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@naturale0
Last active October 29, 2016 08:41
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citation prediction
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np\n",
"import scipy as sp\n",
"import scipy.stats\n",
"import statsmodels.api as sm\n",
"import matplotlib as mpl"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 자료 수집 및 전처리\n",
"- [Elsevier API](http://dev.elsevier.com)에서 논문의 citation overview를,\n",
"- [MEDLINE/PubMed](https://www.nlm.nih.gov/databases/leased.html)에서 2013년 12월에 출간된 거의 모든 생명과학/의학 분야 논문의 abstract와 기본정보를,\n",
"- [한국학술지인용색인](https://www.kci.go.kr/kciportal/ss-mng/bbs/bbsSCOPUSList.kci?boardBean.boarSequ=000000000606)에서 제공하는 <U>Scopus list</U>에서 저널의 SJR 정보를 가져왔습니다.\n",
"\n",
"\n",
"*자료를 수집하는 과정에서 어이없는 질문에도 성심껏 답해주신 Scopus API 문의 담당자님께 감사의 말씀을 드립니다!*"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>y_2_cited</th>\n",
" <th>a_type</th>\n",
" <th>ISSN</th>\n",
" <th>j_type</th>\n",
" <th>SJR</th>\n",
" </tr>\n",
" <tr>\n",
" <th>PMID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>24348913</th>\n",
" <td>54</td>\n",
" <td>Article</td>\n",
" <td>1932-6203</td>\n",
" <td>Print</td>\n",
" <td>3.705</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24276553</th>\n",
" <td>7</td>\n",
" <td>Article</td>\n",
" <td>0017-9078</td>\n",
" <td>Print</td>\n",
" <td>1.012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24297959</th>\n",
" <td>5</td>\n",
" <td>Article</td>\n",
" <td>1465-3125</td>\n",
" <td>Print</td>\n",
" <td>0.729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24340911</th>\n",
" <td>0</td>\n",
" <td>Article</td>\n",
" <td>0016-9900</td>\n",
" <td>Print</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24274405</th>\n",
" <td>34</td>\n",
" <td>Review</td>\n",
" <td>0093-691X</td>\n",
" <td>Print</td>\n",
" <td>2.053</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" y_2_cited a_type ISSN j_type SJR\n",
"PMID \n",
"24348913 54 Article 1932-6203 Print 3.705\n",
"24276553 7 Article 0017-9078 Print 1.012\n",
"24297959 5 Article 1465-3125 Print 0.729\n",
"24340911 0 Article 0016-9900 Print NaN\n",
"24274405 34 Review 0093-691X Print 2.053"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cit1 = pd.read_csv(\"MEDLINE_CITATION_STATS.csv\", index_col=[\"PMID\"], names=[\"PMID\", \"y_2_cited\", \"a_type\", \"ISSN\", \"j_type\", \"SJR\"])\n",
"cit1.head()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"PMID\n",
"24348913 Article\n",
"24274405 Review\n",
"24362808 Letter\n",
"24315471 Editorial\n",
"24252517 Short Survey\n",
"24362744 Note\n",
"24200142 Conference Paper\n",
"24354862 Article in Press\n",
"24162991 Chapter\n",
"24377114 Erratum\n",
"Name: a_type, dtype: object"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cit1[cit1[\"SJR\"].isnull()][[\"a_type\", \"j_type\", \"y_2_cited\", \"SJR\"]].head(3)\n",
"cit1[\"a_type\"].drop_duplicates()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* 누락된 SJR 정보를 존재하는 SJR의 중앙값으로 imputation했습니다."
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>y_2_cited</th>\n",
" <th>a_type</th>\n",
" <th>ISSN</th>\n",
" <th>j_type</th>\n",
" <th>SJR</th>\n",
" </tr>\n",
" <tr>\n",
" <th>PMID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>24348913</th>\n",
" <td>54</td>\n",
" <td>Article</td>\n",
" <td>1932-6203</td>\n",
" <td>Print</td>\n",
" <td>3.705</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24276553</th>\n",
" <td>7</td>\n",
" <td>Article</td>\n",
" <td>0017-9078</td>\n",
" <td>Print</td>\n",
" <td>1.012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24297959</th>\n",
" <td>5</td>\n",
" <td>Article</td>\n",
" <td>1465-3125</td>\n",
" <td>Print</td>\n",
" <td>0.729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24340911</th>\n",
" <td>0</td>\n",
" <td>Article</td>\n",
" <td>0016-9900</td>\n",
" <td>Print</td>\n",
" <td>2.632</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24274405</th>\n",
" <td>34</td>\n",
" <td>Review</td>\n",
" <td>0093-691X</td>\n",
" <td>Print</td>\n",
" <td>2.053</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" y_2_cited a_type ISSN j_type SJR\n",
"PMID \n",
"24348913 54 Article 1932-6203 Print 3.705\n",
"24276553 7 Article 0017-9078 Print 1.012\n",
"24297959 5 Article 1465-3125 Print 0.729\n",
"24340911 0 Article 0016-9900 Print 2.632\n",
"24274405 34 Review 0093-691X Print 2.053"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.preprocessing import LabelBinarizer\n",
"lb = LabelBinarizer()\n",
"atypes = cit1[\"a_type\"].drop_duplicates().values\n",
"atypes = lb.fit_transform(atypes)\n",
"\n",
"cit2 = cit1.copy()\n",
"for atype in atypes:\n",
" cit2[\"SJR\"] = cit1[\"SJR\"].fillna(cit1[\"SJR\"].median())\n",
" \n",
"cit2.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* 분석을 위해 카테고리 변수를 라벨 인코더로 인코딩했습니다."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[nan 'Electronic' 'Print']\n",
"['Article' 'Article in Press' 'Chapter' 'Conference Paper' 'Editorial'\n",
" 'Erratum' 'Letter' 'Note' 'Review' 'Short Survey']\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/numpy/lib/arraysetops.py:200: FutureWarning: numpy not_equal will not check object identity in the future. The comparison did not return the same result as suggested by the identity (`is`)) and will change.\n",
" flag = np.concatenate(([True], aux[1:] != aux[:-1]))\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>y_2_cited</th>\n",
" <th>a_type</th>\n",
" <th>ISSN</th>\n",
" <th>j_type</th>\n",
" <th>SJR</th>\n",
" </tr>\n",
" <tr>\n",
" <th>PMID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>24348913</th>\n",
" <td>54</td>\n",
" <td>0</td>\n",
" <td>1932-6203</td>\n",
" <td>2</td>\n",
" <td>3.705</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24276553</th>\n",
" <td>7</td>\n",
" <td>0</td>\n",
" <td>0017-9078</td>\n",
" <td>2</td>\n",
" <td>1.012</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24297959</th>\n",
" <td>5</td>\n",
" <td>0</td>\n",
" <td>1465-3125</td>\n",
" <td>2</td>\n",
" <td>0.729</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24340911</th>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0016-9900</td>\n",
" <td>2</td>\n",
" <td>2.632</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24274405</th>\n",
" <td>34</td>\n",
" <td>8</td>\n",
" <td>0093-691X</td>\n",
" <td>2</td>\n",
" <td>2.053</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" y_2_cited a_type ISSN j_type SJR\n",
"PMID \n",
"24348913 54 0 1932-6203 2 3.705\n",
"24276553 7 0 0017-9078 2 1.012\n",
"24297959 5 0 1465-3125 2 0.729\n",
"24340911 0 0 0016-9900 2 2.632\n",
"24274405 34 8 0093-691X 2 2.053"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.preprocessing import LabelEncoder\n",
"lb = LabelEncoder()\n",
"\n",
"cit2[\"j_type\"] = lb.fit_transform(cit2[\"j_type\"])\n",
"print lb.classes_\n",
"cit2[\"a_type\"] = lb.fit_transform(cit2[\"a_type\"])\n",
"print lb.classes_\n",
"\n",
"cit2.head()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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vJ5lM5qK0eJDvo91Y8QQWBiuegN3uOwt39M+pA1+xPBUod6AXkS/k5De9cDhM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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x104221410>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"model = sm.OLS.from_formula(\"y_2_cited ~ C(j_type) + C(a_type) + SJR + 1\", data=cit2)\n",
"res = model.fit()\n",
"\n",
"plt.figure(figsize=(7, 5))\n",
"plt.subplot(121)\n",
"plt.scatter(cit2[\"SJR\"], cit2[\"y_2_cited\"], color=\"r\", alpha=0.2)\n",
"plt.subplot(122)\n",
"plt.scatter(cit2[\"SJR\"], res.fittedvalues, alpha=0.2)\n",
"plt.ylim(-100, 800)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 상관관계가 있을법한 feature 추가\n",
"- SJR과 a_type, j_type이 y_2_cited와 상관관계를 전혀 갖고있지 않아 상관관계를 가질 법한 새로운 수치를 탐색했습니다.\n",
"- http://http://www.scimagojr.com/ 에서 H_index, cite/doc, ref/doc 세 개의 수치를 추가했습니다."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[nan 'Electronic' 'Print']\n",
"['Article' 'Article in Press' 'Chapter' 'Conference Paper' 'Editorial'\n",
" 'Erratum' 'Letter' 'Note' 'Review' 'Short Survey']\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>c_a_type</th>\n",
" <th>c_j_type</th>\n",
" <th>SJR</th>\n",
" <th>H_index</th>\n",
" <th>cite_doc</th>\n",
" <th>ref_doc</th>\n",
" <th>y_2_cited</th>\n",
" </tr>\n",
" <tr>\n",
" <th>PMID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>24348913</th>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>3.705</td>\n",
" <td>181</td>\n",
" <td>3.86</td>\n",
" <td>46.34</td>\n",
" <td>54</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24276553</th>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>1.012</td>\n",
" <td>55</td>\n",
" <td>0.72</td>\n",
" <td>18.72</td>\n",
" <td>7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24297959</th>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>0.729</td>\n",
" <td>37</td>\n",
" <td>0.72</td>\n",
" <td>13.70</td>\n",
" <td>5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24340911</th>\n",
" <td>0</td>\n",
" <td>2</td>\n",
" <td>2.632</td>\n",
" <td>4</td>\n",
" <td>0.04</td>\n",
" <td>0.00</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24274405</th>\n",
" <td>8</td>\n",
" <td>2</td>\n",
" <td>2.053</td>\n",
" <td>102</td>\n",
" <td>2.05</td>\n",
" <td>39.92</td>\n",
" <td>34</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" c_a_type c_j_type SJR H_index cite_doc ref_doc y_2_cited\n",
"PMID \n",
"24348913 0 2 3.705 181 3.86 46.34 54\n",
"24276553 0 2 1.012 55 0.72 18.72 7\n",
"24297959 0 2 0.729 37 0.72 13.70 5\n",
"24340911 0 2 2.632 4 0.04 0.00 0\n",
"24274405 8 2 2.053 102 2.05 39.92 34"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"total = pd.read_csv(\"TOTAL_FEATURES_2.csv\", index_col=[\"PMID\"])\n",
"total[\"SJR\"] = total[\"SJR\"].fillna(total[\"SJR\"].median())\n",
"\n",
"from sklearn.preprocessing import LabelEncoder\n",
"lb = LabelEncoder()\n",
"\n",
"total[\"c_j_type\"] = lb.fit_transform(total[\"c_j_type\"])\n",
"print lb.classes_\n",
"total[\"c_a_type\"] = lb.fit_transform(total[\"c_a_type\"])\n",
"print lb.classes_\n",
"\n",
"del total[\"ISSN\"]\n",
"total.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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8PW+Lyybill2lmbOulNcjAgknc9owuKs08xDVSxvKqRz91W4zw73VhEAQ2Frk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\n7duGdyYC+MGr72TXqdUqDPbYAax+PU+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GEYPPfcczAYVl5HOMfXexMBuzZX1oD09hUH5xkUcjEn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cjJ1OLtv3SkZPb2fKTVKrFAa8CXPncZAgAGbR4YtCr4vCPYe7Qdm66tRPtFG3QaJf78sRUr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\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xxhhjjDHGGGOMsacVJ+sYY4wxxhhjjDHGGGsnOFnHGGOMMcYYY4wxxlg7wck6xhhjjDHG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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a2fe850>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.pairplot(total)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<table class=\"simpletable\">\n",
"<caption>OLS Regression Results</caption>\n",
"<tr>\n",
" <th>Dep. Variable:</th> <td>y_2_cited</td> <th> R-squared: </th> <td> 0.331</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Model:</th> <td>OLS</td> <th> Adj. R-squared: </th> <td> 0.331</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Method:</th> <td>Least Squares</td> <th> F-statistic: </th> <td> 3164.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Date:</th> <td>Fri, 28 Oct 2016</td> <th> Prob (F-statistic):</th> <td> 0.00</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Time:</th> <td>19:45:14</td> <th> Log-Likelihood: </th> <td> -76864.</td> \n",
"</tr>\n",
"<tr>\n",
" <th>No. Observations:</th> <td> 19183</td> <th> AIC: </th> <td>1.537e+05</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Df Residuals:</th> <td> 19180</td> <th> BIC: </th> <td>1.538e+05</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Df Model:</th> <td> 3</td> <th> </th> <td> </td> \n",
"</tr>\n",
"<tr>\n",
" <th>Covariance Type:</th> <td>nonrobust</td> <th> </th> <td> </td> \n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <td></td> <th>coef</th> <th>std err</th> <th>t</th> <th>P>|t|</th> <th>[95.0% Conf. Int.]</th> \n",
"</tr>\n",
"<tr>\n",
" <th>H_index</th> <td> -0.0052</td> <td> 0.002</td> <td> -3.302</td> <td> 0.001</td> <td> -0.008 -0.002</td>\n",
"</tr>\n",
"<tr>\n",
" <th>cite_doc</th> <td> 1.6609</td> <td> 0.049</td> <td> 34.208</td> <td> 0.000</td> <td> 1.566 1.756</td>\n",
"</tr>\n",
"<tr>\n",
" <th>ref_doc</th> <td> 0.0593</td> <td> 0.003</td> <td> 17.311</td> <td> 0.000</td> <td> 0.053 0.066</td>\n",
"</tr>\n",
"</table>\n",
"<table class=\"simpletable\">\n",
"<tr>\n",
" <th>Omnibus:</th> <td>38214.789</td> <th> Durbin-Watson: </th> <td> 1.993</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Prob(Omnibus):</th> <td> 0.000</td> <th> Jarque-Bera (JB): </th> <td>233170693.536</td>\n",
"</tr>\n",
"<tr>\n",
" <th>Skew:</th> <td>15.865</td> <th> Prob(JB): </th> <td> 0.00</td> \n",
"</tr>\n",
"<tr>\n",
" <th>Kurtosis:</th> <td>542.180</td> <th> Cond. No. </th> <td> 74.7</td> \n",
"</tr>\n",
"</table>"
],
"text/plain": [
"<class 'statsmodels.iolib.summary.Summary'>\n",
"\"\"\"\n",
" OLS Regression Results \n",
"==============================================================================\n",
"Dep. Variable: y_2_cited R-squared: 0.331\n",
"Model: OLS Adj. R-squared: 0.331\n",
"Method: Least Squares F-statistic: 3164.\n",
"Date: Fri, 28 Oct 2016 Prob (F-statistic): 0.00\n",
"Time: 19:45:14 Log-Likelihood: -76864.\n",
"No. Observations: 19183 AIC: 1.537e+05\n",
"Df Residuals: 19180 BIC: 1.538e+05\n",
"Df Model: 3 \n",
"Covariance Type: nonrobust \n",
"==============================================================================\n",
" coef std err t P>|t| [95.0% Conf. Int.]\n",
"------------------------------------------------------------------------------\n",
"H_index -0.0052 0.002 -3.302 0.001 -0.008 -0.002\n",
"cite_doc 1.6609 0.049 34.208 0.000 1.566 1.756\n",
"ref_doc 0.0593 0.003 17.311 0.000 0.053 0.066\n",
"==============================================================================\n",
"Omnibus: 38214.789 Durbin-Watson: 1.993\n",
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 233170693.536\n",
"Skew: 15.865 Prob(JB): 0.00\n",
"Kurtosis: 542.180 Cond. No. 74.7\n",
"==============================================================================\n",
"\n",
"Warnings:\n",
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
"\"\"\""
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model = sm.OLS.from_formula(\"y_2_cited ~ + H_index + cite_doc + ref_doc + 0\", data=total)\n",
"res = model.fit()\n",
"res.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 회귀분석 시도에서 내린 결론:\n",
"- 선형 및 다항회귀 시도를 했을 때 좋은 설명력을 얻어내지 못했습니다.\n",
"\n",
"\n",
"1. SJR(저널의 영향력을 나타내는 수치)과 y_2_cited 사이에는 의미있는 관계가 **전혀 없었습니다**.\n",
"2. y_2_cited를 정규분포를 따르는 샘플로 전처리한 후 사용했다면?\n",
" - exponential distribution처럼 낮은 값에 분포가 치중되어있습니다다.\n",
" - 정규분포와 유사하게 변형하려면 무슨 전처리를 해야하는지 모르겠습니당 ^오^\n",
"2. j_type이 2인 경우 평균적인 y_2_cited가 크게 나타났습니다.\n",
" - 직관적으로는 이해할 수 있는 결과입니다. 대체로 질좋은 저널이 print 형식으로 출판되므로..\n",
" - 각 저널의 2_year_cited의 max 값을 feature로 사용했다면 관계를 더 잘 설명하지 않았을까요?\n",
" - label skewness에 의한 것일 수도 있습니다 (샘플이 충분히 많았으니 아마 아닐 것 같기는 합니다만)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"---\n",
"\n",
"## 회귀 문제에서 분류 문제로 전환\n",
"- 약 1/5 정도의 논문이 출간 후 2년간 한 회도 인용되지 못함을 발견했습니다.\n",
"- 주제를 살짝 틀어서 **출간 직후 2년 간 한 회라도 인용될 논문과 그렇지 않을 논문을 예측**해보기로 했습니다.\n",
"\n",
"\n",
"- 주제를 전환하며 회귀분석시 유의한 영향이 없었던 feature를 제거하여 새로운 데이터프레임을 생성했습니다."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- y_2_cited를 카테고리 변수로 바꾸었습니다.\n",
" - 출간 직후 2년간 한 회도 인용되지 못한 경우 0,\n",
" - 한 회 이상 인용된 경우 1"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>SJR</th>\n",
" <th>H_index</th>\n",
" <th>cite_doc</th>\n",
" <th>ref_doc</th>\n",
" <th>y_2_cited</th>\n",
" </tr>\n",
" <tr>\n",
" <th>PMID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>24348913</th>\n",
" <td>3.705</td>\n",
" <td>181</td>\n",
" <td>3.86</td>\n",
" <td>46.34</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24276553</th>\n",
" <td>1.012</td>\n",
" <td>55</td>\n",
" <td>0.72</td>\n",
" <td>18.72</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24297959</th>\n",
" <td>0.729</td>\n",
" <td>37</td>\n",
" <td>0.72</td>\n",
" <td>13.70</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24340911</th>\n",
" <td>2.632</td>\n",
" <td>4</td>\n",
" <td>0.04</td>\n",
" <td>0.00</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24274405</th>\n",
" <td>2.053</td>\n",
" <td>102</td>\n",
" <td>2.05</td>\n",
" <td>39.92</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24283573</th>\n",
" <td>4.135</td>\n",
" <td>262</td>\n",
" <td>4.62</td>\n",
" <td>44.59</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24321303</th>\n",
" <td>3.000</td>\n",
" <td>30</td>\n",
" <td>3.34</td>\n",
" <td>59.61</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23983022</th>\n",
" <td>1.138</td>\n",
" <td>51</td>\n",
" <td>1.25</td>\n",
" <td>21.90</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24166983</th>\n",
" <td>3.662</td>\n",
" <td>104</td>\n",
" <td>4.32</td>\n",
" <td>44.76</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24319691</th>\n",
" <td>2.615</td>\n",
" <td>59</td>\n",
" <td>2.81</td>\n",
" <td>46.09</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" SJR H_index cite_doc ref_doc y_2_cited\n",
"PMID \n",
"24348913 3.705 181 3.86 46.34 1\n",
"24276553 1.012 55 0.72 18.72 1\n",
"24297959 0.729 37 0.72 13.70 1\n",
"24340911 2.632 4 0.04 0.00 0\n",
"24274405 2.053 102 2.05 39.92 1\n",
"24283573 4.135 262 4.62 44.59 1\n",
"24321303 3.000 30 3.34 59.61 1\n",
"23983022 1.138 51 1.25 21.90 1\n",
"24166983 3.662 104 4.32 44.76 1\n",
"24319691 2.615 59 2.81 46.09 1"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pd.options.mode.chained_assignment = None # chained indexing 경고 안 뜨도록\n",
"\n",
"total_2 = total[total[\"c_a_type\"]!=1]\n",
"del total_2[\"c_a_type\"]\n",
"del total_2[\"c_j_type\"]\n",
"\n",
"total_2[\"y_2_cited\"][total_2[\"y_2_cited\"]!=0] = 1 # citation 안 된 것\n",
"total_2[\"y_2_cited\"][total_2[\"y_2_cited\"]==0] = 0 # citation 된 것\n",
"\n",
"total_3 = total_2.copy()\n",
"#print total_3.head(3)\n",
"\n",
"del total_2[\"SJR\"]\n",
"total_3.head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Random forest로 각 feature의 중요도를 살펴보았습니다."
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['SJR', 'H_index', 'cite_doc', 'ref_doc']\n",
"[ 0.12025118 0.08972699 0.46564032 0.3243815 ]\n"
]
}
],
"source": [
"X2 = total_3.iloc[:, :-1].values\n",
"y = total_3.ix[:, -1].values\n",
"\n",
"from sklearn.ensemble import RandomForestClassifier\n",
"rfc = RandomForestClassifier(criterion=\"entropy\", max_depth=10)\n",
"rfc_model = rfc.fit(X2, y)\n",
"\n",
"print list(total_3.columns)[:-1]\n",
"print rfc_model.feature_importances_"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" * training finished!\n"
]
}
],
"source": [
"from sklearn.cross_validation import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.svm import SVC\n",
