEmTJqpZs6amTp1a4jWaMGGC7rvvPsdrY2Ji1KlT\nJ8dxateurZo1a2ratGlF3uOKFSsUFBSktLQ0xcXFKTAw0PHcTz/9pPbt28vDw0M9evTQzp07i831\nxIkT6tq1q2rUqKEbb7zR6dKd/fv36/bbb5enp6eaNWumlStXFrvf888/rxtuuEFnzpxRWlqaGjZs\nKE9PT7Vs2VJr1qxxnDMyMlLe3t6qU6eOvvrqK9WsWVNnzpxRo0aNlJSUdEmzhMpaiYUJ27aTzv56\nu6Sukl6TNETSvnIeFwzDWk2zkZ+5yM5s5GcusjMb+ZVOrnI1T/P0Z/1Z7+pd5SinXM5j27Yef/xx\neXl56eWXX9aZM2d0++23q3Pnztq+fbuGDx+uPn36OBpE3nfffUpISNDSpUu1ZMkSffrppyUef+PG\njXrkkUf09ttvKykpSc8//7ykwtP1C/5+66236vvvv9eGDRv0888/l7rHw9ChQwsVJpYuXarmzZur\nZcuWkqQZM2Zox44dmjZtmp588klHUaCgqVOn6j//+Y++++47ffzxx/L29nY8N2vWLC1cuFBfffWV\nZs2apccee0zJycmS8nof/PWvf1VSUpLq1KmjefPmadGiRVq3bp1iYmK0dOlSSXn9LOLi4pSQkKDM\nzEy9+OKLkqSkpCSdOnVKW7du1caNG9WgQQNFR0dr+fLlWrt2rRYtWqTXX3/9vNe6oE8++URvvvmm\nYmJitHbtWi1btkwzZsyQJKWlpalKlSr69ddf9dFHH+nVV19Vt27dtHXrVvXv319jx451HKe467Zt\n2zZNnz5dixcv1s8//6yhQ4c6vUa7du1Sv379Cv17v3r1avXr16/IcYYMGVLoPezYsUMjRozQ//3f\n/ykkJKTQc8eOHVPfvn11zz33aPv27erYsaMGDBig3NzcYq/Hiy++qJ9//lnh4eGO4ti57rvvPnl5\neWnr1q167rnnFBkZWehzYtu2FixYoA8++ECLFi1SlSpVVKdOHS1cuFBJSUnq0aOHHnzwQUnS+++/\nr//973/atGmT1qxZU+xSowolf3pQaX4keShv5kTWhbyulMe2Ya41a9a4egi4BORnLrIzG/mZi+zM\ndqXl5+z/szPsDHuGPcOeZk+zE+yEIs/fZ99ne9letmzZNewa9q32rXaunVumY7Msyx41apTdtm1b\n+/jx47Zt2/bGjRvtgIAAOycnx7Ff27Zt7U8++aTI6++66y772WeftW3btnv06GHPnDnTtm3bnjx5\nsj148GDbtm37oYcesh9//PEirw0PD7eXLl1a5PeCJkyYYA8fPrxU7yUlJcWuUqWKnZqaatu2bd92\n22329OnTi923Tp069sqVKx3XYOvWrbZt23bjxo3tzz//3LHf0KFD7RdffNG2bdvu2rWrPWfOHMdz\n/fr1c7zfguNftGiR3ahRI8d+t99+u+MYBc2cOdO+9tprbdu27ffee8/u3LlzoeebN29uf/bZZ47t\nGTNm2LfeeqvT93/uNYyIiLCjo6Md24sWLbKbN29e7Pnatm1rz58/37Zt2960aZNdpUqVYs+Rf92S\nk5Pt6tWr27GxsYWed3aNsrOzbV9fX3vbtm2O9/bdd985Pc6UKVPsG2+80b7qqqvs999/3/H4mjVr\n7Nq1a9u2bdsff/yx3aZNG8dz2dnZdq1atezvvvuu0LEKvsa2bfvQoUO2m5ubvXv37kLPpaen25Zl\n2QcPHnTse/vtt9svv/yybdt5n+9hw4bZderUsX/55Zdir8/WrVtty7LsrKws+8MPP7QbNmxoJyUl\nFbtvSZz9N+Ps42VaB8j/KVXzS8uy+lmW9Q9JOySdkNSqHGokMBhrNc1GfuYiO7ORn7nIzmzkJx3Q\nAbVWa03URE3RFF2ja7RKqxzP/6bftEALdEInJEkndVLf6ltt0RbHPjnK0UN6SB7ykJe89IJekK0L\n74ewZMkStWrVSl5eXpKk1NRU1a9fv9Ba/kaNGjn+cvzyyy+refPmql+/vtasWeP0lof5syDS0tIU\nHh5e6vH8+9//Vrt27RQUFKQPP/yw1HdgCA0NVffu3TVv3jxlZGTo66+/1t133y0p76/ro0aNUlhY\nmBo3bqyjR48WO+49e/YU+ct8vrS0NI0bN07+/v7y9/fXypUrlZ6eXmQ/Pz8/HTt2zLHt7++vEyfy\nclyyZIm6dOmievXqafr06SW+t9TUVDVs2NCx3bBhwwu6HWv+EoPSvN7f398xZn9/f+Xm5iozM9Pp\ndQsLC9OCBQv0+OOPq3Pnzo5be557jb7++mulp6fL3d1dvXv31hdffKGkpCRlZGSoW7duTo9j27Z+\n/vln7d2712nz0tTU1EKfK3d3d4WEhBQ7E+bc9+rj41Mku9TUVHl7eysgIMDxWMHPvW3bWrFihWrX\nrl2oN0RiYqL69Omj4OBgDRw4UJZlKTs7W8OGDdODDz6oa665RoMHD9b+/ftLHJerlfZ2ofdL+lpS\nS9u2x9h/LPEAAAAAYJiZmqmDOqjTOq0zOqNMZeoxPeZ4/oROyF3uhV5TRVV0XMcd21M0RR/qQ53W\naZ3USc3QDP1b/9aFWrhwoeLj4x1LLEJCQrR7925HPwIpr+dEaGio1qxZo+nTp2v27Nn65ptv1K1b\nt/MePygoqEhTSmd27typBx98UNOmTdP69evVv3//C2o+OWrUKM2fP18LFixQ9+7dVb9+fUnSa6+9\npq1bt2rJkiVatmyZ/P39i319aGiokpKK/6oVFBSkV155RVu2bNGWLVuUlJSkJ598ssh+lmUVGnP+\n9unTp3XXXXdp9OjR2rBhg0aPHl3iewsJCSnUM2Hnzp0KCwsr1XW40NcXHHN+QSk3N7fE6zZgwAAl\nJiYqMjJSAwcOlFT0Gv33v/9VVFSUpD+W2ixcuLBQ/5HijiNJN998s/72t7/ptttu02+//Vbs+yv4\nucrOzlZaWppCQ0NLvC779+/XkSNHihSgQkJCdPz4cWVkZDgey//c51+XyZMnq02bNrrjjjscfUMe\neeQRhYSEKC4uTm+99Vah6zhx4kTt2rVLOTk5euKJJ0ocl6uV9nahg23b/tS27RPlPSCYibWaZiM/\nc5Gd2cjPXGRnNvKTMpShbBX+a/lRHXX83kiNVE/1VEV5sxbc5CYPeai92jv2WaIlOqmTju0TOqEl\nWnLBYwkMDNQXX3yhv//971q9erW6deumoKAgTZgwQTt37tSrr76q/fv3q2/fvjp9+rTc3d3l6+sr\nX19feXh4OI7j4+OjX375xfGFLf8L2j333KO5c+fqs88+U1paWqFGmufKysqSm5ub/Pz8VLNmTdWo\nUaPY/UJCQvT555+rf//+jj4NUt7dOQ4cOKC//OUvGj16dKHjenh4yMfHR/7+/oVmg9SsWVMJCQmS\npJEjR+r555/Xxo0btWfPHv3++++O/YYPH653331X6enpqlq1qvbt2+doMlmS/Otw5swZ5eTkON5b\nzZo1S3zdyJEjNWXKFG3ZskXr1q3TjBkzNHLkyPOer+DrX3/9da1bt04JCQmaPHlyia8vrkji7Lod\nPHhQGzdu1L59+1S/fn0dOXJEtm0Xe438/PwkSbfddpv+97//6e2333Y0wnR2nHxjx47V7bffrnvv\nvbfI2Pr166d9+/bp1Vdf1c6dO/XUU08pKChIXbp0KbJvTk6OUlJStGPHDj3wwAO69dZbVbduXfn4\n+Ojo0aNKTk5WUFCQevfurbFjx+rXX3/V/PnztXr1akf/DCnvjiDz5s3ToUOHHI06s7Ky5O3t7Wg8\nmm/btm3atm2bjh07pqCgIB06dKikuFyutDMmAAAAAFQSAzVQNfTHl25PeWqg/vhrsbvc9Y2+UQ/1\nUKACdbWu1nqtl7f+aMZYV3VlySr0mnqqd0HjyP/r+FVXXaWXXnpJDz/8sM6cOaMvvvhCmzdvVsuW\nLfXJJ59o+fLl8vb2Vu/evTV48GD17NlTwcHB2rBhg+Ov8I8++qi++OILffPNN7Isy3Hsm266SW++\n+abGjx+vq666So899liRcZw5c0bu7u5q3ry5nn32Wd15550KDg7WRx99pCZNmhTZ98CBA2rXrp3S\n09PVvv0fxRoPDw/Hl95BgwY5Hh83bpyqV6+u1q1bKywsTNWrV3d8iXz66af1+OOPKycnRxMmTNCQ\nIUM0ZMgQNW7cWElJSWratKnjGP3791f//v3VuHFjjR49WqdOnSrxuhb8vUaNGpo5c6YmTJig4OBg\nTZs2TS1atHDsU/A1kvTkk0/q1ltv1Y033qhBgwbpiSee0F133VVingUNHTpUf/7znzVo0CD16NFD\n/fr1c8xeKO58547Zsiyn1y01NVXDhg1TaGiopk2bpnfeecex/7nXKDMzU5JUrVo13XffffL399fV\nV18tSU6PU3B8M2bM0K+//qp//etfhR738fHR8uXL9dFHH6lly5ZKSEjQkiVLiryvOnXqKCQkRK1b\nt9Z1110nHx8fffDBB5Kk9u3bq0+fPnr44YclSfPnz1dmZqZat26tv/zlL1q8eHGRGRjVqlXT3Llz\n9corr2jHjh167bXXtGrVKoWFhalnz55q3bq1qlSpovXr16t79+5q1KiRfvzxx3K5rWpZsi5kalJ5\nsizLrihjAQAAACqLc6f255uruXpGz+iUTulO3amZmqlqqlbq4/5zuWr/AAAgAElEQVSiX3StrlW2\nsmXJkre8Fa941Vf9shx+uTp27JgSEhJ08803a8eOHWrUqNF5X/Pdd99p/PjxWrlypZo0aaJdu3YV\nmrkBmM7ZfzPOPm4V85JLP2dFKQZQmAAAAADKnrMvGWUhTWlaoiVyl7vu0B2qrdrlcp7y8uyzz2rW\nrFkaO3asY2p8aWRmZsrT01OnTp2iKIFKh8JEBRkLLlxcXBwdrg1GfuYiO7ORn7nIzmxXWn7lWZgA\nUPm4ojBBjwkAAAAAAOAyzJgAAAAAKrGKPmMiKytLp06dko+PT6lfc/r0acXHxzuaGKLiOl9Whw8f\nVrVq1ZzeAUWSTp48qaysLMcdNkrj5MmTsixLnp6eFzzmKx0zJgBUWIkpsXr78956+/PeSkyJdfVw\nAABAJTFt2jRNnDjxvPv98MMPCgkJUXZ2tjZu3Kj+/fuf9zW7d+9W3bp1tWfPnrIY6iUZN26cxo0b\nd9Gvz7+7hCu8/vrrioyMvKjXni+rFi1a6KeffirxGP369dOHH35Y4j6RkZF64403HNtTpkzRc889\nd2GDhctQmECZ4H7gZjtffokpsfrn8kjtSFupHWkr9c/lkRQnKgj+3TMb+ZmL7MxGfhXHvn379Pe/\n/12TJk1Snz59NH78+CL7DB06VGPHjlXXrl2VnJysqlWrlvr4DRo00J49exQcHFyWw74ob7zxRqEv\nzhfioYce0gsvvFDGIyq98ePH67PPPnPZ+SUVuQ3nuT777LNChZ+oqCjNmTNHaWlp5T00lAEKEwDO\na1VCtLJz/qjSZ+dkalVCtAtHBAAAKoN3331Xffv2Vf369TV48GDFxMQUev706dNavny57rzzTklS\nlSpVLvgcF/OaiiY7O9vVQ5Cbm2u/Op5vOdK546tbt64iIyP1zjvvlOewUEYoTKBMXEmdrSsj8jMX\n2ZmN/MxFdmYjv4pj6dKluu222yRJAwYM0J49e7Rp0ybH86tWrZKnp6e6d++uuLg4BQYGFnucoUOH\nKjg4WB4eHmratKnWr18vSUpOTpabm5tOnjwpSbrnnnvk4+OjunXr6qmnnnK8Pjw8XEuXLnVsu7m5\nadu2bZKkF154QbVr11bNmjU1derUIuceP368QkJC5OnpqXbt2unll19Wy5Yt5enpqdtvv10nTpyQ\nJI0cOVITJkyQJOXk5GjSpEmqV6+ewsPD9e9//9txvILny7+FqW3bio6Olpubm2P2x/Hjx3X//ffL\n29tbISEhTpc6FDf+H374QQ0aNFCNGjXUpUsX/fzzzzpy5IiqVq2qnTt3Ol7brl07ffHFF5oyZYru\nvPNOHT16tNh9vvzyS+3evVsNGzaUp6enWrZsqTVr1hQ7npSUFHXv3l01atRQ165ddezYMdm2rXff\nfVc33HCDY7/Y2FhdddVVjvf/j3/8Q4GBgQoMDNTrr7/u2O/06dMaN26c6tSpo0aNGumTTz5xPHfb\nbbcVyhUVF4UJAOfVs32Uqrr/0TioqruneraPcuGIAACA6XJzcxUfH69OnTpJkmrXrq2ePXtq0aJF\njn1iYmI0ZMiQ807j//777/XXv/5VKSkpGjx4sO69995i95swYYK2bdumuXPn6o033nAUMCzLKvYc\n27Zt0/Tp07V48WL9/PPPGjJkSJF9EhIS9NBDDyk5OVnXX3+9pk+frjlz5ighIUHbtm3Tv/71ryLn\nmDVrlhYuXKivvvpKs2bN0mOPPaZdu3Y5PZ9lWRozZowyMjIcBZMnn3xSKSkp2rx5s2bPnq1HH31U\n33//fanG36RJEy1fvlyJiYmqX7++xo8fL19fX1133XWOpU4ZGRlKSkrSLbfc4hiDj49Psfv07NlT\ngYGBWrhwoZKSktSjRw89+OCDxWYwdOhQNWnSRL/88osmT57sOPbAgQP1008/6dixY5Kkb7/9VhER\nEY7XtWzZUhs2bND8+fM1depUrVy5UpI0ffp0rV69WqtXr1Z0dLQeeOABpaenS5I6d+6sX375RadO\nnSp2LKg4KEygTLBW02zny69FWIQe7BOjZiG91Cyklx7sE6MWYRElvgaXB//umY38zEV2ZiO/iuHg\nwYPKyckpNAvi7rvv1oIFCyTlLV9YvHix7r777lIdr06dOqpbt67Gjx+v5ORkx5fTgtq1a6cGDRqo\nT58+6tChgxITE0s8ppeXlyzL0smTJxUeHq5mzZoVu1+tWrVUt25dPfDAAzp+/LiuvfZaNWvWTP36\n9VNCQoKkwksRPvzwQz399NNq3769+vbtq5tuuknLly+Xt7d3ofM1bdrU8RoPDw8FBATIz89Pubm5\nmj9/vl577TU1bdpU/fr108iRIzV37txSjd/f319t2rRRWFiYHnroIcd16Nevn7766itJ0tdff60b\nb7zRcVeL/PE726d69erq1KmTGjRooLFjx2rnzp1FlqCkpaXphx9+0IwZM9SoUSP169dPNWvWlJS3\n9KJTp0768ssvJeUVJnr16iUpr3Bxww03qEmTJrr11ls1YsQIx+fkww8/1OTJk9W6dWtFRkbq6quv\ndhQtAgMDZdu2Dhw4UGLOcD0KEwBKpUVYhMYOWKGxA1ZQlAAAAJcsNzdXUuHeAJGRkdq/f7/Wr1+v\nZcuWKSAgQF27dr2g49auXVtS3m0oC8rJydGTTz6pxo0bKywsTDt27FBWVpYk57dHDAsL04IFC/T4\n44+rc+fO5717hL+/v86cOeO4g4afn5+OHz9eZL+0tDSNGzdO/v7+8vf319dff6309HSFhoY6PV/B\nGR0ZGRnKzMxUw4YNHY81bNhQqamppRr/hg0b1L17dwUFBemxxx5zFBD69u2rFStWKDs7W0uWLFG/\nfv2KjN3ZPomJierTp4+Cg4M1cOBAWZZVpDCxZ88eeXl5ydfXt9jrd9ddd2nBggU6cuSIfvrpJ918\n883F7hceHq69e/c6ruX999/vuJbr1693FKXy+4ucOXOm2OOg4qAwgTLBWk2zkZ+5yM5s5GcusjMb\n+VUMtWrVkmVZOnjwoOMxLy8v3XXXXZo3b54++OADjRw58oKPm/8F/txCw/z58xUTE6OPP/5YX3/9\ntRo3bux4ztfXV/v37y/2eAMGDFBiYqIiIyM1cODACzq3syUoQUFBeuWVV7RlyxZt2bJF//3vfxUV\nFeX0fFWrVnUUUaS84ounp2ehXg87d+5UWFhYqcY/bNgw3XTTTVq3bp2effZZx3hbtWql0NBQffHF\nF4qNjdXgwYOLHM/ZPo888ohCQkIUFxent956q9hCT2hoqI4fP+70Wo8cOVLffvut5s6dq5tuukk+\nPj7F7peUlKSQkBDHtZw1a1aha/mnP/1JkhyfLWe9SVBxUJgAAAAAcNm5u7urdevWjqUO+R566CEt\nWLBAsbGxTgsTPj4+Onr0qJKTk0t9vqysLFWtWlW+vr7y8/MrdNvR6667TnPmzNGvv/5a6PaSBw8e\n1MaNG7Vv3z7Vr19fR44cKfbYJd0xouBz+b8PHz5c7777rtLT01W1alXt27dPfn5+xZ7Ptm01btxY\ncXFxSk5O1nfffSc3Nzfde++9evLJJ7Vjxw4tXbpU77//vkaMGFHo3M6Ol5WVJR8fH3l7exeZvTBi\nxAiNHTtWXbp0Ub169Yp9T8Xtk5WVJW9vb/n4+CggIMCxb8GsgoKCFBERodGjR+u///2vkpOTC82q\n8PHx0d13362JEydq2LBhhc65d+9e7dmzR59++qnef/99x2fjnnvu0dtvv60DBw7I3d1d+/fvdxQ0\nNm/erKuuukpeXl5O80HFQGECZYK1mmYjP3ORndnIz1xkZzbyqzgiIiIUGxtb6LGuXbuqUaNG6tWr\nl4KCggo9lz8DoX379urTp48efvjhYo9bcKZC/u/33nuv2rZtqy5duigkJETp6emO40+ZMkW+vr5q\n37692rZtq/bt28vX11epqakaNmyYQkNDNW3aNKe3nizufPm/528X/H3cuHHq37+/+vfvr8aNG2v0\n6NHKzMxUSkpKkfNZlqXRo0erVq1aatWqlUaNGqWTJ08qOjpaDRs2VMeOHfWnP/1J77zzjrp161Zo\nXMWN37IsvfPOO5o9e7ZCQkL0wAMPqE2bNo7XjBgxQocOHdLo0aOLfR/O9nnttde0atUqhYWFqWfP\nnmrdurXc3d2LZPXBBx/I29tb1157rdq0aaP69esXmtEwatQoubm5FZqd0qlTJ/3zn/9U48aNNXXq\nVL333nuO9/rcc8/phhtuUEREhJo0aaKHH37YUQCKjY1Vnz59is0MFYt1vvvBXi6WZdkVZSy4cHFx\ncUyLNBj5mYvszEZ+5iI7s11p+Tnrn1AR7Ny5Ux07dlRycrL8/PxcPRy40PHjx5WTk6MnnnhCdevW\n1d/+9rdLOt6xY8cUHh6u9evXq3nz5mU0yiuDs/9mnH285FvkXOw5K8p/pChMAAAAAGWvIhcmJOnh\nhx9WjRo19Prrr7t6KHChMWPG6P3339eAAQM0d+7cQkttLsakSZO0e/duzZs3r4xGeOWgMFFBxgIA\nAABUFhW9MHH06FH9/vvvxTZuBC7Wb7/9Jg8PD9WqVcvVQzGOKwoT9JhAmWCtptnIz1xkZzbyMxfZ\nmY38KhYfHx+KEihz9evXpyhhEAoTAAAAAADAZVjKAQAAAFRiFX0pB4CKhaUcAAAAAADgikJhAmWC\ntZpmIz9zkZ3ZyM9cZGe2KzE/y7L44Ycffkr14wruLjkrAAAAgMuisi3jiIuLU48ePVw9DFwEsoMz\n9JgAAAAAAAAlsix6TAAAAAAAgEqIwgTKxJW4VrMyIT9zkZ3ZyM9cZGc28jMb+ZmL7OAMhQkAAAAA\nAOAy9JgAAAAAAAAloscEAAAAAAColChMoEywXsxs5GcusjMb+ZmL7MxGfmYjP3ORHZyhMAEAAAAA\nAFyGHhMAAAAAAKBE9JgAAAAAAACVEoUJlAnWi5mN/MxFdmYjP3ORndnIz2zkZy6ygzMUJgAAAAAA\ngMvQYwIAAAAAAJSIHhMAAAAAAKBSumyFCcuywizLWmFZ1jrLsn60LKvD5To3yh/rxcxGfuYiO7OR\nn7nIzmzkZzbyMxfZwZnLOWNir6RHbNu+XtLbkp69jOcGAAAAAAAVkEt6TFiWNU5SY9u2HyvwGD0m\nAAAAAACogMqzx4R7eRy0JJZlXSPpYUk9Lve5AQAAAABAxXJZCxNn+0q8J6m/bdv7zn1+5MiRCg8P\nlyT5+fmpffv26tGjh6Q/1iOxXTG333jjDfIyeJv8zN3O/72ijIdt8rtStvMfqyjjYfvCtvMfqyjj\nYfvCtvMfqyjjYbv02wkJCRo3blyFGQ/b58/r8OHDkqTk5GSVp8u2lMOyLHdJCZKG27b9n2KeZymH\nweLi4hwfYpiH/MxFdmYjP3ORndnIz2zkZy6yM1t5LuW4nIWJjpLWKq84IUnZtm3fXOB5ChMAAAAA\nAFRAlaIwcT4UJgAAAAAAqJjKszDhVh4HxZWn4Jo/mIf8zEV2ZiM/c5Gd2cjPbORnLrKDMxQmAAAA\nAACAy7CUAwAAAAAAlIilHAAAAAAAoFKiMIEywXoxs5GfucjObORnLrIzG/mZjfzMRXZwhsIEAAAA\nAABwGXpMAAAAAACAEtFjAgAAAAAAVEoUJlAmWC9mNvIzF9mZjfzMRXZmIz+zkZ+5yA7OUJgAAAAA\nAAAuQ48JAAAAAABQInpMAAAAAACASonCBMoE68XMRn7mIjuzkZ+5yM5s5Gc28jMX2cEZChMAAAAA\nAMBl6DEBAAAAAABKRI8JAAAAAABQKVGYQJlgvZjZyM9cZGc28jMX2ZmN/MxGfuYiOzhDYQIAAAAA\nALgMPSYAAAAAAECJ6DEBAAAAAAAqJQoTKBOsFzMb+ZmL7MxGfuYiO7ORn9nIz1xkB2coTAAAAAAA\nAJehxwQAAAAAACgRPSYAAAAAAEClRGECZYL1YmYjP3ORndnIz1xkZzbyMxv5mYvs4AyFCQAAAAAA\n4DL0mAAAAAAAACWixwQAAAAAAKiUKEygTLBezGzkZy6yMxv5mYvszEZ+ZiM/c5EdnKEwAQAAAAAA\nXIYeEwAAAAAAoET0mAAAAAAAAJUShQmUCdaLmY38zEV2ZiM/c5Gd2cjPbORnLrKDMxQmAAAAAACA\ny9BjAgAAAAAAlIgeEwAAAAAAoFKiMIEywXoxs5GfucjObORnLrIzG/mZjfzMRXZwhsIEAAAAAABw\nGXpMAAAAAACAEtFjAgAAAAAAVEoUJlAmWC9mNvIzF9mZjfzMRXZmIz+zkZ+5yA7OUJgAAAAAAAAu\nQ48JAAAAAABQInpMAAAAAACASonCBMoE68XMRn7mIjuzkZ+5yM5s5Gc28jMX2cEZChMAAAAAAMBl\n6DEBAAAAADBSSmyi4qNXS5I6RN2ssIgWLh5R5VWePSYoTAAAAAAAjJMSm6hlkXOUk5ktSXL3rKq+\nMaMpTpQTml+iwmO9mNnIz1xkZzbyMxfZmY38zEZ+5irr7OKjVzuKEpKUk5ntmD0Bs1CYAAAAAAAA\nLsNSDgAAAACAcVjKcXnRYwIAAAAAgHPQ/PLyoccEKjzW+pmN/MxFdmYjP3ORndnIz2zkZ67yyC4s\nooUGrhijgSvGUJQwGIUJAAAAAADgMizlAAAAAAAAJWIpBwAAAAAAqJQoTKBMsNbPbORnLrIzG/mZ\ni+zMRn5mIz9zkR2coTABAAAAAABchh4TAAAAAACgRPSYAAAAAAAAlRKFCZQJ1ouZjfzMRXZmIz9z\nkZ3ZyM9s5GcusoMzFCYAAAAAAIDLuKTHhGVZVSS9LKmVbdt9zz5GjwkAAAAAACqg8uwx4V4eBy2J\nZVluktZL2nO5zw0AAAAAACqWy76Uw7btXEk3SnpTUrlUW3D5sV7s8kpMidXbn/fW25/3VmJK7CUf\nj/zMRXZmIz9zkZ3ZyM9s5GcusoMzl33GhCTZtn3asiyKEsBFSEyJ1T+XRyo7J1OStDN9nR7sE6MW\nYREuHhkAAAAAXDiXFCacGTlypMLDwyVJfn5+at++vXr06CHpj+oa2xVzO/+xijKeyry9KiFauxLz\nihINmkjZOZmaPf9ZRV5fnfyuwO0ePXpUqPGwTX5ss80222yzXdJ2vooyHradbyckJOjw4cOSpOTk\nZJUnlzS/lCTLsnpIetq27T5nt2l+CZTC25/31o60lYUeaxbSS2MHrHDRiAAAAABUduXZ/NKtPA5a\nSvbZH1QC51ZAUX56to9SVXdPx3ZVd0/1bB91ScckP3ORndnIz1xkZzbyMxv5mYvs4IzLlnLYtr1W\n0lpXnR8wVYuwCD3YJ0arEqIl5RUq6C8BAAAAwFQuW8pxLpZyAAAAAABQMVXWpRwAAAAAAOAKR2EC\nZYL1YmYjP3ORndnIz1xkZzbyMxv5mYvs4AyFCQAAAAAA4DL0mAAAAAAAACWixwSMEBsr9e6d9xMb\n6+rRAAAAAABMQGECZeKVV+IUGSmtXJn3ExlJccIkrPczF9mZjfzMRXZmIz+zkZ+5yA7OUJhAmfj0\nUykz84/tzEwpOtp14wEAAAAAmIEeEygTvXvnzZQoqFcvacUK14wHAAAAAFB26DGBCi8qSvL0/GPb\n0zPvMQAAAAAASkJhAmWievU4xcTkzZLo1UuKiZEiIlw9KpQW6/3MRXZmIz9zkZ3ZyM9s5GcusoMz\n7q4eACqPiAiKEQAAAACAC0OPCQAAAAAAUCJ6TAAAAAAAgEqJwgTKBOvFzEZ+5iI7s5GfucjObORn\nNvIzF9nBGQoTAAAAAADAZegxgUuSkhir+NXRkqQON0cprIX53S8r43sCAAAAgEtRnj0mKEzgoqUk\nxmrZnEjlZGdKktyreqrv6Bijv8hXxvcEAAAAAJeK5peokOJXRzu+wCftlnKyMx0zDUxV8D1JleM9\nlQbr/cxFdmYjP3ORndnIz2zkZy6ygzMUJgAAAAAAgMuwlAMXrTIue6iM7wkAAAAALhU9JlBhVcZG\nkZXxPQEAAADApaDHBCqssBYRGjhmhfxaTao0X+Dz39PAMSsqzXs6H9b7mYvszEZ+5iI7s5Gf2cjP\nXGQHZ9xdPQAAAICLdSB2k3ZFL5IkNYwapMCITi4eEQAAuFAs5QAAAEY6ELtJmyOnKTczS5Lk5llN\nHWOepzgBAEA5YCkHAADAOXZFL3IUJSQpNzPLMXsCAACYg8IEygTrxcxGfuYiO7ORn7nIzmzkZzby\nMxfZwRkKEwAAwEgNowbJzbOaY9vNs5oaRg1y4YgAAMDFoMcEAAAwFs0vAQC4PMqzxwSFCQAAAAAA\nUCKaX6LCY72Y2cjPXGRnNvIzF9mZjfzMRn7mIjs4Q2ECAAAAAAC4DEs5AAAAAABAiVjKAQAAAAAA\nKiUKEygTrBczG/mZi+zMRn7mIjuzkZ/ZyM9cZAdnKEwAAAAAAACXoccEAAAAAAAoET0mAAAAAABA\npURhAmWC9WJmIz9zkZ3ZyM9cZGc28jMb+ZmL7OAMhQkAAAAAAOAy9JgAAAAAAAAlKs8eE+7lcVAA\nKK2UxFjFr46WJHW4OUphLSJcPCIAAAAAlxNLOVAmWC9mNlfll5IYq2VzIpW2Y6XSdqzUsjmRSkmM\ndclYTMW/e2YjP3ORndnIz2zkZy6ygzMUJuAym2IPaFLvHzWp94/aFHvA1cOBC8SvjlZOdqZjOyc7\n0zF7AgAAAMCVgR4TcIlNsQc0NTJeWZm5kqRqnm56IaaDOkUEunhkuJwWz+yttB0rCz0W0qyXBo5Z\n4aIRAQAAAChOefaYYMYEylxKbKIW956pxb1nKiU2sdh9PotOdhQlJCkrM1efRSdfphGiouhwc5Tc\nq3o6tt2reqrDzVEuHBEAAACAy43CBMpE/nqxlNhELYuco7SVO5S2coeWRc5xWpw418GMchwgSuSq\n9X5hLSLUd3SMQpr1UkizXuo7OobmlxeItZpmIz9zkZ3ZyM9s5GcusoMz3JUDZSo+erVyMrMd2zmZ\n2YqPXq2wiBaF9rsjKlw/r/1dOVl5syYCQjfLK2yF/jW1mm65kzszXEnCWkSQNwAAAHAFo8cELsm5\nt3qM//P/lLZyR6F9Qno108AVY4q8tnfHA/o9PlnBoRt1Y9+nVbXqKUl50/n5yzkAAAAAVBz0mECF\nlJIYqy/fHei41eOSt/vL6+rDcves6tjH3bOqOkTdXPwBagfqJ3VRgw5fOooSUt6dGWLfH15ut41M\nSYzV4pm9tXhm70s6B3cVAQAAAIBLR2ECF23d//1Fubl5BYWk3ZKqZGv7z/9Q52d7K6RXM4X0aqa+\nMaOLLOPIFxUleXoW+5ROnzykL2fephWRw3QgdlOZjTklMVbL5kQ6iinL5kReVHEi/64i8SsPKn7l\nQU2NjDe6OMF6P3ORndnIz1xkZzbyMxv5mYvs4Aw9JnDRDqUck7zOedC29dva/xW7dCNfSmyi4qNX\nS5I+ePZmffZTlM7krlMVt8xC++W65SjVXik7MlMdY55XYESnSx5z/Opo5WT/cZ6c7EzFr46+4GUj\nzu4qwu1OAQAAAODCUJjAxTvZWnaNLbIsqUkDSbak3fWlAOcvyb9rR36DTPd1O/XXmNFSaIxi3x+u\n0ycPFXlNbmaWdkUvuuDCxLn9L+hZ4VyPHj1cPQRcJLIzG/mZi+zMRn5mIz9zkR2coTCBixbQIkXx\nNaTNHfK2O8ZLYbv3qMMjhXtKHIjdpF3RiyRJ6RlVlZOZrRo6IV8dljKlhIkL1OBvY7Rnx2T5Bz8l\ntyqnJUlWtpv84hte1Njyl2zkz45I37lOfUfHqMPNUUrfuc7xuHtVT3W4OeqCj39HVLi2rvvdMWui\nmqeb7ogKv6ixAgAAAMCVjMIELtrupie0tJ2UU1U6+b2U3k8a7uulsIgWjtkKWQePyn2+mzz/5ydJ\nqurmprTeJ7Uy6mflepzWTaul1gnfaP2jv+vnnX1UO/R5tezwoWrrgPzjw+WVGig3z2pqGDXI6Ti+\nPRGrfx3OmxnxgF+UbvCKcLpkY+CYFeo7OuaSZ1J0igjUCzEd9Fl0sqS8QoXJyzji4uKoYBuK7MxG\nfuYiO7ORn9nIz1xkB2coTOCibe4oHfGWDvtKZwIk21f65UaPIrMVrFvcVC+ro7xSA7X5ln16M2az\nsmrkzTRIvFoaPeeYWgTNVPqyOspI7aRvUjspVCnqoM3KCqiqXh/dr8CITopVrKKVV1CIUpQiFKFv\nT8Tq0b2ROmXnnevHI2v0csbrJY47rEVEmSzr6BQRaHQxAgAAAAAqAsu2bVePQZJkWZZdUcaC0umV\n0VGrAuJln723i5UrdV7vrUfmSyc8jiuxubT67KqOWz+pqYgXr9ezsT8ovvfBQsdptl0aM0vKyayh\n1BWjtS+1mzyUV2io3SFUr2zupVjFKlKRyjz7uJvcNFVT9Z//fqbNbvGFjtd8Q6BecntB6+OfKrRk\no+/oGEdBYlPsAZfPdrjUMdBDAwAAAMDlYlmWbNu2yuXYFaUYQGHCPI3Tg7UzKL3QYw1/lca/ISW2\nkOaMlrKr5T1eNUsa8Jmbvr8mV2nhhY/jniXVPCa13CZl1JKyMoLV+qWBClvRQlWqVdHDS/rqzxEP\naqVWFnqdZVtq+x/phFfhz02zdbX0zN+H6WRYhtIDvpNnWF11u/PFQkWJqZHxhfpDvBDTodSFgbIo\nalzqGM6dlXJu4QUAAAAAylJ5FibcyuOguDIcy93/x0Zc3j+O+Emy8mZK5BclpLzf1/TKVZ0Mye1M\ngYPYUk416fda0vrrpR0tpV3d92j54nd1ovc3qpeVog1jPtT+7wvPipAk27J12NeWe/Yfj7lnSdd+\nEaDtoR8r1V4pr69ry/fleqqRWtuxj7NbfUpSbKzUu3feT2xs0fecX1CIX3lQ8SsPampkvDbFHij9\nRSvFGErDWQ+Ni8U9pc1FdnlSEmO1eGZvLZ7ZWymJxfzLW0GRn7nIzmzkZzbyMxfZwRl6TOCi+R85\no4wgFVrKIVt6aaJ0qIRbhlY/JZ3ylGxLUsF6W4HfczzP6I3cz7kAABHDSURBVPN5i3T3Pzx1JPeU\nmu48o/90+eNc+Y7WlIJ+kyxL8siUuqyrpppBSco8u19m8CFpqfTN8Nlq+dFzahER5nRcsbFSZKSU\nefb7/rp1UkyMFBHxx51F/rfpiOpltlGq8o6TX1Cg1wTgOs7uwsMMIgAAADOwlAMXrefXlhI65DW/\nlKQaJ6UT3kWLB5Ik++zPucWIEniekEJ2SyGpUkZtKb2etL9egdfnStWypCpnpFoHpSGfSGFpRY9f\nbX9N+S+4VVuqddU9S+7USdUodhnFxOhArSy8WkS9ekkfRm3S5shpys3MkiRly11L1c9RnOjQq5b+\nuqJL6d7UWSzlAMrO4pm9lbaj8L+8Ic16aeCYFS4aEQAAQOVTaZZyWJY13rKsHy3L2mBZVqvLeW6U\nvUwP6ZC/lOue93O8ppOihJRXLHBTqYsSsqXsqtKxmlJKuHSiZt6Sj3OPmeUhZXpJvzWQVvYq/vg5\nNU/pmGqqTlaavp64SpIU0txLNQPc1bhDzeILAr1jpdje2vS33vo47jVHUUKSqipHHbRZUl5Boe2N\n/prU+0dN6v1jqZd15N9utEOvWurQq9YFFSWkvDuL9B0do5BmvRTSrBdFCQAAAADGumwzJizLukrS\nZ5I6SOoi6RXbtm8s8DwzJgxT7bSl7OpnN+Ik9SiHk+RKQXslr5PSzvC8Aogz/gelF18s+ri1P0D2\ngrslSTk1/RSXc32hmQpPP+su97WrdDBDmrZ1kDb2yJBiIqUaebMRqp9y13MD2qvTij8KB78HNFJC\n2ABVO5qhvbsy9Xuur07K64JnPlQU3FPaXGRn9gwi8jMX2ZmN/MxGfuYiO7OV54yJy9lj4iZJsbZt\n50r63rKsFpZludu2nXMZx4AylH3uDIby4Ja3VMTr5Pl39TlWzINnLNkbr3dsZsu9UNPJepm7dOiF\npaqSm/cxfL7aVo1+ca/21PijseRpjxwteirFUZhw86ym5k/0008v/arMzBx5SqquTO1VPZ3M9KLn\nBHCZ5c8g4va5AAAAZrqcMyaekeRm2/Zfz24nSbretu19Z7eZMWEYy7ZKvzTjEniekOqn5y0bORSg\nYs/pni09+E+pxfa8bduWco4EqMraG+SWGpo3XvcqymjTQ9/HV3e8boBiFKa0Qsea8lOifuiUXOix\nGzO66ZXhPSVJDaMGaUH0bu1YWfh1J+SpdNW/qJ4TAAAAAFCRVZYZEwclNSmw7XP2MYeRI0cqPDxc\nkuTn56f27ds7pvrk31qG7Qq0bStvHozkuF2oYzlHGW1bN0iBB6ST30sekrz75/Wy0Nqzz3eX6v8m\ndYyW3FMlNZDsUx6yAsepVkg7Hf3lpHQ8VXsD9qnNg510TbtrFR8Zr/TMBEmSm5sl5Ur/OftRbKta\nunvh1Uo4tkdZypJ6SJ7yVN9fBunkpK6O95/07HLt1gE1OPuR3q0knVI1VfMM0R1R4RUjH7bZZptt\nttlmm2222Wab7YvcTkhI0OHDhyVJycnJKk+u6DHRUXk9Jl62bbtHgeeZMWGYKtlWXs8HS1KcpB5l\ndGBbqpIteZ+QWm2V6hyQtrWUcqvkPX3CI6/Jpu9R6ebVUotE/TGLIsddV187S13uedDp4TfFHtBn\n0cmSpNtuPKZjL/3d0dzSzbOaOsY8r80RGYpW3rTwKEUpQoWnhSfGpuifkcuVnXl2JZKbmzzbNdGQ\nv7U3chlHXFyc4z9CMAvZmY38zEV2ZiM/s5GfucjObJVixoRt2/+zLOs9Sd9LypI0+nKdG+XjTFX7\nj+JE/u1AL0T+7UMlVTsluedIvgeqauACT3Xakq1jfme0v74tn8BGGtz+Xq2sljdN4gG/KHnEpCp+\nzQzlZOXqxP5Wqubzs6p6uKlLxJMlFiWkvDtiFCweHOjsq13RiyTlLdMIjOikCKlIMaKgFhFhejCm\nj1ZF58286BnVXi0iwi7wAgAAAAAALtuMifNhxgQAAAAAABVTec6YcCuPgwIAAAAAAJQGhQmUifxm\nKTAT+ZmL7MxGfuYiO7ORn9nIz1xkB2coTAAAAAAAAJehxwQAAAAAACgRPSYAAAAAAEClRGECZYL1\nYmYjP3ORndnIz1xkZzbyMxv5mYvs4AyFCQAAAAAA4DL0mAAAAAAAACWixwQAAAAAAKiUKEygTLBe\nzGzkZy6yMxv5mYvszEZ+ZiM/c5EdnKEwAQAAAAAAXIYeEwAAAAAAoET0mAAAAAAAAJUShQmUCdaL\nmY38zEV2ZiM/c5Gd2cjPbORnLrKDMxQmAAAAAACAy9BjAgAAAAAAlIgeEwAAAAAAoFKiMIEywXox\ns5GfucjObORnLrIzG/mZjfzMRXZwhsIEAAAAAABwGXpMAAAAAACAEtFjAgAAAAAAVEoUJlAmWC9m\nNvIzF9mZjfzMRXZmIz+zkZ+5yA7OUJgAAAAAAAAuQ48JAAAAAABQInpMAAAAAACASonCBMoE68XM\nRn7mIjuzkZ+5yM5s5Gc28jMX2cEZChMAAAAAAMBl6DEBAAAAAABKRI8JAAAAAABQKVGYQJlgvZjZ\nyM9cZGc28jMX2ZmN/MxGfuYiOzhDYQIAAAAA8P/t3WusXFUZxvH/IxDxQouAlwAKQUBRjBYT0Iht\nkERCFBWNEGMUrzF+MFGDoJ+MtyigUeMdTVBRo8YoWC1qgAJFLhal3kFF8QKigrZoVILy+mHWCcPx\nzNHSmbPPOv3/kpXuWWfPzN598s6eWbP3GmkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DSJAxOSJEmSJGkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DSJAxOSJEmSJGkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DSJAxOSJEmSJGkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DSJAxOSJEmSJGkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DSJAxOSJEmSJGkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DSJAxOSJEmSJGkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DSJAxOSJEmSJGkwzjEhSZIkSZIW5RwTkiRJkiRpRXJgQlPh9WJ9M79+\nmV3fzK9fZtc38+ub+fXL7DTJkg9MJHlEki1JTl7q59bsbNmyZehN0A4wv36ZXd/Mr19m1zfz65v5\n9cvsNMmSDkwkWQusB+4AnFBiBdm6devQm6AdYH79Mru+mV+/zK5v5tc38+uX2WmSpT5j4kpgDfAT\nYCaTZkiSJEmSpH7supRPVlV3wmg2T60sN95449CboB1gfv0yu76ZX7/Mrm/m1zfz65fZaZKZ/Vxo\nkhcBr5/XfXxV3ZLkHOAbVfWFsfW9tEOSJEmSpGVqVj8XOrMzJqrqXODc7Vjf0ygkSZIkSdrJDPlz\noZ4hIUmSJEnSTm5ml3JIkiRJkiT9L0OeMSFJkiRJknZyMx2YSHJgkj8n2dTaY1v/uiSbk1yT5OSx\n9c9M8p0kFyfZt/Xt125vTnLm2Lont/tvTrJulvuhxSV5XcvhirmMNZwklyS5stXcG5KsSnJ+q61z\nkuzW1tvhOtR0JNklyVlJNrTbq2eVma+d07dAfh77OpDkgCTfSnJ5+/9cY+31Y0J+1l4Hkhza3jN+\nu2W4l7XXjwn5WXsdSbJvkl8kOT0z/Jyw3dlV1cwa8Cjgc/P67gNcD+wPrAJ+AewBHAtc0NY5GfhU\nWz4XOKktXwAc0+53A/BA4OHAdbPcD9uiGR8MfL/lehRw6dDbtLM34Apgt7HbbwNOa8sfAV46jToc\nej9XSmtZXAV8Gdgwy8x87Vyy/Dz2ddCA+wIHteVTgC8Bb7X2+mgT8jvU2lv+rWVy/7Z8FnCqx71+\n2oT8rL1OGrA78C3gs8Dpy6n2Zn0px0OA1UmOTLJL63skcHtV/a6qbgeuZfSB9hhgfVvn623Haf1f\na8tfa/1HAt+rqr9V1W+BvyY5eMb7ooUdA3yzqu6qqquBw5LM7Nde9H/ZE3hqkn3a7YVq6CB2vA41\nBVV1F7AOeD8w9+tEs8rM184pm5Cfx74OVNUdVfXLdvNBwC3A07D2urBAfr/H2utCe8/49yT3AfZj\nlJ3HvU7My29/4GasvZ68E3gf8LN2e9nU3qwHJn4HXAycBlybZE9gH+AvY+tsbX37tGWq6m+MPlwB\n7FlVf19g3fmPsfeM9kGL25uWW7MNsxja+4ATgM1Jns0962Ubk2toe+tQU1JVd3D3h1qYXWa+ds7A\nAvl57OtIkicDrwLejrXXnXn53YS114UkT2D0wehwYAPWXldaftcDj2X0Dbm114EkRwB7VdUGRu9b\nwjKqval9s53kRcDr53UfX1XvaX8/B3gecBl37wRt+Vbgtrn+JA/k7g+725Lcr6r+wWhE/B7rznsM\nLb3bgEPGbq9qfRpIVZ0NkOQ84B2MamPu26T/qrdme+vwT7Pfk53abUw/M187l0hV/Qrw2NeBJGuA\nc4ATquqWJNZeR+bl94fWbe11oKq2AAcneTXwcTzudaXld0jL7+yqej7WXg9OAB6dZCNwIHBX+3dZ\n1N7UzpioqnOras14m3vyJGF0Xco2RteorE7y8CSrgDWMrs+9iNF/FsAzgQvb8kXAs9ryM1r/1cAT\nk+yR5BHAqqq6YVr7ou2yETguo8nfngT8tKr+NfRG7azGTp8DWM2o5haqrR2tw4tmtQ8CZpOZr51L\nZGziKI99y1i77HDuutift25rrxML5Td3Kam1t7y1fObcwOhb1Aux9rqwUH7WXh+q6i1VdVRVHQN8\nEjib0ZeYy6P27s2kGf9vA94NbAauAT4w1r+u9X+XNlFG6z+j9V8E7Nv69mu3NwNnjK17Unvca4C1\ns9wP2//M+bUthyuAxwy9PTtzA9YC3wOubHVzKKOzWM4DvsPom6Vd27o7XIe2qWa3jrsnT5xZZr52\nLkl+7/HYt/wbcATwV2BTaxdbe/20BfLbiO87u2jAcxm9Z7wMuAR4vLXXT5uX38aWn7XXWQPezOjS\nm2VTe2l3kiRJkiRJWnKznvxSkiRJkiRpIgcmJEmSJEnSYByYkCRJkiRJg3FgQpIkSZIkDcaBCUmS\nJEmSNBgHJiRJ0r2S5Lgkuw+9HZIkqW8OTEiSpHvro4x+A32HJdkryYcX+ftTkrxmGs8lSZKWl1TV\n0NsgSZI6lORXwFFV9ceht0WSJPXLMyYkSdrJJVmT5MdJNia5Nsnnk1ye5AdJjk5yWJJLWt+GJA+7\n591zUpILktw3yVOTXJHkqiQfays8OsnVrf+s1ndYkovbY34wyQFJrmt/OyHJZUl+mOStre8lST6y\n5P85kiRp5nYdegMkSdLgVgO/qarjk7wAOLGqjk5yInAasDfwxqralOTFwJnAi9t9nwc8B3hWVd2R\n5DPA2qr6dZL1SY4FDgc2VtUbx57zE8CbquoygCQHAgVQVeuB9UkeANyU5F2z3X1JkjQkz5iQJEnj\nbgT2GVt+MHB4VW1qfZuANW05wOnAF6vqn0keDDwE+GSSjcD+wEMZDULsmuTCNtgB8Li5QYn5kpyS\n5FLgPGA3YI8p7p8kSVpmPGNCkiSNK0YDDuPLP0qytg0krAWuHfv704FPJ/kL8BXgD8ALq+rmeY97\napJVwPVJvgpcl2RdVV26wDa8Fzikqm5r81hIkqQVzIEJSZJUrY3fnnMX8DLgo0l2A7YBLx/7+1ZG\nl3JcDmwBXgJ8KcmdwJ3Ace3+r2y3z6+qfyd5BfChJLsAv2V0ycjc834QuDTJrcC/2v3mb6MkSVoh\n/FUOSZIkSZI0GOeYkCRJkiRJg3FgQpIkSZIkDcaBCUmSJEmSNBgHJiRJkiRJ0mAcmJAkSZIkSYNx\nYEKSJEmSJA3GgQlJkiRJkjQYByYkSZIkSdJg/gO6+pxZxfflpwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f88e2718250>"
]
}
