{
"metadata": {
"name": "",
"signature": "sha256:2d03da202e9e4151fc48af76f17b1094dbc2f6c4b7e8bcb914a642c435788290"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# LegCoHK\n",
"\n",
"Author: [Pili Hu](http://hupili.net/)\n",
"\n",
"GitHub repo: https://github.com/hupili/legcohk\n",
"\n",
"Related notebooks:\n",
"\n",
" * PCA for [ENGG4030](https://course.ie.cuhk.edu.hk/~engg4030/): http://bit.ly/1riabfV\n",
" * Recommender System for [ENGG4030](https://course.ie.cuhk.edu.hk/~engg4030/): http://bit.ly/QwNvLZ\n",
" * Graph Analysis for [ENGG4030](https://course.ie.cuhk.edu.hk/~engg4030/): http://bit.ly/1mxjuqu\n",
" \n",
"Compared with the above notebooks, \n",
"this repo contains more compact notes covering the whole data mining flow --\n",
"from data collection to final visualization.\n",
"Interpretations will note be provided in the notes directly.\n",
"If you have interest, you can dump your thoughts on the [issue tracker](https://github.com/hupili/legcohk/issues).\n",
"You can also request other features there."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preparation"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import requests\n",
"import pylab as pl\n",
"from pyquery import PyQuery as pq\n",
"import numpy as np\n",
"import matplotlib\n",
"from matplotlib import pyplot as plt\n",
"import scipy\n",
"import pandas as pd\n",
"from lxml import etree\n",
"from functools import reduce"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"matplotlib.rc('font', **{'sans-serif' : 'Helvetica, LiHei Pro, sans-serif', #'Arial',\n",
" 'family' : 'sans-serif'})\n",
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"seed_pages = [\n",
" 'http://www.legco.gov.hk/general/english/counmtg/yr12-16/mtg_1213.htm',\n",
" 'http://www.legco.gov.hk/general/english/counmtg/yr12-16/mtg_1314.htm',\n",
" 'http://www.legco.gov.hk/general/english/counmtg/yr12-16/mtg_1415.htm'\n",
"]\n",
"def crawl_seed(seed):\n",
" d = pq(seed)\n",
" return d('a').map(lambda i, a: a.attrib.get('name', None)).filter(lambda i, s: s.startswith('cm20'))\n",
"meetings = reduce(list.__add__, map(crawl_seed, seed_pages), [])\n",
"print(meetings)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"['cm20121010', 'cm20121017', 'cm20121024', 'cm20121031', 'cm20121101', 'cm20121107', 'cm20121114', 'cm20121121', 'cm20121128', 'cm20121205', 'cm20121210', 'cm20121212', 'cm20121219', 'cm20130109', 'cm20130116', 'cm20130117', 'cm20130123', 'cm20130130', 'cm20130206', 'cm20130220', 'cm20130227', 'cm20130320', 'cm20130327', 'cm20130417', 'cm20130424', 'cm20130508', 'cm20130509', 'cm20130515', 'cm20130522', 'cm20130529', 'cm20130605', 'cm20130619', 'cm20130626', 'cm20130703', 'cm20130710', 'cm20130711', 'cm20130717', 'cm20131009', 'cm20131016', 'cm20131017', 'cm20131023', 'cm20131030', 'cm20131106', 'cm20131113', 'cm20131120', 'cm20131127', 'cm20131204', 'cm20131211', 'cm20131218', 'cm20140108', 'cm20140115', 'cm20140116', 'cm20140122', 'cm20140212', 'cm20140219', 'cm20140226', 'cm20140319', 'cm20140326', 'cm20140409', 'cm20140416', 'cm20140430', 'cm20140507', 'cm20140514', 'cm20140521', 'cm20140522', 'cm20140528', 'cm20140604', 'cm20140611', 'cm20140618', 'cm20140625', 'cm20140702', 'cm20140703', 'cm20140709', 'cm20141008', 'cm20141015', 'cm20141016', 'cm20141022', 'cm20141029', 'cm20141105', 'cm20141112', 'cm20141120', 'cm20141126', 'cm20141203', 'cm20141210', 'cm20141217', 'cm20150107', 'cm20150114', 'cm20150115', 'cm20150121', 'cm20150128', 'cm20150204', 'cm20150211', 'cm20150225', 'cm20150318', 'cm20150325', 'cm20150326', 'cm20150415', 'cm20150422', 'cm20150429', 'cm20150506', 'cm20150513', 'cm20150520', 'cm20150527', 'cm20150603', 'cm20150610', 'cm20150617', 'cm20150624', 'cm20150708']\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from IPython.core.display import clear_output\n",
"import sys\n",
"\n",
"def crawl_xml(meeting):\n",
" # This logic is translated from the official JS code\n",
" yy, mm, dd = map(lambda i: int(meeting[i:(i + 2)]), [4, 6, 8])\n",
" if mm >= 10:\n",
" yr = 'yr%02d-%02d' % (yy, yy + 1)\n",
" else:\n",
" yr = 'yr%02d-%02d' % (yy - 1, yy)\n",
" prefix = 'http://www.legco.gov.hk'\n",
" url = '%(prefix)s/%(yr)s/chinese/counmtg/voting/cm_vote_20%(yy)02d%(mm)02d%(dd)02d.xml' % locals()\n",
" return requests.get(url)\n",
"\n",
"vote_xmls = []\n",
"for m in meetings:\n",
" vote_xmls.append(crawl_xml(m))\n",
" clear_output()\n",
" print('progress: %s/%s %s' % (len(vote_xmls), len(meetings), '#' * len(vote_xmls)))\n",
" sys.stdout.flush()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"progress: 108/108 ############################################################################################################\n"
]
}
],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"vote_xmls = list(filter(lambda r: r.ok, vote_xmls))\n",
"vote_xmls = list(map(lambda r: r.content, vote_xmls))\n",
"print(len(vote_xmls))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"69\n"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Information fields, useful for reviewing the result\n",
"info_fields = ['vote-date', 'vote-time', 'motion-en', 'mover-en', 'mover-type', 'vote-separate-mechanism']\n",
"def xml_to_records(xml):\n",
" doc = etree.XML(xml)\n",
" records = []\n",
" for topic in doc.xpath('//legcohk-vote/meeting/vote'):\n",
" info = [topic.xpath(f)[0].text for f in info_fields]\n",
" date = info[0]\n",
" topic_id = '%s-%s' % (date, topic.attrib['number'])\n",
" for member in topic.xpath('individual-votes/member'):\n",
" #member_id = member.attrib['name-en'] # Use English name as ID for sipmlicity\n",
" member_id = member.attrib['name-ch'] # Use Chinese for a local blog post\n",
" vote = member.xpath('vote')[0].text\n",
" records.append((topic_id, member_id, vote) + tuple(info))\n",
" return records\n",
"\n",
"records = reduce(list.__add__, map(xml_to_records, vote_xmls), [])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"rec_guo_1 = [(r[0], r[1]) for r in records if r[1] == '\u90ed\u5049\u5f37']\n",
"rec_guo_2 = [(r[0], r[1]) for r in records if r[1] == '\u90ed\u5049\u5f3a']\n",
"# According to the number of votes, those seem to be the same person\n",
"print(len(rec_guo_1))\n",
"print(len(rec_guo_2))\n",
"print(len(rec_guo_1) + len(rec_guo_2))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"-c:1: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal\n",
"-c:2: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal\n"
]
},
{
"output_type": "stream",
"stream": "stdout",
"text": [
"0\n",
"0\n",
"0\n"
]
}
],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# More:\n",
"# http://nbviewer.ipython.org/urls/course.ie.cuhk.edu.hk/~engg4030/tutorial/tutorial7/Legco-Preprocessing.ipynb\n",
"NAME_FIX = {\n",
" 'Dr Joseph LEE': 'Prof Joseph LEE',\n",
" '\u90ed\u5049\u5f3a': '\u90ed\u5049\u5f37'\n",
"}\n",
"\n",
"def clean_record(t):\n",
" # According to the numbers, they seem to be the same person\n",
" t = list(t)\n",
" t[1] = NAME_FIX.get(t[1], t[1])\n",
" # Other normalization if any\n",
" # ...\n",
" return tuple(t)\n",
"records = list(map(clean_record, records))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df = pd.DataFrame(data=records, columns=['topic_id', 'member_id', 'vote'] + info_fields)\n",
"df.to_csv('records-all-with-info.csv', encoding='utf-8')\n",
"df[:5]"
],
"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>topic_id</th>\n",
" <th>member_id</th>\n",
" <th>vote</th>\n",
" <th>vote-date</th>\n",
" <th>vote-time</th>\n",
" <th>motion-en</th>\n",
" <th>mover-en</th>\n",
" <th>mover-type</th>\n",
" <th>vote-separate-mechanism</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u66fe\u923a\u6210</td>\n",
" <td> Present</td>\n",
" <td> 17/10/2012</td>\n",
" <td> 19:37:53</td>\n",
" <td> AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN...</td>\n",
" <td> Dr Kenneth CHAN</td>\n",
" <td> Member</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u4f55\u4fca\u4ec1</td>\n",
" <td> Yes</td>\n",
" <td> 17/10/2012</td>\n",
" <td> 19:37:53</td>\n",
" <td> AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN...</td>\n",
" <td> Dr Kenneth CHAN</td>\n",
" <td> Member</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u674e\u5353\u4eba</td>\n",
" <td> Yes</td>\n",
" <td> 17/10/2012</td>\n",
" <td> 19:37:53</td>\n",
" <td> AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN...</td>\n",
" <td> Dr Kenneth CHAN</td>\n",
" <td> Member</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u6d82\u8b39\u7533</td>\n",
" <td> Yes</td>\n",
" <td> 17/10/2012</td>\n",
" <td> 19:37:53</td>\n",
" <td> AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN...</td>\n",
" <td> Dr Kenneth CHAN</td>\n",
" <td> Member</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u9673\u9451\u6797</td>\n",
" <td> No</td>\n",
" <td> 17/10/2012</td>\n",
" <td> 19:37:53</td>\n",
" <td> AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN...</td>\n",
" <td> Dr Kenneth CHAN</td>\n",
" <td> Member</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 9,
"text": [
" topic_id member_id vote vote-date vote-time \\\n",
"0 17/10/2012-1 \u66fe\u923a\u6210 Present 17/10/2012 19:37:53 \n",
"1 17/10/2012-1 \u4f55\u4fca\u4ec1 Yes 17/10/2012 19:37:53 \n",
"2 17/10/2012-1 \u674e\u5353\u4eba Yes 17/10/2012 19:37:53 \n",
"3 17/10/2012-1 \u6d82\u8b39\u7533 Yes 17/10/2012 19:37:53 \n",
"4 17/10/2012-1 \u9673\u9451\u6797 No 17/10/2012 19:37:53 \n",
"\n",
" motion-en mover-en \\\n",
"0 AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN... Dr Kenneth CHAN \n",
"1 AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN... Dr Kenneth CHAN \n",
"2 AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN... Dr Kenneth CHAN \n",
"3 AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN... Dr Kenneth CHAN \n",
"4 AMENDMENT BY DR HON KENNETH CHAN TO HON IP KIN... Dr Kenneth CHAN \n",
"\n",
" mover-type vote-separate-mechanism \n",
"0 Member Yes \n",
"1 Member Yes \n",
"2 Member Yes \n",
"3 Member Yes \n",
"4 Member Yes "
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df = df[['topic_id', 'member_id', 'vote']]\n",
"df.to_csv('records-all.csv', encoding='utf-8')\n",
"df[:5]"
],
"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>topic_id</th>\n",
" <th>member_id</th>\n",
" <th>vote</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u66fe\u923a\u6210</td>\n",
" <td> Present</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u4f55\u4fca\u4ec1</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u674e\u5353\u4eba</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u6d82\u8b39\u7533</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> 17/10/2012-1</td>\n",
" <td> \u9673\u9451\u6797</td>\n",
" <td> No</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 10,
"text": [
" topic_id member_id vote\n",
"0 17/10/2012-1 \u66fe\u923a\u6210 Present\n",
"1 17/10/2012-1 \u4f55\u4fca\u4ec1 Yes\n",
"2 17/10/2012-1 \u674e\u5353\u4eba Yes\n",
"3 17/10/2012-1 \u6d82\u8b39\u7533 Yes\n",
"4 17/10/2012-1 \u9673\u9451\u6797 No"
]
}
],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Let's play"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print('total # of topics:', len(df['topic_id'].unique()))\n",
"print('total # of members:',len(df['member_id'].unique()))\n",
"print('total # of records:', len(df))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"('total # of topics:', 2310)\n",
"('total # of members:', 71)\n",
"('total # of records:', 161700)\n"
]
}
],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print(df['vote'].unique())"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"['Present' 'Yes' 'No' 'Absent' 'Abstain']\n"
]
}
],
"prompt_number": 12
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print(df['member_id'].unique())"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"[u'\\u66fe\\u923a\\u6210' u'\\u4f55\\u4fca\\u4ec1' u'\\u674e\\u5353\\u4eba'\n",
" u'\\u6d82\\u8b39\\u7533' u'\\u9673\\u9451\\u6797' u'\\u6881\\u8000\\u5fe0'\n",
" u'\\u5289\\u7687\\u767c' u'\\u5289\\u6167\\u537f' u'\\u8b5a\\u8000\\u5b97'\n",
" u'\\u77f3\\u79ae\\u8b19' u'\\u5f35\\u5b87\\u4eba' u'\\u99ae\\u6aa2\\u57fa'\n",
" u'\\u65b9\\u525b' u'\\u738b\\u570b\\u8208' u'\\u674e\\u570b\\u9e9f'\n",
" u'\\u6797\\u5065\\u92d2' u'\\u6881\\u541b\\u5f65' u'\\u9ec3\\u5b9a\\u5149'\n",
" u'\\u6e6f\\u5bb6\\u9a4a' u'\\u4f55\\u79c0\\u862d' u'\\u674e\\u6167\\u743c'\n",
" u'\\u6797\\u5927\\u8f1d' u'\\u9673\\u514b\\u52e4' u'\\u9673\\u5065\\u6ce2'\n",
" u'\\u6881\\u7f8e\\u82ac' u'\\u6881\\u5bb6\\u9a2e' u'\\u5f35\\u570b\\u67f1'\n",
" u'\\u9ec3\\u570b\\u5065' u'\\u8449\\u570b\\u8b19' u'\\u8449\\u5289\\u6dd1\\u5100'\n",
" u'\\u8b1d\\u5049\\u4fca' u'\\u6881\\u5bb6\\u5091' u'\\u6881\\u570b\\u96c4'\n",
" u'\\u9673\\u5049\\u696d' u'\\u9ec3\\u6bd3\\u6c11' u'\\u6bdb\\u5b5f\\u975c'\n",
" u'\\u7530\\u5317\\u8fb0' u'\\u7530\\u5317\\u4fca' u'\\u5433\\u4eae\\u661f'\n",
" u'\\u4f55\\u4fca\\u8ce2' u'\\u6613\\u5fd7\\u660e' u'\\u80e1\\u5fd7\\u5049'\n",
" u'\\u59da\\u601d\\u69ae' u'\\u8303\\u570b\\u5a01' u'\\u99ac\\u9022\\u570b'\n",
" u'\\u83ab\\u4e43\\u5149' u'\\u9673\\u5fd7\\u5168' u'\\u9673\\u6052\\u944c'\n",
" u'\\u9673\\u5bb6\\u6d1b' u'\\u9673\\u5a49\\u5afb' u'\\u6881\\u5fd7\\u7965'\n",
" u'\\u6881\\u7e7c\\u660c' u'\\u9ea5\\u7f8e\\u5a1f' u'\\u90ed\\u5bb6\\u9e92'\n",
" u'\\u90ed\\u5049\\u5f37' u'\\u90ed\\u69ae\\u93d7' u'\\u5f35\\u83ef\\u5cf0'\n",
" u'\\u5f35\\u8d85\\u96c4' u'\\u55ae\\u4ef2\\u5055' u'\\u9ec3\\u78a7\\u96f2'\n",