"from sklearn.metrics import classification_report\n",
"from sklearn.ensemble import GradientBoostingClassifier, VotingClassifier\n",
"\n",
"X = total_3.ix[:, :-1].values\n",
"y = total_3.ix[:, -1].values\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.75)\n",
"\n",
"lr = LogisticRegression()\n",
"lr_model = lr.fit(X_train, y_train)\n",
"\n",
"rfc = RandomForestClassifier(criterion=\"entropy\", max_depth=10)\n",
"rfc_model = rfc.fit(X_train, y_train)\n",
"\n",
"gbc = GradientBoostingClassifier(n_estimators=100, learning_rate=0.05, max_depth=10)\n",
"gbc_model = gbc.fit(X_train, y_train)\n",
"\n",
"vc = VotingClassifier([(\"svc\", svc), (\"log\", lr)], voting=\"soft\")\n",
"vc_model = vc.fit(X_train, y_train)\n",
"\n",
"svc = SVC(kernel=\"rbf\", probability=True, gamma=1)\n",
"svc_model = svc.fit(X_train, y_train)\n",
"\n",
"print \" * training finished!\""
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LOGISTIC REGRESSION (non-regularized)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.66 0.35 0.46 981\n",
" 1 0.85 0.95 0.90 3813\n",
"\n",
"avg / total 0.81 0.83 0.81 4794\n",
"\n",
"-----------------------------------------------------\n",
"RANDOM FOREST\n",
" precision recall f1-score support\n",
"\n",
" 0 0.69 0.41 0.51 981\n",
" 1 0.86 0.95 0.91 3813\n",
"\n",
"avg / total 0.83 0.84 0.82 4794\n",
"\n",
"-----------------------------------------------------\n",
"GRADIENT BOOSTING\n",
" precision recall f1-score support\n",
"\n",
" 0 0.66 0.43 0.52 981\n",
" 1 0.86 0.94 0.90 3813\n",
"\n",
"avg / total 0.82 0.84 0.82 4794\n",
"\n",
"-----------------------------------------------------\n",
"VOTING CLASSIFIER (all three above)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.69 0.37 0.48 981\n",
" 1 0.86 0.96 0.90 3813\n",
"\n",
"avg / total 0.82 0.84 0.82 4794\n",
"\n",
"SUPPORT VECTOR MACHINE (radial basis kernel)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.65 0.41 0.50 981\n",
" 1 0.86 0.94 0.90 3813\n",
"\n",
"avg / total 0.82 0.83 0.82 4794\n",
"\n",
"-----------------------------------------------------\n"
]
}
],
"source": [
"print \"LOGISTIC REGRESSION (non-regularized)\"\n",
"print classification_report(y_test, lr.predict(X_test))\n",
"print \"-\"*53\n",
"print \"RANDOM FOREST\"\n",
"print classification_report(y_test, rfc.predict(X_test))\n",
"print \"-\"*53\n",
"print \"GRADIENT BOOSTING\"\n",
"print classification_report(y_test, gbc.predict(X_test))\n",
"print \"-\"*53\n",
"print \"VOTING CLASSIFIER (all three above)\"\n",
"print classification_report(y_test, vc.predict(X_test))\n",
"print \"SUPPORT VECTOR MACHINE (radial basis kernel)\"\n",
"print classification_report(y_test, svc.predict(X_test))\n",
"print \"-\"*53"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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IkgRAmV5evHgxHnvssYQnisMXnDRo0MDyftnQuXNnnHTSSXjrrbd0uVIjkQgWL16MQCCA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\n+1iyZDFVVXuxWKwsXryEbt3Sm6Yw8cEH7/HXv97Ps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d1uG7rQudHZfGdhYRFLlz7MxRdf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V/+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\nY3YPEUC+fPkYNmw0JUve6fUzixfP54UXRtqNKECnTl3p2bMPJpPJ6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2tARQld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\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kMC5PoMbn0WOXs+40qHUDSLrd9fjsm87FD+NCEhRqtSa27dDtdpBS/z5A9biejMi6GRd5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bz/O94xvRrC6B6wCv3SGxc9OGD8F8vpl6k+wGToa0tAIBDI+nPl9Xpwu93hvyVJCrEZ7J+FqYHm\nO+vq9uB0uvjwww958803ACgqKuSII44AYvsUc4nYDV36m+xWsXsGVUdH0VRalA4KQoOdPT1n0c9H\nNiSt3bj5gXcCy53r2SdE+pFOCozkJEaFbZQkayibqKJpiTfZEhJ5ug1NUzm5bRSbChuj/lWgXHdw\nmn9cr65pNgZFe4OuAWtX0v5cJKb62hJQV7eHodmQLoxCJn3nfhuszpp1AjNnHg8YD7EkSWzatJEp\nUwxt6yOPnM7777+LIIhMmjQVWZaRZTfDhlWzZcsmPvvsE84774fh9y5b9kif7Ln00gvZtWsHAEOG\nDGXSpEnMmTMXWbaFH3BV7Z+gpC9ZAo0o9RddQ48qv2ik1+xvZjbTnfpNFeOp5Nedbl5nNy2Cnxq9\ngBkMj3lPogfctCNeZnEWw3C2HcPLjq00yV4KVDszA8P4jjCu17Z2zXoDOb03zGsaW8aKUKb0dcgv\nHfQuYDWzA3upqqrKqn1OpwuvN5Ih258DVRhYvrOpqZFzzz2TQMCPxWKhurqamTNnMn36MQgC4bJ4\nJnpHe4O+bLJ1IgGqpmmgd/WdqWUWI1Wh1DbZvcEMhjPOW8I77KBDUJigl3AosYFMT5vseJnFcxiD\nq1VnjWsPHjFIleLmpOAoviVU99rW3vbdZwoRCql4vlPO6ua+K9INWKM+mfVef8is79xvg1W73ZDD\n9Ho9LFr0cy699HLuv//u8L87nS48Hg9erzcmsnc4nHR0dMS8br63Lzj77HPp7PQxa9bxlJdXcN11\nV/Pkkyu46KKLkGXLAHC66WcJdF3DpYmoepAYcvdQWaMQN5KQXlbLcG561spabtycyoHxlelCiPeA\nm/0/idoZjhGGc0xwOHHYWXqNWOefm4A12eRthJsyd4Fq5PvTC1hN7N6dfYc7efIU1q5dw8yZx/P5\n5+sHBBdhXzCQfGdBQSHnnTeHiooKjj12FlarlfPPn82kSVOZPn16r+gAM410N9nmRtARFFDFWDYU\nQZSQBYki3EhC6utAT5vsTKASN6dzUI++M9ZnGb21ydoZzhAmc4Z/csbshMRtTNlEoiHTyAC1kNNA\nNfr7Uw1YiRoUrq2tpabmgKzalknfuf+mB4C9e+v4yU8u4+STT+H440+KuUm8Xg95eXm4XLHO1Ov1\nkpeXj8vlwuv1xry3LzjttDM555zzqaioRBAEbr/9Tt588w3+9re/hTObYPYfxW/KzjYMkuHo5vDu\nXqlrs7+sQZXmBkFElCzGYI0kU4aLfCE+eW/PdsiYvKum2lV/QBCiSepNgu2eB6Uya0PXwYH4dDV9\nQTQ7RSSTG6HQMgcbzJYGVQ30yz2aztBV6BPU1tYyZMiQrNp17LEzsVqtXHbZPO6//w9ceeU1Wf2+\nXGCg+E5Zlrnoovmccspp5OfnY7fbefjhpdx6681s3PgVJjE6JPZZuUDXodn4vlMLZ2AVJUCeZqFQ\ncxib+5DvlESZIVo+ljQCVRORwRohymf13+8BETqnVAelMm1DxGdlZ11NZchUlm2hjXby4d1sIvWh\nKzPQNnxnttsAMuk799vManNzEwsWXMk111zPIYccBsDYsQfyySf/YerUQ3j33Xc45JDDGT/+IB56\n6AGCwSB+v58dO7ZzwAGjmDhxMuvWrWXcuINYt24tkycfnFH7ZFnmgQce4fzzz6KsrIzDDz+cvvQ/\nZQrxsgQQ2TXGk3atFAoowEkbfjR08lQbefQuUDWOm17vaCaRWAqUcPCW+51x9OCAIXOYPcJ+c/ff\nfSGJ7WENALnVw47Yl0qG1cCePbWMHz8x6zZde+0NWf2OXGKg+86iohL+9KdHmD9/HsuWLaOyckhc\nOsBcIlEpHswhqfjk7iOFEjoI0I4fEYF81YYziTRyKnaYvaNm4JQL8YLkUqD92Vcc67Mysa72Zsg0\n2xXDVJB6htVAbW0tVVXZDVYz6Tv3W1GAu+++i9de+yfDh48QYFf8AAAgAElEQVQI03pcddW1/OEP\nv0NVFYYPH8n119+IIAi89NJqnn/+WXQd5syZx7HHzsDv93HrrYtpamrEYrGyePGtFBVlnv6moaGe\nOXPO4f7772fUqNGYsmrRZOi5hrlb7M6Dmpuhmlg7si9e0JNaiEE6bbQ69CcReLra4N0/n0xsInU+\nylzqYSdCcuEA41q9++67vPnmW5x22mwmTMhuwPrfhP3Fd65f/wkLF17PihVP4Xbnhe+H/hU6SZxZ\nzSXbS67ECxJt7s0Nr5FpNn1F+j4rU8geYX/fxU5yjeTCAUFUVeWNN97g8cefYPnylQOu/z6RKMB+\nG6zuT9i2bQtXXDGfxx9/nLKy8rA6iblLztUNnWx3bGpo5zrbG+38jYAqM2X3dHfHhvM3JmH7M2Dt\njcJULJF49wWlN3Q/fXX+mUKE51IIZZD00POjcsoppyAIAjff/BuOOOKofrFvENnFa6/9k0ceeZDl\ny59AluV+U+ZLLIud+6GaiE1929wmPm56UqCxPqt/NreGHWYiKDWflViop/diEwM1YDXbFFQ1yI4d\nO5gzx+gTf/DBpZSVlefcvmRIFKxKixcvXpzoQ15vfKnMQaSHoqJixo8fz89+dg2nnvpdrFYbBt+n\nhkmcn80b2uxvMom1TQcU/SBGHFHuSxeCIIXUacye0d45u0iJTonqQdXDJTyjJBJfQct4T2RQoL+G\nOczvNa5TYjvMTYcZzEWGo4xNh7l49ZaX0vyNzAU606IVqcLgfjWuo/mbGPYJVFZW8a9//Yu1a9/i\nkEMOp7x8YDndQfQdI0eOIhDws2TJw5x88rfD94Ppw7KZyTM394Y/CYbvQ4P5RKIrf3aukUmfFd93\nxvqTZL7T9BW6ruYksxwPEQGF5D7LDMbNTW/0vSSKxnn2di2MvgZmEqG/1lUQ4vrO/Px8fL4A7733\nLu+8s4YZM2bhdLqSHi+XcLnitxgOrPzvfzEOPXQa8+dfzmWX/QhVVcMPvukgMt2UnbwxPDJUY/Ss\nCqFsa+aHe1KBOWEKsbvjVGA4nmi1EHNRMXbH6QxKRQ879VW5pi8wBoq6Dw50VQkz7xtzQcn0YEP3\ngbzcDV1FD/qZ3+vxeFi+fDmNjc3Iso2xY8chiiKdnZ1cf/1PUZT+uX8HkV2cc84campG8Jvf3B6u\nRpkqcOn4ilQQ3ZOaSH3I+M8yIBSV+jK8292f9H5QKnbYKbe+IhpGoNl9iDjS8+xPOGSaKSXJRIOi\nuYIZU5jtUmCwpjz55JMEAgoWi52xY8fiduexc+cObr31VzmzrS8YbAPIMZYufZgvvljPnXfeBZgP\nth7zsPcW6ZZvoj+Xi/6nnpBOWaunXqreZhShd6X4bCC6FB9NLWWgd9rSvbMjvfJab9FT68b69eu5\n/PIfUVZWhq4LFBcX8//+37eprq5h48YNzJ17cVbsGkT/Q9d1Fiy4koMPPpg5c36Y8RJ4olaantSH\nBk4JPLW2neR97ZF1ovd25MZX9AQzQ2ygK2F/4iHTTCKXLQHR17Tr2i8IIs888zR33303o0aNoqGh\niQMPPJBTT/0+ra37cDqdnHTSt7NiV28w2LM6gHDrrb8iL8/NT396dUygGL0rTBXJF3gx5QcyW/1P\n6SKZHb0NxnuD/h4ySsTpl44IQyYR7fwzuQj1PBQmoSgKr7/+OqtWrUSWRdavX09FRSX33/8IlZWV\nGbFjEAMfwWCQefPOY86cuZx44ol9DhQz5U8GSn93MjuyubnvilhfkXmlwmRINpfRH73F0cPMmZ5R\nSWXt93g8vPTSy6xe/SySJLJ9+9dMnXoId9xxNw6HIyN2ZBqDPasDCEcffRyPP74Mj8fDxIkT0+47\n6ktvZiIM5J7NSN9Yer1UfbMj0rOp67np2YwQ9ge77JAj32ty6eW6B8oMBDLVw2oex3Tk0X1jxiZF\n5vPPv+C+++7lrrvuwGq1M3/+5VxwwTwA3n77TRoa6pk16/i+n1wSvPnm6zz22BJmzJgFwBdffM6N\nN17HK6+8RH39Xg4++NCsfv8gIpAkiRNPPJmf/3wB48aNZ8iQIWk/o8l7M6Ve+s6B0d/dtWfTJOvv\n6k8y1deeCLG+Ijc9m4n8ScR3Rjhqc4nIembOqGh9yuhGhsIUIi1vpiCBHKrOCrz99tv87ne/Y8mS\nJdTUDOfqq6/jnHMuYNu2rbz33jpcLheTJ0/N4Jl2R299Z6Ke1f2WZ3V/hiiK/PGPDzBnztlUVFQw\nY8aMHuVQs12+gQjPaH8rxphlmuhMgfl6rmi1IJbDL8Kdl9nfI1XWArO8li07UkFXPex07UhWqjLP\nde/eOp5++q/8/e+vMGbMGGbPPpebbro95nmYN+9Shg8fSWVldmVW7777Lj744F1Gjx4bfu3OO2/j\nttvupKpqCD/72VVs3ryJMWPGJjnKIDIJt9vNQw8tY+7cc3nwwT8zYsRITIYIRQnGLbVmgpaoJxiD\nX2ZfZHw7coHIAFok6wy5pdUy7cg272gqmXGI9BSraiCn7DsRe7ryiqdvRyLlwejM+KZNG1m5ciVr\n177N9OlH8+MfX8348QfFHOfmm2/npZdWc8QR0zN1enGRDd85GKz2E6xWKw899CjnnnsWpaUlTJw4\niXiiAcnKwZku35jHhewGaPHQE+l0f7UmdNcGzxTpdMTRRpC4DzW+5ONACFiTl/lSKVV5vV5efnk1\nzz77VyRJ5owzzmLVqtU4nc6Ex/2//zshcyeVAJMmTeHYY2fw/PPPAoZaUzCoUFVlKGZNm3YUH374\n/mCwmmNUVFRy770PctllP+KJJ56kpKQ0/DyZgQCQZHPfO1qinhBNDJ/LwCgZrZZhV/+Le2Tq9+gN\nYb/pOw32lP4MWKMJ+3u2I5VzbWxs5LnnnuOll15g6NBqZs8+m1/8YnFYCKArZFnmtNPOzPj5dUU2\nfOdgsNqPyM8v5KGHlnLRRXNYsuRRhg4dFrU7796CkavdcS6zBD1xhJqLjaoq/VL+NmyJDhR7/3v0\n1Ifa0+IZGyj2X/YmfoY1lrM2OX+hcX+tXfs2K1euZPv27Xz726fwxz/+iYqKityeDPDSS8+zatWK\ncMuJIAjccMOvmDXreD7++KPw+zweDy5XhOLF6XSyZ09tzu0dBIwePZZf/eoWLrnkYp588insdnt4\ncTf5kqORrc199+/prnKVje/rqdJmtgCYtIWC0D8l8Ez8Hqn0tSc7ZvfMZu4UE7vb0V1hqqvv7KkK\n4Pf7efXVv/P006vw+/18//tn8uSTT+N2900yvjfIpe/8nwxWv/jicx588F7uvffPbN68keuuu5rq\n6hoATjvtTGbNOp4XXniOF154DlmWmTNnHtOnH43f7+eWWxbR0tKCy+Vi4cLFFBQU9smWIUOGcddd\n93DxxRfxwx/+kM8++5Sf/OQnlJSUhN4hZKUnsydkM0uQ3mCDWcrpPxk76L2cXqLyTU9Txpm2I9OI\nF7AafycvVW3ZspmVK1eyZs1bHHHEUcyf/+NQVaH/cMop3+OUU77X4/tcLhcejyf8t9frxe12Z9O0\nAYeB5DuPOGI6c+dexI9+dCkzZsxg27at3HDDDVgsJquK0YeaS9+ZSkDSF6QjACIIYtbsSBV9+T2S\nDYWl2/aW7evSVzsSb+4jKovvv/8eq1at4ssvv+Skk/4ft912B8OGVefU/q7Ipe/8nwtWV6xYzj/+\n8TccDqPEuHHjV5x99nn84Afnhd/T3NzEM8+sZMmSJ/D7fVx++cVMm3Ykq1f/lVGjxnDhhZfw73+/\nyrJlS7jqqgV9smfdurd57rln6Oho595770EQBE466SS+9a1vhXcq/Z1RNMnn+/Jw96Z8E20HZLac\n1BukakdfzjVdO/o7YDUzHl2zWdHn2tzczHPPPcuLL75AZeUQZs8+m+uvX4Qs71/ux+l0YbVaqK3d\nTVXVEN5/fx3z5l3a32blDAPJd2qaxosvrubvf3+JLVs2s2XLZux2O/X1DQwdapQaIwt9bhEJSALh\nzGZfaAl7y1oQz45MKQSmg3QCxWwyvgzUgLW774xki7/55htWrVrFa6/9i6lTD+G8837I1KmH9Iu/\n7wsy4Tv3r9UiAxg6tJrbbruTW275JQAbNmxg584drFnzJtXVNVx55TV8+eUXTJo0FVmWkWU3w4ZV\ns2XLJj777BPOO++HABx55HSWLXukT7Z4vV6uu86grxozZizDhw+ntbWVY46ZgSAI4Zu5f51M78sn\nmRpsyFQ5qa+I2NG9/ykXQxxd7YD+CeDjnaupN3344UdQXFxCIBDglVde4emnV+L1ejn99DN5/PGV\n5OXl58TGbOHaa2/gpptuRNM0pk07kvHjJ/S3STnDQPKd69d/xh133IYgCBx66DQsFomRI0cyYsQB\nmHSARvk7srnLJQzfaY0SZBHS4q/O1Ia3ux30mc+7N0gWOGd7cx/fjv4JWOOda0dHB++99x7HHTcT\nu91BW1sbzz//PKtXP0tBQSGzZ5/DVVddi9VqzYmN2UJffef/XLB63HEzqavbE/57woSJfPe7pzF2\n7Dgef3wpS5c+zJgxY2NS1A6Hk46OjpjUtdMZm9buDZxOJ/ff/zB5efmMHHkAAPfc83tuueVmfvWr\nxUiSpdfOLlNId3eeLdaC/nYysXbETnZGZO3C78oYQ0MyO3I9OBC/59YoO+7atYNbbrmFmpoaKiqq\n2LBhAyeeeBK33PIbamqGZ82mbOPggw+NoVg56KCJ/PnPS/vRov7DQPKdkyZN5o47/siYMQdSWlqG\npmlcdtlFPPvsM5x++hnIsuE7DYJ6od8yrLJsDSsmmSwniZCtDW/EjoGwlkTsMDKnQspDppm1I7Km\nqaqSksJhb5FsTRQEkXfeeYfbbruNl19+Ga+3k+bmZr773e/zyCPLKSoqzopNuUCmfef/vNzqMcfM\nYOzYceH/v3nzRlwud7f+iry8fFwuF16vN/Sah7y8vjc0T548NRyoAlx55dV4PF4eeeThsJOB/pb0\ni5U4jGeH+dAbC0RkF2/wZhoShSZHaN/ssIR241qIJzF3MnZdrAEiCwxk9lxTskCI9DMbXLTBjP8e\n0bKn3WV7jXOtra3jueeeZ9KkSezYsYPdu3fx1FN/5eqrr9uvA9VBJEd/+k5RFDnqqKMpLS0L/333\n3X9ixYoVvP322/RFhjSTiPbh8SScMykX3bMdRka1P9cSkw8cTN7RWClbi6Xv55oKzDXNWEvUrKwl\nEdne7muiKdv75Zdf8e677zN8+HD+85//4HbnsWrV88yde/F+HahmA//zweqCBVeyYcOXAHz00fsc\neOB4xo8/iM8++4RgMEhHRwc7dmzngANGMXHiZNatWwvAunVrmTz54IzbIwgCt912B2vWrOGll17q\n0dnlCvEC5+6BTPb0lqPt6Clwzga66mjHZgPMkpWcc0LwSAAvhp1jX51u13M1HXn0dfV6O1mxYgVn\nnnkGixbdyPjxE/jDH/7E979/FrW1u/nd727L0BkOYqBioPlOu93Oww8v5bbbbmXDhq8QRXFA6NXH\nC5xzsbmPZ0d/rCXmOhEMGutE1+tgktnnmoqv+1rS94A1wqITvbmP9Z319Q3ce+99fOc73+bRR5dw\n8smn8vDDj3PwwYfy4Yfv8+STj2Xk/P7b8D8pt1pXt4fFixfy4IOPsnnzJn7/+99isVgoLi7huusW\n4nQ6eeml1Tz//LPoOsyZM49jj52B3+/j1lsX09TUiMViZfHiW7O2+/F6vZx//lnccMNCpk2bFkOQ\nP1Ak/aKRa9LpaJlaw9llvqyVSlkOzIVQD5Wvct9bbNpqZmVMx5iOHanQw5h9qatW/YX6+npOOeU0\nTjvtjCjmCmPw5cknl1NeXj6g9KYHkRnsD75z585vuPTSC1m6dClVVUOj5D+zq8/eE2L16iPIte+M\nlanNDn91Kn2oYPrw/pb4jl5LpLR7elM5V4NL+mWeeeZpJEnmzDNnc9JJ34nhku7s7OSRR/7EscfO\nYsqU7KpLDWQkklv9nwxW9xc0NjZwwQVnc//99zFq1JguAWvuNJeTkU4b5eD+CtC0jDu7njlCu5OJ\n99XZZQq9CViTUeGYjvbzzz9n5cqVfPDBexx77AzOOuscRo8ek+WzGcQgeo/16z/lF7/4GU899RR5\neQXhTGJ0+TcXSOY7+3Nzm43kR296brPhw3uDdJMfqWzu43FJn3767H7hkt6fMBis7qf4+uutXH75\npSxfvpzy8oqcZQmSB20iRunEyBL0Z6Y3U84uFTm7ZL91LjK9qcAIWAMxZfvuC0Qqsqd7eeaZZ/jb\n315m1KjRzJ59Dkcd9a2cK+EMYhC9xeuv/4uHHnqA5cufwGKx9KnykA4SB6jmgJUeHnTqz0xvJgLW\nntaJVIZMc5HpTQWGDzdopBL58GTrhMmHunnzJlatWsWaNW9x5JHTOeusc5gwYWKOzmL/x2Cwuh/j\nP//5gJtv/iUrVvwFp9MZ7hnNRpYgHdJpU68ecpvp7YpYZ5e6tGAqQVt6pfTowFnuF8ocww69W2uC\naV+yUlVnZyevvPIKzzzzNLoOZ5wxm5NPPiWp7OkgBjGQ8Ze/PMHbb7/FfffdDxAOWDOd1UwctHUn\nsTf7Gvsj09sV0a0J6fjwvm7uuyI6cO4PeVgT0T7cDFhTKfPH45I+9tiZ+x2X9EDAYLC6n+Mf/3iZ\nJ59cztKljyFJUkazBH0hYh4o/WCpZgmSlaqiHW1vMRDLWgZzQfRjHluqWrfuHVauXMnWrVs5+eTv\ncMYZs6msrOoXuwcxiEzj97//LX6/j1/8YmHGKyDpbO5jP9e3HvNMIlUfHtncawmDtr6cw0CZy4j2\n4V19Z/Q6EQgEePXVf8ZwSZ9yyvf2ey7p/sZgsPpfgMceW8Jnn33CXXf9Hogd7MlsU7iYctA2kLIE\niZxdX7Wl00V/B6yRrIcS/ruhoYGKispwNmnr1i2sWrWKN998g8MPP5LZs89h4sRJ/XbtBjGIbEHX\nda699idMnjyFuXPnxpR7e/N8ZkplKTpg7e/hzEQ+PNub+67o74C1K5e0oii0trZSVlYRbn/78MMP\nWLlyJZ9//jknnngSZ555dlhyeBB9x2Cw+l+C2267CYfDzjXXLOhlU7gW2hlnLmgbqFkCs4STrL8o\nW3bmug8rWZ/c66+/xk033cScOXOQZRsvvvg8ZWXlzJ59DjNm/N9gqWoQ//VQFIV5887j/PPncNJJ\nJ6W9oczU5j7ecQdOr7vpwwUEQQa0BJv77kOmmURse1n2A9ZELQ2CIPLgg39i1apV/Oxn17Fx42b+\n9a9/MnnyFGbPPodDDjlscHOfBSQKVgdXqf0MN9zwS668cj5PPfUU55xzTlipJZFCSjq9VL1FV3Wp\n/pKHBeOcTKcTTbGVa3oYYxdu/CaGHeZgWuaQyvRtMBjE4/FTWlrK8uXLOeqob/HYY0+Rn1+QUVv6\nCx5PBzffvAiPx4OqKvz4x9cwYcJEPv98PffccxeyLHP44Udw4YWXALB06cO8887byLLMT35yzf+U\nXOr/MmRZ5oEHlnD++WdRWlrKoYceGvZZqhoMPTPdWT6ysbmPRqy6lBGg9Ze6lEFPZ1ahIr6zt32o\nvYWpzGfwlQaz0l6WSh9qe3s7DocLWZb57W9/w+zZ57B69d+w2WwZtaW/sL/5zsHR3v0MgiDw+9/f\nx/PPr+b111+nO9Gz8eBFk05HKw9FSKdtGSViNgPWaILlXKEriX3X/kyTZDubEn7xEN2ekUlS8ogy\nSnzFG0my8umnn/Lzn1/Pd797Klu3bmXhwpsoKytn3bq1fPDB+xmxYyDgL395ksMOO4L77nuIG274\nFXfd9RsA7rrrdm666TYeeOARvvzyczZv3sSmTRv45JOPefjhx1i8+Nf8/ve/7WfrB5FLuN1uHnpo\nGQsX/oKvv94W83waZPV6OIiJfb6yq7LUn+pS0ST2xqY6tj9TkqwZF3ZJBcaAqsGcYF6bvsJUC1OU\nWN9pSlfLsg0Qee2115k//xLmzDkfELnxxpuxWKw899wz7N69s892DBTsb75zMLO6H8JqtfLnPy/h\nvPNmU1pawqRJk6OyBIH/396ZxkVZtn34mAUUcMFUfFxSEVdAcIvQSiUtzTRXUFApETAld9Tc9zTU\nEnNB0lxLQQT31N6eHjUTtySyXLIsc88thYGBGeb9MMywwyDDzADX8UVnBuG6cX7/Oe9z+Z+oc2md\nqbKKptxBrftg0fWOZTuF/lq1G0kyMrPO5mlNyFocoF27VxKLmKKmb2/dusWuXdEcPXoUFxdXfHx8\nWbJkhf66w8PXMnv2dFJSSraX3ZIYMmQoVlbamzWVSkWlSpVQKJJJT1dRt249ADw8OnL27Gmsra3w\n8HgZgDp1/oNancG//z6henV7s51fYFocHOqwenUEo0e/z/bt26lVq3aOgC03psoq6rZcafW7dCox\nOopqaQCpfhOeVlvNk9PSuZho+1jTnnseIqsPNYOivKTPnImnSxcvpkyZmcNL2sbGhvDw5TlWCZd1\nypp2imC1GPzyy0UiIj7js8/Wc+vWTRYvnodUKsXR0YnJk6cBsG9fHPv2xSGXy/H3D6BTp1dRKpUs\nXDibx48fY2dnx8yZ80r8n1ytmj2RkZsYMWIY778/mp9+usDgwYNp2rRp5ldIkMmM3wBfFLosQWGt\nCSXBEOHJOktWa4JanW62Xlrd1L32AzHNYIsYQ0pVSUnP2L//ALGxu7GxscXbezBxcePzLVU1bNiY\nLVt2GPXaTMmBA3uJjv4K7T5v7Y7x6dPn0rJlKx4+fMCiRXMYP34KycnJ2NnZ6f+dra0tt2/fQqWq\nlKP9wdbWlqSkJBGsmgBL0k4np2bMn7+IkSMDGDp0KImJPzFx4kSqVdNNcUsyM6emzSbmbB1KQyIx\nXr9mcYdMJRLTJB0KQ5fx1GhAoylewGrIEFx+XtLz5i3O9ybB07MTnp6xRr0+U1IetFMEqwby1Vdb\nOXLkEDY2Ws/Jzz77hFGjQnB3b8vy5Us4ceJ/uLi0ZvfuKDZu3I5SmcqYMYF4eHiyZ08MTk7NGDEi\niG+/PcrmzRsZP35yic5z+fIlYmOjUatVLF8eBoCTkxPNmjXXBzamDlR16FoTtHuvtb1PJQlYn3f6\nNquXNs3svbQ6sc8KWPMX3YIyxtn7UDMyMvjuu2NER+/k7t079OnTj3XrNlKrVi2TXY856N27L717\n983z/O+/X2P+/Jl88MFE3N3boFAk58iAKBQKqlatipWVFQqFItvzyVStmn8zv8B4WJp2/vDD9+zf\nH8ejRw8JD1+JVCrl7bd706FDB7R73CUmD1R1GKsSo6Oom/uChkyzqmTKzKRDVqbTlGg1XJ7ZS1t4\n0sGQm/uUlBQOHdrH7t27AAkDB/oQHb2n3HtJlwftFMGqgdSv/yIffbSchQvnAHDlymXc3dsC2ruu\nM2fikUiktG7dBrlcjlxehQYNXuTataskJiYwdOi7+q/dvHlDic8zdeoEHj16iINDHTp1epW7d+/g\n4+OLTGal73syZzZR5wpQ2ABDYRgiPIZcl67vKnvfrrnWoWoD1qz+2uwBqyEZ419//ZWoqJ3Ex5/i\ntde6MGnSNJo3b2GWa7EUrl//gzlzPmTBgqU4OWmrCra2dlhbW3H79i3q1q3HmTOnCAgIRiqVsW7d\nKnx9h3Hv3j00Gk25GTSzZCxJO+/fv8fUqRMAaNq0OXXr/geZTI6nZyeAHDe25tKJnJWY4g8YGcta\nK3tbl3Y637hVMkPJPcCb/XPN0LWnub2kP/lkdYX3ki5r2imCVQPp0sWLu3fv6B9nFwFbWzuSk5NR\nKBRUqVJF/7yNjTZVnv153deWlI8+WoZaraZ1a3ekUimxsdGMHRtCRERkZumk6DvR0qa4WYKCpm8L\n2y1tCKbspS2K7H1YKlVa5u8jo8APlfv37xMbG8vBgwdo3NgRHx9fZs9eiExmnmUDlkZk5BrS0tIJ\nD1+ORqOhSpWqLFmynMmTpzN//iwyMjLw8PDUT666u7dl1KgRaDQaJk2aZubTVwwsSTsdHOoQFraS\nOnX+o/+Anj9/Fp999hnjxo3LdWNrPp3IfmNrSPnbWDf3ucnbS1uyKtnzkrtKpuvr1V5r/hljnZf0\n8ePHeOklTwIDRwsv6WyUNe0Uwepzkr2vRZcSt7OzyyeFXg07Ozt9Ct1Y6XNXV7ccjwcM8OH27dvM\nnz+P+fMX5Cl/W3KWILcRc/Z/awxrLSj9XtpinibzT40+KM/+oZKamsrhwweJiYlGrc5gwABvdu6M\nzdFLJNCyZMmKfJ93cXFl/fpNeZ4fMSJIb8UiMA/m1s5OnV7N8Xj27AWMGRNITEwMgwYNshidKCrp\nUNSQqbHcT0xhw2coEok0M2Ocf0D++PFj4uLi2L9/Lw4OdfDx8WXKlJnCSzofypp2Cuuq56R58xYk\nJPwIQHz8D7i5taVVK2cSExNIT08nKSmJGzf+pEkTJ1xd3Th16iQAp06dxM2tbamcKSRkPEqlksjI\n9fryt85KSmeybA6y25Dotm5pTahVpKcrc5ToJZLSsdbSfu/cNl+msYjRWabo7HCy23qtWrWKsLAw\n1GoN8fGnmThxAgMHDuDvv2+ybFk4O3bsxtt7iAhUBeUGS9NOqVRKePg6oqJ2cuLEiQLtAE2NLpuo\nDdAysk3oZ7fWSit1ay3d9y4NG76iyG1LmH2z1JQpU9ixYycZGXDo0GFGjHiPoKBAKlWqzJYtO1i/\nfhPdur0pAtVygvhffE5CQibw8ceLUKtVNGrkiJdXNyQSCd7egxkzZiQaDQQHh2BlZUX//oNYtGge\nY8YEYmVlzbx5i0rlTBKJhEWLwggKepe6devRp08fi8wS5LaIMaVhv6ktYgqym9JmnOHhw4ccO3aM\n48eP0769ByNGBNG6tXu5LFVpNBpWrFjKtWu/YW1tzbRps6hfv4G5jyUwMZaonZUqVeLzzzcxdKgP\nNWsux9nZJYcdoDEn84uDLmDVeo3mp51ZG6VKWzOyEt4PZxcAABhnSURBVA7FczV5HvKvtmVt0AIZ\nd+/eZf36CLZt20qPHm8zb95iGjVqXCrnMSdCN7WIdavlkJSUFIYN82bq1A/x9PTMtfrT2qQlnILX\ngOqyqOaZzi+tHdRZzf4ZBZaqnjx5wp49e9i3bw8ODnV49uwpf/31J337DmDKlBlGOYclcuzYd5w8\neZwZM+byyy8X2b59U4GlKIHAHNy8eYOgoPf44osvqFevQa7Vn6UXnOVHYSuUzWGtpSP7Smtjbpcy\nxEv65s2bei/pdu3a8dNPCTx58pipU2fyzjv9jXIOS6Oi6WZB61ZFG0A5xMbGhsjIzcyfP5dr164i\nlUpNWsLJfwuMdsuSNijUiptEgtkyiHm31zz/7yR3qUqtVuk3o8hk2s0oGRlw5MhRAgJGMHJkADKZ\nnE2bviQi4gsiIjbRvHkL9u2LIykpyViXaHEkJibw8svaqWsXF1cuX75k5hMJBDlp0KAhy5atJDg4\nmKdP/0UqleuHIo21Sakw8mpJ1pYliURXFdOewVzamV9b1/OSt8yvQmsfpv3MkssroVCksHPnTry9\nBzFjxgyaNm3Bnj2HWLx4GWvXfo69fQ127NhmtOuzNIRuahFtAOWUmjVrsXbt54weHcSWLVuoU+c/\nJbJDMQRD7ox1diOWMHH7vGb9OoouVUn46acEoqKiuHDhR15//Q1mz16Ao2OTHN+natWqrFmzgZs3\n/84xEV3eUCiSc1yfTKb1jDXXsIZAkB+urm6Ehn5IUFAg27Z9iZWVlb5iUlruKgVrSVZFRvt1MqP5\nV5eEnGb9xfudGOL6YqiXdMOGjdm6dScpKSlGvT5LQuimFhGslmMaN27CRx99TFBQIF99tTPzDW+4\nHYohGFL2zv0z8hpOm6+X1lCzfh2GBOS3b98iJiaGw4cP06qVMz4+fixevKzQ72tjY0OzZs2Ndl2W\niK2tHQpF1sR3RRRcQdmgS5fXuXfvLuPHj2Pt2nUGG9MXB0Nv7rNjyp77wiiOWb8OQ1xfnsdL+oUX\nahrlmiwVoZtaRLBazmnbtgMffDCe998PZvPmrchkJfdgLdjTT5JDaAsjp+G0ubME2pJWQUG8IR6G\nyclJ7N9/kNjYGCpXrsygQT7Exh6gcuXKZrgiy8TNzZ2TJ0/g5dWdixd/1vtcCgSWiI+PH7dv32Lx\n4kXMmjXbKHaAxvBDLc21rMUhr1m/Ks8MQsELCrKste7fv69fe6rzkp4zZ1GFDMjyQ+imFjFgVUHY\nuvULEhLO88knKwH0AqO9qy16yKnoTSHS5xJMcw5/ZUdrpaXrD5PmMO8vrFR14sRxoqKiuHnzb3r3\n7kv//t7Url3bLNdg6eimWn///TcApk+fS8OGjcx8KoGgYDQaDVOmTMDFxYWAgAB9CxNokErlBrUw\nFXZzX5JlJ1nDX8YddCouWu3U9q7qkhW6m/+CAvLU1FS+/vprYmKiycjQMGCAN7169REWfflQ0XSz\noAErEaxWIJYuXYCVlRWhoVMMFl1db1FxSlXFpbQm84tLdtHNTfZS1eXLl4iKiuKHH07yyiuv4e3t\nS8uWrcxwYoFAUNqoVCoCAobh5zeUt956K9NCSneDbZVvRUirIZp8yt4lu7nPTWlN5heX7EmHnORc\nexofH090dBRXr16lZ89eDBo0mLp165n8vALLRQSrAjQaDePGvc8rr7yCr69fZsCq9e3LLrrG2i1d\nHMxtEZP7eu/fv8+VK1fo3LkrMpmcBw8eEBsby4ED+3jxxUb4+Pjy6qudxdpTgaACkJyczLBh3sya\nNYcOHToUWBF6nj7UkqAbEM3IUOsXwZhWO/MmM65du4ZCoaBduw5IJFJ+//13oqOjOXbsOzp08MDH\nxxdXV7dy6SUtKDkiWBUAkJaWxnvv+REYGES3bt1yZAl0d795SzdSg/pQS4opswSF9Y5JJFIiI9ez\nffs2evToyW+//YZSmcaAAd68/fY75XpiXyAQ5M8//9zH39+XtWvX0qSJU46KkFY7M0x2c5+d3C1M\npeFWkPvn6drBcl+vRCIlNHQS586do0+fvpw69QM1a9bCx8eXrl27YWVlnrXfgrJDQcGqGLAyIQEB\nw/SBTt269fD3D2Dx4nlIpVIcHZ2YPHkaAPv2xbFvXxxyuRx//4A8u6xLgrW1NevXb8TPz5tatWqi\nDQwlNG/ePFu5yri7pQ2lqEGnklJ03602S3r69Gn+/PMv7O1rcOTIYfz9AwgOHmO0c5gTlUrFkiUL\nuHv3Dunp6fj7B+Do2MTk70OBoDhYgnbWru3AmjXrGTNmFJs2beL69T9o1KgRDg61s62LNnzI1Fjk\nHnTKyFAZNIdQHAofDNMmM9LT0/n2228yA2YZ+/fvZcGCJXTt2s1o5zAnQjvNiwhWTURamjZ7uWpV\nhP65Dz+cxKhRIbi7t2X58iWcOPE/XFxas3t3FBs3bkepTGXMmEA8PDyNut/48eMndOv2BhMnjkep\nVCKXyzly5Ii+pK1tCTDPdGn2taymsIjRZT6uX79OdHQ03333LW3btmfIkGHUru1ASEgQW7d+wcsv\nd8LdvU0Jr9D8HD36Nfb29syevYBnz57x3nu+NGvW3CzvQ4HAECxFOzUaDQpFCu7u7gwd6otSqaRl\ny5ZEROjOZfoyvI7sa1mN5V9ddN+t9vMiIeECUVFRJCRc4PXX3+CDDybx+PEjQkPHsXjxPNq0aY+9\nvX2JzmIJCO00L+K3ZyKuXbtKamoKkyZ9gFqdQXDwGK5evYK7e1sAPD07ceZMPBKJlNat2yCXy5HL\nq9CgwYtcu/ab0QZ49u2LIyxsMaDdh+3s7ExgYCCVKtlmipIKtTo90w7FfKJb0ixBYaUqXYD69OlT\n9uzZw969cdjb18DbewgTJkzB2tpa//WffLKaTZs+p2bN8uHl9/rrb+Dl1R3QDrbJZDKzvA8FAkOx\nFO1cvnwJe/fGAmBnZ4ebmzvjx09EJrMmI0Nl1Bvs5yG7HaDWvxq9q0lxMNRLeteuXRw5ckTvJf3R\nR8v11+3o2ISPPlrO118fwMamfNj3Ce00LyJYNRGVK1fGz284vXv34++/bxAaOi5HEGVra0dycjIK\nhSJHT6SNjS3JycZbwVmvXn1ef/0NXnnlNTp39uLChbOEhS3jyy93ZHqCll4Z3lDyZgkwyNPQkFKV\nSqXim2/+j+joKB4/fsQ77/Rn48Zt2NvXyPd7NmnixMKFS41zYRaAzvdVoUhm9uwPCQ4ew5o14frX\nTfU+FAgMxVK0s3nzlvTq1Qcvr+689NLLbNmykbVr1xAWtqzUy/CGog1YrTL9q7X9/4b4V5eGl7Sn\nZyc8PTsZ69LMjtBO8yKCVRPx4ouNqF//xcy/N6RatepcvXpZ/7pCkUzVqlWxs9O+4bOeV1ClSv4N\nx89Dhw4edOjgoX/cqVNn7t+/z9ixIaxf/3mplOGfh5xZgsLLWoWvPdUKdWJiItHRUZw/f46uXbsx\nY8YcmjSpmObK9+7dZebMqQwc6EP37j1Yu3aV/jVTvQ8FAkOxFO3s23cAffsO0D8eOXIUCxfOYdWq\ncMaPn2D0MvzzYuiWK0P8XzMyMjh+XOslfevWTXr37suaNZ9XWC9poZ3mQ6yIMBEHD+5j9WqtIf+D\nB/+gUCTj4eHJhQvnAYiP/wE3t7a0auVMYmIC6enpJCUlcePGnzRp4lSqZ+vXbxBt2rRj7tw5+qym\nRCLRZwkKMYwoVXRZAkBvz6JDOwGrIj1dmSMDK5XKkMmskcutuXfvHqtWraJXr7fYvHkTvXv34+DB\n/2PatJkVNlB99OghkyePZcyYcbz1Vm8AmjdvQULCj4B534cCQX5YsnbOnDmPS5cuEx0drb/Bhrx6\nZWqkUqm+GqXbuqVDl4hQqZT6bLDu5l4ut0Yur8TVq1dZsGA+vXr15PjxE4wbN5m9ew8TFDS6wgaq\nQjvNi7CuMhHZJwklEgmjR4+jevXqLF26ELVaRaNGjkybNguJRMKBA3vYuzcWjQb8/QPo3LlrqZ9P\no9Ewa9ZUGjZsyPvvj36uTS2ldzZD7LV0papkDh7UlqrkcisGDfKhR4+3sbGxMdfxLYrw8BX897/f\n0KhRYzQaDRKJhPHjQ/n00zCLeB8KBLmxdO1UKpX4+w8hJOQDunTpYtDSAFOR3V5Lu1kqt71WluuL\n8JIuHKGdpkH4rAqKRK1WExz8Hv369eOdd/oWuDTAlGS1JKiBgktVJ09+T1RUFDdu/EWvXn3o39+b\nOnXqmPy8AoGg4vHvv48ZOtSHsLBluLi45lgaYK6tfFnaqSL7oFT2m3ulUsnhw4eJiYkmLS1deEkL\nzI4IVgUGkZKSwrBhPkyZMo2OHT3NliXIvw8Vjh49SlxcHPPnLyQpKYno6Gi+//4EHTu+gre3L87O\nLiY5n0AgEGTn1q2/CQx8l40bv6B+/Qa51kibZitfwV7SEBkZyfXr15k/fxE///wz0dFRXLp0iZ49\n32LgwMHUr9+g1M8nEBSFCFYFBvPo0UOGDfNh1apVNGvWIpfoll6WoOA1r1mlqn379hAW9jG2trY0\natQEP79hdO7sVW5KVY8fP2LkyOGsXLkWmUwmDKcFgjLEr79eZOrUiXz11Q6qV7c32Va+/NaeAtmG\nTCWsWBFGXFwcVapUoU2b9gwZMhR397blZu2p0M7yQUHBqhiwEuThhRdqsm7dBsaOHcu9e3czh5a0\nzfoqVZpRB650AapKlYZKpdQPdOnWBsrllVCrMzhw4CD+/sPZvv1LPD07oVAo0Ggy8PR8pdwEqiqV\nimXLlugtUj777BNGjQph9epINJoMTpz4H48ePWT37igiIr5gxYpVrF+/GpVKZeaTCwQCAGdnV6ZO\nnUFg4EiUSiUymVy/mU876GRs7VShUin13qqQUzufPUtm69ZtDBzYn0uXrtC8eQuSkpKws7MrV4Gq\n0M7yjwhWBfnSqJEjS5YsIzBwJElJzzLv0LVDViUNWLUiW9BEqhy5vBIymRXnzp0jNHQyffu+w++/\nX2Px4jCio/ewbFk4vXr14fLlX/WTmOWBNWvC6d9/ILVq1QY0eQynz549za+//qI3nLazyzKcFggE\nlkHnzl4MGjSYcePGkpGRkem5Ks10MEk3gnZm3dyr1Xlv7jUaCd98838EBo4kIOA9NBrYuHEbGzZs\nZc2aDTg7u3LkyCEeP35kxKs2L0I7yz/CZ1VQIG3atGfcuImMGhXM5s1bM9fFafRtAcX1YC2qVCWR\nSPnrr7+Ijo7m22+/wd29LX5+/rRt2z7Hz5FIJEybNot33ulPy5bORrxi83Ho0H5q1KjBSy95snXr\nJgAyMrIGyoThtEBQdvDx8ePOndssWrSQOXPmZi4NSNPbARqy5ESHoWtPDfGStrGxITx8Hdev/84L\nL5SPrXxCOysGIlgVFEr37j25c+cOoaGTWLlyVbGXBhiy9vTZs2fs3buXuLhYqlevnpmVmJxj7Wlu\nZDIZrq5uRr1Wc3Lo0H4kEglnz57m2rXfWLhwLk+ePNa/LgynBYKyxbhxk5k6dSIbNmwgMDAQmcyw\nJSc6Clt7qutDvXPnNrt2xXDkyGFatGiBj48fCxYszXcJgA4bGxucnV2Nc5EWgNDOioEIVgVFMnz4\nCG7dusmyZWFMnTqtyCyBIav71Go13377X6Kjd/LgwQP69OnH559vLjd3+8Vl9epI/d/HjXuf0NDp\nrF0bTkLCj7Rp0474+B9o1+4lWrVyJjJyLenp6SiVSmE4LRBYKBKJhCVLljNy5HDq1q3L22+/nbmV\nT9ubL5HkXYVq2NrTvF7SMTH7KqyXtNDOioEIVgUGMW3aLMaPH82XX25n6NBhebIEuiGCokpVFy9e\nJCoqinPnztClixfTps3CyamZOS7J4gkJmcDHHy/SG057eXVDIpHg7T2YMWNGotFAcHAIVlaGlxQF\nAoHpkMvlrF27gWHDvKlduzYeHh76NdK6VahZ2wLzrj3VBqhaL+nvv8/pJR0eHiG8pAtAaGf5Q1hX\nlVE0Gg0rVizl2rXfsLa2Ztq0WaXuk5eens677/oSGBhIt27dc3iw5kYnshKJhHv37hITs5uvvz5E\n06ZN8fHxw9OzU6GlKoFAICgNzKGd//xzH3//IaxZswYnp2Y57ABzoru5lyKRSLly5bLwkhZUKITP\najnj2LHvOHnyODNmzOWXXy6yffsmlixZUeo/99mzp/j6DmTw4MFcvPgzb775Jl26dOHBgwdIJFIc\nHOogkUhRKBQcOnSI3bt3IZXKGDjQh54938bW1rbUzygQCAQFYS7t/OOPa4weHcTQob78+OOPhISE\n4OjoyI0bN3BwqIOdXVUkEgkPHz4kLi6O/fv3Uq9eA3x8hpQrL2mBoDAKClZFG0AZJTExgZdf7gSA\ni4srly9fKvWfeeXKZXbt2kFqagrr10cA0LRpU7p29WL27NncunWLkJAPOHLkKH/88Qe9evVm5cq1\n1Knzn1I/m0AgEBiCObTz1KnviYuLISUlmcjISGQyGTdv3uTFFxsSGBhIgwYv0q/fAPbsiSU1VcmA\nAYP48stdYgBIIMhEBKtlFIUiOYcNh0wmy/T0K73S+pw5H3Lr1k3q1q2Ph8fLJCYm4O09mOvX/6Rx\n48ZcunSJlSs/Zf78JeVuM8i2bZs5efI4arWKAQN8cHNrIzakCARlEFNr59OnT5kyZQIALVs64+Tk\nxJ9/Xue117py4cKPtGvXjvj4eLZv38qKFatwdCxfQz9COwXGQASrZRRbWzsUiiwbjtIOVAEWLfoY\npVKJi0trJBIJp06doEePN2nbth0+Pr44ONRly5Yv2Lx5Ax07vlJutqNcuHCeX35JJCLiC1JSUvjq\nq60cO/ZfRo0Kwd29LcuXL+HEif/h4tKa3buj2LhxO0plKmPGBOLh4ZnpTysQCCwBU2tntWrVWLUq\ngho1XsDRsQkA69evpmPHl+nW7Q2GDPFHLrfm+++PExsbow/eygNCOwXGQrwTyihubu6cPHkCL6/u\nXLz4M05OTYv+RyWkWbMWOR537Pga8fEX9EGpl1d3kpMVnD9/BrVaXW6E5syZeBwdnZg+fTIKhYLR\no8dx8OC+HBtSzpyJRyKR6jekyOVZG1Jatmxl5isQCAQ6zKGd7dp1yPF41KgPCA4O0Wunq6sbM2aE\n8vTpv6V+FlMitFNgLMpHNFEB6dzZi7NnTzN6dAAA06fPNcs5cm+WmjAh1CznKE2ePHnCvXt3CQv7\nlNu3b/Hhh5PEhhSBoIxiidpZuXJlPvlktVnOUZoI7RQYCxGsllEkEgmhodPNfYwKQfXq1WncuDFy\nuZyGDRthbV2Jf/65r39dbEgRCMoOQjtNh9BOgbEQRpcCQRG4ubXh9OlTADx48A+pqSm0b/8SFy6c\nByA+/gfc3NrSqpUziYkJpKenk5SUJDakCASCCo3QToGxEJlVgaAIOnV6lZ9+ukBQkD8aDUye/CF1\n69Zj6dKFYkOKQCAQFIDQToGxEEsBBAKBQCAQCARmp6ClAKINQCAQCAQCgUBgsYg2AEGZRaPRsHTp\nQm7c+AuZTMbUqTORyWTCcFogEAgKQWinoKwhglVBmeXMmXhSU1NYt24jZ8+eJjJyDSqVShhOCwQC\nQSEI7RSUNQp9xxXUOyAQWAIODvakpaVSq1YVZDI1dnY2nD9/nu7dOwPw5pvdOHnyJPb2dnh4vETd\nujUAcHJqwsOHt3B1dTXn8QUCgcAsCO0UlDXE7ZGgzNK+fXuUSiU9e/bkyZMnREREcO7cOf3rdnZ2\nJCUlkZys9fLTYWtry7NnYnhQIBBUTIR2CsoaIlgVlFk2bNhAu3btmDhxIvfu3WP48OGkp6frX09O\nTqZatWpUqVKFpKSkPM8LBAJBRURop6CsIdwAKgidO3fG398ff39/Pv30UwASEhLw8fHBz8+P1auz\nVv2tXr0ab29vfH19SUxMNNeRiyT7ir6qVauiUqlwdnbmzJkzABw/fpz27dvTunVrzp8/T1paGs+e\nPeOPP/6gWbNm5jy6QCAoIwjtFNopMD8is1oBuHHjBi4uLqxbty7H8/PmzWP16tU0aNCA4OBgLl++\nTEZGBufOnWPXrl3cuXOHsWPHEhMTY6aTF87IkSOZPn06fn5+qNVqQkNDcXFxYdasWaSnp+Pk5ETP\nnj2RSCQMHz4cPz8/NBoNkyZNwtra2tzHFwgEFo7QTqGdAsug0KUAgvLBoUOH2LBhA1WqVMHGxobp\n06dTq1YtBg8ezMGDBwHYunUr6enpWFtbk5qaSlBQEAADBgxg48aN1KhRw5yXIBAIBCZHaKdAYBmI\nzGo5IyYmhi1btuR4bu7cuYwaNYoePXpw/vx5QkNDWbNmjb4MBNqG+r///pvKlStjb2+vf97W1pak\npCQhuAKBoFwjtFMgsFz+H9drAG+NouBfAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10a0562d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from mpl_toolkits.mplot3d import Axes3D\n",
"\n",
"fig = plt.figure(figsize=(12,14))\n",
"ax = fig.add_subplot(3,2,1, projection=\"3d\")\n",
"ax.scatter(X_test[:, 0], X_test[:, 1], X_test[:, 2], s=50, c=y_test, cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"Real Data\")\n",
"ax.view_init(azim=150, elev=50)\n",
"\n",
"ax = fig.add_subplot(3,2,2, projection=\"3d\")\n",
"ax.scatter(X_test[:, 0], X_test[:, 1], X_test[:, 2], s=50, c=lr.predict(X_test), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"LOGISTIC REGRESSION (non-regularized)\")\n",
"ax.view_init(azim=150, elev=50)\n",
"\n",
"ax = fig.add_subplot(3,2,3, projection=\"3d\")\n",
"ax.scatter(X_test[:, 0], X_test[:, 1], X_test[:, 2], s=50, c=rfc.predict(X_test), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"RANDOM FOREST\")\n",
"ax.view_init(azim=150, elev=50)\n",
"\n",
"ax = fig.add_subplot(3,2,4, projection=\"3d\")\n",
"ax.scatter(X_test[:, 0], X_test[:, 1], X_test[:, 2], s=50, c=gbc.predict(X_test), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"GRADIENT BOOSTING\")\n",
"ax.view_init(azim=150, elev=50)\n",
"\n",
"ax = fig.add_subplot(3,2,5, projection=\"3d\")\n",
"ax.scatter(X_test[:, 0], X_test[:, 1], X_test[:, 2], s=50, c=vc.predict(X_test), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"VOTING CLASSIFIER (Logistic + SVM + GBC)\")\n",
"ax.view_init(azim=150, elev=50)\n",
"\n",
"ax = fig.add_subplot(3,2,6, projection=\"3d\")\n",
"ax.scatter(X_test[:, 0], X_test[:, 1], X_test[:, 2], s=50, c=svc.predict(X_test), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"SUPPORT VECTOR MACHINE (radial basis function)\")\n",
"ax.view_init(azim=150, elev=50)\n",
"\n",
"\n",
"plt.suptitle(\"Classification comparison\", fontsize=20)\n",
"plt.subplots_adjust(wspace=0, hspace=0)\n",
"plt.show()\n",
"\n",
"# .azim / .elev"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" * Support Vector - [ 0.83207301 0.83728814 0.8380704 0.83385498 0.83333333]\n",
" * Gradient Boosting - [ 0.83129074 0.8357236 0.8422425 0.83281168 0.83568075]\n",
" * Majority Voting - [ 0.8422425 0.83911343 0.84067797 0.83828899 0.83933229]\n"
]
}
],
"source": [
"from sklearn.cross_validation import cross_val_score, StratifiedKFold\n",
"cvK = StratifiedKFold(y, n_folds=5)\n",
"\n",
"#print cross_val_score(lr, X, y, cv=cvK)\n",
"print \" * Logistic Regression - \", cross_val_score(lr, X, y, cv=cvK)\n",
"print \" * Random Forest - \", cross_val_score(rfc, X, y, cv=cvK)\n",
"print \" * Gradient Boosting - \", cross_val_score(gbc, X, y, cv=cvK)\n",
"print \" * Majority Voting - \", cross_val_score(vc, X, y, cv=cvK)\n",
"print \" * Support Vector - \", cross_val_score(svc, X, y, cv=cvK)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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AZGUN449/fIhJkwKLD44YMZIpU6Zzyy03oCgKl156xQGvs7/AVPurD5pqf/XV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\nkuwZLLoqe5x/hhBCiHgTtQpxcHCQlJRzXTDMZjOKomA0GkfsS05OZmB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"text/plain": [
"<matplotlib.figure.Figure at 0x10ad52590>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" * Support Vector -- 0.71999998408\n",
" * Gradient Boosting -- 0.808691714784\n",
" * Logistic regression -- 0.793735653487\n"
]
}
],
"source": [
"from sklearn.metrics import roc_curve, auc, precision_recall_curve\n",
"#print y_test.shape, svc_model.decision_function(X_test).shape\n",
"fp0, tp0, thr0 = roc_curve(y_test, svc_model.decision_function(X_test))\n",
"fp1, tp1, thr1 = roc_curve(y_test, gbc_model.decision_function(X_test))\n",
"fp2, tp2, thr2 = roc_curve(y_test, lr_model.decision_function(X_test))\n",
"#fp3, tp3, thr3 = roc_curve(y_test, vc_model.decision_function(X_test))\n",
"\n",
"plt.figure(figsize=(7,6))\n",
"plt.plot(fp0, tp0, label=\"SVM\")\n",
"plt.plot(fp1, tp1, label=\"Gradeint boosting\")\n",
"plt.plot(fp2, tp2, label=\"Logistic regression\")\n",
"plt.plot([0, 1], [0, 1], \"k--\", alpha=0.3)\n",
"#plt.plot(fp1, tp1, label=\"Majority voting\")\n",
"plt.legend(loc=2)\n",
"plt.grid(False)\n",
"plt.show()\n",
"\n",
"print \" * Support Vector -- \", auc(fp0, tp0)\n",
"print \" * Gradient Boosting --\", auc(fp1, tp1)\n",
"print \" * Logistic regression --\", auc(fp2, tp2)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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tk6yVA9vGxsYyTfyWzuT1cdyRJINas4QSvT//3ohG2JxK8tmKyn6P+UBTAwmH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\n6/mbCbdOOmvS1J4kZ5jkTAu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Q8rYQQgixD4Vrg86YEqCFEEKIfShQA7AiJW4hhBBiPwoz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\nD310EyDxrV1lAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10ad6f3d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pre0, rec0, thr0 = precision_recall_curve(y_test, svc_model.decision_function(X_test))\n",
"pre1, rec1, thr1 = precision_recall_curve(y_test, gbc_model.decision_function(X_test))\n",
"pre2, rec2, thr2 = precision_recall_curve(y_test, lr_model.decision_function(X_test))\n",
"\n",
"plt.figure(figsize=(8,5))\n",
"plt.plot(rec0, pre0, label=\"SVM\")\n",
"plt.plot(rec1, pre1, label=\"Gradeint boosting\")\n",
"plt.plot(rec2, pre2, label=\"Logistic regression\")\n",
"\n",
"plt.legend(loc=1)\n",
"plt.grid(False)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"## 상대적으로 중요도가 떨어지는 feature 제거\n",
"- SJR과 H_index를 제거하고 새로 트레이닝을 시켜보았습니다."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>cite_doc</th>\n",
" <th>ref_doc</th>\n",
" <th>y_2_cited</th>\n",
" </tr>\n",
" <tr>\n",
" <th>PMID</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>24348913</th>\n",
" <td>14.8996</td>\n",
" <td>46.34</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24276553</th>\n",
" <td>0.5184</td>\n",
" <td>18.72</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24297959</th>\n",
" <td>0.5184</td>\n",
" <td>13.70</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24340911</th>\n",
" <td>0.0016</td>\n",
" <td>0.00</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24274405</th>\n",
" <td>4.2025</td>\n",
" <td>39.92</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24283573</th>\n",
" <td>21.3444</td>\n",
" <td>44.59</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24321303</th>\n",
" <td>11.1556</td>\n",
" <td>59.61</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23983022</th>\n",
" <td>1.5625</td>\n",
" <td>21.90</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24166983</th>\n",
" <td>18.6624</td>\n",
" <td>44.76</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24319691</th>\n",
" <td>7.8961</td>\n",
" <td>46.09</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" cite_doc ref_doc y_2_cited\n",
"PMID \n",
"24348913 14.8996 46.34 1\n",
"24276553 0.5184 18.72 1\n",
"24297959 0.5184 13.70 1\n",
"24340911 0.0016 0.00 0\n",
"24274405 4.2025 39.92 1\n",
"24283573 21.3444 44.59 1\n",
"24321303 11.1556 59.61 1\n",
"23983022 1.5625 21.90 1\n",
"24166983 18.6624 44.76 1\n",
"24319691 7.8961 46.09 1"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"total_4 = total_3.copy()\n",
"del total_4[\"SJR\"]\n",
"del total_4[\"H_index\"]\n",
"\n",
"total_4[\"cite_doc\"] = total_4[\"cite_doc\"]**2\n",
"\n",
"total_4.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" * training finished!\n"
]
}
],
"source": [
"from sklearn.cross_validation import train_test_split\n",
"from sklearn.linear_model import LogisticRegression\n",
"from sklearn.svm import SVC\n",
"from sklearn.metrics import classification_report\n",
"from sklearn.ensemble import GradientBoostingClassifier, VotingClassifier\n",
"\n",
"X2 = total_4.ix[:, :-1].values\n",
"y2 = total_4.ix[:, -1].values\n",
"X_train2, X_test2, y_train2, y_test2 = train_test_split(X2, y2, train_size=0.75)\n",
"\n",
"lr = LogisticRegression()\n",
"lr_model = lr.fit(X_train2, y_train2)\n",
"\n",
"rfc = RandomForestClassifier(criterion=\"entropy\", max_depth=10)\n",
"rfc_model = rfc.fit(X_train2, y_train2)\n",
"\n",
"svc = SVC(kernel=\"rbf\", probability=True, gamma=1)\n",
"svc_model = svc.fit(X_train2, y_train2)\n",
"\n",
"gbc = GradientBoostingClassifier(n_estimators=100, learning_rate=0.05, max_depth=10)\n",
"gbc_model = gbc.fit(X_train2, y_train2)\n",
"\n",
"vc = VotingClassifier([(\"svc\", svc), (\"log\", lr)], voting=\"soft\")\n",
"vc_model = vc.fit(X_train2, y_train2)\n",
"\n",
"print \" * training finished!\""
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LOGISTIC REGRESSION (non-regularized)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.65 0.31 0.42 982\n",
" 1 0.84 0.96 0.90 3812\n",
"\n",
"avg / total 0.80 0.82 0.80 4794\n",
"\n",
"-----------------------------------------------------\n",
"RANDOM FOREST\n",
" precision recall f1-score support\n",
"\n",
" 0 0.70 0.40 0.51 982\n",
" 1 0.86 0.96 0.91 3812\n",
"\n",
"avg / total 0.83 0.84 0.82 4794\n",
"\n",
"-----------------------------------------------------\n",
"SUPPORT VECTOR MACHINE (rbf)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.69 0.41 0.52 982\n",
" 1 0.86 0.95 0.91 3812\n",
"\n",
"avg / total 0.83 0.84 0.83 4794\n",
"\n",
"-----------------------------------------------------\n",
"GRADIENT BOOSTING\n",
" precision recall f1-score support\n",
"\n",
" 0 0.66 0.42 0.51 982\n",
" 1 0.86 0.94 0.90 3812\n",
"\n",
"avg / total 0.82 0.84 0.82 4794\n",
"\n",
"-----------------------------------------------------\n",
"VOTING CLASSIFIER (all three above)\n",
" precision recall f1-score support\n",
"\n",
" 0 0.71 0.36 0.48 982\n",
" 1 0.85 0.96 0.90 3812\n",
"\n",
"avg / total 0.83 0.84 0.82 4794\n",
"\n"
]
}
],
"source": [
"print \"LOGISTIC REGRESSION (non-regularized)\"\n",
"print classification_report(y_test2, lr.predict(X_test2))\n",
"print \"-\"*53\n",
"print \"RANDOM FOREST\"\n",
"print classification_report(y_test2, rfc.predict(X_test2))\n",
"print \"-\"*53\n",
"print \"SUPPORT VECTOR MACHINE (rbf)\"\n",
"print classification_report(y_test2, svc.predict(X_test2))\n",
"print \"-\"*53\n",
"print \"GRADIENT BOOSTING\"\n",
"print classification_report(y_test2, gbc.predict(X_test2))\n",
"print \"-\"*53\n",
"print \"VOTING CLASSIFIER (all three above)\"\n",