],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sprend\u017eiant i\u0161 \u0161i\u0173 duomen\u0173, matyti, kad kai kuriose partijos yra labai neproporcingai turting\u0173 \u017emoni\u0173 ir turting\u0173 \u017emoni\u0173 sumok\u0117t\u0173 mokes\u010di\u0173 proporcija visi\u0161kai neproporcinga turtui.\n",
"\n",
"Kit\u0105 vertus, jei neklyst\u0173, sumok\u0117t\u0173 mokes\u010di\u0173 suma paimta tik i\u0161 paskutini\u0173 met\u0173, o turtas gali b\u016bti sukauptas per vis\u0105 gyvenim\u0105. Bet to, proporcij\u0105 gali i\u0161kraipyti ir kondidato am\u017eius, potencialiai vyrsni kandidatai gali b\u016bti sukaup\u0119 daugiau turto nei jaunesni."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data['tms'] = ((data.mokesciai / data.visasturtas).replace(inf, 0).fillna(0) * 100).replace(0, NaN)\n",
"segment = get_segment()\n",
"segment = segment[segment.tms.notnull()].groupby('party').tms.mean().to_frame().sort('tms')\n",
"segment['tms'] = segment.tms.map(format_percent)\n",
"segment.index.rename(None, inplace=True)\n",
"segment.rename(columns={'tms': 'Viso turto ir mokes\u010di\u0173 santykis'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Viso turto ir mokes\u010di\u0173 santykis</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Tautinink\u0173 s\u0105junga</th>\n",
" <td> 3.17%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <td> 3.92%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos rus\u0173 s\u0105junga</th>\n",
" <td> 5.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos socialdemokrat\u0173 partija</th>\n",
" <td> 5.74%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <td> 5.85%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Darbo partija</th>\n",
" <td> 6.05%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija Tvarka ir teisingumas</th>\n",
" <td> 6.59%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <td> 9.93%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <td> 10.10%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <td> 11.29%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <td> 13.85%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos liaudies partija</th>\n",
" <td> 19.41%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <td> 19.60%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <td> 21.06%</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"text": [
" Viso turto ir mokes\u010di\u0173 santykis\n",
"Tautinink\u0173 s\u0105junga 3.17%\n",
"Politin\u0117 partija Rus\u0173 aljansas 3.92%\n",
"Lietuvos rus\u0173 s\u0105junga 5.56%\n",
"Lietuvos socialdemokrat\u0173 partija 5.74%\n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 5.85%\n",
"Darbo partija 6.05%\n",
"Partija Tvarka ir teisingumas 6.59%\n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 9.93%\n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 10.10%\n",
"Lietuvos \u017eali\u0173j\u0173 partija 11.29%\n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 13.85%\n",
"Lietuvos liaudies partija 19.41%\n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 19.60%\n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 21.06%"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data['pms'] = ((data.mokesciai / data.pajamos).replace(np.inf, 0).fillna(0) * 100).astype(int).replace(0, np.NaN)\n",
"segment = get_segment()\n",
"segment = segment[segment.pms.notnull()].groupby('party').pms.mean().to_frame().sort('pms')\n",
"segment['pms'] = segment.pms.map(format_percent)\n",
"segment.index.rename(None, inplace=True)\n",
"segment.rename(columns={'pms': 'Pajam\u0173 ir mokes\u010di\u0173 santykis'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Pajam\u0173 ir mokes\u010di\u0173 santykis</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Lietuvos liaudies partija</th>\n",
" <td> 9.83%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos rus\u0173 s\u0105junga</th>\n",
" <td> 10.48%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Darbo partija</th>\n",
" <td> 10.65%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <td> 10.69%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <td> 10.71%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Tautinink\u0173 s\u0105junga</th>\n",
" <td> 10.74%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <td> 10.82%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <td> 11.08%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija Tvarka ir teisingumas</th>\n",
" <td> 11.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <td> 11.44%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <td> 12.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos socialdemokrat\u0173 partija</th>\n",
" <td> 12.24%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <td> 12.48%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <td> 13.07%</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
" Pajam\u0173 ir mokes\u010di\u0173 santykis\n",
"Lietuvos liaudies partija 9.83%\n",
"Lietuvos rus\u0173 s\u0105junga 10.48%\n",
"Darbo partija 10.65%\n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 10.69%\n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 10.71%\n",
"Tautinink\u0173 s\u0105junga 10.74%\n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 10.82%\n",
"Lietuvos \u017eali\u0173j\u0173 partija 11.08%\n",
"Partija Tvarka ir teisingumas 11.14%\n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 11.44%\n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 12.14%\n",
"Lietuvos socialdemokrat\u0173 partija 12.24%\n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 12.48%\n",
"Politin\u0117 partija Rus\u0173 aljansas 13.07%"
]
}
],
"prompt_number": 10
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Am\u017eiaus vidurkis partijose"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data['age'] = (now - data.birthdate).astype('<m8[Y]')\n",
"segment = get_segment().groupby('party').age.agg(['mean', 'min', 'max']).sort('mean')\n",
"segment['mean'] = segment['mean'].astype(int)\n",
"segment.index.rename(None, inplace=True)\n",
"segment.rename(columns={'mean': 'Vidutinis am\u017eius', 'min': 'Jauniausias', 'max': 'Vyriausias'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Vidutinis am\u017eius</th>\n",
" <th>Jauniausias</th>\n",
" <th>Vyriausias</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <td> 38</td>\n",
" <td> 21</td>\n",
" <td> 60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <td> 40</td>\n",
" <td> 23</td>\n",
" <td> 74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <td> 42</td>\n",
" <td> 22</td>\n",
" <td> 80</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Darbo partija</th>\n",
" <td> 43</td>\n",
" <td> 20</td>\n",
" <td> 76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Tautinink\u0173 s\u0105junga</th>\n",
" <td> 44</td>\n",
" <td> 21</td>\n",
" <td> 79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos liaudies partija</th>\n",
" <td> 44</td>\n",
" <td> 20</td>\n",
" <td> 72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <td> 44</td>\n",
" <td> 22</td>\n",
" <td> 76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <td> 45</td>\n",
" <td> 24</td>\n",
" <td> 81</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija Tvarka ir teisingumas</th>\n",
" <td> 46</td>\n",
" <td> 21</td>\n",
" <td> 79</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <td> 46</td>\n",
" <td> 21</td>\n",
" <td> 76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos socialdemokrat\u0173 partija</th>\n",
" <td> 46</td>\n",
" <td> 24</td>\n",
" <td> 74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos lenk\u0173 rinkim\u0173 akcija</th>\n",
" <td> 49</td>\n",
" <td> 49</td>\n",
" <td> 49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <td> 49</td>\n",
" <td> 26</td>\n",
" <td> 74</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <td> 50</td>\n",
" <td> 28</td>\n",
" <td> 69</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos rus\u0173 s\u0105junga</th>\n",
" <td> 52</td>\n",
" <td> 28</td>\n",
" <td> 68</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 11,
"text": [
" Vidutinis am\u017eius \\\n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 38 \n",
"Lietuvos \u017eali\u0173j\u0173 partija 40 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 42 \n",
"Darbo partija 43 \n",
"Tautinink\u0173 s\u0105junga 44 \n",
"Lietuvos liaudies partija 44 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 44 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 45 \n",
"Partija Tvarka ir teisingumas 46 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 46 \n",
"Lietuvos socialdemokrat\u0173 partija 46 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija 49 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 49 \n",
"Politin\u0117 partija Rus\u0173 aljansas 50 \n",
"Lietuvos rus\u0173 s\u0105junga 52 \n",
"\n",
" Jauniausias \\\n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 21 \n",
"Lietuvos \u017eali\u0173j\u0173 partija 23 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 22 \n",
"Darbo partija 20 \n",
"Tautinink\u0173 s\u0105junga 21 \n",
"Lietuvos liaudies partija 20 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 22 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 24 \n",
"Partija Tvarka ir teisingumas 21 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 21 \n",
"Lietuvos socialdemokrat\u0173 partija 24 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija 49 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 26 \n",
"Politin\u0117 partija Rus\u0173 aljansas 28 \n",
"Lietuvos rus\u0173 s\u0105junga 28 \n",
"\n",
" Vyriausias \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 60 \n",
"Lietuvos \u017eali\u0173j\u0173 partija 74 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 80 \n",
"Darbo partija 76 \n",
"Tautinink\u0173 s\u0105junga 79 \n",
"Lietuvos liaudies partija 72 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 76 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 81 \n",
"Partija Tvarka ir teisingumas 79 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 76 \n",
"Lietuvos socialdemokrat\u0173 partija 74 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija 49 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 74 \n",
"Politin\u0117 partija Rus\u0173 aljansas 69 \n",
"Lietuvos rus\u0173 s\u0105junga 68 "
]
}
],
"prompt_number": 11
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Tautyb\u0117"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"segment = get_segment().nationality.value_counts().to_frame('kandidatai')\n",
"segment['procentas'] = (segment.kandidatai / segment.kandidatai.sum() * 100).map(format_percent)\n",
"segment.rename(columns={'kandidatai': 'Kandidatai', 'procentas': 'Procentas'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Kandidatai</th>\n",
" <th>Procentas</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>lietuvis</th>\n",
" <td> 336</td>\n",
" <td> 44.04%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 171</td>\n",
" <td> 22.41%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 69</td>\n",
" <td> 9.04%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0117</th>\n",
" <td> 68</td>\n",