" u'\\u8449\\u5efa\\u6e90' u'\\u845b\\u73ee\\u5e06' u'\\u5ed6\\u9577\\u6c5f'\n",
" u'\\u6f58\\u5146\\u5e73' u'\\u9127\\u5bb6\\u5f6a' u'\\u8523\\u9e97\\u82b8'\n",
" u'\\u76e7\\u5049\\u570b' u'\\u937e\\u570b\\u658c' u'\\u937e\\u6a39\\u6839'\n",
" u'\\u8b1d\\u5049\\u9293' u'\\u90ed\\u5049\\u5f3a']\n"
]
}
],
"prompt_number": 13
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print(df['topic_id'].unique())"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"['17/10/2012-1' '17/10/2012-2' '17/10/2012-3' ..., '13/02/2015-7'\n",
" '13/02/2015-8' '13/02/2015-9']\n"
]
}
],
"prompt_number": 14
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df[df['member_id'] == '\u66fe\u923a\u6210']['vote'].value_counts()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stderr",
"text": [
"/usr/local/lib/python2.7/site-packages/pandas/core/ops.py:558: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal\n",
" result = lib.scalar_compare(x, y, op)\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 15,
"text": [
"Series([], dtype: int64)"
]
}
],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# A leader board of voting types\n",
"board_pos = pd.DataFrame(index=range(0,5))\n",
"for v in df['vote'].unique():\n",
" count = df[df['vote']==v].groupby('member_id').count().sort('vote', ascending=False)['vote']\n",
" count = count.reset_index()[:5]\n",
" board_pos[v] = pd.Series(zip(count['member_id'], count['vote']), index=range(0,5))\n",
"board_pos"
],
"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>Present</th>\n",
" <th>Yes</th>\n",
" <th>No</th>\n",
" <th>Absent</th>\n",
" <th>Abstain</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> (\u66fe\u923a\u6210, 2284)</td>\n",
" <td> (\u6881\u570b\u96c4, 1682)</td>\n",
" <td> (\u76e7\u5049\u570b, 1919)</td>\n",
" <td> (\u6881\u5bb6\u9a2e, 2007)</td>\n",
" <td> (\u8303\u570b\u5a01, 426)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> (\u5f35\u570b\u67f1, 794)</td>\n",
" <td> (\u9673\u5049\u696d, 1342)</td>\n",
" <td> (\u8b5a\u8000\u5b97, 1861)</td>\n",
" <td> (\u6881\u8000\u5fe0, 1881)</td>\n",
" <td> (\u99ac\u9022\u570b, 121)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> (\u5289\u6167\u537f, 718)</td>\n",
" <td> (\u9673\u5fd7\u5168, 1331)</td>\n",
" <td> (\u4f55\u4fca\u8ce2, 1861)</td>\n",
" <td> (\u6e6f\u5bb6\u9a4a, 1881)</td>\n",
" <td> (\u674e\u570b\u9e9f, 115)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> (\u4f55\u79c0\u862d, 708)</td>\n",
" <td> (\u83ab\u4e43\u5149, 453)</td>\n",
" <td> (\u9ec3\u5b9a\u5149, 1851)</td>\n",
" <td> (\u6d82\u8b39\u7533, 1822)</td>\n",
" <td> (\u8449\u570b\u8b19, 112)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> (\u55ae\u4ef2\u5055, 702)</td>\n",
" <td> (\u9ec3\u6bd3\u6c11, 411)</td>\n",
" <td> (\u5f35\u83ef\u5cf0, 1807)</td>\n",
" <td> (\u8449\u5efa\u6e90, 1813)</td>\n",
" <td> (\u4f55\u4fca\u8ce2, 110)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 16,
"text": [
" Present Yes No Absent Abstain\n",
"0 (\u66fe\u923a\u6210, 2284) (\u6881\u570b\u96c4, 1682) (\u76e7\u5049\u570b, 1919) (\u6881\u5bb6\u9a2e, 2007) (\u8303\u570b\u5a01, 426)\n",
"1 (\u5f35\u570b\u67f1, 794) (\u9673\u5049\u696d, 1342) (\u8b5a\u8000\u5b97, 1861) (\u6881\u8000\u5fe0, 1881) (\u99ac\u9022\u570b, 121)\n",
"2 (\u5289\u6167\u537f, 718) (\u9673\u5fd7\u5168, 1331) (\u4f55\u4fca\u8ce2, 1861) (\u6e6f\u5bb6\u9a4a, 1881) (\u674e\u570b\u9e9f, 115)\n",
"3 (\u4f55\u79c0\u862d, 708) (\u83ab\u4e43\u5149, 453) (\u9ec3\u5b9a\u5149, 1851) (\u6d82\u8b39\u7533, 1822) (\u8449\u570b\u8b19, 112)\n",
"4 (\u55ae\u4ef2\u5055, 702) (\u9ec3\u6bd3\u6c11, 411) (\u5f35\u83ef\u5cf0, 1807) (\u8449\u5efa\u6e90, 1813) (\u4f55\u4fca\u8ce2, 110)"
]
}
],
"prompt_number": 16
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"board_neg = pd.DataFrame(index=range(0,5))\n",
"for v in df['vote'].unique():\n",
" count = df[df['vote']==v].groupby('member_id').count().sort('vote', ascending=True)['vote']\n",
" count = count.reset_index()[:5]\n",
" board_neg[v] = pd.Series(zip(count['member_id'], count['vote']), index=range(0,5))\n",
"board_neg"
],
"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>Present</th>\n",
" <th>Yes</th>\n",
" <th>No</th>\n",
" <th>Absent</th>\n",
" <th>Abstain</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td> (\u8449\u570b\u8b19, 1)</td>\n",
" <td> (\u77f3\u79ae\u8b19, 95)</td>\n",
" <td> (\u6d82\u8b39\u7533, 64)</td>\n",
" <td> (\u66fe\u923a\u6210, 26)</td>\n",
" <td> (\u90ed\u69ae\u93d7, 13)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td> (\u6881\u8000\u5fe0, 1)</td>\n",
" <td> (\u5289\u7687\u767c, 106)</td>\n",
" <td> (\u6e6f\u5bb6\u9a4a, 67)</td>\n",
" <td> (\u6f58\u5146\u5e73, 32)</td>\n",
" <td> (\u65b9\u525b, 13)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td> (\u7530\u5317\u4fca, 1)</td>\n",
" <td> (\u6881\u5bb6\u9a2e, 129)</td>\n",
" <td> (\u99ae\u6aa2\u57fa, 70)</td>\n",
" <td> (\u8b5a\u8000\u5b97, 50)</td>\n",
" <td> (\u90ed\u5049\u5f3a, 14)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td> (\u5433\u4eae\u661f, 1)</td>\n",
" <td> (\u90ed\u5049\u5f37, 131)</td>\n",
" <td> (\u4f55\u4fca\u4ec1, 71)</td>\n",
" <td> (\u90ed\u5049\u5f37, 50)</td>\n",
" <td> (\u5289\u7687\u767c, 15)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td> (\u9673\u5fd7\u5168, 1)</td>\n",
" <td> (\u6797\u5927\u8f1d, 132)</td>\n",
" <td> (\u8449\u5efa\u6e90, 72)</td>\n",
" <td> (\u4f55\u4fca\u8ce2, 53)</td>\n",
" <td> (\u99ae\u6aa2\u57fa, 16)</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 17,
"text": [
" Present Yes No Absent Abstain\n",
"0 (\u8449\u570b\u8b19, 1) (\u77f3\u79ae\u8b19, 95) (\u6d82\u8b39\u7533, 64) (\u66fe\u923a\u6210, 26) (\u90ed\u69ae\u93d7, 13)\n",
"1 (\u6881\u8000\u5fe0, 1) (\u5289\u7687\u767c, 106) (\u6e6f\u5bb6\u9a4a, 67) (\u6f58\u5146\u5e73, 32) (\u65b9\u525b, 13)\n",
"2 (\u7530\u5317\u4fca, 1) (\u6881\u5bb6\u9a2e, 129) (\u99ae\u6aa2\u57fa, 70) (\u8b5a\u8000\u5b97, 50) (\u90ed\u5049\u5f3a, 14)\n",
"3 (\u5433\u4eae\u661f, 1) (\u90ed\u5049\u5f37, 131) (\u4f55\u4fca\u4ec1, 71) (\u90ed\u5049\u5f37, 50) (\u5289\u7687\u767c, 15)\n",
"4 (\u9673\u5fd7\u5168, 1) (\u6797\u5927\u8f1d, 132) (\u8449\u5efa\u6e90, 72) (\u4f55\u4fca\u8ce2, 53) (\u99ae\u6aa2\u57fa, 16)"
]
}
],
"prompt_number": 17
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"df_matrix = pd.DataFrame(index=df['member_id'].unique())\n",
"for gn, g in df.groupby('topic_id'):\n",
" df_matrix[gn] = g.set_index('member_id')['vote']\n",
"df_matrix[:5]"
],
"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>01/02/2013-1</th>\n",
" <th>01/02/2013-2</th>\n",
" <th>01/02/2013-3</th>\n",
" <th>01/02/2013-4</th>\n",
" <th>01/02/2013-5</th>\n",
" <th>01/02/2013-6</th>\n",
" <th>01/02/2013-7</th>\n",
" <th>01/02/2013-8</th>\n",
" <th>03/07/2013-1</th>\n",
" <th>03/07/2013-10</th>\n",
" <th>...</th>\n",
" <th>31/10/2012-2</th>\n",
" <th>31/10/2012-3</th>\n",
" <th>31/10/2012-4</th>\n",
" <th>31/10/2012-5</th>\n",
" <th>31/10/2012-6</th>\n",
" <th>31/10/2012-7</th>\n",
" <th>31/10/2012-8</th>\n",
" <th>31/10/2012-9</th>\n",
" <th>31/10/2014-38</th>\n",
" <th>31/10/2014-39</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\u66fe\u923a\u6210</th>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td>...</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" <td> Present</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u4f55\u4fca\u4ec1</th>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td>...</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u674e\u5353\u4eba</th>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td>...</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u6d82\u8b39\u7533</th>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td>...</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Yes</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Absent</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u9673\u9451\u6797</th>\n",
" <td> No</td>\n",
" <td> No</td>\n",
" <td> No</td>\n",
" <td> No</td>\n",
" <td> Abstain</td>\n",
" <td> No</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" <td> No</td>\n",
" <td> Abstain</td>\n",
" <td>...</td>\n",
" <td> Abstain</td>\n",
" <td> Abstain</td>\n",
" <td> Abstain</td>\n",
" <td> Abstain</td>\n",
" <td> Abstain</td>\n",
" <td> Abstain</td>\n",
" <td> Yes</td>\n",
" <td> Abstain</td>\n",
" <td> No</td>\n",
" <td> Yes</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows \u00d7 2310 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 18,
"text": [
" 01/02/2013-1 01/02/2013-2 01/02/2013-3 01/02/2013-4 01/02/2013-5 \\\n",
"\u66fe\u923a\u6210 Present Present Present Present Present \n",
"\u4f55\u4fca\u4ec1 Yes Yes Yes Yes No \n",
"\u674e\u5353\u4eba Yes Yes Yes Yes Yes \n",
"\u6d82\u8b39\u7533 Yes Yes Yes Yes No \n",
"\u9673\u9451\u6797 No No No No Abstain \n",
"\n",
" 01/02/2013-6 01/02/2013-7 01/02/2013-8 03/07/2013-1 03/07/2013-10 \\\n",
"\u66fe\u923a\u6210 Present Present Present Present Present \n",
"\u4f55\u4fca\u4ec1 Yes Yes No Yes Yes \n",
"\u674e\u5353\u4eba Yes Yes No Yes Yes \n",
"\u6d82\u8b39\u7533 Yes Yes No Yes Yes \n",
"\u9673\u9451\u6797 No No Yes No Abstain \n",
"\n",
" ... 31/10/2012-2 31/10/2012-3 31/10/2012-4 31/10/2012-5 \\\n",
"\u66fe\u923a\u6210 ... Present Present Present Present \n",
"\u4f55\u4fca\u4ec1 ... Yes Yes Yes Yes \n",
"\u674e\u5353\u4eba ... Absent Absent Absent Absent \n",
"\u6d82\u8b39\u7533 ... Yes Yes Yes Absent \n",
"\u9673\u9451\u6797 ... Abstain Abstain Abstain Abstain \n",
"\n",
" 31/10/2012-6 31/10/2012-7 31/10/2012-8 31/10/2012-9 31/10/2014-38 \\\n",
"\u66fe\u923a\u6210 Present Present Present Present Present \n",
"\u4f55\u4fca\u4ec1 Yes Yes No No Yes \n",
"\u674e\u5353\u4eba Absent Absent Absent Absent Yes \n",
"\u6d82\u8b39\u7533 Absent Absent Absent Absent Yes \n",
"\u9673\u9451\u6797 Abstain Abstain Yes Abstain No \n",
"\n",
" 31/10/2014-39 \n",
"\u66fe\u923a\u6210 Present \n",
"\u4f55\u4fca\u4ec1 No \n",
"\u674e\u5353\u4eba No \n",
"\u6d82\u8b39\u7533 No \n",
"\u9673\u9451\u6797 Yes \n",
"\n",
"[5 rows x 2310 columns]"
]
}
],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def to_numeric(x):\n",
" x[(x != 'Yes') & (x != 'No')] = 0\n",
" x[x == 'Yes'] = 1\n",
" x[x == 'No'] = -1\n",
"df_matrix.apply(to_numeric)\n",
"df_matrix[:5]"
],
"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>01/02/2013-1</th>\n",
" <th>01/02/2013-2</th>\n",
" <th>01/02/2013-3</th>\n",
" <th>01/02/2013-4</th>\n",
" <th>01/02/2013-5</th>\n",
" <th>01/02/2013-6</th>\n",
" <th>01/02/2013-7</th>\n",
" <th>01/02/2013-8</th>\n",
" <th>03/07/2013-1</th>\n",
" <th>03/07/2013-10</th>\n",
" <th>...</th>\n",
" <th>31/10/2012-2</th>\n",
" <th>31/10/2012-3</th>\n",
" <th>31/10/2012-4</th>\n",
" <th>31/10/2012-5</th>\n",
" <th>31/10/2012-6</th>\n",
" <th>31/10/2012-7</th>\n",
" <th>31/10/2012-8</th>\n",
" <th>31/10/2012-9</th>\n",
" <th>31/10/2014-38</th>\n",
" <th>31/10/2014-39</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>\u66fe\u923a\u6210</th>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u4f55\u4fca\u4ec1</th>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td>...</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u674e\u5353\u4eba</th>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u6d82\u8b39\u7533</th>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td>...</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>\u9673\u9451\u6797</th>\n",
" <td> -1</td>\n",
" <td> -1</td>\n",
" <td> -1</td>\n",
" <td> -1</td>\n",
" <td> 0</td>\n",
" <td> -1</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" <td> -1</td>\n",
" <td> 0</td>\n",
" <td>...</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 0</td>\n",
" <td> 1</td>\n",
" <td> 0</td>\n",
" <td> -1</td>\n",
" <td> 1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows \u00d7 2310 columns</p>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 19,
"text": [
" 01/02/2013-1 01/02/2013-2 01/02/2013-3 01/02/2013-4 01/02/2013-5 \\\n",
"\u66fe\u923a\u6210 0 0 0 0 0 \n",
"\u4f55\u4fca\u4ec1 1 1 1 1 -1 \n",
"\u674e\u5353\u4eba 1 1 1 1 1 \n",
"\u6d82\u8b39\u7533 1 1 1 1 -1 \n",
"\u9673\u9451\u6797 -1 -1 -1 -1 0 \n",
"\n",
" 01/02/2013-6 01/02/2013-7 01/02/2013-8 03/07/2013-1 03/07/2013-10 \\\n",
"\u66fe\u923a\u6210 0 0 0 0 0 \n",
"\u4f55\u4fca\u4ec1 1 1 -1 1 1 \n",
"\u674e\u5353\u4eba 1 1 -1 1 1 \n",
"\u6d82\u8b39\u7533 1 1 -1 1 1 \n",
"\u9673\u9451\u6797 -1 -1 1 -1 0 \n",
"\n",
" ... 31/10/2012-2 31/10/2012-3 31/10/2012-4 31/10/2012-5 \\\n",
"\u66fe\u923a\u6210 ... 0 0 0 0 \n",
"\u4f55\u4fca\u4ec1 ... 1 1 1 1 \n",
"\u674e\u5353\u4eba ... 0 0 0 0 \n",
"\u6d82\u8b39\u7533 ... 1 1 1 0 \n",
"\u9673\u9451\u6797 ... 0 0 0 0 \n",
"\n",
" 31/10/2012-6 31/10/2012-7 31/10/2012-8 31/10/2012-9 31/10/2014-38 \\\n",
"\u66fe\u923a\u6210 0 0 0 0 0 \n",
"\u4f55\u4fca\u4ec1 1 1 -1 -1 1 \n",
"\u674e\u5353\u4eba 0 0 0 0 1 \n",
"\u6d82\u8b39\u7533 0 0 0 0 1 \n",
"\u9673\u9451\u6797 0 0 1 0 -1 \n",
"\n",
" 31/10/2014-39 \n",
"\u66fe\u923a\u6210 0 \n",
"\u4f55\u4fca\u4ec1 -1 \n",
"\u674e\u5353\u4eba -1 \n",
"\u6d82\u8b39\u7533 -1 \n",
"\u9673\u9451\u6797 1 \n",
"\n",
"[5 rows x 2310 columns]"
]
}
],
"prompt_number": 19
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"X = np.matrix(df_matrix.as_matrix()).astype('float')\n",
"X = X - np.mean(X, 0)\n",
"C = X.T * X\n",
"print(C.shape)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"(2310, 2310)\n"
]
}
],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import scipy.sparse.linalg\n",