"print classification_report(y_test2, vc.predict(X_test2))"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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88803WZYUBHjppZf4888/ufvuu33H8lfbtm0JCwvj3Xff5dixY77ypKQkPvroIyIjI6lX\nrx6dOnXCZrPx2muvZVnXOT09nX/+858YhkHnzp2vSp3Ot3nzZr7++mvfz2lpabzwwgtYrVbuu+8+\n4O/pGxdehx9//JHPP/8cwPd7diXS09N55513mDdvXpbylJQUUlJSiI6OxmazXfNrJiKBQ3OoRQLc\nyJEjSUhI4JNPPqFNmzbcdtttVKhQgRMnTrB27VoSExOJi4tj+vTpuR6jUqVK1K1bl40bN9KrVy8a\nNmxIYmIiK1asoFy5chQvXtw3PSMsLIyhQ4cya9YsOnbsyB133EFoaCg///wzO3bsoHPnzlSqVAng\nsveDvI1MWq1Wpk6dyuDBg3nggQe44447KFmyJCtXruTQoUOMGzeOUqVKcdttt1GkSBFee+01/vjj\nDypUqMCBAwdYtWoVTZs2ZfXq1Vmmn5QuXRrTNHnllVfYsWNHjtNeDMPgueeeY8CAAQwZMoTWrVtT\noUIFfvnlF7Zs2UL16tUZM2bMFbcpN0WLFmXSpEmMGzeO++67jzZt2hAeHs7XX39NfHw8L7/8MkFB\nQZQvX54nnniCqVOn0qVLF9q2bUt4eDhr1qzhyJEjdOjQgXvuueeq1StTVFQUI0eOpG3btpQuXZpV\nq1Zx5MgRhg4dSo0aNQC4++67eeutt3j66afZsGED0dHR7N69m3Xr1nHrrbeyZs2aLA+NuVyNGzem\nVatWrF69mvvuu48mTZqQkZHBt99+S1JSku8BMNf6molI4FCgFglwFouFZ599lg4dOvDRRx+xe/du\n1qxZg81mIyYmhpEjR9KtW7dsKyWc/zAVwzCYN28eL7zwAuvWrWPHjh1UqFCBgQMH0qdPH0aMGMHK\nlSs5fPgw5cuXZ+DAgZQuXZoPPviAL7/8kvT0dCpXrsz48ePp2bOn7xyXu19mHS50OWVNmzblww8/\n5OWXX2bNmjWkp6dTrVo1pk+fTqdOnYBzAfmdd97hhRde4KeffmLNmjXcfPPNPP/887Rt25amTZtm\nmYd+9913s2bNGlauXMnChQvp1q1btvcMoEGDBnz88cfMnTuXH3/8kR9++IGyZcsydOhQBgwYcNGb\n/XK7FhfTuXNnSpcuzeuvv87y5ctxu93UqlWLqVOn0qJFC99+ffr0oXLlysyfP59vvvkGr9dLtWrV\nGDx4MF27dr3ke3qp8pw0bdqUli1b8vrrr/P9999TpUoVZs6cSceOHX372O123njjDebMmeN7umO9\nevWYP38+NWrUoHnz5nz//fcMGjToku/Lhb+/s2fP5p133uG///0vixYtwjAM6tSpwzPPPJNl2b1r\nfc1EJDAYpm5DFhGRfHL06FHatGnDXXfdxUsvvVTQ1RERyReaQy0iIiIi4gcFahERERERPyhQi4hI\nvtJ8YhEJdJpDLSIiIiLiB41Qi4iIiIj4QYFaRERERMQPCtQiIiIiIn5QoBYRERER8YMCtYiIiIiI\nHxSoRURERET8oEAtIiIiIuIHBWoRERERET8oUIuIiIiI+EGBWkRERETEDwrUIiIiIiJ+UKAWERER\nEfGDArWIiIiIiB8UqEVERERE/KBALSIiIiLiBwVqERERERE/KFCLiIiIiPhBgVpERERExA8K1CIi\nIiIiflCgFhERERHxgwK1iIiIiIgfFKhFRERERPygQC0iIiIi4gcFahERERERPyhQi4iIiIj4QYFa\nRERERMQPCtQiIiIiIn5QoBYRERER8YMCtYiIiIiIHxSoRURERET8oEAtIiIiIuIHBWoRERERET8o\nUIuIiIiI+EGBWkRERETEDwrUIiIiIiJ+UKAWEREREfGDArWIiIiIiB8UqEVERERE/KBALSIiIiLi\nBwVqERERERE/KFCLiIiIiPhBgVpERERExA8K1CIiIiIiflCgFhERERHxgwK1iIiIiIgfFKhFRERE\nRPygQC0iIiIi4gcFahERERERP9gKugIimex2OzVq1MBisWAYBunp6URFRTFp0iRq166dp2MePXqU\njh078ssvv+R6PqvVitfrxTAMOnXqxMMPP3zJ4y5evBi3202PHj3yVC8RyR8X+zcPkJCQwIsvvsj6\n9esJDw/HYrHQsWNH+vXrh8Xy9xjT4sWLWbx4MWlpaWRkZFC+fHmGDx9O3bp1AXj55ZdJSkpiwoQJ\nALz55pt8/vnnAHg8Hpo3b85jjz1Geno6ffr0wTAM0tLSOHHiBFWqVAHg1ltvZcyYMdjtdn766SeK\nFSsGwJIlS1i4cCFOp5OMjAwaNmzImDFjiIqKytae22+/nZCQEEJDQwFwuVxYLBYef/xxWrRowdGj\nR7njjjuIiYnBNE0Mw/D9d/HixdhsNjweD++88w7Lli3D4/GQnp6O3W7nscceo3LlygD06dOHY8eO\nUaRIEQDcbjcZGRkMHjyYzp07A9n78MzzzJ07l7Jly7JlyxZmzZpFcnIyXq+XMmXK8Pjjj1OtWjWA\nS26//fbbmTNnDrVq1QLgxx9/ZN68eZw4cYKwsDBKlizJkCFDiIuLA2DOnDl8+OGHLFu2jJIlS/re\ns3vuuYeJEyfSqFGjbO9nWloa//jHP5g3bx7BwcEX+1Ur9J588klq1KjBQw89dNmv+e677/jxxx8Z\nP3683+dPTEykadOm7Nq1ixMnTjB58mRefvllv49baJkihYTdbjeTkpKylM2fP9/s3r17no955MgR\ns0GDBpd1vsTERPP+++8333777Used+zYseZbb72V53qJSP642L/5lJQU88477zTfeust0+Px+MqG\nDx9ujho1yrffCy+8YPbs2dP8888/fWU//vij2aRJE1/ZnDlzzMmTJ5umaZr//e9/ze7du5tOp9M0\nTdN0Op3mI488Ys6aNSvL+devX2927NgxW73sdruZmJhomqZpzps3z+zVq5d5+vRp0zRN0+12m888\n84zZq1evHNvUunVr89dff81S9tVXX5nNmjW75PuRadSoUeawYcPM5ORkX9myZcvMli1bmmfPnjVN\n0zR79+5tLl++PMvrtm/fbtauXdtMS0vztePCPjyT0+k0b7nlFvO3337zlX366adm69atTa/Xe8nt\nmW3dsWOHaZqmuWLFCvPOO+80t27d6tt/y5YtZuvWrc3Vq1ebpnnuGtWtW9d8+OGHs9SlY8eO5oYN\nG3Ks59NPP21+/fXXF3m3rh8F/Xfq9OnTpt1u9/08d+5c87333iuw+uQ3jVBLoWGaJqZp+n72eDwc\nO3bMN2oD8Oqrr7J8+XJM0+Smm25i0qRJREdHs2XLFp5//nkyMjI4deoUt956K1OmTLmi8xUrVoyx\nY8fy6KOP0q9fP06fPs3EiRM5ffo08fHxlC1bltmzZ7N582a+++471q1bR0hICHfddVeO+5UoUeLq\nv0kikmcffvghtWrVyjJiFxUVxYwZM2jdujU7duygTJkyvPvuu3z77bdZRjWbNGnCk08+ydmzZ7Md\nNz4+Hq/XS3p6OsHBwQQHB/v6hMuR2Q+lp6fz2muv8dlnn/n6D6vVyhNPPME333yD2+3GZsv+Z/v8\nfgzgyJEjFC9e/LLO/euvv7J+/Xq+++67LCOyHTt2JDk5mdTUVMLCwnI8z6FDhwgPD/e97sI+9XwO\nh4PU1FRSU1N9ZZ06dSIqKgqPx3PJ7Re2e+bMmTz11FO+bwwA6tWrx7hx45gxYwYtW7b0HWPLli28\n9dZbl/z28fjx46xevZqnnnoKODfCGxERwZ49ezh+/DhVqlThxRdfJCwsjI0bNzJz5kwcDgdBQUEM\nHz6cFi1asGTJEr755hssFgsHDx4kKCiIGTNm+EbZz9enTx+KFSvG/v376dGjB/feey/PPvsse/bs\nwe1207RpUx5//HEsFgurV6/m+eefx2azYbfbWbduHR9++CHr16/n66+/5tVXXwXOfbtx/s+ZPv74\nYxYtWoTb7SYpKYlBgwbxwAMPsGTJEj7++GPfN8KdO3fm66+/5pVXXqFLly4YhgFAUlISCQkJrF+/\nHrfbnWs9ly9fzuzZswkLC/N9k5Cpa9eu/N///R/du3fP8ff4ehd4LZLrWt++fTEMg4SEBEJCQmjd\nujVTp04FYOnSpezZs4ePP/4Yi8XCokWLGD9+PK+//joLFixg+PDhNGrUiLNnz9KmTRt69uxJ0aJF\nr+j8drud06dPk5iYyBdffEGDBg0YMGAAAIMGDeKzzz6jX79+fPvtt9SoUYOePXvy7rvv5rqfiBQe\nmzdv9gWt8wUHBxMbG8umTZu46aabqFq1apYwnalTp045Hve+++5j1apVNGvWjNq1a9OgQQPatGnj\nm3pwufbt20d4eDjly5fPUh4SEkLHjh1zfd3o0aMJDQ0lMTER0zRp0aIF8+bN8213OBzcd999WV7T\nsGFDnnrqKTZu3EjDhg1znN7Qq1evLD/PmDGDefPmkZycjNPppEmTJvz73//OEo769u2L1WoFzgXs\n8uXLM2fOHIoUKcLo0aMZMGAA0dHRNGjQgFtuuYUOHTpgs9kuuf18SUlJHDhwIMf3t2nTpjz66KOc\nOXPG997NmjWLHj160LRpU2rWrJnr+/jtt99yyy23ZJn6s3PnTt59910A7r//fr766itat27N8OHD\nefXVV6lTpw579+6ld+/e/Oc//wFg48aNfP7555QqVYopU6Ywf/58pk2bluM5ixYt6psqNG7cOGrX\nrs20adPwer2MHTuWt99+m65du/L444+zYMECatSowdKlS1m6dGmu7bjQ2bNn+fjjj3njjTcoWrQo\nW7du5aGHHuKBBx4AYO/evaxcuZLw8HCWLFkCgMVi8Z0jOTmZ3r178/jjjxMaGpprPTt37sz48eNZ\nuHAhVapUYf78+VnqUbp0aUqXLs3mzZtp3LjxZdf/eqFALYXKggULKFq0KL/99hsDBw6kQYMGvpGa\nVatWsX37drp06QKA1+vF6XQC8Nxzz7F69Wpee+019u3bh8Ph4OzZs1ccqDM/jYeGhtK3b182btzI\nO++8w4EDB9i7dy/16tXL9prL3U9ECp7b7c6x3OVy+f79Z/4Xzs2p7dWrl28OdPv27Rk5cmSW10ZG\nRjJ//nyOHDnC+vXr2bBhA4888gg9e/bkscceu+y6WSwWvF7vFbfphRde4Oabb+bo0aM89NBDVK1a\nlXLlyvm2h4aG+oLShcy/5jln2r9/PyNHjsQwDFJSUhg4cKAveD3++OPceeedJCYmMmjQIEqUKIHd\nbs9yvMw+PCf9+vXj/vvv5+eff+bnn3/mzTff5M0332Tx4sVERkZecvv5DMPI8Vq6XC7f9kzVq1dn\nxIgRPPbYY77Qm5N9+/ZRsWLFLGUtWrTwBfoaNWqQnJzM1q1bqVixInXq1AGgWrVqxMbGsmHDBgBq\n1apFqVKlALj55pv55ptvcj3n+R8KMv/GLV68GACn04lhGGzcuJHq1atTo0YNADp37syzzz6b6zEv\nFB4ezquvvsrKlSs5ePAgv/32G+np6b7tMTExhIeH5/hah8PB4MGDuffee2nfvv1F67lp0yZiYmJ8\n9wh0796d559/Psvxypcvz/79+xWoRfJb5teFNWvW5Mknn2T8+PHUr1+fsmXL4vV6s3TuGRkZJCUl\nAdCzZ09q1qxJy5Ytad++PVu3bs31q8eL2bZtG+XKlSMsLIyZM2eyY8cOunbtSpMmTXC73Tke83L3\nE5GC1bBhQ9avX0/fvn2zlKelpbF9+3aGDRtGqVKl2LdvH8nJyRQtWpSIiAjfSF3mjYgXeuONN4iL\ni6NBgwaUK1eOrl27smnTJgYOHHhFgbpq1aq43W4OHz6cZZTa5XIxbNgwnn32WaKjo7O9LrO/uemm\nm5g+fTp9+vQhNjY2y3SIi70nb731Fh6PB6vVSuXKlX3tffLJJ7MEr0zFixdn1qxZ3HPPPcTFxXHX\nXXdlq8uFNm3axJYtW+jfvz+tWrWiVatWjBo1io4dO7Ju3TpKlix50e133nmn71jFihWjcuXKrF+/\nnjZt2mQ5z08//UTVqlWzBfDevXvzww8/XDSIGoaBx+PJUpZ5s2fm9sxpLRe20+Px+KbkhISEZHvN\nyZMnGTRokK/stddeA8gSZL1eLy+99JIvkGaOsm/cuDHbB62cPvzBub+LFzpx4gTdu3ene/fuvuu1\nevVq3/aIVnMZAAAgAElEQVTcwrTX6+Wxxx4jJibG9w3sxer5008/ZXlfMr+puPB9Ov8bgEASmK2S\ngNChQwcaNmzo6wCbN2/O4sWLfXPs5syZw9ixY0lJSWHnzp2MGTOGtm3bcvz4cQ4dOuTrGC833J44\ncYIXXniB/v37A7B27VoefPBBOnXqRPHixVm3bp2vU7Narb6O62L7ici1l9u/+Z49e7Jv3z7eeOMN\n37/R5ORknnzySRo3bkzt2rUpVaoUffv2Zfjw4fz555++1x47dozNmzfnGAacTiezZs0iISHBV/bH\nH39km0N6KcHBwQwYMIBx48b55l+7XC6mTJlCenp6jmH6Qg0aNOC+++7j6aef9pVdrA+sW7cut9xy\nC48//jiJiYm+8r179/Lbb7/lGIrg3Ejj4MGDmTp1Kg6H45L1KlmyJK+++iobN270lR0/fhyHw0GN\nGjUuuj0mJibb8Z544gmmTp3Ktm3bfGW//PIL06dPZ8yYMTnWYerUqaxatYpDhw7luL1y5cocOXLk\nkm2pV68eBw4cYPv27QD8/vvvbNq06aKjrqVKlfJN1ViyZIlvBPt8zZs355133sE0TVwuF0OHDuWD\nDz6gYcOGHDx4kD179gDw9ddfc+bMGQzDoHjx4uzZsweXy4Xb7ea7777Ldtzt27dTokQJhgwZQrNm\nzVi5ciVw6b+NTz/9NB6Ph4kTJ15WPWNjY9m7dy+7d+8G4JNPPsl2zMOHD/uCeKDRCLUUGhd+0gaY\nMGEC9957L2vXruX+++/n5MmTdO/eHYvFQpkyZXjuuecoUqQIgwYNonPnzpQuXZpq1arRsmVLDh06\nRPny5XM8bub5Muf7GYaBxWKhW7duvhHwoUOHMn36dF577TVKlCjBXXfdxcGDBwFo2bIlkydPBmDY\nsGG57ici157D4aBhw4bA31MaFi5cSPXq1Vm4cCGzZ8/m7rvvJigoKMflMkeMGMHnn3/O6NGjSU9P\nJyMjg5CQEO6+++5s84oB/t//+39YLBZ69uzpm7ZRp04dZs+efVn1Pb+PeuSRRwgPD6d///4YhoHT\n6aRx48ZZ5kTn9tpMo0aNon379ixcuJDmzZvjcrmyzKHOfE+mTZuG3W5n5syZvP/++wwaNAiPx4PL\n5aJo0aL06tWLrl275nqehx9+mKVLl/LKK68watSoLH3q+ecZOXIkLVu2ZO7cucyePZs///yTsLAw\nIiMjmTx5MpUqVQLIcfs///lP3zSM8+vQqlUrpk+fzuzZszlx4gSmaXLjjTcyc+bMHJfDAyhRogTT\np09n4MCBOW5v27Yt8+fPzzYN5kLFixfnpZdeYvLkyaSnp2O1Wpk2bRoVK1Zk8+bNub7uQheeY/z4\n8UydOpVOnTrhdrtp1qwZAwYMwGq18vzzz/tu/KtduzZWq5XQ0FCaN29O48aNadeuHaVKleKWW27x\nBdpMLVq04D//+Q933XUXN9xwA23atOGGG2646N+pLVu2sHjxYmJiYujatavvPZkyZQoTJkxgypQp\nudZz9OjRBAcHZ7sOmfcnxcbGXvZ7dD0xTD++m+7SpYvva5Vy5coxePBgxo4di8VioXr16kyaNAmA\nRYsWsXDhQoKCghg8eDC33XbbVam8iIhcPvXZIhc3ceJEmjZt6psvXBikpqYyb948/vGPfxASEsLO\nnTt55JFH+P777wu6alfk5ZdfpkSJEvTs2bOgq5Iv8jxCnTnxP/PuV4AhQ4YwatQo4uLimDRpEitW\nrKB+/fosWLCAJUuW4HA46NGjB82aNSMoKMj/2ouIyGVRny1yaWPGjGH48OG0adOm0DzYJTIykqCg\nILp27YrNZiMoKIiXXnqpoKt1RY4fP87OnTuZO3duQVcl3+Q5UO/atYuzZ8/Sv39/PB4PI0eOZOfO\nnb47Vlu2bMnatWuxWCzExsZis9mIjIykUqVK7N69O89PvhMRkSunPlvk0qKionjrrbcKuhrZjBgx\nghEjRhR0NfLsxhtv5JVXXinoauSrPAfq0NBQ+vfvz//93/9x4MABBg4cmGWCe0REBKmpqaSlpWV5\nXGp4eLjvjlAREbk21GeLiOSfPAfqSpUq+W4UqFSpEsWKFWPnzp2+7WlpaRQpUoTIyMgsTz7KLBcR\nkWtHfbaISP7J87J5n3zyCc899xxwbrmx1NRUmjVr5lvYfM2aNcTGxlKnTh02bdqEy+XizJkz7Nu3\nj+rVq1/02FrDV0Tk6lKfLSKSf/K8yofb7WbcuHEcPXoUwzAYM2YMxYoVY8KECWRkZFC1alWmTJmC\nYRgsXryYhQsXYpomQ4YMoW3btpc8/qlTgfEVY3R0VEC0JVDaAWpLYRUobYmOjrr0TgVAffblCZTf\nQwictgRKO0BtKayuRr/t17J5+SmQLlIgtCVQ2gFqS2EVKG0prIE6vwXCtYPA+T2EwGlLoLQD1JbC\n6mr023pSooiIiIiIHxSoRURERET8oEAtIiIiIuIHBWoRERERET8oUIuIiIiI+EGBWkRERETEDwrU\nIiIiIiJ+UKAWEREREfGDArWIiIiIiB8UqEVERERE/KBALSIiIiLiBwVqERERERE/KFCLiIiIiPhB\ngVpERERExA8K1CIiIiIiflCgFhERERHxgwK1iIiIiIgfFKhFRERERPygQC0iIiIi4gcFahERERER\nPyhQi4iIiIj4QYFaRERERMQPCtQiIiIiIn5QoBYRERER8YMCtYiIiIiIHxSoRURERET8oEAtIiIi\nIuIHBWoRERERET8oUIuIiIiI+MGvQH369Gluu+029u/fz6FDh+jZsye9e/fmmWee8e2zaNEiunbt\nygMPPMCqVav8ra+IiOSR+mwRkfyR50DtdruZNGkSoaGhAEybNo1Ro0bx3nvv4fV6WbFiBfHx8SxY\nsICFCxfy5ptv8sILL5CRkXHVKi8iIpdHfbaISP7Jc6CePn06PXr0oFSpUpimyc6dO4mLiwOgZcuW\nrFu3jm3bthEbG4vNZiMyMpJKlSqxe/fuq1Z5EZHznSKV362n+d16mhTSC7o6hYr6bBEpbA7bkvlv\nyB4+C93NjuATBV0dv+QpUH/yySeULFmSZs2aYZomAF6v17c9IiKC1NRU0tLSiIqK8pWHh4dz5swZ\nP6ssIpLdb9ZTbLed4rCRwmEjhY224xwiqaCrVSiozxaRwubH0MO8HLKBlbaDfG89xL+DtrE4dGdB\nVyvPbHl50SeffIJhGKxdu5bdu3fzxBNPkJiY6NuelpZGkSJFiIyMJDU1NVv55YiOjrr0TteJQGlL\noLQD1JbCKq9tOU4q6XgpRniW8nic3EwIYQRfjepdt9RnXxm1pfAJlHaA2gIQTyorOUjIBX3zdk4R\nF5VMY8pdjepdU3kK1O+9957v//v27cszzzzDjBkz+Pnnn2nUqBFr1qyhSZMm1KlThxdffBGXy4XT\n6WTfvn1Ur179ss5x6lRgjIpER0cFRFsCpR2gthRW/rRlr/UUScbZHLftcZ+kLEX9qdoVKYx/LNVn\nXz79myp8AqUdoLZk+jnkGIm2nKflbfYcpbLj2vXZcHX67TwF6pw88cQTPPXUU2RkZFC1alXatWuH\nYRj06dOHnj17Ypomo0aNIjj4f3ukSESuPstFZq9ZtTpojtRni0hBsWHkui0I6zWsydVjmJkT6goZ\nfYIrXAKlHaC2FFb+tCWJdDbbjmcrD8LgVnd5rNewgy6MI9TXgn4PC59AaUugtAPUlkwO3MwK/5FE\nw5Gl3AI84oyjirv4Vajh5bsa/baGbkTkuleMMKp6i2UpC8LA7r7hmoZpERG5tFBsdHbbKUKIr8yG\nhQ7eatc8TF8tV23Kh4hIQaroLU4pbwSnSccC3EAkwQrTIiKF0s2uaCq5ovg1JAE3HmpklKSkN/zS\nLyykFKhFJGCEEUy5//EVPURErhfhhNLIWbagq3FVaMqHiIiIiIgfNEItIiJynUg3MkiyOHDjJcIM\nppg3FMtFVkwQkWtDgVpEROQ6kGxxcNCSTObSXAmGg0QjnUqeYloeUqSA6V+giIhIIefF5KiRyoXr\n3KYaGSRYHDm+RkSuHQVqERGRQs5hcZNheHLclmpxXuPaiMiFFKhFREQKOcPMfZ605lCLFDwFahER\nkUIuzLQRQVCO24p5Q69xbUTkQgrUIiIi14Hy7iKEmn8/rMgASpuRFFWgFilwWuVDRETkOhCCjRqe\nkpy1ZJCBlwgziCBTTwMVKQwUqEVERK4TBgYRXj0NVKSw0ZQPERERERE/KFCLiIiIiPhBgVpERERE\nxA8K1CIiIiIiflCgFhERERHxgwK1iIiIiIgfFKhFRERERPygQC0iIiIi4gcFahERERERPyhQi4iI\niIj4QYFaRERERMQPCtQiIiIiIn5QoBYRERER8YMCtYiIiIiIHxSoRURERET8YMvrC71eLxMmTGD/\n/v1YLBaeeeYZgoODGTt2LBaLherVqzNp0iQAFi1axMKFCwkKCmLw4MHcdtttV6v+IiJyGdRni4jk\nnzwH6u+++w7DMPjwww/ZsGEDs2bNwjRNRo0aRVxcHJMmTWLFihXUr1+fBQsWsGTJEhwOBz169KBZ\ns2YEBQVdzXaIiMhFqM8WEck/eQ7Ubdu25fbbbwfg2LFjFC1alHXr1hEXFwdAy5YtWbt2LRaLhdjY\nWGw2G5GRkVSqVIndu3dTu3btq9MCERG5JPXZIiL5x6851BaLhSeffJIpU6bQsWNHTNP0bYuIiCA1\nNZW0tDSioqJ85eHh4Zw5c8af04qISB6ozxYRyR95HqHONG3aNEaPHk23bt1wOp2+8rS0NIoUKUJk\nZCSpqanZyi8lOjrqkvtcLwKlLYHSDlBbCqtAakthpT770tSWwidQ2gFqS6DKc6BeunQpJ06c4JFH\nHiEkJASLxULt2rXZsGEDjRs3Zs2aNTRp0oQ6derw4osv4nK5cDqd7Nu3j+rVq1/y+KdOBcaISHR0\nVEC0JVDaAWpLYRUobSmsf2DUZ1+eQPk9hMBpS6C0A9SWwupq9Nt5DtTt2rVj7Nix9O7dG7fbzYQJ\nE6hSpQoTJkwgIyODqlWr0q5dOwzDoE+fPvTs2dN3A0xwcLDfFRcRkcunPltEJP8Y5vmT6AqRQPrU\nEwhtCZR2gNpSWAVKWwrrCHV+C4RrB4HzewiB05ZAaQeoLYVVgY5Qi4iIyNXnwcOftnPz2Mu4I7Fi\nLeAaicilKFCLiIicZ48tnu22UwRhoVFGWcp4rt23DgeDklhpPcBpIx2AYrZQWnsqUSWj+DWrg4hc\nOQVqERGRv8xnM0tDf/P9/IXtd3p6atEqvXK+n/ssLr6w/U46bl9ZkuHgK9te+mbUJpKwfK+DiOSN\nX+tQi4iIBIpfg0/yJb9nKcvAy8fWXcRzdeaKejE5YU1llzWeX62nOGpNIQMPALuDE7KE6UzpuNkd\nnHRVzi8i+UOBWkREBNhqPZFjeRoZ7Ag9fVXOcciWzHEjDafhwW14iTfS+cOaiAcvrhzCdCbnRbaJ\nSMFToBYREQGsGPl6/LNGBsk4s5U7DQ9JFiflPLk/QKeC99IP1xGRgqNALSIiAtRz35hjeSTB1HeU\n8vv4DiP3UWaHkcFNniLU9mY/Ty0zmnLuon6fX0Tyj25KFBERAewZN9AZO4vZgfevsjBs3O++mWKE\n+338kIssfxf817a2zkqUDy7CfksiABW9xajpKun3uUUkfylQi4iI/KU39bCnF2d7UDxWoJGjDDcQ\neVWOHeENJsISRBoZWcptpoXinlAArFi52RXNzURflXOKyLWhQC0iInKeip7iVPTkz7rPldxFOWZN\nJdlwYAJRBHOjNxKbHt4icl1ToBYREblGbFip4CmKh3MPi7HqViaRgKBALSIico0pSIsEFv2LFhER\nERHxgwK1iIiIiIgfFKhFRERERPygQC0iIiIi4gcFahERERERPyhQi4iIiIj4QYFaRERERMQPCtQi\nIiKX4MZb0FUQkUJMD3YRERHJxUlbGrssp4g30gkxbVQxixGTURKLxqNE5DwK1CIiIjlIsKTzg/UQ\nHkwAzhoZ7DBO4Qr2Us9VuoBrJyKFiT5ii4iI5OAPW4IvTJ9vn5GIC3cB1EhECisFahERkRykkZFj\nuRsvqRYFahH5mwK1iIhIDooQkmO5DQsRXs2YFJG/KVCLiIjkoIq7GLYc/kzWMEsQoluQROQ8CtQi\nIiI5KOYNo0VGBcqakQRhoYgZQn1vKWq6bijoqolIIaOP2CIiIrm4wRvODa4KBV0NESnk8hSo3W43\n48aN4+jRo2RkZDB48GCqVavG2LFjsVgsVK9enUmTJgGwaNEiFi5cSFBQEIMHD+a22267mvUXEZHL\noH5bRCT/5ClQf/bZZxQvXpwZM2aQkpLCvffei91uZ9SoUcTFxTFp0iRWrFhB/fr1WbBgAUuWLMHh\ncNCjRw+aNWtGUFDQ1W6HiIhchPptEZH8k6dA3b59e9q1aweAx+PBarWyc+dO4uLiAGjZsiVr167F\nYrEQGxuLzWYjMjKSSpUqsXv3bmrXrn31WiAiIpekfltEJP/k6abEsLAwwsPDSU1NZfjw4YwcORLT\n/Hvx+4iICFJTU0lLSyMqKspXHh4ezpkzZ/yvtYiIXBH12yIi+SfPNyX++eefDBs2jN69e9OhQwdm\nzpzp25aWlkaRIkWIjIwkNTU1W/nliI6OuvRO14lAaUugtAPUlsIqkNpSGOVnvx1I105tKXwCpR2g\ntgSqPAXq+Ph4+vfvz8SJE2nSpAkANWvW5Oeff6ZRo0asWbOGJk2aUKdOHV588UVcLhdOp5N9+/ZR\nvXr1yzrHqVOBMSISHR0VEG0JlHaA2lJYBUpbCusfmPzutwPh2kHg/B5C4LQlUNoBakthdTX67TwF\n6tdee42UlBReeeUV5s6di2EYjB8/nilTppCRkUHVqlVp164dhmHQp08fevbsiWmajBo1iuDgYL8r\nLSIiV0b9tohI/jHM8yfRFSKB9KknENoSKO0AtaWwCpS2FNYR6vwWCNcOAuf3EAKnLYHSDlBbCqur\n0W/rSYkiIiIiIn5QoBYRERER8YMCtYiIiIiIHxSoRURERET8oEAtIiIiIuKHPD/YRfznxeSs4cKJ\nBwsGoaaNMIIKuloiIpIDL17225I5bjmDF5PSZgRVMkpg09iUyP88BeoC4sXktJGOx/D6ypyGB7fp\nJcoMKcCaiYhITjYFH+eAkeT7+biRxongNJq5ymNRqBb5n6YeoICkk5ElTGdKMzLwkL1cREQKToLF\nkSVMZzpupHHclprDK0Tkf4kCdQHJMDy5bnOR+zYREbn2TlvO5rotweK4hjURkcJIgbqAWDBy3WbV\nZRERKVTCsOa6Lcir2ZMi/+uU3ApImJnzzYc200LwRTpuERG59m50RxFhBmcrD8ZKRXdkAdRIRAoT\nfawuIEFYKeYNIcVw4TVMAH41T7AvOIkUw8mNZjhxzpuIIbqAaxoYvHjxgu7GF5E8sWGhhrc43wcd\n4qTlLFGeEM5aHPwWlMCMsHWUI5IWzkoMS29U0FUNGB68F/02V6QwUaAuQKEEEWLayDC9rLMc5IeQ\nI75te41kDoWm0N0BVRSq88yLl5OWtHMrqmASatqw6hsAEblCu4Li2W45SZQ3hHBvMMesycwP3kYK\nTkxM9pPI9yGHcRguRp9tVtDVva4lWNI5aaThMjzYTCteDPXaUuhpuK6AGRiYuNkYfCzbNhcmm0JO\nFECtAsefljOcNM7i4dy3AA7DzQGSOYNuIhKRy3MWFzstpwAwOXcPzKbgEyTiyPat1zfB+0gksQBq\nGRiSLA4OW1JwGud67QzDw1HOEG9NK+iqiVyUAnUhkISTtFxW9ogn9zvL5eLceEk0nDluS7CkX+Pa\niMj1Kt6W7vtQDhAKHCMZ4LzSc37jFMctOfc7cmnxuaymcpJ0zGzvtkjhoSkfhUAxQojAmmOoLkpo\nAdQoMLhw482lA3aqYxaRHHjwctKaSrLhxMBCUW8IwReMPTmAG4gEErLN8K1GNDd69XCuvHLmMrjk\nNjx4MbFqTrUUUhqhLgRCCKGOu3S2cgsQ6yxz7SsUIEKx5dr5hulXX0QuYGKylwT+NNI4i5s0XByz\nnMGBm6IXPMG2oas0Oa3V1NpdgeIUvzYVDkDhuYzzBZtWLSkrhZpGqK8hD14cxrlR0yDTQgg2jL8C\n313u6thMC9ttpzhjOLnRjOQWZ9lsq3ycxYUJhGHTo24vwYKFaDOc40baBeVQ3BteMJUSkUIrxeIk\nlQzfzxm4OWJNJdVwUMFbFMMMIemvaWS13aV53LyV70IOsZcEyhJBy4xKjE9rkeWYiZZ0zhoZFPeE\nEk72Zfckq2hvBCkWV7byUmZEAdRG5PIpUOcTF25ScRFEEF68uPCSbHH8PdHAgGDTTXEz1Beq23iq\n0sZTlRScFCHraIgDN4csKTiMc519kGmhrDeSooRdw1Zdf0p5I7Fi4bQlnQzDQ7gZRDVKko7mOIrI\n3/ZZTvJd8GEceKhvlMJmWvgu+CCJxrkbmA9aUijjjaSNqzJhliBKuM8Nazya3oTDnCSSoCwj0+m4\nWBl6kN1GPF7ODYLEecvS2HlTAbXw+hDpDaYqxTllOfctQQhWqlAct9dd0FUTuSgF6nxw3JLKyb9G\nRdPwkmo5S4QZTPAFb7fL8HDWzCDiglGLC8O0Fy8HLIm4DK+vLMPwctCaQg1PEKG6jBdVknBKnjci\nHUmwArWI+CwI3cqboVs4SRoeTEpEhHKvJ4ZE79+rAVkwSDQc7AyOp72jWpbXl6dUtmOuCTnMb0a8\n7+d03HxvOUR4cBC1Xdn3l79FeoOJ9P79d7E4YZziTAHWSOTSNGfgKkvG4QvTmc4abo5YU0gng0Qj\nnQQjnVTDhQcvTiPnGzDOdwZXljB9viStViEikme/WU4xN3QjJ0nDAAwgjQwWWn8lDCvJFheJFgcp\nhhM3JvuNSy+Jl46LPZbTOW7bbYnPsVxErm8a2rzKUiw5r2+cYDgINqy+UWo3XpyGm1Dz0pfAQ85h\nGiAjlzuiRUTk0laE7SMZJyFYCfrr8SEWDLyY/GFLwu0990CoE0Yap63p1PNcenQ53erGlUvffBZN\nXRAJRBqhvsrc5y3HZmLiJAMXXs7i4ijJHCEZ1183vXgwwbz08m0Xu5ElwqubXERE8sqF17csnhWI\nwEY6GZQhjFKEUcQIppwRgdtwcdpIB4tJBh68eDluO8MBWxKpF6w7XdQTQkkz5/tbypqR+d0kESkA\nGqG+yop4QzhjPTedI8FIJwkXOywn2B+URFlPOAYWdnOaWu4bqEJJrIYl+5MBLhCKjWgznFNG1gXv\nw00bxbROtYhInjV1luO7oP2cwUUyDpJwUItSxJPKeuNPThhpOMigPdW40RNMsNfGdutJTlrTOGOc\nW43CsEJN8wZq/TU32oqVpt5y/Nf6e5bvF4uYIdRzZl8iVUSufwrUV1lxQkk2HeyzJJFkOLBh5aAt\nkQhvMGmGm5LeMCxYOGhNobq7+GWvq1nGG0UoVpIsTkxMIgnmBm+4ls4TEfFDPXc0ZSnCWg6RiAMr\nFn4jnlCCiCeNyhTnMMl8xwEGmbGEm0FsDToBGESa51aiNoGdRjzFbaGUdRcBIMZ1A+G2IH61niLN\ncFHSjKCuM5oSaMlOkUCkQH2VWbBwkzeKU0YaGAYpOCnjjSTd8JCBF4fFSxHvubf9BOmUN0tc9rGL\nE671k0VErqJtIacId9uItp3rW28kkr0kEI+DckSQjosbCMWBl92W0zQ0b2S75eRfD3rJ+miXw5YU\nylLE93N5d1HKu4tey+aISAFRoM4HJgZhBGPxGiSRThpugk0LGFY8f92oYsNCOEHYNMIsIlJgEkkn\nxLSRiINwbEQSRAnCsQBRBHGQM5QglJOcJdQwiPjrvhfrXzcwns9zqfl7IhKwlObyQTAWzuBkq/UE\nf5LKMWsKR62puPFQ1BtCUTOYSDOYit5iBV1VEZH/aaWIxMSkDtE48bCDU6Th4gRphGCjJMGcIp1Q\nbJwxMthuS6KIGUJ4Dis0lfbqhkOR/1V+BeqtW7fSp08fAA4dOkTPnj3p3bs3zzzzjG+fRYsW0bVr\nVx544AFWrVrlV2WvFy7c7LXG85s1nv0kkE4GR0kh0UgjxLRiYKG2J5qiuqFQRK4h9dnZ1XaWoopZ\nlEScOHATho3ShFOBIvxJClUowQ2E0ZIKgIddQae5w12ZoAv+fJYxI6mo6R0i/7PyPOXjzTff5NNP\nPyUiIgKAadOmMWrUKOLi4pg0aRIrVqygfv36LFiwgCVLluBwOOjRowfNmjUjKCjoEke/vu2xJLDL\nmkCy6eJkgoeURA9RhJEYZJARZtKaCpTkykcyzi3UZGLD4ntcuYjI5VCfnbNQbNRxR7MseA/RRODG\niwsvxQimOGG4MSlNOGs5TAg27qU4ldzFKeEN45A1hQzDQ0lvOOXcUdluEnfiJt3iJsJrI0gzLEUC\nWp5HqCtWrMjcuXN9P//666/ExcUB0LJlS9atW8e2bduIjY3FZrMRGRlJpUqV2L17t/+1LuT2cZpj\nljMcTnBzypFBGm6Ok8axDAcJiZDgubLHXnsxSTTS/z979x5mZ1UffP+77tM+z3kmmWQmJOQACRBI\nCIIEEBQQHlEROekDeKSE97EXKFKDVYN9UPCq1tZC+9Zeymv7tIKotLaoj9JSFKQQggkQSEzIgWRm\nMpmZzMw+38f1/rEnO5lkQhJmmBO/DxfXlb32Pfe91r5nfvu3114HeowifUaJvapIaWgtayGEOBYS\ns4+snxL9uBTx6SDHDrLsJM8G9lIkYBCPCE2WMjtUlv+Ibeb/xF7iv83dDCqP5iAxLJmOiHjJ2cvP\nY1v5tb2Nn8deY6Ozl+gNNukSQkxtbzqhvuSSSzDNA5My9EEblKRSKfL5PIVCgUwmUy1PJpPkcrk3\ne8kpY9D0iDyDgcAb6lOu/JfDx41CXvPyx3c+VR62RblWmkHDxZUdt4QQx0hi9pHtiA9Sg8M+XPyh\niebETCMAACAASURBVIURGp+IGAbd5KkjTgspdpFlvdlLiYBB5bLO6OT/xrcNO98Wex+bVC/BUALt\nEfKK6uU1e9+4t00IMT7G7DsowziQmxcKBWpqakin0+Tz+cPKj0Vzc+boB01CERFNJGkspDATLiEa\nJ2Fio2gkiZOw0UlFc93w9gVE7CFPEQ8DRRMp6ogTEOHDiANEEljUM/JuXG+FqXpPRiJtmZymU1sm\nO4nZB0QYuITMIMlOsmBXepvayTBAiRbStJNmH2W6KGDbNnEsXAIGcHmJHhZkGngX8zAweIpd1Iww\nR2YvLucyvq/TVL4vB5su7QBpy3Q1Zgn1kiVLWLt2LWeddRa/+c1vOOecczjttNP49re/jed5uK7L\ntm3bWLhw4TGdr6dn6vaKtBgJMsqkuRTHT0SUSyEKSGKxW+dIGiH/sW8LJ4S11JIgIGKr0YenDnwd\nuJN+ZuoUtVGcfqM84nUcbRLo8emlbm7OTOl7cjBpy+Q0XdoyVd5gJGZXFJVPkPGxDZMEEYvtBkJf\n00icnWRR2Nho9lIkhcPJNOK4ii4jy06VrZ7nl9Fr5AOXFd5s9sbyIy6hV8Kjxx2/12k6/U1Nh3aA\ntGWyGou4PWYJ9Re+8AW+/OUv4/s+8+fP57LLLkMpxY033shHP/pRtNZ87nOfw3GcsbrkpDU/amQR\n++gKNLtKRTx8aomzDxfbUFjxBHt1gUGrzLJgFkXDG5ZM79ejitSRQDHy7uSOrHoohHiTJGZXuMrH\n8E0WxupZRxf7KBIOTUxMYpHHIxiKwCU8rveWUiIYlkwDpLDZpXKcaJVo0gm6VfGwazXq8ftGUQgx\nvpQ+eCDdJDKVP/V0ZV1+5m5lg91Lrw6wBk2KtUWSGVgcTzLLqGGGzpDUFu26Bksb5JQ34rnmhbUY\n6vDnDa1o1Ilj3rp8tKbbJ1Fpy+QzXdoyVXqox9pUvXevWft4JL6RbVY/eykS2hrfr8x+KePTSoYd\nDGBhMFunSRNjSdDAK6q/eo4m4pzltwFwStRMk07ylPn6sF5qC4Pzgjk0h+O32+10+puaDu0Aactk\nNal6qEVFuQwvlwZ43SngqoAo5aJNE9OMqK9RmKGJrU2ioUBbwKPxDcZBmxgktYOpFSUVEKKJYZLU\n9rgl00IIMV3tM0rkzBLP0kktsaH/HbopEqDZzD4CQkoEOMok0opToyY2mwMYKGbqDIuC+ur5Ytqi\nJUhxQXQC26x+8vhksJkfNNAQSQ+1ENOVJNRjrFyGP5i9vG4OUlQeeeVhmTCgPZK+Q0Z7bPVzJCOX\nFpWgyUxSp+P0m4cvpZfUNkkqX7fGsYnr6bsWrBBCTISsKjKgfJI4ZPGxMXmVXhxsUlgYgIOFiUGI\nZk6U4aLSQsqOwlXBsOXy4li0BZWerqYoSZM3fr3RQoiJJV2cYyxLiV6zwF6zwE67j9dVP6+afWgL\nulSeXu3ihhFuqOnyi3RlfRLaZnaYwdIHbkda28yJjm12vRBCiDfH1IocZUwghkkHOdRQmryLHAks\n9pBHA/soUjB9NrGX84I51B80JrpWxzgnaCN2SD9V3nDJG8e394AQYuqRHuoxpmIh26N+9hpZ8njE\nApNFqg7LgKTtMGgVmBE4NAYZ4tqg28yz3R1kYbyB+ihOiQATg7jcGiGEeMtlSDCLDIP42EAtNjNI\nA5oSEVnKXEAbNhqbGK/Sx68y27kzt5JLvfnVVZjqo+HL5PUbJV6yuquTE5t1kjOCGdTJsA8hpiXJ\n2sZYLK7pC3LEtQmGScpUdJj7MOMhTSpOqEIG0wVOMULq3DqgjGEGNJGgngQppveMeiGEmExmeyky\nSYeZpNhKPyEhOxlkEA8bgyQWneRZSTv/h5cB+C/zdc5ItHJJ6cTDEmkAj4DfWbspqgM72vaoIk9b\nu7nEm4cjb71CTDsy5GOM9Zo5EvUhbiaPGY8wHI2f9MkaHj0USeBQViHrk3uqL36kYKspO2gJIcR4\n2+DsJcCnhyKg8IjYTZ4iAQYKl4A4Fo+zjVWcDoCB4h+sDXSQHfGcnVZ+WDK9X1H5dFjTY1UEIcRw\n8jF5jPVRxvBN6gfryXkumhhJyyRZ6xHEXHaSpYEESkX0JPZR5ydJq1pyyiNLiZpx3PlQCCHe7vJ2\niR484pgYxEhhkcBmkDIlfFLYzCRNMwlcYBXLUZHmNQZ5NtHBVaXD57qUCPAI6DVLFPBxMGmJkiS0\nTZHx2YxLCDG+JKEeY5EOMfoSBKUSea0omz4Bivg+h9oWRc502UORRmJ0OYNsVYNQVqRLKWwdo832\nabbjpJUM/RBCiLeaH4GDSRyL3fTTTRGXgCQ2FgoHi27ydJInjsNGelhoNJLD5VXdyz/HX2JeVMeZ\n3iwcTABiGLxi9uKpsHqdHrPIwqiexvDwISJCiKlPEuoxli0G7BoMyNkBgRFhGwZGCJZpUy6GmBmF\nDRhY7DFzOG6c3/ndLC/OYotbxo/b9Dg+J2dS1FAJvB4hRVXZrctCkdRONXAfix7yvG7myKkyKe3Q\nFqZppfYtegWEEGLqSGkTH81r9PM6OSwMfCJyeLSSYjdZ5lFLgYC17KaJNF1kSWDxmLWFD4bz6TLz\ndMcLXFk+mReNLn6e2MoeI09WeSSxSAYOGW0DmpnB0TeQ6DEKPOd0sFMNEtc2i6NG3uHNwjyOuC+E\nGF+SUI+xLaUCJeVTJqBJJ+mjhGFqushxRljPAB71pNlLDgObWk9RMjxqdJyBIKQY+IBNp1smHYvh\nEzJglKv7bQVAVuXJRHZlbWosFOqI9ekhz0tWT/VxTnm8au0jDKBNkmohxNvcgHLZR4kAyGDTQAyG\nkuosZWaQIkOMRiqrMPVRookkKRx20M8Wp5/ZQT2vRf380tnC/5fYwMuqh0HKpImRxOJd1hxqgxhF\nfP5g9LEoajxifQYp8VNnE/mh3XFLKuB35m6yMY/3uvPH50URQhw3SajHWJ/lEVMmtk7QZxdwTNBA\nmjg5u4yBTS8lmsnQG5WoNRJErsfOKEu/08c2K07KsjiZGmKE1KokB+8Nn1UuZQLypkdcm0Ra06Yz\nxI+wOkiHOfIEmJ1mlrZQEmohxNtbgCKPyyyS1OLQQY4yIc2kqCeJjcEALt0UaSZFGZ9BXCwUM8kQ\nKnjN7sNEkdUenirSRwmAAcrMYybP0sV2q585Vppfx3bw4fJJfLy8bMT6bHR6q8n0wV4x9rLCbKVx\nDLcu7yfLb2NdWFpxvjeHDDIc5Uh8FaLROFrSJjEy+c0YY6YZ0hw36VEhOaOMicLCoNmK4SfLFPCw\nsNhJlhaVpDsapI1GSlYJbUW8amWJ0BQpoB2P+UE9J9EMQAmfnqBIZ1iix8oRw6LWttlED0v9mcyh\n7rD65NTIGwq4KsAjPK6hI+OlHIXs8LIEaOpxmB1PT3SVhBDTVNowOYEa/kA/neTI4aOATrLMJE1E\nREhELQ5dZJlHHRGaHD4pHJ5kF3l8ZpNmrergVGYwkwx7yLGYJjbRh43mFJp5nRzb6WRLvI9eJ89N\n2WW0MDy+7VOlEesZAX1GccwS6p/FN/FgbMPQ6iYwO/Einy6dwSXeguM+1wAlfpHYyutGljlRDZeX\nFlA3TSbYuwR0WDlyVD7kJLXFrKiGlOxcLA4hCfUYm6VttmQitFVkfqkWP4rwEy522iNSEQGaBkxc\nTJSCRMwhMF2yRsAus0ASg1rt0F2bZYcy6TMKtHoZaojzWjDIi+4A/XaRwahMPLJojuLMi6X5g9VH\nPDBpYfj4vKSOMajKh9Uzpq1JmErDHrfAWq+Hgz8GtOo8Z8ebsdRkrLEQYirL4ZMmjo3BAhoYxMOl\n0htpQTUx3L+sno1JEwlCIl5kb/U8g5RpIc1v2cU1nMQ69lJLjDQObWR4ib0ERBjAAC5PGrspZzRf\nyl0wrD61xEaspwIaxmhTmK1GH/fH1g5bcaSDHH+TWMdpXuUDwTGfix7+d+3TbFQHhhb+u7OVLw6u\n5BRaxqS+E0Wj2W4O4HJgcmlRBWw3+zk5aGRyvouKiSLrUI+xUFnEnYjmuENX8x56ZvSSrcnRaeTo\nw