" <td> 8.91%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 49</td>\n",
" <td> 6.42%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 30</td>\n",
" <td> 3.93%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0117</th>\n",
" <td> 18</td>\n",
" <td> 2.36%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainietis (-\u0117)</th>\n",
" <td> 7</td>\n",
" <td> 0.92%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarusis</th>\n",
" <td> 4</td>\n",
" <td> 0.52%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u017eydas</th>\n",
" <td> 3</td>\n",
" <td> 0.39%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>totorius (-\u0117)</th>\n",
" <td> 2</td>\n",
" <td> 0.26%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokietis</th>\n",
" <td> 1</td>\n",
" <td> 0.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lezginas (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 0.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vengras (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 0.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0117</th>\n",
" <td> 1</td>\n",
" <td> 0.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pranc\u016bzas (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 0.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>anglas (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 0.13%</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 12,
"text": [
" Kandidatai Procentas\n",
"lietuvis 336 44.04%\n",
"lietuv\u0117 171 22.41%\n",
"Nenurod\u0117 69 9.04%\n",
"lenk\u0117 68 8.91%\n",
"lenkas 49 6.42%\n",
"rusas 30 3.93%\n",
"rus\u0117 18 2.36%\n",
"ukrainietis (-\u0117) 7 0.92%\n",
"baltarusis 4 0.52%\n",
"\u017eydas 3 0.39%\n",
"totorius (-\u0117) 2 0.26%\n",
"vokietis 1 0.13%\n",
"lezginas (-\u0117) 1 0.13%\n",
"vengras (-\u0117) 1 0.13%\n",
"baltarus\u0117 1 0.13%\n",
"Pranc\u016bzas (-\u0117) 1 0.13%\n",
"anglas (-\u0117) 1 0.13%"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"segment = get_segment().groupby(['party', 'nationality'])['name'].count().to_frame()\n",
"segment = segment.reset_index().sort(['party', 'name'], ascending=[1, 0]).set_index(['party', 'nationality'])\n",
"segment['procentas'] = (segment.name / segment.name.sum(level='party') * 100).map(format_percent)\n",
"segment.index.rename(['Partija', 'Tautyb\u0117'], inplace=True)\n",
"segment.rename(columns={'name': 'Kandidatai', 'procentas': 'Procentas'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>Kandidatai</th>\n",
" <th>Procentas</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija</th>\n",
" <th>Tautyb\u0117</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"8\" valign=\"top\">Darbo partija</th>\n",
" <th>lietuvis</th>\n",
" <td> 25</td>\n",
" <td> 41.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 14</td>\n",
" <td> 23.33%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 10</td>\n",
" <td> 16.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 3</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0117</th>\n",
" <td> 3</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 3</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarusis</th>\n",
" <td> 1</td>\n",
" <td> 1.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0117</th>\n",
" <td> 1</td>\n",
" <td> 1.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"8\" valign=\"top\">Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <th>lenk\u0117</th>\n",
" <td> 51</td>\n",
" <td> 50.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 28</td>\n",
" <td> 27.72%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 10</td>\n",
" <td> 9.90%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 6</td>\n",
" <td> 5.94%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0117</th>\n",
" <td> 3</td>\n",
" <td> 2.97%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0117</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>totorius (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"8\" valign=\"top\">Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <th>lietuvis</th>\n",
" <td> 39</td>\n",
" <td> 60.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 15</td>\n",
" <td> 23.08%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 3</td>\n",
" <td> 4.62%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 3</td>\n",
" <td> 4.62%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0117</th>\n",
" <td> 2</td>\n",
" <td> 3.08%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>anglas (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 1.54%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 1</td>\n",
" <td> 1.54%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainietis (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 1.54%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"8\" valign=\"top\">Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <th>lietuvis</th>\n",
" <td> 65</td>\n",
" <td> 65.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 26</td>\n",
" <td> 26.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 2</td>\n",
" <td> 2.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 2</td>\n",
" <td> 2.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0117</th>\n",
" <td> 2</td>\n",
" <td> 2.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Pranc\u016bzas (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 1.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0117</th>\n",
" <td> 1</td>\n",
" <td> 1.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainietis (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 1.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos lenk\u0173 rinkim\u0173 akcija</th>\n",
" <th>lenkas</th>\n",
" <td> 1</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"6\" valign=\"top\">Lietuvos liaudies partija</th>\n",
" <th>lietuvis</th>\n",
" <td> 12</td>\n",
" <td> 41.38%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 7</td>\n",
" <td> 24.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 5</td>\n",
" <td> 17.24%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 2</td>\n",
" <td> 6.90%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 2</td>\n",
" <td> 6.90%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainietis (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 3.45%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"10\" valign=\"top\">Lietuvos rus\u0173 s\u0105junga</th>\n",
" <th>rusas</th>\n",
" <td> 12</td>\n",
" <td> 30.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 8</td>\n",
" <td> 20.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0117</th>\n",
" <td> 8</td>\n",
" <td> 20.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvis</th>\n",
" <td> 3</td>\n",
" <td> 7.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u017eydas</th>\n",
" <td> 3</td>\n",
" <td> 7.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainietis (-\u0117)</th>\n",
" <td> 2</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarusis</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0117</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lezginas (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"8\" valign=\"top\">Lietuvos socialdemokrat\u0173 partija</th>\n",
" <th>lietuvis</th>\n",
" <td> 31</td>\n",
" <td> 50.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 16</td>\n",
" <td> 25.81%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 9</td>\n",
" <td> 14.52%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 2</td>\n",
" <td> 3.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarusis</th>\n",
" <td> 1</td>\n",
" <td> 1.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 1</td>\n",
" <td> 1.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0117</th>\n",
" <td> 1</td>\n",
" <td> 1.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>totorius (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 1.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"7\" valign=\"top\">Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <th>lietuvis</th>\n",
" <td> 17</td>\n",
" <td> 42.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 13</td>\n",
" <td> 32.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 6</td>\n",
" <td> 15.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vengras (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokietis</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <th>lietuvis</th>\n",
" <td> 17</td>\n",
" <td> 54.84%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 13</td>\n",
" <td> 41.94%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 1</td>\n",
" <td> 3.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"9\" valign=\"top\">Partija Tvarka ir teisingumas</th>\n",
" <th>lietuvis</th>\n",
" <td> 42</td>\n",
" <td> 52.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 19</td>\n",
" <td> 23.75%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 6</td>\n",
" <td> 7.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 4</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0117</th>\n",
" <td> 4</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0117</th>\n",
" <td> 2</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarusis</th>\n",
" <td> 1</td>\n",
" <td> 1.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rusas</th>\n",
" <td> 1</td>\n",
" <td> 1.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainietis (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 1.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <th>lenk\u0117</th>\n",
" <td> 7</td>\n",
" <td> 46.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 4</td>\n",
" <td> 26.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenkas</th>\n",
" <td> 4</td>\n",
" <td> 26.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <th>lietuvis</th>\n",
" <td> 19</td>\n",
" <td> 48.72%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 17</td>\n",
" <td> 43.59%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 3</td>\n",
" <td> 7.69%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">Tautinink\u0173 s\u0105junga</th>\n",
" <th>lietuvis</th>\n",
" <td> 19</td>\n",
" <td> 67.86%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 8</td>\n",
" <td> 28.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainietis (-\u0117)</th>\n",
" <td> 1</td>\n",
" <td> 3.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <th>lietuvis</th>\n",
" <td> 47</td>\n",
" <td> 65.28%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuv\u0117</th>\n",
" <td> 22</td>\n",
" <td> 30.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Nenurod\u0117</th>\n",
" <td> 3</td>\n",
" <td> 4.17%</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 13,
"text": [
" Kandidatai \\\n",
"Partija Tautyb\u0117 \n",
"Darbo partija lietuvis 25 \n",
" lietuv\u0117 14 \n",
" Nenurod\u0117 10 \n",
" lenkas 3 \n",
" lenk\u0117 3 \n",
" rusas 3 \n",
" baltarusis 1 \n",
" rus\u0117 1 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) lenk\u0117 51 \n",
" lenkas 28 \n",
" Nenurod\u0117 10 \n",
" rusas 6 \n",
" rus\u0117 3 \n",
" baltarus\u0117 1 \n",
" lietuv\u0117 1 \n",