"PA = scipy.sparse.linalg.eigs(C, k=2, which='LM', return_eigenvectors=True)[1]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 21
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Use the following one to pop up the 3D plot in another window.\n",
"# Good for interactive exploration.\n",
"# May or may not be available due to your desktop.\n",
"#%pylab \n",
"#matplotlib.use('TkAgg') \n",
"# Use the following one to plot inline (embedded in this notebook).\n",
"#%pylab inline\n",
"\n",
"\n",
"# Try 3D\n",
"PA = scipy.sparse.linalg.eigs(C, k=3, which='LM', return_eigenvectors=True)[1]\n",
"# Project data points onto principle axis\n",
"X_3D = PA.T * X.T\n",
"print(X_3D.shape)\n",
"\n",
"x = np.array(X_3D[0, :]).astype('float')\n",
"y = np.array(X_3D[1, :]).astype('float')\n",
"z = np.array(X_3D[2, :]).astype('float')\n",
"\n",
"from mpl_toolkits.mplot3d import Axes3D\n",
"fig = plt.figure()\n",
"ax = fig.add_subplot(111, projection='3d')\n",
"ax.scatter(x, y, z, picker=True, s=100)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"(3, 71)\n"
]
},
{
"output_type": "stream",
"stream": "stderr",
"text": [
"-c:16: ComplexWarning: Casting complex values to real discards the imaginary part\n",
"-c:17: ComplexWarning: Casting complex values to real discards the imaginary part\n",
"-c:18: ComplexWarning: Casting complex values to real discards the imaginary part\n"
]
},
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 22,
"text": [
"<mpl_toolkits.mplot3d.art3d.Patch3DCollection at 0x10a0a0390>"
]
},
{
"metadata": {},
"output_type": "display_data",
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FN5XP1ufzdWjfuVgZgiDEfbbBYBCDwZCR2LbnRqmsrOTCC0fx2muPUl9/OrI8\nCKu1FIidm2BwPaL4LoHALGy2K2hu/i9ARFFkFMWAxTIOWR7BoUN/w2Lpj8ulVmky5pxq3dWYzWb6\n9etHJFJMU9NmFKWAmPD6sdminHhiOcXFxfTvX8327b/ngguaMRj8lJeXc9JJZ2G324+KVfyuJpd7\nINuFu1TdPBJFV81+7On0StHNxL3QWaFfud5s6oWlFuvJpnNEJnO95prL8fsXc889f8RimU8gMAhF\nCQBfYrM10r//XL77rhSHowqvdyKh0AfAGERRAARiTSa/R0PDh7hcYw8L8nqGDEkfP5Vvd0tHsNst\nDBhQzPHH96elxYssK5jNrsMJJOq3YnWUZ8+e2abSVC6vyNoF2a4W4qPFtZGNVaw9/xDzK69Zs4bG\nxkZOPPHEvMyns+mVoquSLEGis0O/tGMzuei085FlGYvFklPx9PYwGAxMnz6JJUvcgB2vdxOCYKSi\n4ixKS09m7dpvMBhKkWUZh+MkAoGXkOUWDIYjYTZG4yj8/heRJC8+3waGDrUxYkTbZIOeyqmnHs+r\nr27A5RqUMqussXErw4f3yag+cSZioJYYVcto5jvj61imvVBC9Y3xj3/8I5s3b+aJJ55g/PjxnHTS\nSdx+++3tZmAm/q4vvPACc+d2/kJqrxTdZNZqd4R+pSPZfNQ8+c7Yn/o9i8VKv34XxKMUVF9rKBTB\nYDBiMIiIosKgQZXs3/8pZvPp8W6+sSgGB17vlwjCQ/zhD79vdf4ikQhLly7llVeW0tzcQv/+ffj+\n92cxadKk+DFrX/26mgkTxvLWW//E5xuPw9GvzeeSFMLrXcr3vje5Q/vRioF6rGplN60YJ8v46kk9\n1jpCd6c/q+fQ5XKxbNkyfv7znzNv3jwCgQCbN2/OuGjSzp074w/oXJoa5EKvFF0V1UeqlliE7EK/\nOiONWFFi7YTUVt/a+UQikQ6lArfHoEGDEITdSJIfQbCgKLFzE6uGZqG5OQwIRKPrGTFiEkOG9GfV\nqmVEImUoSjmyHCQa/QSHYxX33vubVnG2W7Zs4aqrbqK5eRCSdDGi2Ic1a3bx9tsLGTHCyuLFC7t9\n9djlcvGzn53LX/6yiJaWc+jT5yQMBhOKotDcvIPm5iXMmTOA0aNH53W/6oOmPatYTb/NV9tx7Wv2\nsUbi/eD1ejnxxBOprKxkzpy2WZepuOKKK9i0aROzZ89m8eLFXdKFo9eKrnoxh8PheKWtrgr9SjU2\nsaatWmZU1zGXAAAgAElEQVQxcd6dRUFBATNmjGTJkvfo2/dcIFbIQxRFBgwoo77+EOGwH5NpOxUV\n12A0Whg0qIo9e2pobHTj9a5n0qSRPPjgn1ot7tXW1nLppTfQ0vL/YbefxxEjYiqyPI9Nmx7g6qt/\nzquvLuq01i0ejwev14vZbKZPnz4pf+fRo0/k1lsLeOedT1mz5h2gEFn2MXiwjWuuOZVTThnbpRaa\n1ipWffiJdRCSFTDvyiSDXOgJ4Wra/eeaHDF79mxefPFFbr75Zu6++27uvPPOfE4xKb1SdNVaBLIs\nxyMAcllFzZfopqppm2xcPvaXDNWdcf75Z7J27aMcOmSgT58zEcWYCBYVFWMyfYLH8w7Tp/8EozH2\n70ajkaFDh1BeXktz8y5uuOGqNtEU//jHU3i9c3A4zks6N7v9V3z77Ve8//77nHde2+90hD179vDu\nu5+xdu1+RLEEWQ5QUQHnnjuOiRMnJD2ngwYN4sYbB9HS0kJLSwtms5ni4uJuFwkVrVWcrA5CqiSD\nni7EXUmi6IdCoaxLmKpFoQAWLFjAPffc086I/NArRVcUxbgPTe3Emi0d9TuqboRkNW07a5/p5qG6\nMyorK/nzn3/L44+/wMcf/ycm02gUxQTsYsqUMJGIA5/vKxoabDgcFUQiPpqa1mKxrOU3v7mwTdiN\nJEk899ybWCz/SjuPaPQq/vGPxUyfPj0+L63vLZff6JtvtrBw4RKMxllUVs5DFI0oioLXu5fHHlvK\njh21XHHFnJTbdjqd3da0MRfShVMla+ujfg50uRh3t6WbbP/ZzqempibeF83v93dZQk+vFV2z2Zyz\njxQ6LoDBYDDuRsi0MWaufuRUc1XFVpblVpl1xcXF/OpXP2Lu3L0cPHiQaDRK376nMnToUCKRCBs2\nbGDJkg85eNCN02ni3HNHMWXKTbhcLrxeb6t9uN1uwmEBm61tDKQqCAAWyyj27t2PzWaL1x7WCkS2\nge8tLS088sg7FBb+EKfzyKJYbPGkCqdzPsuW/ZNhw9Yyfvy4rM9pbyGdrzgQCCAIQsZxrUcrudzH\ne/fuZeTIkbz11lsMHDiQ+++/n8svv7wTZteWXim60Lr2Qq7jsx2rLSCupuxmezHnYyFN686wWq1Y\nLJak8yguLmbw4MGt/s1sNjN+/HjGjx/f5vvJEiEsFgvRaBBFkRAE4+FjAEWR43OL/ZsPq9XaKlRK\ntRwSu+GqiQeqUDidzrjvWd3e2rVfEQqNoqysbRQCgCgaKSo6kyVL3mHcuFPaO4WdRnfFKKvXv9Fo\njLso2otrzWcnid5u6Q4YMIBHHnmE+fPn4/P5mDdvHjfddFO+p5mUXiu60HkRCInIskwgECAcDmOx\nWLBYLDldtB29SNN1jUi2r2wFIdkYp9PJiSeOYPPmD7DbZ8XPdyxV+IjoRCLvMGtW8lY32qLYsiyz\ndu1a3nprJd9+2wCIFBQIzJp1MpMnT8TpdCKKIp9/vhW7fVbam7uwcAh79gRwu93d6kboKQkK7cW1\ntlciszdZxdpjD4fDObkG5s+fz/z5mZUfzSe9WnRFUexUSzdRbNWatoFAoFNDv5Kh1mlIVci8M7nx\nxsv5+c8fRpImYzA42tyUkUgNBsNLzJv3eNrtyLLME088z4cf+iksPI+qquEIgoDff4hXX/2Uzz57\nmt/97hoKCwsJBiViPc4kYtXPjghC6xAtS69JVe4uVItYSzqrOBNXUHdbulp6U7EbgF4b5Kf9wTu6\nIJaILMv4/X7cbjcQKyBut9vjQpereGY7TlEU/H5/q0Lm2nnkc1/JkGUZn8/H5MmT+f73RxAOX0s4\nvFaziCPh9/+bSOQq/uu/ftrGlZHIv//9AR9+GGXgwBspLh4R/w3t9nIGDvw+jY3Tefjh5zEajQwc\nWEIwWIfJZMJoVF0PMbeGJElEImECATfgjvet6ynpyL0B1co1mUxYLBZsNhsOh6PV2kAsqSaEz+fD\n7/fH20WpWXjdeb61ou92u3tNAXPo5Zau1q+by6t+4lhFSV7TNtnYXC+4TMZp56HeFMkWU/KNelzq\nIk0oFMJisVBUVMT999/JuHEv8Ne//o76ejAY+hCJ7OGEEyr5xS9+w6xZs9L2jpMkiTffXE15+U8R\nxeRZeX37TmbHjpXs2LGDqVPHsGLFJyjK2DavvOpPUle3iqlTqzGZTPFFVZ/Pd8wsJHWGtZmsP1oy\nq1h9u1B7k3V1MaBE0e0tFcagF4uuesLzsZiWKHKpxDZxXK5zToUaAqc2aFQrkMU6I2T3Cp3LHL1e\nL/v378ftdlNWVtbmPMybdwVXXHEZ27dvx+v1UlZWRr9+/eKWeDp27dqF19uHAQNSd2aIWV8T+PLL\nTcydeyEnnbSCjRuXMGDAOW3OXVPTDszmz5g9+yqsVms87dZqtSYNr8o2ekLnCMl8xX6/P24RaxdI\nE9OeO6tEpvba7m3uhV4ruiodfY0OhUKEQqGMxLajpJqrmtjg9/sPp+y2rUDWEcu6vQt+27ZtPPvs\nm3z66RbABQQYPbofV145m4kTJ7b6riiKDB8+PP53tfNG4oJO4nxDoRCi2H7jQKPRSUtLCEEQWLBg\nLosWvcJXX/0dk2k8Nls5khQkEPiKoqIabr75+63atqtvA1pLTZv9lU4ccq2J0JN8m12JNnpCS6JV\n3JklMtWxvamWLhyjoqsosQLiqjWUbQHxfPl0ExMbUnWxyDX5IxM++eRTbr/9OQThUvr2/QWybMBo\nNPDtt+v43e9eZMGCPVx55SVZ7z8Rl8uFLNe1K1LhcB1lZTFxttls/PSnV7F7924+/3w9Bw5sxGYz\nM2HCMEaPviCjFet0ca7paiL0BvdEdwp+qn2nS/DIpItEplZxontBt3S7gFzcC9rXd/UHttlsWXds\nyMcilTaxIV3qcL72l2z/e/bs4U9/eprCwltxOmOZObECOQZKSsZTUDCCJ564jZEjq6mqqqKhoQGD\nwcCAAQOyrrFQVVVFZaWE1/sdLteQpN+R5SiKsoqJE4+E8QiCwODBg9tdpMsWrThoayLU1dWxatUa\nGho8OJ1WTj75RCoqKnT3RAfI5MGXzipOViJTK7oej4fKyuSdsHsivVZ0VTIRpFSv716vt0tDv9Rx\nXq83njqcKrEhHyRbZFQjMyKRCB9//DmKcmZccGNjINZxQsBkciLLk/ntbx+gX79RiGIlihLBbD7A\nrFmjOf/8s1s1z2xvLpdeegYPPPAyVuuNmM2tXQ2KIrN372tMmdIv6z5l+SAUCrFo0Yt88MG3KMpE\nDIZBRKNunn/+OSZMKOcnP7kcu93exj2hEo1GuzwNtzvJh5WdqVWczB2knYPuXugitJZuqgQJVWzV\nso8OhwOj0djhRbhcxqmJDRArMpNp6nBH5qlF29pdjfX98MONFBT8LOUYr/dbamu3EAicxtixP8Jk\nilm3oZCHN974gG++eYJbbsk8uHzcuFO49loPTz31IIJwGsXFJyGKJjye3QSDn3DKKUauvXZeh44z\nF2RZ5sEHn2D16j4MGHAnomjSfHY+X375Fvfc8w9uv/2meFEVVRhUQVDdVV3tnjjarO1M3UEA9fX1\nnHXWWfTt25f6+nqampo4+eSTqa6ubve8LF++nBtuuIGGhgYWLFjAXXfd1WnHlEivFV2VZAkSib7S\nfHePyGZcYoIFkLV12xHR3bp1Kx99tJq9exsoKLBxxhljOOWUsYeTPEKYTG0Xt2JpvhLbtr2EwTAP\ns3krinJkvhaLi4ED57Bt2//x1ltLOe+8mRnPZ+bM6Zx44giWL1/J6tWLkKQoo0eXcfbZpzNixIic\nw+Kam5tZt24doihy/PHHM3DgwIzHbtiwgdWrZaqq5nGkHX0MUTRQWXkh27YdYsWKlZx55hlAaytN\nURQsFkvcSjsWoie62p+sPd8Gg4FoNEppaSmvvfYad9xxBzabjWeeeYY777yTdevWpd2WJElcdtll\n3H///UyYMIELL7yQKVOm5L1CXip6reimsnQzqWmr3UZHEytSbVsb62o2m+NZZJmEV+UDn8/HwoVP\n8vXXEmbzZJzO0zl4MMCGDWspLl7Gb35zJZWVpezYUYPF0ic+LhxuxuPZQ3Pz17S02HA4SjAalTbR\nFIIgUFFxJsuWPchZZ01tlYab7u0DoKKigssuu4jLLuv4cTY0NHDHHX/m7bc/QBRHIwgWJGk9Y8cO\n5/bbf5lR36y3316B3T6jjeCqCIJAUdFZvPHGU3HRVdFeA8mstM6OnjgWUe9Zg8FAdXU14XCY22+/\nnT59+rQzMsaqVatwuVzMmxd7q7ruuut48803ddHNFFU4s1mY0o7NtepXKtqL+c1F6LMdEwqFuPfe\n/2Xz5qEMGjQHk0n7M4+mqWkb//3fz3LBBaP5+utlFBePJRoNUVv7IY2NhxCE4Xg8boLBEfj96xk6\n1Jr0AWOxuIhE+rFv3760hcXbQ1EUDh48yDff7KahwY/ZbGT48L4MHjwo7YJdfX09F1xwFfv3n4PZ\n/DGiGKuZazKFWL36NX7wg5/w7LMLkxb30fLtt/txuarTfqegYAh79zbFix1lSmdFT3R35EJ3oz32\nlpaWrKIXamtr4yUdIVb85tNPP83r/NLR60VXfY2TJCltxa1kdDRGMDGbLVliQ6px2ZLJGPXBs3nz\nZrZsMVNZeV7SuOPi4mHs2zeN+vq9DBq0n5qaNwkEorS0VGC1zsRoNOLz7QKKMJsLMRisbN26ixNO\nGAoknjNz/O0iEonEX7fVP+2d43A4zLJlK9m+XcFqPQ67vQifL8zSpTVYLO9z3nljU65M/+d/3s3+\n/edhs/2O2OmJnSNBsGC3X04oVMGPfvQfrF69NG2ESuw3aS/5RAHkvGUFpoqeyNQ90RPoKeFq0Wg0\n6wgkLZ0RHZSOnvHr5UhLSwvBYBBBECgsLMRqtXaZr1Qdq4qt2+0mFArhcDjSxv3maummIxqN0tLS\nEm9ns2rVVuz2KXF/tyRFOXDgIDU1NRw8eIhoVKa8fCKffLKdO+74BS7Xv9i//ytkuZxIpAm/fy+S\ntA9Yx4gRgygtHUp9PTQ3u1vtt7m5iaamzfFFpMQMpcSc/Wg02ubYP/jgC3bsKKWq6izKygbjcBTh\ncpXTv/84bLYzeP31DTQ0NLQ55vr6epYu/RSL5caU58VimU5LS38++OCDtOdv7NghNDZuTPudpqZN\njBxZ1enJM6IotqqHYLfb29RDCAaD8aJL6c5tZ9HdCSGJxk629OvXj127dsX/vnv3bvr375+3+bVH\nr7V0BSFWr9ViseD3+3NOIOiI6EYikbiPNlViQz5INc/ERbqioiIEQaC2tgmnsz+KorB167d8+20t\n0WgRimIF6jEaNzNiRBVms4mVK78A7FRWhgkGn0UUB+JylTJlymTWrl2KxRITGZOpjH37DlFUVMT+\n/fvZvn0fdXXfUljo5YknNjBgwHrOOecUJk4cHxcHi8WS8hXaYDDQ0NDA1q1hqqpOSnrcDkcRfv9o\n1q3bxsyZrctGrl69GqNxEqLY9rUyFmoURRAgFDqPjz5ayaxZs1Ke33POmcry5a8iSRMwGtu2fJFl\nCa/331xwQce6COdCKveEJEnx7tK9Nbkjn2RzfBMnTqSlpYVFixYxefJkFi9ezAMPPNCJs2tNrxVd\niEUBqBWPciFX0VUv8EAggN1uz8h/3NF9wpEnfLLCPNpFGKvVRHOzn40bD7B3Lzgck1v1j5KkAKtW\nrSAc/hS3u4S9e8/Ebh+KJG1DUb6guvoMTj55IopSz9q1T1NcfDUWixOPZw/ffruTLVs8GAw2nM6d\nTJnyH9hslYTDDfzjH29SX9/M2We3XeHXvkKrQrx1625EcRChUAhBiNXoVY9DFAVAoLR0ANu2rWfq\n1CA+n4+lS5fS0tLC3r17kWUrWi2KWfw+gsEQ6qUty2E+/vgLGhsbKSkpSXpeq6urueii4/jXv/5O\nefk8bLa+8c9CoSYOHHiR6dNtjBvXczpUqEJqMplyck90ZNGup1m62c7FZDLxwgsvxEPGrr/++i5b\nRINeLrrqhdcVhcwhdlP7/f54QzvVh9yZ+1THQGu/sSRJrF+/gddfX8Hu3QcRRYExY45jzpxpnHba\ncP7ylw/Zu/dEnM5Jbap6RSIefL6DCMIJuFyX43A0YLcPRxBOIRSazYoVf8NstnDyyd8D3mX9+j8j\nyyfh93vZt0/Gao1gsexn0qRLKCoaTCgUxuWqxGK5ijffXMSwYYNTvq5phbilJUphYZ/D51AVY+Ww\npSqjKLGQQJ9P5ic/uYX33nsfo/FMotEyBOFLfL56nE4PLpeLaFSioaEJWbYjCK54JIIgbGfXrmIu\nuWQBL7/8OKWlpUnnNG/eJZSVLeOllx6gsbESQShFUdxYrd8xb94kLrro3KS+1MQkia4i2TV0rERP\naIW2paUFh8OR9TamT5/Oli1b8j21jOjVogt06ImXqQAm69jg8/lynm8utSIglu6o+mnvvvsxvvmm\nlKKiK+nfvxpZlti06SvWrHmPGTNc7N+/HJiQNAyqsXELsBuH41x2796P0+nE7/dgs7kwGl0UFNzI\nihX/zbBh0xgz5lyGDBnP2rVvsH//BxgM4xk+fAbl5VdhMJgOzy02P6PRitl8Gp98so7LL2/fR2ax\nGJAktbGogMEgxss2qtsNBv0sWnQPjY3jiEY3EY2Wxj9XlJl4ve8RDs8gHI6gKAWAFUFQEEUFqEMQ\nllFW9iH79j3NH/5wN48+el/K32X27JmcdVbsZmxpacFmG8aIEVd3Wlv5jpLJ9d4Z0RPdbelq6W21\ndOEoEd3ESIJsxqYTwFSdI1TyuXCxa9cu3nnnQz76aAOBQJh+/Uq56KIpTJ16Wvy41FC4O+/8K9u3\nn8jAgRfHPzMYzJSVTSQaHcOyZQ8jSXUIwmsEAhFstrEIQkwgfb6vCIVexmabhCSNY9u2VZSWluLz\n7aW8fDAFBWWYTCX4fCewa9dKqqomYbEUMHRoMWbzEAYPvimp31OlT5+RrFv3Lpn0+Bs2rB/btu2h\nuLhtdIIqxO+99zfq6weiKI+1eoAIgoDReBuSdDOhUAkwGojFCsdesQ8hCNdSUnItBkMJdvuPWL58\nJgcOHEibZmw0GjOK7e3tdCR6Qv1ed6F9u+htKcDQy6MXtEHpHcksS5bRlq5zhHbfue5Ty5IlS/nZ\nz/7OO+9UYbPdSVnZw7jd17Nw4V5uvPF2mpqaDouMkZqaGlavPkS/fslbjxsMZsrLr8TjERk9+lKK\ni7/C7/8Tfv9C/P7/QRAWYzA4CYfPR5KcGAyFFBWdisMxkv37fezevYlwOIAsD6Sx8SAQ4eDBD5k+\nvQyr1dkqRTYZomhCkjJz91RVVeFy1eHxHEr6uSRFWLbsKaLR37ex2BUliiS5gGuA64AfAy8CrwG/\nB2aiKOOQ5asPuynsCMLprFy5MqO59XQ6w9rMNHpCFeP2IlM6C+2x97YKY3AUWLqQv6Liag59IBBo\nt75uR4VeZcOGDfzlLx9QVvZHLJZimpqaOXRoD5GIhMNxDo2Nx3Hnnf/LXXf9EkVR+OKLL4Epbfy0\nh48An8/H/v1BgsH+bN68nOrqi6mutiLLPkTRwq5dX3Dw4G6s1mKi0QYsFieCAEVFpZhMNpqaavnu\nu7U4nQfw+7cTDEa46KKRjBs3hpUrt9DcvJeiokFJ9h3D691L//7JF6wSMRqNnHfeBF577QsOHBhO\nnz6DMRpj5Ro9nkPs3fsp4bAfUZx05AgViWh0IdHoo4AZtf4vfAY4gBJgGLAUUSzF46mhpKQYEIhG\n7Xg8nlZV5o6V1f1cSeaeUOPi1TZJXR09ob1/elvXCOjlottRS1cdq1Yzai+xIXFcrqKrXfh7/vn3\nsFrnEo1aWbnyK5qbI0iSGRAQhAAWSyH79kVYu3YtZ511Fk1NPozGtq/HsiyzbdtODhwIIAjlWCwn\n4PFsZNu272E213HCCQMpKirC7S7CYPgARQkhy3sxm4s5cKCBaFRGFAUKCvoSiXgoKVnFj398EdOm\nTYs/eGbNGstjj61qJbqCANrT0Ny8iosuSh4Clow+ffpw2WVT2LhxGxs3fkM0akVRIlRUmDn77Aoe\nftgcr/ugKBKRyFwUpQV4DjiFWLKGH3gauBNYDMwCZBRFQBAsBAJBHA47BsMG/P6pPPzwswQCYfr3\nL2LKlFMYMGBAK5FIVkpQ5wjq631HkjvyWcBct3S7gY5meXm93lYlHzPdZ65REypNTU2sX7+PoqIR\nrFq1gaYmAUWxA2UIghFFCRAKHcLjGcV99/2TM888k9LSAiSpsc22tm/fRW2tSEHB6MOvgSasVhM+\n3+eI4oV8/fUuhg0LE4n0wW6vxu1ehNE4lmBwCAaDWlNYxucLEAzuZNCgg0yfPr3VjTFmzMkMHbqW\nmpqP6d9/Wps57Nv3CUOG1HHyybOy+j1cLhdTpoxn4sQIwWAQg8GA3W4/XP7SgNu9GVEciSTdhaI0\nAu8CFmKCqwBW4EfAicCFwGqgGkWRURTj4VCy1/H7a/jwQyc22ziMRgtbt+5j6dLXmTq1L9dddxmC\nILQpJZisRbmW7lpU6kmLWSq5Rk8kWsXtkehe6I5SoB3hmBVdtb6uoihYrdYuy2bT+pEbGxuR5QK+\n+24fDQ0Sojgco7Gc1qm2VYTDzWzYUMP27ds59dTx/POff0OWz4+7GAIBP7W1LRQUnEQsaWM/VmsD\n06ffzvr1z1Bbexuh0Ci++SZCKOTDbN6O0bgHo7EIo3EkBoMJEFCUMLL8GUbjEgTBSnNzM8XFxfGZ\nmM1mfvGLeTz++Mt8883XiOIYLBYXHk89RuMmhg83cu21l2E2m3Mq7KONOYWY+2HBgqt46KEHiUQe\nQJYfBJYCNu0ZJbY0IQOnATMO/1kBVAIS0ega3O4HGD/+PqqqpsZHFhWNQJbP4OOPn0MQXuZnP/th\n/DOtxab1YyaGWfWEOgRdTTaCn2n0hHp+1QW+xAddqugJj8fDsGHD8ndwXUCvFt1c3AuJhXGCwWCr\nGrvZ7DtX0Y1Go3g8HgwGA7Ls4bvv9gHHYTD0TTJCxGAoJBwu5NlnX+Ouu/6TKVOq+Oyzl+jf/3IE\nQeDAgXoEoQxBEJHlIH7/U5xyyllYLC4mTLiRSKSBfftWsXv3k5hMDsrKbmHPHgvh8DoaG28jGh2A\noogIwl6KioZhs51LYeG3fPnlBmbObF1Vy+l08stfXsuePXtYu3YTjY01mEwy06Z9j4qKivjx5Ysb\nb/wRL7xwLrt3zwAKgVTFa0RiVu884NvD//09ivIK4fDnnHDCHxg5cmrbUaKRAQOu5JNP/psLL6yh\nqqoKUKMjUvf/0voxQ6FQPHa7p9VH6KlkEz0BtDmvqvDqPt1uIpNXfW1ig7Zjg/qqkwvZjlPjfaPR\nKA6Hg0GDBlFd7WLlyu1YLG1f14/s5xPs9tl89tkKAG666Yd4PH9j/fq/4HTOxOsVEMUifL5PiEaX\nMnz48QwdevbhFWVwOCqorj4fo3EfTuceNmw4QGHhWZjNJ1FRcSnB4B5AwWKpBBy43X9m1KgL+OST\nj9qIrsrAgQPjNWsbGxspKipK24I9V4qLi1m69HWOP34sMLydb4vEFtYagGbgRqZOrcZmO4uBAy9K\nPUo0IopTWL78C666qirl95IJhd/vjz+0te3JVeuusxbsurvKWGc8VDJxT0iSBMRqb1xyySUUFRXh\ncDgQRZGTTjqJgoIj9aGffPJJFi5cmFKUm5ubueWWW7j22mtb/fsLL7zA3Llz8358Kr1adNWLThTF\nlNZVssQG7cWar8iHdGjjfdVmimrA/ezZ43n66UXAlcT8lK2RpBUYjfux2a7G610OxGrIjhw5iGBw\nA9u23Y/HU0coVM7gweM57rhLKS0d2SppJByOIMtRDIYIF188lc8/fxO7fSpgx2Cw43CMiH+3sfH/\nGDCgkPLyEezZ8178lbo7qa2tJbZYtgfwEYtSSIYArCcWr9sPh2MDv/71TSxatLXdUDe7fQB792af\noaSKhNYq1gqF9tU5cUGpty7YdaXgJwqxei8VFxdzzz338OCDD/Ldd9/xq1/9isbGRrZv395q7MKF\nC5k2LblBs3z58njhm507d8ZdablkuGVDrxZdlWTC2V5iQ7qxue4zkWQtcrRPa4DTTz+dgoIH8ftv\nQxTPx2A4DXCgKDVEox9gNG6gT59f4fN9S1mZg//5n7+xcuUBBGEKJtNFGAxuSkre5cCBffTpM41g\nsAifz4/D4SAajVkHRqORaNRLUVELZ589k1NP/YR16x7EaJyG3T4aQTATCtUQDq+gb98QEyZcTTjs\nw+Ewtzpnsiyza9cu1qzZRnOzH4fDwrhxx6WsaZAvHnjgQWKX6iTgeWBBim9KwEPA/wNuIxi0cfXV\nv8RgGMHkyZcwYMCAlPuQpBBmc35uB61QaMVY24QxWe+vbBeUjmVMJhOnnXYa9913H48++igFBQVJ\n78f27lH1PF9xxRVs2rSJ2bNns3jx4lZF+fPNUSe6icVgUoltsrG57jORdPG+ickYxcXFjB8/jC+/\nHI0gbCcQeAVZDmM0llJcfDp2+22AGUlahChGWbmygv79b4onCxw6VEdzczmHDv2bZcseorLyFgSh\nluJiA6NGVWO1WjEaRWpqljB//ikYjUbmzfseJlMzwaCXPXv+iSRJlJX1YfjwSZSWDkcQRA4dWsuM\nGcfH5+nxeHjmmXeoqXFgs52AzVZIfb2fTZu2YLN9zHXXnUdBQUFcMFTLLh/i8f77HwH9gHHAbcSi\nFE5N+JZELIIhQCxZ4rdEo3fS0vIvFGUd77+/mNNOu4zhw5MvugSDX3LqqSOynls2x5jM16u1iNMt\n2CUKcXfVfFD33Z2uDe2+1aJTkFvCknovzp49mxdffJGbb76Zu+++mzvvvDM/E05CrxZd7UKaalVm\nktiQuI18ia62IE26eF/tOEEQ+PnPL+WWW94nGLyeoqJrEcUjhdjD4WaCwU8pK/ucaHQK/fvPjX92\n4GXMr0UAACAASURBVMBBtmypx2Y7gcGDj2fPnntoaVlCefkNeDxuvvxyCyNHFuP3f85pp4WZOfNM\nAMaOHc3777+E1TqHMWPmtJpbJBKhpeUgorieiRO/H/+3p556m7q60Qwa1DoGt6hoELW1W3j88be5\n8cY5OJ3OuKvH5/Pl5XXa5/MDUeBV4O/AxcQiFC4j5sNdDzwGHALmciSa4VrgJ8DLhMO38PnnpVRW\nVlBQ0DpX3+PZSUHBdk455QdZzSsfaP3EKunqIqjnsye4fbqDZILfkfOghgmq21iwYAH33HNPh+bY\nHr1adFXUxYtIJJJRYoOWXONtE0VXDUED0sb7JhOcGTPO5MorN/PGG6/Q3HwaMavOiCz7sFr3UVW1\njMrKAUjSrPj4SCTC9u0HsNtHIoomBEGmb98rCAT+RDD4ZwShDw0Nu9mz5xC/+91VTJs2NX5eCgsL\nWbDgbB5//A3c7tGUlY3GanURDHo5cGADoriOG2+cFXcbbNu2jb17Sxk8+IjgyrJCJBImGpUpKRlM\nXV0DGzd+w2mnTTgclSFjtVrjApJt/Gvrc6agKOVAMfAA8DrwJTGhDRDLQjMQs3bvApYA5ahZ7oJw\nKYryNZHI82zceByTJ88GIBoNU1e3BlF8mz/84YpW5S/bw+PxxAvo57sgTiYr++oDPhKJdOqCXTJ6\niqWbr3C9mpqaePsev98fX3fpLHq16CqKgsfjif8Q2pXLTOlINhtk1wgz1f6MRiO/+93POP74N/nX\nv96hoaEIRbEjivVUV5u45prLePDBl3C5jouPqa+vR5aLEARD3AoqKBiFopQxa9ZNRCI+JCmM2/0U\nkyZNaPMgGjx4MP/xH5eyZs16Pv30WQ4eDOJwWDnzzEGMHXtBK//nZ59toagoVkRcUY6kgRqNRqxW\nM8FgkKKi4SxZ8iS7d+9j69ZDCIKB448fwKmnDqeqagBms7lVsZRkgfLJhDj2QLQSs2IbgLOA7wND\ngYHEohQ+ISa4jwB24B5i4WUSRy7xG1GU/2Xv3luprV2HKFqQ5TomTRrIxRdfk3H34E2bNvH66x/z\n9deHEEUHktTMpElDmDNnOscdd1z7G8iRZAtKRqMx/oBLt2B3tPuJO3JcNTU1jBw5krfeeouBAwdy\n//33c3km1Zo6QK8WXVVoZVnG4/HkvI1cRFe1jmMlAI+EoGVKorVgNBq57LKLufji89i2bRuhUIii\noiKGDh16OGb0VWQ5rI6msbEFQShBLYkY22YUkLFYXNhsxciyTHNzPw4ePMjQoUPbzKGoqIiZM89g\n5swz4vMJhUJtQr/q6lpwOkuRpJhIiqIYP171Bt+4cRdr1mxm06YRFBSMBxS2bdvBypXrOP30nZx3\n3mlx3xsciYPVvhEk82t6vV4gCJwL/BGYTcyqLQTcxITYDvyZmJ93PrEokCYgREywQRAqgD4UF4vc\ne++lSJJEUVFRVjGeS5a8z+LFX+FwXEBl5ShE0UAo5Gfdug2sWfMCt9wyi4kTJ2S8vY6iDUtLtWCX\njwywRHqKpStJUofaJymKQlVVFY888gjz58/H5/Mxb948brrppnxNNym9WnSBNgtUnZ3koI1IANr4\njqPRKLW1tUiSRL9+/dq8srY3P7PZnLS04IQJ1Sxbtg6rdSaSFAWO3EQqgcB6+vYd0qoYTqanI928\nTCYBn8+NzVbUxmJVFIU1a77iq68COJ3jqK4+D1E0oCgysjycxsYdLFv2FfAZF100vc2ikNa1owqx\ndi6RSARFcQA3AccDJxOrrfAxsSI3xwNnEqvF8HPgUuBhYtbwt8QW39RXUS9DhgxLG8WQiu3bt/Pk\nk19SUfFLzOYjb1QGg5m+fScRDA7lr39dyP33D6K8vDzr7eeTfC7Y9TSyrTB2yy23pI3T/eUvf8n8\n+fOZP39+3ueail4vutA1hcyTRUVoretgMMjTTz/HokWv09wMgmDGYGjikktmccMN19C375FsM3Wf\nmc5VURRmzpzMkiVPEwxOwmYrpKTERX29h5g/ExQlQiTyLsOHnx0fJ0kBBGF/Vrnp2vOhlu8bMaKM\nFSt2UVR0aqvoC1mWqa+vY8sWN1ZrMRUVx8UfQGrrnfLy4Rw6FGb79s243W7KysriN75606s3u4pW\niO12OwYDRKOjiVm4dmAisUWyKDHXQj2x2Nx7iPlyC4hVINOyAoNB4qc/vSrjc6Hl3Xc/w2Q6u5Xg\nxoidC5utnMbGySxf/jmXXjqn7QbyTLbXensLdmpmXapKYdpMsJ5Ce8VufvjDH/LDH/4w5efdRa9f\n/tQmSHRGvK0a/uV2u5EkCZfLFc+AUccGAgHmz7+Je+/dQkvLAzid7+JwvIHB8DLPPFPAnDnXs3v3\n7oz3qUWSJLxeL5WVlVx++cnU1T2Mz7eHsrJSRLGZaDREJLIfj+evVFdXUFFxpI/XgQMrmTx5aKvX\n+kxQj8ntdiOKIlOmTMRg+Aa/vzn+ubqIU1NziEjEjsGwlYqK0Um3V1AwiN27jezadRCLxYLdbqeg\noACXy4XNZov7JSORWMEbrW8SwOksAA4ScxVUA+uAUmIuhtnEEksuJia2BUAjsUSK4w7PN4Ig3MrQ\noWXMmDEjq3MBsYfAypVbKStL3yOtuHg8H3+8OevtdxeqEKv1c+12Ow6HA5stVgBJUZT4ArHP54vH\nvUPb0MeuIltLtydyVFi6kP94W/WCCwQCCIKQNCJBHXvvvX9l3boBFBbegbbYtsnUl6Kim2lu7s9P\nfvI73n33ufiCSCaJFX6/n0gkgs1mQxAELrroXIYM2cAzzzzOoUM2SktNfPfd/+JymRg37ntUV599\nePEpysGDqygtXcusWZmHQanHLElS3F8uCLHmh5ddNo5nn30Nk2kiRUWDMZstiKLIvn07kKTtDBs2\nA6czeQqtzeaiqclIc3PrFkeqOyExm0u1hNVwqTlzvsezz75CNPpbYj7b64mFgtk4UvwmQCwjLQQ8\nBZyNIBSgKBsRhN9QUrKb119/Mx5+pQ1ha49Y81MjBkP6VW2j0Y7PF077nZ5Oe6m4amKP2gI+20iU\njpIour2t7gIcBaKrjdXtaNUvrYNeLYqTrrW6IAh4PB5efvk9nM5XSdaPDMDp/AG7dz/Pl19+yfjx\nsYIt6RIrAoFAqyw2URSJRCIIgsC0aaczdeoUdu7cidfrZefOXXz66Q48ngPs2bMMQYgAmzn55BLm\nzfthxjGM2mNWSytqrc3q6uOYP19k9epv2Lp1JYLgQFECFBdvxvL/t3fm8VGV1/9/31kyk5UQAyRh\nMwIm7EsIm4horSgIRVvUWkpQq8X6FcG1uCBoXX9VQKSitkVco6ZaN1S0GEBZlKVRWUvCFgLZIPtk\nMtvvj/Bcbi6zb1mYz+vFS5PM3Ps8M/c5z3nO+ZzPMVxISoorIZpm2GxmYmM9V645M8Rz597Gv/89\ng8bGG7BY+uJwjKG5Ku1lmsMKdqCO5qP+u8CT6PUXAtnodCX89rfTeeqpNzEYDC3EVATly9VRWkCv\n1xMXp8NkqiA6Otnl2BsajtOtW3iMgDq8YLVa2b17N1VVVRgMBjIzM4PmBSoNsSi5j42NbUFhC0XC\nzhmU66Y9aulCBzC6AsHQUFDqNHjDSJAkie3bt+NwDEan6+L2dRbLZNauXc/IkSOdXtNdFZt6fhqN\nhr59+wIwfPhwpk+3sX//fiorK9Fqo+nT53d07doVh8PBqVOn3M5f7VFrNBrq6+tlXVsxLo1GQ79+\n/cjMzKShoQGTyYTBYGDTpt7k5h7HZCojJsaZShrU11cSF1dJ//7qKjLv0L9/f5566n4WLLgGjeZR\n4Aksliew2UYDU4F+REWZSEj4hM6dT/HII88THR1NXFwcw4cPl08oomhDme2XJKmFIXYlVnPllSPI\ny/uOHj1cx2tra78jJ8f95hNsOBwO8vM38vbb66ipScPhSAXq0Gg+ZeLEDHJyfk10dLTH6/hyP6Wj\n40qJzV3CzpdThjOI91VVVUWMbmsiUL5tfX29LIoTGxvr1QMhSdLpY5bnbqSS1ImjRwsoKCggOjqa\n888/Hzg7jOFrcQc0Mzj69+/v03ucedTCczEYDFitVpmhITyd5mO2Q+6dBTBsWCZffbWf0tICDIZL\n0GoNZ92nrGwLv/xldItkoq+YPXsW6em9efrpv7Fz5wNER3fFbK4hMfEjLrwwg8zMvkyZchfjxzfL\nNypDFMoCAmV4R/m8qA2xmvs6ZswIPv/875SXn09y8mCaO3uc6ZpRWvod3bsfYeTIa/2eoz/45JMv\nWL16D8nJd5GWdiZharU28p//fEpx8d94+OE7fCr8CATeJOyampr8bu2jNPq1tbUh5UaHCu3e6AYS\nXhCMBAFPOg3O0OxRFrrNJldVVVNWtpW1awv473/fxmw+wpAhafzpT9eTmZnpMYwBgW0q6ioeUaqs\n0+nkuK3wApUGx2g0otfrW8RZhTcoFkunTp24+uoBvPvubiorzRiNg4iN7Y5Go8dkKuf48XwyMg4z\nc+bNAZetXnzxxYwaNYqSkhJqa2vp2rUraWlndxJWz13peVmtVtmbVVdwuTPEqampPPxwDs888zpH\njnxPTMwodLoEzOZKzOYt9OxZyQMP3By2du3Nm1kZb731PampD6LXtxRo0emMdO/+a/bsWc3XX3/D\n1VdfFbT7+sMQcmaIleEJbyUxlfePeLqtDF+Mkvoor9FoMBqNPhsFSZIYMmQIyckNnDpVQHT0sLNe\nc+JEGdXVdUjSJnr3fh+DIQ2rtZFduzYxZ85SHn/890yefKXHB9kfo6u+prpUWdTwi+taLBbMZvPp\nGGZci8/DmeciDFlW1hB0OomvvvovR44UcvQoOBxNxMfXc8MNA5g+/Y8BHXHFaaCxsRG9Xk96errX\n35U7z8tXQ9y9e3eefXY+BQU/sn59PjU1JhISDFx+eRYDBgyQQzNKgxFK+cZvvvkOGHeWwVXOPTl5\nEh9/vJyrrroioEICNcxmM4cOHaasrAqtVkP37l3o2bOnT9+Lu4SduseaMtYu/l5bW9suE2lunwRH\nWyLluYDSc7Pb7W61MJUUGI1GQ0xMDDqdjpqaGqKjo73ujyYgMrjffLOe+fNfJSbmVfT6M0e8mpoa\njh+vRJKW0q1bMn36PHx6sdtPH9eP0dg4n48/fpEuXVzHhKH5Qauurm7RPscbnDp1ivj4eJmKJUqV\nlSpgVqtVTioJCpevcDgcWK1WDh8+LAvddOvWDaPRKBs98c8XAyTGBvg9Nm/Hr2ZOKGPASuOp5Clb\nLBb0er1c1KE2HKI1eTCz/A5Hc9fnv/zlVSoqric+Pt3t60tKFrJixR9JTnadBPQWFouFn37axbff\nHsJq7Yle3wW73YbFcpTExCquvnpU0HuWqU9atbW1DBs2jO7duzN8+HAmTpxIVlYWe/bs8Uq0PCcn\nh127djF+/HgKCwtljZGmpiZuv/12PvzwQy644AJef/11BgwY4NeYJTdfbofxdEVW1RVE3NThcJx1\nlA8kCWe325ky5SoqKk7y9NM30NAwjaioS5EkPaWlXwGfk5w8nN6975epWFarhZMnq2hshMbGQTz3\n3DIee2yhW6ENf8MnDoeD2tras+K2So6xEKfxp22Rcnx6vV5O8In7q5MqytCEO0MsKv+sVqsc5ggl\nFUnpeTkTmVEbYvF3nU4nnxjU0Ol0REVFtTDEwc/ye5N78I/D7gy7du3liy+O07PnFKKilKeXftTU\nlPHuu99y441jPToRvkAk7DQajVzpeeDAAW699VZGjBjBjh07yM/PZ8qUKR5Fyw8dOsTbb7/NzJkz\nz/qsX3nlFfbt28eOHTvIy8sjJyeHH374IWjzEOgwRteVURJtemw2m0tBmmBwfHNyfscvfnEJ7777\nId988xwmk4mTJw9y/vl/Jzq6OfGi0WgoLi6htLQaSEKjScRmm8Rrrz3MTz/dztNPz2PwYOcFBgLe\nxNSE968MJWi12hYGQ3i+BoPBo0iPv/DmaK82xKLIRXTZEDHn1oDaECuTnmJeIjEEtAhNiHkoP3Nh\nPIQhBud6E94a4szMND7/fD/x8ee7nIPJVE5MjCkox/Cmpiby8/eTmnqVyuA2IyGhKxZLNhs3/si1\n1/4i4Pu5Q3x8PPX19cyfP1+Oo69evdqrdTx9+nQOHjxIenrLE8Inn3zCHXfcwfnnn8+8efN4/PHH\nKS0tDSgB7AwdpiJNbTjtdjv19fXU1NSg0+no1KmTSwpYsAorevTowT333Mmnn65i1apnSU3tT0zM\nYHQ6LTqdlqNHSygttRAV1Z+oqFT0+kT0+lSioi7EbL6HuXOfo7Cw0O08PcFisciygyIuKwoehNGo\nq6vD4XAQFxfns1BPoBCGOCoqSqZ1JSQkEBMTgyQ1C+4II2a1WmWGhRh/a0FQ68xmM7GxscTFxREd\nHU1sbCwJCQnExcXJm5fNZsNsNsvjFl6weF5E8khk8JvV2owyTVFskGazmfr6ehoaGmhsbKSpqUl+\nL8Dll1+E3b4Bq7XR5bgrK/OZPHmkz6EzZzh48BBNTT2IinJd4ZiU1IODB80eqYr+wBk32Z95xcTE\nyFKOSpSUlMi/1+l0pKSknG4VFVy0e6MLZzwScYxraGiguroaSZLo1KmTXNHl7v3BqmYTxr45zleH\nw1GLJGkwm82Ul9cQFXU+yo/dZttPTEwqCQlDsFpn8vLLuX6N02azUVdXR319PUajsUU1mc1mo76+\nnrq6Orn7cTAWYbAgWCQWi4WYmBgSEhJkQ6zT6eRQQ01NDbW1tbLxC4chFmOrq6tDq9USFxfnlNIn\nvGFBOUxISCA+Ph6DwSCHvlwZYqCFIYbmRW8wGFoYYqGPYDKZAEhOTmby5D4cO7aSpqZa1bjtnDjx\nFd27/8SVV/pe+uwM5eXV6PXu48LNXn6y36p/7qBm4Yj7hQqB0lBdocOEF4DTUoZVPnWOgMDpWOK/\nQhDHYDDQrVs3fvWri/nXvz6jS5ffU1FxEkiiuWrNgcPRvDDgI9LSmruRJiVdyqZNb1JRUSEnPaqq\nqjh27BgajYaEhISzKDJKvq3RaCQmJqZF3FYYXQCj0SjHoYXXBJwVX9VoNFRVVfHzzz9jMpmIj49n\nyJAhPms4ePPZCc82KipK9nYFfA1N+JuscwXhaWs0mrPYHN5AhAeUG5wYv3IeogpQHU5Qx4mVXYfN\nZjNarZYbbrgGo3EN//73o1gsg5CkNKAeSdrBiBHn8ac/3eGx31dlZSXl5RXYbHbi42NJS0tzurHo\ndM5j12o4HLaA6YHOr3v2Gg2m0U1NTaWoqIhx48ZhsVgoKSnxSEn0Bx3C6DY1NVFfX4/D4SAhIcHn\n4gLxIPsKYazNZjMNDQ1nGftZs37Dl1/eR3V1HxoaUtFozpPf63DYsViWk5gYQ6dOzUIqWq0BrbY3\nx48fx2KxsGpVHvn5e5Ck3oANh+MQU6eOIifnOuLj4+W4rbgv4DRu68ygNY+hZaJIzCM39xM2bizC\n4RgKJKLVFqLXr2HatBFMnny5nHTzF4Lp0NjY6JNB8ydG7I8hVibx/GG1uIMr2UV1ss6VIRZ/Fz/r\n9Xquu246U6b8koKCAsrKKjEa9WRm/o5u3bohCniclTnX1taSn7+D4mIHktQdjSYKu70Co3EPF13U\nh379+rYYZ/fuXbFa9yNJzvvMAVitFjSaUpKTz6ZPBgNqTzeYmDp1Ki+88ALjxo0jLy+PjIyMoDMx\noIMYXZvNRkxMjHwE9BX+errimGg2m51WknXv3p1XXlnE3LmPc+SIEYvlVzgc3bHbDwGfkpSUSmbm\nYpSaDQ6HmfLych599BXq6q4mOXkOOl1z0qKhoYIPP/ycbdsW8/jjd5GYmCgbLOWmIQyaTqdza9DU\niSKLxcLSpasoKEgjNXUxGo0eu73Zkz5+/CiPPfYWq1d/xdChQxkxohfjxg3x2ROw2Ww0NjbKjIlA\nDVowDbFI4JnN5rAm8URc153wjzKWC8hsDrFxRkdHM2bMGJkVocx1OCtAMJlMfPbZD1itg0lL69WC\nS2w2N/DVV1ux2RxkZp5pTtq9e3cSE3+gtraMxMRUp3MpK9vLkCHdglp6rPxMxBgbGxt9vod6jau/\n2zlz5rBjxw6ysrJkylgo0O55uoCc+T158iSdO3f2eaGIheZtux9x7BQPs6d7WiwWnn/+eVas2ILB\nMBijsQtduvySTp0Gtnif2XyCpqZ76N07lZKSa0hOvkh1nSYkSeL48Q+49NLDPPzwvBZ8W6Ed4S/f\nduPGb1m2bD+9e98mj6umpobdu4/hcHQhKiqO2tqlXH755aepb9uZMWMwQ4cO9uhNKkMJ7hgTwtgE\n4km7ur/SEIt/Sg6uEBVq1vANDR/YH4jPTmwG4mTmSpNY7UQ4M8QbN/7A7t3n0bVr+mljLqHRSAgd\nZIvFTFXVN/z+95e0KCE+fPgwH364E70+m/PO6yVf02q1UFa2l/POK2LGjMtCYnTNZjOSJBEVFUVJ\nSQkPPfQQeXl58t9Xr17N0qVLvRItDzU6PE9X+TCJY5mv7/dmf7Hb7bKmqMhcV1VVeTTyer2euXPn\n8vXXu5Gk2cTG9sNqtbV4n8PhoLLyHaZMyWTDhjpSUsYpruDAZrPjcDSPNS1tGhs33kVZWZkc+1XS\n4vzh2zocDj7+eDOdO5/pNtzUZGHv3hL0+nQ5Y63XX8qhQ//lkktuxmTqwwcf/IsuXc6TxcnV3qTg\nVnryvMvKytixYy8//ngMmw1iYnSMHn0BgwZleIxJegNXHrHQmBAeoGAphCJG7A+UcWXR4l4JVx6x\nsyIM4SmbzWb27j1J164j0en0La7VbMytgAaTqQv79v2PzMwL5e8yOTmZG28cx6ZNuygs3IkkJQN2\nNJoyhg7txtixoTG4ajhTGGurouVqdAijKxBKIXNlkkxoNCiTaJ4WZXR0NE8++X/cffdfMJv/QFzc\nKMTHbzaXc/LkWwwdWkyvXoOx2zspFoqI4Qn+p4QkGYDB7Nmzh+zsbLdxW29hsVg4cuQUPXqcERCp\nrDyJzZZIdPSZBFpMTH+OH19z2iPshMEwioKC/zF9evpZ3qQQNgFaNFFUHmUBdu3aw8cf70WvH0zX\nruPRavU0NtaRn7+fLVu+4MYbJwS9BY66tFiIHIU7WedufCaTyWNc2dvQhJiDRqOhpqYGm60TWq3u\nrFxG8+bUfK+EhO5UVByUTwHiVBUXF8dVV42jrq6O2tpatFotycnDQ25shccOzV5reywBhg5idF1x\ndX15v7P3KYsMXMktivd6swCzs7NZuTKGFSveYceOVzEY+uJwmIiKOsqsWROYPXsRubkfIElROBz2\n094wpxeUhM1mlX9ns0VRU1Mjlz6H4jhcWlqNwaDmMzpQTrVLlwvZvv1bpk1recwV5a8Gg0GmfYk2\n7MojcVlZGf/+915SUia34H8ajXF07z6CU6e68d57G7n11quDJiYjwjCATEsTCFeyzhXUm4E/cWVX\nhljMAThdutuk2MxbhibOMGCQj/SSJMlrQVR2Go1G+fVCAjTYGrrKOSjDXu1R7AY6iNEVCKbRFRoN\nkuRebtHXew4cOJAXX3yMvXv3YjKZiIqKol+/fnLcrEePrths+7Baf4lWq0OjkWi+vOP0z/bT/NRC\nUlIGYbfb5QSi+ljvy0Ov1+vp1aszVVWFdOrU9/RnYDvLwzKZ9rZoV67TRWG3a2WiutJgqEMJosxZ\n6Yn98MMeNJqB2GySatE2xxc7d+5OcXEahYVFDBjgm3ylGko+sC+VeOFkTYiybPVmECiUc+jWrRux\nsbvQ63VotXqF7KLt9Emk+dkxm0tJS+ssP+Oia4QwfuLzUybr1GXOwewqoVxn7bVVD0SM7lnvUybJ\nPMktBjLOlJQUWWgDztCUBgwYgMGQh91ei06XdHpcgi7UXAxQX3+AHj0sZGVlyWNXLv7GxkYcjubW\n6OJY70ntSpIkpk0bywsv/IeEhD5IkoTRqKepyYxWqzs9RgtW63r6979afp/ZXI/B0LwI6+ub2/F4\n8ryFJ2a32ykqqiEt7UI0Gm0LkRiL5Yy6lNHYm23bdpCRcaFfC1cYDCFn6Q/n1tkcQsWaCCRM5A2i\noqIYPLgbO3cWkpY2wKnSV0NDDXr9cVJTL2ohfyryBcpQjBJ6vT5oZc7OIF5bXV3dYv20J3QIoxto\neEGgrq5OVuKKi4vz2gsKtLBCVBlFRUWRkpLCLbdcxYoVz5GScj96fYLsgWg0GpqaymhoWMmDD17f\nYt7iOCmO4OrYqrtCCIExY0azYUMBP/74HqmpvyIlJZH//a+SqKhYrNZaamreIjMzha5dM+X3lJf/\nzNixPTGZTD4L0zR7RFGIlvHOOKx2ux2DIYbaWlOLdkLeevWh9B7V8McQN7NAmj3IUIWJnGHo0P4c\nOfItpaU6unTpI38HzZvnKaqqtjF58hDi4+NpaGiQqxjdSWGKPIczQ6xcJ64MsVpDVw1leKG2tvYs\n7YT2gg5hdAX8MYDiyCne76uQuT/3FA+OsmOEkm/7q19NPl0ccS8WyxiMxoFoNA6amv6LwbCThx++\nnlGjst3eQ10NpS6EcGWI77nnFt588wPWrXsMi2UAZnM9DQ1WYmKOMWLEKIYOnSrP+dSpYhyO7WRl\nTfMr9tis+9CEzWaRkzfO5mG1mujWrbmsVjkHwTxwZoglSaKpqckjRS3UcGWIBV9ZqfgWTtaE0Wjk\n6qsvYsuWH9m37wAORwqSpMXhqCIpqZFp0zJJSkrCZDLJJz4l1JuJsrRZuaG4MsRCNUysHXEtZeNQ\ntSFWGl1/ZE7bCjoET1ccz5TSjb68R6vVyu3VffU0hGyiO1lGNWw2m9zeXGSm1XzbxsZGTp48yaZN\n37N//3G0Wg0jRvTh4ovHB4VCBe65q/X19ezdu5eKigo2btxFVFQ25503AqOxE2ZzLRUVPxMTU8TN\nN//SqXiIt/jiiw38/HMa3bpluHzN0aPfMGNGKv369XP6d2dzEJ+l0Lr1FF4JJ8RmK4RulIZJHUTq\nswAAIABJREFUbcTCwZqor6+noqJCTsomJibKcXlROu4N1Bu7+ActFdhcOSpKIw20CDcptSpeffVV\nCgsLufnmm13KOLY23PF0O5TRFZ6DOyFzaNlBQezi1dXVxMbG+nz8rKurQ6/Xe5VZV/J8gRberXgQ\nw6kh6wzODLHJZKKwsIht24qoqmogOlrP2LEZDB06yONn7Qnl5eX8858bSEy8gpiYsylAFRWFxMX9\nl5tuutrjd6PW4BUbmHrxqw1YuD5jX8uLld+FONKH0hCL8Sn53oHCG0OsjikroTTS4rN7/PHHWb9+\nPceOHaNr16788pe/ZOzYsQEJmC9atIjHHntMfn1mZia7d+/2e97njNH1VFlms53R1lUnyfztHiG6\nJLhr/CfoNCJuazQaZX6j8MIsFoss/BJuuUVPEItRNHgUv9NoNC0Sdf5mpw8ePERe3jZstn4kJfVB\npzNiMlVTU7OfpKQTXH/9pW45mepElKvPz5lHDO7j3MGAmgbmi/fo7FqCfqcuhvDXEAdzfN7ez1uP\nWLxebDziu73uuuvIzc2loqKCY8eOcfToUdLT0z0KmOv1elnAvLy8XDa6ixcv5vjx4zzzzDNAc/gj\nEIfCndHtEDFdT4k0pYdpNBqdJsmCzfEVEDxfUVEkSdLp5JChRUwSzmSGbTZbq1ZBKSEWo7oiytvY\nqjeGOD39fP74xyR27drPjz9+TU2Nhc6do5k48QL69ctyG7oRrARJkjwmovyNcwdiiJWc4GAkytzF\niNVFKd4Y4nAmGpVzEKEEZwpszsJEDoeDbdu20bVrV3788Ud27dpFdHQ0GRkZZGRkBCxg7nA4yM/P\np1+/fsTGxrJs2TKmTZsW9LlDBzG60PIYIqCsJIuKinKbJAsGC0EJNfVMUKREKEEZVoiJiZELCpxl\nuIU3GQrCuSuIuLIrYRpXBHylIVZS15TzcHakT0hIYOzYkYwdO9Kr8QmhIYvF4ncoxtnid2aIRZsl\nXwyxON2EI5Hn6btwZYjFGA0GQ8hpat5AvSlarVa50adOp+PDDz/kyy+/pLy8nOzsbB566CEWLlzo\nU0LNlYB5My/ZzLp16ygtLWXGjBkUFhaGJFnXYYwutKymUSbJvEmQBcvTdabPcKa6p/mhFuWdamPh\nynsJ1JP0BYEYC2eL3x/qmqfxBVqx5WkOzgyxch5KrQZnXOhAdXiDNQ9Xhlg8T+K5FdStcLAmvIGy\niEU4LJ999hk//fQTq1atIisri507d7J9+/agaTwvXLiQRx99FIBBgwbRp08fdu7cyWWXBUcAXokO\nY3TFYrHb7bJqfWxsrNcx2kCMrmAeKOO2zvRtlYLdnoyFJ+9FGB4IzlE4FAUE4F7I21dDHOyjurfw