2U2CSxM4lQ+3ZYTRTqCErsp0ZRPQckhSkTstgboMnJ0qCL/be6mGHlsdXMoIgaMIjFd+UPuicoM\n+JX0c49ZOKw+7eHIvbuzdXpSTnDZ4O/j0D71rqDMa76s3SqEGHs1yiEkwsLgWTrZTC9d5BigTISm\nBocYBrXEqMEhhU0/ZTwiUjjEsajDJqDyhhoC+/DYzSA7ybKHAj0UmUMt4dDzJoqIiKfN3eTJD6vP\nKW4ziRH6uhbpBprC1Ji0+YnEzhGX7+uhyBOJHcd1rn/KbByWTANsVr08XLNxNFWcFHKGh3vQSi37\nhWj6zcM7qsTbmyTUY8wthYRKsUcP4KMpRwElAkKiyvirME4Bl4CQGCaZMI5KBKi4TywTUHBKdBTK\npMMYHppAhfgE7AgG0FoRRhorsFH6wETEfBhgYOAPG21d0UKGxUEDGe2gqPRMzw/qmRvVj+Orcmx6\nvBI5fXjwAtgbjvw1qBBCjIZSmgjoIE8MCwcLjWKAMjl8DBS7yOISUsTDxOAP9GMCdUOTDt2hgSEB\nEW2kyVKmdqjbZDENRIT0kKdlqLfbxsDBoo8ieYZvANNAkvd7JzFf12NhkMLhzKiV95TnjVmbSxy+\n6cx+ReP41sleZ+4ZudzoosTUjtseI78fAQRE41gTMRXIkI8xVogMPEJ04JAMNYahUCgMIG1YlAiJ\nMGkkQTf9OCpGzgBlKfYC9STo9ErU9GewGiGJxSa1jz/E+8kZIe3lBqySQ1EFxByNZVKdkFhzhImJ\nrdTSGtYSEk7KXun9zCMvViKEEG8JV2siAvJ4OBiEROTxSGAPbT1uM5MMPRRoJs0AZU4gTQmfQTxi\nGNQTx8JgN1naqGE2aWJYFPAoENCPS5mIk6ihlxJLmckmejlXtzOTwzs32sMa2sMafEIMGPO4faY/\nkx9ZrxxWbgJnl1uP61zTOWwn9ZH3g0jIGGpxCEmox5infeK+iYWFSviUVKXf2IoUs/0afCughTh5\nPOqJsz3yCCMIVECDFWeXl6NFpdARpLB43cjS5eSoc5Pss31esPdyuT+PMGegXEUipmiOxYlrk7aw\nMu4tS4kiPknsYTsvTuZkGqDBTlDv2fRHh/eezDLHbma7EELsV1Q+RXyaSeESUCakgSQpbDx8klgM\nUiCNgwEU8NFo9uIyg/jQwAlNM0maiPMO2niMrdgoOijgE7KUFnooYmPyTtroIEuGGB8sLQKgy8zR\no/KksJkd1BEfemu236KYvdI7gStjJ/EvxuZh5ddFp3JqOPO4zvWOcBaPmpsPKz8nbCMxxScmJrVF\nnY4zcMg8pJS2qYlGHusu3r4koR5jyYzCDSJ0IgAdYapKD3WkNXspcUbYwOv2PlxC6kmD7qv+rBuF\n1IYJSj7UxxIUwhLbrH4yQQzDtanTFnnl8azVwVXBafQTMj+W4AyrkdYwTRGfZ8zdbLX6yeORwWFx\n0Mgp4Qzqp0hgO81u4Dm3l/JBX7W1OUnmO7LEnxBi7CWxKaHZS2W5OwuIY5HD5nSaiWETYbKNfk5h\nBl3spY44ARERYBIwixRt1LCNHv6FP1BLjBIeGSwCTF6mh5NopAaHjI6xSJ/A/yjMZ0HYxF+mnuFJ\n63U6VJYZZFgRtHK5v4B3uLPf0nZ/PncuS51mnnf2oICzvNlc7J143Oe5Pncqu2qyPG90VcuW61Zu\nyJ02hrWdOHPCGpKGzaDhoomo0TEawyTGtO6bF2+GJNRjLIrncO2QfrNMYEb4REQKaiObZGhS1lD2\nYzhOQL9TJq5NDG2SCG2s0KRuoIas6ZFOQKdVpi5IEZQ0e4ISMWy0VqBtahIGF+cW0RzapEIo4bHB\n6uYVswdvaGxXDo8XrR40mrPDOZNyibxDtTgJLrNn8bqXx9UhTUaCZmdqfBgQQkw9Ppqd9GOhSGAR\nEOISksCmhhhZikPlmiIe7dQwgEsbaQZwGaSMjUsMk21DEwznUcOLDJLAZgCXFhIsiRppDFKcGbXy\nwfJJANyb+i2/szroUpVJ113k+A+rjKsDGqI4C/wjbwAzFi71FnKpt3BU55hPA9/Ovof/dF5nmz3A\nHL+GS725U753ej+FojlK0hzJt6TijUlCPcYKVoS2IYpAaTW0podCqaFJDCrEc0OivjgNjYrIMSiF\nEfu8kBO8FKWEjxn3SNs2bUGGvn05/KKN6RskYhbFWImsCmh2a4hrB9uuTETsNvIMDM08P1iZgE5V\n4PdGF2nlYGuT5ihBPW9tcAhDUAqMNzHt1VImJ8akR1oI8dbrJT+0MkeZFA6pobfFgJB+ylgYdJFn\nCU1kcJhFmk7yvMReMsRoIkWWEqA4gVoiInopsZxWHEz2kGcPlW3IT9QNzI4qQ/NedPawXQ1Uk+n9\nivgMGiUejr2CaSsS2CwOm7jAPaE6FOStkKeMZ2oawuNPhBMkeJ93Ehy+H40QbxuSUI+xMArR+Fim\nohhoIqXRhq5MXLFihCUD5VooLAYHPFQLeFbIHCNOjWEzGHOZSwYv4ZHttejJGhQDDzuyyJWg2Ulw\nUmMCCgn2Ne5jIB4QwyKryngjLO8TEdFl5KknTkLbhCpgl5kjCCOaGfsNUzwPsllFMDRRPBbT1NSA\nOfk7x4UQb0OxoYmICSxcAlw0PiEZYtRis5ci9cTJ45PGIYvHdvppo5YEBv24JLDoJEcEhET0UqRE\nQJmARuI0EkcpzU6nn/9XdWMkTE7xmkAdvlJEEotdZp6+0KNdZYASu60s/UaZ60qnjHn7e8nzy8Q2\nNho9RETMjeq52J/LwqBpzK8lxHQmCfUYM8I4e9wAK4wRGmW8CCwDYgmTGUGSbj9kj3ZZHKXpLsGi\nlE27qiTE8chmgarFSgf0+CV27DNIGw71Juw1SuSDkBrfYv7eRrKNWRrTlZ4ED49eysT14d3BecNj\nRpgmfchs5R6jRGOUxBjDlRPDEPr7Ffqg1ftcV9HfD01Nhy/pJ4QQE8+iiSQuAQGaEIbWgY7IEKeT\nAiUCbAwGKRESsoQWfEJCNPWk8PBYx17aSFPAZyENdJIjOTTk43zm0E+RJ9TOyvwQBZtivczRdSSw\nKB20JrQ5lNg3H/It4gtGJ+dbc5gVHHnTFY+AHrNIQflYGMc0Ef3h5CvsUIPVx9uMfv45VuB/BWfR\n9BZ/kynEdCLrUI8xVbbpH4CBvMboTRDPJrEHksR7Muicg+trMjj0qTIpL8bmfEB/QTMrmeLkmgRz\n0gkGLQ+KNn1OmQGzzGDkUUuM04MmarN17FZlkqYiPChzbSCOoSo7eB0srWO0kiZ9yO5bgYrecB3N\nAh754/z+rlxmWDJdvVYA7sg7oAshxISyUEPL05mYGBhoXHzaqa3sTkhlM5XS0IofrzDAi3STxMZG\nkaVMFwXOYAYDuJQJ6KeMg0UCm35KdDBIPXEaiFev20WBrHJZHDYPq089MdKRTW0Up6AC8sqnrEJC\noMM88gZXnUaW3zm76VaDlAjI4bGdAXpG2PBrv81O77Bker88Hr+Pjby+tBBiZNJDPcby3TGwYjim\nQxGf0IdYZJIv25ixBGGyiFaamnKSYqSJFRJEXhwjqYlqINKapDbpjrkYWqGNCEtb9IchZTPLfFoI\nXHi5r0xLr0lbg0V9jcLEZHZUw5KwgW1qkLzpoYsG5QB8TPpMn8b4gXUzTRTWQZ+ngkhT8EIKRpmO\nxCA5VUmma3WcBWEdzcewFW3wBvsBhEdeH/+IeqMSr/iVrX1XOC0k1fSY5CKEmDwCIvaQw8YiIiSF\njcJgK320k6GTfiKgnVpcQsyh1R1sTLYzgEeEQtNIgs6h3uYYFq8xQBcFTqWJEHiMbdTgcDKN7KCP\nMrCFfXwwWMiJuo5us0BLmKLXKLLDGCCrXZJakwdcoKwM6sMDHSMFCvyX04GPT4c9yBNmB1lc5upa\n3uPP4+Sgkqh3qwL1JIbF+/0G1ZF3+3uj546kh138yNmLaxR5R7md85h73OcQYqqShHqMeT0ONbEM\n2bKiQZlEKiSydGUfrYRD3E/SGCaIhzHKro9RNEirOMWeAEsncDKKCE0+VSJtJyCE0NCkMUn6DoEd\n0BxPEhoRJVezZa/PEmWTziiS2mZB1MwCWvjvbA+73RIRPruMIrtwmRclmJ+sJMaNOlEd7tFT8Nhb\nCHB1yMb4HvA1LRkT2zAYVGVeMnuYx9Fnm9s2lI6wMZZ9yBr424qD/MHL4+uIeU6SU1PDz/+fwXZ+\nam+mZFa6vB/T27jWPZkzY8e36YAQQryRQcqkiA2NeY7IUyKJTQNJcnhYWMzCoYcCCphDhhQO/eSZ\nRx076SeOzX+ykzZSFPDpo4iNQT0xeikylzo8Qvpx6aaLFcxkC/vQRJzutbIinMV3U+v4W3stMRz6\nKFE2fU6hhUVBmjywQNdVNxp5zPkD302uZwu92JgksDhNt5DVLjvUIP/kvMT/Ey2nniQhGtcIsaLD\nE+rWMINhMeJ3lTP18Dk2/8IrPJXuYsAoscBv4J2ldt5Fe/X5fzBf4p8yG/g9lU6QpvhGbvCX8MXC\nBWN1q4SY1CShHmOp/jS1fgtZI8+g5WMqi7jvMMdM4rSFONrETZdx8yY9edBEuM1ZFpIitz3G4nkp\nXg/LUFLM9xP0uB49dglDKUAxvz5GU5RGRwfGVvQUItKZyu6LAHvcArvdSmabwKY5SjFolNheKtFm\npWi308wcmmmecwO68pWu5QGrhEsEAezNhcyurQRgT4V0kCdxlBFCiQQUCof3RsfjelhC/XRuL49n\n91Yfv1AcZJNX4Or6OQBsD/bxkL2puhK1EVa2Hv+h9QonRHU0GdJTLYQYGzVYKBS5yCcIFdo3yJs+\nZSPkXcyljzxZyliYhET0UWIAlwwx5pPkxKiWPqNMGc0C6vHw+W868dEU8FlME3nKJHHIDQ2j66JA\nHTHO0W2sCGfxOgP8s/0yIQxt+hUjwGYzvZyoalkRtHCW30peeeygnz9PPkM3BTLE2E1lyEZOuazQ\ns+giT5mQF5weljALAFuPvGZye1DLcnsWzxudw8pn6xqWuS3Vx99zNvDXyWfopFgpiMFZsZ2ogdO5\ngCX0sIuHMi9Xk+lTqKOGJC/YXTzobOAT3uljecuEmJQkoR5j8YEk+X4XO26STnkoFeHkY8SjGkpN\nvWjHID4QJzdg4xSg0UzQYORxyxZ5O2BwbTPtxTpea9xGFyEJ02ZhU5zapgC/rGj3M9T5CVKBSU4F\nBEDgQ4tO0hJVehS6w+EDlhNYJKIMmoi0G2emeWD4xoB7IPv1zAP/dgNNOYiIW5Uk2sUnwRvvDKUU\nNDRoikUolytLBSYSmuRB81p6vCL/eVAyvd/GYpaTnT5OTTXyrNFFCGgdkC0rdpULhIBJjjnGZv4o\nvYS4ceQtYYUQ4ljZOBhli4KviCIAhWGYNCbidFmDDAz1UjvaoBxEZGyHNmpYzx7+gxL/0ziFl+gk\njcXj7KAem3cwm4iAHCEKzRYGOJUmdpFjLyUKuNwULeX6bGXVjt87Xeyj0gmiqOwhoIBmEqSUzUq/\n0tlgYfDz5Fa6qYyLjg7qWx7AxTXCandzTlXeB+p0DEcf+a3+w6WTmBFLsdHsISBiXlTPBeVZpA4a\n7/2z5OYDyfSQtXTxy3QTF+SX8DNnH89T2djlPNp4lR42MgBATSJJu5fkYka33rUQk50k1GOsN6cI\ne2NkrBT5UgQKrHhIlxGxsFgPzUUG8haxXJx4qCmbAZ42iCkoeZpNu8ssTTdzTiFio7OXKNTEOmBu\nk49hWMwpNFPjxTG1RR0RoRFxQspmZnSg19ZRI/dGKAxiangvc3BQT3cydIb9RkQHfQ9YRxw4+kod\npgmZDGQyIx+7wysccSrkdq/IqalGAl05ouAa7Cjnq8+HwMbyIL+J+ri0ToZ+CCFGL5sFvxCnwVYU\nlYcyNEkcyoMG2Zk+DVaS3qDMbK+e3xV6CSJFrNYlFw+oQ/ESvWwiS8vQ5uT9+DzNbs5hFrWY5HBp\nJskr9JHEYgmNnKqb+VL2wFCINAc6CCrfRSo0mhz+sJWY6qMEJXXwZBWNjYlPiEajqCTdARGzozSN\nJImHb7yjn4XFhe5cLjzCeOfHrK08w+4Rn3vNqvSOD1JJ3s9jNk8dcuyLag9GrcHFg5JQi+ltXFb5\n0FqzZs0arr/+em666SZ27do1HpedGBbkB2327TGxyw5G3iHflUCXYqSUwnRNWnSCwcjDtzyStQEY\nleQzUYpha5sogsaBJs7Kn8ACt5HZXgOnd8/j2uBU6t005lBvg8IgqWxm1wzvOW53UiNWLaYUs2LD\nx8Wl7QO/AnVBgoahiX+mgrhdCcRNOjlma1YfKdkHsIeS/QV+AxbQ5w3vaTeBOi/J7wv9Y1IXIcTI\n3k4xu7ilDmNfkt7dFk5nLU5HHb27LEo5k2RfDfVBkla3nhdKfbi+ptWvpa+jkgC3U8tuKitvbGOA\nVpKcQA1zyNCmM3ysuJgu8vQN9T4XCdhDgXNLbcPq8B5vPqczo/rYRKFQmMDZ5dkYwEydoj6Ks9Q9\nsCpIgYAWDsT7uihOXFucFrVwTWExc6nDHOXbfErHsI/wXEJX3nsu9lpoJckAhy/nZGPwC7WZx8zN\no6qHEJPduPRQP/7443iex0MPPcSGDRu49957+Zu/+ZvxuPS4iymLtAG9fkh/NsKxIBU3SMcDSslB\nZnhpCvkE7Q2avYFLv5PH8GK0xi3ajASOdSA5ThRTtBUrwXLmDDjhBIeEo+gcCCj7UJtQtNc7pOPD\nA2badDg7Vc+GwiDlof7gJAbLk/XEjeHrkjYmbfrLIeWgktTPL9VT48RQKY86LBqjOO1RzZi9Picn\naqkd7GFQH77sxyKnkrSfE5/NxqCHF8M/DHt+WdSKDi0KIwRtIcTYeTvFbHNTM/WZPDMzMQbcAIyI\nFqcG29acWJzDru5+dmc6SRXqaeisp6dLgQkrohpiC7OE2qPoAtpipypj2JrIDFmqIz7oLcWIfVdm\nOgAAIABJREFUYvwquZ1uI0+jjvOe0jyu9g7foOWPsyv465rn2UA3CphNiuu8U7k0mE88MrGG1pS+\nJFjAtVEHPzI2ApXl/Nqo4SzdyowowYpoFpcW5zGDsYnbF4btXKoX8pjacthzC/wGAJYylxu90/mF\nMzxmzyHDbnL4QMEsw5tY7UmIqWJcEup169Zx/vnnA3D66afz8ssvj8dlJ0SNYVJWRbQ2QUEQQWRG\ntMaT7POy+Et3saR7DqVMkcj1KRRtUAG50GN5fZouZ+RxyvNmVW5VS8amJXOk/oID2mMZWp0k3W4J\nUymanDiWOnyRf0MpFjTE6Sv65P0IyzA5MZYg41hvSfCLGTaX187kF4N7qkm1DbyrpoUTkwe2G/+U\neQY9UchL9KO0osVLYXmV12ZO4uhL+Akh3ry3U8ye0VNP/rcR9sIENTOzZHGJwjjzc600JRr5vy/X\ncuqy2fQZRV7Y7hLGAsIoYlMZPm3M5vezXuMVhr410xB5CsMxWe5VVi56f3AS78+edNR6vCNq5x8H\n2vkP5zXyeCzzWplD3YjHfjX7Lk6KNfBCbA8hEcu9mVxVXkCKkb+dHK33Dc6nWFfmCSrfVNjA9dFS\nri8e6FX/fPGdFIwSWctHo7Ex2E0Ol4iF1HO6136EswsxPYxLQp3P58lkDiRBlmURRRGGMf32ldne\nG0E5RjLpk6oLsQwTXbJ49uWI1ecn+XE6RyzqJl1KUZu2CZOapBdnRhSjKWmx6AyTZ1/WeEPJrGPC\n2acqatPH/1pZymR2/OhDNQylaE45NB/1yLFxUqqeuYk0m0qDeFoz10nR7By+I9dV8XkUew3KBw3H\njiu4INkwTjUV4u3p7RSzO163yT45i2BLGjWjSGsiIupO8YdttZz1P116d7h0uCnyL89h3pw8/oxB\nUhlo3B2j8BezeNfnLPbNKvMSPQDEsbm2vIT/5Z/7purzHm/+MR33Ufc0Puqe9qaucbyuZglXDyzh\ne84GuswBFnsz+XB4+IeEd+Rn8t91nazjwMRzG/iQdzInIXFbTG/jklCn02kKhQO7NR1LYG5unpq9\nkE6sh+7eAMs0sM04QaDxQ82MFoOsaWFZJn5cYxs2BopG4jTF4igMgoTJeSc0sPxUzdbXKxNPFsyx\nSMbfeFLJeBnre9J2lADbTIam5gy/6+thMPSpNW0uap7N3GP4kHA0U/X3ayTSFjHW3k4xe3AQevdC\nqlBLtKUWl8rSn74H+/aZzApqCDcmKO6Nwd40icRM6mdDqKGvFi54/my+WDOLZ854jaLlsmhwBm3r\nz6D+GrAmwbT/sbwvqznvDZ+/ibOxMHmC3bzOAEkczmYOq+3zGG3n+VT9/RqJtGV6Gpc/9+XLl/PE\nE09w2WWXsX79ehYtWnTUn+npOfIWq5Oa4zNjlmZgQFEqhygDZjQr0g1FUrU5zEjRWLKxioo4JnGt\nKOBXftSL6Akq7W6tr5yukKv8P9GamzMTck8asLkiPutAQU7TkxtdPSaqLW8FacvkMx3eYN5OMXvm\nTIVlxejr278BlU0Q+KRSMLPJZsuDNu9+N9jKxzQrx5SHNhFsaorIZiPINnHS7qbqOVVDkf7+iR8w\nPBF/U5dwEpcwvPe6B4nZ+0lbJqexiNvjklBfcsklPP3001x//fUA3HvvveNx2Qlx9myTZzcV0QlF\nY5MiiKC7GHHZKQl+depa5ulalkUtvEZASluooRnYdYbDKQn5SkwIMfHeTjH7nHM0Tz8NGzceKLMs\nOOcc8H2or4d3vtPnl7+szF0JhlatS6Xgve/16O620IesErpw4cQn00KI8TUuCbVSiq9+9avjcakJ\nt+p/zCC0Q363RbGru0RdTYyFiyLcq17gXf48LgxamZmsp40cO70ifgTt8ThnxRpJG0efbCiEEG+1\nt1PMvvBCGBws8/jjDps2Gdg2nHwynHEGPPGE5rOfdfnYx2DOnIhnnnHo7lbMmxdxySUey5fDnj0B\nW7aYDAwoams1CxaEzJp11MsKIaYZpfWhn60nh+n0NcJ0aMt0aQdIWyar6dKW6TDk482YDvcOps/v\nIUyftkyXdoC0ZbIai7g9/aZsCyGEEEIIMY4koRZCCCGEEGIUJKEWQgghhBBiFCShFkIIIYQQYhQk\noRZCCCGEEGIUJKEWQgghhBBiFCShFkIIIYQQYhQkoRZCCCGEEGIUJKEWQgghhBBiFCShFkIIIYQQ\nYhQkoRZCCCGEEGIUJKEWQgghhBBiFCShFkIIIYQQYhQkoRZCCCGEEGIUJKEWQgghhBBiFCShFkII\nIYQQYhQkoRZCCCGEEGIUJKEWQgghhBBiFCShFkIIIYQQYhQkoRZCCCGEEGIUJKEWQgghhBBiFCSh\nFkIIIYQQYhQkoRZCCCGEEGIUJKEWQgghhBBiFCShFkIIIYQQYhQkoRZCCCGEEGIUJKEWQgghhBBi\nFEaVUP/617/mjjvuqD7esGED1157LR/96Ee5//77q+X3338/11xzDR/5yEd48cUXR3NJIYQQb5LE\nbCGEeGtYb/YHv/a1r/H000+zePHiatmaNWu4//77aWtr44/+6I/YtGkTURTx/PPP88gjj9DV1cUf\n//Ef8+Mf/3hMKi+EEOLYSMwWQoi3zpvuoV6+fDl333139XE+n8f3fdra2gA477zzePrpp1m3bh0r\nV64EoLW1lSiK6O/vH12thRBCHBeJ2UII8dY5ag/1j3/8Y37wgx8MK7v33nu5/PLLee6556plhUKB\ndDpdfZxKpdi1axfxeJy6urpqeTKZJJ/PU19fPxb1F0IIcRCJ2UIIMf6OmlBfffXVXH311Uc9USqV\nIp/PVx8XCgVqa2uxbZtCoTCsPJPJvMnqCiGEeCMSs4UQYvy96THUh0qn0ziOw65du2hra+Opp57i\nM5/5DKZp8s1vfpNPfvKTdHV1obUe1vtxJM3N0yeAT5e2TJd2gLRlsppObZnsJGYfmbRl8pku7QBp\ny3Q1Zgk1wFe/+lU+//nPE0URK1euZOnSpQCceeaZXHfddWit+cpXvjKWlxRCCPEmScwWQoixobTW\neqIrIYQQQgghxFQlG7sIIYQQQggxCpJQCyGEEEIIMQqSUAshhBBCCDEKklALIYQQQggxCmO6yseb\nccEFFzB37lwAli1bxmc/+1nWr1/P17/+dSzL4txzz+Uzn/kMAPfffz9PPvkklmVx1113VWekTzZa\na+6++242b96M4zh87Wtfo729faKrdVRXXXVVdaOHtrY2Vq1axerVqzEMg4ULF7JmzRoAfvSjH/Hw\nww9j2zarVq3iwgsvnMBaD7dhwwa++c1v8o//+I+8/vrrx1x/13W588476evrI51Oc9999034RhYH\nt+XVV1/llltuqf6tfOQjH+Hyyy+f9G0JgoAvfvGLdHR04Ps+q1atYsGCBVPuvozUjtbW1il5T0ZL\nYvbkMtXjtsTsydWW6RKzj9SWtzRu6wm0c+dOvWrVqsPKP/jBD+pdu3ZprbW++eab9auvvqo3btyo\nP/axj2mtte7s7NQf/vCHx7Oqx+VXv/qVXr16tdZa6/Xr1+tbb711gmt0dK7r6g996EPDylatWqXX\nrl2rtdb6K1/5iv71r3+te3p69BVXXKF939e5XE5fccUV2vO8iajyYf7+7/9eX3HFFfq6667TWh9f\n/R988EH913/911prrR977DF9zz33TFg7tD68LT/60Y/0gw8+OOyYqdCWn/zkJ/rrX/+61lrrwcFB\nfeGFF07J+3JwOwYGBvSFF16oH3nkkSl5T0ZDYvbkMtXjtsTsydeW6RKzD23LeMTtCR3y8fLLL9Pd\n3c1NN93ELbfcwo4dO8jn8/i+T1tbGwDnnXceTz/9NOvWrWPlypUAtLa2EkUR/f39E1n9I1q3bh3n\nn38+AKeffjovv/zyBNfo6DZt2kSxWORTn/oUH//4x9mwYQOvvPIKK1asACq9Ur/73e948cUXOfPM\nM7Esi3Q6zdy5c9m8efME177ihBNO4IEHHqg+3rhx4zHVf9OmTaxbt44LLrigeuwzzzwzIW3Yb6S2\n/Nd//Rc33HADX/rSlygUClOiLZdffjm33XYbAGEYYprmMf9eTaa2HNyOKIqwLIuNGzfyxBNPTLl7\nMhoSsyeXqR63JWZPvrZMl5h9aFvGI26P25CPH//4x/zgBz8YVrZmzRpuueUW3vve97Ju3To+//nP\n88ADD1S/voLK9ri7du0iHo8P260rmUySz+cn/CuekeTz+WFb9VqWRRRFGMbkHbIej8f51Kc+xTXX\nXMOOHTu4+eab0QctUb5/m+JDtyFOJpPkcrmJqPJhLrnkEjo6OqqPj7X++8v3/94duiXzRDi0Laef\nfjrXXnstS5Ys4e/+7u+4//77Wbx48aRvSyKRACp/E7fddhuf/exn+cY3vlF9fqrcl0Pbcfvtt+N5\nHtdcc82UuyfHSmL25I7ZMPXjtsTsydeW6RKzYfzj9rgl1FdffTVXX331sLJyuYxpmkBlZ66enp7D\nKl0oFKitrcW2bQqFwrDyg1+AySSdTg+r61QIzHPnzuWEE06o/ruuro5XXnml+nyhUKCmpoZ0On3Y\n/ampqRn3+h6Lg1/zo9X/4Hs2GX+3Lr744mqdLr74Yu655x7e8Y53TIm2dHV18ZnPfIYbbriB973v\nffz5n/959bmpdF8ObUcul5uy9+RYSMye3DEbpl/clpg9OdoyXWI2jG/cntCI8cADD1R7QDZt2kRr\nayvpdBrHcdi1axdaa5566inOPPNMli1bxlNPPYXWms7OTrTWw3o/JpPly5fz5JNPArB+/XoWLVo0\nwTU6up/+9Kfcd999AHR3d5PP51m5ciXPPfccAL/5zW8488wzOe2001i3bh2e55HL5di2bRsLFy6c\nyKof0ZIlS1i7di1w9PovW7ases+efPLJ6tdbk8WnP/1pXnrpJQCeeeYZTjnllCnRlt7eXj71qU9x\n55138qEPfQiAxYsXT7n7MlI7puo9GQ2J2ZPLdIvbErMnvi3TJWYfqS1v5X2Z0K3Hc7kcd955J4VC\nAcuy+MpXvsK8efPYsGEDX//614miiJUrV3L77bcDlRnjv/nNb9Bac9ddd7F8+fKJqvob0gfNGAe4\n9957mTdv3gTX6o0dPBtWKcWdd95JXV0dX/rSl/B9n/nz53PPPfeglOKRRx7h4YcfRmvNrbfeysUX\nXzzR1a/q6Ojgjjvu4KGHHmLHjh18+ctfPqb6l8tlvvCFL9DT04PjOHzrW9+isbFx0rRl06ZNfPWr\nX8W2bZqbm/mzP/szUqnUpG/L1772NX7xi19w4oknorVGKcWf/umfcs8990yp+zJSO+644w7uu+++\nKXdPRkNi9uQyHeK2xOzJ1ZbpErOP1Ja3Mm5PaEIthBBCCCHEVDf5B4kJIYQQQggxiUlCLYQQQggh\nxChIQi2EEEIIIcQoSEIthBBCCCHEKEhCLYQQQgghxChIQi2EEEIIIcQoSEIthBBCCCHEKEhCLYQQ\nQgghxChIQi2EEEIIIcQoSEIthBBCCCHEKEhCLYQQQgghxChIQi2EEEIIIcQoSEIthBBCCCHEKEhC\nLYQQQgghxChIQi2EEEIIIcQoSEIthBBCCCHEKEhCLYQQQgghxChIQi2EEEIIIcQoSEIthBBCCCHE\nKEhCLYQQQgghxChIQi2EEEIIIcQoSEIthBBCCCHEKEhCLYQQQgghxChIQi2EEEIIIcQoSEIthBBC\nCCHEKEhCLYQQQgghxChIQi2EEEIIIcQoSEIthBBCCCHEKEhCLYQQQgghxChIQi2EEEIIIcQoSEIt\nhBBCCCHEKEhCLYQQQgghxChIQi2EEEIIIcQoSEIthBBCCCHEKEhCLYQQQgghxChIQi2EEEIIIcQo\nSEIthBBCCCHEKFgTXQEx+Z188sksWrQIwzBQSlEqlchkMqxZs4ZTTz21etzmzZv54Ac/yB133MHN\nN99cLX/00Ue5++67+clPfsKCBQuq5atWreKyyy7jyiuv5MYbb6Szs5Oamhq01gRBwFlnncXnP/95\nUqlU9Wd++MMf8tBDDxGGIUoplixZwu23305raysAN954I2vXruXxxx+nra2t+nPPPfccN910E1/4\nwhf4xCc+Max9zz33HDfffDMnnngiWmsAlFJcf/31XHfddcd03bvuuounn36axsZGAMIwpFQqcd11\n1/HpT38agHe/+93EYjHi8TgAWmuUUqxZs4YzzjiDbdu28Y1vfIM9e/agtaa2tpbbb7+dM888k+9+\n97v8/Oc/B2Dnzp00NDSQyWRQSvGd73yH9vb20dxiIcQU8Mgjj/DII49QKBTwfZ/29nZuu+02li5d\nChxbHNrvqquuwvM8/v3f/31Y+f54b5omURShlOIDH/gAn/zkJwHo6Ojgiiuu4Pe///2w4/e/P+yP\naw888ABaa97znvdwzz33cPXVV1ev8f3vf58tW7bwxS9+kRtvvBGlFIVCge7ubk488UQAzj33XO68\n885hdTs4hoZhiNaaG2+8kWuvvbZ6zDPPPMPf/u3f0t3dTSKRoLGxkVtvvZUVK1ZUj9m3bx/f/va3\nefbZZ0kmkxiGwRVXXMHHP/5xDKPSz7h+/Xr+4i/+gsHBQaIoorW1lT/5kz9hwYIF3HPPPTz//PMA\nbN26lfb2dmKxGEopHn74YdasWcOiRYv4xCc+werVq9mwYQOPPvpoNfYDLFu2jMcee4xZs2YB8Pjj\nj/ODH/yAvr4+wjCkoaGBW2+9lQsuuOC4fkfEBNJCHMXJJ5+sBwYGhpV973vf09ddd92wsrvvvlvf\neeed+sILL9RhGFbLf/rTn+rTTjtNv//979eu61bLb7nlFv3oo49qrbW+4YYb9K9+9avqc0EQ6DVr\n1uhbbrmlWnbffffpT37yk3rPnj3VskcffVSff/751bIbbrhBX3TRRfqBBx4YVrfVq1frlStX6u9/\n//uHte/ZZ5/VV1xxxRHbfyzXXb169WHn7uzs1GeccYbetm2b1lrriy66SG/cuPGI13nf+96nH3/8\n8erjtWvX6hUrVujBwcFhxx36Wgkhpr9vfetb+qMf/aju6uqqlj3zzDP6nHPOqZYdSxzSWusNGzbo\nK664Ql955ZX6t7/97bDjD433/f39+tprr9UPPvig1lrr3bt362XLlh3x+IPt3r1bL168WJ911ll6\nx44d1fLvfe97evXq1cOOPVoc1vrwGNrV1aWXLl1ajcOPP/64vvTSS/WGDRuqx6xfv15fdNFF+skn\nn9Raa53NZvWll16qv//971ffp7LZrL7tttv05z73Oa211q7r6rPPPlu/+uqr1fP867/+q77ooot0\nFEXD6vTud7/7sLh+8H1YvXq1Xrp0qf7Sl7407Jhly5bpjo4OrbXWDz30kH7f+96nt27dWn3+1Vdf\n1StXrtQvvfTSG74mYvKQIR/iqLTW1Z5bqPR6dHZ2UldXVy0rFAr87Gc/Y9WqVaTTaX75y18OO8c7\n3/lOmpub+cY3vvGG19nPNE3uuusunn/+ebZv3053dzcPPfQQf/VXf8WMGTOqx1155ZW8973v5bvf\n/W617AMf+AD/9m//Vn1cLpd54YUXOPfcc4+77cdz3UN1dXUBDOthP7iNh+rp6aFYLFYfr1ixgr/8\ny7+s9pgc7I3OI4SYXvr6+viHf/gHvvOd7zBz5sxq+TnnnMNdd901LG4caqQ49MMf/pCLLrqID3zg\nAzz44IP/P3t3HiRHfd////np7rln9tSuTkAghAFzWsLG8DPGxqmvDDbGV8KdUPjAqaRsVErAGCzz\n9UEQJeOU4yMJTorgOBYug+0kTtnGjr9UIBgsY4iByCAhBNJqtdpz7p7u/vz+2NWg1a6unV3tavR6\nUFRpu3tnPu+d2fe899OfY9z1++b7trY2br31Vu67775JH3/f6/eVSCS44YYbuPnmmwmC4MCBHoK9\nn2toaIh0Ok06nQbgnnvu4Y477qj32AOcffbZ3Hbbbaxbtw6A73znO7zxjW/khhtuqOfWXC7HunXr\neOKJJ/jd735HpVKhUChQKBTqj3P55Zdzxx13EIbhYcUPcP311/PLX/6Sn/70pxPiqNVq3Hvvvaxb\nt45ly5bVz5966ql8/vOfJ4qiw/r5yOzRkA85JNdffz3GGAYGBkgkErzjHe/gS1/6Uv38D3/4Q048\n8UROOukkrrjiCu6//34uvfTS+nljDHfffTeXX345F110EW9/+9sP+pyJRIKlS5fy+9//HmMMJ598\nMtlsdsJ1F1xwAX/9139d//r000/nF7/4Bc8++yxnnXUWP/3pT7nkkksYHBzc73Nt27aN97///cBo\nolu0aBFf//rXeeaZZw75ef/xH/+RH/3oRxQKBfL5PCtXruTv/u7v6O7url+zZs2acUM+EokEGzZs\nAGDt2rV87nOf45577uFNb3oT5513Hu95z3smfW4ROXY8/fTTLFu2rD6UY2+XX375uK8PloeGh4f5\n8Y9/zEMPPURLSwvr169n8+bN44q5fZ166qns3r17vzn0+uuvx3VdYDSvHXfccXz1q18FRnP/Jz7x\nCR577DHWr1/PLbfcMqWfwR57cmilUmHbtm187GMfI5fLMTQ0xCuvvDJuaMceb33rW/nzP/9z8vk8\nTz/99KTDKOLxOCtWrGDjxo2cccYZrFmzho985CN0dXVx7rnn8pa3vIXLLrsMzzv8sqmjo4O7776b\nm2++mbPPPntc58zmzZuB0c+tfb3jHe847OeS2aOCWg7JAw88QGtrKy+88AIf/ehHOffcc+no6Kif\n/+53v1sfb/ze976XL3/5y/z2t7/lnHPOqV8zb948vvjFL3Lbbbfxwx/+8JCe1xhDMpmkWq3ut3fD\n932MMeOOXXHFFfzoRz/irLPO4gc/+AG33XYb3/rWt/b7PMcffzwPP/zwpOcO9XlvuOEGbrjhBiqV\nCp/61KdwHGdCcl+/fv2kiRPg0ksv5V3vehcbN27k17/+Nd///vf5xje+wYMPPlgfZycix6a9c02x\nWOSaa66pjz1+97vfzc033wwcPA/tmcuyp4C+4IILuP/++/m///f/HvC59+TiyXrD93w+HMg999zD\n+9//ft72trcdVtz72juH9vX1cf3117N8+fL6HcjJ8rXv+/U49nfNnuv2XPMnf/In/OEf/iFPPfUU\nTz31FPfddx/33Xcf3/ve96bUyXHBBRfwgQ98gDVr1vBP//RP9eN2bMz53q655hpKpRLlcpmzzz77\ngHd2Ze7QkA85JHtuT5122ml8+tOf5jOf+Qw7duwAYOPGjbz44ovcd999XHLJJVx55ZXE43Huv//+\nCY/zjne8g1WrVh1SL0W5XGbz5s2ccsopnH322WzdupX+/v4J1/3qV7/iTW9607hj73nPe/jJT37C\na6+9RrFYHDcZ8nAc7HnPPffcCceTySTr1q3jN7/5zaS3UyezefNm1q9fTzwer/emPPTQQ5xyyin8\n5Cc/mVLbRaQ5nHXWWWzZsoXh4WFgdPjGD37wAx5++GEuv/xyisXihO/ZXx7asGED27dv55JLLuGS\nSy7hueee41//9V/rjz2ZZ599liVLlpBKpSY9fyhD0BYuXMjnPvc5brnllgPeLTyYvZ+rq6uLd77z\nnTz11FO0tbVx4okn8qtf/WrC9zzxxBMsW7aMbDbLm970pkmvKRaL/M///A/nnnsuGzdu5Fvf+hbp\ndJq3v/3trFmzhn//93/HGMPjjz8+5bavXr2aYrHIN7/5zXoRvWzZMqIo4qWXXqpf98///M88/PDD\nfPzjHz/g6yJziwpqOWyXXXYZ5557Ll/84heB0TFpV1xxBf/5n//Jz3/+c37xi1/wjW98g5/97Gfs\n3Llzwvffcsst7Nq164CJqVKpcNddd3HxxRezcOFC5s+fz/XXX8/q1avp7e2tX/f973+fn/70p+NW\nFQHo7u7mlFNO4bbbbuN973vflGM92PN+7GMfm/T7WlpauOWWW/jqV7/Krl27Dvo8XV1dPPjgg/zH\nf/xH/djg4CD9/f377dEWkWNDd3c3119/PZ/85CfrY6IBduzYwW9+85tJ51nAxDz0X//1XwwMDPDz\nn/+8/v+jjz7KvHnz+O53vzvpY/T29rJ+/XpuvPHG+rHDmcOx97WrVq3ioosumrSzZSpKpRKPP/44\nZ599NjD62fKlL32JZ599tn7N008/zbp16+orhlx99dVs2bKFv//7v6+PTx4eHubTn/40b37zmznz\nzDPp7Ozkm9/8Zn0lD4CdO3dSqVQ45ZRTptzeWCzG+vXr+Yd/+Aeq1SowOtRkzZo1rFmzpj78A0ZX\nInnsscfqQ2lk7tOQDzmofW9HAdxxxx28733v48c//jGPPPIIDz300Ljz559/Pueccw4PPPDAhN7h\neDzO+vXrxy11BLBu3Tq+8Y1vYIwhDEMuuOACbr/99vr5m2++me9///v86Z/+Kb7v4/s+Z511Fhs2\nbKhP1Nm7rVdccQWf+cxn+Ju/+ZuG4j+U553Me9/7Xr73ve9x9913s379emDiGGpjDNdccw0f+tCH\nuP/++1m/fj333HMPmUyGWCzGRz7yEd7ylreMe9zJXg8RaW6f+tSn+Ld/+zfWrFlDuVymVquRSCS4\n9NJLueaaa/b7fXvnId/3+aM/+qNxExRd1+XjH/84X/3qV7nxxhsxxtTHRBtjcByHD33oQ1x55ZX1\n79k7B+19Pbye126++WaWLVs2IV/dfvvt/OY3v5lSHjPGjMuh5XKZyy67jCuuuAKAt7/97dx99918\n5Stfobe3F2stCxYsYN26dZx33nkAZLNZNmzYwFe+8hUuvfRSYrHYhKUBly5dyte+9jW+8pWv0NPT\nQyqVIpvN8vnPf56lS5dOaNPhOPHEE/nLv/xLPvvZz9aPffjDH2bBggV88YtfZHBwkDAMcRyHd77z\nnfzxH//xYf+cZHYY28ByAR/4wAfqY4mWLFnCTTfdxK233orjOCxfvpy1a9cC8OCDD7JiFAfCAAAg\nAElEQVRhwwZisRg33XQTF1988bQ0XkREDp1ytojIzJhyD/WeQf57D67/xCc+werVq1m5ciVr167l\nkUceqfdSPvzww1QqFa666iouvPBCYrFY460XEZFDopwtIjJzplxQ/+///i+lUokbb7yRMAy5+eab\nef755+uziS+66CIee+wxHMdhxYoVeJ5HNptl6dKlbNq0adwOeyIiMrOUs0VEZs6UC+pkMsmNN97I\nhz/8YbZu3cpHP/rRcZMPMpkMhUKBYrFILperH0+n0+Tz+cZaLSIih0U5W0Rk5ky5oF66dCknnHBC\n/d9tbW08//zz9fPFYpGWlhay2ey43Yb2HBcRkSNHOVtEZOZMedm8hx56iL/6q78CRpfVKRQKXHjh\nhTz55JMAPProo6xYsYIzzzyTjRs34vs++XyeLVu2sHz58gM+trZVFhGZXsrZIiIzZ8qrfARBwG23\n3cb27dsxxvAXf/EXtLW1cfvtt1Or1Vi2bBlf+MIXMMbwve99jw0bNmCt5ROf+ATvete7Dvr4fX3N\ncYuxqyvXFLE0SxygWOaqZomlqyt38ItmgXL2oWmW9yE0TyzNEgcolrlqOvJ2Q8vmzaRmepGaIZZm\niQMUy1zVLLHM1YJ6pjXDawfN8z6E5omlWeIAxTJXTUfe1k6JIiIiIiINUEEtIiIiItIAFdQiIiIi\nIg1QQS0iIiIi0gAV1CIiIiIiDVBBLSIiIiLSABXUIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0i\nIiIi0gAV1CIiIiIiDVBBLSIiIiLSABXUIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0iIiIi0gAV\n1CIiIiIiDVBBLSIiIiLSABXUIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0iIiIi0gAV1CIiIiIi\nDVBBLSIiIiLSABXUIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0iIiIi0gAV1CIiIiIiDWiooO7v\n7+fiiy/m5ZdfZtu2bVx99dVce+213HnnnfVrHnzwQT74wQ9y5ZVX8stf/rLR9oqIyBQpZ4uIzIwp\nF9RBELB27VqSySQAd911F6tXr+bb3/42URTxyCOPsHv3bh544AE2bNjAfffdx/r166nVatPWeBER\nOTTK2SIiM2fKBfXdd9/NVVddRXd3N9Zann/+eVauXAnARRddxOOPP86zzz7LihUr8DyPbDbL0qVL\n2bRp07Q1XkRkbyOU2eoM8AqDlPFnuzlzinK2iMw1ZXxeYZCtzgAjlGe7OQ2ZUkH90EMP0dnZyYUX\nXoi1FoAoiurnM5kMhUKBYrFILperH0+n0+Tz+QabLCIy0UvuAL/2drLFGWazN8QT3nZ2oXwDytki\nMvfsIs8T3nY2e0NscYb5tbeTl9yB2W7WlHlT+aaHHnoIYwyPPfYYmzZt4pZbbmFwcLB+vlgs0tLS\nQjabpVAoTDh+KLq6cge/6CjRLLE0SxygWOaqqcbSR4ERarSRHne8hzLLmU8cdzqad9RSzj48imXu\naZY4QLEA+IQ8wy5a98nZI9QAQxfZaWjdkTWlgvrb3/52/d/XX389d955J+vWreOpp57ivPPO49FH\nH+X888/nzDPP5N5778X3farVKlu2bGH58uWH9Bx9fc3RK9LVlWuKWJolDlAsc1UjsWxy+xgypUnP\nvRD0sIjWRpp2WObih6Vy9qHT79Tc0yxxgGLZo5c8/V5x0nOb7C4IbSNNO2zTkbenVFBP5pZbbuGO\nO+6gVquxbNkyVq1ahTGG6667jquvvhprLatXryYej0/XU4qIyBQpZ4uITB9j9wyom2P0F9zc0ixx\ngGKZqxqJpZ8iz3i7Jhx3Mbw1OO6IDvmYiz3UR4Leh3NPs8TSLHGAYtnDJ+RX3qvUmFiCnh1000mm\n0eYdlunI29rYRUSOep1kON5OHNZxStB+zI+fFhGZa+K4vCHonHD8eNt6xIvp6TJtQz5ERGbTyWEH\n80gx5JQxkaGbDCk0XEFEZC7qJsdbgwS7KGIdS1uUoo3UbDdrylRQi0jTaCNFW3T0JmQRkWNJijgn\nEIfo4NfOdRryISIiIiLSABXUIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0iIiIi0gAV1CIiIiIi\nDVBBLSIiIiLSABXUIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0iIiIi0gAV1CIiIiIiDVBBLSIi\nIiLSABXUIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0iIiIi0gAV1CIiIiIiDVBBLSIiIiLSABXU\nIiIiIiINUEEtIiIiItIAFdQiIiIiIg1QQS0iIiIi0gAV1CIiIiIiDVBBLSIiIiLSAG+q3xhFEbff\nfjsvv/wyjuNw5513Eo/HufXWW3Ech+XLl7N27VoAHnzwQTZs2EAsFuOmm27i4osvnq72i4jIIVDO\nFhGZOVMuqH/xi19gjOFf/uVfePLJJ/nyl7+MtZbVq1ezcuVK1q5dyyOPPMI555zDAw88wMMPP0yl\nUuGqq67iwgsvJBaLTWccIiJyAMrZIiIzZ8oF9bve9S7e+c53ArBjxw5aW1t5/PHHWblyJQAXXXQR\njz32GI7jsGLFCjzPI5vNsnTpUjZt2sQZZ5wxPRGIiMhBKWeLiMychsZQO47Dpz/9ab7whS/wnve8\nB2tt/Vwmk6FQKFAsFsnlcvXj6XSafD7fyNOKiMgUKGeLiMyMKfdQ73HXXXexZs0aPvShD1GtVuvH\ni8UiLS0tZLNZCoXChOMH09WVO+g1R4tmiaVZ4gDFMlc1UyxzlXL2wSmWuadZ4gDF0qymXFD/4Ac/\noLe3l49//OMkEgkcx+GMM87gySef5M1vfjOPPvoo559/PmeeeSb33nsvvu9TrVbZsmULy5cvP+jj\n9/U1R49IV1euKWJpljhAscxVzRLLXP2AUc4+NM3yPoTmiaVZ4gDFMldNR96eckG9atUqbr31Vq69\n9lqCIOD222/npJNO4vbbb6dWq7Fs2TJWrVqFMYbrrruOq6++uj4BJh6PN9xwERE5dMrZIiIzx9i9\nB9HNIc30V08zxNIscYBimauaJZa52kM905rhtYPmeR9C88TSLHGAYpmrpiNva2MXEREREZEGqKAW\nEREREWmACmoRERERkQaooBYRERERaYAKahERERGRBqigFhERERFpgApqEREREZEGqKAWEREREWmA\nCmoRERERkQaooBYRERERaYAKahERERGRBqigFhERERFpgApqEREREZEGqKAWEREREWmACmoRERER\nkQaooBYRERERaYAKahERERGRBqigFhERERFpgApqEREREZEGqKAWEREREWmACmoRERERkQaooBYR\nERERaYAKahERERGRBqigFhERERFpgApqEREREZEGqKAWEREREWmACmoRERERkQaooBYRERERaYA3\nlW8KgoDbbruN7du3U6vVuOmmmzj55JO59dZbcRyH5cuXs3btWgAefPBBNmzYQCwW46abbuLiiy+e\nzvaLiMghUN4WEZk5Uyqof/SjH9He3s66desYGRnhfe97H6eeeiqrV69m5cqVrF27lkceeYRzzjmH\nBx54gIcffphKpcJVV13FhRdeSCwWm+44RETkAJS3RURmzpQK6ne/+92sWrUKgDAMcV2X559/npUr\nVwJw0UUX8dhjj+E4DitWrMDzPLLZLEuXLmXTpk2cccYZ0xeBiIgclPK2iMjMmdIY6lQqRTqdplAo\n8MlPfpKbb74Za239fCaToVAoUCwWyeVy9ePpdJp8Pt94q0VE5LAob4uIzJwp9VAD9PT08Gd/9mdc\ne+21XHbZZdxzzz31c8VikZaWFrLZLIVCYcLxQ9HVlTv4RUeJZomlWeIAxTJXNVMsc9FM5u1meu0U\ny9zTLHGAYmlWUyqod+/ezY033shnP/tZzj//fABOO+00nnrqKc477zweffRRzj//fM4880zuvfde\nfN+nWq2yZcsWli9ffkjP0dfXHD0iXV25poilWeIAxTJXNUssc/UDZqbzdjO8dtA870NonliaJQ5Q\nLHPVdOTtKRXUf/u3f8vIyAhf//rX+drXvoYxhs985jN84QtfoFarsWzZMlatWoUxhuuuu46rr74a\nay2rV68mHo833GgRETk8ytsiIjPH2L0H0c0hzfRXTzPE0ixxgGKZq5ollrnaQz3TmuG1g+Z5H0Lz\nxNIscYBimaumI29rYxcRERERkQaooBYRERERaYAKahERERGRBqigFhERERFpgApqEREREZEGTHlj\nF2mcxVImwDcBBkPSeiT0koiIzFlVAiomwGJJWI8UsdlukojMAareZonFMmDK1ExUP1Y2AbkoTgat\n+SoiMtfkTZWiqdW/rpiQqg1os6lZbJWIzAUa8jFLygTjiuk9Co5PxJxcGlxE5JhVIxxXTO9RMSEV\ngllokYjMJSqoZ4lvJk/AltFbiiIiMnf4hPs9VzP7PycixwYV1LPEwUzpnIiIHHlGOVtEDkAF9SxJ\n2sknsrjWaGKiiMgck8Tbb9mcsMrZIsc6ZYFZEsclF8UpOH59xPTv7W62xQfJU2ORzXKOv4AT6JjV\ndoqIyGgvdFuUZNhUicxo1u6xw/w+3s8AFVpJclZ1Pmcwf5ZbKiKzQQX1LMoQJxXF8AnZyHZ+mXyl\nXlzvMmVeTA7w4crpKqob1EeBfqdMaCwp65EiMdtNEpGjUAKPLuvi25CX6ednyc2Ux7L2Lsq8mByk\nWglYweJZbunRbZgKfU6JqgmIWReDO9tNEjkoDfmYZQ4GQ8hTiZ4Ja3sUCXk63jMr7WoWO50CPW4R\n30SEWAqmxkv0U8Kf7aaJyFHIMDos7zeJ3noxvbdfJbbPQquaxzAVXnGHKZkaIZaKCdjGMP2UZrtp\nIgekgnoOGKLKsKlOeq7HFI9wa5pHQES/mZiEI6DfUXIWkanbTXnS432mTD8jR7g1zWN/ubnP0Weh\nzG0qqOeAFAmS+5nu0qJNXqbMJyDcz5reZSauAS4icqhy+8nNGVyyGlY2ZeX9LCnrm4hAeVvmMBXU\nc0ALCc6Iuic9d2514RFuTfOI4+13OauElrkSkQacVZ08Z58ZzCehgnrK9rdiSsw6eCpZZA7Tu/MI\nirCUqFE0/oRNAt7ln8jKaH69p7rVJlhVOYnT95kxHhDha+OXQ+Lh0GmTk56bF2WOcGtE5GhjsZTH\ncnaZGnavO14rWMw7KyfQakeL5ySG84NFXBwcP+4xAiIqBETqXT0kXdHk27jP289xkblCq3zMkIiI\nIj6ZsZ4Kn5BBU8GOLbeEgaR1abOjSSJBgsv8U3kbJ1KmShuJcb0cPgHbnTx5MzqZLmk9FkYZckxe\nMMqo+VEW4xgGqBCYiKT1OIl2akzcQlhEjm1FfBJUiIiwwKAZzRsAGCjaGh02Vb/z9TaW8ubqQoao\nkiJBy145OyKix8kzaKpEWGLWoTvK0El6FiI7erSS4rjQ0uuMTiaPWYdF5HD3M3xPZK5QQT0D+imx\n0y0QYhkioOr4pKyLa8Yv/VMxISVbI83rm7y07JOU99jqDFPZa2xZxQS84o5wSugR18u4Xw4OC6Ic\nC8gREeHg0EaSPhXUIjImT4XtTh7fRAzgU3DKtNgYrhmfWwMTkadK6153vhIkmD9Jzu5x8vSbSv3r\nmonY7uZxQ0Mb6m09kHbStEfpes7uIksf+dlulsgBacjHNMtTYbubHzcZbthUeNXNU6HGsKkwaCqU\n8LFYqvuZgLHvY1YmuS7CMuBMPtNcJnL0dheRfQREbHNH8M3rQzJqJuIld4gSVUZMlUFToWB8QqJJ\nc/Fkjzm4n5WblLMPnXK2HE3UtTnNhpzKpMf7TRnPmHpvcs2EVAnptgcfy1s7wNi72j5jsUVE5NAN\nU5l0NaAyITtMgZaxYXU1QsomoMMevHc5qA8amWjf+TMi0hxUUE+zYJ8kGhASElGiSi+WBB7tJIjh\njRbKhzAsLHmAlykdaVk9EZGpCp3xHRYhET4hNWr041OiRhsJksSxWKJDKIjjOHjWeX389V5S+tgV\naUr6zZ5m2ShG3vWJiBgyVYbx+b3Ty0veAPOiNAaXBA6nBV0soRXHcNCiOk2cdptk0Izv/U5Yj3ZN\nShQRmbJMFAe3iMVSMD4j1NjmDPKc10t7lMQZ28/25LCdZbaDmD34NtgODvOjDNvd/D7HDV1aYUik\nKWmA0jRrJ03SegyYMv2mxBAlNnkDJGyMsolIWhfHOmx1h4hZi8fBkzPA4ijHwjBD0saIW4cum2JZ\n1K4xZiIiDciMdVgUTY1dpkiZGi95A4ChZAI865K0HjucAr6NDjlnd5LmhLCF7FjObrVxTgrbSGuz\nLpGmpB7qaebhcHzUym5TJGMSFPHpjjJUTUiApeJEtERxImAnJZbY9kN63D0znbu0lKmIyLQ6Lmpl\ngBJpN05ERDJy8YyhhqXg+MyPMlhgp5fnFL/zkB+3lRStWj9Z5Jig7s0ZkiXB/CiFi0NARMIaPBzC\nsfF3LoY0MWKH2NshIiIzJ2Y8uqM0CRwiLHHrEMclIMISYTB41h23zKmIyB7qoZ4BcRyK1HjR3U2B\nGtvd/OiYujBDq03QYuMYDMdFudluqoiIAMZaXnJ3UyCgx80DDm02QXeUImuTuBiW1lpnu5kiMkc1\n1EP9zDPPcN111wGwbds2rr76aq699lruvPPO+jUPPvggH/zgB7nyyiv55S9/2VBjjxY+AVvcAf7H\n3cVmBsk7Pv1OkV43T8J6ODi8wc6jg+xsN1VEjiHK2fu3zRnhGW8Xz9FH0dTY6QzTb8oY6+DhsMBm\nWYoKahGZ3JR7qO+77z5++MMfksmMzli+6667WL16NStXrmTt2rU88sgjnHPOOTzwwAM8/PDDVCoV\nrrrqKi688EJisea+Zfai088mdxfDTpkBKuSpkcQhbhxCAt5aW8pi2g77cUeXbLK4GqkjIodJOXv/\n+hjhd24vu02ZQSoMmQoJHAacImW3hbPLXZxIO95hfmTuydmj64SYGWq9iMwFU67MTjjhBL72ta/V\nv37uuedYuXIlABdddBGPP/44zz77LCtWrMDzPLLZLEuXLmXTpk2Nt3qOe4Uhtjl5tpsi2ykyQJke\nivSYEn1OiephLuxvsYyYCrucIn1Oid2mRIWD79YlIrKHcvb+9ThFfu8N0OsUeY2Res7eSYldFBn2\nKoddTBeNz66xnN9nShTxZ6j1IjIXTLmg/oM/+ANc9/UJdda+vphyJpOhUChQLBbJ5V4fJ5xOp8nn\nx6/L2YwGnAo1E9FPaWy/rNFeimEqVIh40Rs8rMcbNhVK5vUtYwITMeRUtEuiiBwy5ez92+2UABik\nTIit/5fHxzeWF53Bw+rEKOKTNz7WjP6MI2PJO6ObxIhIc5q2SYmO83ptXiwWaWlpIZvNUigUJhw/\nFF1dR+eEvYiIdtJ0kmYLQ1gs8ZSLAbpIk0h5+IR0kZvwfbspUcDHxaGTNFniBETUgMm2Akjh0c6R\nW5LpaH1NJqNY5qZmimWuU85+XSdp2knVC+lYysHFkCJGFo8Qhxwp2vbZSGuICkOUAWghQQdpACIK\nxCdZb9rF0HWE584cza/L3polDlAszWraCurTTz+dp556ivPOO49HH32U888/nzPPPJN7770X3/ep\nVqts2bKF5cuXH9Lj9fUdvb0i85wk2YRLl5siSFn8coDFkiVGX1TklSjGf9W2sDhsJcvouqdbnEFK\n5vUekJeAxWGOLHEGncqkzxO3LoE9MkM/urpyR/VrsjfFMjc1SyxHyweMcvbrck6ctkSSbjdFKRUS\nlEN8QtpJMRxV2RYN8FTtFZaG7bSNdWJsd0boN+Vxj9NukyyJWtjlFPf7XE50kK1xp1Ez/U41Qxyg\nWOaq6cjb01ZQ33LLLdxxxx3UajWWLVvGqlWrMMZw3XXXcfXVV2OtZfXq1cTjzb9L1LKog5ODefQ4\nJV5jhBI1OsgwSBXHOCyL2njVjNDnllkRLqCAP66Y3mOnW+AN4f43EYhpcqKITJFy9uvmRzlOq7XT\n6+R5gX7y+KPFNCWMA4uDFnaaMgNelbODbpLEJhTTAIOmQgcpPOsQmIm7cMWscrZIszJ274F0c8jR\n/FdPnynyA+85NsZ66c+UCMsBEYYEMd5Y62SJbaPb5khbjxNsK4415M3kE1ZODFvBGIpm/Ng7Yw2d\nNoV3hIrqZvtLVLHMPc0Sy9HSQz3djubXrkrAj7z/5YnYq+zMFhkuV0njUSXk9KCbE6JWFtocOZug\nwyZZZHPsNJP3Qi+wGVqiBENOdcK5tihJ8ghu/9BMv1PNEAcolrlqOvK2/lyeZhUCnnV28ppXxBLh\nYMiSIoZDZ5TCw8PDJRqbYpinesAXwcEhZxPkojiedXCsIWndI1pMi4g0qwjL751dbHb7qYzdKWwj\nRgAsjHK4ZnQd6oDRHuchU2GSzuc6E0GSGG1Rkrh1cawhbt0jXkyLyJGl3+5pVjUBL3kDbHEH8fHJ\nE1Cjyi58MiZBkRpbnEFabJHuMEsXKdqiFMPuxB7qpPXIjE1syRAnY5v/1quIyJFUIeAld4jN3hCD\npkwViyWgSEDcgZYgzg43T78t0x2lWRq200qSXkr1jpE9HAytYxMXk3gkrT5iRY4V+m2fZkOU6HGG\nGKZMD3mKhPjU6KaV7WaEmOvSbkcntRS9QRYEWc5kAQtswC7zeoJOWo/jI+3KJSIyk0ITsYMiBVNl\nJyWGqFDEZyFZeijieA6LwlaywDYnTyqK4RNwfNjCa06+PlbaxXBc2EJcH6sixyT95k8zxzrsMGW2\nMUIBnxQex5Ekg0OSBCNOhQVBmlbitIVJdpkC2xjk+KidNpKUqOFiyO2zPJOIiEw/1xr6vDybGCCP\nTwyXbjzaiZEgRg0LNiSJS3uYIjQhm71+zg4Wc2oUJz+2YUuOOI6G4Ykcs1RQT7MUDtudEZI4GGIk\ncBghYpAiHfgEQOhZlgc1RtzRiYaeMXT4GbLE1bshInIExXDoNyU8DBlcHMDFYxt5WvDoIMHvvDKn\nhCFVd7Q3Om8DFgWtdJGtD/EQkWOb/pyeZn1OgSQuIREWBwfDCDVKRPTjkyVOL3k2en31H37ZBmxy\n+2e13SIix6ISAZGJGN1+y5DGY4AqFWCAGhVGVwH5f+6rhGO70wZEPO/txtdutSIyRgX1NOunShxD\njhQJLDHitBInNZasX6OAh6FKhX63REiNdptk2FQYYeK6piIiMnPKVKgYS2ZsV0QHhxRxWogBhl6K\nVInoIslr7iAVqnSEcUIsuygc9PFF5Nig8QXTrGoDXAAiSkRUKRNg8YAW4ozgs4MSHSTYYYZ52Qtx\nrUe7TZJ2PRZHObpsVssriYgcASEBcUIcXEYoEcdQw2KIWECGPGX6qJDEpctkeNrrJcSyOCoTuBG1\nKKTLZsgQx2BmOxwRmSWq2qZZkRLbKZHHp0KNGAYHhzgeZUaLbQM4eOxkmAwZnoxt57SonTQuJRPQ\nZ0u8IZxXXzIvIKJsagREeDikbOyw1qAepMx2d3SSZJoYC8MsXWRn5gcgInIUCYjYTUAfeSr4RLgE\nWLIkyFMiRgyHEItlkDwWh197PYxEo5MRHQM9tsgpUSfzbBoYXdu6bGr4hDgYktYjcRgft2V8XnWH\nGaBCDI/5YZolaNUnkblMBfU02+IWKFBjmCrzyDBMlRohOylzFvMYokSGOMNUiGEwVCkRckG4mBET\nUCYAAzucEU6OOgmIGHDK9dVOq4TkjU82ipHg4El6iDLPjvWowOh4wd1emTMCSzfH5o5uIiJ7vMIg\nvYxQIqKdFDUswdidxDfQjiFgCRn6qfAaRRbSQj8lUuECQjPaYeEYh+3OMC1hAg+HflMm3Gv3l6Kp\nkYgcMiRI4B6wJ9sn5Gl3JxWzZ3x2wLBXoWJDTg47ZvinISJTpYJ6mvW7BWK4zCPNAEUSeBgMLSQo\n4OMRZ4QKnaTYTYmFJLBUeTU2QpEa290RslGcN0SdpH2XtEmO2zqgYHxK1BhxPbLWw1rLQtuy3x7r\nbe5wvZje2xZ3iO5QBbWIHNt+7wyTwKONGAVqeBg8oJ0ENQIMUKBMFzkGKBABrTgMOSX63CKvuSnS\nYZzjaScZeSyhdVwxXaFG3vgY19Bqa4TW0mXTZEhM2p4dzvBexfTrtplhFpMlhTb4EpmLVFBPs9BE\ndJJgiColIor4JPBoxVAjoESEi8OrjNBOkl0Ms4hWSlQoY3na6cE6MBiUKMdrnBbM4yQ6gdHE3E+B\nXeTpdctkbJwYHi22nzODeSyc5JbgsKlM2s6SCfAJiY+N+J5LAgJ2kKdEQDcpOjQ8RURmiGssWWL4\nWHZTpowlhUucAI8UvRTpJM4rDJLGxSckTYqKG2GAZ5xeIgdeo4C1cBKtnBksAEaHkwyaMr2U2GUK\n4BjSxEhgOC3q5uSwc0J7Cqa237aO7m0wNwvqnYwwRJUcMRbTNtvNETniVFBPs+Nsls0M0I9lCTkC\nIiIiMsSp4OMT0k2c0lih7RHHxWGYCi9ToJU4OeLs9sq8Gg4zYnzm1zJkSLLNDPFbr5d+U2HQqZC0\nLovDFgCe83YTDzw6yYxrT9LGqZnqhHbGMHOwlIZ+Cvy3t4OKCerHltpWVgaLZ7FVItKsOm2cDlIM\n4dNNlnAsZyeJMUyZNB5J4sSokSaFh0OaGCUqvMoICeJ0kmKAKq+4gwxEZXLEWEon/abIr9ztDJkK\nr7l50jZOu41zctjBi2YQz3FYGrWPa8+BhvHF5mDWrhDw395r9JtS/VinHeKtwRJNrpdjipbNm2Y2\nNKRI0U2GPkoMlyvkCXiVYYYJWUh6bEmmJDUCylR5iQF6KNNJghoQAK8wwnYnzzZnmF+7PQQEvODt\nJiBkwCkRt6Mv3XZ3hCFGe6F73IlLOC0JMxOOASy2LbhzMDn/1ts1rpgG2GqGeZmBWWqRiDSzeOSS\nxqGLNCOUGSyXGaLGTgoMUqUFlyQeWRJYoJcCvYzwGiN0kiWGyyAV8hTZ7AzQ58gokycAACAASURB\nVJR4MraDCj6/d/spmYBh1x8rhi2DpkqPyQOw3UzM2d1hemxN7PE6bJI2UjP80zh8L3i7xhXTAP2m\nxO+83llqkcjsUEE9zQKnjMHSRwGfkBIhRWpEjA5liBNjhApVAhLEyJEkTYwqASnihFTpIU8ahwBL\nzYQMmwq/Z4DIGkIsnh2/wW3RrYxNb4wmtGchrSwL2onb0eI5huF428IJ4dybMT5AgcH9DFHZ4Wm9\nVxGZftujPFVr6GGIYGy50wpBPZ8mSTJMFTvWcz2fFHEcKljKFIgxOvnbxcFiqJgatShiqzPIIBUM\nEQEBMft6kTzi+MQwVE1Q3yxmj1ZSnB7MI21f793tthlOD7uPyM/jcL1mRiY9vuePBpFjhe7HTLNC\nLaIat9QIyeECDgaDwZLEo0ZEDWgnxRBFDC5VIuK4DFGmlTQDDNJKFw6GNLDdDrE1lqdkKiy3OYwx\nVAiJWxcHQ8KOTnzM7uflPIE2loQ5KoQkcedkzzRwwD3HokkmVoqINCqoJHFbagRYYsRox8LYPreJ\nsTHTYPFwSGAYoIrFEMODscLaAWJ45IjjABV8fu69zDA+C2yGhI0xZCrErTc26XF0OdWcjU+aj7vI\n0hVmKTLasz0X57q8bvLcHEzSwSPSzFRQT7OKExLD4OFhCUe3tSUiiWEJbVSp0U2GytgY6l4qVIgI\ngJNpYSvDLKAVh4gkLr2mwtbELtpJ0E+FjezgXf5yhrwyFkvKxugMs8QwLB7rdfYJKeMTx61PYHFx\nyczppDz6IZKzcfLGn3CuO5h86IqISCNqVKnYgFaTYpg8FUICQuIYOmknIqSVFCV8HCw+jK1YDUtI\nkadInDgtGBwsWPhZYisZEviEPMkO3hYsIWFcImOJRx4LxlZYOmFsDkxISJkQF8ZNOszM0QmIe+uy\nWV6bpDd6odUqUnJsUUE9zVLWo0oVg0OEJYFLhMFi2cUI57GEzQyMFdZZtvH62LMaNbIkqBLQYhPU\ngpAXYgPkiBHDpZ0kQ1TZGN/Ou/0lDLkOS2yGM+w8jgvbCAl5wn2V573d5KnQRoo3BJ2cEc4nexQk\nZoAzgnn8OtZDba9ej/k2wzLNGheRGRDDJazGqCXLYz3NDt5Yzu6nwLnMp4cCNUI6SVNhuD7CeZAq\nx5OjQEiIS1eQ5Wexl0niksbFxRIS4zHvNa7zT2PEsWTxeGPUzUlhGzmSPO328IK7m12mQIY4y4MO\n3hh2HTWbb50RdDHsVcd1hGSsx6lB1yy2SuTIU0E93TyIcNhNkRDwibBEZPDIkKRAjTI14sQYoMzo\n9BNLmjgRhvkk2EWVVODREyvRQoKIiO0UiI9NVQmB1jDHO4LFLLGtZG2CMj6/dXfyjLebKqOT+vrH\nNnUJsLw1XDxnh3rsbTFttNaSvOqM4DsR7UGCReTw9FYVkRlgA4eY59JLkSqWmrUEJiJORAtpIiw+\nlmBsbHWEQ3ZsKdTRYXku5bEheL2mSAYPF4fXKJDEJSIiR4JiCO8OlrPEttBhRycXbnR7eM7rZTdl\nAPL4POP1UjUB5wdLaJ2DkxD3lSXJJcFStjJM0auRCWIsoVUrfMgxR+/4aTbiBgRYQiJCLCkcPGJ4\nY5MGQ4KxBB3RQoIAQxWf3VQ4nlaKWHIk6HTSpEKXjW6BAGdsqSaXIgHDVOi2LbSRJjY22bDXKdBn\nqvVieo8CNXpNnmedXWRIEMPQEaVoJTmjPweLPeBuYAeSJclpURINwRORmRbFapRslaDqEoSWOIaU\ngYTj4Cdq+FjK1EgRwwGWkKNClT4qdJDEJ8LDZZHNkAg9dnkOI4TEcEjiUSGgSI20idFtMyTGOjaG\nKNNvivVieo8Qy4Ap83xsN51hBg9ojZJ0kp7xn8VU87aHx8l0ss/Hj8gxRQX1NAsjS+SGpHCpjKWn\n0f8hNzYMxOIQEVLD4BNQxrKYFjpIMkSFLlKUrM9uz2eYGsPUcIA8LvPIcYLN4rkOQ1GZkuOTwCVv\nfKqTbAgQEfGqkydHAtc6VIC863NcGNE+Awm6RkjB+FRNiGF0CEzWJnCmWFyLiMykilujVLS0kqLf\nrWCNxViXWuTQGqUhBR4uAQH9BLSS4FWGmU+K42llF+XR1akjj7xXZYAavZRwMcRxaSNJGwkWmgyD\nlCkYn5gxVKOA2iRTsS0RO9wiicgjY0aH6hXcGhUbsDhqmfb4IywFU6VsAiyQsC5ZG5+Ta16LzGVa\nNm+aGd+wiwouLiUCCtQoUCPCYRFtFMeWxcuRoJ8qb6CDM5hHBoNPxBuj+SwLOtjpldjKEAlidJHE\nYskTUKLKKX4nQ1SpElIwNfpNhT5KJOzEl7Po1IjhkrLjx1D3OsVpjz3CMmAqVMe2zbWM7sg4tJ+l\n8EREZpsbxSmXY1QLMfyROIVhj0LRwbcR86sZiCJeZQQXj4iQeSRZQRfH08IgFU6ynbwlWMQOL89W\ntwAYFpPBxVAjokiNs4MuaiaiakJKpsaw8el3ywRjK4TszSfCRJZ0ND5n95sylRnoAh4yFUpjxTRA\n1YQMmIpWVhI5TCqop5ljDf1hhYEgIBUmSEYusbEVNmJYyoTkSDBMmSQum9jNCCVOpp0317pZFrYz\n7Pq4wAhVBqhQJqSLDG+kiw7SvBYboSWKj7s1104SxzgThnIk8JhPmlYS4477JsI/QHIOx/47HGVT\nw5qJSdg34djSUyIic0sUxRgZdBgYdHEG0qSHcngDWeI9rSSGc5QJSeNRpIqHw3P01pc6XWHnc244\nn7IbkCXGboqMUKWfMi0kWUYbi8nQ45bwInfcnboMCRxjWRCNn3xoHOgkTadN7NtUKux/W/KQw8+z\nPiG+maSX3FjKB9gCXUQm0pCPaVauuhAliCV8Sk4ABhKhQ96GRPHRCYUhETky5KmQJIHBw0YugXEg\nssQsFM3oWtYOYDDspkwJnxNpxzchz3q7WGRzLAxztJLAxWVRlGNZ1MqLZpgRp0LCGoLQjhXnFVr2\nKrZdDN5ef09FYxNuKgS85o7Qb0bH9XXZNMvC8Vvj7s+B1h0Nxj6ADkeJEi8wSALDGSw6rO8VETkU\ng/2Gct4l5cQZCUfXZIoZh8CPU0nGKHdDPOXSQpKAGilS+ERkwyRlJ8K1hpqNMEDR1HAxuMTGdk/0\nOZk2alhe9PqoRCHdYZrusRU8lkStJK1HLkrR5xZIYrDh6O4FJUL2Lan33UFxdAOaGr1ugV5TpIal\n1SZZGrbQycGXGj1Yzp6KTWPbmp1GO+kjMO5bZK5QQT3N/KEkmXSaQj5OexgDJyRIBYSxACf0SKZi\nzB/brtbDxRCSxCHvVOmKMsTwcHAYxidJnCo1DJYMMZJ4BETMCzMExjJiq4y4Vd4YziNDgjRx3hh2\ncwaLeNrrYbMZpGZCXnZGeJkRTg07WWJH16puswn27Lc4SImdThHf1HjO7cdg6IxSeDjsMiXyrs/i\nQ1i2zrMO+xsq7e1zM2QnI7zg7CYwlmVhKycxb9z5X/EqP0j/L7vGtrQ9zrbwgdIpnMXiw31JRET2\nKxyMY6oeXjlJhzVgIHQsYRQScz0oJFiYygGWGnZssmGMIbfMgqgNz7okcHjeDDCPFDso0oJLlhhx\nPCqEvCHK4gNlfLa6NdzQoXNsYb0TojZOo5uXwwE2xnYSEtHjFNjuFVlIljcEHXh4o4X3WKdICZ/X\nnDwVE/CyO8gIPp1RiiQew6bC77wqK4IYB1u4bt+8PO7cPkMIR6jyPLtGPw/CLKczf9z5zezmO+nn\n2GqGAJhn0/yf0om8k5MP9yUROSqpoJ5m8R052mLzKZYrFCOL41piyYjjOlxMi0ssZSkSERIyQIUA\nQwXLcjoJTUCnjfMqHj4hp9JGDwV2U8VltFY9PmqhO8qx1y627HbLZMIEHXY02fZRYLMZBCCFS2eU\nZsSpsMntpzvIstBmWBiNLrpfxOdVd3RR/n6qlMZuKUYOLIxGezjKJmAnhbE9wPYvRYyCnTjsI27H\n7/S1ke38OPlSvf/j8dhrnB8s4v8EywHYzm4eyDxDeez2pYOlx4zwnfTvOLmkXg8RmUZDLotqnbxa\nqZAnBAwJ6zAvCUnrkIhcStTwcCgDuxhhIQFd5PAAz0KHTRFh6CZNG0m2kSciwgPmk+H4sI2SU8OO\n9Tj0uAU6wzRpGyNNnICA38V6AXBx6IzSDDsVeijQSYqTbQdLxiYkRkRsdYYJTESNgL6xvQx6nQLH\nRS04OIRYetw8J9J5wNDjuMStO2HYh7GGFLH6168wwPcTm15fazoGJ9sePlQ9jcRYP/rexbQHDJkS\nGzLP0V1M6w6jHBNUUE+z7NYO/EGHWPcwQaqK61hSvSkyL7VR+/96CK1Di3EZZPTW4Lyx8c0+AQMm\nJLSWBUGOrfFBeiiTIMZpZEiHMXwHTgo6yBIjY2Pkx4rfKgHtNsn8sbF4ve74CYcZYqQjlwBIhx6L\naa2fG3Be31hm76RaxqdKsr7EU4ka8Qk3IMdzMHTaFAWqe63yESO714TIEao8ktw84WbiE94OlgZt\nvIEunnB2Uh4b7jJiAnYwMrpslYnxHecFPhKtOMRXQ0TkwNpjMWrbkriOQzxZITQRCRsnO5zGHDdC\nEKuRwWOYgBoBC8ixkAwxHPpMkRoddIdJFrlZesiTwON4WuggTmRhSZglicu8IE3F8QmwVKiRsg7H\njxXJvRSo7jUJMIVHKsoSEpE2HieFHfVzQ1QIzGgGrew1ZjrEUqRGbixPlw8w3npc/DZJAX90Dgx7\nVvkYvzLTLxJbJ+xg+5IZ5r+dHVwcnchGtteL6RDLK2aEISq4wIPx51nid9A2w0u1isw2FdTTbGB3\ngurvukjPzxJLVQiNwQ0cdoUuJ56eo7pomJF4kSQuIYmxVanBYig6ZX4T7+XsYAFnBwvY5A6MJjhc\nTrLtVG3IYrK0R2k8XDqJ8Ik4zuY4Lmo9YLsMDjGYMI452CuJp21s3LmQ6P9n784Do6jv/48/Z69c\nm4MjHJYjXIoKioAKRi7PWBCMohxCtVI51FoFUbQoKAhCq9AC/WnrUUtrBRTQ1npbtYICUo+iwLcW\nEeQIIVzZXHvM5/dHyMqShIRsQsLyeviH7Mzs7ue9s3nPez/zmc/A4e1LTzVWfdW3CwdpJqHSTTez\nl+JKVv6fJ48z/OkUOUoPBPkE+R954fVFBFgb9z3titK4lA5VtkVEpCp7D9kcCNok+JIx+SlYTnDE\nB9mX5KdFfhynueMpIkQBhjjchy/+s3HipMQK8V/3PtoFG3OuvznGbePHEIeDNqHGFDuCnG43pbGd\nSBwujB1PCTZe46aT/cOADGclZ/+ch+eyPlLQ8UN3RPxR+Txk2eHcW93blltYJJs4kiu4CBJKh+dt\nq+DW4gDfuA/Qv6T0TCeU9p5vsHJ/aA/wjecAr1mbubHk3Gq1R+RkdUIKamMM06dPZ/PmzXg8Hh59\n9FFat259It76hAv4HPh9Tgp3x5HihZAjiN8Twmrsp9GBRuxzb+c0UvmMHPyHb2VbNvDYdfgOWzbQ\n0k4h2Y4jz1lECENnfzqdrcbssn7oUXbgIAknbUKRxXTrUCqbHHkczY1FKyK3TcJN/uFkmIybFDwc\nwo8DK5ysU008LfCSS8VJtba47dL3axNMwxG3jb2Wr9w2jUngi/gcLi1WQS1SV06lnI0vAXxB9h6y\nSXI4sEIWxQedJFlxJAUcxPnjKMaPTTFFBEglntDhqtVLHEUEDt8xMY4egdPIdRZTYgVpYbwMKGzN\nNtcPZwwtHMTjoNNRF3o3JZFE46HwqF5ggJbByFlAEmxXWT8Hbly0xMsuSnOlx7gO/9/JaaHauXW5\nu+pN6EAyTmBvBVOkpoUS+I9jD7kcIL0a1+KInKxOyLR577zzDn6/nxdffJFJkyYxe/bsE/G29SIh\nEIcn4MEOONm1y8Gh3fH48+JJzE+kJC2PlsTjME5akUwK8RQRoJASGpPAj4JJNA790KvgJY62oTTa\nhxqRQSpnhprTIdiIROPCjUVTk8A5weblbk+bSjznBVpE7Fw3Ft0DLcv1djS2E/EcvvjEiZOOocac\nhpfmJokE46GNSaFrqFmtfT5n0JSkSmb7aBcsTbZ9acc5oXQKjprW71zSsbE0r7VIHTulcnZBPM59\niTh8HvbmusjLcxL0OynKNzQJuokr9NAID01IIo14/AQpIEgCLloGk2hkEsN5NQEPbUIpdAo2po2d\nSkeacU4wnVQTjxuLVBNHl2BTWh7VseHCxfnBFsSbyPx8pt203AXhycRH9CafFvKSEUqlqUkkFQ/N\nTCLdQi1IqGYPdVWakEIbU/ENZToGStv2I5pyZXGHw2c1f9AGL0mHO4n2U/7HgkgsOSE91OvXr6dP\nnz4AnHvuuWzYsOFEvG29SPaECNgW/hIHwRKLoA1Oh5NWjZzkeAKEsDkzlELQEcRyOPFROuf0foq5\nMpjBfkfFSaetXZq42pJG21DVv/I70JjmgUR2U4ADi9NIKVdMQ+kQjfZ2I/IcheQTxIWbDv5G5Yr0\n2pJCHFcUd+D1+P9GDP3oE2jFGUdckz6muBv744v4ylV6cWWzUCJe3ISAlia5TtomIqVOpZyd6nMQ\nVxRHyaEgfssPBkzIomNqCtb2Ijb3yKd/SRP87jyMwz58Rs/BQUroaDcizrgosspPMZcRKC2am+Kl\naTV6i9PxkhVsz07y8WOTTlK5+wqUaWunkEchBx1+wE0rO4UmocTwzE217ZKStqyI+z8OWiXhZR1N\nKr3tHy42vC7UhT3FRfwr/jsCGBqFPDQmHhsHXlw0o/bv8ijSkJyQgtrn85Gc/EMR5HK5sG0bhyP2\n7iuzda8TY2ySmwZI9EOc0wK34bNtQW4+2Ix3rO/wOCCNeFLsREImgAc3zewkWgcbcTpu1np2Rrzm\nBf7TaFyDmS28xNOxGheCeHDR0k6h5XG/Q82cQ0taFiexkX2EHDbt7TTa0jhim0QSGVx8FoUJG8J9\nHiFKT6n0LW5zgloqcmo6lXL2Dr+LPd9aJKY6iPNYuN3gCjrZuMrDeVd5OZT2CV+7DXHGQxs7FWMM\nNobT7GQakUTPQAs+8GyN6CBob9IiOgiqy4WLNlQ9778DB+l4Sa/ZVNHHrS2NmVByHl+yF5+jhNPs\n5ArjuzbYibxgEYcOF95lzbuopJUuSpSYd0IKaq/XS0HBD+PIYjUxA7icsGuXRVwauONDFAWgOB+a\nNHbg3JeAA4siCzymdDq4ZBJpbMfjwMF+TxEX+lvTyp/CNg4C0IbUGhXTDV06KaSTwrHuHdCNlriL\nHKyJ38EBikkjnguLf8TZR81/KiK161TK2YWFNvv2OnEccJAQF4cfKCwCdxwYbJI8FocIkG48BAEv\nHhrZibhxcIhiWtOIa/1evmUffkeI5nYSp3Hsi8RPRnHEcT4/OmbObk4aNxWfw2rPdnY48knBw9nF\nzeiNOkEk9p2Qgrp79+7885//JCsri88//5zTTz+9yuekp5+cp/VtDtCiOezZ76SkyAKXoXGqRaIr\nRGJaAG9CHM1IwEsccbhoRHz4Cu/TSCOdZNJJ5owGWDTWxz7pTzL9j7wxQC014WT9flVEsUhtO5Vy\ndmrCQdLTDQfzwVd6g1hSksETHyIx3SI+wU1j4mlCIhYOmpIYnpO/JamkH05KR59layhO9H5JJ5nu\nHHEBq3J2OYolNp2Qgvryyy9n1apVDB8+HKBaF7jk5tbtjBJ1pfc5IT5c7yQpweCJt7Atw/59cNkV\ncbzVZy3NC1M4K9iY761CPMYKzxWaZNy08ifW+UwaNZWennzS7pOjKZaGKVZiiYUDzKmUs89pl8Pq\n/zTjYD40aWLAggMFhnMzXDS+8XUcRQ56FbViq/sQcTjwm0D48rqOJakNNmdDbP1NxUIcoFgaqtrI\n2yekoLYsi4cffvhEvFW9u+26Jpi8PN7d5GDj9xYtUi2u6uUgt/lLdA925Ep/Bi1MKhvdOXxrHSCA\nTWuTxgX+ljSmdqY5EhGJxqmUs4dfczoH9mznX9tS+PdmQ0KcofdFTnr2zGG7SWd04WlcaNrytX8P\n37gOUGgV08Qk0d3fgvZV3IlQRE4durFLHbh9bBNuB7Zu+z8yerTBlxvEYjhJxUkYDBYWbf1p+A/3\nc3hqaXojERE5fuPHtmY88N9t/0fA5+PMs86jEBdJRaeHc3Yz047+fvDjV84WkXJUUNehjDanHx5f\n98MpEeuI27kqKYuINByd2pwePo2dRBIQmbNBeVtEKhabl22LiIiIiJwgKqhFRERERKKgglpERERE\nJAoqqEVEREREoqCCWkREREQkCiqoRURERESioIJaRERERCQKKqhFRERERKKgglpEREREJAoqqEVE\nREREoqCCWkREREQkCiqoRURERESioIJaRERERCQKKqhFRERERKKgglpEREREJAoqqEVEREREoqCC\nWkREREQkCiqoRURERESioIJaRERERCQKKqhFRERERKKgglpEREREJAoqqEVEREREoqCCWkREREQk\nCiqoRURERESioIJaRERERCQKKqhFRERERKIQVUH99ttvM2nSpPDjL774ghtuuIGRI0eycOHC8PKF\nCxdy/fXXM2LECL788sto3lJERGpIOVtEpG64avrERx99lFWrVnHmmWeGl02bNo2FCxfSqlUrxo4d\ny6ZNm7Btm08//ZRly5axa9cufv7zn/PSSy/VSuNFRKR6lLNFROpOjXuou3fvzvTp08OPfT4fgUCA\nVq1aAXDxxRezatUq1q9fT2ZmJgAtW7bEtm32798fXatFROS4KGeLiNSdKnuoX3rpJZ5//vmIZbNn\nz+aqq65i7dq14WUFBQV4vd7w46SkJLZv3058fDxpaWnh5YmJifh8Pho1alQb7RcRkSMoZ4uInHhV\nFtRDhw5l6NChVb5QUlISPp8v/LigoIDU1FTcbjcFBQURy5OTk2vYXBERORblbBGRE6/GY6iP5vV6\n8Xg8bN++nVatWvHRRx9xxx134HQ6+fWvf80tt9zCrl27MMZE9H5UJj09dhJ4rMQSK3GAYmmoYimW\nhk45u3KKpeGJlThAscSqWiuoAR5++GHuuecebNsmMzOTc845B4AePXowbNgwjDE89NBDtfmWIiJS\nQ8rZIiK1wzLGmPpuhIiIiIjIyUo3dhERERERiYIKahERERGRKKigFhERERGJggpqEREREZEo1Oos\nHzXRt29fMjIyADjvvPO4++67+fzzz5k1axYul4uLLrqIO+64A4CFCxfywQcf4HK5uP/++8NXpDc0\nxhimT5/O5s2b8Xg8PProo7Ru3bq+m1Wla6+9Nnyjh1atWjF+/HimTJmCw+GgU6dOTJs2DYClS5ey\nZMkS3G4348ePp3///vXY6khffPEFv/71r1m8eDHbtm2rdvtLSkqYPHkyeXl5eL1eHnvssXq/kcWR\nsWzcuJFx48aF/1ZGjBjBVVdd1eBjCQaDPPDAA+zYsYNAIMD48ePp2LHjSbdfKoqjZcuWJ+U+iZZy\ndsNysudt5eyGFUus5OzKYqnTvG3q0XfffWfGjx9fbvmQIUPM9u3bjTHG3HrrrWbjxo3mq6++Mjfd\ndJMxxpidO3ea66677kQ29bi89dZbZsqUKcYYYz7//HMzYcKEem5R1UpKSkx2dnbEsvHjx5t169YZ\nY4x56KGHzNtvv21yc3PNoEGDTCAQMPn5+WbQoEHG7/fXR5PL+cMf/mAGDRpkhg0bZow5vvY/99xz\nZsGCBcYYY1577TUzc+bMeovDmPKxLF261Dz33HMR25wMsbz88stm1qxZxhhjDh48aPr3739S7pcj\n4zhw4IDp37+/WbZs2Um5T6KhnN2wnOx5Wzm74cUSKzn76FhORN6u1yEfGzZsICcnh5/85CeMGzeO\nrVu34vP5CAQCtGrVCoCLL76YVatWsX79ejIzMwFo2bIltm2zf//++mx+pdavX0+fPn0AOPfcc9mw\nYUM9t6hqmzZtorCwkDFjxnDzzTfzxRdf8PXXX9OzZ0+gtFdq9erVfPnll/To0QOXy4XX6yUjI4PN\nmzfXc+tLtW3blkWLFoUff/XVV9Vq/6ZNm1i/fj19+/YNb/vxxx/XSwxlKorl/fffZ9SoUUydOpWC\ngoKTIparrrqKX/ziFwCEQiGcTme1v1cNKZYj47BtG5fLxVdffcU///nPk26fREM5u2E52fO2cnbD\niyVWcvbRsZyIvH3Chny89NJLPP/88xHLpk2bxrhx47jyyitZv34999xzD4sWLQqfvoLS2+Nu376d\n+Pj4iLt1JSYm4vP56v0UT0V8Pl/ErXpdLhe2beNwNNwh6/Hx8YwZM4brr7+erVu3cuutt2KOmKK8\n7DbFR9+GODExkfz8/PpocjmXX345O3bsCD+ubvvLlpd9746+JXN9ODqWc889lxtuuIGzzjqLp556\nioULF3LmmWc2+FgSEhKA0r+JX/ziF9x9993MmTMnvP5k2S9Hx3HXXXfh9/u5/vrrT7p9Ul3K2Q07\nZ8PJn7eVsxteLLGSs+HE5+0TVlAPHTqUoUOHRiwrLi7G6XQCpXfmys3NLdfogoICUlNTcbvdFBQU\nRCw/8gNoSLxeb0RbT4bEnJGRQdu2bcP/TktL4+uvvw6vLygoICUlBa/XW27/pKSknPD2VseRn3lV\n7T9ynzXE79Zll10WbtNll13GzJkzueCCC06KWHbt2sUdd9zBqFGjGDhwIL/61a/C606m/XJ0HPn5\n+SftPqkO5eyGnbMh9vK2cnbDiCVWcjac2Lxdrxlj0aJF4R6QTZs20bJlS7xeLx6Ph+3bt2OM4aOP\nPqJHjx6cd955fPTRRxhj2LlzJ8aYiN6PhqR79+588MEHAHz++eecfvrp9dyiqi1fvpzHHnsMgJyc\nHHw+H5mZmaxduxaADz/8kB49etC1a1fWr1+P3+8nPz+fLVu20KlTp/pseqXOOuss1q1bB1Td/vPO\nOy+8zz744IPw6a2G4mc/+xn/+c9/APj44485++yzT4pY9u7dy5gxY5g881CnTAAAIABJREFUeTLZ\n2dkAnHnmmSfdfqkojpN1n0RDObthibW8rZxd/7HESs6uLJa63C/1euvx/Px8Jk+eTEFBAS6Xi4ce\neoh27drxxRdfMGvWLGzbJjMzk7vuugsovWL8ww8/xBjD/fffT/fu3eur6cdkjrhiHGD27Nm0a9eu\nnlt1bEdeDWtZFpMnTyYtLY2pU6cSCATo0KEDM2fOxLIsli1bxpIlSzDGMGHCBC677LL6bn7Yjh07\nmDRpEi+++CJbt27lwQcfrFb7i4uLue+++8jNzcXj8fD444/TpEmTBhPLpk2bePjhh3G73aSnp/PI\nI4+QlJTU4GN59NFHef3112nfvj3GGCzL4pe//CUzZ848qfZLRXFMmjSJxx577KTbJ9FQzm5YYiFv\nK2c3rFhiJWdXFktd5u16LahFRERERE52DX+QmIiIiIhIA6aCWkREREQkCiqoRURERESioIJaRERE\nRCQKKqhFRERERKKgglpEREREJAoqqEVEREREoqCCWkREREQkCiqoRURERESioIJaRERERCQKKqhF\nRERERKKgglpEREREJAoqqEVEREREoqCCWkREREQkCiqoRURERESioIJaRERERCQKKqhFRERERKKg\nglpEREREJAoqqEVEREREoqCCWkREREQkCiqoRURERESioIJaRERERCQKKqhFRERERKKgglpERERE\nJAoqqEVEREREoqCCWkREREQkCiqoRURERESioIJaRERERCQKKqhFRERERKKgglpEREREJAoqqEVE\nREREoqCCWkREREQkCiqoRURERESioIJaRERERCQKKqhFRERERKKgglpEREREJAoqqEVEREREouCq\n7wbUt5/85CdcfPHFjB07NmL5s88+y6effsrvfvc7AP7617/y4osvEgqFsCyLs846i7vuuouWLVvy\n8ccfM2fOHCzLIjc3l1AoRIsWLQAYO3YsTZo0YcaMGfztb39j7dq13HTTTTz77LP07t07/H4zZsyg\nUaNG3HHHHQDs3LmTBQsW8O9//xuPx0MgECArK4s77rgDl6vi3fbPf/6TZ599loKCAgKBAJ06deLe\ne++lRYsWrF27NtyGyixevJhHH32UpUuXcs4554SXB4NB5s2bx7/+9S8sywLgxz/+MePGjavW+hUr\nVvDmm2/y5JNPsnbtWm699Vbat2+PMQYAy7IYPnw4w4YN45JLLmHBggWcffbZjB49mp07d5KSkgKA\nMQbLspgwYQJXXHFFufXBYJBAIMD48eO55pprKoxx48aNLF68mFmzZjF69GhGjx7NFVdcUelncjyy\ns7NZvHgxXq+3wvU+n4/bb7+d559/vlrbR+Ppp5/m73//OwChUIiLL76YSZMmsXv3brKysnjvvfdo\n1qxZxHMGDx7MnXfeyaZNm1i4cCGzZs3i2muvDa8vKirioosu4sILL+TJJ5+Mqn2bN29m0aJFbN68\nGbfbDcDQoUO5+eabgdLvzKOPPkrr1q2xbZtgMEjr1q2ZOXMmTZs2BSA/P5/f/OY3rF27FqfTiWVZ\njBw5kqFDhwIwZ84cBgwYwAUXXBBVW0WO1+eff84TTzzBwYMHsW2bli1bcu+999KxY0cAOnfuzCef\nfEJaWlr4OW+++SZ//vOfWbx4ccT337IsbNsmMTGRe++9l27durFw4UL+8pe/0KJFCyzLIhgM0rRp\nUx566CEyMjIA2L59O/PmzWPDhg0kJibi8XgYNmwY1113HQA7duzg8ssv54wzzgjn4sLCQlq0aMGs\nWbNITU1l9OjRWJZFQUEBOTk5tG/fHoCLLrqIyZMnh9u+cOFCPvvsM5555pmIz2HDhg2MHTuWDz74\ngFtuueWY+RyOfQy788472b59O8YYNm3axOmnn47D4SA1NTWcU19//XWee+45fD4fLpeLtm3b8vOf\n/5zTTz893M6yzw3Atm0KCgq4/PLLue+++8rtxwULFrBo0aJq58L33nuP2267jSeeeIIf//jHEa+V\nk5PD/Pnz2bBhA06nk7i4OMaOHcull14KUOHxaMeOHQwaNIjPPvus3Pemc+fOTJgwgV/84hcVfoeO\nPtZaloUxhsaNG/Pss8+Wi1VqgTnFvfHGG+bKK68stzwrK8usXr3aGGPMY489Zm655Raze/fu8PoV\nK1aYPn36RCwzxpgFCxaYGTNmRCxbs2aNGTRoUPjfXbp0MX369DH79+8Pb/PII4+YBQsWGGOM2b17\nt8nMzDTLli0Lry8sLDQ///nPzcyZMyuM49VXXzUDBw4027ZtCy976qmnzBVXXGH8fn9EGyozcOBA\nM3nyZHP33XdHLH/66afNnXfeaWzbNsYYk5+fb7Kzs83SpUurtX758uVm3Lhx5T6LigwYMMBs2LDB\nGGPMqFGjzFtvvVXpthWt/89//mO6dOliCgoKym1v27bJzs42e/bsCT//zTffrPwDqWXbt2835513\nXp2/z+uvv26GDRtmSkpKjDHGlJSUmHHjxpknnnjCGGPMuHHjzJNPPhnxnH//+99mwIABxrZts2DB\nAjNgwABz0003RWyzYsUKk5mZGd6XNbVx40bTu3dv895774WX7d+/3wwfPtw899xzxpjI70yZ6dOn\nmwcffDAc0+DBg80zzzxjQqGQMcaYHTt2mMsvv9y89NJLxpjS7+GgQYPCn4PIiVBSUmIuvPBCs3Hj\nxvCyV155Jfz3ZYwxnTt3jsj/xpQei0aPHm2Mqfj7/95775nMzEwTCoUqPM4sXrzYXHvttcaY0lzT\nr18/s3LlyvD6nJwcM2rUKPP4448bY4z5/vvvK8xHM2bMMBMnToxYVlXe3rNnjznnnHPKHQ8ffPBB\nM2/ePGNM1fm8qmPYkTp37mwOHDhQLv7s7Gzzv//9L7zs/fffN5mZmeF9UdHndvDgQdOvXz/z0Ucf\nlWvT8ebCW2+91UyePNkMGzYsYnleXp4ZMGCAefXVV8PLyvJgWZ1R0fHo6H105PfmjDPOMN26dTPr\n1q0Lrz/yO1SdY77UrlN+yMdll11GUVER69evDy9bu3YtAL1792b37t28+OKL/OY3v6F58+bhba65\n5hqysrL4/e9/f9zvmZGRQd++fZkyZUqF6//whz+QlZUV7mkDSEhIiOh9ONr8+fP55S9/SevWrcPL\nxo4dy5133onf76+yTWvWrOHgwYNMnjyZd999l5ycnPC63NxcgsEgxcXFAHi9Xn71q19x3nnnVWt9\nNMzhnpPqrt+2bVu4N+Zor7/+Oq1btyY9Pb3K912yZAlXX30111xzDWPGjGHr1q0A7Nu3j/HjxzNw\n4EBuvPFG7rzzThYuXAiU9h4cOHCAvXv3MmbMGK699lquvfZafvvb3wLwwAMPUFxcTHZ2NrZth7cH\neOqpp7jqqqu4+uqr+fnPf47P56u0baNHj2bdunWVrs/NzcW2bYqKigDweDw89NBDXHbZZQCMGDGC\nl19+OeI5S5cuZfjw4eEzDBdffDHffPNNxPdg5cqVDB48uMrPrnPnzsdcP3/+fMaOHcuAAQPCy9LS\n0pgxY0al+yYQCODz+cK96q+99hpJSUnccsstOBylaey0007jN7/5DZ06dQJKv4c9evRgyZIlVbZZ\npLYUFxfj8/ki/oYHDx7Mgw8+SCgUAqrOaxXp3bs3eXl5HDp0qNL13377LQC///3vufrqqxkyZEh4\nfbNmzZg/fz5/+tOf2Lt3b6Vt37NnT0TPeXWkp6dzySWXsHz58vCywsJC3njjDUaMGBFedqy4j+cY\nZoyJeC2/38/8+fN5/PHHw73oAP369eNnP/sZ8+bNq/R9c3NzKS4uDvecH626uXD79u2sXbuWKVOm\n8O233/LFF1+E173wwgv06NGDq6++Orysc+fOLFiwIHzGrSJHf15HP77rrruYPHky+fn5lb6GnDin\nfEHtdDq5/vrreemll8LLli5dyo033gjAl19+SceOHSs8Ld+7d++IQvx4TJ06la1bt/KXv/yl3LpP\nP/2Uiy++uNzypk2bhtt1pAMHDrBz5066d+9ebt3AgQNJSkqqsj0vvvgigwcPJj09nd69e/PnP/85\nvO6nP/0pu3fvpnfv3owePZp58+bh9/vDpy+rWn+0bdu2kZ2dTXZ2Ntdccw233XZbpe2aO3duxLbZ\n2dkcPHiw3PpLLrmEzMxM3n33XZ5//vkKh8W88cYbEUVcZT7++GOeffZZFi9ezMqVKxk0aBC33347\nADNnzqRTp0689tprzJ8/P3wqDggXo0uXLqV169YsX76cv/zlL3z33Xf4fD5mz55NfHw8K1aswOFw\nhLd/9913WblyJcuWLeNvf/sbrVq1qvB7UV3Z2dkkJyeTmZnJ8OHDmTNnDjt37qRr164A9O3bFyBc\nlPt8Pt577z2uv/768Gu43W6ysrJ49dVXAdi1axeFhYXhU6fHUhZXZdavX09mZma55R07dmTgwIHh\nx59++inZ2dkMGTKEPn36sG7duvDp6q+++qrC7/uZZ54ZMVxpwIABvPXWW1W2WaS2pKSkcM899/Cz\nn/2Myy+/nHvvvZeXX36Z3r17VzpcrzpefPFFOnXqVGGxGwqFeOmll+jVqxcAn332GT179iy3XZMm\nTWjfvj2ff/45QPgH/uDBg8nMzOTaa6+lffv23HPPPcfdvpEjR0b8UH/ttde48MILIzqiKsvn0R7D\n/vvf/+LxeGjXrl25dRdddBH//ve/I9qVnZ3NlVdeyYUXXsijjz7KjBkzwvnxaNXNhUuWLKF///40\nbtyYQYMGhYehQOnQl4pi69GjR7gD4OjPJzs7OzxssiKWZTFkyBB69OjB1KlTK9zm6GNtdnY2Tz31\nVKWvKdE55cdQAwwbNoxBgwZRWFiI3+9n1apVTJ8+Pbw+GAxW+Dy/319l8VCZ+Ph4Hn/8cW6++eZy\nYzzN4fFOZZ555pnw2Oe9e/fyj3/8I+LXdFkPnW3bNWrL3r17efvtt1mxYgVQ2pvy8MMPc/vttxMf\nH0/z5s15+eWX+d///seaNWv45JNPGD58OFOmTGHEiBFVrj9amzZtwu9VlXvvvfeYY5zL1u/fv5+x\nY8fSuHHjSntIv/32W9q0aVPle3700UdcddVV4QNXdnY2s2bN4vvvv+fDDz8Mtz09PZ0rr7wy/Lyy\n3oM+ffowbtw4du7cyUUXXcSkSZPwer0RPwSO9PHHH5OVlRX+0VbRWL4DBw5w8803Y1kW3333HVOn\nTiUxMZGsrKxySdfr9fLMM8/w/fffs2bNGtauXcu4ceMYMWIE99xzD5ZlMWzYMF566SXOP/98Xnnl\nFfr160ejRo3Cr2FZFtdccw0PPPAAt956K6+88gpDhgyptIfpo48+4te//nX4cXZ2NgD33HNPueL5\n6O/37NmzWbNmDaFQiOLiYt5++20AevbsGTE+8Y9//CNjxozhH//4R3hcaVVat24d7rUTOVFuvvlm\nbrjhBtatW8e6det4+umnefrpp1m2bBler7fC44Zt2zidzvDjsh+UUHqGpn379ixYsCC8/rXXXmP9\n+vUYYwgGg5x99tnMmDEjvL6y41YgEAi/f9kPfCj9G7733nu5+OKLSUhIOO6Yzz//fBISElizZg0X\nXnghS5YsYdKkSRHbVJbPy3rda3oMg+ofpwcOHMjUqVMJBoM88sgj/Pe//6VPnz6Vvm51cqHf7+fl\nl19m9uzZAAwZMoSRI0eSk5ND8+bNcTgc1Yrt6M9nx44dEb3aRyp7/+nTp5Odnc2yZcvK9bIfz7FW\nonfK91BDaWF00UUX8dprr/HKK69w5ZVXhoubc889l61bt5KXl1fueWvWrIlqWMPZZ5/NhAkTmDhx\nIiUlJeHl5513Hp988kn48ZgxY1i5ciUrV65k79695f4wU1JSyMjICPc6HOmuu+5i8+bNx2zH0qVL\ncTgcjB8/nksvvZRf//rXFBQUhP8Q586dy3fffUeHDh0YOXIkv/3tb5kxYwYvvPBCtdafCI0aNeKJ\nJ55g2bJlvPnmmxVuU90irKJtjDGEQqFyPUxHHgDLdO3alXfffZdhw4axY8cOhg4dWuG+KeNyuSIS\nvs/nY+fOnRHbpKWlsXLlSlasWMHZZ5/NzJkzWbFiRYU9GH/4wx/47LPPaNWqFddddx1z5szh97//\nfcT+uO666/jggw/w+XwsW7aMUaNGlXudLl26YNs2mzZt4h//+EeliR1KT4uWfUeNMaxYsYIVK1ZU\n2BPdvXt31qxZE358//33s3LlSp588skK/87KDB8+nC1btrBv3z66detW4Wf67rvvMnfu3PDjo4sU\nkbq2fv16nnnmGRITE+nXrx/33HMPr732GpZlsXr1aqA0X5UN9yqTl5cX0fvcs2fP8N/R3//+d377\n29/Stm3b8PqBAweyYsUKVq5cyd///nfmzJlDkyZNgPJ/Y2VycnL4/vvvI87ilLn44ou5+eabufvu\nu4855OxYRowYwbJly9i0aRNFRUURF94fS7THsLJe3k2bNpVb98knn1R4nHa5XDz44IP4fL6InFGR\nqnLh66+/zqFDh3jkkUe49NJLueuuu7Asi8WLFwNUmq9efPFF/vjHPx7zvatSNsRy7ty54aGJUj9U\nUB82YsQIXn31VV555ZWIYRXNmzfnJz/5CRMnTowYQ/Xyyy/z1ltvceutt0b1vrfccgvp6enh00kA\nEyZM4M033+SVV14JF3e2bYd75sp6pI90++23M2vWLLZt2xbeftGiRWzatCliTNnRbNtm2bJlPPLI\nI7z77ru8++67vPfee4wdO5Y//elPAOzfv5/58+dTWFgIlBaX3377LV26dDnm+rPPPjuqz+Z4tW7d\nmvHjxzNr1qzweO4jZWRksH379ohlFfW49unTh9dff519+/YBpfs6LS2Ntm3b0r9///DwoP379/P2\n22+X6216/PHHWbRoEZdeeim//OUv6dixI1u3bsXlckUU62Xv3bt3b95++20KCgoA+O1vf8tzzz1X\naZxVnRUpKSnhiSeeCLcf4H//+1/E/khLS2PAgAEsWLAAp9NZ4QEWSs9WzJo1i3bt2lU6xvB42zdx\n4kR+//vf88EHH4SX+f1+3nrrrWMWv2+99RatWrWicePGXHHFFfh8Pp555pnwZ7pt2zYee+yxiFOo\n27dvP+b3X6S2NWnShCeffJJPP/00vGz37t0UFxeHhwn069ePxYsXh3PAwYMHWbFiBf369auVNkyY\nMIE33niDlStXRrRh0qRJ3HjjjeFrFY7Of7fccgupqanh6z6O15AhQ/jkk0944YUXGDly5HE9t6bH\nMCi9TmTSpEncd999bNmyJbz8/fff57nnnuOuu+6q8Hlut5vp06ezZMkSNm7ceMz3OFYu/Otf/8qE\nCRN47733wsfQ6dOns3TpUoqLixk2bBjr1q0Lz7wEpcNAFi5cyBlnnHHM963OePtu3bpxyy23sGjR\noiq3lbqjIR+HXXDBBRw4cIBGjRpFHJAB7r77bl5++WVuu+02/H4/fr+fc845hyVLltCyZcuo33vO\nnDkRF480b96cJUuWsGDBAp555hlcLhdFRUWcddZZLFmypMLCZtCgQUBpsRIKhSgpKeGss87i+eef\nD09LtmXLlvA4rrLT7r/61a8wxoSfX+bmm29m8eLFfPDBB0yfPp0nnniCIUOGEBcXRygUolevXjz4\n4IMAla5/6KGHjvuzOLoYmzt3Lv/v//2/iDZffvnl3HbbbRUWbrfccgsrV67kd7/7HRMnToxYl5WV\nxdtvvx0+jQqlwyvuv//+8GvfeOONTJo0iZtuuombbroJKO1NKht3NmXKFKZOncrgwYNJS0vjRz/6\nUfj0aFl7brrpJu677z6uvvpqPB4PnTt3ZuDAgTidTs4880x+/OMf88ILL4S379evH1u2bAlfFNip\nU6eIU7dHK/uhU5nbb78dh8PByJEjw6cau3btyvz58yO2GzlyJMOGDWPWrFmVvtbgwYP5zW9+E54+\nsjqqOjB17tyZ559/ngULFvD444/jdDrx+/1079494gLC9evXk52djWVZBAIB0tLSwheAut1u/vjH\nPzJ37lyuvvpqXC4XTqeT22+/PWLKxH/9619kZWVVu+0i0crIyGDRokXMnz+fXbt2kZCQgNfrZcaM\nGeGLyh944AEee+wxBg0ahMvlwhgTHudaG1q0aMGSJUuYN28eTz75JG63G4/Hw/DhwyOulTg6h7pc\nLqZOncrPfvYzbrjhhkqvg6lMUlISV1xxBX/7298qHLp2rHxenWNYZe2G0qGbTZs2ZerUqeTn54eH\nyTz77LPHLFp79OjB4MGDeeSRR/jrX/9a6XaV5cJNmzaxefPmclOJXnPNNTz55JMsX76ckSNHsnjx\nYubOnctTTz2FZVkkJiby6KOPhnvxK+uIOHJ5Zf8GGD9+PKtXr45Yvn379ojjXdln/swzz9C4ceNK\nY5WasUxNLjcWOQnZts11113HU089VW4O5up64YUXOPvsszn33HPx+/3hmT6ONQZP6kd+fn74QqmK\nZn0RERGpLVEV1Ndee214rHGrVq0YP348U6ZMweFw0KlTJ6ZNmwaUjtFdsmQJbreb8ePH079//1pp\nvMjx2rBhA3/5y1/CF48cr7Vr1zJnzpzwzUaysrLCM4BIw/LYY4/Rr1+/ao/jPBUoZ4uI1I0aF9R+\nv5/hw4dHzDs5YcIExowZQ8+ePZk2bRp9+vShW7du/PSnP2XFihUUFxczYsQIli9fXu4UjoiI1B3l\nbBGRulPjMdSbNm2isLCQMWPGEAqFuPvuu/n666/Dc1/27duXVatW4XA46NGjBy6XC6/XS0ZGBps3\nbw5f0CYiInVPOVtEpO7UuKCOj49nzJgxXH/99WzdupVbb7014mrUpKQkfD4fBQUFJCcnh5cnJibq\nrj4iIieYcraISN2pcUGdkZERnhMzIyODtLQ0vv766/D6goICUlJS8Hq9EXNali0/lqNv/CAiItFR\nzhYRqTs1LqiXL1/O5s2bmTZtGjk5Ofh8PjIzM1m7di0XXHABH374Ib169aJr167hW1GXlJSwZcuW\nctPSHc2yLHJzY6NHJD09OSZiiZU4QLE0VLESS3p6ctUb1QPl7OqJle8hxE4ssRIHKJaGqjbydo0L\n6qFDh/LAAw9w4403YlkWjz32GGlpaUydOpVAIECHDh3IysrCsixGjx7NyJEjMcYwceJETWElInKC\nKWeLiNSdBjsPdSz96omFWGIlDlAsDVWsxNJQe6jrWizsO4id7yHETiyxEgcoloaqNvK2bj0uIiIi\nIhIFFdQiIiIiIlFQQS0iIiIiEgUV1CIiIiIiUVBBLSIiIiISBRXUIiIiIiJRUEEtIiIiIhIFFdQi\nIiIiIlFQQS0iIiIiEgUV1CIiIiIiUVBBLSIiIiISBRXUIiIiIiJRUEEtIiIiIhIFFdQiIiIiIlFQ\nQS0iIiIiEgUV1CIiIiIiUVBBLSIiIiISBRXUIiIiIiJRUEEtIiIiIhIFFdQiIiIiIlFQQS0iIiIi\nEgUV1CIiIiIiUVBBLSIiIiISBRXUIiIiIiJRUEEtIiIiIhIFFdQiIiIiIlFQQS0iIiIiEgUV1CIi\nIiIiUYiqoM7Ly6N///58++23bNu2jZEjRzJq1Cgefvjh8DZLly7luuuuY/jw4bz//vvRtldERGpI\nOVtEpG7UuKAOBoNMmzaN+Ph4AGbPns3EiRP585//jG3bvPPOO+zdu5fFixezZMkSnn76aR5//HEC\ngUCtNV5ERKpHOVtEpO7UuKCeM2cOI0aMoFmzZhhj+Prrr+nZsycAffv2ZfXq1Xz55Zf06NEDl8uF\n1+slIyODzZs311rjRUSOVISfnRwkh3xChOq7OQ2KcraINDQhQuSQz04OUoS/vpsTlRoV1MuXL6dJ\nkyZkZmZijAHAtu3w+qSkJHw+HwUFBSQnJ4eXJyYmkp+fH2WTRUTK28YBPnbtYJNrH1+59rLatZ08\nCuq7WQ2CcraINDR5FLDatZ2vXHvZ5NrHx64dbONAfTerxlw1edLy5cuxLItVq1axefNm7rvvPvbv\n3x9eX1BQQEpKCl6vF5/PV255daSnJ1e90UkiVmKJlThAsTRUNY1lH0XspYQ0EiOWf08BnUjHibM2\nmnfSUs4+Poql4YmVOECxQGnP9Ab2kkRCxPK9lNAOF42PWn4yqFFB/ec//zn875/85Cc8/PDDzJ07\nl3Xr1nH++efz4Ycf0qtXL7p27cq8efPw+/2UlJSwZcsWOnXqVK33yM2NjV6R9PTkmIglVuIAxdJQ\nRRPLf515HLAKK1y3MZhDc07cAawhHiyVs6tPf1MNT6zEAYqlTA757HFV/NxNJodOoSbRNO241Ube\nrlFBXZH77ruPBx98kEAgQIcOHcjKysKyLEaPHs3IkSMxxjBx4kQ8Hk9tvaWICAA2dqXrQsdYdypT\nzhaR+nKsvHysfN6QWaZsQF0Do19wDUusxAGKpaGKJpZcfPzHlVtuuQX0Cv6IBE5cUdgQe6hPBH0P\nG55YiSVW4gDFUqYIP2tdOwlRvgTtGkwnHW+0zTsutZG3dWMXETnppeOlmUkqt7xDsNEJLaZFRKRq\nCXhoF0wrt7yZSTrhxXRtqbUhHyIi9alLqBm5+NjnLMKBg/RQImkn4YUtIiKngjakkRKMI9dZiI1N\n41DCSVtMgwpqEYkh6XhJD528CVlE5FSSRgJpodjo+NCQDxERERGRKKigFhERERGJggpqEREREZEo\nqKAWEREREYmCCmoRERERkSiooBYRERERiYIKahERERGRKKigFhERERGJggpqEREREZEoqKAWERER\nEYmCCmoRERERkSiooBYRERERiYIKahERERGRKKigFhERERGJggpqEREREZEoqKAWEREREYmCCmoR\nERERkSiooBYRERERiYIKahERERGRKKigFhERERGJggpqEREREZEoqKAWEREREYmCCmoRERERkSio\noBYRERERiYIKahERERGRKLhq+kTbtpk6dSrffvstDoeDhx9+GI/AZuZLAAAgAElEQVTHw5QpU3A4\nHHTq1Ilp06YBsHTpUpYsWYLb7Wb8+PH079+/ttovIiLVoJwtIlJ3alxQv/fee1iWxV//+lfWrl3L\nE088gTGGiRMn0rNnT6ZNm8Y777xDt27dWLx4MStWrKC4uJgRI0aQmZmJ2+2uzThEROQYlLNFROpO\njQvqyy67jEsuuQSAnTt3kpqayurVq+nZsycAffv2ZdWqVTgcDnr06IHL5cLr9ZKRkcHmzZvp0qVL\n7UQgIiJVUs4WEak7UY2hdjgc3H///cycOZNBgwZhjAmvS0pKwufzUVBQQHJycnh5YmIi+fn50byt\niIjUgHK2iEjdqHEPdZnZs2dzzz33MHToUEpKSsLLCwoKSElJwev14vP5yi2vSnp6cpXbnCxiJZZY\niQMUS0MVS7E0VMrZVVMsDU+sxAGKJVbVuKBeuXIlOTk5jBs3jri4OBwOB126dGHt2rVccMEFfPjh\nh/Tq1YuuXbsyb948/H4/JSUlbNmyhU6dOlX5+rm5sdEjkp6eHBOxxEocoFgaqliJpaEeYJSzqydW\nvocQO7HEShygWBqq2sjbNS6os7KymDJlCqNGjSIYDDJ16lTat2/P1KlTCQQCdOjQgaysLCzLYvTo\n0YwcOTJ8AYzH44m64SIiUn3K2SIidccyRw6ia0Bi6VdPLMQSK3GAYmmoYiWWhtpDXddiYd9B7HwP\nIXZiiZU4QLE0VLWRt3VjFxERERGRKKigFhERERGJggpqEREREZEoqKAWEREREYmCCmoRERERkSio\noBYRERERiYIKahERERGRKKigFhERERGJggpqEREREZEoqKAWEREREYmCCmoRERERkSiooBYRERER\niYIKahERERGRKKigFhERERGJggpqEREREZEoqKAWEREREYmCCmoRERERkSiooBYRERERiYIKahER\nERGRKKigFhERERGJggpqEREREZEoqKAWEREREYmCCmoRERERkSiooBYRERERiYIKahERERGRKKig\nFhERERGJggpqEREREZEoqKAWEREREYmCqyZPCgaDPPDAA+zYsYNAIMD48ePp2LEjU6ZMweFw0KlT\nJ6ZNmwbA0qVLWbJkCW63m/Hjx9O/f//abL+IiFSD8raISN2pUUH96quv0qhRI+bOncuhQ4cYMmQI\nnTt3ZuLEifTs2ZNp06bxzjvv0K1bNxYvXsyKFSsoLi5mxIgRZGZm4na7azsOERE5BuVtEZG6U6OC\n+qqrriIrKwuAUCiE0+nk66+/pmfPngD07duXVatW4XA46NGjBy6XC6/XS0ZGBps3b6ZLly61F4GI\niFRJeVtEpO7UaAx1QkICiYmJ+Hw+fvGLX3D33XdjjAmvT0pKwufzUVBQQHJycnh5YmIi+fn50bda\nRESOi/K2iEjdqVEPNcCuXbu44447GDVqFAMHDuRXv/pVeF1BQQEpKSl4vV58Pl+55dWRnp5c9UYn\niViJJVbiAMXSUMVSLA1RXebtWNp3iqXhiZU4QLHEqhoV1Hv37mXMmDE89NBD9OrVC4AzzzyTdevW\ncf755/Phhx/Sq1cvunbtyrx58/D7/ZSUlLBlyxY6depUrffIzY2NHpH09OSYiCVW4gDF0lDFSiwN\n9QBT13k7FvYdxM73EGInlliJAxRLQ1UbebtGBfVTTz3FoUOH+N3vfseiRYuwLItf/vKXzJw5k0Ag\nQIcOHcjKysKyLEaPHs3IkSMxxjBx4kQ8Hk/UjRYRkeOjvC0iUncsc+QgugYkln71xEIssRIHKJaG\nKlZiaag91HUtFvYdxM73EGInlliJAxRLQ1UbeVs3dhERERERiYIKahERERGRKKigFhERERGJggpq\nEREREZEoqKAWEREREYlCjW/sIrWjiAABK4QDizjjwo2zvpskIiKV8BOixAoC4DFO4nQYFRFUUNcb\ng+GAVUyJFQov81kBUu04EnDXY8tERKQiBZaffMt/xOMAicZFiomvx1aJSEOgIR/1pJhgRDFd5pCj\nBJsGOTW4iMgpK4gdUUyXKbSClBCshxaJSEOigrqelJ0yPJqh9JSiiIg0HMcqmgMVdI6IyKlFBXU9\nsbDquwkiIlJNytkiciwqqOtJnKl4+LrDWMTpwkQRkQYlHlelJXW80XUvIqc6XZRYT+Jx4TVufFYg\nvOx7s4/t7nwKrQDNgsl0C6WTTko9tlJERAAcWKTacRx0lISvcskhn22OgxxyF5Nk3Jzjb0Z70uu1\nnSJSP1RQ1yOviSPeuPETYiM5vBH/bXj09Dfug3zlyuWGkrM4TUV1VA5SRJ6jCD8hknCTTEJ9N0lE\nTkLxuPHYLooJspt83o3b+sOFihb8J34v2cWd6ULzem3nyc6HnzxHAUUEicOFWzNfyUlAQz7qmQsH\nibhZE7ez3KWIB60SPvPsrJd2xYpcfHznPITPCuC3bPZbJWwil2JdlS8iNeDAIhE36+N2lpv1wwY+\njvu+fhoWIwrws9V5gIOWH79VOrPKFvZzkKL6bprIMamgbgByOESuVXGy2GYdOsGtiR02NrmO8p+r\nDeQ5Ck58g0QkZuyi4hyy0/KRh/J2Te1xFFQ4dWyOo7AeWiNSfSqoG4AE4irdESl4TmhbYkkxQYKW\nXeG6Ak1NKCJRSKhkxGQSTrzEneDWxI7CI64rOlKxFSRIxflcpCFQQd0ApBDHmaZphes6l+gCl5ry\nHOMSAbemwBKRKHQuaVLh8jPtpsSpoK4xt6l4liuXcahgkQZN388TyGAoJkghgXK/tK8o6cjp5ocE\nHY9Fn0ArevCjiO3sw/9J1Vw4aFTJLYEb27owUUSq5idEIYFyN9zqQwa9gqcRf/jHuQM42zTlMn+7\ncq+hnF19TSrJzY2JRyW1NGSa5aMOFRPEf/jityA2+60iQtYPY8OSjJtkU9qTkUIcI0q6sJtDHKSE\nlqSQckQvRxCbHEc+B6wSQhiSjYfmdhKJGhJyTD+yk3E4YL9Vekt3t3HQhlSMhnyIyFGKCYYvWLYx\nHLCK8R9xF0SPcZJm4nEcLqKvDHaid7ANuzhEU+JoctSMTHscPvIoImDZxBsXLewkUqj4R76UakIi\ndqj0+pegZePEIp1E4m0V09KwqaCuAwcpYpfDh9+yS+eTcARJMC6OHmVQYAVwGwfxR0wJ1IIUWlTw\nmtscByLmrM63/BQ5gnS0Gx1zaMOpzoGDH9mpNMcmiI0HB01JJJf8+m6aiDQQhfjZ6fBRaAXIpZgi\nRwkpxg1WZBHnt0IU4A93hEBpZ0hKBXNP73bks8f64UK6YivIVudB2oUgWUX1MaXjpYmdiP9wzm5O\nqnK2NHj6yVfLCvHznfMQ/iMuhttvFbLNeQg/IfKtEg5ZJRQTwGAosqqevq0Af0QxXSZo2RxwFNdq\n+2OVCwfxuHTKUEQi2NhsdRyMuBiu2AryjXM/JQQpsPwcskooxI+NqfSiuaNfM6+SmZv2VjDzkJTn\nUM6Wk4y6NmvZ/gqSpQH2UoDLsnAdTg7FFngI4ankAowjlRxjzuRjrRMRkWM7QHGFswEVEGSHlY+3\nbFidBYUEK70u40h+bEIVTP0GytkisUo//WqZ/6iLT0LYh3uii8mjkIMUH7FtCEzFSfdIccf43RNv\n6zeRiEhNBR2ROdvGECJEgBAHKWY/RQSOGFddnQsMPThwVjKTUGXT7YnIyU1/2bUsCTf5h08N+iw/\n+QT4xpHLN659pNnxWDjw4uGMYBOakYTTclBJR8YRr+kh2cSRb5VELHcZB41IrMNoRERiW4LtgsMn\nCgusAAXk870jj69de0m03ThxEIeT9sHGtCG10mndjuTAQbpJZLdV/uYvTe2k2g5BRBoA9VDXssZ2\nIm7j4KBVTI5VwAFK2OjKwzIOiqwgccZJAJstzn0kGlf4avGqtLVTSDcJuE1pz0eq8dDebhQeQiIi\nIscvmXiSjYdCAuyxfPgoYbNrf+mMH5aNyzgAB985D2Abg4uqC2qAZraXlqEkPKY0y3uNm3ahVJI0\nM5NITFIPdS1z4aCtnUqeo5BEXPgopokdT4lVOqbOb9kkGw8hYDcFtDQpVb4mlPZ4tLRTaFm3zRcR\nOeW0tVPZ7yzEg4sQIdy2g1QrnhJsCh1B0m0PBtjp8tHe36jar5uOl3TbW3cNF5EGQ92bdcCBgxQT\nTwvbiwc3Bog3TpxYBA7PaWph4cGBp5q9HSIiUjdKZ5Tw0NJOOnwRosFlLNw48BPCHB43bRmLxCOm\nORURKaMe6jrgwUERfr51HOAQxexw5uPEQbNQEsnGg9d4cGLRyq5e77SIiNQty8A3zjwKsdnjLCAI\nNLETaWziSDRxuLFoHfJiVXOYnoicWqLqof7iiy8YPXo0ANu2bWPkyJGMGjWKhx9+OLzN0qVLue66\n6xg+fDjvv/9+VI09WdjAd84DfOnKYTP7yXMUkusoZI/TRyIeXDhobVJJR6cCReTEUc6u3C4OscG5\nh/+Qw0GrhFxHAbmOgziNCw9O0kwC7ezG9d1MEWmgatxD/fTTT/PKK6+QlFR6xfLs2bOZOHEiPXv2\nZNq0abzzzjt069aNxYsXs2LFCoqLixkxYgSZmZm43bF9yux/5LHRsZc8q5BD+DlEMXE4ibcsbOOn\nR6A17VBiFpETRzm7cvso5Av3HnIdReRTwj6rBA+wz2HjcxbRv6Qt7exGxOukrohUosY91G3btmXR\nokXhx1999RU9e/YEoG/fvqxevZovv/ySHj164HK58Hq9ZGRksHnz5uhb3cB949jPd85D7HL4+I6D\n7KGIXRSw0yokz1GM+zhPGRoMPquEPVYBux0+9ltFpXNYi4hUk3J25XY4DvGNcx+7HT7+f3t3GhzX\ndR14/H/f1q/3xg5wJ0XSotaQlB07sjxKWUqkirI4sbyNHadGcSSXnfIiq2wntpaUNleSyodIH1Kp\nKVcqH2JbjjMzVanMRE4pUqx4LJljUSZFUpZlLiJA7A309vY7H7rZJEBQpIQmNp7fJ3YD6L4XDzw4\nOO/ee16nzChV3qDKGB6TeIQqesvJdIOQCVXnlFFlQtXxuHCHRSHE6vW2E+pbb70V0zyzoU6f1aAk\nm81SrVap1Wrk8/n285lMhkql8nbfctUoG3V8FTFOg5hmQhySME2DGjGHrKm39HoV5VNVIYlqfo99\nFTNtNIguosGAEEKAxOw3M2HUCFXEFB4RGo0mQTODR6AiXjEniN5Ch8MGITOG3+7AGKmEsuFLUi3E\nGtax+1eGcSY3r9VqFAoFcrkc1Wr1nOcvRl9f/sKftAIlJORw6SbNzykDGjvd/CXWhUsqbeIT0ce5\n8yvjMYuPhaKbDC4WMQkhkF7gvdLYlLhwG9xOWa3XZCEyl5VpLc1lpZOYfUaRNF1kSJhCo7HSBgqF\ni0EehwhFmvQ58bZKwBQNALpJt9uUj1KlZ4HTQCwM+ljaxi6r+bqcba3MA2Qua1XHEuqrrrqKF198\nkXe+850899xzvPvd7+baa6/lr/7qrwiCAN/3ef3119mxY8dFvd74+OqtivQYLqmUQZ+ZJk4nBI0E\nDXSRYiqqc5IZXgyOsy4p4GCSkHDMmKGigvZrGCg2xnlcbKYNb8H3qWiTUC9NxaOvL7+qr8nZZC4r\n01qZy2r5BSMx+4y8kaKQStFtugTpBL+RoEjoIU059jmpZ3gpPMHmuLudNJ8yqozN64TYr7MMJFnG\njHM7JJ6mkqW7s7iW/k+thXmAzGWl6kTc7lhC/eUvf5mvf/3rhGHIFVdcwW233YZSik984hN87GMf\nQ2vNF7/4RRxn7XeJ2kY3V0X9jBsNTlGlTkgvGSbx0abBxrDEa8YUI6rK3ngdFfw5yTRAguakUWVH\ncv4mApYc3ySEeJskZp/Rn2S5LuplXFU5xCQ1ArpIM0NAYtboC3KcVDUmLI/rogFSmOck0wBjqkYB\nB1MrYqXP+Xiz66IQYi1S+uyFdCvIav6rZ5o6/+gc5EVrhLFsg6gREpOQxuGasJ9NusSgzpPWFtuS\nEhrOSahP2xoXSRQ01Nz1ewroTtLYS9QYZq39JSpzWXnWylxWS4W601bztQuI+V/WIZ63TzCSqzHd\nqJPDxSfiqqiXrUk363WBnLbp1WkGdY5TCyTUAIM6Sy5JMWv453ysmKRIL2FjmLX0f2otzANkLitV\nJ+K2/LncYQExPzVHOaXqGEAag15yFHAZSHKksLAxiWn+HVNW3ptehGbXxRQ5baN0syLtaJOuJUym\nhRBirUrQvGZM8nNzmkTF2CgGSOMAm5IitjKxUIStTYlTqoF6k1UbKoEMNoUkhdmK2aZWS55MCyGW\nlhyq2WENFXLYmuQXVpmyqtMgwSGijEdapfCJecOYoUyDwShHPxlKicuMeW6F2tEG2dZ6vZxOkSOF\n1lo6dQkhRId4RLxmTHLMLDNmVAmBmBiPGGVAKUoxZtaoaJ96FLFF5yniMsLCFep8a+NiBpuMtiVm\nC3GZkIS6w8o0GDUqTCmPUerM4BES00+OUVXGMqFLpwl1wrTl0xdluIYBenTIpGq0X8fSBhuS4jmv\nL4FZCCE6J1EJw2qWslFnCp8J6tQIGKTIKarYlkVfnCPAoWJNk45MEmBjnOeEOfd29/o4f8551RKz\nhbg8SELdYYqYk1Q4zjTTeGSw6cIij0mOFDXDZyjKksJkIM4yrmqcpMz6pEQXLjUCbEwKpDBkRY4Q\nQlxSSitGrQavUmYKjzQmBWzSxORwqePj6hwpFD1JlkCFvGZOck08QDZ2qNC8u5jHwZFfqUJctuR/\nf4eldYo3zAoKRQELFwOFySmqNFuxxMQWbI+K+GZzIZ6lDG4PMmRwyLD2d9QLIcRK4WAwrhpoEgrY\npFCkcBjFo0JMDyl+Yo1wdTRIaMApoG7ErI8LdJGmR36NCiGQTYkdN21UcTFRJMRAgskUPg2gRkiR\nNG9Q5mVrsv01ZQKOmJPnfU0hhBCXhkdEQoCD1doqrhhu1Z3rxESAR8LT1tHWo2YnxIPmOAHx8g1c\nCLGiSELdYdMEmGjypEljkcUkDVgkhCS8QZU0FhNUqSmfhIj+JMOU8qiy8NF5QgghLo0GIZFBO15n\nsChhk8EgJGaKOiExXViMGhVCPLrjDIGKmaB64TcQQlwW5F5VhzV00DrOTuO3qhcaExtFHpMyEW9Q\no4sMx8xJIhSuNunSWXpVikGKlLSLI0fiCSHEJRfiAzEOBlMkJGgiFBER68kxSYNRGqQxmTECThgV\nlDaY0R7KTFCJoqTTciSeEJc5Sag7zMNjlBoVAjwi/NYtwgw2deJWqg0mCaM0cDH4sX2KrUmJNCYb\nE58enWZn3NMO0Am6WUVRCRYGrrYw38LNhSoBI2aFGgEpTAbjPF2kL8HshRBidfGBCjGTrdM9AiAk\nIYfDDA1coAGEaKpBncgy2GePsCXxiNHECgraZWfSRUlnANBoGkSEKsZA4WrrLfUNCIgZNmZbfQoU\ng3GWfi7PhkFCrBaSUHfY62aFMgHTNOglS42QgJBJfH6JPqao42JQJ8DEIMZhjBl+KR5kUvkMEDGp\nGgyrCtt0FzGaSdVAn9XGtkJATtu42FgXSKxnaPCyNUrIma8fsWpcG/XRR+6SfR+EEGI1mGCWk8wy\nS0gXLjEJCT6T+OygG42PhU2NiJP4dDdyjDt1diiTUCXM4GEog+PGLNk4hYXBtPII1Jn11TUVkkks\nXOwL3n0MiNlvnprTPXfCarBFR2yLuy7Z90EIsTiSUHfYiDmLhaIHh0lqZFrhs0SKaRoYWEBMAYdJ\n6gyRQdFgxKjQMGeYMWrkohSTRo1ibGMpa04yXSegZoTMYFHUKUwN3Tpz3or1CXN2TjJ92lFzhr5Y\nEmohxOXtoDFJGoscFjUiTJodaos4BESAgU9CX5zllKphWopcw6GeDvipPcaYWaEYuKwz8hRihz5y\nc5Jpj4iaCpg0oVunUVrTrbPnTaxHmJ2TTJ92Qs2wgYIsBxRihZKEusMSpSniUiMixGMSjzQWDhCj\nqeFhoJlCU8BmnDJFHDwzpEHAf5hlMDXXRQN4ZsjVUT/raDZ48YiYUR5jVJlSHrahMDDp1hmujnoX\nrDjPnGejY0UFBMQrNjifYpaAmG7S5Fqdx4QQotMSlZDCII/LLBXqxGRahQ8TgxGqdONwzJwhH6do\nJCEuDrUoxrThx8YwiQvbki48lXBl0sM7kl4AYhIqqtksZpwqyjQwUWS0w66oh82cW3GuLNA1t/la\nmhkaK/bO4iRVaoTksOleoWMU4lKShLrDhnSaEjazhAyQaa2gbh76P0OdCOglRQ2PdKsNQA8ZJqhz\nnFlKNDckjlt1hsMaZesNfifKYGNzUs2y3xxl0qgzbjRIa5ONcZEE2G+Nsjcyz1kb7WDgLzBOG7Ui\nU+kyHvusYaaV135uV9LL1XH/Mo5KCLFW9WubXlyqrXOo89iAQQ6baSpksHFxsHSMbdrYmOSxaFgB\nR5kmjUOJFFNGgxGjWV3OJxbrKDFNjR+ZI0yqGifMChlt06czbI6LHLKmIFJspjRnPPabLON7K+uw\nl0pExI+sEUbUma6RQzrPL0dDWJJiiMuIHJvXYSoySGPTS4ppAmr4zBLyC8p4QD9pXKxmVZqQCj4v\nM8Y4HgNkCWlWNY5R5jVrktfNaV4wR4iIOGiO4auQSaOBrQ00cNycodaqQp+a1wYXoD/OLjjOAZ3F\nXIHB+SfWqTnJNMAhY4ITlJdpREKItcxObDLYFLGJ0VQaAVV8hpmlgqaITQ6LAg5aJ4xSZZgZjtkz\nDJADNLMEzOJzyBxn2JjlBeskATGHrClmlU/ZDLBa8XZc1RlTNTSa4QVi9sB5luLldYrSCtxM/oo1\nMSeZBhhRFV6xJpZpREIsD0moOyyx62gSZqjhE1Ejpk6IgYFP61YhISERLhYlHPI4VPBRmIR4zBDg\nABGaUMVMqjqvM01E87YfgIlqv+e0WUehqC/QZGAzJTbp4pzPH9I5roi7L/W34i2bosqkqi/4sePW\n7BKPRghxORg3a0SJYpoaHjF1EurEhGg0mjQppvGIVExiJvThkk43z6ieoUYGkxkaAGgUnoqo6ZDj\nqsw0DRSakAhHnylglA0fG0VDRcTz4naJNLui7jmfX9Quu+LepfmGvEVvnOcs7mNKiiDi8iL3Yzqs\nqhQhRuv2oUVM8wglhUkeh5CYEOgiQ406NSAGcjh4eJTI8CpTbGU9BoosNtO6xn8YVSr4bG4dneSp\nZoA2UNjaQqHInKfivD3uZhNFKnhksEmv0Pbmb9ZzLFlgY6UQQixWfdZCDcR4RFgYlLCJSTCxSGPi\nEwIJFiYZZTLu1DBQZHBwUQQoQjQ2JtnWr1QLeM78BTN4DJIhpU0qKsTWJmZruZ2BQVpbC94pHKJI\nf5yjQoABFFZgZfo0f4ENlAARCRGRLPsQlw35Se+wGiEm4GK1qtPNYJPBoAsXn5hesiRENDCoETJL\nRITPdgqcoMwmimjAJmFK1fi/qZP04DJKgx9j8t5gM2XLI1aabGLTH2cwUayLz39OqYNJDwsv/1gp\nunBxtYWnonM+1ptklmFEQoi1LlLNOF0kwywVGsREJLgkDFFCAwVy+EQkhACM4xHisZlsa511ijRg\nYuBGBt9L/YwcKRqE1An5tWAzhqWIVUI6cRhImrF4Y1yYM5aYuJ1gm5grconHfP06x4g6t0rdr3OS\nTIvLivy0d1gOh5gaNgYajUuzehyTME6V3QxxnDINIoYocJTR9mKMkBAXizoRRW1jRRYv2adIYeJg\n0ovLND4/dUa5OehnyjTp1y47dA9b4hImJv/PfIMj5jTTqkG3TrMr7mNn3L1iq9Jns7C4PurnR/bw\nnOe7tMvWRM5fFUJ0nqECEkwiNAYKB7Mdv0epsZtBxqjiEzBIjp9Taa+VHKPOFgpUCTFx6I8yfN85\nioNBFhsHhQa+7xzjo8FVVMwEC3hH3Me2uEg/OY6YYxw0JjhlVMnjsD3q4cq4d9U037oy6mba8uYU\nQlxtcWW08pYVCnEpSULdYQaKGDhFnYSEoNXKNoNFHre1EbGBQ4pJauSwSIhJ45AAG8kxTJ10ZHPK\nrrebtxxlFpfm7UKPhB66ucnvZ7vuJqdTBMT8yDzOQWuidZYIDKsqVSvEI+KGeGhFbkKcbyMlsqHF\nCatKg5C+KMNmilLpEEJcGjakMRinTkBEgCYiIYUiS4aYBK9Vm54lxEThYpEFUpjksPGJUFozTgMb\ngzQORymTxSZBUyBNjOb9/ha26iL9unk38WVzlAPmGKdaFV6PBjPWKeoq5JejDeRWQSGkhxw3R5s4\nYcwyY/jktMOWuCjHnYrLjmQpHVZREQExMTEBzfNNFSY5LKr4hKSxSBGTkCdDDwY+AdMEFMlRQdOF\ny6DK4SaKGaNBhG6dZW3iETJDg+7IZZA8VmvjygizTCm/nUyfNovPsJrhkNHcyZ7CpCtJk1nBgbqb\nHN2RnGMqhLj0YtunQkhAjEeMi4GLRQaTkIAEjUdIunWg3Tpy1Akp42Nj4pOgMNmaFDBjk6Jt0yAh\ng4WLSZ2IKj5mbLGZEhlsAMo0GFVVRuctlwiIGFNVDptj9OgsBlBK0hRXcIKaw2VX4kKy3CMRYvlI\nQt1hPgkxUauyrFtroRURmn5cYjQxCaq1YaOGh251VuwmQ5kGJTLUCJnWIVUCJvDRaEo4dJOjF5eM\nmWIm9giNiBQWVeXRUOE549EkHDeqZEkxqPNUCZk0PTbHxUsSoGMSairAI0YBaSyy2kGddcqIEEKs\nFL4ZU8OnmzRGa4mG2dpoWCJFjMbAIiJimpA0JtN4dJNmK0XGaGChsLVB1Q6ZJWCYChYmKSz6yJIi\nYcjIUo48PBVSUT5eEhIQLbDdOmHErJNSFk7cTL5nzIB+HTGYdL7QoNHUVECjNRYXk6x2ztt9Vwix\nMEmoO8wiZooAhWIGH91ofpNz2AxSYIYaw1S4kl5GqbGHIabxW5Vnjx26h/44y0lrlmEqKKAHhzIB\nFWIUDW7xN1JWDYqquckRfMZ1fc4xS6fVjJCu2CGl517qUZ+pQREAABm5SURBVKNGMelsQp2gmVIN\n4rNapVcJCUno0qtjPaAQ4vJiaQiBGkGrP2szZtuY7CCDhWKYGTbRBXisp4s8LhExYzQYosC2qMiw\n1WCaOjGa9eQZo0GMZoIad4TbiRU0jLD1DlA1fWI0CuYk1T4JjlakE3vOOMdUje5mi5mOzn9GeXhn\ntUqvE+ET06MzGFIIEeKiSULdaYnBmOFTx29tUIzRreYADiYNEvI4lGlgYXCEcbpIsZUu+sMsJdL8\nzJrGxKBKQJmQDBY9ZOkh1WwGYNW4IUjNqfqWVJoZ5ZHDoXpWu3EbgwHSFOYt8fBUREDU0eDcIJyT\nTJ/mq5hQxyuyy5cQ4vJmYDCdBEzrCFe7YCbEKiKHTQaHGgEpTHw8IhKOMEEvWdaTo5Bk2JKUOGpW\nsIFR6jQI0UAXaUqksDEZseq82zfnVH1zpBhTNQZ0hlNnnb+vDE0pdunV5xY86oQdjdkh8Zxk+rRY\naRo6JLuClwYKsdJIQt1hDV+BobEMkwoBCkihqJMQEuMTEaLJ4VKlgYGFRmFpRaSABBxtUFURdSKs\n1i3ICeoExGwkj29EHLImWKd9BuMs2VbQXpcU2ZTk+Zk5w4xqkNM2SZzCjU+fqzo3oTXm3dILiAiJ\nOG5WmFA1FIp+nWHLRTaBidT5F9CFJG8roT7KJCk0Q6zMpgZCiNVtoq7xYouUbVEzAojBwiDWCt/S\nVJWPg0kaB01MA0UCGLFJbGgMbRDqCAOTivIxMTBQTONRJeAKuolJeNWaJEgS+uNs+zi8jUkRhSZl\nzDBu1EhhkopcXO3gk5CaN1ZzXsU4IiEm5qRZYYQaiYrp0mk2xgWKF3FKSPgmi54jlbDAepQLGmEC\nH8UWet76FwuxiklC3WFBqEmbDoQaN7RRlibO+ngqIaUtUqbN+tbmFptmBp3GZlr59OhMuz1thZAU\nJh4xJpDBxsEgJqE7ztBQMZO6wazpsSvuw8Umj8PVcT+745ifGVMcNMepEfKaNcXPmeKaqI+BVmOY\nLu1itRLqCh4jRo2a8vmZOQVAd5LGwOANVaVihqyndMG5W2+y5m7+L4JZfI4wQUzCDor0MPc81gMM\n80+Zn3G01W3rmqSP32rs5ApJrIUQHRTOFKEwjOWnKcRplAHaiWhYEaZvoXO0WowrfCLSGNgYTJke\nmxMHWxvYKN5Qs/SRYZgqRVKAjYtBnZAduosGMTN4lE2fHXEXXWSwMbki7mJPvJ7jTLHfHqVKzFFz\nlqPMslkX2RE3E1NHG+Rb+148IkaMChUVcMKcoUxAb9LcNjmm6pRNn73x4AXnPj8un21+PPfxOcwk\nDWL6SbNtXiw+zgT/5L7Gy+YoABt1gdvq23k3G9/C1RBi9ZKEusPsao7uyT5OJh6+1hiGxrJSDHYD\njiZtmkzgk8emgqaOT4hmE12ERkw+stubGHfRzUmqTOFjtKoi63SeHu22l3uEaMbMGpviEiXdrGfM\n0OCAOQ40E/EiLrN4HLDGKUQp+nWeoaSZWNcJOGbOkqCZaa0hBIgN2s0HZpTPKaoXrC+72qKqgnOK\nGrY2SJ31o3aAUf63+zNqrbWETwP/JdjE+5KtAJxkgv+e3d8eiwEcNsaZzjT4Sv09ZJAmL0KIzjCm\nLYaqg5xo+Pi+QUyMnYnp6Q/JphxqOYsqMSYJPopRZhkgTR8FlDIxdEwXLq+i6SNDBothamg0JiZd\npNgYlfCMqLViGkbNGl1xBldbZHGIiHjZam4/tzHoS3KUjTrH1AxduGzQRTYlRQASEo4a0wQqISRi\npNX6e8SI2JjkURgEKmbYrLLpAlXiFBa2Ngjn3V1UNOP5acPM8j9ShxlXjfZzV+teftPfTqpVR/+H\n9GFeNSbbHx9Rs3wr+xMGamm2SiFEXAYkoe6w9LFuAj/GyoPn+GgMspFL13SWYPckoYaSspklJiKi\nnyw9uGgSZlSMq00GowxHnBnGWq3Ie8mS1g4xCVvDPEUypLGpt7p2eUTktM1AK0keNmtzxlRMUhSw\nCdAU4hRbz6o2TxuNdlvvsw/mrxGcdVBUs4pdOucG5FwmBl1JmqoKCFrr8lxtktdnvm4Wf04yDc2T\nlp5xjrPBy7ONXn7MeDuZ9ok4pWpU8MirGZ7iMJ9kz1u6JkIIcT7OaIbo2DrM7jKx66FJsKZTlH6R\nhvdME5BQwGSaAJ+IHrIMkCWNxQR1tpOjP0yTS9mU8UhjsZMSFhaGVmyJS2SxGYgzVFsnMVUJsLVu\nJ8mjVOfE3zQmbpIlQGMrk53xmcS4jEfQSoC9s+JoREKVkHwrTtdYuCX4fF06zSxnNiY62iQ375SP\nZ1Kvz0mmAQ6qCQbIchNbOMBwO5lOSBhXdSbxsDH4B+sAX4zejbuCj/0TohMkoe6wyvEMnpchU7JI\npcLmEXmhyXiUZt2GNKUiTDt1LHR7w4dGkaBoGA1ecIa5Lhpidxzzc6NMTIJLM6CWjQYbKdGVZHGw\nCFrrstfrHNuSN1/nrDBaNyHn1pmDs9bQzT8lJCRuJ9Snz069EAeTbp0m0c1azPzj8n7B5Jxk+myv\nWtNsi3qpWB7QTKYPqzMVjzIez6dPsLPRy3vYdFHjEUKIN+OP5Sm/Am6/i5GtkShQocVE3WJwu8dQ\nX45GKsQkxmntaolbDbwaKuDndoVNURd7gkFetieIW1Xm7XEXFSNgU1JkMMmRwaZXJ3jE5LTNruTN\nl2Scidlzl15ExpmY7c6L5/FZ657TFxmzDRQlnUbr5jGv80/2mGSW19TMgl/7Wmqam/wtTOG3xgyH\n1URrW2bzd8gBd4L/GfyMDwfXXtR4hFitliSh1lrz4IMPcuTIERzH4ZFHHmHjxrW5rsqbtEmCDNVp\nm1Q6ATOG2CAwDPoqfZR7jjFIgQOMUSemC7Od0iosjFaA3BgXyMYppqwGidK8I+xiB9uZUF77vRwM\nHAy2xXPbcq+Lsxw+69bb2QbJznmcxqLSqmT0kGIUm1qr8p1qjSWvHQbJMUWdi3W+45bOXRByRmg0\nE+2BKI+RglF17vvlcXnRHeY9niTUQlwql1PM9odzWGaFidfTpFIpsGO0qcm5kHt1EHeLRz1VxkBT\nIyTX6n4IkMZpN9PqIce7Qodhq0qsEgZ1lg/Wr2TUOlPZNTDIYLB1XsweIIerrTlV6tPWR/k5j1OJ\nxek82sZigCyjNO9K2q2iiIliKJ77dReiztMt4NwRnXG6NLKRPCYwoRrtZPq0YuzyE/MUN7ORgYvY\niyPEarUkJ7d///vfJwgCvvWtb3Hvvffy2GOPLcXbLossLsmUiz6ep/HTHhoHeolPFjE8hzDVYNDI\n4mjYQIkSKRTN0zUKuPRHGYq62YLcwKSXDDujHq4Me9mmu7k67meTLrQ2MzYT3WujvvaO8dO6ybEr\nOXfN2u5w8Jx2sN1JGks3fwwUJtvjEv1k6SKFjUG/znJN3NextuVbyOOeJ9neGjR/ydzIOnYkxTnH\n/wHsogcTg4kFEm0hROdcTjE7l4Zg0sSoOjRGMngnCsSjWcqTilLKwPBdenSKLrKUSOFgUiMkhcW6\nKEtWO+07eFkcdkTdXBn2siXp4moG2Rl1k26tR05piyuiLjbPSywtLPZEA+3YftoWXWTjvM8t4pLR\nZ6rPm+I868hR1A5ZLLq1y3XRQMfalg9QYJ1euKHM1qi5mXwrvdwUbmmfsX1aH5nWHyAwc5FLUIRY\nrZakQr1v3z5uuukmAK6//noOHDiwFG+7LArpEE4WqQc+ITFg4tYs9qx3GUtOkeiQ7WGGih3Ro9LU\niQGFR8D10SYqxsLLIdYnOUxMtsc9bKVETHN5xflcHfczGGcYM5rJ57qksGBnRAeLbUkX40aNKgEu\nGbYEXXS3kvROJdKn9VHgV71t/Iv78znP/1LSxzUMAJAhw39rvIvJTMBrxhSg6I+z5Fpj6dWyKVGI\nS+lyitlxoUZ2tsTYdIRvNO/OWVWLPd0lxuPjjOsy7w9KNOwyQ0aOcisxrOOzTg+SiV30AjWCDWGz\nQryBIhviIgHxm8bsdRR5f5jiDSpEZsJAnKWPhRPZLUmJCaNGGQ8w2B0NNosjGB2P2QDv9zfzPffw\nnOV6m3Sed8Yb2o8/EVzPGFX+03kD0GR0ioEkjcLARdE/7yQnIdaaJUmoq9Uq+fyZ20+WZZEkCYax\n9lqb/uL1DASavJEQY2OnElxDceD/JXzsXf3828aXcSzFgC4yoDU+AaZWbEhKbIt6wVL81Bib85rX\nJv1zgpF5kSGzhxw9F9Gq1sViY2tzzFJ4FxsY8DK8ak4Tq4StUYl30Dfnc3rJ8Dv1K/mn9JFzvv5G\nb8M5zwkhOudyitnRVJqpxCNnpEjFCtOGtKs5cjTkuokhftF1kMOOoqhTFBKbQTSRThhKcmzSea4J\n1/OMc2zOa27QeXYyd1/LmyXTp+VwuRKX82wzabMwGEzyDPLWlnW8Xdvo5ZPedRwwJqhaAeuCPNfQ\n2z7h47SPBFczYzbw5i37uCHcQEk2JYo1bkkS6lwuR6125uSJtRqYAaxyiuETNTK9CtdVeBWYbGhK\nbgr7tQHYq6gpsHTc2gySoad15vO00+C2YCcbyXPcmgVgU1RgHUuX7C6VzXSz+QINY97DJpyGwY/c\nk0yoOn06x7u8IfYiCbUQl9LlFLNn38gxNlsm5XpkUgZJkjBaT1CmgrEMjpswSUCftgGDrLboSjKk\nMCkTcwU9dAVpfm5O4xsRA2GWLRSxL3JT4GrRR4FfTQq82cqN9ZT4eONafuCe5KSqkNU21wR9/Fqy\nY+kGKsQyWZKEes+ePTzzzDPcdtttvPTSS+zcufOCX9PXtzR/eXdaNAb9jmZsuk7d0WAqCo6NO1Ig\nnRsjk3boJkUeFxeLHtLt44n6KdBHnj7yXL/M81jIclyT29jFbew680SHhrBaf74WInMRnXY5xex8\nPMlAkmc8rDEdR6Ah7ShKfg7cBtm0TRGbUitW95FpV5sHWvG6jzzvaC1ZW2mW+rr0kedGtnf+dVfp\nz9dCZC5r05Ik1LfeeivPP/88H/nIRwAuaoPL+HjlUg/rknjPDVM8/Y1eujakMPIxJFA+6fC+Xwv5\n1994nlI9xRVRgWkVkdIGjfaJGor1fo5xVua8+/ryq/aazCdzWZnWylzWwi+Yyylm//L7y3z/PwbJ\n1lM4vQGYmsZxm/53KDb+5rMcaijeGWxm2JglhUmgI4LW2Reb/cKKjdmwtv5PrYV5gMxlpepE3F6S\nhFopxUMPPbQUb7XsPvOZbhqNWf7Pv+XZf1DR3Z/wm7eFuL/1DP1xD7/mX8EmneUle4ITahYNDOgs\n7wnWt9rbCiHE8rqcYvYHbu1n+NUR/u0/BvjB8xkw4JZbAt572zCHdib81/rV/DLredka5Req3GyQ\npV32BgPson+5hy+EWCGkscsl8KUv5bjhBo3nTeJ5Nfb8joPBbtY3+onRmCi2BwNUCYgJKEoiLYQQ\ny+YznxngM5+BZ/59BB+4/maHGmk+Xb+dGI2BYmPQRZUAj4ACDk6HjqUTQqwNklBfIjffDNBNX9/m\nObdErLPOGW2eEypBWQghVoJfvXngnNvY82N2p853FkKsLWtz27YQQgghhBBLRBJqIYQQQgghFkES\naiGEEEIIIRZBEmohhBBCCCEWQRJqIYQQQgghFkESaiGEEEIIIRZBEmohhBBCCCEWQRJqIYQQQggh\nFkESaiGEEEIIIRZBEmohhBBCCCEWQRJqIYQQQgghFkESaiGEEEIIIRZBEmohhBBCCCEWQRJqIYQQ\nQgghFkESaiGEEEIIIRZBEmohhBBCCCEWQRJqIYQQQgghFkESaiGEEEIIIRZBEmohhBBCCCEWQRJq\nIYQQQgghFkESaiGEEEIIIRZBEmohhBBCCCEWQRJqIYQQQgghFkESaiGEEEIIIRZBEmohhBBCCCEW\nQRJqIYQQQgghFkESaiGEEEIIIRZhUQn1008/zb333tt+vH//fj70oQ/xsY99jCeeeKL9/BNPPMGd\nd97JRz/6UV5++eXFvKUQQoi3SWK2EEJcGtbb/cJHHnmE559/nl27drWfe+CBB3jiiSfYsGEDf/RH\nf8Thw4dJkoQf//jHPPXUU4yMjPDHf/zHfPe73+3I4IUQQlwcidlCCHHpvO0K9Z49e3jwwQfbj6vV\nKmEYsmHDBgDe+9738vzzz7Nv3z5uvPFGAIaGhkiShOnp6cWNWgghxFsiMVsIIS6dC1aov/vd7/J3\nf/d3c5577LHHuP3223nhhRfaz9VqNXK5XPtxNpvlxIkTuK5LqVRqP5/JZKhWq3R1dXVi/EIIIc4i\nMVsIIZbeBRPqD37wg3zwgx+84Atls1mq1Wr7ca1Wo1gsYts2tVptzvP5fP6Cr9fXd+HPWS3WylzW\nyjxA5rJSraW5LBeJ2Ysnc1l51so8QOayVnXslI9cLofjOJw4cQKtNT/4wQ/Yu3cvu3fv5gc/+AFa\na4aHh9Faz6l+CCGEWHoSs4UQonPe9qbEhTz00EN86UtfIkkSbrzxRq677joA9u7dy4c//GG01tx/\n//2dfEshhBBvk8RsIYToDKW11ss9CCGEEEIIIVYraewihBBCCCHEIkhCLYQQQgghxCJIQi2EEEII\nIcQidHRT4tvxvve9jy1btgCwe/duvvCFL/DSSy/x6KOPYlkWv/Irv8JnP/tZoNkO99lnn8WyLL76\n1a+2N9CsNFprHnzwQY4cOYLjODzyyCNs3LhxuYd1Qb/7u7/bPpd2w4YN3HPPPXzlK1/BMAx27NjB\nAw88AMB3vvMdvv3tb2PbNvfccw8333zzMo56rv379/MXf/EX/P3f/z3Hjx+/6PH7vs99993H5OQk\nuVyOxx9/fNnP3T17LocOHeLuu+9u/1/56Ec/yu23377i5xJFEX/yJ3/CyZMnCcOQe+65h+3bt6+6\n67LQPIaGhlblNVksidkry2qP2xKzV9Zc1krMPt9cLmnc1svo2LFj+p577jnn+d/+7d/WJ06c0Fpr\n/alPfUofOnRIHzx4UH/yk5/UWms9PDysf+/3fm8ph/qW/Ou//qv+yle+orXW+qWXXtKf/vSnl3lE\nF+b7vv7ABz4w57l77rlHv/jii1prre+//3799NNP6/HxcX3HHXfoMAx1pVLRd9xxhw6CYDmGfI6/\n/du/1XfccYf+8Ic/rLV+a+P/5je/qf/6r/9aa631P//zP+uHH3542eah9blz+c53vqO/+c1vzvmc\n1TCXf/zHf9SPPvqo1lrrmZkZffPNN6/K63L2PMrlsr755pv1U089tSqvyWJIzF5ZVnvclpi98uay\nVmL2/LksRdxe1iUfBw4cYHR0lN///d/n7rvv5ujRo2uiHe6+ffu46aabALj++us5cODAMo/owg4f\nPky9Xueuu+7iD/7gD9i/fz+vvPIKN9xwA9CsSv3nf/4nL7/8Mnv37sWyLHK5HFu2bOHIkSPLPPqm\nzZs38+STT7YfHzx48KLGf/jwYfbt28f73ve+9uf+8Ic/XJY5nLbQXP793/+dj3/843zta1+jVqut\nirncfvvtfO5znwMgjmNM07zon6uVNJez55EkCZZlcfDgQZ555plVd00WQ2L2yrLa47bE7JU3l7US\ns+fPZSni9pIt+VioHe4DDzzA3Xffza//+q+zb98+vvSlL/Hkk0+u+na41Wp1Tmcxy7JIkgTDWLlL\n1l3X5a677uLOO+/k6NGjfOpTn0KfdaLi6a5q87umZTIZKpXKcgz5HLfeeisnT55sP77Y8Z9+/vTP\n3fwOcsth/lyuv/56PvShD3HVVVfxN3/zNzzxxBPs2rVrxc8lnU4Dzf8Tn/vc5/jCF77AN77xjfbH\nV8t1mT+Pz3/+8wRBwJ133rnqrsnFkpi9smM2rP64LTF75c1lrcRsWPq4vWQJ9ULtcD3PwzRNoNlI\nYHx8vOPtcJdDLpebM9bVEJi3bNnC5s2b2/8ulUq88sor7Y/XajUKhQK5XO6c61MoFJZ8vBfj7O/5\nhcZ/9jVbiT9bt9xyS3tMt9xyCw8//DDvete7VsVcRkZG+OxnP8vHP/5xfuM3foM///M/b39sNV2X\n+fOoVCqr9ppcDInZKztmw9qL2xKzV8Zc1krMhqWN28saMZ588sl2BeTw4cMMDQ2tiXa4e/bs4dln\nnwXgpZdeYufOncs8ogv73ve+x+OPPw7A6Ogo1WqVG2+8kRdeeAGA5557jr1793Lttdeyb98+giCg\nUqnw+uuvs2PHjuUc+nldddVVvPjii8CFx7979+72NXv22Wfbt7dWij/8wz/kpz/9KQA//OEPufrq\nq1fFXCYmJrjrrru47777+MAHPgDArl27Vt11WWgeq/WaLIbE7JVlrcVtidnLP5e1ErPPN5dLeV2W\ntVNipVLhvvvuo1arYVkW999/P1u3bmX//v08+uij7Xa4n//854HmjvHnnnsOrTVf/epX2bNnz3IN\n/U3ps3aMAzz22GNs3bp1mUf15s7eDauU4r777qNUKvG1r32NMAy54oorePjhh1FK8dRTT/Htb38b\nrTWf/vSnueWWW5Z7+G0nT57k3nvv5Vvf+hZHjx7l61//+kWN3/M8vvzlLzM+Po7jOPzlX/4lPT09\nK2Yuhw8f5qGHHsK2bfr6+vizP/szstnsip/LI488wr/8y7+wbds2tNYopfjTP/1THn744VV1XRaa\nx7333svjjz++6q7JYkjMXlnWQtyWmL2y5rJWYvb55nIp47a0HhdCCCGEEGIRVv4iMSGEEEIIIVYw\nSaiFEEIIIYRYBEmohRBCCCGEWARJqIUQQgghhFgESaiFEEIIIYRYBEmohRBCCCGEWARJqIUQQggh\nhFgESaiFEEIIIYRYhP8PWXmIDHd5LV8AAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10ad2d410>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(12,14))\n",
"ax = fig.add_subplot(3,2,1)#, projection=\"3d\")\n",
"ax.scatter(X_test2[:, 0], X_test2[:, 1], s=50, c=y_test2, cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"Real Data\")\n",
"#ax.view_init(azim=-30)\n",
"\n",
"ax = fig.add_subplot(3,2,2)#, projection=\"3d\")\n",
"ax.scatter(X_train2[:, 0], X_train2[:, 1], s=50, c=lr.predict(X_train2), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.2)\n",
"ax.set_title(\"LOGISTIC REGRESSION (non-regularized)\")\n",
"\n",
"ax = fig.add_subplot(3,2,3)#, projection=\"3d\")\n",
"ax.scatter(X_test2[:, 0], X_test2[:, 1], s=50, c=rfc.predict(X_test2), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"RANDOM FOREST\")\n",
"#ax.view_init(azim=-30)\n",
"\n",
"ax = fig.add_subplot(3,2,4)#, projection=\"3d\")\n",
"ax.scatter(X_test2[:, 0], X_test2[:, 1], s=50, c=gbc.predict(X_test2), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"GRADIENT BOOSTING\")\n",
"#ax.view_init(azim=-30)\n",
"\n",
"ax = fig.add_subplot(3,2,5)#, projection=\"3d\")\n",
"ax.scatter(X_test2[:, 0], X_test2[:, 1], s=50, c=vc.predict(X_test2), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"VOTING CLASSIFIER (Logistic + SVM + GBC)\")\n",
"#ax.view_init(azim=-30)\n",
"\n",
"ax = fig.add_subplot(3,2,6)#, projection=\"3d\")\n",
"ax.scatter(X_test2[:, 0], X_test2[:, 1], s=50, c=svc.predict(X_test2), cmap=mpl.cm.winter, edgecolor=\"w\", alpha=0.1)\n",
"ax.set_title(\"SUPPORT VECTOR MACHINE\")\n",
"#ax.view_init(azim=-30)\n",
"\n",
"plt.suptitle(\"Classification comparison\", fontsize=20)\n",
"plt.subplots_adjust(wspace=0.2, hspace=0.3)\n",
"plt.show()\n",
"\n",
"# .azim / .elev"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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gefX7rGpeh18NoNVoidXHcGLGTDJre4h/6yM03q9aPfVe+VOOnzs1jBULsW97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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x103b772d0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
" * Support Vector -- 0.740241984258\n",
" * Gradient Boosting -- 0.811695380437\n",
" * Logistic regression -- 0.799487442378\n"
]
}
],
"source": [
"from sklearn.metrics import roc_curve, auc, precision_recall_curve\n",
"#print y_test.shape, svc_model.decision_function(X_test).shape\n",
"fp0, tp0, thr0 = roc_curve(y_test2, svc_model.decision_function(X_test2))\n",
"fp1, tp1, thr1 = roc_curve(y_test2, gbc_model.decision_function(X_test2))\n",
"fp2, tp2, thr2 = roc_curve(y_test2, lr_model.decision_function(X_test2))\n",
"#fp3, tp3, thr3 = roc_curve(y_test, vc_model.decision_function(X_test))\n",
"\n",
"plt.figure(figsize=(7,6))\n",
"plt.plot(fp0, tp0, label=\"SVM\")\n",
"plt.plot(fp1, tp1, label=\"Gradeint boosting\")\n",
"plt.plot(fp2, tp2, label=\"Logistic regression\")\n",
"plt.plot([0, 1], [0, 1], \"k--\", alpha=0.3)\n",
"#plt.plot(fp1, tp1, label=\"Majority voting\")\n",
"plt.legend(loc=2)\n",
"plt.grid(False)\n",
"plt.show()\n",
"\n",
"print \" * Support Vector -- \", auc(fp0, tp0)\n",
"print \" * Gradient Boosting --\", auc(fp1, tp1)\n",
"print \" * Logistic regression --\", auc(fp2, tp2)"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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DRddUsoaJYdq0dSdp7U4wsiJAWdiDqh7+EbD7e73v4ZA1LDKGSSZrEYlniCYy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\nYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10cf5a390>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pre0, rec0, thr0 = precision_recall_curve(y_test2, svc_model.decision_function(X_test2))\n",
"pre1, rec1, thr1 = precision_recall_curve(y_test2, gbc_model.decision_function(X_test2))\n",
"pre2, rec2, thr2 = precision_recall_curve(y_test2, lr_model.decision_function(X_test2))\n",
"\n",
"plt.figure(figsize=(8,5))\n",
"plt.plot(rec0, pre0, label=\"SVM\")\n",
"plt.plot(rec1, pre1, label=\"Gradeint boosting\")\n",
"plt.plot(rec2, pre2, label=\"Logistic regression\")\n",
"\n",
"plt.legend(loc=1)\n",
"plt.grid(False)\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.12"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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