" totorius (-\u0117) 1 \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis lietuvis 39 \n",
" lietuv\u0117 15 \n",
" Nenurod\u0117 3 \n",
" lenkas 3 \n",
" lenk\u0117 2 \n",
" anglas (-\u0117) 1 \n",
" rusas 1 \n",
" ukrainietis (-\u0117) 1 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) lietuvis 65 \n",
" lietuv\u0117 26 \n",
" Nenurod\u0117 2 \n",
" rusas 2 \n",
" rus\u0117 2 \n",
" Pranc\u016bzas (-\u0117) 1 \n",
" lenk\u0117 1 \n",
" ukrainietis (-\u0117) 1 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija lenkas 1 \n",
"Lietuvos liaudies partija lietuvis 12 \n",
" lietuv\u0117 7 \n",
" Nenurod\u0117 5 \n",
" lenkas 2 \n",
" rusas 2 \n",
" ukrainietis (-\u0117) 1 \n",
"Lietuvos rus\u0173 s\u0105junga rusas 12 \n",
" Nenurod\u0117 8 \n",
" rus\u0117 8 \n",
" lietuvis 3 \n",
" \u017eydas 3 \n",
" ukrainietis (-\u0117) 2 \n",
" baltarusis 1 \n",
" lenkas 1 \n",
" lenk\u0117 1 \n",
" lezginas (-\u0117) 1 \n",
"Lietuvos socialdemokrat\u0173 partija lietuvis 31 \n",
" lietuv\u0117 16 \n",
" Nenurod\u0117 9 \n",
" rusas 2 \n",
" baltarusis 1 \n",
" lenkas 1 \n",
" lenk\u0117 1 \n",
" totorius (-\u0117) 1 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga lietuvis 17 \n",
" lietuv\u0117 13 \n",
" Nenurod\u0117 6 \n",
" lenkas 1 \n",
" rusas 1 \n",
" vengras (-\u0117) 1 \n",
" vokietis 1 \n",
"Lietuvos \u017eali\u0173j\u0173 partija lietuvis 17 \n",
" lietuv\u0117 13 \n",
" lenkas 1 \n",
"Partija Tvarka ir teisingumas lietuvis 42 \n",
" lietuv\u0117 19 \n",
" Nenurod\u0117 6 \n",
" lenkas 4 \n",
" rus\u0117 4 \n",
" lenk\u0117 2 \n",
" baltarusis 1 \n",
" rusas 1 \n",
" ukrainietis (-\u0117) 1 \n",
"Politin\u0117 partija Rus\u0173 aljansas lenk\u0117 7 \n",
" Nenurod\u0117 4 \n",
" lenkas 4 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c lietuvis 19 \n",
" lietuv\u0117 17 \n",
" Nenurod\u0117 3 \n",
"Tautinink\u0173 s\u0105junga lietuvis 19 \n",
" lietuv\u0117 8 \n",
" ukrainietis (-\u0117) 1 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai lietuvis 47 \n",
" lietuv\u0117 22 \n",
" Nenurod\u0117 3 \n",
"\n",
" Procentas \n",
"Partija Tautyb\u0117 \n",
"Darbo partija lietuvis 41.67% \n",
" lietuv\u0117 23.33% \n",
" Nenurod\u0117 16.67% \n",
" lenkas 5.00% \n",
" lenk\u0117 5.00% \n",
" rusas 5.00% \n",
" baltarusis 1.67% \n",
" rus\u0117 1.67% \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) lenk\u0117 50.50% \n",
" lenkas 27.72% \n",
" Nenurod\u0117 9.90% \n",
" rusas 5.94% \n",
" rus\u0117 2.97% \n",
" baltarus\u0117 0.99% \n",
" lietuv\u0117 0.99% \n",
" totorius (-\u0117) 0.99% \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis lietuvis 60.00% \n",
" lietuv\u0117 23.08% \n",
" Nenurod\u0117 4.62% \n",
" lenkas 4.62% \n",
" lenk\u0117 3.08% \n",
" anglas (-\u0117) 1.54% \n",
" rusas 1.54% \n",
" ukrainietis (-\u0117) 1.54% \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) lietuvis 65.00% \n",
" lietuv\u0117 26.00% \n",
" Nenurod\u0117 2.00% \n",
" rusas 2.00% \n",
" rus\u0117 2.00% \n",
" Pranc\u016bzas (-\u0117) 1.00% \n",
" lenk\u0117 1.00% \n",
" ukrainietis (-\u0117) 1.00% \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija lenkas 100.00% \n",
"Lietuvos liaudies partija lietuvis 41.38% \n",
" lietuv\u0117 24.14% \n",
" Nenurod\u0117 17.24% \n",
" lenkas 6.90% \n",
" rusas 6.90% \n",
" ukrainietis (-\u0117) 3.45% \n",
"Lietuvos rus\u0173 s\u0105junga rusas 30.00% \n",
" Nenurod\u0117 20.00% \n",
" rus\u0117 20.00% \n",
" lietuvis 7.50% \n",
" \u017eydas 7.50% \n",
" ukrainietis (-\u0117) 5.00% \n",
" baltarusis 2.50% \n",
" lenkas 2.50% \n",
" lenk\u0117 2.50% \n",
" lezginas (-\u0117) 2.50% \n",
"Lietuvos socialdemokrat\u0173 partija lietuvis 50.00% \n",
" lietuv\u0117 25.81% \n",
" Nenurod\u0117 14.52% \n",
" rusas 3.23% \n",
" baltarusis 1.61% \n",
" lenkas 1.61% \n",
" lenk\u0117 1.61% \n",
" totorius (-\u0117) 1.61% \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga lietuvis 42.50% \n",
" lietuv\u0117 32.50% \n",
" Nenurod\u0117 15.00% \n",
" lenkas 2.50% \n",
" rusas 2.50% \n",
" vengras (-\u0117) 2.50% \n",
" vokietis 2.50% \n",
"Lietuvos \u017eali\u0173j\u0173 partija lietuvis 54.84% \n",
" lietuv\u0117 41.94% \n",
" lenkas 3.23% \n",
"Partija Tvarka ir teisingumas lietuvis 52.50% \n",
" lietuv\u0117 23.75% \n",
" Nenurod\u0117 7.50% \n",
" lenkas 5.00% \n",
" rus\u0117 5.00% \n",
" lenk\u0117 2.50% \n",
" baltarusis 1.25% \n",
" rusas 1.25% \n",
" ukrainietis (-\u0117) 1.25% \n",
"Politin\u0117 partija Rus\u0173 aljansas lenk\u0117 46.67% \n",
" Nenurod\u0117 26.67% \n",
" lenkas 26.67% \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c lietuvis 48.72% \n",
" lietuv\u0117 43.59% \n",
" Nenurod\u0117 7.69% \n",
"Tautinink\u0173 s\u0105junga lietuvis 67.86% \n",
" lietuv\u0117 28.57% \n",
" ukrainietis (-\u0117) 3.57% \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai lietuvis 65.28% \n",
" lietuv\u0117 30.56% \n",
" Nenurod\u0117 4.17% "
]
}
],
"prompt_number": 13
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Turto segment\u0173 palyginimas"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data['visasturtas'] = (data.turtas + data.vertybiniai + data.pinigai + data.suteiktospaskolos).fillna(0)\n",
"segments = [-1, 0, 5e4, 5e5, 2e6, int(get_segment().visasturtas.max()+1)]\n",
"data['ts'] = pd.cut(data.visasturtas, segments, labels=['turto neturi', '<50 t\u016bkst.', '<500 t\u016bkst.', '<2 mln.', '>2 mln.'])\n",
"segment = get_segment()\n",
"segment = segment.groupby(['party', 'ts']).visasturtas.count().to_frame()\n",
"segment.index.rename(['Partija', 'Turto segmentai'], inplace=True)\n",
"segment.rename(columns={'visasturtas': 'Kandidatai'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>Kandidatai</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija</th>\n",
" <th>Turto segmentai</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">Darbo partija</th>\n",
" <th>turto neturi</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&gt;2 mln.</th>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <th>turto neturi</th>\n",
" <td> 11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 7</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <th>turto neturi</th>\n",
" <td> 10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&gt;2 mln.</th>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <th>turto neturi</th>\n",
" <td> 16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&gt;2 mln.</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos lenk\u0173 rinkim\u0173 akcija</th>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 1</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">Lietuvos liaudies partija</th>\n",
" <th>turto neturi</th>\n",
" <td> 7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 14</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">Lietuvos rus\u0173 s\u0105junga</th>\n",
" <th>turto neturi</th>\n",
" <td> 6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 4</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">Lietuvos socialdemokrat\u0173 partija</th>\n",
" <th>turto neturi</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&gt;2 mln.</th>\n",
" <td> 1</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <th>turto neturi</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <th>turto neturi</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&gt;2 mln.</th>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">Partija Tvarka ir teisingumas</th>\n",
" <th>turto neturi</th>\n",
" <td> 15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&gt;2 mln.</th>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"3\" valign=\"top\">Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <th>turto neturi</th>\n",
" <td> 1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <th>turto neturi</th>\n",
" <td> 6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 6</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">Tautinink\u0173 s\u0105junga</th>\n",
" <th>turto neturi</th>\n",
" <td> 9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 2</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <th>turto neturi</th>\n",
" <td> 4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;50 t\u016bkst.</th>\n",
" <td> 14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;500 t\u016bkst.</th>\n",
" <td> 42</td>\n",
" </tr>\n",
" <tr>\n",
" <th>&lt;2 mln.</th>\n",
" <td> 12</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 14,
"text": [
" Kandidatai\n",
"Partija Turto segmentai \n",
"Darbo partija turto neturi 5\n",
" <50 t\u016bkst. 11\n",
" <500 t\u016bkst. 30\n",
" <2 mln. 12\n",
" >2 mln. 2\n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) turto neturi 11\n",
" <50 t\u016bkst. 21\n",
" <500 t\u016bkst. 62\n",
" <2 mln. 7\n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis turto neturi 10\n",
" <50 t\u016bkst. 12\n",
" <500 t\u016bkst. 27\n",
" <2 mln. 14\n",
" >2 mln. 2\n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) turto neturi 16\n",
" <50 t\u016bkst. 8\n",
" <500 t\u016bkst. 49\n",
" <2 mln. 22\n",
" >2 mln. 5\n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija <2 mln. 1\n",
"Lietuvos liaudies partija turto neturi 7\n",
" <50 t\u016bkst. 8\n",
" <500 t\u016bkst. 14\n",
"Lietuvos rus\u0173 s\u0105junga turto neturi 6\n",
" <50 t\u016bkst. 3\n",
" <500 t\u016bkst. 27\n",
" <2 mln. 4\n",
"Lietuvos socialdemokrat\u0173 partija turto neturi 5\n",
" <50 t\u016bkst. 5\n",
" <500 t\u016bkst. 35\n",
" <2 mln. 16\n",
" >2 mln. 1\n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga turto neturi 5\n",
" <50 t\u016bkst. 5\n",
" <500 t\u016bkst. 28\n",
" <2 mln. 2\n",
"Lietuvos \u017eali\u0173j\u0173 partija turto neturi 5\n",
" <50 t\u016bkst. 6\n",
" <500 t\u016bkst. 18\n",
" >2 mln. 2\n",
"Partija Tvarka ir teisingumas turto neturi 15\n",
" <50 t\u016bkst. 14\n",
" <500 t\u016bkst. 34\n",
" <2 mln. 15\n",
" >2 mln. 2\n",
"Politin\u0117 partija Rus\u0173 aljansas turto neturi 1\n",
" <500 t\u016bkst. 12\n",
" <2 mln. 2\n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c turto neturi 6\n",
" <50 t\u016bkst. 5\n",
" <500 t\u016bkst. 22\n",
" <2 mln. 6\n",
"Tautinink\u0173 s\u0105junga turto neturi 9\n",
" <50 t\u016bkst. 3\n",
" <500 t\u016bkst. 14\n",
" <2 mln. 2\n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai turto neturi 4\n",
" <50 t\u016bkst. 14\n",
" <500 t\u016bkst. 42\n",
" <2 mln. 12"
]
}
],
"prompt_number": 14
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Milijonieri\u0173 skai\u010dius partijose"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data['visasturtas'] = (data.turtas + data.vertybiniai + data.pinigai + data.suteiktospaskolos).fillna(0)\n",
"segments = [-1, 1e6, int(data.visasturtas.max()+1)]\n",
"data['ts'] = pd.cut(data.visasturtas, segments, labels=['varguoliai', 'milijonieriai'])\n",
"segment = get_segment().groupby(['party', 'ts']).visasturtas.agg(['count', 'sum'])\n",
"segment['percent'] = (segment['sum'] / segment['sum'].sum(level='party') * 100).map(format_percent)\n",
"segment['sum'] = segment['sum'].map('{:,}'.format)\n",
"segment.index.rename(['Partija', 'Kategorija'], inplace=True)\n",