\nhX8roNfrWyUR6gniMxexb/E7f0IToYB4BrVaLfHx8dTU1HD//fej0WhYu3at7HlefvnlXH755UG7\nr+hGImK8JpMpaGXnanQYoyuOItDMQfT1OBdIeEFQwMSDIgyxcmze6Nt6M0ZfiyCUR3p341fS7UId\n13MVWxXJIeFJqrUcxOmgtTi3SigNsRi70CXQas+01hHx/NYwYEq427D8CU0Eex5K71YwJ/Lz81m0\naBEPPvgg06dPD+lnds8991BZWckLL7zAl19+SVVVFSNGjAjJvTqM0RVGTShu+RPf87V7hFIWMC4u\nTq7YEbFaEReFs4VVggVPBkxQgJwtGAhPV2BPEKcUZcJMLHyLxSLrqALyxtJWjsLKRJQzymEoNBp8\ngZLZ4e137G+M2N95qMMxJpOJBx54gMrKStasWROUdu7OqGhKPPnkk8ycOZN+/frRt29f8vLyQqaa\n1mGMbnx8vGxklJUr3sIXT1cZtxWGQhRYeIrbhhquDJgryUWNRkNUVFRYsta+QIRrlMbM1TxaI+Ho\nrV6Cp9CEM+W1YBniYIZjQmGIlfkD0QJq69atLFiwgLvuuosbb7zRp/nPmzfPo4C5gDIUBJCUlMSa\nNWu8vlcg6BA8XUD27KqqqoiPj/f5AfOme4SaDWE0GrHZbC1UvgSH0mAwtDm+LdCCVSAMs5LvqVwo\nSnGTcMHXRJ4zvmeoE45KY+ZPhw5nCOY81MYsnJu+q3moDTEge7fR0dE0NTXxxBNPsH//flauXEn3\n7t3DMt5QocMXRwCy11BdXe20VtwTRGmmSIApITLmojZetHQX3qKyOEP5WfsSVw011NVazhaiMrsd\nzuIBAeUxMzo62u/7eGPA/NlQlHHHcBgzfwyxKAAK9DMMJtTzaJYmbRZpf+SRR+jduzcff/wxc+bM\n4U9/+lObGHOg6PDFEUooa7d9gavwgkiQiCSTq7itw+FocQz2Nq4azmOwJ4qVr5QvNVXKX/haHusJ\nnubhD/NDqZcQLhqYN1xoJZUQmo2uOCG0FeMl5iFJklzVGB0dLTsAa9euxeFwcP/99/P555/z2Wef\ntfaQQ4oOY3Q9VaV58353fFuhEepN3NZTXFUZxwvlMdiXai1XcJaoC1ZiSB0XDWX3XX+pa5IkyQUS\nwW7H7g+cGWKlWp1IJpvN5pA+W77AWTJv7969zJ8/n2uuuYZXXnkFrVZLY2MjxcXFPl9/zZo13Hnn\nnZSXlzNhwgRWrVpFp06duP322/nwww/lzr4DBgwIwex8R4cJL9jtzS2mvdFCcPX+6upqWWFJ9ENT\nUrMERCghUJ0EZ8cuCPw4700oIZhwJczibtErN4RgxUUDhbIazWq1tpArFIauLTAmBNQ0K/WGotZo\nUFYHhitmb7fbZXEpwQZYsWIFn3/+OStXrqR//8C6gZhMJnr16sXq1asZPnw4f/7zn4mPjyczM5N3\n3nmHt956i7y8PN59911++OGHgOfjLc6JmK4wuqLFjq90D7vdTlVVleyxqeO2cCYJJYx6KAyFuv5c\neNbKBe8uG+yN8Es44C4eKYx0WzsGCygTZc7UylorVKSEsohAyEN6greCP8EwxMrKQfE9Hzx4kLlz\n53LZZZfxwAMPBOXUUFZWxooVK1i8eDEATzzxBEVFRRQXFzN79mx++9vfYrVaOe+889i/fz/dunUL\n+J7e4JyI6QYSXhBxW6CFvq2I24pQQziKB3w9zgtjLIoKNBpNWKu1XEF9DBYbgti0dDqdfGIIV6LO\nE9wxJ1xRvlyFWIRId7ANsTvv1hOCWR3oDsr1Iros/+Mf/yA3N5cVK1YwfPhw7yfsAV27dpUNbmFh\nIS+++CKffPIJN910k6yxoNPpSElJoaSkJGxG1x06jNEV8KXIQRx9xANstVrl6qfW5tsKuOJ5Khe8\n8MrEohLjDzfdyxWUnmNcXFyLuagXvVJcJpzHeV/0Ejx9J0rOajDjquK7DqbmRDCV15TerThplZSU\nMHfuXIYNG8Y333wTstLaAwcOMGnSJJYvX87IkWeLJgVScRpsdBij64unq+TbGgwGOnXqJMe7amtr\n5YVhs9mcdrVtbYhFL+J1wisTMbxg6zL4C6VX5opzG8pEna9jFOWn/lzXV6aBL4ZYGaMPR583SfJd\neU2j0chdgIV3+8477/Dqq6+yZMkSxo4dG7KNs6ysjMmTJ7N8+XImT54MQGpqKkVFRYwbNw6LxUJJ\nSQlpaWkhub+v6DBGV8Cdp6tWHxPegtjJY2JiWng8wrC5anHeGnAnTCMk8AScKWOFIxYZiHiOLxVc\ngXiRyjGGQq1MzMWd0peyc7OzmL2gWIVyjN7Ow5khFt+JYEsALFmyhF27dlFeXk5aWhoffPBByAsd\n7r33Xm655RYuuugiqqqq0Ol0TJ06lRdeeIFx48aRl5dHRkYGKSkpIR2Ht+hQRlc8GN7wbdX6tuo4\nVFswXmqIY7q3sWVPXqSybDMYHSDEGIUOb7C8MqUhFjQ8T16kO+3e1hDuVs7FWy60QFRUVJsQ+VFC\nfK6C4REbG4tGo6Fv3778/PPP9O7dm9LSUjIzM3n99de55pprfLq+uqWOq3Y6FRUV5ObmYrVaWbBg\nAQATJ07kyy+/ZMeOHWRlZcmUsbaCDsNeAORjT21trVyDrYzbiuIGYXxEKEIc3bwVBPGHIhUIvDmm\nB3JtVywDtSH2dJ1wiXa7gqfsvBCOb6ttkaBlwlEk48RclJtPa1c5Kj1wo9FIVVUV9913H0ajkSVL\nltCpUyfgTIm5L41b33rrLX7/+98jSWda6gS7nU6ocU6wF6Bl9whXcVulF+FtpZaz+7jzvFzFVH2N\nFyoTE6GqhPK1Cs3Zgle29GnN+Le7pJDyCCxONkrmRFswvkoPXJ1wVJ9SWqvKUZTviviyVqvlP//5\nD48//jgLFy7k6quvdloK7wuctdRxOMLXTifU6FBGV8DhcFBdXY1OpzsrbgtnjsDBpFcpjZda61Yc\nf33RVlVm/MN9BPZFLlL8rS0K/IixiO9AJMrUG2Rr827VWX9nimWeYt3hmIsI0Yl1VVdXx0MPPUR9\nfT2ff/45ycnJAd8DmhXR1F6sJIWvnU6o0aHCCyaTidraWmy2Zn1bEbcVUo/KuK2zvl+hhjdhCZEF\nbk2amieIUILZbG7RTDMc7YR8gbcFBOJ7UXfYDcdc1BVbgToAoZiLM4bHd999x8MPP8zdd9/N9ddf\nH5LvWKPRUFFRQVJS0llyrdnZ2TzzzDMhaacTDJwz4QVhqOrr62VDIObeVsS6XYUlnHUGFovHXxpT\nKKAs33V2BFYmt1qLtuargI4n3q2viTpv4EyPIBjfsT9zcWeI1e1zGhsbWbhwIYcPH+ajjz4iNTU1\n4DF7g3C20wk1OpTRFW3NdTqdU75tW6jUUkMZFxWGTIzZVVgiVNVO7uCNnoM38WFfypp9hfKYHijF\nyp9Yt7ebijJ0FI5n0hOHWEldUz5fgtYmEtDbt2/nvvvu47bbbmPJkiVhjd2Hs51OqNGhwgs333wz\nx48fZ8SIEcTFxfHTTz/x1FNPERMTg81mc8qHbM2iB2+FabwJS4RKvERtyIQWQSDXc8YyCLT7g5pO\nF47NVV00IL4bV5tKW2B4uIOSd2uxWABYu3Ytb7zxBgaDgePHj/Pyyy+TnZ0dlvFotVqZvXDy5Elm\nzpzJhg0b6Nu3LytXrmTMmDFhGYc/cBde6FBG1+FwsGnTJu68806Ki4uZMGECx44do1+/fmRnZzNm\nzBj69OkDnOk00RoeZDCEaZRhCWf0KH/YEmooPbJQKoG5o6152lTamiFzt6kITrRoTdOWDC64bp+z\ndOlSJEnCZDKxfft2cnJyWLJkic/XV3Nvm5qa2qz8YqA4Z2K6kiRRV1fH7Nmzuf3222XB8X379rF5\n82ZeeeUVdu/ejcFgYMSIEWRnZzNq1CgSExOd1ssrva5gQUmvCuRoqT4yqmUJAwlLhJIX7M1cxBjU\nlVvQclMB2gRVTQl1TFV8lk1NTXJsWRSPtKWko812puNEXFwcdrudZcuW8fXXX7Ny5UoyMjLk+Yiu\n275Ayb0VeOWVV9i3bx87duwgLy+PnJycsMovthY6lKfrDRwOB3V1dWzbto3NmzezdetWSktL6dWr\nFyNHjmT06NEMHDiwBSkdAu+UIJgTNpstoBp/X+BNJlvpQarLd72VDAwXlCEWi8UiZ7QD/W5CBXft\nh5xpKStjqsq5hJp3q+6nduDAAebNm8ekSZO49957g0JXrK+vp6KigvT0dJmRMGnSJGa3ovxiKHHO\nhBf8hd1u5/Dhw2zevJktW7ZQUFCAw+FgyJAhjBw5kjFjxtCtW7cWx0ZvS2eVD3VbqIJyFZZQcm7b\nQocEV1C2zTEajU5DE8Esa/YHypOCL7Q/b/Vug7URqrngAH//+9/Jy8vjb3/7G0OGDAnKfZRQ0sAG\nDx7Myy+/zLhx4wDIyMggNzc3qNKPrYVzJrzgLzQaDenp6aSnp3PjjTfKhnLnzp1s2bKFRx99lMOH\nD5OcnEx2djajR49m2LBhcu25K2qUeKi1Wm2bOv4qj/J2u13eFIRn1RbYEmq400vwlh7lS1mzv1BS\nrHz9zt1V1Im5BKP4wRldrbi4mDvvvJNRo0axbt06n8p2gwVx2uroiHi6XsLhcFBaWsqWLVvYsmUL\n27Ztw2QykZmZKYcl0tPTcTgc1NTUyHFQYeDaguFSQxlfVh5/fQ1LhBLBSDp68iCDoWOgLiAI1UnB\nE/vD0yapLsaQJIm33nqL1157jaVLlzJ69OiQjFtA6eleccUVzJo1i5kzZ2KxWOTwQltRAwsEkfBC\niGC1Wtm1a5ccltizZw9VVVWUl5fzzDPPMGnSJOLj450arlAk6byFP913PbElQiHAEir2hLqs2Znh\n8sWDVIY8hCELJ7xhf4gchdK7LS0tZf78+VxwwQU8+eSTPre48gdKo7t8+XLeeOMNcnNzycvL4/33\n3+8wibSI0Q0DDh48yMUXX8yECROYPn06e/bsYevWrZw8eZL09HSZspaRkSEXPwjDFYpCAWcIhteo\nvJYnw+Wvd+8suROupKM7LrQ6PqwUf2lrcXB1mEU0Pd26dSvr16/HYDDwxRdfsGTJEiZOnBi2jULJ\nvbVYLNx22238+9//liljAwcODMs4Qo2I0Q0D7HY7BQUFZyUB7HY7hYWFsjf8008/odVqGTp0qBwf\nTk5ObnFkDAWVKBzddz2FJbwpnfWn4WKo4IxhAGdiyFarFb1e3yrerTdQC+no9Xp++OEHli1bxr59\n+6ioqCAqKor58+dz3333BXQv9feUm5vLddddF9A12zMiRrcNweFw0NDQwPbt29myZQvff/89x44d\nIyUlReYNDxkyBJ1OF5Sih3C3Y1fDmTcMZ4cllLrGbc1rVEIkTsXmqNTKCMdpxVuoE48ajYYvv/yS\np556isWLF3PVVVcBcPjwYcxms8zD9RcajYaioiJZ9UvdCOBcQ7s0uq+99hrLli2TxcjVqKqqYt68\neeTk5ADN5YpXXnmlvAjaU7WLw+GguLhYTtLt2LGDpqYmBg0aJFPWevTocRZlzV3ZbLDLd4MFV2EJ\naF64UVFRbTLp6OrzDFVZcyAQMWYRQqqtrWXBggVYLBZeeOEFWTQmmNBoNIwePZpdu3YxadIkVq1a\nRVxcXNDv017QLo3u6tWrSU9PZ8KECU7/vn79eg4dOkROTg41NTUMHjyY4uJieQG/+OKL5Obm8uab\nb5KXl8e7777broL0TU1N/Pjjj7IhLiwsJDExkaysLEaPHk1WVhbR0dFnHeOFF9zU1BTSUEIwYLOd\n0eYVilH+hiVCCaXXKApb3CGQsuZAxyk+T/G9b9y4kUceeYT777+f3/zmNyH7/DQaDQsXLuTmm2/m\nrrvuYuDAgfzlL38Jyb3aA9qt0T3//PO55JJLnP5daXRvvfVWbDYbr732muzpdrRqF4fDQWVlJVu3\nbmXz5s388MMP1NTUyLoSo0ePJi0tTe4LJTyrtnbsFXPxJGvobVgi1NVa6pbigSQePWllBMJmUbfP\nMZlMLFq0iJKSEl566aWQP/dCVwLgs88+45lnnmHDhg0hvWdbRocujli7di3ffvst33zzDa+99pr8\n+5KSEnr37g00x9tSUlIoKSlpt0ZXkiSSk5OZMmUKU6ZMAZB1JTZt2sSDDz7I5s2bGTlyJKNGjZL/\nm5iYKLemaS2urRLK0lh3xQOSJKHX673qXhGKY7zSuw2G/KInqUh/Cx+UDApRNPL999/zwAMPcMcd\ndzBz5sywJCOPHj0qr7eGhoZWKa5oL2jXRre6uprFixfz9ttvYzQa3b62I1a7aLVaBgwYQFFRESdO\nnGDNmjWMGDFC1pV4++23KS0tpWfPnnKSbtCgQUiS5FREJpTeo7+lsQJic1AuZm+Fxn0xOmpanbPW\nOcGCp27NyvY7zsqa1e1zmpqa+Mtf/sLPP//M+++/T69evUIybjWKi4sZMGAAn376Kb169eK5557j\nhhtuCMu92yPatdGtqanhyJEjXHXVVbJBHTZsGP/9739JTU2lqKiIcePGYbFYKCkpIS0trZVHHBpM\nnjyZSZMmyYv30ksv5dJLLwVa6kp88MEHPProo7KuRFZWFmPGjCElJaVFPDDY3qOyeCCY5dCevEe1\n0LgnURxlMUZrCN6rFcrA9cYinIjCwkK6du3KyZMnufvuu/nd737H008/HVaqXY8ePXjppZeYNWsW\n9fX1/O53v+POO+8M2/3bG9q10e3cuTNFRUVAs9c7dOhQ1qxZA8DUqVN54YUXGDduHHl5eWRkZHSI\n8kJnEB6Tq7+505VYtGhRC12JUaNGMXz4cLRabcDaBe70EkIFX7xHZQGH1WptM5q8Sqg3FuHdCu/3\nvffe46233sJkMnHRRRdRU1PDwYMHZd3ocGHWrFnMmjUrrPdsr2i3RtfhcBAXFycfoaqqqpAkSfZm\n58yZIyeVBGXMW3hLV+vSpQt33nkn5eXlTJgwgVWrVtGlS5c2TVeTJAmj0cjYsWMZO3Ys0FJXYv36\n9Tz33HM0NDSQmZkpJ+mEroQ3LXfCeUT3Zr7uvEeLxdKi6EEUd7RWibYrONN22LdvHwUFBTzwwANc\ne+21bN++ne+//56KioqAje769euZM2cOlZWV/OEPf+DJJ58M0kwiaNPshaVLl7o1fPPnzw/J7uoN\nXW337t0sXLiQ1atXM3z4cP785z8THx/Piy++2O7panC2rsT+/fuJjY0lKyuL7OxssrOziY+Pl42U\n8IaF1yjoam2VIO+sS4IrUZzW1upV6/I6HA5efvllPvroI1566SUGDRoU9Pv16NGD5557juzsbKZN\nm8Zzzz0nJ3Aj8Ix2SRlrTXhDV9u6dSv19fUsXrwYgCeeeIKDBw/y97//nSuuuIKbbrqpw9DVoNlI\nVVdX8/3338vi70pdiWHDhlFQUMDIkSO58MIL5Rh7OCle3sJmO9MlQS0uLtAWih6caVAcPnyYuXPn\nMn78eB566KGQVO5t2rSJ2bNns3//fgCeffZZioqKWLlyZdDv1VHRoSljrYVu3brJ1XCFhYW8+OKL\nfPrppwAcP368Q9HVoPmYnpiYyBVXXMEVV1wBnNGV+Oc//8m1115Leno6X375JRkZGXJYokuXLmGh\neHkDX4R0fElq+RPv9gTlxiAqu1avXs2bb77JsmXLQtocUkm3hOZE2bfffhuy+51riBjdAHHgwAEm\nTZrE8uXLycrKcvqajkhXg+akVa9evVi/fj2vv/46U6dObaEr8ec//5mSkhJSUlJk3vDQoUPPStKF\no0Ozt/xgdwg2W8IZnG0MJ06c4K677qJ///6sW7fOIz0y2Oioz29rIWJ0A0BZWRmTJ09m+fLlTJ48\nWf79uURXMxgMfPfdd7JRiY2NZcKECXI8XKkr8cUXX/Dkk0+20JUYNWoUvXv3ljtYBKMzghKhFhcP\nlGurhJKyFhcXhyRJcuucv/71r4wfPz4sp4LU1FQOHjwo/3z48GG6d+8e8vueK4gY3QBw7733csst\nt3DRRRdRVVUl81BDTVdra5lld4ZAkiR69uxJz549mTFjBtCsK1FQUMDWrVv5f//v/1FYWEinTp1a\nVNNFRUXJ3qO/lXTK4oFwtUvyJywh2rMrKWuVlZXcfffddO3ala+//pr4+PiQj11g1KhR1NXV8c9/\n/pNx48axatUqnn/++bDdv6MjkkhzAk+JtPz8fLZv386CBQtkuhHAxIkTWbduXUjFmTtiZtmdroRo\nhSSSc94wC9qyuLiAUjC9qakJgH379vH888+TlpZGfn4+zz77LFOnTm2V5GN+fr68sd9yyy08/fTT\nYR9De0aEveAjWpOu5gnnSmZZ6EoIytru3bsxGAyMGDFCLuLo3LnzWcwCQVkTwi9tiWurhFJMx2Aw\noNfrOXLkCE888QRFRUU0NTWxZ88eLr/8cj7++GOvr+stx/ymm25q8ftzXXQ82IiwF3xETk6OzExo\nazhXMstCV2LAgAHccsstOBwOamtr2bZtG1u2bOHtt9/mxIkT9OrVi+zsbPr378+GDRu4/vrr6dWr\nF1arldra2rAk6XyFqNRzOBzExsai0WjIz89n0aJFLFiwgGuuuQZJkmhsbKS4uNina0uSxLJly9xy\nzEW8Vi06HkF4EDG67RznSmZZkiQSEhK47LLLuOyyy4AzuhJLly7lscceIysri+3bt9O/f385LJGW\nluYySRdusXRnUpENDQ088sgjVFZWsmbNGrp06SK/3mg00rdvX7/u4w5ivr/97W8jouOtgNbf9iPw\nCZHM8hloNBqSkpLYsWMHX331Ffn5+axZs4aZM2dSVVXF4sWLufLKK5k1axYvvfQSO3fuxOFwoNVq\nZR5sTU0NdXV1mEwmLBaLrMccbIjW52azmdjYWAwGA1u2bGHKlClcfPHFvPfeey0MbighjPKkSZP4\n+eefsVqtkZhtGBHxdNsZIpnllujUqRMbN26Uf3amK3HixAm2bNnChg0beP7551voSowaNYoLLrhA\n1osIRfmvsn1OTEwMZrOZJ554gv379/Phhx+GfdMUspAi1PKHP/yBZ555JqxjOJcR8XTbGfR6Pbm5\nuTz77LNcfPHFXHPNNSFnLqxZs4Y+ffqQkJDA1VdfTXl5OU1NTdxyyy0kJSUxcuRIdu/eHdIx+AtJ\nkkhNTeWaa67h6aef5uuvv2bDhg3cddddSJLE8uXLmTJlCtdddx1//etf+e6772hqakKv18tylzU1\nNdTW1mIymWTD7E1IR3i3jY2NxMTEYDQaKSgoYMqUKWRkZPDRRx+12inl6NGj8v9HRMfDi4in2w4x\nceJE9u7dG5Z7mUwmcnJyWgj7LF68mMzMTPbu3cuOHTvIy8sjJyen3Yj66HQ6hg4dytChQ5kzZ85Z\nuhL/+Mc/WuhKjBo1iv79+8vMCLX4u7MknbJ9TlxcHFarlaeeeootW7bw5ptvhl16UYmjR49GRMdb\nERHKWARuUVZWxooVK1oI+xQVFVFcXNyhetCpYbfbOXDggCzu8+OPP6LVahk2bFgLXQmhsqZM0olG\nlFFRUURHR7Nnzx7mzZvHtddey9y5c0Mqju4Nx/zw4cNIksRDDz0ki44vXbq0zTYwbY9PVtQnAAAE\n30lEQVSI8HQjCAoKCwsZP348n3zyCTfddBMvv/wy48aNAyAjI4Pc3FyGDx/eyqMMDRwORwtdia1b\nt3Ls2DFSUlJkqUubzUZpaSlXXnklVVVVjBw5kn79+lFRUcF9993Hb37zm5CXg7dljvm5hAhPN4KA\noRT2GTly5Fl/7+jUNUmSXOpK5Ofn88ADD1BYWMiECRPYvHkzvXv3ZtSoUQwYMIAuXbqwdu1annrq\nKYqKioiOjnZ5H2+LG3Jycti1axfjx4+nsLCQpKQkoJkGtmHDhjYpoB9BMyJGNwKPcCbscy6J+riC\n0JU4cOAAgwcPZt26dcTGxlJQUMAbb7zB/PnzmTp1qvx6h8PhkQXhTXHDoUOHePvtt5k5c+ZZ13vl\nlVfYt29fu4y1nyuIhBci8IhZs2YxcOBAOemk0+lYtWoVb7zxBrm5ueTl5fH++++fs4vbZrMFLR7q\njYD+oUOHmDFjBuXl5aSnp1NRUSF7upMmTerQsfb2AnfhhQhlLAK3qKioIDc3lwULFtC5c2eSkpKY\nNm0ac+bMYeDAgWRlZfHuu+/y2muvhXwsa9eulRkCbYmy1hoJqJiYmBbl4ALKMnGlgH4EbQeR8EIE\nbpGcnCyrYKmxatUqVq1aFZZx1NTUcOutt8rH6cgx2jt09Fh7e0TE042gXeCee+7hF7/4hfzzxx9/\nzB133MH555/PvHnz2L9/P6Wlpa04wrYBEWsHztlYe1tHxOhG0Oaxdu1avv32W5588knZa3PVh+5c\nhxDQLyoqYsmSJUEX0I8gcETCCxG0adTU1PDHP/6Rd955B4PB4PJ158oxWj1Hdb5mzpw57Nixg6ys\nLJkyFkHbQsToRtCm8dFHH3H06FGuuuoq2eAMHTq0Q1PW5s2b57G4QUAI9Ajo9fqwxtoj8B0RylgE\nbRr19fVUVlYCUF1dzdChQykuLuZf//pXm6esBVrosGjRIh577DH59ZmZmW1WWCiClohUpEXQbhEb\nGyt3NaiqqkKSJNLS0trFMTrQQgdJkrjttttk2UVl6/cI2i8iibQI2g0SExPl47Q4Rp86dYrt27cH\nrfGnM2zatImMjAzi4+OZPXu23EzSG56wN4fF6dOnc/DgwbNe63A4yM/Pp1+/fgwbNoz//Oc/QZlP\nBK2LyNYZQQQeMHv2bG6//XZ+/etfM2PGDPLy8qioqAiatKWrQgdJkjCbzaxbt47S0lJmzJhBYWGh\n3NcsgvaJiKcbQQRusHPnTurr65k/fz69evViw4YN3HDDDXzyySf83//9X0h5wgsXLuTgwYMMGjSI\nX/ziF/Tp04edO3cG9R4RhB8RoxtBBG5w+PBhYmJiuOyyy+jZsyezZ8+mvLw8LOW2DQ0NnDx5Uv7Z\nZDK5pc1FEEEEEXQEXAeUANcCA4D3gL8DPwEXKV63Fxihem8O4Fy5phmXnH6NgB1IUvy8EngfSAVm\nA8WAa13ICNoFIp5uBBG4RwlwGPgA2A28BgwEjgPpp1+jB9JOv9YXqGlF6qzbg0As8D9gHvAbwOTj\nPSJoY4gk0iKIwD2+B3oD04EdwG3At8ARYC6wiWZjuA844eT9S4EqF9dOBJYoflbLlZ0EJvs78Agi\niCCC9opLgF3AKWAVzUd8/en/PwVsp9n7jSCCCCKIIIIIIogggggiiCCCCCKIIIJQ4/8D7X/AI1N3\nWqcAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x10ba87a10>"
]
}
],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"matplotlib.rcParams.update({'font.size': 22})\n",
"\n",
"x = -x\n",
"\n",
"df_pc1 = pd.DataFrame(x.flatten(), index=df_matrix.index, columns=['PC1'])\n",
"df_pc1 = df_pc1.sort('PC1')\n",
"fig = plt.figure(figsize=(10, 30))\n",
"ax = fig.add_subplot(1,1,1)\n",
"ax.plot(df_pc1['PC1'], df_pc1.rank()['PC1'], 'd', markersize=16)\n",
"#yticks(df_pc1.rank()['PC1'], df_pc1.index)\n",
"for (_x, _y, _s) in zip(df_pc1['PC1'], df_pc1.rank()['PC1'], df_pc1.index):\n",
" plt.annotate(_s, (_x, _y), xytext=(_x + 1, _y - 0.2))\n",
"plt.title('Spectrum from Principal Component 1')\n",
"plt.axis([-60, 50, 0, 75])"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 23,
"text": [