"segment.rename(columns={'count': 'Kandidatai', 'sum': 'Turtas', 'percent': 'Turto %'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>Kandidatai</th>\n",
" <th>Turtas</th>\n",
" <th>Turto %</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija</th>\n",
" <th>Kategorija</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Darbo partija</th>\n",
" <th>varguoliai</th>\n",
" <td> 56</td>\n",
" <td> 13,401,846.0</td>\n",
" <td> 51.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 4</td>\n",
" <td> 12,809,786.0</td>\n",
" <td> 48.87%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <th>varguoliai</th>\n",
" <td> 98</td>\n",
" <td> 18,410,863.0</td>\n",
" <td> 84.60%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 3</td>\n",
" <td> 3,350,118.0</td>\n",
" <td> 15.40%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <th>varguoliai</th>\n",
" <td> 59</td>\n",
" <td> 13,259,549.0</td>\n",
" <td> 14.79%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 6</td>\n",
" <td> 76,400,843.0</td>\n",
" <td> 85.21%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <th>varguoliai</th>\n",
" <td> 89</td>\n",
" <td> 21,683,873.0</td>\n",
" <td> 41.93%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 11</td>\n",
" <td> 30,034,396.0</td>\n",
" <td> 58.07%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos lenk\u0173 rinkim\u0173 akcija</th>\n",
" <th>varguoliai</th>\n",
" <td> 1</td>\n",
" <td> 647,766.0</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos liaudies partija</th>\n",
" <th>varguoliai</th>\n",
" <td> 29</td>\n",
" <td> 3,046,621.0</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos rus\u0173 s\u0105junga</th>\n",
" <th>varguoliai</th>\n",
" <td> 40</td>\n",
" <td> 8,984,173.0</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Lietuvos socialdemokrat\u0173 partija</th>\n",
" <th>varguoliai</th>\n",
" <td> 58</td>\n",
" <td> 18,902,353.0</td>\n",
" <td> 71.87%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 4</td>\n",
" <td> 7,396,843.0</td>\n",
" <td> 28.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <th>varguoliai</th>\n",
" <td> 40</td>\n",
" <td> 6,850,931.0</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <th>varguoliai</th>\n",
" <td> 29</td>\n",
" <td> 4,476,548.0</td>\n",
" <td> 11.43%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 2</td>\n",
" <td> 34,704,668.0</td>\n",
" <td> 88.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Partija Tvarka ir teisingumas</th>\n",
" <th>varguoliai</th>\n",
" <td> 76</td>\n",
" <td> 17,639,530.0</td>\n",
" <td> 48.81%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 4</td>\n",
" <td> 18,500,426.0</td>\n",
" <td> 51.19%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <th>varguoliai</th>\n",
" <td> 15</td>\n",
" <td> 3,839,727.0</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <th>varguoliai</th>\n",
" <td> 37</td>\n",
" <td> 8,095,649.0</td>\n",
" <td> 76.37%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 2</td>\n",
" <td> 2,505,600.0</td>\n",
" <td> 23.63%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Tautinink\u0173 s\u0105junga</th>\n",
" <th>varguoliai</th>\n",
" <td> 28</td>\n",
" <td> 4,487,698.0</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"2\" valign=\"top\">T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <th>varguoliai</th>\n",
" <td> 71</td>\n",
" <td> 19,014,030.0</td>\n",
" <td> 91.12%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>milijonieriai</th>\n",
" <td> 1</td>\n",
" <td> 1,852,160.0</td>\n",
" <td> 8.88%</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
" Kandidatai \\\n",
"Partija Kategorija \n",
"Darbo partija varguoliai 56 \n",
" milijonieriai 4 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) varguoliai 98 \n",
" milijonieriai 3 \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis varguoliai 59 \n",
" milijonieriai 6 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) varguoliai 89 \n",
" milijonieriai 11 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija varguoliai 1 \n",
"Lietuvos liaudies partija varguoliai 29 \n",
"Lietuvos rus\u0173 s\u0105junga varguoliai 40 \n",
"Lietuvos socialdemokrat\u0173 partija varguoliai 58 \n",
" milijonieriai 4 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga varguoliai 40 \n",
"Lietuvos \u017eali\u0173j\u0173 partija varguoliai 29 \n",
" milijonieriai 2 \n",
"Partija Tvarka ir teisingumas varguoliai 76 \n",
" milijonieriai 4 \n",
"Politin\u0117 partija Rus\u0173 aljansas varguoliai 15 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c varguoliai 37 \n",
" milijonieriai 2 \n",
"Tautinink\u0173 s\u0105junga varguoliai 28 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai varguoliai 71 \n",
" milijonieriai 1 \n",
"\n",
" Turtas \\\n",
"Partija Kategorija \n",
"Darbo partija varguoliai 13,401,846.0 \n",
" milijonieriai 12,809,786.0 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) varguoliai 18,410,863.0 \n",
" milijonieriai 3,350,118.0 \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis varguoliai 13,259,549.0 \n",
" milijonieriai 76,400,843.0 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) varguoliai 21,683,873.0 \n",
" milijonieriai 30,034,396.0 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija varguoliai 647,766.0 \n",
"Lietuvos liaudies partija varguoliai 3,046,621.0 \n",
"Lietuvos rus\u0173 s\u0105junga varguoliai 8,984,173.0 \n",
"Lietuvos socialdemokrat\u0173 partija varguoliai 18,902,353.0 \n",
" milijonieriai 7,396,843.0 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga varguoliai 6,850,931.0 \n",
"Lietuvos \u017eali\u0173j\u0173 partija varguoliai 4,476,548.0 \n",
" milijonieriai 34,704,668.0 \n",
"Partija Tvarka ir teisingumas varguoliai 17,639,530.0 \n",
" milijonieriai 18,500,426.0 \n",
"Politin\u0117 partija Rus\u0173 aljansas varguoliai 3,839,727.0 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c varguoliai 8,095,649.0 \n",
" milijonieriai 2,505,600.0 \n",
"Tautinink\u0173 s\u0105junga varguoliai 4,487,698.0 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai varguoliai 19,014,030.0 \n",
" milijonieriai 1,852,160.0 \n",
"\n",
" Turto % \n",
"Partija Kategorija \n",
"Darbo partija varguoliai 51.13% \n",
" milijonieriai 48.87% \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) varguoliai 84.60% \n",
" milijonieriai 15.40% \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis varguoliai 14.79% \n",
" milijonieriai 85.21% \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) varguoliai 41.93% \n",
" milijonieriai 58.07% \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija varguoliai 100.00% \n",
"Lietuvos liaudies partija varguoliai 100.00% \n",
"Lietuvos rus\u0173 s\u0105junga varguoliai 100.00% \n",
"Lietuvos socialdemokrat\u0173 partija varguoliai 71.87% \n",
" milijonieriai 28.13% \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga varguoliai 100.00% \n",
"Lietuvos \u017eali\u0173j\u0173 partija varguoliai 11.43% \n",
" milijonieriai 88.57% \n",
"Partija Tvarka ir teisingumas varguoliai 48.81% \n",
" milijonieriai 51.19% \n",
"Politin\u0117 partija Rus\u0173 aljansas varguoliai 100.00% \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c varguoliai 76.37% \n",
" milijonieriai 23.63% \n",
"Tautinink\u0173 s\u0105junga varguoliai 100.00% \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai varguoliai 91.12% \n",
" milijonieriai 8.88% "
]
}
],
"prompt_number": 15
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Kandidatai, kurie rinkimuose dalyvauja ne pirm\u0105 kart\u0105"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"grp = get_segment().groupby('party')\n",
"result = grp.otherelections.count().to_frame()\n",
"result['count'] = grp['name'].count()\n",
"result.index.rename(None, inplace=True)\n",
"result.sort('otherelections').rename(columns={\n",
" 'otherelections': 'Kandidatuoja ne pirm\u0105 kart\u0105',\n",
" 'count': 'Viso kandidat\u0173 partijoje',\n",
"})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Kandidatuoja ne pirm\u0105 kart\u0105</th>\n",
" <th>Viso kandidat\u0173 partijoje</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <td> 0</td>\n",
" <td> 15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos lenk\u0173 rinkim\u0173 akcija</th>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <td> 1</td>\n",
" <td> 39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos liaudies partija</th>\n",
" <td> 2</td>\n",
" <td> 29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <td> 2</td>\n",
" <td> 31</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <td> 3</td>\n",
" <td> 40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <td> 5</td>\n",
" <td> 65</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos rus\u0173 s\u0105junga</th>\n",
" <td> 5</td>\n",
" <td> 40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos socialdemokrat\u0173 partija</th>\n",
" <td> 5</td>\n",
" <td> 62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Tautinink\u0173 s\u0105junga</th>\n",
" <td> 5</td>\n",
" <td> 28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Darbo partija</th>\n",
" <td> 8</td>\n",
" <td> 60</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija Tvarka ir teisingumas</th>\n",
" <td> 11</td>\n",
" <td> 80</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <td> 13</td>\n",
" <td> 101</td>\n",
" </tr>\n",
" <tr>\n",
" <th>T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <td> 17</td>\n",
" <td> 72</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <td> 20</td>\n",
" <td> 100</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
" Kandidatuoja ne pirm\u0105 kart\u0105 \\\n",
"Politin\u0117 partija Rus\u0173 aljansas 0 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija 1 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 1 \n",
"Lietuvos liaudies partija 2 \n",
"Lietuvos \u017eali\u0173j\u0173 partija 2 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 3 \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 5 \n",
"Lietuvos rus\u0173 s\u0105junga 5 \n",
"Lietuvos socialdemokrat\u0173 partija 5 \n",
"Tautinink\u0173 s\u0105junga 5 \n",
"Darbo partija 8 \n",
"Partija Tvarka ir teisingumas 11 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 13 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 17 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 20 \n",
"\n",
" Viso kandidat\u0173 partijoje \n",
"Politin\u0117 partija Rus\u0173 aljansas 15 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija 1 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c 39 \n",
"Lietuvos liaudies partija 29 \n",
"Lietuvos \u017eali\u0173j\u0173 partija 31 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga 40 \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis 65 \n",
"Lietuvos rus\u0173 s\u0105junga 40 \n",
"Lietuvos socialdemokrat\u0173 partija 62 \n",
"Tautinink\u0173 s\u0105junga 28 \n",
"Darbo partija 60 \n",
"Partija Tvarka ir teisingumas 80 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) 101 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai 72 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) 100 "
]
}
],
"prompt_number": 16
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Kalb\u0173 mok\u0117jimas partijose"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def extract_languages(frame):\n",
" repl = {'nan': 'jokios'}\n",
" for i, x in frame.iterrows():\n",
" for lang in str(x.languages).replace(',', ' ').split():\n",
" if lang != 'pagrindai':\n",
" yield {'party': x.party, 'language': repl.get(lang, lang)}\n",
"\n",
"result = pd.DataFrame(extract_languages(get_segment())).reset_index()\n",
"result = result.groupby(['party', 'language']).count()\n",
"result = result.reset_index().sort(['party', 'index'], ascending=[1, 0]).set_index(['party'])\n",
"result['Procentas'] = (result['index'] / get_segment().party.value_counts() * 100).map(format_percent)\n",
"result.set_index('language', append=True, inplace=True)\n",
"result.index.rename(['Partija', 'Kalba'], inplace=True)\n",
"result.rename(columns={'index': 'Kandidatai'})"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>Kandidatai</th>\n",
" <th>Procentas</th>\n",
" </tr>\n",
" <tr>\n",
" <th>Partija</th>\n",
" <th>Kalba</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"12\" valign=\"top\">Darbo partija</th>\n",
" <th>rus\u0173</th>\n",
" <td> 50</td>\n",
" <td> 83.33%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 43</td>\n",
" <td> 71.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 22</td>\n",
" <td> 36.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 12</td>\n",
" <td> 20.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 9</td>\n",
" <td> 15.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 7</td>\n",
" <td> 11.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 3</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 3</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0173</th>\n",
" <td> 2</td>\n",
" <td> 3.33%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainie\u010di\u0173</th>\n",
" <td> 2</td>\n",
" <td> 3.33%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>bulgar\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>kin\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"12\" valign=\"top\">Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117)</th>\n",
" <th>rus\u0173</th>\n",
" <td> 82</td>\n",
" <td> 81.19%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 43</td>\n",
" <td> 42.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 40</td>\n",
" <td> 39.60%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 17</td>\n",
" <td> 16.83%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 11</td>\n",
" <td> 10.89%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 2</td>\n",
" <td> 1.98%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 2</td>\n",
" <td> 1.98%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0173</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>portugal\u0173</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>totori\u0173</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainie\u010di\u0173</th>\n",
" <td> 1</td>\n",
" <td> 0.99%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"11\" valign=\"top\">Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis</th>\n",
" <th>angl\u0173</th>\n",
" <td> 59</td>\n",
" <td> 90.77%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0173</th>\n",
" <td> 54</td>\n",
" <td> 83.08%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 16</td>\n",
" <td> 24.62%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 15</td>\n",
" <td> 23.08%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 6</td>\n",
" <td> 9.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 4</td>\n",
" <td> 6.15%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lotyn\u0173</th>\n",
" <td> 3</td>\n",
" <td> 4.62%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 2</td>\n",
" <td> 3.08%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ital\u0173</th>\n",
" <td> 2</td>\n",
" <td> 3.08%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.54%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u010dek\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.54%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"11\" valign=\"top\">Lietuvos laisv\u0117s s\u0105junga (liberalai)</th>\n",
" <th>rus\u0173</th>\n",
" <td> 85</td>\n",
" <td> 85.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 77</td>\n",
" <td> 77.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 23</td>\n",
" <td> 23.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 15</td>\n",
" <td> 15.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 7</td>\n",
" <td> 7.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 7</td>\n",
" <td> 7.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ital\u0173</th>\n",
" <td> 4</td>\n",
" <td> 4.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 3</td>\n",
" <td> 3.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 3</td>\n",
" <td> 3.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lotyn\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>turk\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"4\" valign=\"top\">Lietuvos lenk\u0173 rinkim\u0173 akcija</th>\n",
" <th>baltarus\u0173</th>\n",
" <td> 1</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 1</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0173</th>\n",
" <td> 1</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainie\u010di\u0173</th>\n",
" <td> 1</td>\n",
" <td> 100.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"6\" valign=\"top\">Lietuvos liaudies partija</th>\n",
" <th>rus\u0173</th>\n",
" <td> 19</td>\n",
" <td> 65.52%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 16</td>\n",
" <td> 55.17%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 7</td>\n",
" <td> 24.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 7</td>\n",
" <td> 24.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 6</td>\n",
" <td> 20.69%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.45%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"7\" valign=\"top\">Lietuvos rus\u0173 s\u0105junga</th>\n",
" <th>rus\u0173</th>\n",
" <td> 28</td>\n",
" <td> 70.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 15</td>\n",
" <td> 37.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 13</td>\n",
" <td> 32.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 10</td>\n",
" <td> 25.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 4</td>\n",
" <td> 10.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>latvi\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"12\" valign=\"top\">Lietuvos socialdemokrat\u0173 partija</th>\n",
" <th>rus\u0173</th>\n",
" <td> 54</td>\n",
" <td> 87.10%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 43</td>\n",
" <td> 69.35%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 17</td>\n",
" <td> 27.42%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 10</td>\n",
" <td> 16.13%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 6</td>\n",
" <td> 9.68%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 5</td>\n",
" <td> 8.06%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 5</td>\n",
" <td> 8.06%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0173</th>\n",
" <td> 2</td>\n",
" <td> 3.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainie\u010di\u0173</th>\n",
" <td> 2</td>\n",
" <td> 3.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>latvi\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>libanie\u010di\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"13\" valign=\"top\">Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga</th>\n",
" <th>rus\u0173</th>\n",
" <td> 31</td>\n",
" <td> 77.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 29</td>\n",
" <td> 72.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 14</td>\n",
" <td> 35.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 12</td>\n",
" <td> 30.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 4</td>\n",
" <td> 10.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0173</th>\n",
" <td> 3</td>\n",
" <td> 7.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 2</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>esperanto</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lotyn\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>serb\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainie\u010di\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.50%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"8\" valign=\"top\">Lietuvos \u017eali\u0173j\u0173 partija</th>\n",
" <th>rus\u0173</th>\n",
" <td> 28</td>\n",
" <td> 90.32%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 27</td>\n",
" <td> 87.10%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 9</td>\n",
" <td> 29.03%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 6</td>\n",
" <td> 19.35%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ital\u0173</th>\n",
" <td> 2</td>\n",
" <td> 6.45%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>norveg\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.23%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"11\" valign=\"top\">Partija Tvarka ir teisingumas</th>\n",
" <th>rus\u0173</th>\n",
" <td> 69</td>\n",
" <td> 86.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 56</td>\n",
" <td> 70.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 23</td>\n",
" <td> 28.75%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 20</td>\n",
" <td> 25.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 7</td>\n",
" <td> 8.75%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 5</td>\n",
" <td> 6.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 4</td>\n",
" <td> 5.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ital\u0173</th>\n",
" <td> 3</td>\n",
" <td> 3.75%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lotyn\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainie\u010di\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.25%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"7\" valign=\"top\">Politin\u0117 partija Rus\u0173 aljansas</th>\n",
" <th>rus\u0173</th>\n",
" <td> 9</td>\n",
" <td> 60.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 7</td>\n",
" <td> 46.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 6</td>\n",
" <td> 40.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 4</td>\n",
" <td> 26.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 2</td>\n",
" <td> 13.33%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>baltarus\u0173</th>\n",
" <td> 1</td>\n",
" <td> 6.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 1</td>\n",
" <td> 6.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"11\" valign=\"top\">Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c</th>\n",
" <th>rus\u0173</th>\n",
" <td> 34</td>\n",
" <td> 87.18%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 28</td>\n",
" <td> 71.79%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 8</td>\n",
" <td> 20.51%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 6</td>\n",
" <td> 15.38%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 5</td>\n",