"[-60, 50, 0, 75]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": 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8n3/+mQ8//NCp5mrKlCnUrVuXyZMnm275ySef5Mknn/RcOi8CPV3X7bVfxtq2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GwsYF7+58aNG1SrVo0WLVoQHx+v92ncuDFGo5HExESys7Np2bIlLVu21JO0itKTQEsIIUSZ17p1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\n3ufkyZPK0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5GlQyGEEKJAt26dCAycwIYNT2ArM3xg4FG6dp3O119vBiA5OZkrV64Aplmi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+bdpSyz6/4gEp6FFAIYQQD0iXLqM0xOUwZRinu3QZpTMzM3XJkiW1nZ2djo+PN84dOHCgVkpp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hWobeq+fv06K1asoFWrVnTu3Jm0tDT+85//mBwcPXHiRJYtW8axY8do0qQJXbt25YsvviAv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\nDw+Cg1sxZUokmZn+ermrawTBwa31DOv5FbdHYUlt2bKFv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zs0TSMvL48vv/ySH3/8kWee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\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UDx48KPD9nJ2d8133FBERwZdffsnKlSsJDQ3F0dERf39/3n77bZN6iYmJZtd2ZS2GNydr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FxOTg5r167FysoKa2trg70K9+zZw5YtWwzaNdcmQPv27SXQEkI8cCTQEsIC5OTkEBQUQXp6SIn1\n0tP9mTYtgCee8GDJkiUAWoqE1NRUxo4dC4CPjw+vvvqqNkVnbW1dpn74+/vj73//9lO0s7OjQ4cO\n+Pn5sWTJEqPUDQBbt27l5ZfNby/Ur18/tm/fft/6JIQQfycJtISwAOPHh3D27NuUvs+7wtmzAUye\nvJRt25b/Uaoo3Lx5k+XL9WVZWVm8+uqrZGdnA5T4NmF5rFu3js8//5xdu3ZhZWVVpmtWrFhBw4YN\ntcDwbgMGDGDAgAEltvEwbD8khPhnkkBLiAp28uQZIiIcAPPb7BhyJypKHzi5ublx6tQpQD/FtnLl\nSoKCgrSaRekY4uPjjdImJCUllXqn1atXk52dTb9+/XBxcWHx4sX88ssvTJo0iaVLlxrUjY2NNZmF\n/u61YUV69uzJY489ZlB27tw59u3bh5eXF7169SpTO0IIYckk0BKiggUFrSE52fRojzmpqf2AYHQ6\nHU5Of6zpujudw9WrVwHIy8vj/PnzBufMrbMaNmwYjz/+OKNGjWLGjBmkpKTQvHlz6tSpw+bNm/Hx\n8SE0NFSbEiwoKKBt27acPHmSHTt20Lt37zI9g6mRrPXr17Nv3z68vb1ZuHBhmdoRQghLJpnhhahg\n8+a9Rq1aa8p1TY0aX5RpOq1oL8ERI0YYZVwfOnSoUf0ff/yRjRs3MnPmTG1dV/H7PPnkk1rW97Fj\nx3L79m2srKy0gCkgIMBgwbs5N2/eNJlRfsSIEYB+8+m7zzk6OpbarhBCWBoJtISoYK1aNcPPLwMo\na0LOeHx9b5ap5unTpwGMMsaD6RGtPXv2APrF9EWjY3fXmzp1Ki+//DJ79+7VgrG33nqL+vXrc/Hi\nRbNrsYrT6XR4eXnh5eVF48aNtcPFxQWAqlWrGpQ3btwYLy+vMj2zEEJYEgm0hLAAoaEBeHuHAKXl\nxFLx9g5hypRXy9TuoUOHAHjqqadKrauqqrbnYJ8+fczWe+SRR9i6dSv/+te/AP3+hEuXLmXatGkA\nLF26VFsbZk7lypVp3Lgx169fZ9u2bfz888/8/PPPWsLVrl27amVFx/Hjx0t9BiGEsDSyRksIC2Bn\nZ8f8+b0ZOjSc9HTz6RUcHcMJDvbT9hK8fPmywSL34tvXXLhwgd9++w0bGxtat25dah92797NuXPn\nqFSpEv379y9Tv3///XeOHj3KsWPHuHHjBjNnzuTKlSuEhYUxceJEs9dFR0ezc+dOKlWqZBDUZWZm\nAvps93cv3gcYNWoUAQEBZeqbEEJYAgm0hLAQvXp1wtd3Gtu3d8F00tI0fH3P0LNnMOfOnQP0mzXf\nvci9aE1VUaoHHx8fbGxsAP3bhzk5Odja2mr5t4q25pk/fz4AL7zwglHm97S0NJN9jo6OBqBu3brY\n2toyYcIEJk2axLfffms20FJVlSVLlqAoCgUFBQb9L5qmvHHjBjdvGk+PXrt2zWSbQgghykcV4p8o\nNTVVbdRoqgqq0dGo0VQ1NTVVVVVVPXv2rKooiurp6Wm2rYYNG6qKoqjLly/XyqZPn64qiqIdOp1O\n3bt3r6qqqhocHKxWrlxZPX78uFb/ySefVBVFUa2trdU6deoYHfb29qqiKKq/v7+qqqqalZWlfvPN\nNyb74+7uriqKohYUFJjt8/r161VFUdT+/fuX/ZcmhBAVjBLWfcgaLSEsiJOTExMmNKVy5SiDcnv7\nSCZMaGaQyqE0X375Ja6urgbTgN27d6dZs2Y8+eSTtG7dmkmTJtGtWzdAv8g9NjYWHx8frf7SpUup\nX78+hYWFXL161ejIz8+nefPmWu6uqlWr8swzz5jsj6Iopb4pqZZjs2ohhHgQWGq6ZVX+4Ip/KlVV\nee65AKKiFgB2QA6+vlM5eDCk3BnS09PTH6i0CFlZWSQlJVGtWjXtDUQhhLB0d/42m/wDLYGWEBYo\nLi6eDh02k5AwDXf3YA4fHoy7e1kzxwshhPg7lRRoydShEBZr9wy2AAAgAElEQVTIw8OdIUOqY2u7\niSFDHEoMskJDQ9HpdEyaNMlsnY4dO6LT6fj222/vWx8nTJhAly5dOHny5H1rUwghHjYyoiWEhcrL\ny8PLqz3R0Ue0twYB/u///o+XXnpJ+5yRkUFKSgpOTk7UrFnTZFuXLl0iJycHNzc3LTUE/JEuYffu\n3SVunePu7s5XX33F+++/r5Vt2bKFgoICXnnlFW2DaUVRWLt2rcEU52uvvcbatWvL/wsoZu7cuUyf\nPv1PtSGEEH+Vkka0JL2DEBZqzpzVJCWNZd68NcyZ84ZWnpOTQ0xMjBbMFH0pSUtLM8ijVVxRnUuX\nLhmUF6VLcHNzY9iwYVqdgwcP4ubmRqdOnQCoWbMmiYmJbNy4ETDclmfLli0G9/jkk08MzteuXdts\nVvfbt28TGxuLlZUVDRo0MPu7MBdACiGEpZOpQyEsUFxcPJs2ZXLr1mA2bMggLu6P7XlatWpFYWGh\ntmdhSEgIABMnTiQvL8/oyM3N5dlnnwXg6NGjBvsdFmVib9q0KWvXrmXt2rWMHz8egBYtWmhlCxcu\n1AKpYcOGGe2bWFBQgJubm9Fi/d69e/PFF1/86d9HaGgoAwcO/NPtCCHE301GtISwMKqqMmJECAkJ\nCwBISAhgxIjS3zpcsmRJifsMlvbGooODA7m5uRQWFgIQERGBra0tiqIwadIkOnToAMCJEyeYMGGC\n0fWmkprGxsZqSU1N3b8oeCsoKCAmJsZkv4rqPEhvTwohRBEJtISwMGFh4Zw44Yc+tQOAHSdO9CYs\nLJwxY4y35+nZsyeurq5latvUtjZFXnrpJW7fvs3ly5c5dOgQderU0YIrb29vrd4vv/zCr7/+anS9\nqqomgylFUTh37hx5eXlG56pUqULDhg1xcXEhJiaG3377zajO7du3adOmTZmeTwghLI0EWkJYkLS0\nNEJDz5CdHWxQnp3didDQafj7dyEwMJBjx46V2I6iKGVK/unq6srXX38N6NdWgX7Pw0OHDtGyZUtt\nTVZqair/+9//AP3UoanF7R4eHkZrwIo/V9H0ZfE+Fn+Ow4cP06tXL6M6R44cKfU5hBDCUkmgJYQF\nGTlyMTExgSbPxcQEMnLkYrKyLhntb3i3oiCrtOnColGmZcuWcfz4cXJycrQ9EA8cOEDt2rVJTU0l\nPz+f1atXA3Dq1CktE3xxGRkZZoM7JycnfvzxR6Nye3t77ef27dubrGNqJEwIIR4UEmgJYSEiIiKJ\nimqG6Q2lAZyIimrKxo1dOHDggNl2cnNzsbOzo2bNmqSkpJTp3r/88gubN2/WAjN7e3tq165N3bp1\n8fT0xMvLi0cffRSAs2fP8tNPP5ls5+7Arl+/fiQmJlJYWEjz5s2N6n/33Xfaz0eOHDEa0QL47bff\nmD59Om5ukrBVCPHgkTxaQliAnJwcfHymcvZsCCX/b6ni7R3Ali2vsWbNGpM1CgoKWLZsGba2trz+\n+usm6yiKwtixY6lfvz6gX7SekpLCo48+irOzM1WrVjW6Jjc3l6SkpFKfxd3d3ajs1q1bLFu2zKgP\nr7zyCps3b6ZKlSo8//zzbN++3ajOhAkT0OnkBWkhhOWSLXiEsHCvvx7M6tWDgbKM2sTTs+dc9uzR\nr5Mq6W2+ks4dOnSI9u3bAyUvki+vKlWqGGSL//XXXwkNDb3n9hRFYfbs2Tg7O9+P7gkhxH0nCUuF\nsGAnT54hIsKBsgVZAO58+61+bVPPnj2JiIgwOHvr1i0qV65sduqwc+fOREZGGpQVT4BapPiXnbJu\nZq2qKlWqVDEou3LlCqtWrSrzAv27KYpCQECABFpCiAeSjGgJUcG6dXuL/fuXADal1v3DAeD5MgdA\nphQf0TJl6dKlBAYGUqlSJX799Vfq1at3T/cp65RjSerUqUOlSvK9UAhhmWRESwgLNm/ea5w+vYbk\n5DdKr3yHo+NuMjIUmjRpwtChQw3O5efnExQUROXKlZk5c6bRtWvWrOHChQsltr9+/XoCA/VvPw4f\nPvyeg6y/ckpSCCEeBDKiJYQFGDUqmFWrBgHGC8mN/bFG689MHZoa0bp9+zazZs3ivffeu6fnyMjI\noFq1atpnnU5XrinJks7Z29uTlZV1T/0SQoi/UkkjWvIqjxAWIDQ0AG/vEKC0Lxgq3t4hjB3bH9An\nF9XpdAZH5cqVAbh+/brROZ1OR2RkpMkpx4MHD9KiRQuDIOvRRx+lcePGpR5WVlYm2yy+J2PRsXDh\nQkC/kXVubq7BuaJ9G4cMGUJWVpbBOQmyhBAPIpk6FMIC2NnZMX9+b4YODSc93XibnSKOjuEEB/vR\nsKE7EydONFhgnp6ejpOTcQ6ugoIC8vPzsbH5Yw2YoijUrVsX0I8i9erVi6+++grQZ4t3dXXl+PHj\nTJkyhbfffrvU/ru4uHDt2rVS66WlpfHee++hKAozZswwWnd17do1dDodGzdu5NixY2zdupUWLVqU\n2q4QQlgqCbSEsBC9enXC13ca27d3wXTS0jR8fc/Qs2cwt2/f5t///jc//fQTx48f5+uvv+bChQt8\n++23RolBV61axRtvvEGDBg1o0qQJ3t7ePPXUU1SvXh3QB119+vTh5s2bvPbaa/j7+zN//nyOHz/O\nli1bOHXqVKl9L+to08iRI0lLS6NLly7079+fhIQEMjIySEtLIzExEUdHR9q0acPx48e5cOECzzzz\nDOvWrWPAgAFlal8IIUTZqEL8E6WmpqqNGk1VQTU6GjWaqqampqp9+/ZVraysVEVRDA5PT0917dq1\nRm2OGzdOdXd3V3U6ndE1s2fPNtmPWbNmaXV0Ol2pR1HdzMxMo7YCAwPVBg0aqK6urkb3N3fc3e7S\npUvv++9aCCHuF0pY9yEjWkJYECcnJyZMaEpgYBTZ2b5aub19JBMmNMPJyYnx48fz5ZdfUqtWLVq2\nbMnTTz9Nly5daN26tck2P/jgAz744AOysrI4deoUkZGRfP311/zwww/4+fmZvEZRFBRFYdGiRWWa\nOqxdu7bZ7X50Oh2//fab1iaAra0tNWrUwNnZGWdnZ1xcXKhduzaurq64u7tTr1493NzcePPNN4mI\niKBTp06l9kEIISyRvHUohIVRVZXnngsgKmoBYAfk4Os7lYMHQ7RAJT09HUdHxz91n+zsbG3h/F8p\nLi6OK1eu4ODggKOjI05OTtja2pb5+vj4eJPb+gghhKWQLXiEeMDExcXTocNmEhKm4e4ezOHDg3F3\nl02VhRDCEkl6ByEeMB4e7gwZUh1b200MGeJQriArNzdXS+Xw008/3Zf+dOvWDZ1OxwcffHBf2ivy\n9ddfa31NSEi4r20LIYQlkDVaQliod98dzcWLE5g1q3wbMqvFNpS+3yPDCxYsYMWKFWbPK4rCjh07\n8PLyKle7f2YrISGEsGQSaAlhgQoKChg6dAIbNoRiZWVlcM7FxcXswvPiVFU1SvVwtxdeeIFdu3aV\nuV8pKSml5svKzc0tc3tCCPGwu5epw65AIRBVhrptgW1AEpALXALWAQ3v4b5C/GPMmhXGtm0+zJ69\n0uictbU1lSpVMjqKRoVMjQ4pimLymvJu1BwaGmqU6f3uo2nTpvf20EII8RAqa6ClA+oAbwCf3ykr\nbU5iOPAN0AdwRj96VgcYCpwBOpazr0L8I8TFxbNpUya3bg1mw4YM4uLiDc5funSJvLw8g+P48ePU\nqFEDRVHYunWrVnfq1KkAVKtWjf379xtd9+WXX2p1z58/b3aLnW+//RaA4OBgs3WaNGlCdHT03/Ab\nEkKIB0dZv87OvHOUlScQhn4F/kkgCLgIPA68DzQCPgMaAL+Xo10hHmqqqjJiRAgJCQsASEgIYMQI\nw9QOd1u5ciUBAQHcunWLKVOm0Lt3b0A/iuXv74+9vT1BQUE8//zzTJs2jaCgIKytrY3ayc3NJSYm\nRrv2boqicO3aNZNTh0Vrwco7bVi8/vXr13FzkzcrhRAPl7KOaKl3/VuaAMAaSAa6AP8FzgM773zO\nBWoBw8raUSH+CcLCwjlxwg99/iwAO06c6E1YWLhR3e+//54OHTowZswYcnNzmTRpEgsWLNCCnqJ/\np02bxocffoiqqsydO5cnnniC//znP2YXyru4uJQ6PXj38dhjj93TgvakpCStr5GRkeW+XgghLF1Z\nA61QwAOoB5Tl/e7ed/5dD2Tede4S+oCreD0h/vHS0tIIDT1jkBEeIDu7E6GhZ0hLSwPgwIEDdO/e\nnaeeeoqjR49SuXJlVq1axfvvvw9gcq3W2LFj2bdvHy4uLly4cIGBAwfSpEkTwsLCyM7O/pue0Njp\n06e1n//73/9WWD+EEOKvUtZAKxNIAOIxDpzu5gC4oR/9+sZMnWN3/m1WxvsL8dAbOXIxMTGBJs/F\nxAQycuRiLl26RK9evdi/fz+KotCxY0d++OEH/v3vf2t1K1WqxIoVK1i+fDmurq5aeefOnTl37hzD\nhg1DURRiYmKYPHkyV65cMbhXUlKSltuqrEdiYuI9pZI4fPiw9nNUVBTJycnlbkMIISzZX5Heofgi\nizgzdS7d+fdRwAbI+wv6IcQDIyIikqioZoCTmRpOREU15cyZC4wbN46dO3cyb948srKyaNKkidl2\nx4wZY1T26aefMmrUKCZPnszQoUNp2NDwJWBbW1sGDBhQrv6Hh4eTk5NTrmv+7//+j3PnzmmfCwoK\n2Lx5c5n2VhRCiAfFXxFoVSn28w0zdW4W+7kqkPoX9EOIB0JOTg5BQRGkp4eUWC893Z9p0wI4dGgm\n7733HjqdjnXr1mFlZWV2fZSqqhQWFmqjTY6Ojnh6euLj42MwmlScg4MDa9euLdcz/Pe//y13oFWU\n+NTOzo4+ffqwZcsWPvjgA8aNG1futBNCCGGpKmoLHtnIUIg7xo8P4ezZtyl961GFs2cDmDo1DJ1O\n/7/u8OHDuX37tlHahry8PCIjIxk4cCDW1tZUqVKFKVOmEBsbS9u2bUu8y7Vr18ymcDB3pKSklGvq\nMDExkTVr1gDQo0cPAgP1U6aXLl1i3bp1ZW5HCCEs3V/xtbH4aFU1M3WqmqkvxD/KyZNniIgoWtZY\nFu7s3Fmd11//iZYtzScGbdCgAbGxsdStW5e5c+fy+uuvU7169TLdobCwkPPnzxuVF9/ax9S58rx1\nOG7cOPLy9CsGRo8ezZNPPkmPHj346quvmDZtGn379qVGjRplbk8IISzVvWww9i76nFqHgE4mzjui\nnwpUgb788YZhcQHAEuAa+jQPd1NnzZqlfejYsSMdO3a8h64KYdm6dXuL/fuXoF+qWFa2KEqeNqpl\nSmFhIUCJdQA8PT1NBlV3u3LlCnXr1sXBwUF7+/FeffbZZwwaNAiAVq1a8f333wNw9uxZWrZsSX5+\nPi+++CLbt2//U/cRQoi/yqFDhzh06JD2efbs2WAmpvorAi3QL4J3Q58KIsDE+W3oM8Z/DTxv4rx6\nvzfDFcISnTx5hp49vyU5+Y1yXGVFKfGTwTReSSNN7u7uxMbGlnrHy5cv4+bm9qcDrcOHD9OtWzdy\nc3OxsrLim2++wcfHRzs/depULU3FzJkzeffdd+/5XkII8Xe583fW5B/bv2qNVtEutUPRb79TXD2g\n552fI/6i+wvxQGjVqhl+fhnoM6eURTyvvz631ASilStXRlEU9u3bV2K92NhY4uLiSk3fUJSxPSMj\no9S6prLOA0RGRuLn56dlg58/f75BkAUwd+5cnn76aQDmzJnD/Pnz7+n3KoQQluKverUnBBiJPqfW\nAeAd4DfgCWAhf2SNl1Wv4h8vNDSA776bytmzIZQ8yKzi7R1CaOiC+3p/GxsbvLy8Shz5ys/P58KF\nC+h0Oho1alRie6beGFy5ciVjx46loKAA0K/Rmjx5sslrt2/fTtu2bbl48SIzZszg0qVLLFu2DCsr\nq3I+mRBCPJjeBQqB0vbLGA4U3Kl79/E74Gv+UlQh/kkiIg6qjo5bVVDNHo6OW9VduyJNXn/r1i2D\nn21sbFRFUdT9+/ffl/5dvnxZVRRFdXR0LNd1SUlJ6osvvqgqiqIqiqJaWVmpc+fOLfW62NhYtX79\n+tp1zzzzjBoXF3ev3RdCiL8UJWRTuJepw7IunloHPIt+MXwK+qSkV4CNwJNA1D3cW4iHUq9enfD1\nPQOYW/+Uhq/vGXr2NP39JDg4GBsbGx599FFq1arF7du3URQFZ+e7Z+7vjXoPayYLCgp49tln2blT\n/z6Mi4sLu3btIigoqNRrPT09OXbsGO3atQPg2LFjdOzYURsRE0KIB8W9BFqz71xnbiF8ccfQL3p3\nAWyBuug3ki79NSch/mFWrw6kUaPFJs81arSY1atNb88D0KFDB/Lz80lLS+PGjRtUrlxZS5tQUays\nrJg7dy6KojB8+HDOnTtH9+7dy3y9s7MzkZGRTJo0CSsrK0JCQmT6UAjxwLmXtw7/Duq9fIMW4kG3\nYsVWAgNrGWwsbW8fyaJF1xgzxr8Ce3bvzp8/b7TNT3nFxsZSr169+9QjIYS4v0p661ACLSEsiKqq\nPPdcAFFRCwA7IAdf36kcPBhSroSgQggh/j4Vkd5BCHEPFEVh7doA3Nz0+x66u4ewbt3bEmQJIcQD\nSgItISyMh4c7Q4ZUx9Z2E0OGOODuXtbtef4cnU6HnZ3dfW3z8OHDeHp68vbbb5s8369fP5o2bUpk\nZCTvvvsufn5+WlZ7IYR4GEigJYQFKSgoYPDgt5gxYyQvvfQ9s2aNAuDTTz81mRy0efPm2rUdO3bE\nxcWlxKNu3bol3v/ukbN333231ASlOp1O2xT6bvHx8cTHx5OSkmLy3I4dO4iNjaV58+Zcu3aNXbt2\naZtNCyHEw+CvSlgqhLgHs2aFsW2bD/XqreHTTz/Syh0cHAySiv7+++9cunTJIDC6fv06KSkpuLm5\nmR2ZMpe13Zzq1avj6uoKwI0bN8jMzMTBwYEqVaoAkJmZyY0bN8ze7/LlywBaZvniQkJCKCwsZNiw\nYTg6OjJr1izWrl3L7NmzefXVV+/76JoQQlQECbSEsBBxcfFs2pTJrVtvsmFDMCNGxOPh4Q5Az549\n6dmzp1b38OHD+Pqazqn1xBNPmM2fNXPmTO3nL774gpdfftng/K1bt7SNqN3d3bl48SIBAfrtSl95\n5RW2bt3Kpk2beOGFFwB45513WLhwIdWqVdPaaNy4Mfn5+QDavoirV68mPDwc0I+arVq1iuXLl2Nj\nY6NliHd2dmb8+PHY29tr1wshxINOAi0hLICqqowYEUJCgn57nYSEAEaMMP+2YUlv5e7du9dkuaIo\njBkzBk9PTwDs7e2pU6eO1n7R6FPRCNZjjz2mXRsfH8+XX36JnZ2dQYBXNCVYq1Ytrey3337T1lkV\n9TMtLc1gM+qJEydqwZSHh4dRX2fNmgVAnTp1uHTpktlnFUIISyeBlhAWICwsnBMn/NCndACw48SJ\n3oSFhTNmjD/nz583CHCKNmY25ZtvvtE2Zi5J9+7dDYIYnU6Hra0tCQkJBvUyMjLo06cPubm5jBo1\nCp1Ox61bt8jKyuLYsWMABvsfpqWloaoqKSkpNGrUCCsrKxISErC3twdg48aNjBs3DtDvbdigQQMA\nEhMTycrKwsXFBQcHB0CfTV4IIR5kEmgJUcHS0tIIDT1DdnawQXl2didCQ6fh79+FxMREEhMTy9Re\nWXPQnTx5koyMDIOywsJCDh48qLWhqiqjR4/m4sWLeHp6Mn/+fE6cOGEQ9Dk7O9O6dWvtc9WqVQG0\nqcInn3yS2rVrA3DmzBneeecdra6rqys///wzAMOHD2fDhg0EBQXxxhtvlOkZhBDC0kmgJUQFGzly\nMTExpt/ai4kJZOTIxQwYoH+70N3dnU8++UQ7XxTUFPfss8+avdd3332Hj48PABMmTNBGpIrk5eXR\npUsX7fOaNWtITU2lYcOGRERE4OTkxJNPPskTTzxBtWrV8PLy4q233jK5Nc6qVasAeOmllwB9EPfS\nSy+RnZ3N448/rgVYRYoHd0II8bCQQEuIChQREUlUVDPAyUwNJ6KimuLs/A2g32y5U6eStxnt2rUr\njz76qMlzxRfJt2vXDienP+576tQpEhMTad26tbbmysfHhz179tC0aVMtqKtevTpnz54tsQ+nT5/m\n5MmTWFtb06dPH/r06UODBg2YOnUqS5YsYdWqVbRr147Lly/TuHFjAJKSkgCYN28eH330EYqisGvX\nLm1qUQghHkQSaAlRQXJycggKiiA9PaTEeunp/mzfrq9TNAV3dzupqana4vJRo0YZTOUVp6oq169f\np2bNmrz33nvk5ubyyCOPADBgwADCw8OZPn06vXv31q4ZNGgQJ06cMNs/RVGIjIw0yNH14YcfAuDn\n58evv/7Kzp07adWqFYsWLaJv375cuXIFgPz8fM6fP6/1DSA5OVlbZJ+Xl1fi70YIISydBFpCVJDx\n40M4e/ZtSt9yVCElpSHwP/bu3auNAAHY2NgwceJEhg8frpX17du3xNY6dOhAVFQUAG+++SZbt241\neFPx7qm7K1euEBsba/btR0VRuH37tlYWGxvLpk2bUBSF0aNH8+WXXwL6xfcAjo6OWqDl4eFBbGws\n8McarY8//ljWaAkhHhoSaAlRAU6ePENEhANQ1u11bgH6BKGZmZmAPsh55JFH8Pb2ZuLEiaxfv57U\n1FQGDhzIDz/8QExMDC+++KI29VYUFNWvX19r9dq1a+Tk5GhvBII+tULR1N3OnTu18vPnz1OvXj2D\nXnXs2JEjR44YlM2dO5eCggKeffZZfH19GTJkCIqi0L9//xKfUNZmCSEeRhJoCVEBgoLWkJy8pBxX\nfAHk0aXLRPbt+4iUlBRcXFzQ6XS0aNGCFi1asHfvXtLS0njzzTc5duwYkydPxtXVlYULF1JYWMiM\nGTN45ZVXeOKJJ7RWi6boiqdR+OmnnwCMRqrKIi0tjc2bN6MoCu+//z5Hjx4lMTERb29v/vWvf5Wp\nDQm4hBAPE9nrUIgKMG/ea9SqVb49/VxcVjN//khAn8EdMHrbryhI6dOnD6DPWXXmzBl69OjBggUL\n8PX15dq1a1r9ixcvApCdna2VhYWFceHCBc6fP2+Q8b0sAZCTkxPLly/npZde4qmnnmLlypUADBs2\njB07drB582aD+nFxcdp+iRs3bgTgrbfe0srufjNRCCEeNDKiJUQFaNWqGX5+e1i1Kh5wL8MV8fTu\nnUnLlk0B/QJ40K/RMqV+/fp06tSJyMhIWrRogaqqODg4sGzZMu2NxJs3b2ojWiNHjtTKXVxcjKYI\nARo2bFimZ3vttdcYOnQoiYmJfP755zg4OPDKK6/QsGFDrK2ttXQPUHrC0qKF+kII8aCSES0hKkho\naADe3iFAaSNFKt7eIYSGBmglWVlZQMmBSNG+hqqq4unpya+//mqwTur//u//AP1G04cPHyYiIsJk\nO87Ozri6upZ4VKpk+J3N2tqaRYsWkZ+fz7hx46hVqxaDBg0iPT2drVu3agvrixKW/vzzz9ooXFBQ\nkFZWfD2ZEEI8iCTQEqKC2NnZMX9+bxwdw0us5+gYTnCwH3Z2dlpZ0b6Exaf2ily4cIHp06ezfft2\nxowZA+inCIcOHapdB/rkpaBPXNqgQQMtlcLdU4Th4eEkJCSUeLi5GS7qj4+PZ8WKFTg4ONCnTx/2\n7dunbVZdNEV4N0lYKoQQfx9ViH+Kvn2nqpCqgmriSFX79p2qZmRkqD/++KOamJioRkdHq35+fqqi\nKGq7du3UgoIC9fvvv1ddXV1VRVG0w8PDQ83Pz1f79++vlVWuXFl9//3379y3r6ooihoREaH++OOP\natWqVVVFUdQGDRqoCxYsUI8fP66mpKSohYWFZXqOonpTpkxRvby8DPpS/KhUqZJ6+PBhVVEU1dra\nWvXy8lK9vLzUatWqqYqiqC4uLlpZv379/rLfuxBC3C+UMDUha7SEqGCrVwdy7txiYmKCjc41arSY\n1asDSUxMpEWLFkbnn3rqKWbOnElw8B/X1qhRg0GDBjF27FisrKwIDw9nzpw5zJ07l5ycHHJzc7l1\n6xb79+9Hp9PRtm1batasyZEjR3jrrbf49ttvmTZtmtaeTqejevXqVKlSBRsbG21dWGFhIXl5efz+\n++9kZmby1Vdf4evry+XLl4mJieGRRx7h8ccfp2XLlrRp04Y2bdqwcuVKwsLC2LVrF2CYsBT0bzqm\npKRoa8dMjdgJIcSDpLRMiRXlToAoxD/DihVbCQysRXb2H5s129tHsmjRNcaM8Sc/P5/HHnuMjIwM\ndDodzs7OtG/fno8//pjU1FS6dOlC165d8fPzo3PnzkZrpkC/xc78+fP59NNPuX79Os888wzOzs6c\nPHnSoN7333/P7t27OXXqFCkpKWRlZZGdnc2tW7fIy8vj9u3bFBQUUFBQgKqq2lRfdHQ0DRo0IDo6\nmry8PB5//HGjtyJjYmJISEjgkUceoUOHDgYJS4UQ4kF1Z92pyZhKAi0hLICqqjz3XABRUQsAOyAH\nX9+pHDwYYjIj+/2QmZnJqVOn8PX1Lb2yEEIIs0oKtGQxvBAWQFEU1q4NwM1Nv6ehu3sI69a9bRRk\nnfp/9u47LKpj7wP4d5aOghSVLiAK2LCLxhBEY65RwRYlxoKSEMXYUMwb1FyisSuCSVQUIxqisRuJ\nGjUilhglsSEGFUGKSBFhKcLSlnn/IHt03V2KUUHu7/M853ndmTlz5pz3xufnnDm/uXbtpS0Wb9Gi\nBdzc3IRZsvHjx7+UfutClifr2fxdhBDSFFGgRUgjYWNjjcmTW0BbOwKTJxvA2lr+S77Y2Fj06tUL\n1tbWWL16NYqLi3HlyhUhaKntCAwMlOsvKSkJd+/eFX7LgrobN25gz549SvuQret6/ti5c2e975cx\nRl8YEkKaPFoMT0gjIZVKkZQUj9GjGQIDNyjU6+rqYtq0adizZw8CAgJw6dIlrFixAg4ODnIzX0lJ\nSaioqBDK8/Ly8OjRI7n9DKuqqtCjRw988MEHWL9+vcjX254AACAASURBVFBeWFiIHj16ICAgABMm\nTIC6ujoYY7h58yauX78ONTU1eHl5Cde7ffs2YmJilL7e7NevHx48eKDyfjnnsLe3V3ouYwyHDx9G\nr1696vbwCCGkkaIZLUIaicDAUBw+3A92doqLyIHqzOybN29GcnIy/Pz84OXlhY4dO+Kvv/4SEnzG\nx8dDQ0MDzZo1w+3btxEfH4+5c+cCgFygJfva8Pfff5e7xtWrVwEAY8eORUFBAaRSKdauXYsPPvgA\nnHNoaGhAKpXC1NQUmzdvxoQJE1TeT2ZmJjIyMpCZmalwyGRlZSnUZWRk4OHDh0JeL0IIeZNRoEVI\nI5CSkoqIiAKUlk7Ezp35SElJlaufP38+XF1dERQUhLKyMgQFBQmZ1AcPHox27dpBKpXizp07KCkp\ngaOjo3BuQUEBAODixYt4++23cevWLQDVqSHu3bsHsVgstJXNTjk4OGDs2LGIjIzE2rVrhXrGGHr2\n7ImgoCBs2KA46/Y8xhgePHggfKUoO2R1RUVFCnXvvPPOCz5FQghpfCjQIqSBcc7h7R2MtLTqLXbS\n0vzg7R0slym9uLgY8fHxWLBgAaysrHDo0CEA1cFTTEwMevbsCTU1NezduxcAMGjQIKF/WSBlZGSE\nP/74A1u3bgUAdO3aFUD1mizZdc6fP4+OHTtCR0cHkyZNwqlTp5CcnCw3uzRnzhwcOXIEaWlpyM/P\nr9P9vUgdIYQ0BRRoEdLAQkP3ISZmBKrTOgCADmJiPBAaWr01D2MMoaGhyMrKwu7du9GtWzf07dsX\nBQUFmDhxItTV1bF48WKkpaUhODgYampq8Pb2FvqXJf/08PCArq4udu/eDalUiu7du6N79+5yrxS7\nd+8OFxcXAMDJkycxadIk/Pzzz0hNrZ5hKysrQ2hoKKZNm4awsDCkpaXVen81pad4VakrCCGksaBA\ni5AGlJeXh5CQWLlEpQBQUjIQISGxyMvLE8rU1NTw4YcfYvfu3fD09ERsbCxOnjyJ/fv3o1mzZnjv\nvfdQWFgIX19f2NvbC+clJyeDMYY2bdpg4MCBEIvFuHr1KmxsbHD16lX07t0bQHXQs3z5coSEhGD/\n/v14//33kZ6ejoMHD6J9+/b/jKsEfn5+KC8vx4kTJ4RZsZrQjBYh5H8ZBVqENCAfn3VISPBXWpeQ\n4A8fn3XCb7FYjIULF6Jz5864fPkyxGIxbG1tkZ6ejh49eiAhIQH9+/fHunXrkJ6ejvLycly+fBm3\nbt2CmpoabGxssGLFCqSmpqJPnz6wtLSESCSCkZERAAgpHbS1tXHp0iX0798f8+fPx4EDB6Crq4tu\n3bqhdevW+OKLLxAXFwc3Nze0atUK3bp1E/p4HuccVlZWCukgZHV6enoKdefPn3/JT5kQQhoOpXcg\npIFERp5BdHRXAMqDFMAI0dFOiIyMwpkzvyA8PBxFRUUwMzPDjz/+CDc3NwwZMgSnTp0CUP2l4I4d\nO6CpqYlBgwbJ7SE4btw4aGtro3PnzkJZ+/btwRjDw4cP0bt3b1y/fh3a2tqwtLREu3btEBgYCCcn\nJzx+/BjvvPMO5s+fj++//x7bt29HTk4O+vbtC6B6ob6yryTNzc1RVVWl9M7S09MBABYWFipfH2pp\nadX2CAkhhLyg17rrNiGvW0lJCe/SZQ4HqjjAaziqeJcuc7ibmxvX0dHhfn5+PC8vT+jn/Pnz3NLS\nkm/dupWbmJhwJycnzjnns2fP5lZWVrxjx4581qxZ/MmTJ0rH8eOPP3LGGD9//jw3MDDgo0aN4pxz\nXlZWxocMGcIZY1wkEnHGWI1H9+7d63X/sn6Li4tf8AkSQkjjAUDlOgia0SKkAcyZE4y4uHmofbtR\nhrg4P4wZsw537+6ElZWVXK2Liwvu37+PsrIyTJs2TXgtt2HDhjqlX8jNzQUAtG7dWlgvVVpaipEj\nR+LUqVNgjOHOnTto3bo1AGDlypVYs2YNvv32W0ycOFHoR9mMVk2OHTuGpKQkaGtrK9RVVFRAQ0Oj\nXv0RQkhjRWu0CHnNrlyJRWSkAYA2tbatZo2DBzfC2tpa6fY3Wlpa0NfXB1CdALS2rXj69esn9JyR\nkQHGGCwsLISyLVu24NSpU9DQ0ADnHA4ODjA0NIShoSHWrFkDAJg1a5ZQZmhoiIsXLyqMOjQ0FJcv\nX4ZUKoWfnx9sbGywYcMGJCUlYcKECfj8889x6dIlob1UKoWXlxeMjY3x888/1//BEkJII0QzWoS8\nZosXb0N2dlA9z7KHru4jtGljKldaVlaG5ORkpWfY2NgonTGytbUV/pycnAxDQ0M0b95cKHN2doaH\nhwf09PSwa9cuzJo1S0gBceHCBVy8eBFDhw6Fk5OTcI6dnZ3cNeLj4zFjxgyoq6sjNzcXOTk5SEtL\nQ0FBAezs7ODv74/FixdjxIgRuH79OqysrKCmpoaePXsiIiICU6ZMwZUrV9CuXbt6PidCCCF10dCv\nWwl5Zf766wY3MdlYy9os+cPU9Dt+5UqsXD+ZmZm8X79+nDHGp0yZwhlj3NTUVPizq6srz8/Pr3Es\nnTt35v369eOcc96iRQs+atQoLpVKeVZWFvfy8uKMMZ6VlSW0DwwM5Iwxvm3bthr7DQoK4owxPmDA\nAM455xMmTOCMMb5kyRKhjbu7u9CmqqpKKB8zZgxnjPFu3brxysrKuj1UQghpQKhhjRa9OiTkNevV\nqytGjMgHkFpr22qp8PAoQM+e1TNInHPs2bMHPXr0wOXLlzF27FiEhIQAqM6FFRYWhmHDhuH8+fPo\n2rUrjh07prTXvLw8xMfHo3v37kJZRUUFZs+ejSNHjghfA5qZmQmvHZcuXQoA8PHxkXsdefLkSbm+\nd+3aBQAYMmSIyrvaunUrunTpgqFDh6K8vBynTp1CfHw8tm7dCmNjY8TGxspteE0IIW8ienVISAMI\nCfHDpUsBiIsLRs0L4jm6dAlGSMhKFBYWYteuXfj2229x584dqKurY9GiRfj666/x5MkT4Qx1dXUc\nPnwY8+bNw8aNG+Hu7o7+/ftj3rx5cHd3h7p69X/2p0+fBudcLhg6fvw4OOeIiIgQFsfX99XhqVOn\ncP36daipqcHT01PlnZmamiI2Nlb4vXbtWkRFRWHXrl1YuXIlPv30U3z99dcYP348LC0t6/RcCSGE\n1E3DzgES8hpERkZxQ8M9Nb4yNDTcw3/44QAfN24c19HREdIpuLq68mvXrgl9FRUVccYYNzMzk7vG\nuXPneM+ePYXzWrZsyb/44gvOOefDhw/nurq6vKSkhIeFhXF1dXUuEon4559/zjnnL/zq8P/+7/84\nY4yPGTNGKJO9OvT391d6TmVlJbe0tOQikYhfvnyZc865r68vP3ToEJdKpfV8soQQ8nqhhleHjVVD\nPzNCXovRowM4kKsi0Mrlo0cH8KqqKt67d28uEon4wIED+enTpxX6URVoyRw9epQPHDiQi0Qi/tVX\nX3GJRMJ1dXW5r68v55zzvn378mbNmvGwsDDhHFmgVdcjKSlJODciIoLHxMQIv+fOncsZY1xNTY23\nb9+eOzg4yB2mpqacMcb19PR4aWnpy3q8hBDyWqCGQKux7uj6z7gJadry8vLQr986JCSsUKizt1+I\nS5f8YWRkhDt37qCiogJdunRR2s+TJ0+gr68PU1NTZGRkqLzevXv30KpVKxgYGGD//v3o1asXbG1t\ncfjwYXTs2BEODg5C26lTp+KHH36Ar68vdHV1a72XL774QuVWPOnp6fD09MSVK1dQWVmpUK+mpgZL\nS0sEBgbCy8ur1msRQkhj8s+aVqUxFQVahDSwzZv3wN/fRG5j6WbNzmDt2hz4+qpe40QIIaRxqCnQ\noq8OCWlg06d7wtn5CADJPyUS9OkTienTxzXksAghhLwEFGgR0sAYY9i+3Q9t2gQDAKytgxEePk/l\nZssVFRXIz89/nUNUqqysDOXl5Q09DEIIadQovQMhjYCNjTUmT26BdesiMHmyAaytVW/Pc/LkSYwf\nPx5r167F9OnT//W1pVIpKisrhaO0tBSFhYUoKipCUVER8vLykJWVJRzJycm4d+8e0tLSMGfOnDrl\nujI1NcWjR4+Qk5MDY2NjhXrZVkISiUTJ2YQQ8uaiQIuQRuKrr6YjOXkuAgNDamx36NAhFBcXIysr\n64XyS5mbm+PPP/8EAJw9exYDBw6sdx+MMRgYGODmzZsoLy+HpqamUDdnzhwUFBTItS8sLARQnZPr\n2bbPqqiowJQpU+TKWrVqhbVr19Z7fIQQ0ljQYnhCGonqTZXnYufOEKipqSltI5FIYGZmhpKSEly8\neBHOzs4qXzE+69n/niwtLZGWlgYAqKqqgoODA4qLiyESiaCurg4tLS3o6OhAR0cHMTExAKoDpDZt\n2sDc3BwWFhZo3749zMzMlF7LzMwMjx49Unp92Vg553Ljfr5eVmZjY4P79+/Xen+EENKQ6KtDQt4A\nixdvRFBQCyxYUIilS2cobRMWFoZp06Zh6NChOHr0aJ37trS0RGZmJuLi4tCxY8c6nSOVSqGhoQHG\nGCQSicqZqOeVlZUhJSVF+M05h4uLC3Jzc3Hp0iUYGBigXbt2ePLkCbKyssA5R8eOHaGpqSmXKR4A\nrK2tlW6MTQghjUlNgRa9OiSkEUhJSUVERAFKSz/Dzp0r4O2dChsba7k25eXlWLlyJQBgxIgRr3xM\nz/5jpz7/8ImLi0OfPn3kyhhjYIyhX79+AIDk5GT8+uuvmDFjhlBfUVGBDh06yJ3322+/YdCgQS96\nC4QQ0uDoq0NCGhjnHN7ewUhL8wMApKX5wds7WCG4+fbbb4WZIi0trX993SFDhshtDP38IZvB4pxD\nR0enxrZTp05V6H/o0KFITk5GcnIy7t+/j6SkJPTp00cIumT8/f1x//593L9/X2j/7rvvAkCdXosS\nQkhjRjNahDSw0NB9iIkZAUDnnxIdxMR4IDR0n5CwNCcnB8uWLVM4d8qUKfjhhx+U9jtixAgcPnxY\n5XXbtGkDR0dHuTLOOfLy8pCTkwMdHR3hK0BNTU2Ul5fDzMwMLVq0UOjL3Nxcoez06dPo1auXXJls\nkfyzQeSmTZsQHh4u166oqEjluAkh5E1CgRYhDSgvLw8hIbEoKZHfgqekZCBCQhbC03MwjIyMMGPG\nDIUv+Z7VqlUrYZaroqIC2dnZtc4Gbd26Ve53QUEBVq9ejW+++QZGRkY4cuQIXFxcwBjDwYMH4enp\niYqKCsybNw9eXl7Q0NCosf93330XGzdulCvz9PQUvniU8fX1xcyZM+XKfHx8cPr06Rr7J4SQNwG9\nOiSkAfn4rENCgr/SuoQEf/j4rMPt27dx8OBBNG/eHC4uLkrbRkREIC0tDWlpafVaJC+VSnHu3Dn4\n+PjAwsICq1atwltvvYUbN27A2dlZaDd48GBER0dDX18fn376KaytrREQEICrV6+qXL91/Phx2Nra\nyh1//vknGGNIS0sT9mQMCgpSaEdBFiGkqaAZLUIaSGTkGURHdwWgfCNmwAjR0U5ISHgIQ0NDfPvt\ntzhz5gwuXLhQY791WbheXFwMX19fnDhxAo8fPwYAODk5ITAwEKNGjQJQHYT17NlTWFPVu3dvxMbG\nYuXKlfj222+xevVqrF69Gi1btsTgwYPxww8/yKWlGD16NHbv3o3bt2+jtLRU7vr+/v64ePEifv/9\nd4VUFp07d8b48ePrFTASQkhjRYEWIQ1AIpFg8eJIiMXBNbYTiz3x5Zd++P777zFy5EicOXPmpVy/\nWbNmQgb40aNHw9bWFt26dUNxcTF+/PFHod3cuXMBAHv37hXKOnTogPPnz+P8+fPYvn07bt68CS0t\nLYWASbag3tPTEwkJCUrH8fbbb8v9ZowhIyMDIhFNthNCmgYKtAhpAHPmBCMubh5qT2XHEBfnh19/\n3YWRI0e+1DFs3rwZoaGhMDIyQt++fREUFFTnc5OSkjBr1izMmjULCQkJ0NPTU9k2OjoaJSUlcmU+\nPj44e/Ys7ty5IxegMcbQunXr+t8MIYQ0UhRoEfKaXbkSi8hIAwCq9zOUZ40jR1rg009vqmzxIgl+\nn91zcO3atRCLxQCAS5cuYfXq1Rg8eDA+++wzoU1paSkmTJgAJycn2NraCuX29vY1XmfLli1YunSp\n0rrnv3o0NjZGTk5Ove+FEEIaK5qfJ+Q1W7x4G7KzP6nXOdnZPli0KExl/fvvvy/ktHo+WWhduLi4\nwMPDAx4eHsLXhIMHDxbKPDw8oK6uDqlUivv378PR0RGOjo7o0KEDduzYUadr/PHHHxg5ciT+/PNP\nvPfee2CMITs7GxMmTMCJEyeEMkIIaUoo0CLkNVu27BOYmGyr1zmmpmFYvtxHodzY2BgWFhawtLRU\nOFq2bFnvsZWXlyMiIgKMMQwdOlSubsuWLWCMobCwEPfu3UNCQgLu3r0LHR0dFb3JMzMzQ7t27RAT\nEwN1dXVwzvHo0SNIJBK4urpCXZ0m2AkhTQ/9zUbIa9arV1eMGHEMW7emArCutT2QCg+PAvTs6aRQ\nExQUVK+1VbVZuHAhUlNTMWTIEIU9EU+ePCn3e9iwYfj111/lXiMqI5ulUtauS5cuACAEay8SHBJC\nSGNGM1qENICQED906RIMoLa1VRxdugQjJMTvlY7nyZMn+PTTT7F+/XoYGxsjNDS0xvaVlZW4dOkS\nGGNo3759jW3nzp2L5ORk7N69G82bN0efPn3g5uYm1L/11ls4duwYkpOTcf369ZdyP4QQ0lhQoEVI\nA9DR0cHy5R4wNNxXYztDw31YsWJEnV/PyUgkEuTn5wOozplVXFwMQHHvwMLCQoSEhMDe3h7btm2D\nmZkZoqKi0KbN04X6UqkUUqlU+M05x4YNG5Cfnw8rKysYGhrWOJa4uDh8/vnnmDBhAgwMDLBv3z7h\nflauXIlbt27B3d0dK1euFMplebdozRYh5E1HgRYhDcTdfSDc3GIB5KlokQc3t1gMH+6mol61v//+\nG0ZGRhCJRNDX1xe27zExMRHaLFq0CKamppg3bx6ys7Mxbtw43Lx5E05O8q8ok5KSoKmpCSMjI5ib\nm0NfXx8LFiwAACG5qSrx8fF45513sH//fri6uiImJkYuiFuwYAESExMxbNgwbN26Fb1794a9vT1O\nnToFxhhatWpV73snhJDGhAItQhpQWJg/7O3XKa2zt1+HsDD57XlkWdpr4+TkBA0NDaGtsbEx/vvf\n/8LI6GkW+v/85z8oLy/H0KFD8ccff2DPnj1yKR+ejsMebdu2RUFBAbKzs1FVVQU7OzvMnz8fK1as\nUGj/rI4dO2LmzJn48ccfcebMGZiZmSncR8uWLXHkyBHs2LEDrq6uSExMhK6uLry9vdG5c+da75UQ\nQhqzxjovz18kLxAhb6LNm/fA398EJSVPZ66aNTuDtWtz4Ovr+UqvnZWVBVNT01d6DUIIaer++Yej\n0piKAi1CGhjnHIMG+SE6eiUAHQASuLkFICoqmNYoEULIG4ACLUIauZSUVLi67kJa2kJYW6/AuXMT\nYW1d18zx8sRiMY4ePYpevXqhQ4cOL3mkNUtPT0ebNm3g7OyMS5cuydVVVlaivLwcEokEeXl5ePz4\nMVJSUpCUlIQbN24gISEB586dq3VxPSGENDY1BVqUR4uQRsDGxhqTJ7fAunURmDzZoF5BVmlpKW7c\nuIGYmBgcPXoUZ8+ehVQqRd++fXHx4kWFWbFVq1Zh4cKFLzTOxMREtG3bVq5s0aJFSE1NBQBhT8Ok\npCRMnDgRQPVfQOPGjcOIESNq7FskEiEiIgKzZ89+obERQkhjRIEWIQ1EKpXCy2sudu4MgZqaGr76\najqSk+ciMDAEAITZH4lEgtLSUhQVFSE9PR3p6el48OAB0tLSEBsbi1u3bsmlX2CMwcLCAm5ubigu\nLkbz5s3lrtuiRQtYWFjU+FqSc46qqipkZmYKfXbp0gUGBgYKbY8fP46bN+X3YXz8+DF++ukn4feH\nH36I9957D1lZWdDS0kLz5s2FrxjbtWsHc3NzWFhYoGfPnvV/kIQQQuqNE9LULVr0HdfWjuBffrlR\noS4pKYkzxup0iEQirqurywcMGMD/+9//8suXL7/wmCQSCf/555+5t7c3NzEx4dra2nzs2LE8Kiqq\nTuc/ePCAM8Z4v379FOr27NnDP/nkEy6VSvnKlSu5vr4+j46O5pxz/v3333PGGA8MDHzhsRNCSENB\nDdmnaUaLkAaQkpKKiIgClJZ+hp07V8DbOxU2Nk+342nbti2cnJyEHFZaWlrQ19eHsbExjI2NERUV\nBYlEAl9fX8yePRv29vYvZeH8zz//jI8++gjm5uZYunQpPvjgA7mUEMqcOHFCYV/Ey5cvQySqzh6j\npaUFiUSC3bt345dffsHw4cNhb2+PoqIirFmzBgMGDMDp06cBVG9uTQghTQkthifkNeMv4StDS0tL\nZGRk4LvvvsOMGTNqbV9YWKiwd6EyEokEYrEYWlpaSnNqyejo6ODevXsAgHv37iE8PBwAUFRUhI0b\nN8LCwgKTJk0CAGhoaGDJkiUIDw/Hxx9/jPHjxyM8PBwmJiZ48uQJ4uLi0Lt3bwDVrxy1tLRqHSch\nhDQmtBiekEYkNHQfYmJGoDrIAgAdxMR4IDR0X73zZsn+QVJUVISHDx8Ka7hkfzY3N8eXX36Jqqoq\nZGRk1BrIyforKysT1mcp82ww1L59eyFxaXp6OjZu3AgrKyuFZKbDhw/Hhx9+CHd3d2hqamLXrl2w\nsrKCnZ0dwsLCkJiYSEEWIaTJoRktQl6jvLw89Ou3DgkJihnV7e0X4tIlf7lXdZxzPH78WAicZP83\nJCQExcXFaNmyJcrKylBUVKT0eh06dMDff/9d5/Ht3bsX48ePx5AhQ3D8+PFa2ycmJsLe3r7WdmFh\nYdixY4ew/6Ky/77t7Oxw5MiROo+VEEIaC5rRIqSR8PFZh4QEf6V1CQn+8PFZh4MHV6CqqgqOjo5I\nS0tDeXm5yv4eP34MDQ0NWFlZwdLSEpaWlrCwsBD+bGNjU6/xVVRU1Kt9ixYt4OXlVWMbxhjs7e2h\noaEBDQ0NAMCtW7dQWVmJbt26AQBu3ryJqqqqel2bEELeBBRoEfKaREaeQXR0VwCqFpcbITraCUeP\nRmP4cDdIpVJoaGjAxsZGCJ4sLCxgbm6OwMBAiMVirF69Wtjg+UXcvHkTY8aMgZGREXR0dJCYmAgA\n0NXVrdP5rVq1wocffog9e/aobGNsbAwXFxecOXNGKDM1NUVeXh6uXbsGAAopKAghpKmgQIuQ10Ai\nkWDx4kiIxcE1thOLPbFwoR8GDeqLv//+G9ra2krbrVq1CmKxGM2aNftX4+rUqROys7Nx//59oUxN\nTQ3jxo2rcx9xcXHYuXMnACisAeOcw9raGs7OzggJCRHKxWIxKisr8fbbbwOoTrqampoKFxcXHDhw\nACYmJv/mtgghpNGgQIuQ12DOnGDExc1D7csiGeLi/DB3bjC2bKk9ezvnHKWlpcjMzERGRgYyMjLk\n/pyRkQGJRIKLFy8qPV9NTQ3R0dF48uSJUGZtbV3vV44AEBISIpfVvbKyEpqammCMoaqqClKpFIwx\nufVZVVVVwm/OuVziVUIIaQpoMTwhr9iVK7EYPvwisrNrT8MgY2KyEXv3doepqTEyMzMVjkOHDqG0\ntBRaWlooKyursS/GGAoLC9GsWTPcunULTk5OL3wvampqCuu41q1bh88//1zlOTY2NnIzZsDTV4ey\n9WfNmzdHmzZtEB8f/8JjI4SQhkKL4QlpQIsXb0N2dlA9zriD7OzPMWBASZ3SMVhbW8PMzEw4zM3N\n5X6bmZkpvGJUV1dHu3btAACPHj1CXl4eTExMhA2dk5OTUVZWhrZt20JTUxNSqRT37t2rcTzu7u7o\n37+/8LuqqkpuT8XLly8Lf5YFazExMcJ2P4QQ0hRRoEXIK7Zs2Se4cWNbPWa0LMBYFaysrNG2ra1C\n0GRmZoaPPvoIjx49wvr161UmLOWcIy4uDq1bt1aoMzU1FWaPAgICsHr1agQEBAiv/rp164abN28i\nMjISHTt2RG5uLlq1alXjqAcOHIg5c+YIvysrK+UCrbfeekvhnH79+tX+OAgh5A1GgRYhr1ivXl0x\nYsQxbN2aCsC61vZAHnx8vqxxjZa6eu3/6ebn56Nbt26wsbHB+fPnYWlpqbRdXV7T16WNn58f/Pz8\nVNb3799fmBGLiYlBRUWFsBgeqF4bRgghTQ0FWoS8BiEhfrh0KQBxccGoeWkkR5cuwQgJWfmvr5md\nnQ0ASE1NhZ6e3r/qqy5bA7m6uqJ79+7Cb845NmzYIPy+cOGC8GfZGq3z58//q3ERQkhjR4EWIa+B\njo4Oli/3gJfXPojFqrfZMTTchxUrRkBHR0dlm2fl5uaqrPv9998BVAc1LVq0qLWv52etnv1CsC4z\nWqNGjZL76rC8vFwu0HoWfV1ICPlfQYEWIa+Ju/tAuLktxKFDg6E8aWke3NxiMXy44vY8zzM3N0dG\nRgYCAwOxefNmiEQiuXqpVCrMaA0aNAg3b97EuHHjhK/8srKy4OjoCADIyckBAKxcuRKbN28GUD0L\nxjkX9iWUBUaVlZVwdHQEYwxRUVEwNzdXGNvy5cuRkZGBx48fA4AwmxYaGorw8HBkZWUhNzdXWHhP\nCCFNGQVahLxGYWH+uHVL1V6H6xAWpnx7nuetX78e06dPx927d4WA6nm6urpwdnYWAp+EhAQwxsAY\nE74ilGGMIScnRwi6ZGWpqalyvwEI51VWVgrlz75aTE1NxbZt28AYg5GREQICAgBUf4X4119/gTEG\nY2NjuYXyhBDSVFEeLUJes82b98Df3wQlJW5CWbNmZ7B2bQ58fVW/ViSEENI41ZRHS6SskBDy6kyf\n7gln5yMAJP+USNCnTySmT6/7tjeEEELeDBRoEfKaMcawfbsf2rSp3vfQ2joY4eHz6vRlHyGEkDcL\nBVqENAAbG2tMntwC2toRmDzZANbWbZS2CwkJyd1ofgAAIABJREFUgUgkwoIFC1T2NWDAAIhEIpX7\nGQLVXw16eHioTG76rKqqKnz11VdwdnbGo0ePar8ZQgghKtFieEIagFQqRVJSPEaPZggMfJoC4e+/\n/8aYMWOE3/n5+QCA8PBw/PLLL0r7evDgAQBgwoQJ0NbWFsqnTZsmJBC9efMmjh49ir59+9Y6NpFI\nBDU1Nfz111+YM2cOfvrpJ5Vtb9y4gR49etTaZ01++eUXDBs27F/1QQghjRUFWoQ0gMDAUBw+3A8L\nFhRCTU1NKJdIJMLXgcDT/FV5eXkQi8VK+5K1kQVcMs9+Qbht2zYA1fsNPp8KAgA8PT2xd+9ehfK9\ne/cqlKekpKBNG/kZOHV1ddjY2Cgdnyrp6ekoKyujV6aEkCaNAi1CXrOUlFRERBSgtPQz7Ny5At7e\nqbCxqd5+plevXnIbLG/YsAF+fn6YP38+Vq1apdAX5xyDBg3ChQsXcOHCBaX7CcbGxmLLli1QU1ND\n+/btlY7JwsJCyKuVmZmJgoICWFlZKWxGDQAaGhoKZZaWlkhISKjbA/jHgAEDKDM8IaTJo0CLkNeI\ncw5v72CkpVVvsZOW5gdv7wBERQXXOLMTFBSEoKAglfWqzi0rK8PIkSNRWVmJL7/8EkuWLFHZx7p1\n6wAAnTt3RnFxMa5cuYJWrVrhxIkTaNasGVxcXOpyi4QQQp5BgRYhr1Fo6D7ExIwAINtiRwcxMR4I\nDd2nNIfW8OHDVW4G/TzZjNSztLS08NFHH2HlypX4+uuv8fXXXyu0sbOzE5KQXr58GfHx8Rg2bBha\ntWqFR48e4aOPPoKamhquXr2q8MpQ5sGDB3Uep4wsczwhhDRlFGgR8prk5eUhJCQWJSXyWeFLSgYi\nJGQhPD0Hw9/fH3/88UeN/Ty7B2FNLC0tcfr0aSxbtgz37t3DgQMH4OnpicrKSujp6UEqlSIiIkJu\nAX1gYCAAYNGiRQCA1q1bIyQkBFOmTMGoUaNw6dIlaGpqKlxLKpUiMzNT6ThkY1U260brswghTR0F\nWoS8Jj4+65CQoHyLnYQEf/j4rENh4QO5rXGUqSlweZZsX0PGmLBdjqenJ6ZOnYo1a9Zg3LhxiIiI\ngKamJr755hscP34cv/32GzQ0NODv74/CwkKIxWJhUf3169cREBCg9BWmjY0N7t+/r1CempoKW1tb\ntGzZklJFEEL+J1EeLUJeg8jIM4iO7grlm0kDgBGio50wZ85CSKVSlUdJSQkAoGXLljW2k0qlcoFP\nXl4eNDQ00L9/f9jb22PatGnYsWMHAEBTUxN6eno4deqUEJRduXIFubm5MDExwfvvv4/Zs2dDQ0MD\nhw8fRnFxcZ3v29LSEiKRCLm5uaioqHjBp0cIIW8umtEi5BWTSCRYvDgSYnFwje3EYk8sXOgHG5tW\nQjqG50mlUgDAkydPMHfuXKVtGGOYOXMm7OzshLLc3Fy0aNECrVq1wsmTJ7F06VIMGTIEfn5+0NTU\nhKenJ5ydnaGnpwdDQ0M0b95cod+33noL77//vtIvEVVRU1ODpaUlHjx4gLS0NLkxEUIIaTickKbC\nx2c5B1I5wOtwpPDhwz/mjDHOGOMikUjhqEvduXPnhOvLymo7Vq5cyQ0MDHhUVBTv06cP/+STT3hc\nXBzv2rUrDw0NVXpv169fr3P/NR3ffffd6/p/ByGEvHQAVC6cpRktQl6hK1diERlpAED513qKrHHx\nYvWM0fDhwxEZGSlXW1paCl1dXZVrnt59912cOXNGrmz27Nn45ptvYGdnh1GjRqGiogIaGhrIzMzE\nrl270LZtW4wePRqlpaUoKCiAhoYGYmNj0axZMxQXF+PmzZvIzs6ucdRqamowMzNTWldcXAyxWAxd\nXV0YGSl/daqnp1dj/4QQ8qaiQIuQV2jx4m3Izlad/0oZsXg4gG9w9OhRpVncgerUCKrqnicLtN59\n912Ymppi27ZtOHz4MLKysrBr1y706NEDa9aswcKFCwG8WNBjZWWldDE8UL2IvmfPnujatWuN+zES\nQkhTRIEWIa/QsmWf4MaNbcjOrn0zZxlDw6PIz2fo0KEDvLy85OoqKyuxePFi6Orq4r///a/Cudu2\nbUNiYqJcWUpKCgCgXbt26N69OzIyMvD2228LCUpla67y8vLAGFM56ySRSKCjo6O0ribdu3eHvb09\nLl++jNTUVFhbW9e7D0IIeVNRoEXIK9SrV1eMGHEMW7emAqhLgJGK/v2LcexYdSLRzz//XK62tLRU\nCLSerwOAU6dOKQRaspkmOzs7uLm54ZdffsHff/8t5MOSBVoPHz4EYwympqYK/XLOsWbNGpw7dw4n\nTpxQmkurJtOmTcP8+fOxZMkSbN++Xa7u/PnzcHJygoGBQb36JISQNwGldyDkFQsJ8UOXLsGoYa3k\nPzi6dAnGzJljAUB4dfjsoaurC+Dpq8PnjzNnzijk14qPjwcAjB49GiKRCK6urpgxYwYmTJgAANi0\naRNWr16Nv//+G1ZWVkqDKFmfZ8+eFb58rE1xcTEuXryI4uJifPrppzA1NcUPP/yAy5cvy7VbsWIF\n7OzscPPmzTr1SwghbxKa0SLkFdPR0cHy5R7w8toHsVhxmx0ZQ8N9WLFiBNq3t8b8+fPlMsCLxWKl\nr/SkUikqKyvlgiPGGKysrITfbdu2xZQpUxTOvX79OmJjY4U9DFNSUuDpqXp8Ms9mkpcpKytDZGQk\n4uLicOvWLcTGxuLu3bvgnCMxMRFt27ZFcHAwxo8fj9GjR+Py5cvCdj7Xrl1Dfn4+WrduXeu1CSHk\nTUOBFiGvgbv7QLi5LcShQ4OhPGlpHtzcYjF8+ApUVFTg448/xs2bN3H58mWcPn0aiYmJuHjxIrp3\n7y531tatWzFjxgy0a9cOHTp0QJcuXdC3b1+0aNFCaDNz5kyFq1VVVcHDwwOxsbFYvnw5fvjhBwBQ\nGWiVl5ejvLwc+vr6wuzWokWLsH//fgBAZmYmRo4cKbRnjMHQ0BB9+vSBvr6+0Pe5c+cQGhoKZ2dn\nrF69GlpaWnj8+DG6deum9JUlIYSQV6OBM2IQ8vLl5uZye/sApfmz7O0DeG5uLh89ejRXU1NTyDNl\na2vLt2/frtDn7NmzubW1tVwOLdmxZMkSubanT5/mDg4O3MHBgRsbG3PGGDcxMeHx8fGcMcatrKx4\neXk555xzLS0t7ubmxm/dusUZY1xHR4dramry3r17C/2tWbOGM8a4mpoat7W15e7u7nzhwoV83759\nPDExUekzqKqq4tOmTVMY6/r161/ikyaEkNcLta8NaXQa+pkR8kps2vQT19U9IxdkNWsWxTdt2sM5\n5/zcuXOcMcZNTU35sGHD+PLly/mff/5Za78FBQU8Ojqaf/nll7xfv35cU1OT37hxQ65NRUUFNzc3\n57q6utza2pq7u7vzixcvcs459/b25pGRkUJbbW1t7ubmxquqqri3tzfX19fn5ubm/NChQ0KbvLw8\nHhsbyyUSSb2fw759+3jv3r25rq4uf//993lpaWm9+yCEkMYCNQRaNe9K23D+GTchTQvnHIMG+SE6\neiUAHQASuLkFICoqWHglJxaLYWho+K+uU1JSIiycr4uqqqo65+UihBAi75+/v5XGVBRoEfKapaSk\nwtV1F9LSFsLaegXOnZsIa+u6Zo4nhBDS2NQUaNE/YQl5zWxsrDF5cgtoa0dg8mQDWFu3QXFxsZCi\noaqqSuGcy5cvQyQSoUuXLg0w4vrT1NSESCSCVCpFYGAgxo0bB4lE0tDDIoSQ144CLUIawFdfTceY\nMX8iMHAaAAhpHJ5N6aDM8zmynnX27FmlubVe5IiKivpX96empgbGGEQiETIzM3HgwAFMmzbtX/VJ\nCCFvIkrvQMgrIpVK4eU1Fzt3hkBNTU0oLykpgZOTEwDAweFXAE8DLc45HBwcFPoqKysDACQkJKBd\nu3ZydYwx3Lt3T/jdokULlRs8A8CdO3eE8569tqOjIzIyMlBUVKQQ0E2cOBFZWVl1uOtqlZWV4Jxj\n8ODBqKysBAAkJibi//7v/7B69eo690MIIW86CrQIeUUCA0Nx8KAz2rbdgqVLn+51yDlHbm6uytmp\nvLw8hTJZsFJZWSlXzzlX6GfUqFEK29w8a/bs2fjuu+9w8eJFODo6wtraGu3atcOVK1cwdepUIafW\ns37//XekpaUBqHlW7dlxAUB0dLRwTkxMDJo3b17ruYQQ0pRQoEXIK5CSkoqIiAKUln6GnTtXwNs7\nFTY21XsdNmvWDGKxWK59cXEx9PT0wBgTttd5VkxMDPr164eOHTvWulUN5xwBAQE4fPiw0vpHjx4B\nqE4gqqOjA6lUiocPH2LSpEnQ0NBQ2S9jDNevXxdm42piZWWFjIwMPHr0CMbGxrW2J4SQpooCLUJe\nMs45vL2DkZa2EgCQluYHb2/5FA4yDx8+hIWFBUQiETp16qRytkhPTw+urq5o27ZtncaQlZWFhIQE\npf3JZpsePHgg1EskEqSlpcHOzq7Wexs6dKiwUfXzGGPYuHGjkFqipKQExsbG2LFjBzp16oTevXvX\nafyEENJUUKBFyEsWGroPMTEjUJ0nCwB0EBPjgdDQffD1fbrFzS+//IKRI0eiV69emDlzJmJjY4WZ\nrJ49e6K4uFiuX8YYsrKy4OjoKPweO3Ysli5dqtBu+/btCA8PVzq+b775BnPnzsVPP/0kbLlTXl4O\nTU1NpXsiPi85OVlYE/b8In7GGIqKiqCrqwvOOYqKigAAX375JcRiMfLz86GuTn/tEEL+d9DfeIS8\nRHl5eQgJiUVJyQq58pKSgQgJWQhPz8HC5tADBgyAn58fvv32W3h5eWHFihX47bffYGlpibt376Kk\npETlDJcswKlpgfq6detQWloqVzZ+/Hi0bNlSGCtQPav27rvv4tChQ7Xen0gkwu3btwEAV69eRXBw\nMAYMGIBPPvlErt369esBAPn5+bh37x4ePnyIIUOGUJBFCPmfQ3/rEfIS+fisQ0KCv9K6hAR/+Pis\nw8GD1UGYnp4e1q1bB09PT4wZMwYWFhawtLQU2jPGIJFIoKmpqdDXrl27MGnSpBrHsmzZMhQWFsqV\n9ejRA1ZWVgCqN4IGgJ9++gl3797FtWvXVPZVUVEBAHJjOXDgAHbv3i3MsD1LFkzm5eUJ/Q4aNKjG\n8RJCSFNEgRYhL0lk5BlER3cFYKSihRGio51w9Gg0OnWyQXp6OlxcXNC7d29cu3YNJSUlCmeoyqlV\nl50TGGOYPn06Nm3ahHPnzsHNzQ0A0L59ewBAUlISAOD7779H69atMXbsWPz2229K+yovLwdQPfv1\n9ddfA3j6RWF0dLSQMgIAOnbsKMya5eTk4MiRIwAAd3f3WsdMCCFNDQVahLwEEokEixdHQiwOrrGd\nWOyJhQv9YGmZgBMnTmDAgAFYvXq1ykXidUmloArnXC4/l4ypqSlMTEzw119/4eTJk7h79y6WLl2q\ndOZMRvYKsri4GLt375arO3v2rFz/AwYMQP/+/QEAN27cwLlz5+Dg4AB7e/sXvhdCCHlTUWZ4Ql6C\nOXOCERc3D7VvH8oQFzcHmZnF0NHRwdmzZ9GvXz/MnTsXUqm0zteTpWioKRBjjGHLli0QiUQYOHCg\nXNsBAwYgMTERn3/+OQwMDDBz5kyV/VRWVgoL89977z1UVVVh7NixAKpfH0qlUnh7ewMATp48iTNn\nzgivJ7dv347Kykp8+OGHdb43QghpSmhGi5B/6cqVWERGGgCo68bQtsjMHIcDBxZj48YNOH78OJKT\nk+WyxyvTqVMnPHz4ENra2nj8+DEAwMLCQmX7xYsXCxnlZTNOdnZ2yMvLg7u7O/bu3Yu4uDisWLEC\nDx48gI6OjtJ+8vPzAQDa2trQ0tLC3bt3ceDAATg5OWH06NEAgHPnzkFTUxMuLi4AIGSvl+3hWJev\nGQkhpCmiGS1C/qXFi7chO/uT2hs+IzvbBxs2ROLo0aP47rvv8M033+Cvv/6q8ZwePXqgqKgIOTk5\n4JzDyckJPj4+SttKJBK8//776Nq1K1q0aIGMjAwcPXoUPXv2xKJFi4QM7Xp6evDz88P69evRp08f\nhUSqwNMvG2XrrubPnw/OOWxsbJCTk4Nz584hKSkJ7777LrS1tQEAXbt2Fc738PCAtbV1vZ4PIYQ0\nFRRoEfIvLVv2CUxMttXrHFPTMCxfXh0kzZgxAxs2bMCnn35a4zkRERGQSqXCcePGDSQnJyssjOec\nw9/fH507d4a7uztmzZqF77//HowxTJs2Dc2bN4enpyfU1NRQVFSEVatW4cKFC8jIyIC+vr7CdWU5\ns9q1a4eqqio4OzvDyMgIkZGRsLW1FWarvvjiC+GcJ0+eQF1dHYwxfPbZZwCefuVICCH/SyjQIuRf\n6tWrK0aMyAeQWsczUuHhUYCePau3svnqq68QEhKC9PR0SCSSOl+Xcw43NzeFReaMMYwePRqfffYZ\ntm3bhqtXr6KoqAh//PEHTE1NERQUhNatW+PatWvo3bs3lixZgvv372PixIlK81zJAi0HBweIRCJ8\n+eWXSE1NRWBgICQSCVJTUyESiXDlyhVIpVI8efIE7u7uwsbSsvPDw8Ph6+tb5/sjhBDy6nBC3iQl\nJSW8S5c5HKjiAK/hqOJduszhJSUlXCqV8vnz53PGGFdXV+cnTpwQ+mvWrBkXiUS8rKxM5TWTk5M5\nY4w7OTlxzjmPjo7mjDE+depUlefcunWLjxo1ij969IhzzrlYLObTp0/nnp6ePCcnh3t5eXHGGI+K\nihLOGT16NGeM8Q0bNghlCQkJfODAgZwxxk1MTLhIJOL6+vr8zp07fMiQIcI9Mcb4e++9xznnfNiw\nYZwxxtPT01/sIRNCSCMFQGXOHVoMT8hLoKOjg+XLPeDltQ9isafKdoaG+7BixQgUFhZi6tSpOHHi\nBBhjCA0NxX/+8x+F9gUFBWjVqpXSvvbs2QOgerueZx06dAh//PGHyjEwxoRF67LfAPD2228rZJrn\nnOP8+fNgjKFnz544ePAg9uzZg59//hlSqRQuLi44ePAg/v77b/z1118YP348bty4gdatW2Pv3r0Y\nPHgwTp8+jfDwcERFRaFr1641LuAnhBDyejR0cErICxk9OoADuSpms3L56NEBnHPOO3XqxBljXFNT\nk3///fcK/djZ2XHGGDcyMuIODg4KR+vWrTljjItEIn7kyBHO+dMZLVn5ixyy82UzWgUFBdzS0pLr\n6OjwsrIy7uzszBlj3MbGhm/dulVuzFOmTOGMMW5mZsZv3LjBOefcz89P6JMxxrdv3/4qHz8hhDQI\n1DCj1Vg19DMj5IXk5uZye/sApYGWvX0Az83N5ZxzvnPnTm5pacmjo6OV9vPzzz9zc3NzlQGRhoYG\nt7W15UuWLBHOqcurw9pMmTKFi0QiuVeH6enp/LPPPuOcc37p0iV+4sQJLpVKFc59+PAhf++99/jD\nhw+FsvLycv7xxx9zfX19/vHHH/OqqqoXHhshhDRWqCHQevG006/WP+Mm5M2zefMe+PuboKTETShr\n1uwM1q7Nga/v09eKhYWFSr/yI4QQ8mb5ZwmG0piKvjok5CWbPt0Tzs5HAMi+IJSgT59ITJ8+Tq4d\nBVmEENL0UaBFXqmatpUpKiqq0+bIbxrGGLZv90ObNtX7HlpbByM8fN6/2reQEELIm4kCLVIvq1at\ngkgkwqZNm+rU/sCBA+jVq5fSr+CGDRsGHR0d/Prrr/UaQ25uLnbs2IGYmBgA1ZnLRSIRbG1tAQCJ\niYkQiUTo3r27cM6NGzcQHh6OgoKCel3rRdnYWGPy5BbQ1o7A5MkGsLau6/Y8hBBCmhIKtP5HSKVS\nTJw4S2GGKSQkBCKRSOkRFRWlsr+6zkT98ssvuHbtGjIzMzFo0CA4OjoKx59//ony8nL4+vrKlTs6\nOqJDhw5ISUlR2mdwcDC8vb0REBAgV/78jNGzvxctWoSPP/4Y06dPr9O4X4avvpqOMWP+RGDgtNd2\nTUIIIY1LY32XQYvhX7LFizciKKgFFiwoxNKlM4TykJAQzJs3D7q6ujAyMgIAZGdno6KiAn369MGf\nf/5Z52u4uroiOjpa+C2RSGBiYgKRSISsrCx06NABaWlpQr3s/8fPB0icczDGcPv2bYWs5wCQk5MD\na2trlJWV4f79+9DS0oK5uTlsbGxw//59JCYmwt7eHt26dcO1a9cQHR2NQYMGQU9PDzdv3qR99wgh\nhLxUNS2Gp4Sl/wNSUlIREVGA0tLPsHPnCnh7p8LGRj7YGDduHLZv346ysjIYGxtDV1cX7u7uKCws\nlGuXm5uLnJwcmJqawsDAQK7u+QBm9+7dePLkCXx9faGtrY3k5GSh7uDBgxg7dqxCcAYA3bp1Q1xc\nnMKsmYuLC3JycgBU/4+ac47+/ftDR0cHAJCeng5HR0dUVFQAAG7fvg1HR0dkZ2cDqA7gZElBLS0t\ncfr06bo/REIIIaQJaaBMGE1PVVUVd3Obw4GSf/I5lXA3tzlCPqPg4GC53EtHjx7ljDE+adIkpf2t\nXLmSM8b4xo0ba7xuRUUFb9++PReJRDw+Pl4h4aaxsTFnjHFjY2OFOm1tbc4Y47a2tnzQoEFCn6am\npioTbNaWgPP5cltb25f0hAkhhPyvQw15tGiNVhMXGroPMTEjAOj8U6KDmBgPhIbuU9r+wIEDAKpn\nuHbs2KGwbmvhwoUAgJkzZyrUHTlyROhn27ZtSExMBADY29sjISEB9+7dEw6xWAzGGMRisVz5vXv3\nUF5eDsYYUlNTcf/+faHPzMxMSKVSucPT0xOampqIi4tTqEtMTIS2tjYGDBigcO6z/RJCCCGvCgVa\nTVheXh5CQmLlEmcCQEnJQISExCIvL0+u/MmTJ9i/fz+MjY0xZMgQodzExERYpC7bd8/U1FQoMzY2\nBvB0rVVhYSGWLFkinM8YQ1VVlUIgVJejtoDI0tIS5eXl2LBhg0LdggULUFpaipYtW6J169b1eHKE\nEELIy0FrtJowH591SEjwV1qXkOAPH591cHF5GoAcPnwYJSUlGDNmDNTVn/5PIyAgALNnzwZQnd5h\n4cKFWLx4MWbMqF5U/9VXX2Hp0qVC+wULFgjrop71008/4erVq3Uev7e3Nzp27Cj8vnLlCvr06aO0\nbVhYGMLCwpTWHThwACKR/L8p0tPTYW5uXuexEEIIIS+CAq0mKjLyDKKjuwIwUtHCCNHRTjAyuiCU\ndO3aFSKRCGfOnEF5eblQPnfuXMydO1fu7JkzZ2LmzJkKvUokEmzfvh1qamrQ0NBAWVmZUHfs2DHs\n3r0bgOKXhs/i/yyCf+edd+QCLV1dXTg4OKg8t6KiAklJSVBTU0P79u1V9g8AGhoaNdYTQgghLwMF\nWk2QRCLB4sWREIuDa2wnFnvi2LHNwm8nJyeMGTMG+/fvx08//SSUjxgxAi4uLgCAM2fO4Pjx4xg1\nahT69+8PADh58iR+++03AICOjg5cXV0xYsQIBAUF4cGDBwrX3bNnD8aNG6dQLvPBBx/g0KFDCuUd\nO3bE7du3VZ6XkpKCtm3bwtDQEPHx8TXeOyGEEPI60BqtJmjOnGDExc1D7WnSGDIzXfFsFgUfHx8A\nwA8//CDMHLm5uWHevHmYN28e3n77bQDAoEGDhLJ+/frJ9bp582bMmjVL5VU//PBDlUlSRSIRDh06\npHLWauTIkSrPa9u2LQDg8ePHNfY/duzYWp4LIYQQ8nLQjFYTc+VKLCIjDQDUdcuX6leLjx9XL4x3\ncXGBuro6Lly4gNGjRwMAjhw5IiQalSUwPXz4sLBQ/fntdVS9ths+fLjCuqhbt27hxIkTcHBwgLu7\ne639uLm5qdyMubi4GIcPH4aWllaNwZSqdV6EEELIy0aZ4ZuYIUNm4eTJIACadTwjBMA8WFg4Ij29\n+nVb69at8fjxY3zxxRdYtWpVnXphjOHw4cPw8PAQymxsbPDgwQNUVFQoLEaX2bFjB7y9vfHBBx9g\n3z7lKSfqSvbqsGXLlnj06NG/6osQQgipq5oyw9OrwyZm2bJPYGKyrd7nde/eHqWlpbh69Sry8vLA\nGIOvry9u3LiB69evC68H33nnHQCAtrY2AODrr78W2gwYMEBl/0+ePFH6Gs/b2xvA0y8Dnz0MDQ3l\n+jA1Na3xlWBdXx0+uwE1IYQQ8irRq8Mmplevrhgx4hi2bk0FUJc9/apfGRoY6MPMzAwFBQUAqvct\ntLKygpWVFbZv345Lly5hyJAhcHV1xfnz5zFt2jRs2rQJISEhmDp1aq2pEkQiERwcHADIf3GYn5+P\nrKws6OnpwcLCQu6c518R2tvbC/sxPotzjoSEBIUtezQ0NGBnZ6d0PM9fixBCCPlf0qCp9N90JSUl\nvEuXORyo+mfbHVVHFTcze4czxviUKVP4xIkTuYmJCR85ciS/f/8+55zzbdu2cTU1NW5qasqzsrLk\ntuBZtmwZZ4xxZ2dnnp+frzAOa2trLhKJuFQq5ZxzPnLkSN6yZUseHx8vtAkPD+eMMT527NgXutfc\n3Fzu7u7OGWPc09OTM8a4gYEBd3V15YwxPn36dF5aWvpCfRNCCCF1gRq24GmsGvqZvfEiI6O4oeGe\nGgMtQ8M9/JNPZsjtdSgjFou5l5cXZ4zxli1b8uvXr3PO5fc6rKqq4h988AFnjPFu3brx1NRUuT6e\nDbTu3LnDGWNcQ0NDbl9DU1NTzhjj+vr6CnseOjg48PXr1yu9v0ePHvFly5ZxIyMjLhKJ+NKlS3lK\nSgpnjPFWrVrx4uJi/s471UGkjY0N37FjBwVchBBCXgnUEGjRq8Mmyt19INzcFuLQocFQnrQ0D25u\nsejUSfHLvhMnTmDy5Ml4/PgxOnXqhMOHD6Ndu3YK7Rhj2LVrFwoLC/Hbb7+hR48euHDhAjp06CDX\njnOOoKAgMMYglUpx7949uToAKCoqwpMnTxSukZOTI/y5oKAAx44dw759+3D8+HFUVlaiW7duOHbs\nGPr27YuUlBShra6uLqKiohAQECC83pyyfq9xAAAgAElEQVQzZw7c3d0xZMgQDBgwgF4fEkIIeeVo\nMXwTFhbmD3v7dUrr7O3XISxM+fY89vb2KC0txZw5c3DlyhWlQZaMpqYmjh07hilTpqBPnz5wdHSU\nq+ecgzGGrVu3Kt3LMDw8HEB1klJl9StWrBD6ioiIwMSJExEZGYnu3btj3759uHbtGvr27at0bOrq\n6li7di3i4uKE/GC7du3CpEmTcPDgQdUPjhBCCHlJaEarCTMyMsLcuU7w94+W21i6WbMzmDu3K4yM\njJQmBm3bti1SUlKULjxnjCmco66uju3bt6OsrEyuTlnb5/F6pPH47LPPkJeXh6FDh6JXr151Ps/R\n0RFbtmzBhg0bcOLECVy9elXYu5EQQgh5lSiPVhPHOcegQX6Ijl4JQAeABG5uAYiKCq41CHodCgsL\nkZWVBX19fZiamjb0cAghhJB6ozxa/8MYY9i+3Q9t2lTve2htHYzw8Hn1DrJWrVoFkUiETZs2vfBY\nUlJShDxWsoSi+vr/3969x1VV5Y0f/2wuomIC3sDxhpqImjrerdEUnXq0RklNmZKUHFObYLxkMyE0\nVqNpPy+gWWqaotao+YzXnLJUvDzq1JAj6kOBv1Ag7waKAWLCev7YnM05nHMQ8RxA+L5fr/3isNfe\n+6yz19nsxVprf1d9AgICpJIlhBCiWpKKVg3g79+KceO8qF17A+PGedOqVUtiY2PtBvPct2+f3WPd\nT0ujqXJ3Py1pc+bMKTUQ6dChQykoKCj38YUQQghHkopWNVdQUEBoaARvvPESo0Z9w+zZky3S69at\nS/PmzWnevDnu7u4AREVFWVVgZs2aBUBERIRVWlBQkNX72mJeSStvha1x48YEBgYaS9OmTQE9IKqr\nqyt79uxhzJgx3Lp1q1zHF0IIIRxJKlrV3OzZK/jHP/owZ85qPv74PVxdXS3Sx4wZQ3p6OmfOnMHd\n3R0vLy+GDRtmUZkJDAykcePGgD4NTsm0Vq30CPShoaFlmiJHKUXTpk1L3TYyMtLm55k8eTJJSUkk\nJSURFxeHq6srmqbx3nvvsWHDBtzc3Ni2bRt9+/bl9OnTTjyzQgghxN3JU4fV2LlzaWzYcINbt15h\n3bp3mDAhDX9/29Py7N27l9zcXEJDQ4mKiiIqKsoiff78+cyaNYvo6Gj++Mc/2jxGnTp1qFevnt38\nKKXIyckBwNPTs9QuRNNcirZcu3aNt99+mw8++AAXFxeWLl3Kyy+/bBx3/PjxnDx5kh49ejB16lSi\noqLw8vKyezwhhBCipqmc0K7VSGFhoQoKmqogtygSfK4KCpqqCgsLlVJKxcTEWESEDwsLU5qmqV27\ndhnT4pR12b59e5nyZIrc7uLioi5fvnzPnyk5OVlNnTpV1atXT2maptq0aaMOHTpktV1GRoYaPHiw\nkT8fHx/11ltvqZ9++ume31MIIYS4G0qJDC9dh9XUihWf8vXXweghHQDq8PXXw1mx4lOrbX/++We2\nbNlCw4YNGTJkiLHe19e31K7Dhg0bAmUf3K7KMUZLKcX7779Pv379CAwMZOnSpWiaxptvvsnJkyfp\n37+/1T7Nmzdn7969rFu3jpYtW3L9+nXefPNNWrRowcSJE8nOzi7TewshhBD3Sypa1VBmZiaxsYkW\nQUoBcnMHERubSGZmpsX6bdu2kZuby1NPPYWbW3FvcmRkpDEeavr06QBER0cb61555RWr9/70009x\nc3OzuZgizCulaNasmc1t3N3dWbVqlXE8TdOIj4/n6NGjxmD9unXr8ve//50ePXpYjRczX+bOnWuM\nSWvcuDF5eXlcu3aN+vXrO+AsCyGEEHcnY7SqoZdeWkhKiu3pdVJSZvLSSwvp37+Jsa5r1664uLiw\nf/9+bt++bayfNm0a06ZNs9g/PDyc8PBwu++tlKKwsNBuK5dpvb0WLaWUVdqiRYto1KgRM2fOJCAg\ngKtXr1rMgWh+vJLvq4qmADp37hwffvghoaGhdvMuhBBCOJpUtKqZnTv3Ex/fFdsTSQM0ID6+Cw0a\nHDbWdOnShVGjRrFlyxY2btxorA8ODja65vbv388///lPRowYwW9+8xsA9uzZw1dffWVx9JCQEEJC\nQhz6mVq1asWKFSsAKCwstEpPTk6mQ4cOaJpGVlaW3RarqVOnOjRfQgghxN1I12E1kpeXR3T0TrKy\nxpS6XVZWCLt3W4Y+ME26vH79eqNVKCgoiBkzZjBjxgz69esHwODBg411jz766D3nce3atTz11FMO\nDSpa1vFeQgghREWTFq1qZOrUGE6dmsHdp7DUuHhxAFDcqtW/f3/c3Nw4fPgwI0eOBGDHjh2kp6cD\n8M033wD6eK7U1FQAjh49etc8rVq1itzcXJ599ln8/PxYuHAh3333Ha+99hqLFy+22DY1NdWItVVe\nUukSQghRlUhFq5pISEhk505voGUZ99C7Fq9d0wfGe3h44O3tzbVr1zh//jwA8fHxxMfHW+y1b98+\niyl6bI3FCgsLo2PHjkyePJk33niDK1eu0K1bN5o1a8Ynn3xCnz59iI2NZcCAAQQHB1NQUMCjjz5K\nQkIC27dvZ/jw4TZzXFBQQKdOnazWm8aVKaXo1asXLi6WDbVNmjTh0KFDZTwvQgghRPVXKXEwHmT/\n9V/hCvKLYmaVZYlRoKlf/SpQ5eXlqYSEBOXq6qpcXFxUenq6SkxMVCdOnFCPPfaY0jRNDRgwQGma\npurUqaM0TVNz5sxRiYmJKjExUd24ccPIx/Hjx5WmacrDw0Pl5OQoX19f5eLiog4ePGhsM3v2bKVp\nmmrevLm6ffu2UkqpRYsWGbGxbt26ZfMz/vLLL0YcrpKLKWaWrbSmTZs69+QLIYSo0ZA4WtXfnDkT\n8fVdfc/7de3alqZNm9KrVy8KCwt5/PHHadGiBV26dOHbb7/l2LFjDBkyhKFDhwL6FDju7u7ExsbS\nqFEjunTpYjH4fPfu3QD06dOHunXrAtbdeZGRkYwZM4bPP//cCNkQERFB27ZtOXv2LIsWLbKZVzc3\nNwoLCykoKLBYkpKSAIzB8CXTL1y4cM/nRQghhHAEqWhVEz17diU4+DqQVsY99C5DX9/G/O53v6NJ\nkyYEBwezZs0aAD766CMmTZqEr68va9euNSpL7dq1469//Ss//fQTI0eO5MaNG8YRlVJ8+qkeEHXE\niBF239nDw4NNmzbxyCOPADBgwAAWL15sTFy9ePFiY6qeslDlCIQqhBBCVASpaFUjsbHT6dw5hlJa\nMIsomjY9iKbprUAbNmzg0qVLbNu2DR8fH8LCwnjppZfw8fHh888/x9fX12LvWbNmMWrUKL755hsG\nDhxoDJj/7LPPOH36NG5ubowePbpMec7JyeHw4cNER0fz3HPP0axZMzIzM41wDmVhPk6srFHqhRBC\niIogFa1qpE6dOsydOxwfH+tpdsz5+HzK008/YrX+iy++ICAggPXr19OpUyeOHTvGr3/9a6vtNE3j\nk08+4YknniAxMZHu3buTlJTE3LlzAXj66adp1qyZxT4lo9GbJCcnA9CiRQtq165tBEg9cuTI3T9w\nEWnREkIIUVXJU4fVzLBhgwgKmsXWrU9gO2hpJkFBiXTq1M4qJSAggFu3bjF16lTmz5+Ph4eH3fep\nVasWu3fvZtKkSVy6dInAwECCg4M5deoUr7/+urFd06ZNuXLlCmPGjKFJkyZWx7l+/ToAvXv3BmDS\npEn07dvXCIoKsGzZMpYtW2Y3L3d76tDc9OnTmTx5st10IYQQwpGkolUNrVo1k9OnF5KS8o5VWkDA\nQlatmsmGDRus0tq0acO5c+do0MC6gqZpmlW3nJubG2vWrCE/Px8XFxciIyOZMGGCRVfj4sWLmTRp\nEmfPnuXixYtWx3V3d6dbt25ER0cD8NBDD1lUsgB++uknUlJSSu0WNKX98MMPdrcxHUsIIYSoKFV1\nQIuSLqD7s3z5JmbO9LWYWNrTcz8LFlzl5ZcdO0WOEEIIUZMV/bNvs04lY7SqqSlTQujTZweQV7Qm\nj969dzJlSunT8wghhBDCcaSiVQUcP37c4YO4NU1jzZrptGwZA0CrVjGsXTvDIU/lHTx4kNatWzNj\nxgyb6c8++yxdunRh//79vPnmmwQHB9ucDFoIIYSo7qSiVckSExPp2bMnrVq14t133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"text": [
"<matplotlib.figure.Figure at 0x10a34e790>"
]
}
],
"prompt_number": 23
}
],
"metadata": {}
}
]
}