" <td> 12.82%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ital\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>kroat\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>norveg\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>serb\u0173</th>\n",
" <td> 1</td>\n",
" <td> 2.56%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"11\" valign=\"top\">Tautinink\u0173 s\u0105junga</th>\n",
" <th>angl\u0173</th>\n",
" <td> 23</td>\n",
" <td> 82.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rus\u0173</th>\n",
" <td> 23</td>\n",
" <td> 82.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 8</td>\n",
" <td> 28.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 7</td>\n",
" <td> 25.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 2</td>\n",
" <td> 7.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lotyn\u0173</th>\n",
" <td> 2</td>\n",
" <td> 7.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 2</td>\n",
" <td> 7.14%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>latvi\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ukrainie\u010di\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u010dek\u0173</th>\n",
" <td> 1</td>\n",
" <td> 3.57%</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"11\" valign=\"top\">T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai</th>\n",
" <th>rus\u0173</th>\n",
" <td> 54</td>\n",
" <td> 75.00%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>angl\u0173</th>\n",
" <td> 53</td>\n",
" <td> 73.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vokie\u010di\u0173</th>\n",
" <td> 17</td>\n",
" <td> 23.61%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lenk\u0173</th>\n",
" <td> 12</td>\n",
" <td> 16.67%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pranc\u016bz\u0173</th>\n",
" <td> 8</td>\n",
" <td> 11.11%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>jokios</th>\n",
" <td> 7</td>\n",
" <td> 9.72%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lietuvi\u0173</th>\n",
" <td> 2</td>\n",
" <td> 2.78%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>esperanto</th>\n",
" <td> 1</td>\n",
" <td> 1.39%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ispan\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.39%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>ital\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.39%</td>\n",
" </tr>\n",
" <tr>\n",
" <th>suomi\u0173</th>\n",
" <td> 1</td>\n",
" <td> 1.39%</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": [
" Kandidatai \\\n",
"Partija Kalba \n",
"Darbo partija rus\u0173 50 \n",
" angl\u0173 43 \n",
" lenk\u0173 22 \n",
" vokie\u010di\u0173 12 \n",
" jokios 9 \n",
" pranc\u016bz\u0173 7 \n",
" ispan\u0173 3 \n",
" lietuvi\u0173 3 \n",
" baltarus\u0173 2 \n",
" ukrainie\u010di\u0173 2 \n",
" bulgar\u0173 1 \n",
" kin\u0173 1 \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) rus\u0173 82 \n",
" angl\u0173 43 \n",
" lenk\u0173 40 \n",
" vokie\u010di\u0173 17 \n",
" jokios 11 \n",
" lietuvi\u0173 2 \n",
" pranc\u016bz\u0173 2 \n",
" baltarus\u0173 1 \n",
" ispan\u0173 1 \n",
" portugal\u0173 1 \n",
" totori\u0173 1 \n",
" ukrainie\u010di\u0173 1 \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis angl\u0173 59 \n",
" rus\u0173 54 \n",
" lenk\u0173 16 \n",
" vokie\u010di\u0173 15 \n",
" pranc\u016bz\u0173 6 \n",
" jokios 4 \n",
" lotyn\u0173 3 \n",
" ispan\u0173 2 \n",
" ital\u0173 2 \n",
" baltarus\u0173 1 \n",
" \u010dek\u0173 1 \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) rus\u0173 85 \n",
" angl\u0173 77 \n",
" lenk\u0173 23 \n",
" vokie\u010di\u0173 15 \n",
" jokios 7 \n",
" pranc\u016bz\u0173 7 \n",
" ital\u0173 4 \n",
" ispan\u0173 3 \n",
" lietuvi\u0173 3 \n",
" lotyn\u0173 1 \n",
" turk\u0173 1 \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija baltarus\u0173 1 \n",
" lenk\u0173 1 \n",
" rus\u0173 1 \n",
" ukrainie\u010di\u0173 1 \n",
"Lietuvos liaudies partija rus\u0173 19 \n",
" angl\u0173 16 \n",
" jokios 7 \n",
" vokie\u010di\u0173 7 \n",
" lenk\u0173 6 \n",
" pranc\u016bz\u0173 1 \n",
"Lietuvos rus\u0173 s\u0105junga rus\u0173 28 \n",
" angl\u0173 15 \n",
" lenk\u0173 13 \n",
" jokios 10 \n",
" vokie\u010di\u0173 4 \n",
" baltarus\u0173 1 \n",
" latvi\u0173 1 \n",
"Lietuvos socialdemokrat\u0173 partija rus\u0173 54 \n",
" angl\u0173 43 \n",
" lenk\u0173 17 \n",
" vokie\u010di\u0173 10 \n",
" jokios 6 \n",
" lietuvi\u0173 5 \n",
" pranc\u016bz\u0173 5 \n",
" baltarus\u0173 2 \n",
" ukrainie\u010di\u0173 2 \n",
" ispan\u0173 1 \n",
" latvi\u0173 1 \n",
" libanie\u010di\u0173 1 \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga rus\u0173 31 \n",
" angl\u0173 29 \n",
" lenk\u0173 14 \n",
" vokie\u010di\u0173 12 \n",
" jokios 4 \n",
" baltarus\u0173 3 \n",
" pranc\u016bz\u0173 2 \n",
" esperanto 1 \n",
" ispan\u0173 1 \n",
" lietuvi\u0173 1 \n",
" lotyn\u0173 1 \n",
" serb\u0173 1 \n",
" ukrainie\u010di\u0173 1 \n",
"Lietuvos \u017eali\u0173j\u0173 partija rus\u0173 28 \n",
" angl\u0173 27 \n",
" lenk\u0173 9 \n",
" vokie\u010di\u0173 6 \n",
" ital\u0173 2 \n",
" ispan\u0173 1 \n",
" norveg\u0173 1 \n",
" pranc\u016bz\u0173 1 \n",
"Partija Tvarka ir teisingumas rus\u0173 69 \n",
" angl\u0173 56 \n",
" lenk\u0173 23 \n",
" vokie\u010di\u0173 20 \n",
" jokios 7 \n",
" pranc\u016bz\u0173 5 \n",
" lietuvi\u0173 4 \n",
" ital\u0173 3 \n",
" ispan\u0173 1 \n",
" lotyn\u0173 1 \n",
" ukrainie\u010di\u0173 1 \n",
"Politin\u0117 partija Rus\u0173 aljansas rus\u0173 9 \n",
" lenk\u0173 7 \n",
" jokios 6 \n",
" angl\u0173 4 \n",
" vokie\u010di\u0173 2 \n",
" baltarus\u0173 1 \n",
" pranc\u016bz\u0173 1 \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c rus\u0173 34 \n",
" angl\u0173 28 \n",
" vokie\u010di\u0173 8 \n",
" lenk\u0173 6 \n",
" jokios 5 \n",
" ital\u0173 1 \n",
" kroat\u0173 1 \n",
" lietuvi\u0173 1 \n",
" norveg\u0173 1 \n",
" pranc\u016bz\u0173 1 \n",
" serb\u0173 1 \n",
"Tautinink\u0173 s\u0105junga angl\u0173 23 \n",
" rus\u0173 23 \n",
" lenk\u0173 8 \n",
" vokie\u010di\u0173 7 \n",
" jokios 2 \n",
" lotyn\u0173 2 \n",
" pranc\u016bz\u0173 2 \n",
" ispan\u0173 1 \n",
" latvi\u0173 1 \n",
" ukrainie\u010di\u0173 1 \n",
" \u010dek\u0173 1 \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai rus\u0173 54 \n",
" angl\u0173 53 \n",
" vokie\u010di\u0173 17 \n",
" lenk\u0173 12 \n",
" pranc\u016bz\u0173 8 \n",
" jokios 7 \n",
" lietuvi\u0173 2 \n",
" esperanto 1 \n",
" ispan\u0173 1 \n",
" ital\u0173 1 \n",
" suomi\u0173 1 \n",
"\n",
" Procentas \n",
"Partija Kalba \n",
"Darbo partija rus\u0173 83.33% \n",
" angl\u0173 71.67% \n",
" lenk\u0173 36.67% \n",
" vokie\u010di\u0173 20.00% \n",
" jokios 15.00% \n",
" pranc\u016bz\u0173 11.67% \n",
" ispan\u0173 5.00% \n",
" lietuvi\u0173 5.00% \n",
" baltarus\u0173 3.33% \n",
" ukrainie\u010di\u0173 3.33% \n",
" bulgar\u0173 1.67% \n",
" kin\u0173 1.67% \n",
"Lenk\u0173 rinkim\u0173 akcijos ir Rus\u0173 aljanso koalicija \u201eValdemaro Toma\u0161evskio blokas\u201c (Vilniaus miesto savivaldyb\u0117) rus\u0173 81.19% \n",
" angl\u0173 42.57% \n",
" lenk\u0173 39.60% \n",
" vokie\u010di\u0173 16.83% \n",
" jokios 10.89% \n",
" lietuvi\u0173 1.98% \n",
" pranc\u016bz\u0173 1.98% \n",
" baltarus\u0173 0.99% \n",
" ispan\u0173 0.99% \n",
" portugal\u0173 0.99% \n",
" totori\u0173 0.99% \n",
" ukrainie\u010di\u0173 0.99% \n",
"Lietuvos Respublikos liberal\u0173 s\u0105j\u016bdis angl\u0173 90.77% \n",
" rus\u0173 83.08% \n",
" lenk\u0173 24.62% \n",
" vokie\u010di\u0173 23.08% \n",
" pranc\u016bz\u0173 9.23% \n",
" jokios 6.15% \n",
" lotyn\u0173 4.62% \n",
" ispan\u0173 3.08% \n",
" ital\u0173 3.08% \n",
" baltarus\u0173 1.54% \n",
" \u010dek\u0173 1.54% \n",
"Lietuvos laisv\u0117s s\u0105junga (liberalai) rus\u0173 85.00% \n",
" angl\u0173 77.00% \n",
" lenk\u0173 23.00% \n",
" vokie\u010di\u0173 15.00% \n",
" jokios 7.00% \n",
" pranc\u016bz\u0173 7.00% \n",
" ital\u0173 4.00% \n",
" ispan\u0173 3.00% \n",
" lietuvi\u0173 3.00% \n",
" lotyn\u0173 1.00% \n",
" turk\u0173 1.00% \n",
"Lietuvos lenk\u0173 rinkim\u0173 akcija baltarus\u0173 100.00% \n",
" lenk\u0173 100.00% \n",
" rus\u0173 100.00% \n",
" ukrainie\u010di\u0173 100.00% \n",
"Lietuvos liaudies partija rus\u0173 65.52% \n",
" angl\u0173 55.17% \n",
" jokios 24.14% \n",
" vokie\u010di\u0173 24.14% \n",
" lenk\u0173 20.69% \n",
" pranc\u016bz\u0173 3.45% \n",
"Lietuvos rus\u0173 s\u0105junga rus\u0173 70.00% \n",
" angl\u0173 37.50% \n",
" lenk\u0173 32.50% \n",
" jokios 25.00% \n",
" vokie\u010di\u0173 10.00% \n",
" baltarus\u0173 2.50% \n",
" latvi\u0173 2.50% \n",
"Lietuvos socialdemokrat\u0173 partija rus\u0173 87.10% \n",
" angl\u0173 69.35% \n",
" lenk\u0173 27.42% \n",
" vokie\u010di\u0173 16.13% \n",
" jokios 9.68% \n",
" lietuvi\u0173 8.06% \n",
" pranc\u016bz\u0173 8.06% \n",
" baltarus\u0173 3.23% \n",
" ukrainie\u010di\u0173 3.23% \n",
" ispan\u0173 1.61% \n",
" latvi\u0173 1.61% \n",
" libanie\u010di\u0173 1.61% \n",
"Lietuvos valstie\u010di\u0173 ir \u017eali\u0173j\u0173 s\u0105junga rus\u0173 77.50% \n",
" angl\u0173 72.50% \n",
" lenk\u0173 35.00% \n",
" vokie\u010di\u0173 30.00% \n",
" jokios 10.00% \n",
" baltarus\u0173 7.50% \n",
" pranc\u016bz\u0173 5.00% \n",
" esperanto 2.50% \n",
" ispan\u0173 2.50% \n",
" lietuvi\u0173 2.50% \n",
" lotyn\u0173 2.50% \n",
" serb\u0173 2.50% \n",
" ukrainie\u010di\u0173 2.50% \n",
"Lietuvos \u017eali\u0173j\u0173 partija rus\u0173 90.32% \n",
" angl\u0173 87.10% \n",
" lenk\u0173 29.03% \n",
" vokie\u010di\u0173 19.35% \n",
" ital\u0173 6.45% \n",
" ispan\u0173 3.23% \n",
" norveg\u0173 3.23% \n",
" pranc\u016bz\u0173 3.23% \n",
"Partija Tvarka ir teisingumas rus\u0173 86.25% \n",
" angl\u0173 70.00% \n",
" lenk\u0173 28.75% \n",
" vokie\u010di\u0173 25.00% \n",
" jokios 8.75% \n",
" pranc\u016bz\u0173 6.25% \n",
" lietuvi\u0173 5.00% \n",
" ital\u0173 3.75% \n",
" ispan\u0173 1.25% \n",
" lotyn\u0173 1.25% \n",
" ukrainie\u010di\u0173 1.25% \n",
"Politin\u0117 partija Rus\u0173 aljansas rus\u0173 60.00% \n",
" lenk\u0173 46.67% \n",
" jokios 40.00% \n",
" angl\u0173 26.67% \n",
" vokie\u010di\u0173 13.33% \n",
" baltarus\u0173 6.67% \n",
" pranc\u016bz\u0173 6.67% \n",
"Politin\u0117 partija \u201eLietuvos s\u0105ra\u0161as\u201c rus\u0173 87.18% \n",
" angl\u0173 71.79% \n",
" vokie\u010di\u0173 20.51% \n",
" lenk\u0173 15.38% \n",
" jokios 12.82% \n",
" ital\u0173 2.56% \n",
" kroat\u0173 2.56% \n",
" lietuvi\u0173 2.56% \n",
" norveg\u0173 2.56% \n",
" pranc\u016bz\u0173 2.56% \n",
" serb\u0173 2.56% \n",
"Tautinink\u0173 s\u0105junga angl\u0173 82.14% \n",
" rus\u0173 82.14% \n",
" lenk\u0173 28.57% \n",
" vokie\u010di\u0173 25.00% \n",
" jokios 7.14% \n",
" lotyn\u0173 7.14% \n",
" pranc\u016bz\u0173 7.14% \n",
" ispan\u0173 3.57% \n",
" latvi\u0173 3.57% \n",
" ukrainie\u010di\u0173 3.57% \n",
" \u010dek\u0173 3.57% \n",
"T\u0117vyn\u0117s s\u0105junga - Lietuvos krik\u0161\u010dionys demokratai rus\u0173 75.00% \n",
" angl\u0173 73.61% \n",
" vokie\u010di\u0173 23.61% \n",
" lenk\u0173 16.67% \n",
" pranc\u016bz\u0173 11.11% \n",
" jokios 9.72% \n",
" lietuvi\u0173 2.78% \n",
" esperanto 1.39% \n",
" ispan\u0173 1.39% \n",
" ital\u0173 1.39% \n",
" suomi\u0173 1.39% "
]
}
],
"prompt_number": 17
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment